Overview

Dataset statistics

Number of variables26
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)6.9%
Total size in memory6.7 KiB
Average record size in memory236.6 B

Variable types

Categorical9
Text1
Numeric16

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000032

Alerts

Dataset has 2 (6.9%) duplicate rowsDuplicates
0 is highly imbalanced (78.4%)Imbalance
0.2 is highly imbalanced (67.8%)Imbalance
0.4 is highly imbalanced (72.8%)Imbalance
0.5 is highly imbalanced (72.8%)Imbalance
0.24 has 16 (55.2%) zerosZeros
0.1 has 18 (62.1%) zerosZeros
20.8 has 11 (37.9%) zerosZeros
19.2 has 1 (3.4%) zerosZeros
133.6 has 7 (24.1%) zerosZeros
1.6 has 2 (6.9%) zerosZeros
187.2 has 1 (3.4%) zerosZeros
36.8 has 17 (58.6%) zerosZeros
1.05 has 11 (37.9%) zerosZeros
0.27 has 21 (72.4%) zerosZeros
292 has 2 (6.9%) zerosZeros
61.31 has 5 (17.2%) zerosZeros
1.02 has 12 (41.4%) zerosZeros
9.42 has 10 (34.5%) zerosZeros
2.16 has 17 (58.6%) zerosZeros

Reproduction

Analysis started2023-12-10 06:13:09.543095
Analysis finished2023-12-10 06:13:09.859874
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007050000001
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
AF007050000002
15 
AF007050000001
8 
AF007050000003
6 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF007050000001
2nd rowAF007050000001
3rd rowAF007050000001
4th rowAF007050000001
5th rowAF007050000001

Common Values

ValueCountFrequency (%)
AF007050000002 15
51.7%
AF007050000001 8
27.6%
AF007050000003 6
 
20.7%

Length

2023-12-10T15:13:09.965364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:10.119767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af007050000002 15
51.7%
af007050000001 8
27.6%
af007050000003 6
 
20.7%

A004160
Text

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:13:10.311755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters203
Distinct characters14
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

Unique10 ?
Unique (%)34.5%

Sample

1st rowA003050
2nd rowB001937
3rd rowB001335
4th rowB000358
5th rowA003297
ValueCountFrequency (%)
d012542 5
17.2%
a004491 2
 
6.9%
a003297 2
 
6.9%
a002577 2
 
6.9%
a003742 2
 
6.9%
a004160 2
 
6.9%
a003050 2
 
6.9%
b001335 2
 
6.9%
a002084 1
 
3.4%
g006720 1
 
3.4%
Other values (8) 8
27.6%
2023-12-10T15:13:10.663918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 66
32.5%
2 25
 
12.3%
4 21
 
10.3%
A 18
 
8.9%
5 14
 
6.9%
1 13
 
6.4%
3 13
 
6.4%
7 11
 
5.4%
9 6
 
3.0%
D 5
 
2.5%
Other values (4) 11
 
5.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
37.9%
2 25
 
14.4%
4 21
 
12.1%
5 14
 
8.0%
1 13
 
7.5%
3 13
 
7.5%
7 11
 
6.3%
9 6
 
3.4%
6 3
 
1.7%
8 2
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
A 18
62.1%
D 5
 
17.2%
B 5
 
17.2%
G 1
 
3.4%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 66
37.9%
2 25
 
14.4%
4 21
 
12.1%
5 14
 
8.0%
1 13
 
7.5%
3 13
 
7.5%
7 11
 
6.3%
9 6
 
3.4%
6 3
 
1.7%
8 2
 
1.1%
Latin
ValueCountFrequency (%)
A 18
62.1%
D 5
 
17.2%
B 5
 
17.2%
G 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 66
32.5%
2 25
 
12.3%
4 21
 
10.3%
A 18
 
8.9%
5 14
 
6.9%
1 13
 
6.4%
3 13
 
6.4%
7 11
 
5.4%
9 6
 
3.0%
D 5
 
2.5%
Other values (4) 11
 
5.4%

0
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
28 
0.29
 
1

Length

Max length4
Median length3
Mean length3.0344828
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0.0
2nd row0.29
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 28
96.6%
0.29 1
 
3.4%

Length

2023-12-10T15:13:10.843259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:10.953941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 28
96.6%
0.29 1
 
