Overview

Dataset statistics

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

Variable types

Numeric472
Categorical54

Alerts

26110510 is highly imbalanced (83.1%)Imbalance
0 is highly imbalanced (75.7%)Imbalance
0.1 is highly imbalanced (75.7%)Imbalance
0.2 is highly imbalanced (75.7%)Imbalance
0.3 is highly imbalanced (75.7%)Imbalance
0.4 is highly imbalanced (66.2%)Imbalance
0.6 is highly imbalanced (61.8%)Imbalance
0.7 is highly imbalanced (66.2%)Imbalance
0.8 is highly imbalanced (69.5%)Imbalance
0.10 is highly imbalanced (61.8%)Imbalance
0.11 is highly imbalanced (52.2%)Imbalance
0.12 is highly imbalanced (50.9%)Imbalance
0.14 is highly imbalanced (66.2%)Imbalance
0.15 is highly imbalanced (74.1%)Imbalance
0.16 is highly imbalanced (74.1%)Imbalance
0.17 is highly imbalanced (75.7%)Imbalance
0.18 is highly imbalanced (75.7%)Imbalance
0.19 is highly imbalanced (75.7%)Imbalance
0.20 is highly imbalanced (75.7%)Imbalance
0.21 is highly imbalanced (69.5%)Imbalance
0.23 is highly imbalanced (61.8%)Imbalance
0.24 is highly imbalanced (61.8%)Imbalance
0.25 is highly imbalanced (69.5%)Imbalance
0.27 is highly imbalanced (61.8%)Imbalance
0.28 is highly imbalanced (50.9%)Imbalance
H is highly imbalanced (69.2%)Imbalance
0.31 is highly imbalanced (61.8%)Imbalance
0.32 is highly imbalanced (74.1%)Imbalance
0.33 is highly imbalanced (74.1%)Imbalance
0.34 is highly imbalanced (75.7%)Imbalance
0.35 is highly imbalanced (75.7%)Imbalance
0.36 is highly imbalanced (75.7%)Imbalance
0.37 is highly imbalanced (75.7%)Imbalance
0.38 is highly imbalanced (61.8%)Imbalance
Unnamed: 445 is highly imbalanced (77.6%)Imbalance
0.40 is highly imbalanced (61.8%)Imbalance
0.41 is highly imbalanced (69.5%)Imbalance
0.42 is highly imbalanced (69.5%)Imbalance
0.43 is highly imbalanced (69.5%)Imbalance
0.44 is highly imbalanced (61.8%)Imbalance
0.45 is highly imbalanced (61.8%)Imbalance
0.46 is highly imbalanced (50.9%)Imbalance
0.47 is highly imbalanced (61.8%)Imbalance
0.48 is highly imbalanced (69.5%)Imbalance
0.49 is highly imbalanced (74.1%)Imbalance
0.50 is highly imbalanced (61.8%)Imbalance
1035052950 has unique valuesUnique
607 has 19 (9.5%) zerosZeros
296 has 3 (1.5%) zerosZeros
421 has 3 (1.5%) zerosZeros
83 has 3 (1.5%) zerosZeros
72 has 3 (1.5%) zerosZeros
67 has 3 (1.5%) zerosZeros
50 has 3 (1.5%) zerosZeros
23.2 has 3 (1.5%) zerosZeros
159 has 3 (1.5%) zerosZeros
102.2 has 3 (1.5%) zerosZeros
76 has 3 (1.5%) zerosZeros
57 has 3 (1.5%) zerosZeros
27.1 has 3 (1.5%) zerosZeros
278 has 3 (1.5%) zerosZeros
429 has 3 (1.5%) zerosZeros
74 has 3 (1.5%) zerosZeros
70 has 3 (1.5%) zerosZeros
65 has 3 (1.5%) zerosZeros
46 has 3 (1.5%) zerosZeros
23.5 has 3 (1.5%) zerosZeros
165 has 3 (1.5%) zerosZeros
99.1 has 3 (1.5%) zerosZeros
77 has 3 (1.5%) zerosZeros
61 has 3 (1.5%) zerosZeros
27.2 has 3 (1.5%) zerosZeros
302 has 3 (1.5%) zerosZeros
477 has 3 (1.5%) zerosZeros
85.1 has 3 (1.5%) zerosZeros
76.1 has 3 (1.5%) zerosZeros
70.1 has 3 (1.5%) zerosZeros
48 has 3 (1.5%) zerosZeros
23.7 has 3 (1.5%) zerosZeros
189 has 3 (1.5%) zerosZeros
111 has 3 (1.5%) zerosZeros
86 has 3 (1.5%) zerosZeros
61.1 has 3 (1.5%) zerosZeros
29.1 has 3 (1.5%) zerosZeros
341 has 3 (1.5%) zerosZeros
548 has 3 (1.5%) zerosZeros
91.2 has 3 (1.5%) zerosZeros
88.1 has 3 (1.5%) zerosZeros
79.1 has 3 (1.5%) zerosZeros
56.3 has 3 (1.5%) zerosZeros
28.2 has 3 (1.5%) zerosZeros
214 has 3 (1.5%) zerosZeros
133 has 3 (1.5%) zerosZeros
96.1 has 3 (1.5%) zerosZeros
75.2 has 3 (1.5%) zerosZeros
30 has 3 (1.5%) zerosZeros
23.9 has 3 (1.5%) zerosZeros
27.5 has 3 (1.5%) zerosZeros
9.6 has 3 (1.5%) zerosZeros
12.7 has 3 (1.5%) zerosZeros
10.10 has 3 (1.5%) zerosZeros
5.1 has 3 (1.5%) zerosZeros
8.12 has 3 (1.5%) zerosZeros
9.7 has 3 (1.5%) zerosZeros
4.8 has 3 (1.5%) zerosZeros
3.3 has 3 (1.5%) zerosZeros
19.3 has 3 (1.5%) zerosZeros
19.4 has 3 (1.5%) zerosZeros
18.3 has 3 (1.5%) zerosZeros
12.8 has 3 (1.5%) zerosZeros
6.1 has 3 (1.5%) zerosZeros
22.7 has 3 (1.5%) zerosZeros
22.8 has 3 (1.5%) zerosZeros
13.7 has 3 (1.5%) zerosZeros
8.13 has 3 (1.5%) zerosZeros
15.9 has 3 (1.5%) zerosZeros
21.4 has 3 (1.5%) zerosZeros
13.8 has 3 (1.5%) zerosZeros
6.2 has 3 (1.5%) zerosZeros
11.8 has 3 (1.5%) zerosZeros
22.9 has 3 (1.5%) zerosZeros
31.2 has 3 (1.5%) zerosZeros
51.3 has 3 (1.5%) zerosZeros
14.10 has 3 (1.5%) zerosZeros
10.11 has 3 (1.5%) zerosZeros
14.11 has 3 (1.5%) zerosZeros
9.8 has 3 (1.5%) zerosZeros
4.9 has 3 (1.5%) zerosZeros
18.4 has 3 (1.5%) zerosZeros
10.12 has 3 (1.5%) zerosZeros
12.9 has 3 (1.5%) zerosZeros
7.8 has 3 (1.5%) zerosZeros
2.5 has 3 (1.5%) zerosZeros
93 has 3 (1.5%) zerosZeros
20.5 has 3 (1.5%) zerosZeros
24.10 has 3 (1.5%) zerosZeros
28.5 has 3 (1.5%) zerosZeros
14.12 has 3 (1.5%) zerosZeros
7.9 has 3 (1.5%) zerosZeros
41.3 has 3 (1.5%) zerosZeros
31.3 has 3 (1.5%) zerosZeros
33.4 has 3 (1.5%) zerosZeros
15.10 has 3 (1.5%) zerosZeros
8.14 has 3 (1.5%) zerosZeros
39.3 has 3 (1.5%) zerosZeros
53.1 has 3 (1.5%) zerosZeros
56.4 has 3 (1.5%) zerosZeros
26.5 has 3 (1.5%) zerosZeros
15.11 has 3 (1.5%) zerosZeros
77.3 has 3 (1.5%) zerosZeros
71 has 3 (1.5%) zerosZeros
64.2 has 3 (1.5%) zerosZeros
36.2 has 3 (1.5%) zerosZeros
21.6 has 3 (1.5%) zerosZeros
25.2 has 22 (11.1%) zerosZeros
35.1 has 3 (1.5%) zerosZeros
33.5 has 3 (1.5%) zerosZeros
17 has 22 (11.1%) zerosZeros
9.9 has 22 (11.1%) zerosZeros
55.1 has 3 (1.5%) zerosZeros
48.2 has 3 (1.5%) zerosZeros
44.2 has 3 (1.5%) zerosZeros
24.11 has 22 (11.1%) zerosZeros
14.13 has 22 (11.1%) zerosZeros
245 has 19 (9.5%) zerosZeros
362 has 19 (9.5%) zerosZeros
66.2 has 19 (9.5%) zerosZeros
69.1 has 19 (9.5%) zerosZeros
60.6 has 22 (11.1%) zerosZeros
33.6 has 22 (11.1%) zerosZeros
16.3 has 35 (17.6%) zerosZeros
127.1 has 19 (9.5%) zerosZeros
90 has 19 (9.5%) zerosZeros
77.4 has 19 (9.5%) zerosZeros
47.1 has 22 (11.1%) zerosZeros
21.7 has 35 (17.6%) zerosZeros
717 has 3 (1.5%) zerosZeros
707 has 3 (1.5%) zerosZeros
779 has 3 (1.5%) zerosZeros
889 has 3 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-10 06:34:20.241032
Analysis finished2023-12-10 06:34:26.778980
Duration6.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

1035052950
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0350543 × 109
Minimum1.0350529 × 109
Maximum1.0350559 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:26.920724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0350529 × 109
5-th percentile1.035053 × 109
Q11.0350536 × 109
median1.0350542 × 109
Q31.0350552 × 109
95-th percentile1.0350557 × 109
Maximum1.0350559 × 109
Range3018
Interquartile range (IQR)1544

Descriptive statistics

Standard deviation884.36411
Coefficient of variation (CV)8.5441322 × 10-7
Kurtosis-1.2819916
Mean1.0350543 × 109
Median Absolute Deviation (MAD)865
Skewness0.017530108
Sum2.0597581 × 1011
Variance782099.87
MonotonicityNot monotonic
2023-12-10T15:34:27.200244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1035052955 1
 
0.5%
1035054561 1
 
0.5%
1035055061 1
 
0.5%
1035055064 1
 
0.5%
1035055066 1
 
0.5%
1035055071 1
 
0.5%
1035055073 1
 
0.5%
1035055102 1
 
0.5%
1035055105 1
 
0.5%
1035055108 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
1035052874 1
0.5%
1035052885 1
0.5%
1035052899 1
0.5%
1035052909 1
0.5%
1035052955 1
0.5%
1035052959 1
0.5%
1035052986 1
0.5%
1035052991 1
0.5%
1035052995 1
0.5%
1035052997 1
0.5%
ValueCountFrequency (%)
1035055892 1
0.5%
1035055890 1
0.5%
1035055888 1
0.5%
1035055885 1
0.5%
1035055754 1
0.5%
1035055751 1
0.5%
1035055746 1
0.5%
1035055744 1
0.5%
1035055741 1
0.5%
1035055738 1
0.5%

26110510
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
26110510
194 
26110520
 
5

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row26110510
2nd row26110510
3rd row26110510
4th row26110510
5th row26110520

Common Values

ValueCountFrequency (%)
26110510 194
97.5%
26110520 5
 
2.5%

Length

2023-12-10T15:34:27.429024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:27.608400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
26110510 194
97.5%
26110520 5
 
2.5%

0
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
5
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

Length

2023-12-10T15:34:27.895330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:28.083246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

795
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.55779
Minimum10
Maximum795
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:28.296830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18
Q1304
median322
Q3479
95-th percentile762
Maximum795
Range785
Interquartile range (IQR)175

Descriptive statistics

Standard deviation187.13217
Coefficient of variation (CV)0.54468907
Kurtosis0.063319467
Mean343.55779
Median Absolute Deviation (MAD)146
Skewness0.039879599
Sum68368
Variance35018.45
MonotonicityNot monotonic
2023-12-10T15:34:28.663176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
304 12
 
6.0%
18 12
 
6.0%
479 11
 
5.5%
468 11
 
5.5%
480 11
 
5.5%
483 11
 
5.5%
322 11
 
5.5%
307 11
 
5.5%
311 10
 
5.0%
481 10
 
5.0%
Other values (32) 89
44.7%
ValueCountFrequency (%)
10 3
 
1.5%
18 12
6.0%
19 5
2.5%
20 2
 
1.0%
83 2
 
1.0%
84 1
 
0.5%
86 4
 
2.0%
88 4
 
2.0%
89 2
 
1.0%
116 1
 
0.5%
ValueCountFrequency (%)
795 2
 
1.0%
775 6
3.0%
762 3
 
1.5%
608 3
 
1.5%
483 11
5.5%
481 10
5.0%
480 11
5.5%
479 11
5.5%
468 11
5.5%
451 8
4.0%

102
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.63819
Minimum1
Maximum706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:28.916018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q1104
median361
Q3543
95-th percentile561
Maximum706
Range705
Interquartile range (IQR)439

Descriptive statistics

Standard deviation200.54073
Coefficient of variation (CV)0.57853041
Kurtosis-1.0969751
Mean346.63819
Median Absolute Deviation (MAD)196
Skewness-0.46694284
Sum68981
Variance40216.586
MonotonicityNot monotonic
2023-12-10T15:34:29.142042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
558 21
 
10.6%
353 12
 
6.0%
374 11
 
5.5%
557 11
 
5.5%
543 11
 
5.5%
561 11
 
5.5%
33 11
 
5.5%
357 11
 
5.5%
361 10
 
5.0%
354 9
 
4.5%
Other values (31) 81
40.7%
ValueCountFrequency (%)
1 3
 
1.5%
24 2
 
1.0%
25 9
4.5%
26 2
 
1.0%
32 1
 
0.5%
33 11
5.5%
34 5
2.5%
36 2
 
1.0%
49 1
 
0.5%
80 1
 
0.5%
ValueCountFrequency (%)
706 3
 
1.5%
561 11
5.5%
558 21
10.6%
557 11
5.5%
543 11
5.5%
524 8
 
4.0%
504 4
 
2.0%
494 3
 
1.5%
422 1
 
0.5%
398 4
 
2.0%

220
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.09548
Minimum1
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:29.433866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q1122
median130
Q3193
95-th percentile214
Maximum244
Range243
Interquartile range (IQR)71

Descriptive statistics

Standard deviation64.885415
Coefficient of variation (CV)0.48751029
Kurtosis-0.6399567
Mean133.09548
Median Absolute Deviation (MAD)58
Skewness-0.64009495
Sum26486
Variance4210.1171
MonotonicityNot monotonic
2023-12-10T15:34:29.730989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
193 32
16.1%
123 18
 
9.0%
19 17
 
8.5%
130 15
 
7.5%
18 13
 
6.5%
122 12
 
6.0%
188 11
 
5.5%
194 11
 
5.5%
125 10
 
5.0%
181 8
 
4.0%
Other values (21) 52
26.1%
ValueCountFrequency (%)
1 3
 
1.5%
18 13
6.5%
19 17
8.5%
20 2
 
1.0%
41 1
 
0.5%
66 1
 
0.5%
68 1
 
0.5%
88 1
 
0.5%
89 2
 
1.0%
93 2
 
1.0%
ValueCountFrequency (%)
244 3
 
1.5%
220 2
 
1.0%
214 6
 
3.0%
211 3
 
1.5%
194 11
 
5.5%
193 32
16.1%
188 11
 
5.5%
181 8
 
4.0%
174 4
 
2.0%
171 3
 
1.5%

456
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.47739
Minimum2
Maximum456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:30.124418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile60.9
Q1170
median180
Q3268
95-th percentile437
Maximum456
Range454
Interquartile range (IQR)98

Descriptive statistics

Standard deviation95.119639
Coefficient of variation (CV)0.46292023
Kurtosis0.50451974
Mean205.47739
Median Absolute Deviation (MAD)81
Skewness0.34667062
Sum40890
Variance9047.7457
MonotonicityNot monotonic
2023-12-10T15:34:30.479555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
268 22
 
11.1%
170 21
 
10.6%
180 15
 
7.5%
270 11
 
5.5%
261 11
 
5.5%
172 11
 
5.5%
269 10
 
5.0%
174 10
 
5.0%
252 8
 
4.0%
68 6
 
3.0%
Other values (31) 74
37.2%
ValueCountFrequency (%)
2 3
1.5%
58 3
1.5%
60 4
2.0%
61 4
2.0%
62 2
 
1.0%
67 1
 
0.5%
68 6
3.0%
69 5
2.5%
70 3
1.5%
71 2
 
1.0%
ValueCountFrequency (%)
456 2
 
1.0%
445 3
 
1.5%
444 3
 
1.5%
437 3
 
1.5%
339 3
 
1.5%
302 1
 
0.5%
296 2
 
1.0%
287 2
 
1.0%
270 11
5.5%
269 10
5.0%

304
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean538.37688
Minimum2
Maximum1081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:30.698273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q1296
median553
Q3832
95-th percentile859
Maximum1081
Range1079
Interquartile range (IQR)536

Descriptive statistics

Standard deviation301.44806
Coefficient of variation (CV)0.55992014
Kurtosis-0.86127867
Mean538.37688
Median Absolute Deviation (MAD)279
Skewness-0.54027215
Sum107137
Variance90870.933
MonotonicityNot monotonic
2023-12-10T15:34:30.926403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
855 21
 
10.6%
6 19
 
9.5%
574 13
 
6.5%
541 12
 
6.0%
859 11
 
5.5%
832 11
 
5.5%
853 11
 
5.5%
553 10
 
5.0%
543 9
 
4.5%
546 9
 
4.5%
Other values (28) 73
36.7%
ValueCountFrequency (%)
2 3
 
1.5%
6 19
9.5%
52 3
 
1.5%
54 6
 
3.0%
55 4
 
2.0%
153 1
 
0.5%
174 1
 
0.5%
182 1
 
0.5%
226 2
 
1.0%
233 2
 
1.0%
ValueCountFrequency (%)
1081 3
 
1.5%
859 11
5.5%
855 21
10.6%
853 11
5.5%
832 11
5.5%
803 8
 
4.0%
772 4
 
2.0%
757 3
 
1.5%
647 1
 
0.5%
610 4
 
2.0%

607
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328.73869
Minimum0
Maximum608
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:31.145613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1304
median322
Q3479
95-th percentile592
Maximum608
Range608
Interquartile range (IQR)175

Descriptive statistics

Standard deviation177.08011
Coefficient of variation (CV)0.53866525
Kurtosis-0.46758196
Mean328.73869
Median Absolute Deviation (MAD)146
Skewness-0.67243848
Sum65419
Variance31357.366
MonotonicityNot monotonic
2023-12-10T15:34:31.371005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 19
 
9.5%
13 13
 
6.5%
304 12
 
6.0%
483 11
 
5.5%
468 11
 
5.5%
479 11
 
5.5%
480 11
 
5.5%
322 11
 
5.5%
307 11
 
5.5%
311 10
 
5.0%
Other values (25) 79
39.7%
ValueCountFrequency (%)
0 19
9.5%
5 3
 
1.5%
13 13
6.5%
171 1
 
0.5%
181 1
 
0.5%
189 1
 
0.5%
236 2
 
1.0%
243 3
 
1.5%
244 2
 
1.0%
279 2
 
1.0%
ValueCountFrequency (%)
608 3
 
1.5%
607 2
 
1.0%
592 6
3.0%
582 3
 
1.5%
483 11
5.5%
481 10
5.0%
480 11
5.5%
479 11
5.5%
468 11
5.5%
451 8
4.0%

58
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.16583
Minimum50
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:31.580270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile57
Q1148
median195
Q3286
95-th percentile296
Maximum372
Range322
Interquartile range (IQR)138

Descriptive statistics

Standard deviation76.162822
Coefficient of variation (CV)0.36942505
Kurtosis-0.75560443
Mean206.16583
Median Absolute Deviation (MAD)71
Skewness-0.20993415
Sum41027
Variance5800.7754
MonotonicityNot monotonic
2023-12-10T15:34:31.786959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
294 21
 
10.6%
197 13
 
6.5%
186 12
 
6.0%
190 12
 
6.0%
286 11
 
5.5%
296 11
 
5.5%
188 11
 
5.5%
293 11
 
5.5%
187 9
 
4.5%
276 8
 
4.0%
Other values (35) 80
40.2%
ValueCountFrequency (%)
50 1
 
0.5%
52 1
 
0.5%
56 3
1.5%
57 6
3.0%
58 2
 
1.0%
67 1
 
0.5%
90 1
 
0.5%
101 2
 
1.0%
102 1
 
0.5%
104 4
2.0%
ValueCountFrequency (%)
372 3
 
1.5%
296 11
5.5%
294 21
10.6%
293 11
5.5%
286 11
5.5%
276 8
 
4.0%
266 4
 
2.0%
260 3
 
1.5%
234 2
 
1.0%
227 2
 
1.0%

64
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.88442
Minimum55
Maximum359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:32.020688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile63
Q1161
median189
Q3277
95-th percentile286
Maximum359
Range304
Interquartile range (IQR)116

Descriptive statistics

Standard deviation69.835823
Coefficient of variation (CV)0.34252653
Kurtosis-0.66598196
Mean203.88442
Median Absolute Deviation (MAD)68
Skewness-0.18558136
Sum40573
Variance4877.0421
MonotonicityNot monotonic
2023-12-10T15:34:32.258677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
180 21
 
10.6%
285 21
 
10.6%
191 15
 
7.5%
182 11
 
5.5%
286 11
 
5.5%
277 11
 
5.5%
284 11
 
5.5%
184 10
 
5.0%
267 8
 
4.0%
152 6
 
3.0%
Other values (34) 74
37.2%
ValueCountFrequency (%)
55 1
 
0.5%
58 1
 
0.5%
62 3
1.5%
63 6
3.0%
64 2
 
1.0%
74 1
 
0.5%
99 1
 
0.5%
112 2
 
1.0%
113 1
 
0.5%
116 4
2.0%
ValueCountFrequency (%)
359 3
 
1.5%
286 11
5.5%
285 21
10.6%
284 11
5.5%
277 11
5.5%
267 8
 
4.0%
259 2
 
1.0%
257 4
 
2.0%
252 3
 
1.5%
251 2
 
1.0%

24
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.904523
Minimum21
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:32.461209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile24
Q137.5
median45
Q359
95-th percentile60
Maximum98
Range77
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation13.625063
Coefficient of variation (CV)0.28442123
Kurtosis1.5982774
Mean47.904523
Median Absolute Deviation (MAD)10
Skewness0.6484932
Sum9533
Variance185.64235
MonotonicityNot monotonic
2023-12-10T15:34:32.680420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
59 37
18.6%
37 32
16.1%
39 20
10.1%
58 17
8.5%
38 13
 
6.5%
57 12
 
6.0%
44 9
 
4.5%
55 8
 
4.0%
24 8
 
4.0%
60 5
 
2.5%
Other values (16) 38
19.1%
ValueCountFrequency (%)
21 1
 
0.5%
22 1
 
0.5%
23 3
 
1.5%
24 8
 
4.0%
28 1
 
0.5%
30 2
 
1.0%
34 2
 
1.0%
37 32
16.1%
38 13
6.5%
39 20
10.1%
ValueCountFrequency (%)
98 2
 
1.0%
95 2
 
1.0%
74 3
 
1.5%
62 2
 
1.0%
60 5
 
2.5%
59 37
18.6%
58 17
8.5%
57 12
 
6.0%
55 8
 
4.0%
53 4
 
2.0%

12
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.653266
Minimum10
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:32.909236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q129
median30
Q345
95-th percentile46
Maximum58
Range48
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.629451
Coefficient of variation (CV)0.31585199
Kurtosis-0.55114402
Mean33.653266
Median Absolute Deviation (MAD)8
Skewness-0.14800313
Sum6697
Variance112.98523
MonotonicityNot monotonic
2023-12-10T15:34:33.135481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
46 45
22.6%
29 44
22.1%
31 17
 
8.5%
30 15
 
7.5%
44 11
 
5.5%
12 8
 
4.0%
43 8
 
4.0%
21 7
 
3.5%
22 7
 
3.5%
28 7
 
3.5%
Other values (12) 30
15.1%
ValueCountFrequency (%)
10 1
 
0.5%
11 4
2.0%
12 8
4.0%
14 1
 
0.5%
18 1
 
0.5%
21 7
3.5%
22 7
3.5%
23 4
2.0%
27 2
 
1.0%
28 7
3.5%
ValueCountFrequency (%)
58 3
 
1.5%
48 2
 
1.0%
46 45
22.6%
44 11
 
5.5%
43 8
 
4.0%
41 4
 
2.0%
40 3
 
1.5%
35 1
 
0.5%
33 4
 
2.0%
31 17
 
8.5%

0.1
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
4
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
4 8
 
4.0%

Length

2023-12-10T15:34:33.373120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:33.557875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
4 8
 
4.0%

11
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.165829
Minimum9
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:33.753880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10
Q126
median28
Q342
95-th percentile43
Maximum54
Range45
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.241904
Coefficient of variation (CV)0.32862608
Kurtosis-0.61385986
Mean31.165829
Median Absolute Deviation (MAD)9
Skewness-0.17989454
Sum6202
Variance104.8966
MonotonicityNot monotonic
2023-12-10T15:34:34.018334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
43 43
21.6%
27 34
17.1%
29 17
 
8.5%
28 15
 
7.5%
25 14
 
7.0%
42 13
 
6.5%
19 10
 
5.0%
10 9
 
4.5%
40 8
 
4.0%
26 5
 
2.5%
Other values (13) 31
15.6%
ValueCountFrequency (%)
9 2
 
1.0%
10 9
4.5%
11 2
 
1.0%
12 1
 
0.5%
16 1
 
0.5%
18 3
 
1.5%
19 10
5.0%
20 3
 
1.5%
22 2
 
1.0%
25 14
7.0%
ValueCountFrequency (%)
54 3
 
1.5%
43 43
21.6%
42 13
 
6.5%
41 2
 
1.0%
40 8
 
4.0%
39 4
 
2.0%
38 3
 
1.5%
32 1
 
0.5%
31 4
 
2.0%
29 17
 
8.5%

8
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.386935
Minimum7
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:34.241488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q124
median36
Q354
95-th percentile56
Maximum70
Range63
Interquartile range (IQR)30

Descriptive statistics

Standard deviation16.24671
Coefficient of variation (CV)0.43455582
Kurtosis-0.97582033
Mean37.386935
Median Absolute Deviation (MAD)17
Skewness-0.26794852
Sum7440
Variance263.95559
MonotonicityNot monotonic
2023-12-10T15:34:34.554827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
56 43
21.6%
36 23
11.6%
35 21
10.6%
37 18
9.0%
19 16
 
8.0%
14 13
 
6.5%
8 11
 
5.5%
54 11
 
5.5%
52 8
 
4.0%
40 4
 
2.0%
Other values (14) 31
15.6%
ValueCountFrequency (%)
7 2
 
1.0%
8 11
5.5%
9 1
 
0.5%
12 1
 
0.5%
14 13
6.5%
15 3
 
1.5%
18 1
 
0.5%
19 16
8.0%
20 2
 
1.0%
28 2
 
1.0%
ValueCountFrequency (%)
70 3
 
1.5%
56 43
21.6%
54 11
 
5.5%
52 8
 
4.0%
50 4
 
2.0%
49 3
 
1.5%
42 1
 
0.5%
40 4
 
2.0%
38 2
 
1.0%
37 18
9.0%

3
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.59799
Minimum3
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:34.862120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q111
median61
Q391
95-th percentile94
Maximum118
Range115
Interquartile range (IQR)80

Descriptive statistics

Standard deviation34.405326
Coefficient of variation (CV)0.59733553
Kurtosis-1.1494724
Mean57.59799
Median Absolute Deviation (MAD)32
Skewness-0.47327219
Sum11462
Variance1183.7265
MonotonicityNot monotonic
2023-12-10T15:34:35.096441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
94 32
16.1%
59 21
10.6%
8 17
8.5%
63 17
8.5%
6 14
 
7.0%
3 13
 
6.5%
60 13
 
6.5%
91 11
 
5.5%
93 11
 
5.5%
61 10
 
5.0%
Other values (15) 40
20.1%
ValueCountFrequency (%)
3 13
6.5%
4 1
 
0.5%
5 1
 
0.5%
6 14
7.0%
7 2
 
1.0%
8 17
8.5%
9 2
 
1.0%
13 2
 
1.0%
14 2
 
1.0%
48 2
 
1.0%
ValueCountFrequency (%)
118 3
 
1.5%
94 32
16.1%
93 11
 
5.5%
91 11
 
5.5%
88 8
 
4.0%
85 4
 
2.0%
83 3
 
1.5%
71 1
 
0.5%
67 4
 
2.0%
63 17
8.5%

38
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.457286
Minimum32
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:35.361203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile37
Q142
median60
Q365
95-th percentile92
Maximum152
Range120
Interquartile range (IQR)23

Descriptive statistics

Standard deviation20.819012
Coefficient of variation (CV)0.35614058
Kurtosis5.5154398
Mean58.457286
Median Absolute Deviation (MAD)17
Skewness1.8393997
Sum11633
Variance433.43125
MonotonicityNot monotonic
2023-12-10T15:34:35.965225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
64 32
16.1%
41 32
16.1%
43 20
 
10.1%
42 12
 
6.0%
65 11
 
5.5%
63 11
 
5.5%
60 8
 
4.0%
37 8
 
4.0%
68 6
 
3.0%
89 6
 
3.0%
Other values (23) 53
26.6%
ValueCountFrequency (%)
32 1
 
0.5%
33 2
 
1.0%
34 1
 
0.5%
36 3
 
1.5%
37 8
 
4.0%
38 2
 
1.0%
41 32
16.1%
42 12
 
6.0%
43 20
10.1%
44 1
 
0.5%
ValueCountFrequency (%)
152 2
 
1.0%
147 2
 
1.0%
96 2
 
1.0%
93 2
 
1.0%
92 3
1.5%
91 5
2.5%
89 6
3.0%
88 1
 
0.5%
81 3
1.5%
73 1
 
0.5%

13
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.668342
Minimum11
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:36.158806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q129
median31
Q345.5
95-th percentile47
Maximum58
Range47
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation10.371413
Coefficient of variation (CV)0.29916093
Kurtosis-0.45216786
Mean34.668342
Median Absolute Deviation (MAD)7
Skewness-0.12349875
Sum6899
Variance107.56621
MonotonicityNot monotonic
2023-12-10T15:34:36.360667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
46 32
16.1%
30 23
11.6%
31 21
10.6%
29 21
10.6%
13 11
 
5.5%
45 11
 
5.5%
47 11
 
5.5%
32 11
 
5.5%
24 10
 
5.0%
33 9
 
4.5%
Other values (16) 39
19.6%
ValueCountFrequency (%)
11 1
 
0.5%
12 1
 
0.5%
13 11
5.5%
15 1
 
0.5%
21 1
 
0.5%
23 3
 
1.5%
24 10
5.0%
25 3
 
1.5%
26 2
 
1.0%
27 2
 
1.0%
ValueCountFrequency (%)
58 3
 
1.5%
54 2
 
1.0%
52 2
 
1.0%
47 11
 
5.5%
46 32
16.1%
45 11
 
5.5%
43 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
35 1
 
0.5%

7
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.658291
Minimum6
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:36.558974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q117.5
median21
Q331
95-th percentile32
Maximum40
Range34
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation7.9234863
Coefficient of variation (CV)0.34969478
Kurtosis-0.74553471
Mean22.658291
Median Absolute Deviation (MAD)7
Skewness-0.14572537
Sum4509
Variance62.781635
MonotonicityNot monotonic
2023-12-10T15:34:36.762984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20 44
22.1%
32 43
21.6%
21 20
10.1%
17 16
 
8.0%
13 12
 
6.0%
7 11
 
5.5%
31 11
 
5.5%
30 8
 
4.0%
28 5
 
2.5%
18 4
 
2.0%
Other values (11) 25
12.6%
ValueCountFrequency (%)
6 2
 
1.0%
7 11
5.5%
8 1
 
0.5%
11 1
 
0.5%
12 3
 
1.5%
13 12
6.0%
14 1
 
0.5%
16 3
 
1.5%
17 16
8.0%
18 4
 
2.0%
ValueCountFrequency (%)
40 3
 
1.5%
32 43
21.6%
31 11
 
5.5%
30 8
 
4.0%
29 4
 
2.0%
28 5
 
2.5%
27 2
 
1.0%
24 1
 
0.5%
23 4
 
2.0%
21 20
10.1%

4
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.572864
Minimum4
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:36.950823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q113.5
median29
Q343
95-th percentile44
Maximum56
Range52
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation14.272367
Coefficient of variation (CV)0.49950776
Kurtosis-1.0744452
Mean28.572864
Median Absolute Deviation (MAD)14
Skewness-0.37157506
Sum5686
Variance203.70047
MonotonicityNot monotonic
2023-12-10T15:34:37.139589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
44 43
21.6%
28 32
16.1%
10 17
 
8.5%
30 17
 
8.5%
29 15
 
7.5%
4 13
 
6.5%
43 11
 
5.5%
8 9
 
4.5%
42 8
 
4.0%
7 7
 
3.5%
Other values (12) 27
13.6%
ValueCountFrequency (%)
4 13
6.5%
5 1
 
0.5%
6 1
 
0.5%
7 7
3.5%
8 9
4.5%
10 17
8.5%
11 2
 
1.0%
16 2
 
1.0%
17 2
 
1.0%
22 2
 
1.0%
ValueCountFrequency (%)
56 3
 
1.5%
44 43
21.6%
43 11
 
5.5%
42 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
33 1
 
0.5%
32 4
 
2.0%
30 17
 
8.5%
29 15
 
7.5%

2
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.080402
Minimum2
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:37.455276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q16.5
median62
Q393
95-th percentile96
Maximum121
Range119
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation36.168287
Coefficient of variation (CV)0.62272791
Kurtosis-1.1509253
Mean58.080402
Median Absolute Deviation (MAD)33
Skewness-0.49396004
Sum11558
Variance1308.145
MonotonicityNot monotonic
2023-12-10T15:34:37.700553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
96 32
16.1%
61 20
10.1%
5 19
9.5%
64 18
9.0%
4 16
8.0%
2 14
7.0%
62 12
 
6.0%
60 12
 
6.0%
95 11
 
5.5%
93 11
 
5.5%
Other values (11) 34
17.1%
ValueCountFrequency (%)
2 14
7.0%
3 1
 
0.5%
4 16
8.0%
5 19
9.5%
8 4
 
2.0%
49 2
 
1.0%
55 2
 
1.0%
60 12
6.0%
61 20
10.1%
62 12
6.0%
ValueCountFrequency (%)
121 3
 
1.5%
96 32
16.1%
95 11
 
5.5%
93 11
 
5.5%
90 8
 
4.0%
86 4
 
2.0%
85 3
 
1.5%
72 1
 
0.5%
68 4
 
2.0%
64 18
9.0%

91
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.080402
Minimum46
Maximum213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:37.986245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile65
Q166
median96
Q3102
95-th percentile114
Maximum213
Range167
Interquartile range (IQR)36

Descriptive statistics

Standard deviation25.483478
Coefficient of variation (CV)0.28289703
Kurtosis7.6487304
Mean90.080402
Median Absolute Deviation (MAD)14
Skewness1.8749836
Sum17926
Variance649.40764
MonotonicityNot monotonic
2023-12-10T15:34:38.276494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
102 46
23.1%
65 32
16.1%
68 18
 
9.0%
66 12
 
6.0%
99 11
 
5.5%
96 9
 
4.5%
110 6
 
3.0%
88 6
 
3.0%
114 5
 
2.5%
104 4
 
2.0%
Other values (25) 50
25.1%
ValueCountFrequency (%)
46 1
 
0.5%
48 1
 
0.5%
52 2
 
1.0%
59 2
 
1.0%
62 1
 
0.5%
65 32
16.1%
66 12
 
6.0%
68 18
9.0%
69 2
 
1.0%
73 4
 
2.0%
ValueCountFrequency (%)
213 2
 
1.0%
206 2
 
1.0%
129 3
1.5%
118 2
 
1.0%
114 5
2.5%
112 1
 
0.5%
111 4
2.0%
110 6
3.0%
108 1
 
0.5%
107 2
 
1.0%

102.1
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.497487
Minimum50
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:38.931329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile62
Q164
median96
Q399
95-th percentile128
Maximum240
Range190
Interquartile range (IQR)35

Descriptive statistics

Standard deviation30.492734
Coefficient of variation (CV)0.33326307
Kurtosis8.0639982
Mean91.497487
Median Absolute Deviation (MAD)26
Skewness2.0653812
Sum18208
Variance929.80681
MonotonicityNot monotonic
2023-12-10T15:34:39.708437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
98 35
17.6%
63 23
11.6%
62 21
10.6%
66 17
 
8.5%
99 14
 
7.0%
96 11
 
5.5%
124 9
 
4.5%
92 8
 
4.0%
70 5
 
2.5%
89 4
 
2.0%
Other values (26) 52
26.1%
ValueCountFrequency (%)
50 2
 
1.0%
52 1
 
0.5%
54 1
 
0.5%
57 2
 
1.0%
62 21
10.6%
63 23
11.6%
65 3
 
1.5%
66 17
8.5%
70 5
 
2.5%
74 1
 
0.5%
ValueCountFrequency (%)
240 2
 
1.0%
232 2
 
1.0%
133 2
 
1.0%
129 2
 
1.0%
128 3
 
1.5%
126 1
 
0.5%
125 4
2.0%
124 9
4.5%
122 1
 
0.5%
120 2
 
1.0%

0.2
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
5
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

Length

2023-12-10T15:34:40.338758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:40.691317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

21
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.939698
Minimum10
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:40.911583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q113
median20
Q321
95-th percentile27
Maximum50
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.3497699
Coefficient of variation (CV)0.33526246
Kurtosis8.0633919
Mean18.939698
Median Absolute Deviation (MAD)6
Skewness2.095078
Sum3769
Variance40.319578
MonotonicityNot monotonic
2023-12-10T15:34:41.184525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
20 57
28.6%
13 47
23.6%
14 22
 
11.1%
26 14
 
7.0%
21 8
 
4.0%
19 8
 
4.0%
18 7
 
3.5%
24 7
 
3.5%
25 7
 
3.5%
27 5
 
2.5%
Other values (9) 17
 
8.5%
ValueCountFrequency (%)
10 2
 
1.0%
11 2
 
1.0%
12 2
 
1.0%
13 47
23.6%
14 22
 
11.1%
15 1
 
0.5%
18 7
 
3.5%
19 8
 
4.0%
20 57
28.6%
21 8
 
4.0%
ValueCountFrequency (%)
50 2
 
1.0%
48 2
 
1.0%
28 2
 
1.0%
27 5
 
2.5%
26 14
7.0%
25 7
3.5%
24 7
3.5%
23 1
 
0.5%
22 3
 
1.5%
21 8
4.0%

23
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.864322
Minimum8
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:41.386810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median15
Q322
95-th percentile29
Maximum54
Range46
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.0764456
Coefficient of variation (CV)0.47890723
Kurtosis6.1041665
Mean16.864322
Median Absolute Deviation (MAD)5
Skewness2.0477733
Sum3356
Variance65.228973
MonotonicityNot monotonic
2023-12-10T15:34:41.604089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 44
22.1%
16 44
22.1%
11 24
12.1%
15 19
9.5%
28 11
 
5.5%
22 9
 
4.5%
14 7
 
3.5%
26 7
 
3.5%
27 7
 
3.5%
29 5
 
2.5%
Other values (9) 22
11.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 44
22.1%
11 24
12.1%
12 3
 
1.5%
14 7
 
3.5%
15 19
9.5%
16 44
22.1%
20 3
 
1.5%
22 9
 
4.5%
ValueCountFrequency (%)
54 2
 
1.0%
52 2
 
1.0%
30 2
 
1.0%
29 5
2.5%
28 11
5.5%
27 7
3.5%
26 7
3.5%
24 3
 
1.5%
23 3
 
1.5%
22 9
4.5%

22
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.98995
Minimum8
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:41.822428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q110
median14
Q321
95-th percentile28
Maximum52
Range44
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.9315187
Coefficient of variation (CV)0.4960315
Kurtosis5.6852452
Mean15.98995
Median Absolute Deviation (MAD)4
Skewness1.9938417
Sum3182
Variance62.908989
MonotonicityNot monotonic
2023-12-10T15:34:42.023040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
15 44
22.1%
9 34
17.1%
10 32
16.1%
14 19
9.5%
27 11
 
5.5%
22 8
 
4.0%
13 7
 
3.5%
25 7
 
3.5%
26 7
 
3.5%
11 6
 
3.0%
Other values (10) 24
12.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 34
17.1%
10 32
16.1%
11 6
 
3.0%
12 1
 
0.5%
13 7
 
3.5%
14 19
9.5%
15 44
22.1%
19 3
 
1.5%
21 3
 
1.5%
ValueCountFrequency (%)
52 2
 
1.0%
50 2
 
1.0%
29 2
 
1.0%
28 5
2.5%
27 11
5.5%
26 7
3.5%
25 7
3.5%
24 1
 
0.5%
23 3
 
1.5%
22 8
4.0%

15
Real number (ℝ)

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.080402
Minimum7
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:42.218791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12
Q112
median17
Q319
95-th percentile19
Maximum34
Range27
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.0692947
Coefficient of variation (CV)0.25305926
Kurtosis4.8724653
Mean16.080402
Median Absolute Deviation (MAD)2
Skewness1.3895446
Sum3200
Variance16.559159
MonotonicityNot monotonic
2023-12-10T15:34:42.407418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
19 56
28.1%
12 44
22.1%
18 24
12.1%
13 20
 
10.1%
17 18
 
9.0%
14 13
 
6.5%
15 5
 
2.5%
16 5
 
2.5%
24 3
 
1.5%
10 3
 
1.5%
Other values (5) 8
 
4.0%
ValueCountFrequency (%)
7 1
 
0.5%
8 1
 
0.5%
10 3
 
1.5%
11 2
 
1.0%
12 44
22.1%
13 20
10.1%
14 13
 
6.5%
15 5
 
2.5%
16 5
 
2.5%
17 18
9.0%
ValueCountFrequency (%)
34 2
 
1.0%
33 2
 
1.0%
24 3
 
1.5%
19 56
28.1%
18 24
12.1%
17 18
 
9.0%
16 5
 
2.5%
15 5
 
2.5%
14 13
 
6.5%
13 20
 
10.1%

10
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.542714
Minimum5
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:42.577678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q115
median22
Q332
95-th percentile33
Maximum41
Range36
Interquartile range (IQR)17

Descriptive statistics

Standard deviation8.427764
Coefficient of variation (CV)0.37385757
Kurtosis-1.0282584
Mean22.542714
Median Absolute Deviation (MAD)10
Skewness-0.12081117
Sum4486
Variance71.027207
MonotonicityNot monotonic
2023-12-10T15:34:42.779104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
21 44
22.1%
32 43
21.6%
22 22
11.1%
12 19
9.5%
10 12
 
6.0%
11 11
 
5.5%
33 11
 
5.5%
30 8
 
4.0%
29 7
 
3.5%
23 6
 
3.0%
Other values (8) 16
 
8.0%
ValueCountFrequency (%)
5 2
 
1.0%
7 1
 
0.5%
9 3
 
1.5%
10 12
 
6.0%
11 11
 
5.5%
12 19
9.5%
13 2
 
1.0%
17 2
 
1.0%
19 2
 
1.0%
21 44
22.1%
ValueCountFrequency (%)
41 3
 
1.5%
33 11
 
5.5%
32 43
21.6%
30 8
 
4.0%
29 7
 
3.5%
24 1
 
0.5%
23 6
 
3.0%
22 22
11.1%
21 44
22.1%
19 2
 
1.0%

33
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.834171
Minimum11
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:43.001673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q332
95-th percentile41
Maximum77
Range66
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.739067
Coefficient of variation (CV)0.49253096
Kurtosis5.8694834
Mean23.834171
Median Absolute Deviation (MAD)7
Skewness2.0259271
Sum4743
Variance137.8057
MonotonicityNot monotonic
2023-12-10T15:34:43.218054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
22 55
27.6%
14 44
22.1%
15 20
 
10.1%
40 10
 
5.0%
32 9
 
4.5%
21 8
 
4.0%
38 8
 
4.0%
20 7
 
3.5%
41 4
 
2.0%
16 4
 
2.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
 
10.1%
16 4
 
2.0%
17 3
 
1.5%
20 7
 
3.5%
21 8
 
4.0%
22 55
27.6%
28 3
 
1.5%
ValueCountFrequency (%)
77 2
 
1.0%
75 2
 
1.0%
43 2
 
1.0%
42 2
 
1.0%
41 4
 
2.0%
40 10
5.0%
39 3
 
1.5%
38 8
4.0%
37 3
 
1.5%
35 2
 
1.0%

27
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.100503
Minimum8
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:43.468795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q325
95-th percentile33
Maximum63
Range55
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.9919134
Coefficient of variation (CV)0.55202409
Kurtosis5.265391
Mean18.100503
Median Absolute Deviation (MAD)5
Skewness1.9823753
Sum3602
Variance99.838333
MonotonicityNot monotonic
2023-12-10T15:34:43.642032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
16 54
27.1%
10 44
22.1%
11 24
12.1%
14 9
 
4.5%
33 8
 
4.0%
15 8
 
4.0%
32 7
 
3.5%
30 7
 
3.5%
31 6
 
3.0%
26 6
 
3.0%
Other values (12) 26
13.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 44
22.1%
11 24
12.1%
12 1
 
0.5%
14 9
 
4.5%
15 8
 
4.0%
16 54
27.1%
18 1
 
0.5%
20 3
 
1.5%
ValueCountFrequency (%)
63 2
 
1.0%
60 2
 
1.0%
35 2
 
1.0%
34 2
 
1.0%
33 8
4.0%
32 7
3.5%
31 6
3.0%
30 7
3.5%
28 3
 
1.5%
27 3
 
1.5%

21.1
Real number (ℝ)

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.296482
Minimum6
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:43.817870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q17
median11
Q320
95-th percentile26
Maximum49
Range43
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.332578
Coefficient of variation (CV)0.62667537
Kurtosis4.5173152
Mean13.296482
Median Absolute Deviation (MAD)4
Skewness1.9173933
Sum2646
Variance69.431856
MonotonicityNot monotonic
2023-12-10T15:34:43.999163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
7 64
32.2%
11 56
28.1%
26 16
 
8.0%
10 15
 
7.5%
24 11
 
5.5%
20 9
 
4.5%
8 5
 
2.5%
14 4
 
2.0%
6 4
 
2.0%
21 3
 
1.5%
Other values (5) 12
 
6.0%
ValueCountFrequency (%)
6 4
 
2.0%
7 64
32.2%
8 5
 
2.5%
10 15
 
7.5%
11 56
28.1%
14 4
 
2.0%
20 9
 
4.5%
21 3
 
1.5%
22 3
 
1.5%
24 11
 
5.5%
ValueCountFrequency (%)
49 2
 
1.0%
48 2
 
1.0%
27 2
 
1.0%
26 16
8.0%
25 3
 
1.5%
24 11
5.5%
22 3
 
1.5%
21 3
 
1.5%
20 9
4.5%
14 4
 
2.0%

12.1
Real number (ℝ)

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.060302
Minimum6
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:44.163517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q110
median14
Q315
95-th percentile16
Maximum29
Range23
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.3418651
Coefficient of variation (CV)0.25587963
Kurtosis7.2151571
Mean13.060302
Median Absolute Deviation (MAD)1
Skewness1.7849626
Sum2599
Variance11.168063
MonotonicityNot monotonic
2023-12-10T15:34:44.360730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
15 71
35.7%
10 64
32.2%
14 26
 
13.1%
12 12
 
6.0%
11 4
 
2.0%
16 4
 
2.0%
13 4
 
2.0%
19 3
 
1.5%
8 3
 
1.5%
29 2
 
1.0%
Other values (4) 6
 
3.0%
ValueCountFrequency (%)
6 1
 
0.5%
7 1
 
0.5%
8 3
 
1.5%
9 2
 
1.0%
10 64
32.2%
11 4
 
2.0%
12 12
 
6.0%
13 4
 
2.0%
14 26
 
13.1%
15 71
35.7%
ValueCountFrequency (%)
29 2
 
1.0%
28 2
 
1.0%
19 3
 
1.5%
16 4
 
2.0%
15 71
35.7%
14 26
 
13.1%
13 4
 
2.0%
12 12
 
6.0%
11 4
 
2.0%
10 64
32.2%

9
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.638191
Minimum5
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:44.528407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q114.5
median21
Q332
95-th percentile33
Maximum42
Range37
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation8.9046435
Coefficient of variation (CV)0.39334607
Kurtosis-1.0654136
Mean22.638191
Median Absolute Deviation (MAD)10
Skewness-0.11702115
Sum4505
Variance79.292675
MonotonicityNot monotonic
2023-12-10T15:34:44.720669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
21 46
23.1%
33 43
21.6%
11 22
11.1%
22 22
11.1%
9 12
 
6.0%
32 11
 
5.5%
31 8
 
4.0%
12 7
 
3.5%
10 6
 
3.0%
24 4
 
2.0%
Other values (8) 18
 
9.0%
ValueCountFrequency (%)
5 2
 
1.0%
6 1
 
0.5%
9 12
 
6.0%
10 6
 
3.0%
11 22
11.1%
12 7
 
3.5%
17 2
 
1.0%
19 2
 
1.0%
21 46
23.1%
22 22
11.1%
ValueCountFrequency (%)
42 3
 
1.5%
33 43
21.6%
32 11
 
5.5%
31 8
 
4.0%
30 4
 
2.0%
29 3
 
1.5%
25 1
 
0.5%
24 4
 
2.0%
22 22
11.1%
21 46
23.1%

0.3
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
10
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
10 8
 
4.0%

Length

2023-12-10T15:34:44.899266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:45.052502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
10 8
 
4.0%

232
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.42714
Minimum72
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:45.229836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile89
Q194
median139
Q3222
95-th percentile363
Maximum648
Range576
Interquartile range (IQR)128

Descriptive statistics

Standard deviation109.67552
Coefficient of variation (CV)0.63977925
Kurtosis4.8724714
Mean171.42714
Median Absolute Deviation (MAD)47
Skewness2.0296624
Sum34114
Variance12028.721
MonotonicityNot monotonic
2023-12-10T15:34:45.468411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
141 32
16.1%
90 20
 
10.1%
95 15
 
7.5%
91 12
 
6.0%
89 12
 
6.0%
138 11
 
5.5%
142 11
 
5.5%
133 8
 
4.0%
226 6
 
3.0%
351 6
 
3.0%
Other values (32) 66
33.2%
ValueCountFrequency (%)
72 2
 
1.0%
82 2
 
1.0%
89 12
6.0%
90 20
10.1%
91 12
6.0%
94 3
 
1.5%
95 15
7.5%
96 2
 
1.0%
101 4
 
2.0%
107 1
 
0.5%
ValueCountFrequency (%)
648 2
 
1.0%
627 2
 
1.0%
375 2
 
1.0%
364 2
 
1.0%
363 3
1.5%
356 1
 
0.5%
354 4
2.0%
351 6
3.0%
345 1
 
0.5%
310 2
 
1.0%

310
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.1608
Minimum69
Maximum865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:45.719430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69
5-th percentile87
Q191
median136
Q3297
95-th percentile484
Maximum865
Range796
Interquartile range (IQR)206

Descriptive statistics

Standard deviation161.41969
Coefficient of variation (CV)0.81458942
Kurtosis3.7655235
Mean198.1608
Median Absolute Deviation (MAD)47
Skewness1.902593
Sum39434
Variance26056.317
MonotonicityNot monotonic
2023-12-10T15:34:45.951582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
137 21
 
10.6%
87 21
 
10.6%
92 17
 
8.5%
88 13
 
6.5%
136 11
 
5.5%
138 11
 
5.5%
133 11
 
5.5%
89 10
 
5.0%
128 8
 
4.0%
468 6
 
3.0%
Other values (34) 70
35.2%
ValueCountFrequency (%)
69 2
 
1.0%
80 2
 
1.0%
87 21
10.6%
88 13
6.5%
89 10
5.0%
90 1
 
0.5%
91 2
 
1.0%
92 17
8.5%
98 4
 
2.0%
103 1
 
0.5%
ValueCountFrequency (%)
865 2
 
1.0%
838 2
 
1.0%
501 2
 
1.0%
487 2
 
1.0%
484 3
1.5%
476 1
 
0.5%
474 4
2.0%
468 6
3.0%
461 1
 
0.5%
415 2
 
1.0%

60
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.321608
Minimum14
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:46.371679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18
Q119
median28
Q358
95-th percentile94
Maximum168
Range154
Interquartile range (IQR)39

Descriptive statistics

Standard deviation30.881773
Coefficient of variation (CV)0.78536395
Kurtosis3.9588151
Mean39.321608
Median Absolute Deviation (MAD)10
Skewness1.9278548
Sum7825
Variance953.68392
MonotonicityNot monotonic
2023-12-10T15:34:46.577196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
18 44
22.1%
28 43
21.6%
19 20
10.1%
27 11
 
5.5%
26 8
 
4.0%
25 7
 
3.5%
59 6
 
3.0%
91 6
 
3.0%
94 5
 
2.5%
92 5
 
2.5%
Other values (20) 44
22.1%
ValueCountFrequency (%)
14 2
 
1.0%
16 2
 
1.0%
18 44
22.1%
19 20
10.1%
20 4
 
2.0%
21 1
 
0.5%
25 7
 
3.5%
26 8
 
4.0%
27 11
 
5.5%
28 43
21.6%
ValueCountFrequency (%)
168 2
 
1.0%
163 2
 
1.0%
97 2
 
1.0%
94 5
2.5%
92 5
2.5%
91 6
3.0%
89 1
 
0.5%
80 2
 
1.0%
79 4
2.0%
78 4
2.0%

53
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.844221
Minimum11
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:46.879342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q350
95-th percentile82
Maximum147
Range136
Interquartile range (IQR)35

Descriptive statistics

Standard deviation27.694233
Coefficient of variation (CV)0.84319958
Kurtosis3.6888563
Mean32.844221
Median Absolute Deviation (MAD)8
Skewness1.8943286
Sum6536
Variance766.97056
MonotonicityNot monotonic
2023-12-10T15:34:47.147013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
14 44
22.1%
22 43
21.6%
15 20
10.1%
21 19
9.5%
51 6
 
3.0%
79 6
 
3.0%
16 4
 
2.0%
20 4
 
2.0%
80 4
 
2.0%
67 4
 
2.0%
Other values (23) 45
22.6%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
10.1%
16 4
 
2.0%
17 1
 
0.5%
19 3
 
1.5%
20 4
 
2.0%
21 19
9.5%
22 43
21.6%
ValueCountFrequency (%)
147 2
 
1.0%
142 2
 
1.0%
85 2
 
1.0%
83 2
 
1.0%
82 3
1.5%
81 1
 
0.5%
80 4
2.0%
79 6
3.0%
78 1
 
0.5%
70 2
 
1.0%

56
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.271357
Minimum10
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:47.369412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q114
median20
Q354
95-th percentile87
Maximum156
Range146
Interquartile range (IQR)40

Descriptive statistics

Standard deviation30.310793
Coefficient of variation (CV)0.91101764
Kurtosis3.3585141
Mean33.271357
Median Absolute Deviation (MAD)7
Skewness1.8463125
Sum6621
Variance918.74418
MonotonicityNot monotonic
2023-12-10T15:34:47.590840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
13 44
22.1%
21 32
16.1%
20 22
11.1%
14 20
10.1%
19 12
 
6.0%
73 6
 
3.0%
84 6
 
3.0%
54 6
 
3.0%
15 4
 
2.0%
85 4
 
2.0%
Other values (23) 43
21.6%
ValueCountFrequency (%)
10 2
 
1.0%
12 2
 
1.0%
13 44
22.1%
14 20
10.1%
15 4
 
2.0%
16 1
 
0.5%
18 3
 
1.5%
19 12
 
6.0%
20 22
11.1%
21 32
16.1%
ValueCountFrequency (%)
156 2
 
1.0%
151 2
 
1.0%
90 2
 
1.0%
88 2
 
1.0%
87 3
1.5%
86 1
 
0.5%
85 4
2.0%
84 6
3.0%
83 1
 
0.5%
75 2
 
1.0%

38.1
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.226131
Minimum14
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:47.916734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile17
Q118
median26
Q336
95-th percentile59
Maximum106
Range92
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.943582
Coefficient of variation (CV)0.56056073
Kurtosis5.6804273
Mean30.226131
Median Absolute Deviation (MAD)8
Skewness2.1084682
Sum6015
Variance287.08497
MonotonicityNot monotonic
2023-12-10T15:34:48.768471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
17 44
22.1%
27 43
21.6%
18 20
10.1%
26 11
 
5.5%
25 8
 
4.0%
24 8
 
4.0%
37 6
 
3.0%
57 6
 
3.0%
58 5
 
2.5%
48 5
 
2.5%
Other values (20) 43
21.6%
ValueCountFrequency (%)
14 2
 
1.0%
16 2
 
1.0%
17 44
22.1%
18 20
10.1%
19 4
 
2.0%
20 1
 
0.5%
23 1
 
0.5%
24 8
 
4.0%
25 8
 
4.0%
26 11
 
5.5%
ValueCountFrequency (%)
106 2
 
1.0%
103 2
 
1.0%
61 2
 
1.0%
60 2
 
1.0%
59 3
1.5%
58 5
2.5%
57 6
3.0%
56 1
 
0.5%
51 2
 
1.0%
50 4
2.0%

25
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.407035
Minimum15
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:48.961344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile25
Q129
median34
Q344.5
95-th percentile45
Maximum71
Range56
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.2556371
Coefficient of variation (CV)0.25422661
Kurtosis1.8277154
Mean36.407035
Median Absolute Deviation (MAD)6
Skewness0.90357906
Sum7245
Variance85.666819
MonotonicityNot monotonic
2023-12-10T15:34:49.167330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
29 44
22.1%
45 43
21.6%
30 20
10.1%
44 11
 
5.5%
32 9
 
4.5%
40 8
 
4.0%
42 8
 
4.0%
25 8
 
4.0%
38 7
 
3.5%
41 6
 
3.0%
Other values (14) 35
17.6%
ValueCountFrequency (%)
15 1
 
0.5%
16 1
 
0.5%
20 1
 
0.5%
23 2
 
1.0%
24 3
 
1.5%
25 8
 
4.0%
26 2
 
1.0%
28 1
 
0.5%
29 44
22.1%
30 20
10.1%
ValueCountFrequency (%)
71 2
 
1.0%
69 2
 
1.0%
57 3
 
1.5%
45 43
21.6%
44 11
 
5.5%
42 8
 
4.0%
41 6
 
3.0%
40 8
 
4.0%
39 5
 
2.5%
38 7
 
3.5%

108
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.035176
Minimum16
Maximum301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:49.355580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q121
median31
Q3103
95-th percentile169
Maximum301
Range285
Interquartile range (IQR)82

Descriptive statistics

Standard deviation61.279817
Coefficient of variation (CV)1.0380221
Kurtosis2.9414192
Mean59.035176
Median Absolute Deviation (MAD)11
Skewness1.790831
Sum11748
Variance3755.2159
MonotonicityNot monotonic
2023-12-10T15:34:49.590425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
20 45
22.6%
31 43
21.6%
21 19
 
9.5%
30 11
 
5.5%
29 8
 
4.0%
105 6
 
3.0%
163 6
 
3.0%
169 5
 
2.5%
22 4
 
2.0%
28 4
 
2.0%
Other values (25) 48
24.1%
ValueCountFrequency (%)
16 2
 
1.0%
18 2
 
1.0%
20 45
22.6%
21 19
9.5%
22 4
 
2.0%
23 1
 
0.5%
27 3
 
1.5%
28 4
 
2.0%
29 8
 
4.0%
30 11
 
5.5%
ValueCountFrequency (%)
301 2
 
1.0%
292 2
 
1.0%
174 2
 
1.0%
169 5
2.5%
166 1
 
0.5%
165 4
2.0%
163 6
3.0%
160 1
 
0.5%
144 2
 
1.0%
142 2
 
1.0%

75
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.306533
Minimum11
Maximum209
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:49.834041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q372
95-th percentile117
Maximum209
Range198
Interquartile range (IQR)57

Descriptive statistics

Standard deviation42.302082
Coefficient of variation (CV)1.0241015
Kurtosis2.968311
Mean41.306533
Median Absolute Deviation (MAD)8
Skewness1.7924004
Sum8220
Variance1789.4662
MonotonicityNot monotonic
2023-12-10T15:34:50.055893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
22 54
27.1%
14 44
22.1%
15 20
 
10.1%
21 8
 
4.0%
20 7
 
3.5%
73 6
 
3.0%
113 6
 
3.0%
117 5
 
2.5%
16 4
 
2.0%
114 4
 
2.0%
Other values (22) 41
20.6%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
 
10.1%
16 4
 
2.0%
17 1
 
0.5%
20 7
 
3.5%
21 8
 
4.0%
22 54
27.1%
28 3
 
1.5%
ValueCountFrequency (%)
209 2
 
1.0%
202 2
 
1.0%
121 2
 
1.0%
117 5
2.5%
115 1
 
0.5%
114 4
2.0%
113 6
3.0%
111 1
 
0.5%
100 2
 
1.0%
99 2
 
1.0%

64.1
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.095477
Minimum8
Maximum179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:50.295383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median15
Q361
95-th percentile100
Maximum179
Range171
Interquartile range (IQR)51

Descriptive statistics

Standard deviation37.380462
Coefficient of variation (CV)1.1294734
Kurtosis2.7155991
Mean33.095477
Median Absolute Deviation (MAD)5
Skewness1.7576875
Sum6586
Variance1397.2989
MonotonicityNot monotonic
2023-12-10T15:34:50.519145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
10 64
32.2%
15 54
27.1%
14 12
 
6.0%
97 6
 
3.0%
62 6
 
3.0%
100 5
 
2.5%
11 5
 
2.5%
98 5
 
2.5%
81 4
 
2.0%
84 4
 
2.0%
Other values (18) 34
17.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 64
32.2%
11 5
 
2.5%
13 3
 
1.5%
14 12
 
6.0%
15 54
27.1%
19 3
 
1.5%
38 1
 
0.5%
40 1
 
0.5%
ValueCountFrequency (%)
179 2
 
1.0%
173 2
 
1.0%
103 2
 
1.0%
100 5
2.5%
98 5
2.5%
97 6
3.0%
95 1
 
0.5%
86 2
 
1.0%
84 4
2.0%
83 4
2.0%

0.4
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
27
 
8
2
 
8
1
 
6

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 177
88.9%
27 8
 
4.0%
2 8
 
4.0%
1 6
 
3.0%

Length

2023-12-10T15:34:50.716448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:50.896387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
27 8
 
4.0%
2 8
 
4.0%
1 6
 
3.0%

38.2
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.874372
Minimum11
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:51.080478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median21
Q336
95-th percentile59
Maximum106
Range95
Interquartile range (IQR)22

Descriptive statistics

Standard deviation18.441261
Coefficient of variation (CV)0.68620248
Kurtosis4.6336677
Mean26.874372
Median Absolute Deviation (MAD)7
Skewness2.0104654
Sum5348
Variance340.0801
MonotonicityNot monotonic
2023-12-10T15:34:51.308064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
21 54
27.1%
14 52
26.1%
13 12
 
6.0%
20 8
 
4.0%
19 7
 
3.5%
57 6
 
3.0%
37 6
 
3.0%
58 5
 
2.5%
48 5
 
2.5%
15 4
 
2.0%
Other values (20) 40
20.1%
ValueCountFrequency (%)
11 2
 
1.0%
12 2
 
1.0%
13 12
 
6.0%
14 52
26.1%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
20 8
 
4.0%
21 54
27.1%
23 1
 
0.5%
ValueCountFrequency (%)
106 2
 
1.0%
103 2
 
1.0%
61 2
 
1.0%
60 2
 
1.0%
59 3
1.5%
58 5
2.5%
57 6
3.0%
56 1
 
0.5%
51 2
 
1.0%
50 4
2.0%

25.1
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.939698
Minimum15
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:51.481104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile25
Q129
median34
Q345.5
95-th percentile46
Maximum71
Range56
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.4412795
Coefficient of variation (CV)0.25558626
Kurtosis1.4009204
Mean36.939698
Median Absolute Deviation (MAD)6
Skewness0.81589037
Sum7351
Variance89.13776
MonotonicityNot monotonic
2023-12-10T15:34:51.694234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
46 43
21.6%
29 32
16.1%
31 20
10.1%
30 13
 
6.5%
45 11
 
5.5%
33 10
 
5.0%
41 9
 
4.5%
43 8
 
4.0%
25 8
 
4.0%
38 7
 
3.5%
Other values (15) 38
19.1%
ValueCountFrequency (%)
15 1
 
0.5%
16 1
 
0.5%
20 1
 
0.5%
23 2
 
1.0%
24 3
 
1.5%
25 8
 
4.0%
27 2
 
1.0%
28 1
 
0.5%
29 32
16.1%
30 13
6.5%
ValueCountFrequency (%)
71 2
 
1.0%
69 2
 
1.0%
58 3
 
1.5%
46 43
21.6%
45 11
 
5.5%
43 8
 
4.0%
41 9
 
4.5%
40 5
 
2.5%
39 5
 
2.5%
38 7
 
3.5%

62
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290
Minimum19
Maximum569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:51.880931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile54
Q1157.5
median291
Q3438
95-th percentile453
Maximum569
Range550
Interquartile range (IQR)280.5

Descriptive statistics

Standard deviation147.72042
Coefficient of variation (CV)0.50938077
Kurtosis-1.0322611
Mean290
Median Absolute Deviation (MAD)147
Skewness-0.4002161
Sum57710
Variance21821.323
MonotonicityNot monotonic
2023-12-10T15:34:52.111791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
450 21
 
10.6%
302 15
 
7.5%
285 12
 
6.0%
449 11
 
5.5%
453 11
 
5.5%
288 11
 
5.5%
54 11
 
5.5%
438 11
 
5.5%
291 10
 
5.0%
286 9
 
4.5%
Other values (30) 77
38.7%
ValueCountFrequency (%)
19 1
 
0.5%
20 2
 
1.0%
44 1
 
0.5%
46 1
 
0.5%
53 1
 
0.5%
54 11
5.5%
56 5
2.5%
57 2
 
1.0%
59 4
 
2.0%
60 6
3.0%
ValueCountFrequency (%)
569 3
 
1.5%
453 11
5.5%
450 21
10.6%
449 11
5.5%
438 11
5.5%
423 8
 
4.0%
407 4
 
2.0%
398 3
 
1.5%
341 1
 
0.5%
321 4
 
2.0%

96
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.27638
Minimum30
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:52.356759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile83
Q1202.5
median290
Q3424
95-th percentile438
Maximum551
Range521
Interquartile range (IQR)221.5

Descriptive statistics

Standard deviation128.50362
Coefficient of variation (CV)0.4381656
Kurtosis-0.87469614
Mean293.27638
Median Absolute Deviation (MAD)119
Skewness-0.35618693
Sum58362
Variance16513.181
MonotonicityNot monotonic
2023-12-10T15:34:52.619918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
436 21
 
10.6%
435 11
 
5.5%
438 11
 
5.5%
292 11
 
5.5%
424 11
 
5.5%
282 10
 
5.0%
277 9
 
4.5%
278 9
 
4.5%
409 8
 
4.0%
276 8
 
4.0%
Other values (32) 90
45.2%
ValueCountFrequency (%)
30 3
1.5%
69 1
 
0.5%
72 1
 
0.5%
81 1
 
0.5%
83 6
3.0%
84 5
2.5%
86 5
2.5%
89 2
 
1.0%
92 4
2.0%
93 6
3.0%
ValueCountFrequency (%)
551 3
 
1.5%
438 11
5.5%
436 21
10.6%
435 11
5.5%
424 11
5.5%
409 8
 
4.0%
393 4
 
2.0%
386 3
 
1.5%
329 1
 
0.5%
314 2
 
1.0%

15.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.713568
Minimum5
Maximum113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:52.845681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q137.5
median58
Q387
95-th percentile90
Maximum113
Range108
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation28.312887
Coefficient of variation (CV)0.48222051
Kurtosis-0.98055695
Mean58.713568
Median Absolute Deviation (MAD)29
Skewness-0.38041254
Sum11684
Variance801.61956
MonotonicityNot monotonic
2023-12-10T15:34:53.072675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
90 43
21.6%
57 32
16.1%
13 17
 
8.5%
60 17
 
8.5%
58 12
 
6.0%
87 11
 
5.5%
15 8
 
4.0%
28 8
 
4.0%
84 8
 
4.0%
14 6
 
3.0%
Other values (16) 37
18.6%
ValueCountFrequency (%)
5 3
 
1.5%
11 2
 
1.0%
13 17
8.5%
14 6
 
3.0%
15 8
4.0%
25 1
 
0.5%
27 3
 
1.5%
28 8
4.0%
29 2
 
1.0%
46 2
 
1.0%
ValueCountFrequency (%)
113 3
 
1.5%
90 43
21.6%
87 11
 
5.5%
84 8
 
4.0%
81 4
 
2.0%
79 3
 
1.5%
68 1
 
0.5%
64 4
 
2.0%
61 2
 
1.0%
60 17
 
8.5%

15.2
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.095477
Minimum5
Maximum88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:53.267576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q133
median47
Q368
95-th percentile70
Maximum88
Range83
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.583556
Coefficient of variation (CV)0.43706013
Kurtosis-0.8811394
Mean47.095477
Median Absolute Deviation (MAD)19
Skewness-0.35797333
Sum9372
Variance423.68276
MonotonicityNot monotonic
2023-12-10T15:34:53.452524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
70 43
21.6%
45 23
11.6%
44 21
10.6%
47 19
9.5%
15 12
 
6.0%
14 12
 
6.0%
68 11
 
5.5%
29 8
 
4.0%
66 8
 
4.0%
13 7
 
3.5%
Other values (16) 35
17.6%
ValueCountFrequency (%)
5 3
 
1.5%
11 1
 
0.5%
12 1
 
0.5%
13 7
3.5%
14 12
6.0%
15 12
6.0%
26 1
 
0.5%
28 3
 
1.5%
29 8
4.0%
30 2
 
1.0%
ValueCountFrequency (%)
88 3
 
1.5%
70 43
21.6%
68 11
 
5.5%
66 8
 
4.0%
63 4
 
2.0%
62 3
 
1.5%
53 1
 
0.5%
51 2
 
1.0%
50 4
 
2.0%
49 2
 
1.0%

15.3
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.155779
Minimum5
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:53.656095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q130.5
median44
Q364
95-th percentile66
Maximum83
Range78
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.16043
Coefficient of variation (CV)0.43392802
Kurtosis-0.86880771
Mean44.155779
Median Absolute Deviation (MAD)18
Skewness-0.35333812
Sum8787
Variance367.12208
MonotonicityNot monotonic
2023-12-10T15:34:53.878385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
42 32
16.1%
65 32
16.1%
44 19
9.5%
13 16
8.0%
41 12
 
6.0%
14 12
 
6.0%
66 11
 
5.5%
64 11
 
5.5%
62 8
 
4.0%
27 7
 
3.5%
Other values (15) 39
19.6%
ValueCountFrequency (%)
5 3
 
1.5%
11 2
 
1.0%
12 1
 
0.5%
13 16
8.0%
14 12
6.0%
15 2
 
1.0%
25 1
 
0.5%
27 7
3.5%
28 6
 
3.0%
33 2
 
1.0%
ValueCountFrequency (%)
83 3
 
1.5%
66 11
 
5.5%
65 32
16.1%
64 11
 
5.5%
62 8
 
4.0%
59 4
 
2.0%
58 3
 
1.5%
50 1
 
0.5%
48 2
 
1.0%
47 6
 
3.0%

10.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.296482
Minimum3
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:54.103476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q125.5
median55
Q383
95-th percentile86
Maximum108
Range105
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation28.67684
Coefficient of variation (CV)0.52815281
Kurtosis-1.0656795
Mean54.296482
Median Absolute Deviation (MAD)28
Skewness-0.4078263
Sum10805
Variance822.36115
MonotonicityNot monotonic
2023-12-10T15:34:54.308223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
85 32
16.1%
54 30
15.1%
9 19
9.5%
57 17
8.5%
55 14
 
7.0%
10 12
 
6.0%
83 11
 
5.5%
86 11
 
5.5%
19 10
 
5.0%
80 8
 
4.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
3 3
 
1.5%
7 1
 
0.5%
8 1
 
0.5%
9 19
9.5%
10 12
6.0%
17 1
 
0.5%
18 3
 
1.5%
19 10
5.0%
32 2
 
1.0%
33 2
 
1.0%
ValueCountFrequency (%)
108 3
 
1.5%
86 11
 
5.5%
85 32
16.1%
83 11
 
5.5%
80 8
 
4.0%
77 4
 
2.0%
75 3
 
1.5%
64 1
 
0.5%
61 4
 
2.0%
58 2
 
1.0%

7.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.899497
Minimum2
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:54.514016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q117
median93
Q3140
95-th percentile144
Maximum181
Range179
Interquartile range (IQR)123

Descriptive statistics

Standard deviation53.407618
Coefficient of variation (CV)0.60759868
Kurtosis-1.1435436
Mean87.899497
Median Absolute Deviation (MAD)50
Skewness-0.48555856
Sum17492
Variance2852.3737
MonotonicityNot monotonic
2023-12-10T15:34:54.712631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
144 32
16.1%
6 29
14.6%
91 21
10.6%
96 16
8.0%
93 12
 
6.0%
143 11
 
5.5%
140 11
 
5.5%
92 11
 
5.5%
12 11
 
5.5%
135 8
 
4.0%
Other values (16) 37
18.6%
ValueCountFrequency (%)
2 3
 
1.5%
5 2
 
1.0%
6 29
14.6%
7 2
 
1.0%
11 1
 
0.5%
12 11
 
5.5%
13 2
 
1.0%
21 2
 
1.0%
22 2
 
1.0%
73 2
 
1.0%
ValueCountFrequency (%)
181 3
 
1.5%
144 32
16.1%
143 11
 
5.5%
140 11
 
5.5%
135 8
 
4.0%
130 4
 
2.0%
127 3
 
1.5%
109 1
 
0.5%
102 4
 
2.0%
97 2
 
1.0%

28
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.683417
Minimum9
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:54.932416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile25
Q153.5
median66
Q396
95-th percentile99
Maximum125
Range116
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation27.030385
Coefficient of variation (CV)0.39355038
Kurtosis-0.79117044
Mean68.683417
Median Absolute Deviation (MAD)27
Skewness-0.32131269
Sum13668
Variance730.64169
MonotonicityNot monotonic
2023-12-10T15:34:55.155259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
99 32
16.1%
63 20
10.1%
66 17
 
8.5%
25 16
 
8.0%
62 12
 
6.0%
64 12
 
6.0%
96 11
 
5.5%
98 11
 
5.5%
93 10
 
5.0%
27 10
 
5.0%
Other values (20) 48
24.1%
ValueCountFrequency (%)
9 3
 
1.5%
20 1
 
0.5%
21 1
 
0.5%
24 1
 
0.5%
25 16
8.0%
26 2
 
1.0%
27 10
5.0%
28 2
 
1.0%
47 1
 
0.5%
50 2
 
1.0%
ValueCountFrequency (%)
125 3
 
1.5%
99 32
16.1%
98 11
 
5.5%
96 11
 
5.5%
93 10
 
5.0%
90 2
 
1.0%
89 4
 
2.0%
87 3
 
1.5%
75 1
 
0.5%
70 4
 
2.0%

0.5
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
2
33 
46
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 158
79.4%
2 33
 
16.6%
46 8
 
4.0%

Length

2023-12-10T15:34:55.369655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:34:55.552209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
2 33
 
16.6%
46 8
 
4.0%

23.1
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.281407
Minimum7
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:55.789088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile20
Q143
median47
Q370
95-th percentile71
Maximum90
Range83
Interquartile range (IQR)27

Descriptive statistics

Standard deviation18.822166
Coefficient of variation (CV)0.37433651
Kurtosis-0.7484875
Mean50.281407
Median Absolute Deviation (MAD)20
Skewness-0.29883165
Sum10006
Variance354.27395
MonotonicityNot monotonic
2023-12-10T15:34:56.001189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
71 43
21.6%
45 32
16.1%
48 17
 
8.5%
20 16
 
8.0%
46 12
 
6.0%
69 11
 
5.5%
22 10
 
5.0%
67 8
 
4.0%
41 5
 
2.5%
42 4
 
2.0%
Other values (18) 41
20.6%
ValueCountFrequency (%)
7 3
 
1.5%
16 1
 
0.5%
17 1
 
0.5%
19 1
 
0.5%
20 16
8.0%
21 2
 
1.0%
22 10
5.0%
23 2
 
1.0%
36 2
 
1.0%
38 1
 
0.5%
ValueCountFrequency (%)
90 3
 
1.5%
74 2
 
1.0%
72 2
 
1.0%
71 43
21.6%
69 11
 
5.5%
67 8
 
4.0%
64 4
 
2.0%
63 3
 
1.5%
54 1
 
0.5%
51 4
 
2.0%

19
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.361809
Minimum6
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:56.178399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile16
Q131
median33
Q347.5
95-th percentile49
Maximum62
Range56
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation12.266805
Coefficient of variation (CV)0.34689415
Kurtosis-0.5606985
Mean35.361809
Median Absolute Deviation (MAD)12
Skewness-0.15625774
Sum7037
Variance150.47449
MonotonicityNot monotonic
2023-12-10T15:34:56.381945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
31 44
22.1%
48 32
16.1%
32 15
 
