Overview

Dataset statistics

Number of variables467
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory816.9 KiB
Average record size in memory4.1 KiB

Variable types

Numeric467

Alerts

14251761 has unique valuesUnique
26.5 has 2 (1.0%) zerosZeros
12.14 has 2 (1.0%) zerosZeros
12.16 has 2 (1.0%) zerosZeros
12.17 has 3 (1.5%) zerosZeros
16.8 has 2 (1.0%) zerosZeros
22.7 has 6 (3.0%) zerosZeros
11.20 has 2 (1.0%) zerosZeros
11.21 has 2 (1.0%) zerosZeros
14.10 has 2 (1.0%) zerosZeros
16.9 has 3 (1.5%) zerosZeros
26.6 has 9 (4.5%) zerosZeros
5.11 has 4 (2.0%) zerosZeros
5.12 has 3 (1.5%) zerosZeros
7.23 has 3 (1.5%) zerosZeros
7.24 has 4 (2.0%) zerosZeros
10.15 has 7 (3.5%) zerosZeros
5.13 has 3 (1.5%) zerosZeros
5.14 has 3 (1.5%) zerosZeros
6.17 has 2 (1.0%) zerosZeros
7.25 has 5 (2.5%) zerosZeros
12.18 has 8 (4.0%) zerosZeros
43.1 has 2 (1.0%) zerosZeros
44.1 has 2 (1.0%) zerosZeros
7.26 has 5 (2.5%) zerosZeros
7.27 has 4 (2.0%) zerosZeros
8.17 has 3 (1.5%) zerosZeros
9.9 has 4 (2.0%) zerosZeros
12.19 has 3 (1.5%) zerosZeros
6.18 has 4 (2.0%) zerosZeros
6.19 has 3 (1.5%) zerosZeros
87.1 has 2 (1.0%) zerosZeros
8.18 has 3 (1.5%) zerosZeros
9.10 has 4 (2.0%) zerosZeros
15.18 has 3 (1.5%) zerosZeros
119.1 has 2 (1.0%) zerosZeros
120.1 has 2 (1.0%) zerosZeros
19.8 has 2 (1.0%) zerosZeros
18.7 has 2 (1.0%) zerosZeros
22.8 has 2 (1.0%) zerosZeros
25.7 has 2 (1.0%) zerosZeros
34.1 has 3 (1.5%) zerosZeros
239.1 has 2 (1.0%) zerosZeros
17.9 has 2 (1.0%) zerosZeros
17.10 has 2 (1.0%) zerosZeros
22.9 has 2 (1.0%) zerosZeros
25.8 has 2 (1.0%) zerosZeros
40.1 has 2 (1.0%) zerosZeros
70.4 has 2 (1.0%) zerosZeros
70.5 has 2 (1.0%) zerosZeros
11.22 has 3 (1.5%) zerosZeros
11.23 has 4 (2.0%) zerosZeros
13.16 has 2 (1.0%) zerosZeros
140.1 has 2 (1.0%) zerosZeros
15.19 has 4 (2.0%) zerosZeros
20.2 has 6 (3.0%) zerosZeros
10.16 has 3 (1.5%) zerosZeros
10.17 has 4 (2.0%) zerosZeros
13.17 has 3 (1.5%) zerosZeros
14.11 has 5 (2.5%) zerosZeros
24.5 has 7 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-10 06:22:21.923125
Analysis finished2023-12-10 06:22:27.128734
Duration5.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

14251761
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16956314
Minimum22536
Maximum32887566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:27.310826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22536
5-th percentile2030129.6
Q19507114.5
median17109254
Q324846896
95-th percentile31770635
Maximum32887566
Range32865030
Interquartile range (IQR)15339782

Descriptive statistics

Standard deviation9440720.2
Coefficient of variation (CV)0.55676725
Kurtosis-1.1626227
Mean16956314
Median Absolute Deviation (MAD)7806406
Skewness-0.033923394
Sum3.3743065 × 109
Variance8.9127198 × 1013
MonotonicityNot monotonic
2023-12-10T15:22:27.632530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8837661 1
 
0.5%
21814371 1
 
0.5%
22562321 1
 
0.5%
19974859 1
 
0.5%
7002308 1
 
0.5%
19123344 1
 
0.5%
30918809 1
 
0.5%
7987942 1
 
0.5%
20153257 1
 
0.5%
17155687 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
22536 1
0.5%
111894 1
0.5%
113422 1
0.5%
246343 1
0.5%
514088 1
0.5%
1229115 1
0.5%
1721293 1
0.5%
1766543 1
0.5%
1771365 1
0.5%
1949153 1
0.5%
ValueCountFrequency (%)
32887566 1
0.5%
32603972 1
0.5%
32561739 1
0.5%
32381194 1
0.5%
32246774 1
0.5%
32213300 1
0.5%
32169617 1
0.5%
32000480 1
0.5%
31997245 1
0.5%
31896069 1
0.5%

313696
Real number (ℝ)

Distinct197
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309441.83
Minimum292439
Maximum321159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:27.878043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum292439
5-th percentile295277.6
Q1298749.5
median314096
Q3315570
95-th percentile317916.6
Maximum321159
Range28720
Interquartile range (IQR)16820.5

Descriptive statistics

Standard deviation8686.1488
Coefficient of variation (CV)0.028070377
Kurtosis-1.2933003
Mean309441.83
Median Absolute Deviation (MAD)2251
Skewness-0.69330864
Sum61578925
Variance75449181
MonotonicityNot monotonic
2023-12-10T15:22:28.132866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
314242 2
 
1.0%
313858 2
 
1.0%
297302 1
 
0.5%
314759 1
 
0.5%
316482 1
 
0.5%
295640 1
 
0.5%
297911 1
 
0.5%
316819 1
 
0.5%
314737 1
 
0.5%
295378 1
 
0.5%
Other values (187) 187
94.0%
ValueCountFrequency (%)
292439 1
0.5%
292714 1
0.5%
293700 1
0.5%
294168 1
0.5%
294177 1
0.5%
294385 1
0.5%
295063 1
0.5%
295117 1
0.5%
295124 1
0.5%
295139 1
0.5%
ValueCountFrequency (%)
321159 1
0.5%
320722 1
0.5%
320646 1
0.5%
320365 1
0.5%
320327 1
0.5%
319685 1
0.5%
319370 1
0.5%
318985 1
0.5%
318930 1
0.5%
318840 1
0.5%

690
Real number (ℝ)

Distinct176
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean875.69347
Minimum44
Maximum3942
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:28.380346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile249.5
Q1413
median699
Q31157.5
95-th percentile2105.1
Maximum3942
Range3898
Interquartile range (IQR)744.5

Descriptive statistics

Standard deviation648.35226
Coefficient of variation (CV)0.74038722
Kurtosis4.3598861
Mean875.69347
Median Absolute Deviation (MAD)347
Skewness1.8115099
Sum174263
Variance420360.65
MonotonicityNot monotonic
2023-12-10T15:22:28.751457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295 3
 
1.5%
448 3
 
1.5%
434 2
 
1.0%
261 2
 
1.0%
514 2
 
1.0%
719 2
 
1.0%
386 2
 
1.0%
474 2
 
1.0%
861 2
 
1.0%
413 2
 
1.0%
Other values (166) 177
88.9%
ValueCountFrequency (%)
44 1
0.5%
78 1
0.5%
126 1
0.5%
188 2
1.0%
203 1
0.5%
207 1
0.5%
212 1
0.5%
225 1
0.5%
227 1
0.5%
252 1
0.5%
ValueCountFrequency (%)
3942 1
0.5%
3676 1
0.5%
3209 1
0.5%
2825 1
0.5%
2702 1
0.5%
2529 1
0.5%
2433 1
0.5%
2346 1
0.5%
2211 1
0.5%
2133 1
0.5%

15
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.386935
Minimum3
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:29.097316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17.5
median12
Q317.5
95-th percentile36
Maximum89
Range86
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.225409
Coefficient of variation (CV)0.79453184
Kurtosis10.864321
Mean15.386935
Median Absolute Deviation (MAD)5
Skewness2.8226752
Sum3062
Variance149.46064
MonotonicityNot monotonic
2023-12-10T15:22:29.320878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 17
 
8.5%
14 17
 
8.5%
7 15
 
7.5%
11 14
 
7.0%
5 12
 
6.0%
9 11
 
5.5%
15 11
 
5.5%
10 9
 
4.5%
12 9
 
4.5%
8 7
 
3.5%
Other values (28) 77
38.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 12
6.0%
6 17
8.5%
7 15
7.5%
8 7
3.5%
9 11
5.5%
10 9
4.5%
11 14
7.0%
12 9
4.5%
ValueCountFrequency (%)
89 1
 
0.5%
72 1
 
0.5%
71 1
 
0.5%
55 2
1.0%
53 1
 
0.5%
50 1
 
0.5%
37 1
 
0.5%
36 3
1.5%
34 1
 
0.5%
33 2
1.0%

21
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.135678
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:29.544747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median11
Q319
95-th percentile28
Maximum44
Range43
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.3161449
Coefficient of variation (CV)0.63309596
Kurtosis1.2384401
Mean13.135678
Median Absolute Deviation (MAD)5
Skewness1.1032503
Sum2614
Variance69.158266
MonotonicityNot monotonic
2023-12-10T15:22:29.746601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
9 15
 
7.5%
8 14
 
7.0%
4 13
 
6.5%
20 13
 
6.5%
6 12
 
6.0%
10 12
 
6.0%
12 11
 
5.5%
7 10
 
5.0%
15 8
 
4.0%
5 8
 
4.0%
Other values (25) 83
41.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 5
 
2.5%
3 6
 
3.0%
4 13
6.5%
5 8
4.0%
6 12
6.0%
7 10
5.0%
8 14
7.0%
9 15
7.5%
10 12
6.0%
ValueCountFrequency (%)
44 1
 
0.5%
40 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
33 2
1.0%
32 2
1.0%
28 2
1.0%
27 2
1.0%
26 3
1.5%

10
Real number (ℝ)

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.356784
Minimum3
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:30.055289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18.5
median16
Q337.5
95-th percentile106.5
Maximum250
Range247
Interquartile range (IQR)29

Descriptive statistics

Standard deviation39.440255
Coefficient of variation (CV)1.2577902
Kurtosis9.5277431
Mean31.356784
Median Absolute Deviation (MAD)9
Skewness2.8023968
Sum6240
Variance1555.5337
MonotonicityNot monotonic
2023-12-10T15:22:30.305996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 12
 
6.0%
9 11
 
5.5%
6 11
 
5.5%
7 10
 
5.0%
10 9
 
4.5%
8 9
 
4.5%
15 9
 
4.5%
11 7
 
3.5%
4 6
 
3.0%
20 6
 
3.0%
Other values (59) 109
54.8%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
3.0%
5 12
6.0%
6 11
5.5%
7 10
5.0%
8 9
4.5%
9 11
5.5%
10 9
4.5%
11 7
3.5%
12 4
 
2.0%
ValueCountFrequency (%)
250 1
0.5%
217 1
0.5%
213 1
0.5%
179 1
0.5%
142 1
0.5%
141 1
0.5%
131 1
0.5%
127 1
0.5%
126 1
0.5%
120 1
0.5%

10.1
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.693467
Minimum3
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:30.534031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median14
Q326
95-th percentile52.1
Maximum121
Range118
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.819848
Coefficient of variation (CV)0.90486086
Kurtosis7.4129365
Mean19.693467
Median Absolute Deviation (MAD)7
Skewness2.3609337
Sum3919
Variance317.54698
MonotonicityNot monotonic
2023-12-10T15:22:30.774842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 11
 
5.5%
14 11
 
5.5%
10 11
 
5.5%
6 11
 
5.5%
11 10
 
5.0%
5 10
 
5.0%
9 10
 
5.0%
4 9
 
4.5%
7 9
 
4.5%
17 8
 
4.0%
Other values (41) 99
49.7%
ValueCountFrequency (%)
3 3
 
1.5%
4 9
4.5%
5 10
5.0%
6 11
5.5%
7 9
4.5%
8 11
5.5%
9 10
5.0%
10 11
5.5%
11 10
5.0%
12 7
3.5%
ValueCountFrequency (%)
121 1
0.5%
89 1
0.5%
86 1
0.5%
78 1
0.5%
77 1
0.5%
73 1
0.5%
72 1
0.5%
66 1
0.5%
60 1
0.5%
53 1
0.5%

13
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.748744
Minimum3
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:31.021325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median14
Q326
95-th percentile66.4
Maximum198
Range195
Interquartile range (IQR)17

Descriptive statistics

Standard deviation25.761674
Coefficient of variation (CV)1.1324438
Kurtosis17.570533
Mean22.748744
Median Absolute Deviation (MAD)7
Skewness3.6278219
Sum4527
Variance663.66382
MonotonicityNot monotonic
2023-12-10T15:22:31.251884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 13
 
6.5%
5 13
 
6.5%
9 10
 
5.0%
7 10
 
5.0%
14 10
 
5.0%
11 9
 
4.5%
12 9
 
4.5%
6 8
 
4.0%
8 7
 
3.5%
16 7
 
3.5%
Other values (48) 103
51.8%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 13
6.5%
6 8
4.0%
7 10
5.0%
8 7
3.5%
9 10
5.0%
10 13
6.5%
11 9
4.5%
12 9
4.5%
ValueCountFrequency (%)
198 1
0.5%
174 1
0.5%
122 1
0.5%
112 1
0.5%
102 1
0.5%
90 1
0.5%
85 1
0.5%
77 1
0.5%
74 1
0.5%
70 1
0.5%

15.1
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.01005
Minimum2
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:31.823955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q318.5
95-th percentile45.5
Maximum114
Range112
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation15.576138
Coefficient of variation (CV)0.91570203
Kurtosis14.184558
Mean17.01005
Median Absolute Deviation (MAD)5
Skewness3.2742947
Sum3385
Variance242.61606
MonotonicityNot monotonic
2023-12-10T15:22:32.041394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7 18
 
9.0%
6 13
 
6.5%
11 12
 
6.0%
15 12
 
6.0%
9 11
 
5.5%
10 11
 
5.5%
5 10
 
5.0%
8 10
 
5.0%
16 10
 
5.0%
13 9
 
4.5%
Other values (33) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
4 3
 
1.5%
5 10
5.0%
6 13
6.5%
7 18
9.0%
8 10
5.0%
9 11
5.5%
10 11
5.5%
11 12
6.0%
12 6
 
3.0%
ValueCountFrequency (%)
114 1
0.5%
108 1
0.5%
74 1
0.5%
69 1
0.5%
64 1
0.5%
60 1
0.5%
57 2
1.0%
53 1
0.5%
50 1
0.5%
45 1
0.5%

25
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.055276
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:32.302847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17.5
median12
Q322
95-th percentile32
Maximum47
Range46
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation9.8063039
Coefficient of variation (CV)0.65135329
Kurtosis0.54040073
Mean15.055276
Median Absolute Deviation (MAD)6
Skewness0.93332689
Sum2996
Variance96.163596
MonotonicityNot monotonic
2023-12-10T15:22:32.514227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
11 14
 
7.0%
9 12
 
6.0%
12 11
 
5.5%
7 11
 
5.5%
3 10
 
5.0%
10 9
 
4.5%
4 9
 
4.5%
5 9
 
4.5%
24 9
 
4.5%
17 8
 
4.0%
Other values (30) 97
48.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 10
5.0%
4 9
4.5%
5 9
4.5%
6 6
3.0%
7 11
5.5%
8 7
3.5%
9 12
6.0%
10 9
4.5%
ValueCountFrequency (%)
47 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
39 1
 
0.5%
38 2
1.0%
33 1
 
0.5%
32 3
1.5%
31 1
 
0.5%

79
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.065327
Minimum14
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:32.748157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile22.9
Q140
median61
Q392.5
95-th percentile136.1
Maximum231
Range217
Interquartile range (IQR)52.5

Descriptive statistics

Standard deviation38.291951
Coefficient of variation (CV)0.55443089
Kurtosis1.868412
Mean69.065327
Median Absolute Deviation (MAD)24
Skewness1.1399152
Sum13744
Variance1466.2735
MonotonicityNot monotonic
2023-12-10T15:22:32.975703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 6
 
3.0%
40 6
 
3.0%
41 5
 
2.5%
44 4
 
2.0%
57 4
 
2.0%
66 4
 
2.0%
54 4
 
2.0%
33 4
 
2.0%
42 3
 
1.5%
23 3
 
1.5%
Other values (90) 156
78.4%
ValueCountFrequency (%)
14 1
 
0.5%
15 1
 
0.5%
16 2
1.0%
17 2
1.0%
19 2
1.0%
21 1
 
0.5%
22 1
 
0.5%
23 3
1.5%
24 2
1.0%
25 2
1.0%
ValueCountFrequency (%)
231 1
0.5%
214 1
0.5%
198 1
0.5%
161 1
0.5%
154 1
0.5%
147 1
0.5%
145 1
0.5%
141 1
0.5%
137 2
1.0%
136 1
0.5%

80
Real number (ℝ)

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.442211
Minimum11
Maximum272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:33.187434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21
Q143
median65
Q3100.5
95-th percentile153.1
Maximum272
Range261
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation43.257923
Coefficient of variation (CV)0.58109401
Kurtosis2.1356823
Mean74.442211
Median Absolute Deviation (MAD)26
Skewness1.1980132
Sum14814
Variance1871.2479
MonotonicityNot monotonic
2023-12-10T15:22:33.444947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 5
 
2.5%
83 5
 
2.5%
45 5
 
2.5%
76 4
 
2.0%
36 4
 
2.0%
65 4
 
2.0%
56 4
 
2.0%
23 3
 
1.5%
108 3
 
1.5%
61 3
 
1.5%
Other values (95) 159
79.9%
ValueCountFrequency (%)
11 1
 
0.5%
12 1
 
0.5%
16 1
 
0.5%
17 3
1.5%
18 1
 
0.5%
19 1
 
0.5%
21 3
1.5%
23 3
1.5%
24 2
1.0%
26 2
1.0%
ValueCountFrequency (%)
272 1
0.5%
230 1
0.5%
199 1
0.5%
181 2
1.0%
176 1
0.5%
161 1
0.5%
157 1
0.5%
156 1
0.5%
154 1
0.5%
153 1
0.5%

12
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.899497
Minimum2
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:33.665132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q17
median12
Q319
95-th percentile34.2
Maximum49
Range47
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.490024
Coefficient of variation (CV)0.63693584
Kurtosis1.5071026
Mean14.899497
Median Absolute Deviation (MAD)6
Skewness1.2883114
Sum2965
Variance90.060555
MonotonicityNot monotonic
2023-12-10T15:22:33.946253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 16
 
8.0%
6 15
 
7.5%
7 14
 
7.0%
12 12
 
6.0%
10 12
 
6.0%
9 11
 
5.5%
11 10
 
5.0%
15 10
 
5.0%
19 8
 
4.0%
8 7
 
3.5%
Other values (27) 84
42.2%
ValueCountFrequency (%)
2 1
 
0.5%
4 5
 
2.5%
5 16
8.0%
6 15
7.5%
7 14
7.0%
8 7
3.5%
9 11
5.5%
10 12
6.0%
11 10
5.0%
12 12
6.0%
ValueCountFrequency (%)
49 1
 
0.5%
48 1
 
0.5%
45 2
1.0%
38 1
 
0.5%
37 3
1.5%
36 2
1.0%
34 2
1.0%
33 2
1.0%
32 1
 
0.5%
31 2
1.0%

690.1
Real number (ℝ)

Distinct176
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean714.66332
Minimum4
Maximum3928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:34.181518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile118
Q1329
median504
Q3921.5
95-th percentile1938.3
Maximum3928
Range3924
Interquartile range (IQR)592.5

Descriptive statistics

Standard deviation584.68031
Coefficient of variation (CV)0.81811994
Kurtosis5.1332082
Mean714.66332
Median Absolute Deviation (MAD)235
Skewness1.9119818
Sum142218
Variance341851.06
MonotonicityNot monotonic
2023-12-10T15:22:34.438646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
197 3
 
1.5%
351 3
 
1.5%
350 3
 
1.5%
434 2
 
1.0%
413 2
 
1.0%
203 2
 
1.0%
118 2
 
1.0%
861 2
 
1.0%
719 2
 
1.0%
426 2
 
1.0%
Other values (166) 176
88.4%
ValueCountFrequency (%)
4 1
0.5%
21 1
0.5%
49 1
0.5%
50 1
0.5%
75 1
0.5%
79 1
0.5%
82 1
0.5%
91 1
0.5%
99 1
0.5%
118 2
1.0%
ValueCountFrequency (%)
3928 1
0.5%
2688 1
0.5%
2485 1
0.5%
2412 1
0.5%
2318 1
0.5%
2214 1
0.5%
2172 1
0.5%
2170 1
0.5%
2139 1
0.5%
2049 1
0.5%

12.1
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.025126
Minimum3
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:34.661528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median11
Q319
95-th percentile33
Maximum67
Range64
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.9608786
Coefficient of variation (CV)0.6389161
Kurtosis5.6719362
Mean14.025126
Median Absolute Deviation (MAD)5
Skewness1.7603201
Sum2791
Variance80.297345
MonotonicityNot monotonic
2023-12-10T15:22:34.883885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
10 17
 
8.5%
5 14
 
7.0%
9 13
 
6.5%
6 12
 
6.0%
11 12
 
6.0%
7 12
 
6.0%
14 11
 
5.5%
8 9
 
4.5%
12 8
 
4.0%
13 8
 
4.0%
Other values (25) 83
41.7%
ValueCountFrequency (%)
3 5
 
2.5%
4 6
 
3.0%
5 14
7.0%
6 12
6.0%
7 12
6.0%
8 9
4.5%
9 13
6.5%
10 17
8.5%
11 12
6.0%
12 8
4.0%
ValueCountFrequency (%)
67 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
36 1
 
0.5%
35 2
1.0%
34 3
1.5%
33 2
1.0%
31 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%

15.2
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.211055
Minimum3
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:35.143832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median13
Q320
95-th percentile37
Maximum52
Range49
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.6486603
Coefficient of variation (CV)0.63431893
Kurtosis1.5820458
Mean15.211055
Median Absolute Deviation (MAD)6
Skewness1.3442844
Sum3027
Variance93.096645
MonotonicityNot monotonic
2023-12-10T15:22:35.491866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 18
 
9.0%
14 15
 
7.5%
8 14
 
7.0%
13 13
 
6.5%
6 12
 
6.0%
10 11
 
5.5%
9 11
 
5.5%
20 11
 
5.5%
11 8
 
4.0%
5 6
 
3.0%
Other values (30) 80
40.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
 
3.0%
5 6
 
3.0%
6 12
6.0%
7 18
9.0%
8 14
7.0%
9 11
5.5%
10 11
5.5%
11 8
4.0%
12 6
 
3.0%
ValueCountFrequency (%)
52 1
 
0.5%
48 1
 
0.5%
42 2
1.0%
41 1
 
0.5%
39 1
 
0.5%
38 3
1.5%
37 3
1.5%
36 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%

17
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.085427
Minimum2
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:35.778316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q316
95-th percentile27
Maximum43
Range41
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.3104145
Coefficient of variation (CV)0.60489501
Kurtosis1.7264924
Mean12.085427
Median Absolute Deviation (MAD)4
Skewness1.1921825
Sum2405
Variance53.44216
MonotonicityNot monotonic
2023-12-10T15:22:36.048169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7 27
 
13.6%
16 13
 
6.5%
5 13
 
6.5%
10 12
 
6.0%
6 11
 
5.5%
11 11
 
5.5%
8 11
 
5.5%
13 9
 
4.5%
4 9
 
4.5%
3 8
 
4.0%
Other values (20) 75
37.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 8
 
4.0%
4 9
 
4.5%
5 13
6.5%
6 11
5.5%
7 27
13.6%
8 11
5.5%
9 7
 
3.5%
10 12
6.0%
11 11
5.5%
ValueCountFrequency (%)
43 1
 
0.5%
38 1
 
0.5%
35 1
 
0.5%
29 3
1.5%
28 3
1.5%
27 2
1.0%
26 1
 
0.5%
24 4
2.0%
23 3
1.5%
22 3
1.5%

23
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.547739
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:36.333368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14.5
median10
Q317.5
95-th percentile30
Maximum65
Range64
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.053718
Coefficient of variation (CV)0.80123747
Kurtosis3.6973556
Mean12.547739
Median Absolute Deviation (MAD)6
Skewness1.5037419
Sum2497
Variance101.07725
MonotonicityNot monotonic
2023-12-10T15:22:36.592231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2 18
 
9.0%
3 17
 
8.5%
11 12
 
6.0%
10 12
 
6.0%
8 10
 
5.0%
4 9
 
4.5%
12 9
 
4.5%
7 9
 
4.5%
5 8
 
4.0%
22 8
 
4.0%
Other values (26) 87
43.7%
ValueCountFrequency (%)
1 6
 
3.0%
2 18
9.0%
3 17
8.5%
4 9
4.5%
5 8
4.0%
6 6
 
3.0%
7 9
4.5%
8 10
5.0%
9 7
 
3.5%
10 12
6.0%
ValueCountFrequency (%)
65 1
 
0.5%
48 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
38 1
 
0.5%
33 3
1.5%
30 4
2.0%
29 1
 
0.5%
28 1
 
0.5%
27 4
2.0%

11
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.592965
Minimum3
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:36.852034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q326
95-th percentile53.2
Maximum87
Range84
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.871473
Coefficient of variation (CV)0.81928336
Kurtosis2.9152314
Mean20.592965
Median Absolute Deviation (MAD)8
Skewness1.6914626
Sum4098
Variance284.64662
MonotonicityNot monotonic
2023-12-10T15:22:37.151349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 13
 
6.5%
7 12
 
6.0%
11 12
 
6.0%
6 12
 
6.0%
10 11
 
5.5%
9 10
 
5.0%
17 8
 
4.0%
5 8
 
4.0%
12 8
 
4.0%
16 7
 
3.5%
Other values (46) 98
49.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 3
 
1.5%
5 8
4.0%
6 12
6.0%
7 12
6.0%
8 13
6.5%
9 10
5.0%
10 11
5.5%
11 12
6.0%
12 8
4.0%
ValueCountFrequency (%)
87 1
0.5%
86 1
0.5%
84 1
0.5%
74 1
0.5%
68 1
0.5%
67 1
0.5%
62 1
0.5%
59 1
0.5%
58 1
0.5%
55 1
0.5%

11.1
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.407035
Minimum2
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:37.437566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q319.5
95-th percentile33.1
Maximum69
Range67
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation10.282384
Coefficient of variation (CV)0.71370578
Kurtosis3.6346031
Mean14.407035
Median Absolute Deviation (MAD)5
Skewness1.5837601
Sum2867
Variance105.72743
MonotonicityNot monotonic
2023-12-10T15:22:37.990812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 19
 
9.5%
7 14
 
7.0%
10 14
 
7.0%
13 14
 
7.0%
9 13
 
6.5%
14 12
 
6.0%
8 10
 
5.0%
6 9
 
4.5%
4 8
 
4.0%
11 8
 
4.0%
Other values (28) 78
39.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 8
4.0%
5 19
9.5%
6 9
4.5%
7 14
7.0%
8 10
5.0%
9 13
6.5%
10 14
7.0%
11 8
4.0%
ValueCountFrequency (%)
69 1
 
0.5%
47 1
 
0.5%
44 1
 
0.5%
38 2
 
1.0%
37 2
 
1.0%
35 1
 
0.5%
34 2
 
1.0%
33 1
 
0.5%
32 4
2.0%
31 7
3.5%

14
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.371859
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:38.290926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q318
95-th percentile38.1
Maximum62
Range61
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.477123
Coefficient of variation (CV)0.72900264
Kurtosis3.276696
Mean14.371859
Median Absolute Deviation (MAD)5
Skewness1.71961
Sum2860
Variance109.77011
MonotonicityNot monotonic
2023-12-10T15:22:38.541052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10 17
 
8.5%
8 15
 
7.5%
5 15
 
7.5%
6 14
 
7.0%
13 13
 
6.5%
11 11
 
5.5%
7 11
 
5.5%
14 10
 
5.0%
9 9
 
4.5%
18 8
 
4.0%
Other values (34) 76
38.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 4
 
2.0%
4 5
 
2.5%
5 15
7.5%
6 14
7.0%
7 11
5.5%
8 15
7.5%
9 9
4.5%
10 17
8.5%
ValueCountFrequency (%)
62 1
0.5%
52 1
0.5%
50 1
0.5%
44 1
0.5%
43 1
0.5%
42 1
0.5%
41 2
1.0%
39 2
1.0%
38 1
0.5%
37 1
0.5%

16
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.427136
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:38.761802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q315
95-th percentile26.1
Maximum46
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.8350074
Coefficient of variation (CV)0.68564928
Kurtosis3.3268439
Mean11.427136
Median Absolute Deviation (MAD)4
Skewness1.5416852
Sum2274
Variance61.387341
MonotonicityNot monotonic
2023-12-10T15:22:38.974620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 22
 
11.1%
7 20
 
10.1%
8 14
 
7.0%
9 12
 
6.0%
12 10
 
5.0%
17 10
 
5.0%
4 9
 
4.5%
3 9
 
4.5%
10 9
 
4.5%
14 8
 
4.0%
Other values (23) 76
38.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 9
4.5%
4 9
4.5%
5 22
11.1%
6 8
 
4.0%
7 20
10.1%
8 14
7.0%
9 12
6.0%
10 9
4.5%
ValueCountFrequency (%)
46 1
 
0.5%
44 1
 
0.5%
41 1
 
0.5%
33 1
 
0.5%
31 2
1.0%
29 1
 
0.5%
28 1
 
0.5%
27 2
1.0%
26 1
 
0.5%
24 3
1.5%

27
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.030151
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:39.184647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median12
Q321.5
95-th percentile35.1
Maximum80
Range79
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation12.564544
Coefficient of variation (CV)0.89553879
Kurtosis3.3445446
Mean14.030151
Median Absolute Deviation (MAD)9
Skewness1.4035553
Sum2792
Variance157.86777
MonotonicityNot monotonic
2023-12-10T15:22:39.399534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2 24
 
12.1%
1 18
 
9.0%
3 13
 
6.5%
12 10
 
5.0%
4 8
 
4.0%
8 8
 
4.0%
13 7
 
3.5%
10 6
 
3.0%
27 6
 
3.0%
5 6
 
3.0%
Other values (34) 93
46.7%
ValueCountFrequency (%)
1 18
9.0%
2 24
12.1%
3 13
6.5%
4 8
 
4.0%
5 6
 
3.0%
6 4
 
2.0%
7 3
 
1.5%
8 8
 
4.0%
9 5
 
2.5%
10 6
 
3.0%
ValueCountFrequency (%)
80 1
0.5%
53 1
0.5%
52 1
0.5%
50 1
0.5%
43 1
0.5%
40 1
0.5%
38 1
0.5%
37 1
0.5%
36 2
1.0%
35 1
0.5%

36
Real number (ℝ)

Distinct79
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.241206
Minimum7
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:39.704155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q121
median35
Q356.5
95-th percentile107
Maximum258
Range251
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation36.744574
Coefficient of variation (CV)0.79462837
Kurtosis9.148059
Mean46.241206
Median Absolute Deviation (MAD)16
Skewness2.4600281
Sum9202
Variance1350.1637
MonotonicityNot monotonic
2023-12-10T15:22:39.942970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 7
 
3.5%
18 7
 
3.5%
25 6
 
3.0%
35 6
 
3.0%
30 6
 
3.0%
49 6
 
3.0%
16 6
 
3.0%
20 5
 
2.5%
37 5
 
2.5%
45 5
 
2.5%
Other values (69) 140
70.4%
ValueCountFrequency (%)
7 1
 
0.5%
10 2
 
1.0%
11 3
1.5%
12 2
 
1.0%
13 3
1.5%
14 3
1.5%
15 4
2.0%
16 6
3.0%
17 5
2.5%
18 7
3.5%
ValueCountFrequency (%)
258 1
0.5%
241 1
0.5%
164 1
0.5%
162 1
0.5%
156 1
0.5%
130 1
0.5%
117 1
0.5%
111 2
1.0%
107 2
1.0%
106 2
1.0%

160
Real number (ℝ)

Distinct146
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.69849
Minimum23
Maximum421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:40.222141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile42
Q180.5
median120
Q3181
95-th percentile281.7
Maximum421
Range398
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation75.58011
Coefficient of variation (CV)0.54888117
Kurtosis0.602617
Mean137.69849
Median Absolute Deviation (MAD)48
Skewness0.90584961
Sum27402
Variance5712.3531
MonotonicityNot monotonic
2023-12-10T15:22:40.482453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 4
 
2.0%
147 4
 
2.0%
40 4
 
2.0%
112 3
 
1.5%
95 3
 
1.5%
72 3
 
1.5%
42 3
 
1.5%
142 3
 
1.5%
84 3
 
1.5%
110 3
 
1.5%
Other values (136) 166
83.4%
ValueCountFrequency (%)
23 1
 
0.5%
28 1
 
0.5%
33 1
 
0.5%
34 1
 
0.5%
40 4
2.0%
41 1
 
0.5%
42 3
1.5%
43 1
 
0.5%
45 1
 
0.5%
46 1
 
0.5%
ValueCountFrequency (%)
421 1
0.5%
358 1
0.5%
349 1
0.5%
330 1
0.5%
323 1
0.5%
303 1
0.5%
301 1
0.5%
295 1
0.5%
293 1
0.5%
288 1
0.5%

37
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.79397
Minimum7
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:40.730086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q123
median38
Q362
95-th percentile158.8
Maximum336
Range329
Interquartile range (IQR)39

Descriptive statistics

Standard deviation50.895742
Coefficient of variation (CV)0.91220865
Kurtosis6.8767853
Mean55.79397
Median Absolute Deviation (MAD)18
Skewness2.325054
Sum11103
Variance2590.3765
MonotonicityNot monotonic
2023-12-10T15:22:40.990773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 9
 
4.5%
26 6
 
3.0%
21 6
 
3.0%
19 6
 
3.0%
57 6
 
3.0%
38 5
 
2.5%
24 5
 
2.5%
14 5
 
2.5%
16 5
 
2.5%
17 5
 
2.5%
Other values (81) 141
70.9%
ValueCountFrequency (%)
7 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
11 1
 
0.5%
12 2
 
1.0%
14 5
2.5%
15 2
 
1.0%
16 5
2.5%
17 5
2.5%
18 2
 
1.0%
ValueCountFrequency (%)
336 1
0.5%
285 1
0.5%
230 1
0.5%
203 1
0.5%
202 1
0.5%
196 1
0.5%
180 1
0.5%
169 1
0.5%
166 2
1.0%
158 1
0.5%

6
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4070352
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:41.219974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q311
95-th percentile28.1
Maximum67
Range66
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.1860759
Coefficient of variation (CV)0.97651127
Kurtosis8.9612789
Mean9.4070352
Median Absolute Deviation (MAD)3
Skewness2.5290679
Sum1872
Variance84.383991
MonotonicityNot monotonic
2023-12-10T15:22:41.460004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 30
15.1%
4 23
11.6%
6 21
10.6%
2 17
 
8.5%
7 14
 
7.0%
5 14
 
7.0%
9 10
 
5.0%
8 9
 
4.5%
13 7
 
3.5%
17 6
 
3.0%
Other values (25) 48
24.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 17
8.5%
3 30
15.1%
4 23
11.6%
5 14
7.0%
6 21
10.6%
7 14
7.0%
8 9
 
4.5%
9 10
 
5.0%
10 6
 
3.0%
ValueCountFrequency (%)
67 1
0.5%
43 1
0.5%
40 1
0.5%
36 1
0.5%
35 2
1.0%
34 2
1.0%
30 1
0.5%
29 1
0.5%
28 1
0.5%
27 1
0.5%

6.1
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6482412
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:41.712607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q312
95-th percentile27.1
Maximum65
Range64
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.0339922
Coefficient of variation (CV)0.93633565
Kurtosis9.8681331
Mean9.6482412
Median Absolute Deviation (MAD)3
Skewness2.6488272
Sum1920
Variance81.613015
MonotonicityNot monotonic
2023-12-10T15:22:42.050588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 28
14.1%
5 24
12.1%
4 19
 
9.5%
6 17
 
8.5%
7 15
 
7.5%
9 14
 
7.0%
2 11
 
5.5%
11 9
 
4.5%
12 7
 
3.5%
18 6
 
3.0%
Other values (25) 49
24.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
 
5.5%
3 28
14.1%
4 19
9.5%
5 24
12.1%
6 17
8.5%
7 15
7.5%
8 6
 
3.0%
9 14
7.0%
10 4
 
2.0%
ValueCountFrequency (%)
65 1
0.5%
53 1
0.5%
40 1
0.5%
39 1
0.5%
36 1
0.5%
33 1
0.5%
31 1
0.5%
30 1
0.5%
29 1
0.5%
28 1
0.5%

7
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.155779
Minimum2
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:42.262120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q314
95-th percentile30
Maximum85
Range83
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.174504
Coefficient of variation (CV)1.0016786
Kurtosis14.563779
Mean11.155779
Median Absolute Deviation (MAD)3
Skewness3.2136378
Sum2220
Variance124.86955
MonotonicityNot monotonic
2023-12-10T15:22:42.520570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 26
13.1%
4 24
 
12.1%
3 20
 
10.1%
5 16
 
8.0%
9 10
 
5.0%
7 9
 
4.5%
10 9
 
4.5%
8 8
 
4.0%
12 8
 
4.0%
2 7
 
3.5%
Other values (25) 62
31.2%
ValueCountFrequency (%)
2 7
 
3.5%
3 20
10.1%
4 24
12.1%
5 16
8.0%
6 26
13.1%
7 9
 
4.5%
8 8
 
4.0%
9 10
 
5.0%
10 9
 
4.5%
11 7
 
3.5%
ValueCountFrequency (%)
85 1
0.5%
71 1
0.5%
58 1
0.5%
47 1
0.5%
44 1
0.5%
43 1
0.5%
32 1
0.5%
31 2
1.0%
30 2
1.0%
28 1
0.5%

8
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0552764
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:42.753281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q310
95-th percentile19.1
Maximum49
Range48
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.2942943
Coefficient of variation (CV)0.78138776
Kurtosis11.671152
Mean8.0552764
Median Absolute Deviation (MAD)3
Skewness2.7569102
Sum1603
Variance39.618141
MonotonicityNot monotonic
2023-12-10T15:22:43.322019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 30
15.1%
5 20
10.1%
6 20
10.1%
4 20
10.1%
8 17
8.5%
7 14
 
7.0%
9 12
 
6.0%
10 10
 
5.0%
2 9
 
4.5%
11 9
 
4.5%
Other values (17) 38
19.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 9
 
4.5%
3 30
15.1%
4 20
10.1%
5 20
10.1%
6 20
10.1%
7 14
7.0%
8 17
8.5%
9 12
 
6.0%
10 10
 
5.0%
ValueCountFrequency (%)
49 1
0.5%
37 1
0.5%
33 1
0.5%
27 1
0.5%
26 1
0.5%
24 1
0.5%
22 1
0.5%
21 2
1.0%
20 1
0.5%
19 2
1.0%

10.2
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8241206
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:43.532959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q310
95-th percentile17.1
Maximum30
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6530343
Coefficient of variation (CV)0.59470381
Kurtosis2.8955916
Mean7.8241206
Median Absolute Deviation (MAD)3
Skewness1.3732142
Sum1557
Variance21.650728
MonotonicityNot monotonic
2023-12-10T15:22:43.763996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 29
14.6%
3 21
10.6%
7 20
10.1%
6 19
9.5%
8 15
7.5%
10 15
7.5%
11 13
 
6.5%
4 13
 
6.5%
9 9
 
4.5%
12 9
 
4.5%
Other values (12) 36
18.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 6
 
3.0%
3 21
10.6%
4 13
6.5%
5 29
14.6%
6 19
9.5%
7 20
10.1%
8 15
7.5%
9 9
 
4.5%
10 15
7.5%
ValueCountFrequency (%)
30 1
 
0.5%
24 1
 
0.5%
22 1
 
0.5%
20 2
 
1.0%
19 3
1.5%
18 2
 
1.0%
17 2
 
1.0%
15 3
1.5%
14 6
3.0%
13 4
2.0%

5
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.577889
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:43.993262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q314
95-th percentile63.8
Maximum120
Range119
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.440474
Coefficient of variation (CV)1.3335589
Kurtosis7.2329552
Mean14.577889
Median Absolute Deviation (MAD)4
Skewness2.6233129
Sum2901
Variance377.93203
MonotonicityNot monotonic
2023-12-10T15:22:44.215298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3 28
14.1%
4 20
 
10.1%
5 20
 
10.1%
8 14
 
7.0%
6 13
 
6.5%
2 11
 
5.5%
11 11
 
5.5%
7 9
 
4.5%
12 7
 
3.5%
14 6
 
3.0%
Other values (36) 60
30.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
 
5.5%
3 28
14.1%
4 20
10.1%
5 20
10.1%
6 13
6.5%
7 9
 
4.5%
8 14
7.0%
9 6
 
3.0%
10 3
 
1.5%
ValueCountFrequency (%)
120 1
0.5%
90 1
0.5%
79 1
0.5%
76 1
0.5%
75 1
0.5%
73 2
1.0%
72 2
1.0%
71 1
0.5%
63 1
0.5%
59 2
1.0%

5.1
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.296482
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:44.431802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q313.5
95-th percentile35
Maximum78
Range77
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation12.335689
Coefficient of variation (CV)1.0919938
Kurtosis8.8813205
Mean11.296482
Median Absolute Deviation (MAD)3
Skewness2.7183741
Sum2248
Variance152.16923
MonotonicityNot monotonic
2023-12-10T15:22:44.656237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 24
12.1%
4 21
 
10.6%
6 20
 
10.1%
5 20
 
10.1%
2 13
 
6.5%
11 10
 
5.0%
10 10
 
5.0%
9 9
 
4.5%
8 8
 
4.0%
15 7
 
3.5%
Other values (30) 57
28.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 13
6.5%
3 24
12.1%
4 21
10.6%
5 20
10.1%
6 20
10.1%
7 5
 
2.5%
8 8
 
4.0%
9 9
 
4.5%
10 10
5.0%
ValueCountFrequency (%)
78 1
 
0.5%
68 1
 
0.5%
65 1
 
0.5%
59 1
 
0.5%
54 1
 
0.5%
47 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
38 1
 
0.5%
35 3
1.5%

7.1
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.015075
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:44.891114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q15
median8
Q314
95-th percentile38
Maximum110
Range109
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.326315
Coefficient of variation (CV)1.1091329
Kurtosis18.517916
Mean12.015075
Median Absolute Deviation (MAD)4
Skewness3.5984681
Sum2391
Variance177.59068
MonotonicityNot monotonic
2023-12-10T15:22:45.136768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6 21
 
10.6%
3 20
 
10.1%
5 20
 
10.1%
4 17
 
8.5%
8 13
 
6.5%
7 10
 
5.0%
2 9
 
4.5%
14 9
 
4.5%
13 8
 
4.0%
11 8
 
4.0%
Other values (30) 64
32.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 9
4.5%
3 20
10.1%
4 17
8.5%
5 20
10.1%
6 21
10.6%
7 10
5.0%
8 13
6.5%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
110 1
0.5%
77 1
0.5%
70 1
0.5%
52 1
0.5%
46 1
0.5%
43 1
0.5%
42 1
0.5%
40 1
0.5%
39 1
0.5%
38 2
1.0%

8.1
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9246231
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:45.332968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median7
Q310
95-th percentile22.1
Maximum62
Range61
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.5758352
Coefficient of variation (CV)0.84886893
Kurtosis14.643555
Mean8.9246231
Median Absolute Deviation (MAD)3
Skewness3.1056737
Sum1776
Variance57.39328
MonotonicityNot monotonic
2023-12-10T15:22:45.520327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 24
12.1%
6 22
11.1%
4 19
9.5%
5 18
9.0%
10 17
8.5%
8 16
 
8.0%
7 15
 
7.5%
9 10
 
5.0%
2 8
 
4.0%
12 8
 
4.0%
Other values (19) 42
21.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 8
 
4.0%
3 24
12.1%
4 19
9.5%
5 18
9.0%
6 22
11.1%
7 15
7.5%
8 16
8.0%
9 10
5.0%
10 17
8.5%
ValueCountFrequency (%)
62 1
0.5%
44 1
0.5%
35 1
0.5%
33 1
0.5%
32 1
0.5%
28 1
0.5%
27 1
0.5%
26 1
0.5%
23 2
1.0%
22 1
0.5%

73
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean98.984925
Minimum17
Maximum738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:45.768089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile27.9
Q140
median74
Q3121
95-th percentile253.1
Maximum738
Range721
Interquartile range (IQR)81

Descriptive statistics

Standard deviation89.855298
Coefficient of variation (CV)0.9077675
Kurtosis14.672393
Mean98.984925
Median Absolute Deviation (MAD)36
Skewness3.0396173
Sum19698
Variance8073.9745
MonotonicityNot monotonic
2023-12-10T15:22:45.980927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 7
 
3.5%
35 5
 
2.5%
40 4
 
2.0%
51 4
 
2.0%
78 4
 
2.0%
85 3
 
1.5%
31 3
 
1.5%
33 3
 
1.5%
34 3
 
1.5%
68 3
 
1.5%
Other values (112) 160
80.4%
ValueCountFrequency (%)
17 1
 
0.5%
19 2
1.0%
21 1
 
0.5%
22 1
 
0.5%
24 2
1.0%
26 2
1.0%
27 1
 
0.5%
28 1
 
0.5%
29 2
1.0%
30 3
1.5%
ValueCountFrequency (%)
738 1
0.5%
506 1
0.5%
414 1
0.5%
327 1
0.5%
326 1
0.5%
318 1
0.5%
304 1
0.5%
297 1
0.5%
271 1
0.5%
263 1
0.5%

12.2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1457286
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:46.150639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q312
95-th percentile20
Maximum37
Range36
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6491592
Coefficient of variation (CV)0.61768279
Kurtosis3.1654033
Mean9.1457286
Median Absolute Deviation (MAD)3
Skewness1.397286
Sum1820
Variance31.912999
MonotonicityNot monotonic
2023-12-10T15:22:46.355748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6 26
13.1%
5 19
 
9.5%
4 17
 
8.5%
8 14
 
7.0%
9 13
 
6.5%
10 13
 
6.5%
12 13
 
6.5%
7 13
 
6.5%
14 9
 
4.5%
13 9
 
4.5%
Other values (14) 53
26.6%
ValueCountFrequency (%)
1 7
 
3.5%
2 5
 
2.5%
3 7
 
3.5%
4 17
8.5%
5 19
9.5%
6 26
13.1%
7 13
6.5%
8 14
7.0%
9 13
6.5%
10 13
6.5%
ValueCountFrequency (%)
37 1
 
0.5%
29 1
 
0.5%
24 4
2.0%
23 2
 
1.0%
22 1
 
0.5%
20 2
 
1.0%
18 3
1.5%
17 5
2.5%
16 4
2.0%
15 5
2.5%

45
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.61809
Minimum9
Maximum509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:46.554281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19
Q131
median55
Q3132
95-th percentile312.2
Maximum509
Range500
Interquartile range (IQR)101

Descriptive statistics

Standard deviation101.65601
Coefficient of variation (CV)1.0521426
Kurtosis3.4006765
Mean96.61809
Median Absolute Deviation (MAD)30
Skewness1.9120391
Sum19227
Variance10333.944
MonotonicityNot monotonic
2023-12-10T15:22:46.785646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 7
 
3.5%
19 6
 
3.0%
37 6
 
3.0%
60 5
 
2.5%
43 5
 
2.5%
32 4
 
2.0%
28 4
 
2.0%
55 4
 
2.0%
53 4
 
2.0%
21 4
 
2.0%
Other values (104) 150
75.4%
ValueCountFrequency (%)
9 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
16 2
 
1.0%
17 2
 
1.0%
18 1
 
0.5%
19 6
3.0%
20 2
 
1.0%
21 4
2.0%
22 3
1.5%
ValueCountFrequency (%)
509 1
0.5%
462 1
0.5%
450 2
1.0%
433 1
0.5%
382 1
0.5%
381 1
0.5%
361 1
0.5%
351 1
0.5%
341 1
0.5%
309 1
0.5%

45.1
Real number (ℝ)

Distinct125
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.83417
Minimum10
Maximum774
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:46.983772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile19
Q132
median61
Q3164
95-th percentile413.1
Maximum774
Range764
Interquartile range (IQR)132

Descriptive statistics

Standard deviation136.2992
Coefficient of variation (CV)1.1279856
Kurtosis3.8233574
Mean120.83417
Median Absolute Deviation (MAD)35
Skewness1.9268448
Sum24046
Variance18577.472
MonotonicityNot monotonic
2023-12-10T15:22:47.282238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 6
 
3.0%
23 5
 
2.5%
47 5
 
2.5%
25 4
 
2.0%
26 4
 
2.0%
24 4
 
2.0%
21 4
 
2.0%
70 4
 
2.0%
58 3
 
1.5%
28 3
 
1.5%
Other values (115) 157
78.9%
ValueCountFrequency (%)
10 1
 
0.5%
13 1
 
0.5%
15 2
 
1.0%
17 2
 
1.0%
18 3
1.5%
19 2
 
1.0%
20 2
 
1.0%
21 4
2.0%
22 3
1.5%
23 5
2.5%
ValueCountFrequency (%)
774 1
0.5%
651 1
0.5%
591 1
0.5%
494 1
0.5%
447 1
0.5%
444 2
1.0%
437 1
0.5%
427 1
0.5%
414 1
0.5%
413 1
0.5%

7.2
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.015075
Minimum1
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:47.575554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median10
Q330
95-th percentile80.2
Maximum134
Range133
Interquartile range (IQR)25

Descriptive statistics

Standard deviation26.937915
Coefficient of variation (CV)1.2236122
Kurtosis2.8943367
Mean22.015075
Median Absolute Deviation (MAD)6
Skewness1.8568078
Sum4381
Variance725.65129
MonotonicityNot monotonic
2023-12-10T15:22:47.843457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
7 18
 
9.0%
3 17
 
8.5%
5 15
 
7.5%
11 14
 
7.0%
6 11
 
5.5%
9 9
 
4.5%
8 8
 
4.0%
12 6
 
3.0%
10 6
 
3.0%
Other values (52) 77
38.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 17
8.5%
4 18
9.0%
5 15
7.5%
6 11
5.5%
7 18
9.0%
8 8
4.0%
9 9
4.5%
10 6
 
3.0%
ValueCountFrequency (%)
134 1
0.5%
121 1
0.5%
112 1
0.5%
103 1
0.5%
96 1
0.5%
94 1
0.5%
93 1
0.5%
91 1
0.5%
84 1
0.5%
82 1
0.5%

7.3
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.226131
Minimum2
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:48.121577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q326.5
95-th percentile80.2
Maximum128
Range126
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation25.322448
Coefficient of variation (CV)1.1929847
Kurtosis3.8247503
Mean21.226131
Median Absolute Deviation (MAD)6
Skewness2.0321835
Sum4224
Variance641.22638
MonotonicityNot monotonic
2023-12-10T15:22:48.702342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
9.5%
6 16
 
8.0%
3 14
 
7.0%
8 13
 
6.5%
7 13
 
6.5%
11 11
 
5.5%
13 10
 
5.0%
5 9
 
4.5%
9 8
 
4.0%
17 6
 
3.0%
Other values (51) 80
40.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 14
7.0%
4 19
9.5%
5 9
4.5%
6 16
8.0%
7 13
6.5%
8 13
6.5%
9 8
4.0%
10 3
 
1.5%
11 11
5.5%
ValueCountFrequency (%)
128 1
0.5%
116 1
0.5%
114 1
0.5%
103 1
0.5%
99 1
0.5%
95 1
0.5%
91 1
0.5%
90 1
0.5%
84 1
0.5%
82 1
0.5%

8.2
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum2
Maximum155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:48.958235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q330.5
95-th percentile84.1
Maximum155
Range153
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation29.308702
Coefficient of variation (CV)1.2211959
Kurtosis5.6551962
Mean24
Median Absolute Deviation (MAD)6
Skewness2.2907632
Sum4776
Variance859
MonotonicityNot monotonic
2023-12-10T15:22:49.205173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
5 14
 
7.0%
7 14
 
7.0%
8 12
 
6.0%
6 11
 
5.5%
3 9
 
4.5%
9 9
 
4.5%
11 8
 
4.0%
12 7
 
3.5%
43 6
 
3.0%
Other values (55) 93
46.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 9
4.5%
4 16
8.0%
5 14
7.0%
6 11
5.5%
7 14
7.0%
8 12
6.0%
9 9
4.5%
10 4
 
2.0%
11 8
4.0%
ValueCountFrequency (%)
155 1
0.5%
149 1
0.5%
143 1
0.5%
136 1
0.5%
123 1
0.5%
108 1
0.5%
105 1
0.5%
97 1
0.5%
93 1
0.5%
85 1
0.5%

9
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.256281
Minimum2
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:49.475723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16
median10
Q321
95-th percentile50.6
Maximum85
Range83
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.50894
Coefficient of variation (CV)1.0155422
Kurtosis4.7596472
Mean16.256281
Median Absolute Deviation (MAD)5
Skewness2.1498078
Sum3235
Variance272.5451
MonotonicityNot monotonic
2023-12-10T15:22:49.770970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 25
 
12.6%
9 14
 
7.0%
10 14
 
7.0%
6 13
 
6.5%
5 12
 
6.0%
7 11
 
5.5%
8 9
 
4.5%
11 9
 
4.5%
3 8
 
4.0%
13 8
 
4.0%
Other values (40) 76
38.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 8
 
4.0%
4 25
12.6%
5 12
6.0%
6 13
6.5%
7 11
5.5%
8 9
 
4.5%
9 14
7.0%
10 14
7.0%
11 9
 
4.5%
ValueCountFrequency (%)
85 1
0.5%
82 1
0.5%
77 1
0.5%
76 1
0.5%
72 1
0.5%
71 1
0.5%
66 1
0.5%
65 1
0.5%
56 2
1.0%
50 2
1.0%

13.1
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.859296
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:50.001530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316
95-th percentile31
Maximum47
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.3895258
Coefficient of variation (CV)0.65240939
Kurtosis2.3659412
Mean12.859296
Median Absolute Deviation (MAD)4
Skewness1.4955614
Sum2559
Variance70.384143
MonotonicityNot monotonic
2023-12-10T15:22:50.244985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 17
 
8.5%
10 16
 
8.0%
9 15
 
7.5%
5 15
 
7.5%
7 14
 
7.0%
15 12
 
6.0%
12 11
 
5.5%
14 10
 
5.0%
4 10
 
5.0%
13 10
 
5.0%
Other values (25) 69
34.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 3
 
1.5%
4 10
5.0%
5 15
7.5%
6 17
8.5%
7 14
7.0%
8 6
 
3.0%
9 15
7.5%
10 16
8.0%
11 6
 
3.0%
ValueCountFrequency (%)
47 1
 
0.5%
40 2
1.0%
38 1
 
0.5%
37 1
 
0.5%
36 3
1.5%
32 1
 
0.5%
31 2
1.0%
30 1
 
0.5%
29 1
 
0.5%
28 2
1.0%

6.2
Real number (ℝ)

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.386935
Minimum2
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:50.526150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q344.5
95-th percentile172.3
Maximum269
Range267
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation55.084013
Coefficient of variation (CV)1.4733493
Kurtosis4.0244479
Mean37.386935
Median Absolute Deviation (MAD)7
Skewness2.1255949
Sum7440
Variance3034.2485
MonotonicityNot monotonic
2023-12-10T15:22:50.795938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
6 17
 
8.5%
3 15
 
7.5%
5 13
 
6.5%
14 10
 
5.0%
10 10
 
5.0%
7 9
 
4.5%
9 7
 
3.5%
13 6
 
3.0%
11 5
 
2.5%
Other values (65) 89
44.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 15
7.5%
4 18
9.0%
5 13
6.5%
6 17
8.5%
7 9
4.5%
8 4
 
2.0%
9 7
 
3.5%
10 10
5.0%
11 5
 
2.5%
ValueCountFrequency (%)
269 1
0.5%
244 1
0.5%
219 1
0.5%
214 1
0.5%
210 1
0.5%
207 1
0.5%
204 1
0.5%
200 1
0.5%
187 1
0.5%
175 1
0.5%

6.3
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.547739
Minimum2
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:51.061231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15.5
median11
Q330
95-th percentile97.5
Maximum154
Range152
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation30.94499
Coefficient of variation (CV)1.2606045
Kurtosis4.566423
Mean24.547739
Median Absolute Deviation (MAD)7
Skewness2.1600698
Sum4885
Variance957.59241
MonotonicityNot monotonic
2023-12-10T15:22:51.300148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
5 15
 
7.5%
6 15
 
7.5%
3 14
 
7.0%
7 12
 
6.0%
8 8
 
4.0%
11 8
 
4.0%
18 7
 
3.5%
14 6
 
3.0%
17 6
 
3.0%
Other values (55) 92
46.2%
ValueCountFrequency (%)
2 5
 
2.5%
3 14
7.0%
4 16
8.0%
5 15
7.5%
6 15
7.5%
7 12
6.0%
8 8
4.0%
9 2
 
1.0%
10 5
 
2.5%
11 8
4.0%
ValueCountFrequency (%)
154 1
0.5%
153 1
0.5%
139 1
0.5%
130 1
0.5%
123 1
0.5%
118 1
0.5%
113 1
0.5%
110 1
0.5%
106 1
0.5%
102 1
0.5%

90
Real number (ℝ)

Distinct146
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.39698
Minimum23
Maximum1340
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:51.596825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile36.9
Q161
median107
Q3291.5
95-th percentile705.1
Maximum1340
Range1317
Interquartile range (IQR)230.5

Descriptive statistics

Standard deviation238.58139
Coefficient of variation (CV)1.1232805
Kurtosis4.4326555
Mean212.39698
Median Absolute Deviation (MAD)59
Skewness2.0298393
Sum42267
Variance56921.079
MonotonicityNot monotonic
2023-12-10T15:22:51.867172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 6
 
3.0%
63 3
 
1.5%
47 3
 
1.5%
54 3
 
1.5%
87 3
 
1.5%
125 3
 
1.5%
83 3
 
1.5%
61 3
 
1.5%
112 3
 
1.5%
97 2
 
1.0%
Other values (136) 167
83.9%
ValueCountFrequency (%)
23 1
0.5%
26 1
0.5%
28 1
0.5%
29 1
0.5%
32 2
1.0%
33 1
0.5%
34 1
0.5%
35 1
0.5%
36 1
0.5%
37 2
1.0%
ValueCountFrequency (%)
1340 1
0.5%
1214 1
0.5%
1065 1
0.5%
943 1
0.5%
935 1
0.5%
829 1
0.5%
789 1
0.5%
769 1
0.5%
742 2
1.0%
701 1
0.5%

8.3
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.577889
Minimum2
Maximum231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:52.136741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q334.5
95-th percentile83.6
Maximum231
Range229
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation32.222909
Coefficient of variation (CV)1.2597955
Kurtosis10.554517
Mean25.577889
Median Absolute Deviation (MAD)8
Skewness2.7754881
Sum5090
Variance1038.3159
MonotonicityNot monotonic
2023-12-10T15:22:52.367147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
8.5%
6 15
 
7.5%
4 12
 
6.0%
8 12
 
6.0%
7 12
 
6.0%
5 11
 
5.5%
10 8
 
4.0%
12 6
 
3.0%
21 4
 
2.0%
9 4
 
2.0%
Other values (55) 98
49.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 17
8.5%
4 12
6.0%
5 11
5.5%
6 15
7.5%
7 12
6.0%
8 12
6.0%
9 4
 
2.0%
10 8
4.0%
11 4
 
2.0%
ValueCountFrequency (%)
231 1
0.5%
166 1
0.5%
131 1
0.5%
126 1
0.5%
125 1
0.5%
119 1
0.5%
112 1
0.5%
108 1
0.5%
103 1
0.5%
98 1
0.5%

9.1
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.155779
Minimum2
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:52.604916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q325.5
95-th percentile57.4
Maximum121
Range119
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation19.172024
Coefficient of variation (CV)1.0559737
Kurtosis7.40945
Mean18.155779
Median Absolute Deviation (MAD)5
Skewness2.4157667
Sum3613
Variance367.56652
MonotonicityNot monotonic
2023-12-10T15:22:52.863724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
6 15
 
7.5%
7 14
 
7.0%
9 14
 
7.0%
8 11
 
5.5%
5 11
 
5.5%
3 10
 
5.0%
12 8
 
4.0%
10 8
 
4.0%
31 7
 
3.5%
Other values (42) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 10
5.0%
4 18
9.0%
5 11
5.5%
6 15
7.5%
7 14
7.0%
8 11
5.5%
9 14
7.0%
10 8
4.0%
11 6
 
3.0%
ValueCountFrequency (%)
121 1
0.5%
106 1
0.5%
100 1
0.5%
72 1
0.5%
71 1
0.5%
69 2
1.0%
65 1
0.5%
62 1
0.5%
61 1
0.5%
57 1
0.5%

15.3
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.356784
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:53.087270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median13
Q318
95-th percentile36.2
Maximum62
Range61
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.606285
Coefficient of variation (CV)0.69065793
Kurtosis4.4188275
Mean15.356784
Median Absolute Deviation (MAD)5
Skewness1.8662662
Sum3056
Variance112.49327
MonotonicityNot monotonic
2023-12-10T15:22:53.326574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7 18
 
9.0%
15 13
 
6.5%
17 13
 
6.5%
11 12
 
6.0%
8 11
 
5.5%
6 10
 
5.0%
10 10
 
5.0%
18 9
 
4.5%
5 8
 
4.0%
13 8
 
4.0%
Other values (33) 87
43.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
4 7
 
3.5%
5 8
4.0%
6 10
5.0%
7 18
9.0%
8 11
5.5%
9 7
 
3.5%
10 10
5.0%
ValueCountFrequency (%)
62 1
0.5%
59 1
0.5%
56 1
0.5%
53 1
0.5%
46 1
0.5%
45 1
0.5%
43 2
1.0%
42 1
0.5%
38 1
0.5%
36 1
0.5%

122
Real number (ℝ)

Distinct133
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.40704
Minimum4
Maximum429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:53.942482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile39
Q164.5
median107
Q3151.5
95-th percentile241.6
Maximum429
Range425
Interquartile range (IQR)87

Descriptive statistics

Standard deviation69.636793
Coefficient of variation (CV)0.58811365
Kurtosis3.7017076
Mean118.40704
Median Absolute Deviation (MAD)43
Skewness1.5782596
Sum23563
Variance4849.283
MonotonicityNot monotonic
2023-12-10T15:22:54.149431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
125 4
 
2.0%
58 4
 
2.0%
52 4
 
2.0%
62 4
 
2.0%
164 3
 
1.5%
64 3
 
1.5%
66 3
 
1.5%
103 3
 
1.5%
110 3
 
1.5%
121 3
 
1.5%
Other values (123) 165
82.9%
ValueCountFrequency (%)
4 1
0.5%
24 1
0.5%
30 2
1.0%
33 1
0.5%
34 1
0.5%
35 1
0.5%
36 1
0.5%
37 1
0.5%
39 2
1.0%
40 1
0.5%
ValueCountFrequency (%)
429 1
0.5%
412 1
0.5%
358 1
0.5%
342 1
0.5%
332 1
0.5%
307 1
0.5%
275 1
0.5%
249 2
1.0%
247 1
0.5%
241 2
1.0%

124
Real number (ℝ)

Distinct134
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.01508
Minimum5
Maximum624
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:54.396056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile46.7
Q173.5
median119
Q3186
95-th percentile292.9
Maximum624
Range619
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation93.083024
Coefficient of variation (CV)0.65544467
Kurtosis5.3613797
Mean142.01508
Median Absolute Deviation (MAD)52
Skewness1.8389005
Sum28261
Variance8664.4493
MonotonicityNot monotonic
2023-12-10T15:22:54.598877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128 4
 
2.0%
86 4
 
2.0%
193 4
 
2.0%
151 3
 
1.5%
118 3
 
1.5%
78 3
 
1.5%
139 3
 
1.5%
66 3
 
1.5%
71 3
 
1.5%
87 3
 
1.5%
Other values (124) 166
83.4%
ValueCountFrequency (%)
5 1
0.5%
27 1
0.5%
30 1
0.5%
31 1
0.5%
37 2
1.0%
40 1
0.5%
41 1
0.5%
42 1
0.5%
44 1
0.5%
47 1
0.5%
ValueCountFrequency (%)
624 1
0.5%
551 1
0.5%
494 1
0.5%
422 1
0.5%
377 1
0.5%
357 1
0.5%
327 1
0.5%
316 1
0.5%
313 1
0.5%
310 1
0.5%

19
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.984925
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:54.835931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median19
Q330.5
95-th percentile54.2
Maximum98
Range97
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation15.508706
Coefficient of variation (CV)0.67473384
Kurtosis3.3576198
Mean22.984925
Median Absolute Deviation (MAD)9
Skewness1.6101329
Sum4574
Variance240.51997
MonotonicityNot monotonic
2023-12-10T15:22:55.090529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 14
 
7.0%
12 11
 
5.5%
11 10
 
5.0%
10 10
 
5.0%
16 9
 
4.5%
15 9
 
4.5%
8 9
 
4.5%
9 8
 
4.0%
7 7
 
3.5%
13 7
 
3.5%
Other values (41) 105
52.8%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
6 2
 
1.0%
7 7
3.5%
8 9
4.5%
9 8
4.0%
10 10
5.0%
11 10
5.0%
12 11
5.5%
13 7
3.5%
ValueCountFrequency (%)
98 1
0.5%
81 1
0.5%
69 1
0.5%
66 2
1.0%
62 1
0.5%
60 1
0.5%
58 2
1.0%
56 1
0.5%
54 2
1.0%
53 1
0.5%

19.1
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.281407
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:55.373242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median20
Q330
95-th percentile50.2
Maximum108
Range107
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.718522
Coefficient of variation (CV)0.67515343
Kurtosis7.7063184
Mean23.281407
Median Absolute Deviation (MAD)8
Skewness2.2079707
Sum4633
Variance247.07193
MonotonicityNot monotonic
2023-12-10T15:22:55.766050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 10
 
5.0%
12 10
 
5.0%
11 9
 
4.5%
16 9
 
4.5%
17 8
 
4.0%
20 8
 
4.0%
8 8
 
4.0%
21 7
 
3.5%
22 7
 
3.5%
10 7
 
3.5%
Other values (43) 116
58.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
6 3
 
1.5%
7 6
3.0%
8 8
4.0%
9 6
3.0%
10 7
3.5%
11 9
4.5%
12 10
5.0%
13 3
 
1.5%
ValueCountFrequency (%)
108 1
0.5%
103 1
0.5%
88 1
0.5%
65 1
0.5%
63 1
0.5%
59 1
0.5%
55 1
0.5%
54 1
0.5%
53 1
0.5%
52 1
0.5%

23.1
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.512563
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:56.096175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median22
Q334.5
95-th percentile61.2
Maximum148
Range147
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation19.764487
Coefficient of variation (CV)0.71838044
Kurtosis9.3605995
Mean27.512563
Median Absolute Deviation (MAD)9
Skewness2.4507941
Sum5475
Variance390.63494
MonotonicityNot monotonic
2023-12-10T15:22:56.481267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 8
 
4.0%
26 8
 
4.0%
18 8
 
4.0%
21 7
 
3.5%
10 7
 
3.5%
25 7
 
3.5%
13 7
 
3.5%
12 7
 
3.5%
9 7
 
3.5%
22 7
 
3.5%
Other values (49) 126
63.3%
ValueCountFrequency (%)
1 1
 
0.5%
6 1
 
0.5%
7 3
1.5%
8 6
3.0%
9 7
3.5%
10 7
3.5%
11 6
3.0%
12 7
3.5%
13 7
3.5%
14 4
2.0%
ValueCountFrequency (%)
148 1
0.5%
116 1
0.5%
106 1
0.5%
92 1
0.5%
80 1
0.5%
75 1
0.5%
71 1
0.5%
69 1
0.5%
65 1
0.5%
63 1
0.5%

26
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.914573
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:56.753115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median19
Q327.5
95-th percentile45.1
Maximum84
Range83
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation13.821654
Coefficient of variation (CV)0.63070607
Kurtosis4.5483604
Mean21.914573
Median Absolute Deviation (MAD)7
Skewness1.8112646
Sum4361
Variance191.03812
MonotonicityNot monotonic
2023-12-10T15:22:57.094084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
11 15
 
7.5%
20 12
 
6.0%
12 11
 
5.5%
18 9
 
4.5%
17 8
 
4.0%
24 7
 
3.5%
13 7
 
3.5%
15 7
 
3.5%
10 7
 
3.5%
9 7
 
3.5%
Other values (37) 109
54.8%
ValueCountFrequency (%)
1 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 2
 
1.0%
7 4
 
2.0%
8 5
 
2.5%
9 7
3.5%
10 7
3.5%
11 15
7.5%
12 11
5.5%
ValueCountFrequency (%)
84 1
 
0.5%
83 1
 
0.5%
71 1
 
0.5%
69 1
 
0.5%
67 1
 
0.5%
58 2
1.0%
55 1
 
0.5%
46 2
1.0%
45 4
2.0%
43 2
1.0%

35
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.080402
Minimum0
Maximum101
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:57.332165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median19
Q330.5
95-th percentile46.1
Maximum101
Range101
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation14.657489
Coefficient of variation (CV)0.66382347
Kurtosis4.1924817
Mean22.080402
Median Absolute Deviation (MAD)8
Skewness1.5084713
Sum4394
Variance214.84199
MonotonicityNot monotonic
2023-12-10T15:22:57.628895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 11
 
5.5%
15 11
 
5.5%
19 11
 
5.5%
16 10
 
5.0%
11 9
 
4.5%
34 7
 
3.5%
5 7
 
3.5%
7 6
 
3.0%
8 6
 
3.0%
12 6
 
3.0%
Other values (41) 115
57.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 3
 