3.4%

0.24
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20241379
Minimum0
Maximum2.13
Zeros16
Zeros (%)55.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:11.069296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.09
95-th percentile0.798
Maximum2.13
Range2.13
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.44980675
Coefficient of variation (CV)2.2222139
Kurtosis11.992023
Mean0.20241379
Median Absolute Deviation (MAD)0
Skewness3.2169765
Sum5.87
Variance0.20232611
MonotonicityNot monotonic
2023-12-10T15:13:11.220908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 16
55.2%
0.01 2
 
6.9%
0.72 2
 
6.9%
0.09 2
 
6.9%
0.29 1
 
3.4%
2.13 1
 
3.4%
0.08 1
 
3.4%
0.23 1
 
3.4%
0.02 1
 
3.4%
0.85 1
 
3.4%
ValueCountFrequency (%)
0.0 16
55.2%
0.01 2
 
6.9%
0.02 1
 
3.4%
0.08 1
 
3.4%
0.09 2
 
6.9%
0.23 1
 
3.4%
0.29 1
 
3.4%
0.63 1
 
3.4%
0.72 2
 
6.9%
0.85 1
 
3.4%
ValueCountFrequency (%)
2.13 1
3.4%
0.85 1
3.4%
0.72 2
6.9%
0.63 1
3.4%
0.29 1
3.4%
0.23 1
3.4%
0.09 2
6.9%
0.08 1
3.4%
0.02 1
3.4%
0.01 2
6.9%

0.1
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6731034
Minimum0
Maximum29.89
Zeros18
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:11.379456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.65
95-th percentile4.572
Maximum29.89
Range29.89
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation5.5796308
Coefficient of variation (CV)3.3348988
Kurtosis25.612457
Mean1.6731034
Median Absolute Deviation (MAD)0
Skewness4.9512343
Sum48.52
Variance31.132279
MonotonicityNot monotonic
2023-12-10T15:13:11.561275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 18
62.1%
1.76 1
 
3.4%
29.89 1
 
3.4%
1.4 1
 
3.4%
2.57 1
 
3.4%
2.33 1
 
3.4%
0.65 1
 
3.4%
4.62 1
 
3.4%
0.56 1
 
3.4%
0.22 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 18
62.1%
0.02 1
 
3.4%
0.22 1
 
3.4%
0.56 1
 
3.4%
0.65 1
 
3.4%
1.4 1
 
3.4%
1.76 1
 
3.4%
2.33 1
 
3.4%
2.57 1
 
3.4%
4.5 1
 
3.4%
ValueCountFrequency (%)
29.89 1
3.4%
4.62 1
3.4%
4.5 1
3.4%
2.57 1
3.4%
2.33 1
3.4%
1.76 1
3.4%
1.4 1
3.4%
0.65 1
3.4%
0.56 1
3.4%
0.22 1
3.4%

0.06
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
21 
0.01
4 
0.02
3 
0.11
 
1

Length

Max length4
Median length3
Mean length3.2758621
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0.01
2nd row0.11
3rd row0.01
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 21
72.4%
0.01 4
 
13.8%
0.02 3
 
10.3%
0.11 1
 
3.4%

Length

2023-12-10T15:13:11.756858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:11.907393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
72.4%
0.01 4
 
13.8%
0.02 3
 
10.3%
0.11 1
 
3.4%

0.04
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
21 
0.01
4 
0.02
 
2
0.05
 
1
0.24
 
1

Length

Max length4
Median length3
Mean length3.2758621
Min length3

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0.0
2nd row0.05
3rd row0.02
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 21
72.4%
0.01 4
 
13.8%
0.02 2
 
6.9%
0.05 1
 
3.4%
0.24 1
 
3.4%

Length

2023-12-10T15:13:12.078788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:12.237093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
72.4%
0.01 4
 
13.8%
0.02 2
 
6.9%
0.05 1
 
3.4%
0.24 1
 
3.4%

0.2
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
26 
0.03
 
1
0.06
 
1
0.04
 
1

Length

Max length4
Median length3
Mean length3.1034483
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

1st row0.0
2nd row0.0
3rd row0.03
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 26
89.7%
0.03 1
 