7.5%
35 12
 
6.0%
16 12
 
6.0%
49 11
 
5.5%
47 11
 
5.5%
18 10
 
5.0%
45 8
 
4.0%
17 7
 
3.5%
Other values (15) 37
18.6%
ValueCountFrequency (%)
6 3
 
1.5%
13 1
 
0.5%
14 1
 
0.5%
16 12
 
6.0%
17 7
 
3.5%
18 10
 
5.0%
19 2
 
1.0%
25 2
 
1.0%
28 2
 
1.0%
31 44
22.1%
ValueCountFrequency (%)
62 2
 
1.0%
61 3
 
1.5%
60 2
 
1.0%
49 11
 
5.5%
48 32
16.1%
47 11
 
5.5%
45 8
 
4.0%
44 4
 
2.0%
43 3
 
1.5%
37 1
 
0.5%

16
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.869347
Minimum5
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:56.621564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile14
Q132
median45
Q366
95-th percentile68
Maximum86
Range81
Interquartile range (IQR)34

Descriptive statistics

Standard deviation19.784521
Coefficient of variation (CV)0.43132337
Kurtosis-0.87302974
Mean45.869347
Median Absolute Deviation (MAD)19
Skewness-0.33437369
Sum9128
Variance391.42729
MonotonicityNot monotonic
2023-12-10T15:34:56.879249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
68 43
21.6%
43 32
16.1%
14 18
9.0%
45 18
9.0%
44 12
 
6.0%
66 11
 
5.5%
15 10
 
5.0%
64 8
 
4.0%
29 8
 
4.0%
61 4
 
2.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
5 3
 
1.5%
11 1
 
0.5%
12 1
 
0.5%
13 1
 
0.5%
14 18
9.0%
15 10
5.0%
16 2
 
1.0%
26 1
 
0.5%
28 3
 
1.5%
29 8
4.0%
ValueCountFrequency (%)
86 3
 
1.5%
68 43
21.6%
66 11
 
5.5%
64 8
 
4.0%
61 4
 
2.0%
60 3
 
1.5%
51 3
 
1.5%
50 2
 
1.0%
48 4
 
2.0%
46 2
 
1.0%

10.2
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.723618
Minimum3
Maximum185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:57.166111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q126.5
median95
Q3142
95-th percentile147
Maximum185
Range182
Interquartile range (IQR)115.5

Descriptive statistics

Standard deviation52.510692
Coefficient of variation (CV)0.57879847
Kurtosis-1.1208985
Mean90.723618
Median Absolute Deviation (MAD)51
Skewness-0.46002217
Sum18054
Variance2757.3727
MonotonicityNot monotonic
2023-12-10T15:34:57.403061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
146 32
16.1%
93 26
13.1%
9 17
 
8.5%
98 15
 
7.5%
10 14
 
7.0%
142 11
 
5.5%
147 11
 
5.5%
95 10
 
5.0%
137 8
 
4.0%
19 7
 
3.5%
Other values (18) 48
24.1%
ValueCountFrequency (%)
3 3
 
1.5%
7 1
 
0.5%
8 1
 
0.5%
9 17
8.5%
10 14
7.0%
17 1
 
0.5%
19 7
3.5%
20 6
 
3.0%
33 2
 
1.0%
34 2
 
1.0%
ValueCountFrequency (%)
185 3
 
1.5%
147 11
 
5.5%
146 32
16.1%
142 11
 
5.5%
137 8
 
4.0%
132 4
 
2.0%
129 3
 
1.5%
111 1
 
0.5%
104 4
 
2.0%
99 2
 
1.0%

296
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.8794
Minimum0
Maximum320
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:57.648907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q1160
median170
Q3253
95-th percentile288
Maximum320
Range320
Interquartile range (IQR)93

Descriptive statistics

Standard deviation73.374751
Coefficient of variation (CV)0.396879
Kurtosis-0.30849592
Mean184.8794
Median Absolute Deviation (MAD)67
Skewness-0.56535538
Sum36791
Variance5383.8541
MonotonicityNot monotonic
2023-12-10T15:34:57.923847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
253 32
16.1%
170 15
 
7.5%
160 12
 
6.0%
255 11
 
5.5%
246 11
 
5.5%
162 11
 
5.5%
45 10
 
5.0%
164 10
 
5.0%
161 9
 
4.5%
122 8
 
4.0%
Other values (27) 70
35.2%
ValueCountFrequency (%)
0 3
 
1.5%
44 1
 
0.5%
45 10
5.0%
46 1
 
0.5%
47 6
3.0%
48 2
 
1.0%
49 1
 
0.5%
62 1
 
0.5%
118 3
 
1.5%
122 8
4.0%
ValueCountFrequency (%)
320 3
 
1.5%
296 2
 
1.0%
288 6
 
3.0%
283 3
 
1.5%
255 11
 
5.5%
253 32
16.1%
246 11
 
5.5%
237 8
 
4.0%
229 4
 
2.0%
224 3
 
1.5%

421
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean194.28643
Minimum0
Maximum421
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:58.657387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64.9
Q1155.5
median173
Q3244.5
95-th percentile403
Maximum421
Range421
Interquartile range (IQR)89

Descriptive statistics

Standard deviation81.755013
Coefficient of variation (CV)0.42079631
Kurtosis1.1271463
Mean194.28643
Median Absolute Deviation (MAD)57
Skewness0.51604132
Sum38663
Variance6683.8822
MonotonicityNot monotonic
2023-12-10T15:34:58.923108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
245 21
 
10.6%
155 21
 
10.6%
164 13
 
6.5%
158 12
 
6.0%
244 11
 
5.5%
239 11
 
5.5%
246 11
 
5.5%
156 9
 
4.5%
230 8
 
4.0%
64 6
 
3.0%
Other values (28) 76
38.2%
ValueCountFrequency (%)
0 3
 
1.5%
63 1
 
0.5%
64 6
 
3.0%
65 5
 
2.5%
66 6
 
3.0%
69 3
 
1.5%
89 1
 
0.5%
124 2
 
1.0%
142 2
 
1.0%
155 21
10.6%
ValueCountFrequency (%)
421 2
 
1.0%
411 3
 
1.5%
410 3
 
1.5%
403 3
 
1.5%
310 3
 
1.5%
303 2
 
1.0%
294 2
 
1.0%
246 11
5.5%
245 21
10.6%
244 11
5.5%

83
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.603015
Minimum0
Maximum83
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:59.145172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q132
median34
Q350
95-th percentile80
Maximum83
Range83
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.331113
Coefficient of variation (CV)0.41237044
Kurtosis0.85204643
Mean39.603015
Median Absolute Deviation (MAD)13
Skewness0.35949695
Sum7881
Variance266.70524
MonotonicityNot monotonic
2023-12-10T15:34:59.353741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
32 32
16.1%
50 32
16.1%
34 27
13.6%
13 17
8.5%
33 16
8.0%
51 11
 
5.5%
49 11
 
5.5%
47 8
 
4.0%
81 6
 
3.0%
36 4
 
2.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
0 3
 
1.5%
12 1
 
0.5%
13 17
8.5%
14 3
 
1.5%
18 1
 
0.5%
26 2
 
1.0%
29 2
 
1.0%
32 32
16.1%
33 16
8.0%
34 27
13.6%
ValueCountFrequency (%)
83 2
 
1.0%
81 6
 
3.0%
80 3
 
1.5%
64 3
 
1.5%
60 2
 
1.0%
58 2
 
1.0%
51 11
 
5.5%
50 32
16.1%
49 11
 
5.5%
47 8
 
4.0%

72
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.698492
Minimum0
Maximum72
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:34:59.688588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q125
median29
Q339
95-th percentile69
Maximum72
Range72
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.819893
Coefficient of variation (CV)0.4359795
Kurtosis1.7410956
Mean31.698492
Median Absolute Deviation (MAD)8
Skewness0.81029312
Sum6308
Variance190.98944
MonotonicityNot monotonic
2023-12-10T15:34:59.903435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25 44
22.1%
39 32
16.1%
26 18
9.0%
11 18
9.0%
40 11
 
5.5%
38 11
 
5.5%
30 9
 
4.5%
37 8
 
4.0%
71 6
 
3.0%
36 5
 
2.5%
Other values (15) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
11 18
9.0%
12 3
 
1.5%
15 1
 
0.5%
20 2
 
1.0%
23 2
 
1.0%
25 44
22.1%
26 18
9.0%
27 2
 
1.0%
28 4
 
2.0%
ValueCountFrequency (%)
72 2
 
1.0%
71 6
 
3.0%
69 3
 
1.5%
52 2
 
1.0%
51 2
 
1.0%
50 3
 
1.5%
40 11
 
5.5%
39 32
16.1%
38 11
 
5.5%
37 8
 
4.0%

67
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.713568
Minimum0
Maximum67
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:00.107975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q123.5
median27
Q337
95-th percentile64
Maximum67
Range67
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation12.782302
Coefficient of variation (CV)0.43018401
Kurtosis1.5488974
Mean29.713568
Median Absolute Deviation (MAD)8
Skewness0.72440004
Sum5913
Variance163.38724
MonotonicityNot monotonic
2023-12-10T15:35:00.290953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37 43
21.6%
24 25
12.6%
23 21
10.6%
25 18
9.0%
10 12
 
6.0%
36 11
 
5.5%
11 9
 
4.5%
35 8
 
4.0%
33 8
 
4.0%
27 7
 
3.5%
Other values (11) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
10 12
6.0%
11 9
 
4.5%
14 1
 
0.5%
19 2
 
1.0%
21 2
 
1.0%
23 21
10.6%
24 25
12.6%
25 18
9.0%
26 4
 
2.0%
ValueCountFrequency (%)
67 2
 
1.0%
65 6
 
3.0%
64 3
 
1.5%
48 2
 
1.0%
47 5
 
2.5%
37 43
21.6%
36 11
 
5.5%
35 8
 
4.0%
33 8
 
4.0%
28 7
 
3.5%

50
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.341709
Minimum0
Maximum61
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:00.506899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q130
median32
Q348
95-th percentile49
Maximum61
Range61
Interquartile range (IQR)18

Descriptive statistics

Standard deviation13.835024
Coefficient of variation (CV)0.4028636
Kurtosis-0.33513197
Mean34.341709
Median Absolute Deviation (MAD)13
Skewness-0.62154764
Sum6834
Variance191.4079
MonotonicityNot monotonic
2023-12-10T15:35:00.755194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
48 46
23.1%
31 23
11.6%
30 21
10.6%
32 20
10.1%
8 20
10.1%
47 11
 
5.5%
21 10
 
5.0%
45 8
 
4.0%
49 6
 
3.0%
43 4
 
2.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
0 3
 
1.5%
7 1
 
0.5%
8 20
10.1%
11 1
 
0.5%
20 3
 
1.5%
21 10
5.0%
24 2
 
1.0%
25 1
 
0.5%
28 2
 
1.0%
30 21
10.6%
ValueCountFrequency (%)
61 3
 
1.5%
50 2
 
1.0%
49 6
 
3.0%
48 46
23.1%
47 11
 
5.5%
45 8
 
4.0%
43 4
 
2.0%
42 3
 
1.5%
36 3
 
1.5%
35 2
 
1.0%

0.6
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
2
 
14
32
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row32
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 177
88.9%
2 14
 
7.0%
32 8
 
4.0%

Length

2023-12-10T15:35:00.983140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:01.144373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
2 14
 
7.0%
32 8
 
4.0%

23.2
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.80402
Minimum0
Maximum102
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:01.320192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q122
median52
Q379
95-th percentile81
Maximum102
Range102
Interquartile range (IQR)57

Descriptive statistics

Standard deviation28.342544
Coefficient of variation (CV)0.55787994
Kurtosis-1.0275413
Mean50.80402
Median Absolute Deviation (MAD)29
Skewness-0.46404362
Sum10110
Variance803.29978
MonotonicityNot monotonic
2023-12-10T15:35:01.655239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
81 43
21.6%
52 23
11.6%
51 21
10.6%
54 19
9.5%
4 14
 
7.0%
79 11
 
5.5%
9 9
 
4.5%
22 9
 
4.5%
76 8
 
4.0%
3 7
 
3.5%
Other values (15) 35
17.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 7
3.5%
4 14
7.0%
5 1
 
0.5%
9 9
4.5%
10 4
 
2.0%
11 1
 
0.5%
16 2
 
1.0%
17 2
 
1.0%
22 9
4.5%
ValueCountFrequency (%)
102 3
 
1.5%
81 43
21.6%
79 11
 
5.5%
76 8
 
4.0%
73 4
 
2.0%
71 3
 
1.5%
61 1
 
0.5%
58 4
 
2.0%
54 19
9.5%
53 1
 
0.5%

159
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.236181
Minimum0
Maximum159
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:01.873255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q135
median49
Q355
95-th percentile153
Maximum159
Range159
Interquartile range (IQR)20

Descriptive statistics

Standard deviation30.156151
Coefficient of variation (CV)0.5885714
Kurtosis5.6601218
Mean51.236181
Median Absolute Deviation (MAD)13
Skewness2.289545
Sum10196
Variance909.39343
MonotonicityNot monotonic
2023-12-10T15:35:02.128997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
55 32
16.1%
35 30
15.1%
37 20
10.1%
36 14
 
7.0%
56 11
 
5.5%
24 11
 
5.5%
54 11
 
5.5%
52 8
 
4.0%
25 7
 
3.5%
155 6
 
3.0%
Other values (20) 49
24.6%
ValueCountFrequency (%)
0 3
 
1.5%
24 11
 
5.5%
25 7
 
3.5%
26 3
 
1.5%
28 2
 
1.0%
32 2
 
1.0%
34 1
 
0.5%
35 30
15.1%
36 14
7.0%
37 20
10.1%
ValueCountFrequency (%)
159 2
 
1.0%
155 6
3.0%
153 3
1.5%
115 2
 
1.0%
111 2
 
1.0%
79 1
 
0.5%
70 3
1.5%
67 2
 
1.0%
66 4
2.0%
65 4
2.0%

102.2
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.442211
Minimum0
Maximum102
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:02.369724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15.9
Q125
median35
Q340
95-th percentile98
Maximum102
Range102
Interquartile range (IQR)15

Descriptive statistics

Standard deviation19.030954
Coefficient of variation (CV)0.53695729
Kurtosis4.8582801
Mean35.442211
Median Absolute Deviation (MAD)8
Skewness2.0089707
Sum7053
Variance362.1772
MonotonicityNot monotonic
2023-12-10T15:35:02.725559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
40 43
21.6%
25 30
15.1%
27 18
9.0%
26 16
 
8.0%
16 11
 
5.5%
39 11
 
5.5%
42 8
 
4.0%
37 8
 
4.0%
15 7
 
3.5%
99 6
 
3.0%
Other values (16) 41
20.6%
ValueCountFrequency (%)
0 3
 
1.5%
15 7
 
3.5%
16 11
 
5.5%
17 3
 
1.5%
20 2
 
1.0%
22 1
 
0.5%
23 2
 
1.0%
25 30
15.1%
26 16
8.0%
27 18
9.0%
ValueCountFrequency (%)
102 2
 
1.0%
99 6
 
3.0%
98 3
 
1.5%
73 2
 
1.0%
71 2
 
1.0%
50 4
 
2.0%
43 2
 
1.0%
42 8
 
4.0%
41 3
 
1.5%
40 43
21.6%

76
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.899497
Minimum0
Maximum76
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:02.949249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q117
median24
Q327
95-th percentile73
Maximum76
Range76
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.336855
Coefficient of variation (CV)0.57578892
Kurtosis5.5204216
Mean24.899497
Median Absolute Deviation (MAD)6
Skewness2.2403442
Sum4955
Variance205.5454
MonotonicityNot monotonic
2023-12-10T15:35:03.212824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
27 54
27.1%
17 32
16.1%
18 32
16.1%
12 20
 
10.1%
31 8
 
4.0%
26 8
 
4.0%
74 6
 
3.0%
19 4
 
2.0%
25 4
 
2.0%
73 3
 
1.5%
Other values (13) 28
14.1%
ValueCountFrequency (%)
0 3
 
1.5%
11 1
 
0.5%
12 20
10.1%
14 2
 
1.0%
16 3
 
1.5%
17 32
16.1%
18 32
16.1%
19 4
 
2.0%
21 1
 
0.5%
24 3
 
1.5%
ValueCountFrequency (%)
76 2
 
1.0%
74 6
3.0%
73 3
 
1.5%
55 2
 
1.0%
53 2
 
1.0%
38 1
 
0.5%
34 3
 
1.5%
32 2
 
1.0%
31 8
4.0%
30 3
 
1.5%

57
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.296482
Minimum0
Maximum57
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:03.438637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q124
median26
Q338
95-th percentile55
Maximum57
Range57
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.763131
Coefficient of variation (CV)0.40152025
Kurtosis0.27404731
Mean29.296482
Median Absolute Deviation (MAD)10
Skewness0.004805571
Sum5830
Variance138.37125
MonotonicityNot monotonic
2023-12-10T15:35:03.696002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
38 43
21.6%
24 42
21.1%
9 21
10.6%
26 17
 
8.5%
25 15
 
7.5%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%
56 6
 
3.0%
27 4
 
2.0%
Other values (12) 25
12.6%
ValueCountFrequency (%)
0 3
 
1.5%
9 21
10.6%
12 1
 
0.5%
19 2
 
1.0%
22 2
 
1.0%
23 3
 
1.5%
24 42
21.1%
25 15
 
7.5%
26 17
8.5%
27 4
 
2.0%
ValueCountFrequency (%)
57 2
 
1.0%
56 6
 
3.0%
55 3
 
1.5%
48 3
 
1.5%
41 2
 
1.0%
40 2
 
1.0%
38 43
21.6%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%

27.1
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.98995
Minimum0
Maximum104
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:03.917535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q126
median53
Q380
95-th percentile83
Maximum104
Range104
Interquartile range (IQR)54

Descriptive statistics

Standard deviation28.330479
Coefficient of variation (CV)0.54492223
Kurtosis-0.97576165
Mean51.98995
Median Absolute Deviation (MAD)27
Skewness-0.46678407
Sum10346
Variance802.61606
MonotonicityNot monotonic
2023-12-10T15:35:04.129586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
82 32
16.1%
52 30
15.1%
4 21
10.6%
55 19
9.5%
53 14
7.0%
11 13
 
6.5%
80 11
 
5.5%
83 11
 
5.5%
77 8
 
4.0%
26 6
 
3.0%
Other values (14) 34
17.1%
ValueCountFrequency (%)
0 3
 
1.5%
4 21
10.6%
6 1
 
0.5%
11 13
6.5%
13 1
 
0.5%
19 4
 
2.0%
25 3
 
1.5%
26 6
 
3.0%
27 2
 
1.0%
42 2
 
1.0%
ValueCountFrequency (%)
104 3
 
1.5%
83 11
 
5.5%
82 32
16.1%
80 11
 
5.5%
77 8
 
4.0%
74 4
 
2.0%
73 3
 
1.5%
62 1
 
0.5%
59 4
 
2.0%
55 19
9.5%

59
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.54774
Minimum50
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:04.343533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile57
Q1144.5
median202
Q3296
95-th percentile306
Maximum385
Range335
Interquartile range (IQR)151.5

Descriptive statistics

Standard deviation80.990749
Coefficient of variation (CV)0.38466692
Kurtosis-0.8655629
Mean210.54774
Median Absolute Deviation (MAD)77
Skewness-0.19020538
Sum41899
Variance6559.5015
MonotonicityNot monotonic
2023-12-10T15:35:04.606267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
193 21
 
10.6%
304 21
 
10.6%
204 17
 
8.5%
296 11
 
5.5%
195 11
 
5.5%
303 11
 
5.5%
306 11
 
5.5%
197 10
 
5.0%
286 8
 
4.0%
103 6
 
3.0%
Other values (31) 72
36.2%
ValueCountFrequency (%)
50 1
 
0.5%
53 1
 
0.5%
56 3
1.5%
57 6
3.0%
59 2
 
1.0%
68 1
 
0.5%
93 1
 
0.5%
100 3
1.5%
103 6
3.0%
104 2
 
1.0%
ValueCountFrequency (%)
385 3
 
1.5%
306 11
5.5%
304 21
10.6%
303 11
5.5%
296 11
5.5%
286 8
 
4.0%
275 4
 
2.0%
269 3
 
1.5%
230 1
 
0.5%
217 4
 
2.0%

68
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.43216
Minimum58
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:04.896208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile66
Q1153
median196
Q3287
95-th percentile296
Maximum372
Range314
Interquartile range (IQR)134

Descriptive statistics

Standard deviation72.803001
Coefficient of variation (CV)0.34762092
Kurtosis-0.75140165
Mean209.43216
Median Absolute Deviation (MAD)67
Skewness-0.13765329
Sum41677
Variance5300.2769
MonotonicityNot monotonic
2023-12-10T15:35:05.153894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
295 21
 
10.6%
198 13
 
6.5%
190 12
 
6.0%
186 12
 
6.0%
296 11
 
5.5%
294 11
 
5.5%
287 11
 
5.5%
188 11
 
5.5%
187 9
 
4.5%
276 8
 
4.0%
Other values (33) 80
40.2%
ValueCountFrequency (%)
58 1
 
0.5%
61 1
 
0.5%
65 3
1.5%
66 6
3.0%
68 2
 
1.0%
78 1
 
0.5%
108 1
 
0.5%
116 3
1.5%
120 6
3.0%
121 2
 
1.0%
ValueCountFrequency (%)
372 3
 
1.5%
296 11
5.5%
295 21
10.6%
294 11
5.5%
287 11
5.5%
276 8
 
4.0%
266 4
 
2.0%
261 3
 
1.5%
244 2
 
1.0%
236 2
 
1.0%

24.1
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.984925
Minimum20
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:05.373650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23
Q139
median43
Q359.5
95-th percentile61
Maximum85
Range65
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.81905
Coefficient of variation (CV)0.26714745
Kurtosis0.060823691
Mean47.984925
Median Absolute Deviation (MAD)9
Skewness0.20433597
Sum9549
Variance164.32805
MonotonicityNot monotonic
2023-12-10T15:35:05.583889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
61 32
16.1%
39 23
11.6%
38 22
11.1%
41 19
9.5%
59 11
 
5.5%
60 11
 
5.5%
51 10
 
5.0%
23 9
 
4.5%
57 8
 
4.0%
42 8
 
4.0%
Other values (18) 46
23.1%
ValueCountFrequency (%)
20 1
 
0.5%
21 1
 
0.5%
23 9
 
4.5%
24 2
 
1.0%
27 1
 
0.5%
31 2
 
1.0%
35 2
 
1.0%
38 22
11.1%
39 23
11.6%
40 4
 
2.0%
ValueCountFrequency (%)
85 2
 
1.0%
82 2
 
1.0%
77 3
 
1.5%
61 32
16.1%
60 11
 
5.5%
59 11
 
5.5%
57 8
 
4.0%
55 4
 
2.0%
54 5
 
2.5%
53 5
 
2.5%

12.2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.261307
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:05.861158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile12
Q127
median31
Q346
95-th percentile48
Maximum60
Range50
Interquartile range (IQR)19

Descriptive statistics

Standard deviation11.102009
Coefficient of variation (CV)0.32403928
Kurtosis-0.65571535
Mean34.261307
Median Absolute Deviation (MAD)9
Skewness-0.11065245
Sum6818
Variance123.25461
MonotonicityNot monotonic
2023-12-10T15:35:06.097657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
30 34
17.1%
47 32
16.1%
32 18
9.0%
26 12
 
6.0%
31 12
 
6.0%
12 11
 
5.5%
48 11
 
5.5%
46 11
 
5.5%
44 10
 
5.0%
27 7
 
3.5%
Other values (14) 41
20.6%
ValueCountFrequency (%)
10 1
 
0.5%
11 1
 
0.5%
12 11
5.5%
14 1
 
0.5%
19 1
 
0.5%
21 7
3.5%
22 7
3.5%
23 2
 
1.0%
24 2
 
1.0%
26 12
6.0%
ValueCountFrequency (%)
60 3
 
1.5%
48 11
 
5.5%
47 32
16.1%
46 11
 
5.5%
44 10
 
5.0%
43 4
 
2.0%
42 5
 
2.5%
36 1
 
0.5%
34 4
 
2.0%
32 18
9.0%

0.7
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
27
 
8
2
 
8
1
 
6

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 177
88.9%
27 8
 
4.0%
2 8
 
4.0%
1 6
 
3.0%

Length

2023-12-10T15:35:06.388695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:06.611982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
27 8
 
4.0%
2 8
 
4.0%
1 6
 
3.0%

11.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.663317
Minimum9
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:06.800762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10
Q123.5
median29
Q343
95-th percentile45
Maximum56
Range47
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation10.79479
Coefficient of variation (CV)0.34092416
Kurtosis-0.71258939
Mean31.663317
Median Absolute Deviation (MAD)10
Skewness-0.14220968
Sum6301
Variance116.52749
MonotonicityNot monotonic
2023-12-10T15:35:07.017501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
44 32
16.1%
28 32
16.1%
30 17
8.5%
29 15
 
7.5%
23 12
 
6.0%
43 11
 
5.5%
45 11
 
5.5%
19 11
 
5.5%
10 9
 
4.5%
42 8
 
4.0%
Other values (16) 41
20.6%
ValueCountFrequency (%)
9 2
 
1.0%
10 9
4.5%
11 2
 
1.0%
12 1
 
0.5%
17 1
 
0.5%
18 3
 
1.5%
19 11
5.5%
20 2
 
1.0%
22 7
3.5%
23 12
6.0%
ValueCountFrequency (%)
56 3
 
1.5%
45 11
 
5.5%
44 32
16.1%
43 11
 
5.5%
42 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
38 2
 
1.0%
37 2
 
1.0%
33 1
 
0.5%

8.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.472362
Minimum7
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:07.206014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q124
median37
Q356
95-th percentile58
Maximum73
Range66
Interquartile range (IQR)32

Descriptive statistics

Standard deviation17.043853
Coefficient of variation (CV)0.44301551
Kurtosis-1.0101801
Mean38.472362
Median Absolute Deviation (MAD)19
Skewness-0.26877141
Sum7656
Variance290.49292
MonotonicityNot monotonic
2023-12-10T15:35:07.411720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
58 32
16.1%
37 32
16.1%
39 17
8.5%
18 16
 
8.0%
36 12
 
6.0%
8 11
 
5.5%
56 11
 
5.5%
57 11
 
5.5%
54 8
 
4.0%
15 8
 
4.0%
Other values (16) 41
20.6%
ValueCountFrequency (%)
7 2
 
1.0%
8 11
5.5%
10 1
 
0.5%
13 1
 
0.5%
14 7
3.5%
15 8
4.0%
16 1
 
0.5%
17 1
 
0.5%
18 16
8.0%
19 2
 
1.0%
ValueCountFrequency (%)
73 3
 
1.5%
58 32
16.1%
57 11
 
5.5%
56 11
 
5.5%
54 8
 
4.0%
52 4
 
2.0%
51 3
 
1.5%
44 1
 
0.5%
41 4
 
2.0%
39 17
8.5%

4.1
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.788945
Minimum3
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:07.648541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q111.5
median63
Q394
95-th percentile98
Maximum123
Range120
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation35.490014
Coefficient of variation (CV)0.59358823
Kurtosis-1.150506
Mean59.788945
Median Absolute Deviation (MAD)34
Skewness-0.46185974
Sum11898
Variance1259.5411
MonotonicityNot monotonic
2023-12-10T15:35:07.856585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
97 32
16.1%
62 20
10.1%
65 18
9.0%
7 16
 
8.0%
4 12
 
6.0%
61 12
 
6.0%
63 12
 
6.0%
8 11
 
5.5%
98 11
 
5.5%
94 11
 
5.5%
Other values (14) 44
22.1%
ValueCountFrequency (%)
3 1
 
0.5%
4 12
6.0%
5 1
 
0.5%
6 1
 
0.5%
7 16
8.0%
8 11
5.5%
9 8
4.0%
14 4
 
2.0%
49 2
 
1.0%
56 2
 
1.0%
ValueCountFrequency (%)
123 3
 
1.5%
98 11
 
5.5%
97 32
16.1%
94 11
 
5.5%
91 8
 
4.0%
88 4
 
2.0%
86 3
 
1.5%
73 1
 
0.5%
69 4
 
2.0%
65 18
9.0%

41
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.075377
Minimum34
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:08.143133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile40
Q143
median63
Q367
95-th percentile90
Maximum146
Range112
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.70257
Coefficient of variation (CV)0.32796415
Kurtosis4.5023617
Mean60.075377
Median Absolute Deviation (MAD)18
Skewness1.5799192
Sum11955
Variance388.19126
MonotonicityNot monotonic
2023-12-10T15:35:08.400815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
67 43
21.6%
43 23
11.6%
42 21
 
10.6%
45 17
 
8.5%
65 11
 
5.5%
63 8
 
4.0%
87 6
 
3.0%
40 6
 
3.0%
88 5
 
2.5%
39 5
 
2.5%
Other values (24) 54
27.1%
ValueCountFrequency (%)
34 2
 
1.0%
35 1
 
0.5%
36 1
 
0.5%
39 5
 
2.5%
40 6
 
3.0%
41 2
 
1.0%
42 21
10.6%
43 23
11.6%
44 3
 
1.5%
45 17
8.5%
ValueCountFrequency (%)
146 2
 
1.0%
141 2
 
1.0%
93 2
 
1.0%
90 5
2.5%
88 5
2.5%
87 6
3.0%
85 1
 
0.5%
84 3
1.5%
77 1
 
0.5%
76 1
 
0.5%

14
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.351759
Minimum12
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:08.646669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile13
Q130
median32
Q347.5
95-th percentile48
Maximum61
Range49
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.877504
Coefficient of variation (CV)0.30769342
Kurtosis-0.59941476
Mean35.351759
Median Absolute Deviation (MAD)8
Skewness-0.065314949
Sum7035
Variance118.32009
MonotonicityNot monotonic
2023-12-10T15:35:08.902932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
48 45
22.6%
30 31
15.6%
31 25
12.6%
32 20
10.1%
47 11
 
5.5%
24 10
 
5.0%
13 9
 
4.5%
45 8
 
4.0%
29 7
 
3.5%
43 4
 
2.0%
Other values (13) 29
14.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 9
4.5%
14 2
 
1.0%
16 1
 
0.5%
22 1
 
0.5%
23 3
 
1.5%
24 10
5.0%
25 3
 
1.5%
26 2
 
1.0%
28 2
 
1.0%
ValueCountFrequency (%)
61 3
 
1.5%
49 2
 
1.0%
48 45
22.6%
47 11
 
5.5%
45 8
 
4.0%
43 4
 
2.0%
42 3
 
1.5%
36 1
 
0.5%
34 4
 
2.0%
32 20
10.1%

8.2
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.527638
Minimum7
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:09.107847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q117.5
median22
Q332
95-th percentile33
Maximum41
Range34
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation7.9796452
Coefficient of variation (CV)0.33916049
Kurtosis-0.80200428
Mean23.527638
Median Absolute Deviation (MAD)7
Skewness-0.11431502
Sum4682
Variance63.674737
MonotonicityNot monotonic
2023-12-10T15:35:09.378209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
21 44
22.1%
33 43
21.6%
22 20
10.1%
17 18
9.0%
8 11
 
5.5%
32 11
 
5.5%
14 11
 
5.5%
31 8
 
4.0%
23 4
 
2.0%
30 4
 
2.0%
Other values (13) 25
12.6%
ValueCountFrequency (%)
7 2
 
1.0%
8 11
5.5%
9 1
 
0.5%
12 1
 
0.5%
13 3
 
1.5%
14 11
5.5%
15 2
 
1.0%
16 1
 
0.5%
17 18
9.0%
18 2
 
1.0%
ValueCountFrequency (%)
41 3
 
1.5%
33 43
21.6%
32 11
 
5.5%
31 8
 
4.0%
30 4
 
2.0%
29 3
 
1.5%
28 2
 
1.0%
27 2
 
1.0%
25 1
 
0.5%
23 4
 
2.0%

4.2
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.236181
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:09.756914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q110.5
median30
Q345
95-th percentile46
Maximum58
Range55
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation15.493547
Coefficient of variation (CV)0.52994428
Kurtosis-1.1362887
Mean29.236181
Median Absolute Deviation (MAD)16
Skewness-0.3856878
Sum5818
Variance240.05
MonotonicityNot monotonic
2023-12-10T15:35:10.038831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
46 43
21.6%
29 32
16.1%
8 19
9.5%
31 18
9.0%
30 14
 
7.0%
4 12
 
6.0%
45 11
 
5.5%
6 10
 
5.0%
43 8
 
4.0%
7 7
 
3.5%
Other values (8) 25
12.6%
ValueCountFrequency (%)
3 2
 
1.0%
4 12
 
6.0%
6 10
 
5.0%
7 7
 
3.5%
8 19
9.5%
13 4
 
2.0%
23 2
 
1.0%
27 2
 
1.0%
29 32
16.1%
30 14
7.0%
ValueCountFrequency (%)
58 3
 
1.5%
46 43
21.6%
45 11
 
5.5%
43 8
 
4.0%
41 7
 
3.5%
35 1
 
0.5%
33 4
 
2.0%
31 18
9.0%
30 14
 
7.0%
29 32
16.1%

2.1
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.020101
Minimum2
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:10.342218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q16
median64
Q396
95-th percentile99
Maximum125
Range123
Interquartile range (IQR)90

Descriptive statistics

Standard deviation37.449489
Coefficient of variation (CV)0.62394912
Kurtosis-1.1493958
Mean60.020101
Median Absolute Deviation (MAD)35
Skewness-0.49928539
Sum11944
Variance1402.4642
MonotonicityNot monotonic
2023-12-10T15:35:11.173835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
99 43
21.6%
63 32
16.1%
5 19
9.5%
66 18
9.0%
4 16
 
8.0%
2 14
 
7.0%
64 12
 
6.0%
96 11
 
5.5%
93 8
 
4.0%
70 4
 
2.0%
Other values (10) 22
11.1%
ValueCountFrequency (%)
2 14
7.0%
3 1
 
0.5%
4 16
8.0%
5 19
9.5%
7 2
 
1.0%
8 2
 
1.0%
50 2
 
1.0%
57 2
 
1.0%
63 32
16.1%
64 12
 
6.0%
ValueCountFrequency (%)
125 3
 
1.5%
99 43
21.6%
96 11
 
5.5%
93 8
 
4.0%
89 4
 
2.0%
87 3
 
1.5%
75 1
 
0.5%
70 4
 
2.0%
67 2
 
1.0%
66 18
9.0%

99
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.030151
Minimum46
Maximum193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:11.403348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile67
Q168
median99
Q3105
95-th percentile106
Maximum193
Range147
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.861222
Coefficient of variation (CV)0.25113901
Kurtosis5.1398707
Mean91.030151
Median Absolute Deviation (MAD)6
Skewness1.3589193
Sum18115
Variance522.63545
MonotonicityNot monotonic
2023-12-10T15:35:11.752939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
105 34
17.1%
67 30
15.1%
71 17
8.5%
99 14
 
7.0%
68 14
 
7.0%
103 13
 
6.5%
102 11
 
5.5%
106 11
 
5.5%
95 7
 
3.5%
96 6
 
3.0%
Other values (18) 42
21.1%
ValueCountFrequency (%)
46 1
 
0.5%
48 1
 
0.5%
53 2
 
1.0%
61 2
 
1.0%
62 1
 
0.5%
67 30
15.1%
68 14
7.0%
70 3
 
1.5%
71 17
8.5%
75 4
 
2.0%
ValueCountFrequency (%)
193 2
 
1.0%
187 2
 
1.0%
133 3
 
1.5%
108 2
 
1.0%
106 11
 
5.5%
105 34
17.1%
104 5
 
2.5%
103 13
 
6.5%
102 11
 
5.5%
101 6
 
3.0%

118
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.522613
Minimum52
Maximum232
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:12.060048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile64
Q166.5
median99
Q3113
95-th percentile125
Maximum232
Range180
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation29.603921
Coefficient of variation (CV)0.31319406
Kurtosis6.3114314
Mean94.522613
Median Absolute Deviation (MAD)23
Skewness1.7125155
Sum18810
Variance876.39216
MonotonicityNot monotonic
2023-12-10T15:35:12.341818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
102 43
21.6%
65 22
 
11.1%
68 17
 
8.5%
64 12
 
6.0%
99 11
 
5.5%
66 10
 
5.0%
122 8
 
4.0%
96 8
 
4.0%
125 7
 
3.5%
121 6
 
3.0%
Other values (24) 55
27.6%
ValueCountFrequency (%)
52 2
 
1.0%
55 1
 
0.5%
58 1
 
0.5%
59 2
 
1.0%
64 12
6.0%
65 22
11.1%
66 10
5.0%
67 1
 
0.5%
68 17
8.5%
69 2
 
1.0%
ValueCountFrequency (%)
232 2
 
1.0%
225 2
 
1.0%
129 5
2.5%
125 7
3.5%
123 5
2.5%
122 8
4.0%
121 6
3.0%
119 2
 
1.0%
118 4
2.0%
117 1
 
0.5%

0.8
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
22
 
8
2
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 183
92.0%
22 8
 
4.0%
2 8
 
4.0%

Length

2023-12-10T15:35:12.576378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:12.753737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
22 8
 
4.0%
2 8
 
4.0%

23.3
Real number (ℝ)

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.120603
Minimum11
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:12.912691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median20
Q322
95-th percentile25
Maximum45
Range34
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.7053517
Coefficient of variation (CV)0.29838764
Kurtosis5.761593
Mean19.120603
Median Absolute Deviation (MAD)4
Skewness1.5672135
Sum3805
Variance32.551038
MonotonicityNot monotonic
2023-12-10T15:35:13.102785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
21 46
23.1%
13 34
17.1%
14 30
15.1%
20 19
9.5%
24 19
9.5%
23 13
 
6.5%
25 9
 
4.5%
19 7
 
3.5%
15 5
 
2.5%
11 4
 
2.0%
Other values (6) 13
 
6.5%
ValueCountFrequency (%)
11 4
 
2.0%
12 2
 
1.0%
13 34
17.1%
14 30
15.1%
15 5
 
2.5%
16 1
 
0.5%
19 7
 
3.5%
20 19
9.5%
21 46
23.1%
22 3
 
1.5%
ValueCountFrequency (%)
45 2
 
1.0%
44 2
 
1.0%
27 3
 
1.5%
25 9
 
4.5%
24 19
9.5%
23 13
 
6.5%
22 3
 
1.5%
21 46
23.1%
20 19
9.5%
19 7
 
3.5%

26
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.065327
Minimum8
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:13.328037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q323.5
95-th percentile27
Maximum51
Range43
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.7355766
Coefficient of variation (CV)0.45329203
Kurtosis4.5979018
Mean17.065327
Median Absolute Deviation (MAD)5
Skewness1.7721471
Sum3396
Variance59.839145
MonotonicityNot monotonic
2023-12-10T15:35:13.493806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
16 55
27.6%
11 34
17.1%
10 30
15.1%
27 24
12.1%
15 12
 
6.0%
25 9
 
4.5%
26 7
 
3.5%
12 6
 
3.0%
28 4
 
2.0%
21 3
 
1.5%
Other values (8) 15
 
7.5%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 30
15.1%
11 34
17.1%
12 6
 
3.0%
13 1
 
0.5%
14 3
 
1.5%
15 12
 
6.0%
16 55
27.6%
21 3
 
1.5%
ValueCountFrequency (%)
51 2
 
1.0%
49 2
 
1.0%
28 4
 
2.0%
27 24
12.1%
26 7
 
3.5%
25 9
 
4.5%
24 2
 
1.0%
23 1
 
0.5%
21 3
 
1.5%
16 55
27.6%

24.2
Real number (ℝ)

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.035176
Minimum8
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:13.671217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median15
Q322
95-th percentile26
Maximum48
Range40
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.1931343
Coefficient of variation (CV)0.44858468
Kurtosis4.900722
Mean16.035176
Median Absolute Deviation (MAD)5
Skewness1.8357445
Sum3191
Variance51.741181
MonotonicityNot monotonic
2023-12-10T15:35:13.864327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10 64
32.2%
15 55
27.6%
25 19
 
9.5%
14 15
 
7.5%
24 13
 
6.5%
26 7
 
3.5%
11 5
 
2.5%
19 3
 
1.5%
22 3
 
1.5%
23 3
 
1.5%
Other values (6) 12
 
6.0%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 64
32.2%
11 5
 
2.5%
12 2
 
1.0%
14 15
 
7.5%
15 55
27.6%
19 3
 
1.5%
22 3
 
1.5%
23 3
 
1.5%
ValueCountFrequency (%)
48 2
 
1.0%
46 2
 
1.0%
27 2
 
1.0%
26 7
 
3.5%
25 19
 
9.5%
24 13
 
6.5%
23 3
 
1.5%
22 3
 
1.5%
19 3
 
1.5%
15 55
27.6%

15.4
Real number (ℝ)

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.301508
Minimum7
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:14.065259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q113
median16
Q319.5
95-th percentile20
Maximum30
Range23
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation3.7267187
Coefficient of variation (CV)0.2286119
Kurtosis1.6558979
Mean16.301508
Median Absolute Deviation (MAD)3
Skewness0.89512689
Sum3244
Variance13.888432
MonotonicityNot monotonic
2023-12-10T15:35:14.249064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
13 64
32.2%
20 43
21.6%
16 26
13.1%
19 19
 
9.5%
15 17
 
8.5%
14 7
 
3.5%
18 7
 
3.5%
25 3
 
1.5%
10 3
 
1.5%
17 2
 
1.0%
Other values (5) 8
 
4.0%
ValueCountFrequency (%)
7 1
 
0.5%
8 1
 
0.5%
10 3
 
1.5%
12 2
 
1.0%
13 64
32.2%
14 7
 
3.5%
15 17
 
8.5%
16 26
13.1%
17 2
 
1.0%
18 7
 
3.5%
ValueCountFrequency (%)
30 2
 
1.0%
29 2
 
1.0%
25 3
 
1.5%
20 43
21.6%
19 19
9.5%
18 7
 
3.5%
17 2
 
1.0%
16 26
13.1%
15 17
 
8.5%
14 7
 
3.5%

10.3
Real number (ℝ)

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.929648
Minimum5
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:14.428108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q114
median22
Q333
95-th percentile34
Maximum42
Range37
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.4497649
Coefficient of variation (CV)0.41211992
Kurtosis-1.1677945
Mean22.929648
Median Absolute Deviation (MAD)11
Skewness-0.13582804
Sum4563
Variance89.298056
MonotonicityNot monotonic
2023-12-10T15:35:14.617316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
34 43
21.6%
10 39
19.6%
21 30
15.1%
22 17
 
8.5%
23 17
 
8.5%
33 11
 
5.5%
32 8
 
4.0%
30 7
 
3.5%
19 6
 
3.0%
9 6
 
3.0%
Other values (7) 15
 
7.5%
ValueCountFrequency (%)
5 2
 
1.0%
6 1
 
0.5%
9 6
 
3.0%
10 39
19.6%
11 2
 
1.0%
17 2
 
1.0%
19 6
 
3.0%
21 30
15.1%
22 17
8.5%
23 17
8.5%
ValueCountFrequency (%)
42 3
 
1.5%
34 43
21.6%
33 11
 
5.5%
32 8
 
4.0%
30 7
 
3.5%
25 1
 
0.5%
24 4
 
2.0%
23 17
 
8.5%
22 17
 
8.5%
21 30
15.1%

40
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.150754
Minimum12
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:14.829457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115
median23
Q335.5
95-th percentile42
Maximum78
Range66
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.240329
Coefficient of variation (CV)0.4866784
Kurtosis4.2381525
Mean25.150754
Median Absolute Deviation (MAD)8
Skewness1.7583558
Sum5005
Variance149.82564
MonotonicityNot monotonic
2023-12-10T15:35:15.027571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
15 62
31.2%
23 54
27.1%
41 19
 
9.5%
22 8
 
4.0%
42 7
 
3.5%
39 7
 
3.5%
40 6
 
3.0%
16 6
 
3.0%
21 4
 
2.0%
29 3
 
1.5%
Other values (13) 23
 
11.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
15 62
31.2%
16 6
 
3.0%
17 1
 
0.5%
19 2
 
1.0%
20 3
 
1.5%
21 4
 
2.0%
22 8
 
4.0%
23 54
27.1%
ValueCountFrequency (%)
78 2
 
1.0%
75 2
 
1.0%
43 2
 
1.0%
42 7
 
3.5%
41 19
9.5%
40 6
 
3.0%
39 7
 
3.5%
38 3
 
1.5%
37 1
 
0.5%
36 1
 
0.5%

31
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.869347
Minimum8
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:15.250108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q327.5
95-th percentile33
Maximum60
Range52
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.8879079
Coefficient of variation (CV)0.52401962
Kurtosis3.7594006
Mean18.869347
Median Absolute Deviation (MAD)5
Skewness1.7131368
Sum3755
Variance97.770722
MonotonicityNot monotonic
2023-12-10T15:35:15.384834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11 52
26.1%
17 43
21.6%
32 19
 
9.5%
16 19
 
9.5%
10 14
 
7.0%
30 9
 
4.5%
15 8
 
4.0%
31 7
 
3.5%
33 7
 
3.5%
12 4
 
2.0%
Other values (10) 17
 
8.5%
ValueCountFrequency (%)
8 2
 
1.0%
10 14
 
7.0%
11 52
26.1%
12 4
 
2.0%
13 1
 
0.5%
14 1
 
0.5%
15 8
 
4.0%
16 19
 
9.5%
17 43
21.6%
19 1
 
0.5%
ValueCountFrequency (%)
60 2
 
1.0%
59 2
 
1.0%
34 2
 
1.0%
33 7
 
3.5%
32 19
9.5%
31 7
 
3.5%
30 9
4.5%
28 2
 
1.0%
27 1
 
0.5%
21 3
 
1.5%

23.4
Real number (ℝ)

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.361809
Minimum6
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:15.557332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q18
median11
Q321
95-th percentile25
Maximum46
Range40
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.8560116
Coefficient of variation (CV)0.58794521
Kurtosis3.3905052
Mean13.361809
Median Absolute Deviation (MAD)4
Skewness1.7161708
Sum2659
Variance61.716918
MonotonicityNot monotonic
2023-12-10T15:35:15.725580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
11 64
32.2%
7 47
23.6%
8 23
 
11.6%
24 21
 
10.6%
23 11
 
5.5%
25 7
 
3.5%
10 7
 
3.5%
22 4
 
2.0%
14 3
 
1.5%
26 2
 
1.0%
Other values (6) 10
 
5.0%
ValueCountFrequency (%)
6 2
 
1.0%
7 47
23.6%
8 23
 
11.6%
9 1
 
0.5%
10 7
 
3.5%
11 64
32.2%
14 3
 
1.5%
15 1
 
0.5%
21 2
 
1.0%
22 4
 
2.0%
ValueCountFrequency (%)
46 2
 
1.0%
44 2
 
1.0%
26 2
 
1.0%
25 7
 
3.5%
24 21
10.6%
23 11
5.5%
22 4
 
2.0%
21 2
 
1.0%
15 1
 
0.5%
14 3
 
1.5%

14.1
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.557789
Minimum7
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:15.928844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q110
median14
Q316
95-th percentile16
Maximum28
Range21
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.33567
Coefficient of variation (CV)0.24603348
Kurtosis4.2864254
Mean13.557789
Median Absolute Deviation (MAD)2
Skewness1.2192448
Sum2698
Variance11.126694
MonotonicityNot monotonic
2023-12-10T15:35:16.094823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
16 45
22.6%
10 45
22.6%
15 45
22.6%
14 23
11.6%
11 23
11.6%
20 3
 
1.5%
13 3
 
1.5%
9 3
 
1.5%
28 2
 
1.0%
8 2
 
1.0%
Other values (3) 5
 
2.5%
ValueCountFrequency (%)
7 2
 
1.0%
8 2
 
1.0%
9 3
 
1.5%
10 45
22.6%
11 23
11.6%
12 1
 
0.5%
13 3
 
1.5%
14 23
11.6%
15 45
22.6%
16 45
22.6%
ValueCountFrequency (%)
28 2
 
1.0%
27 2
 
1.0%
20 3
 
1.5%
16 45
22.6%
15 45
22.6%
14 23
11.6%
13 3
 
1.5%
12 1
 
0.5%
11 23
11.6%
10 45
22.6%

10.4
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.20603
Minimum5
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:16.233354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q114
median22
Q333
95-th percentile34
Maximum43
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.3955053
Coefficient of variation (CV)0.40487344
Kurtosis-1.1002941
Mean23.20603
Median Absolute Deviation (MAD)11
Skewness-0.16977408
Sum4618
Variance88.275519
MonotonicityNot monotonic
2023-12-10T15:35:16.407070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
22 44
22.1%
34 43
21.6%
10 35
17.6%
23 20
10.1%
33 11
 
5.5%
11 9
 
4.5%
32 8
 
4.0%
20 4
 
2.0%
24 4
 
2.0%
31 4
 
2.0%
Other values (8) 17
 
8.5%
ValueCountFrequency (%)
5 2
 
1.0%
6 1
 
0.5%
9 3
 
1.5%
10 35
17.6%
11 9
 
4.5%
17 2
 
1.0%
19 2
 
1.0%
20 4
 
2.0%
22 44
22.1%
23 20
10.1%
ValueCountFrequency (%)
43 3
 
1.5%
34 43
21.6%
33 11
 
5.5%
32 8
 
4.0%
31 4
 
2.0%
30 3
 
1.5%
26 1
 
0.5%
24 4
 
2.0%
23 20
10.1%
22 44
22.1%

0.9
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
25 
32
 
8
2
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row32
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 25
 
12.6%
32 8
 
4.0%
2 8
 
4.0%

Length

2023-12-10T15:35:16.620129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:16.784089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 25
 
12.6%
32 8
 
4.0%
2 8
 
4.0%

257
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.48744
Minimum74
Maximum577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:16.969997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile93
Q197.5
median142
Q3247
95-th percentile334
Maximum577
Range503
Interquartile range (IQR)149.5

Descriptive statistics

Standard deviation98.660005
Coefficient of variation (CV)0.57531914
Kurtosis3.4606769
Mean171.48744
Median Absolute Deviation (MAD)45
Skewness1.7469141
Sum34126
Variance9733.7966
MonotonicityNot monotonic
2023-12-10T15:35:17.168391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
146 32
16.1%
93 21
 
10.6%
98 16
 
8.0%
95 12
 
6.0%
94 11
 
5.5%
147 11
 
5.5%
142 11
 
5.5%
137 8
 
4.0%
251 6
 
3.0%
323 6
 
3.0%
Other values (32) 65
32.7%
ValueCountFrequency (%)
74 2
 
1.0%
85 2
 
1.0%
93 21
10.6%
94 11
5.5%
95 12
6.0%
97 2
 
1.0%
98 16
8.0%
99 2
 
1.0%
105 4
 
2.0%
111 1
 
0.5%
ValueCountFrequency (%)
577 2
 
1.0%
559 2
 
1.0%
346 2
 
1.0%
335 2
 
1.0%
334 3
1.5%
328 1
 
0.5%
326 4
2.0%
323 6
3.0%
318 1
 
0.5%
310 2
 
1.0%

359
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201.91457
Minimum72
Maximum805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:17.371659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile89
Q194
median141
Q3344
95-th percentile466
Maximum805
Range733
Interquartile range (IQR)250

Descriptive statistics

Standard deviation156.17773
Coefficient of variation (CV)0.77348418
Kurtosis2.4032956
Mean201.91457
Median Absolute Deviation (MAD)50
Skewness1.646965
Sum40181
Variance24391.483
MonotonicityNot monotonic
2023-12-10T15:35:17.571611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
142 21
 
10.6%
90 20
 
10.1%
95 17
 
8.5%
89 12
 
6.0%
91 12
 
6.0%
141 11
 
5.5%
143 11
 
5.5%
138 11
 
5.5%
133 8
 
4.0%
451 6
 
3.0%
Other values (32) 70
35.2%
ValueCountFrequency (%)
72 2
 
1.0%
82 2
 
1.0%
89 12
6.0%
90 20
10.1%
91 12
6.0%
94 3
 
1.5%
95 17
8.5%
101 4
 
2.0%
107 1
 
0.5%
125 3
 
1.5%
ValueCountFrequency (%)
805 2
 
1.0%
779 2
 
1.0%
482 2
 
1.0%
468 2
 
1.0%
466 3
1.5%
458 1
 
0.5%
455 4
2.0%
451 6
3.0%
443 1
 
0.5%
432 2
 
1.0%

63
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.125628
Minimum15
Maximum142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:17.775735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18
Q119
median29
Q361
95-th percentile82
Maximum142
Range127
Interquartile range (IQR)42

Descriptive statistics

Standard deviation26.307415
Coefficient of variation (CV)0.6900192
Kurtosis2.7922109
Mean38.125628
Median Absolute Deviation (MAD)10
Skewness1.6942035
Sum7587
Variance692.0801
MonotonicityNot monotonic
2023-12-10T15:35:17.983150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
29 43
21.6%
19 35
17.6%
20 17
 
8.5%
18 12
 
6.0%
28 11
 
5.5%
80 10
 
5.0%
27 8
 
4.0%
26 7
 
3.5%
62 6
 
3.0%
74 4
 
2.0%
Other values (25) 46
23.1%
ValueCountFrequency (%)
15 2
 
1.0%
17 2
 
1.0%
18 12
 
6.0%
19 35
17.6%
20 17
8.5%
21 4
 
2.0%
22 1
 
0.5%
26 7
 
3.5%
27 8
 
4.0%
28 11
 
5.5%
ValueCountFrequency (%)
142 2
 
1.0%
138 2
 
1.0%
85 2
 
1.0%
83 2
 
1.0%
82 3
 
1.5%
81 1
 
0.5%
80 10
5.0%
78 1
 
0.5%
76 2
 
1.0%
75 4
 
2.0%

60.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.145729
Minimum12
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:18.186184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q115
median23
Q357
95-th percentile78
Maximum134
Range122
Interquartile range (IQR)42

Descriptive statistics

Standard deviation26.280804
Coefficient of variation (CV)0.79288661
Kurtosis2.3367225
Mean33.145729
Median Absolute Deviation (MAD)8
Skewness1.6392618
Sum6596
Variance690.68068
MonotonicityNot monotonic
2023-12-10T15:35:18.414411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
15 43
21.6%
23 43
21.6%
14 21
10.6%
21 12
 
6.0%
22 11
 
5.5%
75 6
 
3.0%
58 6
 
3.0%
78 5
 
2.5%
76 5
 
2.5%
16 4
 
2.0%
Other values (22) 43
21.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
14 21
10.6%
15 43
21.6%
16 4
 
2.0%
17 1
 
0.5%
20 3
 
1.5%
21 12
 
6.0%
22 11
 
5.5%
23 43
21.6%
ValueCountFrequency (%)
134 2
 
1.0%
130 2
 
1.0%
80 2
 
1.0%
78 5
2.5%
76 5
2.5%
75 6
3.0%
74 1
 
0.5%
72 2
 
1.0%
71 4
2.0%
70 4
2.0%

63.1
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.221106
Minimum11
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:18.722949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median21
Q360
95-th percentile82
Maximum141
Range130
Interquartile range (IQR)46

Descriptive statistics

Standard deviation28.463362
Coefficient of variation (CV)0.85678552
Kurtosis2.1023005
Mean33.221106
Median Absolute Deviation (MAD)7
Skewness1.6137241
Sum6611
Variance810.16299
MonotonicityNot monotonic
2023-12-10T15:35:18.916199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
21 54
27.1%
14 52
26.1%
13 12
 
6.0%
74 8
 
4.0%
20 8
 
4.0%
19 7
 
3.5%
79 6
 
3.0%
61 6
 
3.0%
80 5
 
2.5%
82 5
 
2.5%
Other values (20) 36
18.1%
ValueCountFrequency (%)
11 2
 
1.0%
12 2
 
1.0%
13 12
 
6.0%
14 52
26.1%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
20 8
 
4.0%
21 54
27.1%
27 3
 
1.5%
ValueCountFrequency (%)
141 2
 
1.0%
136 2
 
1.0%
84 2
 
1.0%
82 5
2.5%
80 5
2.5%
79 6
3.0%
78 1
 
0.5%
76 2
 
1.0%
74 8
4.0%
72 3
 
1.5%

43
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.78392
Minimum14
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:19.119652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18
Q118
median27
Q341
95-th percentile56
Maximum97
Range83
Interquartile range (IQR)23

Descriptive statistics

Standard deviation15.593917
Coefficient of variation (CV)0.50656047
Kurtosis4.1299692
Mean30.78392
Median Absolute Deviation (MAD)9
Skewness1.8034421
Sum6126
Variance243.17025
MonotonicityNot monotonic
2023-12-10T15:35:19.320814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
18 47
23.6%
28 43
21.6%
19 17
 
8.5%
27 11
 
5.5%
26 8
 
4.0%
25 7
 
3.5%
54 6
 
3.0%
42 6
 
3.0%
55 5
 
2.5%
56 5
 
2.5%
Other values (20) 44
22.1%
ValueCountFrequency (%)
14 2
 
1.0%
16 2
 
1.0%
18 47
23.6%
19 17
 
8.5%
20 4
 
2.0%
21 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
25 7
 
3.5%
26 8
 
4.0%
ValueCountFrequency (%)
97 2
 
1.0%
94 2
 
1.0%
58 2
 
1.0%
56 5
2.5%
55 5
2.5%
54 6
3.0%
53 1
 
0.5%
52 2
 
1.0%
51 4
2.0%
50 4
2.0%

28.1
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.105528
Minimum15
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:19.537885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile27.9
Q130
median34
Q346
95-th percentile47
Maximum64
Range49
Interquartile range (IQR)16

Descriptive statistics

Standard deviation8.9788708
Coefficient of variation (CV)0.24198203
Kurtosis0.064492988
Mean37.105528
Median Absolute Deviation (MAD)5
Skewness0.59507246
Sum7384
Variance80.620121
MonotonicityNot monotonic
2023-12-10T15:35:19.784748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
47 43
21.6%
30 34
17.1%
31 22
11.1%
29 12
 
6.0%
45 11
 
5.5%
36 11
 
5.5%
33 10
 
5.0%
28 8
 
4.0%
44 8
 
4.0%
27 5
 
2.5%
Other values (13) 35
17.6%
ValueCountFrequency (%)
15 2
 
1.0%
20 1
 
0.5%
24 2
 
1.0%
27 5
 
2.5%
28 8
 
4.0%
29 12
 
6.0%
30 34
17.1%
31 22
11.1%
32 3
 
1.5%
33 10
 
5.0%
ValueCountFrequency (%)
64 2
 
1.0%
62 2
 
1.0%
59 3
 
1.5%
47 43
21.6%
45 11
 
5.5%
44 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
38 2
 
1.0%
37 5
 
2.5%

119
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.105528
Minimum16
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:20.003583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q121
median32
Q3114
95-th percentile155
Maximum268
Range252
Interquartile range (IQR)93

Descriptive statistics

Standard deviation56.795166
Coefficient of variation (CV)0.97744858
Kurtosis1.7981295
Mean58.105528
Median Absolute Deviation (MAD)11
Skewness1.5726319
Sum11563
Variance3225.6908
MonotonicityNot monotonic
2023-12-10T15:35:20.265612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
32 43
21.6%
20 32
16.1%
21 30
15.1%
31 11
 
5.5%
30 8
 
4.0%
150 6
 
3.0%
152 5
 
2.5%
141 4
 
2.0%
23 4
 
2.0%
29 4
 
2.0%
Other values (27) 52
26.1%
ValueCountFrequency (%)
16 2
 
1.0%
19 2
 
1.0%
20 32
16.1%
21 30
15.1%
22 2
 
1.0%
23 4
 
2.0%
24 1
 
0.5%
28 3
 
1.5%
29 4
 
2.0%
30 8
 
4.0%
ValueCountFrequency (%)
268 2
 
1.0%
259 2
 
1.0%
160 2
 
1.0%
156 2
 
1.0%
155 3
1.5%
152 5
2.5%
150 6
3.0%
147 1
 
0.5%
144 2
 
1.0%
141 4
2.0%

89
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.949749
Minimum12
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:20.523952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115
median23
Q386
95-th percentile116
Maximum200
Range188
Interquartile range (IQR)71

Descriptive statistics

Standard deviation42.68995
Coefficient of variation (CV)0.99395109
Kurtosis1.7675529
Mean42.949749
Median Absolute Deviation (MAD)8
Skewness1.5699736
Sum8547
Variance1822.4318
MonotonicityNot monotonic
2023-12-10T15:35:20.774881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
15 62
31.2%
23 43
21.6%
22 19
 
9.5%
16 6
 
3.0%
105 6
 
3.0%
87 6
 
3.0%
112 6
 
3.0%
116 5
 
2.5%
21 4
 
2.0%
113 4
 
2.0%
Other values (22) 38
19.1%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
15 62
31.2%
16 6
 
3.0%
17 1
 
0.5%
20 3
 
1.5%
21 4
 
2.0%
22 19
 
9.5%
23 43
21.6%
29 3
 
1.5%
ValueCountFrequency (%)
200 2
 
1.0%
194 2
 
1.0%
120 2
 
1.0%
116 5
2.5%
114 1
 
0.5%
113 4
2.0%
112 6
3.0%
110 1
 
0.5%
107 2
 
1.0%
106 2
 
1.0%

75.1
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.025126
Minimum8
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:21.037909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median16
Q372
95-th percentile98
Maximum168
Range160
Interquartile range (IQR)62

Descriptive statistics

Standard deviation37.072062
Coefficient of variation (CV)1.0895496
Kurtosis1.5589081
Mean34.025126
Median Absolute Deviation (MAD)6
Skewness1.5387711
Sum6771
Variance1374.3377
MonotonicityNot monotonic
2023-12-10T15:35:21.277739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10 47
23.6%
16 43
21.6%
11 21
10.6%
15 19
9.5%
14 7
 
3.5%
94 6
 
3.0%
73 6
 
3.0%
98 5
 
2.5%
95 4
 
2.0%
89 4
 
2.0%
Other values (21) 37
18.6%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 47
23.6%
11 21
10.6%
12 1
 
0.5%
14 7
 
3.5%
15 19
9.5%
16 43
21.6%
20 3
 
1.5%
39 1
 
0.5%
ValueCountFrequency (%)
168 2
 
1.0%
163 2
 
1.0%
101 2
 
1.0%
98 5
2.5%
96 1
 
0.5%
95 4
2.0%
94 6
3.0%
93 1
 
0.5%
90 2
 
1.0%
89 4
2.0%

233543
Real number (ℝ)

Distinct11
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221719.54
Minimum177944
Maximum233545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:21.505727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum177944
5-th percentile177944
Q1228160
median233543
Q3233545
95-th percentile233545
Maximum233545
Range55601
Interquartile range (IQR)5385

Descriptive statistics

Standard deviation22394.568
Coefficient of variation (CV)0.10100404
Kurtosis0.12894845
Mean221719.54
Median Absolute Deviation (MAD)2
Skewness-1.4524963
Sum44122188
Variance5.0151669 × 108
MonotonicityNot monotonic
2023-12-10T15:35:22.179811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
233545 81
40.7%
177944 41
20.6%
233543 30
 
15.1%
233501 10
 
5.0%
228160 8
 
4.0%
233282 7
 
3.5%
233532 6
 
3.0%
228146 5
 
2.5%
233537 5
 
2.5%
233306 3
 
1.5%
ValueCountFrequency (%)
177944 41
20.6%
228146 5
 
2.5%
228160 8
 
4.0%
233282 7
 
3.5%
233306 3
 
1.5%
233420 3
 
1.5%
233501 10
 
5.0%
233532 6
 
3.0%
233537 5
 
2.5%
233543 30
15.1%
ValueCountFrequency (%)
233545 81
40.7%
233543 30
 
15.1%
233537 5
 
2.5%
233532 6
 
3.0%
233501 10
 
5.0%
233420 3
 
1.5%
233306 3
 
1.5%
233282 7
 
3.5%
228160 8
 
4.0%
228146 5
 
2.5%

0.10
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
2
 
14
32
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row32
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 177
88.9%
2 14
 
7.0%
32 8
 
4.0%

Length

2023-12-10T15:35:22.442462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:22.607836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
2 14
 
7.0%
32 8
 
4.0%

44
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.467337
Minimum11
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:22.813730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q342
95-th percentile57
Maximum98
Range87
Interquartile range (IQR)27

Descriptive statistics

Standard deviation17.610766
Coefficient of variation (CV)0.64115303
Kurtosis2.9984771
Mean27.467337
Median Absolute Deviation (MAD)8
Skewness1.7059931
Sum5466
Variance310.13908
MonotonicityNot monotonic
2023-12-10T15:35:23.096159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
14 44
22.1%
22 43
21.6%
15 20
10.1%
21 19
9.5%
55 10
 
5.0%
43 6
 
3.0%
57 5
 
2.5%
16 4
 
2.0%
20 4
 
2.0%
52 4
 
2.0%
Other values (21) 40
20.1%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
10.1%
16 4
 
2.0%
17 1
 
0.5%
19 3
 
1.5%
20 4
 
2.0%
21 19
9.5%
22 43
21.6%
ValueCountFrequency (%)
98 2
 
1.0%
95 2
 
1.0%
59 2
 
1.0%
57 5
2.5%
56 1
 
0.5%
55 10
5.0%
54 1
 
0.5%
53 2
 
1.0%
52 4
 
2.0%
51 4
 
2.0%

31.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.653266
Minimum16
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:23.340430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile30
Q131
median37
Q346.5
95-th percentile48
Maximum70
Range54
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.1345375
Coefficient of variation (CV)0.23631994
Kurtosis0.96837754
Mean38.653266
Median Absolute Deviation (MAD)7
Skewness0.7180565
Sum7692
Variance83.439775
MonotonicityNot monotonic
2023-12-10T15:35:23.532838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
30 35
17.6%
48 32
16.1%
31 20
10.1%
32 20
10.1%
47 11
 
5.5%
46 11
 
5.5%
45 8
 
4.0%
37 8
 
4.0%
39 7
 
3.5%
34 6
 
3.0%
Other values (16) 41
20.6%
ValueCountFrequency (%)
16 1
 
0.5%
17 1
 
0.5%
22 1
 
0.5%
24 2
 
1.0%
28 2
 
1.0%
30 35
17.6%
31 20
10.1%
32 20
10.1%
33 1
 
0.5%
34 6
 
3.0%
ValueCountFrequency (%)
70 2
 
1.0%
68 2
 
1.0%
60 3
 
1.5%
48 32
16.1%
47 11
 
5.5%
46 11
 
5.5%
45 8
 
4.0%
43 4
 
2.0%
42 5
 
2.5%
41 5
 
2.5%

55
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.92462
Minimum27
Maximum590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:23.765323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27
5-th percentile50.9
Q1164
median301
Q3454
95-th percentile469
Maximum590
Range563
Interquartile range (IQR)290

Descriptive statistics

Standard deviation155.3307
Coefficient of variation (CV)0.51963166
Kurtosis-1.0414556
Mean298.92462
Median Absolute Deviation (MAD)153
Skewness-0.41629606
Sum59486
Variance24127.626
MonotonicityNot monotonic
2023-12-10T15:35:23.967378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
313 15
 
7.5%
295 12
 
6.0%
454 11
 
5.5%
469 11
 
5.5%
465 11
 
5.5%
466 11
 
5.5%
298 11
 
5.5%
301 10
 
5.0%
467 10
 
5.0%
296 9
 
4.5%
Other values (32) 88
44.2%
ValueCountFrequency (%)
27 1
 
0.5%
28 2
 
1.0%
49 1
 
0.5%
50 6
3.0%
51 5
2.5%
52 5
2.5%
53 3
 
1.5%
54 9
4.5%
55 2
 
1.0%
56 1
 
0.5%
ValueCountFrequency (%)
590 3
 
1.5%
469 11
5.5%
467 10
5.0%
466 11
5.5%
465 11
5.5%
454 11
5.5%
438 8
4.0%
421 4
 
2.0%
413 3
 
1.5%
353 1
 
0.5%

89.1
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.53266
Minimum43
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:24.200894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile81.9
Q1201
median299
Q3439
95-th percentile453
Maximum570
Range527
Interquartile range (IQR)238

Descriptive statistics

Standard deviation135.14208
Coefficient of variation (CV)0.44670244
Kurtosis-0.94267995
Mean302.53266
Median Absolute Deviation (MAD)131
Skewness-0.3678896
Sum60204
Variance18263.382
MonotonicityNot monotonic
2023-12-10T15:35:24.453898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
451 21
 
10.6%
285 12
 
6.0%
302 11
 
5.5%
450 11
 
5.5%
453 11
 
5.5%
439 11
 
5.5%
292 10
 
5.0%
286 9
 
4.5%
288 9
 
4.5%
423 8
 
4.0%
Other values (33) 86
43.2%
ValueCountFrequency (%)
43 1
 
0.5%
44 2
 
1.0%
80 1
 
0.5%
81 6
3.0%
82 5
2.5%
83 3
1.5%
84 2
 
1.0%
86 5
2.5%
87 7
3.5%
89 2
 
1.0%
ValueCountFrequency (%)
570 3
 
1.5%
453 11
5.5%
451 21
10.6%
450 11
5.5%
439 11
5.5%
423 8
 
4.0%
407 4
 
2.0%
399 3
 
1.5%
368 2
 
1.0%
357 2
 
1.0%

12.3
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.879397
Minimum6
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:24.803880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q135
median60
Q390
95-th percentile93
Maximum117
Range111
Interquartile range (IQR)55

Descriptive statistics

Standard deviation30.401614
Coefficient of variation (CV)0.50771409
Kurtosis-1.026834
Mean59.879397
Median Absolute Deviation (MAD)30
Skewness-0.40872197
Sum11916
Variance924.25811
MonotonicityNot monotonic
2023-12-10T15:35:25.076984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
93 43
21.6%
59 32
16.1%
11 17
 
8.5%
62 17
 
8.5%
12 15
 
7.5%
60 12
 
6.0%
90 11
 
5.5%
23 10
 
5.0%
87 8
 
4.0%
84 4
 
2.0%
Other values (14) 30
15.1%
ValueCountFrequency (%)
6 3
 
1.5%
11 17
8.5%
12 15
7.5%
16 1
 
0.5%
20 1
 
0.5%
22 3
 
1.5%
23 10
5.0%
47 2
 
1.0%
48 2
 
1.0%
50 2
 
1.0%
ValueCountFrequency (%)
117 3
 
1.5%
93 43
21.6%
90 11
 
5.5%
87 8
 
4.0%
84 4
 
2.0%
82 3
 
1.5%
70 1
 
0.5%
66 4
 
2.0%
63 2
 
1.0%
62 17
 
8.5%

14.2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.633166
Minimum7
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:25.286805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q132
median48
Q371
95-th percentile73
Maximum92
Range85
Interquartile range (IQR)39

Descriptive statistics

Standard deviation21.788958
Coefficient of variation (CV)0.44802673
Kurtosis-0.93934926
Mean48.633166
Median Absolute Deviation (MAD)21
Skewness-0.370003
Sum9678
Variance474.75869
MonotonicityNot monotonic
2023-12-10T15:35:25.477558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
46 32
16.1%
72 22
11.1%
73 21
10.6%
13 17
8.5%
49 17
8.5%
14 15
7.5%
47 12
 
6.0%
71 11
 
5.5%
27 10
 
5.0%
68 8
 
4.0%
Other values (14) 34
17.1%
ValueCountFrequency (%)
7 3
 
1.5%
13 17
8.5%
14 15
7.5%
18 1
 
0.5%
24 1
 
0.5%
26 3
 
1.5%
27 10
 
5.0%
37 2
 
1.0%
42 2
 
1.0%
46 32
16.1%
ValueCountFrequency (%)
92 3
 
1.5%
73 21
10.6%
72 22
11.1%
71 11
5.5%
68 8
 
4.0%
65 4
 
2.0%
64 3
 
1.5%
59 2
 
1.0%
57 2
 
1.0%
55 1
 
0.5%

13.1
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.376884
Minimum6
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:25.647877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q129.5
median45
Q366
95-th percentile68
Maximum86
Range80
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation20.506064
Coefficient of variation (CV)0.4519055
Kurtosis-0.94584352
Mean45.376884
Median Absolute Deviation (MAD)20
Skewness-0.36307689
Sum9030
Variance420.49865
MonotonicityNot monotonic
2023-12-10T15:35:25.835667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
68 43
21.6%
43 32
16.1%
12 20
10.1%
45 14
 
7.0%
13 12
 
6.0%
44 12
 
6.0%
66 11
 
5.5%
25 10
 
5.0%
64 8
 
4.0%
46 6
 
3.0%
Other values (13) 31
15.6%
ValueCountFrequency (%)
6 3
 
1.5%
12 20
10.1%
13 12
 
6.0%
17 1
 
0.5%
22 1
 
0.5%
24 3
 
1.5%
25 10
 
5.0%
34 2
 
1.0%
39 2
 
1.0%
43 32
16.1%
ValueCountFrequency (%)
86 3
 
1.5%
68 43
21.6%
66 11
 
5.5%
64 8
 
4.0%
61 4
 
2.0%
60 3
 
1.5%
54 2
 
1.0%
52 2
 
1.0%
51 1
 
0.5%
48 4
 
2.0%

9.1
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.035176
Minimum4
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:26.055639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q127
median57
Q386
95-th percentile89
Maximum112
Range108
Interquartile range (IQR)59

Descriptive statistics

Standard deviation30.056408
Coefficient of variation (CV)0.53638464
Kurtosis-1.065173
Mean56.035176
Median Absolute Deviation (MAD)29
Skewness-0.42455137
Sum11151
Variance903.38765
MonotonicityNot monotonic
2023-12-10T15:35:26.293347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
56 32
16.1%
88 32
16.1%
9 20
10.1%
59 17
8.5%
57 12
 
6.0%
8 12
 
6.0%
89 11
 
5.5%
86 11
 
5.5%
17 11
 
5.5%
83 8
 
4.0%
Other values (16) 33
16.6%
ValueCountFrequency (%)
4 1
 
0.5%
5 2
 
1.0%
8 12
6.0%
9 20
10.1%
12 1
 
0.5%
15 1
 
0.5%
17 11
5.5%
18 2
 
1.0%
36 2
 
1.0%
38 2
 
1.0%
ValueCountFrequency (%)
112 3
 
1.5%
89 11
 
5.5%
88 32
16.1%
86 11
 
5.5%
83 8
 
4.0%
80 4
 
2.0%
78 3
 
1.5%
67 1
 
0.5%
63 4
 
2.0%
60 2
 
1.0%

7.2
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.306533
Minimum3
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:26.505786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.9
Q121
median96
Q3145
95-th percentile149
Maximum188
Range185
Interquartile range (IQR)124

Descriptive statistics

Standard deviation54.878116
Coefficient of variation (CV)0.60103165
Kurtosis-1.1354493
Mean91.306533
Median Absolute Deviation (MAD)52
Skewness-0.47947336
Sum18170
Variance3011.6076
MonotonicityNot monotonic
2023-12-10T15:35:26.712252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
149 32
16.1%
7 25
12.6%
94 21
10.6%
100 17
8.5%
96 12
 
6.0%
95 11
 
5.5%
148 11
 
5.5%
145 11
 
5.5%
13 9
 
4.5%
140 8
 
4.0%
Other values (17) 42
21.1%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
6 7
 
3.5%
7 25
12.6%
9 1
 
0.5%
12 1
 
0.5%
13 9
 
4.5%
14 4
 
2.0%
28 2
 
1.0%
29 2
 
1.0%
ValueCountFrequency (%)
188 3
 
1.5%
149 32
16.1%
148 11
 
5.5%
145 11
 
5.5%
140 8
 
4.0%
134 4
 
2.0%
132 3
 
1.5%
112 1
 
0.5%
106 4
 
2.0%
100 17
8.5%

24.3
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.125628
Minimum12
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:26.911473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile22
Q149.5
median68
Q399
95-th percentile103
Maximum129
Range117
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.200963
Coefficient of variation (CV)0.41640929
Kurtosis-0.92041486
Mean70.125628
Median Absolute Deviation (MAD)28
Skewness-0.33233224
Sum13955
Variance852.69626
MonotonicityNot monotonic
2023-12-10T15:35:27.100285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
102 32
16.1%
65 32
16.1%
69 17
 
8.5%
66 12
 
6.0%
22 12
 
6.0%
24 11
 
5.5%
99 11
 
5.5%
103 11
 
5.5%
23 8
 
4.0%
96 8
 
4.0%
Other values (17) 45
22.6%
ValueCountFrequency (%)
12 3
 
1.5%
22 12
6.0%
23 8
4.0%
24 11
5.5%
25 1
 
0.5%
32 1
 
0.5%
40 1
 
0.5%
45 3
 
1.5%
46 8
4.0%
47 2
 
1.0%
ValueCountFrequency (%)
129 3
 
1.5%
103 11
 
5.5%
102 32
16.1%
100 2
 
1.0%
99 11
 
5.5%
97 2
 
1.0%
96 8
 
4.0%
92 4
 
2.0%
90 3
 
1.5%
77 1
 
0.5%

0.11
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
19 
2
 
9
40
 
8
3
 
5

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row0
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 19
 
9.5%
2 9
 
4.5%
40 8
 
4.0%
3 5
 
2.5%

Length

2023-12-10T15:35:27.295170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:27.483760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 19
 
9.5%
2 9
 
4.5%
40 8
 
4.0%
3 5
 
2.5%

20
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.236181
Minimum10
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:27.660391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18
Q138.5
median49
Q372
95-th percentile74
Maximum93
Range83
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation20.280097
Coefficient of variation (CV)0.39581593
Kurtosis-0.88418694
Mean51.236181
Median Absolute Deviation (MAD)20
Skewness-0.25539036
Sum10196
Variance411.28232
MonotonicityNot monotonic
2023-12-10T15:35:27.827287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
47 32
16.1%
73 32
16.1%
49 18
9.0%
46 12
 
6.0%
18 12
 
6.0%
71 11
 
5.5%
19 11
 
5.5%
74 11
 
5.5%
20 9
 
4.5%
38 8
 
4.0%
Other values (15) 43
21.6%
ValueCountFrequency (%)
10 3
 
1.5%
18 12
6.0%
19 11
5.5%
20 9
4.5%
26 1
 
0.5%
33 1
 
0.5%
37 5
2.5%
38 8
4.0%
39 2
 
1.0%
43 2
 
1.0%
ValueCountFrequency (%)
93 3
 
1.5%
83 2
 
1.0%
80 2
 
1.0%
74 11
 
5.5%
73 32
16.1%
71 11
 
5.5%
69 8
 
4.0%
66 4
 
2.0%
65 3
 
1.5%
56 1
 
0.5%

19.1
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.246231
Minimum9
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:27.993373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile18
Q132
median34
Q349.5
95-th percentile50
Maximum80
Range71
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.124681
Coefficient of variation (CV)0.35237608
Kurtosis0.51446464
Mean37.246231
Median Absolute Deviation (MAD)13
Skewness0.36328951
Sum7412
Variance172.25725
MonotonicityNot monotonic
2023-12-10T15:35:28.184304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
32 45
22.6%
50 43
21.6%
34 17
 
