Overview

Dataset statistics

Number of variables26
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)3.4%
Total size in memory6.7 KiB
Average record size in memory236.6 B

Variable types

Categorical6
Text1
Numeric19

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000031

Alerts

Dataset has 1 (3.4%) duplicate rowsDuplicates
0 is highly imbalanced (63.8%)Imbalance
0.4 is highly imbalanced (53.7%)Imbalance
0.08.1 is highly imbalanced (63.8%)Imbalance
0.5 is highly imbalanced (63.8%)Imbalance
1.13 has 13 (44.8%) zerosZeros
0.1 has 16 (55.2%) zerosZeros
0.16 has 20 (69.0%) zerosZeros
0.2 has 15 (51.7%) zerosZeros
17.5 has 4 (13.8%) zerosZeros
39 has 3 (10.3%) zerosZeros
258 has 3 (10.3%) zerosZeros
9.5 has 14 (48.3%) zerosZeros
0.3 has 4 (13.8%) zerosZeros
1.44 has 21 (72.4%) zerosZeros
139.5 has 3 (10.3%) zerosZeros
24.84 has 4 (13.8%) zerosZeros
2.46 has 10 (34.5%) zerosZeros
4.51 has 5 (17.2%) zerosZeros
1.85 has 10 (34.5%) zerosZeros
0.6 has 17 (58.6%) zerosZeros

Reproduction

Analysis started2023-12-10 06:15:56.414619
Analysis finished2023-12-10 06:15:56.794376
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007040000001
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
AF007040000002
11 
AF007040000001
9 
AF007040000003
9 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF007040000001
2nd rowAF007040000001
3rd rowAF007040000001
4th rowAF007040000001
5th rowAF007040000001

Common Values

ValueCountFrequency (%)
AF007040000002 11
37.9%
AF007040000001 9
31.0%
AF007040000003 9
31.0%

Length

2023-12-10T15:15:56.907231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:57.513455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af007040000002 11
37.9%
af007040000001 9
31.0%
af007040000003 9
31.0%

B002146
Text

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:15:57.725125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters203
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

Unique9 ?
Unique (%)31.0%

Sample

1st rowA002577
2nd rowB003215
3rd rowA000120
4th rowB000925
5th rowA003051
ValueCountFrequency (%)
a002577 3
 
10.3%
a003051 3
 
10.3%
b001241 2
 
6.9%
b003215 2
 
6.9%
a001356 2
 
6.9%
a000239 2
 
6.9%
b002146 2
 
6.9%
b003222 2
 
6.9%
b000925 2
 
6.9%
a000120 1
 
3.4%
Other values (8) 8
27.6%
2023-12-10T15:15:58.183131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 70
34.5%
2 24
 
11.8%
A 18
 
8.9%
1 18
 
8.9%
3 16
 
7.9%
5 15
 
7.4%
B 11
 
5.4%
4 9
 
4.4%
7 7
 
3.4%
9 6
 
3.0%
Other values (2) 9
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
85.7%
Uppercase Letter 29
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 70
40.2%
2 24
 
13.8%
1 18
 
10.3%
3 16
 
9.2%
5 15
 
8.6%
4 9
 
5.2%
7 7
 
4.0%
9 6
 
3.4%
6 5
 
2.9%
8 4
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
A 18
62.1%
B 11
37.9%

Most occurring scripts

ValueCountFrequency (%)
Common 174
85.7%
Latin 29
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 70
40.2%
2 24
 
13.8%
1 18
 
10.3%
3 16
 
9.2%
5 15
 
8.6%
4 9
 
5.2%
7 7
 
4.0%
9 6
 
3.4%
6 5
 
2.9%
8 4
 
2.3%
Latin
ValueCountFrequency (%)
A 18
62.1%
B 11
37.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 70
34.5%
2 24
 
11.8%
A 18
 
8.9%
1 18
 
8.9%
3 16
 
7.9%
5 15
 
7.4%
B 11
 
5.4%
4 9
 
4.4%
7 7
 
3.4%
9 6
 
3.0%
Other values (2) 9
 
4.4%

0
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
0.21
 
2

Length

Max length4
Median length3
Mean length3.0689655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 27
93.1%
0.21 2
 
6.9%

Length

2023-12-10T15:15:58.395701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:58.555668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
0.21 2
 
