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=AFS00000000000000034

Alerts

AF007020000108 has unique valuesUnique
49.3 has unique valuesUnique
36 has unique valuesUnique
125.1 has unique valuesUnique
2162.4 has unique valuesUnique
406.94 has unique valuesUnique
372.2 has unique valuesUnique
463 has unique valuesUnique
3.134 has unique valuesUnique
11.3 has unique valuesUnique
0 has 13 (44.8%) zerosZeros
0.1 has 1 (3.4%) zerosZeros
0.4 has 1 (3.4%) zerosZeros
0.1.1 has 2 (6.9%) zerosZeros
0.2 has 4 (13.8%) zerosZeros
0.007 has 15 (51.7%) zerosZeros
9.8 has 12 (41.4%) zerosZeros

Reproduction

Analysis started2023-12-10 06:18:44.211274
Analysis finished2023-12-10 06:18:44.493753
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007020000108
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:18:44.815347image/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 rowAF007020000128
2nd rowAF007020000137
3rd rowAF007020000138
4th rowAF007020000139
5th rowAF007020000151
ValueCountFrequency (%)
af007020000128 1
 
3.4%
af007020000113 1
 
3.4%
af007020000119 1
 
3.4%
af007020000142 1
 
3.4%
af007020000147 1
 
3.4%
af007020000127 1
 
3.4%
af007020000118 1
 
3.4%
af007020000153 1
 
3.4%
af007020000131 1
 
3.4%
af007020000117 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T15:18:45.405605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 207
51.0%
1 43
 
10.6%
2 35
 
8.6%
7 33
 
8.1%
A 29
 
7.1%
F 29
 
7.1%
3 8
 
2.0%
4 8
 
2.0%
9 5
 
1.2%
5 4
 
1.0%
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 (%)
0 207
59.5%
1 43
 
12.4%
2 35
 
10.1%
7 33
 
9.5%
3 8
 
2.3%
4 8
 
2.3%
9 5
 
1.4%
5 4
 
1.1%
8 3
 
0.9%
6 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 (%)
0 207
59.5%
1 43
 
12.4%
2 35
 
10.1%
7 33
 
9.5%
3 8
 
2.3%
4 8
 
2.3%
9 5
 
1.4%
5 4
 
1.1%
8 3
 
0.9%
6 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 (%)
0 207
51.0%
1 43
 
10.6%
2 35
 
8.6%
7 33
 
8.1%
A 29
 
7.1%
F 29
 
7.1%
3 8
 
2.0%
4 8
 
2.0%
9 5
 
1.2%
5 4
 
1.0%
Other values (2) 5
 
1.2%

319
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean427.62759
Minimum144
Maximum589
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:45.637049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum144
5-th percentile154.82
Q1400
median449
Q3506
95-th percentile580
Maximum589
Range445
Interquartile range (IQR)106

Descriptive statistics

Standard deviation124.62087
Coefficient of variation (CV)0.29142383
Kurtosis0.53315243
Mean427.62759
Median Absolute Deviation (MAD)57
Skewness-1.0127326
Sum12401.2
Variance15530.361
MonotonicityNot monotonic
2023-12-10T15:18:45.943166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
458.0 2
 
6.9%
314.0 1
 
3.4%
482.0 1
 
3.4%
547.0 1
 
3.4%
441.0 1
 
3.4%
422.0 1
 
3.4%
537.5 1
 
3.4%
154.7 1
 
3.4%
446.0 1
 
3.4%
296.0 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
144.0 1
3.4%
154.7 1
3.4%
155.0 1
3.4%
284.0 1
3.4%
296.0 1
3.4%
314.0 1
3.4%
356.0 1
3.4%
400.0 1
3.4%
421.0 1
3.4%
422.0 1
3.4%
ValueCountFrequency (%)
589.0 1
3.4%
584.0 1
3.4%
574.0 1
3.4%
567.0 1
3.4%
547.0 1
3.4%
543.0 1
3.4%
537.5 1
3.4%
506.0 1
3.4%
482.0 1
3.4%
479.0 1
3.4%

0
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.47862069
Minimum0
Maximum2.8
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:46.139219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.14
Q30.8
95-th percentile1.34
Maximum2.8
Range2.8
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.62295221
Coefficient of variation (CV)1.3015572
Kurtosis5.7783793
Mean0.47862069
Median Absolute Deviation (MAD)0.14
Skewness1.9931947
Sum13.88
Variance0.38806946
MonotonicityNot monotonic
2023-12-10T15:18:46.399372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 13
44.8%
0.8 5
 
17.2%
0.75 4
 
13.8%
0.14 2
 
6.9%
0.6 2
 
6.9%
1.1 1
 
3.4%
2.8 1
 
3.4%
1.5 1
 
3.4%
ValueCountFrequency (%)
0.0 13
44.8%
0.14 2
 
6.9%
0.6 2
 
6.9%
0.75 4
 
13.8%
0.8 5
 
17.2%
1.1 1
 
3.4%
1.5 1
 
3.4%
2.8 1
 
3.4%
ValueCountFrequency (%)
2.8 1
 
3.4%
1.5 1
 
3.4%
1.1 1
 
3.4%
0.8 5
 
17.2%
0.75 4
 
13.8%
0.6 2
 
6.9%
0.14 2
 
6.9%
0.0 13
44.8%

1.6
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6493145
Minimum0.135
Maximum10.889
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:46.613636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.135
5-th percentile0.3
Q10.75407
median1.2
Q33.1
95-th percentile9.7014
Maximum10.889
Range10.754
Interquartile range (IQR)2.34593

