Overview

Dataset statistics

Number of variables526
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory919.7 KiB
Average record size in memory4.6 KiB

Variable types

Numeric512
Categorical13
Text1

Alerts

0.16 is highly imbalanced (88.0%)Imbalance
0.17 is highly imbalanced (76.1%)Imbalance
0.18 is highly imbalanced (71.1%)Imbalance
0.20 is highly imbalanced (61.7%)Imbalance
0.30 is highly imbalanced (62.6%)Imbalance
0.32 is highly imbalanced (85.3%)Imbalance
0.33 is highly imbalanced (88.0%)Imbalance
0.34 is highly imbalanced (73.8%)Imbalance
0.36 is highly imbalanced (71.8%)Imbalance
0.47 is highly imbalanced (57.6%)Imbalance
0.49 is highly imbalanced (75.3%)Imbalance
0.50 is highly imbalanced (72.5%)Imbalance
1756079077 has unique valuesUnique
6423697 has unique valuesUnique
0 has 180 (90.5%) zerosZeros
0.1 has 172 (86.4%) zerosZeros
7 has 2 (1.0%) zerosZeros
0.2 has 172 (86.4%) zerosZeros
0.3 has 155 (77.9%) zerosZeros
0.4 has 116 (58.3%) zerosZeros
0.5 has 87 (43.7%) zerosZeros
0.6 has 98 (49.2%) zerosZeros
0.7 has 98 (49.2%) zerosZeros
0.8 has 104 (52.3%) zerosZeros
0.9 has 97 (48.7%) zerosZeros
0.10 has 94 (47.2%) zerosZeros
0.11 has 99 (49.7%) zerosZeros
0.12 has 104 (52.3%) zerosZeros
0.13 has 144 (72.4%) zerosZeros
0.14 has 157 (78.9%) zerosZeros
0.15 has 179 (89.9%) zerosZeros
0.19 has 172 (86.4%) zerosZeros
0.21 has 129 (64.8%) zerosZeros
0.22 has 89 (44.7%) zerosZeros
0.23 has 102 (51.3%) zerosZeros
0.24 has 101 (50.8%) zerosZeros
0.25 has 109 (54.8%) zerosZeros
0.26 has 98 (49.2%) zerosZeros
0.27 has 110 (55.3%) zerosZeros
0.28 has 107 (53.8%) zerosZeros
0.29 has 124 (62.3%) zerosZeros
0.31 has 173 (86.9%) zerosZeros
0.35 has 177 (88.9%) zerosZeros
0.37 has 157 (78.9%) zerosZeros
3.68 has 2 (1.0%) zerosZeros
7.15 has 2 (1.0%) zerosZeros
0.38 has 118 (59.3%) zerosZeros
1.4 has 2 (1.0%) zerosZeros
2.88 has 2 (1.0%) zerosZeros
2.89 has 2 (1.0%) zerosZeros
2.90 has 2 (1.0%) zerosZeros
3.69 has 2 (1.0%) zerosZeros
2.91 has 2 (1.0%) zerosZeros
1.5 has 3 (1.5%) zerosZeros
2.92 has 2 (1.0%) zerosZeros
2.93 has 2 (1.0%) zerosZeros
3.70 has 3 (1.5%) zerosZeros
0.39 has 89 (44.7%) zerosZeros
2.94 has 2 (1.0%) zerosZeros
2.95 has 2 (1.0%) zerosZeros
2.96 has 2 (1.0%) zerosZeros
2.97 has 2 (1.0%) zerosZeros
2.98 has 2 (1.0%) zerosZeros
2.99 has 2 (1.0%) zerosZeros
2.100 has 2 (1.0%) zerosZeros
0.40 has 104 (52.3%) zerosZeros
0.41 has 100 (50.3%) zerosZeros
3.72 has 2 (1.0%) zerosZeros
3.73 has 2 (1.0%) zerosZeros
4.62 has 2 (1.0%) zerosZeros
3.74 has 2 (1.0%) zerosZeros
0.42 has 111 (55.8%) zerosZeros
5.29 has 3 (1.5%) zerosZeros
3.75 has 2 (1.0%) zerosZeros
3.76 has 3 (1.5%) zerosZeros
3.77 has 2 (1.0%) zerosZeros
4.63 has 2 (1.0%) zerosZeros
6.39 has 3 (1.5%) zerosZeros
0.43 has 102 (51.3%) zerosZeros
0.44 has 95 (47.7%) zerosZeros
0.45 has 99 (49.7%) zerosZeros
0.46 has 104 (52.3%) zerosZeros
0.48 has 159 (79.9%) zerosZeros

Reproduction

Analysis started2023-12-10 06:25:09.314175
Analysis finished2023-12-10 06:25:15.833759
Duration6.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1756079077
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7552472 × 109
Minimum1.7481473 × 109
Maximum1.7623355 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:15.952779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.7481473 × 109
5-th percentile1.7488477 × 109
Q11.7515988 × 109
median1.7555343 × 109
Q31.7587059 × 109
95-th percentile1.7612496 × 109
Maximum1.7623355 × 109
Range14188254
Interquartile range (IQR)7107063

Descriptive statistics

Standard deviation4135907.3
Coefficient of variation (CV)0.0023563104
Kurtosis-1.2494208
Mean1.7552472 × 109
Median Absolute Deviation (MAD)3451023
Skewness-0.070090279
Sum3.492942 × 1011
Variance1.7105729 × 1013
MonotonicityNot monotonic
2023-12-10T15:25:16.190579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1758942210 1
 
0.5%
1759830537 1
 
0.5%
1758104093 1
 
0.5%
1750234176 1
 
0.5%
1758244717 1
 
0.5%
1757287677 1
 
0.5%
1758475967 1
 
0.5%
1756177356 1
 
0.5%
1753877828 1
 
0.5%
1761323155 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1748147293 1
0.5%
1748230308 1
0.5%
1748316190 1
0.5%
1748335182 1
0.5%
1748399508 1
0.5%
1748441317 1
0.5%
1748456404 1
0.5%
1748567396 1
0.5%
1748657360 1
0.5%
1748787860 1
0.5%
ValueCountFrequency (%)
1762335547 1
0.5%
1762312491 1
0.5%
1761982193 1
0.5%
1761968551 1
0.5%
1761956122 1
0.5%
1761525824 1
0.5%
1761509387 1
0.5%
1761437784 1
0.5%
1761351462 1
0.5%
1761323155 1
0.5%

11305545
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11433883
Minimum11305534
Maximum11680730
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:16.466073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11305534
5-th percentile11305534
Q111305595
median11305660
Q311500625
95-th percentile11680641
Maximum11680730
Range375196
Interquartile range (IQR)195030

Descriptive statistics

Standard deviation149125.45
Coefficient of variation (CV)0.013042416
Kurtosis-1.175214
Mean11433883
Median Absolute Deviation (MAD)126
Skewness0.60771223
Sum2.2753427 × 109
Variance2.22384 × 1010
MonotonicityNot monotonic
2023-12-10T15:25:16.720620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
11305555 17
 
8.5%
11305534 13
 
6.5%
11305645 12
 
6.0%
11305660 11
 
5.5%
11305635 11
 
5.5%
11305535 10
 
5.0%
11500560 7
 
3.5%
11305595 7
 
3.5%
11500640 7
 
3.5%
11305615 7
 
3.5%
Other values (29) 97
48.7%
ValueCountFrequency (%)
11305534 13
6.5%
11305535 10
5.0%
11305545 7
3.5%
11305555 17
8.5%
11305575 1
 
0.5%
11305595 7
3.5%
11305603 3
 
1.5%
11305615 7
3.5%
11305625 6
 
3.0%
11305635 11
5.5%
ValueCountFrequency (%)
11680730 1
 
0.5%
11680720 1
 
0.5%
11680690 3
1.5%
11680670 1
 
0.5%
11680656 1
 
0.5%
11680650 3
1.5%
11680640 5
2.5%
11680630 6
3.0%
11680610 1
 
0.5%
11680590 4
2.0%

0
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.34673367
Minimum0
Maximum20
Zeros180
Zeros (%)90.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:16.923275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6923407
Coefficient of variation (CV)4.8808087
Kurtosis94.843091
Mean0.34673367
Median Absolute Deviation (MAD)0
Skewness8.8594534
Sum69
Variance2.8640171
MonotonicityNot monotonic
2023-12-10T15:25:17.165996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 180
90.5%
2 14
 
7.0%
7 2
 
1.0%
20 1
 
0.5%
1 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 180
90.5%
1 1
 
0.5%
2 14
 
7.0%
6 1
 
0.5%
7 2
 
1.0%
20 1
 
0.5%
ValueCountFrequency (%)
20 1
 
0.5%
7 2
 
1.0%
6 1
 
0.5%
2 14
 
7.0%
1 1
 
0.5%
0 180
90.5%

38
Real number (ℝ)

Distinct144
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.50251
Minimum28
Maximum1289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:17.432368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile45.9
Q172.5
median121
Q3205
95-th percentile523.1
Maximum1289
Range1261
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation176.22451
Coefficient of variation (CV)0.97629951
Kurtosis10.312667
Mean180.50251
Median Absolute Deviation (MAD)58
Skewness2.7567305
Sum35920
Variance31055.08
MonotonicityNot monotonic
2023-12-10T15:25:17.668055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 5
 
2.5%
85 4
 
2.0%
56 4
 
2.0%
98 4
 
2.0%
59 4
 
2.0%
61 4
 
2.0%
124 4
 
2.0%
82 3
 
1.5%
58 3
 
1.5%
121 3
 
1.5%
Other values (134) 161
80.9%
ValueCountFrequency (%)
28 2
1.0%
31 1
 
0.5%
32 1
 
0.5%
36 1
 
0.5%
38 1
 
0.5%
41 2
1.0%
44 1
 
0.5%
45 1
 
0.5%
46 2
1.0%
48 3
1.5%
ValueCountFrequency (%)
1289 1
0.5%
934 1
0.5%
814 1
0.5%
781 1
0.5%
779 1
0.5%
620 1
0.5%
585 1
0.5%
579 1
0.5%
563 1
0.5%
533 1
0.5%

41
Real number (ℝ)

Distinct130
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.76884
Minimum3
Maximum581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:17.931475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile26.9
Q164
median106
Q3141
95-th percentile307.4
Maximum581
Range578
Interquartile range (IQR)77

Descriptive statistics

Standard deviation96.334627
Coefficient of variation (CV)0.77834311
Kurtosis5.4501092
Mean123.76884
Median Absolute Deviation (MAD)41
Skewness2.1209267
Sum24630
Variance9280.3604
MonotonicityNot monotonic
2023-12-10T15:25:18.243157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77 5
 
2.5%
61 4
 
2.0%
67 4
 
2.0%
125 4
 
2.0%
64 4
 
2.0%
141 4
 
2.0%
133 4
 
2.0%
108 3
 
1.5%
31 3
 
1.5%
302 3
 
1.5%
Other values (120) 161
80.9%
ValueCountFrequency (%)
3 1
0.5%
8 1
0.5%
12 2
1.0%
15 2
1.0%
16 1
0.5%
18 1
0.5%
23 1
0.5%
26 1
0.5%
27 1
0.5%
30 2
1.0%
ValueCountFrequency (%)
581 1
0.5%
500 1
0.5%
485 1
0.5%
475 1
0.5%
449 1
0.5%
440 1
0.5%
377 1
0.5%
374 1
0.5%
354 1
0.5%
347 1
0.5%

19
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.904523
Minimum2
Maximum549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:18.468898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q133.5
median53
Q375
95-th percentile174.9
Maximum549
Range547
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation59.165373
Coefficient of variation (CV)0.88432546
Kurtosis22.908476
Mean66.904523
Median Absolute Deviation (MAD)20
Skewness3.7182716
Sum13314
Variance3500.5413
MonotonicityNot monotonic
2023-12-10T15:25:18.702299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 7
 
3.5%
65 6
 
3.0%
61 6
 
3.0%
49 5
 
2.5%
29 5
 
2.5%
39 4
 
2.0%
62 4
 
2.0%
24 4
 
2.0%
34 4
 
2.0%
53 4
 
2.0%
Other values (90) 150
75.4%
ValueCountFrequency (%)
2 1
 
0.5%
4 1
 
0.5%
7 2
1.0%
9 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
14 4
2.0%
15 1
 
0.5%
16 1
 
0.5%
18 1
 
0.5%
ValueCountFrequency (%)
549 1
0.5%
266 1
0.5%
242 1
0.5%
230 1
0.5%
229 1
0.5%
222 1
0.5%
221 1
0.5%
217 1
0.5%
206 1
0.5%
201 1
0.5%

23
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.23618
Minimum2
Maximum992
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:18.930697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile25.9
Q143.5
median71
Q3128
95-th percentile328.8
Maximum992
Range990
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation130.98716
Coefficient of variation (CV)1.1466346
Kurtosis18.719045
Mean114.23618
Median Absolute Deviation (MAD)33
Skewness3.7421971
Sum22733
Variance17157.636
MonotonicityNot monotonic
2023-12-10T15:25:19.160080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 5
 
2.5%
71 5
 
2.5%
36 5
 
2.5%
43 5
 
2.5%
65 4
 
2.0%
80 4
 
2.0%
30 4
 
2.0%
75 4
 
2.0%
38 4
 
2.0%
35 4
 
2.0%
Other values (108) 155
77.9%
ValueCountFrequency (%)
2 1
 
0.5%
5 1
 
0.5%
8 2
1.0%
17 1
 
0.5%
18 3
1.5%
22 1
 
0.5%
25 1
 
0.5%
26 2
1.0%
27 1
 
0.5%
28 2
1.0%
ValueCountFrequency (%)
992 1
0.5%
860 1
0.5%
832 1
0.5%
478 1
0.5%
452 1
0.5%
377 1
0.5%
370 1
0.5%
341 1
0.5%
339 1
0.5%
336 1
0.5%

64
Real number (ℝ)

Distinct150
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.86432
Minimum5
Maximum903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:19.405918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile49.8
Q1108
median177
Q3235
95-th percentile540
Maximum903
Range898
Interquartile range (IQR)127

Descriptive statistics

Standard deviation157.07718
Coefficient of variation (CV)0.74847013
Kurtosis5.1805759
Mean209.86432
Median Absolute Deviation (MAD)65
Skewness2.0689095
Sum41763
Variance24673.239
MonotonicityNot monotonic
2023-12-10T15:25:19.640665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
219 5
 
2.5%
119 4
 
2.0%
108 3
 
1.5%
206 3
 
1.5%
104 3
 
1.5%
167 3
 
1.5%
207 3
 
1.5%
191 3
 
1.5%
194 3
 
1.5%
179 2
 
1.0%
Other values (140) 167
83.9%
ValueCountFrequency (%)
5 1
0.5%
12 1
0.5%
23 2
1.0%
27 1
0.5%
29 1
0.5%
42 1
0.5%
47 1
0.5%
48 2
1.0%
50 2
1.0%
61 1
0.5%
ValueCountFrequency (%)
903 1
0.5%
902 1
0.5%
776 1
0.5%
753 1
0.5%
737 1
0.5%
697 1
0.5%
683 1
0.5%
585 1
0.5%
581 1
0.5%
549 1
0.5%

38.1
Real number (ℝ)

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.53769
Minimum0
Maximum1083
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:19.930791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.9
Q168.5
median112
Q3185
95-th percentile443.4
Maximum1083
Range1083
Interquartile range (IQR)116.5

Descriptive statistics

Standard deviation153.98507
Coefficient of variation (CV)0.97128367
Kurtosis9.7127476
Mean158.53769
Median Absolute Deviation (MAD)51
Skewness2.7299501
Sum31549
Variance23711.401
MonotonicityNot monotonic
2023-12-10T15:25:20.174514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 6
 
3.0%
98 5
 
2.5%
61 4
 
2.0%
275 4
 
2.0%
114 4
 
2.0%
121 4
 
2.0%
128 4
 
2.0%
66 3
 
1.5%
48 3
 
1.5%
28 3
 
1.5%
Other values (126) 159
79.9%
ValueCountFrequency (%)
0 1
 
0.5%
3 1
 
0.5%
7 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
23 1
 
0.5%
25 1
 
0.5%
28 3
1.5%
29 1
 
0.5%
36 1
 
0.5%
ValueCountFrequency (%)
1083 1
0.5%
831 1
0.5%
755 1
0.5%
717 1
0.5%
693 1
0.5%
555 1
0.5%
550 1
0.5%
529 1
0.5%
473 1
0.5%
456 1
0.5%

21
Real number (ℝ)

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.356784
Minimum6
Maximum218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:20.414102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile19.9
Q134
median54
Q377
95-th percentile160
Maximum218
Range212
Interquartile range (IQR)43

Descriptive statistics

Standard deviation41.091034
Coefficient of variation (CV)0.64856565
Kurtosis2.5826029
Mean63.356784
Median Absolute Deviation (MAD)21
Skewness1.5510364
Sum12608
Variance1688.4731
MonotonicityNot monotonic
2023-12-10T15:25:20.650175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 6
 
3.0%
34 6
 
3.0%
50 4
 
2.0%
26 4
 
2.0%
23 4
 
2.0%
54 4
 
2.0%
62 4
 
2.0%
70 4
 
2.0%
20 4
 
2.0%
31 4
 
2.0%
Other values (93) 155
77.9%
ValueCountFrequency (%)
6 2
1.0%
10 1
 
0.5%
13 1
 
0.5%
15 2
1.0%
17 2
1.0%
18 1
 
0.5%
19 1
 
0.5%
20 4
2.0%
21 1
 
0.5%
22 2
1.0%
ValueCountFrequency (%)
218 1
0.5%
211 1
0.5%
201 1
0.5%
194 1
0.5%
188 1
0.5%
173 1
0.5%
172 1
0.5%
171 1
0.5%
166 1
0.5%
160 2
1.0%

22
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.170854
Minimum4
Maximum236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:20.874336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile18.9
Q135.5
median57
Q381.5
95-th percentile171.2
Maximum236
Range232
Interquartile range (IQR)46

Descriptive statistics

Standard deviation45.615332
Coefficient of variation (CV)0.67909412
Kurtosis2.2542395
Mean67.170854
Median Absolute Deviation (MAD)23
Skewness1.5240455
Sum13367
Variance2080.7585
MonotonicityNot monotonic
2023-12-10T15:25:21.111943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 6
 
3.0%
71 6
 
3.0%
40 6
 
3.0%
28 5
 
2.5%
27 5
 
2.5%
34 5
 
2.5%
45 4
 
2.0%
36 4
 
2.0%
63 4
 
2.0%
81 4
 
2.0%
Other values (88) 150
75.4%
ValueCountFrequency (%)
4 1
0.5%
5 1
0.5%
11 1
0.5%
13 2
1.0%
14 1
0.5%
15 2
1.0%
18 2
1.0%
19 2
1.0%
21 2
1.0%
22 2
1.0%
ValueCountFrequency (%)
236 1
0.5%
227 1
0.5%
225 1
0.5%
203 1
0.5%
194 1
0.5%
186 1
0.5%
182 1
0.5%
180 1
0.5%
177 1
0.5%
173 1
0.5%

3
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.417085
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:21.325916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q316
95-th percentile29
Maximum47
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.2174924
Coefficient of variation (CV)0.66178915
Kurtosis1.8630664
Mean12.417085
Median Absolute Deviation (MAD)4
Skewness1.3485991
Sum2471
Variance67.527181
MonotonicityNot monotonic
2023-12-10T15:25:21.537288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5 17
 
8.5%
11 16
 
8.0%
8 15
 
7.5%
6 15
 
7.5%
9 14
 
7.0%
10 12
 
6.0%
4 12
 
6.0%
7 10
 
5.0%
15 10
 
5.0%
13 8
 
4.0%
Other values (24) 70
35.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 5
 
2.5%
4 12
6.0%
5 17
8.5%
6 15
7.5%
7 10
5.0%
8 15
7.5%
9 14
7.0%
10 12
6.0%
11 16
8.0%
ValueCountFrequency (%)
47 1
 
0.5%
41 1
 
0.5%
37 1
 
0.5%
36 1
 
0.5%
33 1
 
0.5%
31 1
 
0.5%
30 3
1.5%
29 2
1.0%
28 2
1.0%
27 3
1.5%

4
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.070352
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:21.838333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q314
95-th percentile30
Maximum49
Range48
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.5490312
Coefficient of variation (CV)0.70826695
Kurtosis2.7265448
Mean12.070352
Median Absolute Deviation (MAD)4
Skewness1.6051282
Sum2402
Variance73.085935
MonotonicityNot monotonic
2023-12-10T15:25:22.467119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5 17
 
8.5%
7 16
 
8.0%
9 16
 
8.0%
12 15
 
7.5%
10 12
 
6.0%
11 12
 
6.0%
8 12
 
6.0%
6 11
 
5.5%
4 11
 
5.5%
14 9
 
4.5%
Other values (25) 68
34.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 8
4.0%
4 11
5.5%
5 17
8.5%
6 11
5.5%
7 16
8.0%
8 12
6.0%
9 16
8.0%
10 12
6.0%
ValueCountFrequency (%)
49 1
 
0.5%
44 1
 
0.5%
39 1
 
0.5%
35 3
1.5%
34 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 2
1.0%
29 3
1.5%
28 1
 
0.5%

0.1
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48241206
Minimum0
Maximum25
Zeros172
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:22.764679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum25
Range25
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.2266617
Coefficient of variation (CV)4.6156842
Kurtosis80.492277
Mean0.48241206
Median Absolute Deviation (MAD)0
Skewness8.2696814
Sum96
Variance4.9580224
MonotonicityNot monotonic
2023-12-10T15:25:22.940807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 172
86.4%
2 17
 
8.5%
1 6
 
3.0%
25 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 172
86.4%
1 6
 
3.0%
2 17
 
8.5%
8 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
25 1
 
0.5%
ValueCountFrequency (%)
25 1
 
0.5%
12 1
 
0.5%
11 1
 
0.5%
8 1
 
0.5%
2 17
 
8.5%
1 6
 
3.0%
0 172
86.4%

4.1
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59799
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:23.149374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.9
Q16
median10
Q315
95-th percentile32
Maximum45
Range44
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.6706981
Coefficient of variation (CV)0.68826044
Kurtosis1.9107941
Mean12.59799
Median Absolute Deviation (MAD)4
Skewness1.457296
Sum2507
Variance75.181006
MonotonicityNot monotonic
2023-12-10T15:25:23.383014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 23
 
11.6%
9 14
 
7.0%
10 13
 
6.5%
12 13
 
6.5%
5 13
 
6.5%
7 11
 
5.5%
13 11
 
5.5%
8 10
 
5.0%
4 9
 
4.5%
11 9
 
4.5%
Other values (28) 73
36.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 2
 
1.0%
3 6
 
3.0%
4 9
 
4.5%
5 13
6.5%
6 23
11.6%
7 11
5.5%
8 10
5.0%
9 14
7.0%
10 13
6.5%
ValueCountFrequency (%)
45 1
 
0.5%
43 1
 
0.5%
39 1
 
0.5%
37 1
 
0.5%
36 2
1.0%
35 2
1.0%
33 1
 
0.5%
32 2
1.0%
31 1
 
0.5%
30 3
1.5%

4.2
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.678392
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:23.708858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q314
95-th percentile31.1
Maximum44
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.1288292
Coefficient of variation (CV)0.69605723
Kurtosis3.1542408
Mean11.678392
Median Absolute Deviation (MAD)4
Skewness1.7159477
Sum2324
Variance66.077864
MonotonicityNot monotonic
2023-12-10T15:25:23.922821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 19
 
9.5%
5 18
 
9.0%
8 17
 
8.5%
13 16
 
8.0%
10 14
 
7.0%
4 13
 
6.5%
15 12
 
6.0%
9 12
 
6.0%
11 11
 
5.5%
14 10
 
5.0%
Other values (25) 57
28.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 4
 
2.0%
3 7
 
3.5%
4 13
6.5%
5 18
9.0%
6 4
 
2.0%
7 19
9.5%
8 17
8.5%
9 12
6.0%
10 14
7.0%
ValueCountFrequency (%)
44 1
0.5%
39 1
0.5%
38 2
1.0%
37 1
0.5%
36 2
1.0%
35 1
0.5%
34 1
0.5%
32 1
0.5%
31 2
1.0%
27 1
0.5%

6
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.301508
Minimum0
Maximum61
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:24.190220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median12
Q319
95-th percentile38
Maximum61
Range61
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.546986
Coefficient of variation (CV)0.80739639
Kurtosis3.4824032
Mean14.301508
Median Absolute Deviation (MAD)6
Skewness1.6902597
Sum2846
Variance133.33288
MonotonicityNot monotonic
2023-12-10T15:25:24.409510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 15
 
7.5%
6 12
 
6.0%
2 11
 
5.5%
7 10
 
5.0%
3 10
 
5.0%
13 9
 
4.5%
16 9
 
4.5%
18 9
 
4.5%
8 8
 
4.0%
20 8
 
4.0%
Other values (32) 98
49.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 8
4.0%
2 11
5.5%
3 10
5.0%
4 4
 
2.0%
5 6
3.0%
6 12
6.0%
7 10
5.0%
8 8
4.0%
9 6
3.0%
ValueCountFrequency (%)
61 1
 
0.5%
57 1
 
0.5%
54 1
 
0.5%
53 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
47 1
 
0.5%
44 1
 
0.5%
38 3
1.5%

4.3
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.361809
Minimum2
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:24.662301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q320
95-th percentile35
Maximum56
Range54
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.444164
Coefficient of variation (CV)0.72721783
Kurtosis1.7363857
Mean14.361809
Median Absolute Deviation (MAD)4
Skewness1.4011998
Sum2858
Variance109.08055
MonotonicityNot monotonic
2023-12-10T15:25:24.931153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 19
 
9.5%
10 15
 
7.5%
8 15
 
7.5%
6 14
 
7.0%
9 14
 
7.0%
7 12
 
6.0%
13 9
 
4.5%
4 8
 
4.0%
14 7
 
3.5%
11 7
 
3.5%
Other values (28) 79
39.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 3
 
1.5%
4 8
4.0%
5 19
9.5%
6 14
7.0%
7 12
6.0%
8 15
7.5%
9 14
7.0%
10 15
7.5%
11 7
 
3.5%
ValueCountFrequency (%)
56 1
 
0.5%
55 1
 
0.5%
42 2
1.0%
39 2
1.0%
38 1
 
0.5%
37 1
 
0.5%
36 1
 
0.5%
35 2
1.0%
34 4
2.0%
33 2
1.0%

3.1
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.939698
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:25.154674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q314
95-th percentile34
Maximum51
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.6450323
Coefficient of variation (CV)0.80781205
Kurtosis2.3387189
Mean11.939698
Median Absolute Deviation (MAD)4
Skewness1.6392662
Sum2376
Variance93.026648
MonotonicityNot monotonic
2023-12-10T15:25:25.385755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 21
 
10.6%
6 17
 
8.5%
7 15
 
7.5%
8 15
 
7.5%
9 15
 
7.5%
10 12
 
6.0%
4 10
 
5.0%
11 10
 
5.0%
3 9
 
4.5%
13 8
 
4.0%
Other values (28) 67
33.7%
ValueCountFrequency (%)
1 5
 
2.5%
2 4
 
2.0%
3 9
4.5%
4 10
5.0%
5 21
10.6%
6 17
8.5%
7 15
7.5%
8 15
7.5%
9 15
7.5%
10 12
6.0%
ValueCountFrequency (%)
51 1
 
0.5%
44 1
 
0.5%
41 2
1.0%
40 1
 
0.5%
39 1
 
0.5%
36 1
 
0.5%
34 4
2.0%
33 1
 
0.5%
32 2
1.0%
31 3
1.5%

4.4
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.396985
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:25.586553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q314
95-th percentile34
Maximum63
Range62
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.146811
Coefficient of variation (CV)0.81849021
Kurtosis4.9262235
Mean12.396985
Median Absolute Deviation (MAD)4
Skewness2.0322582
Sum2467
Variance102.95777
MonotonicityNot monotonic
2023-12-10T15:25:25.812293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 20
 
10.1%
9 18
 
9.0%
8 18
 
9.0%
5 16
 
8.0%
7 13
 
6.5%
4 11
 
5.5%
14 9
 
4.5%
12 9
 
4.5%
11 8
 
4.0%
13 8
 
4.0%
Other values (27) 69
34.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 5
 
2.5%
3 7
 
3.5%
4 11
5.5%
5 16
8.0%
6 20
10.1%
7 13
6.5%
8 18
9.0%
9 18
9.0%
10 7
 
3.5%
ValueCountFrequency (%)
63 1
 
0.5%
54 1
 
0.5%
48 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
39 2
1.0%
38 2
1.0%
34 2
1.0%
32 1
 
0.5%
31 3
1.5%

4.5
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.914573
Minimum0
Maximum56
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:26.022015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q315
95-th percentile34
Maximum56
Range56
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.9294507
Coefficient of variation (CV)0.74945622
Kurtosis4.7223843
Mean11.914573
Median Absolute Deviation (MAD)4
Skewness1.9436975
Sum2371
Variance79.73509
MonotonicityNot monotonic
2023-12-10T15:25:26.237620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 20
 
10.1%
6 17
 
8.5%
9 16
 
8.0%
5 14
 
7.0%
15 14
 
7.0%
14 11
 
5.5%
8 11
 
5.5%
12 10
 
5.0%
4 9
 
4.5%
2 9
 
4.5%
Other values (24) 68
34.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 9
4.5%
3 3
 
1.5%
4 9
4.5%
5 14
7.0%
6 17
8.5%
7 20
10.1%
8 11
5.5%
9 16
8.0%
ValueCountFrequency (%)
56 1
 
0.5%
44 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
40 1
 
0.5%
37 1
 
0.5%
35 2
1.0%
34 4
2.0%
28 1
 
0.5%
26 1
 
0.5%

7
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.894472
Minimum0
Maximum70
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:26.447007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median14
Q323
95-th percentile44.2
Maximum70
Range70
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.03617
Coefficient of variation (CV)0.83081433
Kurtosis3.089934
Mean16.894472
Median Absolute Deviation (MAD)8
Skewness1.5858441
Sum3362
Variance197.01406
MonotonicityNot monotonic
2023-12-10T15:25:26.683262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
2 12
 
6.0%
1 10
 
5.0%
17 10
 
5.0%
12 9
 
4.5%
25 9
 
4.5%
4 8
 
4.0%
19 8
 
4.0%
16 7
 
3.5%
11 7
 
3.5%
13 7
 
3.5%
Other values (38) 112
56.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 10
5.0%
2 12
6.0%
3 7
3.5%
4 8
4.0%
5 4
 
2.0%
6 4
 
2.0%
7 7
3.5%
8 6
3.0%
9 7
3.5%
ValueCountFrequency (%)
70 1
0.5%
69 1
0.5%
65 1
0.5%
62 2
1.0%
61 1
0.5%
58 1
0.5%
56 1
0.5%
55 1
0.5%
46 1
0.5%
44 1
0.5%

9
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.678392
Minimum3
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:26.967042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10
Q116
median27
Q340.5
95-th percentile79.5
Maximum147
Range144
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation23.999307
Coefficient of variation (CV)0.71260253
Kurtosis3.7422856
Mean33.678392
Median Absolute Deviation (MAD)11
Skewness1.747984
Sum6702
Variance575.96675
MonotonicityNot monotonic
2023-12-10T15:25:27.211001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 11
 
5.5%
25 10
 
5.0%
23 8
 
4.0%
35 8
 
4.0%
16 8
 
4.0%
14 7
 
3.5%
37 6
 
3.0%
15 6
 
3.0%
18 6
 
3.0%
36 6
 
3.0%
Other values (61) 123
61.8%
ValueCountFrequency (%)
3 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
8 2
 
1.0%
9 3
 
1.5%
10 5
2.5%
11 4
 
2.0%
12 11
5.5%
13 2
 
1.0%
14 7
3.5%
ValueCountFrequency (%)
147 1
0.5%
130 1
0.5%
109 1
0.5%
105 1
0.5%
100 1
0.5%
96 1
0.5%
92 1
0.5%
89 1
0.5%
86 1
0.5%
84 1
0.5%

10
Real number (ℝ)

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.030151
Minimum5
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:27.458894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q117
median29
Q348
95-th percentile104
Maximum235
Range230
Interquartile range (IQR)31

Descriptive statistics

Standard deviation33.853056
Coefficient of variation (CV)0.86735652
Kurtosis9.0525331
Mean39.030151
Median Absolute Deviation (MAD)13
Skewness2.6141933
Sum7767
Variance1146.0294
MonotonicityNot monotonic
2023-12-10T15:25:27.686424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 12
 
6.0%
11 7
 
3.5%
13 7
 
3.5%
37 6
 
3.0%
32 6
 
3.0%
15 6
 
3.0%
26 6
 
3.0%
18 6
 
3.0%
29 6
 
3.0%
12 5
 
2.5%
Other values (65) 132
66.3%
ValueCountFrequency (%)
5 2
 
1.0%
7 1
 
0.5%
9 3
 
1.5%
10 1
 
0.5%
11 7
3.5%
12 5
2.5%
13 7
3.5%
14 3
 
1.5%
15 6
3.0%
16 12
6.0%
ValueCountFrequency (%)
235 1
0.5%
183 1
0.5%
176 1
0.5%
175 1
0.5%
145 1
0.5%
143 1
0.5%
116 1
0.5%
110 1
0.5%
108 1
0.5%
104 2
1.0%

0.2
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52763819
Minimum0
Maximum24
Zeros172
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:27.871229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.3480037
Coefficient of variation (CV)4.450026
Kurtosis62.654462
Mean0.52763819
Median Absolute Deviation (MAD)0
Skewness7.4361481
Sum105
Variance5.5131212
MonotonicityNot monotonic
2023-12-10T15:25:28.034874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 172
86.4%
2 21
 
10.6%
1 2
 
1.0%
24 1
 
0.5%
15 1
 
0.5%
14 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 172
86.4%
1 2
 
1.0%
2 21
 
10.6%
8 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
24 1
 
0.5%
ValueCountFrequency (%)
24 1
 
0.5%
15 1
 
0.5%
14 1
 
0.5%
8 1
 
0.5%
2 21
 
10.6%
1 2
 
1.0%
0 172
86.4%

1
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1658291
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:28.241548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile15
Maximum31
Range30
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.7871501
Coefficient of variation (CV)0.77640006
Kurtosis4.8727315
Mean6.1658291
Median Absolute Deviation (MAD)2
Skewness1.9071639
Sum1227
Variance22.916806
MonotonicityNot monotonic
2023-12-10T15:25:28.423827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3 32
16.1%
2 29
14.6%
4 27
13.6%
5 21
10.6%
6 20
10.1%
8 14
7.0%
1 8
 
4.0%
9 7
 
3.5%
12 7
 
3.5%
14 6
 
3.0%
Other values (12) 28
14.1%
ValueCountFrequency (%)
1 8
 
4.0%
2 29
14.6%
3 32
16.1%
4 27
13.6%
5 21
10.6%
6 20
10.1%
7 5
 
2.5%
8 14
7.0%
9 7
 
3.5%
10 6
 
3.0%
ValueCountFrequency (%)
31 1
 
0.5%
25 1
 
0.5%
24 1
 
0.5%
19 2
 
1.0%
18 1
 
0.5%
17 2
 
1.0%
16 1
 
0.5%
15 4
2.0%
14 6
3.0%
13 2
 
1.0%

2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4371859
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:28.624748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q37.5
95-th percentile16.1
Maximum33
Range32
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.1093916
Coefficient of variation (CV)0.79373063
Kurtosis5.0470908
Mean6.4371859
Median Absolute Deviation (MAD)2
Skewness1.9820731
Sum1281
Variance26.105883
MonotonicityNot monotonic
2023-12-10T15:25:28.830521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 31
15.6%
2 28
14.1%
6 26
13.1%
5 24
12.1%
4 20
10.1%
7 13
6.5%
12 7
 
3.5%
1 7
 
3.5%
10 7
 
3.5%
8 6
 
3.0%
Other values (14) 30
15.1%
ValueCountFrequency (%)
1 7
 
3.5%
2 28
14.1%
3 31
15.6%
4 20
10.1%
5 24
12.1%
6 26
13.1%
7 13
6.5%
8 6
 
3.0%
9 5
 
2.5%
10 7
 
3.5%
ValueCountFrequency (%)
33 1
 
0.5%
26 1
 
0.5%
25 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
20 1
 
0.5%
18 2
 
1.0%
17 2
 
1.0%
16 5
2.5%
15 1
 
0.5%

2.1
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2160804
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:29.064433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile18
Maximum63
Range62
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.0545166
Coefficient of variation (CV)0.97761059
Kurtosis22.47587
Mean7.2160804
Median Absolute Deviation (MAD)2
Skewness3.8506319
Sum1436
Variance49.766205
MonotonicityNot monotonic
2023-12-10T15:25:29.280863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 37
18.6%
4 27
13.6%
6 20
10.1%
2 19
9.5%
5 17
8.5%
8 11
 
5.5%
7 11
 
5.5%
9 10
 
5.0%
11 7
 
3.5%
14 5
 
2.5%
Other values (17) 35
17.6%
ValueCountFrequency (%)
1 5
 
2.5%
2 19
9.5%
3 37
18.6%
4 27
13.6%
5 17
8.5%
6 20
10.1%
7 11
 
5.5%
8 11
 
5.5%
9 10
 
5.0%
10 5
 
2.5%
ValueCountFrequency (%)
63 1
0.5%
37 1
0.5%
36 1
0.5%
35 1
0.5%
25 1
0.5%
24 1
0.5%
21 1
0.5%
20 1
0.5%
19 1
0.5%
18 2
1.0%

2.2
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2562814
Minimum0
Maximum44
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:29.486506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile17
Maximum44
Range44
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.0462155
Coefficient of variation (CV)0.80658385
Kurtosis16.397561
Mean6.2562814
Median Absolute Deviation (MAD)2
Skewness3.1127693
Sum1245
Variance25.464291
MonotonicityNot monotonic
2023-12-10T15:25:29.676311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 31
15.6%
2 28
14.1%
6 28
14.1%
4 24
12.1%
7 21
10.6%
5 17
8.5%
8 11
 
5.5%
11 7
 
3.5%
9 5
 
2.5%
10 5
 
2.5%
Other values (13) 22
11.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 28
14.1%
3 31
15.6%
4 24
12.1%
5 17
8.5%
6 28
14.1%
7 21
10.6%
8 11
 
5.5%
9 5
 
2.5%
ValueCountFrequency (%)
44 1
 
0.5%
24 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
20 1
 
0.5%
18 1
 
0.5%
17 5
2.5%
16 3
1.5%
15 1
 
0.5%
14 2
 
1.0%

3.2
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4673367
Minimum0
Maximum28
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:29.892357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile17.1
Maximum28
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8635615
Coefficient of variation (CV)0.6513114
Kurtosis4.1897939
Mean7.4673367
Median Absolute Deviation (MAD)2
Skewness1.8156448
Sum1486
Variance23.654231
MonotonicityNot monotonic
2023-12-10T15:25:30.114703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6 26
13.1%
5 20
10.1%
3 20
10.1%
4 20
10.1%
9 18
9.0%
7 18
9.0%
8 16
8.0%
10 15
7.5%
2 11
5.5%
11 9
 
4.5%
Other values (16) 26
13.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 11
5.5%
3 20
10.1%
4 20
10.1%
5 20
10.1%
6 26
13.1%
7 18
9.0%
8 16
8.0%
9 18
9.0%
ValueCountFrequency (%)
28 1
 
0.5%
26 1
 
0.5%
25 1
 
0.5%
24 1
 
0.5%
23 2
1.0%
22 2
1.0%
20 1
 
0.5%
18 1
 
0.5%
17 3
1.5%
16 1
 
0.5%

2.3
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.879397
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:30.455781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile20.1
Maximum73
Range72
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.4417688
Coefficient of variation (CV)1.1982857
Kurtosis18.968802
Mean7.879397
Median Absolute Deviation (MAD)2
Skewness3.8665306
Sum1568
Variance89.146998
MonotonicityNot monotonic
2023-12-10T15:25:30.718498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 31
15.6%
2 30
15.1%
3 27
13.6%
5 21
10.6%
6 14
 
7.0%
8 11
 
5.5%
9 8
 
4.0%
7 7
 
3.5%
11 6
 
3.0%
15 6
 
3.0%
Other values (19) 38
19.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 30
15.1%
3 27
13.6%
4 31
15.6%
5 21
10.6%
6 14
7.0%
7 7
 
3.5%
8 11
 
5.5%
9 8
 
4.0%
10 2
 
1.0%
ValueCountFrequency (%)
73 1
0.5%
59 1
0.5%
53 1
0.5%
49 1
0.5%
34 1
0.5%
33 2
1.0%
30 1
0.5%
24 1
0.5%
21 1
0.5%
20 1
0.5%

1.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9497487
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:30.977075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q38.5
95-th percentile19.1
Maximum41
Range40
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.6406681
Coefficient of variation (CV)0.95552635
Kurtosis7.1387169
Mean6.9497487
Median Absolute Deviation (MAD)2
Skewness2.3567906
Sum1383
Variance44.098472
MonotonicityNot monotonic
2023-12-10T15:25:31.189691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 35
17.6%
2 28
14.1%
4 26
13.1%
5 17
8.5%
6 15
 
7.5%
1 11
 
5.5%
7 10
 
5.0%
8 7
 
3.5%
11 6
 
3.0%
16 5
 
2.5%
Other values (16) 39
19.6%
ValueCountFrequency (%)
1 11
 
5.5%
2 28
14.1%
3 35
17.6%
4 26
13.1%
5 17
8.5%
6 15
7.5%
7 10
 
5.0%
8 7
 
3.5%
9 5
 
2.5%
10 4
 
2.0%
ValueCountFrequency (%)
41 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
27 1
 
0.5%
24 2
1.0%
23 1
 
0.5%
22 1
 
0.5%
20 2
1.0%
19 2
1.0%
18 4
2.0%

2.4
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9346734
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:31.932449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile19
Maximum95
Range94
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.130998
Coefficient of variation (CV)1.2768009
Kurtosis33.140159
Mean7.9346734
Median Absolute Deviation (MAD)2
Skewness4.9714217
Sum1579
Variance102.63713
MonotonicityNot monotonic
2023-12-10T15:25:32.133646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 40
20.1%
4 25
12.6%
6 21
10.6%
2 21
10.6%
5 15
 
7.5%
10 10
 
5.0%
9 8
 
4.0%
7 8
 
4.0%
1 6
 
3.0%
8 6
 
3.0%
Other values (17) 39
19.6%
ValueCountFrequency (%)
1 6
 
3.0%
2 21
10.6%
3 40
20.1%
4 25
12.6%
5 15
 
7.5%
6 21
10.6%
7 8
 
4.0%
8 6
 
3.0%
9 8
 
4.0%
10 10
 
5.0%
ValueCountFrequency (%)
95 1
0.5%
57 1
0.5%
55 1
0.5%
51 1
0.5%
41 1
0.5%
25 2
1.0%
22 1
0.5%
21 1
0.5%
19 2
1.0%
18 2
1.0%

2.5
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2160804
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:32.324976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile17
Maximum67
Range66
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.1441537
Coefficient of variation (CV)0.99003244
Kurtosis28.423576
Mean7.2160804
Median Absolute Deviation (MAD)2
Skewness4.4213099
Sum1436
Variance51.038932
MonotonicityNot monotonic
2023-12-10T15:25:32.514848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 36
18.1%
4 22
11.1%
5 21
10.6%
6 20
10.1%
7 19
9.5%
2 18
9.0%
8 12
 
6.0%
9 11
 
5.5%
16 7
 
3.5%
11 6
 
3.0%
Other values (14) 27
13.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 18
9.0%
3 36
18.1%
4 22
11.1%
5 21
10.6%
6 20
10.1%
7 19
9.5%
8 12
 
6.0%
9 11
 
5.5%
10 5
 
2.5%
ValueCountFrequency (%)
67 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
36 1
 
0.5%
28 1
 
0.5%
20 1
 
0.5%
19 2
 
1.0%
18 1
 
0.5%
17 2
 
1.0%
16 7
3.5%

3.3
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1105528
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:32.708821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median8
Q311
95-th percentile21.4
Maximum32
Range31
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.9652054
Coefficient of variation (CV)0.6547578
Kurtosis3.5390323
Mean9.1105528
Median Absolute Deviation (MAD)3
Skewness1.728819
Sum1813
Variance35.583676
MonotonicityNot monotonic
2023-12-10T15:25:32.897007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 19
9.5%
8 19
9.5%
5 18
9.0%
10 17
 
8.5%
9 16
 
8.0%
6 16
 
8.0%
7 14
 
7.0%
3 14
 
7.0%
11 14
 
7.0%
12 9
 
4.5%
Other values (15) 43
21.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 5
 
2.5%
3 14
7.0%
4 19
9.5%
5 18
9.0%
6 16
8.0%
7 14
7.0%
8 19
9.5%
9 16
8.0%
10 17
8.5%
ValueCountFrequency (%)
32 2
1.0%
30 1
 
0.5%
28 3
1.5%
27 1
 
0.5%
26 1
 
0.5%
25 2
1.0%
21 1
 
0.5%
20 3
1.5%
19 2
1.0%
18 2
1.0%

0.3
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72361809
Minimum0
Maximum23
Zeros155
Zeros (%)77.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:33.078460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum23
Range23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.4657236
Coefficient of variation (CV)3.407493
Kurtosis47.453326
Mean0.72361809
Median Absolute Deviation (MAD)0
Skewness6.4604205
Sum144
Variance6.0797929
MonotonicityNot monotonic
2023-12-10T15:25:33.257475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 155
77.9%
2 38
 
19.1%
1 2
 
1.0%
23 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
0 155
77.9%
1 2
 
1.0%
2 38
 
19.1%
12 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
23 1
 
0.5%
ValueCountFrequency (%)
23 1
 
0.5%
16 1
 
0.5%
15 1
 
0.5%
12 1
 
0.5%
2 38
 
19.1%
1 2
 
1.0%
0 155
77.9%

12
Real number (ℝ)

Distinct92
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.020101
Minimum7
Maximum388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:33.462465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q122.5
median37
Q368
95-th percentile158.8
Maximum388
Range381
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation60.347726
Coefficient of variation (CV)1.0401176
Kurtosis9.991302
Mean58.020101
Median Absolute Deviation (MAD)17
Skewness2.8417624
Sum11546
Variance3641.8481
MonotonicityNot monotonic
2023-12-10T15:25:33.815976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 7
 
3.5%
18 7
 
3.5%
43 7
 
3.5%
19 7
 
3.5%
15 6
 
3.0%
29 5
 
2.5%
28 5
 
2.5%
35 5
 
2.5%
20 5
 
2.5%
40 5
 
2.5%
Other values (82) 140
70.4%
ValueCountFrequency (%)
7 1
 
0.5%
10 2
 
1.0%
11 2
 
1.0%
12 4
2.0%
13 3
1.5%
14 2
 
1.0%
15 6
3.0%
16 3
1.5%
18 7
3.5%
19 7
3.5%
ValueCountFrequency (%)
388 1
0.5%
349 1
0.5%
344 1
0.5%
284 1
0.5%
265 1
0.5%
242 1
0.5%
205 1
0.5%
187 1
0.5%
176 1
0.5%
166 1
0.5%

12.1
Real number (ℝ)

Distinct101
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.773869
Minimum8
Maximum538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:34.088464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14.9
Q123
median39
Q372
95-th percentile247.6
Maximum538
Range530
Interquartile range (IQR)49

Descriptive statistics

Standard deviation89.259208
Coefficient of variation (CV)1.2611888
Kurtosis11.902782
Mean70.773869
Median Absolute Deviation (MAD)19
Skewness3.1998671
Sum14084
Variance7967.2062
MonotonicityNot monotonic
2023-12-10T15:25:34.350333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 7
 
3.5%
39 7
 
3.5%
22 6
 
3.0%
32 5
 
2.5%
40 5
 
2.5%
19 5
 
2.5%
18 5
 
2.5%
16 5
 
2.5%
46 5
 
2.5%
47 4
 
2.0%
Other values (91) 145
72.9%
ValueCountFrequency (%)
8 1
 
0.5%
10 1
 
0.5%
11 1
 
0.5%
12 2
 
1.0%
13 1
 
0.5%
14 4
2.0%
15 4
2.0%
16 5
2.5%
17 2
 
1.0%
18 5
2.5%
ValueCountFrequency (%)
538 1
0.5%
532 1
0.5%
506 1
0.5%
484 1
0.5%
403 1
0.5%
287 1
0.5%
270 1
0.5%
269 1
0.5%
267 1
0.5%
262 1
0.5%

2.6
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.904523
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:34.603831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q313
95-th percentile46
Maximum103
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.133611
Coefficient of variation (CV)1.2712489
Kurtosis10.524183
Mean11.904523
Median Absolute Deviation (MAD)3
Skewness2.9906288
Sum2369
Variance229.02619
MonotonicityNot monotonic
2023-12-10T15:25:34.822249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 29
14.6%
4 22
 
11.1%
5 22
 
11.1%
6 18
 
9.0%
2 13
 
6.5%
7 12
 
6.0%
8 11
 
5.5%
10 6
 
3.0%
13 6
 
3.0%
9 5
 
2.5%
Other values (30) 55
27.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 13
6.5%
3 29
14.6%
4 22
11.1%
5 22
11.1%
6 18
9.0%
7 12
6.0%
8 11
 
5.5%
9 5
 
2.5%
10 6
 
3.0%
ValueCountFrequency (%)
103 1
0.5%
73 1
0.5%
71 1
0.5%
70 1
0.5%
69 1
0.5%
64 1
0.5%
51 1
0.5%
49 1
0.5%
48 1
0.5%
46 2
1.0%

2.7
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.341709
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:35.057055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q315
95-th percentile30.1
Maximum95
Range94
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.30428
Coefficient of variation (CV)1.1730402
Kurtosis15.509498
Mean11.341709
Median Absolute Deviation (MAD)3
Skewness3.4790038
Sum2257
Variance177.00386
MonotonicityNot monotonic
2023-12-10T15:25:35.282792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 22
11.1%
3 21
 
10.6%
4 19
 
9.5%
6 19
 
9.5%
8 17
 
8.5%
7 16
 
8.0%
2 14
 
7.0%
15 7
 
3.5%
17 5
 
2.5%
9 5
 
2.5%
Other values (28) 54
27.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 14
7.0%
3 21
10.6%
4 19
9.5%
5 22
11.1%
6 19
9.5%
7 16
8.0%
8 17
8.5%
9 5
 
2.5%
10 3
 
1.5%
ValueCountFrequency (%)
95 1
0.5%
82 1
0.5%
81 1
0.5%
58 1
0.5%
56 1
0.5%
54 1
0.5%
36 1
0.5%
32 2
1.0%
31 1
0.5%
30 2
1.0%

2.8
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.879397
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:35.522695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q313.5
95-th percentile39.1
Maximum108
Range107
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation17.015309
Coefficient of variation (CV)1.3211262
Kurtosis15.034753
Mean12.879397
Median Absolute Deviation (MAD)4
Skewness3.5658434
Sum2563
Variance289.52073
MonotonicityNot monotonic
2023-12-10T15:25:35.869946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
3 23
 
11.6%
5 22
 
11.1%
4 19
 
9.5%
7 19
 
9.5%
6 13
 
6.5%
2 11
 
5.5%
8 10
 
5.0%
9 9
 
4.5%
11 8
 
4.0%
10 7
 
3.5%
Other values (35) 58
29.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
5.5%
3 23
11.6%
4 19
9.5%
5 22
11.1%
6 13
6.5%
7 19
9.5%
8 10
5.0%
9 9
 
4.5%
10 7
 
3.5%
ValueCountFrequency (%)
108 1
0.5%
107 1
0.5%
103 1
0.5%
87 1
0.5%
81 1
0.5%
63 1
0.5%
46 1
0.5%
45 1
0.5%
41 1
0.5%
40 1
0.5%

2.9
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.663317
Minimum2
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:36.208093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q312.5
95-th percentile28.1
Maximum71
Range69
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation11.432817
Coefficient of variation (CV)1.0721633
Kurtosis11.131143
Mean10.663317
Median Absolute Deviation (MAD)3
Skewness3.068366
Sum2122
Variance130.7093
MonotonicityNot monotonic
2023-12-10T15:25:36.465428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
4 28
14.1%
7 20
10.1%
8 19
 
9.5%
6 18
 
9.0%
3 16
 
8.0%
5 16
 
8.0%
2 12
 
6.0%
9 9
 
4.5%
13 7
 
3.5%
10 5
 
2.5%
Other values (23) 49
24.6%
ValueCountFrequency (%)
2 12
6.0%
3 16
8.0%
4 28
14.1%
5 16
8.0%
6 18
9.0%
7 20
10.1%
8 19
9.5%
9 9
 
4.5%
10 5
 
2.5%
11 3
 
1.5%
ValueCountFrequency (%)
71 1
0.5%
66 1
0.5%
65 1
0.5%
59 1
0.5%
55 2
1.0%
40 1
0.5%
33 1
0.5%
31 1
0.5%
29 1
0.5%
28 1
0.5%

3.4
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.974874
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:36.727938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q313
95-th percentile28.1
Maximum38
Range37
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.3542657
Coefficient of variation (CV)0.67010022
Kurtosis1.8267527
Mean10.974874
Median Absolute Deviation (MAD)3
Skewness1.4806529
Sum2184
Variance54.085224
MonotonicityNot monotonic
2023-12-10T15:25:37.033267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6 22
 
11.1%
8 17
 
8.5%
9 16
 
8.0%
4 15
 
7.5%
10 15
 
7.5%
11 14
 
7.0%
7 13
 
6.5%
5 12
 
6.0%
3 11
 
5.5%
12 8
 
4.0%
Other values (22) 56
28.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 11
5.5%
4 15
7.5%
5 12
6.0%
6 22
11.1%
7 13
6.5%
8 17
8.5%
9 16
8.0%
10 15
7.5%
ValueCountFrequency (%)
38 1
 
0.5%
34 1
 
0.5%
32 3
1.5%
31 2
1.0%
30 2
1.0%
29 1
 
0.5%
28 2
1.0%
27 2
1.0%
25 1
 
0.5%
23 2
1.0%

2.10
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.944724
Minimum1
Maximum202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:37.278036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q314
95-th percentile69.4
Maximum202
Range201
Interquartile range (IQR)10

Descriptive statistics

Standard deviation29.020403
Coefficient of variation (CV)1.7126513
Kurtosis14.906276
Mean16.944724
Median Absolute Deviation (MAD)4
Skewness3.6261866
Sum3372
Variance842.1838
MonotonicityNot monotonic
2023-12-10T15:25:37.528220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3 27
13.6%
4 23
 
11.6%
5 18
 
9.0%
6 18
 
9.0%
7 15
 
7.5%
8 11
 
5.5%
2 10
 
5.0%
10 7
 
3.5%
12 7
 
3.5%
14 5
 
2.5%
Other values (37) 58
29.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 10
 
5.0%
3 27
13.6%
4 23
11.6%
5 18
9.0%
6 18
9.0%
7 15
7.5%
8 11
5.5%
9 3
 
1.5%
10 7
 
3.5%
ValueCountFrequency (%)
202 1
0.5%
154 1
0.5%
145 1
0.5%
144 1
0.5%
132 1
0.5%
110 1
0.5%
97 1
0.5%
93 1
0.5%
74 1
0.5%
73 1
0.5%

2.11
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.562814
Minimum1
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:37.748715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q314.5
95-th percentile41.1
Maximum117
Range116
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation17.57796
Coefficient of variation (CV)1.3992056
Kurtosis18.142624
Mean12.562814
Median Absolute Deviation (MAD)3
Skewness3.8349323
Sum2500
Variance308.98467
MonotonicityNot monotonic
2023-12-10T15:25:37.974400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3 28
14.1%
4 23
 
11.6%
5 21
 
10.6%
6 17
 
8.5%
2 14
 
7.0%
7 11
 
5.5%
8 8
 
4.0%
19 6
 
3.0%
10 5
 
2.5%
13 5
 
2.5%
Other values (32) 61
30.7%
ValueCountFrequency (%)
1 3
 
1.5%
2 14
7.0%
3 28
14.1%
4 23
11.6%
5 21
10.6%
6 17
8.5%
7 11
 
5.5%
8 8
 
4.0%
9 4
 
2.0%
10 5
 
2.5%
ValueCountFrequency (%)
117 1
0.5%
116 2
1.0%
81 1
0.5%
62 1
0.5%
56 1
0.5%
53 1
0.5%
50 1
0.5%
43 1
0.5%
42 1
0.5%
41 1
0.5%

2.12
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.854271
Minimum1
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:38.245260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q315
95-th percentile50.2
Maximum188
Range187
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.338187
Coefficient of variation (CV)1.6384639
Kurtosis22.432568
Mean14.854271
Median Absolute Deviation (MAD)4
Skewness4.3324503
Sum2956
Variance592.34734
MonotonicityNot monotonic
2023-12-10T15:25:38.516779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 29
14.6%
4 23
 
11.6%
5 17
 
8.5%
7 17
 
8.5%
2 12
 
6.0%
6 11
 
5.5%
8 8
 
4.0%
10 7
 
3.5%
13 6
 
3.0%
12 6
 
3.0%
Other values (33) 63
31.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 12
6.0%
3 29
14.6%
4 23
11.6%
5 17
8.5%
6 11
 
5.5%
7 17
8.5%
8 8
 
4.0%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
188 1
0.5%
148 1
0.5%
146 1
0.5%
116 1
0.5%
96 1
0.5%
95 1
0.5%
62 1
0.5%
56 1
0.5%
53 1
0.5%
52 1
0.5%

0.4
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.080402
Minimum0
Maximum26
Zeros116
Zeros (%)58.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:38.718500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.6157193
Coefficient of variation (CV)2.4210612
Kurtosis50.481263
Mean1.080402
Median Absolute Deviation (MAD)0
Skewness6.4211906
Sum215
Variance6.8419877
MonotonicityNot monotonic
2023-12-10T15:25:38.985271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 116
58.3%
2 63
31.7%
1 15
 
7.5%
15 2
 
1.0%
26 1
 
0.5%
13 1
 
0.5%
5 1
 
0.5%
ValueCountFrequency (%)
0 116
58.3%
1 15
 
7.5%
2 63
31.7%
5 1
 
0.5%
13 1
 
0.5%
15 2
 
1.0%
26 1
 
0.5%
ValueCountFrequency (%)
26 1
 
0.5%
15 2
 
1.0%
13 1
 
0.5%
5 1
 
0.5%
2 63
31.7%
1 15
 
7.5%
0 116
58.3%

3.5
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.929648
Minimum2
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:39.149747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q313
95-th percentile39
Maximum116
Range114
Interquartile range (IQR)8

Descriptive statistics

Standard deviation16.251964
Coefficient of variation (CV)1.2569533
Kurtosis15.078902
Mean12.929648
Median Absolute Deviation (MAD)4
Skewness3.5019472
Sum2573
Variance264.12634
MonotonicityNot monotonic
2023-12-10T15:25:39.372998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
4 25
12.6%
8 20
 
10.1%
3 19
 
9.5%
7 17
 
8.5%
5 16
 
8.0%
6 15
 
7.5%
9 14
 
7.0%
10 9
 
4.5%
11 7
 
3.5%
2 5
 
2.5%
Other values (27) 52
26.1%
ValueCountFrequency (%)
2 5
 
2.5%
3 19
9.5%
4 25
12.6%
5 16
8.0%
6 15
7.5%
7 17
8.5%
8 20
10.1%
9 14
7.0%
10 9
 
4.5%
11 7
 
3.5%
ValueCountFrequency (%)
116 1
 
0.5%
96 1
 
0.5%
95 1
 
0.5%
76 1
 
0.5%
67 1
 
0.5%
58 1
 
0.5%
48 2
1.0%
47 1
 
0.5%
39 4
2.0%
37 1
 
0.5%

4.6
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.613065
Minimum2
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:39.574438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316
95-th percentile34.1
Maximum60
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.72532
Coefficient of variation (CV)0.71441073
Kurtosis3.1993278
Mean13.613065
Median Absolute Deviation (MAD)4
Skewness1.6990635
Sum2709
Variance94.581849
MonotonicityNot monotonic
2023-12-10T15:25:39.781450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 14
 
7.0%
14 14
 
7.0%
4 14
 
7.0%
10 14
 
7.0%
6 13
 
6.5%
8 13
 
6.5%
13 12
 
6.0%
5 12
 
6.0%
12 11
 
5.5%
11 11
 
5.5%
Other values (25) 71
35.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 14
7.0%
5 12
6.0%
6 13
6.5%
7 14
7.0%
8 13
6.5%
9 11
5.5%
10 14
7.0%
11 11
5.5%
ValueCountFrequency (%)
60 1
 
0.5%
49 1
 
0.5%
40 1
 
0.5%
39 2
1.0%
38 1
 
0.5%
37 1
 
0.5%
35 3
1.5%
34 3
1.5%
33 1
 
0.5%
32 3
1.5%

32
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.35176
Minimum8
Maximum339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:40.071364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile29
Q154
median86
Q3123.5
95-th percentile257.9
Maximum339
Range331
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation66.871782
Coefficient of variation (CV)0.65335254
Kurtosis1.9909198
Mean102.35176
Median Absolute Deviation (MAD)34
Skewness1.4282248
Sum20368
Variance4471.8352
MonotonicityNot monotonic
2023-12-10T15:25:40.313643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 5
 
2.5%
49 4
 
2.0%
62 4
 
2.0%
77 4
 
2.0%
53 4
 
2.0%
67 3
 
1.5%
85 3
 
1.5%
40 3
 
1.5%
121 3
 
1.5%
119 3
 
1.5%
Other values (117) 163
81.9%
ValueCountFrequency (%)
8 1
0.5%
9 1
0.5%
10 1
0.5%
21 1
0.5%
22 1
0.5%
23 1
0.5%
27 2
1.0%
28 1
0.5%
29 2
1.0%
30 1
0.5%
ValueCountFrequency (%)
339 1
0.5%
327 1
0.5%
311 1
0.5%
306 1
0.5%
301 1
0.5%
293 1
0.5%
277 1
0.5%
268 1
0.5%
266 2
1.0%
257 1
0.5%

34
Real number (ℝ)

Distinct130
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.01508
Minimum10
Maximum571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:40.604609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile33.9
Q158.5
median92
Q3137
95-th percentile275.4
Maximum571
Range561
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation85.73376
Coefficient of variation (CV)0.73267277
Kurtosis6.9599692
Mean117.01508
Median Absolute Deviation (MAD)38
Skewness2.1444793
Sum23286
Variance7350.2775
MonotonicityNot monotonic
2023-12-10T15:25:41.341237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128 5
 
2.5%
78 4
 
2.0%
44 4
 
2.0%
62 4
 
2.0%
74 3
 
1.5%
134 3
 
1.5%
89 3
 
1.5%
91 3
 
1.5%
53 3
 
1.5%
41 3
 
1.5%
Other values (120) 164
82.4%
ValueCountFrequency (%)
10 1
0.5%
12 1
0.5%
13 1
0.5%
22 1
0.5%
29 2
1.0%
30 1
0.5%
32 2
1.0%
33 1
0.5%
34 1
0.5%
36 2
1.0%
ValueCountFrequency (%)
571 1
0.5%
562 1
0.5%
367 1
0.5%
353 1
0.5%
349 1
0.5%
314 1
0.5%
301 1
0.5%
289 2
1.0%
279 1
0.5%
275 1
0.5%

5
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.653266
Minimum2
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:41.639583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median15
Q323
95-th percentile44.1
Maximum63
Range61
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.453363
Coefficient of variation (CV)0.66762369
Kurtosis1.0743046
Mean18.653266
Median Absolute Deviation (MAD)6
Skewness1.2543612
Sum3712
Variance155.08624
MonotonicityNot monotonic
2023-12-10T15:25:41.897324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 14
 
7.0%
14 13
 
6.5%
12 13
 
6.5%
9 11
 
5.5%
17 8
 
4.0%
16 8
 
4.0%
7 8
 
4.0%
6 8
 
4.0%
11 7
 
3.5%
20 7
 
3.5%
Other values (40) 102
51.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 1
 
0.5%
5 6
3.0%
6 8
4.0%
7 8
4.0%
8 14
7.0%
9 11
5.5%
10 6
3.0%
11 7
3.5%
ValueCountFrequency (%)
63 1
0.5%
58 1
0.5%
56 1
0.5%
54 1
0.5%
51 1
0.5%
48 1
0.5%
47 1
0.5%
46 2
1.0%
45 1
0.5%
44 2
1.0%

5.1
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.040201
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:42.177221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median16
Q323
95-th percentile46
Maximum76
Range75
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.076635
Coefficient of variation (CV)0.68679079
Kurtosis2.7879304
Mean19.040201
Median Absolute Deviation (MAD)6
Skewness1.5581126
Sum3789
Variance170.99838
MonotonicityNot monotonic
2023-12-10T15:25:42.449041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11 14
 
7.0%
8 13
 
6.5%
14 11
 
5.5%
6 9
 
4.5%
16 8
 
4.0%
19 8
 
4.0%
23 8
 
4.0%
22 8
 
4.0%
21 8
 
4.0%
15 8
 
4.0%
Other values (39) 104
52.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 2
 
1.0%
5 6
3.0%
6 9
4.5%
7 5
 
2.5%
8 13
6.5%
9 6
3.0%
10 7
3.5%
ValueCountFrequency (%)
76 1
 
0.5%
68 1
 
0.5%
60 1
 
0.5%
55 1
 
0.5%
54 2
1.0%
53 1
 
0.5%
50 1
 
0.5%
47 1
 
0.5%
46 2
1.0%
45 3
1.5%

6.1
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.060302
Minimum2
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:42.686584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.9
Q110
median17
Q326
95-th percentile51.3
Maximum114
Range112
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16.297623
Coefficient of variation (CV)0.77385515
Kurtosis8.9064109
Mean21.060302
Median Absolute Deviation (MAD)7
Skewness2.3977152
Sum4191
Variance265.61251
MonotonicityNot monotonic
2023-12-10T15:25:42.921164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
15 10
 
5.0%
10 10
 
5.0%
12 9
 
4.5%
14 8
 
4.0%
6 8
 
4.0%
19 7
 
3.5%
13 7
 
3.5%
21 7
 
3.5%
24 7
 
3.5%
Other values (42) 112
56.3%
ValueCountFrequency (%)
2 3
 
1.5%
4 1
 
0.5%
5 6
3.0%
6 8
4.0%
7 5
 
2.5%
8 7
3.5%
9 14
7.0%
10 10
5.0%
11 5
 
2.5%
12 9
4.5%
ValueCountFrequency (%)
114 1
0.5%
109 1
0.5%
70 1
0.5%
66 1
0.5%
61 1
0.5%
58 1
0.5%
56 2
1.0%
54 2
1.0%
51 1
0.5%
50 2
1.0%

6.2
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.487437
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:43.226942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median16
Q323
95-th percentile49.4
Maximum126
Range125
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.144376
Coefficient of variation (CV)0.77713532
Kurtosis14.592241
Mean19.487437
Median Absolute Deviation (MAD)6
Skewness3.0039969
Sum3878
Variance229.35211
MonotonicityNot monotonic
2023-12-10T15:25:43.502330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
20 13
 
6.5%
12 12
 
6.0%
10 11
 
5.5%
11 11
 
5.5%
7 9
 
4.5%
15 9
 
4.5%
16 8
 
4.0%
8 8
 
4.0%
14 8
 
4.0%
23 8
 
4.0%
Other values (37) 102
51.3%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
4 2
 
1.0%
5 6
3.0%
6 6
3.0%
7 9
4.5%
8 8
4.0%
9 6
3.0%
10 11
5.5%
11 11
5.5%
ValueCountFrequency (%)
126 1
 
0.5%
93 1
 
0.5%
60 1
 
0.5%
58 3
1.5%
56 1
 
0.5%
55 1
 
0.5%
54 1
 
0.5%
53 1
 
0.5%
49 2
1.0%
48 1
 
0.5%

9.1
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.633166
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:43.767645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q113
median20
Q330
95-th percentile59.1
Maximum94
Range93
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.042463
Coefficient of variation (CV)0.72112486
Kurtosis4.0154791
Mean23.633166
Median Absolute Deviation (MAD)9
Skewness1.8130914
Sum4703
Variance290.44556
MonotonicityNot monotonic
2023-12-10T15:25:43.993632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 10
 
5.0%
15 10
 
5.0%
8 8
 
4.0%
21 7
 
3.5%
10 7
 
3.5%
30 7
 
3.5%
28 7
 
3.5%
4 7
 
3.5%
20 7
 
3.5%
22 6
 
3.0%
Other values (45) 123
61.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%
4 7
3.5%
5 3
 
1.5%
6 2
 
1.0%
7 3
 
1.5%
8 8
4.0%
9 5
2.5%
10 7
3.5%
ValueCountFrequency (%)
94 1
0.5%
88 1
0.5%
83 2
1.0%
79 1
0.5%
77 1
0.5%
76 1
0.5%
74 1
0.5%
67 1
0.5%
60 1
0.5%
59 2
1.0%

5.2
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.708543
Minimum2
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:44.259845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q110
median16
Q327.5
95-th percentile59
Maximum104
Range102
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation16.974297
Coefficient of variation (CV)0.78191783
Kurtosis4.5230102
Mean21.708543
Median Absolute Deviation (MAD)7
Skewness1.9050559
Sum4320
Variance288.12674
MonotonicityNot monotonic
2023-12-10T15:25:44.501059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 13
 
6.5%
12 12
 
6.0%
16 11
 
5.5%
9 10
 
5.0%
14 9
 
4.5%
11 8
 
4.0%
15 8
 
4.0%
6 8
 
4.0%
10 8
 
4.0%
7 7
 
3.5%
Other values (44) 105
52.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
5 3
 
1.5%
6 8
4.0%
7 7
3.5%
8 13
6.5%
9 10
5.0%
10 8
4.0%
11 8
4.0%
12 12
6.0%
ValueCountFrequency (%)
104 1
 
0.5%
96 1
 
0.5%
80 1
 
0.5%
66 3
1.5%
64 1
 
0.5%
61 1
 
0.5%
60 1
 
0.5%
59 2
1.0%
52 1
 
0.5%
51 1
 
0.5%

0.5
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5326633
Minimum0
Maximum31
Zeros87
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:44.707341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q32
95-th percentile3
Maximum31
Range31
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9503789
Coefficient of variation (CV)1.9250013
Kurtosis55.478687
Mean1.5326633
Median Absolute Deviation (MAD)1
Skewness6.5454591
Sum305
Variance8.7047358
MonotonicityNot monotonic
2023-12-10T15:25:44.871555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 96
48.2%
0 87
43.7%
3 5
 
2.5%
1 4
 
2.0%
4 2
 
1.0%
31 1
 
0.5%
14 1
 
0.5%
13 1
 
0.5%
12 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
0 87
43.7%
1 4
 
2.0%
2 96
48.2%
3 5
 
2.5%
4 2
 
1.0%
12 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
16 1
 
0.5%
31 1
 
0.5%
ValueCountFrequency (%)
31 1
 
0.5%
16 1
 
0.5%
14 1
 
0.5%
13 1
 
0.5%
12 1
 
0.5%
4 2
 
1.0%
3 5
 
2.5%
2 96
48.2%
1 4
 
2.0%
0 87
43.7%

5.3
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.994975
Minimum2
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:45.089102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median15
Q326
95-th percentile52.1
Maximum79
Range77
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.14759
Coefficient of variation (CV)0.75756982
Kurtosis1.5682058
Mean19.994975
Median Absolute Deviation (MAD)7
Skewness1.4074577
Sum3979
Variance229.44947
MonotonicityNot monotonic
2023-12-10T15:25:45.353260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
6.0%
12 10
 
5.0%
8 10
 
5.0%
14 9
 
4.5%
11 9
 
4.5%
9 9
 
4.5%
15 9
 
4.5%
10 8
 
4.0%
18 8
 
4.0%
16 8
 
4.0%
Other values (42) 107
53.8%
ValueCountFrequency (%)
2 3
 
1.5%
3 1
 
0.5%
4 5
2.5%
5 7
3.5%
6 6
3.0%
7 12
6.0%
8 10
5.0%
9 9
4.5%
10 8
4.0%
11 9
4.5%
ValueCountFrequency (%)
79 1
 
0.5%
69 1
 
0.5%
63 2
1.0%
61 2
1.0%
55 1
 
0.5%
53 3
1.5%
52 2
1.0%
51 1
 
0.5%
50 1
 
0.5%
48 3
1.5%

6.3
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.366834
Minimum2
Maximum306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:45.604850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q110
median17
Q332
95-th percentile59
Maximum306
Range304
Interquartile range (IQR)22

Descriptive statistics

Standard deviation30.568207
Coefficient of variation (CV)1.2545005
Kurtosis50.853605
Mean24.366834
Median Absolute Deviation (MAD)8
Skewness6.2559637
Sum4849
Variance934.41526
MonotonicityNot monotonic
2023-12-10T15:25:45.874539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 19
 
9.5%
12 11
 
5.5%
8 11
 
5.5%
10 9
 
4.5%
14 8
 
4.0%
19 8
 
4.0%
6 7
 
3.5%
20 7
 
3.5%
32 6
 
3.0%
16 6
 
3.0%
Other values (47) 107
53.8%
ValueCountFrequency (%)
2 3
 
1.5%
4 3
 
1.5%
5 2
 
1.0%
6 7
 
3.5%
7 4
 
2.0%
8 11
5.5%
9 19
9.5%
10 9
4.5%
11 5
 
2.5%
12 11
5.5%
ValueCountFrequency (%)
306 1
0.5%
252 1
0.5%
91 1
0.5%
83 1
0.5%
75 1
0.5%
70 1
0.5%
65 1
0.5%
64 1
0.5%
61 1
0.5%
59 2
1.0%

7.1
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.41206
Minimum2
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:46.139066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.9
Q111
median18
Q325.5
95-th percentile53.1
Maximum164
Range162
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation19.179141
Coefficient of variation (CV)0.85575091
Kurtosis24.998553
Mean22.41206
Median Absolute Deviation (MAD)7
Skewness4.0732174
Sum4460
Variance367.83945
MonotonicityNot monotonic
2023-12-10T15:25:46.379330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 13
 
6.5%
23 11
 
5.5%
22 10
 
5.0%
9 10
 
5.0%
14 9
 
4.5%
17 8
 
4.0%
15 7
 
3.5%
18 7
 
3.5%
12 7
 
3.5%
8 7
 
3.5%
Other values (42) 110
55.3%
ValueCountFrequency (%)
2 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 4
 
2.0%
7 6
3.0%
8 7
3.5%
9 10
5.0%
10 6
3.0%
11 13
6.5%
ValueCountFrequency (%)
164 1
0.5%
154 1
0.5%
69 1
0.5%
65 1
0.5%
63 1
0.5%
62 1
0.5%
59 1
0.5%
57 1
0.5%
55 1
0.5%
54 1
0.5%

11
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.070352
Minimum2
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:46.661743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.9
Q115
median25
Q337
95-th percentile68.3
Maximum108
Range106
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20.406601
Coefficient of variation (CV)0.70197297
Kurtosis3.6956657
Mean29.070352
Median Absolute Deviation (MAD)11
Skewness1.7474892
Sum5785
Variance416.42937
MonotonicityNot monotonic
2023-12-10T15:25:46.913675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 9
 
4.5%
30 8
 
4.0%
27 7
 
3.5%
18 7
 
3.5%
20 7
 
3.5%
39 7
 
3.5%
25 7
 
3.5%
13 6
 
3.0%
16 6
 
3.0%
17 5
 
2.5%
Other values (51) 130
65.3%
ValueCountFrequency (%)
2 3
 
1.5%
4 2
 
1.0%
5 2
 
1.0%
6 3
 
1.5%
7 4
2.0%
8 1
 
0.5%
9 3
 
1.5%
10 4
2.0%
11 5
2.5%
12 9
4.5%
ValueCountFrequency (%)
108 2
1.0%
101 1
0.5%
96 2
1.0%
95 1
0.5%
90 1
0.5%
88 1
0.5%
86 1
0.5%
71 1
0.5%
68 1
0.5%
67 1
0.5%

