Overview

Dataset statistics

Number of variables477
Number of observations199
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory834.4 KiB
Average record size in memory4.2 KiB

Variable types

Numeric477

Alerts

16485000 has unique valuesUnique
545267 has unique valuesUnique
9028 has unique valuesUnique
22 has 3 (1.5%) zerosZeros
21 has 3 (1.5%) zerosZeros
8 has 3 (1.5%) zerosZeros
38 has 3 (1.5%) zerosZeros
17 has 3 (1.5%) zerosZeros
1.1 has 3 (1.5%) zerosZeros
22.1 has 2 (1.0%) zerosZeros
23.1 has 2 (1.0%) zerosZeros
19 has 2 (1.0%) zerosZeros
7.3 has 3 (1.5%) zerosZeros
26.1 has 2 (1.0%) zerosZeros
33.3 has 3 (1.5%) zerosZeros
14.1 has 3 (1.5%) zerosZeros
1.2 has 2 (1.0%) zerosZeros
7.5 has 3 (1.5%) zerosZeros
36.1 has 2 (1.0%) zerosZeros
16.2 has 3 (1.5%) zerosZeros
17.3 has 3 (1.5%) zerosZeros
14.2 has 3 (1.5%) zerosZeros
5.7 has 3 (1.5%) zerosZeros
32 has 3 (1.5%) zerosZeros
27.3 has 3 (1.5%) zerosZeros
11.1 has 3 (1.5%) zerosZeros
4.8 has 2 (1.0%) zerosZeros
1.4 has 2 (1.0%) zerosZeros
3.14 has 2 (1.0%) zerosZeros
2.6 has 3 (1.5%) zerosZeros
2.7 has 2 (1.0%) zerosZeros
5.10 has 2 (1.0%) zerosZeros
2.8 has 2 (1.0%) zerosZeros
4.9 has 2 (1.0%) zerosZeros
9.2 has 2 (1.0%) zerosZeros
5.12 has 2 (1.0%) zerosZeros
1.5 has 2 (1.0%) zerosZeros
2.10 has 4 (2.0%) zerosZeros
4.12 has 4 (2.0%) zerosZeros
17.6 has 2 (1.0%) zerosZeros
17.7 has 2 (1.0%) zerosZeros
4.13 has 6 (3.0%) zerosZeros
3.19 has 6 (3.0%) zerosZeros
4.14 has 5 (2.5%) zerosZeros
4.15 has 6 (3.0%) zerosZeros
2.11 has 9 (4.5%) zerosZeros
3.20 has 6 (3.0%) zerosZeros
2.12 has 7 (3.5%) zerosZeros
6.6 has 8 (4.0%) zerosZeros
4.16 has 7 (3.5%) zerosZeros
2.13 has 11 (5.5%) zerosZeros
19.3 has 4 (2.0%) zerosZeros
31.1 has 2 (1.0%) zerosZeros
3.21 has 8 (4.0%) zerosZeros
4.17 has 8 (4.0%) zerosZeros
6.7 has 8 (4.0%) zerosZeros
4.18 has 8 (4.0%) zerosZeros
2.14 has 9 (4.5%) zerosZeros
5.15 has 8 (4.0%) zerosZeros
4.19 has 8 (4.0%) zerosZeros
10.6 has 8 (4.0%) zerosZeros
8.6 has 8 (4.0%) zerosZeros
4.20 has 9 (4.5%) zerosZeros
55 has 3 (1.5%) zerosZeros
87 has 2 (1.0%) zerosZeros
10.7 has 6 (3.0%) zerosZeros
12 has 6 (3.0%) zerosZeros
17.8 has 6 (3.0%) zerosZeros
11.4 has 6 (3.0%) zerosZeros
6.8 has 8 (4.0%) zerosZeros
16.5 has 6 (3.0%) zerosZeros
15.5 has 6 (3.0%) zerosZeros
28.5 has 6 (3.0%) zerosZeros
18.5 has 6 (3.0%) zerosZeros
9.6 has 7 (3.5%) zerosZeros
14.4 has 3 (1.5%) zerosZeros
24.4 has 2 (1.0%) zerosZeros
3.22 has 6 (3.0%) zerosZeros
3.23 has 6 (3.0%) zerosZeros
4.21 has 5 (2.5%) zerosZeros
3.24 has 6 (3.0%) zerosZeros
1.6 has 7 (3.5%) zerosZeros
5.16 has 6 (3.0%) zerosZeros
4.22 has 6 (3.0%) zerosZeros
8.7 has 5 (2.5%) zerosZeros
5.17 has 6 (3.0%) zerosZeros
3.25 has 6 (3.0%) zerosZeros
35.3 has 3 (1.5%) zerosZeros
58.3 has 2 (1.0%) zerosZeros
9.7 has 7 (3.5%) zerosZeros
7.8 has 6 (3.0%) zerosZeros
10.8 has 5 (2.5%) zerosZeros
7.9 has 5 (2.5%) zerosZeros
2.15 has 8 (4.0%) zerosZeros
13.3 has 4 (2.0%) zerosZeros
8.8 has 5 (2.5%) zerosZeros
19.4 has 5 (2.5%) zerosZeros
12.1 has 5 (2.5%) zerosZeros
6.9 has 7 (3.5%) zerosZeros
20.10 has 2 (1.0%) zerosZeros
26.4 has 2 (1.0%) zerosZeros
21.6 has 2 (1.0%) zerosZeros
8.10 has 3 (1.5%) zerosZeros
28.6 has 2 (1.0%) zerosZeros
40.1 has 2 (1.0%) zerosZeros
17.9 has 3 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-10 06:41:54.595033
Analysis finished2023-12-10 06:42:00.589504
Duration5.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

16485000
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15649256
Minimum26800
Maximum32534000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:00.711690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26800
5-th percentile1135358.8
Q16152109
median15281200
Q324380280
95-th percentile31076677
Maximum32534000
Range32507200
Interquartile range (IQR)18228170

Descriptive statistics

Standard deviation9924381.9
Coefficient of variation (CV)0.63417596
Kurtosis-1.3203345
Mean15649256
Median Absolute Deviation (MAD)9123436
Skewness0.04398426
Sum3.1142019 × 109
Variance9.8493356 × 1013
MonotonicityNot monotonic
2023-12-10T15:42:00.930662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22440554 1
 
0.5%
24355923 1
 
0.5%
28090111 1
 
0.5%
19881860 1
 
0.5%
24199508 1
 
0.5%
6239593 1
 
0.5%
7136805 1
 
0.5%
5885163 1
 
0.5%
31646046 1
 
0.5%
4807285 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
26800 1
0.5%
113417 1
0.5%
290452 1
0.5%
513209 1
0.5%
558925 1
0.5%
647440 1
0.5%
920038 1
0.5%
1006799 1
0.5%
1050065 1
0.5%
1094272 1
0.5%
ValueCountFrequency (%)
32534000 1
0.5%
32352301 1
0.5%
32245468 1
0.5%
31916391 1
0.5%
31910659 1
0.5%
31646046 1
0.5%
31487533 1
0.5%
31361023 1
0.5%
31222356 1
0.5%
31193917 1
0.5%

317274
Real number (ℝ)

Distinct198
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310340.86
Minimum294106
Maximum322119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:01.162223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum294106
5-th percentile295324.7
Q1298912
median314461
Q3316243
95-th percentile320650.2
Maximum322119
Range28013
Interquartile range (IQR)17331

Descriptive statistics

Standard deviation8901.4121
Coefficient of variation (CV)0.028682694
Kurtosis-1.1033945
Mean310340.86
Median Absolute Deviation (MAD)2153
Skewness-0.75754383
Sum61757832
Variance79235137
MonotonicityNot monotonic
2023-12-10T15:42:01.637668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
295328 2
 
1.0%
314842 1
 
0.5%
314665 1
 
0.5%
314953 1
 
0.5%
315400 1
 
0.5%
298818 1
 
0.5%
295545 1
 
0.5%
316614 1
 
0.5%
316040 1
 
0.5%
316133 1
 
0.5%
Other values (188) 188
94.5%
ValueCountFrequency (%)
294106 1
0.5%
294204 1
0.5%
294314 1
0.5%
294649 1
0.5%
294800 1
0.5%
294914 1
0.5%
294926 1
0.5%
294944 1
0.5%
295143 1
0.5%
295295 1
0.5%
ValueCountFrequency (%)
322119 1
0.5%
322031 1
0.5%
321388 1
0.5%
321305 1
0.5%
321299 1
0.5%
321237 1
0.5%
320994 1
0.5%
320964 1
0.5%
320924 1
0.5%
320859 1
0.5%

6
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.542714
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:01.849036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median9
Q317
95-th percentile33.2
Maximum56
Range55
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.278787
Coefficient of variation (CV)0.89050008
Kurtosis2.751042
Mean11.542714
Median Absolute Deviation (MAD)6
Skewness1.5032377
Sum2297
Variance105.65347
MonotonicityNot monotonic
2023-12-10T15:42:02.024644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
2 24
 
12.1%
1 16
 
8.0%
3 15
 
7.5%
6 12
 
6.0%
4 10
 
5.0%
17 9
 
4.5%
12 9
 
4.5%
14 8
 
4.0%
11 7
 
3.5%
9 7
 
3.5%
Other values (24) 82
41.2%
ValueCountFrequency (%)
1 16
8.0%
2 24
12.1%
3 15
7.5%
4 10
5.0%
5 6
 
3.0%
6 12
6.0%
7 6
 
3.0%
8 5
 
2.5%
9 7
 
3.5%
10 6
 
3.0%
ValueCountFrequency (%)
56 1
 
0.5%
49 1
 
0.5%
48 1
 
0.5%
41 2
1.0%
37 1
 
0.5%
35 4
2.0%
33 1
 
0.5%
32 3
1.5%
26 3
1.5%
25 1
 
0.5%

16
Real number (ℝ)

Distinct129
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.8191
Minimum5
Maximum379
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:02.235130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile37
Q164
median100
Q3140
95-th percentile286
Maximum379
Range374
Interquartile range (IQR)76

Descriptive statistics

Standard deviation74.241535
Coefficient of variation (CV)0.6410129
Kurtosis2.5462806
Mean115.8191
Median Absolute Deviation (MAD)37
Skewness1.5216733
Sum23048
Variance5511.8055
MonotonicityNot monotonic
2023-12-10T15:42:02.493991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
91 4
 
2.0%
57 4
 
2.0%
100 4
 
2.0%
130 4
 
2.0%
114 3
 
1.5%
89 3
 
1.5%
88 3
 
1.5%
39 3
 
1.5%
170 3
 
1.5%
120 3
 
1.5%
Other values (119) 165
82.9%
ValueCountFrequency (%)
5 1
 
0.5%
9 1
 
0.5%
10 2
1.0%
28 1
 
0.5%
31 1
 
0.5%
35 1
 
0.5%
36 1
 
0.5%
37 3
1.5%
38 1
 
0.5%
39 3
1.5%
ValueCountFrequency (%)
379 1
0.5%
373 2
1.0%
356 1
0.5%
344 1
0.5%
340 1
0.5%
328 1
0.5%
316 1
0.5%
302 1
0.5%
286 2
1.0%
251 1
0.5%

30
Real number (ℝ)

Distinct139
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean140.68844
Minimum6
Maximum720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:02.752945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile43
Q172.5
median111
Q3180.5
95-th percentile331.7
Maximum720
Range714
Interquartile range (IQR)108

Descriptive statistics

Standard deviation104.25723
Coefficient of variation (CV)0.7410504
Kurtosis7.9653581
Mean140.68844
Median Absolute Deviation (MAD)45
Skewness2.3272103
Sum27997
Variance10869.569
MonotonicityNot monotonic
2023-12-10T15:42:03.010946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98 5
 
2.5%
56 4
 
2.0%
63 3
 
1.5%
232 3
 
1.5%
61 3
 
1.5%
62 3
 
1.5%
68 3
 
1.5%
74 3
 
1.5%
51 2
 
1.0%
101 2
 
1.0%
Other values (129) 168
84.4%
ValueCountFrequency (%)
6 1
0.5%
13 2
1.0%
19 1
0.5%
30 1
0.5%
37 1
0.5%
38 1
0.5%
39 2
1.0%
43 2
1.0%
44 1
0.5%
45 1
0.5%
ValueCountFrequency (%)
720 1
0.5%
651 1
0.5%
553 1
0.5%
437 1
0.5%
429 1
0.5%
401 1
0.5%
382 1
0.5%
365 1
0.5%
363 1
0.5%
347 1
0.5%

3
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.81407
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:03.241701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median18
Q329
95-th percentile57.2
Maximum131
Range130
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.160358
Coefficient of variation (CV)0.79601568
Kurtosis9.5887714
Mean22.81407
Median Absolute Deviation (MAD)8
Skewness2.5243825
Sum4540
Variance329.79859
MonotonicityNot monotonic
2023-12-10T15:42:03.481070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 10
 
5.0%
10 9
 
4.5%
8 9
 
4.5%
18 8
 
4.0%
15 8
 
4.0%
16 8
 
4.0%
14 8
 
4.0%
13 8
 
4.0%
17 7
 
3.5%
12 7
 
3.5%
Other values (44) 117
58.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%
5 3
 
1.5%
6 6
3.0%
7 6
3.0%
8 9
4.5%
9 10
5.0%
10 9
4.5%
11 4
 
2.0%
ValueCountFrequency (%)
131 1
0.5%
114 1
0.5%
92 1
0.5%
78 1
0.5%
66 1
0.5%
65 1
0.5%
63 2
1.0%
61 1
0.5%
59 1
0.5%
57 1
0.5%

3.1
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.246231
Minimum1
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:03.729250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median19
Q327.5
95-th percentile55.5
Maximum104
Range103
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation17.062117
Coefficient of variation (CV)0.73397347
Kurtosis4.7582201
Mean23.246231
Median Absolute Deviation (MAD)7
Skewness1.9953561
Sum4626
Variance291.11583
MonotonicityNot monotonic
2023-12-10T15:42:03.945670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 16
 
8.0%
12 11
 
5.5%
24 10
 
5.0%
13 9
 
4.5%
20 8
 
4.0%
15 8
 
4.0%
16 8
 
4.0%
11 8
 
4.0%
17 7
 
3.5%
22 6
 
3.0%
Other values (43) 108
54.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 3
 
1.5%
6 3
 
1.5%
7 4
 
2.0%
8 4
 
2.0%
9 16
8.0%
10 5
 
2.5%
11 8
4.0%
12 11
5.5%
13 9
4.5%
ValueCountFrequency (%)
104 1
0.5%
88 1
0.5%
84 1
0.5%
82 1
0.5%
77 1
0.5%
73 2
1.0%
72 1
0.5%
67 1
0.5%
60 1
0.5%
55 1
0.5%

5
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.919598
Minimum1
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:04.148207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q114
median21
Q334
95-th percentile70
Maximum117
Range116
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.357706
Coefficient of variation (CV)0.71909342
Kurtosis4.3261209
Mean26.919598
Median Absolute Deviation (MAD)9
Skewness1.8594284
Sum5357
Variance374.72078
MonotonicityNot monotonic
2023-12-10T15:42:04.382412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 9
 
4.5%
16 9
 
4.5%
10 9
 
4.5%
14 8
 
4.0%
17 8
 
4.0%
24 8
 
4.0%
13 8
 
4.0%
11 7
 
3.5%
12 7
 
3.5%
25 7
 
3.5%
Other values (51) 119
59.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
6 2
 
1.0%
7 2
 
1.0%
8 2
 
1.0%
9 6
3.0%
10 9
4.5%
11 7
3.5%
12 7
3.5%
ValueCountFrequency (%)
117 1
0.5%
108 1
0.5%
102 1
0.5%
78 1
0.5%
76 2
1.0%
74 1
0.5%
73 1
0.5%
72 1
0.5%
70 2
1.0%
67 1
0.5%

3.2
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.075377
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:04.632471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median18
Q325
95-th percentile46
Maximum133
Range132
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.531309
Coefficient of variation (CV)0.73694099
Kurtosis14.562957
Mean21.075377
Median Absolute Deviation (MAD)7
Skewness2.8710605
Sum4194
Variance241.22156
MonotonicityNot monotonic
2023-12-10T15:42:04.908931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 13
 
6.5%
20 13
 
6.5%
7 12
 
6.0%
11 11
 
5.5%
13 9
 
4.5%
17 9
 
4.5%
21 8
 
4.0%
14 8
 
4.0%
9 7
 
3.5%
24 6
 
3.0%
Other values (40) 103
51.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 2
 
1.0%
4 2
 
1.0%
5 1
 
0.5%
6 5
2.5%
7 12
6.0%
8 5
2.5%
9 7
3.5%
10 5
2.5%
11 11
5.5%
ValueCountFrequency (%)
133 1
 
0.5%
85 1
 
0.5%
67 1
 
0.5%
65 1
 
0.5%
64 1
 
0.5%
59 2
1.0%
55 1
 
0.5%
51 1
 
0.5%
46 3
1.5%
44 2
1.0%

1
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.160804
Minimum0
Maximum96
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:05.160549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q19.5
median18
Q327.5
95-th percentile52.1
Maximum96
Range96
Interquartile range (IQR)18

Descriptive statistics

Standard deviation15.792988
Coefficient of variation (CV)0.74633211
Kurtosis3.9804956
Mean21.160804
Median Absolute Deviation (MAD)9
Skewness1.6474526
Sum4211
Variance249.41846
MonotonicityNot monotonic
2023-12-10T15:42:05.403730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 11
 
5.5%
16 10
 
5.0%
17 9
 
4.5%
6 9
 
4.5%
7 8
 
4.0%
18 8
 
4.0%
8 7
 
3.5%
22 7
 
3.5%
12 6
 
3.0%
5 6
 
3.0%
Other values (47) 118
59.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 2
 
1.0%
3 4
2.0%
4 5
2.5%
5 6
3.0%
6 9
4.5%
7 8
4.0%
8 7
3.5%
9 5
2.5%
ValueCountFrequency (%)
96 1
0.5%
83 1
0.5%
81 1
0.5%
69 1
0.5%
65 1
0.5%
60 1
0.5%
57 1
0.5%
56 1
0.5%
55 1
0.5%
53 1
0.5%

4
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.030151
Minimum2
Maximum327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:05.642458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.9
Q113
median21
Q336
95-th percentile88.5
Maximum327
Range325
Interquartile range (IQR)23

Descriptive statistics

Standard deviation34.213812
Coefficient of variation (CV)1.102599
Kurtosis30.584697
Mean31.030151
Median Absolute Deviation (MAD)10
Skewness4.4664618
Sum6175
Variance1170.5849
MonotonicityNot monotonic
2023-12-10T15:42:05.879516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
13 11
 
5.5%
16 8
 
4.0%
21 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
22 7
 
3.5%
11 6
 
3.0%
20 6
 
3.0%
8 6
 
3.0%
Other values (57) 119
59.8%
ValueCountFrequency (%)
2 2
 
1.0%
3 1
 
0.5%
5 1
 
0.5%
6 4
 
2.0%
7 2
 
1.0%
8 6
3.0%
9 14
7.0%
10 4
 
2.0%
11 6
3.0%
12 6
3.0%
ValueCountFrequency (%)
327 1
0.5%
195 1
0.5%
149 1
0.5%
112 1
0.5%
111 2
1.0%
100 1
0.5%
97 1
0.5%
94 1
0.5%
93 1
0.5%
88 1
0.5%

5.1
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.919598
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:06.116033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median20
Q334
95-th percentile69.1
Maximum128
Range127
Interquartile range (IQR)22

Descriptive statistics

Standard deviation21.47758
Coefficient of variation (CV)0.79784177
Kurtosis5.4512227
Mean26.919598
Median Absolute Deviation (MAD)9
Skewness2.0623901
Sum5357
Variance461.28643
MonotonicityNot monotonic
2023-12-10T15:42:06.346983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 13
 
6.5%
19 9
 
4.5%
18 8
 
4.0%
16 7
 
3.5%
11 7
 
3.5%
14 7
 
3.5%
22 7
 
3.5%
20 6
 
3.0%
21 6
 
3.0%
8 6
 
3.0%
Other values (56) 123
61.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
5 2
 
1.0%
6 2
 
1.0%
7 5
2.5%
8 6
3.0%
9 6
3.0%
10 6
3.0%
11 7
3.5%
ValueCountFrequency (%)
128 1
0.5%
123 1
0.5%
120 1
0.5%
85 1
0.5%
84 1
0.5%
83 1
0.5%
78 2
1.0%
76 1
0.5%
70 1
0.5%
69 1
0.5%

11
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.115578
Minimum1
Maximum319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:06.632350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q114.5
median22
Q339.5
95-th percentile82.2
Maximum319
Range318
Interquartile range (IQR)25

Descriptive statistics

Standard deviation32.692039
Coefficient of variation (CV)1.0179496
Kurtosis31.623102
Mean32.115578
Median Absolute Deviation (MAD)11
Skewness4.4963366
Sum6391
Variance1068.7694
MonotonicityNot monotonic
2023-12-10T15:42:06.867571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 11
 
5.5%
11 9
 
4.5%
10 8
 
4.0%
18 8
 
4.0%
15 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
28 6
 
3.0%
9 6
 
3.0%
21 5
 
2.5%
Other values (60) 124
62.3%
ValueCountFrequency (%)
1 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
6 4
2.0%
7 1
 
0.5%
8 3
 
1.5%
9 6
3.0%
10 8
4.0%
11 9
4.5%
12 5
2.5%
ValueCountFrequency (%)
319 1
0.5%
162 1
0.5%
160 1
0.5%
133 1
0.5%
118 1
0.5%
112 1
0.5%
92 1
0.5%
91 1
0.5%
85 1
0.5%
84 1
0.5%

67
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.236181
Minimum2
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:07.100013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median13
Q324
95-th percentile54.1
Maximum101
Range99
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.208745
Coefficient of variation (CV)0.894603
Kurtosis5.7923551
Mean19.236181
Median Absolute Deviation (MAD)6
Skewness2.202315
Sum3828
Variance296.14091
MonotonicityNot monotonic
2023-12-10T15:42:07.337184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 15
 
7.5%
7 14
 
7.0%
5 12
 
6.0%
6 11
 
5.5%
11 11
 
5.5%
13 10
 
5.0%
12 10
 
5.0%
10 9
 
4.5%
15 8
 
4.0%
24 7
 
3.5%
Other values (40) 92
46.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 12
6.0%
6 11
5.5%
7 14
7.0%
8 15
7.5%
9 7
3.5%
10 9
4.5%
11 11
5.5%
ValueCountFrequency (%)
101 1
0.5%
94 1
0.5%
93 1
0.5%
71 2
1.0%
68 1
0.5%
67 1
0.5%
66 1
0.5%
58 1
0.5%
55 1
0.5%
54 1
0.5%

7
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.964824
Minimum1
Maximum202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:07.563573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112.5
median20
Q331.5
95-th percentile57.2
Maximum202
Range201
Interquartile range (IQR)19

Descriptive statistics

Standard deviation20.576877
Coefficient of variation (CV)0.82423479
Kurtosis28.54573
Mean24.964824
Median Absolute Deviation (MAD)9
Skewness4.0928053
Sum4968
Variance423.40785
MonotonicityNot monotonic
2023-12-10T15:42:07.819961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 11
 
5.5%
12 10
 
5.0%
21 9
 
4.5%
19 9
 
4.5%
13 9
 
4.5%
8 8
 
4.0%
10 8
 
4.0%
9 7
 
3.5%
20 7
 
3.5%
29 6
 
3.0%
Other values (48) 115
57.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
4 2
 
1.0%
6 3
 
1.5%
7 3
 
1.5%
8 8
4.0%
9 7
3.5%
10 8
4.0%
11 6
3.0%
12 10
5.0%
ValueCountFrequency (%)
202 1
0.5%
104 1
0.5%
97 1
0.5%
85 1
0.5%
71 1
0.5%
70 1
0.5%
68 1
0.5%
67 1
0.5%
60 1
0.5%
59 1
0.5%

3.3
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.271357
Minimum1
Maximum118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:08.057611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q113
median23
Q334
95-th percentile61.1
Maximum118
Range117
Interquartile range (IQR)21

Descriptive statistics

Standard deviation18.638147
Coefficient of variation (CV)0.70944746
Kurtosis4.1224483
Mean26.271357
Median Absolute Deviation (MAD)10
Skewness1.5997766
Sum5228
Variance347.38054
MonotonicityNot monotonic
2023-12-10T15:42:08.661640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 8
 
4.0%
6 7
 
3.5%
27 6
 
3.0%
31 6
 
3.0%
44 6
 
3.0%
26 6
 
3.0%
8 6
 
3.0%
38 5
 
2.5%
23 5
 
2.5%
20 5
 
2.5%
Other values (53) 139
69.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
1.5%
3 4
2.0%
4 3
1.5%
5 2
 
1.0%
6 7
3.5%
7 5
2.5%
8 6
3.0%
9 3
1.5%
10 5
2.5%
ValueCountFrequency (%)
118 1
0.5%
98 1
0.5%
91 1
0.5%
85 1
0.5%
80 1
0.5%
75 1
0.5%
68 1
0.5%
67 1
0.5%
63 1
0.5%
62 1
0.5%

110
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.427136
Minimum0
Maximum465
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:08.900866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.9
Q144
median68
Q3110.5
95-th percentile220.8
Maximum465
Range465
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation68.488172
Coefficient of variation (CV)0.76585448
Kurtosis6.81928
Mean89.427136
Median Absolute Deviation (MAD)31
Skewness2.2065147
Sum17796
Variance4690.6298
MonotonicityNot monotonic
2023-12-10T15:42:09.111239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 5
 
2.5%
52 5
 
2.5%
54 5
 
2.5%
49 4
 
2.0%
41 4
 
2.0%
62 4
 
2.0%
43 4
 
2.0%
76 4
 
2.0%
74 3
 
1.5%
42 3
 
1.5%
Other values (104) 158
79.4%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
1.0%
18 1
 
0.5%
20 1
 
0.5%
21 3
1.5%
25 2
1.0%
26 1
 
0.5%
27 1
 
0.5%
28 2
1.0%
29 1
 
0.5%
ValueCountFrequency (%)
465 1
0.5%
373 1
0.5%
371 1
0.5%
295 1
0.5%
294 1
0.5%
259 1
0.5%
256 1
0.5%
248 1
0.5%
242 1
0.5%
228 1
0.5%

180
Real number (ℝ)

Distinct123
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108.35176
Minimum0
Maximum587
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:09.321254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.8
Q151
median75
Q3132
95-th percentile280.2
Maximum587
Range587
Interquartile range (IQR)81

Descriptive statistics

Standard deviation98.812479
Coefficient of variation (CV)0.91196008
Kurtosis8.7242854
Mean108.35176
Median Absolute Deviation (MAD)33
Skewness2.6561044
Sum21562
Variance9763.9059
MonotonicityNot monotonic
2023-12-10T15:42:09.571680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 7
 
3.5%
65 6
 
3.0%
85 4
 
2.0%
55 4
 
2.0%
80 4
 
2.0%
40 4
 
2.0%
51 3
 
1.5%
64 3
 
1.5%
69 3
 
1.5%
49 3
 
1.5%
Other values (113) 158
79.4%
ValueCountFrequency (%)
0 1
0.5%
3 2
1.0%
22 2
1.0%
23 2
1.0%
25 1
0.5%
26 1
0.5%
27 1
0.5%
29 1
0.5%
30 2
1.0%
31 2
1.0%
ValueCountFrequency (%)
587 2
1.0%
582 1
0.5%
478 1
0.5%
456 1
0.5%
426 1
0.5%
392 1
0.5%
300 1
0.5%
292 1
0.5%
291 1
0.5%
279 1
0.5%

22
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.824121
Minimum0
Maximum128
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:09.773639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median12
Q326
95-th percentile63.3
Maximum128
Range128
Interquartile range (IQR)18

Descriptive statistics

Standard deviation21.035665
Coefficient of variation (CV)1.0101586
Kurtosis7.5103702
Mean20.824121
Median Absolute Deviation (MAD)6
Skewness2.4441413
Sum4144
Variance442.49921
MonotonicityNot monotonic
2023-12-10T15:42:10.044945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
8 13
 
6.5%
9 13
 
6.5%
5 13
 
6.5%
10 11
 
5.5%
7 11
 
5.5%
6 9
 
4.5%
17 8
 
4.0%
12 8
 
4.0%
13 7
 
3.5%
Other values (47) 92
46.2%
ValueCountFrequency (%)
0 3
 
1.5%
3 3
 
1.5%
4 3
 
1.5%
5 13
6.5%
6 9
4.5%
7 11
5.5%
8 13
6.5%
9 13
6.5%
10 11
5.5%
11 14
7.0%
ValueCountFrequency (%)
128 1
0.5%
120 1
0.5%
118 1
0.5%
86 1
0.5%
81 1
0.5%
74 1
0.5%
70 1
0.5%
69 1
0.5%
67 1
0.5%
66 1
0.5%

25
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.969849
Minimum0
Maximum113
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:10.245821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18.5
median13
Q324
95-th percentile52.3
Maximum113
Range113
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation16.718981
Coefficient of variation (CV)0.88134498
Kurtosis8.3800104
Mean18.969849
Median Absolute Deviation (MAD)7
Skewness2.4786919
Sum3775
Variance279.52434
MonotonicityNot monotonic
2023-12-10T15:42:10.468400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
5 13
 
6.5%
8 11
 
5.5%
12 11
 
5.5%
6 10
 
5.0%
9 10
 
5.0%
10 10
 
5.0%
7 10
 
5.0%
14 8
 
4.0%
15 7
 
3.5%
Other values (42) 95
47.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
3 2
 
1.0%
4 1
 
0.5%
5 13
6.5%
6 10
5.0%
7 10
5.0%
8 11
5.5%
9 10
5.0%
10 10
5.0%
ValueCountFrequency (%)
113 1
0.5%
95 1
0.5%
93 1
0.5%
69 1
0.5%
63 1
0.5%
62 1
0.5%
61 1
0.5%
60 1
0.5%
57 1
0.5%
55 1
0.5%

35
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.859296
Minimum0
Maximum124
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:10.662841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median14
Q326.5
95-th percentile56.5
Maximum124
Range124
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation18.802275
Coefficient of variation (CV)0.90138588
Kurtosis8.355588
Mean20.859296
Median Absolute Deviation (MAD)7
Skewness2.5229833
Sum4151
Variance353.52556
MonotonicityNot monotonic
2023-12-10T15:42:10.889523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
6 12
 
6.0%
9 11
 
5.5%
8 11
 
5.5%
12 11
 
5.5%
11 9
 
4.5%
14 8
 
4.0%
13 7
 
3.5%
15 7
 
3.5%
7 6
 
3.0%
Other values (45) 103
51.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
4 4
 
2.0%
5 5
 
2.5%
6 12
6.0%
7 6
3.0%
8 11
5.5%
9 11
5.5%
10 14
7.0%
11 9
4.5%
ValueCountFrequency (%)
124 1
0.5%
106 1
0.5%
105 1
0.5%
84 1
0.5%
75 1
0.5%
71 1
0.5%
69 2
1.0%
66 1
0.5%
61 1
0.5%
56 2
1.0%

21
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.432161
Minimum0
Maximum120
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:11.100354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q18
median12
Q319
95-th percentile36.1
Maximum120
Range120
Interquartile range (IQR)11

Descriptive statistics

Standard deviation13.252565
Coefficient of variation (CV)0.85876275
Kurtosis22.211544
Mean15.432161
Median Absolute Deviation (MAD)5
Skewness3.7290429
Sum3071
Variance175.63048
MonotonicityNot monotonic
2023-12-10T15:42:11.303746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
12 18
 
9.0%
6 17
 
8.5%
7 13
 
6.5%
8 13
 
6.5%
9 11
 
5.5%
10 11
 
5.5%
14 10
 
5.0%
19 9
 
4.5%
5 8
 
4.0%
20 7
 
3.5%
Other values (33) 82
41.2%
ValueCountFrequency (%)
0 3
 
1.5%
3 3
 
1.5%
4 4
 
2.0%
5 8
4.0%
6 17
8.5%
7 13
6.5%
8 13
6.5%
9 11
5.5%
10 11
5.5%
11 7
3.5%
ValueCountFrequency (%)
120 1
0.5%
80 1
0.5%
62 1
0.5%
58 1
0.5%
45 2
1.0%
44 1
0.5%
40 1
0.5%
38 1
0.5%
37 1
0.5%
36 1
0.5%

8
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.065327
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:11.487592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q317
95-th percentile31
Maximum56
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.2856332
Coefficient of variation (CV)0.71070808
Kurtosis3.5697008
Mean13.065327
Median Absolute Deviation (MAD)5
Skewness1.5497563
Sum2600
Variance86.222984
MonotonicityNot monotonic
2023-12-10T15:42:11.687294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 16
 
8.0%
15 16
 
8.0%
9 12
 
6.0%
11 12
 
6.0%
12 11
 
5.5%
5 10
 
5.0%
3 10
 
5.0%
10 9
 
4.5%
18 9
 
4.5%
16 8
 
4.0%
Other values (30) 86
43.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 1
 
0.5%
2 8
4.0%
3 10
5.0%
4 8
4.0%
5 10
5.0%
6 7
3.5%
7 16
8.0%
8 6
 
3.0%
9 12
6.0%
ValueCountFrequency (%)
56 1
0.5%
49 1
0.5%
48 1
0.5%
41 1
0.5%
38 1
0.5%
35 1
0.5%
33 2
1.0%
32 1
0.5%
31 2
1.0%
30 2
1.0%

42
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.492462
Minimum0
Maximum347
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:11.881038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median15
Q339.5
95-th percentile115.1
Maximum347
Range347
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation43.803034
Coefficient of variation (CV)1.3480983
Kurtosis17.092797
Mean32.492462
Median Absolute Deviation (MAD)8
Skewness3.4885834
Sum6466
Variance1918.7058
MonotonicityNot monotonic
2023-12-10T15:42:12.093128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
6.5%
8 13
 
6.5%
10 11
 
5.5%
12 10
 
5.0%
7 9
 
4.5%
13 8
 
4.0%
17 8
 
4.0%
11 8
 
4.0%
9 7
 
3.5%
14 5
 
2.5%
Other values (61) 107
53.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
3 2
 
1.0%
4 3
 
1.5%
5 13
6.5%
6 4
 
2.0%
7 9
4.5%
8 13
6.5%
9 7
3.5%
10 11
5.5%
ValueCountFrequency (%)
347 1
0.5%
258 1
0.5%
178 1
0.5%
171 1
0.5%
158 1
0.5%
157 1
0.5%
136 2
1.0%
121 1
0.5%
116 1
0.5%
115 1
0.5%

27
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.532663
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:12.326635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median11
Q316
95-th percentile36.1
Maximum72
Range71
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.78428
Coefficient of variation (CV)0.79690744
Kurtosis5.6438022
Mean13.532663
Median Absolute Deviation (MAD)5
Skewness2.0693907
Sum2693
Variance116.3007
MonotonicityNot monotonic
2023-12-10T15:42:12.547393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
7 18
 
9.0%
4 15
 
7.5%
11 14
 
7.0%
12 13
 
6.5%
6 12
 
6.0%
5 11
 
5.5%
10 11
 
5.5%
8 10
 
5.0%
14 9
 
4.5%
9 8
 
4.0%
Other values (31) 78
39.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 6
 
3.0%
4 15
7.5%
5 11
5.5%
6 12
6.0%
7 18
9.0%
8 10
5.0%
9 8
4.0%
10 11
5.5%
ValueCountFrequency (%)
72 1
0.5%
53 1
0.5%
50 2
1.0%
43 1
0.5%
42 1
0.5%
40 1
0.5%
39 1
0.5%
38 1
0.5%
37 1
0.5%
36 1
0.5%

27.1
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.663317
Minimum0
Maximum130
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:12.798511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q19
median14
Q325
95-th percentile53.1
Maximum130
Range130
Interquartile range (IQR)16

Descriptive statistics

Standard deviation20.000056
Coefficient of variation (CV)0.96790153
Kurtosis8.2937791
Mean20.663317
Median Absolute Deviation (MAD)7
Skewness2.5473602
Sum4112
Variance400.00223
MonotonicityNot monotonic
2023-12-10T15:42:13.022468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 13
 
6.5%
7 13
 
6.5%
5 12
 
6.0%
12 11
 
5.5%
6 10
 
5.0%
9 10
 
5.0%
10 9
 
4.5%
14 8
 
4.0%
13 7
 
3.5%
21 7
 
3.5%
Other values (46) 99
49.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
3 3
 
1.5%
4 4
 
2.0%
5 12
6.0%
6 10
5.0%
7 13
6.5%
8 4
 
2.0%
9 10
5.0%
10 9
4.5%
ValueCountFrequency (%)
130 1
0.5%
110 1
0.5%
102 1
0.5%
95 1
0.5%
92 1
0.5%
85 1
0.5%
71 1
0.5%
61 1
0.5%
59 1
0.5%
54 1
0.5%

57
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.286432
Minimum0
Maximum299
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:13.228774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median15
Q326
95-th percentile63.1
Maximum299
Range299
Interquartile range (IQR)17

Descriptive statistics

Standard deviation29.494793
Coefficient of variation (CV)1.2666085
Kurtosis41.255773
Mean23.286432
Median Absolute Deviation (MAD)7
Skewness5.3296227
Sum4634
Variance869.94279
MonotonicityNot monotonic
2023-12-10T15:42:13.448879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
8 13
 
6.5%
16 11
 
5.5%
13 10
 
5.0%
5 10
 
5.0%
9 10
 
5.0%
6 9
 
4.5%
7 8
 
4.0%
12 7
 
3.5%
24 6
 
3.0%
Other values (47) 101
50.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
3 1
 
0.5%
4 2
 
1.0%
5 10
5.0%
6 9
4.5%
7 8
4.0%
8 13
6.5%
9 10
5.0%
10 14
7.0%
ValueCountFrequency (%)
299 1
0.5%
167 1
0.5%
113 1
0.5%
104 1
0.5%
101 1
0.5%
99 1
0.5%
95 1
0.5%
71 2
1.0%
64 1
0.5%
63 1
0.5%

38
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.904523
Minimum0
Maximum173
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:13.649161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median12
Q320
95-th percentile42
Maximum173
Range173
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.56807
Coefficient of variation (CV)0.98009688
Kurtosis40.39778
Mean16.904523
Median Absolute Deviation (MAD)5
Skewness5.0538349
Sum3364
Variance274.50094
MonotonicityNot monotonic
2023-12-10T15:42:13.832614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
7 17
 
8.5%
12 17
 
8.5%
11 15
 
7.5%
10 11
 
5.5%
9 10
 
5.0%
6 10
 
5.0%
8 9
 
4.5%
20 9
 
4.5%
14 9
 
4.5%
13 8
 
4.0%
Other values (34) 84
42.2%
ValueCountFrequency (%)
0 3
 
1.5%
4 4
 
2.0%
5 8
4.0%
6 10
5.0%
7 17
8.5%
8 9
4.5%
9 10
5.0%
10 11
5.5%
11 15
7.5%
12 17
8.5%
ValueCountFrequency (%)
173 1
0.5%
74 1
0.5%
72 1
0.5%
62 1
0.5%
58 1
0.5%
52 1
0.5%
50 1
0.5%
47 1
0.5%
46 1
0.5%
42 2
1.0%

17
Real number (ℝ)

ZEROS 

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.291457
Minimum0
Maximum69
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:14.016473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q320
95-th percentile36
Maximum69
Range69
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.217117
Coefficient of variation (CV)0.73355448
Kurtosis3.6133983
Mean15.291457
Median Absolute Deviation (MAD)7
Skewness1.5098284
Sum3043
Variance125.82371
MonotonicityNot monotonic
2023-12-10T15:42:14.203927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
8 11
 
5.5%
3 11
 
5.5%
16 11
 
5.5%
13 10
 
5.0%
5 9
 
4.5%
15 9
 
4.5%
4 9
 
4.5%
9 8
 
4.0%
2 8
 
4.0%
20 8
 
4.0%
Other values (31) 105
52.8%
ValueCountFrequency (%)
0 3
 
1.5%
2 8
4.0%
3 11
5.5%
4 9
4.5%
5 9
4.5%
6 8
4.0%
7 5
2.5%
8 11
5.5%
9 8
4.0%
10 3
 
1.5%
ValueCountFrequency (%)
69 1
0.5%
58 1
0.5%
54 1
0.5%
50 1
0.5%
47 1
0.5%
44 1
0.5%
40 1
0.5%
39 1
0.5%
37 1
0.5%
36 2
1.0%

116
Real number (ℝ)

Distinct93
Distinct (%)46.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.286432
Minimum15
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:14.407085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile22
Q138.5
median57
Q380.5
95-th percentile149.3
Maximum250
Range235
Interquartile range (IQR)42

Descriptive statistics

Standard deviation41.668404
Coefficient of variation (CV)0.61926904
Kurtosis3.7456055
Mean67.286432
Median Absolute Deviation (MAD)20
Skewness1.7413937
Sum13390
Variance1736.2559
MonotonicityNot monotonic
2023-12-10T15:42:14.966748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58 9
 
4.5%
50 6
 
3.0%
35 6
 
3.0%
27 5
 
2.5%
57 5
 
2.5%
51 5
 
2.5%
36 4
 
2.0%
42 4
 
2.0%
59 4
 
2.0%
77 4
 
2.0%
Other values (83) 147
73.9%
ValueCountFrequency (%)
15 2
 
1.0%
18 2
 
1.0%
19 2
 
1.0%
20 2
 
1.0%
21 1
 
0.5%
22 2
 
1.0%
24 3
1.5%
25 2
 
1.0%
26 1
 
0.5%
27 5
2.5%
ValueCountFrequency (%)
250 1
0.5%
226 2
1.0%
211 1
0.5%
194 1
0.5%
179 1
0.5%
169 1
0.5%
165 1
0.5%
153 1
0.5%
152 1
0.5%
149 1
0.5%

154
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.396985
Minimum12
Maximum287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:15.209493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile20
Q140
median60
Q388
95-th percentile165.1
Maximum287
Range275
Interquartile range (IQR)48

Descriptive statistics

Standard deviation48.978228
Coefficient of variation (CV)0.66730573
Kurtosis3.2494687
Mean73.396985
Median Absolute Deviation (MAD)23
Skewness1.6649481
Sum14606
Variance2398.8669
MonotonicityNot monotonic
2023-12-10T15:42:15.452573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 8
 
4.0%
64 6
 
3.0%
21 5
 
2.5%
84 5
 
2.5%
37 5
 
2.5%
41 4
 
2.0%
65 4
 
2.0%
88 4
 
2.0%
77 4
 
2.0%
72 4
 
2.0%
Other values (90) 150
75.4%
ValueCountFrequency (%)
12 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
18 1
 
0.5%
19 4
2.0%
20 3
1.5%
21 5
2.5%
23 1
 
0.5%
24 2
 
1.0%
26 2
 
1.0%
ValueCountFrequency (%)
287 1
0.5%
260 1
0.5%
248 1
0.5%
228 1
0.5%
215 1
0.5%
207 1
0.5%
194 1
0.5%
186 1
0.5%
175 2
1.0%
164 1
0.5%

34
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.306533
Minimum3
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:15.676366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median12
Q318
95-th percentile33.2
Maximum64
Range61
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.5622103
Coefficient of variation (CV)0.6683807
Kurtosis4.5681336
Mean14.306533
Median Absolute Deviation (MAD)5
Skewness1.8650583
Sum2847
Variance91.435866
MonotonicityNot monotonic
2023-12-10T15:42:15.861437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 19
 
9.5%
10 15
 
7.5%
7 14
 
7.0%
11 14
 
7.0%
13 14
 
7.0%
12 13
 
6.5%
5 12
 
6.0%
9 10
 
5.0%
18 8
 
4.0%
8 7
 
3.5%
Other values (27) 73
36.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 5
 
2.5%
5 12
6.0%
6 19
9.5%
7 14
7.0%
8 7
 
3.5%
9 10
5.0%
10 15
7.5%
11 14
7.0%
12 13
6.5%
ValueCountFrequency (%)
64 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
43 1
 
0.5%
41 2
1.0%
38 1
 
0.5%
37 2
1.0%
35 1
 
0.5%
33 3
1.5%
32 2
1.0%

26
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.768844
Minimum3
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:16.096039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median11
Q316
95-th percentile35.1
Maximum63
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.3898093
Coefficient of variation (CV)0.68196061
Kurtosis5.0106018
Mean13.768844
Median Absolute Deviation (MAD)4
Skewness1.9747512
Sum2740
Variance88.168519
MonotonicityNot monotonic
2023-12-10T15:42:16.297473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 26
 
13.1%
9 15
 
7.5%
8 14
 
7.0%
14 13
 
6.5%
12 13
 
6.5%
10 11
 
5.5%
11 11
 
5.5%
13 11
 
5.5%
15 9
 
4.5%
5 9
 
4.5%
Other values (26) 67
33.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 8
 
4.0%
5 9
 
4.5%
6 26
13.1%
7 5
 
2.5%
8 14
7.0%
9 15
7.5%
10 11
5.5%
11 11
5.5%
12 13
6.5%
ValueCountFrequency (%)
63 1
0.5%
48 1
0.5%
43 1
0.5%
42 2
1.0%
39 1
0.5%
38 1
0.5%
37 2
1.0%
36 1
0.5%
35 2
1.0%
32 1
0.5%

33
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.788945
Minimum3
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:16.518205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median11
Q318
95-th percentile34.1
Maximum53
Range50
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.4695513
Coefficient of variation (CV)0.64031285
Kurtosis2.4875229
Mean14.788945
Median Absolute Deviation (MAD)4
Skewness1.5600969
Sum2943
Variance89.672402
MonotonicityNot monotonic
2023-12-10T15:42:16.781605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11 19
 
9.5%
10 17
 
8.5%
8 15
 
7.5%
7 14
 
7.0%
9 10
 
5.0%
6 10
 
5.0%
15 9
 
4.5%
14 8
 
4.0%
13 8
 
4.0%
12 8
 
4.0%
Other values (31) 81
40.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 6
 
3.0%
5 8
4.0%
6 10
5.0%
7 14
7.0%
8 15
7.5%
9 10
5.0%
10 17
8.5%
11 19
9.5%
12 8
4.0%
ValueCountFrequency (%)
53 1
0.5%
50 1
0.5%
47 1
0.5%
43 1
0.5%
41 1
0.5%
40 1
0.5%
39 1
0.5%
37 1
0.5%
35 2
1.0%
34 1
0.5%

18
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.829146
Minimum2
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:16.986674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q315
95-th percentile27.1
Maximum46
Range44
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.0032162
Coefficient of variation (CV)0.67656755
Kurtosis3.3688868
Mean11.829146
Median Absolute Deviation (MAD)4
Skewness1.6809552
Sum2354
Variance64.051469
MonotonicityNot monotonic
2023-12-10T15:42:17.171798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 20
 
10.1%
6 20
 
10.1%
8 17
 
8.5%
4 14
 
7.0%
9 12
 
6.0%
12 11
 
5.5%
13 11
 
5.5%
10 9
 
4.5%
5 9
 
4.5%
15 9
 
4.5%
Other values (23) 67
33.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 5
 
2.5%
4 14
7.0%
5 9
4.5%
6 20
10.1%
7 20
10.1%
8 17
8.5%
9 12
6.0%
10 9
4.5%
11 8
 
4.0%
ValueCountFrequency (%)
46 1
 
0.5%
43 1
 
0.5%
40 2
1.0%
37 1
 
0.5%
31 2
1.0%
29 2
1.0%
28 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
25 3
1.5%

40
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.698492
Minimum2
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:17.364287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q317
95-th percentile38.1
Maximum66
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.075022
Coefficient of variation (CV)0.80848472
Kurtosis3.9421388
Mean13.698492
Median Absolute Deviation (MAD)4
Skewness1.9108667
Sum2726
Variance122.65611
MonotonicityNot monotonic
2023-12-10T15:42:17.578672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
10 20
 
10.1%
7 18
 
9.0%
6 15
 
7.5%
11 15
 
7.5%
9 14
 
7.0%
4 12
 
6.0%
8 11
 
5.5%
5 8
 
4.0%
3 7
 
3.5%
18 7
 
3.5%
Other values (29) 72
36.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 7
 
3.5%
4 12
6.0%
5 8
 
4.0%
6 15
7.5%
7 18
9.0%
8 11
5.5%
9 14
7.0%
10 20
10.1%
11 15
7.5%
ValueCountFrequency (%)
66 1
 
0.5%
54 1
 
0.5%
53 1
 
0.5%
45 1
 
0.5%
44 3
1.5%
40 2
1.0%
39 1
 
0.5%
38 1
 
0.5%
37 2
1.0%
36 3
1.5%

5.2
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.241206
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:17.786131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median10
Q317
95-th percentile32.2
Maximum64
Range63
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.245296
Coefficient of variation (CV)0.9186428
Kurtosis4.2125023
Mean12.241206
Median Absolute Deviation (MAD)7
Skewness1.7570435
Sum2436
Variance126.45668
MonotonicityNot monotonic
2023-12-10T15:42:17.985007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
2 25
 
12.6%
3 16
 
8.0%
1 13
 
6.5%
5 10
 
5.0%
14 10
 
5.0%
17 10
 
5.0%
4 9
 
4.5%
11 9
 
4.5%
12 9
 
4.5%
18 7
 
3.5%
Other values (25) 81
40.7%
ValueCountFrequency (%)
1 13
6.5%
2 25
12.6%
3 16
8.0%
4 9
 
4.5%
5 10
 
5.0%
6 7
 
3.5%
7 3
 
1.5%
8 7
 
3.5%
9 6
 
3.0%
10 6
 
3.0%
ValueCountFrequency (%)
64 1
 
0.5%
59 1
 
0.5%
55 1
 
0.5%
51 1
 
0.5%
42 2
1.0%
38 1
 
0.5%
36 2
1.0%
34 1
 
0.5%
32 4
2.0%
30 1
 
0.5%

62
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.728643
Minimum4
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:18.215197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.9
Q18
median14
Q325
95-th percentile57.2
Maximum101
Range97
Interquartile range (IQR)17

Descriptive statistics

Standard deviation17.00911
Coefficient of variation (CV)0.86215307
Kurtosis6.0667958
Mean19.728643
Median Absolute Deviation (MAD)7
Skewness2.2345847
Sum3926
Variance289.30983
MonotonicityNot monotonic
2023-12-10T15:42:18.470792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 18
 
9.0%
6 15
 
7.5%
10 14
 
7.0%
14 10
 
5.0%
11 10
 
5.0%
21 9
 
4.5%
7 8
 
4.0%
13 8
 
4.0%
12 8
 
4.0%
9 7
 
3.5%
Other values (41) 92
46.2%
ValueCountFrequency (%)
4 3
 
1.5%
5 7
 
3.5%
6 15
7.5%
7 8
4.0%
8 18
9.0%
9 7
 
3.5%
10 14
7.0%
11 10
5.0%
12 8
4.0%
13 8
4.0%
ValueCountFrequency (%)
101 1
0.5%
97 1
0.5%
90 1
0.5%
76 1
0.5%
74 1
0.5%
67 1
0.5%
62 1
0.5%
61 1
0.5%
60 1
0.5%
59 1
0.5%

25.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.18593
Minimum2
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:18.692826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317
95-th percentile39
Maximum73
Range71
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.159568
Coefficient of variation (CV)0.78666457
Kurtosis5.2462064
Mean14.18593
Median Absolute Deviation (MAD)5
Skewness2.0597517
Sum2823
Variance124.53596
MonotonicityNot monotonic
2023-12-10T15:42:18.890918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5 17
 
8.5%
8 16
 
8.0%
11 15
 
7.5%
12 13
 
6.5%
7 12
 
6.0%
6 12
 
6.0%
10 11
 
5.5%
13 10
 
5.0%
4 10
 
5.0%
9 8
 
4.0%
Other values (31) 75
37.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 10
5.0%
5 17
8.5%
6 12
6.0%
7 12
6.0%
8 16
8.0%
9 8
4.0%
10 11
5.5%
11 15
7.5%
ValueCountFrequency (%)
73 1
0.5%
53 2
1.0%
49 1
0.5%
47 1
0.5%
46 1
0.5%
43 2
1.0%
42 1
0.5%
39 2
1.0%
38 1
0.5%
33 2
1.0%

39
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.351759
Minimum2
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:19.100729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317
95-th percentile40.1
Maximum65
Range63
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.531112
Coefficient of variation (CV)0.80346335
Kurtosis3.7494613
Mean14.351759
Median Absolute Deviation (MAD)5
Skewness1.9104224
Sum2856
Variance132.96655
MonotonicityNot monotonic
2023-12-10T15:42:19.306800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7 19
 
9.5%
11 18
 
9.0%
10 16
 
8.0%
9 15
 
7.5%
5 12
 
6.0%
6 12
 
6.0%
4 11
 
5.5%
17 10
 
5.0%
12 8
 
4.0%
8 7
 
3.5%
Other values (33) 71
35.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 6
 
3.0%
4 11
5.5%
5 12
6.0%
6 12
6.0%
7 19
9.5%
8 7
 
3.5%
9 15
7.5%
10 16
8.0%
11 18
9.0%
ValueCountFrequency (%)
65 1
0.5%
58 1
0.5%
56 1
0.5%
51 1
0.5%
49 1
0.5%
45 1
0.5%
43 2
1.0%
42 1
0.5%
41 1
0.5%
40 1
0.5%

20
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.366834
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:19.546856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median9
Q314.5
95-th percentile27.1
Maximum47
Range46
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation8.6574021
Coefficient of variation (CV)0.76163706
Kurtosis3.4700263
Mean11.366834
Median Absolute Deviation (MAD)5
Skewness1.6480792
Sum2262
Variance74.950612
MonotonicityNot monotonic
2023-12-10T15:42:19.755246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
6 19
 
9.5%
2 15
 
7.5%
4 14
 
7.0%
12 13
 
6.5%
14 12
 
6.0%
8 12
 
6.0%
10 11
 
5.5%
3 11
 
5.5%
5 10
 
5.0%
7 9
 
4.5%
Other values (25) 73
36.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 15
7.5%
3 11
5.5%
4 14
7.0%
5 10
5.0%
6 19
9.5%
7 9
4.5%
8 12
6.0%
9 8
4.0%
10 11
5.5%
ValueCountFrequency (%)
47 1
0.5%
46 1
0.5%
45 1
0.5%
42 1
0.5%
37 1
0.5%
32 1
0.5%
30 2
1.0%
29 1
0.5%
28 1
0.5%
27 2
1.0%

8.1
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.030151
Minimum0
Maximum78
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:19.998166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median12
Q321
95-th percentile39
Maximum78
Range78
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.031678
Coefficient of variation (CV)1.0001088
Kurtosis3.6932246
Mean14.030151
Median Absolute Deviation (MAD)10
Skewness1.6392172
Sum2792
Variance196.88798
MonotonicityNot monotonic
2023-12-10T15:42:20.233714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 31
 
15.6%
2 23
 
11.6%
3 10
 
5.0%
15 8
 
4.0%
4 7
 
3.5%
16 7
 
3.5%
5 6
 
3.0%
9 6
 
3.0%
7 6
 
3.0%
21 6
 
3.0%
Other values (35) 89
44.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 31
15.6%
2 23
11.6%
3 10
 
5.0%
4 7
 
3.5%
5 6
 
3.0%
6 3
 
1.5%
7 6
 
3.0%
8 2
 
1.0%
9 6
 
3.0%
ValueCountFrequency (%)
78 1
0.5%
73 1
0.5%
62 1
0.5%
60 1
0.5%
52 2
1.0%
47 1
0.5%
44 1
0.5%
43 1
0.5%
39 2
1.0%
38 1
0.5%

93
Real number (ℝ)

Distinct78
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.653266
Minimum7
Maximum246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:20.495514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile15
Q123
median32
Q353.5
95-th percentile136.2
Maximum246
Range239
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation40.331397
Coefficient of variation (CV)0.86449246
Kurtosis6.9319305
Mean46.653266
Median Absolute Deviation (MAD)13
Skewness2.4376009
Sum9284
Variance1626.6216
MonotonicityNot monotonic
2023-12-10T15:42:20.734986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 9
 
4.5%
26 9
 
4.5%
16 8
 
4.0%
18 6
 
3.0%
35 6
 
3.0%
19 6
 
3.0%
22 6
 
3.0%
23 5
 
2.5%
30 5
 
2.5%
32 5
 
2.5%
Other values (68) 134
67.3%
ValueCountFrequency (%)
7 1
 
0.5%
10 2
 
1.0%
11 1
 
0.5%
13 3
 
1.5%
14 1
 
0.5%
15 4
2.0%
16 8
4.0%
17 5
2.5%
18 6
3.0%
19 6
3.0%
ValueCountFrequency (%)
246 1
0.5%
234 1
0.5%
210 1
0.5%
192 1
0.5%
173 1
0.5%
170 1
0.5%
142 1
0.5%
141 2
1.0%
138 1
0.5%
136 1
0.5%

193
Real number (ℝ)

Distinct89
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.070352
Minimum11
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:20.985090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile15
Q124
median37
Q361.5
95-th percentile176.8
Maximum403
Range392
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation60.154054
Coefficient of variation (CV)1.0358824
Kurtosis9.3291857
Mean58.070352
Median Absolute Deviation (MAD)16
Skewness2.7942447
Sum11556
Variance3618.5102
MonotonicityNot monotonic
2023-12-10T15:42:21.264380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 7
 
3.5%
23 7
 
3.5%
29 7
 
3.5%
40 6
 
3.0%
33 6
 
3.0%
36 6
 
3.0%
26 6
 
3.0%
22 6
 
3.0%
68 5
 
2.5%
42 5
 
2.5%
Other values (79) 138
69.3%
ValueCountFrequency (%)
11 2
 
1.0%
12 2
 
1.0%
13 2
 
1.0%
14 1
 
0.5%
15 4
2.0%
16 5
2.5%
17 2
 
1.0%
18 7
3.5%
19 4
2.0%
20 4
2.0%
ValueCountFrequency (%)
403 1
0.5%
322 1
0.5%
295 1
0.5%
294 1
0.5%
281 1
0.5%
217 1
0.5%
203 1
0.5%
202 1
0.5%
188 1
0.5%
184 1
0.5%

15
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9246231
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:21.512295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q310
95-th percentile29.1
Maximum138
Range137
Interquartile range (IQR)6

Descriptive statistics

Standard deviation13.258858
Coefficient of variation (CV)1.3359558
Kurtosis46.373851
Mean9.9246231
Median Absolute Deviation (MAD)3
Skewness5.7052898
Sum1975
Variance175.79732
MonotonicityNot monotonic
2023-12-10T15:42:21.730519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5 30
15.1%
4 27
13.6%
3 26
13.1%
6 17
 
8.5%
7 13
 
6.5%
2 10
 
5.0%
9 10
 
5.0%
8 9
 
4.5%
10 8
 
4.0%
12 6
 
3.0%
Other values (24) 43
21.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 10
 
5.0%
3 26
13.1%
4 27
13.6%
5 30
15.1%
6 17
8.5%
7 13
6.5%
8 9
 
4.5%
9 10
 
5.0%
10 8
 
4.0%
ValueCountFrequency (%)
138 1
0.5%
68 1
0.5%
62 1
0.5%
50 1
0.5%
41 1
0.5%
35 1
0.5%
33 2
1.0%
30 2
1.0%
29 1
0.5%
27 2
1.0%

20.1
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7889447
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:21.933779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q311
95-th percentile28.1
Maximum50
Range48
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.1924254
Coefficient of variation (CV)0.93906194
Kurtosis5.5726656
Mean9.7889447
Median Absolute Deviation (MAD)2
Skewness2.3135121
Sum1948
Variance84.500685
MonotonicityNot monotonic
2023-12-10T15:42:22.179727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 28
14.1%
5 24
12.1%
3 23
11.6%
6 21
10.6%
7 19
9.5%
8 10
 
5.0%
10 10
 
5.0%
11 8
 
4.0%
9 7
 
3.5%
2 5
 
2.5%
Other values (26) 44
22.1%
ValueCountFrequency (%)
2 5
 
2.5%
3 23
11.6%
4 28
14.1%
5 24
12.1%
6 21
10.6%
7 19
9.5%
8 10
 
5.0%
9 7
 
3.5%
10 10
 
5.0%
11 8
 
4.0%
ValueCountFrequency (%)
50 1
0.5%
47 1
0.5%
45 1
0.5%
44 1
0.5%
42 2
1.0%
39 1
0.5%
34 1
0.5%
30 1
0.5%
29 1
0.5%
28 2
1.0%

21.1
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.829146
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:22.403479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median9
Q314
95-th percentile29.1
Maximum42
Range41
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.9500305
Coefficient of variation (CV)0.73413274
Kurtosis1.8958106
Mean10.829146
Median Absolute Deviation (MAD)5
Skewness1.3382227
Sum2155
Variance63.202985
MonotonicityNot monotonic
2023-12-10T15:42:23.060135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 18
 
9.0%
5 15
 
7.5%
8 14
 
7.0%
4 13
 
6.5%
6 13
 
6.5%
2 12
 
6.0%
12 12
 
6.0%
13 11
 
5.5%
7 9
 
4.5%
10 9
 
4.5%
Other values (24) 73
36.7%
ValueCountFrequency (%)
1 3
 
1.5%
2 12
6.0%
3 18
9.0%
4 13
6.5%
5 15
7.5%
6 13
6.5%
7 9
4.5%
8 14
7.0%
9 6
 
3.0%
10 9
4.5%
ValueCountFrequency (%)
42 1
 
0.5%
40 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 4
2.0%
29 1
 
0.5%
26 1
 
0.5%
25 2
1.0%

33.1
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.19598
Minimum2
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:23.256998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median7
Q313
95-th percentile37.1
Maximum68
Range66
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.094033
Coefficient of variation (CV)0.99089429
Kurtosis7.8893533
Mean11.19598
Median Absolute Deviation (MAD)3
Skewness2.5979629
Sum2228
Variance123.07756
MonotonicityNot monotonic
2023-12-10T15:42:23.442709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
3 23
11.6%
5 22
 
11.1%
7 21
 
10.6%
4 17
 
8.5%
6 16
 
8.0%
9 13
 
6.5%
8 12
 
6.0%
17 7
 
3.5%
13 7
 
3.5%
14 6
 
3.0%
Other values (25) 55
27.6%
ValueCountFrequency (%)
2 5
 
2.5%
3 23
11.6%
4 17
8.5%
5 22
11.1%
6 16
8.0%
7 21
10.6%
8 12
6.0%
9 13
6.5%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
68 1
 
0.5%
67 1
 
0.5%
50 1
 
0.5%
48 2
1.0%
42 3
1.5%
39 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 2
1.0%
31 1
 
0.5%

18.1
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9748744
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:23.656619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q39.5
95-th percentile20.1
Maximum58
Range57
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation7.5528021
Coefficient of variation (CV)0.94707475
Kurtosis15.58968
Mean7.9748744
Median Absolute Deviation (MAD)2
Skewness3.4772805
Sum1587
Variance57.04482
MonotonicityNot monotonic
2023-12-10T15:42:23.821522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 31
15.6%
6 28
14.1%
4 26
13.1%
5 25
12.6%
10 13
6.5%
7 13
6.5%
11 10
 
5.0%
8 10
 
5.0%
9 7
 
3.5%
2 7
 
3.5%
Other values (17) 29
14.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 31
15.6%
4 26
13.1%
5 25
12.6%
6 28
14.1%
7 13
6.5%
8 10
 
5.0%
9 7
 
3.5%
10 13
6.5%
ValueCountFrequency (%)
58 1
0.5%
47 1
0.5%
42 1
0.5%
36 1
0.5%
33 1
0.5%
29 1
0.5%
27 2
1.0%
26 1
0.5%
21 1
0.5%
20 1
0.5%

7.1
Real number (ℝ)

Distinct25
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6030151
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:23.976339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile19
Maximum41
Range40
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.7637136
Coefficient of variation (CV)0.75808263
Kurtosis7.6757678
Mean7.6030151
Median Absolute Deviation (MAD)2
Skewness2.3265047
Sum1513
Variance33.220395
MonotonicityNot monotonic
2023-12-10T15:42:24.166769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6 27
13.6%
5 22
11.1%
4 22
11.1%
8 21
10.6%
2 21
10.6%
3 14
7.0%
7 14
7.0%
9 11
 
5.5%
11 7
 
3.5%
10 6
 
3.0%
Other values (15) 34
17.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 21
10.6%
3 14
7.0%
4 22
11.1%
5 22
11.1%
6 27
13.6%
7 14
7.0%
8 21
10.6%
9 11
5.5%
10 6
 
3.0%
ValueCountFrequency (%)
41 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
27 1
 
0.5%
25 1
 
0.5%
23 3
1.5%
22 1
 
0.5%
19 2
1.0%
17 1
 
0.5%
16 4
2.0%

34.1
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.371859
Minimum2
Maximum208
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:24.385452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median7
Q315
95-th percentile66.3
Maximum208
Range206
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.58468
Coefficient of variation (CV)1.5993303
Kurtosis26.375192
Mean15.371859
Median Absolute Deviation (MAD)4
Skewness4.4556025
Sum3059
Variance604.40648
MonotonicityNot monotonic
2023-12-10T15:42:24.561669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4 23
 
11.6%
5 22
 
11.1%
3 21
 
10.6%
6 21
 
10.6%
2 10
 
5.0%
7 10
 
5.0%
8 9
 
4.5%
11 8
 
4.0%
9 7
 
3.5%
10 7
 
3.5%
Other values (37) 61
30.7%
ValueCountFrequency (%)
2 10
5.0%
3 21
10.6%
4 23
11.6%
5 22
11.1%
6 21
10.6%
7 10
5.0%
8 9
 
4.5%
9 7
 
3.5%
10 7
 
3.5%
11 8
 
4.0%
ValueCountFrequency (%)
208 1
0.5%
168 1
0.5%
92 1
0.5%
82 1
0.5%
81 1
0.5%
75 2
1.0%
74 1
0.5%
69 2
1.0%
66 1
0.5%
53 1
0.5%

29
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.648241
Minimum2
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:24.748168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median7
Q313
95-th percentile38.2
Maximum78
Range76
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.79271
Coefficient of variation (CV)1.0982525
Kurtosis9.0134663
Mean11.648241
Median Absolute Deviation (MAD)4
Skewness2.7543102
Sum2318
Variance163.65342
MonotonicityNot monotonic
2023-12-10T15:42:24.963153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
6 24
12.1%
5 21
 
10.6%
4 20
 
10.1%
3 19
 
9.5%
2 13
 
6.5%
7 13
 
6.5%
8 9
 
4.5%
11 8
 
4.0%
12 7
 
3.5%
10 6
 
3.0%
Other values (31) 59
29.6%
ValueCountFrequency (%)
2 13
6.5%
3 19
9.5%
4 20
10.1%
5 21
10.6%
6 24
12.1%
7 13
6.5%
8 9
 
4.5%
9 6
 
3.0%
10 6
 
3.0%
11 8
 
4.0%
ValueCountFrequency (%)
78 1
0.5%
76 1
0.5%
68 1
0.5%
56 1
0.5%
55 1
0.5%
50 1
0.5%
46 1
0.5%
43 1
0.5%
41 1
0.5%
40 1
0.5%

69
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.532663
Minimum2
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:25.213477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.5
median8
Q313
95-th percentile40.3
Maximum100
Range98
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation15.66498
Coefficient of variation (CV)1.2499323
Kurtosis13.527522
Mean12.532663
Median Absolute Deviation (MAD)4
Skewness3.4586805
Sum2494
Variance245.3916
MonotonicityNot monotonic
2023-12-10T15:42:25.444375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3 23
11.6%
5 22
 
11.1%
4 21
 
10.6%
8 17
 
8.5%
6 15
 
7.5%
10 10
 
5.0%
12 10
 
5.0%
7 9
 
4.5%
9 8
 
4.0%
13 7
 
3.5%
Other values (30) 57
28.6%
ValueCountFrequency (%)
2 6
 
3.0%
3 23
11.6%
4 21
10.6%
5 22
11.1%
6 15
7.5%
7 9
 
4.5%
8 17
8.5%
9 8
 
4.0%
10 10
5.0%
11 2
 
1.0%
ValueCountFrequency (%)
100 1
0.5%
93 1
0.5%
90 1
0.5%
82 1
0.5%
69 1
0.5%
66 1
0.5%
60 1
0.5%
59 1
0.5%
46 1
0.5%
43 1
0.5%

41
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4572864
Minimum2
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:25.635082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q310
95-th percentile27.3
Maximum98
Range96
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.362571
Coefficient of variation (CV)1.2014621
Kurtosis26.550055
Mean9.4572864
Median Absolute Deviation (MAD)2
Skewness4.5668385
Sum1882
Variance129.10801
MonotonicityNot monotonic
2023-12-10T15:42:25.856665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4 26
13.1%
6 25
12.6%
5 25
12.6%
3 23
11.6%
7 15
7.5%
9 13
 
6.5%
8 11
 
5.5%
12 10
 
5.0%
11 9
 
4.5%
2 7
 
3.5%
Other values (19) 35
17.6%
ValueCountFrequency (%)
2 7
 
3.5%
3 23
11.6%
4 26
13.1%
5 25
12.6%
6 25
12.6%
7 15
7.5%
8 11
5.5%
9 13
6.5%
10 6
 
3.0%
11 9
 
4.5%
ValueCountFrequency (%)
98 1
 
0.5%
78 1
 
0.5%
56 1
 
0.5%
44 3
1.5%
39 1
 
0.5%
38 1
 
0.5%
33 1
 
0.5%
30 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%

20.2
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1708543
Minimum1
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:26.151756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7
Q311
95-th percentile21.3
Maximum59
Range58
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.2704574
Coefficient of variation (CV)0.79277864
Kurtosis12.648551
Mean9.1708543
Median Absolute Deviation (MAD)3
Skewness2.7792721
Sum1825
Variance52.85955
MonotonicityNot monotonic
2023-12-10T15:42:26.364695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
7 24
12.1%
3 21
10.6%
6 18
 
9.0%
10 18
 
9.0%
9 13
 
6.5%
8 12
 
6.0%
4 12
 
6.0%
5 12
 
6.0%
2 11
 
5.5%
11 10
 
5.0%
Other values (18) 48
24.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 11
5.5%
3 21
10.6%
4 12
6.0%
5 12
6.0%
6 18
9.0%
7 24
12.1%
8 12
6.0%
9 13
6.5%
10 18
9.0%
ValueCountFrequency (%)
59 1
 
0.5%
38 1
 
0.5%
36 1
 
0.5%
33 1
 
0.5%
28 2
1.0%
27 1
 
0.5%
24 3
1.5%
21 2
1.0%
20 3
1.5%
19 2
1.0%

371
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.386935
Minimum13
Maximum565
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:26.664992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19.9
Q133
median61
Q3116.5
95-th percentile326.3
Maximum565
Range552
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation97.803793
Coefficient of variation (CV)1.0362005
Kurtosis5.8147673
Mean94.386935
Median Absolute Deviation (MAD)32
Skewness2.2936256
Sum18783
Variance9565.5818
MonotonicityNot monotonic
2023-12-10T15:42:26.881226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 9
 
4.5%
22 6
 
3.0%
39 5
 
2.5%
43 5
 
2.5%
20 5
 
2.5%
46 5
 
2.5%
19 4
 
2.0%
63 4
 
2.0%
69 4
 
2.0%
34 3
 
1.5%
Other values (104) 149
74.9%
ValueCountFrequency (%)
13 1
 
0.5%
14 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
18 2
 
1.0%
19 4
2.0%
20 5
2.5%
21 3
1.5%
22 6
3.0%
23 3
1.5%
ValueCountFrequency (%)
565 1
0.5%
531 1
0.5%
447 1
0.5%
406 1
0.5%
385 1
0.5%
384 1
0.5%
369 1
0.5%
360 1
0.5%
344 1
0.5%
329 1
0.5%

645
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.85427
Minimum13
Maximum749
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:27.109496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20
Q136
median66
Q3153
95-th percentile426.3
Maximum749
Range736
Interquartile range (IQR)117

Descriptive statistics

Standard deviation141.22957
Coefficient of variation (CV)1.1495699
Kurtosis4.4019522
Mean122.85427
Median Absolute Deviation (MAD)38
Skewness2.1350254
Sum24448
Variance19945.792
MonotonicityNot monotonic
2023-12-10T15:42:27.305014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 6
 
3.0%
36 5
 
2.5%
32 4
 
2.0%
44 4
 
2.0%
38 4
 
2.0%
29 4
 
2.0%
37 4
 
2.0%
41 3
 
1.5%
67 3
 
1.5%
19 3
 
1.5%
Other values (117) 159
79.9%
ValueCountFrequency (%)
13 1
 
0.5%
14 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
18 1
 
0.5%
19 3
1.5%
20 3
1.5%
21 2
 
1.0%
22 6
3.0%
23 3
1.5%
ValueCountFrequency (%)
749 1
0.5%
625 1
0.5%
621 1
0.5%
599 1
0.5%
594 1
0.5%
568 1
0.5%
538 1
0.5%
513 1
0.5%
498 1
0.5%
483 1
0.5%

10
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.261307
Minimum0
Maximum69
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:27.496395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median10
Q320
95-th percentile39
Maximum69
Range69
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.813821
Coefficient of variation (CV)0.96625628
Kurtosis2.3537085
Mean13.261307
Median Absolute Deviation (MAD)8
Skewness1.402965
Sum2639
Variance164.194
MonotonicityNot monotonic
2023-12-10T15:42:27.729845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
2 29
 
14.6%
1 28
 
14.1%
3 9
 
4.5%
16 8
 
4.0%
17 7
 
3.5%
22 7
 
3.5%
20 6
 
3.0%
6 6
 
3.0%
10 5
 
2.5%
9 5
 
2.5%
Other values (32) 89
44.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 28
14.1%
2 29
14.6%
3 9
 