3.4%
0.06 1
 
3.4%
0.04 1
 
3.4%

Length

2023-12-10T15:13:12.368233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:12.474900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 26
89.7%
0.03 1
 
3.4%
0.06 1
 
3.4%
0.04 1
 
3.4%

20.8
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2834483
Minimum0
Maximum37.95
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:12.575279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.15
Q33.3
95-th percentile13.128
Maximum37.95
Range37.95
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation7.5868685
Coefficient of variation (CV)2.3106405
Kurtosis16.409502
Mean3.2834483
Median Absolute Deviation (MAD)0.15
Skewness3.8371099
Sum95.22
Variance57.560573
MonotonicityNot monotonic
2023-12-10T15:13:12.681735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 11
37.9%
0.15 5
17.2%
7.8 2
 
6.9%
3.3 1
 
3.4%
2.0 1
 
3.4%
4.32 1
 
3.4%
1.7 1
 
3.4%
5.4 1
 
3.4%
3.44 1
 
3.4%
1.21 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
0.0 11
37.9%
0.15 5
17.2%
0.69 1
 
3.4%
1.21 1
 
3.4%
1.7 1
 
3.4%
2.0 1
 
3.4%
2.18 1
 
3.4%
3.3 1
 
3.4%
3.44 1
 
3.4%
4.32 1
 
3.4%
ValueCountFrequency (%)
37.95 1
3.4%
16.68 1
3.4%
7.8 2
6.9%
5.4 1
3.4%
4.32 1
3.4%
3.44 1
3.4%
3.3 1
3.4%
2.18 1
3.4%
2.0 1
3.4%
1.7 1
3.4%

19.2
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9634483
Minimum0
Maximum15.51
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:12.787088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.026
Q10.29
median0.5
Q32.15
95-th percentile7.2
Maximum15.51
Range15.51
Interquartile range (IQR)1.86

Descriptive statistics

Standard deviation3.285914
Coefficient of variation (CV)1.6735424
Kurtosis10.08736
Mean1.9634483
Median Absolute Deviation (MAD)0.45
Skewness2.9261034
Sum56.94
Variance10.797231
MonotonicityNot monotonic
2023-12-10T15:13:12.890989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0.29 5
17.2%
0.5 2
 
6.9%
0.05 2
 
6.9%
0.06 2
 
6.9%
0.6 2
 
6.9%
7.2 2
 
6.9%
4.5 1
 
3.4%
2.8 1
 
3.4%
2.1 1
 
3.4%
0.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.01 1
 
3.4%
0.05 2
 
6.9%
0.06 2
 
6.9%
0.08 1
 
3.4%
0.29 5
17.2%
0.3 1
 
3.4%
0.5 2
 
6.9%
0.6 2
 
6.9%
0.7 1
 
3.4%
ValueCountFrequency (%)
15.51 1
3.4%
7.2 2
6.9%
4.5 1
3.4%
3.75 1
3.4%
3.12 1
3.4%
2.8 1
3.4%
2.15 1
3.4%
2.1 1
3.4%
2.0 1
3.4%
1.65 1
3.4%

133.6
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.368966
Minimum0
Maximum105.5
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:13.031006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.03
median1.61
Q38.1
95-th percentile50.1
Maximum105.5
Range105.5
Interquartile range (IQR)8.07

Descriptive statistics

Standard deviation22.50847
Coefficient of variation (CV)2.1707537
Kurtosis11.663742
Mean10.368966
Median Absolute Deviation (MAD)1.61
Skewness3.2688946
Sum300.7
Variance506.63122
MonotonicityNot monotonic
2023-12-10T15:13:13.154204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
1.61 5
17.2%
0.03 2
 
6.9%
50.1 2
 
6.9%
8.1 1
 
3.4%
19.14 1
 
3.4%
9.6 1
 
3.4%
0.92 1
 
3.4%
1.31 1
 
3.4%
2.66 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
0.03 2
 
6.9%
0.92 1
 
3.4%
1.31 1
 
3.4%
1.61 5
17.2%
1.85 1
 
3.4%
2.66 1
 
3.4%
2.97 1
 
3.4%
4.95 1
 
3.4%
5.44 1
 
3.4%
ValueCountFrequency (%)
105.5 1
3.4%
50.1 2
6.9%
21.75 1
3.4%
19.14 1
3.4%
9.6 1
3.4%
8.2 1
3.4%
8.1 1
3.4%
5.44 1
3.4%
4.95 1
3.4%
2.97 1
3.4%