19.1
Real number (ℝ)

Distinct109
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.944724
Minimum9
Maximum354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:47.138848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile20.9
Q135.5
median58
Q393.5
95-th percentile201.6
Maximum354
Range345
Interquartile range (IQR)58

Descriptive statistics

Standard deviation63.037122
Coefficient of variation (CV)0.80874136
Kurtosis4.3252523
Mean77.944724
Median Absolute Deviation (MAD)27
Skewness1.9808939
Sum15511
Variance3973.6787
MonotonicityNot monotonic
2023-12-10T15:25:47.352568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 7
 
3.5%
49 5
 
2.5%
29 5
 
2.5%
46 5
 
2.5%
39 4
 
2.0%
36 4
 
2.0%
34 4
 
2.0%
70 4
 
2.0%
64 4
 
2.0%
50 4
 
2.0%
Other values (99) 153
76.9%
ValueCountFrequency (%)
9 1
 
0.5%
12 1
 
0.5%
16 2
1.0%
18 3
1.5%
20 3
1.5%
21 2
1.0%
22 2
1.0%
23 3
1.5%
24 2
1.0%
25 3
1.5%
ValueCountFrequency (%)
354 1
0.5%
327 1
0.5%
307 1
0.5%
301 1
0.5%
284 1
0.5%
265 1
0.5%
249 1
0.5%
241 1
0.5%
233 1
0.5%
216 1
0.5%

20
Real number (ℝ)

Distinct111
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.085427
Minimum11
Maximum469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:47.579112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile22
Q136
median63
Q3108.5
95-th percentile266
Maximum469
Range458
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation84.478003
Coefficient of variation (CV)0.93775438
Kurtosis6.4938559
Mean90.085427
Median Absolute Deviation (MAD)30
Skewness2.3948004
Sum17927
Variance7136.5331
MonotonicityNot monotonic
2023-12-10T15:25:47.788650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 8
 
4.0%
31 6
 
3.0%
63 5
 
2.5%
41 4
 
2.0%
54 4
 
2.0%
32 4
 
2.0%
64 4
 
2.0%
52 4
 
2.0%
74 4
 
2.0%
25 4
 
2.0%
Other values (101) 152
76.4%
ValueCountFrequency (%)
11 1
 
0.5%
13 1
 
0.5%
17 1
 
0.5%
18 1
 
0.5%
19 2
1.0%
20 1
 
0.5%
21 1
 
0.5%
22 3
1.5%
23 1
 
0.5%
24 3
1.5%
ValueCountFrequency (%)
469 1
0.5%
439 1
0.5%
438 1
0.5%
427 1
0.5%
400 1
0.5%
398 1
0.5%
336 1
0.5%
311 1
0.5%
273 1
0.5%
266 2
1.0%

3.6
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.442211
Minimum2
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:48.008627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q320
95-th percentile55.1
Maximum161
Range159
Interquartile range (IQR)14

Descriptive statistics

Standard deviation21.308352
Coefficient of variation (CV)1.2216543
Kurtosis14.859761
Mean17.442211
Median Absolute Deviation (MAD)5
Skewness3.3984257
Sum3471
Variance454.04589
MonotonicityNot monotonic
2023-12-10T15:25:48.316006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 21
 
10.6%
8 14
 
7.0%
7 14
 
7.0%
9 13
 
6.5%
10 13
 
6.5%
6 10
 
5.0%
4 10
 
5.0%
11 10
 
5.0%
3 10
 
5.0%
13 6
 
3.0%
Other values (42) 78
39.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 10
5.0%
4 10
5.0%
5 21
10.6%
6 10
5.0%
7 14
7.0%
8 14
7.0%
9 13
6.5%
10 13
6.5%
11 10
5.0%
ValueCountFrequency (%)
161 1
0.5%
116 1
0.5%
109 1
0.5%
102 1
0.5%
82 1
0.5%
80 1
0.5%
71 1
0.5%
69 1
0.5%
68 1
0.5%
56 1
0.5%

3.7
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.115578
Minimum2
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:48.991153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q320
95-th percentile44
Maximum73
Range71
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.059758
Coefficient of variation (CV)0.8639933
Kurtosis4.7129941
Mean15.115578
Median Absolute Deviation (MAD)5
Skewness2.0213545
Sum3008
Variance170.55728
MonotonicityNot monotonic
2023-12-10T15:25:49.221598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5 16
 
8.0%
10 14
 
7.0%
7 14
 
7.0%
6 13
 
6.5%
13 12
 
6.0%
8 12
 
6.0%
9 11
 
5.5%
3 9
 
4.5%
11 9
 
4.5%
12 9
 
4.5%
Other values (35) 80
40.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
4.5%
4 9
4.5%
5 16
8.0%
6 13
6.5%
7 14
7.0%
8 12
6.0%
9 11
5.5%
10 14
7.0%
11 9
4.5%
ValueCountFrequency (%)
73 1
0.5%
72 1
0.5%
65 1
0.5%
59 1
0.5%
56 1
0.5%
53 1
0.5%
47 1
0.5%
46 1
0.5%
45 1
0.5%
44 2
1.0%

4.7
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.226131
Minimum2
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:49.473062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16.5
median11
Q319.5
95-th percentile50
Maximum96
Range94
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.732426
Coefficient of variation (CV)0.96957345
Kurtosis7.5918277
Mean16.226131
Median Absolute Deviation (MAD)5
Skewness2.5234997
Sum3229
Variance247.50921
MonotonicityNot monotonic
2023-12-10T15:25:49.705504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6 17
 
8.5%
8 15
 
7.5%
5 14
 
7.0%
12 13
 
6.5%
11 12
 
6.0%
4 10
 
5.0%
10 10
 
5.0%
9 10
 
5.0%
7 9
 
4.5%
3 7
 
3.5%
Other values (36) 82
41.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 7
3.5%
4 10
5.0%
5 14
7.0%
6 17
8.5%
7 9
4.5%
8 15
7.5%
9 10
5.0%
10 10
5.0%
11 12
6.0%
ValueCountFrequency (%)
96 1
 
0.5%
87 1
 
0.5%
86 1
 
0.5%
74 1
 
0.5%
64 1
 
0.5%
59 3
1.5%
57 1
 
0.5%
50 2
1.0%
41 4
2.0%
40 1
 
0.5%

4.8
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.085427
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:49.914444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q315
95-th percentile35
Maximum100
Range98
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.347156
Coefficient of variation (CV)0.87659081
Kurtosis14.120279
Mean14.085427
Median Absolute Deviation (MAD)4
Skewness3.0613325
Sum2803
Variance152.45226
MonotonicityNot monotonic
2023-12-10T15:25:50.112812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 19
 
9.5%
12 18
 
9.0%
6 17
 
8.5%
13 16
 
8.0%
10 12
 
6.0%
9 12
 
6.0%
4 11
 
5.5%
5 11
 
5.5%
14 9
 
4.5%
8 8
 
4.0%
Other values (29) 66
33.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 6
 
3.0%
4 11
5.5%
5 11
5.5%
6 17
8.5%
7 19
9.5%
8 8
4.0%
9 12
6.0%
10 12
6.0%
11 6
 
3.0%
ValueCountFrequency (%)
100 1
 
0.5%
72 1
 
0.5%
57 1
 
0.5%
49 1
 
0.5%
46 1
 
0.5%
45 2
1.0%
40 1
 
0.5%
39 1
 
0.5%
35 2
1.0%
34 4
2.0%

0.6
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3869347
Minimum0
Maximum34
Zeros98
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:50.283726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum34
Range34
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.0593507
Coefficient of variation (CV)2.2058362
Kurtosis68.807023
Mean1.3869347
Median Absolute Deviation (MAD)1
Skewness7.2985911
Sum276
Variance9.3596264
MonotonicityNot monotonic
2023-12-10T15:25:50.464963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 98
49.2%
2 80
40.2%
1 10
 
5.0%
3 4
 
2.0%
14 2
 
1.0%
4 2
 
1.0%
34 1
 
0.5%
13 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 98
49.2%
1 10
 
5.0%
2 80
40.2%
3 4
 
2.0%
4 2
 
1.0%
11 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
34 1
 
0.5%
ValueCountFrequency (%)
34 1
 
0.5%
14 2
 
1.0%
13 1
 
0.5%
11 1
 
0.5%
4 2
 
1.0%
3 4
 
2.0%
2 80
40.2%
1 10
 
5.0%
0 98
49.2%

5.4
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.738693
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:50.696434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q18
median12
Q318
95-th percentile35
Maximum55
Range54
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.9849412
Coefficient of variation (CV)0.67746447
Kurtosis3.4953264
Mean14.738693
Median Absolute Deviation (MAD)5
Skewness1.7367273
Sum2933
Variance99.699051
MonotonicityNot monotonic
2023-12-10T15:25:50.959397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
9 19
 
9.5%
6 17
 
8.5%
5 11
 
5.5%
12 10
 
5.0%
18 9
 
4.5%
7 9
 
4.5%
10 9
 
4.5%
11 9
 
4.5%
13 9
 
4.5%
14 9
 
4.5%
Other values (30) 88
44.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 4
 
2.0%
4 3
 
1.5%
5 11
5.5%
6 17
8.5%
7 9
4.5%
8 8
4.0%
9 19
9.5%
10 9
4.5%
ValueCountFrequency (%)
55 1
 
0.5%
52 1
 
0.5%
49 1
 
0.5%
48 1
 
0.5%
47 1
 
0.5%
45 2
1.0%
43 1
 
0.5%
40 1
 
0.5%
35 3
1.5%
33 2
1.0%

3.8
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.326633
Minimum2
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:51.208231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median11
Q323
95-th percentile96.4
Maximum268
Range266
Interquartile range (IQR)17

Descriptive statistics

Standard deviation38.581657
Coefficient of variation (CV)1.5859843
Kurtosis15.970085
Mean24.326633
Median Absolute Deviation (MAD)6
Skewness3.7026929
Sum4841
Variance1488.5443
MonotonicityNot monotonic
2023-12-10T15:25:51.435034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18
 
9.0%
9 16
 
8.0%
4 15
 
7.5%
6 15
 
7.5%
8 12
 
6.0%
7 11
 
5.5%
12 9
 
4.5%
13 7
 
3.5%
11 7
 
3.5%
10 6
 
3.0%
Other values (48) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 15
7.5%
5 18
9.0%
6 15
7.5%
7 11
5.5%
8 12
6.0%
9 16
8.0%
10 6
 
3.0%
11 7
 
3.5%
ValueCountFrequency (%)
268 1
0.5%
222 1
0.5%
211 1
0.5%
206 1
0.5%
152 1
0.5%
139 1
0.5%
114 1
0.5%
109 1
0.5%
104 1
0.5%
100 1
0.5%

3.9
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.231156
Minimum2
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:51.703118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q321.5
95-th percentile39.1
Maximum77
Range75
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation14.17092
Coefficient of variation (CV)0.93039035
Kurtosis4.7275219
Mean15.231156
Median Absolute Deviation (MAD)5
Skewness2.0110036
Sum3031
Variance200.81498
MonotonicityNot monotonic
2023-12-10T15:25:51.950725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
7 19
 
9.5%
5 15
 
7.5%
4 15
 
7.5%
9 13
 
6.5%
6 13
 
6.5%
3 11
 
5.5%
8 10
 
5.0%
10 9
 
4.5%
12 6
 
3.0%
22 6
 
3.0%
Other values (35) 82
41.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 11
5.5%
4 15
7.5%
5 15
7.5%
6 13
6.5%
7 19
9.5%
8 10
5.0%
9 13
6.5%
10 9
4.5%
11 6
 
3.0%
ValueCountFrequency (%)
77 1
0.5%
74 1
0.5%
73 1
0.5%
67 1
0.5%
63 1
0.5%
55 1
0.5%
50 1
0.5%
47 1
0.5%
46 1
0.5%
40 1
0.5%

3.10
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.81407
Minimum2
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:52.199727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median11
Q321
95-th percentile49.3
Maximum235
Range233
Interquartile range (IQR)15

Descriptive statistics

Standard deviation23.636998
Coefficient of variation (CV)1.3268724
Kurtosis39.98017
Mean17.81407
Median Absolute Deviation (MAD)6
Skewness5.3209592
Sum3545
Variance558.70768
MonotonicityNot monotonic
2023-12-10T15:25:52.421261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5 21
 
10.6%
7 17
 
8.5%
8 13
 
6.5%
12 12
 
6.0%
6 11
 
5.5%
9 10
 
5.0%
4 10
 
5.0%
11 9
 
4.5%
19 8
 
4.0%
10 7
 
3.5%
Other values (38) 81
40.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 7
 
3.5%
4 10
5.0%
5 21
10.6%
6 11
5.5%
7 17
8.5%
8 13
6.5%
9 10
5.0%
10 7
 
3.5%
11 9
4.5%
ValueCountFrequency (%)
235 1
0.5%
131 1
0.5%
128 1
0.5%
83 1
0.5%
67 1
0.5%
65 1
0.5%
57 1
0.5%
56 1
0.5%
54 1
0.5%
52 1
0.5%

4.9
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.693467
Minimum2
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:52.642566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median12
Q317
95-th percentile40.5
Maximum123
Range121
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.911575
Coefficient of variation (CV)0.95017719
Kurtosis17.005755
Mean15.693467
Median Absolute Deviation (MAD)5
Skewness3.4266338
Sum3123
Variance222.35506
MonotonicityNot monotonic
2023-12-10T15:25:52.905217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6 14
 
7.0%
13 13
 
6.5%
14 13
 
6.5%
8 12
 
6.0%
11 12
 
6.0%
5 12
 
6.0%
7 12
 
6.0%
10 11
 
5.5%
4 11
 
5.5%
9 11
 
5.5%
Other values (34) 78
39.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 11
5.5%
5 12
6.0%
6 14
7.0%
7 12
6.0%
8 12
6.0%
9 11
5.5%
10 11
5.5%
11 12
6.0%
ValueCountFrequency (%)
123 1
0.5%
90 1
0.5%
73 1
0.5%
59 2
1.0%
56 1
0.5%
50 1
0.5%
47 1
0.5%
46 1
0.5%
45 1
0.5%
40 1
0.5%

6.4
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.311558
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:53.108940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q19
median15
Q322.5
95-th percentile40.2
Maximum63
Range62
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation11.875338
Coefficient of variation (CV)0.68597744
Kurtosis3.5911307
Mean17.311558
Median Absolute Deviation (MAD)6
Skewness1.7389862
Sum3445
Variance141.02365
MonotonicityNot monotonic
2023-12-10T15:25:53.295629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11 17
 
8.5%
8 14
 
7.0%
23 12
 
6.0%
15 10
 
5.0%
17 10
 
5.0%
6 10
 
5.0%
10 10
 
5.0%
20 7
 
3.5%
7 7
 
3.5%
19 7
 
3.5%
Other values (31) 95
47.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 4
 
2.0%
4 4
 
2.0%
5 4
 
2.0%
6 10
5.0%
7 7
3.5%
8 14
7.0%
9 7
3.5%
10 10
5.0%
ValueCountFrequency (%)
63 2
1.0%
59 1
 
0.5%
56 3
1.5%
53 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
39 2
1.0%
38 2
1.0%

21.1
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.095477
Minimum10
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:53.543204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile22
Q136
median54
Q377.5
95-th percentile151.1
Maximum241
Range231
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation42.65549
Coefficient of variation (CV)0.65527579
Kurtosis3.791675
Mean65.095477
Median Absolute Deviation (MAD)20
Skewness1.8078176
Sum12954
Variance1819.4908
MonotonicityNot monotonic
2023-12-10T15:25:53.805714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 7
 
3.5%
48 6
 
3.0%
27 5
 
2.5%
52 5
 
2.5%
35 5
 
2.5%
75 5
 
2.5%
55 5
 
2.5%
33 4
 
2.0%
65 4
 
2.0%
67 4
 
2.0%
Other values (88) 149
74.9%
ValueCountFrequency (%)
10 1
 
0.5%
14 1
 
0.5%
15 2
1.0%
17 2
1.0%
18 1
 
0.5%
19 2
1.0%
22 3
1.5%
23 2
1.0%
24 1
 
0.5%
25 4
2.0%
ValueCountFrequency (%)
241 1
0.5%
234 1
0.5%
219 1
0.5%
218 1
0.5%
193 1
0.5%
191 1
0.5%
187 1
0.5%
160 1
0.5%
155 1
0.5%
152 1
0.5%

23.1
Real number (ℝ)

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.351759
Minimum11
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:54.099960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21.9
Q137
median56
Q385
95-th percentile165
Maximum260
Range249
Interquartile range (IQR)48

Descriptive statistics

Standard deviation47.51594
Coefficient of variation (CV)0.68514398
Kurtosis3.4860546
Mean69.351759
Median Absolute Deviation (MAD)21
Skewness1.7631389
Sum13801
Variance2257.7645
MonotonicityNot monotonic
2023-12-10T15:25:54.400213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 6
 
3.0%
35 6
 
3.0%
57 5
 
2.5%
45 5
 
2.5%
69 5
 
2.5%
37 4
 
2.0%
38 4
 
2.0%
33 4
 
2.0%
70 4
 
2.0%
56 4
 
2.0%
Other values (89) 152
76.4%
ValueCountFrequency (%)
11 1
0.5%
12 1
0.5%
14 1
0.5%
15 1
0.5%
16 1
0.5%
17 2
1.0%
18 1
0.5%
19 1
0.5%
21 1
0.5%
22 2
1.0%
ValueCountFrequency (%)
260 1
0.5%
257 1
0.5%
244 1
0.5%
242 1
0.5%
208 1
0.5%
201 1
0.5%
192 1
0.5%
172 1
0.5%
169 1
0.5%
165 2
1.0%

3.11
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.673367
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:54.632272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q316
95-th percentile29.1
Maximum47
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.3520302
Coefficient of variation (CV)0.65902221
Kurtosis2.9167744
Mean12.673367
Median Absolute Deviation (MAD)4
Skewness1.5967158
Sum2522
Variance69.756408
MonotonicityNot monotonic
2023-12-10T15:25:54.976027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5 18
 
9.0%
8 18
 
9.0%
11 17
 
8.5%
9 15
 
7.5%
10 14
 
7.0%
6 12
 
6.0%
7 11
 
5.5%
4 10
 
5.0%
12 8
 
4.0%
14 7
 
3.5%
Other values (25) 69
34.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 10
5.0%
5 18
9.0%
6 12
6.0%
7 11
5.5%
8 18
9.0%
9 15
7.5%
10 14
7.0%
11 17
8.5%
ValueCountFrequency (%)
47 1
0.5%
44 2
1.0%
41 1
0.5%
37 1
0.5%
32 1
0.5%
31 2
1.0%
30 2
1.0%
29 1
0.5%
28 2
1.0%
27 1
0.5%

4.10
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.427136
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:55.232894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314.5
95-th percentile30
Maximum47
Range45
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation8.6965375
Coefficient of variation (CV)0.69980225
Kurtosis3.0921478
Mean12.427136
Median Absolute Deviation (MAD)4
Skewness1.7198903
Sum2473
Variance75.629765
MonotonicityNot monotonic
2023-12-10T15:25:55.441561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 20
 
10.1%
11 15
 
7.5%
9 15
 
7.5%
6 15
 
7.5%
5 13
 
6.5%
12 12
 
6.0%
10 12
 
6.0%
4 11
 
5.5%
8 11
 
5.5%
13 10
 
5.0%
Other values (23) 65
32.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 7
 
3.5%
4 11
5.5%
5 13
6.5%
6 15
7.5%
7 20
10.1%
8 11
5.5%
9 15
7.5%
10 12
6.0%
11 15
7.5%
ValueCountFrequency (%)
47 2
1.0%
44 1
 
0.5%
42 1
 
0.5%
35 2
1.0%
33 1
 
0.5%
32 2
1.0%
30 2
1.0%
29 3
1.5%
28 3
1.5%
27 4
2.0%

0.7
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5326633
Minimum0
Maximum41
Zeros98
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:55.627318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum41
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6635922
Coefficient of variation (CV)2.3903437
Kurtosis72.389243
Mean1.5326633
Median Absolute Deviation (MAD)1
Skewness7.6002335
Sum305
Variance13.421908
MonotonicityNot monotonic
2023-12-10T15:25:55.823964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 98
49.2%
2 81
40.7%
3 6
 
3.0%
1 5
 
2.5%
4 3
 
1.5%
18 2
 
1.0%
41 1
 
0.5%
5 1
 
0.5%
12 1
 
0.5%
14 1
 
0.5%
ValueCountFrequency (%)
0 98
49.2%
1 5
 
2.5%
2 81
40.7%
3 6
 
3.0%
4 3
 
1.5%
5 1
 
0.5%
12 1
 
0.5%
14 1
 
0.5%
18 2
 
1.0%
41 1
 
0.5%
ValueCountFrequency (%)
41 1
 
0.5%
18 2
 
1.0%
14 1
 
0.5%
12 1
 
0.5%
5 1
 
0.5%
4 3
 
1.5%
3 6
 
3.0%
2 81
40.7%
1 5
 
2.5%
0 98
49.2%

4.11
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.949749
Minimum2
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:56.021290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q316
95-th percentile31
Maximum49
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.9987366
Coefficient of variation (CV)0.69489662
Kurtosis3.5084603
Mean12.949749
Median Absolute Deviation (MAD)4
Skewness1.7718902
Sum2577
Variance80.97726
MonotonicityNot monotonic
2023-12-10T15:25:56.256144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 21
 
10.6%
7 17
 
8.5%
10 15
 
7.5%
11 13
 
6.5%
9 12
 
6.0%
13 12
 
6.0%
8 12
 
6.0%
5 10
 
5.0%
15 8
 
4.0%
4 8
 
4.0%
Other values (24) 71
35.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 6
 
3.0%
4 8
 
4.0%
5 10
5.0%
6 21
10.6%
7 17
8.5%
8 12
6.0%
9 12
6.0%
10 15
7.5%
11 13
6.5%
ValueCountFrequency (%)
49 2
1.0%
48 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
36 2
1.0%
33 2
1.0%
31 2
1.0%
30 3
1.5%
29 1
 
0.5%
28 3
1.5%

4.12
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.954774
Minimum2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:56.497733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q314
95-th percentile30.2
Maximum43
Range41
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.3981097
Coefficient of variation (CV)0.70249005
Kurtosis3.6664633
Mean11.954774
Median Absolute Deviation (MAD)4
Skewness1.8551963
Sum2379
Variance70.528247
MonotonicityNot monotonic
2023-12-10T15:25:56.778035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 23
 
11.6%
8 20
 
10.1%
14 17
 
8.5%
5 15
 
7.5%
10 13
 
6.5%
11 11
 
5.5%
12 9
 
4.5%
4 9
 
4.5%
13 9
 
4.5%
3 8
 
4.0%
Other values (25) 65
32.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 8
 
4.0%
4 9
 
4.5%
5 15
7.5%
6 8
 
4.0%
7 23
11.6%
8 20
10.1%
9 8
 
4.0%
10 13
6.5%
11 11
5.5%
ValueCountFrequency (%)
43 2
1.0%
42 1
0.5%
41 2
1.0%
38 1
0.5%
37 1
0.5%
35 1
0.5%
34 1
0.5%
32 1
0.5%
30 2
1.0%
29 1
0.5%

6.5
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.678392
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:57.508738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16
median13
Q319
95-th percentile41.2
Maximum69
Range68
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.866985
Coefficient of variation (CV)0.8084663
Kurtosis4.3012899
Mean14.678392
Median Absolute Deviation (MAD)6
Skewness1.8204094
Sum2921
Variance140.82534
MonotonicityNot monotonic
2023-12-10T15:25:57.732468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3 15
 
7.5%
5 13
 
6.5%
10 12
 
6.0%
13 11
 
5.5%
19 11
 
5.5%
2 10
 
5.0%
16 9
 
4.5%
11 9
 
4.5%
14 9
 
4.5%
8 7
 
3.5%
Other values (31) 93
46.7%
ValueCountFrequency (%)
1 5
 
2.5%
2 10
5.0%
3 15
7.5%
4 2
 
1.0%
5 13
6.5%
6 6
 
3.0%
7 7
3.5%
8 7
3.5%
9 7
3.5%
10 12
6.0%
ValueCountFrequency (%)
69 1
 
0.5%
62 1
 
0.5%
58 1
 
0.5%
53 1
 
0.5%
51 1
 
0.5%
48 1
 
0.5%
46 1
 
0.5%
43 3
1.5%
41 1
 
0.5%
37 1
 
0.5%

4.13
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.18593
Minimum4
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:57.999680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q17
median11
Q320
95-th percentile41.3
Maximum68
Range64
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.648497
Coefficient of variation (CV)0.76705853
Kurtosis2.8164811
Mean15.18593
Median Absolute Deviation (MAD)5
Skewness1.6929766
Sum3022
Variance135.68748
MonotonicityNot monotonic
2023-12-10T15:25:58.265747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
8 17
 
8.5%
5 17
 
8.5%
6 16
 
8.0%
10 15
 
7.5%
9 14
 
7.0%
11 13
 
6.5%
7 10
 
5.0%
13 8
 
4.0%
4 8
 
4.0%
14 7
 
3.5%
Other values (30) 74
37.2%
ValueCountFrequency (%)
4 8
4.0%
5 17
8.5%
6 16
8.0%
7 10
5.0%
8 17
8.5%
9 14
7.0%
10 15
7.5%
11 13
6.5%
12 7
3.5%
13 8
4.0%
ValueCountFrequency (%)
68 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
48 2
1.0%
47 1
 
0.5%
46 2
1.0%
45 1
 
0.5%
44 1
 
0.5%
41 1
 
0.5%
38 3
1.5%

3.12
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.321608
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:58.513363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q314
95-th percentile34
Maximum51
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.9613944
Coefficient of variation (CV)0.80844922
Kurtosis2.87619
Mean12.321608
Median Absolute Deviation (MAD)4
Skewness1.7625156
Sum2452
Variance99.229379
MonotonicityNot monotonic
2023-12-10T15:25:58.740303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 25
 
12.6%
6 19
 
9.5%
7 15
 
7.5%
11 13
 
6.5%
9 13
 
6.5%
8 13
 
6.5%
10 11
 
5.5%
12 10
 
5.0%
4 9
 
4.5%
2 7
 
3.5%
Other values (28) 64
32.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 7
 
3.5%
3 4
 
2.0%
4 9
 
4.5%
5 25
12.6%
6 19
9.5%
7 15
7.5%
8 13
6.5%
9 13
6.5%
10 11
5.5%
ValueCountFrequency (%)
51 1
 
0.5%
49 1
 
0.5%
45 1
 
0.5%
44 3
1.5%
37 1
 
0.5%
36 1
 
0.5%
34 3
1.5%
33 2
1.0%
32 1
 
0.5%
31 2
1.0%

4.14
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.768844
Minimum2
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:58.974343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16
median9
Q314.5
95-th percentile33.1
Maximum65
Range63
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.670777
Coefficient of variation (CV)0.83568858
Kurtosis6.8014072
Mean12.768844
Median Absolute Deviation (MAD)4
Skewness2.3544252
Sum2541
Variance113.86549
MonotonicityNot monotonic
2023-12-10T15:25:59.198214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 21
 
10.6%
5 18
 
9.0%
9 17
 
8.5%
8 15
 
7.5%
7 13
 
6.5%
11 12
 
6.0%
12 11
 
5.5%
4 10
 
5.0%
13 10
 
5.0%
20 7
 
3.5%
Other values (29) 65
32.7%
ValueCountFrequency (%)
2 5
 
2.5%
3 5
 
2.5%
4 10
5.0%
5 18
9.0%
6 21
10.6%
7 13
6.5%
8 15
7.5%
9 17
8.5%
10 6
 
3.0%
11 12
6.0%
ValueCountFrequency (%)
65 1
0.5%
60 1
0.5%
59 1
0.5%
54 1
0.5%
45 1
0.5%
43 1
0.5%
41 1
0.5%
36 2
1.0%
34 1
0.5%
33 2
1.0%

5.5
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.236181
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:59.441524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q314.5
95-th percentile32.1
Maximum52
Range51
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation9.2348428
Coefficient of variation (CV)0.7547161
Kurtosis4.5893848
Mean12.236181
Median Absolute Deviation (MAD)4
Skewness1.9926618
Sum2435
Variance85.282321
MonotonicityNot monotonic
2023-12-10T15:25:59.672807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 22
 
11.1%
5 13
 
6.5%
8 13
 
6.5%
11 12
 
6.0%
14 12
 
6.0%
9 11
 
5.5%
6 11
 
5.5%
13 11
 
5.5%
4 11
 
5.5%
12 10
 
5.0%
Other values (27) 73
36.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 6
 
3.0%
3 6
 
3.0%
4 11
5.5%
5 13
6.5%
6 11
5.5%
7 22
11.1%
8 13
6.5%
9 11
5.5%
10 9
4.5%
ValueCountFrequency (%)
52 1
0.5%
48 2
1.0%
44 2
1.0%
41 1
0.5%
38 1
0.5%
36 1
0.5%
33 2
1.0%
32 1
0.5%
31 2
1.0%
30 1
0.5%

7.2
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.251256
Minimum0
Maximum80
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:59.961372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median15
Q323
95-th percentile48.1
Maximum80
Range80
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.484655
Coefficient of variation (CV)0.83962901
Kurtosis3.736189
Mean17.251256
Median Absolute Deviation (MAD)8
Skewness1.6749389
Sum3433
Variance209.80524
MonotonicityNot monotonic
2023-12-10T15:26:00.218708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2 18
 
9.0%
16 10
 
5.0%
1 10
 
5.0%
11 9
 
4.5%
19 7
 
3.5%
25 7
 
3.5%
3 7
 
3.5%
18 7
 
3.5%
13 7
 
3.5%
14 6
 
3.0%
Other values (37) 111
55.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 10
5.0%
2 18
9.0%
3 7
 
3.5%
4 3
 
1.5%
5 5
 
2.5%
6 2
 
1.0%
7 5
 
2.5%
8 5
 
2.5%
9 6
 
3.0%
ValueCountFrequency (%)
80 1
0.5%
76 1
0.5%
67 1
0.5%
65 1
0.5%
61 1
0.5%
59 1
0.5%
54 1
0.5%
51 2
1.0%
49 1
0.5%
48 2
1.0%

10.1
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.713568
Minimum8
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:00.490903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile11
Q117
median29
Q341.5
95-th percentile85.3
Maximum147
Range139
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation24.853375
Coefficient of variation (CV)0.71595566
Kurtosis4.4314074
Mean34.713568
Median Absolute Deviation (MAD)12
Skewness1.9245078
Sum6908
Variance617.69027
MonotonicityNot monotonic
2023-12-10T15:26:00.737873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 10
 
5.0%
24 9
 
4.5%
15 8
 
4.0%
12 8
 
4.0%
29 8
 
4.0%
17 8
 
4.0%
16 8
 
4.0%
34 6
 
3.0%
25 6
 
3.0%
14 6
 
3.0%
Other values (52) 122
61.3%
ValueCountFrequency (%)
8 3
 
1.5%
9 2
 
1.0%
10 3
 
1.5%
11 4
2.0%
12 8
4.0%
13 3
 
1.5%
14 6
3.0%
15 8
4.0%
16 8
4.0%
17 8
4.0%
ValueCountFrequency (%)
147 1
0.5%
146 1
0.5%
113 1
0.5%
112 1
0.5%
110 1
0.5%
107 1
0.5%
100 2
1.0%
88 2
1.0%
85 1
0.5%
83 1
0.5%

10.2
Real number (ℝ)

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.175879
Minimum8
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:00.945152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12
Q118
median30
Q345.5
95-th percentile111
Maximum239
Range231
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation34.816898
Coefficient of variation (CV)0.86661197
Kurtosis8.831852
Mean40.175879
Median Absolute Deviation (MAD)13
Skewness2.6201867
Sum7995
Variance1212.2164
MonotonicityNot monotonic
2023-12-10T15:26:01.186167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 9
 
4.5%
16 9
 
4.5%
25 9
 
4.5%
32 8
 
4.0%
17 8
 
4.0%
26 7
 
3.5%
12 7
 
3.5%
15 5
 
2.5%
37 5
 
2.5%
23 5
 
2.5%
Other values (65) 127
63.8%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 2
 
1.0%
11 2
 
1.0%
12 7
3.5%
13 4
2.0%
14 4
2.0%
15 5
2.5%
16 9
4.5%
17 8
4.0%
ValueCountFrequency (%)
239 1
 
0.5%
190 1
 
0.5%
184 1
 
0.5%
181 1
 
0.5%
136 1
 
0.5%
131 1
 
0.5%
130 1
 
0.5%
119 1
 
0.5%
118 1
 
0.5%
111 3
1.5%

0.8
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4070352
Minimum0
Maximum39
Zeros104
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:01.411584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2.2
Maximum39
Range39
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.6209479
Coefficient of variation (CV)2.5734594
Kurtosis65.645401
Mean1.4070352
Median Absolute Deviation (MAD)0
Skewness7.3529307
Sum280
Variance13.111263
MonotonicityNot monotonic
2023-12-10T15:26:01.594594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 104
52.3%
2 73
36.7%
1 12
 
6.0%
4 5
 
2.5%
39 1
 
0.5%
21 1
 
0.5%
8 1
 
0.5%
18 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
0 104
52.3%
1 12
 
6.0%
2 73
36.7%
4 5
 
2.5%
8 1
 
0.5%
16 1
 
0.5%
18 1
 
0.5%
21 1
 
0.5%
39 1
 
0.5%
ValueCountFrequency (%)
39 1
 
0.5%
21 1
 
0.5%
18 1
 
0.5%
16 1
 
0.5%
8 1
 
0.5%
4 5
 
2.5%
2 73
36.7%
1 12
 
6.0%
0 104
52.3%

2.13
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5326633
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:01.824475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile18.1
Maximum38
Range37
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3633331
Coefficient of variation (CV)0.82100253
Kurtosis7.296686
Mean6.5326633
Median Absolute Deviation (MAD)2
Skewness2.2906209
Sum1300
Variance28.765342
MonotonicityNot monotonic
2023-12-10T15:26:02.049967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 30
15.1%
3 28
14.1%
2 28
14.1%
5 26
13.1%
6 14
7.0%
7 13
6.5%
9 10
 
5.0%
8 8
 
4.0%
10 5
 
2.5%
1 5
 
2.5%
Other values (14) 32
16.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 28
14.1%
3 28
14.1%
4 30
15.1%
5 26
13.1%
6 14
7.0%
7 13
6.5%
8 8
 
4.0%
9 10
 
5.0%
10 5
 
2.5%
ValueCountFrequency (%)
38 1
 
0.5%
27 1
 
0.5%
23 3
1.5%
22 1
 
0.5%
20 2
1.0%
19 2
1.0%
18 1
 
0.5%
17 1
 
0.5%
16 1
 
0.5%
15 2
1.0%

2.14
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6532663
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:02.293813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile17
Maximum37
Range36
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3300536
Coefficient of variation (CV)0.80111833
Kurtosis6.8167628
Mean6.6532663
Median Absolute Deviation (MAD)2
Skewness2.2346059
Sum1324
Variance28.409472
MonotonicityNot monotonic
2023-12-10T15:26:02.530192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 31
15.6%
3 30
15.1%
2 25
12.6%
6 22
11.1%
4 22
11.1%
7 14
7.0%
10 7
 
3.5%
9 6
 
3.0%
13 5
 
2.5%
8 5
 
2.5%
Other values (14) 32
16.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 25
12.6%
3 30
15.1%
4 22
11.1%
5 31
15.6%
6 22
11.1%
7 14
7.0%
8 5
 
2.5%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
37 1
 
0.5%
27 2
1.0%
22 2
1.0%
21 1
 
0.5%
20 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
17 3
1.5%
16 2
1.0%
15 4
2.0%

2.15
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3266332
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:02.740534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile19
Maximum53
Range52
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.7426611
Coefficient of variation (CV)0.92029463
Kurtosis14.535196
Mean7.3266332
Median Absolute Deviation (MAD)2
Skewness3.1929844
Sum1458
Variance45.463479
MonotonicityNot monotonic
2023-12-10T15:26:02.958887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 33
16.6%
4 31
15.6%
5 20
10.1%
2 18
9.0%
6 17
8.5%
7 14
7.0%
8 12
 
6.0%
9 9
 
4.5%
12 6
 
3.0%
13 6
 
3.0%
Other values (15) 33
16.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 18
9.0%
3 33
16.6%
4 31
15.6%
5 20
10.1%
6 17
8.5%
7 14
7.0%
8 12
 
6.0%
9 9
 
4.5%
10 5
 
2.5%
ValueCountFrequency (%)
53 1
 
0.5%
40 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
23 1
 
0.5%
22 4
2.0%
19 2
1.0%
18 2
1.0%
17 1
 
0.5%
16 4
2.0%

2.16
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4020101
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:03.163500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q37
95-th percentile17
Maximum50
Range49
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.3019147
Coefficient of variation (CV)0.82816406
Kurtosis23.131206
Mean6.4020101
Median Absolute Deviation (MAD)2
Skewness3.6658477
Sum1274
Variance28.110299
MonotonicityNot monotonic
2023-12-10T15:26:03.382442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 31
15.6%
5 29
14.6%
2 24
12.1%
6 24
12.1%
4 23
11.6%
7 20
10.1%
9 8
 
4.0%
8 7
 
3.5%
11 5
 
2.5%
13 4
 
2.0%
Other values (10) 24
12.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 24
12.1%
3 31
15.6%
4 23
11.6%
5 29
14.6%
6 24
12.1%
7 20
10.1%
8 7
 
3.5%
9 8
 
4.0%
10 4
 
2.0%
ValueCountFrequency (%)
50 1
 
0.5%
21 2
 
1.0%
20 3
1.5%
19 3
1.5%
17 3
1.5%
16 1
 
0.5%
15 2
 
1.0%
14 2
 
1.0%
13 4
2.0%
11 5
2.5%

3.13
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5728643
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:03.584374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q39
95-th percentile19.1
Maximum32
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.9963085
Coefficient of variation (CV)0.65976469
Kurtosis5.3530078
Mean7.5728643
Median Absolute Deviation (MAD)2
Skewness2.0176731
Sum1507
Variance24.963098
MonotonicityNot monotonic
2023-12-10T15:26:03.784775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
5 25
12.6%
7 24
12.1%
6 23
11.6%
4 22
11.1%
9 20
10.1%
3 15
7.5%
8 13
6.5%
10 11
 
5.5%
2 10
 
5.0%
11 8
 
4.0%
Other values (15) 28
14.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 10
 
5.0%
3 15
7.5%
4 22
11.1%
5 25
12.6%
6 23
11.6%
7 24
12.1%
8 13
6.5%
9 20
10.1%
10 11
5.5%
ValueCountFrequency (%)
32 1
 
0.5%
28 1
 
0.5%
26 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
20 3
1.5%
19 1
 
0.5%
17 2
1.0%

2.17
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5577889
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:04.012697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39.5
95-th percentile25
Maximum68
Range67
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation10.784642
Coefficient of variation (CV)1.2602136
Kurtosis15.314637
Mean8.5577889
Median Absolute Deviation (MAD)2
Skewness3.6606051
Sum1703
Variance116.30851
MonotonicityNot monotonic
2023-12-10T15:26:04.276112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 33
16.6%
3 28
14.1%
2 26
13.1%
5 26
13.1%
6 13
 
6.5%
8 9
 
4.5%
7 7
 
3.5%
15 7
 
3.5%
12 6
 
3.0%
11 6
 
3.0%
Other values (19) 38
19.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 26
13.1%
3 28
14.1%
4 33
16.6%
5 26
13.1%
6 13
 
6.5%
7 7
 
3.5%
8 9
 
4.5%
9 6
 
3.0%
10 6
 
3.0%
ValueCountFrequency (%)
68 2
1.0%
66 1
0.5%
53 1
0.5%
51 2
1.0%
37 1
0.5%
31 1
0.5%
27 1
0.5%
25 2
1.0%
23 1
0.5%
22 1
0.5%

2.18
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2110553
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:04.526816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile21.1
Maximum44
Range43
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.9664186
Coefficient of variation (CV)0.96607478
Kurtosis7.6250011
Mean7.2110553
Median Absolute Deviation (MAD)2
Skewness2.4749012
Sum1435
Variance48.530988
MonotonicityNot monotonic
2023-12-10T15:26:04.724639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 34
17.1%
2 30
15.1%
4 25
12.6%
5 23
11.6%
6 18
9.0%
10 8
 
4.0%
9 7
 
3.5%
8 7
 
3.5%
15 6
 
3.0%
1 5
 
2.5%
Other values (19) 36
18.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 30
15.1%
3 34
17.1%
4 25
12.6%
5 23
11.6%
6 18
9.0%
7 3
 
1.5%
8 7
 
3.5%
9 7
 
3.5%
10 8
 
4.0%
ValueCountFrequency (%)
44 1
0.5%
39 1
0.5%
38 1
0.5%
31 1
0.5%
26 1
0.5%
25 2
1.0%
24 1
0.5%
23 1
0.5%
22 1
0.5%
21 1
0.5%

2.19
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0452261
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:05.018744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile21
Maximum88
Range87
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.6149591
Coefficient of variation (CV)1.1951136
Kurtosis27.850468
Mean8.0452261
Median Absolute Deviation (MAD)2
Skewness4.4510905
Sum1601
Variance92.447439
MonotonicityNot monotonic
2023-12-10T15:26:05.313865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3 39
19.6%
4 26
13.1%
5 21
10.6%
2 20
10.1%
6 18
9.0%
9 11
 
5.5%
8 8
 
4.0%
7 8
 
4.0%
10 5
 
2.5%
11 5
 
2.5%
Other values (20) 38
19.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 20
10.1%
3 39
19.6%
4 26
13.1%
5 21
10.6%
6 18
9.0%
7 8
 
4.0%
8 8
 
4.0%
9 11
 
5.5%
10 5
 
2.5%
ValueCountFrequency (%)
88 1
0.5%
50 1
0.5%
49 1
0.5%
46 1
0.5%
40 1
0.5%
29 1
0.5%
28 1
0.5%
27 1
0.5%
25 1
0.5%
21 2
1.0%

2.20
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3015075
Minimum2
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:05.571975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13.5
median6
Q38
95-th percentile17.1
Maximum66
Range64
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation6.7584252
Coefficient of variation (CV)0.92562052
Kurtosis30.384723
Mean7.3015075
Median Absolute Deviation (MAD)2
Skewness4.4260734
Sum1453
Variance45.676311
MonotonicityNot monotonic
2023-12-10T15:26:05.754775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 35
17.6%
5 26
13.1%
7 25
12.6%
4 22
11.1%
6 20
10.1%
2 15
7.5%
8 10
 
5.0%
9 9
 
4.5%
14 5
 
2.5%
12 4
 
2.0%
Other values (13) 28
14.1%
ValueCountFrequency (%)
2 15
7.5%
3 35
17.6%
4 22
11.1%
5 26
13.1%
6 20
10.1%
7 25
12.6%
8 10
 
5.0%
9 9
 
4.5%
10 3
 
1.5%
11 4
 
2.0%
ValueCountFrequency (%)
66 1
 
0.5%
33 2
1.0%
31 1
 
0.5%
25 1
 
0.5%
22 2
1.0%
20 2
1.0%
18 1
 
0.5%
17 2
1.0%
16 1
 
0.5%
15 4
2.0%

3.14
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1959799
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:05.948578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median8
Q311
95-th percentile22.1
Maximum36
Range35
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.0115028
Coefficient of variation (CV)0.65370986
Kurtosis4.5986618
Mean9.1959799
Median Absolute Deviation (MAD)3
Skewness1.9250461
Sum1830
Variance36.138166
MonotonicityNot monotonic
2023-12-10T15:26:06.155870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7 21
10.6%
4 19
9.5%
6 19
9.5%
8 18
9.0%
11 16
8.0%
10 16
8.0%
5 15
7.5%
9 14
 
7.0%
3 14
 
7.0%
12 10
 
5.0%
Other values (20) 37
18.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 14
7.0%
4 19
9.5%
5 15
7.5%
6 19
9.5%
7 21
10.6%
8 18
9.0%
9 14
7.0%
10 16
8.0%
ValueCountFrequency (%)
36 1
 
0.5%
35 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
28 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
24 2
1.0%
23 1
 
0.5%
22 3
1.5%

0.9
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6130653
Minimum0
Maximum41
Zeros97
Zeros (%)48.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:06.777655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum41
Range41
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.1360732
Coefficient of variation (CV)2.5641077
Kurtosis53.619284
Mean1.6130653
Median Absolute Deviation (MAD)1
Skewness6.8546316
Sum321
Variance17.107101
MonotonicityNot monotonic
2023-12-10T15:26:06.991743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 97
48.7%
2 83
41.7%
1 6
 
3.0%
4 6
 
3.0%
3 2
 
1.0%
41 1
 
0.5%
26 1
 
0.5%
6 1
 
0.5%
24 1
 
0.5%
22 1
 
0.5%
ValueCountFrequency (%)
0 97
48.7%
1 6
 
3.0%
2 83
41.7%
3 2
 
1.0%
4 6
 
3.0%
6 1
 
0.5%
22 1
 
0.5%
24 1
 
0.5%
26 1
 
0.5%
41 1
 
0.5%
ValueCountFrequency (%)
41 1
 
0.5%
26 1
 
0.5%
24 1
 
0.5%
22 1
 
0.5%
6 1
 
0.5%
4 6
 
3.0%
3 2
 
1.0%
2 83
41.7%
1 6
 
3.0%
0 97
48.7%

12.2
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.266332
Minimum10
Maximum441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:07.226807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14
Q124.5
median37
Q373
95-th percentile189.1
Maximum441
Range431
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation63.675189
Coefficient of variation (CV)1.0565632
Kurtosis11.989971
Mean60.266332
Median Absolute Deviation (MAD)17
Skewness3.063815
Sum11993
Variance4054.5297
MonotonicityNot monotonic
2023-12-10T15:26:07.487409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 8
 
4.0%
20 6
 
3.0%
22 6
 
3.0%
31 6
 
3.0%
28 6
 
3.0%
37 6
 
3.0%
30 5
 
2.5%
29 5
 
2.5%
14 5
 
2.5%
19 5
 
2.5%
Other values (81) 141
70.9%
ValueCountFrequency (%)
10 2
 
1.0%
11 1
 
0.5%
12 1
 
0.5%
13 2
 
1.0%
14 5
2.5%
15 4
2.0%
16 2
 
1.0%
18 8
4.0%
19 5
2.5%
20 6
3.0%
ValueCountFrequency (%)
441 1
0.5%
381 1
0.5%
363 1
0.5%
286 1
0.5%
244 1
0.5%
242 1
0.5%
224 1
0.5%
191 2
1.0%
190 1
0.5%
189 1
0.5%

13
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.738693
Minimum10
Maximum564
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:07.733902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15.9
Q125.5
median40
Q377.5
95-th percentile275.1
Maximum564
Range554
Interquartile range (IQR)52

Descriptive statistics

Standard deviation92.815185
Coefficient of variation (CV)1.258704
Kurtosis11.154855
Mean73.738693
Median Absolute Deviation (MAD)18
Skewness3.1205968
Sum14674
Variance8614.6586
MonotonicityNot monotonic
2023-12-10T15:26:07.980620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 8
 
4.0%
31 7
 
3.5%
19 6
 
3.0%
40 6
 
3.0%
39 6
 
3.0%
32 6
 
3.0%
15 5
 
2.5%
45 5
 
2.5%
20 5
 
2.5%
16 5
 
2.5%
Other values (88) 140
70.4%
ValueCountFrequency (%)
10 2
 
1.0%
12 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
15 5
2.5%
16 5
2.5%
17 1
 
0.5%
18 4
2.0%
19 6
3.0%
20 5
2.5%
ValueCountFrequency (%)
564 1
0.5%
555 1
0.5%
529 1
0.5%
428 1
0.5%
396 1
0.5%
351 1
0.5%
301 1
0.5%
291 1
0.5%
288 1
0.5%
276 1
0.5%

2.21
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.683417
Minimum2
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:08.195532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q313
95-th percentile46.4
Maximum116
Range114
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.801133
Coefficient of variation (CV)1.3246535
Kurtosis12.825133
Mean12.683417
Median Absolute Deviation (MAD)3
Skewness3.2724402
Sum2524
Variance282.27806
MonotonicityNot monotonic
2023-12-10T15:26:08.456091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3 26
13.1%
5 25
12.6%
6 24
12.1%
4 19
 
9.5%
2 12
 
6.0%
8 11
 
5.5%
7 9
 
4.5%
12 6
 
3.0%
10 6
 
3.0%
13 5
 
2.5%
Other values (31) 56
28.1%
ValueCountFrequency (%)
2 12
6.0%
3 26
13.1%
4 19
9.5%
5 25
12.6%
6 24
12.1%
7 9
 
4.5%
8 11
5.5%
9 4
 
2.0%
10 6
 
3.0%
11 4
 
2.0%
ValueCountFrequency (%)
116 1
0.5%
92 1
0.5%
87 1
0.5%
85 1
0.5%
70 1
0.5%
63 1
0.5%
57 1
0.5%
51 1
0.5%
50 2
1.0%
46 1
0.5%

2.22
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.733668
Minimum2
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:08.692138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q315
95-th percentile33
Maximum111
Range109
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.192558
Coefficient of variation (CV)1.2095585
Kurtosis19.181689
Mean11.733668
Median Absolute Deviation (MAD)3
Skewness3.8426018
Sum2335
Variance201.42871
MonotonicityNot monotonic
2023-12-10T15:26:08.913381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 25
12.6%
4 21
 
10.6%
5 20
 
10.1%
3 19
 
9.5%
7 17
 
8.5%
8 13
 
6.5%
2 11
 
5.5%
18 7
 
3.5%
17 7
 
3.5%
9 5
 
2.5%
Other values (26) 54
27.1%
ValueCountFrequency (%)
2 11
5.5%
3 19
9.5%
4 21
10.6%
5 20
10.1%
6 25
12.6%
7 17
8.5%
8 13
6.5%
9 5
 
2.5%
10 4
 
2.0%
11 3
 
1.5%
ValueCountFrequency (%)
111 1
 
0.5%
87 1
 
0.5%
83 1
 
0.5%
65 1
 
0.5%
61 1
 
0.5%
48 1
 
0.5%
36 3
1.5%
33 2
1.0%
30 2
1.0%
29 1
 
0.5%

2.23
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.346734
Minimum2
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:09.129118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median7
Q315
95-th percentile43
Maximum118
Range116
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.524741
Coefficient of variation (CV)1.3130359
Kurtosis14.719678
Mean13.346734
Median Absolute Deviation (MAD)3
Skewness3.5058838
Sum2656
Variance307.11654
MonotonicityNot monotonic
2023-12-10T15:26:09.540788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
5 25
12.6%
3 22
 
11.1%
4 19
 
9.5%
7 17
 
8.5%
6 16
 
8.0%
8 9
 
4.5%
9 9
 
4.5%
2 8
 
4.0%
11 8
 
4.0%
10 7
 
3.5%
Other values (34) 59
29.6%
ValueCountFrequency (%)
2 8
 
4.0%
3 22
11.1%
4 19
9.5%
5 25
12.6%
6 16
8.0%
7 17
8.5%
8 9
 
4.5%
9 9
 
4.5%
10 7
 
3.5%
11 8
 
4.0%
ValueCountFrequency (%)
118 1
0.5%
108 1
0.5%
103 1
0.5%
81 1
0.5%
78 1
0.5%
63 1
0.5%
55 1
0.5%
54 1
0.5%
52 1
0.5%
43 2
1.0%

2.24
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.045226
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:09.990239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median7
Q313
95-th percentile31.4
Maximum70
Range68
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.721213
Coefficient of variation (CV)1.0612017
Kurtosis10.511288
Mean11.045226
Median Absolute Deviation (MAD)3
Skewness3.0172585
Sum2198
Variance137.38683
MonotonicityNot monotonic
2023-12-10T15:26:10.194504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 26
13.1%
6 22
11.1%
8 22
11.1%
5 18
 
9.0%
3 16
 
8.0%
7 16
 
8.0%
9 8
 
4.0%
2 7
 
3.5%
10 6
 
3.0%
11 5
 
2.5%
Other values (25) 53
26.6%
ValueCountFrequency (%)
2 7
 
3.5%
3 16
8.0%
4 26
13.1%
5 18
9.0%
6 22
11.1%
7 16
8.0%
8 22
11.1%
9 8
 
4.0%
10 6
 
3.0%
11 5
 
2.5%
ValueCountFrequency (%)
70 1
0.5%
67 1
0.5%
64 1
0.5%
62 1
0.5%
60 1
0.5%
57 1
0.5%
37 2
1.0%
36 1
0.5%
35 1
0.5%
31 1
0.5%

3.15
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.236181
Minimum3
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:10.406380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median9
Q313
95-th percentile27
Maximum39
Range36
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.3015494
Coefficient of variation (CV)0.64982484
Kurtosis2.0948462
Mean11.236181
Median Absolute Deviation (MAD)3
Skewness1.5392316
Sum2236
Variance53.312624
MonotonicityNot monotonic
2023-12-10T15:26:10.621174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
6 22
11.1%
11 17
 
8.5%
8 17
 
8.5%
9 16
 
8.0%
7 16
 
8.0%
4 14
 
7.0%
5 14
 
7.0%
12 11
 
5.5%
10 10
 
5.0%
13 9
 
4.5%
Other values (21) 53
26.6%
ValueCountFrequency (%)
3 7
 
3.5%
4 14
7.0%
5 14
7.0%
6 22
11.1%
7 16
8.0%
8 17
8.5%
9 16
8.0%
10 10
5.0%
11 17
8.5%
12 11
5.5%
ValueCountFrequency (%)
39 1
 
0.5%
35 2
 
1.0%
34 1
 
0.5%
33 1
 
0.5%
30 2
 
1.0%
29 2
 
1.0%
27 3
1.5%
26 1
 
0.5%
25 1
 
0.5%
24 5
2.5%

2.25
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.487437
Minimum2
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:10.917915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q315
95-th percentile81.3
Maximum233
Range231
Interquartile range (IQR)11

Descriptive statistics

Standard deviation33.76207
Coefficient of variation (CV)1.8262169
Kurtosis17.93573
Mean18.487437
Median Absolute Deviation (MAD)4
Skewness3.9851135
Sum3679
Variance1139.8774
MonotonicityNot monotonic
2023-12-10T15:26:11.155692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 25
12.6%
4 23
 
11.6%
6 22
 
11.1%
5 19
 
9.5%
7 14
 
7.0%
10 9
 
4.5%
2 8
 
4.0%
8 8
 
4.0%
15 6
 
3.0%
11 4
 
2.0%
Other values (41) 61
30.7%
ValueCountFrequency (%)
2 8
 
4.0%
3 25
12.6%
4 23
11.6%
5 19
9.5%
6 22
11.1%
7 14
7.0%
8 8
 
4.0%
9 3
 
1.5%
10 9
 
4.5%
11 4
 
2.0%
ValueCountFrequency (%)
233 1
0.5%
197 1
0.5%
190 1
0.5%
187 1
0.5%
132 1
0.5%
104 1
0.5%
103 1
0.5%
102 1
0.5%
96 1
0.5%
93 1
0.5%

2.26
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.944724
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:11.384835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q316
95-th percentile42.3
Maximum133
Range132
Interquartile range (IQR)12

Descriptive statistics

Standard deviation17.908351
Coefficient of variation (CV)1.383448
Kurtosis18.255095
Mean12.944724
Median Absolute Deviation (MAD)3
Skewness3.8168843
Sum2576
Variance320.70905
MonotonicityNot monotonic
2023-12-10T15:26:11.610822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3 26
13.1%
4 25
12.6%
5 20
 
10.1%
7 17
 
8.5%
6 15
 
7.5%
2 12
 
6.0%
19 8
 
4.0%
8 6
 
3.0%
25 5
 
2.5%
10 5
 
2.5%
Other values (32) 60
30.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 12
6.0%
3 26
13.1%
4 25
12.6%
5 20
10.1%
6 15
7.5%
7 17
8.5%
8 6
 
3.0%
9 3
 
1.5%
10 5
 
2.5%
ValueCountFrequency (%)
133 1
0.5%
111 1
0.5%
106 1
0.5%
77 1
0.5%
75 1
0.5%
55 1
0.5%
54 1
0.5%
50 1
0.5%
48 1
0.5%
45 1
0.5%

2.27
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.311558
Minimum2
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:11.814874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q315
95-th percentile57.1
Maximum163
Range161
Interquartile range (IQR)11

Descriptive statistics

Standard deviation23.570085
Coefficient of variation (CV)1.5393656
Kurtosis15.979265
Mean15.311558
Median Absolute Deviation (MAD)4
Skewness3.7220564
Sum3047
Variance555.54891
MonotonicityNot monotonic
2023-12-10T15:26:12.020748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
3 29
14.6%
5 20
 
10.1%
4 19
 
9.5%
7 18
 
9.0%
6 14
 
7.0%
2 9
 
4.5%
11 7
 
3.5%
8 7
 
3.5%
9 7
 
3.5%
12 6
 
3.0%
Other values (37) 63
31.7%
ValueCountFrequency (%)
2 9
 
4.5%
3 29
14.6%
4 19
9.5%
5 20
10.1%
6 14
7.0%
7 18
9.0%
8 7
 
3.5%
9 7
 
3.5%
10 3
 
1.5%
11 7
 
3.5%
ValueCountFrequency (%)
163 1
0.5%
141 1
0.5%
124 1
0.5%
118 1
0.5%
103 1
0.5%
99 1
0.5%
83 1
0.5%
61 1
0.5%
58 2
1.0%
57 1
0.5%

220579
Real number (ℝ)

Distinct195
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168965.97
Minimum13603
Maximum418975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:12.261042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13603
5-th percentile14791.1
Q128437
median219627
Q3220738.5
95-th percentile353383.2
Maximum418975
Range405372
Interquartile range (IQR)192301.5

Descriptive statistics

Standard deviation108918.1
Coefficient of variation (CV)0.64461562
Kurtosis-0.89628537
Mean168965.97
Median Absolute Deviation (MAD)3738
Skewness-0.26692998
Sum33624228
Variance1.1863153 × 1010
MonotonicityNot monotonic
2023-12-10T15:26:12.498700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
220752 2
 
1.0%
219910 2
 
1.0%
221062 2
 
1.0%
220126 2
 
1.0%
16912 1
 
0.5%
167340 1
 
0.5%
15359 1
 
0.5%
220862 1
 
0.5%
17424 1
 
0.5%
220348 1
 
0.5%
Other values (185) 185
93.0%
ValueCountFrequency (%)
13603 1
0.5%
13709 1
0.5%
14122 1
0.5%
14455 1
0.5%
14458 1
0.5%
14459 1
0.5%
14575 1
0.5%
14669 1
0.5%
14692 1
0.5%
14702 1
0.5%
ValueCountFrequency (%)
418975 1
0.5%
417698 1
0.5%
415872 1
0.5%
413781 1
0.5%
360763 1
0.5%
360711 1
0.5%
358026 1
0.5%
356402 1
0.5%
355622 1
0.5%
353430 1
0.5%

0.10
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4120603
Minimum0
Maximum32
Zeros94
Zeros (%)47.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:12.705018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2754143
Coefficient of variation (CV)2.3195994
Kurtosis51.078152
Mean1.4120603
Median Absolute Deviation (MAD)1
Skewness6.6367394
Sum281
Variance10.728339
MonotonicityNot monotonic
2023-12-10T15:26:12.901846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 94
47.2%
2 80
40.2%
1 17
 
8.5%
3 2
 
1.0%
32 1
 
0.5%
16 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
19 1
 
0.5%
22 1
 
0.5%
ValueCountFrequency (%)
0 94
47.2%
1 17
 
8.5%
2 80
40.2%
3 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%
16 1
 
0.5%
19 1
 
0.5%
22 1
 
0.5%
32 1
 
0.5%
ValueCountFrequency (%)
32 1
 
0.5%
22 1
 
0.5%
19 1
 
0.5%
16 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 2
 
1.0%
2 80
40.2%
1 17
 
8.5%
0 94
47.2%

3.16
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.256281
Minimum2
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:13.143130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile46.1
Maximum104
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.082792
Coefficient of variation (CV)1.2132205
Kurtosis11.424745
Mean13.256281
Median Absolute Deviation (MAD)3
Skewness3.148611
Sum2638
Variance258.65621
MonotonicityNot monotonic
2023-12-10T15:26:13.416329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4 25
12.6%
6 22
11.1%
8 21
 
10.6%
7 17
 
8.5%
5 15
 
7.5%
3 15
 
7.5%
9 14
 
7.0%
11 6
 
3.0%
27 5
 
2.5%
14 5
 
2.5%
Other values (31) 54
27.1%
ValueCountFrequency (%)
2 3
 
1.5%
3 15
7.5%
4 25
12.6%
5 15
7.5%
6 22
11.1%
7 17
8.5%
8 21
10.6%
9 14
7.0%
10 5
 
2.5%
11 6
 
3.0%
ValueCountFrequency (%)
104 1
0.5%
92 1
0.5%
87 1
0.5%
80 1
0.5%
69 1
0.5%
60 1
0.5%
59 1
0.5%
56 1
0.5%
55 1
0.5%
47 1
0.5%

4.15
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.904523
Minimum3
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:13.665637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q316
95-th percentile35.1
Maximum52
Range49
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.6455323
Coefficient of variation (CV)0.69369748
Kurtosis2.8259636
Mean13.904523
Median Absolute Deviation (MAD)4
Skewness1.687889
Sum2767
Variance93.036293
MonotonicityNot monotonic
2023-12-10T15:26:13.904679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 15
 
7.5%
9 14
 
7.0%
10 14
 
7.0%
6 14
 
7.0%
13 13
 
6.5%
11 12
 
6.0%
14 12
 
6.0%
5 12
 
6.0%
8 12
 
6.0%
12 11
 
5.5%
Other values (30) 70
35.2%
ValueCountFrequency (%)
3 4
 
2.0%
4 7
3.5%
5 12
6.0%
6 14
7.0%
7 15
7.5%
8 12
6.0%
9 14
7.0%
10 14
7.0%
11 12
6.0%
12 11
5.5%
ValueCountFrequency (%)
52 1
 
0.5%
51 1
 
0.5%
47 1
 
0.5%
45 1
 
0.5%
43 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 3
1.5%
35 1
 
0.5%
34 1
 
0.5%

33
Real number (ℝ)

Distinct121
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.77387
Minimum15
Maximum374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:14.123487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile34.8
Q155.5
median86
Q3127.5
95-th percentile240.8
Maximum374
Range359
Interquartile range (IQR)72

Descriptive statistics

Standard deviation68.395346
Coefficient of variation (CV)0.65279011
Kurtosis3.0259035
Mean104.77387
Median Absolute Deviation (MAD)33
Skewness1.6649188
Sum20850
Variance4677.9234
MonotonicityNot monotonic
2023-12-10T15:26:14.361655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 4
 
2.0%
49 4
 
2.0%
40 4
 
2.0%
100 4
 
2.0%
116 4
 
2.0%
61 4
 
2.0%
85 4
 
2.0%
55 3
 
1.5%
98 3
 
1.5%
66 3
 
1.5%
Other values (111) 162
81.4%
ValueCountFrequency (%)
15 1
0.5%
23 1
0.5%
26 2
1.0%
27 1
0.5%
28 1
0.5%
30 1
0.5%
32 1
0.5%
33 2
1.0%
35 2
1.0%
37 1
0.5%
ValueCountFrequency (%)
374 1
0.5%
364 1
0.5%
339 2
1.0%
299 1
0.5%
297 1
0.5%
290 1
0.5%
287 1
0.5%
265 1
0.5%
248 1
0.5%
240 1
0.5%

36
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.49749
Minimum17
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:14.605212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile38
Q160.5
median95
Q3140
95-th percentile268.8
Maximum551
Range534
Interquartile range (IQR)79.5

Descriptive statistics

Standard deviation86.541744
Coefficient of variation (CV)0.72421392
Kurtosis6.1366607
Mean119.49749
Median Absolute Deviation (MAD)38
Skewness2.1426407
Sum23780
Variance7489.4735
MonotonicityNot monotonic
2023-12-10T15:26:14.849395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88 5
 
2.5%
43 5
 
2.5%
41 4
 
2.0%
109 4
 
2.0%
58 4
 
2.0%
61 4
 
2.0%
124 4
 
2.0%
77 3
 
1.5%
87 3
 
1.5%
140 3
 
1.5%
Other values (112) 160
80.4%
ValueCountFrequency (%)
17 1
 
0.5%
28 1
 
0.5%
29 2
 
1.0%
33 2
 
1.0%
37 3
1.5%
38 2
 
1.0%
40 1
 
0.5%
41 4
2.0%
43 5
2.5%
44 1
 
0.5%
ValueCountFrequency (%)
551 1
0.5%
542 1
0.5%
403 1
0.5%
400 1
0.5%
378 1
0.5%
375 1
0.5%
322 1
0.5%
312 1
0.5%
299 1
0.5%
276 1
0.5%

5.6
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.105528
Minimum4
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:15.522309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median16
Q323.5
95-th percentile46
Maximum68
Range64
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation12.56715
Coefficient of variation (CV)0.65777559
Kurtosis2.3785144
Mean19.105528
Median Absolute Deviation (MAD)7
Skewness1.5166988
Sum3802
Variance157.93325
MonotonicityNot monotonic
2023-12-10T15:26:15.738704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
8 15
 
7.5%
17 14
 
7.0%
14 11
 
5.5%
9 10
 
5.0%
16 10
 
5.0%
13 10
 
5.0%
6 9
 
4.5%
11 9
 
4.5%
15 9
 
4.5%
12 8
 
4.0%
Other values (34) 94
47.2%
ValueCountFrequency (%)
4 2
 
1.0%
5 3
 
1.5%
6 9
4.5%
7 7
3.5%
8 15
7.5%
9 10
5.0%
10 6
 
3.0%
11 9
4.5%
12 8
4.0%
13 10
5.0%
ValueCountFrequency (%)
68 2
1.0%
64 1
 
0.5%
57 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
47 3
1.5%
46 2
1.0%
45 1
 
0.5%
41 2
1.0%
40 1
 
0.5%

6.6
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.502513
Minimum3
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:15.965821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median16
Q323
95-th percentile46.1
Maximum73
Range70
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.369222
Coefficient of variation (CV)0.68551282
Kurtosis3.2402616
Mean19.502513
Median Absolute Deviation (MAD)6
Skewness1.7061793
Sum3881
Variance178.7361
MonotonicityNot monotonic
2023-12-10T15:26:16.203194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
10 12
 
6.0%
18 12
 
6.0%
11 11
 
5.5%
16 11
 
5.5%
8 10
 
5.0%
13 10
 
5.0%
19 9
 
4.5%
7 9
 
4.5%
14 8
 
4.0%
23 8
 
4.0%
Other values (35) 99
49.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
5 5
2.5%
6 7
3.5%
7 9
4.5%
8 10
5.0%
9 6
3.0%
10 12
6.0%
11 11
5.5%
12 6
3.0%
ValueCountFrequency (%)
73 2
1.0%
69 1
 
0.5%
65 1
 
0.5%
55 1
 
0.5%
54 1
 
0.5%
52 1
 
0.5%
50 2
1.0%
47 1
 
0.5%
46 3
1.5%
45 1
 
0.5%

6.7
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.507538
Minimum3
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:16.444633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q110
median16
Q327
95-th percentile51.5
Maximum107
Range104
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.310085
Coefficient of variation (CV)0.75834275
Kurtosis7.0034768
Mean21.507538
Median Absolute Deviation (MAD)7
Skewness2.2765031
Sum4280
Variance266.01888
MonotonicityNot monotonic
2023-12-10T15:26:16.690956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
10 13
 
6.5%
15 13
 
6.5%
13 12
 
6.0%
8 9
 
4.5%
14 9
 
4.5%
20 8
 
4.0%
11 7
 
3.5%
18 7
 
3.5%
7 7
 
3.5%
Other values (41) 100
50.3%
ValueCountFrequency (%)
3 1
 
0.5%
5 4
 
2.0%
6 3
 
1.5%
7 7
3.5%
8 9
4.5%
9 14
7.0%
10 13
6.5%
11 7
3.5%
12 5
 
2.5%
13 12
6.0%
ValueCountFrequency (%)
107 1
0.5%
101 1
0.5%
76 2
1.0%
74 1
0.5%
65 1
0.5%
64 1
0.5%
57 1
0.5%
56 2
1.0%
51 2
1.0%
47 2
1.0%

6.8
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.954774
Minimum3
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:17.209517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q111
median16
Q323
95-th percentile49.3
Maximum117
Range114
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.143854
Coefficient of variation (CV)0.75890885
Kurtosis11.159265
Mean19.954774
Median Absolute Deviation (MAD)6
Skewness2.7706325
Sum3971
Variance229.33633
MonotonicityNot monotonic
2023-12-10T15:26:17.546103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 14
 
7.0%
8 12
 
6.0%
10 12
 
6.0%
11 10
 
5.0%
22 10
 
5.0%
12 9
 
4.5%
20 9
 
4.5%
13 8
 
4.0%
21 8
 
4.0%
23 8
 
4.0%
Other values (40) 99
49.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
5 4
 
2.0%
6 5
2.5%
7 6
3.0%
8 12
6.0%
9 7
3.5%
10 12
6.0%
11 10
5.0%
12 9
4.5%
ValueCountFrequency (%)
117 1
0.5%
91 1
0.5%
67 2
1.0%
65 1
0.5%
64 1
0.5%
59 1
0.5%
57 1
0.5%
55 1
0.5%
52 1
0.5%
49 1
0.5%

9.2
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.125628
Minimum2
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:17.912589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q113
median20
Q330
95-th percentile63.3
Maximum107
Range105
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.453525
Coefficient of variation (CV)0.72344336
Kurtosis5.0856997
Mean24.125628
Median Absolute Deviation (MAD)9
Skewness1.9932581
Sum4801
Variance304.62555
MonotonicityNot monotonic
2023-12-10T15:26:18.210898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 11
 
5.5%
20 10
 
5.0%
22 10
 
5.0%
8 9
 
4.5%
6 8
 
4.0%
30 8
 
4.0%
17 8
 
4.0%
29 8
 
4.0%
11 7
 
3.5%
14 7
 
3.5%
Other values (43) 113
56.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
2.0%
4 2
 
1.0%
6 8
4.0%
7 1
 
0.5%
8 9
4.5%
9 5
2.5%
10 5
2.5%
11 7
3.5%
12 4
2.0%
ValueCountFrequency (%)
107 1
0.5%
96 1
0.5%
89 1
0.5%
82 1
0.5%
79 1
0.5%
74 1
0.5%
71 1
0.5%
67 1
0.5%
66 2
1.0%
63 1
0.5%

6.9
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.241206
Minimum4
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:18.462088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q111
median16
Q327.5
95-th percentile59
Maximum117
Range113
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation17.324651
Coefficient of variation (CV)0.77894388
Kurtosis6.0933901
Mean22.241206
Median Absolute Deviation (MAD)7
Skewness2.1410667
Sum4426
Variance300.14355
MonotonicityNot monotonic
2023-12-10T15:26:18.740683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 13
 
6.5%
9 12
 
6.0%
8 12
 
6.0%
12 10
 
5.0%
13 9
 
4.5%
10 9
 
4.5%
18 9
 
4.5%
26 8
 
4.0%
15 8
 
4.0%
7 8
 
4.0%
Other values (46) 101
50.8%
ValueCountFrequency (%)
4 1
 
0.5%
6 7
3.5%
7 8
4.0%
8 12
6.0%
9 12
6.0%
10 9
4.5%
11 7
3.5%
12 10
5.0%
13 9
4.5%
14 5
2.5%
ValueCountFrequency (%)
117 1
0.5%
97 1
0.5%
75 1
0.5%
71 1
0.5%
69 1
0.5%
68 1
0.5%
67 1
0.5%
63 1
0.5%
62 1
0.5%
59 2
1.0%

0.11
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3266332
Minimum0
Maximum30
Zeros99
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:19.015184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile2
Maximum30
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9402886
Coefficient of variation (CV)2.2163539
Kurtosis58.976485
Mean1.3266332
Median Absolute Deviation (MAD)1
Skewness7.0086562
Sum264
Variance8.6452972
MonotonicityNot monotonic
2023-12-10T15:26:19.196300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 99
49.7%
2 85
42.7%
1 8
 
4.0%
3 2
 
1.0%
30 1
 
0.5%
10 1
 
0.5%
4 1
 
0.5%
14 1
 
0.5%
22 1
 
0.5%
ValueCountFrequency (%)
0 99
49.7%
1 8
 
4.0%
2 85
42.7%
3 2
 
1.0%
4 1
 
0.5%
10 1
 
0.5%
14 1
 
0.5%
22 1
 
0.5%
30 1
 
0.5%
ValueCountFrequency (%)
30 1
 
0.5%
22 1
 
0.5%
14 1
 
0.5%
10 1
 
0.5%
4 1
 
0.5%
3 2
 
1.0%
2 85
42.7%
1 8
 
4.0%
0 99
49.7%

5.7
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.482412
Minimum3
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:19.435971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median15
Q326
95-th percentile53
Maximum79
Range76
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.612364
Coefficient of variation (CV)0.76223267
Kurtosis2.1963472
Mean20.482412
Median Absolute Deviation (MAD)6
Skewness1.5813534
Sum4076
Variance243.7459
MonotonicityNot monotonic
2023-12-10T15:26:19.678129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 14
 
7.0%
7 14
 
7.0%
15 10
 
5.0%
8 10
 
5.0%
14 10
 
5.0%
10 9
 
4.5%
16 9
 
4.5%
11 9
 
4.5%
20 8
 
4.0%
19 8
 
4.0%
Other values (41) 98
49.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 3
 
1.5%
5 4
 
2.0%
6 8
4.0%
7 14
7.0%
8 10
5.0%
9 8
4.0%
10 9
4.5%
11 9
4.5%
12 14
7.0%
ValueCountFrequency (%)
79 1
 
0.5%
76 1
 
0.5%
70 1
 
0.5%
69 2
1.0%
68 1
 
0.5%
57 1
 
0.5%
55 1
 
0.5%
53 3
1.5%
52 1
 
0.5%
51 2
1.0%

6.10
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.874372
Minimum4
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:19.926065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.9
Q110.5
median17
Q331
95-th percentile58.5
Maximum303
Range299
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation30.659408
Coefficient of variation (CV)1.2325701
Kurtosis46.906921
Mean24.874372
Median Absolute Deviation (MAD)8
Skewness5.9745832
Sum4950
Variance939.99929
MonotonicityNot monotonic
2023-12-10T15:26:20.172579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 17
 
8.5%
8 11
 
5.5%
13 11
 
5.5%
12 9
 
4.5%
19 9
 
4.5%
11 9
 
4.5%
16 8
 
4.0%
17 8
 
4.0%
14 7
 
3.5%
10 7
 
3.5%
Other values (46) 103
51.8%
ValueCountFrequency (%)
4 3
 
1.5%
5 1
 
0.5%
6 6
 
3.0%
7 5
 
2.5%
8 11
5.5%
9 17
8.5%
10 7
3.5%
11 9
4.5%
12 9
4.5%
13 11
5.5%
ValueCountFrequency (%)
303 1
0.5%
246 1
0.5%
100 1
0.5%
91 1
0.5%
88 1
0.5%
83 1
0.5%
69 2
1.0%
66 1
0.5%
63 1
0.5%
58 2
1.0%

7.3
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.844221
Minimum4
Maximum158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:20.387992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q112
median18
Q325
95-th percentile51.5
Maximum158
Range154
Interquartile range (IQR)13

Descriptive statistics

Standard deviation18.729894
Coefficient of variation (CV)0.81989639
Kurtosis20.85912
Mean22.844221
Median Absolute Deviation (MAD)7
Skewness3.7323743
Sum4546
Variance350.80894
MonotonicityNot monotonic
2023-12-10T15:26:20.655610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 11
 
