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=AFS00000000000000037

Alerts

AF007050000001 has unique valuesUnique
0.19825 has unique valuesUnique
0.35925 has unique valuesUnique
37.52 has unique valuesUnique
32.95 has unique valuesUnique
283.95 has unique valuesUnique
1048.25 has unique valuesUnique
788.9 has unique valuesUnique
453.05 has unique valuesUnique
1.8135 has unique valuesUnique
574.65 has unique valuesUnique
14.5905 has unique valuesUnique
19.063 has unique valuesUnique
0.29 has 8 (27.6%) zerosZeros
28.74 has 2 (6.9%) zerosZeros
0.0845 has 6 (20.7%) zerosZeros
9.8 has 17 (58.6%) zerosZeros
0 has 2 (6.9%) zerosZeros

Reproduction

Analysis started2023-12-10 06:17:20.728569
Analysis finished2023-12-10 06:17:21.043505
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007050000001
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:17:21.237639image/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 rowAF007050000021
2nd rowAF007050000002
3rd rowAF007050000003
4th rowAF007050000004
5th rowAF007050000005
ValueCountFrequency (%)
af007050000021 1
 
3.4%
af007050000015 1
 
3.4%
af007050000062 1
 
3.4%
af007050000061 1
 
3.4%
af007050000060 1
 
3.4%
af007050000026 1
 
3.4%
af007050000020 1
 
3.4%
af007050000019 1
 
3.4%
af007050000024 1
 
3.4%
af007050000023 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T15:17:21.749782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 243
59.9%
5 32
 
7.9%
7 31
 
7.6%
A 29
 
7.1%
F 29
 
7.1%
1 13
 
3.2%
2 11
 
2.7%
6 7
 
1.7%
3 4
 
1.0%
4 3
 
0.7%
Other values (2) 4
 
1.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 243
69.8%
5 32
 
9.2%
7 31
 
8.9%
1 13
 
3.7%
2 11
 
3.2%
6 7
 
2.0%
3 4
 
1.1%
4 3
 
0.9%
8 2
 
0.6%
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 (%)
0 243
69.8%
5 32
 
9.2%
7 31
 
8.9%
1 13
 
3.7%
2 11
 
3.2%
6 7
 
2.0%
3 4
 
1.1%
4 3
 
0.9%
8 2
 
0.6%
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 (%)
0 243
59.9%
5 32
 
7.9%
7 31
 
7.6%
A 29
 
7.1%
F 29
 
7.1%
1 13
 
3.2%
2 11
 
2.7%
6 7
 
1.7%
3 4
 
1.0%
4 3
 
0.7%
Other values (2) 4
 
1.0%

325
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387.51448
Minimum74
Maximum566
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:21.966408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile149.164
Q1281
median451
Q3532
95-th percentile543.5
Maximum566
Range492
Interquartile range (IQR)251

Descriptive statistics

Standard deviation154.25402
Coefficient of variation (CV)0.39806
Kurtosis-1.1388082
Mean387.51448
Median Absolute Deviation (MAD)101
Skewness-0.51855005
Sum11237.92
Variance23794.302
MonotonicityNot monotonic
2023-12-10T15:17:22.157253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
532.0 3
 
10.3%
537.0 3
 
10.3%
517.0 2
 
6.9%
74.0 1
 
3.4%
347.5 1
 
3.4%
281.0 1
 
3.4%
566.0 1
 
3.4%
269.5 1
 
3.4%
334.3 1
 
3.4%
302.5 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
74.0 1
3.4%
147.12 1
3.4%
152.23 1
3.4%
153.4 1
3.4%
169.12 1
3.4%
232.0 1
3.4%
269.5 1
3.4%
281.0 1
3.4%
293.0 1
3.4%
302.5 1
3.4%
ValueCountFrequency (%)
566.0 1
 
3.4%
545.5 1
 
3.4%
540.5 1
 
3.4%
537.0 3
10.3%
532.0 3
10.3%
517.0 2
6.9%
497.0 1
 
3.4%
492.0 1
 
3.4%
471.0 1
 
3.4%
451.0 1
 
3.4%

0.29
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.68517241
Minimum0
Maximum2.95
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:22.374498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q31.05
95-th percentile2.93
Maximum2.95
Range2.95
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation0.99860667
Coefficient of variation (CV)1.4574531
Kurtosis0.53723296
Mean0.68517241
Median Absolute Deviation (MAD)0.1
Skewness1.3694525
Sum19.87
Variance0.99721529
MonotonicityNot monotonic
2023-12-10T15:17:22.602319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 8
27.6%
0.05 3
 
10.3%
0.1 2
 
6.9%
0.058 2
 
6.9%
2.95 2
 
6.9%
1.9 2
 
6.9%
0.55 1
 
3.4%
0.39 1
 
3.4%
1.05 1
 
3.4%
1.0 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 8
27.6%
0.01 1
 
3.4%
0.05 3
 
10.3%
0.058 2
 
6.9%
0.1 2
 
6.9%
0.174 1
 
3.4%
0.29 1
 
3.4%
0.39 1
 
3.4%
0.55 1
 
3.4%
1.0 1
 
3.4%
ValueCountFrequency (%)
2.95 2
6.9%
2.9 1
3.4%
2.0 1
3.4%
1.9 2
6.9%
1.34 1
3.4%
1.05 1
3.4%
1.0 1
3.4%
0.55 1
3.4%
0.39 1
3.4%
0.29 1
3.4%

3.3935
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.1535686
Minimum0.629942
Maximum21.0743
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:22.818985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.629942
5-th percentile0.75257333
Q12.20665
median3.6723
Q34.65315
95-th percentile8.32372
Maximum21.0743
Range20.444358
Interquartile range (IQR)2.4465

