Overview

Dataset statistics

Number of variables26
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory237.6 B

Variable types

Text1
Numeric25

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000036

Alerts

AF007040000001 has unique valuesUnique
2.9634 has unique valuesUnique
53.053 has unique valuesUnique
27.55 has unique valuesUnique
94.52 has unique valuesUnique
422.877 has unique valuesUnique
353.21 has unique valuesUnique
352.325 has unique valuesUnique
23.4 has unique valuesUnique
0.9662 has unique valuesUnique
322.64 has unique valuesUnique
45.271 has unique valuesUnique
13.0002 has unique valuesUnique
7.2742 has unique valuesUnique
0.21 has 9 (31.0%) zerosZeros
46.69 has 1 (3.4%) zerosZeros
8.48 has 19 (65.5%) zerosZeros

Reproduction

Analysis started2023-12-10 06:57:31.370153
Analysis finished2023-12-10 06:57:31.731496
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007040000001
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:57:31.836132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length14
Min length14

Characters and Unicode

Total characters406
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowAF007040000003
2nd rowAF007040000004
3rd rowAF007040000165
4th rowAF007040000166
5th rowAF007040000167
ValueCountFrequency (%)
af007040000003 1
 
3.4%
af007040000173 1
 
3.4%
af007040000185 1
 
3.4%
af007040000184 1
 
3.4%
af007040000183 1
 
3.4%
af007040000182 1
 
3.4%
af007040000181 1
 
3.4%
af007040000180 1
 
3.4%
af007040000179 1
 
3.4%
af007040000178 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T15:57:32.118747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 219
53.9%
7 42
 
10.3%
4 32
 
7.9%
A 29
 
7.1%
F 29
 
7.1%
1 24
 
5.9%
8 10
 
2.5%
6 9
 
2.2%
5 4
 
1.0%
3 3
 
0.7%
Other values (2) 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
85.7%
Uppercase Letter 58
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 219
62.9%
7 42
 
12.1%
4 32
 
9.2%
1 24
 
6.9%
8 10
 
2.9%
6 9
 
2.6%
5 4
 
1.1%
3 3
 
0.9%
2 3
 
0.9%
9 2
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
A 29
50.0%
F 29
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
85.7%
Latin 58
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 219
62.9%
7 42
 
12.1%
4 32
 
9.2%
1 24
 
6.9%
8 10
 
2.9%
6 9
 
2.6%
5 4
 
1.1%
3 3
 
0.9%
2 3
 
0.9%
9 2
 
0.6%
Latin
ValueCountFrequency (%)
A 29
50.0%
F 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 406
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 219
53.9%
7 42
 
10.3%
4 32
 
7.9%
A 29
 
7.1%
F 29
 
7.1%
1 24
 
5.9%
8 10
 
2.5%
6 9
 
2.2%
5 4
 
1.0%
3 3
 
0.7%
Other values (2) 5
 
1.2%

159.1
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.45586
Minimum54.5
Maximum345.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:32.227794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.5
5-th percentile76
Q1116
median136.1
Q3159
95-th percentile212.26
Maximum345.6
Range291.1
Interquartile range (IQR)43

Descriptive statistics

Standard deviation55.818885
Coefficient of variation (CV)0.38375136
Kurtosis4.8764204
Mean145.45586
Median Absolute Deviation (MAD)22.9
Skewness1.6054874
Sum4218.22
Variance3115.7479
MonotonicityNot monotonic
2023-12-10T15:57:32.327937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
205.0 2
 
6.9%
131.72 1
 
3.4%
141.0 1
 
3.4%
91.0 1
 
3.4%
180.0 1
 
3.4%
201.0 1
 
3.4%
345.6 1
 
3.4%
136.0 1
 
3.4%
66.0 1
 
3.4%
151.0 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
54.5 1
3.4%
66.0 1
3.4%
91.0 1
3.4%
97.5 1
3.4%
101.0 1
3.4%
104.0 1
3.4%
106.0 1
3.4%
116.0 1
3.4%
117.5 1
3.4%
121.0 1
3.4%
ValueCountFrequency (%)
345.6 1
3.4%
217.1 1
3.4%
205.0 2
6.9%
201.0 1
3.4%
189.0 1
3.4%
180.0 1
3.4%
159.0 1
3.4%
155.0 1
3.4%
151.0 1
3.4%
149.2 1
3.4%

0.21
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.249
Minimum0
Maximum1.71
Zeros9
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:32.439998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.121
Q30.21
95-th percentile1.284
Maximum1.71
Range1.71
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.42186897
Coefficient of variation (CV)1.6942529
Kurtosis6.8560649
Mean0.249
Median Absolute Deviation (MAD)0.121
Skewness2.6871169
Sum7.221
Variance0.17797343
MonotonicityNot monotonic
2023-12-10T15:57:32.538119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 9
31.0%
0.21 6
20.7%
0.116 3
 
10.3%
0.005 2
 
6.9%
1.5 1
 
3.4%
0.121 1
 
3.4%
1.71 1
 
3.4%
0.96 1
 
3.4%
0.2 1
 
3.4%
0.352 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 9
31.0%
0.005 2
 
6.9%
0.116 3
 
10.3%
0.121 1
 
3.4%
0.189 1
 
3.4%
0.2 1
 
3.4%
0.21 6
20.7%
0.245 1
 
3.4%
0.326 1
 
3.4%
0.352 1
 
3.4%
ValueCountFrequency (%)
1.71 1
 
3.4%
1.5 1
 
3.4%
0.96 1
 
3.4%
0.352 1
 
3.4%
0.326 1
 
3.4%
0.245 1
 
3.4%
0.21 6
20.7%
0.2 1
 
3.4%
0.189 1
 
3.4%
0.121 1
 
3.4%

2.9634
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6467382
Minimum0.646
Maximum3.92745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:32.640833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.646
5-th percentile1.3538
Q12.493
median2.744
Q32.9634
95-th percentile3.6876
Maximum3.92745
Range3.28145
Interquartile range (IQR)0.4704