1.5%
4 3
 
1.5%
5 7
3.5%
6 6
3.0%
7 6
3.0%
8 6
3.0%
9 5
2.5%
10 3
 
1.5%
11 9
4.5%
ValueCountFrequency (%)
101 1
 
0.5%
74 1
 
0.5%
67 1
 
0.5%
63 1
 
0.5%
58 1
 
0.5%
51 3
1.5%
48 1
 
0.5%
47 1
 
0.5%
46 4
2.0%
44 2
1.0%

248
Real number (ℝ)

Distinct153
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249.27136
Minimum0
Maximum1292
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:57.879968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile87.7
Q1132
median214
Q3311.5
95-th percentile514.2
Maximum1292
Range1292
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation162.23392
Coefficient of variation (CV)0.65083258
Kurtosis10.337925
Mean249.27136
Median Absolute Deviation (MAD)85
Skewness2.4023297
Sum49605
Variance26319.845
MonotonicityNot monotonic
2023-12-10T15:22:58.144280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 3
 
1.5%
293 3
 
1.5%
122 3
 
1.5%
130 3
 
1.5%
227 3
 
1.5%
126 3
 
1.5%
172 2
 
1.0%
163 2
 
1.0%
290 2
 
1.0%
127 2
 
1.0%
Other values (143) 173
86.9%
ValueCountFrequency (%)
0 1
0.5%
48 1
0.5%
64 1
0.5%
70 2
1.0%
72 1
0.5%
73 1
0.5%
76 1
0.5%
81 1
0.5%
85 1
0.5%
88 1
0.5%
ValueCountFrequency (%)
1292 1
0.5%
1002 1
0.5%
829 1
0.5%
655 1
0.5%
654 1
0.5%
586 1
0.5%
568 1
0.5%
555 1
0.5%
546 1
0.5%
534 1
0.5%

18
Real number (ℝ)

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.221106
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:58.418787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q113
median22
Q339
95-th percentile78.4
Maximum165
Range164
Interquartile range (IQR)26

Descriptive statistics

Standard deviation24.655226
Coefficient of variation (CV)0.81582806
Kurtosis5.1762402
Mean30.221106
Median Absolute Deviation (MAD)11
Skewness1.9562458
Sum6014
Variance607.88016
MonotonicityNot monotonic
2023-12-10T15:22:58.658205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 11
 
5.5%
12 10
 
5.0%
9 9
 
4.5%
17 9
 
4.5%
10 8
 
4.0%
26 7
 
3.5%
18 6
 
3.0%
27 6
 
3.0%
16 6
 
3.0%
7 5
 
2.5%
Other values (59) 122
61.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
6 3
 
1.5%
7 5
2.5%
8 4
 
2.0%
9 9
4.5%
10 8
4.0%
11 5
2.5%
12 10
5.0%
13 5
2.5%
ValueCountFrequency (%)
165 1
0.5%
117 1
0.5%
109 1
0.5%
103 1
0.5%
96 1
0.5%
95 1
0.5%
90 1
0.5%
86 1
0.5%
85 1
0.5%
82 1
0.5%

17.1
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.914573
Minimum1
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:58.900748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median20
Q334.5
95-th percentile64.4
Maximum146
Range145
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation20.719086
Coefficient of variation (CV)0.76980922
Kurtosis7.0189291
Mean26.914573
Median Absolute Deviation (MAD)10
Skewness2.1643319
Sum5356
Variance429.28054
MonotonicityNot monotonic
2023-12-10T15:22:59.497218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 11
 
5.5%
11 10
 
5.0%
8 9
 
4.5%
20 9
 
4.5%
19 8
 
4.0%
17 7
 
3.5%
16 6
 
3.0%
9 6
 
3.0%
22 6
 
3.0%
14 6
 
3.0%
Other values (51) 121
60.8%
ValueCountFrequency (%)
1 1
 
0.5%
5 1
 
0.5%
6 5
2.5%
7 5
2.5%
8 9
4.5%
9 6
3.0%
10 6
3.0%
11 10
5.0%
12 4
 
2.0%
13 6
3.0%
ValueCountFrequency (%)
146 1
0.5%
108 1
0.5%
101 1
0.5%
96 1
0.5%
92 1
0.5%
84 1
0.5%
73 1
0.5%
69 2
1.0%
68 1
0.5%
64 1
0.5%

22
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.58794
Minimum1
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:22:59.776039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q115
median24
Q341.5
95-th percentile74.3
Maximum224
Range223
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation29.429612
Coefficient of variation (CV)0.90308294
Kurtosis13.149839
Mean32.58794
Median Absolute Deviation (MAD)12
Skewness3.026874
Sum6485
Variance866.10208
MonotonicityNot monotonic
2023-12-10T15:23:00.060755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 10
 
5.0%
21 9
 
4.5%
12 8
 
4.0%
17 7
 
3.5%
28 7
 
3.5%
20 7
 
3.5%
16 7
 
3.5%
34 6
 
3.0%
19 6
 
3.0%
7 6
 
3.0%
Other values (62) 126
63.3%
ValueCountFrequency (%)
1 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 6
3.0%
8 4
 
2.0%
9 10
5.0%
10 5
2.5%
11 5
2.5%
12 8
4.0%
13 3
 
1.5%
ValueCountFrequency (%)
224 1
0.5%
175 1
0.5%
152 1
0.5%
148 1
0.5%
131 1
0.5%
107 1
0.5%
96 1
0.5%
89 1
0.5%
79 1
0.5%
77 1
0.5%

25.1
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.668342
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:00.368020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q113
median21
Q331.5
95-th percentile57
Maximum128
Range127
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation18.015721
Coefficient of variation (CV)0.70186542
Kurtosis8.5655426
Mean25.668342
Median Absolute Deviation (MAD)9
Skewness2.3912401
Sum5108
Variance324.56621
MonotonicityNot monotonic
2023-12-10T15:23:00.604099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 13
 
6.5%
16 9
 
4.5%
12 9
 
4.5%
13 8
 
4.0%
24 7
 
3.5%
26 7
 
3.5%
19 7
 
3.5%
18 7
 
3.5%
27 7
 
3.5%
9 7
 
3.5%
Other values (47) 118
59.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 1
 
0.5%
7 3
 
1.5%
8 4
 
2.0%
9 7
3.5%
10 2
 
1.0%
11 13
6.5%
12 9
4.5%
ValueCountFrequency (%)
128 1
0.5%
109 1
0.5%
104 1
0.5%
85 1
0.5%
77 1
0.5%
71 1
0.5%
65 1
0.5%
63 1
0.5%
58 1
0.5%
57 2
1.0%

42
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.276382
Minimum0
Maximum124
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:00.844504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q115
median23
Q337
95-th percentile57
Maximum124
Range124
Interquartile range (IQR)22

Descriptive statistics

Standard deviation17.840454
Coefficient of variation (CV)0.65406235
Kurtosis4.1963026
Mean27.276382
Median Absolute Deviation (MAD)10
Skewness1.4784104
Sum5428
Variance318.28181
MonotonicityNot monotonic
2023-12-10T15:23:01.148352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 9
 
4.5%
15 8
 
4.0%
46 8
 
4.0%
13 8
 
4.0%
22 7
 
3.5%
8 6
 
3.0%
16 6
 
3.0%
27 6
 
3.0%
20 6
 
3.0%
11 5
 
2.5%
Other values (49) 130
65.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 3
1.5%
4 3
1.5%
5 5
2.5%
6 1
 
0.5%
7 1
 
0.5%
8 6
3.0%
9 5
2.5%
10 5
2.5%
11 5
2.5%
ValueCountFrequency (%)
124 1
 
0.5%
82 2
1.0%
80 1
 
0.5%
78 1
 
0.5%
67 1
 
0.5%
62 1
 
0.5%
60 1
 
0.5%
59 1
 
0.5%
57 3
1.5%
56 1
 
0.5%

72
Real number (ℝ)

Distinct119
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.58794
Minimum14
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:01.407020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile28.8
Q145.5
median73
Q3112.5
95-th percentile241.1
Maximum385
Range371
Interquartile range (IQR)67

Descriptive statistics

Standard deviation68.319519
Coefficient of variation (CV)0.73788788
Kurtosis3.824408
Mean92.58794
Median Absolute Deviation (MAD)31
Skewness1.8519282
Sum18425
Variance4667.5566
MonotonicityNot monotonic
2023-12-10T15:23:01.683672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 5
 
2.5%
52 5
 
2.5%
31 5
 
2.5%
59 4
 
2.0%
36 4
 
2.0%
44 4
 
2.0%
49 4
 
2.0%
23 3
 
1.5%
38 3
 
1.5%
69 3
 
1.5%
Other values (109) 159
79.9%
ValueCountFrequency (%)
14 1
 
0.5%
20 1
 
0.5%
23 3
1.5%
25 1
 
0.5%
26 3
1.5%
27 1
 
0.5%
29 1
 
0.5%
30 3
1.5%
31 5
2.5%
32 2
 
1.0%
ValueCountFrequency (%)
385 1
0.5%
368 1
0.5%
327 1
0.5%
326 1
0.5%
313 1
0.5%
284 1
0.5%
280 1
0.5%
244 2
1.0%
242 1
0.5%
241 1
0.5%

72.1
Real number (ℝ)

Distinct121
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.03518
Minimum16
Maximum509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:01.921790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile30.8
Q150
median78
Q3131
95-th percentile317.6
Maximum509
Range493
Interquartile range (IQR)81

Descriptive statistics

Standard deviation94.55795
Coefficient of variation (CV)0.85160355
Kurtosis4.8024104
Mean111.03518
Median Absolute Deviation (MAD)36
Skewness2.1077495
Sum22096
Variance8941.2058
MonotonicityNot monotonic
2023-12-10T15:23:02.175237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65 5
 
2.5%
74 4
 
2.0%
42 4
 
2.0%
39 4
 
2.0%
50 4
 
2.0%
75 3
 
1.5%
59 3
 
1.5%
142 3
 
1.5%
34 3
 
1.5%
80 3
 
1.5%
Other values (111) 163
81.9%
ValueCountFrequency (%)
16 1
 
0.5%
21 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
28 2
1.0%
29 3
1.5%
31 1
 
0.5%
32 3
1.5%
33 2
1.0%
ValueCountFrequency (%)
509 1
0.5%
491 1
0.5%
468 1
0.5%
459 1
0.5%
457 1
0.5%
386 1
0.5%
364 1
0.5%
360 1
0.5%
349 1
0.5%
323 1
0.5%

11.2
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.100503
Minimum2
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:02.433158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median14
Q325.5
95-th percentile72.1
Maximum173
Range171
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation24.077315
Coefficient of variation (CV)1.0894465
Kurtosis10.791255
Mean22.100503
Median Absolute Deviation (MAD)7
Skewness2.8836235
Sum4398
Variance579.71712
MonotonicityNot monotonic
2023-12-10T15:23:02.712477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
5 14
 
7.0%
8 12
 
6.0%
9 12
 
6.0%
6 11
 
5.5%
7 10
 
5.0%
15 8
 
4.0%
14 7
 
3.5%
10 7
 
3.5%
21 6
 
3.0%
Other values (47) 98
49.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 5
 
2.5%
5 14
7.0%
6 11
5.5%
7 10
5.0%
8 12
6.0%
9 12
6.0%
10 7
3.5%
11 14
7.0%
ValueCountFrequency (%)
173 1
0.5%
125 1
0.5%
123 1
0.5%
101 1
0.5%
90 1
0.5%
88 1
0.5%
86 1
0.5%
78 1
0.5%
75 1
0.5%
73 1
0.5%

11.3
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.120603
Minimum2
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:02.960453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median13
Q323.5
95-th percentile54
Maximum95
Range93
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation15.821145
Coefficient of variation (CV)0.82743962
Kurtosis4.9301093
Mean19.120603
Median Absolute Deviation (MAD)6
Skewness2.0297594
Sum3805
Variance250.30861
MonotonicityNot monotonic
2023-12-10T15:23:03.195169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 14
 
7.0%
7 13
 
6.5%
9 11
 
5.5%
8 10
 
5.0%
17 10
 
5.0%
11 10
 
5.0%
6 10
 
5.0%
5 10
 
5.0%
10 9
 
4.5%
12 7
 
3.5%
Other values (42) 95
47.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 4
 
2.0%
5 10
5.0%
6 10
5.0%
7 13
6.5%
8 10
5.0%
9 11
5.5%
10 9
4.5%
11 10
5.0%
ValueCountFrequency (%)
95 1
0.5%
84 1
0.5%
83 1
0.5%
65 1
0.5%
64 1
0.5%
63 1
0.5%
61 1
0.5%
55 2
1.0%
54 2
1.0%
49 1
0.5%

13.2
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.351759
Minimum4
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:03.428520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.9
Q19
median15
Q326
95-th percentile56
Maximum129
Range125
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.94428
Coefficient of variation (CV)0.88724681
Kurtosis9.040831
Mean21.351759
Median Absolute Deviation (MAD)7
Skewness2.568818
Sum4249
Variance358.88574
MonotonicityNot monotonic
2023-12-10T15:23:03.685898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 12
 
6.0%
8 11
 
5.5%
9 10
 
5.0%
15 10
 
5.0%
12 10
 
5.0%
10 10
 
5.0%
13 9
 
4.5%
7 9
 
4.5%
14 8
 
4.0%
17 7
 
3.5%
Other values (45) 103
51.8%
ValueCountFrequency (%)
4 5
2.5%
5 5
2.5%
6 12
6.0%
7 9
4.5%
8 11
5.5%
9 10
5.0%
10 10
5.0%
11 5
2.5%
12 10
5.0%
13 9
4.5%
ValueCountFrequency (%)
129 1
 
0.5%
113 1
 
0.5%
102 1
 
0.5%
91 1
 
0.5%
69 1
 
0.5%
62 1
 
0.5%
59 2
1.0%
58 1
 
0.5%
56 3
1.5%
54 1
 
0.5%

145
Real number (ℝ)

Distinct154
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.92965
Minimum38
Maximum887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:03.891423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile55.9
Q191
median151
Q3226
95-th percentile512.7
Maximum887
Range849
Interquartile range (IQR)135

Descriptive statistics

Standard deviation156.01999
Coefficient of variation (CV)0.8045185
Kurtosis5.7002659
Mean193.92965
Median Absolute Deviation (MAD)66
Skewness2.211566
Sum38592
Variance24342.237
MonotonicityNot monotonic
2023-12-10T15:23:04.086209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 5
 
2.5%
59 3
 
1.5%
98 3
 
1.5%
76 3
 
1.5%
102 3
 
1.5%
101 2
 
1.0%
93 2
 
1.0%
65 2
 
1.0%
108 2
 
1.0%
151 2
 
1.0%
Other values (144) 172
86.4%
ValueCountFrequency (%)
38 1
0.5%
43 1
0.5%
44 2
1.0%
48 1
0.5%
49 1
0.5%
51 1
0.5%
52 1
0.5%
53 1
0.5%
55 1
0.5%
56 1
0.5%
ValueCountFrequency (%)
887 1
0.5%
872 1
0.5%
829 1
0.5%
754 1
0.5%
682 1
0.5%
677 1
0.5%
644 1
0.5%
637 1
0.5%
626 1
0.5%
519 1
0.5%

15.4
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.01005
Minimum3
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:04.350932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median13
Q319.5
95-th percentile36.2
Maximum98
Range95
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation12.423906
Coefficient of variation (CV)0.77600667
Kurtosis12.432144
Mean16.01005
Median Absolute Deviation (MAD)5
Skewness2.8743952
Sum3186
Variance154.35343
MonotonicityNot monotonic
2023-12-10T15:23:04.943678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7 21
 
10.6%
15 13
 
6.5%
6 13
 
6.5%
14 12
 
6.0%
9 12
 
6.0%
12 11
 
5.5%
11 11
 
5.5%
17 10
 
5.0%
8 8
 
4.0%
13 7
 
3.5%
Other values (32) 81
40.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 4
 
2.0%
5 7
 
3.5%
6 13
6.5%
7 21
10.6%
8 8
 
4.0%
9 12
6.0%
10 7
 
3.5%
11 11
5.5%
12 11
5.5%
ValueCountFrequency (%)
98 1
0.5%
72 1
0.5%
67 1
0.5%
58 1
0.5%
52 1
0.5%
50 1
0.5%
42 1
0.5%
40 1
0.5%
39 1
0.5%
38 1
0.5%

21.1
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.643216
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:05.176702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median11
Q319.5
95-th percentile30
Maximum59
Range58
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation8.9892383
Coefficient of variation (CV)0.65887972
Kurtosis3.4673446
Mean13.643216
Median Absolute Deviation (MAD)5
Skewness1.4603895
Sum2715
Variance80.806406
MonotonicityNot monotonic
2023-12-10T15:23:05.438212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 14
 
7.0%
10 14
 
7.0%
11 13
 
6.5%
9 13
 
6.5%
5 12
 
6.0%
20 11
 
5.5%
6 11
 
5.5%
14 10
 
5.0%
3 8
 
4.0%
15 8
 
4.0%
Other values (26) 85
42.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 8
4.0%
4 8
4.0%
5 12
6.0%
6 11
5.5%
7 14
7.0%
8 4
 
2.0%
9 13
6.5%
10 14
7.0%
ValueCountFrequency (%)
59 1
 
0.5%
44 2
1.0%
39 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
30 3
1.5%
28 1
 
0.5%
27 4
2.0%

10.3
Real number (ℝ)

Distinct77
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.904523
Minimum2
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:05.782028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median17
Q338.5
95-th percentile127.2
Maximum267
Range265
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation44.222988
Coefficient of variation (CV)1.3043389
Kurtosis8.7094116
Mean33.904523
Median Absolute Deviation (MAD)10
Skewness2.7556278
Sum6747
Variance1955.6727
MonotonicityNot monotonic
2023-12-10T15:23:06.031339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
7 11
 
5.5%
6 11
 
5.5%
5 10
 
5.0%
15 9
 
4.5%
10 9
 
4.5%
23 8
 
4.0%
11 7
 
3.5%
16 5
 
2.5%
8 5
 
2.5%
Other values (67) 110
55.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 4
 
2.0%
5 10
5.0%
6 11
5.5%
7 11
5.5%
8 5
 
2.5%
9 14
7.0%
10 9
4.5%
11 7
3.5%
ValueCountFrequency (%)
267 1
0.5%
240 1
0.5%
232 1
0.5%
197 1
0.5%
174 1
0.5%
170 1
0.5%
151 1
0.5%
146 1
0.5%
133 1
0.5%
129 1
0.5%

10.4
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.572864
Minimum3
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:06.319035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q19
median13
Q327
95-th percentile56.1
Maximum126
Range123
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.597368
Coefficient of variation (CV)0.90397562
Kurtosis7.8647452
Mean20.572864
Median Absolute Deviation (MAD)7
Skewness2.3621242
Sum4094
Variance345.86209
MonotonicityNot monotonic
2023-12-10T15:23:06.577613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
6 14
 
7.0%
8 10
 
5.0%
11 10
 
5.0%
10 10
 
5.0%
13 9
 
4.5%
12 8
 
4.0%
17 8
 
4.0%
7 7
 
3.5%
18 7
 
3.5%
Other values (42) 102
51.3%
ValueCountFrequency (%)
3 4
 
2.0%
4 7
3.5%
5 7
3.5%
6 14
7.0%
7 7
3.5%
8 10
5.0%
9 14
7.0%
10 10
5.0%
11 10
5.0%
12 8
4.0%
ValueCountFrequency (%)
126 1
0.5%
110 1
0.5%
85 1
0.5%
77 1
0.5%
73 1
0.5%
68 1
0.5%
66 1
0.5%
63 2
1.0%
57 1
0.5%
56 1
0.5%

13.3
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.58794
Minimum3
Maximum219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:06.822449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q328
95-th percentile67.2
Maximum219
Range216
Interquartile range (IQR)19

Descriptive statistics

Standard deviation26.082059
Coefficient of variation (CV)1.105737
Kurtosis20.065673
Mean23.58794
Median Absolute Deviation (MAD)7
Skewness3.7130438
Sum4694
Variance680.27379
MonotonicityNot monotonic
2023-12-10T15:23:07.095926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 12
 
6.0%
12 11
 
5.5%
9 11
 
5.5%
7 10
 
5.0%
5 10
 
5.0%
8 9
 
4.5%
17 8
 
4.0%
16 8
 
4.0%
11 8
 
4.0%
14 7
 
3.5%
Other values (49) 105
52.8%
ValueCountFrequency (%)
3 1
 
0.5%
4 6
3.0%
5 10
5.0%
6 6
3.0%
7 10
5.0%
8 9
4.5%
9 11
5.5%
10 12
6.0%
11 8
4.0%
12 11
5.5%
ValueCountFrequency (%)
219 1
0.5%
163 1
0.5%
116 1
0.5%
113 1
0.5%
91 1
0.5%
79 1
0.5%
76 2
1.0%
72 1
0.5%
69 1
0.5%
67 1
0.5%

15.5
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.522613
Minimum2
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:07.323428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q320.5
95-th percentile46.1
Maximum121
Range119
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation15.502305
Coefficient of variation (CV)0.8847028
Kurtosis15.026329
Mean17.522613
Median Absolute Deviation (MAD)5
Skewness3.2641784
Sum3487
Variance240.32146
MonotonicityNot monotonic
2023-12-10T15:23:07.571106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
7 19
 
9.5%
9 13
 
6.5%
8 13
 
6.5%
12 11
 
5.5%
5 10
 
5.0%
13 10
 
5.0%
10 9
 
4.5%
16 9
 
4.5%
15 9
 
4.5%
11 9
 
4.5%
Other values (37) 87
43.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
5 10
5.0%
6 7
 
3.5%
7 19
9.5%
8 13
6.5%
9 13
6.5%
10 9
4.5%
11 9
4.5%
ValueCountFrequency (%)
121 1
0.5%
103 1
0.5%
78 1
0.5%
62 2
1.0%
55 1
0.5%
53 2
1.0%
50 1
0.5%
47 1
0.5%
46 1
0.5%
45 2
1.0%

24
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.728643
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:07.828038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median13
Q323
95-th percentile33
Maximum73
Range72
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.694884
Coefficient of variation (CV)0.67996226
Kurtosis3.7963941
Mean15.728643
Median Absolute Deviation (MAD)6
Skewness1.4257634
Sum3130
Variance114.38054
MonotonicityNot monotonic
2023-12-10T15:23:08.093297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11 15
 
7.5%
8 13
 
6.5%
27 12
 
6.0%
3 11
 
5.5%
7 10
 
5.0%
4 10
 
5.0%
12 9
 
4.5%
10 8
 
4.0%
15 8
 
4.0%
13 7
 
3.5%
Other values (31) 96
48.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 3
 
1.5%
3 11
5.5%
4 10
5.0%
5 5
 
2.5%
6 5
 
2.5%
7 10
5.0%
8 13
6.5%
9 7
3.5%
10 8
4.0%
ValueCountFrequency (%)
73 1
 
0.5%
48 2
1.0%
46 1
 
0.5%
44 1
 
0.5%
40 1
 
0.5%
39 1
 
0.5%
36 1
 
0.5%
35 1
 
0.5%
33 3
1.5%
32 1
 
0.5%

80.1
Real number (ℝ)

Distinct102
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.321608
Minimum16
Maximum253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:08.367514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile21
Q140.5
median61
Q394
95-th percentile133
Maximum253
Range237
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation39.174784
Coefficient of variation (CV)0.5651165
Kurtosis2.9144131
Mean69.321608
Median Absolute Deviation (MAD)23
Skewness1.3151495
Sum13795
Variance1534.6637
MonotonicityNot monotonic
2023-12-10T15:23:08.601977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 7
 
3.5%
40 6
 
3.0%
78 6
 
3.0%
49 5
 
2.5%
44 5
 
2.5%
21 4
 
2.0%
100 4
 
2.0%
65 4
 
2.0%
93 4
 
2.0%
38 4
 
2.0%
Other values (92) 150
75.4%
ValueCountFrequency (%)
16 2
1.0%
18 2
1.0%
19 2
1.0%
20 1
 
0.5%
21 4
2.0%
22 1
 
0.5%
23 2
1.0%
24 2
1.0%
25 3
1.5%
26 2
1.0%
ValueCountFrequency (%)
253 1
0.5%
226 1
0.5%
196 1
0.5%
178 1
0.5%
161 1
0.5%
154 1
0.5%
147 1
0.5%
140 1
0.5%
137 1
0.5%
133 2
1.0%

81
Real number (ℝ)

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.567839
Minimum11
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:08.843729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21.8
Q142
median66
Q3101
95-th percentile153.1
Maximum298
Range287
Interquartile range (IQR)59

Descriptive statistics

Standard deviation44.127847
Coefficient of variation (CV)0.59178122
Kurtosis3.282437
Mean74.567839
Median Absolute Deviation (MAD)28
Skewness1.3623493
Sum14839
Variance1947.2668
MonotonicityNot monotonic
2023-12-10T15:23:09.102957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 5
 
2.5%
45 5
 
2.5%
42 5
 
2.5%
101 5
 
2.5%
38 5
 
2.5%
35 4
 
2.0%
44 4
 
2.0%
27 4
 
2.0%
41 3
 
1.5%
18 3
 
1.5%
Other values (95) 156
78.4%
ValueCountFrequency (%)
11 1
 
0.5%
14 1
 
0.5%
16 1
 
0.5%
18 3
1.5%
19 2
1.0%
20 2
1.0%
22 1
 
0.5%
23 2
1.0%
24 2
1.0%
25 1
 
0.5%
ValueCountFrequency (%)
298 1
0.5%
242 1
0.5%
197 1
0.5%
181 2
1.0%
167 1
0.5%
165 1
0.5%
162 1
0.5%
158 1
0.5%
154 1
0.5%
153 1
0.5%

13.4
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.798995
Minimum3
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:09.346525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median13
Q318
95-th percentile34.1
Maximum51
Range48
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.5176497
Coefficient of variation (CV)0.64312811
Kurtosis1.5820055
Mean14.798995
Median Absolute Deviation (MAD)5
Skewness1.3191783
Sum2945
Variance90.585656
MonotonicityNot monotonic
2023-12-10T15:23:09.580065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 18
 
9.0%
18 15
 
7.5%
5 14
 
7.0%
7 12
 
6.0%
12 11
 
5.5%
9 10
 
5.0%
10 10
 
5.0%
14 10
 
5.0%
8 9
 
4.5%
15 8
 
4.0%
Other values (28) 82
41.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 7
 
3.5%
5 14
7.0%
6 18
9.0%
7 12
6.0%
8 9
4.5%
9 10
5.0%
10 10
5.0%
11 7
 
3.5%
12 11
5.5%
ValueCountFrequency (%)
51 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
41 1
 
0.5%
38 2
1.0%
37 2
1.0%
36 1
 
0.5%
35 1
 
0.5%
34 2
1.0%
33 3
1.5%

159
Real number (ℝ)

Distinct148
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.50754
Minimum26
Maximum503
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:09.848188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile42.9
Q184
median128
Q3193
95-th percentile278.4
Maximum503
Range477
Interquartile range (IQR)109

Descriptive statistics

Standard deviation80.512429
Coefficient of variation (CV)0.56103275
Kurtosis2.1308861
Mean143.50754
Median Absolute Deviation (MAD)48
Skewness1.1853351
Sum28558
Variance6482.2512
MonotonicityNot monotonic
2023-12-10T15:23:10.129450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87 4
 
2.0%
112 3
 
1.5%
84 3
 
1.5%
141 3
 
1.5%
81 3
 
1.5%
133 3
 
1.5%
108 3
 
1.5%
138 3
 
1.5%
111 3
 
1.5%
47 3
 
1.5%
Other values (138) 168
84.4%
ValueCountFrequency (%)
26 1
0.5%
27 1
0.5%
33 1
0.5%
34 1
0.5%
36 1
0.5%
38 2
1.0%
39 1
0.5%
41 1
0.5%
42 1
0.5%
43 1
0.5%
ValueCountFrequency (%)
503 1
0.5%
444 1
0.5%
397 1
0.5%
342 1
0.5%
335 1
0.5%
308 1
0.5%
304 1
0.5%
301 1
0.5%
294 1
0.5%
291 1
0.5%

12.3
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.98995
Minimum3
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:10.364197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median12
Q318
95-th percentile31.1
Maximum70
Range67
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.0720962
Coefficient of variation (CV)0.64847239
Kurtosis7.1093748
Mean13.98995
Median Absolute Deviation (MAD)5
Skewness1.9632366
Sum2784
Variance82.302929
MonotonicityNot monotonic
2023-12-10T15:23:10.930504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10 15
 
7.5%
9 15
 
7.5%
15 14
 
7.0%
7 14
 
7.0%
5 13
 
6.5%
6 13
 
6.5%
11 10
 
5.0%
12 10
 
5.0%
19 8
 
4.0%
13 7
 
3.5%
Other values (27) 80
40.2%
ValueCountFrequency (%)
3 4
 
2.0%
4 7
3.5%
5 13
6.5%
6 13
6.5%
7 14
7.0%
8 7
3.5%
9 15
7.5%
10 15
7.5%
11 10
5.0%
12 10
5.0%
ValueCountFrequency (%)
70 1
 
0.5%
44 1
 
0.5%
39 1
 
0.5%
37 1
 
0.5%
35 2
1.0%
34 2
1.0%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 3
1.5%

15.6
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.276382
Minimum3
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:11.147074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median13
Q320
95-th percentile34.1
Maximum57
Range54
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.7239159
Coefficient of variation (CV)0.63653265
Kurtosis2.6092375
Mean15.276382
Median Absolute Deviation (MAD)6
Skewness1.4835332
Sum3040
Variance94.55454
MonotonicityNot monotonic
2023-12-10T15:23:11.387896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 15
 
7.5%
6 14
 
7.0%
11 13
 
6.5%
9 12
 
6.0%
8 12
 
6.0%
14 11
 
5.5%
12 9
 
4.5%
13 9
 
4.5%
18 8
 
4.0%
5 8
 
4.0%
Other values (29) 88
44.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 6
 
3.0%
5 8
4.0%
6 14
7.0%
7 15
7.5%
8 12
6.0%
9 12
6.0%
10 7
3.5%
11 13
6.5%
12 9
4.5%
ValueCountFrequency (%)
57 1
 
0.5%
53 1
 
0.5%
47 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
37 1
 
0.5%
35 3
1.5%
34 3
1.5%
33 3
1.5%

17.2
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.150754
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:11.606700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q316
95-th percentile26.1
Maximum47
Range45
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.40648
Coefficient of variation (CV)0.60954902
Kurtosis2.4556243
Mean12.150754
Median Absolute Deviation (MAD)4
Skewness1.3020748
Sum2418
Variance54.855946
MonotonicityNot monotonic
2023-12-10T15:23:11.903849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7 27
 
13.6%
6 14
 
7.0%
16 14
 
7.0%
10 13
 
6.5%
13 11
 
5.5%
4 11
 
5.5%
8 10
 
5.0%
3 9
 
4.5%
11 8
 
4.0%
5 8
 
4.0%
Other values (22) 74
37.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
 
4.5%
4 11
5.5%
5 8
 
4.0%
6 14
7.0%
7 27
13.6%
8 10
 
5.0%
9 8
 
4.0%
10 13
6.5%
11 8
 
4.0%
ValueCountFrequency (%)
47 1
0.5%
37 1
0.5%
34 1
0.5%
33 1
0.5%
31 1
0.5%
29 2
1.0%
28 1
0.5%
27 2
1.0%
26 2
1.0%
25 2
1.0%

23.2
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.60804
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:12.256740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q318.5
95-th percentile29.1
Maximum71
Range70
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation10.319988
Coefficient of variation (CV)0.81852438
Kurtosis4.8306921
Mean12.60804
Median Absolute Deviation (MAD)6
Skewness1.6104278
Sum2509
Variance106.50216
MonotonicityNot monotonic
2023-12-10T15:23:12.535400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
10 15
 
7.5%
3 14
 
7.0%
2 14
 
7.0%
1 12
 
6.0%
11 12
 
6.0%
7 10
 
5.0%
6 10
 
5.0%
4 9
 
4.5%
8 8
 
4.0%
5 8
 
4.0%
Other values (27) 87
43.7%
ValueCountFrequency (%)
1 12
6.0%
2 14
7.0%
3 14
7.0%
4 9
4.5%
5 8
4.0%
6 10
5.0%
7 10
5.0%
8 8
4.0%
9 4
 
2.0%
10 15
7.5%
ValueCountFrequency (%)
71 1
 
0.5%
47 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
38 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
30 3
1.5%
29 2
1.0%
28 3
1.5%

12.4
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.316583
Minimum3
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:12.759685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q326
95-th percentile55.2
Maximum76
Range73
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.229269
Coefficient of variation (CV)0.79881882
Kurtosis1.9283354
Mean20.316583
Median Absolute Deviation (MAD)7
Skewness1.5483984
Sum4043
Variance263.38917
MonotonicityNot monotonic
2023-12-10T15:23:13.014645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
6.5%
12 12
 
6.0%
7 12
 
6.0%
11 11
 
5.5%
17 11
 
5.5%
10 10
 
5.0%
8 10
 
5.0%
9 10
 
5.0%
18 8
 
4.0%
5 8
 
4.0%
Other values (41) 94
47.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 2
 
1.0%
5 8
4.0%
6 13
6.5%
7 12
6.0%
8 10
5.0%
9 10
5.0%
10 10
5.0%
11 11
5.5%
12 12
6.0%
ValueCountFrequency (%)
76 2
1.0%
73 1
0.5%
68 2
1.0%
66 2
1.0%
61 1
0.5%
57 2
1.0%
55 1
0.5%
54 2
1.0%
53 1
0.5%
52 1
0.5%

11.4
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.407035
Minimum2
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:13.242525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q319
95-th percentile33.1
Maximum73
Range71
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.446117
Coefficient of variation (CV)0.72507057
Kurtosis4.9437642
Mean14.407035
Median Absolute Deviation (MAD)5
Skewness1.7734634
Sum2867
Variance109.12136
MonotonicityNot monotonic
2023-12-10T15:23:13.471232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 15
 
7.5%
8 15
 
7.5%
6 12
 
6.0%
9 12
 
6.0%
7 11
 
5.5%
14 11
 
5.5%
4 11
 
5.5%
13 10
 
5.0%
10 10
 
5.0%
11 9
 
4.5%
Other values (29) 83
41.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 3
 
1.5%
4 11
5.5%
5 15
7.5%
6 12
6.0%
7 11
5.5%
8 15
7.5%
9 12
6.0%
10 10
5.0%
11 9
4.5%
ValueCountFrequency (%)
73 1
 
0.5%
51 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
38 2
1.0%
37 2
1.0%
34 1
 
0.5%
33 1
 
0.5%
32 3
1.5%

15.7
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.487437
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:13.716351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q318
95-th percentile36.2
Maximum68
Range67
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.520235
Coefficient of variation (CV)0.7261626
Kurtosis3.8192574
Mean14.487437
Median Absolute Deviation (MAD)5
Skewness1.7418823
Sum2883
Variance110.67535
MonotonicityNot monotonic
2023-12-10T15:23:13.948650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 20
 
10.1%
11 16
 
8.0%
9 16
 
8.0%
8 11
 
5.5%
5 11
 
5.5%
10 10
 
5.0%
7 9
 
4.5%
12 8
 
4.0%
4 8
 
4.0%
18 8
 
4.0%
Other values (32) 82
41.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 8
 
4.0%
5 11
5.5%
6 20
10.1%
7 9
4.5%
8 11
5.5%
9 16
8.0%
10 10
5.0%
ValueCountFrequency (%)
68 1
 
0.5%
47 1
 
0.5%
46 2
1.0%
42 1
 
0.5%
41 4
2.0%
38 1
 
0.5%
36 1
 
0.5%
35 2
1.0%
34 2
1.0%
33 1
 
0.5%

17.3
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.572864
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:14.156581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15.5
median9
Q316
95-th percentile25
Maximum50
Range49
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation7.9272874
Coefficient of variation (CV)0.68498923
Kurtosis3.3915004
Mean11.572864
Median Absolute Deviation (MAD)4
Skewness1.5130517
Sum2303
Variance62.841886
MonotonicityNot monotonic
2023-12-10T15:23:14.364247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 22
 
11.1%
7 16
 
8.0%
8 16
 
8.0%
4 12
 
6.0%
9 11
 
5.5%
17 10
 
5.0%
10 10
 
5.0%
6 9
 
4.5%
3 8
 
4.0%
13 8
 
4.0%
Other values (23) 77
38.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 6
 
3.0%
3 8
 
4.0%
4 12
6.0%
5 22
11.1%
6 9
4.5%
7 16
8.0%
8 16
8.0%
9 11
5.5%
10 10
5.0%
ValueCountFrequency (%)
50 1
 
0.5%
41 1
 
0.5%
40 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
29 1
 
0.5%
28 2
1.0%
25 2
1.0%
24 3
1.5%

27.1
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.211055
Minimum1
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:14.611615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median12
Q323
95-th percentile37
Maximum88
Range87
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.916424
Coefficient of variation (CV)0.90889973
Kurtosis4.7254482
Mean14.211055
Median Absolute Deviation (MAD)9
Skewness1.5662999
Sum2828
Variance166.83402
MonotonicityNot monotonic
2023-12-10T15:23:14.817942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2 19
 
9.5%
1 19
 
9.5%
3 18
 
9.0%
12 13
 
6.5%
30 9
 
4.5%
26 9
 
4.5%
8 9
 
4.5%
5 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
Other values (32) 81
40.7%
ValueCountFrequency (%)
1 19
9.5%
2 19
9.5%
3 18
9.0%
4 7
 
3.5%
5 8
4.0%
6 2
 
1.0%
7 3
 
1.5%
8 9
4.5%
9 5
 
2.5%
10 4
 
2.0%
ValueCountFrequency (%)
88 1
 
0.5%
53 1
 
0.5%
52 1
 
0.5%
51 1
 
0.5%
43 1
 
0.5%
39 1
 
0.5%
38 2
1.0%
37 3
1.5%
34 1
 
0.5%
33 2
1.0%

37.1
Real number (ℝ)

Distinct86
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.839196
Minimum9
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:15.077520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile13
Q120
median36
Q358.5
95-th percentile107.9
Maximum233
Range224
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation35.441434
Coefficient of variation (CV)0.77316875
Kurtosis7.3220843
Mean45.839196
Median Absolute Deviation (MAD)16
Skewness2.2444765
Sum9122
Variance1256.0952
MonotonicityNot monotonic
2023-12-10T15:23:15.293229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 8
 
4.0%
35 7
 
3.5%
20 7
 
3.5%
19 6
 
3.0%
25 5
 
2.5%
22 5
 
2.5%
14 5
 
2.5%
44 5
 
2.5%
38 5
 
2.5%
13 5
 
2.5%
Other values (76) 141
70.9%
ValueCountFrequency (%)
9 1
 
0.5%
11 4
2.0%
12 2
 
1.0%
13 5
2.5%
14 5
2.5%
15 3
 
1.5%
16 5
2.5%
17 5
2.5%
18 8
4.0%
19 6
3.0%
ValueCountFrequency (%)
233 1
0.5%
230 1
0.5%
162 1
0.5%
155 1
0.5%
147 1
0.5%
129 1
0.5%
125 1
0.5%
124 1
0.5%
118 1
0.5%
116 1
0.5%

73.1
Real number (ℝ)

Distinct123
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean102.03518
Minimum15
Maximum594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:15.527494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile28
Q143.5
median75
Q3119.5
95-th percentile261.5
Maximum594
Range579
Interquartile range (IQR)76

Descriptive statistics

Standard deviation85.862315
Coefficient of variation (CV)0.8414972
Kurtosis7.2179027
Mean102.03518
Median Absolute Deviation (MAD)35
Skewness2.2789926
Sum20305
Variance7372.3371
MonotonicityNot monotonic
2023-12-10T15:23:15.795693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 6
 
3.0%
39 6
 
3.0%
51 5
 
2.5%
40 5
 
2.5%
67 4
 
2.0%
45 4
 
2.0%
74 4
 
2.0%
73 3
 
1.5%
94 3
 
1.5%
55 3
 
1.5%
Other values (113) 156
78.4%
ValueCountFrequency (%)
15 1
0.5%
18 1
0.5%
20 1
0.5%
21 1
0.5%
23 1
0.5%
24 1
0.5%
26 1
0.5%
27 2
1.0%
28 2
1.0%
30 2
1.0%
ValueCountFrequency (%)
594 1
0.5%
471 1
0.5%
415 1
0.5%
358 1
0.5%
331 1
0.5%
320 1
0.5%
307 1
0.5%
296 1
0.5%
277 1
0.5%
275 1
0.5%

37.2
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.20603
Minimum8
Maximum296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:16.061366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14.9
Q123
median39
Q363
95-th percentile162.2
Maximum296
Range288
Interquartile range (IQR)40

Descriptive statistics

Standard deviation48.725398
Coefficient of variation (CV)0.88261007
Kurtosis5.0919876
Mean55.20603
Median Absolute Deviation (MAD)18
Skewness2.1004237
Sum10986
Variance2374.1644
MonotonicityNot monotonic
2023-12-10T15:23:16.632579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 8
 
4.0%
19 8
 
4.0%
16 6
 
3.0%
20 6
 
3.0%
21 6
 
3.0%
23 5
 
2.5%
48 5
 
2.5%
32 5
 
2.5%
39 5
 
2.5%
49 4
 
2.0%
Other values (81) 141
70.9%
ValueCountFrequency (%)
8 1
 
0.5%
9 1
 
0.5%
11 2
 
1.0%
12 3
1.5%
13 1
 
0.5%
14 2
 
1.0%
15 3
1.5%
16 6
3.0%
17 3
1.5%
18 3
1.5%
ValueCountFrequency (%)
296 1
0.5%
268 1
0.5%
221 1
0.5%
195 1
0.5%
190 1
0.5%
186 1
0.5%
176 1
0.5%
172 1
0.5%
170 1
0.5%
164 1
0.5%

6.4
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3366834
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:16.855310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q311
95-th percentile27.3
Maximum60
Range59
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.9669545
Coefficient of variation (CV)0.96040041
Kurtosis7.0676082
Mean9.3366834
Median Absolute Deviation (MAD)3
Skewness2.3552334
Sum1858
Variance80.406274
MonotonicityNot monotonic
2023-12-10T15:23:17.058182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 29
14.6%
4 23
11.6%
5 19
9.5%
6 17
 
8.5%
2 16
 
8.0%
7 16
 
8.0%
8 13
 
6.5%
10 7
 
3.5%
9 6
 
3.0%
17 6
 
3.0%
Other values (24) 47
23.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 16
8.0%
3 29
14.6%
4 23
11.6%
5 19
9.5%
6 17
8.5%
7 16
8.0%
8 13
6.5%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
60 1
0.5%
46 1
0.5%
42 1
0.5%
38 1
0.5%
35 1
0.5%
34 1
0.5%
31 2
1.0%
30 2
1.0%
27 1
0.5%
26 2
1.0%

6.5
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6532663
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:17.283723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q312
95-th percentile28.1
Maximum58
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.7551068
Coefficient of variation (CV)0.90695797
Kurtosis7.1974818
Mean9.6532663
Median Absolute Deviation (MAD)4
Skewness2.3340662
Sum1921
Variance76.651896
MonotonicityNot monotonic
2023-12-10T15:23:17.511727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 30
15.1%
5 22
11.1%
4 19
 
9.5%
7 18
 
9.0%
8 14
 
7.0%
2 11
 
5.5%
6 11
 
5.5%
10 8
 
4.0%
9 7
 
3.5%
14 6
 
3.0%
Other values (23) 53
26.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
 
5.5%
3 30
15.1%
4 19
9.5%
5 22
11.1%
6 11
 
5.5%
7 18
9.0%
8 14
7.0%
9 7
 
3.5%
10 8
 
4.0%
ValueCountFrequency (%)
58 1
0.5%
49 1
0.5%
43 1
0.5%
37 1
0.5%
33 1
0.5%
32 2
1.0%
30 1
0.5%
29 2
1.0%
28 2
1.0%
26 1
0.5%

7.4
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.98995
Minimum2
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:17.741932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q313.5
95-th percentile28.2
Maximum81
Range79
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation10.665715
Coefficient of variation (CV)0.97049715
Kurtosis13.420596
Mean10.98995
Median Absolute Deviation (MAD)3
Skewness3.0800493
Sum2187
Variance113.75747
MonotonicityNot monotonic
2023-12-10T15:23:17.989439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 24
 
12.1%
6 20
 
10.1%
3 19
 
9.5%
5 16
 
8.0%
7 13
 
6.5%
9 12
 
6.0%
8 10
 
5.0%
10 9
 
4.5%
2 8
 
4.0%
17 7
 
3.5%
Other values (24) 61
30.7%
ValueCountFrequency (%)
2 8
 
4.0%
3 19
9.5%
4 24
12.1%
5 16
8.0%
6 20
10.1%
7 13
6.5%
8 10
5.0%
9 12
6.0%
10 9
 
4.5%
11 6
 
3.0%
ValueCountFrequency (%)
81 1
 
0.5%
64 1
 
0.5%
55 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
40 1
 
0.5%
31 3
1.5%
30 1
 
0.5%
28 1
 
0.5%
26 4
2.0%

8.4
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9899497
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:18.242844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q39
95-th percentile19
Maximum48
Range46
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.1208288
Coefficient of variation (CV)0.76606599
Kurtosis11.35636
Mean7.9899497
Median Absolute Deviation (MAD)3
Skewness2.7036583
Sum1590
Variance37.464545
MonotonicityNot monotonic
2023-12-10T15:23:18.450949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 29
14.6%
7 22
11.1%
4 19
9.5%
8 19
9.5%
6 18
9.0%
5 16
8.0%
9 15
7.5%
2 13
6.5%
11 9
 
4.5%
12 7
 
3.5%
Other values (14) 32
16.1%
ValueCountFrequency (%)
2 13
6.5%
3 29
14.6%
4 19
9.5%
5 16
8.0%
6 18
9.0%
7 22
11.1%
8 19
9.5%
9 15
7.5%
10 4
 
2.0%
11 9
 
4.5%
ValueCountFrequency (%)
48 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
25 2
 
1.0%
24 1
 
0.5%
22 1
 
0.5%
21 2
 
1.0%
19 3
1.5%
18 1
 
0.5%
17 5
2.5%

11.5
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7286432
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:18.638326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q310
95-th percentile16.1
Maximum33
Range32
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.5987189
Coefficient of variation (CV)0.5950228
Kurtosis4.2824345
Mean7.7286432
Median Absolute Deviation (MAD)3
Skewness1.4710654
Sum1538
Variance21.148216
MonotonicityNot monotonic
2023-12-10T15:23:18.839812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 28
14.1%
7 20
10.1%
3 19
9.5%
10 17
8.5%
4 16
8.0%
6 15
7.5%
8 14
 
7.0%
11 14
 
7.0%
2 10
 
5.0%
9 10
 
5.0%
Other values (11) 36
18.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 10
 
5.0%
3 19
9.5%
4 16
8.0%
5 28
14.1%
6 15
7.5%
7 20
10.1%
8 14
7.0%
9 10
 
5.0%
10 17
8.5%
ValueCountFrequency (%)
33 1
 
0.5%
22 1
 
0.5%
20 2
 
1.0%
19 3
 
1.5%
17 3
 
1.5%
16 2
 
1.0%
15 2
 
1.0%
14 3
 
1.5%
13 10
5.0%
12 5
2.5%

5.2
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.477387
Minimum1
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:19.070473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q313.5
95-th percentile66.4
Maximum105
Range104
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation19.132664
Coefficient of variation (CV)1.3215551
Kurtosis6.2938721
Mean14.477387
Median Absolute Deviation (MAD)4
Skewness2.5383928
Sum2881
Variance366.05883
MonotonicityNot monotonic
2023-12-10T15:23:19.309531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
3 28
14.1%
5 21
 
10.6%
4 17
 
8.5%
8 15
 
7.5%
2 12
 
6.0%
6 11
 
5.5%
12 11
 
5.5%
7 10
 
5.0%
9 8
 
4.0%
10 6
 
3.0%
Other values (38) 60
30.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 12
6.0%
3 28
14.1%
4 17
8.5%
5 21
10.6%
6 11
 
5.5%
7 10
 
5.0%
8 15
7.5%
9 8
 
4.0%
10 6
 
3.0%
ValueCountFrequency (%)
105 1
0.5%
96 1
0.5%
81 1
0.5%
76 1
0.5%
75 1
0.5%
74 2
1.0%
73 1
0.5%
71 1
0.5%
70 1
0.5%
66 1
0.5%

5.3
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.316583
Minimum2
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:19.547402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q313
95-th percentile35.2
Maximum72
Range70
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.001485
Coefficient of variation (CV)1.060522
Kurtosis7.0980628
Mean11.316583
Median Absolute Deviation (MAD)4
Skewness2.4903227
Sum2252
Variance144.03563
MonotonicityNot monotonic
2023-12-10T15:23:19.732617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4 22
 
11.1%
3 21
 
10.6%
5 21
 
10.6%
6 20
 
10.1%
2 15
 
7.5%
7 9
 
4.5%
10 9
 
4.5%
12 8
 
4.0%
9 8
 
4.0%
11 7
 
3.5%
Other values (30) 59
29.6%
ValueCountFrequency (%)
2 15
7.5%
3 21
10.6%
4 22
11.1%
5 21
10.6%
6 20
10.1%
7 9
4.5%
8 7
 
3.5%
9 8
 
4.0%
10 9
4.5%
11 7
 
3.5%
ValueCountFrequency (%)
72 1
0.5%
63 1
0.5%
62 1
0.5%
55 1
0.5%
51 1
0.5%
47 1
0.5%
45 1
0.5%
42 1
0.5%
40 1
0.5%
37 1
0.5%

7.5
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.79397
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:19.975539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q314
95-th percentile36
Maximum96
Range95
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.415483
Coefficient of variation (CV)1.0526975
Kurtosis14.437613
Mean11.79397
Median Absolute Deviation (MAD)4
Skewness3.1858929
Sum2347
Variance154.14421
MonotonicityNot monotonic
2023-12-10T15:23:20.233817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 22
 
11.1%
4 20
 
10.1%
6 19
 
9.5%
3 16
 
8.0%
8 14
 
7.0%
2 11
 
5.5%
10 11
 
5.5%
12 8
 
4.0%
14 7
 
3.5%
9 7
 
3.5%
Other values (29) 64
32.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
5.5%
3 16
8.0%
4 20
10.1%
5 22
11.1%
6 19
9.5%
7 6
 
3.0%
8 14
7.0%
9 7
 
3.5%
10 11
5.5%
ValueCountFrequency (%)
96 1
0.5%
75 1
0.5%
61 1
0.5%
50 1
0.5%
43 1
0.5%
42 1
0.5%
40 1
0.5%
38 1
0.5%
37 1
0.5%
36 2
1.0%

8.5
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7889447
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:20.434376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median7
Q310
95-th percentile22.1
Maximum57
Range56
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.145365
Coefficient of variation (CV)0.81299464
Kurtosis12.427169
Mean8.7889447
Median Absolute Deviation (MAD)3
Skewness2.8620862
Sum1749
Variance51.056241
MonotonicityNot monotonic
2023-12-10T15:23:20.769635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 24
12.1%
4 20
10.1%
7 19
9.5%
6 18
9.0%
5 17
8.5%
8 17
8.5%
10 16
8.0%
9 13
 
6.5%
2 9
 
4.5%
13 9
 
4.5%
Other values (19) 37
18.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 9
 
4.5%
3 24
12.1%
4 20
10.1%
5 17
8.5%
6 18
9.0%
7 19
9.5%
8 17
8.5%
9 13
6.5%
10 16
8.0%
ValueCountFrequency (%)
57 1
0.5%
39 1
0.5%
32 2
1.0%
31 2
1.0%
25 2
1.0%
24 1
0.5%
23 1
0.5%
22 1
0.5%
21 1
0.5%
20 2
1.0%

90.1
Real number (ℝ)

Distinct150
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.45226
Minimum19
Maximum1224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:21.001072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile38
Q163
median115
Q3304.5
95-th percentile688.3
Maximum1224
Range1205
Interquartile range (IQR)241.5

Descriptive statistics

Standard deviation234.95726
Coefficient of variation (CV)1.0805004
Kurtosis3.2872771
Mean217.45226
Median Absolute Deviation (MAD)65
Skewness1.8531688
Sum43273
Variance55204.916
MonotonicityNot monotonic
2023-12-10T15:23:21.253163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 4
 
2.0%
48 4
 
2.0%
93 4
 
2.0%
40 4
 
2.0%
106 3
 
1.5%
46 3
 
1.5%
80 3
 
1.5%
111 3
 
1.5%
131 3
 
1.5%
63 3
 
1.5%
Other values (140) 165
82.9%
ValueCountFrequency (%)
19 1
 
0.5%
26 1
 
0.5%
29 2
1.0%
33 1
 
0.5%
34 2
1.0%
35 1
 
0.5%
37 1
 
0.5%
38 3
1.5%
40 4
2.0%
42 2
1.0%
ValueCountFrequency (%)
1224 1
0.5%
1160 1
0.5%
1053 1
0.5%
894 1
0.5%
860 1
0.5%
855 1
0.5%
789 1
0.5%
785 1
0.5%
739 1
0.5%
700 1
0.5%

13.5
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.040201
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:21.471750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q312
95-th percentile18.2
Maximum40
Range39
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.5712458
Coefficient of variation (CV)0.61627455
Kurtosis4.4221199
Mean9.040201
Median Absolute Deviation (MAD)4
Skewness1.4621283
Sum1799
Variance31.03878
MonotonicityNot monotonic
2023-12-10T15:23:21.679948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6 23
11.6%
5 19
 
9.5%
4 18
 
9.0%
12 17
 
8.5%
8 14
 
7.0%
10 12
 
6.0%
14 12
 
6.0%
7 12
 
6.0%
9 10
 
5.0%
3 9
 
4.5%
Other values (14) 53
26.6%
ValueCountFrequency (%)
1 6
 
3.0%
2 7
 
3.5%
3 9
 
4.5%
4 18
9.0%
5 19
9.5%
6 23
11.6%
7 12
6.0%
8 14
7.0%
9 10
5.0%
10 12
6.0%
ValueCountFrequency (%)
40 1
 
0.5%
27 1
 
0.5%
24 2
 
1.0%
23 1
 
0.5%
21 2
 
1.0%
20 3
1.5%
18 3
1.5%
17 6
3.0%
16 2
 
1.0%
15 4
2.0%

45.2
Real number (ℝ)

Distinct112
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.326633
Minimum11
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:21.911063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile18.9
Q131
median55
Q3122.5
95-th percentile308
Maximum480
Range469
Interquartile range (IQR)91.5

Descriptive statistics

Standard deviation98.224176
Coefficient of variation (CV)1.0303959
Kurtosis3.028488
Mean95.326633
Median Absolute Deviation (MAD)30
Skewness1.8497462
Sum18970
Variance9647.9887
MonotonicityNot monotonic
2023-12-10T15:23:22.147141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 8
 
4.0%
23 7
 
3.5%
55 5
 
2.5%
60 5
 
2.5%
65 5
 
2.5%
31 4
 
2.0%
21 4
 
2.0%
52 4
 
2.0%
37 4
 
2.0%
19 4
 
2.0%
Other values (102) 149
74.9%
ValueCountFrequency (%)
11 1
 
0.5%
13 1
 
0.5%
14 2
1.0%
15 1
 
0.5%
16 2
1.0%
17 2
1.0%
18 1
 
0.5%
19 4
2.0%
20 3
1.5%
21 4
2.0%
ValueCountFrequency (%)
480 1
0.5%
428 1
0.5%
426 1
0.5%
420 1
0.5%
414 1
0.5%
410 1
0.5%
375 1
0.5%
366 1
0.5%
321 1
0.5%
308 2
1.0%

46
Real number (ℝ)

Distinct125
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.30653
Minimum11
Maximum739
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:22.375177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile19
Q132
median60
Q3152.5
95-th percentile402
Maximum739
Range728
Interquartile range (IQR)120.5

Descriptive statistics

Standard deviation132.7512
Coefficient of variation (CV)1.1126901
Kurtosis3.4595837
Mean119.30653
Median Absolute Deviation (MAD)34
Skewness1.881292
Sum23742
Variance17622.88
MonotonicityNot monotonic
2023-12-10T15:23:22.603688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 6
 
3.0%
26 5
 
2.5%
48 5
 
2.5%
28 4
 
2.0%
59 4
 
2.0%
23 4
 
2.0%
25 4
 
2.0%
57 3
 
1.5%
22 3
 
1.5%
87 3
 
1.5%
Other values (115) 158
79.4%
ValueCountFrequency (%)
11 1
 
0.5%
14 1
 
0.5%
15 2
1.0%
16 1
 
0.5%
17 2
1.0%
18 2
1.0%
19 2
1.0%
20 3
1.5%
21 3
1.5%
22 3
1.5%
ValueCountFrequency (%)
739 1
0.5%
602 1
0.5%
585 1
0.5%
514 1
0.5%
457 1
0.5%
428 1
0.5%
422 1
0.5%
410 1
0.5%
405 1
0.5%
402 2
1.0%

7.6
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.638191
Minimum2
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:23.191612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q327.5
95-th percentile77
Maximum139
Range137
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation26.427904
Coefficient of variation (CV)1.2213546
Kurtosis3.5830103
Mean21.638191
Median Absolute Deviation (MAD)6
Skewness1.9557786
Sum4306
Variance698.43409
MonotonicityNot monotonic
2023-12-10T15:23:23.391443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
3 16
 
8.0%
5 14
 
7.0%
7 14
 
7.0%
6 13
 
6.5%
10 12
 
6.0%
8 10
 
5.0%
9 9
 
4.5%
11 8
 
4.0%
12 6
 
3.0%
Other values (47) 80
40.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 16
8.0%
4 17
8.5%
5 14
7.0%
6 13
6.5%
7 14
7.0%
8 10
5.0%
9 9
4.5%
10 12
6.0%
11 8
4.0%
ValueCountFrequency (%)
139 1
0.5%
129 1
0.5%
110 1
0.5%
100 1
0.5%
95 1
0.5%
92 1
0.5%
86 1
0.5%
81 1
0.5%
79 1
0.5%
77 2
1.0%

7.7
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.075377
Minimum2
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:23.650364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q326
95-th percentile72.5
Maximum119
Range117
Interquartile range (IQR)20

Descriptive statistics

Standard deviation24.601867
Coefficient of variation (CV)1.1673275
Kurtosis3.2799245
Mean21.075377
Median Absolute Deviation (MAD)6
Skewness1.936133
Sum4194
Variance605.25187
MonotonicityNot monotonic
2023-12-10T15:23:23.980034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
6 14
 
7.0%
7 14
 
7.0%
3 13
 
6.5%
10 12
 
6.0%
8 11
 
5.5%
5 11
 
5.5%
9 9
 
4.5%
11 7
 
3.5%
13 7
 
3.5%
Other values (45) 84
42.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 13
6.5%
4 17
8.5%
5 11
5.5%
6 14
7.0%
7 14
7.0%
8 11
5.5%
9 9
4.5%
10 12
6.0%
11 7
3.5%
ValueCountFrequency (%)
119 1
0.5%
108 1
0.5%
105 1
0.5%
102 1
0.5%
97 1
0.5%
96 1
0.5%
94 2
1.0%
81 1
0.5%
77 1
0.5%
72 1
0.5%

8.6
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.653266
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:24.233055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q331
95-th percentile80.8
Maximum146
Range144
Interquartile range (IQR)25

Descriptive statistics

Standard deviation28.084206
Coefficient of variation (CV)1.1873289
Kurtosis5.0936393
Mean23.653266
Median Absolute Deviation (MAD)7
Skewness2.1935591
Sum4707
Variance788.7226
MonotonicityNot monotonic
2023-12-10T15:23:24.510740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
5 14
 
7.0%
6 12
 
6.0%
8 12
 
6.0%
7 10
 
5.0%
9 9
 
4.5%
12 9
 
4.5%
3 8
 
4.0%
10 8
 
4.0%
11 8
 
4.0%
Other values (56) 93
46.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 8
4.0%
4 16
8.0%
5 14
7.0%
6 12
6.0%
7 10
5.0%
8 12
6.0%
9 9
4.5%
10 8
4.0%
11 8
4.0%
ValueCountFrequency (%)
146 1
0.5%
142 1
0.5%
136 1
0.5%
129 1
0.5%
110 1
0.5%
107 1
0.5%
100 1
0.5%
93 1
0.5%
90 1
0.5%
88 1
0.5%

10.5
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.025126
Minimum2
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:24.783791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q320.5
95-th percentile52.4
Maximum80
Range78
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation15.798426
Coefficient of variation (CV)0.98585351
Kurtosis4.1667303
Mean16.025126
Median Absolute Deviation (MAD)5
Skewness2.0476241
Sum3189
Variance249.59027
MonotonicityNot monotonic
2023-12-10T15:23:25.040525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4 22
 
11.1%
9 21
 
10.6%
11 14
 
7.0%
5 13
 
6.5%
6 12
 
6.0%
7 11
 
5.5%
10 9
 
4.5%
3 9
 
4.5%
8 7
 
3.5%
27 6
 
3.0%
Other values (36) 75
37.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
4.5%
4 22
11.1%
5 13
6.5%
6 12
6.0%
7 11
5.5%
8 7
 
3.5%
9 21
10.6%
10 9
4.5%
11 14
7.0%
ValueCountFrequency (%)
80 1
0.5%
77 1
0.5%
75 1
0.5%
69 2
1.0%
67 1
0.5%
61 1
0.5%
57 1
0.5%
56 2
1.0%
52 1
0.5%
50 1
0.5%

13.6
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.643216
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:25.357308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median11
Q315.5
95-th percentile31
Maximum46
Range44
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation8.1164717
Coefficient of variation (CV)0.64196259
Kurtosis3.0084417
Mean12.643216
Median Absolute Deviation (MAD)5
Skewness1.5786274
Sum2516
Variance65.877113
MonotonicityNot monotonic
2023-12-10T15:23:25.569907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 24
 
12.1%
10 14
 
7.0%
12 14
 
7.0%
4 13
 
6.5%
14 13
 
6.5%
9 12
 
6.0%
13 12
 
6.0%
5 10
 
5.0%
8 9
 
4.5%
7 9
 
4.5%
Other values (24) 69
34.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 3
 
1.5%
4 13
6.5%
5 10
5.0%
6 24
12.1%
7 9
 
4.5%
8 9
 
4.5%
9 12
6.0%
10 14
7.0%
11 7
 
3.5%
ValueCountFrequency (%)
46 2
1.0%
40 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
33 1
 
0.5%
32 2
1.0%
31 3
1.5%
30 1
 
0.5%
27 2
1.0%
26 2
1.0%

7.8
Real number (ℝ)

Distinct73
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.859296
Minimum2
Maximum266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:25.812723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q339
95-th percentile160.6
Maximum266
Range264
Interquartile range (IQR)33

Descriptive statistics

Standard deviation54.016087
Coefficient of variation (CV)1.4654671
Kurtosis4.0408499
Mean36.859296
Median Absolute Deviation (MAD)7
Skewness2.1208825
Sum7335
Variance2917.7377
MonotonicityNot monotonic
2023-12-10T15:23:26.078723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
8.5%
6 16
 
8.0%
4 16
 
8.0%
7 11
 
5.5%
5 11
 
5.5%
10 10
 
5.0%
12 8
 
4.0%
9 8
 
4.0%
11 5
 
2.5%
14 4
 
2.0%
Other values (63) 93
46.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 17
8.5%
4 16
8.0%
5 11
5.5%
6 16
8.0%
7 11
5.5%
8 3
 
1.5%
9 8
4.0%
10 10
5.0%
11 5
 
2.5%
ValueCountFrequency (%)
266 1
0.5%
252 1
0.5%
215 1
0.5%
205 1
0.5%
202 1
0.5%
201 1
0.5%
197 1
0.5%
191 1
0.5%
169 1
0.5%
166 1
0.5%

6.6
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.261307
Minimum2
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:26.327367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median12
Q329.5
95-th percentile98.3
Maximum147
Range145
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation30.21559
Coefficient of variation (CV)1.245423
Kurtosis4.3771616
Mean24.261307
Median Absolute Deviation (MAD)7
Skewness2.1316751
Sum4828
Variance912.98188
MonotonicityNot monotonic
2023-12-10T15:23:26.664909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 19
 
9.5%
6 14
 
7.0%
3 13
 
6.5%
4 13
 
6.5%
7 9
 
4.5%
8 9
 
4.5%
14 7
 
3.5%
21 7
 
3.5%
2 6
 
3.0%
12 6
 
3.0%
Other values (53) 96
48.2%
ValueCountFrequency (%)
2 6
 
3.0%
3 13
6.5%
4 13
6.5%
5 19
9.5%
6 14
7.0%
7 9
4.5%
8 9
4.5%
9 5
 
2.5%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
147 1
0.5%
145 1
0.5%
142 1
0.5%
122 1
0.5%
121 1
0.5%
116 1
0.5%
115 1
0.5%
104 1
0.5%
103 1
0.5%
101 1
0.5%

558994
Real number (ℝ)

Distinct197
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean550397.93
Minimum541453
Maximum562856
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:26.934475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum541453
5-th percentile542694.9
Q1545466.5
median549589
Q3554082.5
95-th percentile560422.4
Maximum562856
Range21403
Interquartile range (IQR)8616

Descriptive statistics

Standard deviation5955.3691
Coefficient of variation (CV)0.010820115
Kurtosis-0.97501222
Mean550397.93
Median Absolute Deviation (MAD)4271
Skewness0.48318762
Sum1.0952919 × 108
Variance35466421
MonotonicityNot monotonic
2023-12-10T15:23:27.166406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
551673 2
 
1.0%
558535 2
 
1.0%
553860 1
 
0.5%
550105 1
 
0.5%
557582 1
 
0.5%
547157 1
 
0.5%
551370 1
 
0.5%
548357 1
 
0.5%
544343 1
 
0.5%
546375 1
 
0.5%
Other values (187) 187
94.0%
ValueCountFrequency (%)
541453 1
0.5%
541513 1
0.5%
541682 1
0.5%
541760 1
0.5%
542090 1
0.5%
542443 1
0.5%
542475 1
0.5%
542542 1
0.5%
542544 1
0.5%
542685 1
0.5%
ValueCountFrequency (%)
562856 1
0.5%
562629 1
0.5%
562605 1
0.5%
562603 1
0.5%
561026 1
0.5%
560985 1
0.5%
560725 1
0.5%
560697 1
0.5%
560610 1
0.5%
560489 1
0.5%

246
Real number (ℝ)

Distinct160
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260.42211
Minimum9
Maximum1053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:27.419598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile83.9
Q1139.5
median228
Q3331.5
95-th percentile530.2
Maximum1053
Range1044
Interquartile range (IQR)192

Descriptive statistics

Standard deviation159.14939
Coefficient of variation (CV)0.61112088
Kurtosis4.2820975
Mean260.42211
Median Absolute Deviation (MAD)93
Skewness1.6481722
Sum51824
Variance25328.528
MonotonicityNot monotonic
2023-12-10T15:23:27.700294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
174 3
 
1.5%
379 3
 
1.5%
131 3
 
1.5%
93 3
 
1.5%
320 3
 
1.5%
466 2
 
1.0%
141 2
 
1.0%
203 2
 
1.0%
292 2
 
1.0%
207 2
 
1.0%
Other values (150) 174
87.4%
ValueCountFrequency (%)
9 1
0.5%
51 1
0.5%
60 1
0.5%
65 1
0.5%
72 2
1.0%
79 1
0.5%
81 1
0.5%
82 1
0.5%
83 1
0.5%
84 1
0.5%
ValueCountFrequency (%)
1053 1
0.5%
893 1
0.5%
789 1
0.5%
780 1
0.5%
735 1
0.5%
689 1
0.5%
617 1
0.5%
558 1
0.5%
550 1
0.5%
532 1
0.5%

8.7
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.236181
Minimum2
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:27.953194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q334.5
95-th percentile92.2
Maximum220
Range218
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation31.056799
Coefficient of variation (CV)1.2306457
Kurtosis9.5675316
Mean25.236181
Median Absolute Deviation (MAD)8
Skewness2.6415941
Sum5022
Variance964.52474
MonotonicityNot monotonic
2023-12-10T15:23:28.203321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
3 15
 
7.5%
4 13
 
6.5%
5 11
 
5.5%
7 10
 
5.0%
12 10
 
5.0%
10 9
 
4.5%
8 9
 
4.5%
17 6
 
3.0%
14 5
 
2.5%
Other values (58) 95
47.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 15
7.5%
4 13
6.5%
5 11
5.5%
6 16
8.0%
7 10
5.0%
8 9
4.5%
9 5
 
2.5%
10 9
4.5%
11 3
 
1.5%
ValueCountFrequency (%)
220 1
0.5%
155 1
0.5%
125 1
0.5%
121 1
0.5%
113 1
0.5%
109 1
0.5%
108 1
0.5%
107 1
0.5%
100 1
0.5%
94 1
0.5%

9.2
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.914573
Minimum2
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:28.919104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q323.5
95-th percentile54.5
Maximum112
Range110
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation18.543635
Coefficient of variation (CV)1.0351146
Kurtosis6.1025279
Mean17.914573
Median Absolute Deviation (MAD)5
Skewness2.2798696
Sum3565
Variance343.8664
MonotonicityNot monotonic
2023-12-10T15:23:29.151022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 17
 
8.5%
4 16
 
8.0%
6 13
 
6.5%
5 13
 
6.5%
7 12
 
6.0%
8 10
 
5.0%
10 10
 
5.0%
12 10
 
5.0%
3 10
 
5.0%
17 5
 
2.5%
Other values (40) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 10
5.0%
4 16
8.0%
5 13
6.5%
6 13
6.5%
7 12
6.0%
8 10
5.0%
9 17
8.5%
10 10
5.0%
11 5
 
2.5%
ValueCountFrequency (%)
112 1
0.5%
98 1
0.5%
84 2
1.0%
76 1
0.5%
75 1
0.5%
63 2
1.0%
62 1
0.5%
59 1
0.5%
54 1
0.5%
53 2
1.0%