6.9%

1.13
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25034483
Minimum0
Maximum1.16
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:58.708002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.35
95-th percentile1.148
Maximum1.16
Range1.16
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.39603826
Coefficient of variation (CV)1.581971
Kurtosis1.4034877
Mean0.25034483
Median Absolute Deviation (MAD)0.01
Skewness1.6413311
Sum7.26
Variance0.15684631
MonotonicityNot monotonic
2023-12-10T15:15:58.895994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 13
44.8%
0.01 2
 
6.9%
0.25 2
 
6.9%
0.36 2
 
6.9%
0.05 2
 
6.9%
1.16 2
 
6.9%
1.13 2
 
6.9%
0.59 1
 
3.4%
0.09 1
 
3.4%
0.35 1
 
3.4%
ValueCountFrequency (%)
0.0 13
44.8%
0.01 2
 
6.9%
0.05 2
 
6.9%
0.09 1
 
3.4%
0.25 2
 
6.9%
0.31 1
 
3.4%
0.35 1
 
3.4%
0.36 2
 
6.9%
0.59 1
 
3.4%
1.13 2
 
6.9%
ValueCountFrequency (%)
1.16 2
6.9%
1.13 2
6.9%
0.59 1
3.4%
0.36 2
6.9%
0.35 1
3.4%
0.31 1
3.4%
0.25 2
6.9%
0.09 1
3.4%
0.05 2
6.9%
0.01 2
6.9%

0.1
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6437931
Minimum0
Maximum18
Zeros16
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:59.061011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.68
95-th percentile9.87
Maximum18
Range18
Interquartile range (IQR)0.68

Descriptive statistics

Standard deviation4.0218265
Coefficient of variation (CV)2.4466744
Kurtosis10.463403
Mean1.6437931
Median Absolute Deviation (MAD)0
Skewness3.1932749
Sum47.67
Variance16.175089
MonotonicityNot monotonic
2023-12-10T15:15:59.247802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 16
55.2%
0.68 2
 
6.9%
0.32 2
 
6.9%
0.48 2
 
6.9%
2.72 2
 
6.9%
18.0 1
 
3.4%
1.82 1
 
3.4%
0.4 1
 
3.4%
11.25 1
 
3.4%
7.8 1
 
3.4%
ValueCountFrequency (%)
0.0 16
55.2%
0.32 2
 
6.9%
0.4 1
 
3.4%
0.48 2
 
6.9%
0.68 2
 
6.9%
1.82 1
 
3.4%
2.72 2
 
6.9%
7.8 1
 
3.4%
11.25 1
 
3.4%
18.0 1
 
3.4%
ValueCountFrequency (%)
18.0 1
 
3.4%
11.25 1
 
3.4%
7.8 1
 
3.4%
2.72 2
 
6.9%
1.82 1
 
3.4%
0.68 2
 
6.9%
0.48 2
 
6.9%
0.4 1
 
3.4%
0.32 2
 
6.9%
0.0 16
55.2%

0.08
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
23 
0.06
 
2
0.08
 
2
0.02
 
2

Length

Max length4
Median length3
Mean length3.2068966
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.06
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 23
79.3%
0.06 2
 
6.9%
0.08 2
 
6.9%
0.02 2
 
6.9%

Length

2023-12-10T15:15:59.454829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:15:59.578605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 23
79.3%
0.06 2
 
6.9%
0.08 2
 
6.9%
0.02 2
 
6.9%

0.16
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.017241379
Minimum0
Maximum0.16
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:15:59.697231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.112
Maximum0.16
Range0.16
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.041395009
Coefficient of variation (CV)2.4009105
Kurtosis9.2066829
Mean0.017241379
Median Absolute Deviation (MAD)0
Skewness3.1050683
Sum0.5
Variance0.0017135468
MonotonicityNot monotonic
2023-12-10T15:15:59.887697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 20
69.0%
0.02 3
 
10.3%
0.16 2
 
6.9%
0.04 2
 
6.9%
0.03 1
 
3.4%
0.01 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
0.01 1
 
3.4%
0.02 3
 
10.3%
0.03 1
 
3.4%
0.04 2
 
6.9%
0.16 2
 
6.9%
ValueCountFrequency (%)
0.16 2
 
6.9%
0.04 2
 
6.9%
0.03 1
 
3.4%
0.02 3
 
10.3%
0.01 1
 
3.4%
0.0 20
69.0%

0.2
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.018275862
Minimum0
Maximum0.18
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:00.071161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.066
Maximum0.18
Range0.18
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.036846105
Coefficient of variation (CV)2.0161076
Kurtosis13.435739
Mean0.018275862
Median Absolute Deviation (MAD)0
Skewness3.3907655
Sum0.53
Variance0.0013576355
MonotonicityNot monotonic
2023-12-10T15:16:00.247992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 15
51.7%
0.01 6
 