Descriptive statistics

Standard deviation3.8094832
Coefficient of variation (CV)0.9171591
Kurtosis14.21288
Mean4.1535686
Median Absolute Deviation (MAD)1.2297
Skewness3.3393764
Sum120.45349
Variance14.512163
MonotonicityNot monotonic
2023-12-10T15:17:23.055959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
3.90315 2
 
6.9%
0.6374 1
 
3.4%
6.491575 1
 
3.4%
4.9263 1
 
3.4%
21.0743 1
 
3.4%
1.3553 1
 
3.4%
3.6723 1
 
3.4%
1.015333333 1
 
3.4%
6.05115 1
 
3.4%
3.19425 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
0.629942 1
3.4%
0.6374 1
3.4%
0.925333333 1
3.4%
1.015333333 1
3.4%
1.2745 1
3.4%
1.3553 1
3.4%
2.054806 1
3.4%
2.20665 1
3.4%
2.81665 1
3.4%
3.19425 1
3.4%
ValueCountFrequency (%)
21.0743 1
3.4%
9.54515 1
3.4%
6.491575 1
3.4%
6.36665 1
3.4%
6.05115 1
3.4%
4.9263 1
3.4%
4.902 1
3.4%
4.65315 1
3.4%
4.04515 1
3.4%
4.04315 1
3.4%

35.6165
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.787246
Minimum2.7
Maximum64.561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:23.265648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.55168
Q14.664
median8.4024
Q329.296
95-th percentile36.7912
Maximum64.561
Range61.861
Interquartile range (IQR)24.632

Descriptive statistics

Standard deviation15.505533
Coefficient of variation (CV)0.98215561
Kurtosis1.8254244
Mean15.787246
Median Absolute Deviation (MAD)4.0807542
Skewness1.463161
Sum457.83015
Variance240.42154
MonotonicityNot monotonic
2023-12-10T15:17:23.627419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
34.676 2
 
6.9%
11.09 2
 
6.9%
3.6082 1
 
3.4%
37.868 1
 
3.4%
6.824 1
 
3.4%
3.514 1
 
3.4%
6.864 1
 
3.4%
10.864 1
 
3.4%
10.934 1
 
3.4%
5.074 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
2.7 1
3.4%
3.514 1
3.4%
3.6082 1
3.4%
4.014 1
3.4%
4.164 1
3.4%
4.3216458 1
3.4%
4.388 1
3.4%
4.664 1
3.4%
5.064 1
3.4%
5.074 1
3.4%
ValueCountFrequency (%)
64.561 1
3.4%
37.868 1
3.4%
35.176 1
3.4%
34.676 2
6.9%
34.049 1
3.4%
33.399 1
3.4%
29.296 1
3.4%
24.302 1
3.4%
11.09 2
6.9%
10.934 1
3.4%

0.19825
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23645061
Minimum0.04436
Maximum0.51575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:23.834757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04436
5-th percentile0.0566028
Q10.0993
median0.25276
Q30.3356
95-th percentile0.47141
Maximum0.51575
Range0.47139
Interquartile range (IQR)0.2363

Descriptive statistics

Standard deviation0.13498459
Coefficient of variation (CV)0.5708786
Kurtosis-0.67590549
Mean0.23645061
Median Absolute Deviation (MAD)0.09599
Skewness0.3037471
Sum6.8570676
Variance0.01822084
MonotonicityNot monotonic
2023-12-10T15:17:24.032745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.04436 1
 
3.4%
0.06323 1
 
3.4%
0.1862 1
 
3.4%
0.3695 1
 
3.4%
0.0932 1
 
3.4%
0.133 1
 
3.4%
0.1612125 1
 
3.4%
0.3356 1
 
3.4%
0.05305 1
 
3.4%
0.26966 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.04436 1
3.4%
0.05305 1
3.4%
0.061932 1
3.4%
0.06323 1
3.4%
0.08645 1
3.4%
0.0878756 1
3.4%
0.0932 1
3.4%
0.0993 1
3.4%
0.133 1
3.4%
0.1612125 1
3.4%
ValueCountFrequency (%)
0.51575 1
3.4%
0.50905 1
3.4%
0.41495 1
3.4%
0.38055 1
3.4%
0.3695 1
3.4%
0.34875 1
3.4%
0.33955 1
3.4%
0.3356 1
3.4%
0.31345 1
3.4%
0.29805 1
3.4%

0.35925
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.32847535
Minimum0.058525
Maximum1.04335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:24.265153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.058525
5-th percentile0.061206
Q10.1099212
median0.271
Q30.4357
95-th percentile0.869
Maximum1.04335
Range0.984825
Interquartile range (IQR)0.3257788

Descriptive statistics

Standard deviation0.2631785
Coefficient of variation (CV)0.80121231
Kurtosis1.2864524
Mean0.32847535
Median Absolute Deviation (MAD)0.1647
Skewness1.2386292
Sum9.5257852
Variance0.069262921
MonotonicityNot monotonic
2023-12-10T15:17:24.516786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.06819 1
 
3.4%
0.05901 1
 
3.4%
0.3336 1
 
3.4%
0.3259 1
 
3.4%
0.0645 1
 
3.4%
0.11406 1
 
3.4%
0.083725 1
 
3.4%
0.9612 1
 
3.4%
0.07068 1
 
3.4%
0.24973 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.058525 1
3.4%
0.05901 1
3.4%
0.0645 1
3.4%
0.06819 1
3.4%
0.07068 1
3.4%
0.072714 1
3.4%
0.083725 1
3.4%
0.1099212 1
3.4%
0.11406 1
3.4%
0.1455 1
3.4%
ValueCountFrequency (%)
1.04335 1
3.4%
0.9612 1
3.4%
0.7307 1
3.4%
0.67105 1
3.4%
0.5232 1
3.4%
0.5007 1
3.4%
0.4856 1
3.4%
0.4357 1
3.4%
0.3884 1
3.4%
0.3785 1
3.4%