1.6
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.520345
Minimum0
Maximum717.45
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:13.276161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.004
Q10.1
median0.6
Q360.64
95-th percentile503.96
Maximum717.45
Range717.45
Interquartile range (IQR)60.54

Descriptive statistics

Standard deviation191.97659
Coefficient of variation (CV)2.0310611
Kurtosis3.7427968
Mean94.520345
Median Absolute Deviation (MAD)0.59
Skewness2.1596827
Sum2741.09
Variance36855.012
MonotonicityNot monotonic
2023-12-10T15:13:13.411761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
60.64 5
17.2%
0.01 3
 
10.3%
503.96 2
 
6.9%
0.1 2
 
6.9%
0.0 2
 
6.9%
0.6 2
 
6.9%
0.9 1
 
3.4%
378.18 1
 
3.4%
1.12 1
 
3.4%
0.02 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 2
6.9%
0.01 3
10.3%
0.02 1
 
3.4%
0.05 1
 
3.4%
0.1 2
6.9%
0.15 1
 
3.4%
0.2 1
 
3.4%
0.24 1
 
3.4%
0.33 1
 
3.4%
0.6 2
6.9%
ValueCountFrequency (%)
717.45 1
 
3.4%
503.96 2
 
6.9%
378.18 1
 
3.4%
327.0 1
 
3.4%
60.64 5
17.2%
2.1 1
 
3.4%
1.12 1
 
3.4%
0.9 1
 
3.4%
0.8 1
 
3.4%
0.6 2
 
6.9%

80
Real number (ℝ)

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.263448
Minimum0.02
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:13.632737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.02
5-th percentile0.332
Q12
median5
Q311
95-th percentile31.8
Maximum50
Range49.98
Interquartile range (IQR)9

Descriptive statistics

Standard deviation13.163217
Coefficient of variation (CV)1.2825336
Kurtosis1.7419623
Mean10.263448
Median Absolute Deviation (MAD)3.5
Skewness1.6053484
Sum297.64
Variance173.27029
MonotonicityNot monotonic
2023-12-10T15:13:13.845392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2.0 6
20.7%
5.0 5
17.2%
30.0 4
13.8%
1.5 2
 
6.9%
0.02 2
 
6.9%
50.0 1
 
3.4%
15.0 1
 
3.4%
10.0 1
 
3.4%
1.0 1
 
3.4%
8.0 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0.02 2
 
6.9%
0.8 1
 
3.4%
1.0 1
 
3.4%
1.5 2
 
6.9%
1.8 1
 
3.4%
2.0 6
20.7%
5.0 5
17.2%
7.0 1
 
3.4%
8.0 1
 
3.4%
10.0 1
 
3.4%
ValueCountFrequency (%)
50.0 1
 
3.4%
33.0 1
 
3.4%
30.0 4
13.8%
15.0 1
 
3.4%
11.0 1
 
3.4%
10.0 1
 
3.4%
8.0 1
 
3.4%
7.0 1
 
3.4%
5.0 5
17.2%
2.0 6
20.7%

187.2
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.984483
Minimum0
Maximum148.2
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:14.016885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.032
Q11.57
median3.17
Q333.2
95-th percentile99.3
Maximum148.2
Range148.2
Interquartile range (IQR)31.63

Descriptive statistics

Standard deviation38.866735
Coefficient of variation (CV)1.4957671
Kurtosis2.4481607
Mean25.984483
Median Absolute Deviation (MAD)3.12
Skewness1.7260362
Sum753.55
Variance1510.6231
MonotonicityNot monotonic
2023-12-10T15:13:14.575072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3.17 5
17.2%
0.22 2
 
6.9%
0.05 2
 
6.9%
2.03 2
 
6.9%
70.2 2
 
6.9%
43.5 1
 
3.4%
99.0 1
 
3.4%
148.2 1
 
3.4%
0.0 1
 
3.4%
1.57 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 1
 
3.4%
0.02 1
 
3.4%
0.05 2
 
6.9%
0.22 2
 
6.9%
0.3 1
 
3.4%
1.57 1
 
3.4%
2.03 2
 
6.9%
2.8 1
 
3.4%
3.17 5
17.2%
5.31 1
 
3.4%
ValueCountFrequency (%)
148.2 1
3.4%
99.5 1
3.4%
99.0 1
3.4%
72.0 1
3.4%
70.2 2
6.9%
43.5 1
3.4%
33.2 1
3.4%
29.2 1
3.4%
27.65 1
3.4%
15.95 1
3.4%