Descriptive statistics

Standard deviation3.1510267
Coefficient of variation (CV)1.1893743
Kurtosis1.6311121
Mean2.6493145
Median Absolute Deviation (MAD)0.6
Skewness1.6714555
Sum76.83012
Variance9.9289692
MonotonicityNot monotonic
2023-12-10T15:18:46.852449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0.3 2
 
6.9%
8.4 1
 
3.4%
0.7 1
 
3.4%
0.83 1
 
3.4%
1.17 1
 
3.4%
0.47 1
 
3.4%
8.079 1
 
3.4%
1.728 1
 
3.4%
0.90407 1
 
3.4%
10.569 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.135 1
3.4%
0.3 2
6.9%
0.4 1
3.4%
0.47 1
3.4%
0.6 1
3.4%
0.7 1
3.4%
0.75407 1
3.4%
0.8 1
3.4%
0.83 1
3.4%
0.90407 1
3.4%
ValueCountFrequency (%)
10.889 1
3.4%
10.569 1
3.4%
8.4 1
3.4%
8.079 1
3.4%
6.9 1
3.4%
4.3 1
3.4%
3.2 1
3.4%
3.1 1
3.4%
2.7 1
3.4%
1.8 1
3.4%

3.8
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9856207
Minimum2.9
Maximum21.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:47.098372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9
5-th percentile3.2474
Q14.7
median7.5
Q312.6
95-th percentile18.528
Maximum21.6
Range18.7
Interquartile range (IQR)7.9

Descriptive statistics

Standard deviation5.5016115
Coefficient of variation (CV)0.61226839
Kurtosis-0.39296831
Mean8.9856207
Median Absolute Deviation (MAD)3.2
Skewness0.90536766
Sum260.583
Variance30.267729
MonotonicityNot monotonic
2023-12-10T15:18:47.315022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7.5 2
 
6.9%
18.33 2
 
6.9%
4.7 2
 
6.9%
4.9 1
 
3.4%
6.12 1
 
3.4%
16.53 1
 
3.4%
3.079 1
 
3.4%
18.66 1
 
3.4%
4.039 1
 
3.4%
12.05 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
2.9 1
3.4%
3.079 1
3.4%
3.5 1
3.4%
3.789 1
3.4%
4.039 1
3.4%
4.4 1
3.4%
4.5 1
3.4%
4.7 2
6.9%
4.9 1
3.4%
5.3 1
3.4%
ValueCountFrequency (%)
21.6 1
3.4%
18.66 1
3.4%
18.33 2
6.9%
16.53 1
3.4%
14.9 1
3.4%
12.706 1
3.4%
12.6 1
3.4%
12.05 1
3.4%
10.7 1
3.4%
8.4 1
3.4%

0.1
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17127362
Minimum0
Maximum0.9
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:47.532237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.064651
Q10.1
median0.137
Q30.2
95-th percentile0.2856
Maximum0.9
Range0.9
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.15545309
Coefficient of variation (CV)0.9076301
Kurtosis18.158922
Mean0.17127362
Median Absolute Deviation (MAD)0.043605
Skewness3.8729725
Sum4.966935
Variance0.024165664
MonotonicityNot monotonic
2023-12-10T15:18:47.749520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.2 7
24.1%
0.1 7
24.1%
0.1641 1
 
3.4%
0.152 1
 
3.4%
0.252 1
 
3.4%
0.11 1
 
3.4%
0.137 1
 
3.4%
0.264 1
 
3.4%
0.093395 1
 
3.4%
0.074035 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.058395 1
 
3.4%
0.074035 1
 
3.4%
0.093395 1
 
3.4%
0.09701 1
 
3.4%
0.1 7
24.1%
0.109 1
 
3.4%
0.11 1
 
3.4%
0.137 1
 
3.4%
0.152 1
 
3.4%
ValueCountFrequency (%)
0.9 1
 
3.4%
0.3 1
 
3.4%
0.264 1
 
3.4%
0.252 1
 
3.4%
0.2 7
24.1%
0.1641 1
 
3.4%
0.156 1
 
3.4%
0.152 1
 
3.4%
0.137 1
 
3.4%
0.11 1
 
3.4%

0.4
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36488714
Minimum0
Maximum1.357
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:47.931234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.041631
Q10.2
median0.2627
Q30.453
95-th percentile1.12518
Maximum1.357
Range1.357
Interquartile range (IQR)0.253

Descriptive statistics

Standard deviation0.32943948
Coefficient of variation (CV)0.90285308
Kurtosis3.0329343
Mean0.36488714
Median Absolute Deviation (MAD)0.1373
Skewness1.7971924
Sum10.581727
Variance0.10853037
MonotonicityNot monotonic
2023-12-10T15:18:48.160704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.2 6
20.7%
0.3 3
 
10.3%
0.4 2
 
6.9%
0.041631 2
 
6.9%
0.5 2
 
6.9%
0.1 2
 
6.9%
1.1232 1
 
3.4%
0.453 1
 
3.4%
0.38 1
 
3.4%
0.2627 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.041631 2
 
6.9%
0.1 2
 
6.9%
0.139 1
 
3.4%
0.16762 1
 
3.4%
0.2 6
20.7%
0.259 1
 
3.4%
0.2627 1
 
3.4%
0.3 3
10.3%
0.38 1
 
3.4%
ValueCountFrequency (%)
1.357 1
 
3.4%
1.1265 1
 
3.4%
1.1232 1
 
3.4%
0.6 1
 
3.4%
0.530445 1
 
3.4%
0.5 2
6.9%
0.453 1
 
3.4%
0.4 2
6.9%
0.38 1
 
3.4%
0.3 3
10.3%

0.1.1
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.10101414
Minimum0
Maximum0.3
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:48.448410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.05825
median0.1
Q30.11
95-th percentile0.2
Maximum0.3
Range0.3
Interquartile range (IQR)0.05175