0.025
Real number (ℝ)

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18431545
Minimum0.009
Maximum1.0365
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:24.754566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.009
5-th percentile0.03602
Q10.0687
median0.09675
Q30.2253
95-th percentile0.4919
Maximum1.0365
Range1.0275
Interquartile range (IQR)0.1566

Descriptive statistics

Standard deviation0.20527661
Coefficient of variation (CV)1.1137244
Kurtosis10.560471
Mean0.18431545
Median Absolute Deviation (MAD)0.04675
Skewness2.951315
Sum5.3451479
Variance0.042138485
MonotonicityNot monotonic
2023-12-10T15:17:24.961813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.3189 2
 
6.9%
0.0898 2
 
6.9%
0.09675 1
 
3.4%
0.5839 1
 
3.4%
0.083 1
 
3.4%
1.0365 1
 
3.4%
0.0687 1
 
3.4%
0.1578 1
 
3.4%
0.229016667 1
 
3.4%
0.0952 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.009 1
3.4%
0.0267 1
3.4%
0.05 1
3.4%
0.0548 1
3.4%
0.0617 1
3.4%
0.062618 1
3.4%
0.0656366 1
3.4%
0.0687 1
3.4%
0.07386 1
3.4%
0.0794 1
3.4%
ValueCountFrequency (%)
1.0365 1
3.4%
0.5839 1
3.4%
0.3539 1
3.4%
0.3189 2
6.9%
0.2627 1
3.4%
0.229016667 1
3.4%
0.2253 1
3.4%
0.194 1
3.4%
0.19005 1
3.4%
0.1848 1
3.4%

37.52
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.639391
Minimum26.6036
Maximum218.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:25.163686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum26.6036
5-th percentile29.279367
Q147.09
median54.5645
Q367.665
95-th percentile152.456
Maximum218.42
Range191.8164
Interquartile range (IQR)20.575

Descriptive statistics

Standard deviation42.461987
Coefficient of variation (CV)0.6277701
Kurtosis5.8498874
Mean67.639391
Median Absolute Deviation (MAD)10.1555
Skewness2.3037818
Sum1961.5423
Variance1803.0204
MonotonicityNot monotonic
2023-12-10T15:17:25.383009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
27.027 1
 
3.4%
53.564 1
 
3.4%
36.41 1
 
3.4%
218.42 1
 
3.4%
64.42 1
 
3.4%
109.6112 1
 
3.4%
32.65791667 1
 
3.4%
83.12 1
 
3.4%
26.6036 1
 
3.4%
57.9 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
26.6036 1
3.4%
27.027 1
3.4%
32.65791667 1
3.4%
33.3902 1
3.4%
36.41 1
3.4%
37.10391667 1
3.4%
46.54 1
3.4%
47.09 1
3.4%
47.59 1
3.4%
52.17 1
3.4%
ValueCountFrequency (%)
218.42 1
3.4%
176.02 1
3.4%
117.11 1
3.4%
109.6112 1
3.4%
95.7 1
3.4%
83.12 1
3.4%
81.115 1
3.4%
67.665 1
3.4%
64.72 1
3.4%
64.42 1
3.4%

32.95
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.31125
Minimum11.716786
Maximum1030.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:25.619907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.716786
5-th percentile29.78292
Q158.1
median110.005
Q3234.255
95-th percentile316.315
Maximum1030.51
Range1018.7932
Interquartile range (IQR)176.155

Descriptive statistics

Standard deviation192.07211
Coefficient of variation (CV)1.1146812
Kurtosis14.43646
Mean172.31125
Median Absolute Deviation (MAD)67.985
Skewness3.3492721
Sum4997.0262
Variance36891.694
MonotonicityNot monotonic
2023-12-10T15:17:25.840842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
80.68 1
 
3.4%
32.31 1
 
3.4%
42.02 1
 
3.4%
1030.51 1
 
3.4%
44.12 1
 
3.4%
61.71 1
 
3.4%
56.31583333 1
 
3.4%
256.805 1
 
3.4%
54.097 1
 
3.4%
89.5 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
11.716786 1
3.4%
28.0982 1
3.4%
32.31 1
3.4%
42.02 1
3.4%
44.12 1
3.4%
54.097 1
3.4%
56.31583333 1
3.4%
58.1 1
3.4%
58.11583333 1
3.4%
61.71 1
3.4%
ValueCountFrequency (%)
1030.51 1
3.4%
318.155 1
3.4%
313.555 1
3.4%
295.155 1
3.4%
283.155 1
3.4%
257.005 1
3.4%
256.805 1
3.4%
234.255 1
3.4%
232.005 1
3.4%
225.005 1
3.4%

283.95
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333.40893
Minimum79.009335
Maximum1220.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:26.050215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.009335
5-th percentile84.96
Q1211.60083
median330.4425
Q3444.635
95-th percentile501.455
Maximum1220.27
Range1141.2607
Interquartile range (IQR)233.03417

Descriptive statistics

Standard deviation224.44695
Coefficient of variation (CV)0.67318817
Kurtosis7.8781758
Mean333.40893
Median Absolute Deviation (MAD)118.84167
Skewness2.1420991
Sum9668.8589
Variance50376.432
MonotonicityNot monotonic
2023-12-10T15:17:26.257402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
84.4 1
 