8.5%
18 16
 
8.0%
19 14
 
7.0%
49 11
 
5.5%
37 8
 
4.0%
47 8
 
4.0%
36 7
 
3.5%
45 4
 
2.0%
Other values (12) 26
13.1%
ValueCountFrequency (%)
9 1
 
0.5%
10 2
 
1.0%
17 1
 
0.5%
18 16
 
8.0%
19 14
 
7.0%
20 1
 
0.5%
25 3
 
1.5%
29 2
 
1.0%
32 45
22.6%
33 3
 
1.5%
ValueCountFrequency (%)
80 2
 
1.0%
77 2
 
1.0%
63 3
 
1.5%
50 43
21.6%
49 11
 
5.5%
47 8
 
4.0%
45 4
 
2.0%
44 3
 
1.5%
38 3
 
1.5%
37 8
 
4.0%

15.5
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.41206
Minimum7
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:28.397154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q132.5
median47
Q368
95-th percentile70
Maximum89
Range82
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.537993
Coefficient of variation (CV)0.43318077
Kurtosis-0.92525368
Mean47.41206
Median Absolute Deviation (MAD)19
Skewness-0.34604107
Sum9435
Variance421.80915
MonotonicityNot monotonic
2023-12-10T15:35:28.563395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
70 43
21.6%
45 23
11.6%
44 21
10.6%
14 19
9.5%
47 19
9.5%
15 12
 
6.0%
68 11
 
5.5%
66 8
 
4.0%
28 7
 
3.5%
29 6
 
3.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
7 3
 
1.5%
13 1
 
0.5%
14 19
9.5%
15 12
6.0%
20 1
 
0.5%
25 1
 
0.5%
28 7
 
3.5%
29 6
 
3.0%
36 2
 
1.0%
41 2
 
1.0%
ValueCountFrequency (%)
89 3
 
1.5%
70 43
21.6%
68 11
 
5.5%
66 8
 
4.0%
63 4
 
2.0%
62 5
 
2.5%
60 2
 
1.0%
53 1
 
0.5%
50 4
 
2.0%
47 19
9.5%

10.5
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.21608
Minimum5
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:28.757885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9.9
Q131
median98
Q3147
95-th percentile152
Maximum191
Range186
Interquartile range (IQR)116

Descriptive statistics

Standard deviation54.145507
Coefficient of variation (CV)0.57469496
Kurtosis-1.1114122
Mean94.21608
Median Absolute Deviation (MAD)53
Skewness-0.46463025
Sum18749
Variance2931.7359
MonotonicityNot monotonic
2023-12-10T15:35:28.980471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
10 24
12.1%
151 22
11.1%
152 21
10.6%
96 21
10.6%
102 17
8.5%
98 12
 
6.0%
97 11
 
5.5%
147 11
 
5.5%
20 10
 
5.0%
142 8
 
4.0%
Other values (17) 42
21.1%
ValueCountFrequency (%)
5 3
 
1.5%
9 7
 
3.5%
10 24
12.1%
11 1
 
0.5%
14 1
 
0.5%
17 1
 
0.5%
19 3
 
1.5%
20 10
5.0%
42 2
 
1.0%
43 2
 
1.0%
ValueCountFrequency (%)
191 3
 
1.5%
152 21
10.6%
151 22
11.1%
147 11
5.5%
142 8
 
4.0%
137 4
 
2.0%
134 3
 
1.5%
115 1
 
0.5%
108 4
 
2.0%
102 17
8.5%

278
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.35176
Minimum0
Maximum331
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:29.219260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.9
Q1166
median176
Q3261
95-th percentile271
Maximum331
Range331
Interquartile range (IQR)95

Descriptive statistics

Standard deviation75.240805
Coefficient of variation (CV)0.39946961
Kurtosis-0.25474385
Mean188.35176
Median Absolute Deviation (MAD)70
Skewness-0.64871927
Sum37482
Variance5661.1787
MonotonicityNot monotonic
2023-12-10T15:35:29.493471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
166 21
 
10.6%
262 21
 
10.6%
176 15
 
7.5%
169 12
 
6.0%
263 11
 
5.5%
261 11
 
5.5%
255 11
 
5.5%
167 9
 
4.5%
246 8
 
4.0%
41 7
 
3.5%
Other values (30) 73
36.7%
ValueCountFrequency (%)
0 3
1.5%
41 7
3.5%
42 5
2.5%
43 5
2.5%
44 2
 
1.0%
46 1
 
0.5%
48 1
 
0.5%
62 1
 
0.5%
119 1
 
0.5%
120 2
 
1.0%
ValueCountFrequency (%)
331 3
 
1.5%
278 2
 
1.0%
272 3
 
1.5%
271 3
 
1.5%
267 3
 
1.5%
263 11
5.5%
262 21
10.6%
261 11
5.5%
255 11
5.5%
246 8
 
4.0%

429
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.85427
Minimum0
Maximum429
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:29.870137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64
Q1161.5
median185
Q3253.5
95-th percentile411
Maximum429
Range429
Interquartile range (IQR)92

Descriptive statistics

Standard deviation83.424458
Coefficient of variation (CV)0.41534819
Kurtosis1.0537273
Mean200.85427
Median Absolute Deviation (MAD)53
Skewness0.41584294
Sum39970
Variance6959.6403
MonotonicityNot monotonic
2023-12-10T15:35:30.087856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
254 21
 
10.6%
170 15
 
7.5%
160 12
 
6.0%
253 11
 
5.5%
255 11
 
5.5%
162 11
 
5.5%
64 11
 
5.5%
247 11
 
5.5%
164 10
 
5.0%
161 9
 
4.5%
Other values (30) 77
38.7%
ValueCountFrequency (%)
0 3
 
1.5%
63 1
 
0.5%
64 11
5.5%
66 5
2.5%
68 2
 
1.0%
71 1
 
0.5%
74 1
 
0.5%
95 1
 
0.5%
129 2
 
1.0%
147 2
 
1.0%
ValueCountFrequency (%)
429 2
 
1.0%
418 6
 
3.0%
411 3
 
1.5%
321 3
 
1.5%
295 2
 
1.0%
285 2
 
1.0%
255 11
5.5%
254 21
10.6%
253 11
5.5%
247 11
5.5%

74
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.623116
Minimum0
Maximum74
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:30.271365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q133
median35
Q352
95-th percentile71
Maximum74
Range74
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.689335
Coefficient of variation (CV)0.39596418
Kurtosis0.099623608
Mean39.623116
Median Absolute Deviation (MAD)14
Skewness-0.21152602
Sum7885
Variance246.15522
MonotonicityNot monotonic
2023-12-10T15:35:30.488613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
52 43
21.6%
33 40
20.1%
35 20
10.1%
11 17
 
8.5%
34 15
 
7.5%
51 13
 
6.5%
49 10
 
5.0%
72 6
 
3.0%
37 4
 
2.0%
47 4
 
2.0%
Other values (12) 27
13.6%
ValueCountFrequency (%)
0 3
 
1.5%
11 17
8.5%
12 3
 
1.5%
13 1
 
0.5%
16 1
 
0.5%
27 2
 
1.0%
30 2
 
1.0%
32 3
 
1.5%
33 40
20.1%
34 15
 
7.5%
ValueCountFrequency (%)
74 2
 
1.0%
72 6
 
3.0%
71 3
 
1.5%
66 3
 
1.5%
52 43
21.6%
51 13
 
6.5%
49 10
 
5.0%
47 4
 
2.0%
46 3
 
1.5%
39 1
 
0.5%

70
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.396985
Minimum0
Maximum70
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:30.681695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q126
median30
Q341
95-th percentile67
Maximum70
Range70
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.579106
Coefficient of variation (CV)0.41914721
Kurtosis1.1089519
Mean32.396985
Median Absolute Deviation (MAD)8
Skewness0.45416003
Sum6447
Variance184.39211
MonotonicityNot monotonic
2023-12-10T15:35:30.875009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
26 44
22.1%
41 43
21.6%
27 20
10.1%
10 12
 
6.0%
40 11
 
5.5%
31 9
 
4.5%
38 8
 
4.0%
11 7
 
3.5%
68 6
 
3.0%
29 4
 
2.0%
Other values (14) 35
17.6%
ValueCountFrequency (%)
0 3
 
1.5%
10 12
 
6.0%
11 7
 
3.5%
12 2
 
1.0%
16 1
 
0.5%
21 2
 
1.0%
24 2
 
1.0%
26 44
22.1%
27 20
10.1%
29 4
 
2.0%
ValueCountFrequency (%)
70 2
 
1.0%
68 6
 
3.0%
67 3
 
1.5%
51 3
 
1.5%
48 2
 
1.0%
47 2
 
1.0%
41 43
21.6%
40 11
 
5.5%
38 8
 
4.0%
37 4
 
2.0%

65
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.221106
Minimum0
Maximum65
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:31.061112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q124
median28
Q338
95-th percentile62
Maximum65
Range65
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.521551
Coefficient of variation (CV)0.41433135
Kurtosis1.1290023
Mean30.221106
Median Absolute Deviation (MAD)8
Skewness0.44153
Sum6014
Variance156.78925
MonotonicityNot monotonic
2023-12-10T15:35:31.274148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
38 43
21.6%
24 32
16.1%
10 18
9.0%
26 17
 
8.5%
25 15
 
7.5%
29 11
 
5.5%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%
63 6
 
3.0%
Other values (14) 31
15.6%
ValueCountFrequency (%)
0 3
 
1.5%
9 1
 
0.5%
10 18
9.0%
11 2
 
1.0%
14 1
 
0.5%
19 2
 
1.0%
22 2
 
1.0%
24 32
16.1%
25 15
7.5%
26 17
8.5%
ValueCountFrequency (%)
65 2
 
1.0%
63 6
 
3.0%
62 3
 
1.5%
48 3
 
1.5%
45 2
 
1.0%
43 2
 
1.0%
38 43
21.6%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%

46
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.869347
Minimum0
Maximum63
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:31.492501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q131
median33
Q348
95-th percentile50
Maximum63
Range63
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.410049
Coefficient of variation (CV)0.41325836
Kurtosis-0.30873361
Mean34.869347
Median Absolute Deviation (MAD)13
Skewness-0.64038278
Sum6939
Variance207.64951
MonotonicityNot monotonic
2023-12-10T15:35:31.719868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
50 32
16.1%
32 25
12.6%
31 23
11.6%
33 20
10.1%
7 19
9.5%
20 11
 
5.5%
49 11
 
5.5%
48 11
 
5.5%
45 10
 
5.0%
47 8
 
4.0%
Other values (11) 29
14.6%
ValueCountFrequency (%)
0 3
 
1.5%
7 19
9.5%
8 2
 
1.0%
10 1
 
0.5%
20 11
5.5%
21 3
 
1.5%
25 2
 
1.0%
29 2
 
1.0%
31 23
11.6%
32 25
12.6%
ValueCountFrequency (%)
63 3
 
1.5%
50 32
16.1%
49 11
 
5.5%
48 11
 
5.5%
47 8
 
4.0%
46 2
 
1.0%
45 10
 
5.0%
44 6
 
3.0%
38 1
 
0.5%
35 4
 
2.0%

0.12
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
2
28 
43
 
8
3
 
5

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row43
2nd row0
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
0 158
79.4%
2 28
 
14.1%
43 8
 
4.0%
3 5
 
2.5%

Length

2023-12-10T15:35:31.984166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:32.211106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
2 28
 
14.1%
43 8
 
4.0%
3 5
 
2.5%

23.5
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.462312
Minimum0
Maximum106
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:32.411916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q123
median54
Q381
95-th percentile84
Maximum106
Range106
Interquartile range (IQR)58

Descriptive statistics

Standard deviation29.335181
Coefficient of variation (CV)0.55916677
Kurtosis-1.0209229
Mean52.462312
Median Absolute Deviation (MAD)29
Skewness-0.46606127
Sum10440
Variance860.55287
MonotonicityNot monotonic
2023-12-10T15:35:33.102391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
53 32
16.1%
84 32
16.1%
56 19
9.5%
54 12
 
6.0%
3 12
 
6.0%
10 11
 
5.5%
83 11
 
5.5%
81 11
 
5.5%
4 9
 
4.5%
23 8
 
4.0%
Other values (14) 42
21.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 12
6.0%
4 9
4.5%
5 1
 
0.5%
10 11
5.5%
11 3
 
1.5%
16 4
 
2.0%
22 3
 
1.5%
23 8
4.0%
42 2
 
1.0%
ValueCountFrequency (%)
106 3
 
1.5%
84 32
16.1%
83 11
 
5.5%
81 11
 
5.5%
78 8
 
4.0%
76 4
 
2.0%
74 3
 
1.5%
63 1
 
0.5%
60 4
 
2.0%
56 19
9.5%

165
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.366834
Minimum0
Maximum165
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:33.354651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25
Q137
median51
Q357
95-th percentile158
Maximum165
Range165
Interquartile range (IQR)20

Descriptive statistics

Standard deviation31.2394
Coefficient of variation (CV)0.58537105
Kurtosis5.5288162
Mean53.366834
Median Absolute Deviation (MAD)14
Skewness2.2426352
Sum10620
Variance975.90011
MonotonicityNot monotonic
2023-12-10T15:35:33.634245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
57 32
16.1%
37 24
12.1%
36 21
10.6%
39 17
 
8.5%
25 14
 
7.0%
56 11
 
5.5%
58 11
 
5.5%
73 9
 
4.5%
54 8
 
4.0%
161 6
 
3.0%
Other values (19) 46
23.1%
ValueCountFrequency (%)
0 3
 
1.5%
24 1
 
0.5%
25 14
7.0%
26 4
 
2.0%
27 1
 
0.5%
29 3
 
1.5%
33 2
 
1.0%
36 21
10.6%
37 24
12.1%
38 3
 
1.5%
ValueCountFrequency (%)
165 2
 
1.0%
161 6
3.0%
158 3
 
1.5%
114 2
 
1.0%
110 2
 
1.0%
77 1
 
0.5%
75 2
 
1.0%
74 2
 
1.0%
73 9
4.5%
71 3
 
1.5%

99.1
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.984925
Minimum0
Maximum99
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:33.892418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q126
median36
Q341
95-th percentile95
Maximum99
Range99
Interquartile range (IQR)15

Descriptive statistics

Standard deviation18.323545
Coefficient of variation (CV)0.50920059
Kurtosis4.3165019
Mean35.984925
Median Absolute Deviation (MAD)8
Skewness1.795424
Sum7161
Variance335.7523
MonotonicityNot monotonic
2023-12-10T15:35:34.238176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
41 43
21.6%
26 32
16.1%
28 17
 
8.5%
15 16
 
8.0%
27 15
 
7.5%
40 11
 
5.5%
44 8
 
4.0%
39 8
 
4.0%
96 6
 
3.0%
29 4
 
2.0%
Other values (19) 39
19.6%
ValueCountFrequency (%)
0 3
 
1.5%
14 1
 
0.5%
15 16
8.0%
16 3
 
1.5%
17 1
 
0.5%
21 2
 
1.0%
22 1
 
0.5%
24 2
 
1.0%
26 32
16.1%
27 15
7.5%
ValueCountFrequency (%)
99 2
 
1.0%
96 6
3.0%
95 3
 
1.5%
68 2
 
1.0%
66 2
 
1.0%
52 3
 
1.5%
46 1
 
0.5%
45 2
 
1.0%
44 8
4.0%
43 2
 
1.0%

77
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.628141
Minimum0
Maximum77
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:34.435075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.9
Q118
median25
Q328
95-th percentile74
Maximum77
Range77
Interquartile range (IQR)10

Descriptive statistics

Standard deviation14.466695
Coefficient of variation (CV)0.56448477
Kurtosis5.3211977
Mean25.628141
Median Absolute Deviation (MAD)7
Skewness2.1577448
Sum5100
Variance209.28526
MonotonicityNot monotonic
2023-12-10T15:35:34.632366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
18 44
22.1%
28 43
21.6%
19 20
10.1%
12 12
 
6.0%
27 11
 
5.5%
26 8
 
4.0%
34 8
 
4.0%
25 7
 
3.5%
11 7
 
3.5%
75 6
 
3.0%
Other values (14) 33
16.6%
ValueCountFrequency (%)
0 3
 
1.5%
11 7
 
3.5%
12 12
 
6.0%
13 2
 
1.0%
14 2
 
1.0%
16 2
 
1.0%
17 1
 
0.5%
18 44
22.1%
19 20
10.1%
20 4
 
2.0%
ValueCountFrequency (%)
77 2
 
1.0%
75 6
 
3.0%
74 3
 
1.5%
53 2
 
1.0%
51 2
 
1.0%
36 4
 
2.0%
35 2
 
1.0%
34 8
 
4.0%
33 3
 
1.5%
28 43
21.6%

61
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.40201
Minimum0
Maximum61
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:34.882131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q125
median27
Q339
95-th percentile58
Maximum61
Range61
Interquartile range (IQR)14

Descriptive statistics

Standard deviation12.284884
Coefficient of variation (CV)0.40408131
Kurtosis0.44804239
Mean30.40201
Median Absolute Deviation (MAD)10
Skewness0.068944112
Sum6050
Variance150.91838
MonotonicityNot monotonic
2023-12-10T15:35:35.113047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
25 44
22.1%
39 32
16.1%
26 21
10.6%
9 17
 
8.5%
40 13
 
6.5%
38 11
 
5.5%
27 10
 
5.0%
37 8
 
4.0%
28 7
 
3.5%
59 6
 
3.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
0 3
 
1.5%
9 17
 
8.5%
10 3
 
1.5%
11 1
 
0.5%
13 1
 
0.5%
20 2
 
1.0%
23 2
 
1.0%
25 44
22.1%
26 21
10.6%
27 10
 
5.0%
ValueCountFrequency (%)
61 2
 
1.0%
59 6
 
3.0%
58 3
 
1.5%
50 3
 
1.5%
42 2
 
1.0%
40 13
6.5%
39 32
16.1%
38 11
 
5.5%
37 8
 
4.0%
36 4
 
2.0%

27.2
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.839196
Minimum0
Maximum108
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:35.348932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q126
median55
Q383
95-th percentile86
Maximum108
Range108
Interquartile range (IQR)57

Descriptive statistics

Standard deviation29.428809
Coefficient of variation (CV)0.54660566
Kurtosis-0.98643789
Mean53.839196
Median Absolute Deviation (MAD)28
Skewness-0.46184026
Sum10714
Variance866.05482
MonotonicityNot monotonic
2023-12-10T15:35:35.552955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
54 32
16.1%
85 32
16.1%
4 20
10.1%
57 19
9.5%
12 14
7.0%
55 12
 
6.0%
86 11
 
5.5%
83 11
 
5.5%
26 9
 
4.5%
80 8
 
4.0%
Other values (13) 31
15.6%
ValueCountFrequency (%)
0 3
 
1.5%
4 20
10.1%
5 1
 
0.5%
6 1
 
0.5%
12 14
7.0%
18 4
 
2.0%
26 9
4.5%
27 2
 
1.0%
43 2
 
1.0%
49 2
 
1.0%
ValueCountFrequency (%)
108 3
 
1.5%
86 11
 
5.5%
85 32
16.1%
83 11
 
5.5%
80 8
 
4.0%
77 4
 
2.0%
75 3
 
1.5%
64 1
 
0.5%
61 4
 
2.0%
57 19
9.5%

59.1
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean210.53266
Minimum51
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:35.746905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile58
Q1147
median197
Q3296
95-th percentile306
Maximum385
Range334
Interquartile range (IQR)149

Descriptive statistics

Standard deviation80.949652
Coefficient of variation (CV)0.38449925
Kurtosis-0.85414427
Mean210.53266
Median Absolute Deviation (MAD)78
Skewness-0.19165636
Sum41896
Variance6552.8461
MonotonicityNot monotonic
2023-12-10T15:35:35.969769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
193 21
 
10.6%
304 21
 
10.6%
204 15
 
7.5%
303 11
 
5.5%
296 11
 
5.5%
195 11
 
5.5%
306 11
 
5.5%
197 10
 
5.0%
286 8
 
4.0%
58 6
 
3.0%
Other values (29) 74
37.2%
ValueCountFrequency (%)
51 1
 
0.5%
53 1
 
0.5%
57 3
1.5%
58 6
3.0%
59 2
 
1.0%
68 1
 
0.5%
79 1
 
0.5%
97 3
1.5%
100 6
3.0%
101 3
1.5%
ValueCountFrequency (%)
385 3
 
1.5%
306 11
5.5%
304 21
10.6%
303 11
5.5%
296 11
5.5%
286 8
 
4.0%
275 4
 
2.0%
269 3
 
1.5%
230 1
 
0.5%
217 4
 
2.0%

68.1
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean208.98492
Minimum58
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:36.166632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58
5-th percentile66
Q1157
median196
Q3287
95-th percentile296
Maximum372
Range314
Interquartile range (IQR)130

Descriptive statistics

Standard deviation73.173826
Coefficient of variation (CV)0.35013926
Kurtosis-0.74219913
Mean208.98492
Median Absolute Deviation (MAD)70
Skewness-0.14822213
Sum41588
Variance5354.4089
MonotonicityNot monotonic
2023-12-10T15:35:36.357531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
295 21
 
10.6%
198 13
 
6.5%
186 12
 
6.0%
190 12
 
6.0%
296 11
 
5.5%
287 11
 
5.5%
188 11
 
5.5%
294 11
 
5.5%
187 9
 
4.5%
276 8
 
4.0%
Other values (34) 80
40.2%
ValueCountFrequency (%)
58 1
 
0.5%
61 1
 
0.5%
65 3
1.5%
66 6
3.0%
68 2
 
1.0%
78 1
 
0.5%
90 1
 
0.5%
111 3
1.5%
114 4
2.0%
115 4
2.0%
ValueCountFrequency (%)
372 3
 
1.5%
296 11
5.5%
295 21
10.6%
294 11
5.5%
287 11
5.5%
276 8
 
4.0%
266 4
 
2.0%
261 3
 
1.5%
232 2
 
1.0%
225 2
 
1.0%

24.4
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.065327
Minimum21
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:36.557048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile24
Q139
median43
Q359.5
95-th percentile61
Maximum82
Range61
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation12.784964
Coefficient of variation (CV)0.26599141
Kurtosis-0.28355618
Mean48.065327
Median Absolute Deviation (MAD)11
Skewness0.1231598
Sum9565
Variance163.45531
MonotonicityNot monotonic
2023-12-10T15:35:36.757797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
61 32
16.1%
41 26
13.1%
39 23
11.6%
38 21
10.6%
59 11
 
5.5%
60 11
 
5.5%
57 10
 
5.0%
55 9
 
4.5%
54 8
 
4.0%
43 6
 
3.0%
Other values (16) 42
21.1%
ValueCountFrequency (%)
21 1
 
0.5%
22 1
 
0.5%
23 6
 
3.0%
24 5
 
2.5%
28 1
 
0.5%
31 2
 
1.0%
32 1
 
0.5%
35 2
 
1.0%
38 21
10.6%
39 23
11.6%
ValueCountFrequency (%)
82 2
 
1.0%
80 2
 
1.0%
77 3
 
1.5%
61 32
16.1%
60 11
 
5.5%
59 11
 
5.5%
57 10
 
5.0%
55 9
 
4.5%
54 8
 
4.0%
53 6
 
3.0%

13.2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.442211
Minimum11
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:36.971040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile12
Q129
median31
Q346
95-th percentile48
Maximum60
Range49
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.957467
Coefficient of variation (CV)0.31814064
Kurtosis-0.58520158
Mean34.442211
Median Absolute Deviation (MAD)9
Skewness-0.13256578
Sum6854
Variance120.06609
MonotonicityNot monotonic
2023-12-10T15:35:37.159930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
30 36
18.1%
47 32
16.1%
32 18
9.0%
31 12
 
6.0%
48 11
 
5.5%
46 11
 
5.5%
28 11
 
5.5%
12 9
 
4.5%
44 8
 
4.0%
22 8
 
4.0%
Other values (14) 43
21.6%
ValueCountFrequency (%)
11 2
 
1.0%
12 9
4.5%
13 2
 
1.0%
15 1
 
0.5%
17 1
 
0.5%
21 7
3.5%
22 8
4.0%
23 1
 
0.5%
24 2
 
1.0%
27 3
 
1.5%
ValueCountFrequency (%)
60 3
 
1.5%
48 11
 
5.5%
47 32
16.1%
46 11
 
5.5%
44 8
 
4.0%
43 6
 
3.0%
42 5
 
2.5%
36 1
 
0.5%
34 4
 
2.0%
32 18
9.0%

0.13
Categorical

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
19 
2
 
14
36
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 19
 
9.5%
2 14
 
7.0%
36 8
 
4.0%

Length

2023-12-10T15:35:37.360977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:37.551568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 19
 
9.5%
2 14
 
7.0%
36 8
 
4.0%

11.2
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.758794
Minimum9
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:37.734279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11
Q125
median29
Q343
95-th percentile45
Maximum56
Range47
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.688997
Coefficient of variation (CV)0.3365681
Kurtosis-0.69101479
Mean31.758794
Median Absolute Deviation (MAD)10
Skewness-0.14299903
Sum6320
Variance114.25466
MonotonicityNot monotonic
2023-12-10T15:35:37.939279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
44 32
16.1%
28 32
16.1%
30 17
8.5%
29 15
 
7.5%
18 12
 
6.0%
45 11
 
5.5%
43 11
 
5.5%
24 11
 
5.5%
42 8
 
4.0%
11 8
 
4.0%
Other values (15) 42
21.1%
ValueCountFrequency (%)
9 1
 
0.5%
10 4
 
2.0%
11 8
4.0%
12 1
 
0.5%
14 1
 
0.5%
18 12
6.0%
19 4
 
2.0%
23 3
 
1.5%
24 11
5.5%
25 7
3.5%
ValueCountFrequency (%)
56 3
 
1.5%
45 11
 
5.5%
44 32
16.1%
43 11
 
5.5%
42 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
37 2
 
1.0%
36 2
 
1.0%
33 1
 
0.5%

8.3
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.321608
Minimum7
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:38.141575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q123
median37
Q356
95-th percentile58
Maximum73
Range66
Interquartile range (IQR)33

Descriptive statistics

Standard deviation17.219237
Coefficient of variation (CV)0.44933492
Kurtosis-1.0269456
Mean38.321608
Median Absolute Deviation (MAD)19
Skewness-0.27412888
Sum7626
Variance296.50211
MonotonicityNot monotonic
2023-12-10T15:35:38.387001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
37 32
16.1%
58 32
16.1%
39 17
8.5%
18 16
 
8.0%
36 12
 
6.0%
8 11
 
5.5%
56 11
 
5.5%
57 11
 
5.5%
14 9
 
4.5%
54 8
 
4.0%
Other values (15) 40
20.1%
ValueCountFrequency (%)
7 2
 
1.0%
8 11
5.5%
9 1
 
0.5%
11 1
 
0.5%
13 7
3.5%
14 9
4.5%
17 1
 
0.5%
18 16
8.0%
19 2
 
1.0%
27 4
 
2.0%
ValueCountFrequency (%)
73 3
 
1.5%
58 32
16.1%
57 11
 
5.5%
56 11
 
5.5%
54 8
 
4.0%
52 4
 
2.0%
51 3
 
1.5%
44 1
 
0.5%
41 4
 
2.0%
39 17
8.5%

4.3
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.567839
Minimum3
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:38.700707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q110
median63
Q394
95-th percentile98
Maximum123
Range120
Interquartile range (IQR)84

Descriptive statistics

Standard deviation35.81651
Coefficient of variation (CV)0.60127261
Kurtosis-1.1493835
Mean59.567839
Median Absolute Deviation (MAD)34
Skewness-0.47117167
Sum11854
Variance1282.8224
MonotonicityNot monotonic
2023-12-10T15:35:39.023723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
97 32
16.1%
62 20
10.1%
8 19
9.5%
65 18
9.0%
6 16
8.0%
61 12
 
6.0%
63 12
 
6.0%
94 11
 
5.5%
3 11
 
5.5%
98 11
 
5.5%
Other values (12) 37
18.6%
ValueCountFrequency (%)
3 11
5.5%
4 3
 
1.5%
5 1
 
0.5%
6 16
8.0%
8 19
9.5%
12 4
 
2.0%
49 2
 
1.0%
56 2
 
1.0%
61 12
6.0%
62 20
10.1%
ValueCountFrequency (%)
123 3
 
1.5%
98 11
 
5.5%
97 32
16.1%
94 11
 
5.5%
91 8
 
4.0%
88 4
 
2.0%
86 3
 
1.5%
73 1
 
0.5%
69 4
 
2.0%
65 18
9.0%

39
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.306533
Minimum34
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:39.259176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34
5-th percentile38
Q143
median63
Q367
95-th percentile90
Maximum135
Range101
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.748778
Coefficient of variation (CV)0.31613344
Kurtosis2.9712026
Mean59.306533
Median Absolute Deviation (MAD)18
Skewness1.3173226
Sum11802
Variance351.51667
MonotonicityNot monotonic
2023-12-10T15:35:39.442926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
67 52
26.1%
43 23
11.6%
42 21
10.6%
45 17
 
8.5%
65 14
 
7.0%
38 9
 
4.5%
63 8
 
4.0%
87 6
 
3.0%
90 5
 
2.5%
88 5
 
2.5%
Other values (17) 39
19.6%
ValueCountFrequency (%)
34 3
 
1.5%
35 1
 
0.5%
38 9
 
4.5%
39 4
 
2.0%
42 21
10.6%
43 23
11.6%
44 3
 
1.5%
45 17
8.5%
46 1
 
0.5%
48 4
 
2.0%
ValueCountFrequency (%)
135 2
 
1.0%
131 2
 
1.0%
93 2
 
1.0%
90 5
2.5%
88 5
2.5%
87 6
3.0%
85 1
 
0.5%
84 3
1.5%
70 2
 
1.0%
68 2
 
1.0%

15.6
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.738693
Minimum13
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:39.670138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14
Q130
median32
Q347.5
95-th percentile48
Maximum61
Range48
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.599793
Coefficient of variation (CV)0.29659151
Kurtosis-0.57310476
Mean35.738693
Median Absolute Deviation (MAD)7
Skewness-0.069873327
Sum7112
Variance112.35562
MonotonicityNot monotonic
2023-12-10T15:35:39.908809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
48 45
22.6%
32 31
15.6%
31 23
11.6%
30 21
10.6%
25 11
 
5.5%
47 11
 
5.5%
14 9
 
4.5%
45 8
 
4.0%
33 6
 
3.0%
34 6
 
3.0%
Other values (12) 28
14.1%
ValueCountFrequency (%)
13 2
 
1.0%
14 9
4.5%
15 2
 
1.0%
17 1
 
0.5%
19 1
 
0.5%
24 5
 
2.5%
25 11
5.5%
26 2
 
1.0%
28 2
 
1.0%
30 21
10.6%
ValueCountFrequency (%)
61 3
 
1.5%
50 2
 
1.0%
48 45
22.6%
47 11
 
5.5%
45 8
 
4.0%
43 4
 
2.0%
42 3
 
1.5%
36 1
 
0.5%
34 6
 
3.0%
33 6
 
3.0%

8.4
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.477387
Minimum7
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:40.097100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q118
median22
Q332
95-th percentile33
Maximum41
Range34
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.0276191
Coefficient of variation (CV)0.34192984
Kurtosis-0.79510555
Mean23.477387
Median Absolute Deviation (MAD)8
Skewness-0.12777612
Sum4672
Variance64.442668
MonotonicityNot monotonic
2023-12-10T15:35:40.418742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21 44
22.1%
33 43
21.6%
22 20
10.1%
17 13
 
6.5%
13 12
 
6.0%
8 11
 
5.5%
32 11
 
5.5%
18 8
 
4.0%
31 8
 
4.0%
30 4
 
2.0%
Other values (11) 25
12.6%
ValueCountFrequency (%)
7 2
 
1.0%
8 11
 
5.5%
9 1
 
0.5%
10 1
 
0.5%
13 12
 
6.0%
14 4
 
2.0%
17 13
 
6.5%
18 8
 
4.0%
19 2
 
1.0%
21 44
22.1%
ValueCountFrequency (%)
41 3
 
1.5%
33 43
21.6%
32 11
 
5.5%
31 8
 
4.0%
30 4
 
2.0%
29 3
 
1.5%
27 2
 
1.0%
26 2
 
1.0%
25 1
 
0.5%
23 4
 
2.0%

4.4
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.261307
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:40.592318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q111
median30
Q345
95-th percentile46
Maximum58
Range55
Interquartile range (IQR)34

Descriptive statistics

Standard deviation15.461979
Coefficient of variation (CV)0.5284104
Kurtosis-1.1306659
Mean29.261307
Median Absolute Deviation (MAD)16
Skewness-0.38534835
Sum5823
Variance239.07279
MonotonicityNot monotonic
2023-12-10T15:35:40.754940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
46 43
21.6%
29 32
16.1%
31 18
9.0%
30 14
 
7.0%
4 12
 
6.0%
45 11
 
5.5%
8 11
 
5.5%
6 11
 
5.5%
43 8
 
4.0%
9 8
 
4.0%
Other values (10) 31
15.6%
ValueCountFrequency (%)
3 2
 
1.0%
4 12
6.0%
5 1
 
0.5%
6 11
5.5%
7 5
2.5%
8 11
5.5%
9 8
4.0%
13 4
 
2.0%
23 2
 
1.0%
27 2
 
1.0%
ValueCountFrequency (%)
58 3
 
1.5%
46 43
21.6%
45 11
 
5.5%
43 8
 
4.0%
41 7
 
3.5%
35 1
 
0.5%
33 4
 
2.0%
31 18
9.0%
30 14
 
7.0%
29 32
16.1%

2.2
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.914573
Minimum2
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:40.933485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q16
median64
Q396
95-th percentile99
Maximum125
Range123
Interquartile range (IQR)90

Descriptive statistics

Standard deviation37.607056
Coefficient of variation (CV)0.62767794
Kurtosis-1.1487486
Mean59.914573
Median Absolute Deviation (MAD)35
Skewness-0.5033606
Sum11923
Variance1414.2906
MonotonicityNot monotonic
2023-12-10T15:35:41.132205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
99 43
21.6%
63 32
16.1%
66 18
9.0%
2 14
 
7.0%
3 13
 
6.5%
5 12
 
6.0%
64 12
 
6.0%
4 11
 
5.5%
96 11
 
5.5%
93 8
 
4.0%
Other values (9) 25
12.6%
ValueCountFrequency (%)
2 14
7.0%
3 13
6.5%
4 11
 
5.5%
5 12
 
6.0%
7 4
 
2.0%
50 2
 
1.0%
57 2
 
1.0%
63 32
16.1%
64 12
 
6.0%
66 18
9.0%
ValueCountFrequency (%)
125 3
 
1.5%
99 43
21.6%
96 11
 
5.5%
93 8
 
4.0%
89 4
 
2.0%
87 3
 
1.5%
75 1
 
0.5%
70 4
 
2.0%
67 2
 
1.0%
66 18
9.0%

91.1
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.180905
Minimum46
Maximum185
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:41.328526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile67
Q168
median95
Q3105
95-th percentile107
Maximum185
Range139
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.200133
Coefficient of variation (CV)0.24617332
Kurtosis3.9840892
Mean90.180905
Median Absolute Deviation (MAD)11
Skewness1.199173
Sum17946
Variance492.8459
MonotonicityNot monotonic
2023-12-10T15:35:41.528228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
105 37
18.6%
67 30
15.1%
71 17
 
8.5%
103 17
 
8.5%
68 14
 
7.0%
106 11
 
5.5%
99 8
 
4.0%
88 6
 
3.0%
95 5
 
2.5%
107 5
 
2.5%
Other values (23) 49
24.6%
ValueCountFrequency (%)
46 1
 
0.5%
48 1
 
0.5%
53 2
 
1.0%
61 2
 
1.0%
62 1
 
0.5%
67 30
15.1%
68 14
7.0%
70 3
 
1.5%
71 17
8.5%
75 4
 
2.0%
ValueCountFrequency (%)
185 2
 
1.0%
179 2
 
1.0%
133 3
 
1.5%
111 2
 
1.0%
107 5
 
2.5%
106 11
 
5.5%
105 37
18.6%
103 17
8.5%
102 1
 
0.5%
100 2
 
1.0%

108.1
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.437186
Minimum52
Maximum221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:41.759275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile64
Q166.5
median99
Q3103
95-th percentile128
Maximum221
Range169
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation28.173432
Coefficient of variation (CV)0.30152269
Kurtosis5.4964685
Mean93.437186
Median Absolute Deviation (MAD)24
Skewness1.5840423
Sum18594
Variance793.74225
MonotonicityNot monotonic
2023-12-10T15:35:42.000372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
102 43
21.6%
65 22
 
11.1%
68 17
 
8.5%
64 12
 
6.0%
99 11
 
5.5%
66 10
 
5.0%
96 9
 
4.5%
123 6
 
3.0%
106 6
 
3.0%
128 5
 
2.5%
Other values (27) 58
29.1%
ValueCountFrequency (%)
52 2
 
1.0%
55 1
 
0.5%
58 1
 
0.5%
59 2
 
1.0%
64 12
6.0%
65 22
11.1%
66 10
5.0%
67 1
 
0.5%
68 17
8.5%
69 2
 
1.0%
ValueCountFrequency (%)
221 2
 
1.0%
214 2
 
1.0%
132 2
 
1.0%
129 3
1.5%
128 5
2.5%
126 1
 
0.5%
125 4
2.0%
123 6
3.0%
122 1
 
0.5%
120 2
 
1.0%

0.14
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
22
 
8
2
 
8
1
 
6

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 177
88.9%
22 8
 
4.0%
2 8
 
4.0%
1 6
 
3.0%

Length

2023-12-10T15:35:42.227189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:42.416641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
22 8
 
4.0%
2 8
 
4.0%
1 6
 
3.0%

24.5
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.738693
Minimum11
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:42.591326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median20
Q323
95-th percentile28
Maximum49
Range38
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.5545158
Coefficient of variation (CV)0.33206432
Kurtosis5.3842747
Mean19.738693
Median Absolute Deviation (MAD)6
Skewness1.6494212
Sum3928
Variance42.961677
MonotonicityNot monotonic
2023-12-10T15:35:42.903242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
21 44
22.1%
13 35
17.6%
14 30
15.1%
20 19
9.5%
27 12
 
6.0%
28 8
 
4.0%
26 8
 
4.0%
23 7
 
3.5%
19 7
 
3.5%
24 5
 
2.5%
Other values (9) 24
12.1%
ValueCountFrequency (%)
11 2
 
1.0%
12 3
 
1.5%
13 35
17.6%
14 30
15.1%
15 4
 
2.0%
16 2
 
1.0%
19 7
 
3.5%
20 19
9.5%
21 44
22.1%
22 2
 
1.0%
ValueCountFrequency (%)
49 2
 
1.0%
48 2
 
1.0%
29 4
 
2.0%
28 8
4.0%
27 12
6.0%
26 8
4.0%
25 3
 
1.5%
24 5
2.5%
23 7
3.5%
22 2
 
1.0%

22.1
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.145729
Minimum8
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:43.097784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q320.5
95-th percentile25
Maximum44
Range36
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation6.3336419
Coefficient of variation (CV)0.39227972
Kurtosis4.9997246
Mean16.145729
Median Absolute Deviation (MAD)5
Skewness1.7561044
Sum3213
Variance40.11502
MonotonicityNot monotonic
2023-12-10T15:35:43.340015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
16 54
27.1%
11 36
18.1%
10 30
15.1%
25 16
 
8.0%
15 13
 
6.5%
21 12
 
6.0%
23 8
 
4.0%
22 5
 
2.5%
12 5
 
2.5%
14 3
 
1.5%
Other values (8) 17
 
8.5%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 30
15.1%
11 36
18.1%
12 5
 
2.5%
14 3
 
1.5%
15 13
 
6.5%
16 54
27.1%
19 2
 
1.0%
20 2
 
1.0%
ValueCountFrequency (%)
44 2
 
1.0%
43 2
 
1.0%
26 2
 
1.0%
25 16
8.0%
24 3
 
1.5%
23 8
4.0%
22 5
 
2.5%
21 12
6.0%
20 2
 
1.0%
19 2
 
1.0%

22.2
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.798995
Minimum8
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:43.526374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median15
Q320
95-th percentile26
Maximum45
Range37
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.7964488
Coefficient of variation (CV)0.43018235
Kurtosis4.4479077
Mean15.798995
Median Absolute Deviation (MAD)5
Skewness1.7656
Sum3144
Variance46.191716
MonotonicityNot monotonic
2023-12-10T15:35:44.239653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 64
32.2%
15 55
27.6%
14 15
 
7.5%
26 10
 
5.0%
25 9
 
4.5%
22 8
 
4.0%
24 8
 
4.0%
11 5
 
2.5%
21 5
 
2.5%
23 3
 
1.5%
Other values (8) 17
 
8.5%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 64
32.2%
11 5
 
2.5%
12 2
 
1.0%
14 15
 
7.5%
15 55
27.6%
19 3
 
1.5%
20 2
 
1.0%
21 5
 
2.5%
ValueCountFrequency (%)
45 2
 
1.0%
44 2
 
1.0%
27 2
 
1.0%
26 10
5.0%
25 9
4.5%
24 8
4.0%
23 3
 
1.5%
22 8
4.0%
21 5
2.5%
20 2
 
1.0%

14.3
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.120603
Minimum7
Maximum28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:44.468135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13
Q113
median15
Q319.5
95-th percentile20
Maximum28
Range21
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation3.7085116
Coefficient of variation (CV)0.23004794
Kurtosis0.67783381
Mean16.120603
Median Absolute Deviation (MAD)2
Skewness0.7128421
Sum3208
Variance13.753058
MonotonicityNot monotonic
2023-12-10T15:35:44.674923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
13 70
35.2%
20 43
21.6%
19 19
 
9.5%
16 15
 
7.5%
14 14
 
7.0%
15 12
 
6.0%
18 7
 
3.5%
17 4
 
2.0%
28 4
 
2.0%
25 3
 
1.5%
Other values (3) 8
 
4.0%
ValueCountFrequency (%)
7 2
 
1.0%
10 3
 
1.5%
12 3
 
1.5%
13 70
35.2%
14 14
 
7.0%
15 12
 
6.0%
16 15
 
7.5%
17 4
 
2.0%
18 7
 
3.5%
19 19
 
9.5%
ValueCountFrequency (%)
28 4
 
2.0%
25 3
 
1.5%
20 43
21.6%
19 19
 
9.5%
18 7
 
3.5%
17 4
 
2.0%
16 15
 
7.5%
15 12
 
6.0%
14 14
 
7.0%
13 70
35.2%

9.2
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.758794
Minimum4
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:44.942472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.9
Q114
median22
Q333
95-th percentile34
Maximum42
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.6683442
Coefficient of variation (CV)0.42481795
Kurtosis-1.1636357
Mean22.758794
Median Absolute Deviation (MAD)11
Skewness-0.16716129
Sum4529
Variance93.476879
MonotonicityNot monotonic
2023-12-10T15:35:45.139642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
34 43
21.6%
21 30
15.1%
9 19
9.5%
10 19
9.5%
22 17
 
8.5%
23 17
 
8.5%
33 11
 
5.5%
32 8
 
4.0%
30 7
 
3.5%
8 7
 
3.5%
Other values (10) 21
10.6%
ValueCountFrequency (%)
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
8 7
 
3.5%
9 19
9.5%
10 19
9.5%
11 2
 
1.0%
17 4
 
2.0%
18 2
 
1.0%
19 2
 
1.0%
ValueCountFrequency (%)
42 3
 
1.5%
34 43
21.6%
33 11
 
5.5%
32 8
 
4.0%
30 7
 
3.5%
25 1
 
0.5%
24 4
 
2.0%
23 17
 
8.5%
22 17
 
8.5%
21 30
15.1%

36
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.547739
Minimum12
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:45.391361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115
median23
Q332
95-th percentile42
Maximum73
Range61
Interquartile range (IQR)17

Descriptive statistics

Standard deviation11.316676
Coefficient of variation (CV)0.46100686
Kurtosis4.2872717
Mean24.547739
Median Absolute Deviation (MAD)8
Skewness1.7578475
Sum4885
Variance128.06715
MonotonicityNot monotonic
2023-12-10T15:35:45.639440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
15 62
31.2%
23 54
27.1%
41 11
 
5.5%
38 8
 
4.0%
22 8
 
4.0%
16 6
 
3.0%
35 6
 
3.0%
42 5
 
2.5%
21 4
 
2.0%
37 3
 
1.5%
Other values (17) 32
16.1%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
15 62
31.2%
16 6
 
3.0%
17 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 3
 
1.5%
21 4
 
2.0%
22 8
 
4.0%
ValueCountFrequency (%)
73 2
 
1.0%
71 2
 
1.0%
43 2
 
1.0%
42 5
2.5%
41 11
5.5%
40 1
 
0.5%
39 2
 
1.0%
38 8
4.0%
37 3
 
1.5%
36 2
 
1.0%

27.3
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.311558
Minimum8
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:45.890239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q324.5
95-th percentile32
Maximum56
Range48
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation8.9810922
Coefficient of variation (CV)0.4904603
Kurtosis3.7325615
Mean18.311558
Median Absolute Deviation (MAD)5
Skewness1.6935851
Sum3644
Variance80.660017
MonotonicityNot monotonic
2023-12-10T15:35:46.160658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11 52
26.1%
17 43
21.6%
16 19
 
9.5%
10 14
 
7.0%
27 8
 
4.0%
15 8
 
4.0%
32 8
 
4.0%
31 7
 
3.5%
29 7
 
3.5%
30 6
 
3.0%
Other values (13) 27
13.6%
ValueCountFrequency (%)
8 2
 
1.0%
10 14
 
7.0%
11 52
26.1%
12 4
 
2.0%
13 1
 
0.5%
14 1
 
0.5%
15 8
 
4.0%
16 19
 
9.5%
17 43
21.6%
19 1
 
0.5%
ValueCountFrequency (%)
56 2
 
1.0%
54 2
 
1.0%
34 2
 
1.0%
33 2
 
1.0%
32 8
4.0%
31 7
3.5%
30 6
3.0%
29 7
3.5%
27 8
4.0%
26 4
2.0%

23.6
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.572864
Minimum6
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:46.381111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q18
median11
Q320.5
95-th percentile27
Maximum47
Range41
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation8.2163589
Coefficient of variation (CV)0.60535187
Kurtosis3.0880432
Mean13.572864
Median Absolute Deviation (MAD)4
Skewness1.6942943
Sum2701
Variance67.508553
MonotonicityNot monotonic
2023-12-10T15:35:46.590194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11 62
31.2%
7 47
23.6%
8 23
 
11.6%
26 11
 
5.5%
22 9
 
4.5%
10 7
 
3.5%
24 7
 
3.5%
27 6
 
3.0%
25 6
 
3.0%
14 3
 
1.5%
Other values (10) 18
 
9.0%
ValueCountFrequency (%)
6 2
 
1.0%
7 47
23.6%
8 23
 
11.6%
9 1
 
0.5%
10 7
 
3.5%
11 62
31.2%
12 2
 
1.0%
14 3
 
1.5%
16 1
 
0.5%
20 1
 
0.5%
ValueCountFrequency (%)
47 2
 
1.0%
45 2
 
1.0%
28 2
 
1.0%
27 6
3.0%
26 11
5.5%
25 6
3.0%
24 7
3.5%
23 2
 
1.0%
22 9
4.5%
21 3
 
1.5%

13.3
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.447236
Minimum7
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:46.795584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q110
median14
Q316
95-th percentile16
Maximum27
Range20
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.2638175
Coefficient of variation (CV)0.24271289
Kurtosis3.3112591
Mean13.447236
Median Absolute Deviation (MAD)2
Skewness1.0883993
Sum2676
Variance10.652505
MonotonicityNot monotonic
2023-12-10T15:35:47.009298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
16 50
25.1%
10 45
22.6%
15 33
16.6%
11 23
11.6%
14 18
 
9.0%
13 11
 
5.5%
12 5
 
2.5%
20 3
 
1.5%
9 3
 
1.5%
27 2
 
1.0%
Other values (3) 6
 
3.0%
ValueCountFrequency (%)
7 2
 
1.0%
8 2
 
1.0%
9 3
 
1.5%
10 45
22.6%
11 23
11.6%
12 5
 
2.5%
13 11
 
5.5%
14 18
 
9.0%
15 33
16.6%
16 50
25.1%
ValueCountFrequency (%)
27 2
 
1.0%
26 2
 
1.0%
20 3
 
1.5%
16 50
25.1%
15 33
16.6%
14 18
 
9.0%
13 11
 
5.5%
12 5
 
2.5%
11 23
11.6%
10 45
22.6%

9.3
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.070352
Minimum5
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:47.236554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile9
Q114
median22
Q333
95-th percentile34
Maximum43
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.5629269
Coefficient of variation (CV)0.41451153
Kurtosis-1.1057273
Mean23.070352
Median Absolute Deviation (MAD)11
Skewness-0.19019046
Sum4591
Variance91.449571
MonotonicityNot monotonic
2023-12-10T15:35:47.504289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
22 44
22.1%
34 43
21.6%
10 22
11.1%
23 20
10.1%
9 14
 
7.0%
33 11
 
5.5%
32 8
 
4.0%
11 7
 
3.5%
18 4
 
2.0%
8 4
 
2.0%
Other values (9) 22
11.1%
ValueCountFrequency (%)
5 2
 
1.0%
6 1
 
0.5%
8 4
 
2.0%
9 14
 
7.0%
10 22
11.1%
11 7
 
3.5%
17 2
 
1.0%
18 4
 
2.0%
20 2
 
1.0%
22 44
22.1%
ValueCountFrequency (%)
43 3
 
1.5%
34 43
21.6%
33 11
 
5.5%
32 8
 
4.0%
31 4
 
2.0%
30 3
 
1.5%
26 1
 
0.5%
24 4
 
2.0%
23 20
10.1%
22 44
22.1%

0.15
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
186 
17
 
8
2
 
5

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 186
93.5%
17 8
 
4.0%
2 5
 
2.5%

Length

2023-12-10T15:35:47.769639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:47.964818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
93.5%
17 8
 
4.0%
2 5
 
2.5%

241
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.9799
Minimum74
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:48.154767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile93
Q197.5
median142
Q3222
95-th percentile340
Maximum551
Range477
Interquartile range (IQR)124.5

Descriptive statistics

Standard deviation94.934106
Coefficient of variation (CV)0.56180709
Kurtosis3.2026886
Mean168.9799
Median Absolute Deviation (MAD)45
Skewness1.7304791
Sum33627
Variance9012.4844
MonotonicityNot monotonic
2023-12-10T15:35:48.377092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
146 32
16.1%
93 21
 
10.6%
98 16
 
8.0%
142 12
 
6.0%
95 12
 
6.0%
94 11
 
5.5%
147 11
 
5.5%
137 8
 
4.0%
329 6
 
3.0%
105 4
 
2.0%
Other values (32) 66
33.2%
ValueCountFrequency (%)
74 2
 
1.0%
85 2
 
1.0%
93 21
10.6%
94 11
5.5%
95 12
6.0%
97 2
 
1.0%
98 16
8.0%
99 2
 
1.0%
105 4
 
2.0%
111 1
 
0.5%
ValueCountFrequency (%)
551 2
 
1.0%
533 2
 
1.0%
352 2
 
1.0%
342 2
 
1.0%
340 3
1.5%
334 1
 
0.5%
332 4
2.0%
329 6
3.0%
324 1
 
0.5%
293 2
 
1.0%

339
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.60804
Minimum72
Maximum776
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:48.601611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile89
Q194
median141
Q3313.5
95-th percentile480
Maximum776
Range704
Interquartile range (IQR)219.5

Descriptive statistics

Standard deviation152.79169
Coefficient of variation (CV)0.76545859
Kurtosis2.2275754
Mean199.60804
Median Absolute Deviation (MAD)50
Skewness1.6401693
Sum39722
Variance23345.3
MonotonicityNot monotonic
2023-12-10T15:35:48.835597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
142 21
 
10.6%
90 20
 
10.1%
95 17
 
8.5%
91 12
 
6.0%
89 12
 
6.0%
141 11
 
5.5%
138 11
 
5.5%
143 11
 
5.5%
133 8
 
4.0%
464 6
 
3.0%
Other values (34) 70
35.2%
ValueCountFrequency (%)
72 2
 
1.0%
82 2
 
1.0%
89 12
6.0%
90 20
10.1%
91 12
6.0%
94 3
 
1.5%
95 17
8.5%
101 4
 
2.0%
107 1
 
0.5%
125 3
 
1.5%
ValueCountFrequency (%)
776 2
 
1.0%
752 2
 
1.0%
496 2
 
1.0%
481 2
 
1.0%
480 3
1.5%
471 1
 
0.5%
469 4
2.0%
464 6
3.0%
456 1
 
0.5%
412 2
 
1.0%

59.2
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.477387
Minimum15
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:49.050360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18
Q119
median29
Q355
95-th percentile84
Maximum135
Range120
Interquartile range (IQR)36

Descriptive statistics

Standard deviation25.284208
Coefficient of variation (CV)0.67465236
Kurtosis2.5589658
Mean37.477387
Median Absolute Deviation (MAD)10
Skewness1.6785916
Sum7458
Variance639.29115
MonotonicityNot monotonic
2023-12-10T15:35:49.237822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
29 43
21.6%
19 35
17.6%
20 17
 
8.5%
18 12
 
6.0%
28 11
 
5.5%
27 8
 
4.0%
26 7
 
3.5%
81 6
 
3.0%
70 6
 
3.0%
58 6
 
3.0%
Other values (22) 48
24.1%
ValueCountFrequency (%)
15 2
 
1.0%
17 2
 
1.0%
18 12
 
6.0%
19 35
17.6%
20 17
8.5%
21 4
 
2.0%
22 1
 
0.5%
26 7
 
3.5%
27 8
 
4.0%
28 11
 
5.5%
ValueCountFrequency (%)
135 2
 
1.0%
131 2
 
1.0%
86 2
 
1.0%
84 5
2.5%
82 5
2.5%
81 6
3.0%
80 1
 
0.5%
72 2
 
1.0%
71 2
 
1.0%
70 6
3.0%

56.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.467337
Minimum12
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:49.471855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q115
median23
Q351.5
95-th percentile79
Maximum127
Range115
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation25.191944
Coefficient of variation (CV)0.77591655
Kurtosis2.1510594
Mean32.467337
Median Absolute Deviation (MAD)8
Skewness1.6283446
Sum6461
Variance634.63403
MonotonicityNot monotonic
2023-12-10T15:35:49.713400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
15 43
21.6%
23 43
21.6%
14 21
10.6%
21 12
 
6.0%
22 11
 
5.5%
66 6
 
3.0%
54 6
 
3.0%
76 6
 
3.0%
77 5
 
2.5%
79 5
 
2.5%
Other values (22) 41
20.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
14 21
10.6%
15 43
21.6%
16 4
 
2.0%
17 1
 
0.5%
20 3
 
1.5%
21 12
 
6.0%
22 11
 
5.5%
23 43
21.6%
ValueCountFrequency (%)
127 2
 
1.0%
123 2
 
1.0%
81 2
 
1.0%
79 5
2.5%
77 5
2.5%
76 6
3.0%
75 1
 
0.5%
68 2
 
1.0%
67 2
 
1.0%
66 6
3.0%

60.2
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.934673
Minimum11
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:49.949453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median21
Q355
95-th percentile84
Maximum137
Range126
Interquartile range (IQR)41

Descriptive statistics

Standard deviation28.070632
Coefficient of variation (CV)0.85231243
Kurtosis1.9549448
Mean32.934673
Median Absolute Deviation (MAD)7
Skewness1.6097664
Sum6554
Variance787.96036
MonotonicityNot monotonic
2023-12-10T15:35:50.188542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21 54
27.1%
14 52
26.1%
13 12
 
6.0%
71 8
 
4.0%
20 8
 
4.0%
19 7
 
3.5%
82 6
 
3.0%
58 6
 
3.0%
83 5
 
2.5%
15 4
 
2.0%
Other values (21) 37
18.6%
ValueCountFrequency (%)
11 2
 
1.0%
12 2
 
1.0%
13 12
 
6.0%
14 52
26.1%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
20 8
 
4.0%
21 54
27.1%
27 3
 
1.5%
ValueCountFrequency (%)
137 2
 
1.0%
132 2
 
1.0%
87 2
 
1.0%
85 2
 
1.0%
84 3
 
1.5%
83 5
2.5%
82 6
3.0%
80 1
 
0.5%
73 2
 
1.0%
71 8
4.0%

40.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.301508
Minimum14
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:50.577524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18
Q118
median27
Q337
95-th percentile57
Maximum92
Range78
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.868092
Coefficient of variation (CV)0.49067168
Kurtosis3.7737201
Mean30.301508
Median Absolute Deviation (MAD)9
Skewness1.7726116
Sum6030
Variance221.06015
MonotonicityNot monotonic
2023-12-10T15:35:50.819327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
18 47
23.6%
28 43
21.6%
19 17
 
8.5%
27 11
 
5.5%
55 10
 
5.0%
26 8
 
4.0%
25 7
 
3.5%
39 6
 
3.0%
57 5
 
2.5%
20 4
 
2.0%
Other values (22) 41
20.6%
ValueCountFrequency (%)
14 2
 
1.0%
16 2
 
1.0%
18 47
23.6%
19 17
 
8.5%
20 4
 
2.0%
21 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
25 7
 
3.5%
26 8
 
4.0%
ValueCountFrequency (%)
92 2
 
1.0%
89 2
 
1.0%
59 2
 
1.0%
57 5
2.5%
56 1
 
0.5%
55 10
5.0%
54 1
 
0.5%
49 2
 
1.0%
48 4
 
2.0%
47 4
 
2.0%

26.1
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.663317
Minimum15
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:51.028005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile25
Q130
median33
Q346
95-th percentile47
Maximum60
Range45
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.0816838
Coefficient of variation (CV)0.24770492
Kurtosis-0.52008376
Mean36.663317
Median Absolute Deviation (MAD)5
Skewness0.4265378
Sum7296
Variance82.476981
MonotonicityNot monotonic
2023-12-10T15:35:51.229514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
47 43
21.6%
30 35
17.6%
31 28
14.1%
29 12
 
6.0%
36 11
 
5.5%
45 11
 
5.5%
25 9
 
4.5%
44 8
 
4.0%
37 5
 
2.5%
33 4
 
2.0%
Other values (15) 33
16.6%
ValueCountFrequency (%)
15 2
 
1.0%
20 1
 
0.5%
23 1
 
0.5%
24 2
 
1.0%
25 9
 
4.5%
26 2
 
1.0%
27 3
 
1.5%
28 2
 
1.0%
29 12
 
6.0%
30 35
17.6%
ValueCountFrequency (%)
60 2
 
1.0%
59 3
 
1.5%
58 2
 
1.0%
47 43
21.6%
45 11
 
5.5%
44 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
38 2
 
1.0%
37 5
 
2.5%

112
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.211055
Minimum16
Maximum257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:51.464803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q121
median32
Q3104
95-th percentile159
Maximum257
Range241
Interquartile range (IQR)83

Descriptive statistics

Standard deviation55.403986
Coefficient of variation (CV)0.96841399
Kurtosis1.6561668
Mean57.211055
Median Absolute Deviation (MAD)11
Skewness1.5666936
Sum11385
Variance3069.6017
MonotonicityNot monotonic
2023-12-10T15:35:51.709201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
32 43
21.6%
20 32
16.1%
21 30
15.1%
31 11
 
5.5%
30 8
 
4.0%
110 6
 
3.0%
154 6
 
3.0%
155 4
 
2.0%
29 4
 
2.0%
133 4
 
2.0%
Other values (28) 51
25.6%
ValueCountFrequency (%)
16 2
 
1.0%
19 2
 
1.0%
20 32
16.1%
21 30
15.1%
22 2
 
1.0%
23 4
 
2.0%
24 1
 
0.5%
28 3
 
1.5%
29 4
 
2.0%
30 8
 
4.0%
ValueCountFrequency (%)
257 2
 
1.0%
249 2
 
1.0%
165 2
 
1.0%
160 2
 
1.0%
159 3
1.5%
156 1
 
0.5%
155 4
2.0%
154 6
3.0%
151 1
 
0.5%
137 2
 
1.0%

85
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.502513
Minimum12
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:51.951832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115
median23
Q378
95-th percentile120
Maximum194
Range182
Interquartile range (IQR)63

Descriptive statistics

Standard deviation42.048298
Coefficient of variation (CV)0.98931322
Kurtosis1.6489663
Mean42.502513
Median Absolute Deviation (MAD)8
Skewness1.5683181
Sum8458
Variance1768.0593
MonotonicityNot monotonic
2023-12-10T15:35:52.305171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
15 62
31.2%
23 43
21.6%
22 19
 
9.5%
16 6
 
3.0%
116 6
 
3.0%
120 5
 
2.5%
101 4
 
2.0%
100 4
 
2.0%
117 4
 
2.0%
21 4
 
2.0%
Other values (24) 42
21.1%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
15 62
31.2%
16 6
 
3.0%
17 1
 
0.5%
20 3
 
1.5%
21 4
 
2.0%
22 19
 
9.5%
23 43
21.6%
29 3
 
1.5%
ValueCountFrequency (%)
194 2
 
1.0%
188 2
 
1.0%
124 2
 
1.0%
120 5
2.5%
118 1
 
0.5%
117 4
2.0%
116 6
3.0%
114 1
 
0.5%
103 2
 
1.0%
101 4
2.0%

72.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.080402
Minimum8
Maximum166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:52.666581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median16
Q367
95-th percentile103
Maximum166
Range158
Interquartile range (IQR)57

Descriptive statistics

Standard deviation37.274081
Coefficient of variation (CV)1.0937101
Kurtosis1.4512031
Mean34.080402
Median Absolute Deviation (MAD)6
Skewness1.537011
Sum6782
Variance1389.3571
MonotonicityNot monotonic
2023-12-10T15:35:52.987978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
10 47
23.6%
16 43
21.6%
11 21
10.6%
15 19
9.5%
14 7
 
3.5%
71 6
 
3.0%
86 6
 
3.0%
99 6
 
3.0%
103 5
 
2.5%
100 4
 
2.0%
Other values (22) 35
17.6%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 47
23.6%
11 21
10.6%
12 1
 
0.5%
14 7
 
3.5%
15 19
9.5%
16 43
21.6%
20 3
 
1.5%
41 1
 
0.5%
ValueCountFrequency (%)
166 2
 
1.0%
161 2
 
1.0%
106 2
 
1.0%
103 5
2.5%
101 1
 
0.5%
100 4
2.0%
99 6
3.0%
98 1
 
0.5%
88 2
 
1.0%
87 2
 
1.0%

0.16
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
186 
16
 
8
2
 
5

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 186
93.5%
16 8
 
4.0%
2 5
 
2.5%

Length

2023-12-10T15:35:53.346555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:53.546287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
93.5%
16 8
 
4.0%
2 5
 
2.5%

41.1
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.939698
Minimum11
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:53.764373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q337.5
95-th percentile57
Maximum93
Range82
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation16.795453
Coefficient of variation (CV)0.62344623
Kurtosis2.8253081
Mean26.939698
Median Absolute Deviation (MAD)8
Skewness1.6990608
Sum5361
Variance282.08725
MonotonicityNot monotonic
2023-12-10T15:35:54.094545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14 44
22.1%
22 43
21.6%
15 20
10.1%
21 19
9.5%
56 11
 
5.5%
48 6
 
3.0%
40 6
 
3.0%
16 4
 
2.0%
20 4
 
2.0%
49 4
 
2.0%
Other values (20) 38
19.1%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
10.1%
16 4
 
2.0%
17 1
 
0.5%
19 3
 
1.5%
20 4
 
2.0%
21 19
9.5%
22 43
21.6%
ValueCountFrequency (%)
93 2
 
1.0%
90 2
 
1.0%
59 2
 
1.0%
58 2
 
1.0%
57 3
 
1.5%
56 11
5.5%
55 1
 
0.5%
49 4
 
2.0%
48 6
3.0%
47 3
 
1.5%

29
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.201005
Minimum16
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:54.344647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile28
Q130
median35
Q346.5
95-th percentile48
Maximum66
Range50
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.1469374
Coefficient of variation (CV)0.23944232
Kurtosis0.041528177
Mean38.201005
Median Absolute Deviation (MAD)6
Skewness0.53212167
Sum7602
Variance83.666464
MonotonicityNot monotonic
2023-12-10T15:35:54.649161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
30 33
16.6%
48 32
16.1%
32 21
10.6%
31 13
 
6.5%
28 11
 
5.5%
46 11
 
5.5%
47 11
 
5.5%
40 11
 
5.5%
45 8
 
4.0%
34 8
 
4.0%
Other values (16) 40
20.1%
ValueCountFrequency (%)
16 1
 
0.5%
17 1
 
0.5%
22 1
 
0.5%
24 2
 
1.0%
26 1
 
0.5%
28 11
 
5.5%
29 2
 
1.0%
30 33
16.6%
31 13
 
6.5%
32 21
10.6%
ValueCountFrequency (%)
66 2
 
1.0%
64 2
 
1.0%
60 3
 
1.5%
48 32
16.1%
47 11
 
5.5%
46 11
 
5.5%
45 8
 
4.0%
43 4
 
2.0%
42 5
 
2.5%
41 5
 
2.5%

56.2
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.57286
Minimum25
Maximum590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:54.969267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile40.9
Q1152.5
median301
Q3454
95-th percentile469
Maximum590
Range565
Interquartile range (IQR)301.5

Descriptive statistics

Standard deviation157.03793
Coefficient of variation (CV)0.52772935
Kurtosis-1.0387008
Mean297.57286
Median Absolute Deviation (MAD)153
Skewness-0.42523854
Sum59217
Variance24660.913
MonotonicityNot monotonic
2023-12-10T15:35:55.331138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
313 15
 
7.5%
295 12
 
6.0%
298 11
 
5.5%
465 11
 
5.5%
466 11
 
5.5%
454 11
 
5.5%
469 11
 
5.5%
301 10
 
5.0%
467 10
 
5.0%
296 9
 
4.5%
Other values (33) 88
44.2%
ValueCountFrequency (%)
25 1
 
0.5%
26 2
 
1.0%
40 7
3.5%
41 5
2.5%
42 5
2.5%
43 2
 
1.0%
52 1
 
0.5%
54 4
2.0%
55 6
3.0%
56 2
 
1.0%
ValueCountFrequency (%)
590 3
 
1.5%
469 11
5.5%
467 10
5.0%
466 11
5.5%
465 11
5.5%
454 11
5.5%
438 8
4.0%
421 4
 
2.0%
413 3
 
1.5%
353 1
 
0.5%

88
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299.52261
Minimum39
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:56.157304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile63.9
Q1199.5
median299
Q3439
95-th percentile453
Maximum570
Range531
Interquartile range (IQR)239.5

Descriptive statistics

Standard deviation138.1947
Coefficient of variation (CV)0.46138321
Kurtosis-0.89758957
Mean299.52261
Median Absolute Deviation (MAD)133
Skewness-0.39775851
Sum59605
Variance19097.776
MonotonicityNot monotonic
2023-12-10T15:35:56.374651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
451 21
 
10.6%
285 12
 
6.0%
302 11
 
5.5%
450 11
 
5.5%
439 11
 
5.5%
453 11
 
5.5%
292 10
 
5.0%
286 9
 
4.5%
288 9
 
4.5%
423 8
 
4.0%
Other values (37) 86
43.2%
ValueCountFrequency (%)
39 1
 
0.5%
40 1
 
0.5%
41 1
 
0.5%
62 1
 
0.5%
63 6
3.0%
64 5
2.5%
66 5
2.5%
68 2
 
1.0%
81 1
 
0.5%
84 1
 
0.5%
ValueCountFrequency (%)
570 3
 
1.5%
453 11
5.5%
451 21
10.6%
450 11
5.5%
439 11
5.5%
423 8
 
4.0%
407 4
 
2.0%
399 3
 
1.5%
341 1
 
0.5%
322 4
 
2.0%

14.4
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.050251
Minimum6
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:56.597622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q136.5
median60
Q390
95-th percentile93
Maximum117
Range111
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation30.208492
Coefficient of variation (CV)0.50305356
Kurtosis-0.99003007
Mean60.050251
Median Absolute Deviation (MAD)30
Skewness-0.41375234
Sum11950
Variance912.55302
MonotonicityNot monotonic
2023-12-10T15:35:56.807332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
93 43
21.6%
59 32
16.1%
10 19
9.5%
62 17
 
8.5%
60 12
 
6.0%
90 11
 
5.5%
13 10
 
5.0%
26 8
 
4.0%
87 8
 
4.0%
25 6
 
3.0%
Other values (15) 33
16.6%
ValueCountFrequency (%)
6 3
 
1.5%
10 19
9.5%
12 1
 
0.5%
13 10
5.0%
14 2
 
1.0%
17 1
 
0.5%
25 6
 
3.0%
26 8
4.0%
47 2
 
1.0%
48 2
 
1.0%
ValueCountFrequency (%)
117 3
 
1.5%
93 43
21.6%
90 11
 
5.5%
87 8
 
4.0%
84 4
 
2.0%
82 3
 
1.5%
70 1
 
0.5%
66 4
 
2.0%
63 2
 
1.0%
62 17
 
8.5%

14.5
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.994975
Minimum6
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:57.074243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q131.5
median48
Q371
95-th percentile73
Maximum92
Range86
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation22.442631
Coefficient of variation (CV)0.46760377
Kurtosis-0.90274883
Mean47.994975
Median Absolute Deviation (MAD)22
Skewness-0.40190674
Sum9551
Variance503.67169
MonotonicityNot monotonic
2023-12-10T15:35:57.295848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
46 32
16.1%
72 22
11.1%
73 21
10.6%
10 19
9.5%
49 19
9.5%
47 12
 
6.0%
71 11
 
5.5%
13 10
 
5.0%
68 8
 
4.0%
26 8
 
4.0%
Other values (13) 37
18.6%
ValueCountFrequency (%)
6 3
 
1.5%
10 19
9.5%
12 1
 
0.5%
13 10
5.0%
14 2
 
1.0%
17 1
 
0.5%
25 6
 
3.0%
26 8
4.0%
37 2
 
1.0%
42 2
 
1.0%
ValueCountFrequency (%)
92 3
 
1.5%
73 21
10.6%
72 22
11.1%
71 11
5.5%
68 8
 
4.0%
65 4
 
2.0%
64 3
 
1.5%
55 1
 
0.5%
52 4
 
2.0%
49 19
9.5%

14.6
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.211055
Minimum6
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:57.464163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q130
median45
Q366
95-th percentile68
Maximum86
Range80
Interquartile range (IQR)36

Descriptive statistics

Standard deviation20.682684
Coefficient of variation (CV)0.45746961
Kurtosis-0.891019
Mean45.211055
Median Absolute Deviation (MAD)19
Skewness-0.38702267
Sum8997
Variance427.77341
MonotonicityNot monotonic
2023-12-10T15:35:57.761669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
68 43
21.6%
43 32
16.1%
10 17
 
8.5%
45 14
 
7.0%
44 12
 
6.0%
13 11
 
5.5%
66 11
 
5.5%
26 10
 
5.0%
64 8
 
4.0%
46 6
 
3.0%
Other values (13) 35
17.6%
ValueCountFrequency (%)
6 3
 
1.5%
10 17
8.5%
11 2
 
1.0%
13 11
5.5%
14 2
 
1.0%
17 1
 
0.5%
25 4
 
2.0%
26 10
5.0%
34 2
 
1.0%
39 2
 
1.0%
ValueCountFrequency (%)
86 3
 
1.5%
68 43
21.6%
66 11
 
5.5%
64 8
 
4.0%
61 4
 
2.0%
60 3
 
1.5%
51 1
 
0.5%
50 2
 
1.0%
48 6
 
3.0%
46 6
 
3.0%

10.6
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.899497
Minimum4
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:57.969867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q125.5
median57
Q386
95-th percentile89
Maximum112
Range108
Interquartile range (IQR)60.5

Descriptive statistics

Standard deviation30.237777
Coefficient of variation (CV)0.54093111
Kurtosis-1.0590552
Mean55.899497
Median Absolute Deviation (MAD)29
Skewness-0.43107673
Sum11124
Variance914.32318
MonotonicityNot monotonic
2023-12-10T15:35:58.218343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
56 32
16.1%
88 32
16.1%
7 19
9.5%
59 17
8.5%
57 12
 
6.0%
89 11
 
5.5%
9 11
 
5.5%
86 11
 
5.5%
18 11
 
5.5%
83 8
 
4.0%
Other values (15) 35
17.6%
ValueCountFrequency (%)
4 3
 
1.5%
7 19
9.5%
9 11
5.5%
10 2
 
1.0%
12 1
 
0.5%
17 3
 
1.5%
18 11
5.5%
33 2
 
1.0%
35 2
 
1.0%
45 2
 
1.0%
ValueCountFrequency (%)
112 3
 
1.5%
89 11
 
5.5%
88 32
16.1%
86 11
 
5.5%
83 8
 
4.0%
80 4
 
2.0%
78 3
 
1.5%
67 1
 
0.5%
63 4
 
2.0%
60 2
 
1.0%

6
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.648241
Minimum3
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:58.421875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q115.5
median96
Q3145
95-th percentile149
Maximum188
Range185
Interquartile range (IQR)129.5

Descriptive statistics

Standard deviation55.824824
Coefficient of variation (CV)0.61584012
Kurtosis-1.1411016
Mean90.648241
Median Absolute Deviation (MAD)52
Skewness-0.49335922
Sum18039
Variance3116.411
MonotonicityNot monotonic
2023-12-10T15:35:58.716575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
149 32
16.1%
94 21
10.6%
4 19
9.5%
100 17
8.5%
11 14
 
7.0%
96 12
 
6.0%
6 12
 
6.0%
95 11
 
5.5%
148 11
 
5.5%
145 11
 
5.5%
Other values (15) 39
19.6%
ValueCountFrequency (%)
3 3
 
1.5%
4 19
9.5%
5 1
 
0.5%
6 12
6.0%
7 1
 
0.5%
11 14
7.0%
20 2
 
1.0%
21 2
 
1.0%
76 2
 
1.0%
86 2
 
1.0%
ValueCountFrequency (%)
188 3
 
1.5%
149 32
16.1%
148 11
 
5.5%
145 11
 
5.5%
140 8
 
4.0%
134 4
 
2.0%
132 3
 
1.5%
112 1
 
0.5%
106 4
 
2.0%
100 17
8.5%

27.4
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.18593
Minimum12
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:58.953107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19
Q151.5
median68
Q399
95-th percentile103
Maximum129
Range117
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation29.180051
Coefficient of variation (CV)0.41575357
Kurtosis-0.81152332
Mean70.18593
Median Absolute Deviation (MAD)28
Skewness-0.38032343
Sum13967
Variance851.47536
MonotonicityNot monotonic
2023-12-10T15:35:59.172667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
102 32
16.1%
65 32
16.1%
69 17
 
8.5%
66 12
 
6.0%
19 12
 
6.0%
99 11
 
5.5%
103 11
 
5.5%
96 10
 
5.0%
26 9
 
4.5%
50 8
 
4.0%
Other values (18) 45
22.6%
ValueCountFrequency (%)
12 3
 
1.5%
19 12
6.0%
20 7
3.5%
24 1
 
0.5%
25 1
 
0.5%
26 9
4.5%
27 2
 
1.0%
33 1
 
0.5%
48 2
 
1.0%
49 2
 
1.0%
ValueCountFrequency (%)
129 3
 
1.5%
103 11
 
5.5%
102 32
16.1%
99 11
 
5.5%
96 10
 
5.0%
93 2
 
1.0%
92 4
 
2.0%
90 3
 
1.5%
77 1
 
0.5%
73 4
 
2.0%

0.17
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
3
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
3 8
 
4.0%

Length

2023-12-10T15:35:59.418842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:35:59.581159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
3 8
 
4.0%

20.1
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.497487
Minimum9
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:35:59.752474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14
Q137.5
median49
Q371
95-th percentile74
Maximum93
Range84
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation20.770481
Coefficient of variation (CV)0.41131711
Kurtosis-0.80282562
Mean50.497487
Median Absolute Deviation (MAD)20
Skewness-0.36532413
Sum10049
Variance431.41287
MonotonicityNot monotonic
2023-12-10T15:36:00.120554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
73 32
16.1%
47 32
16.1%
49 18
9.0%
71 13
 
6.5%
46 12
 
6.0%
14 12
 
6.0%
74 11
 
5.5%
19 10
 
5.0%
37 10
 
5.0%
69 8
 
4.0%
Other values (15) 41
20.6%
ValueCountFrequency (%)
9 3
 
1.5%
14 12
6.0%
15 7
3.5%
18 1
 
0.5%
19 10
5.0%
20 2
 
1.0%
24 1
 
0.5%
36 4
 
2.0%
37 10
5.0%
38 2
 
1.0%
ValueCountFrequency (%)
93 3
 
1.5%
74 11
 
5.5%
73 32
16.1%
71 13
6.5%
69 8
 
4.0%
68 2
 
1.0%
66 4
 
2.0%
65 3
 
1.5%
56 1
 
0.5%
52 4
 
2.0%

18
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.19598
Minimum8
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:00.321397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile13
Q132
median34
Q349.5
95-th percentile50
Maximum66
Range58
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.313879
Coefficient of variation (CV)0.36782756
Kurtosis-0.58106149
Mean36.19598
Median Absolute Deviation (MAD)13
Skewness-0.18933061
Sum7203
Variance177.25938
MonotonicityNot monotonic
2023-12-10T15:36:00.651827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
32 44
22.1%
50 43
21.6%
34 26
13.1%
13 12
 