Descriptive statistics

Standard deviation0.061838953
Coefficient of variation (CV)0.61218117
Kurtosis2.9164119
Mean0.10101414
Median Absolute Deviation (MAD)0.013
Skewness1.1194079
Sum2.92941
Variance0.0038240562
MonotonicityNot monotonic
2023-12-10T15:18:48.654358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.1 12
41.4%
0.2 2
 
6.9%
0.0 2
 
6.9%
0.3 1
 
3.4%
0.04661 1
 
3.4%
0.12 1
 
3.4%
0.11 1
 
3.4%
0.113 1
 
3.4%
0.025 1
 
3.4%
0.165 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 2
 
6.9%
0.025 1
 
3.4%
0.0375 1
 
3.4%
0.04 1
 
3.4%
0.04661 1
 
3.4%
0.05661 1
 
3.4%
0.05825 1
 
3.4%
0.1 12
41.4%
0.1069 1
 
3.4%
0.11 1
 
3.4%
ValueCountFrequency (%)
0.3 1
 
3.4%
0.2 2
 
6.9%
0.165 1
 
3.4%
0.15054 1
 
3.4%
0.12 1
 
3.4%
0.113 1
 
3.4%
0.11 1
 
3.4%
0.1069 1
 
3.4%
0.1 12
41.4%
0.05825 1
 
3.4%

49.3
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.488186
Minimum15.4122
Maximum153.794
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:48.844444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15.4122
5-th percentile19.48508
Q144.2
median56.4
Q390
95-th percentile144.075
Maximum153.794
Range138.3818
Interquartile range (IQR)45.8

Descriptive statistics

Standard deviation39.595924
Coefficient of variation (CV)0.56982238
Kurtosis-0.37739282
Mean69.488186
Median Absolute Deviation (MAD)27.165
Skewness0.6941886
Sum2015.1574
Variance1567.8372
MonotonicityNot monotonic
2023-12-10T15:18:49.061680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
45.8 1
 
3.4%
21.2 1
 
3.4%
153.794 1
 
3.4%
138.78 1
 
3.4%
129.494 1
 
3.4%
29.235 1
 
3.4%
52.904 1
 
3.4%
20.4122 1
 
3.4%
147.605 1
 
3.4%
100.1 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
15.4122 1
3.4%
18.867 1
3.4%
20.4122 1
3.4%
21.2 1
3.4%
29.235 1
3.4%
36.269 1
3.4%
42.7 1
3.4%
44.2 1
3.4%
45.8 1
3.4%
47.8 1
3.4%
ValueCountFrequency (%)
153.794 1
3.4%
147.605 1
3.4%
138.78 1
3.4%
129.494 1
3.4%
122.2 1
3.4%
100.1 1
3.4%
90.891 1
3.4%
90.0 1
3.4%
88.494 1
3.4%
84.1 1
3.4%

36
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.48803
Minimum42.966
Maximum282.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:49.272903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42.966
5-th percentile47.608
Q179.6
median102.966
Q3130.24
95-th percentile215.592
Maximum282.82
Range239.854
Interquartile range (IQR)50.64

Descriptive statistics

Standard deviation54.487191
Coefficient of variation (CV)0.4976543
Kurtosis3.8813574
Mean109.48803
Median Absolute Deviation (MAD)26.966
Skewness1.7297333
Sum3175.153
Variance2968.854
MonotonicityNot monotonic
2023-12-10T15:18:49.464922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
116.8 1
 
3.4%
133.0 1
 
3.4%
105.63 1
 
3.4%
95.35 1
 
3.4%
156.33 1
 
3.4%
282.82 1
 
3.4%
48.55 1
 
3.4%
42.966 1
 
3.4%
130.24 1
 
3.4%
68.7 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
42.966 1
3.4%
47.08 1
3.4%
48.4 1
3.4%
48.55 1
3.4%
59.0 1
3.4%
68.7 1
3.4%
76.0 1
3.4%
79.6 1
3.4%
80.1 1
3.4%
85.7 1
3.4%
ValueCountFrequency (%)
282.82 1
3.4%
255.1 1
3.4%
156.33 1
3.4%
153.9 1
3.4%
152.65 1
3.4%
133.0 1
3.4%
130.871 1
3.4%
130.24 1
3.4%
116.8 1
3.4%
116.0 1
3.4%

125.1
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189.17124
Minimum43.067
Maximum270.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:49.650510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.067
5-th percentile81.34
Q1160.33
median203.69
Q3226.7
95-th percentile265.94
Maximum270.8
Range227.733
Interquartile range (IQR)66.37

Descriptive statistics

Standard deviation62.258066
Coefficient of variation (CV)0.32910957
Kurtosis-0.19293238
Mean189.17124
Median Absolute Deviation (MAD)36.01
Skewness-0.82676847
Sum5485.966
Variance3876.0668
MonotonicityNot monotonic
2023-12-10T15:18:49.858043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
226.7 1
 