3.4%
85.8 1
 
3.4%
219.25 1
 
3.4%
1220.27 1
 
3.4%
163.29 1
 
3.4%
233.162 1
 
3.4%
211.6008333 1
 
3.4%
490.835 1
 
3.4%
114.125 1
 
3.4%
282.56 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
79.009335 1
3.4%
84.4 1
3.4%
85.8 1
3.4%
89.1734 1
3.4%
114.125 1
3.4%
130.0608333 1
3.4%
163.29 1
3.4%
211.6008333 1
3.4%
216.835 1
3.4%
217.2 1
3.4%
ValueCountFrequency (%)
1220.27 1
3.4%
508.535 1
3.4%
490.835 1
3.4%
489.535 1
3.4%
489.035 1
3.4%
487.085 1
3.4%
477.235 1
3.4%
444.635 1
3.4%
444.135 1
3.4%
422.635 1
3.4%

1048.25
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1180.9251
Minimum41.645152
Maximum3607.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:26.478794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum41.645152
5-th percentile342.202
Q1822.535
median1092.135
Q31441.635
95-th percentile2346.861
Maximum3607.31
Range3565.6648
Interquartile range (IQR)619.1

Descriptive statistics

Standard deviation694.84186
Coefficient of variation (CV)0.58838776
Kurtosis4.5907962
Mean1180.9251
Median Absolute Deviation (MAD)349.5
Skewness1.6508461
Sum34246.827
Variance482805.21
MonotonicityNot monotonic
2023-12-10T15:17:26.705735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
213.45 1
 
3.4%
1007.84 1
 
3.4%
724.48 1
 
3.4%
3607.31 1
 
3.4%
885.135 1
 
3.4%
1263.649 1
 
3.4%
583.03 1
 
3.4%
860.93 1
 
3.4%
910.609 1
 
3.4%
1082.32 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
41.645152 1
3.4%
213.45 1
3.4%
535.33 1
3.4%
583.03 1
3.4%
689.335 1
3.4%
724.48 1
3.4%
738.9542 1
3.4%
822.535 1
3.4%
825.135 1
3.4%
860.93 1
3.4%
ValueCountFrequency (%)
3607.31 1
3.4%
2530.635 1
3.4%
2071.2 1
3.4%
1756.035 1
3.4%
1567.6 1
3.4%
1489.035 1
3.4%
1458.035 1
3.4%
1441.635 1
3.4%
1430.035 1
3.4%
1263.649 1
3.4%

788.9
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1212.3269
Minimum270.65
Maximum3364.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:26.905134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270.65
5-th percentile275.862
Q1470.91
median1011.69
Q31825.26
95-th percentile2419.228
Maximum3364.91
Range3094.26
Interquartile range (IQR)1354.35

Descriptive statistics

Standard deviation820.49329
Coefficient of variation (CV)0.67679212
Kurtosis-0.12167818
Mean1212.3269
Median Absolute Deviation (MAD)669.58
Skewness0.65963166
Sum35157.48
Variance673209.25
MonotonicityNot monotonic
2023-12-10T15:17:27.130345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
270.65 1
 
3.4%
272.41 1
 
3.4%
772.56 1
 
3.4%
3364.91 1
 
3.4%
281.04 1
 
3.4%
665.85 1
 
3.4%
458.74 1
 
3.4%
2176.93 1
 
3.4%
342.11 1
 
3.4%
1011.69 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
270.65 1
3.4%
272.41 1
3.4%
281.04 1
3.4%
320.66 1
3.4%
342.11 1
3.4%
344.72 1
3.4%
458.74 1
3.4%
470.91 1
3.4%
480.7 1
3.4%
486.05 1
3.4%
ValueCountFrequency (%)
3364.91 1
3.4%
2580.76 1
3.4%
2176.93 1
3.4%
2058.26 1
3.4%
2019.26 1
3.4%
2002.76 1
3.4%
1841.76 1
3.4%
1825.26 1
3.4%
1713.48 1
3.4%
1706.26 1
3.4%

453.05
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean714.51261
Minimum159.23333
Maximum1894.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:27.347184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum159.23333
5-th percentile188.794
Q1332.85
median800.09
Q31024.64
95-th percentile1154.305
Maximum1894.43
Range1735.1967
Interquartile range (IQR)691.79

Descriptive statistics

Standard deviation411.92544
Coefficient of variation (CV)0.57651249
Kurtosis0.5678162
Mean714.51261
Median Absolute Deviation (MAD)295.05
Skewness0.59648878
Sum20720.866
Variance169682.57
MonotonicityNot monotonic
2023-12-10T15:17:27.557181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
181.01 1
 
3.4%
257.49 1
 
3.4%
450.48 1
 
3.4%
1894.43 1
 
3.4%
348.175 1
 
3.4%
507.367 1
 
3.4%
252.4733333 1
 
3.4%
1158.865 1
 
3.4%
200.47 1
 
3.4%
955.63 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
159.2333333 1
3.4%
181.01 1
3.4%
200.47 1
3.4%
252.4733333 1
3.4%
256.07591 1
3.4%
257.49 1
3.4%
328.6636 1
3.4%
332.85 1
3.4%
348.175 1
3.4%
392.54 1
3.4%
ValueCountFrequency (%)
1894.43 1
3.4%
1158.865 1
3.4%
1147.465 1
3.4%
1095.14 1
3.4%
1042.64 1
3.4%
1042.14 1
3.4%
1025.49 1
3.4%
1024.64 1
3.4%
990.93 1
3.4%
974.04 1
3.4%