36.8
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8986207
Minimum0
Maximum13.8
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:14.741349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.25
95-th percentile12.42
Maximum13.8
Range13.8
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation4.0029344
Coefficient of variation (CV)2.1083381
Kurtosis4.6030777
Mean1.8986207
Median Absolute Deviation (MAD)0
Skewness2.3822891
Sum55.06
Variance16.023484
MonotonicityNot monotonic
2023-12-10T15:13:14.957670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 17
58.6%
13.8 2
 
6.9%
2.4 1
 
3.4%
7.0 1
 
3.4%
1.25 1
 
3.4%
0.95 1
 
3.4%
10.35 1
 
3.4%
1.75 1
 
3.4%
1.84 1
 
3.4%
0.88 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 17
58.6%
0.2 1
 
3.4%
0.84 1
 
3.4%
0.88 1
 
3.4%
0.95 1
 
3.4%
1.25 1
 
3.4%
1.75 1
 
3.4%
1.84 1
 
3.4%
2.4 1
 
3.4%
7.0 1
 
3.4%
ValueCountFrequency (%)
13.8 2
6.9%
10.35 1
3.4%
7.0 1
3.4%
2.4 1
3.4%
1.84 1
3.4%
1.75 1
3.4%
1.25 1
3.4%
0.95 1
3.4%
0.88 1
3.4%
0.84 1
3.4%

1.05
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.072413793
Minimum0
Maximum0.39
Zeros11
Zeros (%)37.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:15.127168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.03
Q30.09
95-th percentile0.338
Maximum0.39
Range0.39
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.11303145
Coefficient of variation (CV)1.5609105
Kurtosis2.8821025
Mean0.072413793
Median Absolute Deviation (MAD)0.03
Skewness1.9245511
Sum2.1
Variance0.012776108
MonotonicityNot monotonic
2023-12-10T15:13:15.325657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 11
37.9%
0.03 4
 
13.8%
0.06 2
 
6.9%
0.09 2
 
6.9%
0.39 2
 
6.9%
0.02 2
 
6.9%
0.2 1
 
3.4%
0.1 1
 
3.4%
0.24 1
 
3.4%
0.26 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 11
37.9%
0.01 1
 
3.4%
0.02 2
 
6.9%
0.03 4
 
13.8%
0.05 1
 
3.4%
0.06 2
 
6.9%
0.09 2
 
6.9%
0.1 1
 
3.4%
0.2 1
 
3.4%
0.24 1
 
3.4%
ValueCountFrequency (%)
0.39 2
6.9%
0.26 1
 
3.4%
0.24 1
 
3.4%
0.2 1
 
3.4%
0.1 1
 
3.4%
0.09 2
6.9%
0.06 2
6.9%
0.05 1
 
3.4%
0.03 4
13.8%
0.02 2
6.9%

0.3
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
23 
0.01
5 
28.74
 
1

Length

Max length5
Median length3
Mean length3.2413793
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row0.0
2nd row28.74
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 23
79.3%
0.01 5
 
17.2%
28.74 1
 
3.4%

Length

2023-12-10T15:13:15.561648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:15.830019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 23
79.3%
0.01 5
 
17.2%
28.74 1
 
3.4%

0.27
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)24.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.19034483
Minimum0
Maximum2.92
Zeros21
Zeros (%)72.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:15.996458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.714
Maximum2.92
Range2.92
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.56881131
Coefficient of variation (CV)2.9883203
Kurtosis20.22407
Mean0.19034483
Median Absolute Deviation (MAD)0
Skewness4.2925003
Sum5.52
Variance0.32354631
MonotonicityNot monotonic
2023-12-10T15:13:16.148963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0.0 21
72.4%
0.69 2
 