3.4%
81.1 1
 
3.4%
203.69 1
 
3.4%
189.57 1
 
3.4%
115.59 1
 
3.4%
160.33 1
 
3.4%
179.81 1
 
3.4%
83.067 1
 
3.4%
270.8 1
 
3.4%
260.3 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
43.067 1
3.4%
81.1 1
3.4%
81.7 1
3.4%
83.067 1
3.4%
115.59 1
3.4%
125.47 1
3.4%
137.0 1
3.4%
160.33 1
3.4%
168.4 1
3.4%
179.81 1
3.4%
ValueCountFrequency (%)
270.8 1
3.4%
269.7 1
3.4%
260.3 1
3.4%
251.4 1
3.4%
250.245 1
3.4%
244.0 1
3.4%
239.7 1
3.4%
226.7 1
3.4%
226.5 1
3.4%
224.7 1
3.4%

2162.4
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1486.3038
Minimum355.654
Maximum2780.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:50.071070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum355.654
5-th percentile493.236
Q1862.3
median1538.2
Q31910.3
95-th percentile2722.046
Maximum2780.4
Range2424.746
Interquartile range (IQR)1048

Descriptive statistics

Standard deviation691.44394
Coefficient of variation (CV)0.46521038
Kurtosis-0.74558716
Mean1486.3038
Median Absolute Deviation (MAD)549.1
Skewness0.248883
Sum43102.809
Variance478094.72
MonotonicityNot monotonic
2023-12-10T15:18:50.282043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2236.1 1
 
3.4%
862.3 1
 
3.4%
989.1 1
 
3.4%
1640.84 1
 
3.4%
433.9 1
 
3.4%
582.24 1
 
3.4%
1051.89 1
 
3.4%
672.654 1
 
3.4%
1676.14 1
 
3.4%
1668.1 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
355.654 1
3.4%
433.9 1
3.4%
582.24 1
3.4%
672.654 1
3.4%
767.8 1
3.4%
773.22 1
3.4%
851.8 1
3.4%
862.3 1
3.4%
989.1 1
3.4%
1051.89 1
3.4%
ValueCountFrequency (%)
2780.4 1
3.4%
2759.7 1
3.4%
2665.565 1
3.4%
2261.4 1
3.4%
2253.476 1
3.4%
2236.1 1
3.4%
2060.2 1
3.4%
1910.3 1
3.4%
1727.03 1
3.4%
1676.14 1
3.4%

406.94
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean801.46828
Minimum324.72
Maximum2549.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:50.491168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum324.72
5-th percentile342.694
Q1500.88
median707.23
Q31001.03
95-th percentile1447.774
Maximum2549.16
Range2224.44
Interquartile range (IQR)500.15

Descriptive statistics

Standard deviation459.02396
Coefficient of variation (CV)0.5727288
Kurtosis6.6387821
Mean801.46828
Median Absolute Deviation (MAD)242.76
Skewness2.1462131
Sum23242.58
Variance210703
MonotonicityNot monotonic
2023-12-10T15:18:50.717611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1199.76 1
 
3.4%
456.5 1
 
3.4%
888.88 1
 
3.4%
528.5 1
 
3.4%
806.28 1
 
3.4%
353.14 1
 
3.4%
397.74 1
 
3.4%
335.73 1
 
3.4%
1060.48 1
 
3.4%
1001.03 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
324.72 1
3.4%
335.73 1
3.4%
353.14 1
3.4%
378.72 1
3.4%
397.74 1
3.4%
456.5 1
3.4%
464.47 1
3.4%
500.88 1
3.4%
528.5 1
3.4%
545.77 1
3.4%
ValueCountFrequency (%)
2549.16 1
3.4%
1573.21 1
3.4%
1259.62 1
3.4%
1199.76 1
3.4%
1106.15 1
3.4%
1060.48 1
3.4%
1023.03 1
3.4%
1001.03 1
3.4%
940.43 1
3.4%
888.88 1
3.4%

372.2
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean464.54121
Minimum178.591
Maximum943.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:50.941801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum178.591
5-th percentile262.2346
Q1349.93
median415
Q3534.33
95-th percentile753.42
Maximum943.74
Range765.149
Interquartile range (IQR)184.4

Descriptive statistics

Standard deviation164.5065
Coefficient of variation (CV)0.35412682
Kurtosis1.5918111
Mean464.54121
Median Absolute Deviation (MAD)76.4
Skewness1.0332369
Sum13471.695
Variance27062.389
MonotonicityNot monotonic
2023-12-10T15:18:51.186336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
611.3 1
 
3.4%
266.2 1
 
3.4%
630.12 1
 
3.4%
534.33 1
 
3.4%
483.72 1
 
3.4%
336.79 1
 
3.4%
486.69 1
 
3.4%
259.591 1
 
3.4%
943.74 1
 
3.4%
501.1 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
178.591 1
3.4%
259.591 1
3.4%
266.2 1
3.4%
336.79 1
3.4%
338.6 1
3.4%
345.2 1
3.4%
345.4 1
3.4%
349.93 1
3.4%
354.9 1
3.4%
373.27 1
3.4%
ValueCountFrequency (%)
943.74 1
3.4%
808.9 1
3.4%
670.2 1
3.4%
630.12 1
3.4%
611.3 1
3.4%
598.0 1
3.4%
589.3 1
3.4%
534.33 1
3.4%
501.1 1
3.4%
495.7 1
3.4%