60.5
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.644534
Minimum5.6975
Maximum99.65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:27.757409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6975
5-th percentile7.6055
Q139.66
median54.15
Q374.4
95-th percentile84.49
Maximum99.65
Range93.9525
Interquartile range (IQR)34.74

Descriptive statistics

Standard deviation26.688009
Coefficient of variation (CV)0.50694739
Kurtosis-0.94627764
Mean52.644534
Median Absolute Deviation (MAD)20.25
Skewness-0.36407465
Sum1526.6915
Variance712.24983
MonotonicityNot monotonic
2023-12-10T15:17:27.957410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
76.65 2
 
6.9%
47.15 2
 
6.9%
5.6975 2
 
6.9%
71.025 1
 
3.4%
40.91 1
 
3.4%
61.85 1
 
3.4%
39.66 1
 
3.4%
52.05 1
 
3.4%
74.1 1
 
3.4%
21.432 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
5.6975 2
6.9%
10.4675 1
3.4%
16.382 1
3.4%
17.56 1
3.4%
19.06 1
3.4%
21.432 1
3.4%
39.66 1
3.4%
40.91 1
3.4%
45.25 1
3.4%
45.85 1
3.4%
ValueCountFrequency (%)
99.65 1
3.4%
85.05 1
3.4%
83.65 1
3.4%
78.6 1
3.4%
78.5 1
3.4%
76.65 2
6.9%
74.4 1
3.4%
74.1 1
3.4%
71.025 1
3.4%
68.75 1
3.4%

1.8135
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.5004379
Minimum0.5512
Maximum5.399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:28.150150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5512
5-th percentile0.6517942
Q11.586
median2.716
Q33.1415
95-th percentile4.70575
Maximum5.399
Range4.8478
Interquartile range (IQR)1.5555

Descriptive statistics

Standard deviation1.2775436
Coefficient of variation (CV)0.51092797
Kurtosis0.072012931
Mean2.5004379
Median Absolute Deviation (MAD)0.6915
Skewness0.32826735
Sum72.512698
Variance1.6321177
MonotonicityNot monotonic
2023-12-10T15:17:28.325465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.5512 1
 
3.4%
0.8231 1
 
3.4%
2.315 1
 
3.4%
5.399 1
 
3.4%
1.586 1
 
3.4%
2.3892 1
 
3.4%
0.594125 1
 
3.4%
3.723 1
 
3.4%
0.8855 1
 
3.4%
2.7694 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
0.5512 1
3.4%
0.594125 1
3.4%
0.738298 1
3.4%
0.7541 1
3.4%
0.8231 1
3.4%
0.8855 1
3.4%
1.458125 1
3.4%
1.586 1
3.4%
1.6885 1
3.4%
2.0345 1
3.4%
ValueCountFrequency (%)
5.399 1
3.4%
5.31825 1
3.4%
3.787 1
3.4%
3.7255 1
3.4%
3.723 1
3.4%
3.4075 1
3.4%
3.3024 1
3.4%
3.1415 1
3.4%
3.0965 1
3.4%
2.9025 1
3.4%

28.74
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.66444
Minimum0
Maximum731.4
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:28.650507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.012
Q18.6
median45.94
Q3165.2
95-th percentile283.6
Maximum731.4
Range731.4
Interquartile range (IQR)156.6

Descriptive statistics

Standard deviation153.89709
Coefficient of variation (CV)1.3659775
Kurtosis8.554269
Mean112.66444
Median Absolute Deviation (MAD)45.91
Skewness2.5044952
Sum3267.2688
Variance23684.315
MonotonicityNot monotonic
2023-12-10T15:17:28.872035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0.0 2
 
6.9%
12.74383333 2
 
6.9%
8.45 1
 
3.4%
0.03 1
 
3.4%
70.0 1
 
3.4%
731.4 1
 
3.4%
258.8 1
 
3.4%
3.32 1
 
3.4%
17.244 1
 
3.4%
0.23212 1
 
3.4%
Other values (17) 17
58.6%
ValueCountFrequency (%)
0.0 2
6.9%
0.03 1
3.4%
0.23212 1
3.4%
3.32 1
3.4%
5.525 1
3.4%
8.45 1
3.4%
8.6 1
3.4%
12.0 1
3.4%
12.74383333 2
6.9%
17.2 1
3.4%
ValueCountFrequency (%)
731.4 1
3.4%
294.4 1
3.4%
267.4 1
3.4%
258.8 1
3.4%
247.8 1
3.4%
217.5 1
3.4%
193.55 1
3.4%
165.2 1
3.4%
155.8 1
3.4%
148.14 1
3.4%

4.6164
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0688471
Minimum0.395
Maximum7.603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:29.413973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.395
5-th percentile0.48813506
Q11.6875
median3.13618
Q33.933
95-th percentile5.7331
Maximum7.603
Range7.208
Interquartile range (IQR)2.2455

Descriptive statistics

Standard deviation1.7336219
Coefficient of variation (CV)0.56490982
Kurtosis0.46452276
Mean3.0688471
Median Absolute Deviation (MAD)1.24054
Skewness0.43378079
Sum88.996565
Variance3.0054447
MonotonicityNot monotonic
2023-12-10T15:17:29.641364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3.3507 2
 
6.9%
4.688 2
 
6.9%
1.448075 2
 
6.9%
3.08295 1
 
3.4%
3.0375 1
 
3.4%
4.9342 1
 
3.4%
0.5594 1
 
3.4%
3.13618 1
 
3.4%
2.6235 1
 
3.4%
4.37672 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
0.395 1
3.4%
0.4406251 1
3.4%
0.5594 1
3.4%
0.6505 1
3.4%
0.84678 1
3.4%
1.448075 2
6.9%
1.6875 1
3.4%
2.59578 1
3.4%
2.6235 1
3.4%
2.7435 1
3.4%
ValueCountFrequency (%)
7.603 1
3.4%
6.2657 1
3.4%
4.9342 1
3.4%
4.717 1
3.4%
4.688 2
6.9%
4.37672 1
3.4%
3.933 1
3.4%
3.5655 1
3.4%
3.5207 1
3.4%
3.3507 2
6.9%