Descriptive statistics

Standard deviation0.70691435
Coefficient of variation (CV)0.26708888
Kurtosis1.6840792
Mean2.6467382
Median Absolute Deviation (MAD)0.251
Skewness-0.92733537
Sum76.755408
Variance0.4997279
MonotonicityNot monotonic
2023-12-10T15:57:32.761532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1.951248 1
 
3.4%
3.92745 1
 
3.4%
2.515 1
 
3.4%
2.824 1
 
3.4%
2.726 1
 
3.4%
3.746 1
 
3.4%
2.91913 1
 
3.4%
2.811 1
 
3.4%
1.145 1
 
3.4%
2.61 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.646 1
3.4%
1.145 1
3.4%
1.667 1
3.4%
1.703 1
3.4%
1.951248 1
3.4%
2.397 1
3.4%
2.484 1
3.4%
2.493 1
3.4%
2.49615 1
3.4%
2.515 1
3.4%
ValueCountFrequency (%)
3.92745 1
3.4%
3.746 1
3.4%
3.6 1
3.4%
3.2384 1
3.4%
3.224 1
3.4%
3.15503 1
3.4%
3.1026 1
3.4%
2.9634 1
3.4%
2.91913 1
3.4%
2.889 1
3.4%

22.195
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9885334
Minimum0.35
Maximum26.3246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:32.874751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.35
5-th percentile0.485
Q14.5
median9.595
Q316.886
95-th percentile22.463
Maximum26.3246
Range25.9746
Interquartile range (IQR)12.386

Descriptive statistics

Standard deviation7.7221791
Coefficient of variation (CV)0.77310439
Kurtosis-0.9176349
Mean9.9885334
Median Absolute Deviation (MAD)5.8302
Skewness0.51685157
Sum289.66747
Variance59.63205
MonotonicityNot monotonic
2023-12-10T15:57:32.975480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1.475 2
 
6.9%
10.712 2
 
6.9%
20.55023 1
 
3.4%
16.886 1
 
3.4%
0.35 1
 
3.4%
17.366 1
 
3.4%
21.866 1
 
3.4%
9.94404 1
 
3.4%
4.825 1
 
3.4%
5.412 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.35 1
3.4%
0.475 1
3.4%
0.5 1
3.4%
1.475 2
6.9%
1.825 1
3.4%
3.7648 1
3.4%
4.5 1
3.4%
4.578 1
3.4%
4.825 1
3.4%
5.082 1
3.4%
ValueCountFrequency (%)
26.3246 1
3.4%
22.861 1
3.4%
21.866 1
3.4%
20.55023 1
3.4%
19.93 1
3.4%
17.496 1
3.4%
17.366 1
3.4%
16.886 1
3.4%
15.21 1
3.4%
12.8208 1
3.4%

0.15352
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15812009
Minimum0.07203
Maximum0.427096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:33.078286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.07203
5-th percentile0.088148
Q10.12252
median0.1448
Q30.19122
95-th percentile0.22839
Maximum0.427096
Range0.355066
Interquartile range (IQR)0.0687

Descriptive statistics

Standard deviation0.066608379
Coefficient of variation (CV)0.42125184
Kurtosis8.8634333
Mean0.15812009
Median Absolute Deviation (MAD)0.03266
Skewness2.4025334
Sum4.5854827
Variance0.0044366762
MonotonicityNot monotonic
2023-12-10T15:57:33.195848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.1228 2
 
6.9%
0.1945967 1
 
3.4%
0.1658 1
 
3.4%
0.1341 1
 
3.4%
0.1898 1
 
3.4%
0.1569 1
 
3.4%
0.2016 1
 
3.4%
0.427096 1
 
3.4%
0.1448 1
 
3.4%
0.08942 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.07203 1
3.4%
0.0873 1
3.4%
0.08942 1
3.4%
0.1 1
3.4%
0.11214 1
3.4%
0.1146 1
3.4%
0.12052 1
3.4%
0.12252 1
3.4%
0.12266 1
3.4%
0.1228 2
6.9%
ValueCountFrequency (%)
0.427096 1
3.4%
0.24045 1
3.4%
0.2103 1
3.4%
0.2016 1
3.4%
0.19766 1
3.4%
0.1958 1
3.4%
0.1945967 1
3.4%
0.19122 1
3.4%
0.1898 1
3.4%
0.1844 1
3.4%

0.22544
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25294096
Minimum0.09057
Maximum0.528356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:33.327160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.09057
5-th percentile0.172184
Q10.22264
median0.2399
Q30.2811
95-th percentile0.34012
Maximum0.528356
Range0.437786
Interquartile range (IQR)0.05846

Descriptive statistics

Standard deviation0.073988231
Coefficient of variation (CV)0.29251186
Kurtosis6.5437022
Mean0.25294096
Median Absolute Deviation (MAD)0.0265
Skewness1.6094769
Sum7.3352878
Variance0.0054742583
MonotonicityNot monotonic
2023-12-10T15:57:33.429138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.2252 2
 