4.5%
4 5
 
2.5%
5 5
 
2.5%
6 6
 
3.0%
7 4
 
2.0%
8 3
 
1.5%
9 5
 
2.5%
ValueCountFrequency (%)
69 1
 
0.5%
58 1
 
0.5%
54 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
46 1
 
0.5%
43 3
1.5%
39 3
1.5%
38 1
 
0.5%
36 1
 
0.5%

75
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.738693
Minimum2
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:27.962274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q324.5
95-th percentile76
Maximum241
Range239
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation29.183883
Coefficient of variation (CV)1.3424856
Kurtosis17.641551
Mean21.738693
Median Absolute Deviation (MAD)7
Skewness3.4487498
Sum4326
Variance851.69905
MonotonicityNot monotonic
2023-12-10T15:42:28.172337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 21
 
10.6%
3 17
 
8.5%
7 16
 
8.0%
4 13
 
6.5%
5 12
 
6.0%
11 7
 
3.5%
9 6
 
3.0%
12 6
 
3.0%
24 6
 
3.0%
8 6
 
3.0%
Other values (46) 89
44.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 17
8.5%
4 13
6.5%
5 12
6.0%
6 21
10.6%
7 16
8.0%
8 6
 
3.0%
9 6
 
3.0%
10 3
 
1.5%
11 7
 
3.5%
ValueCountFrequency (%)
241 1
0.5%
131 1
0.5%
127 1
0.5%
116 1
0.5%
110 1
0.5%
109 1
0.5%
87 1
0.5%
77 2
1.0%
76 2
1.0%
74 1
0.5%

94
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.39196
Minimum2
Maximum153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:28.394038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q325.5
95-th percentile80.4
Maximum153
Range151
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation25.444277
Coefficient of variation (CV)1.1894318
Kurtosis6.0576673
Mean21.39196
Median Absolute Deviation (MAD)7
Skewness2.3628005
Sum4257
Variance647.41125
MonotonicityNot monotonic
2023-12-10T15:42:28.642485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 18
 
9.0%
7 15
 
7.5%
3 14
 
7.0%
4 12
 
6.0%
8 10
 
5.0%
6 10
 
5.0%
13 10
 
5.0%
9 8
 
4.0%
15 6
 
3.0%
10 5
 
2.5%
Other values (49) 91
45.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 14
7.0%
4 12
6.0%
5 18
9.0%
6 10
5.0%
7 15
7.5%
8 10
5.0%
9 8
4.0%
10 5
 
2.5%
11 4
 
2.0%
ValueCountFrequency (%)
153 1
0.5%
115 1
0.5%
112 1
0.5%
107 1
0.5%
103 1
0.5%
101 1
0.5%
94 1
0.5%
92 1
0.5%
86 1
0.5%
84 1
0.5%

119
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.462312
Minimum2
Maximum145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:28.892293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median13
Q328
95-th percentile91
Maximum145
Range143
Interquartile range (IQR)22

Descriptive statistics

Standard deviation26.628521
Coefficient of variation (CV)1.1349487
Kurtosis4.8107184
Mean23.462312
Median Absolute Deviation (MAD)8
Skewness2.1736572
Sum4669
Variance709.07812
MonotonicityNot monotonic
2023-12-10T15:42:29.139737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
6 16
 
8.0%
5 13
 
6.5%
9 12
 
6.0%
7 11
 
5.5%
3 7
 
3.5%
20 6
 
3.0%
10 5
 
2.5%
15 5
 
2.5%
8 5
 
2.5%
Other values (54) 103
51.8%
ValueCountFrequency (%)
2 2
 
1.0%
3 7
3.5%
4 16
8.0%
5 13
6.5%
6 16
8.0%
7 11
5.5%
8 5
 
2.5%
9 12
6.0%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
145 1
0.5%
127 1
0.5%
115 1
0.5%
110 1
0.5%
107 1
0.5%
106 1
0.5%
105 1
0.5%
100 1
0.5%
93 1
0.5%
91 2
1.0%

60
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.592965
Minimum2
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:29.390138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q319
95-th percentile51.2
Maximum108
Range106
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.903756
Coefficient of variation (CV)1.0199315
Kurtosis8.8688122
Mean15.592965
Median Absolute Deviation (MAD)5
Skewness2.7005535
Sum3103
Variance252.92945
MonotonicityNot monotonic
2023-12-10T15:42:29.620036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4 21
 
10.6%
7 20
 
10.1%
5 13
 
6.5%
6 12
 
6.0%
9 11
 
5.5%
12 11
 
5.5%
8 11
 
5.5%
10 8
 
4.0%
13 7
 
3.5%
14 6
 
3.0%
Other values (35) 79
39.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 6
 
3.0%
4 21
10.6%
5 13
6.5%
6 12
6.0%
7 20
10.1%
8 11
5.5%
9 11
5.5%
10 8
 
4.0%
11 3
 
1.5%
ValueCountFrequency (%)
108 1
0.5%
77 1
0.5%
75 2
1.0%
73 1
0.5%
61 1
0.5%
60 1
0.5%
58 2
1.0%
53 1
0.5%
51 1
0.5%
50 1
0.5%

23
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.974874
Minimum3
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:29.819336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4.9
Q17
median10
Q315
95-th percentile25.1
Maximum53
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.5628259
Coefficient of variation (CV)0.63155785
Kurtosis6.3441238
Mean11.974874
Median Absolute Deviation (MAD)3
Skewness2.0945437
Sum2383
Variance57.196335
MonotonicityNot monotonic
2023-12-10T15:42:30.447331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
8 20
 
10.1%
6 19
 
9.5%
7 18
 
9.0%
10 17
 
8.5%
11 16
 
8.0%
9 14
 
7.0%
5 12
 
6.0%
13 8
 
4.0%
12 7
 
3.5%
18 7
 
3.5%
Other values (21) 61
30.7%
ValueCountFrequency (%)
3 4
 
2.0%
4 6
 
3.0%
5 12
6.0%
6 19
9.5%
7 18
9.0%
8 20
10.1%
9 14
7.0%
10 17
8.5%
11 16
8.0%
12 7
 
3.5%
ValueCountFrequency (%)
53 1
0.5%
46 1
0.5%
37 1
0.5%
36 1
0.5%
34 1
0.5%
31 1
0.5%
29 2
1.0%
28 1
0.5%
26 1
0.5%
25 2
1.0%

179
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.266332
Minimum2
Maximum371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:30.690248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q341.5
95-th percentile162.5
Maximum371
Range369
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation59.379148
Coefficient of variation (CV)1.5517335
Kurtosis9.6246425
Mean38.266332
Median Absolute Deviation (MAD)9
Skewness2.8121133
Sum7615
Variance3525.8833
MonotonicityNot monotonic
2023-12-10T15:42:30.935218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 19
 
9.5%
3 17
 
8.5%
5 13
 
6.5%
4 11
 
5.5%
8 11
 
5.5%
7 9
 
4.5%
12 7
 
3.5%
10 6
 
3.0%
13 4
 
2.0%
20 4
 
2.0%
Other values (61) 98
49.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 17
8.5%
4 11
5.5%
5 13
6.5%
6 19
9.5%
7 9
4.5%
8 11
5.5%
9 4
 
2.0%
10 6
 
3.0%
11 1
 
0.5%
ValueCountFrequency (%)
371 1
0.5%
361 1
0.5%
237 1
0.5%
207 1
0.5%
206 1
0.5%
204 1
0.5%
191 1
0.5%
173 1
0.5%
167 2
1.0%
162 2
1.0%

128
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.663317
Minimum2
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:31.153796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median13
Q330.5
95-th percentile90.2
Maximum165
Range163
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation31.821189
Coefficient of variation (CV)1.2399484
Kurtosis5.1818044
Mean25.663317
Median Absolute Deviation (MAD)9
Skewness2.2559828
Sum5107
Variance1012.5881
MonotonicityNot monotonic
2023-12-10T15:42:31.413719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
7 14
 
7.0%
3 14
 
7.0%
5 14
 
7.0%
6 10
 
5.0%
10 8
 
4.0%
14 7
 
3.5%
8 7
 
3.5%
9 7
 
3.5%
16 6
 
3.0%
Other values (57) 96
48.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 14
7.0%
4 16
8.0%
5 14
7.0%
6 10
5.0%
7 14
7.0%
8 7
3.5%
9 7
3.5%
10 8
4.0%
11 2
 
1.0%
ValueCountFrequency (%)
165 1
0.5%
156 1
0.5%
148 1
0.5%
131 2
1.0%
125 1
0.5%
124 1
0.5%
119 1
0.5%
111 1
0.5%
110 1
0.5%
88 1
0.5%

192
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.361809
Minimum2
Maximum186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:31.681342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median15
Q331
95-th percentile100
Maximum186
Range184
Interquartile range (IQR)25

Descriptive statistics

Standard deviation33.891833
Coefficient of variation (CV)1.2856414
Kurtosis7.6967971
Mean26.361809
Median Absolute Deviation (MAD)10
Skewness2.662781
Sum5246
Variance1148.6563
MonotonicityNot monotonic
2023-12-10T15:42:31.916121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 18
 
9.0%
4 14
 
7.0%
5 14
 
7.0%
3 10
 
5.0%
10 10
 
5.0%
16 8
 
4.0%
19 8
 
4.0%
8 7
 
3.5%
31 7
 
3.5%
7 6
 
3.0%
Other values (56) 97
48.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 10
5.0%
4 14
7.0%
5 14
7.0%
6 18
9.0%
7 6
 
3.0%
8 7
 
3.5%
9 5
 
2.5%
10 10
5.0%
11 2
 
1.0%
ValueCountFrequency (%)
186 1
0.5%
178 1
0.5%
176 1
0.5%
148 1
0.5%
145 1
0.5%
142 1
0.5%
132 1
0.5%
129 1
0.5%
115 1
0.5%
100 2
1.0%

97
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.20603
Minimum2
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:32.174808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q321
95-th percentile70
Maximum125
Range123
Interquartile range (IQR)14

Descriptive statistics

Standard deviation20.401098
Coefficient of variation (CV)1.1205682
Kurtosis8.7283751
Mean18.20603
Median Absolute Deviation (MAD)5
Skewness2.7600116
Sum3623
Variance416.20481
MonotonicityNot monotonic
2023-12-10T15:42:32.413647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 17
 
8.5%
8 15
 
7.5%
4 14
 
7.0%
5 14
 
7.0%
9 12
 
6.0%
6 11
 
5.5%
11 10
 
5.0%
12 7
 
3.5%
10 7
 
3.5%
15 6
 
3.0%
Other values (40) 86
43.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 14
7.0%
5 14
7.0%
6 11
5.5%
7 17
8.5%
8 15
7.5%
9 12
6.0%
10 7
3.5%
11 10
5.0%
ValueCountFrequency (%)
125 1
0.5%
122 1
0.5%
94 1
0.5%
87 1
0.5%
85 1
0.5%
77 1
0.5%
74 1
0.5%
73 2
1.0%
70 2
1.0%
68 1
0.5%

49
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.663317
Minimum2
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:32.687038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median12
Q318
95-th percentile36.2
Maximum54
Range52
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.6206959
Coefficient of variation (CV)0.6561064
Kurtosis2.528188
Mean14.663317
Median Absolute Deviation (MAD)4
Skewness1.5999278
Sum2918
Variance92.557789
MonotonicityNot monotonic
2023-12-10T15:42:32.895730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
8 19
 
9.5%
9 14
 
7.0%
7 14
 
7.0%
12 14
 
7.0%
5 13
 
6.5%
11 13
 
6.5%
10 11
 
5.5%
13 10
 
5.0%
14 9
 
4.5%
15 8
 
4.0%
Other values (31) 74
37.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 2
 
1.0%
5 13
6.5%
6 5
 
2.5%
7 14
7.0%
8 19
9.5%
9 14
7.0%
10 11
5.5%
11 13
6.5%
ValueCountFrequency (%)
54 1
 
0.5%
47 2
1.0%
44 1
 
0.5%
41 2
1.0%
40 1
 
0.5%
38 3
1.5%
36 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
33 1
 
0.5%

99
Real number (ℝ)

Distinct82
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.58794
Minimum7
Maximum256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:33.130060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile13.9
Q121.5
median31
Q351
95-th percentile130.6
Maximum256
Range249
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation42.470085
Coefficient of variation (CV)0.93160791
Kurtosis8.6482271
Mean45.58794
Median Absolute Deviation (MAD)13
Skewness2.731923
Sum9072
Variance1803.7081
MonotonicityNot monotonic
2023-12-10T15:42:33.350583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 10
 
5.0%
17 9
 
4.5%
30 8
 
4.0%
16 7
 
3.5%
18 7
 
3.5%
24 7
 
3.5%
27 6
 
3.0%
36 5
 
2.5%
22 5
 
2.5%
39 5
 
2.5%
Other values (72) 130
65.3%
ValueCountFrequency (%)
7 2
 
1.0%
8 1
 
0.5%
10 2
 
1.0%
11 1
 
0.5%
12 1
 
0.5%
13 3
 
1.5%
14 4
2.0%
15 4
2.0%
16 7
3.5%
17 9
4.5%
ValueCountFrequency (%)
256 1
0.5%
249 1
0.5%
229 1
0.5%
224 1
0.5%
185 1
0.5%
173 1
0.5%
166 1
0.5%
165 1
0.5%
148 1
0.5%
145 1
0.5%

10.1
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.74372
Minimum5
Maximum387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:33.626220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile36
Q160
median95
Q3138.5
95-th percentile280.3
Maximum387
Range382
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation75.401415
Coefficient of variation (CV)0.65712891
Kurtosis2.5038583
Mean114.74372
Median Absolute Deviation (MAD)37
Skewness1.5473223
Sum22834
Variance5685.3734
MonotonicityNot monotonic
2023-12-10T15:42:33.895239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 5
 
2.5%
64 4
 
2.0%
91 4
 
2.0%
45 4
 
2.0%
49 4
 
2.0%
106 4
 
2.0%
132 4
 
2.0%
60 4
 
2.0%
74 4
 
2.0%
120 3
 
1.5%
Other values (117) 159
79.9%
ValueCountFrequency (%)
5 2
1.0%
8 1
 
0.5%
9 1
 
0.5%
30 1
 
0.5%
31 1
 
0.5%
33 1
 
0.5%
35 1
 
0.5%
36 3
1.5%
37 2
1.0%
39 1
 
0.5%
ValueCountFrequency (%)
387 1
0.5%
361 1
0.5%
360 1
0.5%
352 1
0.5%
351 1
0.5%
346 1
0.5%
345 1
0.5%
327 1
0.5%
305 1
0.5%
301 1
0.5%

20.3
Real number (ℝ)

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.40201
Minimum6
Maximum669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:34.123950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile43.8
Q168.5
median105
Q3181
95-th percentile324.3
Maximum669
Range663
Interquartile range (IQR)112.5

Descriptive statistics

Standard deviation104.13351
Coefficient of variation (CV)0.74700147
Kurtosis6.5981388
Mean139.40201
Median Absolute Deviation (MAD)44
Skewness2.1597781
Sum27741
Variance10843.787
MonotonicityNot monotonic
2023-12-10T15:42:34.351375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61 5
 
2.5%
89 4
 
2.0%
95 4
 
2.0%
66 4
 
2.0%
99 4
 
2.0%
119 4
 
2.0%
55 3
 
1.5%
63 3
 
1.5%
60 3
 
1.5%
88 3
 
1.5%
Other values (126) 162
81.4%
ValueCountFrequency (%)
6 1
0.5%
8 1
0.5%
11 1
0.5%
14 1
0.5%
29 1
0.5%
36 2
1.0%
40 1
0.5%
41 1
0.5%
42 1
0.5%
44 1
0.5%
ValueCountFrequency (%)
669 1
0.5%
656 1
0.5%
538 1
0.5%
446 1
0.5%
419 1
0.5%
403 1
0.5%
385 1
0.5%
375 1
0.5%
358 1
0.5%
354 1
0.5%

2
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.643216
Minimum1
Maximum133
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:34.572587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q110
median17
Q329
95-th percentile55.3
Maximum133
Range132
Interquartile range (IQR)19

Descriptive statistics

Standard deviation18.327226
Coefficient of variation (CV)0.80939147
Kurtosis11.337234
Mean22.643216
Median Absolute Deviation (MAD)8
Skewness2.7145658
Sum4506
Variance335.88721
MonotonicityNot monotonic
2023-12-10T15:42:34.849178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 17
 
8.5%
16 12
 
6.0%
10 10
 
5.0%
8 10
 
5.0%
17 9
 
4.5%
12 9
 
4.5%
24 8
 
4.0%
20 8
 
4.0%
18 8
 
4.0%
15 7
 
3.5%
Other values (41) 101
50.8%
ValueCountFrequency (%)
1 3
 
1.5%
3 1
 
0.5%
5 1
 
0.5%
6 3
 
1.5%
7 6
 
3.0%
8 10
5.0%
9 17
8.5%
10 10
5.0%
11 4
 
2.0%
12 9
4.5%
ValueCountFrequency (%)
133 1
0.5%
127 1
0.5%
82 1
0.5%
73 1
0.5%
66 1
0.5%
65 2
1.0%
63 1
0.5%
62 1
0.5%
58 1
0.5%
55 1
0.5%

2.1
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.045226
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:35.080480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q112
median18
Q328
95-th percentile61.4
Maximum98
Range97
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.087504
Coefficient of variation (CV)0.74147695
Kurtosis4.0972804
Mean23.045226
Median Absolute Deviation (MAD)7
Skewness1.9010598
Sum4586
Variance291.98279
MonotonicityNot monotonic
2023-12-10T15:42:35.318519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 12
 
6.0%
9 11
 
5.5%
12 11
 
5.5%
17 9
 
4.5%
13 9
 
4.5%
22 8
 
4.0%
14 8
 
4.0%
15 8
 
4.0%
19 7
 
3.5%
11 7
 
3.5%
Other values (43) 109
54.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 2
 
1.0%
6 2
 
1.0%
7 4
 
2.0%
8 7
3.5%
9 11
5.5%
10 12
6.0%
11 7
3.5%
12 11
5.5%
13 9
4.5%
ValueCountFrequency (%)
98 1
0.5%
95 1
0.5%
79 1
0.5%
77 1
0.5%
74 2
1.0%
68 2
1.0%
65 2
1.0%
61 1
0.5%
57 1
0.5%
56 1
0.5%

4.1
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.572864
Minimum1
Maximum112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:35.584972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q114
median20
Q333
95-th percentile69
Maximum112
Range111
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.432179
Coefficient of variation (CV)0.73127903
Kurtosis3.8880526
Mean26.572864
Median Absolute Deviation (MAD)9
Skewness1.801355
Sum5288
Variance377.60956
MonotonicityNot monotonic
2023-12-10T15:42:35.823488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 11
 
5.5%
11 10
 
5.0%
15 10
 
5.0%
24 9
 
4.5%
10 9
 
4.5%
19 8
 
4.0%
14 7
 
3.5%
20 7
 
3.5%
17 7
 
3.5%
9 7
 
3.5%
Other values (51) 114
57.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 3
 
1.5%
6 1
 
0.5%
7 4
 
2.0%
8 3
 
1.5%
9 7
3.5%
10 9
4.5%
11 10
5.0%
12 5
2.5%
13 4
 
2.0%
ValueCountFrequency (%)
112 1
0.5%
105 1
0.5%
104 1
0.5%
82 1
0.5%
80 1
0.5%
78 1
0.5%
74 1
0.5%
73 1
0.5%
70 1
0.5%
69 2
1.0%

2.2
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.909548
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:36.065438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q111
median17
Q324
95-th percentile48.1
Maximum138
Range137
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.847182
Coefficient of variation (CV)0.75789217
Kurtosis15.72695
Mean20.909548
Median Absolute Deviation (MAD)7
Skewness2.9908395
Sum4161
Variance251.13319
MonotonicityNot monotonic
2023-12-10T15:42:36.309338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
20 12
 
6.0%
15 10
 
5.0%
14 9
 
4.5%
9 9
 
4.5%
12 9
 
4.5%
16 8
 
4.0%
19 8
 
4.0%
11 8
 
4.0%
17 8
 
4.0%
Other values (41) 104
52.3%
ValueCountFrequency (%)
1 3
 
1.5%
2 1
 
0.5%
4 2
 
1.0%
5 3
 
1.5%
6 1
 
0.5%
7 14
7.0%
8 4
 
2.0%
9 9
4.5%
10 8
4.0%
11 8
4.0%
ValueCountFrequency (%)
138 1
0.5%
80 1
0.5%
72 1
0.5%
67 1
0.5%
64 1
0.5%
61 1
0.5%
58 1
0.5%
54 1
0.5%
51 1
0.5%
49 1
0.5%

1.1
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum0
Maximum100
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:36.545093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q110
median17
Q327
95-th percentile50.3
Maximum100
Range100
Interquartile range (IQR)17

Descriptive statistics

Standard deviation16.415686
Coefficient of variation (CV)0.78169933
Kurtosis5.1504112
Mean21
Median Absolute Deviation (MAD)9
Skewness1.8877382
Sum4179
Variance269.47475
MonotonicityNot monotonic
2023-12-10T15:42:36.789505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 10
 
5.0%
26 10
 
5.0%
14 9
 
4.5%
17 9
 
4.5%
5 8
 
4.0%
6 8
 
4.0%
7 7
 
3.5%
11 7
 
3.5%
22 7
 
3.5%
21 7
 
3.5%
Other values (42) 117
58.8%
ValueCountFrequency (%)
0 3
 
1.5%
2 5
2.5%
3 2
 
1.0%
4 6
3.0%
5 8
4.0%
6 8
4.0%
7 7
3.5%
8 5
2.5%
9 5
2.5%
10 4
2.0%
ValueCountFrequency (%)
100 1
0.5%
92 1
0.5%
85 1
0.5%
79 1
0.5%
65 2
1.0%
58 1
0.5%
56 1
0.5%
55 1
0.5%
53 1
0.5%
50 2
1.0%

3.4
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.768844
Minimum1
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:36.997398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q113
median20
Q335
95-th percentile90
Maximum312
Range311
Interquartile range (IQR)22

Descriptive statistics

Standard deviation33.124297
Coefficient of variation (CV)1.0765532
Kurtosis27.352606
Mean30.768844
Median Absolute Deviation (MAD)10
Skewness4.1396868
Sum6123
Variance1097.219
MonotonicityNot monotonic
2023-12-10T15:42:37.635711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13
 
6.5%
10 12
 
6.0%
16 9
 
4.5%
13 9
 
4.5%
22 9
 
4.5%
15 8
 
4.0%
20 7
 
3.5%
11 7
 
3.5%
14 6
 
3.0%
18 5
 
2.5%
Other values (60) 114
57.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
5 1
 
0.5%
6 3
 
1.5%
7 1
 
0.5%
8 5
 
2.5%
9 13
6.5%
10 12
6.0%
11 7
3.5%
ValueCountFrequency (%)
312 1
0.5%
164 1
0.5%
147 1
0.5%
121 1
0.5%
114 1
0.5%
100 1
0.5%
97 1
0.5%
94 1
0.5%
91 1
0.5%
90 2
1.0%

3.5
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.633166
Minimum1
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:37.986211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q113
median19
Q334
95-th percentile74.1
Maximum125
Range124
Interquartile range (IQR)21

Descriptive statistics

Standard deviation21.54092
Coefficient of variation (CV)0.80880057
Kurtosis4.361192
Mean26.633166
Median Absolute Deviation (MAD)8
Skewness1.9287279
Sum5300
Variance464.01122
MonotonicityNot monotonic
2023-12-10T15:42:38.290448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 10
 
5.0%
13 10
 
5.0%
12 9
 
4.5%
14 9
 
4.5%
10 8
 
4.0%
8 8
 
4.0%
19 8
 
4.0%
11 7
 
3.5%
18 7
 
3.5%
39 6
 
3.0%
Other values (53) 117
58.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%
5 2
 
1.0%
6 3
 
1.5%
7 3
 
1.5%
8 8
4.0%
9 4
2.0%
10 8
4.0%
11 7
3.5%
ValueCountFrequency (%)
125 1
 
0.5%
117 1
 
0.5%
113 1
 
0.5%
83 3
1.5%
78 1
 
0.5%
77 1
 
0.5%
76 1
 
0.5%
75 1
 
0.5%
74 1
 
0.5%
68 2
1.0%

7.2
Real number (ℝ)

Distinct73
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.758794
Minimum1
Maximum326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:38.525294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q114
median22
Q340
95-th percentile82.6
Maximum326
Range325
Interquartile range (IQR)26

Descriptive statistics

Standard deviation32.984877
Coefficient of variation (CV)1.0386061
Kurtosis33.490886
Mean31.758794
Median Absolute Deviation (MAD)11
Skewness4.6101828
Sum6320
Variance1088.0021
MonotonicityNot monotonic
2023-12-10T15:42:38.728750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 11
 
5.5%
15 11
 
5.5%
18 10
 
5.0%
16 8
 
4.0%
17 8
 
4.0%
14 8
 
4.0%
9 7
 
3.5%
10 6
 
3.0%
35 5
 
2.5%
40 5
 
2.5%
Other values (63) 120
60.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
6 3
 
1.5%
7 1
 
0.5%
8 4
 
2.0%
9 7
3.5%
10 6
3.0%
11 11
5.5%
ValueCountFrequency (%)
326 1
0.5%
168 1
0.5%
157 1
0.5%
118 1
0.5%
112 1
0.5%
104 1
0.5%
101 1
0.5%
89 2
1.0%
88 1
0.5%
82 1
0.5%

211
Real number (ℝ)

Distinct94
Distinct (%)47.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.251256
Minimum6
Maximum429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:38.958444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile13.9
Q123
median35
Q360.5
95-th percentile174.3
Maximum429
Range423
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation61.849746
Coefficient of variation (CV)1.0995265
Kurtosis11.915028
Mean56.251256
Median Absolute Deviation (MAD)15
Skewness3.1384079
Sum11194
Variance3825.3911
MonotonicityNot monotonic
2023-12-10T15:42:39.167660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 7
 
3.5%
34 7
 
3.5%
23 6
 
3.0%
29 6
 
3.0%
18 6
 
3.0%
31 6
 
3.0%
20 6
 
3.0%
35 5
 
2.5%
28 5
 
2.5%
21 5
 
2.5%
Other values (84) 140
70.4%
ValueCountFrequency (%)
6 1
 
0.5%
7 1
 
0.5%
11 2
 
1.0%
12 3
1.5%
13 3
1.5%
14 2
 
1.0%
15 2
 
1.0%
16 4
2.0%
17 7
3.5%
18 6
3.0%
ValueCountFrequency (%)
429 1
0.5%
343 1
0.5%
330 1
0.5%
310 1
0.5%
289 1
0.5%
217 1
0.5%
207 1
0.5%
206 1
0.5%
187 1
0.5%
186 1
0.5%

4.2
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.743719
Minimum1
Maximum200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:39.396396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median20
Q330.5
95-th percentile57.5
Maximum200
Range199
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation20.425021
Coefficient of variation (CV)0.82546285
Kurtosis27.804041
Mean24.743719
Median Absolute Deviation (MAD)9
Skewness3.9937737
Sum4924
Variance417.18146
MonotonicityNot monotonic
2023-12-10T15:42:39.646058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 12
 
6.0%
11 11
 
5.5%
19 10
 
5.0%
13 9
 
4.5%
12 8
 
4.0%
22 8
 
4.0%
21 7
 
3.5%
20 7
 
3.5%
27 6
 
3.0%
8 6
 
3.0%
Other values (49) 115
57.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 5
2.5%
8 6
3.0%
9 4
 
2.0%
10 12
6.0%
ValueCountFrequency (%)
200 1
0.5%
100 1
0.5%
87 1
0.5%
82 1
0.5%
74 1
0.5%
72 1
0.5%
67 1
0.5%
65 1
0.5%
63 1
0.5%
62 1
0.5%

2.3
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.090452
Minimum1
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:39.932360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q114
median23
Q334
95-th percentile60.1
Maximum120
Range119
Interquartile range (IQR)20

Descriptive statistics

Standard deviation19.451101
Coefficient of variation (CV)0.74552562
Kurtosis5.1085889
Mean26.090452
Median Absolute Deviation (MAD)10
Skewness1.8137467
Sum5192
Variance378.34531
MonotonicityNot monotonic
2023-12-10T15:42:40.185212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 10
 
5.0%
23 10
 
5.0%
14 7
 
3.5%
17 7
 
3.5%
10 7
 
3.5%
32 6
 
3.0%
27 6
 
3.0%
21 6
 
3.0%
38 6
 
3.0%
28 5
 
2.5%
Other values (53) 129
64.8%
ValueCountFrequency (%)
1 3
 
1.5%
2 3
 
1.5%
3 3
 
1.5%
4 5
2.5%
5 4
 
2.0%
6 4
 
2.0%
7 10
5.0%
8 2
 
1.0%
9 3
 
1.5%
10 7
3.5%
ValueCountFrequency (%)
120 1
0.5%
113 1
0.5%
96 1
0.5%
93 1
0.5%
80 2
1.0%
73 1
0.5%
68 1
0.5%
67 1
0.5%
61 1
0.5%
60 1
0.5%

104
Real number (ℝ)

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.638191
Minimum2
Maximum459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:40.393080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile25.9
Q144.5
median67
Q3110
95-th percentile227.1
Maximum459
Range457
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation65.899907
Coefficient of variation (CV)0.76063346
Kurtosis7.2877417
Mean86.638191
Median Absolute Deviation (MAD)32
Skewness2.1884941
Sum17241
Variance4342.7977
MonotonicityNot monotonic
2023-12-10T15:42:40.604347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 7
 
3.5%
54 6
 
3.0%
35 5
 
2.5%
52 4
 
2.0%
46 4
 
2.0%
70 4
 
2.0%
49 4
 
2.0%
53 4
 
2.0%
33 4
 
2.0%
34 4
 
2.0%
Other values (103) 153
76.9%
ValueCountFrequency (%)
2 2
1.0%
3 1
0.5%
6 2
1.0%
18 1
0.5%
20 1
0.5%
21 1
0.5%
22 1
0.5%
25 1
0.5%
26 1
0.5%
27 2
1.0%
ValueCountFrequency (%)
459 1
0.5%
401 1
0.5%
300 1
0.5%
264 1
0.5%
244 1
0.5%
243 1
0.5%
242 1
0.5%
235 1
0.5%
229 1
0.5%
228 1
0.5%

165
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.8392
Minimum2
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:40.797017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile27.8
Q148.5
median74
Q3126
95-th percentile262
Maximum551
Range549
Interquartile range (IQR)77.5

Descriptive statistics

Standard deviation91.246886
Coefficient of variation (CV)0.87873259
Kurtosis7.8390739
Mean103.8392
Median Absolute Deviation (MAD)35
Skewness2.4719863
Sum20664
Variance8325.9942
MonotonicityNot monotonic
2023-12-10T15:42:40.992239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
3.0%
70 5
 
2.5%
61 5
 
2.5%
58 5
 
2.5%
88 4
 
2.0%
34 3
 
1.5%
74 3
 
1.5%
110 3
 
1.5%
31 3
 
1.5%
71 3
 
1.5%
Other values (108) 159
79.9%
ValueCountFrequency (%)
2 2
1.0%
4 1
0.5%
6 1
0.5%
7 1
0.5%
22 2
1.0%
23 1
0.5%
25 1
0.5%
26 1
0.5%
28 1
0.5%
30 2
1.0%
ValueCountFrequency (%)
551 1
0.5%
548 1
0.5%
517 1
0.5%
419 1
0.5%
418 1
0.5%
397 1
0.5%
287 1
0.5%
284 1
0.5%
273 1
0.5%
262 2
1.0%

22.1
Real number (ℝ)

ZEROS 

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.748744
Minimum0
Maximum109
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:41.214580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q18
median12
Q325
95-th percentile57.3
Maximum109
Range109
Interquartile range (IQR)17

Descriptive statistics

Standard deviation19.070237
Coefficient of variation (CV)0.96564303
Kurtosis5.6339941
Mean19.748744
Median Absolute Deviation (MAD)6
Skewness2.1666608
Sum3930
Variance363.67393
MonotonicityNot monotonic
2023-12-10T15:42:41.412925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
9 15
 
7.5%
11 13
 
6.5%
6 12
 
6.0%
10 12
 
6.0%
8 12
 
6.0%
17 9
 
4.5%
7 8
 
4.0%
12 7
 
3.5%
21 5
 
2.5%
Other values (50) 90
45.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
3 1
 
0.5%
4 4
 
2.0%
5 16
8.0%
6 12
6.0%
7 8
4.0%
8 12
6.0%
9 15
7.5%
10 12
6.0%
ValueCountFrequency (%)
109 1
0.5%
105 1
0.5%
102 1
0.5%
79 1
0.5%
75 1
0.5%
70 1
0.5%
67 1
0.5%
66 1
0.5%
62 1
0.5%
60 1
0.5%

23.1
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.356784
Minimum0
Maximum119
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:41.592145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median13
Q323
95-th percentile49.6
Maximum119
Range119
Interquartile range (IQR)15

Descriptive statistics

Standard deviation16.016353
Coefficient of variation (CV)0.87250324
Kurtosis9.8550396
Mean18.356784
Median Absolute Deviation (MAD)6
Skewness2.5181857
Sum3653
Variance256.52358
MonotonicityNot monotonic
2023-12-10T15:42:41.785246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
8 14
 
7.0%
5 12
 
6.0%
10 11
 
5.5%
7 11
 
5.5%
6 11
 
5.5%
11 10
 
5.0%
12 10
 
5.0%
17 9
 
4.5%
13 9
 
4.5%
9 9
 
4.5%
Other values (37) 93
46.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
3 1
 
0.5%
4 2
 
1.0%
5 12
6.0%
6 11
5.5%
7 11
5.5%
8 14
7.0%
9 9
4.5%
10 11
5.5%
ValueCountFrequency (%)
119 1
 
0.5%
95 1
 
0.5%
63 1
 
0.5%
58 4
2.0%
56 1
 
0.5%
55 2
1.0%
49 2
1.0%
45 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%

33.2
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.266332
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:41.992221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median14
Q326.5
95-th percentile49.7
Maximum126
Range125
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation18.556069
Coefficient of variation (CV)0.91561065
Kurtosis10.412232
Mean20.266332
Median Absolute Deviation (MAD)7
Skewness2.7317356
Sum4033
Variance344.3277
MonotonicityNot monotonic
2023-12-10T15:42:42.224800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 14
 
7.0%
8 13
 
6.5%
10 13
 
6.5%
9 11
 
5.5%
11 9
 
4.5%
22 8
 
4.0%
12 8
 
4.0%
14 8
 
4.0%
16 7
 
3.5%
7 7
 
3.5%
Other values (44) 101
50.8%
ValueCountFrequency (%)
1 3
 
1.5%
2 2
 
1.0%
4 3
 
1.5%
5 6
3.0%
6 14
7.0%
7 7
3.5%
8 13
6.5%
9 11
5.5%
10 13
6.5%
11 9
4.5%
ValueCountFrequency (%)
126 1
0.5%
115 1
0.5%
108 1
0.5%
81 1
0.5%
68 1
0.5%
66 1
0.5%
65 1
0.5%
63 1
0.5%
59 1
0.5%
56 1
0.5%

19
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.984925
Minimum0
Maximum125
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:42.378023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median12
Q318.5
95-th percentile34.1
Maximum125
Range125
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation13.275053
Coefficient of variation (CV)0.88589391
Kurtosis26.140085
Mean14.984925
Median Absolute Deviation (MAD)5
Skewness4.0326356
Sum2982
Variance176.22704
MonotonicityNot monotonic
2023-12-10T15:42:42.517048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 17
 
8.5%
6 16
 
8.0%
13 13
 
6.5%
12 13
 
6.5%
8 11
 
5.5%
9 11
 
5.5%
11 10
 
5.0%
16 9
 
4.5%
18 8
 
4.0%
10 8
 
4.0%
Other values (30) 83
41.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
3 3
 
1.5%
4 7
3.5%
5 6
 
3.0%
6 16
8.0%
7 17
8.5%
8 11
5.5%
9 11
5.5%
10 8
4.0%
ValueCountFrequency (%)
125 1
0.5%
74 1
0.5%
71 1
0.5%
51 1
0.5%
43 1
0.5%
42 2
1.0%
39 1
0.5%
36 1
0.5%
35 1
0.5%
34 2
1.0%

7.3
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.934673
Minimum0
Maximum58
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:42.677168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q316.5
95-th percentile31
Maximum58
Range58
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.7073727
Coefficient of variation (CV)0.75049229
Kurtosis4.4563577
Mean12.934673
Median Absolute Deviation (MAD)5
Skewness1.744715
Sum2574
Variance94.233085
MonotonicityNot monotonic
2023-12-10T15:42:42.831458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 18
 
9.0%
15 14
 
7.0%
11 14
 
7.0%
10 11
 
5.5%
5 11
 
5.5%
2 10
 
5.0%
12 10
 
5.0%
8 9
 
4.5%
13 9
 
4.5%
18 8
 
4.0%
Other values (27) 85
42.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 10
5.0%
3 8
4.0%
4 8
4.0%
5 11
5.5%
6 4
 
2.0%
7 18
9.0%
8 9
4.5%
9 7
 
3.5%
ValueCountFrequency (%)
58 1
0.5%
54 1
0.5%
50 1
0.5%
47 1
0.5%
38 2
1.0%
34 1
0.5%
33 1
0.5%
32 1
0.5%
31 2
1.0%
30 1
0.5%

38.1
Real number (ℝ)

Distinct73
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.437186
Minimum1
Maximum303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:42.995983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median14
Q335
95-th percentile101.5
Maximum303
Range302
Interquartile range (IQR)26

Descriptive statistics

Standard deviation39.003688
Coefficient of variation (CV)1.2814486
Kurtosis14.282357
Mean30.437186
Median Absolute Deviation (MAD)8
Skewness3.1694403
Sum6057
Variance1521.2877
MonotonicityNot monotonic
2023-12-10T15:42:43.204848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
6.5%
10 12
 
6.0%
8 12
 
6.0%
6 10
 
5.0%
9 10
 
5.0%
13 10
 
5.0%
12 8
 
4.0%
14 6
 
3.0%
19 5
 
2.5%
32 5
 
2.5%
Other values (63) 108
54.3%
ValueCountFrequency (%)
1 3
 
1.5%
2 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 13
6.5%
6 10
5.0%
7 5
 
2.5%
8 12
6.0%
9 10
5.0%
10 12
6.0%
ValueCountFrequency (%)
303 1
0.5%
196 1
0.5%
171 1
0.5%
162 1
0.5%
157 1
0.5%
135 1
0.5%
118 1
0.5%
113 2
1.0%
106 1
0.5%
101 1
0.5%

14
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3467337
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:43.417916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median5
Q310
95-th percentile30
Maximum128
Range127
Interquartile range (IQR)6

Descriptive statistics

Standard deviation12.839545
Coefficient of variation (CV)1.3736933
Kurtosis40.460898
Mean9.3467337
Median Absolute Deviation (MAD)2
Skewness5.4005952
Sum1860
Variance164.85392
MonotonicityNot monotonic
2023-12-10T15:42:43.969370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 32
16.1%
5 29
14.6%
4 23
11.6%
6 17
8.5%
7 16
 
8.0%
2 13
 
6.5%
10 8
 
4.0%
8 8
 
4.0%
11 7
 
3.5%
9 6
 
3.0%
Other values (24) 40
20.1%
ValueCountFrequency (%)
1 3
 
1.5%
2 13
6.5%
3 32
16.1%
4 23
11.6%
5 29
14.6%
6 17
8.5%
7 16
8.0%
8 8
 
4.0%
9 6
 
3.0%
10 8
 
4.0%
ValueCountFrequency (%)
128 1
 
0.5%
72 1
 
0.5%
61 1
 
0.5%
51 1
 
0.5%
42 1
 
0.5%
38 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 3
1.5%
27 1
 
0.5%

26.1
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.949749
Minimum0
Maximum130
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:44.192978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median13
Q325.5
95-th percentile49.2
Maximum130
Range130
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation18.66714
Coefficient of variation (CV)0.93570802
Kurtosis8.0587231
Mean19.949749
Median Absolute Deviation (MAD)7
Skewness2.3925983
Sum3970
Variance348.46211
MonotonicityNot monotonic
2023-12-10T15:42:44.371027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
10 13
 
6.5%
5 11
 
5.5%
8 11
 
5.5%
11 9
 
4.5%
16 8
 
4.0%
12 8
 
4.0%
6 8
 
4.0%
15 7
 
3.5%
4 7
 
3.5%
Other values (46) 103
51.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
3 1
 
0.5%
4 7
3.5%
5 11
5.5%
6 8
4.0%
7 14
7.0%
8 11
5.5%
9 6
3.0%
10 13
6.5%
ValueCountFrequency (%)
130 1
0.5%
93 1
0.5%
91 1
0.5%
86 1
0.5%
81 1
0.5%
67 1
0.5%
65 1
0.5%
60 1
0.5%
58 1
0.5%
51 1
0.5%

54
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.291457
Minimum1
Maximum278
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:44.525503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median15
Q326
95-th percentile59
Maximum278
Range277
Interquartile range (IQR)17

Descriptive statistics

Standard deviation27.549505
Coefficient of variation (CV)1.2358773
Kurtosis40.465715
Mean22.291457
Median Absolute Deviation (MAD)8
Skewness5.2695009
Sum4436
Variance758.97523
MonotonicityNot monotonic
2023-12-10T15:42:44.693220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
10 13
 
6.5%
8 12
 
6.0%
5 10
 
5.0%
6 10
 
5.0%
17 8
 
4.0%
16 7
 
3.5%
15 7
 
3.5%
12 7
 
3.5%
13 7
 
3.5%
Other values (48) 104
52.3%
ValueCountFrequency (%)
1 3
 
1.5%
2 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 10
5.0%
6 10
5.0%
7 7
3.5%
8 12
6.0%
9 14
7.0%
10 13
6.5%
ValueCountFrequency (%)
278 1
0.5%
159 1
0.5%
117 1
0.5%
99 1
0.5%
94 1
0.5%
88 1
0.5%
72 1
0.5%
69 1
0.5%
63 1
0.5%
59 2
1.0%

33.3
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.417085
Minimum0
Maximum169
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:44.905773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median12
Q320
95-th percentile42.1
Maximum169
Range169
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.197391
Coefficient of variation (CV)0.98661792
Kurtosis40.541048
Mean16.417085
Median Absolute Deviation (MAD)5
Skewness5.0667183
Sum3267
Variance262.35546
MonotonicityNot monotonic
2023-12-10T15:42:45.092820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
7 19
 
9.5%
9 13
 
6.5%
11 13
 
6.5%
14 13
 
6.5%
12 12
 
6.0%
13 11
 
5.5%
5 10
 
5.0%
10 9
 
4.5%
8 9
 
4.5%
6 8
 
4.0%
Other values (38) 82
41.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 10
5.0%
6 8
4.0%
7 19
9.5%
8 9
4.5%
9 13
6.5%
10 9
4.5%
ValueCountFrequency (%)
169 1
0.5%
74 1
0.5%
69 1
0.5%
67 1
0.5%
55 1
0.5%
52 1
0.5%
45 1
0.5%
44 1
0.5%
43 2
1.0%
42 1
0.5%

14.1
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.090452
Minimum0
Maximum71
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:45.342426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q320
95-th percentile36.1
Maximum71
Range71
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.753437
Coefficient of variation (CV)0.77886582
Kurtosis4.5162345
Mean15.090452
Median Absolute Deviation (MAD)7
Skewness1.7294886
Sum3003
Variance138.14329
MonotonicityNot monotonic
2023-12-10T15:42:45.662578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
9 11
 
5.5%
19 10
 
5.0%
4 10
 
5.0%
13 10
 
5.0%
6 9
 
4.5%
2 9
 
4.5%
3 9
 
4.5%
14 9
 
4.5%
11 8
 
4.0%
15 8
 
4.0%
Other values (34) 106
53.3%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 9
4.5%
3 9
4.5%
4 10
5.0%
5 6
3.0%
6 9
4.5%
7 7
3.5%
8 6
3.0%
9 11
5.5%
ValueCountFrequency (%)
71 1
0.5%
66 1
0.5%
56 1
0.5%
55 1
0.5%
47 2
1.0%
43 1
0.5%
40 1
0.5%
39 1
0.5%
37 1
0.5%
36 1
0.5%

106
Real number (ℝ)

Distinct98
Distinct (%)49.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.025126
Minimum15
Maximum259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:45.875499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile22
Q139
median57
Q380.5
95-th percentile157.3
Maximum259
Range244
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation42.110057
Coefficient of variation (CV)0.61903682
Kurtosis3.1871707
Mean68.025126
Median Absolute Deviation (MAD)20
Skewness1.6496755
Sum13537
Variance1773.2569
MonotonicityNot monotonic
2023-12-10T15:42:46.096439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 6
 
3.0%
57 6
 
3.0%
28 5
 
2.5%
68 5
 
2.5%
59 5
 
2.5%
75 5
 
2.5%
39 5
 
2.5%
27 5
 
2.5%
55 4
 
2.0%
52 4
 
2.0%
Other values (88) 149
74.9%
ValueCountFrequency (%)
15 2
1.0%
16 1
 
0.5%
19 2
1.0%
20 2
1.0%
21 1
 
0.5%
22 3
1.5%
23 1
 
0.5%
24 1
 
0.5%
25 1
 
0.5%
26 2
1.0%
ValueCountFrequency (%)
259 1
0.5%
214 1
0.5%
208 1
0.5%
200 1
0.5%
188 1
0.5%
179 1
0.5%
178 1
0.5%
171 1
0.5%
162 1
0.5%
160 1
0.5%

144
Real number (ℝ)

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.457286
Minimum10
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:46.308558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q140
median61
Q388
95-th percentile175.5
Maximum262
Range252
Interquartile range (IQR)48

Descriptive statistics

Standard deviation48.829294
Coefficient of variation (CV)0.66473043
Kurtosis2.5032981
Mean73.457286
Median Absolute Deviation (MAD)23
Skewness1.5566297
Sum14618
Variance2384.2999
MonotonicityNot monotonic
2023-12-10T15:42:46.489526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38 9
 
4.5%
57 7
 
3.5%
48 5
 
2.5%
28 4
 
2.0%
59 4
 
2.0%
72 4
 
2.0%
149 4
 
2.0%
51 4
 
2.0%
44 4
 
2.0%
21 4
 
2.0%
Other values (93) 150
75.4%
ValueCountFrequency (%)
10 1
 
0.5%
15 3
1.5%
17 1
 
0.5%
19 3
1.5%
20 3
1.5%
21 4
2.0%
22 2
1.0%
23 2
1.0%
25 1
 
0.5%
26 1
 
0.5%
ValueCountFrequency (%)
262 1
0.5%
246 1
0.5%
238 1
0.5%
235 1
0.5%
225 1
0.5%
206 1
0.5%
201 1
0.5%
183 1
0.5%
181 1
0.5%
180 1
0.5%

30.1
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.487437
Minimum3
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:46.711536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q318
95-th percentile35
Maximum72
Range69
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.943202
Coefficient of variation (CV)0.68633271
Kurtosis6.2573214
Mean14.487437
Median Absolute Deviation (MAD)5
Skewness2.0412165
Sum2883
Variance98.867266
MonotonicityNot monotonic
2023-12-10T15:42:46.915156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 18
 
9.0%
11 14
 
7.0%
10 14
 
7.0%
12 13
 
6.5%
7 13
 
6.5%
8 12
 
6.0%
5 10
 
5.0%
13 10
 
5.0%
15 8
 
4.0%
14 8
 
4.0%
Other values (29) 79
39.7%
ValueCountFrequency (%)
3 3
 
1.5%
4 5
 
2.5%
5 10
5.0%
6 18
9.0%
7 13
6.5%
8 12
6.0%
9 7
 
3.5%
10 14
7.0%
11 14
7.0%
12 13
6.5%
ValueCountFrequency (%)
72 1
0.5%
49 1
0.5%
47 1
0.5%
43 1
0.5%
41 1
0.5%
40 1
0.5%
38 2
1.0%
36 1
0.5%
35 2
1.0%
34 2
1.0%

26.2
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.909548
Minimum3
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:47.090330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median11
Q316
95-th percentile34.2
Maximum58
Range55
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.6447955
Coefficient of variation (CV)0.6933939
Kurtosis4.103094
Mean13.909548
Median Absolute Deviation (MAD)4
Skewness1.9135539
Sum2768
Variance93.02208
MonotonicityNot monotonic
2023-12-10T15:42:47.280759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 23
 
11.6%
8 15
 
7.5%
12 14
 
7.0%
10 13
 
6.5%
11 13
 
6.5%
9 13
 
6.5%
13 11
 
5.5%
14 9
 
4.5%
5 8
 
4.0%
15 8
 
4.0%
Other values (27) 72
36.2%
ValueCountFrequency (%)
3 3
 
1.5%
4 6
 
3.0%
5 8
 
4.0%
6 23
11.6%
7 8
 
4.0%
8 15
7.5%
9 13
6.5%
10 13
6.5%
11 13
6.5%
12 14
7.0%
ValueCountFrequency (%)
58 1
 
0.5%
50 1
 
0.5%
47 1
 
0.5%
46 1
 
0.5%
45 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
36 3
1.5%
34 2
1.0%
32 3
1.5%

30.2
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.100503
Minimum3
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:47.513635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18.5
median12
Q318
95-th percentile36.1
Maximum49
Range46
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.6828469
Coefficient of variation (CV)0.6412268
Kurtosis1.8176495
Mean15.100503
Median Absolute Deviation (MAD)5
Skewness1.464495
Sum3005
Variance93.757525
MonotonicityNot monotonic
2023-12-10T15:42:47.754765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
11 18
 
9.0%
9 15
 
7.5%
10 14
 
7.0%
7 13
 
6.5%
6 13
 
6.5%
8 12
 
6.0%
14 9
 
4.5%
13 9
 
4.5%
16 9
 
4.5%
12 8
 
4.0%
Other values (29) 79
39.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 5
 
2.5%
5 5
 
2.5%
6 13
6.5%
7 13
6.5%
8 12
6.0%
9 15
7.5%
10 14
7.0%
11 18
9.0%
12 8
4.0%
ValueCountFrequency (%)
49 1
0.5%
47 1
0.5%
45 2
1.0%
44 1
0.5%
43 1
0.5%
40 2
1.0%
39 1
0.5%
37 1
0.5%
36 2
1.0%
33 1
0.5%

16.1
Real number (ℝ)

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.879397
Minimum2
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:47.944273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q314.5
95-th percentile28
Maximum49
Range47
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation7.9813879
Coefficient of variation (CV)0.6718681
Kurtosis3.1973688
Mean11.879397
Median Absolute Deviation (MAD)4
Skewness1.6146356
Sum2364
Variance63.702553
MonotonicityNot monotonic
2023-12-10T15:42:48.155285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 24
 
12.1%
8 16
 
8.0%
4 15
 
7.5%
11 15
 
7.5%
5 13
 
6.5%
13 13
 
6.5%
6 11
 
5.5%
9 9
 
4.5%
14 9
 
4.5%
12 8
 
4.0%
Other values (23) 66
33.2%
ValueCountFrequency (%)
2 5
 
2.5%
3 4
 
2.0%
4 15
7.5%
5 13
6.5%
6 11
5.5%
7 24
12.1%
8 16
8.0%
9 9
 
4.5%
10 7
 
3.5%
11 15
7.5%
ValueCountFrequency (%)
49 1
 
0.5%
40 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 1
 
0.5%
30 2
1.0%
29 2
1.0%
28 3
1.5%
27 2
1.0%
25 2
1.0%

21.2
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6180905
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:48.350266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q310
95-th percentile27.1
Maximum57
Range56
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.117236
Coefficient of variation (CV)1.0518965
Kurtosis8.8727395
Mean9.6180905
Median Absolute Deviation (MAD)2
Skewness2.8251227
Sum1914
Variance102.35846
MonotonicityNot monotonic
2023-12-10T15:42:48.545335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 29
14.6%
6 26
13.1%
5 23
11.6%
3 21
10.6%
7 17
 
8.5%
2 9
 
4.5%
8 8
 
4.0%
9 8
 
4.0%
10 7
 
3.5%
11 5
 
2.5%
Other values (24) 46
23.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 9
 
4.5%
3 21
10.6%
4 29
14.6%
5 23
11.6%
6 26
13.1%
7 17
8.5%
8 8
 
4.0%
9 8
 
4.0%
10 7
 
3.5%
ValueCountFrequency (%)
57 1
0.5%
55 1
0.5%
54 1
0.5%
53 2
1.0%
45 1
0.5%
36 2
1.0%
35 1
0.5%
28 1
0.5%
27 2
1.0%
26 1
0.5%

4.3
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.306533
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:48.764604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median10
Q317
95-th percentile33
Maximum63
Range62
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.015669
Coefficient of variation (CV)0.89510742
Kurtosis3.6159423
Mean12.306533
Median Absolute Deviation (MAD)7
Skewness1.6279285
Sum2449
Variance121.34496
MonotonicityNot monotonic
2023-12-10T15:42:48.998676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2 25
 
12.6%
3 15
 
7.5%
1 12
 
6.0%
17 11
 
5.5%
4 11
 
5.5%
14 10
 
5.0%
5 9
 
4.5%
8 8
 
4.0%
19 8
 
4.0%
10 7
 
3.5%
Other values (29) 83
41.7%
ValueCountFrequency (%)
1 12
6.0%
2 25
12.6%
3 15
7.5%
4 11
5.5%
5 9
 
4.5%
6 5
 
2.5%
7 5
 
2.5%
8 8
 
4.0%
9 6
 
3.0%
10 7
 
3.5%
ValueCountFrequency (%)
63 1
 
0.5%
56 1
 
0.5%
55 1
 
0.5%
42 1
 
0.5%
40 1
 
0.5%
39 2
1.0%
37 1
 
0.5%
35 1
 
0.5%
33 2
1.0%
32 4
2.0%

58
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.59799
Minimum4
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:49.226580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.9
Q18.5
median14
Q324
95-th percentile54.1
Maximum104
Range100
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation16.678456
Coefficient of variation (CV)0.85102892
Kurtosis5.7650118
Mean19.59799
Median Absolute Deviation (MAD)6
Skewness2.1700326
Sum3900
Variance278.17091
MonotonicityNot monotonic
2023-12-10T15:42:49.466060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 19
 
9.5%
6 14
 
7.0%
10 14
 
7.0%
11 12
 
6.0%
14 9
 
4.5%
15 9
 
4.5%
12 9
 
4.5%
13 7
 
3.5%
9 7
 
3.5%
7 7
 
3.5%
Other values (42) 92
46.2%
ValueCountFrequency (%)
4 4
 
2.0%
5 6
 
3.0%
6 14
7.0%
7 7
 
3.5%
8 19
9.5%
9 7
 
3.5%
10 14
7.0%
11 12
6.0%
12 9
4.5%
13 7
 
3.5%
ValueCountFrequency (%)
104 1
0.5%
92 1
0.5%
79 1
0.5%
76 1
0.5%
69 1
0.5%
67 2
1.0%
59 1
0.5%
57 1
0.5%
55 1
0.5%
54 1
0.5%

24
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.281407
Minimum2
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:49.688998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317
95-th percentile41.1
Maximum67
Range65
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.292315
Coefficient of variation (CV)0.79070043
Kurtosis3.8210408
Mean14.281407
Median Absolute Deviation (MAD)5
Skewness1.8809802
Sum2842
Variance127.51637
MonotonicityNot monotonic
2023-12-10T15:42:49.915231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 17
 
8.5%
11 15
 
7.5%
7 14
 
7.0%
8 13
 
6.5%
13 13
 
6.5%
10 12
 
6.0%
6 11
 
5.5%
12 10
 
5.0%
9 8
 
4.0%
4 8
 
4.0%
Other values (32) 78
39.2%
ValueCountFrequency (%)
2 4
 
2.0%
3 5
 
2.5%
4 8
4.0%
5 17
8.5%
6 11
5.5%
7 14
7.0%
8 13
6.5%
9 8
4.0%
10 12
6.0%
11 15
7.5%
ValueCountFrequency (%)
67 1
 
0.5%
53 1
 
0.5%
52 1
 
0.5%
49 2
1.0%
46 1
 
0.5%
45 1
 
0.5%
42 3
1.5%
41 1
 
0.5%
39 1
 
0.5%
37 1
 
0.5%

35.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.336683
Minimum2
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:50.125250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q17
median10
Q317
95-th percentile39.1
Maximum56
Range54
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.533973
Coefficient of variation (CV)0.80450777
Kurtosis3.1769083
Mean14.336683
Median Absolute Deviation (MAD)4
Skewness1.8330113
Sum2853
Variance133.03254
MonotonicityNot monotonic
2023-12-10T15:42:50.804721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11 17
 
8.5%
10 17
 
8.5%
9 17
 
8.5%
7 14
 
7.0%
5 12
 
6.0%
6 12
 
6.0%
17 10
 
5.0%
4 9
 
4.5%
8 9
 
4.5%
13 7
 
3.5%
Other values (31) 75
37.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 6
 
3.0%
4 9
4.5%
5 12
6.0%
6 12
6.0%
7 14
7.0%
8 9
4.5%
9 17
8.5%
10 17
8.5%
11 17
8.5%
ValueCountFrequency (%)
56 3
1.5%
54 1
 
0.5%
53 1
 
0.5%
51 1
 
0.5%
43 2
1.0%
41 1
 
0.5%
40 1
 
0.5%
39 2
1.0%
37 1
 
0.5%
36 4
2.0%

20.4
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.537688
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:51.013626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q314.5
95-th percentile29.1
Maximum53
Range52
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation8.6956007
Coefficient of variation (CV)0.75366922
Kurtosis3.5543284
Mean11.537688
Median Absolute Deviation (MAD)5
Skewness1.6452686
Sum2296
Variance75.613471
MonotonicityNot monotonic
2023-12-10T15:42:51.246756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 16
 
8.0%
8 15
 
7.5%
12 13
 
6.5%
3 13
 
6.5%
6 12
 
6.0%
7 11
 
5.5%
14 11
 
5.5%
5 11
 
5.5%
2 10
 
5.0%
11 10
 
5.0%
Other values (26) 77
38.7%
ValueCountFrequency (%)
1 3
 
1.5%
2 10
5.0%
3 13
6.5%
4 16
8.0%
5 11
5.5%
6 12
6.0%
7 11
5.5%
8 15
7.5%
9 8
4.0%
10 8
4.0%
ValueCountFrequency (%)
53 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
40 1
 
0.5%
36 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
30 3
1.5%
29 1
 
0.5%
28 3
1.5%

8.2
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.055276
Minimum1
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:51.462326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median11
Q321
95-th percentile40.1
Maximum69
Range68
Interquartile range (IQR)19

Descriptive statistics

Standard deviation13.69664
Coefficient of variation (CV)0.97448384
Kurtosis2.6712006
Mean14.055276
Median Absolute Deviation (MAD)9
Skewness1.4569831
Sum2797
Variance187.59794
MonotonicityNot monotonic
2023-12-10T15:42:51.669564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 31
 
15.6%
2 25
 
12.6%
3 10
 
5.0%
21 9
 
4.5%
5 9
 
4.5%
16 6
 
3.0%
14 6
 
3.0%
17 6
 
3.0%
18 5
 
2.5%
19 5
 
2.5%
Other values (35) 87
43.7%
ValueCountFrequency (%)
1 31
15.6%
2 25
12.6%
3 10
 
5.0%
4 4
 
2.0%
5 9
 
4.5%
6 2
 
1.0%
7 2
 
1.0%
8 5
 
2.5%
9 4
 
2.0%
10 4
 
2.0%
ValueCountFrequency (%)
69 2
1.0%
66 1
0.5%
52 1
0.5%
50 1
0.5%
48 1
0.5%
47 2
1.0%
43 1
0.5%
41 1
0.5%
40 1
0.5%
38 1
0.5%

85
Real number (ℝ)

Distinct82
Distinct (%)41.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.61809
Minimum7
Maximum233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:51.882223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile14
Q123
median32
Q355
95-th percentile134.7
Maximum233
Range226
Interquartile range (IQR)32

Descriptive statistics

Standard deviation40.162987
Coefficient of variation (CV)0.86153222
Kurtosis6.122722
Mean46.61809
Median Absolute Deviation (MAD)13
Skewness2.3255265
Sum9277
Variance1613.0655
MonotonicityNot monotonic
2023-12-10T15:42:52.108257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 8
 
4.0%
26 8
 
4.0%
28 7
 
3.5%
19 6
 
3.0%
30 6
 
3.0%
31 6
 
3.0%
18 5
 
2.5%
14 5
 
2.5%
15 5
 
2.5%
25 5
 
2.5%
Other values (72) 138
69.3%
ValueCountFrequency (%)
7 1
 
0.5%
10 2
 
1.0%
11 2
 
1.0%
12 1
 
0.5%
13 2
 
1.0%
14 5
2.5%
15 5
2.5%
16 4
2.0%
17 8
4.0%
18 5
2.5%
ValueCountFrequency (%)
233 1
0.5%
228 1
0.5%
211 1
0.5%
185 1
0.5%
170 1
0.5%
166 1
0.5%
161 1
0.5%
150 1
0.5%
146 1
0.5%
141 1
0.5%

189
Real number (ℝ)

Distinct89
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.788945
Minimum10
Maximum397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:52.331932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.9
Q125
median36
Q363.5
95-th percentile175.5
Maximum397
Range387
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation59.150345
Coefficient of variation (CV)1.0235581
Kurtosis8.7179984
Mean57.788945
Median Absolute Deviation (MAD)16
Skewness2.6973113
Sum11500
Variance3498.7633
MonotonicityNot monotonic
2023-12-10T15:42:52.567566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 9
 
4.5%
32 7
 
3.5%
26 6
 
3.0%
23 5
 
2.5%
27 5
 
2.5%
35 5
 
2.5%
28 5
 
2.5%
19 5
 
2.5%
38 5
 
2.5%
44 5
 
2.5%
Other values (79) 142
71.4%
ValueCountFrequency (%)
10 2
 
1.0%
11 1
 
0.5%
12 1
 
0.5%
13 4
2.0%
14 2
 
1.0%
15 2
 
1.0%
16 3
 
1.5%
17 9
4.5%
18 4
2.0%
19 5
2.5%
ValueCountFrequency (%)
397 1
0.5%
301 1
0.5%
291 1
0.5%
281 1
0.5%
269 1
0.5%
215 1
0.5%
207 1
0.5%
204 1
0.5%
181 1
0.5%
180 1
0.5%

13
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8341709
Minimum1
Maximum110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:52.793178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q311
95-th percentile31.1
Maximum110
Range109
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.227128
Coefficient of variation (CV)1.2433309
Kurtosis26.426749
Mean9.8341709
Median Absolute Deviation (MAD)3
Skewness4.3337668
Sum1957
Variance149.50266
MonotonicityNot monotonic
2023-12-10T15:42:53.042607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3 31
15.6%
5 30
15.1%
4 20
10.1%
6 17
 
8.5%
2 13
 
6.5%
8 12
 
6.0%
7 10
 
5.0%
11 9
 
4.5%
9 9
 
4.5%
10 5
 
2.5%
Other values (26) 43
21.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 13
6.5%
3 31
15.6%
4 20
10.1%
5 30
15.1%
6 17
8.5%
7 10
 
5.0%
8 12
 
6.0%
9 9
 
4.5%
10 5
 
2.5%
ValueCountFrequency (%)
110 1
0.5%
69 1
0.5%
59 1
0.5%
53 1
0.5%
44 1
0.5%
39 1
0.5%
36 1
0.5%
34 1
0.5%
32 2
1.0%
31 1
0.5%

17.1
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.879397
Minimum2
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:53.244002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q311
95-th percentile31.1
Maximum51
Range49
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.5375667
Coefficient of variation (CV)0.96539969
Kurtosis5.5916981
Mean9.879397
Median Absolute Deviation (MAD)2
Skewness2.3272787
Sum1966
Variance90.965179
MonotonicityNot monotonic
2023-12-10T15:42:53.470000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
4 28
14.1%
3 22
11.1%
6 22
11.1%
5 21
10.6%
7 21
10.6%
8 10
 
5.0%
9 9
 
4.5%
2 8
 
4.0%
11 5
 
2.5%
10 5
 
2.5%
Other values (26) 48
24.1%
ValueCountFrequency (%)
2 8
 
4.0%
3 22
11.1%
4 28
14.1%
5 21
10.6%
6 22
11.1%
7 21
10.6%
8 10
 
5.0%
9 9
 
4.5%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
51 1
0.5%
50 1
0.5%
46 1
0.5%
44 1
0.5%
43 1
0.5%
42 2
1.0%
34 1
0.5%
33 1
0.5%
32 1
0.5%
31 1
0.5%

545267
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean549880.56
Minimum540703
Maximum562685
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:53.684546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum540703
5-th percentile541709.3
Q1545094
median548266
Q3553110
95-th percentile560445.3
Maximum562685
Range21982
Interquartile range (IQR)8016

Descriptive statistics

Standard deviation6015.8302
Coefficient of variation (CV)0.010940249
Kurtosis-0.83331454
Mean549880.56
Median Absolute Deviation (MAD)3843
Skewness0.5339209
Sum1.0942623 × 108
Variance36190213
MonotonicityNot monotonic
2023-12-10T15:42:53.902960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
547639 1
 
0.5%
543441 1
 
0.5%
558595 1
 
0.5%
543193 1
 
0.5%
548378 1
 
0.5%
551252 1
 
0.5%
545383 1
 
0.5%
547558 1
 
0.5%
545100 1
 
0.5%
541719 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
540703 1
0.5%
540747 1
0.5%
541030 1
0.5%
541269 1
0.5%
541437 1
0.5%
541526 1
0.5%
541594 1
0.5%
541631 1
0.5%
541673 1
0.5%
541694 1
0.5%
ValueCountFrequency (%)
562685 1
0.5%
562640 1
0.5%
562113 1
0.5%
562062 1
0.5%
561502 1
0.5%
561154 1
0.5%
561148 1
0.5%
560963 1
0.5%
560532 1
0.5%
560448 1
0.5%

36
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.98995
Minimum1
Maximum81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:54.093664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q15
median7
Q313
95-th percentile37
Maximum81
Range80
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.58935
Coefficient of variation (CV)1.0545407
Kurtosis11.27234
Mean10.98995
Median Absolute Deviation (MAD)3
Skewness3.005007
Sum2187
Variance134.31303
MonotonicityNot monotonic
2023-12-10T15:42:54.301055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
5 28
14.1%
3 20
 
10.1%
4 20
 
10.1%
7 16
 
8.0%
8 13
 
6.5%
9 13
 
6.5%
6 12
 
6.0%
10 10
 
5.0%
16 7
 
3.5%
15 6
 
3.0%
Other values (27) 54
27.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 6
 
3.0%
3 20
10.1%
4 20
10.1%
5 28
14.1%
6 12
6.0%
7 16
8.0%
8 13
6.5%
9 13
6.5%
10 10
 
5.0%
ValueCountFrequency (%)
81 1
0.5%
70 1
0.5%
52 1
0.5%
51 1
0.5%
46 2
1.0%
44 1
0.5%
43 1
0.5%
39 1
0.5%
37 2
1.0%
36 1
0.5%

31
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.18593
Minimum2
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:54.480623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median7
Q314
95-th percentile37.1
Maximum65
Range63
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.005536
Coefficient of variation (CV)0.98387316
Kurtosis6.6032315
Mean11.18593
Median Absolute Deviation (MAD)3
Skewness2.4429895
Sum2226
Variance121.12182
MonotonicityNot monotonic
2023-12-10T15:42:54.673501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
5 23
11.6%
4 21
 
10.6%
3 20
 
10.1%
7 20
 
10.1%
6 16
 
8.0%
9 13
 
6.5%
8 10
 
5.0%
14 7
 
3.5%
10 7
 
3.5%
2 6
 
3.0%
Other values (30) 56
28.1%
ValueCountFrequency (%)
2 6
 
3.0%
3 20
10.1%
4 21
10.6%
5 23
11.6%
6 16
8.0%
7 20
10.1%
8 10
5.0%
9 13
6.5%
10 7
 
3.5%
11 3
 
1.5%
ValueCountFrequency (%)
65 1
0.5%
61 1
0.5%
50 1
0.5%
49 1
0.5%
48 1
0.5%
45 1
0.5%
44 1
0.5%
43 1
0.5%
39 1
0.5%
38 1
0.5%

17.2
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9648241
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:54.866570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q310
95-th percentile18.5
Maximum55
Range54
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.4144119
Coefficient of variation (CV)0.93089462
Kurtosis14.487638
Mean7.9648241
Median Absolute Deviation (MAD)3
Skewness3.3293757
Sum1585
Variance54.973504
MonotonicityNot monotonic
2023-12-10T15:42:55.055897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 30
15.1%
6 28
14.1%
5 27
13.6%
4 19
9.5%
10 15
7.5%
7 14
7.0%
2 12
 
6.0%
8 8
 
4.0%
11 7
 
3.5%
9 6
 
3.0%
Other values (17) 33
16.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 12
 
6.0%
3 30
15.1%
4 19
9.5%
5 27
13.6%
6 28
14.1%
7 14
7.0%
8 8
 
4.0%
9 6
 
3.0%
10 15
7.5%
ValueCountFrequency (%)
55 1
 
0.5%
49 1
 
0.5%
39 1
 
0.5%
34 1
 
0.5%
31 2
1.0%
28 1
 
0.5%
26 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
18 3
1.5%

7.4
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5979899
Minimum1
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:55.226948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile18
Maximum42
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.6994768
Coefficient of variation (CV)0.75012956
Kurtosis8.545531
Mean7.5979899
Median Absolute Deviation (MAD)2
Skewness2.3758238
Sum1512
Variance32.484036
MonotonicityNot monotonic
2023-12-10T15:42:55.377801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4 23
11.6%
5 22
11.1%
8 22
11.1%
6 21
10.6%
3 16
8.0%
2 16
8.0%
9 15
7.5%
7 15
7.5%
11 12
 
6.0%
1 6
 
3.0%
Other values (17) 31
15.6%
ValueCountFrequency (%)
1 6
 
3.0%
2 16
8.0%
3 16
8.0%
4 23
11.6%
5 22
11.1%
6 21
10.6%
7 15
7.5%
8 22
11.1%
9 15
7.5%
10 3
 
1.5%
ValueCountFrequency (%)
42 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
26 1
 
0.5%
25 1
 
0.5%
24 1
 
0.5%
22 1
 
0.5%
21 1
 
0.5%
19 1
 
0.5%
18 3
1.5%

28
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.256281
Minimum2
Maximum206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:55.547971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.9
Q14
median7
Q315
95-th percentile62
Maximum206
Range204
Interquartile range (IQR)11

Descriptive statistics

Standard deviation23.91757
Coefficient of variation (CV)1.5677195
Kurtosis25.901803
Mean15.256281
Median Absolute Deviation (MAD)4
Skewness4.3839599
Sum3036
Variance572.05015
MonotonicityNot monotonic
2023-12-10T15:42:55.765151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4 23
 
11.6%
5 22
 
11.1%
3 21
 
10.6%
6 19
 
9.5%
7 13
 
6.5%
2 10
 
5.0%
10 10
 
5.0%
11 9
 
4.5%
15 7
 
3.5%
9 6
 
3.0%
Other values (35) 59
29.6%
ValueCountFrequency (%)
2 10
5.0%
3 21
10.6%
4 23
11.6%
5 22
11.1%
6 19
9.5%
7 13
6.5%
8 6
 
3.0%
9 6
 
3.0%
10 10
5.0%
11 9
 
4.5%
ValueCountFrequency (%)
206 1
 
0.5%
152 1
 
0.5%
89 1
 
0.5%
88 1
 
0.5%
87 1
 
0.5%
75 2
1.0%
71 1
 
0.5%
62 3
1.5%
55 1
 
0.5%
54 1
 
0.5%

27.2
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.703518
Minimum2
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:55.952766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median6
Q314
95-th percentile39.3
Maximum78
Range76
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.987466
Coefficient of variation (CV)1.1097062
Kurtosis8.2877677
Mean11.703518
Median Absolute Deviation (MAD)3
Skewness2.6870124
Sum2329
Variance168.67428
MonotonicityNot monotonic
2023-12-10T15:42:56.170157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4 24
12.1%
5 23
11.6%
6 23
11.6%
3 17
 
8.5%
2 13
 
6.5%
9 10
 
5.0%
7 10
 
5.0%
8 9
 
4.5%
14 8
 
4.0%
11 8
 
4.0%
Other values (30) 54
27.1%
ValueCountFrequency (%)
2 13
6.5%
3 17
8.5%
4 24
12.1%
5 23
11.6%
6 23
11.6%
7 10
5.0%
8 9
 
4.5%
9 10
5.0%
10 4
 
2.0%
11 8
 
4.0%
ValueCountFrequency (%)
78 1
0.5%
72 1
0.5%
69 1
0.5%
60 1
0.5%
55 1
0.5%
51 1
0.5%
46 2
1.0%
45 1
0.5%
42 1
0.5%
39 1
0.5%

72
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.59799
Minimum2
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:56.334049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median8
Q314
95-th percentile43.2
Maximum111
Range109
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.726167
Coefficient of variation (CV)1.2483076
Kurtosis14.161944
Mean12.59799
Median Absolute Deviation (MAD)4
Skewness3.472792
Sum2507
Variance247.31232
MonotonicityNot monotonic
2023-12-10T15:42:56.542285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
4 25
12.6%
5 21
 
10.6%
3 19
 
9.5%
8 15
 
7.5%
7 14
 
7.0%
6 12
 
6.0%
9 9
 
4.5%
2 8
 
4.0%
13 8
 
4.0%
12 7
 
3.5%
Other values (25) 61
30.7%
ValueCountFrequency (%)
2 8
 
4.0%
3 19
9.5%
4 25
12.6%
5 21
10.6%
6 12
6.0%
7 14
7.0%
8 15
7.5%
9 9
 
4.5%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
111 1
0.5%
89 1
0.5%
80 2
1.0%
69 2
1.0%
57 2
1.0%
49 1
0.5%
45 1
0.5%
43 1
0.5%
35 1
0.5%
32 1
0.5%