6.9%
0.1 2
 
6.9%
2.92 1
 
3.4%
0.73 1
 
3.4%
0.01 1
 
3.4%
0.28 1
 
3.4%
ValueCountFrequency (%)
0.0 21
72.4%
0.01 1
 
3.4%
0.1 2
 
6.9%
0.28 1
 
3.4%
0.69 2
 
6.9%
0.73 1
 
3.4%
2.92 1
 
3.4%
ValueCountFrequency (%)
2.92 1
 
3.4%
0.73 1
 
3.4%
0.69 2
 
6.9%
0.28 1
 
3.4%
0.1 2
 
6.9%
0.01 1
 
3.4%
0.0 21
72.4%

0.4
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
0.07
 
1
0.01
 
1

Length

Max length4
Median length3
Mean length3.0689655
Min length3

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row0.0
2nd row0.07
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 27
93.1%
0.07 1
 
3.4%
0.01 1
 
3.4%

Length

2023-12-10T15:13:16.398066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:16.556679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
0.07 1
 
3.4%
0.01 1
 
3.4%

292
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.095862
Minimum0
Maximum122.5
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:16.732013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q12.56
median8.1
Q317.68
95-th percentile109.5
Maximum122.5
Range122.5
Interquartile range (IQR)15.12

Descriptive statistics

Standard deviation34.618619
Coefficient of variation (CV)1.5667467
Kurtosis3.4758048
Mean22.095862
Median Absolute Deviation (MAD)6.55
Skewness2.0973344
Sum640.78
Variance1198.4488
MonotonicityNot monotonic
2023-12-10T15:13:16.949499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8.74 5
17.2%
0.06 2
 
6.9%
44.2 2
 
6.9%
0.0 2
 
6.9%
109.5 2
 
6.9%
8.1 1
 
3.4%
5.94 1
 
3.4%
7.5 1
 
3.4%
17.68 1
 
3.4%
7.18 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
0.0 2
6.9%
0.06 2
6.9%
1.01 1
3.4%
1.55 1
3.4%
2.38 1
3.4%
2.56 1
3.4%
2.97 1
3.4%
3.89 1
3.4%
5.94 1
3.4%
6.3 1
3.4%
ValueCountFrequency (%)
122.5 1
 
3.4%
109.5 2
 
6.9%
45.85 1
 
3.4%
44.2 2
 
6.9%
38.7 1
 
3.4%
17.68 1
 
3.4%
15.45 1
 
3.4%
8.74 5
17.2%
8.1 1
 
3.4%
7.5 1
 
3.4%

61.31
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7196552
Minimum0
Maximum22.99
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:17.133080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median1
Q31.5
95-th percentile17.79
Maximum22.99
Range22.99
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation5.9241838
Coefficient of variation (CV)2.1782849
Kurtosis8.9066278
Mean2.7196552
Median Absolute Deviation (MAD)0.99
Skewness3.0965349
Sum78.87
Variance35.095953
MonotonicityNot monotonic
2023-12-10T15:13:17.331876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1.36 5
17.2%
0.0 5
17.2%
0.01 3
 
10.3%
22.99 2
 
6.9%
2.0 1
 
3.4%
0.73 1
 
3.4%
2.07 1
 
3.4%
0.08 1
 
3.4%
0.24 1
 
3.4%
0.6 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 5
17.2%
0.01 3
10.3%
0.08 1
 
3.4%
0.24 1
 
3.4%
0.35 1
 
3.4%
0.51 1
 
3.4%
0.6 1
 
3.4%
0.73 1
 
3.4%
1.0 1
 
3.4%
1.29 1
 
3.4%
ValueCountFrequency (%)
22.99 2
 
6.9%
9.99 1
 
3.4%
3.22 1
 
3.4%
2.48 1
 
3.4%
2.07 1
 
3.4%
2.0 1
 
3.4%
1.5 1
 
3.4%
1.36 5
17.2%
1.29 1
 
3.4%
1.0 1
 
3.4%

0.5
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
9.8
 
1
0.98
 
1

Length

Max length4
Median length3
Mean length3.0344828
Min length3

Unique

Unique2 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 27
93.1%
9.8 1
 
3.4%
0.98 1
 
3.4%

Length

2023-12-10T15:13:17.537280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:17.677701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
9.8 1
 