20.6
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.664483
Minimum2.625
Maximum83.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:51.459652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.625
5-th percentile4.04
Q120.8
median36.8
Q343.275
95-th percentile79.984
Maximum83.25
Range80.625
Interquartile range (IQR)22.475

Descriptive statistics

Standard deviation23.57149
Coefficient of variation (CV)0.66092337
Kurtosis-0.22385441
Mean35.664483
Median Absolute Deviation (MAD)9.725
Skewness0.54958566
Sum1034.27
Variance555.61514
MonotonicityNot monotonic
2023-12-10T15:18:51.741129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5.1 2
 
6.9%
20.8 1
 
3.4%
37.5 1
 
3.4%
36.8 1
 
3.4%
31.45 1
 
3.4%
4.4 1
 
3.4%
29.77 1
 
3.4%
44.55 1
 
3.4%
16.625 1
 
3.4%
83.25 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
2.625 1
3.4%
3.8 1
3.4%
4.4 1
3.4%
5.1 2
6.9%
9.6 1
3.4%
16.625 1
3.4%
20.8 1
3.4%
23.3 1
3.4%
27.075 1
3.4%
29.1 1
3.4%
ValueCountFrequency (%)
83.25 1
3.4%
83.0 1
3.4%
75.46 1
3.4%
75.2 1
3.4%
68.0 1
3.4%
44.55 1
3.4%
43.5 1
3.4%
43.275 1
3.4%
42.6 1
3.4%
41.1 1
3.4%

1.7
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8903079
Minimum0.7895
Maximum9.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:51.946913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.7895
5-th percentile0.865696
Q12.3
median2.9
Q33.24295
95-th percentile4.9391
Maximum9.1
Range8.3105
Interquartile range (IQR)0.94295

Descriptive statistics

Standard deviation1.6020154
Coefficient of variation (CV)0.55427153
Kurtosis7.6017438
Mean2.8903079
Median Absolute Deviation (MAD)0.5
Skewness2.0803891
Sum83.81893
Variance2.5664533
MonotonicityNot monotonic
2023-12-10T15:18:52.135902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.1 2
 
6.9%
3.6 2
 
6.9%
2.9 2
 
6.9%
3.0 2
 
6.9%
9.1 1
 
3.4%
3.24295 1
 
3.4%
3.772 1
 
3.4%
2.586 1
 
3.4%
3.012 1
 
3.4%
0.853 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
0.7895 1
3.4%
0.853 1
3.4%
0.88474 1
3.4%
0.97474 1
3.4%
1.1 1
3.4%
1.8 1
3.4%
2.0 1
3.4%
2.3 1
3.4%
2.414 1
3.4%
2.5215 1
3.4%
ValueCountFrequency (%)
9.1 1
3.4%
5.6985 1
3.4%
3.8 1
3.4%
3.772 1
3.4%
3.6 2
6.9%
3.4 1
3.4%
3.24295 1
3.4%
3.1 2
6.9%
3.012 1
3.4%
3.0 2
6.9%

0.2
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.516345
Minimum0
Maximum253.2
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:52.329203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114.9
median57.8
Q3128.95
95-th percentile201.3
Maximum253.2
Range253.2
Interquartile range (IQR)114.05

Descriptive statistics

Standard deviation72.073314
Coefficient of variation (CV)0.94193357
Kurtosis0.035165927
Mean76.516345
Median Absolute Deviation (MAD)57.8
Skewness0.77248423
Sum2218.974
Variance5194.5626
MonotonicityNot monotonic
2023-12-10T15:18:52.601462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0.0 4
 
13.8%
134.1 2
 
6.9%
1.672 2
 
6.9%
128.95 2
 
6.9%
31.4 1
 
3.4%
23.6 1
 
3.4%
124.05 1
 
3.4%
95.7 1
 
3.4%
5.73 1
 
3.4%
240.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
0.0 4
13.8%
1.672 2
6.9%
5.73 1
 
3.4%
14.9 1
 
3.4%
16.96 1
 
3.4%
20.9 1
 
3.4%
23.6 1
 
3.4%
27.0 1
 
3.4%
31.4 1
 
3.4%
57.0 1
 
3.4%
ValueCountFrequency (%)
253.2 1
3.4%
240.3 1
3.4%
142.8 1
3.4%
134.1 2
6.9%
134.09 1
3.4%
133.7 1
3.4%
128.95 2
6.9%
124.05 1
3.4%
123.7 1
3.4%
113.2 1
3.4%

0.8795
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6904676
Minimum0.02225
Maximum8.459
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:52.821462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02225
5-th percentile0.13238
Q10.409
median1.045
Q31.337
95-th percentile6.92732
Maximum8.459
Range8.43675
Interquartile range (IQR)0.928

Descriptive statistics

Standard deviation2.1670728
Coefficient of variation (CV)1.2819369
Kurtosis3.9318901
Mean1.6904676
Median Absolute Deviation (MAD)0.636
Skewness2.1477976
Sum49.02356
Variance4.6962044
MonotonicityNot monotonic
2023-12-10T15:18:53.036412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.36 2
 