42.1
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3567839
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:56.736757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median6
Q310
95-th percentile24.8
Maximum85
Range84
Interquartile range (IQR)6

Descriptive statistics

Standard deviation10.901688
Coefficient of variation (CV)1.1651106
Kurtosis21.567697
Mean9.3567839
Median Absolute Deviation (MAD)2
Skewness4.1893161
Sum1862
Variance118.84681
MonotonicityNot monotonic
2023-12-10T15:42:56.911472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
5 25
12.6%
6 24
12.1%
4 23
11.6%
3 22
11.1%
7 19
9.5%
8 11
 
5.5%
9 11
 
5.5%
2 9
 
4.5%
11 8
 
4.0%
13 8
 
4.0%
Other values (21) 39
19.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 9
 
4.5%
3 22
11.1%
4 23
11.6%
5 25
12.6%
6 24
12.1%
7 19
9.5%
8 11
5.5%
9 11
5.5%
10 8
 
4.0%
ValueCountFrequency (%)
85 1
0.5%
78 1
0.5%
56 1
0.5%
48 1
0.5%
44 1
0.5%
42 1
0.5%
40 1
0.5%
37 1
0.5%
33 1
0.5%
32 1
0.5%

20.5
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0703518
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:57.231323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile22
Maximum54
Range53
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.1269212
Coefficient of variation (CV)0.78573812
Kurtosis10.532045
Mean9.0703518
Median Absolute Deviation (MAD)3
Skewness2.5744886
Sum1805
Variance50.793005
MonotonicityNot monotonic
2023-12-10T15:42:57.410483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
9 19
 
9.5%
6 16
 
8.0%
7 16
 
8.0%
5 15
 
7.5%
2 15
 
7.5%
8 14
 
7.0%
10 14
 
7.0%
3 14
 
7.0%
4 14
 
7.0%
11 13
 
6.5%
Other values (18) 49
24.6%
ValueCountFrequency (%)
1 6
 
3.0%
2 15
7.5%
3 14
7.0%
4 14
7.0%
5 15
7.5%
6 16
8.0%
7 16
8.0%
8 14
7.0%
9 19
9.5%
10 14
7.0%
ValueCountFrequency (%)
54 1
0.5%
43 1
0.5%
32 1
0.5%
31 2
1.0%
30 1
0.5%
24 2
1.0%
23 1
0.5%
22 2
1.0%
21 1
0.5%
20 1
0.5%

346
Real number (ℝ)

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.974874
Minimum12
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:57.630840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19.9
Q133
median57
Q3117
95-th percentile332.3
Maximum566
Range554
Interquartile range (IQR)84

Descriptive statistics

Standard deviation100.82836
Coefficient of variation (CV)1.0616319
Kurtosis6.205132
Mean94.974874
Median Absolute Deviation (MAD)30
Skewness2.3625098
Sum18900
Variance10166.358
MonotonicityNot monotonic
2023-12-10T15:42:58.294628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39 5
 
2.5%
32 5
 
2.5%
20 5
 
2.5%
33 4
 
2.0%
31 4
 
2.0%
34 4
 
2.0%
22 4
 
2.0%
27 4
 
2.0%
76 4
 
2.0%
21 4
 
2.0%
Other values (106) 156
78.4%
ValueCountFrequency (%)
12 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
16 2
 
1.0%
17 1
 
0.5%
18 2
 
1.0%
19 2
 
1.0%
20 5
2.5%
21 4
2.0%
22 4
2.0%
ValueCountFrequency (%)
566 1
0.5%
548 1
0.5%
518 1
0.5%
434 1
0.5%
412 1
0.5%
371 2
1.0%
342 1
0.5%
339 1
0.5%
335 1
0.5%
332 1
0.5%

609
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.20603
Minimum13
Maximum727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:58.538156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20.9
Q136
median62
Q3139.5
95-th percentile430.5
Maximum727
Range714
Interquartile range (IQR)103.5

Descriptive statistics

Standard deviation143.07133
Coefficient of variation (CV)1.1612365
Kurtosis4.2623916
Mean123.20603
Median Absolute Deviation (MAD)35
Skewness2.1275202
Sum24518
Variance20469.407
MonotonicityNot monotonic
2023-12-10T15:42:58.820849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 5
 
2.5%
21 5
 
2.5%
22 4
 
2.0%
41 4
 
2.0%
45 4
 
2.0%
34 4
 
2.0%
36 4
 
2.0%
61 4
 
2.0%
32 4
 
2.0%
40 4
 
2.0%
Other values (117) 157
78.9%
ValueCountFrequency (%)
13 1
 
0.5%
14 1
 
0.5%
16 2
 
1.0%
17 1
 
0.5%
18 2
 
1.0%
19 1
 
0.5%
20 2
 
1.0%
21 5
2.5%
22 4
2.0%
23 2
 
1.0%
ValueCountFrequency (%)
727 1
0.5%
645 1
0.5%
642 1
0.5%
613 1
0.5%
602 1
0.5%
565 1
0.5%
528 1
0.5%
517 1
0.5%
516 1
0.5%
507 1
0.5%

20.6
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9045226
Minimum1
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:59.039215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile19.1
Maximum66
Range65
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.1479953
Coefficient of variation (CV)1.0308017
Kurtosis18.651921
Mean7.9045226
Median Absolute Deviation (MAD)2
Skewness3.8024768
Sum1573
Variance66.389828
MonotonicityNot monotonic
2023-12-10T15:42:59.224925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
3 31
15.6%
6 27
13.6%
4 25
12.6%
5 24
12.1%
7 17
8.5%
2 10
 
5.0%
9 9
 
4.5%
10 8
 
4.0%
8 8
 
4.0%
13 7
 
3.5%
Other values (17) 33
16.6%
ValueCountFrequency (%)
1 4
 
2.0%
2 10
 
5.0%
3 31
15.6%
4 25
12.6%
5 24
12.1%
6 27
13.6%
7 17
8.5%
8 8
 
4.0%
9 9
 
4.5%
10 8
 
4.0%
ValueCountFrequency (%)
66 1
0.5%
46 1
0.5%
44 2
1.0%
35 1
0.5%
31 2
1.0%
28 1
0.5%
24 1
0.5%
20 1
0.5%
19 1
0.5%
18 2
1.0%

73
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22
Minimum2
Maximum229
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:59.476479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q325.5
95-th percentile74
Maximum229
Range227
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation29.788649
Coefficient of variation (CV)1.3540295
Kurtosis14.025839
Mean22
Median Absolute Deviation (MAD)6
Skewness3.190887
Sum4378
Variance887.36364
MonotonicityNot monotonic
2023-12-10T15:42:59.706743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 19
 
9.5%
7 17
 
8.5%
3 15
 
7.5%
5 14
 
7.0%
4 13
 
6.5%
11 8
 
4.0%
8 8
 
4.0%
9 7
 
3.5%
14 6
 
3.0%
18 5
 
2.5%
Other values (50) 87
43.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 15
7.5%
4 13
6.5%
5 14
7.0%
6 19
9.5%
7 17
8.5%
8 8
4.0%
9 7
 
3.5%
10 3
 
1.5%
11 8
4.0%
ValueCountFrequency (%)
229 1
0.5%
136 1
0.5%
128 1
0.5%
126 1
0.5%
124 1
0.5%
114 1
0.5%
111 1
0.5%
78 1
0.5%
75 1
0.5%
74 2
1.0%

85.1
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.376884
Minimum2
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:42:59.950856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q324.5
95-th percentile81.2
Maximum156
Range154
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation25.746897
Coefficient of variation (CV)1.204427
Kurtosis6.4145764
Mean21.376884
Median Absolute Deviation (MAD)6
Skewness2.4101753
Sum4254
Variance662.9027
MonotonicityNot monotonic
2023-12-10T15:43:00.184915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
7 14
 
7.0%
4 14
 
7.0%
3 13
 
6.5%
9 12
 
6.0%
6 11
 
5.5%
8 9
 
4.5%
14 7
 
3.5%
17 6
 
3.0%
10 6
 
3.0%
Other values (51) 91
45.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 13
6.5%
4 14
7.0%
5 16
8.0%
6 11
5.5%
7 14
7.0%
8 9
4.5%
9 12
6.0%
10 6
 
3.0%
11 2
 
1.0%
ValueCountFrequency (%)
156 1
0.5%
118 1
0.5%
117 1
0.5%
116 1
0.5%
106 1
0.5%
97 1
0.5%
90 1
0.5%
84 1
0.5%
83 2
1.0%
81 1
0.5%

109
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.457286
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:00.411679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median13
Q327
95-th percentile88.8
Maximum146
Range144
Interquartile range (IQR)21

Descriptive statistics

Standard deviation26.821839
Coefficient of variation (CV)1.1434332
Kurtosis4.9107921
Mean23.457286
Median Absolute Deviation (MAD)8
Skewness2.1892018
Sum4668
Variance719.41105
MonotonicityNot monotonic
2023-12-10T15:43:00.656144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
6 16
 
8.0%
5 13
 
6.5%
7 12
 
6.0%
9 11
 
5.5%
11 7
 
3.5%
8 7
 
3.5%
14 7
 
3.5%
22 5
 
2.5%
3 5
 
2.5%
Other values (50) 99
49.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 5
 
2.5%
4 17
8.5%
5 13
6.5%
6 16
8.0%
7 12
6.0%
8 7
3.5%
9 11
5.5%
10 5
 
2.5%
11 7
3.5%
ValueCountFrequency (%)
146 1
0.5%
134 1
0.5%
114 1
0.5%
108 1
0.5%
107 1
0.5%
104 1
0.5%
101 2
1.0%
96 2
1.0%
88 1
0.5%
83 1
0.5%

58.1
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.683417
Minimum2
Maximum115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:00.894697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median9
Q318.5
95-th percentile54.2
Maximum115
Range113
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation16.553411
Coefficient of variation (CV)1.0554722
Kurtosis9.8497582
Mean15.683417
Median Absolute Deviation (MAD)5
Skewness2.824515
Sum3121
Variance274.01543
MonotonicityNot monotonic
2023-12-10T15:43:01.120342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4 20
 
10.1%
7 18
 
9.0%
6 17
 
8.5%
8 13
 
6.5%
9 13
 
6.5%
5 10
 
5.0%
12 8
 
4.0%
16 8
 
4.0%
3 8
 
4.0%
14 7
 
3.5%
Other values (35) 77
38.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 8
 
4.0%
4 20
10.1%
5 10
5.0%
6 17
8.5%
7 18
9.0%
8 13
6.5%
9 13
6.5%
10 7
 
3.5%
11 2
 
1.0%
ValueCountFrequency (%)
115 1
0.5%
83 1
0.5%
79 1
0.5%
76 1
0.5%
75 1
0.5%
65 1
0.5%
60 1
0.5%
59 1
0.5%
58 1
0.5%
56 1
0.5%

21.3
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.201005
Minimum3
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:01.334862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q315
95-th percentile26.2
Maximum74
Range71
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.9589298
Coefficient of variation (CV)0.73427802
Kurtosis15.15488
Mean12.201005
Median Absolute Deviation (MAD)4
Skewness3.1334654
Sum2428
Variance80.262423
MonotonicityNot monotonic
2023-12-10T15:43:01.533952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
9 22
 
11.1%
6 18
 
9.0%
8 17
 
8.5%
10 15
 
7.5%
7 14
 
7.0%
11 13
 
6.5%
5 13
 
6.5%
13 12
 
6.0%
18 10
 
5.0%
4 8
 
4.0%
Other values (21) 57
28.6%
ValueCountFrequency (%)
3 6
 
3.0%
4 8
 
4.0%
5 13
6.5%
6 18
9.0%
7 14
7.0%
8 17
8.5%
9 22
11.1%
10 15
7.5%
11 13
6.5%
12 5
 
2.5%
ValueCountFrequency (%)
74 1
 
0.5%
58 1
 
0.5%
48 1
 
0.5%
42 1
 
0.5%
35 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
28 3
1.5%
26 1
 
0.5%
24 2
1.0%

166
Real number (ℝ)

Distinct76
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.487437
Minimum2
Maximum372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:01.752938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q340.5
95-th percentile164.6
Maximum372
Range370
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation60.57451
Coefficient of variation (CV)1.5738775
Kurtosis9.2055989
Mean38.487437
Median Absolute Deviation (MAD)8
Skewness2.7854656
Sum7659
Variance3669.2713
MonotonicityNot monotonic
2023-12-10T15:43:01.966086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 17
 
8.5%
3 16
 
8.0%
5 16
 
8.0%
8 13
 
6.5%
7 10
 
5.0%
4 9
 
4.5%
14 6
 
3.0%
12 5
 
2.5%
10 4
 
2.0%
13 4
 
2.0%
Other values (66) 99
49.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 16
8.0%
4 9
4.5%
5 16
8.0%
6 17
8.5%
7 10
5.0%
8 13
6.5%
9 3
 
1.5%
10 4
 
2.0%
11 4
 
2.0%
ValueCountFrequency (%)
372 1
0.5%
363 1
0.5%
233 1
0.5%
227 1
0.5%
219 1
0.5%
210 1
0.5%
198 1
0.5%
172 1
0.5%
171 1
0.5%
170 1
0.5%

119.1
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.592965
Minimum2
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:02.177483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median13
Q329.5
95-th percentile92.4
Maximum162
Range160
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation32.027768
Coefficient of variation (CV)1.2514286
Kurtosis5.1964985
Mean25.592965
Median Absolute Deviation (MAD)9
Skewness2.2684576
Sum5093
Variance1025.7779
MonotonicityNot monotonic
2023-12-10T15:43:02.411757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
7 15
 
7.5%
3 13
 
6.5%
5 12
 
6.0%
6 11
 
5.5%
8 9
 
4.5%
24 6
 
3.0%
9 6
 
3.0%
23 6
 
3.0%
17 5
 
2.5%
Other values (56) 99
49.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 13
6.5%
4 17
8.5%
5 12
6.0%
6 11
5.5%
7 15
7.5%
8 9
4.5%
9 6
 
3.0%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
162 1
0.5%
161 1
0.5%
150 1
0.5%
128 1
0.5%
127 1
0.5%
126 2
1.0%
118 2
1.0%
114 1
0.5%
90 1
0.5%
84 1
0.5%

184
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.407035
Minimum2
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:02.642642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median14
Q331
95-th percentile102
Maximum182
Range180
Interquartile range (IQR)25

Descriptive statistics

Standard deviation33.889454
Coefficient of variation (CV)1.2833495
Kurtosis7.1114239
Mean26.407035
Median Absolute Deviation (MAD)9
Skewness2.588336
Sum5255
Variance1148.4951
MonotonicityNot monotonic
2023-12-10T15:43:02.883125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 19
 
9.5%
5 16
 
8.0%
4 11
 
5.5%
10 11
 
5.5%
3 11
 
5.5%
8 9
 
4.5%
18 6
 
3.0%
7 6
 
3.0%
20 6
 
3.0%
12 5
 
2.5%
Other values (53) 99
49.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 11
5.5%
4 11
5.5%
5 16
8.0%
6 19
9.5%
7 6
 
3.0%
8 9
4.5%
9 3
 
1.5%
10 11
5.5%
11 1
 
0.5%
ValueCountFrequency (%)
182 1
0.5%
179 1
0.5%
157 1
0.5%
154 1
0.5%
143 1
0.5%
141 1
0.5%
140 1
0.5%
136 1
0.5%
112 1
0.5%
102 2
1.0%

96
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.336683
Minimum2
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:03.105974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q322
95-th percentile70.2
Maximum136
Range134
Interquartile range (IQR)15

Descriptive statistics

Standard deviation21.089808
Coefficient of variation (CV)1.150143
Kurtosis9.4991335
Mean18.336683
Median Absolute Deviation (MAD)5
Skewness2.8488076
Sum3649
Variance444.78001
MonotonicityNot monotonic
2023-12-10T15:43:03.326185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 20
 
10.1%
8 15
 
7.5%
4 14
 
7.0%
6 12
 
6.0%
5 11
 
5.5%
9 11
 
5.5%
10 10
 
5.0%
16 7
 
3.5%
3 7
 
3.5%
17 6
 
3.0%
Other values (44) 86
43.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 7
 
3.5%
4 14
7.0%
5 11
5.5%
6 12
6.0%
7 20
10.1%
8 15
7.5%
9 11
5.5%
10 10
5.0%
11 6
 
3.0%
ValueCountFrequency (%)
136 1
0.5%
123 1
0.5%
95 1
0.5%
91 1
0.5%
89 1
0.5%
82 1
0.5%
76 1
0.5%
74 1
0.5%
73 1
0.5%
72 1
0.5%

43
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.688442
Minimum2
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:03.526459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median12
Q318
95-th percentile37.1
Maximum70
Range68
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.8920138
Coefficient of variation (CV)0.67345561
Kurtosis5.3401432
Mean14.688442
Median Absolute Deviation (MAD)4
Skewness1.9215727
Sum2923
Variance97.851936
MonotonicityNot monotonic
2023-12-10T15:43:03.788354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
8 16
 
8.0%
11 16
 
8.0%
9 15
 
7.5%
7 14
 
7.0%
5 12
 
6.0%
12 12
 
6.0%
10 11
 
5.5%
13 11
 
5.5%
16 11
 
5.5%
20 7
 
3.5%
Other values (29) 74
37.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 4
 
2.0%
4 1
 
0.5%
5 12
6.0%
6 6
 
3.0%
7 14
7.0%
8 16
8.0%
9 15
7.5%
10 11
5.5%
11 16
8.0%
ValueCountFrequency (%)
70 1
 
0.5%
46 1
 
0.5%
44 1
 
0.5%
42 1
 
0.5%
40 3
1.5%
39 2
1.0%
38 1
 
0.5%
37 1
 
0.5%
36 2
1.0%
33 1
 
0.5%

9
Real number (ℝ)

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6331658
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:04.133329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile17.2
Maximum57
Range56
Interquartile range (IQR)5

Descriptive statistics

Standard deviation6.3692051
Coefficient of variation (CV)0.83441199
Kurtosis20.772392
Mean7.6331658
Median Absolute Deviation (MAD)2
Skewness3.6233266
Sum1519
Variance40.566773
MonotonicityNot monotonic
2023-12-10T15:43:04.369209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 24
12.1%
4 23
11.6%
6 23
11.6%
8 22
11.1%
2 18
9.0%
3 17
8.5%
9 13
6.5%
7 13
6.5%
10 9
 
4.5%
12 6
 
3.0%
Other values (14) 31
15.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 18
9.0%
3 17
8.5%
4 23
11.6%
5 24
12.1%
6 23
11.6%
7 13
6.5%
8 22
11.1%
9 13
6.5%
10 9
 
4.5%
ValueCountFrequency (%)
57 1
 
0.5%
38 1
 
0.5%
30 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
22 2
 
1.0%
20 1
 
0.5%
19 2
 
1.0%
17 2
 
1.0%
16 5
2.5%

15.1
Real number (ℝ)

Distinct123
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.84925
Minimum4
Maximum403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:04.822987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile36
Q161
median100
Q3139
95-th percentile276.1
Maximum403
Range399
Interquartile range (IQR)78

Descriptive statistics

Standard deviation73.479932
Coefficient of variation (CV)0.63979464
Kurtosis2.084844
Mean114.84925
Median Absolute Deviation (MAD)40
Skewness1.424805
Sum22855
Variance5399.3004
MonotonicityNot monotonic
2023-12-10T15:43:05.226022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 4
 
2.0%
55 4
 
2.0%
64 4
 
2.0%
123 4
 
2.0%
95 3
 
1.5%
36 3
 
1.5%
39 3
 
1.5%
86 3
 
1.5%
104 3
 
1.5%
106 3
 
1.5%
Other values (113) 165
82.9%
ValueCountFrequency (%)
4 1
 
0.5%
5 1
 
0.5%
9 1
 
0.5%
18 1
 
0.5%
30 1
 
0.5%
32 1
 
0.5%
33 2
1.0%
35 1
 
0.5%
36 3
1.5%
37 1
 
0.5%
ValueCountFrequency (%)
403 1
0.5%
354 1
0.5%
347 1
0.5%
332 1
0.5%
324 1
0.5%
323 1
0.5%
310 1
0.5%
304 1
0.5%
278 1
0.5%
277 1
0.5%

28.1
Real number (ℝ)

Distinct137
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.83417
Minimum6
Maximum676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:05.763518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile43
Q169.5
median109
Q3178
95-th percentile319
Maximum676
Range670
Interquartile range (IQR)108.5

Descriptive statistics

Standard deviation100.80729
Coefficient of variation (CV)0.72609851
Kurtosis6.3519624
Mean138.83417
Median Absolute Deviation (MAD)46
Skewness2.0899601
Sum27628
Variance10162.109
MonotonicityNot monotonic
2023-12-10T15:43:06.090360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98 4
 
2.0%
89 4
 
2.0%
96 3
 
1.5%
56 3
 
1.5%
47 3
 
1.5%
68 3
 
1.5%
74 3
 
1.5%
59 3
 
1.5%
90 3
 
1.5%
61 3
 
1.5%
Other values (127) 167
83.9%
ValueCountFrequency (%)
6 1
0.5%
9 1
0.5%
13 1
0.5%
26 1
0.5%
29 1
0.5%
30 1
0.5%
35 1
0.5%
39 1
0.5%
40 1
0.5%
43 2
1.0%
ValueCountFrequency (%)
676 1
0.5%
609 1
0.5%
508 1
0.5%
406 1
0.5%
399 1
0.5%
397 1
0.5%
381 1
0.5%
370 1
0.5%
365 1
0.5%
319 2
1.0%

2.4
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.708543
Minimum1
Maximum127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:06.941035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q111
median18
Q329
95-th percentile56
Maximum127
Range126
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.135168
Coefficient of variation (CV)0.79860554
Kurtosis9.4497328
Mean22.708543
Median Absolute Deviation (MAD)8
Skewness2.5061612
Sum4519
Variance328.88432
MonotonicityNot monotonic
2023-12-10T15:43:07.235236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 14
 
7.0%
16 10
 
5.0%
10 10
 
5.0%
13 9
 
4.5%
18 9
 
4.5%
12 8
 
4.0%
7 8
 
4.0%
15 7
 
3.5%
8 7
 
3.5%
20 7
 
3.5%
Other values (43) 110
55.3%
ValueCountFrequency (%)
1 3
 
1.5%
4 1
 
0.5%
6 6
3.0%
7 8
4.0%
8 7
3.5%
9 14
7.0%
10 10
5.0%
11 6
3.0%
12 8
4.0%
13 9
4.5%
ValueCountFrequency (%)
127 1
 
0.5%
121 1
 
0.5%
83 1
 
0.5%
76 1
 
0.5%
67 1
 
0.5%
64 2
1.0%
62 1
 
0.5%
61 1
 
0.5%
56 3
1.5%
54 1
 
0.5%

3.6
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.120603
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:07.472381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q112
median18
Q328
95-th percentile56.9
Maximum90
Range89
Interquartile range (IQR)16

Descriptive statistics

Standard deviation16.674408
Coefficient of variation (CV)0.72119261
Kurtosis2.9332971
Mean23.120603
Median Absolute Deviation (MAD)7
Skewness1.7126236
Sum4601
Variance278.03589
MonotonicityNot monotonic
2023-12-10T15:43:07.708763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 12
 
6.0%
14 9
 
4.5%
11 9
 
4.5%
10 9
 
4.5%
17 9
 
4.5%
8 9
 
4.5%
19 9
 
4.5%
9 9
 
4.5%
24 8
 
4.0%
13 7
 
3.5%
Other values (48) 109
54.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 1
 
0.5%
4 1
 
0.5%
6 2
 
1.0%
7 4
 
2.0%
8 9
4.5%
9 9
4.5%
10 9
4.5%
11 9
4.5%
12 12
6.0%
ValueCountFrequency (%)
90 1
0.5%
82 1
0.5%
78 1
0.5%
77 1
0.5%
74 1
0.5%
72 1
0.5%
70 1
0.5%
66 1
0.5%
65 2
1.0%
56 2
1.0%

5.3
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.572864
Minimum1
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:07.940974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q114
median20
Q333.5
95-th percentile65.4
Maximum106
Range105
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation18.905492
Coefficient of variation (CV)0.71145858
Kurtosis3.416422
Mean26.572864
Median Absolute Deviation (MAD)9
Skewness1.6870469
Sum5288
Variance357.41764
MonotonicityNot monotonic
2023-12-10T15:43:08.189820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 11
 
5.5%
10 10
 
5.0%
25 10
 
5.0%
19 9
 
4.5%
29 8
 
4.0%
17 7
 
3.5%
18 7
 
3.5%
13 7
 
3.5%
14 7
 
3.5%
11 7
 
3.5%
Other values (50) 116
58.3%
ValueCountFrequency (%)
1 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
6 2
 
1.0%
7 2
 
1.0%
8 5
2.5%
9 5
2.5%
10 10
5.0%
11 7
3.5%
12 6
3.0%
ValueCountFrequency (%)
106 1
0.5%
105 1
0.5%
102 1
0.5%
75 1
0.5%
73 1
0.5%
72 1
0.5%
70 2
1.0%
69 2
1.0%
65 1
0.5%
63 2
1.0%

3.7
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.798995
Minimum1
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:08.423712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q111
median18
Q324
95-th percentile46.1
Maximum114
Range113
Interquartile range (IQR)13

Descriptive statistics

Standard deviation15.003696
Coefficient of variation (CV)0.72136642
Kurtosis8.9825004
Mean20.798995
Median Absolute Deviation (MAD)7
Skewness2.3507868
Sum4139
Variance225.11091
MonotonicityNot monotonic
2023-12-10T15:43:08.673312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 13
 
6.5%
11 12
 
6.0%
20 11
 
5.5%
16 10
 
5.0%
12 10
 
5.0%
21 10
 
5.0%
8 9
 
4.5%
9 8
 
4.0%
17 7
 
3.5%
7 7
 
3.5%
Other values (43) 102
51.3%
ValueCountFrequency (%)
1 2
 
1.0%
2 2
 
1.0%
4 2
 
1.0%
5 5
2.5%
6 2
 
1.0%
7 7
3.5%
8 9
4.5%
9 8
4.0%
10 5
2.5%
11 12
6.0%
ValueCountFrequency (%)
114 1
0.5%
83 1
0.5%
77 1
0.5%
61 1
0.5%
60 1
0.5%
58 1
0.5%
57 1
0.5%
55 1
0.5%
51 1
0.5%
47 1
0.5%

1.2
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.055276
Minimum0
Maximum97
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:08.959500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median18
Q327.5
95-th percentile50.1
Maximum97
Range97
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation16.078782
Coefficient of variation (CV)0.76364621
Kurtosis4.2612427
Mean21.055276
Median Absolute Deviation (MAD)9
Skewness1.7156567
Sum4190
Variance258.52723
MonotonicityNot monotonic
2023-12-10T15:43:09.230929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 11
 
5.5%
14 10
 
5.0%
6 10
 
5.0%
21 9
 
4.5%
7 8
 
4.0%
30 7
 
3.5%
11 7
 
3.5%
16 7
 
3.5%
10 6
 
3.0%
17 6
 
3.0%
Other values (45) 118
59.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 2
 
1.0%
2 4
 
2.0%
3 3
 
1.5%
4 4
 
2.0%
5 6
3.0%
6 10
5.0%
7 8
4.0%
8 4
 
2.0%
9 5
2.5%
ValueCountFrequency (%)
97 1
0.5%
87 1
0.5%
85 1
0.5%
65 1
0.5%
62 1
0.5%
61 1
0.5%
60 1
0.5%
58 1
0.5%
55 1
0.5%
51 1
0.5%

4.4
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.462312
Minimum1
Maximum311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:09.490135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.9
Q113
median20
Q337
95-th percentile78.3
Maximum311
Range310
Interquartile range (IQR)24

Descriptive statistics

Standard deviation32.302505
Coefficient of variation (CV)1.0604089
Kurtosis29.809078
Mean30.462312
Median Absolute Deviation (MAD)9
Skewness4.3173013
Sum6062
Variance1043.4519
MonotonicityNot monotonic
2023-12-10T15:43:09.743691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13
 
6.5%
13 12
 
6.0%
12 9
 
4.5%
22 8
 
4.0%
17 8
 
4.0%
16 8
 
4.0%
23 7
 
3.5%
11 7
 
3.5%
20 7
 
3.5%
19 6
 
3.0%
Other values (58) 114
57.3%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
6 4
 
2.0%
7 3
 
1.5%
8 5
 
2.5%
9 13
6.5%
10 5
 
2.5%
11 7
3.5%
12 9
4.5%
13 12
6.0%
ValueCountFrequency (%)
311 1
0.5%
158 1
0.5%
141 1
0.5%
118 1
0.5%
116 1
0.5%
111 1
0.5%
104 1
0.5%
93 1
0.5%
84 1
0.5%
81 1
0.5%

4.5
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.673367
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:10.005214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.9
Q112
median20
Q333
95-th percentile70.1
Maximum121
Range120
Interquartile range (IQR)21

Descriptive statistics

Standard deviation21.159778
Coefficient of variation (CV)0.79329236
Kurtosis3.9119128
Mean26.673367
Median Absolute Deviation (MAD)9
Skewness1.8459675
Sum5308
Variance447.73621
MonotonicityNot monotonic
2023-12-10T15:43:10.374812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 15
 
7.5%
11 10
 
5.0%
21 9
 
4.5%
17 7
 
3.5%
19 7
 
3.5%
13 7
 
3.5%
20 6
 
3.0%
8 6
 
3.0%
22 6
 
3.0%
24 6
 
3.0%
Other values (58) 120
60.3%
ValueCountFrequency (%)
1 2
 
1.0%
3 1
 
0.5%
5 3
 
1.5%
6 4
 
2.0%
7 4
 
2.0%
8 6
 
3.0%
9 5
 
2.5%
10 4
 
2.0%
11 10
5.0%
12 15
7.5%
ValueCountFrequency (%)
121 1
0.5%
115 1
0.5%
104 1
0.5%
91 1
0.5%
85 1
0.5%
82 1
0.5%
81 1
0.5%
77 1
0.5%
73 1
0.5%
71 1
0.5%

10.2
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.542714
Minimum1
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:10.713027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q114
median22
Q340
95-th percentile83.3
Maximum300
Range299
Interquartile range (IQR)26

Descriptive statistics

Standard deviation31.15207
Coefficient of variation (CV)0.9876154
Kurtosis28.69991
Mean31.542714
Median Absolute Deviation (MAD)11
Skewness4.1869548
Sum6277
Variance970.45145
MonotonicityNot monotonic
2023-12-10T15:43:10.962898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 12
 
6.0%
17 9
 
4.5%
11 9
 
4.5%
16 8
 
4.0%
28 8
 
4.0%
15 7
 
3.5%
13 7
 
3.5%
18 6
 
3.0%
10 6
 
3.0%
40 6
 
3.0%
Other values (57) 121
60.8%
ValueCountFrequency (%)
1 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
5 2
 
1.0%
6 3
 
1.5%
7 1
 
0.5%
8 4
2.0%
9 6
3.0%
10 6
3.0%
11 9
4.5%
ValueCountFrequency (%)
300 1
0.5%
146 1
0.5%
138 1
0.5%
125 1
0.5%
111 2
1.0%
95 1
0.5%
87 1
0.5%
86 2
1.0%
83 1
0.5%
82 1
0.5%

33.4
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.59799
Minimum1
Maximum218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:11.204767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q313
95-th percentile56.2
Maximum218
Range217
Interquartile range (IQR)9

Descriptive statistics

Standard deviation25.266643
Coefficient of variation (CV)1.7308303
Kurtosis32.521037
Mean14.59799
Median Absolute Deviation (MAD)3
Skewness5.0267423
Sum2905
Variance638.40323
MonotonicityNot monotonic
2023-12-10T15:43:11.476440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5 24
12.1%
4 22
 
11.1%
3 20
 
10.1%
6 18
 
9.0%
2 14
 
7.0%
7 13
 
6.5%
8 9
 
4.5%
11 8
 
4.0%
10 6
 
3.0%
15 6
 
3.0%
Other values (35) 59
29.6%
ValueCountFrequency (%)
1 3
 
1.5%
2 14
7.0%
3 20
10.1%
4 22
11.1%
5 24
12.1%
6 18
9.0%
7 13
6.5%
8 9
 
4.5%
9 5
 
2.5%
10 6
 
3.0%
ValueCountFrequency (%)
218 1
0.5%
189 1
0.5%
102 1
0.5%
81 1
0.5%
77 1
0.5%
76 1
0.5%
70 1
0.5%
69 1
0.5%
66 1
0.5%
58 1
0.5%

6.1
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.703518
Minimum1
Maximum190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:11.701583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q112
median20
Q331.5
95-th percentile56.3
Maximum190
Range189
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation19.897148
Coefficient of variation (CV)0.80543785
Kurtosis24.475872
Mean24.703518
Median Absolute Deviation (MAD)8
Skewness3.7200913
Sum4916
Variance395.8965
MonotonicityNot monotonic
2023-12-10T15:43:11.958347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 12
 
6.0%
18 10
 
5.0%
10 9
 
4.5%
21 9
 
4.5%
22 8
 
4.0%
11 8
 
4.0%
9 7
 
3.5%
13 7
 
3.5%
19 7
 
3.5%
27 7
 
3.5%
Other values (50) 115
57.8%
ValueCountFrequency (%)
1 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 2
 
1.0%
7 4
2.0%
8 6
3.0%
9 7
3.5%
10 9
4.5%
ValueCountFrequency (%)
190 1
0.5%
96 1
0.5%
87 1
0.5%
83 1
0.5%
78 1
0.5%
69 1
0.5%
66 1
0.5%
63 1
0.5%
62 1
0.5%
59 1
0.5%

3.8
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.030151
Minimum1
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:12.214952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q112
median24
Q333
95-th percentile62.2
Maximum107
Range106
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.039541
Coefficient of variation (CV)0.73144184
Kurtosis3.8545223
Mean26.030151
Median Absolute Deviation (MAD)11
Skewness1.608593
Sum5180
Variance362.50414
MonotonicityNot monotonic
2023-12-10T15:43:12.489450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 8
 
4.0%
32 8
 
4.0%
24 7
 
3.5%
33 7
 
3.5%
16 6
 
3.0%
10 6
 
3.0%
5 6
 
3.0%
25 6
 
3.0%
18 6
 
3.0%
29 6
 
3.0%
Other values (50) 133
66.8%
ValueCountFrequency (%)
1 3
 
1.5%
2 2
 
1.0%
3 3
 
1.5%
4 6
3.0%
5 6
3.0%
6 3
 
1.5%
7 2
 
1.0%
8 8
4.0%
9 5
2.5%
10 6
3.0%
ValueCountFrequency (%)
107 2
1.0%
103 1
0.5%
80 1
0.5%
78 1
0.5%
74 1
0.5%
73 2
1.0%
67 1
0.5%
64 1
0.5%
62 1
0.5%
59 1
0.5%

101
Real number (ℝ)

Distinct114
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.110553
Minimum2
Maximum534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:12.771241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile25
Q145
median66
Q3112
95-th percentile222.1
Maximum534
Range532
Interquartile range (IQR)67

Descriptive statistics

Standard deviation71.107813
Coefficient of variation (CV)0.79797297
Kurtosis11.250148
Mean89.110553
Median Absolute Deviation (MAD)29
Skewness2.663892
Sum17733
Variance5056.321
MonotonicityNot monotonic
2023-12-10T15:43:13.046821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 5
 
2.5%
52 5
 
2.5%
66 4
 
2.0%
101 4
 
2.0%
45 4
 
2.0%
49 4
 
2.0%
53 4
 
2.0%
54 4
 
2.0%
59 4
 
2.0%
62 4
 
2.0%
Other values (104) 157
78.9%
ValueCountFrequency (%)
2 1
0.5%
3 1
0.5%
5 1
0.5%
6 2
1.0%
19 1
0.5%
20 1
0.5%
21 2
1.0%
25 2
1.0%
26 1
0.5%
28 2
1.0%
ValueCountFrequency (%)
534 1
0.5%
471 1
0.5%
325 1
0.5%
267 1
0.5%
261 1
0.5%
250 1
0.5%
239 1
0.5%
236 1
0.5%
231 1
0.5%
223 1
0.5%

174
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.11055
Minimum2
Maximum648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:13.302265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile26.8
Q151
median75
Q3135.5
95-th percentile256.5
Maximum648
Range646
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation97.280018
Coefficient of variation (CV)0.90822067
Kurtosis9.2544015
Mean107.11055
Median Absolute Deviation (MAD)33
Skewness2.6722971
Sum21315
Variance9463.4019
MonotonicityNot monotonic
2023-12-10T15:43:13.556054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46 4
 
2.0%
136 4
 
2.0%
61 4
 
2.0%
52 4
 
2.0%
106 3
 
1.5%
94 3
 
1.5%
87 3
 
1.5%
65 3
 
1.5%
49 3
 
1.5%
69 3
 
1.5%
Other values (112) 165
82.9%
ValueCountFrequency (%)
2 1
0.5%
4 1
0.5%
6 2
1.0%
7 1
0.5%
20 1
0.5%
23 2
1.0%
25 2
1.0%
27 2
1.0%
29 1
0.5%
30 2
1.0%
ValueCountFrequency (%)
648 1
0.5%
562 1
0.5%
528 1
0.5%
489 1
0.5%
392 1
0.5%
391 1
0.5%
390 1
0.5%
343 1
0.5%
305 1
0.5%
270 1
0.5%

18.2
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.462312
Minimum0
Maximum124
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:13.772971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q325.5
95-th percentile59.5
Maximum124
Range124
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation20.471151
Coefficient of variation (CV)1.000432
Kurtosis7.1292722
Mean20.462312
Median Absolute Deviation (MAD)6
Skewness2.3817596
Sum4072
Variance419.06802
MonotonicityNot monotonic
2023-12-10T15:43:14.437692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
11 14
 
7.0%
10 13
 
6.5%
9 13
 
6.5%
8 11
 
5.5%
7 11
 
5.5%
17 8
 
4.0%
13 7
 
3.5%
6 6
 
3.0%
12 6
 
3.0%
Other values (51) 94
47.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
3 1
 
0.5%
4 5
 
2.5%
5 16
8.0%
6 6
 
3.0%
7 11
5.5%
8 11
5.5%
9 13
6.5%
10 13
6.5%
ValueCountFrequency (%)
124 1
0.5%
120 1
0.5%
104 1
0.5%
91 1
0.5%
84 1
0.5%
71 1
0.5%
69 1
0.5%
66 1
0.5%
65 1
0.5%
64 1
0.5%

23.2
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.824121
Minimum0
Maximum138
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:14.645566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median13
Q324.5
95-th percentile51
Maximum138
Range138
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation17.184213
Coefficient of variation (CV)0.91288267
Kurtosis14.986632
Mean18.824121
Median Absolute Deviation (MAD)6
Skewness3.0454081
Sum3746
Variance295.29719
MonotonicityNot monotonic
2023-12-10T15:43:14.863714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
9 12
 
6.0%
11 11
 
5.5%
5 11
 
5.5%
10 11
 
5.5%
12 10
 
5.0%
8 9
 
4.5%
13 9
 
4.5%
14 8
 
4.0%
6 8
 
4.0%
Other values (40) 96
48.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
3 1
 
0.5%
4 3
 
1.5%
5 11
5.5%
6 8
4.0%
7 14
7.0%
8 9
4.5%
9 12
6.0%
10 11
5.5%
ValueCountFrequency (%)
138 1
 
0.5%
112 1
 
0.5%
64 1
 
0.5%
62 1
 
0.5%
60 1
 
0.5%
55 1
 
0.5%
53 3
1.5%
51 2
1.0%
47 2
1.0%
46 1
 
0.5%

33.5
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.864322
Minimum1
Maximum148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:15.088974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median14
Q327
95-th percentile52.1
Maximum148
Range147
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.849858
Coefficient of variation (CV)0.95137806
Kurtosis13.853887
Mean20.864322
Median Absolute Deviation (MAD)7
Skewness3.112042
Sum4152
Variance394.01685
MonotonicityNot monotonic
2023-12-10T15:43:15.349858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 12
 
6.0%
11 12
 
6.0%
9 12
 
6.0%
8 11
 
5.5%
10 10
 
5.0%
12 9
 
4.5%
14 8
 
4.0%
13 7
 
3.5%
15 7
 
3.5%
7 6
 
3.0%
Other values (44) 105
52.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 1
 
0.5%
4 3
 
1.5%
5 5
2.5%
6 12
6.0%
7 6
3.0%
8 11
5.5%
9 12
6.0%
10 10
5.0%
ValueCountFrequency (%)
148 1
 
0.5%
127 1
 
0.5%
111 1
 
0.5%
90 1
 
0.5%
70 1
 
0.5%
62 4
2.0%
53 1
 
0.5%
52 1
 
0.5%
50 1
 
0.5%
48 1
 
0.5%

20.7
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.628141
Minimum0
Maximum144
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:15.617260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q319
95-th percentile35
Maximum144
Range144
Interquartile range (IQR)11

Descriptive statistics

Standard deviation15.062912
Coefficient of variation (CV)0.96383265
Kurtosis30.698379
Mean15.628141
Median Absolute Deviation (MAD)5
Skewness4.5735137
Sum3110
Variance226.89133
MonotonicityNot monotonic
2023-12-10T15:43:15.868573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 15
 
7.5%
12 14
 
7.0%
13 14
 
7.0%
9 13
 
6.5%
10 13
 
6.5%
8 12
 
6.0%
7 12
 
6.0%
19 9
 
4.5%
5 9
 
4.5%
14 8
 
4.0%
Other values (32) 80
40.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
3 2
 
1.0%
4 4
 
2.0%
5 9
4.5%
6 15
7.5%
7 12
6.0%
8 12
6.0%
9 13
6.5%
10 13
6.5%
ValueCountFrequency (%)
144 1
0.5%
86 1
0.5%
84 1
0.5%
74 1
0.5%
46 1
0.5%
45 1
0.5%
41 1
0.5%
36 2
1.0%
35 2
1.0%
34 1
0.5%

7.5
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.025126
Minimum0
Maximum57
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:16.142555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q316
95-th percentile30.2
Maximum57
Range57
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.5496772
Coefficient of variation (CV)0.73317352
Kurtosis3.7353466
Mean13.025126
Median Absolute Deviation (MAD)5
Skewness1.619748
Sum2592
Variance91.196335
MonotonicityNot monotonic
2023-12-10T15:43:16.387546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 18
 
9.0%
15 15
 
7.5%
4 12
 
6.0%
11 12
 
6.0%
10 11
 
5.5%
16 10
 
5.0%
12 9
 
4.5%
5 9
 
4.5%
6 8
 
4.0%
9 8
 
4.0%
Other values (27) 87
43.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 8
4.0%
3 5
 
2.5%
4 12
6.0%
5 9
4.5%
6 8
4.0%
7 18
9.0%
8 8
4.0%
9 8
4.0%
ValueCountFrequency (%)
57 1
 
0.5%
51 1
 
0.5%
50 1
 
0.5%
38 2
 
1.0%
36 2
 
1.0%
35 1
 
0.5%
34 1
 
0.5%
32 1
 
0.5%
30 2
 
1.0%
29 6
3.0%

37
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.688442
Minimum1
Maximum309
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:16.644477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.9
Q19
median15
Q337
95-th percentile101.3
Maximum309
Range308
Interquartile range (IQR)28

Descriptive statistics

Standard deviation41.55006
Coefficient of variation (CV)1.3112055
Kurtosis13.424708
Mean31.688442
Median Absolute Deviation (MAD)9
Skewness3.1619501
Sum6306
Variance1726.4075
MonotonicityNot monotonic
2023-12-10T15:43:16.872110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 14
 
7.0%
13 13
 
6.5%
10 12
 
6.0%
8 11
 
5.5%
7 9
 
4.5%
12 8
 
4.0%
9 7
 
3.5%
19 6
 
3.0%
11 6
 
3.0%
6 5
 
2.5%
Other values (62) 108
54.3%
ValueCountFrequency (%)
1 3
 
1.5%
2 2
 
1.0%
3 1
 
0.5%
4 4
 
2.0%
5 14
7.0%
6 5
 
2.5%
7 9
4.5%
8 11
5.5%
9 7
3.5%
10 12
6.0%
ValueCountFrequency (%)
309 1
0.5%
228 1
0.5%
179 1
0.5%
178 1
0.5%
166 1
0.5%
165 1
0.5%
133 1
0.5%
123 1
0.5%
113 2
1.0%
100 2
1.0%

29.1
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.125628
Minimum1
Maximum90
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:17.114901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q313
95-th percentile37.1
Maximum90
Range89
Interquartile range (IQR)9

Descriptive statistics

Standard deviation12.898567
Coefficient of variation (CV)1.1593563
Kurtosis13.100061
Mean11.125628
Median Absolute Deviation (MAD)3
Skewness3.1947452
Sum2214
Variance166.37303
MonotonicityNot monotonic
2023-12-10T15:43:17.330430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
5 26
13.1%
3 25
12.6%
6 21
 
10.6%
4 14
 
7.0%
7 13
 
6.5%
2 13
 
6.5%
8 13
 
6.5%
11 7
 
3.5%
9 7
 
3.5%
14 6
 
3.0%
Other values (30) 54
27.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 13
6.5%
3 25
12.6%
4 14
7.0%
5 26
13.1%
6 21
10.6%
7 13
6.5%
8 13
6.5%
9 7
 
3.5%
10 2
 
1.0%
ValueCountFrequency (%)
90 1
0.5%
82 1
0.5%
67 1
0.5%
57 1
0.5%
50 1
0.5%
43 1
0.5%
41 1
0.5%
39 1
0.5%
38 2
1.0%
37 1
0.5%

28.2
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.432161
Minimum1
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:17.562051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q18
median14
Q326
95-th percentile53.2
Maximum156
Range155
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.691924
Coefficient of variation (CV)0.96377102
Kurtosis12.584482
Mean20.432161
Median Absolute Deviation (MAD)7
Skewness2.8148054
Sum4066
Variance387.77189
MonotonicityNot monotonic
2023-12-10T15:43:17.812642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 15
 
7.5%
12 12
 
6.0%
9 11
 
5.5%
10 11
 
5.5%
11 9
 
4.5%
14 9
 
4.5%
5 9
 
4.5%
6 8
 
4.0%
16 7
 
3.5%
4 7
 
3.5%
Other values (45) 101
50.8%
ValueCountFrequency (%)
1 5
 
2.5%
3 2
 
1.0%
4 7
3.5%
5 9
4.5%
6 8
4.0%
7 15
7.5%
8 5
 
2.5%
9 11
5.5%
10 11
5.5%
11 9
4.5%
ValueCountFrequency (%)
156 1
0.5%
95 1
0.5%
94 1
0.5%
81 2
1.0%
66 1
0.5%
63 1
0.5%
61 2
1.0%
55 1
0.5%
53 1
0.5%
51 1
0.5%

58.2
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.20603
Minimum1
Maximum287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:18.075125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q19
median15
Q327
95-th percentile63
Maximum287
Range286
Interquartile range (IQR)18

Descriptive statistics

Standard deviation29.726918
Coefficient of variation (CV)1.2809997
Kurtosis37.629017
Mean23.20603
Median Absolute Deviation (MAD)7
Skewness5.2285661
Sum4618
Variance883.68966
MonotonicityNot monotonic
2023-12-10T15:43:18.713235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
7.5%
8 12
 
6.0%
9 12
 
6.0%
5 11
 
5.5%
16 10
 
5.0%
6 8
 
4.0%
27 8
 
4.0%
7 7
 
3.5%
13 7
 
3.5%
12 7
 
3.5%
Other values (45) 102
51.3%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 1
 
0.5%
4 2
 
1.0%
5 11
5.5%
6 8
4.0%
7 7
3.5%
8 12
6.0%
9 12
6.0%
10 15
7.5%
ValueCountFrequency (%)
287 1
0.5%
199 1
0.5%
139 1
0.5%
107 1
0.5%
91 2
1.0%
75 1
0.5%
65 1
0.5%
64 1
0.5%
63 2
1.0%
59 1
0.5%

36.1
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.849246
Minimum0
Maximum169
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:19.092857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median12
Q320
95-th percentile42.2
Maximum169
Range169
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.956492
Coefficient of variation (CV)1.006365
Kurtosis34.807196
Mean16.849246
Median Absolute Deviation (MAD)5
Skewness4.7946337
Sum3353
Variance287.52261
MonotonicityNot monotonic
2023-12-10T15:43:19.468063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
13 15
 
7.5%
11 15
 
7.5%
7 14
 
7.0%
12 13
 
6.5%
6 11
 
5.5%
8 11
 
5.5%
10 11
 
5.5%
9 10
 
5.0%
14 9
 
4.5%
5 8
 
4.0%
Other values (35) 82
41.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
3 1
 
0.5%
4 2
 
1.0%
5 8
4.0%
6 11
5.5%
7 14
7.0%
8 11
5.5%
9 10
5.0%
10 11
5.5%
ValueCountFrequency (%)
169 1
0.5%
84 1
0.5%
83 1
0.5%
80 1
0.5%
56 1
0.5%
49 2
1.0%
48 1
0.5%
46 1
0.5%
44 1
0.5%
42 2
1.0%

16.2
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.261307
Minimum0
Maximum63
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:19.890696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q320
95-th percentile38.1
Maximum63
Range63
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.497565
Coefficient of variation (CV)0.75338012
Kurtosis3.3715731
Mean15.261307
Median Absolute Deviation (MAD)6
Skewness1.5420305
Sum3037
Variance132.194
MonotonicityNot monotonic
2023-12-10T15:43:20.316314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3 11
 
5.5%
5 11
 
5.5%
8 11
 
5.5%
15 11
 
5.5%
19 10
 
5.0%
9 9
 
4.5%
10 8
 
4.0%
22 8
 
4.0%
18 7
 
3.5%
7 7
 
3.5%
Other values (33) 106
53.3%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 6
3.0%
3 11
5.5%
4 5
2.5%
5 11
5.5%
6 7
3.5%
7 7
3.5%
8 11
5.5%
9 9
4.5%
ValueCountFrequency (%)
63 2
1.0%
61 1
 
0.5%
47 1
 
0.5%
45 1
 
0.5%
43 3
1.5%
41 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
36 1
 
0.5%
35 1
 
0.5%

124
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.356784
Minimum15
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:20.725945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile23.9
Q140
median59
Q384
95-th percentile151
Maximum254
Range239
Interquartile range (IQR)44

Descriptive statistics

Standard deviation42.589043
Coefficient of variation (CV)0.61405735
Kurtosis3.3357509
Mean69.356784
Median Absolute Deviation (MAD)21
Skewness1.6579806
Sum13802
Variance1813.8266
MonotonicityNot monotonic
2023-12-10T15:43:20.966524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
3.0%
50 6
 
3.0%
24 5
 
2.5%
58 5
 
2.5%
41 4
 
2.0%
48 4
 
2.0%
62 4
 
2.0%
39 4
 
2.0%
65 4
 
2.0%
28 4
 
2.0%
Other values (90) 153
76.9%
ValueCountFrequency (%)
15 2
 
1.0%
16 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 2
 
1.0%
21 1
 
0.5%
22 1
 
0.5%
23 1
 
0.5%
24 5
2.5%
26 2
 
1.0%
ValueCountFrequency (%)
254 1
0.5%
233 1
0.5%
222 1
0.5%
205 1
0.5%
202 1
0.5%
182 1
0.5%
173 1
0.5%
169 1
0.5%
155 1
0.5%
151 2
1.0%

161
Real number (ℝ)

Distinct109
Distinct (%)54.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.678392
Minimum12
Maximum268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:21.169133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile19
Q142
median63
Q388.5
95-th percentile171.8
Maximum268
Range256
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation49.885192
Coefficient of variation (CV)0.65917352
Kurtosis2.5327468
Mean75.678392
Median Absolute Deviation (MAD)23
Skewness1.5393698
Sum15060
Variance2488.5324
MonotonicityNot monotonic
2023-12-10T15:43:21.405150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 5
 
2.5%
51 5
 
2.5%
36 5
 
2.5%
77 5
 
2.5%
39 4
 
2.0%
43 4
 
2.0%
56 4
 
2.0%
61 4
 
2.0%
47 4
 
2.0%
66 4
 
2.0%
Other values (99) 155
77.9%
ValueCountFrequency (%)
12 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
17 1
 
0.5%
18 3
1.5%
19 4
2.0%
21 3
1.5%
22 1
 
0.5%
23 2
1.0%
25 2
1.0%
ValueCountFrequency (%)
268 1
0.5%
256 1
0.5%
255 1
0.5%
239 1
0.5%
226 1
0.5%
205 1
0.5%
199 1
0.5%
191 1
0.5%
188 1
0.5%
179 1
0.5%

34.2
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.60804
Minimum3
Maximum69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:21.642054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median12
Q318
95-th percentile34.1
Maximum69
Range66
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.6639043
Coefficient of variation (CV)0.66154694
Kurtosis5.6576725
Mean14.60804
Median Absolute Deviation (MAD)5
Skewness1.942041
Sum2907
Variance93.391046
MonotonicityNot monotonic
2023-12-10T15:43:21.891615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
6 19
 
9.5%
7 17
 
8.5%
12 14
 
7.0%
14 12
 
6.0%
10 12
 
6.0%
13 11
 
5.5%
5 11
 
5.5%
11 11
 
5.5%
17 9
 
4.5%
8 9
 
4.5%
Other values (30) 74
37.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 2
 
1.0%
5 11
5.5%
6 19
9.5%
7 17
8.5%
8 9
4.5%
9 7
 
3.5%
10 12
6.0%
11 11
5.5%
12 14
7.0%
ValueCountFrequency (%)
69 1
0.5%
48 1
0.5%
46 1
0.5%
45 1
0.5%
39 1
0.5%
38 1
0.5%
37 2
1.0%
36 1
0.5%
35 1
0.5%
34 1
0.5%

30.3
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.286432
Minimum3
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:22.102545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q317
95-th percentile34.2
Maximum62
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.6511561
Coefficient of variation (CV)0.67554698
Kurtosis4.1850511
Mean14.286432
Median Absolute Deviation (MAD)5
Skewness1.8368831
Sum2843
Variance93.144815
MonotonicityNot monotonic
2023-12-10T15:43:22.291867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
6 18
 
9.0%
14 17
 
8.5%
8 17
 
8.5%
10 13
 
6.5%
7 12
 
6.0%
9 12
 
6.0%
16 10
 
5.0%
12 10
 
5.0%
5 9
 
4.5%
17 8
 
4.0%
Other values (29) 73
36.7%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
 
3.0%
5 9
4.5%
6 18
9.0%
7 12
6.0%
8 17
8.5%
9 12
6.0%
10 13
6.5%
11 8
4.0%
12 10
5.0%
ValueCountFrequency (%)
62 1
0.5%
48 1
0.5%
47 1
0.5%
44 2
1.0%
41 1
0.5%
39 1
0.5%
37 2
1.0%
36 1
0.5%
34 1
0.5%
33 1
0.5%

36.2
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.226131
Minimum3
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:22.496978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q319
95-th percentile35
Maximum52
Range49
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.6496256
Coefficient of variation (CV)0.63375429
Kurtosis1.8706665
Mean15.226131
Median Absolute Deviation (MAD)5
Skewness1.4378077
Sum3030
Variance93.115273
MonotonicityNot monotonic
2023-12-10T15:43:22.689595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
8 17
 
8.5%
7 17
 
8.5%
9 15
 
7.5%
12 13
 
6.5%
11 12
 
6.0%
13 10
 
5.0%
15 10
 
5.0%
6 9
 
4.5%
14 9
 
4.5%
10 7
 
3.5%
Other values (31) 80
40.2%
ValueCountFrequency (%)
3 1
 
0.5%
4 4
 
2.0%
5 7
3.5%
6 9
4.5%
7 17
8.5%
8 17
8.5%
9 15
7.5%
10 7
3.5%
11 12
6.0%
12 13
6.5%
ValueCountFrequency (%)
52 1
 
0.5%
49 1
 
0.5%
46 1
 
0.5%
45 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
39 1
 
0.5%
36 1
 
0.5%
35 3
1.5%
34 2
1.0%

18.3
Real number (ℝ)

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.145729
Minimum2
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:23.349084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16.5
median10
Q315
95-th percentile28
Maximum48
Range46
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation8.1441476
Coefficient of variation (CV)0.67053595
Kurtosis2.8443935
Mean12.145729
Median Absolute Deviation (MAD)4
Skewness1.5532529
Sum2417
Variance66.327141
MonotonicityNot monotonic
2023-12-10T15:43:23.567181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
7 20
 
10.1%
6 16
 
8.0%
10 14
 
7.0%
8 13
 
6.5%
9 13
 
6.5%
5 13
 
6.5%
14 12
 
6.0%
12 12
 
6.0%
4 11
 
5.5%
15 10
 
5.0%
Other values (25) 65
32.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 6
 
3.0%
4 11
5.5%
5 13
6.5%
6 16
8.0%
7 20
10.1%
8 13
6.5%
9 13
6.5%
10 14
7.0%
11 4
 
2.0%
ValueCountFrequency (%)
48 1
 
0.5%
43 1
 
0.5%
39 1
 
0.5%
38 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
28 3
1.5%

77
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.19598
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:23.813479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median8
Q313
95-th percentile43.1
Maximum111
Range110
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.881721
Coefficient of variation (CV)1.3022095
Kurtosis15.961786
Mean12.19598
Median Absolute Deviation (MAD)4
Skewness3.7099731
Sum2427
Variance252.22907
MonotonicityNot monotonic
2023-12-10T15:43:24.026491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 23
11.6%
5 23
11.6%
4 21
 
10.6%
8 20
 
10.1%
6 14
 
7.0%
12 10
 
5.0%
14 8
 
4.0%
9 8
 
4.0%
7 8
 
4.0%
2 7
 
3.5%
Other values (28) 57
28.6%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 23
11.6%
4 21
10.6%
5 23
11.6%
6 14
7.0%
7 8
 
4.0%
8 20
10.1%
9 8
 
4.0%
10 5
 
2.5%
ValueCountFrequency (%)
111 1
0.5%
95 1
0.5%
93 1
0.5%
76 1
0.5%
70 1
0.5%
63 2
1.0%
49 1
0.5%
47 1
0.5%
44 1
0.5%
43 1
0.5%

5.4
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.648241
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:24.250867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median11
Q318
95-th percentile34.1
Maximum61
Range60
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.497777
Coefficient of variation (CV)0.90904156
Kurtosis3.578629
Mean12.648241
Median Absolute Deviation (MAD)7
Skewness1.6508389
Sum2517
Variance132.19887
MonotonicityNot monotonic
2023-12-10T15:43:24.472179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2 29
 
14.6%
3 15
 
7.5%
5 10
 
5.0%
18 10
 
5.0%
4 10
 
5.0%
16 9
 
4.5%
1 9
 
4.5%
12 9
 
4.5%
11 9
 
4.5%
6 8
 
4.0%
Other values (30) 81
40.7%
ValueCountFrequency (%)
1 9
 
4.5%
2 29
14.6%
3 15
7.5%
4 10
 
5.0%
5 10
 
5.0%
6 8
 
4.0%
7 2
 
1.0%
8 6
 
3.0%
9 4
 
2.0%
10 4
 
2.0%
ValueCountFrequency (%)
61 1
 
0.5%
60 1
 
0.5%
57 1
 
0.5%
54 1
 
0.5%
41 2
1.0%
38 1
 
0.5%
36 2
1.0%
35 1
 
0.5%
34 4
2.0%
33 1
 
0.5%

60.1
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.266332
Minimum4
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:24.689707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q19
median14
Q325.5
95-th percentile53.1
Maximum109
Range105
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation17.495004
Coefficient of variation (CV)0.86325461
Kurtosis7.6345607
Mean20.266332
Median Absolute Deviation (MAD)7
Skewness2.3904031
Sum4033
Variance306.07517
MonotonicityNot monotonic
2023-12-10T15:43:24.899883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 14
 
7.0%
6 11
 
5.5%
10 11
 
5.5%
7 11
 
5.5%
14 10
 
5.0%
12 10
 
5.0%
9 10
 
5.0%
11 9
 
4.5%
5 8
 
4.0%
15 7
 
3.5%
Other values (42) 98
49.2%
ValueCountFrequency (%)
4 3
 
1.5%
5 8
4.0%
6 11
5.5%
7 11
5.5%
8 14
7.0%
9 10
5.0%
10 11
5.5%
11 9
4.5%
12 10
5.0%
13 6
3.0%
ValueCountFrequency (%)
109 1
0.5%
107 1
0.5%
98 1
0.5%
81 1
0.5%
68 1
0.5%
60 1
0.5%
59 1
0.5%
58 2
1.0%
54 1
0.5%
53 1
0.5%

28.3
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.643216
Minimum2
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:25.099277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317.5
95-th percentile39
Maximum72
Range70
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation11.292187
Coefficient of variation (CV)0.77115481
Kurtosis4.4117881
Mean14.643216
Median Absolute Deviation (MAD)5
Skewness1.9149217
Sum2914
Variance127.51348
MonotonicityNot monotonic
2023-12-10T15:43:25.292942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
7 20
 
10.1%
5 16
 
8.0%
12 14
 
7.0%
11 13
 
6.5%
4 12
 
6.0%
13 11
 
5.5%
8 9
 
4.5%
9 9
 
4.5%
10 9
 
4.5%
6 8
 
4.0%
Other values (28) 78
39.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 12
6.0%
5 16
8.0%
6 8
 
4.0%
7 20
10.1%
8 9
4.5%
9 9
4.5%
10 9
4.5%
11 13
6.5%
ValueCountFrequency (%)
72 1
 
0.5%
51 1
 
0.5%
50 3
1.5%
48 1
 
0.5%
46 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
39 2
1.0%
37 1
 
0.5%
35 1
 
0.5%

43.1
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.844221
Minimum2
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:25.509229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q318
95-th percentile41.1
Maximum61
Range59
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.927426
Coefficient of variation (CV)0.80350635
Kurtosis3.2581399
Mean14.844221
Median Absolute Deviation (MAD)5
Skewness1.8483976
Sum2954
Variance142.26349
MonotonicityNot monotonic
2023-12-10T15:43:25.668580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
11 17
 
8.5%
6 16
 
8.0%
7 14
 
7.0%
8 14
 
7.0%
12 14
 
7.0%
9 12
 
6.0%
4 11
 
5.5%
10 10
 
5.0%
18 10
 
5.0%
14 9
 
4.5%
Other values (32) 72
36.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 3
 
1.5%
4 11
5.5%
5 8
4.0%
6 16
8.0%
7 14
7.0%
8 14
7.0%
9 12
6.0%
10 10
5.0%
11 17
8.5%
ValueCountFrequency (%)
61 1
0.5%
59 1
0.5%
57 1
0.5%
55 1
0.5%
54 1
0.5%
50 1
0.5%
45 1
0.5%
44 1
0.5%
42 2
1.0%
41 2
1.0%

21.4
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.819095
Minimum1
Maximum52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:25.889309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q315
95-th percentile29.1
Maximum52
Range51
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.0619327
Coefficient of variation (CV)0.76671964
Kurtosis3.3401472
Mean11.819095
Median Absolute Deviation (MAD)5
Skewness1.6383167
Sum2352
Variance82.118623
MonotonicityNot monotonic
2023-12-10T15:43:26.131638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
8 14
 
7.0%
5 13
 
6.5%
4 13
 
6.5%
2 13
 
6.5%
3 13
 
6.5%
14 12
 
6.0%
10 11
 
5.5%
13 11
 
5.5%
6 10
 
5.0%
7 10
 
5.0%
Other values (26) 79
39.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 13
6.5%
3 13
6.5%
4 13
6.5%
5 13
6.5%
6 10
5.0%
7 10
5.0%
8 14
7.0%
9 9
4.5%
10 11
5.5%
ValueCountFrequency (%)
52 1
0.5%
44 2
1.0%
42 1
0.5%
40 1
0.5%
39 1
0.5%
32 1
0.5%
31 1
0.5%
30 2
1.0%
29 2
1.0%
28 1
0.5%

9.1
Real number (ℝ)

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.447236
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:26.358587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median13
Q322
95-th percentile40.1
Maximum72
Range71
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.212883
Coefficient of variation (CV)0.98377868
Kurtosis2.8703241
Mean14.447236
Median Absolute Deviation (MAD)10
Skewness1.5101524
Sum2875
Variance202.00604
MonotonicityNot monotonic
2023-12-10T15:43:26.590316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 30
 
15.1%
2 23
 
11.6%
3 13
 
6.5%
13 9
 
4.5%
5 8
 
4.0%
16 8
 
4.0%
18 7
 
3.5%
19 7
 
3.5%
6 7
 
3.5%
22 6
 
3.0%
Other values (37) 81
40.7%
ValueCountFrequency (%)
1 30
15.1%
2 23
11.6%
3 13
6.5%
4 2
 
1.0%
5 8
 
4.0%
6 7
 
3.5%
7 2
 
1.0%
8 4
 
2.0%
9 3
 
1.5%
10 2
 
1.0%
ValueCountFrequency (%)
72 1
0.5%
70 1
0.5%
67 1
0.5%
65 1
0.5%
51 1
0.5%
50 1
0.5%
46 1
0.5%
45 1
0.5%
42 1
0.5%
41 1
0.5%

98
Real number (ℝ)

Distinct84
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.638191
Minimum9
Maximum273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:26.846377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile15
Q123
median34
Q357.5
95-th percentile151.5
Maximum273
Range264
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation43.272332
Coefficient of variation (CV)0.88967807
Kurtosis7.3897329
Mean48.638191
Median Absolute Deviation (MAD)14
Skewness2.506085
Sum9679
Variance1872.4947
MonotonicityNot monotonic
2023-12-10T15:43:27.098196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 10
 
5.0%
17 9
 
4.5%
24 8
 
4.0%
28 8
 
4.0%
36 8
 
4.0%
21 7
 
3.5%
30 6
 
3.0%
34 5
 
2.5%
32 5
 
2.5%
41 5
 
2.5%
Other values (74) 128
64.3%
ValueCountFrequency (%)
9 1
 
0.5%
10 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
13 2
 
1.0%
14 1
 
0.5%
15 4
 
2.0%
16 4
 
2.0%
17 9
4.5%
18 10
5.0%
ValueCountFrequency (%)
273 1
0.5%
244 1
0.5%
231 1
0.5%
186 1
0.5%
181 1
0.5%
180 1
0.5%
160 2
1.0%
158 1
0.5%
156 1
0.5%
151 1
0.5%

202
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.271357
Minimum11
Maximum447
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:27.328888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile16
Q124
median38
Q365
95-th percentile179.8
Maximum447
Range436
Interquartile range (IQR)41

Descriptive statistics

Standard deviation61.719034
Coefficient of variation (CV)1.0412961
Kurtosis11.050368
Mean59.271357
Median Absolute Deviation (MAD)16
Skewness2.9484116
Sum11795
Variance3809.2391
MonotonicityNot monotonic
2023-12-10T15:43:27.676923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 8
 
4.0%
25 7
 
3.5%
20 6
 
3.0%
38 6
 
3.0%
21 5
 
2.5%
30 5
 
2.5%
23 5
 
2.5%
41 5
 
2.5%
24 5
 
2.5%
22 5
 
2.5%
Other values (85) 142
71.4%
ValueCountFrequency (%)
11 2
 
1.0%
12 1
 
0.5%
13 1
 
0.5%
14 2
 
1.0%
15 3
1.5%
16 3
1.5%
17 4
2.0%
18 4
2.0%
19 5
2.5%
20 6
3.0%
ValueCountFrequency (%)
447 1
0.5%
325 1
0.5%
292 1
0.5%
285 1
0.5%
278 1
0.5%
234 1
0.5%
210 1
0.5%
206 1
0.5%
188 1
0.5%
187 1
0.5%

15.2
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.18593
Minimum1
Maximum136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:27.928388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q311
95-th percentile31.2
Maximum136
Range135
Interquartile range (IQR)7

Descriptive statistics

Standard deviation13.671492
Coefficient of variation (CV)1.3421939
Kurtosis39.198958
Mean10.18593
Median Absolute Deviation (MAD)3
Skewness5.2724508
Sum2027
Variance186.9097
MonotonicityNot monotonic
2023-12-10T15:43:28.213303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3 33
16.6%
5 28
14.1%
4 21
10.6%
6 17
 
8.5%
7 12
 
6.0%
9 10
 
5.0%
8 10
 
5.0%
2 8
 
4.0%
10 7
 
3.5%
11 7
 
3.5%
Other values (26) 46
23.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 8
 
4.0%
3 33
16.6%
4 21
10.6%
5 28
14.1%
6 17
8.5%
7 12
 
6.0%
8 10
 
5.0%
9 10
 
5.0%
10 7
 
3.5%
ValueCountFrequency (%)
136 1
0.5%
74 1
0.5%
61 1
0.5%
56 1
0.5%
45 1
0.5%
42 1
0.5%
41 1
0.5%
34 1
0.5%
33 2
1.0%
31 2
1.0%

22.2
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.201005
Minimum2
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:28.520968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q312
95-th percentile29.1
Maximum59
Range57
Interquartile range (IQR)8

Descriptive statistics

Standard deviation10.050871
Coefficient of variation (CV)0.98528238
Kurtosis7.2195583
Mean10.201005
Median Absolute Deviation (MAD)3
Skewness2.5414403
Sum2030
Variance101.02
MonotonicityNot monotonic
2023-12-10T15:43:28.767906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 29
14.6%
3 24
12.1%
5 23
11.6%
7 19
 
9.5%
6 18
 
9.0%
8 10
 
5.0%
9 9
 
4.5%
10 8
 
4.0%
13 5
 
2.5%
12 5
 
2.5%
Other values (24) 49
24.6%
ValueCountFrequency (%)
2 4
 
2.0%
3 24
12.1%
4 29
14.6%
5 23
11.6%
6 18
9.0%
7 19
9.5%
8 10
 
5.0%
9 9
 
4.5%
10 8
 
4.0%
11 3
 
1.5%
ValueCountFrequency (%)
59 1
0.5%
55 1
0.5%
50 1
0.5%
48 2
1.0%
43 1
0.5%
41 1
0.5%
36 1
0.5%
33 1
0.5%
30 1
0.5%
29 1
0.5%

47
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3718593
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:28.996568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q310
95-th percentile28.2
Maximum94
Range93
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.950758
Coefficient of variation (CV)1.2751747
Kurtosis24.392122
Mean9.3718593
Median Absolute Deviation (MAD)2
Skewness4.5035008
Sum1865
Variance142.82062
MonotonicityNot monotonic
2023-12-10T15:43:29.172211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3 30
15.1%
6 26
13.1%
8 20
10.1%
4 20
10.1%
5 20
10.1%
7 18
9.0%
11 11
 
5.5%
10 8
 
4.0%
2 7
 
3.5%
9 5
 
2.5%
Other values (19) 34
17.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 30
15.1%
4 20
10.1%
5 20
10.1%
6 26
13.1%
7 18
9.0%
8 20
10.1%
9 5
 
2.5%
10 8
 
4.0%
ValueCountFrequency (%)
94 1
0.5%
88 1
0.5%
62 1
0.5%
53 1
0.5%
49 1
0.5%
46 1
0.5%
42 1
0.5%
34 2
1.0%
30 1
0.5%
28 1
0.5%

34.3
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.623116
Minimum2
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:29.389979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median7
Q314
95-th percentile41.1
Maximum74
Range72
Interquartile range (IQR)9

Descriptive statistics

Standard deviation11.719951
Coefficient of variation (CV)1.0083312
Kurtosis7.7824558
Mean11.623116
Median Absolute Deviation (MAD)3
Skewness2.6136507
Sum2313
Variance137.35724
MonotonicityNot monotonic
2023-12-10T15:43:29.632529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 22
11.1%
4 22
11.1%
7 22
11.1%
5 17
 
8.5%
6 17
 
8.5%
9 14
 
7.0%
8 12
 
6.0%
10 7
 
3.5%
16 6
 
3.0%
13 6
 
3.0%
Other values (27) 54
27.1%
ValueCountFrequency (%)
2 2
 
1.0%
3 22
11.1%
4 22
11.1%
5 17
8.5%
6 17
8.5%
7 22
11.1%
8 12
6.0%
9 14
7.0%
10 7
 
3.5%
11 5
 
2.5%
ValueCountFrequency (%)
74 1
0.5%
64 1
0.5%
54 1
0.5%
53 1
0.5%
52 1
0.5%
46 1
0.5%
44 1
0.5%
43 1
0.5%
42 2
1.0%
41 1
0.5%

20.8
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5175879
Minimum2
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:29.880022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median6
Q310
95-th percentile22.4
Maximum67
Range65
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.737961
Coefficient of variation (CV)1.0258727
Kurtosis17.891355
Mean8.5175879
Median Absolute Deviation (MAD)2
Skewness3.7624273
Sum1695
Variance76.351962
MonotonicityNot monotonic
2023-12-10T15:43:30.147927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4 28
14.1%
3 27
13.6%
6 27
13.6%
5 24
12.1%
7 18
9.0%
10 9
 
4.5%
11 9
 
4.5%
8 8
 
4.0%
2 8
 
4.0%
9 7
 
3.5%
Other values (18) 34
17.1%
ValueCountFrequency (%)
2 8
 
4.0%
3 27
13.6%
4 28
14.1%
5 24
12.1%
6 27
13.6%
7 18
9.0%
8 8
 
4.0%
9 7
 
3.5%
10 9
 
4.5%
11 9
 
4.5%
ValueCountFrequency (%)
67 1
0.5%
59 1
0.5%
49 1
0.5%
36 2
1.0%
33 2
1.0%
32 1
0.5%
28 1
0.5%
26 1
0.5%
22 1
0.5%
20 1
0.5%

8.3
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9246231
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:30.372640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q39.5
95-th percentile19
Maximum46
Range45
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation6.1249075
Coefficient of variation (CV)0.77289574
Kurtosis9.7270841
Mean7.9246231
Median Absolute Deviation (MAD)3
Skewness2.5743002
Sum1577
Variance37.514492
MonotonicityNot monotonic
2023-12-10T15:43:30.575666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 26
13.1%
7 22
11.1%
6 20
10.1%
4 18
9.0%
2 17
8.5%
8 16
8.0%
3 14
7.0%
9 12
 