15.8
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.175879
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:29.367819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median13
Q318
95-th percentile33
Maximum65
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.476728
Coefficient of variation (CV)0.69035396
Kurtosis5.2258409
Mean15.175879
Median Absolute Deviation (MAD)5
Skewness1.9846908
Sum3020
Variance109.76184
MonotonicityNot monotonic
2023-12-10T15:23:29.581216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 21
 
10.6%
15 15
 
7.5%
17 14
 
7.0%
11 12
 
6.0%
10 10
 
5.0%
5 9
 
4.5%
9 9
 
4.5%
16 9
 
4.5%
6 8
 
4.0%
8 8
 
4.0%
Other values (31) 84
42.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
4 7
 
3.5%
5 9
4.5%
6 8
 
4.0%
7 21
10.6%
8 8
 
4.0%
9 9
4.5%
10 10
5.0%
ValueCountFrequency (%)
65 1
 
0.5%
56 1
 
0.5%
55 1
 
0.5%
54 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
45 1
 
0.5%
39 1
 
0.5%
35 1
 
0.5%
33 3
1.5%

124.1
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.35176
Minimum3
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:29.826008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile41
Q164
median109
Q3151
95-th percentile238.5
Maximum403
Range400
Interquartile range (IQR)87

Descriptive statistics

Standard deviation68.434787
Coefficient of variation (CV)0.58315945
Kurtosis3.8071674
Mean117.35176
Median Absolute Deviation (MAD)44
Skewness1.6043361
Sum23353
Variance4683.3201
MonotonicityNot monotonic
2023-12-10T15:23:30.106500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 5
 
2.5%
127 4
 
2.0%
130 4
 
2.0%
58 4
 
2.0%
76 4
 
2.0%
154 3
 
1.5%
59 3
 
1.5%
163 3
 
1.5%
64 3
 
1.5%
48 3
 
1.5%
Other values (112) 163
81.9%
ValueCountFrequency (%)
3 1
 
0.5%
23 1
 
0.5%
28 1
 
0.5%
29 1
 
0.5%
35 1
 
0.5%
39 3
1.5%
40 1
 
0.5%
41 2
1.0%
43 2
1.0%
44 2
1.0%
ValueCountFrequency (%)
403 1
0.5%
393 2
1.0%
351 1
0.5%
339 1
0.5%
304 1
0.5%
266 1
0.5%
252 1
0.5%
249 1
0.5%
243 1
0.5%
238 1
0.5%

125
Real number (ℝ)

Distinct142
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.33668
Minimum3
Maximum562
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:30.381125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile45.7
Q175
median121
Q3180.5
95-th percentile302.4
Maximum562
Range559
Interquartile range (IQR)105.5

Descriptive statistics

Standard deviation90.613633
Coefficient of variation (CV)0.64568744
Kurtosis4.8701021
Mean140.33668
Median Absolute Deviation (MAD)51
Skewness1.8012964
Sum27927
Variance8210.8305
MonotonicityNot monotonic
2023-12-10T15:23:30.626953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 4
 
2.0%
88 4
 
2.0%
71 3
 
1.5%
98 3
 
1.5%
76 3
 
1.5%
87 3
 
1.5%
86 3
 
1.5%
64 3
 
1.5%
65 2
 
1.0%
116 2
 
1.0%
Other values (132) 169
84.9%
ValueCountFrequency (%)
3 1
0.5%
25 1
0.5%
31 2
1.0%
33 1
0.5%
38 1
0.5%
40 1
0.5%
41 2
1.0%
43 1
0.5%
46 1
0.5%
48 2
1.0%
ValueCountFrequency (%)
562 1
0.5%
552 1
0.5%
486 1
0.5%
463 1
0.5%
376 1
0.5%
362 1
0.5%
324 1
0.5%
312 1
0.5%
307 1
0.5%
306 1
0.5%

19.2
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.773869
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:30.887817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median19
Q329.5
95-th percentile53.1
Maximum100
Range99
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation14.921144
Coefficient of variation (CV)0.65518702
Kurtosis3.8837713
Mean22.773869
Median Absolute Deviation (MAD)8
Skewness1.616417
Sum4532
Variance222.64053
MonotonicityNot monotonic
2023-12-10T15:23:31.183173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 13
 
6.5%
10 10
 
5.0%
8 10
 
5.0%
14 9
 
4.5%
11 9
 
4.5%
16 8
 
4.0%
19 8
 
4.0%
28 7
 
3.5%
20 7
 
3.5%
22 7
 
3.5%
Other values (43) 111
55.8%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
6 4
 
2.0%
7 5
 
2.5%
8 10
5.0%
9 6
3.0%
10 10
5.0%
11 9
4.5%
12 13
6.5%
13 6
3.0%
ValueCountFrequency (%)
100 1
0.5%
75 1
0.5%
73 1
0.5%
59 1
0.5%
58 2
1.0%
57 2
1.0%
55 1
0.5%
54 1
0.5%
53 1
0.5%
50 1
0.5%

19.3
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.085427
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:31.479291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q112.5
median20
Q329
95-th percentile52.1
Maximum109
Range108
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation15.463144
Coefficient of variation (CV)0.66982274
Kurtosis7.5775758
Mean23.085427
Median Absolute Deviation (MAD)8
Skewness2.1993047
Sum4594
Variance239.10883
MonotonicityNot monotonic
2023-12-10T15:23:31.766587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 11
 
5.5%
11 10
 
5.0%
12 9
 
4.5%
9 9
 
4.5%
16 9
 
4.5%
23 9
 
4.5%
17 8
 
4.0%
22 7
 
3.5%
20 7
 
3.5%
10 6
 
3.0%
Other values (45) 114
57.3%
ValueCountFrequency (%)
1 1
 
0.5%
5 2
 
1.0%
6 3
 
1.5%
7 4
 
2.0%
8 6
3.0%
9 9
4.5%
10 6
3.0%
11 10
5.0%
12 9
4.5%
13 6
3.0%
ValueCountFrequency (%)
109 1
0.5%
98 1
0.5%
84 1
0.5%
63 1
0.5%
61 1
0.5%
60 1
0.5%
58 1
0.5%
55 1
0.5%
53 2
1.0%
52 1
0.5%

23.3
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.115578
Minimum1
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:32.031523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q114.5
median22
Q334
95-th percentile61
Maximum141
Range140
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation19.150697
Coefficient of variation (CV)0.70626181
Kurtosis8.7639111
Mean27.115578
Median Absolute Deviation (MAD)9
Skewness2.3999368
Sum5396
Variance366.7492
MonotonicityNot monotonic
2023-12-10T15:23:32.275094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 10
 
5.0%
17 10
 
5.0%
27 8
 
4.0%
10 8
 
4.0%
11 7
 
3.5%
20 7
 
3.5%
21 6
 
3.0%
33 6
 
3.0%
18 6
 
3.0%
15 6
 
3.0%
Other values (49) 125
62.8%
ValueCountFrequency (%)
1 1
 
0.5%
5 1
 
0.5%
7 5
2.5%
8 4
 
2.0%
9 4
 
2.0%
10 8
4.0%
11 7
3.5%
12 6
3.0%
13 10
5.0%
14 4
 
2.0%
ValueCountFrequency (%)
141 1
0.5%
107 1
0.5%
106 1
0.5%
92 1
0.5%
88 1
0.5%
74 1
0.5%
72 1
0.5%
67 1
0.5%
62 1
0.5%
61 2
1.0%

26.1
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.688442
Minimum0
Maximum84
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:32.554799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q112
median18
Q328
95-th percentile46.2
Maximum84
Range84
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.575952
Coefficient of variation (CV)0.62595332
Kurtosis4.7564422
Mean21.688442
Median Absolute Deviation (MAD)7
Skewness1.8347602
Sum4316
Variance184.30648
MonotonicityNot monotonic
2023-12-10T15:23:32.825640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11 17
 
8.5%
17 12
 
6.0%
24 11
 
5.5%
12 11
 
5.5%
9 9
 
4.5%
18 8
 
4.0%
21 8
 
4.0%
29 7
 
3.5%
15 7
 
3.5%
8 7
 
3.5%
Other values (39) 102
51.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 1
 
0.5%
5 1
 
0.5%
6 3
 
1.5%
7 4
 
2.0%
8 7
3.5%
9 9
4.5%
10 4
 
2.0%
11 17
8.5%
12 11
5.5%
ValueCountFrequency (%)
84 1
0.5%
80 1
0.5%
74 1
0.5%
68 1
0.5%
65 1
0.5%
58 1
0.5%
56 1
0.5%
49 2
1.0%
48 1
0.5%
46 1
0.5%

36.1
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.050251
Minimum0
Maximum111
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:33.096951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median18
Q331.5
95-th percentile46.1
Maximum111
Range111
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation15.04228
Coefficient of variation (CV)0.6821818
Kurtosis5.8873164
Mean22.050251
Median Absolute Deviation (MAD)9
Skewness1.7150279
Sum4388
Variance226.27019
MonotonicityNot monotonic
2023-12-10T15:23:33.336387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 16
 
8.0%
17 10
 
5.0%
8 9
 
4.5%
11 8
 
4.0%
20 8
 
4.0%
12 7
 
3.5%
6 6
 
3.0%
23 6
 
3.0%
16 6
 
3.0%
10 6
 
3.0%
Other values (44) 117
58.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 3
 
1.5%
4 3
 
1.5%
5 5
2.5%
6 6
3.0%
7 5
2.5%
8 9
4.5%
9 4
2.0%
10 6
3.0%
ValueCountFrequency (%)
111 1
0.5%
73 1
0.5%
67 1
0.5%
64 1
0.5%
58 1
0.5%
54 1
0.5%
50 1
0.5%
49 1
0.5%
47 2
1.0%
46 2
1.0%

144
Real number (ℝ)

Distinct155
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.62312
Minimum30
Maximum876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:33.574598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile60.8
Q197
median151
Q3240
95-th percentile576.7
Maximum876
Range846
Interquartile range (IQR)143

Descriptive statistics

Standard deviation160.81269
Coefficient of variation (CV)0.78975655
Kurtosis3.9437937
Mean203.62312
Median Absolute Deviation (MAD)68
Skewness1.9325481
Sum40521
Variance25860.721
MonotonicityNot monotonic
2023-12-10T15:23:34.117703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77 4
 
2.0%
102 3
 
1.5%
79 3
 
1.5%
64 3
 
1.5%
147 3
 
1.5%
121 3
 
1.5%
99 3
 
1.5%
124 3
 
1.5%
150 2
 
1.0%
178 2
 
1.0%
Other values (145) 170
85.4%
ValueCountFrequency (%)
30 1
0.5%
42 1
0.5%
44 1
0.5%
46 1
0.5%
47 1
0.5%
53 1
0.5%
54 1
0.5%
55 1
0.5%
56 1
0.5%
59 1
0.5%
ValueCountFrequency (%)
876 1
0.5%
835 1
0.5%
781 1
0.5%
737 1
0.5%
717 1
0.5%
683 1
0.5%
644 1
0.5%
630 1
0.5%
606 1
0.5%
601 1
0.5%

18.1
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.030151
Minimum1
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:34.357503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q113
median22
Q340
95-th percentile78.5
Maximum144
Range143
Interquartile range (IQR)27

Descriptive statistics

Standard deviation23.657042
Coefficient of variation (CV)0.78777634
Kurtosis3.4988769
Mean30.030151
Median Absolute Deviation (MAD)10
Skewness1.7275146
Sum5976
Variance559.65565
MonotonicityNot monotonic
2023-12-10T15:23:34.602450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
12 9
 
4.5%
15 8
 
4.0%
13 8
 
4.0%
17 8
 
4.0%
20 8
 
4.0%
27 7
 
3.5%
7 6
 
3.0%
24 6
 
3.0%
19 6
 
3.0%
Other values (60) 122
61.3%
ValueCountFrequency (%)
1 1
 
0.5%
5 1
 
0.5%
6 2
 
1.0%
7 6
3.0%
8 3
 
1.5%
9 11
5.5%
10 5
2.5%
11 5
2.5%
12 9
4.5%
13 8
4.0%
ValueCountFrequency (%)
144 1
0.5%
114 1
0.5%
108 1
0.5%
95 2
1.0%
93 1
0.5%
88 1
0.5%
87 1
0.5%
86 1
0.5%
83 1
0.5%
78 1
0.5%

17.4
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.562814
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:34.862122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113.5
median20
Q333
95-th percentile60.5
Maximum127
Range126
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation20.17286
Coefficient of variation (CV)0.75943985
Kurtosis5.3990979
Mean26.562814
Median Absolute Deviation (MAD)10
Skewness2.017397
Sum5286
Variance406.94427
MonotonicityNot monotonic
2023-12-10T15:23:35.134292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 12
 
6.0%
8 9
 
4.5%
10 9
 
4.5%
18 8
 
4.0%
28 7
 
3.5%
17 7
 
3.5%
14 7
 
3.5%
32 6
 
3.0%
20 6
 
3.0%
9 6
 
3.0%
Other values (49) 122
61.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 5
2.5%
7 3
 
1.5%
8 9
4.5%
9 6
3.0%
10 9
4.5%
11 6
3.0%
12 5
2.5%
ValueCountFrequency (%)
127 1
0.5%
113 1
0.5%
104 1
0.5%
93 1
0.5%
85 1
0.5%
80 1
0.5%
77 2
1.0%
67 1
0.5%
65 1
0.5%
60 2
1.0%

22.1
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.919598
Minimum1
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:35.413875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q115
median24
Q339.5
95-th percentile71.4
Maximum222
Range221
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation28.564009
Coefficient of variation (CV)0.8948737
Kurtosis14.27805
Mean31.919598
Median Absolute Deviation (MAD)11
Skewness3.1423112
Sum6352
Variance815.90259
MonotonicityNot monotonic
2023-12-10T15:23:35.626261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 9
 
4.5%
28 9
 
4.5%
16 8
 
4.0%
12 8
 
4.0%
9 8
 
4.0%
20 6
 
3.0%
15 6
 
3.0%
19 6
 
3.0%
18 6
 
3.0%
21 5
 
2.5%
Other values (53) 128
64.3%
ValueCountFrequency (%)
1 1
 
0.5%
6 5
2.5%
7 4
2.0%
8 4
2.0%
9 8
4.0%
10 5
2.5%
11 5
2.5%
12 8
4.0%
13 3
 
1.5%
14 4
2.0%
ValueCountFrequency (%)
222 1
0.5%
177 1
0.5%
148 1
0.5%
134 1
0.5%
126 1
0.5%
105 1
0.5%
96 1
0.5%
91 1
0.5%
78 1
0.5%
75 1
0.5%

26.2
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.306533
Minimum0
Maximum128
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:35.880682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median22
Q330
95-th percentile58
Maximum128
Range128
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.617757
Coefficient of variation (CV)0.69617427
Kurtosis9.5048265
Mean25.306533
Median Absolute Deviation (MAD)9
Skewness2.5150235
Sum5036
Variance310.38536
MonotonicityNot monotonic
2023-12-10T15:23:36.245193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 13
 
6.5%
13 11
 
5.5%
26 9
 
4.5%
16 8
 
4.0%
20 8
 
4.0%
12 8
 
4.0%
23 7
 
3.5%
17 7
 
3.5%
24 7
 
3.5%
9 7
 
3.5%
Other values (46) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 2
 
1.0%
7 1
 
0.5%
8 5
 
2.5%
9 7
3.5%
10 1
 
0.5%
11 13
6.5%
12 8
4.0%
ValueCountFrequency (%)
128 1
0.5%
113 1
0.5%
94 1
0.5%
85 1
0.5%
78 1
0.5%
67 1
0.5%
66 1
0.5%
64 1
0.5%
62 1
0.5%
58 2
1.0%

42.1
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.150754
Minimum0
Maximum136
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:36.518094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median22
Q340
95-th percentile57.2
Maximum136
Range136
Interquartile range (IQR)27

Descriptive statistics

Standard deviation18.473497
Coefficient of variation (CV)0.68040457
Kurtosis5.7028449
Mean27.150754
Median Absolute Deviation (MAD)11
Skewness1.6594738
Sum5403
Variance341.27009
MonotonicityNot monotonic
2023-12-10T15:23:36.778744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 12
 
6.0%
31 8
 
4.0%
9 8
 
4.0%
13 7
 
3.5%
11 7
 
3.5%
41 7
 
3.5%
21 7
 
3.5%
22 7
 
3.5%
26 6
 
3.0%
47 6
 
3.0%
Other values (50) 124
62.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 5
2.5%
6 1
 
0.5%
7 2
 
1.0%
8 5
2.5%
9 8
4.0%
10 4
2.0%
ValueCountFrequency (%)
136 1
 
0.5%
82 1
 
0.5%
81 2
1.0%
79 1
 
0.5%
67 1
 
0.5%
61 1
 
0.5%
60 2
1.0%
59 1
 
0.5%
57 3
1.5%
53 1
 
0.5%

73.2
Real number (ℝ)

Distinct115
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.065327
Minimum17
Maximum367
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:37.014784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile27
Q146
median74
Q3105
95-th percentile236.1
Maximum367
Range350
Interquartile range (IQR)59

Descriptive statistics

Standard deviation67.61082
Coefficient of variation (CV)0.74244306
Kurtosis4.4819264
Mean91.065327
Median Absolute Deviation (MAD)30
Skewness1.9966231
Sum18122
Variance4571.223
MonotonicityNot monotonic
2023-12-10T15:23:37.354514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50 5
 
2.5%
91 5
 
2.5%
71 5
 
2.5%
74 4
 
2.0%
70 4
 
2.0%
75 4
 
2.0%
35 4
 
2.0%
31 4
 
2.0%
44 3
 
1.5%
32 3
 
1.5%
Other values (105) 158
79.4%
ValueCountFrequency (%)
17 1
 
0.5%
21 3
1.5%
23 2
1.0%
24 1
 
0.5%
26 2
1.0%
27 2
1.0%
28 2
1.0%
29 1
 
0.5%
30 2
1.0%
31 4
2.0%
ValueCountFrequency (%)
367 1
0.5%
363 1
0.5%
354 1
0.5%
333 1
0.5%
322 1
0.5%
286 1
0.5%
282 1
0.5%
271 1
0.5%
255 2
1.0%
234 1
0.5%

73.3
Real number (ℝ)

Distinct124
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.28141
Minimum18
Maximum526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:37.700223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile29.9
Q148.5
median78
Q3129
95-th percentile280.6
Maximum526
Range508
Interquartile range (IQR)80.5

Descriptive statistics

Standard deviation91.683146
Coefficient of variation (CV)0.84671181
Kurtosis5.9322344
Mean108.28141
Median Absolute Deviation (MAD)36
Skewness2.2677921
Sum21548
Variance8405.7992
MonotonicityNot monotonic
2023-12-10T15:23:37.919950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 4
 
2.0%
32 4
 
2.0%
94 4
 
2.0%
41 4
 
2.0%
75 4
 
2.0%
46 4
 
2.0%
42 3
 
1.5%
34 3
 
1.5%
78 3
 
1.5%
77 3
 
1.5%
Other values (114) 163
81.9%
ValueCountFrequency (%)
18 1
0.5%
19 1
0.5%
22 1
0.5%
23 1
0.5%
24 1
0.5%
25 2
1.0%
27 1
0.5%
28 1
0.5%
29 1
0.5%
30 2
1.0%
ValueCountFrequency (%)
526 1
0.5%
492 1
0.5%
472 1
0.5%
465 1
0.5%
427 1
0.5%
418 1
0.5%
341 1
0.5%
335 1
0.5%
332 1
0.5%
295 1
0.5%

11.6
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.291457
Minimum3
Maximum173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:38.146080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q324
95-th percentile63.1
Maximum173
Range170
Interquartile range (IQR)16

Descriptive statistics

Standard deviation23.492003
Coefficient of variation (CV)1.1033535
Kurtosis14.028465
Mean21.291457
Median Absolute Deviation (MAD)7
Skewness3.2737164
Sum4237
Variance551.87422
MonotonicityNot monotonic
2023-12-10T15:23:38.413581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
7.0%
7 12
 
6.0%
9 11
 
5.5%
11 11
 
5.5%
8 10
 
5.0%
14 10
 
5.0%
6 10
 
5.0%
17 10
 
5.0%
13 8
 
4.0%
10 7
 
3.5%
Other values (44) 96
48.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
3.0%
5 14
7.0%
6 10
5.0%
7 12
6.0%
8 10
5.0%
9 11
5.5%
10 7
3.5%
11 11
5.5%
12 5
 
2.5%
ValueCountFrequency (%)
173 1
0.5%
143 1
0.5%
127 1
0.5%
101 1
0.5%
86 1
0.5%
83 1
0.5%
81 1
0.5%
78 1
0.5%
69 1
0.5%
64 1
0.5%

11.7
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.844221
Minimum3
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:38.742887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q323
95-th percentile51.1
Maximum110
Range107
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.887892
Coefficient of variation (CV)0.84311746
Kurtosis7.8029245
Mean18.844221
Median Absolute Deviation (MAD)7
Skewness2.4008193
Sum3750
Variance252.42511
MonotonicityNot monotonic
2023-12-10T15:23:39.002606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
13 11
 
5.5%
8 11
 
5.5%
17 10
 
5.0%
11 10
 
5.0%
6 9
 
4.5%
18 9
 
4.5%
5 9
 
4.5%
12 9
 
4.5%
9 8
 
4.0%
Other values (40) 99
49.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 7
3.5%
5 9
4.5%
6 9
4.5%
7 14
7.0%
8 11
5.5%
9 8
4.0%
10 7
3.5%
11 10
5.0%
12 9
4.5%
ValueCountFrequency (%)
110 1
0.5%
82 1
0.5%
81 1
0.5%
78 1
0.5%
64 1
0.5%
61 1
0.5%
60 1
0.5%
55 1
0.5%
53 1
0.5%
52 1
0.5%

14.1
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.080402
Minimum4
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:39.265755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.9
Q19
median16
Q325
95-th percentile56.1
Maximum124
Range120
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.69488
Coefficient of variation (CV)0.886837
Kurtosis9.1092077
Mean21.080402
Median Absolute Deviation (MAD)7
Skewness2.6265917
Sum4195
Variance349.49855
MonotonicityNot monotonic
2023-12-10T15:23:39.884095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
6.5%
13 10
 
5.0%
12 10
 
5.0%
8 10
 
5.0%
7 9
 
4.5%
17 9
 
4.5%
10 9
 
4.5%
9 9
 
4.5%
15 9
 
4.5%
20 8
 
4.0%
Other values (44) 103
51.8%
ValueCountFrequency (%)
4 6
3.0%
5 4
 
2.0%
6 13
6.5%
7 9
4.5%
8 10
5.0%
9 9
4.5%
10 9
4.5%
11 6
3.0%
12 10
5.0%
13 10
5.0%
ValueCountFrequency (%)
124 1
0.5%
111 1
0.5%
103 1
0.5%
97 1
0.5%
69 1
0.5%
66 1
0.5%
60 1
0.5%
59 1
0.5%
58 1
0.5%
57 1
0.5%

161
Real number (ℝ)

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.88945
Minimum27
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:40.161538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile42.9
Q183.5
median128
Q3195.5
95-th percentile286.4
Maximum551
Range524
Interquartile range (IQR)112

Descriptive statistics

Standard deviation82.404753
Coefficient of variation (CV)0.5726949
Kurtosis3.2490765
Mean143.88945
Median Absolute Deviation (MAD)50
Skewness1.3627338
Sum28634
Variance6790.5433
MonotonicityNot monotonic
2023-12-10T15:23:40.508547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112 4
 
2.0%
99 4
 
2.0%
89 4
 
2.0%
163 4
 
2.0%
71 3
 
1.5%
201 3
 
1.5%
143 3
 
1.5%
39 3
 
1.5%
135 3
 
1.5%
76 3
 
1.5%
Other values (126) 165
82.9%
ValueCountFrequency (%)
27 1
 
0.5%
30 1
 
0.5%
36 1
 
0.5%
39 3
1.5%
40 2
1.0%
41 1
 
0.5%
42 1
 
0.5%
43 2
1.0%
44 1
 
0.5%
46 1
 
0.5%
ValueCountFrequency (%)
551 1
0.5%
468 1
0.5%
393 1
0.5%
345 1
0.5%
342 1
0.5%
335 1
0.5%
305 1
0.5%
302 1
0.5%
291 1
0.5%
290 1
0.5%

15.9
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.874372
Minimum3
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:40.772439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median13
Q318
95-th percentile37.4
Maximum102
Range99
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.433228
Coefficient of variation (CV)0.78322643
Kurtosis13.828111
Mean15.874372
Median Absolute Deviation (MAD)5
Skewness2.9822992
Sum3159
Variance154.58515
MonotonicityNot monotonic
2023-12-10T15:23:41.075122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 18
 
9.0%
14 18
 
9.0%
9 13
 
6.5%
12 13
 
6.5%
6 12
 
6.0%
17 10
 
5.0%
18 10
 
5.0%
10 9
 
4.5%
15 8
 
4.0%
8 8
 
4.0%
Other values (31) 80
40.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 7
 
3.5%
5 7
 
3.5%
6 12
6.0%
7 18
9.0%
8 8
4.0%
9 13
6.5%
10 9
4.5%
11 7
 
3.5%
12 13
6.5%
ValueCountFrequency (%)
102 1
0.5%
70 1
0.5%
65 1
0.5%
53 1
0.5%
51 1
0.5%
47 1
0.5%
43 2
1.0%
42 1
0.5%
41 1
0.5%
37 1
0.5%

21.2
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.648241
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:41.368127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median11
Q320
95-th percentile28.1
Maximum65
Range64
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.1814968
Coefficient of variation (CV)0.67272381
Kurtosis4.400213
Mean13.648241
Median Absolute Deviation (MAD)5
Skewness1.5010894
Sum2716
Variance84.299883
MonotonicityNot monotonic
2023-12-10T15:23:41.707112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
9 16
 
8.0%
6 15
 
7.5%
4 13
 
6.5%
7 12
 
6.0%
10 12
 
6.0%
11 9
 
4.5%
20 9
 
4.5%
12 8
 
4.0%
22 8
 
4.0%
13 8
 
4.0%
Other values (25) 89
44.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 8
4.0%
4 13
6.5%
5 7
3.5%
6 15
7.5%
7 12
6.0%
8 5
 
2.5%
9 16
8.0%
10 12
6.0%
ValueCountFrequency (%)
65 1
 
0.5%
43 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
34 3
1.5%
31 2
 
1.0%
29 1
 
0.5%
28 1
 
0.5%
27 5
2.5%
26 3
1.5%

11.8
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.849246
Minimum3
Maximum260
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:42.032852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median16
Q337
95-th percentile109.2
Maximum260
Range257
Interquartile range (IQR)28

Descriptive statistics

Standard deviation40.386484
Coefficient of variation (CV)1.2680515
Kurtosis10.037302
Mean31.849246
Median Absolute Deviation (MAD)9
Skewness2.8786676
Sum6338
Variance1631.0681
MonotonicityNot monotonic
2023-12-10T15:23:42.270580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
7 11
 
5.5%
5 11
 
5.5%
16 9
 
4.5%
10 9
 
4.5%
6 9
 
4.5%
11 8
 
4.0%
8 7
 
3.5%
23 6
 
3.0%
28 6
 
3.0%
Other values (60) 112
56.3%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
3.0%
5 11
5.5%
6 9
4.5%
7 11
5.5%
8 7
3.5%
9 11
5.5%
10 9
4.5%
11 8
4.0%
12 4
 
2.0%
ValueCountFrequency (%)
260 1
0.5%
239 1
0.5%
190 1
0.5%
172 1
0.5%
158 1
0.5%
157 1
0.5%
156 1
0.5%
121 1
0.5%
112 1
0.5%
111 1
0.5%

10.6
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.251256
Minimum3
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:42.504897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18.5
median14
Q325.5
95-th percentile58.3
Maximum141
Range138
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.488249
Coefficient of variation (CV)0.9129433
Kurtosis10.355597
Mean20.251256
Median Absolute Deviation (MAD)7
Skewness2.6132524
Sum4030
Variance341.81534
MonotonicityNot monotonic
2023-12-10T15:23:42.822394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
6.5%
10 13
 
6.5%
9 12
 
6.0%
13 11
 
5.5%
8 11
 
5.5%
5 8
 
4.0%
12 7
 
3.5%
17 7
 
3.5%
7 7
 
3.5%
16 6
 
3.0%
Other values (43) 104
52.3%
ValueCountFrequency (%)
3 5
 
2.5%
4 6
3.0%
5 8
4.0%
6 13
6.5%
7 7
3.5%
8 11
5.5%
9 12
6.0%
10 13
6.5%
11 5
 
2.5%
12 7
3.5%
ValueCountFrequency (%)
141 1
0.5%
83 1
0.5%
81 1
0.5%
80 1
0.5%
79 1
0.5%
73 1
0.5%
72 1
0.5%
66 1
0.5%
62 1
0.5%
61 1
0.5%

13.7
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.361809
Minimum3
Maximum219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:43.104059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q327
95-th percentile66.9
Maximum219
Range216
Interquartile range (IQR)18

Descriptive statistics

Standard deviation25.860733
Coefficient of variation (CV)1.1069662
Kurtosis20.597128
Mean23.361809
Median Absolute Deviation (MAD)8
Skewness3.7680368
Sum4649
Variance668.77752
MonotonicityNot monotonic
2023-12-10T15:23:43.350187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
12 12
 
6.0%
7 12
 
6.0%
8 9
 
4.5%
5 9
 
4.5%
9 9
 
4.5%
16 8
 
4.0%
20 8
 
4.0%
6 8
 
4.0%
23 7
 
3.5%
Other values (47) 103
51.8%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 9
4.5%
6 8
4.0%
7 12
6.0%
8 9
4.5%
9 9
4.5%
10 14
7.0%
11 5
 
2.5%
12 12
6.0%
ValueCountFrequency (%)
219 1
0.5%
162 1
0.5%
111 1
0.5%
102 1
0.5%
91 1
0.5%
87 1
0.5%
83 1
0.5%
81 1
0.5%
78 1
0.5%
75 1
0.5%

15.10
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.462312
Minimum2
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:43.636446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q320
95-th percentile47.2
Maximum127
Range125
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.654648
Coefficient of variation (CV)0.89648202
Kurtosis16.164998
Mean17.462312
Median Absolute Deviation (MAD)5
Skewness3.3546927
Sum3475
Variance245.06802
MonotonicityNot monotonic
2023-12-10T15:23:43.955296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
7 18
 
9.0%
9 13
 
6.5%
15 12
 
6.0%
5 12
 
6.0%
8 11
 
5.5%
12 11
 
5.5%
16 10
 
5.0%
13 9
 
4.5%
10 9
 
4.5%
11 8
 
4.0%
Other values (38) 86
43.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 12
6.0%
6 6
 
3.0%
7 18
9.0%
8 11
5.5%
9 13
6.5%
10 9
4.5%
11 8
4.0%
ValueCountFrequency (%)
127 1
0.5%
101 1
0.5%
71 1
0.5%
61 1
0.5%
59 1
0.5%
58 1
0.5%
56 1
0.5%
55 1
0.5%
53 1
0.5%
49 1
0.5%

25.2
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.753769
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:44.200862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median13
Q324
95-th percentile34
Maximum80
Range79
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.982754
Coefficient of variation (CV)0.69715088
Kurtosis5.2279152
Mean15.753769
Median Absolute Deviation (MAD)7
Skewness1.5616636
Sum3135
Variance120.62088
MonotonicityNot monotonic
2023-12-10T15:23:44.450008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3 13
 
6.5%
8 13
 
6.5%
24 12
 
6.0%
11 12
 
6.0%
9 10
 
5.0%
12 9
 
4.5%
18 8
 
4.0%
4 8
 
4.0%
7 8
 
4.0%
5 7
 
3.5%
Other values (31) 99
49.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 3
 
1.5%
3 13
6.5%
4 8
4.0%
5 7
3.5%
6 7
3.5%
7 8
4.0%
8 13
6.5%
9 10
5.0%
10 7
3.5%
ValueCountFrequency (%)
80 1
 
0.5%
48 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
42 1
 
0.5%
39 1
 
0.5%
35 3
1.5%
34 3
1.5%
33 1
 
0.5%
32 1
 
0.5%

79.1
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.341709
Minimum10
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:44.686470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile22
Q140
median58
Q390.5
95-th percentile136
Maximum244
Range234
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation38.509002
Coefficient of variation (CV)0.56347731
Kurtosis2.2765195
Mean68.341709
Median Absolute Deviation (MAD)23
Skewness1.2244654
Sum13600
Variance1482.9433
MonotonicityNot monotonic
2023-12-10T15:23:44.978287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 7
 
3.5%
44 6
 
3.0%
25 5
 
2.5%
38 5
 
2.5%
41 5
 
2.5%
39 4
 
2.0%
78 4
 
2.0%
71 4
 
2.0%
49 4
 
2.0%
73 4
 
2.0%
Other values (88) 151
75.9%
ValueCountFrequency (%)
10 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
19 1
 
0.5%
20 4
2.0%
22 2
 
1.0%
23 3
1.5%
24 1
 
0.5%
25 5
2.5%
ValueCountFrequency (%)
244 1
0.5%
208 1
0.5%
197 1
0.5%
161 1
0.5%
154 1
0.5%
151 1
0.5%
147 1
0.5%
145 1
0.5%
137 1
0.5%
136 2
1.0%

80.2
Real number (ℝ)

Distinct99
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.256281
Minimum9
Maximum288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:45.237186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile22.8
Q141
median65
Q394
95-th percentile152.2
Maximum288
Range279
Interquartile range (IQR)53

Descriptive statistics

Standard deviation43.350692
Coefficient of variation (CV)0.59176757
Kurtosis2.844158
Mean73.256281
Median Absolute Deviation (MAD)25
Skewness1.3112755
Sum14578
Variance1879.2825
MonotonicityNot monotonic
2023-12-10T15:23:45.556305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 6
 
3.0%
43 6
 
3.0%
44 5
 
2.5%
24 5
 
2.5%
56 5
 
2.5%
34 5
 
2.5%
122 4
 
2.0%
83 4
 
2.0%
55 4
 
2.0%
57 4
 
2.0%
Other values (89) 151
75.9%
ValueCountFrequency (%)
9 1
 
0.5%
11 1
 
0.5%
15 1
 
0.5%
16 2
 
1.0%
17 1
 
0.5%
18 1
 
0.5%
20 1
 
0.5%
21 2
 
1.0%
23 2
 
1.0%
24 5
2.5%
ValueCountFrequency (%)
288 1
 
0.5%
224 1
 
0.5%
199 1
 
0.5%
181 2
1.0%
165 1
 
0.5%
163 1
 
0.5%
156 2
1.0%
154 1
 
0.5%
152 1
 
0.5%
140 3
1.5%

12.5
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.537688
Minimum3
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:46.151311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median12
Q318
95-th percentile33
Maximum56
Range53
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.3250687
Coefficient of variation (CV)0.64144095
Kurtosis2.9652037
Mean14.537688
Median Absolute Deviation (MAD)5
Skewness1.5273969
Sum2893
Variance86.956906
MonotonicityNot monotonic
2023-12-10T15:23:46.372443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 18
 
9.0%
7 14
 
7.0%
13 12
 
6.0%
12 12
 
6.0%
9 11
 
5.5%
5 10
 
5.0%
8 10
 
5.0%
18 10
 
5.0%
15 9
 
4.5%
11 9
 
4.5%
Other values (25) 84
42.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 7
 
3.5%
5 10
5.0%
6 18
9.0%
7 14
7.0%
8 10
5.0%
9 11
5.5%
10 9
4.5%
11 9
4.5%
12 12
6.0%
ValueCountFrequency (%)
56 1
 
0.5%
52 1
 
0.5%
45 1
 
0.5%
43 1
 
0.5%
37 2
1.0%
36 1
 
0.5%
33 4
2.0%
31 4
2.0%
30 1
 
0.5%
29 2
1.0%

74
Real number (ℝ)

Distinct117
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.04523
Minimum18
Maximum529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:46.601466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile28.9
Q144
median75
Q3122
95-th percentile270.8
Maximum529
Range511
Interquartile range (IQR)78

Descriptive statistics

Standard deviation82.542753
Coefficient of variation (CV)0.81688919
Kurtosis5.3940587
Mean101.04523
Median Absolute Deviation (MAD)36
Skewness2.059141
Sum20108
Variance6813.306
MonotonicityNot monotonic
2023-12-10T15:23:46.847148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 6
 
3.0%
39 5
 
2.5%
51 4
 
2.0%
45 4
 
2.0%
89 4
 
2.0%
38 4
 
2.0%
37 4
 
2.0%
32 4
 
2.0%
92 4
 
2.0%
74 4
 
2.0%
Other values (107) 156
78.4%
ValueCountFrequency (%)
18 1
 
0.5%
19 1
 
0.5%
22 2
1.0%
23 1
 
0.5%
24 2
1.0%
27 1
 
0.5%
28 2
1.0%
29 2
1.0%
30 3
1.5%
31 1
 
0.5%
ValueCountFrequency (%)
529 1
0.5%
451 1
0.5%
397 1
0.5%
333 1
0.5%
332 1
0.5%
304 1
0.5%
300 1
0.5%
295 1
0.5%
287 2
1.0%
269 1
0.5%

12.6
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.80402
Minimum2
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:47.068205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17.5
median12
Q318
95-th percentile31.1
Maximum65
Range63
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation8.7401768
Coefficient of variation (CV)0.6331617
Kurtosis5.3706625
Mean13.80402
Median Absolute Deviation (MAD)5
Skewness1.7138066
Sum2747
Variance76.390691
MonotonicityNot monotonic
2023-12-10T15:23:47.383731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5 15
 
7.5%
9 14
 
7.0%
7 13
 
6.5%
10 12
 
6.0%
6 11
 
5.5%
11 11
 
5.5%
12 11
 
5.5%
16 11
 
5.5%
8 11
 
5.5%
13 9
 
4.5%
Other values (26) 81
40.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 2
 
1.0%
4 7
3.5%
5 15
7.5%
6 11
5.5%
7 13
6.5%
8 11
5.5%
9 14
7.0%
10 12
6.0%
11 11
5.5%
ValueCountFrequency (%)
65 1
 
0.5%
37 1
 
0.5%
35 2
1.0%
34 3
1.5%
33 2
1.0%
32 1
 
0.5%
31 3
1.5%
30 1
 
0.5%
29 1
 
0.5%
28 1
 
0.5%

15.11
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.070352
Minimum2
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:47.728969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q319.5
95-th percentile35
Maximum55
Range53
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation9.3730257
Coefficient of variation (CV)0.62195136
Kurtosis1.6654402
Mean15.070352
Median Absolute Deviation (MAD)6
Skewness1.3033192
Sum2999
Variance87.853611
MonotonicityNot monotonic
2023-12-10T15:23:47.950070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 17
 
8.5%
6 14
 
7.0%
14 14
 
7.0%
10 12
 
6.0%
8 12
 
6.0%
13 11
 
5.5%
11 10
 
5.0%
12 9
 
4.5%
9 9
 
4.5%
16 8
 
4.0%
Other values (29) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 5
 
2.5%
5 7
3.5%
6 14
7.0%
7 17
8.5%
8 12
6.0%
9 9
4.5%
10 12
6.0%
11 10
5.0%
ValueCountFrequency (%)
55 1
 
0.5%
45 1
 
0.5%
41 1
 
0.5%
40 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 2
1.0%
35 3
1.5%
34 1
 
0.5%
33 4
2.0%

17.5
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.060302
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:48.172773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q17
median10
Q316
95-th percentile26.1
Maximum46
Range44
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.3550904
Coefficient of variation (CV)0.60985958
Kurtosis2.229244
Mean12.060302
Median Absolute Deviation (MAD)5
Skewness1.2577696
Sum2400
Variance54.097355
MonotonicityNot monotonic
2023-12-10T15:23:48.465497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7 28
 
14.1%
13 14
 
7.0%
10 13
 
6.5%
5 12
 
6.0%
4 12
 
6.0%
16 11
 
5.5%
6 11
 
5.5%
15 10
 
5.0%
17 9
 
4.5%
8 9
 
4.5%
Other values (21) 70
35.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 7
 
3.5%
4 12
6.0%
5 12
6.0%
6 11
 
5.5%
7 28
14.1%
8 9
 
4.5%
9 8
 
4.0%
10 13
6.5%
11 7
 
3.5%
ValueCountFrequency (%)
46 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
30 1
 
0.5%
29 3
1.5%
27 3
1.5%
26 1
 
0.5%
25 3
1.5%
24 1
 
0.5%
23 4
2.0%

23.4
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.572864
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:48.713727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q318.5
95-th percentile30.2
Maximum69
Range68
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation10.365223
Coefficient of variation (CV)0.82441221
Kurtosis4.5359947
Mean12.572864
Median Absolute Deviation (MAD)6
Skewness1.6503446
Sum2502
Variance107.43785
MonotonicityNot monotonic
2023-12-10T15:23:48.990717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
2 18
 
9.0%
10 17
 
8.5%
5 12
 
6.0%
3 11
 
5.5%
8 9
 
4.5%
7 9
 
4.5%
1 9
 
4.5%
4 9
 
4.5%
11 9
 
4.5%
22 9
 
4.5%
Other values (27) 87
43.7%
ValueCountFrequency (%)
1 9
4.5%
2 18
9.0%
3 11
5.5%
4 9
4.5%
5 12
6.0%
6 7
 
3.5%
7 9
4.5%
8 9
4.5%
9 6
 
3.0%
10 17
8.5%
ValueCountFrequency (%)
69 1
 
0.5%
48 1
 
0.5%
45 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
38 1
 
0.5%
34 1
 
0.5%
32 3
1.5%
30 2
1.0%
28 3
1.5%

11.9
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.693467
Minimum2
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:49.218111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median14
Q326
95-th percentile53.1
Maximum76
Range74
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.541782
Coefficient of variation (CV)0.78918463
Kurtosis2.3523032
Mean19.693467
Median Absolute Deviation (MAD)7
Skewness1.6013058
Sum3919
Variance241.54698
MonotonicityNot monotonic
2023-12-10T15:23:49.447354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
6 13
 
6.5%
8 13
 
6.5%
11 12
 
6.0%
10 10
 
5.0%
12 10
 
5.0%
5 7
 
3.5%
18 7
 
3.5%
17 7
 
3.5%
16 6
 
3.0%
Other values (41) 100
50.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 3
 
1.5%
5 7
3.5%
6 13
6.5%
7 14
7.0%
8 13
6.5%
9 5
 
2.5%
10 10
5.0%
11 12
6.0%
ValueCountFrequency (%)
76 1
0.5%
74 1
0.5%
73 1
0.5%
71 1
0.5%
66 2
1.0%
62 1
0.5%
56 2
1.0%
54 1
0.5%
53 1
0.5%
50 1
0.5%

11.10
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.18593
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:49.690912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q318.5
95-th percentile34
Maximum67
Range66
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation10.051413
Coefficient of variation (CV)0.7085481
Kurtosis3.7672262
Mean14.18593
Median Absolute Deviation (MAD)5
Skewness1.6060157
Sum2823
Variance101.03091
MonotonicityNot monotonic
2023-12-10T15:23:50.087532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 16
 
8.0%
6 14
 
7.0%
10 13
 
6.5%
8 13
 
6.5%
9 12
 
6.0%
14 10
 
5.0%
7 10
 
5.0%
4 9
 
4.5%
12 9
 
4.5%
13 9
 
4.5%
Other values (29) 84
42.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 3
 
1.5%
3 3
 
1.5%
4 9
4.5%
5 16
8.0%
6 14
7.0%
7 10
5.0%
8 13
6.5%
9 12
6.0%
10 13
6.5%
ValueCountFrequency (%)
67 1
 
0.5%
50 1
 
0.5%
39 2
1.0%
38 1
 
0.5%
37 2
1.0%
36 1
 
0.5%
35 1
 
0.5%
34 2
1.0%
32 3
1.5%
31 4
2.0%

14.2
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.20603
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:50.364169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q318
95-th percentile37.1
Maximum65
Range64
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.25497
Coefficient of variation (CV)0.72187443
Kurtosis3.4633021
Mean14.20603
Median Absolute Deviation (MAD)5
Skewness1.6900395
Sum2827
Variance105.16441
MonotonicityNot monotonic
2023-12-10T15:23:50.667236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7 16
 
8.0%
6 16
 
8.0%
5 13
 
6.5%
11 13
 
6.5%
12 13
 
6.5%
9 12
 
6.0%
8 11
 
5.5%
18 11
 
5.5%
10 10
 
5.0%
13 8
 
4.0%
Other values (32) 76
38.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 4
 
2.0%
4 6
 
3.0%
5 13
6.5%
6 16
8.0%
7 16
8.0%
8 11
5.5%
9 12
6.0%
10 10
5.0%
ValueCountFrequency (%)
65 1
 
0.5%
46 1
 
0.5%
45 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
41 2
1.0%
38 3
1.5%
37 1
 
0.5%
35 1
 
0.5%
34 3
1.5%

16.1
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.442211
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:50.884262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q15
median9
Q315.5
95-th percentile26.1
Maximum49
Range48
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation7.9839123
Coefficient of variation (CV)0.69775957
Kurtosis3.5617139
Mean11.442211
Median Absolute Deviation (MAD)4
Skewness1.5893193
Sum2277
Variance63.742856
MonotonicityNot monotonic
2023-12-10T15:23:51.142801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5 22
 
11.1%
7 17
 
8.5%
8 17
 
8.5%
4 13
 
6.5%
10 12
 
6.0%
9 9
 
4.5%
17 8
 
4.0%
12 8
 
4.0%
14 8
 
4.0%
15 8
 
4.0%
Other values (24) 77
38.7%
ValueCountFrequency (%)
1 3
 
1.5%
2 7
 
3.5%
3 6
 
3.0%
4 13
6.5%
5 22
11.1%
6 8
 
4.0%
7 17
8.5%
8 17
8.5%
9 9
4.5%
10 12
6.0%
ValueCountFrequency (%)
49 1
0.5%
42 1
0.5%
41 1
0.5%
34 1
0.5%
33 1
0.5%
31 2
1.0%
30 1
0.5%
28 1
0.5%
27 1
0.5%
26 1
0.5%

27.2
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.115578
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:51.425283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median11
Q322
95-th percentile35.2
Maximum85
Range84
Interquartile range (IQR)19

Descriptive statistics

Standard deviation13.019865
Coefficient of variation (CV)0.92237561
Kurtosis4.2895009
Mean14.115578
Median Absolute Deviation (MAD)9
Skewness1.5846904
Sum2809
Variance169.51688
MonotonicityNot monotonic
2023-12-10T15:23:51.645184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2 21
 
10.6%
1 20
 
10.1%
3 13
 
6.5%
12 9
 
4.5%
4 9
 
4.5%
11 7
 
3.5%
14 7
 
3.5%
17 6
 
3.0%
9 6
 
3.0%
8 6
 
3.0%
Other values (33) 95
47.7%
ValueCountFrequency (%)
1 20
10.1%
2 21
10.6%
3 13
6.5%
4 9
4.5%
5 5
 
2.5%
6 6
 
3.0%
7 5
 
2.5%
8 6
 
3.0%
9 6
 
3.0%
10 4
 
2.0%
ValueCountFrequency (%)
85 1
0.5%
58 1
0.5%
53 1
0.5%
52 1
0.5%
50 1
0.5%
43 1
0.5%
40 1
0.5%
39 2
1.0%
37 1
0.5%
35 2
1.0%

36.2
Real number (ℝ)

Distinct82
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.130653
Minimum7
Maximum239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:51.919844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q120.5
median36
Q356
95-th percentile108.2
Maximum239
Range232
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation34.860081
Coefficient of variation (CV)0.77242581
Kurtosis7.6874716
Mean45.130653
Median Absolute Deviation (MAD)16
Skewness2.267028
Sum8981
Variance1215.2253
MonotonicityNot monotonic
2023-12-10T15:23:52.167695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 7
 
3.5%
36 7
 
3.5%
19 7
 
3.5%
18 6
 
3.0%
17 6
 
3.0%
20 6
 
3.0%
13 6
 
3.0%
15 6
 
3.0%
33 5
 
2.5%
38 5
 
2.5%
Other values (72) 138
69.3%
ValueCountFrequency (%)
7 1
 
0.5%
10 2
 
1.0%
11 3
1.5%
12 3
1.5%
13 6
3.0%
14 1
 
0.5%
15 6
3.0%
16 3
1.5%
17 6
3.0%
18 6
3.0%
ValueCountFrequency (%)
239 1
0.5%
221 1
0.5%
155 1
0.5%
154 1
0.5%
149 1
0.5%
119 2
1.0%
112 1
0.5%
110 2
1.0%
108 1
0.5%
107 1
0.5%

91
Real number (ℝ)

Distinct147
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean214.63317
Minimum22
Maximum1165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:52.398544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile37.9
Q163.5
median115
Q3277
95-th percentile689.1
Maximum1165
Range1143
Interquartile range (IQR)213.5

Descriptive statistics

Standard deviation228.12225
Coefficient of variation (CV)1.0628471
Kurtosis2.9188246
Mean214.63317
Median Absolute Deviation (MAD)65
Skewness1.8006082
Sum42712
Variance52039.759
MonotonicityNot monotonic
2023-12-10T15:23:52.628857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 5
 
2.5%
116 5
 
2.5%
46 5
 
2.5%
49 4
 
2.0%
56 4
 
2.0%
63 3
 
1.5%
99 3
 
1.5%
114 3
 
1.5%
61 3
 
1.5%
48 3
 
1.5%
Other values (137) 161
80.9%
ValueCountFrequency (%)
22 1
0.5%
27 1
0.5%
29 1
0.5%
30 2
1.0%
33 1
0.5%
34 2
1.0%
36 1
0.5%
37 1
0.5%
38 2
1.0%
39 1
0.5%
ValueCountFrequency (%)
1165 1
0.5%
1082 1
0.5%
1005 1
0.5%
924 1
0.5%
850 1
0.5%
824 1
0.5%
768 1
0.5%
727 1
0.5%
720 1
0.5%
717 1
0.5%

37.3
Real number (ℝ)

Distinct94
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.487437
Minimum7
Maximum319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:53.222019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q122.5
median38
Q362.5
95-th percentile162.1
Maximum319
Range312
Interquartile range (IQR)40

Descriptive statistics

Standard deviation48.919524
Coefficient of variation (CV)0.89781289
Kurtosis6.1527875
Mean54.487437
Median Absolute Deviation (MAD)18
Skewness2.2333017
Sum10843
Variance2393.1198
MonotonicityNot monotonic
2023-12-10T15:23:53.496733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 8
 
4.0%
20 8
 
4.0%
21 7
 
3.5%
26 6
 
3.0%
25 6
 
3.0%
43 6
 
3.0%
23 5
 
2.5%
34 5
 
2.5%
16 5
 
2.5%
51 5
 
2.5%
Other values (84) 138
69.3%
ValueCountFrequency (%)
7 1
 
0.5%
8 1
 
0.5%
11 2
 
1.0%
12 4
2.0%
13 1
 
0.5%
14 2
 
1.0%
15 3
1.5%
16 5
2.5%
17 4
2.0%
18 3
1.5%
ValueCountFrequency (%)
319 1
0.5%
263 1
0.5%
214 1
0.5%
198 1
0.5%
189 1
0.5%
182 1
0.5%
181 1
0.5%
173 1
0.5%
170 1
0.5%
163 1
0.5%

6.7
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1557789
Minimum2
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:53.686467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q311
95-th percentile26.1
Maximum62
Range60
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.7161092
Coefficient of variation (CV)0.951979
Kurtosis8.5049565
Mean9.1557789
Median Absolute Deviation (MAD)3
Skewness2.4800116
Sum1822
Variance75.97056
MonotonicityNot monotonic
2023-12-10T15:23:53.857022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 30
15.1%
4 26
13.1%
6 21
10.6%
2 18
 
9.0%
7 13
 
6.5%
8 12
 
6.0%
5 12
 
6.0%
9 9
 
4.5%
11 7
 
3.5%
12 6
 
3.0%
Other values (22) 45
22.6%
ValueCountFrequency (%)
2 18
9.0%
3 30
15.1%
4 26
13.1%
5 12
 
6.0%
6 21
10.6%
7 13
6.5%
8 12
 
6.0%
9 9
 
4.5%
10 2
 
1.0%
11 7
 
3.5%
ValueCountFrequency (%)
62 1
 
0.5%
46 1
 
0.5%
39 1
 
0.5%
35 1
 
0.5%
33 2
1.0%
30 2
1.0%
28 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
25 3
1.5%

6.8
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4773869
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:54.041298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q311.5
95-th percentile25.3
Maximum61
Range60
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation8.6659814
Coefficient of variation (CV)0.9143851
Kurtosis8.502778
Mean9.4773869
Median Absolute Deviation (MAD)3
Skewness2.4823547
Sum1886
Variance75.099234
MonotonicityNot monotonic
2023-12-10T15:23:54.237440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 28
14.1%
5 23
11.6%
4 22
11.1%
8 15
 
7.5%
7 14
 
7.0%
6 13
 
6.5%
2 11
 
5.5%
10 10
 
5.0%
9 7
 
3.5%
12 6
 
3.0%
Other values (23) 50
25.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
 
5.5%
3 28
14.1%
4 22
11.1%
5 23
11.6%
6 13
6.5%
7 14
7.0%
8 15
7.5%
9 7
 
3.5%
10 10
 
5.0%
ValueCountFrequency (%)
61 1
0.5%
48 1
0.5%
40 1
0.5%
38 1
0.5%
33 1
0.5%
31 2
1.0%
30 2
1.0%
28 1
0.5%
25 1
0.5%
24 1
0.5%

7.9
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.859296
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:54.426487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median7
Q313.5
95-th percentile28.1
Maximum79
Range78
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation10.585883
Coefficient of variation (CV)0.97482214
Kurtosis13.044187
Mean10.859296
Median Absolute Deviation (MAD)3
Skewness3.0525787
Sum2161
Variance112.06091
MonotonicityNot monotonic
2023-12-10T15:23:54.627806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 25
12.6%
6 22
 
11.1%
4 21
 
10.6%
10 17
 
8.5%
5 16
 
8.0%
7 13
 
6.5%
12 8
 
4.0%
8 7
 
3.5%
9 7
 
3.5%
16 6
 
3.0%
Other values (27) 57
28.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 5
 
2.5%
3 25
12.6%
4 21
10.6%
5 16
8.0%
6 22
11.1%
7 13
6.5%
8 7
 
3.5%
9 7
 
3.5%
10 17
8.5%
ValueCountFrequency (%)
79 1
0.5%
65 1
0.5%
55 1
0.5%
46 1
0.5%
43 1
0.5%
41 1
0.5%
33 1
0.5%
32 1
0.5%
31 1
0.5%
29 1
0.5%

8.8
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8542714
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:54.845876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q310
95-th percentile21
Maximum46
Range45
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.9665625
Coefficient of variation (CV)0.75965831
Kurtosis10.359671
Mean7.8542714
Median Absolute Deviation (MAD)3
Skewness2.5687792
Sum1563
Variance35.599868
MonotonicityNot monotonic
2023-12-10T15:23:55.045840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3 29
14.6%
7 22
11.1%
4 21
10.6%
6 21
10.6%
8 16
8.0%
5 15
7.5%
2 13
 
6.5%
12 11
 
5.5%
10 9
 
4.5%
9 8
 
4.0%
Other values (13) 34
17.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 13
6.5%
3 29
14.6%
4 21
10.6%
5 15
7.5%
6 21
10.6%
7 22
11.1%
8 16
8.0%
9 8
 
4.0%
10 9
 
4.5%
ValueCountFrequency (%)
46 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
21 5
2.5%
17 6
3.0%
15 1
 
0.5%
14 3
1.5%

10.7
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6331658
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:55.256152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q310
95-th percentile16
Maximum31
Range30
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.6046864
Coefficient of variation (CV)0.60324726
Kurtosis3.1819098
Mean7.6331658
Median Absolute Deviation (MAD)3
Skewness1.3696345
Sum1519
Variance21.203137
MonotonicityNot monotonic
2023-12-10T15:23:55.459792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 30
15.1%
3 19
9.5%
4 19
9.5%
10 18
9.0%
7 16
8.0%
6 15
7.5%
8 14
 
7.0%
11 12
 
6.0%
9 11
 
5.5%
2 9
 
4.5%
Other values (12) 36
18.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 9
 
4.5%
3 19
9.5%
4 19
9.5%
5 30
15.1%
6 15
7.5%
7 16
8.0%
8 14
7.0%
9 11
 
5.5%
10 18
9.0%
ValueCountFrequency (%)
31 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
20 1
 
0.5%
19 3
1.5%
17 2
 
1.0%
16 4
2.0%
15 3
1.5%
14 4
2.0%
13 6
3.0%

5.4
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.286432
Minimum1
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:55.663962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q313
95-th percentile63.7
Maximum113
Range112
Interquartile range (IQR)9

Descriptive statistics

Standard deviation19.180518
Coefficient of variation (CV)1.3425688
Kurtosis7.4027735
Mean14.286432
Median Absolute Deviation (MAD)4
Skewness2.6848524
Sum2843
Variance367.89229
MonotonicityNot monotonic
2023-12-10T15:23:55.882713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
3 27
13.6%
4 22
 
11.1%
5 18
 
9.0%
7 13
 
6.5%
8 12
 
6.0%
6 11
 
5.5%
2 11
 
5.5%
11 9
 
4.5%
9 9
 
4.5%
12 7
 
3.5%
Other values (38) 60
30.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
5.5%
3 27
13.6%
4 22
11.1%
5 18
9.0%
6 11
5.5%
7 13
6.5%
8 12
6.0%
9 9
 
4.5%
10 5
 
2.5%
ValueCountFrequency (%)
113 1
0.5%
97 1
0.5%
81 1
0.5%
79 1
0.5%
76 1
0.5%
75 1
0.5%
74 1
0.5%
72 1
0.5%
71 1
0.5%
70 1
0.5%

5.5
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.060302
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:56.101593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q313
95-th percentile36.1
Maximum75
Range74
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.818338
Coefficient of variation (CV)1.0685367
Kurtosis7.7938039
Mean11.060302
Median Absolute Deviation (MAD)4
Skewness2.568052
Sum2201
Variance139.67311
MonotonicityNot monotonic
2023-12-10T15:23:56.373455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 23
 
11.6%
4 22
 
11.1%
5 20
 
10.1%
6 17
 
8.5%
2 15
 
7.5%
9 13
 
6.5%
8 12
 
6.0%
7 7
 
3.5%
12 6
 
3.0%
10 6
 
3.0%
Other values (28) 58
29.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 15
7.5%
3 23
11.6%
4 22
11.1%
5 20
10.1%
6 17
8.5%
7 7
 
3.5%
8 12
6.0%
9 13
6.5%
10 6
 
3.0%
ValueCountFrequency (%)
75 1
0.5%
61 1
0.5%
59 1
0.5%
54 1
0.5%
53 1
0.5%
46 1
0.5%
41 1
0.5%
38 2
1.0%
37 1
0.5%
36 1
0.5%

7.10
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.663317
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:56.621470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q15
median8
Q314
95-th percentile34
Maximum100
Range98
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.571099
Coefficient of variation (CV)1.0778323
Kurtosis15.97608
Mean11.663317
Median Absolute Deviation (MAD)4
Skewness3.3661248
Sum2321
Variance158.03254
MonotonicityNot monotonic
2023-12-10T15:23:56.852890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 23
 
11.6%
3 21
 
10.6%
6 18
 
9.0%
4 17
 
8.5%
8 12
 
6.0%
2 10
 
5.0%
7 9
 
4.5%
10 9
 
4.5%
9 9
 
4.5%
12 8
 
4.0%
Other values (28) 63
31.7%
ValueCountFrequency (%)
2 10
5.0%
3 21
10.6%
4 17
8.5%
5 23
11.6%
6 18
9.0%
7 9
 
4.5%
8 12
6.0%
9 9
 
4.5%
10 9
 
4.5%
11 7
 
3.5%
ValueCountFrequency (%)
100 1
 
0.5%
72 1
 
0.5%
66 1
 
0.5%
50 1
 
0.5%
46 1
 
0.5%
45 1
 
0.5%
41 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
34 3
1.5%

8.9
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6582915
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:57.107771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q310
95-th percentile22
Maximum58
Range57
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.2893875
Coefficient of variation (CV)0.84189676
Kurtosis13.228608
Mean8.6582915
Median Absolute Deviation (MAD)3
Skewness2.9582652
Sum1723
Variance53.135171
MonotonicityNot monotonic
2023-12-10T15:23:57.374339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 24
12.1%
7 22
11.1%
5 19
9.5%
4 19
9.5%
8 18
9.0%
6 17
8.5%
2 12
 
6.0%
9 11
 
5.5%
10 8
 
4.0%
11 7
 
3.5%
Other values (19) 42
21.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 12
6.0%
3 24
12.1%
4 19
9.5%
5 19
9.5%
6 17
8.5%
7 22
11.1%
8 18
9.0%
9 11
5.5%
10 8
 
4.0%
ValueCountFrequency (%)
58 1
 
0.5%
44 1
 
0.5%
31 1
 
0.5%
30 2
1.0%
29 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
23 1
 
0.5%
22 2
1.0%
21 3
1.5%

249
Real number (ℝ)

Distinct154
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257.68844
Minimum6
Maximum955
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:57.640207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile89.2
Q1137
median229
Q3322
95-th percentile528.2
Maximum955
Range949
Interquartile range (IQR)185

Descriptive statistics

Standard deviation155.78288
Coefficient of variation (CV)0.60453966
Kurtosis4.0338914
Mean257.68844
Median Absolute Deviation (MAD)93
Skewness1.6469244
Sum51280
Variance24268.306
MonotonicityNot monotonic
2023-12-10T15:23:57.885982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
303 4
 
2.0%
133 4
 
2.0%
253 4
 
2.0%
82 3
 
1.5%
174 2
 
1.0%
519 2
 
1.0%
269 2
 
1.0%
154 2
 
1.0%
298 2
 
1.0%
342 2
 
1.0%
Other values (144) 172
86.4%
ValueCountFrequency (%)
6 1
 
0.5%
53 1
 
0.5%
54 1
 
0.5%
60 1
 
0.5%
73 1
 
0.5%
76 1
 
0.5%
79 1
 
0.5%
82 3
1.5%
90 2
1.0%
93 1
 
0.5%
ValueCountFrequency (%)
955 1
0.5%
901 1
0.5%
856 1
0.5%
755 1
0.5%
729 1
0.5%
727 1
0.5%
610 1
0.5%
554 1
0.5%
546 1
0.5%
530 1
0.5%

12.7
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9698492
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:58.280079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q312
95-th percentile20
Maximum39
Range38
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6781608
Coefficient of variation (CV)0.63302746
Kurtosis3.97466
Mean8.9698492
Median Absolute Deviation (MAD)3
Skewness1.4911762
Sum1785
Variance32.241511
MonotonicityNot monotonic
2023-12-10T15:23:58.549451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
6 22
11.1%
5 20
 
10.1%
4 19
 
9.5%
10 14
 
7.0%
8 13
 
6.5%
13 13
 
6.5%
12 13
 
6.5%
7 12
 
6.0%
3 11
 
5.5%
9 10
 
5.0%
Other values (14) 52
26.1%
ValueCountFrequency (%)
1 7
 
3.5%
2 5
 
2.5%
3 11
5.5%
4 19
9.5%
5 20
10.1%
6 22
11.1%
7 12
6.0%
8 13
6.5%
9 10
5.0%
10 14
7.0%
ValueCountFrequency (%)
39 1
 
0.5%
28 1
 
0.5%
26 1
 
0.5%
24 2
 
1.0%
23 2
 
1.0%
20 4
2.0%
18 4
2.0%
17 2
 
1.0%
16 6
3.0%
15 4
2.0%

45.3
Real number (ℝ)

Distinct119
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.20603
Minimum12
Maximum491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:58.831304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile18
Q131
median53
Q3119
95-th percentile301.2
Maximum491
Range479
Interquartile range (IQR)88

Descriptive statistics

Standard deviation95.757283
Coefficient of variation (CV)1.0273722
Kurtosis3.2236403
Mean93.20603
Median Absolute Deviation (MAD)29
Skewness1.880493
Sum18548
Variance9169.4573
MonotonicityNot monotonic
2023-12-10T15:23:59.081350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 8
 
4.0%
44 7
 
3.5%
21 6
 
3.0%
40 5
 
2.5%
19 5
 
2.5%
32 4
 
2.0%
56 4
 
2.0%
37 4
 
2.0%
60 4
 
2.0%
51 3
 
1.5%
Other values (109) 149
74.9%
ValueCountFrequency (%)
12 1
 
0.5%
13 1
 
0.5%
14 3
1.5%
16 3
1.5%
17 1
 
0.5%
18 2
 
1.0%
19 5
2.5%
20 1
 
0.5%
21 6
3.0%
22 2
 
1.0%
ValueCountFrequency (%)
491 1
0.5%
424 1
0.5%
416 1
0.5%
402 1
0.5%
396 1
0.5%
381 1
0.5%
366 1
0.5%
355 1
0.5%
306 1
0.5%
303 1
0.5%

45.4
Real number (ℝ)

Distinct126
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.21106
Minimum13
Maximum698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:23:59.802316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile18.9
Q132
median61
Q3152
95-th percentile393.2
Maximum698
Range685
Interquartile range (IQR)120

Descriptive statistics

Standard deviation128.68043
Coefficient of variation (CV)1.1072994
Kurtosis3.4734995
Mean116.21106
Median Absolute Deviation (MAD)35
Skewness1.8897535
Sum23126
Variance16558.652
MonotonicityNot monotonic
2023-12-10T15:24:00.130601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 6
 
3.0%
23 6
 
3.0%
26 6
 
3.0%
69 4
 
2.0%
25 4
 
2.0%
47 4
 
2.0%
53 4
 
2.0%
20 3
 
1.5%
18 3
 
1.5%
29 3
 
1.5%
Other values (116) 156
78.4%
ValueCountFrequency (%)
13 1
 
0.5%
14 1
 
0.5%
15 3
1.5%
17 2
 
1.0%
18 3
1.5%
19 2
 
1.0%
20 3
1.5%
21 3
1.5%
22 2
 
1.0%
23 6
3.0%
ValueCountFrequency (%)
698 1
0.5%
634 1
0.5%
537 1
0.5%
503 1
0.5%
432 1
0.5%
416 1
0.5%
415 1
0.5%
410 1
0.5%
403 1
0.5%
395 1
0.5%

7.11
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.19598
Minimum2
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:00.383934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q326
95-th percentile77.5
Maximum131
Range129
Interquartile range (IQR)21

Descriptive statistics

Standard deviation25.5702
Coefficient of variation (CV)1.2063703
Kurtosis3.0092006
Mean21.19598
Median Absolute Deviation (MAD)6
Skewness1.8751775
Sum4218
Variance653.83514
MonotonicityNot monotonic
2023-12-10T15:24:00.648149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 21
 
10.6%
7 18
 
9.0%
3 16
 
8.0%
6 13
 
6.5%
5 12
 
6.0%
10 10
 
5.0%
11 9
 
4.5%
13 8
 
4.0%
9 7
 
3.5%
14 6
 
3.0%
Other values (53) 79
39.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 16
8.0%
4 21
10.6%
5 12
6.0%
6 13
6.5%
7 18
9.0%
8 6
 
3.0%
9 7
 
3.5%
10 10
5.0%
11 9
4.5%
ValueCountFrequency (%)
131 1
0.5%
111 1
0.5%
102 2
1.0%
96 1
0.5%
91 1
0.5%
86 1
0.5%
84 1
0.5%
83 1
0.5%
82 1
0.5%
77 1
0.5%

7.12
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.447236
Minimum2
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:00.900871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q325
95-th percentile72.4
Maximum123
Range121
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.654841
Coefficient of variation (CV)1.1568723
Kurtosis3.5076909
Mean20.447236
Median Absolute Deviation (MAD)6
Skewness1.9652545
Sum4069
Variance559.55149
MonotonicityNot monotonic
2023-12-10T15:24:01.158607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 17
 
8.5%
4 17
 
8.5%
3 14
 
7.0%
6 12
 
6.0%
5 11
 
5.5%
8 10
 
5.0%
9 9
 
4.5%
10 8
 
4.0%
12 7
 
3.5%
13 7
 
3.5%
Other values (49) 87
43.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 14
7.0%
4 17
8.5%
5 11
5.5%
6 12
6.0%
7 17
8.5%
8 10
5.0%
9 9
4.5%
10 8
4.0%
11 6
 
3.0%
ValueCountFrequency (%)
123 1
0.5%
104 1
0.5%
97 1
0.5%
96 1
0.5%
95 1
0.5%
92 1
0.5%
87 1
0.5%
81 1
0.5%
78 1
0.5%
76 1
0.5%

8.10
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.020101
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:01.440591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q329.5
95-th percentile76.5
Maximum146
Range144
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation27.461076
Coefficient of variation (CV)1.1929173
Kurtosis5.4591254
Mean23.020101
Median Absolute Deviation (MAD)7
Skewness2.2580976
Sum4581
Variance754.11071
MonotonicityNot monotonic
2023-12-10T15:24:01.749849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
7 15
 
7.5%
5 13
 
6.5%
6 10
 
5.0%
12 10
 
5.0%
8 10
 
5.0%
3 10
 
5.0%
9 10
 
5.0%
10 6
 
3.0%
11 6
 
3.0%
Other values (55) 93
46.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 10
5.0%
4 16
8.0%
5 13
6.5%
6 10
5.0%
7 15
7.5%
8 10
5.0%
9 10
5.0%
10 6
 
3.0%
11 6
 
3.0%
ValueCountFrequency (%)
146 1
0.5%
139 1
0.5%
133 1
0.5%
125 1
0.5%
113 1
0.5%
107 1
0.5%
102 1
0.5%
92 1
0.5%
82 1
0.5%
81 1
0.5%

9.3
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.748744
Minimum2
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:02.175978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q319.5
95-th percentile52.2
Maximum80
Range78
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation15.64593
Coefficient of variation (CV)0.99347165
Kurtosis4.5453176
Mean15.748744
Median Absolute Deviation (MAD)5
Skewness2.1166125
Sum3134
Variance244.79514
MonotonicityNot monotonic
2023-12-10T15:24:02.489394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4 23
 