6.9%
0.2542318 1
 
3.4%
0.2302 1
 
3.4%
0.2857 1
 
3.4%
0.3239 1
 
3.4%
0.528356 1
 
3.4%
0.2438 1
 
3.4%
0.16764 1
 
3.4%
0.2399 1
 
3.4%
0.22264 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.09057 1
3.4%
0.16764 1
3.4%
0.179 1
3.4%
0.2 1
3.4%
0.20744 1
3.4%
0.2134 1
3.4%
0.2138 1
3.4%
0.22264 1
3.4%
0.2252 2
6.9%
0.2272 1
3.4%
ValueCountFrequency (%)
0.528356 1
3.4%
0.3422 1
3.4%
0.337 1
3.4%
0.3239 1
3.4%
0.29891 1
3.4%
0.2922 1
3.4%
0.2857 1
3.4%
0.2811 1
3.4%
0.26928 1
3.4%
0.2604 1
3.4%

0.1639
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.12178774
Minimum0.0056
Maximum0.35948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:33.530496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.0056
5-th percentile0.00984
Q10.039205
median0.081
Q30.1854
95-th percentile0.27972
Maximum0.35948
Range0.35388
Interquartile range (IQR)0.146195

Descriptive statistics

Standard deviation0.1026569
Coefficient of variation (CV)0.84291654
Kurtosis-0.68027754
Mean0.12178774
Median Absolute Deviation (MAD)0.0612
Skewness0.72357967
Sum3.5318444
Variance0.010538439
MonotonicityNot monotonic
2023-12-10T15:57:33.644397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.042805 2
 
6.9%
0.2558494 1
 
3.4%
0.2326 1
 
3.4%
0.03495 1
 
3.4%
0.2772 1
 
3.4%
0.0342 1
 
3.4%
0.2814 1
 
3.4%
0.35948 1
 
3.4%
0.081 1
 
3.4%
0.0094 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.0056 1
3.4%
0.0094 1
3.4%
0.0105 1
3.4%
0.0175 1
3.4%
0.0255 1
3.4%
0.0342 1
3.4%
0.03495 1
3.4%
0.039205 1
3.4%
0.0406 1
3.4%
0.042805 2
6.9%
ValueCountFrequency (%)
0.35948 1
3.4%
0.2814 1
3.4%
0.2772 1
3.4%
0.2702 1
3.4%
0.2558494 1
3.4%
0.2501 1
3.4%
0.2326 1
3.4%
0.1854 1
3.4%
0.1698 1
3.4%
0.1639 1
3.4%

53.053
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.311409
Minimum10.022
Maximum105.253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:33.759183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.022
5-th percentile21.7256
Q132.383
median44.863
Q360.818
95-th percentile94.97816
Maximum105.253
Range95.231
Interquartile range (IQR)28.435

Descriptive statistics

Standard deviation22.772605
Coefficient of variation (CV)0.4618121
Kurtosis0.53792576
Mean49.311409
Median Absolute Deviation (MAD)14.38
Skewness0.82210661
Sum1430.0309
Variance518.59154
MonotonicityNot monotonic
2023-12-10T15:57:33.856520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
61.0006 1
 
3.4%
100.337 1
 
3.4%
29.283 1
 
3.4%
52.838 1
 
3.4%
41.968 1
 
3.4%
68.158 1
 
3.4%
73.30635 1
 
3.4%
49.148 1
 
3.4%
20.364 1
 
3.4%
43.058 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
10.022 1
3.4%
20.364 1
3.4%
23.768 1
3.4%
29.158 1
3.4%
29.283 1
3.4%
30.483 1
3.4%
31.858 1
3.4%
32.383 1
3.4%
32.442 1
3.4%
33.842 1
3.4%
ValueCountFrequency (%)
105.253 1
3.4%
100.337 1
3.4%
86.9399 1
3.4%
73.30635 1
3.4%
71.823 1
3.4%
68.158 1
3.4%
61.0006 1
3.4%
60.818 1
3.4%
60.05 1
3.4%
53.538 1
3.4%

27.55
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.1383
Minimum16.14
Maximum175.891
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:33.943754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.14
5-th percentile20.54
Q134.65
median45.79
Q376.45
95-th percentile135.38
Maximum175.891
Range159.751
Interquartile range (IQR)41.8

Descriptive statistics

Standard deviation39.135296
Coefficient of variation (CV)0.64011097
Kurtosis1.6852851
Mean61.1383
Median Absolute Deviation (MAD)17.96
Skewness1.3840407
Sum1773.0107
Variance1531.5714
MonotonicityNot monotonic
2023-12-10T15:57:34.043864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
53.4497 1
 
3.4%
38.685 1
 
3.4%
76.45 1
 
3.4%
48.05 1
 
3.4%
72.5 1
 
3.4%
78.14 1
 
3.4%
175.891 1
 
3.4%
42.25 1
 
3.4%
16.64 1
 
3.4%
74.64 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
16.14 1
3.4%
16.64 1
3.4%
26.39 1
3.4%
27.4 1
3.4%
30.65 1
3.4%
31.15 1
3.4%
33.62 1
3.4%
34.65 1
3.4%
35.19 1
3.4%
36.25 1
3.4%
ValueCountFrequency (%)
175.891 1
3.4%
148.54 1
3.4%
115.64 1
3.4%
113.84 1
3.4%
100.83 1
3.4%
91.1 1
3.4%
78.14 1
3.4%
76.45 1
3.4%
74.64 1
3.4%
72.5 1
3.4%

94.52
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.21056
Minimum44.66
Maximum362.142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:34.151113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44.66
5-th percentile53.216
Q1104.51
median129.635
Q3164.77
95-th percentile240.01
Maximum362.142
Range317.482
Interquartile range (IQR)60.26