6.0%
49 11
 
5.5%
18 8
 
4.0%
47 8
 
4.0%
14 7
 
3.5%
33 6
 
3.0%
63 5
 
2.5%
Other values (11) 29
14.6%
ValueCountFrequency (%)
8 3
 
1.5%
13 12
 
6.0%
14 7
 
3.5%
17 5
 
2.5%
18 8
 
4.0%
22 1
 
0.5%
25 2
 
1.0%
29 2
 
1.0%
32 44
22.1%
33 6
 
3.0%
ValueCountFrequency (%)
66 2
 
1.0%
63 5
 
2.5%
50 43
21.6%
49 11
 
5.5%
47 8
 
4.0%
45 4
 
2.0%
44 3
 
1.5%
38 1
 
0.5%
36 4
 
2.0%
35 2
 
1.0%

15.7
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.809045
Minimum6
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:00.925918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q132
median47
Q368
95-th percentile70
Maximum89
Range83
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.105644
Coefficient of variation (CV)0.45088815
Kurtosis-0.8784221
Mean46.809045
Median Absolute Deviation (MAD)20
Skewness-0.38374283
Sum9315
Variance445.4482
MonotonicityNot monotonic
2023-12-10T15:36:01.096226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
70 43
21.6%
45 23
11.6%
44 21
10.6%
47 19
9.5%
11 18
9.0%
68 11
 
5.5%
27 10
 
5.0%
14 10
 
5.0%
66 8
 
4.0%
50 4
 
2.0%
Other values (15) 32
16.1%
ValueCountFrequency (%)
6 1
 
0.5%
7 2
 
1.0%
10 1
 
0.5%
11 18
9.0%
13 1
 
0.5%
14 10
5.0%
15 2
 
1.0%
18 1
 
0.5%
27 10
5.0%
28 4
 
2.0%
ValueCountFrequency (%)
89 3
 
1.5%
70 43
21.6%
68 11
 
5.5%
66 8
 
4.0%
63 4
 
2.0%
62 3
 
1.5%
53 3
 
1.5%
51 2
 
1.0%
50 4
 
2.0%
47 19
9.5%

9.4
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.557789
Minimum4
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:01.273177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q125.5
median98
Q3147
95-th percentile152
Maximum191
Range187
Interquartile range (IQR)121.5

Descriptive statistics

Standard deviation55.05677
Coefficient of variation (CV)0.58847874
Kurtosis-1.122253
Mean93.557789
Median Absolute Deviation (MAD)53
Skewness-0.47616134
Sum18618
Variance3031.2479
MonotonicityNot monotonic
2023-12-10T15:36:01.493932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
151 22
11.1%
96 21
10.6%
152 21
10.6%
7 19
9.5%
102 17
8.5%
9 13
 
6.5%
98 12
 
6.0%
97 11
 
5.5%
147 11
 
5.5%
18 10
 
5.0%
Other values (15) 42
21.1%
ValueCountFrequency (%)
4 3
 
1.5%
7 19
9.5%
9 13
6.5%
12 1
 
0.5%
17 4
 
2.0%
18 10
5.0%
33 2
 
1.0%
34 2
 
1.0%
77 2
 
1.0%
88 2
 
1.0%
ValueCountFrequency (%)
191 3
 
1.5%
152 21
10.6%
151 22
11.1%
147 11
5.5%
142 8
 
4.0%
137 4
 
2.0%
134 3
 
1.5%
115 1
 
0.5%
108 4
 
2.0%
102 17
8.5%

302
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.57286
Minimum0
Maximum331
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:01.721211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30.9
Q1166
median176
Q3261
95-th percentile294
Maximum331
Range331
Interquartile range (IQR)95

Descriptive statistics

Standard deviation80.659864
Coefficient of variation (CV)0.43232366
Kurtosis-0.41399044
Mean186.57286
Median Absolute Deviation (MAD)78
Skewness-0.60421182
Sum37128
Variance6506.0136
MonotonicityNot monotonic
2023-12-10T15:36:01.939415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
166 21
 
10.6%
262 21
 
10.6%
176 17
 
8.5%
169 12
 
6.0%
261 11
 
5.5%
263 11
 
5.5%
255 11
 
5.5%
31 10
 
5.0%
167 9
 
4.5%
246 8
 
4.0%
Other values (29) 68
34.2%
ValueCountFrequency (%)
0 3
 
1.5%
29 1
 
0.5%
30 6
3.0%
31 10
5.0%
32 2
 
1.0%
42 1
 
0.5%
44 1
 
0.5%
57 1
 
0.5%
95 2
 
1.0%
96 1
 
0.5%
ValueCountFrequency (%)
331 3
 
1.5%
302 2
 
1.0%
295 3
 
1.5%
294 3
 
1.5%
289 3
 
1.5%
263 11
5.5%
262 21
10.6%
261 11
5.5%
255 11
5.5%
246 8
 
4.0%

477
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean199.33668
Minimum0
Maximum477
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:02.181627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile48
Q1160
median170
Q3253.5
95-th percentile457
Maximum477
Range477
Interquartile range (IQR)93.5

Descriptive statistics

Standard deviation93.490896
Coefficient of variation (CV)0.46900999
Kurtosis1.8239065
Mean199.33668
Median Absolute Deviation (MAD)68
Skewness0.76476054
Sum39668
Variance8740.5477
MonotonicityNot monotonic
2023-12-10T15:36:02.388623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
254 21
 
10.6%
170 15
 
7.5%
160 12
 
6.0%
255 11
 
5.5%
253 11
 
5.5%
247 11
 
5.5%
48 11
 
5.5%
162 11
 
5.5%
164 10
 
5.0%
161 9
 
4.5%
Other values (31) 77
38.7%
ValueCountFrequency (%)
0 3
 
1.5%
47 1
 
0.5%
48 11
5.5%
50 5
2.5%
51 2
 
1.0%
67 1
 
0.5%
70 1
 
0.5%
90 1
 
0.5%
129 2
 
1.0%
147 2
 
1.0%
ValueCountFrequency (%)
477 2
 
1.0%
465 3
 
1.5%
464 3
 
1.5%
457 3
 
1.5%
321 3
 
1.5%
278 2
 
1.0%
269 2
 
1.0%
255 11
5.5%
254 21
10.6%
253 11
5.5%

85.1
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.658291
Minimum0
Maximum85
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:02.614488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q133
median35
Q352
95-th percentile81
Maximum85
Range85
Interquartile range (IQR)19

Descriptive statistics

Standard deviation17.587984
Coefficient of variation (CV)0.4434882
Kurtosis0.6177131
Mean39.658291
Median Absolute Deviation (MAD)14
Skewness0.20224159
Sum7892
Variance309.33719
MonotonicityNot monotonic
2023-12-10T15:36:02.814532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
52 43
21.6%
33 32
16.1%
35 20
10.1%
9 18
9.0%
34 12
 
6.0%
51 11
 
5.5%
49 10
 
5.0%
28 10
 
5.0%
83 6
 
3.0%
27 5
 
2.5%
Other values (14) 32
16.1%
ValueCountFrequency (%)
0 3
 
1.5%
8 1
 
0.5%
9 18
9.0%
12 2
 
1.0%
16 1
 
0.5%
27 5
 
2.5%
28 10
 
5.0%
30 2
 
1.0%
33 32
16.1%
34 12
 
6.0%
ValueCountFrequency (%)
85 2
 
1.0%
83 6
 
3.0%
81 3
 
1.5%
66 3
 
1.5%
52 43
21.6%
51 11
 
5.5%
49 10
 
5.0%
48 2
 
1.0%
47 4
 
2.0%
46 3
 
1.5%

76.1
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.98995
Minimum0
Maximum76
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:03.016461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q126
median27
Q341
95-th percentile72
Maximum76
Range76
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.896949
Coefficient of variation (CV)0.46567591
Kurtosis1.6911342
Mean31.98995
Median Absolute Deviation (MAD)11
Skewness0.71982691
Sum6366
Variance221.91909
MonotonicityNot monotonic
2023-12-10T15:36:03.235593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
26 44
22.1%
41 43
21.6%
27 20
10.1%
8 18
9.0%
40 11
 
5.5%
25 10
 
5.0%
38 8
 
4.0%
74 6
 
3.0%
24 5
 
2.5%
37 4
 
2.0%
Other values (14) 30
15.1%
ValueCountFrequency (%)
0 3
 
1.5%
7 1
 
0.5%
8 18
9.0%
11 2
 
1.0%
14 1
 
0.5%
21 2
 
1.0%
24 5
 
2.5%
25 10
 
5.0%
26 44
22.1%
27 20
10.1%
ValueCountFrequency (%)
76 2
 
1.0%
74 6
 
3.0%
72 3
 
1.5%
51 3
 
1.5%
44 2
 
1.0%
43 2
 
1.0%
41 43
21.6%
40 11
 
5.5%
38 8
 
4.0%
37 4
 
2.0%

70.1
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.748744
Minimum0
Maximum70
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:03.520378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q124
median26
Q338
95-th percentile67
Maximum70
Range70
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.816152
Coefficient of variation (CV)0.46442807
Kurtosis1.5881274
Mean29.748744
Median Absolute Deviation (MAD)10
Skewness0.65015782
Sum5920
Variance190.88605
MonotonicityNot monotonic
2023-12-10T15:36:03.718964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
38 43
21.6%
24 32
16.1%
7 19
9.5%
26 17
 
8.5%
25 15
 
7.5%
37 11
 
5.5%
23 10
 
5.0%
36 8
 
4.0%
34 7
 
3.5%
68 6
 
3.0%
Other values (13) 31
15.6%
ValueCountFrequency (%)
0 3
 
1.5%
7 19
9.5%
10 2
 
1.0%
13 1
 
0.5%
19 2
 
1.0%
22 5
 
2.5%
23 10
 
5.0%
24 32
16.1%
25 15
7.5%
26 17
8.5%
ValueCountFrequency (%)
70 2
 
1.0%
68 6
 
3.0%
67 3
 
1.5%
48 3
 
1.5%
41 2
 
1.0%
40 2
 
1.0%
38 43
21.6%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%

48
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.41206
Minimum0
Maximum63
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:03.938349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q131
median33
Q348
95-th percentile50
Maximum63
Range63
Interquartile range (IQR)17

Descriptive statistics

Standard deviation15.239868
Coefficient of variation (CV)0.44286417
Kurtosis-0.4482376
Mean34.41206
Median Absolute Deviation (MAD)14
Skewness-0.65727892
Sum6848
Variance232.25359
MonotonicityNot monotonic
2023-12-10T15:36:04.161051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
50 32
16.1%
32 23
11.6%
31 21
10.6%
33 20
10.1%
5 19
9.5%
47 14
7.0%
48 13
6.5%
49 11
 
5.5%
16 10
 
5.0%
35 4
 
2.0%
Other values (14) 32
16.1%
ValueCountFrequency (%)
0 3
 
1.5%
5 19
9.5%
7 2
 
1.0%
9 1
 
0.5%
15 3
 
1.5%
16 10
5.0%
22 1
 
0.5%
25 2
 
1.0%
27 2
 
1.0%
28 2
 
1.0%
ValueCountFrequency (%)
63 3
 
1.5%
50 32
16.1%
49 11
 
5.5%
48 13
6.5%
47 14
7.0%
46 3
 
1.5%
45 4
 
2.0%
44 3
 
1.5%
38 1
 
0.5%
35 4
 
2.0%

0.18
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

Length

2023-12-10T15:36:04.369183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:04.514373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

23.7
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.110553
Minimum0
Maximum106
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:04.700783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q123
median54
Q381
95-th percentile84
Maximum106
Range106
Interquartile range (IQR)58

Descriptive statistics

Standard deviation29.872927
Coefficient of variation (CV)0.5732606
Kurtosis-1.013762
Mean52.110553
Median Absolute Deviation (MAD)29
Skewness-0.4884936
Sum10370
Variance892.39176
MonotonicityNot monotonic
2023-12-10T15:36:04.910155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
84 32
16.1%
53 32
16.1%
2 19
9.5%
56 19
9.5%
54 12
 
6.0%
81 11
 
5.5%
83 11
 
5.5%
8 10
 
5.0%
23 8
 
4.0%
78 8
 
4.0%
Other values (16) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
9.5%
3 2
 
1.0%
4 1
 
0.5%
7 3
 
1.5%
8 10
5.0%
11 1
 
0.5%
13 2
 
1.0%
14 2
 
1.0%
22 3
 
1.5%
ValueCountFrequency (%)
106 3
 
1.5%
84 32
16.1%
83 11
 
5.5%
81 11
 
5.5%
78 8
 
4.0%
76 4
 
2.0%
74 3
 
1.5%
63 1
 
0.5%
60 4
 
2.0%
56 19
9.5%

189
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.306533
Minimum0
Maximum189
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:05.153490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q136.5
median51
Q357
95-th percentile181
Maximum189
Range189
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation35.988515
Coefficient of variation (CV)0.67512392
Kurtosis7.3449994
Mean53.306533
Median Absolute Deviation (MAD)12
Skewness2.6233009
Sum10608
Variance1295.1732
MonotonicityNot monotonic
2023-12-10T15:36:05.386654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
57 32
16.1%
37 23
11.6%
36 22
11.1%
39 17
 
8.5%
19 11
 
5.5%
56 11
 
5.5%
58 11
 
5.5%
54 8
 
4.0%
20 7
 
3.5%
41 4
 
2.0%
Other values (22) 53
26.6%
ValueCountFrequency (%)
0 3
 
1.5%
18 1
 
0.5%
19 11
5.5%
20 7
 
3.5%
27 1
 
0.5%
28 1
 
0.5%
29 2
 
1.0%
33 2
 
1.0%
36 22
11.1%
37 23
11.6%
ValueCountFrequency (%)
189 2
1.0%
185 3
1.5%
184 3
1.5%
181 3
1.5%
110 2
1.0%
107 2
1.0%
85 1
 
0.5%
73 3
1.5%
63 2
1.0%
62 4
2.0%

111
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.768844
Minimum0
Maximum111
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:05.602137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11
Q126
median35
Q341
95-th percentile107
Maximum111
Range111
Interquartile range (IQR)15

Descriptive statistics

Standard deviation20.923305
Coefficient of variation (CV)0.58495893
Kurtosis5.898722
Mean35.768844
Median Absolute Deviation (MAD)7
Skewness2.1800988
Sum7118
Variance437.78468
MonotonicityNot monotonic
2023-12-10T15:36:05.818075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
41 43
21.6%
26 32
16.1%
28 17
 
8.5%
27 15
 
7.5%
11 12
 
6.0%
40 11
 
5.5%
36 9
 
4.5%
37 8
 
4.0%
39 8
 
4.0%
12 7
 
3.5%
Other values (14) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
11 12
 
6.0%
12 7
 
3.5%
16 2
 
1.0%
21 3
 
1.5%
24 2
 
1.0%
26 32
16.1%
27 15
7.5%
28 17
8.5%
29 4
 
2.0%
ValueCountFrequency (%)
111 2
 
1.0%
109 6
 
3.0%
107 3
 
1.5%
65 2
 
1.0%
63 2
 
1.0%
52 3
 
1.5%
50 1
 
0.5%
41 43
21.6%
40 11
 
5.5%
39 8
 
4.0%

86
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.432161
Minimum0
Maximum86
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:06.023293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q118
median25
Q328
95-th percentile83
Maximum86
Range86
Interquartile range (IQR)10

Descriptive statistics

Standard deviation16.277399
Coefficient of variation (CV)0.64003208
Kurtosis6.9524821
Mean25.432161
Median Absolute Deviation (MAD)6
Skewness2.5037571
Sum5061
Variance264.95371
MonotonicityNot monotonic
2023-12-10T15:36:06.193051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
28 51
25.6%
18 44
22.1%
19 20
 
10.1%
9 18
 
9.0%
27 14
 
7.0%
26 8
 
4.0%
25 7
 
3.5%
84 6
 
3.0%
20 4
 
2.0%
0 3
 
1.5%
Other values (13) 24
12.1%
ValueCountFrequency (%)
0 3
 
1.5%
8 1
 
0.5%
9 18
9.0%
12 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
16 3
 
1.5%
18 44
22.1%
19 20
10.1%
20 4
 
2.0%
ValueCountFrequency (%)
86 2
 
1.0%
84 6
 
3.0%
83 3
 
1.5%
50 2
 
1.0%
49 2
 
1.0%
39 1
 
0.5%
36 3
 
1.5%
29 2
 
1.0%
28 51
25.6%
27 14
 
7.0%

61.1
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.477387
Minimum0
Maximum61
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:06.368101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q125
median26
Q339
95-th percentile58
Maximum61
Range61
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.01391
Coefficient of variation (CV)0.44148792
Kurtosis0.25855057
Mean29.477387
Median Absolute Deviation (MAD)11
Skewness0.0004994539
Sum5866
Variance169.36186
MonotonicityNot monotonic
2023-12-10T15:36:06.561370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
25 44
22.1%
39 32
16.1%
6 19
9.5%
26 18
9.0%
20 12
 
6.0%
38 11
 
5.5%
40 11
 
5.5%
37 8
 
4.0%
59 6
 
3.0%
35 5
 
2.5%
Other values (13) 33
16.6%
ValueCountFrequency (%)
0 3
 
1.5%
6 19
9.5%
9 2
 
1.0%
11 1
 
0.5%
19 3
 
1.5%
20 12
 
6.0%
23 2
 
1.0%
25 44
22.1%
26 18
9.0%
27 3
 
1.5%
ValueCountFrequency (%)
61 2
 
1.0%
59 6
 
3.0%
58 3
 
1.5%
50 3
 
1.5%
40 11
 
5.5%
39 32
16.1%
38 11
 
5.5%
37 8
 
4.0%
36 4
 
2.0%
35 5
 
2.5%

29.1
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.633166
Minimum0
Maximum108
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:06.767089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q128
median55
Q383
95-th percentile86
Maximum108
Range108
Interquartile range (IQR)55

Descriptive statistics

Standard deviation29.811379
Coefficient of variation (CV)0.5558385
Kurtosis-0.96002895
Mean53.633166
Median Absolute Deviation (MAD)28
Skewness-0.48861501
Sum10673
Variance888.71829
MonotonicityNot monotonic
2023-12-10T15:36:06.945396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
85 32
16.1%
54 32
16.1%
3 19
9.5%
57 19
9.5%
55 12
 
6.0%
9 11
 
5.5%
83 11
 
5.5%
86 11
 
5.5%
28 9
 
4.5%
80 8
 
4.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
4 2
 
1.0%
5 1
 
0.5%
9 11
5.5%
10 2
 
1.0%
13 1
 
0.5%
16 2
 
1.0%
17 2
 
1.0%
28 9
4.5%
ValueCountFrequency (%)
108 3
 
1.5%
86 11
 
5.5%
85 32
16.1%
83 11
 
5.5%
80 8
 
4.0%
77 4
 
2.0%
75 3
 
1.5%
64 1
 
0.5%
61 4
 
2.0%
57 19
9.5%

51
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.07538
Minimum49
Maximum385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:07.153702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile51
Q1151
median202
Q3296
95-th percentile306
Maximum385
Range336
Interquartile range (IQR)145

Descriptive statistics

Standard deviation81.007603
Coefficient of variation (CV)0.38378518
Kurtosis-0.73205477
Mean211.07538
Median Absolute Deviation (MAD)73
Skewness-0.24428209
Sum42004
Variance6562.2317
MonotonicityNot monotonic
2023-12-10T15:36:07.941469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
193 21
 
10.6%
304 21
 
10.6%
204 17
 
8.5%
296 11
 
5.5%
195 11
 
5.5%
303 11
 
5.5%
306 11
 
5.5%
197 10
 
5.0%
286 8
 
4.0%
101 6
 
3.0%
Other values (30) 72
36.2%
ValueCountFrequency (%)
49 3
1.5%
50 6
3.0%
51 3
1.5%
54 1
 
0.5%
69 1
 
0.5%
79 1
 
0.5%
98 3
1.5%
101 6
3.0%
102 3
1.5%
103 2
 
1.0%
ValueCountFrequency (%)
385 3
 
1.5%
306 11
5.5%
304 21
10.6%
303 11
5.5%
296 11
5.5%
286 8
 
4.0%
275 4
 
2.0%
269 3
 
1.5%
230 1
 
0.5%
217 4
 
2.0%

58.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.08543
Minimum55
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:08.168314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile58
Q1163.5
median196
Q3287
95-th percentile296
Maximum372
Range317
Interquartile range (IQR)123.5

Descriptive statistics

Standard deviation73.995958
Coefficient of variation (CV)0.35390299
Kurtosis-0.59600031
Mean209.08543
Median Absolute Deviation (MAD)70
Skewness-0.23055176
Sum41608
Variance5475.4018
MonotonicityNot monotonic
2023-12-10T15:36:08.406638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
295 21
 
10.6%
198 13
 
6.5%
190 12
 
6.0%
186 12
 
6.0%
287 11
 
5.5%
296 11
 
5.5%
294 11
 
5.5%
188 11
 
5.5%
187 9
 
4.5%
276 8
 
4.0%
Other values (31) 80
40.2%
ValueCountFrequency (%)
55 3
1.5%
56 6
3.0%
58 3
1.5%
60 1
 
0.5%
78 1
 
0.5%
90 1
 
0.5%
110 3
1.5%
113 4
2.0%
114 4
2.0%
116 3
1.5%
ValueCountFrequency (%)
372 3
 
1.5%
296 11
5.5%
295 21
10.6%
294 11
5.5%
287 11
5.5%
276 8
 
4.0%
266 4
 
2.0%
261 3
 
1.5%
239 2
 
1.0%
231 2
 
1.0%

20.2
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.050251
Minimum20
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:08.834476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile20
Q139
median43
Q359.5
95-th percentile61
Maximum85
Range65
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation13.450902
Coefficient of variation (CV)0.27993405
Kurtosis-0.063148606
Mean48.050251
Median Absolute Deviation (MAD)12
Skewness0.022044245
Sum9562
Variance180.92675
MonotonicityNot monotonic
2023-12-10T15:36:09.175275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
61 32
16.1%
39 26
13.1%
41 22
11.1%
38 21
10.6%
57 13
6.5%
59 13
6.5%
60 11
 
5.5%
20 11
 
5.5%
55 10
 
5.0%
40 9
 
4.5%
Other values (13) 31
15.6%
ValueCountFrequency (%)
20 11
5.5%
21 2
 
1.0%
28 1
 
0.5%
31 2
 
1.0%
32 1
 
0.5%
35 2
 
1.0%
38 21
10.6%
39 26
13.1%
40 9
 
4.5%
41 22
11.1%
ValueCountFrequency (%)
85 2
 
1.0%
82 2
 
1.0%
77 3
 
1.5%
61 32
16.1%
60 11
 
5.5%
59 13
6.5%
57 13
6.5%
56 5
 
2.5%
55 10
 
5.0%
54 4
 
2.0%

11.3
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.532663
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:09.622559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile11
Q130
median31
Q346
95-th percentile48
Maximum60
Range50
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.091342
Coefficient of variation (CV)0.32118409
Kurtosis-0.42579126
Mean34.532663
Median Absolute Deviation (MAD)9
Skewness-0.23016965
Sum6872
Variance123.01787
MonotonicityNot monotonic
2023-12-10T15:36:09.934131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
30 44
22.1%
47 32
16.1%
32 18
9.0%
31 14
 
7.0%
48 11
 
5.5%
46 11
 
5.5%
44 10
 
5.0%
11 10
 
5.0%
22 7
 
3.5%
21 7
 
3.5%
Other values (13) 35
17.6%
ValueCountFrequency (%)
10 3
 
1.5%
11 10
5.0%
15 1
 
0.5%
17 1
 
0.5%
21 7
3.5%
22 7
3.5%
23 2
 
1.0%
24 2
 
1.0%
27 2
 
1.0%
29 7
3.5%
ValueCountFrequency (%)
60 3
 
1.5%
48 11
 
5.5%
47 32
16.1%
46 11
 
5.5%
45 2
 
1.0%
44 10
 
5.0%
43 4
 
2.0%
42 3
 
1.5%
36 1
 
0.5%
34 4
 
2.0%

0.19
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

Length

2023-12-10T15:36:10.141218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:10.386001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

10.7
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.994975
Minimum9
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:10.545393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10
Q127
median29
Q343
95-th percentile45
Maximum56
Range47
Interquartile range (IQR)16

Descriptive statistics

Standard deviation10.674948
Coefficient of variation (CV)0.33364453
Kurtosis-0.46691012
Mean31.994975
Median Absolute Deviation (MAD)10
Skewness-0.24837831
Sum6367
Variance113.95452
MonotonicityNot monotonic
2023-12-10T15:36:10.755550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
28 34
17.1%
44 32
16.1%
30 17
8.5%
29 15
 
7.5%
26 13
 
6.5%
43 11
 
5.5%
19 11
 
5.5%
45 11
 
5.5%
9 9
 
4.5%
42 8
 
4.0%
Other values (14) 38
19.1%
ValueCountFrequency (%)
9 9
4.5%
10 4
 
2.0%
13 1
 
0.5%
15 1
 
0.5%
18 3
 
1.5%
19 11
5.5%
20 2
 
1.0%
23 2
 
1.0%
25 1
 
0.5%
26 13
6.5%
ValueCountFrequency (%)
56 3
 
1.5%
45 11
 
5.5%
44 32
16.1%
43 11
 
5.5%
42 8
 
4.0%
40 6
 
3.0%
39 3
 
1.5%
38 2
 
1.0%
33 1
 
0.5%
32 4
 
2.0%

7.3
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.472362
Minimum7
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:10.975481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7
Q124
median37
Q356
95-th percentile58
Maximum73
Range66
Interquartile range (IQR)32

Descriptive statistics

Standard deviation17.082036
Coefficient of variation (CV)0.44400799
Kurtosis-0.95898203
Mean38.472362
Median Absolute Deviation (MAD)18
Skewness-0.2888477
Sum7656
Variance291.79595
MonotonicityNot monotonic
2023-12-10T15:36:11.181591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
58 32
16.1%
37 32
16.1%
39 17
8.5%
14 14
 
7.0%
7 13
 
6.5%
19 12
 
6.0%
36 12
 
6.0%
56 11
 
5.5%
57 11
 
5.5%
54 8
 
4.0%
Other values (13) 37
18.6%
ValueCountFrequency (%)
7 13
6.5%
10 1
 
0.5%
11 1
 
0.5%
14 14
7.0%
15 2
 
1.0%
19 12
6.0%
20 7
3.5%
28 2
 
1.0%
29 4
 
2.0%
33 2
 
1.0%
ValueCountFrequency (%)
73 3
 
1.5%
58 32
16.1%
57 11
 
5.5%
56 11
 
5.5%
54 8
 
4.0%
52 4
 
2.0%
51 3
 
1.5%
44 1
 
0.5%
41 4
 
2.0%
39 17
8.5%

3.1
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.648241
Minimum3
Maximum123
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:11.394451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q111
median63
Q394
95-th percentile98
Maximum123
Range120
Interquartile range (IQR)83

Descriptive statistics

Standard deviation35.704128
Coefficient of variation (CV)0.59857805
Kurtosis-1.1462494
Mean59.648241
Median Absolute Deviation (MAD)34
Skewness-0.46917546
Sum11870
Variance1274.7847
MonotonicityNot monotonic
2023-12-10T15:36:11.623335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
97 32
16.1%
62 20
10.1%
65 18
9.0%
6 14
 
7.0%
3 13
 
6.5%
61 12
 
6.0%
9 12
 
6.0%
63 12
 
6.0%
94 11
 
5.5%
98 11
 
5.5%
Other values (14) 44
22.1%
ValueCountFrequency (%)
3 13
6.5%
4 1
 
0.5%
5 1
 
0.5%
6 14
7.0%
7 2
 
1.0%
8 7
3.5%
9 12
6.0%
13 4
 
2.0%
49 2
 
1.0%
56 2
 
1.0%
ValueCountFrequency (%)
123 3
 
1.5%
98 11
 
5.5%
97 32
16.1%
94 11
 
5.5%
91 8
 
4.0%
88 4
 
2.0%
86 3
 
1.5%
73 1
 
0.5%
69 4
 
2.0%
65 18
9.0%

33.1
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.979899
Minimum32
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:11.843114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile33
Q143
median63
Q367
95-th percentile92
Maximum136
Range104
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.467652
Coefficient of variation (CV)0.33007266
Kurtosis2.7235612
Mean58.979899
Median Absolute Deviation (MAD)18
Skewness1.2497024
Sum11737
Variance378.98949
MonotonicityNot monotonic
2023-12-10T15:36:12.048643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
67 43
21.6%
43 23
11.6%
42 21
10.6%
65 19
9.5%
45 17
 
8.5%
63 11
 
5.5%
32 9
 
4.5%
88 6
 
3.0%
90 5
 
2.5%
92 5
 
2.5%
Other values (18) 40
20.1%
ValueCountFrequency (%)
32 9
 
4.5%
33 3
 
1.5%
34 2
 
1.0%
35 1
 
0.5%
39 2
 
1.0%
42 21
10.6%
43 23
11.6%
44 4
 
2.0%
45 17
8.5%
48 4
 
2.0%
ValueCountFrequency (%)
136 2
 
1.0%
132 2
 
1.0%
95 2
 
1.0%
92 5
2.5%
90 5
2.5%
88 6
3.0%
87 1
 
0.5%
84 3
1.5%
69 1
 
0.5%
68 1
 
0.5%

13.4
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.994975
Minimum12
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:12.275535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile13
Q130
median34
Q347.5
95-th percentile48
Maximum61
Range49
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation10.793047
Coefficient of variation (CV)0.29984873
Kurtosis-0.35902877
Mean35.994975
Median Absolute Deviation (MAD)9
Skewness-0.20627072
Sum7163
Variance116.48987
MonotonicityNot monotonic
2023-12-10T15:36:12.495156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
48 43
21.6%
31 23
11.6%
30 21
10.6%
32 20
10.1%
47 11
 
5.5%
34 11
 
5.5%
25 11
 
5.5%
45 8
 
4.0%
13 7
 
3.5%
12 6
 
3.0%
Other values (14) 38
19.1%
ValueCountFrequency (%)
12 6
 
3.0%
13 7
 
3.5%
17 1
 
0.5%
20 1
 
0.5%
24 2
 
1.0%
25 11
5.5%
26 3
 
1.5%
27 2
 
1.0%
28 2
 
1.0%
30 21
10.6%
ValueCountFrequency (%)
61 3
 
1.5%
53 2
 
1.0%
51 2
 
1.0%
48 43
21.6%
47 11
 
5.5%
45 8
 
4.0%
43 4
 
2.0%
42 3
 
1.5%
37 2
 
1.0%
36 6
 
3.0%

7.4
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.452261
Minimum6
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:12.705639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q119
median22
Q332
95-th percentile33
Maximum41
Range35
Interquartile range (IQR)13

Descriptive statistics

Standard deviation8.1950023
Coefficient of variation (CV)0.34943335
Kurtosis-0.5695709
Mean23.452261
Median Absolute Deviation (MAD)8
Skewness-0.25240016
Sum4667
Variance67.158063
MonotonicityNot monotonic
2023-12-10T15:36:12.913021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
21 44
22.1%
33 43
21.6%
22 20
10.1%
18 15
 
7.5%
13 14
 
7.0%
32 11
 
5.5%
6 9
 
4.5%
31 8
 
4.0%
19 6
 
3.0%
27 4
 
2.0%
Other values (10) 25
12.6%
ValueCountFrequency (%)
6 9
 
4.5%
7 4
 
2.0%
9 1
 
0.5%
10 1
 
0.5%
13 14
 
7.0%
14 2
 
1.0%
17 2
 
1.0%
18 15
 
7.5%
19 6
 
3.0%
21 44
22.1%
ValueCountFrequency (%)
41 3
 
1.5%
33 43
21.6%
32 11
 
5.5%
31 8
 
4.0%
30 4
 
2.0%
29 3
 
1.5%
27 4
 
2.0%
25 1
 
0.5%
23 4
 
2.0%
22 20
10.1%

3.2
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.271357
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:13.098684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q111
median30
Q345
95-th percentile46
Maximum58
Range55
Interquartile range (IQR)34

Descriptive statistics

Standard deviation15.469642
Coefficient of variation (CV)0.52849078
Kurtosis-1.1036703
Mean29.271357
Median Absolute Deviation (MAD)16
Skewness-0.39526861
Sum5825
Variance239.30983
MonotonicityNot monotonic
2023-12-10T15:36:13.279154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
46 43
21.6%
29 32
16.1%
9 19
9.5%
31 18
9.0%
30 14
 
7.0%
3 13
 
6.5%
6 11
 
5.5%
45 11
 
5.5%
43 8
 
4.0%
41 7
 
3.5%
Other values (10) 23
11.6%
ValueCountFrequency (%)
3 13
6.5%
4 1
 
0.5%
5 1
 
0.5%
6 11
5.5%
7 5
 
2.5%
9 19
9.5%
13 2
 
1.0%
14 2
 
1.0%
23 2
 
1.0%
27 2
 
1.0%
ValueCountFrequency (%)
58 3
 
1.5%
46 43
21.6%
45 11
 
5.5%
43 8
 
4.0%
41 7
 
3.5%
35 1
 
0.5%
33 4
 
2.0%
31 18
9.0%
30 14
 
7.0%
29 32
16.1%

2.3
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.045226
Minimum2
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:13.475179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q17
median64
Q396
95-th percentile99
Maximum125
Range123
Interquartile range (IQR)89

Descriptive statistics

Standard deviation37.412834
Coefficient of variation (CV)0.62307758
Kurtosis-1.1491364
Mean60.045226
Median Absolute Deviation (MAD)35
Skewness-0.49847256
Sum11949
Variance1399.7202
MonotonicityNot monotonic
2023-12-10T15:36:13.673510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
99 43
21.6%
63 32
16.1%
66 18
9.0%
5 17
 
8.5%
4 16
 
8.0%
2 13
 
6.5%
64 12
 
6.0%
96 11
 
5.5%
93 8
 
4.0%
8 4
 
2.0%
Other values (10) 25
12.6%
ValueCountFrequency (%)
2 13
6.5%
3 2
 
1.0%
4 16
8.0%
5 17
8.5%
6 2
 
1.0%
8 4
 
2.0%
50 2
 
1.0%
57 2
 
1.0%
63 32
16.1%
64 12
 
6.0%
ValueCountFrequency (%)
125 3
 
1.5%
99 43
21.6%
96 11
 
5.5%
93 8
 
4.0%
89 4
 
2.0%
87 3
 
1.5%
75 1
 
0.5%
70 4
 
2.0%
67 2
 
1.0%
66 18
9.0%

82
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.326633
Minimum46
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:13.880871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum46
5-th percentile67
Q168
median95
Q3105
95-th percentile111
Maximum194
Range148
Interquartile range (IQR)37

Descriptive statistics

Standard deviation23.34283
Coefficient of variation (CV)0.25842688
Kurtosis4.9670731
Mean90.326633
Median Absolute Deviation (MAD)15
Skewness1.4380794
Sum17975
Variance544.88772
MonotonicityNot monotonic
2023-12-10T15:36:14.123114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
105 32
16.1%
67 30
15.1%
71 17
 
8.5%
68 14
 
7.0%
106 12
 
6.0%
103 11
 
5.5%
99 10
 
5.0%
80 8
 
4.0%
107 6
 
3.0%
109 5
 
2.5%
Other values (22) 54
27.1%
ValueCountFrequency (%)
46 1
 
0.5%
48 1
 
0.5%
53 2
 
1.0%
61 2
 
1.0%
62 1
 
0.5%
67 30
15.1%
68 14
7.0%
70 3
 
1.5%
71 17
8.5%
75 4
 
2.0%
ValueCountFrequency (%)
194 2
 
1.0%
188 2
 
1.0%
133 3
 
1.5%
115 2
 
1.0%
111 5
 
2.5%
109 5
 
2.5%
107 6
 
3.0%
106 12
 
6.0%
105 32
16.1%
103 11
 
5.5%

99.2
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.030151
Minimum52
Maximum235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:14.590480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52
5-th percentile64
Q166.5
median97
Q3102
95-th percentile134
Maximum235
Range183
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation30.158321
Coefficient of variation (CV)0.32073033
Kurtosis6.649104
Mean94.030151
Median Absolute Deviation (MAD)24
Skewness1.860746
Sum18712
Variance909.52434
MonotonicityNot monotonic
2023-12-10T15:36:15.126338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
102 43
21.6%
65 22
 
11.1%
68 17
 
8.5%
99 13
 
6.5%
64 12
 
6.0%
66 10
 
5.0%
96 9
 
4.5%
97 6
 
3.0%
130 6
 
3.0%
117 6
 
3.0%
Other values (26) 55
27.6%
ValueCountFrequency (%)
52 2
 
1.0%
55 1
 
0.5%
58 1
 
0.5%
59 2
 
1.0%
64 12
6.0%
65 22
11.1%
66 10
5.0%
67 1
 
0.5%
68 17
8.5%
69 2
 
1.0%
ValueCountFrequency (%)
235 2
 
1.0%
228 2
 
1.0%
139 2
 
1.0%
135 2
 
1.0%
134 3
1.5%
132 5
2.5%
130 6
3.0%
129 3
1.5%
128 1
 
0.5%
119 2
 
1.0%

2611010400000200001
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6110106 × 1018
Minimum2.6110104 × 1018
Maximum2.6110112 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:15.596878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.6110104 × 1018
5-th percentile2.6110104 × 1018
Q12.6110104 × 1018
median2.6110104 × 1018
Q32.6110109 × 1018
95-th percentile2.6110109 × 1018
Maximum2.6110112 × 1018
Range7.9999986 × 1011
Interquartile range (IQR)4.9999996 × 1011

Descriptive statistics

Standard deviation2.3500781 × 1011
Coefficient of variation (CV)9.0006458 × 10-8
Kurtosis-0.7499658
Mean2.6110106 × 1018
Median Absolute Deviation (MAD)39936
Skewness0.81441959
Sum3.082272 × 1018
Variance5.5228672 × 1022
MonotonicityNot monotonic
2023-12-10T15:36:15.915350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2611010900000200031 41
20.6%
2611010400000200001 30
15.1%
2611010400000240016 14
 
7.0%
2611010400000240025 13
 
6.5%
2611010400000240019 13
 
6.5%
2611010400000240036 12
 
6.0%
2611010400000240044 10
 
5.0%
2611010700000310010 10
 
5.0%
2611010400000240042 10
 
5.0%
2611010400000240045 9
 
4.5%
Other values (8) 37
18.6%
ValueCountFrequency (%)
2611010400000200001 30
15.1%
2611010400000240016 14
7.0%
2611010400000240019 13
6.5%
2611010400000240025 13
6.5%
2611010400000240036 12
 
6.0%
2611010400000240042 10
 
5.0%
2611010400000240044 10
 
5.0%
2611010400000240045 9
 
4.5%
2611010500000490037 6
 
3.0%
2611010500000540005 5
 
2.5%
ValueCountFrequency (%)
2611011200000060005 5
 
2.5%
2611010900000660003 8
 
4.0%
2611010900000200031 41
20.6%
2611010700000760002 3
 
1.5%
2611010700000400006 1
 
0.5%
2611010700000400004 2
 
1.0%
2611010700000360024 7
 
3.5%
2611010700000310010 10
 
5.0%
2611010500000540005 5
 
2.5%
2611010500000490037 6
 
3.0%

0.20
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
5
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

Length

2023-12-10T15:36:16.177602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:16.369684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

20.3
Real number (ℝ)

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.040201
Minimum11
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:16.518800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median20
Q321
95-th percentile27
Maximum46
Range35
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.8653573
Coefficient of variation (CV)0.30805123
Kurtosis6.274347
Mean19.040201
Median Absolute Deviation (MAD)5
Skewness1.7540339
Sum3789
Variance34.402416
MonotonicityNot monotonic
2023-12-10T15:36:16.710990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
21 45
22.6%
13 34
17.1%
14 30
15.1%
20 21
10.6%
19 17
 
8.5%
26 14
 
7.0%
23 8
 
4.0%
27 7
 
3.5%
15 5
 
2.5%
22 4
 
2.0%
Other values (7) 14
 
7.0%
ValueCountFrequency (%)
11 4
 
2.0%
12 2
 
1.0%
13 34
17.1%
14 30
15.1%
15 5
 
2.5%
16 1
 
0.5%
19 17
 
8.5%
20 21
10.6%
21 45
22.6%
22 4
 
2.0%
ValueCountFrequency (%)
46 2
 
1.0%
45 2
 
1.0%
27 7
 
3.5%
26 14
 
7.0%
25 1
 
0.5%
24 2
 
1.0%
23 8
 
4.0%
22 4
 
2.0%
21 45
22.6%
20 21
10.6%

20.4
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.306533
Minimum8
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:16.908166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q319
95-th percentile27
Maximum47
Range39
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.7943461
Coefficient of variation (CV)0.41666406
Kurtosis5.9327676
Mean16.306533
Median Absolute Deviation (MAD)5
Skewness1.9751686
Sum3245
Variance46.163139
MonotonicityNot monotonic
2023-12-10T15:36:17.118089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16 54
27.1%
11 35
17.6%
10 30
15.1%
15 13
 
6.5%
26 11
 
5.5%
19 10
 
5.0%
23 7
 
3.5%
12 6
 
3.0%
24 6
 
3.0%
27 6
 
3.0%
Other values (9) 21
 
10.6%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 30
15.1%
11 35
17.6%
12 6
 
3.0%
14 3
 
1.5%
15 13
 
6.5%
16 54
27.1%
19 10
 
5.0%
20 2
 
1.0%
ValueCountFrequency (%)
47 2
 
1.0%
46 2
 
1.0%
28 2
 
1.0%
27 6
3.0%
26 11
5.5%
24 6
3.0%
23 7
3.5%
22 2
 
1.0%
21 4
 
2.0%
20 2
 
1.0%

22.3
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.437186
Minimum8
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:17.333692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median15
Q321
95-th percentile30
Maximum52
Range44
Interquartile range (IQR)11

Descriptive statistics

Standard deviation8.0569202
Coefficient of variation (CV)0.49016421
Kurtosis5.0259464
Mean16.437186
Median Absolute Deviation (MAD)5
Skewness1.9545026
Sum3271
Variance64.913964
MonotonicityNot monotonic
2023-12-10T15:36:17.553152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10 64
32.2%
15 54
27.1%
14 15
 
7.5%
29 11
 
5.5%
21 10
 
5.0%
26 10
 
5.0%
30 5
 
2.5%
11 4
 
2.0%
25 3
 
1.5%
19 3
 
1.5%
Other values (12) 20
 
10.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 64
32.2%
11 4
 
2.0%
12 2
 
1.0%
13 1
 
0.5%
14 15
 
7.5%
15 54
27.1%
16 1
 
0.5%
19 3
 
1.5%
ValueCountFrequency (%)
52 2
 
1.0%
50 2
 
1.0%
31 2
 
1.0%
30 5
2.5%
29 11
5.5%
28 1
 
0.5%
26 10
5.0%
25 3
 
1.5%
24 2
 
1.0%
23 1
 
0.5%

12.4
Real number (ℝ)

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.030151
Minimum7
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:17.860102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12
Q113
median15
Q319.5
95-th percentile20
Maximum29
Range22
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation3.8361775
Coefficient of variation (CV)0.23931013
Kurtosis0.73107896
Mean16.030151
Median Absolute Deviation (MAD)2
Skewness0.73258052
Sum3190
Variance14.716258
MonotonicityNot monotonic
2023-12-10T15:36:18.035700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
13 65
32.7%
20 43
21.6%
19 19
 
9.5%
12 14
 
7.0%
14 13
 
6.5%
16 12
 
6.0%
18 7
 
3.5%
15 7
 
3.5%
17 7
 
3.5%
25 3
 
1.5%
Other values (5) 9
 
4.5%
ValueCountFrequency (%)
7 2
 
1.0%
9 1
 
0.5%
10 2
 
1.0%
12 14
 
7.0%
13 65
32.7%
14 13
 
6.5%
15 7
 
3.5%
16 12
 
6.0%
17 7
 
3.5%
18 7
 
3.5%
ValueCountFrequency (%)
29 2
 
1.0%
28 2
 
1.0%
25 3
 
1.5%
20 43
21.6%
19 19
9.5%
18 7
 
3.5%
17 7
 
3.5%
16 12
 
6.0%
15 7
 
3.5%
14 13
 
6.5%

8.5
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.919598
Minimum5
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:18.200102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q114.5
median22
Q333
95-th percentile34
Maximum42
Range37
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation9.492345
Coefficient of variation (CV)0.41415844
Kurtosis-1.1327011
Mean22.919598
Median Absolute Deviation (MAD)11
Skewness-0.15891975
Sum4561
Variance90.104614
MonotonicityNot monotonic
2023-12-10T15:36:18.393634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
34 43
21.6%
21 30
15.1%
22 17
 
8.5%
11 17
 
8.5%
23 17
 
8.5%
8 12
 
6.0%
10 11
 
5.5%
33 11
 
5.5%
32 8
 
4.0%
30 7
 
3.5%
Other values (10) 26
13.1%
ValueCountFrequency (%)
5 2
 
1.0%
6 1
 
0.5%
8 12
6.0%
9 5
 
2.5%
10 11
5.5%
11 17
8.5%
12 2
 
1.0%
17 2
 
1.0%
19 4
 
2.0%
20 2
 
1.0%
ValueCountFrequency (%)
42 3
 
1.5%
34 43
21.6%
33 11
 
5.5%
32 8
 
4.0%
30 7
 
3.5%
25 1
 
0.5%
24 4
 
2.0%
23 17
 
8.5%
22 17
 
8.5%
21 30
15.1%

33.2
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.974874
Minimum12
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:18.602891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115
median23
Q332
95-th percentile45
Maximum79
Range67
Interquartile range (IQR)17

Descriptive statistics

Standard deviation12.32573
Coefficient of variation (CV)0.49352519
Kurtosis5.0489482
Mean24.974874
Median Absolute Deviation (MAD)8
Skewness1.9372051
Sum4970
Variance151.92361
MonotonicityNot monotonic
2023-12-10T15:36:18.811288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
15 62
31.2%
23 54
27.1%
44 11
 
5.5%
22 8
 
4.0%
32 7
 
3.5%
39 6
 
3.0%
16 6
 
3.0%
45 5
 
2.5%
33 5
 
2.5%
40 4
 
2.0%
Other values (15) 31
15.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
15 62
31.2%
16 6
 
3.0%
17 1
 
0.5%
19 2
 
1.0%
20 3
 
1.5%
21 4
 
2.0%
22 8
 
4.0%
23 54
27.1%
ValueCountFrequency (%)
79 2
 
1.0%
77 2
 
1.0%
47 2
 
1.0%
45 5
2.5%
44 11
5.5%
43 1
 
0.5%
40 4
 
2.0%
39 6
3.0%
38 3
 
1.5%
37 2
 
1.0%

26.2
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.668342
Minimum8
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:19.023128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q325
95-th percentile35
Maximum61
Range53
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.8134392
Coefficient of variation (CV)0.52567279
Kurtosis4.5260913
Mean18.668342
Median Absolute Deviation (MAD)5
Skewness1.8737947
Sum3715
Variance96.303589
MonotonicityNot monotonic
2023-12-10T15:36:19.231532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11 52
26.1%
17 43
21.6%
16 19
 
9.5%
10 14
 
7.0%
34 11
 
5.5%
25 10
 
5.0%
15 8
 
4.0%
31 6
 
3.0%
30 5
 
2.5%
35 5
 
2.5%
Other values (13) 26
13.1%
ValueCountFrequency (%)
8 2
 
1.0%
10 14
 
7.0%
11 52
26.1%
12 4
 
2.0%
13 1
 
0.5%
14 1
 
0.5%
15 8
 
4.0%
16 19
 
9.5%
17 43
21.6%
19 1
 
0.5%
ValueCountFrequency (%)
61 2
 
1.0%
59 2
 
1.0%
36 2
 
1.0%
35 5
2.5%
34 11
5.5%
33 1
 
0.5%
31 6
3.0%
30 5
2.5%
29 3
 
1.5%
28 2
 
1.0%

21.2
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.653266
Minimum6
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:19.456913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q18
median11
Q320
95-th percentile28
Maximum49
Range43
Interquartile range (IQR)12

Descriptive statistics

Standard deviation8.5301235
Coefficient of variation (CV)0.62476797
Kurtosis3.847921
Mean13.653266
Median Absolute Deviation (MAD)4
Skewness1.8441342
Sum2717
Variance72.763007
MonotonicityNot monotonic
2023-12-10T15:36:19.640853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
11 62
31.2%
7 47
23.6%
8 23
 
11.6%
20 10
 
5.0%
28 10
 
5.0%
27 7
 
3.5%
10 7
 
3.5%
24 7
 
3.5%
25 6
 
3.0%
14 3
 
1.5%
Other values (10) 17
 
8.5%
ValueCountFrequency (%)
6 2
 
1.0%
7 47
23.6%
8 23
 
11.6%
9 1
 
0.5%
10 7
 
3.5%
11 62
31.2%
12 2
 
1.0%
14 3
 
1.5%
16 1
 
0.5%
20 10
 
5.0%
ValueCountFrequency (%)
49 2
 
1.0%
48 2
 
1.0%
29 2
 
1.0%
28 10
5.0%
27 7
3.5%
25 6
3.0%
24 7
3.5%
23 2
 
1.0%
22 1
 
0.5%
21 2
 
1.0%

11.4
Real number (ℝ)

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.095477
Minimum6
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:19.848381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q110
median13
Q315.5
95-th percentile16
Maximum26
Range20
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.2201904
Coefficient of variation (CV)0.24590095
Kurtosis2.6935488
Mean13.095477
Median Absolute Deviation (MAD)3
Skewness1.0589023
Sum2606
Variance10.369626
MonotonicityNot monotonic
2023-12-10T15:36:20.068835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
10 48
24.1%
16 43
21.6%
11 32
16.1%
15 26
13.1%
14 19
 
9.5%
13 10
 
5.0%
12 7
 
3.5%
20 3
 
1.5%
8 3
 
1.5%
26 2
 
1.0%
Other values (3) 6
 
3.0%
ValueCountFrequency (%)
6 2
 
1.0%
8 3
 
1.5%
9 2
 
1.0%
10 48
24.1%
11 32
16.1%
12 7
 
3.5%
13 10
 
5.0%
14 19
 
9.5%
15 26
13.1%
16 43
21.6%
ValueCountFrequency (%)
26 2
 
1.0%
25 2
 
1.0%
20 3
 
1.5%
16 43
21.6%
15 26
13.1%
14 19
 
9.5%
13 10
 
5.0%
12 7
 
3.5%
11 32
16.1%
10 48
24.1%

8.6
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.135678
Minimum5
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:20.285356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q114.5
median22
Q333
95-th percentile34
Maximum43
Range38
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation9.5116454
Coefficient of variation (CV)0.41112455
Kurtosis-1.0714009
Mean23.135678
Median Absolute Deviation (MAD)11
Skewness-0.20058265
Sum4604
Variance90.471397
MonotonicityNot monotonic
2023-12-10T15:36:20.964884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
22 44
22.1%
34 43
21.6%
23 20
10.1%
11 17
 
8.5%
8 12
 
6.0%
10 11
 
5.5%
33 11
 
5.5%
32 8
 
4.0%
9 5
 
2.5%
20 4
 
2.0%
Other values (10) 24
12.1%
ValueCountFrequency (%)
5 2
 
1.0%
6 1
 
0.5%
8 12
6.0%
9 5
 
2.5%
10 11
5.5%
11 17
8.5%
12 2
 
1.0%
17 2
 
1.0%
19 2
 
1.0%
20 4
 
2.0%
ValueCountFrequency (%)
43 3
 
1.5%
34 43
21.6%
33 11
 
5.5%
32 8
 
4.0%
31 4
 
2.0%
30 3
 
1.5%
26 1
 
0.5%
24 4
 
2.0%
23 20
10.1%
22 44
22.1%

0.21
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
11
 
8
1
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

Length

2023-12-10T15:36:21.168825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:21.325856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

216
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.54271
Minimum74
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:21.508953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile93
Q197.5
median142
Q3207
95-th percentile350
Maximum566
Range492
Interquartile range (IQR)109.5

Descriptive statistics

Standard deviation96.657403
Coefficient of variation (CV)0.57348906
Kurtosis3.7822307
Mean168.54271
Median Absolute Deviation (MAD)45
Skewness1.8643488
Sum33540
Variance9342.6535
MonotonicityNot monotonic
2023-12-10T15:36:21.729417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
146 32
16.1%
93 21
 
10.6%
98 16
 
8.0%
95 12
 
6.0%
142 11
 
5.5%
94 11
 
5.5%
147 11
 
5.5%
137 8
 
4.0%
339 6
 
3.0%
277 4
 
2.0%
Other values (33) 67
33.7%
ValueCountFrequency (%)
74 2
 
1.0%
85 2
 
1.0%
93 21
10.6%
94 11
5.5%
95 12
6.0%
97 2
 
1.0%
98 16
8.0%
99 2
 
1.0%
105 4
 
2.0%
111 1
 
0.5%
ValueCountFrequency (%)
566 2
 
1.0%
548 2
 
1.0%
362 2
 
1.0%
352 2
 
1.0%
350 3
1.5%
344 1
 
0.5%
342 4
2.0%
339 6
3.0%
333 1
 
0.5%
284 2
 
1.0%

309
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.88442
Minimum72
Maximum811
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:21.962941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile89
Q194
median141
Q3296
95-th percentile502
Maximum811
Range739
Interquartile range (IQR)202

Descriptive statistics

Standard deviation158.04149
Coefficient of variation (CV)0.78672845
Kurtosis2.709936
Mean200.88442
Median Absolute Deviation (MAD)50
Skewness1.7509578
Sum39976
Variance24977.113
MonotonicityNot monotonic
2023-12-10T15:36:22.210600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
142 21
 
10.6%
90 20
 
10.1%
95 17
 
8.5%
89 12
 
6.0%
91 12
 
6.0%
141 11
 
5.5%
143 11
 
5.5%
138 11
 
5.5%
133 8
 
4.0%
485 6
 
3.0%
Other values (33) 70
35.2%
ValueCountFrequency (%)
72 2
 
1.0%
82 2
 
1.0%
89 12
6.0%
90 20
10.1%
91 12
6.0%
94 3
 
1.5%
95 17
8.5%
101 4
 
2.0%
107 1
 
0.5%
125 3
 
1.5%
ValueCountFrequency (%)
811 2
 
1.0%
786 2
 
1.0%
519 2
 
1.0%
504 2
 
1.0%
502 3
1.5%
493 1
 
0.5%
490 4
2.0%
485 6
3.0%
477 1
 
0.5%
408 2
 
1.0%

52
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.964824
Minimum15
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:22.443708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18
Q119
median29
Q350
95-th percentile84
Maximum136
Range121
Interquartile range (IQR)31

Descriptive statistics

Standard deviation24.967934
Coefficient of variation (CV)0.67545119
Kurtosis3.1626503
Mean36.964824
Median Absolute Deviation (MAD)10
Skewness1.8072973
Sum7356
Variance623.39775
MonotonicityNot monotonic
2023-12-10T15:36:22.669982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
29 43
21.6%
19 35
17.6%
20 17
 
8.5%
18 12
 
6.0%
28 11
 
5.5%
82 10
 
5.0%
27 8
 
4.0%
67 8
 
4.0%
26 7
 
3.5%
51 6
 
3.0%
Other values (21) 42
21.1%
ValueCountFrequency (%)
15 2
 
1.0%
17 2
 
1.0%
18 12
 
6.0%
19 35
17.6%
20 17
8.5%
21 4
 
2.0%
22 1
 
0.5%
26 7
 
3.5%
27 8
 
4.0%
28 11
 
5.5%
ValueCountFrequency (%)
136 2
 
1.0%
132 2
 
1.0%
87 2
 
1.0%
85 2
 
1.0%
84 3
 
1.5%
83 1
 
0.5%
82 10
5.0%
80 1
 
0.5%
69 2
 
1.0%
67 8
4.0%

51.1
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.79397
Minimum12
Maximum134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:22.870423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q115
median23
Q349
95-th percentile83
Maximum134
Range122
Interquartile range (IQR)34

Descriptive statistics

Standard deviation26.238471
Coefficient of variation (CV)0.80010047
Kurtosis2.6302009
Mean32.79397
Median Absolute Deviation (MAD)8
Skewness1.7372458
Sum6526
Variance688.45734
MonotonicityNot monotonic
2023-12-10T15:36:23.079969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
15 43
21.6%
23 43
21.6%
14 21
10.6%
21 12
 
6.0%
22 11
 
5.5%
65 6
 
3.0%
50 6
 
3.0%
80 6
 
3.0%
83 5
 
2.5%
81 5
 
2.5%
Other values (19) 41
20.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
14 21
10.6%
15 43
21.6%
16 4
 
2.0%
17 1
 
0.5%
20 3
 
1.5%
21 12
 
6.0%
22 11
 
5.5%
23 43
21.6%
ValueCountFrequency (%)
134 2
 
1.0%
129 2
 
1.0%
85 2
 
1.0%
83 5
2.5%
81 5
2.5%
80 6
3.0%
79 1
 
0.5%
67 2
 
1.0%
66 4
2.0%
65 6
3.0%

54
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.809045
Minimum11
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:23.341781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median21
Q351
95-th percentile87
Maximum140
Range129
Interquartile range (IQR)37

Descriptive statistics

Standard deviation28.360837
Coefficient of variation (CV)0.86442129
Kurtosis2.4198015
Mean32.809045
Median Absolute Deviation (MAD)7
Skewness1.7145854
Sum6529
Variance804.33709
MonotonicityNot monotonic
2023-12-10T15:36:23.532809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
21 54
27.1%
14 52
26.1%
13 12
 
6.0%
69 8
 
4.0%
20 8
 
4.0%
19 7
 
3.5%
84 6
 
3.0%
52 6
 
3.0%
85 5
 
2.5%
87 5
 
2.5%
Other values (19) 36
18.1%
ValueCountFrequency (%)
11 2
 
1.0%
12 2
 
1.0%
13 12
 
6.0%
14 52
26.1%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
20 8
 
4.0%
21 54
27.1%
27 3
 
1.5%
ValueCountFrequency (%)
140 2
 
1.0%
136 2
 
1.0%
90 2
 
1.0%
87 5
2.5%
85 5
2.5%
84 6
3.0%
83 1
 
0.5%
71 2
 
1.0%
69 8
4.0%
68 2
 
1.0%

35
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.909548
Minimum14
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:23.740214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile18
Q118
median27
Q334
95-th percentile57
Maximum92
Range78
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.642951
Coefficient of variation (CV)0.48957448
Kurtosis4.3766601
Mean29.909548
Median Absolute Deviation (MAD)8
Skewness1.9037478
Sum5952
Variance214.41602
MonotonicityNot monotonic
2023-12-10T15:36:23.958583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
18 47
23.6%
28 43
21.6%
19 17
 
8.5%
27 11
 
5.5%
34 9
 
4.5%
26 8
 
4.0%
45 8
 
4.0%
25 7
 
3.5%
55 6
 
3.0%
35 6
 
3.0%
Other values (16) 37
18.6%
ValueCountFrequency (%)
14 2
 
1.0%
16 2
 
1.0%
18 47
23.6%
19 17
 
8.5%
20 4
 
2.0%
21 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
25 7
 
3.5%
26 8
 
4.0%
ValueCountFrequency (%)
92 2
 
1.0%
89 2
 
1.0%
59 2
 
1.0%
57 5
2.5%
56 5
2.5%
55 6
3.0%
54 1
 
0.5%
46 4
2.0%
45 8
4.0%
44 3
 
1.5%

24.6
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.904523
Minimum15
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:24.183461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile24
Q130
median33
Q346
95-th percentile47
Maximum63
Range48
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.3081874
Coefficient of variation (CV)0.25222349
Kurtosis-0.31257844
Mean36.904523
Median Absolute Deviation (MAD)6
Skewness0.42513582
Sum7344
Variance86.642353
MonotonicityNot monotonic
2023-12-10T15:36:24.470888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
47 43
21.6%
30 36
18.1%
31 30
15.1%
29 12
 
6.0%
24 11
 
5.5%
45 11
 
5.5%
38 10
 
5.0%
44 8
 
4.0%
39 6
 
3.0%
41 5
 
2.5%
Other values (13) 27
13.6%
ValueCountFrequency (%)
15 1
 
0.5%
16 1
 
0.5%
20 1
 
0.5%
23 3
 
1.5%
24 11
 
5.5%
27 2
 
1.0%
29 12
 
6.0%
30 36
18.1%
31 30
15.1%
32 2
 
1.0%
ValueCountFrequency (%)
63 2
 
1.0%
61 2
 
1.0%
59 3
 
1.5%
47 43
21.6%
45 11
 
5.5%
44 8
 
4.0%
42 4
 
2.0%
41 5
 
2.5%
39 6
 
3.0%
38 10
 
5.0%

103
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.969849
Minimum16
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:24.767205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q121
median32
Q399
95-th percentile168
Maximum271
Range255
Interquartile range (IQR)78

Descriptive statistics

Standard deviation57.667184
Coefficient of variation (CV)0.99477892
Kurtosis2.0935161
Mean57.969849
Median Absolute Deviation (MAD)11
Skewness1.6657983
Sum11536
Variance3325.5041
MonotonicityNot monotonic
2023-12-10T15:36:25.031347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
32 43
21.6%
20 32
16.1%
21 30
15.1%
31 11
 
5.5%
30 8
 
4.0%
162 6
 
3.0%
101 6
 
3.0%
133 6
 
3.0%
23 4
 
2.0%
29 4
 
2.0%
Other values (25) 49
24.6%
ValueCountFrequency (%)
16 2
 
1.0%
19 2
 
1.0%
20 32
16.1%
21 30
15.1%
22 2
 
1.0%
23 4
 
2.0%
24 1
 
0.5%
28 3
 
1.5%
29 4
 
2.0%
30 8
 
4.0%
ValueCountFrequency (%)
271 2
 
1.0%
263 2
 
1.0%
174 2
 
1.0%
169 2
 
1.0%
168 3
1.5%
165 1
 
0.5%
164 4
2.0%
162 6
3.0%
160 1
 
0.5%
136 2
 
1.0%

77.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.58794
Minimum12
Maximum201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:25.239461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile15
Q115
median23
Q373
95-th percentile124
Maximum201
Range189
Interquartile range (IQR)58

Descriptive statistics

Standard deviation42.874742
Coefficient of variation (CV)1.0067344
Kurtosis2.0868079
Mean42.58794
Median Absolute Deviation (MAD)8
Skewness1.6655022
Sum8475
Variance1838.2435
MonotonicityNot monotonic
2023-12-10T15:36:25.475647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
15 62
31.2%
23 43
21.6%
22 19
 
9.5%
75 6
 
3.0%
16 6
 
3.0%
120 6
 
3.0%
98 5
 
2.5%
21 4
 
2.0%
121 4
 
2.0%
99 4
 
2.0%
Other values (22) 40
20.1%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
15 62
31.2%
16 6
 
3.0%
17 1
 
0.5%
20 3
 
1.5%
21 4
 
2.0%
22 19
 
9.5%
23 43
21.6%
29 3
 
1.5%
ValueCountFrequency (%)
201 2
 
1.0%
195 2
 
1.0%
129 2
 
1.0%
125 2
 
1.0%
124 3
1.5%
122 1
 
0.5%
121 4
2.0%
120 6
3.0%
118 1
 
0.5%
101 2
 
1.0%

66
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.190955
Minimum8
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:25.689161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median16
Q363
95-th percentile107
Maximum172
Range164
Interquartile range (IQR)53

Descriptive statistics

Standard deviation38.028747
Coefficient of variation (CV)1.1122458
Kurtosis1.8488806
Mean34.190955
Median Absolute Deviation (MAD)6
Skewness1.6272858
Sum6804
Variance1446.1856
MonotonicityNot monotonic
2023-12-10T15:36:25.919451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
10 47
23.6%
16 43
21.6%
11 21
10.6%
15 19
9.5%
14 7
 
3.5%
64 6
 
3.0%
103 6
 
3.0%
84 5
 
2.5%
107 5
 
2.5%
104 4
 
2.0%
Other values (20) 36
18.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 47
23.6%
11 21
10.6%
12 1
 
0.5%
14 7
 
3.5%
15 19
9.5%
16 43
21.6%
20 3
 
1.5%
41 1
 
0.5%
ValueCountFrequency (%)
172 2
 
1.0%
167 2
 
1.0%
110 2
 
1.0%
107 5
2.5%
105 1
 
0.5%
104 4
2.0%
103 6
3.0%
101 1
 
0.5%
87 2
 
1.0%
85 4
2.0%

0.22
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
33 
27
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row27
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
27 8
 
4.0%

Length

2023-12-10T15:36:26.159935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:26.346030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
27 8
 
4.0%

37
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.180905
Minimum11
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:26.521860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q336
95-th percentile60
Maximum98
Range87
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.644281
Coefficient of variation (CV)0.64914252
Kurtosis3.3617348
Mean27.180905
Median Absolute Deviation (MAD)8
Skewness1.8302624
Sum5409
Variance311.32064
MonotonicityNot monotonic
2023-12-10T15:36:26.718060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
14 44
22.1%
22 43
21.6%
15 20
10.1%
21 19
9.5%
59 11
 
5.5%
48 9
 
4.5%
36 9
 
4.5%
16 4
 
2.0%
20 4
 
2.0%
47 4
 
2.0%
Other values (17) 32
16.1%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
10.1%
16 4
 
2.0%
17 1
 
0.5%
19 3
 
1.5%
20 4
 
2.0%
21 19
9.5%
22 43
21.6%
ValueCountFrequency (%)
98 2
 
1.0%
95 2
 
1.0%
63 2
 
1.0%
61 2
 
1.0%
60 3
 
1.5%
59 11
5.5%
58 1
 
0.5%
49 2
 
1.0%
48 9
4.5%
47 4
 
2.0%

26.3
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.296482
Minimum16
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:26.932562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile26
Q130
median34
Q346.5
95-th percentile48
Maximum69
Range53
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation9.5376732
Coefficient of variation (CV)0.24904828
Kurtosis0.32989807
Mean38.296482
Median Absolute Deviation (MAD)8
Skewness0.55783117
Sum7621
Variance90.96721
MonotonicityNot monotonic
2023-12-10T15:36:27.137441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
48 32
16.1%
30 32
16.1%
32 21
10.6%
34 13
 
6.5%
31 12
 
6.0%
46 11
 
5.5%
47 11
 
5.5%
26 9
 
4.5%
43 9
 
4.5%
42 8
 
4.0%
Other values (15) 41
20.6%
ValueCountFrequency (%)
16 1
 
0.5%
17 1
 
0.5%
22 1
 
0.5%
24 2
 
1.0%
25 3
 
1.5%
26 9
 
4.5%
28 2
 
1.0%
30 32
16.1%
31 12
 
6.0%
32 21
10.6%
ValueCountFrequency (%)
69 2
 
1.0%
67 2
 
1.0%
60 3
 
1.5%
48 32
16.1%
47 11
 
5.5%
46 11
 
5.5%
45 8
 
4.0%
44 2
 
1.0%
43 9
 
4.5%
42 8
 
4.0%

48.1
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.9598
Minimum24
Maximum590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:27.359607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile46
Q1168
median301
Q3454
95-th percentile469
Maximum590
Range566
Interquartile range (IQR)286

Descriptive statistics

Standard deviation155.50621
Coefficient of variation (CV)0.52015758
Kurtosis-1.0036373
Mean298.9598
Median Absolute Deviation (MAD)153
Skewness-0.42952488
Sum59493
Variance24182.18
MonotonicityNot monotonic
2023-12-10T15:36:27.578527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
313 15
 
7.5%
295 12
 
6.0%
465 11
 
5.5%
454 11
 
5.5%
466 11
 
5.5%
469 11
 
5.5%
47 11
 
5.5%
298 11
 
5.5%
301 10
 
5.0%
46 10
 
5.0%
Other values (27) 86
43.2%
ValueCountFrequency (%)
24 3
 
1.5%
46 10
5.0%
47 11
5.5%
48 7
3.5%
50 3
 
1.5%
53 1
 
0.5%
68 1
 
0.5%
100 1
 
0.5%
118 3
 
1.5%
121 4
 
2.0%
ValueCountFrequency (%)
590 3
 
1.5%
469 11
5.5%
467 10
5.0%
466 11
5.5%
465 11
5.5%
454 11
5.5%
438 8
4.0%
421 4
 
2.0%
413 3
 
1.5%
353 1
 
0.5%

79
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.98995
Minimum38
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:27.835212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile76
Q1215.5
median299
Q3439
95-th percentile453
Maximum570
Range532
Interquartile range (IQR)223.5

Descriptive statistics

Standard deviation135.33628
Coefficient of variation (CV)0.44666921
Kurtosis-0.82362323
Mean302.98995
Median Absolute Deviation (MAD)124
Skewness-0.41759295
Sum60295
Variance18315.909
MonotonicityNot monotonic
2023-12-10T15:36:28.086672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
451 21
 
10.6%
285 12
 
6.0%
302 11
 
5.5%
76 11
 
5.5%
439 11
 
5.5%
453 11
 
5.5%
450 11
 
5.5%
292 10
 
5.0%
288 9
 
4.5%
286 9
 
4.5%
Other values (34) 83
41.7%
ValueCountFrequency (%)
38 1
 
0.5%
40 2
 
1.0%
74 1
 
0.5%
75 3
 
1.5%
76 11
5.5%
77 6
3.0%
78 5
2.5%
79 2
 
1.0%
81 2
 
1.0%
82 1
 
0.5%
ValueCountFrequency (%)
570 3
 
1.5%
453 11
5.5%
451 21
10.6%
450 11
5.5%
439 11
5.5%
423 8
 
4.0%
407 4
 
2.0%
399 3
 
1.5%
355 2
 
1.0%
345 2
 
1.0%

12.5
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.361809
Minimum6
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:28.375224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q138.5
median60
Q390
95-th percentile93
Maximum117
Range111
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation29.906753
Coefficient of variation (CV)0.4954582
Kurtosis-0.94544351
Mean60.361809
Median Absolute Deviation (MAD)30
Skewness-0.42366009
Sum12012
Variance894.41389
MonotonicityNot monotonic
2023-12-10T15:36:28.617275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
93 43
21.6%
59 32
16.1%
11 21
10.6%
62 17
 
8.5%
60 12
 
6.0%
90 11
 
5.5%
12 10
 
5.0%
87 8
 
4.0%
29 7
 
3.5%
30 4
 
2.0%
Other values (16) 34
17.1%
ValueCountFrequency (%)
6 3
 
1.5%
11 21
10.6%
12 10
5.0%
13 1
 
0.5%
16 1
 
0.5%
24 1
 
0.5%
28 2
 
1.0%
29 7
 
3.5%
30 4
 
2.0%
47 2
 
1.0%
ValueCountFrequency (%)
117 3
 
1.5%
93 43
21.6%
90 11
 
5.5%
87 8
 
4.0%
84 4
 
2.0%
82 3
 
1.5%
70 1
 
0.5%
66 4
 
2.0%
63 2
 
1.0%
62 17
 
8.5%

12.6
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.613065
Minimum6
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:28.831680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q134.5
median48
Q371
95-th percentile73
Maximum92
Range86
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.906967
Coefficient of variation (CV)0.45063948
Kurtosis-0.8246884
Mean48.613065
Median Absolute Deviation (MAD)20
Skewness-0.42004252
Sum9674
Variance479.91518
MonotonicityNot monotonic
2023-12-10T15:36:29.022816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
46 32
16.1%
12 28
14.1%
72 22
11.1%
73 21
10.6%
49 17
8.5%
47 12
 
6.0%
71 11
 
5.5%
31 8
 
4.0%
68 8
 
4.0%
65 4
 
2.0%
Other values (15) 36
18.1%
ValueCountFrequency (%)
6 3
 
1.5%
12 28
14.1%
13 4
 
2.0%
17 1
 
0.5%
25 1
 
0.5%
30 3
 
1.5%
31 8
 
4.0%
32 2
 
1.0%
37 2
 
1.0%
42 2
 
1.0%
ValueCountFrequency (%)
92 3
 
1.5%
73 21
10.6%
72 22
11.1%
71 11
5.5%
68 8
 
4.0%
65 4
 
2.0%
64 3
 
1.5%
56 2
 
1.0%
55 1
 
0.5%
54 2
 
1.0%

11.5
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.40201
Minimum6
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:29.212453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q131.5
median45
Q366
95-th percentile68
Maximum86
Range80
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.581427
Coefficient of variation (CV)0.45331533
Kurtosis-0.83803158
Mean45.40201
Median Absolute Deviation (MAD)19
Skewness-0.41058578
Sum9035
Variance423.59515
MonotonicityNot monotonic
2023-12-10T15:36:29.428872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
68 43
21.6%
43 32
16.1%
11 28
14.1%
45 14
 
7.0%
44 12
 
6.0%
66 11
 
5.5%
29 10
 
5.0%
64 8
 
4.0%
46 6
 
3.0%
12 4
 
2.0%
Other values (13) 31
15.6%
ValueCountFrequency (%)
6 3
 
1.5%
11 28
14.1%
12 4
 
2.0%
16 1
 
0.5%
24 1
 
0.5%
28 3
 
1.5%
29 10
 
5.0%
34 2
 
1.0%
39 2
 
1.0%
43 32
16.1%
ValueCountFrequency (%)
86 3
 
1.5%
68 43
21.6%
66 11
 
5.5%
64 8
 
4.0%
61 4
 
2.0%
60 3
 
1.5%
52 2
 
1.0%
51 1
 
0.5%
50 2
 
1.0%
48 4
 
2.0%

8.7
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.055276
Minimum4
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:29.650921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q127
median57
Q386
95-th percentile89
Maximum112
Range108
Interquartile range (IQR)59

Descriptive statistics

Standard deviation30.04663
Coefficient of variation (CV)0.53601787
Kurtosis-1.0432577
Mean56.055276
Median Absolute Deviation (MAD)29
Skewness-0.4304704
Sum11155
Variance902.79996
MonotonicityNot monotonic
2023-12-10T15:36:29.841211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
56 32
16.1%
88 32
16.1%
8 30
15.1%
59 17
8.5%
57 12
 
6.0%
89 11
 
5.5%
86 11
 
5.5%
20 10
 
5.0%
83 8
 
4.0%
63 4
 
2.0%
Other values (16) 32
16.1%
ValueCountFrequency (%)
4 3
 
1.5%
7 1
 
0.5%
8 30
15.1%
9 1
 
0.5%
11 1
 
0.5%
16 1
 
0.5%
19 3
 
1.5%
20 10
 
5.0%
34 2
 
1.0%
36 2
 
1.0%
ValueCountFrequency (%)
112 3
 
1.5%
89 11
 
5.5%
88 32
16.1%
86 11
 
5.5%
83 8
 
4.0%
80 4
 
2.0%
78 3
 
1.5%
67 1
 
0.5%
63 4
 
2.0%
60 2
 
1.0%

5
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.834171
Minimum2
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:30.033707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q117.5
median96
Q3145
95-th percentile149
Maximum188
Range186
Interquartile range (IQR)127.5

Descriptive statistics

Standard deviation55.561938
Coefficient of variation (CV)0.61168542
Kurtosis-1.1375449
Mean90.834171
Median Absolute Deviation (MAD)52
Skewness-0.49020693
Sum18076
Variance3087.1289
MonotonicityNot monotonic
2023-12-10T15:36:30.263332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
149 32
16.1%
5 31
15.6%
94 21
10.6%
100 17
8.5%
96 12
 
6.0%
95 11
 
5.5%
148 11
 
5.5%
145 11
 
5.5%
13 10
 
5.0%
140 8
 
4.0%
Other values (17) 35
17.6%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
5 31
15.6%
6 1
 
0.5%
7 1
 
0.5%
10 1
 
0.5%
12 3
 
1.5%
13 10
 
5.0%
22 2
 
1.0%
23 2
 
1.0%
ValueCountFrequency (%)
188 3
 
1.5%
149 32
16.1%
148 11
 
5.5%
145 11
 
5.5%
140 8
 
4.0%
134 4
 
2.0%
132 3
 
1.5%
112 1
 
0.5%
106 4
 
2.0%
100 17
8.5%

23.8
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.763819
Minimum11
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:30.417794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile22
Q157.5
median68
Q399
95-th percentile103
Maximum129
Range118
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation28.981351
Coefficient of variation (CV)0.4095504
Kurtosis-0.75344055
Mean70.763819
Median Absolute Deviation (MAD)28
Skewness-0.40881611
Sum14082
Variance839.91868
MonotonicityNot monotonic
2023-12-10T15:36:31.050150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
102 34
17.1%
65 32
16.1%
22 25
12.6%
69 17
8.5%
99 13
 
6.5%
66 12
 
6.0%
103 11
 
5.5%
57 8
 
4.0%
96 8
 
4.0%
23 4
 
2.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
11 3
 
1.5%
21 1
 
0.5%
22 25
12.6%
23 4
 
2.0%
24 1
 
0.5%
25 1
 
0.5%
32 1
 
0.5%
47 1
 
0.5%
52 2
 
1.0%
55 3
 
1.5%
ValueCountFrequency (%)
129 3
 
1.5%
103 11
 
5.5%
102 34
17.1%
99 13
 
6.5%
96 8
 
4.0%
92 4
 
2.0%
90 3
 
1.5%
77 1
 
0.5%
73 4
 
2.0%
69 17
8.5%

0.23
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
15
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
15 8
 
4.0%

Length

2023-12-10T15:36:31.257809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:31.418851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
15 8
 
4.0%

19.2
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.708543
Minimum9
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:31.585886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile18
Q146
median49
Q372
95-th percentile74
Maximum93
Range84
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.246348
Coefficient of variation (CV)0.39154746
Kurtosis-0.72041286
Mean51.708543
Median Absolute Deviation (MAD)20
Skewness-0.35230457
Sum10290
Variance409.91462
MonotonicityNot monotonic
2023-12-10T15:36:31.803801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
47 36
18.1%
73 32
16.1%
18 26
13.1%
49 18
9.0%
46 16
8.0%
74 11
 