11.6%
9 16
 
8.0%
5 14
 
7.0%
7 12
 
6.0%
6 11
 
5.5%
8 11
 
5.5%
10 9
 
4.5%
3 9
 
4.5%
12 8
 
4.0%
17 7
 
3.5%
Other values (38) 79
39.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
 
4.5%
4 23
11.6%
5 14
7.0%
6 11
5.5%
7 12
6.0%
8 11
5.5%
9 16
8.0%
10 9
 
4.5%
11 7
 
3.5%
ValueCountFrequency (%)
80 1
0.5%
79 1
0.5%
76 1
0.5%
67 1
0.5%
66 1
0.5%
65 2
1.0%
57 1
0.5%
56 1
0.5%
54 1
0.5%
52 1
0.5%

13.8
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59799
Minimum2
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:02.773309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q315
95-th percentile31
Maximum49
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.3828346
Coefficient of variation (CV)0.66541048
Kurtosis3.15312
Mean12.59799
Median Absolute Deviation (MAD)4
Skewness1.6492023
Sum2507
Variance70.271915
MonotonicityNot monotonic
2023-12-10T15:24:03.005550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 19
 
9.5%
10 15
 
7.5%
14 14
 
7.0%
5 14
 
7.0%
9 13
 
6.5%
7 11
 
5.5%
11 11
 
5.5%
4 11
 
5.5%
13 11
 
5.5%
8 10
 
5.0%
Other values (25) 70
35.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 6
 
3.0%
4 11
5.5%
5 14
7.0%
6 19
9.5%
7 11
5.5%
8 10
5.0%
9 13
6.5%
10 15
7.5%
11 11
5.5%
ValueCountFrequency (%)
49 1
0.5%
44 1
0.5%
40 1
0.5%
39 1
0.5%
38 1
0.5%
35 2
1.0%
32 2
1.0%
31 2
1.0%
29 1
0.5%
28 1
0.5%

6.9
Real number (ℝ)

Distinct73
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.668342
Minimum2
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:03.251999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q340
95-th percentile157.3
Maximum261
Range259
Interquartile range (IQR)34

Descriptive statistics

Standard deviation51.749011
Coefficient of variation (CV)1.4508387
Kurtosis3.858136
Mean35.668342
Median Absolute Deviation (MAD)7
Skewness2.0878576
Sum7098
Variance2677.9602
MonotonicityNot monotonic
2023-12-10T15:24:03.518461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
3 18
 
9.0%
6 16
 
8.0%
7 11
 
5.5%
10 10
 
5.0%
5 9
 
4.5%
12 7
 
3.5%
8 6
 
3.0%
9 6
 
3.0%
13 4
 
2.0%
Other values (63) 94
47.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 18
9.0%
4 18
9.0%
5 9
4.5%
6 16
8.0%
7 11
5.5%
8 6
 
3.0%
9 6
 
3.0%
10 10
5.0%
11 4
 
2.0%
ValueCountFrequency (%)
261 1
0.5%
221 1
0.5%
208 1
0.5%
200 1
0.5%
199 1
0.5%
190 1
0.5%
185 1
0.5%
177 1
0.5%
169 1
0.5%
160 1
0.5%

6.10
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.61809
Minimum2
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:03.770919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15.5
median11
Q329.5
95-th percentile96.2
Maximum149
Range147
Interquartile range (IQR)24

Descriptive statistics

Standard deviation29.164716
Coefficient of variation (CV)1.2348465
Kurtosis4.2883016
Mean23.61809
Median Absolute Deviation (MAD)7
Skewness2.1189624
Sum4700
Variance850.58068
MonotonicityNot monotonic
2023-12-10T15:24:04.032382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
7.5%
4 15
 
7.5%
3 15
 
7.5%
6 13
 
6.5%
7 11
 
5.5%
10 9
 
4.5%
8 8
 
4.0%
14 7
 
3.5%
11 6
 
3.0%
2 5
 
2.5%
Other values (53) 95
47.7%
ValueCountFrequency (%)
2 5
 
2.5%
3 15
7.5%
4 15
7.5%
5 15
7.5%
6 13
6.5%
7 11
5.5%
8 8
4.0%
9 5
 
2.5%
10 9
4.5%
11 6
 
3.0%
ValueCountFrequency (%)
149 1
0.5%
137 1
0.5%
126 1
0.5%
118 2
1.0%
112 1
0.5%
106 1
0.5%
103 1
0.5%
102 1
0.5%
98 1
0.5%
96 2
1.0%

146
Real number (ℝ)

Distinct150
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.34673
Minimum35
Maximum889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:04.323270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile57.7
Q195
median151
Q3229
95-th percentile510.2
Maximum889
Range854
Interquartile range (IQR)134

Descriptive statistics

Standard deviation157.53154
Coefficient of variation (CV)0.7902389
Kurtosis5.023894
Mean199.34673
Median Absolute Deviation (MAD)64
Skewness2.1084586
Sum39670
Variance24816.187
MonotonicityNot monotonic
2023-12-10T15:24:04.584432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 4
 
2.0%
90 4
 
2.0%
148 3
 
1.5%
74 3
 
1.5%
178 3
 
1.5%
207 3
 
1.5%
102 3
 
1.5%
189 3
 
1.5%
225 2
 
1.0%
183 2
 
1.0%
Other values (140) 169
84.9%
ValueCountFrequency (%)
35 1
0.5%
40 1
0.5%
43 1
0.5%
46 2
1.0%
48 2
1.0%
53 1
0.5%
55 2
1.0%
58 1
0.5%
60 1
0.5%
61 1
0.5%
ValueCountFrequency (%)
889 1
0.5%
839 1
0.5%
814 1
0.5%
751 1
0.5%
700 1
0.5%
686 1
0.5%
682 1
0.5%
668 1
0.5%
596 1
0.5%
539 1
0.5%

8.11
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.713568
Minimum2
Maximum211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:04.814590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q330.5
95-th percentile81.8
Maximum211
Range209
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation30.557172
Coefficient of variation (CV)1.2364533
Kurtosis9.4382918
Mean24.713568
Median Absolute Deviation (MAD)8
Skewness2.6609827
Sum4918
Variance933.74077
MonotonicityNot monotonic
2023-12-10T15:24:05.078057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 16
 
8.0%
6 15
 
7.5%
4 13
 
6.5%
7 12
 
6.0%
5 11
 
5.5%
10 9
 
4.5%
8 8
 
4.0%
12 7
 
3.5%
9 6
 
3.0%
16 5
 
2.5%
Other values (55) 97
48.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 16
8.0%
4 13
6.5%
5 11
5.5%
6 15
7.5%
7 12
6.0%
8 8
4.0%
9 6
 
3.0%
10 9
4.5%
11 3
 
1.5%
ValueCountFrequency (%)
211 1
0.5%
164 1
0.5%
122 1
0.5%
119 1
0.5%
116 2
1.0%
102 2
1.0%
98 2
1.0%
80 1
0.5%
79 1
0.5%
77 1
0.5%

9.4
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.572864
Minimum2
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:05.867661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q323
95-th percentile56.4
Maximum110
Range108
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.261387
Coefficient of variation (CV)1.039181
Kurtosis6.4360863
Mean17.572864
Median Absolute Deviation (MAD)6
Skewness2.323034
Sum3497
Variance333.47825
MonotonicityNot monotonic
2023-12-10T15:24:06.143702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
9 16
 
8.0%
5 16
 
8.0%
6 13
 
6.5%
8 12
 
6.0%
10 11
 
5.5%
7 10
 
5.0%
3 10
 
5.0%
12 8
 
4.0%
17 7
 
3.5%
Other values (43) 79
39.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 10
5.0%
4 17
8.5%
5 16
8.0%
6 13
6.5%
7 10
5.0%
8 12
6.0%
9 16
8.0%
10 11
5.5%
11 4
 
2.0%
ValueCountFrequency (%)
110 1
0.5%
101 1
0.5%
84 1
0.5%
79 1
0.5%
75 1
0.5%
71 1
0.5%
66 1
0.5%
65 1
0.5%
60 2
1.0%
56 1
0.5%

15.12
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.854271
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:06.452951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median13
Q318
95-th percentile35.2
Maximum59
Range58
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.159032
Coefficient of variation (CV)0.68391317
Kurtosis4.0600534
Mean14.854271
Median Absolute Deviation (MAD)5
Skewness1.8166678
Sum2956
Variance103.20593
MonotonicityNot monotonic
2023-12-10T15:24:06.676508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
15 16
 
8.0%
7 15
 
7.5%
9 11
 
5.5%
6 11
 
5.5%
10 11
 
5.5%
17 10
 
5.0%
5 10
 
5.0%
13 10
 
5.0%
8 10
 
5.0%
14 9
 
4.5%
Other values (32) 86
43.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 8
4.0%
5 10
5.0%
6 11
5.5%
7 15
7.5%
8 10
5.0%
9 11
5.5%
10 11
5.5%
ValueCountFrequency (%)
59 1
0.5%
54 1
0.5%
51 1
0.5%
49 1
0.5%
48 1
0.5%
47 1
0.5%
44 1
0.5%
42 1
0.5%
37 2
1.0%
35 1
0.5%

122.1
Real number (ℝ)

Distinct119
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.48744
Minimum7
Maximum433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:06.911263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile39.9
Q162
median106
Q3153
95-th percentile239.1
Maximum433
Range426
Interquartile range (IQR)91

Descriptive statistics

Standard deviation68.638407
Coefficient of variation (CV)0.58421912
Kurtosis3.7106378
Mean117.48744
Median Absolute Deviation (MAD)44
Skewness1.5571579
Sum23380
Variance4711.2309
MonotonicityNot monotonic
2023-12-10T15:24:07.174007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 5
 
2.5%
59 4
 
2.0%
122 4
 
2.0%
61 4
 
2.0%
86 3
 
1.5%
58 3
 
1.5%
156 3
 
1.5%
103 3
 
1.5%
164 3
 
1.5%
106 3
 
1.5%
Other values (109) 164
82.4%
ValueCountFrequency (%)
7 1
0.5%
27 1
0.5%
30 2
1.0%
34 2
1.0%
35 1
0.5%
36 1
0.5%
39 2
1.0%
40 2
1.0%
42 1
0.5%
43 2
1.0%
ValueCountFrequency (%)
433 1
0.5%
380 1
0.5%
379 1
0.5%
332 1
0.5%
323 1
0.5%
306 1
0.5%
263 1
0.5%
258 2
1.0%
249 1
0.5%
238 1
0.5%

124.2
Real number (ℝ)

Distinct137
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.8794
Minimum8
Maximum592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:07.404725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile45.6
Q172
median117
Q3188
95-th percentile304.3
Maximum592
Range584
Interquartile range (IQR)116

Descriptive statistics

Standard deviation92.469408
Coefficient of variation (CV)0.65637283
Kurtosis4.4850181
Mean140.8794
Median Absolute Deviation (MAD)53
Skewness1.7323422
Sum28035
Variance8550.5914
MonotonicityNot monotonic
2023-12-10T15:24:07.647054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 6
 
3.0%
48 5
 
2.5%
87 4
 
2.0%
67 4
 
2.0%
41 3
 
1.5%
79 3
 
1.5%
131 3
 
1.5%
145 3
 
1.5%
128 3
 
1.5%
64 3
 
1.5%
Other values (127) 162
81.4%
ValueCountFrequency (%)
8 1
 
0.5%
21 1
 
0.5%
32 1
 
0.5%
36 1
 
0.5%
37 1
 
0.5%
40 1
 
0.5%
41 3
1.5%
42 1
 
0.5%
46 1
 
0.5%
47 1
 
0.5%
ValueCountFrequency (%)
592 1
0.5%
545 1
0.5%
453 1
0.5%
446 1
0.5%
402 1
0.5%
349 1
0.5%
347 1
0.5%
312 1
0.5%
308 1
0.5%
307 1
0.5%

19.4
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.909548
Minimum2
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:07.923478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q111.5
median19
Q331
95-th percentile52.3
Maximum103
Range101
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation15.185116
Coefficient of variation (CV)0.66282913
Kurtosis3.4748389
Mean22.909548
Median Absolute Deviation (MAD)8
Skewness1.5180308
Sum4559
Variance230.58774
MonotonicityNot monotonic
2023-12-10T15:24:08.181170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 12
 
6.0%
12 11
 
5.5%
11 11
 
5.5%
19 10
 
5.0%
20 8
 
4.0%
13 8
 
4.0%
15 8
 
4.0%
9 7
 
3.5%
7 7
 
3.5%
8 7
 
3.5%
Other values (41) 110
55.3%
ValueCountFrequency (%)
2 1
 
0.5%
5 3
 
1.5%
6 2
 
1.0%
7 7
3.5%
8 7
3.5%
9 7
3.5%
10 12
6.0%
11 11
5.5%
12 11
5.5%
13 8
4.0%
ValueCountFrequency (%)
103 1
0.5%
67 2
1.0%
61 1
0.5%
58 1
0.5%
57 2
1.0%
56 2
1.0%
55 1
0.5%
52 1
0.5%
49 2
1.0%
48 1
0.5%

19.5
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.145729
Minimum2
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:08.420379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q112
median19
Q330
95-th percentile52.1
Maximum107
Range105
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.516816
Coefficient of variation (CV)0.67039653
Kurtosis7.3419813
Mean23.145729
Median Absolute Deviation (MAD)8
Skewness2.1647916
Sum4606
Variance240.77159
MonotonicityNot monotonic
2023-12-10T15:24:08.751520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 10
 
5.0%
14 10
 
5.0%
12 9
 
4.5%
9 9
 
4.5%
22 8
 
4.0%
18 8
 
4.0%
8 8
 
4.0%
20 7
 
3.5%
10 7
 
3.5%
23 7
 
3.5%
Other values (43) 116
58.3%
ValueCountFrequency (%)
2 1
 
0.5%
6 5
2.5%
7 3
 
1.5%
8 8
4.0%
9 9
4.5%
10 7
3.5%
11 10
5.0%
12 9
4.5%
13 7
3.5%
14 10
5.0%
ValueCountFrequency (%)
107 1
0.5%
101 1
0.5%
81 1
0.5%
67 1
0.5%
63 1
0.5%
61 1
0.5%
58 1
0.5%
54 2
1.0%
53 1
0.5%
52 1
0.5%

23.5
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.110553
Minimum2
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:09.104148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8.9
Q114
median22
Q333
95-th percentile60.2
Maximum136
Range134
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.256583
Coefficient of variation (CV)0.71029844
Kurtosis8.2495128
Mean27.110553
Median Absolute Deviation (MAD)9
Skewness2.3513126
Sum5395
Variance370.816
MonotonicityNot monotonic
2023-12-10T15:24:09.521964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 11
 
5.5%
10 9
 
4.5%
16 9
 
4.5%
33 8
 
4.0%
25 8
 
4.0%
13 8
 
4.0%
18 7
 
3.5%
20 7
 
3.5%
19 6
 
3.0%
31 6
 
3.0%
Other values (48) 120
60.3%
ValueCountFrequency (%)
2 1
 
0.5%
6 1
 
0.5%
7 4
 
2.0%
8 4
 
2.0%
9 5
2.5%
10 9
4.5%
11 11
5.5%
12 5
2.5%
13 8
4.0%
14 3
 
1.5%
ValueCountFrequency (%)
136 1
0.5%
117 1
0.5%
107 1
0.5%
87 1
0.5%
85 1
0.5%
74 1
0.5%
73 1
0.5%
72 1
0.5%
63 1
0.5%
62 1
0.5%

26.3
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.613065
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:09.802576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q111
median19
Q326.5
95-th percentile45.2
Maximum78
Range77
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation13.420399
Coefficient of variation (CV)0.62093916
Kurtosis3.7575952
Mean21.613065
Median Absolute Deviation (MAD)8
Skewness1.6740683
Sum4301
Variance180.1071
MonotonicityNot monotonic
2023-12-10T15:24:10.035871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11 20
 
10.1%
20 10
 
5.0%
15 10
 
5.0%
24 9
 
4.5%
19 8
 
4.0%
25 7
 
3.5%
12 7
 
3.5%
7 7
 
3.5%
10 7
 
3.5%
13 7
 
3.5%
Other values (39) 107
53.8%
ValueCountFrequency (%)
1 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 2
 
1.0%
7 7
 
3.5%
8 6
 
3.0%
9 5
 
2.5%
10 7
 
3.5%
11 20
10.1%
12 7
 
3.5%
ValueCountFrequency (%)
78 1
0.5%
75 1
0.5%
71 1
0.5%
70 1
0.5%
67 1
0.5%
58 1
0.5%
53 1
0.5%
52 1
0.5%
48 1
0.5%
47 1
0.5%

35.1
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.055276
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:10.307014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q111
median18
Q330.5
95-th percentile46.3
Maximum107
Range106
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation15.111102
Coefficient of variation (CV)0.68514681
Kurtosis5.1705929
Mean22.055276
Median Absolute Deviation (MAD)9
Skewness1.6797276
Sum4389
Variance228.34541
MonotonicityNot monotonic
2023-12-10T15:24:10.588923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 16
 
8.0%
11 11
 
5.5%
17 9
 
4.5%
19 8
 
4.0%
6 7
 
3.5%
16 7
 
3.5%
34 7
 
3.5%
9 6
 
3.0%
5 6
 
3.0%
22 6
 
3.0%
Other values (42) 116
58.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 4
2.0%
5 6
3.0%
6 7
3.5%
7 5
2.5%
8 4
2.0%
9 6
3.0%
10 4
2.0%
ValueCountFrequency (%)
107 1
 
0.5%
74 1
 
0.5%
70 1
 
0.5%
67 1
 
0.5%
63 1
 
0.5%
58 1
 
0.5%
53 1
 
0.5%
50 2
1.0%
49 1
 
0.5%
46 3
1.5%

159.1
Real number (ℝ)

Distinct138
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.59799
Minimum19
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:10.884777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile44
Q181.5
median127
Q3185
95-th percentile276.7
Maximum532
Range513
Interquartile range (IQR)103.5

Descriptive statistics

Standard deviation80.968501
Coefficient of variation (CV)0.57181957
Kurtosis2.7073523
Mean141.59799
Median Absolute Deviation (MAD)47
Skewness1.2912028
Sum28178
Variance6555.8982
MonotonicityNot monotonic
2023-12-10T15:24:11.182732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
112 5
 
2.5%
81 5
 
2.5%
75 4
 
2.0%
161 3
 
1.5%
169 3
 
1.5%
106 3
 
1.5%
84 3
 
1.5%
206 3
 
1.5%
99 3
 
1.5%
87 3
 
1.5%
Other values (128) 164
82.4%
ValueCountFrequency (%)
19 1
0.5%
27 1
0.5%
31 1
0.5%
36 2
1.0%
37 1
0.5%
40 1
0.5%
41 1
0.5%
43 1
0.5%
44 2
1.0%
45 2
1.0%
ValueCountFrequency (%)
532 1
0.5%
432 1
0.5%
396 1
0.5%
342 1
0.5%
335 1
0.5%
314 1
0.5%
312 1
0.5%
301 1
0.5%
291 1
0.5%
283 1
0.5%

18.2
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.175879
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:11.865230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.9
Q112.5
median21
Q340.5
95-th percentile82.3
Maximum146
Range144
Interquartile range (IQR)28

Descriptive statistics

Standard deviation24.401611
Coefficient of variation (CV)0.80864622
Kurtosis3.3896393
Mean30.175879
Median Absolute Deviation (MAD)10
Skewness1.7385707
Sum6005
Variance595.43861
MonotonicityNot monotonic
2023-12-10T15:24:12.154996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 13
 
6.5%
17 9
 
4.5%
9 9
 
4.5%
15 7
 
3.5%
10 7
 
3.5%
25 7
 
3.5%
20 7
 
3.5%
16 6
 
3.0%
18 6
 
3.0%
11 6
 
3.0%
Other values (58) 122
61.3%
ValueCountFrequency (%)
2 1
 
0.5%
6 4
 
2.0%
7 5
 
2.5%
8 5
 
2.5%
9 9
4.5%
10 7
3.5%
11 6
3.0%
12 13
6.5%
13 3
 
1.5%
14 5
 
2.5%
ValueCountFrequency (%)
146 1
0.5%
114 1
0.5%
110 1
0.5%
106 1
0.5%
94 1
0.5%
93 1
0.5%
89 1
0.5%
87 1
0.5%
86 1
0.5%
85 1
0.5%

17.6
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.763819
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:12.502228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q113
median20
Q333.5
95-th percentile61.2
Maximum146
Range144
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation20.860758
Coefficient of variation (CV)0.77943875
Kurtosis6.8647712
Mean26.763819
Median Absolute Deviation (MAD)9
Skewness2.1792813
Sum5326
Variance435.17121
MonotonicityNot monotonic
2023-12-10T15:24:12.787499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 11
 
5.5%
16 9
 
4.5%
8 9
 
4.5%
9 8
 
4.0%
12 8
 
4.0%
10 7
 
3.5%
15 7
 
3.5%
17 7
 
3.5%
13 6
 
3.0%
28 6
 
3.0%
Other values (51) 121
60.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
6 5
2.5%
7 4
2.0%
8 9
4.5%
9 8
4.0%
10 7
3.5%
11 5
2.5%
12 8
4.0%
13 6
3.0%
ValueCountFrequency (%)
146 1
0.5%
105 1
0.5%
100 1
0.5%
99 1
0.5%
93 1
0.5%
83 1
0.5%
77 1
0.5%
76 1
0.5%
67 1
0.5%
63 1
0.5%

22.2
Real number (ℝ)

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.899497
Minimum2
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:13.046201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q115
median23
Q340
95-th percentile78.2
Maximum201
Range199
Interquartile range (IQR)25

Descriptive statistics

Standard deviation28.220452
Coefficient of variation (CV)0.88466759
Kurtosis10.984767
Mean31.899497
Median Absolute Deviation (MAD)11
Skewness2.8054683
Sum6348
Variance796.39389
MonotonicityNot monotonic
2023-12-10T15:24:13.305973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
18 9
 
4.5%
21 8
 
4.0%
28 8
 
4.0%
19 8
 
4.0%
12 6
 
3.0%
33 6
 
3.0%
13 6
 
3.0%
16 6
 
3.0%
34 5
 
2.5%
Other values (59) 126
63.3%
ValueCountFrequency (%)
2 1
 
0.5%
4 1
 
0.5%
6 3
 
1.5%
7 4
 
2.0%
8 3
 
1.5%
9 11
5.5%
10 4
 
2.0%
11 5
2.5%
12 6
3.0%
13 6
3.0%
ValueCountFrequency (%)
201 1
0.5%
175 1
0.5%
147 1
0.5%
138 1
0.5%
121 1
0.5%
101 1
0.5%
93 2
1.0%
92 1
0.5%
80 1
0.5%
78 1
0.5%

25.3
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.437186
Minimum1
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:13.536640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q113
median21
Q331
95-th percentile57.1
Maximum123
Range122
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.864949
Coefficient of variation (CV)0.70231623
Kurtosis7.4257677
Mean25.437186
Median Absolute Deviation (MAD)8
Skewness2.2563449
Sum5062
Variance319.15639
MonotonicityNot monotonic
2023-12-10T15:24:13.752965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 15
 
7.5%
13 9
 
4.5%
24 8
 
4.0%
20 8
 
4.0%
12 8
 
4.0%
26 8
 
4.0%
15 8
 
4.0%
16 7
 
3.5%
19 7
 
3.5%
8 7
 
3.5%
Other values (47) 114
57.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 1
 
0.5%
7 2
 
1.0%
8 7
3.5%
9 5
 
2.5%
10 2
 
1.0%
11 15
7.5%
12 8
4.0%
ValueCountFrequency (%)
123 1
0.5%
106 1
0.5%
101 1
0.5%
85 1
0.5%
75 1
0.5%
69 1
0.5%
66 1
0.5%
63 1
0.5%
61 1
0.5%
58 1
0.5%

42.2
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.18593
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:13.979624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q113.5
median24
Q338.5
95-th percentile57.3
Maximum131
Range130
Interquartile range (IQR)25

Descriptive statistics

Standard deviation18.549432
Coefficient of variation (CV)0.68231736
Kurtosis5.0027575
Mean27.18593
Median Absolute Deviation (MAD)12
Skewness1.6200069
Sum5410
Variance344.08142
MonotonicityNot monotonic
2023-12-10T15:24:14.216614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 9
 
4.5%
46 8
 
4.0%
12 7
 
3.5%
14 7
 
3.5%
8 7
 
3.5%
27 7
 
3.5%
26 7
 
3.5%
17 6
 
3.0%
33 6
 
3.0%
9 6
 
3.0%
Other values (53) 129
64.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 2
 
1.0%
5 3
1.5%
6 3
1.5%
7 3
1.5%
8 7
3.5%
9 6
3.0%
10 4
2.0%
ValueCountFrequency (%)
131 1
0.5%
89 1
0.5%
82 1
0.5%
81 1
0.5%
80 1
0.5%
78 1
0.5%
67 1
0.5%
61 2
1.0%
60 1
0.5%
57 1
0.5%

72.2
Real number (ℝ)

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.160804
Minimum14
Maximum413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:14.461475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile26
Q144.5
median73
Q3110.5
95-th percentile234.1
Maximum413
Range399
Interquartile range (IQR)66

Descriptive statistics

Standard deviation66.889659
Coefficient of variation (CV)0.7337546
Kurtosis4.216077
Mean91.160804
Median Absolute Deviation (MAD)31
Skewness1.8820627
Sum18141
Variance4474.2265
MonotonicityNot monotonic
2023-12-10T15:24:14.725900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 5
 
2.5%
49 5
 
2.5%
75 5
 
2.5%
66 5
 
2.5%
34 5
 
2.5%
71 5
 
2.5%
82 4
 
2.0%
102 4
 
2.0%
31 4
 
2.0%
96 4
 
2.0%
Other values (106) 153
76.9%
ValueCountFrequency (%)
14 1
 
0.5%
20 2
1.0%
22 1
 
0.5%
23 3
1.5%
25 2
1.0%
26 3
1.5%
29 1
 
0.5%
30 3
1.5%
31 4
2.0%
32 1
 
0.5%
ValueCountFrequency (%)
413 1
0.5%
325 1
0.5%
322 1
0.5%
317 1
0.5%
300 1
0.5%
285 1
0.5%
266 1
0.5%
243 1
0.5%
237 1
0.5%
235 1
0.5%

72.3
Real number (ℝ)

Distinct128
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.1206
Minimum17
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:14.961074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile29
Q149.5
median77
Q3136.5
95-th percentile295.8
Maximum478
Range461
Interquartile range (IQR)87

Descriptive statistics

Standard deviation89.431287
Coefficient of variation (CV)0.8271438
Kurtosis4.6387668
Mean108.1206
Median Absolute Deviation (MAD)37
Skewness2.0423383
Sum21516
Variance7997.9551
MonotonicityNot monotonic
2023-12-10T15:24:15.262926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 5
 
2.5%
46 5
 
2.5%
39 4
 
2.0%
50 4
 
2.0%
42 4
 
2.0%
36 4
 
2.0%
69 4
 
2.0%
75 4
 
2.0%
52 3
 
1.5%
85 3
 
1.5%
Other values (118) 159
79.9%
ValueCountFrequency (%)
17 1
0.5%
20 1
0.5%
21 1
0.5%
22 1
0.5%
23 1
0.5%
24 1
0.5%
25 1
0.5%
27 1
0.5%
28 1
0.5%
29 2
1.0%
ValueCountFrequency (%)
478 1
0.5%
476 1
0.5%
468 1
0.5%
435 1
0.5%
389 1
0.5%
384 1
0.5%
351 1
0.5%
331 1
0.5%
309 1
0.5%
303 1
0.5%

11.11
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.427136
Minimum3
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:15.513228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median14
Q324
95-th percentile67.4
Maximum174
Range171
Interquartile range (IQR)16

Descriptive statistics

Standard deviation23.47583
Coefficient of variation (CV)1.0956122
Kurtosis13.074503
Mean21.427136
Median Absolute Deviation (MAD)7
Skewness3.1396855
Sum4264
Variance551.11461
MonotonicityNot monotonic
2023-12-10T15:24:15.750691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
7 14
 
7.0%
5 11
 
5.5%
8 10
 
5.0%
6 10
 
5.0%
10 9
 
4.5%
4 8
 
4.0%
14 8
 
4.0%
9 7
 
3.5%
12 7
 
3.5%
Other values (46) 101
50.8%
ValueCountFrequency (%)
3 3
 
1.5%
4 8
4.0%
5 11
5.5%
6 10
5.0%
7 14
7.0%
8 10
5.0%
9 7
3.5%
10 9
4.5%
11 14
7.0%
12 7
3.5%
ValueCountFrequency (%)
174 1
0.5%
129 2
1.0%
101 1
0.5%
89 1
0.5%
83 1
0.5%
81 1
0.5%
74 1
0.5%
71 2
1.0%
67 1
0.5%
65 1
0.5%

11.12
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.80402
Minimum3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:16.017411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q324
95-th percentile48.1
Maximum100
Range97
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.260922
Coefficient of variation (CV)0.81157763
Kurtosis5.2789886
Mean18.80402
Median Absolute Deviation (MAD)7
Skewness2.0249118
Sum3742
Variance232.89574
MonotonicityNot monotonic
2023-12-10T15:24:16.259593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 13
 
6.5%
8 12
 
6.0%
11 12
 
6.0%
5 11
 
5.5%
9 10
 
5.0%
12 10
 
5.0%
17 9
 
4.5%
6 8
 
4.0%
14 8
 
4.0%
13 8
 
4.0%
Other values (43) 98
49.2%
ValueCountFrequency (%)
3 3
 
1.5%
4 4
 
2.0%
5 11
5.5%
6 8
4.0%
7 13
6.5%
8 12
6.0%
9 10
5.0%
10 6
3.0%
11 12
6.0%
12 10
5.0%
ValueCountFrequency (%)
100 1
0.5%
73 2
1.0%
66 1
0.5%
63 1
0.5%
61 1
0.5%
59 1
0.5%
57 1
0.5%
53 1
0.5%
49 1
0.5%
48 1
0.5%

13.9
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.055276
Minimum3
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:16.910892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q326
95-th percentile54
Maximum113
Range110
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.222862
Coefficient of variation (CV)0.8654772
Kurtosis7.0404194
Mean21.055276
Median Absolute Deviation (MAD)7
Skewness2.338535
Sum4190
Variance332.07269
MonotonicityNot monotonic
2023-12-10T15:24:17.146536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 12
 
6.0%
8 12
 
6.0%
6 12
 
6.0%
7 10
 
5.0%
11 10
 
5.0%
12 10
 
5.0%
9 8
 
4.0%
18 8
 
4.0%
13 8
 
4.0%
16 7
 
3.5%
Other values (41) 102
51.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 4
 
2.0%
5 6
3.0%
6 12
6.0%
7 10
5.0%
8 12
6.0%
9 8
4.0%
10 6
3.0%
11 10
5.0%
12 10
5.0%
ValueCountFrequency (%)
113 1
 
0.5%
104 1
 
0.5%
102 1
 
0.5%
89 1
 
0.5%
70 1
 
0.5%
67 1
 
0.5%
63 1
 
0.5%
61 1
 
0.5%
56 1
 
0.5%
54 3
1.5%

73.4
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.61809
Minimum14
Maximum558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:17.412434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile27.9
Q143
median74
Q3119
95-th percentile271.2
Maximum558
Range544
Interquartile range (IQR)76

Descriptive statistics

Standard deviation82.096733
Coefficient of variation (CV)0.82411471
Kurtosis6.2777105
Mean99.61809
Median Absolute Deviation (MAD)35
Skewness2.1511189
Sum19824
Variance6739.8736
MonotonicityNot monotonic
2023-12-10T15:24:17.676083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 7
 
3.5%
51 4
 
2.0%
94 4
 
2.0%
32 4
 
2.0%
65 4
 
2.0%
39 4
 
2.0%
75 4
 
2.0%
45 4
 
2.0%
31 4
 
2.0%
36 3
 
1.5%
Other values (108) 157
78.9%
ValueCountFrequency (%)
14 1
 
0.5%
20 1
 
0.5%
21 2
1.0%
23 1
 
0.5%
24 3
1.5%
27 2
1.0%
28 2
1.0%
30 2
1.0%
31 4
2.0%
32 4
2.0%
ValueCountFrequency (%)
558 1
0.5%
435 1
0.5%
382 1
0.5%
347 1
0.5%
317 1
0.5%
303 1
0.5%
291 1
0.5%
280 2
1.0%
273 1
0.5%
271 1
0.5%

15.13
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.904523
Minimum3
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:17.917042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.9
Q18
median13
Q319
95-th percentile36.2
Maximum97
Range94
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.44243
Coefficient of variation (CV)0.78232026
Kurtosis11.898419
Mean15.904523
Median Absolute Deviation (MAD)5
Skewness2.8157051
Sum3165
Variance154.81407
MonotonicityNot monotonic
2023-12-10T15:24:18.138235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 18
 
9.0%
15 14
 
7.0%
14 14
 
7.0%
6 13
 
6.5%
9 11
 
5.5%
12 10
 
5.0%
8 9
 
4.5%
11 9
 
4.5%
10 9
 
4.5%
4 8
 
4.0%
Other values (30) 84
42.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 8
4.0%
5 6
 
3.0%
6 13
6.5%
7 18
9.0%
8 9
4.5%
9 11
5.5%
10 9
4.5%
11 9
4.5%
12 10
5.0%
ValueCountFrequency (%)
97 1
0.5%
70 1
0.5%
69 1
0.5%
59 1
0.5%
48 2
1.0%
44 1
0.5%
42 1
0.5%
40 1
0.5%
38 1
0.5%
36 2
1.0%

21.3
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.638191
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:18.339087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median11
Q319
95-th percentile29
Maximum63
Range62
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.2828586
Coefficient of variation (CV)0.68065175
Kurtosis4.5661662
Mean13.638191
Median Absolute Deviation (MAD)5
Skewness1.6340192
Sum2714
Variance86.171463
MonotonicityNot monotonic
2023-12-10T15:24:18.555792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
9 16
 
8.0%
11 14
 
7.0%
6 13
 
6.5%
20 11
 
5.5%
7 11
 
5.5%
5 10
 
5.0%
10 10
 
5.0%
4 9
 
4.5%
16 8
 
4.0%
8 7
 
3.5%
Other values (26) 90
45.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 6
 
3.0%
3 7
3.5%
4 9
4.5%
5 10
5.0%
6 13
6.5%
7 11
5.5%
8 7
3.5%
9 16
8.0%
10 10
5.0%
ValueCountFrequency (%)
63 1
 
0.5%
49 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
39 1
 
0.5%
37 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
29 4
2.0%

10.8
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.160804
Minimum3
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:18.796433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median17
Q337
95-th percentile111.3
Maximum235
Range232
Interquartile range (IQR)28

Descriptive statistics

Standard deviation40.2943
Coefficient of variation (CV)1.2529009
Kurtosis8.1101721
Mean32.160804
Median Absolute Deviation (MAD)10
Skewness2.6567574
Sum6400
Variance1623.6306
MonotonicityNot monotonic
2023-12-10T15:24:19.012866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 16
 
8.0%
6 11
 
5.5%
5 11
 
5.5%
11 9
 
4.5%
9 9
 
4.5%
10 9
 
4.5%
14 6
 
3.0%
19 5
 
2.5%
26 5
 
2.5%
15 5
 
2.5%
Other values (61) 113
56.8%
ValueCountFrequency (%)
3 3
 
1.5%
4 4
 
2.0%
5 11
5.5%
6 11
5.5%
7 16
8.0%
8 3
 
1.5%
9 9
4.5%
10 9
4.5%
11 9
4.5%
12 4
 
2.0%
ValueCountFrequency (%)
235 2
1.0%
179 1
0.5%
175 1
0.5%
171 2
1.0%
147 1
0.5%
132 1
0.5%
125 1
0.5%
114 1
0.5%
111 1
0.5%
107 1
0.5%

10.9
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.025126
Minimum3
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:19.239623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median14
Q326
95-th percentile58.2
Maximum128
Range125
Interquartile range (IQR)18

Descriptive statistics

Standard deviation17.602065
Coefficient of variation (CV)0.87899899
Kurtosis7.8798871
Mean20.025126
Median Absolute Deviation (MAD)7
Skewness2.285372
Sum3985
Variance309.8327
MonotonicityNot monotonic
2023-12-10T15:24:19.469443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
7 11
 
5.5%
6 11
 
5.5%
12 11
 
5.5%
10 10
 
5.0%
15 9
 
4.5%
8 9
 
4.5%
11 8
 
4.0%
5 8
 
4.0%
18 8
 
4.0%
Other values (45) 103
51.8%
ValueCountFrequency (%)
3 5
2.5%
4 7
3.5%
5 8
4.0%
6 11
5.5%
7 11
5.5%
8 9
4.5%
9 11
5.5%
10 10
5.0%
11 8
4.0%
12 11
5.5%
ValueCountFrequency (%)
128 1
0.5%
82 1
0.5%
75 1
0.5%
74 1
0.5%
71 1
0.5%
64 1
0.5%
63 2
1.0%
61 1
0.5%
60 1
0.5%
58 1
0.5%

13.10
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.125628
Minimum3
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:19.743021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q327.5
95-th percentile68.6
Maximum207
Range204
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation24.894916
Coefficient of variation (CV)1.0765077
Kurtosis18.348324
Mean23.125628
Median Absolute Deviation (MAD)8
Skewness3.5222882
Sum4602
Variance619.75687
MonotonicityNot monotonic
2023-12-10T15:24:20.016006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
12 11
 
5.5%
9 10
 
5.0%
7 10
 
5.0%
5 10
 
5.0%
16 9
 
4.5%
11 9
 
4.5%
6 9
 
4.5%
8 6
 
3.0%
14 6
 
3.0%
Other values (46) 105
52.8%
ValueCountFrequency (%)
3 2
 
1.0%
4 5
 
2.5%
5 10
5.0%
6 9
4.5%
7 10
5.0%
8 6
3.0%
9 10
5.0%
10 14
7.0%
11 9
4.5%
12 11
5.5%
ValueCountFrequency (%)
207 1
0.5%
151 1
0.5%
103 1
0.5%
102 1
0.5%
92 1
0.5%
80 1
0.5%
78 1
0.5%
76 1
0.5%
74 2
1.0%
68 1
0.5%

15.14
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.41206
Minimum2
Maximum116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:20.270303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q320
95-th percentile45.4
Maximum116
Range114
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.036691
Coefficient of variation (CV)0.86357908
Kurtosis13.408265
Mean17.41206
Median Absolute Deviation (MAD)5
Skewness3.0685769
Sum3465
Variance226.10208
MonotonicityNot monotonic
2023-12-10T15:24:20.544167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7 16
 
8.0%
9 14
 
7.0%
13 14
 
7.0%
8 13
 
6.5%
17 11
 
5.5%
10 11
 
5.5%
15 9
 
4.5%
6 9
 
4.5%
14 9
 
4.5%
5 8
 
4.0%
Other values (33) 85
42.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 3
 
1.5%
5 8
4.0%
6 9
4.5%
7 16
8.0%
8 13
6.5%
9 14
7.0%
10 11
5.5%
11 6
 
3.0%
ValueCountFrequency (%)
116 1
0.5%
97 1
0.5%
73 1
0.5%
57 2
1.0%
56 1
0.5%
55 2
1.0%
49 2
1.0%
45 1
0.5%
44 1
0.5%
43 2
1.0%

24.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.683417
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:20.812667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median13
Q322.5
95-th percentile33.2
Maximum77
Range76
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation11.027297
Coefficient of variation (CV)0.70311829
Kurtosis4.8229546
Mean15.683417
Median Absolute Deviation (MAD)7
Skewness1.6057075
Sum3121
Variance121.60129
MonotonicityNot monotonic
2023-12-10T15:24:21.057972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3 12
 
6.0%
11 11
 
5.5%
7 11
 
5.5%
8 11
 
5.5%
10 10
 
5.0%
9 9
 
4.5%
15 8
 
4.0%
23 8
 
4.0%
12 8
 
4.0%
13 8
 
4.0%
Other values (31) 103
51.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 12
6.0%
4 7
3.5%
5 6
3.0%
6 7
3.5%
7 11
5.5%
8 11
5.5%
9 9
4.5%
10 10
5.0%
ValueCountFrequency (%)
77 1
0.5%
53 1
0.5%
48 2
1.0%
46 1
0.5%
45 1
0.5%
39 1
0.5%
36 2
1.0%
35 1
0.5%
33 1
0.5%
32 1
0.5%

85
Real number (ℝ)

Distinct96
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.246231
Minimum17
Maximum247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:21.326468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile23
Q140
median61
Q393
95-th percentile135.2
Maximum247
Range230
Interquartile range (IQR)53

Descriptive statistics

Standard deviation38.578854
Coefficient of variation (CV)0.54919464
Kurtosis2.1598227
Mean70.246231
Median Absolute Deviation (MAD)24
Skewness1.1709329
Sum13979
Variance1488.328
MonotonicityNot monotonic
2023-12-10T15:24:21.578685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 8
 
4.0%
45 5
 
2.5%
59 5
 
2.5%
37 5
 
2.5%
87 4
 
2.0%
76 4
 
2.0%
78 4
 
2.0%
67 4
 
2.0%
54 4
 
2.0%
64 4
 
2.0%
Other values (86) 152
76.4%
ValueCountFrequency (%)
17 3
1.5%
18 3
1.5%
19 1
 
0.5%
22 2
1.0%
23 3
1.5%
24 2
1.0%
25 3
1.5%
26 2
1.0%
28 2
1.0%
30 2
1.0%
ValueCountFrequency (%)
247 1
0.5%
211 1
0.5%
194 1
0.5%
158 1
0.5%
156 1
0.5%
151 1
0.5%
147 1
0.5%
143 1
0.5%
137 2
1.0%
135 1
0.5%

86
Real number (ℝ)

Distinct111
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.768844
Minimum11
Maximum291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:21.834747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile22.7
Q142
median68
Q3101
95-th percentile151.1
Maximum291
Range280
Interquartile range (IQR)59

Descriptive statistics

Standard deviation43.918851
Coefficient of variation (CV)0.57964262
Kurtosis2.5118179
Mean75.768844
Median Absolute Deviation (MAD)27
Skewness1.2220951
Sum15078
Variance1928.8655
MonotonicityNot monotonic
2023-12-10T15:24:22.070611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 6
 
3.0%
43 6
 
3.0%
68 5
 
2.5%
41 5
 
2.5%
35 4
 
2.0%
27 4
 
2.0%
44 4
 
2.0%
60 4
 
2.0%
94 3
 
1.5%
47 3
 
1.5%
Other values (101) 155
77.9%
ValueCountFrequency (%)
11 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
18 1
 
0.5%
19 2
1.0%
20 3
1.5%
23 1
 
0.5%
24 2
1.0%
25 1
 
0.5%
ValueCountFrequency (%)
291 1
0.5%
226 1
0.5%
196 1
0.5%
177 2
1.0%
170 1
0.5%
168 1
0.5%
160 2
1.0%
152 1
0.5%
151 1
0.5%
150 2
1.0%

13.11
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.984925
Minimum4
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:22.667442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q18
median13
Q319
95-th percentile34.2
Maximum47
Range43
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.4095789
Coefficient of variation (CV)0.62793635
Kurtosis1.1992611
Mean14.984925
Median Absolute Deviation (MAD)6
Skewness1.2478909
Sum2982
Variance88.540176
MonotonicityNot monotonic
2023-12-10T15:24:22.883193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 16
 
8.0%
6 15
 
7.5%
14 12
 
6.0%
8 12
 
6.0%
5 11
 
5.5%
10 11
 
5.5%
12 11
 
5.5%
13 10
 
5.0%
16 9
 
4.5%
9 8
 
4.0%
Other values (27) 84
42.2%
ValueCountFrequency (%)
4 7
3.5%
5 11
5.5%
6 15
7.5%
7 16
8.0%
8 12
6.0%
9 8
4.0%
10 11
5.5%
11 6
 
3.0%
12 11
5.5%
13 10
5.0%
ValueCountFrequency (%)
47 1
 
0.5%
46 1
 
0.5%
44 2
1.0%
39 1
 
0.5%
37 3
1.5%
36 2
1.0%
34 3
1.5%
33 1
 
0.5%
32 1
 
0.5%
31 3
1.5%

90.2
Real number (ℝ)

Distinct139
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.41709
Minimum26
Maximum1125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:23.100143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile37.9
Q163
median113
Q3289.5
95-th percentile658.3
Maximum1125
Range1099
Interquartile range (IQR)226.5

Descriptive statistics

Standard deviation221.32944
Coefficient of variation (CV)1.0568834
Kurtosis2.9581391
Mean209.41709
Median Absolute Deviation (MAD)64
Skewness1.8067582
Sum41674
Variance48986.719
MonotonicityNot monotonic
2023-12-10T15:24:23.323429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 5
 
2.5%
46 5
 
2.5%
38 4
 
2.0%
49 4
 
2.0%
93 4
 
2.0%
34 3
 
1.5%
29 3
 
1.5%
73 3
 
1.5%
101 3
 
1.5%
129 3
 
1.5%
Other values (129) 162
81.4%
ValueCountFrequency (%)
26 2
1.0%
29 3
1.5%
33 1
 
0.5%
34 3
1.5%
37 1
 
0.5%
38 4
2.0%
40 3
1.5%
42 1
 
0.5%
43 2
1.0%
44 2
1.0%
ValueCountFrequency (%)
1125 1
0.5%
1094 1
0.5%
953 1
0.5%
839 1
0.5%
803 1
0.5%
797 1
0.5%
759 1
0.5%
736 1
0.5%
735 1
0.5%
679 1
0.5%

13.12
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.306533
Minimum3
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:23.600178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median12
Q318
95-th percentile31.3
Maximum66
Range63
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.944357
Coefficient of variation (CV)0.62519391
Kurtosis5.2019204
Mean14.306533
Median Absolute Deviation (MAD)5
Skewness1.7010624
Sum2847
Variance80.001523
MonotonicityNot monotonic
2023-12-10T15:24:23.808838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
10 15
 
7.5%
7 13
 
6.5%
6 12
 
6.0%
12 12
 
6.0%
8 12
 
6.0%
11 11
 
5.5%
4 10
 
5.0%
5 10
 
5.0%
13 10
 
5.0%
14 9
 
4.5%
Other values (25) 85
42.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 10
5.0%
5 10
5.0%
6 12
6.0%
7 13
6.5%
8 12
6.0%
9 7
3.5%
10 15
7.5%
11 11
5.5%
12 12
6.0%
ValueCountFrequency (%)
66 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
37 2
1.0%
35 2
1.0%
34 3
1.5%
31 1
 
0.5%
30 3
1.5%
29 2
1.0%
28 2
1.0%

16.2
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.39196
Minimum4
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:24.060360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q18
median13
Q320
95-th percentile35.1
Maximum55
Range51
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.3060823
Coefficient of variation (CV)0.60460672
Kurtosis1.4637396
Mean15.39196
Median Absolute Deviation (MAD)5
Skewness1.2462285
Sum3063
Variance86.603167
MonotonicityNot monotonic
2023-12-10T15:24:24.279668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8 18
 
9.0%
7 18
 
9.0%
15 13
 
6.5%
11 13
 
6.5%
10 10
 
5.0%
12 9
 
4.5%
9 8
 
4.0%
14 8
 
4.0%
6 8
 
4.0%
18 7
 
3.5%
Other values (27) 87
43.7%
ValueCountFrequency (%)
4 6
 
3.0%
5 7
 
3.5%
6 8
4.0%
7 18
9.0%
8 18
9.0%
9 8
4.0%
10 10
5.0%
11 13
6.5%
12 9
4.5%
13 6
 
3.0%
ValueCountFrequency (%)
55 1
 
0.5%
41 1
 
0.5%
40 2
1.0%
39 1
 
0.5%
38 2
1.0%
36 3
1.5%
35 2
1.0%
34 1
 
0.5%
33 1
 
0.5%
32 2
1.0%

18.3
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.321608
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:24.508054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q317
95-th percentile26.1
Maximum46
Range44
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.4316471
Coefficient of variation (CV)0.60313939
Kurtosis2.1252975
Mean12.321608
Median Absolute Deviation (MAD)4
Skewness1.2388427
Sum2452
Variance55.229379
MonotonicityNot monotonic
2023-12-10T15:24:24.737776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7 24
 
12.1%
5 14
 
7.0%
10 13
 
6.5%
6 12
 
6.0%
8 12
 
6.0%
17 12
 
6.0%
13 11
 
5.5%
9 10
 
5.0%
18 9
 
4.5%
3 9
 
4.5%
Other values (21) 73
36.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
 
4.5%
4 6
 
3.0%
5 14
7.0%
6 12
6.0%
7 24
12.1%
8 12
6.0%
9 10
5.0%
10 13
6.5%
11 7
 
3.5%
ValueCountFrequency (%)
46 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
29 3
1.5%
28 1
 
0.5%
27 3
1.5%
26 2
1.0%
25 2
1.0%
24 4
2.0%
23 1
 
0.5%

24.2
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.798995
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:24.935094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median10
Q319
95-th percentile31
Maximum70
Range69
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.484226
Coefficient of variation (CV)0.81914445
Kurtosis4.1228304
Mean12.798995
Median Absolute Deviation (MAD)6
Skewness1.5567018
Sum2547
Variance109.91899
MonotonicityNot monotonic
2023-12-10T15:24:25.191431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2 20
 
10.1%
4 14
 
7.0%
3 14
 
7.0%
7 11
 
5.5%
11 10
 
5.0%
10 10
 
5.0%
8 9
 
4.5%
23 8
 
4.0%
5 8
 
4.0%
9 7
 
3.5%
Other values (29) 88
44.2%
ValueCountFrequency (%)
1 4
 
2.0%
2 20
10.1%
3 14
7.0%
4 14
7.0%
5 8
 
4.0%
6 6
 
3.0%
7 11
5.5%
8 9
4.5%
9 7
 
3.5%
10 10
5.0%
ValueCountFrequency (%)
70 1
 
0.5%
47 1
 
0.5%
44 1
 
0.5%
42 1
 
0.5%
37 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
32 2
1.0%
31 4
2.0%
30 2
1.0%

12.8
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.477387
Minimum3
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:25.439350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q326
95-th percentile53.1
Maximum87
Range84
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.170751
Coefficient of variation (CV)0.78968819
Kurtosis2.320553
Mean20.477387
Median Absolute Deviation (MAD)8
Skewness1.5571277
Sum4075
Variance261.49317
MonotonicityNot monotonic
2023-12-10T15:24:25.676916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
6.5%
7 13
 
6.5%
8 11
 
5.5%
12 10
 
5.0%
11 10
 
5.0%
17 9
 
4.5%
10 9
 
4.5%
9 9
 
4.5%
13 8
 
4.0%
18 7
 
3.5%
Other values (46) 100
50.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 5
 
2.5%
6 13
6.5%
7 13
6.5%
8 11
5.5%
9 9
4.5%
10 9
4.5%
11 10
5.0%
12 10
5.0%
ValueCountFrequency (%)
87 1
0.5%
82 1
0.5%
72 1
0.5%
66 1
0.5%
62 1
0.5%
60 1
0.5%
59 1
0.5%
57 1
0.5%
55 1
0.5%
54 1
0.5%

12.9
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.703518
Minimum2
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:25.913155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q320
95-th percentile36
Maximum68
Range66
Interquartile range (IQR)13

Descriptive statistics

Standard deviation10.401415
Coefficient of variation (CV)0.70740997
Kurtosis3.4415246
Mean14.703518
Median Absolute Deviation (MAD)5
Skewness1.568002
Sum2926
Variance108.18943
MonotonicityNot monotonic
2023-12-10T15:24:26.171547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 14
 
7.0%
10 14
 
7.0%
5 13
 
6.5%
14 13
 
6.5%
11 13
 
6.5%
7 12
 
6.0%
9 11
 
5.5%
4 11
 
5.5%
8 10
 
5.0%
19 7
 
3.5%
Other values (29) 81
40.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 2
 
1.0%
4 11
5.5%
5 13
6.5%
6 14
7.0%
7 12
6.0%
8 10
5.0%
9 11
5.5%
10 14
7.0%
11 13
6.5%
ValueCountFrequency (%)
68 1
 
0.5%
50 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
40 1
 
0.5%
38 3
1.5%
37 1
 
0.5%
36 2
1.0%
35 1
 
0.5%
32 3
1.5%

15.15
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.703518
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:26.409081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q319
95-th percentile38
Maximum66
Range65
Interquartile range (IQR)12

Descriptive statistics

Standard deviation10.577637
Coefficient of variation (CV)0.71939499
Kurtosis3.271006
Mean14.703518
Median Absolute Deviation (MAD)5
Skewness1.6607729
Sum2926
Variance111.8864
MonotonicityNot monotonic
2023-12-10T15:24:26.652778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10 16
 
8.0%
6 16
 
8.0%
7 14
 
7.0%
8 13
 
6.5%
5 12
 
6.0%
11 12
 
6.0%
12 10
 
5.0%
13 9
 
4.5%
9 8
 
4.0%
14 6
 
3.0%
Other values (34) 83
41.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 3
 
1.5%
4 5
 
2.5%
5 12
6.0%
6 16
8.0%
7 14
7.0%
8 13
6.5%
9 8
4.0%
10 16
8.0%
ValueCountFrequency (%)
66 1
0.5%
52 1
0.5%
45 1
0.5%
43 1
0.5%
42 1
0.5%
41 1
0.5%
40 2
1.0%
39 1
0.5%
38 2
1.0%
36 2
1.0%

18.4
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.768844
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:26.886121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q316
95-th percentile26.1
Maximum49
Range48
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.0633122
Coefficient of variation (CV)0.68514054
Kurtosis3.3830916
Mean11.768844
Median Absolute Deviation (MAD)5
Skewness1.5473498
Sum2342
Variance65.017004
MonotonicityNot monotonic
2023-12-10T15:24:27.162362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
5 19
 
9.5%
7 18
 
9.0%
8 15
 
7.5%
6 13
 
6.5%
10 13
 
6.5%
9 10
 
5.0%
16 9
 
4.5%
18 8
 
4.0%
4 8
 
4.0%
14 8
 
4.0%
Other values (23) 78
39.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 7
 
3.5%
4 8
4.0%
5 19
9.5%
6 13
6.5%
7 18
9.0%
8 15
7.5%
9 10
5.0%
10 13
6.5%
ValueCountFrequency (%)
49 1
 
0.5%
45 1
 
0.5%
40 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
30 2
1.0%
28 1
 
0.5%
27 2
1.0%
26 2
1.0%
25 4
2.0%

29
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.467337
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:27.401345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median12
Q323
95-th percentile36
Maximum86
Range85
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.140949
Coefficient of variation (CV)0.90831844
Kurtosis3.8011238
Mean14.467337
Median Absolute Deviation (MAD)9
Skewness1.4692339
Sum2879
Variance172.68453
MonotonicityNot monotonic
2023-12-10T15:24:27.636874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 21
 
10.6%
2 18
 
9.0%
1 17
 
8.5%
12 10
 
5.0%
14 7
 
3.5%
6 7
 
3.5%
5 7
 
3.5%
9 6
 
3.0%
23 6
 
3.0%
17 6
 
3.0%
Other values (33) 94
47.2%
ValueCountFrequency (%)
1 17
8.5%
2 18
9.0%
3 21
10.6%
4 6
 
3.0%
5 7
 
3.5%
6 7
 
3.5%
7 4
 
2.0%
8 4
 
2.0%
9 6
 
3.0%
10 5
 
2.5%
ValueCountFrequency (%)
86 1
 
0.5%
54 1
 
0.5%
52 2
1.0%
42 1
 
0.5%
41 1
 
0.5%
40 2
1.0%
39 1
 
0.5%
36 4
2.0%
35 2
1.0%
34 1
 
0.5%

39
Real number (ℝ)

Distinct86
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.773869
Minimum10
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:28.252152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13.9
Q121
median37
Q359
95-th percentile110.1
Maximum278
Range268
Interquartile range (IQR)38

Descriptive statistics

Standard deviation36.367014
Coefficient of variation (CV)0.77750707
Kurtosis9.4416455
Mean46.773869
Median Absolute Deviation (MAD)17
Skewness2.4277756
Sum9308
Variance1322.5597
MonotonicityNot monotonic
2023-12-10T15:24:28.501777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 9
 
4.5%
18 8
 
4.0%
20 6
 
3.0%
36 6
 
3.0%
16 5
 
2.5%
21 5
 
2.5%
40 5
 
2.5%
42 4
 
2.0%
19 4
 
2.0%
47 4
 
2.0%
Other values (76) 143
71.9%
ValueCountFrequency (%)
10 1
 
0.5%
11 3
 
1.5%
12 3
 
1.5%
13 3
 
1.5%
14 4
2.0%
15 1
 
0.5%
16 5
2.5%
17 9
4.5%
18 8
4.0%
19 4
2.0%
ValueCountFrequency (%)
278 1
0.5%
199 1
0.5%
166 1
0.5%
156 1
0.5%
151 1
0.5%
132 1
0.5%
127 1
0.5%
117 1
0.5%
113 1
0.5%
111 1
0.5%

11305534
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11531354
Minimum11305534
Maximum11680750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:28.754261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11305534
5-th percentile11305545
Q111500510
median11500620
Q311680590
95-th percentile11680691
Maximum11680750
Range375216
Interquartile range (IQR)180080

Descriptive statistics

Standard deviation149474.86
Coefficient of variation (CV)0.012962473
Kurtosis-1.2999486
Mean11531354
Median Absolute Deviation (MAD)179960
Skewness-0.40977089
Sum2.2947394 × 109
Variance2.2342734 × 1010
MonotonicityNot monotonic
2023-12-10T15:24:29.007115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11680640 8
 
4.0%
11500640 7
 
3.5%
11680565 7
 
3.5%
11500620 7
 
3.5%
11500603 7
 
3.5%
11305555 6
 
3.0%
11500615 6
 
3.0%
11680545 6
 
3.0%
11680521 6
 
3.0%
11305545 6
 
3.0%
Other values (41) 133
66.8%
ValueCountFrequency (%)
11305534 4
2.0%
11305535 3
1.5%
11305545 6
3.0%
11305555 6
3.0%
11305575 1
 
0.5%
11305595 5
2.5%
11305603 2
 
1.0%
11305615 3
1.5%
11305625 5
2.5%
11305635 4
2.0%
ValueCountFrequency (%)
11680750 1
 
0.5%
11680730 3
1.5%
11680720 3
1.5%
11680700 3
1.5%
11680690 4
2.0%
11680670 1
 
0.5%
11680660 1
 
0.5%
11680656 5
2.5%
11680655 5
2.5%
11680650 4
2.0%

246.1
Real number (ℝ)

Distinct163
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.36683
Minimum15
Maximum1025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:29.222331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile81.9
Q1138
median226
Q3342
95-th percentile530.7
Maximum1025
Range1010
Interquartile range (IQR)204

Descriptive statistics

Standard deviation157.84659
Coefficient of variation (CV)0.61093984
Kurtosis3.9377709
Mean258.36683
Median Absolute Deviation (MAD)95
Skewness1.5995212
Sum51415
Variance24915.547
MonotonicityNot monotonic
2023-12-10T15:24:29.451994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126 4
 
2.0%
173 3
 
1.5%
361 3
 
1.5%
155 3
 
1.5%
174 2
 
1.0%
320 2
 
1.0%
139 2
 
1.0%
154 2
 
1.0%
273 2
 
1.0%
291 2
 
1.0%
Other values (153) 174
87.4%
ValueCountFrequency (%)
15 1
0.5%
48 1
0.5%
70 1
0.5%
71 1
0.5%
72 1
0.5%
75 1
0.5%
78 1
0.5%
79 1
0.5%
81 2
1.0%
82 1
0.5%
ValueCountFrequency (%)
1025 1
0.5%
877 1
0.5%
825 1
0.5%
729 1
0.5%
678 1
0.5%
670 1
0.5%
660 1
0.5%
614 1
0.5%
559 1
0.5%
537 1
0.5%

39.1
Real number (ℝ)

Distinct91
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.39196
Minimum9
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:29.692156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile15
Q123
median39
Q364
95-th percentile171.5
Maximum377
Range368
Interquartile range (IQR)41

Descriptive statistics

Standard deviation51.764884
Coefficient of variation (CV)0.91794794
Kurtosis8.6298441
Mean56.39196
Median Absolute Deviation (MAD)19
Skewness2.4960376
Sum11222
Variance2679.6032
MonotonicityNot monotonic
2023-12-10T15:24:29.970447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 10
 
5.0%
28 8
 
4.0%
19 7
 
3.5%
18 6
 
3.0%
38 5
 
2.5%
48 5
 
2.5%
21 4
 
2.0%
58 4
 
2.0%
25 4
 
2.0%
69 4
 
2.0%
Other values (81) 142
71.4%
ValueCountFrequency (%)
9 1
 
0.5%
11 1
 
0.5%
12 3
1.5%
13 3
1.5%
14 1
 
0.5%
15 2
 
1.0%
16 4
2.0%
17 4
2.0%
18 6
3.0%
19 7
3.5%
ValueCountFrequency (%)
377 1
0.5%
260 1
0.5%
211 1
0.5%
202 1
0.5%
197 1
0.5%
193 1
0.5%
185 1
0.5%
183 1
0.5%
178 1
0.5%
176 1
0.5%

6.11
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3969849
Minimum2
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:30.224706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q311
95-th percentile26.1
Maximum64
Range62
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.9339999
Coefficient of variation (CV)0.95073047
Kurtosis8.5437832
Mean9.3969849
Median Absolute Deviation (MAD)3
Skewness2.4961105
Sum1870
Variance79.816354
MonotonicityNot monotonic
2023-12-10T15:24:30.452967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
3 30
15.1%
4 23
11.6%
6 20
10.1%
5 17
 
8.5%
2 15
 
7.5%
9 12
 
6.0%
8 11
 
5.5%
7 11
 
5.5%
10 7
 
3.5%
11 6
 
3.0%
Other values (23) 47
23.6%
ValueCountFrequency (%)
2 15
7.5%
3 30
15.1%
4 23
11.6%
5 17
8.5%
6 20
10.1%
7 11
 
5.5%
8 11
 
5.5%
9 12
 
6.0%
10 7
 
3.5%
11 6
 
3.0%
ValueCountFrequency (%)
64 1
0.5%
44 1
0.5%
38 1
0.5%
37 1
0.5%
36 2
1.0%
34 2
1.0%
29 1
0.5%
27 1
0.5%
26 1
0.5%
25 1
0.5%

6.12
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8592965
Minimum2
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:30.640893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median7
Q312
95-th percentile28
Maximum73
Range71
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2752686
Coefficient of variation (CV)0.94076374
Kurtosis12.011608
Mean9.8592965
Median Absolute Deviation (MAD)3
Skewness2.7970689
Sum1962
Variance86.030608
MonotonicityNot monotonic
2023-12-10T15:24:30.868326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 28
14.1%
5 23
11.6%
4 22
11.1%
7 15
 
7.5%
9 13
 
6.5%
6 13
 
6.5%
2 10
 
5.0%
8 9
 
4.5%
10 9
 
4.5%
12 6
 
3.0%
Other values (22) 51
25.6%
ValueCountFrequency (%)
2 10
 
5.0%
3 28
14.1%
4 22
11.1%
5 23
11.6%
6 13
6.5%
7 15
7.5%
8 9
 
4.5%
9 13
6.5%
10 9
 
4.5%
11 4
 
2.0%
ValueCountFrequency (%)
73 1
 
0.5%
45 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
34 1
 
0.5%
32 2
1.0%
30 1
 
0.5%
29 1
 
0.5%
28 3
1.5%
26 2
1.0%

7.13
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.226131
Minimum2
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:31.125369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile29.1
Maximum79
Range77
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.887122
Coefficient of variation (CV)0.96980178
Kurtosis12.774449
Mean11.226131
Median Absolute Deviation (MAD)4
Skewness3.0329152
Sum2234
Variance118.52941
MonotonicityNot monotonic
2023-12-10T15:24:31.368265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 23
 
11.6%
3 21
 
10.6%
5 18
 
9.0%
6 17
 
8.5%
7 15
 
7.5%
11 12
 
6.0%
8 10
 
5.0%
10 9
 
4.5%
16 8
 
4.0%
9 8
 
4.0%
Other values (25) 58
29.1%
ValueCountFrequency (%)
2 5
 
2.5%
3 21
10.6%
4 23
11.6%
5 18
9.0%
6 17
8.5%
7 15
7.5%
8 10
5.0%
9 8
 
4.0%
10 9
 
4.5%
11 12
6.0%
ValueCountFrequency (%)
79 1
0.5%
71 1
0.5%
54 1
0.5%
46 1
0.5%
44 2
1.0%
37 1
0.5%
31 1
0.5%
30 2
1.0%
29 1
0.5%
28 2
1.0%

8.12
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1959799
Minimum2
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:31.596848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q310
95-th percentile21
Maximum42
Range40
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.210677
Coefficient of variation (CV)0.75777114
Kurtosis8.5487304
Mean8.1959799
Median Absolute Deviation (MAD)3
Skewness2.4410538
Sum1631
Variance38.572509
MonotonicityNot monotonic
2023-12-10T15:24:31.841404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 28
14.1%
4 22
11.1%
8 21
10.6%
6 20
10.1%
7 17
8.5%
5 15
7.5%
10 14
7.0%
2 11
 
5.5%
13 9
 
4.5%
12 8
 
4.0%
Other values (16) 34
17.1%
ValueCountFrequency (%)
2 11
 
5.5%
3 28
14.1%
4 22
11.1%
5 15
7.5%
6 20
10.1%
7 17
8.5%
8 21
10.6%
9 5
 
2.5%
10 14
7.0%
11 7
 
3.5%
ValueCountFrequency (%)
42 1
 
0.5%
41 1
 
0.5%
31 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
24 1
 
0.5%
23 2
1.0%
22 1
 
0.5%
21 3
1.5%
19 1
 
0.5%

11.13
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9095477
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:32.048769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q310.5
95-th percentile16
Maximum32
Range31
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.66795
Coefficient of variation (CV)0.59016648
Kurtosis3.3782023
Mean7.9095477
Median Absolute Deviation (MAD)3
Skewness1.3699686
Sum1574
Variance21.789757
MonotonicityNot monotonic
2023-12-10T15:24:32.278372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 28
14.1%
7 20
10.1%
4 19
9.5%
3 17
8.5%
8 15
 
7.5%
9 13
 
6.5%
6 13
 
6.5%
11 12
 
6.0%
10 12
 
6.0%
12 11
 
5.5%
Other values (13) 39
19.6%
ValueCountFrequency (%)
1 4
 
2.0%
2 8
 
4.0%
3 17
8.5%
4 19
9.5%
5 28
14.1%
6 13
6.5%
7 20
10.1%
8 15
7.5%
9 13
6.5%
10 12
6.0%
ValueCountFrequency (%)
32 1
 
0.5%
23 1
 
0.5%
21 2
 
1.0%
20 1
 
0.5%
19 1
 
0.5%
18 1
 
0.5%
17 2
 
1.0%
16 4
2.0%
15 4
2.0%
14 6
3.0%

6.13
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.492462
Minimum2
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:32.514776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median8
Q313.5
95-th percentile63.5
Maximum121
Range119
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation19.169333
Coefficient of variation (CV)1.3227106
Kurtosis8.0630266
Mean14.492462
Median Absolute Deviation (MAD)4
Skewness2.7273258
Sum2884
Variance367.46333
MonotonicityNot monotonic
2023-12-10T15:24:32.761051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3 26
13.1%
4 21
 
10.6%
5 20
 
10.1%
6 15
 
7.5%
8 14
 
7.0%
12 11
 
5.5%
9 10
 
5.0%
2 10
 
5.0%
11 8
 
4.0%
14 6
 
3.0%
Other values (32) 58
29.1%
ValueCountFrequency (%)
2 10
 
5.0%
3 26
13.1%
4 21
10.6%
5 20
10.1%
6 15
7.5%
7 5
 
2.5%
8 14
7.0%
9 10
 
5.0%
10 6
 
3.0%
11 8
 
4.0%
ValueCountFrequency (%)
121 1
 
0.5%
92 1
 
0.5%
88 1
 
0.5%
76 1
 
0.5%
72 1
 
0.5%
71 1
 
0.5%
70 3
1.5%
68 1
 
0.5%
63 1
 
0.5%
60 1
 
0.5%

5.6
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.532663
Minimum2
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:33.011230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q313
95-th percentile38.1
Maximum90
Range88
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.724655
Coefficient of variation (CV)1.1033579
Kurtosis10.372152
Mean11.532663
Median Absolute Deviation (MAD)4
Skewness2.8448304
Sum2295
Variance161.91686
MonotonicityNot monotonic
2023-12-10T15:24:33.233669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 25
12.6%
4 22
 
11.1%
3 19
 
9.5%
2 16
 
8.0%
6 14
 
7.0%
7 10
 
5.0%
9 9
 
4.5%
12 9
 
4.5%
10 9
 
4.5%
8 6
 
3.0%
Other values (29) 60
30.2%
ValueCountFrequency (%)
2 16
8.0%
3 19
9.5%
4 22
11.1%
5 25
12.6%
6 14
7.0%
7 10
 
5.0%
8 6
 
3.0%
9 9
 
4.5%
10 9
 
4.5%
11 6
 
3.0%
ValueCountFrequency (%)
90 1
0.5%
65 1
0.5%
64 1
0.5%
53 2
1.0%
51 1
0.5%
43 1
0.5%
40 2
1.0%
39 1
0.5%
38 1
0.5%
36 2
1.0%

7.14
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.180905
Minimum2
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:33.438379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile38.1
Maximum94
Range92
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.239344
Coefficient of variation (CV)1.0868934
Kurtosis13.084441
Mean12.180905
Median Absolute Deviation (MAD)4
Skewness3.1590106
Sum2424
Variance175.28024
MonotonicityNot monotonic
2023-12-10T15:24:33.640240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 23
 