20.7%
0.02 2
 
6.9%
0.06 2
 
6.9%
0.03 2
 
6.9%
0.07 1
 
3.4%
0.18 1
 
3.4%
ValueCountFrequency (%)
0.0 15
51.7%
0.01 6
 
20.7%
0.02 2
 
6.9%
0.03 2
 
6.9%
0.06 2
 
6.9%
0.07 1
 
3.4%
0.18 1
 
3.4%
ValueCountFrequency (%)
0.18 1
 
3.4%
0.07 1
 
3.4%
0.06 2
 
6.9%
0.03 2
 
6.9%
0.02 2
 
6.9%
0.01 6
 
20.7%
0.0 15
51.7%

17.5
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6058621
Minimum0
Maximum18.7
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:00.443525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.34
median1.02
Q38.72
95-th percentile17.5
Maximum18.7
Range18.7
Interquartile range (IQR)8.38

Descriptive statistics

Standard deviation6.2250545
Coefficient of variation (CV)1.3515504
Kurtosis0.082750977
Mean4.6058621
Median Absolute Deviation (MAD)1.02
Skewness1.2323166
Sum133.57
Variance38.751304
MonotonicityNot monotonic
2023-12-10T15:16:00.654195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 4
13.8%
9.12 2
 
6.9%
0.02 2
 
6.9%
0.6 2
 
6.9%
0.87 2
 
6.9%
8.72 2
 
6.9%
17.5 2
 
6.9%
0.34 2
 
6.9%
1.02 2
 
6.9%
1.24 2
 
6.9%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 4
13.8%
0.02 2
6.9%
0.34 2
6.9%
0.46 1
 
3.4%
0.6 2
6.9%
0.85 1
 
3.4%
0.87 2
6.9%
1.02 2
6.9%
1.24 2
6.9%
2.85 1
 
3.4%
ValueCountFrequency (%)
18.7 1
3.4%
17.5 2
6.9%
14.15 1
3.4%
13.65 1
3.4%
9.12 2
6.9%
8.72 2
6.9%
4.05 1
3.4%
2.85 1
3.4%
1.24 2
6.9%
1.02 2
6.9%

13
Real number (ℝ)

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2017241
Minimum0.04
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:00.853932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.04
Q10.8
median1.6
Q32.94
95-th percentile13
Maximum21
Range20.96
Interquartile range (IQR)2.14

Descriptive statistics

Standard deviation4.9515647
Coefficient of variation (CV)1.5465307
Kurtosis5.7575695
Mean3.2017241
Median Absolute Deviation (MAD)1.34
Skewness2.4440155
Sum92.85
Variance24.517993
MonotonicityNot monotonic
2023-12-10T15:16:01.009387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.04 3
 
10.3%
1.8 3
 
10.3%
1.12 2
 
6.9%
1.08 2
 
6.9%
2.94 2
 
6.9%
3.01 2
 
6.9%
13.0 2
 
6.9%
0.96 2
 
6.9%
1.6 2
 
6.9%
2.0 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.04 3
10.3%
0.16 1
 
3.4%
0.17 1
 
3.4%
0.18 1
 
3.4%
0.2 1
 
3.4%
0.8 1
 
3.4%
0.96 2
6.9%
1.08 2
6.9%
1.12 2
6.9%
1.6 2
6.9%
ValueCountFrequency (%)
21.0 1
 
3.4%
13.0 2
6.9%
11.2 1
 
3.4%
4.2 1
 
3.4%
3.01 2
6.9%
2.94 2
6.9%
2.0 1
 
3.4%
1.8 3
10.3%
1.6 2
6.9%
1.12 2
6.9%

39
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4041379
Minimum0
Maximum64.2
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:01.183956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.48
median1.92
Q35.9
95-th percentile39
Maximum64.2
Range64.2
Interquartile range (IQR)5.42

Descriptive statistics

Standard deviation15.322269
Coefficient of variation (CV)1.8231815
Kurtosis6.1153305
Mean8.4041379
Median Absolute Deviation (MAD)1.91
Skewness2.5130708
Sum243.72
Variance234.77193
MonotonicityNot monotonic
2023-12-10T15:16:01.378094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 3
 