5.5%
71 11
 
5.5%
69 8
 
4.0%
19 5
 
2.5%
52 4
 
2.0%
Other values (15) 32
16.1%
ValueCountFrequency (%)
9 3
 
1.5%
18 26
13.1%
19 5
 
2.5%
20 1
 
0.5%
26 1
 
0.5%
37 2
 
1.0%
38 1
 
0.5%
43 2
 
1.0%
45 3
 
1.5%
46 16
8.0%
ValueCountFrequency (%)
93 3
 
1.5%
84 2
 
1.0%
81 2
 
1.0%
74 11
 
5.5%
73 32
16.1%
71 11
 
5.5%
69 8
 
4.0%
66 4
 
2.0%
65 3
 
1.5%
56 1
 
0.5%

16.1
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.020101
Minimum8
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:32.015241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile16
Q132
median34
Q349.5
95-th percentile50
Maximum74
Range66
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.459614
Coefficient of variation (CV)0.36357584
Kurtosis-0.19368153
Mean37.020101
Median Absolute Deviation (MAD)13
Skewness-0.02819376
Sum7367
Variance181.16121
MonotonicityNot monotonic
2023-12-10T15:36:32.227213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
32 44
22.1%
50 43
21.6%
16 28
14.1%
34 18
9.0%
49 11
 
5.5%
47 8
 
4.0%
42 6
 
3.0%
41 4
 
2.0%
36 4
 
2.0%
45 4
 
2.0%
Other values (13) 29
14.6%
ValueCountFrequency (%)
8 3
 
1.5%
16 28
14.1%
17 3
 
1.5%
18 1
 
0.5%
23 1
 
0.5%
25 2
 
1.0%
29 2
 
1.0%
32 44
22.1%
33 3
 
1.5%
34 18
9.0%
ValueCountFrequency (%)
74 2
 
1.0%
72 2
 
1.0%
63 3
 
1.5%
50 43
21.6%
49 11
 
5.5%
47 8
 
4.0%
45 4
 
2.0%
44 3
 
1.5%
42 6
 
3.0%
41 4
 
2.0%

13.5
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.211055
Minimum6
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:32.422910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile12
Q134.5
median47
Q368
95-th percentile70
Maximum89
Range83
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation20.859939
Coefficient of variation (CV)0.44184437
Kurtosis-0.79820118
Mean47.211055
Median Absolute Deviation (MAD)19
Skewness-0.41618375
Sum9395
Variance435.13705
MonotonicityNot monotonic
2023-12-10T15:36:32.595138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
70 43
21.6%
45 23
11.6%
12 21
10.6%
44 21
10.6%
47 19
9.5%
68 11
 
5.5%
13 10
 
5.0%
32 8
 
4.0%
66 8
 
4.0%
50 4
 
2.0%
Other values (15) 31
15.6%
ValueCountFrequency (%)
6 3
 
1.5%
12 21
10.6%
13 10
5.0%
14 1
 
0.5%
18 1
 
0.5%
26 1
 
0.5%
31 3
 
1.5%
32 8
 
4.0%
33 2
 
1.0%
36 2
 
1.0%
ValueCountFrequency (%)
89 3
 
1.5%
70 43
21.6%
68 11
 
5.5%
66 8
 
4.0%
63 4
 
2.0%
62 3
 
1.5%
57 2
 
1.0%
56 2
 
1.0%
53 1
 
0.5%
50 4
 
2.0%

8.8
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.894472
Minimum4
Maximum191
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:32.778223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q129.5
median98
Q3147
95-th percentile152
Maximum191
Range187
Interquartile range (IQR)117.5

Descriptive statistics

Standard deviation54.609948
Coefficient of variation (CV)0.58160983
Kurtosis-1.1087764
Mean93.894472
Median Absolute Deviation (MAD)53
Skewness-0.47324681
Sum18685
Variance2982.2464
MonotonicityNot monotonic
2023-12-10T15:36:33.033764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8 28
14.1%
151 22
11.1%
152 21
10.6%
96 21
10.6%
102 17
8.5%
98 12
 
6.0%
97 11
 
5.5%
147 11
 
5.5%
142 8
 
4.0%
21 8
 
4.0%
Other values (17) 40
20.1%
ValueCountFrequency (%)
4 3
 
1.5%
8 28
14.1%
9 4
 
2.0%
12 1
 
0.5%
17 1
 
0.5%
20 3
 
1.5%
21 8
 
4.0%
22 2
 
1.0%
37 2
 
1.0%
38 2
 
1.0%
ValueCountFrequency (%)
191 3
 
1.5%
152 21
10.6%
151 22
11.1%
147 11
5.5%
142 8
 
4.0%
137 4
 
2.0%
134 3
 
1.5%
115 1
 
0.5%
108 4
 
2.0%
102 17
8.5%

341
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.39698
Minimum0
Maximum341
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:33.286500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q1166
median176
Q3261
95-th percentile331
Maximum341
Range341
Interquartile range (IQR)95

Descriptive statistics

Standard deviation84.452295
Coefficient of variation (CV)0.44826776
Kurtosis-0.34348461
Mean188.39698
Median Absolute Deviation (MAD)75
Skewness-0.46608063
Sum37491
Variance7132.1901
MonotonicityNot monotonic
2023-12-10T15:36:33.503289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
262 21
 
10.6%
166 21
 
10.6%
176 17
 
8.5%
169 12
 
6.0%
26 12
 
6.0%
255 11
 
5.5%
261 11
 
5.5%
263 11
 
5.5%
167 9
 
4.5%
246 8
 
4.0%
Other values (26) 66
33.2%
ValueCountFrequency (%)
0 3
 
1.5%
26 12
6.0%
27 5
2.5%
28 2
 
1.0%
42 1
 
0.5%
44 1
 
0.5%
56 1
 
0.5%
98 3
 
1.5%
101 6
3.0%
102 2
 
1.0%
ValueCountFrequency (%)
341 2
 
1.0%
332 6
 
3.0%
331 3
 
1.5%
326 3
 
1.5%
263 11
5.5%
262 21
10.6%
261 11
5.5%
255 11
5.5%
246 8
 
4.0%
237 4
 
2.0%

548
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203.07538
Minimum0
Maximum548
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:33.748347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.9
Q1161
median170
Q3253.5
95-th percentile525
Maximum548
Range548
Interquartile range (IQR)92.5

Descriptive statistics

Standard deviation105.89279
Coefficient of variation (CV)0.52144572
Kurtosis3.2665364
Mean203.07538
Median Absolute Deviation (MAD)68
Skewness1.2751237
Sum40412
Variance11213.282
MonotonicityNot monotonic
2023-12-10T15:36:33.964748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
254 21
 
10.6%
162 15
 
7.5%
170 15
 
7.5%
164 12
 
6.0%
160 12
 
6.0%
247 11
 
5.5%
255 11
 
5.5%
253 11
 
5.5%
161 9
 
4.5%
238 8
 
4.0%
Other values (27) 74
37.2%
ValueCountFrequency (%)
0 3
1.5%
41 7
3.5%
42 5
2.5%
43 5
2.5%
45 2
 
1.0%
67 1
 
0.5%
70 1
 
0.5%
90 1
 
0.5%
129 2
 
1.0%
147 2
 
1.0%
ValueCountFrequency (%)
548 2
 
1.0%
534 6
 
3.0%
525 3
 
1.5%
321 3
 
1.5%
283 2
 
1.0%
274 2
 
1.0%
255 11
5.5%
254 21
10.6%
253 11
5.5%
247 11
5.5%

91.2
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.633166
Minimum0
Maximum91
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:34.180831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q133
median35
Q352
95-th percentile87
Maximum91
Range91
Interquartile range (IQR)19

Descriptive statistics

Standard deviation18.72127
Coefficient of variation (CV)0.47236374
Kurtosis1.0083981
Mean39.633166
Median Absolute Deviation (MAD)14
Skewness0.37126743
Sum7887
Variance350.48597
MonotonicityNot monotonic
2023-12-10T15:36:34.386529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
52 43
21.6%
33 32
16.1%
35 21
10.6%
7 19
9.5%
27 12
 
6.0%
34 12
 
6.0%
51 11
 
5.5%
49 8
 
4.0%
47 6
 
3.0%
88 6
 
3.0%
Other values (13) 29
14.6%
ValueCountFrequency (%)
0 3
 
1.5%
7 19
9.5%
11 1
 
0.5%
12 1
 
0.5%
15 1
 
0.5%
26 3
 
1.5%
27 12
 
6.0%
30 2
 
1.0%
33 32
16.1%
34 12
 
6.0%
ValueCountFrequency (%)
91 2
 
1.0%
88 6
 
3.0%
87 3
 
1.5%
66 3
 
1.5%
52 43
21.6%
51 11
 
5.5%
49 8
 
4.0%
47 6
 
3.0%
46 3
 
1.5%
45 2
 
1.0%

88.1
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.658291
Minimum0
Maximum88
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:34.613029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q126
median27
Q341
95-th percentile84
Maximum88
Range88
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.00546
Coefficient of variation (CV)0.52070881
Kurtosis3.256325
Mean32.658291
Median Absolute Deviation (MAD)11
Skewness1.2803886
Sum6499
Variance289.18568
MonotonicityNot monotonic
2023-12-10T15:36:34.856067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
26 52
26.1%
41 43
21.6%
27 22
11.1%
7 19
 
9.5%
40 11
 
5.5%
38 8
 
4.0%
86 6
 
3.0%
29 4
 
2.0%
37 4
 
2.0%
0 3
 
1.5%
Other values (13) 27
13.6%
ValueCountFrequency (%)
0 3
 
1.5%
7 19
 
9.5%
11 2
 
1.0%
14 1
 
0.5%
21 2
 
1.0%
24 2
 
1.0%
25 3
 
1.5%
26 52
26.1%
27 22
11.1%
29 4
 
2.0%
ValueCountFrequency (%)
88 2
 
1.0%
86 6
 
3.0%
84 3
 
1.5%
51 3
 
1.5%
45 2
 
1.0%
44 2
 
1.0%
41 43
21.6%
40 11
 
5.5%
38 8
 
4.0%
37 4
 
2.0%

79.1
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.180905
Minimum0
Maximum79
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:35.048339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q124
median26
Q338
95-th percentile76
Maximum79
Range79
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.411443
Coefficient of variation (CV)0.51063554
Kurtosis2.8133573
Mean30.180905
Median Absolute Deviation (MAD)10
Skewness1.1047796
Sum6006
Variance237.51256
MonotonicityNot monotonic
2023-12-10T15:36:35.239925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
38 43
21.6%
24 36
18.1%
6 19
9.5%
26 17
 
8.5%
25 15
 
7.5%
37 11
 
5.5%
23 9
 
4.5%
36 8
 
4.0%
34 7
 
3.5%
77 6
 
3.0%
Other values (13) 28
14.1%
ValueCountFrequency (%)
0 3
 
1.5%
6 19
9.5%
10 2
 
1.0%
13 1
 
0.5%
19 2
 
1.0%
22 2
 
1.0%
23 9
 
4.5%
24 36
18.1%
25 15
7.5%
26 17
8.5%
ValueCountFrequency (%)
79 2
 
1.0%
77 6
 
3.0%
76 3
 
1.5%
48 3
 
1.5%
41 2
 
1.0%
40 2
 
1.0%
38 43
21.6%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%

56.3
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.839196
Minimum0
Maximum63
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:35.456419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q131
median33
Q349
95-th percentile54
Maximum63
Range63
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.767704
Coefficient of variation (CV)0.45258517
Kurtosis-0.45411502
Mean34.839196
Median Absolute Deviation (MAD)15
Skewness-0.62682928
Sum6933
Variance248.62048
MonotonicityNot monotonic
2023-12-10T15:36:35.624124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
50 32
16.1%
32 23
11.6%
31 21
10.6%
33 20
10.1%
4 17
8.5%
49 11
 
5.5%
48 11
 
5.5%
17 10
 
5.0%
47 8
 
4.0%
54 6
 
3.0%
Other values (16) 40
20.1%
ValueCountFrequency (%)
0 3
 
1.5%
4 17
8.5%
5 2
 
1.0%
7 2
 
1.0%
9 1
 
0.5%
16 3
 
1.5%
17 10
5.0%
22 1
 
0.5%
25 2
 
1.0%
28 2
 
1.0%
ValueCountFrequency (%)
63 3
 
1.5%
56 2
 
1.0%
55 3
 
1.5%
54 6
 
3.0%
50 32
16.1%
49 11
 
5.5%
48 11
 
5.5%
47 8
 
4.0%
45 4
 
2.0%
44 3
 
1.5%

0.24
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
16
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

Length

2023-12-10T15:36:35.776871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:35.926790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

28.2
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.376884
Minimum0
Maximum106
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:36.090661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q127
median54
Q381
95-th percentile84
Maximum106
Range106
Interquartile range (IQR)54

Descriptive statistics

Standard deviation29.606573
Coefficient of variation (CV)0.56526029
Kurtosis-0.96357141
Mean52.376884
Median Absolute Deviation (MAD)27
Skewness-0.50083576
Sum10423
Variance876.54916
MonotonicityNot monotonic
2023-12-10T15:36:36.288365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
53 32
16.1%
84 32
16.1%
2 19
9.5%
56 19
9.5%
8 13
 
6.5%
54 12
 
6.0%
81 11
 
5.5%
83 11
 
5.5%
78 8
 
4.0%
27 6
 
3.0%
Other values (16) 36
18.1%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
9.5%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
8 13
6.5%
11 1
 
0.5%
14 4
 
2.0%
26 3
 
1.5%
27 6
 
3.0%
ValueCountFrequency (%)
106 3
 
1.5%
84 32
16.1%
83 11
 
5.5%
81 11
 
5.5%
78 8
 
4.0%
76 4
 
2.0%
74 3
 
1.5%
63 1
 
0.5%
60 4
 
2.0%
56 19
9.5%

214
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.472362
Minimum0
Maximum214
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:36.501325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16
Q136.5
median51
Q357
95-th percentile205
Maximum214
Range214
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation41.246095
Coefficient of variation (CV)0.75719308
Kurtosis8.3296521
Mean54.472362
Median Absolute Deviation (MAD)13
Skewness2.8360046
Sum10840
Variance1701.2404
MonotonicityNot monotonic
2023-12-10T15:36:36.707107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
57 32
16.1%
37 23
11.6%
36 21
 
10.6%
39 17
 
8.5%
16 12
 
6.0%
58 11
 
5.5%
56 11
 
5.5%
54 8
 
4.0%
17 5
 
2.5%
41 4
 
2.0%
Other values (23) 55
27.6%
ValueCountFrequency (%)
0 3
 
1.5%
16 12
6.0%
17 5
 
2.5%
18 2
 
1.0%
26 1
 
0.5%
27 1
 
0.5%
29 2
 
1.0%
33 2
 
1.0%
35 1
 
0.5%
36 21
10.6%
ValueCountFrequency (%)
214 2
1.0%
209 3
1.5%
208 3
1.5%
205 3
1.5%
111 2
1.0%
107 2
1.0%
83 1
 
0.5%
73 3
1.5%
65 2
1.0%
64 4
2.0%

133
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.145729
Minimum0
Maximum133
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:36.902315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q126
median36
Q341
95-th percentile128
Maximum133
Range133
Interquartile range (IQR)15

Descriptive statistics

Standard deviation25.358318
Coefficient of variation (CV)0.68267118
Kurtosis7.5295541
Mean37.145729
Median Absolute Deviation (MAD)8
Skewness2.6029681
Sum7392
Variance643.04431
MonotonicityNot monotonic
2023-12-10T15:36:37.130338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
41 43
21.6%
26 32
16.1%
40 17
 
8.5%
28 17
 
8.5%
27 15
 
7.5%
39 12
 
6.0%
10 12
 
6.0%
11 7
 
3.5%
130 6
 
3.0%
37 4
 
2.0%
Other values (16) 34
17.1%
ValueCountFrequency (%)
0 3
 
1.5%
10 12
 
6.0%
11 7
 
3.5%
16 1
 
0.5%
17 1
 
0.5%
21 2
 
1.0%
22 1
 
0.5%
24 2
 
1.0%
26 32
16.1%
27 15
7.5%
ValueCountFrequency (%)
133 2
 
1.0%
130 6
 
3.0%
128 3
 
1.5%
69 2
 
1.0%
67 2
 
1.0%
52 3
 
1.5%
51 1
 
0.5%
41 43
21.6%
40 17
 
8.5%
39 12
 
6.0%

96.1
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.809045
Minimum0
Maximum96
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:37.332134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q118
median25
Q328
95-th percentile92
Maximum96
Range96
Interquartile range (IQR)10

Descriptive statistics

Standard deviation18.337843
Coefficient of variation (CV)0.71052
Kurtosis7.8763162
Mean25.809045
Median Absolute Deviation (MAD)6
Skewness2.7035955
Sum5136
Variance336.27648
MonotonicityNot monotonic
2023-12-10T15:36:37.537239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
28 49
24.6%
18 44
22.1%
19 20
10.1%
27 12
 
6.0%
7 12
 
6.0%
26 8
 
4.0%
8 7
 
3.5%
25 7
 
3.5%
29 6
 
3.0%
20 4
 
2.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
0 3
 
1.5%
7 12
 
6.0%
8 7
 
3.5%
12 2
 
1.0%
14 2
 
1.0%
16 3
 
1.5%
18 44
22.1%
19 20
10.1%
20 4
 
2.0%
21 1
 
0.5%
ValueCountFrequency (%)
96 2
 
1.0%
94 3
 
1.5%
93 3
 
1.5%
92 3
 
1.5%
50 2
 
1.0%
48 2
 
1.0%
37 1
 
0.5%
36 3
 
1.5%
29 6
 
3.0%
28 49
24.6%

75.2
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.467337
Minimum0
Maximum75
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:37.861417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q125
median26
Q339
95-th percentile71
Maximum75
Range75
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.906025
Coefficient of variation (CV)0.48924608
Kurtosis1.8481738
Mean30.467337
Median Absolute Deviation (MAD)11
Skewness0.75680199
Sum6063
Variance222.18958
MonotonicityNot monotonic
2023-12-10T15:36:38.079157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
25 44
22.1%
39 34
17.1%
6 19
9.5%
26 18
9.0%
40 11
 
5.5%
38 11
 
5.5%
37 10
 
5.0%
22 8
 
4.0%
73 6
 
3.0%
36 4
 
2.0%
Other values (15) 34
17.1%
ValueCountFrequency (%)
0 3
 
1.5%
6 19
9.5%
9 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
20 2
 
1.0%
21 3
 
1.5%
22 8
 
4.0%
23 4
 
2.0%
25 44
22.1%
ValueCountFrequency (%)
75 2
 
1.0%
73 6
 
3.0%
71 3
 
1.5%
50 3
 
1.5%
40 11
 
5.5%
39 34
17.1%
38 11
 
5.5%
37 10
 
5.0%
36 4
 
2.0%
35 3
 
1.5%

30
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.557789
Minimum0
Maximum108
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:38.322855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q129
median55
Q383
95-th percentile86
Maximum108
Range108
Interquartile range (IQR)54

Descriptive statistics

Standard deviation29.976345
Coefficient of variation (CV)0.55970094
Kurtosis-0.93794299
Mean53.557789
Median Absolute Deviation (MAD)28
Skewness-0.50370213
Sum10658
Variance898.58124
MonotonicityNot monotonic
2023-12-10T15:36:38.503181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
85 32
16.1%
54 32
16.1%
2 19
9.5%
57 19
9.5%
9 13
 
6.5%
55 12
 
6.0%
83 11
 
5.5%
86 11
 
5.5%
29 9
 
4.5%
80 8
 
4.0%
Other values (15) 33
16.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
9.5%
4 2
 
1.0%
5 1
 
0.5%
9 13
6.5%
12 1
 
0.5%
15 2
 
1.0%
16 2
 
1.0%
29 9
4.5%
30 2
 
1.0%
ValueCountFrequency (%)
108 3
 
1.5%
86 11
 
5.5%
85 32
16.1%
83 11
 
5.5%
80 8
 
4.0%
77 4
 
2.0%
75 3
 
1.5%
64 1
 
0.5%
61 4
 
2.0%
57 19
9.5%

60.3
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean209.58291
Minimum51
Maximum377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:38.713659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile58
Q1152
median198
Q3290
95-th percentile300
Maximum377
Range326
Interquartile range (IQR)138

Descriptive statistics

Standard deviation76.243509
Coefficient of variation (CV)0.36378685
Kurtosis-0.70521809
Mean209.58291
Median Absolute Deviation (MAD)71
Skewness-0.20080194
Sum41707
Variance5813.0726
MonotonicityNot monotonic
2023-12-10T15:36:38.956204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
298 21
 
10.6%
200 15
 
7.5%
189 12
 
6.0%
297 11
 
5.5%
290 11
 
5.5%
191 11
 
5.5%
300 11
 
5.5%
193 10
 
5.0%
190 9
 
4.5%
280 8
 
4.0%
Other values (35) 80
40.2%
ValueCountFrequency (%)
51 1
 
0.5%
54 1
 
0.5%
57 3
1.5%
58 6
3.0%
60 2
 
1.0%
69 1
 
0.5%
90 1
 
0.5%
106 1
 
0.5%
108 1
 
0.5%
109 3
1.5%
ValueCountFrequency (%)
377 3
 
1.5%
300 11
5.5%
298 21
10.6%
297 11
5.5%
290 11
5.5%
280 8
 
4.0%
269 4
 
2.0%
264 3
 
1.5%
226 1
 
0.5%
223 2
 
1.0%

65.1
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean206.54774
Minimum56
Maximum365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:39.201673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56
5-th percentile63
Q1164
median192
Q3281
95-th percentile290
Maximum365
Range309
Interquartile range (IQR)117

Descriptive statistics

Standard deviation70.442013
Coefficient of variation (CV)0.34104471
Kurtosis-0.61146345
Mean206.54774
Median Absolute Deviation (MAD)66
Skewness-0.17710177
Sum41103
Variance4962.0773
MonotonicityNot monotonic
2023-12-10T15:36:39.433107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
289 21
 
10.6%
194 13
 
6.5%
182 12
 
6.0%
186 12
 
6.0%
290 11
 
5.5%
281 11
 
5.5%
288 11
 
5.5%
184 11
 
5.5%
183 9
 
4.5%
271 8
 
4.0%
Other values (33) 80
40.2%
ValueCountFrequency (%)
56 1
 
0.5%
58 1
 
0.5%
62 3
1.5%
63 6
3.0%
65 2
 
1.0%
75 1
 
0.5%
97 1
 
0.5%
115 1
 
0.5%
118 1
 
0.5%
119 4
2.0%
ValueCountFrequency (%)
365 3
 
1.5%
290 11
5.5%
289 21
10.6%
288 11
5.5%
281 11
5.5%
271 8
 
4.0%
261 4
 
2.0%
255 3
 
1.5%
242 2
 
1.0%
234 2
 
1.0%

24.7
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.110553
Minimum20
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:39.665884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile23
Q138
median45
Q359
95-th percentile60
Maximum89
Range69
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.035997
Coefficient of variation (CV)0.2709592
Kurtosis0.33989045
Mean48.110553
Median Absolute Deviation (MAD)11
Skewness0.23259165
Sum9574
Variance169.93721
MonotonicityNot monotonic
2023-12-10T15:36:39.887676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
38 44
22.1%
59 37
18.6%
40 18
9.0%
58 16
 
8.0%
60 11
 
5.5%
45 9
 
4.5%
23 9
 
4.5%
56 9
 
4.5%
57 6
 
3.0%
42 5
 
2.5%
Other values (17) 35
17.6%
ValueCountFrequency (%)
20 1
 
0.5%
21 1
 
0.5%
23 9
 
4.5%
24 2
 
1.0%
27 1
 
0.5%
30 2
 
1.0%
35 2
 
1.0%
36 1
 
0.5%
38 44
22.1%
39 2
 
1.0%
ValueCountFrequency (%)
89 2
 
1.0%
86 2
 
1.0%
75 3
 
1.5%
61 2
 
1.0%
60 11
 
5.5%
59 37
18.6%
58 16
8.0%
57 6
 
3.0%
56 9
 
4.5%
54 4
 
2.0%

14.7
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.849246
Minimum12
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:40.086589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile13
Q129
median32
Q345.5
95-th percentile47
Maximum59
Range47
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation10.193451
Coefficient of variation (CV)0.29250135
Kurtosis-0.39023518
Mean34.849246
Median Absolute Deviation (MAD)6
Skewness-0.14583671
Sum6935
Variance103.90645
MonotonicityNot monotonic
2023-12-10T15:36:40.323742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
46 32
16.1%
30 23
11.6%
29 21
10.6%
31 20
10.1%
47 11
 
5.5%
45 11
 
5.5%
26 10
 
5.0%
13 9
 
4.5%
33 9
 
4.5%
44 8
 
4.0%
Other values (15) 45
22.6%
ValueCountFrequency (%)
12 2
 
1.0%
13 9
4.5%
14 2
 
1.0%
16 1
 
0.5%
20 1
 
0.5%
24 3
 
1.5%
25 5
 
2.5%
26 10
5.0%
27 2
 
1.0%
29 21
10.6%
ValueCountFrequency (%)
59 3
 
1.5%
51 2
 
1.0%
49 2
 
1.0%
47 11
 
5.5%
46 32
16.1%
45 11
 
5.5%
44 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
35 3
 
1.5%

0.25
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
11
 
8
1
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

Length

2023-12-10T15:36:40.537123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:40.721913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

11.6
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.663317
Minimum9
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:40.870540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile11
Q127
median29
Q342
95-th percentile44
Maximum55
Range46
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.025332
Coefficient of variation (CV)0.31662293
Kurtosis-0.47998906
Mean31.663317
Median Absolute Deviation (MAD)8
Skewness-0.17251831
Sum6301
Variance100.50728
MonotonicityNot monotonic
2023-12-10T15:36:41.613332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
28 34
17.1%
43 32
16.1%
27 22
11.1%
29 20
10.1%
44 11
 
5.5%
42 11
 
5.5%
21 10
 
5.0%
41 10
 
5.0%
11 8
 
4.0%
26 7
 
3.5%
Other values (14) 34
17.1%
ValueCountFrequency (%)
9 1
 
0.5%
10 4
 
2.0%
11 8
4.0%
13 1
 
0.5%
16 1
 
0.5%
19 1
 
0.5%
20 5
2.5%
21 10
5.0%
22 2
 
1.0%
25 2
 
1.0%
ValueCountFrequency (%)
55 3
 
1.5%
44 11
 
5.5%
43 32
16.1%
42 11
 
5.5%
41 10
 
5.0%
40 2
 
1.0%
39 4
 
2.0%
38 3
 
1.5%
33 1
 
0.5%
31 4
 
2.0%

8.9
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.778894
Minimum7
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:41.801166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile8
Q124
median36
Q355
95-th percentile57
Maximum71
Range64
Interquartile range (IQR)31

Descriptive statistics

Standard deviation16.430796
Coefficient of variation (CV)0.43491999
Kurtosis-0.96784288
Mean37.778894
Median Absolute Deviation (MAD)17
Skewness-0.2791942
Sum7518
Variance269.97107
MonotonicityNot monotonic
2023-12-10T15:36:42.004600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
36 44
22.1%
56 32
16.1%
38 19
9.5%
19 15
 
7.5%
55 11
 
5.5%
57 11
 
5.5%
15 10
 
5.0%
8 8
 
4.0%
53 8
 
4.0%
14 6
 
3.0%
Other values (13) 35
17.6%
ValueCountFrequency (%)
7 5
 
2.5%
8 8
4.0%
9 1
 
0.5%
12 1
 
0.5%
14 6
 
3.0%
15 10
5.0%
19 15
7.5%
20 4
 
2.0%
28 2
 
1.0%
29 4
 
2.0%
ValueCountFrequency (%)
71 3
 
1.5%
57 11
 
5.5%
56 32
16.1%
55 11
 
5.5%
53 8
 
4.0%
51 4
 
2.0%
50 3
 
1.5%
43 1
 
0.5%
40 4
 
2.0%
38 19
9.5%

4.5
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.628141
Minimum3
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:42.194821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q111
median61
Q393
95-th percentile96
Maximum120
Range117
Interquartile range (IQR)82

Descriptive statistics

Standard deviation34.734235
Coefficient of variation (CV)0.59244988
Kurtosis-1.1543164
Mean58.628141
Median Absolute Deviation (MAD)34
Skewness-0.46005275
Sum11667
Variance1206.4671
MonotonicityNot monotonic
2023-12-10T15:36:42.384614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95 32
16.1%
61 23
11.6%
60 21
10.6%
9 19
9.5%
64 17
8.5%
7 15
7.5%
96 11
 
5.5%
93 11
 
5.5%
4 9
 
4.5%
89 8
 
4.0%
Other values (12) 33
16.6%
ValueCountFrequency (%)
3 5
 
2.5%
4 9
4.5%
5 1
 
0.5%
6 1
 
0.5%
7 15
7.5%
9 19
9.5%
13 4
 
2.0%
48 2
 
1.0%
55 2
 
1.0%
60 21
10.6%
ValueCountFrequency (%)
120 3
 
1.5%
96 11
 
5.5%
95 32
16.1%
93 11
 
5.5%
89 8
 
4.0%
86 4
 
2.0%
84 3
 
1.5%
72 1
 
0.5%
68 4
 
2.0%
64 17
8.5%

37.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.683417
Minimum32
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:42.576589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile36
Q142
median61
Q366
95-th percentile92
Maximum138
Range106
Interquartile range (IQR)24

Descriptive statistics

Standard deviation19.625413
Coefficient of variation (CV)0.3344286
Kurtosis3.0928329
Mean58.683417
Median Absolute Deviation (MAD)17
Skewness1.379741
Sum11678
Variance385.15684
MonotonicityNot monotonic
2023-12-10T15:36:42.773503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
65 33
16.6%
42 32
16.1%
44 18
 
9.0%
41 12
 
6.0%
66 11
 
5.5%
64 11
 
5.5%
61 8
 
4.0%
89 6
 
3.0%
36 6
 
3.0%
92 5
 
2.5%
Other values (22) 57
28.6%
ValueCountFrequency (%)
32 1
 
0.5%
33 3
 
1.5%
35 3
 
1.5%
36 6
 
3.0%
37 2
 
1.0%
38 2
 
1.0%
41 12
 
6.0%
42 32
16.1%
43 3
 
1.5%
44 18
9.0%
ValueCountFrequency (%)
138 2
 
1.0%
134 2
 
1.0%
95 2
 
1.0%
92 5
2.5%
90 5
2.5%
89 6
3.0%
87 1
 
0.5%
83 3
1.5%
72 2
 
1.0%
70 4
2.0%

15.8
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.879397
Minimum13
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:42.967098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile14
Q130
median34
Q346.5
95-th percentile47
Maximum59
Range46
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation10.145683
Coefficient of variation (CV)0.28277183
Kurtosis-0.36377567
Mean35.879397
Median Absolute Deviation (MAD)7
Skewness-0.16032856
Sum7140
Variance102.93488
MonotonicityNot monotonic
2023-12-10T15:36:43.150306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
30 44
22.1%
47 43
21.6%
32 15
 
7.5%
46 11
 
5.5%
28 10
 
5.0%
14 9
 
4.5%
36 9
 
4.5%
44 8
 
4.0%
35 7
 
3.5%
42 7
 
3.5%
Other values (14) 36
18.1%
ValueCountFrequency (%)
13 2
 
1.0%
14 9
 
4.5%
15 2
 
1.0%
17 1
 
0.5%
22 1
 
0.5%
24 2
 
1.0%
26 1
 
0.5%
27 7
 
3.5%
28 10
 
5.0%
30 44
22.1%
ValueCountFrequency (%)
59 3
 
1.5%
55 2
 
1.0%
53 2
 
1.0%
47 43
21.6%
46 11
 
5.5%
44 8
 
4.0%
42 7
 
3.5%
38 2
 
1.0%
37 2
 
1.0%
36 9
 
4.5%

7.5
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.030151
Minimum6
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:43.332546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q118.5
median21
Q331
95-th percentile32
Maximum41
Range35
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.7426469
Coefficient of variation (CV)0.3361961
Kurtosis-0.50472535
Mean23.030151
Median Absolute Deviation (MAD)7
Skewness-0.20344718
Sum4583
Variance59.948581
MonotonicityNot monotonic
2023-12-10T15:36:43.517577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
32 43
21.6%
21 28
14.1%
20 21
10.6%
18 16
 
8.0%
22 15
 
7.5%
7 12
 
6.0%
31 11
 
5.5%
14 11
 
5.5%
30 8
 
4.0%
13 5
 
2.5%
Other values (12) 29
14.6%
ValueCountFrequency (%)
6 1
 
0.5%
7 12
6.0%
8 1
 
0.5%
11 1
 
0.5%
13 5
 
2.5%
14 11
5.5%
16 2
 
1.0%
17 1
 
0.5%
18 16
8.0%
19 4
 
2.0%
ValueCountFrequency (%)
41 3
 
1.5%
32 43
21.6%
31 11
 
5.5%
30 8
 
4.0%
29 4
 
2.0%
28 3
 
1.5%
27 4
 
2.0%
24 1
 
0.5%
23 4
 
2.0%
22 15
 
7.5%

4.6
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.844221
Minimum3
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:43.714033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q112
median29
Q344
95-th percentile45
Maximum57
Range54
Interquartile range (IQR)32

Descriptive statistics

Standard deviation14.848761
Coefficient of variation (CV)0.51479155
Kurtosis-1.1088702
Mean28.844221
Median Absolute Deviation (MAD)15
Skewness-0.36612581
Sum5740
Variance220.48571
MonotonicityNot monotonic
2023-12-10T15:36:43.888251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
45 43
21.6%
29 32
16.1%
30 20
10.1%
7 16
 
8.0%
4 12
 
6.0%
9 12
 
6.0%
28 12
 
6.0%
44 11
 
5.5%
42 8
 
4.0%
10 7
 
3.5%
Other values (10) 26
13.1%
ValueCountFrequency (%)
3 2
 
1.0%
4 12
6.0%
6 1
 
0.5%
7 16
8.0%
9 12
6.0%
10 7
3.5%
14 4
 
2.0%
23 2
 
1.0%
26 2
 
1.0%
28 12
6.0%
ValueCountFrequency (%)
57 3
 
1.5%
45 43
21.6%
44 11
 
5.5%
42 8
 
4.0%
41 4
 
2.0%
40 3
 
1.5%
34 1
 
0.5%
32 4
 
2.0%
30 20
10.1%
29 32
16.1%

2.4
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.824121
Minimum2
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:44.090955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q16
median63
Q394
95-th percentile97
Maximum122
Range120
Interquartile range (IQR)88

Descriptive statistics

Standard deviation36.66273
Coefficient of variation (CV)0.62326015
Kurtosis-1.1518761
Mean58.824121
Median Absolute Deviation (MAD)34
Skewness-0.50144811
Sum11706
Variance1344.1558
MonotonicityNot monotonic
2023-12-10T15:36:44.366830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
97 43
21.6%
62 22
11.1%
5 19
9.5%
65 18
9.0%
4 16
 
8.0%
2 14
 
7.0%
61 12
 
6.0%
94 11
 
5.5%
63 10
 
5.0%
91 8
 
4.0%
Other values (10) 26
13.1%
ValueCountFrequency (%)
2 14
7.0%
3 1
 
0.5%
4 16
8.0%
5 19
9.5%
7 4
 
2.0%
49 2
 
1.0%
56 2
 
1.0%
61 12
6.0%
62 22
11.1%
63 10
5.0%
ValueCountFrequency (%)
122 3
 
1.5%
97 43
21.6%
94 11
 
5.5%
91 8
 
4.0%
87 4
 
2.0%
86 3
 
1.5%
73 1
 
0.5%
69 4
 
2.0%
65 18
9.0%
64 2
 
1.0%

88.2
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.221106
Minimum45
Maximum195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:44.596412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum45
5-th percentile65
Q167
median97
Q3103
95-th percentile114
Maximum195
Range150
Interquartile range (IQR)36

Descriptive statistics

Standard deviation23.868143
Coefficient of variation (CV)0.26455165
Kurtosis4.655867
Mean90.221106
Median Absolute Deviation (MAD)13
Skewness1.3408076
Sum17954
Variance569.68824
MonotonicityNot monotonic
2023-12-10T15:36:45.082973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
103 32
16.1%
66 20
 
10.1%
69 17
 
8.5%
104 15
 
7.5%
101 13
 
6.5%
67 12
 
6.0%
65 12
 
6.0%
97 8
 
4.0%
86 6
 
3.0%
93 6
 
3.0%
Other values (24) 58
29.1%
ValueCountFrequency (%)
45 1
 
0.5%
47 1
 
0.5%
52 2
 
1.0%
60 3
 
1.5%
65 12
6.0%
66 20
10.1%
67 12
6.0%
68 1
 
0.5%
69 17
8.5%
70 2
 
1.0%
ValueCountFrequency (%)
195 2
 
1.0%
189 2
 
1.0%
131 3
1.5%
117 2
 
1.0%
114 2
 
1.0%
113 3
1.5%
111 5
2.5%
110 6
3.0%
108 1
 
0.5%
107 2
 
1.0%

107
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.316583
Minimum51
Maximum238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:45.822430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile63
Q165
median97
Q3104
95-th percentile138
Maximum238
Range187
Interquartile range (IQR)39

Descriptive statistics

Standard deviation31.934834
Coefficient of variation (CV)0.33859193
Kurtosis5.4492009
Mean94.316583
Median Absolute Deviation (MAD)30
Skewness1.7082511
Sum18769
Variance1019.8336
MonotonicityNot monotonic
2023-12-10T15:36:46.482998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
100 32
16.1%
64 23
 
11.6%
63 21
 
10.6%
67 17
 
8.5%
99 11
 
5.5%
97 11
 
5.5%
94 8
 
4.0%
104 6
 
3.0%
134 6
 
3.0%
135 5
 
2.5%
Other values (26) 59
29.6%
ValueCountFrequency (%)
51 2
 
1.0%
54 1
 
0.5%
57 1
 
0.5%
58 2
 
1.0%
63 21
10.6%
64 23
11.6%
66 3
 
1.5%
67 17
8.5%
71 4
 
2.0%
73 1
 
0.5%
ValueCountFrequency (%)
238 2
 
1.0%
231 2
 
1.0%
143 2
 
1.0%
139 2
 
1.0%
138 3
1.5%
135 5
2.5%
134 6
3.0%
131 1
 
0.5%
130 2
 
1.0%
128 4
2.0%

0.26
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
33 
20
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
20 8
 
4.0%

Length

2023-12-10T15:36:46.955251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:47.248519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
20 8
 
4.0%

21.3
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.226131
Minimum10
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:47.539001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile13
Q113.5
median20
Q321
95-th percentile27
Maximum47
Range37
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.2412865
Coefficient of variation (CV)0.3246252
Kurtosis5.2911848
Mean19.226131
Median Absolute Deviation (MAD)5
Skewness1.6263513
Sum3826
Variance38.953657
MonotonicityNot monotonic
2023-12-10T15:36:47.775018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13 44
22.1%
21 41
20.6%
20 25
12.6%
14 20
10.1%
27 14
 
7.0%
19 12
 
6.0%
25 11
 
5.5%
26 6
 
3.0%
15 5
 
2.5%
28 4
 
2.0%
Other values (9) 17
 
8.5%
ValueCountFrequency (%)
10 2
 
1.0%
11 2
 
1.0%
12 2
 
1.0%
13 44
22.1%
14 20
10.1%
15 5
 
2.5%
16 1
 
0.5%
18 3
 
1.5%
19 12
 
6.0%
20 25
12.6%
ValueCountFrequency (%)
47 2
 
1.0%
46 2
 
1.0%
28 4
 
2.0%
27 14
 
7.0%
26 6
 
3.0%
25 11
 
5.5%
23 1
 
0.5%
22 2
 
1.0%
21 41
20.6%
20 25
12.6%

22.4
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.582915
Minimum8
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:48.035010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q321
95-th percentile28
Maximum48
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.3424124
Coefficient of variation (CV)0.44276972
Kurtosis4.4129926
Mean16.582915
Median Absolute Deviation (MAD)5
Skewness1.7520724
Sum3300
Variance53.91102
MonotonicityNot monotonic
2023-12-10T15:36:48.281265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
16 54
27.1%
10 44
22.1%
11 25
12.6%
27 12
 
6.0%
26 10
 
5.0%
21 9
 
4.5%
15 9
 
4.5%
14 7
 
3.5%
28 5
 
2.5%
22 4
 
2.0%
Other values (9) 20
 
10.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 44
22.1%
11 25
12.6%
12 2
 
1.0%
14 7
 
3.5%
15 9
 
4.5%
16 54
27.1%
20 3
 
1.5%
21 9
 
4.5%
ValueCountFrequency (%)
48 2
 
1.0%
47 2
 
1.0%
29 2
 
1.0%
28 5
2.5%
27 12
6.0%
26 10
5.0%
25 3
 
1.5%
23 2
 
1.0%
22 4
 
2.0%
21 9
4.5%

22.5
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.190955
Minimum8
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:48.521836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q110
median15
Q321
95-th percentile28
Maximum49
Range41
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.7344643
Coefficient of variation (CV)0.47770279
Kurtosis4.2639928
Mean16.190955
Median Absolute Deviation (MAD)5
Skewness1.7970621
Sum3222
Variance59.821938
MonotonicityNot monotonic
2023-12-10T15:36:48.780065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
15 55
27.6%
10 52
26.1%
28 14
 
7.0%
9 14
 
7.0%
14 12
 
6.0%
26 9
 
4.5%
22 7
 
3.5%
11 6
 
3.0%
21 6
 
3.0%
29 4
 
2.0%
Other values (9) 20
 
10.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 14
 
7.0%
10 52
26.1%
11 6
 
3.0%
12 1
 
0.5%
13 3
 
1.5%
14 12
 
6.0%
15 55
27.6%
19 3
 
1.5%
21 6
 
3.0%
ValueCountFrequency (%)
49 2
 
1.0%
48 2
 
1.0%
29 4
 
2.0%
28 14
7.0%
27 3
 
1.5%
26 9
4.5%
25 2
 
1.0%
23 2
 
1.0%
22 7
3.5%
21 6
3.0%

14.8
Real number (ℝ)

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.386935
Minimum7
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:49.086215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile12
Q113
median17
Q319
95-th percentile20
Maximum32
Range25
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.9931798
Coefficient of variation (CV)0.24368071
Kurtosis2.4181039
Mean16.386935
Median Absolute Deviation (MAD)3
Skewness0.94038655
Sum3261
Variance15.945485
MonotonicityNot monotonic
2023-12-10T15:36:49.301677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
13 43
21.6%
20 32
16.1%
19 29
14.6%
18 26
13.1%
12 21
10.6%
14 15
 
7.5%
17 14
 
7.0%
15 5
 
2.5%
25 3
 
1.5%
10 3
 
1.5%
Other values (5) 8
 
4.0%
ValueCountFrequency (%)
7 1
 
0.5%
8 1
 
0.5%
10 3
 
1.5%
11 2
 
1.0%
12 21
10.6%
13 43
21.6%
14 15
 
7.5%
15 5
 
2.5%
17 14
 
7.0%
18 26
13.1%
ValueCountFrequency (%)
32 2
 
1.0%
31 2
 
1.0%
25 3
 
1.5%
20 32
16.1%
19 29
14.6%
18 26
13.1%
17 14
 
7.0%
15 5
 
2.5%
14 15
 
7.5%
13 43
21.6%

8.10
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.351759
Minimum4
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:49.487746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q114
median21
Q332
95-th percentile33
Maximum42
Range38
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.2111529
Coefficient of variation (CV)0.41209969
Kurtosis-1.0716149
Mean22.351759
Median Absolute Deviation (MAD)10
Skewness-0.14952138
Sum4448
Variance84.845338
MonotonicityNot monotonic
2023-12-10T15:36:49.702891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
21 44
22.1%
33 43
21.6%
22 20
10.1%
10 20
10.1%
8 12
 
6.0%
11 12
 
6.0%
32 11
 
5.5%
31 8
 
4.0%
19 4
 
2.0%
23 4
 
2.0%
Other values (9) 21
10.6%
ValueCountFrequency (%)
4 2
 
1.0%
6 1
 
0.5%
8 12
 
6.0%
9 3
 
1.5%
10 20
10.1%
11 12
 
6.0%
17 2
 
1.0%
18 2
 
1.0%
19 4
 
2.0%
21 44
22.1%
ValueCountFrequency (%)
42 3
 
1.5%
33 43
21.6%
32 11
 
5.5%
31 8
 
4.0%
30 4
 
2.0%
29 3
 
1.5%
25 1
 
0.5%
23 4
 
2.0%
22 20
10.1%
21 44
22.1%

36.1
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.301508
Minimum11
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:49.911178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q335
95-th percentile47
Maximum81
Range70
Interquartile range (IQR)20

Descriptive statistics

Standard deviation13.33521
Coefficient of variation (CV)0.52705199
Kurtosis3.6839133
Mean25.301508
Median Absolute Deviation (MAD)7
Skewness1.7310209
Sum5035
Variance177.82783
MonotonicityNot monotonic
2023-12-10T15:36:50.342794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
23 43
21.6%
14 32
16.1%
15 32
16.1%
22 11
 
5.5%
35 9
 
4.5%
43 8
 
4.0%
21 8
 
4.0%
20 7
 
3.5%
45 6
 
3.0%
47 5
 
2.5%
Other values (18) 38
19.1%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 32
16.1%
15 32
16.1%
16 4
 
2.0%
17 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 7
 
3.5%
21 8
 
4.0%
ValueCountFrequency (%)
81 2
 
1.0%
78 2
 
1.0%
49 2
 
1.0%
47 5
2.5%
46 5
2.5%
45 6
3.0%
44 3
 
1.5%
43 8
4.0%
42 3
 
1.5%
39 1
 
0.5%

28.3
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.572864
Minimum8
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:50.617674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q111
median16
Q326
95-th percentile36
Maximum61
Range53
Interquartile range (IQR)15

Descriptive statistics

Standard deviation10.434184
Coefficient of variation (CV)0.56179723
Kurtosis3.2292596
Mean18.572864
Median Absolute Deviation (MAD)5
Skewness1.6931167
Sum3696
Variance108.87219
MonotonicityNot monotonic
2023-12-10T15:36:50.871508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
16 54
27.1%
10 44
22.1%
11 20
 
10.1%
15 13
 
6.5%
34 9
 
4.5%
33 8
 
4.0%
27 6
 
3.0%
12 5
 
2.5%
35 5
 
2.5%
36 5
 
2.5%
Other values (12) 30
15.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 44
22.1%
11 20
 
10.1%
12 5
 
2.5%
14 4
 
2.0%
15 13
 
6.5%
16 54
27.1%
19 1
 
0.5%
21 3
 
1.5%
ValueCountFrequency (%)
61 2
 
1.0%
59 2
 
1.0%
37 2
 
1.0%
36 5
2.5%
35 5
2.5%
34 9
4.5%
33 8
4.0%
32 3
 
1.5%
29 2
 
1.0%
28 4
2.0%

22.6
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.643216
Minimum6
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:51.063234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q17
median11
Q321
95-th percentile28
Maximum49
Range43
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.7673834
Coefficient of variation (CV)0.64261853
Kurtosis3.0074312
Mean13.643216
Median Absolute Deviation (MAD)4
Skewness1.7015286
Sum2715
Variance76.867012
MonotonicityNot monotonic
2023-12-10T15:36:51.267020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 64
32.2%
11 55
27.6%
10 15
 
7.5%
28 10
 
5.0%
27 9
 
4.5%
21 9
 
4.5%
26 8
 
4.0%
8 5
 
2.5%
22 4
 
2.0%
6 4
 
2.0%
Other values (8) 16
 
8.0%
ValueCountFrequency (%)
6 4
 
2.0%
7 64
32.2%
8 5
 
2.5%
10 15
 
7.5%
11 55
27.6%
12 1
 
0.5%
14 3
 
1.5%
15 1
 
0.5%
21 9
 
4.5%
22 4
 
2.0%
ValueCountFrequency (%)
49 2
 
1.0%
47 2
 
1.0%
29 2
 
1.0%
28 10
5.0%
27 9
4.5%
26 8
4.0%
25 3
 
1.5%
23 2
 
1.0%
22 4
 
2.0%
21 9
4.5%

13.6
Real number (ℝ)

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.512563
Minimum7
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:51.460765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile10
Q110
median15
Q316
95-th percentile17
Maximum29
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.5687466
Coefficient of variation (CV)0.26410583
Kurtosis4.274615
Mean13.512563
Median Absolute Deviation (MAD)2
Skewness1.2858544
Sum2689
Variance12.735952
MonotonicityNot monotonic
2023-12-10T15:36:51.675002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10 64
32.2%
16 46
23.1%
15 41
20.6%
13 10
 
5.0%
14 9
 
4.5%
17 7
 
3.5%
11 4
 
2.0%
12 4
 
2.0%
20 3
 
1.5%
9 3
 
1.5%
Other values (4) 8
 
4.0%
ValueCountFrequency (%)
7 2
 
1.0%
8 2
 
1.0%
9 3
 
1.5%
10 64
32.2%
11 4
 
2.0%
12 4
 
2.0%
13 10
 
5.0%
14 9
 
4.5%
15 41
20.6%
16 46
23.1%
ValueCountFrequency (%)
29 2
 
1.0%
28 2
 
1.0%
20 3
 
1.5%
17 7
 
3.5%
16 46
23.1%
15 41
20.6%
14 9
 
4.5%
13 10
 
5.0%
12 4
 
2.0%
11 4
 
2.0%

8.11
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.713568
Minimum4
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:51.873183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8
Q114
median22
Q333
95-th percentile34
Maximum42
Range38
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.5050952
Coefficient of variation (CV)0.41847654
Kurtosis-1.1299095
Mean22.713568
Median Absolute Deviation (MAD)11
Skewness-0.14538956
Sum4520
Variance90.346835
MonotonicityNot monotonic
2023-12-10T15:36:52.096199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
21 32
16.1%
34 32
16.1%
22 30
15.1%
33 22
11.1%
10 20
10.1%
8 12
 
6.0%
11 12
 
6.0%
32 8
 
4.0%
30 7
 
3.5%
19 4
 
2.0%
Other values (9) 20
10.1%
ValueCountFrequency (%)
4 2
 
1.0%
6 1
 
0.5%
8 12
 
6.0%
9 3
 
1.5%
10 20
10.1%
11 12
 
6.0%
17 2
 
1.0%
18 2
 
1.0%
19 4
 
2.0%
21 32
16.1%
ValueCountFrequency (%)
42 3
 
1.5%
34 32
16.1%
33 22
11.1%
32 8
 
4.0%
30 7
 
3.5%
25 1
 
0.5%
24 4
 
2.0%
23 2
 
1.0%
22 30
15.1%
21 32
16.1%

0.27
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
17
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
17 8
 
4.0%

Length

2023-12-10T15:36:52.435617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:52.632667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
17 8
 
4.0%

237
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.08543
Minimum73
Maximum573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:52.855431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum73
5-th percentile91
Q196
median140
Q3227
95-th percentile355
Maximum573
Range500
Interquartile range (IQR)131

Descriptive statistics

Standard deviation101.42319
Coefficient of variation (CV)0.59630737
Kurtosis3.037116
Mean170.08543
Median Absolute Deviation (MAD)45
Skewness1.7336872
Sum33847
Variance10286.664
MonotonicityNot monotonic
2023-12-10T15:36:53.104744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
143 32
16.1%
91 30
15.1%
96 15
 
7.5%
93 12
 
6.0%
144 11
 
5.5%
140 11
 
5.5%
135 9
 
4.5%
231 6
 
3.0%
343 6
 
3.0%
347 4
 
2.0%
Other values (32) 63
31.7%
ValueCountFrequency (%)
73 2
 
1.0%
83 2
 
1.0%
91 30
15.1%
92 2
 
1.0%
93 12
 
6.0%
95 1
 
0.5%
96 15
7.5%
97 4
 
2.0%
102 4
 
2.0%
108 1
 
0.5%
ValueCountFrequency (%)
573 2
 
1.0%
555 2
 
1.0%
367 2
 
1.0%
356 2
 
1.0%
355 3
1.5%
348 1
 
0.5%
347 4
2.0%
343 6
3.0%
337 1
 
0.5%
309 2
 
1.0%

348
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.12563
Minimum71
Maximum843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:53.334479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71
5-th percentile88
Q192
median138
Q3333
95-th percentile522
Maximum843
Range772
Interquartile range (IQR)241

Descriptive statistics

Standard deviation170.33573
Coefficient of variation (CV)0.82237884
Kurtosis2.1189257
Mean207.12563
Median Absolute Deviation (MAD)48
Skewness1.6436208
Sum41218
Variance29014.262
MonotonicityNot monotonic
2023-12-10T15:36:53.544209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
139 21
 
10.6%
88 21
 
10.6%
93 17
 
8.5%
89 13
 
6.5%
140 11
 
5.5%
135 11
 
5.5%
138 11
 
5.5%
90 10
 
5.0%
130 8
 
4.0%
339 6
 
3.0%
Other values (33) 70
35.2%
ValueCountFrequency (%)
71 2
 
1.0%
81 2
 
1.0%
88 21
10.6%
89 13
6.5%
90 10
5.0%
92 3
 
1.5%
93 17
8.5%
99 4
 
2.0%
105 1
 
0.5%
123 3
 
1.5%
ValueCountFrequency (%)
843 2
 
1.0%
816 2
 
1.0%
539 2
 
1.0%
524 2
 
1.0%
522 3
1.5%
512 1
 
0.5%
510 4
2.0%
504 6
3.0%
496 1
 
0.5%
454 2
 
1.0%

57.1
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.572864
Minimum15
Maximum139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:53.762711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile18
Q119
median28
Q355
95-th percentile86
Maximum139
Range124
Interquartile range (IQR)36

Descriptive statistics

Standard deviation26.370581
Coefficient of variation (CV)0.70185176
Kurtosis2.5584814
Mean37.572864
Median Absolute Deviation (MAD)9
Skewness1.6914127
Sum7477
Variance695.40754
MonotonicityNot monotonic
2023-12-10T15:36:53.956255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
18 34
17.1%
29 32
16.1%
19 30
15.1%
28 22
11.1%
27 8
 
4.0%
83 6
 
3.0%
56 6
 
3.0%
73 6
 
3.0%
84 5
 
2.5%
86 5
 
2.5%
Other values (21) 45
22.6%
ValueCountFrequency (%)
15 2
 
1.0%
17 2
 
1.0%
18 34
17.1%
19 30
15.1%
20 4
 
2.0%
22 1
 
0.5%
25 3
 
1.5%
26 4
 
2.0%
27 8
 
4.0%
28 22
11.1%
ValueCountFrequency (%)
139 2
 
1.0%
135 2
 
1.0%
89 2
 
1.0%
86 5
2.5%
84 5
2.5%
83 6
3.0%
82 1
 
0.5%
75 2
 
1.0%
74 2
 
1.0%
73 6
3.0%

57.2
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.477387
Minimum11
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:54.143551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q115
median22
Q354
95-th percentile85
Maximum138
Range127
Interquartile range (IQR)39

Descriptive statistics

Standard deviation27.959535
Coefficient of variation (CV)0.83517674
Kurtosis2.10374
Mean33.477387
Median Absolute Deviation (MAD)8
Skewness1.6423331
Sum6662
Variance781.7356
MonotonicityNot monotonic
2023-12-10T15:36:54.289372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
22 54
27.1%
14 44
22.1%
15 20
 
10.1%
21 8
 
4.0%
20 7
 
3.5%
82 6
 
3.0%
55 6
 
3.0%
16 4
 
2.0%
83 4
 
2.0%
73 4
 
2.0%
Other values (22) 42
21.1%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 44
22.1%
15 20
 
10.1%
16 4
 
2.0%
17 1
 
0.5%
20 7
 
3.5%
21 8
 
4.0%
22 54
27.1%
28 3
 
1.5%
ValueCountFrequency (%)
138 2
 
1.0%
133 2
 
1.0%
88 2
 
1.0%
86 2
 
1.0%
85 3
1.5%
84 1
 
0.5%
83 4
2.0%
82 6
3.0%
81 1
 
0.5%
74 2
 
1.0%

60.4
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.829146
Minimum11
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:54.931491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile13
Q114
median21
Q357
95-th percentile90
Maximum145
Range134
Interquartile range (IQR)43

Descriptive statistics

Standard deviation30.248148
Coefficient of variation (CV)0.8941446
Kurtosis1.9090655
Mean33.829146
Median Absolute Deviation (MAD)7
Skewness1.6165114
Sum6732
Variance914.95046
MonotonicityNot monotonic
2023-12-10T15:36:55.144006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
21 43
21.6%
13 34
17.1%
14 30
15.1%
20 19
9.5%
58 6
 
3.0%
87 6
 
3.0%
76 6
 
3.0%
90 5
 
2.5%
88 5
 
2.5%
15 4
 
2.0%
Other values (21) 41
20.6%
ValueCountFrequency (%)
11 2
 
1.0%
12 2
 
1.0%
13 34
17.1%
14 30
15.1%
15 4
 
2.0%
16 1
 
0.5%
18 3
 
1.5%
19 4
 
2.0%
20 19
9.5%
21 43
21.6%
ValueCountFrequency (%)
145 2
 
1.0%
140 2
 
1.0%
93 2
 
1.0%
90 5
2.5%
88 5
2.5%
87 6
3.0%
85 1
 
0.5%
78 2
 
1.0%
77 2
 
1.0%
76 6
3.0%

39.1
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.909548
Minimum14
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:55.402260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile17
Q118
median26
Q337
95-th percentile58
Maximum94
Range80
Interquartile range (IQR)19

Descriptive statistics

Standard deviation15.652213
Coefficient of variation (CV)0.52331828
Kurtosis3.5474966
Mean29.909548
Median Absolute Deviation (MAD)8
Skewness1.7700499
Sum5952
Variance244.99178
MonotonicityNot monotonic
2023-12-10T15:36:55.602422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
27 43
21.6%
17 32
16.1%
18 32
16.1%
25 12
 
6.0%
26 11
 
5.5%
38 6
 
3.0%
49 6
 
3.0%
56 6
 
3.0%
58 5
 
2.5%
57 5
 
2.5%
Other values (19) 41
20.6%
ValueCountFrequency (%)
14 2
 
1.0%
16 2
 
1.0%
17 32
16.1%
18 32
16.1%
19 4
 
2.0%
20 1
 
0.5%
21 1
 
0.5%
22 1
 
0.5%
24 3
 
1.5%
25 12
 
6.0%
ValueCountFrequency (%)
94 2
 
1.0%
91 2
 
1.0%
60 2
 
1.0%
58 5
2.5%
57 5
2.5%
56 6
3.0%
55 1
 
0.5%
50 4
2.0%
49 6
3.0%
48 3
1.5%

24.8
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.949749
Minimum13
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:55.802682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile23
Q129
median33
Q345.5
95-th percentile46
Maximum58
Range45
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation8.9807587
Coefficient of variation (CV)0.24981423
Kurtosis-0.50881028
Mean35.949749
Median Absolute Deviation (MAD)4
Skewness0.32593693
Sum7154
Variance80.654028
MonotonicityNot monotonic
2023-12-10T15:36:55.995614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
46 43
21.6%
29 34
17.1%
31 25
12.6%
30 18
9.0%
35 12
 
6.0%
23 11
 
5.5%
45 11
 
5.5%
43 8
 
4.0%
41 7
 
3.5%
58 5
 
2.5%
Other values (11) 25
12.6%
ValueCountFrequency (%)
13 1
 
0.5%
14 1
 
0.5%
18 1
 
0.5%
23 11
 
5.5%
24 3
 
1.5%
27 3
 
1.5%
28 2
 
1.0%
29 34
17.1%
30 18
9.0%
31 25
12.6%
ValueCountFrequency (%)
58 5
 
2.5%
56 2
 
1.0%
46 43
21.6%
45 11
 
5.5%
43 8
 
4.0%
41 7
 
3.5%
37 2
 
1.0%
36 5
 
2.5%
35 12
 
6.0%
34 1
 
0.5%

115
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.743719
Minimum16
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:56.190248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile20
Q121
median31
Q3110
95-th percentile172
Maximum278
Range262
Interquartile range (IQR)89

Descriptive statistics

Standard deviation60.769391
Coefficient of variation (CV)1.0171679
Kurtosis1.6384801
Mean59.743719
Median Absolute Deviation (MAD)11
Skewness1.576519
Sum11889
Variance3692.9188
MonotonicityNot monotonic
2023-12-10T15:36:56.366921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
20 44
22.1%
31 43
21.6%
21 20
10.1%
32 11
 
5.5%
30 8
 
4.0%
28 7
 
3.5%
166 6
 
3.0%
112 6
 
3.0%
22 4
 
2.0%
168 4
 
2.0%
Other values (23) 46
23.1%
ValueCountFrequency (%)
16 2
 
1.0%
18 2
 
1.0%
20 44
22.1%
21 20
10.1%
22 4
 
2.0%
24 1
 
0.5%
28 7
 
3.5%
30 8
 
4.0%
31 43
21.6%
32 11
 
5.5%
ValueCountFrequency (%)
278 2
 
1.0%
269 2
 
1.0%
178 2
 
1.0%
173 2
 
1.0%
172 3
1.5%
169 1
 
0.5%
168 4
2.0%
166 6
3.0%
164 1
 
0.5%
150 2
 
1.0%

88.3
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.050251
Minimum12
Maximum214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:56.532205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile14
Q115
median22
Q385
95-th percentile133
Maximum214
Range202
Interquartile range (IQR)70

Descriptive statistics

Standard deviation47.342055
Coefficient of variation (CV)1.0508722
Kurtosis1.5685844
Mean45.050251
Median Absolute Deviation (MAD)7
Skewness1.565802
Sum8965
Variance2241.2702
MonotonicityNot monotonic
2023-12-10T15:36:56.728966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
14 32
16.1%
15 32
16.1%
23 32
16.1%
22 22
11.1%
21 8
 
4.0%
20 7
 
3.5%
86 6
 
3.0%
128 6
 
3.0%
130 5
 
2.5%
133 5
 
2.5%
Other values (23) 44
22.1%
ValueCountFrequency (%)
12 2
 
1.0%
13 2
 
1.0%
14 32
16.1%
15 32
16.1%
16 4
 
2.0%
17 1
 
0.5%
20 7
 
3.5%
21 8
 
4.0%
22 22
11.1%
23 32
16.1%
ValueCountFrequency (%)
214 2
 
1.0%
207 2
 
1.0%
137 2
 
1.0%
133 5
2.5%
130 5
2.5%
128 6
3.0%
126 1
 
0.5%
115 2
 
1.0%
114 2
 
1.0%
113 2
 
1.0%

75.3
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.984925
Minimum8
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:57.060763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile10
Q110
median15
Q372
95-th percentile113
Maximum182
Range174
Interquartile range (IQR)62

Descriptive statistics

Standard deviation41.432491
Coefficient of variation (CV)1.1513847
Kurtosis1.4292974
Mean35.984925
Median Absolute Deviation (MAD)5
Skewness1.5450937
Sum7161
Variance1716.6513
MonotonicityNot monotonic
2023-12-10T15:36:57.293034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
10 64
32.2%
15 43
21.6%
14 15
 
7.5%
16 11
 
5.5%
73 6
 
3.0%
109 6
 
3.0%
110 5
 
2.5%
113 5
 
2.5%
11 4
 
2.0%
96 4
 
2.0%
Other values (19) 36
18.1%
ValueCountFrequency (%)
8 2
 
1.0%
9 2
 
1.0%
10 64
32.2%
11 4
 
2.0%
12 1
 
0.5%
14 15
 
7.5%
15 43
21.6%
16 11
 
5.5%
20 3
 
1.5%
41 1
 
0.5%
ValueCountFrequency (%)
182 2
 
1.0%
176 2
 
1.0%
116 2
 
1.0%
113 5
2.5%
110 5
2.5%
109 6
3.0%
107 1
 
0.5%
98 2
 
1.0%
96 4
2.0%
95 4
2.0%

0.28
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
28 
22
 
8
2
 
5

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row22
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 28
 
14.1%
22 8
 
4.0%
2 5
 
2.5%

Length

2023-12-10T15:36:57.529000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:36:57.767203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 28
 
14.1%
22 8
 
4.0%
2 5
 
2.5%

42
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.944724
Minimum11
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:57.954936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q114
median21
Q340
95-th percentile63
Maximum102
Range91
Interquartile range (IQR)26

Descriptive statistics

Standard deviation19.178901
Coefficient of variation (CV)0.68631566
Kurtosis2.6195868
Mean27.944724
Median Absolute Deviation (MAD)7
Skewness1.7015301
Sum5561
Variance367.83026
MonotonicityNot monotonic
2023-12-10T15:36:58.179411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
14 60
30.2%
22 32
16.1%
21 22
 
11.1%
15 8
 
4.0%
20 8
 
4.0%
19 7
 
3.5%
54 6
 
3.0%
41 6
 
3.0%
61 6
 
3.0%
62 5
 
2.5%
Other values (20) 39
19.6%
ValueCountFrequency (%)
11 2
 
1.0%
13 2
 
1.0%
14 60
30.2%
15 8
 
4.0%
16 1
 
0.5%
19 7
 
3.5%
20 8
 
4.0%
21 22
 
11.1%
22 32
16.1%
23 1
 
0.5%
ValueCountFrequency (%)
102 2
 
1.0%
99 2
 
1.0%
65 2
 
1.0%
64 2
 
1.0%
63 3
1.5%
62 5
2.5%
61 6
3.0%
60 1
 
0.5%
55 2
 
1.0%
54 6
3.0%

28.4
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.648241
Minimum15
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:58.431849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile27
Q130
median35
Q345.5
95-th percentile47
Maximum67
Range52
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.1013865
Coefficient of variation (CV)0.24174799
Kurtosis0.45094309
Mean37.648241
Median Absolute Deviation (MAD)6
Skewness0.56926163
Sum7492
Variance82.835237
MonotonicityNot monotonic
2023-12-10T15:36:58.692329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
30 44
22.1%
47 32
16.1%
31 21
10.6%
46 11
 
5.5%
45 11
 
5.5%
40 10
 
5.0%
35 9
 
4.5%
41 9
 
4.5%
27 9
 
4.5%
44 8
 
4.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
15 1
 
0.5%
16 1
 
0.5%
20 1
 
0.5%
24 2
 
1.0%
26 3
 
1.5%
27 9
 
4.5%
28 2
 
1.0%
30 44
22.1%
31 21
10.6%
32 2
 
1.0%
ValueCountFrequency (%)
67 2
 
1.0%
65 2
 
1.0%
59 3
 
1.5%
47 32
16.1%
46 11
 
5.5%
45 11
 
5.5%
44 8
 
4.0%
43 2
 
1.0%
42 4
 
2.0%
41 9
 
4.5%

41.2
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.29648
Minimum25
Maximum577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:58.907327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile40
Q1165.5
median295
Q3444
95-th percentile459
Maximum577
Range552
Interquartile range (IQR)278.5

Descriptive statistics

Standard deviation152.86809
Coefficient of variation (CV)0.52298985
Kurtosis-0.9887539
Mean292.29648
Median Absolute Deviation (MAD)149
Skewness-0.44268039
Sum58167
Variance23368.654
MonotonicityNot monotonic
2023-12-10T15:36:59.135362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
306 13
 
6.5%
289 12
 
6.0%
456 11
 
5.5%
444 11
 
5.5%
292 11
 
5.5%
43 11
 
5.5%
459 11
 
5.5%
455 11
 
5.5%
295 10
 
5.0%
457 10
 
5.0%
Other values (34) 88
44.2%
ValueCountFrequency (%)
25 1
 
0.5%
26 2
 
1.0%
39 3
 
1.5%
40 6
3.0%
41 2
 
1.0%
42 1
 
0.5%
43 11
5.5%
44 5
2.5%
46 2
 
1.0%
50 1
 
0.5%
ValueCountFrequency (%)
577 3
 
1.5%
459 11
5.5%
457 10
5.0%
456 11
5.5%
455 11
5.5%
444 11
5.5%
429 8
4.0%
413 4
 
2.0%
404 3
 
1.5%
346 1
 
0.5%

66.1
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean295.94472
Minimum41
Maximum559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:59.394288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41
5-th percentile64
Q1211.5
median294
Q3430
95-th percentile444
Maximum559
Range518
Interquartile range (IQR)218.5

Descriptive statistics

Standard deviation134.40949
Coefficient of variation (CV)0.45417093
Kurtosis-0.79396044
Mean295.94472
Median Absolute Deviation (MAD)121
Skewness-0.44663941
Sum58893
Variance18065.911
MonotonicityNot monotonic
2023-12-10T15:36:59.616981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
442 21
 
10.6%
297 13
 
6.5%
279 12
 
6.0%
441 11
 
5.5%
444 11
 
5.5%
430 11
 
5.5%
286 10
 
5.0%
282 9
 
4.5%
281 9
 
4.5%
415 8
 
4.0%
Other values (36) 84
42.2%
ValueCountFrequency (%)
41 1
 
0.5%
42 2
 
1.0%
63 3
1.5%
64 6
3.0%
66 2
 
1.0%
68 7
3.5%
69 4
2.0%
70 1
 
0.5%
71 3
1.5%
72 2
 
1.0%
ValueCountFrequency (%)
559 3
 
1.5%
444 11
5.5%
442 21
10.6%
441 11
5.5%
430 11
5.5%
415 8
 
4.0%
399 4
 
2.0%
391 3
 
1.5%
346 2
 
1.0%
335 2
 
1.0%

9.5
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.949749
Minimum6
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:36:59.822480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q137.5
median59
Q389
95-th percentile91
Maximum115
Range109
Interquartile range (IQR)51.5

Descriptive statistics

Standard deviation29.707964
Coefficient of variation (CV)0.50395404
Kurtosis-0.9327122
Mean58.949749
Median Absolute Deviation (MAD)30
Skewness-0.44425092
Sum11731
Variance882.56312
MonotonicityNot monotonic
2023-12-10T15:37:00.024536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
91 43
21.6%
58 32
16.1%
61 18
9.0%
10 17
 
8.5%
59 12
 
6.0%
9 11
 
5.5%
89 11
 
5.5%
28 8
 
4.0%
85 8
 
4.0%
65 4
 
2.0%
Other values (16) 35
17.6%
ValueCountFrequency (%)
6 3
 
1.5%
9 11
5.5%
10 17
8.5%
11 2
 
1.0%
12 2
 
1.0%
16 1
 
0.5%
26 1
 
0.5%
27 3
 
1.5%
28 8
4.0%
29 2
 
1.0%
ValueCountFrequency (%)
115 3
 
1.5%
91 43
21.6%
89 11
 
5.5%
85 8
 
4.0%
82 4
 
2.0%
81 3
 
1.5%
69 1
 
0.5%
65 4
 
2.0%
61 18
9.0%
60 2
 
1.0%

10.8
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.502513
Minimum6
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:00.225407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile10
Q133.5
median47
Q369
95-th percentile71
Maximum90
Range84
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation21.658711
Coefficient of variation (CV)0.45594874
Kurtosis-0.79320798
Mean47.502513
Median Absolute Deviation (MAD)20
Skewness-0.4496463
Sum9453
Variance469.09974
MonotonicityNot monotonic
2023-12-10T15:37:00.372851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
71 43
21.6%
45 32
16.1%
11 17
 
8.5%
48 17
 
8.5%
46 12
 
6.0%
10 11
 
5.5%
69 11
 
5.5%
31 10
 
5.0%
67 8
 
4.0%
51 4
 
2.0%
Other values (16) 34
17.1%
ValueCountFrequency (%)
6 1
 
0.5%
7 2
 
1.0%
10 11
5.5%
11 17
8.5%
12 2
 
1.0%
13 2
 
1.0%
17 1
 
0.5%
29 1
 
0.5%
30 3
 
1.5%
31 10
5.0%
ValueCountFrequency (%)
90 3
 
1.5%
71 43
21.6%
69 11
 
5.5%
67 8
 
4.0%
64 4
 
2.0%
63 3
 
1.5%
55 2
 
1.0%
54 1
 
0.5%
53 2
 
1.0%
51 4
 
2.0%

10.9
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.331658
Minimum6
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:00.537700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile9
Q131.5
median44
Q365
95-th percentile67
Maximum84
Range78
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation20.285352
Coefficient of variation (CV)0.45758162
Kurtosis-0.78963545
Mean44.331658
Median Absolute Deviation (MAD)18
Skewness-0.45498091
Sum8822
Variance411.49551
MonotonicityNot monotonic
2023-12-10T15:37:00.727586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
66 32
16.1%
42 30
15.1%
10 17
 
8.5%
45 17
 
8.5%
43 14
 
7.0%
65 11
 
5.5%
67 11
 
5.5%
9 9
 
4.5%
62 8
 
4.0%
28 7
 
3.5%
Other values (16) 43
21.6%
ValueCountFrequency (%)
6 3
 
1.5%
9 9
4.5%
10 17
8.5%
11 4
 
2.0%
12 2
 
1.0%
16 1
 
0.5%
27 1
 
0.5%
28 7
3.5%
29 6
 
3.0%
34 2
 
1.0%
ValueCountFrequency (%)
84 3
 
1.5%
67 11
 
5.5%
66 32
16.1%
65 11
 
5.5%
62 8
 
4.0%
60 4
 
2.0%
59 3
 
1.5%
51 2
 
1.0%
50 1
 
0.5%
49 2
 
1.0%

7.6
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.864322
Minimum4
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:00.927938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q128
median56
Q384
95-th percentile87
Maximum109
Range105
Interquartile range (IQR)56

Descriptive statistics

Standard deviation29.37904
Coefficient of variation (CV)0.53548533
Kurtosis-1.0153591
Mean54.864322
Median Absolute Deviation (MAD)28
Skewness-0.45336786
Sum10918
Variance863.12796
MonotonicityNot monotonic
2023-12-10T15:37:01.141150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
86 32
16.1%
55 32
16.1%
7 26
13.1%
58 18
9.0%
56 12
 
6.0%
84 11
 
5.5%
87 11
 
5.5%
20 9
 
4.5%
81 8
 
4.0%
8 5
 
2.5%
Other values (15) 35
17.6%
ValueCountFrequency (%)
4 3
 
1.5%
7 26
13.1%
8 5
 
2.5%
9 1
 
0.5%
11 1
 
0.5%
19 1
 
0.5%
20 9
 
4.5%
21 4
 
2.0%
35 2
 
1.0%
36 2
 
1.0%
ValueCountFrequency (%)
109 3
 
1.5%
87 11
 
5.5%
86 32
16.1%
84 11
 
5.5%
81 8
 
4.0%
78 4
 
2.0%
76 3
 
1.5%
65 1
 
0.5%
62 4
 
2.0%
58 18
9.0%

4.7
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.909548
Minimum3
Maximum184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:01.373723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q117.5
median94
Q3142
95-th percentile146
Maximum184
Range181
Interquartile range (IQR)124.5

Descriptive statistics

Standard deviation54.484748
Coefficient of variation (CV)0.61281099
Kurtosis-1.1329794
Mean88.909548
Median Absolute Deviation (MAD)51
Skewness-0.49732775
Sum17693
Variance2968.5877
MonotonicityNot monotonic
2023-12-10T15:37:01.588444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
4 22
11.1%
145 22
11.1%
146 21
10.6%
93 20
10.1%
98 17
8.5%
92 12
 
6.0%
94 12
 
6.0%
142 11
 
5.5%
13 10
 
5.0%
5 10
 
5.0%
Other values (14) 42
21.1%
ValueCountFrequency (%)
3 3
 
1.5%
4 22
11.1%
5 10
5.0%
7 1
 
0.5%
12 4
 
2.0%
13 10
5.0%
22 4
 
2.0%
74 2
 
1.0%
85 2
 
1.0%
92 12
6.0%
ValueCountFrequency (%)
184 3
 
1.5%
146 21
10.6%
145 22
11.1%
142 11
5.5%
137 8
 
4.0%
132 4
 
2.0%
129 3
 
1.5%
110 1
 
0.5%
104 4
 
2.0%
98 17
8.5%

18.1
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.708543
Minimum11
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:01.796121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile18
Q154.5
median67
Q397
95-th percentile101
Maximum127
Range116
Interquartile range (IQR)42.5

Descriptive statistics

Standard deviation29.129725
Coefficient of variation (CV)0.42396075
Kurtosis-0.72994486
Mean68.708543
Median Absolute Deviation (MAD)27
Skewness-0.44217954
Sum13673
Variance848.54089
MonotonicityNot monotonic
2023-12-10T15:37:02.036290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
100 32
16.1%
64 22
11.1%
67 17
 
8.5%
19 12
 
6.0%
63 12
 
6.0%
18 11
 
5.5%
101 11
 
5.5%
97 11
 
5.5%
65 10
 
5.0%
94 8
 
4.0%
Other values (21) 53
26.6%
ValueCountFrequency (%)
11 1
 
0.5%
12 2
 
1.0%
18 11
5.5%
19 12
6.0%
20 7
3.5%
22 1
 
0.5%
23 1
 
0.5%
30 1
 
0.5%
50 1
 
0.5%
51 2
 
1.0%
ValueCountFrequency (%)
127 3
 
1.5%
101 11
 
5.5%
100 32
16.1%
97 11
 
5.5%
96 2
 
1.0%
94 8
 
4.0%
93 2
 
1.0%
90 4
 
2.0%
89 3
 
1.5%
76 1
 
0.5%

0.29
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
33 
20
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
20 8
 
4.0%

Length

2023-12-10T15:37:02.250204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:02.427694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
20 8
 
4.0%

16.2
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.527638
Minimum10
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:02.574130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile15
Q145
median48
Q371
95-th percentile72
Maximum91
Range81
Interquartile range (IQR)26

Descriptive statistics

Standard deviation20.325333
Coefficient of variation (CV)0.4022617
Kurtosis-0.70828022
Mean50.527638
Median Absolute Deviation (MAD)20
Skewness-0.39906865
Sum10055
Variance413.11918
MonotonicityNot monotonic
2023-12-10T15:37:02.793764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
72 43
21.6%
46 40
20.1%
48 20
10.1%
16 14
 