11.6%
3 22
 
11.1%
4 17
 
8.5%
6 16
 
8.0%
7 12
 
6.0%
8 10
 
5.0%
9 10
 
5.0%
13 9
 
4.5%
11 8
 
4.0%
15 7
 
3.5%
Other values (27) 65
32.7%
ValueCountFrequency (%)
2 7
 
3.5%
3 22
11.1%
4 17
8.5%
5 23
11.6%
6 16
8.0%
7 12
6.0%
8 10
5.0%
9 10
5.0%
10 6
 
3.0%
11 8
 
4.0%
ValueCountFrequency (%)
94 1
0.5%
85 1
0.5%
69 1
0.5%
52 1
0.5%
51 1
0.5%
48 1
0.5%
45 1
0.5%
40 2
1.0%
39 1
0.5%
38 1
0.5%

8.13
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0552764
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:33.821038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median7
Q311
95-th percentile23.1
Maximum57
Range56
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.8516523
Coefficient of variation (CV)0.86708036
Kurtosis13.241457
Mean9.0552764
Median Absolute Deviation (MAD)3
Skewness3.0887823
Sum1802
Variance61.648444
MonotonicityNot monotonic
2023-12-10T15:24:34.011088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 26
13.1%
4 21
10.6%
5 19
9.5%
6 19
9.5%
8 19
9.5%
7 18
9.0%
9 12
 
6.0%
12 10
 
5.0%
11 9
 
4.5%
14 6
 
3.0%
Other values (21) 40
20.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 5
 
2.5%
3 26
13.1%
4 21
10.6%
5 19
9.5%
6 19
9.5%
7 18
9.0%
8 19
9.5%
9 12
6.0%
10 5
 
2.5%
ValueCountFrequency (%)
57 1
0.5%
55 1
0.5%
37 1
0.5%
34 1
0.5%
32 1
0.5%
31 1
0.5%
29 1
0.5%
27 1
0.5%
25 1
0.5%
24 1
0.5%

144.1
Real number (ℝ)

Distinct148
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.28141
Minimum31
Maximum881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:34.251372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile58.6
Q191
median150
Q3236.5
95-th percentile563.1
Maximum881
Range850
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation154.34446
Coefficient of variation (CV)0.77450509
Kurtosis4.1359433
Mean199.28141
Median Absolute Deviation (MAD)69
Skewness1.920176
Sum39657
Variance23822.213
MonotonicityNot monotonic
2023-12-10T15:24:34.881232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 4
 
2.0%
102 3
 
1.5%
215 3
 
1.5%
219 3
 
1.5%
129 3
 
1.5%
61 3
 
1.5%
91 3
 
1.5%
138 3
 
1.5%
99 3
 
1.5%
115 3
 
1.5%
Other values (138) 168
84.4%
ValueCountFrequency (%)
31 1
0.5%
41 1
0.5%
42 2
1.0%
46 1
0.5%
47 1
0.5%
48 1
0.5%
53 1
0.5%
54 1
0.5%
55 1
0.5%
59 1
0.5%
ValueCountFrequency (%)
881 1
0.5%
803 1
0.5%
793 1
0.5%
701 1
0.5%
632 1
0.5%
631 1
0.5%
619 1
0.5%
595 1
0.5%
585 1
0.5%
573 1
0.5%

13.13
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.321608
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:35.086144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q313
95-th percentile19.2
Maximum39
Range38
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8497246
Coefficient of variation (CV)0.62754458
Kurtosis3.3283394
Mean9.321608
Median Absolute Deviation (MAD)3
Skewness1.4185011
Sum1855
Variance34.219278
MonotonicityNot monotonic
2023-12-10T15:24:35.295131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 23
 
11.6%
6 22
 
11.1%
9 16
 
8.0%
4 15
 
7.5%
13 12
 
6.0%
8 12
 
6.0%
11 11
 
5.5%
7 11
 
5.5%
3 10
 
5.0%
10 9
 
4.5%
Other values (16) 58
29.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 6
 
3.0%
3 10
5.0%
4 15
7.5%
5 23
11.6%
6 22
11.1%
7 11
5.5%
8 12
6.0%
9 16
8.0%
10 9
 
4.5%
ValueCountFrequency (%)
39 1
 
0.5%
27 2
1.0%
26 1
 
0.5%
25 1
 
0.5%
24 2
1.0%
23 1
 
0.5%
21 2
1.0%
19 3
1.5%
18 3
1.5%
17 2
1.0%

48
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.326633
Minimum12
Maximum515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:35.531991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19
Q132.5
median54
Q3128
95-th percentile309.5
Maximum515
Range503
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation98.217029
Coefficient of variation (CV)1.0196248
Kurtosis3.4370481
Mean96.326633
Median Absolute Deviation (MAD)29
Skewness1.8874769
Sum19169
Variance9646.5847
MonotonicityNot monotonic
2023-12-10T15:24:35.757590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 6
 
3.0%
44 6
 
3.0%
21 5
 
2.5%
54 4
 
2.0%
22 4
 
2.0%
64 4
 
2.0%
33 4
 
2.0%
37 4
 
2.0%
43 4
 
2.0%
67 4
 
2.0%
Other values (108) 154
77.4%
ValueCountFrequency (%)
12 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
16 2
 
1.0%
17 1
 
0.5%
18 1
 
0.5%
19 3
1.5%
20 3
1.5%
21 5
2.5%
22 4
2.0%
ValueCountFrequency (%)
515 1
0.5%
485 1
0.5%
419 1
0.5%
416 1
0.5%
377 1
0.5%
363 1
0.5%
359 1
0.5%
344 1
0.5%
337 1
0.5%
332 1
0.5%

49
Real number (ℝ)

Distinct121
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.82412
Minimum14
Maximum715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:35.951169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile19.9
Q134
median62
Q3161
95-th percentile406.4
Maximum715
Range701
Interquartile range (IQR)127

Descriptive statistics

Standard deviation134.36493
Coefficient of variation (CV)1.1120704
Kurtosis3.7246208
Mean120.82412
Median Absolute Deviation (MAD)36
Skewness1.9224475
Sum24044
Variance18053.934
MonotonicityNot monotonic
2023-12-10T15:24:36.183756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 7
 
3.5%
22 5
 
2.5%
47 5
 
2.5%
28 4
 
2.0%
19 4
 
2.0%
35 4
 
2.0%
23 4
 
2.0%
71 3
 
1.5%
55 3
 
1.5%
34 3
 
1.5%
Other values (111) 157
78.9%
ValueCountFrequency (%)
14 2
 
1.0%
15 1
 
0.5%
16 2
 
1.0%
17 1
 
0.5%
19 4
2.0%
20 2
 
1.0%
21 1
 
0.5%
22 5
2.5%
23 4
2.0%
24 7
3.5%
ValueCountFrequency (%)
715 1
0.5%
677 1
0.5%
638 1
0.5%
468 1
0.5%
450 1
0.5%
440 1
0.5%
434 1
0.5%
430 1
0.5%
419 2
1.0%
405 1
0.5%

8.14
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.758794
Minimum2
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:36.413346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q328.5
95-th percentile75.4
Maximum134
Range132
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation26.057282
Coefficient of variation (CV)1.1975517
Kurtosis3.4378877
Mean21.758794
Median Absolute Deviation (MAD)5
Skewness1.9200648
Sum4330
Variance678.98193
MonotonicityNot monotonic
2023-12-10T15:24:36.711959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
6 14
 
7.0%
5 13
 
6.5%
3 13
 
6.5%
7 12
 
6.0%
9 11
 
5.5%
8 11
 
5.5%
12 9
 
4.5%
10 8
 
4.0%
11 7
 
3.5%
Other values (49) 83
41.7%
ValueCountFrequency (%)
2 5
 
2.5%
3 13
6.5%
4 18
9.0%
5 13
6.5%
6 14
7.0%
7 12
6.0%
8 11
5.5%
9 11
5.5%
10 8
4.0%
11 7
 
3.5%
ValueCountFrequency (%)
134 1
0.5%
127 1
0.5%
114 1
0.5%
99 1
0.5%
94 1
0.5%
88 1
0.5%
87 1
0.5%
83 1
0.5%
79 2
1.0%
75 2
1.0%

7.15
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.190955
Minimum2
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:36.949262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q327
95-th percentile75.3
Maximum129
Range127
Interquartile range (IQR)21

Descriptive statistics

Standard deviation24.479299
Coefficient of variation (CV)1.1551768
Kurtosis3.9215093
Mean21.190955
Median Absolute Deviation (MAD)6
Skewness2.0011872
Sum4217
Variance599.23608
MonotonicityNot monotonic
2023-12-10T15:24:37.204805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 16
 
8.0%
5 14
 
7.0%
4 14
 
7.0%
3 13
 
6.5%
6 12
 
6.0%
9 11
 
5.5%
12 10
 
5.0%
11 9
 
4.5%
8 9
 
4.5%
14 7
 
3.5%
Other values (53) 84
42.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 13
6.5%
4 14
7.0%
5 14
7.0%
6 12
6.0%
7 16
8.0%
8 9
4.5%
9 11
5.5%
10 5
 
2.5%
11 9
4.5%
ValueCountFrequency (%)
129 1
0.5%
121 1
0.5%
106 1
0.5%
96 1
0.5%
91 1
0.5%
90 1
0.5%
87 1
0.5%
85 1
0.5%
82 1
0.5%
78 1
0.5%

9.5
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.884422
Minimum2
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:37.436284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median12
Q331
95-th percentile83.6
Maximum142
Range140
Interquartile range (IQR)25

Descriptive statistics

Standard deviation28.121341
Coefficient of variation (CV)1.1773926
Kurtosis4.9913595
Mean23.884422
Median Absolute Deviation (MAD)7
Skewness2.1890041
Sum4753
Variance790.80981
MonotonicityNot monotonic
2023-12-10T15:24:37.638736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
5 14
 
7.0%
8 13
 
6.5%
6 12
 
6.0%
7 11
 
5.5%
9 9
 
4.5%
13 9
 
4.5%
10 7
 
3.5%
12 7
 
3.5%
3 6
 
3.0%
Other values (51) 94
47.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 6
 
3.0%
4 17
8.5%
5 14
7.0%
6 12
6.0%
7 11
5.5%
8 13
6.5%
9 9
4.5%
10 7
3.5%
11 5
 
2.5%
ValueCountFrequency (%)
142 1
0.5%
139 1
0.5%
131 2
1.0%
129 1
0.5%
102 1
0.5%
101 1
0.5%
96 1
0.5%
90 1
0.5%
89 1
0.5%
83 1
0.5%

10.10
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.346734
Minimum2
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:37.861382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16
median10
Q321
95-th percentile55.1
Maximum78
Range76
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.115598
Coefficient of variation (CV)0.98586044
Kurtosis4.0736184
Mean16.346734
Median Absolute Deviation (MAD)5
Skewness2.0402356
Sum3253
Variance259.7125
MonotonicityNot monotonic
2023-12-10T15:24:38.090624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4 23
 
11.6%
9 16
 
8.0%
6 12
 
6.0%
10 12
 
6.0%
5 12
 
6.0%
7 11
 
5.5%
8 10
 
5.0%
3 9
 
4.5%
12 7
 
3.5%
11 6
 
3.0%
Other values (36) 81
40.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 9
 
4.5%
4 23
11.6%
5 12
6.0%
6 12
6.0%
7 11
5.5%
8 10
5.0%
9 16
8.0%
10 12
6.0%
11 6
 
3.0%
ValueCountFrequency (%)
78 1
 
0.5%
74 3
1.5%
70 2
1.0%
69 1
 
0.5%
66 1
 
0.5%
56 2
1.0%
55 1
 
0.5%
53 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%

14.3
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.954774
Minimum2
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:38.303109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q316
95-th percentile28
Maximum49
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.3438095
Coefficient of variation (CV)0.64407218
Kurtosis3.3732539
Mean12.954774
Median Absolute Deviation (MAD)5
Skewness1.6360194
Sum2578
Variance69.619156
MonotonicityNot monotonic
2023-12-10T15:24:38.508727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 18
 
9.0%
5 15
 
7.5%
10 14
 
7.0%
13 13
 
6.5%
11 12
 
6.0%
7 12
 
6.0%
8 11
 
5.5%
9 10
 
5.0%
15 10
 
5.0%
4 9
 
4.5%
Other values (24) 75
37.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 9
4.5%
5 15
7.5%
6 18
9.0%
7 12
6.0%
8 11
5.5%
9 10
5.0%
10 14
7.0%
11 12
6.0%
ValueCountFrequency (%)
49 1
 
0.5%
46 1
 
0.5%
41 1
 
0.5%
39 2
1.0%
37 1
 
0.5%
36 1
 
0.5%
33 1
 
0.5%
30 1
 
0.5%
28 4
2.0%
27 1
 
0.5%

7.16
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.005025
Minimum2
Maximum277
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:38.757048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q343
95-th percentile155.4
Maximum277
Range275
Interquartile range (IQR)37

Descriptive statistics

Standard deviation53.89182
Coefficient of variation (CV)1.4563379
Kurtosis4.4805364
Mean37.005025
Median Absolute Deviation (MAD)8
Skewness2.1670898
Sum7364
Variance2904.3283
MonotonicityNot monotonic
2023-12-10T15:24:38.994656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 16
 
8.0%
4 15
 
7.5%
3 15
 
7.5%
6 13
 
6.5%
5 12
 
6.0%
10 11
 
5.5%
14 7
 
3.5%
12 7
 
3.5%
11 5
 
2.5%
17 4
 
2.0%
Other values (58) 94
47.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 15
7.5%
4 15
7.5%
5 12
6.0%
6 13
6.5%
7 16
8.0%
8 3
 
1.5%
9 4
 
2.0%
10 11
5.5%
11 5
 
2.5%
ValueCountFrequency (%)
277 1
0.5%
261 1
0.5%
212 2
1.0%
204 1
0.5%
199 1
0.5%
192 1
0.5%
180 1
0.5%
174 1
0.5%
168 1
0.5%
154 2
1.0%

7.17
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.532663
Minimum2
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:39.236567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q330
95-th percentile97.2
Maximum157
Range155
Interquartile range (IQR)24

Descriptive statistics

Standard deviation30.430376
Coefficient of variation (CV)1.2404025
Kurtosis4.5484779
Mean24.532663
Median Absolute Deviation (MAD)8
Skewness2.1466366
Sum4882
Variance926.00777
MonotonicityNot monotonic
2023-12-10T15:24:39.482680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
5 16
 
8.0%
6 16
 
8.0%
8 11
 
5.5%
3 11
 
5.5%
12 7
 
3.5%
7 7
 
3.5%
18 6
 
3.0%
11 6
 
3.0%
13 5
 
2.5%
Other values (55) 97
48.7%
ValueCountFrequency (%)
2 5
 
2.5%
3 11
5.5%
4 17
8.5%
5 16
8.0%
6 16
8.0%
7 7
3.5%
8 11
5.5%
9 3
 
1.5%
10 4
 
2.0%
11 6
 
3.0%
ValueCountFrequency (%)
157 1
0.5%
148 1
0.5%
137 1
0.5%
124 1
0.5%
116 2
1.0%
112 1
0.5%
109 1
0.5%
107 1
0.5%
99 1
0.5%
97 1
0.5%

171
Real number (ℝ)

Distinct134
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.01508
Minimum28
Maximum538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:40.151057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile43.9
Q184.5
median126
Q3193.5
95-th percentile285
Maximum538
Range510
Interquartile range (IQR)109

Descriptive statistics

Standard deviation81.500603
Coefficient of variation (CV)0.55816567
Kurtosis2.4875062
Mean146.01508
Median Absolute Deviation (MAD)49
Skewness1.2192076
Sum29057
Variance6642.3483
MonotonicityNot monotonic
2023-12-10T15:24:40.459770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 4
 
2.0%
225 4
 
2.0%
157 4
 
2.0%
120 3
 
1.5%
117 3
 
1.5%
285 3
 
1.5%
159 3
 
1.5%
105 3
 
1.5%
184 3
 
1.5%
202 3
 
1.5%
Other values (124) 166
83.4%
ValueCountFrequency (%)
28 1
0.5%
33 1
0.5%
35 1
0.5%
37 1
0.5%
38 1
0.5%
39 1
0.5%
40 1
0.5%
41 1
0.5%
42 1
0.5%
43 1
0.5%
ValueCountFrequency (%)
538 1
 
0.5%
437 1
 
0.5%
390 1
 
0.5%
335 1
 
0.5%
328 1
 
0.5%
324 1
 
0.5%
317 1
 
0.5%
297 1
 
0.5%
285 3
1.5%
283 1
 
0.5%

9.6
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.773869
Minimum2
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:40.714918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median13
Q335.5
95-th percentile89.5
Maximum208
Range206
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation31.614696
Coefficient of variation (CV)1.2266182
Kurtosis8.1300872
Mean25.773869
Median Absolute Deviation (MAD)8
Skewness2.5339974
Sum5129
Variance999.48901
MonotonicityNot monotonic
2023-12-10T15:24:40.966766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
4 16
 
8.0%
8 15
 
7.5%
5 10
 
5.0%
3 10
 
5.0%
7 8
 
4.0%
11 7
 
3.5%
10 6
 
3.0%
13 6
 
3.0%
18 5
 
2.5%
Other values (58) 100
50.3%
ValueCountFrequency (%)
2 3
 
1.5%
3 10
5.0%
4 16
8.0%
5 10
5.0%
6 16
8.0%
7 8
4.0%
8 15
7.5%
9 3
 
1.5%
10 6
 
3.0%
11 7
3.5%
ValueCountFrequency (%)
208 1
0.5%
167 1
0.5%
127 1
0.5%
125 1
0.5%
120 1
0.5%
119 1
0.5%
117 1
0.5%
113 1
0.5%
105 1
0.5%
103 1
0.5%

10.11
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.371859
Minimum2
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:41.214811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q325
95-th percentile55.5
Maximum107
Range105
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.041486
Coefficient of variation (CV)1.0364485
Kurtosis5.9896497
Mean18.371859
Median Absolute Deviation (MAD)5
Skewness2.2700653
Sum3656
Variance362.57819
MonotonicityNot monotonic
2023-12-10T15:24:41.469302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
5 14
 
7.0%
9 14
 
7.0%
8 12
 
6.0%
7 12
 
6.0%
6 11
 
5.5%
10 11
 
5.5%
11 10
 
5.0%
3 8
 
4.0%
14 6
 
3.0%
Other values (45) 84
42.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 8
4.0%
4 17
8.5%
5 14
7.0%
6 11
5.5%
7 12
6.0%
8 12
6.0%
9 14
7.0%
10 11
5.5%
11 10
5.0%
ValueCountFrequency (%)
107 1
0.5%
106 1
0.5%
97 1
0.5%
79 1
0.5%
78 1
0.5%
73 1
0.5%
71 1
0.5%
68 1
0.5%
65 1
0.5%
60 1
0.5%

16.3
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.376884
Minimum2
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:41.695564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q319
95-th percentile35.1
Maximum68
Range66
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.439033
Coefficient of variation (CV)0.67887827
Kurtosis5.6951489
Mean15.376884
Median Absolute Deviation (MAD)5
Skewness2.0226101
Sum3060
Variance108.9734
MonotonicityNot monotonic
2023-12-10T15:24:41.944923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 15
 
7.5%
16 13
 
6.5%
8 12
 
6.0%
9 11
 
5.5%
5 11
 
5.5%
11 10
 
5.0%
17 10
 
5.0%
12 10
 
5.0%
6 9
 
4.5%
13 9
 
4.5%
Other values (30) 89
44.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 4
 
2.0%
5 11
5.5%
6 9
4.5%
7 15
7.5%
8 12
6.0%
9 11
5.5%
10 7
3.5%
11 10
5.0%
ValueCountFrequency (%)
68 1
0.5%
61 1
0.5%
51 1
0.5%
49 2
1.0%
48 1
0.5%
43 1
0.5%
40 1
0.5%
38 1
0.5%
36 1
0.5%
35 1
0.5%

132
Real number (ℝ)

Distinct130
Distinct (%)65.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.59799
Minimum0
Maximum507
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:42.193053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41
Q166
median109
Q3156
95-th percentile244.2
Maximum507
Range507
Interquartile range (IQR)90

Descriptive statistics

Standard deviation70.756441
Coefficient of variation (CV)0.58188824
Kurtosis5.0464351
Mean121.59799
Median Absolute Deviation (MAD)45
Skewness1.6815502
Sum24198
Variance5006.4739
MonotonicityNot monotonic
2023-12-10T15:24:42.420029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 4
 
2.0%
60 4
 
2.0%
61 4
 
2.0%
57 4
 
2.0%
86 4
 
2.0%
135 4
 
2.0%
93 3
 
1.5%
156 3
 
1.5%
58 3
 
1.5%
122 3
 
1.5%
Other values (120) 163
81.9%
ValueCountFrequency (%)
0 1
0.5%
28 1
0.5%
29 1
0.5%
34 1
0.5%
35 1
0.5%
38 2
1.0%
39 1
0.5%
40 1
0.5%
41 2
1.0%
42 1
0.5%
ValueCountFrequency (%)
507 1
0.5%
383 1
0.5%
360 1
0.5%
327 1
0.5%
323 1
0.5%
301 1
0.5%
275 1
0.5%
253 1
0.5%
251 1
0.5%
246 1
0.5%

133
Real number (ℝ)

Distinct143
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.70854
Minimum0
Maximum696
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:42.675713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.7
Q175.5
median122
Q3191.5
95-th percentile305.4
Maximum696
Range696
Interquartile range (IQR)116

Descriptive statistics

Standard deviation96.763512
Coefficient of variation (CV)0.66408949
Kurtosis6.6441137
Mean145.70854
Median Absolute Deviation (MAD)54
Skewness1.990102
Sum28996
Variance9363.1772
MonotonicityNot monotonic
2023-12-10T15:24:42.925316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68 4
 
2.0%
63 4
 
2.0%
128 3
 
1.5%
77 3
 
1.5%
67 3
 
1.5%
93 3
 
1.5%
61 3
 
1.5%
40 3
 
1.5%
83 3
 
1.5%
198 3
 
1.5%
Other values (133) 167
83.9%
ValueCountFrequency (%)
0 1
 
0.5%
27 1
 
0.5%
32 1
 
0.5%
38 1
 
0.5%
39 1
 
0.5%
40 3
1.5%
43 1
 
0.5%
44 1
 
0.5%
47 1
 
0.5%
49 1
 
0.5%
ValueCountFrequency (%)
696 1
0.5%
571 1
0.5%
468 1
0.5%
452 1
0.5%
380 1
0.5%
352 1
0.5%
345 1
0.5%
329 1
0.5%
321 1
0.5%
318 1
0.5%

21.4
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24
Minimum0
Maximum132
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:43.186348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median19
Q333
95-th percentile57
Maximum132
Range132
Interquartile range (IQR)21

Descriptive statistics

Standard deviation16.773596
Coefficient of variation (CV)0.69889985
Kurtosis8.6800205
Mean24
Median Absolute Deviation (MAD)8
Skewness2.1801746
Sum4776
Variance281.35354
MonotonicityNot monotonic
2023-12-10T15:24:43.452152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
11 10
 
5.0%
16 9
 
4.5%
19 9
 
4.5%
14 8
 
4.0%
15 8
 
4.0%
12 8
 
4.0%
9 7
 
3.5%
21 7
 
3.5%
24 7
 
3.5%
Other values (45) 112
56.3%
ValueCountFrequency (%)
0 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 6
3.0%
8 6
3.0%
9 7
3.5%
10 14
7.0%
11 10
5.0%
12 8
4.0%
13 7
3.5%
ValueCountFrequency (%)
132 1
 
0.5%
86 1
 
0.5%
68 1
 
0.5%
66 1
 
0.5%
65 1
 
0.5%
64 1
 
0.5%
63 1
 
0.5%
58 1
 
0.5%
57 3
1.5%
56 1
 
0.5%

20
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.175879
Minimum0
Maximum125
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:43.723425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median20
Q331.5
95-th percentile54
Maximum125
Range125
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation16.393033
Coefficient of variation (CV)0.67807391
Kurtosis9.0414309
Mean24.175879
Median Absolute Deviation (MAD)9
Skewness2.3034309
Sum4811
Variance268.73154
MonotonicityNot monotonic
2023-12-10T15:24:44.016814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 10
 
5.0%
14 9
 
4.5%
9 9
 
4.5%
13 8
 
4.0%
23 8
 
4.0%
10 8
 
4.0%
7 7
 
3.5%
20 7
 
3.5%
12 7
 
3.5%
17 7
 
3.5%
Other values (45) 119
59.8%
ValueCountFrequency (%)
0 1
 
0.5%
6 3
 
1.5%
7 7
3.5%
8 4
2.0%
9 9
4.5%
10 8
4.0%
11 5
2.5%
12 7
3.5%
13 8
4.0%
14 9
4.5%
ValueCountFrequency (%)
125 1
0.5%
102 1
0.5%
72 1
0.5%
70 1
0.5%
67 1
0.5%
65 1
0.5%
58 2
1.0%
55 1
0.5%
54 2
1.0%
53 1
0.5%

25.4
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.934673
Minimum0
Maximum135
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:44.294082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q115
median23
Q335
95-th percentile62.2
Maximum135
Range135
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.409743
Coefficient of variation (CV)0.69482621
Kurtosis7.9043581
Mean27.934673
Median Absolute Deviation (MAD)10
Skewness2.2897561
Sum5559
Variance376.73814
MonotonicityNot monotonic
2023-12-10T15:24:44.553861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 10
 
5.0%
13 9
 
4.5%
25 8
 
4.0%
10 8
 
4.0%
18 8
 
4.0%
21 7
 
3.5%
23 7
 
3.5%
33 6
 
3.0%
16 6
 
3.0%
17 6
 
3.0%
Other values (49) 124
62.3%
ValueCountFrequency (%)
0 1
 
0.5%
6 1
 
0.5%
7 4
 
2.0%
8 2
 
1.0%
9 4
 
2.0%
10 8
4.0%
11 10
5.0%
12 6
3.0%
13 9
4.5%
14 4
 
2.0%
ValueCountFrequency (%)
135 1
0.5%
116 1
0.5%
113 1
0.5%
92 1
0.5%
86 1
0.5%
74 1
0.5%
70 1
0.5%
69 1
0.5%
68 1
0.5%
64 1
0.5%

28
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.236181
Minimum0
Maximum78
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:44.778672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q112
median20
Q328
95-th percentile45.1
Maximum78
Range78
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.511667
Coefficient of variation (CV)0.60764334
Kurtosis3.6365754
Mean22.236181
Median Absolute Deviation (MAD)8
Skewness1.6248156
Sum4425
Variance182.56515
MonotonicityNot monotonic
2023-12-10T15:24:45.026680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 12
 
6.0%
12 12
 
6.0%
14 11
 
5.5%
16 9
 
4.5%
17 9
 
4.5%
10 8
 
4.0%
26 8
 
4.0%
21 7
 
3.5%
9 7
 
3.5%
23 6
 
3.0%
Other values (41) 110
55.3%
ValueCountFrequency (%)
0 1
 
0.5%
4 3
 
1.5%
6 1
 
0.5%
7 5
2.5%
8 5
2.5%
9 7
3.5%
10 8
4.0%
11 12
6.0%
12 12
6.0%
13 2
 
1.0%
ValueCountFrequency (%)
78 1
0.5%
77 1
0.5%
72 1
0.5%
71 1
0.5%
65 1
0.5%
58 1
0.5%
57 1
0.5%
55 1
0.5%
46 2
1.0%
45 2
1.0%

38
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.547739
Minimum0
Maximum108
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:45.324094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median18
Q330.5
95-th percentile49
Maximum108
Range108
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation15.188927
Coefficient of variation (CV)0.67363418
Kurtosis4.8153705
Mean22.547739
Median Absolute Deviation (MAD)8
Skewness1.6062765
Sum4487
Variance230.70352
MonotonicityNot monotonic
2023-12-10T15:24:45.955251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 14
 
7.0%
18 10
 
5.0%
12 9
 
4.5%
9 7
 
3.5%
14 7
 
3.5%
21 6
 
3.0%
13 6
 
3.0%
15 6
 
3.0%
8 6
 
3.0%
6 6
 
3.0%
Other values (43) 122
61.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 3
1.5%
5 5
2.5%
6 6
3.0%
7 3
1.5%
8 6
3.0%
9 7
3.5%
10 5
2.5%
ValueCountFrequency (%)
108 1
 
0.5%
73 1
 
0.5%
68 1
 
0.5%
66 1
 
0.5%
57 1
 
0.5%
53 1
 
0.5%
51 1
 
0.5%
50 2
1.0%
49 3
1.5%
48 2
1.0%

78
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.16583
Minimum21
Maximum655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:46.190207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile30
Q144
median78
Q3121
95-th percentile275.3
Maximum655
Range634
Interquartile range (IQR)77

Descriptive statistics

Standard deviation86.672888
Coefficient of variation (CV)0.84013175
Kurtosis8.9501779
Mean103.16583
Median Absolute Deviation (MAD)38
Skewness2.4250086
Sum20530
Variance7512.1895
MonotonicityNot monotonic
2023-12-10T15:24:46.414870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 7
 
3.5%
38 6
 
3.0%
37 5
 
2.5%
92 5
 
2.5%
130 4
 
2.0%
32 4
 
2.0%
55 4
 
2.0%
40 3
 
1.5%
23 3
 
1.5%
39 3
 
1.5%
Other values (104) 155
77.9%
ValueCountFrequency (%)
21 2
1.0%
23 3
1.5%
25 1
 
0.5%
26 1
 
0.5%
27 1
 
0.5%
29 1
 
0.5%
30 3
1.5%
31 1
 
0.5%
32 4
2.0%
34 3
1.5%
ValueCountFrequency (%)
655 1
0.5%
401 1
0.5%
387 1
0.5%
367 1
0.5%
337 1
0.5%
317 1
0.5%
304 1
0.5%
303 1
0.5%
297 1
0.5%
278 1
0.5%

19.6
Real number (ℝ)

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.251256
Minimum0
Maximum183
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:46.662545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q114
median23
Q340.5
95-th percentile85.1
Maximum183
Range183
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation25.928557
Coefficient of variation (CV)0.82968048
Kurtosis6.425827
Mean31.251256
Median Absolute Deviation (MAD)11
Skewness2.1038264
Sum6219
Variance672.29009
MonotonicityNot monotonic
2023-12-10T15:24:46.868502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 10
 
5.0%
9 10
 
5.0%
20 8
 
4.0%
18 8
 
4.0%
14 7
 
3.5%
28 7
 
3.5%
12 7
 
3.5%
11 7
 
3.5%
13 7
 
3.5%
15 6
 
3.0%
Other values (59) 122
61.3%
ValueCountFrequency (%)
0 1
 
0.5%
6 3
 
1.5%
7 4
 
2.0%
8 4
 
2.0%
9 10
5.0%
10 5
2.5%
11 7
3.5%
12 7
3.5%
13 7
3.5%
14 7
3.5%
ValueCountFrequency (%)
183 1
0.5%
122 1
0.5%
116 1
0.5%
98 1
0.5%
97 1
0.5%
95 1
0.5%
92 1
0.5%
88 1
0.5%
87 1
0.5%
86 1
0.5%

18.5
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.879397
Minimum0
Maximum163
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:47.045660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median22
Q335.5
95-th percentile69
Maximum163
Range163
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation22.058589
Coefficient of variation (CV)0.7912147
Kurtosis8.1309715
Mean27.879397
Median Absolute Deviation (MAD)10
Skewness2.2917747
Sum5548
Variance486.58134
MonotonicityNot monotonic
2023-12-10T15:24:47.241874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 12
 
6.0%
17 9
 
4.5%
8 9
 
4.5%
11 9
 
4.5%
30 8
 
4.0%
19 8
 
4.0%
10 8
 
4.0%
14 7
 
3.5%
13 7
 
3.5%
15 7
 
3.5%
Other values (51) 115
57.8%
ValueCountFrequency (%)
0 1
 
0.5%
4 1
 
0.5%
6 5
2.5%
7 4
2.0%
8 9
4.5%
9 2
 
1.0%
10 8
4.0%
11 9
4.5%
12 6
3.0%
13 7
3.5%
ValueCountFrequency (%)
163 1
0.5%
106 1
0.5%
105 1
0.5%
98 2
1.0%
82 1
0.5%
78 2
1.0%
75 1
0.5%
69 2
1.0%
68 1
0.5%
67 1
0.5%

24.3
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.944724
Minimum0
Maximum211
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:47.453646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median23
Q341.5
95-th percentile74.4
Maximum211
Range211
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation29.237826
Coefficient of variation (CV)0.88748129
Kurtosis12.370942
Mean32.944724
Median Absolute Deviation (MAD)11
Skewness2.9652077
Sum6556
Variance854.85046
MonotonicityNot monotonic
2023-12-10T15:24:47.698933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 8
 
4.0%
23 8
 
4.0%
21 8
 
4.0%
30 7
 
3.5%
17 7
 
3.5%
16 7
 
3.5%
12 7
 
3.5%
19 7
 
3.5%
9 6
 
3.0%
11 6
 
3.0%
Other values (61) 128
64.3%
ValueCountFrequency (%)
0 1
 
0.5%
6 4
2.0%
7 2
 
1.0%
8 4
2.0%
9 6
3.0%
10 8
4.0%
11 6
3.0%
12 7
3.5%
13 5
2.5%
14 3
 
1.5%
ValueCountFrequency (%)
211 1
0.5%
181 1
0.5%
167 1
0.5%
155 1
0.5%
109 1
0.5%
103 1
0.5%
97 1
0.5%
88 1
0.5%
85 1
0.5%
78 1
0.5%

27.3
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.236181
Minimum0
Maximum121
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:47.917983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.9
Q114
median22
Q332
95-th percentile55.1
Maximum121
Range121
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.385861
Coefficient of variation (CV)0.70078269
Kurtosis8.3579667
Mean26.236181
Median Absolute Deviation (MAD)9
Skewness2.3907666
Sum5221
Variance338.0399
MonotonicityNot monotonic
2023-12-10T15:24:48.217014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 12
 
6.0%
25 12
 
6.0%
16 10
 
5.0%
29 9
 
4.5%
13 9
 
4.5%
22 8
 
4.0%
12 8
 
4.0%
20 6
 
3.0%
9 6
 
3.0%
19 6
 
3.0%
Other values (43) 113
56.8%
ValueCountFrequency (%)
0 1
 
0.5%
5 3
 
1.5%
6 1
 
0.5%
7 3
 
1.5%
8 2
 
1.0%
9 6
3.0%
10 3
 
1.5%
11 12
6.0%
12 8
4.0%
13 9
4.5%
ValueCountFrequency (%)
121 1
0.5%
119 1
0.5%
111 1
0.5%
89 1
0.5%
76 1
0.5%
73 1
0.5%
72 1
0.5%
62 2
1.0%
56 1
0.5%
55 2
1.0%

45.5
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.015075
Minimum0
Maximum133
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:48.442368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q114
median23
Q337.5
95-th percentile60.2
Maximum133
Range133
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation18.688698
Coefficient of variation (CV)0.66709435
Kurtosis4.6610623
Mean28.015075
Median Absolute Deviation (MAD)10
Skewness1.5322433
Sum5575
Variance349.26745
MonotonicityNot monotonic
2023-12-10T15:24:48.694177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 11
 
5.5%
14 9
 
4.5%
19 9
 
4.5%
30 8
 
4.0%
16 8
 
4.0%
26 8
 
4.0%
11 6
 
3.0%
8 6
 
3.0%
33 5
 
2.5%
13 5
 
2.5%
Other values (53) 124
62.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
4 4
2.0%
5 4
2.0%
6 1
 
0.5%
7 3
1.5%
8 6
3.0%
9 5
2.5%
10 4
2.0%
11 6
3.0%
ValueCountFrequency (%)
133 1
0.5%
84 1
0.5%
82 1
0.5%
81 1
0.5%
80 1
0.5%
66 1
0.5%
64 2
1.0%
63 1
0.5%
62 1
0.5%
60 1
0.5%

77
Real number (ℝ)

Distinct119
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.582915
Minimum19
Maximum459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:48.980948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile29.8
Q146.5
median73
Q3112
95-th percentile223.2
Maximum459
Range440
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation69.669363
Coefficient of variation (CV)0.74446669
Kurtosis6.0485017
Mean93.582915
Median Absolute Deviation (MAD)31
Skewness2.163344
Sum18623
Variance4853.8201
MonotonicityNot monotonic
2023-12-10T15:24:49.283139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 7
 
3.5%
54 7
 
3.5%
34 5
 
2.5%
71 5
 
2.5%
37 4
 
2.0%
49 4
 
2.0%
112 4
 
2.0%
73 4
 
2.0%
43 4
 
2.0%
51 3
 
1.5%
Other values (109) 152
76.4%
ValueCountFrequency (%)
19 1
0.5%
21 1
0.5%
22 2
1.0%
24 2
1.0%
25 1
0.5%
26 1
0.5%
28 2
1.0%
30 1
0.5%
31 2
1.0%
32 2
1.0%
ValueCountFrequency (%)
459 1
0.5%
364 1
0.5%
342 1
0.5%
331 1
0.5%
329 1
0.5%
298 1
0.5%
292 1
0.5%
277 1
0.5%
272 1
0.5%
225 1
0.5%

78.1
Real number (ℝ)

Distinct128
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110.80402
Minimum17
Maximum492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:49.545084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile31.9
Q150
median84
Q3136.5
95-th percentile281.9
Maximum492
Range475
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation91.995316
Coefficient of variation (CV)0.83025251
Kurtosis5.137551
Mean110.80402
Median Absolute Deviation (MAD)37
Skewness2.1379143
Sum22050
Variance8463.1382
MonotonicityNot monotonic
2023-12-10T15:24:49.899565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 5
 
2.5%
65 4
 
2.0%
51 4
 
2.0%
37 4
 
2.0%
40 4
 
2.0%
39 3
 
1.5%
32 3
 
1.5%
89 3
 
1.5%
38 3
 
1.5%
76 3
 
1.5%
Other values (118) 163
81.9%
ValueCountFrequency (%)
17 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
25 1
 
0.5%
26 1
 
0.5%
28 1
 
0.5%
30 1
 
0.5%
31 2
1.0%
32 3
1.5%
ValueCountFrequency (%)
492 1
0.5%
481 1
0.5%
476 1
0.5%
460 1
0.5%
459 1
0.5%
411 1
0.5%
355 1
0.5%
334 1
0.5%
333 1
0.5%
290 1
0.5%

12.10
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.854271
Minimum3
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:50.174890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q324
95-th percentile63.4
Maximum200
Range197
Interquartile range (IQR)16

Descriptive statistics

Standard deviation25.409452
Coefficient of variation (CV)1.1626767
Kurtosis20.495995
Mean21.854271
Median Absolute Deviation (MAD)7
Skewness3.9196091
Sum4349
Variance645.64027
MonotonicityNot monotonic
2023-12-10T15:24:50.822074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 14
 
7.0%
8 13
 
6.5%
9 12
 
6.0%
7 10
 
5.0%
5 10
 
5.0%
12 9
 
4.5%
14 9
 
4.5%
11 8
 
4.0%
23 7
 
3.5%
15 7
 
3.5%
Other values (45) 100
50.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 10
5.0%
6 14
7.0%
7 10
5.0%
8 13
6.5%
9 12
6.0%
10 6
3.0%
11 8
4.0%
12 9
4.5%
ValueCountFrequency (%)
200 1
0.5%
180 1
0.5%
126 1
0.5%
106 1
0.5%
92 1
0.5%
80 1
0.5%
79 1
0.5%
77 1
0.5%
76 1
0.5%
67 1
0.5%

12.11
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.351759
Minimum3
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:51.079657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median14
Q323.5
95-th percentile51.2
Maximum104
Range101
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation15.865498
Coefficient of variation (CV)0.81984785
Kurtosis6.1825984
Mean19.351759
Median Absolute Deviation (MAD)7
Skewness2.1750607
Sum3851
Variance251.71402
MonotonicityNot monotonic
2023-12-10T15:24:51.310444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 12
 
6.0%
6 11
 
5.5%
9 11
 
5.5%
11 10
 
5.0%
8 10
 
5.0%
10 9
 
4.5%
13 9
 
4.5%
17 9
 
4.5%
5 9
 
4.5%
7 9
 
4.5%
Other values (41) 100
50.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 6
3.0%
5 9
4.5%
6 11
5.5%
7 9
4.5%
8 10
5.0%
9 11
5.5%
10 9
4.5%
11 10
5.0%
12 7
3.5%
ValueCountFrequency (%)
104 1
0.5%
87 1
0.5%
74 1
0.5%
67 1
0.5%
66 2
1.0%
63 1
0.5%
60 1
0.5%
57 1
0.5%
53 1
0.5%
51 1
0.5%

14.4
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.673367
Minimum4
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:51.546390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q110
median16
Q326
95-th percentile58.2
Maximum114
Range110
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.58855
Coefficient of variation (CV)0.85766785
Kurtosis6.9245391
Mean21.673367
Median Absolute Deviation (MAD)7
Skewness2.3398524
Sum4313
Variance345.53419
MonotonicityNot monotonic
2023-12-10T15:24:51.792358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
6.5%
10 11
 
5.5%
21 9
 
4.5%
12 9
 
4.5%
8 9
 
4.5%
7 9
 
4.5%
16 8
 
4.0%
13 8
 
4.0%
9 8
 
4.0%
15 8
 
4.0%
Other values (44) 107
53.8%
ValueCountFrequency (%)
4 3
 
1.5%
5 5
 
2.5%
6 13
6.5%
7 9
4.5%
8 9
4.5%
9 8
4.0%
10 11
5.5%
11 7
3.5%
12 9
4.5%
13 8
4.0%
ValueCountFrequency (%)
114 1
0.5%
108 1
0.5%
101 1
0.5%
93 1
0.5%
70 1
0.5%
68 1
0.5%
65 2
1.0%
62 1
0.5%
60 1
0.5%
58 1
0.5%

97
Real number (ℝ)

Distinct148
Distinct (%)74.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.15075
Minimum26
Maximum1192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:52.041504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile39
Q165.5
median114
Q3288
95-th percentile693.5
Maximum1192
Range1166
Interquartile range (IQR)222.5

Descriptive statistics

Standard deviation229.74335
Coefficient of variation (CV)1.0579901
Kurtosis3.3700323
Mean217.15075
Median Absolute Deviation (MAD)65
Skewness1.8522986
Sum43213
Variance52782.007
MonotonicityNot monotonic
2023-12-10T15:24:52.276524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68 4
 
2.0%
43 4
 
2.0%
48 4
 
2.0%
47 4
 
2.0%
64 3
 
1.5%
55 3
 
1.5%
161 3
 
1.5%
98 3
 
1.5%
113 3
 
1.5%
114 3
 
1.5%
Other values (138) 165
82.9%
ValueCountFrequency (%)
26 1
 
0.5%
28 2
1.0%
30 1
 
0.5%
32 1
 
0.5%
33 1
 
0.5%
36 1
 
0.5%
37 1
 
0.5%
38 1
 
0.5%
39 3
1.5%
41 1
 
0.5%
ValueCountFrequency (%)
1192 1
0.5%
1134 1
0.5%
1123 1
0.5%
846 1
0.5%
805 1
0.5%
766 1
0.5%
759 1
0.5%
752 1
0.5%
710 1
0.5%
698 1
0.5%

16.4
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.271357
Minimum3
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:52.528372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median13
Q319
95-th percentile38
Maximum104
Range101
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.615796
Coefficient of variation (CV)0.7753377
Kurtosis14.038417
Mean16.271357
Median Absolute Deviation (MAD)5
Skewness2.9929338
Sum3238
Variance159.15832
MonotonicityNot monotonic
2023-12-10T15:24:52.767498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 19
 
9.5%
12 12
 
6.0%
9 11
 
5.5%
14 11
 
5.5%
10 11
 
5.5%
8 11
 
5.5%
15 10
 
5.0%
5 9
 
4.5%
13 9
 
4.5%
6 8
 
4.0%
Other values (31) 88
44.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 4
 
2.0%
5 9
4.5%
6 8
4.0%
7 19
9.5%
8 11
5.5%
9 11
5.5%
10 11
5.5%
11 6
 
3.0%
12 12
6.0%
ValueCountFrequency (%)
104 1
0.5%
71 1
0.5%
67 1
0.5%
55 1
0.5%
51 1
0.5%
47 1
0.5%
45 1
0.5%
44 1
0.5%
42 1
0.5%
38 2
1.0%

22.3
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.065327
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:52.985287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median11
Q319
95-th percentile29.1
Maximum63
Range62
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.5155775
Coefficient of variation (CV)0.67652731
Kurtosis4.3795276
Mean14.065327
Median Absolute Deviation (MAD)5
Skewness1.6026049
Sum2799
Variance90.546216
MonotonicityNot monotonic
2023-12-10T15:24:53.263181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
7 15
 
7.5%
10 14
 
7.0%
9 13
 
6.5%
11 12
 
6.0%
6 11
 
5.5%
13 10
 
5.0%
5 9
 
4.5%
4 9
 
4.5%
21 8
 
4.0%
16 8
 
4.0%
Other values (28) 90
45.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 4
 
2.0%
3 6
 
3.0%
4 9
4.5%
5 9
4.5%
6 11
5.5%
7 15
7.5%
8 5
 
2.5%
9 13
6.5%
10 14
7.0%
ValueCountFrequency (%)
63 1
 
0.5%
55 1
 
0.5%
43 1
 
0.5%
40 1
 
0.5%
39 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
31 2
1.0%
30 1
 
0.5%
29 4
2.0%

11.14
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.135678
Minimum3
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:53.527266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median17
Q337
95-th percentile119
Maximum229
Range226
Interquartile range (IQR)28

Descriptive statistics

Standard deviation40.305985
Coefficient of variation (CV)1.2542441
Kurtosis8.5649971
Mean32.135678
Median Absolute Deviation (MAD)10
Skewness2.7516275
Sum6395
Variance1624.5724
MonotonicityNot monotonic
2023-12-10T15:24:53.881824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 11
 
5.5%
9 10
 
5.0%
6 10
 
5.0%
11 9
 
4.5%
8 9
 
4.5%
16 9
 
4.5%
7 9
 
4.5%
12 8
 
4.0%
10 8
 
4.0%
20 6
 
3.0%
Other values (60) 110
55.3%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
2.5%
5 11
5.5%
6 10
5.0%
7 9
4.5%
8 9
4.5%
9 10
5.0%
10 8
4.0%
11 9
4.5%
12 8
4.0%
ValueCountFrequency (%)
229 1
0.5%
227 1
0.5%
207 1
0.5%
204 1
0.5%
171 1
0.5%
144 1
0.5%
136 1
0.5%
126 1
0.5%
122 1
0.5%
119 2
1.0%

11.15
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.994975
Minimum3
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:54.122792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median15
Q327.5
95-th percentile55.7
Maximum134
Range131
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation18.6714
Coefficient of variation (CV)0.88932711
Kurtosis7.9086634
Mean20.994975
Median Absolute Deviation (MAD)8
Skewness2.3402587
Sum4178
Variance348.62119
MonotonicityNot monotonic
2023-12-10T15:24:54.401153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 14
 
7.0%
10 14
 
7.0%
9 12
 
6.0%
6 11
 
5.5%
13 10
 
5.0%
11 8
 
4.0%
7 7
 
3.5%
4 7
 
3.5%
5 7
 
3.5%
17 6
 
3.0%
Other values (48) 103
51.8%
ValueCountFrequency (%)
3 2
 
1.0%
4 7
3.5%
5 7
3.5%
6 11
5.5%
7 7
3.5%
8 14
7.0%
9 12
6.0%
10 14
7.0%
11 8
4.0%
12 2
 
1.0%
ValueCountFrequency (%)
134 1
0.5%
87 1
0.5%
85 1
0.5%
79 1
0.5%
74 1
0.5%
73 1
0.5%
70 1
0.5%
69 1
0.5%
68 1
0.5%
62 1
0.5%

14.5
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.949749
Minimum3
Maximum215
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:54.664133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q19
median16
Q329
95-th percentile75.1
Maximum215
Range212
Interquartile range (IQR)20

Descriptive statistics

Standard deviation25.452223
Coefficient of variation (CV)1.0627344
Kurtosis18.874264
Mean23.949749
Median Absolute Deviation (MAD)8
Skewness3.5360675
Sum4766
Variance647.81564
MonotonicityNot monotonic
2023-12-10T15:24:54.972564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 12
 
6.0%
9 12
 
6.0%
12 11
 
5.5%
10 11
 
5.5%
7 9
 
4.5%
8 8
 
4.0%
16 8
 
4.0%
17 7
 
3.5%
13 7
 
3.5%
11 7
 
3.5%
Other values (46) 107
53.8%
ValueCountFrequency (%)
3 1
 
0.5%
4 3
 
1.5%
5 7
3.5%
6 12
6.0%
7 9
4.5%
8 8
4.0%
9 12
6.0%
10 11
5.5%
11 7
3.5%
12 11
5.5%
ValueCountFrequency (%)
215 1
 
0.5%
152 1
 
0.5%
106 1
 
0.5%
90 3
1.5%
81 1
 
0.5%
77 2
1.0%
76 1
 
0.5%
75 1
 
0.5%
65 1
 
0.5%
63 1
 
0.5%

16.5
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.959799
Minimum2
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:55.260709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q19
median13
Q321
95-th percentile44.1
Maximum128
Range126
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.83687
Coefficient of variation (CV)0.88179551
Kurtosis15.574519
Mean17.959799
Median Absolute Deviation (MAD)6
Skewness3.2861624
Sum3574
Variance250.80646
MonotonicityNot monotonic
2023-12-10T15:24:55.550430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
7 17
 
8.5%
8 12
 
6.0%
11 12
 
6.0%
10 11
 
5.5%
12 11
 
5.5%
15 10
 
5.0%
16 9
 
4.5%
17 9
 
4.5%
9 9
 
4.5%
5 9
 
4.5%
Other values (35) 90
45.2%
ValueCountFrequency (%)
2 1
 
0.5%
4 3
 
1.5%
5 9
4.5%
6 7
3.5%
7 17
8.5%
8 12
6.0%
9 9
4.5%
10 11
5.5%
11 12
6.0%
12 11
5.5%
ValueCountFrequency (%)
128 1
0.5%
98 1
0.5%
81 1
0.5%
65 1
0.5%
63 1
0.5%
60 1
0.5%
57 1
0.5%
53 1
0.5%
52 1
0.5%
45 1
0.5%

26.4
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.226131
Minimum1
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:55.788372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q18
median13
Q322
95-th percentile35.1
Maximum78
Range77
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.153843
Coefficient of variation (CV)0.68740002
Kurtosis4.1860882
Mean16.226131
Median Absolute Deviation (MAD)6
Skewness1.4667928
Sum3229
Variance124.4082
MonotonicityNot monotonic
2023-12-10T15:24:56.041975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
11 15
 
7.5%
8 13
 
6.5%
3 10
 
5.0%
15 10
 
5.0%
18 9
 
4.5%
9 9
 
4.5%
5 8
 
4.0%
25 8
 
4.0%
10 8
 
4.0%
21 7
 
3.5%
Other values (33) 102
51.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 10
5.0%
4 7
3.5%
5 8
4.0%
6 5
 
2.5%
7 7
3.5%
8 13
6.5%
9 9
4.5%
10 8
4.0%
ValueCountFrequency (%)
78 1
0.5%
49 1
0.5%
47 2
1.0%
44 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%

77.1
Real number (ℝ)

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.140704
Minimum2
Maximum376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:56.422252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile22
Q136.5
median54
Q382
95-th percentile144.1
Maximum376
Range374
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation46.015591
Coefficient of variation (CV)0.68536058
Kurtosis10.713599
Mean67.140704
Median Absolute Deviation (MAD)20
Skewness2.4050748
Sum13361
Variance2117.4346
MonotonicityNot monotonic
2023-12-10T15:24:56.652519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 5
 
2.5%
34 5
 
2.5%
39 5
 
2.5%
45 5
 
2.5%
53 5
 
2.5%
61 4
 
2.0%
23 4
 
2.0%
56 4
 
2.0%
62 4
 
2.0%
33 4
 
2.0%
Other values (95) 154
77.4%
ValueCountFrequency (%)
2 1
 
0.5%
8 2
1.0%
11 1
 
0.5%
16 1
 
0.5%
20 3
1.5%
21 1
 
0.5%
22 2
1.0%
23 4
2.0%
24 2
1.0%
25 3
1.5%
ValueCountFrequency (%)
376 1
0.5%
262 1
0.5%
192 1
0.5%
181 1
0.5%
161 1
0.5%
157 1
0.5%
152 1
0.5%
150 1
0.5%
146 1
0.5%
145 1
0.5%

77.2
Real number (ℝ)

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.38191
Minimum1
Maximum444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:57.310281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q136.5
median53
Q382.5
95-th percentile151.4
Maximum444
Range443
Interquartile range (IQR)46

Descriptive statistics

Standard deviation52.608569
Coefficient of variation (CV)0.76933459
Kurtosis14.265566
Mean68.38191
Median Absolute Deviation (MAD)21
Skewness2.8605491
Sum13608
Variance2767.6615
MonotonicityNot monotonic
2023-12-10T15:24:57.544316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53 6
 
3.0%
37 6
 
3.0%
43 6
 
3.0%
35 5
 
2.5%
40 5
 
2.5%
33 4
 
2.0%
54 4
 
2.0%
23 4
 
2.0%
59 4
 
2.0%
47 4
 
2.0%
Other values (95) 151
75.9%
ValueCountFrequency (%)
1 1
0.5%
5 1
0.5%
7 1
0.5%
9 1
0.5%
12 1
0.5%
15 1
0.5%
17 1
0.5%
18 2
1.0%
19 2
1.0%
20 1
0.5%
ValueCountFrequency (%)
444 1
0.5%
302 1
0.5%
230 1
0.5%
206 1
0.5%
204 1
0.5%
181 1
0.5%
169 1
0.5%
168 1
0.5%
162 1
0.5%
155 1
0.5%

12.12
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.080402
Minimum0
Maximum68
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:57.756974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q318
95-th percentile36.3
Maximum68
Range68
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.204868
Coefficient of variation (CV)0.79577754
Kurtosis4.2333683
Mean14.080402
Median Absolute Deviation (MAD)4
Skewness1.8789994
Sum2802
Variance125.54906
MonotonicityNot monotonic
2023-12-10T15:24:58.043298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7 19
 
9.5%
6 18
 
9.0%
9 16
 
8.0%
8 14
 
7.0%
5 13
 
6.5%
10 12
 
6.0%
12 10
 
5.0%
11 9
 
4.5%
4 7
 
3.5%
17 6
 
3.0%
Other values (32) 75
37.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
 
1.5%
3 3
 
1.5%
4 7
 
3.5%
5 13
6.5%
6 18
9.0%
7 19
9.5%
8 14
7.0%
9 16
8.0%
ValueCountFrequency (%)
68 1
0.5%
58 1
0.5%
56 1
0.5%
46 1
0.5%
45 1
0.5%
43 2
1.0%
41 1
0.5%
40 1
0.5%
39 1
0.5%
36 2
1.0%

265
Real number (ℝ)

Distinct159
Distinct (%)79.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.30653
Minimum0
Maximum1203
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:58.273641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile86.7
Q1143
median236
Q3349.5
95-th percentile522
Maximum1203
Range1203
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation164.62161
Coefficient of variation (CV)0.6158533
Kurtosis6.0349102
Mean267.30653
Median Absolute Deviation (MAD)101
Skewness1.837007
Sum53194
Variance27100.274
MonotonicityNot monotonic
2023-12-10T15:24:58.558893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128 4
 
2.0%
186 3
 
1.5%
276 3
 
1.5%
313 3
 
1.5%
143 3
 
1.5%
247 3
 
1.5%
443 2
 
1.0%
311 2
 
1.0%
517 2
 
1.0%
349 2
 
1.0%
Other values (149) 172
86.4%
ValueCountFrequency (%)
0 1
0.5%
55 1
0.5%
69 1
0.5%
73 1
0.5%
74 1
0.5%
77 1
0.5%
78 1
0.5%
81 1
0.5%
83 1
0.5%
84 1
0.5%
ValueCountFrequency (%)
1203 1
0.5%
931 1
0.5%
835 1
0.5%
706 1
0.5%
679 1
0.5%
644 1
0.5%
633 1
0.5%
605 1
0.5%
563 1
0.5%
540 1
0.5%

12.13
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.532663
Minimum0
Maximum62
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:58.772173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median10
Q314.5
95-th percentile32
Maximum62
Range62
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation9.3672376
Coefficient of variation (CV)0.74742593
Kurtosis6.3533341
Mean12.532663
Median Absolute Deviation (MAD)4
Skewness2.1609388
Sum2494
Variance87.74514
MonotonicityNot monotonic
2023-12-10T15:24:59.129925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 21
 
10.6%
5 16
 
8.0%
7 15
 
7.5%
10 15
 
7.5%
8 15
 
7.5%
11 13
 
6.5%
9 12
 
6.0%
14 11
 
5.5%
12 10
 
5.0%
4 9
 
4.5%
Other values (29) 62
31.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 1
 
0.5%
3 2
 
1.0%
4 9
4.5%
5 16
8.0%
6 21
10.6%
7 15
7.5%
8 15
7.5%
9 12
6.0%
ValueCountFrequency (%)
62 1
0.5%
57 1
0.5%
44 1
0.5%
39 1
0.5%
37 2
1.0%
35 1
0.5%
34 1
0.5%
33 1
0.5%
32 2
1.0%
29 2
1.0%

14.6
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.562814
Minimum0
Maximum84
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:59.370753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median12
Q318
95-th percentile31.1
Maximum84
Range84
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.363827
Coefficient of variation (CV)0.71166377
Kurtosis10.452417
Mean14.562814
Median Absolute Deviation (MAD)5
Skewness2.426764
Sum2898
Variance107.40891
MonotonicityNot monotonic
2023-12-10T15:24:59.586904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8 17
 
8.5%
7 16
 
8.0%
11 15
 
7.5%
6 14
 
7.0%
12 13
 
6.5%
14 12
 
6.0%
9 11
 
5.5%
10 10
 
5.0%
15 8
 
4.0%
5 7
 
3.5%
Other values (28) 76
38.2%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 4
 
2.0%
5 7
3.5%
6 14
7.0%
7 16
8.0%
8 17
8.5%
9 11
5.5%
10 10
5.0%
ValueCountFrequency (%)
84 1
 
0.5%
53 1
 
0.5%
47 1
 
0.5%
43 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
37 3
1.5%
32 1
 
0.5%
31 3
1.5%
30 2
1.0%

16.6
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.718593
Minimum0
Maximum82
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:24:59.853832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median10
Q316
95-th percentile27
Maximum82
Range82
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.9189242
Coefficient of variation (CV)0.7798759
Kurtosis17.086366
Mean12.718593
Median Absolute Deviation (MAD)4
Skewness3.2373511
Sum2531
Variance98.385057
MonotonicityNot monotonic
2023-12-10T15:25:00.095910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 21
 
10.6%
8 15
 
7.5%
9 13
 
6.5%
5 13
 
6.5%
6 13
 
6.5%
12 12
 
6.0%
10 11
 
5.5%
4 10
 
5.0%
17 9
 
4.5%
11 9
 
4.5%
Other values (23) 73
36.7%
ValueCountFrequency (%)
0 1
 
0.5%
2 5
 
2.5%
3 2
 
1.0%
4 10
5.0%
5 13
6.5%
6 13
6.5%
7 21
10.6%
8 15
7.5%
9 13
6.5%
10 11
5.5%
ValueCountFrequency (%)
82 1
 
0.5%
71 1
 
0.5%
42 2
 
1.0%
36 1
 
0.5%
33 1
 
0.5%
30 1
 
0.5%
27 5
2.5%
26 4
2.0%
25 5
2.5%
24 4
2.0%

22.4
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.80402
Minimum0
Maximum106
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:00.331208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q15
median10
Q316
95-th percentile35
Maximum106
Range106
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.075804
Coefficient of variation (CV)0.94312595
Kurtosis18.154256
Mean12.80402
Median Absolute Deviation (MAD)5
Skewness3.1818029
Sum2548
Variance145.82503
MonotonicityNot monotonic
2023-12-10T15:25:00.557772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
10 15
 
7.5%
11 14
 
7.0%
9 14
 
7.0%
5 13
 
6.5%
7 13
 
6.5%
2 11
 
5.5%
4 10
 
5.0%
1 9
 
4.5%
3 9
 
4.5%
6 9
 
4.5%
Other values (31) 82
41.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 9
4.5%
2 11
5.5%
3 9
4.5%
4 10
5.0%
5 13
6.5%
6 9
4.5%
7 13
6.5%
8 7
3.5%
9 14
7.0%
ValueCountFrequency (%)
106 1
0.5%
55 1
0.5%
54 1
0.5%
42 1
0.5%
40 2
1.0%
39 1
0.5%
36 2
1.0%
35 2
1.0%
34 1
0.5%
33 1
0.5%

11.16
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.603015
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:00.847991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q321
95-th percentile38.3
Maximum68
Range67
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.249436
Coefficient of variation (CV)0.78506851
Kurtosis3.5718583
Mean15.603015
Median Absolute Deviation (MAD)5
Skewness1.7499943
Sum3105
Variance150.04868
MonotonicityNot monotonic
2023-12-10T15:25:01.109236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6 16
 
8.0%
9 16
 
8.0%
7 16
 
8.0%
10 15
 
7.5%
4 12
 
6.0%
11 10
 
5.0%
12 8
 
4.0%
17 8
 
4.0%
8 7
 
3.5%
5 7
 
3.5%
Other values (36) 84
42.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 1
 
0.5%
4 12
6.0%
5 7
3.5%
6 16
8.0%
7 16
8.0%
8 7
3.5%
9 16
8.0%
10 15
7.5%
ValueCountFrequency (%)
68 1
0.5%
63 1
0.5%
60 1
0.5%
58 1
0.5%
55 1
0.5%
51 1
0.5%
46 1
0.5%
44 1
0.5%
41 2
1.0%
38 1
0.5%

11.17
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.572864
Minimum0
Maximum78
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:01.364282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q315.5
95-th percentile32
Maximum78
Range78
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation11.043233
Coefficient of variation (CV)0.87833868
Kurtosis11.67939
Mean12.572864
Median Absolute Deviation (MAD)4
Skewness2.8219072
Sum2502
Variance121.953
MonotonicityNot monotonic
2023-12-10T15:25:01.627004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 18
 
9.0%
8 17
 
8.5%
6 17
 
8.5%
9 16
 
8.0%
7 14
 
7.0%
4 13
 
6.5%
10 11
 
5.5%
11 10
 
5.0%
12 7
 
3.5%
13 7
 
3.5%
Other values (29) 69
34.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 4
 
2.0%
3 6
 
3.0%
4 13
6.5%
5 18
9.0%
6 17
8.5%
7 14
7.0%
8 17
8.5%
9 16
8.0%
ValueCountFrequency (%)
78 1
0.5%
77 1
0.5%
51 1
0.5%
43 1
0.5%
40 1
0.5%
39 1
0.5%
37 1
0.5%
36 2
1.0%
32 2
1.0%
31 1
0.5%

14.7
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.180905
Minimum0
Maximum101
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:01.863334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median10
Q317
95-th percentile36.1
Maximum101
Range101
Interquartile range (IQR)11

Descriptive statistics

Standard deviation12.893403
Coefficient of variation (CV)0.90920877
Kurtosis17.063437
Mean14.180905
Median Absolute Deviation (MAD)4
Skewness3.3536332
Sum2822
Variance166.23984
MonotonicityNot monotonic
2023-12-10T15:25:02.095426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
6 18
 
9.0%
9 18
 
9.0%
7 14
 
7.0%
11 13
 
6.5%
5 13
 
6.5%
4 11
 
5.5%
10 10
 
5.0%
17 9
 
4.5%
12 9
 
4.5%
13 9
 
4.5%
Other values (33) 75
37.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
3 5
 
2.5%
4 11
5.5%
5 13
6.5%
6 18
9.0%
7 14
7.0%
8 7
 
3.5%
9 18
9.0%
ValueCountFrequency (%)
101 1
 
0.5%
94 1
 
0.5%
57 1
 
0.5%
48 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
38 3
1.5%
37 1
 
0.5%
36 1
 
0.5%
35 1
 
0.5%

16.7
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.145729
Minimum0
Maximum86
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:02.309364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q314.5
95-th percentile29.1
Maximum86
Range86
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.603214
Coefficient of variation (CV)0.87299943
Kurtosis17.497307
Mean12.145729
Median Absolute Deviation (MAD)4
Skewness3.3752562
Sum2417
Variance112.42815
MonotonicityNot monotonic
2023-12-10T15:25:02.502697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 28
 
14.1%
5 15
 
7.5%
9 13
 
6.5%
8 11
 
5.5%
14 11
 
5.5%
3 11
 
5.5%
10 11
 
5.5%
6 11
 
5.5%
11 9
 
4.5%
16 8
 
4.0%
Other values (27) 71
35.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 4
 
2.0%
3 11
 
5.5%
4 6
 
3.0%
5 15
7.5%
6 11
 
5.5%
7 28
14.1%
8 11
 
5.5%
9 13
6.5%
ValueCountFrequency (%)
86 1
 
0.5%
75 1
 
0.5%
44 2
1.0%
42 1
 
0.5%
37 1
 
0.5%
31 1
 
0.5%
30 3
1.5%
29 2
1.0%
28 1
 
0.5%
27 1
 
0.5%

26.5
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.346734
Minimum0
Maximum130
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:02.712456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q319.5
95-th percentile41
Maximum130
Range130
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation15.169926
Coefficient of variation (CV)1.0573784
Kurtosis17.353465
Mean14.346734
Median Absolute Deviation (MAD)7
Skewness3.1147851
Sum2855
Variance230.12664
MonotonicityNot monotonic
2023-12-10T15:25:02.962590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2 17
 
8.5%
1 14
 
7.0%
5 11
 
5.5%
4 10
 
5.0%
3 9
 
4.5%
8 9
 
4.5%
11 9
 
4.5%
16 8
 
4.0%
7 8
 
4.0%
13 8
 
4.0%
Other values (33) 96
48.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 14
7.0%
2 17
8.5%
3 9
4.5%
4 10
5.0%
5 11
5.5%
6 8
4.0%
7 8
4.0%
8 9
4.5%
9 5
 
2.5%
ValueCountFrequency (%)
130 1
0.5%
69 1
0.5%
66 1
0.5%
50 2
1.0%
49 2
1.0%
44 1
0.5%
42 1
0.5%
41 2
1.0%
40 1
0.5%
39 1
0.5%

35.2
Real number (ℝ)

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.643216
Minimum1
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:03.588693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12
Q120
median34
Q357.5
95-th percentile110.4
Maximum172
Range171
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation31.454285
Coefficient of variation (CV)0.73761522
Kurtosis3.0656694
Mean42.643216
Median Absolute Deviation (MAD)16
Skewness1.6740168
Sum8486
Variance989.37206
MonotonicityNot monotonic
2023-12-10T15:25:03.886986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 9
 
4.5%
16 7
 
3.5%
36 7
 
3.5%
18 6
 
3.0%
42 6
 
3.0%
17 6
 
3.0%
23 5
 
2.5%
24 5
 
2.5%
19 5
 
2.5%
25 5
 
2.5%
Other values (75) 138
69.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
8 1
 
0.5%
9 2
 
1.0%
10 2
 
1.0%
11 2
 
1.0%
12 2
 
1.0%
13 4
2.0%
14 1
 
0.5%
15 9
4.5%
ValueCountFrequency (%)
172 1
0.5%
159 1
0.5%
150 1
0.5%
144 1
0.5%
137 1
0.5%
133 1
0.5%
130 1
0.5%
125 1
0.5%
120 1
0.5%
114 1
0.5%

155
Real number (ℝ)

Distinct152
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean204.38693
Minimum36
Maximum951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:04.166766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile61.9
Q197
median157
Q3244.5
95-th percentile499.7
Maximum951
Range915
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation159.8327
Coefficient of variation (CV)0.78201034
Kurtosis5.1341658
Mean204.38693
Median Absolute Deviation (MAD)69
Skewness2.0966427
Sum40673
Variance25546.491
MonotonicityNot monotonic
2023-12-10T15:25:04.418910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 4
 
2.0%
100 4
 
2.0%
75 4
 
2.0%
184 3
 
1.5%
145 3
 
1.5%
109 3
 
1.5%
103 2
 
1.0%
127 2
 
1.0%
207 2
 
1.0%
249 2
 
1.0%
Other values (142) 170
85.4%
ValueCountFrequency (%)
36 1
0.5%
43 1
0.5%
45 1
0.5%
46 1
0.5%
49 1
0.5%
51 1
0.5%
54 1
0.5%
58 1
0.5%
59 1
0.5%
61 1
0.5%
ValueCountFrequency (%)
951 1
0.5%
812 1
0.5%
805 1
0.5%
757 1
0.5%
752 1
0.5%
719 1
0.5%
688 1
0.5%
676 1
0.5%
556 1
0.5%
551 1
0.5%

35.3
Real number (ℝ)

Distinct93
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.407035
Minimum1
Maximum228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:04.688119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.9
Q120
median36
Q361.5
95-th percentile143.4
Maximum228
Range227
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation43.188571
Coefficient of variation (CV)0.8567965
Kurtosis3.635182
Mean50.407035
Median Absolute Deviation (MAD)18
Skewness1.8869221
Sum10031
Variance1865.2527
MonotonicityNot monotonic
2023-12-10T15:25:04.931710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 10
 
5.0%
17 9
 
4.5%
25 6
 
3.0%
19 6
 
3.0%
27 6
 
3.0%
20 6
 
3.0%
24 5
 
2.5%
22 5
 
2.5%
33 4
 
2.0%
69 4
 
2.0%
Other values (83) 138
69.3%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
10 2
1.0%
11 3
1.5%
12 2
1.0%
13 1
 
0.5%
14 4
2.0%
15 4
2.0%
16 2
1.0%
ValueCountFrequency (%)
228 1
0.5%
208 1
0.5%
203 1
0.5%
198 1
0.5%
186 1
0.5%
185 1
0.5%
177 1
0.5%
169 1
0.5%
148 1
0.5%
147 1
0.5%