6.0%
10 12
 
6.0%
11 8
 
4.0%
Other values (16) 34
17.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 17
8.5%
3 14
7.0%
4 18
9.0%
5 26
13.1%
6 20
10.1%
7 22
11.1%
8 16
8.0%
9 12
6.0%
10 12
6.0%
ValueCountFrequency (%)
46 1
 
0.5%
34 1
 
0.5%
28 1
 
0.5%
27 2
1.0%
26 1
 
0.5%
25 2
1.0%
23 1
 
0.5%
19 2
1.0%
18 1
 
0.5%
17 3
1.5%

34.4
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.271357
Minimum2
Maximum224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:31.309466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q315
95-th percentile60.5
Maximum224
Range222
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.793017
Coefficient of variation (CV)1.623498
Kurtosis31.20722
Mean15.271357
Median Absolute Deviation (MAD)4
Skewness4.8170631
Sum3039
Variance614.69367
MonotonicityNot monotonic
2023-12-10T15:43:31.551243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
6 24
 
12.1%
3 24
 
12.1%
4 22
 
11.1%
5 15
 
7.5%
8 12
 
6.0%
7 10
 
5.0%
11 10
 
5.0%
2 9
 
4.5%
10 6
 
3.0%
16 6
 
3.0%
Other values (36) 61
30.7%
ValueCountFrequency (%)
2 9
 
4.5%
3 24
12.1%
4 22
11.1%
5 15
7.5%
6 24
12.1%
7 10
5.0%
8 12
6.0%
9 5
 
2.5%
10 6
 
3.0%
11 10
5.0%
ValueCountFrequency (%)
224 1
0.5%
160 1
0.5%
92 1
0.5%
88 2
1.0%
75 1
0.5%
71 1
0.5%
68 1
0.5%
66 1
0.5%
65 1
0.5%
60 1
0.5%

29.2
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.954774
Minimum2
Maximum87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:31.762104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median7
Q314
95-th percentile40
Maximum87
Range85
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.214354
Coefficient of variation (CV)1.1053621
Kurtosis9.7345185
Mean11.954774
Median Absolute Deviation (MAD)4
Skewness2.8384056
Sum2379
Variance174.61916
MonotonicityNot monotonic
2023-12-10T15:43:32.004014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5 23
11.6%
3 22
 
11.1%
6 22
 
11.1%
4 14
 
7.0%
7 14
 
7.0%
8 12
 
6.0%
2 11
 
5.5%
12 10
 
5.0%
9 9
 
4.5%
10 5
 
2.5%
Other values (28) 57
28.6%
ValueCountFrequency (%)
2 11
5.5%
3 22
11.1%
4 14
7.0%
5 23
11.6%
6 22
11.1%
7 14
7.0%
8 12
6.0%
9 9
 
4.5%
10 5
 
2.5%
11 2
 
1.0%
ValueCountFrequency (%)
87 1
0.5%
74 1
0.5%
65 1
0.5%
62 1
0.5%
61 1
0.5%
49 1
0.5%
46 1
0.5%
45 1
0.5%
41 1
0.5%
40 2
1.0%

73.1
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum2
Maximum114
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:32.255327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q314
95-th percentile41.4
Maximum114
Range112
Interquartile range (IQR)9

Descriptive statistics

Standard deviation16.529741
Coefficient of variation (CV)1.2715185
Kurtosis14.110316
Mean13
Median Absolute Deviation (MAD)4
Skewness3.5196595
Sum2587
Variance273.23232
MonotonicityNot monotonic
2023-12-10T15:43:32.498929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 24
 
12.1%
3 23
 
11.6%
6 18
 
9.0%
4 17
 
8.5%
8 17
 
8.5%
9 10
 
5.0%
7 8
 
4.0%
11 8
 
4.0%
12 7
 
3.5%
13 6
 
3.0%
Other values (29) 61
30.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 23
11.6%
4 17
8.5%
5 24
12.1%
6 18
9.0%
7 8
 
4.0%
8 17
8.5%
9 10
5.0%
10 4
 
2.0%
11 8
 
4.0%
ValueCountFrequency (%)
114 1
0.5%
92 1
0.5%
88 1
0.5%
85 1
0.5%
74 1
0.5%
68 2
1.0%
65 1
0.5%
50 1
0.5%
45 1
0.5%
41 1
0.5%

44
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8040201
Minimum2
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:32.714388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q310
95-th percentile25.4
Maximum98
Range96
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.81921
Coefficient of variation (CV)1.2055473
Kurtosis26.011131
Mean9.8040201
Median Absolute Deviation (MAD)3
Skewness4.5665665
Sum1951
Variance139.69372
MonotonicityNot monotonic
2023-12-10T15:43:32.950664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4 27
13.6%
5 23
11.6%
7 21
10.6%
6 20
10.1%
3 20
10.1%
8 15
 
7.5%
9 10
 
5.0%
11 9
 
4.5%
10 8
 
4.0%
12 7
 
3.5%
Other values (18) 39
19.6%
ValueCountFrequency (%)
2 6
 
3.0%
3 20
10.1%
4 27
13.6%
5 23
11.6%
6 20
10.1%
7 21
10.6%
8 15
7.5%
9 10
 
5.0%
10 8
 
4.0%
11 9
 
4.5%
ValueCountFrequency (%)
98 1
0.5%
86 1
0.5%
63 1
0.5%
46 1
0.5%
43 1
0.5%
42 2
1.0%
39 1
0.5%
35 1
0.5%
29 1
0.5%
25 2
1.0%

21.5
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4371859
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:33.168720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile23
Maximum62
Range61
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.4843152
Coefficient of variation (CV)0.79306641
Kurtosis13.54425
Mean9.4371859
Median Absolute Deviation (MAD)3
Skewness2.839534
Sum1878
Variance56.014974
MonotonicityNot monotonic
2023-12-10T15:43:33.390554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6 20
 
10.1%
4 18
 
9.0%
8 18
 
9.0%
9 18
 
9.0%
7 17
 
8.5%
3 14
 
7.0%
10 13
 
6.5%
2 11
 
5.5%
11 9
 
4.5%
5 8
 
4.0%
Other values (20) 53
26.6%
ValueCountFrequency (%)
1 5
 
2.5%
2 11
5.5%
3 14
7.0%
4 18
9.0%
5 8
 
4.0%
6 20
10.1%
7 17
8.5%
8 18
9.0%
9 18
9.0%
10 13
6.5%
ValueCountFrequency (%)
62 1
 
0.5%
40 1
 
0.5%
33 1
 
0.5%
32 1
 
0.5%
31 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
24 1
 
0.5%
23 3
1.5%
22 1
 
0.5%

385
Real number (ℝ)

Distinct120
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.703518
Minimum12
Maximum551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:33.592092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile20.9
Q135
median59
Q3123.5
95-th percentile335.1
Maximum551
Range539
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation99.217532
Coefficient of variation (CV)1.0259971
Kurtosis5.3335433
Mean96.703518
Median Absolute Deviation (MAD)30
Skewness2.228675
Sum19244
Variance9844.1187
MonotonicityNot monotonic
2023-12-10T15:43:33.815315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 7
 
3.5%
29 7
 
3.5%
40 6
 
3.0%
45 5
 
2.5%
35 5
 
2.5%
23 4
 
2.0%
19 4
 
2.0%
67 4
 
2.0%
51 4
 
2.0%
34 3
 
1.5%
Other values (110) 150
75.4%
ValueCountFrequency (%)
12 1
 
0.5%
15 1
 
0.5%
17 1
 
0.5%
18 2
 
1.0%
19 4
2.0%
20 1
 
0.5%
21 3
1.5%
22 7
3.5%
23 4
2.0%
25 3
1.5%
ValueCountFrequency (%)
551 1
0.5%
500 1
0.5%
498 1
0.5%
428 1
0.5%
419 1
0.5%
402 1
0.5%
362 1
0.5%
348 1
0.5%
345 1
0.5%
336 1
0.5%

657
Real number (ℝ)

Distinct124
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.66834
Minimum13
Maximum819
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:34.056285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile21.9
Q137
median66
Q3146
95-th percentile455.2
Maximum819
Range806
Interquartile range (IQR)109

Descriptive statistics

Standard deviation144.87128
Coefficient of variation (CV)1.1528065
Kurtosis4.7000456
Mean125.66834
Median Absolute Deviation (MAD)37
Skewness2.168297
Sum25008
Variance20987.687
MonotonicityNot monotonic
2023-12-10T15:43:34.311597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 6
 
3.0%
31 5
 
2.5%
20 4
 
2.0%
23 4
 
2.0%
42 4
 
2.0%
75 4
 
2.0%
37 4
 
2.0%
22 4
 
2.0%
43 4
 
2.0%
45 3
 
1.5%
Other values (114) 157
78.9%
ValueCountFrequency (%)
13 1
 
0.5%
15 1
 
0.5%
17 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 4
2.0%
21 1
 
0.5%
22 4
2.0%
23 4
2.0%
24 2
1.0%
ValueCountFrequency (%)
819 1
0.5%
620 1
0.5%
618 1
0.5%
616 1
0.5%
595 1
0.5%
546 1
0.5%
540 1
0.5%
529 1
0.5%
509 1
0.5%
457 1
0.5%

24.1
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0603015
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:34.562181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14.5
median7
Q311
95-th percentile23.1
Maximum55
Range54
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation7.3934439
Coefficient of variation (CV)0.81602625
Kurtosis12.3942
Mean9.0603015
Median Absolute Deviation (MAD)3
Skewness2.8392116
Sum1803
Variance54.663012
MonotonicityNot monotonic
2023-12-10T15:43:34.787261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
7 20
10.1%
8 16
 
8.0%
6 16
 
8.0%
4 16
 
8.0%
10 16
 
8.0%
5 15
 
7.5%
3 15
 
7.5%
2 14
 
7.0%
9 12
 
6.0%
12 10
 
5.0%
Other values (19) 49
24.6%
ValueCountFrequency (%)
1 5
 
2.5%
2 14
7.0%
3 15
7.5%
4 16
8.0%
5 15
7.5%
6 16
8.0%
7 20
10.1%
8 16
8.0%
9 12
6.0%
10 16
8.0%
ValueCountFrequency (%)
55 1
0.5%
51 1
0.5%
34 1
0.5%
31 1
0.5%
27 1
0.5%
26 1
0.5%
25 2
1.0%
24 2
1.0%
23 2
1.0%
21 1
0.5%

80
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.226131
Minimum2
Maximum236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:35.040621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q327
95-th percentile73.2
Maximum236
Range234
Interquartile range (IQR)21

Descriptive statistics

Standard deviation29.266351
Coefficient of variation (CV)1.3167542
Kurtosis16.342169
Mean22.226131
Median Absolute Deviation (MAD)7
Skewness3.348471
Sum4423
Variance856.51931
MonotonicityNot monotonic
2023-12-10T15:43:35.273139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 18
 
9.0%
4 18
 
9.0%
7 13
 
6.5%
3 13
 
6.5%
8 10
 
5.0%
5 10
 
5.0%
9 8
 
4.0%
15 7
 
3.5%
11 7
 
3.5%
13 7
 
3.5%
Other values (51) 88
44.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 13
6.5%
4 18
9.0%
5 10
5.0%
6 18
9.0%
7 13
6.5%
8 10
5.0%
9 8
4.0%
10 4
 
2.0%
11 7
 
3.5%
ValueCountFrequency (%)
236 1
0.5%
139 1
0.5%
133 1
0.5%
119 1
0.5%
112 1
0.5%
108 1
0.5%
85 1
0.5%
78 1
0.5%
75 2
1.0%
73 1
0.5%

97.1
Real number (ℝ)

Distinct63
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.758794
Minimum2
Maximum147
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:35.495408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q325
95-th percentile79.3
Maximum147
Range145
Interquartile range (IQR)19

Descriptive statistics

Standard deviation25.354499
Coefficient of variation (CV)1.165253
Kurtosis5.5953657
Mean21.758794
Median Absolute Deviation (MAD)7
Skewness2.2941887
Sum4330
Variance642.85062
MonotonicityNot monotonic
2023-12-10T15:43:35.705228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 20
 
10.1%
4 14
 
7.0%
6 11
 
5.5%
8 11
 
5.5%
3 10
 
5.0%
7 10
 
5.0%
9 9
 
4.5%
14 7
 
3.5%
15 7
 
3.5%
16 6
 
3.0%
Other values (53) 94
47.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 10
5.0%
4 14
7.0%
5 20
10.1%
6 11
5.5%
7 10
5.0%
8 11
5.5%
9 9
4.5%
10 5
 
2.5%
11 5
 
2.5%
ValueCountFrequency (%)
147 1
0.5%
119 1
0.5%
111 1
0.5%
109 1
0.5%
108 1
0.5%
99 1
0.5%
96 1
0.5%
88 1
0.5%
85 1
0.5%
82 1
0.5%

120
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.964824
Minimum2
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:35.961828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median14
Q329
95-th percentile87.1
Maximum143
Range141
Interquartile range (IQR)22

Descriptive statistics

Standard deviation27.03073
Coefficient of variation (CV)1.1279336
Kurtosis4.7664408
Mean23.964824
Median Absolute Deviation (MAD)9
Skewness2.162261
Sum4769
Variance730.66037
MonotonicityNot monotonic
2023-12-10T15:43:36.176530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
5 16
 
8.0%
7 14
 
7.0%
6 10
 
5.0%
9 9
 
4.5%
20 8
 
4.0%
8 8
 
4.0%
11 8
 
4.0%
18 7
 
3.5%
17 6
 
3.0%
Other values (51) 96
48.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 4
 
2.0%
4 17
8.5%
5 16
8.0%
6 10
5.0%
7 14
7.0%
8 8
4.0%
9 9
4.5%
10 5
 
2.5%
11 8
4.0%
ValueCountFrequency (%)
143 1
0.5%
139 1
0.5%
114 1
0.5%
109 1
0.5%
108 1
0.5%
104 2
1.0%
103 1
0.5%
100 1
0.5%
88 1
0.5%
87 1
0.5%

64
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.226131
Minimum2
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:36.421846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q319
95-th percentile54.1
Maximum117
Range115
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.993585
Coefficient of variation (CV)1.0472975
Kurtosis9.7439361
Mean16.226131
Median Absolute Deviation (MAD)5
Skewness2.8228916
Sum3229
Variance288.78194
MonotonicityNot monotonic
2023-12-10T15:43:36.632775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4 17
 
8.5%
7 17
 
8.5%
9 16
 
8.0%
8 15
 
7.5%
5 14
 
7.0%
12 12
 
6.0%
6 12
 
6.0%
13 6
 
3.0%
24 6
 
3.0%
16 6
 
3.0%
Other values (39) 78
39.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 17
8.5%
5 14
7.0%
6 12
6.0%
7 17
8.5%
8 15
7.5%
9 16
8.0%
10 5
 
2.5%
11 4
 
2.0%
ValueCountFrequency (%)
117 1
0.5%
85 1
0.5%
84 1
0.5%
82 1
0.5%
72 1
0.5%
70 1
0.5%
61 1
0.5%
60 1
0.5%
58 1
0.5%
55 1
0.5%

24.2
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.341709
Minimum3
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:36.812187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median10
Q315
95-th percentile25.3
Maximum57
Range54
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.0374012
Coefficient of variation (CV)0.65123894
Kurtosis7.6691961
Mean12.341709
Median Absolute Deviation (MAD)4
Skewness2.27231
Sum2456
Variance64.599817
MonotonicityNot monotonic
2023-12-10T15:43:36.988661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
6 21
 
10.6%
9 21
 
10.6%
7 17
 
8.5%
8 16
 
8.0%
10 15
 
7.5%
11 13
 
6.5%
14 11
 
5.5%
5 10
 
5.0%
13 9
 
4.5%
19 7
 
3.5%
Other values (22) 59
29.6%
ValueCountFrequency (%)
3 4
 
2.0%
4 5
 
2.5%
5 10
5.0%
6 21
10.6%
7 17
8.5%
8 16
8.0%
9 21
10.6%
10 15
7.5%
11 13
6.5%
12 6
 
3.0%
ValueCountFrequency (%)
57 1
0.5%
52 1
0.5%
41 1
0.5%
35 1
0.5%
34 2
1.0%
32 1
0.5%
31 1
0.5%
29 1
0.5%
28 1
0.5%
25 1
0.5%

195
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.683417
Minimum2
Maximum408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:37.184576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median13
Q340.5
95-th percentile168.5
Maximum408
Range406
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation60.242819
Coefficient of variation (CV)1.5573293
Kurtosis10.714883
Mean38.683417
Median Absolute Deviation (MAD)9
Skewness2.9231682
Sum7698
Variance3629.1972
MonotonicityNot monotonic
2023-12-10T15:43:37.439657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
6 14
 
7.0%
8 13
 
6.5%
5 12
 
6.0%
7 11
 
5.5%
3 10
 
5.0%
9 6
 
3.0%
14 6
 
3.0%
13 6
 
3.0%
22 5
 
2.5%
Other values (62) 98
49.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 10
5.0%
4 18
9.0%
5 12
6.0%
6 14
7.0%
7 11
5.5%
8 13
6.5%
9 6
 
3.0%
10 3
 
1.5%
11 3
 
1.5%
ValueCountFrequency (%)
408 1
0.5%
345 1
0.5%
217 1
0.5%
216 1
0.5%
212 1
0.5%
209 2
1.0%
177 1
0.5%
175 1
0.5%
173 1
0.5%
168 1
0.5%

126
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.974874
Minimum2
Maximum171
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:37.638328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median14
Q330
95-th percentile90.8
Maximum171
Range169
Interquartile range (IQR)24

Descriptive statistics

Standard deviation32.060145
Coefficient of variation (CV)1.2342753
Kurtosis5.2020126
Mean25.974874
Median Absolute Deviation (MAD)9
Skewness2.2542283
Sum5169
Variance1027.8529
MonotonicityNot monotonic
2023-12-10T15:43:37.849067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
9.5%
7 14
 
7.0%
3 13
 
6.5%
6 10
 
5.0%
5 9
 
4.5%
8 9
 
4.5%
10 8
 
4.0%
15 7
 
3.5%
9 7
 
3.5%
16 6
 
3.0%
Other values (58) 97
48.7%
ValueCountFrequency (%)
2 2
 
1.0%
3 13
6.5%
4 19
9.5%
5 9
4.5%
6 10
5.0%
7 14
7.0%
8 9
4.5%
9 7
 
3.5%
10 8
4.0%
11 4
 
2.0%
ValueCountFrequency (%)
171 1
0.5%
151 1
0.5%
146 1
0.5%
136 1
0.5%
131 1
0.5%
130 1
0.5%
127 1
0.5%
121 1
0.5%
114 1
0.5%
98 1
0.5%

191
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.20603
Minimum2
Maximum194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:38.071081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3.9
Q16
median15
Q331
95-th percentile105.6
Maximum194
Range192
Interquartile range (IQR)25

Descriptive statistics

Standard deviation35.196602
Coefficient of variation (CV)1.2937059
Kurtosis7.4828168
Mean27.20603
Median Absolute Deviation (MAD)10
Skewness2.6476018
Sum5414
Variance1238.8008
MonotonicityNot monotonic
2023-12-10T15:43:38.768867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
6 16
 
8.0%
5 11
 
5.5%
10 11
 
5.5%
8 10
 
5.0%
3 9
 
4.5%
7 7
 
3.5%
16 7
 
3.5%
19 6
 
3.0%
17 5
 
2.5%
Other values (57) 100
50.3%
ValueCountFrequency (%)
2 1
 
0.5%
3 9
4.5%
4 17
8.5%
5 11
5.5%
6 16
8.0%
7 7
3.5%
8 10
5.0%
9 3
 
1.5%
10 11
5.5%
11 4
 
2.0%
ValueCountFrequency (%)
194 1
0.5%
176 1
0.5%
174 1
0.5%
173 1
0.5%
146 1
0.5%
142 1
0.5%
136 1
0.5%
127 1
0.5%
125 1
0.5%
120 1
0.5%

98.1
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.110553
Minimum2
Maximum152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:38.989725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q323
95-th percentile73.1
Maximum152
Range150
Interquartile range (IQR)16

Descriptive statistics

Standard deviation22.722254
Coefficient of variation (CV)1.1889899
Kurtosis11.340859
Mean19.110553
Median Absolute Deviation (MAD)6
Skewness3.0915332
Sum3803
Variance516.30085
MonotonicityNot monotonic
2023-12-10T15:43:39.266620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 17
 
8.5%
8 15
 
7.5%
10 13
 
6.5%
7 13
 
6.5%
6 13
 
6.5%
4 12
 
6.0%
9 11
 
5.5%
12 8
 
4.0%
11 7
 
3.5%
17 7
 
3.5%
Other values (41) 83
41.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 12
6.0%
5 17
8.5%
6 13
6.5%
7 13
6.5%
8 15
7.5%
9 11
5.5%
10 13
6.5%
11 7
3.5%
ValueCountFrequency (%)
152 1
0.5%
135 1
0.5%
110 1
0.5%
106 1
0.5%
90 1
0.5%
89 1
0.5%
79 1
0.5%
77 1
0.5%
75 1
0.5%
74 1
0.5%

47.1
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.954774
Minimum3
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:39.442570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q318.5
95-th percentile37.1
Maximum59
Range56
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation9.6443297
Coefficient of variation (CV)0.64489974
Kurtosis2.778246
Mean14.954774
Median Absolute Deviation (MAD)4
Skewness1.6015627
Sum2976
Variance93.013096
MonotonicityNot monotonic
2023-12-10T15:43:39.655412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
8 19
 
9.5%
10 16
 
8.0%
7 13
 
6.5%
11 13
 
6.5%
9 11
 
5.5%
13 11
 
5.5%
12 11
 
5.5%
17 10
 
5.0%
5 9
 
4.5%
14 9
 
4.5%
Other values (27) 77
38.7%
ValueCountFrequency (%)
3 5
 
2.5%
4 1
 
0.5%
5 9
4.5%
6 7
 
3.5%
7 13
6.5%
8 19
9.5%
9 11
5.5%
10 16
8.0%
11 13
6.5%
12 11
5.5%
ValueCountFrequency (%)
59 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
42 1
 
0.5%
41 1
 
0.5%
40 3
1.5%
38 2
1.0%
37 3
1.5%
35 2
1.0%
34 1
 
0.5%

406
Real number (ℝ)

Distinct117
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.78392
Minimum8
Maximum604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:39.865106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile18
Q133
median52
Q3103.5
95-th percentile338.5
Maximum604
Range596
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation103.5085
Coefficient of variation (CV)1.1155866
Kurtosis7.0886219
Mean92.78392
Median Absolute Deviation (MAD)29
Skewness2.5394711
Sum18464
Variance10714.009
MonotonicityNot monotonic
2023-12-10T15:43:40.160506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 7
 
3.5%
32 5
 
2.5%
37 5
 
2.5%
20 5
 
2.5%
23 5
 
2.5%
29 4
 
2.0%
60 4
 
2.0%
49 4
 
2.0%
100 3
 
1.5%
27 3
 
1.5%
Other values (107) 154
77.4%
ValueCountFrequency (%)
8 2
 
1.0%
13 1
 
0.5%
14 1
 
0.5%
15 1
 
0.5%
16 3
1.5%
17 1
 
0.5%
18 3
1.5%
19 2
 
1.0%
20 5
2.5%
21 3
1.5%
ValueCountFrequency (%)
604 1
0.5%
550 1
0.5%
525 1
0.5%
434 1
0.5%
421 1
0.5%
406 1
0.5%
401 1
0.5%
387 1
0.5%
373 1
0.5%
352 1
0.5%

15.3
Real number (ℝ)

Distinct128
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.09045
Minimum0
Maximum438
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:40.393623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q162.5
median103
Q3144
95-th percentile276.2
Maximum438
Range438
Interquartile range (IQR)81.5

Descriptive statistics

Standard deviation79.539342
Coefficient of variation (CV)0.66232861
Kurtosis2.6913897
Mean120.09045
Median Absolute Deviation (MAD)41
Skewness1.5508299
Sum23898
Variance6326.5069
MonotonicityNot monotonic
2023-12-10T15:43:40.590451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 5
 
2.5%
63 4
 
2.0%
109 4
 
2.0%
122 4
 
2.0%
124 4
 
2.0%
40 4
 
2.0%
81 4
 
2.0%
110 4
 
2.0%
111 3
 
1.5%
79 3
 
1.5%
Other values (118) 160
80.4%
ValueCountFrequency (%)
0 1
0.5%
8 1
0.5%
9 1
0.5%
11 1
0.5%
30 1
0.5%
31 1
0.5%
32 1
0.5%
34 1
0.5%
36 1
0.5%
38 2
1.0%
ValueCountFrequency (%)
438 1
0.5%
394 1
0.5%
386 1
0.5%
385 1
0.5%
362 1
0.5%
345 1
0.5%
329 1
0.5%
322 1
0.5%
319 1
0.5%
314 1
0.5%

28.4
Real number (ℝ)

Distinct131
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.66834
Minimum0
Maximum754
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:40.810133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45.6
Q171
median115
Q3182
95-th percentile327.7
Maximum754
Range754
Interquartile range (IQR)111

Descriptive statistics

Standard deviation108.23119
Coefficient of variation (CV)0.7481332
Kurtosis7.1475409
Mean144.66834
Median Absolute Deviation (MAD)49
Skewness2.1843488
Sum28789
Variance11713.99
MonotonicityNot monotonic
2023-12-10T15:43:41.058795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 4
 
2.0%
119 4
 
2.0%
79 4
 
2.0%
130 4
 
2.0%
84 3
 
1.5%
133 3
 
1.5%
61 3
 
1.5%
58 3
 
1.5%
97 3
 
1.5%
204 3
 
1.5%
Other values (121) 165
82.9%
ValueCountFrequency (%)
0 1
0.5%
12 1
0.5%
15 1
0.5%
16 1
0.5%
31 1
0.5%
36 1
0.5%
38 1
0.5%
39 1
0.5%
41 1
0.5%
42 1
0.5%
ValueCountFrequency (%)
754 1
0.5%
652 1
0.5%
507 1
0.5%
452 1
0.5%
416 1
0.5%
410 1
0.5%
398 1
0.5%
395 1
0.5%
381 1
0.5%
370 1
0.5%

3.9
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.959799
Minimum0
Maximum164
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:41.363029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median18
Q329.5
95-th percentile61.1
Maximum164
Range164
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation20.098454
Coefficient of variation (CV)0.83884069
Kurtosis15.214971
Mean23.959799
Median Absolute Deviation (MAD)8
Skewness3.0600064
Sum4768
Variance403.94787
MonotonicityNot monotonic
2023-12-10T15:43:41.646420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
15 10
 
5.0%
10 10
 
5.0%
11 9
 
4.5%
12 9
 
4.5%
18 9
 
4.5%
7 8
 
4.0%
16 8
 
4.0%
23 7
 
3.5%
19 6
 
3.0%
Other values (49) 112
56.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 3
 
1.5%
7 8
4.0%
8 5
2.5%
9 11
5.5%
10 10
5.0%
ValueCountFrequency (%)
164 1
0.5%
132 1
0.5%
84 1
0.5%
74 1
0.5%
72 1
0.5%
67 1
0.5%
65 2
1.0%
64 1
0.5%
62 1
0.5%
61 1
0.5%

3.10
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.422111
Minimum0
Maximum128
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:41.954633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q112
median18
Q330
95-th percentile60.3
Maximum128
Range128
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.655914
Coefficient of variation (CV)0.76389444
Kurtosis6.1319748
Mean24.422111
Median Absolute Deviation (MAD)8
Skewness2.1134368
Sum4860
Variance348.04315
MonotonicityNot monotonic
2023-12-10T15:43:42.203916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 14
 
7.0%
10 13
 
6.5%
9 10
 
5.0%
16 9
 
4.5%
12 9
 
4.5%
15 8
 
4.0%
20 7
 
3.5%
27 6
 
3.0%
8 6
 
3.0%
18 6
 
3.0%
Other values (47) 111
55.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 3
 
1.5%
6 1
 
0.5%
7 3
 
1.5%
8 6
3.0%
9 10
5.0%
10 13
6.5%
11 6
3.0%
12 9
4.5%
13 14
7.0%
ValueCountFrequency (%)
128 1
0.5%
96 1
0.5%
89 1
0.5%
79 2
1.0%
75 1
0.5%
73 1
0.5%
71 1
0.5%
68 1
0.5%
63 1
0.5%
60 1
0.5%

5.5
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.693467
Minimum0
Maximum117
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:42.437367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q114
median22
Q335
95-th percentile70.1
Maximum117
Range117
Interquartile range (IQR)21

Descriptive statistics

Standard deviation20.238515
Coefficient of variation (CV)0.73080465
Kurtosis3.5122128
Mean27.693467
Median Absolute Deviation (MAD)9
Skewness1.7304958
Sum5511
Variance409.59748
MonotonicityNot monotonic
2023-12-10T15:43:42.712099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 13
 
6.5%
14 9
 
4.5%
13 9
 
4.5%
16 8
 
4.0%
18 8
 
4.0%
10 8
 
4.0%
20 6
 
3.0%
17 6
 
3.0%
23 5
 
2.5%
22 5
 
2.5%
Other values (57) 122
61.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
3 2
 
1.0%
6 1
 
0.5%
7 1
 
0.5%
8 5
 
2.5%
9 4
 
2.0%
10 8
4.0%
11 13
6.5%
12 4
 
2.0%
ValueCountFrequency (%)
117 1
0.5%
109 1
0.5%
100 1
0.5%
91 1
0.5%
82 1
0.5%
80 1
0.5%
77 1
0.5%
76 1
0.5%
71 2
1.0%
70 1
0.5%

3.11
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.708543
Minimum0
Maximum136
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:43.001018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median18
Q326
95-th percentile49.1
Maximum136
Range136
Interquartile range (IQR)14

Descriptive statistics

Standard deviation16.329173
Coefficient of variation (CV)0.75220034
Kurtosis13.202393
Mean21.708543
Median Absolute Deviation (MAD)7
Skewness2.761465
Sum4320
Variance266.6419
MonotonicityNot monotonic
2023-12-10T15:43:43.275187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 13
 
6.5%
7 11
 
5.5%
11 10
 
5.0%
20 10
 
5.0%
14 9
 
4.5%
23 8
 
4.0%
16 7
 
3.5%
26 7
 
3.5%
19 7
 
3.5%
21 7
 
3.5%
Other values (42) 110
55.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 4
 
2.0%
7 11
5.5%
8 5
2.5%
9 5
2.5%
10 6
3.0%
ValueCountFrequency (%)
136 1
 
0.5%
90 1
 
0.5%
75 1
 
0.5%
67 1
 
0.5%
61 1
 
0.5%
60 1
 
0.5%
59 3
1.5%
50 1
 
0.5%
49 1
 
0.5%
48 1
 
0.5%

1.3
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.703518
Minimum0
Maximum95
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:43.540806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median18
Q328
95-th percentile53.1
Maximum95
Range95
Interquartile range (IQR)18

Descriptive statistics

Standard deviation16.732221
Coefficient of variation (CV)0.77094511
Kurtosis4.4952167
Mean21.703518
Median Absolute Deviation (MAD)9
Skewness1.7922136
Sum4319
Variance279.96721
MonotonicityNot monotonic
2023-12-10T15:43:43.814626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 12
 
6.0%
19 9
 
4.5%
13 8
 
4.0%
28 8
 
4.0%
8 7
 
3.5%
25 7
 
3.5%
10 7
 
3.5%
3 7
 
3.5%
18 7
 
3.5%
12 7
 
3.5%
Other values (46) 120
60.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
1.5%
2 2
 
1.0%
3 7
3.5%
4 4
2.0%
5 5
2.5%
6 7
3.5%
7 6
3.0%
8 7
3.5%
9 4
2.0%
ValueCountFrequency (%)
95 1
0.5%
93 1
0.5%
89 1
0.5%
84 1
0.5%
64 2
1.0%
59 1
0.5%
57 1
0.5%
56 1
0.5%
54 1
0.5%
53 2
1.0%

4.6
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.030151
Minimum0
Maximum339
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:44.118907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q113
median21
Q337.5
95-th percentile91
Maximum339
Range339
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation34.953058
Coefficient of variation (CV)1.0912549
Kurtosis30.851506
Mean32.030151
Median Absolute Deviation (MAD)11
Skewness4.3844214
Sum6374
Variance1221.7163
MonotonicityNot monotonic
2023-12-10T15:43:44.391004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
15 10
 
5.0%
14 9
 
4.5%
12 9
 
4.5%
19 9
 
4.5%
21 8
 
4.0%
8 7
 
3.5%
13 6
 
3.0%
17 6
 
3.0%
24 5
 
2.5%
Other values (56) 116
58.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
6 3
 
1.5%
7 4
 
2.0%
8 7
3.5%
9 5
 
2.5%
10 14
7.0%
11 1
 
0.5%
12 9
4.5%
13 6
3.0%
ValueCountFrequency (%)
339 1
0.5%
166 1
0.5%
143 1
0.5%
125 1
0.5%
123 1
0.5%
121 1
0.5%
108 1
0.5%
93 1
0.5%
92 1
0.5%
91 2
1.0%

5.6
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.979899
Minimum0
Maximum140
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:44.610658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112.5
median20
Q336.5
95-th percentile77
Maximum140
Range140
Interquartile range (IQR)24

Descriptive statistics

Standard deviation22.736959
Coefficient of variation (CV)0.8126176
Kurtosis4.1825972
Mean27.979899
Median Absolute Deviation (MAD)9
Skewness1.8682309
Sum5568
Variance516.96929
MonotonicityNot monotonic
2023-12-10T15:43:44.848513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 11
 
5.5%
19 11
 
5.5%
11 10
 
5.0%
20 10
 
5.0%
17 8
 
4.0%
12 8
 
4.0%
14 8
 
4.0%
15 7
 
3.5%
8 7
 
3.5%
13 7
 
3.5%
Other values (54) 112
56.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 3
 
1.5%
6 4
 
2.0%
7 3
 
1.5%
8 7
3.5%
9 3
 
1.5%
10 11
5.5%
11 10
5.0%
12 8
4.0%
13 7
3.5%
ValueCountFrequency (%)
140 1
0.5%
114 1
0.5%
111 1
0.5%
92 1
0.5%
90 1
0.5%
81 1
0.5%
80 2
1.0%
78 1
0.5%
77 2
1.0%
75 1
0.5%

10.3
Real number (ℝ)

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.713568
Minimum0
Maximum326
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:45.139663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q114
median22
Q341.5
95-th percentile85.5
Maximum326
Range326
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation32.983672
Coefficient of variation (CV)1.0082566
Kurtosis32.122013
Mean32.713568
Median Absolute Deviation (MAD)11
Skewness4.4182124
Sum6510
Variance1087.9226
MonotonicityNot monotonic
2023-12-10T15:43:45.405445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 13
 
6.5%
14 11
 
5.5%
16 10
 
5.0%
17 10
 
5.0%
18 8
 
4.0%
10 8
 
4.0%
12 7
 
3.5%
39 6
 
3.0%
9 6
 
3.0%
27 6
 
3.0%
Other values (62) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 2
 
1.0%
6 3
 
1.5%
7 1
 
0.5%
8 1
 
0.5%
9 6
3.0%
10 8
4.0%
11 13
6.5%
12 7
3.5%
13 3
 
1.5%
ValueCountFrequency (%)
326 1
0.5%
142 1
0.5%
139 1
0.5%
137 1
0.5%
123 1
0.5%
109 1
0.5%
97 1
0.5%
94 1
0.5%
91 1
0.5%
90 1
0.5%

692
Real number (ℝ)

Distinct124
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.37186
Minimum8
Maximum750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:45.644170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile19
Q135
median62
Q3133
95-th percentile452.3
Maximum750
Range742
Interquartile range (IQR)98

Descriptive statistics

Standard deviation144.38302
Coefficient of variation (CV)1.2095231
Kurtosis5.4621108
Mean119.37186
Median Absolute Deviation (MAD)36
Skewness2.3320737
Sum23755
Variance20846.457
MonotonicityNot monotonic
2023-12-10T15:43:45.897374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 6
 
3.0%
37 5
 
2.5%
42 5
 
2.5%
83 4
 
2.0%
39 4
 
2.0%
36 4
 
2.0%
25 4
 
2.0%
33 3
 
1.5%
29 3
 
1.5%
19 3
 
1.5%
Other values (114) 158
79.4%
ValueCountFrequency (%)
8 1
 
0.5%
9 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
16 2
1.0%
17 2
1.0%
18 1
 
0.5%
19 3
1.5%
20 2
1.0%
21 3
1.5%
ValueCountFrequency (%)
750 1
0.5%
684 1
0.5%
682 1
0.5%
673 1
0.5%
643 1
0.5%
581 1
0.5%
505 1
0.5%
503 1
0.5%
466 1
0.5%
455 1
0.5%

6.2
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.557789
Minimum0
Maximum183
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:46.597328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median21
Q332
95-th percentile60.1
Maximum183
Range183
Interquartile range (IQR)19

Descriptive statistics

Standard deviation20.482696
Coefficient of variation (CV)0.80142676
Kurtosis18.850649
Mean25.557789
Median Absolute Deviation (MAD)9
Skewness3.3043103
Sum5086
Variance419.54084
MonotonicityNot monotonic
2023-12-10T15:43:46.827977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 11
 
5.5%
26 10
 
5.0%
12 8
 
4.0%
17 8
 
4.0%
22 8
 
4.0%
20 7
 
3.5%
9 7
 
3.5%
16 7
 
3.5%
10 7
 
3.5%
11 7
 
3.5%
Other values (46) 119
59.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
4 2
 
1.0%
6 2
 
1.0%
7 6
3.0%
8 6
3.0%
9 7
3.5%
10 7
3.5%
11 7
3.5%
12 8
4.0%
ValueCountFrequency (%)
183 1
0.5%
111 1
0.5%
98 1
0.5%
81 1
0.5%
80 1
0.5%
73 1
0.5%
69 1
0.5%
68 1
0.5%
63 1
0.5%
61 1
0.5%

3.12
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.954774
Minimum0
Maximum112
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:47.131312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q114
median24
Q335
95-th percentile62.2
Maximum112
Range112
Interquartile range (IQR)21

Descriptive statistics

Standard deviation19.753863
Coefficient of variation (CV)0.73285213
Kurtosis4.2133367
Mean26.954774
Median Absolute Deviation (MAD)11
Skewness1.6883468
Sum5364
Variance390.21512
MonotonicityNot monotonic
2023-12-10T15:43:47.382020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 10
 
5.0%
20 9
 
4.5%
27 8
 
4.0%
14 8
 
4.0%
6 7
 
3.5%
25 7
 
3.5%
29 6
 
3.0%
7 6
 
3.0%
4 6
 
3.0%
31 5
 
2.5%
Other values (55) 127
63.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
1.5%
3 3
1.5%
4 6
3.0%
5 2
 
1.0%
6 7
3.5%
7 6
3.0%
8 3
1.5%
9 5
2.5%
ValueCountFrequency (%)
112 1
0.5%
109 1
0.5%
105 1
0.5%
102 1
0.5%
78 2
1.0%
72 1
0.5%
70 1
0.5%
65 1
0.5%
64 1
0.5%
62 2
1.0%

79
Real number (ℝ)

Distinct118
Distinct (%)59.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.417085
Minimum0
Maximum602
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:47.602466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26.6
Q146
median70
Q3118.5
95-th percentile221.4
Maximum602
Range602
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation71.605625
Coefficient of variation (CV)0.78328493
Kurtosis13.75313
Mean91.417085
Median Absolute Deviation (MAD)32
Skewness2.7832498
Sum18192
Variance5127.3656
MonotonicityNot monotonic
2023-12-10T15:43:47.807032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 7
 
3.5%
35 6
 
3.0%
46 5
 
2.5%
37 5
 
2.5%
48 4
 
2.0%
64 4
 
2.0%
72 4
 
2.0%
128 3
 
1.5%
41 3
 
1.5%
33 3
 
1.5%
Other values (108) 155
77.9%
ValueCountFrequency (%)
0 1
0.5%
2 2
1.0%
6 2
1.0%
17 1
0.5%
19 1
0.5%
20 1
0.5%
22 1
0.5%
23 1
0.5%
27 1
0.5%
28 1
0.5%
ValueCountFrequency (%)
602 1
0.5%
383 1
0.5%
327 1
0.5%
263 1
0.5%
258 1
0.5%
251 1
0.5%
231 1
0.5%
230 2
1.0%
225 1
0.5%
221 2
1.0%

127
Real number (ℝ)

Distinct125
Distinct (%)62.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.71357
Minimum0
Maximum740
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:48.010016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28.8
Q149.5
median77
Q3132.5
95-th percentile273.8
Maximum740
Range740
Interquartile range (IQR)83

Descriptive statistics

Standard deviation100.27172
Coefficient of variation (CV)0.91394091
Kurtosis11.363991
Mean109.71357
Median Absolute Deviation (MAD)36
Skewness2.8571375
Sum21833
Variance10054.418
MonotonicityNot monotonic
2023-12-10T15:43:48.231612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 5
 
2.5%
60 5
 
2.5%
78 5
 
2.5%
49 5
 
2.5%
55 5
 
2.5%
74 4
 
2.0%
114 4
 
2.0%
47 4
 
2.0%
62 4
 
2.0%
35 3
 
1.5%
Other values (115) 155
77.9%
ValueCountFrequency (%)
0 1
0.5%
2 2
1.0%
7 2
1.0%
20 1
0.5%
21 1
0.5%
22 1
0.5%
25 1
0.5%
27 1
0.5%
29 1
0.5%
30 1
0.5%
ValueCountFrequency (%)
740 1
0.5%
566 1
0.5%
539 1
0.5%
453 1
0.5%
414 1
0.5%
374 1
0.5%
369 1
0.5%
347 1
0.5%
315 1
0.5%
299 1
0.5%

17.3
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.924623
Minimum0
Maximum142
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:48.460640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q18
median13
Q326
95-th percentile63.1
Maximum142
Range142
Interquartile range (IQR)18

Descriptive statistics

Standard deviation20.686436
Coefficient of variation (CV)0.9886169
Kurtosis7.7249157
Mean20.924623
Median Absolute Deviation (MAD)7
Skewness2.3970971
Sum4164
Variance427.92863
MonotonicityNot monotonic
2023-12-10T15:43:48.680401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 16
 
8.0%
6 14
 
7.0%
11 13
 
6.5%
5 10
 
5.0%
7 10
 
5.0%
10 9
 
4.5%
12 8
 
4.0%
8 8
 
4.0%
15 6
 
3.0%
13 6
 
3.0%
Other values (49) 99
49.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 2
 
1.0%
3 1
 
0.5%
4 4
 
2.0%
5 10
5.0%
6 14
7.0%
7 10
5.0%
8 8
4.0%
9 16
8.0%
10 9
4.5%
ValueCountFrequency (%)
142 1
0.5%
104 1
0.5%
96 1
0.5%
86 1
0.5%
84 1
0.5%
81 1
0.5%
69 1
0.5%
67 1
0.5%
65 1
0.5%
64 1
0.5%

19.1
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.462312
Minimum0
Maximum159
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:48.936288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median14
Q325
95-th percentile47.4
Maximum159
Range159
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.533441
Coefficient of variation (CV)0.90089201
Kurtosis20.601583
Mean19.462312
Median Absolute Deviation (MAD)7
Skewness3.3941006
Sum3873
Variance307.42155
MonotonicityNot monotonic
2023-12-10T15:43:49.186419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 16
 
8.0%
6 12
 
6.0%
8 11
 
5.5%
24 9
 
4.5%
13 9
 
4.5%
7 9
 
4.5%
14 9
 
4.5%
12 8
 
4.0%
11 8
 
4.0%
5 7
 
3.5%
Other values (43) 101
50.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
4 4
 
2.0%
5 7
3.5%
6 12
6.0%
7 9
4.5%
8 11
5.5%
9 16
8.0%
10 7
3.5%
11 8
4.0%
ValueCountFrequency (%)
159 1
0.5%
89 1
0.5%
66 1
0.5%
64 1
0.5%
61 1
0.5%
59 1
0.5%
57 1
0.5%
56 1
0.5%
54 1
0.5%
51 1
0.5%

24.3
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.386935
Minimum0
Maximum162
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:49.420103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median15
Q328
95-th percentile51.1
Maximum162
Range162
Interquartile range (IQR)19

Descriptive statistics

Standard deviation19.956418
Coefficient of variation (CV)0.93311259
Kurtosis16.039288
Mean21.386935
Median Absolute Deviation (MAD)8
Skewness3.2376279
Sum4256
Variance398.25862
MonotonicityNot monotonic
2023-12-10T15:43:49.687963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 15
 
7.5%
11 14
 
7.0%
13 12
 
6.0%
6 10
 
5.0%
10 9
 
4.5%
14 8
 
4.0%
7 8
 
4.0%
16 7
 
3.5%
26 6
 
3.0%
12 5
 
2.5%
Other values (47) 105
52.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 2
 
1.0%
4 3
 
1.5%
5 5
 
2.5%
6 10
5.0%
7 8
4.0%
8 15
7.5%
9 5
 
2.5%
10 9
4.5%
ValueCountFrequency (%)
162 1
0.5%
119 1
0.5%
102 1
0.5%
98 1
0.5%
68 1
0.5%
63 1
0.5%
61 1
0.5%
59 1
0.5%
54 1
0.5%
52 1
0.5%

14.2
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.884422
Minimum0
Maximum139
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:49.976436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median13
Q319
95-th percentile36
Maximum139
Range139
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.778558
Coefficient of variation (CV)0.93038057
Kurtosis28.77
Mean15.884422
Median Absolute Deviation (MAD)6
Skewness4.3965024
Sum3161
Variance218.40577
MonotonicityNot monotonic
2023-12-10T15:43:50.218896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
9 22
 
11.1%
7 16
 
8.0%
13 14
 
7.0%
6 13
 
6.5%
15 12
 
6.0%
11 11
 
5.5%
8 11
 
5.5%
19 11
 
5.5%
12 8
 
4.0%
14 7
 
3.5%
Other values (32) 74
37.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 2
 
1.0%
3 3
 
1.5%
4 3
 
1.5%
5 4
 
2.0%
6 13
6.5%
7 16
8.0%
8 11
5.5%
9 22
11.1%
10 3
 
1.5%
ValueCountFrequency (%)
139 1
 
0.5%
94 1
 
0.5%
73 1
 
0.5%
72 1
 
0.5%
44 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
39 1
 
0.5%
36 3
1.5%
35 2
1.0%

5.7
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.386935
Minimum0
Maximum56
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:50.455888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median11
Q317
95-th percentile32.1
Maximum56
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.9618479
Coefficient of variation (CV)0.74414705
Kurtosis3.9754213
Mean13.386935
Median Absolute Deviation (MAD)5
Skewness1.7043187
Sum2664
Variance99.238414
MonotonicityNot monotonic
2023-12-10T15:43:50.669595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10 14
 
7.0%
14 13
 
6.5%
7 12
 
6.0%
5 12
 
6.0%
12 11
 
5.5%
11 10
 
5.0%
4 10
 
5.0%
9 9
 
4.5%
16 9
 
4.5%
2 9
 
4.5%
Other values (30) 90
45.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 9
4.5%
3 4
 
2.0%
4 10
5.0%
5 12
6.0%
6 6
3.0%
7 12
6.0%
8 9
4.5%
9 9
4.5%
ValueCountFrequency (%)
56 1
0.5%
54 1
0.5%
52 1
0.5%
49 1
0.5%
44 1
0.5%
38 1
0.5%
37 1
0.5%
34 1
0.5%
33 2
1.0%
32 1
0.5%

32
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.386935
Minimum0
Maximum320
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:50.900801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median15
Q339.5
95-th percentile118.8
Maximum320
Range320
Interquartile range (IQR)30.5

Descriptive statistics

Standard deviation43.457352
Coefficient of variation (CV)1.3418174
Kurtosis14.532372
Mean32.386935
Median Absolute Deviation (MAD)9
Skewness3.3259025
Sum6445
Variance1888.5414
MonotonicityNot monotonic
2023-12-10T15:43:51.119533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 13
 
6.5%
6 13
 
6.5%
7 9
 
4.5%
9 9
 
4.5%
11 9
 
4.5%
8 9
 
4.5%
5 8
 
4.0%
15 7
 
3.5%
10 6
 
3.0%
41 6
 
3.0%
Other values (62) 110
55.3%
ValueCountFrequency (%)
0 3
 
1.5%
2 2
 
1.0%
4 4
 
2.0%
5 8
4.0%
6 13
6.5%
7 9
4.5%
8 9
4.5%
9 9
4.5%
10 6
3.0%
11 9
4.5%
ValueCountFrequency (%)
320 1
0.5%
260 1
0.5%
211 1
0.5%
162 1
0.5%
161 1
0.5%
156 1
0.5%
149 1
0.5%
145 1
0.5%
130 1
0.5%
126 1
0.5%

11680610
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11546211
Minimum11305534
Maximum11680750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:51.359576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11305534
5-th percentile11305545
Q111500535
median11500641
Q311680610
95-th percentile11680702
Maximum11680750
Range375216
Interquartile range (IQR)180075

Descriptive statistics

Standard deviation148470.16
Coefficient of variation (CV)0.012858777
Kurtosis-1.1600348
Mean11546211
Median Absolute Deviation (MAD)179949
Skewness-0.5752652
Sum2.297696 × 109
Variance2.2043387 × 1010
MonotonicityNot monotonic
2023-12-10T15:43:51.658273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11680700 12
 
6.0%
11680545 10
 
5.0%
11680565 8
 
4.0%
11500620 8
 
4.0%
11680690 7
 
3.5%
11305645 7
 
3.5%
11680580 7
 
3.5%
11305545 6
 
3.0%
11680510 6
 
3.0%
11680610 5
 
2.5%
Other values (41) 123
61.8%
ValueCountFrequency (%)
11305534 2
 
1.0%
11305535 3
1.5%
11305545 6
3.0%
11305555 3
1.5%
11305595 3
1.5%
11305603 3
1.5%
11305608 1
 
0.5%
11305615 5
2.5%
11305625 1
 
0.5%
11305635 4
2.0%
ValueCountFrequency (%)
11680750 4
 
2.0%
11680740 1
 
0.5%
11680730 3
 
1.5%
11680720 2
 
1.0%
11680700 12
6.0%
11680690 7
3.5%
11680670 1
 
0.5%
11680656 3
 
1.5%
11680655 3
 
1.5%
11680650 3
 
1.5%

85.2
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.386935
Minimum1
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:51.900350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q323.5
95-th percentile73.1
Maximum265
Range264
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation30.554572
Coefficient of variation (CV)1.428656
Kurtosis22.2939
Mean21.386935
Median Absolute Deviation (MAD)6
Skewness3.875846
Sum4256
Variance933.58185
MonotonicityNot monotonic
2023-12-10T15:43:52.152509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 21
 
10.6%
3 16
 
8.0%
5 14
 
7.0%
4 13
 
6.5%
7 13
 
6.5%
9 9
 
4.5%
10 8
 
4.0%
8 7
 
3.5%
13 7
 
3.5%
2 5
 
2.5%
Other values (45) 86
43.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 5
 
2.5%
3 16
8.0%
4 13
6.5%
5 14
7.0%
6 21
10.6%
7 13
6.5%
8 7
 
3.5%
9 9
4.5%
10 8
 
4.0%
ValueCountFrequency (%)
265 1
 
0.5%
151 1
 
0.5%
130 1
 
0.5%
110 1
 
0.5%
109 1
 
0.5%
108 1
 
0.5%
92 1
 
0.5%
83 2
1.0%
74 1
 
0.5%
73 3
1.5%

20.9
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.271357
Minimum0
Maximum186
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:52.394188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median14
Q326
95-th percentile53.3
Maximum186
Range186
Interquartile range (IQR)17

Descriptive statistics

Standard deviation21.238348
Coefficient of variation (CV)0.99844819
Kurtosis19.074289
Mean21.271357
Median Absolute Deviation (MAD)8
Skewness3.3831342
Sum4233
Variance451.06741
MonotonicityNot monotonic
2023-12-10T15:43:52.637877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 12
 
6.0%
14 11
 
5.5%
7 11
 
5.5%
11 11
 
5.5%
10 10
 
5.0%
9 9
 
4.5%
12 8
 
4.0%
5 8
 
4.0%
17 7
 
3.5%
4 6
 
3.0%
Other values (43) 106
53.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
3 1
 
0.5%
4 6
3.0%
5 8
4.0%
6 12
6.0%
7 11
5.5%
8 6
3.0%
9 9
4.5%
10 10
5.0%
ValueCountFrequency (%)
186 1
0.5%
96 1
0.5%
91 1
0.5%
89 1
0.5%
85 1
0.5%
78 1
0.5%
70 1
0.5%
65 1
0.5%
62 1
0.5%
56 1
0.5%

38.2
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.442211
Minimum0
Maximum285
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:52.869374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median16
Q328
95-th percentile63.1
Maximum285
Range285
Interquartile range (IQR)19

Descriptive statistics

Standard deviation28.776313
Coefficient of variation (CV)1.2275426
Kurtosis38.582867
Mean23.442211
Median Absolute Deviation (MAD)9
Skewness5.1974702
Sum4665
Variance828.07619
MonotonicityNot monotonic
2023-12-10T15:43:53.091770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
7.5%
6 12
 
6.0%
7 10
 
5.0%
8 9
 
4.5%
13 9
 
4.5%
16 8
 
4.0%
5 8
 
4.0%
14 7
 
3.5%
9 7
 
3.5%
21 7
 
3.5%
Other values (49) 107
53.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
5 8
4.0%
6 12
6.0%
7 10
5.0%
8 9
4.5%
9 7
3.5%
ValueCountFrequency (%)
285 1
0.5%
167 1
0.5%
154 1
0.5%
93 1
0.5%
91 1
0.5%
77 1
0.5%
73 1
0.5%
71 2
1.0%
64 1
0.5%
63 1
0.5%

27.3
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.321608
Minimum0
Maximum180
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:53.289932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median13
Q321.5
95-th percentile44.1
Maximum180
Range180
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation17.611322
Coefficient of variation (CV)1.0167256
Kurtosis39.054488
Mean17.321608
Median Absolute Deviation (MAD)5
Skewness5.1056309
Sum3447
Variance310.15867
MonotonicityNot monotonic
2023-12-10T15:43:53.497574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
10 16
 
8.0%
12 15
 
7.5%
8 14
 
7.0%
13 14
 
7.0%
15 11
 
5.5%
7 10
 
5.0%
9 10
 
5.0%
23 8
 
4.0%
6 8
 
4.0%
11 7
 
3.5%
Other values (34) 86
43.2%
ValueCountFrequency (%)
0 3
 
1.5%
1 2
 
1.0%
3 1
 
0.5%
4 3
 
1.5%
5 7
3.5%
6 8
4.0%
7 10
5.0%
8 14
7.0%
9 10
5.0%
10 16
8.0%
ValueCountFrequency (%)
180 1
0.5%
91 2
1.0%
73 1
0.5%
53 1
0.5%
51 1
0.5%
47 1
0.5%
46 1
0.5%
45 2
1.0%
44 1
0.5%
42 2
1.0%

11.1
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.648241
Minimum0
Maximum66
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:54.142125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q321
95-th percentile37.1
Maximum66
Range66
Interquartile range (IQR)14

Descriptive statistics

Standard deviation11.998185
Coefficient of variation (CV)0.76674337
Kurtosis3.6664053
Mean15.648241
Median Absolute Deviation (MAD)7
Skewness1.6250858
Sum3114
Variance143.95645
MonotonicityNot monotonic
2023-12-10T15:43:54.367062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
12 11
 
5.5%
7 11
 
5.5%
6 9
 
4.5%
16 9
 
4.5%
2 9
 
4.5%
14 9
 
4.5%
4 8
 
4.0%
17 8
 
4.0%
9 8
 
4.0%
8 7
 
3.5%
Other values (35) 110
55.3%
ValueCountFrequency (%)
0 3
 
1.5%
1 3
 
1.5%
2 9
4.5%
3 6
3.0%
4 8
4.0%
5 6
3.0%
6 9
4.5%
7 11
5.5%
8 7
3.5%
9 8
4.0%
ValueCountFrequency (%)
66 1
0.5%
64 1
0.5%
61 1
0.5%
60 1
0.5%
48 1
0.5%
46 2
1.0%
42 1
0.5%
41 1
0.5%
38 1
0.5%
37 2
1.0%

17.4
Real number (ℝ)

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.939698
Minimum1
Maximum350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:54.594851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17
Q137
median58
Q383
95-th percentile145.8
Maximum350
Range349
Interquartile range (IQR)46

Descriptive statistics

Standard deviation45.415438
Coefficient of variation (CV)0.67845298
Kurtosis8.6781599
Mean66.939698
Median Absolute Deviation (MAD)23
Skewness2.2194598
Sum13321
Variance2062.562
MonotonicityNot monotonic
2023-12-10T15:43:54.788746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37 7
 
3.5%
45 5
 
2.5%
55 5
 
2.5%
81 4
 
2.0%
29 4
 
2.0%
92 4
 
2.0%
35 4
 
2.0%
50 4
 
2.0%
76 4
 
2.0%
64 4
 
2.0%
Other values (90) 154
77.4%
ValueCountFrequency (%)
1 1
 
0.5%
4 1
 
0.5%
6 2
1.0%
9 1
 
0.5%
11 1
 
0.5%
12 1
 
0.5%
13 1
 
0.5%
16 1
 
0.5%
17 3
1.5%
20 3
1.5%
ValueCountFrequency (%)
350 1
0.5%
243 1
0.5%
233 1
0.5%
199 1
0.5%
190 1
0.5%
179 1
0.5%
162 1
0.5%
160 1
0.5%
156 1
0.5%
153 1
0.5%

19.2
Real number (ℝ)

Distinct108
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.959799
Minimum0
Maximum403
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:54.998008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.9
Q135
median57
Q381
95-th percentile176.6
Maximum403
Range403
Interquartile range (IQR)46

Descriptive statistics

Standard deviation54.773163
Coefficient of variation (CV)0.79427672
Kurtosis9.7332252
Mean68.959799
Median Absolute Deviation (MAD)23
Skewness2.5506857
Sum13723
Variance3000.0994
MonotonicityNot monotonic
2023-12-10T15:43:55.231152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41 6
 
3.0%
62 5
 
2.5%
70 5
 
2.5%
27 5
 
2.5%
100 4
 
2.0%
55 4
 
2.0%
73 4
 
2.0%
67 4
 
2.0%
61 4
 
2.0%
22 4
 
2.0%
Other values (98) 154
77.4%
ValueCountFrequency (%)
0 1
0.5%
2 1
0.5%
5 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
12 2
1.0%
13 1
0.5%
14 1
0.5%
15 1
0.5%
ValueCountFrequency (%)
403 1
0.5%
316 1
0.5%
274 2
1.0%
211 1
0.5%
201 1
0.5%
200 1
0.5%
186 2
1.0%
182 1
0.5%
176 1
0.5%
163 1
0.5%

4.7
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.738693
Minimum0
Maximum60
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:55.451772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q17
median11
Q316.5
95-th percentile36
Maximum60
Range60
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.9454096
Coefficient of variation (CV)0.72389777
Kurtosis3.9368672
Mean13.738693
Median Absolute Deviation (MAD)5
Skewness1.7713549
Sum2734
Variance98.911172
MonotonicityNot monotonic
2023-12-10T15:43:55.699573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
11 17
 
8.5%
10 17
 
8.5%
6 16
 
8.0%
5 14
 
7.0%
9 12
 
6.0%
7 11
 
5.5%
13 9
 
4.5%
15 9
 
4.5%
12 9
 
4.5%
8 9
 
4.5%
Other values (31) 76
38.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 5
 
2.5%
3 2
 
1.0%
4 4
 
2.0%
5 14
7.0%
6 16
8.0%
7 11
5.5%
8 9
4.5%
9 12
6.0%
ValueCountFrequency (%)
60 1
 
0.5%
57 1
 
0.5%
42 1
 
0.5%
41 2
1.0%
39 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
36 3
1.5%
34 2
1.0%
33 1
 
0.5%

2.5
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.698492
Minimum0
Maximum59
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:55.885688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q316
95-th percentile28.2
Maximum59
Range59
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.7032763
Coefficient of variation (CV)0.6853787
Kurtosis5.2231441
Mean12.698492
Median Absolute Deviation (MAD)4
Skewness1.8593028
Sum2527
Variance75.747018
MonotonicityNot monotonic
2023-12-10T15:43:56.120169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
10 17
 
8.5%
8 17
 
8.5%
5 15
 
7.5%
7 14
 
7.0%
13 13
 
6.5%
18 10
 
5.0%
6 10
 
5.0%
9 10
 
5.0%
12 9
 
4.5%
11 9
 
4.5%
Other values (24) 75
37.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 4
 
2.0%
3 5
 
2.5%
4 6
 
3.0%
5 15
7.5%
6 10
5.0%
7 14
7.0%
8 17
8.5%
9 10
5.0%
ValueCountFrequency (%)
59 1
 
0.5%
45 2
1.0%
38 1
 
0.5%
35 3
1.5%
34 2
1.0%
30 1
 
0.5%
28 2
1.0%
27 2
1.0%
26 1
 
0.5%
25 1
 
0.5%

5.8
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.502513
Minimum0
Maximum74
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:56.336398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q318
95-th percentile32.1
Maximum74
Range74
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.171198
Coefficient of variation (CV)0.70134043
Kurtosis7.1476375
Mean14.502513
Median Absolute Deviation (MAD)5
Skewness2.1318592
Sum2886
Variance103.45328
MonotonicityNot monotonic
2023-12-10T15:43:56.592980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
10 17
 
8.5%
7 13
 
6.5%
6 13
 
6.5%
11 13
 
6.5%
8 12
 
6.0%
12 10
 
5.0%
14 10
 
5.0%
16 10
 
5.0%
15 9
 
4.5%
9 8
 
4.0%
Other values (30) 84
42.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 4
 
2.0%
3 1
 
0.5%
4 6
3.0%
5 7
3.5%
6 13
6.5%
7 13
6.5%
8 12
6.0%
9 8
4.0%
ValueCountFrequency (%)
74 1
 
0.5%
52 1
 
0.5%
50 1
 
0.5%
49 1
 
0.5%
47 1
 
0.5%
40 1
 
0.5%
36 2
1.0%
33 2
1.0%
32 1
 
0.5%
31 3
1.5%

4.8
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.954774
Minimum0
Maximum121
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:56.804774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median11
Q315
95-th percentile29.1
Maximum121
Range121
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.064346
Coefficient of variation (CV)0.93126644
Kurtosis34.488655
Mean12.954774
Median Absolute Deviation (MAD)4
Skewness4.6929394
Sum2578
Variance145.54845
MonotonicityNot monotonic
2023-12-10T15:43:57.069922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
7 23
 
11.6%
6 16
 
8.0%
13 16
 
8.0%
11 15
 
7.5%
9 13
 
6.5%
12 13
 
6.5%
3 9
 
4.5%
4 8
 
4.0%
15 7
 
3.5%
14 7
 
3.5%
Other values (27) 72
36.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 5
 
2.5%
3 9
 
4.5%
4 8
 
4.0%
5 5
 
2.5%
6 16
8.0%
7 23
11.6%
8 6
 
3.0%
9 13
6.5%
ValueCountFrequency (%)
121 1
0.5%
65 1
0.5%
61 1
0.5%
44 2
1.0%
38 1
0.5%
36 1
0.5%
35 1
0.5%
32 1
0.5%
30 1
0.5%
29 2
1.0%

101.1
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.708543
Minimum1
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:57.317260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median11
Q323
95-th percentile82
Maximum160
Range159
Interquartile range (IQR)17

Descriptive statistics

Standard deviation25.866313
Coefficient of variation (CV)1.2490649
Kurtosis7.4153445
Mean20.708543
Median Absolute Deviation (MAD)6
Skewness2.5724881
Sum4121
Variance669.06614
MonotonicityNot monotonic
2023-12-10T15:43:57.560606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 14
 
7.0%
3 14
 
7.0%
7 14
 
7.0%
5 14
 
7.0%
8 13
 
6.5%
6 12
 
6.0%
16 11
 
5.5%
12 11
 
5.5%
9 8
 
4.0%
10 5
 
2.5%
Other values (48) 83
41.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 3
 
1.5%
3 14
7.0%
4 14
7.0%
5 14
7.0%
6 12
6.0%
7 14
7.0%
8 13
6.5%
9 8
4.0%
10 5
 
2.5%
ValueCountFrequency (%)
160 1
0.5%
130 1
0.5%
111 1
0.5%
104 1
0.5%
103 1
0.5%
102 1
0.5%
100 1
0.5%
99 1
0.5%
98 1
0.5%
82 2
1.0%

1.4
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.708543
Minimum0
Maximum90
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:57.763033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q317.5
95-th percentile31.1
Maximum90
Range90
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation11.713132
Coefficient of variation (CV)0.92167386
Kurtosis11.47421
Mean12.708543
Median Absolute Deviation (MAD)6
Skewness2.5733329
Sum2529
Variance137.19745
MonotonicityNot monotonic
2023-12-10T15:43:57.957360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 19
 
9.5%
4 18
 
9.0%
16 10
 
5.0%
2 10
 
5.0%
15 9
 
4.5%
1 9
 
4.5%
5 9
 
4.5%
7 8
 
4.0%
9 8
 
4.0%
10 8
 
4.0%
Other values (28) 91
45.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 9
4.5%
2 10
5.0%
3 19
9.5%
4 18
9.0%
5 9
4.5%
6 6
 
3.0%
7 8
4.0%
8 4
 
2.0%
9 8
4.0%
ValueCountFrequency (%)
90 1
0.5%
66 1
0.5%
57 1
0.5%
48 1
0.5%
39 2
1.0%
37 1
0.5%
34 2
1.0%
32 1
0.5%
31 1
0.5%
30 2
1.0%

3.13
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.773869
Minimum0
Maximum100
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:58.182090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q18
median12
Q318
95-th percentile41
Maximum100
Range100
Interquartile range (IQR)10

Descriptive statistics

Standard deviation13.381131
Coefficient of variation (CV)0.84830999
Kurtosis10.613468
Mean15.773869
Median Absolute Deviation (MAD)5
Skewness2.6933104
Sum3139
Variance179.05467
MonotonicityNot monotonic
2023-12-10T15:43:58.399235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
11 17
 
8.5%
6 13
 
6.5%
12 12
 
6.0%
7 12
 
6.0%
8 11
 
5.5%
10 11
 
5.5%
14 11
 
5.5%
5 10
 
5.0%
13 10
 
5.0%
9 9
 
4.5%
Other values (36) 83
41.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 2
 
1.0%
3 4
 
2.0%
4 2
 
1.0%
5 10
5.0%
6 13
6.5%
7 12
6.0%
8 11
5.5%
9 9
4.5%
ValueCountFrequency (%)
100 1
0.5%
79 1
0.5%
67 1
0.5%
56 1
0.5%
48 2
1.0%
47 1
0.5%
45 1
0.5%
42 1
0.5%
41 2
1.0%
40 1
0.5%

3.14
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.432161
Minimum0
Maximum75
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:58.591967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q315
95-th percentile33.3
Maximum75
Range75
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.637943
Coefficient of variation (CV)0.85567932
Kurtosis8.5291355
Mean12.432161
Median Absolute Deviation (MAD)4
Skewness2.4974417
Sum2474
Variance113.16583
MonotonicityNot monotonic
2023-12-10T15:43:58.809567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 18
 
9.0%
7 16
 
8.0%
6 16
 
8.0%
11 15
 
7.5%
13 12
 
6.0%
4 11
 
5.5%
10 10
 
5.0%
12 10
 
5.0%
9 10
 
5.0%
8 8
 
4.0%
Other values (29) 73
36.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 4
 
2.0%
3 7
 
3.5%
4 11
5.5%
5 18
9.0%
6 16
8.0%
7 16
8.0%
8 8
4.0%
9 10
5.0%
ValueCountFrequency (%)
75 1
0.5%
58 1
0.5%
52 1
0.5%
47 1
0.5%
44 1
0.5%
42 2
1.0%
38 1
0.5%
37 1
0.5%
36 1
0.5%
33 1
0.5%

7.6
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.482412
Minimum0
Maximum138
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:59.010862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q316.5
95-th percentile40.3
Maximum138
Range138
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation15.399017
Coefficient of variation (CV)1.0632909
Kurtosis24.159358
Mean14.482412
Median Absolute Deviation (MAD)5
Skewness4.0625779
Sum2882
Variance237.12974
MonotonicityNot monotonic
2023-12-10T15:43:59.160262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
7 16
 
8.0%
6 15
 
7.5%
10 14
 
7.0%
5 14
 
7.0%
11 12
 
6.0%
9 11
 
5.5%
15 10
 
5.0%
3 10
 
5.0%
13 10
 
5.0%
8 9
 
4.5%
Other values (34) 78
39.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 1
 
0.5%
3 10
5.0%
4 8
4.0%
5 14
7.0%
6 15
7.5%
7 16
8.0%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
138 1
0.5%
91 1
0.5%
67 1
0.5%
62 1
0.5%
58 1
0.5%
56 1
0.5%
53 1
0.5%
47 1
0.5%
46 1
0.5%
43 1
0.5%

5.9
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.512563
Minimum0
Maximum141
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:59.342710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q315
95-th percentile27.1
Maximum141
Range141
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.360525
Coefficient of variation (CV)1.0677689
Kurtosis45.566092
Mean12.512563
Median Absolute Deviation (MAD)5
Skewness5.5433983
Sum2490
Variance178.50363
MonotonicityNot monotonic
2023-12-10T15:43:59.539959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 14
 
7.0%
3 14
 
7.0%
5 14
 
7.0%
11 13
 
6.5%
8 13
 
6.5%
13 13
 
6.5%
12 13
 
6.5%
15 12
 
6.0%
7 11
 
5.5%
4 8
 
4.0%
Other values (26) 74
37.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
2 7
3.5%
3 14
7.0%
4 8
4.0%
5 14
7.0%
6 14
7.0%
7 11
5.5%
8 13
6.5%
9 7
3.5%
ValueCountFrequency (%)
141 1
0.5%
71 1
0.5%
66 1
0.5%
50 1
0.5%
46 1
0.5%
41 1
0.5%
36 1
0.5%
30 1
0.5%
29 1
0.5%
28 1
0.5%

2.6
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.21608
Minimum0
Maximum109
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:43:59.788530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median11
Q321
95-th percentile37
Maximum109
Range109
Interquartile range (IQR)18

Descriptive statistics

Standard deviation14.627653
Coefficient of variation (CV)1.0289512
Kurtosis10.381686
Mean14.21608
Median Absolute Deviation (MAD)8
Skewness2.4189598
Sum2829
Variance213.96822
MonotonicityNot monotonic
2023-12-10T15:44:00.010362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 20
 
10.1%
2 19
 
9.5%
3 16
 
8.0%
4 12
 
6.0%
14 9
 
4.5%
19 7
 
3.5%
17 6
 
3.0%
8 5
 
2.5%
11 5
 
2.5%
18 5
 
2.5%
Other values (33) 95
47.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 20
10.1%
2 19
9.5%
3 16
8.0%
4 12
6.0%
5 5
 
2.5%
6 5
 
2.5%
7 5
 
2.5%
8 5
 
2.5%
9 4
 
2.0%
ValueCountFrequency (%)
109 1
0.5%
81 1
0.5%
65 1
0.5%
53 1
0.5%
48 2
1.0%
44 1
0.5%
42 2
1.0%
37 2
1.0%
36 1
0.5%
35 2
1.0%

18.4
Real number (ℝ)

Distinct84
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.030151
Minimum0
Maximum407
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:00.214337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q123
median32
Q355.5
95-th percentile117.5
Maximum407
Range407
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation45.083638
Coefficient of variation (CV)0.97943712
Kurtosis22.731921
Mean46.030151
Median Absolute Deviation (MAD)13
Skewness3.8546806
Sum9160
Variance2032.5344
MonotonicityNot monotonic
2023-12-10T15:44:00.475074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 12
 
6.0%
25 9
 
4.5%
30 9
 
4.5%
29 7
 
3.5%
23 6
 
3.0%
16 6
 
3.0%
21 6
 
3.0%
37 5
 
2.5%
27 5
 
2.5%
35 5
 
2.5%
Other values (74) 129
64.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
10 1
 
0.5%
11 2
1.0%
12 2
1.0%
13 3
1.5%
ValueCountFrequency (%)
407 1
0.5%
241 1
0.5%
197 1
0.5%
191 1
0.5%
180 1
0.5%
160 1
0.5%
156 1
0.5%
151 1
0.5%
138 1
0.5%
122 1
0.5%

36.3
Real number (ℝ)

Distinct89
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.949749
Minimum0
Maximum658
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:01.199612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13
Q124
median35
Q360.5
95-th percentile157.8
Maximum658
Range658
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation67.998347
Coefficient of variation (CV)1.2374642
Kurtosis36.537289
Mean54.949749
Median Absolute Deviation (MAD)15
Skewness5.1177741
Sum10935
Variance4623.7752
MonotonicityNot monotonic
2023-12-10T15:44:01.421700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 9
 
4.5%
17 7
 
3.5%
25 6
 
3.0%
32 6
 
3.0%
29 6
 
3.0%
24 6
 
3.0%
26 6
 
3.0%
34 5
 
2.5%
37 5
 
2.5%
45 5
 
2.5%
Other values (79) 138
69.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
8 1
 
0.5%
11 2
1.0%
12 1
 
0.5%
13 4
2.0%
14 2
1.0%
15 4
2.0%
ValueCountFrequency (%)
658 1
0.5%
447 1
0.5%
272 1
0.5%
251 1
0.5%
222 1
0.5%
206 1
0.5%
198 1
0.5%
184 1
0.5%
182 1
0.5%
165 1
0.5%