5.5%
22 10
 
5.0%
13 10
 
5.0%
16 9
 
4.5%
18 9
 
4.5%
12 9
 
4.5%
10 8
 
4.0%
14 8
 
4.0%
20 8
 
4.0%
9 8
 
4.0%
Other values (43) 109
54.8%
ValueCountFrequency (%)
4 1
 
0.5%
5 1
 
0.5%
6 5
2.5%
7 4
 
2.0%
8 7
3.5%
9 8
4.0%
10 8
4.0%
11 11
5.5%
12 9
4.5%
13 10
5.0%
ValueCountFrequency (%)
158 1
 
0.5%
141 1
 
0.5%
75 1
 
0.5%
74 1
 
0.5%
68 2
1.0%
63 1
 
0.5%
59 1
 
0.5%
56 2
1.0%
51 3
1.5%
50 1
 
0.5%

11.1
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.61809
Minimum3
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:20.936884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile8
Q115
median25
Q337
95-th percentile75.1
Maximum123
Range120
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20.776222
Coefficient of variation (CV)0.70147067
Kurtosis4.5934079
Mean29.61809
Median Absolute Deviation (MAD)11
Skewness1.9089422
Sum5894
Variance431.65139
MonotonicityNot monotonic
2023-12-10T15:26:21.181802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 8
 
4.0%
15 7
 
3.5%
18 7
 
3.5%
39 7
 
3.5%
24 6
 
3.0%
29 6
 
3.0%
12 6
 
3.0%
13 6
 
3.0%
26 6
 
3.0%
25 6
 
3.0%
Other values (50) 134
67.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 1
 
0.5%
5 5
2.5%
7 1
 
0.5%
8 4
2.0%
9 3
1.5%
10 4
2.0%
11 6
3.0%
12 6
3.0%
13 6
3.0%
ValueCountFrequency (%)
123 1
0.5%
117 1
0.5%
103 1
0.5%
100 1
0.5%
95 1
0.5%
92 1
0.5%
84 1
0.5%
80 2
1.0%
76 1
0.5%
75 1
0.5%

19.2
Real number (ℝ)

Distinct110
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.939698
Minimum14
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:21.416266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile23
Q137.5
median59
Q399
95-th percentile214.5
Maximum348
Range334
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation61.935013
Coefficient of variation (CV)0.78458639
Kurtosis4.5737958
Mean78.939698
Median Absolute Deviation (MAD)25
Skewness1.9859521
Sum15709
Variance3835.9458
MonotonicityNot monotonic
2023-12-10T15:26:21.665777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 6
 
3.0%
32 5
 
2.5%
49 5
 
2.5%
45 5
 
2.5%
47 5
 
2.5%
30 4
 
2.0%
72 4
 
2.0%
24 4
 
2.0%
58 4
 
2.0%
68 4
 
2.0%
Other values (100) 153
76.9%
ValueCountFrequency (%)
14 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
18 1
 
0.5%
20 1
 
0.5%
21 1
 
0.5%
22 2
1.0%
23 3
1.5%
24 4
2.0%
25 2
1.0%
ValueCountFrequency (%)
348 1
0.5%
335 1
0.5%
334 1
0.5%
312 1
0.5%
234 1
0.5%
221 2
1.0%
220 2
1.0%
219 1
0.5%
214 1
0.5%
213 1
0.5%

21.2
Real number (ℝ)

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.944724
Minimum17
Maximum455
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:21.919523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile25
Q138
median62
Q3109
95-th percentile245.2
Maximum455
Range438
Interquartile range (IQR)71

Descriptive statistics

Standard deviation81.989356
Coefficient of variation (CV)0.90152955
Kurtosis5.7502753
Mean90.944724
Median Absolute Deviation (MAD)28
Skewness2.2677908
Sum18098
Variance6722.2545
MonotonicityNot monotonic
2023-12-10T15:26:22.140637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 6
 
3.0%
36 6
 
3.0%
31 5
 
2.5%
64 5
 
2.5%
34 5
 
2.5%
45 4
 
2.0%
52 4
 
2.0%
50 4
 
2.0%
49 4
 
2.0%
40 4
 
2.0%
Other values (103) 152
76.4%
ValueCountFrequency (%)
17 2
 
1.0%
18 1
 
0.5%
19 1
 
0.5%
22 2
 
1.0%
23 1
 
0.5%
24 2
 
1.0%
25 6
3.0%
26 1
 
0.5%
28 2
 
1.0%
29 2
 
1.0%
ValueCountFrequency (%)
455 1
0.5%
428 2
1.0%
405 1
0.5%
366 1
0.5%
359 1
0.5%
350 1
0.5%
295 1
0.5%
267 1
0.5%
265 1
0.5%
243 1
0.5%

3.17
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.633166
Minimum3
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:22.408997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q320
95-th percentile56.3
Maximum162
Range159
Interquartile range (IQR)13

Descriptive statistics

Standard deviation20.423326
Coefficient of variation (CV)1.1582336
Kurtosis15.493714
Mean17.633166
Median Absolute Deviation (MAD)5
Skewness3.3550702
Sum3509
Variance417.11223
MonotonicityNot monotonic
2023-12-10T15:26:22.649535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5 19
 
9.5%
10 17
 
8.5%
7 14
 
7.0%
9 14
 
7.0%
8 13
 
6.5%
4 12
 
6.0%
6 10
 
5.0%
12 8
 
4.0%
11 7
 
3.5%
13 7
 
3.5%
Other values (38) 78
39.2%
ValueCountFrequency (%)
3 7
 
3.5%
4 12
6.0%
5 19
9.5%
6 10
5.0%
7 14
7.0%
8 13
6.5%
9 14
7.0%
10 17
8.5%
11 7
 
3.5%
12 8
4.0%
ValueCountFrequency (%)
162 1
0.5%
103 1
0.5%
99 1
0.5%
93 1
0.5%
77 1
0.5%
76 1
0.5%
69 2
1.0%
64 1
0.5%
59 1
0.5%
56 1
0.5%

3.18
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.331658
Minimum3
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:23.413142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q321
95-th percentile40.2
Maximum81
Range78
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.081738
Coefficient of variation (CV)0.85325004
Kurtosis6.0653117
Mean15.331658
Median Absolute Deviation (MAD)4
Skewness2.1658506
Sum3051
Variance171.13187
MonotonicityNot monotonic
2023-12-10T15:26:23.634211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 17
 
8.5%
10 16
 
8.0%
8 16
 
8.0%
5 15
 
7.5%
7 12
 
6.0%
11 11
 
5.5%
9 11
 
5.5%
4 10
 
5.0%
14 8
 
4.0%
13 8
 
4.0%
Other values (32) 75
37.7%
ValueCountFrequency (%)
3 5
 
2.5%
4 10
5.0%
5 15
7.5%
6 17
8.5%
7 12
6.0%
8 16
8.0%
9 11
5.5%
10 16
8.0%
11 11
5.5%
12 6
 
3.0%
ValueCountFrequency (%)
81 1
0.5%
76 1
0.5%
66 1
0.5%
62 1
0.5%
49 1
0.5%
46 1
0.5%
45 1
0.5%
43 2
1.0%
42 1
0.5%
40 1
0.5%

4.16
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.477387
Minimum3
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:23.882380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q321
95-th percentile45.2
Maximum95
Range92
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.594555
Coefficient of variation (CV)0.9464216
Kurtosis7.8037021
Mean16.477387
Median Absolute Deviation (MAD)5
Skewness2.5042517
Sum3279
Variance243.19014
MonotonicityNot monotonic
2023-12-10T15:26:24.098949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
9 18
 
9.0%
8 17
 
8.5%
6 16
 
8.0%
5 14
 
7.0%
10 11
 
5.5%
11 11
 
5.5%
4 10
 
5.0%
7 8
 
4.0%
17 7
 
3.5%
14 7
 
3.5%
Other values (36) 80
40.2%
ValueCountFrequency (%)
3 5
 
2.5%
4 10
5.0%
5 14
7.0%
6 16
8.0%
7 8
4.0%
8 17
8.5%
9 18
9.0%
10 11
5.5%
11 11
5.5%
12 7
 
3.5%
ValueCountFrequency (%)
95 1
0.5%
94 1
0.5%
82 1
0.5%
75 1
0.5%
65 1
0.5%
55 1
0.5%
54 1
0.5%
53 1
0.5%
49 1
0.5%
47 1
0.5%

4.17
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.256281
Minimum3
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:24.334202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q316.5
95-th percentile38
Maximum93
Range90
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation12.033188
Coefficient of variation (CV)0.84406221
Kurtosis11.947141
Mean14.256281
Median Absolute Deviation (MAD)4
Skewness2.8643978
Sum2837
Variance144.79762
MonotonicityNot monotonic
2023-12-10T15:26:24.559738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 17
 
8.5%
6 17
 
8.5%
9 15
 
7.5%
13 14
 
7.0%
8 12
 
6.0%
10 12
 
6.0%
5 11
 
5.5%
12 11
 
5.5%
11 10
 
5.0%
4 9
 
4.5%
Other values (31) 71
35.7%
ValueCountFrequency (%)
3 5
 
2.5%
4 9
4.5%
5 11
5.5%
6 17
8.5%
7 17
8.5%
8 12
6.0%
9 15
7.5%
10 12
6.0%
11 10
5.0%
12 11
5.5%
ValueCountFrequency (%)
93 1
 
0.5%
72 1
 
0.5%
57 1
 
0.5%
50 1
 
0.5%
48 1
 
0.5%
46 1
 
0.5%
39 2
1.0%
38 3
1.5%
37 1
 
0.5%
35 1
 
0.5%

0.12
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.160804
Minimum0
Maximum24
Zeros104
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:24.747413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile2
Maximum24
Range24
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5454002
Coefficient of variation (CV)2.1927906
Kurtosis51.931278
Mean1.160804
Median Absolute Deviation (MAD)0
Skewness6.5670276
Sum231
Variance6.479062
MonotonicityNot monotonic
2023-12-10T15:26:24.924376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 104
52.3%
2 68
34.2%
1 20
 
10.1%
3 2
 
1.0%
24 1
 
0.5%
8 1
 
0.5%
4 1
 
0.5%
12 1
 
0.5%
21 1
 
0.5%
ValueCountFrequency (%)
0 104
52.3%
1 20
 
10.1%
2 68
34.2%
3 2
 
1.0%
4 1
 
0.5%
8 1
 
0.5%
12 1
 
0.5%
21 1
 
0.5%
24 1
 
0.5%
ValueCountFrequency (%)
24 1
 
0.5%
21 1
 
0.5%
12 1
 
0.5%
8 1
 
0.5%
4 1
 
0.5%
3 2
 
1.0%
2 68
34.2%
1 20
 
10.1%
0 104
52.3%

5.8
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.979899
Minimum2
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:25.145139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q318
95-th percentile37.2
Maximum63
Range61
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.14489
Coefficient of variation (CV)0.67723349
Kurtosis4.7179581
Mean14.979899
Median Absolute Deviation (MAD)5
Skewness1.925214
Sum2981
Variance102.91879
MonotonicityNot monotonic
2023-12-10T15:26:25.356086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12 14
 
7.0%
6 14
 
7.0%
9 14
 
7.0%
17 12
 
6.0%
10 12
 
6.0%
13 12
 
6.0%
8 11
 
5.5%
7 10
 
5.0%
18 9
 
4.5%
15 8
 
4.0%
Other values (29) 83
41.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 4
 
2.0%
4 3
 
1.5%
5 8
4.0%
6 14
7.0%
7 10
5.0%
8 11
5.5%
9 14
7.0%
10 12
6.0%
11 7
3.5%
ValueCountFrequency (%)
63 1
 
0.5%
56 1
 
0.5%
52 1
 
0.5%
48 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
42 1
 
0.5%
39 3
1.5%
37 1
 
0.5%
34 1
 
0.5%

3.19
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.281407
Minimum3
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:25.616401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q323.5
95-th percentile88.2
Maximum261
Range258
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation37.34363
Coefficient of variation (CV)1.5379516
Kurtosis16.16654
Mean24.281407
Median Absolute Deviation (MAD)5
Skewness3.702123
Sum4832
Variance1394.5467
MonotonicityNot monotonic
2023-12-10T15:26:25.863524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18
 
9.0%
9 16
 
8.0%
4 14
 
7.0%
8 14
 
7.0%
7 13
 
6.5%
6 13
 
6.5%
10 10
 
5.0%
11 8
 
4.0%
12 8
 
4.0%
15 5
 
2.5%
Other values (50) 80
40.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 14
7.0%
5 18
9.0%
6 13
6.5%
7 13
6.5%
8 14
7.0%
9 16
8.0%
10 10
5.0%
11 8
4.0%
12 8
4.0%
ValueCountFrequency (%)
261 1
0.5%
233 1
0.5%
191 1
0.5%
174 1
0.5%
165 1
0.5%
149 1
0.5%
115 1
0.5%
99 1
0.5%
92 1
0.5%
90 1
0.5%

3.20
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.336683
Minimum2
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:26.122386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q321
95-th percentile42.1
Maximum82
Range80
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.860496
Coefficient of variation (CV)0.90374793
Kurtosis4.455882
Mean15.336683
Median Absolute Deviation (MAD)5
Skewness1.9343459
Sum3052
Variance192.11334
MonotonicityNot monotonic
2023-12-10T15:26:26.334798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
7 19
 
9.5%
5 16
 
8.0%
4 15
 
7.5%
6 14
 
7.0%
9 12
 
6.0%
10 11
 
5.5%
8 10
 
5.0%
11 9
 
4.5%
3 9
 
4.5%
12 7
 
3.5%
Other values (37) 77
38.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
4.5%
4 15
7.5%
5 16
8.0%
6 14
7.0%
7 19
9.5%
8 10
5.0%
9 12
6.0%
10 11
5.5%
11 9
4.5%
ValueCountFrequency (%)
82 1
0.5%
70 1
0.5%
69 1
0.5%
59 1
0.5%
57 1
0.5%
51 1
0.5%
48 1
0.5%
46 1
0.5%
45 1
0.5%
43 1
0.5%

4.18
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.105528
Minimum2
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:26.570640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q321.5
95-th percentile50.1
Maximum240
Range238
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation23.832622
Coefficient of variation (CV)1.3163174
Kurtosis41.523171
Mean18.105528
Median Absolute Deviation (MAD)5
Skewness5.3942327
Sum3603
Variance567.99386
MonotonicityNot monotonic
2023-12-10T15:26:26.785903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 21
 
10.6%
7 17
 
8.5%
8 16
 
8.0%
10 13
 
6.5%
6 12
 
6.0%
11 11
 
5.5%
12 10
 
5.0%
4 9
 
4.5%
9 7
 
3.5%
18 7
 
3.5%
Other values (42) 76
38.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 9
4.5%
5 21
10.6%
6 12
6.0%
7 17
8.5%
8 16
8.0%
9 7
 
3.5%
10 13
6.5%
11 11
5.5%
ValueCountFrequency (%)
240 1
0.5%
131 1
0.5%
127 1
0.5%
72 1
0.5%
69 1
0.5%
60 1
0.5%
59 1
0.5%
57 1
0.5%
53 1
0.5%
51 1
0.5%

4.19
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.798995
Minimum3
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:27.032542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17.5
median11
Q318
95-th percentile42.1
Maximum129
Range126
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation14.71582
Coefficient of variation (CV)0.93144025
Kurtosis20.383648
Mean15.798995
Median Absolute Deviation (MAD)4
Skewness3.6494998
Sum3144
Variance216.55535
MonotonicityNot monotonic
2023-12-10T15:26:27.266454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
13 16
 
8.0%
6 16
 
8.0%
10 15
 
7.5%
8 14
 
7.0%
7 12
 
6.0%
11 12
 
6.0%
5 11
 
5.5%
12 10
 
5.0%
9 9
 
4.5%
4 9
 
4.5%
Other values (33) 75
37.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 9
4.5%
5 11
5.5%
6 16
8.0%
7 12
6.0%
8 14
7.0%
9 9
4.5%
10 15
7.5%
11 12
6.0%
12 10
5.0%
ValueCountFrequency (%)
129 1
 
0.5%
88 1
 
0.5%
70 1
 
0.5%
53 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
45 1
 
0.5%
44 2
1.0%
43 1
 
0.5%
42 3
1.5%

7.4
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.638191
Minimum2
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:27.472916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q110
median15
Q322
95-th percentile44.1
Maximum72
Range70
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.206545
Coefficient of variation (CV)0.69205199
Kurtosis4.5056838
Mean17.638191
Median Absolute Deviation (MAD)6
Skewness1.898497
Sum3510
Variance148.99975
MonotonicityNot monotonic
2023-12-10T15:26:27.705986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10 12
 
6.0%
9 11
 
5.5%
17 10
 
5.0%
12 10
 
5.0%
11 10
 
5.0%
8 10
 
5.0%
14 9
 
4.5%
23 9
 
4.5%
6 9
 
4.5%
16 8
 
4.0%
Other values (34) 101
50.8%
ValueCountFrequency (%)
2 2
 
1.0%
3 2
 
1.0%
4 5
2.5%
5 5
2.5%
6 9
4.5%
7 5
2.5%
8 10
5.0%
9 11
5.5%
10 12
6.0%
11 10
5.0%
ValueCountFrequency (%)
72 1
0.5%
69 1
0.5%
61 1
0.5%
59 1
0.5%
56 1
0.5%
54 1
0.5%
49 1
0.5%
47 2
1.0%
45 1
0.5%
44 1
0.5%

21.3
Real number (ℝ)

Distinct96
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.532663
Minimum10
Maximum264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:28.040982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile23
Q138
median55
Q376
95-th percentile149.3
Maximum264
Range254
Interquartile range (IQR)38

Descriptive statistics

Standard deviation42.81246
Coefficient of variation (CV)0.65329956
Kurtosis5.0485162
Mean65.532663
Median Absolute Deviation (MAD)19
Skewness2.0092894
Sum13041
Variance1832.9068
MonotonicityNot monotonic
2023-12-10T15:26:28.352046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 7
 
3.5%
45 5
 
2.5%
32 5
 
2.5%
55 5
 
2.5%
68 5
 
2.5%
49 5
 
2.5%
52 5
 
2.5%
47 4
 
2.0%
34 4
 
2.0%
71 4
 
2.0%
Other values (86) 150
75.4%
ValueCountFrequency (%)
10 1
 
0.5%
15 2
1.0%
18 1
 
0.5%
20 2
1.0%
21 2
1.0%
22 1
 
0.5%
23 3
1.5%
24 1
 
0.5%
25 3
1.5%
26 4
2.0%
ValueCountFrequency (%)
264 1
0.5%
252 1
0.5%
221 1
0.5%
218 1
0.5%
196 1
0.5%
190 1
0.5%
166 1
0.5%
165 1
0.5%
164 1
0.5%
152 1
0.5%

23.2
Real number (ℝ)

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.386935
Minimum10
Maximum295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:28.609003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile23.7
Q137.5
median56
Q383.5
95-th percentile164.1
Maximum295
Range285
Interquartile range (IQR)46

Descriptive statistics

Standard deviation47.608314
Coefficient of variation (CV)0.68612793
Kurtosis4.9320571
Mean69.386935
Median Absolute Deviation (MAD)20
Skewness1.9757684
Sum13808
Variance2266.5515
MonotonicityNot monotonic
2023-12-10T15:26:28.837007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 6
 
3.0%
65 6
 
3.0%
56 5
 
2.5%
37 5
 
2.5%
35 5
 
2.5%
48 5
 
2.5%
87 4
 
2.0%
36 4
 
2.0%
41 4
 
2.0%
38 4
 
2.0%
Other values (89) 151
75.9%
ValueCountFrequency (%)
10 1
 
0.5%
13 1
 
0.5%
16 3
1.5%
18 2
1.0%
21 3
1.5%
24 3
1.5%
26 2
1.0%
27 4
2.0%
28 4
2.0%
29 2
1.0%
ValueCountFrequency (%)
295 1
0.5%
272 1
0.5%
256 1
0.5%
229 1
0.5%
204 1
0.5%
195 1
0.5%
179 1
0.5%
172 1
0.5%
167 1
0.5%
165 1
0.5%

3.21
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.773869
Minimum2
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:29.147784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316.5
95-th percentile27.1
Maximum53
Range51
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation8.3849384
Coefficient of variation (CV)0.65641335
Kurtosis4.4220677
Mean12.773869
Median Absolute Deviation (MAD)5
Skewness1.7991799
Sum2542
Variance70.307193
MonotonicityNot monotonic
2023-12-10T15:26:29.463446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 17
 
8.5%
7 16
 
8.0%
8 15
 
7.5%
11 15
 
7.5%
5 14
 
7.0%
10 12
 
6.0%
9 12
 
6.0%
12 10
 
5.0%
4 9
 
4.5%
14 8
 
4.0%
Other values (24) 71
35.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 9
4.5%
5 14
7.0%
6 17
8.5%
7 16
8.0%
8 15
7.5%
9 12
6.0%
10 12
6.0%
11 15
7.5%
ValueCountFrequency (%)
53 1
0.5%
48 1
0.5%
43 1
0.5%
41 1
0.5%
37 1
0.5%
32 2
1.0%
31 2
1.0%
28 1
0.5%
27 2
1.0%
26 2
1.0%

4.20
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.507538
Minimum2
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:29.696198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314
95-th percentile30
Maximum51
Range49
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.8402599
Coefficient of variation (CV)0.70679459
Kurtosis3.8979314
Mean12.507538
Median Absolute Deviation (MAD)4
Skewness1.860463
Sum2489
Variance78.150195
MonotonicityNot monotonic
2023-12-10T15:26:29.934534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 18
 
9.0%
11 17
 
8.5%
6 16
 
8.0%
9 16
 
8.0%
4 14
 
7.0%
13 13
 
6.5%
8 13
 
6.5%
12 12
 
6.0%
5 12
 
6.0%
14 8
 
4.0%
Other values (25) 60
30.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 14
7.0%
5 12
6.0%
6 16
8.0%
7 18
9.0%
8 13
6.5%
9 16
8.0%
10 7
 
3.5%
11 17
8.5%
ValueCountFrequency (%)
51 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
45 1
 
0.5%
36 1
 
0.5%
34 2
 
1.0%
33 2
 
1.0%
30 2
 
1.0%
29 1
 
0.5%
28 6
3.0%

0.13
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68341709
Minimum0
Maximum15
Zeros144
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:30.114458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8409693
Coefficient of variation (CV)2.6937713
Kurtosis39.236113
Mean0.68341709
Median Absolute Deviation (MAD)0
Skewness5.6997415
Sum136
Variance3.3891681
MonotonicityNot monotonic
2023-12-10T15:26:30.295000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 144
72.4%
2 38
 
19.1%
1 13
 
6.5%
15 2
 
1.0%
7 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
0 144
72.4%
1 13
 
6.5%
2 38
 
19.1%
7 1
 
0.5%
10 1
 
0.5%
15 2
 
1.0%
ValueCountFrequency (%)
15 2
 
1.0%
10 1
 
0.5%
7 1
 
0.5%
2 38
 
19.1%
1 13
 
6.5%
0 144
72.4%

4.21
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.020101
Minimum2
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:30.541262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q315
95-th percentile31
Maximum60
Range58
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.0089517
Coefficient of variation (CV)0.69192643
Kurtosis5.1389763
Mean13.020101
Median Absolute Deviation (MAD)4
Skewness1.9692901
Sum2591
Variance81.16121
MonotonicityNot monotonic
2023-12-10T15:26:30.802130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 24
 
12.1%
7 16
 
8.0%
10 14
 
7.0%
8 14
 
7.0%
12 13
 
6.5%
5 11
 
5.5%
11 11
 
5.5%
15 11
 
5.5%
13 11
 
5.5%
9 9
 
4.5%
Other values (26) 65
32.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 6
 
3.0%
5 11
5.5%
6 24
12.1%
7 16
8.0%
8 14
7.0%
9 9
 
4.5%
10 14
7.0%
11 11
5.5%
ValueCountFrequency (%)
60 1
 
0.5%
49 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
40 1
 
0.5%
36 2
1.0%
33 1
 
0.5%
32 1
 
0.5%
31 2
1.0%
29 3
1.5%

4.22
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.060302
Minimum2
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:31.075615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314.5
95-th percentile31.1
Maximum52
Range50
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation8.4031248
Coefficient of variation (CV)0.6967591
Kurtosis4.7753587
Mean12.060302
Median Absolute Deviation (MAD)4
Skewness2.0046893
Sum2400
Variance70.612507
MonotonicityNot monotonic
2023-12-10T15:26:31.303996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8 29
14.6%
7 17
 
8.5%
5 14
 
7.0%
10 14
 
7.0%
15 14
 
7.0%
11 13
 
6.5%
14 10
 
5.0%
6 10
 
5.0%
13 10
 
5.0%
12 9
 
4.5%
Other values (29) 59
29.6%
ValueCountFrequency (%)
2 5
 
2.5%
3 4
 
2.0%
4 9
 
4.5%
5 14
7.0%
6 10
 
5.0%
7 17
8.5%
8 29
14.6%
9 5
 
2.5%
10 14
7.0%
11 13
6.5%
ValueCountFrequency (%)
52 1
0.5%
45 1
0.5%
41 1
0.5%
39 1
0.5%
38 1
0.5%
37 1
0.5%
36 1
0.5%
35 1
0.5%
33 1
0.5%
32 1
0.5%

6.11
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.758794
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:31.945791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median13
Q319
95-th percentile41.1
Maximum72
Range71
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.81901
Coefficient of variation (CV)0.80081138
Kurtosis4.5919659
Mean14.758794
Median Absolute Deviation (MAD)6
Skewness1.8547922
Sum2937
Variance139.689
MonotonicityNot monotonic
2023-12-10T15:26:32.145066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
13 12
 
6.0%
3 12
 
6.0%
10 11
 
5.5%
2 11
 
5.5%
9 10
 
5.0%
20 10
 
5.0%
11 10
 
5.0%
15 9
 
4.5%
5 8
 
4.0%
7 8
 
4.0%
Other values (32) 98
49.2%
ValueCountFrequency (%)
1 5
2.5%
2 11
5.5%
3 12
6.0%
4 4
 
2.0%
5 8
4.0%
6 7
3.5%
7 8
4.0%
8 7
3.5%
9 10
5.0%
10 11
5.5%
ValueCountFrequency (%)
72 1
0.5%
61 1
0.5%
54 2
1.0%
52 1
0.5%
47 1
0.5%
46 1
0.5%
44 1
0.5%
42 2
1.0%
41 1
0.5%
39 1
0.5%

4.23
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.105528
Minimum4
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:32.367977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q17
median11
Q319
95-th percentile39.1
Maximum63
Range59
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.477423
Coefficient of variation (CV)0.75981607
Kurtosis3.0358603
Mean15.105528
Median Absolute Deviation (MAD)5
Skewness1.732032
Sum3006
Variance131.73123
MonotonicityNot monotonic
2023-12-10T15:26:32.591882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8 21
 
10.6%
5 16
 
8.0%
10 15
 
7.5%
7 14
 
7.0%
6 13
 
6.5%
11 12
 
6.0%
9 10
 
5.0%
13 9
 
4.5%
4 8
 
4.0%
17 6
 
3.0%
Other values (29) 75
37.7%
ValueCountFrequency (%)
4 8
 
4.0%
5 16
8.0%
6 13
6.5%
7 14
7.0%
8 21
10.6%
9 10
5.0%
10 15
7.5%
11 12
6.0%
12 5
 
2.5%
13 9
4.5%
ValueCountFrequency (%)
63 1
0.5%
58 2
1.0%
48 2
1.0%
47 1
0.5%
43 1
0.5%
42 2
1.0%
40 1
0.5%
39 1
0.5%
38 2
1.0%
37 2
1.0%

3.22
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.341709
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:32.807512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q314
95-th percentile32.2
Maximum62
Range61
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.012811
Coefficient of variation (CV)0.81129861
Kurtosis4.4446237
Mean12.341709
Median Absolute Deviation (MAD)4
Skewness1.9851287
Sum2456
Variance100.25638
MonotonicityNot monotonic
2023-12-10T15:26:33.034732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 24
 
12.1%
5 19
 
9.5%
6 16
 
8.0%
8 13
 
6.5%
9 13
 
6.5%
10 12
 
6.0%
4 11
 
5.5%
11 10
 
5.0%
13 8
 
4.0%
12 8
 
4.0%
Other values (30) 65
32.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 6
 
3.0%
4 11
5.5%
5 19
9.5%
6 16
8.0%
7 24
12.1%
8 13
6.5%
9 13
6.5%
10 12
6.0%
ValueCountFrequency (%)
62 1
 
0.5%
48 1
 
0.5%
47 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
37 1
 
0.5%
35 2
1.0%
34 1
 
0.5%
32 3
1.5%

4.24
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.753769
Minimum2
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:33.314567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q314.5
95-th percentile32
Maximum78
Range76
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.607062
Coefficient of variation (CV)0.83168062
Kurtosis9.4669354
Mean12.753769
Median Absolute Deviation (MAD)4
Skewness2.5972679
Sum2538
Variance112.50977
MonotonicityNot monotonic
2023-12-10T15:26:33.643205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 21
 
10.6%
7 18
 
9.0%
5 16
 
8.0%
8 15
 
7.5%
9 14
 
7.0%
11 12
 
6.0%
4 10
 
5.0%
12 10
 
5.0%
13 9
 
4.5%
14 8
 
4.0%
Other values (28) 66
33.2%
ValueCountFrequency (%)
2 6
 
3.0%
3 2
 
1.0%
4 10
5.0%
5 16
8.0%
6 21
10.6%
7 18
9.0%
8 15
7.5%
9 14
7.0%
10 8
 
4.0%
11 12
6.0%
ValueCountFrequency (%)
78 1
 
0.5%
58 1
 
0.5%
52 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
43 1
 
0.5%
38 1
 
0.5%
35 2
1.0%
32 3
1.5%
31 2
1.0%

5.9
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.271357
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:34.104395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q315
95-th percentile32.1
Maximum53
Range52
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.113024
Coefficient of variation (CV)0.74262562
Kurtosis4.9634116
Mean12.271357
Median Absolute Deviation (MAD)4
Skewness2.0409241
Sum2442
Variance83.047206
MonotonicityNot monotonic
2023-12-10T15:26:34.338748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 20
 
10.1%
6 16
 
8.0%
8 15
 
7.5%
12 13
 
6.5%
14 12
 
6.0%
9 12
 
6.0%
11 11
 
5.5%
5 11
 
5.5%
15 10
 
5.0%
4 9
 
4.5%
Other values (24) 70
35.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 7
 
3.5%
3 5
 
2.5%
4 9
4.5%
5 11
5.5%
6 16
8.0%
7 20
10.1%
8 15
7.5%
9 12
6.0%
10 8
 
4.0%
ValueCountFrequency (%)
53 1
 
0.5%
50 1
 
0.5%
45 2
1.0%
43 1
 
0.5%
41 1
 
0.5%
37 1
 
0.5%
34 2
1.0%
33 1
 
0.5%
32 1
 
0.5%
31 3
1.5%

7.5
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.38191
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:34.590512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile50.1
Maximum83
Range82
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.448965
Coefficient of variation (CV)0.83126456
Kurtosis3.9682222
Mean17.38191
Median Absolute Deviation (MAD)8
Skewness1.7222005
Sum3459
Variance208.7726
MonotonicityNot monotonic
2023-12-10T15:26:34.819400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2 14
 
7.0%
12 11
 
5.5%
3 10
 
5.0%
16 10
 
5.0%
4 9
 
4.5%
1 9
 
4.5%
23 8
 
4.0%
10 8
 
4.0%
19 8
 
4.0%
25 7
 
3.5%
Other values (39) 105
52.8%
ValueCountFrequency (%)
1 9
4.5%
2 14
7.0%
3 10
5.0%
4 9
4.5%
5 1
 
0.5%
7 5
 
2.5%
8 5
 
2.5%
9 7
3.5%
10 8
4.0%
11 5
 
2.5%
ValueCountFrequency (%)
83 1
0.5%
75 1
0.5%
66 1
0.5%
63 1
0.5%
62 1
0.5%
57 1
0.5%
56 1
0.5%
53 1
0.5%
52 1
0.5%
51 1
0.5%

10.3
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.78392
Minimum9
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:35.072743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12
Q118
median29
Q341
95-th percentile82.5
Maximum143
Range134
Interquartile range (IQR)23

Descriptive statistics

Standard deviation24.159791
Coefficient of variation (CV)0.69456781
Kurtosis3.8404347
Mean34.78392
Median Absolute Deviation (MAD)11
Skewness1.8477649
Sum6922
Variance583.6955
MonotonicityNot monotonic
2023-12-10T15:26:35.353182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 9
 
4.5%
18 8
 
4.0%
30 8
 
4.0%
16 8
 
4.0%
24 7
 
3.5%
15 7
 
3.5%
34 7
 
3.5%
17 6
 
3.0%
32 6
 
3.0%
14 6
 
3.0%
Other values (57) 127
63.8%
ValueCountFrequency (%)
9 1
 
0.5%
10 3
 
1.5%
11 4
2.0%
12 9
4.5%
13 4
2.0%
14 6
3.0%
15 7
3.5%
16 8
4.0%
17 6
3.0%
18 8
4.0%
ValueCountFrequency (%)
143 1
0.5%
125 1
0.5%
121 1
0.5%
115 1
0.5%
110 1
0.5%
101 1
0.5%
100 2
1.0%
90 1
0.5%
87 1
0.5%
82 1
0.5%

10.4
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.331658
Minimum10
Maximum221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:35.668871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12.9
Q119
median30
Q348
95-th percentile115.2
Maximum221
Range211
Interquartile range (IQR)29

Descriptive statistics

Standard deviation33.800971
Coefficient of variation (CV)0.8380754
Kurtosis7.4057396
Mean40.331658
Median Absolute Deviation (MAD)12
Skewness2.4659847
Sum8026
Variance1142.5056
MonotonicityNot monotonic
2023-12-10T15:26:35.897060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 9
 
4.5%
16 8
 
4.0%
17 8
 
4.0%
18 7
 
3.5%
26 7
 
3.5%
32 6
 
3.0%
25 6
 
3.0%
30 6
 
3.0%
40 6
 
3.0%
33 6
 
3.0%
Other values (62) 130
65.3%
ValueCountFrequency (%)
10 2
 
1.0%
11 3
 
1.5%
12 5
2.5%
13 9
4.5%
14 2
 
1.0%
15 5
2.5%
16 8
4.0%
17 8
4.0%
18 7
3.5%
19 6
3.0%
ValueCountFrequency (%)
221 1
0.5%
182 1
0.5%
179 1
0.5%
163 1
0.5%
143 1
0.5%
137 1
0.5%
135 1
0.5%
130 1
0.5%
125 1
0.5%
117 1
0.5%

0.14
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47236181
Minimum0
Maximum12
Zeros157
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:36.103283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.4170641
Coefficient of variation (CV)2.9999548
Kurtosis35.89385
Mean0.47236181
Median Absolute Deviation (MAD)0
Skewness5.467584
Sum94
Variance2.0080707
MonotonicityNot monotonic
2023-12-10T15:26:36.330191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 157
78.9%
2 20
 
10.1%
1 18
 
9.0%
10 1
 
0.5%
6 1
 
0.5%
8 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
0 157
78.9%
1 18
 
9.0%
2 20
 
10.1%
6 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
10 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%
2 20
 
10.1%
1 18
 
9.0%
0 157
78.9%

2.28
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4874372
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:36.580363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile17.1
Maximum37
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1225973
Coefficient of variation (CV)0.78961802
Kurtosis7.8506817
Mean6.4874372
Median Absolute Deviation (MAD)2
Skewness2.3655687
Sum1291
Variance26.241003
MonotonicityNot monotonic
2023-12-10T15:26:36.777265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 35
17.6%
4 27
13.6%
2 26
13.1%
5 26
13.1%
6 20
10.1%
9 15
7.5%
11 8
 
4.0%
7 7
 
3.5%
12 6
 
3.0%
8 6
 
3.0%
Other values (14) 23
11.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 26
13.1%
3 35
17.6%
4 27
13.6%
5 26
13.1%
6 20
10.1%
7 7
 
3.5%
8 6
 
3.0%
9 15
7.5%
10 5
 
2.5%
ValueCountFrequency (%)
37 1
 
0.5%
24 3
1.5%
23 1
 
0.5%
22 1
 
0.5%
20 1
 
0.5%
19 1
 
0.5%
18 2
1.0%
17 1
 
0.5%
16 1
 
0.5%
15 2
1.0%

2.29
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6834171
Minimum2
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:36.990673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q38
95-th percentile17.1
Maximum36
Range34
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.1547053
Coefficient of variation (CV)0.77126793
Kurtosis6.0642188
Mean6.6834171
Median Absolute Deviation (MAD)2
Skewness2.1091655
Sum1330
Variance26.570986
MonotonicityNot monotonic
2023-12-10T15:26:37.221346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 32
16.1%
5 29
14.6%
2 27
13.6%
4 22
11.1%
6 21
10.6%
7 14
7.0%
8 9
 
4.5%
13 6
 
3.0%
10 6
 
3.0%
11 5
 
2.5%
Other values (14) 28
14.1%
ValueCountFrequency (%)
2 27
13.6%
3 32
16.1%
4 22
11.1%
5 29
14.6%
6 21
10.6%
7 14
7.0%
8 9
 
4.5%
9 5
 
2.5%
10 6
 
3.0%
11 5
 
2.5%
ValueCountFrequency (%)
36 1
0.5%
24 1
0.5%
23 1
0.5%
22 1
0.5%
21 2
1.0%
20 2
1.0%
19 1
0.5%
18 1
0.5%
17 2
1.0%
16 1
0.5%

2.30
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3165829
Minimum2
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:37.471268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q39
95-th percentile19.1
Maximum42
Range40
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.3233794
Coefficient of variation (CV)0.8642531
Kurtosis9.5921368
Mean7.3165829
Median Absolute Deviation (MAD)2
Skewness2.7210068
Sum1456
Variance39.985128
MonotonicityNot monotonic
2023-12-10T15:26:37.775946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 42
21.1%
4 27
13.6%
6 21
10.6%
5 16
 
8.0%
7 15
 
7.5%
2 15
 
7.5%
8 11
 
5.5%
9 9
 
4.5%
11 7
 
3.5%
10 6
 
3.0%
Other values (17) 30
15.1%
ValueCountFrequency (%)
2 15
 
7.5%
3 42
21.1%
4 27
13.6%
5 16
 
8.0%
6 21
10.6%
7 15
 
7.5%
8 11
 
5.5%
9 9
 
4.5%
10 6
 
3.0%
11 7
 
3.5%
ValueCountFrequency (%)
42 1
0.5%
39 1
0.5%
35 1
0.5%
32 1
0.5%
27 1
0.5%
23 1
0.5%
22 1
0.5%
21 1
0.5%
20 2
1.0%
19 1
0.5%

2.31
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5025126
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:38.023002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q37
95-th percentile16.1
Maximum48
Range47
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.219306
Coefficient of variation (CV)0.80265989
Kurtosis20.772812
Mean6.5025126
Median Absolute Deviation (MAD)2
Skewness3.5313268
Sum1294
Variance27.241155
MonotonicityNot monotonic
2023-12-10T15:26:38.218905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4 30
15.1%
3 28
14.1%
5 26
13.1%
6 24
12.1%
2 22
11.1%
7 20
10.1%
8 10
 
5.0%
10 8
 
4.0%
9 6
 
3.0%
16 3
 
1.5%
Other values (13) 22
11.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 22
11.1%
3 28
14.1%
4 30
15.1%
5 26
13.1%
6 24
12.1%
7 20
10.1%
8 10
 
5.0%
9 6
 
3.0%
10 8
 
4.0%
ValueCountFrequency (%)
48 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
21 3
1.5%
19 1
 
0.5%
18 1
 
0.5%
17 2
1.0%
16 3
1.5%
15 2
1.0%
14 1
 
0.5%

3.23
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6934673
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:38.399521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q15
median7
Q39
95-th percentile19
Maximum33
Range32
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.9442863
Coefficient of variation (CV)0.64266034
Kurtosis6.0243944
Mean7.6934673
Median Absolute Deviation (MAD)2
Skewness2.1292977
Sum1531
Variance24.445967
MonotonicityNot monotonic
2023-12-10T15:26:38.572850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6 24
12.1%
5 24
12.1%
4 23
11.6%
7 22
11.1%
9 21
10.6%
8 17
8.5%
3 15
7.5%
10 13
6.5%
11 8
 
4.0%
2 8
 
4.0%
Other values (16) 24
12.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 8
 
4.0%
3 15
7.5%
4 23
11.6%
5 24
12.1%
6 24
12.1%
7 22
11.1%
8 17
8.5%
9 21
10.6%
10 13
6.5%
ValueCountFrequency (%)
33 1
 
0.5%
28 1
 
0.5%
25 2
1.0%
24 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
20 1
 
0.5%
19 3
1.5%
18 1
 
0.5%
17 2
1.0%

2.32
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4924623
Minimum2
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:38.876162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q310
95-th percentile24.2
Maximum74
Range72
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.455712
Coefficient of variation (CV)1.2311756
Kurtosis18.270512
Mean8.4924623
Median Absolute Deviation (MAD)2
Skewness3.8778516
Sum1690
Variance109.32191
MonotonicityNot monotonic
2023-12-10T15:26:39.143584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 32
16.1%
4 29
14.6%
5 26
13.1%
2 23
11.6%
6 16
8.0%
7 11
 
5.5%
10 8
 
4.0%
8 7
 
3.5%
11 6
 
3.0%
13 5
 
2.5%
Other values (21) 36
18.1%
ValueCountFrequency (%)
2 23
11.6%
3 32
16.1%
4 29
14.6%
5 26
13.1%
6 16
8.0%
7 11
 
5.5%
8 7
 
3.5%
9 4
 
2.0%
10 8
 
4.0%
11 6
 
3.0%
ValueCountFrequency (%)
74 1
0.5%
71 1
0.5%
64 1
0.5%
49 1
0.5%
39 1
0.5%
37 1
0.5%
35 2
1.0%
27 1
0.5%
26 1
0.5%
24 2
1.0%

2.33
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.241206
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:39.387143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile22
Maximum44
Range43
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.7809977
Coefficient of variation (CV)0.9364459
Kurtosis6.7375177
Mean7.241206
Median Absolute Deviation (MAD)2
Skewness2.354632
Sum1441
Variance45.98193
MonotonicityNot monotonic
2023-12-10T15:26:39.602026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 41
20.6%
2 28
14.1%
4 23
11.6%
6 19
9.5%
5 18
9.0%
7 9
 
4.5%
10 7
 
3.5%
9 6
 
3.0%
13 6
 
3.0%
8 6
 
3.0%
Other values (18) 36
18.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 28
14.1%
3 41
20.6%
4 23
11.6%
5 18
9.0%
6 19
9.5%
7 9
 
4.5%
8 6
 
3.0%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
44 1
0.5%
35 1
0.5%
32 1
0.5%
29 1
0.5%
28 2
1.0%
26 1
0.5%
25 1
0.5%
24 1
0.5%
22 2
1.0%
20 2
1.0%

2.34
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.080402
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:39.850030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile21
Maximum80
Range79
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.1647969
Coefficient of variation (CV)1.1342006
Kurtosis23.150235
Mean8.080402
Median Absolute Deviation (MAD)2
Skewness4.0793672
Sum1608
Variance83.993503
MonotonicityNot monotonic
2023-12-10T15:26:40.117577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 38
19.1%
4 29
14.6%
6 25
12.6%
2 20
10.1%
5 13
 
6.5%
8 9
 
4.5%
7 9
 
4.5%
16 9
 
4.5%
9 8
 
4.0%
10 7
 
3.5%
Other values (19) 32
16.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 20
10.1%
3 38
19.1%
4 29
14.6%
5 13
 
6.5%
6 25
12.6%
7 9
 
4.5%
8 9
 
4.5%
9 8
 
4.0%
10 7
 
3.5%
ValueCountFrequency (%)
80 1
 
0.5%
51 1
 
0.5%
47 1
 
0.5%
40 1
 
0.5%
37 1
 
0.5%
36 1
 
0.5%
32 1
 
0.5%
27 1
 
0.5%
21 3
1.5%
20 1
 
0.5%

2.35
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4170854
Minimum2
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:40.395381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q38.5
95-th percentile18.1
Maximum63
Range61
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation6.757107
Coefficient of variation (CV)0.91101916
Kurtosis25.880927
Mean7.4170854
Median Absolute Deviation (MAD)2
Skewness4.1503015
Sum1476
Variance45.658494
MonotonicityNot monotonic
2023-12-10T15:26:40.624110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 34
17.1%
4 28
14.1%
7 24
12.1%
6 22
11.1%
5 20
10.1%
9 13
 
6.5%
2 12
 
6.0%
8 9
 
4.5%
14 6
 
3.0%
12 6
 
3.0%
Other values (16) 25
12.6%
ValueCountFrequency (%)
2 12
 
6.0%
3 34
17.1%
4 28
14.1%
5 20
10.1%
6 22
11.1%
7 24
12.1%
8 9
 
4.5%
9 13
 
6.5%
10 2
 
1.0%
11 5
 
2.5%
ValueCountFrequency (%)
63 1
0.5%
38 1
0.5%
35 1
0.5%
29 1
0.5%
24 2
1.0%
23 1
0.5%
21 1
0.5%
20 1
0.5%
19 1
0.5%
18 1
0.5%

3.24
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.321608
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:40.883296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15.5
median8
Q311
95-th percentile23
Maximum38
Range37
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.001438
Coefficient of variation (CV)0.64382003
Kurtosis4.9282173
Mean9.321608
Median Absolute Deviation (MAD)3
Skewness1.95963
Sum1855
Variance36.017258
MonotonicityNot monotonic
2023-12-10T15:26:41.156224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7 25
12.6%
6 19
9.5%
5 18
9.0%
9 17
8.5%
4 17
8.5%
8 16
 
8.0%
10 14
 
7.0%
11 11
 
5.5%
12 11
 
5.5%
3 9
 
4.5%
Other values (17) 42
21.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 5
 
2.5%
3 9
 
4.5%
4 17
8.5%
5 18
9.0%
6 19
9.5%
7 25
12.6%
8 16
8.0%
9 17
8.5%
10 14
7.0%
ValueCountFrequency (%)
38 1
 
0.5%
34 1
 
0.5%
30 1
 
0.5%
29 2
1.0%
26 2
1.0%
24 2
1.0%
23 2
1.0%
21 1
 
0.5%
20 1
 
0.5%
19 3
1.5%

0.15
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23115578
Minimum0
Maximum9
Zeros179
Zeros (%)89.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:41.392488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum9
Range9
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.98310689
Coefficient of variation (CV)4.2530059
Kurtosis45.907365
Mean0.23115578
Median Absolute Deviation (MAD)0
Skewness6.3188082
Sum46
Variance0.96649916
MonotonicityNot monotonic
2023-12-10T15:26:41.617126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 179
89.9%
1 11
 
5.5%
2 5
 
2.5%
7 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
ValueCountFrequency (%)
0 179
89.9%
1 11
 
5.5%
2 5
 
2.5%
4 1
 
0.5%
5 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
ValueCountFrequency (%)
9 1
 
0.5%
7 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
2 5
 
2.5%
1 11
 
5.5%
0 179
89.9%

12.3
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.713568
Minimum11
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:42.142226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q124.5
median39
Q371.5
95-th percentile175.7
Maximum424
Range413
Interquartile range (IQR)47

Descriptive statistics

Standard deviation62.380175
Coefficient of variation (CV)1.0274503
Kurtosis10.479696
Mean60.713568
Median Absolute Deviation (MAD)18
Skewness2.8686366
Sum12082
Variance3891.2862
MonotonicityNot monotonic
2023-12-10T15:26:43.745271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 8
 
4.0%
20 7
 
3.5%
15 7
 
3.5%
22 6
 
3.0%
18 6
 
3.0%
40 6
 
3.0%
19 6
 
3.0%
38 5
 
2.5%
23 5
 
2.5%
31 5
 
2.5%
Other values (85) 138
69.3%
ValueCountFrequency (%)
11 1
 
0.5%
12 1
 
0.5%
13 2
 
1.0%
14 2
 
1.0%
15 7
3.5%
16 3
1.5%
18 6
3.0%
19 6
3.0%
20 7
3.5%
21 3
1.5%
ValueCountFrequency (%)
424 1
0.5%
358 1
0.5%
343 1
0.5%
287 1
0.5%
282 1
0.5%
208 1
0.5%
201 1
0.5%
195 1
0.5%
184 1
0.5%
182 1
0.5%

13.1
Real number (ℝ)

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.115578
Minimum12
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:44.101058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile16
Q125.5
median41
Q380.5
95-th percentile265
Maximum532
Range520
Interquartile range (IQR)55

Descriptive statistics

Standard deviation90.306446
Coefficient of variation (CV)1.2184543
Kurtosis9.9316453
Mean74.115578
Median Absolute Deviation (MAD)20
Skewness2.9573999
Sum14749
Variance8155.2543
MonotonicityNot monotonic
2023-12-10T15:26:44.452551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 8
 
4.0%
22 6
 
3.0%
21 6
 
3.0%
37 6
 
3.0%
23 6
 
3.0%
20 6
 
3.0%
15 6
 
3.0%
27 5
 
2.5%
41 5
 
2.5%
40 5
 
2.5%
Other values (89) 140
70.4%
ValueCountFrequency (%)
12 1
 
0.5%
14 2
 
1.0%
15 6
3.0%
16 4
2.0%
17 1
 
0.5%
18 4
2.0%
19 4
2.0%
20 6
3.0%
21 6
3.0%
22 6
3.0%
ValueCountFrequency (%)
532 1
0.5%
510 1
0.5%
489 1
0.5%
487 1
0.5%
386 1
0.5%
323 1
0.5%
301 1
0.5%
290 1
0.5%
277 1
0.5%
274 1
0.5%

2.36
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.638191
Minimum2
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:44.844285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median6
Q313
95-th percentile46.1
Maximum114
Range112
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.424598
Coefficient of variation (CV)1.2996004
Kurtosis12.683274
Mean12.638191
Median Absolute Deviation (MAD)3
Skewness3.2380394
Sum2515
Variance269.76742
MonotonicityNot monotonic
2023-12-10T15:26:45.227645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 27
13.6%
4 25
12.6%
6 21
 
10.6%
5 18
 
9.0%
7 13
 
6.5%
2 10
 
5.0%
8 9
 
4.5%
9 7
 
3.5%
14 7
 
3.5%
13 6
 
3.0%
Other values (33) 56
28.1%
ValueCountFrequency (%)
2 10
 
5.0%
3 27
13.6%
4 25
12.6%
5 18
9.0%
6 21
10.6%
7 13
6.5%
8 9
 
4.5%
9 7
 
3.5%
10 3
 
1.5%
11 6
 
3.0%
ValueCountFrequency (%)
114 1
0.5%
90 1
0.5%
86 1
0.5%
78 1
0.5%
73 1
0.5%
64 1
0.5%
50 1
0.5%
49 1
0.5%
47 2
1.0%
46 1
0.5%

2.37
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.984925
Minimum2
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:45.664654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median7
Q315
95-th percentile32.4
Maximum105
Range103
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.104042
Coefficient of variation (CV)1.1768153
Kurtosis15.916479
Mean11.984925
Median Absolute Deviation (MAD)3
Skewness3.5001374
Sum2385
Variance198.92401
MonotonicityNot monotonic
2023-12-10T15:26:46.070692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 23
11.6%
6 22
 
11.1%
5 19
 
9.5%
3 19
 
9.5%
7 18
 
9.0%
8 13
 
6.5%
2 10
 
5.0%
17 6
 
3.0%
9 6
 
3.0%
16 6
 
3.0%
Other values (25) 57
28.6%
ValueCountFrequency (%)
2 10
5.0%
3 19
9.5%
4 23
11.6%
5 19
9.5%
6 22
11.1%
7 18
9.0%
8 13
6.5%
9 6
 
3.0%
10 5
 
2.5%
11 2
 
1.0%
ValueCountFrequency (%)
105 1
 
0.5%
85 1
 
0.5%
81 1
 
0.5%
61 2
1.0%
55 1
 
0.5%
39 2
1.0%
36 2
1.0%
32 1
 
0.5%
31 1
 
0.5%
29 3
1.5%

2.38
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.472362
Minimum2
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:46.474813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q315
95-th percentile42
Maximum114
Range112
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.071389
Coefficient of variation (CV)1.2671415
Kurtosis12.954585
Mean13.472362
Median Absolute Deviation (MAD)3
Skewness3.2902759
Sum2681
Variance291.43231
MonotonicityNot monotonic
2023-12-10T15:26:46.906711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 24
 
12.1%
4 22
 
11.1%
5 21
 
10.6%
7 18
 
9.0%
6 14
 
7.0%
9 12
 
6.0%
8 9
 
4.5%
11 7
 
3.5%
10 6
 
3.0%
12 5
 
2.5%
Other values (33) 61
30.7%
ValueCountFrequency (%)
2 5
 
2.5%
3 24
12.1%
4 22
11.1%
5 21
10.6%
6 14
7.0%
7 18
9.0%
8 9
 
4.5%
9 12
6.0%
10 6
 
3.0%
11 7
 
3.5%
ValueCountFrequency (%)
114 1
0.5%
100 1
0.5%
96 1
0.5%
81 1
0.5%
73 1
0.5%
71 1
0.5%
61 1
0.5%
47 1
0.5%
46 1
0.5%
42 2
1.0%

2.39
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.115578
Minimum2
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:47.330103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.5
median7
Q313
95-th percentile31.1
Maximum65
Range63
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation11.474685
Coefficient of variation (CV)1.0323066
Kurtosis8.9819201
Mean11.115578
Median Absolute Deviation (MAD)3
Skewness2.8138056
Sum2212
Variance131.66839
MonotonicityNot monotonic
2023-12-10T15:26:47.727866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 30
15.1%
8 19
 
9.5%
7 19
 
9.5%
6 19
 
9.5%
5 18
 
9.0%
3 15
 
7.5%
9 9
 
4.5%
10 6
 
3.0%
16 6
 
3.0%
18 5
 
2.5%
Other values (24) 53
26.6%
ValueCountFrequency (%)
2 5
 
2.5%
3 15
7.5%
4 30
15.1%
5 18
9.0%
6 19
9.5%
7 19
9.5%
8 19
9.5%
9 9
 
4.5%
10 6
 
3.0%
11 3
 
1.5%
ValueCountFrequency (%)
65 1
 
0.5%
64 1
 
0.5%
61 1
 
0.5%
59 2
1.0%
56 1
 
0.5%
43 1
 
0.5%
36 2
1.0%
32 1
 
0.5%
31 1
 
0.5%
30 3
1.5%

3.25
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.261307
Minimum3
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:47.962691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median9
Q313
95-th percentile26.1
Maximum41
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.261498
Coefficient of variation (CV)0.64481843
Kurtosis2.2611198
Mean11.261307
Median Absolute Deviation (MAD)3
Skewness1.5572592
Sum2241
Variance52.729354
MonotonicityNot monotonic
2023-12-10T15:26:48.215379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6 24
12.1%
7 19
 
9.5%
8 17
 
8.5%
5 16
 
8.0%
11 15
 
7.5%
9 14
 
7.0%
4 12
 
6.0%
12 11
 
5.5%
10 10
 
5.0%
13 7
 
3.5%
Other values (22) 54
27.1%
ValueCountFrequency (%)
3 5
 
2.5%
4 12
6.0%
5 16
8.0%
6 24
12.1%
7 19
9.5%
8 17
8.5%
9 14
7.0%
10 10
5.0%
11 15
7.5%
12 11
5.5%
ValueCountFrequency (%)
41 1
0.5%
35 2
1.0%
33 1
0.5%
32 1
0.5%
31 1
0.5%
30 1
0.5%
29 1
0.5%
27 2
1.0%
26 2
1.0%
25 2
1.0%

2.40
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.482412
Minimum2
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:48.449662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q315
95-th percentile77.9
Maximum223
Range221
Interquartile range (IQR)11

Descriptive statistics

Standard deviation33.044635
Coefficient of variation (CV)1.7878963
Kurtosis16.272002
Mean18.482412
Median Absolute Deviation (MAD)3
Skewness3.8167249
Sum3678
Variance1091.9479
MonotonicityNot monotonic
2023-12-10T15:26:48.700070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4 28
14.1%
3 24
 
12.1%
6 20
 
10.1%
5 16
 
8.0%
7 15
 
7.5%
8 8
 
4.0%
2 7
 
3.5%
10 7
 
3.5%
9 6
 
3.0%
14 6
 
3.0%
Other values (38) 62
31.2%
ValueCountFrequency (%)
2 7
 
3.5%
3 24
12.1%
4 28
14.1%
5 16
8.0%
6 20
10.1%
7 15
7.5%
8 8
 
4.0%
9 6
 
3.0%
10 7
 
3.5%
11 3
 
1.5%
ValueCountFrequency (%)
223 1
0.5%
193 1
0.5%
184 1
0.5%
165 1
0.5%
132 1
0.5%
131 1
0.5%
104 1
0.5%
100 1
0.5%
96 1
0.5%
95 1
0.5%

2.41
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.115578
Minimum2
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:48.932930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q316.5
95-th percentile40.2
Maximum125
Range123
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation17.658423
Coefficient of variation (CV)1.3463702
Kurtosis16.212687
Mean13.115578
Median Absolute Deviation (MAD)4
Skewness3.6103064
Sum2610
Variance311.81991
MonotonicityNot monotonic
2023-12-10T15:26:49.169137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 28
14.1%
4 27
13.6%
6 17
 
8.5%
5 14
 
7.0%
2 13
 
6.5%
7 13
 
6.5%
9 9
 
4.5%
8 7
 
3.5%
17 7
 
3.5%
27 6
 
3.0%
Other values (30) 58
29.1%
ValueCountFrequency (%)
2 13
6.5%
3 28
14.1%
4 27
13.6%
5 14
7.0%
6 17
8.5%
7 13
6.5%
8 7
 
3.5%
9 9
 
4.5%
10 4
 
2.0%
11 3
 
1.5%
ValueCountFrequency (%)
125 1
0.5%
106 1
0.5%
101 1
0.5%
97 1
0.5%
64 1
0.5%
55 1
0.5%
52 1
0.5%
49 1
0.5%
45 1
0.5%
42 1
0.5%

2.42
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.396985
Minimum2
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:49.391448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q316
95-th percentile53
Maximum153
Range151
Interquartile range (IQR)12

Descriptive statistics

Standard deviation23.226121
Coefficient of variation (CV)1.508485
Kurtosis15.586594
Mean15.396985
Median Absolute Deviation (MAD)4
Skewness3.6657989
Sum3064
Variance539.45272
MonotonicityNot monotonic
2023-12-10T15:26:49.623859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4 26
13.1%
3 26
13.1%
5 19
 
9.5%
7 18
 
9.0%
8 11
 
5.5%
6 11
 
5.5%
11 8
 
4.0%
12 7
 
3.5%
2 7
 
3.5%
20 5
 
2.5%
Other values (37) 61
30.7%
ValueCountFrequency (%)
2 7
 
3.5%
3 26
13.1%
4 26
13.1%
5 19
9.5%
6 11
5.5%
7 18
9.0%
8 11
5.5%
9 4
 
2.0%
10 3
 
1.5%
11 8
 
4.0%
ValueCountFrequency (%)
153 1
0.5%
149 1
0.5%
120 1
0.5%
114 1
0.5%
109 1
0.5%
96 1
0.5%
74 1
0.5%
59 1
0.5%
56 1
0.5%
53 2
1.0%

0.16
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
193 
4
 
3
2
 
2
6
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 193
97.0%
4 3
 
1.5%
2 2
 
1.0%
6 1
 
0.5%

Length

2023-12-10T15:26:49.841563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:26:50.003442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 193
97.0%
4 3
 
1.5%
2 2
 
1.0%
6 1
 
0.5%

3.26
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.311558
Minimum2
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:50.205135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile44.4
Maximum95
Range93
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.422777
Coefficient of variation (CV)1.1586004
Kurtosis9.8177668
Mean13.311558
Median Absolute Deviation (MAD)3
Skewness2.9204205
Sum2649
Variance237.86204
MonotonicityNot monotonic
2023-12-10T15:26:50.445310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4 24
12.1%
8 22
11.1%
5 19
 
9.5%
7 17
 
8.5%
6 17
 
8.5%
3 16
 
8.0%
9 13
 
6.5%
11 9
 
4.5%
19 4
 
2.0%
10 4
 
2.0%
Other values (34) 54
27.1%
ValueCountFrequency (%)
2 1
 
0.5%
3 16
8.0%
4 24
12.1%
5 19
9.5%
6 17
8.5%
7 17
8.5%
8 22
11.1%
9 13
6.5%
10 4
 
2.0%
11 9
 
4.5%
ValueCountFrequency (%)
95 1
0.5%
89 1
0.5%
80 1
0.5%
76 1
0.5%
73 1
0.5%
54 1
0.5%
53 1
0.5%
52 1
0.5%
49 1
0.5%
48 1
0.5%

4.25
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.969849
Minimum3
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:50.649043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median11
Q316
95-th percentile34.1
Maximum57
Range54
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.5747509
Coefficient of variation (CV)0.68538684
Kurtosis3.0053945
Mean13.969849
Median Absolute Deviation (MAD)4
Skewness1.6957964
Sum2780
Variance91.675854
MonotonicityNot monotonic
2023-12-10T15:26:50.856420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 20
 
10.1%
9 16
 
8.0%
10 14
 
7.0%
14 13
 
6.5%
13 12
 
6.0%
6 12
 
6.0%
5 12
 
6.0%
11 11
 
5.5%
8 11
 
5.5%
12 8
 
4.0%
Other values (26) 70
35.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 7
 
3.5%
5 12
6.0%
6 12
6.0%
7 20
10.1%
8 11
5.5%
9 16
8.0%
10 14
7.0%
11 11
5.5%
12 8
 
4.0%
ValueCountFrequency (%)
57 1
 
0.5%
47 2
1.0%
43 1
 
0.5%
40 1
 
0.5%
37 1
 
0.5%
36 1
 
0.5%
35 3
1.5%
34 3
1.5%
33 1
 
0.5%
32 3
1.5%

33.1
Real number (ℝ)

Distinct117
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.30653
Minimum16
Maximum409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:51.101344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile37
Q155.5
median87
Q3127
95-th percentile235.1
Maximum409
Range393
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation67.730538
Coefficient of variation (CV)0.64934128
Kurtosis4.2422125
Mean104.30653
Median Absolute Deviation (MAD)34
Skewness1.8421299
Sum20757
Variance4587.4258
MonotonicityNot monotonic
2023-12-10T15:26:51.380494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 6
 
3.0%
53 6
 
3.0%
49 5
 
2.5%
80 5
 
2.5%
108 4
 
2.0%
52 4
 
2.0%
43 4
 
2.0%
40 4
 
2.0%
76 3
 
1.5%
59 3
 
1.5%
Other values (107) 155
77.9%
ValueCountFrequency (%)
16 1
0.5%
20 1
0.5%
24 1
0.5%
30 2
1.0%
31 1
0.5%
35 1
0.5%
36 2
1.0%
37 2
1.0%
38 1
0.5%
39 1
0.5%
ValueCountFrequency (%)
409 1
0.5%
391 1
0.5%
344 1
0.5%
337 1
0.5%
303 1
0.5%
294 1
0.5%
257 1
0.5%
256 1
0.5%
254 1
0.5%
236 1
0.5%

36.1
Real number (ℝ)

Distinct131
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.60804
Minimum19
Maximum473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:51.647857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile41
Q162.5
median94
Q3135
95-th percentile265.2
Maximum473
Range454
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation82.906282
Coefficient of variation (CV)0.69899378
Kurtosis4.5420916
Mean118.60804
Median Absolute Deviation (MAD)36
Skewness1.9550141
Sum23603
Variance6873.4517
MonotonicityNot monotonic
2023-12-10T15:26:51.888083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 5
 
2.5%
87 5
 
2.5%
64 4
 
2.0%
71 4
 
2.0%
66 3
 
1.5%
63 3
 
1.5%
102 3
 
1.5%
41 3
 
1.5%
132 3
 
1.5%
44 3
 
1.5%
Other values (121) 163
81.9%
ValueCountFrequency (%)
19 1
 
0.5%
29 1
 
0.5%
30 1
 
0.5%
31 1
 
0.5%
33 1
 
0.5%
34 1
 
0.5%
38 2
1.0%
40 1
 
0.5%
41 3
1.5%
42 1
 
0.5%
ValueCountFrequency (%)
473 1
0.5%
458 1
0.5%
453 1
0.5%
422 1
0.5%
398 1
0.5%
355 1
0.5%
317 1
0.5%
303 1
0.5%
277 1
0.5%
267 1
0.5%

5.10
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.165829
Minimum4
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:52.101981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median16
Q324
95-th percentile44.1
Maximum82
Range78
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.793924
Coefficient of variation (CV)0.66753823
Kurtosis3.8449746
Mean19.165829
Median Absolute Deviation (MAD)6
Skewness1.7473463
Sum3814
Variance163.68448
MonotonicityNot monotonic
2023-12-10T15:26:52.320720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
9 14
 
7.0%
12 14
 
7.0%
17 13
 
6.5%
8 11
 
5.5%
11 10
 
5.0%
16 10
 
5.0%
14 10
 
5.0%
6 9
 
4.5%
13 9
 
4.5%
10 8
 
4.0%
Other values (36) 91
45.7%
ValueCountFrequency (%)
4 2
 
1.0%
5 1
 
0.5%
6 9
4.5%
7 6
3.0%
8 11
5.5%
9 14
7.0%
10 8
4.0%
11 10
5.0%
12 14
7.0%
13 9
4.5%
ValueCountFrequency (%)
82 1
0.5%
67 1
0.5%
64 1
0.5%
58 1
0.5%
50 2
1.0%
48 2
1.0%
47 1
0.5%
45 1
0.5%
44 2
1.0%
42 1
0.5%

6.12
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.472362
Minimum3
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:52.548304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median16
Q323
95-th percentile46.1
Maximum78
Range75
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.399758
Coefficient of variation (CV)0.68814243
Kurtosis4.1057038
Mean19.472362
Median Absolute Deviation (MAD)6
Skewness1.8668079
Sum3875
Variance179.55353
MonotonicityNot monotonic
2023-12-10T15:26:52.797721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
11 14
 
7.0%
8 12
 
6.0%
9 11
 
5.5%
14 11
 
5.5%
16 10
 
5.0%
10 10
 
5.0%
19 10
 
5.0%
13 9
 
4.5%
18 9
 
4.5%
6 8
 
4.0%
Other values (35) 95
47.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 8
4.0%
7 6
3.0%
8 12
6.0%
9 11
5.5%
10 10
5.0%
11 14
7.0%
12 6
3.0%
ValueCountFrequency (%)
78 1
0.5%
72 2
1.0%
69 1
0.5%
55 1
0.5%
52 2
1.0%
51 2
1.0%
47 1
0.5%
46 1
0.5%
45 1
0.5%
44 2
1.0%

6.13
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.231156
Minimum3
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:53.536183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q111
median17
Q326
95-th percentile50.1
Maximum92
Range89
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.603251
Coefficient of variation (CV)0.73492237
Kurtosis5.8122061
Mean21.231156
Median Absolute Deviation (MAD)7
Skewness2.1476101
Sum4225
Variance243.46145
MonotonicityNot monotonic
2023-12-10T15:26:53.830461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 20
 
10.1%
11 12
 
6.0%
19 12
 
6.0%
15 10
 
5.0%
12 10
 
5.0%
10 9
 
4.5%
14 8
 
4.0%
7 7
 
3.5%
20 7
 
3.5%
13 7
 
3.5%
Other values (40) 97
48.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 2
 
1.0%
7 7
 
3.5%
8 5
 
2.5%
9 20
10.1%
10 9
4.5%
11 12
6.0%
12 10
5.0%
ValueCountFrequency (%)
92 2
1.0%
89 1
0.5%
76 1
0.5%
67 1
0.5%
64 1
0.5%
62 1
0.5%
56 2
1.0%
51 1
0.5%
50 1
0.5%
49 1
0.5%

6.14
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.748744
Minimum3
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:54.041056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q111
median16
Q323
95-th percentile50.1
Maximum98
Range95
Interquartile range (IQR)12

Descriptive statistics

Standard deviation14.481168
Coefficient of variation (CV)0.73327034
Kurtosis7.6376687
Mean19.748744
Median Absolute Deviation (MAD)6
Skewness2.4357851
Sum3930
Variance209.70423
MonotonicityNot monotonic
2023-12-10T15:26:54.263652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 16
 
8.0%
20 11
 
5.5%
13 11
 
5.5%
10 11
 
5.5%
8 11
 
5.5%
23 10
 
5.0%
16 9
 
4.5%
15 9
 
4.5%
9 9
 
4.5%
7 9
 
4.5%
Other values (41) 93
46.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 1
 
0.5%
5 2
 
1.0%
6 3
 
1.5%
7 9
4.5%
8 11
5.5%
9 9
4.5%
10 11
5.5%
11 7
3.5%
12 16
8.0%
ValueCountFrequency (%)
98 1
0.5%
82 1
0.5%
81 1
0.5%
70 1
0.5%
63 1
0.5%
61 1
0.5%
58 1
0.5%
56 1
0.5%
54 1
0.5%
51 1
0.5%

9.3
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.095477
Minimum2
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:54.483152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.9
Q113
median20
Q330
95-th percentile64.1
Maximum112
Range110
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.486963
Coefficient of variation (CV)0.72573631
Kurtosis5.4864091
Mean24.095477
Median Absolute Deviation (MAD)8
Skewness2.0506433
Sum4795
Variance305.79387
MonotonicityNot monotonic
2023-12-10T15:26:54.708323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 13
 
6.5%
16 12
 
6.0%
13 10
 
5.0%
22 8
 
4.0%
8 7
 
3.5%
14 7
 
3.5%
25 7
 
3.5%
31 7
 
3.5%
10 7
 
3.5%
19 7
 
3.5%
Other values (46) 114
57.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
1.5%
4 3
1.5%
5 3
1.5%
6 2
 
1.0%
7 5
2.5%
8 7
3.5%
9 3
1.5%
10 7
3.5%
11 4
2.0%
ValueCountFrequency (%)
112 1
0.5%
95 1
0.5%
85 1
0.5%
83 1
0.5%
80 1
0.5%
73 1
0.5%
71 1
0.5%
67 1
0.5%
65 2
1.0%
64 1
0.5%

6.15
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.417085
Minimum4
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:54.926784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q111
median16
Q327
95-th percentile60.3
Maximum124
Range120
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.096875
Coefficient of variation (CV)0.80728045
Kurtosis8.0633658
Mean22.417085
Median Absolute Deviation (MAD)6
Skewness2.4355699
Sum4461
Variance327.49688
MonotonicityNot monotonic
2023-12-10T15:26:55.142342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 15
 
7.5%
8 12
 
6.0%
11 11
 
5.5%
15 11
 
5.5%
10 10
 
5.0%
16 9
 
4.5%
9 9
 
4.5%
20 8
 
4.0%
21 8
 
4.0%
17 7
 
3.5%
Other values (42) 99
49.7%
ValueCountFrequency (%)
4 1
 
0.5%
5 2
 
1.0%
6 4
 
2.0%
7 6
 
3.0%
8 12
6.0%
9 9
4.5%
10 10
5.0%
11 11
5.5%
12 15
7.5%
13 7
3.5%
ValueCountFrequency (%)
124 1
0.5%
111 1
0.5%
90 1
0.5%
72 1
0.5%
69 2
1.0%
67 2
1.0%
63 2
1.0%
60 1
0.5%
57 1
0.5%
51 2
1.0%

0.17
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
180 
1
 
15
4
 
2
10
 
1
3
 
1

Length

Max length2
Median length1
Mean length1.0050251
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 180
90.5%
1 15
 
7.5%
4 2
 
1.0%
10 1
 
0.5%
3 1
 
0.5%

Length

2023-12-10T15:26:55.380205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:26:55.565997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 180
90.5%
1 15
 
7.5%
4 2
 
1.0%
10 1
 
0.5%
3 1
 
0.5%

5.11
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.21608
Minimum3
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:55.758338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median15
Q324.5
95-th percentile50.2
Maximum96
Range93
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation15.508503
Coefficient of variation (CV)0.76713701
Kurtosis3.9507895
Mean20.21608
Median Absolute Deviation (MAD)6
Skewness1.8490106
Sum4023
Variance240.51368
MonotonicityNot monotonic
2023-12-10T15:26:55.992162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13
 
6.5%
12 12
 
6.0%
7 11
 
5.5%
10 10
 
5.0%
11 10
 
5.0%
8 10
 
5.0%
14 10
 
5.0%
15 9
 
4.5%
16 8
 
4.0%
18 7
 
3.5%
Other values (43) 99
49.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
5 4
 
2.0%
6 7
3.5%
7 11
5.5%
8 10
5.0%
9 13
6.5%
10 10
5.0%
11 10
5.0%
12 12
6.0%
ValueCountFrequency (%)
96 1
0.5%
75 1
0.5%
73 1
0.5%
69 1
0.5%
66 1
0.5%
64 1
0.5%
57 1
0.5%
54 2
1.0%
52 1
0.5%
50 1
0.5%

6.16
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.38191
Minimum4
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:56.235935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q110.5
median17
Q330.5
95-th percentile59.1
Maximum258
Range254
Interquartile range (IQR)20

Descriptive statistics

Standard deviation27.493156
Coefficient of variation (CV)1.1276047
Kurtosis37.671323
Mean24.38191
Median Absolute Deviation (MAD)8
Skewness5.2798214
Sum4852
Variance755.87361
MonotonicityNot monotonic
2023-12-10T15:26:56.465304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 17
 
8.5%
10 11
 
5.5%
12 10
 
5.0%
13 10
 
5.0%
11 9
 
4.5%
8 9
 
4.5%
17 9
 
4.5%
15 9
 
4.5%
20 8
 
4.0%
21 7
 
3.5%
Other values (49) 100
50.3%
ValueCountFrequency (%)
4 1
 
0.5%
5 2
 
1.0%
6 4
 
2.0%
7 6
 
3.0%
8 9
4.5%
9 17
8.5%
10 11
5.5%
11 9
4.5%
12 10
5.0%
13 10
5.0%
ValueCountFrequency (%)
258 1
0.5%
216 1
0.5%
121 1
0.5%
90 1
0.5%
74 1
0.5%
72 1
0.5%
71 1
0.5%
68 1
0.5%
66 1
0.5%
60 1
0.5%

7.6
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.61809
Minimum5
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:56.688187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q112.5
median19
Q325.5
95-th percentile52.1
Maximum134
Range129
Interquartile range (IQR)13

Descriptive statistics

Standard deviation17.381776
Coefficient of variation (CV)0.76848998
Kurtosis14.251867
Mean22.61809
Median Absolute Deviation (MAD)7
Skewness3.1313903
Sum4501
Variance302.12614
MonotonicityNot monotonic
2023-12-10T15:26:56.937094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 12
 
6.0%
11 12
 
6.0%
19 11
 
5.5%
16 11
 
5.5%
22 11
 
5.5%
14 10
 
5.0%
9 9
 
4.5%
23 9
 
4.5%
21 8
 
4.0%
8 7
 
3.5%
Other values (41) 99
49.7%
ValueCountFrequency (%)
5 4
 
2.0%
6 1
 
0.5%
7 3
 
1.5%
8 7
3.5%
9 9
4.5%
10 7
3.5%
11 12
6.0%
12 7
3.5%
13 12
6.0%
14 10
5.0%
ValueCountFrequency (%)
134 1
0.5%
124 1
0.5%
82 1
0.5%
78 1
0.5%
70 1
0.5%
67 1
0.5%
64 1
0.5%
57 1
0.5%
54 1
0.5%
53 1
0.5%