7.0%
45 13
 
6.5%
70 11
 
5.5%
15 9
 
4.5%
68 8
 
4.0%
17 7
 
3.5%
51 4
 
2.0%
Other values (15) 30
15.1%
ValueCountFrequency (%)
10 3
 
1.5%
15 9
4.5%
16 14
7.0%
17 7
3.5%
19 1
 
0.5%
20 1
 
0.5%
25 1
 
0.5%
37 2
 
1.0%
42 2
 
1.0%
43 1
 
0.5%
ValueCountFrequency (%)
91 3
 
1.5%
82 2
 
1.0%
79 2
 
1.0%
72 43
21.6%
70 11
 
5.5%
68 8
 
4.0%
65 4
 
2.0%
64 3
 
1.5%
54 1
 
0.5%
51 4
 
2.0%

14.9
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.155779
Minimum9
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:02.983752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile14
Q131
median33
Q348.5
95-th percentile49
Maximum73
Range64
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.473912
Coefficient of variation (CV)0.37266276
Kurtosis-0.20311265
Mean36.155779
Median Absolute Deviation (MAD)13
Skewness-0.062429036
Sum7195
Variance181.54632
MonotonicityNot monotonic
2023-12-10T15:37:03.186997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
49 43
21.6%
31 32
16.1%
33 20
10.1%
15 16
 
8.0%
32 12
 
6.0%
48 11
 
5.5%
14 9
 
4.5%
41 8
 
4.0%
46 8
 
4.0%
44 4
 
2.0%
Other values (17) 36
18.1%
ValueCountFrequency (%)
9 3
 
1.5%
13 3
 
1.5%
14 9
4.5%
15 16
8.0%
16 2
 
1.0%
17 1
 
0.5%
18 1
 
0.5%
23 1
 
0.5%
25 2
 
1.0%
29 2
 
1.0%
ValueCountFrequency (%)
73 2
 
1.0%
71 2
 
1.0%
62 3
 
1.5%
49 43
21.6%
48 11
 
5.5%
46 8
 
4.0%
44 4
 
2.0%
43 3
 
1.5%
42 2
 
1.0%
41 8
 
4.0%

11.7
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.552764
Minimum7
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:03.381646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile11
Q134.5
median46
Q367
95-th percentile69
Maximum87
Range80
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation20.555075
Coefficient of variation (CV)0.44154359
Kurtosis-0.78032931
Mean46.552764
Median Absolute Deviation (MAD)19
Skewness-0.43373473
Sum9264
Variance422.51109
MonotonicityNot monotonic
2023-12-10T15:37:03.580888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
69 43
21.6%
44 32
16.1%
12 19
9.5%
46 19
9.5%
43 12
 
6.0%
11 11
 
5.5%
67 11
 
5.5%
33 8
 
4.0%
65 8
 
4.0%
62 4
 
2.0%
Other values (15) 32
16.1%
ValueCountFrequency (%)
7 3
 
1.5%
11 11
5.5%
12 19
9.5%
14 2
 
1.0%
18 1
 
0.5%
31 1
 
0.5%
32 3
 
1.5%
33 8
4.0%
34 2
 
1.0%
35 2
 
1.0%
ValueCountFrequency (%)
87 3
 
1.5%
69 43
21.6%
67 11
 
5.5%
65 8
 
4.0%
62 4
 
2.0%
61 3
 
1.5%
59 2
 
1.0%
57 2
 
1.0%
52 1
 
0.5%
49 4
 
2.0%

7.7
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.693467
Minimum4
Maximum188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:03.756490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q127
median96
Q3144
95-th percentile149
Maximum188
Range184
Interquartile range (IQR)117

Descriptive statistics

Standard deviation53.827554
Coefficient of variation (CV)0.58703805
Kurtosis-1.1061227
Mean91.693467
Median Absolute Deviation (MAD)52
Skewness-0.4771329
Sum18247
Variance2897.4056
MonotonicityNot monotonic
2023-12-10T15:37:04.054469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
148 32
16.1%
7 27
13.6%
94 21
10.6%
100 15
 
7.5%
96 12
 
6.0%
149 11
 
5.5%
95 11
 
5.5%
144 11
 
5.5%
20 10
 
5.0%
139 8
 
4.0%
Other values (18) 41
20.6%
ValueCountFrequency (%)
4 3
 
1.5%
6 3
 
1.5%
7 27
13.6%
8 1
 
0.5%
9 1
 
0.5%
11 1
 
0.5%
18 1
 
0.5%
19 3
 
1.5%
20 10
 
5.0%
34 2
 
1.0%
ValueCountFrequency (%)
188 3
 
1.5%
149 11
 
5.5%
148 32
16.1%
144 11
 
5.5%
139 8
 
4.0%
134 4
 
2.0%
131 3
 
1.5%
112 1
 
0.5%
106 4
 
2.0%
100 15
7.5%

285
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.8995
Minimum5
Maximum325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:04.314068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile31
Q1162
median172
Q3256
95-th percentile277
Maximum325
Range320
Interquartile range (IQR)94

Descriptive statistics

Standard deviation77.560273
Coefficient of variation (CV)0.42405952
Kurtosis-0.3968363
Mean182.8995
Median Absolute Deviation (MAD)70
Skewness-0.62700689
Sum36397
Variance6015.5959
MonotonicityNot monotonic
2023-12-10T15:37:05.088287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
257 21
 
10.6%
172 15
 
7.5%
162 12
 
6.0%
258 11
 
5.5%
164 11
 
5.5%
31 11
 
5.5%
256 11
 
5.5%
250 11
 
5.5%
166 10
 
5.0%
163 9
 
4.5%
Other values (30) 77
38.7%
ValueCountFrequency (%)
5 3
 
1.5%
31 11
5.5%
32 6
3.0%
34 2
 
1.0%
40 1
 
0.5%
42 1
 
0.5%
54 1
 
0.5%
99 2
 
1.0%
100 1
 
0.5%
102 4
 
2.0%
ValueCountFrequency (%)
325 3
 
1.5%
285 2
 
1.0%
278 3
 
1.5%
277 3
 
1.5%
273 3
 
1.5%
258 11
5.5%
257 21
10.6%
256 11
5.5%
250 11
5.5%
241 8
 
4.0%

478
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.33166
Minimum9
Maximum478
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:05.363910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile52.9
Q1158.5
median172
Q3248
95-th percentile458
Maximum478
Range469
Interquartile range (IQR)89.5

Descriptive statistics

Standard deviation92.17293
Coefficient of variation (CV)0.46474139
Kurtosis2.099638
Mean198.33166
Median Absolute Deviation (MAD)61
Skewness0.90509623
Sum39468
Variance8495.849
MonotonicityNot monotonic
2023-12-10T15:37:05.607789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
248 32
16.1%
167 16
 
8.0%
157 12
 
6.0%
250 11
 
5.5%
241 11
 
5.5%
159 11
 
5.5%
161 10
 
5.0%
158 9
 
4.5%
233 8
 
4.0%
52 6
 
3.0%
Other values (31) 73
36.7%
ValueCountFrequency (%)
9 3
1.5%
51 1
 
0.5%
52 6
3.0%
53 5
2.5%
55 5
2.5%
56 2
 
1.0%
67 1
 
0.5%
70 1
 
0.5%
90 1
 
0.5%
126 2
 
1.0%
ValueCountFrequency (%)
478 2
 
1.0%
467 3
 
1.5%
466 3
 
1.5%
458 3
 
1.5%
314 3
 
1.5%
304 2
 
1.0%
295 2
 
1.0%
250 11
 
5.5%
248 32
16.1%
241 11
 
5.5%

77.2
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.522613
Minimum1
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:05.792902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q132
median34
Q351
95-th percentile74
Maximum77
Range76
Interquartile range (IQR)19

Descriptive statistics

Standard deviation16.49941
Coefficient of variation (CV)0.42830455
Kurtosis0.18281758
Mean38.522613
Median Absolute Deviation (MAD)14
Skewness-0.066291503
Sum7666
Variance272.23055
MonotonicityNot monotonic
2023-12-10T15:37:05.993915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
51 43
21.6%
33 32
16.1%
34 18
9.0%
32 12
 
6.0%
8 11
 
5.5%
50 11
 
5.5%
28 10
 
5.0%
48 8
 
4.0%
9 8
 
4.0%
75 6
 
3.0%
Other values (16) 40
20.1%
ValueCountFrequency (%)
1 3
 
1.5%
8 11
5.5%
9 8
4.0%
11 2
 
1.0%
14 1
 
0.5%
26 2
 
1.0%
27 3
 
1.5%
28 10
5.0%
30 3
 
1.5%
32 12
6.0%
ValueCountFrequency (%)
77 2
 
1.0%
75 6
 
3.0%
74 3
 
1.5%
65 3
 
1.5%
51 43
21.6%
50 11
 
5.5%
49 2
 
1.0%
48 8
 
4.0%
47 2
 
1.0%
46 4
 
2.0%

72.2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.407035
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:06.198835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q125
median27
Q340
95-th percentile69
Maximum72
Range71
Interquartile range (IQR)15

Descriptive statistics

Standard deviation14.216229
Coefficient of variation (CV)0.45264473
Kurtosis1.5082772
Mean31.407035
Median Absolute Deviation (MAD)10
Skewness0.6465942
Sum6250
Variance202.10116
MonotonicityNot monotonic
2023-12-10T15:37:06.432301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
40 43
21.6%
26 32
16.1%
25 24
12.1%
27 21
10.6%
8 17
 
8.5%
39 11
 
5.5%
37 8
 
4.0%
71 6
 
3.0%
28 5
 
2.5%
36 4
 
2.0%
Other values (14) 28
14.1%
ValueCountFrequency (%)
1 3
 
1.5%
8 17
8.5%
9 2
 
1.0%
10 1
 
0.5%
11 1
 
0.5%
14 1
 
0.5%
20 2
 
1.0%
23 2
 
1.0%
25 24
12.1%
26 32
16.1%
ValueCountFrequency (%)
72 2
 
1.0%
71 6
 
3.0%
69 3
 
1.5%
50 3
 
1.5%
46 2
 
1.0%
45 2
 
1.0%
40 43
21.6%
39 11
 
5.5%
37 8
 
4.0%
36 4
 
2.0%

69
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.582915
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:06.649458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q124
median25
Q337
95-th percentile67
Maximum69
Range68
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.489686
Coefficient of variation (CV)0.45599584
Kurtosis1.8295962
Mean29.582915
Median Absolute Deviation (MAD)10
Skewness0.77802303
Sum5887
Variance181.97163
MonotonicityNot monotonic
2023-12-10T15:37:06.836082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
24 47
23.6%
37 32
16.1%
25 28
14.1%
8 18
 
9.0%
36 11
 
5.5%
38 11
 
5.5%
35 8
 
4.0%
68 6
 
3.0%
27 5
 
2.5%
34 4
 
2.0%
Other values (14) 29
14.6%
ValueCountFrequency (%)
1 3
 
1.5%
7 1
 
0.5%
8 18
 
9.0%
10 2
 
1.0%
13 1
 
0.5%
19 2
 
1.0%
22 2
 
1.0%
24 47
23.6%
25 28
14.1%
26 2
 
1.0%
ValueCountFrequency (%)
69 2
 
1.0%
68 6
 
3.0%
67 3
 
1.5%
47 3
 
1.5%
44 2
 
1.0%
43 2
 
1.0%
38 11
 
5.5%
37 32
16.1%
36 11
 
5.5%
35 8
 
4.0%

43.1
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.532663
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:07.023547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q131
median33
Q347
95-th percentile49
Maximum61
Range60
Interquartile range (IQR)16

Descriptive statistics

Standard deviation14.754478
Coefficient of variation (CV)0.44000318
Kurtosis-0.43258395
Mean33.532663
Median Absolute Deviation (MAD)13
Skewness-0.66862044
Sum6673
Variance217.69463
MonotonicityNot monotonic
2023-12-10T15:37:07.193390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
31 44
22.1%
49 32
16.1%
5 19
9.5%
33 17
 
8.5%
48 11
 
5.5%
47 11
 
5.5%
15 9
 
4.5%
46 8
 
4.0%
42 6
 
3.0%
43 5
 
2.5%
Other values (14) 37
18.6%
ValueCountFrequency (%)
1 3
 
1.5%
5 19
9.5%
6 2
 
1.0%
8 1
 
0.5%
15 9
4.5%
16 5
 
2.5%
25 2
 
1.0%
26 2
 
1.0%
27 2
 
1.0%
28 2
 
1.0%
ValueCountFrequency (%)
61 3
 
1.5%
49 32
16.1%
48 11
 
5.5%
47 11
 
5.5%
46 8
 
4.0%
44 4
 
2.0%
43 5
 
2.5%
42 6
 
3.0%
41 3
 
1.5%
37 1
 
0.5%

H
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
H
188 
V
 
11

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowV
2nd rowH
3rd rowH
4th rowH
5th rowH

Common Values

ValueCountFrequency (%)
H 188
94.5%
V 11
 
5.5%

Length

2023-12-10T15:37:07.394161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:07.539602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
h 188
94.5%
v 11
 
5.5%

0.30
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
33 
20
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
20 8
 
4.0%

Length

2023-12-10T15:37:07.695478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:07.839370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
20 8
 
4.0%

23.9
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.20603
Minimum0
Maximum104
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:07.968093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q122
median53
Q380
95-th percentile82
Maximum104
Range104
Interquartile range (IQR)58

Descriptive statistics

Standard deviation29.135052
Coefficient of variation (CV)0.56897698
Kurtosis-1.0190837
Mean51.20603
Median Absolute Deviation (MAD)29
Skewness-0.48019727
Sum10190
Variance848.85128
MonotonicityNot monotonic
2023-12-10T15:37:08.178315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
82 43
21.6%
52 32
16.1%
55 17
 
8.5%
3 14
 
7.0%
8 13
 
6.5%
53 12
 
6.0%
80 11
 
5.5%
22 9
 
4.5%
77 8
 
4.0%
2 7
 
3.5%
Other values (14) 33
16.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 7
3.5%
3 14
7.0%
4 1
 
0.5%
8 13
6.5%
9 1
 
0.5%
14 2
 
1.0%
15 2
 
1.0%
22 9
4.5%
23 2
 
1.0%
ValueCountFrequency (%)
104 3
 
1.5%
82 43
21.6%
80 11
 
5.5%
77 8
 
4.0%
74 4
 
2.0%
72 3
 
1.5%
62 1
 
0.5%
58 4
 
2.0%
55 17
 
8.5%
54 3
 
1.5%

183
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.824121
Minimum3
Maximum183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:08.362622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile20
Q136
median50
Q356
95-th percentile175
Maximum183
Range180
Interquartile range (IQR)20

Descriptive statistics

Standard deviation34.918292
Coefficient of variation (CV)0.6610293
Kurtosis6.9150602
Mean52.824121
Median Absolute Deviation (MAD)14
Skewness2.5642825
Sum10512
Variance1219.2871
MonotonicityNot monotonic
2023-12-10T15:37:08.606038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
36 44
22.1%
56 32
16.1%
38 17
 
8.5%
20 12
 
6.0%
55 11
 
5.5%
57 11
 
5.5%
53 8
 
4.0%
66 8
 
4.0%
21 5
 
2.5%
40 4
 
2.0%
Other values (21) 47
23.6%
ValueCountFrequency (%)
3 3
 
1.5%
20 12
 
6.0%
21 5
 
2.5%
22 2
 
1.0%
26 1
 
0.5%
27 1
 
0.5%
29 2
 
1.0%
33 2
 
1.0%
34 1
 
0.5%
36 44
22.1%
ValueCountFrequency (%)
183 2
 
1.0%
179 3
 
1.5%
178 3
 
1.5%
175 3
 
1.5%
116 2
 
1.0%
113 2
 
1.0%
71 3
 
1.5%
70 1
 
0.5%
67 2
 
1.0%
66 8
4.0%

114
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.115578
Minimum2
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:08.811458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile12.9
Q126
median36
Q340
95-th percentile110
Maximum114
Range112
Interquartile range (IQR)14

Descriptive statistics

Standard deviation21.576776
Coefficient of variation (CV)0.59743683
Kurtosis6.0730003
Mean36.115578
Median Absolute Deviation (MAD)9
Skewness2.2973909
Sum7187
Variance465.55728
MonotonicityNot monotonic
2023-12-10T15:37:08.991568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
26 44
22.1%
40 35
17.6%
27 20
10.1%
41 17
 
8.5%
39 11
 
5.5%
13 10
 
5.0%
38 8
 
4.0%
36 7
 
3.5%
12 7
 
3.5%
112 6
 
3.0%
Other values (16) 34
17.1%
ValueCountFrequency (%)
2 3
 
1.5%
12 7
 
3.5%
13 10
 
5.0%
14 2
 
1.0%
16 1
 
0.5%
17 1
 
0.5%
21 2
 
1.0%
22 1
 
0.5%
23 2
 
1.0%
26 44
22.1%
ValueCountFrequency (%)
114 2
 
1.0%
112 6
 
3.0%
110 3
 
1.5%
73 2
 
1.0%
71 2
 
1.0%
51 3
 
1.5%
44 1
 
0.5%
42 4
 
2.0%
41 17
8.5%
40 35
17.6%

91.3
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.160804
Minimum2
Maximum91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:09.197410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q118
median24
Q328
95-th percentile87
Maximum91
Range89
Interquartile range (IQR)10

Descriptive statistics

Standard deviation17.363734
Coefficient of variation (CV)0.66373091
Kurtosis6.8905426
Mean26.160804
Median Absolute Deviation (MAD)6
Skewness2.5640848
Sum5206
Variance301.49926
MonotonicityNot monotonic
2023-12-10T15:37:09.396965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
28 43
21.6%
18 37
18.6%
10 17
 
8.5%
19 15
 
7.5%
17 13
 
6.5%
27 11
 
5.5%
33 10
 
5.0%
26 8
 
4.0%
20 4
 
2.0%
25 4
 
2.0%
Other values (15) 37
18.6%
ValueCountFrequency (%)
2 3
 
1.5%
10 17
8.5%
11 2
 
1.0%
13 2
 
1.0%
14 2
 
1.0%
16 2
 
1.0%
17 13
 
6.5%
18 37
18.6%
19 15
7.5%
20 4
 
2.0%
ValueCountFrequency (%)
91 2
 
1.0%
89 3
 
1.5%
88 3
 
1.5%
87 3
 
1.5%
58 2
 
1.0%
56 2
 
1.0%
35 4
 
2.0%
33 10
 
5.0%
32 3
 
1.5%
28 43
21.6%

63.2
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.798995
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:09.576480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q124
median26
Q339
95-th percentile61
Maximum63
Range62
Interquartile range (IQR)15

Descriptive statistics

Standard deviation13.038397
Coefficient of variation (CV)0.43754486
Kurtosis0.61213706
Mean29.798995
Median Absolute Deviation (MAD)10
Skewness0.22276579
Sum5930
Variance169.9998
MonotonicityNot monotonic
2023-12-10T15:37:09.729536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
39 45
22.6%
25 32
16.1%
26 20
10.1%
7 19
9.5%
24 13
 
6.5%
38 11
 
5.5%
23 10
 
5.0%
36 8
 
4.0%
62 6
 
3.0%
22 5
 
2.5%
Other values (12) 30
15.1%
ValueCountFrequency (%)
1 3
 
1.5%
7 19
9.5%
9 2
 
1.0%
12 1
 
0.5%
20 2
 
1.0%
22 5
 
2.5%
23 10
 
5.0%
24 13
6.5%
25 32
16.1%
26 20
10.1%
ValueCountFrequency (%)
63 2
 
1.0%
62 6
 
3.0%
61 3
 
1.5%
49 3
 
1.5%
40 2
 
1.0%
39 45
22.6%
38 11
 
5.5%
36 8
 
4.0%
35 4
 
2.0%
34 3
 
1.5%

27.5
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.427136
Minimum0
Maximum105
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:09.930756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q126
median54
Q381
95-th percentile84
Maximum105
Range105
Interquartile range (IQR)55

Descriptive statistics

Standard deviation29.079888
Coefficient of variation (CV)0.55467245
Kurtosis-0.97392915
Mean52.427136
Median Absolute Deviation (MAD)27
Skewness-0.4910588
Sum10433
Variance845.63987
MonotonicityNot monotonic
2023-12-10T15:37:10.131175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
53 32
16.1%
83 32
16.1%
3 19
9.5%
56 17
8.5%
54 12
 
6.0%
10 11
 
5.5%
84 11
 
5.5%
81 11
 
5.5%
26 9
 
4.5%
78 8
 
4.0%
Other values (15) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
4 2
 
1.0%
5 1
 
0.5%
9 3
 
1.5%
10 11
5.5%
16 2
 
1.0%
17 2
 
1.0%
26 9
4.5%
27 2
 
1.0%
ValueCountFrequency (%)
105 3
 
1.5%
84 11
 
5.5%
83 32
16.1%
81 11
 
5.5%
78 8
 
4.0%
75 4
 
2.0%
74 3
 
1.5%
63 1
 
0.5%
59 4
 
2.0%
56 17
8.5%

54.1
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178.98492
Minimum2
Maximum359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:10.342257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile18
Q168.5
median183
Q3276
95-th percentile285
Maximum359
Range357
Interquartile range (IQR)207.5

Descriptive statistics

Standard deviation97.841682
Coefficient of variation (CV)0.54664761
Kurtosis-1.0827158
Mean178.98492
Median Absolute Deviation (MAD)100
Skewness-0.42589927
Sum35618
Variance9572.9947
MonotonicityNot monotonic
2023-12-10T15:37:10.556662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
284 21
 
10.6%
18 15
 
7.5%
179 12
 
6.0%
183 12
 
6.0%
283 11
 
5.5%
190 11
 
5.5%
276 11
 
5.5%
285 11
 
5.5%
181 11
 
5.5%
180 9
 
4.5%
Other values (26) 75
37.7%
ValueCountFrequency (%)
2 3
 
1.5%
18 15
7.5%
19 4
 
2.0%
39 1
 
0.5%
41 3
 
1.5%
43 8
4.0%
44 2
 
1.0%
47 1
 
0.5%
49 1
 
0.5%
52 3
 
1.5%
ValueCountFrequency (%)
359 3
 
1.5%
285 11
5.5%
284 21
10.6%
283 11
5.5%
276 11
5.5%
266 8
 
4.0%
256 4
 
2.0%
251 3
 
1.5%
214 1
 
0.5%
202 4
 
2.0%

47
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.1809
Minimum1
Maximum347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:10.780281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.9
Q159
median178
Q3267
95-th percentile276
Maximum347
Range346
Interquartile range (IQR)208

Descriptive statistics

Standard deviation96.133364
Coefficient of variation (CV)0.55832767
Kurtosis-1.0977353
Mean172.1809
Median Absolute Deviation (MAD)96
Skewness-0.44258892
Sum34264
Variance9241.6237
MonotonicityNot monotonic
2023-12-10T15:37:10.998840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
274 32
16.1%
174 21
 
10.6%
184 15
 
7.5%
16 12
 
6.0%
176 11
 
5.5%
267 11
 
5.5%
276 11
 
5.5%
178 10
 
5.0%
258 8
 
4.0%
15 7
 
3.5%
Other values (24) 61
30.7%
ValueCountFrequency (%)
1 3
 
1.5%
15 7
3.5%
16 12
6.0%
34 1
 
0.5%
35 3
 
1.5%
36 4
 
2.0%
37 6
3.0%
40 1
 
0.5%
42 1
 
0.5%
45 3
 
1.5%
ValueCountFrequency (%)
347 3
 
1.5%
276 11
 
5.5%
274 32
16.1%
267 11
 
5.5%
258 8
 
4.0%
248 4
 
2.0%
243 3
 
1.5%
208 1
 
0.5%
196 4
 
2.0%
185 2
 
1.0%

18.2
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:11.213122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q122
median37
Q355
95-th percentile57
Maximum71
Range70
Interquartile range (IQR)33

Descriptive statistics

Standard deviation17.884308
Coefficient of variation (CV)0.48335968
Kurtosis-0.93347032
Mean37
Median Absolute Deviation (MAD)18
Skewness-0.39095272
Sum7363
Variance319.84848
MonotonicityNot monotonic
2023-12-10T15:37:11.414275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
36 34
17.1%
57 32
16.1%
6 19
9.5%
38 19
9.5%
56 11
 
5.5%
37 11
 
5.5%
55 11
 
5.5%
14 10
 
5.0%
17 9
 
4.5%
53 8
 
4.0%
Other values (15) 35
17.6%
ValueCountFrequency (%)
1 3
 
1.5%
6 19
9.5%
13 4
 
2.0%
14 10
5.0%
15 1
 
0.5%
16 1
 
0.5%
17 9
4.5%
18 2
 
1.0%
20 1
 
0.5%
24 2
 
1.0%
ValueCountFrequency (%)
71 3
 
1.5%
57 32
16.1%
56 11
 
5.5%
55 11
 
5.5%
53 8
 
4.0%
51 4
 
2.0%
50 3
 
1.5%
43 1
 
0.5%
40 4
 
2.0%
38 19
9.5%

9.6
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.944724
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:11.799167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111.5
median29
Q343
95-th percentile44
Maximum56
Range56
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation15.037057
Coefficient of variation (CV)0.53810005
Kurtosis-1.0531861
Mean27.944724
Median Absolute Deviation (MAD)15
Skewness-0.43325257
Sum5561
Variance226.11309
MonotonicityNot monotonic
2023-12-10T15:37:12.124714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
44 43
21.6%
28 34
17.1%
3 19
9.5%
30 17
 
8.5%
7 14
 
7.0%
29 13
 
6.5%
9 11
 
5.5%
43 11
 
5.5%
41 8
 
4.0%
31 4
 
2.0%
Other values (11) 25
12.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
7 14
7.0%
8 2
 
1.0%
9 11
5.5%
11 1
 
0.5%
12 2
 
1.0%
13 2
 
1.0%
22 2
 
1.0%
26 2
 
1.0%
ValueCountFrequency (%)
56 3
 
1.5%
44 43
21.6%
43 11
 
5.5%
41 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
33 1
 
0.5%
31 4
 
2.0%
30 17
 
8.5%
29 13
 
6.5%

0.31
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
12
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
12 8
 
4.0%

Length

2023-12-10T15:37:12.358992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:12.558240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
12 8
 
4.0%

12.7
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.773869
Minimum0
Maximum52
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:12.739997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q115.5
median27
Q340
95-th percentile41
Maximum52
Range52
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation13.133892
Coefficient of variation (CV)0.49054888
Kurtosis-0.92466125
Mean26.773869
Median Absolute Deviation (MAD)13
Skewness-0.40886646
Sum5328
Variance172.49911
MonotonicityNot monotonic
2023-12-10T15:37:12.950153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
41 43
21.6%
26 32
16.1%
4 19
9.5%
28 17
 
8.5%
27 15
 
7.5%
12 11
 
5.5%
40 11
 
5.5%
10 10
 
5.0%
39 8
 
4.0%
37 7
 
3.5%
Other values (10) 26
13.1%
ValueCountFrequency (%)
0 3
 
1.5%
4 19
9.5%
9 4
 
2.0%
10 10
5.0%
11 2
 
1.0%
12 11
5.5%
14 1
 
0.5%
17 4
 
2.0%
21 2
 
1.0%
24 2
 
1.0%
ValueCountFrequency (%)
52 3
 
1.5%
41 43
21.6%
40 11
 
5.5%
39 8
 
4.0%
37 7
 
3.5%
31 1
 
0.5%
29 4
 
2.0%
28 17
 
8.5%
27 15
 
7.5%
26 32
16.1%

10.10
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.864322
Minimum0
Maximum68
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:13.131761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q113
median35
Q352
95-th percentile54
Maximum68
Range68
Interquartile range (IQR)39

Descriptive statistics

Standard deviation18.618897
Coefficient of variation (CV)0.54980864
Kurtosis-1.0782882
Mean33.864322
Median Absolute Deviation (MAD)19
Skewness-0.42753996
Sum6739
Variance346.66332
MonotonicityNot monotonic
2023-12-10T15:37:13.331837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
54 43
21.6%
34 32
16.1%
36 20
10.1%
3 15
 
7.5%
8 13
 
6.5%
35 12
 
6.0%
10 11
 
5.5%
52 11
 
5.5%
50 8
 
4.0%
48 7
 
3.5%
Other values (11) 27
13.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 15
7.5%
4 4
 
2.0%
7 1
 
0.5%
8 13
6.5%
9 2
 
1.0%
10 11
5.5%
12 1
 
0.5%
14 4
 
2.0%
27 2
 
1.0%
ValueCountFrequency (%)
68 3
 
1.5%
54 43
21.6%
52 11
 
5.5%
50 8
 
4.0%
48 7
 
3.5%
41 1
 
0.5%
38 4
 
2.0%
36 20
10.1%
35 12
 
6.0%
34 32
16.1%

5.1
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.768844
Minimum0
Maximum114
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:13.617983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16.5
median58
Q388
95-th percentile91
Maximum114
Range114
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation34.273659
Coefficient of variation (CV)0.62578751
Kurtosis-1.1488219
Mean54.768844
Median Absolute Deviation (MAD)32
Skewness-0.50301846
Sum10899
Variance1174.6837
MonotonicityNot monotonic
2023-12-10T15:37:13.925149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
90 32
16.1%
58 23
11.6%
57 21
10.6%
2 19
9.5%
61 17
8.5%
4 15
7.5%
5 12
 
6.0%
88 11
 
5.5%
91 11
 
5.5%
85 8
 
4.0%
Other values (11) 30
15.1%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
9.5%
4 15
7.5%
5 12
6.0%
6 1
 
0.5%
7 4
 
2.0%
46 2
 
1.0%
52 2
 
1.0%
57 21
10.6%
58 23
11.6%
ValueCountFrequency (%)
114 3
 
1.5%
91 11
 
5.5%
90 32
16.1%
88 11
 
5.5%
85 8
 
4.0%
82 4
 
2.0%
80 3
 
1.5%
68 1
 
0.5%
64 4
 
2.0%
61 17
8.5%

23.10
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.115578
Minimum1
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:14.120246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q128.5
median40
Q360
95-th percentile62
Maximum79
Range78
Interquartile range (IQR)31.5

Descriptive statistics

Standard deviation18.861583
Coefficient of variation (CV)0.45874541
Kurtosis-0.80075169
Mean41.115578
Median Absolute Deviation (MAD)18
Skewness-0.38208875
Sum8182
Variance355.7593
MonotonicityNot monotonic
2023-12-10T15:37:14.315621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
62 43
21.6%
40 23
11.6%
39 21
10.6%
42 17
 
8.5%
8 12
 
6.0%
60 11
 
5.5%
18 10
 
5.0%
22 9
 
4.5%
58 8
 
4.0%
7 7
 
3.5%
Other values (15) 38
19.1%
ValueCountFrequency (%)
1 3
 
1.5%
7 7
3.5%
8 12
6.0%
16 1
 
0.5%
17 3
 
1.5%
18 10
5.0%
20 2
 
1.0%
22 9
4.5%
23 2
 
1.0%
26 1
 
0.5%
ValueCountFrequency (%)
79 3
 
1.5%
62 43
21.6%
60 11
 
5.5%
58 8
 
4.0%
56 4
 
2.0%
55 3
 
1.5%
47 1
 
0.5%
44 4
 
2.0%
42 17
 
8.5%
41 3
 
1.5%

8.12
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.140704
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:14.512484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median29
Q343
95-th percentile45
Maximum56
Range56
Interquartile range (IQR)33

Descriptive statistics

Standard deviation15.571935
Coefficient of variation (CV)0.55335983
Kurtosis-1.1083242
Mean28.140704
Median Absolute Deviation (MAD)16
Skewness-0.43264073
Sum5600
Variance242.48515
MonotonicityNot monotonic
2023-12-10T15:37:14.697114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
45 43
21.6%
29 23
11.6%
28 21
10.6%
30 20
10.1%
3 19
9.5%
6 14
 
7.0%
43 11
 
5.5%
8 8
 
4.0%
42 8
 
4.0%
40 7
 
3.5%
Other values (9) 25
12.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
6 14
7.0%
7 5
 
2.5%
8 8
 
4.0%
9 1
 
0.5%
11 4
 
2.0%
23 2
 
1.0%
26 2
 
1.0%
28 21
10.6%
ValueCountFrequency (%)
56 3
 
1.5%
45 43
21.6%
43 11
 
5.5%
42 8
 
4.0%
40 7
 
3.5%
34 1
 
0.5%
32 4
 
2.0%
30 20
10.1%
29 23
11.6%
28 21
10.6%

9.7
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.874372
Minimum0
Maximum39
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:14.902352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median20
Q330
95-th percentile31
Maximum39
Range39
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.9457771
Coefficient of variation (CV)0.50043227
Kurtosis-0.97840742
Mean19.874372
Median Absolute Deviation (MAD)10
Skewness-0.37585272
Sum3955
Variance98.918481
MonotonicityNot monotonic
2023-12-10T15:37:15.633616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
20 37
18.6%
31 32
16.1%
30 22
11.1%
19 21
10.6%
3 19
9.5%
7 14
 
7.0%
8 10
 
5.0%
29 8
 
4.0%
21 6
 
3.0%
12 4
 
2.0%
Other values (11) 26
13.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
6 1
 
0.5%
7 14
7.0%
8 10
5.0%
9 2
 
1.0%
10 1
 
0.5%
12 4
 
2.0%
16 2
 
1.0%
18 2
 
1.0%
ValueCountFrequency (%)
39 3
 
1.5%
31 32
16.1%
30 22
11.1%
29 8
 
4.0%
28 4
 
2.0%
27 3
 
1.5%
23 1
 
0.5%
22 4
 
2.0%
21 6
 
3.0%
20 37
18.6%

4.8
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.321608
Minimum0
Maximum54
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:15.853117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.5
median28
Q342
95-th percentile43
Maximum54
Range54
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation15.860092
Coefficient of variation (CV)0.60255026
Kurtosis-1.1393284
Mean26.321608
Median Absolute Deviation (MAD)15
Skewness-0.47612506
Sum5238
Variance251.54251
MonotonicityNot monotonic
2023-12-10T15:37:16.073322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
43 43
21.6%
27 32
16.1%
4 19
9.5%
29 17
 
8.5%
1 15
 
7.5%
28 15
 
7.5%
42 11
 
5.5%
3 8
 
4.0%
40 8
 
4.0%
6 4
 
2.0%
Other values (10) 27
13.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 15
7.5%
2 4
 
2.0%
3 8
 
4.0%
4 19
9.5%
5 1
 
0.5%
6 4
 
2.0%
22 2
 
1.0%
25 2
 
1.0%
27 32
16.1%
ValueCountFrequency (%)
54 3
 
1.5%
43 43
21.6%
42 11
 
5.5%
40 8
 
4.0%
39 4
 
2.0%
38 3
 
1.5%
32 1
 
0.5%
30 4
 
2.0%
29 17
 
8.5%
28 15
 
7.5%

3.3
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.452261
Minimum0
Maximum117
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:16.256695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13.5
median60
Q390
95-th percentile93
Maximum117
Range117
Interquartile range (IQR)86.5

Descriptive statistics

Standard deviation35.687143
Coefficient of variation (CV)0.64356516
Kurtosis-1.1450299
Mean55.452261
Median Absolute Deviation (MAD)32
Skewness-0.51673394
Sum11035
Variance1273.5722
MonotonicityNot monotonic
2023-12-10T15:37:16.480833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
92 32
16.1%
58 21
10.6%
1 19
9.5%
62 17
8.5%
3 14
 
7.0%
2 14
 
7.0%
59 13
 
6.5%
90 11
 
5.5%
93 11
 
5.5%
60 10
 
5.0%
Other values (11) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
2 14
7.0%
3 14
7.0%
4 4
 
2.0%
47 2
 
1.0%
53 2
 
1.0%
58 21
10.6%
59 13
6.5%
60 10
5.0%
ValueCountFrequency (%)
117 3
 
1.5%
93 11
 
5.5%
92 32
16.1%
90 11
 
5.5%
86 8
 
4.0%
83 4
 
2.0%
82 3
 
1.5%
70 1
 
0.5%
66 4
 
2.0%
62 17
8.5%

74.1
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.512563
Minimum1
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:16.675241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11
Q162
median66
Q396
95-th percentile99
Maximum124
Range123
Interquartile range (IQR)34

Descriptive statistics

Standard deviation28.915037
Coefficient of variation (CV)0.42829121
Kurtosis-0.34112275
Mean67.512563
Median Absolute Deviation (MAD)26
Skewness-0.61795053
Sum13435
Variance836.07939
MonotonicityNot monotonic
2023-12-10T15:37:16.880186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
98 32
16.1%
63 22
11.1%
11 19
9.5%
66 18
 
9.0%
62 12
 
6.0%
96 11
 
5.5%
99 11
 
5.5%
64 10
 
5.0%
30 9
 
4.5%
92 8
 
4.0%
Other values (18) 47
23.6%
ValueCountFrequency (%)
1 3
 
1.5%
11 19
9.5%
29 3
 
1.5%
30 9
4.5%
31 2
 
1.0%
35 1
 
0.5%
37 1
 
0.5%
47 1
 
0.5%
50 2
 
1.0%
56 2
 
1.0%
ValueCountFrequency (%)
124 3
 
1.5%
99 11
 
5.5%
98 32
16.1%
96 11
 
5.5%
92 8
 
4.0%
88 4
 
2.0%
87 3
 
1.5%
74 3
 
1.5%
73 6
 
3.0%
71 3
 
1.5%

95
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.894472
Minimum2
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:17.057846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile14
Q160
median64
Q392
95-th percentile95
Maximum120
Range118
Interquartile range (IQR)32

Descriptive statistics

Standard deviation26.910137
Coefficient of variation (CV)0.3963524
Kurtosis-0.26712473
Mean67.894472
Median Absolute Deviation (MAD)26
Skewness-0.65442065
Sum13511
Variance724.15547
MonotonicityNot monotonic
2023-12-10T15:37:17.260952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
95 45
22.6%
60 31
15.6%
92 17
 
8.5%
64 15
 
7.5%
61 14
 
7.0%
14 12
 
6.0%
89 8
 
4.0%
38 7
 
3.5%
15 7
 
3.5%
63 5
 
2.5%
Other values (15) 38
19.1%
ValueCountFrequency (%)
2 3
 
1.5%
14 12
6.0%
15 7
3.5%
37 3
 
1.5%
38 7
3.5%
39 4
 
2.0%
45 1
 
0.5%
47 1
 
0.5%
48 2
 
1.0%
55 2
 
1.0%
ValueCountFrequency (%)
120 3
 
1.5%
95 45
22.6%
92 17
 
8.5%
91 3
 
1.5%
89 8
 
4.0%
86 4
 
2.0%
84 3
 
1.5%
73 2
 
1.0%
72 1
 
0.5%
71 2
 
1.0%

0.32
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
186 
8
 
8
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 186
93.5%
8 8
 
4.0%
1 5
 
2.5%

Length

2023-12-10T15:37:17.491630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:17.651554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
93.5%
8 8
 
4.0%
1 5
 
2.5%

19.3
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.969849
Minimum0
Maximum25
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:17.810731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median13
Q319
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.6362011
Coefficient of variation (CV)0.40345468
Kurtosis-0.32109772
Mean13.969849
Median Absolute Deviation (MAD)5
Skewness-0.59089393
Sum2780
Variance31.766763
MonotonicityNot monotonic
2023-12-10T15:37:17.997468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20 43
21.6%
13 34
17.1%
12 31
15.6%
18 21
10.6%
3 19
9.5%
19 13
 
6.5%
8 11
 
5.5%
14 6
 
3.0%
0 3
 
1.5%
15 3
 
1.5%
Other values (6) 15
 
7.5%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
7 3
 
1.5%
8 11
 
5.5%
9 2
 
1.0%
10 2
 
1.0%
11 2
 
1.0%
12 31
15.6%
13 34
17.1%
14 6
 
3.0%
ValueCountFrequency (%)
25 3
 
1.5%
20 43
21.6%
19 13
 
6.5%
18 21
10.6%
17 3
 
1.5%
15 3
 
1.5%
14 6
 
3.0%
13 34
17.1%
12 31
15.6%
11 2
 
1.0%

19.4
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.361809
Minimum0
Maximum19
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:18.176332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median10
Q315
95-th percentile18
Maximum19
Range19
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.2699027
Coefficient of variation (CV)0.37581187
Kurtosis-0.053129784
Mean11.361809
Median Absolute Deviation (MAD)4
Skewness-0.56331605
Sum2261
Variance18.232069
MonotonicityNot monotonic
2023-12-10T15:37:18.375120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 64
32.2%
15 56
28.1%
3 19
 
9.5%
14 17
 
8.5%
8 13
 
6.5%
18 9
 
4.5%
19 5
 
2.5%
11 4
 
2.0%
9 4
 
2.0%
7 3
 
1.5%
Other values (2) 5
 
2.5%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
 
9.5%
7 3
 
1.5%
8 13
 
6.5%
9 4
 
2.0%
10 64
32.2%
11 4
 
2.0%
12 2
 
1.0%
14 17
 
8.5%
15 56
28.1%
ValueCountFrequency (%)
19 5
 
2.5%
18 9
 
4.5%
15 56
28.1%
14 17
 
8.5%
12 2
 
1.0%
11 4
 
2.0%
10 64
32.2%
9 4
 
2.0%
8 13
 
6.5%
7 3
 
1.5%

18.3
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.582915
Minimum0
Maximum18
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:18.561540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median10
Q314
95-th percentile17
Maximum18
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.0065489
Coefficient of variation (CV)0.37858653
Kurtosis-0.17460589
Mean10.582915
Median Absolute Deviation (MAD)3
Skewness-0.47004777
Sum2106
Variance16.052434
MonotonicityNot monotonic
2023-12-10T15:37:18.741997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
14 56
28.1%
9 47
23.6%
10 22
 
11.1%
3 19
 
9.5%
13 17
 
8.5%
7 16
 
8.0%
17 9
 
4.5%
18 5
 
2.5%
0 3
 
1.5%
8 3
 
1.5%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
 
9.5%
7 16
 
8.0%
8 3
 
1.5%
9 47
23.6%
10 22
 
11.1%
11 2
 
1.0%
13 17
 
8.5%
14 56
28.1%
17 9
 
4.5%
ValueCountFrequency (%)
18 5
 
2.5%
17 9
 
4.5%
14 56
28.1%
13 17
 
8.5%
11 2
 
1.0%
10 22
 
11.1%
9 47
23.6%
8 3
 
1.5%
7 16
 
8.0%
3 19
 
9.5%

12.8
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.678392
Minimum0
Maximum23
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:18.946007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median12
Q318
95-th percentile19
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.6396043
Coefficient of variation (CV)0.44482016
Kurtosis-0.50038491
Mean12.678392
Median Absolute Deviation (MAD)5
Skewness-0.55889063
Sum2523
Variance31.805137
MonotonicityNot monotonic
2023-12-10T15:37:19.138217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
12 60
30.2%
19 43
21.6%
13 19
 
9.5%
2 19
 
9.5%
5 14
 
7.0%
17 12
 
6.0%
18 11
 
5.5%
9 4
 
2.0%
0 3
 
1.5%
16 3
 
1.5%
Other values (6) 11
 
5.5%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
 
9.5%
5 14
 
7.0%
6 2
 
1.0%
8 1
 
0.5%
9 4
 
2.0%
10 2
 
1.0%
11 2
 
1.0%
12 60
30.2%
13 19
 
9.5%
ValueCountFrequency (%)
23 3
 
1.5%
19 43
21.6%
18 11
 
5.5%
17 12
 
6.0%
16 3
 
1.5%
14 1
 
0.5%
13 19
 
9.5%
12 60
30.2%
11 2
 
1.0%
10 2
 
1.0%

6.1
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.336683
Minimum0
Maximum40
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:19.313748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median20
Q330
95-th percentile31
Maximum40
Range40
Interquartile range (IQR)24

Descriptive statistics

Standard deviation11.146056
Coefficient of variation (CV)0.57642024
Kurtosis-1.0645393
Mean19.336683
Median Absolute Deviation (MAD)11
Skewness-0.47925806
Sum3848
Variance124.23456
MonotonicityNot monotonic
2023-12-10T15:37:19.504122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20 44
22.1%
31 43
21.6%
21 20
10.1%
1 19
9.5%
3 16
 
8.0%
6 11
 
5.5%
30 11
 
5.5%
29 8
 
4.0%
28 7
 
3.5%
22 4
 
2.0%
Other values (7) 16
 
8.0%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
3 16
 
8.0%
4 1
 
0.5%
5 4
 
2.0%
6 11
 
5.5%
16 2
 
1.0%
18 2
 
1.0%
20 44
22.1%
21 20
10.1%
ValueCountFrequency (%)
40 3
 
1.5%
31 43
21.6%
30 11
 
5.5%
29 8
 
4.0%
28 7
 
3.5%
24 1
 
0.5%
22 4
 
2.0%
21 20
10.1%
20 44
22.1%
18 2
 
1.0%

30.1
Real number (ℝ)

Distinct17
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.316583
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:19.700615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q114
median14
Q321
95-th percentile28
Maximum30
Range29
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.293758
Coefficient of variation (CV)0.3857277
Kurtosis0.024988787
Mean16.316583
Median Absolute Deviation (MAD)6
Skewness-0.24532803
Sum3247
Variance39.61139
MonotonicityNot monotonic
2023-12-10T15:37:19.892667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
14 65
32.7%
21 43
21.6%
12 16
 
8.0%
22 13
 
6.5%
4 12
 
6.0%
20 8
 
4.0%
19 8
 
4.0%
5 7
 
3.5%
29 6
 
3.0%
15 5
 
2.5%
Other values (7) 16
 
8.0%
ValueCountFrequency (%)
1 3
 
1.5%
4 12
 
6.0%
5 7
 
3.5%
11 2
 
1.0%
12 16
 
8.0%
14 65
32.7%
15 5
 
2.5%
16 1
 
0.5%
19 8
 
4.0%
20 8
 
4.0%
ValueCountFrequency (%)
30 2
 
1.0%
29 6
 
3.0%
28 3
 
1.5%
27 3
 
1.5%
23 2
 
1.0%
22 13
 
6.5%
21 43
21.6%
20 8
 
4.0%
19 8
 
4.0%
16 1
 
0.5%

22.7
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.758794
Minimum0
Maximum22
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:20.100136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median10
Q315
95-th percentile21
Maximum22
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.6321353
Coefficient of variation (CV)0.39392945
Kurtosis0.16911735
Mean11.758794
Median Absolute Deviation (MAD)4
Skewness-0.22857459
Sum2340
Variance21.456677
MonotonicityNot monotonic
2023-12-10T15:37:20.392503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10 65
32.7%
15 43
21.6%
3 19
 
9.5%
14 16
 
8.0%
9 16
 
8.0%
16 11
 
5.5%
21 9
 
4.5%
11 5
 
2.5%
17 4
 
2.0%
20 3
 
1.5%
Other values (4) 8
 
4.0%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
 
9.5%
8 2
 
1.0%
9 16
 
8.0%
10 65
32.7%
11 5
 
2.5%
12 1
 
0.5%
14 16
 
8.0%
15 43
21.6%
16 11
 
5.5%
ValueCountFrequency (%)
22 2
 
1.0%
21 9
 
4.5%
20 3
 
1.5%
17 4
 
2.0%
16 11
 
5.5%
15 43
21.6%
14 16
 
8.0%
12 1
 
0.5%
11 5
 
2.5%
10 65
32.7%

22.8
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0351759
Minimum0
Maximum22
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:20.634746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median9
Q311
95-th percentile21
Maximum22
Range22
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.1443364
Coefficient of variation (CV)0.45868907
Kurtosis2.3554143
Mean9.0351759
Median Absolute Deviation (MAD)2
Skewness1.0993317
Sum1798
Variance17.175524
MonotonicityNot monotonic
2023-12-10T15:37:21.076967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 64
32.2%
11 44
22.1%
10 24
 
12.1%
3 19
 
9.5%
9 17
 
8.5%
21 9
 
4.5%
8 5
 
2.5%
17 4
 
2.0%
13 3
 
1.5%
0 3
 
1.5%
Other values (4) 7
 
3.5%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
 
9.5%
5 2
 
1.0%
6 2
 
1.0%
7 64
32.2%
8 5
 
2.5%
9 17
 
8.5%
10 24
 
12.1%
11 44
22.1%
13 3
 
1.5%
ValueCountFrequency (%)
22 2
 
1.0%
21 9
 
4.5%
17 4
 
2.0%
14 1
 
0.5%
13 3
 
1.5%
11 44
22.1%
10 24
 
12.1%
9 17
 
8.5%
8 5
 
2.5%
7 64
32.2%

13.7
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.371859
Minimum0
Maximum19
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:21.574817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median10
Q314
95-th percentile15
Maximum19
Range19
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.3289502
Coefficient of variation (CV)0.41737456
Kurtosis-0.3609395
Mean10.371859
Median Absolute Deviation (MAD)4
Skewness-0.60043568
Sum2064
Variance18.73981
MonotonicityNot monotonic
2023-12-10T15:37:21.921254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
15 43
21.6%
9 36
18.1%
10 34
17.1%
2 19
9.5%
14 19
9.5%
13 18
9.0%
5 14
 
7.0%
11 5
 
2.5%
19 3
 
1.5%
0 3
 
1.5%
Other values (3) 5
 
2.5%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
9.5%
5 14
 
7.0%
6 1
 
0.5%
7 3
 
1.5%
8 1
 
0.5%
9 36
18.1%
10 34
17.1%
11 5
 
2.5%
13 18
9.0%
ValueCountFrequency (%)
19 3
 
1.5%
15 43
21.6%
14 19
9.5%
13 18
9.0%
11 5
 
2.5%
10 34
17.1%
9 36
18.1%
8 1
 
0.5%
7 3
 
1.5%
6 1
 
0.5%

8.13
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.869347
Minimum0
Maximum40
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:22.134962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median21
Q331
95-th percentile32
Maximum40
Range40
Interquartile range (IQR)23

Descriptive statistics

Standard deviation11.335696
Coefficient of variation (CV)0.57051174
Kurtosis-1.0616467
Mean19.869347
Median Absolute Deviation (MAD)11
Skewness-0.45754129
Sum3954
Variance128.498
MonotonicityNot monotonic
2023-12-10T15:37:22.381736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
32 43
21.6%
20 34
17.1%
21 30
15.1%
1 19
9.5%
3 14
 
7.0%
31 11
 
5.5%
8 8
 
4.0%
30 8
 
4.0%
23 4
 
2.0%
29 4
 
2.0%
Other values (10) 24
12.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
3 14
7.0%
4 2
 
1.0%
5 1
 
0.5%
6 4
 
2.0%
7 3
 
1.5%
8 8
4.0%
16 2
 
1.0%
18 2
 
1.0%
ValueCountFrequency (%)
40 3
 
1.5%
32 43
21.6%
31 11
 
5.5%
30 8
 
4.0%
29 4
 
2.0%
28 3
 
1.5%
24 1
 
0.5%
23 4
 
2.0%
21 30
15.1%
20 34
17.1%

0.33
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
186 
8
 
8
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 186
93.5%
8 8
 
4.0%
1 5
 
2.5%

Length

2023-12-10T15:37:22.646400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:22.833549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
93.5%
8 8
 
4.0%
1 5
 
2.5%

158
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.49246
Minimum3
Maximum172
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:22.995345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33.9
Q186
median91
Q3136
95-th percentile154
Maximum172
Range169
Interquartile range (IQR)50

Descriptive statistics

Standard deviation36.062217
Coefficient of variation (CV)0.3484526
Kurtosis-0.070234542
Mean103.49246
Median Absolute Deviation (MAD)37
Skewness-0.5643271
Sum20595
Variance1300.4835
MonotonicityNot monotonic
2023-12-10T15:37:23.208094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
86 24
12.1%
136 22
11.1%
137 21
 
10.6%
91 18
 
9.0%
88 14
 
7.0%
87 11
 
5.5%
133 11
 
5.5%
34 10
 
5.0%
128 8
 
4.0%
33 7
 
3.5%
Other values (22) 53
26.6%
ValueCountFrequency (%)
3 1
 
0.5%
4 2
 
1.0%
33 7
 
3.5%
34 10
5.0%
36 2
 
1.0%
70 2
 
1.0%
77 1
 
0.5%
79 2
 
1.0%
85 1
 
0.5%
86 24
12.1%
ValueCountFrequency (%)
172 3
 
1.5%
158 2
 
1.0%
155 3
 
1.5%
154 3
 
1.5%
152 3
 
1.5%
144 2
 
1.0%
139 2
 
1.0%
137 21
10.6%
136 22
11.1%
133 11
5.5%

246
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.47236
Minimum5
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:23.410620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile52
Q185
median119
Q3132
95-th percentile236
Maximum246
Range241
Interquartile range (IQR)47

Descriptive statistics

Standard deviation46.273866
Coefficient of variation (CV)0.40779856
Kurtosis1.6400062
Mean113.47236
Median Absolute Deviation (MAD)30
Skewness0.96344591
Sum22581
Variance2141.2707
MonotonicityNot monotonic
2023-12-10T15:37:23.625238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
132 33
16.6%
84 21
 
10.6%
89 17
 
8.5%
85 13
 
6.5%
128 11
 
5.5%
133 11
 
5.5%
52 10
 
5.0%
86 10
 
5.0%
124 8
 
4.0%
240 6
 
3.0%
Other values (23) 59
29.6%
ValueCountFrequency (%)
5 3
 
1.5%
51 1
 
0.5%
52 10
5.0%
53 1
 
0.5%
54 5
 
2.5%
55 2
 
1.0%
67 2
 
1.0%
77 2
 
1.0%
84 21
10.6%
85 13
6.5%
ValueCountFrequency (%)
246 2
 
1.0%
240 6
3.0%
236 3
1.5%
224 2
 
1.0%
216 2
 
1.0%
178 1
 
0.5%
167 3
1.5%
142 2
 
1.0%
139 2
 
1.0%
138 5
2.5%

32
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.603015
Minimum1
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:23.906470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q117
median18
Q327
95-th percentile31
Maximum34
Range33
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.1037187
Coefficient of variation (CV)0.34479025
Kurtosis-0.10787224
Mean20.603015
Median Absolute Deviation (MAD)8
Skewness-0.53675742
Sum4100
Variance50.462819
MonotonicityNot monotonic
2023-12-10T15:37:24.204417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
18 43
21.6%
27 43
21.6%
17 36
18.1%
7 19
9.5%
26 19
9.5%
31 6
 
3.0%
19 4
 
2.0%
25 4
 
2.0%
1 3
 
1.5%
34 3
 
1.5%
Other values (10) 19
9.5%
ValueCountFrequency (%)
1 3
 
1.5%
7 19
9.5%
14 2
 
1.0%
15 1
 
0.5%
16 2
 
1.0%
17 36
18.1%
18 43
21.6%
19 4
 
2.0%
21 1
 
0.5%
23 1
 
0.5%
ValueCountFrequency (%)
34 3
 
1.5%
32 2
 
1.0%
31 6
 
3.0%
30 3
 
1.5%
29 2
 
1.0%
28 2
 
1.0%
27 43
21.6%
26 19
9.5%
25 4
 
2.0%
24 3
 
1.5%

44.1
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.79397
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:24.471999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q114
median19
Q321
95-th percentile42
Maximum44
Range43
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.3848567
Coefficient of variation (CV)0.44614612
Kurtosis2.2743843
Mean18.79397
Median Absolute Deviation (MAD)5
Skewness1.3360326
Sum3740
Variance70.305822
MonotonicityNot monotonic
2023-12-10T15:37:24.672708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
21 55
27.6%
14 43
21.6%
13 21
 
10.6%
9 12
 
6.0%
25 11
 
5.5%
20 8
 
4.0%
19 7
 
3.5%
10 7
 
3.5%
43 6
 
3.0%
15 4
 
2.0%
Other values (11) 25
12.6%
ValueCountFrequency (%)
1 3
 
1.5%
9 12
 
6.0%
10 7
 
3.5%
11 2
 
1.0%
12 2
 
1.0%
13 21
10.6%
14 43
21.6%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
ValueCountFrequency (%)
44 2
 
1.0%
43 6
 
3.0%
42 3
 
1.5%
40 2
 
1.0%
39 2
 
1.0%
32 1
 
0.5%
27 3
 
1.5%
25 11
 
5.5%
24 4
 
2.0%
21 55
27.6%

45
Real number (ℝ)

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.155779
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:24.858333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q113
median18
Q320
95-th percentile43
Maximum45
Range44
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.5085135
Coefficient of variation (CV)0.46863941
Kurtosis2.7222457
Mean18.155779
Median Absolute Deviation (MAD)5
Skewness1.5379857
Sum3613
Variance72.394802
MonotonicityNot monotonic
2023-12-10T15:37:25.049555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
13 64
32.2%
20 43
21.6%
19 19
 
9.5%
25 12
 
6.0%
9 11
 
5.5%
10 10
 
5.0%
43 9
 
4.5%
18 7
 
3.5%
14 4
 
2.0%
24 4
 
2.0%
Other values (9) 16
 
8.0%
ValueCountFrequency (%)
1 3
 
1.5%
9 11
 
5.5%
10 10
 
5.0%
12 2
 
1.0%
13 64
32.2%
14 4
 
2.0%
15 1
 
0.5%
18 7
 
3.5%
19 19
 
9.5%
20 43
21.6%
ValueCountFrequency (%)
45 2
 
1.0%
43 9
 
4.5%
40 2
 
1.0%
39 2
 
1.0%
32 1
 
0.5%
26 2
 
1.0%
25 12
 
6.0%
24 4
 
2.0%
22 1
 
0.5%
20 43
21.6%

23.11
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.648241
Minimum0
Maximum33
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:25.253484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median17
Q325
95-th percentile26
Maximum33
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation6.8782254
Coefficient of variation (CV)0.36884043
Kurtosis-0.067055763
Mean18.648241
Median Absolute Deviation (MAD)6
Skewness-0.60690051
Sum3711
Variance47.309984
MonotonicityNot monotonic
2023-12-10T15:37:25.458576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
17 44
22.1%
26 43
21.6%
16 21
10.6%
5 19
9.5%
13 16
 
8.0%
23 15
 
7.5%
25 11
 
5.5%
24 8
 
4.0%
18 4
 
2.0%
33 3
 
1.5%
Other values (8) 15
 
7.5%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
5 19
9.5%
11 1
 
0.5%
12 1
 
0.5%
13 16
 
8.0%
15 2
 
1.0%
16 21
10.6%
17 44
22.1%
18 4
 
2.0%
ValueCountFrequency (%)
33 3
 
1.5%
26 43
21.6%
25 11
 
5.5%
24 8
 
4.0%
23 15
 
7.5%
22 3
 
1.5%
21 2
 
1.0%
20 3
 
1.5%
18 4
 
2.0%
17 44
22.1%

15.9
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.01005
Minimum0
Maximum55
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:25.710664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q115
median28
Q342
95-th percentile44
Maximum55
Range55
Interquartile range (IQR)27

Descriptive statistics

Standard deviation14.337205
Coefficient of variation (CV)0.51185932
Kurtosis-0.91964878
Mean28.01005
Median Absolute Deviation (MAD)14
Skewness-0.44617492
Sum5574
Variance205.55545
MonotonicityNot monotonic
2023-12-10T15:37:25.927725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
28 44
22.1%
43 22
11.1%
44 21
10.6%
29 20
10.1%
3 19
9.5%
8 13
 
6.5%
42 11
 
5.5%
15 8
 
4.0%
41 8
 
4.0%
39 7
 
3.5%
Other values (11) 26
13.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 19
9.5%
7 1
 
0.5%
8 13
6.5%
9 2
 
1.0%
11 1
 
0.5%
13 2
 
1.0%
14 5
 
2.5%
15 8
4.0%
22 2
 
1.0%
ValueCountFrequency (%)
55 3
 
1.5%
44 21
10.6%
43 22
11.1%
42 11
 
5.5%
41 8
 
4.0%
39 7
 
3.5%
33 1
 
0.5%
31 4
 
2.0%
29 20
10.1%
28 44
22.1%

68.2
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.427136
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:26.125860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.9
Q119
median27
Q330
95-th percentile66
Maximum68
Range67
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.208257
Coefficient of variation (CV)0.48157624
Kurtosis2.8606911
Mean27.427136
Median Absolute Deviation (MAD)8
Skewness1.6135342
Sum5458
Variance174.45805
MonotonicityNot monotonic
2023-12-10T15:37:26.383846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
19 44
22.1%
30 43
21.6%
20 20
10.1%
15 14
 
7.0%
29 11
 
5.5%
38 10
 
5.0%
28 8
 
4.0%
14 7
 
3.5%
27 7
 
3.5%
67 6
 
3.0%
Other values (13) 29
14.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
14 7
 
3.5%
15 14
 
7.0%
17 2
 
1.0%
19 44
22.1%
20 20
10.1%
21 4
 
2.0%
23 1
 
0.5%
27 7
 
3.5%
ValueCountFrequency (%)
68 2
 
1.0%
67 6
3.0%
66 3
 
1.5%
62 2
 
1.0%
60 2
 
1.0%
49 1
 
0.5%
39 4
 
2.0%
38 10
5.0%
37 4
 
2.0%
33 1
 
0.5%

63.3
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.678392
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:26.687404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q114
median19
Q322
95-th percentile61
Maximum63
Range62
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.94226
Coefficient of variation (CV)0.59701202
Kurtosis3.727661
Mean21.678392
Median Absolute Deviation (MAD)5
Skewness2.0360357
Sum4314
Variance167.50211
MonotonicityNot monotonic
2023-12-10T15:37:26.907077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
14 72
36.2%
21 33
16.6%
22 21
 
10.6%
13 11
 
5.5%
20 8
 
4.0%
19 7
 
3.5%
35 7
 
3.5%
62 6
 
3.0%
15 4
 
2.0%
34 4
 
2.0%
Other values (12) 26
 
13.1%
ValueCountFrequency (%)
1 3
 
1.5%
11 2
 
1.0%
12 2
 
1.0%
13 11
 
5.5%
14 72
36.2%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
20 8
 
4.0%
21 33
16.6%
ValueCountFrequency (%)
63 2
 
1.0%
62 6
3.0%
61 3
1.5%
57 2
 
1.0%
56 2
 
1.0%
46 1
 
0.5%
36 4
2.0%
35 7
3.5%
34 4
2.0%
31 1
 
0.5%

60.5
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.306533
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:27.085591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9
Q110
median13
Q315
95-th percentile58
Maximum60
Range59
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.414959
Coefficient of variation (CV)0.77513844
Kurtosis3.7780348
Mean17.306533
Median Absolute Deviation (MAD)3
Skewness2.1693111
Sum3444
Variance179.96112
MonotonicityNot monotonic
2023-12-10T15:37:27.415898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
15 43
21.6%
9 36
18.1%
10 34
17.1%
13 24
12.1%
14 21
10.6%
34 9
 
4.5%
59 6
 
3.0%
1 3
 
1.5%
33 3
 
1.5%
19 3
 
1.5%
Other values (10) 17
 
8.5%
ValueCountFrequency (%)
1 3
 
1.5%
7 2
 
1.0%
9 36
18.1%
10 34
17.1%
11 1
 
0.5%
13 24
12.1%
14 21
10.6%
15 43
21.6%
19 3
 
1.5%
29 1
 
0.5%
ValueCountFrequency (%)
60 2
 
1.0%
59 6
3.0%
58 3
 
1.5%
55 2
 
1.0%
53 2
 
1.0%
44 1
 
0.5%
35 2
 
1.0%
34 9
4.5%
33 3
 
1.5%
32 1
 
0.5%

0.34
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

Length

2023-12-10T15:37:27.663408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:28.320757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

33.3
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.894472
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:28.604348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median18
Q320
95-th percentile32
Maximum33
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.3176776
Coefficient of variation (CV)0.37394939
Kurtosis0.64209487
Mean16.894472
Median Absolute Deviation (MAD)4
Skewness0.36946789
Sum3362
Variance39.91305
MonotonicityNot monotonic
2023-12-10T15:37:28.825784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
13 44
22.1%
20 33
16.6%
19 23
11.6%
21 21
10.6%
14 20
10.1%
7 19
9.5%
32 9
 
4.5%
18 7
 
3.5%
15 4
 
2.0%
26 3
 
1.5%
Other values (8) 16
 
8.0%
ValueCountFrequency (%)
1 3
 
1.5%
7 19
9.5%
10 2
 
1.0%
12 2
 
1.0%
13 44
22.1%
14 20
10.1%
15 4
 
2.0%
16 2
 
1.0%
18 7
 
3.5%
19 23
11.6%
ValueCountFrequency (%)
33 2
 
1.0%
32 9
 
4.5%
30 2
 
1.0%
29 2
 
1.0%
26 3
 
1.5%
24 1
 
0.5%
21 21
10.6%
20 33
16.6%
19 23
11.6%
18 7
 
3.5%

21.4
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.386935
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:29.016654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q121
median29
Q343
95-th percentile45
Maximum56
Range56
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.643959
Coefficient of variation (CV)0.46428655
Kurtosis-0.69190103
Mean29.386935
Median Absolute Deviation (MAD)13
Skewness-0.45749988
Sum5848
Variance186.15761
MonotonicityNot monotonic
2023-12-10T15:37:29.219249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
44 32
16.1%
28 32
16.1%
30 18
9.0%
29 14
 
7.0%
43 11
 
5.5%
4 11
 
5.5%
45 11
 
5.5%
12 11
 
5.5%
21 8
 
4.0%
42 8
 
4.0%
Other values (14) 43
21.6%
ValueCountFrequency (%)
0 3
 
1.5%
4 11
5.5%
5 8
4.0%
10 1
 
0.5%
11 4
 
2.0%
12 11
5.5%
15 1
 
0.5%
19 4
 
2.0%
20 3
 
1.5%
21 8
4.0%
ValueCountFrequency (%)
56 3
 
1.5%
45 11
 
5.5%
44 32
16.1%
43 11
 
5.5%
42 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
34 1
 
0.5%
32 4
 
2.0%
30 18
9.0%

89.2
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.67337
Minimum3
Maximum549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:29.423695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile18
Q1129
median281
Q3423
95-th percentile437
Maximum549
Range546
Interquartile range (IQR)294

Descriptive statistics

Standard deviation151.59932
Coefficient of variation (CV)0.55394252
Kurtosis-1.0294879
Mean273.67337
Median Absolute Deviation (MAD)142
Skewness-0.46256631
Sum54461
Variance22982.352
MonotonicityNot monotonic
2023-12-10T15:37:29.618857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
435 21
 
10.6%
18 16
 
8.0%
292 13
 
6.5%
275 12
 
6.0%
278 11
 
5.5%
423 11
 
5.5%
434 11
 
5.5%
437 11
 
5.5%
281 10
 
5.0%
276 9
 
4.5%
Other values (29) 74
37.2%
ValueCountFrequency (%)
3 3
 
1.5%
17 1
 
0.5%
18 16
8.0%
19 2
 
1.0%
49 3
 
1.5%
51 8
4.0%
52 2
 
1.0%
67 1
 
0.5%
85 3
 
1.5%
87 6
 
3.0%
ValueCountFrequency (%)
549 3
 
1.5%
437 11
5.5%
435 21
10.6%
434 11
5.5%
423 11
5.5%
408 8
 
4.0%
392 4
 
2.0%
385 3
 
1.5%
329 1
 
0.5%
310 4
 
2.0%

147
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.51759
Minimum5
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:29.826758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q1204
median272
Q3409
95-th percentile422
Maximum532
Range527
Interquartile range (IQR)205

Descriptive statistics

Standard deviation134.9661
Coefficient of variation (CV)0.49164826
Kurtosis-0.77852834
Mean274.51759
Median Absolute Deviation (MAD)128
Skewness-0.4762973
Sum54629
Variance18215.847
MonotonicityNot monotonic
2023-12-10T15:37:30.042441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
420 21
 
10.6%
282 15
 
7.5%
266 12
 
6.0%
409 11
 
5.5%
419 11
 
5.5%
422 11
 
5.5%
29 11
 
5.5%
272 10
 
5.0%
268 9
 
4.5%
267 9
 
4.5%
Other values (33) 79
39.7%
ValueCountFrequency (%)
5 1
 
0.5%
6 2
 
1.0%
28 1
 
0.5%
29 11
5.5%
30 5
2.5%
31 2
 
1.0%
82 3
 
1.5%
84 4
 
2.0%
85 4
 
2.0%
86 2
 
1.0%
ValueCountFrequency (%)
532 3
 
1.5%
422 11
5.5%
420 21
10.6%
419 11
5.5%
409 11
5.5%
395 8
 
4.0%
380 4
 
2.0%
372 3
 
1.5%
318 1
 
0.5%
300 4
 
2.0%

19.5
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.773869
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:30.229480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q128.5
median56
Q384
95-th percentile87
Maximum109
Range108
Interquartile range (IQR)55.5

Descriptive statistics

Standard deviation29.810582
Coefficient of variation (CV)0.54424825
Kurtosis-1.0068055
Mean54.773869
Median Absolute Deviation (MAD)28
Skewness-0.46001931
Sum10900
Variance888.67083
MonotonicityNot monotonic
2023-12-10T15:37:30.408075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
55 32
16.1%
87 32
16.1%
4 19
9.5%
58 19
9.5%
11 13
6.5%
19 12
 
6.0%
56 12
 
6.0%
86 11
 
5.5%
84 11
 
5.5%
81 8
 
4.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
1 3
 
1.5%
4 19
9.5%
11 13
6.5%
15 1
 
0.5%
19 12
6.0%
20 1
 
0.5%
26 1
 
0.5%
31 4
 
2.0%
44 2
 
1.0%
50 2
 
1.0%
ValueCountFrequency (%)
109 3
 
1.5%
87 32
16.1%
86 11
 
5.5%
84 11
 
5.5%
81 8
 
4.0%
78 4
 
2.0%
77 3
 
1.5%
66 1
 
0.5%
62 4
 
2.0%
58 19
9.5%

26.4
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.58794
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:30.599545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q134
median44
Q366
95-th percentile68
Maximum85
Range84
Interquartile range (IQR)32

Descriptive statistics

Standard deviation21.315595
Coefficient of variation (CV)0.47805742
Kurtosis-0.69877847
Mean44.58794
Median Absolute Deviation (MAD)19
Skewness-0.49504281
Sum8873
Variance454.3546
MonotonicityNot monotonic
2023-12-10T15:37:30.765293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
43 34
17.1%
68 32
16.1%
45 18
9.0%
5 17
8.5%
15 13
 
6.5%
44 12
 
6.0%
66 11
 
5.5%
67 11
 
5.5%
26 9
 
4.5%
63 8
 
4.0%
Other values (15) 34
17.1%
ValueCountFrequency (%)
1 3
 
1.5%
5 17
8.5%
6 2
 
1.0%
15 13
6.5%
20 1
 
0.5%
25 3
 
1.5%
26 9
4.5%
27 1
 
0.5%
34 2
 
1.0%
35 1
 
0.5%
ValueCountFrequency (%)
85 3
 
1.5%
68 32
16.1%
67 11
 
5.5%
66 11
 
5.5%
63 8
 
4.0%
61 4
 
2.0%
60 3
 
1.5%
51 1
 
0.5%
48 4
 
2.0%
46 2
 
1.0%

24.9
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.623116
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:30.931321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q132
median41
Q362
95-th percentile64
Maximum80
Range79
Interquartile range (IQR)30

Descriptive statistics

Standard deviation19.952562
Coefficient of variation (CV)0.47936252
Kurtosis-0.7217997
Mean41.623116
Median Absolute Deviation (MAD)18
Skewness-0.47575676
Sum8283
Variance398.10472
MonotonicityNot monotonic
2023-12-10T15:37:31.113201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
40 34
17.1%
63 32
16.1%
5 19
9.5%
42 18
9.0%
41 12
 
6.0%
62 11
 
5.5%
64 11
 
5.5%
14 10
 
5.0%
24 9
 
4.5%
59 8
 
4.0%
Other values (14) 35
17.6%
ValueCountFrequency (%)
1 3
 
1.5%
5 19
9.5%
13 3
 
1.5%
14 10
5.0%
18 1
 
0.5%
23 3
 
1.5%
24 9
4.5%
25 1
 
0.5%
32 3
 
1.5%
37 2
 
1.0%
ValueCountFrequency (%)
80 3
 
1.5%
64 11
 
5.5%
63 32
16.1%
62 11
 
5.5%
59 8
 
4.0%
57 4
 
2.0%
56 3
 
1.5%
48 1
 
0.5%
45 4
 
2.0%
43 2
 
1.0%

13.8
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.01005
Minimum0
Maximum104
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:31.319811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q118.5
median53
Q380
95-th percentile83
Maximum104
Range104
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation29.634813
Coefficient of variation (CV)0.58096027
Kurtosis-1.0814588
Mean51.01005
Median Absolute Deviation (MAD)29
Skewness-0.47704159
Sum10151
Variance878.22212
MonotonicityNot monotonic
2023-12-10T15:37:31.522405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
82 32
16.1%
53 23
11.6%
52 21
10.6%
55 17
8.5%
7 13
 
6.5%
2 12
 
6.0%
83 11
 
5.5%
80 11
 
5.5%
12 10
 
5.0%
77 8
 
4.0%
Other values (15) 41
20.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 12
6.0%
3 7
3.5%
7 13
6.5%
9 1
 
0.5%
12 10
5.0%
13 3
 
1.5%
17 1
 
0.5%
20 4
 
2.0%
42 2
 
1.0%
ValueCountFrequency (%)
104 3
 
1.5%
83 11
 
5.5%
82 32
16.1%
80 11
 
5.5%
77 8
 
4.0%
74 4
 
2.0%
73 3
 
1.5%
62 1
 
0.5%
59 4
 
2.0%
56 2
 
1.0%

6.2
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.628141
Minimum0
Maximum175
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:31.836972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median90
Q3135
95-th percentile139
Maximum175
Range175
Interquartile range (IQR)126

Descriptive statistics

Standard deviation53.319529
Coefficient of variation (CV)0.63757879
Kurtosis-1.143948
Mean83.628141
Median Absolute Deviation (MAD)48
Skewness-0.5159533
Sum16642
Variance2842.9721
MonotonicityNot monotonic
2023-12-10T15:37:32.031761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
139 32
16.1%
88 30
15.1%
1 19
9.5%
93 17
8.5%
4 13
 
6.5%
6 12
 
6.0%
138 11
 
5.5%
135 11
 
5.5%
90 10
 
5.0%
130 8
 
4.0%
Other values (14) 36
18.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
4 13
6.5%
5 1
 
0.5%
6 12
6.0%
7 1
 
0.5%
8 1
 
0.5%
10 4
 
2.0%
70 2
 
1.0%
80 2
 
1.0%
ValueCountFrequency (%)
175 3
 
1.5%
139 32
16.1%
138 11
 
5.5%
135 11
 
5.5%
130 8
 
4.0%
125 4
 
2.0%
123 3
 
1.5%
105 1
 
0.5%
99 4
 
2.0%
93 17
8.5%

43.2
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.663317
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:32.243947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q148
median63
Q393
95-th percentile96
Maximum120
Range119
Interquartile range (IQR)45

Descriptive statistics

Standard deviation29.192884
Coefficient of variation (CV)0.4585511
Kurtosis-0.58084987
Mean63.663317
Median Absolute Deviation (MAD)26
Skewness-0.52008216
Sum12669
Variance852.22446
MonotonicityNot monotonic
2023-12-10T15:37:32.449594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
95 32
16.1%
60 21
 
10.6%
64 17
 
8.5%
61 13
 
6.5%
8 12
 
6.0%
24 11
 
5.5%
93 11
 
5.5%
96 11
 
5.5%
62 10
 
5.0%
89 8
 
4.0%
Other values (20) 53
26.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
8 12
6.0%
9 7
3.5%
24 11
5.5%
25 2
 
1.0%
32 1
 
0.5%
41 6
3.0%
42 4
 
2.0%
43 2
 
1.0%
ValueCountFrequency (%)
120 3
 
1.5%
96 11
 
5.5%
95 32
16.1%
93 11
 
5.5%
89 8
 
4.0%
86 4
 
2.0%
84 3
 
1.5%
72 1
 
0.5%
69 2
 
1.0%
68 4
 
2.0%

0.35
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
2
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

Length

2023-12-10T15:37:32.660207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:32.880131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
2 8
 
4.0%

39.2
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.065327
Minimum1
Maximum86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:33.053699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q139.5
median46
Q367
95-th percentile69
Maximum86
Range85
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation19.973233
Coefficient of variation (CV)0.42437257
Kurtosis-0.36461316
Mean47.065327
Median Absolute Deviation (MAD)18
Skewness-0.58373622
Sum9366
Variance398.93005
MonotonicityNot monotonic
2023-12-10T15:37:33.242525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
68 32
16.1%
44 23
11.6%
43 21
10.6%
8 18
9.0%
46 18
9.0%
69 11
 
5.5%
67 11
 
5.5%
22 8
 
4.0%
64 8
 
4.0%
38 7
 
3.5%
Other values (17) 42
21.1%
ValueCountFrequency (%)
1 3
 
1.5%
7 1
 
0.5%
8 18
9.0%
21 3
 
1.5%
22 8
4.0%
23 2
 
1.0%
29 1
 
0.5%
35 2
 
1.0%
37 3
 
1.5%
38 7
 
3.5%
ValueCountFrequency (%)
86 3
 
1.5%
69 11
 
5.5%
68 32
16.1%
67 11
 
5.5%
64 8
 
4.0%
63 2
 
1.0%
62 4
 
2.0%
61 5
 
2.5%
52 1
 
0.5%
51 1
 
0.5%

34
Real number (ℝ)

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.492462
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:33.404104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q130
median31
Q346
95-th percentile47
Maximum59
Range58
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.203485
Coefficient of variation (CV)0.39422258
Kurtosis-0.11619097
Mean33.492462
Median Absolute Deviation (MAD)11
Skewness-0.5931322
Sum6665
Variance174.33201
MonotonicityNot monotonic
2023-12-10T15:37:33.599665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
30 44
22.1%
47 43
21.6%
7 19
9.5%
31 18
9.0%
33 13
 