2.7
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7236181
Minimum0
Maximum63
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:01.650324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13.5
median5
Q39.5
95-th percentile25.1
Maximum63
Range63
Interquartile range (IQR)6

Descriptive statistics

Standard deviation9.1810628
Coefficient of variation (CV)1.0524375
Kurtosis9.7091431
Mean8.7236181
Median Absolute Deviation (MAD)2
Skewness2.7809429
Sum1736
Variance84.291914
MonotonicityNot monotonic
2023-12-10T15:44:01.850522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
3 31
15.6%
5 28
14.1%
4 24
12.1%
6 17
 
8.5%
9 13
 
6.5%
2 11
 
5.5%
7 11
 
5.5%
11 7
 
3.5%
8 6
 
3.0%
1 6
 
3.0%
Other values (21) 45
22.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 6
 
3.0%
2 11
 
5.5%
3 31
15.6%
4 24
12.1%
5 28
14.1%
6 17
8.5%
7 11
 
5.5%
8 6
 
3.0%
9 13
6.5%
ValueCountFrequency (%)
63 1
 
0.5%
48 2
1.0%
39 2
1.0%
38 1
 
0.5%
37 1
 
0.5%
27 1
 
0.5%
26 2
1.0%
25 2
1.0%
24 3
1.5%
22 3
1.5%

3.15
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4572864
Minimum0
Maximum58
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:02.059790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q312
95-th percentile26.1
Maximum58
Range58
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.8086811
Coefficient of variation (CV)0.9314174
Kurtosis7.9655365
Mean9.4572864
Median Absolute Deviation (MAD)3
Skewness2.4801144
Sum1882
Variance77.592863
MonotonicityNot monotonic
2023-12-10T15:44:02.245208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 25
12.6%
6 22
11.1%
3 20
10.1%
5 19
 
9.5%
8 18
 
9.0%
7 15
 
7.5%
2 10
 
5.0%
10 8
 
4.0%
13 7
 
3.5%
17 6
 
3.0%
Other values (24) 49
24.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
2 10
 
5.0%
3 20
10.1%
4 25
12.6%
5 19
9.5%
6 22
11.1%
7 15
7.5%
8 18
9.0%
9 4
 
2.0%
ValueCountFrequency (%)
58 1
0.5%
51 1
0.5%
42 1
0.5%
40 1
0.5%
38 1
0.5%
36 1
0.5%
29 1
0.5%
28 2
1.0%
27 1
0.5%
26 2
1.0%

128.1
Real number (ℝ)

Distinct60
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.025126
Minimum1
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:02.469165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median12
Q327
95-th percentile95.2
Maximum163
Range162
Interquartile range (IQR)21

Descriptive statistics

Standard deviation28.301129
Coefficient of variation (CV)1.2291411
Kurtosis7.2239644
Mean23.025126
Median Absolute Deviation (MAD)7
Skewness2.5730373
Sum4582
Variance800.95391
MonotonicityNot monotonic
2023-12-10T15:44:02.733835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 15
 
7.5%
5 15
 
7.5%
7 14
 
7.0%
6 12
 
6.0%
9 9
 
4.5%
11 8
 
4.0%
3 8
 
4.0%
8 7
 
3.5%
16 6
 
3.0%
14 6
 
3.0%
Other values (50) 99
49.7%
ValueCountFrequency (%)
1 2
 
1.0%
2 2
 
1.0%
3 8
4.0%
4 15
7.5%
5 15
7.5%
6 12
6.0%
7 14
7.0%
8 7
3.5%
9 9
4.5%
10 5
 
2.5%
ValueCountFrequency (%)
163 1
0.5%
146 1
0.5%
138 1
0.5%
127 1
0.5%
110 2
1.0%
108 1
0.5%
107 1
0.5%
103 1
0.5%
97 1
0.5%
95 1
0.5%

6.3
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.879397
Minimum0
Maximum146
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:02.978398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q15
median7
Q314
95-th percentile32
Maximum146
Range146
Interquartile range (IQR)9

Descriptive statistics

Standard deviation15.007255
Coefficient of variation (CV)1.2633011
Kurtosis35.777212
Mean11.879397
Median Absolute Deviation (MAD)3
Skewness5.0126116
Sum2364
Variance225.2177
MonotonicityNot monotonic
2023-12-10T15:44:03.181932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 26
13.1%
7 21
 
10.6%
3 19
 
9.5%
6 17
 
8.5%
4 13
 
6.5%
8 11
 
5.5%
10 10
 
5.0%
13 8
 
4.0%
9 7
 
3.5%
2 7
 
3.5%
Other values (29) 60
30.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 7
 
3.5%
3 19
9.5%
4 13
6.5%
5 26
13.1%
6 17
8.5%
7 21
10.6%
8 11
5.5%
9 7
 
3.5%
ValueCountFrequency (%)
146 1
0.5%
87 1
0.5%
67 1
0.5%
58 1
0.5%
56 1
0.5%
51 1
0.5%
43 1
0.5%
37 1
0.5%
34 1
0.5%
32 2
1.0%

5.10
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7537688
Minimum0
Maximum178
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:03.387650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39
95-th percentile20
Maximum178
Range178
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.159791
Coefficient of variation (CV)1.6175651
Kurtosis104.70888
Mean8.7537688
Median Absolute Deviation (MAD)3
Skewness9.1873416
Sum1742
Variance200.49967
MonotonicityNot monotonic
2023-12-10T15:44:03.587316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 28
14.1%
4 27
13.6%
5 25
12.6%
6 20
10.1%
9 15
 
7.5%
7 14
 
7.0%
8 10
 
5.0%
10 8
 
4.0%
2 8
 
4.0%
11 6
 
3.0%
Other values (18) 38
19.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 8
 
4.0%
3 28
14.1%
4 27
13.6%
5 25
12.6%
6 20
10.1%
7 14
7.0%
8 10
 
5.0%
9 15
7.5%
ValueCountFrequency (%)
178 1
 
0.5%
61 1
 
0.5%
44 1
 
0.5%
42 1
 
0.5%
39 1
 
0.5%
30 1
 
0.5%
27 1
 
0.5%
22 1
 
0.5%
20 4
2.0%
18 1
 
0.5%

2.8
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0251256
Minimum0
Maximum41
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:03.789850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median6
Q39
95-th percentile16
Maximum41
Range41
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.4033633
Coefficient of variation (CV)0.76914828
Kurtosis11.019108
Mean7.0251256
Median Absolute Deviation (MAD)3
Skewness2.6055444
Sum1398
Variance29.196335
MonotonicityNot monotonic
2023-12-10T15:44:03.999770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5 25
12.6%
7 21
10.6%
3 19
9.5%
2 19
9.5%
6 18
9.0%
8 16
8.0%
4 16
8.0%
10 13
6.5%
9 12
 
6.0%
1 9
 
4.5%
Other values (14) 31
15.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 9
 
4.5%
2 19
9.5%
3 19
9.5%
4 16
8.0%
5 25
12.6%
6 18
9.0%
7 21
10.6%
8 16
8.0%
9 12
6.0%
ValueCountFrequency (%)
41 1
 
0.5%
32 1
 
0.5%
30 1
 
0.5%
26 1
 
0.5%
22 1
 
0.5%
18 2
 
1.0%
17 1
 
0.5%
16 3
1.5%
15 2
 
1.0%
14 5
2.5%

4.9
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.125628
Minimum0
Maximum202
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:04.204787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q313
95-th percentile46.1
Maximum202
Range202
Interquartile range (IQR)9

Descriptive statistics

Standard deviation19.820643
Coefficient of variation (CV)1.5100719
Kurtosis42.365372
Mean13.125628
Median Absolute Deviation (MAD)3
Skewness5.2995218
Sum2612
Variance392.85788
MonotonicityNot monotonic
2023-12-10T15:44:04.444396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4 24
12.1%
5 23
 
11.6%
3 19
 
9.5%
6 19
 
9.5%
8 14
 
7.0%
9 11
 
5.5%
2 11
 
5.5%
7 8
 
4.0%
12 7
 
3.5%
11 5
 
2.5%
Other values (35) 58
29.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
 
2.0%
2 11
5.5%
3 19
9.5%
4 24
12.1%
5 23
11.6%
6 19
9.5%
7 8
 
4.0%
8 14
7.0%
9 11
5.5%
ValueCountFrequency (%)
202 1
 
0.5%
84 1
 
0.5%
72 1
 
0.5%
63 1
 
0.5%
62 1
 
0.5%
61 1
 
0.5%
57 2
1.0%
55 1
 
0.5%
47 1
 
0.5%
46 3
1.5%

5.11
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.929648
Minimum0
Maximum90
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:04.689267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q313.5
95-th percentile35.1
Maximum90
Range90
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation12.279369
Coefficient of variation (CV)1.1234917
Kurtosis12.438348
Mean10.929648
Median Absolute Deviation (MAD)4
Skewness3.0722761
Sum2175
Variance150.7829
MonotonicityNot monotonic
2023-12-10T15:44:04.893922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 26
13.1%
5 21
 
10.6%
7 21
 
10.6%
6 20
 
10.1%
4 17
 
8.5%
2 9
 
4.5%
9 7
 
3.5%
8 7
 
3.5%
10 6
 
3.0%
16 6
 
3.0%
Other values (28) 59
29.6%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
2 9
 
4.5%
3 26
13.1%
4 17
8.5%
5 21
10.6%
6 20
10.1%
7 21
10.6%
8 7
 
3.5%
9 7
 
3.5%
ValueCountFrequency (%)
90 1
0.5%
64 1
0.5%
63 1
0.5%
62 1
0.5%
44 1
0.5%
42 2
1.0%
39 1
0.5%
37 1
0.5%
36 1
0.5%
35 2
1.0%

13.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.417085
Minimum0
Maximum291
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:05.104187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q315
95-th percentile42.1
Maximum291
Range291
Interquartile range (IQR)10

Descriptive statistics

Standard deviation25.22909
Coefficient of variation (CV)1.8803704
Kurtosis78.959715
Mean13.417085
Median Absolute Deviation (MAD)3
Skewness7.9526648
Sum2670
Variance636.50698
MonotonicityNot monotonic
2023-12-10T15:44:05.321532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5 23
 
11.6%
7 20
 
10.1%
3 19
 
9.5%
8 17
 
8.5%
6 16
 
8.0%
4 14
 
7.0%
9 10
 
5.0%
2 9
 
4.5%
11 7
 
3.5%
17 6
 
3.0%
Other values (31) 58
29.1%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 9
 
4.5%
3 19
9.5%
4 14
7.0%
5 23
11.6%
6 16
8.0%
7 20
10.1%
8 17
8.5%
9 10
5.0%
ValueCountFrequency (%)
291 1
0.5%
154 1
0.5%
83 1
0.5%
80 1
0.5%
54 1
0.5%
52 1
0.5%
50 1
0.5%
45 1
0.5%
44 1
0.5%
43 1
0.5%

9.2
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2914573
Minimum0
Maximum204
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:05.542025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median6
Q39.5
95-th percentile22.1
Maximum204
Range204
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation15.894077
Coefficient of variation (CV)1.7106119
Kurtosis115.30571
Mean9.2914573
Median Absolute Deviation (MAD)2
Skewness9.7536551
Sum1849
Variance252.62169
MonotonicityNot monotonic
2023-12-10T15:44:05.743822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
5 29
14.6%
4 23
11.6%
6 22
11.1%
3 21
10.6%
7 17
8.5%
9 15
 
7.5%
8 9
 
4.5%
11 9
 
4.5%
12 8
 
4.0%
2 8
 
4.0%
Other values (20) 38
19.1%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 8
 
4.0%
3 21
10.6%
4 23
11.6%
5 29
14.6%
6 22
11.1%
7 17
8.5%
8 9
 
4.5%
9 15
7.5%
ValueCountFrequency (%)
204 1
0.5%
64 1
0.5%
49 1
0.5%
37 1
0.5%
36 2
1.0%
30 1
0.5%
24 1
0.5%
23 2
1.0%
22 1
0.5%
21 1
0.5%

5.12
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4271357
Minimum0
Maximum53
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:05.949799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q14
median7
Q311
95-th percentile19
Maximum53
Range53
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.928456
Coefficient of variation (CV)0.82216025
Kurtosis15.379247
Mean8.4271357
Median Absolute Deviation (MAD)3
Skewness3.1182843
Sum1677
Variance48.003502
MonotonicityNot monotonic
2023-12-10T15:44:06.148891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
6 19
9.5%
9 17
 
8.5%
3 17
 
8.5%
4 16
 
8.0%
2 16
 
8.0%
7 16
 
8.0%
10 14
 
7.0%
5 13
 
6.5%
8 12
 
6.0%
11 12
 
6.0%
Other values (17) 47
23.6%
ValueCountFrequency (%)
0 2
 
1.0%
1 6
 
3.0%
2 16
8.0%
3 17
8.5%
4 16
8.0%
5 13
6.5%
6 19
9.5%
7 16
8.0%
8 12
6.0%
9 17
8.5%
ValueCountFrequency (%)
53 1
 
0.5%
50 1
 
0.5%
37 1
 
0.5%
30 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
22 2
1.0%
20 1
 
0.5%
19 2
1.0%
17 3
1.5%

52
Real number (ℝ)

Distinct112
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.748744
Minimum1
Maximum805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:06.328826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile16.9
Q132
median53
Q3116.5
95-th percentile252.4
Maximum805
Range804
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation97.575183
Coefficient of variation (CV)1.0872039
Kurtosis15.699085
Mean89.748744
Median Absolute Deviation (MAD)27
Skewness3.1484573
Sum17860
Variance9520.9163
MonotonicityNot monotonic
2023-12-10T15:44:06.526980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 7
 
3.5%
21 6
 
3.0%
46 6
 
3.0%
78 6
 
3.0%
36 6
 
3.0%
20 5
 
2.5%
38 4
 
2.0%
55 4
 
2.0%
43 4
 
2.0%
30 4
 
2.0%
Other values (102) 147
73.9%
ValueCountFrequency (%)
1 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
13 1
 
0.5%
15 3
1.5%
16 2
 
1.0%
17 2
 
1.0%
19 3
1.5%
20 5
2.5%
ValueCountFrequency (%)
805 1
0.5%
491 1
0.5%
407 1
0.5%
363 1
0.5%
343 1
0.5%
333 1
0.5%
320 1
0.5%
303 1
0.5%
300 1
0.5%
292 1
0.5%

100
Real number (ℝ)

Distinct122
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean113.82412
Minimum1
Maximum1305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:06.688860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.9
Q135
median57
Q3130.5
95-th percentile351.4
Maximum1305
Range1304
Interquartile range (IQR)95.5

Descriptive statistics

Standard deviation151.84453
Coefficient of variation (CV)1.3340277
Kurtosis23.760057
Mean113.82412
Median Absolute Deviation (MAD)32
Skewness4.0540634
Sum22651
Variance23056.762
MonotonicityNot monotonic
2023-12-10T15:44:06.840983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 8
 
4.0%
39 6
 
3.0%
21 5
 
2.5%
40 5
 
2.5%
32 4
 
2.0%
55 4
 
2.0%
44 4
 
2.0%
24 3
 
1.5%
47 3
 
1.5%
31 3
 
1.5%
Other values (112) 154
77.4%
ValueCountFrequency (%)
1 1
 
0.5%
7 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
14 1
 
0.5%
15 3
1.5%
16 1
 
0.5%
17 1
 
0.5%
18 2
1.0%
19 1
 
0.5%
ValueCountFrequency (%)
1305 1
0.5%
968 1
0.5%
594 1
0.5%
537 1
0.5%
527 1
0.5%
489 1
0.5%
464 1
0.5%
400 1
0.5%
375 1
0.5%
364 1
0.5%

66
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.442211
Minimum2
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:06.992978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q317.5
95-th percentile54.1
Maximum137
Range135
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation17.429959
Coefficient of variation (CV)1.1287217
Kurtosis15.410577
Mean15.442211
Median Absolute Deviation (MAD)5
Skewness3.3999258
Sum3073
Variance303.80346
MonotonicityNot monotonic
2023-12-10T15:44:07.158121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4 20
 
10.1%
7 17
 
8.5%
9 16
 
8.0%
5 14
 
7.0%
8 13
 
6.5%
6 11
 
5.5%
13 9
 
4.5%
3 8
 
4.0%
17 7
 
3.5%
10 7
 
3.5%
Other values (35) 77
38.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 8
 
4.0%
4 20
10.1%
5 14
7.0%
6 11
5.5%
7 17
8.5%
8 13
6.5%
9 16
8.0%
10 7
 
3.5%
11 4
 
2.0%
ValueCountFrequency (%)
137 1
0.5%
93 1
0.5%
80 1
0.5%
79 1
0.5%
76 1
0.5%
65 1
0.5%
59 1
0.5%
58 1
0.5%
56 1
0.5%
55 1
0.5%

9.3
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.613065
Minimum0
Maximum172
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:07.305221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median10
Q324
95-th percentile76.3
Maximum172
Range172
Interquartile range (IQR)19

Descriptive statistics

Standard deviation24.09338
Coefficient of variation (CV)1.2284352
Kurtosis9.1674807
Mean19.613065
Median Absolute Deviation (MAD)6
Skewness2.6061527
Sum3903
Variance580.49094
MonotonicityNot monotonic
2023-12-10T15:44:07.466562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 18
 
9.0%
6 18
 
9.0%
5 17
 
8.5%
4 11
 
5.5%
7 10
 
5.0%
8 10
 
5.0%
10 8
 
4.0%
14 7
 
3.5%
9 6
 
3.0%
13 6
 
3.0%
Other values (51) 88
44.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 3
 
1.5%
3 18
9.0%
4 11
5.5%
5 17
8.5%
6 18
9.0%
7 10
5.0%
8 10
5.0%
9 6
 
3.0%
ValueCountFrequency (%)
172 1
0.5%
97 2
1.0%
91 1
0.5%
89 1
0.5%
87 1
0.5%
84 1
0.5%
83 1
0.5%
80 1
0.5%
79 1
0.5%
76 1
0.5%

10.4
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.61809
Minimum0
Maximum125
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:07.629013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q326
95-th percentile64.1
Maximum125
Range125
Interquartile range (IQR)20

Descriptive statistics

Standard deviation21.285336
Coefficient of variation (CV)1.0849851
Kurtosis4.5249841
Mean19.61809
Median Absolute Deviation (MAD)6
Skewness2.0173117
Sum3904
Variance453.06553
MonotonicityNot monotonic
2023-12-10T15:44:07.800481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 16
 
8.0%
7 15
 
7.5%
6 14
 
7.0%
3 12
 
6.0%
8 12
 
6.0%
5 11
 
5.5%
10 8
 
4.0%
9 8
 
4.0%
19 6
 
3.0%
13 5
 
2.5%
Other values (48) 92
46.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 4
 
2.0%
3 12
6.0%
4 16
8.0%
5 11
5.5%
6 14
7.0%
7 15
7.5%
8 12
6.0%
9 8
4.0%
ValueCountFrequency (%)
125 1
0.5%
99 1
0.5%
91 1
0.5%
90 1
0.5%
87 1
0.5%
77 1
0.5%
73 1
0.5%
69 1
0.5%
65 2
1.0%
64 1
0.5%

17.5
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.015075
Minimum0
Maximum300
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:07.955194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median12
Q329
95-th percentile69.3
Maximum300
Range300
Interquartile range (IQR)23

Descriptive statistics

Standard deviation30.586106
Coefficient of variation (CV)1.3289596
Kurtosis34.449505
Mean23.015075
Median Absolute Deviation (MAD)7
Skewness4.6114317
Sum4580
Variance935.50987
MonotonicityNot monotonic
2023-12-10T15:44:08.707547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 18
 
9.0%
4 13
 
6.5%
5 12
 
6.0%
8 12
 
6.0%
9 11
 
5.5%
7 10
 
5.0%
17 9
 
4.5%
3 8
 
4.0%
16 6
 
3.0%
12 6
 
3.0%
Other values (52) 94
47.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
 
1.5%
3 8
4.0%
4 13
6.5%
5 12
6.0%
6 18
9.0%
7 10
5.0%
8 12
6.0%
9 11
5.5%
ValueCountFrequency (%)
300 1
0.5%
138 1
0.5%
111 1
0.5%
102 1
0.5%
101 1
0.5%
91 2
1.0%
79 1
0.5%
74 1
0.5%
72 1
0.5%
69 1
0.5%

11.2
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.351759
Minimum0
Maximum384
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:08.898611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q317.5
95-th percentile42.2
Maximum384
Range384
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation30.225364
Coefficient of variation (CV)1.8484473
Kurtosis112.0083
Mean16.351759
Median Absolute Deviation (MAD)4
Skewness9.5432627
Sum3254
Variance913.57261
MonotonicityNot monotonic
2023-12-10T15:44:09.107793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
7 26
 
13.1%
6 17
 
8.5%
4 17
 
8.5%
8 12
 
6.0%
11 12
 
6.0%
5 11
 
5.5%
9 9
 
4.5%
13 7
 
3.5%
14 6
 
3.0%
10 6
 
3.0%
Other values (36) 76
38.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 4
 
2.0%
3 5
 
2.5%
4 17
8.5%
5 11
5.5%
6 17
8.5%
7 26
13.1%
8 12
6.0%
9 9
 
4.5%
ValueCountFrequency (%)
384 1
0.5%
123 1
0.5%
85 1
0.5%
70 1
0.5%
69 1
0.5%
51 1
0.5%
50 1
0.5%
46 2
1.0%
44 1
0.5%
42 1
0.5%

5.13
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.879397
Minimum0
Maximum51
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:09.322942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median9
Q313.5
95-th percentile25
Maximum51
Range51
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation7.0921444
Coefficient of variation (CV)0.65188764
Kurtosis5.9904095
Mean10.879397
Median Absolute Deviation (MAD)3
Skewness1.8992091
Sum2165
Variance50.298513
MonotonicityNot monotonic
2023-12-10T15:44:09.528138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
9 20
 
10.1%
7 17
 
8.5%
6 16
 
8.0%
11 13
 
6.5%
10 13
 
6.5%
8 12
 
6.0%
5 12
 
6.0%
12 11
 
5.5%
4 10
 
5.0%
3 9
 
4.5%
Other values (24) 66
33.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 4
 
2.0%
3 9
4.5%
4 10
5.0%
5 12
6.0%
6 16
8.0%
7 17
8.5%
8 12
6.0%
9 20
10.1%
ValueCountFrequency (%)
51 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
32 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
27 1
 
0.5%
26 1
 
0.5%
25 3
1.5%
24 2
1.0%

15.4
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.547739
Minimum0
Maximum477
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:09.736989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median11
Q337
95-th percentile123.4
Maximum477
Range477
Interquartile range (IQR)31

Descriptive statistics

Standard deviation51.437483
Coefficient of variation (CV)1.630465
Kurtosis29.252312
Mean31.547739
Median Absolute Deviation (MAD)7
Skewness4.3552189
Sum6278
Variance2645.8146
MonotonicityNot monotonic
2023-12-10T15:44:09.933531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 17
 
8.5%
6 16
 
8.0%
7 14
 
7.0%
4 13
 
6.5%
5 12
 
6.0%
8 8
 
4.0%
10 8
 
4.0%
20 6
 
3.0%
15 5
 
2.5%
9 4
 
2.0%
Other values (61) 96
48.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 4
 
2.0%
3 17
8.5%
4 13
6.5%
5 12
6.0%
6 16
8.0%
7 14
7.0%
8 8
4.0%
9 4
 
2.0%
ValueCountFrequency (%)
477 1
0.5%
213 1
0.5%
204 1
0.5%
174 1
0.5%
168 1
0.5%
158 1
0.5%
146 1
0.5%
145 1
0.5%
139 1
0.5%
127 1
0.5%

16.3
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.778894
Minimum0
Maximum190
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:10.128963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median10
Q328
95-th percentile80.1
Maximum190
Range190
Interquartile range (IQR)22

Descriptive statistics

Standard deviation27.897745
Coefficient of variation (CV)1.224719
Kurtosis8.5300111
Mean22.778894
Median Absolute Deviation (MAD)7
Skewness2.5322611
Sum4533
Variance778.2842
MonotonicityNot monotonic
2023-12-10T15:44:10.366520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
9.5%
7 17
 
8.5%
6 13
 
6.5%
3 12
 
6.0%
9 11
 
5.5%
8 9
 
4.5%
5 8
 
4.0%
10 7
 
3.5%
20 6
 
3.0%
2 5
 
2.5%
Other values (56) 92
46.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 5
 
2.5%
3 12
6.0%
4 19
9.5%
5 8
4.0%
6 13
6.5%
7 17
8.5%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
190 1
0.5%
146 1
0.5%
115 1
0.5%
112 1
0.5%
98 1
0.5%
94 1
0.5%
92 1
0.5%
88 1
0.5%
83 1
0.5%
81 1
0.5%

35.2
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.155779
Minimum0
Maximum686
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:10.649261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median12
Q330.5
95-th percentile79
Maximum686
Range686
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation57.891494
Coefficient of variation (CV)2.0561141
Kurtosis87.008168
Mean28.155779
Median Absolute Deviation (MAD)8
Skewness8.2558144
Sum5603
Variance3351.4251
MonotonicityNot monotonic
2023-12-10T15:44:10.872283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
4 15
 
7.5%
7 12
 
6.0%
5 11
 
5.5%
3 9
 
4.5%
8 9
 
4.5%
21 8
 
4.0%
9 8
 
4.0%
10 7
 
3.5%
11 7
 
3.5%
Other values (54) 97
48.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
 
1.5%
3 9
4.5%
4 15
7.5%
5 11
5.5%
6 16
8.0%
7 12
6.0%
8 9
4.5%
9 8
4.0%
ValueCountFrequency (%)
686 1
0.5%
308 1
0.5%
165 1
0.5%
137 1
0.5%
128 1
0.5%
125 1
0.5%
118 1
0.5%
112 1
0.5%
93 1
0.5%
88 1
0.5%

22.3
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.467337
Minimum0
Maximum439
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:11.111244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q17
median10
Q320
95-th percentile54
Maximum439
Range439
Interquartile range (IQR)13

Descriptive statistics

Standard deviation35.062537
Coefficient of variation (CV)1.8986245
Kurtosis105.99798
Mean18.467337
Median Absolute Deviation (MAD)4
Skewness9.224754
Sum3675
Variance1229.3815
MonotonicityNot monotonic
2023-12-10T15:44:11.343765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
7 25
 
12.6%
6 15
 
7.5%
9 14
 
7.0%
4 13
 
6.5%
14 11
 
5.5%
8 11
 
5.5%
5 9
 
4.5%
10 9
 
4.5%
11 8
 
4.0%
3 7
 
3.5%
Other values (39) 77
38.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
 
1.5%
3 7
 
3.5%
4 13
6.5%
5 9
 
4.5%
6 15
7.5%
7 25
12.6%
8 11
5.5%
9 14
7.0%
ValueCountFrequency (%)
439 1
0.5%
148 1
0.5%
101 1
0.5%
87 1
0.5%
71 2
1.0%
64 1
0.5%
58 1
0.5%
55 1
0.5%
54 2
1.0%
44 1
0.5%

11.3
Real number (ℝ)

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.080402
Minimum0
Maximum61
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:11.557499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median11
Q316
95-th percentile29.1
Maximum61
Range61
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.6201296
Coefficient of variation (CV)0.65901106
Kurtosis5.7201053
Mean13.080402
Median Absolute Deviation (MAD)4
Skewness1.886304
Sum2603
Variance74.306634
MonotonicityNot monotonic
2023-12-10T15:44:11.783004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
8 17
 
8.5%
11 16
 
8.0%
9 16
 
8.0%
14 12
 
6.0%
7 11
 
5.5%
12 11
 
5.5%
4 11
 
5.5%
10 11
 
5.5%
16 9
 
4.5%
5 9
 
4.5%
Other values (28) 76
38.2%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 3
 
1.5%
3 4
 
2.0%
4 11
5.5%
5 9
4.5%
6 7
3.5%
7 11
5.5%
8 17
8.5%
9 16
8.0%
ValueCountFrequency (%)
61 1
0.5%
46 1
0.5%
40 1
0.5%
38 1
0.5%
37 1
0.5%
36 2
1.0%
34 1
0.5%
31 1
0.5%
30 1
0.5%
29 1
0.5%

26.3
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.98995
Minimum2
Maximum79
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:11.978850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median9
Q314
95-th percentile27
Maximum79
Range77
Interquartile range (IQR)7

Descriptive statistics

Standard deviation9.3673568
Coefficient of variation (CV)0.78126739
Kurtosis17.964335
Mean11.98995
Median Absolute Deviation (MAD)3
Skewness3.4888507
Sum2386
Variance87.747373
MonotonicityNot monotonic
2023-12-10T15:44:12.183809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7 20
 
10.1%
5 18
 
9.0%
9 18
 
9.0%
8 17
 
8.5%
13 14
 
7.0%
6 14
 
7.0%
10 14
 
7.0%
11 13
 
6.5%
4 8
 
4.0%
18 8
 
4.0%
Other values (21) 55
27.6%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 8
 
4.0%
5 18
9.0%
6 14
7.0%
7 20
10.1%
8 17
8.5%
9 18
9.0%
10 14
7.0%
11 13
6.5%
ValueCountFrequency (%)
79 1
0.5%
60 1
0.5%
54 1
0.5%
47 1
0.5%
32 1
0.5%
30 2
1.0%
28 2
1.0%
27 2
1.0%
26 2
1.0%
25 1
0.5%

13.2
Real number (ℝ)

Distinct129
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.88945
Minimum1
Maximum608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:12.357960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.9
Q163.5
median97
Q3140
95-th percentile273
Maximum608
Range607
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation85.058731
Coefficient of variation (CV)0.72768529
Kurtosis8.3045454
Mean116.88945
Median Absolute Deviation (MAD)39
Skewness2.3152662
Sum23261
Variance7234.9877
MonotonicityNot monotonic
2023-12-10T15:44:12.606639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 5
 
2.5%
78 5
 
2.5%
118 5
 
2.5%
87 4
 
2.0%
86 4
 
2.0%
103 4
 
2.0%
85 3
 
1.5%
140 3
 
1.5%
127 3
 
1.5%
71 3
 
1.5%
Other values (119) 160
80.4%
ValueCountFrequency (%)
1 1
0.5%
3 1
0.5%
12 1
0.5%
17 2
1.0%
21 1
0.5%
23 1
0.5%
24 1
0.5%
28 2
1.0%
29 2
1.0%
32 1
0.5%
ValueCountFrequency (%)
608 1
0.5%
543 1
0.5%
378 1
0.5%
361 1
0.5%
352 1
0.5%
316 1
0.5%
308 1
0.5%
289 1
0.5%
278 1
0.5%
273 2
1.0%

27.4
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.41709
Minimum1
Maximum995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:12.857127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36
Q172
median106
Q3156.5
95-th percentile396.9
Maximum995
Range994
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation124.81336
Coefficient of variation (CV)0.88259041
Kurtosis13.388582
Mean141.41709
Median Absolute Deviation (MAD)43
Skewness3.0183782
Sum28142
Variance15578.376
MonotonicityNot monotonic
2023-12-10T15:44:13.113272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 6
 
3.0%
55 5
 
2.5%
87 4
 
2.0%
109 3
 
1.5%
86 3
 
1.5%
111 3
 
1.5%
118 3
 
1.5%
104 3
 
1.5%
156 3
 
1.5%
89 3
 
1.5%
Other values (117) 163
81.9%
ValueCountFrequency (%)
1 1
0.5%
4 1
0.5%
12 1
0.5%
19 1
0.5%
20 1
0.5%
26 1
0.5%
27 1
0.5%
31 1
0.5%
35 1
0.5%
36 2
1.0%
ValueCountFrequency (%)
995 1
0.5%
656 1
0.5%
625 1
0.5%
603 1
0.5%
464 1
0.5%
441 1
0.5%
431 1
0.5%
426 1
0.5%
425 1
0.5%
414 1
0.5%

2.9
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.914573
Minimum0
Maximum141
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:13.323863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median17
Q330
95-th percentile65.2
Maximum141
Range141
Interquartile range (IQR)18

Descriptive statistics

Standard deviation21.181461
Coefficient of variation (CV)0.85016351
Kurtosis6.8018853
Mean24.914573
Median Absolute Deviation (MAD)8
Skewness2.268267
Sum4958
Variance448.65428
MonotonicityNot monotonic
2023-12-10T15:44:13.543642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 13
 
6.5%
13 10
 
5.0%
9 10
 
5.0%
12 9
 
4.5%
17 9
 
4.5%
16 9
 
4.5%
10 7
 
3.5%
19 7
 
3.5%
28 7
 
3.5%
21 6
 
3.0%
Other values (55) 112
56.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
3 3
 
1.5%
4 1
 
0.5%
5 2
 
1.0%
6 4
 
2.0%
7 5
2.5%
8 5
2.5%
9 10
5.0%
ValueCountFrequency (%)
141 1
0.5%
112 1
0.5%
111 1
0.5%
88 1
0.5%
85 2
1.0%
79 1
0.5%
71 2
1.0%
67 1
0.5%
65 1
0.5%
64 2
1.0%

3.16
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.969849
Minimum0
Maximum100
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:13.818199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median19
Q328
95-th percentile60.9
Maximum100
Range100
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.027171
Coefficient of variation (CV)0.75207693
Kurtosis3.9234547
Mean23.969849
Median Absolute Deviation (MAD)7
Skewness1.8863101
Sum4770
Variance324.97888
MonotonicityNot monotonic
2023-12-10T15:44:14.055464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 12
 
6.0%
19 10
 
5.0%
16 9
 
4.5%
20 8
 
4.0%
14 8
 
4.0%
10 8
 
4.0%
9 8
 
4.0%
21 8
 
4.0%
23 7
 
3.5%
24 7
 
3.5%
Other values (46) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 3
 
1.5%
4 2
 
1.0%
5 1
 
0.5%
6 3
 
1.5%
7 4
2.0%
8 5
2.5%
9 8
4.0%
10 8
4.0%
ValueCountFrequency (%)
100 1
0.5%
96 1
0.5%
91 1
0.5%
80 1
0.5%
79 1
0.5%
77 1
0.5%
71 1
0.5%
70 2
1.0%
69 1
0.5%
60 1
0.5%

4.10
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.437186
Minimum0
Maximum216
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:14.296510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9
Q113.5
median21
Q330.5
95-th percentile64
Maximum216
Range216
Interquartile range (IQR)17

Descriptive statistics

Standard deviation23.053404
Coefficient of variation (CV)0.87200671
Kurtosis24.270559
Mean26.437186
Median Absolute Deviation (MAD)8
Skewness3.8281554
Sum5261
Variance531.45942
MonotonicityNot monotonic
2023-12-10T15:44:14.505265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 14
 
7.0%
13 10
 
5.0%
11 9
 
4.5%
18 9
 
4.5%
17 8
 
4.0%
14 8
 
4.0%
10 7
 
3.5%
24 7
 
3.5%
15 7
 
3.5%
23 7
 
3.5%
Other values (51) 113
56.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%
5 3
1.5%
6 3
1.5%
7 3
1.5%
8 4
2.0%
9 5
2.5%
10 7
3.5%
ValueCountFrequency (%)
216 1
0.5%
118 1
0.5%
115 1
0.5%
81 1
0.5%
79 1
0.5%
78 1
0.5%
76 1
0.5%
73 1
0.5%
68 1
0.5%
64 2
1.0%

3.17
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.160804
Minimum0
Maximum296
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:14.718123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q111
median17
Q324.5
95-th percentile44.3
Maximum296
Range296
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation24.600326
Coefficient of variation (CV)1.1625421
Kurtosis79.757474
Mean21.160804
Median Absolute Deviation (MAD)6
Skewness7.6304917
Sum4211
Variance605.17603
MonotonicityNot monotonic
2023-12-10T15:44:14.980578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 13
 
6.5%
14 11
 
5.5%
11 10
 
5.0%
13 10
 
5.0%
16 9
 
4.5%
20 9
 
4.5%
19 8
 
4.0%
10 8
 
4.0%
12 8
 
4.0%
6 8
 
4.0%
Other values (42) 105
52.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 2
 
1.0%
5 3
 
1.5%
6 8
4.0%
7 7
3.5%
8 6
3.0%
9 7
3.5%
ValueCountFrequency (%)
296 1
0.5%
108 1
0.5%
101 1
0.5%
69 1
0.5%
68 1
0.5%
60 1
0.5%
59 1
0.5%
56 1
0.5%
55 1
0.5%
47 1
0.5%

1.5
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.824121
Minimum0
Maximum140
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:15.215982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median16
Q327
95-th percentile48.2
Maximum140
Range140
Interquartile range (IQR)20

Descriptive statistics

Standard deviation18.027314
Coefficient of variation (CV)0.90936262
Kurtosis11.927062
Mean19.824121
Median Absolute Deviation (MAD)9
Skewness2.6281984
Sum3945
Variance324.98406
MonotonicityNot monotonic
2023-12-10T15:44:15.897549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
7.0%
7 12
 
6.0%
16 10
 
5.0%
5 9
 
4.5%
8 9
 
4.5%
24 6
 
3.0%
25 6
 
3.0%
23 6
 
3.0%
17 6
 
3.0%
11 6
 
3.0%
Other values (43) 115
57.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 3
 
1.5%
2 6
3.0%
3 14
7.0%
4 4
 
2.0%
5 9
4.5%
6 5
 
2.5%
7 12
6.0%
8 9
4.5%
9 3
 
1.5%
ValueCountFrequency (%)
140 1
0.5%
102 1
0.5%
88 1
0.5%
74 1
0.5%
61 2
1.0%
57 1
0.5%
53 2
1.0%
50 1
0.5%
48 1
0.5%
47 2
1.0%

4.11
Real number (ℝ)

Distinct78
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.80402
Minimum0
Maximum380
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:16.140393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q114
median20
Q340
95-th percentile111.1
Maximum380
Range380
Interquartile range (IQR)26

Descriptive statistics

Standard deviation44.278809
Coefficient of variation (CV)1.2366994
Kurtosis21.571387
Mean35.80402
Median Absolute Deviation (MAD)10
Skewness3.9031397
Sum7125
Variance1960.6129
MonotonicityNot monotonic
2023-12-10T15:44:16.383591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 10
 
5.0%
17 10
 
5.0%
19 9
 
4.5%
16 9
 
4.5%
15 8
 
4.0%
12 8
 
4.0%
14 7
 
3.5%
21 7
 
3.5%
20 6
 
3.0%
10 6
 
3.0%
Other values (68) 119
59.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 4
 
2.0%
7 2
 
1.0%
8 5
2.5%
9 10
5.0%
ValueCountFrequency (%)
380 1
0.5%
245 1
0.5%
189 1
0.5%
175 1
0.5%
173 1
0.5%
171 1
0.5%
160 1
0.5%
129 1
0.5%
124 1
0.5%
121 1
0.5%

5.14
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.678392
Minimum0
Maximum145
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:16.616139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median19
Q330.5
95-th percentile75.3
Maximum145
Range145
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation24.178358
Coefficient of variation (CV)0.90628995
Kurtosis6.6107146
Mean26.678392
Median Absolute Deviation (MAD)8
Skewness2.385115
Sum5309
Variance584.59302
MonotonicityNot monotonic
2023-12-10T15:44:16.852865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 16
 
8.0%
12 10
 
5.0%
9 9
 
4.5%
11 8
 
4.0%
20 8
 
4.0%
16 8
 
4.0%
19 7
 
3.5%
24 7
 
3.5%
17 6
 
3.0%
10 6
 
3.0%
Other values (56) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 2
 
1.0%
4 1
 
0.5%
5 3
 
1.5%
6 4
2.0%
7 5
2.5%
8 5
2.5%
9 9
4.5%
10 6
3.0%
ValueCountFrequency (%)
145 1
0.5%
131 1
0.5%
122 1
0.5%
116 1
0.5%
111 1
0.5%
103 1
0.5%
96 1
0.5%
90 1
0.5%
81 1
0.5%
78 1
0.5%

9.4
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.517588
Minimum0
Maximum526
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:17.095022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113.5
median20
Q332
95-th percentile87.1
Maximum526
Range526
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation44.923599
Coefficient of variation (CV)1.4253502
Kurtosis76.28951
Mean31.517588
Median Absolute Deviation (MAD)8
Skewness7.5344945
Sum6272
Variance2018.1297
MonotonicityNot monotonic
2023-12-10T15:44:17.313169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 12
 
6.0%
13 9
 
4.5%
10 9
 
4.5%
16 9
 
4.5%
15 8
 
4.0%
17 7
 
3.5%
24 7
 
3.5%
27 6
 
3.0%
18 6
 
3.0%
22 6
 
3.0%
Other values (55) 120
60.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
3 2
 
1.0%
5 1
 
0.5%
6 3
 
1.5%
7 5
2.5%
8 6
3.0%
9 5
2.5%
10 9
4.5%
11 5
2.5%
ValueCountFrequency (%)
526 1
0.5%
241 1
0.5%
142 1
0.5%
116 1
0.5%
97 1
0.5%
93 1
0.5%
92 1
0.5%
90 1
0.5%
89 1
0.5%
88 1
0.5%

187
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.175879
Minimum1
Maximum417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:17.530677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median12
Q341
95-th percentile167.3
Maximum417
Range416
Interquartile range (IQR)35

Descriptive statistics

Standard deviation60.648717
Coefficient of variation (CV)1.6313997
Kurtosis12.436255
Mean37.175879
Median Absolute Deviation (MAD)8
Skewness3.1260912
Sum7398
Variance3678.2669
MonotonicityNot monotonic
2023-12-10T15:44:17.756575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
3 16
 
8.0%
5 14
 
7.0%
8 13
 
6.5%
4 12
 
6.0%
7 12
 
6.0%
14 5
 
2.5%
10 4
 
2.0%
2 4
 
2.0%
12 4
 
2.0%
Other values (58) 99
49.7%
ValueCountFrequency (%)
1 1
 
0.5%
2 4
 
2.0%
3 16
8.0%
4 12
6.0%
5 14
7.0%
6 16
8.0%
7 12
6.0%
8 13
6.5%
9 3
 
1.5%
10 4
 
2.0%
ValueCountFrequency (%)
417 1
0.5%
370 1
0.5%
230 1
0.5%
215 1
0.5%
201 1
0.5%
195 1
0.5%
184 1
0.5%
178 1
0.5%
176 1
0.5%
170 1
0.5%

6.4
Real number (ℝ)

Distinct58
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.864322
Minimum0
Maximum333
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:17.946602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median18
Q328.5
95-th percentile55.1
Maximum333
Range333
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation27.832411
Coefficient of variation (CV)1.1662771
Kurtosis77.956655
Mean23.864322
Median Absolute Deviation (MAD)8
Skewness7.5090658
Sum4749
Variance774.64311
MonotonicityNot monotonic
2023-12-10T15:44:18.159841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 13
 
6.5%
12 12
 
6.0%
9 11
 
5.5%
20 10
 
5.0%
11 8
 
4.0%
8 8
 
4.0%
19 8
 
4.0%
14 7
 
3.5%
17 7
 
3.5%
13 6
 
3.0%
Other values (48) 109
54.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 3
 
1.5%
5 5
2.5%
6 2
 
1.0%
7 3
 
1.5%
8 8
4.0%
9 11
5.5%
ValueCountFrequency (%)
333 1
0.5%
131 1
0.5%
103 1
0.5%
78 1
0.5%
72 1
0.5%
66 1
0.5%
63 2
1.0%
58 1
0.5%
56 1
0.5%
55 1
0.5%

3.18
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.150754
Minimum0
Maximum169
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:18.339090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median20
Q332.5
95-th percentile57
Maximum169
Range169
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation21.569418
Coefficient of variation (CV)0.89311572
Kurtosis12.149725
Mean24.150754
Median Absolute Deviation (MAD)12
Skewness2.6130124
Sum4806
Variance465.23978
MonotonicityNot monotonic
2023-12-10T15:44:18.515163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 10
 
5.0%
3 9
 
4.5%
9 8
 
4.0%
20 7
 
3.5%
8 7
 
3.5%
21 7
 
3.5%
29 7
 
3.5%
17 6
 
3.0%
6 6
 
3.0%
11 6
 
3.0%
Other values (49) 126
63.3%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 3
 
1.5%
3 9
4.5%
4 10
5.0%
5 6
3.0%
6 6
3.0%
7 4
 
2.0%
8 7
3.5%
9 8
4.0%
ValueCountFrequency (%)
169 1
0.5%
125 1
0.5%
102 1
0.5%
82 1
0.5%
74 2
1.0%
68 1
0.5%
65 2
1.0%
57 2
1.0%
56 1
0.5%
54 2
1.0%

32.1
Real number (ℝ)

Distinct115
Distinct (%)57.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.130653
Minimum1
Maximum641
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:18.710074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24
Q145
median64
Q3109.5
95-th percentile229.3
Maximum641
Range640
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation77.718171
Coefficient of variation (CV)0.88185176
Kurtosis16.19588
Mean88.130653
Median Absolute Deviation (MAD)28
Skewness3.2195082
Sum17538
Variance6040.1142
MonotonicityNot monotonic
2023-12-10T15:44:18.882151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64 6
 
3.0%
50 6
 
3.0%
34 5
 
2.5%
61 5
 
2.5%
58 5
 
2.5%
35 4
 
2.0%
48 4
 
2.0%
33 4
 
2.0%
51 4
 
2.0%
60 3
 
1.5%
Other values (105) 153
76.9%
ValueCountFrequency (%)
1 1
 
0.5%
4 3
1.5%
5 1
 
0.5%
6 1
 
0.5%
10 1
 
0.5%
14 1
 
0.5%
21 1
 
0.5%
24 3
1.5%
25 2
1.0%
26 1
 
0.5%
ValueCountFrequency (%)
641 1
0.5%
498 1
0.5%
319 1
0.5%
298 2
1.0%
267 1
0.5%
256 1
0.5%
250 1
0.5%
234 1
0.5%
232 1
0.5%
229 1
0.5%

53
Real number (ℝ)

Distinct113
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.8191
Minimum1
Maximum782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:19.072161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile23
Q148
median70
Q3118.5
95-th percentile296.4
Maximum782
Range781
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation103.04063
Coefficient of variation (CV)1.0119971
Kurtosis15.718749
Mean101.8191
Median Absolute Deviation (MAD)29
Skewness3.3650573
Sum20262
Variance10617.371
MonotonicityNot monotonic
2023-12-10T15:44:19.375593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 5
 
2.5%
44 5
 
2.5%
34 5
 
2.5%
55 5
 
2.5%
72 4
 
2.0%
67 4
 
2.0%
88 4
 
2.0%
50 4
 
2.0%
48 3
 
1.5%
91 3
 
1.5%
Other values (103) 157
78.9%
ValueCountFrequency (%)
1 1
 
0.5%
4 3
1.5%
5 1
 
0.5%
6 1
 
0.5%
11 1
 
0.5%
16 1
 
0.5%
22 1
 
0.5%
23 2
1.0%
25 2
1.0%
27 2
1.0%
ValueCountFrequency (%)
782 1
0.5%
707 1
0.5%
474 1
0.5%
429 1
0.5%
374 1
0.5%
366 1
0.5%
352 1
0.5%
304 1
0.5%
302 1
0.5%
300 1
0.5%

9.5
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.231156
Minimum0
Maximum169
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:19.619668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q323
95-th percentile66.1
Maximum169
Range169
Interquartile range (IQR)15

Descriptive statistics

Standard deviation21.727812
Coefficient of variation (CV)1.0739778
Kurtosis12.626027
Mean20.231156
Median Absolute Deviation (MAD)6
Skewness2.9452823
Sum4026
Variance472.09781
MonotonicityNot monotonic
2023-12-10T15:44:19.835672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 19
 
9.5%
5 14
 
7.0%
10 12
 
6.0%
7 10
 
5.0%
11 10
 
5.0%
6 10
 
5.0%
22 9
 
4.5%
12 8
 
4.0%
4 6
 
3.0%
16 6
 
3.0%
Other values (44) 95
47.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 2
 
1.0%
3 1
 
0.5%
4 6
 
3.0%
5 14
7.0%
6 10
5.0%
7 10
5.0%
8 5
 
2.5%
9 19
9.5%
ValueCountFrequency (%)
169 1
0.5%
94 1
0.5%
92 2
1.0%
90 1
0.5%
89 1
0.5%
84 1
0.5%
70 1
0.5%
68 1
0.5%
67 1
0.5%
66 1
0.5%

7.7
Real number (ℝ)

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.467337
Minimum0
Maximum184
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:20.051383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median13
Q323.5
95-th percentile49.2
Maximum184
Range184
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation18.297974
Coefficient of variation (CV)0.99082906
Kurtosis33.825187
Mean18.467337
Median Absolute Deviation (MAD)6
Skewness4.4432443
Sum3675
Variance334.81585
MonotonicityNot monotonic
2023-12-10T15:44:20.267414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
9 14
 
7.0%
7 14
 
7.0%
5 13
 
6.5%
13 12
 
6.0%
11 11
 
5.5%
12 10
 
5.0%
14 8
 
4.0%
6 8
 
4.0%
17 7
 
3.5%
8 7
 
3.5%
Other values (39) 95
47.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 2
 
1.0%
3 1
 
0.5%
4 2
 
1.0%
5 13
6.5%
6 8
4.0%
7 14
7.0%
8 7
3.5%
9 14
7.0%
ValueCountFrequency (%)
184 1
0.5%
81 1
0.5%
72 1
0.5%
59 1
0.5%
57 1
0.5%
56 1
0.5%
55 1
0.5%
54 1
0.5%
53 1
0.5%
51 1
0.5%

8.4
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.221106
Minimum0
Maximum166
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:20.565747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q19
median14
Q325
95-th percentile52
Maximum166
Range166
Interquartile range (IQR)16

Descriptive statistics

Standard deviation21.073737
Coefficient of variation (CV)1.0421654
Kurtosis20.548651
Mean20.221106
Median Absolute Deviation (MAD)6
Skewness3.7994741
Sum4024
Variance444.10238
MonotonicityNot monotonic
2023-12-10T15:44:20.783101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
7.5%
6 11
 
5.5%
9 11
 
5.5%
11 11
 
5.5%
8 10
 
5.0%
12 10
 
5.0%
7 9
 
4.5%
14 7
 
3.5%
13 7
 
3.5%
17 7
 
3.5%
Other values (41) 101
50.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 4
 
2.0%
2 2
 
1.0%
4 3
 
1.5%
5 5
 
2.5%
6 11
5.5%
7 9
4.5%
8 10
5.0%
9 11
5.5%
10 15
7.5%
ValueCountFrequency (%)
166 1
0.5%
157 1
0.5%
105 1
0.5%
76 1
0.5%
75 1
0.5%
67 1
0.5%
66 1
0.5%
56 1
0.5%
53 1
0.5%
52 2
1.0%

6.5
Real number (ℝ)

Distinct44
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.949749
Minimum0
Maximum247
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:21.008077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median11
Q317.5
95-th percentile39.1
Maximum247
Range247
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation21.541538
Coefficient of variation (CV)1.3505879
Kurtosis71.482673
Mean15.949749
Median Absolute Deviation (MAD)5
Skewness7.4275817
Sum3174
Variance464.03787
MonotonicityNot monotonic
2023-12-10T15:44:21.243829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
6 19
 
9.5%
11 19
 
9.5%
8 14
 
7.0%
10 12
 
6.0%
7 12
 
6.0%
12 10
 
5.0%
13 9
 
4.5%
17 8
 
4.0%
5 8
 
4.0%
9 7
 
3.5%
Other values (34) 81
40.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 1
 
0.5%
3 1
 
0.5%
4 6
 
3.0%
5 8
4.0%
6 19
9.5%
7 12
6.0%
8 14
7.0%
9 7
 
3.5%
ValueCountFrequency (%)
247 1
 
0.5%
134 1
 
0.5%
90 1
 
0.5%
59 1
 
0.5%
47 1
 
0.5%
45 1
 
0.5%
41 1
 
0.5%
40 3
1.5%
39 1
 
0.5%
38 1
 
0.5%

2.10
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.854271
Minimum0
Maximum82
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:21.481340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q317
95-th percentile30.1
Maximum82
Range82
Interquartile range (IQR)11

Descriptive statistics

Standard deviation10.541111
Coefficient of variation (CV)0.82004733
Kurtosis11.219696
Mean12.854271
Median Absolute Deviation (MAD)5
Skewness2.5205221
Sum2558
Variance111.11502
MonotonicityNot monotonic
2023-12-10T15:44:21.712473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
9 14
 
7.0%
2 13
 
6.5%
3 12
 
6.0%
14 11
 
5.5%
16 10
 
5.0%
12 10
 
5.0%
7 10
 
5.0%
10 9
 
4.5%
15 8
 
4.0%
11 8
 
4.0%
Other values (27) 94
47.2%
ValueCountFrequency (%)
0 4
 
2.0%
1 2
 
1.0%
2 13
6.5%
3 12
6.0%
4 8
4.0%
5 8
4.0%
6 8
4.0%
7 10
5.0%
8 8
4.0%
9 14
7.0%
ValueCountFrequency (%)
82 1
0.5%
60 1
0.5%
52 1
0.5%
44 1
0.5%
42 1
0.5%
36 2
1.0%
34 1
0.5%
31 2
1.0%
30 1
0.5%
28 2
1.0%

16.4
Real number (ℝ)

Distinct70
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.281407
Minimum0
Maximum265
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:21.922164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median13
Q335
95-th percentile104.2
Maximum265
Range265
Interquartile range (IQR)27

Descriptive statistics

Standard deviation37.336596
Coefficient of variation (CV)1.3201817
Kurtosis13.687813
Mean28.281407
Median Absolute Deviation (MAD)8
Skewness3.249708
Sum5628
Variance1394.0214
MonotonicityNot monotonic
2023-12-10T15:44:22.153434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
7.0%
7 12
 
6.0%
6 11
 
5.5%
5 11
 
5.5%
12 11
 
5.5%
11 9
 
4.5%
9 8
 
4.0%
21 7
 
3.5%
8 6
 
3.0%
13 5
 
2.5%
Other values (60) 105
52.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
2.5%
2 2
 
1.0%
3 1
 
0.5%
4 4
 
2.0%
5 11
5.5%
6 11
5.5%
7 12
6.0%
8 6
3.0%
9 8
4.0%
ValueCountFrequency (%)
265 1
0.5%
232 1
0.5%
186 1
0.5%
135 1
0.5%
133 1
0.5%
130 1
0.5%
126 1
0.5%
116 2
1.0%
115 1
0.5%
103 1
0.5%

136
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.447236
Minimum1
Maximum160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:22.358383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median11
Q329
95-th percentile95.1
Maximum160
Range159
Interquartile range (IQR)23

Descriptive statistics

Standard deviation31.070561
Coefficient of variation (CV)1.2709233
Kurtosis5.3413569
Mean24.447236
Median Absolute Deviation (MAD)7
Skewness2.3031449
Sum4865
Variance965.37978
MonotonicityNot monotonic
2023-12-10T15:44:23.106599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
9.5%
8 13
 
6.5%
7 13
 
6.5%
3 12
 
6.0%
6 11
 
5.5%
5 10
 
5.0%
9 9
 
4.5%
15 6
 
3.0%
18 6
 
3.0%
23 6
 
3.0%
Other values (52) 94
47.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 4
 
2.0%
3 12
6.0%
4 19
9.5%
5 10
5.0%
6 11
5.5%
7 13
6.5%
8 13
6.5%
9 9
4.5%
10 5
 
2.5%
ValueCountFrequency (%)
160 1
0.5%
150 1
0.5%
139 1
0.5%
134 1
0.5%
133 2
1.0%
125 1
0.5%
102 1
0.5%
98 1
0.5%
96 1
0.5%
95 1
0.5%

8.5
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.994975
Minimum0
Maximum176
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:23.334863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q17.5
median12
Q322.5
95-th percentile58
Maximum176
Range176
Interquartile range (IQR)15

Descriptive statistics

Standard deviation19.641354
Coefficient of variation (CV)1.034029
Kurtosis21.313291
Mean18.994975
Median Absolute Deviation (MAD)6
Skewness3.5760439
Sum3780
Variance385.7828
MonotonicityNot monotonic
2023-12-10T15:44:23.556623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 14
 
7.0%
10 12
 
6.0%
11 12
 
6.0%
14 11
 
5.5%
5 11
 
5.5%
12 11
 
5.5%
6 10
 
5.0%
15 8
 
4.0%
8 8
 
4.0%
9 7
 
3.5%
Other values (44) 95
47.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 6
3.0%
3 3
 
1.5%
4 5
 
2.5%
5 11
5.5%
6 10
5.0%
7 14
7.0%
8 8
4.0%
9 7
3.5%
10 12
6.0%
ValueCountFrequency (%)
176 1
0.5%
98 1
0.5%
77 1
0.5%
68 1
0.5%
67 1
0.5%
64 1
0.5%
61 1
0.5%
59 2
1.0%
58 2
1.0%
54 1
0.5%

14.3
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.79397
Minimum0
Maximum398
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:23.792013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19
median14
Q323.5
95-th percentile65.4
Maximum398
Range398
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation36.325448
Coefficient of variation (CV)1.5936429
Kurtosis63.578085
Mean22.79397
Median Absolute Deviation (MAD)6
Skewness7.0098144
Sum4536
Variance1319.5381
MonotonicityNot monotonic
2023-12-10T15:44:24.043022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 13
 
6.5%
9 12
 
6.0%
14 11
 
5.5%
10 11
 
5.5%
8 10
 
5.0%
16 9
 
4.5%
13 9
 
4.5%
12 9
 
4.5%
11 9
 
4.5%
7 7
 
3.5%
Other values (45) 99
49.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 1
 
0.5%
4 4
 
2.0%
5 7
3.5%
6 13
6.5%
7 7
3.5%
8 10
5.0%
9 12
6.0%
10 11
5.5%
ValueCountFrequency (%)
398 1
0.5%
239 1
0.5%
136 1
0.5%
108 1
0.5%
83 1
0.5%
77 1
0.5%
76 1
0.5%
70 2
1.0%
69 1
0.5%
65 1
0.5%

10.5
Real number (ℝ)

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.045226
Minimum0
Maximum273
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:24.273701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q318
95-th percentile44
Maximum273
Range273
Interquartile range (IQR)10

Descriptive statistics

Standard deviation24.361399
Coefficient of variation (CV)1.4292212
Kurtosis68.862517
Mean17.045226
Median Absolute Deviation (MAD)5
Skewness7.382999
Sum3392
Variance593.47774
MonotonicityNot monotonic
2023-12-10T15:44:24.454985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
11 18
 
9.0%
7 17
 
8.5%
12 14
 
7.0%
10 12
 
6.0%
9 11
 
5.5%
6 10
 
5.0%
8 9
 
4.5%
5 9
 
4.5%
14 9
 
4.5%
15 7
 
3.5%
Other values (33) 83
41.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 5
 
2.5%
2 1
 
0.5%
3 1
 
0.5%
4 5
 
2.5%
5 9
4.5%
6 10
5.0%
7 17
8.5%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
273 1
0.5%
169 1
0.5%
86 1
0.5%
69 1
0.5%
60 1
0.5%
48 1
0.5%
47 1
0.5%
46 1
0.5%
45 1
0.5%
44 2
1.0%

4.12
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum0
Maximum99
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:24.677643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median13
Q320.5
95-th percentile34.4
Maximum99
Range99
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation12.752896
Coefficient of variation (CV)0.85019309
Kurtosis11.069501
Mean15
Median Absolute Deviation (MAD)7
Skewness2.465328
Sum2985
Variance162.63636
MonotonicityNot monotonic
2023-12-10T15:44:24.901262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
4 12
 
6.0%
2 11
 
5.5%
8 11
 
5.5%
13 10
 
5.0%
3 10
 
5.0%
12 10
 
5.0%
17 10
 
5.0%
22 9
 
4.5%
10 9
 
4.5%
5 8
 
4.0%
Other values (32) 99
49.7%
ValueCountFrequency (%)
0 4
 
2.0%
1 2
 
1.0%
2 11
5.5%
3 10
5.0%
4 12
6.0%
5 8
4.0%
6 7
3.5%
7 6
3.0%
8 11
5.5%
9 4
 
2.0%
ValueCountFrequency (%)
99 1
0.5%
73 1
0.5%
60 1
0.5%
48 1
0.5%
45 1
0.5%
44 1
0.5%
43 1
0.5%
40 1
0.5%
38 2
1.0%
34 2
1.0%

17.6
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.648241
Minimum0
Maximum816
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:25.107880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q130.5
median52
Q376
95-th percentile121.2
Maximum816
Range816
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation68.388646
Coefficient of variation (CV)1.1276279
Kurtosis76.774711
Mean60.648241
Median Absolute Deviation (MAD)22
Skewness7.422923
Sum12069
Variance4677.007
MonotonicityNot monotonic
2023-12-10T15:44:25.328503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 8
 
4.0%
19 6
 
3.0%
26 5
 
2.5%
55 5
 
2.5%
81 4
 
2.0%
38 4
 
2.0%
62 4
 
2.0%
21 4
 
2.0%
45 4
 
2.0%
56 4
 
2.0%
Other values (90) 151
75.9%
ValueCountFrequency (%)
0 2
1.0%
1 2
1.0%
2 2
1.0%
3 2
1.0%
4 2
1.0%
5 2
1.0%
11 2
1.0%
12 2
1.0%
14 2
1.0%
15 1
0.5%
ValueCountFrequency (%)
816 1
0.5%
358 1
0.5%
249 1
0.5%
172 1
0.5%
164 1
0.5%
144 1
0.5%
139 1
0.5%
130 1
0.5%
129 1
0.5%
123 1
0.5%

17.7
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.658291
Minimum0
Maximum961
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:25.562474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q126
median47
Q373.5
95-th percentile136.5
Maximum961
Range961
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation79.252466
Coefficient of variation (CV)1.3065397
Kurtosis85.924788
Mean60.658291
Median Absolute Deviation (MAD)24
Skewness8.0051648
Sum12071
Variance6280.9534
MonotonicityNot monotonic
2023-12-10T15:44:25.821398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 6
 
3.0%
57 6
 
3.0%
120 5
 
2.5%
24 5
 
2.5%
61 5
 
2.5%
49 5
 
2.5%
37 5
 
2.5%
1 4
 
2.0%
32 4
 
2.0%
15 4
 
2.0%
Other values (90) 150
75.4%
ValueCountFrequency (%)
0 2
1.0%
1 4
2.0%
3 1
 
0.5%
4 4
2.0%
7 1
 
0.5%
8 1
 
0.5%
9 1
 
0.5%
10 3
1.5%
11 3
1.5%
12 2
1.0%
ValueCountFrequency (%)
961 1
0.5%
412 1
0.5%
219 1
0.5%
187 1
0.5%
170 1
0.5%
166 1
0.5%
163 1
0.5%
146 1
0.5%
143 1
0.5%
141 1
0.5%

4.13
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.753769
Minimum0
Maximum120
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:26.024863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median10
Q315
95-th percentile30
Maximum120
Range120
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.74496
Coefficient of variation (CV)1.0777175
Kurtosis33.672704
Mean12.753769
Median Absolute Deviation (MAD)4
Skewness4.9754675
Sum2538
Variance188.92391
MonotonicityNot monotonic
2023-12-10T15:44:26.243172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 20
 
10.1%
11 15
 
7.5%
9 15
 
7.5%
5 14
 
7.0%
7 11
 
5.5%
8 11
 
5.5%
10 11
 
5.5%
12 9
 
4.5%
14 8
 
4.0%
15 8
 
4.0%
Other values (26) 77
38.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 5
 
2.5%
2 4
 
2.0%
3 3
 
1.5%
4 6
 
3.0%
5 14
7.0%
6 20
10.1%
7 11
5.5%
8 11
5.5%
9 15
7.5%
ValueCountFrequency (%)
120 1
0.5%
115 1
0.5%
58 1
0.5%
53 1
0.5%
46 1
0.5%
40 1
0.5%
35 1
0.5%
34 1
0.5%
31 1
0.5%
30 2
1.0%

3.19
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.849246
Minimum0
Maximum124
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:26.448260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15.5
median9
Q313
95-th percentile23.1
Maximum124
Range124
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation11.217653
Coefficient of variation (CV)1.0339569
Kurtosis53.948355
Mean10.849246
Median Absolute Deviation (MAD)4
Skewness5.9673409
Sum2159
Variance125.83574
MonotonicityNot monotonic
2023-12-10T15:44:26.673691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
8 17
 
8.5%
7 17
 
8.5%
6 15
 
7.5%
5 13
 
6.5%
10 12
 
6.0%
13 12
 
6.0%
12 12
 
6.0%
9 11
 
5.5%
2 9
 
4.5%
4 9
 
4.5%
Other values (22) 72
36.2%
ValueCountFrequency (%)
0 6
 
3.0%
1 6
 
3.0%
2 9
4.5%
3 7
3.5%
4 9
4.5%
5 13
6.5%
6 15
7.5%
7 17
8.5%
8 17
8.5%
9 11
5.5%
ValueCountFrequency (%)
124 1
 
0.5%
60 1
 
0.5%
51 1
 
0.5%
30 1
 
0.5%
29 1
 
0.5%
28 3
1.5%
25 1
 
0.5%
24 1
 
0.5%
23 2
1.0%
22 1
 
0.5%

4.14
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.819095
Minimum0
Maximum183
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:26.865626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median10
Q316
95-th percentile29.1
Maximum183
Range183
Interquartile range (IQR)10

Descriptive statistics

Standard deviation15.161336
Coefficient of variation (CV)1.1827149
Kurtosis81.468519
Mean12.819095
Median Absolute Deviation (MAD)5
Skewness7.6884235
Sum2551
Variance229.8661
MonotonicityNot monotonic
2023-12-10T15:44:27.071806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
5 19
 
9.5%
8 15
 
7.5%
7 14
 
7.0%
10 11
 
5.5%
6 10
 
5.0%
11 10
 
5.0%
12 10
 
5.0%
9 9
 
4.5%
15 8
 
4.0%
13 8
 
4.0%
Other values (25) 85
42.7%
ValueCountFrequency (%)
0 5
 
2.5%
1 6
 
3.0%
2 4
 
2.0%
3 4
 
2.0%
4 7
 
3.5%
5 19
9.5%
6 10
5.0%
7 14
7.0%
8 15
7.5%
9 9
4.5%
ValueCountFrequency (%)
183 1
 
0.5%
76 1
 
0.5%
40 2
1.0%
37 2
1.0%
33 1
 
0.5%
31 2
1.0%
30 1
 
0.5%
29 1
 
0.5%
27 3
1.5%
25 1
 
0.5%

4.15
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.552764
Minimum0
Maximum153
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:27.269755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q313
95-th percentile24.1
Maximum153
Range153
Interquartile range (IQR)8

Descriptive statistics

Standard deviation14.105876
Coefficient of variation (CV)1.2209958
Kurtosis55.369711
Mean11.552764
Median Absolute Deviation (MAD)4
Skewness6.3222378
Sum2299
Variance198.97574
MonotonicityNot monotonic
2023-12-10T15:44:27.444353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 19
 
9.5%
9 15
 
7.5%
11 14
 
7.0%
4 14
 
7.0%
12 13
 
6.5%
10 10
 
5.0%
13 10
 
5.0%
3 9
 
4.5%
2 9
 
4.5%
5 9
 
4.5%
Other values (24) 77
38.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 8
4.0%
2 9
4.5%
3 9
4.5%
4 14
7.0%
5 9
4.5%
6 8
4.0%
7 19
9.5%
8 7
 
3.5%
9 15
7.5%
ValueCountFrequency (%)
153 1
0.5%
87 1
0.5%
66 1
0.5%
45 1
0.5%
37 1
0.5%
31 2
1.0%
30 1
0.5%
26 1
0.5%
25 1
0.5%
24 1
0.5%

208
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.673367
Minimum1
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:27.659562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median14
Q329.5
95-th percentile85.4
Maximum205
Range204
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation34.825958
Coefficient of variation (CV)1.3565014
Kurtosis10.181012
Mean25.673367
Median Absolute Deviation (MAD)9
Skewness2.9961987
Sum5109
Variance1212.8473
MonotonicityNot monotonic
2023-12-10T15:44:27.883111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 18
 
9.0%
4 16
 
8.0%
5 14
 
7.0%
8 10
 
5.0%
10 9
 
4.5%
3 9
 
4.5%
25 6
 
3.0%
16 6
 
3.0%
14 5
 
2.5%
18 5
 
2.5%
Other values (56) 101
50.8%
ValueCountFrequency (%)
1 2
 
1.0%
2 2
 
1.0%
3 9
4.5%
4 16
8.0%
5 14
7.0%
6 18
9.0%
7 5
 
2.5%
8 10
5.0%
9 4
 
2.0%
10 9
4.5%
ValueCountFrequency (%)
205 1
0.5%
203 1
0.5%
182 1
0.5%
159 1
0.5%
142 1
0.5%
137 1
0.5%
133 1
0.5%
131 1
0.5%
119 1
0.5%
116 1
0.5%

2.11
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.331658
Minimum0
Maximum230
Zeros9
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:28.081399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median9
Q317
95-th percentile30.1
Maximum230
Range230
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.741208
Coefficient of variation (CV)1.5197638
Kurtosis93.536285
Mean12.331658
Median Absolute Deviation (MAD)7
Skewness8.4260691
Sum2454
Variance351.23288
MonotonicityNot monotonic
2023-12-10T15:44:28.371612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2 19
 
9.5%
3 14
 
7.0%
1 14
 
7.0%
16 10
 
5.0%
13 9
 
4.5%
0 9
 
4.5%
10 8
 
4.0%
5 8
 
4.0%
4 8
 
4.0%
8 8
 
4.0%
Other values (28) 92
46.2%
ValueCountFrequency (%)
0 9
4.5%
1 14
7.0%
2 19
9.5%
3 14
7.0%
4 8
4.0%
5 8
4.0%
6 7
 
3.5%
7 8
4.0%
8 8
4.0%
9 5
 
2.5%
ValueCountFrequency (%)
230 1
0.5%
92 1
0.5%
40 1
0.5%
39 1
0.5%
36 1
0.5%
34 2
1.0%
33 2
1.0%
31 1
0.5%
30 1
0.5%
28 1
0.5%

3.20
Real number (ℝ)

ZEROS 

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.537688
Minimum0
Maximum137
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:28.603320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q16
median10
Q315
95-th percentile26.2
Maximum137
Range137
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.144394
Coefficient of variation (CV)1.0483905
Kurtosis43.440125
Mean12.537688
Median Absolute Deviation (MAD)4
Skewness5.4110866
Sum2495
Variance172.77509
MonotonicityNot monotonic
2023-12-10T15:44:28.833794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
6 19
 
9.5%
8 14
 
7.0%
7 13
 
6.5%
10 13
 
6.5%
9 13
 
6.5%
11 11
 
5.5%
12 11
 
5.5%
5 10
 
5.0%
13 9
 
4.5%
4 8
 
4.0%
Other values (26) 78
39.2%
ValueCountFrequency (%)
0 6
 
3.0%
1 4
 
2.0%
2 3
 
1.5%
3 6
 
3.0%
4 8
4.0%
5 10
5.0%
6 19
9.5%
7 13
6.5%
8 14
7.0%
9 13
6.5%
ValueCountFrequency (%)
137 1
 
0.5%
72 1
 
0.5%
69 1
 
0.5%
50 1
 
0.5%
36 2
1.0%
35 1
 
0.5%
34 1
 
0.5%
29 1
 
0.5%
28 1
 
0.5%
26 3
1.5%

2.12
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.341709
Minimum0
Maximum166
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:29.018305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q313
95-th percentile26.1
Maximum166
Range166
Interquartile range (IQR)9

Descriptive statistics

Standard deviation14.048754
Coefficient of variation (CV)1.3584558
Kurtosis78.174264
Mean10.341709
Median Absolute Deviation (MAD)4
Skewness7.5734849
Sum2058
Variance197.36749
MonotonicityNot monotonic
2023-12-10T15:44:29.231945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
7 19
 
9.5%
4 17
 
8.5%
6 16
 
8.0%
3 15
 
7.5%
2 13
 
6.5%
5 11
 
5.5%
9 11
 
5.5%
12 9
 
4.5%
11 9
 
4.5%
13 8
 
4.0%
Other values (23) 71
35.7%
ValueCountFrequency (%)
0 7
 
3.5%
1 7
 
3.5%
2 13
6.5%
3 15
7.5%
4 17
8.5%
5 11
5.5%
6 16
8.0%
7 19
9.5%
8 7
 
3.5%
9 11
5.5%
ValueCountFrequency (%)
166 1
 
0.5%
76 1
 
0.5%
37 1
 
0.5%
32 1
 
0.5%
31 2
1.0%
28 2
1.0%
27 2
1.0%
26 1
 
0.5%
25 2
1.0%
24 3
1.5%

6.6
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.969849
Minimum0
Maximum219
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:29.458390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median9
Q315
95-th percentile32.1
Maximum219
Range219
Interquartile range (IQR)10

Descriptive statistics

Standard deviation20.029501
Coefficient of variation (CV)1.5443125
Kurtosis60.847145
Mean12.969849
Median Absolute Deviation (MAD)5
Skewness6.8098739
Sum2581
Variance401.1809
MonotonicityNot monotonic
2023-12-10T15:44:29.668822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 20
 
10.1%
5 15
 
7.5%
7 12
 
6.0%
4 11
 
5.5%
9 11
 
5.5%
13 10
 
5.0%
3 9
 
4.5%
2 9
 
4.5%
10 9
 
4.5%
11 8
 
4.0%
Other values (28) 85
42.7%
ValueCountFrequency (%)
0 8
 
4.0%
1 7
 
3.5%
2 9
4.5%
3 9
4.5%
4 11
5.5%
5 15
7.5%
6 20
10.1%
7 12
6.0%
8 6
 
3.0%
9 11
5.5%
ValueCountFrequency (%)
219 1
0.5%
112 1
0.5%
93 1
0.5%
88 1
0.5%
48 1
0.5%
42 1
0.5%
37 1
0.5%
35 2
1.0%
33 1
0.5%
32 2
1.0%