Descriptive statistics

Standard deviation69.312335
Coefficient of variation (CV)0.5014981
Kurtosis2.5699898
Mean138.21056
Median Absolute Deviation (MAD)35.135
Skewness1.2522826
Sum4008.1063
Variance4804.1997
MonotonicityNot monotonic
2023-12-10T15:57:34.248325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
122.3643 1
 
3.4%
141.155 1
 
3.4%
138.41 1
 
3.4%
205.22 1
 
3.4%
166.02 1
 
3.4%
223.47 1
 
3.4%
362.142 1
 
3.4%
66.66 1
 
3.4%
44.66 1
 
3.4%
164.77 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
44.66 1
3.4%
49.92 1
3.4%
58.16 1
3.4%
61.96 1
3.4%
66.66 1
3.4%
68.6 1
3.4%
75.62 1
3.4%
104.51 1
3.4%
109.47 1
3.4%
111.06 1
3.4%
ValueCountFrequency (%)
362.142 1
3.4%
246.87 1
3.4%
229.72 1
3.4%
223.47 1
3.4%
205.22 1
3.4%
191.32 1
3.4%
166.02 1
3.4%
164.77 1
3.4%
158.97 1
3.4%
158.66 1
3.4%

422.877
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean602.30836
Minimum228.935
Maximum2166.8555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:34.348758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum228.935
5-th percentile294.652
Q1444.98
median494.297
Q3595.58
95-th percentile1106.462
Maximum2166.8555
Range1937.9205
Interquartile range (IQR)150.6

Descriptive statistics

Standard deviation365.18468
Coefficient of variation (CV)0.60630851
Kurtosis12.010193
Mean602.30836
Median Absolute Deviation (MAD)84.663
Skewness3.1049477
Sum17466.942
Variance133359.85
MonotonicityNot monotonic
2023-12-10T15:57:34.461055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
548.4808 1
 
3.4%
470.567 1
 
3.4%
502.63 1
 
3.4%
1138.61 1
 
3.4%
719.66 1
 
3.4%
578.96 1
 
3.4%
2166.8555 1
 
3.4%
444.98 1
 
3.4%
259.5 1
 
3.4%
446.06 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
228.935 1
3.4%
259.5 1
3.4%
347.38 1
3.4%
371.055 1
3.4%
386.79 1
3.4%
421.4 1
3.4%
426.937 1
3.4%
444.98 1
3.4%
446.06 1
3.4%
455.574 1
3.4%
ValueCountFrequency (%)
2166.8555 1
3.4%
1138.61 1
3.4%
1058.24 1
3.4%
872.34 1
3.4%
791.062 1
3.4%
719.66 1
3.4%
689.86 1
3.4%
595.58 1
3.4%
585.88 1
3.4%
578.96 1
3.4%

353.21
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean641.09655
Minimum127.92
Maximum2189.35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:34.580194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.92
5-th percentile293.16
Q1365.15
median546.23
Q3707.32
95-th percentile1466.716
Maximum2189.35
Range2061.43
Interquartile range (IQR)342.17

Descriptive statistics

Standard deviation429.77305
Coefficient of variation (CV)0.6703718
Kurtosis5.5948489
Mean641.09655
Median Absolute Deviation (MAD)181.08
Skewness2.1737403
Sum18591.8
Variance184704.87
MonotonicityNot monotonic
2023-12-10T15:57:34.695370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
546.23 1
 
3.4%
680.65 1
 
3.4%
327.83 1
 
3.4%
941.22 1
 
3.4%
707.32 1
 
3.4%
1288.0 1
 
3.4%
2189.35 1
 
3.4%
619.53 1
 
3.4%
127.92 1
 
3.4%
796.6 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
127.92 1
3.4%
291.86 1
3.4%
295.11 1
3.4%
312.93 1
3.4%
327.83 1
3.4%
333.48 1
3.4%
350.42 1
3.4%
365.15 1
3.4%
380.43 1
3.4%
400.72 1
3.4%
ValueCountFrequency (%)
2189.35 1
3.4%
1585.86 1
3.4%
1288.0 1
3.4%
999.67 1
3.4%
941.22 1
3.4%
796.6 1
3.4%
754.85 1
3.4%
707.32 1
3.4%
680.65 1
3.4%
619.53 1
3.4%

352.325
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.92571
Minimum71.94
Maximum600.3985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:34.806736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum71.94
5-th percentile91.94
Q1165.95
median213.61
Q3293.325
95-th percentile535.531
Maximum600.3985
Range528.4585
Interquartile range (IQR)127.375

Descriptive statistics

Standard deviation133.24812
Coefficient of variation (CV)0.54851385
Kurtosis1.4756296
Mean242.92571
Median Absolute Deviation (MAD)51.902
Skewness1.2779871
Sum7044.8455
Variance17755.06
MonotonicityNot monotonic
2023-12-10T15:57:34.931014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
265.512 1
 
3.4%
349.99 1
 
3.4%
102.05 1
 
3.4%
363.63 1
 
3.4%
210.28 1
 
3.4%
488.44 1
 
3.4%
600.3985 1
 
3.4%
165.95 1
 
3.4%
85.2 1
 
3.4%
232.64 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
71.94 1
3.4%
85.2 1
3.4%
102.05 1
3.4%
110.15 1
3.4%
111.95 1
3.4%
114.55 1
3.4%
165.08 1
3.4%
165.95 1
3.4%
172.7 1
3.4%
176.035 1
3.4%
ValueCountFrequency (%)
600.3985 1
3.4%
566.925 1
3.4%
488.44 1
3.4%
363.63 1
3.4%
349.99 1
3.4%
340.18 1
3.4%
333.24 1
3.4%
293.325 1
3.4%
265.512 1
3.4%
260.01 1
3.4%