6.9%
1.045 2
 
6.9%
0.02225 1
 
3.4%
1.075 1
 
3.4%
0.7861 1
 
3.4%
8.459 1
 
3.4%
0.684 1
 
3.4%
0.28238 1
 
3.4%
2.684 1
 
3.4%
3.15325 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.02225 1
3.4%
0.03238 1
3.4%
0.28238 1
3.4%
0.36 2
6.9%
0.3623 1
3.4%
0.3797 1
3.4%
0.409 1
3.4%
0.486 1
3.4%
0.491 1
3.4%
0.684 1
3.4%
ValueCountFrequency (%)
8.459 1
3.4%
7.262 1
3.4%
6.4253 1
3.4%
3.6857 1
3.4%
3.15325 1
3.4%
2.684 1
3.4%
2.0268 1
3.4%
1.337 1
3.4%
1.24925 1
3.4%
1.09495 1
3.4%

0.007
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.029512069
Minimum0
Maximum0.3475
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:53.221459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.0195
95-th percentile0.13098
Maximum0.3475
Range0.3475
Interquartile range (IQR)0.0195

Descriptive statistics

Standard deviation0.071415858
Coefficient of variation (CV)2.4198865
Kurtosis14.468822
Mean0.029512069
Median Absolute Deviation (MAD)0
Skewness3.5866289
Sum0.85585
Variance0.0051002248
MonotonicityNot monotonic
2023-12-10T15:18:53.414659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 15
51.7%
0.00015 2
 
6.9%
0.1403 1
 
3.4%
0.0195 1
 
3.4%
0.012 1
 
3.4%
0.0145 1
 
3.4%
0.01 1
 
3.4%
0.1 1
 
3.4%
0.00025 1
 
3.4%
0.03 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 15
51.7%
0.00015 2
 
6.9%
0.00025 1
 
3.4%
0.01 1
 
3.4%
0.012 1
 
3.4%
0.0145 1
 
3.4%
0.0195 1
 
3.4%
0.0245 1
 
3.4%
0.03 1
 
3.4%
0.04 1
 
3.4%
ValueCountFrequency (%)
0.3475 1
3.4%
0.1403 1
3.4%
0.117 1
3.4%
0.1 1
3.4%
0.04 1
3.4%
0.03 1
3.4%
0.0245 1
3.4%
0.0195 1
3.4%
0.0145 1
3.4%
0.012 1
3.4%

463
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean399.41369
Minimum38
Maximum633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:53.611068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38
5-th percentile70.572
Q1360
median409.8
Q3509
95-th percentile596.48
Maximum633
Range595
Interquartile range (IQR)149

Descriptive statistics

Standard deviation159.83463
Coefficient of variation (CV)0.40017313
Kurtosis0.37660746
Mean399.41369
Median Absolute Deviation (MAD)72.2
Skewness-0.87523269
Sum11582.997
Variance25547.108
MonotonicityNot monotonic
2023-12-10T15:18:54.135083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
537.0 1
 
3.4%
49.0 1
 
3.4%
420.93 1
 
3.4%
440.8 1
 
3.4%
102.93 1
 
3.4%
561.65 1
 
3.4%
409.8 1
 
3.4%
335.086985 1
 
3.4%
596.8 1
 
3.4%
383.0 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
38.0 1
3.4%
49.0 1
3.4%
102.93 1
3.4%
131.0 1
3.4%
232.0 1
3.4%
335.086985 1
3.4%
352.0 1
3.4%
360.0 1
3.4%
370.0 1
3.4%
373.0 1
3.4%
ValueCountFrequency (%)
633.0 1
3.4%
596.8 1
3.4%
596.0 1
3.4%
582.0 1
3.4%
564.0 1
3.4%
561.65 1
3.4%
537.0 1
3.4%
509.0 1
3.4%
482.0 1
3.4%
448.0 1
3.4%

94
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.975619
Minimum9
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:54.386603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10.2256
Q168
median73.894
Q380.473
95-th percentile108.9756
Maximum120
Range111
Interquartile range (IQR)12.473

Descriptive statistics

Standard deviation28.33076
Coefficient of variation (CV)0.41677826
Kurtosis0.6012537
Mean67.975619
Median Absolute Deviation (MAD)6.579
Skewness-0.8015695
Sum1971.2929
Variance802.63198
MonotonicityNot monotonic
2023-12-10T15:18:54.604074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
70.0 4
 
13.8%
76.0 2
 
6.9%
42.0 1
 
3.4%
9.0 1
 
3.4%
73.894 1
 
3.4%
80.473 1
 
3.4%
10.564 1
 
3.4%
83.782 1
 
3.4%
77.261 1
 
3.4%
70.37994 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
9.0 1
 
3.4%
10.0 1
 
3.4%
10.564 1
 
3.4%
13.0 1
 
3.4%
42.0 1
 
3.4%
48.0 1
 
3.4%
54.0 1
 
3.4%
68.0 1
 
3.4%
69.0 1
 
3.4%
70.0 4
13.8%
ValueCountFrequency (%)
120.0 1
3.4%
109.0 1
3.4%
108.939 1
3.4%
89.0 1
3.4%
87.0 1
3.4%
83.782 1
3.4%
81.0 1
3.4%
80.473 1
3.4%
80.0 1
3.4%
78.0 1
3.4%

9.8
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0213793
Minimum0
Maximum9.99
Zeros12
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:54.874892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.98
Q32.3
95-th percentile7.626
Maximum9.99
Range9.99
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation2.7294384
Coefficient of variation (CV)1.3502851
Kurtosis2.0818191
Mean2.0213793
Median Absolute Deviation (MAD)0.98
Skewness1.6497926
Sum58.62
Variance7.4498337
MonotonicityNot monotonic
2023-12-10T15:18:55.117529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 12
41.4%
2.3 4
 