4.16
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.251256
Minimum0
Maximum163
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:30.363624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median9
Q313.5
95-th percentile24.1
Maximum163
Range163
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation15.230127
Coefficient of variation (CV)1.3536379
Kurtosis54.813409
Mean11.251256
Median Absolute Deviation (MAD)5
Skewness6.3947484
Sum2239
Variance231.95675
MonotonicityNot monotonic
2023-12-10T15:44:30.545108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
2 14
 
7.0%
4 13
 
6.5%
12 12
 
6.0%
5 12
 
6.0%
13 12
 
6.0%
11 11
 
5.5%
1 11
 
5.5%
8 11
 
5.5%
7 10
 
5.0%
3 10
 
5.0%
Other values (23) 83
41.7%
ValueCountFrequency (%)
0 7
3.5%
1 11
5.5%
2 14
7.0%
3 10
5.0%
4 13
6.5%
5 12
6.0%
6 10
5.0%
7 10
5.0%
8 11
5.5%
9 8
4.0%
ValueCountFrequency (%)
163 1
0.5%
92 1
0.5%
72 1
0.5%
68 1
0.5%
34 1
0.5%
29 1
0.5%
28 1
0.5%
27 1
0.5%
25 2
1.0%
24 1
0.5%

2.13
Real number (ℝ)

ZEROS 

Distinct43
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.909548
Minimum0
Maximum282
Zeros11
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:30.717011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q319.5
95-th percentile35.2
Maximum282
Range282
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation23.107388
Coefficient of variation (CV)1.6612609
Kurtosis93.048165
Mean13.909548
Median Absolute Deviation (MAD)8
Skewness8.3887932
Sum2768
Variance533.95137
MonotonicityNot monotonic
2023-12-10T15:44:30.908445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
1 24
 
12.1%
2 23
 
11.6%
0 11
 
5.5%
3 10
 
5.0%
19 7
 
3.5%
4 7
 
3.5%
18 7
 
3.5%
13 6
 
3.0%
23 6
 
3.0%
17 6
 
3.0%
Other values (33) 92
46.2%
ValueCountFrequency (%)
0 11
5.5%
1 24
12.1%
2 23
11.6%
3 10
5.0%
4 7
 
3.5%
5 5
 
2.5%
6 4
 
2.0%
7 6
 
3.0%
8 4
 
2.0%
9 4
 
2.0%
ValueCountFrequency (%)
282 1
0.5%
111 1
0.5%
48 1
0.5%
44 1
0.5%
43 1
0.5%
42 2
1.0%
40 1
0.5%
39 1
0.5%
37 1
0.5%
35 1
0.5%

19.3
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.085427
Minimum0
Maximum373
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:31.088158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q117
median29
Q343.5
95-th percentile112.6
Maximum373
Range373
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation42.770798
Coefficient of variation (CV)1.0942901
Kurtosis27.309577
Mean39.085427
Median Absolute Deviation (MAD)12
Skewness4.462431
Sum7778
Variance1829.3412
MonotonicityNot monotonic
2023-12-10T15:44:31.286628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 11
 
5.5%
25 10
 
5.0%
30 7
 
3.5%
33 7
 
3.5%
16 7
 
3.5%
21 6
 
3.0%
13 6
 
3.0%
23 6
 
3.0%
27 5
 
2.5%
28 5
 
2.5%
Other values (65) 129
64.8%
ValueCountFrequency (%)
0 4
2.0%
1 4
2.0%
5 1
 
0.5%
8 2
 
1.0%
9 3
1.5%
10 2
 
1.0%
11 2
 
1.0%
12 3
1.5%
13 6
3.0%
14 2
 
1.0%
ValueCountFrequency (%)
373 1
0.5%
315 1
0.5%
177 1
0.5%
164 1
0.5%
155 1
0.5%
144 1
0.5%
138 1
0.5%
128 1
0.5%
125 1
0.5%
118 1
0.5%

31.1
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.060302
Minimum0
Maximum460
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:31.495761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q119
median29
Q347
95-th percentile122.3
Maximum460
Range460
Interquartile range (IQR)28

Descriptive statistics

Standard deviation54.647968
Coefficient of variation (CV)1.2691032
Kurtosis31.693023
Mean43.060302
Median Absolute Deviation (MAD)12
Skewness4.9908323
Sum8569
Variance2986.4004
MonotonicityNot monotonic
2023-12-10T15:44:31.736349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 11
 
5.5%
17 8
 
4.0%
39 7
 
3.5%
26 7
 
3.5%
29 6
 
3.0%
13 5
 
2.5%
18 5
 
2.5%
31 5
 
2.5%
44 5
 
2.5%
55 5
 
2.5%
Other values (70) 135
67.8%
ValueCountFrequency (%)
0 2
 
1.0%
1 4
2.0%
2 2
 
1.0%
6 1
 
0.5%
8 2
 
1.0%
9 2
 
1.0%
10 3
1.5%
11 1
 
0.5%
12 3
1.5%
13 5
2.5%
ValueCountFrequency (%)
460 1
0.5%
440 1
0.5%
267 1
0.5%
189 1
0.5%
188 1
0.5%
171 1
0.5%
169 1
0.5%
153 1
0.5%
151 1
0.5%
143 1
0.5%

3.21
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7889447
Minimum0
Maximum59
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:31.901061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q39
95-th percentile25.1
Maximum59
Range59
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.4174949
Coefficient of variation (CV)1.0806977
Kurtosis13.230346
Mean7.7889447
Median Absolute Deviation (MAD)2
Skewness3.1699405
Sum1550
Variance70.854221
MonotonicityNot monotonic
2023-12-10T15:44:32.058675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 29
14.6%
4 25
12.6%
5 23
11.6%
7 17
8.5%
2 16
 
8.0%
6 13
 
6.5%
8 11
 
5.5%
9 9
 
4.5%
0 8
 
4.0%
10 8
 
4.0%
Other values (18) 40
20.1%
ValueCountFrequency (%)
0 8
 
4.0%
1 5
 
2.5%
2 16
8.0%
3 29
14.6%
4 25
12.6%
5 23
11.6%
6 13
6.5%
7 17
8.5%
8 11
 
5.5%
9 9
 
4.5%
ValueCountFrequency (%)
59 1
0.5%
55 1
0.5%
45 1
0.5%
34 1
0.5%
31 2
1.0%
27 2
1.0%
26 2
1.0%
25 2
1.0%
21 1
0.5%
19 2
1.0%

4.17
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6834171
Minimum0
Maximum57
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:32.203845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q13
median6
Q39
95-th percentile24
Maximum57
Range57
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.315079
Coefficient of variation (CV)0.95206064
Kurtosis13.858472
Mean7.6834171
Median Absolute Deviation (MAD)3
Skewness3.1062988
Sum1529
Variance53.51038
MonotonicityNot monotonic
2023-12-10T15:44:32.381975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 27
13.6%
6 26
13.1%
4 23
11.6%
8 17
8.5%
5 15
 
7.5%
2 14
 
7.0%
7 14
 
7.0%
10 8
 
4.0%
0 8
 
4.0%
9 7
 
3.5%
Other values (18) 40
20.1%
ValueCountFrequency (%)
0 8
 
4.0%
1 2
 
1.0%
2 14
7.0%
3 27
13.6%
4 23
11.6%
5 15
7.5%
6 26
13.1%
7 14
7.0%
8 17
8.5%
9 7
 
3.5%
ValueCountFrequency (%)
57 1
0.5%
43 1
0.5%
36 1
0.5%
30 1
0.5%
29 1
0.5%
27 1
0.5%
26 2
1.0%
25 1
0.5%
24 2
1.0%
18 1
0.5%

108
Real number (ℝ)

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.030151
Minimum2
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:32.596469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q17
median10
Q320.5
95-th percentile72.1
Maximum180
Range178
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation23.128737
Coefficient of variation (CV)1.2827811
Kurtosis16.698931
Mean18.030151
Median Absolute Deviation (MAD)5
Skewness3.6411996
Sum3588
Variance534.93848
MonotonicityNot monotonic
2023-12-10T15:44:32.793703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 18
 
9.0%
7 18
 
9.0%
4 15
 
7.5%
10 13
 
6.5%
5 12
 
6.0%
6 11
 
5.5%
9 8
 
4.0%
14 8
 
4.0%
3 8
 
4.0%
11 6
 
3.0%
Other values (40) 82
41.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 8
4.0%
4 15
7.5%
5 12
6.0%
6 11
5.5%
7 18
9.0%
8 18
9.0%
9 8
4.0%
10 13
6.5%
11 6
 
3.0%
ValueCountFrequency (%)
180 1
0.5%
122 1
0.5%
109 1
0.5%
106 1
0.5%
105 1
0.5%
93 1
0.5%
82 1
0.5%
78 1
0.5%
74 1
0.5%
73 1
0.5%

6.7
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4874372
Minimum0
Maximum90
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:33.066509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q14
median6
Q310
95-th percentile29.2
Maximum90
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.993205
Coefficient of variation (CV)1.2641143
Kurtosis21.367321
Mean9.4874372
Median Absolute Deviation (MAD)3
Skewness4.1512923
Sum1888
Variance143.83696
MonotonicityNot monotonic
2023-12-10T15:44:33.252940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 23
11.6%
6 22
11.1%
5 22
11.1%
4 18
 
9.0%
7 17
 
8.5%
8 13
 
6.5%
9 10
 
5.0%
2 10
 
5.0%
0 8
 
4.0%
10 8
 
4.0%
Other values (27) 48
24.1%
ValueCountFrequency (%)
0 8
 
4.0%
1 2
 
1.0%
2 10
5.0%
3 23
11.6%
4 18
9.0%
5 22
11.1%
6 22
11.1%
7 17
8.5%
8 13
6.5%
9 10
5.0%
ValueCountFrequency (%)
90 1
0.5%
84 1
0.5%
73 1
0.5%
55 1
0.5%
39 1
0.5%
37 1
0.5%
36 2
1.0%
35 1
0.5%
31 1
0.5%
29 1
0.5%

4.18
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6884422
Minimum0
Maximum175
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:33.440015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile18
Maximum175
Range175
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.356691
Coefficient of variation (CV)1.8673081
Kurtosis96.763652
Mean7.6884422
Median Absolute Deviation (MAD)2
Skewness8.9535981
Sum1530
Variance206.11456
MonotonicityNot monotonic
2023-12-10T15:44:33.622587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
5 32
16.1%
3 30
15.1%
6 26
13.1%
4 19
9.5%
2 16
8.0%
7 11
 
5.5%
9 9
 
4.5%
10 9
 
4.5%
8 8
 
4.0%
0 8
 
4.0%
Other values (16) 31
15.6%
ValueCountFrequency (%)
0 8
 
4.0%
1 5
 
2.5%
2 16
8.0%
3 30
15.1%
4 19
9.5%
5 32
16.1%
6 26
13.1%
7 11
 
5.5%
8 8
 
4.0%
9 9
 
4.5%
ValueCountFrequency (%)
175 1
 
0.5%
70 2
1.0%
30 1
 
0.5%
28 1
 
0.5%
24 1
 
0.5%
23 1
 
0.5%
22 1
 
0.5%
19 1
 
0.5%
18 4
2.0%
16 1
 
0.5%

2.14
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.3266332
Minimum0
Maximum105
Zeros9
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:33.809332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median5
Q38
95-th percentile15
Maximum105
Range105
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.4965141
Coefficient of variation (CV)1.3429756
Kurtosis93.430041
Mean6.3266332
Median Absolute Deviation (MAD)3
Skewness8.4088324
Sum1259
Variance72.190752
MonotonicityNot monotonic
2023-12-10T15:44:33.984446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 21
10.6%
2 21
10.6%
3 20
10.1%
7 19
9.5%
6 18
9.0%
5 18
9.0%
4 16
8.0%
8 15
7.5%
10 12
 
6.0%
0 9
 
4.5%
Other values (10) 30
15.1%
ValueCountFrequency (%)
0 9
4.5%
1 21
10.6%
2 21
10.6%
3 20
10.1%
4 16
8.0%
5 18
9.0%
6 18
9.0%
7 19
9.5%
8 15
7.5%
9 8
 
4.0%
ValueCountFrequency (%)
105 1
 
0.5%
42 1
 
0.5%
18 3
 
1.5%
16 4
 
2.0%
15 2
 
1.0%
14 2
 
1.0%
13 2
 
1.0%
12 3
 
1.5%
11 4
 
2.0%
10 12
6.0%

5.15
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7135678
Minimum0
Maximum87
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:34.185135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q310.5
95-th percentile33
Maximum87
Range87
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation11.906766
Coefficient of variation (CV)1.2257871
Kurtosis13.625557
Mean9.7135678
Median Absolute Deviation (MAD)3
Skewness3.2686091
Sum1933
Variance141.77108
MonotonicityNot monotonic
2023-12-10T15:44:34.404325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
3 26
13.1%
4 23
11.6%
6 19
 
9.5%
5 18
 
9.0%
2 14
 
7.0%
8 14
 
7.0%
9 9
 
4.5%
11 9
 
4.5%
7 9
 
4.5%
0 8
 
4.0%
Other values (27) 50
25.1%
ValueCountFrequency (%)
0 8
 
4.0%
1 3
 
1.5%
2 14
7.0%
3 26
13.1%
4 23
11.6%
5 18
9.0%
6 19
9.5%
7 9
 
4.5%
8 14
7.0%
9 9
 
4.5%
ValueCountFrequency (%)
87 1
0.5%
65 1
0.5%
63 1
0.5%
58 1
0.5%
45 1
0.5%
40 1
0.5%
38 1
0.5%
35 2
1.0%
33 2
1.0%
32 1
0.5%

4.19
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8994975
Minimum0
Maximum76
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:34.585821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q39
95-th percentile25.1
Maximum76
Range76
Interquartile range (IQR)6

Descriptive statistics

Standard deviation8.8013974
Coefficient of variation (CV)1.1141718
Kurtosis20.782819
Mean7.8994975
Median Absolute Deviation (MAD)2
Skewness3.8101655
Sum1572
Variance77.464596
MonotonicityNot monotonic
2023-12-10T15:44:34.771688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3 29
14.6%
5 23
11.6%
7 21
10.6%
4 20
10.1%
2 19
9.5%
6 17
8.5%
11 9
 
4.5%
0 8
 
4.0%
8 8
 
4.0%
9 6
 
3.0%
Other values (18) 39
19.6%
ValueCountFrequency (%)
0 8
 
4.0%
1 1
 
0.5%
2 19
9.5%
3 29
14.6%
4 20
10.1%
5 23
11.6%
6 17
8.5%
7 21
10.6%
8 8
 
4.0%
9 6
 
3.0%
ValueCountFrequency (%)
76 1
0.5%
43 2
1.0%
37 1
0.5%
35 1
0.5%
33 2
1.0%
30 2
1.0%
26 1
0.5%
25 1
0.5%
22 2
1.0%
18 1
0.5%

10.6
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.577889
Minimum0
Maximum232
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:34.930538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q14
median6
Q39
95-th percentile29.2
Maximum232
Range232
Interquartile range (IQR)5

Descriptive statistics

Standard deviation21.706553
Coefficient of variation (CV)2.0520685
Kurtosis64.549959
Mean10.577889
Median Absolute Deviation (MAD)3
Skewness7.3442567
Sum2105
Variance471.17446
MonotonicityNot monotonic
2023-12-10T15:44:35.124080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
5 27
13.6%
3 23
11.6%
4 19
9.5%
6 17
 
8.5%
8 16
 
8.0%
2 15
 
7.5%
7 13
 
6.5%
9 11
 
5.5%
0 8
 
4.0%
11 6
 
3.0%
Other values (24) 44
22.1%
ValueCountFrequency (%)
0 8
 
4.0%
1 2
 
1.0%
2 15
7.5%
3 23
11.6%
4 19
9.5%
5 27
13.6%
6 17
8.5%
7 13
6.5%
8 16
8.0%
9 11
5.5%
ValueCountFrequency (%)
232 1
0.5%
152 1
0.5%
100 1
0.5%
60 1
0.5%
54 1
0.5%
49 1
0.5%
43 1
0.5%
42 1
0.5%
36 1
0.5%
31 1
0.5%

8.6
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6733668
Minimum0
Maximum160
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:35.329899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q38
95-th percentile19
Maximum160
Range160
Interquartile range (IQR)5

Descriptive statistics

Standard deviation14.115642
Coefficient of variation (CV)1.8395631
Kurtosis76.500214
Mean7.6733668
Median Absolute Deviation (MAD)2
Skewness8.0309947
Sum1527
Variance199.25136
MonotonicityNot monotonic
2023-12-10T15:44:35.513432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
5 29
14.6%
3 27
13.6%
4 24
12.1%
6 23
11.6%
2 19
9.5%
7 13
6.5%
8 11
 
5.5%
0 8
 
4.0%
9 8
 
4.0%
11 6
 
3.0%
Other values (17) 31
15.6%
ValueCountFrequency (%)
0 8
 
4.0%
1 4
 
2.0%
2 19
9.5%
3 27
13.6%
4 24
12.1%
5 29
14.6%
6 23
11.6%
7 13
6.5%
8 11
 
5.5%
9 8
 
4.0%
ValueCountFrequency (%)
160 1
0.5%
91 1
0.5%
74 1
0.5%
31 1
0.5%
24 1
0.5%
23 1
0.5%
22 2
1.0%
21 1
0.5%
19 2
1.0%
18 1
0.5%

4.20
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2864322
Minimum0
Maximum129
Zeros9
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:35.710522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median6
Q39
95-th percentile16.1
Maximum129
Range129
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.383717
Coefficient of variation (CV)1.4250757
Kurtosis96.996987
Mean7.2864322
Median Absolute Deviation (MAD)4
Skewness8.6263923
Sum1450
Variance107.82158
MonotonicityNot monotonic
2023-12-10T15:44:35.907503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 23
11.6%
1 21
10.6%
4 16
 
8.0%
9 15
 
7.5%
6 15
 
7.5%
8 14
 
7.0%
5 13
 
6.5%
7 13
 
6.5%
3 12
 
6.0%
10 12
 
6.0%
Other values (14) 45
22.6%
ValueCountFrequency (%)
0 9
 
4.5%
1 21
10.6%
2 23
11.6%
3 12
6.0%
4 16
8.0%
5 13
6.5%
6 15
7.5%
7 13
6.5%
8 14
7.0%
9 15
7.5%
ValueCountFrequency (%)
129 1
 
0.5%
51 1
 
0.5%
22 1
 
0.5%
20 2
1.0%
19 2
1.0%
18 2
1.0%
17 1
 
0.5%
16 4
2.0%
15 1
 
0.5%
14 3
1.5%

55
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.427136
Minimum0
Maximum565
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:36.120683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12.6
Q129
median45
Q376.5
95-th percentile233.8
Maximum565
Range565
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation83.377767
Coefficient of variation (CV)1.1355171
Kurtosis10.460681
Mean73.427136
Median Absolute Deviation (MAD)21
Skewness2.9102454
Sum14612
Variance6951.852
MonotonicityNot monotonic
2023-12-10T15:44:36.319448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 7
 
3.5%
20 7
 
3.5%
35 5
 
2.5%
33 5
 
2.5%
22 5
 
2.5%
29 4
 
2.0%
46 4
 
2.0%
40 4
 
2.0%
43 4
 
2.0%
65 4
 
2.0%
Other values (95) 150
75.4%
ValueCountFrequency (%)
0 3
1.5%
1 1
 
0.5%
2 2
1.0%
3 1
 
0.5%
4 1
 
0.5%
7 1
 
0.5%
9 1
 
0.5%
13 1
 
0.5%
14 2
1.0%
15 3
1.5%
ValueCountFrequency (%)
565 1
0.5%
461 1
0.5%
425 1
0.5%
389 1
0.5%
367 1
0.5%
299 1
0.5%
272 1
0.5%
267 1
0.5%
258 1
0.5%
250 1
0.5%

87
Real number (ℝ)

ZEROS 

Distinct105
Distinct (%)52.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.829146
Minimum0
Maximum964
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:36.554703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.7
Q131
median48
Q390.5
95-th percentile294.2
Maximum964
Range964
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation114.91033
Coefficient of variation (CV)1.3388265
Kurtosis20.68445
Mean85.829146
Median Absolute Deviation (MAD)24
Skewness3.8910452
Sum17080
Variance13204.385
MonotonicityNot monotonic
2023-12-10T15:44:36.794534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 6
 
3.0%
68 6
 
3.0%
40 5
 
2.5%
48 5
 
2.5%
33 5
 
2.5%
41 5
 
2.5%
36 4
 
2.0%
32 4
 
2.0%
81 4
 
2.0%
24 4
 
2.0%
Other values (95) 151
75.9%
ValueCountFrequency (%)
0 2
1.0%
1 2
1.0%
2 2
1.0%
3 1
0.5%
4 1
0.5%
7 1
0.5%
11 1
0.5%
14 2
1.0%
15 2
1.0%
16 2
1.0%
ValueCountFrequency (%)
964 1
0.5%
567 1
0.5%
553 1
0.5%
543 1
0.5%
478 1
0.5%
406 1
0.5%
322 1
0.5%
315 2
1.0%
314 1
0.5%
292 1
0.5%

54.1
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.261307
Minimum3
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:37.026634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q18
median11
Q317
95-th percentile35.1
Maximum73
Range70
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.129568
Coefficient of variation (CV)0.71028329
Kurtosis7.1557458
Mean14.261307
Median Absolute Deviation (MAD)4
Skewness2.2395922
Sum2838
Variance102.60814
MonotonicityNot monotonic
2023-12-10T15:44:37.297130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
9 16
 
8.0%
8 16
 
8.0%
11 15
 
7.5%
10 13
 
6.5%
13 12
 
6.0%
7 11
 
5.5%
12 10
 
5.0%
6 10
 
5.0%
14 9
 
4.5%
5 8
 
4.0%
Other values (29) 79
39.7%
ValueCountFrequency (%)
3 5
 
2.5%
4 8
4.0%
5 8
4.0%
6 10
5.0%
7 11
5.5%
8 16
8.0%
9 16
8.0%
10 13
6.5%
11 15
7.5%
12 10
5.0%
ValueCountFrequency (%)
73 1
0.5%
53 1
0.5%
50 1
0.5%
46 1
0.5%
43 1
0.5%
41 2
1.0%
39 1
0.5%
38 1
0.5%
36 1
0.5%
35 1
0.5%

10.7
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.447236
Minimum0
Maximum174
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:37.502655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median8
Q319
95-th percentile55.1
Maximum174
Range174
Interquartile range (IQR)14

Descriptive statistics

Standard deviation21.404851
Coefficient of variation (CV)1.3014254
Kurtosis16.827341
Mean16.447236
Median Absolute Deviation (MAD)4
Skewness3.3782509
Sum3273
Variance458.16766
MonotonicityNot monotonic
2023-12-10T15:44:37.737341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 19
 
9.5%
6 18
 
9.0%
3 18
 
9.0%
4 14
 
7.0%
8 11
 
5.5%
9 10
 
5.0%
12 9
 
4.5%
7 8
 
4.0%
10 8
 
4.0%
0 6
 
3.0%
Other values (41) 78
39.2%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 4
 
2.0%
3 18
9.0%
4 14
7.0%
5 19
9.5%
6 18
9.0%
7 8
4.0%
8 11
5.5%
9 10
5.0%
ValueCountFrequency (%)
174 1
0.5%
100 2
1.0%
89 1
0.5%
84 1
0.5%
73 1
0.5%
68 1
0.5%
57 1
0.5%
56 2
1.0%
55 1
0.5%
53 1
0.5%

12
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.311558
Minimum0
Maximum102
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:38.436590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q319.5
95-th percentile53.1
Maximum102
Range102
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation16.86169
Coefficient of variation (CV)1.1012393
Kurtosis7.0671345
Mean15.311558
Median Absolute Deviation (MAD)5
Skewness2.3956095
Sum3047
Variance284.31658
MonotonicityNot monotonic
2023-12-10T15:44:38.684463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 18
 
9.0%
7 18
 
9.0%
5 14
 
7.0%
10 13
 
6.5%
3 12
 
6.0%
6 12
 
6.0%
8 9
 
4.5%
9 7
 
3.5%
12 7
 
3.5%
0 6
 
3.0%
Other values (40) 83
41.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 4
 
2.0%
3 12
6.0%
4 18
9.0%
5 14
7.0%
6 12
6.0%
7 18
9.0%
8 9
4.5%
9 7
 
3.5%
ValueCountFrequency (%)
102 1
0.5%
100 1
0.5%
70 1
0.5%
67 2
1.0%
59 1
0.5%
58 1
0.5%
57 2
1.0%
54 1
0.5%
53 1
0.5%
49 1
0.5%

17.8
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.140704
Minimum0
Maximum182
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:38.882407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q15.5
median10
Q320
95-th percentile63.1
Maximum182
Range182
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation23.343944
Coefficient of variation (CV)1.2868268
Kurtosis14.685841
Mean18.140704
Median Absolute Deviation (MAD)6
Skewness3.2402086
Sum3610
Variance544.9397
MonotonicityNot monotonic
2023-12-10T15:44:39.140888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 15
 
7.5%
3 14
 
7.0%
4 14
 
7.0%
8 13
 
6.5%
5 12
 
6.0%
9 10
 
5.0%
7 10
 
5.0%
10 9
 
4.5%
11 8
 
4.0%
13 7
 
3.5%
Other values (46) 87
43.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 1
 
0.5%
3 14
7.0%
4 14
7.0%
5 12
6.0%
6 15
7.5%
7 10
5.0%
8 13
6.5%
9 10
5.0%
ValueCountFrequency (%)
182 1
0.5%
118 1
0.5%
103 1
0.5%
101 1
0.5%
84 1
0.5%
83 1
0.5%
77 1
0.5%
74 1
0.5%
65 1
0.5%
64 1
0.5%

11.4
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.663317
Minimum0
Maximum298
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:39.380446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q313
95-th percentile38
Maximum298
Range298
Interquartile range (IQR)8

Descriptive statistics

Standard deviation25.944428
Coefficient of variation (CV)1.8988382
Kurtosis79.428691
Mean13.663317
Median Absolute Deviation (MAD)3
Skewness8.0439817
Sum2719
Variance673.11334
MonotonicityNot monotonic
2023-12-10T15:44:39.588636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
7 24
 
12.1%
4 20
 
10.1%
6 20
 
10.1%
5 14
 
7.0%
8 12
 
6.0%
13 11
 
5.5%
9 10
 
5.0%
11 9
 
4.5%
3 9
 
4.5%
12 8
 
4.0%
Other values (32) 62
31.2%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 4
 
2.0%
3 9
 
4.5%
4 20
10.1%
5 14
7.0%
6 20
10.1%
7 24
12.1%
8 12
6.0%
9 10
5.0%
ValueCountFrequency (%)
298 1
0.5%
170 1
0.5%
87 1
0.5%
57 2
1.0%
52 1
0.5%
48 1
0.5%
47 1
0.5%
43 1
0.5%
38 2
1.0%
37 1
0.5%

6.8
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6683417
Minimum0
Maximum130
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:39.794873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median8
Q311
95-th percentile22
Maximum130
Range130
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.071419
Coefficient of variation (CV)1.1451208
Kurtosis71.795669
Mean9.6683417
Median Absolute Deviation (MAD)3
Skewness7.1502433
Sum1924
Variance122.57632
MonotonicityNot monotonic
2023-12-10T15:44:40.007964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9 21
 
10.6%
6 18
 
9.0%
5 17
 
8.5%
10 16
 
8.0%
7 15
 
7.5%
4 14
 
7.0%
11 12
 
6.0%
8 12
 
6.0%
3 11
 
5.5%
12 9
 
4.5%
Other values (19) 54
27.1%
ValueCountFrequency (%)
0 8
 
4.0%
1 4
 
2.0%
2 6
 
3.0%
3 11
5.5%
4 14
7.0%
5 17
8.5%
6 18
9.0%
7 15
7.5%
8 12
6.0%
9 21
10.6%
ValueCountFrequency (%)
130 1
 
0.5%
52 1
 
0.5%
48 1
 
0.5%
31 2
1.0%
29 1
 
0.5%
25 1
 
0.5%
24 1
 
0.5%
22 4
2.0%
20 1
 
0.5%
19 4
2.0%

16.5
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.316583
Minimum0
Maximum238
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:40.238032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q328
95-th percentile81
Maximum238
Range238
Interquartile range (IQR)23

Descriptive statistics

Standard deviation34.860259
Coefficient of variation (CV)1.4950844
Kurtosis14.374794
Mean23.316583
Median Absolute Deviation (MAD)6
Skewness3.3522603
Sum4640
Variance1215.2377
MonotonicityNot monotonic
2023-12-10T15:44:40.504432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 17
 
8.5%
3 17
 
8.5%
4 14
 
7.0%
5 12
 
6.0%
7 12
 
6.0%
10 9
 
4.5%
8 9
 
4.5%
13 7
 
3.5%
0 6
 
3.0%
14 6
 
3.0%
Other values (54) 90
45.2%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 4
 
2.0%
3 17
8.5%
4 14
7.0%
5 12
6.0%
6 17
8.5%
7 12
6.0%
8 9
4.5%
9 4
 
2.0%
ValueCountFrequency (%)
238 1
0.5%
216 1
0.5%
199 1
0.5%
119 1
0.5%
117 1
0.5%
115 1
0.5%
113 1
0.5%
107 1
0.5%
103 1
0.5%
90 1
0.5%

15.5
Real number (ℝ)

ZEROS 

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.919598
Minimum0
Maximum125
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:40.721308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median9
Q319
95-th percentile59.4
Maximum125
Range125
Interquartile range (IQR)14

Descriptive statistics

Standard deviation18.866452
Coefficient of variation (CV)1.1851085
Kurtosis8.1692944
Mean15.919598
Median Absolute Deviation (MAD)5
Skewness2.5843679
Sum3168
Variance355.943
MonotonicityNot monotonic
2023-12-10T15:44:40.951052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 19
 
9.5%
6 15
 
7.5%
7 15
 
7.5%
3 13
 
6.5%
9 11
 
5.5%
5 11
 
5.5%
10 8
 
4.0%
8 8
 
4.0%
0 6
 
3.0%
14 6
 
3.0%
Other values (43) 87
43.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 6
 
3.0%
3 13
6.5%
4 19
9.5%
5 11
5.5%
6 15
7.5%
7 15
7.5%
8 8
4.0%
9 11
5.5%
ValueCountFrequency (%)
125 1
0.5%
94 1
0.5%
83 1
0.5%
80 1
0.5%
73 1
0.5%
71 1
0.5%
65 1
0.5%
64 2
1.0%
63 1
0.5%
59 1
0.5%

28.5
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.130653
Minimum0
Maximum508
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:41.168680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median10
Q319
95-th percentile69
Maximum508
Range508
Interquartile range (IQR)14

Descriptive statistics

Standard deviation45.453973
Coefficient of variation (CV)2.1510917
Kurtosis74.038122
Mean21.130653
Median Absolute Deviation (MAD)6
Skewness7.7410469
Sum4205
Variance2066.0637
MonotonicityNot monotonic
2023-12-10T15:44:41.433074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 15
 
7.5%
5 14
 
7.0%
3 13
 
6.5%
4 13
 
6.5%
7 13
 
6.5%
10 10
 
5.0%
8 9
 
4.5%
11 7
 
3.5%
19 7
 
3.5%
12 7
 
3.5%
Other values (45) 91
45.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 3
 
1.5%
3 13
6.5%
4 13
6.5%
5 14
7.0%
6 15
7.5%
7 13
6.5%
8 9
4.5%
9 6
 
3.0%
ValueCountFrequency (%)
508 1
0.5%
307 1
0.5%
124 1
0.5%
122 1
0.5%
99 1
0.5%
87 1
0.5%
81 1
0.5%
74 1
0.5%
70 1
0.5%
69 2
1.0%

18.5
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.467337
Minimum0
Maximum333
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:41.610548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.9
Q15.5
median8
Q313
95-th percentile39.2
Maximum333
Range333
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation29.047118
Coefficient of variation (CV)2.0077723
Kurtosis80.444061
Mean14.467337
Median Absolute Deviation (MAD)4
Skewness8.1476439
Sum2879
Variance843.73504
MonotonicityNot monotonic
2023-12-10T15:44:41.801592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7 24
 
12.1%
6 21
 
10.6%
4 19
 
9.5%
10 14
 
7.0%
3 12
 
6.0%
8 12
 
6.0%
9 11
 
5.5%
12 9
 
4.5%
5 9
 
4.5%
13 7
 
3.5%
Other values (30) 61
30.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 3
 
1.5%
2 1
 
0.5%
3 12
6.0%
4 19
9.5%
5 9
 
4.5%
6 21
10.6%
7 24
12.1%
8 12
6.0%
9 11
5.5%
ValueCountFrequency (%)
333 1
0.5%
195 1
0.5%
92 1
0.5%
67 1
0.5%
61 1
0.5%
54 2
1.0%
50 1
0.5%
48 1
0.5%
41 1
0.5%
39 2
1.0%

9.6
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.150754
Minimum0
Maximum160
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:41.973452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q15
median9
Q313
95-th percentile25
Maximum160
Range160
Interquartile range (IQR)8

Descriptive statistics

Standard deviation13.402751
Coefficient of variation (CV)1.2019592
Kurtosis77.848589
Mean11.150754
Median Absolute Deviation (MAD)4
Skewness7.4718011
Sum2219
Variance179.63372
MonotonicityNot monotonic
2023-12-10T15:44:42.196208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
11 15
 
7.5%
10 14
 
7.0%
8 14
 
7.0%
4 14
 
7.0%
7 13
 
6.5%
5 13
 
6.5%
9 12
 
6.0%
6 11
 
5.5%
2 10
 
5.0%
12 10
 
5.0%
Other values (24) 73
36.7%
ValueCountFrequency (%)
0 7
3.5%
1 3
 
1.5%
2 10
5.0%
3 8
4.0%
4 14
7.0%
5 13
6.5%
6 11
5.5%
7 13
6.5%
8 14
7.0%
9 12
6.0%
ValueCountFrequency (%)
160 1
 
0.5%
63 1
 
0.5%
43 1
 
0.5%
41 1
 
0.5%
34 2
1.0%
32 1
 
0.5%
29 1
 
0.5%
27 1
 
0.5%
25 2
1.0%
24 3
1.5%

125
Real number (ℝ)

Distinct90
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.437186
Minimum14
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:42.409869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile22
Q137
median56
Q379
95-th percentile147.1
Maximum222
Range208
Interquartile range (IQR)42

Descriptive statistics

Standard deviation39.281229
Coefficient of variation (CV)0.60960498
Kurtosis2.372402
Mean64.437186
Median Absolute Deviation (MAD)20
Skewness1.5001661
Sum12823
Variance1543.015
MonotonicityNot monotonic
2023-12-10T15:44:42.582179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 6
 
3.0%
46 6
 
3.0%
66 5
 
2.5%
38 5
 
2.5%
65 5
 
2.5%
36 5
 
2.5%
51 5
 
2.5%
58 5
 
2.5%
41 4
 
2.0%
31 4
 
2.0%
Other values (80) 149
74.9%
ValueCountFrequency (%)
14 1
 
0.5%
15 3
1.5%
19 3
1.5%
21 2
1.0%
22 4
2.0%
23 3
1.5%
24 3
1.5%
25 2
1.0%
26 1
 
0.5%
27 2
1.0%
ValueCountFrequency (%)
222 1
0.5%
203 1
0.5%
199 1
0.5%
183 1
0.5%
177 1
0.5%
165 1
0.5%
155 1
0.5%
153 1
0.5%
149 1
0.5%
148 1
0.5%

11.5
Real number (ℝ)

Distinct126
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.14573
Minimum0
Maximum421
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:42.758001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile35.9
Q159
median96
Q3133
95-th percentile282.2
Maximum421
Range421
Interquartile range (IQR)74

Descriptive statistics

Standard deviation75.68618
Coefficient of variation (CV)0.67489133
Kurtosis3.7390794
Mean112.14573
Median Absolute Deviation (MAD)37
Skewness1.7624374
Sum22317
Variance5728.3978
MonotonicityNot monotonic
2023-12-10T15:44:42.943561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81 5
 
2.5%
89 4
 
2.0%
59 4
 
2.0%
111 4
 
2.0%
56 4
 
2.0%
131 3
 
1.5%
61 3
 
1.5%
83 3
 
1.5%
113 3
 
1.5%
102 3
 
1.5%
Other values (116) 163
81.9%
ValueCountFrequency (%)
0 1
0.5%
10 1
0.5%
12 1
0.5%
21 1
0.5%
23 2
1.0%
27 1
0.5%
28 1
0.5%
31 1
0.5%
35 1
0.5%
36 1
0.5%
ValueCountFrequency (%)
421 1
0.5%
405 1
0.5%
393 1
0.5%
392 1
0.5%
345 1
0.5%
315 1
0.5%
308 1
0.5%
294 1
0.5%
284 2
1.0%
282 1
0.5%

14.4
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.67337
Minimum0
Maximum1266
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:43.155411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16.9
Q154.5
median88
Q3127
95-th percentile215.8
Maximum1266
Range1266
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation112.21565
Coefficient of variation (CV)1.0421858
Kurtosis58.652729
Mean107.67337
Median Absolute Deviation (MAD)35
Skewness6.3065463
Sum21427
Variance12592.352
MonotonicityNot monotonic
2023-12-10T15:44:43.318914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86 4
 
2.0%
103 3
 
1.5%
87 3
 
1.5%
60 3
 
1.5%
92 3
 
1.5%
0 3
 
1.5%
113 3
 
1.5%
43 3
 
1.5%
71 3
 
1.5%
47 3
 
1.5%
Other values (116) 168
84.4%
ValueCountFrequency (%)
0 3
1.5%
1 1
 
0.5%
2 2
1.0%
5 2
1.0%
16 2
1.0%
17 1
 
0.5%
18 2
1.0%
26 2
1.0%
30 1
 
0.5%
31 1
 
0.5%
ValueCountFrequency (%)
1266 1
0.5%
556 1
0.5%
471 1
0.5%
423 1
0.5%
366 1
0.5%
318 1
0.5%
278 1
0.5%
255 1
0.5%
244 1
0.5%
223 1
0.5%

24.4
Real number (ℝ)

ZEROS 

Distinct132
Distinct (%)66.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.38693
Minimum0
Maximum1491
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:43.498179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.9
Q159
median93
Q3148
95-th percentile272.1
Maximum1491
Range1491
Interquartile range (IQR)89

Descriptive statistics

Standard deviation141.28092
Coefficient of variation (CV)1.135818
Kurtosis46.63333
Mean124.38693
Median Absolute Deviation (MAD)38
Skewness5.6828733
Sum24753
Variance19960.299
MonotonicityNot monotonic
2023-12-10T15:44:43.694973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
186 4
 
2.0%
60 4
 
2.0%
55 4
 
2.0%
95 4
 
2.0%
87 3
 
1.5%
49 3
 
1.5%
83 3
 
1.5%
104 3
 
1.5%
111 3
 
1.5%
61 3
 
1.5%
Other values (122) 165
82.9%
ValueCountFrequency (%)
0 2
1.0%
1 2
1.0%
2 2
1.0%
6 2
1.0%
19 1
0.5%
20 1
0.5%
21 1
0.5%
22 1
0.5%
25 1
0.5%
28 2
1.0%
ValueCountFrequency (%)
1491 1
0.5%
746 1
0.5%
639 1
0.5%
550 1
0.5%
540 1
0.5%
479 1
0.5%
378 1
0.5%
335 1
0.5%
332 1
0.5%
318 1
0.5%

3.22
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.085427
Minimum0
Maximum207
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:43.873816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median16
Q326.5
95-th percentile60
Maximum207
Range207
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation24.985405
Coefficient of variation (CV)1.082302
Kurtosis24.323915
Mean23.085427
Median Absolute Deviation (MAD)7
Skewness4.2105543
Sum4594
Variance624.27044
MonotonicityNot monotonic
2023-12-10T15:44:44.030045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 12
 
6.0%
15 11
 
5.5%
9 10
 
5.0%
10 9
 
4.5%
14 8
 
4.0%
21 8
 
4.0%
13 7
 
3.5%
8 7
 
3.5%
17 7
 
3.5%
0 6
 
3.0%
Other values (47) 114
57.3%
ValueCountFrequency (%)
0 6
3.0%
1 2
 
1.0%
2 1
 
0.5%
3 2
 
1.0%
4 1
 
0.5%
5 3
 
1.5%
6 5
2.5%
7 5
2.5%
8 7
3.5%
9 10
5.0%
ValueCountFrequency (%)
207 1
0.5%
187 1
0.5%
114 1
0.5%
100 1
0.5%
90 1
0.5%
89 2
1.0%
70 1
0.5%
64 1
0.5%
60 2
1.0%
57 1
0.5%

3.23
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.668342
Minimum0
Maximum193
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:44.212371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q111
median17
Q327
95-th percentile46
Maximum193
Range193
Interquartile range (IQR)16

Descriptive statistics

Standard deviation20.459385
Coefficient of variation (CV)0.94420629
Kurtosis27.385023
Mean21.668342
Median Absolute Deviation (MAD)7
Skewness4.220818
Sum4312
Variance418.58642
MonotonicityNot monotonic
2023-12-10T15:44:44.412534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 12
 
6.0%
9 11
 
5.5%
13 9
 
4.5%
16 8
 
4.0%
22 8
 
4.0%
19 8
 
4.0%
21 8
 
4.0%
10 7
 
3.5%
17 7
 
3.5%
18 6
 
3.0%
Other values (41) 115
57.8%
ValueCountFrequency (%)
0 6
3.0%
1 2
 
1.0%
3 2
 
1.0%
4 1
 
0.5%
5 1
 
0.5%
6 6
3.0%
7 6
3.0%
8 5
2.5%
9 11
5.5%
10 7
3.5%
ValueCountFrequency (%)
193 1
 
0.5%
107 1
 
0.5%
100 1
 
0.5%
93 1
 
0.5%
87 1
 
0.5%
83 1
 
0.5%
72 1
 
0.5%
47 1
 
0.5%
46 3
1.5%
45 1
 
0.5%

4.21
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.060302
Minimum0
Maximum283
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:45.125914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.8
Q111
median18
Q328.5
95-th percentile57.2
Maximum283
Range283
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation26.200979
Coefficient of variation (CV)1.0889713
Kurtosis49.830261
Mean24.060302
Median Absolute Deviation (MAD)8
Skewness5.7787262
Sum4788
Variance686.49129
MonotonicityNot monotonic
2023-12-10T15:44:45.279130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 10
 
5.0%
18 9
 
4.5%
11 8
 
4.0%
10 8
 
4.0%
13 8
 
4.0%
9 8
 
4.0%
12 7
 
3.5%
22 7
 
3.5%
15 6
 
3.0%
24 6
 
3.0%
Other values (46) 122
61.3%
ValueCountFrequency (%)
0 5
2.5%
1 3
 
1.5%
3 2
 
1.0%
5 4
2.0%
6 4
2.0%
7 4
2.0%
8 5
2.5%
9 8
4.0%
10 8
4.0%
11 8
4.0%
ValueCountFrequency (%)
283 1
0.5%
135 1
0.5%
118 1
0.5%
87 1
0.5%
84 1
0.5%
78 1
0.5%
73 1
0.5%
70 1
0.5%
61 1
0.5%
59 1
0.5%

3.24
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.336683
Minimum0
Maximum238
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:45.451447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q19
median15
Q321
95-th percentile38.2
Maximum238
Range238
Interquartile range (IQR)12

Descriptive statistics

Standard deviation24.925793
Coefficient of variation (CV)1.2890418
Kurtosis48.457223
Mean19.336683
Median Absolute Deviation (MAD)6
Skewness6.2795979
Sum3848
Variance621.29516
MonotonicityNot monotonic
2023-12-10T15:44:45.663181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
11 13
 
6.5%
14 13
 
6.5%
17 11
 
5.5%
20 10
 
5.0%
7 10
 
5.0%
19 9
 
4.5%
6 8
 
4.0%
13 7
 
3.5%
8 7
 
3.5%
18 7
 
3.5%
Other values (37) 104
52.3%
ValueCountFrequency (%)
0 6
3.0%
1 3
 
1.5%
3 3
 
1.5%
4 5
2.5%
5 6
3.0%
6 8
4.0%
7 10
5.0%
8 7
3.5%
9 5
2.5%
10 7
3.5%
ValueCountFrequency (%)
238 1
0.5%
213 1
0.5%
111 1
0.5%
103 1
0.5%
48 2
1.0%
47 1
0.5%
45 1
0.5%
41 1
0.5%
40 1
0.5%
38 1
0.5%

1.6
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.949749
Minimum0
Maximum357
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:45.857943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median15
Q325
95-th percentile47.1
Maximum357
Range357
Interquartile range (IQR)20

Descriptive statistics

Standard deviation29.056154
Coefficient of variation (CV)1.5333266
Kurtosis94.219944
Mean18.949749
Median Absolute Deviation (MAD)10
Skewness8.4758652
Sum3771
Variance844.26009
MonotonicityNot monotonic
2023-12-10T15:44:46.048538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 13
 
6.5%
6 13
 
6.5%
2 13
 
6.5%
5 9
 
4.5%
16 7
 
3.5%
24 7
 
3.5%
0 7
 
3.5%
13 7
 
3.5%
4 6
 
3.0%
8 6
 
3.0%
Other values (40) 111
55.8%
ValueCountFrequency (%)
0 7
3.5%
1 6
3.0%
2 13
6.5%
3 13
6.5%
4 6
3.0%
5 9
4.5%
6 13
6.5%
7 2
 
1.0%
8 6
3.0%
9 4
 
2.0%
ValueCountFrequency (%)
357 1
0.5%
143 1
0.5%
62 1
0.5%
61 1
0.5%
56 1
0.5%
53 2
1.0%
51 1
0.5%
50 1
0.5%
48 1
0.5%
47 1
0.5%

5.16
Real number (ℝ)

ZEROS 

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.487437
Minimum0
Maximum259
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:46.231528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q112
median19
Q333
95-th percentile92.6
Maximum259
Range259
Interquartile range (IQR)21

Descriptive statistics

Standard deviation37.647603
Coefficient of variation (CV)1.2348563
Kurtosis14.960101
Mean30.487437
Median Absolute Deviation (MAD)9
Skewness3.554483
Sum6067
Variance1417.342
MonotonicityNot monotonic
2023-12-10T15:44:46.447184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
14 10
 
5.0%
18 8
 
4.0%
12 8
 
4.0%
17 8
 
4.0%
11 7
 
3.5%
26 6
 
3.0%
15 6
 
3.0%
0 6
 
3.0%
10 6
 
3.0%
Other values (58) 123
61.8%
ValueCountFrequency (%)
0 6
3.0%
1 2
 
1.0%
3 1
 
0.5%
4 1
 
0.5%
5 1
 
0.5%
6 4
 
2.0%
7 5
2.5%
8 4
 
2.0%
9 11
5.5%
10 6
3.0%
ValueCountFrequency (%)
259 1
0.5%
216 1
0.5%
213 1
0.5%
207 1
0.5%
188 1
0.5%
123 1
0.5%
121 1
0.5%
114 1
0.5%
112 1
0.5%
107 1
0.5%

4.22
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.824121
Minimum0
Maximum257
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:46.663299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q110
median18
Q326
95-th percentile53.3
Maximum257
Range257
Interquartile range (IQR)16

Descriptive statistics

Standard deviation25.329829
Coefficient of variation (CV)1.1097833
Kurtosis38.825298
Mean22.824121
Median Absolute Deviation (MAD)8
Skewness5.0836613
Sum4542
Variance641.60022
MonotonicityNot monotonic
2023-12-10T15:44:46.891394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 16
 
8.0%
11 10
 
5.0%
21 9
 
4.5%
8 9
 
4.5%
10 9
 
4.5%
9 8
 
4.0%
7 8
 
4.0%
12 8
 
4.0%
14 7
 
3.5%
20 6
 
3.0%
Other values (47) 109
54.8%
ValueCountFrequency (%)
0 6
3.0%
1 2
 
1.0%
3 1
 
0.5%
4 2
 
1.0%
5 4
2.0%
6 4
2.0%
7 8
4.0%
8 9
4.5%
9 8
4.0%
10 9
4.5%
ValueCountFrequency (%)
257 1
0.5%
124 1
0.5%
118 1
0.5%
108 1
0.5%
90 1
0.5%
83 1
0.5%
82 1
0.5%
72 1
0.5%
58 1
0.5%
56 1
0.5%

8.7
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.386935
Minimum0
Maximum384
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:47.121637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q110.5
median18
Q328.5
95-th percentile66.1
Maximum384
Range384
Interquartile range (IQR)18

Descriptive statistics

Standard deviation41.338661
Coefficient of variation (CV)1.50943
Kurtosis44.840199
Mean27.386935
Median Absolute Deviation (MAD)9
Skewness6.063241
Sum5450
Variance1708.8849
MonotonicityNot monotonic
2023-12-10T15:44:47.328212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 11
 
5.5%
8 10
 
5.0%
10 9
 
4.5%
9 9
 
4.5%
20 9
 
4.5%
18 8
 
4.0%
13 8
 
4.0%
22 7
 
3.5%
15 7
 
3.5%
6 6
 
3.0%
Other values (54) 115
57.8%
ValueCountFrequency (%)
0 5
2.5%
1 3
 
1.5%
3 2
 
1.0%
4 1
 
0.5%
5 2
 
1.0%
6 6
3.0%
7 3
 
1.5%
8 10
5.0%
9 9
4.5%
10 9
4.5%
ValueCountFrequency (%)
384 1
0.5%
339 1
0.5%
202 1
0.5%
145 1
0.5%
112 1
0.5%
98 1
0.5%
92 1
0.5%
84 1
0.5%
83 1
0.5%
67 1
0.5%

22.4
Real number (ℝ)

Distinct136
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.22613
Minimum0
Maximum745
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:47.525566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40.9
Q168
median103
Q3165.5
95-th percentile315.2
Maximum745
Range745
Interquartile range (IQR)97.5

Descriptive statistics

Standard deviation102.5459
Coefficient of variation (CV)0.75832899
Kurtosis9.3777694
Mean135.22613
Median Absolute Deviation (MAD)44
Skewness2.4828855
Sum26910
Variance10515.661
MonotonicityNot monotonic
2023-12-10T15:44:47.736075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 6
 
3.0%
61 5
 
2.5%
68 4
 
2.0%
75 4
 
2.0%
86 3
 
1.5%
88 3
 
1.5%
136 3
 
1.5%
255 3
 
1.5%
56 3
 
1.5%
90 3
 
1.5%
Other values (126) 162
81.4%
ValueCountFrequency (%)
0 1
0.5%
17 1
0.5%
18 1
0.5%
22 1
0.5%
24 1
0.5%
29 1
0.5%
30 1
0.5%
36 1
0.5%
39 1
0.5%
40 1
0.5%
ValueCountFrequency (%)
745 1
0.5%
614 1
0.5%
581 1
0.5%
449 1
0.5%
395 1
0.5%
365 1
0.5%
363 1
0.5%
339 1
0.5%
318 1
0.5%
317 1
0.5%

5.17
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.150754
Minimum0
Maximum259
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:47.978205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110
median16
Q324.5
95-th percentile43.1
Maximum259
Range259
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation28.142089
Coefficient of variation (CV)1.3305478
Kurtosis48.520547
Mean21.150754
Median Absolute Deviation (MAD)7
Skewness6.2943905
Sum4209
Variance791.97716
MonotonicityNot monotonic
2023-12-10T15:44:48.156548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 11
 
5.5%
18 10
 
5.0%
10 9
 
4.5%
15 8
 
4.0%
7 8
 
4.0%
19 8
 
4.0%
20 8
 
4.0%
9 7
 
3.5%
14 7
 
3.5%
11 7
 
3.5%
Other values (41) 116
58.3%
ValueCountFrequency (%)
0 6
3.0%
1 3
 
1.5%
3 2
 
1.0%
4 6
3.0%
5 6
3.0%
6 5
2.5%
7 8
4.0%
8 6
3.0%
9 7
3.5%
10 9
4.5%
ValueCountFrequency (%)
259 1
0.5%
252 1
0.5%
123 1
0.5%
105 1
0.5%
65 1
0.5%
63 1
0.5%
57 1
0.5%
52 1
0.5%
47 1
0.5%
44 1
0.5%

3.25
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.035176
Minimum0
Maximum438
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:48.348935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median18
Q330.5
95-th percentile54.3
Maximum438
Range438
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation35.4514
Coefficient of variation (CV)1.5390115
Kurtosis96.48297
Mean23.035176
Median Absolute Deviation (MAD)12
Skewness8.6028246
Sum4584
Variance1256.8018
MonotonicityNot monotonic
2023-12-10T15:44:48.506992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 14
 
7.0%
2 12
 
6.0%
6 10
 
5.0%
5 8
 
4.0%
29 6
 
3.0%
27 6
 
3.0%
30 6
 
3.0%
0 6
 
3.0%
21 6
 
3.0%
7 5
 
2.5%
Other values (49) 120
60.3%
ValueCountFrequency (%)
0 6
3.0%
1 3
 
1.5%
2 12
6.0%
3 14
7.0%
4 4
 
2.0%
5 8
4.0%
6 10
5.0%
7 5
 
2.5%
8 4
 
2.0%
9 4
 
2.0%
ValueCountFrequency (%)
438 1
0.5%
173 1
0.5%
74 1
0.5%
68 1
0.5%
67 1
0.5%
65 2
1.0%
62 1
0.5%
60 1
0.5%
57 1
0.5%
54 1
0.5%

35.3
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.351759
Minimum0
Maximum743
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:48.671197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q137
median58
Q391.5
95-th percentile249.4
Maximum743
Range743
Interquartile range (IQR)54.5

Descriptive statistics

Standard deviation95.445669
Coefficient of variation (CV)1.1450948
Kurtosis19.436141
Mean83.351759
Median Absolute Deviation (MAD)25
Skewness3.8635864
Sum16587
Variance9109.8756
MonotonicityNot monotonic
2023-12-10T15:44:48.850061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 6
 
3.0%
50 6
 
3.0%
52 5
 
2.5%
92 4
 
2.0%
58 4
 
2.0%
32 4
 
2.0%
35 4
 
2.0%
47 3
 
1.5%
59 3
 
1.5%
74 3
 
1.5%
Other values (106) 157
78.9%
ValueCountFrequency (%)
0 3
1.5%
1 1
 
0.5%
2 1
 
0.5%
3 2
1.0%
5 1
 
0.5%
7 3
1.5%
8 1
 
0.5%
9 1
 
0.5%
11 2
1.0%
16 1
 
0.5%
ValueCountFrequency (%)
743 1
0.5%
661 1
0.5%
478 1
0.5%
408 1
0.5%
353 1
0.5%
342 1
0.5%
326 1
0.5%
295 1
0.5%
283 1
0.5%
271 1
0.5%

58.3
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.487437
Minimum0
Maximum875
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:49.028027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q137
median62
Q397
95-th percentile318
Maximum875
Range875
Interquartile range (IQR)60

Descriptive statistics

Standard deviation113.16908
Coefficient of variation (CV)1.2236157
Kurtosis17.138929
Mean92.487437
Median Absolute Deviation (MAD)27
Skewness3.6979761
Sum18405
Variance12807.241
MonotonicityNot monotonic
2023-12-10T15:44:49.235520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
109 6
 
3.0%
34 6
 
3.0%
33 5
 
2.5%
56 5
 
2.5%
52 4
 
2.0%
87 4
 
2.0%
53 3
 
1.5%
30 3
 
1.5%
65 3
 
1.5%
67 3
 
1.5%
Other values (102) 157
78.9%
ValueCountFrequency (%)
0 2
1.0%
1 2
1.0%
2 1
 
0.5%
3 2
1.0%
5 1
 
0.5%
6 1
 
0.5%
7 3
1.5%
11 2
1.0%
12 1
 
0.5%
20 1
 
0.5%
ValueCountFrequency (%)
875 1
0.5%
644 1
0.5%
627 1
0.5%
493 1
0.5%
450 1
0.5%
400 1
0.5%
390 1
0.5%
378 1
0.5%
375 1
0.5%
372 1
0.5%

9.7
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.050251
Minimum0
Maximum180
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:49.415312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q320.5
95-th percentile74.2
Maximum180
Range180
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation26.382338
Coefficient of variation (CV)1.3158108
Kurtosis12.650284
Mean20.050251
Median Absolute Deviation (MAD)6
Skewness3.2651305
Sum3990
Variance696.02777
MonotonicityNot monotonic
2023-12-10T15:44:49.602015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 18
 
9.0%
6 14
 
7.0%
5 14
 
7.0%
10 13
 
6.5%
7 9
 
4.5%
11 8
 
4.0%
15 8
 
4.0%
14 7
 
3.5%
0 7
 
3.5%
4 6
 
3.0%
Other values (47) 95
47.7%
ValueCountFrequency (%)
0 7
 
3.5%
1 1
 
0.5%
2 6
 
3.0%
3 3
 
1.5%
4 6
 
3.0%
5 14
7.0%
6 14
7.0%
7 9
4.5%
8 5
 
2.5%
9 18
9.0%
ValueCountFrequency (%)
180 1
0.5%
153 1
0.5%
131 1
0.5%
123 1
0.5%
110 1
0.5%
106 1
0.5%
94 1
0.5%
90 1
0.5%
85 1
0.5%
76 1
0.5%

7.8
Real number (ℝ)

ZEROS 

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.080402
Minimum0
Maximum177
Zeros6
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:49.792486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q17
median11
Q319
95-th percentile54.1
Maximum177
Range177
Interquartile range (IQR)12

Descriptive statistics

Standard deviation20.211097
Coefficient of variation (CV)1.1832917
Kurtosis23.654681
Mean17.080402
Median Absolute Deviation (MAD)5
Skewness4.1035145
Sum3399
Variance408.48845
MonotonicityNot monotonic
2023-12-10T15:44:49.992475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
7 19
 
9.5%
11 17
 
8.5%
9 14
 
7.0%
5 11
 
5.5%
19 9
 
4.5%
12 9
 
4.5%
8 8
 
4.0%
6 8
 
4.0%
16 8
 
4.0%
13 7
 
3.5%
Other values (38) 89
44.7%
ValueCountFrequency (%)
0 6
 
3.0%
1 4
 
2.0%
2 5
 
2.5%
3 1
 
0.5%
4 5
 
2.5%
5 11
5.5%
6 8
4.0%
7 19
9.5%
8 8
4.0%
9 14
7.0%
ValueCountFrequency (%)
177 1
0.5%
113 1
0.5%
103 1
0.5%
84 1
0.5%
77 1
0.5%
75 1
0.5%
58 2
1.0%
56 1
0.5%
55 1
0.5%
54 1
0.5%

10.8
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.849246
Minimum0
Maximum166
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:50.185382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17.5
median12
Q320
95-th percentile59.8
Maximum166
Range166
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation24.105563
Coefficient of variation (CV)1.2788608
Kurtosis17.398675
Mean18.849246
Median Absolute Deviation (MAD)6
Skewness3.8179414
Sum3751
Variance581.07817
MonotonicityNot monotonic
2023-12-10T15:44:50.370425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6 20
 
10.1%
10 13
 
6.5%
15 11
 
5.5%
9 11
 
5.5%
17 10
 
5.0%
8 10
 
5.0%
11 10
 
5.0%
12 9
 
4.5%
13 8
 
4.0%
18 7
 
3.5%
Other values (39) 90
45.2%
ValueCountFrequency (%)
0 5
 
2.5%
1 3
 
1.5%
2 6
 
3.0%
3 1
 
0.5%
4 4
 
2.0%
5 6
 
3.0%
6 20
10.1%
7 5
 
2.5%
8 10
5.0%
9 11
5.5%
ValueCountFrequency (%)
166 1
0.5%
162 1
0.5%
138 1
0.5%
123 1
0.5%
111 1
0.5%
72 1
0.5%
69 2
1.0%
68 1
0.5%
67 1
0.5%
59 1
0.5%

7.9
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.753769
Minimum0
Maximum204
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:50.592802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median10
Q315
95-th percentile36
Maximum204
Range204
Interquartile range (IQR)9

Descriptive statistics

Standard deviation22.136735
Coefficient of variation (CV)1.5004122
Kurtosis38.614036
Mean14.753769
Median Absolute Deviation (MAD)4
Skewness5.6720709
Sum2936
Variance490.03502
MonotonicityNot monotonic
2023-12-10T15:44:51.304660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6 21
 
10.6%
10 15
 
7.5%
11 14
 
7.0%
12 12
 
6.0%
8 11
 
5.5%
5 11
 
5.5%
9 11
 
5.5%
4 9
 
4.5%
7 8
 
4.0%
15 8
 
4.0%
Other values (28) 79
39.7%
ValueCountFrequency (%)
0 5
 
2.5%
1 7
 
3.5%
2 3
 
1.5%
3 4
 
2.0%
4 9
4.5%
5 11
5.5%
6 21
10.6%
7 8
 
4.0%
8 11
5.5%
9 11
5.5%
ValueCountFrequency (%)
204 1
0.5%
150 1
0.5%
139 1
0.5%
95 1
0.5%
79 1
0.5%
60 1
0.5%
41 1
0.5%
40 2
1.0%
36 2
1.0%
35 1
0.5%

2.15
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.226131
Minimum0
Maximum209
Zeros8
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:51.508191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median10
Q316
95-th percentile28.2
Maximum209
Range209
Interquartile range (IQR)12

Descriptive statistics

Standard deviation17.0834
Coefficient of variation (CV)1.3972859
Kurtosis90.441201
Mean12.226131
Median Absolute Deviation (MAD)6
Skewness8.2411196
Sum2433
Variance291.84255
MonotonicityNot monotonic
2023-12-10T15:44:51.715277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 15
 
7.5%
5 12
 
6.0%
1 11
 
5.5%
9 11
 
5.5%
2 11
 
5.5%
6 11
 
5.5%
14 11
 
5.5%
16 10
 
5.0%
15 9
 
4.5%
12 8
 
4.0%
Other values (24) 90
45.2%
ValueCountFrequency (%)
0 8
4.0%
1 11
5.5%
2 11
5.5%
3 15
7.5%
4 7
3.5%
5 12
6.0%
6 11
5.5%
7 5
 
2.5%
8 7
3.5%
9 11
5.5%
ValueCountFrequency (%)
209 1
0.5%
84 1
0.5%
47 1
0.5%
36 2
1.0%
33 1
0.5%
31 2
1.0%
30 2
1.0%
28 1
0.5%
27 2
1.0%
25 2
1.0%

13.3
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.939698
Minimum0
Maximum242
Zeros4
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:51.913160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median12
Q325.5
95-th percentile96.2
Maximum242
Range242
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation37.397218
Coefficient of variation (CV)1.4416982
Kurtosis10.701217
Mean25.939698
Median Absolute Deviation (MAD)7
Skewness3.1037126
Sum5162
Variance1398.5519
MonotonicityNot monotonic
2023-12-10T15:44:52.123554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 12
 
6.0%
9 12
 
6.0%
7 12
 
6.0%
10 11
 
5.5%
6 10
 
5.0%
12 10
 
5.0%
11 9
 
4.5%
8 7
 
3.5%
15 6
 
3.0%
4 5
 
2.5%
Other values (54) 105
52.8%
ValueCountFrequency (%)
0 4
 
2.0%
1 4
 
2.0%
2 5
2.5%
3 3
 
1.5%
4 5
2.5%
5 12
6.0%
6 10
5.0%
7 12
6.0%
8 7
3.5%
9 12
6.0%
ValueCountFrequency (%)
242 1
0.5%
189 1
0.5%
174 1
0.5%
167 1
0.5%
162 1
0.5%
157 1
0.5%
155 1
0.5%
139 1
0.5%
132 1
0.5%
125 1
0.5%

2.16
Real number (ℝ)

Distinct54
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.371859
Minimum0
Maximum156
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:52.326606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q110
median17
Q328
95-th percentile51.3
Maximum156
Range156
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.552375
Coefficient of variation (CV)0.87397184
Kurtosis17.216069
Mean22.371859
Median Absolute Deviation (MAD)8
Skewness3.3453867
Sum4452
Variance382.29537
MonotonicityNot monotonic
2023-12-10T15:44:52.544293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
6.0%
15 12
 
6.0%
9 12
 
6.0%
10 11
 
5.5%
17 10
 
5.0%
21 8
 
4.0%
18 8
 
4.0%
16 7
 
3.5%
8 7
 
3.5%
13 6
 
3.0%
Other values (44) 106
53.3%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
4 3
 
1.5%
5 1
 
0.5%
6 5
2.5%
7 12
6.0%
8 7
3.5%
9 12
6.0%
10 11
5.5%
11 6
3.0%
ValueCountFrequency (%)
156 1
0.5%
141 1
0.5%
89 1
0.5%
72 1
0.5%
71 1
0.5%
70 1
0.5%
63 1
0.5%
59 1
0.5%
56 1
0.5%
54 1
0.5%

8.8
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.743719
Minimum0
Maximum151
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:52.753370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.5
median11
Q320
95-th percentile49.1
Maximum151
Range151
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation20.609884
Coefficient of variation (CV)1.2309024
Kurtosis18.426539
Mean16.743719
Median Absolute Deviation (MAD)5
Skewness3.7941536
Sum3332
Variance424.76732
MonotonicityNot monotonic
2023-12-10T15:44:52.958127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5 14
 
7.0%
12 14
 
7.0%
7 14
 
7.0%
10 13
 
6.5%
11 12
 
6.0%
8 12
 
6.0%
6 12
 
6.0%
14 8
 
4.0%
4 7
 
3.5%
13 7
 
3.5%
Other values (39) 86
43.2%
ValueCountFrequency (%)
0 5
 
2.5%
1 6
3.0%
2 4
 
2.0%
3 2
 
1.0%
4 7
3.5%
5 14
7.0%
6 12
6.0%
7 14
7.0%
8 12
6.0%
9 4
 
2.0%
ValueCountFrequency (%)
151 1
0.5%
147 1
0.5%
97 1
0.5%
89 1
0.5%
85 1
0.5%
81 1
0.5%
70 1
0.5%
62 1
0.5%
61 1
0.5%
50 1
0.5%

19.4
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.492462
Minimum0
Maximum302
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:53.196895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q17
median12
Q318
95-th percentile71.8
Maximum302
Range302
Interquartile range (IQR)11

Descriptive statistics

Standard deviation34.334197
Coefficient of variation (CV)1.6754549
Kurtosis33.022621
Mean20.492462
Median Absolute Deviation (MAD)6
Skewness5.1992041
Sum4078
Variance1178.8371
MonotonicityNot monotonic
2023-12-10T15:44:53.385227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 15
 
7.5%
5 14
 
7.0%
13 13
 
6.5%
6 13
 
6.5%
9 13
 
6.5%
8 10
 
5.0%
12 10
 
5.0%
7 9
 
4.5%
16 9
 
4.5%
4 7
 
3.5%
Other values (42) 86
43.2%
ValueCountFrequency (%)
0 5
 
2.5%
1 5
 
2.5%
2 3
 
1.5%
4 7
3.5%
5 14
7.0%
6 13
6.5%
7 9
4.5%
8 10
5.0%
9 13
6.5%
10 15
7.5%
ValueCountFrequency (%)
302 1
0.5%
231 1
0.5%
199 1
0.5%
130 1
0.5%
117 1
0.5%
105 1
0.5%
89 1
0.5%
86 1
0.5%
85 1
0.5%
79 1
0.5%

12.1
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.452261
Minimum0
Maximum232
Zeros5
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:53.622503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q16
median11
Q315
95-th percentile43.2
Maximum232
Range232
Interquartile range (IQR)9

Descriptive statistics

Standard deviation23.864019
Coefficient of variation (CV)1.5443707
Kurtosis43.983028
Mean15.452261
Median Absolute Deviation (MAD)5
Skewness5.9694121
Sum3075
Variance569.4914
MonotonicityNot monotonic
2023-12-10T15:44:53.820516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5 16
 
8.0%
11 16
 
8.0%
7 15
 
7.5%
12 15
 
7.5%
10 12
 
6.0%
6 10
 
5.0%
9 10
 
5.0%
13 8
 
4.0%
8 8
 
4.0%
4 8
 
4.0%
Other values (36) 81
40.7%
ValueCountFrequency (%)
0 5
 
2.5%
1 5
 
2.5%
2 4
 
2.0%
3 5
 
2.5%
4 8
4.0%
5 16
8.0%
6 10
5.0%
7 15
7.5%
8 8
4.0%
9 10
5.0%
ValueCountFrequency (%)
232 1
0.5%
155 1
0.5%
148 1
0.5%
83 1
0.5%
70 1
0.5%
62 1
0.5%
56 1
0.5%
47 1
0.5%
46 1
0.5%
45 1
0.5%

6.9
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.190955
Minimum0
Maximum257
Zeros7
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:54.009335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median12
Q319
95-th percentile35
Maximum257
Range257
Interquartile range (IQR)15

Descriptive statistics

Standard deviation20.847055
Coefficient of variation (CV)1.4690382
Kurtosis94.468036
Mean14.190955
Median Absolute Deviation (MAD)8
Skewness8.463216
Sum2824
Variance434.59972
MonotonicityNot monotonic
2023-12-10T15:44:54.197091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2 16
 
8.0%
4 13
 
6.5%
3 11
 
5.5%
1 11
 
5.5%
17 10
 
5.0%
11 9
 
4.5%
12 9
 
4.5%
6 8
 
4.0%
16 8
 
4.0%
0 7
 
3.5%
Other values (30) 97
48.7%
ValueCountFrequency (%)
0 7
3.5%
1 11
5.5%
2 16
8.0%
3 11
5.5%
4 13
6.5%
5 7
3.5%
6 8
4.0%
7 5
 
2.5%
8 3
 
1.5%
9 5
 
2.5%
ValueCountFrequency (%)
257 1
0.5%
101 1
0.5%
44 1
0.5%
40 2
1.0%
39 1
0.5%
38 2
1.0%
36 1
0.5%
35 2
1.0%
34 1
0.5%
32 1
0.5%

3082
Real number (ℝ)

Distinct198
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7298.804
Minimum14
Maximum18385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:54.402223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile1407.2
Q14037
median7128
Q39911.5
95-th percentile13865.7
Maximum18385
Range18371
Interquartile range (IQR)5874.5

Descriptive statistics

Standard deviation3974.4882
Coefficient of variation (CV)0.54453965
Kurtosis-0.20054432
Mean7298.804
Median Absolute Deviation (MAD)2903
Skewness0.4861332
Sum1452462
Variance15796556
MonotonicityNot monotonic
2023-12-10T15:44:54.649678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7128 2
 
1.0%
4084 1
 
0.5%
4507 1
 
0.5%
8072 1
 
0.5%
6886 1
 
0.5%
14615 1
 
0.5%
8921 1
 
0.5%
4444 1
 
0.5%
7675 1
 
0.5%
1418 1
 
0.5%
Other values (188) 188
94.5%
ValueCountFrequency (%)
14 1
0.5%
252 1
0.5%
545 1
0.5%
752 1
0.5%
945 1
0.5%
953 1
0.5%
1035 1
0.5%
1056 1
0.5%
1061 1
0.5%
1310 1
0.5%
ValueCountFrequency (%)
18385 1
0.5%
18299 1
0.5%
17564 1
0.5%
17456 1
0.5%
16373 1
0.5%
16372 1
0.5%
16329 1
0.5%
14615 1
0.5%
14495 1
0.5%
14250 1
0.5%

9028
Real number (ℝ)

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16780.281
Minimum31
Maximum39440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:54.881261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile3525.3
Q19894
median15731
Q322712
95-th percentile33646.2
Maximum39440
Range39409
Interquartile range (IQR)12818

Descriptive statistics

Standard deviation8817.9055
Coefficient of variation (CV)0.52549211
Kurtosis-0.50529024
Mean16780.281
Median Absolute Deviation (MAD)6380
Skewness0.39216833
Sum3339276
Variance77755457
MonotonicityNot monotonic
2023-12-10T15:44:55.124146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10529 1
 
0.5%
13661 1
 
0.5%
17957 1
 
0.5%
18193 1
 
0.5%
33624 1
 
0.5%
19240 1
 
0.5%
15731 1
 
0.5%
10620 1
 
0.5%
15323 1
 
0.5%
3594 1
 
0.5%
Other values (189) 189
95.0%
ValueCountFrequency (%)
31 1
0.5%
719 1
0.5%
1290 1
0.5%
1380 1
0.5%
1906 1
0.5%
2135 1
0.5%
2178 1
0.5%
2275 1
0.5%
2512 1
0.5%
2907 1
0.5%
ValueCountFrequency (%)
39440 1
0.5%
38582 1
0.5%
36873 1
0.5%
35888 1
0.5%
35862 1
0.5%
34966 1
0.5%
34935 1
0.5%
34145 1
0.5%
33892 1
0.5%
33846 1
0.5%

150
Real number (ℝ)

Distinct178
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean518.14573
Minimum1
Maximum1374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:55.364269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.4
Q1301
median438
Q3629
95-th percentile1185.4
Maximum1374
Range1373
Interquartile range (IQR)328

Descriptive statistics

Standard deviation318.48759
Coefficient of variation (CV)0.61466799
Kurtosis0.3428063
Mean518.14573
Median Absolute Deviation (MAD)154
Skewness0.98742248
Sum103111
Variance101434.35
MonotonicityNot monotonic
2023-12-10T15:44:55.556635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
337 2
 
1.0%
276 2
 
1.0%
408 2
 
1.0%
553 2
 
1.0%
552 2
 
1.0%
519 2
 
1.0%
340 2
 
1.0%
384 2
 
1.0%
656 2
 
1.0%
381 2
 
1.0%
Other values (168) 179
89.9%
ValueCountFrequency (%)
1 1
0.5%
27 1
0.5%
31 1
0.5%
57 1
0.5%
59 1
0.5%
61 1
0.5%
77 1
0.5%
79 1
0.5%
84 1
0.5%
91 1
0.5%
ValueCountFrequency (%)
1374 2
1.0%
1365 1
0.5%
1331 1
0.5%
1309 1
0.5%
1284 1
0.5%
1280 1
0.5%
1267 1
0.5%
1217 1
0.5%
1207 1
0.5%
1183 1
0.5%