0.0845
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.061913448
Minimum0
Maximum0.2452
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:29.860490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.005
median0.057
Q30.0876
95-th percentile0.1752
Maximum0.2452
Range0.2452
Interquartile range (IQR)0.0826

Descriptive statistics

Standard deviation0.067620855
Coefficient of variation (CV)1.0921836
Kurtosis0.56535373
Mean0.061913448
Median Absolute Deviation (MAD)0.047
Skewness1.1283096
Sum1.79549
Variance0.0045725801
MonotonicityNot monotonic
2023-12-10T15:17:30.092219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 6
20.7%
0.0876 4
13.8%
0.1752 3
10.3%
0.01 2
 
6.9%
0.015 2
 
6.9%
0.0575 2
 
6.9%
0.0609 1
 
3.4%
0.057 1
 
3.4%
0.0976 1
 
3.4%
0.005 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 6
20.7%
0.00417 1
 
3.4%
0.005 1
 
3.4%
0.01 2
 
6.9%
0.0145 1
 
3.4%
0.015 2
 
6.9%
0.03252 1
 
3.4%
0.057 1
 
3.4%
0.0575 2
 
6.9%
0.0609 1
 
3.4%
ValueCountFrequency (%)
0.2452 1
 
3.4%
0.1752 3
10.3%
0.1576 1
 
3.4%
0.0976 1
 
3.4%
0.0876 4
13.8%
0.08 1
 
3.4%
0.0609 1
 
3.4%
0.0575 2
6.9%
0.057 1
 
3.4%
0.03252 1
 
3.4%

574.65
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean591.69342
Minimum139.81
Maximum1291.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:30.301784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum139.81
5-th percentile158.3956
Q1418.9175
median553.32
Q3814.43
95-th percentile966.98
Maximum1291.26
Range1151.45
Interquartile range (IQR)395.5125

Descriptive statistics

Standard deviation273.40916
Coefficient of variation (CV)0.4620791
Kurtosis0.1302847
Mean591.69342
Median Absolute Deviation (MAD)145.476
Skewness0.43016848
Sum17159.109
Variance74752.57
MonotonicityNot monotonic
2023-12-10T15:17:30.511275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
139.81 1
 
3.4%
170.65 1
 
3.4%
515.74 1
 
3.4%
1291.26 1
 
3.4%
327.04 1
 
3.4%
639.448 1
 
3.4%
362.0375 1
 
3.4%
848.08 1
 
3.4%
407.844 1
 
3.4%
504.82 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
139.81 1
3.4%
150.2260047 1
3.4%
170.65 1
3.4%
298.1012 1
3.4%
327.04 1
3.4%
362.0375 1
3.4%
407.844 1
3.4%
418.9175 1
3.4%
441.28 1
3.4%
445.2 1
3.4%
ValueCountFrequency (%)
1291.26 1
3.4%
970.88 1
3.4%
961.13 1
3.4%
898.63 1
3.4%
895.93 1
3.4%
879.63 1
3.4%
848.08 1
3.4%
814.43 1
3.4%
696.93 1
3.4%
662.93 1
3.4%

80.8645
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.295542
Minimum11.498
Maximum127.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:30.706286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.498
5-th percentile29.17885
Q166.58
median78.62
Q389.1
95-th percentile98.5434
Maximum127.37
Range115.872
Interquartile range (IQR)22.52

Descriptive statistics

Standard deviation24.955796
Coefficient of variation (CV)0.34048177
Kurtosis0.85010742
Mean73.295542
Median Absolute Deviation (MAD)11.389
Skewness-0.75768835
Sum2125.5707
Variance622.79176
MonotonicityNot monotonic
2023-12-10T15:17:30.928067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
89.1 2
 
6.9%
89.248 1
 
3.4%
67.231 1
 
3.4%
83.297 1
 
3.4%
65.227 1
 
3.4%
99.138 1
 
3.4%
66.4015 1
 
3.4%
84.207 1
 
3.4%
34.4048 1
 
3.4%
87.4934 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
11.498 1
3.4%
28.5134172 1
3.4%
30.177 1
3.4%
33.2872 1
3.4%
34.4048 1
3.4%
65.227 1
3.4%
66.4015 1
3.4%
66.58 1
3.4%
67.013 1
3.4%
67.231 1
3.4%
ValueCountFrequency (%)
127.37 1
3.4%
99.138 1
3.4%
97.6515 1
3.4%
92.27 1
3.4%
91.8114 1
3.4%
89.248 1
3.4%
89.1 2
6.9%
87.4934 1
3.4%
85.959 1
3.4%
84.207 1
3.4%

9.8
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.782069
Minimum0
Maximum14.7
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:31.080866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.36
95-th percentile9.8
Maximum14.7
Range14.7
Interquartile range (IQR)2.36

Descriptive statistics

Standard deviation4.4653022
Coefficient of variation (CV)1.6050293
Kurtosis0.4679608
Mean2.782069
Median Absolute Deviation (MAD)0
Skewness1.3848382
Sum80.68
Variance19.938924
MonotonicityNot monotonic
2023-12-10T15:17:31.260161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 17
58.6%
9.8 5
 