10.3%
1.92 2
 
6.9%
0.01 2
 
6.9%
2.34 2
 
6.9%
4.62 2
 
6.9%
11.34 2
 
6.9%
39.0 2
 
6.9%
0.48 2
 
6.9%
1.8 2
 
6.9%
1.52 2
 
6.9%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 3
10.3%
0.01 2
6.9%
0.36 1
 
3.4%
0.4 1
 
3.4%
0.48 2
6.9%
1.5 1
 
3.4%
1.52 2
6.9%
1.8 2
6.9%
1.92 2
6.9%
2.34 2
6.9%
ValueCountFrequency (%)
64.2 1
3.4%
39.0 2
6.9%
31.5 1
3.4%
11.34 2
6.9%
8.25 1
3.4%
5.9 1
3.4%
5.55 1
3.4%
4.62 2
6.9%
2.34 2
6.9%
1.92 2
6.9%

258
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.311379
Minimum0
Maximum258
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:01.578825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.18
median8.7
Q333.6
95-th percentile185.656
Maximum258
Range258
Interquartile range (IQR)33.42

Descriptive statistics

Standard deviation66.017873
Coefficient of variation (CV)1.9818415
Kurtosis8.5841938
Mean33.311379
Median Absolute Deviation (MAD)8.6
Skewness2.9757517
Sum966.03
Variance4358.3596
MonotonicityNot monotonic
2023-12-10T15:16:01.760376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
33.6 3
10.3%
0.0 3
10.3%
0.48 2
 
6.9%
0.18 2
 
6.9%
77.14 2
 
6.9%
10.64 2
 
6.9%
258.0 2
 
6.9%
40.02 2
 
6.9%
0.12 2
 
6.9%
1.2 2
 
6.9%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 3
10.3%
0.1 1
 
3.4%
0.12 2
6.9%
0.18 2
6.9%
0.48 2
6.9%
1.2 2
6.9%
1.5 1
 
3.4%
3.7 1
 
3.4%
8.7 1
 
3.4%
10.64 2
6.9%
ValueCountFrequency (%)
258.0 2
6.9%
77.14 2
6.9%
40.25 1
 
3.4%
40.02 2
6.9%
33.6 3
10.3%
21.3 1
 
3.4%
14.12 1
 
3.4%
10.64 2
6.9%
8.7 1
 
3.4%
3.7 1
 
3.4%

50
Real number (ℝ)

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.204138
Minimum0.01
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:01.928596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.046
Q14
median6
Q315
95-th percentile50
Maximum50
Range49.99
Interquartile range (IQR)11

Descriptive statistics

Standard deviation15.007048
Coefficient of variation (CV)1.2296688
Kurtosis2.2525333
Mean12.204138
Median Absolute Deviation (MAD)5.9
Skewness1.7515877
Sum353.92
Variance225.21149
MonotonicityNot monotonic
2023-12-10T15:16:02.106884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
6.0 6
20.7%
0.1 3
10.3%
50.0 3
10.3%
4.0 2
 
6.9%
16.0 2
 
6.9%
7.0 2
 
6.9%
14.0 2
 
6.9%
0.01 2
 
6.9%
0.3 2
 
6.9%
15.0 1
 
3.4%
Other values (4) 4
13.8%
ValueCountFrequency (%)
0.01 2
 
6.9%
0.1 3
10.3%
0.3 2
 
6.9%
4.0 2
 
6.9%
5.0 1
 
3.4%
6.0 6
20.7%
7.0 2
 
6.9%
10.0 1
 
3.4%
14.0 2
 
6.9%
15.0 1
 
3.4%
ValueCountFrequency (%)
50.0 3
10.3%
30.0 1
 
3.4%
25.0 1
 
3.4%
16.0 2
 
6.9%
15.0 1
 
3.4%
14.0 2
 
6.9%
10.0 1
 
3.4%
7.0 2
 
6.9%
6.0 6
20.7%
5.0 1
 
3.4%

49
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.742759
Minimum0.1
Maximum242.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:02.281950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.134
Q12.94
median8.64
Q315.8
95-th percentile69.24
Maximum242.5
Range242.4
Interquartile range (IQR)12.86

Descriptive statistics

Standard deviation47.261273
Coefficient of variation (CV)1.9101052
Kurtosis16.721043
Mean24.742759
Median Absolute Deviation (MAD)7.16
Skewness3.7799882
Sum717.54
Variance2233.6279
MonotonicityNot monotonic
2023-12-10T15:16:02.486866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.14 3
 