5.7
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9648241
Minimum0
Maximum63
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:05.157852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q310
95-th percentile22
Maximum63
Range63
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.4963809
Coefficient of variation (CV)0.94118599
Kurtosis16.336883
Mean7.9648241
Median Absolute Deviation (MAD)2
Skewness3.2055286
Sum1585
Variance56.195726
MonotonicityNot monotonic
2023-12-10T15:25:05.385206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 33
16.6%
4 25
12.6%
5 23
11.6%
2 18
9.0%
7 14
 
7.0%
10 10
 
5.0%
6 10
 
5.0%
12 9
 
4.5%
11 7
 
3.5%
14 7
 
3.5%
Other values (19) 43
21.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 18
9.0%
3 33
16.6%
4 25
12.6%
5 23
11.6%
6 10
 
5.0%
7 14
7.0%
8 7
 
3.5%
9 6
 
3.0%
ValueCountFrequency (%)
63 1
0.5%
40 1
0.5%
34 1
0.5%
31 1
0.5%
29 1
0.5%
27 1
0.5%
25 2
1.0%
23 1
0.5%
22 2
1.0%
21 1
0.5%

5.8
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7889447
Minimum0
Maximum43
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:05.605447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q311
95-th percentile25.1
Maximum43
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.4070454
Coefficient of variation (CV)0.84276846
Kurtosis3.4389151
Mean8.7889447
Median Absolute Deviation (MAD)3
Skewness1.8032507
Sum1749
Variance54.864322
MonotonicityNot monotonic
2023-12-10T15:25:05.803055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 27
13.6%
4 21
10.6%
6 21
10.6%
5 20
10.1%
2 16
 
8.0%
7 13
 
6.5%
9 11
 
5.5%
15 10
 
5.0%
8 8
 
4.0%
11 7
 
3.5%
Other values (24) 45
22.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 16
8.0%
3 27
13.6%
4 21
10.6%
5 20
10.1%
6 21
10.6%
7 13
6.5%
8 8
 
4.0%
9 11
5.5%
ValueCountFrequency (%)
43 1
0.5%
34 1
0.5%
33 1
0.5%
31 1
0.5%
30 1
0.5%
29 2
1.0%
28 1
0.5%
27 1
0.5%
26 1
0.5%
25 2
1.0%

7.18
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.79397
Minimum0
Maximum62
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:05.970930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q313.5
95-th percentile30
Maximum62
Range62
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.8505378
Coefficient of variation (CV)0.91259638
Kurtosis6.5646155
Mean10.79397
Median Absolute Deviation (MAD)4
Skewness2.2753213
Sum2148
Variance97.033095
MonotonicityNot monotonic
2023-12-10T15:25:06.169108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 22
 
11.1%
4 21
 
10.6%
5 21
 
10.6%
10 15
 
7.5%
6 15
 
7.5%
7 10
 
5.0%
2 9
 
4.5%
11 8
 
4.0%
13 8
 
4.0%
8 8
 
4.0%
Other values (28) 62
31.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 9
4.5%
3 22
11.1%
4 21
10.6%
5 21
10.6%
6 15
7.5%
7 10
5.0%
8 8
 
4.0%
9 3
 
1.5%
ValueCountFrequency (%)
62 1
0.5%
54 1
0.5%
46 2
1.0%
45 1
0.5%
39 1
0.5%
37 1
0.5%
32 1
0.5%
31 1
0.5%
30 2
1.0%
28 2
1.0%

7.19
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8190955
Minimum0
Maximum49
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:06.401576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q310
95-th percentile19.1
Maximum49
Range49
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.1494384
Coefficient of variation (CV)0.78646417
Kurtosis11.694266
Mean7.8190955
Median Absolute Deviation (MAD)3
Skewness2.6892015
Sum1556
Variance37.815593
MonotonicityNot monotonic
2023-12-10T15:25:06.569402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 33
16.6%
7 21
10.6%
4 18
9.0%
6 18
9.0%
5 17
8.5%
12 14
7.0%
2 12
 
6.0%
9 12
 
6.0%
8 12
 
6.0%
11 10
 
5.0%
Other values (17) 32
16.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 12
 
6.0%
3 33
16.6%
4 18
9.0%
5 17
8.5%
6 18
9.0%
7 21
10.6%
8 12
 
6.0%
9 12
 
6.0%
ValueCountFrequency (%)
49 1
0.5%
32 1
0.5%
31 1
0.5%
26 1
0.5%
25 2
1.0%
24 1
0.5%
22 1
0.5%
20 2
1.0%
19 1
0.5%
17 2
1.0%

10.12
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.120603
Minimum0
Maximum49
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:06.721779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile16.1
Maximum49
Range49
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.4906282
Coefficient of variation (CV)0.77109033
Kurtosis17.426068
Mean7.120603
Median Absolute Deviation (MAD)2
Skewness3.0983124
Sum1417
Variance30.146998
MonotonicityNot monotonic
2023-12-10T15:25:06.886293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4 31
15.6%
5 26
13.1%
3 21
10.6%
6 18
9.0%
8 15
7.5%
7 14
7.0%
2 14
7.0%
9 11
 
5.5%
10 8
 
4.0%
11 7
 
3.5%
Other values (13) 34
17.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 14
7.0%
3 21
10.6%
4 31
15.6%
5 26
13.1%
6 18
9.0%
7 14
7.0%
8 15
7.5%
9 11
 
5.5%
ValueCountFrequency (%)
49 1
 
0.5%
26 1
 
0.5%
25 2
 
1.0%
19 2
 
1.0%
18 2
 
1.0%
17 2
 
1.0%
16 3
1.5%
15 3
1.5%
14 5
2.5%
13 5
2.5%

5.9
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.663317
Minimum0
Maximum77
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:07.155043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314
95-th percentile45.1
Maximum77
Range77
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.497557
Coefficient of variation (CV)1.1572658
Kurtosis6.6471839
Mean11.663317
Median Absolute Deviation (MAD)4
Skewness2.4978928
Sum2321
Variance182.18405
MonotonicityNot monotonic
2023-12-10T15:25:07.420981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 32
16.1%
4 24
 
12.1%
5 17
 
8.5%
2 14
 
7.0%
7 10
 
5.0%
8 10
 
5.0%
9 9
 
4.5%
6 8
 
4.0%
11 7
 
3.5%
10 6
 
3.0%
Other values (33) 62
31.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 14
7.0%
3 32
16.1%
4 24
12.1%
5 17
8.5%
6 8
 
4.0%
7 10
 
5.0%
8 10
 
5.0%
9 9
 
4.5%
ValueCountFrequency (%)
77 1
0.5%
70 1
0.5%
65 1
0.5%
57 1
0.5%
55 1
0.5%
54 1
0.5%
53 1
0.5%
51 1
0.5%
48 1
0.5%
46 1
0.5%

5.10
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.331658
Minimum0
Maximum56
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:07.598932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q313
95-th percentile35.1
Maximum56
Range56
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.506879
Coefficient of variation (CV)1.0169596
Kurtosis5.2258427
Mean10.331658
Median Absolute Deviation (MAD)3
Skewness2.1979031
Sum2056
Variance110.3945
MonotonicityNot monotonic
2023-12-10T15:25:07.758738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4 27
13.6%
5 22
 
11.1%
3 21
 
10.6%
2 18
 
9.0%
8 12
 
6.0%
6 11
 
5.5%
9 9
 
4.5%
13 8
 
4.0%
10 7
 
3.5%
7 7
 
3.5%
Other values (29) 57
28.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 18
9.0%
3 21
10.6%
4 27
13.6%
5 22
11.1%
6 11
5.5%
7 7
 
3.5%
8 12
6.0%
9 9
 
4.5%
ValueCountFrequency (%)
56 2
1.0%
54 1
0.5%
47 1
0.5%
40 1
0.5%
38 1
0.5%
37 2
1.0%
36 2
1.0%
35 1
0.5%
34 1
0.5%
33 1
0.5%

6.14
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.713568
Minimum0
Maximum92
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:07.977888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314.5
95-th percentile36
Maximum92
Range92
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation12.523246
Coefficient of variation (CV)1.0691231
Kurtosis11.563984
Mean11.713568
Median Absolute Deviation (MAD)4
Skewness2.8840055
Sum2331
Variance156.83168
MonotonicityNot monotonic
2023-12-10T15:25:08.159042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3 22
 
11.1%
4 21
 
10.6%
5 18
 
9.0%
6 18
 
9.0%
2 12
 
6.0%
8 10
 
5.0%
10 8
 
4.0%
12 7
 
3.5%
7 7
 
3.5%
13 7
 
3.5%
Other values (31) 69
34.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 12
6.0%
3 22
11.1%
4 21
10.6%
5 18
9.0%
6 18
9.0%
7 7
 
3.5%
8 10
5.0%
9 5
 
2.5%
ValueCountFrequency (%)
92 1
0.5%
72 1
0.5%
55 1
0.5%
53 1
0.5%
48 1
0.5%
46 1
0.5%
43 1
0.5%
40 1
0.5%
38 1
0.5%
36 2
1.0%

7.20
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4170854
Minimum0
Maximum52
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:08.347567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q310
95-th percentile21
Maximum52
Range52
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.0303749
Coefficient of variation (CV)0.83525051
Kurtosis9.2599339
Mean8.4170854
Median Absolute Deviation (MAD)3
Skewness2.5076809
Sum1675
Variance49.426171
MonotonicityNot monotonic
2023-12-10T15:25:08.570551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3 28
14.1%
4 25
12.6%
6 20
10.1%
5 16
 
8.0%
10 15
 
7.5%
7 13
 
6.5%
8 11
 
5.5%
9 10
 
5.0%
2 10
 
5.0%
12 9
 
4.5%
Other values (20) 42
21.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 10
 
5.0%
3 28
14.1%
4 25
12.6%
5 16
8.0%
6 20
10.1%
7 13
6.5%
8 11
 
5.5%
9 10
 
5.0%
ValueCountFrequency (%)
52 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
24 2
1.0%
21 3
1.5%
20 2
1.0%

154
Real number (ℝ)

Distinct131
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.52261
Minimum3
Maximum820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:08.820602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile42
Q176
median110
Q3163
95-th percentile297.2
Maximum820
Range817
Interquartile range (IQR)87

Descriptive statistics

Standard deviation97.502697
Coefficient of variation (CV)0.71945704
Kurtosis13.140459
Mean135.52261
Median Absolute Deviation (MAD)39
Skewness2.7098861
Sum26969
Variance9506.776
MonotonicityNot monotonic
2023-12-10T15:25:09.086295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 7
 
3.5%
79 4
 
2.0%
92 4
 
2.0%
72 4
 
2.0%
115 4
 
2.0%
100 4
 
2.0%
129 3
 
1.5%
73 3
 
1.5%
76 3
 
1.5%
42 3
 
1.5%
Other values (121) 160
80.4%
ValueCountFrequency (%)
3 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
34 1
 
0.5%
37 2
1.0%
39 1
 
0.5%
42 3
1.5%
43 1
 
0.5%
45 2
1.0%
ValueCountFrequency (%)
820 1
0.5%
564 1
0.5%
398 1
0.5%
391 1
0.5%
385 1
0.5%
338 1
0.5%
318 1
0.5%
312 1
0.5%
300 1
0.5%
299 1
0.5%

12.14
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4271357
Minimum0
Maximum60
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:09.322441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14.5
median7
Q311
95-th percentile20.1
Maximum60
Range60
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation6.6979167
Coefficient of variation (CV)0.79480347
Kurtosis17.721781
Mean8.4271357
Median Absolute Deviation (MAD)3
Skewness3.0443882
Sum1677
Variance44.862088
MonotonicityNot monotonic
2023-12-10T15:25:09.915510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5 28
14.1%
6 19
 
9.5%
4 17
 
8.5%
7 15
 
7.5%
2 14
 
7.0%
9 12
 
6.0%
8 11
 
5.5%
11 11
 
5.5%
3 10
 
5.0%
13 9
 
4.5%
Other values (18) 53
26.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 7
 
3.5%
2 14
7.0%
3 10
 
5.0%
4 17
8.5%
5 28
14.1%
6 19
9.5%
7 15
7.5%
8 11
 
5.5%
9 12
6.0%
ValueCountFrequency (%)
60 1
 
0.5%
31 1
 
0.5%
30 1
 
0.5%
25 1
 
0.5%
23 2
1.0%
22 3
1.5%
21 1
 
0.5%
20 1
 
0.5%
19 3
1.5%
18 2
1.0%

43
Real number (ℝ)

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.994975
Minimum4
Maximum472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:10.192509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q127.5
median54
Q3115.5
95-th percentile251.4
Maximum472
Range468
Interquartile range (IQR)88

Descriptive statistics

Standard deviation83.685589
Coefficient of variation (CV)0.9731451
Kurtosis3.7878243
Mean85.994975
Median Absolute Deviation (MAD)32
Skewness1.8534918
Sum17113
Variance7003.2778
MonotonicityNot monotonic
2023-12-10T15:25:10.436293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 6
 
3.0%
19 6
 
3.0%
20 5
 
2.5%
30 5
 
2.5%
34 4
 
2.0%
28 4
 
2.0%
18 4
 
2.0%
22 4
 
2.0%
27 3
 
1.5%
32 3
 
1.5%
Other values (106) 155
77.9%
ValueCountFrequency (%)
4 1
 
0.5%
5 1
 
0.5%
11 2
 
1.0%
13 3
1.5%
14 1
 
0.5%
15 1
 
0.5%
16 2
 
1.0%
17 1
 
0.5%
18 4
2.0%
19 6
3.0%
ValueCountFrequency (%)
472 1
0.5%
421 1
0.5%
368 1
0.5%
344 1
0.5%
329 1
0.5%
310 1
0.5%
303 1
0.5%
282 1
0.5%
266 1
0.5%
255 1
0.5%

44
Real number (ℝ)

Distinct117
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.9397
Minimum5
Maximum707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:10.662362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile17
Q129
median60
Q3151
95-th percentile348.7
Maximum707
Range702
Interquartile range (IQR)122

Descriptive statistics

Standard deviation116.63517
Coefficient of variation (CV)1.1009582
Kurtosis5.7660313
Mean105.9397
Median Absolute Deviation (MAD)37
Skewness2.1813659
Sum21082
Variance13603.764
MonotonicityNot monotonic
2023-12-10T15:25:10.958931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 7
 
3.5%
22 5
 
2.5%
23 5
 
2.5%
42 4
 
2.0%
13 4
 
2.0%
31 4
 
2.0%
18 4
 
2.0%
29 4
 
2.0%
17 3
 
1.5%
62 3
 
1.5%
Other values (107) 156
78.4%
ValueCountFrequency (%)
5 2
 
1.0%
13 4
2.0%
14 2
 
1.0%
17 3
1.5%
18 4
2.0%
19 2
 
1.0%
20 3
1.5%
21 7
3.5%
22 5
2.5%
23 5
2.5%
ValueCountFrequency (%)
707 1
0.5%
588 1
0.5%
560 1
0.5%
489 1
0.5%
448 1
0.5%
424 1
0.5%
388 1
0.5%
361 1
0.5%
356 1
0.5%
355 1
0.5%

7.21
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.572864
Minimum1
Maximum164
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:11.225872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median10
Q324.5
95-th percentile63.1
Maximum164
Range163
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation22.748814
Coefficient of variation (CV)1.2248415
Kurtosis12.487289
Mean18.572864
Median Absolute Deviation (MAD)6
Skewness2.9259342
Sum3696
Variance517.50855
MonotonicityNot monotonic
2023-12-10T15:25:11.486492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 21
 
10.6%
4 20
 
10.1%
5 16
 
8.0%
6 14
 
7.0%
7 9
 
4.5%
13 6
 
3.0%
18 6
 
3.0%
8 6
 
3.0%
2 6
 
3.0%
14 6
 
3.0%
Other values (43) 89
44.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 6
 
3.0%
3 21
10.6%
4 20
10.1%
5 16
8.0%
6 14
7.0%
7 9
4.5%
8 6
 
3.0%
9 5
 
2.5%
10 5
 
2.5%
ValueCountFrequency (%)
164 1
 
0.5%
145 1
 
0.5%
84 1
 
0.5%
76 1
 
0.5%
75 1
 
0.5%
69 1
 
0.5%
68 2
1.0%
64 2
1.0%
63 3
1.5%
58 2
1.0%

7.22
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.492462
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:11.766068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median10
Q325
95-th percentile58.1
Maximum109
Range108
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.869236
Coefficient of variation (CV)1.0744506
Kurtosis4.1220491
Mean18.492462
Median Absolute Deviation (MAD)7
Skewness1.9610936
Sum3680
Variance394.78656
MonotonicityNot monotonic
2023-12-10T15:25:12.026295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
3 18
 
9.0%
6 17
 
8.5%
8 15
 
7.5%
5 13
 
6.5%
19 7
 
3.5%
7 7
 
3.5%
10 6
 
3.0%
17 6
 
3.0%
25 5
 
2.5%
Other values (47) 87
43.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 4
 
2.0%
3 18
9.0%
4 18
9.0%
5 13
6.5%
6 17
8.5%
7 7
 
3.5%
8 15
7.5%
9 3
 
1.5%
10 6
 
3.0%
ValueCountFrequency (%)
109 1
0.5%
94 1
0.5%
93 1
0.5%
86 1
0.5%
76 1
0.5%
74 1
0.5%
72 1
0.5%
70 1
0.5%
60 1
0.5%
59 1
0.5%

8.15
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.160804
Minimum1
Maximum189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:12.352686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15.5
median12
Q331
95-th percentile70.8
Maximum189
Range188
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation25.967623
Coefficient of variation (CV)1.1717816
Kurtosis10.224972
Mean22.160804
Median Absolute Deviation (MAD)8
Skewness2.636303
Sum4410
Variance674.31745
MonotonicityNot monotonic
2023-12-10T15:25:12.601488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
5 16
 
8.0%
6 16
 
8.0%
7 10
 
5.0%
3 10
 
5.0%
8 8
 
4.0%
9 7
 
3.5%
13 6
 
3.0%
21 5
 
2.5%
12 5
 
2.5%
Other values (55) 98
49.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 4
 
2.0%
3 10
5.0%
4 18
9.0%
5 16
8.0%
6 16
8.0%
7 10
5.0%
8 8
4.0%
9 7
 
3.5%
10 4
 
2.0%
ValueCountFrequency (%)
189 1
0.5%
136 1
0.5%
108 1
0.5%
96 1
0.5%
93 1
0.5%
89 1
0.5%
81 1
0.5%
80 1
0.5%
79 1
0.5%
78 1
0.5%

9.7
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.311558
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:12.859965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median9
Q319
95-th percentile41.1
Maximum170
Range169
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.702748
Coefficient of variation (CV)1.156169
Kurtosis31.056383
Mean15.311558
Median Absolute Deviation (MAD)5
Skewness4.4265073
Sum3047
Variance313.38729
MonotonicityNot monotonic
2023-12-10T15:25:13.109032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4 25
 
12.6%
7 16
 
8.0%
5 15
 
7.5%
3 10
 
5.0%
9 10
 
5.0%
15 10
 
5.0%
6 9
 
4.5%
8 8
 
4.0%
20 6
 
3.0%
14 6
 
3.0%
Other values (36) 84
42.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 5
 
2.5%
3 10
 
5.0%
4 25
12.6%
5 15
7.5%
6 9
 
4.5%
7 16
8.0%
8 8
 
4.0%
9 10
 
5.0%
10 5
 
2.5%
ValueCountFrequency (%)
170 1
0.5%
90 1
0.5%
84 1
0.5%
66 1
0.5%
55 1
0.5%
49 1
0.5%
44 2
1.0%
42 2
1.0%
41 1
0.5%
40 1
0.5%

12.15
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.321608
Minimum0
Maximum60
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:13.313817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q16
median9
Q315
95-th percentile25.1
Maximum60
Range60
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.2747691
Coefficient of variation (CV)0.73088284
Kurtosis8.4921344
Mean11.321608
Median Absolute Deviation (MAD)4
Skewness2.3019785
Sum2253
Variance68.471803
MonotonicityNot monotonic
2023-12-10T15:25:13.531883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
5 22
 
11.1%
6 20
 
10.1%
9 14
 
7.0%
4 14
 
7.0%
7 14
 
7.0%
8 12
 
6.0%
10 12
 
6.0%
11 10
 
5.0%
12 9
 
4.5%
20 7
 
3.5%
Other values (22) 65
32.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
 
1.5%
3 5
 
2.5%
4 14
7.0%
5 22
11.1%
6 20
10.1%
7 14
7.0%
8 12
6.0%
9 14
7.0%
ValueCountFrequency (%)
60 1
 
0.5%
51 1
 
0.5%
43 1
 
0.5%
34 1
 
0.5%
31 3
1.5%
26 3
1.5%
25 2
1.0%
24 2
1.0%
23 1
 
0.5%
22 2
1.0%

6.15
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.125628
Minimum1
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:13.770612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median11
Q335
95-th percentile102
Maximum271
Range270
Interquartile range (IQR)30

Descriptive statistics

Standard deviation38.330821
Coefficient of variation (CV)1.3628432
Kurtosis9.3307466
Mean28.125628
Median Absolute Deviation (MAD)8
Skewness2.5987355
Sum5597
Variance1469.2518
MonotonicityNot monotonic
2023-12-10T15:25:14.066054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
9.5%
5 18
 
9.0%
3 17
 
8.5%
6 14
 
7.0%
7 9
 
4.5%
2 7
 
3.5%
9 6
 
3.0%
13 5
 
2.5%
16 5
 
2.5%
14 4
 
2.0%
Other values (61) 95
47.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 7
 
3.5%
3 17
8.5%
4 19
9.5%
5 18
9.0%
6 14
7.0%
7 9
4.5%
8 3
 
1.5%
9 6
 
3.0%
10 3
 
1.5%
ValueCountFrequency (%)
271 1
0.5%
174 1
0.5%
150 2
1.0%
139 1
0.5%
137 1
0.5%
118 1
0.5%
114 1
0.5%
112 1
0.5%
111 1
0.5%
101 1
0.5%

6.16
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.286432
Minimum1
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:14.330394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median11
Q328.5
95-th percentile77.2
Maximum146
Range145
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation25.269524
Coefficient of variation (CV)1.1871188
Kurtosis5.4501833
Mean21.286432
Median Absolute Deviation (MAD)7
Skewness2.2077932
Sum4236
Variance638.54886
MonotonicityNot monotonic
2023-12-10T15:25:14.558010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 20
 
10.1%
5 19
 
9.5%
4 14
 
7.0%
6 14
 
7.0%
7 9
 
4.5%
13 6
 
3.0%
17 6
 
3.0%
10 6
 
3.0%
21 5
 
2.5%
2 5
 
2.5%
Other values (50) 95
47.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 5
 
2.5%
3 20
10.1%
4 14
7.0%
5 19
9.5%
6 14
7.0%
7 9
4.5%
8 5
 
2.5%
9 4
 
2.0%
10 6
 
3.0%
ValueCountFrequency (%)
146 1
0.5%
119 1
0.5%
115 1
0.5%
114 1
0.5%
102 1
0.5%
96 1
0.5%
84 1
0.5%
81 1
0.5%
79 2
1.0%
77 1
0.5%

70
Real number (ℝ)

Distinct123
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.050251
Minimum2
Maximum375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:15.180342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile25.9
Q141
median69
Q3122.5
95-th percentile249.5
Maximum375
Range373
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation73.772565
Coefficient of variation (CV)0.792825
Kurtosis3.1624445
Mean93.050251
Median Absolute Deviation (MAD)33
Skewness1.7501421
Sum18517
Variance5442.3914
MonotonicityNot monotonic
2023-12-10T15:25:15.444973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 8
 
4.0%
36 7
 
3.5%
37 5
 
2.5%
88 4
 
2.0%
46 4
 
2.0%
47 3
 
1.5%
32 3
 
1.5%
50 3
 
1.5%
73 3
 
1.5%
52 3
 
1.5%
Other values (113) 156
78.4%
ValueCountFrequency (%)
2 1
0.5%
8 1
0.5%
13 1
0.5%
19 2
1.0%
21 2
1.0%
22 1
0.5%
23 1
0.5%
25 1
0.5%
26 1
0.5%
27 2
1.0%
ValueCountFrequency (%)
375 1
0.5%
365 1
0.5%
358 1
0.5%
357 1
0.5%
319 1
0.5%
315 1
0.5%
291 1
0.5%
270 1
0.5%
258 1
0.5%
254 1
0.5%

8.16
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.869347
Minimum1
Maximum332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:15.679402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median12
Q333.5
95-th percentile88
Maximum332
Range331
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation36.630878
Coefficient of variation (CV)1.4159955
Kurtosis26.187441
Mean25.869347
Median Absolute Deviation (MAD)8
Skewness4.0827946
Sum5148
Variance1341.8212
MonotonicityNot monotonic
2023-12-10T15:25:15.961368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 20
 
10.1%
6 14
 
7.0%
4 13
 
6.5%
5 13
 
6.5%
7 11
 
5.5%
10 8
 
4.0%
8 6
 
3.0%
20 6
 
3.0%
12 5
 
2.5%
2 5
 
2.5%
Other values (57) 98
49.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 5
 
2.5%
3 20
10.1%
4 13
6.5%
5 13
6.5%
6 14
7.0%
7 11
5.5%
8 6
 
3.0%
9 4
 
2.0%
10 8
 
4.0%
ValueCountFrequency (%)
332 1
 
0.5%
182 1
 
0.5%
164 1
 
0.5%
120 1
 
0.5%
112 1
 
0.5%
109 1
 
0.5%
103 1
 
0.5%
90 1
 
0.5%
88 3
1.5%
87 1
 
0.5%

9.8
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.286432
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:16.242437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median9
Q321.5
95-th percentile51
Maximum196
Range195
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation21.029161
Coefficient of variation (CV)1.2165125
Kurtosis27.920956
Mean17.286432
Median Absolute Deviation (MAD)5
Skewness4.1990633
Sum3440
Variance442.22562
MonotonicityNot monotonic
2023-12-10T15:25:16.534111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4 23
 
11.6%
5 16
 
8.0%
6 13
 
6.5%
9 12
 
6.0%
7 12
 
6.0%
8 11
 
5.5%
3 9
 
4.5%
17 6
 
3.0%
12 5
 
2.5%
11 5
 
2.5%
Other values (38) 87
43.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 9
 
4.5%
4 23
11.6%
5 16
8.0%
6 13
6.5%
7 12
6.0%
8 11
5.5%
9 12
6.0%
10 4
 
2.0%
ValueCountFrequency (%)
196 1
 
0.5%
108 1
 
0.5%
96 1
 
0.5%
74 1
 
0.5%
64 1
 
0.5%
63 1
 
0.5%
57 1
 
0.5%
54 1
 
0.5%
51 3
1.5%
50 2
1.0%

15.16
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.592965
Minimum0
Maximum74
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:16.801822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median11
Q317
95-th percentile31.3
Maximum74
Range74
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.550032
Coefficient of variation (CV)0.77613916
Kurtosis9.2910187
Mean13.592965
Median Absolute Deviation (MAD)5
Skewness2.4402695
Sum2705
Variance111.30318
MonotonicityNot monotonic
2023-12-10T15:25:17.057139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8 16
 
8.0%
6 15
 
7.5%
7 15
 
7.5%
5 14
 
7.0%
9 13
 
6.5%
11 12
 
6.0%
14 10
 
5.0%
13 9
 
4.5%
4 9
 
4.5%
16 7
 
3.5%
Other values (29) 79
39.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
3 6
 
3.0%
4 9
4.5%
5 14
7.0%
6 15
7.5%
7 15
7.5%
8 16
8.0%
9 13
6.5%
10 6
 
3.0%
ValueCountFrequency (%)
74 1
0.5%
71 1
0.5%
46 1
0.5%
44 1
0.5%
43 1
0.5%
39 1
0.5%
37 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%

119
Real number (ℝ)

Distinct131
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean118.79899
Minimum2
Maximum584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:17.292048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile35
Q161.5
median96
Q3152
95-th percentile255.8
Maximum584
Range582
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation82.053997
Coefficient of variation (CV)0.69069605
Kurtosis6.0437957
Mean118.79899
Median Absolute Deviation (MAD)41
Skewness1.9615375
Sum23641
Variance6732.8584
MonotonicityNot monotonic
2023-12-10T15:25:17.526690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 5
 
2.5%
70 4
 
2.0%
152 4
 
2.0%
58 4
 
2.0%
52 4
 
2.0%
82 4
 
2.0%
63 4
 
2.0%
51 3
 
1.5%
59 3
 
1.5%
125 3
 
1.5%
Other values (121) 161
80.9%
ValueCountFrequency (%)
2 1
0.5%
13 1
0.5%
18 1
0.5%
19 1
0.5%
20 1
0.5%
30 1
0.5%
31 1
0.5%
33 1
0.5%
34 1
0.5%
35 2
1.0%
ValueCountFrequency (%)
584 1
0.5%
406 1
0.5%
392 1
0.5%
384 1
0.5%
370 1
0.5%
330 1
0.5%
325 1
0.5%
298 1
0.5%
296 1
0.5%
281 1
0.5%

120
Real number (ℝ)

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.30653
Minimum2
Maximum688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:17.789436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile38.8
Q164
median110
Q3185.5
95-th percentile316.4
Maximum688
Range686
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation104.08476
Coefficient of variation (CV)0.74716355
Kurtosis5.7810996
Mean139.30653
Median Absolute Deviation (MAD)51
Skewness1.9900763
Sum27722
Variance10833.638
MonotonicityNot monotonic
2023-12-10T15:25:18.044862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 5
 
2.5%
60 4
 
2.0%
122 3
 
1.5%
52 3
 
1.5%
95 3
 
1.5%
73 3
 
1.5%
110 3
 
1.5%
64 3
 
1.5%
84 3
 
1.5%
128 3
 
1.5%
Other values (126) 166
83.4%
ValueCountFrequency (%)
2 1
0.5%
14 2
1.0%
16 1
0.5%
25 1
0.5%
34 1
0.5%
35 1
0.5%
36 1
0.5%
37 2
1.0%
39 1
0.5%
45 2
1.0%
ValueCountFrequency (%)
688 1
0.5%
596 1
0.5%
491 1
0.5%
469 1
0.5%
454 1
0.5%
447 1
0.5%
385 1
0.5%
325 1
0.5%
323 1
0.5%
320 1
0.5%

19.7
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.547739
Minimum0
Maximum184
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:18.297379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111
median18
Q333.5
95-th percentile69
Maximum184
Range184
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation22.416545
Coefficient of variation (CV)0.87743755
Kurtosis12.814721
Mean25.547739
Median Absolute Deviation (MAD)9
Skewness2.7294673
Sum5084
Variance502.5015
MonotonicityNot monotonic
2023-12-10T15:25:18.541429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 12
 
6.0%
15 11
 
5.5%
8 10
 
5.0%
9 10
 
5.0%
12 9
 
4.5%
16 7
 
3.5%
18 7
 
3.5%
14 7
 
3.5%
19 6
 
3.0%
5 6
 
3.0%
Other values (49) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
5 6
3.0%
6 4
 
2.0%
7 4
 
2.0%
8 10
5.0%
9 10
5.0%
10 6
3.0%
11 12
6.0%
12 9
4.5%
ValueCountFrequency (%)
184 1
0.5%
107 1
0.5%
86 1
0.5%
85 1
0.5%
82 1
0.5%
81 1
0.5%
80 1
0.5%
76 1
0.5%
72 1
0.5%
69 2
1.0%

18.6
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.085427
Minimum0
Maximum102
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:18.859967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9
Q112
median18
Q331
95-th percentile57.1
Maximum102
Range102
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.894408
Coefficient of variation (CV)0.74295581
Kurtosis3.8754276
Mean24.085427
Median Absolute Deviation (MAD)8
Skewness1.7936613
Sum4793
Variance320.20984
MonotonicityNot monotonic
2023-12-10T15:25:19.122040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 12
 
6.0%
9 10
 
5.0%
11 10
 
5.0%
13 9
 
4.5%
8 8
 
4.0%
21 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
18 7
 
3.5%
22 7
 
3.5%
Other values (49) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
4 2
 
1.0%
5 3
 
1.5%
6 3
 
1.5%
7 4
 
2.0%
8 8
4.0%
9 10
5.0%
10 6
3.0%
11 10
5.0%
ValueCountFrequency (%)
102 1
0.5%
96 1
0.5%
90 1
0.5%
89 1
0.5%
74 1
0.5%
71 1
0.5%
69 1
0.5%
68 1
0.5%
67 1
0.5%
58 1
0.5%

22.5
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.864322
Minimum0
Maximum150
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:19.378151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q113
median21
Q334.5
95-th percentile64.3
Maximum150
Range150
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation21.665424
Coefficient of variation (CV)0.80647575
Kurtosis9.4968632
Mean26.864322
Median Absolute Deviation (MAD)10
Skewness2.6128823
Sum5346
Variance469.39059
MonotonicityNot monotonic
2023-12-10T15:25:19.677959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 12
 
6.0%
10 12
 
6.0%
17 12
 
6.0%
18 9
 
4.5%
21 8
 
4.0%
16 7
 
3.5%
9 7
 
3.5%
12 6
 
3.0%
24 6
 
3.0%
22 5
 
2.5%
Other values (52) 115
57.8%
ValueCountFrequency (%)
0 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 4
 
2.0%
7 1
 
0.5%
8 4
 
2.0%
9 7
3.5%
10 12
6.0%
11 4
 
2.0%
12 6
3.0%
ValueCountFrequency (%)
150 1
0.5%
131 1
0.5%
123 1
0.5%
96 1
0.5%
93 1
0.5%
91 1
0.5%
83 1
0.5%
81 1
0.5%
73 1
0.5%
67 1
0.5%

25.5
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.130653
Minimum0
Maximum150
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:19.923735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111
median17
Q325
95-th percentile48
Maximum150
Range150
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.324678
Coefficient of variation (CV)0.81988368
Kurtosis18.787522
Mean21.130653
Median Absolute Deviation (MAD)7
Skewness3.4556662
Sum4205
Variance300.14446
MonotonicityNot monotonic
2023-12-10T15:25:20.257803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 17
 
8.5%
11 12
 
6.0%
8 10
 
5.0%
19 9
 
4.5%
14 8
 
4.0%
18 8
 
4.0%
12 8
 
4.0%
23 8
 
4.0%
16 8
 
4.0%
13 8
 
4.0%
Other values (40) 103
51.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 4
 
2.0%
7 5
 
2.5%
8 10
5.0%
9 5
 
2.5%
10 17
8.5%
ValueCountFrequency (%)
150 1
0.5%
110 1
0.5%
84 1
0.5%
73 1
0.5%
65 1
0.5%
64 1
0.5%
59 1
0.5%
56 1
0.5%
51 1
0.5%
48 2
1.0%

34
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.628141
Minimum0
Maximum165
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:20.594536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median16
Q326
95-th percentile54
Maximum165
Range165
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.748533
Coefficient of variation (CV)0.90888138
Kurtosis17.885492
Mean20.628141
Median Absolute Deviation (MAD)8
Skewness3.1316358
Sum4105
Variance351.50749
MonotonicityNot monotonic
2023-12-10T15:25:21.313259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
7.0%
15 12
 
6.0%
11 9
 
4.5%
14 8
 
4.0%
18 8
 
4.0%
21 7
 
3.5%
16 7
 
3.5%
4 7
 
3.5%
13 7
 
3.5%
10 7
 
3.5%
Other values (45) 113
56.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 4
 
2.0%
3 4
 
2.0%
4 7
3.5%
5 14
7.0%
6 6
3.0%
7 5
 
2.5%
8 5
 
2.5%
9 4
 
2.0%
ValueCountFrequency (%)
165 1
0.5%
85 1
0.5%
84 1
0.5%
66 1
0.5%
63 1
0.5%
62 1
0.5%
61 1
0.5%
56 2
1.0%
54 2
1.0%
52 1
0.5%

87
Real number (ℝ)

Distinct146
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean191.93467
Minimum9
Maximum1179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:21.562940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile33
Q156.5
median115
Q3269.5
95-th percentile582.7
Maximum1179
Range1170
Interquartile range (IQR)213

Descriptive statistics

Standard deviation198.83111
Coefficient of variation (CV)1.0359311
Kurtosis4.8359443
Mean191.93467
Median Absolute Deviation (MAD)71
Skewness2.0195469
Sum38195
Variance39533.809
MonotonicityNot monotonic
2023-12-10T15:25:21.876401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 6
 
3.0%
41 5
 
2.5%
40 4
 
2.0%
52 3
 
1.5%
46 3
 
1.5%
80 3
 
1.5%
75 3
 
1.5%
39 3
 
1.5%
65 3
 
1.5%
108 3
 
1.5%
Other values (136) 163
81.9%
ValueCountFrequency (%)
9 1
0.5%
10 1
0.5%
24 2
1.0%
26 2
1.0%
27 1
0.5%
28 1
0.5%
32 1
0.5%
33 2
1.0%
35 1
0.5%
36 2
1.0%
ValueCountFrequency (%)
1179 1
0.5%
1009 1
0.5%
928 1
0.5%
792 1
0.5%
734 1
0.5%
705 1
0.5%
703 1
0.5%
658 1
0.5%
639 1
0.5%
607 1
0.5%

17.7
Real number (ℝ)

Distinct80
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.060302
Minimum1
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:22.124801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median22
Q342.5
95-th percentile109.3
Maximum167
Range166
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation33.232368
Coefficient of variation (CV)0.97569213
Kurtosis3.3372687
Mean34.060302
Median Absolute Deviation (MAD)12
Skewness1.8890024
Sum6778
Variance1104.3903
MonotonicityNot monotonic
2023-12-10T15:25:22.368368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 9
 
4.5%
10 9
 
4.5%
11 8
 
4.0%
14 8
 
4.0%
13 7
 
3.5%
15 7
 
3.5%
12 7
 
3.5%
18 7
 
3.5%
23 6
 
3.0%
7 6
 
3.0%
Other values (70) 125
62.8%
ValueCountFrequency (%)
1 1
 
0.5%
3 2
 
1.0%
5 1
 
0.5%
6 4
2.0%
7 6
3.0%
8 5
2.5%
9 9
4.5%
10 9
4.5%
11 8
4.0%
12 7
3.5%
ValueCountFrequency (%)
167 1
0.5%
157 1
0.5%
156 1
0.5%
141 1
0.5%
134 1
0.5%
130 1
0.5%
124 1
0.5%
120 1
0.5%
115 1
0.5%
112 1
0.5%

17.8
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.241206
Minimum0
Maximum122
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:22.641994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9
Q112
median18
Q332.5
95-th percentile68.4
Maximum122
Range122
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation21.714914
Coefficient of variation (CV)0.82751204
Kurtosis4.8332687
Mean26.241206
Median Absolute Deviation (MAD)9
Skewness1.9829429
Sum5222
Variance471.53749
MonotonicityNot monotonic
2023-12-10T15:25:22.901561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 9
 
4.5%
10 9
 
4.5%
13 9
 
4.5%
9 9
 
4.5%
27 8
 
4.0%
18 8
 
4.0%
7 7
 
3.5%
15 7
 
3.5%
16 7
 
3.5%
8 7
 
3.5%
Other values (55) 119
59.8%
ValueCountFrequency (%)
0 1
 
0.5%
3 3
 
1.5%
5 3
 
1.5%
6 3
 
1.5%
7 7
3.5%
8 7
3.5%
9 9
4.5%
10 9
4.5%
11 6
3.0%
12 9
4.5%
ValueCountFrequency (%)
122 1
0.5%
121 1
0.5%
119 1
0.5%
91 1
0.5%
90 1
0.5%
83 1
0.5%
80 1
0.5%
79 1
0.5%
76 1
0.5%
72 1
0.5%

22.6
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.748744
Minimum1
Maximum285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:23.127340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q113.5
median21
Q339
95-th percentile84.2
Maximum285
Range284
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation31.114114
Coefficient of variation (CV)1.0118824
Kurtosis24.455567
Mean30.748744
Median Absolute Deviation (MAD)11
Skewness3.9615379
Sum6119
Variance968.08807
MonotonicityNot monotonic
2023-12-10T15:25:23.357874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 11
 
5.5%
9 10
 
5.0%
15 9
 
4.5%
10 9
 
4.5%
12 8
 
4.0%
18 7
 
3.5%
8 7
 
3.5%
17 6
 
3.0%
20 6
 
3.0%
34 5
 
2.5%
Other values (60) 121
60.8%
ValueCountFrequency (%)
1 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 3
 
1.5%
7 2
 
1.0%
8 7
3.5%
9 10
5.0%
10 9
4.5%
11 4
 
2.0%
ValueCountFrequency (%)
285 1
0.5%
156 1
0.5%
149 1
0.5%
138 1
0.5%
125 1
0.5%
105 1
0.5%
90 2
1.0%
88 1
0.5%
86 1
0.5%
84 1
0.5%

25.6
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.929648
Minimum0
Maximum174
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:23.628469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median19
Q330
95-th percentile54.4
Maximum174
Range174
Interquartile range (IQR)19

Descriptive statistics

Standard deviation20.343889
Coefficient of variation (CV)0.85015411
Kurtosis17.643621
Mean23.929648
Median Absolute Deviation (MAD)8
Skewness3.3519556
Sum4762
Variance413.87381
MonotonicityNot monotonic
2023-12-10T15:25:23.883735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 19
 
9.5%
19 10
 
5.0%
14 9
 
4.5%
13 9
 
4.5%
22 8
 
4.0%
8 8
 
4.0%
10 7
 
3.5%
23 7
 
3.5%
12 6
 
3.0%
7 6
 
3.0%
Other values (50) 110
55.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
5 1
 
0.5%
6 2
 
1.0%
7 6
 
3.0%
8 8
4.0%
9 5
 
2.5%
10 7
 
3.5%
11 19
9.5%
ValueCountFrequency (%)
174 1
0.5%
116 1
0.5%
109 1
0.5%
84 1
0.5%
80 1
0.5%
76 1
0.5%
69 1
0.5%
65 1
0.5%
61 1
0.5%
58 1
0.5%

40
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.015075
Minimum0
Maximum202
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:24.157824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q111
median19
Q332
95-th percentile64
Maximum202
Range202
Interquartile range (IQR)21

Descriptive statistics

Standard deviation22.783672
Coefficient of variation (CV)0.91079767
Kurtosis18.671193
Mean25.015075
Median Absolute Deviation (MAD)10
Skewness3.2085343
Sum4978
Variance519.09573
MonotonicityNot monotonic
2023-12-10T15:25:24.435270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 9
 
4.5%
18 9
 
4.5%
21 9
 
4.5%
13 8
 
4.0%
6 8
 
4.0%
20 7
 
3.5%
5 7
 
3.5%
12 7
 
3.5%
3 6
 
3.0%
19 6
 
3.0%
Other values (48) 123
61.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
3 6
3.0%
4 5
2.5%
5 7
3.5%
6 8
4.0%
7 5
2.5%
8 4
2.0%
9 2
 
1.0%
10 5
2.5%
ValueCountFrequency (%)
202 1
0.5%
107 1
0.5%
103 1
0.5%
77 2
1.0%
76 1
0.5%
75 1
0.5%
67 2
1.0%
64 2
1.0%
63 2
1.0%
61 1
0.5%

70.1
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.351759
Minimum8
Maximum559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:24.712843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile25.8
Q140.5
median64
Q3115
95-th percentile264
Maximum559
Range551
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation86.392555
Coefficient of variation (CV)0.92545182
Kurtosis8.2132836
Mean93.351759
Median Absolute Deviation (MAD)29
Skewness2.5621263
Sum18577
Variance7463.6736
MonotonicityNot monotonic
2023-12-10T15:25:24.973105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 6
 
3.0%
35 6
 
3.0%
48 5
 
2.5%
32 5
 
2.5%
41 4
 
2.0%
30 4
 
2.0%
74 4
 
2.0%
44 3
 
1.5%
29 3
 
1.5%
73 3
 
1.5%
Other values (108) 156
78.4%
ValueCountFrequency (%)
8 1
0.5%
12 1
0.5%
13 1
0.5%
18 2
1.0%
20 1
0.5%
21 2
1.0%
23 1
0.5%
24 1
0.5%
26 2
1.0%
27 1
0.5%
ValueCountFrequency (%)
559 1
0.5%
509 1
0.5%
454 1
0.5%
360 1
0.5%
342 1
0.5%
338 1
0.5%
330 1
0.5%
317 1
0.5%
311 1
0.5%
282 1
0.5%

70.2
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.72864
Minimum8
Maximum572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:25.206339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile27
Q142
median67
Q3127.5
95-th percentile347.4
Maximum572
Range564
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation99.130292
Coefficient of variation (CV)0.95566942
Kurtosis5.8198815
Mean103.72864
Median Absolute Deviation (MAD)31
Skewness2.3224159
Sum20642
Variance9826.8149
MonotonicityNot monotonic
2023-12-10T15:25:25.510850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 6
 
3.0%
37 5
 
2.5%
44 4
 
2.0%
34 4
 
2.0%
49 4
 
2.0%
61 4
 
2.0%
54 4
 
2.0%
33 4
 
2.0%
43 4
 
2.0%
119 3
 
1.5%
Other values (112) 157
78.9%
ValueCountFrequency (%)
8 1
 
0.5%
11 1
 
0.5%
14 1
 
0.5%
20 2
1.0%
21 2
1.0%
22 1
 
0.5%
23 1
 
0.5%
27 3
1.5%
28 1
 
0.5%
29 1
 
0.5%
ValueCountFrequency (%)
572 1
0.5%
489 1
0.5%
481 1
0.5%
478 1
0.5%
411 1
0.5%
405 1
0.5%
404 1
0.5%
390 1
0.5%
384 1
0.5%
360 1
0.5%

11.18
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.738693
Minimum1
Maximum276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:25.752233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q323
95-th percentile83.1
Maximum276
Range275
Interquartile range (IQR)16

Descriptive statistics

Standard deviation33.494942
Coefficient of variation (CV)1.4730372
Kurtosis29.961364
Mean22.738693
Median Absolute Deviation (MAD)6
Skewness4.7831321
Sum4525
Variance1121.9112
MonotonicityNot monotonic
2023-12-10T15:25:25.993065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 17
 
8.5%
5 15
 
7.5%
7 14
 
7.0%
6 13
 
6.5%
11 13
 
6.5%
15 8
 
4.0%
10 8
 
4.0%
22 8
 
4.0%
4 8
 
4.0%
8 8
 
4.0%
Other values (47) 87
43.7%
ValueCountFrequency (%)
1 1
 
0.5%
3 4
 
2.0%
4 8
4.0%
5 15
7.5%
6 13
6.5%
7 14
7.0%
8 8
4.0%
9 17
8.5%
10 8
4.0%
11 13
6.5%
ValueCountFrequency (%)
276 1
0.5%
265 1
0.5%
127 1
0.5%
119 1
0.5%
108 1
0.5%
100 1
0.5%
96 1
0.5%
94 1
0.5%
84 2
1.0%
83 1
0.5%

11.19
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.78392
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:26.233115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median12
Q323
95-th percentile52.4
Maximum110
Range109
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.495701
Coefficient of variation (CV)0.93141905
Kurtosis5.9905067
Mean18.78392
Median Absolute Deviation (MAD)6
Skewness2.228047
Sum3738
Variance306.09954
MonotonicityNot monotonic
2023-12-10T15:25:26.891826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 15
 
7.5%
7 13
 
6.5%
5 13
 
6.5%
10 12
 
6.0%
6 11
 
5.5%
8 9
 
4.5%
12 9
 
4.5%
13 9
 
4.5%
11 9
 
4.5%
16 7
 
3.5%
Other values (43) 92
46.2%
ValueCountFrequency (%)
1 1
 
0.5%
3 4
 
2.0%
4 6
 
3.0%
5 13
6.5%
6 11
5.5%
7 13
6.5%
8 9
4.5%
9 15
7.5%
10 12
6.0%
11 9
4.5%
ValueCountFrequency (%)
110 1
0.5%
92 1
0.5%
81 1
0.5%
77 1
0.5%
72 1
0.5%
68 1
0.5%
67 1
0.5%
60 1
0.5%
59 1
0.5%
56 1
0.5%

13.14
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.19598
Minimum2
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:27.147949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median14
Q324.5
95-th percentile64.2
Maximum166
Range164
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation21.685232
Coefficient of variation (CV)1.0230823
Kurtosis11.756125
Mean21.19598
Median Absolute Deviation (MAD)7
Skewness2.8806868
Sum4218
Variance470.24928
MonotonicityNot monotonic
2023-12-10T15:25:27.422532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
7.5%
6 13
 
6.5%
8 12
 
6.0%
7 12
 
6.0%
5 9
 
4.5%
11 8
 
4.0%
22 8
 
4.0%
14 8
 
4.0%
9 7
 
3.5%
13 7
 
3.5%
Other values (47) 100
50.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 4
 
2.0%
5 9
4.5%
6 13
6.5%
7 12
6.0%
8 12
6.0%
9 7
3.5%
10 15
7.5%
11 8
4.0%
ValueCountFrequency (%)
166 1
0.5%
106 1
0.5%
98 1
0.5%
91 1
0.5%
81 2
1.0%
77 1
0.5%
76 1
0.5%
74 1
0.5%
66 1
0.5%
64 1
0.5%

220183
Real number (ℝ)

Distinct195
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142585.3
Minimum2879
Maximum365065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:27.667320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2879
5-th percentile14760.6
Q116664
median151823
Q3264989.5
95-th percentile355477.5
Maximum365065
Range362186
Interquartile range (IQR)248325.5

Descriptive statistics

Standard deviation124721.86
Coefficient of variation (CV)0.8747175
Kurtosis-1.5651713
Mean142585.3
Median Absolute Deviation (MAD)123740
Skewness0.21969302
Sum28374475
Variance1.5555542 × 1010
MonotonicityNot monotonic
2023-12-10T15:25:27.946245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16337 4
 
2.0%
16485 2
 
1.0%
24536 1
 
0.5%
33698 1
 
0.5%
15897 1
 
0.5%
17189 1
 
0.5%
271854 1
 
0.5%
31547 1
 
0.5%
13763 1
 
0.5%
16894 1
 
0.5%
Other values (185) 185
93.0%
ValueCountFrequency (%)
2879 1
0.5%
9638 1
0.5%
10186 1
0.5%
13755 1
0.5%
13763 1
0.5%
13781 1
0.5%
14521 1
0.5%
14576 1
0.5%
14707 1
0.5%
14730 1
0.5%
ValueCountFrequency (%)
365065 1
0.5%
365064 1
0.5%
364059 1
0.5%
360983 1
0.5%
360921 1
0.5%
359000 1
0.5%
358404 1
0.5%
355883 1
0.5%
355861 1
0.5%
355860 1
0.5%

239
Real number (ℝ)

Distinct153
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.10553
Minimum4
Maximum1272
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:28.188527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile77.5
Q1125
median206
Q3342
95-th percentile594.3
Maximum1272
Range1268
Interquartile range (IQR)217

Descriptive statistics

Standard deviation184.08717
Coefficient of variation (CV)0.71322442
Kurtosis5.9470673
Mean258.10553
Median Absolute Deviation (MAD)93
Skewness1.9684369
Sum51363
Variance33888.085
MonotonicityNot monotonic
2023-12-10T15:25:28.429839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
122 4
 
2.0%
242 3
 
1.5%
219 3
 
1.5%
229 3
 
1.5%
113 3
 
1.5%
254 3
 
1.5%
155 3
 
1.5%
90 3
 
1.5%
218 3
 
1.5%
112 3
 
1.5%
Other values (143) 168
84.4%
ValueCountFrequency (%)
4 1
0.5%
27 1
0.5%
34 2
1.0%
44 1
0.5%
65 2
1.0%
70 1
0.5%
72 1
0.5%
73 1
0.5%
78 1
0.5%
82 1
0.5%
ValueCountFrequency (%)
1272 1
0.5%
988 1
0.5%
875 2
1.0%
824 1
0.5%
777 1
0.5%
621 1
0.5%
618 1
0.5%
603 1
0.5%
597 1
0.5%
594 1
0.5%

15.17
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.592965
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:28.686903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q320
95-th percentile44
Maximum182
Range181
Interquartile range (IQR)13

Descriptive statistics

Standard deviation17.732301
Coefficient of variation (CV)1.0686638
Kurtosis38.872736
Mean16.592965
Median Absolute Deviation (MAD)5
Skewness4.9699837
Sum3302
Variance314.4345
MonotonicityNot monotonic
2023-12-10T15:25:28.967607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
6 22
 
11.1%
11 16
 
8.0%
8 14
 
7.0%
7 13
 
6.5%
15 12
 
6.0%
5 10
 
5.0%
12 10
 
5.0%
9 10
 
5.0%
14 9
 
4.5%
24 6
 
3.0%
Other values (35) 77
38.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 6
 
3.0%
5 10
5.0%
6 22
11.1%
7 13
6.5%
8 14
7.0%
9 10
5.0%
10 4
 
2.0%
ValueCountFrequency (%)
182 1
0.5%
79 1
0.5%
70 1
0.5%
66 1
0.5%
64 1
0.5%
57 2
1.0%
56 1
0.5%
47 1
0.5%
44 2
1.0%
43 2
1.0%

20.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.758794
Minimum1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:29.262678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q318
95-th percentile33
Maximum97
Range96
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.418225
Coefficient of variation (CV)0.82988562
Kurtosis14.291496
Mean13.758794
Median Absolute Deviation (MAD)5
Skewness2.7734726
Sum2738
Variance130.37587
MonotonicityNot monotonic
2023-12-10T15:25:29.485374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
9 18
 
9.0%
4 14
 
7.0%
10 14
 
7.0%
6 13
 
6.5%
5 10
 
5.0%
8 10
 
5.0%
7 9
 
4.5%
12 9
 
4.5%
11 8
 
4.0%
13 7
 
3.5%
Other values (31) 87
43.7%
ValueCountFrequency (%)
1 5
 
2.5%
2 3
 
1.5%
3 7
 
3.5%
4 14
7.0%
5 10
5.0%
6 13
6.5%
7 9
4.5%
8 10
5.0%
9 18
9.0%
10 14
7.0%
ValueCountFrequency (%)
97 1
 
0.5%
52 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 2
1.0%
35 1
 
0.5%
33 3
1.5%
32 1
 
0.5%

10.13
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.40201
Minimum2
Maximum307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:29.764305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.9
Q18
median15
Q330
95-th percentile120.8
Maximum307
Range305
Interquartile range (IQR)22

Descriptive statistics

Standard deviation42.980371
Coefficient of variation (CV)1.4618174
Kurtosis13.918197
Mean29.40201
Median Absolute Deviation (MAD)9
Skewness3.4208847
Sum5851
Variance1847.3123
MonotonicityNot monotonic
2023-12-10T15:25:30.006260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
7.0%
8 13
 
6.5%
6 12
 
6.0%
9 11
 
5.5%
7 10
 
5.0%
10 9
 
4.5%
15 8
 
4.0%
11 6
 
3.0%
16 6
 
3.0%
4 5
 
2.5%
Other values (56) 105
52.8%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 5
 
2.5%
5 14
7.0%
6 12
6.0%
7 10
5.0%
8 13
6.5%
9 11
5.5%
10 9
4.5%
11 6
3.0%
ValueCountFrequency (%)
307 1
0.5%
225 1
0.5%
219 1
0.5%
201 1
0.5%
171 1
0.5%
165 1
0.5%
145 1
0.5%
140 1
0.5%
137 2
1.0%
119 1
0.5%

10.14
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.81407
Minimum2
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:30.242268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median12
Q323
95-th percentile59.3
Maximum141
Range139
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.598919
Coefficient of variation (CV)0.98856436
Kurtosis10.083095
Mean18.81407
Median Absolute Deviation (MAD)6
Skewness2.6131358
Sum3744
Variance345.9198
MonotonicityNot monotonic
2023-12-10T15:25:30.494201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 15
 
7.5%
7 13
 
6.5%
6 12
 
6.0%
9 11
 
5.5%
10 11
 
5.5%
5 11
 
5.5%
4 9
 
4.5%
12 8
 
4.0%
16 7
 
3.5%
11 7
 
3.5%
Other values (42) 95
47.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 9
4.5%
5 11
5.5%
6 12
6.0%
7 13
6.5%
8 15
7.5%
9 11
5.5%
10 11
5.5%
11 7
3.5%
ValueCountFrequency (%)
141 1
0.5%
78 1
0.5%
75 1
0.5%
71 1
0.5%
70 1
0.5%
69 1
0.5%
66 2
1.0%
64 1
0.5%
62 1
0.5%
59 2
1.0%

13.15
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.638191
Minimum2
Maximum263
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:30.762559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q327
95-th percentile82
Maximum263
Range261
Interquartile range (IQR)19

Descriptive statistics

Standard deviation27.402347
Coefficient of variation (CV)1.2104477
Kurtosis30.543386
Mean22.638191
Median Absolute Deviation (MAD)7
Skewness4.3982669
Sum4505
Variance750.88864
MonotonicityNot monotonic
2023-12-10T15:25:31.027918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 15
 
7.5%
10 14
 
7.0%
9 12
 
6.0%
7 11
 
5.5%
8 10
 
5.0%
12 10
 
5.0%
16 9
 
4.5%
6 9
 
4.5%
13 7
 
3.5%
20 6
 
3.0%
Other values (46) 96
48.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 4
 
2.0%
5 15
7.5%
6 9
4.5%
7 11
5.5%
8 10
5.0%
9 12
6.0%
10 14
7.0%
11 6
 
3.0%
ValueCountFrequency (%)
263 1
 
0.5%
124 1
 
0.5%
92 1
 
0.5%
89 2
1.0%
88 3
1.5%
87 1
 
0.5%
82 2
1.0%
80 1
 
0.5%
74 1
 
0.5%
65 1
 
0.5%

14.8
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.417085
Minimum1
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:31.287126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q17
median11
Q321
95-th percentile45.5
Maximum180
Range179
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.442702
Coefficient of variation (CV)1.0588856
Kurtosis31.178516
Mean17.417085
Median Absolute Deviation (MAD)5
Skewness4.4033078
Sum3466
Variance340.13324
MonotonicityNot monotonic
2023-12-10T15:25:31.586811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 19
 
9.5%
7 15
 
7.5%
8 12
 
6.0%
11 12
 
6.0%
10 12
 
6.0%
5 11
 
5.5%
9 10
 
5.0%
13 9
 
4.5%
15 8
 
4.0%
12 7
 
3.5%
Other values (40) 84
42.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%
4 6
 
3.0%
5 11
5.5%
6 19
9.5%
7 15
7.5%
8 12
6.0%
9 10
5.0%
10 12
6.0%
ValueCountFrequency (%)
180 1
0.5%
85 1
0.5%
71 1
0.5%
68 1
0.5%
66 1
0.5%
65 1
0.5%
64 1
0.5%
57 1
0.5%
56 1
0.5%
50 1
0.5%

24.4
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.733668
Minimum1
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:31.841696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q17
median12
Q321
95-th percentile39.1
Maximum119
Range118
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.593463
Coefficient of variation (CV)0.86397292
Kurtosis16.827239
Mean15.733668
Median Absolute Deviation (MAD)6
Skewness2.9989262
Sum3131
Variance184.78224
MonotonicityNot monotonic
2023-12-10T15:25:32.093391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
9 12
 
6.0%
11 12
 
6.0%
12 12
 
6.0%
6 11
 
5.5%
10 11
 
5.5%
3 11
 
5.5%
5 9
 
4.5%
7 9
 
4.5%
23 7
 
3.5%
13 6
 
3.0%
Other values (34) 99
49.7%
ValueCountFrequency (%)
1 4
 
2.0%
2 6
3.0%
3 11
5.5%
4 4
 
2.0%
5 9
4.5%
6 11
5.5%
7 9
4.5%
8 6
3.0%
9 12
6.0%
10 11
5.5%
ValueCountFrequency (%)
119 1
0.5%
63 1
0.5%
60 1
0.5%
46 1
0.5%
45 2
1.0%
44 2
1.0%
42 1
0.5%
40 1
0.5%
39 1
0.5%
38 2
1.0%

77.3
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.859296
Minimum0
Maximum479
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:32.392283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q128.5
median47
Q374.5
95-th percentile141.2
Maximum479
Range479
Interquartile range (IQR)46

Descriptive statistics

Standard deviation50.029893
Coefficient of variation (CV)0.86468202
Kurtosis26.172446
Mean57.859296
Median Absolute Deviation (MAD)22
Skewness3.823137
Sum11514
Variance2502.9902
MonotonicityNot monotonic
2023-12-10T15:25:33.143126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 6
 
3.0%
33 6
 
3.0%
64 5
 
2.5%
22 5
 
2.5%
8 5
 
2.5%
19 4
 
2.0%
39 4
 
2.0%
61 4
 
2.0%
53 4
 
2.0%
5 4
 
2.0%
Other values (90) 152
76.4%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
5 4
2.0%
8 5
2.5%
9 1
 
0.5%
10 2
 
1.0%
11 1
 
0.5%
12 2
 
1.0%
13 3
1.5%
ValueCountFrequency (%)
479 1
0.5%
275 1
0.5%
183 2
1.0%
164 1
0.5%
163 1
0.5%
160 1
0.5%
158 1
0.5%
150 1
0.5%
143 1
0.5%
141 1
0.5%

77.4
Real number (ℝ)

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.060302
Minimum0
Maximum324
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:33.402868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q126.5
median43
Q371.5
95-th percentile143.2
Maximum324
Range324
Interquartile range (IQR)45

Descriptive statistics

Standard deviation45.196388
Coefficient of variation (CV)0.82085254
Kurtosis8.6695728
Mean55.060302
Median Absolute Deviation (MAD)21
Skewness2.3177306
Sum10957
Variance2042.7135
MonotonicityNot monotonic
2023-12-10T15:25:33.657027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 6
 
3.0%
37 6
 
3.0%
56 5
 
2.5%
42 5
 
2.5%
22 5
 
2.5%
40 4
 
2.0%
47 4
 
2.0%
49 4
 
2.0%
4 4
 
2.0%
43 4
 
2.0%
Other values (93) 152
76.4%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 4
2.0%
6 2
1.0%
7 3
1.5%
8 1
 
0.5%
9 1
 
0.5%
10 2
1.0%
11 1
 
0.5%
ValueCountFrequency (%)
324 1
0.5%
271 1
0.5%
216 1
0.5%
170 2
1.0%
169 1
0.5%
168 1
0.5%
151 1
0.5%
146 1
0.5%
145 1
0.5%
143 1
0.5%

12.16
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.507538
Minimum0
Maximum221
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:33.889197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15.5
median9
Q315
95-th percentile39
Maximum221
Range221
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation19.117095
Coefficient of variation (CV)1.4152909
Kurtosis72.269122
Mean13.507538
Median Absolute Deviation (MAD)4
Skewness7.2732272
Sum2688
Variance365.46333
MonotonicityNot monotonic
2023-12-10T15:25:34.111718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 18
 
9.0%
7 17
 
8.5%
5 17
 
8.5%
8 13
 
6.5%
10 10
 
5.0%
3 9
 
4.5%
4 9
 
4.5%
9 9
 
4.5%
12 9
 
4.5%
11 9
 
4.5%
Other values (32) 79
39.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 7
 
3.5%
2 6
 
3.0%
3 9
4.5%
4 9
4.5%
5 17
8.5%
6 18
9.0%
7 17
8.5%
8 13
6.5%
9 9
4.5%
ValueCountFrequency (%)
221 1
0.5%
104 1
0.5%
53 1
0.5%
51 1
0.5%
48 2
1.0%
42 1
0.5%
41 1
0.5%
40 1
0.5%
39 2
1.0%
37 1
0.5%

140
Real number (ℝ)

Distinct149
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.0804
Minimum16
Maximum1040
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:34.376135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile52.8
Q183.5
median129
Q3243.5
95-th percentile608.7
Maximum1040
Range1024
Interquartile range (IQR)160

Descriptive statistics

Standard deviation183.85568
Coefficient of variation (CV)0.93289684
Kurtosis6.3504091
Mean197.0804
Median Absolute Deviation (MAD)58
Skewness2.3676614
Sum39219
Variance33802.913
MonotonicityNot monotonic
2023-12-10T15:25:34.721608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 5
 
2.5%
66 5
 
2.5%
145 4
 
2.0%
88 3
 
1.5%
84 3
 
1.5%
121 3
 
1.5%
104 3
 
1.5%
112 3
 
1.5%
91 3
 
1.5%
261 2
 
1.0%
Other values (139) 165
82.9%
ValueCountFrequency (%)
16 1
0.5%
24 1
0.5%
26 1
0.5%
38 2
1.0%
41 1
0.5%
42 1
0.5%
43 1
0.5%
46 1
0.5%
51 1
0.5%
53 2
1.0%
ValueCountFrequency (%)
1040 1
0.5%
1026 1
0.5%
987 1
0.5%
819 1
0.5%
771 1
0.5%
746 1
0.5%
716 1
0.5%
707 1
0.5%
642 1
0.5%
615 1
0.5%

12.17
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.20603
Minimum0
Maximum98
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:34.975191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q312.5
95-th percentile27
Maximum98
Range98
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation9.4426907
Coefficient of variation (CV)0.92520702
Kurtosis37.578312
Mean10.20603
Median Absolute Deviation (MAD)4
Skewness4.6442848
Sum2031
Variance89.164408
MonotonicityNot monotonic
2023-12-10T15:25:35.245301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4 18
 
9.0%
7 18
 
9.0%
11 15
 
7.5%
6 15
 
7.5%
5 14
 
7.0%
10 12
 
6.0%
9 10
 
5.0%
8 10
 
5.0%
2 10
 
5.0%
3 9
 
4.5%
Other values (22) 68
34.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 6
 
3.0%
2 10
5.0%
3 9
4.5%
4 18
9.0%
5 14
7.0%
6 15
7.5%
7 18
9.0%
8 10
5.0%
9 10
5.0%
ValueCountFrequency (%)
98 1
 
0.5%
42 1
 
0.5%
33 1
 
0.5%
30 3
1.5%
29 1
 
0.5%
28 1
 
0.5%
27 3
1.5%
24 2
1.0%
23 1
 
0.5%
22 2
1.0%

14.9
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.994975
Minimum0
Maximum72
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:35.498720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q315
95-th percentile29.1
Maximum72
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.107752
Coefficient of variation (CV)0.8426655
Kurtosis10.056783
Mean11.994975
Median Absolute Deviation (MAD)4
Skewness2.5546959
Sum2387
Variance102.16664
MonotonicityNot monotonic
2023-12-10T15:25:35.815153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8 18
 
9.0%
6 17
 
8.5%
11 16
 
8.0%
7 16
 
8.0%
2 10
 
5.0%
10 9
 
4.5%
4 9
 
4.5%
15 8
 
4.0%
14 8
 
4.0%
9 8
 
4.0%
Other values (28) 80
40.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 7
 
3.5%
2 10
5.0%
3 7
 
3.5%
4 9
4.5%
5 7
 
3.5%
6 17
8.5%
7 16
8.0%
8 18
9.0%
9 8
4.0%
ValueCountFrequency (%)
72 1
 
0.5%
62 1
 
0.5%
58 1
 
0.5%
38 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
31 2
1.0%
30 1
 
0.5%
29 3
1.5%

16.8
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.869347
Minimum0
Maximum93
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:36.090093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q313
95-th percentile27
Maximum93
Range93
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.038965
Coefficient of variation (CV)0.92360337
Kurtosis23.825967
Mean10.869347
Median Absolute Deviation (MAD)4
Skewness3.715702
Sum2163
Variance100.78082
MonotonicityNot monotonic
2023-12-10T15:25:36.335096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 20
 
10.1%
7 20
 
10.1%
9 11
 
5.5%
11 11
 
5.5%
4 11
 
5.5%
13 11
 
5.5%
2 11
 
5.5%
12 10
 
5.0%
8 10
 
5.0%
1 10
 
5.0%
Other values (24) 74
37.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 10
5.0%
2 11
5.5%
3 8
 
4.0%
4 11
5.5%
5 9
4.5%
6 20
10.1%
7 20
10.1%
8 10
5.0%
9 11
5.5%
ValueCountFrequency (%)
93 1
 
0.5%
52 1
 
0.5%
49 1
 
0.5%
39 1
 
0.5%
31 1
 
0.5%
30 1
 
0.5%
29 2
1.0%
27 3
1.5%
26 1
 
0.5%
25 2
1.0%

22.7
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.964824
Minimum0
Maximum78
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:36.567483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q315
95-th percentile30.1
Maximum78
Range78
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.144102
Coefficient of variation (CV)0.9251495
Kurtosis9.892525
Mean10.964824
Median Absolute Deviation (MAD)5
Skewness2.359463
Sum2182
Variance102.9028
MonotonicityNot monotonic
2023-12-10T15:25:36.831909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 17
 
8.5%
6 14
 
7.0%
9 12
 
6.0%
2 12
 
6.0%
7 12
 
6.0%
11 10
 
5.0%
4 10
 
5.0%
5 9
 
4.5%
3 9
 
4.5%
10 9
 
4.5%
Other values (25) 85
42.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 17
8.5%
2 12
6.0%
3 9
4.5%
4 10
5.0%
5 9
4.5%
6 14
7.0%
7 12
6.0%
8 8
4.0%
9 12
6.0%
ValueCountFrequency (%)
78 1
 
0.5%
45 1
 
0.5%
40 3
1.5%
38 1
 
0.5%
35 1
 
0.5%
33 2
1.0%
31 1
 
0.5%
30 1
 
0.5%
29 2
1.0%
28 1
 
0.5%

11.20
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.271357
Minimum0
Maximum139
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:37.059868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median9
Q316
95-th percentile28.1
Maximum139
Range139
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.375567
Coefficient of variation (CV)1.0899827
Kurtosis44.219962
Mean12.271357
Median Absolute Deviation (MAD)4
Skewness5.4485996
Sum2442
Variance178.90579
MonotonicityNot monotonic
2023-12-10T15:25:37.262307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 20
 
10.1%
5 15
 
7.5%
8 14
 
7.0%
7 13
 
6.5%
9 13
 
6.5%
11 12
 
6.0%
4 11
 
5.5%
10 9
 
4.5%
1 9
 
4.5%
16 7
 
3.5%
Other values (29) 76
38.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 9
4.5%
2 4
 