17.2%
0.98 2
 
6.9%
2.36 2
 
6.9%
8.34 1
 
3.4%
14.7 1
 
3.4%
1.96 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.98 2
 
6.9%
1.96 1
 
3.4%
2.36 2
 
6.9%
8.34 1
 
3.4%
9.8 5
 
17.2%
14.7 1
 
3.4%
ValueCountFrequency (%)
14.7 1
 
3.4%
9.8 5
 
17.2%
8.34 1
 
3.4%
2.36 2
 
6.9%
1.96 1
 
3.4%
0.98 2
 
6.9%
0.0 17
58.6%

14.5905
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.999926
Minimum1.493
Maximum54.8575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:31.466871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.493
5-th percentile1.7392
Q15.916375
median9.9008
Q343.0135
95-th percentile51.4859
Maximum54.8575
Range53.3645
Interquartile range (IQR)37.097125

Descriptive statistics

Standard deviation19.030092
Coefficient of variation (CV)0.95150812
Kurtosis-1.1162642
Mean19.999926
Median Absolute Deviation (MAD)6.6568
Skewness0.78449968
Sum579.99784
Variance362.14439
MonotonicityNot monotonic
2023-12-10T15:17:31.663739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
8.147 1
 
3.4%
3.947 1
 
3.4%
1.706 1
 
3.4%
47.661 1
 
3.4%
3.244 1
 
3.4%
1.789 1
 
3.4%
6.762375 1
 
3.4%
44.7165 1
 
3.4%
26.7185 1
 
3.4%
9.9008 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1.493 1
3.4%
1.706 1
3.4%
1.789 1
3.4%
2.3639243 1
3.4%
3.244 1
3.4%
3.947 1
3.4%
4.3785 1
3.4%
5.916375 1
3.4%
6.49275 1
3.4%
6.762375 1
3.4%
ValueCountFrequency (%)
54.8575 1
3.4%
51.6275 1
3.4%
51.2735 1
3.4%
47.7975 1
3.4%
47.661 1
3.4%
46.5975 1
3.4%
44.7165 1
3.4%
43.0135 1
3.4%
27.1515 1
3.4%
26.7185 1
3.4%

19.063
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.754613
Minimum4.8625069
Maximum83.154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:31.864206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8625069
5-th percentile5.139544
Q110.512
median22.2585
Q326.9945
95-th percentile30.3762
Maximum83.154
Range78.291493
Interquartile range (IQR)16.4825

Descriptive statistics

Standard deviation14.807814
Coefficient of variation (CV)0.71347099
Kurtosis10.944866
Mean20.754613
Median Absolute Deviation (MAD)6.3425
Skewness2.6392332
Sum601.88377
Variance219.27136
MonotonicityNot monotonic
2023-12-10T15:17:32.071394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5.476 1
 
3.4%
4.975 1
 
3.4%
15.521 1
 
3.4%
83.154 1
 
3.4%
10.512 1
 
3.4%
14.7042 1
 
3.4%
8.543875 1
 
3.4%
28.601 1
 
3.4%
6.6991 1
 
3.4%
17.7543 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
4.8625069 1
3.4%
4.975 1
3.4%
5.38636 1
3.4%
5.476 1
3.4%
6.6991 1
3.4%
8.543875 1
3.4%
8.633875 1
3.4%
10.512 1
3.4%
13.1425 1
3.4%
14.7042 1
3.4%
ValueCountFrequency (%)
83.154 1
3.4%
31.03 1
3.4%
29.3955 1
3.4%
28.601 1
3.4%
28.1955 1
3.4%
28.1075 1
3.4%
27.3445 1
3.4%
26.9945 1
3.4%
26.7805 1
3.4%
25.5795 1
3.4%

3.32
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.7527057
Minimum1.0458
Maximum11.4029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:32.381678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0458
5-th percentile1.4946964
Q13.2464
median4.5149
Q36.4679
95-th percentile7.92
Maximum11.4029
Range10.3571
Interquartile range (IQR)3.2215

Descriptive statistics

Standard deviation2.4431778
Coefficient of variation (CV)0.51406041
Kurtosis0.29891847
Mean4.7527057
Median Absolute Deviation (MAD)1.753
Skewness0.63937318
Sum137.82846
Variance5.9691179
MonotonicityNot monotonic
2023-12-10T15:17:32.599504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.5679 3
 
10.3%
6.4679 3
 
10.3%
6.2679 2
 
6.9%
1.0458 1
 
3.4%
1.31575 1
 
3.4%
3.2464 1
 
3.4%
5.9108 1
 
3.4%
3.9414 1
 
3.4%
5.538 1
 
3.4%
1.98535 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
1.0458 1
3.4%
1.31575 1
3.4%
1.763116 1
3.4%
1.98535 1
3.4%
2.01186 1
3.4%
2.5041 1
3.4%
2.92 1
3.4%
3.2464 1
3.4%
3.3 1
3.4%
3.318239 1
3.4%
ValueCountFrequency (%)
11.4029 1
 
3.4%
7.982 1
 
3.4%
7.827 1
 
3.4%
7.8179 1
 
3.4%
7.7099 1
 
3.4%
6.4679 3
10.3%
6.2679 2
6.9%
5.9108 1
 
3.4%
5.538 1
 
3.4%
4.61195 1
 
3.4%

0
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172.4442
Minimum0
Maximum472.10107
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:17:32.799227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.75566867
Q145.124583
median205.99667
Q3274.44333
95-th percentile382.80733
Maximum472.10107
Range472.10107
Interquartile range (IQR)229.31875

Descriptive statistics

Standard deviation139.96346
Coefficient of variation (CV)0.81164492
Kurtosis-1.092431
Mean172.4442
Median Absolute Deviation (MAD)137.83
Skewness0.30369485
Sum5000.8817
Variance19589.77
MonotonicityNot monotonic
2023-12-10T15:17:32.988130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
219.5433333 3
 