3.4%
0.98 1
 
3.4%

1.02
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65137931
Minimum0
Maximum8.56
Zeros12
Zeros (%)41.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:17.809762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.02
Q30.32
95-th percentile3.788
Maximum8.56
Range8.56
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation1.8041019
Coefficient of variation (CV)2.7696641
Kurtosis14.488051
Mean0.65137931
Median Absolute Deviation (MAD)0.02
Skewness3.7451493
Sum18.89
Variance3.2547837
MonotonicityNot monotonic
2023-12-10T15:13:17.981166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 12
41.4%
0.32 5
17.2%
0.01 2
 
6.9%
0.02 2
 
6.9%
0.38 2
 
6.9%
8.56 1
 
3.4%
4.98 1
 
3.4%
0.17 1
 
3.4%
0.73 1
 
3.4%
2.0 1
 
3.4%
ValueCountFrequency (%)
0.0 12
41.4%
0.01 2
 
6.9%
0.02 2
 
6.9%
0.03 1
 
3.4%
0.17 1
 
3.4%
0.32 5
17.2%
0.38 2
 
6.9%
0.73 1
 
3.4%
2.0 1
 
3.4%
4.98 1
 
3.4%
ValueCountFrequency (%)
8.56 1
 
3.4%
4.98 1
 
3.4%
2.0 1
 
3.4%
0.73 1
 
3.4%
0.38 2
 
6.9%
0.32 5
17.2%
0.17 1
 
3.4%
0.03 1
 
3.4%
0.02 2
 
6.9%
0.01 2
 
6.9%

9.42
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.65827586
Minimum0
Maximum7.64
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:18.160168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.27
95-th percentile3.53
Maximum7.64
Range7.64
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation1.6217386
Coefficient of variation (CV)2.4636155
Kurtosis12.744044
Mean0.65827586
Median Absolute Deviation (MAD)0.1
Skewness3.4471055
Sum19.09
Variance2.6300362
MonotonicityNot monotonic
2023-12-10T15:13:18.318665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 10
34.5%
0.14 5
17.2%
0.08 2
 
6.9%
3.53 2
 
6.9%
0.04 2
 
6.9%
0.29 1
 
3.4%
7.64 1
 
3.4%
0.27 1
 
3.4%
1.37 1
 
3.4%
0.25 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 10
34.5%
0.04 2
 
6.9%
0.08 2
 
6.9%
0.1 1
 
3.4%
0.14 5
17.2%
0.25 1
 
3.4%
0.27 1
 
3.4%
0.29 1
 
3.4%
0.51 1
 
3.4%
0.66 1
 
3.4%
ValueCountFrequency (%)
7.64 1
 
3.4%
3.53 2
 
6.9%
1.37 1
 
3.4%
0.66 1
 
3.4%
0.51 1
 
3.4%
0.29 1
 
3.4%
0.27 1
 
3.4%
0.25 1
 
3.4%
0.14 5
17.2%
0.1 1
 
3.4%

2.16
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.16344828
Minimum0
Maximum0.99
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:13:18.485500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.24
95-th percentile0.81
Maximum0.99
Range0.99
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.277209
Coefficient of variation (CV)1.6960044
Kurtosis2.9717406
Mean0.16344828
Median Absolute Deviation (MAD)0
Skewness1.9368585
Sum4.74
Variance0.076844828
MonotonicityNot monotonic
2023-12-10T15:13:18.646236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 17
58.6%
0.81 2
 
6.9%
0.25 2
 
6.9%
0.51 1
 
3.4%
0.3 1
 
3.4%
0.24 1
 
3.4%
0.12 1
 
3.4%
0.19 1
 
3.4%
0.99 1
 
3.4%
0.22 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.05 1
 
3.4%
0.12 1
 
3.4%
0.19 1
 
3.4%
0.22 1
 
3.4%
0.24 1
 
3.4%
0.25 2
 
6.9%
0.3 1
 
3.4%
0.51 1
 
3.4%
0.81 2
 
6.9%
ValueCountFrequency (%)
0.99 1
3.4%
0.81 2
6.9%
0.51 1
3.4%
0.3 1
3.4%
0.25 2
6.9%
0.24 1
3.4%
0.22 1
3.4%
0.19 1
3.4%
0.12 1
3.4%
0.05 1
3.4%

