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 memory236.6 B

Variable types

Categorical6
Text1
Numeric19

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000028

Alerts

0.2 has constant value ""Constant
1.5 is highly imbalanced (72.8%)Imbalance
237.5 is highly imbalanced (60.7%)Imbalance
0.1 is highly imbalanced (63.8%)Imbalance
0.35 has 4 (13.8%) zerosZeros
0 has 13 (44.8%) zerosZeros
0.03 has 17 (58.6%) zerosZeros
0.14 has 15 (51.7%) zerosZeros
62.25 has 7 (24.1%) zerosZeros
21.5 has 5 (17.2%) zerosZeros
81 has 7 (24.1%) zerosZeros
76 has 5 (17.2%) zerosZeros
71.5 has 5 (17.2%) zerosZeros
6 has 14 (48.3%) zerosZeros
0.7 has 8 (27.6%) zerosZeros
1.57 has 19 (65.5%) zerosZeros
69 has 2 (6.9%) zerosZeros
1.4 has 7 (24.1%) zerosZeros
4.1 has 6 (20.7%) zerosZeros
5.9 has 7 (24.1%) zerosZeros
0.3 has 10 (34.5%) zerosZeros
76.5 has 20 (69.0%) zerosZeros

Reproduction

Analysis started2023-12-10 06:56:48.360290
Analysis finished2023-12-10 06:56:48.557891
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007010000001
Categorical

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
AF007010000003
13 
AF007010000001
8 
AF007010000002
8 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF007010000001
2nd rowAF007010000001
3rd rowAF007010000001
4th rowAF007010000001
5th rowAF007010000001

Common Values

ValueCountFrequency (%)
AF007010000003 13
44.8%
AF007010000001 8
27.6%
AF007010000002 8
27.6%

Length

2023-12-10T15:56:48.615973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:56:48.720994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af007010000003 13
44.8%
af007010000001 8
27.6%
af007010000002 8
27.6%

A000239
Text

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:56:48.878819image/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

Unique8 ?
Unique (%)27.6%

Sample

1st rowB000925
2nd rowA002577
3rd rowA003050
4th rowA004019
5th rowA004148
ValueCountFrequency (%)
a003742 3
 
10.3%
a000239 2
 
6.9%
a002577 2
 
6.9%
a002866 2
 
6.9%
a000548 2
 
6.9%
a004019 2
 
6.9%
b002601 2
 
6.9%
b001613 2
 
6.9%
b000923 2
 
6.9%
b003215 2
 
6.9%
Other values (8) 8
27.6%
2023-12-10T15:56:49.159640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 74
36.5%
A 19
 
9.4%
2 19
 
9.4%
3 16
 
7.9%
5 11
 
5.4%
1 11
 
5.4%
7 10
 
4.9%
4 10
 
4.9%
B 10
 
4.9%
6 10
 
4.9%
Other values (2) 13
 
6.4%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 74
42.5%
2 19
 
10.9%
3 16
 
9.2%
5 11
 
6.3%
1 11
 
6.3%
7 10
 
5.7%
4 10
 
5.7%
6 10
 
5.7%
9 8
 
4.6%
8 5
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 19
65.5%
B 10
34.5%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 74
42.5%
2 19
 
10.9%
3 16
 
9.2%
5 11
 
6.3%
1 11
 
6.3%
7 10
 
5.7%
4 10
 
5.7%
6 10
 
5.7%
9 8
 
4.6%
8 5
 
2.9%
Latin
ValueCountFrequency (%)
A 19
65.5%
B 10
34.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 74
36.5%
A 19
 
9.4%
2 19
 
9.4%
3 16
 
7.9%
5 11
 
5.4%
1 11
 
5.4%
7 10
 
4.9%
4 10
 
4.9%
B 10
 
4.9%
6 10
 
4.9%
Other values (2) 13
 
6.4%

1.5
Categorical

IMBALANCE 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
1.5
 
1
0.45
 
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%
1.5 1
 
3.4%
0.45 1
 
3.4%

Length

2023-12-10T15:56:49.291002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:56:49.391326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
1.5 1
 
3.4%
0.45 1
 
3.4%

0.35
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49413793
Minimum0
Maximum5.15
Zeros4
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:49.474495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.06
Q30.35
95-th percentile2.362
Maximum5.15
Range5.15
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation1.1083627
Coefficient of variation (CV)2.243023
Kurtosis11.819841
Mean0.49413793
Median Absolute Deviation (MAD)0.05
Skewness3.3227267
Sum14.33
Variance1.228468
MonotonicityNot monotonic
2023-12-10T15:56:49.581851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.06 5
17.2%
0.0 4
13.8%
1.27 3
10.3%
0.11 3
10.3%
0.02 2
 