10.3%
15.8 2
 
6.9%
8.64 2
 
6.9%
3.06 2
 
6.9%
8.48 2
 
6.9%
10.01 2
 
6.9%
2.94 2
 
6.9%
49.0 2
 
6.9%
11.76 2
 
6.9%
0.1 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.1 1
 
3.4%
0.13 1
 
3.4%
0.14 3
10.3%
0.57 1
 
3.4%
1.59 1
 
3.4%
2.94 2
6.9%
3.06 2
6.9%
7.2 1
 
3.4%
8.48 2
6.9%
8.64 2
6.9%
ValueCountFrequency (%)
242.5 1
3.4%
73.5 1
3.4%
62.85 1
3.4%
55.5 1
3.4%
53.8 1
3.4%
49.0 2
6.9%
15.8 2
6.9%
11.76 2
6.9%
10.01 2
6.9%
8.64 2
6.9%

9.5
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6117241
Minimum0
Maximum11.5
Zeros14
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:02.665100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.03
Q30.84
95-th percentile9.5
Maximum11.5
Range11.5
Interquartile range (IQR)0.84

Descriptive statistics

Standard deviation3.346146
Coefficient of variation (CV)2.0761283
Kurtosis3.4248879
Mean1.6117241
Median Absolute Deviation (MAD)0.03
Skewness2.2007194
Sum46.74
Variance11.196693
MonotonicityNot monotonic
2023-12-10T15:16:02.846081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 14
48.3%
0.84 4
 
13.8%
0.48 2
 
6.9%
0.24 2
 
6.9%
9.5 2
 
6.9%
11.5 1
 
3.4%
2.55 1
 
3.4%
0.03 1
 
3.4%
0.76 1
 
3.4%
8.1 1
 
3.4%
ValueCountFrequency (%)
0.0 14
48.3%
0.03 1
 
3.4%
0.24 2
 
6.9%
0.48 2
 
6.9%
0.76 1
 
3.4%
0.84 4
 
13.8%
2.55 1
 
3.4%
8.1 1
 
3.4%
9.5 2
 
6.9%
11.5 1
 
3.4%
ValueCountFrequency (%)
11.5 1
 
3.4%
9.5 2
 
6.9%
8.1 1
 
3.4%
2.55 1
 
3.4%
0.84 4
 
13.8%
0.76 1
 
3.4%
0.48 2
 
6.9%
0.24 2
 
6.9%
0.03 1
 
3.4%
0.0 14
48.3%

0.3
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.15103448
Minimum0
Maximum2.18
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:03.030654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.03
Q30.11
95-th percentile0.318
Maximum2.18
Range2.18
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.40306278
Coefficient of variation (CV)2.6686805
Kurtosis25.084287
Mean0.15103448
Median Absolute Deviation (MAD)0.03
Skewness4.876446
Sum4.38
Variance0.16245961
MonotonicityNot monotonic
2023-12-10T15:16:03.189821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 4
13.8%
0.01 4
13.8%
0.03 4
13.8%
0.02 4
13.8%
0.3 3
10.3%
0.06 2
6.9%
0.1 2
6.9%
0.11 2
6.9%
0.05 1
 
3.4%
0.33 1
 
3.4%
Other values (2) 2
6.9%
ValueCountFrequency (%)
0.0 4
13.8%
0.01 4
13.8%
0.02 4
13.8%
0.03 4
13.8%
0.05 1
 
3.4%
0.06 2
6.9%
0.1 2
6.9%
0.11 2
6.9%
0.14 1
 
3.4%
0.3 3
10.3%
ValueCountFrequency (%)
2.18 1
 
3.4%
0.33 1
 
3.4%
0.3 3
10.3%
0.14 1
 
3.4%
0.11 2
6.9%
0.1 2
6.9%
0.06 2
6.9%
0.05 1
 
3.4%
0.03 4
13.8%
0.02 4
13.8%

0.4
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
24 
33.25
 
2
13.44
 
2
25.2
 
1

Length

Max length5
Median length3
Mean length3.3103448
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 24
82.8%
33.25 2
 
6.9%
13.44 2
 
6.9%
25.2 1
 
3.4%

Length

2023-12-10T15:16:03.389668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:16:03.576482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 24
82.8%
33.25 2
 
6.9%
13.44 2
 
6.9%
25.2 1
 
3.4%

1.44
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.18862069
Minimum0
Maximum1.44
Zeros21
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:03.717830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile1.288
Maximum1.44
Range1.44
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.44158581
Coefficient of variation (CV)2.3411314
Kurtosis3.7337209
Mean0.18862069
Median Absolute Deviation (MAD)0
Skewness2.2680055
Sum5.47
Variance0.19499803
MonotonicityNot monotonic
2023-12-10T15:16:03.857878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 21
72.4%
0.22 2
 