10.3%
274.4433333 2
 
6.9%
0.0 2
 
6.9%
302.4433333 2
 
6.9%
59.173 1
 
3.4%
45.72458333 1
 
3.4%
15.82 1
 
3.4%
363.5533333 1
 
3.4%
18.57 1
 
3.4%
32.12 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
0.0 2
6.9%
1.889171667 1
3.4%
15.82 1
3.4%
18.0 1
3.4%
18.57 1
3.4%
32.12 1
3.4%
45.12458333 1
3.4%
45.72458333 1
3.4%
53.18 1
3.4%
59.173 1
3.4%
ValueCountFrequency (%)
472.1010667 1
 
3.4%
395.6433333 1
 
3.4%
363.5533333 1
 
3.4%
335.4433333 1
 
3.4%
313.0766667 1
 
3.4%
302.4433333 2
6.9%
274.4433333 2
6.9%
243.5433333 1
 
3.4%
231.235 1
 
3.4%
219.5433333 3
10.3%

Sample

AF0070500000013250.293.393535.61650.198250.359250.02537.5232.95283.951048.25788.9453.0560.51.813528.744.61640.0845574.6580.86459.814.590519.0633.320
0AF00705000002174.00.00.63743.60820.044360.068190.0967527.02780.6884.4213.45270.65181.0110.46750.55128.451.68750.0609139.8111.4980.08.1475.4761.045859.173
1AF007050000002147.120.01.27458.40240.063230.059010.079453.56432.3185.81007.84272.41257.4917.560.82310.030.3950.0170.6530.1770.983.9474.9752.5041104.841
2AF007050000003169.120.052.0548068.48240.0619320.0727140.06261833.390228.098289.1734738.9542344.72328.663619.060.754140.512.966980.0298.101233.28720.9816.494825.386361.763116472.101067
3AF007050000004517.00.293.4351533.3990.414950.38840.026756.37126.805367.8351441.6351825.26903.5468.752.9025128.543.56550.08895.9385.9590.051.273522.25856.2679274.443333
4AF007050000005540.51.09.545156.89350.515751.043350.262781.115234.255487.0851096.031713.481147.46578.53.787155.82.74350.01970.8897.65158.3451.627531.0311.4029395.643333
5AF007050000006532.01.056.366654.1640.509050.73070.184864.72295.155508.5352530.6352580.76835.0947.152.7445294.44.6880.0876898.6376.750.047.797529.39553.5679335.443333
6AF007050000007350.00.554.9025.0640.348750.48560.1900553.5993.55335.452071.21593.6601.545.252.0345193.553.9330.0445.270.8680.08.36122.58153.368.166667
7AF007050000022471.00.03.74316.8710.252760.303230.19495.797.3274.261146.12876.09990.9374.43.302412.00.846780.015553.3291.81140.012.964819.02337.98218.0
8AF007050000008537.00.13.9031534.6760.266050.2420.318958.59232.005422.6351430.0352058.261042.1499.653.096517.23.52070.1752662.93127.379.87.720523.83457.8179219.543333
9AF007050000009232.00.053.269152.70.086450.14550.225367.665110.005216.835689.335470.91392.5445.851.68858.63.19040.0876441.2867.0130.04.378513.14254.5149231.235
AF0070500000013250.293.393535.61650.198250.359250.02537.5232.95283.951048.25788.9453.0560.51.813528.744.61640.0845574.6580.86459.814.590519.0633.320
19AF007050000018532.01.342.2066534.0490.380550.52320.054852.67283.155489.5351092.1351841.76729.5954.152.3395148.147.6030.1576961.1378.620.054.857526.78053.5679302.443333
20AF007050000023152.230.00.6299424.3216460.0878760.1099210.06563754.564511.71678679.00933541.645152320.66256.0759116.3820.7382980.232120.4406250.00417150.22600528.5134170.02.3639244.8625073.3182391.889172
21AF007050000024451.00.1743.737124.3020.269660.249730.00957.989.5282.561082.321011.69955.6378.62.769417.2442.595780.057504.8287.49340.09.900817.75437.8270.0
22AF007050000019153.40.013.194255.0740.053050.070680.0738626.603654.097114.125910.609342.11200.4721.4320.88553.324.376720.03252407.84434.40480.026.71856.69912.0118653.18
23AF007050000020545.52.96.0511510.9340.33560.96120.095283.12256.805490.835860.932176.931158.86574.13.723258.82.62350.005848.0884.2070.044.716528.6017.7099313.076667
24AF007050000026302.50.0581.01533311.090.1612130.0837250.22901732.65791756.315833211.600833583.03458.74252.4733335.69750.59412512.7438331.4480750.0575362.037566.40152.366.7623758.5438751.9853545.124583
25AF007050000060334.30.03.672310.8640.1330.114060.1578109.611261.71233.1621263.649665.85507.36752.052.38920.03.136180.0639.44899.1389.81.78914.70425.53832.12
26AF007050000061269.50.01.35536.8640.09320.06450.068764.4244.12163.29885.135281.04348.17539.661.5860.00.55940.0327.0465.2271.963.24410.5123.941418.57
27AF007050000062566.00.0521.07433.5140.36950.32591.0365218.421030.511220.273607.313364.911894.4361.855.399731.44.93420.09761291.2683.2970.047.66183.1545.9108363.553333
28AF007050000063281.00.04.92636.8240.18620.33360.08336.4142.02219.25724.48772.56450.4840.912.31570.03.03750.0515.7467.2310.01.70615.5213.246415.82