11.2
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.537688
Minimum4
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:57.231627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.9
Q116
median25
Q336.5
95-th percentile77.2
Maximum129
Range125
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation20.764124
Coefficient of variation (CV)0.7029705
Kurtosis5.181708
Mean29.537688
Median Absolute Deviation (MAD)10
Skewness2.0060904
Sum5878
Variance431.14882
MonotonicityNot monotonic
2023-12-10T15:26:57.463889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 9
 
4.5%
18 9
 
4.5%
28 8
 
4.0%
13 7
 
3.5%
25 7
 
3.5%
24 7
 
3.5%
19 6
 
3.0%
15 6
 
3.0%
30 5
 
2.5%
35 5
 
2.5%
Other values (53) 130
65.3%
ValueCountFrequency (%)
4 4
2.0%
5 3
1.5%
6 1
 
0.5%
8 2
 
1.0%
9 5
2.5%
10 5
2.5%
11 4
2.0%
12 5
2.5%
13 7
3.5%
14 4
2.0%
ValueCountFrequency (%)
129 1
0.5%
117 1
0.5%
102 1
0.5%
98 1
0.5%
97 1
0.5%
88 1
0.5%
87 1
0.5%
82 1
0.5%
80 1
0.5%
79 1
0.5%

19.3
Real number (ℝ)

Distinct106
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.266332
Minimum18
Maximum381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:57.692398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile24
Q137
median61
Q399
95-th percentile215.5
Maximum381
Range363
Interquartile range (IQR)62

Descriptive statistics

Standard deviation64.021811
Coefficient of variation (CV)0.7878024
Kurtosis4.2196259
Mean81.266332
Median Absolute Deviation (MAD)26
Skewness1.9575428
Sum16172
Variance4098.7923
MonotonicityNot monotonic
2023-12-10T15:26:57.873681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 6
 
3.0%
29 5
 
2.5%
32 4
 
2.0%
37 4
 
2.0%
60 4
 
2.0%
65 4
 
2.0%
36 4
 
2.0%
47 4
 
2.0%
62 4
 
2.0%
63 3
 
1.5%
Other values (96) 157
78.9%
ValueCountFrequency (%)
18 1
 
0.5%
21 2
 
1.0%
22 2
 
1.0%
23 3
1.5%
24 3
1.5%
25 3
1.5%
26 2
 
1.0%
27 1
 
0.5%
28 1
 
0.5%
29 5
2.5%
ValueCountFrequency (%)
381 1
0.5%
315 1
0.5%
309 1
0.5%
296 1
0.5%
274 1
0.5%
264 1
0.5%
252 2
1.0%
240 1
0.5%
229 1
0.5%
214 1
0.5%

21.4
Real number (ℝ)

Distinct117
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.467337
Minimum19
Maximum506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:58.100512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile26
Q139
median65
Q3111
95-th percentile258.2
Maximum506
Range487
Interquartile range (IQR)72

Descriptive statistics

Standard deviation85.868161
Coefficient of variation (CV)0.91869699
Kurtosis7.3177278
Mean93.467337
Median Absolute Deviation (MAD)30
Skewness2.4689265
Sum18600
Variance7373.3411
MonotonicityNot monotonic
2023-12-10T15:26:58.378852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 6
 
3.0%
37 5
 
2.5%
31 5
 
2.5%
51 5
 
2.5%
34 5
 
2.5%
79 4
 
2.0%
30 4
 
2.0%
63 4
 
2.0%
59 4
 
2.0%
26 4
 
2.0%
Other values (107) 153
76.9%
ValueCountFrequency (%)
19 1
 
0.5%
22 2
1.0%
23 1
 
0.5%
24 2
1.0%
25 3
1.5%
26 4
2.0%
27 1
 
0.5%
28 2
1.0%
29 2
1.0%
30 4
2.0%
ValueCountFrequency (%)
506 1
0.5%
495 1
0.5%
489 1
0.5%
384 1
0.5%
382 1
0.5%
348 1
0.5%
294 1
0.5%
282 1
0.5%
276 1
0.5%
269 1
0.5%

3.27
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.286432
Minimum3
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:58.600113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q321
95-th percentile57.1
Maximum179
Range176
Interquartile range (IQR)14

Descriptive statistics

Standard deviation22.012012
Coefficient of variation (CV)1.2037346
Kurtosis17.833152
Mean18.286432
Median Absolute Deviation (MAD)5
Skewness3.6000424
Sum3639
Variance484.52865
MonotonicityNot monotonic
2023-12-10T15:26:58.928372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 21
 
10.6%
7 17
 
8.5%
10 15
 
7.5%
6 13
 
6.5%
4 12
 
6.0%
8 12
 
6.0%
9 10
 
5.0%
13 10
 
5.0%
11 9
 
4.5%
14 6
 
3.0%
Other values (40) 74
37.2%
ValueCountFrequency (%)
3 3
 
1.5%
4 12
6.0%
5 21
10.6%
6 13
6.5%
7 17
8.5%
8 12
6.0%
9 10
5.0%
10 15
7.5%
11 9
4.5%
12 4
 
2.0%
ValueCountFrequency (%)
179 1
0.5%
112 1
0.5%
111 1
0.5%
106 1
0.5%
84 1
0.5%
81 1
0.5%
69 1
0.5%
68 1
0.5%
59 1
0.5%
58 1
0.5%

3.28
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.81407
Minimum3
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:59.182662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q320.5
95-th percentile42.1
Maximum81
Range78
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation13.351904
Coefficient of variation (CV)0.84430533
Kurtosis4.8894567
Mean15.81407
Median Absolute Deviation (MAD)5
Skewness2.018099
Sum3147
Variance178.27334
MonotonicityNot monotonic
2023-12-10T15:26:59.427826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6 17
 
8.5%
10 17
 
8.5%
8 16
 
8.0%
5 15
 
7.5%
7 13
 
6.5%
4 11
 
5.5%
11 11
 
5.5%
12 11
 
5.5%
14 7
 
3.5%
15 6
 
3.0%
Other values (34) 75
37.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 11
5.5%
5 15
7.5%
6 17
8.5%
7 13
6.5%
8 16
8.0%
9 4
 
2.0%
10 17
8.5%
11 11
5.5%
12 11
5.5%
ValueCountFrequency (%)
81 1
 
0.5%
70 1
 
0.5%
67 1
 
0.5%
63 1
 
0.5%
51 2
1.0%
46 2
1.0%
43 2
1.0%
42 1
 
0.5%
41 1
 
0.5%
40 3
1.5%

4.26
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.025126
Minimum3
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:59.721412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q320
95-th percentile49.5
Maximum114
Range111
Interquartile range (IQR)13

Descriptive statistics

Standard deviation16.26561
Coefficient of variation (CV)0.95538855
Kurtosis8.6388168
Mean17.025126
Median Absolute Deviation (MAD)5
Skewness2.5605108
Sum3388
Variance264.57007
MonotonicityNot monotonic
2023-12-10T15:26:59.990593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
6 20
 
10.1%
5 14
 
7.0%
9 14
 
7.0%
11 13
 
6.5%
7 12
 
6.0%
8 11
 
5.5%
4 11
 
5.5%
12 9
 
4.5%
14 9
 
4.5%
10 8
 
4.0%
Other values (38) 78
39.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 11
5.5%
5 14
7.0%
6 20
10.1%
7 12
6.0%
8 11
5.5%
9 14
7.0%
10 8
 
4.0%
11 13
6.5%
12 9
4.5%
ValueCountFrequency (%)
114 1
0.5%
89 1
0.5%
69 1
0.5%
66 1
0.5%
65 1
0.5%
63 1
0.5%
60 2
1.0%
58 1
0.5%
54 1
0.5%
49 1
0.5%

4.27
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.623116
Minimum3
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:00.467877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.9
Q17
median11
Q316
95-th percentile41.1
Maximum111
Range108
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.597245
Coefficient of variation (CV)0.86146106
Kurtosis17.812261
Mean14.623116
Median Absolute Deviation (MAD)4
Skewness3.3065862
Sum2910
Variance158.69057
MonotonicityNot monotonic
2023-12-10T15:27:01.082031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 22
 
11.1%
6 15
 
7.5%
13 14
 
7.0%
5 13
 
6.5%
9 13
 
6.5%
10 13
 
6.5%
12 12
 
6.0%
11 10
 
5.0%
14 10
 
5.0%
4 9
 
4.5%
Other values (29) 68
34.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 9
4.5%
5 13
6.5%
6 15
7.5%
7 22
11.1%
8 8
 
4.0%
9 13
6.5%
10 13
6.5%
11 10
5.0%
12 12
6.0%
ValueCountFrequency (%)
111 1
 
0.5%
60 1
 
0.5%
48 2
1.0%
46 4
2.0%
45 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
37 2
1.0%
36 2
1.0%
34 1
 
0.5%

0.18
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
173 
1
22 
6
 
2
13
 
1
4
 
1

Length

Max length2
Median length1
Mean length1.0050251
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 173
86.9%
1 22
 
11.1%
6 2
 
1.0%
13 1
 
0.5%
4 1
 
0.5%

Length

2023-12-10T15:27:01.698282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:01.911177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 173
86.9%
1 22
 
11.1%
6 2
 
1.0%
13 1
 
0.5%
4 1
 
0.5%

5.12
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.256281
Minimum2
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:02.135302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median13
Q318
95-th percentile38
Maximum66
Range64
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.090482
Coefficient of variation (CV)0.66139852
Kurtosis5.2931955
Mean15.256281
Median Absolute Deviation (MAD)5
Skewness2.0143109
Sum3036
Variance101.81783
MonotonicityNot monotonic
2023-12-10T15:27:02.792576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 15
 
7.5%
12 14
 
7.0%
6 13
 
6.5%
9 13
 
6.5%
18 13
 
6.5%
13 11
 
5.5%
15 11
 
5.5%
8 10
 
5.0%
7 10
 
5.0%
11 10
 
5.0%
Other values (29) 79
39.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 2
 
1.0%
5 7
3.5%
6 13
6.5%
7 10
5.0%
8 10
5.0%
9 13
6.5%
10 15
7.5%
11 10
5.0%
ValueCountFrequency (%)
66 1
 
0.5%
56 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
47 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
38 3
1.5%
36 1
 
0.5%

3.29
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.21608
Minimum4
Maximum280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:03.028943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q17
median11
Q324.5
95-th percentile81.6
Maximum280
Range276
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation39.370149
Coefficient of variation (CV)1.5613112
Kurtosis17.229255
Mean25.21608
Median Absolute Deviation (MAD)5
Skewness3.8180654
Sum5018
Variance1550.0086
MonotonicityNot monotonic
2023-12-10T15:27:03.245503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 19
 
9.5%
5 18
 
9.0%
9 17
 
8.5%
6 14
 
7.0%
12 13
 
6.5%
4 12
 
6.0%
10 9
 
4.5%
8 7
 
3.5%
11 6
 
3.0%
14 5
 
2.5%
Other values (43) 79
39.7%
ValueCountFrequency (%)
4 12
6.0%
5 18
9.0%
6 14
7.0%
7 19
9.5%
8 7
 
3.5%
9 17
8.5%
10 9
4.5%
11 6
 
3.0%
12 13
6.5%
13 5
 
2.5%
ValueCountFrequency (%)
280 1
0.5%
228 1
0.5%
225 1
0.5%
206 1
0.5%
165 1
0.5%
141 1
0.5%
111 1
0.5%
109 1
0.5%
98 1
0.5%
87 1
0.5%

3.30
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.708543
Minimum3
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:03.518079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median10
Q321.5
95-th percentile43
Maximum82
Range79
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation14.104426
Coefficient of variation (CV)0.89788251
Kurtosis4.7090747
Mean15.708543
Median Absolute Deviation (MAD)5
Skewness1.9834348
Sum3126
Variance198.93483
MonotonicityNot monotonic
2023-12-10T15:27:03.767200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5 21
 
10.6%
7 19
 
9.5%
4 13
 
6.5%
9 13
 
6.5%
10 10
 
5.0%
6 10
 
5.0%
8 9
 
4.5%
11 9
 
4.5%
3 8
 
4.0%
12 7
 
3.5%
Other values (35) 80
40.2%
ValueCountFrequency (%)
3 8
 
4.0%
4 13
6.5%
5 21
10.6%
6 10
5.0%
7 19
9.5%
8 9
4.5%
9 13
6.5%
10 10
5.0%
11 9
4.5%
12 7
 
3.5%
ValueCountFrequency (%)
82 1
 
0.5%
78 1
 
0.5%
66 1
 
0.5%
63 1
 
0.5%
56 1
 
0.5%
54 1
 
0.5%
51 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
43 3
1.5%

4.28
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.663317
Minimum3
Maximum276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:04.069015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16.5
median11
Q321
95-th percentile53.2
Maximum276
Range273
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation25.53473
Coefficient of variation (CV)1.3681775
Kurtosis53.797836
Mean18.663317
Median Absolute Deviation (MAD)5
Skewness6.1130686
Sum3714
Variance652.02244
MonotonicityNot monotonic
2023-12-10T15:27:04.298138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 19
 
9.5%
5 19
 
9.5%
12 15
 
7.5%
7 14
 
7.0%
8 12
 
6.0%
4 10
 
5.0%
10 9
 
4.5%
11 9
 
4.5%
9 7
 
3.5%
19 6
 
3.0%
Other values (40) 79
39.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 10
5.0%
5 19
9.5%
6 19
9.5%
7 14
7.0%
8 12
6.0%
9 7
 
3.5%
10 9
4.5%
11 9
4.5%
12 15
7.5%
ValueCountFrequency (%)
276 1
0.5%
130 1
0.5%
101 1
0.5%
86 1
0.5%
71 1
0.5%
68 1
0.5%
65 1
0.5%
63 1
0.5%
61 1
0.5%
55 1
0.5%

4.29
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.371859
Minimum4
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:04.568429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q18
median12
Q318
95-th percentile45.1
Maximum150
Range146
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.711169
Coefficient of variation (CV)0.95964474
Kurtosis27.287425
Mean16.371859
Median Absolute Deviation (MAD)5
Skewness4.1406114
Sum3258
Variance246.84082
MonotonicityNot monotonic
2023-12-10T15:27:04.804630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
13 16
 
8.0%
8 15
 
7.5%
6 15
 
7.5%
11 14
 
7.0%
5 13
 
6.5%
10 13
 
6.5%
7 12
 
6.0%
12 10
 
5.0%
14 10
 
5.0%
9 9
 
4.5%
Other values (32) 72
36.2%
ValueCountFrequency (%)
4 5
 
2.5%
5 13
6.5%
6 15
7.5%
7 12
6.0%
8 15
7.5%
9 9
4.5%
10 13
6.5%
11 14
7.0%
12 10
5.0%
13 16
8.0%
ValueCountFrequency (%)
150 1
0.5%
75 1
0.5%
69 1
0.5%
58 1
0.5%
57 1
0.5%
55 1
0.5%
54 1
0.5%
48 1
0.5%
47 1
0.5%
46 1
0.5%

7.7
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.909548
Minimum3
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:05.038746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q110
median15
Q322
95-th percentile45.1
Maximum76
Range73
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.040834
Coefficient of variation (CV)0.67231367
Kurtosis5.2277984
Mean17.909548
Median Absolute Deviation (MAD)6
Skewness2.0073303
Sum3564
Variance144.98168
MonotonicityNot monotonic
2023-12-10T15:27:05.312495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
16 13
 
6.5%
14 12
 
6.0%
11 12
 
6.0%
9 11
 
5.5%
10 10
 
5.0%
8 10
 
5.0%
12 9
 
4.5%
21 9
 
4.5%
23 8
 
4.0%
15 8
 
4.0%
Other values (35) 97
48.7%
ValueCountFrequency (%)
3 3
 
1.5%
4 3
 
1.5%
5 7
3.5%
6 5
2.5%
7 5
2.5%
8 10
5.0%
9 11
5.5%
10 10
5.0%
11 12
6.0%
12 9
4.5%
ValueCountFrequency (%)
76 1
0.5%
69 1
0.5%
60 1
0.5%
57 2
1.0%
52 1
0.5%
51 1
0.5%
48 1
0.5%
47 1
0.5%
46 1
0.5%
45 1
0.5%

21.5
Real number (ℝ)

Distinct94
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.59799
Minimum11
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:05.549335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile22.9
Q135.5
median54
Q377
95-th percentile146
Maximum244
Range233
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation40.793137
Coefficient of variation (CV)0.64142179
Kurtosis4.4967577
Mean63.59799
Median Absolute Deviation (MAD)20
Skewness1.905203
Sum12656
Variance1664.08
MonotonicityNot monotonic
2023-12-10T15:27:05.862277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 5
 
2.5%
33 5
 
2.5%
64 5
 
2.5%
35 5
 
2.5%
39 5
 
2.5%
45 4
 
2.0%
31 4
 
2.0%
56 4
 
2.0%
73 4
 
2.0%
41 4
 
2.0%
Other values (84) 154
77.4%
ValueCountFrequency (%)
11 1
 
0.5%
16 2
1.0%
17 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 2
1.0%
22 2
1.0%
23 3
1.5%
24 4
2.0%
25 4
2.0%
ValueCountFrequency (%)
244 1
0.5%
227 1
0.5%
222 1
0.5%
205 1
0.5%
193 1
0.5%
187 1
0.5%
175 1
0.5%
157 1
0.5%
151 1
0.5%
146 2
1.0%

23.3
Real number (ℝ)

Distinct97
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.457286
Minimum9
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:06.052836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile23.8
Q136.5
median56
Q383.5
95-th percentile155.2
Maximum263
Range254
Interquartile range (IQR)47

Descriptive statistics

Standard deviation45.537607
Coefficient of variation (CV)0.67505839
Kurtosis4.2147951
Mean67.457286
Median Absolute Deviation (MAD)21
Skewness1.8649294
Sum13424
Variance2073.6737
MonotonicityNot monotonic
2023-12-10T15:27:06.296640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 7
 
3.5%
56 6
 
3.0%
41 6
 
3.0%
48 4
 
2.0%
69 4
 
2.0%
32 4
 
2.0%
40 4
 
2.0%
35 4
 
2.0%
26 4
 
2.0%
85 4
 
2.0%
Other values (87) 152
76.4%
ValueCountFrequency (%)
9 1
 
0.5%
12 1
 
0.5%
14 2
1.0%
15 1
 
0.5%
17 1
 
0.5%
20 1
 
0.5%
21 2
1.0%
22 1
 
0.5%
24 3
1.5%
25 1
 
0.5%
ValueCountFrequency (%)
263 1
0.5%
261 1
0.5%
235 1
0.5%
230 1
0.5%
201 1
0.5%
192 1
0.5%
190 1
0.5%
175 1
0.5%
163 1
0.5%
157 1
0.5%

3.31
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.306533
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:06.514942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q316
95-th percentile28.1
Maximum48
Range46
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.0535774
Coefficient of variation (CV)0.65441482
Kurtosis3.6296247
Mean12.306533
Median Absolute Deviation (MAD)4
Skewness1.725097
Sum2449
Variance64.860109
MonotonicityNot monotonic
2023-12-10T15:27:06.705876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
8 18
 
9.0%
5 17
 
8.5%
7 16
 
8.0%
11 15
 
7.5%
9 15
 
7.5%
4 12
 
6.0%
10 11
 
5.5%
6 11
 
5.5%
16 10
 
5.0%
13 9
 
4.5%
Other values (24) 65
32.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 2
 
1.0%
4 12
6.0%
5 17
8.5%
6 11
5.5%
7 16
8.0%
8 18
9.0%
9 15
7.5%
10 11
5.5%
11 15
7.5%
ValueCountFrequency (%)
48 1
 
0.5%
42 2
1.0%
41 1
 
0.5%
37 1
 
0.5%
33 1
 
0.5%
31 1
 
0.5%
30 2
1.0%
29 1
 
0.5%
28 1
 
0.5%
27 3
1.5%

4.30
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.165829
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:06.903603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314.5
95-th percentile30
Maximum46
Range44
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation8.4654758
Coefficient of variation (CV)0.69584043
Kurtosis3.5152259
Mean12.165829
Median Absolute Deviation (MAD)4
Skewness1.8131023
Sum2421
Variance71.664281
MonotonicityNot monotonic
2023-12-10T15:27:07.148292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 17
 
8.5%
5 16
 
8.0%
4 16
 
8.0%
9 16
 
8.0%
10 16
 
8.0%
11 15
 
7.5%
8 13
 
6.5%
6 12
 
6.0%
12 11
 
5.5%
15 8
 
4.0%
Other values (25) 59
29.6%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 16
8.0%
5 16
8.0%
6 12
6.0%
7 17
8.5%
8 13
6.5%
9 16
8.0%
10 16
8.0%
11 15
7.5%
ValueCountFrequency (%)
46 2
1.0%
45 1
 
0.5%
39 1
 
0.5%
36 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
32 2
1.0%
30 4
2.0%
29 1
 
0.5%
28 3
1.5%

0.19
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.26130653
Minimum0
Maximum12
Zeros172
Zeros (%)86.4%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:07.305991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1335384
Coefficient of variation (CV)4.3379644
Kurtosis67.388916
Mean0.26130653
Median Absolute Deviation (MAD)0
Skewness7.6045739
Sum52
Variance1.2849094
MonotonicityNot monotonic
2023-12-10T15:27:07.483739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 172
86.4%
1 23
 
11.6%
12 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
ValueCountFrequency (%)
0 172
86.4%
1 23
 
11.6%
4 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
1 23
 
11.6%
0 172
86.4%

4.31
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.698492
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:07.690383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q315
95-th percentile29
Maximum50
Range48
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.5693574
Coefficient of variation (CV)0.67483266
Kurtosis3.8614371
Mean12.698492
Median Absolute Deviation (MAD)4
Skewness1.8057508
Sum2527
Variance73.433887
MonotonicityNot monotonic
2023-12-10T15:27:07.926131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 18
 
9.0%
8 17
 
8.5%
13 15
 
7.5%
7 15
 
7.5%
9 14
 
7.0%
4 14
 
7.0%
10 12
 
6.0%
5 10
 
5.0%
14 9
 
4.5%
15 9
 
4.5%
Other values (26) 66
33.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 14
7.0%
5 10
5.0%
6 18
9.0%
7 15
7.5%
8 17
8.5%
9 14
7.0%
10 12
6.0%
11 8
4.0%
ValueCountFrequency (%)
50 1
0.5%
46 1
0.5%
44 1
0.5%
42 1
0.5%
41 1
0.5%
36 2
1.0%
33 1
0.5%
31 1
0.5%
29 2
1.0%
28 2
1.0%

4.32
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.683417
Minimum2
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:08.135153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314
95-th percentile28.1
Maximum44
Range42
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.9553855
Coefficient of variation (CV)0.68091256
Kurtosis4.0933491
Mean11.683417
Median Absolute Deviation (MAD)4
Skewness1.8950193
Sum2325
Variance63.288158
MonotonicityNot monotonic
2023-12-10T15:27:08.364767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
8 22
 
11.1%
7 22
 
11.1%
5 18
 
9.0%
14 15
 
7.5%
13 12
 
6.0%
11 11
 
5.5%
9 10
 
5.0%
10 10
 
5.0%
4 10
 
5.0%
15 9
 
4.5%
Other values (23) 60
30.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 5
 
2.5%
4 10
5.0%
5 18
9.0%
6 8
 
4.0%
7 22
11.1%
8 22
11.1%
9 10
5.0%
10 10
5.0%
11 11
5.5%
ValueCountFrequency (%)
44 1
0.5%
42 1
0.5%
41 1
0.5%
40 1
0.5%
37 2
1.0%
35 2
1.0%
31 1
0.5%
29 1
0.5%
28 1
0.5%
27 2
1.0%

6.17
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.40201
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:08.567653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median12
Q319
95-th percentile36.3
Maximum70
Range69
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.421634
Coefficient of variation (CV)0.79305836
Kurtosis5.098918
Mean14.40201
Median Absolute Deviation (MAD)6
Skewness1.8903544
Sum2866
Variance130.45373
MonotonicityNot monotonic
2023-12-10T15:27:08.773966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 12
 
6.0%
3 12
 
6.0%
13 10
 
5.0%
16 10
 
5.0%
19 10
 
5.0%
4 9
 
4.5%
20 9
 
4.5%
7 9
 
4.5%
8 9
 
4.5%
6 9
 
4.5%
Other values (32) 100
50.3%
ValueCountFrequency (%)
1 7
3.5%
2 7
3.5%
3 12
6.0%
4 9
4.5%
5 5
2.5%
6 9
4.5%
7 9
4.5%
8 9
4.5%
9 7
3.5%
10 12
6.0%
ValueCountFrequency (%)
70 1
0.5%
63 1
0.5%
56 1
0.5%
53 1
0.5%
51 1
0.5%
43 1
0.5%
42 1
0.5%
41 1
0.5%
39 2
1.0%
36 1
0.5%

4.33
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.512563
Minimum3
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:09.032480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median11
Q318
95-th percentile39
Maximum61
Range58
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.75196
Coefficient of variation (CV)0.74087258
Kurtosis2.7535748
Mean14.512563
Median Absolute Deviation (MAD)5
Skewness1.6658957
Sum2888
Variance115.60464
MonotonicityNot monotonic
2023-12-10T15:27:09.230945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5 19
 
9.5%
8 17
 
8.5%
7 16
 
8.0%
10 16
 
8.0%
6 12
 
6.0%
9 10
 
5.0%
17 9
 
4.5%
11 9
 
4.5%
13 8
 
4.0%
12 8
 
4.0%
Other values (31) 75
37.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 8
4.0%
5 19
9.5%
6 12
6.0%
7 16
8.0%
8 17
8.5%
9 10
5.0%
10 16
8.0%
11 9
4.5%
12 8
4.0%
ValueCountFrequency (%)
61 1
 
0.5%
56 1
 
0.5%
45 2
1.0%
44 1
 
0.5%
41 1
 
0.5%
40 3
1.5%
39 2
1.0%
38 1
 
0.5%
37 1
 
0.5%
35 3
1.5%

3.32
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.994975
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:09.476420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q314
95-th percentile33
Maximum48
Range47
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.6512403
Coefficient of variation (CV)0.80460696
Kurtosis3.2046875
Mean11.994975
Median Absolute Deviation (MAD)4
Skewness1.8505145
Sum2387
Variance93.146439
MonotonicityNot monotonic
2023-12-10T15:27:09.727798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 20
 
10.1%
6 19
 
9.5%
7 18
 
9.0%
9 17
 
8.5%
10 13
 
6.5%
8 12
 
6.0%
4 11
 
5.5%
11 10
 
5.0%
12 9
 
4.5%
3 8
 
4.0%
Other values (28) 62
31.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 8
 
4.0%
4 11
5.5%
5 20
10.1%
6 19
9.5%
7 18
9.0%
8 12
6.0%
9 17
8.5%
10 13
6.5%
ValueCountFrequency (%)
48 1
 
0.5%
47 1
 
0.5%
45 3
1.5%
43 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
33 2
1.0%
32 1
 
0.5%
31 3
1.5%

4.34
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.427136
Minimum2
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:09.960570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q314
95-th percentile34.1
Maximum61
Range59
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.08166
Coefficient of variation (CV)0.81126175
Kurtosis6.1547666
Mean12.427136
Median Absolute Deviation (MAD)4
Skewness2.2653663
Sum2473
Variance101.63987
MonotonicityNot monotonic
2023-12-10T15:27:10.184116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 21
 
10.6%
8 19
 
9.5%
5 16
 
8.0%
4 14
 
7.0%
9 14
 
7.0%
7 11
 
5.5%
11 11
 
5.5%
13 10
 
5.0%
10 10
 
5.0%
12 9
 
4.5%
Other values (28) 64
32.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 7
 
3.5%
4 14
7.0%
5 16
8.0%
6 21
10.6%
7 11
5.5%
8 19
9.5%
9 14
7.0%
10 10
5.0%
11 11
5.5%
ValueCountFrequency (%)
61 1
0.5%
59 1
0.5%
49 1
0.5%
48 1
0.5%
45 1
0.5%
43 1
0.5%
40 1
0.5%
36 2
1.0%
35 1
0.5%
34 1
0.5%

5.13
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.949749
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:10.420170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q315
95-th percentile30.1
Maximum49
Range48
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.6921239
Coefficient of variation (CV)0.72738968
Kurtosis4.568257
Mean11.949749
Median Absolute Deviation (MAD)4
Skewness1.9505238
Sum2378
Variance75.553018
MonotonicityNot monotonic
2023-12-10T15:27:11.194305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 20
 
10.1%
6 17
 
8.5%
8 15
 
7.5%
14 14
 
7.0%
5 14
 
7.0%
10 12
 
6.0%
12 12
 
6.0%
9 10
 
5.0%
16 10
 
5.0%
15 9
 
4.5%
Other values (25) 66
33.2%
ValueCountFrequency (%)
1 3
 
1.5%
2 6
 
3.0%
3 4
 
2.0%
4 8
 
4.0%
5 14
7.0%
6 17
8.5%
7 20
10.1%
8 15
7.5%
9 10
5.0%
10 12
6.0%
ValueCountFrequency (%)
49 1
0.5%
46 1
0.5%
44 2
1.0%
41 2
1.0%
36 1
0.5%
35 1
0.5%
32 1
0.5%
31 1
0.5%
30 1
0.5%
29 1
0.5%

7.8
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.984925
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:11.391434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q323
95-th percentile43.2
Maximum80
Range79
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.997647
Coefficient of variation (CV)0.82412181
Kurtosis4.2661154
Mean16.984925
Median Absolute Deviation (MAD)8
Skewness1.7329641
Sum3380
Variance195.93412
MonotonicityNot monotonic
2023-12-10T15:27:11.605811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2 15
 
7.5%
3 11
 
5.5%
16 9
 
4.5%
1 9
 
4.5%
25 8
 
4.0%
11 8
 
4.0%
19 8
 
4.0%
13 8
 
4.0%
8 8
 
4.0%
15 7
 
3.5%
Other values (34) 108
54.3%
ValueCountFrequency (%)
1 9
4.5%
2 15
7.5%
3 11
5.5%
4 5
 
2.5%
5 1
 
0.5%
6 2
 
1.0%
7 6
 
3.0%
8 8
4.0%
9 7
3.5%
10 7
3.5%
ValueCountFrequency (%)
80 1
 
0.5%
77 1
 
0.5%
65 2
1.0%
61 1
 
0.5%
53 1
 
0.5%
50 3
1.5%
45 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
41 2
1.0%

10.5
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.738693
Minimum9
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:11.826380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11
Q117
median28
Q340.5
95-th percentile80.5
Maximum146
Range137
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation23.639593
Coefficient of variation (CV)0.70066712
Kurtosis4.8694303
Mean33.738693
Median Absolute Deviation (MAD)11
Skewness1.9913612
Sum6714
Variance558.83036
MonotonicityNot monotonic
2023-12-10T15:27:12.097131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 9
 
4.5%
15 8
 
4.0%
21 7
 
3.5%
30 7
 
3.5%
11 7
 
3.5%
32 6
 
3.0%
17 6
 
3.0%
16 6
 
3.0%
24 6
 
3.0%
18 6
 
3.0%
Other values (56) 131
65.8%
ValueCountFrequency (%)
9 2
 
1.0%
10 4
2.0%
11 7
3.5%
12 9
4.5%
13 4
2.0%
14 6
3.0%
15 8
4.0%
16 6
3.0%
17 6
3.0%
18 6
3.0%
ValueCountFrequency (%)
146 1
0.5%
136 1
0.5%
112 1
0.5%
110 1
0.5%
104 1
0.5%
102 1
0.5%
101 1
0.5%
94 1
0.5%
88 1
0.5%
85 1
0.5%

10.6
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.894472
Minimum9
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:12.356809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile12
Q118
median30
Q345
95-th percentile107.2
Maximum224
Range215
Interquartile range (IQR)27

Descriptive statistics

Standard deviation32.770458
Coefficient of variation (CV)0.84254796
Kurtosis9.4662563
Mean38.894472
Median Absolute Deviation (MAD)12
Skewness2.7035041
Sum7740
Variance1073.9029
MonotonicityNot monotonic
2023-12-10T15:27:12.595172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 8
 
4.0%
32 7
 
3.5%
12 7
 
3.5%
18 7
 
3.5%
17 7
 
3.5%
13 7
 
3.5%
26 6
 
3.0%
11 6
 
3.0%
15 6
 
3.0%
31 5
 
2.5%
Other values (60) 133
66.8%
ValueCountFrequency (%)
9 1
 
0.5%
11 6
3.0%
12 7
3.5%
13 7
3.5%
14 4
2.0%
15 6
3.0%
16 8
4.0%
17 7
3.5%
18 7
3.5%
19 5
2.5%
ValueCountFrequency (%)
224 1
0.5%
195 1
0.5%
180 1
0.5%
167 1
0.5%
128 1
0.5%
120 2
1.0%
114 1
0.5%
109 2
1.0%
107 1
0.5%
105 1
0.5%

1130510100000030123
Real number (ℝ)

Distinct198
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1433395 × 1018
Minimum1.1305101 × 1018
Maximum1.1680118 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:12.826393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1305101 × 1018
5-th percentile1.1305101 × 1018
Q11.1305102 × 1018
median1.1305104 × 1018
Q31.1500109 × 1018
95-th percentile1.1680108 × 1018
Maximum1.1680118 × 1018
Range3.75017 × 1016
Interquartile range (IQR)1.950065 × 1016

Descriptive statistics

Standard deviation1.4912475 × 1016
Coefficient of variation (CV)0.013042911
Kurtosis-1.1753595
Mean1.1433395 × 1018
Median Absolute Deviation (MAD)2.9999886 × 1011
Skewness0.60762641
Sum6.1636305 × 1018
Variance2.223819 × 1032
MonotonicityNot monotonic
2023-12-10T15:27:13.091315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1130510100007660030 2
 
1.0%
1130510300005550050 1
 
0.5%
1150010200005140024 1
 
0.5%
1130510100004030036 1
 
0.5%
1150010300001110065 1
 
0.5%
1130510100007912243 1
 
0.5%
1130510300004720403 1
 
0.5%
1130510300004350075 1
 
0.5%
1150010900002170145 1
 
0.5%
1168010300001650003 1
 
0.5%
Other values (188) 188
94.5%
ValueCountFrequency (%)
1130510100000030138 1
0.5%
1130510100000490163 1
0.5%
1130510100000540061 1
0.5%
1130510100000750179 1
0.5%
1130510100001300102 1
0.5%
1130510100001360140 1
0.5%
1130510100001390074 1
0.5%
1130510100001580015 1
0.5%
1130510100001580053 1
0.5%
1130510100001870019 1
0.5%
ValueCountFrequency (%)
1168011800004620000 1
0.5%
1168011400007260002 1
0.5%
1168011400006300003 1
0.5%
1168010800002710016 1
0.5%
1168010800002590009 1
0.5%
1168010800002170014 1
0.5%
1168010800001590001 1
0.5%
1168010800001540019 1
0.5%
1168010800001100027 1
0.5%
1168010800000730006 1
0.5%

0.20
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
155 
1
40 
7
 
2
12
 
1
6
 
1

Length

Max length2
Median length1
Mean length1.0050251
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 155
77.9%
1 40
 
20.1%
7 2
 
1.0%
12 1
 
0.5%
6 1
 
0.5%

Length

2023-12-10T15:27:13.310915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:27:13.490668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
77.9%
1 40
 
20.1%
7 2
 
1.0%
12 1
 
0.5%
6 1
 
0.5%

2.43
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.281407
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:13.710030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q37.5
95-th percentile17
Maximum38
Range37
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation4.9940577
Coefficient of variation (CV)0.79505398
Kurtosis9.3292575
Mean6.281407
Median Absolute Deviation (MAD)2
Skewness2.4742602
Sum1250
Variance24.940612
MonotonicityNot monotonic
2023-12-10T15:27:13.951777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2 31
15.6%
3 30
15.1%
4 27
13.6%
5 23
11.6%
6 21
10.6%
7 14
7.0%
10 11
 
5.5%
9 7
 
3.5%
8 6
 
3.0%
11 5
 
2.5%
Other values (12) 24
12.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 31
15.6%
3 30
15.1%
4 27
13.6%
5 23
11.6%
6 21
10.6%
7 14
7.0%
8 6
 
3.0%
9 7
 
3.5%
10 11
 
5.5%
ValueCountFrequency (%)
38 1
 
0.5%
26 1
 
0.5%
22 1
 
0.5%
20 2
1.0%
19 3
1.5%
18 1
 
0.5%
17 2
1.0%
16 1
 
0.5%
15 3
1.5%
14 2
1.0%

2.44
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4974874
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:14.159941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile16
Maximum38
Range37
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.1166932
Coefficient of variation (CV)0.78748797
Kurtosis8.4827221
Mean6.4974874
Median Absolute Deviation (MAD)2
Skewness2.4100906
Sum1293
Variance26.180549
MonotonicityNot monotonic
2023-12-10T15:27:14.348077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3 32
16.1%
2 28
14.1%
5 28
14.1%
4 23
11.6%
6 18
9.0%
7 18
9.0%
8 11
 
5.5%
10 6
 
3.0%
14 5
 
2.5%
16 5
 
2.5%
Other values (11) 25
12.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 28
14.1%
3 32
16.1%
4 23
11.6%
5 28
14.1%
6 18
9.0%
7 18
9.0%
8 11
 
5.5%
9 5
 
2.5%
10 6
 
3.0%
ValueCountFrequency (%)
38 1
 
0.5%
26 1
 
0.5%
24 1
 
0.5%
21 4
2.0%
18 1
 
0.5%
16 5
2.5%
15 3
1.5%
14 5
2.5%
13 3
1.5%
12 2
 
1.0%

2.45
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1356784
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:14.550207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile19
Maximum51
Range50
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.5053733
Coefficient of variation (CV)0.91166852
Kurtosis15.188236
Mean7.1356784
Median Absolute Deviation (MAD)2
Skewness3.311496
Sum1420
Variance42.319882
MonotonicityNot monotonic
2023-12-10T15:27:14.764198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 38
19.1%
4 30
15.1%
6 21
10.6%
2 18
9.0%
9 17
8.5%
5 15
 
7.5%
7 15
 
7.5%
8 9
 
4.5%
11 5
 
2.5%
13 4
 
2.0%
Other values (17) 27
13.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 18
9.0%
3 38
19.1%
4 30
15.1%
5 15
 
7.5%
6 21
10.6%
7 15
 
7.5%
8 9
 
4.5%
9 17
8.5%
10 4
 
2.0%
ValueCountFrequency (%)
51 1
 
0.5%
40 1
 
0.5%
35 1
 
0.5%
33 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
21 2
1.0%
20 1
 
0.5%
19 3
1.5%
18 1
 
0.5%

2.46
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2361809
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:14.953981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q37
95-th percentile16.1
Maximum51
Range50
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.1805286
Coefficient of variation (CV)0.83072134
Kurtosis28.35495
Mean6.2361809
Median Absolute Deviation (MAD)2
Skewness4.0996878
Sum1241
Variance26.837876
MonotonicityNot monotonic
2023-12-10T15:27:15.143783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
4 29
14.6%
3 29
14.6%
6 28
14.1%
2 26
13.1%
5 22
11.1%
7 20
10.1%
8 10
 
5.0%
11 5
 
2.5%
9 5
 
2.5%
10 5
 
2.5%
Other values (11) 20
10.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 26
13.1%
3 29
14.6%
4 29
14.6%
5 22
11.1%
6 28
14.1%
7 20
10.1%
8 10
 
5.0%
9 5
 
2.5%
10 5
 
2.5%
ValueCountFrequency (%)
51 1
 
0.5%
22 1
 
0.5%
20 3
1.5%
19 2
1.0%
18 2
1.0%
17 1
 
0.5%
16 3
1.5%
14 1
 
0.5%
13 2
1.0%
12 2
1.0%

3.33
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3969849
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:15.395529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile16.2
Maximum32
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.777704
Coefficient of variation (CV)0.64589884
Kurtosis6.68522
Mean7.3969849
Median Absolute Deviation (MAD)2
Skewness2.1688266
Sum1472
Variance22.826456
MonotonicityNot monotonic
2023-12-10T15:27:15.589327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 25
12.6%
7 24
12.1%
6 23
11.6%
5 22
11.1%
9 22
11.1%
3 17
8.5%
8 13
6.5%
10 13
6.5%
2 11
5.5%
11 6
 
3.0%
Other values (12) 23
11.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 11
5.5%
3 17
8.5%
4 25
12.6%
5 22
11.1%
6 23
11.6%
7 24
12.1%
8 13
6.5%
9 22
11.1%
10 13
6.5%
ValueCountFrequency (%)
32 1
 
0.5%
29 1
 
0.5%
26 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
19 3
1.5%
18 2
1.0%
16 3
1.5%
15 2
1.0%
14 3
1.5%

2.47
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.120603
Minimum2
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:15.809922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q38.5
95-th percentile21.2
Maximum69
Range67
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation9.8157536
Coefficient of variation (CV)1.2087469
Kurtosis16.744512
Mean8.120603
Median Absolute Deviation (MAD)2
Skewness3.7249056
Sum1616
Variance96.349018
MonotonicityNot monotonic
2023-12-10T15:27:16.010441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4 34
17.1%
3 32
16.1%
2 27
13.6%
5 20
10.1%
7 13
 
6.5%
6 12
 
6.0%
8 11
 
5.5%
12 6
 
3.0%
10 5
 
2.5%
13 5
 
2.5%
Other values (18) 34
17.1%
ValueCountFrequency (%)
2 27
13.6%
3 32
16.1%
4 34
17.1%
5 20
10.1%
6 12
 
6.0%
7 13
 
6.5%
8 11
 
5.5%
9 4
 
2.0%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
69 1
 
0.5%
66 1
 
0.5%
53 1
 
0.5%
49 1
 
0.5%
43 1
 
0.5%
40 1
 
0.5%
31 2
1.0%
26 1
 
0.5%
23 1
 
0.5%
21 4
2.0%

2.48
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9698492
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:16.209531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38.5
95-th percentile21
Maximum46
Range45
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.6080067
Coefficient of variation (CV)0.9480846
Kurtosis9.4104365
Mean6.9698492
Median Absolute Deviation (MAD)2
Skewness2.6525251
Sum1387
Variance43.665753
MonotonicityNot monotonic
2023-12-10T15:27:16.395236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 34
17.1%
3 33
16.6%
4 27
13.6%
5 23
11.6%
6 12
 
6.0%
7 10
 
5.0%
9 10
 
5.0%
8 8
 
4.0%
10 5
 
2.5%
14 5
 
2.5%
Other values (15) 32
16.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 34
17.1%
3 33
16.6%
4 27
13.6%
5 23
11.6%
6 12
 
6.0%
7 10
 
5.0%
8 8
 
4.0%
9 10
 
5.0%
10 5
 
2.5%
ValueCountFrequency (%)
46 1
 
0.5%
38 1
 
0.5%
35 1
 
0.5%
25 3
1.5%
22 2
1.0%
21 3
1.5%
19 2
1.0%
18 2
1.0%
17 1
 
0.5%
16 2
1.0%

2.49
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8592965
Minimum1
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:16.640287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile19.2
Maximum91
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.4681978
Coefficient of variation (CV)1.2047131
Kurtosis33.679623
Mean7.8592965
Median Absolute Deviation (MAD)2
Skewness4.9057228
Sum1564
Variance89.646769
MonotonicityNot monotonic
2023-12-10T15:27:16.844556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 39
19.6%
4 29
14.6%
2 21
10.6%
6 21
10.6%
5 16
8.0%
10 10
 
5.0%
7 9
 
4.5%
9 8
 
4.0%
8 8
 
4.0%
16 5
 
2.5%
Other values (17) 33
16.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 21
10.6%
3 39
19.6%
4 29
14.6%
5 16
8.0%
6 21
10.6%
7 9
 
4.5%
8 8
 
4.0%
9 8
 
4.0%
10 10
 
5.0%
ValueCountFrequency (%)
91 1
 
0.5%
51 1
 
0.5%
47 1
 
0.5%
41 2
1.0%
28 2
1.0%
27 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
19 2
1.0%
18 3
1.5%

2.50
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1005025
Minimum2
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:17.016984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q38
95-th percentile17.1
Maximum69
Range67
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.7897687
Coefficient of variation (CV)0.95623778
Kurtosis37.014987
Mean7.1005025
Median Absolute Deviation (MAD)2
Skewness4.9797789
Sum1413
Variance46.100959
MonotonicityNot monotonic
2023-12-10T15:27:17.219589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 31
15.6%
4 26
13.1%
5 25
12.6%
7 23
11.6%
6 22
11.1%
2 17
8.5%
8 13
6.5%
9 10
 
5.0%
12 8
 
4.0%
11 6
 
3.0%
Other values (15) 18
9.0%
ValueCountFrequency (%)
2 17
8.5%
3 31
15.6%
4 26
13.1%
5 25
12.6%
6 22
11.1%
7 23
11.6%
8 13
6.5%
9 10
 
5.0%
10 1
 
0.5%
11 6
 
3.0%
ValueCountFrequency (%)
69 1
0.5%
36 1
0.5%
33 1
0.5%
27 2
1.0%
22 1
0.5%
21 1
0.5%
20 1
0.5%
19 1
0.5%
18 1
0.5%
17 2
1.0%

3.34
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9849246
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:17.407167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median8
Q311
95-th percentile20.1
Maximum37
Range36
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.7712956
Coefficient of variation (CV)0.64233099
Kurtosis5.6113767
Mean8.9849246
Median Absolute Deviation (MAD)3
Skewness2.0160157
Sum1788
Variance33.307852
MonotonicityNot monotonic
2023-12-10T15:27:17.573557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 23
11.6%
7 22
11.1%
9 18
9.0%
4 17
8.5%
8 16
8.0%
11 16
8.0%
6 15
 
7.5%
10 13
 
6.5%
12 10
 
5.0%
3 10
 
5.0%
Other values (16) 39
19.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 7
 
3.5%
3 10
5.0%
4 17
8.5%
5 23
11.6%
6 15
7.5%
7 22
11.1%
8 16
8.0%
9 18
9.0%
10 13
6.5%
ValueCountFrequency (%)
37 1
 
0.5%
35 1
 
0.5%
29 2
1.0%
28 1
 
0.5%
24 1
 
0.5%
23 3
1.5%
21 1
 
0.5%
20 1
 
0.5%
19 3
1.5%
18 3
1.5%

0.21
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50753769
Minimum0
Maximum13
Zeros129
Zeros (%)64.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:17.742290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3021713
Coefficient of variation (CV)2.5656641
Kurtosis51.653737
Mean0.50753769
Median Absolute Deviation (MAD)0
Skewness6.47831
Sum101
Variance1.69565
MonotonicityNot monotonic
2023-12-10T15:27:17.921332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 129
64.8%
1 65
32.7%
13 1
 
0.5%
6 1
 
0.5%
2 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 129
64.8%
1 65
32.7%
2 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
13 1
 
0.5%
8 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
2 1
 
0.5%
1 65
32.7%
0 129
64.8%

12.4
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.603015
Minimum11
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:18.110533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q124
median37
Q367.5
95-th percentile163.6
Maximum424
Range413
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation61.105292
Coefficient of variation (CV)1.0426988
Kurtosis12.062902
Mean58.603015
Median Absolute Deviation (MAD)16
Skewness3.065471
Sum11662
Variance3733.8568
MonotonicityNot monotonic
2023-12-10T15:27:18.340711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 7
 
3.5%
22 7
 
3.5%
29 6
 
3.0%
19 6
 
3.0%
26 6
 
3.0%
36 5
 
2.5%
42 5
 
2.5%
20 5
 
2.5%
31 5
 
2.5%
37 5
 
2.5%
Other values (81) 142
71.4%
ValueCountFrequency (%)
11 1
 
0.5%
12 1
 
0.5%
13 5
2.5%
14 5
2.5%
15 4
2.0%
16 2
 
1.0%
18 7
3.5%
19 6
3.0%
20 5
2.5%
21 3
1.5%
ValueCountFrequency (%)
424 1
0.5%
365 1
0.5%
353 1
0.5%
275 1
0.5%
257 1
0.5%
224 1
0.5%
196 1
0.5%
181 1
0.5%
176 1
0.5%
169 1
0.5%

13.2
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.38191
Minimum12
Maximum548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:18.571175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q125
median40
Q371.5
95-th percentile239.7
Maximum548
Range536
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation88.28841
Coefficient of variation (CV)1.2368457
Kurtosis11.756065
Mean71.38191
Median Absolute Deviation (MAD)18
Skewness3.1741578
Sum14205
Variance7794.8433
MonotonicityNot monotonic
2023-12-10T15:27:18.796294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 8
 
4.0%
15 8
 
4.0%
22 7
 
3.5%
28 6
 
3.0%
32 6
 
3.0%
19 6
 
3.0%
21 5
 
2.5%
37 4
 
2.0%
39 4
 
2.0%
48 4
 
2.0%
Other values (85) 141
70.9%
ValueCountFrequency (%)
12 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
15 8
4.0%
16 4
2.0%
17 1
 
0.5%
18 4
2.0%
19 6
3.0%
20 4
2.0%
21 5
2.5%
ValueCountFrequency (%)
548 1
0.5%
529 1
0.5%
510 1
0.5%
431 1
0.5%
378 1
0.5%
322 1
0.5%
300 1
0.5%
273 1
0.5%
256 1
0.5%
246 1
0.5%

2.51
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.371859
Minimum2
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:19.019799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q312
95-th percentile42
Maximum113
Range111
Interquartile range (IQR)8

Descriptive statistics

Standard deviation16.392053
Coefficient of variation (CV)1.3249466
Kurtosis13.343746
Mean12.371859
Median Absolute Deviation (MAD)3
Skewness3.3380536
Sum2462
Variance268.69941
MonotonicityNot monotonic
2023-12-10T15:27:19.684706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 25
12.6%
6 23
11.6%
4 23
11.6%
5 21
10.6%
2 13
 
6.5%
7 11
 
5.5%
9 10
 
5.0%
8 9
 
4.5%
12 8
 
4.0%
15 5
 
2.5%
Other values (30) 51
25.6%
ValueCountFrequency (%)
2 13
6.5%
3 25
12.6%
4 23
11.6%
5 21
10.6%
6 23
11.6%
7 11
5.5%
8 9
 
4.5%
9 10
 
5.0%
10 3
 
1.5%
11 4
 
2.0%
ValueCountFrequency (%)
113 1
0.5%
92 1
0.5%
89 1
0.5%
79 1
0.5%
72 1
0.5%
61 1
0.5%
60 1
0.5%
49 1
0.5%
43 1
0.5%
42 2
1.0%

2.52
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.437186
Minimum2
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:19.899057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q315
95-th percentile29.1
Maximum106
Range104
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.679404
Coefficient of variation (CV)1.1960463
Kurtosis19.398012
Mean11.437186
Median Absolute Deviation (MAD)3
Skewness3.8697312
Sum2276
Variance187.12608
MonotonicityNot monotonic
2023-12-10T15:27:20.124175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6 26
13.1%
4 21
10.6%
3 19
 
9.5%
5 19
 
9.5%
7 14
 
7.0%
8 14
 
7.0%
2 12
 
6.0%
9 11
 
5.5%
17 6
 
3.0%
22 6
 
3.0%
Other values (22) 51
25.6%
ValueCountFrequency (%)
2 12
6.0%
3 19
9.5%
4 21
10.6%
5 19
9.5%
6 26
13.1%
7 14
7.0%
8 14
7.0%
9 11
5.5%
10 2
 
1.0%
11 2
 
1.0%
ValueCountFrequency (%)
106 1
 
0.5%
86 1
 
0.5%
83 1
 
0.5%
59 1
 
0.5%
56 1
 
0.5%
53 1
 
0.5%
33 3
1.5%
30 1
 
0.5%
29 4
2.0%
26 2
1.0%

2.53
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.904523
Minimum2
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:20.318043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q313.5
95-th percentile39.7
Maximum115
Range113
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation16.762028
Coefficient of variation (CV)1.2989266
Kurtosis14.969078
Mean12.904523
Median Absolute Deviation (MAD)3
Skewness3.5188889
Sum2568
Variance280.96559
MonotonicityNot monotonic
2023-12-10T15:27:20.542702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5 23
11.6%
3 22
 
11.1%
4 22
 
11.1%
7 16
 
8.0%
6 13
 
6.5%
9 11
 
5.5%
8 11
 
5.5%
2 9
 
4.5%
11 9
 
4.5%
10 8
 
4.0%
Other values (35) 55
27.6%
ValueCountFrequency (%)
2 9
 
4.5%
3 22
11.1%
4 22
11.1%
5 23
11.6%
6 13
6.5%
7 16
8.0%
8 11
5.5%
9 11
5.5%
10 8
 
4.0%
11 9
 
4.5%
ValueCountFrequency (%)
115 1
0.5%
103 1
0.5%
99 1
0.5%
77 1
0.5%
67 1
0.5%
65 1
0.5%
57 1
0.5%
49 1
0.5%
47 1
0.5%
46 1
0.5%

2.54
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.758794
Minimum2
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:20.931038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q312
95-th percentile31
Maximum66
Range64
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.265488
Coefficient of variation (CV)1.0470958
Kurtosis10.072806
Mean10.758794
Median Absolute Deviation (MAD)3
Skewness2.9683896
Sum2141
Variance126.91122
MonotonicityNot monotonic
2023-12-10T15:27:21.182493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 28
14.1%
8 23
11.6%
5 19
 
9.5%
3 19
 
9.5%
7 18
 
9.0%
6 17
 
8.5%
14 8
 
4.0%
10 7
 
3.5%
9 7
 
3.5%
2 5
 
2.5%
Other values (24) 48
24.1%
ValueCountFrequency (%)
2 5
 
2.5%
3 19
9.5%
4 28
14.1%
5 19
9.5%
6 17
8.5%
7 18
9.0%
8 23
11.6%
9 7
 
3.5%
10 7
 
3.5%
11 4
 
2.0%
ValueCountFrequency (%)
66 1
0.5%
64 1
0.5%
61 1
0.5%
59 1
0.5%
57 2
1.0%
40 1
0.5%
34 1
0.5%
33 1
0.5%
31 2
1.0%
29 1
0.5%

3.35
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.904523
Minimum2
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:21.383857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q313
95-th percentile25
Maximum40
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.9555537
Coefficient of variation (CV)0.63785953
Kurtosis2.739689
Mean10.904523
Median Absolute Deviation (MAD)3
Skewness1.6049229
Sum2170
Variance48.379727
MonotonicityNot monotonic
2023-12-10T15:27:21.618446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
11 21
10.6%
7 20
10.1%
6 19
 
9.5%
4 17
 
8.5%
5 16
 
8.0%
9 16
 
8.0%
8 12
 
6.0%
13 11
 
5.5%
10 10
 
5.0%
12 8
 
4.0%
Other values (21) 49
24.6%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 17
8.5%
5 16
8.0%
6 19
9.5%
7 20
10.1%
8 12
6.0%
9 16
8.0%
10 10
5.0%
11 21
10.6%
ValueCountFrequency (%)
40 1
 
0.5%
35 2
1.0%
33 1
 
0.5%
32 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
26 2
1.0%
25 2
1.0%
24 2
1.0%
23 4
2.0%

2.55
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.974874
Minimum2
Maximum226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:21.821325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q315
95-th percentile81.4
Maximum226
Range224
Interquartile range (IQR)11

Descriptive statistics

Standard deviation32.859732
Coefficient of variation (CV)1.8280924
Kurtosis18.428676
Mean17.974874
Median Absolute Deviation (MAD)3
Skewness4.0417988
Sum3577
Variance1079.762
MonotonicityNot monotonic
2023-12-10T15:27:22.034766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
3 27
13.6%
4 25
12.6%
5 21
 
10.6%
6 17
 
8.5%
8 12
 
6.0%
7 11
 
5.5%
10 11
 
5.5%
2 7
 
3.5%
11 6
 
3.0%
15 5
 
2.5%
Other values (39) 57
28.6%
ValueCountFrequency (%)
2 7
 
3.5%
3 27
13.6%
4 25
12.6%
5 21
10.6%
6 17
8.5%
7 11
5.5%
8 12
6.0%
9 3
 
1.5%
10 11
5.5%
11 6
 
3.0%
ValueCountFrequency (%)
226 1
0.5%
198 1
0.5%
191 1
0.5%
174 1
0.5%
125 1
0.5%
123 1
0.5%
96 1
0.5%
88 1
0.5%
86 1
0.5%
85 1
0.5%

2.56
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.567839
Minimum2
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:22.257402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q316
95-th percentile35.4
Maximum128
Range126
Interquartile range (IQR)12

Descriptive statistics

Standard deviation17.277421
Coefficient of variation (CV)1.3747328
Kurtosis18.846612
Mean12.567839
Median Absolute Deviation (MAD)3
Skewness3.8841373
Sum2501
Variance298.50926
MonotonicityNot monotonic
2023-12-10T15:27:22.472710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 26
13.1%
4 25
12.6%
5 20
 
10.1%
6 19
 
9.5%
2 15
 
7.5%
7 10
 
5.0%
8 9
 
4.5%
9 5
 
2.5%
25 5
 
2.5%
16 5
 
2.5%
Other values (30) 60
30.2%
ValueCountFrequency (%)
2 15
7.5%
3 26
13.1%
4 25
12.6%
5 20
10.1%
6 19
9.5%
7 10
 
5.0%
8 9
 
4.5%
9 5
 
2.5%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
128 1
0.5%
108 1
0.5%
104 1
0.5%
83 1
0.5%
69 1
0.5%
51 1
0.5%
50 1
0.5%
48 1
0.5%
45 1
0.5%
39 1
0.5%

2.57
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.673367
Minimum2
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:22.679233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median7
Q314
95-th percentile49
Maximum149
Range147
Interquartile range (IQR)10

Descriptive statistics

Standard deviation22.241758
Coefficient of variation (CV)1.515791
Kurtosis16.287382
Mean14.673367
Median Absolute Deviation (MAD)4
Skewness3.761243
Sum2920
Variance494.6958
MonotonicityNot monotonic
2023-12-10T15:27:22.906742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 27
13.6%
4 22
 
11.1%
5 20
 
10.1%
7 17
 
8.5%
6 13
 
6.5%
2 10
 
5.0%
11 9
 
4.5%
8 9
 
4.5%
12 6
 
3.0%
10 5
 
2.5%
Other values (33) 61
30.7%
ValueCountFrequency (%)
2 10
 
5.0%
3 27
13.6%
4 22
11.1%
5 20
10.1%
6 13
6.5%
7 17
8.5%
8 9
 
4.5%
9 5
 
2.5%
10 5
 
2.5%
11 9
 
4.5%
ValueCountFrequency (%)
149 1
0.5%
141 1
0.5%
116 1
0.5%
112 1
0.5%
102 1
0.5%
100 1
0.5%
68 1
0.5%
57 1
0.5%
54 1
0.5%
49 2
1.0%

0.22
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.73869347
Minimum0
Maximum14
Zeros89
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:23.081379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3677602
Coefficient of variation (CV)1.8515937
Kurtosis50.561023
Mean0.73869347
Median Absolute Deviation (MAD)0
Skewness6.2246377
Sum147
Variance1.870768
MonotonicityNot monotonic
2023-12-10T15:27:23.293324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 103
51.8%
0 89
44.7%
6 3
 
1.5%
2 2
 
1.0%
14 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 89
44.7%
1 103
51.8%
2 2
 
1.0%
6 3
 
1.5%
8 1
 
0.5%
14 1
 
0.5%
ValueCountFrequency (%)
14 1
 
0.5%
8 1
 
0.5%
6 3
 
1.5%
2 2
 
1.0%
1 103
51.8%
0 89
44.7%

3.36
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.824121
Minimum2
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:23.511321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile43.3
Maximum92
Range90
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.036126
Coefficient of variation (CV)1.1724878
Kurtosis10.43148
Mean12.824121
Median Absolute Deviation (MAD)3
Skewness3.0348605
Sum2552
Variance226.08507
MonotonicityNot monotonic
2023-12-10T15:27:23.723058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4 24
12.1%
8 23
11.6%
6 19
 
9.5%
5 19
 
9.5%
3 18
 
9.0%
7 14
 
7.0%
9 14
 
7.0%
10 8
 
4.0%
11 5
 
2.5%
14 5
 
2.5%
Other values (29) 50
25.1%
ValueCountFrequency (%)
2 1
 
0.5%
3 18
9.0%
4 24
12.1%
5 19
9.5%
6 19
9.5%
7 14
7.0%
8 23
11.6%
9 14
7.0%
10 8
 
4.0%
11 5
 
2.5%
ValueCountFrequency (%)
92 1
0.5%
83 1
0.5%
81 1
0.5%
80 1
0.5%
72 1
0.5%
57 2
1.0%
47 2
1.0%
46 1
0.5%
43 1
0.5%
36 2
1.0%

4.35
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.477387
Minimum3
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:23.922534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q316
95-th percentile32.2
Maximum50
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.0228801
Coefficient of variation (CV)0.6694829
Kurtosis2.77578
Mean13.477387
Median Absolute Deviation (MAD)4
Skewness1.6523336
Sum2682
Variance81.412365
MonotonicityNot monotonic
2023-12-10T15:27:24.150107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
9 16
 
8.0%
7 15
 
7.5%
13 15
 
7.5%
5 15
 
7.5%
14 14
 
7.0%
6 13
 
6.5%
10 12
 
6.0%
8 12
 
6.0%
11 12
 
6.0%
4 10
 
5.0%
Other values (25) 65
32.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 10
5.0%
5 15
7.5%
6 13
6.5%
7 15
7.5%
8 12
6.0%
9 16
8.0%
10 12
6.0%
11 12
6.0%
12 8
4.0%
ValueCountFrequency (%)
50 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
36 3
1.5%
35 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%

33.2
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.90955
Minimum13
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:24.369904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile35
Q155
median86
Q3122
95-th percentile227.8
Maximum379
Range366
Interquartile range (IQR)67

Descriptive statistics

Standard deviation65.043434
Coefficient of variation (CV)0.63824672
Kurtosis3.6111605
Mean101.90955
Median Absolute Deviation (MAD)33
Skewness1.7282781
Sum20280
Variance4230.6483
MonotonicityNot monotonic
2023-12-10T15:27:24.620737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 5
 
2.5%
61 5
 
2.5%
80 4
 
2.0%
42 4
 
2.0%
35 4
 
2.0%
119 4
 
2.0%
71 3
 
1.5%
127 3
 
1.5%
37 3
 
1.5%
113 3
 
1.5%
Other values (108) 161
80.9%
ValueCountFrequency (%)
13 1
 
0.5%
27 1
 
0.5%
28 2
1.0%
29 1
 
0.5%
30 1
 
0.5%
34 2
1.0%
35 4
2.0%
37 3
1.5%
38 2
1.0%
39 1
 
0.5%
ValueCountFrequency (%)
379 1
0.5%
352 1
0.5%
344 1
0.5%
319 1
0.5%
299 1
0.5%
290 1
0.5%
272 1
0.5%
253 1
0.5%
244 1
0.5%
235 1
0.5%

36.2
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.78392
Minimum15
Maximum507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:24.876309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile40.9
Q161
median91
Q3138.5
95-th percentile273.4
Maximum507
Range492
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation79.848522
Coefficient of variation (CV)0.68963395
Kurtosis5.0304493
Mean115.78392
Median Absolute Deviation (MAD)37
Skewness1.9941039
Sum23041
Variance6375.7864
MonotonicityNot monotonic
2023-12-10T15:27:25.128621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 7
 
3.5%
61 5
 
2.5%
109 5
 
2.5%
41 5
 
2.5%
65 4
 
2.0%
88 4
 
2.0%
124 3
 
1.5%
52 3
 
1.5%
77 3
 
1.5%
132 3
 
1.5%
Other values (108) 157
78.9%
ValueCountFrequency (%)
15 1
 
0.5%
30 1
 
0.5%
33 2
 
1.0%
36 1
 
0.5%
37 1
 
0.5%
38 2
 
1.0%
39 1
 
0.5%
40 1
 
0.5%
41 5
2.5%
43 7
3.5%
ValueCountFrequency (%)
507 1
0.5%
424 1
0.5%
408 1
0.5%
405 1
0.5%
364 1
0.5%
356 1
0.5%
312 1
0.5%
299 1
0.5%
295 2
1.0%
271 1
0.5%

5.14
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.633166
Minimum3
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:25.344793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median15
Q324
95-th percentile42.2
Maximum66
Range63
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.125651
Coefficient of variation (CV)0.65075637
Kurtosis2.6501182
Mean18.633166
Median Absolute Deviation (MAD)6
Skewness1.5627362
Sum3708
Variance147.03142
MonotonicityNot monotonic
2023-12-10T15:27:25.584819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
8 16
 
8.0%
14 13
 
6.5%
9 11
 
5.5%
17 11
 
5.5%
12 11
 
5.5%
11 10
 
5.0%
6 10
 
5.0%
15 9
 
4.5%
16 8
 
4.0%
21 7
 
3.5%
Other values (34) 93
46.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 10
5.0%
7 7
3.5%
8 16
8.0%
9 11
5.5%
10 6
 
3.0%
11 10
5.0%
12 11
5.5%
ValueCountFrequency (%)
66 1
 
0.5%
64 2
1.0%
57 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
47 2
1.0%
44 1
 
0.5%
42 4
2.0%
39 1
 
0.5%

6.18
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.045226
Minimum3
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:25.812864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median16
Q323
95-th percentile46.1
Maximum71
Range68
Interquartile range (IQR)13

Descriptive statistics

Standard deviation12.951462
Coefficient of variation (CV)0.68003719
Kurtosis3.6232945
Mean19.045226
Median Absolute Deviation (MAD)6
Skewness1.7894592
Sum3790
Variance167.74037
MonotonicityNot monotonic
2023-12-10T15:27:26.055430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
13 13
 
6.5%
11 12
 
6.0%
16 12
 
6.0%
8 12
 
6.0%
6 11
 
5.5%
10 10
 
5.0%
7 9
 
4.5%
18 9
 
4.5%
19 8
 
4.0%
23 8
 
4.0%
Other values (35) 95
47.7%
ValueCountFrequency (%)
3 1
 
0.5%
5 4
 
2.0%
6 11
5.5%
7 9
4.5%
8 12
6.0%
9 5
 
2.5%
10 10
5.0%
11 12
6.0%
12 5
 
2.5%
13 13
6.5%
ValueCountFrequency (%)
71 2
1.0%
70 1
 
0.5%
61 1
 
0.5%
55 1
 
0.5%
54 1
 
0.5%
52 1
 
0.5%
50 2
1.0%
47 1
 
0.5%
46 3
1.5%
45 1
 
0.5%

6.19
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.809045
Minimum3
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:26.312648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.9
Q111
median16
Q326
95-th percentile51.5
Maximum102
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.343663
Coefficient of variation (CV)0.73735546
Kurtosis6.1207984
Mean20.809045
Median Absolute Deviation (MAD)7
Skewness2.1737755
Sum4141
Variance235.428
MonotonicityNot monotonic
2023-12-10T15:27:26.587202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
15 12
 
6.0%
11 10
 
5.0%
12 9
 
4.5%
7 9
 
4.5%
10 9
 
4.5%
18 9
 
4.5%
14 9
 
4.5%
20 8
 
4.0%
6 8
 
4.0%
Other values (41) 102
51.3%
ValueCountFrequency (%)
3 1
 
0.5%
5 1
 
0.5%
6 8
4.0%
7 9
4.5%
8 7
3.5%
9 14
7.0%
10 9
4.5%
11 10
5.0%
12 9
4.5%
13 8
4.0%
ValueCountFrequency (%)
102 1
0.5%
82 1
0.5%
77 1
0.5%
72 1
0.5%
68 1
0.5%
65 1
0.5%
63 1
0.5%
61 1
0.5%
56 2
1.0%
51 1
0.5%

6.20
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.251256
Minimum2
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:26.817531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q110
median16
Q322
95-th percentile45.3
Maximum97
Range95
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.750195
Coefficient of variation (CV)0.71424924
Kurtosis7.1496246
Mean19.251256
Median Absolute Deviation (MAD)6
Skewness2.3006031
Sum3831
Variance189.06786
MonotonicityNot monotonic
2023-12-10T15:27:27.028738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
12 14
 
7.0%
8 12
 
6.0%
10 12
 
6.0%
22 11
 
5.5%
16 10
 
5.0%
21 10
 
5.0%
7 10
 
5.0%
20 10
 
5.0%
13 9
 
4.5%
11 8
 
4.0%
Other values (35) 93
46.7%
ValueCountFrequency (%)
2 1
 
0.5%
4 1
 
0.5%
5 4
 
2.0%
6 5
 
2.5%
7 10
5.0%
8 12
6.0%
9 6
3.0%
10 12
6.0%
11 8
4.0%
12 14
7.0%
ValueCountFrequency (%)
97 1
0.5%
70 1
0.5%
68 1
0.5%
65 1
0.5%
63 2
1.0%
57 1
0.5%
55 1
0.5%
54 1
0.5%
48 1
0.5%
45 2
1.0%

9.4
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.58794
Minimum2
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:27.374468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q113
median20
Q330
95-th percentile56.5
Maximum109
Range107
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.852331
Coefficient of variation (CV)0.71444693
Kurtosis6.0706809
Mean23.58794
Median Absolute Deviation (MAD)8
Skewness2.0840314
Sum4694
Variance284.00107
MonotonicityNot monotonic
2023-12-10T15:27:27.655231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 11
 
5.5%
14 10
 
5.0%
16 10
 
5.0%
30 10
 
5.0%
13 8
 
4.0%
24 8
 
4.0%
11 8
 
4.0%
17 7
 
3.5%
31 6
 
3.0%
10 6
 
3.0%
Other values (44) 115
57.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 5
2.5%
5 6
3.0%
6 2
 
1.0%
7 3
 
1.5%
8 2
 
1.0%
9 6
3.0%
10 6
3.0%
11 8
4.0%
ValueCountFrequency (%)
109 1
0.5%
97 1
0.5%
87 1
0.5%
82 1
0.5%
79 1
0.5%
66 1
0.5%
65 1
0.5%
64 1
0.5%
61 2
1.0%
56 1
0.5%

6.21
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.723618
Minimum3
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:27.872517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q111
median16
Q327
95-th percentile59.2
Maximum95
Range92
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16.227206
Coefficient of variation (CV)0.7469845
Kurtosis3.4319454
Mean21.723618
Median Absolute Deviation (MAD)7
Skewness1.8136195
Sum4323
Variance263.32222
MonotonicityNot monotonic
2023-12-10T15:27:28.568524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 17
 
8.5%
12 12
 
6.0%
15 12
 
6.0%
11 11
 
5.5%
13 10
 
5.0%
9 9
 
4.5%
27 9
 
4.5%
10 7
 
3.5%
18 7
 
3.5%
16 7
 
3.5%
Other values (42) 98
49.2%
ValueCountFrequency (%)
3 1
 
0.5%
5 1
 
0.5%
6 4
 
2.0%
7 7
3.5%
8 17
8.5%
9 9
4.5%
10 7
3.5%
11 11
5.5%
12 12
6.0%
13 10
5.0%
ValueCountFrequency (%)
95 1
0.5%
77 1
0.5%
76 1
0.5%
70 2
1.0%
68 1
0.5%
65 1
0.5%
64 1
0.5%
63 1
0.5%
61 1
0.5%
59 1
0.5%

0.23
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68341709
Minimum0
Maximum16
Zeros102
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:28.744644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4443468
Coefficient of variation (CV)2.1134193
Kurtosis67.062206
Mean0.68341709
Median Absolute Deviation (MAD)0
Skewness7.1209261
Sum136
Variance2.0861378
MonotonicityNot monotonic
2023-12-10T15:27:28.918072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 102
51.3%
1 88
44.2%
2 4
 
2.0%
6 2
 
1.0%
16 1
 
0.5%
5 1
 
0.5%
7 1
 
0.5%
ValueCountFrequency (%)
0 102
51.3%
1 88
44.2%
2 4
 
2.0%
5 1
 
0.5%
6 2
 
1.0%
7 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
16 1
 
0.5%
7 1
 
0.5%
6 2
 
1.0%
5 1
 
0.5%
2 4
 
2.0%
1 88
44.2%
0 102
51.3%

5.15
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.869347
Minimum3
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:29.110893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q110
median15
Q324
95-th percentile52
Maximum74
Range71
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.969431
Coefficient of variation (CV)0.7533932
Kurtosis2.6930295
Mean19.869347
Median Absolute Deviation (MAD)7
Skewness1.6786755
Sum3954
Variance224.08385
MonotonicityNot monotonic
2023-12-10T15:27:29.365396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
6.0%
12 11
 
5.5%
16 11
 
5.5%
14 10
 
5.0%
9 10
 
5.0%
10 10
 
5.0%
11 9
 
4.5%
8 9
 
4.5%
6 9
 
4.5%
13 8
 
4.0%
Other values (44) 100
50.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 1
 
0.5%
5 7
3.5%
6 9
4.5%
7 12
6.0%
8 9
4.5%
9 10
5.0%
10 10
5.0%
11 9
4.5%
12 11
5.5%
ValueCountFrequency (%)
74 2
1.0%
71 1
0.5%
70 2
1.0%
66 1
0.5%
57 1
0.5%
54 1
0.5%
53 1
0.5%
52 2
1.0%
51 1
0.5%
50 1
0.5%

6.22
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.713568
Minimum3
Maximum276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:29.588199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.9
Q110
median16
Q329
95-th percentile59.1
Maximum276
Range273
Interquartile range (IQR)19

Descriptive statistics

Standard deviation26.959254
Coefficient of variation (CV)1.1368704
Kurtosis44.970518
Mean23.713568
Median Absolute Deviation (MAD)7
Skewness5.6837384
Sum4719
Variance726.80138
MonotonicityNot monotonic
2023-12-10T15:27:29.842079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 16
 
8.0%
12 13
 
6.5%
10 11
 
5.5%
13 11
 
5.5%
8 10
 
5.0%
16 8
 
4.0%
20 8
 
4.0%
6 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
Other values (47) 100
50.3%
ValueCountFrequency (%)
3 1
 
0.5%
5 1
 
0.5%
6 8
4.0%
7 5
 
2.5%
8 10
5.0%
9 16
8.0%
10 11
5.5%
11 6
 
3.0%
12 13
6.5%
13 11
5.5%
ValueCountFrequency (%)
276 1
0.5%
188 1
0.5%
94 1
0.5%
92 1
0.5%
88 1
0.5%
76 1
0.5%
70 1
0.5%
66 1
0.5%
61 1
0.5%
60 1
0.5%

7.9
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.125628
Minimum4
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:30.048927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q112
median18
Q325
95-th percentile50.4
Maximum148
Range144
Interquartile range (IQR)13

Descriptive statistics

Standard deviation17.194352
Coefficient of variation (CV)0.77712381
Kurtosis18.445548
Mean22.125628
Median Absolute Deviation (MAD)7
Skewness3.4824106
Sum4403
Variance295.64575
MonotonicityNot monotonic
2023-12-10T15:27:30.287934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 14
 
7.0%
11 10
 
5.0%
9 10
 
5.0%
10 10
 
5.0%
18 9
 
4.5%
22 9
 
4.5%
21 9
 
4.5%
8 9
 
4.5%
12 9
 
4.5%
14 8
 
4.0%
Other values (40) 102
51.3%
ValueCountFrequency (%)
4 1
 
0.5%
5 1
 
0.5%
6 2
 
1.0%
7 3
 
1.5%
8 9
4.5%
9 10
5.0%
10 10
5.0%
11 10
5.0%
12 9
4.5%
13 14
7.0%
ValueCountFrequency (%)
148 1
0.5%
115 1
0.5%
76 1
0.5%
72 1
0.5%
69 1
0.5%
64 1
0.5%
63 2
1.0%
56 1
0.5%
54 1
0.5%
50 1
0.5%