23.4
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.279828
Minimum10.33
Maximum64.736
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:35.052771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.33
5-th percentile10.972
Q114.5
median16.75
Q319.489
95-th percentile34.116
Maximum64.736
Range54.406
Interquartile range (IQR)4.989

Descriptive statistics

Standard deviation10.366358
Coefficient of variation (CV)0.53767897
Kurtosis13.491756
Mean19.279828
Median Absolute Deviation (MAD)2.51
Skewness3.3515499
Sum559.115
Variance107.46138
MonotonicityNot monotonic
2023-12-10T15:57:35.171038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
19.489 1
 
3.4%
24.4 1
 
3.4%
14.24 1
 
3.4%
21.65 1
 
3.4%
17.1 1
 
3.4%
31.05 1
 
3.4%
64.736 1
 
3.4%
12.24 1
 
3.4%
10.82 1
 
3.4%
19.55 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
10.33 1
3.4%
10.82 1
3.4%
11.2 1
3.4%
12.24 1
3.4%
12.64 1
3.4%
13.14 1
3.4%
14.24 1
3.4%
14.5 1
3.4%
15.14 1
3.4%
15.85 1
3.4%
ValueCountFrequency (%)
64.736 1
3.4%
36.16 1
3.4%
31.05 1
3.4%
24.4 1
3.4%
22.18 1
3.4%
21.65 1
3.4%
19.55 1
3.4%
19.489 1
3.4%
19.18 1
3.4%
18.35 1
3.4%

0.9662
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2226217
Minimum0.2897
Maximum3.12998
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:35.298000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.2897
5-th percentile0.3972
Q10.705
median1.049
Q31.5363
95-th percentile2.99308
Maximum3.12998
Range2.84028
Interquartile range (IQR)0.8313

Descriptive statistics

Standard deviation0.75661081
Coefficient of variation (CV)0.61884293
Kurtosis1.4070601
Mean1.2226217
Median Absolute Deviation (MAD)0.349
Skewness1.3508917
Sum35.45603
Variance0.57245992
MonotonicityNot monotonic
2023-12-10T15:57:35.407294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
3.12998 1
 
3.4%
1.6407 1
 
3.4%
0.646 1
 
3.4%
1.919 1
 
3.4%
0.812 1
 
3.4%
1.337 1
 
3.4%
2.88265 1
 
3.4%
1.22 1
 
3.4%
0.364 1
 
3.4%
1.049 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.2897 1
3.4%
0.364 1
3.4%
0.447 1
3.4%
0.5665 1
3.4%
0.646 1
3.4%
0.6605 1
3.4%
0.7 1
3.4%
0.705 1
3.4%
0.728 1
3.4%
0.7864 1
3.4%
ValueCountFrequency (%)
3.12998 1
3.4%
3.0667 1
3.4%
2.88265 1
3.4%
1.919 1
3.4%
1.784 1
3.4%
1.725 1
3.4%
1.6407 1
3.4%
1.5363 1
3.4%
1.347 1
3.4%
1.337 1
3.4%

46.69
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.191483
Minimum0
Maximum261.69
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:35.522088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.93
Q131.44
median46.69
Q363.12
95-th percentile198.74
Maximum261.69
Range261.69
Interquartile range (IQR)31.68

Descriptive statistics

Standard deviation59.277179
Coefficient of variation (CV)0.95313982
Kurtosis5.5027537
Mean62.191483
Median Absolute Deviation (MAD)16.43
Skewness2.3214948
Sum1803.553
Variance3513.7839
MonotonicityNot monotonic
2023-12-10T15:57:35.633162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
46.69 5
 
17.2%
63.12 2
 
6.9%
25.2 1
 
3.4%
47.34 1
 
3.4%
58.44 1
 
3.4%
32.436 1
 
3.4%
42.936 1
 
3.4%
115.629 1
 
3.4%
0.0 1
 
3.4%
31.44 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
0.0 1
3.4%
7.59 1
3.4%
13.44 1
3.4%
19.086 1
3.4%
20.822 1
3.4%
24.936 1
3.4%
25.2 1
3.4%
31.44 1
3.4%
32.436 1
3.4%
42.936 1
3.4%
ValueCountFrequency (%)
261.69 1
3.4%
228.44 1
3.4%
154.19 1
3.4%
115.629 1
3.4%
70.62 1
3.4%
66.538 1
3.4%
65.104 1
3.4%
63.12 2
6.9%
58.44 1
3.4%
58.186 1
3.4%

2.7224
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6788774
Minimum1.437
Maximum8.62099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:35.748815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.437
5-th percentile1.6449931
Q12.7
median3.1664667
Q34.5512
95-th percentile6.2896
Maximum8.62099
Range7.18399
Interquartile range (IQR)1.8512

Descriptive statistics

Standard deviation1.5999927
Coefficient of variation (CV)0.43491329
Kurtosis1.9425033
Mean3.6788774
Median Absolute Deviation (MAD)0.71793333
Skewness1.1982972
Sum106.68745
Variance2.5599766
MonotonicityNot monotonic
2023-12-10T15:57:35.868566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2.7164 2
 
6.9%
1.4376551 1
 
3.4%
2.4906 1
 
3.4%
4.9092 1
 
3.4%
2.5002 1
 
3.4%
5.7172 1
 
3.4%
6.6712 1
 
3.4%
8.62099 1
 
3.4%
2.7114 1
 
3.4%
1.437 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
1.437 1
3.4%
1.4376551 1
3.4%
1.956 1
3.4%
2.4906 1
3.4%
2.5002 1
3.4%
2.5016 1
3.4%
2.5466 1
3.4%
2.7 1
3.4%
2.7114 1
3.4%
2.7124 1
3.4%
ValueCountFrequency (%)
8.62099 1
3.4%
6.6712 1
3.4%
5.7172 1
3.4%
5.4984 1
3.4%
4.9092 1
3.4%
4.8836 1
3.4%
4.6557 1
3.4%
4.5512 1
3.4%
4.4144 1
3.4%
4.298466667 1
3.4%