6.9%
1.06 2
 
6.9%
1.44 2
 
6.9%
0.01 1
 
3.4%
0.02 1
 
3.4%
ValueCountFrequency (%)
0.0 21
72.4%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.22 2
 
6.9%
1.06 2
 
6.9%
1.44 2
 
6.9%
ValueCountFrequency (%)
1.44 2
 
6.9%
1.06 2
 
6.9%
0.22 2
 
6.9%
0.02 1
 
3.4%
0.01 1
 
3.4%
0.0 21
72.4%

0.08.1
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
0.08
 
2

Length

Max length4
Median length3
Mean length3.0689655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 27
93.1%
0.08 2
 
6.9%

Length

2023-12-10T15:16:04.024520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:16:04.168398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
0.08 2
 
6.9%

139.5
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.863793
Minimum0
Maximum139.5
Zeros3
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:04.311573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.95
median2.04
Q333
95-th percentile120.436
Maximum139.5
Range139.5
Interquartile range (IQR)32.05

Descriptive statistics

Standard deviation41.085423
Coefficient of variation (CV)1.7216636
Kurtosis2.9652658
Mean23.863793
Median Absolute Deviation (MAD)2.04
Skewness1.971196
Sum692.05
Variance1688.012
MonotonicityNot monotonic
2023-12-10T15:16:04.486535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 3
 
10.3%
38.88 2
 
6.9%
1.7 2
 
6.9%
0.84 2
 
6.9%
91.84 2
 
6.9%
9.66 2
 
6.9%
139.5 2
 
6.9%
5.52 2
 
6.9%
2.04 2
 
6.9%
1.36 2
 
6.9%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 3
10.3%
0.03 1
 
3.4%
0.04 1
 
3.4%
0.84 2
6.9%
0.95 1
 
3.4%
1.2 1
 
3.4%
1.36 2
6.9%
1.7 2
6.9%
2.04 2
6.9%
5.52 2
6.9%
ValueCountFrequency (%)
139.5 2
6.9%
91.84 2
6.9%
59.1 1
3.4%
38.88 2
6.9%
33.0 1
3.4%
9.66 2
6.9%
8.55 1
3.4%
6.5 1
3.4%
5.52 2
6.9%
2.04 2
6.9%

24.84
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0334483
Minimum0
Maximum24.84
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:04.710058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.17
median0.34
Q31.52
95-th percentile18.928
Maximum24.84
Range24.84
Interquartile range (IQR)1.35

Descriptive statistics

Standard deviation6.6431583
Coefficient of variation (CV)2.1899692
Kurtosis7.0756583
Mean3.0334483
Median Absolute Deviation (MAD)0.33
Skewness2.7535511
Sum87.97
Variance44.131552
MonotonicityNot monotonic
2023-12-10T15:16:04.897558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 4
13.8%
10.06 2
 
6.9%
0.01 2
 
6.9%
0.18 2
 
6.9%
0.32 2
 
6.9%
0.2 2
 
6.9%
24.84 2
 
6.9%
1.52 2
 
6.9%
0.5 2
 
6.9%
0.34 2
 
6.9%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 4
13.8%
0.01 2
6.9%
0.12 1
 
3.4%
0.17 1
 
3.4%
0.18 2
6.9%
0.2 2
6.9%
0.32 2
6.9%
0.34 2
6.9%
0.38 1
 
3.4%
0.42 1
 
3.4%
ValueCountFrequency (%)
24.84 2
6.9%
10.06 2
6.9%
7.3 1
3.4%
2.04 1
3.4%
1.6 1
3.4%
1.52 2
6.9%
0.5 2
6.9%
0.42 1
3.4%
0.38 1
3.4%
0.34 2
6.9%

0.5
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
8.48
 
2

Length

Max length4
Median length3
Mean length3.0689655
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 27
93.1%
8.48 2
 
6.9%

Length

2023-12-10T15:16:05.105746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:16:05.255708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
8.48 2
 
6.9%

2.46
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98655172
Minimum0
Maximum9.93
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:05.393596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02
Q30.1
95-th percentile6.942
Maximum9.93
Range9.93
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation2.5858879
Coefficient of variation (CV)2.6211377
Kurtosis9.3475603
Mean0.98655172
Median Absolute Deviation (MAD)0.02
Skewness3.1485553
Sum28.61
Variance6.6868163
MonotonicityNot monotonic
2023-12-10T15:16:05.563308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 10
34.5%
0.01 4
 