11.3
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.899497
Minimum3
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:30.526093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q115.5
median25
Q336
95-th percentile67.3
Maximum125
Range122
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation20.065044
Coefficient of variation (CV)0.69430427
Kurtosis5.5537045
Mean28.899497
Median Absolute Deviation (MAD)10
Skewness2.0201994
Sum5751
Variance402.60601
MonotonicityNot monotonic
2023-12-10T15:27:30.838436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 9
 
4.5%
13 9
 
4.5%
14 8
 
4.0%
27 7
 
3.5%
24 7
 
3.5%
16 6
 
3.0%
23 6
 
3.0%
10 5
 
2.5%
15 5
 
2.5%
39 5
 
2.5%
Other values (51) 132
66.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 1
 
0.5%
5 3
1.5%
6 3
1.5%
7 3
1.5%
8 4
2.0%
9 1
 
0.5%
10 5
2.5%
11 4
2.0%
12 3
1.5%
ValueCountFrequency (%)
125 1
0.5%
119 1
0.5%
100 2
1.0%
95 1
0.5%
82 1
0.5%
78 1
0.5%
77 2
1.0%
70 1
0.5%
67 1
0.5%
65 1
0.5%

19.4
Real number (ℝ)

Distinct107
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.919598
Minimum12
Maximum399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:31.095751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile22.9
Q136
median59
Q395
95-th percentile222
Maximum399
Range387
Interquartile range (IQR)59

Descriptive statistics

Standard deviation65.237666
Coefficient of variation (CV)0.81629122
Kurtosis5.1641616
Mean79.919598
Median Absolute Deviation (MAD)25
Skewness2.1115787
Sum15904
Variance4255.9531
MonotonicityNot monotonic
2023-12-10T15:27:31.334211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 6
 
3.0%
36 5
 
2.5%
32 5
 
2.5%
47 5
 
2.5%
42 4
 
2.0%
22 4
 
2.0%
31 4
 
2.0%
52 4
 
2.0%
70 4
 
2.0%
28 4
 
2.0%
Other values (97) 154
77.4%
ValueCountFrequency (%)
12 1
 
0.5%
18 1
 
0.5%
20 1
 
0.5%
21 3
1.5%
22 4
2.0%
23 2
1.0%
24 3
1.5%
25 3
1.5%
26 1
 
0.5%
27 1
 
0.5%
ValueCountFrequency (%)
399 1
0.5%
337 1
0.5%
327 1
0.5%
307 1
0.5%
282 1
0.5%
266 1
0.5%
240 1
0.5%
227 1
0.5%
223 1
0.5%
222 2
1.0%

21.6
Real number (ℝ)

Distinct110
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.025126
Minimum14
Maximum531
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:31.600012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile24
Q138
median62
Q3107.5
95-th percentile264.1
Maximum531
Range517
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation86.765237
Coefficient of variation (CV)0.94284291
Kurtosis6.9870412
Mean92.025126
Median Absolute Deviation (MAD)28
Skewness2.4618426
Sum18313
Variance7528.2064
MonotonicityNot monotonic
2023-12-10T15:27:31.837818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 5
 
2.5%
25 5
 
2.5%
64 5
 
2.5%
36 5
 
2.5%
34 4
 
2.0%
47 4
 
2.0%
62 4
 
2.0%
51 4
 
2.0%
52 4
 
2.0%
31 4
 
2.0%
Other values (100) 155
77.9%
ValueCountFrequency (%)
14 1
 
0.5%
19 1
 
0.5%
22 3
1.5%
23 3
1.5%
24 3
1.5%
25 5
2.5%
26 1
 
0.5%
28 3
1.5%
29 2
 
1.0%
30 4
2.0%
ValueCountFrequency (%)
531 1
0.5%
463 1
0.5%
425 1
0.5%
421 1
0.5%
394 1
0.5%
380 1
0.5%
348 1
0.5%
294 1
0.5%
286 1
0.5%
283 1
0.5%

3.37
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.964824
Minimum3
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:32.073246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16.5
median10
Q319.5
95-th percentile54.2
Maximum154
Range151
Interquartile range (IQR)13

Descriptive statistics

Standard deviation21.509541
Coefficient of variation (CV)1.1973143
Kurtosis12.507079
Mean17.964824
Median Absolute Deviation (MAD)5
Skewness3.1703984
Sum3575
Variance462.66037
MonotonicityNot monotonic
2023-12-10T15:27:32.310912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5 19
 
9.5%
7 16
 
8.0%
4 13
 
6.5%
10 13
 
6.5%
9 13
 
6.5%
8 13
 
6.5%
6 11
 
5.5%
12 9
 
4.5%
11 8
 
4.0%
14 7
 
3.5%
Other values (38) 77
38.7%
ValueCountFrequency (%)
3 7
 
3.5%
4 13
6.5%
5 19
9.5%
6 11
5.5%
7 16
8.0%
8 13
6.5%
9 13
6.5%
10 13
6.5%
11 8
4.0%
12 9
4.5%
ValueCountFrequency (%)
154 1
0.5%
116 1
0.5%
107 1
0.5%
102 1
0.5%
90 1
0.5%
87 1
0.5%
77 2
1.0%
64 1
0.5%
56 1
0.5%
54 2
1.0%

3.38
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.477387
Minimum2
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:32.581720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q319.5
95-th percentile41.1
Maximum82
Range80
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation13.638487
Coefficient of variation (CV)0.88118795
Kurtosis6.0211575
Mean15.477387
Median Absolute Deviation (MAD)4
Skewness2.2154972
Sum3080
Variance186.00832
MonotonicityNot monotonic
2023-12-10T15:27:32.833692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
6 17
 
8.5%
8 17
 
8.5%
10 15
 
7.5%
5 14
 
7.0%
9 12
 
6.0%
4 12
 
6.0%
7 11
 
5.5%
11 10
 
5.0%
13 8
 
4.0%
14 8
 
4.0%
Other values (38) 75
37.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 12
6.0%
5 14
7.0%
6 17
8.5%
7 11
5.5%
8 17
8.5%
9 12
6.0%
10 15
7.5%
11 10
5.0%
ValueCountFrequency (%)
82 1
0.5%
77 1
0.5%
74 1
0.5%
58 1
0.5%
56 1
0.5%
51 1
0.5%
47 1
0.5%
45 1
0.5%
43 1
0.5%
42 1
0.5%

4.36
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.743719
Minimum2
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:33.121933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q319.5
95-th percentile49.1
Maximum111
Range109
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation16.49578
Coefficient of variation (CV)0.98519214
Kurtosis8.8229623
Mean16.743719
Median Absolute Deviation (MAD)5
Skewness2.6504985
Sum3332
Variance272.11076
MonotonicityNot monotonic
2023-12-10T15:27:33.390894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6 17
 
8.5%
5 14
 
7.0%
9 14
 
7.0%
7 13
 
6.5%
4 12
 
6.0%
10 12
 
6.0%
8 11
 
5.5%
11 10
 
5.0%
13 9
 
4.5%
17 8
 
4.0%
Other values (36) 79
39.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 12
6.0%
5 14
7.0%
6 17
8.5%
7 13
6.5%
8 11
5.5%
9 14
7.0%
10 12
6.0%
11 10
5.0%
ValueCountFrequency (%)
111 1
0.5%
95 1
0.5%
77 1
0.5%
72 1
0.5%
67 2
1.0%
60 1
0.5%
59 1
0.5%
56 1
0.5%
50 1
0.5%
49 1
0.5%

4.37
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.482412
Minimum2
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:33.615712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316
95-th percentile38.2
Maximum94
Range92
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.875803
Coefficient of variation (CV)0.88906482
Kurtosis12.624466
Mean14.482412
Median Absolute Deviation (MAD)4
Skewness3.0264843
Sum2882
Variance165.78631
MonotonicityNot monotonic
2023-12-10T15:27:33.826478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 22
 
11.1%
6 16
 
8.0%
9 15
 
7.5%
13 15
 
7.5%
4 14
 
7.0%
12 13
 
6.5%
10 9
 
4.5%
8 9
 
4.5%
11 9
 
4.5%
5 9
 
4.5%
Other values (30) 68
34.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 14
7.0%
5 9
4.5%
6 16
8.0%
7 22
11.1%
8 9
4.5%
9 15
7.5%
10 9
4.5%
11 9
4.5%
ValueCountFrequency (%)
94 1
0.5%
87 1
0.5%
63 1
0.5%
52 1
0.5%
49 1
0.5%
48 1
0.5%
45 1
0.5%
43 1
0.5%
41 1
0.5%
40 1
0.5%

0.24
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75376884
Minimum0
Maximum20
Zeros101
Zeros (%)50.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:34.049004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7935556
Coefficient of variation (CV)2.3794505
Kurtosis71.832273
Mean0.75376884
Median Absolute Deviation (MAD)0
Skewness7.5696314
Sum150
Variance3.2168418
MonotonicityNot monotonic
2023-12-10T15:27:34.229512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 101
50.8%
1 86
43.2%
2 7
 
3.5%
6 2
 
1.0%
20 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
0 101
50.8%
1 86
43.2%
2 7
 
3.5%
6 2
 
1.0%
8 1
 
0.5%
10 1
 
0.5%
20 1
 
0.5%
ValueCountFrequency (%)
20 1
 
0.5%
10 1
 
0.5%
8 1
 
0.5%
6 2
 
1.0%
2 7
 
3.5%
1 86
43.2%
0 101
50.8%

5.16
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.899497
Minimum2
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:34.462019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q318
95-th percentile36
Maximum64
Range62
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.8457779
Coefficient of variation (CV)0.66081275
Kurtosis5.4517745
Mean14.899497
Median Absolute Deviation (MAD)5
Skewness1.9868206
Sum2965
Variance96.939343
MonotonicityNot monotonic
2023-12-10T15:27:34.775420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 15
 
7.5%
10 14
 
7.0%
18 12
 
6.0%
9 12
 
6.0%
8 11
 
5.5%
14 11
 
5.5%
11 11
 
5.5%
13 10
 
5.0%
15 9
 
4.5%
7 9
 
4.5%
Other values (27) 85
42.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 3
 
1.5%
4 3
 
1.5%
5 8
4.0%
6 15
7.5%
7 9
4.5%
8 11
5.5%
9 12
6.0%
10 14
7.0%
11 11
5.5%
ValueCountFrequency (%)
64 1
 
0.5%
57 1
 
0.5%
51 1
 
0.5%
48 1
 
0.5%
46 1
 
0.5%
39 1
 
0.5%
38 3
1.5%
36 2
1.0%
33 1
 
0.5%
31 2
1.0%

3.39
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.648241
Minimum3
Maximum248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:35.062858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q323.5
95-th percentile82
Maximum248
Range245
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation38.115281
Coefficient of variation (CV)1.5463692
Kurtosis14.653849
Mean24.648241
Median Absolute Deviation (MAD)5
Skewness3.5775304
Sum4905
Variance1452.7746
MonotonicityNot monotonic
2023-12-10T15:27:35.326351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 21
 
10.6%
7 17
 
8.5%
9 15
 
7.5%
4 13
 
6.5%
8 12
 
6.0%
6 11
 
5.5%
10 10
 
5.0%
13 8
 
4.0%
16 7
 
3.5%
11 7
 
3.5%
Other values (51) 78
39.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 13
6.5%
5 21
10.6%
6 11
5.5%
7 17
8.5%
8 12
6.0%
9 15
7.5%
10 10
5.0%
11 7
 
3.5%
12 5
 
2.5%
ValueCountFrequency (%)
248 1
0.5%
226 1
0.5%
210 1
0.5%
205 1
0.5%
154 1
0.5%
139 1
0.5%
133 1
0.5%
124 1
0.5%
98 1
0.5%
82 2
1.0%

3.40
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.522613
Minimum2
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:35.641016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q320.5
95-th percentile43.1
Maximum85
Range83
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation14.581995
Coefficient of variation (CV)0.93940339
Kurtosis5.4830807
Mean15.522613
Median Absolute Deviation (MAD)5
Skewness2.1190496
Sum3089
Variance212.63459
MonotonicityNot monotonic
2023-12-10T15:27:35.966381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
8 18
 
9.0%
7 18
 
9.0%
5 15
 
7.5%
4 15
 
7.5%
6 11
 
5.5%
3 11
 
5.5%
9 10
 
5.0%
10 9
 
4.5%
11 8
 
4.0%
12 6
 
3.0%
Other values (36) 78
39.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 11
5.5%
4 15
7.5%
5 15
7.5%
6 11
5.5%
7 18
9.0%
8 18
9.0%
9 10
5.0%
10 9
4.5%
11 8
4.0%
ValueCountFrequency (%)
85 1
0.5%
82 1
0.5%
72 1
0.5%
69 1
0.5%
54 1
0.5%
52 1
0.5%
48 1
0.5%
47 1
0.5%
44 2
1.0%
43 2
1.0%

4.38
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.467337
Minimum3
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:36.776416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q16
median11
Q320
95-th percentile53.1
Maximum235
Range232
Interquartile range (IQR)14

Descriptive statistics

Standard deviation25.002781
Coefficient of variation (CV)1.3538921
Kurtosis33.513586
Mean18.467337
Median Absolute Deviation (MAD)6
Skewness4.9484758
Sum3675
Variance625.13908
MonotonicityNot monotonic
2023-12-10T15:27:37.045390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5 20
 
10.1%
6 17
 
8.5%
8 15
 
7.5%
7 13
 
6.5%
4 11
 
5.5%
12 11
 
5.5%
10 11
 
5.5%
11 10
 
5.0%
9 7
 
3.5%
20 6
 
3.0%
Other values (39) 78
39.2%
ValueCountFrequency (%)
3 4
 
2.0%
4 11
5.5%
5 20
10.1%
6 17
8.5%
7 13
6.5%
8 15
7.5%
9 7
 
3.5%
10 11
5.5%
11 10
5.0%
12 11
5.5%
ValueCountFrequency (%)
235 1
0.5%
147 1
0.5%
135 1
0.5%
96 1
0.5%
89 1
0.5%
72 1
0.5%
66 1
0.5%
55 1
0.5%
54 2
1.0%
53 1
0.5%

4.39
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.135678
Minimum3
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:37.309576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median11
Q317.5
95-th percentile44.3
Maximum121
Range118
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation15.599038
Coefficient of variation (CV)0.96674199
Kurtosis16.185831
Mean16.135678
Median Absolute Deviation (MAD)4
Skewness3.4283395
Sum3211
Variance243.32998
MonotonicityNot monotonic
2023-12-10T15:27:37.555466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
11 16
 
8.0%
8 15
 
7.5%
5 14
 
7.0%
6 14
 
7.0%
10 13
 
6.5%
13 13
 
6.5%
7 12
 
6.0%
12 10
 
5.0%
9 9
 
4.5%
14 9
 
4.5%
Other values (30) 74
37.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 8
4.0%
5 14
7.0%
6 14
7.0%
7 12
6.0%
8 15
7.5%
9 9
4.5%
10 13
6.5%
11 16
8.0%
12 10
5.0%
ValueCountFrequency (%)
121 1
 
0.5%
106 1
 
0.5%
76 1
 
0.5%
66 1
 
0.5%
58 1
 
0.5%
56 1
 
0.5%
48 1
 
0.5%
47 3
1.5%
44 1
 
0.5%
43 1
 
0.5%

7.10
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.60804
Minimum2
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:37.810474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q110
median15
Q321.5
95-th percentile41.4
Maximum73
Range71
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation11.950958
Coefficient of variation (CV)0.67872163
Kurtosis5.0670913
Mean17.60804
Median Absolute Deviation (MAD)6
Skewness1.9668589
Sum3504
Variance142.82539
MonotonicityNot monotonic
2023-12-10T15:27:38.023571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
8 13
 
6.5%
9 11
 
5.5%
21 11
 
5.5%
11 11
 
5.5%
14 10
 
5.0%
10 10
 
5.0%
13 9
 
4.5%
23 9
 
4.5%
15 9
 
4.5%
12 8
 
4.0%
Other values (32) 98
49.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 3
 
1.5%
4 3
 
1.5%
5 4
 
2.0%
6 5
 
2.5%
7 8
4.0%
8 13
6.5%
9 11
5.5%
10 10
5.0%
11 11
5.5%
ValueCountFrequency (%)
73 1
0.5%
70 1
0.5%
59 2
1.0%
56 1
0.5%
54 1
0.5%
48 1
0.5%
46 1
0.5%
45 2
1.0%
41 1
0.5%
39 1
0.5%

21.7
Real number (ℝ)

Distinct102
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.030151
Minimum12
Maximum289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:38.232799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile21.9
Q137.5
median56
Q383
95-th percentile152.1
Maximum289
Range277
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation46.116553
Coefficient of variation (CV)0.67788403
Kurtosis5.7446721
Mean68.030151
Median Absolute Deviation (MAD)21
Skewness2.1045115
Sum13538
Variance2126.7365
MonotonicityNot monotonic
2023-12-10T15:27:38.495262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 8
 
4.0%
54 6
 
3.0%
56 5
 
2.5%
83 5
 
2.5%
46 5
 
2.5%
35 4
 
2.0%
29 4
 
2.0%
55 4
 
2.0%
43 4
 
2.0%
37 4
 
2.0%
Other values (92) 150
75.4%
ValueCountFrequency (%)
12 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
15 2
1.0%
16 1
 
0.5%
18 2
1.0%
20 1
 
0.5%
21 1
 
0.5%
22 3
1.5%
24 2
1.0%
ValueCountFrequency (%)
289 1
0.5%
265 1
0.5%
246 2
1.0%
208 1
0.5%
202 1
0.5%
201 1
0.5%
169 1
0.5%
156 1
0.5%
153 1
0.5%
152 2
1.0%

22.1
Real number (ℝ)

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.236181
Minimum11
Maximum323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:38.794277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile22.9
Q138
median58
Q387
95-th percentile169
Maximum323
Range312
Interquartile range (IQR)49

Descriptive statistics

Standard deviation51.675165
Coefficient of variation (CV)0.71536403
Kurtosis5.6189628
Mean72.236181
Median Absolute Deviation (MAD)22
Skewness2.0916351
Sum14375
Variance2670.3227
MonotonicityNot monotonic
2023-12-10T15:27:39.043304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 8
 
4.0%
60 5
 
2.5%
42 5
 
2.5%
43 5
 
2.5%
30 5
 
2.5%
57 4
 
2.0%
76 4
 
2.0%
53 4
 
2.0%
48 4
 
2.0%
69 4
 
2.0%
Other values (93) 151
75.9%
ValueCountFrequency (%)
11 2
1.0%
14 3
1.5%
15 3
1.5%
22 2
1.0%
23 1
 
0.5%
24 2
1.0%
25 1
 
0.5%
26 2
1.0%
27 1
 
0.5%
28 2
1.0%
ValueCountFrequency (%)
323 1
0.5%
289 1
0.5%
287 1
0.5%
254 1
0.5%
219 1
0.5%
217 1
0.5%
207 1
0.5%
190 1
0.5%
176 1
0.5%
169 2
1.0%

3.41
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.150754
Minimum2
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:39.323509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317
95-th percentile30.1
Maximum58
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.865857
Coefficient of variation (CV)0.67417102
Kurtosis4.6201724
Mean13.150754
Median Absolute Deviation (MAD)5
Skewness1.8272212
Sum2617
Variance78.603421
MonotonicityNot monotonic
2023-12-10T15:27:39.567322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8 20
 
10.1%
6 16
 
8.0%
10 14
 
7.0%
12 14
 
7.0%
5 13
 
6.5%
7 11
 
5.5%
11 10
 
5.0%
15 9
 
4.5%
18 9
 
4.5%
9 8
 
4.0%
Other values (27) 75
37.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 3
 
1.5%
4 7
 
3.5%
5 13
6.5%
6 16
8.0%
7 11
5.5%
8 20
10.1%
9 8
 
4.0%
10 14
7.0%
11 10
5.0%
ValueCountFrequency (%)
58 1
0.5%
46 1
0.5%
45 1
0.5%
41 1
0.5%
40 1
0.5%
38 1
0.5%
36 1
0.5%
32 1
0.5%
31 2
1.0%
30 1
0.5%

4.40
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.954774
Minimum2
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:39.762562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q315
95-th percentile34
Maximum55
Range53
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2868412
Coefficient of variation (CV)0.71686633
Kurtosis4.5135428
Mean12.954774
Median Absolute Deviation (MAD)4
Skewness1.9575169
Sum2578
Variance86.245419
MonotonicityNot monotonic
2023-12-10T15:27:39.972840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 17
 
8.5%
9 17
 
8.5%
11 15
 
7.5%
10 14
 
7.0%
8 13
 
6.5%
5 12
 
6.0%
13 11
 
5.5%
6 11
 
5.5%
4 9
 
4.5%
16 9
 
4.5%
Other values (26) 71
35.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 4
 
2.0%
4 9
4.5%
5 12
6.0%
6 11
5.5%
7 17
8.5%
8 13
6.5%
9 17
8.5%
10 14
7.0%
11 15
7.5%
ValueCountFrequency (%)
55 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
47 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
35 2
1.0%
34 3
1.5%
32 1
 
0.5%
31 1
 
0.5%

0.25
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69346734
Minimum0
Maximum19
Zeros109
Zeros (%)54.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:40.147943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1.1
Maximum19
Range19
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7266502
Coefficient of variation (CV)2.4898796
Kurtosis68.955974
Mean0.69346734
Median Absolute Deviation (MAD)0
Skewness7.434656
Sum138
Variance2.9813207
MonotonicityNot monotonic
2023-12-10T15:27:40.310734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 109
54.8%
1 80
40.2%
2 5
 
2.5%
8 2
 
1.0%
19 1
 
0.5%
9 1
 
0.5%
4 1
 
0.5%
ValueCountFrequency (%)
0 109
54.8%
1 80
40.2%
2 5
 
2.5%
4 1
 
0.5%
8 2
 
1.0%
9 1
 
0.5%
19 1
 
0.5%
ValueCountFrequency (%)
19 1
 
0.5%
9 1
 
0.5%
8 2
 
1.0%
4 1
 
0.5%
2 5
 
2.5%
1 80
40.2%
0 109
54.8%

4.41
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.562814
Minimum2
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:40.495704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316
95-th percentile31.2
Maximum65
Range63
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.7335629
Coefficient of variation (CV)0.71766544
Kurtosis6.1517181
Mean13.562814
Median Absolute Deviation (MAD)4
Skewness2.1225414
Sum2699
Variance94.742247
MonotonicityNot monotonic
2023-12-10T15:27:40.736183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
7 19
 
9.5%
10 19
 
9.5%
6 18
 
9.0%
13 15
 
7.5%
9 12
 
6.0%
5 10
 
5.0%
14 9
 
4.5%
11 8
 
4.0%
16 8
 
4.0%
12 8
 
4.0%
Other values (28) 73
36.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 6
 
3.0%
5 10
5.0%
6 18
9.0%
7 19
9.5%
8 7
 
3.5%
9 12
6.0%
10 19
9.5%
11 8
4.0%
ValueCountFrequency (%)
65 1
0.5%
55 1
0.5%
50 1
0.5%
46 1
0.5%
44 1
0.5%
39 1
0.5%
35 2
1.0%
34 1
0.5%
33 1
0.5%
31 2
1.0%

4.42
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.512563
Minimum2
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:40.944943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q17
median10
Q315
95-th percentile30.1
Maximum57
Range55
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2205629
Coefficient of variation (CV)0.73690443
Kurtosis5.8989433
Mean12.512563
Median Absolute Deviation (MAD)4
Skewness2.1917485
Sum2490
Variance85.018781
MonotonicityNot monotonic
2023-12-10T15:27:41.124862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
8 19
 
9.5%
5 17
 
8.5%
7 16
 
8.0%
10 15
 
7.5%
11 14
 
7.0%
16 13
 
6.5%
9 11
 
5.5%
15 10
 
5.0%
13 9
 
4.5%
6 9
 
4.5%
Other values (25) 66
33.2%
ValueCountFrequency (%)
2 5
 
2.5%
3 5
 
2.5%
4 8
4.0%
5 17
8.5%
6 9
4.5%
7 16
8.0%
8 19
9.5%
9 11
5.5%
10 15
7.5%
11 14
7.0%
ValueCountFrequency (%)
57 1
 
0.5%
51 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
40 2
1.0%
38 1
 
0.5%
33 1
 
0.5%
31 1
 
0.5%
30 3
1.5%

6.23
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.407035
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:41.300198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median13
Q321
95-th percentile43.1
Maximum76
Range75
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.574632
Coefficient of variation (CV)0.81616168
Kurtosis4.9402628
Mean15.407035
Median Absolute Deviation (MAD)7
Skewness1.9016771
Sum3066
Variance158.12136
MonotonicityNot monotonic
2023-12-10T15:27:41.478744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3 13
 
6.5%
11 12
 
6.0%
17 11
 
5.5%
7 11
 
5.5%
4 11
 
5.5%
10 9
 
4.5%
21 9
 
4.5%
14 9
 
4.5%
13 9
 
4.5%
2 8
 
4.0%
Other values (36) 97
48.7%
ValueCountFrequency (%)
1 4
 
2.0%
2 8
4.0%
3 13
6.5%
4 11
5.5%
5 4
 
2.0%
6 7
3.5%
7 11
5.5%
8 6
3.0%
9 6
3.0%
10 9
4.5%
ValueCountFrequency (%)
76 1
0.5%
69 1
0.5%
60 1
0.5%
57 1
0.5%
55 1
0.5%
47 1
0.5%
46 1
0.5%
45 2
1.0%
44 1
0.5%
43 1
0.5%

4.43
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.482412
Minimum3
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:41.680265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median11
Q319.5
95-th percentile39
Maximum64
Range61
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation11.583184
Coefficient of variation (CV)0.7481511
Kurtosis2.9253346
Mean15.482412
Median Absolute Deviation (MAD)5
Skewness1.6543381
Sum3081
Variance134.17014
MonotonicityNot monotonic
2023-12-10T15:27:41.872718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
8 18
 
9.0%
6 15
 
7.5%
10 14
 
7.0%
5 14
 
7.0%
11 13
 
6.5%
7 11
 
5.5%
9 9
 
4.5%
12 8
 
4.0%
13 8
 
4.0%
4 6
 
3.0%
Other values (31) 83
41.7%
ValueCountFrequency (%)
3 3
 
1.5%
4 6
 
3.0%
5 14
7.0%
6 15
7.5%
7 11
5.5%
8 18
9.0%
9 9
4.5%
10 14
7.0%
11 13
6.5%
12 8
4.0%
ValueCountFrequency (%)
64 2
1.0%
54 1
 
0.5%
49 1
 
0.5%
48 1
 
0.5%
41 3
1.5%
40 1
 
0.5%
39 2
1.0%
37 2
1.0%
36 2
1.0%
35 4
2.0%

3.42
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.839196
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:42.065489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q314.5
95-th percentile36
Maximum68
Range67
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.757392
Coefficient of variation (CV)0.83785559
Kurtosis4.8945459
Mean12.839196
Median Absolute Deviation (MAD)4
Skewness2.0529151
Sum2555
Variance115.72149
MonotonicityNot monotonic
2023-12-10T15:27:42.285617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 21
 
10.6%
8 21
 
10.6%
5 18
 
9.0%
6 16
 
8.0%
7 14
 
7.0%
12 10
 
5.0%
13 8
 
4.0%
4 8
 
4.0%
11 8
 
4.0%
2 7
 
3.5%
Other values (29) 68
34.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 7
 
3.5%
3 6
 
3.0%
4 8
 
4.0%
5 18
9.0%
6 16
8.0%
7 14
7.0%
8 21
10.6%
9 6
 
3.0%
10 21
10.6%
ValueCountFrequency (%)
68 1
0.5%
50 1
0.5%
49 2
1.0%
46 1
0.5%
44 1
0.5%
39 1
0.5%
38 1
0.5%
37 1
0.5%
36 2
1.0%
33 2
1.0%

4.44
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.361809
Minimum2
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:42.478935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q315
95-th percentile36.1
Maximum85
Range83
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.945573
Coefficient of variation (CV)0.89400867
Kurtosis10.70126
Mean13.361809
Median Absolute Deviation (MAD)4
Skewness2.8345441
Sum2659
Variance142.69672
MonotonicityNot monotonic
2023-12-10T15:27:42.696279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6 24
 
12.1%
9 20
 
10.1%
5 14
 
7.0%
7 14
 
7.0%
8 13
 
6.5%
10 11
 
5.5%
12 8
 
4.0%
11 8
 
4.0%
14 7
 
3.5%
15 7
 
3.5%
Other values (30) 73
36.7%
ValueCountFrequency (%)
2 6
 
3.0%
3 5
 
2.5%
4 6
 
3.0%
5 14
7.0%
6 24
12.1%
7 14
7.0%
8 13
6.5%
9 20
10.1%
10 11
5.5%
11 8
 
4.0%
ValueCountFrequency (%)
85 1
0.5%
70 1
0.5%
66 1
0.5%
57 1
0.5%
49 1
0.5%
43 1
0.5%
42 1
0.5%
39 1
0.5%
38 1
0.5%
37 1
0.5%

4.45
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.824121
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:42.899136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median10
Q316
95-th percentile32.1
Maximum61
Range60
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.101716
Coefficient of variation (CV)0.78771219
Kurtosis6.5106455
Mean12.824121
Median Absolute Deviation (MAD)4
Skewness2.2746631
Sum2552
Variance102.04467
MonotonicityNot monotonic
2023-12-10T15:27:43.052224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8 18
 
9.0%
7 17
 
8.5%
6 14
 
7.0%
11 13
 
6.5%
9 11
 
5.5%
4 10
 
5.0%
10 10
 
5.0%
15 9
 
4.5%
5 8
 
4.0%
13 8
 
4.0%
Other values (29) 81
40.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 7
 
3.5%
3 7
 
3.5%
4 10
5.0%
5 8
4.0%
6 14
7.0%
7 17
8.5%
8 18
9.0%
9 11
5.5%
10 10
5.0%
ValueCountFrequency (%)
61 1
0.5%
58 1
0.5%
53 1
0.5%
50 1
0.5%
49 1
0.5%
44 1
0.5%
40 1
0.5%
39 1
0.5%
34 1
0.5%
33 1
0.5%

7.11
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.130653
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:43.220214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median15
Q325
95-th percentile52.1
Maximum88
Range87
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.364692
Coefficient of variation (CV)0.84744281
Kurtosis4.4141868
Mean18.130653
Median Absolute Deviation (MAD)9
Skewness1.778686
Sum3608
Variance236.07375
MonotonicityNot monotonic
2023-12-10T15:27:43.418212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2 14
 
7.0%
3 12
 
6.0%
12 10
 
5.0%
1 9
 
4.5%
14 9
 
4.5%
17 8
 
4.0%
26 8
 
4.0%
16 7
 
3.5%
21 7
 
3.5%
10 7
 
3.5%
Other values (39) 108
54.3%
ValueCountFrequency (%)
1 9
4.5%
2 14
7.0%
3 12
6.0%
4 4
 
2.0%
5 4
 
2.0%
6 2
 
1.0%
7 3
 
1.5%
8 6
3.0%
9 5
 
2.5%
10 7
3.5%
ValueCountFrequency (%)
88 1
0.5%
85 1
0.5%
70 2
1.0%
66 1
0.5%
58 1
0.5%
56 1
0.5%
54 1
0.5%
53 2
1.0%
52 1
0.5%
46 1
0.5%

10.7
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.055276
Minimum6
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:43.667799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q118.5
median29
Q343.5
95-th percentile92
Maximum147
Range141
Interquartile range (IQR)25

Descriptive statistics

Standard deviation25.64899
Coefficient of variation (CV)0.71137964
Kurtosis4.2142648
Mean36.055276
Median Absolute Deviation (MAD)12
Skewness1.9153103
Sum7175
Variance657.87067
MonotonicityNot monotonic
2023-12-10T15:27:44.368974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 12
 
6.0%
16 9
 
4.5%
15 7
 
3.5%
34 7
 
3.5%
12 6
 
3.0%
27 6
 
3.0%
17 6
 
3.0%
13 6
 
3.0%
19 5
 
2.5%
31 5
 
2.5%
Other values (61) 130
65.3%
ValueCountFrequency (%)
6 2
 
1.0%
8 1
 
0.5%
9 1
 
0.5%
10 3
 
1.5%
11 2
 
1.0%
12 6
3.0%
13 6
3.0%
14 3
 
1.5%
15 7
3.5%
16 9
4.5%
ValueCountFrequency (%)
147 1
0.5%
141 1
0.5%
132 1
0.5%
122 1
0.5%
113 1
0.5%
112 1
0.5%
109 1
0.5%
99 1
0.5%
95 1
0.5%
92 2
1.0%

10.8
Real number (ℝ)

Distinct78
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.728643
Minimum7
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:44.577343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12.9
Q119
median31
Q349
95-th percentile117.5
Maximum229
Range222
Interquartile range (IQR)30

Descriptive statistics

Standard deviation35.669594
Coefficient of variation (CV)0.8547988
Kurtosis7.4378166
Mean41.728643
Median Absolute Deviation (MAD)13
Skewness2.4914745
Sum8304
Variance1272.3199
MonotonicityNot monotonic
2023-12-10T15:27:44.804005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 8
 
4.0%
17 8
 
4.0%
16 8
 
4.0%
19 7
 
3.5%
34 7
 
3.5%
35 7
 
3.5%
13 6
 
3.0%
28 6
 
3.0%
39 6
 
3.0%
22 6
 
3.0%
Other values (68) 130
65.3%
ValueCountFrequency (%)
7 2
 
1.0%
9 1
 
0.5%
10 2
 
1.0%
11 2
 
1.0%
12 3
 
1.5%
13 6
3.0%
14 5
2.5%
15 2
 
1.0%
16 8
4.0%
17 8
4.0%
ValueCountFrequency (%)
229 1
0.5%
199 1
0.5%
186 1
0.5%
170 1
0.5%
150 1
0.5%
148 1
0.5%
139 1
0.5%
133 1
0.5%
132 1
0.5%
131 1
0.5%

0.26
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.80904523
Minimum0
Maximum21
Zeros98
Zeros (%)49.2%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:45.001374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0655223
Coefficient of variation (CV)2.5530369
Kurtosis56.996943
Mean0.80904523
Median Absolute Deviation (MAD)1
Skewness7.0221169
Sum161
Variance4.2663824
MonotonicityNot monotonic
2023-12-10T15:27:45.185365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 98
49.2%
1 90
45.2%
2 6
 
3.0%
11 2
 
1.0%
21 1
 
0.5%
13 1
 
0.5%
3 1
 
0.5%
ValueCountFrequency (%)
0 98
49.2%
1 90
45.2%
2 6
 
3.0%
3 1
 
0.5%
11 2
 
1.0%
13 1
 
0.5%
21 1
 
0.5%
ValueCountFrequency (%)
21 1
 
0.5%
13 1
 
0.5%
11 2
 
1.0%
3 1
 
0.5%
2 6
 
3.0%
1 90
45.2%
0 98
49.2%

2.58
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6633166
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:45.342046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile18
Maximum34
Range33
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.1778677
Coefficient of variation (CV)0.77707065
Kurtosis5.8542891
Mean6.6633166
Median Absolute Deviation (MAD)2
Skewness2.1384062
Sum1326
Variance26.810314
MonotonicityNot monotonic
2023-12-10T15:27:45.523677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 31
15.6%
4 28
14.1%
5 26
13.1%
2 23
11.6%
7 22
11.1%
6 12
 
6.0%
8 8
 
4.0%
9 7
 
3.5%
11 7
 
3.5%
10 6
 
3.0%
Other values (14) 29
14.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 23
11.6%
3 31
15.6%
4 28
14.1%
5 26
13.1%
6 12
 
6.0%
7 22
11.1%
8 8
 
4.0%
9 7
 
3.5%
10 6
 
3.0%
ValueCountFrequency (%)
34 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
21 2
1.0%
19 1
 
0.5%
18 3
1.5%
17 2
1.0%
15 3
1.5%

2.59
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8944724
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:45.690259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile17
Maximum38
Range37
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3902193
Coefficient of variation (CV)0.78181752
Kurtosis6.5780861
Mean6.8944724
Median Absolute Deviation (MAD)2
Skewness2.1817182
Sum1372
Variance29.054464
MonotonicityNot monotonic
2023-12-10T15:27:45.880056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
3 28
14.1%
4 26
13.1%
5 25
12.6%
2 23
11.6%
6 23
11.6%
7 20
10.1%
12 8
 
4.0%
11 6
 
3.0%
16 6
 
3.0%
9 6
 
3.0%
Other values (12) 28
14.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 23
11.6%
3 28
14.1%
4 26
13.1%
5 25
12.6%
6 23
11.6%
7 20
10.1%
8 5
 
2.5%
9 6
 
3.0%
10 3
 
1.5%
ValueCountFrequency (%)
38 1
 
0.5%
25 2
 
1.0%
23 2
 
1.0%
22 2
 
1.0%
21 1
 
0.5%
17 4
2.0%
16 6
3.0%
15 2
 
1.0%
14 2
 
1.0%
13 2
 
1.0%

2.60
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6331658
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:46.066895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.5
median6
Q39
95-th percentile21
Maximum54
Range53
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.9928611
Coefficient of variation (CV)0.91611545
Kurtosis13.357465
Mean7.6331658
Median Absolute Deviation (MAD)3
Skewness3.1091555
Sum1519
Variance48.900107
MonotonicityNot monotonic
2023-12-10T15:27:46.227185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 34
17.1%
4 29
14.6%
6 24
12.1%
7 17
8.5%
5 16
8.0%
2 14
7.0%
9 11
 
5.5%
8 8
 
4.0%
10 7
 
3.5%
11 5
 
2.5%
Other values (18) 34
17.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 14
7.0%
3 34
17.1%
4 29
14.6%
5 16
8.0%
6 24
12.1%
7 17
8.5%
8 8
 
4.0%
9 11
 
5.5%
10 7
 
3.5%
ValueCountFrequency (%)
54 1
0.5%
41 1
0.5%
35 1
0.5%
32 1
0.5%
30 1
0.5%
26 1
0.5%
25 1
0.5%
23 1
0.5%
22 1
0.5%
21 2
1.0%

2.61
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6884422
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:46.416942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13.5
median5
Q37
95-th percentile18
Maximum48
Range47
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation5.490434
Coefficient of variation (CV)0.82088382
Kurtosis17.177494
Mean6.6884422
Median Absolute Deviation (MAD)2
Skewness3.2685114
Sum1331
Variance30.144866
MonotonicityNot monotonic
2023-12-10T15:27:46.614276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 34
17.1%
7 27
13.6%
3 26
13.1%
4 25
12.6%
2 20
10.1%
6 14
7.0%
10 8
 
4.0%
8 8
 
4.0%
9 8
 
4.0%
14 5
 
2.5%
Other values (14) 24
12.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 20
10.1%
3 26
13.1%
4 25
12.6%
5 34
17.1%
6 14
7.0%
7 27
13.6%
8 8
 
4.0%
9 8
 
4.0%
10 8
 
4.0%
ValueCountFrequency (%)
48 1
 
0.5%
26 1
 
0.5%
25 1
 
0.5%
22 3
1.5%
21 1
 
0.5%
20 2
1.0%
18 2
1.0%
17 1
 
0.5%
16 1
 
0.5%
15 1
 
0.5%

3.43
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9748744
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:46.833591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q310
95-th percentile19.1
Maximum35
Range34
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3195249
Coefficient of variation (CV)0.66703558
Kurtosis6.3397985
Mean7.9748744
Median Absolute Deviation (MAD)3
Skewness2.1503862
Sum1587
Variance28.297345
MonotonicityNot monotonic
2023-12-10T15:27:47.042412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 30
15.1%
6 22
11.1%
8 21
10.6%
4 18
9.0%
10 17
8.5%
3 16
8.0%
7 15
7.5%
11 11
 
5.5%
2 10
 
5.0%
9 9
 
4.5%
Other values (16) 30
15.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 10
 
5.0%
3 16
8.0%
4 18
9.0%
5 30
15.1%
6 22
11.1%
7 15
7.5%
8 21
10.6%
9 9
 
4.5%
10 17
8.5%
ValueCountFrequency (%)
35 1
0.5%
32 1
0.5%
28 1
0.5%
26 1
0.5%
25 1
0.5%
22 1
0.5%
21 2
1.0%
20 2
1.0%
19 1
0.5%
18 1
0.5%

2.62
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.638191
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:47.233129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q310
95-th percentile25
Maximum70
Range69
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.346997
Coefficient of variation (CV)1.1978199
Kurtosis16.172696
Mean8.638191
Median Absolute Deviation (MAD)2
Skewness3.6661792
Sum1719
Variance107.06035
MonotonicityNot monotonic
2023-12-10T15:27:47.430827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 32
16.1%
4 26
13.1%
5 25
12.6%
2 20
10.1%
6 19
9.5%
7 12
 
6.0%
8 7
 
3.5%
11 6
 
3.0%
10 6
 
3.0%
12 5
 
2.5%
Other values (22) 41
20.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 20
10.1%
3 32
16.1%
4 26
13.1%
5 25
12.6%
6 19
9.5%
7 12
 
6.0%
8 7
 
3.5%
9 4
 
2.0%
10 6
 
3.0%
ValueCountFrequency (%)
70 1
0.5%
67 1
0.5%
64 1
0.5%
53 1
0.5%
40 1
0.5%
39 1
0.5%
37 1
0.5%
30 1
0.5%
29 1
0.5%
25 2
1.0%

2.63
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5075377
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:47.639313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile23
Maximum48
Range47
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.1829409
Coefficient of variation (CV)0.95676388
Kurtosis7.6922426
Mean7.5075377
Median Absolute Deviation (MAD)2
Skewness2.467683
Sum1494
Variance51.59464
MonotonicityNot monotonic
2023-12-10T15:27:47.848889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5 30
15.1%
3 27
13.6%
4 27
13.6%
2 26
13.1%
6 14
 
7.0%
8 12
 
6.0%
7 9
 
4.5%
9 6
 
3.0%
1 5
 
2.5%
14 5
 
2.5%
Other values (21) 38
19.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 26
13.1%
3 27
13.6%
4 27
13.6%
5 30
15.1%
6 14
7.0%
7 9
 
4.5%
8 12
 
6.0%
9 6
 
3.0%
10 3
 
1.5%
ValueCountFrequency (%)
48 1
0.5%
39 1
0.5%
35 1
0.5%
31 1
0.5%
27 2
1.0%
26 1
0.5%
25 1
0.5%
24 1
0.5%
23 2
1.0%
22 1
0.5%

2.64
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4623116
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:48.066523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q310
95-th percentile23.1
Maximum80
Range79
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.8399996
Coefficient of variation (CV)1.1628028
Kurtosis20.003573
Mean8.4623116
Median Absolute Deviation (MAD)2
Skewness3.9393613
Sum1684
Variance96.825593
MonotonicityNot monotonic
2023-12-10T15:27:48.300184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 38
19.1%
4 28
14.1%
6 22
11.1%
5 18
9.0%
7 13
 
6.5%
2 13
 
6.5%
11 10
 
5.0%
10 7
 
3.5%
8 6
 
3.0%
17 5
 
2.5%
Other values (22) 39
19.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 13
 
6.5%
3 38
19.1%
4 28
14.1%
5 18
9.0%
6 22
11.1%
7 13
 
6.5%
8 6
 
3.0%
9 5
 
2.5%
10 7
 
3.5%
ValueCountFrequency (%)
80 1
0.5%
56 1
0.5%
52 1
0.5%
51 1
0.5%
45 1
0.5%
39 1
0.5%
30 1
0.5%
26 1
0.5%
25 1
0.5%
24 1
0.5%

2.66
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6432161
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:48.496870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile18.2
Maximum65
Range64
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.182213
Coefficient of variation (CV)0.93968467
Kurtosis23.735591
Mean7.6432161
Median Absolute Deviation (MAD)2
Skewness4.0409574
Sum1521
Variance51.584184
MonotonicityNot monotonic
2023-12-10T15:27:48.699304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 29
14.6%
5 25
12.6%
7 24
12.1%
4 24
12.1%
6 18
9.0%
8 13
6.5%
2 13
6.5%
9 9
 
4.5%
10 7
 
3.5%
12 7
 
3.5%
Other values (17) 30
15.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 13
6.5%
3 29
14.6%
4 24
12.1%
5 25
12.6%
6 18
9.0%
7 24
12.1%
8 13
6.5%
9 9
 
4.5%
10 7
 
3.5%
ValueCountFrequency (%)
65 1
0.5%
38 2
1.0%
35 1
0.5%
29 1
0.5%
26 1
0.5%
24 1
0.5%
23 1
0.5%
22 1
0.5%
20 1
0.5%
18 2
1.0%

3.44
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6683417
Minimum2
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:48.903580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median8
Q312
95-th percentile24
Maximum40
Range38
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.4877937
Coefficient of variation (CV)0.6710348
Kurtosis5.267059
Mean9.6683417
Median Absolute Deviation (MAD)3
Skewness2.0165963
Sum1924
Variance42.091467
MonotonicityNot monotonic
2023-12-10T15:27:49.101776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8 23
11.6%
6 21
10.6%
5 18
 
9.0%
7 18
 
9.0%
4 14
 
7.0%
12 12
 
6.0%
9 11
 
5.5%
10 11
 
5.5%
13 11
 
5.5%
11 11
 
5.5%
Other values (16) 49
24.6%
ValueCountFrequency (%)
2 7
 
3.5%
3 10
5.0%
4 14
7.0%
5 18
9.0%
6 21
10.6%
7 18
9.0%
8 23
11.6%
9 11
5.5%
10 11
5.5%
11 11
5.5%
ValueCountFrequency (%)
40 1
 
0.5%
39 1
 
0.5%
32 2
1.0%
30 1
 
0.5%
27 2
1.0%
25 2
1.0%
24 3
1.5%
21 2
1.0%
20 2
1.0%
18 2
1.0%

0.27
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68341709
Minimum0
Maximum16
Zeros110
Zeros (%)55.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:49.296451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6923107
Coefficient of variation (CV)2.4762488
Kurtosis46.933809
Mean0.68341709
Median Absolute Deviation (MAD)0
Skewness6.380993
Sum136
Variance2.8639155
MonotonicityNot monotonic
2023-12-10T15:27:49.509064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 110
55.3%
1 81
40.7%
2 3
 
1.5%
16 1
 
0.5%
9 1
 
0.5%
3 1
 
0.5%
10 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 110
55.3%
1 81
40.7%
2 3
 
1.5%
3 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
11 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
16 1
 
0.5%
11 1
 
0.5%
10 1
 
0.5%
9 1
 
0.5%
3 1
 
0.5%
2 3
 
1.5%
1 81
40.7%
0 110
55.3%

12.5
Real number (ℝ)

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.21608
Minimum8
Maximum438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:49.732399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile15.9
Q125.5
median40
Q375.5
95-th percentile163.6
Maximum438
Range430
Interquartile range (IQR)50

Descriptive statistics

Standard deviation62.663995
Coefficient of variation (CV)1.0071993
Kurtosis10.565359
Mean62.21608
Median Absolute Deviation (MAD)18
Skewness2.8512879
Sum12381
Variance3926.7763
MonotonicityNot monotonic
2023-12-10T15:27:49.967319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 7
 
3.5%
31 6
 
3.0%
19 6
 
3.0%
26 5
 
2.5%
39 5
 
2.5%
16 5
 
2.5%
48 5
 
2.5%
23 5
 
2.5%
24 5
 
2.5%
30 4
 
2.0%
Other values (89) 146
73.4%
ValueCountFrequency (%)
8 2
 
1.0%
12 2
 
1.0%
13 3
1.5%
14 1
 
0.5%
15 2
 
1.0%
16 5
2.5%
17 2
 
1.0%
18 2
 
1.0%
19 6
3.0%
20 7
3.5%
ValueCountFrequency (%)
438 1
0.5%
349 1
0.5%
343 1
0.5%
276 1
0.5%
254 1
0.5%
249 1
0.5%
232 1
0.5%
212 1
0.5%
194 1
0.5%
169 1
0.5%

12.6
Real number (ℝ)

Distinct101
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.110553
Minimum8
Maximum576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:50.208647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16
Q126
median43
Q387
95-th percentile257
Maximum576
Range568
Interquartile range (IQR)61

Descriptive statistics

Standard deviation93.066599
Coefficient of variation (CV)1.2227818
Kurtosis11.144287
Mean76.110553
Median Absolute Deviation (MAD)21
Skewness3.097197
Sum15146
Variance8661.3918
MonotonicityNot monotonic
2023-12-10T15:27:50.440787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 6
 
3.0%
27 6
 
3.0%
24 6
 
3.0%
20 6
 
3.0%
33 5
 
2.5%
51 5
 
2.5%
22 5
 
2.5%
49 5
 
2.5%
32 5
 
2.5%
34 5
 
2.5%
Other values (91) 145
72.9%
ValueCountFrequency (%)
8 2
 
1.0%
12 1
 
0.5%
13 2
 
1.0%
15 3
1.5%
16 4
2.0%
17 4
2.0%
19 4
2.0%
20 6
3.0%
21 6
3.0%
22 5
2.5%
ValueCountFrequency (%)
576 1
0.5%
531 1
0.5%
523 1
0.5%
492 1
0.5%
403 1
0.5%
325 1
0.5%
313 1
0.5%
310 1
0.5%
286 1
0.5%
266 1
0.5%

2.67
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.733668
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:50.678938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q314
95-th percentile42
Maximum114
Range113
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.694509
Coefficient of variation (CV)1.2325206
Kurtosis12.353317
Mean12.733668
Median Absolute Deviation (MAD)3
Skewness3.107453
Sum2534
Variance246.3176
MonotonicityNot monotonic
2023-12-10T15:27:50.891231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4 24
12.1%
3 21
 
10.6%
5 20
 
10.1%
6 18
 
9.0%
7 16
 
8.0%
9 11
 
5.5%
8 10
 
5.0%
2 9
 
4.5%
10 6
 
3.0%
13 5
 
2.5%
Other values (33) 59
29.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 9
 
4.5%
3 21
10.6%
4 24
12.1%
5 20
10.1%
6 18
9.0%
7 16
8.0%
8 10
5.0%
9 11
5.5%
10 6
 
3.0%
ValueCountFrequency (%)
114 1
0.5%
78 1
0.5%
77 1
0.5%
73 1
0.5%
70 1
0.5%
62 1
0.5%
49 1
0.5%
46 1
0.5%
43 1
0.5%
42 2
1.0%

2.68
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.095477
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:51.108002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q315
95-th percentile33.1
Maximum109
Range108
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.882841
Coefficient of variation (CV)1.1477712
Kurtosis17.370223
Mean12.095477
Median Absolute Deviation (MAD)3
Skewness3.5730199
Sum2407
Variance192.73326
MonotonicityNot monotonic
2023-12-10T15:27:51.321614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 22
 
11.1%
3 21
 
10.6%
6 18
 
9.0%
4 18
 
9.0%
7 17
 
8.5%
8 13
 
6.5%
9 12
 
6.0%
14 9
 
4.5%
2 7
 
3.5%
15 6
 
3.0%
Other values (29) 56
28.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 21
10.6%
4 18
9.0%
5 22
11.1%
6 18
9.0%
7 17
8.5%
8 13
6.5%
9 12
6.0%
10 2
 
1.0%
ValueCountFrequency (%)
109 1
0.5%
81 1
0.5%
80 1
0.5%
57 2
1.0%
52 1
0.5%
41 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%
33 1
0.5%

2.69
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.80402
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:51.541148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q316
95-th percentile41.3
Maximum118
Range117
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.392289
Coefficient of variation (CV)1.2599437
Kurtosis13.645185
Mean13.80402
Median Absolute Deviation (MAD)3
Skewness3.367152
Sum2747
Variance302.4917
MonotonicityNot monotonic
2023-12-10T15:27:51.755480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5 23
 
11.6%
4 23
 
11.6%
3 16
 
8.0%
7 16
 
8.0%
6 15
 
7.5%
9 10
 
5.0%
8 10
 
5.0%
10 8
 
4.0%
11 7
 
3.5%
2 5
 
2.5%
Other values (33) 66
33.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 5
 
2.5%
3 16
8.0%
4 23
11.6%
5 23
11.6%
6 15
7.5%
7 16
8.0%
8 10
5.0%
9 10
5.0%
10 8
 
4.0%
ValueCountFrequency (%)
118 1
0.5%
101 1
0.5%
99 1
0.5%
87 1
0.5%
77 1
0.5%
65 1
0.5%
61 1
0.5%
57 1
0.5%
46 1
0.5%
44 1
0.5%

2.70
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.562814
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:51.940628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median8
Q313
95-th percentile32
Maximum75
Range74
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.057724
Coefficient of variation (CV)1.0428019
Kurtosis10.299378
Mean11.562814
Median Absolute Deviation (MAD)3
Skewness2.9598304
Sum2301
Variance145.38871
MonotonicityNot monotonic
2023-12-10T15:27:52.143618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 24
12.1%
4 21
 
10.6%
9 19
 
9.5%
5 19
 
9.5%
3 16
 
8.0%
8 14
 
7.0%
7 11
 
5.5%
11 8
 
4.0%
13 7
 
3.5%
10 5
 
2.5%
Other values (27) 55
27.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 4
 
2.0%
3 16
8.0%
4 21
10.6%
5 19
9.5%
6 24
12.1%
7 11
5.5%
8 14
7.0%
9 19
9.5%
10 5
 
2.5%
ValueCountFrequency (%)
75 1
0.5%
66 1
0.5%
65 1
0.5%
63 2
1.0%
57 1
0.5%
42 1
0.5%
38 1
0.5%
33 1
0.5%
32 2
1.0%
29 2
1.0%

3.45
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.718593
Minimum2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:52.378386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q314
95-th percentile26.1
Maximum43
Range41
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.6449763
Coefficient of variation (CV)0.65238005
Kurtosis2.7662055
Mean11.718593
Median Absolute Deviation (MAD)3
Skewness1.6119133
Sum2332
Variance58.445663
MonotonicityNot monotonic
2023-12-10T15:27:52.561543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 23
 
11.6%
7 17
 
8.5%
9 16
 
8.0%
5 14
 
7.0%
12 14
 
7.0%
8 13
 
6.5%
10 12
 
6.0%
13 11
 
5.5%
4 10
 
5.0%
11 7
 
3.5%
Other values (24) 62
31.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 10
5.0%
5 14
7.0%
6 23
11.6%
7 17
8.5%
8 13
6.5%
9 16
8.0%
10 12
6.0%
11 7
 
3.5%
ValueCountFrequency (%)
43 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
36 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
31 2
1.0%
27 1
 
0.5%
26 4
2.0%

2.71
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.577889
Minimum2
Maximum236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:52.764770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q316
95-th percentile77.4
Maximum236
Range234
Interquartile range (IQR)12

Descriptive statistics

Standard deviation31.670378
Coefficient of variation (CV)1.704735
Kurtosis18.137417
Mean18.577889
Median Absolute Deviation (MAD)3
Skewness3.9068702
Sum3697
Variance1003.0128
MonotonicityNot monotonic
2023-12-10T15:27:53.421995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 23
 
11.6%
3 22
 
11.1%
6 21
 
10.6%
5 19
 
9.5%
7 12
 
6.0%
9 10
 
5.0%
8 9
 
4.5%
10 6
 
3.0%
2 6
 
3.0%
13 6
 
3.0%
Other values (42) 65
32.7%
ValueCountFrequency (%)
2 6
 
3.0%
3 22
11.1%
4 23
11.6%
5 19
9.5%
6 21
10.6%
7 12
6.0%
8 9
 
4.5%
9 10
5.0%
10 6
 
3.0%
11 4
 
2.0%
ValueCountFrequency (%)
236 1
0.5%
169 1
0.5%
167 2
1.0%
133 1
0.5%
106 1
0.5%
99 1
0.5%
96 1
0.5%
81 2
1.0%
77 1
0.5%
69 1
0.5%

2.72
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.452261
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:53.642384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q318
95-th percentile45.3
Maximum134
Range133
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.956639
Coefficient of variation (CV)1.3348417
Kurtosis17.400261
Mean13.452261
Median Absolute Deviation (MAD)4
Skewness3.6898153
Sum2677
Variance322.44089
MonotonicityNot monotonic
2023-12-10T15:27:53.880780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4 28
14.1%
3 21
 
10.6%
6 19
 
9.5%
5 16
 
8.0%
18 12
 
6.0%
7 12
 
6.0%
2 11
 
5.5%
8 10
 
5.0%
11 5
 
2.5%
9 5
 
2.5%
Other values (37) 60
30.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 11
 
5.5%
3 21
10.6%
4 28
14.1%
5 16
8.0%
6 19
9.5%
7 12
6.0%
8 10
 
5.0%
9 5
 
2.5%
10 3
 
1.5%
ValueCountFrequency (%)
134 1
0.5%
108 1
0.5%
106 1
0.5%
80 1
0.5%
67 1
0.5%
58 1
0.5%
56 1
0.5%
50 1
0.5%
49 1
0.5%
48 1
0.5%

2.73
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.060302
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:54.096969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median7
Q316
95-th percentile49.8
Maximum190
Range189
Interquartile range (IQR)12

Descriptive statistics

Standard deviation24.921014
Coefficient of variation (CV)1.5517152
Kurtosis18.797392
Mean16.060302
Median Absolute Deviation (MAD)4
Skewness3.9554971
Sum3196
Variance621.05695
MonotonicityNot monotonic
2023-12-10T15:27:54.317457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4 25
 
12.6%
5 23
 
11.6%
3 20
 
10.1%
6 13
 
6.5%
7 12
 
6.0%
8 11
 
5.5%
9 8
 
4.0%
13 7
 
3.5%
2 6
 
3.0%
11 5
 
2.5%
Other values (39) 69
34.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 6
 
3.0%
3 20
10.1%
4 25
12.6%
5 23
11.6%
6 13
6.5%
7 12
6.0%
8 11
5.5%
9 8
 
4.0%
10 3
 
1.5%
ValueCountFrequency (%)
190 1
 
0.5%
134 1
 
0.5%
130 1
 
0.5%
128 1
 
0.5%
108 1
 
0.5%
101 1
 
0.5%
97 1
 
0.5%
57 3
1.5%
49 1
 
0.5%
48 1
 
0.5%

0.28
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63316583
Minimum0
Maximum14
Zeros107
Zeros (%)53.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:54.483959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4252788
Coefficient of variation (CV)2.2510356
Kurtosis54.357174
Mean0.63316583
Median Absolute Deviation (MAD)0
Skewness6.7372041
Sum126
Variance2.0314197
MonotonicityNot monotonic
2023-12-10T15:27:54.615158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 107
53.8%
1 87
43.7%
14 1
 
0.5%
5 1
 
0.5%
2 1
 
0.5%
7 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 107
53.8%
1 87
43.7%
2 1
 
0.5%
5 1
 
0.5%
7 1
 
0.5%
11 1
 
0.5%
14 1
 
0.5%
ValueCountFrequency (%)
14 1
 
0.5%
11 1
 
0.5%
7 1
 
0.5%
5 1
 
0.5%
2 1
 
0.5%
1 87
43.7%
0 107
53.8%

3.46
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.884422
Minimum2
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:54.814301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile45.1
Maximum120
Range118
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.889771
Coefficient of variation (CV)1.2164547
Kurtosis13.545166
Mean13.884422
Median Absolute Deviation (MAD)3
Skewness3.3350698
Sum2763
Variance285.26435
MonotonicityNot monotonic
2023-12-10T15:27:55.042621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4 22
 
11.1%
5 18
 
9.0%
7 18
 
9.0%
6 17
 
8.5%
9 15
 
7.5%
3 14
 
7.0%
10 12
 
6.0%
8 12
 
6.0%
11 8
 
4.0%
12 5
 
2.5%
Other values (30) 58
29.1%
ValueCountFrequency (%)
2 3
 
1.5%
3 14
7.0%
4 22
11.1%
5 18
9.0%
6 17
8.5%
7 18
9.0%
8 12
6.0%
9 15
7.5%
10 12
6.0%
11 8
 
4.0%
ValueCountFrequency (%)
120 1
0.5%
92 1
0.5%
91 1
0.5%
86 1
0.5%
72 1
0.5%
68 1
0.5%
62 1
0.5%
50 1
0.5%
46 2
1.0%
45 1
0.5%

4.46
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.407035
Minimum3
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:55.282752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17.5
median12
Q317
95-th percentile33.1
Maximum57
Range54
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.9650982
Coefficient of variation (CV)0.69168279
Kurtosis3.8544649
Mean14.407035
Median Absolute Deviation (MAD)5
Skewness1.8303838
Sum2867
Variance99.303183
MonotonicityNot monotonic
2023-12-10T15:27:55.477078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 19
 
9.5%
9 16
 
8.0%
14 14
 
7.0%
10 14
 
7.0%
6 12
 
6.0%
12 12
 
6.0%
5 12
 
6.0%
8 12
 
6.0%
15 10
 
5.0%
16 8
 
4.0%
Other values (31) 70
35.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 5
 
2.5%
5 12
6.0%
6 12
6.0%
7 19
9.5%
8 12
6.0%
9 16
8.0%
10 14
7.0%
11 5
 
2.5%
12 12
6.0%
ValueCountFrequency (%)
57 1
0.5%
56 1
0.5%
50 1
0.5%
48 1
0.5%
47 1
0.5%
40 1
0.5%
39 1
0.5%
37 1
0.5%
36 1
0.5%
34 1
0.5%

32.1
Real number (ℝ)

Distinct124
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.26131
Minimum8
Maximum449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:55.711044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile35
Q157
median90
Q3132
95-th percentile244
Maximum449
Range441
Interquartile range (IQR)75

Descriptive statistics

Standard deviation74.195293
Coefficient of variation (CV)0.67906284
Kurtosis4.5982077
Mean109.26131
Median Absolute Deviation (MAD)36
Skewness1.8987825
Sum21743
Variance5504.9415
MonotonicityNot monotonic
2023-12-10T15:27:55.922451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
3.0%
66 6
 
3.0%
132 4
 
2.0%
53 3
 
1.5%
57 3
 
1.5%
42 3
 
1.5%
110 3
 
1.5%
62 3
 
1.5%
117 3
 
1.5%
72 3
 
1.5%
Other values (114) 162
81.4%
ValueCountFrequency (%)
8 1
0.5%
17 1
0.5%
21 2
1.0%
22 1
0.5%
24 1
0.5%
27 1
0.5%
31 1
0.5%
32 1
0.5%
35 2
1.0%
37 1
0.5%
ValueCountFrequency (%)
449 1
0.5%
412 1
0.5%
382 1
0.5%
381 1
0.5%
322 1
0.5%
313 2
1.0%
304 1
0.5%
263 1
0.5%
262 1
0.5%
242 1
0.5%

35
Real number (ℝ)

Distinct133
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.13568
Minimum12
Maximum599
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:56.132917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile38.8
Q163.5
median95
Q3147.5
95-th percentile277.9
Maximum599
Range587
Interquartile range (IQR)84

Descriptive statistics

Standard deviation92.353934
Coefficient of variation (CV)0.74397575
Kurtosis6.4224541
Mean124.13568
Median Absolute Deviation (MAD)39
Skewness2.220023
Sum24703
Variance8529.2492
MonotonicityNot monotonic
2023-12-10T15:27:56.382328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 5
 
2.5%
117 4
 
2.0%
75 4
 
2.0%
57 4
 
2.0%
140 4
 
2.0%
66 4
 
2.0%
65 3
 
1.5%
53 3
 
1.5%
95 3
 
1.5%
91 3
 
1.5%
Other values (123) 162
81.4%
ValueCountFrequency (%)
12 1
0.5%
20 1
0.5%
23 2
1.0%
24 1
0.5%
27 1
0.5%
34 2
1.0%
35 1
0.5%
37 1
0.5%
39 1
0.5%
40 2
1.0%
ValueCountFrequency (%)
599 1
0.5%
502 1
0.5%
501 1
0.5%
448 1
0.5%
445 1
0.5%
394 1
0.5%
340 1
0.5%
336 1
0.5%
326 1
0.5%
322 1
0.5%

5.17
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.904523
Minimum3
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:56.619846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q111
median16
Q324.5
95-th percentile46.1
Maximum90
Range87
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation13.584971
Coefficient of variation (CV)0.68250676
Kurtosis4.6873554
Mean19.904523
Median Absolute Deviation (MAD)7
Skewness1.8279563
Sum3961
Variance184.55144
MonotonicityNot monotonic
2023-12-10T15:27:56.819978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 14
 
7.0%
18 11
 
5.5%
13 10
 
5.0%
8 10
 
5.0%
9 10
 
5.0%
10 9
 
4.5%
15 9
 
4.5%
23 8
 
4.0%
17 8
 
4.0%
24 7
 
3.5%
Other values (42) 103
51.8%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 3
 
1.5%
6 5
 
2.5%
7 6
3.0%
8 10
5.0%
9 10
5.0%
10 9
4.5%
11 6
3.0%
12 14
7.0%
ValueCountFrequency (%)
90 1
0.5%
71 1
0.5%
70 1
0.5%
62 1
0.5%
56 1
0.5%
51 1
0.5%
50 1
0.5%
49 1
0.5%
48 1
0.5%
47 1
0.5%

6.24
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.447236
Minimum2
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:57.022000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q111
median17
Q324
95-th percentile52.1
Maximum86
Range84
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.455644
Coefficient of variation (CV)0.70697299
Kurtosis4.2891468
Mean20.447236
Median Absolute Deviation (MAD)7
Skewness1.8797856
Sum4069
Variance208.96564
MonotonicityNot monotonic
2023-12-10T15:27:57.247119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 12
 
6.0%
9 11
 
5.5%
8 11
 
5.5%
13 10
 
5.0%
11 8
 
4.0%
12 8
 
4.0%
15 8
 
4.0%
19 8
 
4.0%
16 7
 
3.5%
24 7
 
3.5%
Other values (41) 109
54.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 3
 
1.5%
5 2
 
1.0%
6 6
3.0%
7 7
3.5%
8 11
5.5%
9 11
5.5%
10 6
3.0%
11 8
4.0%
ValueCountFrequency (%)
86 1
0.5%
77 1
0.5%
76 1
0.5%
73 1
0.5%
59 1
0.5%
58 1
0.5%
54 2
1.0%
53 2
1.0%
52 1
0.5%
49 1
0.5%

6.25
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.417085
Minimum2
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:57.453120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.9
Q111
median17
Q328
95-th percentile54.1
Maximum118
Range116
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.637824
Coefficient of variation (CV)0.78680273
Kurtosis8.204558
Mean22.417085
Median Absolute Deviation (MAD)7
Skewness2.4758993
Sum4461
Variance311.09284
MonotonicityNot monotonic
2023-12-10T15:27:57.642886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 17
 
8.5%
11 12
 
6.0%
15 10
 
5.0%
9 10
 
5.0%
14 10
 
5.0%
28 9
 
4.5%
20 9
 
4.5%
25 7
 
3.5%
16 7
 
3.5%
7 6
 
3.0%
Other values (45) 102
51.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 4
 
2.0%
7 6
 
3.0%
8 4
 
2.0%
9 10
5.0%
10 17
8.5%
11 12
6.0%
ValueCountFrequency (%)
118 1
0.5%
101 2
1.0%
85 1
0.5%
78 1
0.5%
71 1
0.5%
68 2
1.0%
60 1
0.5%
55 1
0.5%
54 1
0.5%
51 1
0.5%

6.26
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.703518
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:57.849687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median16
Q325
95-th percentile48.3
Maximum106
Range105
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.987291
Coefficient of variation (CV)0.77220168
Kurtosis8.7267676
Mean20.703518
Median Absolute Deviation (MAD)7
Skewness2.5696815
Sum4120
Variance255.59347
MonotonicityNot monotonic
2023-12-10T15:27:58.080184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
16 14
 
7.0%
8 14
 
7.0%
13 13
 
6.5%
11 11
 
5.5%
25 10
 
5.0%
12 9
 
4.5%
15 8
 
4.0%
21 8
 
4.0%
7 7
 
3.5%
24 7
 
3.5%
Other values (38) 98
49.2%
ValueCountFrequency (%)
1 1
 
0.5%
3 1
 
0.5%
4 5
 
2.5%
6 4
 
2.0%
7 7
3.5%
8 14
7.0%
9 6
3.0%
10 6
3.0%
11 11
5.5%
12 9
4.5%
ValueCountFrequency (%)
106 1
0.5%
100 1
0.5%
89 1
0.5%
74 1
0.5%
71 1
0.5%
68 1
0.5%
62 2
1.0%
59 1
0.5%
51 1
0.5%
48 2
1.0%

9.5
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.160804
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:58.278383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q113.5
median20
Q332
95-th percentile66.3
Maximum119
Range118
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation18.769852
Coefficient of variation (CV)0.74599572
Kurtosis5.7290258
Mean25.160804
Median Absolute Deviation (MAD)9
Skewness2.0467672
Sum5007
Variance352.30734
MonotonicityNot monotonic
2023-12-10T15:27:58.486050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 12
 
6.0%
26 10
 
5.0%
15 8
 
4.0%
11 8
 
4.0%
18 8
 
4.0%
6 8
 
4.0%
21 8
 
4.0%
16 7
 
3.5%
8 7
 
3.5%
32 7
 
3.5%
Other values (49) 116
58.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
4 4
2.0%
5 1
 
0.5%
6 8
4.0%
7 2
 
1.0%
8 7
3.5%
9 5
2.5%
10 2
 
1.0%
ValueCountFrequency (%)
119 1
0.5%
107 1
0.5%
94 1
0.5%
88 1
0.5%
85 1
0.5%
73 1
0.5%
71 1
0.5%
70 1
0.5%
69 2
1.0%
66 1
0.5%

6.27
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.095477
Minimum4
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:58.720939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q111
median17
Q328
95-th percentile63
Maximum117
Range113
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.324128
Coefficient of variation (CV)0.79340763
Kurtosis6.1267845
Mean23.095477
Median Absolute Deviation (MAD)7
Skewness2.1901956
Sum4596
Variance335.77367
MonotonicityNot monotonic
2023-12-10T15:27:58.946430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 12
 
6.0%
8 12
 
6.0%
10 10
 
5.0%
16 9
 
4.5%
11 9
 
4.5%
17 9
 
4.5%
24 8
 
4.0%
9 8
 
4.0%
12 8
 
4.0%
14 7
 
3.5%
Other values (42) 107
53.8%
ValueCountFrequency (%)
4 2
 
1.0%
5 5
2.5%
6 2
 
1.0%
7 5
2.5%
8 12
6.0%
9 8
4.0%
10 10
5.0%
11 9
4.5%
12 8
4.0%
13 12
6.0%
ValueCountFrequency (%)
117 1
0.5%
102 1
0.5%
99 1
0.5%
77 1
0.5%
76 1
0.5%
74 1
0.5%
69 1
0.5%
64 2
1.0%
63 2
1.0%
56 1
0.5%

0.29
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52261307
Minimum0
Maximum12
Zeros124
Zeros (%)62.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:59.153816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2626096
Coefficient of variation (CV)2.4159549
Kurtosis51.20575
Mean0.52261307
Median Absolute Deviation (MAD)0
Skewness6.4955173
Sum104
Variance1.594183
MonotonicityNot monotonic
2023-12-10T15:27:59.324836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 124
62.3%
1 70
35.2%
12 1
 
0.5%
4 1
 
0.5%
2 1
 
0.5%
6 1
 
0.5%
10 1
 
0.5%
ValueCountFrequency (%)
0 124
62.3%
1 70
35.2%
2 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
10 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
2 1
 
0.5%
1 70
35.2%
0 124
62.3%

5.18
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.371859
Minimum2
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:27:59.565217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.9
Q110
median16
Q327.5
95-th percentile57
Maximum105
Range103
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation16.964979
Coefficient of variation (CV)0.79379987
Kurtosis3.8282401
Mean21.371859
Median Absolute Deviation (MAD)7
Skewness1.8249747
Sum4253
Variance287.81052
MonotonicityNot monotonic
2023-12-10T15:27:59.817624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 15
 
7.5%
8 14
 
7.0%
15 10
 
5.0%
10 10
 
5.0%
16 9
 
4.5%
21 9
 
4.5%
11 8
 
4.0%
13 8
 
4.0%
7 7
 
3.5%
18 7
 
3.5%
Other values (43) 102
51.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 1
 
0.5%
5 5
 
2.5%
6 6
3.0%
7 7
3.5%
8 14
7.0%
9 7
3.5%
10 10
5.0%
11 8
4.0%
ValueCountFrequency (%)
105 1
0.5%
77 2
1.0%
75 1
0.5%
71 1
0.5%
68 1
0.5%
60 1
0.5%
59 1
0.5%
58 1
0.5%
57 2
1.0%
56 2
1.0%

6.28
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.763819
Minimum2
Maximum272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:00.028645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6.9
Q111
median16
Q332.5
95-th percentile65
Maximum272
Range270
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation31.16994
Coefficient of variation (CV)1.2098338
Kurtosis38.217187
Mean25.763819
Median Absolute Deviation (MAD)7
Skewness5.4144998
Sum5127
Variance971.56515
MonotonicityNot monotonic
2023-12-10T15:28:00.281045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
7.5%
9 13
 
6.5%
14 11
 
5.5%
15 10
 
5.0%
13 10
 
5.0%
18 8
 
4.0%
12 8
 
4.0%
16 7
 
3.5%
7 6
 
3.0%
21 6
 
3.0%
Other values (48) 105
52.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 4
 
2.0%
7 6
 
3.0%
8 4
 
2.0%
9 13
6.5%
10 15
7.5%
11 6
 
3.0%
ValueCountFrequency (%)
272 1
0.5%
270 1
0.5%
133 1
0.5%
104 1
0.5%
102 1
0.5%
88 1
0.5%
76 1
0.5%
66 2
1.0%
65 2
1.0%
59 1
0.5%

7.12
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.638191
Minimum2
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:01.004971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q112
median19
Q327.5
95-th percentile53.8
Maximum154
Range152
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation19.359693
Coefficient of variation (CV)0.81900063
Kurtosis17.359224
Mean23.638191
Median Absolute Deviation (MAD)7
Skewness3.465676
Sum4704
Variance374.79773
MonotonicityNot monotonic
2023-12-10T15:28:01.218417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 19
 
9.5%
23 9
 
4.5%
15 9
 
4.5%
11 9
 
4.5%
17 8
 
4.0%
14 8
 
4.0%
33 7
 
3.5%
24 7
 
3.5%
18 7
 
3.5%
9 7
 
3.5%
Other values (45) 109
54.8%
ValueCountFrequency (%)
2 1
 
0.5%
4 1
 
0.5%
5 3
 
1.5%
6 2
 
1.0%
7 4
 
2.0%
8 5
 
2.5%
9 7
 
3.5%
10 5
 
2.5%
11 9
4.5%
12 19
9.5%
ValueCountFrequency (%)
154 1
0.5%
142 1
0.5%
90 1
0.5%
82 1
0.5%
78 1
0.5%
76 1
0.5%
68 1
0.5%
66 1
0.5%
62 1
0.5%
61 1
0.5%

11.4
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.929648
Minimum2
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:01.442640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.9
Q116
median26
Q339
95-th percentile80.2
Maximum136
Range134
Interquartile range (IQR)23

Descriptive statistics

Standard deviation22.398933
Coefficient of variation (CV)0.72418971
Kurtosis5.1909779
Mean30.929648
Median Absolute Deviation (MAD)12
Skewness1.9731431
Sum6155
Variance501.7122
MonotonicityNot monotonic
2023-12-10T15:28:01.700829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 8
 
4.0%
11 8
 
4.0%
22 7
 
3.5%
19 7
 
3.5%
14 7
 
3.5%
20 6
 
3.0%
13 6
 
3.0%
27 6
 
3.0%
18 6
 
3.0%
26 5
 
2.5%
Other values (58) 133
66.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 2
 
1.0%
7 3
 
1.5%
8 3
 
1.5%
9 3
 
1.5%
10 2
 
1.0%
11 8
4.0%
ValueCountFrequency (%)
136 1
0.5%
132 1
0.5%
108 2
1.0%
103 1
0.5%
90 1
0.5%
87 1
0.5%
84 1
0.5%
82 2
1.0%
80 1
0.5%
72 1
0.5%