13.8%
1.96 3
 
10.3%
2.93 2
 
6.9%
0.98 2
 
6.9%
7.53 1
 
3.4%
9.99 1
 
3.4%
3.28 1
 
3.4%
0.24 1
 
3.4%
6.99 1
 
3.4%
ValueCountFrequency (%)
0.0 12
41.4%
0.24 1
 
3.4%
0.98 2
 
6.9%
1.96 3
 
10.3%
2.3 4
 
13.8%
2.93 2
 
6.9%
3.28 1
 
3.4%
6.99 1
 
3.4%
7.53 1
 
3.4%
7.69 1
 
3.4%
ValueCountFrequency (%)
9.99 1
 
3.4%
7.69 1
 
3.4%
7.53 1
 
3.4%
6.99 1
 
3.4%
3.28 1
 
3.4%
2.93 2
6.9%
2.3 4
13.8%
1.96 3
10.3%
0.98 2
6.9%
0.24 1
 
3.4%

3.134
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.8182462
Minimum0.35847
Maximum26.4688
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:55.299124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.35847
5-th percentile0.725208
Q12.2051
median4.332
Q37.104
95-th percentile19.23506
Maximum26.4688
Range26.11033
Interquartile range (IQR)4.8989

Descriptive statistics

Standard deviation6.7487113
Coefficient of variation (CV)0.98980165
Kurtosis1.5858172
Mean6.8182462
Median Absolute Deviation (MAD)2.564
Skewness1.5270856
Sum197.72914
Variance45.545104
MonotonicityNot monotonic
2023-12-10T15:18:55.507035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
26.4688 1
 
3.4%
0.3897 1
 
3.4%
5.265 1
 
3.4%
4.332 1
 
3.4%
4.005 1
 
3.4%
18.506 1
 
3.4%
3.494 1
 
3.4%
1.22847 1
 
3.4%
11.9725 1
 
3.4%
9.1845 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.35847 1
3.4%
0.3897 1
3.4%
1.22847 1
3.4%
1.2745 1
3.4%
1.489 1
3.4%
1.5375 1
3.4%
1.768 1
3.4%
2.2051 1
3.4%
2.7817 1
3.4%
2.8701 1
3.4%
ValueCountFrequency (%)
26.4688 1
3.4%
19.7211 1
3.4%
18.506 1
3.4%
18.415 1
3.4%
16.31 1
3.4%
11.9725 1
3.4%
9.1845 1
3.4%
7.104 1
3.4%
6.5575 1
3.4%
6.055 1
3.4%

11.3
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.599661
Minimum1.49621
Maximum29.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:55.680513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.49621
5-th percentile5.3
Q112.814
median15.5
Q319.9
95-th percentile21.9
Maximum29.5
Range28.00379
Interquartile range (IQR)7.086

Descriptive statistics

Standard deviation6.0607979
Coefficient of variation (CV)0.38852113
Kurtosis0.34762245
Mean15.599661
Median Absolute Deviation (MAD)4.4
Skewness-0.33093892
Sum452.39017
Variance36.733271
MonotonicityNot monotonic
2023-12-10T15:18:55.873318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
29.5 1
 
3.4%
4.3 1
 
3.4%
18.679 1
 
3.4%
17.481 1
 
3.4%
9.249 1
 
3.4%
12.814 1
 
3.4%
14.454 1
 
3.4%
8.54621 1
 
3.4%
15.181 1
 
3.4%
19.4 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1.49621 1
3.4%
4.3 1
3.4%
6.8 1
3.4%
8.54621 1
3.4%
9.249 1
3.4%
9.412 1
3.4%
10.5 1
3.4%
12.814 1
3.4%
13.6 1
3.4%
14.0 1
3.4%
ValueCountFrequency (%)
29.5 1
3.4%
22.1 1
3.4%
21.6 1
3.4%
21.18845 1
3.4%
21.1 1
3.4%
20.9 1
3.4%
20.3 1
3.4%
19.9 1
3.4%
19.7 1
3.4%
19.4 1
3.4%

3.7
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6265821
Minimum2.1
Maximum10.729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:56.126347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.1
5-th percentile2.84364
Q13.8
median4.3
Q34.9
95-th percentile8.36
Maximum10.729
Range8.629
Interquartile range (IQR)1.1

Descriptive statistics

Standard deviation1.7673194
Coefficient of variation (CV)0.38199244
Kurtosis6.0904793
Mean4.6265821
Median Absolute Deviation (MAD)0.586
Skewness2.2385148
Sum134.17088
Variance3.1234178
MonotonicityNot monotonic
2023-12-10T15:18:56.342541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
4.2 2
 
6.9%
3.7 1
 
3.4%
4.9 1
 
3.4%
5.019 1
 
3.4%
3.74 1
 
3.4%
5.039 1
 
3.4%
5.026 1
 
3.4%
4.499 1
 
3.4%
3.1508 1
 
3.4%
10.729 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
2.1 1
3.4%
2.7394 1
3.4%
3.0 1
3.4%
3.1508 1
3.4%
3.5 1
3.4%
3.7 1
3.4%
3.74 1
3.4%
3.8 1
3.4%
3.83238 1
3.4%
3.9 1
3.4%
ValueCountFrequency (%)
10.729 1
3.4%
9.6 1
3.4%
6.5 1
3.4%
5.3595 1
3.4%
5.039 1
3.4%
5.026 1
3.4%
5.019 1
3.4%
4.9 1
3.4%
4.886 1
3.4%
4.8 1
3.4%