0.6
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
21 
0.46
5 
15.95
 
1
87.97
 
1
353.85
 
1

Length

Max length6
Median length3
Mean length3.4137931
Min length3

Unique

Unique3 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 21
72.4%
0.46 5
 
17.2%
15.95 1
 
3.4%
87.97 1
 
3.4%
353.85 1
 
3.4%

Length

2023-12-10T15:13:18.849740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:13:18.999489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 21
72.4%
0.46 5
 
17.2%
15.95 1
 
3.4%
87.97 1
 
3.4%
353.85 1
 
3.4%

Sample

AF007050000001A00416000.240.10.060.040.220.819.2133.61.680187.236.81.050.30.270.429261.310.51.029.422.160.6
0AF007050000001A0030500.00.01.760.010.00.03.34.58.10.930.043.52.40.060.00.00.08.12.00.00.010.290.510.0
1AF007050000001B0019370.290.2929.890.110.050.02.02.0105.5327.050.099.57.00.228.742.920.07122.53.220.08.567.640.00.0
2AF007050000001B0013350.00.01.40.010.020.034.320.58.20.155.033.21.250.10.00.00.06.31.50.00.00.270.30.0
3AF007050000001B0003580.00.012.570.00.00.01.70.51.850.055.014.50.950.030.00.00.01.550.350.00.020.080.240.0
4AF007050000001A0032970.00.720.00.00.00.00.00.050.00.15.00.050.00.030.00.690.044.20.00.00.00.00.00.0
5AF007050000001A0000720.00.010.00.010.240.05.43.7521.75717.4515.072.010.350.240.00.00.015.452.480.00.01.370.120.0
6AF007050000001A0037420.02.130.00.00.00.00.02.154.950.85.02.81.750.090.00.730.0145.850.010.04.980.00.00.0
7AF007050000001A0024230.00.00.00.00.00.00.00.30.00.210.00.30.00.030.00.00.038.79.999.80.00.00.00.0
8AF007050000002A0041600.00.090.00.020.010.07.87.250.10.630.070.213.80.390.00.10.0109.522.990.00.383.530.810.0
9AF007050000002A0024210.00.00.00.00.00.00.00.010.00.011.00.020.00.00.00.00.03.891.00.980.00.00.00.0
AF007050000001A00416000.240.10.060.040.220.819.2133.61.680187.236.81.050.30.270.429261.310.51.029.422.160.6
19AF007050000002D0125420.00.00.00.00.00.00.150.291.6160.642.03.170.00.00.010.00.08.741.360.00.320.140.00.46
20AF007050000002A0025770.00.00.00.00.00.00.00.60.0503.961.52.030.00.00.00.00.00.00.00.00.00.00.00.0
21AF007050000002A0044910.00.00.00.00.00.00.00.060.030.010.020.220.00.00.00.00.00.060.010.00.00.00.00.0
22AF007050000002A0032970.00.720.00.00.00.00.00.050.00.15.00.050.00.030.00.690.044.20.00.00.00.00.00.0
23AF007050000003A0041600.00.090.00.020.010.07.87.250.10.630.070.213.80.390.00.10.0109.522.990.00.383.530.810.0
24AF007050000003D0125420.00.00.00.00.00.00.150.291.6160.642.03.170.00.00.010.00.08.741.360.00.320.140.00.46
25AF007050000003D0125420.00.00.00.00.00.00.150.291.6160.642.03.170.00.00.010.00.08.741.360.00.320.140.00.46
26AF007050000003A0025770.00.00.00.00.00.00.00.60.0503.961.52.030.00.00.00.00.00.00.00.00.00.00.00.0
27AF007050000003A0044910.00.00.00.00.00.00.00.060.030.010.020.220.00.00.00.00.00.060.010.00.00.00.00.0
28AF007050000003A0044240.00.634.50.010.010.0416.682.19.60.030.0148.20.00.090.00.00.07.52.070.00.030.510.25353.85

Duplicate rows

Most frequently occurring

AF007050000001A00416000.240.10.060.040.220.819.2133.61.680187.236.81.050.30.270.429261.310.51.029.422.160.6# duplicates
0AF007050000002D0125420.00.00.00.00.00.00.150.291.6160.642.03.170.00.00.010.00.08.741.360.00.320.140.00.463
1AF007050000003D0125420.00.00.00.00.00.00.150.291.6160.642.03.170.00.00.010.00.08.741.360.00.320.140.00.462