2.0%
3 6
 
3.0%
4 11
5.5%
5 15
7.5%
6 20
10.1%
7 13
6.5%
8 14
7.0%
9 13
6.5%
ValueCountFrequency (%)
139 1
0.5%
84 1
0.5%
54 1
0.5%
46 1
0.5%
35 1
0.5%
34 1
0.5%
33 1
0.5%
32 1
0.5%
30 1
0.5%
29 1
0.5%

11.21
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4020101
Minimum0
Maximum56
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:37.460655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q312
95-th percentile26.3
Maximum56
Range56
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.1797481
Coefficient of variation (CV)0.86999993
Kurtosis6.0722799
Mean9.4020101
Median Absolute Deviation (MAD)4
Skewness2.0603494
Sum1871
Variance66.908279
MonotonicityNot monotonic
2023-12-10T15:25:37.758244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5 19
 
9.5%
6 17
 
8.5%
2 15
 
7.5%
3 15
 
7.5%
4 14
 
7.0%
7 14
 
7.0%
8 13
 
6.5%
11 12
 
6.0%
1 10
 
5.0%
10 9
 
4.5%
Other values (21) 61
30.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 10
5.0%
2 15
7.5%
3 15
7.5%
4 14
7.0%
5 19
9.5%
6 17
8.5%
7 14
7.0%
8 13
6.5%
9 7
 
3.5%
ValueCountFrequency (%)
56 1
 
0.5%
38 1
 
0.5%
36 1
 
0.5%
31 3
1.5%
30 2
1.0%
29 2
1.0%
26 2
1.0%
25 1
 
0.5%
24 1
 
0.5%
23 3
1.5%

14.10
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.562814
Minimum0
Maximum96
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:37.991392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q313.5
95-th percentile31.3
Maximum96
Range96
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation11.527956
Coefficient of variation (CV)0.9969853
Kurtosis17.908136
Mean11.562814
Median Absolute Deviation (MAD)4
Skewness3.3394373
Sum2301
Variance132.89376
MonotonicityNot monotonic
2023-12-10T15:25:38.246056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 15
 
7.5%
5 15
 
7.5%
8 14
 
7.0%
3 13
 
6.5%
6 13
 
6.5%
10 12
 
6.0%
1 11
 
5.5%
4 11
 
5.5%
9 10
 
5.0%
12 9
 
4.5%
Other values (26) 76
38.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 11
5.5%
2 8
4.0%
3 13
6.5%
4 11
5.5%
5 15
7.5%
6 13
6.5%
7 15
7.5%
8 14
7.0%
9 10
5.0%
ValueCountFrequency (%)
96 1
0.5%
74 1
0.5%
40 2
1.0%
39 1
0.5%
38 2
1.0%
36 2
1.0%
34 1
0.5%
31 1
0.5%
29 2
1.0%
28 2
1.0%

16.9
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.266332
Minimum0
Maximum83
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:38.541794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14.5
median8
Q313
95-th percentile26.3
Maximum83
Range83
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation9.6076791
Coefficient of variation (CV)0.93584343
Kurtosis18.161137
Mean10.266332
Median Absolute Deviation (MAD)4
Skewness3.2427678
Sum2043
Variance92.307497
MonotonicityNot monotonic
2023-12-10T15:25:38.784491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 22
 
11.1%
1 15
 
7.5%
5 14
 
7.0%
4 12
 
6.0%
6 12
 
6.0%
12 12
 
6.0%
3 10
 
5.0%
8 10
 
5.0%
2 10
 
5.0%
11 8
 
4.0%
Other values (26) 74
37.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 15
7.5%
2 10
5.0%
3 10
5.0%
4 12
6.0%
5 14
7.0%
6 12
6.0%
7 22
11.1%
8 10
5.0%
9 8
 
4.0%
ValueCountFrequency (%)
83 1
0.5%
55 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%
33 2
1.0%
31 1
0.5%
30 1
0.5%
29 1
0.5%
26 1
0.5%

26.6
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.954774
Minimum0
Maximum95
Zeros9
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:39.070582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median9
Q316.5
95-th percentile34.4
Maximum95
Range95
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation12.446368
Coefficient of variation (CV)1.0411212
Kurtosis10.383435
Mean11.954774
Median Absolute Deviation (MAD)7
Skewness2.4482138
Sum2379
Variance154.91209
MonotonicityNot monotonic
2023-12-10T15:25:39.293084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 22
 
11.1%
2 15
 
7.5%
3 13
 
6.5%
9 12
 
6.0%
8 10
 
5.0%
0 9
 
4.5%
13 9
 
4.5%
6 8
 
4.0%
7 8
 
4.0%
16 8
 
4.0%
Other values (31) 85
42.7%
ValueCountFrequency (%)
0 9
4.5%
1 22
11.1%
2 15
7.5%
3 13
6.5%
4 7
 
3.5%
5 4
 
2.0%
6 8
 
4.0%
7 8
 
4.0%
8 10
5.0%
9 12
6.0%
ValueCountFrequency (%)
95 1
0.5%
55 1
0.5%
50 1
0.5%
49 1
0.5%
47 1
0.5%
42 1
0.5%
41 1
0.5%
40 2
1.0%
38 1
0.5%
34 1
0.5%

35.4
Real number (ℝ)

Distinct79
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.648241
Minimum0
Maximum348
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:39.571569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q116
median25
Q343.5
95-th percentile108.1
Maximum348
Range348
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation37.132263
Coefficient of variation (CV)1.0132072
Kurtosis25.71792
Mean36.648241
Median Absolute Deviation (MAD)11
Skewness3.9550666
Sum7293
Variance1378.8049
MonotonicityNot monotonic
2023-12-10T15:25:39.810175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 10
 
5.0%
18 8
 
4.0%
19 8
 
4.0%
17 7
 
3.5%
16 6
 
3.0%
25 6
 
3.0%
14 6
 
3.0%
45 5
 
2.5%
10 5
 
2.5%
24 5
 
2.5%
Other values (69) 133
66.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 5
2.5%
7 2
 
1.0%
8 2
 
1.0%
10 5
2.5%
ValueCountFrequency (%)
348 1
0.5%
164 1
0.5%
163 1
0.5%
155 1
0.5%
135 1
0.5%
126 1
0.5%
112 1
0.5%
111 1
0.5%
110 1
0.5%
109 1
0.5%

154.1
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.9196
Minimum0
Maximum750
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:40.476679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.9
Q156.5
median92
Q3142
95-th percentile271.8
Maximum750
Range750
Interquartile range (IQR)85.5

Descriptive statistics

Standard deviation93.007676
Coefficient of variation (CV)0.82366284
Kurtosis14.021648
Mean112.9196
Median Absolute Deviation (MAD)44
Skewness2.8558311
Sum22471
Variance8650.4278
MonotonicityNot monotonic
2023-12-10T15:25:40.706728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78 6
 
3.0%
110 4
 
2.0%
141 4
 
2.0%
109 4
 
2.0%
36 4
 
2.0%
192 4
 
2.0%
81 4
 
2.0%
44 4
 
2.0%
80 3
 
1.5%
72 3
 
1.5%
Other values (117) 159
79.9%
ValueCountFrequency (%)
0 1
 
0.5%
5 2
1.0%
9 2
1.0%
11 2
1.0%
12 1
 
0.5%
13 1
 
0.5%
16 1
 
0.5%
17 3
1.5%
18 2
1.0%
23 1
 
0.5%
ValueCountFrequency (%)
750 1
0.5%
599 1
0.5%
399 1
0.5%
334 1
0.5%
328 2
1.0%
318 1
0.5%
312 1
0.5%
292 1
0.5%
279 1
0.5%
271 1
0.5%

35.5
Real number (ℝ)

Distinct80
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.577889
Minimum0
Maximum338
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:40.955065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117
median26
Q346
95-th percentile122.2
Maximum338
Range338
Interquartile range (IQR)29

Descriptive statistics

Standard deviation40.95369
Coefficient of variation (CV)1.0347619
Kurtosis16.54077
Mean39.577889
Median Absolute Deviation (MAD)13
Skewness3.3456808
Sum7876
Variance1677.2048
MonotonicityNot monotonic
2023-12-10T15:25:41.172603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 11
 
5.5%
18 11
 
5.5%
22 7
 
3.5%
24 7
 
3.5%
20 6
 
3.0%
15 6
 
3.0%
12 5
 
2.5%
14 5
 
2.5%
33 5
 
2.5%
41 5
 
2.5%
Other values (70) 131
65.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 5
2.5%
4 1
 
0.5%
6 3
1.5%
7 2
 
1.0%
8 2
 
1.0%
9 1
 
0.5%
10 3
1.5%
11 3
1.5%
ValueCountFrequency (%)
338 1
0.5%
212 1
0.5%
198 1
0.5%
163 1
0.5%
160 1
0.5%
155 1
0.5%
148 1
0.5%
138 1
0.5%
124 2
1.0%
122 1
0.5%

5.11
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0201005
Minimum0
Maximum132
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:41.408389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38.5
95-th percentile23
Maximum132
Range132
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation12.996487
Coefficient of variation (CV)1.6204893
Kurtosis50.351455
Mean8.0201005
Median Absolute Deviation (MAD)2
Skewness6.2499288
Sum1596
Variance168.90868
MonotonicityNot monotonic
2023-12-10T15:25:41.624975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 32
16.1%
4 26
13.1%
2 26
13.1%
5 19
9.5%
6 14
 
7.0%
1 11
 
5.5%
7 9
 
4.5%
8 8
 
4.0%
12 7
 
3.5%
9 7
 
3.5%
Other values (19) 40
20.1%
ValueCountFrequency (%)
0 4
 
2.0%
1 11
 
5.5%
2 26
13.1%
3 32
16.1%
4 26
13.1%
5 19
9.5%
6 14
7.0%
7 9
 
4.5%
8 8
 
4.0%
9 7
 
3.5%
ValueCountFrequency (%)
132 1
0.5%
92 1
0.5%
49 1
0.5%
40 2
1.0%
35 1
0.5%
33 1
0.5%
31 1
0.5%
29 1
0.5%
23 2
1.0%
22 1
0.5%

5.12
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.361809
Minimum0
Maximum82
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:41.946708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile22.1
Maximum82
Range82
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.4147387
Coefficient of variation (CV)1.1430259
Kurtosis32.096071
Mean7.361809
Median Absolute Deviation (MAD)2
Skewness4.5163244
Sum1465
Variance70.807827
MonotonicityNot monotonic
2023-12-10T15:25:42.213058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3 28
14.1%
4 26
13.1%
5 26
13.1%
2 23
11.6%
6 16
8.0%
7 12
 
6.0%
1 9
 
4.5%
8 8
 
4.0%
10 7
 
3.5%
19 5
 
2.5%
Other values (20) 39
19.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 9
 
4.5%
2 23
11.6%
3 28
14.1%
4 26
13.1%
5 26
13.1%
6 16
8.0%
7 12
6.0%
8 8
 
4.0%
9 5
 
2.5%
ValueCountFrequency (%)
82 1
0.5%
37 1
0.5%
35 1
0.5%
32 1
0.5%
29 1
0.5%
28 2
1.0%
26 1
0.5%
24 1
0.5%
23 1
0.5%
22 1
0.5%

7.23
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7939698
Minimum0
Maximum69
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:42.442259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile26.1
Maximum69
Range69
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.013766
Coefficient of variation (CV)1.1387083
Kurtosis14.378224
Mean8.7939698
Median Absolute Deviation (MAD)3
Skewness3.3740899
Sum1750
Variance100.27552
MonotonicityNot monotonic
2023-12-10T15:25:42.737311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 27
13.6%
4 26
13.1%
5 22
11.1%
6 17
 
8.5%
2 12
 
6.0%
7 11
 
5.5%
10 10
 
5.0%
1 9
 
4.5%
11 8
 
4.0%
9 8
 
4.0%
Other values (25) 49
24.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 9
 
4.5%
2 12
6.0%
3 27
13.6%
4 26
13.1%
5 22
11.1%
6 17
8.5%
7 11
5.5%
8 6
 
3.0%
9 8
 
4.0%
ValueCountFrequency (%)
69 1
0.5%
62 1
0.5%
61 1
0.5%
48 1
0.5%
42 1
0.5%
33 1
0.5%
30 1
0.5%
28 2
1.0%
27 1
0.5%
26 1
0.5%

7.24
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6331658
Minimum0
Maximum67
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:42.957486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile17
Maximum67
Range67
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.0732892
Coefficient of variation (CV)1.0663519
Kurtosis29.450449
Mean6.6331658
Median Absolute Deviation (MAD)2
Skewness4.3774687
Sum1320
Variance50.03142
MonotonicityNot monotonic
2023-12-10T15:25:43.173807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 37
18.6%
4 21
10.6%
2 21
10.6%
6 18
9.0%
5 18
9.0%
7 13
 
6.5%
1 12
 
6.0%
8 9
 
4.5%
9 8
 
4.0%
12 7
 
3.5%
Other values (16) 35
17.6%
ValueCountFrequency (%)
0 4
 
2.0%
1 12
 
6.0%
2 21
10.6%
3 37
18.6%
4 21
10.6%
5 18
9.0%
6 18
9.0%
7 13
 
6.5%
8 9
 
4.5%
9 8
 
4.0%
ValueCountFrequency (%)
67 1
 
0.5%
40 1
 
0.5%
34 1
 
0.5%
28 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
19 2
1.0%
18 1
 
0.5%
17 2
1.0%
16 3
1.5%

10.15
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7085427
Minimum0
Maximum35
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:43.467415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q38
95-th percentile14.1
Maximum35
Range35
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.7392065
Coefficient of variation (CV)0.8301955
Kurtosis8.8602508
Mean5.7085427
Median Absolute Deviation (MAD)2
Skewness2.2771088
Sum1136
Variance22.460078
MonotonicityNot monotonic
2023-12-10T15:25:43.685194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 28
14.1%
3 28
14.1%
1 20
10.1%
5 20
10.1%
2 17
8.5%
6 14
7.0%
7 14
7.0%
9 11
 
5.5%
8 10
 
5.0%
10 8
 
4.0%
Other values (12) 29
14.6%
ValueCountFrequency (%)
0 7
 
3.5%
1 20
10.1%
2 17
8.5%
3 28
14.1%
4 28
14.1%
5 20
10.1%
6 14
7.0%
7 14
7.0%
8 10
 
5.0%
9 11
 
5.5%
ValueCountFrequency (%)
35 1
 
0.5%
27 1
 
0.5%
20 1
 
0.5%
19 2
1.0%
18 1
 
0.5%
16 1
 
0.5%
15 3
1.5%
14 2
1.0%
13 3
1.5%
12 2
1.0%

5.13
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9547739
Minimum0
Maximum147
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:43.894053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile34.6
Maximum147
Range147
Interquartile range (IQR)6

Descriptive statistics

Standard deviation15.86792
Coefficient of variation (CV)1.594001
Kurtosis34.021528
Mean9.9547739
Median Absolute Deviation (MAD)3
Skewness5.04691
Sum1981
Variance251.79087
MonotonicityNot monotonic
2023-12-10T15:25:44.131499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 34
17.1%
5 24
12.1%
4 23
11.6%
2 18
 
9.0%
8 15
 
7.5%
7 9
 
4.5%
6 9
 
4.5%
1 9
 
4.5%
11 7
 
3.5%
9 6
 
3.0%
Other values (27) 45
22.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 9
 
4.5%
2 18
9.0%
3 34
17.1%
4 23
11.6%
5 24
12.1%
6 9
 
4.5%
7 9
 
4.5%
8 15
7.5%
9 6
 
3.0%
ValueCountFrequency (%)
147 1
0.5%
102 1
0.5%
62 1
0.5%
59 1
0.5%
53 1
0.5%
50 1
0.5%
49 1
0.5%
47 1
0.5%
45 1
0.5%
40 1
0.5%

5.14
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4572864
Minimum0
Maximum68
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:44.375159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile18.4
Maximum68
Range68
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.8149858
Coefficient of variation (CV)1.1820635
Kurtosis17.88928
Mean7.4572864
Median Absolute Deviation (MAD)2
Skewness3.7282092
Sum1484
Variance77.703974
MonotonicityNot monotonic
2023-12-10T15:25:44.608635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 30
15.1%
5 25
12.6%
4 24
12.1%
2 21
10.6%
6 20
10.1%
1 12
 
6.0%
9 10
 
5.0%
8 8
 
4.0%
14 6
 
3.0%
10 5
 
2.5%
Other values (19) 38
19.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 12
 
6.0%
2 21
10.6%
3 30
15.1%
4 24
12.1%
5 25
12.6%
6 20
10.1%
7 5
 
2.5%
8 8
 
4.0%
9 10
 
5.0%
ValueCountFrequency (%)
68 1
0.5%
53 1
0.5%
51 1
0.5%
40 1
0.5%
37 1
0.5%
33 1
0.5%
29 1
0.5%
26 1
0.5%
25 1
0.5%
22 1
0.5%

6.17
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1105528
Minimum0
Maximum93
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:44.827845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310
95-th percentile29.1
Maximum93
Range93
Interquartile range (IQR)7

Descriptive statistics

Standard deviation11.719268
Coefficient of variation (CV)1.28634
Kurtosis20.110307
Mean9.1105528
Median Absolute Deviation (MAD)3
Skewness3.940693
Sum1813
Variance137.34125
MonotonicityNot monotonic
2023-12-10T15:25:45.053959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 27
13.6%
4 22
11.1%
6 19
 
9.5%
5 18
 
9.0%
2 18
 
9.0%
8 13
 
6.5%
1 11
 
5.5%
7 8
 
4.0%
10 7
 
3.5%
9 7
 
3.5%
Other values (25) 49
24.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 11
5.5%
2 18
9.0%
3 27
13.6%
4 22
11.1%
5 18
9.0%
6 19
9.5%
7 8
 
4.0%
8 13
6.5%
9 7
 
3.5%
ValueCountFrequency (%)
93 1
0.5%
74 1
0.5%
62 1
0.5%
56 1
0.5%
41 1
0.5%
39 1
0.5%
37 1
0.5%
34 1
0.5%
30 2
1.0%
29 2
1.0%

7.25
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.6281407
Minimum0
Maximum60
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:45.273595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile18
Maximum60
Range60
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.8646667
Coefficient of variation (CV)1.0356851
Kurtosis21.306151
Mean6.6281407
Median Absolute Deviation (MAD)2
Skewness3.7427948
Sum1319
Variance47.123649
MonotonicityNot monotonic
2023-12-10T15:25:45.501951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 35
17.6%
2 23
11.6%
5 22
11.1%
4 21
10.6%
6 18
9.0%
1 10
 
5.0%
8 10
 
5.0%
9 9
 
4.5%
11 8
 
4.0%
7 8
 
4.0%
Other values (15) 35
17.6%
ValueCountFrequency (%)
0 5
 
2.5%
1 10
 
5.0%
2 23
11.6%
3 35
17.6%
4 21
10.6%
5 22
11.1%
6 18
9.0%
7 8
 
4.0%
8 10
 
5.0%
9 9
 
4.5%
ValueCountFrequency (%)
60 1
 
0.5%
40 1
 
0.5%
30 1
 
0.5%
28 1
 
0.5%
25 3
1.5%
19 2
1.0%
18 3
1.5%
17 1
 
0.5%
16 2
1.0%
15 1
 
0.5%

70.3
Real number (ℝ)

Distinct111
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.226131
Minimum0
Maximum686
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:45.733024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q133
median51
Q388
95-th percentile215.3
Maximum686
Range686
Interquartile range (IQR)55

Descriptive statistics

Standard deviation77.387156
Coefficient of variation (CV)1.0152313
Kurtosis20.721723
Mean76.226131
Median Absolute Deviation (MAD)24
Skewness3.6081557
Sum15169
Variance5988.7718
MonotonicityNot monotonic
2023-12-10T15:25:45.961859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 7
 
3.5%
33 7
 
3.5%
36 7
 
3.5%
50 5
 
2.5%
29 5
 
2.5%
42 4
 
2.0%
32 4
 
2.0%
47 4
 
2.0%
88 4
 
2.0%
12 3
 
1.5%
Other values (101) 149
74.9%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
5 2
1.0%
6 1
 
0.5%
8 2
1.0%
9 1
 
0.5%
12 3
1.5%
14 3
1.5%
16 1
 
0.5%
17 1
 
0.5%
ValueCountFrequency (%)
686 1
0.5%
361 1
0.5%
347 1
0.5%
324 1
0.5%
318 1
0.5%
274 1
0.5%
250 1
0.5%
232 1
0.5%
224 1
0.5%
218 1
0.5%

12.18
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5075377
Minimum0
Maximum44
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:46.174853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile18
Maximum44
Range44
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.658523
Coefficient of variation (CV)0.86953365
Kurtosis10.329188
Mean6.5075377
Median Absolute Deviation (MAD)3
Skewness2.4083566
Sum1295
Variance32.018882
MonotonicityNot monotonic
2023-12-10T15:25:46.363818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3 23
11.6%
1 22
11.1%
4 20
10.1%
5 20
10.1%
6 19
9.5%
7 13
 
6.5%
8 11
 
5.5%
2 11
 
5.5%
9 11
 
5.5%
10 10
 
5.0%
Other values (15) 39
19.6%
ValueCountFrequency (%)
0 8
 
4.0%
1 22
11.1%
2 11
5.5%
3 23
11.6%
4 20
10.1%
5 20
10.1%
6 19
9.5%
7 13
6.5%
8 11
5.5%
9 11
5.5%
ValueCountFrequency (%)
44 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
19 2
1.0%
18 3
1.5%
16 1
 
0.5%
15 2
1.0%

43.1
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.201005
Minimum0
Maximum503
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:46.597919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q121.5
median41
Q381
95-th percentile232.6
Maximum503
Range503
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation77.335487
Coefficient of variation (CV)1.1175486
Kurtosis6.5978799
Mean69.201005
Median Absolute Deviation (MAD)21
Skewness2.3156397
Sum13771
Variance5980.7776
MonotonicityNot monotonic
2023-12-10T15:25:47.252253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 7
 
3.5%
22 6
 
3.0%
20 6
 
3.0%
19 6
 
3.0%
31 5
 
2.5%
15 4
 
2.0%
30 4
 
2.0%
156 4
 
2.0%
46 4
 
2.0%
28 4
 
2.0%
Other values (95) 149
74.9%
ValueCountFrequency (%)
0 2
1.0%
1 1
 
0.5%
3 2
1.0%
4 1
 
0.5%
7 2
1.0%
10 3
1.5%
11 1
 
0.5%
12 2
1.0%
13 3
1.5%
14 3
1.5%
ValueCountFrequency (%)
503 1
0.5%
369 1
0.5%
353 1
0.5%
304 1
0.5%
273 1
0.5%
266 2
1.0%
260 1
0.5%
246 1
0.5%
238 1
0.5%
232 2
1.0%

44.1
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.592965
Minimum0
Maximum691
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:47.493743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q123
median42
Q387.5
95-th percentile267.1
Maximum691
Range691
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation96.262006
Coefficient of variation (CV)1.2248171
Kurtosis10.995668
Mean78.592965
Median Absolute Deviation (MAD)22
Skewness2.8477676
Sum15640
Variance9266.3739
MonotonicityNot monotonic
2023-12-10T15:25:47.742717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 6
 
3.0%
18 6
 
3.0%
24 6
 
3.0%
22 6
 
3.0%
27 5
 
2.5%
46 4
 
2.0%
20 4
 
2.0%
13 4
 
2.0%
23 4
 
2.0%
38 4
 
2.0%
Other values (100) 150
75.4%
ValueCountFrequency (%)
0 2
1.0%
2 1
 
0.5%
3 2
1.0%
5 1
 
0.5%
8 3
1.5%
10 2
1.0%
11 2
1.0%
13 4
2.0%
14 3
1.5%
16 1
 
0.5%
ValueCountFrequency (%)
691 1
0.5%
518 1
0.5%
448 1
0.5%
414 1
0.5%
338 1
0.5%
289 1
0.5%
285 1
0.5%
277 1
0.5%
273 1
0.5%
268 1
0.5%

7.26
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.170854
Minimum0
Maximum149
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:47.999733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q315.5
95-th percentile64.1
Maximum149
Range149
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation23.364286
Coefficient of variation (CV)1.4448393
Kurtosis10.320532
Mean16.170854
Median Absolute Deviation (MAD)4
Skewness2.9441321
Sum3218
Variance545.88985
MonotonicityNot monotonic
2023-12-10T15:25:48.311217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 24
 
12.1%
4 21
 
10.6%
5 18
 
9.0%
6 14
 
7.0%
7 14
 
7.0%
2 11
 
5.5%
10 7
 
3.5%
8 6
 
3.0%
11 6
 
3.0%
13 5
 
2.5%
Other values (44) 73
36.7%
ValueCountFrequency (%)
0 5
 
2.5%
1 3
 
1.5%
2 11
5.5%
3 24
12.1%
4 21
10.6%
5 18
9.0%
6 14
7.0%
7 14
7.0%
8 6
 
3.0%
9 4
 
2.0%
ValueCountFrequency (%)
149 1
0.5%
131 1
0.5%
123 1
0.5%
97 1
0.5%
87 1
0.5%
83 1
0.5%
74 1
0.5%
73 1
0.5%
66 1
0.5%
65 1
0.5%

7.27
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.296482
Minimum0
Maximum91
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:48.586822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q316
95-th percentile57.1
Maximum91
Range91
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.871695
Coefficient of variation (CV)1.1801291
Kurtosis4.6423553
Mean14.296482
Median Absolute Deviation (MAD)4
Skewness2.1720673
Sum2845
Variance284.65408
MonotonicityNot monotonic
2023-12-10T15:25:48.794314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4 22
 
11.1%
6 20
 
10.1%
3 19
 
9.5%
5 13
 
6.5%
2 11
 
5.5%
8 10
 
5.0%
7 8
 
4.0%
12 7
 
3.5%
11 7
 
3.5%
10 6
 
3.0%
Other values (37) 76
38.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 3
 
1.5%
2 11
5.5%
3 19
9.5%
4 22
11.1%
5 13
6.5%
6 20
10.1%
7 8
 
4.0%
8 10
5.0%
9 5
 
2.5%
ValueCountFrequency (%)
91 1
0.5%
78 1
0.5%
75 1
0.5%
70 1
0.5%
69 1
0.5%
62 1
0.5%
61 1
0.5%
59 2
1.0%
58 1
0.5%
57 1
0.5%

8.17
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.150754
Minimum0
Maximum182
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:49.035361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median8
Q319
95-th percentile68.2
Maximum182
Range182
Interquartile range (IQR)15

Descriptive statistics

Standard deviation22.843945
Coefficient of variation (CV)1.3319499
Kurtosis15.340946
Mean17.150754
Median Absolute Deviation (MAD)4
Skewness3.2581114
Sum3413
Variance521.84585
MonotonicityNot monotonic
2023-12-10T15:25:49.303085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 26
 
13.1%
5 15
 
7.5%
6 14
 
7.0%
7 11
 
5.5%
3 10
 
5.0%
2 9
 
4.5%
11 8
 
4.0%
8 8
 
4.0%
12 7
 
3.5%
17 6
 
3.0%
Other values (44) 85
42.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 5
 
2.5%
2 9
 
4.5%
3 10
 
5.0%
4 26
13.1%
5 15
7.5%
6 14
7.0%
7 11
5.5%
8 8
 
4.0%
9 6
 
3.0%
ValueCountFrequency (%)
182 1
0.5%
102 1
0.5%
99 1
0.5%
91 1
0.5%
82 1
0.5%
81 1
0.5%
76 1
0.5%
75 1
0.5%
72 1
0.5%
70 1
0.5%

9.9
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.427136
Minimum0
Maximum202
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:49.535278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314
95-th percentile38
Maximum202
Range202
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.432061
Coefficient of variation (CV)1.4832107
Kurtosis57.346758
Mean12.427136
Median Absolute Deviation (MAD)3
Skewness6.2696531
Sum2473
Variance339.74088
MonotonicityNot monotonic
2023-12-10T15:25:49.800325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4 28
14.1%
7 20
 
10.1%
3 16
 
8.0%
9 14
 
7.0%
5 13
 
6.5%
2 12
 
6.0%
8 10
 
5.0%
6 10
 
5.0%
15 6
 
3.0%
12 6
 
3.0%
Other values (33) 64
32.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 4
 
2.0%
2 12
6.0%
3 16
8.0%
4 28
14.1%
5 13
6.5%
6 10
 
5.0%
7 20
10.1%
8 10
 
5.0%
9 14
7.0%
ValueCountFrequency (%)
202 1
0.5%
80 1
0.5%
68 1
0.5%
61 1
0.5%
52 1
0.5%
51 1
0.5%
49 1
0.5%
44 1
0.5%
39 1
0.5%
38 2
1.0%

12.19
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.919598
Minimum0
Maximum44
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:50.016969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q312
95-th percentile23
Maximum44
Range44
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.9626397
Coefficient of variation (CV)0.78060017
Kurtosis4.6970179
Mean8.919598
Median Absolute Deviation (MAD)3
Skewness1.8245782
Sum1775
Variance48.478351
MonotonicityNot monotonic
2023-12-10T15:25:50.271027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4 22
 
11.1%
6 21
 
10.6%
5 18
 
9.0%
8 14
 
7.0%
3 12
 
6.0%
7 12
 
6.0%
12 11
 
5.5%
10 11
 
5.5%
9 10
 
5.0%
2 10
 
5.0%
Other values (21) 58
29.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 8
 
4.0%
2 10
5.0%
3 12
6.0%
4 22
11.1%
5 18
9.0%
6 21
10.6%
7 12
6.0%
8 14
7.0%
9 10
5.0%
ValueCountFrequency (%)
44 1
 
0.5%
39 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
28 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
25 1
 
0.5%
23 3
1.5%
22 2
1.0%

6.18
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.839196
Minimum0
Maximum238
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:50.606287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q321
95-th percentile88
Maximum238
Range238
Interquartile range (IQR)17

Descriptive statistics

Standard deviation33.953389
Coefficient of variation (CV)1.5546996
Kurtosis12.618753
Mean21.839196
Median Absolute Deviation (MAD)4
Skewness3.1208593
Sum4346
Variance1152.8326
MonotonicityNot monotonic
2023-12-10T15:25:50.864887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 22
 
11.1%
5 20
 
10.1%
6 18
 
9.0%
4 16
 
8.0%
2 11
 
5.5%
9 10
 
5.0%
7 7
 
3.5%
10 6
 
3.0%
8 5
 
2.5%
25 4
 
2.0%
Other values (46) 80
40.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 2
 
1.0%
2 11
5.5%
3 22
11.1%
4 16
8.0%
5 20
10.1%
6 18
9.0%
7 7
 
3.5%
8 5
 
2.5%
9 10
5.0%
ValueCountFrequency (%)
238 1
0.5%
201 1
0.5%
146 1
0.5%
133 1
0.5%
120 1
0.5%
111 1
0.5%
95 1
0.5%
94 1
0.5%
93 1
0.5%
88 2
1.0%

6.19
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.648241
Minimum0
Maximum111
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:51.161419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q317
95-th percentile53.6
Maximum111
Range111
Interquartile range (IQR)13

Descriptive statistics

Standard deviation18.302367
Coefficient of variation (CV)1.2494584
Kurtosis7.5055533
Mean14.648241
Median Absolute Deviation (MAD)4
Skewness2.5885787
Sum2915
Variance334.97665
MonotonicityNot monotonic
2023-12-10T15:25:51.424304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 20
 
10.1%
4 19
 
9.5%
6 16
 
8.0%
7 15
 
7.5%
5 13
 
6.5%
2 12
 
6.0%
11 7
 
3.5%
8 6
 
3.0%
12 6
 
3.0%
9 5
 
2.5%
Other values (40) 80
40.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 5
 
2.5%
2 12
6.0%
3 20
10.1%
4 19
9.5%
5 13
6.5%
6 16
8.0%
7 15
7.5%
8 6
 
3.0%
9 5
 
2.5%
ValueCountFrequency (%)
111 1
0.5%
90 1
0.5%
86 1
0.5%
82 1
0.5%
79 1
0.5%
74 1
0.5%
67 1
0.5%
64 1
0.5%
60 1
0.5%
59 1
0.5%

87.1
Real number (ℝ)

ZEROS 

Distinct134
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.79397
Minimum0
Maximum1194
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:51.671883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q144
median84
Q3176.5
95-th percentile498.8
Maximum1194
Range1194
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation172.31124
Coefficient of variation (CV)1.1658882
Kurtosis8.8140638
Mean147.79397
Median Absolute Deviation (MAD)44
Skewness2.5749798
Sum29411
Variance29691.164
MonotonicityNot monotonic
2023-12-10T15:25:51.910632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 7
 
3.5%
108 4
 
2.0%
40 4
 
2.0%
46 4
 
2.0%
41 4
 
2.0%
80 4
 
2.0%
36 4
 
2.0%
39 3
 
1.5%
52 3
 
1.5%
72 3
 
1.5%
Other values (124) 159
79.9%
ValueCountFrequency (%)
0 2
1.0%
3 1
0.5%
6 2
1.0%
9 1
0.5%
15 2
1.0%
18 1
0.5%
20 2
1.0%
22 1
0.5%
25 2
1.0%
26 2
1.0%
ValueCountFrequency (%)
1194 1
0.5%
887 1
0.5%
752 1
0.5%
691 1
0.5%
674 1
0.5%
543 1
0.5%
540 1
0.5%
521 1
0.5%
508 1
0.5%
506 1
0.5%

8.18
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.964824
Minimum0
Maximum327
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:52.155797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median8
Q319.5
95-th percentile67.1
Maximum327
Range327
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation31.93734
Coefficient of variation (CV)1.6840304
Kurtosis44.79876
Mean18.964824
Median Absolute Deviation (MAD)5
Skewness5.5183921
Sum3774
Variance1019.9937
MonotonicityNot monotonic
2023-12-10T15:25:52.398166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
9.0%
4 16
 
8.0%
6 15
 
7.5%
5 13
 
6.5%
7 12
 
6.0%
2 11
 
5.5%
8 8
 
4.0%
10 7
 
3.5%
9 6
 
3.0%
16 6
 
3.0%
Other values (47) 87
43.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 5
 
2.5%
2 11
5.5%
3 18
9.0%
4 16
8.0%
5 13
6.5%
6 15
7.5%
7 12
6.0%
8 8
4.0%
9 6
 
3.0%
ValueCountFrequency (%)
327 1
0.5%
130 1
0.5%
120 1
0.5%
115 1
0.5%
114 1
0.5%
97 1
0.5%
88 1
0.5%
86 1
0.5%
81 1
0.5%
68 1
0.5%

9.10
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.040201
Minimum0
Maximum206
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:52.618314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q314
95-th percentile40
Maximum206
Range206
Interquartile range (IQR)10

Descriptive statistics

Standard deviation19.353657
Coefficient of variation (CV)1.4841533
Kurtosis50.776908
Mean13.040201
Median Absolute Deviation (MAD)3
Skewness5.8628476
Sum2595
Variance374.56403
MonotonicityNot monotonic
2023-12-10T15:25:52.852952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4 28
14.1%
7 19
 
9.5%
5 18
 
9.0%
3 14
 
7.0%
8 12
 
6.0%
6 12
 
6.0%
2 9
 
4.5%
9 8
 
4.0%
12 7
 
3.5%
14 6
 
3.0%
Other values (31) 66
33.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 4
 
2.0%
2 9
 
4.5%
3 14
7.0%
4 28
14.1%
5 18
9.0%
6 12
6.0%
7 19
9.5%
8 12
6.0%
9 8
 
4.0%
ValueCountFrequency (%)
206 1
 
0.5%
81 1
 
0.5%
72 2
1.0%
62 1
 
0.5%
54 1
 
0.5%
52 1
 
0.5%
49 1
 
0.5%
48 1
 
0.5%
40 4
2.0%
37 1
 
0.5%

15.18
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.261307
Minimum0
Maximum54
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:53.454478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q313
95-th percentile26.1
Maximum54
Range54
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.3811995
Coefficient of variation (CV)0.81677703
Kurtosis6.1980141
Mean10.261307
Median Absolute Deviation (MAD)4
Skewness2.0651497
Sum2042
Variance70.244505
MonotonicityNot monotonic
2023-12-10T15:25:53.659009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 17
 
8.5%
7 16
 
8.0%
9 15
 
7.5%
5 15
 
7.5%
6 13
 
6.5%
8 12
 
6.0%
3 10
 
5.0%
12 9
 
4.5%
14 9
 
4.5%
2 9
 
4.5%
Other values (24) 74
37.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 8
4.0%
2 9
4.5%
3 10
5.0%
4 17
8.5%
5 15
7.5%
6 13
6.5%
7 16
8.0%
8 12
6.0%
9 15
7.5%
ValueCountFrequency (%)
54 1
0.5%
47 1
0.5%
45 1
0.5%
35 1
0.5%
34 1
0.5%
31 1
0.5%
28 2
1.0%
27 2
1.0%
26 1
0.5%
25 2
1.0%

119.1
Real number (ℝ)

ZEROS 

Distinct131
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.994975
Minimum0
Maximum427
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:53.950776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.9
Q150
median81
Q3132
95-th percentile246.9
Maximum427
Range427
Interquartile range (IQR)82

Descriptive statistics

Standard deviation74.55921
Coefficient of variation (CV)0.74562956
Kurtosis3.6604963
Mean99.994975
Median Absolute Deviation (MAD)38
Skewness1.6642896
Sum19899
Variance5559.0757
MonotonicityNot monotonic
2023-12-10T15:25:54.218543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 4
 
2.0%
39 4
 
2.0%
54 4
 
2.0%
58 4
 
2.0%
56 3
 
1.5%
75 3
 
1.5%
50 3
 
1.5%
20 3
 
1.5%
19 3
 
1.5%
59 3
 
1.5%
Other values (121) 165
82.9%
ValueCountFrequency (%)
0 2
1.0%
3 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
13 2
1.0%
14 1
 
0.5%
16 1
 
0.5%
18 1
 
0.5%
19 3
1.5%
20 3
1.5%
ValueCountFrequency (%)
427 1
0.5%
407 1
0.5%
385 1
0.5%
317 1
0.5%
306 1
0.5%
299 1
0.5%
280 1
0.5%
268 1
0.5%
257 1
0.5%
255 1
0.5%

120.1
Real number (ℝ)

ZEROS 

Distinct134
Distinct (%)67.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.58291
Minimum0
Maximum598
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:54.464609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q154.5
median86
Q3144.5
95-th percentile282.6
Maximum598
Range598
Interquartile range (IQR)90

Descriptive statistics

Standard deviation89.988843
Coefficient of variation (CV)0.79931172
Kurtosis5.5955096
Mean112.58291
Median Absolute Deviation (MAD)40
Skewness1.9310492
Sum22404
Variance8097.9918
MonotonicityNot monotonic
2023-12-10T15:25:54.702719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 4
 
2.0%
73 4
 
2.0%
110 3
 
1.5%
56 3
 
1.5%
62 3
 
1.5%
46 3
 
1.5%
122 3
 
1.5%
61 3
 
1.5%
43 3
 
1.5%
262 3
 
1.5%
Other values (124) 167
83.9%
ValueCountFrequency (%)
0 2
1.0%
4 1
 
0.5%
9 2
1.0%
12 1
 
0.5%
13 3
1.5%
15 2
1.0%
21 3
1.5%
23 1
 
0.5%
27 1
 
0.5%
28 2
1.0%
ValueCountFrequency (%)
598 1
0.5%
503 1
0.5%
411 1
0.5%
372 1
0.5%
343 1
0.5%
320 1
0.5%
300 1
0.5%
294 1
0.5%
290 1
0.5%
288 1
0.5%

19.8
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.165829
Minimum0
Maximum167
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:54.995882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q19
median15
Q326.5
95-th percentile70.2
Maximum167
Range167
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation22.406881
Coefficient of variation (CV)1.0108749
Kurtosis11.165005
Mean22.165829
Median Absolute Deviation (MAD)8
Skewness2.7867752
Sum4411
Variance502.06832
MonotonicityNot monotonic
2023-12-10T15:25:55.366855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
13 11
 
5.5%
6 11
 
5.5%
15 10
 
5.0%
11 10
 
5.0%
7 9
 
4.5%
5 9
 
4.5%
12 8
 
4.0%
19 7
 
3.5%
8 7
 
3.5%
Other values (47) 106
53.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 1
 
0.5%
3 1
 
0.5%
4 3
 
1.5%
5 9
4.5%
6 11
5.5%
7 9
4.5%
8 7
3.5%
9 11
5.5%
ValueCountFrequency (%)
167 1
0.5%
129 1
0.5%
88 2
1.0%
81 1
0.5%
77 1
0.5%
76 1
0.5%
74 1
0.5%
72 2
1.0%
70 1
0.5%
65 2
1.0%

18.7
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.668342
Minimum0
Maximum92
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:55.634986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median15
Q325.5
95-th percentile51
Maximum92
Range92
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation15.143774
Coefficient of variation (CV)0.76995683
Kurtosis3.4165961
Mean19.668342
Median Absolute Deviation (MAD)7
Skewness1.6656178
Sum3914
Variance229.33389
MonotonicityNot monotonic
2023-12-10T15:25:55.873217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 12
 
6.0%
10 11
 
5.5%
15 11
 
5.5%
13 11
 
5.5%
9 10
 
5.0%
18 7
 
3.5%
17 7
 
3.5%
21 7
 
3.5%
5 7
 
3.5%
8 7
 
3.5%
Other values (42) 109
54.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 2
 
1.0%
2 2
 
1.0%
3 3
 
1.5%
4 4
 
2.0%
5 7
3.5%
6 6
3.0%
7 6
3.0%
8 7
3.5%
9 10
5.0%
ValueCountFrequency (%)
92 1
0.5%
73 1
0.5%
68 1
0.5%
65 1
0.5%
63 1
0.5%
59 1
0.5%
58 1
0.5%
54 1
0.5%
53 1
0.5%
51 2
1.0%

22.8
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.60804
Minimum0
Maximum150
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:56.086954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110.5
median17
Q329
95-th percentile53.8
Maximum150
Range150
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation20.524859
Coefficient of variation (CV)0.90785662
Kurtosis11.072604
Mean22.60804
Median Absolute Deviation (MAD)8
Skewness2.8151647
Sum4499
Variance421.26983
MonotonicityNot monotonic
2023-12-10T15:25:56.358803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 15
 
7.5%
10 13
 
6.5%
13 12
 
6.0%
17 10
 
5.0%
16 9
 
4.5%
9 7
 
3.5%
21 7
 
3.5%
7 6
 
3.0%
4 5
 
2.5%
11 5
 
2.5%
Other values (47) 110
55.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 3
1.5%
3 2
 
1.0%
4 5
2.5%
5 4
2.0%
6 5
2.5%
7 6
3.0%
8 2
 
1.0%
9 7
3.5%
ValueCountFrequency (%)
150 1
0.5%
111 2
1.0%
96 1
0.5%
94 1
0.5%
83 1
0.5%
78 1
0.5%
65 1
0.5%
63 1
0.5%
61 1
0.5%
53 1
0.5%

25.7
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.904523
Minimum0
Maximum161
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:56.826723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q19
median14
Q323
95-th percentile45.1
Maximum161
Range161
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.51372
Coefficient of variation (CV)0.92232117
Kurtosis28.922317
Mean17.904523
Median Absolute Deviation (MAD)6
Skewness4.0895743
Sum3563
Variance272.70296
MonotonicityNot monotonic
2023-12-10T15:25:57.076376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 15
 
7.5%
10 12
 
6.0%
8 11
 
5.5%
19 9
 
4.5%
14 8
 
4.0%
9 8
 
4.0%
16 8
 
4.0%
18 8
 
4.0%
7 8
 
4.0%
12 8
 
4.0%
Other values (40) 104
52.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 2
 
1.0%
2 6
3.0%
3 5
2.5%
4 5
2.5%
5 5
2.5%
6 5
2.5%
7 8
4.0%
8 11
5.5%
9 8
4.0%
ValueCountFrequency (%)
161 1
0.5%
80 1
0.5%
68 1
0.5%
61 1
0.5%
57 2
1.0%
52 1
0.5%
47 2
1.0%
46 1
0.5%
45 1
0.5%
44 1
0.5%

34.1
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.18593
Minimum0
Maximum120
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:57.341127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median13
Q323.5
95-th percentile46.1
Maximum120
Range120
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation15.521591
Coefficient of variation (CV)0.90315693
Kurtosis9.9211216
Mean17.18593
Median Absolute Deviation (MAD)8
Skewness2.3382765
Sum3420
Variance240.9198
MonotonicityNot monotonic
2023-12-10T15:25:57.591388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
10 11
 
5.5%
1 10
 
5.0%
3 9
 
4.5%
11 8
 
4.0%
13 8
 
4.0%
4 8
 
4.0%
5 8
 
4.0%
21 7
 
3.5%
12 7
 
3.5%
2 7
 
3.5%
Other values (39) 116
58.3%
ValueCountFrequency (%)
0 3
 
1.5%
1 10
5.0%
2 7
3.5%
3 9
4.5%
4 8
4.0%
5 8
4.0%
6 4
 
2.0%
7 7
3.5%
8 6
3.0%
9 5
2.5%
ValueCountFrequency (%)
120 1
0.5%
69 1
0.5%
63 2
1.0%
62 1
0.5%
54 1
0.5%
52 1
0.5%
51 1
0.5%
49 1
0.5%
47 1
0.5%
46 1
0.5%

239.1
Real number (ℝ)

ZEROS 

Distinct155
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.57789
Minimum0
Maximum1005
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:57.905916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.8
Q1105.5
median168
Q3280
95-th percentile519.2
Maximum1005
Range1005
Interquartile range (IQR)174.5

Descriptive statistics

Standard deviation162.91912
Coefficient of variation (CV)0.76639729
Kurtosis4.4106586
Mean212.57789
Median Absolute Deviation (MAD)78
Skewness1.7576795
Sum42303
Variance26542.639
MonotonicityNot monotonic
2023-12-10T15:25:58.156291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
298 5
 
2.5%
122 5
 
2.5%
121 3
 
1.5%
113 3
 
1.5%
85 3
 
1.5%
150 2
 
1.0%
168 2
 
1.0%
126 2
 
1.0%
171 2
 
1.0%
249 2
 
1.0%
Other values (145) 170
85.4%
ValueCountFrequency (%)
0 2
1.0%
7 1
0.5%
17 1
0.5%
18 1
0.5%
26 1
0.5%
27 1
0.5%
28 2
1.0%
32 1
0.5%
34 1
0.5%
39 1
0.5%
ValueCountFrequency (%)
1005 1
0.5%
930 1
0.5%
796 1
0.5%
617 1
0.5%
600 1
0.5%
590 1
0.5%
589 1
0.5%
577 1
0.5%
553 1
0.5%
530 1
0.5%

17.9
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.979899
Minimum0
Maximum197
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:58.369563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q110
median17
Q330.5
95-th percentile99.2
Maximum197
Range197
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation30.584369
Coefficient of variation (CV)1.0930836
Kurtosis6.5940384
Mean27.979899
Median Absolute Deviation (MAD)9
Skewness2.3779224
Sum5568
Variance935.40363
MonotonicityNot monotonic
2023-12-10T15:25:58.613216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 13
 
6.5%
9 12
 
6.0%
8 10
 
5.0%
11 9
 
4.5%
13 8
 
4.0%
17 8
 
4.0%
28 7
 
3.5%
18 7
 
3.5%
14 6
 
3.0%
7 6
 
3.0%
Other values (58) 113
56.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 2
 
1.0%
2 3
 
1.5%
3 1
 
0.5%
4 2
 
1.0%
5 3
 
1.5%
6 6
3.0%
7 6
3.0%
8 10
5.0%
9 12
6.0%
ValueCountFrequency (%)
197 1
0.5%
150 1
0.5%
126 2
1.0%
111 1
0.5%
110 1
0.5%
109 1
0.5%
105 1
0.5%
101 2
1.0%
99 1
0.5%
96 1
0.5%

17.10
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.427136
Minimum0
Maximum87
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:59.291205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median16
Q325.5
95-th percentile56.1
Maximum87
Range87
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation16.657072
Coefficient of variation (CV)0.81543846
Kurtosis2.6260652
Mean20.427136
Median Absolute Deviation (MAD)7
Skewness1.6281481
Sum4065
Variance277.45805
MonotonicityNot monotonic
2023-12-10T15:25:59.562078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 12
 
6.0%
8 11
 
5.5%
10 10
 
5.0%
19 9
 
4.5%
13 8
 
4.0%
18 8
 
4.0%
16 7
 
3.5%
5 7
 
3.5%
11 7
 
3.5%
15 6
 
3.0%
Other values (47) 114
57.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 4
 
2.0%
3 5
2.5%
4 2
 
1.0%
5 7
3.5%
6 5
2.5%
7 6
3.0%
8 11
5.5%
9 12
6.0%
ValueCountFrequency (%)
87 1
0.5%
77 2
1.0%
74 1
0.5%
72 1
0.5%
67 1
0.5%
64 1
0.5%
62 1
0.5%
58 1
0.5%
57 1
0.5%
56 1
0.5%

22.9
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.879397
Minimum0
Maximum281
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:25:59.836540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median16
Q329
95-th percentile72.3
Maximum281
Range281
Interquartile range (IQR)19

Descriptive statistics

Standard deviation28.238085
Coefficient of variation (CV)1.1349988
Kurtosis34.786441
Mean24.879397
Median Absolute Deviation (MAD)8
Skewness4.6714618
Sum4951
Variance797.38942
MonotonicityNot monotonic
2023-12-10T15:26:00.078128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13
 
6.5%
15 10
 
5.0%
12 10
 
5.0%
10 8
 
4.0%
21 8
 
4.0%
11 7
 
3.5%
13 7
 
3.5%
29 7
 
3.5%
8 7
 
3.5%
7 6
 
3.0%
Other values (49) 116
58.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 4
 
2.0%
3 4
 
2.0%
4 2
 
1.0%
5 3
 
1.5%
6 5
 
2.5%
7 6
3.0%
8 7
3.5%
9 13
6.5%
ValueCountFrequency (%)
281 1
0.5%
118 1
0.5%
114 1
0.5%
107 1
0.5%
99 1
0.5%
96 1
0.5%
94 1
0.5%
84 1
0.5%
75 2
1.0%
72 2
1.0%

25.8
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.432161
Minimum0
Maximum178
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:00.292458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q19
median15
Q323.5
95-th percentile48.1
Maximum178
Range178
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation18.433724
Coefficient of variation (CV)0.94861938
Kurtosis27.963958
Mean19.432161
Median Absolute Deviation (MAD)7
Skewness4.0133615
Sum3867
Variance339.80219
MonotonicityNot monotonic
2023-12-10T15:26:00.559795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 16
 
8.0%
19 13
 
6.5%
7 10
 
5.0%
13 9
 
4.5%
15 9
 
4.5%
6 8
 
4.0%
10 7
 
3.5%
9 7
 
3.5%
8 6
 
3.0%
5 6
 
3.0%
Other values (44) 108
54.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 5
2.5%
3 2
 
1.0%
4 5
2.5%
5 6
3.0%
6 8
4.0%
7 10
5.0%
8 6
3.0%
9 7
3.5%
ValueCountFrequency (%)
178 1
0.5%
85 1
0.5%
75 1
0.5%
74 1
0.5%
66 1
0.5%
56 1
0.5%
54 1
0.5%
53 1
0.5%
52 1
0.5%
49 1
0.5%

40.1
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.396985
Minimum0
Maximum148
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:00.842559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17.5
median16
Q327
95-th percentile54.5
Maximum148
Range148
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation18.803293
Coefficient of variation (CV)0.9218663
Kurtosis10.968237
Mean20.396985
Median Absolute Deviation (MAD)9
Skewness2.4627425
Sum4059
Variance353.56383
MonotonicityNot monotonic
2023-12-10T15:26:01.059384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 13
 
6.5%
13 10
 
5.0%
18 9
 
4.5%
3 9
 
4.5%
15 9
 
4.5%
11 8
 
4.0%
10 8
 
4.0%
12 6
 
3.0%
20 6
 
3.0%
1 6
 
3.0%
Other values (47) 115
57.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 6
3.0%
2 13
6.5%
3 9
4.5%
4 5
 
2.5%
5 4
 
2.0%
6 5
 
2.5%
7 6
3.0%
8 3
 
1.5%
9 1
 
0.5%
ValueCountFrequency (%)
148 1
0.5%
85 1
0.5%
77 1
0.5%
75 1
0.5%
72 1
0.5%
64 1
0.5%
63 2
1.0%
62 1
0.5%
59 1
0.5%
54 1
0.5%

70.4
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.562814
Minimum0
Maximum497
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:01.340792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q133
median53
Q391.5
95-th percentile250.1
Maximum497
Range497
Interquartile range (IQR)58.5

Descriptive statistics

Standard deviation80.287519
Coefficient of variation (CV)1.0091086
Kurtosis6.9482291
Mean79.562814
Median Absolute Deviation (MAD)23
Skewness2.4181901
Sum15833
Variance6446.0857
MonotonicityNot monotonic
2023-12-10T15:26:01.579471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 6
 
3.0%
30 6
 
3.0%
29 5
 
2.5%
20 5
 
2.5%
34 5
 
2.5%
33 5
 
2.5%
44 3
 
1.5%
23 3
 
1.5%
40 3
 
1.5%
47 3
 
1.5%
Other values (106) 155
77.9%
ValueCountFrequency (%)
0 2
 
1.0%
2 2
 
1.0%
5 3
1.5%
6 1
 
0.5%
7 1
 
0.5%
11 2
 
1.0%
12 2
 
1.0%
16 2
 
1.0%
17 2
 
1.0%
20 5
2.5%
ValueCountFrequency (%)
497 1
0.5%
444 1
0.5%
359 1
0.5%
355 1
0.5%
352 1
0.5%
336 1
0.5%
288 1
0.5%
260 1
0.5%
257 1
0.5%
251 1
0.5%

70.5
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.582915
Minimum0
Maximum525
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:01.919171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.9
Q134
median55
Q3104
95-th percentile292.3
Maximum525
Range525
Interquartile range (IQR)70

Descriptive statistics

Standard deviation86.39808
Coefficient of variation (CV)1.0095249
Kurtosis5.6897203
Mean85.582915
Median Absolute Deviation (MAD)25
Skewness2.2453666
Sum17031
Variance7464.6282
MonotonicityNot monotonic
2023-12-10T15:26:02.241710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 7
 
3.5%
34 6
 
3.0%
30 5
 
2.5%
43 5
 
2.5%
44 4
 
2.0%
33 4
 
2.0%
39 4
 
2.0%
32 4
 
2.0%
38 4
 
2.0%
65 3
 
1.5%
Other values (106) 153
76.9%
ValueCountFrequency (%)
0 2
1.0%
2 2
1.0%
4 1
 
0.5%
5 3
1.5%
8 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
12 2
1.0%
17 1
 
0.5%
18 1
 
0.5%
ValueCountFrequency (%)
525 1
0.5%
426 1
0.5%
409 1
0.5%
355 1
0.5%
352 1
0.5%
328 1
0.5%
305 1
0.5%
298 1
0.5%
297 1
0.5%
295 1
0.5%

11.22
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.371859
Minimum0
Maximum257
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:02.516126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q319
95-th percentile86.2
Maximum257
Range257
Interquartile range (IQR)13

Descriptive statistics

Standard deviation31.157508
Coefficient of variation (CV)1.5294386
Kurtosis21.769153
Mean20.371859
Median Absolute Deviation (MAD)5
Skewness4.0444357
Sum4054
Variance970.79032
MonotonicityNot monotonic
2023-12-10T15:26:02.769854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
5 15
 
7.5%
7 14
 
7.0%
9 14
 
7.0%
4 14
 
7.0%
8 10
 
5.0%
11 9
 
4.5%
13 7
 
3.5%
10 7
 
3.5%
17 5
 
2.5%
Other values (43) 88
44.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 4
 
2.0%
2 4
 
2.0%
3 5
 
2.5%
4 14
7.0%
5 15
7.5%
6 16
8.0%
7 14
7.0%
8 10
5.0%
9 14
7.0%
ValueCountFrequency (%)
257 1
0.5%
191 1
0.5%
127 1
0.5%
121 1
0.5%
103 2
1.0%
98 1
0.5%
96 1
0.5%
94 1
0.5%
88 1
0.5%
86 1
0.5%

11.23
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.658291
Minimum0
Maximum82
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:03.040234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q16
median10
Q318
95-th percentile53
Maximum82
Range82
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.815343
Coefficient of variation (CV)1.0100299
Kurtosis4.8286623
Mean15.658291
Median Absolute Deviation (MAD)5
Skewness2.1574308
Sum3116
Variance250.12507
MonotonicityNot monotonic
2023-12-10T15:26:03.278295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
10 15
 
7.5%
7 13
 
6.5%
8 12
 
6.0%
9 12
 
6.0%
5 12
 
6.0%
4 9
 
4.5%
11 8
 
4.0%
3 8
 
4.0%
12 8
 
4.0%
Other values (40) 86
43.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 4
 
2.0%
2 2
 
1.0%
3 8
4.0%
4 9
4.5%
5 12
6.0%
6 16
8.0%
7 13
6.5%
8 12
6.0%
9 12
6.0%
ValueCountFrequency (%)
82 2
1.0%
75 1
0.5%
74 1
0.5%
68 1
0.5%
63 1
0.5%
57 1
0.5%
54 2
1.0%
53 2
1.0%
52 1
0.5%
47 1
0.5%

13.16
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.884422
Minimum0
Maximum165
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:03.525405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q320
95-th percentile56
Maximum165
Range165
Interquartile range (IQR)13

Descriptive statistics

Standard deviation21.132619
Coefficient of variation (CV)1.1816216
Kurtosis17.011065
Mean17.884422
Median Absolute Deviation (MAD)6
Skewness3.4836546
Sum3559
Variance446.58758
MonotonicityNot monotonic
2023-12-10T15:26:03.779840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 18
 
9.0%
6 15
 
7.5%
10 12
 
6.0%
17 11
 
5.5%
5 10
 
5.0%
9 9
 
4.5%
12 9
 
4.5%
14 8
 
4.0%
11 8
 
4.0%
1 7
 
3.5%
Other values (41) 92
46.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 7
 
3.5%
2 3
 
1.5%
3 5
 
2.5%
4 7
 
3.5%
5 10
5.0%
6 15
7.5%
7 18
9.0%
8 7
 
3.5%
9 9
4.5%
ValueCountFrequency (%)
165 1
 
0.5%
137 1
 
0.5%
98 1
 
0.5%
77 1
 
0.5%
75 1
 
0.5%
67 1
 
0.5%
65 1
 
0.5%
62 1
 
0.5%
57 1
 
0.5%
56 3
1.5%

140.1
Real number (ℝ)

ZEROS 

Distinct138
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean165.14573
Minimum0
Maximum969
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:04.055195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.9
Q166
median107
Q3196.5
95-th percentile545.1
Maximum969
Range969
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation165.43974
Coefficient of variation (CV)1.0017803
Kurtosis5.9053245
Mean165.14573
Median Absolute Deviation (MAD)49
Skewness2.2766645
Sum32864
Variance27370.307
MonotonicityNot monotonic
2023-12-10T15:26:04.387923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 6
 
3.0%
146 4
 
2.0%
65 4
 
2.0%
175 4
 
2.0%
10 4
 
2.0%
138 3
 
1.5%
64 3
 
1.5%
66 3
 
1.5%
77 3
 
1.5%
100 3
 
1.5%
Other values (128) 162
81.4%
ValueCountFrequency (%)
0 2
1.0%
4 2
1.0%
10 4
2.0%
15 1
 
0.5%
20 1
 
0.5%
21 1
 
0.5%
24 2
1.0%
33 1
 
0.5%
35 2
1.0%
36 1
 
0.5%
ValueCountFrequency (%)
969 1
0.5%
923 1
0.5%
761 1
0.5%
687 1
0.5%
660 1
0.5%
634 1
0.5%
602 1
0.5%
590 1
0.5%
552 1
0.5%
546 1
0.5%

15.19
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.020101
Minimum0
Maximum176
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:04.644154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median9
Q315
95-th percentile40.5
Maximum176
Range176
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.889408
Coefficient of variation (CV)1.2046567
Kurtosis43.380712
Mean14.020101
Median Absolute Deviation (MAD)4
Skewness5.2941225
Sum2790
Variance285.25212
MonotonicityNot monotonic
2023-12-10T15:26:04.868628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6 23
 
11.6%
8 15
 
7.5%
5 14
 
7.0%
12 13
 
6.5%
11 10
 
5.0%
4 10
 
5.0%
7 10
 
5.0%
15 9
 
4.5%
10 9
 
4.5%
9 8
 
4.0%
Other values (34) 78
39.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 5
 
2.5%
2 6
 
3.0%
3 5
 
2.5%
4 10
5.0%
5 14
7.0%
6 23
11.6%
7 10
5.0%
8 15
7.5%
9 8
 
4.0%
ValueCountFrequency (%)
176 1
0.5%
69 1
0.5%
68 1
0.5%
66 1
0.5%
54 1
0.5%
53 1
0.5%
48 2
1.0%
47 1
0.5%
45 1
0.5%
40 1
0.5%

20.2
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.376884
Minimum0
Maximum71
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:05.080647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q316
95-th percentile30
Maximum71
Range71
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.5432915
Coefficient of variation (CV)0.83883172
Kurtosis7.4741326
Mean11.376884
Median Absolute Deviation (MAD)5
Skewness2.0138143
Sum2264
Variance91.074412
MonotonicityNot monotonic
2023-12-10T15:26:05.905865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 16
 
8.0%
9 15
 
7.5%
5 12
 
6.0%
3 11
 
5.5%
10 11
 
5.5%
7 10
 
5.0%
8 10
 
5.0%
16 9
 
4.5%
4 9
 
4.5%
1 9
 
4.5%
Other values (28) 87
43.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 9
4.5%
2 9
4.5%
3 11
5.5%
4 9
4.5%
5 12
6.0%
6 16
8.0%
7 10
5.0%
8 10
5.0%
9 15
7.5%
ValueCountFrequency (%)
71 1
0.5%
41 1
0.5%
37 2
1.0%
36 1
0.5%
35 1
0.5%
33 1
0.5%
32 1
0.5%
31 1
0.5%
30 2
1.0%
29 1
0.5%

10.16
Real number (ℝ)

ZEROS 

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.477387
Minimum0
Maximum242
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:06.173763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q323
95-th percentile109.7
Maximum242
Range242
Interquartile range (IQR)17

Descriptive statistics

Standard deviation38.863764
Coefficient of variation (CV)1.5254219
Kurtosis10.490875
Mean25.477387
Median Absolute Deviation (MAD)6
Skewness3.0887256
Sum5070
Variance1510.3922
MonotonicityNot monotonic
2023-12-10T15:26:06.504064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
6 14
 
7.0%
9 13
 
6.5%
10 13
 
6.5%
8 11
 
5.5%
15 11
 
5.5%
7 9
 
4.5%
3 7
 
3.5%
17 6
 
3.0%
11 6
 
3.0%
Other values (56) 93
46.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 4
 
2.0%
2 4
 
2.0%
3 7
3.5%
4 5
 
2.5%
5 16
8.0%
6 14
7.0%
7 9
4.5%
8 11
5.5%
9 13
6.5%
ValueCountFrequency (%)
242 1
0.5%
201 1
0.5%
197 1
0.5%
181 1
0.5%
171 1
0.5%
160 1
0.5%
128 1
0.5%
127 1
0.5%
119 1
0.5%
116 1
0.5%

10.17
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.924623
Minimum0
Maximum99
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:06.801341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median10
Q318
95-th percentile46.5
Maximum99
Range99
Interquartile range (IQR)12

Descriptive statistics

Standard deviation15.066832
Coefficient of variation (CV)1.0095285
Kurtosis7.1488124
Mean14.924623
Median Absolute Deviation (MAD)5
Skewness2.3690898
Sum2970
Variance227.00944
MonotonicityNot monotonic
2023-12-10T15:26:07.083752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
6 17
 
8.5%
7 16
 
8.0%
5 13
 
6.5%
10 12
 
6.0%
11 11
 
5.5%
9 11
 
5.5%
4 9
 
4.5%
8 9
 
4.5%
3 9
 
4.5%
12 8
 
4.0%
Other values (37) 84
42.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 5
 
2.5%
2 3
 
1.5%
3 9
4.5%
4 9
4.5%
5 13
6.5%
6 17
8.5%
7 16
8.0%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
99 1
0.5%
82 1
0.5%
63 1
0.5%
62 1
0.5%
57 1
0.5%
56 1
0.5%
54 1
0.5%
53 1
0.5%
51 2
1.0%
46 1
0.5%

13.17
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.437186
Minimum0
Maximum238
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:07.432135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q16.5
median11
Q322
95-th percentile61
Maximum238
Range238
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation24.439057
Coefficient of variation (CV)1.3255307
Kurtosis34.197111
Mean18.437186
Median Absolute Deviation (MAD)6
Skewness4.7187192
Sum3669
Variance597.2675
MonotonicityNot monotonic
2023-12-10T15:26:07.732995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18
 
9.0%
7 17
 
8.5%
8 12
 
6.0%
12 10
 
5.0%
10 10
 
5.0%
9 10
 
5.0%
11 9
 
4.5%
6 9
 
4.5%
22 7
 
3.5%
1 7
 
3.5%
Other values (45) 90
45.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 7
 
3.5%
2 2
 
1.0%
3 5
 
2.5%
4 6
 
3.0%
5 18
9.0%
6 9
4.5%
7 17
8.5%
8 12
6.0%
9 10
5.0%
ValueCountFrequency (%)
238 1
0.5%
122 1
0.5%
92 1
0.5%
82 2
1.0%
74 1
0.5%
72 1
0.5%
67 1
0.5%
66 1
0.5%
61 2
1.0%
56 2
1.0%

14.11
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.271357
Minimum0
Maximum166
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:07.976758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q16
median10
Q316
95-th percentile41.4
Maximum166
Range166
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.237092
Coefficient of variation (CV)1.1377399
Kurtosis38.414605
Mean14.271357
Median Absolute Deviation (MAD)4
Skewness4.830041
Sum2840
Variance263.64317
MonotonicityNot monotonic
2023-12-10T15:26:08.215832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6 23
 
11.6%
7 17
 
8.5%
4 12
 
6.0%
9 12
 
6.0%
11 11
 
5.5%
10 9
 
4.5%
5 9
 
4.5%
12 8
 
4.0%
13 8
 
4.0%
16 7
 
3.5%
Other values (34) 83
41.7%
ValueCountFrequency (%)
0 5
 
2.5%
1 5
 
2.5%
2 4
 
2.0%
3 5
 
2.5%
4 12
6.0%
5 9
 
4.5%
6 23
11.6%
7 17
8.5%
8 7
 
3.5%
9 12
6.0%
ValueCountFrequency (%)
166 1
 
0.5%
59 2
1.0%
57 1
 
0.5%
50 3
1.5%
48 1
 
0.5%
47 1
 
0.5%
45 1
 
0.5%
41 1
 
0.5%
39 1
 
0.5%
38 2
1.0%

24.5
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.703518
Minimum0
Maximum87
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:08.440524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median10
Q317
95-th percentile33.2
Maximum87
Range87
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.107716
Coefficient of variation (CV)0.87438111
Kurtosis10.098166
Mean12.703518
Median Absolute Deviation (MAD)6
Skewness2.2947981
Sum2528
Variance123.38135
MonotonicityNot monotonic
2023-12-10T15:26:08.702887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2 12
 
6.0%
8 11
 
5.5%
9 11
 
5.5%
6 10
 
5.0%
4 10
 
5.0%
1 9
 
4.5%
7 9
 
4.5%
10 9
 
4.5%
12 9
 
4.5%
5 8
 
4.0%
Other values (30) 101
50.8%
ValueCountFrequency (%)
0 7
3.5%
1 9
4.5%
2 12
6.0%
3 7
3.5%
4 10
5.0%
5 8
4.0%
6 10
5.0%
7 9
4.5%
8 11
5.5%
9 11
5.5%
ValueCountFrequency (%)
87 1
0.5%
50 1
0.5%
45 1
0.5%
44 1
0.5%
42 1
0.5%
38 1
0.5%
37 2
1.0%
36 1
0.5%
35 1
0.5%
33 1
0.5%

80.3
Real number (ℝ)

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.41206
Minimum12
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:08.930481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile22
Q139
median58
Q387
95-th percentile135.2
Maximum203
Range191
Interquartile range (IQR)48

Descriptive statistics

Standard deviation36.096826
Coefficient of variation (CV)0.54352818
Kurtosis0.54462856
Mean66.41206
Median Absolute Deviation (MAD)24
Skewness0.89046183
Sum13216
Variance1302.9809
MonotonicityNot monotonic
2023-12-10T15:26:09.198666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 7
 
3.5%
40 6
 
3.0%
55 4
 
2.0%
41 4
 
2.0%
43 4
 
2.0%
82 4
 
2.0%
34 4
 
2.0%
36 4
 
2.0%
37 4
 
2.0%
73 4
 
2.0%
Other values (93) 154
77.4%
ValueCountFrequency (%)
12 1
 
0.5%
16 1
 
0.5%
17 2
1.0%
18 1
 
0.5%
19 1
 
0.5%
20 3
1.5%
22 2
1.0%
23 2
1.0%
24 3
1.5%
25 2
1.0%
ValueCountFrequency (%)
203 1
0.5%
178 1
0.5%
157 1
0.5%
155 1
0.5%
148 1
0.5%
146 1
0.5%
145 1
0.5%
142 1
0.5%
140 1
0.5%
137 1
0.5%

80.4
Real number (ℝ)

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.286432
Minimum11
Maximum218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:09.688214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile21.9
Q140.5
median63
Q394
95-th percentile148
Maximum218
Range207
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation40.559015
Coefficient of variation (CV)0.56895841
Kurtosis0.55994254
Mean71.286432
Median Absolute Deviation (MAD)25
Skewness0.914858
Sum14186
Variance1645.0337
MonotonicityNot monotonic
2023-12-10T15:26:10.007089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 5
 