19.5
Real number (ℝ)

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.678392
Minimum12
Maximum411
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:01.946320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile24
Q139
median62
Q3101.5
95-th percentile237.3
Maximum411
Range399
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation69.680346
Coefficient of variation (CV)0.82288225
Kurtosis4.9843879
Mean84.678392
Median Absolute Deviation (MAD)27
Skewness2.0822755
Sum16851
Variance4855.3506
MonotonicityNot monotonic
2023-12-10T15:28:02.177567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 7
 
3.5%
31 6
 
3.0%
33 5
 
2.5%
39 5
 
2.5%
32 4
 
2.0%
77 4
 
2.0%
24 4
 
2.0%
25 3
 
1.5%
67 3
 
1.5%
36 3
 
1.5%
Other values (106) 155
77.9%
ValueCountFrequency (%)
12 2
1.0%
18 1
 
0.5%
19 1
 
0.5%
20 1
 
0.5%
22 2
1.0%
23 1
 
0.5%
24 4
2.0%
25 3
1.5%
26 1
 
0.5%
27 2
1.0%
ValueCountFrequency (%)
411 1
0.5%
398 1
0.5%
312 1
0.5%
298 1
0.5%
297 1
0.5%
286 1
0.5%
272 1
0.5%
263 1
0.5%
242 1
0.5%
240 1
0.5%

20.1
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97.060302
Minimum14
Maximum502
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:02.412534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile26
Q140
median65
Q3116
95-th percentile275
Maximum502
Range488
Interquartile range (IQR)76

Descriptive statistics

Standard deviation90.836441
Coefficient of variation (CV)0.93587635
Kurtosis6.1914824
Mean97.060302
Median Absolute Deviation (MAD)29
Skewness2.3546687
Sum19315
Variance8251.259
MonotonicityNot monotonic
2023-12-10T15:28:02.643498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 7
 
3.5%
53 5
 
2.5%
39 5
 
2.5%
44 4
 
2.0%
36 4
 
2.0%
31 4
 
2.0%
55 4
 
2.0%
69 4
 
2.0%
51 3
 
1.5%
43 3
 
1.5%
Other values (104) 156
78.4%
ValueCountFrequency (%)
14 2
1.0%
20 1
 
0.5%
21 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
25 2
1.0%
26 3
1.5%
27 3
1.5%
28 2
1.0%
ValueCountFrequency (%)
502 1
0.5%
494 1
0.5%
485 1
0.5%
443 1
0.5%
394 1
0.5%
389 1
0.5%
347 1
0.5%
331 1
0.5%
294 1
0.5%
284 1
0.5%

3.47
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.964824
Minimum2
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:02.936124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q321
95-th percentile64
Maximum184
Range182
Interquartile range (IQR)14

Descriptive statistics

Standard deviation23.375152
Coefficient of variation (CV)1.2325531
Kurtosis16.188941
Mean18.964824
Median Absolute Deviation (MAD)5
Skewness3.4960586
Sum3774
Variance546.39775
MonotonicityNot monotonic
2023-12-10T15:28:03.168231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18
 
9.0%
7 14
 
7.0%
11 14
 
7.0%
6 13
 
6.5%
8 13
 
6.5%
9 11
 
5.5%
10 11
 
5.5%
4 9
 
4.5%
14 7
 
3.5%
12 7
 
3.5%
Other values (40) 82
41.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 4
 
2.0%
4 9
4.5%
5 18
9.0%
6 13
6.5%
7 14
7.0%
8 13
6.5%
9 11
5.5%
10 11
5.5%
11 14
7.0%
ValueCountFrequency (%)
184 1
 
0.5%
122 1
 
0.5%
113 1
 
0.5%
112 1
 
0.5%
84 3
1.5%
75 1
 
0.5%
69 1
 
0.5%
64 3
1.5%
61 1
 
0.5%
57 1
 
0.5%

3.48
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.41206
Minimum2
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:03.374877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q322
95-th percentile45
Maximum80
Range78
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.396305
Coefficient of variation (CV)0.8771784
Kurtosis4.7907552
Mean16.41206
Median Absolute Deviation (MAD)5
Skewness2.0588939
Sum3266
Variance207.25359
MonotonicityNot monotonic
2023-12-10T15:28:03.587376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5 19
 
9.5%
8 17
 
8.5%
7 15
 
7.5%
10 14
 
7.0%
11 11
 
5.5%
14 11
 
5.5%
9 10
 
5.0%
12 8
 
4.0%
4 7
 
3.5%
6 7
 
3.5%
Other values (35) 80
40.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 3
 
1.5%
4 7
 
3.5%
5 19
9.5%
6 7
 
3.5%
7 15
7.5%
8 17
8.5%
9 10
5.0%
10 14
7.0%
11 11
5.5%
ValueCountFrequency (%)
80 1
 
0.5%
79 1
 
0.5%
72 1
 
0.5%
67 1
 
0.5%
59 1
 
0.5%
58 1
 
0.5%
56 1
 
0.5%
50 1
 
0.5%
46 1
 
0.5%
45 3
1.5%

4.47
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.683417
Minimum2
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:03.815035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median12
Q321
95-th percentile53.3
Maximum115
Range113
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.998968
Coefficient of variation (CV)0.96129432
Kurtosis7.4915358
Mean17.683417
Median Absolute Deviation (MAD)6
Skewness2.4447708
Sum3519
Variance288.96493
MonotonicityNot monotonic
2023-12-10T15:28:04.014972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
6 19
 
9.5%
9 18
 
9.0%
7 13
 
6.5%
12 11
 
5.5%
5 11
 
5.5%
8 11
 
5.5%
11 8
 
4.0%
10 7
 
3.5%
4 7
 
3.5%
13 7
 
3.5%
Other values (38) 87
43.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 2
 
1.0%
4 7
 
3.5%
5 11
5.5%
6 19
9.5%
7 13
6.5%
8 11
5.5%
9 18
9.0%
10 7
 
3.5%
11 8
4.0%
ValueCountFrequency (%)
115 1
0.5%
84 1
0.5%
83 1
0.5%
71 1
0.5%
65 2
1.0%
63 1
0.5%
60 1
0.5%
59 1
0.5%
56 1
0.5%
53 1
0.5%

4.48
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.336683
Minimum2
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:04.215830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317.5
95-th percentile42
Maximum94
Range92
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation13.325839
Coefficient of variation (CV)0.86888663
Kurtosis10.102919
Mean15.336683
Median Absolute Deviation (MAD)4
Skewness2.7131671
Sum3052
Variance177.57799
MonotonicityNot monotonic
2023-12-10T15:28:04.424515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7 22
 
11.1%
10 17
 
8.5%
14 15
 
7.5%
6 12
 
6.0%
5 12
 
6.0%
9 12
 
6.0%
12 10
 
5.0%
8 10
 
5.0%
13 8
 
4.0%
4 8
 
4.0%
Other values (32) 73
36.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 1
 
0.5%
4 8
 
4.0%
5 12
6.0%
6 12
6.0%
7 22
11.1%
8 10
5.0%
9 12
6.0%
10 17
8.5%
11 4
 
2.0%
ValueCountFrequency (%)
94 1
 
0.5%
86 1
 
0.5%
64 1
 
0.5%
52 1
 
0.5%
50 1
 
0.5%
45 2
1.0%
44 1
 
0.5%
43 1
 
0.5%
42 3
1.5%
41 2
1.0%

H
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
H
128 
V
64 
A
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowV
2nd rowH
3rd rowV
4th rowH
5th rowV

Common Values

ValueCountFrequency (%)
H 128
64.3%
V 64
32.2%
A 7
 
3.5%

Length

2023-12-10T15:28:04.622997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:04.777757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h 128
64.3%
v 64
32.2%
a 7
 
3.5%

0.30
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
157 
1
38 
7
 
2
3
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 157
78.9%
1 38
 
19.1%
7 2
 
1.0%
3 1
 
0.5%
5 1
 
0.5%

Length

2023-12-10T15:28:04.946692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:05.122826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 157
78.9%
1 38
 
19.1%
7 2
 
1.0%
3 1
 
0.5%
5 1
 
0.5%

5.19
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.974874
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:05.323527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q19
median13
Q320
95-th percentile39.1
Maximum70
Range68
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.99469
Coefficient of variation (CV)0.68824891
Kurtosis5.0716199
Mean15.974874
Median Absolute Deviation (MAD)5
Skewness1.9424351
Sum3179
Variance120.8832
MonotonicityNot monotonic
2023-12-10T15:28:05.576806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
10 18
 
9.0%
9 13
 
6.5%
12 13
 
6.5%
6 12
 
6.0%
15 11
 
5.5%
19 11
 
5.5%
8 9
 
4.5%
7 8
 
4.0%
14 8
 
4.0%
4 7
 
3.5%
Other values (33) 89
44.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 7
 
3.5%
5 5
 
2.5%
6 12
6.0%
7 8
4.0%
8 9
4.5%
9 13
6.5%
10 18
9.0%
11 7
 
3.5%
ValueCountFrequency (%)
70 1
0.5%
63 1
0.5%
55 1
0.5%
52 1
0.5%
50 1
0.5%
43 1
0.5%
42 1
0.5%
41 2
1.0%
40 1
0.5%
39 1
0.5%

3.49
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.708543
Minimum3
Maximum283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:05.819298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q326
95-th percentile92.9
Maximum283
Range280
Interquartile range (IQR)19

Descriptive statistics

Standard deviation40.618519
Coefficient of variation (CV)1.579962
Kurtosis16.729905
Mean25.708543
Median Absolute Deviation (MAD)5
Skewness3.8060007
Sum5116
Variance1649.8641
MonotonicityNot monotonic
2023-12-10T15:28:06.049824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 20
 
10.1%
5 17
 
8.5%
6 14
 
7.0%
10 11
 
5.5%
9 10
 
5.0%
7 10
 
5.0%
12 8
 
4.0%
4 8
 
4.0%
11 8
 
4.0%
14 8
 
4.0%
Other values (48) 85
42.7%
ValueCountFrequency (%)
3 3
 
1.5%
4 8
 
4.0%
5 17
8.5%
6 14
7.0%
7 10
5.0%
8 20
10.1%
9 10
5.0%
10 11
5.5%
11 8
 
4.0%
12 8
 
4.0%
ValueCountFrequency (%)
283 1
0.5%
233 1
0.5%
227 1
0.5%
211 1
0.5%
197 1
0.5%
125 1
0.5%
118 1
0.5%
115 1
0.5%
111 1
0.5%
110 1
0.5%

3.50
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.592965
Minimum2
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:06.288224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q323
95-th percentile45
Maximum85
Range83
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.704987
Coefficient of variation (CV)0.94648468
Kurtosis4.7962614
Mean16.592965
Median Absolute Deviation (MAD)5
Skewness2.0605225
Sum3302
Variance246.64662
MonotonicityNot monotonic
2023-12-10T15:28:06.519708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
7 24
 
12.1%
9 17
 
8.5%
5 15
 
7.5%
6 13
 
6.5%
11 11
 
5.5%
4 11
 
5.5%
10 9
 
4.5%
3 7
 
3.5%
12 6
 
3.0%
30 5
 
2.5%
Other values (35) 81
40.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 7
 
3.5%
4 11
5.5%
5 15
7.5%
6 13
6.5%
7 24
12.1%
8 5
 
2.5%
9 17
8.5%
10 9
 
4.5%
11 11
5.5%
ValueCountFrequency (%)
85 1
 
0.5%
83 1
 
0.5%
80 1
 
0.5%
68 2
1.0%
65 1
 
0.5%
61 1
 
0.5%
59 1
 
0.5%
45 3
1.5%
44 2
1.0%
42 1
 
0.5%

3.51
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.276382
Minimum2
Maximum217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:06.739224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q322
95-th percentile60.3
Maximum217
Range215
Interquartile range (IQR)15

Descriptive statistics

Standard deviation24.456083
Coefficient of variation (CV)1.2687071
Kurtosis25.946617
Mean19.276382
Median Absolute Deviation (MAD)5
Skewness4.3041234
Sum3836
Variance598.09999
MonotonicityNot monotonic
2023-12-10T15:28:06.958070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 19
 
9.5%
8 17
 
8.5%
5 16
 
8.0%
9 12
 
6.0%
7 11
 
5.5%
10 9
 
4.5%
11 9
 
4.5%
12 9
 
4.5%
4 8
 
4.0%
13 6
 
3.0%
Other values (45) 83
41.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 2
 
1.0%
4 8
4.0%
5 16
8.0%
6 19
9.5%
7 11
5.5%
8 17
8.5%
9 12
6.0%
10 9
4.5%
11 9
4.5%
ValueCountFrequency (%)
217 1
0.5%
138 1
0.5%
133 1
0.5%
100 1
0.5%
78 1
0.5%
73 1
0.5%
72 1
0.5%
68 1
0.5%
67 1
0.5%
63 1
0.5%

4.49
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.100503
Minimum3
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:07.134807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17.5
median12
Q318.5
95-th percentile48.3
Maximum122
Range119
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.273234
Coefficient of variation (CV)0.95162312
Kurtosis13.86731
Mean17.100503
Median Absolute Deviation (MAD)5
Skewness3.1827424
Sum3403
Variance264.81813
MonotonicityNot monotonic
2023-12-10T15:28:07.372259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
7 21
 
10.6%
6 14
 
7.0%
9 13
 
6.5%
12 11
 
5.5%
10 11
 
5.5%
8 10
 
5.0%
14 10
 
5.0%
5 9
 
4.5%
13 9
 
4.5%
11 8
 
4.0%
Other values (35) 83
41.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 4
 
2.0%
5 9
4.5%
6 14
7.0%
7 21
10.6%
8 10
5.0%
9 13
6.5%
10 11
5.5%
11 8
 
4.0%
12 11
5.5%
ValueCountFrequency (%)
122 1
0.5%
108 1
0.5%
79 1
0.5%
68 1
0.5%
57 1
0.5%
53 2
1.0%
52 2
1.0%
51 1
0.5%
48 2
1.0%
47 1
0.5%

6.29
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.748744
Minimum2
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:07.593306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q110
median15
Q323.5
95-th percentile48
Maximum80
Range78
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation13.06461
Coefficient of variation (CV)0.69682587
Kurtosis5.0560519
Mean18.748744
Median Absolute Deviation (MAD)6
Skewness1.9533447
Sum3731
Variance170.68403
MonotonicityNot monotonic
2023-12-10T15:28:07.825005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
11 12
 
6.0%
10 12
 
6.0%
9 10
 
5.0%
8 9
 
4.5%
14 9
 
4.5%
15 9
 
4.5%
20 8
 
4.0%
19 8
 
4.0%
7 8
 
4.0%
13 8
 
4.0%
Other values (38) 106
53.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 7
3.5%
5 2
 
1.0%
6 3
 
1.5%
7 8
4.0%
8 9
4.5%
9 10
5.0%
10 12
6.0%
11 12
6.0%
ValueCountFrequency (%)
80 1
0.5%
77 1
0.5%
64 1
0.5%
63 1
0.5%
60 1
0.5%
53 1
0.5%
51 1
0.5%
49 2
1.0%
48 2
1.0%
47 1
0.5%

20.2
Real number (ℝ)

Distinct106
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.502513
Minimum10
Maximum313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:08.526897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q135.5
median56
Q382
95-th percentile187.3
Maximum313
Range303
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation51.757288
Coefficient of variation (CV)0.74468227
Kurtosis5.0030688
Mean69.502513
Median Absolute Deviation (MAD)22
Skewness2.0843171
Sum13831
Variance2678.8169
MonotonicityNot monotonic
2023-12-10T15:28:08.758260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
3.0%
48 6
 
3.0%
62 5
 
2.5%
33 5
 
2.5%
22 5
 
2.5%
38 5
 
2.5%
68 5
 
2.5%
65 4
 
2.0%
30 4
 
2.0%
58 4
 
2.0%
Other values (96) 150
75.4%
ValueCountFrequency (%)
10 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
17 2
 
1.0%
18 1
 
0.5%
19 2
 
1.0%
20 3
1.5%
22 5
2.5%
24 3
1.5%
25 2
 
1.0%
ValueCountFrequency (%)
313 1
0.5%
277 1
0.5%
241 1
0.5%
233 1
0.5%
230 1
0.5%
229 1
0.5%
228 1
0.5%
224 1
0.5%
221 1
0.5%
190 1
0.5%

21.8
Real number (ℝ)

Distinct104
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.708543
Minimum10
Maximum368
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:08.989058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile16.9
Q134
median55
Q383
95-th percentile195.2
Maximum368
Range358
Interquartile range (IQR)49

Descriptive statistics

Standard deviation59.040266
Coefficient of variation (CV)0.82333658
Kurtosis6.298162
Mean71.708543
Median Absolute Deviation (MAD)22
Skewness2.3052132
Sum14270
Variance3485.753
MonotonicityNot monotonic
2023-12-10T15:28:09.220325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 6
 
3.0%
54 5
 
2.5%
38 5
 
2.5%
32 5
 
2.5%
67 5
 
2.5%
41 5
 
2.5%
27 5
 
2.5%
31 4
 
2.0%
34 4
 
2.0%
26 4
 
2.0%
Other values (94) 151
75.9%
ValueCountFrequency (%)
10 1
 
0.5%
11 1
 
0.5%
12 2
1.0%
14 2
1.0%
15 1
 
0.5%
16 3
1.5%
17 1
 
0.5%
18 1
 
0.5%
20 2
1.0%
21 1
 
0.5%
ValueCountFrequency (%)
368 1
0.5%
316 1
0.5%
309 1
0.5%
262 1
0.5%
251 1
0.5%
249 1
0.5%
248 1
0.5%
242 1
0.5%
231 1
0.5%
197 1
0.5%

3.52
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.924623
Minimum2
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:09.432029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317.5
95-th percentile36
Maximum62
Range60
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation10.737424
Coefficient of variation (CV)0.77111055
Kurtosis4.8310274
Mean13.924623
Median Absolute Deviation (MAD)5
Skewness2.0042738
Sum2771
Variance115.29227
MonotonicityNot monotonic
2023-12-10T15:28:09.640699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 18
 
9.0%
7 14
 
7.0%
6 14
 
7.0%
11 13
 
6.5%
9 13
 
6.5%
8 12
 
6.0%
10 11
 
5.5%
13 10
 
5.0%
4 8
 
4.0%
19 7
 
3.5%
Other values (29) 79
39.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 8
4.0%
5 18
9.0%
6 14
7.0%
7 14
7.0%
8 12
6.0%
9 13
6.5%
10 11
5.5%
11 13
6.5%
ValueCountFrequency (%)
62 2
1.0%
55 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
45 1
 
0.5%
42 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 4
2.0%
34 2
1.0%

3.53
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.60804
Minimum2
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:09.861703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314
95-th percentile34.1
Maximum53
Range51
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.4973221
Coefficient of variation (CV)0.75327505
Kurtosis3.494156
Mean12.60804
Median Absolute Deviation (MAD)4
Skewness1.8423248
Sum2509
Variance90.199127
MonotonicityNot monotonic
2023-12-10T15:28:10.092289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 18
 
9.0%
8 17
 
8.5%
5 16
 
8.0%
11 16
 
8.0%
10 14
 
7.0%
4 13
 
6.5%
12 11
 
5.5%
6 10
 
5.0%
9 9
 
4.5%
13 9
 
4.5%
Other values (29) 66
33.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 5
 
2.5%
4 13
6.5%
5 16
8.0%
6 10
5.0%
7 18
9.0%
8 17
8.5%
9 9
4.5%
10 14
7.0%
11 16
8.0%
ValueCountFrequency (%)
53 1
0.5%
48 2
1.0%
41 1
0.5%
39 2
1.0%
38 1
0.5%
37 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%
33 1
0.5%

0.31
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20100503
Minimum0
Maximum6
Zeros173
Zeros (%)86.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:10.294282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.71052619
Coefficient of variation (CV)3.5348678
Kurtosis36.583411
Mean0.20100503
Median Absolute Deviation (MAD)0
Skewness5.5768062
Sum40
Variance0.50484747
MonotonicityNot monotonic
2023-12-10T15:28:10.446473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 173
86.9%
1 22
 
11.1%
5 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 173
86.9%
1 22
 
11.1%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 1
 
0.5%
1 22
 
11.1%
0 173
86.9%

4.50
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.758794
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:10.682030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316.5
95-th percentile35
Maximum70
Range68
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation11.143785
Coefficient of variation (CV)0.8099391
Kurtosis7.4297793
Mean13.758794
Median Absolute Deviation (MAD)5
Skewness2.4342455
Sum2738
Variance124.18395
MonotonicityNot monotonic
2023-12-10T15:28:10.885976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
6 19
 
9.5%
12 16
 
8.0%
9 15
 
7.5%
8 14
 
7.0%
7 14
 
7.0%
5 13
 
6.5%
11 9
 
4.5%
13 8
 
4.0%
4 8
 
4.0%
10 8
 
4.0%
Other values (31) 75
37.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 8
4.0%
5 13
6.5%
6 19
9.5%
7 14
7.0%
8 14
7.0%
9 15
7.5%
10 8
4.0%
11 9
4.5%
ValueCountFrequency (%)
70 1
0.5%
64 1
0.5%
62 1
0.5%
58 1
0.5%
48 1
0.5%
43 2
1.0%
41 1
0.5%
38 1
0.5%
35 2
1.0%
34 2
1.0%

4.51
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.251256
Minimum2
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:11.095209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314
95-th percentile36.4
Maximum113
Range111
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.45668
Coefficient of variation (CV)0.94003766
Kurtosis22.309315
Mean13.251256
Median Absolute Deviation (MAD)4
Skewness3.8190171
Sum2637
Variance155.16887
MonotonicityNot monotonic
2023-12-10T15:28:11.288073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 18
 
9.0%
10 16
 
8.0%
5 16
 
8.0%
8 14
 
7.0%
14 13
 
6.5%
9 12
 
6.0%
4 12
 
6.0%
6 12
 
6.0%
13 12
 
6.0%
12 9
 
4.5%
Other values (29) 65
32.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 7
 
3.5%
4 12
6.0%
5 16
8.0%
6 12
6.0%
7 18
9.0%
8 14
7.0%
9 12
6.0%
10 16
8.0%
11 8
4.0%
ValueCountFrequency (%)
113 1
0.5%
59 1
0.5%
57 1
0.5%
55 1
0.5%
48 1
0.5%
46 2
1.0%
43 1
0.5%
42 1
0.5%
40 1
0.5%
36 1
0.5%

6.30
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.683417
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:11.486460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q16
median12
Q319
95-th percentile46.2
Maximum88
Range87
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.903174
Coefficient of variation (CV)0.88648885
Kurtosis6.21314
Mean15.683417
Median Absolute Deviation (MAD)6
Skewness2.2056518
Sum3121
Variance193.29826
MonotonicityNot monotonic
2023-12-10T15:28:11.699619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4 14
 
7.0%
10 13
 
6.5%
8 11
 
5.5%
5 9
 
4.5%
6 9
 
4.5%
3 9
 
4.5%
19 9
 
4.5%
9 8
 
4.0%
18 8
 
4.0%
15 8
 
4.0%
Other values (34) 101
50.8%
ValueCountFrequency (%)
1 4
 
2.0%
2 6
3.0%
3 9
4.5%
4 14
7.0%
5 9
4.5%
6 9
4.5%
7 6
3.0%
8 11
5.5%
9 8
4.0%
10 13
6.5%
ValueCountFrequency (%)
88 1
0.5%
72 1
0.5%
66 1
0.5%
64 1
0.5%
59 2
1.0%
52 1
0.5%
51 1
0.5%
49 1
0.5%
48 1
0.5%
46 1
0.5%

3.54
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.266332
Minimum2
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:11.906017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q318.5
95-th percentile36
Maximum61
Range59
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation10.577011
Coefficient of variation (CV)0.74139666
Kurtosis2.7345697
Mean14.266332
Median Absolute Deviation (MAD)5
Skewness1.6000261
Sum2839
Variance111.87315
MonotonicityNot monotonic
2023-12-10T15:28:12.120554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 17
 
8.5%
6 16
 
8.0%
7 13
 
6.5%
9 13
 
6.5%
8 12
 
6.0%
13 12
 
6.0%
14 11
 
5.5%
11 11
 
5.5%
10 9
 
4.5%
4 8
 
4.0%
Other values (32) 77
38.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 8
4.0%
5 17
8.5%
6 16
8.0%
7 13
6.5%
8 12
6.0%
9 13
6.5%
10 9
4.5%
11 11
5.5%
ValueCountFrequency (%)
61 1
0.5%
53 1
0.5%
47 1
0.5%
46 1
0.5%
44 1
0.5%
42 1
0.5%
39 1
0.5%
38 1
0.5%
37 1
0.5%
36 2
1.0%

3.55
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.090452
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:12.343917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q15
median9
Q314
95-th percentile34.2
Maximum65
Range64
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.950387
Coefficient of variation (CV)0.9057053
Kurtosis5.7139421
Mean12.090452
Median Absolute Deviation (MAD)4
Skewness2.211896
Sum2406
Variance119.91097
MonotonicityNot monotonic
2023-12-10T15:28:12.521020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 24
 
12.1%
5 19
 
9.5%
6 18
 
9.0%
10 17
 
8.5%
4 16
 
8.0%
9 16
 
8.0%
2 8
 
4.0%
14 6
 
3.0%
11 6
 
3.0%
3 6
 
3.0%
Other values (31) 63
31.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 8
 
4.0%
3 6
 
3.0%
4 16
8.0%
5 19
9.5%
6 18
9.0%
7 24
12.1%
8 5
 
2.5%
9 16
8.0%
10 17
8.5%
ValueCountFrequency (%)
65 1
0.5%
64 1
0.5%
49 1
0.5%
45 2
1.0%
43 1
0.5%
42 1
0.5%
38 1
0.5%
37 1
0.5%
36 1
0.5%
34 2
1.0%

4.52
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.718593
Minimum2
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:12.740560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q315
95-th percentile40
Maximum128
Range126
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.454436
Coefficient of variation (CV)1.1265322
Kurtosis20.264675
Mean13.718593
Median Absolute Deviation (MAD)4
Skewness3.9126307
Sum2730
Variance238.8396
MonotonicityNot monotonic
2023-12-10T15:28:12.941833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 22
 
11.1%
9 19
 
9.5%
5 18
 
9.0%
8 16
 
8.0%
10 11
 
5.5%
7 10
 
5.0%
4 10
 
5.0%
11 9
 
4.5%
3 9
 
4.5%
12 7
 
3.5%
Other values (29) 68
34.2%
ValueCountFrequency (%)
2 5
 
2.5%
3 9
4.5%
4 10
5.0%
5 18
9.0%
6 22
11.1%
7 10
5.0%
8 16
8.0%
9 19
9.5%
10 11
5.5%
11 9
4.5%
ValueCountFrequency (%)
128 1
 
0.5%
84 1
 
0.5%
83 1
 
0.5%
82 1
 
0.5%
65 1
 
0.5%
59 1
 
0.5%
42 3
1.5%
40 2
1.0%
36 1
 
0.5%
34 1
 
0.5%

4.53
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.502513
Minimum2
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:13.139100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q315
95-th percentile39.4
Maximum118
Range116
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.339724
Coefficient of variation (CV)0.9879438
Kurtosis21.194388
Mean13.502513
Median Absolute Deviation (MAD)4
Skewness3.7778897
Sum2687
Variance177.94823
MonotonicityNot monotonic
2023-12-10T15:28:13.379668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7 19
 
9.5%
6 16
 
8.0%
5 14
 
7.0%
14 13
 
6.5%
9 12
 
6.0%
10 12
 
6.0%
8 11
 
5.5%
11 11
 
5.5%
12 9
 
4.5%
3 9
 
4.5%
Other values (32) 73
36.7%
ValueCountFrequency (%)
2 6
 
3.0%
3 9
4.5%
4 7
 
3.5%
5 14
7.0%
6 16
8.0%
7 19
9.5%
8 11
5.5%
9 12
6.0%
10 12
6.0%
11 11
5.5%
ValueCountFrequency (%)
118 1
0.5%
70 1
0.5%
62 1
0.5%
55 1
0.5%
50 1
0.5%
49 1
0.5%
47 1
0.5%
46 1
0.5%
45 1
0.5%
43 1
0.5%

7.13
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.502513
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:13.578914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median14
Q323
95-th percentile56.3
Maximum108
Range107
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.046246
Coefficient of variation (CV)0.92129356
Kurtosis6.0761614
Mean18.502513
Median Absolute Deviation (MAD)8
Skewness2.1447648
Sum3682
Variance290.57449
MonotonicityNot monotonic
2023-12-10T15:28:13.788287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 12
 
6.0%
2 11
 
5.5%
9 9
 
4.5%
11 9
 
4.5%
10 8
 
4.0%
20 8
 
4.0%
7 7
 
3.5%
5 7
 
3.5%
12 7
 
3.5%
23 7
 
3.5%
Other values (44) 114
57.3%
ValueCountFrequency (%)
1 6
3.0%
2 11
5.5%
3 12
6.0%
4 6
3.0%
5 7
3.5%
6 2
 
1.0%
7 7
3.5%
8 5
2.5%
9 9
4.5%
10 8
4.0%
ValueCountFrequency (%)
108 1
0.5%
89 1
0.5%
78 1
0.5%
74 1
0.5%
71 1
0.5%
68 1
0.5%
63 1
0.5%
61 1
0.5%
60 1
0.5%
59 1
0.5%

9.6
Real number (ℝ)

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.090452
Minimum7
Maximum249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:14.054241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10.9
Q117
median30
Q345
95-th percentile95.7
Maximum249
Range242
Interquartile range (IQR)28

Descriptive statistics

Standard deviation30.961884
Coefficient of variation (CV)0.83476695
Kurtosis14.090912
Mean37.090452
Median Absolute Deviation (MAD)13
Skewness3.0322083
Sum7381
Variance958.63824
MonotonicityNot monotonic
2023-12-10T15:28:14.307036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 11
 
5.5%
31 10
 
5.0%
22 8
 
4.0%
24 8
 
4.0%
30 7
 
3.5%
12 6
 
3.0%
15 6
 
3.0%
17 6
 
3.0%
16 5
 
2.5%
45 5
 
2.5%
Other values (65) 127
63.8%
ValueCountFrequency (%)
7 3
 
1.5%
8 1
 
0.5%
9 2
 
1.0%
10 4
 
2.0%
11 4
 
2.0%
12 6
3.0%
13 3
 
1.5%
14 11
5.5%
15 6
3.0%
16 5
2.5%
ValueCountFrequency (%)
249 1
0.5%
194 1
0.5%
143 1
0.5%
127 1
0.5%
110 1
0.5%
107 1
0.5%
105 2
1.0%
104 1
0.5%
102 1
0.5%
95 2
1.0%

10.9
Real number (ℝ)

Distinct78
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.19598
Minimum7
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:14.522043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile11.9
Q118
median31
Q350.5
95-th percentile111.3
Maximum377
Range370
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation41.870975
Coefficient of variation (CV)0.99229773
Kurtosis24.651884
Mean42.19598
Median Absolute Deviation (MAD)15
Skewness4.0557778
Sum8397
Variance1753.1786
MonotonicityNot monotonic
2023-12-10T15:28:14.753502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 9
 
4.5%
31 8
 
4.0%
12 8
 
4.0%
25 7
 
3.5%
17 7
 
3.5%
16 6
 
3.0%
22 5
 
2.5%
13 5
 
2.5%
33 5
 
2.5%
24 5
 
2.5%
Other values (68) 134
67.3%
ValueCountFrequency (%)
7 2
 
1.0%
8 2
 
1.0%
9 1
 
0.5%
10 2
 
1.0%
11 3
 
1.5%
12 8
4.0%
13 5
2.5%
14 4
2.0%
15 9
4.5%
16 6
3.0%
ValueCountFrequency (%)
377 1
0.5%
270 1
0.5%
176 1
0.5%
168 1
0.5%
151 1
0.5%
141 1
0.5%
120 1
0.5%
115 1
0.5%
114 2
1.0%
111 2
1.0%

0.32
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
190 
1
 
5
3
 
2
2
 
1
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 190
95.5%
1 5
 
2.5%
3 2
 
1.0%
2 1
 
0.5%
4 1
 
0.5%

Length

2023-12-10T15:28:14.956399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:15.108270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 190
95.5%
1 5
 
2.5%
3 2
 
1.0%
2 1
 
0.5%
4 1
 
0.5%

1.2
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6582915
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:15.276175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile17
Maximum25
Range24
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.052634
Coefficient of variation (CV)0.75884843
Kurtosis1.8741394
Mean6.6582915
Median Absolute Deviation (MAD)2
Skewness1.4657845
Sum1325
Variance25.52911
MonotonicityNot monotonic
2023-12-10T15:28:15.493568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 32
16.1%
2 27
13.6%
4 26
13.1%
5 20
10.1%
6 16
8.0%
9 13
6.5%
10 12
 
6.0%
7 9
 
4.5%
1 6
 
3.0%
13 6
 
3.0%
Other values (13) 32
16.1%
ValueCountFrequency (%)
1 6
 
3.0%
2 27
13.6%
3 32
16.1%
4 26
13.1%
5 20
10.1%
6 16
8.0%
7 9
 
4.5%
8 5
 
2.5%
9 13
6.5%
10 12
 
6.0%
ValueCountFrequency (%)
25 2
1.0%
23 1
 
0.5%
21 2
1.0%
20 2
1.0%
19 1
 
0.5%
18 1
 
0.5%
17 4
2.0%
16 3
1.5%
15 3
1.5%
14 2
1.0%

2.74
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9246231
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:15.708517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile18
Maximum24
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0810946
Coefficient of variation (CV)0.733772
Kurtosis1.1552078
Mean6.9246231
Median Absolute Deviation (MAD)2
Skewness1.3172806
Sum1378
Variance25.817522
MonotonicityNot monotonic
2023-12-10T15:28:15.914645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
2 29
14.6%
3 24
12.1%
4 24
12.1%
5 24
12.1%
6 17
8.5%
8 13
 
6.5%
7 11
 
5.5%
10 9
 
4.5%
13 7
 
3.5%
12 5
 
2.5%
Other values (13) 36
18.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 29
14.6%
3 24
12.1%
4 24
12.1%
5 24
12.1%
6 17
8.5%
7 11
 
5.5%
8 13
6.5%
9 5
 
2.5%
10 9
 
4.5%
ValueCountFrequency (%)
24 1
 
0.5%
23 1
 
0.5%
22 2
1.0%
20 2
1.0%
19 3
1.5%
18 3
1.5%
17 3
1.5%
16 3
1.5%
15 4
2.0%
14 1
 
0.5%

2.75
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2562814
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:16.101942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q310
95-th percentile20.2
Maximum102
Range101
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.261709
Coefficient of variation (CV)1.2428972
Kurtosis46.254153
Mean8.2562814
Median Absolute Deviation (MAD)2
Skewness5.8892271
Sum1643
Variance105.30267
MonotonicityNot monotonic
2023-12-10T15:28:16.735663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 30
15.1%
4 29
14.6%
5 19
9.5%
2 17
8.5%
7 16
 
8.0%
6 12
 
6.0%
8 10
 
5.0%
9 10
 
5.0%
11 8
 
4.0%
10 7
 
3.5%
Other values (18) 41
20.6%
ValueCountFrequency (%)
1 5
 
2.5%
2 17
8.5%
3 30
15.1%
4 29
14.6%
5 19
9.5%
6 12
 
6.0%
7 16
8.0%
8 10
 
5.0%
9 10
 
5.0%
10 7
 
3.5%
ValueCountFrequency (%)
102 1
 
0.5%
80 1
 
0.5%
32 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
23 1
 
0.5%
22 2
 
1.0%
20 5
2.5%

2.76
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1909548
Minimum1
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:16.918591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q38
95-th percentile18.1
Maximum101
Range100
Interquartile range (IQR)5

Descriptive statistics

Standard deviation9.1045398
Coefficient of variation (CV)1.26611
Kurtosis63.93093
Mean7.1909548
Median Absolute Deviation (MAD)2
Skewness7.00546
Sum1431
Variance82.892645
MonotonicityNot monotonic
2023-12-10T15:28:17.090221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 32
16.1%
6 29
14.6%
4 26
13.1%
2 21
10.6%
5 19
9.5%
8 14
7.0%
7 11
 
5.5%
9 10
 
5.0%
11 6
 
3.0%
13 5
 
2.5%
Other values (15) 26
13.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 21
10.6%
3 32
16.1%
4 26
13.1%
5 19
9.5%
6 29
14.6%
7 11
 
5.5%
8 14
7.0%
9 10
 
5.0%
10 3
 
1.5%
ValueCountFrequency (%)
101 1
 
0.5%
64 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
22 1
 
0.5%
21 3
1.5%
20 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
16 4
2.0%

3.56
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8241206
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:17.273631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile21.1
Maximum40
Range39
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.0880925
Coefficient of variation (CV)0.77811843
Kurtosis6.6909863
Mean7.8241206
Median Absolute Deviation (MAD)2
Skewness2.2999579
Sum1557
Variance37.06487
MonotonicityNot monotonic
2023-12-10T15:28:17.487459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5 23
11.6%
4 22
11.1%
6 20
10.1%
3 18
9.0%
7 18
9.0%
2 17
8.5%
8 17
8.5%
9 15
7.5%
12 11
 
5.5%
10 8
 
4.0%
Other values (17) 30
15.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 17
8.5%
3 18
9.0%
4 22
11.1%
5 23
11.6%
6 20
10.1%
7 18
9.0%
8 17
8.5%
9 15
7.5%
10 8
 
4.0%
ValueCountFrequency (%)
40 1
0.5%
33 1
0.5%
30 1
0.5%
29 1
0.5%
27 2
1.0%
24 1
0.5%
23 2
1.0%
22 1
0.5%
21 1
0.5%
20 2
1.0%

2.77
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6030151
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:17.751962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q310.5
95-th percentile23.1
Maximum79
Range78
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation9.834396
Coefficient of variation (CV)1.1431336
Kurtosis20.161959
Mean8.6030151
Median Absolute Deviation (MAD)3
Skewness3.7819165
Sum1712
Variance96.715344
MonotonicityNot monotonic
2023-12-10T15:28:17.972093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 33
16.6%
4 27
13.6%
2 24
12.1%
5 17
 
8.5%
6 15
 
7.5%
9 10
 
5.0%
7 7
 
3.5%
8 7
 
3.5%
12 6
 
3.0%
11 5
 
2.5%
Other values (23) 48
24.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 24
12.1%
3 33
16.6%
4 27
13.6%
5 17
8.5%
6 15
7.5%
7 7
 
3.5%
8 7
 
3.5%
9 10
 
5.0%
10 5
 
2.5%
ValueCountFrequency (%)
79 1
0.5%
68 1
0.5%
48 1
0.5%
39 1
0.5%
33 1
0.5%
31 1
0.5%
28 1
0.5%
27 1
0.5%
25 1
0.5%
24 1
0.5%

1.3
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3165829
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:18.175764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q39
95-th percentile21
Maximum36
Range35
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.6761506
Coefficient of variation (CV)0.91246838
Kurtosis3.8682234
Mean7.3165829
Median Absolute Deviation (MAD)3
Skewness1.9277599
Sum1456
Variance44.570986
MonotonicityNot monotonic
2023-12-10T15:28:18.361214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 34
17.1%
3 33
16.6%
4 23
11.6%
5 14
 
7.0%
6 14
 
7.0%
7 11
 
5.5%
8 10
 
5.0%
9 9
 
4.5%
13 7
 
3.5%
11 7
 
3.5%
Other values (19) 37
18.6%
ValueCountFrequency (%)
1 5
 
2.5%
2 34
17.1%
3 33
16.6%
4 23
11.6%
5 14
7.0%
6 14
7.0%
7 11
 
5.5%
8 10
 
5.0%
9 9
 
4.5%
10 1
 
0.5%
ValueCountFrequency (%)
36 1
0.5%
32 1
0.5%
31 1
0.5%
30 1
0.5%
29 2
1.0%
26 1
0.5%
25 1
0.5%
22 1
0.5%
21 2
1.0%
20 2
1.0%

2.78
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0954774
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:18.575287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median5
Q310
95-th percentile27.1
Maximum182
Range181
Interquartile range (IQR)7

Descriptive statistics

Standard deviation16.161306
Coefficient of variation (CV)1.7768508
Kurtosis76.511012
Mean9.0954774
Median Absolute Deviation (MAD)2
Skewness7.968188
Sum1810
Variance261.18781
MonotonicityNot monotonic
2023-12-10T15:28:18.786253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 34
17.1%
4 24
12.1%
5 21
10.6%
2 21
10.6%
8 13
 
6.5%
6 12
 
6.0%
7 11
 
5.5%
10 6
 
3.0%
12 6
 
3.0%
11 6
 
3.0%
Other values (21) 45
22.6%
ValueCountFrequency (%)
1 5
 
2.5%
2 21
10.6%
3 34
17.1%
4 24
12.1%
5 21
10.6%
6 12
 
6.0%
7 11
 
5.5%
8 13
 
6.5%
9 6
 
3.0%
10 6
 
3.0%
ValueCountFrequency (%)
182 1
0.5%
119 1
0.5%
38 1
0.5%
37 1
0.5%
33 1
0.5%
32 1
0.5%
30 1
0.5%
29 1
0.5%
28 2
1.0%
27 1
0.5%

2.79
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8241206
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:18.977673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q39
95-th percentile20
Maximum113
Range112
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.9799911
Coefficient of variation (CV)1.2755416
Kurtosis67.927344
Mean7.8241206
Median Absolute Deviation (MAD)3
Skewness7.1867151
Sum1557
Variance99.600223
MonotonicityNot monotonic
2023-12-10T15:28:19.152456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 29
14.6%
5 24
12.1%
4 23
11.6%
6 20
10.1%
2 20
10.1%
7 17
8.5%
8 13
6.5%
10 9
 
4.5%
11 7
 
3.5%
9 6
 
3.0%
Other values (17) 31
15.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 20
10.1%
3 29
14.6%
4 23
11.6%
5 24
12.1%
6 20
10.1%
7 17
8.5%
8 13
6.5%
9 6
 
3.0%
10 9
 
4.5%
ValueCountFrequency (%)
113 1
0.5%
67 1
0.5%
28 1
0.5%
25 1
0.5%
23 1
0.5%
22 2
1.0%
21 2
1.0%
20 2
1.0%
19 1
0.5%
18 2
1.0%

3.57
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4874372
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:19.364913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile27
Maximum49
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.4724134
Coefficient of variation (CV)0.78761137
Kurtosis6.40235
Mean9.4874372
Median Absolute Deviation (MAD)3
Skewness2.2403421
Sum1888
Variance55.836963
MonotonicityNot monotonic
2023-12-10T15:28:19.583274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4 22
11.1%
5 20
10.1%
7 18
 
9.0%
9 16
 
8.0%
10 14
 
7.0%
6 14
 
7.0%
8 13
 
6.5%
2 13
 
6.5%
11 12
 
6.0%
3 9
 
4.5%
Other values (22) 48
24.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 13
6.5%
3 9
4.5%
4 22
11.1%
5 20
10.1%
6 14
7.0%
7 18
9.0%
8 13
6.5%
9 16
8.0%
10 14
7.0%
ValueCountFrequency (%)
49 1
 
0.5%
41 1
 
0.5%
36 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
29 1
 
0.5%
28 1
 
0.5%
27 3
1.5%
26 1
 
0.5%

0.33
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
193 
2
 
3
1
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 193
97.0%
2 3
 
1.5%
1 2
 
1.0%
3 1
 
0.5%

Length

2023-12-10T15:28:19.779900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:19.955757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 193
97.0%
2 3
 
1.5%
1 2
 
1.0%
3 1
 
0.5%

11.5
Real number (ℝ)

Distinct102
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.321608
Minimum8
Maximum627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:20.184584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile13.9
Q124.5
median39
Q376.5
95-th percentile165.4
Maximum627
Range619
Interquartile range (IQR)52

Descriptive statistics

Standard deviation69.975299
Coefficient of variation (CV)1.1050777
Kurtosis24.278556
Mean63.321608
Median Absolute Deviation (MAD)19
Skewness3.9700835
Sum12601
Variance4896.5425
MonotonicityNot monotonic
2023-12-10T15:28:20.412728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 7
 
3.5%
21 6
 
3.0%
17 6
 
3.0%
27 6
 
3.0%
37 6
 
3.0%
30 6
 
3.0%
19 5
 
2.5%
18 5
 
2.5%
29 4
 
2.0%
35 4
 
2.0%
Other values (92) 144
72.4%
ValueCountFrequency (%)
8 1
 
0.5%
9 2
 
1.0%
10 1
 
0.5%
11 2
 
1.0%
12 1
 
0.5%
13 3
1.5%
14 3
1.5%
15 4
2.0%
16 2
 
1.0%
17 6
3.0%
ValueCountFrequency (%)
627 1
0.5%
416 1
0.5%
327 1
0.5%
266 1
0.5%
230 1
0.5%
186 2
1.0%
177 2
1.0%
169 1
0.5%
165 1
0.5%
160 1
0.5%

12.7
Real number (ℝ)

Distinct104
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.577889
Minimum9
Maximum940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:20.633241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14.9
Q125
median41
Q381
95-th percentile234.4
Maximum940
Range931
Interquartile range (IQR)56

Descriptive statistics

Standard deviation105.36595
Coefficient of variation (CV)1.3759317
Kurtosis29.718074
Mean76.577889
Median Absolute Deviation (MAD)21
Skewness4.6499796
Sum15239
Variance11101.983
MonotonicityNot monotonic
2023-12-10T15:28:20.843635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 8
 
4.0%
31 7
 
3.5%
18 6
 
3.0%
38 6
 
3.0%
27 5
 
2.5%
15 5
 
2.5%
39 5
 
2.5%
21 5
 
2.5%
23 4
 
2.0%
47 4
 
2.0%
Other values (94) 144
72.4%
ValueCountFrequency (%)
9 2
 
1.0%
10 2
 
1.0%
11 1
 
0.5%
12 1
 
0.5%
13 2
 
1.0%
14 2
 
1.0%
15 5
2.5%
16 1
 
0.5%
17 2
 
1.0%
18 6
3.0%
ValueCountFrequency (%)
940 1
0.5%
721 1
0.5%
431 1
0.5%
415 1
0.5%
366 1
0.5%
316 1
0.5%
269 1
0.5%
268 1
0.5%
266 1
0.5%
238 1
0.5%

2.80
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.060302
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:21.044485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q314
95-th percentile49.1
Maximum74
Range73
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.848949
Coefficient of variation (CV)1.136953
Kurtosis3.6075475
Mean13.060302
Median Absolute Deviation (MAD)4
Skewness2.0184764
Sum2599
Variance220.49129
MonotonicityNot monotonic
2023-12-10T15:28:21.260657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
3 27
13.6%
5 21
 
10.6%
4 19
 
9.5%
6 18
 
9.0%
7 13
 
6.5%
2 11
 
5.5%
11 10
 
5.0%
8 9
 
4.5%
12 7
 
3.5%
9 5
 
2.5%
Other values (35) 59
29.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 11
5.5%
3 27
13.6%
4 19
9.5%
5 21
10.6%
6 18
9.0%
7 13
6.5%
8 9
 
4.5%
9 5
 
2.5%
10 3
 
1.5%
ValueCountFrequency (%)
74 1
0.5%
65 2
1.0%
61 2
1.0%
57 1
0.5%
56 1
0.5%
53 1
0.5%
50 2
1.0%
49 2
1.0%
47 1
0.5%
46 1
0.5%

2.81
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.879397
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:21.461887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q316
95-th percentile33
Maximum64
Range63
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.406428
Coefficient of variation (CV)0.96018575
Kurtosis4.5944276
Mean11.879397
Median Absolute Deviation (MAD)4
Skewness1.9730308
Sum2364
Variance130.10659
MonotonicityNot monotonic
2023-12-10T15:28:21.653661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4 22
 
11.1%
6 22
 
11.1%
3 20
 
10.1%
8 18
 
9.0%
5 16
 
8.0%
7 11
 
5.5%
2 10
 
5.0%
12 6
 
3.0%
10 6
 
3.0%
16 5
 
2.5%
Other values (31) 63
31.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 10
5.0%
3 20
10.1%
4 22
11.1%
5 16
8.0%
6 22
11.1%
7 11
5.5%
8 18
9.0%
9 2
 
1.0%
10 6
 
3.0%
ValueCountFrequency (%)
64 1
0.5%
62 1
0.5%
58 1
0.5%
47 1
0.5%
43 1
0.5%
41 1
0.5%
39 1
0.5%
35 1
0.5%
34 1
0.5%
33 2
1.0%

2.82
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.58794
Minimum1
Maximum251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:21.898745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median7
Q316
95-th percentile38
Maximum251
Range250
Interquartile range (IQR)12

Descriptive statistics

Standard deviation24.049214
Coefficient of variation (CV)1.6485682
Kurtosis55.100623
Mean14.58794
Median Absolute Deviation (MAD)4
Skewness6.5034281
Sum2903
Variance578.3647
MonotonicityNot monotonic
2023-12-10T15:28:22.159415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
3 24
 
12.1%
5 21
 
10.6%
4 18
 
9.0%
7 18
 
9.0%
9 12
 
6.0%
6 11
 
5.5%
11 9
 
4.5%
2 8
 
4.0%
8 6
 
3.0%
13 6
 
3.0%
Other values (34) 66
33.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 8
 
4.0%
3 24
12.1%
4 18
9.0%
5 21
10.6%
6 11
5.5%
7 18
9.0%
8 6
 
3.0%
9 12
6.0%
10 4
 
2.0%
ValueCountFrequency (%)
251 1
0.5%
168 1
0.5%
91 1
0.5%
70 1
0.5%
63 1
0.5%
58 1
0.5%
45 1
0.5%
44 1
0.5%
40 1
0.5%
38 2
1.0%

2.83
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.452261
Minimum2
Maximum226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:22.408675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q313.5
95-th percentile27.1
Maximum226
Range224
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation21.866133
Coefficient of variation (CV)1.7559969
Kurtosis66.780184
Mean12.452261
Median Absolute Deviation (MAD)3
Skewness7.5793278
Sum2478
Variance478.12776
MonotonicityNot monotonic
2023-12-10T15:28:22.632526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 28
14.1%
8 20
 
10.1%
7 16
 
8.0%
5 16
 
8.0%
3 15
 
7.5%
6 14
 
7.0%
2 11
 
5.5%
10 9
 
4.5%
11 9
 
4.5%
24 5
 
2.5%
Other values (26) 56
28.1%
ValueCountFrequency (%)
2 11
 
5.5%
3 15
7.5%
4 28
14.1%
5 16
8.0%
6 14
7.0%
7 16
8.0%
8 20
10.1%
9 5
 
2.5%
10 9
 
4.5%
11 9
 
4.5%
ValueCountFrequency (%)
226 1
0.5%
189 1
0.5%
68 1
0.5%
54 1
0.5%
43 1
0.5%
38 1
0.5%
33 1
0.5%
31 1
0.5%
30 1
0.5%
28 1
0.5%

3.58
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.145729
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:22.877076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q313
95-th percentile29
Maximum50
Range48
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.2390956
Coefficient of variation (CV)0.73921552
Kurtosis5.3465422
Mean11.145729
Median Absolute Deviation (MAD)3
Skewness2.1454256
Sum2218
Variance67.882696
MonotonicityNot monotonic
2023-12-10T15:28:23.079467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
9 19
 
9.5%
5 17
 
8.5%
10 16
 
8.0%
7 16
 
8.0%
8 15
 
7.5%
6 15
 
7.5%
4 12
 
6.0%
11 11
 
5.5%
3 11
 
5.5%
12 10
 
5.0%
Other values (23) 57
28.6%
ValueCountFrequency (%)
2 3
 
1.5%
3 11
5.5%
4 12
6.0%
5 17
8.5%
6 15
7.5%
7 16
8.0%
8 15
7.5%
9 19
9.5%
10 16
8.0%
11 11
5.5%
ValueCountFrequency (%)
50 1
0.5%
45 1
0.5%
41 1
0.5%
39 1
0.5%
37 2
1.0%
36 1
0.5%
33 2
1.0%
29 2
1.0%
28 1
0.5%
27 1
0.5%

2.84
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.864322
Minimum1
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:23.311252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median7
Q317
95-th percentile74.2
Maximum180
Range179
Interquartile range (IQR)13

Descriptive statistics

Standard deviation27.030971
Coefficient of variation (CV)1.5131261
Kurtosis11.624488
Mean17.864322
Median Absolute Deviation (MAD)4
Skewness3.1233044
Sum3555
Variance730.67342
MonotonicityNot monotonic
2023-12-10T15:28:23.595865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 25
 
12.6%
4 22
 
11.1%
5 20
 
10.1%
6 17
 
8.5%
8 13
 
6.5%
7 10
 
5.0%
2 9
 
4.5%
11 6
 
3.0%
12 5
 
2.5%
15 4
 
2.0%
Other values (45) 68
34.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 9
 
4.5%
3 25
12.6%
4 22
11.1%
5 20
10.1%
6 17
8.5%
7 10
 
5.0%
8 13
6.5%
9 4
 
2.0%
10 3
 
1.5%
ValueCountFrequency (%)
180 1
0.5%
156 1
0.5%
132 1
0.5%
108 1
0.5%
100 1
0.5%
96 1
0.5%
92 1
0.5%
86 1
0.5%
82 1
0.5%
76 1
0.5%

2.85
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.628141
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:23.871830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q317
95-th percentile37.1
Maximum90
Range89
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.530095
Coefficient of variation (CV)1.1506123
Kurtosis9.1234804
Mean12.628141
Median Absolute Deviation (MAD)4
Skewness2.6922007
Sum2513
Variance211.12365
MonotonicityNot monotonic
2023-12-10T15:28:24.053447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4 25
 
12.6%
3 23
 
11.6%
5 17
 
8.5%
6 16
 
8.0%
2 15
 
7.5%
7 10
 
5.0%
8 9
 
4.5%
11 6
 
3.0%
10 6
 
3.0%
17 5
 
2.5%
Other values (31) 67
33.7%
ValueCountFrequency (%)
1 3
 
1.5%
2 15
7.5%
3 23
11.6%
4 25
12.6%
5 17
8.5%
6 16
8.0%
7 10
 
5.0%
8 9
 
4.5%
9 3
 
1.5%
10 6
 
3.0%
ValueCountFrequency (%)
90 1
0.5%
85 1
0.5%
73 1
0.5%
72 1
0.5%
62 1
0.5%
56 1
0.5%
44 1
0.5%
40 1
0.5%
39 1
0.5%
38 1
0.5%

2.86
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.226131
Minimum1
Maximum442
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:24.268238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q316.5
95-th percentile52.2
Maximum442
Range441
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation44.977594
Coefficient of variation (CV)2.4677533
Kurtosis68.02718
Mean18.226131
Median Absolute Deviation (MAD)4
Skewness7.7831352
Sum3627
Variance2022.984
MonotonicityNot monotonic
2023-12-10T15:28:24.457743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
3 26
 
13.1%
4 21
 
10.6%
5 18
 
9.0%
6 14
 
7.0%
8 12
 
6.0%
2 10
 
5.0%
7 9
 
4.5%
10 9
 
4.5%
9 6
 
3.0%
15 6
 
3.0%
Other values (39) 68
34.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 10
 
5.0%
3 26
13.1%
4 21
10.6%
5 18
9.0%
6 14
7.0%
7 9
 
4.5%
8 12
6.0%
9 6
 
3.0%
10 9
 
4.5%
ValueCountFrequency (%)
442 1
0.5%
409 1
0.5%
129 1
0.5%
110 1
0.5%
105 1
0.5%
65 1
0.5%
62 1
0.5%
61 1
0.5%
56 1
0.5%
54 1
0.5%

0.34
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
181 
1
 
14
3
 
3
10
 
1

Length

Max length2
Median length1
Mean length1.0050251
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 181
91.0%
1 14
 
7.0%
3 3
 
1.5%
10 1
 
0.5%

Length

2023-12-10T15:28:25.128126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:25.278316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 181
91.0%
1 14
 
7.0%
3 3
 
1.5%
10 1
 
0.5%

2.87
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.442211
Minimum2
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:25.452003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q315
95-th percentile38
Maximum260
Range258
Interquartile range (IQR)10

Descriptive statistics

Standard deviation26.291594
Coefficient of variation (CV)1.8204687
Kurtosis60.989609
Mean14.442211
Median Absolute Deviation (MAD)4
Skewness7.2011413
Sum2874
Variance691.24791
MonotonicityNot monotonic
2023-12-10T15:28:25.666511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
8 22
 
11.1%
4 20
 
10.1%
5 19
 
9.5%
3 17
 
8.5%
6 17
 
8.5%
7 13
 
6.5%
10 11
 
5.5%
9 7
 
3.5%
2 6
 
3.0%
22 5
 
2.5%
Other values (30) 62
31.2%
ValueCountFrequency (%)
2 6
 
3.0%
3 17
8.5%
4 20
10.1%
5 19
9.5%
6 17
8.5%
7 13
6.5%
8 22
11.1%
9 7
 
3.5%
10 11
5.5%
11 5
 
2.5%
ValueCountFrequency (%)
260 1
 
0.5%
231 1
 
0.5%
85 1
 
0.5%
66 1
 
0.5%
61 1
 
0.5%
48 1
 
0.5%
41 2
1.0%
39 1
 
0.5%
38 2
1.0%
35 3
1.5%

4.54
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.613065
Minimum3
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:25.963477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q316
95-th percentile35.3
Maximum61
Range58
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.475369
Coefficient of variation (CV)0.76950849
Kurtosis5.6961226
Mean13.613065
Median Absolute Deviation (MAD)4
Skewness2.195734
Sum2709
Variance109.73336
MonotonicityNot monotonic
2023-12-10T15:28:26.165545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
12 16
 
8.0%
7 16
 
8.0%
9 15
 
7.5%
6 13
 
6.5%
5 13
 
6.5%
11 12
 
6.0%
8 12
 
6.0%
4 11
 
5.5%
13 10
 
5.0%
14 10
 
5.0%
Other values (28) 71
35.7%
ValueCountFrequency (%)
3 6
 
3.0%
4 11
5.5%
5 13
6.5%
6 13
6.5%
7 16
8.0%
8 12
6.0%
9 15
7.5%
10 7
3.5%
11 12
6.0%
12 16
8.0%
ValueCountFrequency (%)
61 2
1.0%
56 1
 
0.5%
51 1
 
0.5%
44 1
 
0.5%
42 2
1.0%
40 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
35 1
 
0.5%
34 3
1.5%

31
Real number (ℝ)

Distinct133
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.9397
Minimum23
Maximum485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:26.370392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile34
Q156
median88
Q3138.5
95-th percentile291.4
Maximum485
Range462
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation81.142202
Coefficient of variation (CV)0.72487422
Kurtosis4.4114248
Mean111.9397
Median Absolute Deviation (MAD)37
Skewness1.9473836
Sum22276
Variance6584.057
MonotonicityNot monotonic
2023-12-10T15:28:26.618227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 5
 
2.5%
47 4
 
2.0%
51 4
 
2.0%
56 4
 
2.0%
59 4
 
2.0%
50 4
 
2.0%
105 4
 
2.0%
80 4
 
2.0%
70 3
 
1.5%
41 3
 
1.5%
Other values (123) 160
80.4%
ValueCountFrequency (%)
23 2
1.0%
26 1
0.5%
27 1
0.5%
28 1
0.5%
29 1
0.5%
31 2
1.0%
33 1
0.5%
34 2
1.0%
35 2
1.0%
36 2
1.0%
ValueCountFrequency (%)
485 1
0.5%
429 1
0.5%
373 1
0.5%
362 2
1.0%
357 1
0.5%
355 1
0.5%
354 1
0.5%
348 1
0.5%
295 1
0.5%
291 1
0.5%

33.3
Real number (ℝ)

Distinct134
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.21106
Minimum24
Maximum668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:26.850648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile37.9
Q159.5
median99
Q3153.5
95-th percentile323.8
Maximum668
Range644
Interquartile range (IQR)94

Descriptive statistics

Standard deviation98.811757
Coefficient of variation (CV)0.7891616
Kurtosis7.001654
Mean125.21106
Median Absolute Deviation (MAD)42
Skewness2.2855014
Sum24917
Variance9763.7633
MonotonicityNot monotonic
2023-12-10T15:28:27.085960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 5
 
2.5%
75 4
 
2.0%
84 4
 
2.0%
59 4
 
2.0%
42 4
 
2.0%
51 3
 
1.5%
62 3
 
1.5%
53 3
 
1.5%
49 3
 
1.5%
100 3
 
1.5%
Other values (124) 163
81.9%
ValueCountFrequency (%)
24 1
0.5%
25 1
0.5%
26 1
0.5%
28 2
1.0%
29 1
0.5%
32 1
0.5%
33 1
0.5%
36 1
0.5%
37 1
0.5%
38 2
1.0%
ValueCountFrequency (%)
668 1
0.5%
571 1
0.5%
480 1
0.5%
407 1
0.5%
389 1
0.5%
388 1
0.5%
386 1
0.5%
385 1
0.5%
375 1
0.5%
358 1
0.5%

5.20
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.929648
Minimum4
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:27.325200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median16
Q329
95-th percentile56.1
Maximum86
Range82
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.395216
Coefficient of variation (CV)0.74762786
Kurtosis2.5140734
Mean21.929648
Median Absolute Deviation (MAD)7
Skewness1.6054065
Sum4364
Variance268.80311
MonotonicityNot monotonic
2023-12-10T15:28:27.566824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 12
 
6.0%
7 11
 
5.5%
16 11
 
5.5%
14 10
 
5.0%
8 9
 
4.5%
10 8
 
4.0%
12 8
 
4.0%
11 7
 
3.5%
15 7
 
3.5%
20 6
 
3.0%
Other values (41) 110
55.3%
ValueCountFrequency (%)
4 3
 
1.5%
5 4
 
2.0%
6 6
3.0%
7 11
5.5%
8 9
4.5%
9 12
6.0%
10 8
4.0%
11 7
3.5%
12 8
4.0%
13 6
3.0%
ValueCountFrequency (%)
86 1
 
0.5%
80 2
 
1.0%
72 1
 
0.5%
69 2
 
1.0%
63 1
 
0.5%
59 1
 
0.5%
58 1
 
0.5%
57 1
 
0.5%
56 5
2.5%
52 1
 
0.5%

5.21
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.914573
Minimum4
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:27.791908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median17
Q326
95-th percentile53.2
Maximum82
Range78
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.924989
Coefficient of variation (CV)0.71361672
Kurtosis2.5764421
Mean20.914573
Median Absolute Deviation (MAD)7
Skewness1.5884574
Sum4162
Variance222.75529
MonotonicityNot monotonic
2023-12-10T15:28:28.031504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 11
 
5.5%
16 10
 
5.0%
9 9
 
4.5%
12 9
 
4.5%
6 9
 
4.5%
11 9
 
4.5%
13 9
 
4.5%
10 8
 
4.0%
17 8
 
4.0%
7 8
 
4.0%
Other values (42) 109
54.8%
ValueCountFrequency (%)
4 3
 
1.5%
5 3
 
1.5%
6 9
4.5%
7 8
4.0%
8 11
5.5%
9 9
4.5%
10 8
4.0%
11 9
4.5%
12 9
4.5%
13 9
4.5%
ValueCountFrequency (%)
82 1
0.5%
75 1
0.5%
74 1
0.5%
64 1
0.5%
60 2
1.0%
59 1
0.5%
58 1
0.5%
55 2
1.0%
53 1
0.5%
51 1
0.5%

6.31
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.728643
Minimum4
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:28.294206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q111
median18
Q328.5
95-th percentile55.5
Maximum137
Range133
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation19.349177
Coefficient of variation (CV)0.85131244
Kurtosis9.5024503
Mean22.728643
Median Absolute Deviation (MAD)8
Skewness2.6523337
Sum4523
Variance374.39064
MonotonicityNot monotonic
2023-12-10T15:28:28.551092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
18 13
 
6.5%
14 10
 
5.0%
11 10
 
5.0%
10 9
 
4.5%
13 8
 
4.0%
12 8
 
4.0%
8 7
 
3.5%
6 7
 
3.5%
19 7
 
3.5%
Other values (46) 106
53.3%
ValueCountFrequency (%)
4 3
 
1.5%
5 2
 
1.0%
6 7
3.5%
7 7
3.5%
8 7
3.5%
9 14
7.0%
10 9
4.5%
11 10
5.0%
12 8
4.0%
13 8
4.0%
ValueCountFrequency (%)
137 1
0.5%
109 1
0.5%
98 1
0.5%
97 1
0.5%
89 1
0.5%
75 1
0.5%
67 1
0.5%
66 1
0.5%
64 1
0.5%
60 1
0.5%

6.32
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.949749
Minimum4
Maximum169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:28.777222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110.5
median16
Q323
95-th percentile56.6
Maximum169
Range165
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation19.199313
Coefficient of variation (CV)0.91644598
Kurtosis19.848061
Mean20.949749
Median Absolute Deviation (MAD)6
Skewness3.6421983
Sum4169
Variance368.61362
MonotonicityNot monotonic
2023-12-10T15:28:29.004601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11 15
 
7.5%
21 11
 
5.5%
12 11
 
5.5%
15 10
 
5.0%
8 10
 
5.0%
9 10
 
5.0%
14 8
 
4.0%
6 8
 
4.0%
22 8
 
4.0%
10 8
 
4.0%
Other values (39) 100
50.3%
ValueCountFrequency (%)
4 3
 
1.5%
5 4
 
2.0%
6 8
4.0%
7 7
3.5%
8 10
5.0%
9 10
5.0%
10 8
4.0%
11 15
7.5%
12 11
5.5%
13 5
 
2.5%
ValueCountFrequency (%)
169 1
0.5%
98 1
0.5%
91 1
0.5%
85 1
0.5%
75 1
0.5%
71 2
1.0%
66 2
1.0%
62 1
0.5%
56 1
0.5%
54 1
0.5%

9.7
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.723618
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:29.225985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q111
median19
Q330
95-th percentile72.2
Maximum137
Range136
Interquartile range (IQR)19

Descriptive statistics

Standard deviation21.369973
Coefficient of variation (CV)0.86435461
Kurtosis6.479178
Mean24.723618
Median Absolute Deviation (MAD)10
Skewness2.2552564
Sum4920
Variance456.67575
MonotonicityNot monotonic
2023-12-10T15:28:29.443812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 10
 
5.0%
7 10
 
5.0%
16 10
 
5.0%
13 8
 
4.0%
4 8
 
4.0%
10 7
 
3.5%
24 7
 
3.5%
30 6
 
3.0%
14 6
 
3.0%
27 6
 
3.0%
Other values (49) 121
60.8%
ValueCountFrequency (%)
1 1
 
0.5%
3 4
 
2.0%
4 8
4.0%
5 5
2.5%
6 3
 
1.5%
7 10
5.0%
8 5
2.5%
9 5
2.5%
10 7
3.5%
11 3
 
1.5%
ValueCountFrequency (%)
137 1
0.5%
112 1
0.5%
102 1
0.5%
100 1
0.5%
92 1
0.5%
91 1
0.5%
80 2
1.0%
77 1
0.5%
74 1
0.5%
72 1
0.5%

5.22
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.854271
Minimum4
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:29.660972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.9
Q111
median17
Q332.5
95-th percentile72.9
Maximum153
Range149
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation23.899281
Coefficient of variation (CV)0.92438424
Kurtosis7.6598222
Mean25.854271
Median Absolute Deviation (MAD)8
Skewness2.4861137
Sum5145
Variance571.17563
MonotonicityNot monotonic
2023-12-10T15:28:29.864163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 12
 
6.0%
12 11
 
5.5%
14 11
 
5.5%
9 10
 
5.0%
8 9
 
4.5%
7 8
 
4.0%
16 8
 
4.0%
22 7
 
3.5%
15 7
 
3.5%
11 6
 
3.0%
Other values (51) 110
55.3%
ValueCountFrequency (%)
4 1
 
0.5%
5 4
 
2.0%
6 5
2.5%
7 8
4.0%
8 9
4.5%
9 10
5.0%
10 12
6.0%
11 6
3.0%
12 11
5.5%
13 5
2.5%
ValueCountFrequency (%)
153 1
0.5%
134 1
0.5%
114 1
0.5%
113 2
1.0%
95 1
0.5%
90 1
0.5%
86 1
0.5%
82 1
0.5%
81 1
0.5%
72 1
0.5%

0.35
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.22613065
Minimum0
Maximum12
Zeros177
Zeros (%)88.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:30.051660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0750244
Coefficient of variation (CV)4.7539966
Kurtosis79.031049
Mean0.22613065
Median Absolute Deviation (MAD)0
Skewness8.1860742
Sum45
Variance1.1556774
MonotonicityNot monotonic
2023-12-10T15:28:30.229199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 177
88.9%
1 18
 
9.0%
12 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
ValueCountFrequency (%)
0 177
88.9%
1 18
 
9.0%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
6 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
1 18
 
9.0%
0 177
88.9%

5.23
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.165829
Minimum3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:30.418659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q327
95-th percentile56.1
Maximum100
Range97
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.247094
Coefficient of variation (CV)0.81485559
Kurtosis4.1068665
Mean21.165829
Median Absolute Deviation (MAD)7
Skewness1.8608428
Sum4212
Variance297.46226
MonotonicityNot monotonic
2023-12-10T15:28:30.643491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
11 14
 
7.0%
14 11
 
5.5%
9 11
 
5.5%
15 10
 
5.0%
12 9
 
4.5%
8 8
 
4.0%
6 7
 
3.5%
5 6
 
3.0%
10 6
 
3.0%
Other values (46) 103
51.8%
ValueCountFrequency (%)
3 2
 
1.0%
4 3
 
1.5%
5 6
3.0%
6 7
3.5%
7 14
7.0%
8 8
4.0%
9 11
5.5%
10 6
3.0%
11 14
7.0%
12 9
4.5%
ValueCountFrequency (%)
100 1
0.5%
99 1
0.5%
75 1
0.5%
70 1
0.5%
69 1
0.5%
67 1
0.5%
65 1
0.5%
61 1
0.5%
59 1
0.5%
57 1
0.5%

6.33
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.557789
Minimum4
Maximum389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:30.865599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median16
Q330
95-th percentile64.1
Maximum389
Range385
Interquartile range (IQR)20

Descriptive statistics

Standard deviation34.729044
Coefficient of variation (CV)1.3588438
Kurtosis62.917029
Mean25.557789
Median Absolute Deviation (MAD)7
Skewness6.7720959
Sum5086
Variance1206.1065
MonotonicityNot monotonic
2023-12-10T15:28:31.174298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 14
 
7.0%
9 14
 
7.0%
12 10
 
5.0%
14 10
 
5.0%
11 8
 
4.0%
13 8
 
4.0%
16 7
 
3.5%
17 7
 
3.5%
18 7
 
3.5%
7 7
 
3.5%
Other values (46) 107
53.8%
ValueCountFrequency (%)
4 3
 
1.5%
5 3
 
1.5%
6 5
 
2.5%
7 7
3.5%
8 14
7.0%
9 14
7.0%
10 6
3.0%
11 8
4.0%
12 10
5.0%
13 8
4.0%
ValueCountFrequency (%)
389 1
0.5%
185 1
0.5%
130 1
0.5%
127 1
0.5%
102 1
0.5%
100 1
0.5%
92 1
0.5%
74 1
0.5%
67 1
0.5%
65 1
0.5%

7.14
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.201005
Minimum4
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:31.415839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6.9
Q111
median18
Q326
95-th percentile62.5
Maximum213
Range209
Interquartile range (IQR)15

Descriptive statistics

Standard deviation21.961854
Coefficient of variation (CV)0.94659063
Kurtosis29.561454
Mean23.201005
Median Absolute Deviation (MAD)7
Skewness4.3578615
Sum4617
Variance482.32303
MonotonicityNot monotonic
2023-12-10T15:28:31.647427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
22 12
 
6.0%
9 10
 
5.0%
10 10
 
5.0%
13 9
 
4.5%
18 8
 
4.0%
19 8
 
4.0%
14 8
 
4.0%
15 7
 
3.5%
17 7
 
3.5%
Other values (44) 106
53.3%
ValueCountFrequency (%)
4 1
 
0.5%
5 5
 
2.5%
6 4
 
2.0%
7 7
3.5%
8 4
 
2.0%
9 10
5.0%
10 10
5.0%
11 14
7.0%
12 5
 
2.5%
13 9
4.5%
ValueCountFrequency (%)
213 1
0.5%
113 1
0.5%
97 1
0.5%
86 1
0.5%
77 1
0.5%
76 1
0.5%
73 1
0.5%
71 1
0.5%
70 1
0.5%
67 1
0.5%

11.6
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.060302
Minimum2
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:31.874100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q113.5
median24
Q336
95-th percentile87.5
Maximum168
Range166
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation25.66935
Coefficient of variation (CV)0.85392857
Kurtosis6.7727319
Mean30.060302
Median Absolute Deviation (MAD)12
Skewness2.2831888
Sum5982
Variance658.91554
MonotonicityNot monotonic
2023-12-10T15:28:32.079317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 8
 
4.0%
18 8
 
4.0%
24 7
 
3.5%
17 7
 
3.5%
15 6
 
3.0%
8 6
 
3.0%
12 6
 
3.0%
36 6
 
3.0%
11 6
 
3.0%
19 5
 
2.5%
Other values (61) 134
67.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 5
2.5%
5 1
 
0.5%
6 5
2.5%
7 4
2.0%
8 6
3.0%
9 3
 
1.5%
10 8
4.0%
11 6
3.0%
ValueCountFrequency (%)
168 1
0.5%
139 1
0.5%
121 1
0.5%
115 1
0.5%
110 1
0.5%
106 1
0.5%
97 1
0.5%
94 1
0.5%
93 1
0.5%
92 1
0.5%

18
Real number (ℝ)

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.296482
Minimum13
Maximum556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:32.790824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile22
Q135
median59
Q399
95-th percentile252.9
Maximum556
Range543
Interquartile range (IQR)64

Descriptive statistics

Standard deviation80.807713
Coefficient of variation (CV)0.93639637
Kurtosis8.4402855
Mean86.296482
Median Absolute Deviation (MAD)28
Skewness2.5448252
Sum17173
Variance6529.8864
MonotonicityNot monotonic
2023-12-10T15:28:33.102579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 7
 
3.5%
62 7
 
3.5%
30 6
 
3.0%
44 5
 
2.5%
54 5
 
2.5%
35 5
 
2.5%
41 4
 
2.0%
28 4
 
2.0%
22 3
 
1.5%
92 3
 
1.5%
Other values (103) 150
75.4%
ValueCountFrequency (%)
13 2
1.0%
15 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
19 1
 
0.5%
20 2
1.0%
21 1
 
0.5%
22 3
1.5%
23 2
1.0%
24 2
1.0%
ValueCountFrequency (%)
556 1
0.5%
450 1
0.5%
377 1
0.5%
375 1
0.5%
305 1
0.5%
292 1
0.5%
285 1
0.5%
278 1
0.5%
276 1
0.5%
261 1
0.5%

20.3
Real number (ℝ)

Distinct117
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.20603
Minimum15
Maximum733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:33.320176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile23.9
Q137.5
median62
Q3105.5
95-th percentile282
Maximum733
Range718
Interquartile range (IQR)68

Descriptive statistics

Standard deviation96.433223
Coefficient of variation (CV)1.0236417
Kurtosis12.380349
Mean94.20603
Median Absolute Deviation (MAD)30
Skewness2.9999108
Sum18747
Variance9299.3664
MonotonicityNot monotonic
2023-12-10T15:28:33.555996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 6
 
3.0%
30 6
 
3.0%
35 5
 
2.5%
44 4
 
2.0%
31 4
 
2.0%
50 4
 
2.0%
29 4
 
2.0%
67 4
 
2.0%
81 4
 
2.0%
24 4
 
2.0%
Other values (107) 154
77.4%
ValueCountFrequency (%)
15 2
1.0%
16 2
1.0%
19 2
1.0%
21 2
1.0%
23 2
1.0%
24 4
2.0%
25 3
1.5%
26 1
 