0.075
Real number (ℝ)

Distinct9
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.089562586
Minimum0.075
Maximum0.184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:36.004411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.075
5-th percentile0.075
Q10.075
median0.075
Q30.103
95-th percentile0.1432
Maximum0.184
Range0.109
Interquartile range (IQR)0.028

Descriptive statistics

Standard deviation0.0267302
Coefficient of variation (CV)0.29845275
Kurtosis6.0649754
Mean0.089562586
Median Absolute Deviation (MAD)0
Skewness2.4049984
Sum2.597315
Variance0.00071450359
MonotonicityNot monotonic
2023-12-10T15:57:36.112113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.075 18
62.1%
0.103 4
 
13.8%
0.115 1
 
3.4%
0.184 1
 
3.4%
0.162 1
 
3.4%
0.1 1
 
3.4%
0.091 1
 
3.4%
0.108 1
 
3.4%
0.075315 1
 
3.4%
ValueCountFrequency (%)
0.075 18
62.1%
0.075315 1
 
3.4%
0.091 1
 
3.4%
0.1 1
 
3.4%
0.103 4
 
13.8%
0.108 1
 
3.4%
0.115 1
 
3.4%
0.162 1
 
3.4%
0.184 1
 
3.4%
ValueCountFrequency (%)
0.184 1
 
3.4%
0.162 1
 
3.4%
0.115 1
 
3.4%
0.108 1
 
3.4%
0.103 4
 
13.8%
0.1 1
 
3.4%
0.091 1
 
3.4%
0.075315 1
 
3.4%
0.075 18
62.1%

322.64
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.93525
Minimum113.045
Maximum640.2555
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:36.233764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum113.045
5-th percentile169.976
Q1288.95
median304.5
Q3364.62
95-th percentile436.524
Maximum640.2555
Range527.2105
Interquartile range (IQR)75.67

Descriptive statistics

Standard deviation101.36651
Coefficient of variation (CV)0.31782786
Kurtosis2.7469809
Mean318.93525
Median Absolute Deviation (MAD)41.78
Skewness0.80227539
Sum9249.1222
Variance10275.169
MonotonicityNot monotonic
2023-12-10T15:57:36.365047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
213.6367 1
 
3.4%
364.62 1
 
3.4%
288.95 1
 
3.4%
423.53 1
 
3.4%
332.07 1
 
3.4%
394.17 1
 
3.4%
640.2555 1
 
3.4%
308.2 1
 
3.4%
143.74 1
 
3.4%
289.07 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
113.045 1
3.4%
143.74 1
3.4%
209.33 1
3.4%
213.115 1
3.4%
213.6367 1
3.4%
261.915 1
3.4%
262.72 1
3.4%
288.95 1
3.4%
289.07 1
3.4%
295.88 1
3.4%
ValueCountFrequency (%)
640.2555 1
3.4%
439.68 1
3.4%
431.79 1
3.4%
424.44 1
3.4%
423.53 1
3.4%
411.96 1
3.4%
394.17 1
3.4%
364.62 1
3.4%
335.79 1
3.4%
332.07 1
3.4%

45.271
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.188073
Minimum5.1229
Maximum66.8412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:36.748603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1229
5-th percentile26.4894
Q128.922
median31.606
Q334.123
95-th percentile53.37013
Maximum66.8412
Range61.7183
Interquartile range (IQR)5.201

Descriptive statistics

Standard deviation10.689872
Coefficient of variation (CV)0.32209982
Kurtosis5.3940706
Mean33.188073
Median Absolute Deviation (MAD)2.684
Skewness1.2245063
Sum962.45412
Variance114.27337
MonotonicityNot monotonic
2023-12-10T15:57:36.868234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
28.159072 1
 
3.4%
29.053 1
 
3.4%
30.3595 1
 
3.4%
33.822 1
 
3.4%
31.606 1
 
3.4%
32.486 1
 
3.4%
61.68955 1
 
3.4%
34.123 1
 
3.4%
25.871 1
 
3.4%
29.338 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
5.1229 1
3.4%
25.871 1
3.4%
27.417 1
3.4%
28.108 1
3.4%
28.159072 1
3.4%
28.338 1
3.4%
28.712 1
3.4%
28.922 1
3.4%
28.965 1
3.4%
29.053 1
3.4%
ValueCountFrequency (%)
66.8412 1
3.4%
61.68955 1
3.4%
40.891 1
3.4%
40.836 1
3.4%
40.0 1
3.4%
36.407 1
3.4%
35.479 1
3.4%
34.123 1
3.4%
33.822 1
3.4%
33.638 1
3.4%

8.48
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3682759
Minimum0
Maximum8.48
Zeros19
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:36.984240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.84
95-th percentile8.48
Maximum8.48
Range8.48
Interquartile range (IQR)0.84

Descriptive statistics

Standard deviation2.9339418
Coefficient of variation (CV)2.1442619
Kurtosis2.8029256
Mean1.3682759
Median Absolute Deviation (MAD)0
Skewness2.1082026
Sum39.68
Variance8.6080148
MonotonicityNot monotonic
2023-12-10T15:57:37.093964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 19
65.5%
8.48 4
 