319
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean628.99497
Minimum1
Maximum1895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:55.776986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile139.9
Q1377.5
median558
Q3817.5
95-th percentile1358.5
Maximum1895
Range1894
Interquartile range (IQR)440

Descriptive statistics

Standard deviation367.93159
Coefficient of variation (CV)0.58495155
Kurtosis0.84327502
Mean628.99497
Median Absolute Deviation (MAD)217
Skewness0.92750162
Sum125170
Variance135373.65
MonotonicityNot monotonic
2023-12-10T15:44:56.006187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
615 3
 
1.5%
533 2
 
1.0%
554 2
 
1.0%
685 2
 
1.0%
695 2
 
1.0%
396 2
 
1.0%
511 2
 
1.0%
558 2
 
1.0%
494 2
 
1.0%
196 2
 
1.0%
Other values (174) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
46 2
1.0%
60 1
0.5%
62 1
0.5%
100 1
0.5%
114 1
0.5%
116 1
0.5%
120 1
0.5%
139 1
0.5%
140 1
0.5%
ValueCountFrequency (%)
1895 1
0.5%
1703 1
0.5%
1702 1
0.5%
1596 1
0.5%
1580 1
0.5%
1542 1
0.5%
1539 1
0.5%
1522 1
0.5%
1462 1
0.5%
1399 1
0.5%

649
Real number (ℝ)

Distinct178
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean661.92965
Minimum1
Maximum2281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:56.238092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile122.9
Q1378
median586
Q3840.5
95-th percentile1609.5
Maximum2281
Range2280
Interquartile range (IQR)462.5

Descriptive statistics

Standard deviation414.45243
Coefficient of variation (CV)0.62612761
Kurtosis1.9707473
Mean661.92965
Median Absolute Deviation (MAD)231
Skewness1.2214891
Sum131724
Variance171770.81
MonotonicityNot monotonic
2023-12-10T15:44:56.459478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
535 2
 
1.0%
375 2
 
1.0%
146 2
 
1.0%
336 2
 
1.0%
469 2
 
1.0%
125 2
 
1.0%
451 2
 
1.0%
561 2
 
1.0%
556 2
 
1.0%
569 2
 
1.0%
Other values (168) 179
89.9%
ValueCountFrequency (%)
1 1
0.5%
46 1
0.5%
53 1
0.5%
62 1
0.5%
64 1
0.5%
73 1
0.5%
88 1
0.5%
92 1
0.5%
101 1
0.5%
104 1
0.5%
ValueCountFrequency (%)
2281 1
0.5%
2054 1
0.5%
2019 1
0.5%
1848 1
0.5%
1811 1
0.5%
1712 1
0.5%
1690 1
0.5%
1683 1
0.5%
1676 1
0.5%
1641 1
0.5%

896
Real number (ℝ)

Distinct186
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean815.94472
Minimum1
Maximum2888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:56.669303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile165.5
Q1469.5
median743
Q31067
95-th percentile1767.7
Maximum2888
Range2887
Interquartile range (IQR)597.5

Descriptive statistics

Standard deviation496.51311
Coefficient of variation (CV)0.60851316
Kurtosis2.1285555
Mean815.94472
Median Absolute Deviation (MAD)295
Skewness1.1538713
Sum162373
Variance246525.26
MonotonicityNot monotonic
2023-12-10T15:44:56.860039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
589 2
 
1.0%
477 2
 
1.0%
471 2
 
1.0%
596 2
 
1.0%
735 2
 
1.0%
1463 2
 
1.0%
520 2
 
1.0%
1257 2
 
1.0%
355 2
 
1.0%
1014 2
 
1.0%
Other values (176) 179
89.9%
ValueCountFrequency (%)
1 1
0.5%
52 1
0.5%
65 1
0.5%
68 1
0.5%
79 1
0.5%
81 1
0.5%
90 1
0.5%
91 1
0.5%
97 1
0.5%
116 1
0.5%
ValueCountFrequency (%)
2888 1
0.5%
2540 1
0.5%
2504 1
0.5%
2242 1
0.5%
2145 1
0.5%
2106 1
0.5%
1941 1
0.5%
1906 1
0.5%
1870 1
0.5%
1783 1
0.5%

2.17
Real number (ℝ)

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.502513
Minimum0
Maximum111
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:57.098659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q111
median18
Q326
95-th percentile53.2
Maximum111
Range111
Interquartile range (IQR)15

Descriptive statistics

Standard deviation17.644318
Coefficient of variation (CV)0.78410436
Kurtosis6.654312
Mean22.502513
Median Absolute Deviation (MAD)7
Skewness2.3305113
Sum4478
Variance311.32196
MonotonicityNot monotonic
2023-12-10T15:44:57.330660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 13
 
6.5%
10 12
 
6.0%
12 10
 
5.0%
15 9
 
4.5%
20 8
 
4.0%
18 8
 
4.0%
8 8
 
4.0%
13 8
 
4.0%
11 7
 
3.5%
16 7
 
3.5%
Other values (45) 109
54.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 2
 
1.0%
6 1
 
0.5%
7 3
 
1.5%
8 8
4.0%
9 13
6.5%
10 12
6.0%
ValueCountFrequency (%)
111 1
0.5%
96 1
0.5%
92 1
0.5%
86 1
0.5%
85 1
0.5%
76 1
0.5%
75 1
0.5%
74 1
0.5%
65 1
0.5%
55 1
0.5%

708
Real number (ℝ)

Distinct190
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1057.593
Minimum2
Maximum2378
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:57.530071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile188.9
Q1609
median1014
Q31505
95-th percentile1989.7
Maximum2378
Range2376
Interquartile range (IQR)896

Descriptive statistics

Standard deviation557.96451
Coefficient of variation (CV)0.52757963
Kurtosis-0.77282674
Mean1057.593
Median Absolute Deviation (MAD)423
Skewness0.28820749
Sum210461
Variance311324.39
MonotonicityNot monotonic
2023-12-10T15:44:58.164901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
628 2
 
1.0%
609 2
 
1.0%
1648 2
 
1.0%
629 2
 
1.0%
1957 2
 
1.0%
1828 2
 
1.0%
849 2
 
1.0%
544 2
 
1.0%
1087 2
 
1.0%
1174 1
 
0.5%
Other values (180) 180
90.5%
ValueCountFrequency (%)
2 1
0.5%
48 1
0.5%
73 1
0.5%
85 1
0.5%
101 1
0.5%
118 1
0.5%
128 1
0.5%
129 1
0.5%
131 1
0.5%
170 1
0.5%
ValueCountFrequency (%)
2378 1
0.5%
2287 1
0.5%
2225 1
0.5%
2197 1
0.5%
2145 1
0.5%
2132 1
0.5%
2129 1
0.5%
2119 1
0.5%
2057 1
0.5%
2014 1
0.5%

568
Real number (ℝ)

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1347.4171
Minimum2
Maximum3916
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:58.390715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile243.3
Q1735.5
median1302
Q31747
95-th percentile2685.5
Maximum3916
Range3914
Interquartile range (IQR)1011.5

Descriptive statistics

Standard deviation781.51445
Coefficient of variation (CV)0.58000931
Kurtosis0.83918331
Mean1347.4171
Median Absolute Deviation (MAD)547
Skewness0.83494027
Sum268136
Variance610764.84
MonotonicityNot monotonic
2023-12-10T15:44:58.608275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1096 2
 
1.0%
1747 2
 
1.0%
1237 2
 
1.0%
942 2
 
1.0%
1414 2
 
1.0%
527 2
 
1.0%
1187 2
 
1.0%
635 1
 
0.5%
1983 1
 
0.5%
1390 1
 
0.5%
Other values (182) 182
91.5%
ValueCountFrequency (%)
2 1
0.5%
40 1
0.5%
88 1
0.5%
93 1
0.5%
129 1
0.5%
151 1
0.5%
166 1
0.5%
188 1
0.5%
191 1
0.5%
237 1
0.5%
ValueCountFrequency (%)
3916 1
0.5%
3794 1
0.5%
3738 1
0.5%
3735 1
0.5%
3459 1
0.5%
3339 1
0.5%
3215 1
0.5%
2944 1
0.5%
2843 1
0.5%
2762 1
0.5%

412
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1264.1106
Minimum2
Maximum3963
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:58.807290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile221.2
Q1665.5
median1206
Q31604.5
95-th percentile2722.2
Maximum3963
Range3961
Interquartile range (IQR)939

Descriptive statistics

Standard deviation759.71457
Coefficient of variation (CV)0.60098745
Kurtosis1.773176
Mean1264.1106
Median Absolute Deviation (MAD)448
Skewness1.1261286
Sum251558
Variance577166.23
MonotonicityNot monotonic
2023-12-10T15:44:59.017853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1291 3
 
1.5%
570 3
 
1.5%
620 3
 
1.5%
1361 2
 
1.0%
517 2
 
1.0%
725 2
 
1.0%
1025 2
 
1.0%
1507 2
 
1.0%
938 2
 
1.0%
1206 2
 
1.0%
Other values (174) 176
88.4%
ValueCountFrequency (%)
2 1
0.5%
33 1
0.5%
80 1
0.5%
94 1
0.5%
130 1
0.5%
163 1
0.5%
172 1
0.5%
176 1
0.5%
181 1
0.5%
205 1
0.5%
ValueCountFrequency (%)
3963 1
0.5%
3822 1
0.5%
3774 1
0.5%
3743 1
0.5%
3536 1
0.5%
3238 1
0.5%
3225 1
0.5%
2943 1
0.5%
2858 1
0.5%
2778 1
0.5%

428
Real number (ℝ)

Distinct194
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1418.8392
Minimum2
Maximum3923
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:59.229816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile232.9
Q1827.5
median1374
Q31772.5
95-th percentile2905.5
Maximum3923
Range3921
Interquartile range (IQR)945

Descriptive statistics

Standard deviation797.86103
Coefficient of variation (CV)0.56233365
Kurtosis0.65805542
Mean1418.8392
Median Absolute Deviation (MAD)484
Skewness0.83262825
Sum282349
Variance636582.22
MonotonicityNot monotonic
2023-12-10T15:44:59.426624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1496 2
 
1.0%
213 2
 
1.0%
1178 2
 
1.0%
1066 2
 
1.0%
666 2
 
1.0%
2488 1
 
0.5%
1227 1
 
0.5%
1479 1
 
0.5%
3201 1
 
0.5%
2071 1
 
0.5%
Other values (184) 184
92.5%
ValueCountFrequency (%)
2 1
0.5%
57 1
0.5%
89 1
0.5%
136 1
0.5%
162 1
0.5%
165 1
0.5%
189 1
0.5%
213 2
1.0%
232 1
0.5%
233 1
0.5%
ValueCountFrequency (%)
3923 1
0.5%
3874 1
0.5%
3712 1
0.5%
3612 1
0.5%
3585 1
0.5%
3380 1
0.5%
3205 1
0.5%
3201 1
0.5%
3188 1
0.5%
2919 1
0.5%

669
Real number (ℝ)

Distinct191
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1299.1457
Minimum2
Maximum3113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:44:59.638330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile305.6
Q1787
median1216
Q31695
95-th percentile2692.3
Maximum3113
Range3111
Interquartile range (IQR)908

Descriptive statistics

Standard deviation696.68073
Coefficient of variation (CV)0.53626064
Kurtosis-0.1496812
Mean1299.1457
Median Absolute Deviation (MAD)442
Skewness0.53098864
Sum258530
Variance485364.03
MonotonicityNot monotonic
2023-12-10T15:44:59.877192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1656 2
 
1.0%
2458 2
 
1.0%
747 2
 
1.0%
868 2
 
1.0%
1703 2
 
1.0%
1081 2
 
1.0%
1020 2
 
1.0%
1394 2
 
1.0%
1478 1
 
0.5%
1781 1
 
0.5%
Other values (181) 181
91.0%
ValueCountFrequency (%)
2 1
0.5%
66 1
0.5%
87 1
0.5%
121 1
0.5%
139 1
0.5%
141 1
0.5%
168 1
0.5%
173 1
0.5%
186 1
0.5%
212 1
0.5%
ValueCountFrequency (%)
3113 1
0.5%
3076 1
0.5%
3073 1
0.5%
2979 1
0.5%
2930 1
0.5%
2872 1
0.5%
2793 1
0.5%
2762 1
0.5%
2710 1
0.5%
2704 1
0.5%

1115
Real number (ℝ)

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1483.3266
Minimum3
Maximum3719
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:00.110402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile286.3
Q1854
median1357
Q32001
95-th percentile2863.1
Maximum3719
Range3716
Interquartile range (IQR)1147

Descriptive statistics

Standard deviation808.0713
Coefficient of variation (CV)0.54476963
Kurtosis-0.24553763
Mean1483.3266
Median Absolute Deviation (MAD)562
Skewness0.45553788
Sum295182
Variance652979.22
MonotonicityNot monotonic
2023-12-10T15:45:00.330446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1025 2
 
1.0%
1214 2
 
1.0%
388 2
 
1.0%
1229 2
 
1.0%
1352 2
 
1.0%
1354 2
 
1.0%
573 2
 
1.0%
1578 1
 
0.5%
1653 1
 
0.5%
2855 1
 
0.5%
Other values (182) 182
91.5%
ValueCountFrequency (%)
3 1
0.5%
75 1
0.5%
108 1
0.5%
112 1
0.5%
156 1
0.5%
160 1
0.5%
161 1
0.5%
163 1
0.5%
173 1
0.5%
226 1
0.5%
ValueCountFrequency (%)
3719 1
0.5%
3627 1
0.5%
3574 1
0.5%
3491 1
0.5%
3272 1
0.5%
3266 1
0.5%
3230 1
0.5%
3044 1
0.5%
2976 1
0.5%
2936 1
0.5%

903
Real number (ℝ)

Distinct188
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1317.1307
Minimum3
Maximum2813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:00.564582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile243.8
Q1744.5
median1244
Q31896
95-th percentile2522.2
Maximum2813
Range2810
Interquartile range (IQR)1151.5

Descriptive statistics

Standard deviation705.761
Coefficient of variation (CV)0.53583219
Kurtosis-0.9064825
Mean1317.1307
Median Absolute Deviation (MAD)559
Skewness0.26747706
Sum262109
Variance498098.59
MonotonicityNot monotonic
2023-12-10T15:45:00.777052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
685 2
 
1.0%
1296 2
 
1.0%
1244 2
 
1.0%
1302 2
 
1.0%
1454 2
 
1.0%
836 2
 
1.0%
1206 2
 
1.0%
1213 2
 
1.0%
1827 2
 
1.0%
1216 2
 
1.0%
Other values (178) 179
89.9%
ValueCountFrequency (%)
3 1
0.5%
57 1
0.5%
95 1
0.5%
112 1
0.5%
131 1
0.5%
153 1
0.5%
161 1
0.5%
165 1
0.5%
168 1
0.5%
215 1
0.5%
ValueCountFrequency (%)
2813 1
0.5%
2781 1
0.5%
2775 1
0.5%
2743 1
0.5%
2617 1
0.5%
2589 1
0.5%
2587 1
0.5%
2563 1
0.5%
2544 1
0.5%
2524 1
0.5%

690
Real number (ℝ)

Distinct191
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1292.9497
Minimum3
Maximum3189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:01.021781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile240.8
Q1702
median1127
Q31863.5
95-th percentile2555.8
Maximum3189
Range3186
Interquartile range (IQR)1161.5

Descriptive statistics

Standard deviation738.44932
Coefficient of variation (CV)0.57113536
Kurtosis-0.74145383
Mean1292.9497
Median Absolute Deviation (MAD)546
Skewness0.45747537
Sum257297
Variance545307.4
MonotonicityNot monotonic
2023-12-10T15:45:01.218842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1385 2
 
1.0%
662 2
 
1.0%
1261 2
 
1.0%
1003 2
 
1.0%
1766 2
 
1.0%
609 2
 
1.0%
1327 2
 
1.0%
478 2
 
1.0%
1590 1
 
0.5%
2620 1
 
0.5%
Other values (181) 181
91.0%
ValueCountFrequency (%)
3 1
0.5%
50 1
0.5%
93 1
0.5%
112 1
0.5%
128 1
0.5%
175 1
0.5%
181 1
0.5%
185 1
0.5%
196 1
0.5%
239 1
0.5%
ValueCountFrequency (%)
3189 1
0.5%
3004 1
0.5%
2996 1
0.5%
2856 1
0.5%
2839 1
0.5%
2808 1
0.5%
2802 1
0.5%
2667 1
0.5%
2620 1
0.5%
2599 1
0.5%

534
Real number (ℝ)

Distinct190
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1182.0452
Minimum3
Maximum3245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:01.429580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile235.6
Q1633
median1044
Q31698
95-th percentile2391.7
Maximum3245
Range3242
Interquartile range (IQR)1065

Descriptive statistics

Standard deviation693.28762
Coefficient of variation (CV)0.58651531
Kurtosis-0.44905711
Mean1182.0452
Median Absolute Deviation (MAD)491
Skewness0.58532023
Sum235227
Variance480647.72
MonotonicityNot monotonic
2023-12-10T15:45:01.662950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1479 3
 
1.5%
1600 2
 
1.0%
688 2
 
1.0%
671 2
 
1.0%
1655 2
 
1.0%
1708 2
 
1.0%
214 2
 
1.0%
1234 2
 
1.0%
1906 1
 
0.5%
1282 1
 
0.5%
Other values (180) 180
90.5%
ValueCountFrequency (%)
3 1
0.5%
42 1
0.5%
83 1
0.5%
111 1
0.5%
114 1
0.5%
186 1
0.5%
189 1
0.5%
193 1
0.5%
214 2
1.0%
238 1
0.5%
ValueCountFrequency (%)
3245 1
0.5%
2857 1
0.5%
2850 1
0.5%
2754 1
0.5%
2716 1
0.5%
2708 1
0.5%
2688 1
0.5%
2564 1
0.5%
2476 1
0.5%
2461 1
0.5%

380
Real number (ℝ)

Distinct188
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean837.03518
Minimum2
Maximum2199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:01.912358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile157.7
Q1457
median734
Q31187
95-th percentile1706.7
Maximum2199
Range2197
Interquartile range (IQR)730

Descriptive statistics

Standard deviation485.09281
Coefficient of variation (CV)0.57953695
Kurtosis-0.39687241
Mean837.03518
Median Absolute Deviation (MAD)322
Skewness0.58694024
Sum166570
Variance235315.03
MonotonicityNot monotonic
2023-12-10T15:45:02.173779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1067 2
 
1.0%
541 2
 
1.0%
1396 2
 
1.0%
1607 2
 
1.0%
956 2
 
1.0%
935 2
 
1.0%
456 2
 
1.0%
450 2
 
1.0%
492 2
 
1.0%
535 2
 
1.0%
Other values (178) 179
89.9%
ValueCountFrequency (%)
2 1
0.5%
27 1
0.5%
58 1
0.5%
79 1
0.5%
81 1
0.5%
125 1
0.5%
127 1
0.5%
137 1
0.5%
149 1
0.5%
155 1
0.5%
ValueCountFrequency (%)
2199 1
0.5%
2065 1
0.5%
2054 1
0.5%
1950 1
0.5%
1924 1
0.5%
1922 1
0.5%
1896 1
0.5%
1829 1
0.5%
1777 1
0.5%
1740 1
0.5%

4.23
Real number (ℝ)

Distinct65
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.075377
Minimum0
Maximum132
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:02.404713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q113
median20
Q331.5
95-th percentile65.1
Maximum132
Range132
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation19.947642
Coefficient of variation (CV)0.76499919
Kurtosis6.4273028
Mean26.075377
Median Absolute Deviation (MAD)9
Skewness2.1667956
Sum5189
Variance397.90843
MonotonicityNot monotonic
2023-12-10T15:45:02.619244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 14
 
7.0%
18 11
 
5.5%
10 10
 
5.0%
26 8
 
4.0%
11 8
 
4.0%
23 8
 
4.0%
17 8
 
4.0%
13 7
 
3.5%
9 6
 
3.0%
12 6
 
3.0%
Other values (55) 113
56.8%
ValueCountFrequency (%)
0 1
 
0.5%
3 2
 
1.0%
4 2
 
1.0%
5 1
 
0.5%
6 1
 
0.5%
7 5
2.5%
8 3
 
1.5%
9 6
3.0%
10 10
5.0%
11 8
4.0%
ValueCountFrequency (%)
132 1
0.5%
116 1
0.5%
99 1
0.5%
91 1
0.5%
81 1
0.5%
80 1
0.5%
73 1
0.5%
70 1
0.5%
69 1
0.5%
66 1
0.5%

287
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean677.14573
Minimum2
Maximum1636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:02.819863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile122.6
Q1383.5
median599
Q3992
95-th percentile1385.6
Maximum1636
Range1634
Interquartile range (IQR)608.5

Descriptive statistics

Standard deviation385.02017
Coefficient of variation (CV)0.56859277
Kurtosis-0.58300636
Mean677.14573
Median Absolute Deviation (MAD)250
Skewness0.52736152
Sum134752
Variance148240.53
MonotonicityNot monotonic
2023-12-10T15:45:03.010394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
361 3
 
1.5%
123 2
 
1.0%
726 2
 
1.0%
425 2
 
1.0%
321 2
 
1.0%
621 2
 
1.0%
1409 2
 
1.0%
647 2
 
1.0%
487 2
 
1.0%
311 2
 
1.0%
Other values (173) 178
89.4%
ValueCountFrequency (%)
2 1
0.5%
23 1
0.5%
47 1
0.5%
61 1
0.5%
65 1
0.5%
105 1
0.5%
107 2
1.0%
113 1
0.5%
119 1
0.5%
123 2
1.0%
ValueCountFrequency (%)
1636 1
0.5%
1613 1
0.5%
1542 1
0.5%
1534 1
0.5%
1499 1
0.5%
1474 1
0.5%
1465 1
0.5%
1420 1
0.5%
1409 2
1.0%
1383 1
0.5%

161.1
Real number (ℝ)

Distinct173
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean494.54774
Minimum1
Maximum1241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:03.265563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile81.9
Q1267
median416
Q3748.5
95-th percentile1031.1
Maximum1241
Range1240
Interquartile range (IQR)481.5

Descriptive statistics

Standard deviation300.78326
Coefficient of variation (CV)0.60819864
Kurtosis-0.6845983
Mean494.54774
Median Absolute Deviation (MAD)190
Skewness0.60028906
Sum98415
Variance90470.572
MonotonicityNot monotonic
2023-12-10T15:45:03.466391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
364 3
 
1.5%
211 3
 
1.5%
403 2
 
1.0%
476 2
 
1.0%
618 2
 
1.0%
299 2
 
1.0%
368 2
 
1.0%
440 2
 
1.0%
267 2
 
1.0%
346 2
 
1.0%
Other values (163) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
15 1
0.5%
33 1
0.5%
39 1
0.5%
46 1
0.5%
72 1
0.5%
74 1
0.5%
78 1
0.5%
79 1
0.5%
81 1
0.5%
ValueCountFrequency (%)
1241 1
0.5%
1188 1
0.5%
1182 1
0.5%
1155 1
0.5%
1145 1
0.5%
1116 1
0.5%
1089 1
0.5%
1051 1
0.5%
1044 1
0.5%
1032 1
0.5%

159
Real number (ℝ)

Distinct177
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.17085
Minimum1
Maximum1605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:03.676839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile92.7
Q1270.5
median416
Q3726
95-th percentile945.2
Maximum1605
Range1604
Interquartile range (IQR)455.5

Descriptive statistics

Standard deviation280.02358
Coefficient of variation (CV)0.57835694
Kurtosis0.092433244
Mean484.17085
Median Absolute Deviation (MAD)184
Skewness0.64352559
Sum96350
Variance78413.203
MonotonicityNot monotonic
2023-12-10T15:45:03.857549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
407 3
 
1.5%
476 3
 
1.5%
241 3
 
1.5%
373 2
 
1.0%
102 2
 
1.0%
828 2
 
1.0%
504 2
 
1.0%
340 2
 
1.0%
234 2
 
1.0%
945 2
 
1.0%
Other values (167) 176
88.4%
ValueCountFrequency (%)
1 1
0.5%
16 1
0.5%
39 1
0.5%
45 1
0.5%
61 1
0.5%
82 1
0.5%
85 1
0.5%
86 1
0.5%
87 1
0.5%
90 1
0.5%
ValueCountFrequency (%)
1605 1
0.5%
1156 1
0.5%
1076 1
0.5%
1060 1
0.5%
1031 1
0.5%
1005 1
0.5%
965 1
0.5%
963 1
0.5%
954 1
0.5%
947 1
0.5%

77.1
Real number (ℝ)

Distinct158
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264.62312
Minimum0
Maximum709
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:04.076881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile49.7
Q1154
median222
Q3318.5
95-th percentile602.5
Maximum709
Range709
Interquartile range (IQR)164.5

Descriptive statistics

Standard deviation162.66003
Coefficient of variation (CV)0.61468566
Kurtosis0.2644598
Mean264.62312
Median Absolute Deviation (MAD)77
Skewness0.96989812
Sum52660
Variance26458.287
MonotonicityNot monotonic
2023-12-10T15:45:04.688132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
224 3
 
1.5%
222 3
 
1.5%
157 3
 
1.5%
176 3
 
1.5%
123 3
 
1.5%
261 3
 
1.5%
186 3
 
1.5%
202 3
 
1.5%
265 2
 
1.0%
31 2
 
1.0%
Other values (148) 171
85.9%
ValueCountFrequency (%)
0 1
0.5%
14 1
0.5%
16 1
0.5%
29 1
0.5%
31 2
1.0%
40 2
1.0%
43 1
0.5%
47 1
0.5%
50 1
0.5%
75 1
0.5%
ValueCountFrequency (%)
709 1
0.5%
703 1
0.5%
682 1
0.5%
680 1
0.5%
653 1
0.5%
648 1
0.5%
643 1
0.5%
634 1
0.5%
621 1
0.5%
607 1
0.5%

180.1
Real number (ℝ)

Distinct169
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.97487
Minimum1
Maximum984
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:04.875995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile69
Q1197
median291
Q3424.5
95-th percentile695.7
Maximum984
Range983
Interquartile range (IQR)227.5

Descriptive statistics

Standard deviation188.24228
Coefficient of variation (CV)0.58103975
Kurtosis0.77940791
Mean323.97487
Median Absolute Deviation (MAD)114
Skewness0.89708115
Sum64471
Variance35435.156
MonotonicityNot monotonic
2023-12-10T15:45:05.061577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177 4
 
2.0%
244 4
 
2.0%
262 3
 
1.5%
283 3
 
1.5%
260 3
 
1.5%
344 2
 
1.0%
276 2
 
1.0%
330 2
 
1.0%
58 2
 
1.0%
481 2
 
1.0%
Other values (159) 172
86.4%
ValueCountFrequency (%)
1 1
0.5%
22 1
0.5%
24 1
0.5%
31 1
0.5%
32 1
0.5%
51 1
0.5%
58 2
1.0%
60 1
0.5%
69 2
1.0%
70 2
1.0%
ValueCountFrequency (%)
984 1
0.5%
883 1
0.5%
863 1
0.5%
800 1
0.5%
799 1
0.5%
784 1
0.5%
769 1
0.5%
761 1
0.5%
748 1
0.5%
702 1
0.5%

388
Real number (ℝ)

Distinct171
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342.0804
Minimum1
Maximum1322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:05.236322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.1
Q1199
median300
Q3440.5
95-th percentile808.9
Maximum1322
Range1321
Interquartile range (IQR)241.5

Descriptive statistics

Standard deviation217.63765
Coefficient of variation (CV)0.63621782
Kurtosis2.7307454
Mean342.0804
Median Absolute Deviation (MAD)108
Skewness1.3527681
Sum68074
Variance47366.145
MonotonicityNot monotonic
2023-12-10T15:45:05.438107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
158 3
 
1.5%
337 3
 
1.5%
241 3
 
1.5%
289 3
 
1.5%
355 3
 
1.5%
240 2
 
1.0%
451 2
 
1.0%
74 2
 
1.0%
404 2
 
1.0%
323 2
 
1.0%
Other values (161) 174
87.4%
ValueCountFrequency (%)
1 1
0.5%
22 1
0.5%
28 1
0.5%
34 1
0.5%
35 1
0.5%
37 1
0.5%
44 1
0.5%
46 1
0.5%
51 1
0.5%
54 1
0.5%
ValueCountFrequency (%)
1322 1
0.5%
1084 1
0.5%
987 1
0.5%
963 1
0.5%
956 1
0.5%
942 1
0.5%
918 1
0.5%
877 1
0.5%
857 1
0.5%
844 1
0.5%

518
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.77387
Minimum1
Maximum1630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:05.613759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile81.6
Q1243.5
median394
Q3553
95-th percentile837.6
Maximum1630
Range1629
Interquartile range (IQR)309.5

Descriptive statistics

Standard deviation261.96772
Coefficient of variation (CV)0.61817808
Kurtosis3.4001882
Mean423.77387
Median Absolute Deviation (MAD)155
Skewness1.3461204
Sum84331
Variance68627.085
MonotonicityNot monotonic
2023-12-10T15:45:05.800820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
343 3
 
1.5%
530 2
 
1.0%
178 2
 
1.0%
193 2
 
1.0%
157 2
 
1.0%
252 2
 
1.0%
632 2
 
1.0%
327 2
 
1.0%
394 2
 
1.0%
554 2
 
1.0%
Other values (173) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
24 1
0.5%
32 1
0.5%
33 1
0.5%
41 1
0.5%
42 1
0.5%
44 2
1.0%
47 1
0.5%
60 1
0.5%
84 1
0.5%
ValueCountFrequency (%)
1630 1
0.5%
1443 1
0.5%
1388 1
0.5%
1290 1
0.5%
1036 1
0.5%
994 1
0.5%
988 1
0.5%
957 1
0.5%
904 1
0.5%
852 1
0.5%

387
Real number (ℝ)

Distinct177
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.41206
Minimum1
Maximum1139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:06.029126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile92.9
Q1301.5
median506
Q3739.5
95-th percentile997.6
Maximum1139
Range1138
Interquartile range (IQR)438

Descriptive statistics

Standard deviation272.80511
Coefficient of variation (CV)0.52827021
Kurtosis-0.76118357
Mean516.41206
Median Absolute Deviation (MAD)211
Skewness0.29017675
Sum102766
Variance74422.627
MonotonicityNot monotonic
2023-12-10T15:45:06.214843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
593 3
 
1.5%
346 3
 
1.5%
381 2
 
1.0%
376 2
 
1.0%
513 2
 
1.0%
370 2
 
1.0%
765 2
 
1.0%
662 2
 
1.0%
917 2
 
1.0%
1028 2
 
1.0%
Other values (167) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
24 1
0.5%
36 1
0.5%
43 1
0.5%
50 1
0.5%
59 1
0.5%
62 1
0.5%
64 1
0.5%
66 1
0.5%
83 1
0.5%
ValueCountFrequency (%)
1139 1
0.5%
1125 1
0.5%
1083 1
0.5%
1067 1
0.5%
1053 1
0.5%
1032 1
0.5%
1028 2
1.0%
1022 1
0.5%
1021 1
0.5%
995 1
0.5%

302
Real number (ℝ)

Distinct180
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean650.70854
Minimum1
Maximum1887
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:06.410810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile114
Q1344
median615
Q3863.5
95-th percentile1294.2
Maximum1887
Range1886
Interquartile range (IQR)519.5

Descriptive statistics

Standard deviation380.2444
Coefficient of variation (CV)0.5843544
Kurtosis0.69604469
Mean650.70854
Median Absolute Deviation (MAD)267
Skewness0.80368638
Sum129491
Variance144585.8
MonotonicityNot monotonic
2023-12-10T15:45:06.661480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
283 3
 
1.5%
769 3
 
1.5%
263 2
 
1.0%
385 2
 
1.0%
818 2
 
1.0%
547 2
 
1.0%
915 2
 
1.0%
114 2
 
1.0%
289 2
 
1.0%
557 2
 
1.0%
Other values (170) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
20 1
0.5%
44 1
0.5%
46 1
0.5%
61 1
0.5%
73 1
0.5%
81 1
0.5%
91 1
0.5%
93 1
0.5%
114 2
1.0%
ValueCountFrequency (%)
1887 1
0.5%
1838 1
0.5%
1798 1
0.5%
1789 1
0.5%
1660 1
0.5%
1606 1
0.5%
1573 1
0.5%
1413 1
0.5%
1373 1
0.5%
1296 1
0.5%

204
Real number (ℝ)

Distinct182
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean621.72864
Minimum1
Maximum2056
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:06.873945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile112.8
Q1318
median581
Q3789.5
95-th percentile1329.4
Maximum2056
Range2055
Interquartile range (IQR)471.5

Descriptive statistics

Standard deviation390.70431
Coefficient of variation (CV)0.62841613
Kurtosis2.2140691
Mean621.72864
Median Absolute Deviation (MAD)239
Skewness1.2490201
Sum123724
Variance152649.86
MonotonicityNot monotonic
2023-12-10T15:45:07.072178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
223 3
 
1.5%
327 2
 
1.0%
114 2
 
1.0%
448 2
 
1.0%
284 2
 
1.0%
237 2
 
1.0%
268 2
 
1.0%
898 2
 
1.0%
249 2
 
1.0%
314 2
 
1.0%
Other values (172) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
16 1
0.5%
39 1
0.5%
44 1
0.5%
61 1
0.5%
78 1
0.5%
87 1
0.5%
91 1
0.5%
93 1
0.5%
102 1
0.5%
ValueCountFrequency (%)
2056 1
0.5%
1992 1
0.5%
1960 1
0.5%
1939 1
0.5%
1841 1
0.5%
1697 1
0.5%
1677 1
0.5%
1469 1
0.5%
1393 1
0.5%
1387 1
0.5%

2.18
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.361809
Minimum0
Maximum117
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:07.268581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q111
median17
Q325
95-th percentile45
Maximum117
Range117
Interquartile range (IQR)14

Descriptive statistics

Standard deviation15.137409
Coefficient of variation (CV)0.74342163
Kurtosis11.146285
Mean20.361809
Median Absolute Deviation (MAD)7
Skewness2.6301785
Sum4052
Variance229.14116
MonotonicityNot monotonic
2023-12-10T15:45:07.511850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 11
 
5.5%
19 11
 
5.5%
10 11
 
5.5%
21 11
 
5.5%
17 10
 
5.0%
7 9
 
4.5%
20 9
 
4.5%
14 9
 
4.5%
12 8
 
4.0%
9 7
 
3.5%
Other values (41) 103
51.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 3
 
1.5%
5 1
 
0.5%
6 6
3.0%
7 9
4.5%
8 5
2.5%
9 7
3.5%
10 11
5.5%
ValueCountFrequency (%)
117 1
0.5%
94 1
0.5%
79 1
0.5%
60 1
0.5%
59 1
0.5%
58 1
0.5%
54 1
0.5%
53 1
0.5%
47 1
0.5%
45 2
1.0%

185
Real number (ℝ)

Distinct185
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean706.27638
Minimum1
Maximum2088
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:07.752521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile122.1
Q1381.5
median652
Q3918.5
95-th percentile1466.8
Maximum2088
Range2087
Interquartile range (IQR)537

Descriptive statistics

Standard deviation423.05663
Coefficient of variation (CV)0.59899585
Kurtosis1.0368854
Mean706.27638
Median Absolute Deviation (MAD)270
Skewness0.99180131
Sum140549
Variance178976.91
MonotonicityNot monotonic
2023-12-10T15:45:07.950277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
529 3
 
1.5%
513 2
 
1.0%
740 2
 
1.0%
732 2
 
1.0%
725 2
 
1.0%
566 2
 
1.0%
684 2
 
1.0%
982 2
 
1.0%
734 2
 
1.0%
776 2
 
1.0%
Other values (175) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
27 1
0.5%
43 1
0.5%
63 1
0.5%
87 1
0.5%
89 1
0.5%
91 1
0.5%
92 1
0.5%
103 1
0.5%
114 1
0.5%
ValueCountFrequency (%)
2088 1
0.5%
2078 1
0.5%
1994 1
0.5%
1957 1
0.5%
1910 1
0.5%
1829 1
0.5%
1734 1
0.5%
1658 1
0.5%
1589 1
0.5%
1510 1
0.5%

262
Real number (ℝ)

Distinct188
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean634.11055
Minimum1
Maximum1586
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:08.142549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile130.7
Q1383
median597
Q3821
95-th percentile1309.9
Maximum1586
Range1585
Interquartile range (IQR)438

Descriptive statistics

Standard deviation345.58482
Coefficient of variation (CV)0.54499143
Kurtosis-0.097477723
Mean634.11055
Median Absolute Deviation (MAD)218
Skewness0.58172631
Sum126188
Variance119428.87
MonotonicityNot monotonic
2023-12-10T15:45:08.334772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
756 3
 
1.5%
379 2
 
1.0%
752 2
 
1.0%
636 2
 
1.0%
407 2
 
1.0%
542 2
 
1.0%
618 2
 
1.0%
884 2
 
1.0%
490 2
 
1.0%
473 2
 
1.0%
Other values (178) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
31 1
0.5%
41 1
0.5%
59 1
0.5%
75 1
0.5%
76 1
0.5%
82 1
0.5%
89 1
0.5%
96 1
0.5%
110 1
0.5%
ValueCountFrequency (%)
1586 1
0.5%
1513 1
0.5%
1483 1
0.5%
1474 1
0.5%
1455 1
0.5%
1451 1
0.5%
1388 1
0.5%
1371 1
0.5%
1321 1
0.5%
1318 1
0.5%

501
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean732.63819
Minimum1
Maximum1805
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:08.544466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile145.3
Q1407.5
median706
Q31002
95-th percentile1435.8
Maximum1805
Range1804
Interquartile range (IQR)594.5

Descriptive statistics

Standard deviation401.5229
Coefficient of variation (CV)0.54805073
Kurtosis-0.41986503
Mean732.63819
Median Absolute Deviation (MAD)300
Skewness0.42252426
Sum145795
Variance161220.64
MonotonicityNot monotonic
2023-12-10T15:45:08.720461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
400 3
 
1.5%
401 2
 
1.0%
877 2
 
1.0%
724 2
 
1.0%
330 2
 
1.0%
943 2
 
1.0%
753 2
 
1.0%
590 2
 
1.0%
1261 2
 
1.0%
706 2
 
1.0%
Other values (174) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
36 1
0.5%
52 1
0.5%
57 1
0.5%
78 1
0.5%
80 1
0.5%
85 1
0.5%
86 2
1.0%
121 1
0.5%
148 1
0.5%
ValueCountFrequency (%)
1805 1
0.5%
1801 1
0.5%
1704 1
0.5%
1690 1
0.5%
1645 1
0.5%
1540 1
0.5%
1499 1
0.5%
1478 1
0.5%
1476 1
0.5%
1461 1
0.5%

470
Real number (ℝ)

Distinct187
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean643.97487
Minimum1
Maximum1469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:08.867939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile121.3
Q1355.5
median623
Q3916
95-th percentile1239.3
Maximum1469
Range1468
Interquartile range (IQR)560.5

Descriptive statistics

Standard deviation347.05369
Coefficient of variation (CV)0.53892428
Kurtosis-0.85447717
Mean643.97487
Median Absolute Deviation (MAD)278
Skewness0.28342415
Sum128151
Variance120446.27
MonotonicityNot monotonic
2023-12-10T15:45:09.037398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1177 2
 
1.0%
702 2
 
1.0%
867 2
 
1.0%
1019 2
 
1.0%
377 2
 
1.0%
570 2
 
1.0%
448 2
 
1.0%
307 2
 
1.0%
1000 2
 
1.0%
627 2
 
1.0%
Other values (177) 179
89.9%
ValueCountFrequency (%)
1 1
0.5%
28 1
0.5%
47 1
0.5%
55 1
0.5%
65 1
0.5%
72 1
0.5%
79 1
0.5%
81 1
0.5%
83 1
0.5%
106 1
0.5%
ValueCountFrequency (%)
1469 1
0.5%
1423 1
0.5%
1313 1
0.5%
1305 1
0.5%
1288 1
0.5%
1282 1
0.5%
1281 1
0.5%
1266 1
0.5%
1264 1
0.5%
1260 1
0.5%

364
Real number (ℝ)

Distinct185
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean619.75377
Minimum1
Maximum1480
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:09.216865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile114.7
Q1338
median538
Q3906
95-th percentile1205.1
Maximum1480
Range1479
Interquartile range (IQR)568

Descriptive statistics

Standard deviation350.53288
Coefficient of variation (CV)0.56560023
Kurtosis-0.8806312
Mean619.75377
Median Absolute Deviation (MAD)259
Skewness0.3948781
Sum123331
Variance122873.3
MonotonicityNot monotonic
2023-12-10T15:45:09.376998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
424 2
 
1.0%
373 2
 
1.0%
235 2
 
1.0%
962 2
 
1.0%
490 2
 
1.0%
642 2
 
1.0%
1108 2
 
1.0%
955 2
 
1.0%
226 2
 
1.0%
89 2
 
1.0%
Other values (175) 179
89.9%
ValueCountFrequency (%)
1 1
0.5%
23 1
0.5%
43 1
0.5%
55 1
0.5%
60 1
0.5%
80 1
0.5%
87 1
0.5%
89 2
1.0%
112 1
0.5%
115 1
0.5%
ValueCountFrequency (%)
1480 1
0.5%
1374 1
0.5%
1362 1
0.5%
1340 1
0.5%
1334 1
0.5%
1305 1
0.5%
1290 1
0.5%
1273 1
0.5%
1241 1
0.5%
1206 1
0.5%

264
Real number (ℝ)

Distinct178
Distinct (%)89.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean551.90955
Minimum1
Maximum1553
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:09.530030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile110.9
Q1293.5
median489
Q3798
95-th percentile1089.5
Maximum1553
Range1552
Interquartile range (IQR)504.5

Descriptive statistics

Standard deviation323.45346
Coefficient of variation (CV)0.58606245
Kurtosis-0.60222938
Mean551.90955
Median Absolute Deviation (MAD)235
Skewness0.51864207
Sum109830
Variance104622.14
MonotonicityNot monotonic
2023-12-10T15:45:09.694752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
744 3
 
1.5%
1007 2
 
1.0%
588 2
 
1.0%
909 2
 
1.0%
254 2
 
1.0%
442 2
 
1.0%
298 2
 
1.0%
680 2
 
1.0%
322 2
 
1.0%
223 2
 
1.0%
Other values (168) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
18 1
0.5%
36 1
0.5%
49 1
0.5%
52 1
0.5%
79 1
0.5%
90 1
0.5%
91 1
0.5%
92 2
1.0%
113 1
0.5%
ValueCountFrequency (%)
1553 1
0.5%
1265 1
0.5%
1264 1
0.5%
1251 1
0.5%
1246 1
0.5%
1195 1
0.5%
1187 1
0.5%
1148 1
0.5%
1143 1
0.5%
1121 1
0.5%

187.1
Real number (ℝ)

Distinct173
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383.50754
Minimum1
Maximum1054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:10.298709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile76.2
Q1205
median328
Q3547
95-th percentile762.1
Maximum1054
Range1053
Interquartile range (IQR)342

Descriptive statistics

Standard deviation225.15954
Coefficient of variation (CV)0.5871059
Kurtosis-0.42629194
Mean383.50754
Median Absolute Deviation (MAD)149
Skewness0.59925101
Sum76318
Variance50696.817
MonotonicityNot monotonic
2023-12-10T15:45:10.492202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
175 3
 
1.5%
480 3
 
1.5%
234 2
 
1.0%
196 2
 
1.0%
190 2
 
1.0%
306 2
 
1.0%
200 2
 
1.0%
212 2
 
1.0%
721 2
 
1.0%
161 2
 
1.0%
Other values (163) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
12 1
0.5%
27 1
0.5%
37 1
0.5%
39 1
0.5%
59 1
0.5%
60 1
0.5%
62 1
0.5%
68 1
0.5%
69 1
0.5%
ValueCountFrequency (%)
1054 1
0.5%
931 1
0.5%
910 1
0.5%
908 1
0.5%
894 1
0.5%
881 1
0.5%
878 1
0.5%
842 1
0.5%
805 1
0.5%
781 1
0.5%

140
Real number (ℝ)

Distinct168
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean314.0603
Minimum1
Maximum809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:10.679565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.7
Q1175.5
median272
Q3441
95-th percentile639
Maximum809
Range808
Interquartile range (IQR)265.5

Descriptive statistics

Standard deviation178.80237
Coefficient of variation (CV)0.56932498
Kurtosis-0.26208963
Mean314.0603
Median Absolute Deviation (MAD)106
Skewness0.62732468
Sum62498
Variance31970.289
MonotonicityNot monotonic
2023-12-10T15:45:10.958433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
179 3
 
1.5%
155 3
 
1.5%
242 2
 
1.0%
525 2
 
1.0%
113 2
 
1.0%
186 2
 
1.0%
542 2
 
1.0%
161 2
 
1.0%
235 2
 
1.0%
222 2
 
1.0%
Other values (158) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
11 1
0.5%
24 1
0.5%
30 1
0.5%
34 1
0.5%
48 1
0.5%
49 2
1.0%
56 1
0.5%
57 1
0.5%
60 1
0.5%
ValueCountFrequency (%)
809 1
0.5%
782 1
0.5%
757 1
0.5%
749 1
0.5%
731 1
0.5%
718 1
0.5%
710 1
0.5%
701 1
0.5%
662 1
0.5%
657 1
0.5%

90
Real number (ℝ)

Distinct157
Distinct (%)78.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean227.53266
Minimum1
Maximum558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:11.141237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36.8
Q1131.5
median198
Q3333
95-th percentile456.5
Maximum558
Range557
Interquartile range (IQR)201.5

Descriptive statistics

Standard deviation132.30764
Coefficient of variation (CV)0.58148854
Kurtosis-0.69666433
Mean227.53266
Median Absolute Deviation (MAD)84
Skewness0.53536591
Sum45279
Variance17505.311
MonotonicityNot monotonic
2023-12-10T15:45:11.358318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
133 4
 
2.0%
145 4
 
2.0%
99 3
 
1.5%
218 3
 
1.5%
217 3
 
1.5%
174 2
 
1.0%
96 2
 
1.0%
343 2
 
1.0%
373 2
 
1.0%
486 2
 
1.0%
Other values (147) 172
86.4%
ValueCountFrequency (%)
1 1
0.5%
7 1
0.5%
15 1
0.5%
19 1
0.5%
21 1
0.5%
31 1
0.5%
33 1
0.5%
34 1
0.5%
35 2
1.0%
37 1
0.5%
ValueCountFrequency (%)
558 1
0.5%
529 1
0.5%
514 1
0.5%
504 1
0.5%
488 1
0.5%
486 2
1.0%
483 1
0.5%
467 1
0.5%
461 1
0.5%
456 2
1.0%

56
Real number (ℝ)

Distinct155
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean176.03518
Minimum1
Maximum462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:11.601962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile29
Q199
median155
Q3256
95-th percentile350.9
Maximum462
Range461
Interquartile range (IQR)157

Descriptive statistics

Standard deviation99.01318
Coefficient of variation (CV)0.56246247
Kurtosis-0.45864965
Mean176.03518
Median Absolute Deviation (MAD)71
Skewness0.5061052
Sum35031
Variance9803.6099
MonotonicityNot monotonic
2023-12-10T15:45:11.853831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79 4
 
2.0%
28 3
 
1.5%
29 3
 
1.5%
241 3
 
1.5%
99 3
 
1.5%
143 3
 
1.5%
200 3
 
1.5%
126 3
 
1.5%
280 2
 
1.0%
57 2
 
1.0%
Other values (145) 170
85.4%
ValueCountFrequency (%)
1 1
 
0.5%
5 1
 
0.5%
15 2
1.0%
20 1
 
0.5%
28 3
1.5%
29 3
1.5%
31 1
 
0.5%
34 1
 
0.5%
38 1
 
0.5%
48 1
 
0.5%
ValueCountFrequency (%)
462 1
0.5%
440 1
0.5%
413 1
0.5%
404 1
0.5%
386 1
0.5%
371 1
0.5%
363 1
0.5%
362 1
0.5%
360 1
0.5%
359 1
0.5%

1.7
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.346734
Minimum0
Maximum87
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:12.088531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q19.5
median17
Q326.5
95-th percentile52.2
Maximum87
Range87
Interquartile range (IQR)17

Descriptive statistics

Standard deviation14.964786
Coefficient of variation (CV)0.73548838
Kurtosis3.2752637
Mean20.346734
Median Absolute Deviation (MAD)9
Skewness1.5699244
Sum4049
Variance223.94483
MonotonicityNot monotonic
2023-12-10T15:45:12.302364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 10
 
5.0%
15 9
 
4.5%
21 9
 
4.5%
18 8
 
4.0%
6 8
 
4.0%
13 8
 
4.0%
16 8
 
4.0%
7 8
 
4.0%
10 7
 
3.5%
26 7
 
3.5%
Other values (43) 117
58.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 3
 
1.5%
2 2
 
1.0%
3 2
 
1.0%
4 5
2.5%
5 10
5.0%
6 8
4.0%
7 8
4.0%
8 7
3.5%
9 4
 
2.0%
ValueCountFrequency (%)
87 1
 
0.5%
76 1
 
0.5%
75 1
 
0.5%
64 1
 
0.5%
63 1
 
0.5%
57 1
 
0.5%
55 3
1.5%
54 1
 
0.5%
52 1
 
0.5%
51 1
 
0.5%

72.1
Real number (ℝ)

Distinct168
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.47236
Minimum0
Maximum692
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:12.523356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46.7
Q1146.5
median214
Q3311
95-th percentile582.5
Maximum692
Range692
Interquartile range (IQR)164.5

Descriptive statistics

Standard deviation156.30312
Coefficient of variation (CV)0.61664758
Kurtosis0.4355992
Mean253.47236
Median Absolute Deviation (MAD)77
Skewness1.0028735
Sum50441
Variance24430.665
MonotonicityNot monotonic
2023-12-10T15:45:12.754946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191 4
 
2.0%
276 3
 
1.5%
177 3
 
1.5%
283 3
 
1.5%
145 3
 
1.5%
184 3
 
1.5%
161 3
 
1.5%
166 2
 
1.0%
95 2
 
1.0%
222 2
 
1.0%
Other values (158) 171
85.9%
ValueCountFrequency (%)
0 1
0.5%
13 1
0.5%
15 1
0.5%
28 1
0.5%
29 2
1.0%
37 1
0.5%
39 1
0.5%
41 1
0.5%
44 1
0.5%
47 1
0.5%
ValueCountFrequency (%)
692 1
0.5%
685 1
0.5%
665 1
0.5%
656 1
0.5%
637 1
0.5%
636 1
0.5%
633 1
0.5%
628 1
0.5%
600 1
0.5%
596 1
0.5%

140.1
Real number (ℝ)

Distinct163
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean305.03015
Minimum0
Maximum910
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:12.994438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile71.7
Q1182.5
median273
Q3397
95-th percentile675.4
Maximum910
Range910
Interquartile range (IQR)214.5

Descriptive statistics

Standard deviation180.27913
Coefficient of variation (CV)0.59102069
Kurtosis0.90597026
Mean305.03015
Median Absolute Deviation (MAD)106
Skewness0.96396725
Sum60701
Variance32500.565
MonotonicityNot monotonic
2023-12-10T15:45:13.210679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201 4
 
2.0%
255 3
 
1.5%
400 3
 
1.5%
270 3
 
1.5%
278 2
 
1.0%
319 2
 
1.0%
366 2
 
1.0%
82 2
 
1.0%
167 2
 
1.0%
293 2
 
1.0%
Other values (153) 174
87.4%
ValueCountFrequency (%)
0 1
0.5%
23 2
1.0%
29 1
0.5%
30 1
0.5%
50 1
0.5%
56 1
0.5%
58 1
0.5%
60 1
0.5%
69 1
0.5%
72 2
1.0%
ValueCountFrequency (%)
910 1
0.5%
839 1
0.5%
820 1
0.5%
797 1
0.5%
780 1
0.5%
770 1
0.5%
761 1
0.5%
759 1
0.5%
713 1
0.5%
697 1
0.5%

261
Real number (ℝ)

Distinct165
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean319.8593
Minimum0
Maximum1077
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:13.421266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile60.8
Q1180.5
median286
Q3406
95-th percentile721.9
Maximum1077
Range1077
Interquartile range (IQR)225.5

Descriptive statistics

Standard deviation199.7865
Coefficient of variation (CV)0.62460746
Kurtosis2.0059239
Mean319.8593
Median Absolute Deviation (MAD)116
Skewness1.211757
Sum63652
Variance39914.647
MonotonicityNot monotonic
2023-12-10T15:45:13.623547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
321 3
 
1.5%
237 3
 
1.5%
285 2
 
1.0%
835 2
 
1.0%
272 2
 
1.0%
50 2
 
1.0%
62 2
 
1.0%
234 2
 
1.0%
150 2
 
1.0%
275 2
 
1.0%
Other values (155) 177
88.9%
ValueCountFrequency (%)
0 1
0.5%
23 1
0.5%
26 1
0.5%
28 1
0.5%
29 1
0.5%
36 1
0.5%
43 1
0.5%
45 1
0.5%
50 2
1.0%
62 2
1.0%
ValueCountFrequency (%)
1077 1
0.5%
1067 1
0.5%
958 1
0.5%
892 1
0.5%
835 2
1.0%
833 1
0.5%
832 1
0.5%
764 1
0.5%
739 1
0.5%
720 1
0.5%

378
Real number (ℝ)

Distinct174
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean392.20101
Minimum1
Maximum1258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:13.805931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile83.9
Q1221.5
median357
Q3518
95-th percentile904.9
Maximum1258
Range1257
Interquartile range (IQR)296.5

Descriptive statistics

Standard deviation238.82921
Coefficient of variation (CV)0.60894595
Kurtosis1.3671106
Mean392.20101
Median Absolute Deviation (MAD)152
Skewness1.0454996
Sum78048
Variance57039.394
MonotonicityNot monotonic
2023-12-10T15:45:14.053923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
593 3
 
1.5%
367 3
 
1.5%
516 3
 
1.5%
423 2
 
1.0%
163 2
 
1.0%
426 2
 
1.0%
240 2
 
1.0%
46 2
 
1.0%
368 2
 
1.0%
173 2
 
1.0%
Other values (164) 176
88.4%
ValueCountFrequency (%)
1 1
0.5%
27 1
0.5%
33 1
0.5%
35 1
0.5%
38 1
0.5%
39 1
0.5%
46 2
1.0%
50 1
0.5%
56 1
0.5%
87 1
0.5%
ValueCountFrequency (%)
1258 1
0.5%
1157 1
0.5%
1116 1
0.5%
1113 1
0.5%
1097 1
0.5%
966 1
0.5%
952 1
0.5%
950 1
0.5%
949 1
0.5%
913 1
0.5%

322
Real number (ℝ)

Distinct180
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541.25126
Minimum1
Maximum1239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:14.265402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile96.9
Q1316.5
median522
Q3760.5
95-th percentile1034.7
Maximum1239
Range1238
Interquartile range (IQR)444

Descriptive statistics

Standard deviation289.31418
Coefficient of variation (CV)0.53452842
Kurtosis-0.72292039
Mean541.25126
Median Absolute Deviation (MAD)226
Skewness0.31004282
Sum107709
Variance83702.694
MonotonicityNot monotonic
2023-12-10T15:45:14.497069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
361 3
 
1.5%
411 3
 
1.5%
550 2
 
1.0%
556 2
 
1.0%
1007 2
 
1.0%
139 2
 
1.0%
542 2
 
1.0%
540 2
 
1.0%
272 2
 
1.0%
514 2
 
1.0%
Other values (170) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
24 1
0.5%
37 1
0.5%
43 1
0.5%
52 1
0.5%
58 1
0.5%
64 1
0.5%
66 1
0.5%
67 1
0.5%
87 1
0.5%
ValueCountFrequency (%)
1239 1
0.5%
1220 1
0.5%
1169 1
0.5%
1145 1
0.5%
1142 1
0.5%
1098 1
0.5%
1096 1
0.5%
1074 1
0.5%
1062 1
0.5%
1041 1
0.5%

267
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean696.66834
Minimum1
Maximum2029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:14.682451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile128.3
Q1370
median670
Q3881.5
95-th percentile1427.9
Maximum2029
Range2028
Interquartile range (IQR)511.5

Descriptive statistics

Standard deviation404.65696
Coefficient of variation (CV)0.58084591
Kurtosis0.94460943
Mean696.66834
Median Absolute Deviation (MAD)291
Skewness0.87051475
Sum138637
Variance163747.25
MonotonicityNot monotonic
2023-12-10T15:45:14.899462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
363 3
 
1.5%
1040 3
 
1.5%
346 2
 
1.0%
647 2
 
1.0%
788 2
 
1.0%
726 2
 
1.0%
1211 2
 
1.0%
670 2
 
1.0%
268 2
 
1.0%
324 2
 
1.0%
Other values (173) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
20 1
0.5%
43 1
0.5%
50 1
0.5%
69 1
0.5%
77 1
0.5%
85 1
0.5%
97 1
0.5%
99 1
0.5%
122 1
0.5%
ValueCountFrequency (%)
2029 1
0.5%
1955 1
0.5%
1946 1
0.5%
1940 1
0.5%
1799 1
0.5%
1733 1
0.5%
1642 1
0.5%
1609 1
0.5%
1531 1
0.5%
1508 1
0.5%

208.1
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean642.31156
Minimum1
Maximum1907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:15.076074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile107.5
Q1356
median614
Q3811.5
95-th percentile1342.7
Maximum1907
Range1906
Interquartile range (IQR)455.5

Descriptive statistics

Standard deviation374.00955
Coefficient of variation (CV)0.58228682
Kurtosis1.2746878
Mean642.31156
Median Absolute Deviation (MAD)224
Skewness0.99971811
Sum127820
Variance139883.14
MonotonicityNot monotonic
2023-12-10T15:45:15.289360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1060 3
 
1.5%
326 3
 
1.5%
676 2
 
1.0%
750 2
 
1.0%
1056 2
 
1.0%
625 2
 
1.0%
868 2
 
1.0%
352 2
 
1.0%
855 2
 
1.0%
543 2
 
1.0%
Other values (174) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
18 1
0.5%
41 1
0.5%
50 1
0.5%
70 1
0.5%
81 1
0.5%
83 1
0.5%
85 1
0.5%
94 1
0.5%
103 1
0.5%
ValueCountFrequency (%)
1907 1
0.5%
1830 1
0.5%
1814 1
0.5%
1804 1
0.5%
1695 1
0.5%
1548 1
0.5%
1541 1
0.5%
1535 1
0.5%
1495 1
0.5%
1475 1
0.5%

243
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean712.52261
Minimum1
Maximum1835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:15.516252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile120.9
Q1454.5
median672
Q3919
95-th percentile1472.3
Maximum1835
Range1834
Interquartile range (IQR)464.5

Descriptive statistics

Standard deviation383.28264
Coefficient of variation (CV)0.53792348
Kurtosis0.21251154
Mean712.52261
Median Absolute Deviation (MAD)235
Skewness0.6651311
Sum141792
Variance146905.58
MonotonicityNot monotonic
2023-12-10T15:45:15.722424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
940 3
 
1.5%
500 2
 
1.0%
655 2
 
1.0%
456 2
 
1.0%
690 2
 
1.0%
708 2
 
1.0%
335 2
 
1.0%
776 2
 
1.0%
340 2
 
1.0%
482 2
 
1.0%
Other values (174) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
30 1
0.5%
46 1
0.5%
73 2
1.0%
74 1
0.5%
101 1
0.5%
109 1
0.5%
110 1
0.5%
120 1
0.5%
121 1
0.5%
ValueCountFrequency (%)
1835 1
0.5%
1796 1
0.5%
1719 1
0.5%
1676 1
0.5%
1655 1
0.5%
1598 1
0.5%
1551 1
0.5%
1542 1
0.5%
1522 1
0.5%
1493 1
0.5%

407
Real number (ℝ)

Distinct181
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean665.02513
Minimum1
Maximum1693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:15.912205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile155.1
Q1407
median630
Q3875
95-th percentile1323.8
Maximum1693
Range1692
Interquartile range (IQR)468

Descriptive statistics

Standard deviation359.95002
Coefficient of variation (CV)0.54125777
Kurtosis0.01083375
Mean665.02513
Median Absolute Deviation (MAD)230
Skewness0.57559135
Sum132340
Variance129564.01
MonotonicityNot monotonic
2023-12-10T15:45:16.098219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
651 3
 
1.5%
407 3
 
1.5%
496 2
 
1.0%
354 2
 
1.0%
682 2
 
1.0%
611 2
 
1.0%
794 2
 
1.0%
542 2
 
1.0%
1228 2
 
1.0%
202 2
 
1.0%
Other values (171) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
35 1
0.5%
46 1
0.5%
62 1
0.5%
64 1
0.5%
65 1
0.5%
84 1
0.5%
85 1
0.5%
90 1
0.5%
102 1
0.5%
ValueCountFrequency (%)
1693 1
0.5%
1629 1
0.5%
1617 1
0.5%
1596 1
0.5%
1490 1
0.5%
1456 1
0.5%
1455 1
0.5%
1454 1
0.5%
1392 1
0.5%
1358 1
0.5%

614
Real number (ℝ)

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean750.71357
Minimum1
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:16.324210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile142
Q1438
median723
Q3995
95-th percentile1472.8
Maximum2015
Range2014
Interquartile range (IQR)557

Descriptive statistics

Standard deviation410.15756
Coefficient of variation (CV)0.54635693
Kurtosis0.029881791
Mean750.71357
Median Absolute Deviation (MAD)282
Skewness0.52731933
Sum149392
Variance168229.23
MonotonicityNot monotonic
2023-12-10T15:45:16.517291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1092 2
 
1.0%
634 2
 
1.0%
723 2
 
1.0%
779 2
 
1.0%
383 2
 
1.0%
1296 2
 
1.0%
888 2
 
1.0%
545 1
 
0.5%
762 1
 
0.5%
846 1
 
0.5%
Other values (182) 182
91.5%
ValueCountFrequency (%)
1 1
0.5%
39 1
0.5%
55 1
0.5%
56 1
0.5%
75 1
0.5%
76 1
0.5%
77 1
0.5%
80 1
0.5%
87 1
0.5%
106 1
0.5%
ValueCountFrequency (%)
2015 1
0.5%
1826 1
0.5%
1801 1
0.5%
1791 1
0.5%
1769 1
0.5%
1768 1
0.5%
1627 1
0.5%
1544 1
0.5%
1504 1
0.5%
1498 1
0.5%

3.26
Real number (ℝ)

Distinct71
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.748744
Minimum0
Maximum335
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:17.212125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q112
median20
Q336.5
95-th percentile78.3
Maximum335
Range335
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation33.650869
Coefficient of variation (CV)1.1311694
Kurtosis36.186717
Mean29.748744
Median Absolute Deviation (MAD)10
Skewness4.8662397
Sum5920
Variance1132.381
MonotonicityNot monotonic
2023-12-10T15:45:17.417834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 11
 
5.5%
13 10
 
5.0%
12 10
 
5.0%
8 9
 
4.5%
16 8
 
4.0%
10 8
 
4.0%
20 7
 
3.5%
17 7
 
3.5%
23 7
 
3.5%
18 6
 
3.0%
Other values (61) 116
58.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 2
 
1.0%
4 2
 
1.0%
6 3
 
1.5%
7 3
 
1.5%
8 9
4.5%
9 11
5.5%
10 8
4.0%
11 5
2.5%
12 10
5.0%
ValueCountFrequency (%)
335 1
0.5%
180 1
0.5%
157 1
0.5%
117 1
0.5%
113 1
0.5%
93 1
0.5%
91 1
0.5%
89 1
0.5%
83 1
0.5%
81 1
0.5%

433
Real number (ℝ)

Distinct179
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean673.14573
Minimum1
Maximum1507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:17.602831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile122.5
Q1393.5
median629
Q3965
95-th percentile1306
Maximum1507
Range1506
Interquartile range (IQR)571.5

Descriptive statistics

Standard deviation361.17823
Coefficient of variation (CV)0.5365528
Kurtosis-0.86889363
Mean673.14573
Median Absolute Deviation (MAD)281
Skewness0.28649036
Sum133956
Variance130449.71
MonotonicityNot monotonic
2023-12-10T15:45:17.821302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335 3
 
1.5%
998 2
 
1.0%
476 2
 
1.0%
380 2
 
1.0%
80 2
 
1.0%
601 2
 
1.0%
805 2
 
1.0%
166 2
 
1.0%
719 2
 
1.0%
1083 2
 
1.0%
Other values (169) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
29 1
0.5%
48 1
0.5%
57 1
0.5%
66 1
0.5%
80 2
1.0%
82 1
0.5%
89 1
0.5%
109 1
0.5%
124 1
0.5%
ValueCountFrequency (%)
1507 1
0.5%
1455 1
0.5%
1387 1
0.5%
1360 1
0.5%
1359 1
0.5%
1347 1
0.5%
1336 1
0.5%
1331 1
0.5%
1329 1
0.5%
1306 2
1.0%

326
Real number (ℝ)

Distinct184
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean673.14573
Minimum1
Maximum1710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:18.009580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile127.6
Q1357
median595
Q3977
95-th percentile1339.7
Maximum1710
Range1709
Interquartile range (IQR)620

Descriptive statistics

Standard deviation389.66628
Coefficient of variation (CV)0.57887359
Kurtosis-0.56034353
Mean673.14573
Median Absolute Deviation (MAD)276
Skewness0.53301242
Sum133956
Variance151839.81
MonotonicityNot monotonic
2023-12-10T15:45:18.215636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
435 3
 
1.5%
304 2
 
1.0%
710 2
 
1.0%
481 2
 
1.0%
373 2
 
1.0%
1311 2
 
1.0%
501 2
 
1.0%
356 2
 
1.0%
668 2
 
1.0%
541 2
 
1.0%
Other values (174) 178
89.4%
ValueCountFrequency (%)
1 1
0.5%
26 1
0.5%
49 1
0.5%
57 1
0.5%
68 1
0.5%
94 1
0.5%
95 1
0.5%
96 1
0.5%
107 1
0.5%
124 1
0.5%
ValueCountFrequency (%)
1710 1
0.5%
1664 1
0.5%
1634 1
0.5%
1549 1
0.5%
1503 1
0.5%
1483 1
0.5%
1468 1
0.5%
1450 1
0.5%
1449 1
0.5%
1427 1
0.5%

270
Real number (ℝ)

Distinct183
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean630.21106
Minimum1
Maximum1692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:18.407677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile124.8
Q1344.5
median571
Q3889
95-th percentile1313.8
Maximum1692
Range1691
Interquartile range (IQR)544.5

Descriptive statistics

Standard deviation371.51193
Coefficient of variation (CV)0.58950399
Kurtosis-0.23805621
Mean630.21106
Median Absolute Deviation (MAD)257
Skewness0.66495223
Sum125412
Variance138021.12
MonotonicityNot monotonic
2023-12-10T15:45:18.616280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
350 2
 
1.0%
389 2
 
1.0%
493 2
 
1.0%
392 2
 
1.0%
611 2
 
1.0%
348 2
 
1.0%
421 2
 
1.0%
601 2
 
1.0%
438 2
 
1.0%
413 2
 
1.0%
Other values (173) 179
89.9%
ValueCountFrequency (%)
1 1
0.5%
23 1
0.5%
47 1
0.5%
58 1
0.5%
65 1
0.5%
99 1
0.5%
101 1
0.5%
107 1
0.5%
122 1
0.5%
123 1
0.5%
ValueCountFrequency (%)
1692 1
0.5%
1606 1
0.5%
1604 1
0.5%
1521 1
0.5%
1493 1
0.5%
1489 1
0.5%
1452 1
0.5%
1421 1
0.5%
1405 1
0.5%
1375 1
0.5%

193.1
Real number (ℝ)

Distinct179
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean453.57286
Minimum1
Maximum1146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:18.841729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile79.8
Q1254.5
median393
Q3666
95-th percentile945.9
Maximum1146
Range1145
Interquartile range (IQR)411.5

Descriptive statistics

Standard deviation261.35562
Coefficient of variation (CV)0.5762153
Kurtosis-0.34730596
Mean453.57286
Median Absolute Deviation (MAD)165
Skewness0.58734243
Sum90261
Variance68306.761
MonotonicityNot monotonic
2023-12-10T15:45:19.019318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260 4
 
2.0%
250 3
 
1.5%
344 2
 
1.0%
756 2
 
1.0%
258 2
 
1.0%
355 2
 
1.0%
707 2
 
1.0%
728 2
 
1.0%
378 2
 
1.0%
429 2
 
1.0%
Other values (169) 176
88.4%
ValueCountFrequency (%)
1 1
0.5%
15 1
0.5%
31 1
0.5%
42 1
0.5%
43 1
0.5%
64 1
0.5%
66 1
0.5%
74 1
0.5%
78 2
1.0%
80 1
0.5%
ValueCountFrequency (%)
1146 1
0.5%
1145 1
0.5%
1134 1
0.5%
1072 1
0.5%
1043 1
0.5%
1028 1
0.5%
987 2
1.0%
982 1
0.5%
972 1
0.5%
943 1
0.5%

147
Real number (ℝ)

Distinct167
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean363.04523
Minimum1
Maximum831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:19.236319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59
Q1207
median319
Q3539
95-th percentile742.7
Maximum831
Range830
Interquartile range (IQR)332

Descriptive statistics

Standard deviation208.27607
Coefficient of variation (CV)0.57369181
Kurtosis-0.71364516
Mean363.04523
Median Absolute Deviation (MAD)138
Skewness0.4911042
Sum72246
Variance43378.922
MonotonicityNot monotonic
2023-12-10T15:45:19.422171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
311 4
 
2.0%
193 3
 
1.5%
553 3
 
1.5%
539 3
 
1.5%
324 3
 
1.5%
296 3
 
1.5%
188 3
 
1.5%
260 3
 
1.5%
163 2
 
1.0%
58 2
 
1.0%
Other values (157) 170
85.4%
ValueCountFrequency (%)
1 1
0.5%
12 1
0.5%
23 1
0.5%
31 1
0.5%
32 1
0.5%
56 1
0.5%
57 1
0.5%
58 2
1.0%
59 2
1.0%
67 1
0.5%
ValueCountFrequency (%)
831 1
0.5%
827 1
0.5%
826 1
0.5%
824 1
0.5%
812 1
0.5%
777 1
0.5%
752 1
0.5%
751 1
0.5%
750 1
0.5%
749 1
0.5%

71
Real number (ℝ)

Distinct168
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267.01005
Minimum1
Maximum727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:19.589166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile46.9
Q1137
median214
Q3411
95-th percentile560.8
Maximum727
Range726
Interquartile range (IQR)274

Descriptive statistics

Standard deviation169.88487
Coefficient of variation (CV)0.63624897
Kurtosis-0.61966124
Mean267.01005
Median Absolute Deviation (MAD)101
Skewness0.65977177
Sum53135
Variance28860.869
MonotonicityNot monotonic
2023-12-10T15:45:19.753153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
185 3
 
1.5%
120 3
 
1.5%
47 3
 
1.5%
140 2
 
1.0%
183 2
 
1.0%
41 2
 
1.0%
108 2
 
1.0%
155 2
 
1.0%
112 2
 
1.0%
446 2
 
1.0%
Other values (158) 176
88.4%
ValueCountFrequency (%)
1 1
 
0.5%
8 1
 
0.5%
18 1
 
0.5%
20 1
 
0.5%
25 1
 
0.5%
36 1
 
0.5%
39 1
 
0.5%
41 2
1.0%
46 1
 
0.5%
47 3
1.5%
ValueCountFrequency (%)
727 1
0.5%
683 1
0.5%
653 1
0.5%
651 1
0.5%
631 1
0.5%
628 1
0.5%
606 1
0.5%
595 1
0.5%
592 1
0.5%
577 1
0.5%

103
Real number (ℝ)

Distinct172
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.04523
Minimum1
Maximum1142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:19.964348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile62.9
Q1170
median255
Q3468
95-th percentile605.1
Maximum1142
Range1141
Interquartile range (IQR)298

Descriptive statistics

Standard deviation183.89543
Coefficient of variation (CV)0.59697542
Kurtosis0.78023933
Mean308.04523
Median Absolute Deviation (MAD)117
Skewness0.78182359
Sum61301
Variance33817.528
MonotonicityNot monotonic
2023-12-10T15:45:20.142853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
458 4
 
2.0%
253 2
 
1.0%
212 2
 
1.0%
248 2
 
1.0%
585 2
 
1.0%
142 2
 
1.0%
71 2
 
1.0%
259 2
 
1.0%
286 2
 
1.0%
171 2
 
1.0%
Other values (162) 177
88.9%
ValueCountFrequency (%)
1 1
0.5%
11 1
0.5%
24 1
0.5%
30 1
0.5%
41 1
0.5%
53 1
0.5%
57 1
0.5%
58 1
0.5%
59 1
0.5%
62 1
0.5%
ValueCountFrequency (%)
1142 1
0.5%
716 1
0.5%
663 1
0.5%
656 1
0.5%
655 1
0.5%
644 1
0.5%
621 1
0.5%
609 2
1.0%
606 1
0.5%
605 1
0.5%

3.27
Real number (ℝ)

Distinct61
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.688442
Minimum0
Maximum143
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:20.343297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.9
Q112
median19
Q331
95-th percentile63.3
Maximum143
Range143
Interquartile range (IQR)19

Descriptive statistics

Standard deviation21.416349
Coefficient of variation (CV)0.83369591
Kurtosis7.7705415
Mean25.688442
Median Absolute Deviation (MAD)8
Skewness2.3582102
Sum5112
Variance458.66002
MonotonicityNot monotonic
2023-12-10T15:45:20.558693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 10
 