0.5%
27 2
1.0%
28 3
1.5%
ValueCountFrequency (%)
733 1
0.5%
489 1
0.5%
484 1
0.5%
439 1
0.5%
402 1
0.5%
339 1
0.5%
335 1
0.5%
307 1
0.5%
303 1
0.5%
291 1
0.5%

3.59
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.718593
Minimum2
Maximum204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:33.826325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16.5
median10
Q320
95-th percentile73.2
Maximum204
Range202
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation27.87148
Coefficient of variation (CV)1.4134619
Kurtosis20.135158
Mean19.718593
Median Absolute Deviation (MAD)5
Skewness4.0420682
Sum3924
Variance776.8194
MonotonicityNot monotonic
2023-12-10T15:28:34.068007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5 17
 
8.5%
8 15
 
7.5%
7 14
 
7.0%
9 13
 
6.5%
4 12
 
6.0%
10 11
 
5.5%
6 11
 
5.5%
12 10
 
5.0%
3 7
 
3.5%
11 6
 
3.0%
Other values (39) 83
41.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 7
3.5%
4 12
6.0%
5 17
8.5%
6 11
5.5%
7 14
7.0%
8 15
7.5%
9 13
6.5%
10 11
5.5%
11 6
 
3.0%
ValueCountFrequency (%)
204 1
0.5%
193 1
0.5%
163 1
0.5%
99 2
1.0%
98 1
0.5%
96 1
0.5%
83 1
0.5%
79 1
0.5%
75 1
0.5%
73 1
0.5%

3.60
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.226131
Minimum2
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:34.308588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16.5
median10
Q320
95-th percentile44.4
Maximum110
Range108
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation15.254876
Coefficient of variation (CV)0.94014254
Kurtosis8.8344995
Mean16.226131
Median Absolute Deviation (MAD)5
Skewness2.4968911
Sum3229
Variance232.71123
MonotonicityNot monotonic
2023-12-10T15:28:34.566399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
6 18
 
9.0%
10 16
 
8.0%
8 14
 
7.0%
4 13
 
6.5%
5 12
 
6.0%
7 11
 
5.5%
9 11
 
5.5%
11 8
 
4.0%
13 8
 
4.0%
12 6
 
3.0%
Other values (37) 82
41.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 4
 
2.0%
4 13
6.5%
5 12
6.0%
6 18
9.0%
7 11
5.5%
8 14
7.0%
9 11
5.5%
10 16
8.0%
11 8
4.0%
ValueCountFrequency (%)
110 1
0.5%
79 1
0.5%
68 1
0.5%
62 2
1.0%
58 1
0.5%
57 1
0.5%
53 1
0.5%
48 2
1.0%
44 2
1.0%
43 1
0.5%

4.55
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.849246
Minimum2
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:34.820662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q321
95-th percentile56.1
Maximum127
Range125
Interquartile range (IQR)14

Descriptive statistics

Standard deviation19.264438
Coefficient of variation (CV)1.0792858
Kurtosis10.921745
Mean17.849246
Median Absolute Deviation (MAD)6
Skewness2.9203528
Sum3552
Variance371.11857
MonotonicityNot monotonic
2023-12-10T15:28:35.094688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5 20
 
10.1%
8 14
 
7.0%
6 13
 
6.5%
7 13
 
6.5%
11 12
 
6.0%
9 12
 
6.0%
10 9
 
4.5%
15 8
 
4.0%
17 8
 
4.0%
4 8
 
4.0%
Other values (37) 82
41.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 4
 
2.0%
4 8
 
4.0%
5 20
10.1%
6 13
6.5%
7 13
6.5%
8 14
7.0%
9 12
6.0%
10 9
4.5%
11 12
6.0%
ValueCountFrequency (%)
127 1
 
0.5%
125 1
 
0.5%
95 1
 
0.5%
85 1
 
0.5%
71 1
 
0.5%
64 2
1.0%
58 2
1.0%
57 1
 
0.5%
56 1
 
0.5%
55 3
1.5%

3.61
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.944724
Minimum3
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:35.311316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median11
Q317
95-th percentile44.1
Maximum140
Range137
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.003326
Coefficient of variation (CV)1.066392
Kurtosis19.045898
Mean15.944724
Median Absolute Deviation (MAD)5
Skewness3.7126674
Sum3173
Variance289.11309
MonotonicityNot monotonic
2023-12-10T15:28:35.513895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7 21
 
10.6%
12 17
 
8.5%
9 14
 
7.0%
4 14
 
7.0%
6 12
 
6.0%
13 11
 
5.5%
5 11
 
5.5%
16 9
 
4.5%
11 9
 
4.5%
8 9
 
4.5%
Other values (36) 72
36.2%
ValueCountFrequency (%)
3 5
 
2.5%
4 14
7.0%
5 11
5.5%
6 12
6.0%
7 21
10.6%
8 9
4.5%
9 14
7.0%
10 7
 
3.5%
11 9
4.5%
12 17
8.5%
ValueCountFrequency (%)
140 1
0.5%
102 1
0.5%
92 1
0.5%
79 1
0.5%
54 1
0.5%
53 1
0.5%
50 2
1.0%
48 1
0.5%
45 1
0.5%
44 1
0.5%

0.36
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
174 
1
21 
8
 
2
12
 
1
4
 
1

Length

Max length2
Median length1
Mean length1.0050251
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 174
87.4%
1 21
 
10.6%
8 2
 
1.0%
12 1
 
0.5%
4 1
 
0.5%

Length

2023-12-10T15:28:35.726042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:28:35.903689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 174
87.4%
1 21
 
10.6%
8 2
 
1.0%
12 1
 
0.5%
4 1
 
0.5%

5.24
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.221106
Minimum2
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:36.068870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q18
median13
Q320
95-th percentile44
Maximum80
Range78
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.523971
Coefficient of variation (CV)0.77207877
Kurtosis5.4342491
Mean16.221106
Median Absolute Deviation (MAD)6
Skewness2.0691464
Sum3228
Variance156.84986
MonotonicityNot monotonic
2023-12-10T15:28:36.294430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
9 17
 
8.5%
7 12
 
6.0%
6 12
 
6.0%
8 10
 
5.0%
14 10
 
5.0%
11 9
 
4.5%
17 9
 
4.5%
16 9
 
4.5%
10 9
 
4.5%
4 9
 
4.5%
Other values (34) 93
46.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 4
 
2.0%
4 9
4.5%
5 6
 
3.0%
6 12
6.0%
7 12
6.0%
8 10
5.0%
9 17
8.5%
10 9
4.5%
11 9
4.5%
ValueCountFrequency (%)
80 1
0.5%
66 1
0.5%
60 1
0.5%
59 1
0.5%
54 1
0.5%
53 1
0.5%
47 2
1.0%
45 1
0.5%
44 2
1.0%
42 1
0.5%

3.62
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.633166
Minimum2
Maximum307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:36.492925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q324
95-th percentile69.9
Maximum307
Range305
Interquartile range (IQR)17

Descriptive statistics

Standard deviation38.927167
Coefficient of variation (CV)1.6471415
Kurtosis23.709966
Mean23.633166
Median Absolute Deviation (MAD)5
Skewness4.4579482
Sum4703
Variance1515.3243
MonotonicityNot monotonic
2023-12-10T15:28:36.708629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
8 15
 
7.5%
7 14
 
7.0%
6 13
 
6.5%
4 13
 
6.5%
10 12
 
6.0%
9 11
 
5.5%
13 9
 
4.5%
12 8
 
4.0%
11 6
 
3.0%
Other values (46) 82
41.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 13
6.5%
5 16
8.0%
6 13
6.5%
7 14
7.0%
8 15
7.5%
9 11
5.5%
10 12
6.0%
11 6
 
3.0%
ValueCountFrequency (%)
307 1
0.5%
236 1
0.5%
225 1
0.5%
210 1
0.5%
128 1
0.5%
126 1
0.5%
125 1
0.5%
108 1
0.5%
107 1
0.5%
78 1
0.5%

3.63
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.472362
Minimum2
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:36.920448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16
median9
Q320.5
95-th percentile45.2
Maximum115
Range113
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation15.119991
Coefficient of variation (CV)0.9772258
Kurtosis10.472356
Mean15.472362
Median Absolute Deviation (MAD)5
Skewness2.6135932
Sum3079
Variance228.61413
MonotonicityNot monotonic
2023-12-10T15:28:37.151998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
6 18
 
9.0%
4 18
 
9.0%
5 15
 
7.5%
8 15
 
7.5%
9 14
 
7.0%
7 13
 
6.5%
13 9
 
4.5%
25 7
 
3.5%
3 7
 
3.5%
10 6
 
3.0%
Other values (35) 77
38.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 7
 
3.5%
4 18
9.0%
5 15
7.5%
6 18
9.0%
7 13
6.5%
8 15
7.5%
9 14
7.0%
10 6
 
3.0%
11 2
 
1.0%
ValueCountFrequency (%)
115 1
0.5%
76 1
0.5%
59 2
1.0%
58 2
1.0%
52 1
0.5%
50 1
0.5%
47 2
1.0%
45 1
0.5%
44 1
0.5%
41 2
1.0%

3.64
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.221106
Minimum2
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:37.375795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q321
95-th percentile56.1
Maximum266
Range264
Interquartile range (IQR)15

Descriptive statistics

Standard deviation27.901366
Coefficient of variation (CV)1.4516005
Kurtosis35.720506
Mean19.221106
Median Absolute Deviation (MAD)5
Skewness5.1322269
Sum3825
Variance778.48622
MonotonicityNot monotonic
2023-12-10T15:28:37.735954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 24
 
12.1%
7 15
 
7.5%
8 13
 
6.5%
9 12
 
6.0%
6 12
 
6.0%
11 9
 
4.5%
13 9
 
4.5%
4 9
 
4.5%
10 9
 
4.5%
18 7
 
3.5%
Other values (40) 80
40.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 4
 
2.0%
4 9
 
4.5%
5 24
12.1%
6 12
6.0%
7 15
7.5%
8 13
6.5%
9 12
6.0%
10 9
 
4.5%
11 9
 
4.5%
ValueCountFrequency (%)
266 1
0.5%
158 1
0.5%
138 1
0.5%
134 1
0.5%
84 1
0.5%
76 1
0.5%
74 1
0.5%
67 1
0.5%
59 1
0.5%
57 1
0.5%

4.56
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.251256
Minimum3
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:37.964482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median12
Q318
95-th percentile50.2
Maximum160
Range157
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.100669
Coefficient of variation (CV)1.1072045
Kurtosis20.266501
Mean17.251256
Median Absolute Deviation (MAD)5
Skewness3.8353499
Sum3433
Variance364.83554
MonotonicityNot monotonic
2023-12-10T15:28:38.207674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6 22
 
11.1%
13 14
 
7.0%
10 12
 
6.0%
8 12
 
6.0%
7 11
 
5.5%
14 11
 
5.5%
5 10
 
5.0%
9 10
 
5.0%
12 9
 
4.5%
11 9
 
4.5%
Other values (36) 79
39.7%
ValueCountFrequency (%)
3 4
 
2.0%
4 8
 
4.0%
5 10
5.0%
6 22
11.1%
7 11
5.5%
8 12
6.0%
9 10
5.0%
10 12
6.0%
11 9
4.5%
12 9
4.5%
ValueCountFrequency (%)
160 1
 
0.5%
108 1
 
0.5%
106 1
 
0.5%
91 1
 
0.5%
57 3
1.5%
56 1
 
0.5%
55 1
 
0.5%
52 1
 
0.5%
50 2
1.0%
48 1
 
0.5%

6.34
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.894472
Minimum2
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:38.452555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q19
median15
Q323
95-th percentile54
Maximum99
Range97
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.143553
Coefficient of variation (CV)0.80148059
Kurtosis6.0238221
Mean18.894472
Median Absolute Deviation (MAD)7
Skewness2.158211
Sum3760
Variance229.32719
MonotonicityNot monotonic
2023-12-10T15:28:38.687486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 11
 
5.5%
8 11
 
5.5%
11 10
 
5.0%
18 9
 
4.5%
9 9
 
4.5%
14 8
 
4.0%
20 8
 
4.0%
6 8
 
4.0%
19 7
 
3.5%
5 7
 
3.5%
Other values (41) 111
55.8%
ValueCountFrequency (%)
2 3
 
1.5%
3 4
 
2.0%
4 5
2.5%
5 7
3.5%
6 8
4.0%
7 7
3.5%
8 11
5.5%
9 9
4.5%
10 11
5.5%
11 10
5.0%
ValueCountFrequency (%)
99 1
0.5%
81 1
0.5%
71 1
0.5%
67 1
0.5%
64 1
0.5%
62 1
0.5%
57 1
0.5%
56 1
0.5%
55 1
0.5%
54 2
1.0%

20.4
Real number (ℝ)

Distinct96
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.623116
Minimum1
Maximum281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:38.923814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.9
Q133
median53
Q371
95-th percentile165
Maximum281
Range280
Interquartile range (IQR)38

Descriptive statistics

Standard deviation45.986863
Coefficient of variation (CV)0.74625995
Kurtosis5.3930806
Mean61.623116
Median Absolute Deviation (MAD)20
Skewness2.0849368
Sum12263
Variance2114.7916
MonotonicityNot monotonic
2023-12-10T15:28:39.168474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 7
 
3.5%
33 7
 
3.5%
68 7
 
3.5%
71 6
 
3.0%
62 6
 
3.0%
55 5
 
2.5%
52 5
 
2.5%
31 4
 
2.0%
38 4
 
2.0%
7 4
 
2.0%
Other values (86) 144
72.4%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
7 4
2.0%
10 2
1.0%
11 1
 
0.5%
14 1
 
0.5%
15 4
2.0%
16 1
 
0.5%
17 1
 
0.5%
19 2
1.0%
ValueCountFrequency (%)
281 1
0.5%
241 1
0.5%
230 1
0.5%
224 1
0.5%
221 1
0.5%
211 1
0.5%
187 1
0.5%
182 1
0.5%
167 1
0.5%
165 2
1.0%

21.9
Real number (ℝ)

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.145729
Minimum2
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:39.381821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8.9
Q131.5
median49
Q372.5
95-th percentile165.6
Maximum300
Range298
Interquartile range (IQR)41

Descriptive statistics

Standard deviation50.855448
Coefficient of variation (CV)0.81832572
Kurtosis5.3433232
Mean62.145729
Median Absolute Deviation (MAD)19
Skewness2.117865
Sum12367
Variance2586.2766
MonotonicityNot monotonic
2023-12-10T15:28:39.604240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 7
 
3.5%
38 7
 
3.5%
26 6
 
3.0%
46 5
 
2.5%
68 5
 
2.5%
33 5
 
2.5%
34 4
 
2.0%
35 4
 
2.0%
49 4
 
2.0%
16 4
 
2.0%
Other values (89) 148
74.4%
ValueCountFrequency (%)
2 1
 
0.5%
4 1
 
0.5%
5 2
1.0%
6 1
 
0.5%
7 1
 
0.5%
8 4
2.0%
9 1
 
0.5%
11 1
 
0.5%
13 1
 
0.5%
16 4
2.0%
ValueCountFrequency (%)
300 1
0.5%
270 1
0.5%
251 1
0.5%
244 1
0.5%
229 1
0.5%
228 1
0.5%
195 1
0.5%
189 1
0.5%
187 1
0.5%
180 1
0.5%

3.65
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.60804
Minimum0
Maximum94
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:40.262546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q316
95-th percentile33.1
Maximum94
Range94
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.592409
Coefficient of variation (CV)0.84013128
Kurtosis17.739344
Mean12.60804
Median Absolute Deviation (MAD)4
Skewness3.1736206
Sum2509
Variance112.19913
MonotonicityNot monotonic
2023-12-10T15:28:40.467592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
11 16
 
8.0%
10 16
 
8.0%
6 16
 
8.0%
5 15
 
7.5%
9 14
 
7.0%
7 13
 
6.5%
8 12
 
6.0%
12 11
 
5.5%
3 9
 
4.5%
4 9
 
4.5%
Other values (29) 68
34.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 2
 
1.0%
3 9
4.5%
4 9
4.5%
5 15
7.5%
6 16
8.0%
7 13
6.5%
8 12
6.0%
9 14
7.0%
ValueCountFrequency (%)
94 1
0.5%
45 1
0.5%
43 1
0.5%
42 1
0.5%
41 2
1.0%
38 2
1.0%
36 1
0.5%
34 1
0.5%
33 1
0.5%
29 1
0.5%

3.66
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.050251
Minimum0
Maximum45
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:40.666286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15.5
median9
Q312
95-th percentile30.1
Maximum45
Range45
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation8.3845389
Coefficient of variation (CV)0.75876455
Kurtosis3.7448406
Mean11.050251
Median Absolute Deviation (MAD)3
Skewness1.8508021
Sum2199
Variance70.300492
MonotonicityNot monotonic
2023-12-10T15:28:40.863913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 22
 
11.1%
10 19
 
9.5%
8 15
 
7.5%
11 15
 
7.5%
12 15
 
7.5%
7 14
 
7.0%
6 12
 
6.0%
9 11
 
5.5%
3 9
 
4.5%
4 8
 
4.0%
Other values (27) 59
29.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 5
 
2.5%
3 9
4.5%
4 8
 
4.0%
5 22
11.1%
6 12
6.0%
7 14
7.0%
8 15
7.5%
9 11
5.5%
ValueCountFrequency (%)
45 1
0.5%
44 1
0.5%
43 1
0.5%
37 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%
33 1
0.5%
31 2
1.0%
30 1
0.5%

0.37
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36180905
Minimum0
Maximum11
Zeros157
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:41.040205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum11
Range11
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.259208
Coefficient of variation (CV)3.480311
Kurtosis44.162494
Mean0.36180905
Median Absolute Deviation (MAD)0
Skewness6.3262406
Sum72
Variance1.5856048
MonotonicityNot monotonic
2023-12-10T15:28:41.213932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 157
78.9%
1 38
 
19.1%
11 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 157
78.9%
1 38
 
19.1%
6 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
11 1
 
0.5%
9 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%
1 38
 
19.1%
0 157
78.9%

4.57
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.954774
Minimum0
Maximum53
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:41.384851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q314
95-th percentile34
Maximum53
Range53
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.708008
Coefficient of variation (CV)0.8120612
Kurtosis5.3725555
Mean11.954774
Median Absolute Deviation (MAD)3
Skewness2.1552603
Sum2379
Variance94.245419
MonotonicityNot monotonic
2023-12-10T15:28:41.583592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 22
 
11.1%
9 16
 
8.0%
7 16
 
8.0%
12 15
 
7.5%
11 12
 
6.0%
5 11
 
5.5%
8 10
 
5.0%
10 10
 
5.0%
4 10
 
5.0%
14 8
 
4.0%
Other values (27) 69
34.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 5
 
2.5%
3 6
 
3.0%
4 10
5.0%
5 11
5.5%
6 22
11.1%
7 16
8.0%
8 10
5.0%
9 16
8.0%
ValueCountFrequency (%)
53 1
0.5%
51 2
1.0%
50 1
0.5%
45 1
0.5%
44 1
0.5%
40 1
0.5%
35 2
1.0%
34 2
1.0%
32 1
0.5%
29 2
1.0%

4.58
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.552764
Minimum0
Maximum71
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:41.805202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q313
95-th percentile31.3
Maximum71
Range71
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.038108
Coefficient of variation (CV)0.86889236
Kurtosis9.6663744
Mean11.552764
Median Absolute Deviation (MAD)4
Skewness2.7203012
Sum2299
Variance100.76362
MonotonicityNot monotonic
2023-12-10T15:28:41.996983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
7 19
 
9.5%
5 17
 
8.5%
6 16
 
8.0%
9 14
 
7.0%
12 13
 
6.5%
14 12
 
6.0%
13 12
 
6.0%
10 12
 
6.0%
8 12
 
6.0%
4 8
 
4.0%
Other values (28) 64
32.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 6
 
3.0%
3 8
4.0%
4 8
4.0%
5 17
8.5%
6 16
8.0%
7 19
9.5%
8 12
6.0%
9 14
7.0%
ValueCountFrequency (%)
71 1
0.5%
55 1
0.5%
51 1
0.5%
45 2
1.0%
43 1
0.5%
42 1
0.5%
39 1
0.5%
36 1
0.5%
34 1
0.5%
31 1
0.5%

6.35
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.140704
Minimum0
Maximum87
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:42.226827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median12
Q318
95-th percentile37.5
Maximum87
Range87
Interquartile range (IQR)12

Descriptive statistics

Standard deviation12.677838
Coefficient of variation (CV)0.89654931
Kurtosis8.2323038
Mean14.140704
Median Absolute Deviation (MAD)6
Skewness2.3855115
Sum2814
Variance160.72758
MonotonicityNot monotonic
2023-12-10T15:28:42.479722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
10 14
 
7.0%
1 12
 
6.0%
3 11
 
5.5%
18 10
 
5.0%
16 10
 
5.0%
12 10
 
5.0%
19 10
 
5.0%
4 10
 
5.0%
6 9
 
4.5%
8 9
 
4.5%
Other values (36) 94
47.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 12
6.0%
2 6
3.0%
3 11
5.5%
4 10
5.0%
5 7
3.5%
6 9
4.5%
7 8
4.0%
8 9
4.5%
9 7
3.5%
ValueCountFrequency (%)
87 1
0.5%
69 1
0.5%
65 1
0.5%
54 1
0.5%
51 1
0.5%
49 1
0.5%
48 1
0.5%
47 1
0.5%
45 1
0.5%
42 1
0.5%

3.67
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.115578
Minimum0
Maximum76
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:42.679053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q314.5
95-th percentile31
Maximum76
Range76
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation9.592806
Coefficient of variation (CV)0.79177453
Kurtosis11.127689
Mean12.115578
Median Absolute Deviation (MAD)4
Skewness2.6358982
Sum2411
Variance92.021928
MonotonicityNot monotonic
2023-12-10T15:28:42.921652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10 19
 
9.5%
11 18
 
9.0%
5 16
 
8.0%
6 15
 
7.5%
9 13
 
6.5%
8 13
 
6.5%
7 12
 
6.0%
13 9
 
4.5%
4 9
 
4.5%
3 7
 
3.5%
Other values (27) 68
34.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 4
 
2.0%
3 7
3.5%
4 9
4.5%
5 16
8.0%
6 15
7.5%
7 12
6.0%
8 13
6.5%
9 13
6.5%
ValueCountFrequency (%)
76 1
 
0.5%
49 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
39 1
 
0.5%
37 1
 
0.5%
35 2
1.0%
32 1
 
0.5%
31 3
1.5%
28 1
 
0.5%

3.68
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.211055
Minimum0
Maximum52
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:43.142651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q311.5
95-th percentile32.1
Maximum52
Range52
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation9.490861
Coefficient of variation (CV)0.92946916
Kurtosis4.1428036
Mean10.211055
Median Absolute Deviation (MAD)3
Skewness2.0148975
Sum2032
Variance90.076443
MonotonicityNot monotonic
2023-12-10T15:28:43.386520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 22
 
11.1%
5 21
 
10.6%
4 21
 
10.6%
9 19
 
9.5%
3 14
 
7.0%
10 14
 
7.0%
1 11
 
5.5%
6 11
 
5.5%
11 5
 
2.5%
2 5
 
2.5%
Other values (29) 56
28.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 11
5.5%
2 5
 
2.5%
3 14
7.0%
4 21
10.6%
5 21
10.6%
6 11
5.5%
7 22
11.1%
8 4
 
2.0%
9 19
9.5%
ValueCountFrequency (%)
52 1
0.5%
47 1
0.5%
42 1
0.5%
41 2
1.0%
39 1
0.5%
35 1
0.5%
34 2
1.0%
33 1
0.5%
32 1
0.5%
31 1
0.5%

4.59
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.698492
Minimum0
Maximum73
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:43.607132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q312.5
95-th percentile33.5
Maximum73
Range73
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation12.074246
Coefficient of variation (CV)1.0321198
Kurtosis9.7292126
Mean11.698492
Median Absolute Deviation (MAD)3
Skewness2.8861656
Sum2328
Variance145.78742
MonotonicityNot monotonic
2023-12-10T15:28:43.822853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6 22
 
11.1%
5 18
 
9.0%
7 16
 
8.0%
8 14
 
7.0%
4 13
 
6.5%
12 12
 
6.0%
10 12
 
6.0%
9 12
 
6.0%
2 8
 
4.0%
1 7
 
3.5%
Other values (30) 65
32.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 7
 
3.5%
2 8
 
4.0%
3 7
 
3.5%
4 13
6.5%
5 18
9.0%
6 22
11.1%
7 16
8.0%
8 14
7.0%
9 12
6.0%
ValueCountFrequency (%)
73 1
0.5%
70 1
0.5%
66 1
0.5%
62 1
0.5%
59 1
0.5%
49 1
0.5%
44 1
0.5%
43 1
0.5%
40 1
0.5%
38 1
0.5%

4.60
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.763819
Minimum0
Maximum63
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:44.047407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q314
95-th percentile33.2
Maximum63
Range63
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.6011
Coefficient of variation (CV)0.90116147
Kurtosis7.6738488
Mean11.763819
Median Absolute Deviation (MAD)4
Skewness2.5235029
Sum2341
Variance112.38333
MonotonicityNot monotonic
2023-12-10T15:28:44.260458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 18
 
9.0%
5 17
 
8.5%
13 15
 
7.5%
8 13
 
6.5%
6 13
 
6.5%
11 12
 
6.0%
4 11
 
5.5%
14 10
 
5.0%
12 9
 
4.5%
15 9
 
4.5%
Other values (27) 72
36.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 8
4.0%
2 7
 
3.5%
3 7
 
3.5%
4 11
5.5%
5 17
8.5%
6 13
6.5%
7 18
9.0%
8 13
6.5%
9 7
 
3.5%
ValueCountFrequency (%)
63 1
0.5%
60 1
0.5%
59 1
0.5%
50 1
0.5%
46 1
0.5%
45 2
1.0%
42 1
0.5%
39 1
0.5%
35 1
0.5%
33 1
0.5%

7.15
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.668342
Minimum0
Maximum108
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:44.516173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median13
Q322
95-th percentile47.4
Maximum108
Range108
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.658623
Coefficient of variation (CV)0.93942297
Kurtosis8.132487
Mean16.668342
Median Absolute Deviation (MAD)8
Skewness2.3311973
Sum3317
Variance245.19248
MonotonicityNot monotonic
2023-12-10T15:28:44.738055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
2 17
 
8.5%
1 11
 
5.5%
3 10
 
5.0%
11 10
 
5.0%
20 9
 
4.5%
7 9
 
4.5%
9 9
 
4.5%
21 8
 
4.0%
8 8
 
4.0%
15 7
 
3.5%
Other values (37) 101
50.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 11
5.5%
2 17
8.5%
3 10
5.0%
4 3
 
1.5%
5 4
 
2.0%
7 9
4.5%
8 8
4.0%
9 9
4.5%
10 5
 
2.5%
ValueCountFrequency (%)
108 1
0.5%
82 1
0.5%
79 1
0.5%
63 2
1.0%
60 1
0.5%
56 1
0.5%
55 1
0.5%
54 1
0.5%
51 1
0.5%
47 1
0.5%

9.8
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.316583
Minimum1
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:44.968715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q116
median26
Q336.5
95-th percentile87
Maximum231
Range230
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation26.975771
Coefficient of variation (CV)0.83473462
Kurtosis15.752817
Mean32.316583
Median Absolute Deviation (MAD)10
Skewness3.1084657
Sum6431
Variance727.6922
MonotonicityNot monotonic
2023-12-10T15:28:45.197851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 8
 
4.0%
15 8
 
4.0%
14 8
 
4.0%
24 8
 
4.0%
31 8
 
4.0%
22 8
 
4.0%
32 7
 
3.5%
29 7
 
3.5%
12 6
 
3.0%
16 6
 
3.0%
Other values (57) 125
62.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
5 1
 
0.5%
6 2
 
1.0%
7 5
2.5%
9 2
 
1.0%
10 4
2.0%
11 4
2.0%
12 6
3.0%
ValueCountFrequency (%)
231 1
0.5%
129 1
0.5%
111 1
0.5%
109 1
0.5%
108 1
0.5%
105 1
0.5%
103 1
0.5%
102 1
0.5%
101 1
0.5%
96 1
0.5%

10.10
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.58794
Minimum1
Maximum318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:45.444360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q117
median28
Q338.5
95-th percentile90.6
Maximum318
Range317
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation32.40107
Coefficient of variation (CV)0.93677364
Kurtosis30.089887
Mean34.58794
Median Absolute Deviation (MAD)11
Skewness4.2873071
Sum6883
Variance1049.8293
MonotonicityNot monotonic
2023-12-10T15:28:45.681674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 11
 
5.5%
15 9
 
4.5%
17 8
 
4.0%
30 7
 
3.5%
12 7
 
3.5%
25 7
 
3.5%
18 7
 
3.5%
35 6
 
3.0%
29 6
 
3.0%
7 5
 
2.5%
Other values (60) 126
63.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
4 3
1.5%
5 1
 
0.5%
6 1
 
0.5%
7 5
2.5%
8 1
 
0.5%
9 1
 
0.5%
10 2
 
1.0%
11 4
2.0%
ValueCountFrequency (%)
318 1
0.5%
137 1
0.5%
133 1
0.5%
127 1
0.5%
124 1
0.5%
115 1
0.5%
113 1
0.5%
111 1
0.5%
105 2
1.0%
89 1
0.5%

0.38
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.57286432
Minimum0
Maximum13
Zeros118
Zeros (%)59.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:45.838068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3308565
Coefficient of variation (CV)2.3231619
Kurtosis47.327867
Mean0.57286432
Median Absolute Deviation (MAD)0
Skewness6.1854781
Sum114
Variance1.7711791
MonotonicityNot monotonic
2023-12-10T15:28:46.012983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 118
59.3%
1 76
38.2%
7 2
 
1.0%
13 1
 
0.5%
3 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 118
59.3%
1 76
38.2%
3 1
 
0.5%
7 2
 
1.0%
8 1
 
0.5%
13 1
 
0.5%
ValueCountFrequency (%)
13 1
 
0.5%
8 1
 
0.5%
7 2
 
1.0%
3 1
 
0.5%
1 76
38.2%
0 118
59.3%

1.4
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2211055
Minimum0
Maximum36
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:46.244781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile17
Maximum36
Range36
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.3059293
Coefficient of variation (CV)0.8528917
Kurtosis6.7974574
Mean6.2211055
Median Absolute Deviation (MAD)2
Skewness2.1883052
Sum1238
Variance28.152886
MonotonicityNot monotonic
2023-12-10T15:28:46.458597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 30
15.1%
3 30
15.1%
2 28
14.1%
4 27
13.6%
6 14
7.0%
1 10
 
5.0%
9 9
 
4.5%
10 8
 
4.0%
8 7
 
3.5%
16 6
 
3.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 10
 
5.0%
2 28
14.1%
3 30
15.1%
4 27
13.6%
5 30
15.1%
6 14
7.0%
7 4
 
2.0%
8 7
 
3.5%
9 9
 
4.5%
ValueCountFrequency (%)
36 1
 
0.5%
31 1
 
0.5%
21 1
 
0.5%
20 2
 
1.0%
19 2
 
1.0%
17 4
2.0%
16 6
3.0%
15 1
 
0.5%
14 3
1.5%
13 2
 
1.0%

2.88
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9849246
Minimum0
Maximum26
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:46.668178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile15.1
Maximum26
Range26
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.4352552
Coefficient of variation (CV)0.74107119
Kurtosis3.2467878
Mean5.9849246
Median Absolute Deviation (MAD)2
Skewness1.6492796
Sum1191
Variance19.671489
MonotonicityNot monotonic
2023-12-10T15:28:46.851357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 30
15.1%
4 29
14.6%
2 27
13.6%
3 23
11.6%
6 17
8.5%
8 11
 
5.5%
1 10
 
5.0%
9 9
 
4.5%
11 8
 
4.0%
7 8
 
4.0%
Other values (12) 27
13.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 10
 
5.0%
2 27
13.6%
3 23
11.6%
4 29
14.6%
5 30
15.1%
6 17
8.5%
7 8
 
4.0%
8 11
 
5.5%
9 9
 
4.5%
ValueCountFrequency (%)
26 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
20 2
1.0%
17 1
 
0.5%
16 4
2.0%
15 1
 
0.5%
14 3
1.5%
13 4
2.0%
12 4
2.0%

2.89
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8040201
Minimum0
Maximum79
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:47.061944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile18.1
Maximum79
Range79
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.5469429
Coefficient of variation (CV)1.1091888
Kurtosis43.968374
Mean6.8040201
Median Absolute Deviation (MAD)2
Skewness5.4007863
Sum1354
Variance56.956347
MonotonicityNot monotonic
2023-12-10T15:28:47.260169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 31
15.6%
3 31
15.6%
5 24
12.1%
2 19
9.5%
6 17
8.5%
7 12
 
6.0%
8 11
 
5.5%
9 10
 
5.0%
1 9
 
4.5%
13 6
 
3.0%
Other values (15) 29
14.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 9
 
4.5%
2 19
9.5%
3 31
15.6%
4 31
15.6%
5 24
12.1%
6 17
8.5%
7 12
 
6.0%
8 11
 
5.5%
9 10
 
5.0%
ValueCountFrequency (%)
79 1
 
0.5%
41 1
 
0.5%
28 1
 
0.5%
24 3
1.5%
23 2
1.0%
21 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
16 3
1.5%
15 2
1.0%

2.90
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.2713568
Minimum0
Maximum109
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:47.478913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q36
95-th percentile16
Maximum109
Range109
Interquartile range (IQR)3

Descriptive statistics

Standard deviation8.8641107
Coefficient of variation (CV)1.4134279
Kurtosis93.092913
Mean6.2713568
Median Absolute Deviation (MAD)2
Skewness8.5191513
Sum1248
Variance78.572458
MonotonicityNot monotonic
2023-12-10T15:28:47.638900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 31
15.6%
3 30
15.1%
4 28
14.1%
5 25
12.6%
2 23
11.6%
1 12
 
6.0%
7 10
 
5.0%
8 6
 
3.0%
10 6
 
3.0%
9 5
 
2.5%
Other values (13) 23
11.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 12
 
6.0%
2 23
11.6%
3 30
15.1%
4 28
14.1%
5 25
12.6%
6 31
15.6%
7 10
 
5.0%
8 6
 
3.0%
9 5
 
2.5%
ValueCountFrequency (%)
109 1
 
0.5%
45 1
 
0.5%
25 1
 
0.5%
23 1
 
0.5%
20 2
1.0%
19 1
 
0.5%
18 1
 
0.5%
16 3
1.5%
14 4
2.0%
13 2
1.0%

3.69
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8040201
Minimum0
Maximum40
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:47.841509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q38
95-th percentile17.2
Maximum40
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.6815121
Coefficient of variation (CV)0.83502283
Kurtosis8.9766275
Mean6.8040201
Median Absolute Deviation (MAD)3
Skewness2.5004779
Sum1354
Variance32.27958
MonotonicityNot monotonic
2023-12-10T15:28:48.057398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
4 22
11.1%
3 21
10.6%
8 21
10.6%
7 20
10.1%
2 18
9.0%
5 18
9.0%
1 15
7.5%
6 15
7.5%
9 14
7.0%
10 8
 
4.0%
Other values (16) 27
13.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 15
7.5%
2 18
9.0%
3 21
10.6%
4 22
11.1%
5 18
9.0%
6 15
7.5%
7 20
10.1%
8 21
10.6%
9 14
7.0%
ValueCountFrequency (%)
40 1
0.5%
32 1
0.5%
30 1
0.5%
25 1
0.5%
23 2
1.0%
22 2
1.0%
21 1
0.5%
19 1
0.5%
17 1
0.5%
16 2
1.0%

2.91
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1256281
Minimum0
Maximum54
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:48.295734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q13
median5
Q39
95-th percentile20
Maximum54
Range54
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.1829833
Coefficient of variation (CV)1.0080491
Kurtosis13.189667
Mean7.1256281
Median Absolute Deviation (MAD)2
Skewness3.0272544
Sum1418
Variance51.595249
MonotonicityNot monotonic
2023-12-10T15:28:48.529568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 30
15.1%
4 28
14.1%
2 27
13.6%
5 23
11.6%
6 15
7.5%
9 10
 
5.0%
14 9
 
4.5%
1 8
 
4.0%
7 7
 
3.5%
11 6
 
3.0%
Other values (19) 36
18.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 8
 
4.0%
2 27
13.6%
3 30
15.1%
4 28
14.1%
5 23
11.6%
6 15
7.5%
7 7
 
3.5%
8 4
 
2.0%
9 10
 
5.0%
ValueCountFrequency (%)
54 1
 
0.5%
45 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
27 1
 
0.5%
23 1
 
0.5%
22 2
1.0%
21 1
 
0.5%
20 3
1.5%
19 1
 
0.5%

1.5
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.6934673
Minimum0
Maximum25
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:49.163162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q37
95-th percentile16
Maximum25
Range25
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.6668298
Coefficient of variation (CV)0.81968149
Kurtosis3.2054812
Mean5.6934673
Median Absolute Deviation (MAD)2
Skewness1.7611386
Sum1133
Variance21.779301
MonotonicityNot monotonic
2023-12-10T15:28:49.351218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4 33
16.6%
2 30
15.1%
3 30
15.1%
6 19
9.5%
5 17
8.5%
1 13
 
6.5%
7 11
 
5.5%
8 6
 
3.0%
12 5
 
2.5%
9 5
 
2.5%
Other values (13) 30
15.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 13
 
6.5%
2 30
15.1%
3 30
15.1%
4 33
16.6%
5 17
8.5%
6 19
9.5%
7 11
 
5.5%
8 6
 
3.0%
9 5
 
2.5%
ValueCountFrequency (%)
25 1
 
0.5%
24 1
 
0.5%
21 1
 
0.5%
20 1
 
0.5%
19 3
1.5%
18 1
 
0.5%
16 3
1.5%
15 3
1.5%
14 2
1.0%
13 3
1.5%

2.92
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2914573
Minimum0
Maximum172
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:49.569554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile20
Maximum172
Range172
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.468462
Coefficient of variation (CV)1.8471564
Kurtosis114.97309
Mean7.2914573
Median Absolute Deviation (MAD)2
Skewness9.7677103
Sum1451
Variance181.39947
MonotonicityNot monotonic
2023-12-10T15:28:49.778904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 34
17.1%
5 28
14.1%
4 27
13.6%
2 24
12.1%
6 15
7.5%
8 11
 
5.5%
1 9
 
4.5%
9 8
 
4.0%
10 8
 
4.0%
7 7
 
3.5%
Other values (17) 28
14.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 9
 
4.5%
2 24
12.1%
3 34
17.1%
4 27
13.6%
5 28
14.1%
6 15
7.5%
7 7
 
3.5%
8 11
 
5.5%
9 8
 
4.0%
ValueCountFrequency (%)
172 1
0.5%
62 1
0.5%
30 1
0.5%
28 1
0.5%
27 1
0.5%
26 1
0.5%
23 1
0.5%
22 2
1.0%
20 2
1.0%
19 1
0.5%

2.93
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4422111
Minimum0
Maximum103
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:49.976731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q37
95-th percentile16.1
Maximum103
Range103
Interquartile range (IQR)4

Descriptive statistics

Standard deviation8.5022532
Coefficient of variation (CV)1.3197725
Kurtosis85.355902
Mean6.4422111
Median Absolute Deviation (MAD)2
Skewness8.0155819
Sum1282
Variance72.28831
MonotonicityNot monotonic
2023-12-10T15:28:50.185024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 32
16.1%
5 31
15.6%
6 27
13.6%
4 23
11.6%
2 19
9.5%
7 14
7.0%
1 11
 
5.5%
8 9
 
4.5%
11 7
 
3.5%
14 5
 
2.5%
Other values (14) 21
10.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 11
 
5.5%
2 19
9.5%
3 32
16.1%
4 23
11.6%
5 31
15.6%
6 27
13.6%
7 14
7.0%
8 9
 
4.5%
9 4
 
2.0%
ValueCountFrequency (%)
103 1
 
0.5%
40 1
 
0.5%
28 1
 
0.5%
23 1
 
0.5%
21 3
1.5%
19 1
 
0.5%
18 1
 
0.5%
17 1
 
0.5%
16 1
 
0.5%
15 1
 
0.5%

3.70
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.040201
Minimum0
Maximum49
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:50.398416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q310
95-th percentile22.1
Maximum49
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.9251694
Coefficient of variation (CV)0.86131795
Kurtosis8.9020753
Mean8.040201
Median Absolute Deviation (MAD)3
Skewness2.4717207
Sum1600
Variance47.957972
MonotonicityNot monotonic
2023-12-10T15:28:50.619522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9 21
10.6%
4 19
9.5%
10 17
 
8.5%
2 17
 
8.5%
3 16
 
8.0%
6 15
 
7.5%
5 15
 
7.5%
7 12
 
6.0%
8 12
 
6.0%
1 12
 
6.0%
Other values (19) 43
21.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 12
6.0%
2 17
8.5%
3 16
8.0%
4 19
9.5%
5 15
7.5%
6 15
7.5%
7 12
6.0%
8 12
6.0%
9 21
10.6%
ValueCountFrequency (%)
49 1
0.5%
38 1
0.5%
36 1
0.5%
29 2
1.0%
27 1
0.5%
26 1
0.5%
25 2
1.0%
23 1
0.5%
22 1
0.5%
20 1
0.5%

0.39
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79396985
Minimum0
Maximum17
Zeros89
Zeros (%)44.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:50.777626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum17
Range17
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5931558
Coefficient of variation (CV)2.0065696
Kurtosis58.885193
Mean0.79396985
Median Absolute Deviation (MAD)1
Skewness6.7541963
Sum158
Variance2.5381453
MonotonicityNot monotonic
2023-12-10T15:28:50.953011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 98
49.2%
0 89
44.7%
2 7
 
3.5%
8 2
 
1.0%
17 1
 
0.5%
7 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 89
44.7%
1 98
49.2%
2 7
 
3.5%
6 1
 
0.5%
7 1
 
0.5%
8 2
 
1.0%
17 1
 
0.5%
ValueCountFrequency (%)
17 1
 
0.5%
8 2
 
1.0%
7 1
 
0.5%
6 1
 
0.5%
2 7
 
3.5%
1 98
49.2%
0 89
44.7%

11.7
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.020101
Minimum1
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:51.178784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.9
Q121
median35
Q363.5
95-th percentile154.5
Maximum371
Range370
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation56.802241
Coefficient of variation (CV)1.0515019
Kurtosis11.969108
Mean54.020101
Median Absolute Deviation (MAD)16
Skewness3.0383357
Sum10750
Variance3226.4945
MonotonicityNot monotonic
2023-12-10T15:28:51.423647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 8
 
4.0%
21 7
 
3.5%
38 7
 
3.5%
19 7
 
3.5%
18 7
 
3.5%
36 6
 
3.0%
17 6
 
3.0%
31 5
 
2.5%
35 5
 
2.5%
41 4
 
2.0%
Other values (85) 137
68.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
4 2
1.0%
8 1
 
0.5%
9 3
1.5%
11 1
 
0.5%
12 1
 
0.5%
13 4
2.0%
14 3
1.5%
15 4
2.0%
ValueCountFrequency (%)
371 1
0.5%
358 1
0.5%
351 1
0.5%
222 1
0.5%
216 1
0.5%
201 1
0.5%
197 1
0.5%
173 1
0.5%
171 1
0.5%
159 1
0.5%

12.8
Real number (ℝ)

Distinct92
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.21608
Minimum1
Maximum621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:51.693482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q122.5
median37
Q366
95-th percentile169
Maximum621
Range620
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation75.031835
Coefficient of variation (CV)1.2460432
Kurtosis25.35182
Mean60.21608
Median Absolute Deviation (MAD)18
Skewness4.3768117
Sum11983
Variance5629.7763
MonotonicityNot monotonic
2023-12-10T15:28:51.928961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 10
 
5.0%
19 8
 
4.0%
38 7
 
3.5%
15 6
 
3.0%
34 5
 
2.5%
21 5
 
2.5%
22 5
 
2.5%
18 5
 
2.5%
24 5
 
2.5%
39 5
 
2.5%
Other values (82) 138
69.3%
ValueCountFrequency (%)
1 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
9 4
2.0%
11 1
 
0.5%
13 3
1.5%
14 2
 
1.0%
15 6
3.0%
16 1
 
0.5%
17 3
1.5%
ValueCountFrequency (%)
621 1
0.5%
502 1
0.5%
481 1
0.5%
256 1
0.5%
236 1
0.5%
195 1
0.5%
176 1
0.5%
173 2
1.0%
169 2
1.0%
166 1
0.5%

2.94
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.778894
Minimum0
Maximum119
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:52.136879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q312.5
95-th percentile45
Maximum119
Range119
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation15.026957
Coefficient of variation (CV)1.2757528
Kurtosis14.731127
Mean11.778894
Median Absolute Deviation (MAD)3
Skewness3.2312414
Sum2344
Variance225.80945
MonotonicityNot monotonic
2023-12-10T15:28:52.363392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 26
13.1%
5 24
 
12.1%
6 22
 
11.1%
4 20
 
10.1%
7 17
 
8.5%
2 10
 
5.0%
10 5
 
2.5%
11 5
 
2.5%
1 5
 
2.5%
12 5
 
2.5%
Other values (33) 60
30.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 5
 
2.5%
2 10
 
5.0%
3 26
13.1%
4 20
10.1%
5 24
12.1%
6 22
11.1%
7 17
8.5%
8 4
 
2.0%
9 4
 
2.0%
ValueCountFrequency (%)
119 1
 
0.5%
69 1
 
0.5%
62 1
 
0.5%
61 1
 
0.5%
55 1
 
0.5%
54 1
 
0.5%
50 1
 
0.5%
48 1
 
0.5%
45 4
2.0%
43 1
 
0.5%

2.95
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.040201
Minimum0
Maximum72
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:52.588909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q313
95-th percentile28.1
Maximum72
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.871313
Coefficient of variation (CV)0.98317882
Kurtosis10.094379
Mean10.040201
Median Absolute Deviation (MAD)3
Skewness2.6275886
Sum1998
Variance97.44282
MonotonicityNot monotonic
2023-12-10T15:28:52.820378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 27
13.6%
4 23
 
11.6%
5 20
 
10.1%
3 20
 
10.1%
7 14
 
7.0%
8 10
 
5.0%
2 9
 
4.5%
10 7
 
3.5%
20 6
 
3.0%
1 5
 
2.5%
Other values (26) 58
29.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 5
 
2.5%
2 9
 
4.5%
3 20
10.1%
4 23
11.6%
5 20
10.1%
6 27
13.6%
7 14
7.0%
8 10
 
5.0%
9 2
 
1.0%
ValueCountFrequency (%)
72 1
 
0.5%
57 1
 
0.5%
41 1
 
0.5%
39 1
 
0.5%
37 2
1.0%
35 1
 
0.5%
30 1
 
0.5%
29 2
1.0%
28 1
 
0.5%
26 3
1.5%

2.96
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.899497
Minimum0
Maximum127
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:53.046202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q312.5
95-th percentile35
Maximum127
Range127
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation16.608077
Coefficient of variation (CV)1.3956957
Kurtosis24.410811
Mean11.899497
Median Absolute Deviation (MAD)3
Skewness4.3674335
Sum2368
Variance275.82823
MonotonicityNot monotonic
2023-12-10T15:28:53.273964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 23
 
11.6%
3 23
 
11.6%
4 22
 
11.1%
6 18
 
9.0%
7 18
 
9.0%
8 9
 
4.5%
2 8
 
4.0%
11 7
 
3.5%
10 6
 
3.0%
16 6
 
3.0%
Other values (28) 59
29.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 8
 
4.0%
3 23
11.6%
4 22
11.1%
5 23
11.6%
6 18
9.0%
7 18
9.0%
8 9
 
4.5%
9 5
 
2.5%
ValueCountFrequency (%)
127 1
0.5%
126 1
0.5%
89 1
0.5%
68 1
0.5%
50 1
0.5%
48 2
1.0%
47 1
0.5%
46 1
0.5%
44 1
0.5%
34 1
0.5%

2.97
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.467337
Minimum0
Maximum185
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:53.471172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q311
95-th percentile29.1
Maximum185
Range185
Interquartile range (IQR)7

Descriptive statistics

Standard deviation17.523366
Coefficient of variation (CV)1.6740998
Kurtosis64.585927
Mean10.467337
Median Absolute Deviation (MAD)3
Skewness7.3251494
Sum2083
Variance307.06837
MonotonicityNot monotonic
2023-12-10T15:28:53.677984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 34
17.1%
7 23
11.6%
6 17
 
8.5%
3 17
 
8.5%
8 16
 
8.0%
5 13
 
6.5%
2 12
 
6.0%
11 7
 
3.5%
13 6
 
3.0%
9 6
 
3.0%
Other values (26) 48
24.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 2
 
1.0%
2 12
 
6.0%
3 17
8.5%
4 34
17.1%
5 13
 
6.5%
6 17
8.5%
7 23
11.6%
8 16
8.0%
9 6
 
3.0%
ValueCountFrequency (%)
185 1
0.5%
141 1
0.5%
49 1
0.5%
47 1
0.5%
42 1
0.5%
35 1
0.5%
34 1
0.5%
31 1
0.5%
30 2
1.0%
29 1
0.5%

3.71
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6130653
Minimum0
Maximum49
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:53.890933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q311
95-th percentile26.1
Maximum49
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.3082236
Coefficient of variation (CV)0.76023862
Kurtosis6.2174584
Mean9.6130653
Median Absolute Deviation (MAD)3
Skewness2.1535477
Sum1913
Variance53.410131
MonotonicityNot monotonic
2023-12-10T15:28:54.134548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10 22
11.1%
5 20
10.1%
9 19
 
9.5%
6 17
 
8.5%
7 17
 
8.5%
4 14
 
7.0%
3 12
 
6.0%
11 11
 
5.5%
12 10
 
5.0%
8 9
 
4.5%
Other values (21) 48
24.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 7
 
3.5%
3 12
6.0%
4 14
7.0%
5 20
10.1%
6 17
8.5%
7 17
8.5%
8 9
4.5%
9 19
9.5%
ValueCountFrequency (%)
49 1
 
0.5%
39 1
 
0.5%
37 1
 
0.5%
31 1
 
0.5%
29 2
1.0%
28 1
 
0.5%
27 3
1.5%
26 3
1.5%
24 1
 
0.5%
23 1
 
0.5%

2.98
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.38191
Minimum0
Maximum195
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:54.335963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q314.5
95-th percentile52.4
Maximum195
Range195
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation21.660486
Coefficient of variation (CV)1.5060925
Kurtosis26.079071
Mean14.38191
Median Absolute Deviation (MAD)3
Skewness4.2018263
Sum2862
Variance469.17664
MonotonicityNot monotonic
2023-12-10T15:28:54.565254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 25
12.6%
6 24
 
12.1%
4 22
 
11.1%
5 22
 
11.1%
7 13
 
6.5%
2 10
 
5.0%
8 7
 
3.5%
13 6
 
3.0%
11 5
 
2.5%
18 4
 
2.0%
Other values (40) 61
30.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 2
 
1.0%
2 10
 
5.0%
3 25
12.6%
4 22
11.1%
5 22
11.1%
6 24
12.1%
7 13
6.5%
8 7
 
3.5%
9 3
 
1.5%
ValueCountFrequency (%)
195 1
0.5%
99 1
0.5%
93 1
0.5%
81 1
0.5%
80 1
0.5%
70 1
0.5%
61 1
0.5%
59 1
0.5%
58 1
0.5%
56 1
0.5%

2.99
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6331658
Minimum0
Maximum84
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:54.793320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q313.5
95-th percentile26.1
Maximum84
Range84
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.8314639
Coefficient of variation (CV)1.0205849
Kurtosis17.379426
Mean9.6331658
Median Absolute Deviation (MAD)3
Skewness3.178258
Sum1917
Variance96.657682
MonotonicityNot monotonic
2023-12-10T15:28:54.991470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 27
13.6%
3 23
 
11.6%
5 21
 
10.6%
6 21
 
10.6%
2 16
 
8.0%
9 7
 
3.5%
7 7
 
3.5%
8 6
 
3.0%
19 6
 
3.0%
10 5
 
2.5%
Other values (24) 60
30.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 16
8.0%
3 23
11.6%
4 27
13.6%
5 21
10.6%
6 21
10.6%
7 7
 
3.5%
8 6
 
3.0%
9 7
 
3.5%
ValueCountFrequency (%)
84 1
 
0.5%
53 1
 
0.5%
37 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
30 1
 
0.5%
27 4
2.0%
26 1
 
0.5%
25 1
 
0.5%
24 3
1.5%

2.100
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.758794
Minimum0
Maximum359
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:55.174963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q313
95-th percentile38.1
Maximum359
Range359
Interquartile range (IQR)9

Descriptive statistics

Standard deviation31.968926
Coefficient of variation (CV)2.3235268
Kurtosis78.896767
Mean13.758794
Median Absolute Deviation (MAD)3
Skewness8.1958798
Sum2738
Variance1022.0122
MonotonicityNot monotonic
2023-12-10T15:28:55.370206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 27
13.6%
5 22
 
11.1%
4 22
 
11.1%
6 17
 
8.5%
7 17
 
8.5%
2 10
 
5.0%
11 8
 
4.0%
22 7
 
3.5%
17 5
 
2.5%
8 5
 
2.5%
Other values (27) 59
29.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 10
 
5.0%
3 27
13.6%
4 22
11.1%
5 22
11.1%
6 17
8.5%
7 17
8.5%
8 5
 
2.5%
9 5
 
2.5%
ValueCountFrequency (%)
359 1
 
0.5%
228 1
 
0.5%
110 1
 
0.5%
82 1
 
0.5%
76 1
 
0.5%
45 1
 
0.5%
39 4
2.0%
38 2
1.0%
35 1
 
0.5%
33 1
 
0.5%

X
Text

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-10T15:28:55.679995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length1
Mean length4.2110553
Min length1

Characters and Unicode

Total characters838
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)34.7%

Sample

1st rowB000025060
2nd rowX
3rd rowA002055896
4th rowX
5th rowB000025017
ValueCountFrequency (%)
x 128
64.3%
b000022605 2
 
1.0%
a001004096 1
 
0.5%
a000053866 1
 
0.5%
a002002773 1
 
0.5%
b000054979 1
 
0.5%
a001004335 1
 
0.5%
b000054616 1
 
0.5%
b000023839 1
 
0.5%
b000025413 1
 
0.5%
Other values (61) 61
30.7%
2023-12-10T15:28:56.206836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 296
35.3%
X 128
15.3%
2 69
 
8.2%
3 45
 
5.4%
1 43
 
5.1%
5 39
 
4.7%
B 37
 
4.4%
8 36
 
4.3%
7 34
 
4.1%
4 32
 
3.8%
Other values (4) 79
 
9.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 639
76.3%
Uppercase Letter 199
 
23.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 296
46.3%
2 69
 
10.8%
3 45
 
7.0%
1 43
 
6.7%
5 39
 
6.1%
8 36
 
5.6%
7 34
 
5.3%
4 32
 
5.0%
6 24
 
3.8%
9 21
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
X 128
64.3%
B 37
 
18.6%
A 32
 
16.1%
U 2
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 639
76.3%
Latin 199
 
23.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 296
46.3%
2 69
 
10.8%
3 45
 
7.0%
1 43
 
6.7%
5 39
 
6.1%
8 36
 
5.6%
7 34
 
5.3%
4 32
 
5.0%
6 24
 
3.8%
9 21
 
3.3%
Latin
ValueCountFrequency (%)
X 128
64.3%
B 37
 
18.6%
A 32
 
16.1%
U 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 838
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 296
35.3%
X 128
15.3%
2 69
 
8.2%
3 45
 
5.4%
1 43
 
5.1%
5 39
 
4.7%
B 37
 
4.4%
8 36
 
4.3%
7 34
 
4.1%
4 32
 
3.8%
Other values (4) 79
 
9.4%

0.40
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.70351759
Minimum0
Maximum18
Zeros104
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:56.426185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6291343
Coefficient of variation (CV)2.315698
Kurtosis68.126522
Mean0.70351759
Median Absolute Deviation (MAD)0
Skewness7.2984842
Sum140
Variance2.6540785
MonotonicityNot monotonic
2023-12-10T15:28:56.606117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 104
52.3%
1 86
43.2%
2 4
 
2.0%
7 2
 
1.0%
18 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 104
52.3%
1 86
43.2%
2 4
 
2.0%
6 1
 
0.5%
7 2
 
1.0%
8 1
 
0.5%
18 1
 
0.5%
ValueCountFrequency (%)
18 1
 
0.5%
8 1
 
0.5%
7 2
 
1.0%
6 1
 
0.5%
2 4
 
2.0%
1 86
43.2%
0 104
52.3%

2.101
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.175879
Minimum0
Maximum200
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:56.841856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q14
median7
Q311
95-th percentile28
Maximum200
Range200
Interquartile range (IQR)7

Descriptive statistics

Standard deviation18.683818
Coefficient of variation (CV)1.6717985
Kurtosis64.902851
Mean11.175879
Median Absolute Deviation (MAD)3
Skewness7.3230969
Sum2224
Variance349.08507
MonotonicityNot monotonic
2023-12-10T15:28:57.062147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 26
13.1%
8 21
10.6%
3 21
10.6%
5 18
 
9.0%
7 17
 
8.5%
6 17
 
8.5%
9 9
 
4.5%
10 7
 
3.5%
11 7
 
3.5%
14 5
 
2.5%
Other values (26) 51
25.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 5
 
2.5%
3 21
10.6%
4 26
13.1%
5 18
9.0%
6 17
8.5%
7 17
8.5%
8 21
10.6%
9 9
 
4.5%
ValueCountFrequency (%)
200 1
0.5%
143 1
0.5%
70 1
0.5%
49 1
0.5%
48 1
0.5%
34 1
0.5%
32 1
0.5%
31 1
0.5%
29 1
0.5%
28 2
1.0%

4.61
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.487437
Minimum0
Maximum61
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:57.284072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q313
95-th percentile31.1
Maximum61
Range61
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.0206605
Coefficient of variation (CV)0.7852631
Kurtosis6.7685933
Mean11.487437
Median Absolute Deviation (MAD)4
Skewness2.2508957
Sum2286
Variance81.372316
MonotonicityNot monotonic
2023-12-10T15:28:57.478330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
11 18
 
9.0%
7 16
 
8.0%
12 15
 
7.5%
5 15
 
7.5%
8 14
 
7.0%
6 13
 
6.5%
4 11
 
5.5%
13 11
 
5.5%
9 11
 
5.5%
10 11
 
5.5%
Other values (26) 64
32.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 6
 
3.0%
3 6
 
3.0%
4 11
5.5%
5 15
7.5%
6 13
6.5%
7 16
8.0%
8 14
7.0%
9 11
5.5%
ValueCountFrequency (%)
61 1
0.5%
46 1
0.5%
45 1
0.5%
44 1
0.5%
38 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%
32 2
1.0%
31 2
1.0%

31.1
Real number (ℝ)

Distinct119
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.49246
Minimum2
Maximum437
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:57.714478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile24
Q151
median85
Q3114.5
95-th percentile255.4
Maximum437
Range435
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation72.928211
Coefficient of variation (CV)0.72570827
Kurtosis4.6089715
Mean100.49246
Median Absolute Deviation (MAD)33
Skewness1.9407237
Sum19998
Variance5318.5239
MonotonicityNot monotonic
2023-12-10T15:28:58.372347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 5
 
2.5%
47 4
 
2.0%
86 4
 
2.0%
110 4
 
2.0%
81 4
 
2.0%
105 4
 
2.0%
106 3
 
1.5%
50 3
 
1.5%
98 3
 
1.5%
58 3
 
1.5%
Other values (109) 162
81.4%
ValueCountFrequency (%)
2 1
0.5%
6 1
0.5%
11 2
1.0%
14 2
1.0%
19 1
0.5%
22 1
0.5%
23 1
0.5%
24 2
1.0%
25 2
1.0%
29 1
0.5%
ValueCountFrequency (%)
437 1
0.5%
375 1
0.5%
356 1
0.5%
348 1
0.5%
343 1
0.5%
327 1
0.5%
323 1
0.5%
291 1
0.5%
282 1
0.5%
259 1
0.5%

33.4
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.37186
Minimum3
Maximum580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:58.624607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile25
Q156.5
median91
Q3120
95-th percentile286.4
Maximum580
Range577
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation85.259748
Coefficient of variation (CV)0.77954008
Kurtosis7.1517323
Mean109.37186
Median Absolute Deviation (MAD)34
Skewness2.3265176
Sum21765
Variance7269.2247
MonotonicityNot monotonic
2023-12-10T15:28:58.844549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 6
 
3.0%
60 5
 
2.5%
86 4
 
2.0%
52 4
 
2.0%
94 3
 
1.5%
51 3
 
1.5%
105 3
 
1.5%
99 3
 
1.5%
84 3
 
1.5%
104 3
 
1.5%
Other values (112) 162
81.4%
ValueCountFrequency (%)
3 1
 
0.5%
6 1
 
0.5%
12 2
1.0%
13 1
 
0.5%
15 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
25 3
1.5%
26 1
 
0.5%
27 1
 
0.5%
ValueCountFrequency (%)
580 1
0.5%
465 1
0.5%
420 1
0.5%
389 1
0.5%
378 1
0.5%
356 1
0.5%
354 1
0.5%
303 1
0.5%
294 1
0.5%
290 1
0.5%

5.25
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.954774
Minimum0
Maximum85
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:59.099770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q19.5
median16
Q326.5
95-th percentile50.1
Maximum85
Range85
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.234297
Coefficient of variation (CV)0.76344122
Kurtosis2.9706625
Mean19.954774
Median Absolute Deviation (MAD)7
Skewness1.6684429
Sum3971
Variance232.0838
MonotonicityNot monotonic
2023-12-10T15:28:59.327105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 14
 
7.0%
14 12
 
6.0%
8 11
 
5.5%
9 10
 
5.0%
18 10
 
5.0%
7 9
 
4.5%
17 8
 
4.0%
11 8
 
4.0%
12 8
 
4.0%
10 8
 
4.0%
Other values (43) 101
50.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
4 6
3.0%
5 4
 
2.0%
6 6
3.0%
7 9
4.5%
8 11
5.5%
9 10
5.0%
10 8
4.0%
ValueCountFrequency (%)
85 1
0.5%
74 1
0.5%
70 2
1.0%
67 1
0.5%
64 1
0.5%
59 1
0.5%
56 1
0.5%
53 1
0.5%
51 1
0.5%
50 1
0.5%

5.26
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.663317
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:28:59.611199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q110
median16
Q322
95-th percentile47.1
Maximum70
Range69
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.160325
Coefficient of variation (CV)0.70514396
Kurtosis2.8126759
Mean18.663317
Median Absolute Deviation (MAD)6
Skewness1.604484
Sum3714
Variance173.19415
MonotonicityNot monotonic
2023-12-10T15:28:59.877742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 17
 
8.5%
8 14
 
7.0%
6 10
 
5.0%
11 10
 
5.0%
13 10
 
5.0%
18 8
 
4.0%
19 8
 
4.0%
12 8
 
4.0%
27 7
 
3.5%
10 7
 
3.5%
Other values (40) 100
50.3%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 1
 
0.5%
4 4
 
2.0%
5 2
 
1.0%
6 10
5.0%
7 6
3.0%
8 14
7.0%
9 6
3.0%
10 7
3.5%
ValueCountFrequency (%)
70 1
0.5%
69 1
0.5%
67 1
0.5%
58 1
0.5%
55 1
0.5%
54 1
0.5%
53 1
0.5%
51 1
0.5%
49 1
0.5%
48 1
0.5%

6.36
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.21608
Minimum0
Maximum113
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:00.165789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q110
median15
Q324.5
95-th percentile54
Maximum113
Range113
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation16.800329
Coefficient of variation (CV)0.8310379
Kurtosis7.2246687
Mean20.21608
Median Absolute Deviation (MAD)6
Skewness2.3776973
Sum4023
Variance282.25105
MonotonicityNot monotonic
2023-12-10T15:29:00.419957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13
 
6.5%
10 12
 
6.0%
14 11
 
5.5%
15 10
 
5.0%
16 9
 
4.5%
18 9
 
4.5%
8 8
 
4.0%
11 8
 
4.0%
13 8
 
4.0%
7 7
 
3.5%
Other values (43) 104
52.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
3 3
 
1.5%
4 3
 
1.5%
5 4
 
2.0%
6 4
 
2.0%
7 7
3.5%
8 8
4.0%
9 13
6.5%
ValueCountFrequency (%)
113 1
0.5%
82 1
0.5%
80 1
0.5%
78 2
1.0%
74 1
0.5%
72 1
0.5%
70 1
0.5%
62 1
0.5%
54 2
1.0%
52 1
0.5%

6.37
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.80402
Minimum0
Maximum160
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:00.682654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median15
Q321
95-th percentile52.1
Maximum160
Range160
Interquartile range (IQR)11

Descriptive statistics

Standard deviation17.514692
Coefficient of variation (CV)0.93143337
Kurtosis22.991734
Mean18.80402
Median Absolute Deviation (MAD)6
Skewness3.8509753
Sum3742
Variance306.76443
MonotonicityNot monotonic
2023-12-10T15:29:00.925650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
12 13
 
6.5%
7 11
 
5.5%
18 10
 
5.0%
10 10
 
5.0%
21 9
 
4.5%
16 9
 
4.5%
15 9
 
4.5%
6 8
 
4.0%
22 8
 
4.0%
Other values (42) 98
49.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 5
2.5%
3 1
 
0.5%
4 5
2.5%
5 2
 
1.0%
6 8
4.0%
7 11
5.5%
8 8
4.0%
9 7
3.5%
ValueCountFrequency (%)
160 1
0.5%
86 1
0.5%
79 1
0.5%
77 1
0.5%
69 1
0.5%
67 1
0.5%
65 1
0.5%
61 1
0.5%
56 1
0.5%
53 1
0.5%

9.9
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.226131
Minimum1
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:01.238178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q110
median18
Q328
95-th percentile58.8
Maximum135
Range134
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.514411
Coefficient of variation (CV)0.87799408
Kurtosis8.4462498
Mean22.226131
Median Absolute Deviation (MAD)9
Skewness2.4298844
Sum4423
Variance380.81224
MonotonicityNot monotonic
2023-12-10T15:29:01.489331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 10
 
5.0%
15 10
 
5.0%
27 8
 
4.0%
25 8
 
4.0%
16 8
 
4.0%
13 8
 
4.0%
2 7
 
3.5%
5 7
 
3.5%
19 7
 
3.5%
24 7
 
3.5%
Other values (46) 119
59.8%
ValueCountFrequency (%)
1 4
 
2.0%
2 7
3.5%
3 4
 
2.0%
4 6
3.0%
5 7
3.5%
6 5
2.5%
7 3
 
1.5%
8 5
2.5%
9 5
2.5%
10 10
5.0%
ValueCountFrequency (%)
135 1
0.5%
107 1
0.5%
100 1
0.5%
84 1
0.5%
80 1
0.5%
77 1
0.5%
75 1
0.5%
73 1
0.5%
70 1
0.5%
66 1
0.5%

5.27
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.492462
Minimum0
Maximum117
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:01.700470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q110
median16
Q330
95-th percentile57.1
Maximum117
Range117
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.855342
Coefficient of variation (CV)0.83829605
Kurtosis5.6250578
Mean22.492462
Median Absolute Deviation (MAD)7
Skewness2.0901221
Sum4476
Variance355.52393
MonotonicityNot monotonic
2023-12-10T15:29:01.955537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 14
 
7.0%
16 11
 
5.5%
9 10
 
5.0%
15 10
 
5.0%
20 9
 
4.5%
8 9
 
4.5%
7 8
 
4.0%
17 7
 
3.5%
10 7
 
3.5%
11 7
 
3.5%
Other values (47) 107
53.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 3
 
1.5%
6 6
3.0%
7 8
4.0%
8 9
4.5%
9 10
5.0%
ValueCountFrequency (%)
117 1
0.5%
105 1
0.5%
95 1
0.5%
83 1
0.5%
77 2
1.0%
68 1
0.5%
67 1
0.5%
60 1
0.5%
58 1
0.5%
57 1
0.5%

0.41
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.77889447
Minimum0
Maximum21
Zeros100
Zeros (%)50.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:02.149940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8859815
Coefficient of variation (CV)2.4213568
Kurtosis71.299454
Mean0.77889447
Median Absolute Deviation (MAD)0
Skewness7.5468512
Sum155
Variance3.556926
MonotonicityNot monotonic
2023-12-10T15:29:02.316155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 100
50.3%
1 87
43.7%
2 6
 
3.0%
8 2
 
1.0%
21 1
 
0.5%
10 1
 
0.5%
3 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 100
50.3%
1 87
43.7%
2 6
 
3.0%
3 1
 
0.5%
6 1
 
0.5%
8 2
 
1.0%
10 1
 
0.5%
21 1
 
0.5%
ValueCountFrequency (%)
21 1
 
0.5%
10 1
 
0.5%
8 2
 
1.0%
6 1
 
0.5%
3 1
 
0.5%
2 6
 
3.0%
1 87
43.7%
0 100
50.3%

5.28
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.180905
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:02.524902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q19
median14
Q322
95-th percentile50.1
Maximum81
Range80
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.450803
Coefficient of variation (CV)0.79483408
Kurtosis3.4361055
Mean18.180905
Median Absolute Deviation (MAD)6
Skewness1.8090181
Sum3618
Variance208.82569
MonotonicityNot monotonic
2023-12-10T15:29:02.728359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 15
 
7.5%
14 12
 
6.0%
7 11
 
5.5%
9 11
 
5.5%
8 10
 
5.0%
15 10
 
5.0%
16 9
 
4.5%
6 7
 
3.5%
5 7
 
3.5%
17 7
 
3.5%
Other values (43) 100
50.3%
ValueCountFrequency (%)
1 3
 
1.5%
2 3
 
1.5%
3 3
 
1.5%
4 3
 
1.5%
5 7
3.5%
6 7
3.5%
7 11
5.5%
8 10
5.0%
9 11
5.5%
10 6
3.0%
ValueCountFrequency (%)
81 1
0.5%
72 1
0.5%
65 1
0.5%
64 1
0.5%
63 1
0.5%
61 1
0.5%
54 1
0.5%
53 1
0.5%
52 1
0.5%
51 1
0.5%

6.38
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.954774
Minimum0
Maximum328
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:02.941966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median15
Q324
95-th percentile61.1
Maximum328
Range328
Interquartile range (IQR)15

Descriptive statistics

Standard deviation28.743079
Coefficient of variation (CV)1.309195
Kurtosis66.137798
Mean21.954774
Median Absolute Deviation (MAD)6
Skewness6.8702003
Sum4369
Variance826.16461
MonotonicityNot monotonic
2023-12-10T15:29:03.165423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
8 12
 
6.0%
18 10
 
5.0%
10 10
 
5.0%
16 10
 
5.0%
14 9
 
4.5%
13 9
 
4.5%
15 8
 
4.0%
6 8
 
4.0%
12 7
 
3.5%
Other values (46) 102
51.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 3
 
1.5%
5 5
 
2.5%
6 8
4.0%
7 5
 
2.5%
8 12
6.0%
9 14
7.0%
ValueCountFrequency (%)
328 1
0.5%
134 1
0.5%
103 1
0.5%
95 1
0.5%
92 1
0.5%
83 1
0.5%
75 1
0.5%
68 1
0.5%
67 1
0.5%
62 1
0.5%

7.16
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.351759
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:03.374621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q111
median16
Q322.5
95-th percentile55.6
Maximum190
Range189
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation19.46395
Coefficient of variation (CV)0.95637679
Kurtosis30.347716
Mean20.351759
Median Absolute Deviation (MAD)6
Skewness4.4031435
Sum4050
Variance378.84534
MonotonicityNot monotonic
2023-12-10T15:29:03.590471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 18
 
9.0%
21 11
 
5.5%
9 10
 
5.0%
18 10
 
5.0%
10 9
 
4.5%
17 9
 
4.5%
12 9
 
4.5%
15 8
 
4.0%
19 7
 
3.5%
7 7
 
3.5%
Other values (41) 101
50.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 2
 
1.0%
4 2
 
1.0%
5 7
3.5%
6 2
 
1.0%
7 7
3.5%
8 5
2.5%
9 10
5.0%
10 9
4.5%
ValueCountFrequency (%)
190 1
0.5%
93 1
0.5%
85 1
0.5%
78 1
0.5%
71 1
0.5%
70 2
1.0%
65 1
0.5%
63 1
0.5%
61 1
0.5%
55 1
0.5%

11.8
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.869347
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:03.816600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q112
median22
Q334
95-th percentile73.6
Maximum167
Range166
Interquartile range (IQR)22

Descriptive statistics

Standard deviation23.642177
Coefficient of variation (CV)0.87989401
Kurtosis8.8582561
Mean26.869347
Median Absolute Deviation (MAD)11
Skewness2.4559913
Sum5347
Variance558.95254
MonotonicityNot monotonic
2023-12-10T15:29:04.016352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 10
 
5.0%
29 8
 
4.0%
15 8
 
4.0%
31 7
 
3.5%
6 7
 
3.5%
2 6
 
3.0%
8 6
 
3.0%
24 6
 
3.0%
18 6
 
3.0%
5 5
 
2.5%
Other values (54) 130
65.3%
ValueCountFrequency (%)
1 3
1.5%
2 6
3.0%
3 4
2.0%
4 3
1.5%
5 5
2.5%
6 7
3.5%
7 3
1.5%
8 6
3.0%
9 2
 
1.0%
10 5
2.5%
ValueCountFrequency (%)
167 1
0.5%
128 1
0.5%
123 1
0.5%
97 2
1.0%
93 1
0.5%
87 1
0.5%
86 1
0.5%
84 1
0.5%
79 1
0.5%
73 1
0.5%

18.1
Real number (ℝ)

Distinct111
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.035176
Minimum0
Maximum480
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:04.210333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q133.5
median54
Q390.5
95-th percentile220.7
Maximum480
Range480
Interquartile range (IQR)57

Descriptive statistics

Standard deviation73.095992
Coefficient of variation (CV)0.94886512
Kurtosis8.0200435
Mean77.035176
Median Absolute Deviation (MAD)24
Skewness2.534329
Sum15330
Variance5343.024
MonotonicityNot monotonic
2023-12-10T15:29:04.425286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 7
 
3.5%
51 6
 
3.0%
62 6
 
3.0%
30 5
 
2.5%
28 5
 
2.5%
54 5
 
2.5%
29 4
 
2.0%
34 4
 
2.0%
44 4
 
2.0%
35 4
 
2.0%
Other values (101) 149
74.9%
ValueCountFrequency (%)
0 1
0.5%
1 1
0.5%
3 1
0.5%
6 1
0.5%
7 1
0.5%
10 1
0.5%
12 1
0.5%
13 2
1.0%
14 2
1.0%
17 1
0.5%
ValueCountFrequency (%)
480 1
0.5%
415 1
0.5%
356 1
0.5%
345 1
0.5%
272 1
0.5%
268 1
0.5%
266 1
0.5%
264 1
0.5%
256 1
0.5%
227 1
0.5%

20.5
Real number (ℝ)

Distinct110
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.502513
Minimum0
Maximum603
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:04.652876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q135
median57
Q397
95-th percentile222.7
Maximum603
Range603
Interquartile range (IQR)62

Descriptive statistics

Standard deviation81.719641
Coefficient of variation (CV)1.0026641
Kurtosis11.795453
Mean81.502513
Median Absolute Deviation (MAD)26
Skewness2.9734414
Sum16219
Variance6678.0997
MonotonicityNot monotonic
2023-12-10T15:29:04.925931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30 6
 