2.5%
56 4
 
2.0%
34 4
 
2.0%
50 4
 
2.0%
82 4
 
2.0%
23 4
 
2.0%
84 4
 
2.0%
42 4
 
2.0%
38 3
 
1.5%
24 3
 
1.5%
Other values (95) 160
80.4%
ValueCountFrequency (%)
11 2
1.0%
16 3
1.5%
17 1
 
0.5%
18 2
1.0%
20 1
 
0.5%
21 1
 
0.5%
22 2
1.0%
23 4
2.0%
24 3
1.5%
25 2
1.0%
ValueCountFrequency (%)
218 1
0.5%
192 1
0.5%
180 1
0.5%
175 2
1.0%
171 1
0.5%
158 1
0.5%
157 1
0.5%
153 1
0.5%
148 2
1.0%
147 1
0.5%

12.20
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.321608
Minimum3
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:10.215206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.9
Q17
median12
Q319
95-th percentile34
Maximum47
Range44
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.1952494
Coefficient of variation (CV)0.64205426
Kurtosis1.3533791
Mean14.321608
Median Absolute Deviation (MAD)6
Skewness1.2931375
Sum2850
Variance84.552612
MonotonicityNot monotonic
2023-12-10T15:26:10.420479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 21
 
10.6%
8 14
 
7.0%
9 12
 
6.0%
15 12
 
6.0%
5 12
 
6.0%
13 10
 
5.0%
4 9
 
4.5%
7 9
 
4.5%
14 8
 
4.0%
10 8
 
4.0%
Other values (29) 84
42.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 9
4.5%
5 12
6.0%
6 21
10.6%
7 9
4.5%
8 14
7.0%
9 12
6.0%
10 8
 
4.0%
11 8
 
4.0%
12 8
 
4.0%
ValueCountFrequency (%)
47 1
 
0.5%
42 2
1.0%
41 1
 
0.5%
40 1
 
0.5%
39 1
 
0.5%
38 2
1.0%
36 1
 
0.5%
34 3
1.5%
33 1
 
0.5%
32 1
 
0.5%

716
Real number (ℝ)

Distinct181
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean892.28141
Minimum185
Maximum4151
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:10.688240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum185
5-th percentile287.2
Q1445.5
median734
Q31203
95-th percentile1934.5
Maximum4151
Range3966
Interquartile range (IQR)757.5

Descriptive statistics

Standard deviation609.12385
Coefficient of variation (CV)0.6826589
Kurtosis5.2136941
Mean892.28141
Median Absolute Deviation (MAD)355
Skewness1.8353733
Sum177564
Variance371031.86
MonotonicityNot monotonic
2023-12-10T15:26:10.921737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364 3
 
1.5%
450 3
 
1.5%
498 2
 
1.0%
410 2
 
1.0%
306 2
 
1.0%
1071 2
 
1.0%
745 2
 
1.0%
1378 2
 
1.0%
798 2
 
1.0%
892 2
 
1.0%
Other values (171) 177
88.9%
ValueCountFrequency (%)
185 1
0.5%
210 1
0.5%
212 1
0.5%
219 1
0.5%
234 1
0.5%
253 1
0.5%
256 1
0.5%
261 1
0.5%
270 1
0.5%
280 1
0.5%
ValueCountFrequency (%)
4151 1
0.5%
3325 1
0.5%
3105 1
0.5%
2738 1
0.5%
2369 1
0.5%
2290 1
0.5%
2280 1
0.5%
2270 1
0.5%
2147 1
0.5%
2083 1
0.5%

12.21
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.452261
Minimum2
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:11.183043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q318
95-th percentile30
Maximum63
Range61
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.7123784
Coefficient of variation (CV)0.64765159
Kurtosis5.2036746
Mean13.452261
Median Absolute Deviation (MAD)5
Skewness1.7271838
Sum2677
Variance75.905538
MonotonicityNot monotonic
2023-12-10T15:26:11.445922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
9 17
 
8.5%
6 16
 
8.0%
7 16
 
8.0%
5 13
 
6.5%
10 11
 
5.5%
11 11
 
5.5%
18 9
 
4.5%
15 9
 
4.5%
14 9
 
4.5%
12 9
 
4.5%
Other values (24) 79
39.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 7
3.5%
5 13
6.5%
6 16
8.0%
7 16
8.0%
8 8
4.0%
9 17
8.5%
10 11
5.5%
11 11
5.5%
ValueCountFrequency (%)
63 1
 
0.5%
45 1
 
0.5%
38 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
32 2
1.0%
31 1
 
0.5%
30 4
2.0%
29 3
1.5%
27 1
 
0.5%

15.20
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.688442
Minimum3
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:12.057709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q319
95-th percentile34.1
Maximum53
Range50
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.5316282
Coefficient of variation (CV)0.64892029
Kurtosis2.1811
Mean14.688442
Median Absolute Deviation (MAD)5
Skewness1.4546964
Sum2923
Variance90.851936
MonotonicityNot monotonic
2023-12-10T15:26:12.292649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 18
 
9.0%
8 17
 
8.5%
6 12
 
6.0%
10 11
 
5.5%
11 11
 
5.5%
18 11
 
5.5%
5 11
 
5.5%
14 10
 
5.0%
16 10
 
5.0%
13 9
 
4.5%
Other values (31) 79
39.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
 
3.0%
5 11
5.5%
6 12
6.0%
7 18
9.0%
8 17
8.5%
9 8
4.0%
10 11
5.5%
11 11
5.5%
12 5
 
2.5%
ValueCountFrequency (%)
53 1
0.5%
48 1
0.5%
45 1
0.5%
44 1
0.5%
41 1
0.5%
40 1
0.5%
39 1
0.5%
38 1
0.5%
36 1
0.5%
35 1
0.5%

17.11
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.673367
Minimum2
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:12.495986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q316
95-th percentile26
Maximum34
Range32
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.84451
Coefficient of variation (CV)0.58633555
Kurtosis0.23539591
Mean11.673367
Median Absolute Deviation (MAD)4
Skewness0.88870703
Sum2323
Variance46.847317
MonotonicityNot monotonic
2023-12-10T15:26:12.704162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7 23
 
11.6%
6 15
 
7.5%
4 13
 
6.5%
5 13
 
6.5%
11 12
 
6.0%
8 11
 
5.5%
13 11
 
5.5%
15 10
 
5.0%
3 9
 
4.5%
17 8
 
4.0%
Other values (18) 74
37.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
 
4.5%
4 13
6.5%
5 13
6.5%
6 15
7.5%
7 23
11.6%
8 11
5.5%
9 6
 
3.0%
10 8
 
4.0%
11 12
6.0%
ValueCountFrequency (%)
34 1
 
0.5%
30 2
 
1.0%
28 5
2.5%
27 1
 
0.5%
26 2
 
1.0%
25 1
 
0.5%
24 4
2.0%
23 3
1.5%
21 3
1.5%
20 3
1.5%

23.6
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.959799
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:12.985245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14.5
median10
Q317.5
95-th percentile29
Maximum43
Range42
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.0725689
Coefficient of variation (CV)0.75858875
Kurtosis0.80043383
Mean11.959799
Median Absolute Deviation (MAD)6
Skewness1.0402649
Sum2380
Variance82.311507
MonotonicityNot monotonic
2023-12-10T15:26:13.190494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
2 21
 
10.6%
9 14
 
7.0%
3 14
 
7.0%
11 13
 
6.5%
22 11
 
5.5%
10 10
 
5.0%
7 10
 
5.0%
8 9
 
4.5%
4 8
 
4.0%
5 7
 
3.5%
Other values (26) 82
41.2%
ValueCountFrequency (%)
1 7
 
3.5%
2 21
10.6%
3 14
7.0%
4 8
 
4.0%
5 7
 
3.5%
6 6
 
3.0%
7 10
5.0%
8 9
4.5%
9 14
7.0%
10 10
5.0%
ValueCountFrequency (%)
43 1
0.5%
42 1
0.5%
41 1
0.5%
36 2
1.0%
35 1
0.5%
31 1
0.5%
30 2
1.0%
29 2
1.0%
28 1
0.5%
27 1
0.5%

12.22
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.748744
Minimum3
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:13.538617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q325
95-th percentile55
Maximum99
Range96
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.546756
Coefficient of variation (CV)0.83786373
Kurtosis3.4504645
Mean19.748744
Median Absolute Deviation (MAD)7
Skewness1.7686573
Sum3930
Variance273.79514
MonotonicityNot monotonic
2023-12-10T15:26:13.784695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 15
 
7.5%
7 14
 
7.0%
10 13
 
6.5%
8 11
 
5.5%
17 10
 
5.0%
9 9
 
4.5%
11 9
 
4.5%
12 8
 
4.0%
14 8
 
4.0%
5 8
 
4.0%
Other values (43) 94
47.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 4
 
2.0%
5 8
4.0%
6 15
7.5%
7 14
7.0%
8 11
5.5%
9 9
4.5%
10 13
6.5%
11 9
4.5%
12 8
4.0%
ValueCountFrequency (%)
99 1
0.5%
78 1
0.5%
71 1
0.5%
70 2
1.0%
59 1
0.5%
57 2
1.0%
56 1
0.5%
55 2
1.0%
54 1
0.5%
52 1
0.5%

11.24
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.763819
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:14.015203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q16
median11
Q318
95-th percentile33
Maximum66
Range65
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.86574
Coefficient of variation (CV)0.71678797
Kurtosis3.7685797
Mean13.763819
Median Absolute Deviation (MAD)5
Skewness1.6090293
Sum2739
Variance97.332826
MonotonicityNot monotonic
2023-12-10T15:26:14.253477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6 16
 
8.0%
5 15
 
7.5%
9 14
 
7.0%
4 13
 
6.5%
8 13
 
6.5%
12 11
 
5.5%
10 10
 
5.0%
13 10
 
5.0%
11 9
 
4.5%
14 8
 
4.0%
Other values (30) 80
40.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 3
 
1.5%
3 3
 
1.5%
4 13
6.5%
5 15
7.5%
6 16
8.0%
7 8
4.0%
8 13
6.5%
9 14
7.0%
10 10
5.0%
ValueCountFrequency (%)
66 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
37 1
 
0.5%
36 1
 
0.5%
35 1
 
0.5%
34 2
1.0%
33 3
1.5%
32 3
1.5%
31 3
1.5%

14.12
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.758794
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:14.523305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q17
median11
Q317
95-th percentile37
Maximum55
Range54
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.8356243
Coefficient of variation (CV)0.71486093
Kurtosis2.3123481
Mean13.758794
Median Absolute Deviation (MAD)5
Skewness1.5373179
Sum2738
Variance96.739506
MonotonicityNot monotonic
2023-12-10T15:26:14.799595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
8 17
 
8.5%
7 14
 
7.0%
6 14
 
7.0%
5 13
 
6.5%
10 12
 
6.0%
13 11
 
5.5%
14 11
 
5.5%
4 11
 
5.5%
12 9
 
4.5%
11 9
 
4.5%
Other values (30) 78
39.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 4
 
2.0%
4 11
5.5%
5 13
6.5%
6 14
7.0%
7 14
7.0%
8 17
8.5%
9 7
3.5%
10 12
6.0%
ValueCountFrequency (%)
55 1
0.5%
47 1
0.5%
42 2
1.0%
41 1
0.5%
40 1
0.5%
39 1
0.5%
38 2
1.0%
37 2
1.0%
35 1
0.5%
34 1
0.5%

16.10
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.959799
Minimum1
Maximum38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:15.013348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median9
Q315
95-th percentile25.1
Maximum38
Range37
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.1575624
Coefficient of variation (CV)0.65307424
Kurtosis1.4347517
Mean10.959799
Median Absolute Deviation (MAD)4
Skewness1.1821102
Sum2181
Variance51.230699
MonotonicityNot monotonic
2023-12-10T15:26:15.233893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
7 21
 
10.6%
8 18
 
9.0%
3 13
 
6.5%
6 13
 
6.5%
4 12
 
6.0%
5 11
 
5.5%
10 9
 
4.5%
12 9
 
4.5%
9 9
 
4.5%
16 9
 
4.5%
Other values (20) 75
37.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 13
6.5%
4 12
6.0%
5 11
5.5%
6 13
6.5%
7 21
10.6%
8 18
9.0%
9 9
4.5%
10 9
4.5%
ValueCountFrequency (%)
38 1
 
0.5%
37 1
 
0.5%
32 2
1.0%
30 1
 
0.5%
27 3
1.5%
26 2
1.0%
25 2
1.0%
23 1
 
0.5%
22 4
2.0%
21 3
1.5%

27.4
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.41206
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:15.454576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median11
Q321
95-th percentile33.1
Maximum51
Range50
Interquartile range (IQR)18

Descriptive statistics

Standard deviation11.438949
Coefficient of variation (CV)0.85288528
Kurtosis0.38094932
Mean13.41206
Median Absolute Deviation (MAD)8
Skewness0.95439652
Sum2669
Variance130.84955
MonotonicityNot monotonic
2023-12-10T15:26:15.719526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2 20
 
10.1%
1 20
 
10.1%
3 15
 
7.5%
12 11
 
5.5%
13 8
 
4.0%
4 7
 
3.5%
10 7
 
3.5%
5 7
 
3.5%
9 6
 
3.0%
8 6
 
3.0%
Other values (32) 92
46.2%
ValueCountFrequency (%)
1 20
10.1%
2 20
10.1%
3 15
7.5%
4 7
 
3.5%
5 7
 
3.5%
6 3
 
1.5%
7 5
 
2.5%
8 6
 
3.0%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
51 1
0.5%
50 1
0.5%
47 1
0.5%
45 1
0.5%
43 1
0.5%
42 1
0.5%
36 1
0.5%
35 2
1.0%
34 1
0.5%
33 1
0.5%

36.3
Real number (ℝ)

Distinct87
Distinct (%)43.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.065327
Minimum8
Maximum314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:15.973083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile12.9
Q119
median35
Q358.5
95-th percentile110
Maximum314
Range306
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation38.935984
Coefficient of variation (CV)0.86398984
Kurtosis15.591155
Mean45.065327
Median Absolute Deviation (MAD)17
Skewness3.1438155
Sum8968
Variance1516.0109
MonotonicityNot monotonic
2023-12-10T15:26:16.231360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 12
 
6.0%
15 8
 
4.0%
25 7
 
3.5%
19 6
 
3.0%
17 6
 
3.0%
33 6
 
3.0%
22 5
 
2.5%
38 5
 
2.5%
20 4
 
2.0%
37 4
 
2.0%
Other values (77) 136
68.3%
ValueCountFrequency (%)
8 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
11 4
2.0%
12 3
 
1.5%
13 3
 
1.5%
14 4
2.0%
15 8
4.0%
16 3
 
1.5%
17 6
3.0%
ValueCountFrequency (%)
314 1
0.5%
262 1
0.5%
169 1
0.5%
155 1
0.5%
139 1
0.5%
132 1
0.5%
123 1
0.5%
114 1
0.5%
111 1
0.5%
110 2
1.0%

712
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean927.0402
Minimum148
Maximum3353
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:16.446739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum148
5-th percentile298.3
Q1471.5
median788
Q31253.5
95-th percentile2250.2
Maximum3353
Range3205
Interquartile range (IQR)782

Descriptive statistics

Standard deviation602.18574
Coefficient of variation (CV)0.64957888
Kurtosis1.9993823
Mean927.0402
Median Absolute Deviation (MAD)366
Skewness1.351117
Sum184481
Variance362627.67
MonotonicityNot monotonic
2023-12-10T15:26:16.727287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364 2
 
1.0%
915 2
 
1.0%
379 2
 
1.0%
1348 2
 
1.0%
924 2
 
1.0%
739 2
 
1.0%
682 2
 
1.0%
879 2
 
1.0%
315 2
 
1.0%
305 2
 
1.0%
Other values (174) 179
89.9%
ValueCountFrequency (%)
148 1
0.5%
208 1
0.5%
228 1
0.5%
233 1
0.5%
260 1
0.5%
263 1
0.5%
268 1
0.5%
270 1
0.5%
277 1
0.5%
292 1
0.5%
ValueCountFrequency (%)
3353 1
0.5%
3108 1
0.5%
2864 1
0.5%
2698 1
0.5%
2575 1
0.5%
2442 1
0.5%
2307 1
0.5%
2276 1
0.5%
2255 1
0.5%
2252 1
0.5%

37.4
Real number (ℝ)

Distinct92
Distinct (%)46.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.919598
Minimum8
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:17.350746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q121
median38
Q361
95-th percentile156.1
Maximum424
Range416
Interquartile range (IQR)40

Descriptive statistics

Standard deviation52.529968
Coefficient of variation (CV)0.97422774
Kurtosis14.187649
Mean53.919598
Median Absolute Deviation (MAD)18
Skewness3.057014
Sum10730
Variance2759.3975
MonotonicityNot monotonic
2023-12-10T15:26:17.988194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 7
 
3.5%
17 7
 
3.5%
20 7
 
3.5%
19 7
 
3.5%
18 7
 
3.5%
38 6
 
3.0%
25 6
 
3.0%
21 6
 
3.0%
26 5
 
2.5%
23 5
 
2.5%
Other values (82) 136
68.3%
ValueCountFrequency (%)
8 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
11 2
 
1.0%
12 1
 
0.5%
13 2
 
1.0%
14 4
2.0%
15 4
2.0%
16 3
1.5%
17 7
3.5%
ValueCountFrequency (%)
424 1
0.5%
282 1
0.5%
244 1
0.5%
197 1
0.5%
194 1
0.5%
188 1
0.5%
163 1
0.5%
161 1
0.5%
160 1
0.5%
157 1
0.5%

6.20
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.879397
Minimum1
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:18.243170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median6
Q310
95-th percentile25.1
Maximum75
Range74
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.1063042
Coefficient of variation (CV)1.0255543
Kurtosis14.652806
Mean8.879397
Median Absolute Deviation (MAD)3
Skewness3.0397183
Sum1767
Variance82.924775
MonotonicityNot monotonic
2023-12-10T15:26:18.444114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
4 30
15.1%
3 30
15.1%
2 20
10.1%
6 19
9.5%
8 14
 
7.0%
5 13
 
6.5%
7 10
 
5.0%
9 8
 
4.0%
12 6
 
3.0%
10 5
 
2.5%
Other values (22) 44
22.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 20
10.1%
3 30
15.1%
4 30
15.1%
5 13
6.5%
6 19
9.5%
7 10
 
5.0%
8 14
7.0%
9 8
 
4.0%
10 5
 
2.5%
ValueCountFrequency (%)
75 1
0.5%
41 1
0.5%
37 1
0.5%
34 2
1.0%
33 1
0.5%
32 1
0.5%
31 1
0.5%
30 1
0.5%
26 1
0.5%
25 2
1.0%

6.21
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4020101
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:18.641844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q312
95-th percentile25.3
Maximum79
Range78
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.5192095
Coefficient of variation (CV)1.0124654
Kurtosis17.051516
Mean9.4020101
Median Absolute Deviation (MAD)3
Skewness3.3287157
Sum1871
Variance90.615349
MonotonicityNot monotonic
2023-12-10T15:26:18.908150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 32
16.1%
5 22
11.1%
4 18
 
9.0%
2 15
 
7.5%
6 15
 
7.5%
7 15
 
7.5%
8 12
 
6.0%
9 8
 
4.0%
13 6
 
3.0%
10 6
 
3.0%
Other values (22) 50
25.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 15
7.5%
3 32
16.1%
4 18
9.0%
5 22
11.1%
6 15
7.5%
7 15
7.5%
8 12
 
6.0%
9 8
 
4.0%
10 6
 
3.0%
ValueCountFrequency (%)
79 1
 
0.5%
57 1
 
0.5%
37 2
1.0%
35 1
 
0.5%
34 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
28 2
1.0%
25 3
1.5%
24 1
 
0.5%

7.28
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.949749
Minimum2
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:19.606899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q314
95-th percentile29
Maximum93
Range91
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.001998
Coefficient of variation (CV)1.0960981
Kurtosis20.843936
Mean10.949749
Median Absolute Deviation (MAD)3
Skewness3.8768491
Sum2179
Variance144.04797
MonotonicityNot monotonic
2023-12-10T15:26:19.876142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 28
14.1%
3 22
 
11.1%
6 21
 
10.6%
7 16
 
8.0%
5 12
 
6.0%
9 12
 
6.0%
2 9
 
4.5%
10 8
 
4.0%
11 7
 
3.5%
8 6
 
3.0%
Other values (26) 58
29.1%
ValueCountFrequency (%)
2 9
 
4.5%
3 22
11.1%
4 28
14.1%
5 12
6.0%
6 21
10.6%
7 16
8.0%
8 6
 
3.0%
9 12
6.0%
10 8
 
4.0%
11 7
 
3.5%
ValueCountFrequency (%)
93 1
0.5%
90 1
0.5%
60 1
0.5%
48 1
0.5%
42 1
0.5%
40 1
0.5%
34 1
0.5%
31 1
0.5%
30 1
0.5%
29 2
1.0%

8.19
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9849246
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:20.211532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile19
Maximum55
Range54
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.8985999
Coefficient of variation (CV)0.86395304
Kurtosis16.792599
Mean7.9849246
Median Absolute Deviation (MAD)3
Skewness3.372445
Sum1589
Variance47.590681
MonotonicityNot monotonic
2023-12-10T15:26:20.439470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 32
16.1%
7 22
11.1%
4 22
11.1%
6 17
8.5%
5 16
8.0%
9 14
 
7.0%
8 13
 
6.5%
2 13
 
6.5%
13 8
 
4.0%
10 6
 
3.0%
Other values (17) 36
18.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 13
6.5%
3 32
16.1%
4 22
11.1%
5 16
8.0%
6 17
8.5%
7 22
11.1%
8 13
6.5%
9 14
7.0%
10 6
 
3.0%
ValueCountFrequency (%)
55 1
0.5%
48 1
0.5%
36 1
0.5%
27 1
0.5%
26 1
0.5%
25 1
0.5%
23 1
0.5%
21 2
1.0%
19 2
1.0%
18 2
1.0%

10.18
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6582915
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:20.641701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q310
95-th percentile16.1
Maximum24
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.6016926
Coefficient of variation (CV)0.60087718
Kurtosis1.414131
Mean7.6582915
Median Absolute Deviation (MAD)3
Skewness1.153621
Sum1524
Variance21.175575
MonotonicityNot monotonic
2023-12-10T15:26:20.863664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
4 25
12.6%
5 23
11.6%
10 20
10.1%
7 19
9.5%
3 19
9.5%
6 17
8.5%
11 11
 
5.5%
8 11
 
5.5%
9 8
 
4.0%
12 8
 
4.0%
Other values (13) 38
19.1%
ValueCountFrequency (%)
1 5
 
2.5%
2 8
 
4.0%
3 19
9.5%
4 25
12.6%
5 23
11.6%
6 17
8.5%
7 19
9.5%
8 11
5.5%
9 8
 
4.0%
10 20
10.1%
ValueCountFrequency (%)
24 1
 
0.5%
23 2
 
1.0%
22 1
 
0.5%
20 1
 
0.5%
19 2
 
1.0%
18 2
 
1.0%
17 1
 
0.5%
16 3
1.5%
15 3
1.5%
14 6
3.0%

5.15
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.582915
Minimum2
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:21.079702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q313
95-th percentile57.2
Maximum128
Range126
Interquartile range (IQR)9

Descriptive statistics

Standard deviation18.296986
Coefficient of variation (CV)1.3470589
Kurtosis9.9840071
Mean13.582915
Median Absolute Deviation (MAD)4
Skewness2.8714412
Sum2703
Variance334.77971
MonotonicityNot monotonic
2023-12-10T15:26:21.336182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
3 30
15.1%
4 22
11.1%
5 18
 
9.0%
8 17
 
8.5%
2 16
 
8.0%
10 10
 
5.0%
6 10
 
5.0%
11 9
 
4.5%
7 8
 
4.0%
13 7
 
3.5%
Other values (36) 52
26.1%
ValueCountFrequency (%)
2 16
8.0%
3 30
15.1%
4 22
11.1%
5 18
9.0%
6 10
 
5.0%
7 8
 
4.0%
8 17
8.5%
9 3
 
1.5%
10 10
 
5.0%
11 9
 
4.5%
ValueCountFrequency (%)
128 1
0.5%
85 1
0.5%
75 1
0.5%
72 1
0.5%
68 1
0.5%
66 1
0.5%
65 2
1.0%
60 1
0.5%
59 1
0.5%
57 1
0.5%

5.16
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.914573
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:21.577915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q312
95-th percentile35.1
Maximum100
Range99
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.4895
Coefficient of variation (CV)1.1442958
Kurtosis15.407808
Mean10.914573
Median Absolute Deviation (MAD)3
Skewness3.2764772
Sum2172
Variance155.98761
MonotonicityNot monotonic
2023-12-10T15:26:21.845054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
4 24
12.1%
3 24
12.1%
5 22
 
11.1%
6 16
 
8.0%
2 16
 
8.0%
11 11
 
5.5%
8 8
 
4.0%
10 8
 
4.0%
9 8
 
4.0%
14 7
 
3.5%
Other values (29) 55
27.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 16
8.0%
3 24
12.1%
4 24
12.1%
5 22
11.1%
6 16
8.0%
7 6
 
3.0%
8 8
 
4.0%
9 8
 
4.0%
10 8
 
4.0%
ValueCountFrequency (%)
100 1
0.5%
62 2
1.0%
51 1
0.5%
44 2
1.0%
43 1
0.5%
40 1
0.5%
39 1
0.5%
36 1
0.5%
35 2
1.0%
30 1
0.5%

7.29
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.728643
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:22.078651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q313
95-th percentile36.2
Maximum103
Range102
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.94494
Coefficient of variation (CV)1.1889645
Kurtosis19.661774
Mean11.728643
Median Absolute Deviation (MAD)4
Skewness3.8670368
Sum2334
Variance194.46135
MonotonicityNot monotonic
2023-12-10T15:26:22.386522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 22
 
11.1%
4 21
 
10.6%
3 20
 
10.1%
6 19
 
9.5%
7 11
 
5.5%
2 11
 
5.5%
8 9
 
4.5%
12 8
 
4.0%
11 8
 
4.0%
13 7
 
3.5%
Other values (27) 63
31.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
5.5%
3 20
10.1%
4 21
10.6%
5 22
11.1%
6 19
9.5%
7 11
5.5%
8 9
4.5%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
103 1
 
0.5%
100 1
 
0.5%
83 1
 
0.5%
54 1
 
0.5%
44 1
 
0.5%
41 1
 
0.5%
39 3
1.5%
38 1
 
0.5%
36 2
1.0%
33 1
 
0.5%

8.20
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7939698
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:22.676661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median7
Q310
95-th percentile22.3
Maximum67
Range66
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.4675712
Coefficient of variation (CV)0.96288381
Kurtosis19.774945
Mean8.7939698
Median Absolute Deviation (MAD)3
Skewness3.7678764
Sum1750
Variance71.699761
MonotonicityNot monotonic
2023-12-10T15:26:22.912732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3 32
16.1%
7 23
11.6%
5 19
9.5%
4 18
9.0%
8 16
8.0%
6 14
 
7.0%
9 11
 
5.5%
10 10
 
5.0%
2 9
 
4.5%
12 8
 
4.0%
Other values (20) 39
19.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 9
 
4.5%
3 32
16.1%
4 18
9.0%
5 19
9.5%
6 14
7.0%
7 23
11.6%
8 16
8.0%
9 11
 
5.5%
10 10
 
5.0%
ValueCountFrequency (%)
67 1
0.5%
63 1
0.5%
38 1
0.5%
35 1
0.5%
34 1
0.5%
30 1
0.5%
28 1
0.5%
27 1
0.5%
26 1
0.5%
25 1
0.5%

721
Real number (ℝ)

Distinct182
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean916.60302
Minimum174
Maximum2979
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:23.148907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum174
5-th percentile286
Q1454.5
median803
Q31222
95-th percentile2062.2
Maximum2979
Range2805
Interquartile range (IQR)767.5

Descriptive statistics

Standard deviation585.64673
Coefficient of variation (CV)0.6389317
Kurtosis1.8088996
Mean916.60302
Median Absolute Deviation (MAD)360
Skewness1.3301063
Sum182404
Variance342982.09
MonotonicityNot monotonic
2023-12-10T15:26:23.394424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364 3
 
1.5%
638 2
 
1.0%
1018 2
 
1.0%
924 2
 
1.0%
237 2
 
1.0%
456 2
 
1.0%
507 2
 
1.0%
326 2
 
1.0%
501 2
 
1.0%
730 2
 
1.0%
Other values (172) 178
89.4%
ValueCountFrequency (%)
174 1
0.5%
212 1
0.5%
228 1
0.5%
237 2
1.0%
260 1
0.5%
261 1
0.5%
270 1
0.5%
271 1
0.5%
286 2
1.0%
295 1
0.5%
ValueCountFrequency (%)
2979 1
0.5%
2976 1
0.5%
2870 1
0.5%
2821 1
0.5%
2585 1
0.5%
2498 1
0.5%
2473 1
0.5%
2353 1
0.5%
2140 1
0.5%
2100 1
0.5%

12.23
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:23.676233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q312
95-th percentile20.1
Maximum32
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6595321
Coefficient of variation (CV)0.62883689
Kurtosis1.8672258
Mean9
Median Absolute Deviation (MAD)3
Skewness1.2407963
Sum1791
Variance32.030303
MonotonicityNot monotonic
2023-12-10T15:26:23.863138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6 25
12.6%
5 25
12.6%
4 17
 
8.5%
12 15
 
7.5%
7 13
 
6.5%
13 12
 
6.0%
10 12
 
6.0%
9 11
 
5.5%
14 10
 
5.0%
3 10
 
5.0%
Other values (17) 49
24.6%
ValueCountFrequency (%)
1 6
 
3.0%
2 6
 
3.0%
3 10
 
5.0%
4 17
8.5%
5 25
12.6%
6 25
12.6%
7 13
6.5%
8 6
 
3.0%
9 11
5.5%
10 12
6.0%
ValueCountFrequency (%)
32 1
 
0.5%
29 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
22 2
1.0%
21 2
1.0%
20 3
1.5%
19 2
1.0%

45.6
Real number (ℝ)

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.18593
Minimum11
Maximum582
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:24.089133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile17.9
Q130
median51
Q3122
95-th percentile304.1
Maximum582
Range571
Interquartile range (IQR)92

Descriptive statistics

Standard deviation105.03737
Coefficient of variation (CV)1.1034968
Kurtosis4.5105327
Mean95.18593
Median Absolute Deviation (MAD)27
Skewness2.0925133
Sum18942
Variance11032.849
MonotonicityNot monotonic
2023-12-10T15:26:24.318628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 7
 
3.5%
31 5
 
2.5%
19 5
 
2.5%
24 5
 
2.5%
43 4
 
2.0%
61 4
 
2.0%
20 4
 
2.0%
41 4
 
2.0%
47 4
 
2.0%
46 4
 
2.0%
Other values (106) 153
76.9%
ValueCountFrequency (%)
11 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
15 1
 
0.5%
16 2
 
1.0%
17 3
1.5%
18 1
 
0.5%
19 5
2.5%
20 4
2.0%
21 3
1.5%
ValueCountFrequency (%)
582 1
0.5%
482 1
0.5%
478 1
0.5%
462 1
0.5%
449 1
0.5%
386 1
0.5%
384 1
0.5%
360 1
0.5%
357 1
0.5%
341 1
0.5%

45.7
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.21106
Minimum12
Maximum765
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:24.552358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile18.9
Q131
median58
Q3160.5
95-th percentile382.5
Maximum765
Range753
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation136.48316
Coefficient of variation (CV)1.1644222
Kurtosis4.9382045
Mean117.21106
Median Absolute Deviation (MAD)33
Skewness2.0878441
Sum23325
Variance18627.652
MonotonicityNot monotonic
2023-12-10T15:26:24.830217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 6
 
3.0%
24 6
 
3.0%
25 5
 
2.5%
46 5
 
2.5%
22 5
 
2.5%
42 5
 
2.5%
62 4
 
2.0%
23 4
 
2.0%
98 4
 
2.0%
29 4
 
2.0%
Other values (108) 151
75.9%
ValueCountFrequency (%)
12 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
17 3
1.5%
18 2
1.0%
19 3
1.5%
20 3
1.5%
21 2
1.0%
ValueCountFrequency (%)
765 1
0.5%
758 1
0.5%
603 1
0.5%
472 1
0.5%
461 1
0.5%
457 1
0.5%
448 1
0.5%
440 1
0.5%
428 1
0.5%
405 1
0.5%

7.30
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.547739
Minimum2
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:25.089569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median9
Q327
95-th percentile79.2
Maximum154
Range152
Interquartile range (IQR)22

Descriptive statistics

Standard deviation27.411132
Coefficient of variation (CV)1.2721118
Kurtosis3.9877514
Mean21.547739
Median Absolute Deviation (MAD)5
Skewness2.0190367
Sum4288
Variance751.37018
MonotonicityNot monotonic
2023-12-10T15:26:25.343380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 19
 
9.5%
4 18
 
9.0%
5 17
 
8.5%
8 16
 
8.0%
11 14
 
7.0%
7 14
 
7.0%
6 10
 
5.0%
10 7
 
3.5%
9 6
 
3.0%
12 6
 
3.0%
Other values (48) 72
36.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 19
9.5%
4 18
9.0%
5 17
8.5%
6 10
5.0%
7 14
7.0%
8 16
8.0%
9 6
 
3.0%
10 7
 
3.5%
11 14
7.0%
ValueCountFrequency (%)
154 1
0.5%
122 1
0.5%
114 1
0.5%
101 1
0.5%
99 1
0.5%
93 1
0.5%
88 1
0.5%
84 1
0.5%
83 1
0.5%
81 1
0.5%

7.31
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.773869
Minimum2
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:25.601748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15.5
median10
Q324
95-th percentile79.2
Maximum142
Range140
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation25.536152
Coefficient of variation (CV)1.2292439
Kurtosis4.7787939
Mean20.773869
Median Absolute Deviation (MAD)6
Skewness2.1664504
Sum4134
Variance652.09507
MonotonicityNot monotonic
2023-12-10T15:26:25.847502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
3 17
 
8.5%
8 16
 
8.0%
6 15
 
7.5%
5 12
 
6.0%
7 11
 
5.5%
10 10
 
5.0%
14 8
 
4.0%
11 7
 
3.5%
9 7
 
3.5%
Other values (51) 78
39.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 17
8.5%
4 18
9.0%
5 12
6.0%
6 15
7.5%
7 11
5.5%
8 16
8.0%
9 7
 
3.5%
10 10
5.0%
11 7
 
3.5%
ValueCountFrequency (%)
142 1
0.5%
113 1
0.5%
112 1
0.5%
108 2
1.0%
99 1
0.5%
89 2
1.0%
81 2
1.0%
79 1
0.5%
70 1
0.5%
67 1
0.5%

8.21
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.778894
Minimum2
Maximum167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:26.491766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q329.5
95-th percentile81.3
Maximum167
Range165
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation30.376449
Coefficient of variation (CV)1.2774542
Kurtosis7.0851453
Mean23.778894
Median Absolute Deviation (MAD)6
Skewness2.500596
Sum4732
Variance922.72864
MonotonicityNot monotonic
2023-12-10T15:26:26.741071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
5 15
 
7.5%
7 13
 
6.5%
9 12
 
6.0%
8 11
 
5.5%
6 11
 
5.5%
3 11
 
5.5%
12 8
 
4.0%
13 7
 
3.5%
16 6
 
3.0%
Other values (49) 88
44.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 11
5.5%
4 17
8.5%
5 15
7.5%
6 11
5.5%
7 13
6.5%
8 11
5.5%
9 12
6.0%
10 5
 
2.5%
11 6
 
3.0%
ValueCountFrequency (%)
167 1
0.5%
165 1
0.5%
154 1
0.5%
142 1
0.5%
122 1
0.5%
110 1
0.5%
109 1
0.5%
101 2
1.0%
84 1
0.5%
81 1
0.5%

9.11
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.095477
Minimum2
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:26.995925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median9
Q319.5
95-th percentile53.1
Maximum91
Range89
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation17.347486
Coefficient of variation (CV)1.0777864
Kurtosis5.9478035
Mean16.095477
Median Absolute Deviation (MAD)5
Skewness2.3476014
Sum3203
Variance300.93528
MonotonicityNot monotonic
2023-12-10T15:26:27.235282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4 25
 
12.6%
9 18
 
9.0%
5 14
 
7.0%
10 12
 
6.0%
7 12
 
6.0%
6 11
 
5.5%
3 11
 
5.5%
8 9
 
4.5%
11 8
 
4.0%
16 6
 
3.0%
Other values (39) 73
36.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 11
5.5%
4 25
12.6%
5 14
7.0%
6 11
5.5%
7 12
6.0%
8 9
 
4.5%
9 18
9.0%
10 12
6.0%
11 8
 
4.0%
ValueCountFrequency (%)
91 2
1.0%
85 1
0.5%
83 1
0.5%
80 1
0.5%
73 1
0.5%
66 1
0.5%
58 1
0.5%
55 1
0.5%
54 1
0.5%
53 1
0.5%

13.18
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.748744
Minimum2
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:27.435380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q316
95-th percentile32.2
Maximum51
Range49
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.2199381
Coefficient of variation (CV)0.72320366
Kurtosis4.1936479
Mean12.748744
Median Absolute Deviation (MAD)4
Skewness1.9092456
Sum2537
Variance85.007259
MonotonicityNot monotonic
2023-12-10T15:26:27.660844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 21
 
10.6%
5 18
 
9.0%
8 16
 
8.0%
13 13
 
6.5%
9 12
 
6.0%
12 11
 
5.5%
4 10
 
5.0%
11 10
 
5.0%
7 10
 
5.0%
14 9
 
4.5%
Other values (28) 69
34.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 4
 
2.0%
4 10
5.0%
5 18
9.0%
6 21
10.6%
7 10
5.0%
8 16
8.0%
9 12
6.0%
10 7
 
3.5%
11 10
5.0%
ValueCountFrequency (%)
51 1
0.5%
50 1
0.5%
48 1
0.5%
46 1
0.5%
41 1
0.5%
39 1
0.5%
38 1
0.5%
36 2
1.0%
34 1
0.5%
32 1
0.5%

6.22
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.809045
Minimum2
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:27.954628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q339.5
95-th percentile155
Maximum303
Range301
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation53.830108
Coefficient of variation (CV)1.5032545
Kurtosis5.1762846
Mean35.809045
Median Absolute Deviation (MAD)6
Skewness2.2636005
Sum7126
Variance2897.6805
MonotonicityNot monotonic
2023-12-10T15:26:28.224242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
3 17
 
8.5%
6 16
 
8.0%
5 14
 
7.0%
12 11
 
5.5%
10 9
 
4.5%
7 8
 
4.0%
9 8
 
4.0%
8 7
 
3.5%
14 5
 
2.5%
Other values (62) 87
43.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 17
8.5%
4 17
8.5%
5 14
7.0%
6 16
8.0%
7 8
4.0%
8 7
3.5%
9 8
4.0%
10 9
4.5%
11 4
 
2.0%
ValueCountFrequency (%)
303 1
0.5%
241 1
0.5%
216 1
0.5%
209 1
0.5%
206 1
0.5%
202 1
0.5%
190 1
0.5%
179 1
0.5%
159 1
0.5%
155 2
1.0%

6.23
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.718593
Minimum2
Maximum174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:28.488426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median10
Q330.5
95-th percentile93.3
Maximum174
Range172
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation30.650213
Coefficient of variation (CV)1.2922442
Kurtosis5.6543641
Mean23.718593
Median Absolute Deviation (MAD)6
Skewness2.2980968
Sum4720
Variance939.43556
MonotonicityNot monotonic
2023-12-10T15:26:28.738420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
3 16
 
8.0%
4 16
 
8.0%
7 12
 
6.0%
6 12
 
6.0%
8 10
 
5.0%
10 9
 
4.5%
17 6
 
3.0%
14 6
 
3.0%
2 6
 
3.0%
Other values (52) 90
45.2%
ValueCountFrequency (%)
2 6
 
3.0%
3 16
8.0%
4 16
8.0%
5 16
8.0%
6 12
6.0%
7 12
6.0%
8 10
5.0%
9 5
 
2.5%
10 9
4.5%
11 4
 
2.0%
ValueCountFrequency (%)
174 1
0.5%
151 1
0.5%
138 1
0.5%
125 1
0.5%
115 1
0.5%
114 2
1.0%
105 2
1.0%
96 1
0.5%
93 1
0.5%
87 1
0.5%

712.1
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean908.28141
Minimum186
Maximum3140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:29.038338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum186
5-th percentile290.8
Q1446.5
median756
Q31204.5
95-th percentile2047.8
Maximum3140
Range2954
Interquartile range (IQR)758

Descriptive statistics

Standard deviation581.05493
Coefficient of variation (CV)0.63973007
Kurtosis1.5056191
Mean908.28141
Median Absolute Deviation (MAD)352
Skewness1.2673447
Sum180748
Variance337624.83
MonotonicityNot monotonic
2023-12-10T15:26:29.305781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364 4
 
2.0%
756 2
 
1.0%
305 2
 
1.0%
842 2
 
1.0%
924 2
 
1.0%
739 2
 
1.0%
501 2
 
1.0%
379 2
 
1.0%
634 2
 
1.0%
1681 2
 
1.0%
Other values (173) 177
88.9%
ValueCountFrequency (%)
186 1
0.5%
203 1
0.5%
208 1
0.5%
228 1
0.5%
233 1
0.5%
234 1
0.5%
261 1
0.5%
268 1
0.5%
270 1
0.5%
280 1
0.5%
ValueCountFrequency (%)
3140 1
0.5%
2843 1
0.5%
2750 1
0.5%
2478 1
0.5%
2426 1
0.5%
2384 1
0.5%
2319 1
0.5%
2310 1
0.5%
2296 1
0.5%
2208 1
0.5%

8.22
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.949749
Minimum2
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:29.547338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q334.5
95-th percentile78.6
Maximum229
Range227
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation32.391505
Coefficient of variation (CV)1.2982698
Kurtosis10.390029
Mean24.949749
Median Absolute Deviation (MAD)8
Skewness2.8042228
Sum4965
Variance1049.2096
MonotonicityNot monotonic
2023-12-10T15:26:29.771621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
3 14
 
7.0%
6 14
 
7.0%
7 12
 
6.0%
5 11
 
5.5%
9 9
 
4.5%
8 9
 
4.5%
14 6
 
3.0%
15 6
 
3.0%
10 6
 
3.0%
Other values (54) 96
48.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 14
7.0%
4 16
8.0%
5 11
5.5%
6 14
7.0%
7 12
6.0%
8 9
4.5%
9 9
4.5%
10 6
 
3.0%
11 3
 
1.5%
ValueCountFrequency (%)
229 1
0.5%
147 1
0.5%
143 1
0.5%
137 1
0.5%
136 1
0.5%
132 1
0.5%
119 1
0.5%
114 1
0.5%
99 1
0.5%
84 1
0.5%

9.12
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.899497
Minimum2
Maximum119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:30.019675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q324.5
95-th percentile59.1
Maximum119
Range117
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation19.890609
Coefficient of variation (CV)1.1112384
Kurtosis7.1889598
Mean17.899497
Median Absolute Deviation (MAD)6
Skewness2.4737932
Sum3562
Variance395.63631
MonotonicityNot monotonic
2023-12-10T15:26:30.304217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 20
 
10.1%
9 14
 
7.0%
10 14
 
7.0%
5 14
 
7.0%
7 13
 
6.5%
8 12
 
6.0%
6 11
 
5.5%
3 11
 
5.5%
11 7
 
3.5%
18 6
 
3.0%
Other values (41) 77
38.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 11
5.5%
4 20
10.1%
5 14
7.0%
6 11
5.5%
7 13
6.5%
8 12
6.0%
9 14
7.0%
10 14
7.0%
11 7
 
3.5%
ValueCountFrequency (%)
119 1
0.5%
112 1
0.5%
91 1
0.5%
87 1
0.5%
86 1
0.5%
82 1
0.5%
69 1
0.5%
65 1
0.5%
61 1
0.5%
60 1
0.5%

15.21
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.98995
Minimum2
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:30.592678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median13
Q318
95-th percentile39
Maximum63
Range61
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.760473
Coefficient of variation (CV)0.71784583
Kurtosis4.7280538
Mean14.98995
Median Absolute Deviation (MAD)6
Skewness1.9523582
Sum2983
Variance115.78778
MonotonicityNot monotonic
2023-12-10T15:26:30.888887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 19
 
9.5%
17 13
 
6.5%
11 12
 
6.0%
6 12
 
6.0%
15 11
 
5.5%
9 11
 
5.5%
14 10
 
5.0%
8 10
 
5.0%
5 10
 
5.0%
20 8
 
4.0%
Other values (30) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 8
4.0%
5 10
5.0%
6 12
6.0%
7 19
9.5%
8 10
5.0%
9 11
5.5%
10 6
 
3.0%
11 12
6.0%
ValueCountFrequency (%)
63 1
0.5%
59 2
1.0%
51 1
0.5%
47 1
0.5%
45 1
0.5%
44 1
0.5%
41 1
0.5%
40 1
0.5%
39 2
1.0%
38 1
0.5%

123
Real number (ℝ)

Distinct133
Distinct (%)66.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.31658
Minimum0
Maximum534
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:31.108243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.8
Q162
median100
Q3142
95-th percentile230.3
Maximum534
Range534
Interquartile range (IQR)80

Descriptive statistics

Standard deviation69.844454
Coefficient of variation (CV)0.61636569
Kurtosis8.5169966
Mean113.31658
Median Absolute Deviation (MAD)40
Skewness2.1880503
Sum22550
Variance4878.2478
MonotonicityNot monotonic
2023-12-10T15:26:31.363042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62 5
 
2.5%
60 4
 
2.0%
85 3
 
1.5%
64 3
 
1.5%
129 3
 
1.5%
53 3
 
1.5%
55 3
 
1.5%
158 3
 
1.5%
117 3
 
1.5%
58 3
 
1.5%
Other values (123) 166
83.4%
ValueCountFrequency (%)
0 1
 
0.5%
20 1
 
0.5%
31 1
 
0.5%
32 1
 
0.5%
35 1
 
0.5%
36 1
 
0.5%
37 2
1.0%
40 2
1.0%
42 1
 
0.5%
43 3
1.5%
ValueCountFrequency (%)
534 1
0.5%
434 1
0.5%
373 1
0.5%
315 1
0.5%
276 1
0.5%
265 1
0.5%
257 1
0.5%
241 1
0.5%
235 1
0.5%
233 1
0.5%

125.1
Real number (ℝ)

Distinct139
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.95477
Minimum0
Maximum758
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:31.575383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44.6
Q171
median114
Q3171.5
95-th percentile290
Maximum758
Range758
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation95.457712
Coefficient of variation (CV)0.70212843
Kurtosis11.829304
Mean135.95477
Median Absolute Deviation (MAD)47
Skewness2.6266352
Sum27055
Variance9112.1747
MonotonicityNot monotonic
2023-12-10T15:26:31.789442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
69 6
 
3.0%
76 5
 
2.5%
114 4
 
2.0%
75 4
 
2.0%
129 4
 
2.0%
87 3
 
1.5%
117 3
 
1.5%
54 3
 
1.5%
130 3
 
1.5%
65 3
 
1.5%
Other values (129) 161
80.9%
ValueCountFrequency (%)
0 1
0.5%
28 1
0.5%
33 1
0.5%
34 1
0.5%
35 1
0.5%
37 1
0.5%
38 2
1.0%
39 1
0.5%
41 1
0.5%
45 1
0.5%
ValueCountFrequency (%)
758 1
0.5%
629 1
0.5%
441 1
0.5%
395 1
0.5%
362 1
0.5%
339 1
0.5%
321 1
0.5%
319 1
0.5%
303 1
0.5%
299 1
0.5%

19.9
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.025126
Minimum0
Maximum128
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:32.039461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median18
Q329.5
95-th percentile49.2
Maximum128
Range128
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation15.558114
Coefficient of variation (CV)0.70638028
Kurtosis10.351858
Mean22.025126
Median Absolute Deviation (MAD)8
Skewness2.313747
Sum4383
Variance242.05492
MonotonicityNot monotonic
2023-12-10T15:26:32.701535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
13 14
 
7.0%
11 11
 
5.5%
10 11
 
5.5%
7 10
 
5.0%
8 10
 
5.0%
20 9
 
4.5%
12 9
 
4.5%
9 8
 
4.0%
15 8
 
4.0%
14 6
 
3.0%
Other values (38) 103
51.8%
ValueCountFrequency (%)
0 1
 
0.5%
5 1
 
0.5%
6 2
 
1.0%
7 10
5.0%
8 10
5.0%
9 8
4.0%
10 11
5.5%
11 11
5.5%
12 9
4.5%
13 14
7.0%
ValueCountFrequency (%)
128 1
 
0.5%
66 2
1.0%
61 1
 
0.5%
60 1
 
0.5%
57 3
1.5%
52 1
 
0.5%
51 1
 
0.5%
49 2
1.0%
47 2
1.0%
45 2
1.0%

19.10
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.271357
Minimum0
Maximum133
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:32.973371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median18
Q327
95-th percentile47
Maximum133
Range133
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.12504
Coefficient of variation (CV)0.72402592
Kurtosis14.129245
Mean22.271357
Median Absolute Deviation (MAD)7
Skewness2.9495615
Sum4432
Variance260.0169
MonotonicityNot monotonic
2023-12-10T15:26:33.223345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11 12
 
6.0%
9 11
 
5.5%
16 10
 
5.0%
10 10
 
5.0%
17 9
 
4.5%
14 8
 
4.0%
23 8
 
4.0%
13 7
 
3.5%
22 7
 
3.5%
12 7
 
3.5%
Other values (39) 110
55.3%
ValueCountFrequency (%)
0 1
 
0.5%
5 2
 
1.0%
6 3
 
1.5%
7 5
2.5%
8 5
2.5%
9 11
5.5%
10 10
5.0%
11 12
6.0%
12 7
3.5%
13 7
3.5%
ValueCountFrequency (%)
133 1
0.5%
98 1
0.5%
92 1
0.5%
68 1
0.5%
62 1
0.5%
60 1
0.5%
54 1
0.5%
48 2
1.0%
47 2
1.0%
46 2
1.0%

23.7
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.331658
Minimum0
Maximum157
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:33.538306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q114
median21
Q332
95-th percentile59.1
Maximum157
Range157
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.381725
Coefficient of variation (CV)0.77403878
Kurtosis14.662415
Mean26.331658
Median Absolute Deviation (MAD)8
Skewness3.1280353
Sum5240
Variance415.4147
MonotonicityNot monotonic
2023-12-10T15:26:34.049519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 10
 
5.0%
15 9
 
4.5%
19 9
 
4.5%
20 8
 
4.0%
14 8
 
4.0%
18 8
 
4.0%
11 7
 
3.5%
25 7
 
3.5%
24 7
 
3.5%
9 6
 
3.0%
Other values (50) 120
60.3%
ValueCountFrequency (%)
0 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
7 3
 
1.5%
8 5
2.5%
9 6
3.0%
10 10
5.0%
11 7
3.5%
12 6
3.0%
13 6
3.0%
ValueCountFrequency (%)
157 1
0.5%
143 1
0.5%
118 1
0.5%
84 1
0.5%
74 1
0.5%
72 1
0.5%
70 1
0.5%
64 1
0.5%
61 1
0.5%
60 1
0.5%

26.7
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.919598
Minimum0
Maximum89
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:34.444671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q111.5
median18
Q326
95-th percentile44
Maximum89
Range89
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation13.409765
Coefficient of variation (CV)0.64101445
Kurtosis6.1754111
Mean20.919598
Median Absolute Deviation (MAD)7
Skewness2.0519442
Sum4163
Variance179.82179
MonotonicityNot monotonic
2023-12-10T15:26:34.671161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
11 15
 
7.5%
12 13
 
6.5%
24 11
 
5.5%
9 10
 
5.0%
21 8
 
4.0%
20 8
 
4.0%
13 8
 
4.0%
10 8
 
4.0%
18 7
 
3.5%
17 7
 
3.5%
Other values (35) 104
52.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 1
 
0.5%
6 4
 
2.0%
7 4
 
2.0%
8 7
3.5%
9 10
5.0%
10 8
4.0%
11 15
7.5%
12 13
6.5%
13 8
4.0%
ValueCountFrequency (%)
89 1
 
0.5%
81 1
 
0.5%
72 2
1.0%
59 1
 
0.5%
53 2
1.0%
52 1
 
0.5%
45 1
 
0.5%
44 2
1.0%
43 3
1.5%
41 2
1.0%

35.6
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.18593
Minimum0
Maximum67
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:34.876096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median17
Q329
95-th percentile46
Maximum67
Range67
Interquartile range (IQR)17

Descriptive statistics

Standard deviation13.314403
Coefficient of variation (CV)0.628455
Kurtosis0.80008244
Mean21.18593
Median Absolute Deviation (MAD)8
Skewness1.00043
Sum4216
Variance177.27334
MonotonicityNot monotonic
2023-12-10T15:26:35.150960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 12
 
6.0%
15 11
 
5.5%
17 11
 
5.5%
6 9
 
4.5%
24 8
 
4.0%
19 7
 
3.5%
14 7
 
3.5%
8 7
 
3.5%
20 6
 
3.0%
35 6
 
3.0%
Other values (42) 115
57.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 2
 
1.0%
4 2
 
1.0%
5 5
2.5%
6 9
4.5%
7 6
3.0%
8 7
3.5%
9 5
2.5%
10 5
2.5%
ValueCountFrequency (%)
67 1
0.5%
65 1
0.5%
64 1
0.5%
56 1
0.5%
55 2
1.0%
49 1
0.5%
48 2
1.0%
46 2
1.0%
45 1
0.5%
44 2
1.0%

766
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean938.02513
Minimum210
Maximum3692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:35.417906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum210
5-th percentile308.9
Q1470.5
median797
Q31210
95-th percentile2029.3
Maximum3692
Range3482
Interquartile range (IQR)739.5

Descriptive statistics

Standard deviation600.5684
Coefficient of variation (CV)0.64024767
Kurtosis2.4011714
Mean938.02513
Median Absolute Deviation (MAD)358
Skewness1.3943804
Sum186667
Variance360682.41
MonotonicityNot monotonic
2023-12-10T15:26:35.700001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
905 3
 
1.5%
371 3
 
1.5%
704 2
 
1.0%
1961 2
 
1.0%
958 2
 
1.0%
797 2
 
1.0%
310 2
 
1.0%
538 2
 
1.0%
606 2
 
1.0%
341 2
 
1.0%
Other values (173) 177
88.9%
ValueCountFrequency (%)
210 1
0.5%
223 1
0.5%
225 1
0.5%
241 1
0.5%
252 1
0.5%
264 1
0.5%
278 1
0.5%
287 1
0.5%
292 1
0.5%
299 1
0.5%
ValueCountFrequency (%)
3692 1
0.5%
2979 1
0.5%
2599 1
0.5%
2551 1
0.5%
2545 1
0.5%
2481 1
0.5%
2415 1
0.5%
2413 1
0.5%
2309 1
0.5%
2104 1
0.5%

18.8
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.763819
Minimum0
Maximum193
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:35.954875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q113
median21
Q337
95-th percentile79.1
Maximum193
Range193
Interquartile range (IQR)24

Descriptive statistics

Standard deviation24.426958
Coefficient of variation (CV)0.84922512
Kurtosis10.362167
Mean28.763819
Median Absolute Deviation (MAD)11
Skewness2.4984952
Sum5724
Variance596.67626
MonotonicityNot monotonic
2023-12-10T15:26:36.217954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 12
 
6.0%
15 10
 
5.0%
26 9
 
4.5%
9 8
 
4.0%
12 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
13 7
 
3.5%
18 6
 
3.0%
7 6
 
3.0%
Other values (54) 119
59.8%
ValueCountFrequency (%)
0 1
 
0.5%
5 1
 
0.5%
6 2
 
1.0%
7 6
3.0%
8 6
3.0%
9 8
4.0%
10 12
6.0%
11 5
2.5%
12 8
4.0%
13 7
3.5%
ValueCountFrequency (%)
193 1
 
0.5%
99 1
 
0.5%
97 1
 
0.5%
95 3
1.5%
85 2
1.0%
84 1
 
0.5%
80 1
 
0.5%
79 2
1.0%
75 1
 
0.5%
73 1
 
0.5%

17.12
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.758794
Minimum0
Maximum176
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:36.570718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median19
Q332
95-th percentile62
Maximum176
Range176
Interquartile range (IQR)19

Descriptive statistics

Standard deviation21.421978
Coefficient of variation (CV)0.83163744
Kurtosis14.178333
Mean25.758794
Median Absolute Deviation (MAD)9
Skewness2.9736712
Sum5126
Variance458.90112
MonotonicityNot monotonic
2023-12-10T15:26:36.825650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 10
 
5.0%
11 8
 
4.0%
18 8
 
4.0%
20 8
 
4.0%
13 8
 
4.0%
17 8
 
4.0%
10 8
 
4.0%
9 7
 
3.5%
15 7
 
3.5%
7 7
 
3.5%
Other values (49) 120
60.3%
ValueCountFrequency (%)
0 1
 
0.5%
5 1
 
0.5%
6 7
3.5%
7 7
3.5%
8 5
2.5%
9 7
3.5%
10 8
4.0%
11 8
4.0%
12 4
2.0%
13 8
4.0%
ValueCountFrequency (%)
176 1
0.5%
122 1
0.5%
102 1
0.5%
95 1
0.5%
79 1
0.5%
77 1
0.5%
73 1
0.5%
72 1
0.5%
69 1
0.5%
62 2
1.0%

22.10
Real number (ℝ)

Distinct69
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.075377
Minimum0
Maximum198
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:37.108893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q115
median22
Q338
95-th percentile74.2
Maximum198
Range198
Interquartile range (IQR)23

Descriptive statistics

Standard deviation29.472284
Coefficient of variation (CV)0.94841275
Kurtosis14.14571
Mean31.075377
Median Absolute Deviation (MAD)10
Skewness3.285569
Sum6184
Variance868.6155
MonotonicityNot monotonic
2023-12-10T15:26:37.389441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 9
 
4.5%
9 8
 
4.0%
12 8
 
4.0%
21 8
 
4.0%
8 7
 
3.5%
27 7
 
3.5%
20 7
 
3.5%
16 7
 
3.5%
11 7
 
3.5%
22 6
 
3.0%
Other values (59) 125
62.8%
ValueCountFrequency (%)
0 1
 
0.5%
5 1
 
0.5%
6 2
 
1.0%
7 5
2.5%
8 7
3.5%
9 8
4.0%
10 3
 
1.5%
11 7
3.5%
12 8
4.0%
13 4
2.0%
ValueCountFrequency (%)
198 1
0.5%
195 1
0.5%
190 1
0.5%
141 1
0.5%
136 1
0.5%
99 1
0.5%
93 1
0.5%
83 1
0.5%
82 1
0.5%
76 1
0.5%

26.8
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.713568
Minimum0
Maximum129
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:37.705807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q113
median20
Q329
95-th percentile53.2
Maximum129
Range129
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.459712
Coefficient of variation (CV)0.74694647
Kurtosis11.758008
Mean24.713568
Median Absolute Deviation (MAD)8
Skewness2.874018
Sum4918
Variance340.76098
MonotonicityNot monotonic
2023-12-10T15:26:37.963727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
13 10
 
5.0%
28 9
 
4.5%
12 9
 
4.5%
20 8
 
4.0%
25 8
 
4.0%
16 8
 
4.0%
9 7
 
3.5%
17 7
 
3.5%
15 7
 
3.5%
Other values (45) 112
56.3%
ValueCountFrequency (%)
0 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 1
 
0.5%
8 6
3.0%
9 7
3.5%
10 4
 
2.0%
11 14
7.0%
12 9
4.5%
13 10
5.0%
ValueCountFrequency (%)
129 1
0.5%
123 1
0.5%
119 1
0.5%
86 1
0.5%
76 1
0.5%
74 1
0.5%
62 1
0.5%
60 1
0.5%
57 1
0.5%
55 1
0.5%

42.3
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.251256
Minimum0
Maximum90
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:38.658254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median22
Q337
95-th percentile54.1
Maximum90
Range90
Interquartile range (IQR)23

Descriptive statistics

Standard deviation16.726474
Coefficient of variation (CV)0.63716852
Kurtosis1.1544072
Mean26.251256
Median Absolute Deviation (MAD)10
Skewness1.0438147
Sum5224
Variance279.77494
MonotonicityNot monotonic
2023-12-10T15:26:38.914879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 10
 
5.0%
15 8
 
4.0%
19 7
 
3.5%
11 7
 
3.5%
8 7
 
3.5%
25 6
 
3.0%
13 6
 
3.0%
10 6
 
3.0%
46 5
 
2.5%
29 5
 
2.5%
Other values (51) 132
66.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
4 1
 
0.5%
5 4
2.0%
6 4
2.0%
7 4
2.0%
8 7
3.5%
9 2
 
1.0%
10 6
3.0%
ValueCountFrequency (%)
90 1
0.5%
80 1
0.5%
78 1
0.5%
73 1
0.5%
71 1
0.5%
70 1
0.5%
67 1
0.5%
65 1
0.5%
55 2
1.0%
54 1
0.5%

72.4
Real number (ℝ)

Distinct115
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.507538
Minimum18
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:39.182367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile25.9
Q143
median72
Q3105
95-th percentile225.1
Maximum423
Range405
Interquartile range (IQR)62

Descriptive statistics

Standard deviation67.616631
Coefficient of variation (CV)0.76396466
Kurtosis6.29378
Mean88.507538
Median Absolute Deviation (MAD)31
Skewness2.2382573
Sum17613
Variance4572.0088
MonotonicityNot monotonic
2023-12-10T15:26:39.449229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 5
 
2.5%
35 5
 
2.5%
50 4
 
2.0%
69 4
 
2.0%
67 4
 
2.0%
31 4
 
2.0%
74 4
 
2.0%
60 4
 
2.0%
99 3
 
1.5%
89 3
 
1.5%
Other values (105) 159
79.9%
ValueCountFrequency (%)
18 1
 
0.5%
21 2
1.0%
22 2
1.0%
23 1
 
0.5%
24 1
 
0.5%
25 3
1.5%
26 1
 
0.5%
27 1
 
0.5%
28 2
1.0%
30 3
1.5%
ValueCountFrequency (%)
423 1
0.5%
388 1
0.5%
344 1
0.5%
332 1
0.5%
331 1
0.5%
261 1
0.5%
254 2
1.0%
253 1
0.5%
235 1
0.5%
224 1
0.5%

73.5
Real number (ℝ)

Distinct123
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.42211
Minimum20
Maximum541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:39.707783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile28.9
Q146.5
median77
Q3128
95-th percentile274.2
Maximum541
Range521
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation90.35353
Coefficient of variation (CV)0.85706432
Kurtosis6.2090635
Mean105.42211
Median Absolute Deviation (MAD)36
Skewness2.312228
Sum20979
Variance8163.7603
MonotonicityNot monotonic
2023-12-10T15:26:39.972622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 5
 
2.5%
41 5
 
2.5%
38 5
 
2.5%
76 5
 
2.5%
74 5
 
2.5%
35 5
 
2.5%
99 4
 
2.0%
31 4
 
2.0%
67 3
 
1.5%
159 3
 
1.5%
Other values (113) 155
77.9%
ValueCountFrequency (%)
20 1
 
0.5%
21 1
 
0.5%
22 2
1.0%
24 1
 
0.5%
26 2
1.0%
27 1
 
0.5%
28 2
1.0%
29 2
1.0%
30 1
 
0.5%
31 4
2.0%
ValueCountFrequency (%)
541 1
0.5%
485 1
0.5%
464 1
0.5%
423 1
0.5%
391 2
1.0%
383 1
0.5%
366 1
0.5%
350 1
0.5%
321 1
0.5%
269 1
0.5%

11.25
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.733668
Minimum3
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:40.292310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median13
Q324
95-th percentile58.1
Maximum196
Range193
Interquartile range (IQR)16

Descriptive statistics

Standard deviation23.423946
Coefficient of variation (CV)1.129754
Kurtosis19.954022
Mean20.733668
Median Absolute Deviation (MAD)6
Skewness3.7550322
Sum4126
Variance548.68123
MonotonicityNot monotonic
2023-12-10T15:26:40.580992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 13
 
6.5%
6 13
 
6.5%
5 12
 
6.0%
8 12
 
6.0%
7 11
 
5.5%
13 10
 
5.0%
4 9
 
4.5%
9 8
 
4.0%
18 7
 
3.5%
11 7
 
3.5%
Other values (41) 97
48.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 9
4.5%
5 12
6.0%
6 13
6.5%
7 11
5.5%
8 12
6.0%
9 8
4.0%
10 7
3.5%
11 7
3.5%
12 13
6.5%
ValueCountFrequency (%)
196 1
0.5%
139 1
0.5%
111 2
1.0%
82 1
0.5%
76 1
0.5%
75 1
0.5%
71 1
0.5%
65 1
0.5%
59 1
0.5%
58 1
0.5%

11.26
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.321608
Minimum3
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:40.888870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median14
Q323
95-th percentile49.1
Maximum99
Range96
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.667217
Coefficient of variation (CV)0.8551224
Kurtosis6.8158452
Mean18.321608
Median Absolute Deviation (MAD)7
Skewness2.3222159
Sum3646
Variance245.4617
MonotonicityNot monotonic
2023-12-10T15:26:41.166588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 13
 
6.5%
17 12
 
6.0%
5 12
 
6.0%
6 11
 
5.5%
13 11
 
5.5%
9 11
 
5.5%
7 10
 
5.0%
8 10
 
5.0%
11 9
 
4.5%
14 8
 
4.0%
Other values (40) 92
46.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 8
4.0%
5 12
6.0%
6 11
5.5%
7 10
5.0%
8 10
5.0%
9 11
5.5%
10 13
6.5%
11 9
4.5%
12 3
 
1.5%
ValueCountFrequency (%)
99 1
0.5%
88 1
0.5%
85 1
0.5%
68 1
0.5%
65 2
1.0%
58 1
0.5%
53 1
0.5%
51 1
0.5%
50 1
0.5%
49 1
0.5%

13.19
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.58794
Minimum4
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:26:41.453329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q19
median14
Q324.5
95-th percentile58.2
Maximum136
Range132
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation19.022609
Coefficient of variation (CV)0.92396856
Kurtosis10.143103
Mean20.58794
Median Absolute Deviation (MAD)7
Skewness2.751937
Sum4097
Variance361.85965
MonotonicityNot monotonic
2023-12-10T15:26:42.108010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 13
 
6.5%
12 13
 
6.5%
14 13
 
6.5%
6 12
 
6.0%
9 10
 
5.0%
8 9
 
4.5%
5 8
 
4.0%
15 7
 
3.5%
11 6
 
3.0%
19 6
 
3.0%
Other values (42) 102
51.3%
ValueCountFrequency (%)
4 5
 
2.5%
5 8
4.0%
6 12
6.0%
7 13
6.5%
8 9
4.5%
9 10
5.0%
10 6
3.0%
11 6
3.0%
12 13
6.5%
13 5
 
2.5%
ValueCountFrequency (%)
136 1
0.5%
105 1
0.5%
99 1
0.5%
94 1
0.5%
71 1
0.5%
68 1
0.5%
63 2
1.0%
62 1
0.5%
60 1
0.5%
58 1
0.5%

Sample

1425176131369669015211010.11315.125798012690.112.115.217231111.1141627361603766.17810.255.17.18.17312.24545.17.27.38.2913.16.26.3908.39.115.31221241919.123.126352481817.12225.1427272.111.211.313.214515.421.110.310.413.315.52480.18113.415912.315.617.223.212.411.415.717.327.137.173.137.26.46.57.48.411.55.25.37.58.590.113.545.2467.67.78.610.513.67.86.65589942468.79.215.8124.112519.219.323.326.136.114418.117.422.126.242.173.273.311.611.714.116115.921.211.810.613.715.1025.279.180.212.57412.615.1117.523.411.911.1014.216.127.236.29137.36.76.87.98.810.75.45.57.108.924912.745.345.47.117.128.109.313.86.96.101468.119.415.12122.1124.219.419.523.526.335.1159.118.217.622.225.342.272.272.311.1111.1213.973.415.1321.310.810.913.1015.1424.1858613.1190.213.1216.218.324.212.812.915.1518.4293911305534246.139.16.116.127.138.1211.136.135.67.148.13144.113.1348498.147.159.510.1014.37.167.171719.610.1116.313213321.42025.428387819.618.524.327.345.57778.112.1012.1114.49716.422.311.1411.1514.516.526.477.177.212.1226512.1314.616.622.411.1611.1714.716.726.535.215535.35.75.87.187.1910.125.95.106.147.2015412.1443447.217.228.159.712.156.156.16708.169.815.1611912019.718.622.525.5348717.717.822.625.64070.170.211.1811.1913.1422018323915.1720.110.1310.1413.1514.824.477.377.412.1614012.1714.916.822.711.2011.2114.1016.926.635.4154.135.55.115.127.237.2410.155.135.146.177.2570.312.1843.144.17.267.278.179.912.196.186.1987.18.189.1015.18119.1120.119.818.722.825.734.1239.117.917.1022.925.840.170.470.511.2211.2313.16140.115.1920.210.1610.1713.1714.1124.580.380.412.2071612.2115.2017.1123.612.2211.2414.1216.1027.436.371237.46.206.217.288.1910.185.155.167.298.2072112.2345.645.77.307.318.219.1113.186.226.23712.18.229.1215.21123125.119.919.1023.726.735.676618.817.1222.1026.842.372.473.511.2511.2613.19
088376612937004349149889175557943410101016109810192511126454574445519323256569656356118688141615162517215141316305052810910191498891855579112101010161098101925512645457444564931325656965553860174561186871416151624102151413163050528109112914988918555795110101016109810192563264545744451739323256569651025611868814161516251121514131630505281095191498891856579641110101610981119261150064017426454575445102932325656965113561187881416151625521514131630515281096491598810184849817598914887917221032244446443497827284555854444597476121413142155131211142644447882830121508128778154849888989148879172297224444644344482728455585455459747612141314211501312111426444478888812877815555694981010101610981019255032645457444550193132565696550356118587141615162450715141316305051899
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