5.0%
15 10
 
5.0%
12 10
 
5.0%
10 9
 
4.5%
19 9
 
4.5%
22 8
 
4.0%
13 8
 
4.0%
9 8
 
4.0%
7 7
 
3.5%
11 6
 
3.0%
Other values (51) 114
57.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 4
 
2.0%
5 3
 
1.5%
6 2
 
1.0%
7 7
3.5%
8 3
 
1.5%
9 8
4.0%
10 9
4.5%
11 6
3.0%
12 10
5.0%
ValueCountFrequency (%)
143 1
0.5%
131 1
0.5%
111 1
0.5%
87 1
0.5%
82 1
0.5%
77 2
1.0%
76 1
0.5%
67 1
0.5%
66 1
0.5%
63 1
0.5%

8.9
Real number (ℝ)

Distinct68
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.899497
Minimum0
Maximum266
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:20.876159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.9
Q113
median21
Q339
95-th percentile74.1
Maximum266
Range266
Interquartile range (IQR)26

Descriptive statistics

Standard deviation30.205859
Coefficient of variation (CV)0.97755177
Kurtosis21.619641
Mean30.899497
Median Absolute Deviation (MAD)10
Skewness3.7406997
Sum6149
Variance912.39389
MonotonicityNot monotonic
2023-12-10T15:45:21.101366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 11
 
5.5%
17 11
 
5.5%
11 10
 
5.0%
19 9
 
4.5%
9 8
 
4.0%
14 7
 
3.5%
16 7
 
3.5%
15 7
 
3.5%
13 7
 
3.5%
28 6
 
3.0%
Other values (58) 116
58.3%
ValueCountFrequency (%)
0 1
 
0.5%
3 1
 
0.5%
4 2
 
1.0%
5 1
 
0.5%
6 3
 
1.5%
7 2
 
1.0%
8 2
 
1.0%
9 8
4.0%
10 11
5.5%
11 10
5.0%
ValueCountFrequency (%)
266 1
0.5%
181 1
0.5%
139 1
0.5%
131 1
0.5%
111 1
0.5%
110 1
0.5%
84 2
1.0%
83 1
0.5%
75 1
0.5%
74 1
0.5%

165.1
Real number (ℝ)

Distinct110
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.21608
Minimum12
Maximum255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:21.314914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile18
Q138
median59
Q385
95-th percentile169
Maximum255
Range243
Interquartile range (IQR)47

Descriptive statistics

Standard deviation46.673252
Coefficient of variation (CV)0.66470888
Kurtosis1.9337509
Mean70.21608
Median Absolute Deviation (MAD)23
Skewness1.4324424
Sum13973
Variance2178.3925
MonotonicityNot monotonic
2023-12-10T15:45:21.523978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51 6
 
3.0%
35 5
 
2.5%
15 5
 
2.5%
67 4
 
2.0%
44 4
 
2.0%
39 4
 
2.0%
38 4
 
2.0%
50 4
 
2.0%
55 4
 
2.0%
70 3
 
1.5%
Other values (100) 156
78.4%
ValueCountFrequency (%)
12 1
 
0.5%
14 1
 
0.5%
15 5
2.5%
16 1
 
0.5%
17 1
 
0.5%
18 3
1.5%
19 3
1.5%
21 3
1.5%
22 1
 
0.5%
24 1
 
0.5%
ValueCountFrequency (%)
255 1
0.5%
234 1
0.5%
205 1
0.5%
204 1
0.5%
196 1
0.5%
187 1
0.5%
183 1
0.5%
176 1
0.5%
173 1
0.5%
169 2
1.0%

5.18
Real number (ℝ)

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.316583
Minimum0
Maximum186
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:21.738151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median20
Q330.5
95-th percentile50
Maximum186
Range186
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation20.206392
Coefficient of variation (CV)0.83097167
Kurtosis22.963196
Mean24.316583
Median Absolute Deviation (MAD)9
Skewness3.746127
Sum4839
Variance408.29826
MonotonicityNot monotonic
2023-12-10T15:45:21.901340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 12
 
6.0%
11 12
 
6.0%
21 11
 
5.5%
20 8
 
4.0%
9 8
 
4.0%
10 8
 
4.0%
19 8
 
4.0%
14 7
 
3.5%
27 6
 
3.0%
16 6
 
3.0%
Other values (46) 113
56.8%
ValueCountFrequency (%)
0 1
 
0.5%
3 1
 
0.5%
4 4
 
2.0%
5 2
 
1.0%
6 3
 
1.5%
7 3
 
1.5%
8 4
 
2.0%
9 8
4.0%
10 8
4.0%
11 12
6.0%
ValueCountFrequency (%)
186 1
0.5%
114 1
0.5%
100 1
0.5%
99 1
0.5%
71 1
0.5%
65 2
1.0%
61 1
0.5%
53 1
0.5%
50 2
1.0%
49 1
0.5%

3.28
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.231156
Minimum0
Maximum107
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:22.106101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.9
Q112
median23
Q333.5
95-th percentile60.1
Maximum107
Range107
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation17.692857
Coefficient of variation (CV)0.70123056
Kurtosis3.2746104
Mean25.231156
Median Absolute Deviation (MAD)11
Skewness1.4786721
Sum5021
Variance313.03721
MonotonicityNot monotonic
2023-12-10T15:45:22.310000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 9
 
4.5%
27 8
 
4.0%
28 7
 
3.5%
24 7
 
3.5%
3 6
 
3.0%
22 6
 
3.0%
16 6
 
3.0%
12 6
 
3.0%
20 6
 
3.0%
23 5
 
2.5%
Other values (49) 133
66.8%
ValueCountFrequency (%)
0 1
 
0.5%
2 3
 
1.5%
3 6
3.0%
4 4
2.0%
5 1
 
0.5%
6 4
2.0%
7 9
4.5%
8 5
2.5%
9 4
2.0%
10 4
2.0%
ValueCountFrequency (%)
107 1
0.5%
90 1
0.5%
84 1
0.5%
78 1
0.5%
77 1
0.5%
72 1
0.5%
67 2
1.0%
66 1
0.5%
61 1
0.5%
60 2
1.0%

110.1
Real number (ℝ)

Distinct116
Distinct (%)58.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.743719
Minimum0
Maximum446
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:22.514524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile24
Q143
median65
Q3107.5
95-th percentile210.5
Maximum446
Range446
Interquartile range (IQR)64.5

Descriptive statistics

Standard deviation66.360963
Coefficient of variation (CV)0.77394548
Kurtosis8.2261489
Mean85.743719
Median Absolute Deviation (MAD)30
Skewness2.3256778
Sum17063
Variance4403.7774
MonotonicityNot monotonic
2023-12-10T15:45:22.707609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 8
 
4.0%
47 6
 
3.0%
43 6
 
3.0%
53 5
 
2.5%
34 5
 
2.5%
33 5
 
2.5%
38 4
 
2.0%
78 3
 
1.5%
54 3
 
1.5%
139 3
 
1.5%
Other values (106) 151
75.9%
ValueCountFrequency (%)
0 1
0.5%
2 1
0.5%
4 1
0.5%
13 2
1.0%
19 2
1.0%
20 1
0.5%
22 1
0.5%
24 2
1.0%
25 2
1.0%
26 1
0.5%
ValueCountFrequency (%)
446 2
1.0%
278 2
1.0%
264 1
0.5%
252 1
0.5%
247 1
0.5%
235 1
0.5%
220 1
0.5%
215 1
0.5%
210 1
0.5%
209 1
0.5%

185.1
Real number (ℝ)

Distinct120
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean101.90955
Minimum0
Maximum525
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:22.927395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile26
Q147
median70
Q3130.5
95-th percentile240.9
Maximum525
Range525
Interquartile range (IQR)83.5

Descriptive statistics

Standard deviation88.993314
Coefficient of variation (CV)0.87325787
Kurtosis7.6932519
Mean101.90955
Median Absolute Deviation (MAD)33
Skewness2.48237
Sum20280
Variance7919.81
MonotonicityNot monotonic
2023-12-10T15:45:23.583134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 5
 
2.5%
59 5
 
2.5%
63 4
 
2.0%
68 4
 
2.0%
40 4
 
2.0%
54 4
 
2.0%
65 3
 
1.5%
47 3
 
1.5%
80 3
 
1.5%
61 3
 
1.5%
Other values (110) 161
80.9%
ValueCountFrequency (%)
0 1
0.5%
2 1
0.5%
5 1
0.5%
13 1
0.5%
14 1
0.5%
22 1
0.5%
23 1
0.5%
25 2
1.0%
26 2
1.0%
27 1
0.5%
ValueCountFrequency (%)
525 1
0.5%
505 1
0.5%
489 1
0.5%
476 1
0.5%
440 1
0.5%
375 1
0.5%
324 1
0.5%
322 1
0.5%
261 1
0.5%
249 1
0.5%

20.10
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.949749
Minimum0
Maximum102
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:23.774535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q326
95-th percentile58
Maximum102
Range102
Interquartile range (IQR)18

Descriptive statistics

Standard deviation19.531831
Coefficient of variation (CV)0.97905146
Kurtosis4.4464793
Mean19.949749
Median Absolute Deviation (MAD)6
Skewness2.043947
Sum3970
Variance381.49241
MonotonicityNot monotonic
2023-12-10T15:45:23.979467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 17
 
8.5%
6 12
 
6.0%
9 12
 
6.0%
8 12
 
6.0%
5 11
 
5.5%
11 10
 
5.0%
12 9
 
4.5%
7 9
 
4.5%
17 8
 
4.0%
15 8
 
4.0%
Other values (46) 91
45.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 8
4.0%
5 11
5.5%
6 12
6.0%
7 9
4.5%
8 12
6.0%
9 12
6.0%
ValueCountFrequency (%)
102 2
1.0%
95 1
0.5%
86 1
0.5%
82 1
0.5%
81 1
0.5%
73 1
0.5%
71 1
0.5%
67 1
0.5%
58 2
1.0%
57 1
0.5%

26.4
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.070352
Minimum0
Maximum110
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:24.189024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q18
median12
Q324
95-th percentile47.5
Maximum110
Range110
Interquartile range (IQR)16

Descriptive statistics

Standard deviation15.8058
Coefficient of variation (CV)0.87468136
Kurtosis8.4599838
Mean18.070352
Median Absolute Deviation (MAD)6
Skewness2.3965251
Sum3596
Variance249.82331
MonotonicityNot monotonic
2023-12-10T15:45:24.390607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 16
 
8.0%
5 12
 
6.0%
7 12
 
6.0%
12 11
 
5.5%
11 11
 
5.5%
6 11
 
5.5%
8 9
 
4.5%
10 9
 
4.5%
13 7
 
3.5%
25 7
 
3.5%
Other values (40) 94
47.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 2
 
1.0%
3 1
 
0.5%
4 4
 
2.0%
5 12
6.0%
6 11
5.5%
7 12
6.0%
8 9
4.5%
9 16
8.0%
ValueCountFrequency (%)
110 1
0.5%
97 1
0.5%
68 1
0.5%
62 1
0.5%
59 1
0.5%
56 2
1.0%
55 1
0.5%
54 1
0.5%
52 1
0.5%
47 1
0.5%

35.4
Real number (ℝ)

Distinct53
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.050251
Minimum0
Maximum128
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:24.599485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median13
Q327
95-th percentile49.3
Maximum128
Range128
Interquartile range (IQR)18

Descriptive statistics

Standard deviation18.665787
Coefficient of variation (CV)0.93095028
Kurtosis12.029272
Mean20.050251
Median Absolute Deviation (MAD)6
Skewness2.9141405
Sum3990
Variance348.4116
MonotonicityNot monotonic
2023-12-10T15:45:24.833802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 17
 
8.5%
9 12
 
6.0%
6 12
 
6.0%
8 11
 
5.5%
13 10
 
5.0%
10 9
 
4.5%
7 8
 
4.0%
12 8
 
4.0%
15 7
 
3.5%
5 6
 
3.0%
Other values (43) 99
49.7%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 2
 
1.0%
4 4
 
2.0%
5 6
3.0%
6 12
6.0%
7 8
4.0%
8 11
5.5%
9 12
6.0%
10 9
4.5%
ValueCountFrequency (%)
128 1
0.5%
127 1
0.5%
101 1
0.5%
82 1
0.5%
73 1
0.5%
65 1
0.5%
62 1
0.5%
60 1
0.5%
57 1
0.5%
52 1
0.5%

21.6
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.834171
Minimum0
Maximum112
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:25.060338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median12
Q319
95-th percentile32.2
Maximum112
Range112
Interquartile range (IQR)12

Descriptive statistics

Standard deviation13.033277
Coefficient of variation (CV)0.87859826
Kurtosis21.280973
Mean14.834171
Median Absolute Deviation (MAD)5
Skewness3.7621663
Sum2952
Variance169.8663
MonotonicityNot monotonic
2023-12-10T15:45:25.274593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 17
 
8.5%
8 14
 
7.0%
7 14
 
7.0%
12 14
 
7.0%
10 13
 
6.5%
11 10
 
5.0%
14 10
 
5.0%
15 9
 
4.5%
9 8
 
4.0%
21 7
 
3.5%
Other values (32) 83
41.7%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 1
 
0.5%
3 4
 
2.0%
4 7
3.5%
5 7
3.5%
6 17
8.5%
7 14
7.0%
8 14
7.0%
9 8
4.0%
ValueCountFrequency (%)
112 1
0.5%
87 1
0.5%
76 1
0.5%
49 1
0.5%
42 1
0.5%
41 1
0.5%
39 1
0.5%
36 1
0.5%
35 1
0.5%
34 1
0.5%

8.10
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.592965
Minimum0
Maximum51
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:25.480515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median11
Q316
95-th percentile32
Maximum51
Range51
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.0297013
Coefficient of variation (CV)0.71704332
Kurtosis2.7554498
Mean12.592965
Median Absolute Deviation (MAD)5
Skewness1.494664
Sum2506
Variance81.535506
MonotonicityNot monotonic
2023-12-10T15:45:25.687985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
7 14
 
7.0%
4 13
 
6.5%
11 13
 
6.5%
9 11
 
5.5%
10 11
 
5.5%
12 11
 
5.5%
6 10
 
5.0%
15 10
 
5.0%
8 9
 
4.5%
5 8
 
4.0%
Other values (24) 89
44.7%
ValueCountFrequency (%)
0 3
 
1.5%
1 1
 
0.5%
2 8
4.0%
3 8
4.0%
4 13
6.5%
5 8
4.0%
6 10
5.0%
7 14
7.0%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
51 1
 
0.5%
45 1
 
0.5%
44 1
 
0.5%
38 2
 
1.0%
37 1
 
0.5%
34 2
 
1.0%
32 5
2.5%
30 1
 
0.5%
29 3
1.5%
24 3
1.5%

41.1
Real number (ℝ)

Distinct73
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.613065
Minimum0
Maximum290
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:25.931814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q18.5
median14
Q336
95-th percentile110
Maximum290
Range290
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation38.879587
Coefficient of variation (CV)1.2700325
Kurtosis12.172774
Mean30.613065
Median Absolute Deviation (MAD)8
Skewness2.9667177
Sum6092
Variance1511.6223
MonotonicityNot monotonic
2023-12-10T15:45:26.150769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 13
 
6.5%
10 12
 
6.0%
12 11
 
5.5%
7 9
 
4.5%
6 9
 
4.5%
8 9
 
4.5%
13 8
 
4.0%
11 7
 
3.5%
14 7
 
3.5%
9 7
 
3.5%
Other values (63) 107
53.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 1
 
0.5%
3 2
 
1.0%
4 4
 
2.0%
5 13
6.5%
6 9
4.5%
7 9
4.5%
8 9
4.5%
9 7
3.5%
ValueCountFrequency (%)
290 1
0.5%
187 1
0.5%
183 1
0.5%
152 1
0.5%
148 1
0.5%
136 1
0.5%
134 1
0.5%
121 1
0.5%
120 1
0.5%
119 1
0.5%

36.4
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.844221
Minimum2
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:26.375829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.9
Q17
median11
Q316.5
95-th percentile32.3
Maximum64
Range62
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation9.3463575
Coefficient of variation (CV)0.67510894
Kurtosis4.8766883
Mean13.844221
Median Absolute Deviation (MAD)5
Skewness1.8853967
Sum2755
Variance87.354398
MonotonicityNot monotonic
2023-12-10T15:45:26.594961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 18
 
9.0%
11 16
 
8.0%
10 13
 
6.5%
16 12
 
6.0%
12 12
 
6.0%
7 12
 
6.0%
8 12
 
6.0%
9 11
 
5.5%
5 11
 
5.5%
13 9
 
4.5%
Other values (27) 73
36.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 3
 
1.5%
4 6
 
3.0%
5 11
5.5%
6 18
9.0%
7 12
6.0%
8 12
6.0%
9 11
5.5%
10 13
6.5%
11 16
8.0%
ValueCountFrequency (%)
64 1
 
0.5%
46 1
 
0.5%
42 1
 
0.5%
41 2
1.0%
38 2
1.0%
36 1
 
0.5%
35 2
1.0%
32 2
1.0%
31 3
1.5%
30 2
1.0%

28.6
Real number (ℝ)

ZEROS 

Distinct55
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.331658
Minimum0
Maximum120
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:26.798099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median13
Q325
95-th percentile48.2
Maximum120
Range120
Interquartile range (IQR)17

Descriptive statistics

Standard deviation18.117477
Coefficient of variation (CV)0.93719209
Kurtosis8.3522419
Mean19.331658
Median Absolute Deviation (MAD)6
Skewness2.5001336
Sum3847
Variance328.24298
MonotonicityNot monotonic
2023-12-10T15:45:27.022287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 14
 
7.0%
7 13
 
6.5%
9 11
 
5.5%
10 11
 
5.5%
6 10
 
5.0%
8 9
 
4.5%
13 8
 
4.0%
15 8
 
4.0%
5 8
 
4.0%
17 7
 
3.5%
Other values (45) 100
50.3%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 2
 
1.0%
3 2
 
1.0%
4 7
3.5%
5 8
4.0%
6 10
5.0%
7 13
6.5%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
120 1
0.5%
105 1
0.5%
89 1
0.5%
83 1
0.5%
81 1
0.5%
72 1
0.5%
65 1
0.5%
59 1
0.5%
51 1
0.5%
50 1
0.5%

58.4
Real number (ℝ)

Distinct57
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.703518
Minimum0
Maximum245
Zeros1
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:27.259634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median14
Q325.5
95-th percentile57.4
Maximum245
Range245
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation25.23941
Coefficient of variation (CV)1.1629179
Kurtosis32.744577
Mean21.703518
Median Absolute Deviation (MAD)7
Skewness4.6460498
Sum4319
Variance637.02782
MonotonicityNot monotonic
2023-12-10T15:45:27.481908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 16
 
8.0%
6 12
 
6.0%
9 12
 
6.0%
8 11
 
5.5%
5 10
 
5.0%
16 10
 
5.0%
7 8
 
4.0%
13 7
 
3.5%
25 6
 
3.0%
11 6
 
3.0%
Other values (47) 101
50.8%
ValueCountFrequency (%)
0 1
 
0.5%
1 2
 
1.0%
2 2
 
1.0%
3 1
 
0.5%
4 2
 
1.0%
5 10
5.0%
6 12
6.0%
7 8
4.0%
8 11
5.5%
9 12
6.0%
ValueCountFrequency (%)
245 1
0.5%
117 1
0.5%
116 1
0.5%
111 1
0.5%
94 1
0.5%
92 1
0.5%
66 1
0.5%
65 1
0.5%
63 1
0.5%
61 1
0.5%

40.1
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.085427
Minimum0
Maximum147
Zeros2
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:27.673104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.9
Q18
median12
Q319
95-th percentile41.2
Maximum147
Range147
Interquartile range (IQR)11

Descriptive statistics

Standard deviation14.98645
Coefficient of variation (CV)0.93167869
Kurtosis30.922525
Mean16.085427
Median Absolute Deviation (MAD)5
Skewness4.3965442
Sum3201
Variance224.59368
MonotonicityNot monotonic
2023-12-10T15:45:27.852098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
7 17
 
8.5%
12 16
 
8.0%
14 15
 
7.5%
10 12
 
6.0%
9 11
 
5.5%
11 10
 
5.0%
5 10
 
5.0%
6 10
 
5.0%
8 9
 
4.5%
16 7
 
3.5%
Other values (37) 82
41.2%
ValueCountFrequency (%)
0 2
 
1.0%
1 1
 
0.5%
2 1
 
0.5%
3 1
 
0.5%
4 5
 
2.5%
5 10
5.0%
6 10
5.0%
7 17
8.5%
8 9
4.5%
9 11
5.5%
ValueCountFrequency (%)
147 1
0.5%
82 1
0.5%
68 1
0.5%
52 1
0.5%
51 1
0.5%
46 2
1.0%
45 1
0.5%
44 1
0.5%
43 1
0.5%
41 1
0.5%

17.9
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.517588
Minimum0
Maximum63
Zeros3
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:28.021885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q17
median13
Q319.5
95-th percentile36.1
Maximum63
Range63
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation10.689769
Coefficient of variation (CV)0.73633228
Kurtosis2.9291379
Mean14.517588
Median Absolute Deviation (MAD)6
Skewness1.4716587
Sum2889
Variance114.27115
MonotonicityNot monotonic
2023-12-10T15:45:28.251962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
14 14
 
7.0%
4 11
 
5.5%
9 10
 
5.0%
5 10
 
5.0%
8 9
 
4.5%
7 9
 
4.5%
6 9
 
4.5%
15 9
 
4.5%
18 9
 
4.5%
3 8
 
4.0%
Other values (32) 101
50.8%
ValueCountFrequency (%)
0 3
 
1.5%
2 8
4.0%
3 8
4.0%
4 11
5.5%
5 10
5.0%
6 9
4.5%
7 9
4.5%
8 9
4.5%
9 10
5.0%
10 7
3.5%
ValueCountFrequency (%)
63 1
0.5%
53 1
0.5%
49 1
0.5%
46 1
0.5%
45 1
0.5%
42 1
0.5%
40 1
0.5%
39 2
1.0%
37 1
0.5%
36 1
0.5%

114
Real number (ℝ)

Distinct103
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.085427
Minimum14
Maximum241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:28.456531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile22
Q139
median58
Q383.5
95-th percentile149
Maximum241
Range227
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation40.995045
Coefficient of variation (CV)0.60211188
Kurtosis3.0279658
Mean68.085427
Median Absolute Deviation (MAD)21
Skewness1.5650392
Sum13549
Variance1680.5937
MonotonicityNot monotonic
2023-12-10T15:45:28.657104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 6
 
3.0%
57 6
 
3.0%
54 5
 
2.5%
38 4
 
2.0%
36 4
 
2.0%
41 4
 
2.0%
75 4
 
2.0%
55 4
 
2.0%
47 4
 
2.0%
56 4
 
2.0%
Other values (93) 154
77.4%
ValueCountFrequency (%)
14 1
 
0.5%
15 1
 
0.5%
18 2
1.0%
19 2
1.0%
20 1
 
0.5%
21 2
1.0%
22 3
1.5%
23 2
1.0%
24 2
1.0%
25 1
 
0.5%
ValueCountFrequency (%)
241 1
 
0.5%
222 1
 
0.5%
219 1
 
0.5%
204 1
 
0.5%
184 1
 
0.5%
170 1
 
0.5%
163 1
 
0.5%
157 1
 
0.5%
152 1
 
0.5%
149 3
1.5%

156
Real number (ℝ)

Distinct108
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.422111
Minimum12
Maximum276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:28.880238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile20
Q140.5
median63
Q389.5
95-th percentile169.2
Maximum276
Range264
Interquartile range (IQR)49

Descriptive statistics

Standard deviation48.448898
Coefficient of variation (CV)0.65100139
Kurtosis2.6419672
Mean74.422111
Median Absolute Deviation (MAD)25
Skewness1.520345
Sum14810
Variance2347.2957
MonotonicityNot monotonic
2023-12-10T15:45:29.116700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 7
 
3.5%
62 5
 
2.5%
63 5
 
2.5%
38 5
 
2.5%
44 4
 
2.0%
41 4
 
2.0%
67 4
 
2.0%
50 4
 
2.0%
28 4
 
2.0%
51 4
 
2.0%
Other values (98) 153
76.9%
ValueCountFrequency (%)
12 1
 
0.5%
14 1
 
0.5%
15 2
 
1.0%
18 1
 
0.5%
20 7
3.5%
21 2
 
1.0%
22 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
25 4
2.0%
ValueCountFrequency (%)
276 1
0.5%
259 1
0.5%
234 1
0.5%
223 1
0.5%
213 1
0.5%
210 1
0.5%
177 1
0.5%
175 1
0.5%
174 1
0.5%
171 1
0.5%

33.6
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.633166
Minimum3
Maximum66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:29.288717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q318
95-th percentile34
Maximum66
Range63
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.00561
Coefficient of variation (CV)0.68376248
Kurtosis4.5939766
Mean14.633166
Median Absolute Deviation (MAD)5
Skewness1.8665021
Sum2912
Variance100.11223
MonotonicityNot monotonic
2023-12-10T15:45:29.476298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
12 17
 
8.5%
6 16
 
8.0%
11 14
 
7.0%
10 14
 
7.0%
5 11
 
5.5%
7 11
 
5.5%
16 11
 
5.5%
8 10
 
5.0%
9 9
 
4.5%
13 9
 
4.5%
Other values (29) 77
38.7%
ValueCountFrequency (%)
3 4
 
2.0%
4 5
 
2.5%
5 11
5.5%
6 16
8.0%
7 11
5.5%
8 10
5.0%
9 9
4.5%
10 14
7.0%
11 14
7.0%
12 17
8.5%
ValueCountFrequency (%)
66 1
0.5%
51 1
0.5%
50 1
0.5%
43 1
0.5%
42 2
1.0%
40 1
0.5%
39 1
0.5%
38 1
0.5%
34 2
1.0%
33 2
1.0%

26.5
Real number (ℝ)

Distinct37
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.979899
Minimum3
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:29.629244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q316
95-th percentile34
Maximum67
Range64
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.3867303
Coefficient of variation (CV)0.67144476
Kurtosis5.9090906
Mean13.979899
Median Absolute Deviation (MAD)4
Skewness2.020599
Sum2782
Variance88.110705
MonotonicityNot monotonic
2023-12-10T15:45:30.229298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
6 20
 
10.1%
8 18
 
9.0%
14 13
 
6.5%
9 13
 
6.5%
16 12
 
6.0%
12 12
 
6.0%
10 10
 
5.0%
15 10
 
5.0%
5 10
 
5.0%
13 10
 
5.0%
Other values (27) 71
35.7%
ValueCountFrequency (%)
3 1
 
0.5%
4 8
 
4.0%
5 10
5.0%
6 20
10.1%
7 7
 
3.5%
8 18
9.0%
9 13
6.5%
10 10
5.0%
11 8
 
4.0%
12 12
6.0%
ValueCountFrequency (%)
67 1
 
0.5%
47 1
 
0.5%
43 2
1.0%
41 1
 
0.5%
38 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
34 3
1.5%
33 1
 
0.5%
32 2
1.0%

33.7
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.984925
Minimum3
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:30.396149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18.5
median12
Q318.5
95-th percentile35.3
Maximum49
Range46
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.4358426
Coefficient of variation (CV)0.62968903
Kurtosis1.9867012
Mean14.984925
Median Absolute Deviation (MAD)5
Skewness1.4623733
Sum2982
Variance89.035125
MonotonicityNot monotonic
2023-12-10T15:45:30.584346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 18
 
9.0%
9 16
 
8.0%
11 14
 
7.0%
12 12
 
6.0%
10 11
 
5.5%
16 10
 
5.0%
8 9
 
4.5%
15 9
 
4.5%
17 8
 
4.0%
14 8
 
4.0%
Other values (29) 84
42.2%
ValueCountFrequency (%)
3 2
 
1.0%
4 6
 
3.0%
5 7
 
3.5%
6 8
4.0%
7 18
9.0%
8 9
4.5%
9 16
8.0%
10 11
5.5%
11 14
7.0%
12 12
6.0%
ValueCountFrequency (%)
49 1
 
0.5%
48 1
 
0.5%
45 1
 
0.5%
43 2
1.0%
41 1
 
0.5%
40 1
 
0.5%
38 3
1.5%
35 1
 
0.5%
34 1
 
0.5%
33 2
1.0%

17.10
Real number (ℝ)

Distinct31
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.839196
Minimum2
Maximum42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:30.745301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median10
Q315
95-th percentile28
Maximum42
Range40
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.6557413
Coefficient of variation (CV)0.64664369
Kurtosis2.2482412
Mean11.839196
Median Absolute Deviation (MAD)4
Skewness1.4373157
Sum2356
Variance58.610375
MonotonicityNot monotonic
2023-12-10T15:45:30.925114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
7 20
 
10.1%
8 17
 
8.5%
4 16
 
8.0%
13 13
 
6.5%
6 13
 
6.5%
11 13
 
6.5%
9 11
 
5.5%
5 11
 
5.5%
12 9
 
4.5%
14 9
 
4.5%
Other values (21) 67
33.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 6
 
3.0%
4 16
8.0%
5 11
5.5%
6 13
6.5%
7 20
10.1%
8 17
8.5%
9 11
5.5%
10 7
 
3.5%
11 13
6.5%
ValueCountFrequency (%)
42 1
 
0.5%
41 1
 
0.5%
38 1
 
0.5%
33 2
1.0%
30 3
1.5%
28 4
2.0%
26 2
1.0%
25 1
 
0.5%
24 2
1.0%
23 4
2.0%

28.7
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.20603
Minimum2
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:31.083029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q315
95-th percentile33
Maximum62
Range60
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.2917235
Coefficient of variation (CV)0.70359702
Kurtosis5.4458803
Mean13.20603
Median Absolute Deviation (MAD)4
Skewness2.0460838
Sum2628
Variance86.336125
MonotonicityNot monotonic
2023-12-10T15:45:31.267620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 18
 
9.0%
8 17
 
8.5%
11 13
 
6.5%
4 12
 
6.0%
9 12
 
6.0%
5 12
 
6.0%
12 12
 
6.0%
13 11
 
5.5%
10 11
 
5.5%
14 11
 
5.5%
Other values (24) 70
35.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 12
6.0%
5 12
6.0%
6 18
9.0%
7 9
4.5%
8 17
8.5%
9 12
6.0%
10 11
5.5%
11 13
6.5%
ValueCountFrequency (%)
62 1
 
0.5%
48 2
1.0%
42 2
1.0%
35 2
1.0%
34 2
1.0%
33 2
1.0%
32 2
1.0%
31 1
 
0.5%
30 2
1.0%
28 3
1.5%

5.19
Real number (ℝ)

Distinct40
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.311558
Minimum1
Maximum62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:31.465933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.9
Q13
median10
Q317
95-th percentile33.1
Maximum62
Range61
Interquartile range (IQR)14

Descriptive statistics

Standard deviation10.864334
Coefficient of variation (CV)0.88244999
Kurtosis3.303097
Mean12.311558
Median Absolute Deviation (MAD)7
Skewness1.5588387
Sum2450
Variance118.03375
MonotonicityNot monotonic
2023-12-10T15:45:31.749505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2 30
 
15.1%
3 11
 
5.5%
17 10
 
5.0%
5 10
 
5.0%
12 10
 
5.0%
1 10
 
5.0%
4 10
 
5.0%
14 9
 
4.5%
8 7
 
3.5%
19 7
 
3.5%
Other values (30) 85
42.7%
ValueCountFrequency (%)
1 10
 
5.0%
2 30
15.1%
3 11
 
5.5%
4 10
 
5.0%
5 10
 
5.0%
6 7
 
3.5%
7 6
 
3.0%
8 7
 
3.5%
9 4
 
2.0%
10 6
 
3.0%
ValueCountFrequency (%)
62 1
0.5%
54 1
0.5%
52 1
0.5%
45 1
0.5%
42 1
0.5%
39 1
0.5%
36 2
1.0%
35 1
0.5%
34 1
0.5%
33 2
1.0%

65
Real number (ℝ)

Distinct51
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.351759
Minimum4
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:32.050013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q19
median14
Q325
95-th percentile57.5
Maximum102
Range98
Interquartile range (IQR)16

Descriptive statistics

Standard deviation17.852846
Coefficient of variation (CV)0.87721394
Kurtosis5.6480388
Mean20.351759
Median Absolute Deviation (MAD)6
Skewness2.2112169
Sum4050
Variance318.72413
MonotonicityNot monotonic
2023-12-10T15:45:32.285270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 21
 
10.6%
6 13
 
6.5%
13 12
 
6.0%
11 12
 
6.0%
10 10
 
5.0%
12 9
 
4.5%
5 8
 
4.0%
16 8
 
4.0%
21 7
 
3.5%
9 7
 
3.5%
Other values (41) 92
46.2%
ValueCountFrequency (%)
4 3
 
1.5%
5 8
 
4.0%
6 13
6.5%
7 4
 
2.0%
8 21
10.6%
9 7
 
3.5%
10 10
5.0%
11 12
6.0%
12 9
4.5%
13 12
6.0%
ValueCountFrequency (%)
102 1
0.5%
101 1
0.5%
93 1
0.5%
77 1
0.5%
75 1
0.5%
73 1
0.5%
70 1
0.5%
67 1
0.5%
63 1
0.5%
62 1
0.5%

25.2
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.447236
Minimum2
Maximum78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:32.479754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q317
95-th percentile37.3
Maximum78
Range76
Interquartile range (IQR)10

Descriptive statistics

Standard deviation11.377187
Coefficient of variation (CV)0.7874992
Kurtosis5.6331993
Mean14.447236
Median Absolute Deviation (MAD)5
Skewness2.0325404
Sum2875
Variance129.44038
MonotonicityNot monotonic
2023-12-10T15:45:32.671431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 18
 
9.0%
7 13
 
6.5%
12 13
 
6.5%
10 12
 
6.0%
8 12
 
6.0%
6 11
 
5.5%
11 11
 
5.5%
13 10
 
5.0%
14 10
 
5.0%
16 10
 
5.0%
Other values (32) 79
39.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 6
 
3.0%
4 8
4.0%
5 18
9.0%
6 11
5.5%
7 13
6.5%
8 12
6.0%
9 7
 
3.5%
10 12
6.0%
11 11
5.5%
ValueCountFrequency (%)
78 1
 
0.5%
55 1
 
0.5%
49 1
 
0.5%
45 2
1.0%
44 1
 
0.5%
43 2
1.0%
42 1
 
0.5%
40 1
 
0.5%
37 3
1.5%
36 1
 
0.5%

37.1
Real number (ℝ)

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.407035
Minimum2
Maximum59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:32.883662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q318
95-th percentile40
Maximum59
Range57
Interquartile range (IQR)11

Descriptive statistics

Standard deviation11.349816
Coefficient of variation (CV)0.78779682
Kurtosis3.2547448
Mean14.407035
Median Absolute Deviation (MAD)5
Skewness1.8389115
Sum2867
Variance128.81833
MonotonicityNot monotonic
2023-12-10T15:45:33.100207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
9 20
 
10.1%
6 16
 
8.0%
11 16
 
8.0%
7 15
 
7.5%
10 14
 
7.0%
4 13
 
6.5%
13 10
 
5.0%
18 8
 
4.0%
5 8
 
4.0%
8 6
 
3.0%
Other values (32) 73
36.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 5
 
2.5%
4 13
6.5%
5 8
 
4.0%
6 16
8.0%
7 15
7.5%
8 6
 
3.0%
9 20
10.1%
10 14
7.0%
11 16
8.0%
ValueCountFrequency (%)
59 1
0.5%
56 1
0.5%
55 1
0.5%
53 1
0.5%
48 1
0.5%
47 1
0.5%
45 1
0.5%
44 1
0.5%
41 1
0.5%
40 2
1.0%

20.11
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.487437
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:33.319867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q315
95-th percentile28.2
Maximum46
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.4768605
Coefficient of variation (CV)0.73792443
Kurtosis2.7581511
Mean11.487437
Median Absolute Deviation (MAD)5
Skewness1.4954872
Sum2286
Variance71.857165
MonotonicityNot monotonic
2023-12-10T15:45:33.522092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 18
 
9.0%
8 15
 
7.5%
3 15
 
7.5%
4 15
 
7.5%
12 14
 
7.0%
2 11
 
5.5%
11 10
 
5.0%
5 9
 
4.5%
14 8
 
4.0%
13 8
 
4.0%
Other values (24) 76
38.2%
ValueCountFrequency (%)
1 2
 
1.0%
2 11
5.5%
3 15
7.5%
4 15
7.5%
5 9
4.5%
6 18
9.0%
7 6
 
3.0%
8 15
7.5%
9 7
 
3.5%
10 7
 
3.5%
ValueCountFrequency (%)
46 1
 
0.5%
44 1
 
0.5%
42 1
 
0.5%
39 1
 
0.5%
35 1
 
0.5%
34 1
 
0.5%
31 1
 
0.5%
30 3
1.5%
28 1
 
0.5%
26 2
1.0%

8.11
Real number (ℝ)

Distinct46
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.115578
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:33.715487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median12
Q321
95-th percentile39.1
Maximum76
Range75
Interquartile range (IQR)19

Descriptive statistics

Standard deviation13.528933
Coefficient of variation (CV)0.9584399
Kurtosis2.7569348
Mean14.115578
Median Absolute Deviation (MAD)10
Skewness1.4272024
Sum2809
Variance183.03203
MonotonicityNot monotonic
2023-12-10T15:45:33.923729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1 30
 
15.1%
2 24
 
12.1%
3 12
 
6.0%
21 7
 
3.5%
16 7
 
3.5%
14 7
 
3.5%
5 7
 
3.5%
9 6
 
3.0%
22 6
 
3.0%
20 6
 
3.0%
Other values (36) 87
43.7%
ValueCountFrequency (%)
1 30
15.1%
2 24
12.1%
3 12
 
6.0%
4 3
 
1.5%
5 7
 
3.5%
6 5
 
2.5%
7 4
 
2.0%
8 2
 
1.0%
9 6
 
3.0%
10 2
 
1.0%
ValueCountFrequency (%)
76 1
0.5%
63 1
0.5%
59 1
0.5%
55 1
0.5%
52 1
0.5%
48 1
0.5%
44 1
0.5%
43 1
0.5%
41 1
0.5%
40 1
0.5%

92
Real number (ℝ)

Distinct85
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.562814
Minimum6
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:34.104285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile14
Q124
median33
Q353
95-th percentile145.4
Maximum258
Range252
Interquartile range (IQR)29

Descriptive statistics

Standard deviation42.218346
Coefficient of variation (CV)0.88763347
Kurtosis7.4247867
Mean47.562814
Median Absolute Deviation (MAD)14
Skewness2.5323545
Sum9465
Variance1782.3887
MonotonicityNot monotonic
2023-12-10T15:45:34.299890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 9
 
4.5%
38 9
 
4.5%
31 8
 
4.0%
16 7
 
3.5%
27 7
 
3.5%
26 7
 
3.5%
28 6
 
3.0%
68 5
 
2.5%
24 5
 
2.5%
19 5
 
2.5%
Other values (75) 131
65.8%
ValueCountFrequency (%)
6 1
 
0.5%
8 1
 
0.5%
10 2
 
1.0%
11 2
 
1.0%
12 1
 
0.5%
13 2
 
1.0%
14 3
 
1.5%
15 2
 
1.0%
16 7
3.5%
17 9
4.5%
ValueCountFrequency (%)
258 1
0.5%
242 1
0.5%
223 1
0.5%
202 1
0.5%
179 1
0.5%
175 1
0.5%
169 1
0.5%
161 1
0.5%
150 1
0.5%
149 1
0.5%

202.1
Real number (ℝ)

Distinct95
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.18593
Minimum10
Maximum424
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:34.509634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile14.9
Q125.5
median37
Q362.5
95-th percentile187
Maximum424
Range414
Interquartile range (IQR)37

Descriptive statistics

Standard deviation62.501884
Coefficient of variation (CV)1.0560261
Kurtosis9.514199
Mean59.18593
Median Absolute Deviation (MAD)16
Skewness2.8183045
Sum11778
Variance3906.4855
MonotonicityNot monotonic
2023-12-10T15:45:34.740320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
29 9
 
4.5%
35 8
 
4.0%
40 8
 
4.0%
26 6
 
3.0%
20 6
 
3.0%
22 5
 
2.5%
21 5
 
2.5%
17 5
 
2.5%
28 5
 
2.5%
18 5
 
2.5%
Other values (85) 137
68.8%
ValueCountFrequency (%)
10 1
 
0.5%
11 4
2.0%
12 1
 
0.5%
13 2
 
1.0%
14 2
 
1.0%
15 2
 
1.0%
16 2
 
1.0%
17 5
2.5%
18 5
2.5%
19 3
1.5%
ValueCountFrequency (%)
424 1
0.5%
324 1
0.5%
308 1
0.5%
306 1
0.5%
282 1
0.5%
227 1
0.5%
208 1
0.5%
203 2
1.0%
196 1
0.5%
186 1
0.5%

13.4
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.959799
Minimum1
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:34.891410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q311
95-th percentile29.2
Maximum125
Range124
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.943092
Coefficient of variation (CV)1.2995334
Kurtosis34.919019
Mean9.959799
Median Absolute Deviation (MAD)3
Skewness4.979457
Sum1982
Variance167.52363
MonotonicityNot monotonic
2023-12-10T15:45:35.094463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
3 29
14.6%
5 27
13.6%
4 23
11.6%
6 17
 
8.5%
9 12
 
6.0%
2 12
 
6.0%
7 12
 
6.0%
8 11
 
5.5%
12 7
 
3.5%
13 6
 
3.0%
Other values (26) 43
21.6%
ValueCountFrequency (%)
1 1
 
0.5%
2 12
6.0%
3 29
14.6%
4 23
11.6%
5 27
13.6%
6 17
8.5%
7 12
6.0%
8 11
 
5.5%
9 12
6.0%
10 4
 
2.0%
ValueCountFrequency (%)
125 1
0.5%
71 1
0.5%
63 1
0.5%
51 1
0.5%
47 1
0.5%
42 1
0.5%
35 1
0.5%
34 1
0.5%
32 1
0.5%
31 1
0.5%

19.5
Real number (ℝ)

Distinct34
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.055276
Minimum2
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:35.323057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14
median7
Q311
95-th percentile30
Maximum54
Range52
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.12258
Coefficient of variation (CV)1.0066934
Kurtosis7.1815718
Mean10.055276
Median Absolute Deviation (MAD)3
Skewness2.5864676
Sum2001
Variance102.46663
MonotonicityNot monotonic
2023-12-10T15:45:35.524662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
4 28
14.1%
6 25
12.6%
7 25
12.6%
3 23
11.6%
5 16
 
8.0%
12 8
 
4.0%
9 7
 
3.5%
10 7
 
3.5%
2 7
 
3.5%
11 6
 
3.0%
Other values (24) 47
23.6%
ValueCountFrequency (%)
2 7
 
3.5%
3 23
11.6%
4 28
14.1%
5 16
8.0%
6 25
12.6%
7 25
12.6%
8 6
 
3.0%
9 7
 
3.5%
10 7
 
3.5%
11 6
 
3.0%
ValueCountFrequency (%)
54 2
1.0%
53 1
 
0.5%
51 1
 
0.5%
49 1
 
0.5%
45 1
 
0.5%
44 1
 
0.5%
36 1
 
0.5%
31 1
 
0.5%
30 3
1.5%
28 2
1.0%

37.2
Real number (ℝ)

Distinct39
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.246231
Minimum2
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:35.687195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.9
Q18
median11
Q318
95-th percentile35.1
Maximum47
Range45
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.226919
Coefficient of variation (CV)0.64767438
Kurtosis1.6296175
Mean14.246231
Median Absolute Deviation (MAD)4
Skewness1.4220543
Sum2835
Variance85.136034
MonotonicityNot monotonic
2023-12-10T15:45:35.863290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
7 18
 
9.0%
12 16
 
8.0%
10 14
 
7.0%
9 14
 
7.0%
11 13
 
6.5%
6 12
 
6.0%
8 11
 
5.5%
15 9
 
4.5%
19 8
 
4.0%
5 8
 
4.0%
Other values (29) 76
38.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 2
 
1.0%
4 7
 
3.5%
5 8
4.0%
6 12
6.0%
7 18
9.0%
8 11
5.5%
9 14
7.0%
10 14
7.0%
11 13
6.5%
ValueCountFrequency (%)
47 1
0.5%
44 1
0.5%
43 1
0.5%
42 1
0.5%
39 1
0.5%
38 2
1.0%
37 2
1.0%
36 1
0.5%
35 1
0.5%
33 2
1.0%

34.5
Real number (ℝ)

Distinct36
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.407035
Minimum2
Maximum77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:36.040186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q15
median8
Q313
95-th percentile39.1
Maximum77
Range75
Interquartile range (IQR)8

Descriptive statistics

Standard deviation11.734872
Coefficient of variation (CV)1.0287399
Kurtosis9.5272793
Mean11.407035
Median Absolute Deviation (MAD)4
Skewness2.8133274
Sum2270
Variance137.70722
MonotonicityNot monotonic
2023-12-10T15:45:36.207163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
5 22
 
11.1%
3 19
 
9.5%
4 19
 
9.5%
7 17
 
8.5%
9 16
 
8.0%
6 15
 
7.5%
8 14
 
7.0%
2 7
 
3.5%
11 6
 
3.0%
12 6
 
3.0%
Other values (26) 58
29.1%
ValueCountFrequency (%)
2 7
 
3.5%
3 19
9.5%
4 19
9.5%
5 22
11.1%
6 15
7.5%
7 17
8.5%
8 14
7.0%
9 16
8.0%
10 5
 
2.5%
11 6
 
3.0%
ValueCountFrequency (%)
77 1
0.5%
71 1
0.5%
52 2
1.0%
51 1
0.5%
46 1
0.5%
43 1
0.5%
41 2
1.0%
40 1
0.5%
39 1
0.5%
37 1
0.5%

19.6
Real number (ℝ)

Distinct28
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2864322
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:36.345540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39.5
95-th percentile19.1
Maximum67
Range66
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation8.1800056
Coefficient of variation (CV)0.98715653
Kurtosis17.873353
Mean8.2864322
Median Absolute Deviation (MAD)2
Skewness3.6836245
Sum1649
Variance66.912492
MonotonicityNot monotonic
2023-12-10T15:45:36.489831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
6 34
17.1%
3 27
13.6%
4 22
11.1%
5 22
11.1%
8 12
 
6.0%
7 12
 
6.0%
2 11
 
5.5%
10 11
 
5.5%
9 8
 
4.0%
11 6
 
3.0%
Other values (18) 34
17.1%
ValueCountFrequency (%)
1 1
 
0.5%
2 11
 
5.5%
3 27
13.6%
4 22
11.1%
5 22
11.1%
6 34
17.1%
7 12
 
6.0%
8 12
 
6.0%
9 8
 
4.0%
10 11
 
5.5%
ValueCountFrequency (%)
67 1
0.5%
45 1
0.5%
43 1
0.5%
38 1
0.5%
37 1
0.5%
36 1
0.5%
31 1
0.5%
30 1
0.5%
28 1
0.5%
20 1
0.5%

8.12
Real number (ℝ)

Distinct26
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6984925
Minimum1
Maximum43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:36.663729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median6
Q39
95-th percentile18.1
Maximum43
Range42
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.7655847
Coefficient of variation (CV)0.74892387
Kurtosis8.765743
Mean7.6984925
Median Absolute Deviation (MAD)2
Skewness2.4184136
Sum1532
Variance33.241967
MonotonicityNot monotonic
2023-12-10T15:45:36.805473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6 23
11.6%
5 22
11.1%
8 20
10.1%
4 18
9.0%
3 18
9.0%
7 18
9.0%
2 17
8.5%
9 15
7.5%
11 10
 
5.0%
12 6
 
3.0%
Other values (16) 32
16.1%
ValueCountFrequency (%)
1 4
 
2.0%
2 17
8.5%
3 18
9.0%
4 18
9.0%
5 22
11.1%
6 23
11.6%
7 18
9.0%
8 20
10.1%
9 15
7.5%
10 4
 
2.0%
ValueCountFrequency (%)
43 1
0.5%
29 1
0.5%
28 1
0.5%
26 1
0.5%
25 2
1.0%
24 2
1.0%
21 1
0.5%
19 1
0.5%
18 1
0.5%
17 2
1.0%

29.3
Real number (ℝ)

Distinct48
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.417085
Minimum1
Maximum212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:37.498136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.9
Q14
median7
Q315
95-th percentile59.6
Maximum212
Range211
Interquartile range (IQR)11

Descriptive statistics

Standard deviation24.694536
Coefficient of variation (CV)1.6017642
Kurtosis26.613582
Mean15.417085
Median Absolute Deviation (MAD)3
Skewness4.4654352
Sum3068
Variance609.82011
MonotonicityNot monotonic
2023-12-10T15:45:37.661340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5 24
 
12.1%
4 22
 
11.1%
6 20
 
10.1%
3 20
 
10.1%
7 12
 
6.0%
9 10
 
5.0%
2 9
 
4.5%
15 8
 
4.0%
8 7
 
3.5%
11 7
 
3.5%
Other values (38) 60
30.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 9
 
4.5%
3 20
10.1%
4 22
11.1%
5 24
12.1%
6 20
10.1%
7 12
6.0%
8 7
 
3.5%
9 10
5.0%
10 6
 
3.0%
ValueCountFrequency (%)
212 1
0.5%
162 1
0.5%
98 1
0.5%
90 1
0.5%
81 1
0.5%
78 1
0.5%
76 1
0.5%
70 1
0.5%
68 1
0.5%
65 1
0.5%

30.4
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.844221
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:37.858630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14
median7
Q313
95-th percentile41
Maximum82
Range81
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.373457
Coefficient of variation (CV)1.1291124
Kurtosis9.1093267
Mean11.844221
Median Absolute Deviation (MAD)3
Skewness2.7877509
Sum2357
Variance178.84935
MonotonicityNot monotonic
2023-12-10T15:45:38.046084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
6 22
 
11.1%
4 22
 
11.1%
5 22
 
11.1%
3 18
 
9.0%
7 12
 
6.0%
2 12
 
6.0%
9 9
 
4.5%
8 8
 
4.0%
10 7
 
3.5%
11 7
 
3.5%
Other values (31) 60
30.2%
ValueCountFrequency (%)
1 1
 
0.5%
2 12
6.0%
3 18
9.0%
4 22
11.1%
5 22
11.1%
6 22
11.1%
7 12
6.0%
8 8
 
4.0%
9 9
4.5%
10 7
 
3.5%
ValueCountFrequency (%)
82 1
0.5%
80 1
0.5%
66 1
0.5%
59 2
1.0%
51 1
0.5%
50 1
0.5%
47 1
0.5%
43 1
0.5%
41 2
1.0%
36 1
0.5%

78
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.075377
Minimum2
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:38.270243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q14.5
median8
Q313
95-th percentile42.1
Maximum108
Range106
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation17.454106
Coefficient of variation (CV)1.3348836
Kurtosis14.28937
Mean13.075377
Median Absolute Deviation (MAD)4
Skewness3.5942848
Sum2602
Variance304.6458
MonotonicityNot monotonic
2023-12-10T15:45:38.548006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
5 24
 
12.1%
4 22
 
11.1%
3 21
 
10.6%
8 18
 
9.0%
7 14
 
7.0%
11 9
 
4.5%
6 9
 
4.5%
12 8
 
4.0%
2 7
 
3.5%
13 7
 
3.5%
Other values (31) 60
30.2%
ValueCountFrequency (%)
2 7
 
3.5%
3 21
10.6%
4 22
11.1%
5 24
12.1%
6 9
 
4.5%
7 14
7.0%
8 18
9.0%
9 5
 
2.5%
10 6
 
3.0%
11 9
 
4.5%
ValueCountFrequency (%)
108 1
0.5%
107 1
0.5%
99 1
0.5%
94 1
0.5%
79 1
0.5%
73 1
0.5%
65 1
0.5%
64 1
0.5%
53 1
0.5%
52 1
0.5%

44.1
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6984925
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:38.832933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q14
median6
Q310
95-th percentile31.2
Maximum92
Range91
Interquartile range (IQR)6

Descriptive statistics

Standard deviation11.992403
Coefficient of variation (CV)1.2365224
Kurtosis21.978866
Mean9.6984925
Median Absolute Deviation (MAD)2
Skewness4.2903744
Sum1930
Variance143.81772
MonotonicityNot monotonic
2023-12-10T15:45:39.118954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3 24
12.1%
6 24
12.1%
5 23
11.6%
4 21
10.6%
7 17
8.5%
8 17
8.5%
10 10
 
5.0%
11 8
 
4.0%
12 8
 
4.0%
9 7
 
3.5%
Other values (22) 40
20.1%
ValueCountFrequency (%)
1 2
 
1.0%
2 7
 
3.5%
3 24
12.1%
4 21
10.6%
5 23
11.6%
6 24
12.1%
7 17
8.5%
8 17
8.5%
9 7
 
3.5%
10 10
5.0%
ValueCountFrequency (%)
92 1
0.5%
86 1
0.5%
60 1
0.5%
59 1
0.5%
49 1
0.5%
45 1
0.5%
44 1
0.5%
41 1
0.5%
34 1
0.5%
33 1
0.5%

21.7
Real number (ℝ)

Distinct29
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.281407
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:39.588652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median8
Q311
95-th percentile22.2
Maximum63
Range62
Interquartile range (IQR)6

Descriptive statistics

Standard deviation7.2995922
Coefficient of variation (CV)0.78647474
Kurtosis15.965602
Mean9.281407
Median Absolute Deviation (MAD)3
Skewness3.0300562
Sum1847
Variance53.284046
MonotonicityNot monotonic
2023-12-10T15:45:39.974743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
9 19
 
9.5%
7 18
 
9.0%
8 16
 
8.0%
10 16
 
8.0%
6 16
 
8.0%
3 16
 
8.0%
4 13
 
6.5%
5 12
 
6.0%
2 11
 
5.5%
11 10
 
5.0%
Other values (19) 52
26.1%
ValueCountFrequency (%)
1 6
 
3.0%
2 11
5.5%
3 16
8.0%
4 13
6.5%
5 12
6.0%
6 16
8.0%
7 18
9.0%
8 16
8.0%
9 19
9.5%
10 16
8.0%
ValueCountFrequency (%)
63 1
0.5%
39 1
0.5%
35 1
0.5%
29 1
0.5%
27 2
1.0%
26 1
0.5%
25 1
0.5%
24 2
1.0%
22 2
1.0%
21 1
0.5%

376
Real number (ℝ)

Distinct127
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.748744
Minimum13
Maximum583
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:40.298895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile19.9
Q134
median57
Q3122
95-th percentile351.8
Maximum583
Range570
Interquartile range (IQR)88

Descriptive statistics

Standard deviation103.56917
Coefficient of variation (CV)1.0704963
Kurtosis6.1086565
Mean96.748744
Median Absolute Deviation (MAD)29
Skewness2.3617242
Sum19253
Variance10726.573
MonotonicityNot monotonic
2023-12-10T15:45:40.591456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 6
 
3.0%
21 5
 
2.5%
34 5
 
2.5%
39 4
 
2.0%
47 4
 
2.0%
33 4
 
2.0%
36 4
 
2.0%
19 3
 
1.5%
22 3
 
1.5%
30 3
 
1.5%
Other values (117) 158
79.4%
ValueCountFrequency (%)
13 2
 
1.0%
14 1
 
0.5%
15 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
18 1
 
0.5%
19 3
1.5%
20 3
1.5%
21 5
2.5%
22 3
1.5%
ValueCountFrequency (%)
583 1
0.5%
565 1
0.5%
511 1
0.5%
420 1
0.5%
410 1
0.5%
397 1
0.5%
387 1
0.5%
373 1
0.5%
372 1
0.5%
359 1
0.5%

648
Real number (ℝ)

Distinct124
Distinct (%)62.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.17588
Minimum13
Maximum779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:40.784067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile21
Q136
median66
Q3143.5
95-th percentile469.8
Maximum779
Range766
Interquartile range (IQR)107.5

Descriptive statistics

Standard deviation149.06833
Coefficient of variation (CV)1.1814329
Kurtosis4.4669199
Mean126.17588
Median Absolute Deviation (MAD)36
Skewness2.1637093
Sum25109
Variance22221.368
MonotonicityNot monotonic
2023-12-10T15:45:40.982778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66 7
 
3.5%
36 6
 
3.0%
29 5
 
2.5%
22 5
 
2.5%
44 4
 
2.0%
25 4
 
2.0%
43 4
 
2.0%
35 4
 
2.0%
21 4
 
2.0%
49 4
 
2.0%
Other values (114) 152
76.4%
ValueCountFrequency (%)
13 1
 
0.5%
14 2
 
1.0%
16 1
 
0.5%
17 1
 
0.5%
18 1
 
0.5%
19 1
 
0.5%
20 2
 
1.0%
21 4
2.0%
22 5
2.5%
23 2
 
1.0%
ValueCountFrequency (%)
779 1
0.5%
705 1
0.5%
665 1
0.5%
598 2
1.0%
579 1
0.5%
558 1
0.5%
544 1
0.5%
535 1
0.5%
495 1
0.5%
467 1
0.5%

19.7
Real number (ℝ)

Distinct32
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.21608
Minimum2
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:41.174575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median9
Q314
95-th percentile26.1
Maximum39
Range37
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.1568673
Coefficient of variation (CV)0.63808988
Kurtosis1.8946876
Mean11.21608
Median Absolute Deviation (MAD)4
Skewness1.3826588
Sum2232
Variance51.22075
MonotonicityNot monotonic
2023-12-10T15:45:41.344179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
7 23
 
11.6%
5 18
 
9.0%
12 14
 
7.0%
4 13
 
6.5%
6 13
 
6.5%
9 13
 
6.5%
8 13
 
6.5%
11 13
 
6.5%
13 10
 
5.0%
3 9
 
4.5%
Other values (22) 60
30.2%
ValueCountFrequency (%)
2 2
 
1.0%
3 9
 
4.5%
4 13
6.5%
5 18
9.0%
6 13
6.5%
7 23
11.6%
8 13
6.5%
9 13
6.5%
10 5
 
2.5%
11 13
6.5%
ValueCountFrequency (%)
39 1
 
0.5%
37 1
 
0.5%
35 1
 
0.5%
30 1
 
0.5%
29 3
1.5%
28 2
1.0%
27 1
 
0.5%
26 2
1.0%
25 1
 
0.5%
24 3
1.5%

79.1
Real number (ℝ)

Distinct59
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.40201
Minimum2
Maximum254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:41.530222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median10
Q325.5
95-th percentile76.2
Maximum254
Range252
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation30.742646
Coefficient of variation (CV)1.3723164
Kurtosis17.813023
Mean22.40201
Median Absolute Deviation (MAD)6
Skewness3.4705732
Sum4458
Variance945.1103
MonotonicityNot monotonic
2023-12-10T15:45:41.720971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 18
 
9.0%
7 17
 
8.5%
4 14
 
7.0%
5 14
 
7.0%
3 13
 
6.5%
10 10
 
5.0%
8 9
 
4.5%
12 5
 
2.5%
11 5
 
2.5%
9 5
 
2.5%
Other values (49) 89
44.7%
ValueCountFrequency (%)
2 4
 
2.0%
3 13
6.5%
4 14
7.0%
5 14
7.0%
6 18
9.0%
7 17
8.5%
8 9
4.5%
9 5
 
2.5%
10 10
5.0%
11 5
 
2.5%
ValueCountFrequency (%)
254 1
0.5%
137 1
0.5%
135 1
0.5%
117 1
0.5%
113 1
0.5%
110 1
0.5%
107 1
0.5%
89 1
0.5%
81 1
0.5%
78 1
0.5%

95
Real number (ℝ)

Distinct62
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.738693
Minimum2
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:41.932160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median11
Q324.5
95-th percentile87
Maximum146
Range144
Interquartile range (IQR)18.5

Descriptive statistics

Standard deviation26.248849
Coefficient of variation (CV)1.2074713
Kurtosis5.3745186
Mean21.738693
Median Absolute Deviation (MAD)6
Skewness2.3032269
Sum4326
Variance689.00208
MonotonicityNot monotonic
2023-12-10T15:45:42.118631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 16
 
8.0%
7 14
 
7.0%
4 12
 
6.0%
3 12
 
6.0%
9 12
 
6.0%
6 11
 
5.5%
8 10
 
5.0%
10 7
 
3.5%
11 7
 
3.5%
16 7
 
3.5%
Other values (52) 91
45.7%
ValueCountFrequency (%)
2 3
 
1.5%
3 12
6.0%
4 12
6.0%
5 16
8.0%
6 11
5.5%
7 14
7.0%
8 10
5.0%
9 12
6.0%
10 7
3.5%
11 7
3.5%
ValueCountFrequency (%)
146 1
0.5%
122 1
0.5%
117 1
0.5%
111 1
0.5%
107 1
0.5%
105 1
0.5%
98 1
0.5%
95 1
0.5%
92 1
0.5%
87 2
1.0%

120.1
Real number (ℝ)

Distinct64
Distinct (%)32.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.969849
Minimum2
Maximum156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:42.320843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16.5
median13
Q329
95-th percentile91.8
Maximum156
Range154
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation28.086251
Coefficient of variation (CV)1.1717325
Kurtosis5.5189739
Mean23.969849
Median Absolute Deviation (MAD)8
Skewness2.2907344
Sum4770
Variance788.83747
MonotonicityNot monotonic
2023-12-10T15:45:42.513927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
6 14
 
7.0%
9 13
 
6.5%
5 12
 
6.0%
7 12
 
6.0%
11 9
 
4.5%
8 8
 
4.0%
13 7
 
3.5%
15 6
 
3.0%
21 5
 
2.5%
Other values (54) 96
48.2%
ValueCountFrequency (%)
2 3
 
1.5%
3 4
 
2.0%
4 17
8.5%
5 12
6.0%
6 14
7.0%
7 12
6.0%
8 8
4.0%
9 13
6.5%
10 2
 
1.0%
11 9
4.5%
ValueCountFrequency (%)
156 1
0.5%
141 1
0.5%
123 1
0.5%
121 1
0.5%
113 1
0.5%
108 1
0.5%
107 1
0.5%
102 1
0.5%
101 1
0.5%
99 1
0.5%

59
Real number (ℝ)

Distinct45
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.015075
Minimum2
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:42.702421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median10
Q320
95-th percentile52.5
Maximum129
Range127
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.102329
Coefficient of variation (CV)1.0678894
Kurtosis12.249679
Mean16.015075
Median Absolute Deviation (MAD)5
Skewness3.0379761
Sum3187
Variance292.48967
MonotonicityNot monotonic
2023-12-10T15:45:42.874010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
4 17
 
8.5%
7 16
 
8.0%
6 15
 
7.5%
5 14
 
7.0%
8 13
 
6.5%
12 12
 
6.0%
9 11
 
5.5%
10 9
 
4.5%
11 7
 
3.5%
16 7
 
3.5%
Other values (35) 78
39.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 7
3.5%
4 17
8.5%
5 14
7.0%
6 15
7.5%
7 16
8.0%
8 13
6.5%
9 11
5.5%
10 9
4.5%
11 7
3.5%
ValueCountFrequency (%)
129 1
0.5%
82 1
0.5%
81 1
0.5%
75 1
0.5%
68 2
1.0%
66 1
0.5%
62 1
0.5%
61 1
0.5%
57 1
0.5%
52 1
0.5%

24.5
Real number (ℝ)

Distinct30
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.41206
Minimum3
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:43.092115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile4
Q17
median10
Q315
95-th percentile25.2
Maximum75
Range72
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.824384
Coefficient of variation (CV)0.71095239
Kurtosis15.562872
Mean12.41206
Median Absolute Deviation (MAD)4
Skewness3.1387786
Sum2470
Variance77.869753
MonotonicityNot monotonic
2023-12-10T15:45:43.259421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
9 24
 
12.1%
6 17
 
8.5%
8 17
 
8.5%
7 16
 
8.0%
10 14
 
7.0%
11 12
 
6.0%
14 10
 
5.0%
13 10
 
5.0%
4 9
 
4.5%
16 7
 
3.5%
Other values (20) 63
31.7%
ValueCountFrequency (%)
3 5
 
2.5%
4 9
 
4.5%
5 7
 
3.5%
6 17
8.5%
7 16
8.0%
8 17
8.5%
9 24
12.1%
10 14
7.0%
11 12
6.0%
12 6
 
3.0%
ValueCountFrequency (%)
75 1
 
0.5%
53 1
 
0.5%
48 1
 
0.5%
44 1
 
0.5%
35 1
 
0.5%
30 2
 
1.0%
29 1
 
0.5%
27 2
 
1.0%
25 3
1.5%
24 6
3.0%

176
Real number (ℝ)

Distinct75
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.256281
Minimum2
Maximum383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:43.467527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median12
Q340
95-th percentile171.5
Maximum383
Range381
Interquartile range (IQR)34

Descriptive statistics

Standard deviation61.627093
Coefficient of variation (CV)1.5698658
Kurtosis8.9270731
Mean39.256281
Median Absolute Deviation (MAD)8
Skewness2.7457642
Sum7812
Variance3797.8986
MonotonicityNot monotonic
2023-12-10T15:45:43.681941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 16
 
8.0%
3 15
 
7.5%
5 15
 
7.5%
7 11
 
5.5%
8 11
 
5.5%
4 9
 
4.5%
9 7
 
3.5%
10 5
 
2.5%
13 5
 
2.5%
12 5
 
2.5%
Other values (65) 100
50.3%
ValueCountFrequency (%)
2 3
 
1.5%
3 15
7.5%
4 9
4.5%
5 15
7.5%
6 16
8.0%
7 11
5.5%
8 11
5.5%
9 7
3.5%
10 5
 
2.5%
11 3
 
1.5%
ValueCountFrequency (%)
383 1
0.5%
361 1
0.5%
237 1
0.5%
214 1
0.5%
212 2
1.0%
192 1
0.5%
182 1
0.5%
181 1
0.5%
176 1
0.5%
171 2
1.0%

128.2
Real number (ℝ)

Distinct66
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.145729
Minimum2
Maximum161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:43.896271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median13
Q331
95-th percentile101.9
Maximum161
Range159
Interquartile range (IQR)25

Descriptive statistics

Standard deviation32.626659
Coefficient of variation (CV)1.2478772
Kurtosis4.5547325
Mean26.145729
Median Absolute Deviation (MAD)9
Skewness2.1728813
Sum5203
Variance1064.4989
MonotonicityNot monotonic
2023-12-10T15:45:44.070700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 17
 
8.5%
7 15
 
7.5%
3 13
 
6.5%
6 10
 
5.0%
8 10
 
5.0%
5 9
 
4.5%
11 7
 
3.5%
9 7
 
3.5%
13 5
 
2.5%
14 5
 
2.5%
Other values (56) 101
50.8%
ValueCountFrequency (%)
2 3
 
1.5%
3 13
6.5%
4 17
8.5%
5 9
4.5%
6 10
5.0%
7 15
7.5%
8 10
5.0%
9 7
3.5%
10 4
 
2.0%
11 7
3.5%
ValueCountFrequency (%)
161 1
0.5%
152 1
0.5%
146 1
0.5%
144 1
0.5%
136 1
0.5%
131 1
0.5%
117 1
0.5%
116 2
1.0%
110 1
0.5%
101 1
0.5%

193.2
Real number (ℝ)

Distinct67
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.145729
Minimum2
Maximum199
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:44.272173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q16
median14
Q331.5
95-th percentile108
Maximum199
Range197
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation36.03483
Coefficient of variation (CV)1.3274586
Kurtosis7.8561775
Mean27.145729
Median Absolute Deviation (MAD)9
Skewness2.714901
Sum5402
Variance1298.509
MonotonicityNot monotonic
2023-12-10T15:45:44.458687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 17
 
8.5%
4 14
 
7.0%
5 14
 
7.0%
10 13
 
6.5%
8 9
 
4.5%
3 8
 
4.0%
14 8
 
4.0%
15 6
 
3.0%
7 5
 
2.5%
18 4
 
2.0%
Other values (57) 101
50.8%
ValueCountFrequency (%)
2 3
 
1.5%
3 8
4.0%
4 14
7.0%
5 14
7.0%
6 17
8.5%
7 5
 
2.5%
8 9
4.5%
9 3
 
1.5%
10 13
6.5%
11 3
 
1.5%
ValueCountFrequency (%)
199 1
0.5%
183 1
0.5%
177 1
0.5%
173 1
0.5%
160 1
0.5%
150 1
0.5%
141 1
0.5%
130 1
0.5%
120 1
0.5%
117 1
0.5%

101.2
Real number (ℝ)

Distinct52
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.864322
Minimum2
Maximum163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:44.627174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q17
median11
Q321.5
95-th percentile74.1
Maximum163
Range161
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation22.66481
Coefficient of variation (CV)1.2014644
Kurtosis11.930954
Mean18.864322
Median Absolute Deviation (MAD)5
Skewness3.1230046
Sum3754
Variance513.69362
MonotonicityNot monotonic
2023-12-10T15:45:44.803642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 19
 
9.5%
8 17
 
8.5%
5 14
 
7.0%
4 11
 
5.5%
10 11
 
5.5%
9 10
 
5.0%
6 10
 
5.0%
11 8
 
4.0%
13 8
 
4.0%
12 7
 
3.5%
Other values (42) 84
42.2%
ValueCountFrequency (%)
2 1
 
0.5%
3 6
 
3.0%
4 11
5.5%
5 14
7.0%
6 10
5.0%
7 19
9.5%
8 17
8.5%
9 10
5.0%
10 11
5.5%
11 8
4.0%
ValueCountFrequency (%)
163 1
0.5%
115 1
0.5%
104 2
1.0%
95 1
0.5%
87 1
0.5%
85 1
0.5%
80 1
0.5%
79 1
0.5%
75 1
0.5%
74 1
0.5%

49.1
Real number (ℝ)

Distinct41
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.01005
Minimum2
Maximum75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-10T15:45:45.367286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q18
median12
Q318
95-th percentile37.1
Maximum75
Range73
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.400558
Coefficient of variation (CV)0.6929063
Kurtosis6.5524725
Mean15.01005
Median Absolute Deviation (MAD)4
Skewness2.1235801
Sum2987
Variance108.17162
MonotonicityNot monotonic
2023-12-10T15:45:45.512516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
9 17
 
8.5%
7 16
 
8.0%
11 14
 
7.0%
12 12
 
6.0%
8 12
 
6.0%
5 12
 
6.0%
13 11
 
5.5%
10 11
 
5.5%
16 11
 
5.5%
4 6
 
3.0%
Other values (31) 77
38.7%
ValueCountFrequency (%)
2 1
 
0.5%
3 1
 
0.5%
4 6
 
3.0%
5 12
6.0%
6 4
 
2.0%
7 16
8.0%
8 12
6.0%
9 17
8.5%
10 11
5.5%
11 14
7.0%
ValueCountFrequency (%)
75 1
0.5%
50 2
1.0%
48 1
0.5%
44 2
1.0%
43 1
0.5%
39 1
0.5%
38 2
1.0%
37 1
0.5%
36 1
0.5%
35 1
0.5%

Sample

164850003172746163033.153.2145.1116773.3110180222535218422727.157381711615434263318405.26225.139208.1931931520.121.133.118.17.134.129694120.2371645107594119602317912819297499910.120.322.14.12.21.13.43.57.22114.22.310416522.123.133.2197.338.11426.15433.314.110614430.126.230.216.121.24.3582435.120.48.2851891317.1545267363117.27.42827.27242.120.534660920.67385.110958.121.3166119.11849643915.128.12.43.65.33.71.24.44.510.233.46.13.810117418.223.233.520.77.53729.128.258.236.116.212416134.230.336.218.3775.460.128.343.121.49.19820215.222.24734.320.88.334.429.273.14421.538565724.18097.11206424.219512619198.147.140615.328.43.93.105.53.111.34.65.610.36926.23.127912717.319.124.314.25.7321168061085.220.938.227.311.117.419.24.72.55.84.8101.11.43.133.147.65.92.618.436.32.73.15128.16.35.102.84.95.1113.19.25.1252100669.310.417.511.25.1315.416.335.222.311.326.313.227.42.93.164.103.171.54.115.149.41876.43.1832.1539.57.78.46.52.1016.41368.514.310.54.1217.617.74.133.194.144.152082.113.202.126.64.162.1319.331.13.214.171086.74.182.145.154.1910.68.64.20558754.110.71217.811.46.816.515.528.518.59.612511.514.424.43.223.234.213.241.65.164.228.722.45.173.2535.358.39.77.810.87.92.1513.32.168.819.412.16.9308290281503196498962.1770856841242866911159036905343804.23287161.115977.1180.13885183873022042.18185262501470364264187.114090561.772.1140.1261378322267208.12434076143.26433326270193.1147711033.278.9165.15.183.28110.1185.120.1026.435.421.68.1041.136.428.658.440.117.911415633.626.533.717.1028.75.196525.237.120.118.1192202.113.419.537.234.519.68.1229.330.47844.121.737664819.779.195120.15924.5176128.2193.2101.249.1
0224405543148423151278433538231281606741432898163292423157681934331985691171414715339241793489114127126533211910715529134342372012111695732214516229744404124149066718443281101823228271677211413722105593171314711340231893489212125476391112753321191181522877424237211111070573220517731950434425149373762948291101813326271777319393722104780141212618335191583407910101110542718161071282468353530171095594727171411612924440412313886669270432712020035312917781116805454046402311811092118191537741222415862106141533181053324261492003291953545028141188169392111271464857761331518911189106512418626858514124121166361482913951032917221752102821261613701011616302111627222914922231520575757331811371693823521553184791008773411818810898282572917523253464124119345504728134084105293515335355633662863559382589810257996696375573851337938815927025127329828825623350403480389317281234242176165141912632852903303463364744965458341135235632427120322359678545281061733125271676916373621105489161413713340231683468812111211653120181181472827423935201110967543121
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