13.8%
1.08 2
 
6.9%
0.84 1
 
3.4%
0.4 1
 
3.4%
2.1 1
 
3.4%
0.26 1
 
3.4%
ValueCountFrequency (%)
0.0 19
65.5%
0.26 1
 
3.4%
0.4 1
 
3.4%
0.84 1
 
3.4%
1.08 2
 
6.9%
2.1 1
 
3.4%
8.48 4
 
13.8%
ValueCountFrequency (%)
8.48 4
 
13.8%
2.1 1
 
3.4%
1.08 2
 
6.9%
0.84 1
 
3.4%
0.4 1
 
3.4%
0.26 1
 
3.4%
0.0 19
65.5%

13.0002
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.70737
Minimum2.4662
Maximum31.781395
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:37.205935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4662
5-th percentile5.1814488
Q113.0002
median15.821
Q318.281
95-th percentile24.0172
Maximum31.781395
Range29.315195
Interquartile range (IQR)5.2808

Descriptive statistics

Standard deviation6.5892093
Coefficient of variation (CV)0.41949793
Kurtosis0.2554182
Mean15.70737
Median Absolute Deviation (MAD)2.8208
Skewness0.083100971
Sum455.51374
Variance43.41768
MonotonicityNot monotonic
2023-12-10T15:57:37.337411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
4.978748 1
 
3.4%
22.5065 1
 
3.4%
14.71 1
 
3.4%
22.736 1
 
3.4%
18.017 1
 
3.4%
23.016 1
 
3.4%
31.781395 1
 
3.4%
15.845 1
 
3.4%
2.4662 1
 
3.4%
13.982 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
2.4662 1
3.4%
4.978748 1
3.4%
5.4855 1
3.4%
6.6635 1
3.4%
7.5641 1
3.4%
10.2035 1
3.4%
13.0 1
3.4%
13.0002 1
3.4%
13.064 1
3.4%
13.974 1
3.4%
ValueCountFrequency (%)
31.781395 1
3.4%
24.268 1
3.4%
23.641 1
3.4%
23.037 1
3.4%
23.016 1
3.4%
22.736 1
3.4%
22.5065 1
3.4%
18.281 1
3.4%
18.017 1
3.4%
17.3487 1
3.4%

7.2742
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.410044
Minimum4.6822
Maximum26.574625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:37.475266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6822
5-th percentile6.14876
Q17.883
median10.256
Q312.3995
95-th percentile21.1588
Maximum26.574625
Range21.892425
Interquartile range (IQR)4.5165

Descriptive statistics

Standard deviation5.2779342
Coefficient of variation (CV)0.46256914
Kurtosis1.3838069
Mean11.410044
Median Absolute Deviation (MAD)2.373
Skewness1.3285639
Sum330.89128
Variance27.85659
MonotonicityNot monotonic
2023-12-10T15:57:37.603612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
14.36195 1
 
3.4%
11.7365 1
 
3.4%
8.592 1
 
3.4%
20.6065 1
 
3.4%
11.161 1
 
3.4%
15.459 1
 
3.4%
26.574625 1
 
3.4%
7.997 1
 
3.4%
4.6822 1
 
3.4%
11.655 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
4.6822 1
3.4%
6.0 1
3.4%
6.3719 1
3.4%
6.4342 1
3.4%
6.788 1
3.4%
7.727 1
3.4%
7.86 1
3.4%
7.883 1
3.4%
7.997 1
3.4%
8.0897 1
3.4%
ValueCountFrequency (%)
26.574625 1
3.4%
21.527 1
3.4%
20.6065 1
3.4%
20.232 1
3.4%
16.201 1
3.4%
15.459 1
3.4%
14.36195 1
3.4%
12.3995 1
3.4%
11.9161 1
3.4%
11.7365 1
3.4%

3.096
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8066669
Minimum0.525
Maximum4.662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:37.740236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.525
5-th percentile1.876
Q12.23
median2.676
Q33.3179
95-th percentile4.304716
Maximum4.662
Range4.137
Interquartile range (IQR)1.0879

Descriptive statistics

Standard deviation0.8546037
Coefficient of variation (CV)0.3044906
Kurtosis1.0569541
Mean2.8066669
Median Absolute Deviation (MAD)0.5013
Skewness-0.011305155
Sum81.39334
Variance0.73034748
MonotonicityNot monotonic
2023-12-10T15:57:37.868330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
2.817 2
 
6.9%
3.10955 1
 
3.4%
2.727 1
 
3.4%
1.915 1
 
3.4%
3.612 1
 
3.4%
4.407 1
 
3.4%
4.15129 1
 
3.4%
2.417 1
 
3.4%
2.106 1
 
3.4%
3.134 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.525 1
3.4%
1.85 1
3.4%
1.915 1
3.4%
1.98 1
3.4%
2.106 1
3.4%
2.17 1
3.4%
2.1747 1
3.4%
2.23 1
3.4%
2.417 1
3.4%
2.42 1
3.4%
ValueCountFrequency (%)
4.662 1
3.4%
4.407 1
3.4%
4.15129 1
3.4%
3.722 1
3.4%
3.612 1
3.4%
3.5899 1
3.4%
3.327 1
3.4%
3.3179 1
3.4%
3.134 1
3.4%
3.10955 1
3.4%

63.77666667
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.669759
Minimum2.8
Maximum160.61333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:57:37.980848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile13.51
Q114.331667
median41.383333
Q367.416667
95-th percentile124.4476
Maximum160.61333
Range157.81333
Interquartile range (IQR)53.085