130.6
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.3767
Minimum4.78
Maximum431.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:18:56.569234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.78
5-th percentile5.5
Q120.2
median46.7
Q3117.1
95-th percentile346.79667
Maximum431.64
Range426.86
Interquartile range (IQR)96.9

Descriptive statistics

Standard deviation127.95389
Coefficient of variation (CV)1.2028375
Kurtosis0.67982714
Mean106.3767
Median Absolute Deviation (MAD)39.2
Skewness1.4273388
Sum3084.9243
Variance16372.198
MonotonicityNot monotonic
2023-12-10T15:18:56.760815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
46.7 2
 
6.9%
42.42283333 2
 
6.9%
5.8 2
 
6.9%
5.3 1
 
3.4%
108.1483333 1
 
3.4%
346.8 1
 
3.4%
342.6 1
 
3.4%
346.7916667 1
 
3.4%
30.6 1
 
3.4%
7.5 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
4.78 1
3.4%
5.3 1
3.4%
5.8 2
6.9%
7.5 1
3.4%
12.6 1
3.4%
18.4 1
3.4%
20.2 1
3.4%
30.6 1
3.4%
32.4 1
3.4%
39.5 1
3.4%
ValueCountFrequency (%)
431.64 1
3.4%
346.8 1
3.4%
346.7916667 1
3.4%
342.6 1
3.4%
327.4 1
3.4%
215.2 1
3.4%
173.8 1
3.4%
117.1 1
3.4%
108.1483333 1
3.4%
88.4 1
3.4%

Sample

AF00702000010831901.63.80.10.40.1.149.336125.12162.4406.94372.220.61.70.20.87950.007463949.83.13411.33.7130.6
0AF007020000128314.00.08.44.90.20.40.345.8116.8226.72236.11199.76611.320.89.131.43.68570.1403537.042.00.026.468829.53.75.3
1AF007020000137356.00.00.34.70.00.00.121.2133.081.1862.3456.5266.23.81.120.90.022250.049.09.01.960.38974.33.85.8
2AF007020000138449.00.80.37.50.10.20.149.2109.7137.01504.9940.43345.25.12.8134.10.79210.0131.013.02.934.80710.54.346.7
3AF007020000139155.00.140.754073.7890.0583950.0416310.0566115.4122102.96643.067355.654378.72178.5912.6250.974741.6720.032380.0001538.010.02.30.358471.496214.350842.422833
4AF007020000151400.00.84.32.90.20.50.151.685.7221.82261.4707.23415.041.13.173.52.02680.0596.089.07.5316.3119.73.920.2
5AF007020000152470.00.06.914.90.20.60.282.593.2219.72759.71106.15808.939.43.157.01.3370.0195633.0120.09.996.557521.19.6327.4
6AF007020000109284.00.61.73.50.30.20.170.276.0269.7851.8720.87412.942.63.6113.20.890.0373.069.00.04.039120.94.039.5
7AF007020000110589.00.80.812.60.20.20.2122.293.3196.92780.4602.77589.39.62.3133.71.249250.0445.087.01.962.781715.54.863.4
8AF007020000129433.01.11.24.50.20.20.190.079.6244.01209.2545.77338.629.12.9142.81.08510.0582.0109.00.04.25721.63.555.5
9AF007020000111426.00.01.4170312.7060.097010.167620.1505488.494130.871191.5672253.476608.92394.22338.292.521516.960.4860.012370.068.00.02.870115.39833.8323856.518667
AF00702000010831901.63.80.10.40.1.149.336125.12162.4406.94372.220.61.70.20.87950.007463949.83.13411.33.7130.6
19AF007020000116421.00.01.45.30.10.20.151.4101.6223.01617.5828.2467.823.32.927.00.4090.0406.070.00.05.782117.34.550.5
20AF007020000117458.00.03.16.20.20.30.184.1103.8239.71225.61259.62670.233.83.057.86.42530.3475564.076.02.319.721120.36.5117.1
21AF007020000131296.02.83.221.60.20.50.1100.168.7260.31668.11001.03501.143.51.8253.23.153250.04383.054.06.999.184519.44.2215.2
22AF007020000153446.01.510.56912.050.16411.12320.1069147.605130.24270.81676.141060.48943.7483.255.6985240.32.6840.0245596.8108.9397.6911.972515.18110.729431.64
23AF007020000118154.70.140.904074.0390.0933950.0416310.0466120.412242.96683.067672.654335.73259.59116.6250.884741.6720.282380.00015335.08698570.379942.31.228478.546213.150842.422833
24AF007020000127458.00.01.72818.660.2640.2590.16552.90448.55179.811051.89397.74486.6944.552.4145.730.6840.0409.877.2610.03.49414.4544.4997.5
25AF007020000147537.50.68.0793.0790.1371.3570.02529.235282.82160.33582.24353.14336.7929.770.85395.78.4590.117561.6583.7820.018.50612.8145.02630.6
26AF007020000142422.00.750.4718.330.110.26270.113129.494156.33115.59433.9806.28483.724.43.012128.950.78610.0102.9310.5640.984.0059.2495.039346.791667
27AF007020000119441.00.751.1716.530.2520.380.11138.7895.35189.571640.84528.5534.3331.452.586124.051.0750.0440.880.4730.04.33217.4813.74342.6
28AF007020000143547.00.750.8318.330.1520.4530.12153.794105.63203.69989.1888.88630.1236.83.772128.951.0450.0420.9373.8940.985.26518.6795.019346.8