6.5%
45 12
 
6.0%
20 10
 
5.0%
44 8
 
4.0%
42 4
 
2.0%
34 3
 
1.5%
Other values (11) 25
12.6%
ValueCountFrequency (%)
1 3
 
1.5%
7 19
9.5%
19 3
 
1.5%
20 10
 
5.0%
24 2
 
1.0%
26 1
 
0.5%
27 2
 
1.0%
30 44
22.1%
31 18
9.0%
32 2
 
1.0%
ValueCountFrequency (%)
59 3
 
1.5%
56 2
 
1.0%
54 2
 
1.0%
47 43
21.6%
45 12
 
6.0%
44 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
35 2
 
1.0%
34 3
 
1.5%

21.5
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.296482
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:33.811784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q129.5
median42
Q364
95-th percentile66
Maximum83
Range82
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation21.402292
Coefficient of variation (CV)0.50600644
Kurtosis-0.84334383
Mean42.296482
Median Absolute Deviation (MAD)22
Skewness-0.46766385
Sum8417
Variance458.05812
MonotonicityNot monotonic
2023-12-10T15:37:34.014800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
42 32
16.1%
65 32
16.1%
4 19
9.5%
44 18
9.0%
41 12
 
6.0%
64 11
 
5.5%
66 11
 
5.5%
20 10
 
5.0%
12 10
 
5.0%
61 8
 
4.0%
Other values (14) 36
18.1%
ValueCountFrequency (%)
1 3
 
1.5%
4 19
9.5%
11 3
 
1.5%
12 10
5.0%
15 1
 
0.5%
20 10
5.0%
21 3
 
1.5%
27 1
 
0.5%
32 2
 
1.0%
33 4
 
2.0%
ValueCountFrequency (%)
83 3
 
1.5%
66 11
 
5.5%
65 32
16.1%
64 11
 
5.5%
61 8
 
4.0%
59 4
 
2.0%
58 3
 
1.5%
49 1
 
0.5%
47 4
 
2.0%
44 18
9.0%

11.8
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.874372
Minimum0
Maximum178
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:34.280156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q116
median91
Q3137
95-th percentile142
Maximum178
Range178
Interquartile range (IQR)121

Descriptive statistics

Standard deviation53.218335
Coefficient of variation (CV)0.61972314
Kurtosis-1.1346002
Mean85.874372
Median Absolute Deviation (MAD)50
Skewness-0.50256987
Sum17089
Variance2832.1912
MonotonicityNot monotonic
2023-12-10T15:37:34.494554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
141 32
16.1%
90 20
10.1%
2 19
9.5%
95 17
8.5%
11 13
 
6.5%
6 13
 
6.5%
89 12
 
6.0%
91 12
 
6.0%
137 11
 
5.5%
142 11
 
5.5%
Other values (15) 39
19.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 19
9.5%
6 13
6.5%
8 1
 
0.5%
11 13
6.5%
15 1
 
0.5%
17 2
 
1.0%
18 2
 
1.0%
72 2
 
1.0%
82 2
 
1.0%
ValueCountFrequency (%)
178 3
 
1.5%
142 11
 
5.5%
141 32
16.1%
137 11
 
5.5%
133 8
 
4.0%
127 4
 
2.0%
125 3
 
1.5%
107 1
 
0.5%
101 4
 
2.0%
95 17
8.5%

315
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean168.17588
Minimum4
Maximum315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:34.745867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q1155
median164
Q3243
95-th percentile307
Maximum315
Range311
Interquartile range (IQR)88

Descriptive statistics

Standard deviation87.659547
Coefficient of variation (CV)0.52123733
Kurtosis-0.6533418
Mean168.17588
Median Absolute Deviation (MAD)79
Skewness-0.52493988
Sum33467
Variance7684.1962
MonotonicityNot monotonic
2023-12-10T15:37:34.984233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
155 21
 
10.6%
244 21
 
10.6%
164 15
 
7.5%
7 12
 
6.0%
238 11
 
5.5%
156 11
 
5.5%
245 11
 
5.5%
243 11
 
5.5%
158 10
 
5.0%
229 8
 
4.0%
Other values (25) 68
34.2%
ValueCountFrequency (%)
4 3
 
1.5%
7 12
6.0%
8 7
3.5%
33 3
 
1.5%
34 4
 
2.0%
35 6
3.0%
46 1
 
0.5%
48 1
 
0.5%
62 1
 
0.5%
74 2
 
1.0%
ValueCountFrequency (%)
315 2
 
1.0%
309 3
 
1.5%
307 6
 
3.0%
302 3
 
1.5%
245 11
5.5%
244 21
10.6%
243 11
5.5%
238 11
5.5%
229 8
 
4.0%
221 4
 
2.0%

480
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.38191
Minimum6
Maximum480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:35.207801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q1149
median158
Q3236
95-th percentile460
Maximum480
Range474
Interquartile range (IQR)87

Descriptive statistics

Standard deviation102.81682
Coefficient of variation (CV)0.58624528
Kurtosis1.7072683
Mean175.38191
Median Absolute Deviation (MAD)72
Skewness0.78118034
Sum34901
Variance10571.298
MonotonicityNot monotonic
2023-12-10T15:37:35.464030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
236 22
 
11.1%
11 17
 
8.5%
149 12
 
6.0%
238 11
 
5.5%
151 11
 
5.5%
230 11
 
5.5%
158 11
 
5.5%
237 10
 
5.0%
153 10
 
5.0%
150 9
 
4.5%
Other values (28) 75
37.7%
ValueCountFrequency (%)
6 3
 
1.5%
11 17
8.5%
12 2
 
1.0%
50 2
 
1.0%
51 1
 
0.5%
52 4
 
2.0%
53 4
 
2.0%
54 2
 
1.0%
70 1
 
0.5%
73 1
 
0.5%
ValueCountFrequency (%)
480 2
 
1.0%
468 6
 
3.0%
460 3
 
1.5%
299 3
 
1.5%
238 11
5.5%
237 10
5.0%
236 22
11.1%
230 11
5.5%
222 8
 
4.0%
213 4
 
2.0%

74.2
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.427136
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:35.703028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q131
median33
Q349
95-th percentile71
Maximum74
Range73
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.330949
Coefficient of variation (CV)0.53245642
Kurtosis-0.34313691
Mean34.427136
Median Absolute Deviation (MAD)14
Skewness-0.19504365
Sum6851
Variance336.0237
MonotonicityNot monotonic
2023-12-10T15:37:35.876035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
31 44
22.1%
49 43
21.6%
2 19
9.5%
33 17
 
8.5%
8 13
 
6.5%
47 11
 
5.5%
46 8
 
4.0%
72 6
 
3.0%
35 4
 
2.0%
44 4
 
2.0%
Other values (14) 30
15.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 19
9.5%
8 13
6.5%
11 2
 
1.0%
15 1
 
0.5%
17 2
 
1.0%
18 2
 
1.0%
19 1
 
0.5%
25 2
 
1.0%
28 2
 
1.0%
ValueCountFrequency (%)
74 2
 
1.0%
72 6
 
3.0%
71 3
 
1.5%
62 3
 
1.5%
49 43
21.6%
47 11
 
5.5%
46 8
 
4.0%
44 4
 
2.0%
43 3
 
1.5%
37 1
 
0.5%

89.3
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.035176
Minimum1
Maximum89
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:36.063504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q124
median25
Q338
95-th percentile85
Maximum89
Range88
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.275495
Coefficient of variation (CV)0.629426
Kurtosis3.3831078
Mean29.035176
Median Absolute Deviation (MAD)12
Skewness1.3636469
Sum5778
Variance333.99371
MonotonicityNot monotonic
2023-12-10T15:37:36.241794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
38 43
21.6%
24 34
17.1%
25 24
12.1%
2 19
9.5%
37 11
 
5.5%
10 10
 
5.0%
36 8
 
4.0%
34 7
 
3.5%
87 6
 
3.0%
26 6
 
3.0%
Other values (14) 31
15.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 19
9.5%
9 3
 
1.5%
10 10
5.0%
13 1
 
0.5%
14 1
 
0.5%
17 1
 
0.5%
19 2
 
1.0%
21 2
 
1.0%
22 4
 
2.0%
ValueCountFrequency (%)
89 2
 
1.0%
87 6
 
3.0%
85 3
 
1.5%
48 3
 
1.5%
38 43
21.6%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%
29 1
 
0.5%
27 4
 
2.0%

84
Real number (ℝ)

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.241206
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:36.419356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q122
median24
Q335
95-th percentile81
Maximum84
Range83
Interquartile range (IQR)13

Descriptive statistics

Standard deviation17.218797
Coefficient of variation (CV)0.63208645
Kurtosis3.5303175
Mean27.241206
Median Absolute Deviation (MAD)11
Skewness1.4096904
Sum5421
Variance296.48698
MonotonicityNot monotonic
2023-12-10T15:37:36.580581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
35 33
16.6%
23 32
16.1%
36 21
10.6%
24 20
10.1%
2 19
9.5%
9 13
 
6.5%
22 13
 
6.5%
33 8
 
4.0%
82 6
 
3.0%
25 4
 
2.0%
Other values (13) 30
15.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 19
9.5%
9 13
6.5%
12 1
 
0.5%
13 1
 
0.5%
17 1
 
0.5%
18 2
 
1.0%
20 4
 
2.0%
21 2
 
1.0%
22 13
6.5%
ValueCountFrequency (%)
84 2
 
1.0%
82 6
 
3.0%
81 3
 
1.5%
45 3
 
1.5%
36 21
10.6%
35 33
16.6%
33 8
 
4.0%
32 4
 
2.0%
31 3
 
1.5%
27 1
 
0.5%

46.1
Real number (ℝ)

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.79397
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:36.757119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q129
median31
Q345
95-th percentile46
Maximum58
Range57
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.980189
Coefficient of variation (CV)0.51893889
Kurtosis-0.66623393
Mean30.79397
Median Absolute Deviation (MAD)14
Skewness-0.72926701
Sum6128
Variance255.36643
MonotonicityNot monotonic
2023-12-10T15:37:36.944529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
46 45
22.6%
30 23
11.6%
1 22
11.1%
29 21
10.6%
31 20
10.1%
45 17
 
8.5%
5 13
 
6.5%
43 8
 
4.0%
33 4
 
2.0%
11 4
 
2.0%
Other values (10) 22
11.1%
ValueCountFrequency (%)
1 22
11.1%
5 13
6.5%
7 2
 
1.0%
9 1
 
0.5%
11 4
 
2.0%
12 1
 
0.5%
23 2
 
1.0%
27 2
 
1.0%
29 21
10.6%
30 23
11.6%
ValueCountFrequency (%)
58 3
 
1.5%
46 45
22.6%
45 17
 
8.5%
44 3
 
1.5%
43 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
35 1
 
0.5%
33 4
 
2.0%
31 20
10.1%

0.36
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
3
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
3 8
 
4.0%

Length

2023-12-10T15:37:37.197962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:37.353267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
3 8
 
4.0%

22.9
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.98995
Minimum0
Maximum99
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:37.532763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q122
median50
Q376
95-th percentile78
Maximum99
Range99
Interquartile range (IQR)54

Descriptive statistics

Standard deviation28.733711
Coefficient of variation (CV)0.59874435
Kurtosis-1.0045058
Mean47.98995
Median Absolute Deviation (MAD)28
Skewness-0.52139141
Sum9550
Variance825.62616
MonotonicityNot monotonic
2023-12-10T15:37:37.734902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
78 43
21.6%
50 23
11.6%
49 21
10.6%
52 20
10.1%
1 19
9.5%
2 13
 
6.5%
76 11
 
5.5%
22 8
 
4.0%
73 8
 
4.0%
56 4
 
2.0%
Other values (12) 29
14.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
2 13
6.5%
3 2
 
1.0%
4 1
 
0.5%
5 4
 
2.0%
6 1
 
0.5%
21 3
 
1.5%
22 8
4.0%
40 2
 
1.0%
ValueCountFrequency (%)
99 3
 
1.5%
78 43
21.6%
76 11
 
5.5%
73 8
 
4.0%
70 4
 
2.0%
69 3
 
1.5%
59 1
 
0.5%
56 4
 
2.0%
52 20
10.1%
50 23
11.6%

156
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.150754
Minimum2
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:37.913183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q134
median36
Q353
95-th percentile150
Maximum156
Range154
Interquartile range (IQR)19

Descriptive statistics

Standard deviation30.836935
Coefficient of variation (CV)0.71463259
Kurtosis6.2781849
Mean43.150754
Median Absolute Deviation (MAD)16
Skewness2.2139739
Sum8587
Variance950.91655
MonotonicityNot monotonic
2023-12-10T15:37:38.121366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
34 34
17.1%
53 22
11.1%
54 21
10.6%
4 19
9.5%
36 19
9.5%
35 11
 
5.5%
52 11
 
5.5%
17 9
 
4.5%
50 8
 
4.0%
152 6
 
3.0%
Other values (15) 39
19.6%
ValueCountFrequency (%)
2 3
 
1.5%
4 19
9.5%
16 2
 
1.0%
17 9
 
4.5%
18 2
 
1.0%
23 1
 
0.5%
24 1
 
0.5%
27 2
 
1.0%
31 3
 
1.5%
34 34
17.1%
ValueCountFrequency (%)
156 2
 
1.0%
152 6
 
3.0%
150 3
 
1.5%
68 3
 
1.5%
54 21
10.6%
53 22
11.1%
52 11
5.5%
50 8
 
4.0%
48 4
 
2.0%
47 3
 
1.5%

121
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.582915
Minimum2
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:38.323926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q124
median26
Q338
95-th percentile116
Maximum121
Range119
Interquartile range (IQR)14

Descriptive statistics

Standard deviation23.779966
Coefficient of variation (CV)0.75293766
Kurtosis7.2419032
Mean31.582915
Median Absolute Deviation (MAD)11
Skewness2.4680137
Sum6285
Variance565.48678
MonotonicityNot monotonic
2023-12-10T15:37:38.526704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
38 32
16.1%
25 24
12.1%
24 22
11.1%
3 19
9.5%
26 19
9.5%
37 11
 
5.5%
13 11
 
5.5%
39 11
 
5.5%
36 8
 
4.0%
118 6
 
3.0%
Other values (14) 36
18.1%
ValueCountFrequency (%)
2 3
 
1.5%
3 19
9.5%
13 11
5.5%
14 2
 
1.0%
18 2
 
1.0%
20 2
 
1.0%
22 2
 
1.0%
24 22
11.1%
25 24
12.1%
26 19
9.5%
ValueCountFrequency (%)
121 2
 
1.0%
118 6
 
3.0%
116 3
 
1.5%
49 3
 
1.5%
39 11
 
5.5%
38 32
16.1%
37 11
 
5.5%
36 8
 
4.0%
35 4
 
2.0%
34 3
 
1.5%

109
Real number (ℝ)

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.512563
Minimum1
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:38.730486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q117
median18
Q326
95-th percentile104
Maximum109
Range108
Interquartile range (IQR)9

Descriptive statistics

Standard deviation21.368546
Coefficient of variation (CV)0.90881397
Kurtosis9.8251432
Mean23.512563
Median Absolute Deviation (MAD)7
Skewness3.100402
Sum4679
Variance456.61474
MonotonicityNot monotonic
2023-12-10T15:37:38.920105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
26 58
29.1%
17 48
24.1%
18 17
 
8.5%
2 12
 
6.0%
12 11
 
5.5%
25 8
 
4.0%
3 7
 
3.5%
106 6
 
3.0%
19 4
 
2.0%
24 4
 
2.0%
Other values (12) 24
12.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 12
 
6.0%
3 7
 
3.5%
11 2
 
1.0%
12 11
 
5.5%
13 2
 
1.0%
15 2
 
1.0%
16 1
 
0.5%
17 48
24.1%
18 17
 
8.5%
ValueCountFrequency (%)
109 2
 
1.0%
106 6
 
3.0%
104 3
 
1.5%
33 3
 
1.5%
28 1
 
0.5%
26 58
29.1%
25 8
 
4.0%
24 4
 
2.0%
23 3
 
1.5%
21 1
 
0.5%

63.4
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.462312
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:39.694741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q123
median25
Q337
95-th percentile61
Maximum63
Range62
Interquartile range (IQR)14

Descriptive statistics

Standard deviation14.63486
Coefficient of variation (CV)0.55304541
Kurtosis0.29940146
Mean26.462312
Median Absolute Deviation (MAD)11
Skewness0.17751586
Sum5266
Variance214.17913
MonotonicityNot monotonic
2023-12-10T15:37:39.954994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37 43
21.6%
23 32
16.1%
25 17
 
8.5%
1 15
 
7.5%
24 15
 
7.5%
7 13
 
6.5%
36 11
 
5.5%
34 8
 
4.0%
2 7
 
3.5%
62 6
 
3.0%
Other values (14) 32
16.1%
ValueCountFrequency (%)
1 15
7.5%
2 7
3.5%
7 13
6.5%
9 1
 
0.5%
10 1
 
0.5%
12 1
 
0.5%
15 4
 
2.0%
16 1
 
0.5%
19 2
 
1.0%
21 2
 
1.0%
ValueCountFrequency (%)
63 2
 
1.0%
62 6
 
3.0%
61 3
 
1.5%
46 3
 
1.5%
37 43
21.6%
36 11
 
5.5%
34 8
 
4.0%
33 4
 
2.0%
32 3
 
1.5%
28 1
 
0.5%

31.2
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.39196
Minimum0
Maximum100
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:40.232670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q130
median51
Q377
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)47

Descriptive statistics

Standard deviation28.606652
Coefficient of variation (CV)0.57917629
Kurtosis-0.90190831
Mean49.39196
Median Absolute Deviation (MAD)26
Skewness-0.55850584
Sum9829
Variance818.34054
MonotonicityNot monotonic
2023-12-10T15:37:40.441103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
79 32
16.1%
51 23
11.6%
50 21
10.6%
1 19
9.5%
53 19
9.5%
3 13
 
6.5%
77 11
 
5.5%
80 11
 
5.5%
30 9
 
4.5%
74 8
 
4.0%
Other values (14) 33
16.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
3 13
6.5%
5 2
 
1.0%
6 1
 
0.5%
7 4
 
2.0%
8 1
 
0.5%
30 9
4.5%
31 2
 
1.0%
40 2
 
1.0%
ValueCountFrequency (%)
100 3
 
1.5%
80 11
 
5.5%
79 32
16.1%
77 11
 
5.5%
74 8
 
4.0%
72 4
 
2.0%
70 3
 
1.5%
60 1
 
0.5%
57 4
 
2.0%
53 19
9.5%

51.2
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.09045
Minimum1
Maximum359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:40.720257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13
Q152
median183
Q3276
95-th percentile285
Maximum359
Range358
Interquartile range (IQR)224

Descriptive statistics

Standard deviation101.97981
Coefficient of variation (CV)0.57913308
Kurtosis-1.1003837
Mean176.09045
Median Absolute Deviation (MAD)100
Skewness-0.46368318
Sum35042
Variance10399.881
MonotonicityNot monotonic
2023-12-10T15:37:40.950324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
284 21
 
10.6%
17 16
 
8.0%
179 12
 
6.0%
183 12
 
6.0%
181 11
 
5.5%
285 11
 
5.5%
190 11
 
5.5%
276 11
 
5.5%
13 11
 
5.5%
283 11
 
5.5%
Other values (25) 72
36.2%
ValueCountFrequency (%)
1 3
 
1.5%
12 2
 
1.0%
13 11
5.5%
16 1
 
0.5%
17 16
8.0%
18 2
 
1.0%
25 1
 
0.5%
40 1
 
0.5%
42 1
 
0.5%
49 6
 
3.0%
ValueCountFrequency (%)
359 3
 
1.5%
285 11
5.5%
284 21
10.6%
283 11
5.5%
276 11
5.5%
266 8
 
4.0%
256 4
 
2.0%
251 3
 
1.5%
214 1
 
0.5%
202 4
 
2.0%

51.3
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.54774
Minimum0
Maximum347
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:41.198587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q152
median178
Q3267
95-th percentile276
Maximum347
Range347
Interquartile range (IQR)215

Descriptive statistics

Standard deviation98.562017
Coefficient of variation (CV)0.57791453
Kurtosis-1.0933693
Mean170.54774
Median Absolute Deviation (MAD)96
Skewness-0.47032685
Sum33939
Variance9714.4712
MonotonicityNot monotonic
2023-12-10T15:37:41.448355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
274 32
16.1%
174 21
 
10.6%
184 15
 
7.5%
16 12
 
6.0%
276 11
 
5.5%
176 11
 
5.5%
12 11
 
5.5%
267 11
 
5.5%
178 10
 
5.0%
258 8
 
4.0%
Other values (24) 57
28.6%
ValueCountFrequency (%)
0 3
 
1.5%
12 11
5.5%
13 2
 
1.0%
16 12
6.0%
17 5
2.5%
18 2
 
1.0%
24 1
 
0.5%
40 1
 
0.5%
42 1
 
0.5%
48 3
 
1.5%
ValueCountFrequency (%)
347 3
 
1.5%
276 11
 
5.5%
274 32
16.1%
267 11
 
5.5%
258 8
 
4.0%
248 4
 
2.0%
243 3
 
1.5%
208 1
 
0.5%
196 4
 
2.0%
185 2
 
1.0%

14.10
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.703518
Minimum0
Maximum71
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:41.759494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median37
Q355
95-th percentile57
Maximum71
Range71
Interquartile range (IQR)41

Descriptive statistics

Standard deviation19.628559
Coefficient of variation (CV)0.54976542
Kurtosis-1.0428217
Mean35.703518
Median Absolute Deviation (MAD)19
Skewness-0.45676731
Sum7105
Variance385.28034
MonotonicityNot monotonic
2023-12-10T15:37:41.977858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
36 34
17.1%
57 32
16.1%
38 19
9.5%
5 18
9.0%
3 11
 
5.5%
56 11
 
5.5%
55 11
 
5.5%
37 11
 
5.5%
14 10
 
5.0%
53 8
 
4.0%
Other values (14) 34
17.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 11
5.5%
4 3
 
1.5%
5 18
9.0%
7 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
13 3
 
1.5%
14 10
5.0%
15 3
 
1.5%
ValueCountFrequency (%)
71 3
 
1.5%
57 32
16.1%
56 11
 
5.5%
55 11
 
5.5%
53 8
 
4.0%
51 4
 
2.0%
50 3
 
1.5%
43 1
 
0.5%
40 4
 
2.0%
38 19
9.5%

10.11
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.698492
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:42.268172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median29
Q343
95-th percentile44
Maximum56
Range56
Interquartile range (IQR)32

Descriptive statistics

Standard deviation15.410856
Coefficient of variation (CV)0.55637888
Kurtosis-1.0448057
Mean27.698492
Median Absolute Deviation (MAD)15
Skewness-0.46414614
Sum5512
Variance237.49449
MonotonicityNot monotonic
2023-12-10T15:37:42.451034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
44 43
21.6%
28 34
17.1%
3 28
14.1%
30 17
 
8.5%
29 13
 
6.5%
10 11
 
5.5%
43 11
 
5.5%
41 8
 
4.0%
11 5
 
2.5%
31 4
 
2.0%
Other values (11) 25
12.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 2
 
1.0%
3 28
14.1%
4 2
 
1.0%
5 1
 
0.5%
8 2
 
1.0%
10 11
 
5.5%
11 5
 
2.5%
22 2
 
1.0%
26 2
 
1.0%
ValueCountFrequency (%)
56 3
 
1.5%
44 43
21.6%
43 11
 
5.5%
41 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
33 1
 
0.5%
31 4
 
2.0%
30 17
 
8.5%
29 13
 
6.5%

0.37
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
191 
5
 
8

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

Length

2023-12-10T15:37:42.770461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:42.944364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 191
96.0%
5 8
 
4.0%

14.11
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.386935
Minimum0
Maximum52
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:43.129063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median27
Q340
95-th percentile41
Maximum52
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation13.708953
Coefficient of variation (CV)0.51953563
Kurtosis-0.93288253
Mean26.386935
Median Absolute Deviation (MAD)13
Skewness-0.46120704
Sum5251
Variance187.93538
MonotonicityNot monotonic
2023-12-10T15:37:43.422449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
41 43
21.6%
26 32
16.1%
28 17
 
8.5%
27 15
 
7.5%
4 14
 
7.0%
3 11
 
5.5%
40 11
 
5.5%
13 9
 
4.5%
39 8
 
4.0%
37 7
 
3.5%
Other values (11) 32
16.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 11
5.5%
4 14
7.0%
5 7
3.5%
7 1
 
0.5%
11 2
 
1.0%
13 9
4.5%
14 4
 
2.0%
15 3
 
1.5%
21 2
 
1.0%
ValueCountFrequency (%)
52 3
 
1.5%
41 43
21.6%
40 11
 
5.5%
39 8
 
4.0%
37 7
 
3.5%
31 1
 
0.5%
29 4
 
2.0%
28 17
 
8.5%
27 15
 
7.5%
26 32
16.1%

9.8
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.231156
Minimum0
Maximum68
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:43.770220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median35
Q352
95-th percentile54
Maximum68
Range68
Interquartile range (IQR)43

Descriptive statistics

Standard deviation19.514999
Coefficient of variation (CV)0.58725008
Kurtosis-1.1078637
Mean33.231156
Median Absolute Deviation (MAD)19
Skewness-0.46683324
Sum6613
Variance380.83519
MonotonicityNot monotonic
2023-12-10T15:37:43.997227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
54 43
21.6%
34 32
16.1%
36 20
10.1%
3 19
9.5%
9 13
 
6.5%
2 13
 
6.5%
35 12
 
6.0%
52 11
 
5.5%
50 8
 
4.0%
48 7
 
3.5%
Other values (9) 21
10.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 13
6.5%
3 19
9.5%
4 1
 
0.5%
7 2
 
1.0%
8 3
 
1.5%
9 13
6.5%
27 2
 
1.0%
31 2
 
1.0%
34 32
16.1%
ValueCountFrequency (%)
68 3
 
1.5%
54 43
21.6%
52 11
 
5.5%
50 8
 
4.0%
48 7
 
3.5%
41 1
 
0.5%
38 4
 
2.0%
36 20
10.1%
35 12
 
6.0%
34 32
16.1%

4.9
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.326633
Minimum0
Maximum114
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:44.240391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median58
Q388
95-th percentile91
Maximum114
Range114
Interquartile range (IQR)84

Descriptive statistics

Standard deviation34.934988
Coefficient of variation (CV)0.64305454
Kurtosis-1.1457997
Mean54.326633
Median Absolute Deviation (MAD)32
Skewness-0.5211754
Sum10811
Variance1220.4534
MonotonicityNot monotonic
2023-12-10T15:37:44.572117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
90 32
16.1%
1 32
16.1%
58 23
11.6%
57 21
10.6%
61 17
8.5%
4 16
8.0%
88 11
 
5.5%
91 11
 
5.5%
85 8
 
4.0%
82 4
 
2.0%
Other values (10) 24
12.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 32
16.1%
2 1
 
0.5%
3 2
 
1.0%
4 16
8.0%
46 2
 
1.0%
52 2
 
1.0%
57 21
10.6%
58 23
11.6%
60 3
 
1.5%
ValueCountFrequency (%)
114 3
 
1.5%
91 11
 
5.5%
90 32
16.1%
88 11
 
5.5%
85 8
 
4.0%
82 4
 
2.0%
80 3
 
1.5%
68 1
 
0.5%
64 4
 
2.0%
61 17
8.5%

18.4
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.502513
Minimum0
Maximum79
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:44.793598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median40
Q360
95-th percentile62
Maximum79
Range79
Interquartile range (IQR)41

Descriptive statistics

Standard deviation20.946028
Coefficient of variation (CV)0.53024547
Kurtosis-0.98298844
Mean39.502513
Median Absolute Deviation (MAD)21
Skewness-0.44256011
Sum7861
Variance438.7361
MonotonicityNot monotonic
2023-12-10T15:37:44.975381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
62 43
21.6%
40 23
11.6%
39 21
10.6%
6 17
 
8.5%
42 17
 
8.5%
18 11
 
5.5%
60 11
 
5.5%
5 11
 
5.5%
58 8
 
4.0%
19 5
 
2.5%
Other values (14) 32
16.1%
ValueCountFrequency (%)
0 3
 
1.5%
4 2
 
1.0%
5 11
5.5%
6 17
8.5%
7 2
 
1.0%
9 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
18 11
5.5%
19 5
 
2.5%
ValueCountFrequency (%)
79 3
 
1.5%
62 43
21.6%
60 11
 
5.5%
58 8
 
4.0%
56 4
 
2.0%
55 3
 
1.5%
47 1
 
0.5%
44 4
 
2.0%
42 17
 
8.5%
41 3
 
1.5%

10.12
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.090452
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:45.174592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q111
median29
Q343
95-th percentile45
Maximum56
Range56
Interquartile range (IQR)32

Descriptive statistics

Standard deviation15.690242
Coefficient of variation (CV)0.55856139
Kurtosis-1.0640904
Mean28.090452
Median Absolute Deviation (MAD)16
Skewness-0.45758562
Sum5590
Variance246.1837
MonotonicityNot monotonic
2023-12-10T15:37:45.348842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
45 43
21.6%
3 28
14.1%
29 23
11.6%
28 21
10.6%
30 20
10.1%
10 11
 
5.5%
43 11
 
5.5%
42 8
 
4.0%
40 7
 
3.5%
11 5
 
2.5%
Other values (11) 22
11.1%
ValueCountFrequency (%)
0 3
 
1.5%
2 2
 
1.0%
3 28
14.1%
4 2
 
1.0%
5 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
10 11
 
5.5%
11 5
 
2.5%
23 2
 
1.0%
ValueCountFrequency (%)
56 3
 
1.5%
45 43
21.6%
43 11
 
5.5%
42 8
 
4.0%
40 7
 
3.5%
34 1
 
0.5%
32 4
 
2.0%
30 20
10.1%
29 23
11.6%
28 21
10.6%

12.9
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.949749
Minimum0
Maximum39
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:45.522498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q112
median20
Q330
95-th percentile31
Maximum39
Range39
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.9406058
Coefficient of variation (CV)0.49828226
Kurtosis-0.87007098
Mean19.949749
Median Absolute Deviation (MAD)9
Skewness-0.42680572
Sum3970
Variance98.815644
MonotonicityNot monotonic
2023-12-10T15:37:45.730031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20 37
18.6%
31 32
16.1%
30 22
11.1%
19 21
10.6%
4 19
9.5%
3 13
 
6.5%
12 10
 
5.0%
29 8
 
4.0%
21 6
 
3.0%
22 4
 
2.0%
Other values (12) 27
13.6%
ValueCountFrequency (%)
0 3
 
1.5%
3 13
6.5%
4 19
9.5%
6 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
11 3
 
1.5%
12 10
5.0%
13 3
 
1.5%
16 2
 
1.0%
ValueCountFrequency (%)
39 3
 
1.5%
31 32
16.1%
30 22
11.1%
29 8
 
4.0%
28 4
 
2.0%
27 3
 
1.5%
23 1
 
0.5%
22 4
 
2.0%
21 6
 
3.0%
20 37
18.6%

7.8
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.582915
Minimum0
Maximum54
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:45.943595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median28
Q342
95-th percentile43
Maximum54
Range54
Interquartile range (IQR)34

Descriptive statistics

Standard deviation15.503076
Coefficient of variation (CV)0.583197
Kurtosis-1.1106813
Mean26.582915
Median Absolute Deviation (MAD)15
Skewness-0.46411251
Sum5290
Variance240.34536
MonotonicityNot monotonic
2023-12-10T15:37:46.183146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
43 43
21.6%
27 32
16.1%
2 25
12.6%
29 17
 
8.5%
28 15
 
7.5%
7 11
 
5.5%
42 11
 
5.5%
40 8
 
4.0%
3 7
 
3.5%
8 5
 
2.5%
Other values (10) 25
12.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 25
12.6%
3 7
 
3.5%
4 1
 
0.5%
6 2
 
1.0%
7 11
 
5.5%
8 5
 
2.5%
22 2
 
1.0%
25 2
 
1.0%
27 32
16.1%
ValueCountFrequency (%)
54 3
 
1.5%
43 43
21.6%
42 11
 
5.5%
40 8
 
4.0%
39 4
 
2.0%
38 3
 
1.5%
32 1
 
0.5%
30 4
 
2.0%
29 17
 
8.5%
28 15
 
7.5%

2.5
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.286432
Minimum0
Maximum117
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:46.390708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median60
Q390
95-th percentile93
Maximum117
Range117
Interquartile range (IQR)88

Descriptive statistics

Standard deviation35.934612
Coefficient of variation (CV)0.64997162
Kurtosis-1.1445592
Mean55.286432
Median Absolute Deviation (MAD)32
Skewness-0.52302307
Sum11002
Variance1291.2963
MonotonicityNot monotonic
2023-12-10T15:37:46.598156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 33
16.6%
92 32
16.1%
58 21
10.6%
62 17
8.5%
2 15
7.5%
59 13
 
6.5%
90 11
 
5.5%
93 11
 
5.5%
60 10
 
5.0%
86 8
 
4.0%
Other values (10) 28
14.1%
ValueCountFrequency (%)
0 3
 
1.5%
1 33
16.6%
2 15
7.5%
3 3
 
1.5%
47 2
 
1.0%
53 2
 
1.0%
58 21
10.6%
59 13
 
6.5%
60 10
 
5.0%
61 3
 
1.5%
ValueCountFrequency (%)
117 3
 
1.5%
93 11
 
5.5%
92 32
16.1%
90 11
 
5.5%
86 8
 
4.0%
83 4
 
2.0%
82 3
 
1.5%
70 1
 
0.5%
66 4
 
2.0%
62 17
8.5%

93
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.190955
Minimum0
Maximum124
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:46.809740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q162
median66
Q396
95-th percentile99
Maximum124
Range124
Interquartile range (IQR)34

Descriptive statistics

Standard deviation32.639038
Coefficient of variation (CV)0.4931042
Kurtosis-0.5958268
Mean66.190955
Median Absolute Deviation (MAD)27
Skewness-0.71486119
Sum13172
Variance1065.3068
MonotonicityNot monotonic
2023-12-10T15:37:47.011899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
98 32
16.1%
8 32
16.1%
63 22
11.1%
66 18
9.0%
62 12
 
6.0%
99 11
 
5.5%
96 11
 
5.5%
64 10
 
5.0%
92 8
 
4.0%
90 6
 
3.0%
Other values (17) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
8 32
16.1%
17 1
 
0.5%
28 1
 
0.5%
29 1
 
0.5%
37 1
 
0.5%
38 2
 
1.0%
39 2
 
1.0%
50 2
 
1.0%
57 2
 
1.0%
ValueCountFrequency (%)
124 3
 
1.5%
99 11
 
5.5%
98 32
16.1%
96 11
 
5.5%
93 2
 
1.0%
92 8
 
4.0%
90 6
 
3.0%
89 3
 
1.5%
88 4
 
2.0%
87 3
 
1.5%

127
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.904523
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:47.250081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q160
median64
Q395
95-th percentile122
Maximum127
Range126
Interquartile range (IQR)35

Descriptive statistics

Standard deviation32.83254
Coefficient of variation (CV)0.49073723
Kurtosis-0.54778586
Mean66.904523
Median Absolute Deviation (MAD)28
Skewness-0.42791922
Sum13314
Variance1077.9757
MonotonicityNot monotonic
2023-12-10T15:37:47.454118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
95 43
21.6%
60 30
15.1%
11 17
 
8.5%
64 15
 
7.5%
61 14
 
7.0%
10 13
 
6.5%
92 11
 
5.5%
89 8
 
4.0%
124 6
 
3.0%
63 5
 
2.5%
Other values (16) 37
18.6%
ValueCountFrequency (%)
1 3
 
1.5%
10 13
6.5%
11 17
8.5%
12 2
 
1.0%
24 1
 
0.5%
38 1
 
0.5%
39 1
 
0.5%
48 2
 
1.0%
51 3
 
1.5%
54 2
 
1.0%
ValueCountFrequency (%)
127 2
 
1.0%
124 6
 
3.0%
122 3
 
1.5%
120 3
 
1.5%
95 43
21.6%
92 11
 
5.5%
89 8
 
4.0%
86 4
 
2.0%
84 3
 
1.5%
72 1
 
0.5%

0.38
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
16
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

Length

2023-12-10T15:37:47.655216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:47.798342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

20.5
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.351759
Minimum0
Maximum25
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:47.944334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median13
Q319
95-th percentile20
Maximum25
Range25
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.5239949
Coefficient of variation (CV)0.48862438
Kurtosis-0.70577334
Mean13.351759
Median Absolute Deviation (MAD)6
Skewness-0.61700082
Sum2657
Variance42.56251
MonotonicityNot monotonic
2023-12-10T15:37:48.156081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20 45
22.6%
13 34
17.1%
2 32
16.1%
12 30
15.1%
19 20
10.1%
18 12
 
6.0%
8 5
 
2.5%
14 4
 
2.0%
0 3
 
1.5%
17 3
 
1.5%
Other values (6) 11
 
5.5%
ValueCountFrequency (%)
0 3
 
1.5%
2 32
16.1%
4 1
 
0.5%
6 2
 
1.0%
8 5
 
2.5%
10 2
 
1.0%
11 2
 
1.0%
12 30
15.1%
13 34
17.1%
14 4
 
2.0%
ValueCountFrequency (%)
25 3
 
1.5%
20 45
22.6%
19 20
10.1%
18 12
 
6.0%
17 3
 
1.5%
15 1
 
0.5%
14 4
 
2.0%
13 34
17.1%
12 30
15.1%
11 2
 
1.0%

24.10
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.025126
Minimum0
Maximum24
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:48.350331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median10
Q315
95-th percentile23
Maximum24
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.4849999
Coefficient of variation (CV)0.49749999
Kurtosis-0.0068042684
Mean11.025126
Median Absolute Deviation (MAD)5
Skewness-0.093863236
Sum2194
Variance30.085224
MonotonicityNot monotonic
2023-12-10T15:37:48.533917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
10 69
34.7%
15 54
27.1%
2 32
16.1%
14 15
 
7.5%
23 9
 
4.5%
11 4
 
2.0%
19 3
 
1.5%
0 3
 
1.5%
24 2
 
1.0%
8 2
 
1.0%
Other values (4) 6
 
3.0%
ValueCountFrequency (%)
0 3
 
1.5%
2 32
16.1%
4 1
 
0.5%
7 2
 
1.0%
8 2
 
1.0%
9 2
 
1.0%
10 69
34.7%
11 4
 
2.0%
12 1
 
0.5%
14 15
 
7.5%
ValueCountFrequency (%)
24 2
 
1.0%
23 9
 
4.5%
19 3
 
1.5%
15 54
27.1%
14 15
 
7.5%
12 1
 
0.5%
11 4
 
2.0%
10 69
34.7%
9 2
 
1.0%
8 2
 
1.0%

28.5
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.658291
Minimum0
Maximum28
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:48.704514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median10
Q314
95-th percentile26
Maximum28
Range28
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.8113281
Coefficient of variation (CV)0.54524012
Kurtosis1.5503128
Mean10.658291
Median Absolute Deviation (MAD)4
Skewness0.68338398
Sum2121
Variance33.771534
MonotonicityNot monotonic
2023-12-10T15:37:48.886790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
14 54
27.1%
9 47
23.6%
2 30
15.1%
10 22
11.1%
13 15
 
7.5%
27 6
 
3.0%
11 4
 
2.0%
26 3
 
1.5%
18 3
 
1.5%
0 3
 
1.5%
Other values (6) 12
 
6.0%
ValueCountFrequency (%)
0 3
 
1.5%
2 30
15.1%
3 2
 
1.0%
5 1
 
0.5%
7 2
 
1.0%
8 3
 
1.5%
9 47
23.6%
10 22
11.1%
11 4
 
2.0%
12 2
 
1.0%
ValueCountFrequency (%)
28 2
 
1.0%
27 6
 
3.0%
26 3
 
1.5%
18 3
 
1.5%
14 54
27.1%
13 15
 
7.5%
12 2
 
1.0%
11 4
 
2.0%
10 22
11.1%
9 47
23.6%

14.12
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.321608
Minimum0
Maximum23
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:49.073968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median13
Q318
95-th percentile19
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.3458477
Coefficient of variation (CV)0.51501782
Kurtosis-0.5976829
Mean12.321608
Median Absolute Deviation (MAD)5
Skewness-0.70752388
Sum2452
Variance40.269783
MonotonicityNot monotonic
2023-12-10T15:37:49.242139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
12 49
24.6%
19 43
21.6%
1 32
16.1%
13 19
 
9.5%
14 12
 
6.0%
17 12
 
6.0%
18 11
 
5.5%
6 5
 
2.5%
23 3
 
1.5%
16 3
 
1.5%
Other values (5) 10
 
5.0%
ValueCountFrequency (%)
0 3
 
1.5%
1 32
16.1%
3 1
 
0.5%
4 2
 
1.0%
6 5
 
2.5%
9 2
 
1.0%
11 2
 
1.0%
12 49
24.6%
13 19
 
9.5%
14 12
 
6.0%
ValueCountFrequency (%)
23 3
 
1.5%
19 43
21.6%
18 11
 
5.5%
17 12
 
6.0%
16 3
 
1.5%
14 12
 
6.0%
13 19
 
9.5%
12 49
24.6%
11 2
 
1.0%
9 2
 
1.0%

7.9
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.19598
Minimum0
Maximum40
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:49.408314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median20
Q330
95-th percentile31
Maximum40
Range40
Interquartile range (IQR)23

Descriptive statistics

Standard deviation11.376779
Coefficient of variation (CV)0.59266465
Kurtosis-1.0413069
Mean19.19598
Median Absolute Deviation (MAD)11
Skewness-0.51001489
Sum3820
Variance129.43109
MonotonicityNot monotonic
2023-12-10T15:37:49.609380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20 44
22.1%
31 43
21.6%
1 33
16.6%
21 20
10.1%
7 11
 
5.5%
30 11
 
5.5%
29 8
 
4.0%
28 7
 
3.5%
3 5
 
2.5%
22 4
 
2.0%
Other values (6) 13
 
6.5%
ValueCountFrequency (%)
0 3
 
1.5%
1 33
16.6%
2 2
 
1.0%
3 5
 
2.5%
7 11
 
5.5%
16 2
 
1.0%
18 2
 
1.0%
20 44
22.1%
21 20
10.1%
22 4
 
2.0%
ValueCountFrequency (%)
40 3
 
1.5%
31 43
21.6%
30 11
 
5.5%
29 8
 
4.0%
28 7
 
3.5%
24 1
 
0.5%
22 4
 
2.0%
21 20
10.1%
20 44
22.1%
18 2
 
1.0%

41.3
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.120603
Minimum0
Maximum41
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:49.806993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q114
median14
Q321
95-th percentile39
Maximum41
Range41
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.5431482
Coefficient of variation (CV)0.52995215
Kurtosis1.4759632
Mean16.120603
Median Absolute Deviation (MAD)7
Skewness0.67696807
Sum3208
Variance72.985381
MonotonicityNot monotonic
2023-12-10T15:37:50.014353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
14 64
32.2%
21 43
21.6%
4 19
 
9.5%
3 13
 
6.5%
22 11
 
5.5%
20 8
 
4.0%
19 7
 
3.5%
40 6
 
3.0%
15 4
 
2.0%
17 4
 
2.0%
Other values (9) 20
 
10.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 13
 
6.5%
4 19
 
9.5%
8 1
 
0.5%
11 2
 
1.0%
12 3
 
1.5%
13 1
 
0.5%
14 64
32.2%
15 4
 
2.0%
16 2
 
1.0%
ValueCountFrequency (%)
41 2
 
1.0%
40 6
 
3.0%
39 3
 
1.5%
27 3
 
1.5%
22 11
 
5.5%
21 43
21.6%
20 8
 
4.0%
19 7
 
3.5%
17 4
 
2.0%
16 2
 
1.0%

31.3
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.718593
Minimum0
Maximum31
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:50.232358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median10
Q315
95-th percentile29
Maximum31
Range31
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.2450955
Coefficient of variation (CV)0.53292196
Kurtosis2.0229679
Mean11.718593
Median Absolute Deviation (MAD)5
Skewness0.92196015
Sum2332
Variance39.001218
MonotonicityNot monotonic
2023-12-10T15:37:50.493730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
10 64
32.2%
15 43
21.6%
3 32
16.1%
14 15
 
7.5%
16 11
 
5.5%
30 6
 
3.0%
9 4
 
2.0%
11 4
 
2.0%
12 4
 
2.0%
20 3
 
1.5%
Other values (6) 13
 
6.5%
ValueCountFrequency (%)
0 3
 
1.5%
3 32
16.1%
6 1
 
0.5%
8 2
 
1.0%
9 4
 
2.0%
10 64
32.2%
11 4
 
2.0%
12 4
 
2.0%
13 2
 
1.0%
14 15
 
7.5%
ValueCountFrequency (%)
31 2
 
1.0%
30 6
 
3.0%
29 3
 
1.5%
20 3
 
1.5%
16 11
 
5.5%
15 43
21.6%
14 15
 
7.5%
13 2
 
1.0%
12 4
 
2.0%
11 4
 
2.0%

33.4
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1407035
Minimum0
Maximum33
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:50.733187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median7
Q311
95-th percentile31
Maximum33
Range33
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.289345
Coefficient of variation (CV)0.68805918
Kurtosis7.0788033
Mean9.1407035
Median Absolute Deviation (MAD)3
Skewness2.4704036
Sum1819
Variance39.55586
MonotonicityNot monotonic
2023-12-10T15:37:50.916558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
7 64
32.2%
11 43
21.6%
3 32
16.1%
10 25
 
12.6%
13 6
 
3.0%
32 6
 
3.0%
8 5
 
2.5%
9 3
 
1.5%
6 3
 
1.5%
0 3
 
1.5%
Other values (4) 9
 
4.5%
ValueCountFrequency (%)
0 3
 
1.5%
3 32
16.1%
5 2
 
1.0%
6 3
 
1.5%
7 64
32.2%
8 5
 
2.5%
9 3
 
1.5%
10 25
 
12.6%
11 43
21.6%
13 6
 
3.0%
ValueCountFrequency (%)
33 2
 
1.0%
32 6
 
3.0%
31 3
 
1.5%
14 2
 
1.0%
13 6
 
3.0%
11 43
21.6%
10 25
 
12.6%
9 3
 
1.5%
8 5
 
2.5%
7 64
32.2%

15.10
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.01005
Minimum0
Maximum19
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:51.115459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median10
Q315
95-th percentile15
Maximum19
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0702041
Coefficient of variation (CV)0.50651135
Kurtosis-0.64619715
Mean10.01005
Median Absolute Deviation (MAD)4
Skewness-0.67079833
Sum1992
Variance25.706969
MonotonicityNot monotonic
2023-12-10T15:37:51.300062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
15 54
27.1%
9 36
18.1%
1 32
16.1%
10 30
15.1%
14 19
 
9.5%
13 7
 
3.5%
11 5
 
2.5%
6 5
 
2.5%
19 3
 
1.5%
0 3
 
1.5%
Other values (3) 5
 
2.5%
ValueCountFrequency (%)
0 3
 
1.5%
1 32
16.1%
3 1
 
0.5%
5 2
 
1.0%
6 5
 
2.5%
7 2
 
1.0%
9 36
18.1%
10 30
15.1%
11 5
 
2.5%
13 7
 
3.5%
ValueCountFrequency (%)
19 3
 
1.5%
15 54
27.1%
14 19
 
9.5%
13 7
 
3.5%
11 5
 
2.5%
10 30
15.1%
9 36
18.1%
7 2
 
1.0%
6 5
 
2.5%
5 2
 
1.0%

8.14
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.60804
Minimum0
Maximum40
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:51.578066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median21
Q331
95-th percentile32
Maximum40
Range40
Interquartile range (IQR)24

Descriptive statistics

Standard deviation11.708891
Coefficient of variation (CV)0.59714741
Kurtosis-1.0808775
Mean19.60804
Median Absolute Deviation (MAD)11
Skewness-0.48440816
Sum3902
Variance137.09812
MonotonicityNot monotonic
2023-12-10T15:37:51.788890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
32 43
21.6%
20 34
17.1%
1 33
16.6%
21 30
15.1%
31 11
 
5.5%
7 9
 
4.5%
30 8
 
4.0%
3 5
 
2.5%
23 4
 
2.0%
29 4
 
2.0%
Other values (8) 18
9.0%
ValueCountFrequency (%)
0 3
 
1.5%
1 33
16.6%
2 2
 
1.0%
3 5
 
2.5%
7 9
 
4.5%
8 2
 
1.0%
16 2
 
1.0%
18 2
 
1.0%
20 34
17.1%
21 30
15.1%
ValueCountFrequency (%)
40 3
 
1.5%
32 43
21.6%
31 11
 
5.5%
30 8
 
4.0%
29 4
 
2.0%
28 3
 
1.5%
24 1
 
0.5%
23 4
 
2.0%
21 30
15.1%
20 34
17.1%

0.39
Categorical

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
33 
19
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
19 8
 
4.0%

Length

2023-12-10T15:37:51.997655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:52.169938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 33
 
16.6%
19 8
 
4.0%

189.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.03518
Minimum1
Maximum189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:52.342667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25
Q186
median91
Q3136
95-th percentile181
Maximum189
Range188
Interquartile range (IQR)50

Descriptive statistics

Standard deviation44.292574
Coefficient of variation (CV)0.44276999
Kurtosis-0.43170933
Mean100.03518
Median Absolute Deviation (MAD)42
Skewness-0.30345125
Sum19907
Variance1961.8321
MonotonicityNot monotonic
2023-12-10T15:37:53.097015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
136 22
 
11.1%
86 21
 
10.6%
137 21
 
10.6%
91 16
 
8.0%
88 12
 
6.0%
87 11
 
5.5%
133 11
 
5.5%
29 10
 
5.0%
25 8
 
4.0%
128 8
 
4.0%
Other values (22) 59
29.6%
ValueCountFrequency (%)
1 3
 
1.5%
24 3
 
1.5%
25 8
4.0%
26 2
 
1.0%
28 7
3.5%
29 10
5.0%
30 2
 
1.0%
51 1
 
0.5%
70 2
 
1.0%
79 2
 
1.0%
ValueCountFrequency (%)
189 2
 
1.0%
184 6
 
3.0%
181 3
 
1.5%
172 3
 
1.5%
137 21
10.6%
136 22
11.1%
133 11
5.5%
128 8
 
4.0%
125 1
 
0.5%
123 6
 
3.0%

267
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.44221
Minimum1
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:53.385538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile35.9
Q184
median89
Q3132
95-th percentile256
Maximum267
Range266
Interquartile range (IQR)48

Descriptive statistics

Standard deviation52.581014
Coefficient of variation (CV)0.49867139
Kurtosis2.1080336
Mean105.44221
Median Absolute Deviation (MAD)39
Skewness1.0704688
Sum20983
Variance2764.7631
MonotonicityNot monotonic
2023-12-10T15:37:53.658907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
132 33
16.6%
84 21
 
10.6%
89 17
 
8.5%
85 13
 
6.5%
133 11
 
5.5%
40 11
 
5.5%
128 11
 
5.5%
86 10
 
5.0%
124 8
 
4.0%
36 6
 
3.0%
Other values (24) 58
29.1%
ValueCountFrequency (%)
1 3
 
1.5%
34 3
 
1.5%
35 4
 
2.0%
36 6
3.0%
39 1
 
0.5%
40 11
5.5%
41 3
 
1.5%
42 2
 
1.0%
43 2
 
1.0%
67 2
 
1.0%
ValueCountFrequency (%)
267 2
 
1.0%
261 3
 
1.5%
260 3
 
1.5%
256 3
 
1.5%
177 1
 
0.5%
173 2
 
1.0%
168 2
 
1.0%
167 3
 
1.5%
138 1
 
0.5%
133 11
5.5%

39.3
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20
Minimum0
Maximum39
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:53.896921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median18
Q327
95-th percentile38
Maximum39
Range39
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.9261844
Coefficient of variation (CV)0.44630922
Kurtosis-0.30720519
Mean20
Median Absolute Deviation (MAD)8
Skewness-0.20082607
Sum3980
Variance79.676768
MonotonicityNot monotonic
2023-12-10T15:37:54.202248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
27 43
21.6%
17 32
16.1%
18 32
16.1%
26 20
10.1%
6 19
9.5%
5 13
 
6.5%
38 9
 
4.5%
25 8
 
4.0%
19 5
 
2.5%
24 3
 
1.5%
Other values (8) 15
 
7.5%
ValueCountFrequency (%)
0 3
 
1.5%
5 13
6.5%
6 19
9.5%
10 1
 
0.5%
14 2
 
1.0%
16 2
 
1.0%
17 32
16.1%
18 32
16.1%
19 5
 
2.5%
20 1
 
0.5%
ValueCountFrequency (%)
39 2
 
1.0%
38 9
 
4.5%
34 3
 
1.5%
27 43
21.6%
26 20
10.1%
25 8
 
4.0%
24 3
 
1.5%
21 1
 
0.5%
20 1
 
0.5%
19 5
 
2.5%

53.1
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.864322
Minimum0
Maximum53
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:54.426175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median14
Q321
95-th percentile51
Maximum53
Range53
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.224089
Coefficient of variation (CV)0.57231893
Kurtosis4.5154219
Mean17.864322
Median Absolute Deviation (MAD)6
Skewness1.9197015
Sum3555
Variance104.532
MonotonicityNot monotonic
2023-12-10T15:37:54.634233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
21 54
27.1%
14 44
22.1%
13 21
 
10.6%
8 19
 
9.5%
7 13
 
6.5%
20 8
 
4.0%
19 7
 
3.5%
52 6
 
3.0%
15 4
 
2.0%
27 4
 
2.0%
Other values (10) 19
 
9.5%
ValueCountFrequency (%)
0 3
 
1.5%
7 13
 
6.5%
8 19
9.5%
11 2
 
1.0%
12 2
 
1.0%
13 21
10.6%
14 44
22.1%
15 4
 
2.0%
16 1
 
0.5%
19 7
 
3.5%
ValueCountFrequency (%)
53 2
 
1.0%
52 6
 
3.0%
51 3
 
1.5%
35 1
 
0.5%
34 2
 
1.0%
33 2
 
1.0%
27 4
 
2.0%
26 1
 
0.5%
21 54
27.1%
20 8
 
4.0%

56.4
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.487437
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:54.815481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q113
median13
Q320
95-th percentile54
Maximum56
Range56
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.813319
Coefficient of variation (CV)0.61834785
Kurtosis5.6371224
Mean17.487437
Median Absolute Deviation (MAD)5
Skewness2.2662509
Sum3480
Variance116.92787
MonotonicityNot monotonic
2023-12-10T15:37:55.007229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
13 64
32.2%
20 43
21.6%
19 19
 
9.5%
8 18
 
9.0%
18 7
 
3.5%
7 7
 
3.5%
9 7
 
3.5%
55 6
 
3.0%
14 4
 
2.0%
25 3
 
1.5%
Other values (11) 21
 
10.6%
ValueCountFrequency (%)
0 3
 
1.5%
7 7
 
3.5%
8 18
 
9.0%
9 7
 
3.5%
10 2
 
1.0%
12 2
 
1.0%
13 64
32.2%
14 4
 
2.0%
15 2
 
1.0%
18 7
 
3.5%
ValueCountFrequency (%)
56 2
 
1.0%
55 6
 
3.0%
54 3
 
1.5%
37 1
 
0.5%
36 2
 
1.0%
35 2
 
1.0%
29 1
 
0.5%
28 1
 
0.5%
25 3
 
1.5%
20 43
21.6%

26.5
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.939698
Minimum0
Maximum33
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:55.203176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q116
median17
Q325
95-th percentile26
Maximum33
Range33
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.084552
Coefficient of variation (CV)0.4506515
Kurtosis-0.51342519
Mean17.939698
Median Absolute Deviation (MAD)8
Skewness-0.66989345
Sum3570
Variance65.359982
MonotonicityNot monotonic
2023-12-10T15:37:55.447606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
17 46
23.1%
26 45
22.6%
16 23
11.6%
4 21
10.6%
25 20
10.1%
3 11
 
5.5%
24 8
 
4.0%
23 7
 
3.5%
18 4
 
2.0%
13 4
 
2.0%
Other values (5) 10
 
5.0%
ValueCountFrequency (%)
0 3
 
1.5%
3 11
 
5.5%
4 21
10.6%
7 1
 
0.5%
13 4
 
2.0%
15 2
 
1.0%
16 23
11.6%
17 46
23.1%
18 4
 
2.0%
20 1
 
0.5%
ValueCountFrequency (%)
33 3
 
1.5%
26 45
22.6%
25 20
10.1%
24 8
 
4.0%
23 7
 
3.5%
20 1
 
0.5%
18 4
 
2.0%
17 46
23.1%
16 23
11.6%
15 2
 
1.0%

15.11
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.366834
Minimum0
Maximum55
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:55.732787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114
median28
Q342
95-th percentile44
Maximum55
Range55
Interquartile range (IQR)28

Descriptive statistics

Standard deviation15.280248
Coefficient of variation (CV)0.55834911
Kurtosis-0.94446958
Mean27.366834
Median Absolute Deviation (MAD)14
Skewness-0.5115149
Sum5446
Variance233.48597
MonotonicityNot monotonic
2023-12-10T15:37:55.914837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
28 44
22.1%
2 32
16.1%
43 22
11.1%
44 21
10.6%
29 20
10.1%
42 11
 
5.5%
14 9
 
4.5%
41 8
 
4.0%
39 7
 
3.5%
9 4
 
2.0%
Other values (11) 21
10.6%
ValueCountFrequency (%)
0 3
 
1.5%
2 32
16.1%
4 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
9 4
 
2.0%
10 1
 
0.5%
14 9
 
4.5%
15 2
 
1.0%
22 2
 
1.0%
ValueCountFrequency (%)
55 3
 
1.5%
44 21
10.6%
43 22
11.1%
42 11
 
5.5%
41 8
 
4.0%
39 7
 
3.5%
33 1
 
0.5%
31 4
 
2.0%
29 20
10.1%
28 44
22.1%

77.3
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.432161
Minimum0
Maximum77
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:56.145616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q119
median20
Q330
95-th percentile73
Maximum77
Range77
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.770096
Coefficient of variation (CV)0.58076448
Kurtosis4.6512605
Mean25.432161
Median Absolute Deviation (MAD)8
Skewness1.9732716
Sum5061
Variance218.15573
MonotonicityNot monotonic
2023-12-10T15:37:56.366749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
19 44
22.1%
30 43
21.6%
20 21
10.6%
10 13
 
6.5%
12 12
 
6.0%
29 11
 
5.5%
28 8
 
4.0%
27 7
 
3.5%
11 7
 
3.5%
75 6
 
3.0%
Other values (12) 27
13.6%
ValueCountFrequency (%)
0 3
 
1.5%
10 13
 
6.5%
11 7
 
3.5%
12 12
 
6.0%
15 2
 
1.0%
17 2
 
1.0%
19 44
22.1%
20 21
10.6%
21 4
 
2.0%
23 1
 
0.5%
ValueCountFrequency (%)
77 2
 
1.0%
75 6
 
3.0%
73 3
 
1.5%
51 1
 
0.5%
50 2
 
1.0%
48 2
 
1.0%
39 1
 
0.5%
38 4
 
2.0%
30 43
21.6%
29 11
 
5.5%

71
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.854271
Minimum0
Maximum71
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:56.566372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q114
median14
Q321
95-th percentile68
Maximum71
Range71
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.762189
Coefficient of variation (CV)0.69316012
Kurtosis6.8151764
Mean19.854271
Median Absolute Deviation (MAD)5
Skewness2.6206597
Sum3951
Variance189.39785
MonotonicityNot monotonic
2023-12-10T15:37:56.758067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
14 64
32.2%
21 33
16.6%
22 21
 
10.6%
11 20
 
10.1%
9 11
 
5.5%
20 8
 
4.0%
19 8
 
4.0%
69 6
 
3.0%
15 4
 
2.0%
0 3
 
1.5%
Other values (11) 21
 
10.6%
ValueCountFrequency (%)
0 3
 
1.5%
9 11
 
5.5%
10 3
 
1.5%
11 20
 
10.1%
12 2
 
1.0%
14 64
32.2%
15 4
 
2.0%
16 1
 
0.5%
19 8
 
4.0%
20 8
 
4.0%
ValueCountFrequency (%)
71 2
 
1.0%
69 6
 
3.0%
68 3
 
1.5%
47 1
 
0.5%
46 2
 
1.0%
44 2
 
1.0%
36 1
 
0.5%
35 1
 
0.5%
27 3
 
1.5%
22 21
10.6%

64.2
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.155779
Minimum0
Maximum64
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:56.969946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q19
median10
Q315
95-th percentile61
Maximum64
Range64
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.802338
Coefficient of variation (CV)0.84471658
Kurtosis7.8388556
Mean15.155779
Median Absolute Deviation (MAD)2
Skewness2.9240575
Sum3016
Variance163.89985
MonotonicityNot monotonic
2023-12-10T15:37:57.267336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 52
26.1%
9 43
21.6%
15 43
21.6%
14 19
 
9.5%
13 7
 
3.5%
8 7
 
3.5%
62 6
 
3.0%
19 3
 
1.5%
0 3
 
1.5%
61 3
 
1.5%
Other values (9) 13
 
6.5%
ValueCountFrequency (%)
0 3
 
1.5%
7 2
 
1.0%
8 7
 
3.5%
9 43
21.6%
10 52
26.1%
11 1
 
0.5%
13 7
 
3.5%
14 19
 
9.5%
15 43
21.6%
17 1
 
0.5%
ValueCountFrequency (%)
64 2
 
1.0%
62 6
3.0%
61 3
1.5%
42 1
 
0.5%
41 2
 
1.0%
40 2
 
1.0%
33 1
 
0.5%
32 1
 
0.5%
19 3
1.5%
17 1
 
0.5%

Unnamed: 445
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
<NA>
188 
A000095004
 
8
B000095003
 
3

Length

Max length10
Median length4
Mean length4.3316583
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA000095004
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 188
94.5%
A000095004 8
 
4.0%
B000095003 3
 
1.5%

Length

2023-12-10T15:37:57.446413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:57.626680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
94.5%
a000095004 8
 
4.0%
b000095003 3
 
1.5%

0.40
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
17
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
17 8
 
4.0%

Length

2023-12-10T15:37:57.806954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:37:57.976634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
17 8
 
4.0%

36.2
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.78392
Minimum0
Maximum36
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:58.132560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q113
median14
Q320
95-th percentile34
Maximum36
Range36
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.3922251
Coefficient of variation (CV)0.468339
Kurtosis0.72609017
Mean15.78392
Median Absolute Deviation (MAD)6
Skewness0.45104499
Sum3141
Variance54.644993
MonotonicityNot monotonic
2023-12-10T15:37:58.326952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
13 44
22.1%
20 33
16.6%
5 28
14.1%
21 21
10.6%
14 20
10.1%
19 12
 
6.0%
35 6
 
3.0%
18 5
 
2.5%
15 4
 
2.0%
6 4
 
2.0%
Other values (10) 22
11.1%
ValueCountFrequency (%)
0 3
 
1.5%
5 28
14.1%
6 4
 
2.0%
10 3
 
1.5%
12 2
 
1.0%
13 44
22.1%
14 20
10.1%
15 4
 
2.0%
16 1
 
0.5%
18 5
 
2.5%
ValueCountFrequency (%)
36 2
 
1.0%
35 6
 
3.0%
34 3
 
1.5%
26 3
 
1.5%
24 1
 
0.5%
23 2
 
1.0%
22 2
 
1.0%
21 21
10.6%
20 33
16.6%
19 12
 
6.0%

21.6
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.487437
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:58.526922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q120
median29
Q343
95-th percentile45
Maximum56
Range56
Interquartile range (IQR)23

Descriptive statistics

Standard deviation14.935166
Coefficient of variation (CV)0.52427201
Kurtosis-0.78848651
Mean28.487437
Median Absolute Deviation (MAD)14
Skewness-0.5415006
Sum5669
Variance223.05918
MonotonicityNot monotonic
2023-12-10T15:37:58.720843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
28 32
16.1%
3 32
16.1%
44 32
16.1%
30 18
9.0%
29 14
7.0%
43 11
 
5.5%
45 11
 
5.5%
20 9
 
4.5%
42 8
 
4.0%
32 4
 
2.0%
Other values (13) 28
14.1%
ValueCountFrequency (%)
0 3
 
1.5%
3 32
16.1%
5 1
 
0.5%
10 1
 
0.5%
11 1
 
0.5%
13 4
 
2.0%
14 1
 
0.5%
20 9
 
4.5%
21 2
 
1.0%
23 2
 
1.0%
ValueCountFrequency (%)
56 3
 
1.5%
45 11
 
5.5%
44 32
16.1%
43 11
 
5.5%
42 8
 
4.0%
40 4
 
2.0%
39 3
 
1.5%
34 1
 
0.5%
32 4
 
2.0%
30 18
9.0%

119.1
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.36683
Minimum1
Maximum549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:58.915568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q1116
median281
Q3423
95-th percentile437
Maximum549
Range548
Interquartile range (IQR)307

Descriptive statistics

Standard deviation156.964
Coefficient of variation (CV)0.58055938
Kurtosis-0.97554807
Mean270.36683
Median Absolute Deviation (MAD)153
Skewness-0.51795994
Sum53803
Variance24637.698
MonotonicityNot monotonic
2023-12-10T15:37:59.109490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
435 21
 
10.6%
2 19
 
9.5%
292 13
 
6.5%
275 12
 
6.0%
423 11
 
5.5%
278 11
 
5.5%
437 11
 
5.5%
434 11
 
5.5%
281 10
 
5.0%
276 9
 
4.5%
Other values (27) 71
35.7%
ValueCountFrequency (%)
1 3
 
1.5%
2 19
9.5%
20 3
 
1.5%
21 6
 
3.0%
22 4
 
2.0%
60 1
 
0.5%
68 1
 
0.5%
71 1
 
0.5%
89 2
 
1.0%
91 2
 
1.0%
ValueCountFrequency (%)
549 3
 
1.5%
437 11
5.5%
435 21
10.6%
434 11
5.5%
423 11
5.5%
408 8
 
4.0%
392 4
 
2.0%
385 3
 
1.5%
329 1
 
0.5%
310 4
 
2.0%

185
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268.01005
Minimum1
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:59.339438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q1180
median272
Q3409
95-th percentile422
Maximum532
Range531
Interquartile range (IQR)229

Descriptive statistics

Standard deviation144.94726
Coefficient of variation (CV)0.54082769
Kurtosis-0.72586953
Mean268.01005
Median Absolute Deviation (MAD)130
Skewness-0.57684968
Sum53334
Variance21009.707
MonotonicityNot monotonic
2023-12-10T15:37:59.583761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
420 21
 
10.6%
4 19
 
9.5%
282 15
 
7.5%
266 12
 
6.0%
419 11
 
5.5%
409 11
 
5.5%
422 11
 
5.5%
272 10
 
5.0%
33 10
 
5.0%
267 9
 
4.5%
Other values (25) 70
35.2%
ValueCountFrequency (%)
1 3
 
1.5%
4 19
9.5%
32 3
 
1.5%
33 10
5.0%
93 1
 
0.5%
106 1
 
0.5%
111 1
 
0.5%
137 2
 
1.0%
142 3
 
1.5%
177 3
 
1.5%
ValueCountFrequency (%)
532 3
 
1.5%
422 11
5.5%
420 21
10.6%
419 11
5.5%
409 11
5.5%
395 8
 
4.0%
380 4
 
2.0%
372 3
 
1.5%
318 1
 
0.5%
300 4
 
2.0%

25.2
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.889447
Minimum0
Maximum109
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:37:59.808542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median56
Q384
95-th percentile87
Maximum109
Range109
Interquartile range (IQR)60

Descriptive statistics

Standard deviation31.204568
Coefficient of variation (CV)0.57904785
Kurtosis-0.95291349
Mean53.889447
Median Absolute Deviation (MAD)30
Skewness-0.52645639
Sum10724
Variance973.72509
MonotonicityNot monotonic
2023-12-10T15:38:00.053471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
55 32
16.1%
87 32
16.1%
0 22
11.1%
58 19
9.5%
56 12
 
6.0%
86 11
 
5.5%
84 11
 
5.5%
24 9
 
4.5%
4 9
 
4.5%
81 8
 
4.0%
Other values (14) 34
17.1%
ValueCountFrequency (%)
0 22
11.1%
4 9
4.5%
5 4
 
2.0%
13 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
19 5
 
2.5%
24 9
4.5%
25 2
 
1.0%
44 2
 
1.0%
ValueCountFrequency (%)
109 3
 
1.5%
87 32
16.1%
86 11
 
5.5%
84 11
 
5.5%
81 8
 
4.0%
78 4
 
2.0%
77 3
 
1.5%
66 1
 
0.5%
62 4
 
2.0%
58 19
9.5%

35.1
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.613065
Minimum0
Maximum85
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:00.296657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q134
median44
Q366
95-th percentile68
Maximum85
Range85
Interquartile range (IQR)32

Descriptive statistics

Standard deviation22.913232
Coefficient of variation (CV)0.5253754
Kurtosis-0.61047059
Mean43.613065
Median Absolute Deviation (MAD)19
Skewness-0.61705838
Sum8679
Variance525.01619
MonotonicityNot monotonic
2023-12-10T15:38:00.498196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
68 32
16.1%
43 32
16.1%
1 19
9.5%
45 18
9.0%
6 13
 
6.5%
44 12
 
6.0%
66 11
 
5.5%
67 11
 
5.5%
63 8
 
4.0%
34 8
 
4.0%
Other values (15) 35
17.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
6 13
6.5%
18 1
 
0.5%
20 1
 
0.5%
21 1
 
0.5%
26 2
 
1.0%
27 3
 
1.5%
33 3
 
1.5%
34 8
4.0%
ValueCountFrequency (%)
85 3
 
1.5%
68 32
16.1%
67 11
 
5.5%
66 11
 
5.5%
63 8
 
4.0%
61 4
 
2.0%
60 3
 
1.5%
51 1
 
0.5%
48 4
 
2.0%
46 2
 
1.0%

33.5
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.859296
Minimum0
Maximum80
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:00.682916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q133
median41
Q362
95-th percentile64
Maximum80
Range80
Interquartile range (IQR)29

Descriptive statistics

Standard deviation21.341861
Coefficient of variation (CV)0.52232572
Kurtosis-0.58743151
Mean40.859296
Median Absolute Deviation (MAD)18
Skewness-0.61606557
Sum8131
Variance455.47505
MonotonicityNot monotonic
2023-12-10T15:38:01.023680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
63 32
16.1%
40 32
16.1%
1 19
9.5%
42 18
9.0%
6 13
 
6.5%
41 12
 
6.0%
64 11
 
5.5%
62 11
 
5.5%
59 8
 
4.0%
33 8
 
4.0%
Other values (14) 35
17.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
6 13
6.5%
17 1
 
0.5%
19 1
 
0.5%
20 1
 
0.5%
25 2
 
1.0%
26 3
 
1.5%
32 5
 
2.5%
33 8
4.0%
ValueCountFrequency (%)
80 3
 
1.5%
64 11
 
5.5%
63 32
16.1%
62 11
 
5.5%
59 8
 
4.0%
57 4
 
2.0%
56 3
 
1.5%
48 1
 
0.5%
45 4
 
2.0%
43 2
 
1.0%

17
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.58794
Minimum0
Maximum104
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:01.234955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median53
Q380
95-th percentile83
Maximum104
Range104
Interquartile range (IQR)63

Descriptive statistics

Standard deviation30.324858
Coefficient of variation (CV)0.59944837
Kurtosis-1.0423318
Mean50.58794
Median Absolute Deviation (MAD)29
Skewness-0.51352129
Sum10067
Variance919.59703
MonotonicityNot monotonic
2023-12-10T15:38:01.480928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
82 32
16.1%
53 23
11.6%
0 22
11.1%
52 21
10.6%
55 17
8.5%
3 13
 
6.5%
83 11
 
5.5%
80 11
 
5.5%
77 8
 
4.0%
17 8
 
4.0%
Other values (13) 33
16.6%
ValueCountFrequency (%)
0 22
11.1%
3 13
6.5%
9 1
 
0.5%
10 2
 
1.0%
13 5
 
2.5%
16 3
 
1.5%
17 8
 
4.0%
42 2
 
1.0%
48 2
 
1.0%
52 21
10.6%
ValueCountFrequency (%)
104 3
 
1.5%
83 11
 
5.5%
82 32
16.1%
80 11
 
5.5%
77 8
 
4.0%
74 4
 
2.0%
73 3
 
1.5%
62 1
 
0.5%
59 4
 
2.0%
56 2
 
1.0%

9.9
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.467337
Minimum0
Maximum175
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:01.723748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median90
Q3135
95-th percentile139
Maximum175
Range175
Interquartile range (IQR)126

Descriptive statistics

Standard deviation53.572453
Coefficient of variation (CV)0.64183734
Kurtosis-1.1388096
Mean83.467337
Median Absolute Deviation (MAD)48
Skewness-0.52187575
Sum16610
Variance2870.0078
MonotonicityNot monotonic
2023-12-10T15:38:01.927174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
139 32
16.1%
88 30
15.1%
0 22
11.1%
93 17
8.5%
2 13
 
6.5%
138 11
 
5.5%
135 11
 
5.5%
90 10
 
5.0%
9 8
 
4.0%
130 8
 
4.0%
Other values (13) 37
18.6%
ValueCountFrequency (%)
0 22
11.1%
2 13
6.5%
4 1
 
0.5%
5 2
 
1.0%
7 5
 
2.5%
8 3
 
1.5%
9 8
 
4.0%
70 2
 
1.0%
80 2
 
1.0%
88 30
15.1%
ValueCountFrequency (%)
175 3
 
1.5%
139 32
16.1%
138 11
 
5.5%
135 11
 
5.5%
130 8
 
4.0%
125 4
 
2.0%
123 3
 
1.5%
105 1
 
0.5%
99 4
 
2.0%
93 17
8.5%

55.1
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.949749
Minimum0
Maximum120
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:02.169846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q154
median62
Q393
95-th percentile96
Maximum120
Range120
Interquartile range (IQR)39

Descriptive statistics

Standard deviation31.946886
Coefficient of variation (CV)0.51569032
Kurtosis-0.49606329
Mean61.949749
Median Absolute Deviation (MAD)27
Skewness-0.66534494
Sum12328
Variance1020.6035
MonotonicityNot monotonic
2023-12-10T15:38:02.458125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
95 32
16.1%
60 21
10.6%
1 19
9.5%
64 17
 
8.5%
61 13
 
6.5%
93 11
 
5.5%
96 11
 
5.5%
62 10
 
5.0%
10 10
 
5.0%
89 8
 
4.0%
Other values (18) 47
23.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
9 3
 
1.5%
10 10
5.0%
28 1
 
0.5%
32 1
 
0.5%
33 1
 
0.5%
41 2
 
1.0%
42 2
 
1.0%
43 1
 
0.5%
ValueCountFrequency (%)
120 3
 
1.5%
96 11
 
5.5%
95 32
16.1%
93 11
 
5.5%
89 8
 
4.0%
86 4
 
2.0%
84 3
 
1.5%
72 1
 
0.5%
68 4
 
2.0%
64 17
8.5%

0.41
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
11
 
8
1
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

Length

2023-12-10T15:38:02.673067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:02.846304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

48.2
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.311558
Minimum0
Maximum86
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:03.014247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q143
median46
Q367
95-th percentile69
Maximum86
Range86
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.498337
Coefficient of variation (CV)0.49652535
Kurtosis-0.33164558
Mean45.311558
Median Absolute Deviation (MAD)18
Skewness-0.75036154
Sum9017
Variance506.17517
MonotonicityNot monotonic
2023-12-10T15:38:03.196427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
68 32
16.1%
44 23
11.6%
43 21
10.6%
46 21
10.6%
1 19
9.5%
67 11
 
5.5%
69 11
 
5.5%
9 10
 
5.0%
64 8
 
4.0%
47 6
 
3.0%
Other values (16) 37
18.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
8 3
 
1.5%
9 10
5.0%
24 1
 
0.5%
28 1
 
0.5%
29 1
 
0.5%
35 2
 
1.0%
36 2
 
1.0%
37 3
 
1.5%
ValueCountFrequency (%)
86 3
 
1.5%
69 11
 
5.5%
68 32
16.1%
67 11
 
5.5%
64 8
 
4.0%
62 4
 
2.0%
61 3
 
1.5%
52 1
 
0.5%
49 4
 
2.0%
48 2
 
1.0%

44.2
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.060302
Minimum0
Maximum59
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:03.386852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q130
median31
Q345
95-th percentile47
Maximum59
Range59
Interquartile range (IQR)15

Descriptive statistics

Standard deviation15.304861
Coefficient of variation (CV)0.47737733
Kurtosis-0.21667244
Mean32.060302
Median Absolute Deviation (MAD)13
Skewness-0.85128079
Sum6380
Variance234.23877
MonotonicityNot monotonic
2023-12-10T15:38:03.625796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
30 44
22.1%
47 43
21.6%
1 19
9.5%
31 18
9.0%
45 11
 
5.5%
44 10
 
5.0%
8 10
 
5.0%
42 7
 
3.5%
33 6
 
3.0%
43 6
 
3.0%
Other values (12) 25
12.6%
ValueCountFrequency (%)
0 3
 
1.5%
1 19
9.5%
7 3
 
1.5%
8 10
 
5.0%
22 1
 
0.5%
24 2
 
1.0%
25 1
 
0.5%
26 1
 
0.5%
27 2
 
1.0%
30 44
22.1%
ValueCountFrequency (%)
59 3
 
1.5%
47 43
21.6%
45 11
 
5.5%
44 10
 
5.0%
43 6
 
3.0%
42 7
 
3.5%
41 3
 
1.5%
35 1
 
0.5%
34 3
 
1.5%
33 6
 
3.0%

24.11
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.140704
Minimum0
Maximum83
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:03.845089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median42
Q364
95-th percentile66
Maximum83
Range83
Interquartile range (IQR)41

Descriptive statistics

Standard deviation23.088549
Coefficient of variation (CV)0.5612094
Kurtosis-0.83217451
Mean41.140704
Median Absolute Deviation (MAD)22
Skewness-0.55252369
Sum8187
Variance533.08111
MonotonicityNot monotonic
2023-12-10T15:38:04.039929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
42 32
16.1%
65 32
16.1%
0 22
11.1%
44 18
9.0%
4 13
6.5%
41 12
 
6.0%
64 11
 
5.5%
66 11
 
5.5%
23 9
 
4.5%
61 8
 
4.0%
Other values (12) 31
15.6%
ValueCountFrequency (%)
0 22
11.1%
4 13
6.5%
12 1
 