Descriptive statistics

Standard deviation38.748418
Coefficient of variation (CV)0.78012093
Kurtosis1.3843404
Mean49.669759
Median Absolute Deviation (MAD)27.051667
Skewness1.2262288
Sum1440.423
Variance1501.4399
MonotonicityNot monotonic
2023-12-10T15:57:38.112260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
13.51 3
 
10.3%
14.33166667 2
 
6.9%
63.77666667 2
 
6.9%
37.63333333 2
 
6.9%
18.31 2
 
6.9%
72.75533333 1
 
3.4%
31.0 1
 
3.4%
44.86833333 1
 
3.4%
37.38333333 1
 
3.4%
41.38333333 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
2.8 1
 
3.4%
13.51 3
10.3%
13.98333333 1
 
3.4%
14.03166667 1
 
3.4%
14.33166667 2
6.9%
18.31 2
6.9%
31.0 1
 
3.4%
37.38333333 1
 
3.4%
37.63333333 2
6.9%
41.38333333 1
 
3.4%
ValueCountFrequency (%)
160.6133333 1
3.4%
134.2793333 1
3.4%
109.7 1
3.4%
99.02666667 1
3.4%
73.43666667 1
3.4%
72.75533333 1
3.4%
71.50166667 1
3.4%
67.41666667 1
3.4%
63.8 1
3.4%
63.77666667 2
6.9%

Sample

AF007040000001159.10.212.963422.1950.153520.225440.163953.05327.5594.52422.877353.21352.32523.40.966246.692.72240.075322.6445.2718.4813.00027.27423.09663.77666667
0AF007040000003131.720.01.95124820.550230.1945970.2542320.25584961.000653.4497122.3643548.4808546.23265.51219.4893.1299825.21.4376550.075213.636728.1590720.04.97874814.361953.1095572.755333
1AF007040000004145.61.53.927454.50.135050.3370.1698100.33738.685141.155470.567680.65349.9924.41.6407228.444.88360.075364.6229.0530.022.506511.73653.589973.436667
2AF00704000016554.50.1210.64615.210.072030.090570.03920510.022100.83109.47228.935333.48165.0810.330.289719.0862.8960670.115113.0455.12290.847.56416.37190.52514.031667
3AF007040000166117.50.0051.70312.82080.197660.269280.04280533.842115.64158.97530.055549.86260.0122.180.660520.8224.2984670.184261.91531.93641.0810.203510.97172.66514.331667
4AF00704000016797.50.0051.6673.76480.122660.238680.04280532.442113.84113.57371.055467.46213.6119.180.56657.593.1664670.162213.11530.75641.086.66358.08972.64514.331667
5AF007040000005143.21.713.155031.4750.112140.298910.0778586.939942.49140.22494.297400.72176.03516.91.5363261.694.14240.075323.57529.29710.017.348711.91612.1747134.279333
6AF007040000006149.20.963.23849.5950.122520.256940.135971.82335.19111.97490.674365.15219.9617.851.2064154.193.43040.075335.7940.8368.4815.17529.34422.60699.026667
7AF007040000007129.20.212.963411.3950.120520.207440.124944.86326.3975.62455.574295.11206.9616.50.786446.692.71640.075302.8440.8918.4813.00026.43422.67663.776667
8AF007040000008136.10.02.4961519.930.240450.26040.142260.0561.945129.635791.062754.85293.32516.73.066753.11.9560.075209.3328.1080.05.485512.39953.317971.501667
9AF007040000002124.00.23.66.00.10.20.142.327.468.6421.4291.86172.714.50.746.72.70.1298.040.08.4813.06.03.163.8
AF007040000001159.10.212.963422.1950.153520.225440.163953.05327.5594.52422.877353.21352.32523.40.966246.692.72240.075322.6445.2718.4813.00027.27423.09663.77666667
19AF007040000177205.00.03.22410.7120.19580.29220.270253.53891.1246.87689.86999.67340.1815.851.78470.624.65570.075439.6833.6380.024.26821.5273.72267.416667
20AF007040000178155.00.1162.88922.8610.152120.222640.040642.75833.62104.51500.32565.91225.116.690.8124.9363.76970.103295.8828.9650.016.50728.48423.13413.983333
21AF007040000179151.00.02.615.4120.1270.23990.185443.05874.64164.77446.06796.6232.6419.551.04931.444.55120.075289.0729.3380.013.98211.6552.81737.633333
22AF00704000018066.00.01.1451.4750.089420.167640.009420.36416.6444.66259.5127.9285.210.820.3640.01.4370.075143.7425.8710.02.46624.68222.10650.266667
23AF007040000181136.00.212.8114.8250.14480.24380.08149.14842.2566.66444.98619.53165.9512.241.2246.692.71140.075308.234.1232.115.8457.9972.41718.31
24AF007040000182345.60.1892.919139.944040.4270960.5283560.3594873.30635175.891362.1422166.85552189.35600.398564.7362.88265115.6298.620990.075315640.255561.689550.031.78139526.5746254.15129160.613333
25AF007040000183201.00.1163.74621.8660.20160.32390.281468.15878.14223.47578.961288.0488.4431.051.33742.9366.67120.103394.1732.4860.023.01615.4594.40741.383333
26AF007040000184180.00.1162.72617.3660.15690.22520.034241.96872.5166.02719.66707.32210.2817.10.81232.4365.71720.103332.0731.6060.018.01711.1612.81737.633333
27AF007040000185205.00.02.82410.7120.18980.28570.277252.83848.05205.221138.61941.22363.6321.651.91963.122.50020.075423.5333.8220.022.73620.60653.61237.383333
28AF00704000018691.00.2452.5150.350.13410.22520.0349529.28376.45138.41502.63327.83102.0514.240.64658.444.90920.075288.9530.35950.2614.718.5921.91544.868333