13.8%
0.02 4
 
13.8%
0.57 2
 
6.9%
9.93 2
 
6.9%
2.46 2
 
6.9%
0.04 2
 
6.9%
0.1 1
 
3.4%
2.34 1
 
3.4%
0.05 1
 
3.4%
ValueCountFrequency (%)
0.0 10
34.5%
0.01 4
 
13.8%
0.02 4
 
13.8%
0.04 2
 
6.9%
0.05 1
 
3.4%
0.1 1
 
3.4%
0.57 2
 
6.9%
2.34 1
 
3.4%
2.46 2
 
6.9%
9.93 2
 
6.9%
ValueCountFrequency (%)
9.93 2
 
6.9%
2.46 2
 
6.9%
2.34 1
 
3.4%
0.57 2
 
6.9%
0.1 1
 
3.4%
0.05 1
 
3.4%
0.04 2
 
6.9%
0.02 4
 
13.8%
0.01 4
 
13.8%
0.0 10
34.5%

4.51
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79482759
Minimum0
Maximum8.94
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:05.720674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.04
median0.06
Q30.27
95-th percentile4.51
Maximum8.94
Range8.94
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation1.946465
Coefficient of variation (CV)2.4489147
Kurtosis11.416544
Mean0.79482759
Median Absolute Deviation (MAD)0.06
Skewness3.3004273
Sum23.05
Variance3.7887259
MonotonicityNot monotonic
2023-12-10T15:16:05.863641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0.0 5
17.2%
0.04 4
13.8%
0.06 4
13.8%
0.07 2
 
6.9%
0.83 2
 
6.9%
0.27 2
 
6.9%
4.51 2
 
6.9%
1.4 1
 
3.4%
0.18 1
 
3.4%
0.05 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0.0 5
17.2%
0.02 1
 
3.4%
0.03 1
 
3.4%
0.04 4
13.8%
0.05 1
 
3.4%
0.06 4
13.8%
0.07 2
 
6.9%
0.18 1
 
3.4%
0.22 1
 
3.4%
0.27 2
 
6.9%
ValueCountFrequency (%)
8.94 1
 
3.4%
4.51 2
6.9%
1.4 1
 
3.4%
0.83 2
6.9%
0.45 1
 
3.4%
0.27 2
6.9%
0.22 1
 
3.4%
0.18 1
 
3.4%
0.07 2
6.9%
0.06 4
13.8%

1.85
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.25172414
Minimum0
Maximum1.85
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:06.011055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.07
Q30.22
95-th percentile1.41
Maximum1.85
Range1.85
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.48805788
Coefficient of variation (CV)1.9388601
Kurtosis6.9627441
Mean0.25172414
Median Absolute Deviation (MAD)0.07
Skewness2.7041404
Sum7.3
Variance0.23820049
MonotonicityNot monotonic
2023-12-10T15:16:06.176803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 10
34.5%
0.04 2
 
6.9%
0.12 2
 
6.9%
0.09 2
 
6.9%
0.07 2
 
6.9%
0.22 2
 
6.9%
1.85 2
 
6.9%
0.7 1
 
3.4%
0.75 1
 
3.4%
0.08 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 10
34.5%
0.01 1
 
3.4%
0.04 2
 
6.9%
0.07 2
 
6.9%
0.08 1
 
3.4%
0.09 2
 
6.9%
0.1 1
 
3.4%
0.12 2
 
6.9%
0.22 2
 
6.9%
0.28 1
 
3.4%
ValueCountFrequency (%)
1.85 2
6.9%
0.75 1
3.4%
0.7 1
3.4%
0.6 1
3.4%
0.28 1
3.4%
0.22 2
6.9%
0.12 2
6.9%
0.1 1
3.4%
0.09 2
6.9%
0.08 1
3.4%

0.6
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5927586
Minimum0
Maximum50.27
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:16:06.344967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.8
95-th percentile48.414
Maximum50.27
Range50.27
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation14.973124
Coefficient of variation (CV)2.2711471
Kurtosis5.1379599
Mean6.5927586
Median Absolute Deviation (MAD)0
Skewness2.5197057
Sum191.19
Variance224.19446
MonotonicityNot monotonic
2023-12-10T15:16:06.527968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0.0 17
58.6%
50.27 2
 