0.5%
14 2
 
1.0%
18 5
 
2.5%
23 9
4.5%
24 2
 
1.0%
33 2
 
1.0%
38 2
 
1.0%
41 12
6.0%
ValueCountFrequency (%)
83 3
 
1.5%
66 11
 
5.5%
65 32
16.1%
64 11
 
5.5%
61 8
 
4.0%
59 4
 
2.0%
58 3
 
1.5%
49 1
 
0.5%
47 4
 
2.0%
44 18
9.0%

14.13
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.336683
Minimum0
Maximum178
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:04.238348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median91
Q3137
95-th percentile142
Maximum178
Range178
Interquartile range (IQR)124

Descriptive statistics

Standard deviation54.035363
Coefficient of variation (CV)0.63320205
Kurtosis-1.1272661
Mean85.336683
Median Absolute Deviation (MAD)50
Skewness-0.51887205
Sum16982
Variance2919.8204
MonotonicityNot monotonic
2023-12-10T15:38:04.459443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
141 32
16.1%
0 22
11.1%
90 20
10.1%
95 17
8.5%
2 13
 
6.5%
89 12
 
6.0%
91 12
 
6.0%
142 11
 
5.5%
137 11
 
5.5%
13 9
 
4.5%
Other values (15) 40
20.1%
ValueCountFrequency (%)
0 22
11.1%
2 13
6.5%
7 1
 
0.5%
8 2
 
1.0%
10 4
 
2.0%
11 1
 
0.5%
13 9
4.5%
14 2
 
1.0%
72 2
 
1.0%
82 2
 
1.0%
ValueCountFrequency (%)
178 3
 
1.5%
142 11
 
5.5%
141 32
16.1%
137 11
 
5.5%
133 8
 
4.0%
127 4
 
2.0%
125 3
 
1.5%
107 1
 
0.5%
101 4
 
2.0%
95 17
8.5%

245
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.59799
Minimum0
Maximum309
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:04.672370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1155
median164
Q3239
95-th percentile245
Maximum309
Range309
Interquartile range (IQR)84

Descriptive statistics

Standard deviation86.71723
Coefficient of variation (CV)0.53332289
Kurtosis-0.48482911
Mean162.59799
Median Absolute Deviation (MAD)74
Skewness-0.80486032
Sum32357
Variance7519.878
MonotonicityNot monotonic
2023-12-10T15:38:04.887946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
244 21
 
10.6%
155 21
 
10.6%
0 19
 
9.5%
164 15
 
7.5%
245 13
 
6.5%
5 13
 
6.5%
156 11
 
5.5%
243 11
 
5.5%
238 11
 
5.5%
158 10
 
5.0%
Other values (20) 54
27.1%
ValueCountFrequency (%)
0 19
9.5%
2 3
 
1.5%
5 13
6.5%
69 1
 
0.5%
73 1
 
0.5%
76 1
 
0.5%
95 2
 
1.0%
98 3
 
1.5%
124 2
 
1.0%
142 2
 
1.0%
ValueCountFrequency (%)
309 3
 
1.5%
245 13
6.5%
244 21
10.6%
243 11
5.5%
239 6
 
3.0%
238 11
5.5%
235 3
 
1.5%
229 8
 
4.0%
221 4
 
2.0%
216 3
 
1.5%

362
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean166.1407
Minimum0
Maximum362
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:05.670346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1149
median158
Q3236
95-th percentile347
Maximum362
Range362
Interquartile range (IQR)87

Descriptive statistics

Standard deviation92.553726
Coefficient of variation (CV)0.55708038
Kurtosis-0.16953712
Mean166.1407
Median Absolute Deviation (MAD)72
Skewness-0.34528329
Sum33062
Variance8566.1922
MonotonicityNot monotonic
2023-12-10T15:38:06.008925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
236 22
 
11.1%
0 19
 
9.5%
8 13
 
6.5%
149 12
 
6.0%
158 11
 
5.5%
230 11
 
5.5%
151 11
 
5.5%
238 11
 
5.5%
153 10
 
5.0%
237 10
 
5.0%
Other values (22) 69
34.7%
ValueCountFrequency (%)
0 19
9.5%
3 3
 
1.5%
8 13
6.5%
102 1
 
0.5%
108 1
 
0.5%
113 1
 
0.5%
120 2
 
1.0%
137 2
 
1.0%
141 2
 
1.0%
145 3
 
1.5%
ValueCountFrequency (%)
362 2
 
1.0%
353 6
 
3.0%
347 3
 
1.5%
299 3
 
1.5%
238 11
5.5%
237 10
5.0%
236 22
11.1%
230 11
5.5%
222 8
 
4.0%
213 4
 
2.0%

66.2
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.703518
Minimum0
Maximum66
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:06.217603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q131
median33
Q349
95-th percentile63
Maximum66
Range66
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.384983
Coefficient of variation (CV)0.54549153
Kurtosis-0.40456369
Mean33.703518
Median Absolute Deviation (MAD)14
Skewness-0.57721796
Sum6707
Variance338.00761
MonotonicityNot monotonic
2023-12-10T15:38:06.418306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
31 44
22.1%
49 43
21.6%
0 19
9.5%
33 17
 
8.5%
1 16
 
8.0%
47 11
 
5.5%
46 8
 
4.0%
65 6
 
3.0%
35 4
 
2.0%
44 4
 
2.0%
Other values (13) 27
13.6%
ValueCountFrequency (%)
0 19
9.5%
1 16
 
8.0%
19 1
 
0.5%
20 1
 
0.5%
21 1
 
0.5%
25 2
 
1.0%
26 2
 
1.0%
27 3
 
1.5%
28 2
 
1.0%
31 44
22.1%
ValueCountFrequency (%)
66 2
 
1.0%
65 6
 
3.0%
63 3
 
1.5%
62 3
 
1.5%
49 43
21.6%
47 11
 
5.5%
46 8
 
4.0%
44 4
 
2.0%
43 3
 
1.5%
37 1
 
0.5%

69.1
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.447236
Minimum0
Maximum69
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:06.664802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median25
Q338
95-th percentile66
Maximum69
Range69
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.227423
Coefficient of variation (CV)0.5912225
Kurtosis0.60784394
Mean27.447236
Median Absolute Deviation (MAD)12
Skewness0.13790849
Sum5462
Variance263.32927
MonotonicityNot monotonic
2023-12-10T15:38:06.847116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
38 43
21.6%
24 34
17.1%
25 24
12.1%
0 19
9.5%
1 16
 
8.0%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%
27 6
 
3.0%
26 6
 
3.0%
Other values (9) 25
12.6%
ValueCountFrequency (%)
0 19
9.5%
1 16
8.0%
19 3
 
1.5%
21 1
 
0.5%
22 3
 
1.5%
24 34
17.1%
25 24
12.1%
26 6
 
3.0%
27 6
 
3.0%
28 3
 
1.5%
ValueCountFrequency (%)
69 2
 
1.0%
68 6
 
3.0%
66 3
 
1.5%
48 3
 
1.5%
38 43
21.6%
37 11
 
5.5%
36 8
 
4.0%
34 7
 
3.5%
29 1
 
0.5%
28 3
 
1.5%

60.6
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.371859
Minimum0
Maximum60
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:07.033468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122
median24
Q335
95-th percentile58
Maximum60
Range60
Interquartile range (IQR)13

Descriptive statistics

Standard deviation14.611204
Coefficient of variation (CV)0.57588228
Kurtosis0.23281964
Mean25.371859
Median Absolute Deviation (MAD)11
Skewness-0.086148059
Sum5049
Variance213.48728
MonotonicityNot monotonic
2023-12-10T15:38:07.246738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
23 34
17.1%
35 33
16.6%
24 23
11.6%
0 22
11.1%
36 21
10.6%
1 13
 
6.5%
22 12
 
6.0%
33 8
 
4.0%
59 6
 
3.0%
25 4
 
2.0%
Other values (10) 23
11.6%
ValueCountFrequency (%)
0 22
11.1%
1 13
 
6.5%
17 1
 
0.5%
18 3
 
1.5%
19 1
 
0.5%
21 2
 
1.0%
22 12
 
6.0%
23 34
17.1%
24 23
11.6%
25 4
 
2.0%
ValueCountFrequency (%)
60 2
 
1.0%
59 6
 
3.0%
58 3
 
1.5%
45 3
 
1.5%
36 21
10.6%
35 33
16.6%
33 8
 
4.0%
32 4
 
2.0%
31 3
 
1.5%
27 1
 
0.5%

33.6
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.778894
Minimum0
Maximum58
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:07.433948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129
median31
Q345
95-th percentile46
Maximum58
Range58
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16.174283
Coefficient of variation (CV)0.54314585
Kurtosis-0.53850925
Mean29.778894
Median Absolute Deviation (MAD)14
Skewness-0.74674497
Sum5926
Variance261.60743
MonotonicityNot monotonic
2023-12-10T15:38:07.604204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
46 43
21.6%
30 23
11.6%
31 23
11.6%
0 22
11.1%
29 21
10.6%
1 13
 
6.5%
45 11
 
5.5%
43 8
 
4.0%
33 6
 
3.0%
32 6
 
3.0%
Other values (9) 23
11.6%
ValueCountFrequency (%)
0 22
11.1%
1 13
6.5%
9 1
 
0.5%
10 2
 
1.0%
13 5
 
2.5%
23 2
 
1.0%
27 2
 
1.0%
29 21
10.6%
30 23
11.6%
31 23
11.6%
ValueCountFrequency (%)
58 3
 
1.5%
46 43
21.6%
45 11
 
5.5%
43 8
 
4.0%
42 4
 
2.0%
41 3
 
1.5%
35 1
 
0.5%
33 6
 
3.0%
32 6
 
3.0%
31 23
11.6%

0.42
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
11
 
8
1
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

Length

2023-12-10T15:38:07.803725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:07.950877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
11 8
 
4.0%
1 8
 
4.0%

16.3
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.507538
Minimum0
Maximum99
Zeros35
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:08.177228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median50
Q376
95-th percentile78
Maximum99
Range99
Interquartile range (IQR)60

Descriptive statistics

Standard deviation29.328834
Coefficient of variation (CV)0.61735117
Kurtosis-1.051009
Mean47.507538
Median Absolute Deviation (MAD)28
Skewness-0.52040791
Sum9454
Variance860.1805
MonotonicityNot monotonic
2023-12-10T15:38:08.385210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
78 43
21.6%
0 35
17.6%
50 23
11.6%
49 21
10.6%
52 20
10.1%
16 11
 
5.5%
76 11
 
5.5%
73 8
 
4.0%
56 4
 
2.0%
70 4
 
2.0%
Other values (8) 19
9.5%
ValueCountFrequency (%)
0 35
17.6%
5 3
 
1.5%
6 2
 
1.0%
7 3
 
1.5%
16 11
 
5.5%
40 2
 
1.0%
45 2
 
1.0%
49 21
10.6%
50 23
11.6%
52 20
10.1%
ValueCountFrequency (%)
99 3
 
1.5%
78 43
21.6%
76 11
 
5.5%
73 8
 
4.0%
70 4
 
2.0%
69 3
 
1.5%
59 1
 
0.5%
56 4
 
2.0%
52 20
10.1%
50 23
11.6%

127.1
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.768844
Minimum0
Maximum127
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:08.688489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134
median36
Q353
95-th percentile122
Maximum127
Range127
Interquartile range (IQR)19

Descriptive statistics

Standard deviation27.166282
Coefficient of variation (CV)0.6663491
Kurtosis2.8690308
Mean40.768844
Median Absolute Deviation (MAD)16
Skewness1.1016409
Sum8113
Variance738.0069
MonotonicityNot monotonic
2023-12-10T15:38:08.899109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
34 34
17.1%
53 22
11.1%
54 21
10.6%
36 20
10.1%
0 19
9.5%
3 13
 
6.5%
52 11
 
5.5%
35 11
 
5.5%
50 8
 
4.0%
124 6
 
3.0%
Other values (12) 34
17.1%
ValueCountFrequency (%)
0 19
9.5%
1 3
 
1.5%
3 13
 
6.5%
27 2
 
1.0%
31 2
 
1.0%
34 34
17.1%
35 11
 
5.5%
36 20
10.1%
38 5
 
2.5%
40 2
 
1.0%
ValueCountFrequency (%)
127 2
 
1.0%
124 6
 
3.0%
122 3
 
1.5%
68 3
 
1.5%
54 21
10.6%
53 22
11.1%
52 11
5.5%
51 3
 
1.5%
50 8
 
4.0%
49 2
 
1.0%

90
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.150754
Minimum0
Maximum90
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:09.218433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median26
Q338
95-th percentile86
Maximum90
Range90
Interquartile range (IQR)14

Descriptive statistics

Standard deviation19.290637
Coefficient of variation (CV)0.66175431
Kurtosis2.7534694
Mean29.150754
Median Absolute Deviation (MAD)11
Skewness1.0559802
Sum5801
Variance372.12867
MonotonicityNot monotonic
2023-12-10T15:38:09.467291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
38 32
16.1%
25 25
12.6%
24 21
10.6%
0 19
9.5%
26 19
9.5%
2 13
6.5%
39 11
 
5.5%
36 11
 
5.5%
37 11
 
5.5%
88 6
 
3.0%
Other values (11) 31
15.6%
ValueCountFrequency (%)
0 19
9.5%
1 3
 
1.5%
2 13
6.5%
20 2
 
1.0%
22 2
 
1.0%
24 21
10.6%
25 25
12.6%
26 19
9.5%
27 5
 
2.5%
28 1
 
0.5%
ValueCountFrequency (%)
90 2
 
1.0%
88 6
 
3.0%
86 3
 
1.5%
49 3
 
1.5%
39 11
 
5.5%
38 32
16.1%
37 11
 
5.5%
36 11
 
5.5%
35 6
 
3.0%
34 3
 
1.5%

77.4
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.115578
Minimum0
Maximum77
Zeros19
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:09.730956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median18
Q326
95-th percentile74
Maximum77
Range77
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.894275
Coefficient of variation (CV)0.75272746
Kurtosis5.0882354
Mean21.115578
Median Absolute Deviation (MAD)8
Skewness1.8401613
Sum4202
Variance252.62799
MonotonicityNot monotonic
2023-12-10T15:38:09.964225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
26 54
27.1%
17 47
23.6%
0 19
 
9.5%
18 17
 
8.5%
2 13
 
6.5%
25 8
 
4.0%
75 6
 
3.0%
24 5
 
2.5%
23 4
 
2.0%
19 4
 
2.0%
Other values (10) 22
11.1%
ValueCountFrequency (%)
0 19
9.5%
1 3
 
1.5%
2 13
 
6.5%
13 2
 
1.0%
15 2
 
1.0%
17 47
23.6%
18 17
 
8.5%
19 4
 
2.0%
20 1
 
0.5%
22 1
 
0.5%
ValueCountFrequency (%)
77 2
 
1.0%
75 6
 
3.0%
74 3
 
1.5%
33 3
 
1.5%
31 3
 
1.5%
30 2
 
1.0%
26 54
27.1%
25 8
 
4.0%
24 5
 
2.5%
23 4
 
2.0%

47.1
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.180905
Minimum0
Maximum47
Zeros22
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:10.210663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median25
Q337
95-th percentile46
Maximum47
Range47
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.628084
Coefficient of variation (CV)0.5412071
Kurtosis-0.47745838
Mean25.180905
Median Absolute Deviation (MAD)11
Skewness-0.65128918
Sum5011
Variance185.72468
MonotonicityNot monotonic
2023-12-10T15:38:10.455414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37 43
21.6%
23 32
16.1%
0 22
11.1%
25 17
 
8.5%
24 15
 
7.5%
1 13
 
6.5%
36 11
 
5.5%
46 9
 
4.5%
34 8
 
4.0%
19 5
 
2.5%
Other values (11) 24
12.1%
ValueCountFrequency (%)
0 22
11.1%
1 13
6.5%
13 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
18 2
 
1.0%
19 5
 
2.5%
21 2
 
1.0%
23 32
16.1%
24 15
7.5%
ValueCountFrequency (%)
47 2
 
1.0%
46 9
 
4.5%
45 3
 
1.5%
37 43
21.6%
36 11
 
5.5%
34 8
 
4.0%
33 4
 
2.0%
32 3
 
1.5%
28 1
 
0.5%
26 4
 
2.0%

21.7
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.628141
Minimum0
Maximum100
Zeros35
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:10.750226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121
median51
Q377
95-th percentile80
Maximum100
Range100
Interquartile range (IQR)56

Descriptive statistics

Standard deviation29.44319
Coefficient of variation (CV)0.60547636
Kurtosis-0.99597214
Mean48.628141
Median Absolute Deviation (MAD)28
Skewness-0.5400839
Sum9677
Variance866.90143
MonotonicityNot monotonic
2023-12-10T15:38:10.955285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 35
17.6%
79 32
16.1%
51 23
11.6%
50 21
10.6%
53 19
9.5%
77 11
 
5.5%
80 11
 
5.5%
21 8
 
4.0%
74 8
 
4.0%
57 4
 
2.0%
Other values (12) 27
13.6%
ValueCountFrequency (%)
0 35
17.6%
6 2
 
1.0%
7 1
 
0.5%
8 2
 
1.0%
9 3
 
1.5%
20 3
 
1.5%
21 8
 
4.0%
40 2
 
1.0%
46 2
 
1.0%
50 21
10.6%
ValueCountFrequency (%)
100 3
 
1.5%
80 11
 
5.5%
79 32
16.1%
77 11
 
5.5%
74 8
 
4.0%
72 4
 
2.0%
70 3
 
1.5%
60 1
 
0.5%
57 4
 
2.0%
53 19
9.5%

0.43
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
12
 
8
1
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 183
92.0%
12 8
 
4.0%
1 8
 
4.0%

Length

2023-12-10T15:38:11.166152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:11.333812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
12 8
 
4.0%
1 8
 
4.0%

0.44
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
15
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
15 8
 
4.0%

Length

2023-12-10T15:38:11.590028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:11.868273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
15 8
 
4.0%

0.45
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
18
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row18
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
18 8
 
4.0%

Length

2023-12-10T15:38:12.108531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:12.381701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
18 8
 
4.0%

0.46
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
158 
1
28 
23
 
8
2
 
5

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row23
2nd row0
3rd row0
4th row0
5th row2

Common Values

ValueCountFrequency (%)
0 158
79.4%
1 28
 
14.1%
23 8
 
4.0%
2 5
 
2.5%

Length

2023-12-10T15:38:12.587450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:12.788508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
79.4%
1 28
 
14.1%
23 8
 
4.0%
2 5
 
2.5%

0.47
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
16
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

Length

2023-12-10T15:38:13.058575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:13.222950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

0.48
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
183 
10
 
8
1
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 183
92.0%
10 8
 
4.0%
1 8
 
4.0%

Length

2023-12-10T15:38:13.410278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:13.588293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 183
92.0%
10 8
 
4.0%
1 8
 
4.0%

0.49
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
186 
9
 
8
1
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 186
93.5%
9 8
 
4.0%
1 5
 
2.5%

Length

2023-12-10T15:38:13.843018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:14.047558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 186
93.5%
9 8
 
4.0%
1 5
 
2.5%

494663
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494625.27
Minimum494522
Maximum494880
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:14.317051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum494522
5-th percentile494571
Q1494590
median494602
Q3494669
95-th percentile494675
Maximum494880
Range358
Interquartile range (IQR)79

Descriptive statistics

Standard deviation52.413341
Coefficient of variation (CV)0.00010596576
Kurtosis6.3692047
Mean494625.27
Median Absolute Deviation (MAD)26
Skewness1.650749
Sum98430429
Variance2747.1583
MonotonicityNot monotonic
2023-12-10T15:38:14.528959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
494675 41
20.6%
494663 30
15.1%
494596 14
 
7.0%
494588 13
 
6.5%
494591 13
 
6.5%
494581 12
 
6.0%
494602 10
 
5.0%
494611 10
 
5.0%
494598 10
 
5.0%
494599 9
 
4.5%
Other values (8) 37
18.6%
ValueCountFrequency (%)
494522 1
 
0.5%
494529 2
 
1.0%
494548 5
 
2.5%
494571 6
3.0%
494576 7
3.5%
494581 12
6.0%
494588 13
6.5%
494590 5
 
2.5%
494591 13
6.5%
494596 14
7.0%
ValueCountFrequency (%)
494880 3
 
1.5%
494675 41
20.6%
494669 8
 
4.0%
494663 30
15.1%
494611 10
 
5.0%
494602 10
 
5.0%
494599 9
 
4.5%
494598 10
 
5.0%
494596 14
 
7.0%
494591 13
 
6.5%

0.50
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
0
177 
1
 
14
16
 
8

Length

Max length2
Median length1
Mean length1.040201
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row16
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

Length

2023-12-10T15:38:14.758982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:38:14.994506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 177
88.9%
1 14
 
7.0%
16 8
 
4.0%

9775718
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15534523
Minimum1230560
Maximum32935042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:15.217695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1230560
5-th percentile4258243.6
Q17136945.5
median15322605
Q323724774
95-th percentile32935042
Maximum32935042
Range31704482
Interquartile range (IQR)16587828

Descriptive statistics

Standard deviation9262502.4
Coefficient of variation (CV)0.59625278
Kurtosis-1.0391438
Mean15534523
Median Absolute Deviation (MAD)8489910
Skewness0.29636884
Sum3.09137 × 109
Variance8.579395 × 1013
MonotonicityNot monotonic
2023-12-10T15:38:15.502527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4316395 11
 
5.5%
32935042 11
 
5.5%
13666834 11
 
5.5%
9373601 11
 
5.5%
5032502 10
 
5.0%
20465055 10
 
5.0%
7674311 9
 
4.5%
25486449 9
 
4.5%
15322605 9
 
4.5%
15858134 8
 
4.0%
Other values (47) 100
50.3%
ValueCountFrequency (%)
1230560 2
 
1.0%
1275458 1
 
0.5%
2036089 4
 
2.0%
2797058 2
 
1.0%
3734881 1
 
0.5%
4316395 11
5.5%
4405827 6
3.0%
5032502 10
5.0%
5077079 8
4.0%
5703911 2
 
1.0%
ValueCountFrequency (%)
32935042 11
5.5%
32449235 1
 
0.5%
32438256 2
 
1.0%
32409186 1
 
0.5%
32035479 1
 
0.5%
30499311 3
 
1.5%
30023220 1
 
0.5%
27457455 3
 
1.5%
26552027 1
 
0.5%
25848830 1
 
0.5%

494802
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494717.31
Minimum494661
Maximum494995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:15.809891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum494661
5-th percentile494677
Q1494685
median494711
Q3494734
95-th percentile494795
Maximum494995
Range334
Interquartile range (IQR)49

Descriptive statistics

Standard deviation47.964985
Coefficient of variation (CV)9.695433 × 10-5
Kurtosis12.732213
Mean494717.31
Median Absolute Deviation (MAD)26
Skewness2.8400469
Sum98448745
Variance2300.6398
MonotonicityNot monotonic
2023-12-10T15:38:16.122959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
494711 18
 
9.0%
494685 15
 
7.5%
494687 13
 
6.5%
494686 11
 
5.5%
494681 11
 
5.5%
494722 10
 
5.0%
494683 10
 
5.0%
494713 9
 
4.5%
494716 8
 
4.0%
494679 8
 
4.0%
Other values (38) 86
43.2%
ValueCountFrequency (%)
494661 4
 
2.0%
494666 3
 
1.5%
494675 2
 
1.0%
494677 3
 
1.5%
494679 8
4.0%
494681 11
5.5%
494683 10
5.0%
494685 15
7.5%
494686 11
5.5%
494687 13
6.5%
ValueCountFrequency (%)
494995 1
 
0.5%
494985 1
 
0.5%
494972 1
 
0.5%
494802 2
1.0%
494798 4
2.0%
494795 2
1.0%
494793 1
 
0.5%
494792 1
 
0.5%
494790 1
 
0.5%
494786 1
 
0.5%

278407
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278571.51
Minimum278367
Maximum279647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:16.431542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum278367
5-th percentile278431
Q1278484
median278534
Q3278567
95-th percentile278913.5
Maximum279647
Range1280
Interquartile range (IQR)83

Descriptive statistics

Standard deviation181.08455
Coefficient of variation (CV)0.00065004691
Kurtosis15.607494
Mean278571.51
Median Absolute Deviation (MAD)44
Skewness3.4300633
Sum55435731
Variance32791.615
MonotonicityNot monotonic
2023-12-10T15:38:16.728670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
278494 11
 
5.5%
278463 11
 
5.5%
278484 11
 
5.5%
278564 11
 
5.5%
278534 10
 
5.0%
278441 10
 
5.0%
278510 9
 
4.5%
278594 9
 
4.5%
278541 9
 
4.5%
278531 9
 
4.5%
Other values (43) 99
49.7%
ValueCountFrequency (%)
278367 3
 
1.5%
278377 3
 
1.5%
278407 2
 
1.0%
278431 3
 
1.5%
278441 10
5.0%
278442 4
 
2.0%
278444 2
 
1.0%
278461 2
 
1.0%
278463 11
5.5%
278472 4
 
2.0%
ValueCountFrequency (%)
279647 1
 
0.5%
279620 1
 
0.5%
279584 1
 
0.5%
278961 2
1.0%
278942 2
1.0%
278932 2
1.0%
278927 1
 
0.5%
278912 2
1.0%
278890 4
2.0%
278850 2
1.0%

1732
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1923.6583
Minimum753
Maximum3492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:16.966958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum753
5-th percentile1531.3
Q11578
median1688
Q32405.5
95-th percentile2455
Maximum3492
Range2739
Interquartile range (IQR)827.5

Descriptive statistics

Standard deviation481.75217
Coefficient of variation (CV)0.25043542
Kurtosis0.56511403
Mean1923.6583
Median Absolute Deviation (MAD)138
Skewness0.75980167
Sum382808
Variance232085.16
MonotonicityNot monotonic
2023-12-10T15:38:17.229975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2441 21
 
10.6%
2455 11
 
5.5%
1637 11
 
5.5%
2376 11
 
5.5%
2435 11
 
5.5%
1578 10
 
5.0%
1550 9
 
4.5%
1560 9
 
4.5%
2291 8
 
4.0%
1545 8
 
4.0%
Other values (41) 90
45.2%
ValueCountFrequency (%)
753 1
 
0.5%
786 1
 
0.5%
1009 1
 
0.5%
1138 1
 
0.5%
1172 1
 
0.5%
1185 1
 
0.5%
1240 2
 
1.0%
1417 2
 
1.0%
1544 4
2.0%
1545 8
4.0%
ValueCountFrequency (%)
3492 2
 
1.0%
3381 2
 
1.0%
3086 3
 
1.5%
2455 11
5.5%
2441 21
10.6%
2435 11
5.5%
2376 11
5.5%
2291 8
 
4.0%
2205 4
 
2.0%
2160 3
 
1.5%

1811
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1969.598
Minimum787
Maximum3344
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:17.501440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum787
5-th percentile1476.7
Q11610
median1737
Q32490
95-th percentile2540
Maximum3344
Range2557
Interquartile range (IQR)880

Descriptive statistics

Standard deviation495.02023
Coefficient of variation (CV)0.25133059
Kurtosis-0.27254334
Mean1969.598
Median Absolute Deviation (MAD)183
Skewness0.57229434
Sum391950
Variance245045.03
MonotonicityNot monotonic
2023-12-10T15:38:17.777789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1598 12
 
6.0%
2527 11
 
5.5%
2520 11
 
5.5%
2460 11
 
5.5%
2540 11
 
5.5%
2528 10
 
5.0%
1633 10
 
5.0%
1695 9
 
4.5%
1604 9
 
4.5%
1614 9
 
4.5%
Other values (43) 96
48.2%
ValueCountFrequency (%)
787 1
 
0.5%
823 1
 
0.5%
1056 1
 
0.5%
1146 1
 
0.5%
1180 1
 
0.5%
1190 1
 
0.5%
1284 2
 
1.0%
1465 2
 
1.0%
1478 1
 
0.5%
1502 6
3.0%
ValueCountFrequency (%)
3344 2
 
1.0%
3238 2
 
1.0%
3195 3
 
1.5%
2540 11
5.5%
2528 10
5.0%
2527 11
5.5%
2520 11
5.5%
2460 11
5.5%
2372 8
4.0%
2282 4
 
2.0%

1829
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1954.7286
Minimum779
Maximum3195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:18.057746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum779
5-th percentile1465
Q11604
median1695
Q32490
95-th percentile2540
Maximum3195
Range2416
Interquartile range (IQR)886

Descriptive statistics

Standard deviation493.80649
Coefficient of variation (CV)0.2526215
Kurtosis-0.61243542
Mean1954.7286
Median Absolute Deviation (MAD)191
Skewness0.46412867
Sum388991
Variance243844.85
MonotonicityNot monotonic
2023-12-10T15:38:18.306890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1598 12
 
6.0%
2520 11
 
5.5%
2460 11
 
5.5%
2527 11
 
5.5%
2540 11
 
5.5%
2528 10
 
5.0%
1633 10
 
5.0%
1695 9
 
4.5%
1604 9
 
4.5%
1614 9
 
4.5%
Other values (43) 96
48.2%
ValueCountFrequency (%)
779 1
0.5%
814 1
0.5%
1045 1
0.5%
1066 1
0.5%
1100 1
0.5%
1110 1
0.5%
1284 2
1.0%
1456 1
0.5%
1465 2
1.0%
1478 1
0.5%
ValueCountFrequency (%)
3195 3
 
1.5%
3145 2
 
1.0%
3045 2
 
1.0%
2540 11
5.5%
2528 10
5.0%
2527 11
5.5%
2520 11
5.5%
2460 11
5.5%
2372 8
4.0%
2282 4
 
2.0%

1831
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1967.3668
Minimum778
Maximum3289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:18.609520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum778
5-th percentile1473.1
Q11614
median1696
Q32490
95-th percentile2540
Maximum3289
Range2511
Interquartile range (IQR)876

Descriptive statistics

Standard deviation492.48945
Coefficient of variation (CV)0.25032924
Kurtosis-0.3555219
Mean1967.3668
Median Absolute Deviation (MAD)135
Skewness0.54545183
Sum391506
Variance242545.86
MonotonicityNot monotonic
2023-12-10T15:38:19.363115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1598 12
 
6.0%
2520 11
 
5.5%
2460 11
 
5.5%
2527 11
 
5.5%
2540 11
 
5.5%
2528 10
 
5.0%
1633 10
 
5.0%
1695 9
 
4.5%
1604 9
 
4.5%
1614 9
 
4.5%
Other values (42) 96
48.2%
ValueCountFrequency (%)
778 1
0.5%
815 1
0.5%
1048 1
0.5%
1119 1
0.5%
1153 1
0.5%
1165 1
0.5%
1284 2
1.0%
1465 2
1.0%
1474 1
0.5%
1519 1
0.5%
ValueCountFrequency (%)
3289 2
 
1.0%
3195 3
 
1.5%
3186 2
 
1.0%
2540 11
5.5%
2528 10
5.0%
2527 11
5.5%
2520 11
5.5%
2460 11
5.5%
2372 8
4.0%
2282 4
 
2.0%

1775
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1947.3518
Minimum762
Maximum3359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:19.588661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum762
5-th percentile1539.7
Q11589.5
median1728
Q32438.5
95-th percentile2489
Maximum3359
Range2597
Interquartile range (IQR)849

Descriptive statistics

Standard deviation478.42386
Coefficient of variation (CV)0.24567922
Kurtosis0.039358644
Mean1947.3518
Median Absolute Deviation (MAD)163
Skewness0.61716284
Sum387523
Variance228889.39
MonotonicityNot monotonic
2023-12-10T15:38:19.853885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1601 14
 
7.0%
1565 12
 
6.0%
2475 11
 
5.5%
1661 11
 
5.5%
2489 11
 
5.5%
2468 11
 
5.5%
2409 11
 
5.5%
2476 10
 
5.0%
1573 9
 
4.5%
1582 9
 
4.5%
Other values (42) 90
45.2%
ValueCountFrequency (%)
762 1
0.5%
798 1
0.5%
1026 1
0.5%
1159 1
0.5%
1193 1
0.5%
1202 1
0.5%
1259 2
1.0%
1438 2
1.0%
1551 1
0.5%
1558 1
0.5%
ValueCountFrequency (%)
3359 2
 
1.0%
3254 2
 
1.0%
3131 3
 
1.5%
2489 11
5.5%
2476 10
5.0%
2475 11
5.5%
2468 11
5.5%
2409 11
5.5%
2325 8
4.0%
2236 4
 
2.0%

1705
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1595.2864
Minimum32
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:20.092275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile209.8
Q11490
median1580
Q32292
95-th percentile2367
Maximum2978
Range2946
Interquartile range (IQR)802

Descriptive statistics

Standard deviation716.75998
Coefficient of variation (CV)0.44929861
Kurtosis-0.4406936
Mean1595.2864
Median Absolute Deviation (MAD)631
Skewness-0.60757172
Sum317462
Variance513744.87
MonotonicityNot monotonic
2023-12-10T15:38:20.353707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1490 12
 
6.0%
2350 11
 
5.5%
2367 11
 
5.5%
2354 11
 
5.5%
2292 11
 
5.5%
2356 10
 
5.0%
1524 10
 
5.0%
1580 9
 
4.5%
1495 9
 
4.5%
1505 9
 
4.5%
Other values (42) 96
48.2%
ValueCountFrequency (%)
32 1
 
0.5%
34 2
 
1.0%
205 1
 
0.5%
208 6
3.0%
210 4
2.0%
211 1
 
0.5%
215 3
1.5%
216 2
 
1.0%
222 2
 
1.0%
576 2
 
1.0%
ValueCountFrequency (%)
2978 3
 
1.5%
2367 11
5.5%
2356 10
5.0%
2354 11
5.5%
2350 11
5.5%
2292 11
5.5%
2211 8
4.0%
2126 4
 
2.0%
2085 3
 
1.5%
1781 1
 
0.5%

278451
Real number (ℝ)

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean278536.36
Minimum278345
Maximum279699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:20.587495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum278345
5-th percentile278408
Q1278453
median278478
Q3278485
95-th percentile278938
Maximum279699
Range1354
Interquartile range (IQR)32

Descriptive statistics

Standard deviation201.76904
Coefficient of variation (CV)0.00072439032
Kurtosis15.537575
Mean278536.36
Median Absolute Deviation (MAD)23
Skewness3.5410254
Sum55428736
Variance40710.747
MonotonicityNot monotonic
2023-12-10T15:38:20.813829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
278485 41
20.6%
278451 30
15.1%
278477 14
 
7.0%
278478 13
 
6.5%
278473 13
 
6.5%
278508 12
 
6.0%
278455 10
 
5.0%
278938 10
 
5.0%
278457 10
 
5.0%
278453 9
 
4.5%
Other values (8) 37
18.6%
ValueCountFrequency (%)
278345 8
 
4.0%
278408 5
 
2.5%
278451 30
15.1%
278453 9
 
4.5%
278455 10
 
5.0%
278457 10
 
5.0%
278473 13
 
6.5%
278477 14
 
7.0%
278478 13
 
6.5%
278485 41
20.6%
ValueCountFrequency (%)
279699 3
 
1.5%
278938 10
 
5.0%
278897 7
 
3.5%
278880 1
 
0.5%
278872 2
 
1.0%
278652 6
 
3.0%
278579 5
 
2.5%
278508 12
 
6.0%
278485 41
20.6%
278478 13
 
6.5%

1689
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1552.3266
Minimum11
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:21.046381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile126.9
Q11490
median1580
Q32292
95-th percentile2367
Maximum2978
Range2967
Interquartile range (IQR)802

Descriptive statistics

Standard deviation781.28542
Coefficient of variation (CV)0.50329963
Kurtosis-0.51616111
Mean1552.3266
Median Absolute Deviation (MAD)631
Skewness-0.6892178
Sum308913
Variance610406.91
MonotonicityNot monotonic
2023-12-10T15:38:21.278087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1490 12
 
6.0%
2350 11
 
5.5%
2367 11
 
5.5%
2292 11
 
5.5%
2354 11
 
5.5%
2356 10
 
5.0%
1524 10
 
5.0%
1580 9
 
4.5%
1495 9
 
4.5%
1505 9
 
4.5%
Other values (39) 96
48.2%
ValueCountFrequency (%)
11 3
1.5%
124 1
 
0.5%
126 6
3.0%
127 5
2.5%
129 3
1.5%
130 2
 
1.0%
135 2
 
1.0%
165 2
 
1.0%
166 1
 
0.5%
170 4
2.0%
ValueCountFrequency (%)
2978 3
 
1.5%
2367 11
5.5%
2356 10
5.0%
2354 11
5.5%
2350 11
5.5%
2292 11
5.5%
2211 8
4.0%
2126 4
 
2.0%
2085 3
 
1.5%
1781 1
 
0.5%

122
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.05025
Minimum105
Maximum731
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:21.583939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum105
5-th percentile120
Q1306
median384
Q3563
95-th percentile582
Maximum731
Range626
Interquartile range (IQR)257

Descriptive statistics

Standard deviation145.82911
Coefficient of variation (CV)0.35563716
Kurtosis-0.70961377
Mean410.05025
Median Absolute Deviation (MAD)139
Skewness-0.19738312
Sum81600
Variance21266.129
MonotonicityNot monotonic
2023-12-10T15:38:21.817518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
579 21
 
10.6%
388 13
 
6.5%
366 12
 
6.0%
370 11
 
5.5%
577 11
 
5.5%
582 11
 
5.5%
563 11
 
5.5%
374 10
 
5.0%
367 9
 
4.5%
543 8
 
4.0%
Other values (38) 82
41.2%
ValueCountFrequency (%)
105 1
 
0.5%
110 1
 
0.5%
118 3
1.5%
120 6
3.0%
122 2
 
1.0%
141 1
 
0.5%
189 1
 
0.5%
213 2
 
1.0%
215 1
 
0.5%
220 4
2.0%
ValueCountFrequency (%)
731 3
 
1.5%
582 11
5.5%
579 21
10.6%
577 11
5.5%
563 11
5.5%
543 8
 
4.0%
523 4
 
2.0%
512 3
 
1.5%
493 2
 
1.0%
478 2
 
1.0%

193
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean181.57789
Minimum98
Maximum453
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:22.079062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile127
Q1130.5
median188
Q3201
95-th percentile243
Maximum453
Range355
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation55.660612
Coefficient of variation (CV)0.30653849
Kurtosis8.0866859
Mean181.57789
Median Absolute Deviation (MAD)45
Skewness1.9987992
Sum36134
Variance3098.1038
MonotonicityNot monotonic
2023-12-10T15:38:22.320245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
200 33
16.6%
127 21
 
10.6%
134 15
 
7.5%
129 12
 
6.0%
201 11
 
5.5%
188 11
 
5.5%
195 11
 
5.5%
128 11
 
5.5%
234 6
 
3.0%
236 4
 
2.0%
Other values (29) 64
32.2%
ValueCountFrequency (%)
98 1
 
0.5%
102 3
 
1.5%
116 2
 
1.0%
127 21
10.6%
128 11
5.5%
129 12
6.0%
132 1
 
0.5%
133 3
 
1.5%
134 15
7.5%
135 2
 
1.0%
ValueCountFrequency (%)
453 2
 
1.0%
438 2
 
1.0%
253 3
1.5%
251 2
 
1.0%
243 2
 
1.0%
242 3
1.5%
238 1
 
0.5%
236 4
2.0%
234 6
3.0%
230 1
 
0.5%

542
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.58794
Minimum141
Maximum1513
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:22.572021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum141
5-th percentile176
Q1185
median277
Q3519
95-th percentile847
Maximum1513
Range1372
Interquartile range (IQR)334

Descriptive statistics

Standard deviation270.81391
Coefficient of variation (CV)0.73274552
Kurtosis4.2182103
Mean369.58794
Median Absolute Deviation (MAD)97
Skewness1.9578369
Sum73548
Variance73340.173
MonotonicityNot monotonic
2023-12-10T15:38:22.832115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
278 21
 
10.6%
187 15
 
7.5%
176 12
 
6.0%
277 11
 
5.5%
280 11
 
5.5%
178 11
 
5.5%
271 11
 
5.5%
180 10
 
5.0%
177 9
 
4.5%
261 8
 
4.0%
Other values (37) 80
40.2%
ValueCountFrequency (%)
141 2
 
1.0%
162 2
 
1.0%
176 12
6.0%
177 9
4.5%
178 11
5.5%
179 2
 
1.0%
180 10
5.0%
184 1
 
0.5%
185 2
 
1.0%
187 15
7.5%
ValueCountFrequency (%)
1513 2
 
1.0%
1465 2
 
1.0%
876 2
 
1.0%
851 2
 
1.0%
847 3
1.5%
832 1
 
0.5%
828 4
2.0%
819 6
3.0%
806 1
 
0.5%
725 2
 
1.0%

158.1
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean583.27638
Minimum49
Maximum1120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:23.161784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum49
5-th percentile137
Q1376.5
median573
Q3862
95-th percentile891
Maximum1120
Range1071
Interquartile range (IQR)485.5

Descriptive statistics

Standard deviation275.48308
Coefficient of variation (CV)0.47230282
Kurtosis-0.95432972
Mean583.27638
Median Absolute Deviation (MAD)278
Skewness-0.37509298
Sum116072
Variance75890.928
MonotonicityNot monotonic
2023-12-10T15:38:23.421265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
886 21
 
10.6%
862 11
 
5.5%
884 11
 
5.5%
891 11
 
5.5%
594 11
 
5.5%
573 10
 
5.0%
563 9
 
4.5%
566 9
 
4.5%
832 8
 
4.0%
561 8
 
4.0%
Other values (35) 90
45.2%
ValueCountFrequency (%)
49 1
 
0.5%
50 2
 
1.0%
113 1
 
0.5%
118 1
 
0.5%
134 1
 
0.5%
137 6
3.0%
138 5
2.5%
142 5
2.5%
146 2
 
1.0%
151 4
2.0%
ValueCountFrequency (%)
1120 3
 
1.5%
891 11
5.5%
886 21
10.6%
884 11
5.5%
862 11
5.5%
832 8
 
4.0%
800 4
 
2.0%
784 3
 
1.5%
670 1
 
0.5%
632 4
 
2.0%

717
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean379.16583
Minimum0
Maximum717
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:23.693233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile109.9
Q1315
median334
Q3497.5
95-th percentile686
Maximum717
Range717
Interquartile range (IQR)182.5

Descriptive statistics

Standard deviation151.52933
Coefficient of variation (CV)0.39963869
Kurtosis0.048256657
Mean379.16583
Median Absolute Deviation (MAD)133
Skewness-0.13914816
Sum75454
Variance22961.139
MonotonicityNot monotonic
2023-12-10T15:38:23.977573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
498 21
 
10.6%
334 13
 
6.5%
315 12
 
6.0%
501 11
 
5.5%
497 11
 
5.5%
485 11
 
5.5%
322 10
 
5.0%
318 9
 
4.5%
316 9
 
4.5%
467 8
 
4.0%
Other values (34) 84
42.2%
ValueCountFrequency (%)
0 3
1.5%
107 1
 
0.5%
109 6
3.0%
110 4
2.0%
111 1
 
0.5%
113 6
3.0%
117 2
 
1.0%
118 1
 
0.5%
151 1
 
0.5%
253 2
 
1.0%
ValueCountFrequency (%)
717 2
 
1.0%
699 3
 
1.5%
698 3
 
1.5%
686 3
 
1.5%
630 3
 
1.5%
516 2
 
1.0%
501 11
5.5%
500 2
 
1.0%
498 21
10.6%
497 11
5.5%

127.2
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.9799
Minimum108
Maximum757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:24.230370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108
5-th percentile123
Q1297
median398
Q3583
95-th percentile602
Maximum757
Range649
Interquartile range (IQR)286

Descriptive statistics

Standard deviation153.5604
Coefficient of variation (CV)0.36563751
Kurtosis-0.80820294
Mean419.9799
Median Absolute Deviation (MAD)143
Skewness-0.16273624
Sum83576
Variance23580.798
MonotonicityNot monotonic
2023-12-10T15:38:24.459113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
599 21
 
10.6%
402 13
 
6.5%
379 12
 
6.0%
602 11
 
5.5%
597 11
 
5.5%
583 11
 
5.5%
383 11
 
5.5%
387 10
 
5.0%
380 9
 
4.5%
562 8
 
4.0%
Other values (35) 82
41.2%
ValueCountFrequency (%)
108 1
 
0.5%
114 1
 
0.5%
121 3
1.5%
123 6
3.0%
127 2
 
1.0%
146 1
 
0.5%
201 1
 
0.5%
216 3
1.5%
223 6
3.0%
225 2
 
1.0%
ValueCountFrequency (%)
757 3
 
1.5%
602 11
5.5%
599 21
10.6%
597 11
5.5%
583 11
5.5%
562 8
 
4.0%
541 4
 
2.0%
530 3
 
1.5%
454 2
 
1.0%
453 1
 
0.5%

217
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.55276
Minimum101
Maximum425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:24.723900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile131
Q1135
median202
Q3208
95-th percentile230
Maximum425
Range324
Interquartile range (IQR)73

Descriptive statistics

Standard deviation51.763897
Coefficient of variation (CV)0.2789713
Kurtosis6.1730457
Mean185.55276
Median Absolute Deviation (MAD)22
Skewness1.5827892
Sum36925
Variance2679.501
MonotonicityNot monotonic
2023-12-10T15:38:24.964518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
207 32
16.1%
132 18
 
9.0%
139 15
 
7.5%
208 14
 
7.0%
131 12
 
6.0%
202 11
 
5.5%
134 10
 
5.0%
195 8
 
4.0%
224 8
 
4.0%
222 6
 
3.0%
Other values (29) 65
32.7%
ValueCountFrequency (%)
101 1
 
0.5%
105 2
 
1.0%
106 1
 
0.5%
120 2
 
1.0%
131 12
6.0%
132 18
9.0%
133 4
 
2.0%
134 10
5.0%
136 1
 
0.5%
137 1
 
0.5%
ValueCountFrequency (%)
425 2
 
1.0%
412 2
 
1.0%
262 3
 
1.5%
237 2
 
1.0%
230 2
 
1.0%
229 5
2.5%
226 2
 
1.0%
225 3
 
1.5%
224 8
4.0%
222 6
3.0%

616
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean373.40201
Minimum146
Maximum1382
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:25.298089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum146
5-th percentile182
Q1191.5
median287
Q3591
95-th percentile800
Maximum1382
Range1236
Interquartile range (IQR)399.5

Descriptive statistics

Standard deviation254.47087
Coefficient of variation (CV)0.68149304
Kurtosis2.8138096
Mean373.40201
Median Absolute Deviation (MAD)101
Skewness1.6902993
Sum74307
Variance64755.423
MonotonicityNot monotonic
2023-12-10T15:38:25.565006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
288 21
 
10.6%
193 15
 
7.5%
182 12
 
6.0%
186 12
 
6.0%
280 11
 
5.5%
290 11
 
5.5%
184 11
 
5.5%
287 11
 
5.5%
183 9
 
4.5%
270 8
 
4.0%
Other values (35) 78
39.2%
ValueCountFrequency (%)
146 2
 
1.0%
167 2
 
1.0%
182 12
6.0%
183 9
4.5%
184 11
5.5%
186 12
6.0%
191 2
 
1.0%
192 1
 
0.5%
193 15
7.5%
194 2
 
1.0%
ValueCountFrequency (%)
1382 2
 
1.0%
1338 2
 
1.0%
828 2
 
1.0%
803 2
 
1.0%
800 3
1.5%
786 1
 
0.5%
781 4
2.0%
774 6
3.0%
761 1
 
0.5%
742 2
 
1.0%

144
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601.45729
Minimum70
Maximum1160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:25.801065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile132.8
Q1373
median593
Q3893
95-th percentile922
Maximum1160
Range1090
Interquartile range (IQR)520

Descriptive statistics

Standard deviation289.52803
Coefficient of variation (CV)0.48137755
Kurtosis-0.98287244
Mean601.45729
Median Absolute Deviation (MAD)300
Skewness-0.39274901
Sum119690
Variance83826.482
MonotonicityNot monotonic
2023-12-10T15:38:26.031122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
580 12
 
6.0%
615 11
 
5.5%
915 11
 
5.5%
893 11
 
5.5%
917 11
 
5.5%
922 11
 
5.5%
593 10
 
5.0%
918 10
 
5.0%
582 9
 
4.5%
586 9
 
4.5%
Other values (37) 94
47.2%
ValueCountFrequency (%)
70 1
 
0.5%
72 2
 
1.0%
129 1
 
0.5%
131 6
3.0%
133 5
2.5%
135 3
1.5%
136 2
 
1.0%
139 3
1.5%
140 2
 
1.0%
141 7
3.5%
ValueCountFrequency (%)
1160 3
 
1.5%
922 11
5.5%
918 10
5.0%
917 11
5.5%
915 11
5.5%
893 11
5.5%
861 8
4.0%
828 4
 
2.0%
812 3
 
1.5%
694 1
 
0.5%

1
Real number (ℝ)

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.5351759
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:26.197516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile18.5
Maximum73
Range72
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.31716
Coefficient of variation (CV)3.156914
Kurtosis18.759225
Mean4.5351759
Median Absolute Deviation (MAD)0
Skewness4.4741303
Sum902.5
Variance204.98108
MonotonicityNot monotonic
2023-12-10T15:38:26.384577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1.0 158
79.4%
2.0 19
 
9.5%
73.0 8
 
4.0%
3.0 6
 
3.0%
18.5 5
 
2.5%
4.0 3
 
1.5%
ValueCountFrequency (%)
1.0 158
79.4%
2.0 19
 
9.5%
3.0 6
 
3.0%
4.0 3
 
1.5%
18.5 5
 
2.5%
73.0 8
 
4.0%
ValueCountFrequency (%)
73.0 8
 
4.0%
18.5 5
 
2.5%
4.0 3
 
1.5%
3.0 6
 
3.0%
2.0 19
 
9.5%
1.0 158
79.4%

707
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389.20603
Minimum0
Maximum707
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:26.601905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile105.9
Q1326
median346
Q3514
95-th percentile678
Maximum707
Range707
Interquartile range (IQR)188

Descriptive statistics

Standard deviation153.56577
Coefficient of variation (CV)0.39456165
Kurtosis-0.021776549
Mean389.20603
Median Absolute Deviation (MAD)138
Skewness-0.29546593
Sum77452
Variance23582.447
MonotonicityNot monotonic
2023-12-10T15:38:26.820184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
516 21
 
10.6%
346 15
 
7.5%
326 12
 
6.0%
502 11
 
5.5%
518 11
 
5.5%
514 11
 
5.5%
333 10
 
5.0%
329 9
 
4.5%
327 9
 
4.5%
484 8
 
4.0%
Other values (33) 82
41.2%
ValueCountFrequency (%)
0 3
1.5%
104 1
 
0.5%
105 6
3.0%
106 5
2.5%
109 5
2.5%
112 2
 
1.0%
117 1
 
0.5%
122 1
 
0.5%
157 1
 
0.5%
262 2
 
1.0%
ValueCountFrequency (%)
707 2
 
1.0%
690 3
 
1.5%
689 3
 
1.5%
678 3
 
1.5%
652 3
 
1.5%
518 11
5.5%
516 21
10.6%
514 11
5.5%
502 11
5.5%
486 2
 
1.0%

127.3
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean419.51759
Minimum109
Maximum757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:27.057562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109
5-th percentile124
Q1301.5
median398
Q3583
95-th percentile602
Maximum757
Range648
Interquartile range (IQR)281.5

Descriptive statistics

Standard deviation153.92415
Coefficient of variation (CV)0.36690751
Kurtosis-0.79751946
Mean419.51759
Median Absolute Deviation (MAD)143
Skewness-0.16847215
Sum83484
Variance23692.645
MonotonicityNot monotonic
2023-12-10T15:38:27.404423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
599 21
 
10.6%
402 13
 
6.5%
379 12
 
6.0%
597 11
 
5.5%
602 11
 
5.5%
383 11
 
5.5%
583 11
 
5.5%
387 10
 
5.0%
380 9
 
4.5%
562 8
 
4.0%
Other values (37) 82
41.2%
ValueCountFrequency (%)
109 1
 
0.5%
114 1
 
0.5%
122 3
1.5%
124 6
3.0%
127 2
 
1.0%
146 1
 
0.5%
169 1
 
0.5%
208 3
1.5%
214 4
2.0%
215 2
 
1.0%
ValueCountFrequency (%)
757 3
 
1.5%
602 11
5.5%
599 21
10.6%
597 11
5.5%
583 11
5.5%
562 8
 
4.0%
541 4
 
2.0%
530 3
 
1.5%
453 1
 
0.5%
434 2
 
1.0%

199
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183.61809
Minimum101
Maximum406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:27.629847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile131
Q1135
median195
Q3207
95-th percentile235
Maximum406
Range305
Interquartile range (IQR)72

Descriptive statistics

Standard deviation49.639253
Coefficient of variation (CV)0.27033966
Kurtosis5.1604706
Mean183.61809
Median Absolute Deviation (MAD)31
Skewness1.4335608
Sum36540
Variance2464.0554
MonotonicityNot monotonic
2023-12-10T15:38:27.873011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
207 34
17.1%
132 18
 
9.0%
139 15
 
7.5%
131 12
 
6.0%
208 12
 
6.0%
202 11
 
5.5%
134 10
 
5.0%
195 8
 
4.0%
226 6
 
3.0%
194 6
 
3.0%
Other values (30) 67
33.7%
ValueCountFrequency (%)
101 1
 
0.5%
105 2
 
1.0%
106 1
 
0.5%
120 2
 
1.0%
131 12
6.0%
132 18
9.0%
133 4
 
2.0%
134 10
5.0%
136 1
 
0.5%
137 1
 
0.5%
ValueCountFrequency (%)
406 2
 
1.0%
393 2
 
1.0%
262 3
1.5%
243 2
 
1.0%
235 5
2.5%
231 1
 
0.5%
230 4
2.0%
226 6
3.0%
224 1
 
0.5%
220 2
 
1.0%

580
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368.58794
Minimum146
Maximum1327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:28.643562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum146
5-th percentile182
Q1191.5
median287
Q3535.5
95-th percentile820
Maximum1327
Range1181
Interquartile range (IQR)344

Descriptive statistics

Standard deviation247.31481
Coefficient of variation (CV)0.67097913
Kurtosis2.6079948
Mean368.58794
Median Absolute Deviation (MAD)101
Skewness1.6806364
Sum73349
Variance61164.617
MonotonicityNot monotonic
2023-12-10T15:38:28.927014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
288 21
 
10.6%
193 15
 
7.5%
182 12
 
6.0%
186 12
 
6.0%
290 11
 
5.5%
287 11
 
5.5%
280 11
 
5.5%
184 11
 
5.5%
183 9
 
4.5%
270 8
 
4.0%
Other values (37) 78
39.2%
ValueCountFrequency (%)
146 2
 
1.0%
167 2
 
1.0%
182 12
6.0%
183 9
4.5%
184 11
5.5%
186 12
6.0%
191 2
 
1.0%
192 1
 
0.5%
193 15
7.5%
194 2
 
1.0%
ValueCountFrequency (%)
1327 2
 
1.0%
1285 2
 
1.0%
848 2
 
1.0%
823 2
 
1.0%
820 3
1.5%
805 1
 
0.5%
801 4
2.0%
793 6
3.0%
780 1
 
0.5%
705 2
 
1.0%

144.1
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean597.09548
Minimum64
Maximum1160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:29.153618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum64
5-th percentile104.8
Q1372
median593
Q3893
95-th percentile922
Maximum1160
Range1096
Interquartile range (IQR)521

Descriptive statistics

Standard deviation294.54268
Coefficient of variation (CV)0.49329243
Kurtosis-0.96781031
Mean597.09548
Median Absolute Deviation (MAD)300
Skewness-0.40857823
Sum118822
Variance86755.39
MonotonicityNot monotonic
2023-12-10T15:38:29.377404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
580 12
 
6.0%
615 11
 
5.5%
915 11
 
5.5%
893 11
 
5.5%
917 11
 
5.5%
922 11
 
5.5%
593 10
 
5.0%
918 10
 
5.0%
582 9
 
4.5%
586 9
 
4.5%
Other values (38) 94
47.2%
ValueCountFrequency (%)
64 1
 
0.5%
66 1
 
0.5%
67 1
 
0.5%
102 1
 
0.5%
103 6
3.0%
105 5
2.5%
108 5
2.5%
111 2
 
1.0%
133 1
 
0.5%
138 1
 
0.5%
ValueCountFrequency (%)
1160 3
 
1.5%
922 11
5.5%
918 10
5.0%
917 11
5.5%
915 11
5.5%
893 11
5.5%
861 8
4.0%
828 4
 
2.0%
812 3
 
1.5%
694 1
 
0.5%

779
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean385.90955
Minimum0
Maximum779
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:29.604393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile78.9
Q1326
median346
Q3514
95-th percentile746
Maximum779
Range779
Interquartile range (IQR)188

Descriptive statistics

Standard deviation168.87304
Coefficient of variation (CV)0.43759746
Kurtosis0.1464861
Mean385.90955
Median Absolute Deviation (MAD)138
Skewness-0.070158857
Sum76796
Variance28518.103
MonotonicityNot monotonic
2023-12-10T15:38:29.832079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
516 21
 
10.6%
346 15
 
7.5%
326 12
 
6.0%
518 11
 
5.5%
514 11
 
5.5%
502 11
 
5.5%
333 10
 
5.0%
329 9
 
4.5%
327 9
 
4.5%
484 8
 
4.0%
Other values (34) 82
41.2%
ValueCountFrequency (%)
0 3
1.5%
76 1
 
0.5%
78 6
3.0%
79 5
2.5%
81 5
2.5%
83 2
 
1.0%
109 1
 
0.5%
114 1
 
0.5%
147 1
 
0.5%
246 2
 
1.0%
ValueCountFrequency (%)
779 2
 
1.0%
760 3
 
1.5%
758 3
 
1.5%
746 3
 
1.5%
652 3
 
1.5%
518 11
5.5%
516 21
10.6%
514 11
5.5%
502 11
5.5%
484 8
 
4.0%

109.1
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.1608
Minimum104
Maximum757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:30.084879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104
5-th percentile109
Q1309
median398
Q3583
95-th percentile602
Maximum757
Range653
Interquartile range (IQR)274

Descriptive statistics

Standard deviation154.81633
Coefficient of variation (CV)0.36846923
Kurtosis-0.66326697
Mean420.1608
Median Absolute Deviation (MAD)143
Skewness-0.23560248
Sum83612
Variance23968.095
MonotonicityNot monotonic
2023-12-10T15:38:30.332131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
599 21
 
10.6%
402 13
 
6.5%
379 12
 
6.0%
583 11
 
5.5%
602 11
 
5.5%
383 11
 
5.5%
597 11
 
5.5%
387 10
 
5.0%
380 9
 
4.5%
562 8
 
4.0%
Other values (36) 82
41.2%
ValueCountFrequency (%)
104 3
1.5%
106 6
3.0%
109 3
1.5%
114 1
 
0.5%
147 1
 
0.5%
169 1
 
0.5%
208 3
1.5%
214 4
2.0%
215 2
 
1.0%
216 2
 
1.0%
ValueCountFrequency (%)
757 3
 
1.5%
602 11
5.5%
599 21
10.6%
597 11
5.5%
583 11
5.5%
562 8
 
4.0%
541 4
 
2.0%
530 3
 
1.5%
453 1
 
0.5%
451 2
 
1.0%

181
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.35678
Minimum101
Maximum429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:30.564171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile131
Q1135.5
median195
Q3207
95-th percentile246
Maximum429
Range328
Interquartile range (IQR)71.5

Descriptive statistics

Standard deviation52.728946
Coefficient of variation (CV)0.28601576
Kurtosis6.3125325
Mean184.35678
Median Absolute Deviation (MAD)42
Skewness1.710516
Sum36687
Variance2780.3418
MonotonicityNot monotonic
2023-12-10T15:38:30.789806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
207 33
16.6%
132 18
 
9.0%
139 15
 
7.5%
131 12
 
6.0%
208 11
 
5.5%
202 11
 
5.5%
134 10
 
5.0%
195 8
 
4.0%
177 6
 
3.0%
237 6
 
3.0%
Other values (31) 69
34.7%
ValueCountFrequency (%)
101 1
 
0.5%
105 2
 
1.0%
106 1
 
0.5%
120 2
 
1.0%
131 12
6.0%
132 18
9.0%
133 4
 
2.0%
134 10
5.0%
137 2
 
1.0%
138 2
 
1.0%
ValueCountFrequency (%)
429 2
 
1.0%
416 2
 
1.0%
262 3
1.5%
254 2
 
1.0%
246 2
 
1.0%
245 3
1.5%
241 5
2.5%
237 6
3.0%
234 1
 
0.5%
218 2
 
1.0%

525
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.42714
Minimum146
Maximum1377
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:31.015872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum146
5-th percentile182
Q1191.5
median287
Q3503
95-th percentile852
Maximum1377
Range1231
Interquartile range (IQR)311.5

Descriptive statistics

Standard deviation254.23947
Coefficient of variation (CV)0.68819924
Kurtosis3.1294586
Mean369.42714
Median Absolute Deviation (MAD)101
Skewness1.8008912
Sum73516
Variance64637.711
MonotonicityNot monotonic
2023-12-10T15:38:31.240539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
288 21
 
10.6%
193 15
 
7.5%
182 12
 
6.0%
186 12
 
6.0%
290 11
 
5.5%
184 11
 
5.5%
280 11
 
5.5%
287 11
 
5.5%
183 9
 
4.5%
270 8
 
4.0%
Other values (36) 78
39.2%
ValueCountFrequency (%)
146 2
 
1.0%
167 2
 
1.0%
182 12
6.0%
183 9
4.5%
184 11
5.5%
186 12
6.0%
191 2
 
1.0%
192 1
 
0.5%
193 15
7.5%
194 2
 
1.0%
ValueCountFrequency (%)
1377 2
 
1.0%
1334 2
 
1.0%
881 2
 
1.0%
856 2
 
1.0%
852 3
1.5%
837 1
 
0.5%
832 4
2.0%
824 6
3.0%
810 1
 
0.5%
692 2
 
1.0%

127.4
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean601.94975
Minimum62
Maximum1160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:31.492218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62
5-th percentile122
Q1396
median593
Q3893
95-th percentile922
Maximum1160
Range1098
Interquartile range (IQR)497

Descriptive statistics

Standard deviation289.76585
Coefficient of variation (CV)0.48137881
Kurtosis-0.90797511
Mean601.94975
Median Absolute Deviation (MAD)275
Skewness-0.41976393
Sum119788
Variance83964.25
MonotonicityNot monotonic
2023-12-10T15:38:31.712893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
580 12
 
6.0%
922 11
 
5.5%
915 11
 
5.5%
917 11
 
5.5%
615 11
 
5.5%
893 11
 
5.5%
593 10
 
5.0%
918 10
 
5.0%
582 9
 
4.5%
586 9
 
4.5%
Other values (36) 94
47.2%
ValueCountFrequency (%)
62 1
 
0.5%
64 2
 
1.0%
120 1
 
0.5%
121 3
1.5%
122 6
3.0%
123 5
2.5%
124 6
3.0%
126 5
2.5%
127 2
 
1.0%
131 2
 
1.0%
ValueCountFrequency (%)
1160 3
 
1.5%
922 11
5.5%
918 10
5.0%
917 11
5.5%
915 11
5.5%
893 11
5.5%
861 8
4.0%
828 4
 
2.0%
812 3
 
1.5%
694 1
 
0.5%

6.3
Real number (ℝ)

Distinct6
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.567839
Minimum6
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:31.900171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6
Q16
median6
Q36
95-th percentile30
Maximum424
Range418
Interquartile range (IQR)0

Descriptive statistics

Standard deviation82.091992
Coefficient of variation (CV)3.3414413
Kurtosis20.299098
Mean24.567839
Median Absolute Deviation (MAD)0
Skewness4.6918288
Sum4889
Variance6739.0951
MonotonicityNot monotonic
2023-12-10T15:38:32.123262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
6 158
79.4%
12 19
 
9.5%
424 8
 
4.0%
17 6
 
3.0%
30 5
 
2.5%
23 3
 
1.5%
ValueCountFrequency (%)
6 158
79.4%
12 19
 
9.5%
17 6
 
3.0%
23 3
 
1.5%
30 5
 
2.5%
424 8
 
4.0%
ValueCountFrequency (%)
424 8
 
4.0%
30 5
 
2.5%
23 3
 
1.5%
17 6
 
3.0%
12 19
 
9.5%
6 158
79.4%

889
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.47236
Minimum0
Maximum889
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:32.309852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile67.9
Q1326
median346
Q3514
95-th percentile851
Maximum889
Range889
Interquartile range (IQR)188

Descriptive statistics

Standard deviation184.5644
Coefficient of variation (CV)0.47146215
Kurtosis0.92431882
Mean391.47236
Median Absolute Deviation (MAD)138
Skewness0.33653533
Sum77903
Variance34064.018
MonotonicityNot monotonic
2023-12-10T15:38:32.528763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
516 21
 
10.6%
346 15
 
7.5%
326 12
 
6.0%
518 11
 
5.5%
514 11
 
5.5%
502 11
 
5.5%
333 10
 
5.0%
329 9
 
4.5%
327 9
 
4.5%
484 8
 
4.0%
Other values (31) 82
41.2%
ValueCountFrequency (%)
0 3
1.5%
67 7
3.5%
68 5
2.5%
70 5
2.5%
73 2
 
1.0%
109 1
 
0.5%
114 1
 
0.5%
146 1
 
0.5%
255 3
1.5%
262 2
 
1.0%
ValueCountFrequency (%)
889 2
 
1.0%
866 6
 
3.0%
851 3
 
1.5%
652 3
 
1.5%
518 11
5.5%
516 21
10.6%
514 11
5.5%
502 11
5.5%
484 8
 
4.0%
466 4
 
2.0%

125
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean416.13065
Minimum107
Maximum742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:32.791946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107
5-th percentile121
Q1315
median390
Q3571
95-th percentile590
Maximum742
Range635
Interquartile range (IQR)256

Descriptive statistics

Standard deviation146.56278
Coefficient of variation (CV)0.35220377
Kurtosis-0.65732175
Mean416.13065
Median Absolute Deviation (MAD)140
Skewness-0.18810386
Sum82810
Variance21480.65
MonotonicityNot monotonic
2023-12-10T15:38:33.074479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
587 21
 
10.6%
394 13
 
6.5%
371 12
 
6.0%
571 11
 
5.5%
590 11
 
5.5%
375 11
 
5.5%
585 11
 
5.5%
379 10
 
5.0%
373 9
 
4.5%
551 8
 
4.0%
Other values (36) 82
41.2%
ValueCountFrequency (%)
107 1
 
0.5%
112 1
 
0.5%
119 3
1.5%
121 6
3.0%
125 2
 
1.0%
144 1
 
0.5%
187 1
 
0.5%
221 1
 
0.5%
226 1
 
0.5%
228 3
1.5%
ValueCountFrequency (%)
742 3
 
1.5%
590 11
5.5%
587 21
10.6%
585 11
5.5%
571 11
5.5%
551 8
 
4.0%
530 4
 
2.0%
519 3
 
1.5%
465 2
 
1.0%
450 2
 
1.0%

195
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.53769
Minimum99
Maximum433
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:33.380780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile128
Q1132
median191
Q3204
95-th percentile253
Maximum433
Range334
Interquartile range (IQR)72

Descriptive statistics

Standard deviation55.076873
Coefficient of variation (CV)0.29845867
Kurtosis5.4410787
Mean184.53769
Median Absolute Deviation (MAD)46
Skewness1.5783493
Sum36723
Variance3033.462
MonotonicityNot monotonic
2023-12-10T15:38:33.695582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
203 21
 
10.6%
136 15
 
7.5%
128 12
 
6.0%
131 12
 
6.0%
130 11
 
5.5%
204 11
 
5.5%
202 11
 
5.5%
198 11
 
5.5%
129 9
 
4.5%
191 8
 
4.0%
Other values (31) 78
39.2%
ValueCountFrequency (%)
99 1
 
0.5%
103 2
 
1.0%
104 1
 
0.5%
118 2
 
1.0%
128 12
6.0%
129 9
4.5%
130 11
5.5%
131 12
6.0%
133 1
 
0.5%
134 1
 
0.5%
ValueCountFrequency (%)
433 2
 
1.0%
420 2
 
1.0%
260 2
 
1.0%
257 3
1.5%
253 2
 
1.0%
251 3
1.5%
246 5
2.5%
244 6
3.0%
239 1
 
0.5%
237 2
 
1.0%

585
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.21106
Minimum144
Maximum1416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:33.937722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile179
Q1188
median281
Q3560
95-th percentile877
Maximum1416
Range1272
Interquartile range (IQR)372

Descriptive statistics

Standard deviation271.31376
Coefficient of variation (CV)0.71926249
Kurtosis2.4692901
Mean377.21106
Median Absolute Deviation (MAD)98
Skewness1.6835942
Sum75065
Variance73611.157
MonotonicityNot monotonic
2023-12-10T15:38:34.259713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
282 21
 
10.6%
179 21
 
10.6%
189 13
 
6.5%
284 11
 
5.5%
281 11
 
5.5%
275 11
 
5.5%
183 10
 
5.0%
180 9
 
4.5%
265 8
 
4.0%
847 6
 
3.0%
Other values (37) 78
39.2%
ValueCountFrequency (%)
144 2
 
1.0%
164 2
 
1.0%
179 21
10.6%
180 9
4.5%
181 2
 
1.0%
182 2
 
1.0%
183 10
5.0%
187 1
 
0.5%
188 2
 
1.0%
189 13
6.5%
ValueCountFrequency (%)
1416 2
 
1.0%
1371 2
 
1.0%
906 2
 
1.0%
880 2
 
1.0%
877 3
1.5%
860 1
 
0.5%
857 4
2.0%
847 6
3.0%
833 1
 
0.5%
763 2
 
1.0%

107.1
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean588.24121
Minimum66
Maximum1136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:34.575285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum66
5-th percentile104
Q1389
median581
Q3874
95-th percentile903
Maximum1136
Range1070
Interquartile range (IQR)485

Descriptive statistics

Standard deviation286.24908
Coefficient of variation (CV)0.48661855
Kurtosis-0.88610595
Mean588.24121
Median Absolute Deviation (MAD)268
Skewness-0.44029465
Sum117060
Variance81938.537
MonotonicityNot monotonic
2023-12-10T15:38:34.833825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
568 12
 
6.0%
896 11
 
5.5%
903 11
 
5.5%
898 11
 
5.5%
603 11
 
5.5%
874 11
 
5.5%
899 10
 
5.0%
581 10
 
5.0%
574 9
 
4.5%
571 9
 
4.5%
Other values (40) 94
47.2%
ValueCountFrequency (%)
66 1
 
0.5%
68 2
 
1.0%
102 3
1.5%
104 6
3.0%
107 2
 
1.0%
110 1
 
0.5%
111 6
3.0%
112 4
2.0%
113 1
 
0.5%
115 3
1.5%
ValueCountFrequency (%)
1136 3
 
1.5%
903 11
5.5%
899 10
5.0%
898 11
5.5%
896 11
5.5%
874 11
5.5%
844 8
4.0%
812 4
 
2.0%
795 3
 
1.5%
680 1
 
0.5%

763
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean381.23116
Minimum14
Maximum763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:35.095004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile83.9
Q1319
median339
Q3504
95-th percentile731
Maximum763
Range749
Interquartile range (IQR)185

Descriptive statistics

Standard deviation162.91746
Coefficient of variation (CV)0.4273456
Kurtosis0.17172091
Mean381.23116
Median Absolute Deviation (MAD)135
Skewness-0.048617763
Sum75865
Variance26542.098
MonotonicityNot monotonic
2023-12-10T15:38:35.336247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
505 21
 
10.6%
339 13
 
6.5%
319 12
 
6.0%
491 11
 
5.5%
508 11
 
5.5%
323 11
 
5.5%
504 11
 
5.5%
327 10
 
5.0%
321 9
 
4.5%
474 8
 
4.0%
Other values (34) 82
41.2%
ValueCountFrequency (%)
14 3
1.5%
82 1
 
0.5%
83 6
3.0%
84 4
2.0%
85 1
 
0.5%
87 5
2.5%
90 2
 
1.0%
107 1
 
0.5%
112 1
 
0.5%
144 1
 
0.5%
ValueCountFrequency (%)
763 2
 
1.0%
745 3
 
1.5%
743 3
 
1.5%
731 3
 
1.5%
639 3
 
1.5%
508 11
5.5%
505 21
10.6%
504 11
5.5%
491 11
5.5%
485 2
 
1.0%

101
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351.16583
Minimum3
Maximum706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:35.577935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile33.9
Q1127.5
median361
Q3543
95-th percentile561
Maximum706
Range703
Interquartile range (IQR)415.5

Descriptive statistics

Standard deviation193.96781
Coefficient of variation (CV)0.5523539
Kurtosis-1.0904533
Mean351.16583
Median Absolute Deviation (MAD)196
Skewness-0.43406684
Sum69882
Variance37623.513
MonotonicityNot monotonic
2023-12-10T15:38:35.790445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
558 21
 
10.6%
353 12
 
6.0%
357 11
 
5.5%
561 11
 
5.5%
374 11
 
5.5%
557 11
 
5.5%
543 11
 
5.5%
361 10
 
5.0%
354 9
 
4.5%
34 8
 
4.0%
Other values (30) 84
42.2%
ValueCountFrequency (%)
3 3
 
1.5%
33 7
3.5%
34 8
4.0%
35 4
2.0%
73 1
 
0.5%
76 3
 
1.5%
79 4
2.0%
80 4
2.0%
81 2
 
1.0%
87 1
 
0.5%
ValueCountFrequency (%)
706 3
 
1.5%
561 11
5.5%
558 21
10.6%
557 11
5.5%
543 11
5.5%
524 8
 
4.0%
504 4
 
2.0%
494 3
 
1.5%
422 1
 
0.5%
398 4
 
2.0%

169
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.40704
Minimum3
Maximum244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:36.003273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile25
Q1122
median130
Q3188
95-th percentile194
Maximum244
Range241
Interquartile range (IQR)66

Descriptive statistics

Standard deviation55.5033
Coefficient of variation (CV)0.40989968
Kurtosis-0.27013141
Mean135.40704
Median Absolute Deviation (MAD)51
Skewness-0.65458869
Sum26946
Variance3080.6163
MonotonicityNot monotonic
2023-12-10T15:38:36.193165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
193 32
16.1%
123 18
 
9.0%
130 15
 
7.5%
25 12
 
6.0%
122 12
 
6.0%
188 11
 
5.5%
194 11
 
5.5%
125 10
 
5.0%
181 8
 
4.0%
68 7
 
3.5%
Other values (23) 63
31.7%
ValueCountFrequency (%)
3 3
 
1.5%
25 12
6.0%
26 7
3.5%
66 3
 
1.5%
68 7
3.5%
69 2
 
1.0%
70 2
 
1.0%
80 1
 
0.5%
84 1
 
0.5%
98 2
 
1.0%
ValueCountFrequency (%)
244 3
 
1.5%
194 11
 
5.5%
193 32
16.1%
188 11
 
5.5%
181 8
 
4.0%
174 4
 
2.0%
171 3
 
1.5%
169 2
 
1.0%
165 6
 
3.0%
162 3
 
1.5%

404
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.96482
Minimum8
Maximum404
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:36.397732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile85.9
Q1172
median220
Q3268
95-th percentile388
Maximum404
Range396
Interquartile range (IQR)96

Descriptive statistics

Standard deviation78.726055
Coefficient of variation (CV)0.3628517
Kurtosis0.37893142
Mean216.96482
Median Absolute Deviation (MAD)48
Skewness0.11705225
Sum43176
Variance6197.7917
MonotonicityNot monotonic
2023-12-10T15:38:36.634278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
268 22
 
11.1%
170 21
 
10.6%
180 15
 
7.5%
261 11
 
5.5%
270 11
 
5.5%
172 11
 
5.5%
269 10
 
5.0%
174 10
 
5.0%
252 8
 
4.0%
85 6
 
3.0%
Other values (32) 74
37.2%
ValueCountFrequency (%)
8 1
 
0.5%
9 2
 
1.0%
84 1
 
0.5%
85 6
3.0%
86 4
2.0%
87 1
 
0.5%
88 5
2.5%
91 2
 
1.0%
137 2
 
1.0%
156 2
 
1.0%
ValueCountFrequency (%)
404 2
 
1.0%
395 3
 
1.5%
394 3
 
1.5%
388 3
 
1.5%
368 2
 
1.0%
355 2
 
1.0%
339 3
 
1.5%
292 1
 
0.5%
270 11
5.5%
269 10
5.0%

236
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548.19095
Minimum8
Maximum1081
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:38:36.886571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile47
Q1342
median553
Q3832
95-th percentile859
Maximum1081
Range1073
Interquartile range (IQR)490

Descriptive statistics

Standard deviation285.96458
Coefficient of variation (CV)0.5216514
Kurtosis-0.91975265
Mean548.19095
Median Absolute Deviation (MAD)279
Skewness-0.46137818
Sum109090
Variance81775.741
MonotonicityNot monotonic
2023-12-10T15:38:37.553257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
855 21
 
10.6%
574 13
 
6.5%
541 12
 
6.0%
853 11
 
5.5%
832 11
 
5.5%
47 11
 
5.5%
859 11
 
5.5%
553 10
 
5.0%
546 9
 
4.5%
543 9
 
4.5%
Other values (34) 81
40.7%
ValueCountFrequency (%)
8 1
 
0.5%
9 2
 
1.0%
45 1
 
0.5%
47 11
5.5%
48 5
2.5%
50 2
 
1.0%
131 3
 
1.5%
135 4
 
2.0%
136 4
 
2.0%
138 2
 
1.0%
ValueCountFrequency (%)
1081 3
 
1.5%
859 11
5.5%
855 21
10.6%
853 11
5.5%
832 11
5.5%
803 8
 
4.0%
772 4
 
2.0%
757 3
 
1.5%
647 1
 
0.5%
610 4
 
2.0%

Sample

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