3.0%
35 6
 
3.0%
54 6
 
3.0%
50 5
 
2.5%
62 5
 
2.5%
97 5
 
2.5%
61 5
 
2.5%
58 4
 
2.0%
70 4
 
2.0%
15 4
 
2.0%
Other values (100) 149
74.9%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
4 1
 
0.5%
7 2
1.0%
11 1
 
0.5%
14 1
 
0.5%
15 4
2.0%
19 1
 
0.5%
20 1
 
0.5%
21 2
1.0%
ValueCountFrequency (%)
603 1
0.5%
425 1
0.5%
416 1
0.5%
399 1
0.5%
372 1
0.5%
289 1
0.5%
286 1
0.5%
273 1
0.5%
247 1
0.5%
229 1
0.5%

3.72
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.41206
Minimum0
Maximum197
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:05.197448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q319
95-th percentile62.4
Maximum197
Range197
Interquartile range (IQR)13

Descriptive statistics

Standard deviation27.182345
Coefficient of variation (CV)1.4763337
Kurtosis19.72738
Mean18.41206
Median Absolute Deviation (MAD)4
Skewness4.0281302
Sum3664
Variance738.87985
MonotonicityNot monotonic
2023-12-10T15:29:05.433280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 18
 
9.0%
5 18
 
9.0%
7 15
 
7.5%
10 13
 
6.5%
6 13
 
6.5%
4 12
 
6.0%
8 12
 
6.0%
11 9
 
4.5%
12 7
 
3.5%
3 6
 
3.0%
Other values (43) 76
38.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 4
 
2.0%
3 6
 
3.0%
4 12
6.0%
5 18
9.0%
6 13
6.5%
7 15
7.5%
8 12
6.0%
9 18
9.0%
ValueCountFrequency (%)
197 1
0.5%
179 1
0.5%
168 1
0.5%
101 1
0.5%
100 1
0.5%
99 1
0.5%
93 1
0.5%
77 1
0.5%
66 2
1.0%
62 1
0.5%

3.73
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.356784
Minimum0
Maximum91
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:06.161876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q16
median10
Q317
95-th percentile41.1
Maximum91
Range91
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.616254
Coefficient of variation (CV)0.94841949
Kurtosis7.5093962
Mean14.356784
Median Absolute Deviation (MAD)5
Skewness2.4208898
Sum2857
Variance185.40237
MonotonicityNot monotonic
2023-12-10T15:29:06.387595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
9 19
 
9.5%
6 17
 
8.5%
8 16
 
8.0%
10 14
 
7.0%
5 13
 
6.5%
4 11
 
5.5%
11 10
 
5.0%
16 8
 
4.0%
12 8
 
4.0%
7 7
 
3.5%
Other values (36) 76
38.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 5
 
2.5%
3 5
 
2.5%
4 11
5.5%
5 13
6.5%
6 17
8.5%
7 7
 
3.5%
8 16
8.0%
9 19
9.5%
ValueCountFrequency (%)
91 1
0.5%
72 1
0.5%
64 1
0.5%
59 1
0.5%
57 1
0.5%
54 2
1.0%
44 2
1.0%
42 1
0.5%
41 1
0.5%
40 1
0.5%

4.62
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.683417
Minimum0
Maximum119
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:06.612164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q317
95-th percentile49.1
Maximum119
Range119
Interquartile range (IQR)11

Descriptive statistics

Standard deviation16.917067
Coefficient of variation (CV)1.0786595
Kurtosis11.168181
Mean15.683417
Median Absolute Deviation (MAD)5
Skewness2.9202021
Sum3121
Variance286.18715
MonotonicityNot monotonic
2023-12-10T15:29:06.883168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5 19
 
9.5%
6 15
 
7.5%
9 14
 
7.0%
11 14
 
7.0%
8 13
 
6.5%
10 12
 
6.0%
7 12
 
6.0%
17 8
 
4.0%
4 8
 
4.0%
13 6
 
3.0%
Other values (39) 78
39.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 2
 
1.0%
3 5
 
2.5%
4 8
4.0%
5 19
9.5%
6 15
7.5%
7 12
6.0%
8 13
6.5%
9 14
7.0%
ValueCountFrequency (%)
119 1
 
0.5%
101 1
 
0.5%
88 1
 
0.5%
63 1
 
0.5%
61 1
 
0.5%
57 1
 
0.5%
54 1
 
0.5%
51 2
1.0%
50 1
 
0.5%
49 3
1.5%

3.74
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.884422
Minimum0
Maximum122
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:07.149511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q315
95-th percentile39.1
Maximum122
Range122
Interquartile range (IQR)9

Descriptive statistics

Standard deviation14.490042
Coefficient of variation (CV)1.0436187
Kurtosis19.67848
Mean13.884422
Median Absolute Deviation (MAD)4
Skewness3.694972
Sum2763
Variance209.96132
MonotonicityNot monotonic
2023-12-10T15:29:07.380959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
7 23
 
11.6%
6 15
 
7.5%
13 15
 
7.5%
4 15
 
7.5%
9 14
 
7.0%
10 12
 
6.0%
11 12
 
6.0%
12 11
 
5.5%
5 9
 
4.5%
16 7
 
3.5%
Other values (34) 66
33.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 1
 
0.5%
3 5
 
2.5%
4 15
7.5%
5 9
 
4.5%
6 15
7.5%
7 23
11.6%
8 7
 
3.5%
9 14
7.0%
ValueCountFrequency (%)
122 1
0.5%
90 1
0.5%
68 1
0.5%
62 1
0.5%
50 1
0.5%
46 1
0.5%
42 1
0.5%
41 1
0.5%
40 2
1.0%
39 2
1.0%

0.42
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71356784
Minimum0
Maximum20
Zeros111
Zeros (%)55.8%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:07.576955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1.1
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9078167
Coefficient of variation (CV)2.6736304
Kurtosis61.792899
Mean0.71356784
Median Absolute Deviation (MAD)0
Skewness7.2051933
Sum142
Variance3.6397645
MonotonicityNot monotonic
2023-12-10T15:29:07.760049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 111
55.8%
1 78
39.2%
2 5
 
2.5%
20 1
 
0.5%
12 1
 
0.5%
4 1
 
0.5%
10 1
 
0.5%
8 1
 
0.5%
ValueCountFrequency (%)
0 111
55.8%
1 78
39.2%
2 5
 
2.5%
4 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
20 1
 
0.5%
ValueCountFrequency (%)
20 1
 
0.5%
12 1
 
0.5%
10 1
 
0.5%
8 1
 
0.5%
4 1
 
0.5%
2 5
 
2.5%
1 78
39.2%
0 111
55.8%

5.29
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.366834
Minimum0
Maximum79
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:07.981429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q17
median11
Q317
95-th percentile36.2
Maximum79
Range79
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.334719
Coefficient of variation (CV)0.78895039
Kurtosis7.7847029
Mean14.366834
Median Absolute Deviation (MAD)5
Skewness2.2970174
Sum2859
Variance128.47586
MonotonicityNot monotonic
2023-12-10T15:29:08.238610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
9 16
 
8.0%
6 13
 
6.5%
16 11
 
5.5%
17 11
 
5.5%
11 11
 
5.5%
8 11
 
5.5%
15 10
 
5.0%
10 10
 
5.0%
14 10
 
5.0%
4 9
 
4.5%
Other values (34) 87
43.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 4
 
2.0%
3 4
 
2.0%
4 9
4.5%
5 8
4.0%
6 13
6.5%
7 8
4.0%
8 11
5.5%
9 16
8.0%
ValueCountFrequency (%)
79 1
0.5%
63 1
0.5%
59 1
0.5%
49 1
0.5%
47 1
0.5%
45 1
0.5%
44 1
0.5%
43 1
0.5%
41 1
0.5%
38 1
0.5%

3.75
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.221106
Minimum0
Maximum277
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:08.477538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16.5
median10
Q320.5
95-th percentile67.3
Maximum277
Range277
Interquartile range (IQR)14

Descriptive statistics

Standard deviation35.55095
Coefficient of variation (CV)1.6752638
Kurtosis24.800426
Mean21.221106
Median Absolute Deviation (MAD)5
Skewness4.5674416
Sum4223
Variance1263.8701
MonotonicityNot monotonic
2023-12-10T15:29:08.700147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 19
 
9.5%
9 18
 
9.0%
5 16
 
8.0%
10 15
 
7.5%
4 14
 
7.0%
8 11
 
5.5%
6 9
 
4.5%
11 7
 
3.5%
12 7
 
3.5%
18 5
 
2.5%
Other values (44) 78
39.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 1
 
0.5%
3 5
 
2.5%
4 14
7.0%
5 16
8.0%
6 9
4.5%
7 19
9.5%
8 11
5.5%
9 18
9.0%
ValueCountFrequency (%)
277 1
0.5%
232 1
0.5%
222 1
0.5%
140 1
0.5%
139 1
0.5%
134 1
0.5%
105 1
0.5%
93 1
0.5%
74 1
0.5%
70 1
0.5%

3.76
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.120603
Minimum0
Maximum89
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:08.950104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q316
95-th percentile38
Maximum89
Range89
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.283089
Coefficient of variation (CV)0.93616801
Kurtosis8.3375136
Mean13.120603
Median Absolute Deviation (MAD)4
Skewness2.3867702
Sum2611
Variance150.87427
MonotonicityNot monotonic
2023-12-10T15:29:09.153063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
8 19
 
9.5%
7 16
 
8.0%
9 15
 
7.5%
5 15
 
7.5%
4 15
 
7.5%
6 15
 
7.5%
3 10
 
5.0%
14 9
 
4.5%
10 6
 
3.0%
11 6
 
3.0%
Other values (34) 73
36.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 2
 
1.0%
2 4
 
2.0%
3 10
5.0%
4 15
7.5%
5 15
7.5%
6 15
7.5%
7 16
8.0%
8 19
9.5%
9 15
7.5%
ValueCountFrequency (%)
89 1
0.5%
61 1
0.5%
54 1
0.5%
48 1
0.5%
44 1
0.5%
43 2
1.0%
42 2
1.0%
38 2
1.0%
37 1
0.5%
36 1
0.5%

3.77
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.110553
Minimum0
Maximum219
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:09.373908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q318
95-th percentile46
Maximum219
Range219
Interquartile range (IQR)12

Descriptive statistics

Standard deviation22.331928
Coefficient of variation (CV)1.3861677
Kurtosis38.645012
Mean16.110553
Median Absolute Deviation (MAD)4
Skewness5.2730986
Sum3206
Variance498.71499
MonotonicityNot monotonic
2023-12-10T15:29:09.588055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5 23
 
11.6%
9 15
 
7.5%
6 15
 
7.5%
7 14
 
7.0%
11 13
 
6.5%
8 13
 
6.5%
10 9
 
4.5%
4 9
 
4.5%
18 8
 
4.0%
20 7
 
3.5%
Other values (37) 73
36.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 4
 
2.0%
3 5
 
2.5%
4 9
 
4.5%
5 23
11.6%
6 15
7.5%
7 14
7.0%
8 13
6.5%
9 15
7.5%
ValueCountFrequency (%)
219 1
0.5%
123 1
0.5%
120 1
0.5%
91 1
0.5%
60 1
0.5%
56 1
0.5%
54 1
0.5%
52 1
0.5%
48 1
0.5%
46 2
1.0%

4.63
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.658291
Minimum0
Maximum147
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:09.794259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median11
Q316
95-th percentile41.1
Maximum147
Range147
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.90419
Coefficient of variation (CV)1.0849961
Kurtosis26.913456
Mean14.658291
Median Absolute Deviation (MAD)5
Skewness4.2581912
Sum2917
Variance252.94325
MonotonicityNot monotonic
2023-12-10T15:29:10.059027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
6 21
 
10.6%
7 14
 
7.0%
12 13
 
6.5%
13 12
 
6.0%
8 12
 
6.0%
10 12
 
6.0%
11 11
 
5.5%
14 11
 
5.5%
5 11
 
5.5%
16 9
 
4.5%
Other values (35) 73
36.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 1
 
0.5%
3 5
 
2.5%
4 8
 
4.0%
5 11
5.5%
6 21
10.6%
7 14
7.0%
8 12
6.0%
9 8
 
4.0%
ValueCountFrequency (%)
147 1
0.5%
85 1
0.5%
82 1
0.5%
64 1
0.5%
55 1
0.5%
47 1
0.5%
46 1
0.5%
43 1
0.5%
42 2
1.0%
41 2
1.0%

6.39
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.718593
Minimum0
Maximum98
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:10.315932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q18
median14
Q320
95-th percentile43.4
Maximum98
Range98
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.739687
Coefficient of variation (CV)0.82182077
Kurtosis8.614712
Mean16.718593
Median Absolute Deviation (MAD)6
Skewness2.4075307
Sum3327
Variance188.779
MonotonicityNot monotonic
2023-12-10T15:29:10.618197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
17 12
 
6.0%
10 11
 
5.5%
9 11
 
5.5%
19 10
 
5.0%
6 10
 
5.0%
20 8
 
4.0%
12 8
 
4.0%
18 8
 
4.0%
8 8
 
4.0%
11 8
 
4.0%
Other values (35) 105
52.8%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 4
 
2.0%
3 6
3.0%
4 6
3.0%
5 4
 
2.0%
6 10
5.0%
7 8
4.0%
8 8
4.0%
9 11
5.5%
ValueCountFrequency (%)
98 1
0.5%
75 1
0.5%
72 1
0.5%
57 2
1.0%
54 1
0.5%
51 1
0.5%
50 1
0.5%
49 1
0.5%
47 1
0.5%
43 1
0.5%

0.43
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8040201
Minimum0
Maximum20
Zeros102
Zeros (%)51.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:10.814985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0784571
Coefficient of variation (CV)2.585081
Kurtosis50.211647
Mean0.8040201
Median Absolute Deviation (MAD)0
Skewness6.6668736
Sum160
Variance4.3199838
MonotonicityNot monotonic
2023-12-10T15:29:11.010330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 102
51.3%
1 84
42.2%
2 8
 
4.0%
13 2
 
1.0%
20 1
 
0.5%
3 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 102
51.3%
1 84
42.2%
2 8
 
4.0%
3 1
 
0.5%
11 1
 
0.5%
13 2
 
1.0%
20 1
 
0.5%
ValueCountFrequency (%)
20 1
 
0.5%
13 2
 
1.0%
11 1
 
0.5%
3 1
 
0.5%
2 8
 
4.0%
1 84
42.2%
0 102
51.3%

0.44
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.72864322
Minimum0
Maximum16
Zeros95
Zeros (%)47.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:11.188887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6007365
Coefficient of variation (CV)2.1968728
Kurtosis53.867584
Mean0.72864322
Median Absolute Deviation (MAD)1
Skewness6.750273
Sum145
Variance2.5623572
MonotonicityNot monotonic
2023-12-10T15:29:11.370788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 98
49.2%
0 95
47.7%
2 2
 
1.0%
16 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 95
47.7%
1 98
49.2%
2 2
 
1.0%
7 1
 
0.5%
9 1
 
0.5%
11 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
16 1
 
0.5%
11 1
 
0.5%
9 1
 
0.5%
7 1
 
0.5%
2 2
 
1.0%
1 98
49.2%
0 95
47.7%

0.45
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.69346734
Minimum0
Maximum16
Zeros99
Zeros (%)49.7%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:11.562396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5247148
Coefficient of variation (CV)2.1986829
Kurtosis62.584122
Mean0.69346734
Median Absolute Deviation (MAD)1
Skewness7.1793378
Sum138
Variance2.3247551
MonotonicityNot monotonic
2023-12-10T15:29:11.742386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 99
49.7%
1 93
46.7%
2 3
 
1.5%
16 1
 
0.5%
5 1
 
0.5%
7 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 99
49.7%
1 93
46.7%
2 3
 
1.5%
5 1
 
0.5%
7 1
 
0.5%
11 1
 
0.5%
16 1
 
0.5%
ValueCountFrequency (%)
16 1
 
0.5%
11 1
 
0.5%
7 1
 
0.5%
5 1
 
0.5%
2 3
 
1.5%
1 93
46.7%
0 99
49.7%

0.46
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.63819095
Minimum0
Maximum12
Zeros104
Zeros (%)52.3%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:11.934489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3025805
Coefficient of variation (CV)2.0410513
Kurtosis49.712735
Mean0.63819095
Median Absolute Deviation (MAD)0
Skewness6.3620762
Sum127
Variance1.6967159
MonotonicityNot monotonic
2023-12-10T15:29:12.109418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 104
52.3%
1 88
44.2%
2 3
 
1.5%
12 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
11 1
 
0.5%
ValueCountFrequency (%)
0 104
52.3%
1 88
44.2%
2 3
 
1.5%
4 1
 
0.5%
6 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
ValueCountFrequency (%)
12 1
 
0.5%
11 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
2 3
 
1.5%
1 88
44.2%
0 104
52.3%

0.47
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
144 
1
51 
8
 
2
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row1
2nd row0
3rd row1
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 144
72.4%
1 51
 
25.6%
8 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%

Length

2023-12-10T15:29:12.321439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:12.532246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 144
72.4%
1 51
 
25.6%
8 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%

0.48
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.27135678
Minimum0
Maximum6
Zeros159
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:12.707866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7363119
Coefficient of variation (CV)2.7134457
Kurtosis29.483898
Mean0.27135678
Median Absolute Deviation (MAD)0
Skewness4.8134665
Sum54
Variance0.54215522
MonotonicityNot monotonic
2023-12-10T15:29:12.889887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 159
79.9%
1 36
 
18.1%
5 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
0 159
79.9%
1 36
 
18.1%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
ValueCountFrequency (%)
6 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
3 1
 
0.5%
1 36
 
18.1%
0 159
79.9%

0.49
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
179 
1
 
16
2
 
2
4
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 179
89.9%
1 16
 
8.0%
2 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%

Length

2023-12-10T15:29:13.154729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:13.307082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 179
89.9%
1 16
 
8.0%
2 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%

314837
Real number (ℝ)

Distinct195
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309747.25
Minimum294312
Maximum319220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:13.489210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum294312
5-th percentile295529.8
Q1299442
median313693
Q3314299
95-th percentile316437.8
Maximum319220
Range24908
Interquartile range (IQR)14857

Descriptive statistics

Standard deviation7583.39
Coefficient of variation (CV)0.024482509
Kurtosis-0.7984315
Mean309747.25
Median Absolute Deviation (MAD)1030
Skewness-1.0140892
Sum61639703
Variance57507803
MonotonicityNot monotonic
2023-12-10T15:29:13.706748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313856 3
 
1.5%
298297 2
 
1.0%
313882 2
 
1.0%
312974 1
 
0.5%
298472 1
 
0.5%
313699 1
 
0.5%
313412 1
 
0.5%
312966 1
 
0.5%
295619 1
 
0.5%
317192 1
 
0.5%
Other values (185) 185
93.0%
ValueCountFrequency (%)
294312 1
0.5%
294428 1
0.5%
294757 1
0.5%
294918 1
0.5%
294990 1
0.5%
295005 1
0.5%
295157 1
0.5%
295361 1
0.5%
295479 1
0.5%
295510 1
0.5%
ValueCountFrequency (%)
319220 1
0.5%
318719 1
0.5%
317192 1
0.5%
317117 1
0.5%
316971 1
0.5%
316970 1
0.5%
316926 1
0.5%
316851 1
0.5%
316743 1
0.5%
316535 1
0.5%

0.50
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
175 
1
20 
5
 
2
2
 
1
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row1
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 175
87.9%
1 20
 
10.1%
5 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%

Length

2023-12-10T15:29:13.896847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:14.051067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 175
87.9%
1 20
 
10.1%
5 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%

6423697
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16333144
Minimum383755
Maximum32982134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:14.243669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum383755
5-th percentile2176404
Q17204169.5
median17066995
Q324334430
95-th percentile30838854
Maximum32982134
Range32598379
Interquartile range (IQR)17130261

Descriptive statistics

Standard deviation9444757.8
Coefficient of variation (CV)0.57825718
Kurtosis-1.2773052
Mean16333144
Median Absolute Deviation (MAD)8628906
Skewness0.0095002942
Sum3.2502956 × 109
Variance8.9203449 × 1013
MonotonicityNot monotonic
2023-12-10T15:29:14.443551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23861572 1
 
0.5%
12150428 1
 
0.5%
28243062 1
 
0.5%
26716844 1
 
0.5%
21688972 1
 
0.5%
23161130 1
 
0.5%
18545773 1
 
0.5%
17245325 1
 
0.5%
21758811 1
 
0.5%
6645747 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
383755 1
0.5%
603694 1
0.5%
607440 1
0.5%
829061 1
0.5%
875400 1
0.5%
1139315 1
0.5%
1184498 1
0.5%
1185576 1
0.5%
1591526 1
0.5%
1855383 1
0.5%
ValueCountFrequency (%)
32982134 1
0.5%
32474849 1
0.5%
32439482 1
0.5%
32310329 1
0.5%
32135372 1
0.5%
31866967 1
0.5%
31845541 1
0.5%
31410219 1
0.5%
31275905 1
0.5%
30883599 1
0.5%

314791
Real number (ℝ)

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309745.88
Minimum294417
Maximum319285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:14.687870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum294417
5-th percentile295501.2
Q1299476.5
median313659
Q3314321.5
95-th percentile316398.7
Maximum319285
Range24868
Interquartile range (IQR)14845

Descriptive statistics

Standard deviation7578.5244
Coefficient of variation (CV)0.024466909
Kurtosis-0.79927391
Mean309745.88
Median Absolute Deviation (MAD)998
Skewness-1.0136317
Sum61639430
Variance57434032
MonotonicityNot monotonic
2023-12-10T15:29:14.909282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
313776 2
 
1.0%
313087 2
 
1.0%
313780 2
 
1.0%
313884 2
 
1.0%
315351 2
 
1.0%
313216 2
 
1.0%
314239 2
 
1.0%
312930 1
 
0.5%
313936 1
 
0.5%
313036 1
 
0.5%
Other values (182) 182
91.5%
ValueCountFrequency (%)
294417 1
0.5%
294472 1
0.5%
294765 1
0.5%
294939 1
0.5%
295084 1
0.5%
295086 1
0.5%
295228 1
0.5%
295344 1
0.5%
295424 1
0.5%
295485 1
0.5%
ValueCountFrequency (%)
319285 1
0.5%
318645 1
0.5%
317263 1
0.5%
317073 1
0.5%
317019 1
0.5%
317010 1
0.5%
316937 1
0.5%
316744 1
0.5%
316739 1
0.5%
316657 1
0.5%

558099
Real number (ℝ)

Distinct196
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554042.86
Minimum541668
Maximum562734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:15.591369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum541668
5-th percentile544222.2
Q1548773.5
median557630
Q3559562.5
95-th percentile560962
Maximum562734
Range21066
Interquartile range (IQR)10789

Descriptive statistics

Standard deviation6158.7901
Coefficient of variation (CV)0.01111609
Kurtosis-1.3990815
Mean554042.86
Median Absolute Deviation (MAD)4452
Skewness-0.34844294
Sum1.1025453 × 108
Variance37930695
MonotonicityNot monotonic
2023-12-10T15:29:15.809246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
552087 2
 
1.0%
560858 2
 
1.0%
548583 2
 
1.0%
560759 1
 
0.5%
558202 1
 
0.5%
559422 1
 
0.5%
559690 1
 
0.5%
552186 1
 
0.5%
542673 1
 
0.5%
559415 1
 
0.5%
Other values (186) 186
93.5%
ValueCountFrequency (%)
541668 1
0.5%
541675 1
0.5%
542260 1
0.5%
542673 1
0.5%
542716 1
0.5%
543123 1
0.5%
543952 1
0.5%
543968 1
0.5%
544002 1
0.5%
544008 1
0.5%
ValueCountFrequency (%)
562734 1
0.5%
562730 1
0.5%
562616 1
0.5%
562559 1
0.5%
562558 1
0.5%
562464 1
0.5%
562168 1
0.5%
561323 1
0.5%
561076 1
0.5%
561016 1
0.5%

191
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean719.42714
Minimum109
Maximum2538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:16.028047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile207.8
Q1348
median576
Q3921.5
95-th percentile1740.5
Maximum2538
Range2429
Interquartile range (IQR)573.5

Descriptive statistics

Standard deviation500.19754
Coefficient of variation (CV)0.695272
Kurtosis1.7344317
Mean719.42714
Median Absolute Deviation (MAD)261
Skewness1.4129768
Sum143166
Variance250197.58
MonotonicityNot monotonic
2023-12-10T15:29:16.254393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
246 3
 
1.5%
312 2
 
1.0%
581 2
 
1.0%
297 2
 
1.0%
731 2
 
1.0%
351 2
 
1.0%
788 2
 
1.0%
162 2
 
1.0%
324 2
 
1.0%
610 2
 
1.0%
Other values (174) 178
89.4%
ValueCountFrequency (%)
109 1
0.5%
123 1
0.5%
125 1
0.5%
162 2
1.0%
166 1
0.5%
181 1
0.5%
183 1
0.5%
202 1
0.5%
206 1
0.5%
208 1
0.5%
ValueCountFrequency (%)
2538 1
0.5%
2447 1
0.5%
2298 1
0.5%
2248 1
0.5%
2144 1
0.5%
1988 1
0.5%
1964 1
0.5%
1960 1
0.5%
1911 1
0.5%
1754 1
0.5%

198
Real number (ℝ)

Distinct177
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean737.49749
Minimum158
Maximum2477
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:16.507586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum158
5-th percentile236.7
Q1354.5
median592
Q3936.5
95-th percentile1952.1
Maximum2477
Range2319
Interquartile range (IQR)582

Descriptive statistics

Standard deviation509.69249
Coefficient of variation (CV)0.69111081
Kurtosis1.9477361
Mean737.49749
Median Absolute Deviation (MAD)251
Skewness1.5119965
Sum146762
Variance259786.43
MonotonicityNot monotonic
2023-12-10T15:29:16.731687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
301 3
 
1.5%
246 3
 
1.5%
309 2
 
1.0%
442 2
 
1.0%
341 2
 
1.0%
498 2
 
1.0%
627 2
 
1.0%
617 2
 
1.0%
592 2
 
1.0%
450 2
 
1.0%
Other values (167) 177
88.9%
ValueCountFrequency (%)
158 1
0.5%
161 1
0.5%
181 1
0.5%
207 1
0.5%
210 1
0.5%
224 1
0.5%
226 1
0.5%
228 1
0.5%
232 1
0.5%
234 1
0.5%
ValueCountFrequency (%)
2477 1
0.5%
2466 1
0.5%
2362 1
0.5%
2340 1
0.5%
2246 1
0.5%
2136 1
0.5%
2135 1
0.5%
2071 1
0.5%
1985 1
0.5%
1980 1
0.5%

198.1
Real number (ℝ)

Distinct174
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean742.51256
Minimum184
Maximum2507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:16.947022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum184
5-th percentile245.5
Q1360.5
median605
Q3961
95-th percentile1764.1
Maximum2507
Range2323
Interquartile range (IQR)600.5

Descriptive statistics

Standard deviation505.64663
Coefficient of variation (CV)0.68099404
Kurtosis2.2242226
Mean742.51256
Median Absolute Deviation (MAD)253
Skewness1.5491546
Sum147760
Variance255678.51
MonotonicityNot monotonic
2023-12-10T15:29:17.171999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
324 3
 
1.5%
369 2
 
1.0%
961 2
 
1.0%
507 2
 
1.0%
636 2
 
1.0%
571 2
 
1.0%
350 2
 
1.0%
723 2
 
1.0%
341 2
 
1.0%
301 2
 
1.0%
Other values (164) 178
89.4%
ValueCountFrequency (%)
184 1
0.5%
210 1
0.5%
213 1
0.5%
223 1
0.5%
228 1
0.5%
232 2
1.0%
235 1
0.5%
237 1
0.5%
241 1
0.5%
246 1
0.5%
ValueCountFrequency (%)
2507 1
0.5%
2437 1
0.5%
2417 1
0.5%
2380 1
0.5%
2350 1
0.5%
2256 1
0.5%
2165 1
0.5%
2125 1
0.5%
2019 1
0.5%
1765 1
0.5%

198.2
Real number (ℝ)

Distinct173
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean723.31156
Minimum181
Maximum2474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:17.409852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum181
5-th percentile233.8
Q1355
median596
Q3905.5
95-th percentile1863.7
Maximum2474
Range2293
Interquartile range (IQR)550.5

Descriptive statistics

Standard deviation492.72667
Coefficient of variation (CV)0.68120945
Kurtosis2.2422754
Mean723.31156
Median Absolute Deviation (MAD)252
Skewness1.5677618
Sum143939
Variance242779.57
MonotonicityNot monotonic
2023-12-10T15:29:17.626011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
246 3
 
1.5%
991 3
 
1.5%
690 3
 
1.5%
355 3
 
1.5%
353 2
 
1.0%
301 2
 
1.0%
419 2
 
1.0%
498 2
 
1.0%
627 2
 
1.0%
654 2
 
1.0%
Other values (163) 175
87.9%
ValueCountFrequency (%)
181 1
0.5%
207 1
0.5%
210 1
0.5%
212 1
0.5%
219 1
0.5%
223 1
0.5%
224 1
0.5%
228 2
1.0%
232 1
0.5%
234 1
0.5%
ValueCountFrequency (%)
2474 1
0.5%
2349 1
0.5%
2292 1
0.5%
2275 1
0.5%
2178 1
0.5%
2166 1
0.5%
2095 1
0.5%
2070 1
0.5%
2069 1
0.5%
1951 1
0.5%

193
Real number (ℝ)

Distinct180
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean771.51256
Minimum127
Maximum2745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:17.855064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127
5-th percentile245.5
Q1377.5
median638
Q3967
95-th percentile1909
Maximum2745
Range2618
Interquartile range (IQR)589.5

Descriptive statistics

Standard deviation541.25944
Coefficient of variation (CV)0.70155623
Kurtosis2.4739524
Mean771.51256
Median Absolute Deviation (MAD)290
Skewness1.6073942
Sum153531
Variance292961.79
MonotonicityNot monotonic
2023-12-10T15:29:18.088358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
315 3
 
1.5%
767 2
 
1.0%
304 2
 
1.0%
285 2
 
1.0%
572 2
 
1.0%
264 2
 
1.0%
320 2
 
1.0%
685 2
 
1.0%
676 2
 
1.0%
422 2
 
1.0%
Other values (170) 178
89.4%
ValueCountFrequency (%)
127 1
0.5%
129 1
0.5%
188 1
0.5%
195 1
0.5%
207 1
0.5%
223 1
0.5%
225 1
0.5%
231 1
0.5%
237 1
0.5%
241 1
0.5%
ValueCountFrequency (%)
2745 1
0.5%
2657 1
0.5%
2480 1
0.5%
2477 1
0.5%
2397 1
0.5%
2358 1
0.5%
2353 1
0.5%
2277 1
0.5%
2244 1
0.5%
2107 1
0.5%

185
Real number (ℝ)

Distinct178
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean778.05025
Minimum136
Maximum3856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:18.327242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136
5-th percentile224.8
Q1343.5
median601
Q3990.5
95-th percentile2095.8
Maximum3856
Range3720
Interquartile range (IQR)647

Descriptive statistics

Standard deviation623.29085
Coefficient of variation (CV)0.80109331
Kurtosis6.1741616
Mean778.05025
Median Absolute Deviation (MAD)281
Skewness2.1906929
Sum154832
Variance388491.48
MonotonicityNot monotonic
2023-12-10T15:29:18.571473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
610 4
 
2.0%
301 3
 
1.5%
275 3
 
1.5%
772 3
 
1.5%
666 2
 
1.0%
304 2
 
1.0%
346 2
 
1.0%
483 2
 
1.0%
237 2
 
1.0%
629 2
 
1.0%
Other values (168) 174
87.4%
ValueCountFrequency (%)
136 1
0.5%
139 1
0.5%
151 1
0.5%
158 1
0.5%
176 1
0.5%
185 1
0.5%
202 1
0.5%
204 1
0.5%
217 1
0.5%
223 1
0.5%
ValueCountFrequency (%)
3856 1
0.5%
3733 1
0.5%
3053 1
0.5%
2936 1
0.5%
2627 1
0.5%
2497 1
0.5%
2198 1
0.5%
2192 1
0.5%
2163 1
0.5%
2157 1
0.5%

558011
Real number (ℝ)

Distinct196
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean554038.7
Minimum541648
Maximum562797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:18.830088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum541648
5-th percentile544227.7
Q1548714.5
median557575
Q3559517
95-th percentile560946.7
Maximum562797
Range21149
Interquartile range (IQR)10802.5

Descriptive statistics

Standard deviation6160.0677
Coefficient of variation (CV)0.011118479
Kurtosis-1.4023086
Mean554038.7
Median Absolute Deviation (MAD)4264
Skewness-0.34543658
Sum1.102537 × 108
Variance37946434
MonotonicityNot monotonic
2023-12-10T15:29:19.071932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
559473 2
 
1.0%
558436 2
 
1.0%
560929 2
 
1.0%
560561 1
 
0.5%
549626 1
 
0.5%
557706 1
 
0.5%
549909 1
 
0.5%
558114 1
 
0.5%
559299 1
 
0.5%
559786 1
 
0.5%
Other values (186) 186
93.5%
ValueCountFrequency (%)
541648 1
0.5%
541669 1
0.5%
542118 1
0.5%
542723 1
0.5%
542756 1
0.5%
543105 1
0.5%
543959 1
0.5%
543983 1
0.5%
544109 1
0.5%
544144 1
0.5%
ValueCountFrequency (%)
562797 1
0.5%
562718 1
0.5%
562581 1
0.5%
562506 1
0.5%
562494 1
0.5%
562482 1
0.5%
562277 1
0.5%
561299 1
0.5%
561035 1
0.5%
560962 1
0.5%

185.1
Real number (ℝ)

Distinct175
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean673.31156
Minimum15
Maximum3382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:19.290939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile164.7
Q1329
median543
Q3820.5
95-th percentile1719.3
Maximum3382
Range3367
Interquartile range (IQR)491.5

Descriptive statistics

Standard deviation528.7588
Coefficient of variation (CV)0.78531075
Kurtosis5.9595079
Mean673.31156
Median Absolute Deviation (MAD)230
Skewness2.1684834
Sum133989
Variance279585.87
MonotonicityNot monotonic
2023-12-10T15:29:19.509738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
561 3
 
1.5%
301 3
 
1.5%
597 3
 
1.5%
346 2
 
1.0%
633 2
 
1.0%
313 2
 
1.0%
610 2
 
1.0%
139 2
 
1.0%
483 2
 
1.0%
237 2
 
1.0%
Other values (165) 176
88.4%
ValueCountFrequency (%)
15 1
0.5%
36 1
0.5%
66 1
0.5%
67 1
0.5%
131 1
0.5%
134 1
0.5%
136 1
0.5%
139 2
1.0%
144 1
0.5%
167 1
0.5%
ValueCountFrequency (%)
3382 1
0.5%
2936 1
0.5%
2606 1
0.5%
2244 1
0.5%
2231 1
0.5%
2176 1
0.5%
2131 1
0.5%
2123 1
0.5%
2015 1
0.5%
1974 1
0.5%

43
Real number (ℝ)

Distinct143
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.52764
Minimum10
Maximum443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:19.768677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile36.9
Q170
median111
Q3160
95-th percentile331.2
Maximum443
Range433
Interquartile range (IQR)90

Descriptive statistics

Standard deviation86.273631
Coefficient of variation (CV)0.66096064
Kurtosis2.4069838
Mean130.52764
Median Absolute Deviation (MAD)44
Skewness1.5355795
Sum25975
Variance7443.1394
MonotonicityNot monotonic
2023-12-10T15:29:20.007602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 4
 
2.0%
114 4
 
2.0%
66 4
 
2.0%
124 4
 
2.0%
55 3
 
1.5%
72 3
 
1.5%
111 3
 
1.5%
163 3
 
1.5%
119 3
 
1.5%
137 2
 
1.0%
Other values (133) 166
83.4%
ValueCountFrequency (%)
10 1
0.5%
11 1
0.5%
27 1
0.5%
28 2
1.0%
30 1
0.5%
32 1
0.5%
34 1
0.5%
35 1
0.5%
36 1
0.5%
37 1
0.5%
ValueCountFrequency (%)
443 1
0.5%
438 1
0.5%
437 1
0.5%
391 1
0.5%
388 1
0.5%
358 1
0.5%
353 1
0.5%
344 1
0.5%
337 1
0.5%
333 1
0.5%

19.6
Real number (ℝ)

Distinct107
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.708543
Minimum8
Maximum382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:20.225050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile21
Q133.5
median57
Q390.5
95-th percentile181.2
Maximum382
Range374
Interquartile range (IQR)57

Descriptive statistics

Standard deviation57.181224
Coefficient of variation (CV)0.78644437
Kurtosis6.4397072
Mean72.708543
Median Absolute Deviation (MAD)25
Skewness2.1929282
Sum14469
Variance3269.6924
MonotonicityNot monotonic
2023-12-10T15:29:20.467205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 6
 
3.0%
36 5
 
2.5%
30 5
 
2.5%
51 5
 
2.5%
73 5
 
2.5%
32 5
 
2.5%
63 4
 
2.0%
75 4
 
2.0%
21 4
 
2.0%
62 3
 
1.5%
Other values (97) 153
76.9%
ValueCountFrequency (%)
8 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
17 2
1.0%
18 1
 
0.5%
19 1
 
0.5%
20 1
 
0.5%
21 4
2.0%
22 2
1.0%
23 3
1.5%
ValueCountFrequency (%)
382 1
0.5%
305 1
0.5%
292 1
0.5%
281 1
0.5%
222 1
0.5%
218 1
0.5%
203 1
0.5%
200 2
1.0%
183 1
0.5%
181 1
0.5%

24
Real number (ℝ)

Distinct126
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.79397
Minimum15
Maximum894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:20.725791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile27.9
Q145
median77
Q3143.5
95-th percentile405.7
Maximum894
Range879
Interquartile range (IQR)98.5

Descriptive statistics

Standard deviation148.55119
Coefficient of variation (CV)1.1534018
Kurtosis10.861972
Mean128.79397
Median Absolute Deviation (MAD)37
Skewness3.021891
Sum25630
Variance22067.457
MonotonicityNot monotonic
2023-12-10T15:29:20.934992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 6
 
3.0%
31 5
 
2.5%
92 5
 
2.5%
38 5
 
2.5%
39 4
 
2.0%
45 4
 
2.0%
77 4
 
2.0%
71 4
 
2.0%
60 3
 
1.5%
89 3
 
1.5%
Other values (116) 156
78.4%
ValueCountFrequency (%)
15 1
 
0.5%
20 1
 
0.5%
21 1
 
0.5%
23 2
1.0%
25 1
 
0.5%
26 2
1.0%
27 2
1.0%
28 1
 
0.5%
29 3
1.5%
30 1
 
0.5%
ValueCountFrequency (%)
894 1
0.5%
887 1
0.5%
876 1
0.5%
726 1
0.5%
668 1
0.5%
546 1
0.5%
492 1
0.5%
456 1
0.5%
413 1
0.5%
412 1
0.5%

66
Real number (ℝ)

Distinct158
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean219.36683
Minimum18
Maximum868
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:21.188495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile63
Q1112
median177
Q3272
95-th percentile523.2
Maximum868
Range850
Interquartile range (IQR)160

Descriptive statistics

Standard deviation150.11807
Coefficient of variation (CV)0.68432438
Kurtosis3.4111063
Mean219.36683
Median Absolute Deviation (MAD)72
Skewness1.6709776
Sum43654
Variance22535.435
MonotonicityNot monotonic
2023-12-10T15:29:21.406204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 3
 
1.5%
214 3
 
1.5%
108 3
 
1.5%
136 2
 
1.0%
173 2
 
1.0%
120 2
 
1.0%
174 2
 
1.0%
127 2
 
1.0%
253 2
 
1.0%
212 2
 
1.0%
Other values (148) 176
88.4%
ValueCountFrequency (%)
18 1
0.5%
22 2
1.0%
43 1
0.5%
51 1
0.5%
56 1
0.5%
57 2
1.0%
61 1
0.5%
63 2
1.0%
67 1
0.5%
70 2
1.0%
ValueCountFrequency (%)
868 1
0.5%
848 1
0.5%
688 1
0.5%
680 1
0.5%
678 1
0.5%
607 1
0.5%
602 1
0.5%
555 1
0.5%
547 1
0.5%
534 1
0.5%

39
Real number (ℝ)

Distinct149
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.03015
Minimum20
Maximum823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:21.653316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile42.9
Q172
median121
Q3209
95-th percentile432.5
Maximum823
Range803
Interquartile range (IQR)137

Descriptive statistics

Standard deviation146.31355
Coefficient of variation (CV)0.87075773
Kurtosis5.3765065
Mean168.03015
Median Absolute Deviation (MAD)56
Skewness2.1847296
Sum33438
Variance21407.656
MonotonicityNot monotonic
2023-12-10T15:29:21.893122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 3
 
1.5%
101 3
 
1.5%
148 3
 
1.5%
124 3
 
1.5%
72 3
 
1.5%
71 3
 
1.5%
50 3
 
1.5%
63 3
 
1.5%
60 3
 
1.5%
297 2
 
1.0%
Other values (139) 170
85.4%
ValueCountFrequency (%)
20 1
0.5%
25 1
0.5%
33 1
0.5%
34 1
0.5%
37 2
1.0%
38 1
0.5%
41 1
0.5%
42 2
1.0%
43 1
0.5%
44 1
0.5%
ValueCountFrequency (%)
823 1
0.5%
765 1
0.5%
723 1
0.5%
705 1
0.5%
665 1
0.5%
660 1
0.5%
637 1
0.5%
560 1
0.5%
507 1
0.5%
437 1
0.5%

44
Real number (ℝ)

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.44724
Minimum26
Maximum501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:22.637724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile39.9
Q173
median110
Q3162
95-th percentile320.1
Maximum501
Range475
Interquartile range (IQR)89

Descriptive statistics

Standard deviation89.799136
Coefficient of variation (CV)0.66791359
Kurtosis3.6529656
Mean134.44724
Median Absolute Deviation (MAD)41
Skewness1.7869081
Sum26755
Variance8063.8848
MonotonicityNot monotonic
2023-12-10T15:29:22.890568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 5
 
2.5%
79 5
 
2.5%
111 4
 
2.0%
133 4
 
2.0%
99 3
 
1.5%
67 3
 
1.5%
134 3
 
1.5%
107 3
 
1.5%
100 3
 
1.5%
110 3
 
1.5%
Other values (126) 163
81.9%
ValueCountFrequency (%)
26 2
1.0%
30 1
0.5%
32 2
1.0%
35 1
0.5%
36 2
1.0%
39 2
1.0%
40 1
0.5%
44 1
0.5%
46 1
0.5%
47 1
0.5%
ValueCountFrequency (%)
501 1
0.5%
476 2
1.0%
462 1
0.5%
399 1
0.5%
388 1
0.5%
385 1
0.5%
322 1
0.5%
321 2
1.0%
320 1
0.5%
314 1
0.5%

20.6
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.889447
Minimum16
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:23.154644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile23
Q135
median58
Q389
95-th percentile200
Maximum385
Range369
Interquartile range (IQR)54

Descriptive statistics

Standard deviation59.029079
Coefficient of variation (CV)0.78821625
Kurtosis6.5995284
Mean74.889447
Median Absolute Deviation (MAD)24
Skewness2.2739041
Sum14903
Variance3484.4322
MonotonicityNot monotonic
2023-12-10T15:29:23.453543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 6
 
3.0%
31 5
 
2.5%
24 5
 
2.5%
49 5
 
2.5%
35 5
 
2.5%
45 5
 
2.5%
63 5
 
2.5%
51 4
 
2.0%
30 4
 
2.0%
36 4
 
2.0%
Other values (88) 151
75.9%
ValueCountFrequency (%)
16 2
 
1.0%
17 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
21 3
1.5%
23 3
1.5%
24 5
2.5%
25 4
2.0%
27 3
1.5%
29 3
1.5%
ValueCountFrequency (%)
385 1
0.5%
337 1
0.5%
297 1
0.5%
293 1
0.5%
229 1
0.5%
218 2
1.0%
211 1
0.5%
208 1
0.5%
200 2
1.0%
189 1
0.5%

25
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.00503
Minimum20
Maximum1005
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:23.710956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile30
Q150
median76
Q3152.5
95-th percentile466
Maximum1005
Range985
Interquartile range (IQR)102.5

Descriptive statistics

Standard deviation155.53721
Coefficient of variation (CV)1.1606819
Kurtosis11.377886
Mean134.00503
Median Absolute Deviation (MAD)35
Skewness3.0780548
Sum26667
Variance24191.823
MonotonicityNot monotonic
2023-12-10T15:29:24.001153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 5
 
2.5%
60 5
 
2.5%
75 5
 
2.5%
41 4
 
2.0%
56 4
 
2.0%
37 4
 
2.0%
63 3
 
1.5%
29 3
 
1.5%
39 3
 
1.5%
43 3
 
1.5%
Other values (112) 160
80.4%
ValueCountFrequency (%)
20 2
1.0%
23 1
 
0.5%
26 2
1.0%
28 1
 
0.5%
29 3
1.5%
30 3
1.5%
31 3
1.5%
33 1
 
0.5%
34 1
 
0.5%
36 3
1.5%
ValueCountFrequency (%)
1005 1
0.5%
936 1
0.5%
892 1
0.5%
652 1
0.5%
640 1
0.5%
593 1
0.5%
553 1
0.5%
482 1
0.5%
477 1
0.5%
466 2
1.0%

69
Real number (ℝ)

Distinct151
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean224.27136
Minimum32
Maximum838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:24.249055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile72.9
Q1118
median181
Q3268.5
95-th percentile498.2
Maximum838
Range806
Interquartile range (IQR)150.5

Descriptive statistics

Standard deviation152.38977
Coefficient of variation (CV)0.67948835
Kurtosis3.61853
Mean224.27136
Median Absolute Deviation (MAD)71
Skewness1.7911484
Sum44630
Variance23222.643
MonotonicityNot monotonic
2023-12-10T15:29:24.495288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
333 3
 
1.5%
107 3
 
1.5%
172 3
 
1.5%
104 3
 
1.5%
153 3
 
1.5%
85 3
 
1.5%
207 3
 
1.5%
197 3
 
1.5%
156 2
 
1.0%
165 2
 
1.0%
Other values (141) 171
85.9%
ValueCountFrequency (%)
32 1
0.5%
51 1
0.5%
55 1
0.5%
56 1
0.5%
61 1
0.5%
63 1
0.5%
64 1
0.5%
69 1
0.5%
70 1
0.5%
72 1
0.5%
ValueCountFrequency (%)
838 1
0.5%
807 1
0.5%
777 1
0.5%
739 2
1.0%
717 1
0.5%
619 1
0.5%
602 1
0.5%
598 1
0.5%
500 1
0.5%
498 2
1.0%

2.65
Real number (ℝ)

Distinct92
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7245226
Minimum1.14
Maximum130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:24.766160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.14
5-th percentile1.38
Q14
median5.82
Q39
95-th percentile15
Maximum130
Range128.86
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.20833
Coefficient of variation (CV)1.6285511
Kurtosis44.915481
Mean8.7245226
Median Absolute Deviation (MAD)2.18
Skewness6.3757461
Sum1736.18
Variance201.87666
MonotonicityNot monotonic
2023-12-10T15:29:25.007019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 14
 
7.0%
12.0 8
 
4.0%
9.0 7
 
3.5%
1.14 7
 
3.5%
5.37 7
 
3.5%
10.0 7
 
3.5%
4.0 6
 
3.0%
4.74 6
 
3.0%
14.0 5
 
2.5%
5.27 5
 
2.5%
Other values (82) 127
63.8%
ValueCountFrequency (%)
1.14 7
3.5%
1.32 2
 
1.0%
1.38 3
1.5%
1.54 1
 
0.5%
1.57 1
 
0.5%
1.96 1
 
0.5%
2.0 1
 
0.5%
2.53 3
1.5%
2.63 2
 
1.0%
2.65 2
 
1.0%
ValueCountFrequency (%)
130.0 1
 
0.5%
110.0 1
 
0.5%
88.0 1
 
0.5%
64.0 1
 
0.5%
56.0 1
 
0.5%
19.0 1
 
0.5%
16.0 2
 
1.0%
15.99 1
 
0.5%
15.0 3
1.5%
14.0 5
2.5%

40
Real number (ℝ)

Distinct142
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.88442
Minimum32
Maximum803
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:25.274911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile48
Q175.5
median121
Q3209.5
95-th percentile444.3
Maximum803
Range771
Interquartile range (IQR)134

Descriptive statistics

Standard deviation142.55001
Coefficient of variation (CV)0.83909998
Kurtosis4.9578751
Mean169.88442
Median Absolute Deviation (MAD)53
Skewness2.0968113
Sum33807
Variance20320.507
MonotonicityNot monotonic
2023-12-10T15:29:25.531226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 4
 
2.0%
123 4
 
2.0%
90 4
 
2.0%
72 4
 
2.0%
61 4
 
2.0%
100 3
 
1.5%
96 3
 
1.5%
66 3
 
1.5%
97 3
 
1.5%
154 3
 
1.5%
Other values (132) 164
82.4%
ValueCountFrequency (%)
32 2
1.0%
33 1
0.5%
37 1
0.5%
42 1
0.5%
43 1
0.5%
45 1
0.5%
46 1
0.5%
47 1
0.5%
48 2
1.0%
49 2
1.0%
ValueCountFrequency (%)
803 1
0.5%
762 1
0.5%
717 1
0.5%
694 1
0.5%
649 1
0.5%
586 1
0.5%
584 1
0.5%
488 1
0.5%
463 1
0.5%
456 1
0.5%

44.1
Real number (ℝ)

Distinct135
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.9196
Minimum25
Maximum559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:25.760821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile46.7
Q177.5
median110
Q3161
95-th percentile310.1
Maximum559
Range534
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation90.064699
Coefficient of variation (CV)0.66754349
Kurtosis5.0468017
Mean134.9196
Median Absolute Deviation (MAD)38
Skewness2.0029844
Sum26849
Variance8111.6501
MonotonicityNot monotonic
2023-12-10T15:29:26.004222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 4
 
2.0%
80 4
 
2.0%
161 4
 
2.0%
82 3
 
1.5%
73 3
 
1.5%
165 3
 
1.5%
81 3
 
1.5%
72 3
 
1.5%
112 3
 
1.5%
137 3
 
1.5%
Other values (125) 166
83.4%
ValueCountFrequency (%)
25 1
0.5%
31 2
1.0%
34 1
0.5%
36 1
0.5%
37 1
0.5%
38 2
1.0%
41 1
0.5%
44 1
0.5%
47 2
1.0%
50 2
1.0%
ValueCountFrequency (%)
559 1
0.5%
524 1
0.5%
474 1
0.5%
450 1
0.5%
394 1
0.5%
391 1
0.5%
343 1
0.5%
338 1
0.5%
332 1
0.5%
311 1
0.5%

20.7
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.115578
Minimum19
Maximum346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:26.244084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile24
Q137
median59
Q388.5
95-th percentile206.2
Maximum346
Range327
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation57.250219
Coefficient of variation (CV)0.76216173
Kurtosis5.3279672
Mean75.115578
Median Absolute Deviation (MAD)24
Skewness2.1274207
Sum14948
Variance3277.5876
MonotonicityNot monotonic
2023-12-10T15:29:26.464307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 6
 
3.0%
37 6
 
3.0%
51 6
 
3.0%
25 5
 
2.5%
31 5
 
2.5%
58 4
 
2.0%
49 4
 
2.0%
66 4
 
2.0%
24 4
 
2.0%
71 4
 
2.0%
Other values (90) 151
75.9%
ValueCountFrequency (%)
19 1
 
0.5%
21 3
1.5%
22 1
 
0.5%
23 2
 
1.0%
24 4
2.0%
25 5
2.5%
26 2
 
1.0%
27 3
1.5%
28 1
 
0.5%
29 3
1.5%
ValueCountFrequency (%)
346 1
0.5%
325 1
0.5%
289 1
0.5%
263 1
0.5%
256 1
0.5%
240 1
0.5%
218 1
0.5%
217 1
0.5%
211 1
0.5%
208 1
0.5%

25.1
Real number (ℝ)

Distinct125
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.82915
Minimum23
Maximum956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:26.725875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile31
Q150
median79
Q3149.5
95-th percentile456.5
Maximum956
Range933
Interquartile range (IQR)99.5

Descriptive statistics

Standard deviation151.61171
Coefficient of variation (CV)1.1244729
Kurtosis9.9629214
Mean134.82915
Median Absolute Deviation (MAD)37
Skewness2.8921078
Sum26831
Variance22986.112
MonotonicityNot monotonic
2023-12-10T15:29:26.939833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 5
 
2.5%
41 5
 
2.5%
46 4
 
2.0%
39 4
 
2.0%
61 4
 
2.0%
78 4
 
2.0%
91 4
 
2.0%
82 4
 
2.0%
72 3
 
1.5%
93 3
 
1.5%
Other values (115) 159
79.9%
ValueCountFrequency (%)
23 1
 
0.5%
26 1
 
0.5%
27 1
 
0.5%
28 1
 
0.5%
29 2
1.0%
30 3
1.5%
31 3
1.5%
32 2
1.0%
34 2
1.0%
36 2
1.0%
ValueCountFrequency (%)
956 1
0.5%
868 1
0.5%
832 1
0.5%
774 1
0.5%
587 1
0.5%
540 1
0.5%
509 1
0.5%
498 1
0.5%
485 1
0.5%
461 1
0.5%

69.1
Real number (ℝ)

Distinct148
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean222.91457
Minimum35
Maximum867
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:27.166216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile79.9
Q1119.5
median183
Q3265
95-th percentile515.9
Maximum867
Range832
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation148.41185
Coefficient of variation (CV)0.66577906
Kurtosis3.827413
Mean222.91457
Median Absolute Deviation (MAD)70
Skewness1.8134691
Sum44360
Variance22026.079
MonotonicityNot monotonic
2023-12-10T15:29:27.372347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
110 3
 
1.5%
119 3
 
1.5%
125 3
 
1.5%
165 3
 
1.5%
229 3
 
1.5%
112 3
 
1.5%
174 3
 
1.5%
250 3
 
1.5%
213 3
 
1.5%
82 2
 
1.0%
Other values (138) 170
85.4%
ValueCountFrequency (%)
35 1
0.5%
49 1
0.5%
58 1
0.5%
60 1
0.5%
61 1
0.5%
64 1
0.5%
73 1
0.5%
74 1
0.5%
77 1
0.5%
79 1
0.5%
ValueCountFrequency (%)
867 1
0.5%
813 1
0.5%
735 1
0.5%
709 1
0.5%
699 1
0.5%
687 1
0.5%
611 1
0.5%
606 1
0.5%
531 1
0.5%
524 1
0.5%

40.1
Real number (ℝ)

Distinct141
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.73367
Minimum37
Maximum870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:27.574342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37
5-th percentile50
Q175
median126
Q3210.5
95-th percentile454.5
Maximum870
Range833
Interquartile range (IQR)135.5

Descriptive statistics

Standard deviation148.49846
Coefficient of variation (CV)0.84985602
Kurtosis5.5666607
Mean174.73367
Median Absolute Deviation (MAD)56
Skewness2.1941916
Sum34772
Variance22051.792
MonotonicityNot monotonic
2023-12-10T15:29:27.767213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 5
 
2.5%
73 4
 
2.0%
102 3
 
1.5%
125 3
 
1.5%
150 3
 
1.5%
91 3
 
1.5%
136 3
 
1.5%
97 3
 
1.5%
58 3
 
1.5%
147 3
 
1.5%
Other values (131) 166
83.4%
ValueCountFrequency (%)
37 1
0.5%
43 2
1.0%
45 1
0.5%
46 1
0.5%
47 1
0.5%
48 2
1.0%
49 1
0.5%
50 2
1.0%
51 2
1.0%
52 1
0.5%
ValueCountFrequency (%)
870 1
0.5%
815 1
0.5%
769 1
0.5%
678 1
0.5%
663 1
0.5%
648 1
0.5%
546 1
0.5%
509 2
1.0%
477 1
0.5%
452 1
0.5%

44.2
Real number (ℝ)

Distinct129
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.05528
Minimum25
Maximum507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:28.070642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile46
Q172.5
median108
Q3160
95-th percentile299.4
Maximum507
Range482
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation85.951725
Coefficient of variation (CV)0.6558433
Kurtosis4.3907729
Mean131.05528
Median Absolute Deviation (MAD)40
Skewness1.8912015
Sum26080
Variance7387.6989
MonotonicityNot monotonic
2023-12-10T15:29:28.307802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 6
 
3.0%
55 4
 
2.0%
175 3
 
1.5%
103 3
 
1.5%
72 3
 
1.5%
111 3
 
1.5%
140 3
 
1.5%
123 3
 
1.5%
32 3
 
1.5%
65 3
 
1.5%
Other values (119) 165
82.9%
ValueCountFrequency (%)
25 1
 
0.5%
30 1
 
0.5%
32 3
1.5%
34 1
 
0.5%
35 1
 
0.5%
40 1
 
0.5%
43 1
 
0.5%
46 2
1.0%
47 2
1.0%
49 1
 
0.5%
ValueCountFrequency (%)
507 1
0.5%
483 1
0.5%
462 1
0.5%
435 1
0.5%
388 1
0.5%
385 1
0.5%
365 1
0.5%
326 1
0.5%
320 1
0.5%
303 1
0.5%

20.8
Real number (ℝ)

Distinct101
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.633166
Minimum18
Maximum360
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:28.548599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile23
Q135.5
median58
Q382.5
95-th percentile188.1
Maximum360
Range342
Interquartile range (IQR)47

Descriptive statistics

Standard deviation55.811652
Coefficient of variation (CV)0.76840451
Kurtosis7.1404238
Mean72.633166
Median Absolute Deviation (MAD)24
Skewness2.3524693
Sum14454
Variance3114.9405
MonotonicityNot monotonic
2023-12-10T15:29:28.788872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 6
 
3.0%
31 5
 
2.5%
33 5
 
2.5%
62 5
 
2.5%
36 5
 
2.5%
27 4
 
2.0%
58 4
 
2.0%
70 4
 
2.0%
22 4
 
2.0%
23 4
 
2.0%
Other values (91) 153
76.9%
ValueCountFrequency (%)
18 1
 
0.5%
20 1
 
0.5%
21 2
 
1.0%
22 4
2.0%
23 4
2.0%
24 3
1.5%
25 6
3.0%
26 1
 
0.5%
27 4
2.0%
29 3
1.5%
ValueCountFrequency (%)
360 1
0.5%
341 1
0.5%
290 1
0.5%
269 1
0.5%
232 1
0.5%
221 1
0.5%
211 1
0.5%
199 1
0.5%
196 1
0.5%
189 1
0.5%

25.2
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.98492
Minimum23
Maximum972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:29.050846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile29
Q149.5
median77
Q3139.5
95-th percentile401.1
Maximum972
Range949
Interquartile range (IQR)90

Descriptive statistics

Standard deviation148.40477
Coefficient of variation (CV)1.1417075
Kurtosis11.812281
Mean129.98492
Median Absolute Deviation (MAD)35
Skewness3.1123544
Sum25867
Variance22023.975
MonotonicityNot monotonic
2023-12-10T15:29:29.296558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 4
 
2.0%
72 4
 
2.0%
92 4
 
2.0%
37 4
 
2.0%
29 4
 
2.0%
53 3
 
1.5%
36 3
 
1.5%
28 3
 
1.5%
114 3
 
1.5%
75 3
 
1.5%
Other values (112) 164
82.4%
ValueCountFrequency (%)
23 1
 
0.5%
26 2
1.0%
27 1
 
0.5%
28 3
1.5%
29 4
2.0%
30 2
1.0%
31 3
1.5%
33 1
 
0.5%
34 1
 
0.5%
36 3
1.5%
ValueCountFrequency (%)
972 1
0.5%
894 1
0.5%
863 1
0.5%
688 1
0.5%
574 1
0.5%
546 1
0.5%
531 1
0.5%
460 1
0.5%
454 1
0.5%
402 1
0.5%

69.2
Real number (ℝ)

Distinct151
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.69347
Minimum28
Maximum787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:29.524891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile75.7
Q1115.5
median181
Q3266.5
95-th percentile506.1
Maximum787
Range759
Interquartile range (IQR)151

Descriptive statistics

Standard deviation142.66285
Coefficient of variation (CV)0.65533822
Kurtosis3.5756502
Mean217.69347
Median Absolute Deviation (MAD)73
Skewness1.7656828
Sum43321
Variance20352.688
MonotonicityNot monotonic
2023-12-10T15:29:29.757551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107 4
 
2.0%
123 3
 
1.5%
85 3
 
1.5%
101 3
 
1.5%
181 3
 
1.5%
140 3
 
1.5%
191 3
 
1.5%
172 3
 
1.5%
146 2
 
1.0%
122 2
 
1.0%
Other values (141) 170
85.4%
ValueCountFrequency (%)
28 1
0.5%
59 1
0.5%
60 1
0.5%
63 1
0.5%
70 1
0.5%
71 2
1.0%
72 1
0.5%
73 2
1.0%
76 1
0.5%
77 2
1.0%
ValueCountFrequency (%)
787 1
0.5%
760 1
0.5%
749 1
0.5%
716 1
0.5%
675 1
0.5%
634 1
0.5%
602 1
0.5%
598 1
0.5%
567 1
0.5%
507 1
0.5%

6.40
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.949749
Minimum2
Maximum428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:30.004495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.8
Q18
median12
Q320
95-th percentile35
Maximum428
Range426
Interquartile range (IQR)12

Descriptive statistics

Standard deviation39.871226
Coefficient of variation (CV)1.9985828
Kurtosis64.84828
Mean19.949749
Median Absolute Deviation (MAD)5
Skewness7.5152804
Sum3970
Variance1589.7146
MonotonicityNot monotonic
2023-12-10T15:29:30.771566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
8 22
 
11.1%
10 18
 
9.0%
6 17
 
8.5%
12 13
 
6.5%
9 12
 
6.0%
16 10
 
5.0%
2 10
 
5.0%
18 9
 
4.5%
15 7
 
3.5%
13 7
 
3.5%
Other values (30) 74
37.2%
ValueCountFrequency (%)
2 10
5.0%
4 5
 
2.5%
6 17
8.5%
7 1
 
0.5%
8 22
11.1%
9 12
6.0%
10 18
9.0%
11 6
 
3.0%
12 13
6.5%
13 7
 
3.5%
ValueCountFrequency (%)
428 1
0.5%
244 1
0.5%
213 1
0.5%
210 1
0.5%
85 1
0.5%
44 1
0.5%
39 1
0.5%
38 1
0.5%
36 1
0.5%
35 2
1.0%

40.2
Real number (ℝ)

Distinct147
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.94472
Minimum26
Maximum930
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:31.040431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile46.9
Q174.5
median121
Q3204
95-th percentile462.6
Maximum930
Range904
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation150.71929
Coefficient of variation (CV)0.87655666
Kurtosis5.9563934
Mean171.94472
Median Absolute Deviation (MAD)55
Skewness2.2714516
Sum34217
Variance22716.305
MonotonicityNot monotonic
2023-12-10T15:29:31.260535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 4
 
2.0%
101 3
 
1.5%
63 3
 
1.5%
50 3
 
1.5%
65 3
 
1.5%
159 3
 
1.5%
112 3
 
1.5%
139 3
 
1.5%
97 2
 
1.0%
99 2
 
1.0%
Other values (137) 170
85.4%
ValueCountFrequency (%)
26 1
0.5%
37 1
0.5%
42 1
0.5%
43 2
1.0%
44 1
0.5%
45 2
1.0%
46 2
1.0%
47 1
0.5%
48 1
0.5%
49 2
1.0%
ValueCountFrequency (%)
930 1
0.5%
752 1
0.5%
745 1
0.5%
701 1
0.5%
685 1
0.5%
646 1
0.5%
639 1
0.5%
534 1
0.5%
509 1
0.5%
468 1
0.5%

43.1
Real number (ℝ)

Distinct130
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.26633
Minimum26
Maximum612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:31.497251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile42.9
Q176
median113
Q3171
95-th percentile316.2
Maximum612
Range586
Interquartile range (IQR)95

Descriptive statistics

Standard deviation97.385905
Coefficient of variation (CV)0.69429281
Kurtosis5.7325262
Mean140.26633
Median Absolute Deviation (MAD)42
Skewness2.1062517
Sum27913
Variance9484.0146
MonotonicityNot monotonic
2023-12-10T15:29:31.780297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
85 5
 
2.5%
94 5
 
2.5%
111 4
 
2.0%
71 4
 
2.0%
70 3
 
1.5%
106 3
 
1.5%
146 3
 
1.5%
119 3
 
1.5%
76 3
 
1.5%
128 3
 
1.5%
Other values (120) 163
81.9%
ValueCountFrequency (%)
26 1
0.5%
28 1
0.5%
29 2
1.0%
30 2
1.0%
32 1
0.5%
36 2
1.0%
42 1
0.5%
43 1
0.5%
45 1
0.5%
46 1
0.5%
ValueCountFrequency (%)
612 1
0.5%
552 1
0.5%
535 1
0.5%
500 1
0.5%
421 1
0.5%
418 1
0.5%
415 1
0.5%
345 1
0.5%
321 1
0.5%
318 1
0.5%

20.9
Real number (ℝ)

Distinct107
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.78392
Minimum13
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:32.082603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile24
Q138
median60
Q394.5
95-th percentile202.9
Maximum370
Range357
Interquartile range (IQR)56.5

Descriptive statistics

Standard deviation60.610518
Coefficient of variation (CV)0.77921656
Kurtosis5.6260753
Mean77.78392
Median Absolute Deviation (MAD)25
Skewness2.1817052
Sum15479
Variance3673.6349
MonotonicityNot monotonic
2023-12-10T15:29:32.314130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 6
 
3.0%
33 5
 
2.5%
39 5
 
2.5%
51 5
 
2.5%
25 4
 
2.0%
54 4
 
2.0%
35 4
 
2.0%
43 4
 
2.0%
67 4
 
2.0%
60 4
 
2.0%
Other values (97) 154
77.4%
ValueCountFrequency (%)
13 2
1.0%
17 1
 
0.5%
19 1
 
0.5%
20 1
 
0.5%
21 1
 
0.5%
23 3
1.5%
24 2
1.0%
25 4
2.0%
26 2
1.0%
27 4
2.0%
ValueCountFrequency (%)
370 1
0.5%
346 1
0.5%
295 1
0.5%
280 1
0.5%
269 1
0.5%
253 1
0.5%
244 1
0.5%
230 1
0.5%
229 1
0.5%
211 1
0.5%

24.1
Real number (ℝ)

Distinct135
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.32663
Minimum16
Maximum1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:32.565114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile31.9
Q151.5
median84
Q3159
95-th percentile405.3
Maximum1014
Range998
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation154.63724
Coefficient of variation (CV)1.1179137
Kurtosis10.738303
Mean138.32663
Median Absolute Deviation (MAD)39
Skewness2.9732812
Sum27527
Variance23912.676
MonotonicityNot monotonic
2023-12-10T15:29:32.791825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 7
 
3.5%
67 5
 
2.5%
53 4
 
2.0%
48 4
 
2.0%
63 3
 
1.5%
88 3
 
1.5%
99 3
 
1.5%
43 3
 
1.5%
96 3
 
1.5%
64 3
 
1.5%
Other values (125) 161
80.9%
ValueCountFrequency (%)
16 2
1.0%
24 1
 
0.5%
25 1
 
0.5%
26 1
 
0.5%
28 2
1.0%
30 2
1.0%
31 1
 
0.5%
32 2
1.0%
33 3
1.5%
34 1
 
0.5%
ValueCountFrequency (%)
1014 1
0.5%
880 1
0.5%
866 1
0.5%
746 1
0.5%
652 1
0.5%
557 1
0.5%
532 1
0.5%
522 1
0.5%
482 1
0.5%
480 1
0.5%

67
Real number (ℝ)

Distinct156
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.39698
Minimum20
Maximum950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:33.017844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile76.5
Q1119.5
median185
Q3275.5
95-th percentile537.2
Maximum950
Range930
Interquartile range (IQR)156

Descriptive statistics

Standard deviation164.23221
Coefficient of variation (CV)0.7036604
Kurtosis4.7227379
Mean233.39698
Median Absolute Deviation (MAD)76
Skewness1.9682034
Sum46446
Variance26972.22
MonotonicityNot monotonic
2023-12-10T15:29:33.235284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
146 4
 
2.0%
128 3
 
1.5%
185 3
 
1.5%
105 3
 
1.5%
265 3
 
1.5%
87 3
 
1.5%
109 3
 
1.5%
104 2
 
1.0%
234 2
 
1.0%
229 2
 
1.0%
Other values (146) 171
85.9%
ValueCountFrequency (%)
20 1
0.5%
37 1
0.5%
44 1
0.5%
45 1
0.5%
48 2
1.0%
61 1
0.5%
65 1
0.5%
67 1
0.5%
72 1
0.5%
77 1
0.5%
ValueCountFrequency (%)
950 1
0.5%
903 1
0.5%
857 1
0.5%
829 1
0.5%
776 1
0.5%
765 1
0.5%
653 1
0.5%
649 1
0.5%
644 1
0.5%
557 1
0.5%

39.1
Real number (ℝ)

Distinct145
Distinct (%)72.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.73869
Minimum26
Maximum905
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:33.519789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile50.9
Q180
median125
Q3224.5
95-th percentile503.8
Maximum905
Range879
Interquartile range (IQR)144.5

Descriptive statistics

Standard deviation159.14396
Coefficient of variation (CV)0.87567461
Kurtosis5.432693
Mean181.73869
Median Absolute Deviation (MAD)56
Skewness2.1947911
Sum36166
Variance25326.8
MonotonicityNot monotonic
2023-12-10T15:29:33.783778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 4
 
2.0%
65 4
 
2.0%
81 3
 
1.5%
116 3
 
1.5%
51 3
 
1.5%
54 3
 
1.5%
80 3
 
1.5%
120 3
 
1.5%
133 3
 
1.5%
64 3
 
1.5%
Other values (135) 167
83.9%
ValueCountFrequency (%)
26 2
1.0%
38 1
 
0.5%
40 1
 
0.5%
42 1
 
0.5%
45 1
 
0.5%
46 1
 
0.5%
48 1
 
0.5%
49 1
 
0.5%
50 1
 
0.5%
51 3
1.5%
ValueCountFrequency (%)
905 1
0.5%
900 1
0.5%
783 1
0.5%
740 1
0.5%
675 1
0.5%
659 1
0.5%
603 1
0.5%
557 1
0.5%
524 1
0.5%
511 1
0.5%

41.1
Real number (ℝ)

Distinct134
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.21106
Minimum30
Maximum681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:34.145467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile36.8
Q171
median108
Q3163
95-th percentile378
Maximum681
Range651
Interquartile range (IQR)92

Descriptive statistics

Standard deviation110.09438
Coefficient of variation (CV)0.77964423
Kurtosis5.6858529
Mean141.21106
Median Absolute Deviation (MAD)42
Skewness2.2072667
Sum28101
Variance12120.773
MonotonicityNot monotonic
2023-12-10T15:29:34.408529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
106 4
 
2.0%
67 4
 
2.0%
136 4
 
2.0%
77 4
 
2.0%
64 3
 
1.5%
99 3
 
1.5%
81 3
 
1.5%
61 3
 
1.5%
53 3
 
1.5%
32 3
 
1.5%
Other values (124) 165
82.9%
ValueCountFrequency (%)
30 2
1.0%
31 3
1.5%
32 3
1.5%
34 1
 
0.5%
35 1
 
0.5%
37 1
 
0.5%
39 1
 
0.5%
41 1
 
0.5%
42 1
 
0.5%
43 1
 
0.5%
ValueCountFrequency (%)
681 1
0.5%
586 1
0.5%
537 1
0.5%
490 1
0.5%
489 1
0.5%
482 1
0.5%
481 1
0.5%
466 1
0.5%
460 1
0.5%
387 1
0.5%

19.7
Real number (ℝ)

Distinct107
Distinct (%)53.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.286432
Minimum14
Maximum626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:34.670252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile22.9
Q135
median61
Q395
95-th percentile213.7
Maximum626
Range612
Interquartile range (IQR)60

Descriptive statistics

Standard deviation72.375587
Coefficient of variation (CV)0.91283698
Kurtosis19.910188
Mean79.286432
Median Absolute Deviation (MAD)29
Skewness3.5971511
Sum15778
Variance5238.2256
MonotonicityNot monotonic
2023-12-10T15:29:34.914150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 6
 
3.0%
29 5
 
2.5%
24 5
 
2.5%
35 5
 
2.5%
61 4
 
2.0%
30 4
 
2.0%
39 4
 
2.0%
28 4
 
2.0%
62 4
 
2.0%
23 4
 
2.0%
Other values (97) 154
77.4%
ValueCountFrequency (%)
14 2
 
1.0%
15 1
 
0.5%
16 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 1
 
0.5%
21 2
 
1.0%
22 1
 
0.5%
23 4
2.0%
24 5
2.5%
ValueCountFrequency (%)
626 1
0.5%
464 1
0.5%
311 1
0.5%
271 1
0.5%
268 1
0.5%
233 1
0.5%
224 2
1.0%
221 1
0.5%
220 1
0.5%
213 1
0.5%

23.4
Real number (ℝ)

Distinct135
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.8995
Minimum17
Maximum1567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:35.188708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile28
Q149.5
median79
Q3156
95-th percentile406
Maximum1567
Range1550
Interquartile range (IQR)106.5

Descriptive statistics

Standard deviation174.46301
Coefficient of variation (CV)1.2470596
Kurtosis27.731888
Mean139.8995
Median Absolute Deviation (MAD)41
Skewness4.3867818
Sum27840
Variance30437.343
MonotonicityNot monotonic
2023-12-10T15:29:35.426571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 5
 
2.5%
61 4
 
2.0%
77 4
 
2.0%
70 4
 
2.0%
43 4
 
2.0%
30 4
 
2.0%
38 4
 
2.0%
125 3
 
1.5%
44 3
 
1.5%
64 3
 
1.5%
Other values (125) 161
80.9%
ValueCountFrequency (%)
17 1
0.5%
18 1
0.5%
19 1
0.5%
20 1
0.5%
22 1
0.5%
23 1
0.5%
25 1
0.5%
26 1
0.5%
27 1
0.5%
28 2
1.0%
ValueCountFrequency (%)
1567 1
0.5%
1137 1
0.5%
742 1
0.5%
697 1
0.5%
552 1
0.5%
476 1
0.5%
468 1
0.5%
455 1
0.5%
443 1
0.5%
433 1
0.5%

64.1
Real number (ℝ)

Distinct162
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.15075
Minimum47
Maximum1056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:29:35.679121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47
5-th percentile70.9
Q1116.5
median191
Q3296
95-th percentile605.2
Maximum1056
Range1009
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation178.18872
Coefficient of variation (CV)0.75137319
Kurtosis5.120323
Mean237.15075
Median Absolute Deviation (MAD)82
Skewness2.0552488
Sum47193
Variance31751.22
MonotonicityNot monotonic
2023-12-10T15:29:35.900971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82 5
 
2.5%
211 5
 
2.5%
119 3
 
1.5%
167 3
 
1.5%
79 3
 
1.5%
104 3
 
1.5%
246 2
 
1.0%
98 2
 
1.0%
112 2
 
1.0%
61 2
 
1.0%
Other values (152) 169
84.9%
ValueCountFrequency (%)
47 1
0.5%
48 1
0.5%
52 1
0.5%
55 1
0.5%
57 1
0.5%
61 2
1.0%
64 1
0.5%
69 1
0.5%
70 1
0.5%
71 1
0.5%
ValueCountFrequency (%)
1056 1
0.5%
1030 1
0.5%
909 1
0.5%
761 1
0.5%
758 1
0.5%
748 1
0.5%
746 1
0.5%
723 1
0.5%
713 1
0.5%
643 1
0.5%

Sample

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