6.9%
10.71 2
 
6.9%
2.8 2
 
6.9%
0.3 1
 
3.4%
0.02 1
 
3.4%
8.4 1
 
3.4%
0.01 1
 
3.4%
45.63 1
 
3.4%
9.27 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.01 1
 
3.4%
0.02 1
 
3.4%
0.3 1
 
3.4%
2.8 2
 
6.9%
8.4 1
 
3.4%
9.27 1
 
3.4%
10.71 2
 
6.9%
45.63 1
 
3.4%
50.27 2
 
6.9%
ValueCountFrequency (%)
50.27 2
 
6.9%
45.63 1
 
3.4%
10.71 2
 
6.9%
9.27 1
 
3.4%
8.4 1
 
3.4%
2.8 2
 
6.9%
0.3 1
 
3.4%
0.02 1
 
3.4%
0.01 1
 
3.4%
0.0 17
58.6%

Sample

AF007040000001B00214601.130.10.080.160.217.5133925850499.50.30.41.440.08.1139.524.840.52.464.511.850.6
0AF007040000001A0025770.00.00.00.00.00.00.00.040.033.60.10.140.00.00.00.00.00.00.00.00.00.00.00.0
1AF007040000001B0032150.00.00.680.00.00.00.61.082.340.186.011.760.840.010.00.00.00.840.180.00.00.070.040.0
2AF007040000001A0001200.00.018.00.060.030.0713.652.031.51.550.0242.511.50.30.00.010.033.07.30.00.01.40.70.0
3AF007040000001B0009250.00.010.320.00.00.01.241.61.521.24.015.80.480.030.00.00.01.360.340.00.00.040.1250.27
4AF007040000001A0030510.00.00.480.00.00.011.020.961.80.126.08.640.00.020.00.00.02.040.50.00.010.060.090.0
5AF007040000001B0032220.00.250.00.00.00.020.341.80.4840.026.03.060.240.060.00.00.05.521.520.00.020.040.070.0
6AF007040000001B0012410.00.362.720.00.00.069.121.121.920.4816.08.480.00.030.00.00.038.8810.068.480.020.060.220.0
7AF007040000001A0002390.210.050.00.00.020.08.723.0111.3410.647.010.010.840.133.250.220.09.660.20.00.570.830.010.71
8AF007040000001A0013560.01.160.00.00.00.010.872.944.6277.1414.02.940.00.1113.441.060.091.840.320.09.930.270.02.8
9AF007040000002B0021460.01.130.00.080.160.017.513.039.0258.050.049.09.50.30.01.440.08139.524.840.02.464.511.850.0
AF007040000001B00214601.130.10.080.160.217.5133925850499.50.30.41.440.08.1139.524.840.52.464.511.850.6
19AF007040000002A0025770.00.00.00.00.00.00.00.040.033.60.10.140.00.00.00.00.00.00.00.00.00.00.00.0
20AF007040000003A0030510.00.00.40.00.00.010.850.81.50.15.07.20.00.020.00.00.01.70.420.00.010.050.080.0
21AF007040000003A0031820.00.00.00.00.00.00.020.160.010.00.010.130.030.00.00.00.00.030.010.00.00.00.00.0
22AF007040000003A0039070.00.00.00.00.00.00.460.20.414.120.31.590.760.020.00.00.01.20.170.00.040.030.10.3
23AF007040000003A0040680.00.00.00.00.00.00.00.170.010.00.010.10.00.010.00.00.00.040.010.00.00.00.00.02
24AF007040000003B0008340.00.090.00.020.040.184.054.264.221.330.073.58.10.3325.20.00.059.10.00.02.348.940.08.4
25AF007040000003A0014190.00.00.00.00.00.010.020.180.368.70.30.570.00.010.00.00.00.950.120.00.040.020.010.01
26AF007040000003B0021460.01.130.00.080.160.017.513.039.0258.050.049.09.50.30.01.440.08139.524.840.02.464.511.850.0
27AF007040000003A0022830.00.3511.250.060.040.0314.1521.08.2540.2525.055.50.02.180.00.00.06.51.60.00.050.450.645.63
28AF007040000003A0035510.00.317.80.020.010.0318.711.25.93.710.053.80.00.140.00.00.01.70.380.00.010.220.289.27

Duplicate rows

Most frequently occurring

AF007040000001B00214601.130.10.080.160.217.5133925850499.50.30.41.440.08.1139.524.840.52.464.511.850.6# duplicates
0AF007040000002A0025770.00.00.00.00.00.00.00.040.033.60.10.140.00.00.00.00.00.00.00.00.00.00.00.02