6.9%
0.4 2
 
6.9%
0.01 2
 
6.9%
0.03 2
 
6.9%
3.09 1
 
3.4%
0.1 1
 
3.4%
Other values (4) 4
13.8%
ValueCountFrequency (%)
0.0 4
13.8%
0.01 2
 
6.9%
0.02 2
 
6.9%
0.03 2
 
6.9%
0.04 1
 
3.4%
0.06 5
17.2%
0.1 1
 
3.4%
0.11 3
10.3%
0.24 1
 
3.4%
0.35 1
 
3.4%
ValueCountFrequency (%)
5.15 1
 
3.4%
3.09 1
 
3.4%
1.27 3
10.3%
0.4 2
 
6.9%
0.35 1
 
3.4%
0.24 1
 
3.4%
0.11 3
10.3%
0.1 1
 
3.4%
0.06 5
17.2%
0.04 1
 
3.4%

0
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2468966
Minimum0
Maximum7.57
Zeros13
Zeros (%)44.8%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:49.683406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.42
Q31.13
95-th percentile6.79
Maximum7.57
Range7.57
Interquartile range (IQR)1.13

Descriptive statistics

Standard deviation2.1856122
Coefficient of variation (CV)1.7528417
Kurtosis3.5312263
Mean1.2468966
Median Absolute Deviation (MAD)0.42
Skewness2.1240718
Sum36.16
Variance4.7769007
MonotonicityNot monotonic
2023-12-10T15:56:49.796962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 13
44.8%
3.14 2
 
6.9%
1.13 2
 
6.9%
1.05 2
 
6.9%
0.45 2
 
6.9%
6.79 2
 
6.9%
0.48 1
 
3.4%
0.59 1
 
3.4%
1.92 1
 
3.4%
0.06 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 13
44.8%
0.06 1
 
3.4%
0.42 1
 
3.4%
0.45 2
 
6.9%
0.48 1
 
3.4%
0.59 1
 
3.4%
1.05 2
 
6.9%
1.13 2
 
6.9%
1.92 1
 
3.4%
3.14 2
 
6.9%
ValueCountFrequency (%)
7.57 1
3.4%
6.79 2
6.9%
3.14 2
6.9%
1.92 1
3.4%
1.13 2
6.9%
1.05 2
6.9%
0.59 1
3.4%
0.48 1
3.4%
0.45 2
6.9%
0.42 1
3.4%

0.03
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.016206897
Minimum0
Maximum0.11
Zeros17
Zeros (%)58.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:49.917763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.09
Maximum0.11
Range0.11
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.030637721
Coefficient of variation (CV)1.8904126
Kurtosis4.8553753
Mean0.016206897
Median Absolute Deviation (MAD)0
Skewness2.3311185
Sum0.47
Variance0.00093866995
MonotonicityNot monotonic
2023-12-10T15:56:50.014135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 17
58.6%
0.01 4
 
13.8%
0.02 3
 
10.3%
0.11 2
 
6.9%
0.06 2
 
6.9%
0.03 1
 
3.4%
ValueCountFrequency (%)
0.0 17
58.6%
0.01 4
 
13.8%
0.02 3
 
10.3%
0.03 1
 
3.4%
0.06 2
 
6.9%
0.11 2
 
6.9%
ValueCountFrequency (%)
0.11 2
 
6.9%
0.06 2
 
6.9%
0.03 1
 
3.4%
0.02 3
 
10.3%
0.01 4
 
13.8%
0.0 17
58.6%

0.14
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)20.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.018965517
Minimum0
Maximum0.14
Zeros15
Zeros (%)51.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:50.108548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.02
95-th percentile0.07
Maximum0.14
Range0.14
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.032220759
Coefficient of variation (CV)1.6989128
Kurtosis6.394993
Mean0.018965517
Median Absolute Deviation (MAD)0
Skewness2.3912568
Sum0.55
Variance0.0010381773
MonotonicityNot monotonic
2023-12-10T15:56:50.201882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 15
51.7%
0.01 4
 
13.8%
0.02 4
 
13.8%
0.07 3
 
10.3%
0.04 2
 
6.9%
0.14 1
 
3.4%
ValueCountFrequency (%)
0.0 15
51.7%
0.01 4
 
13.8%
0.02 4
 
13.8%
0.04 2
 
6.9%
0.07 3
 
10.3%
0.14 1
 
3.4%
ValueCountFrequency (%)
0.14 1
 
3.4%
0.07 3
 
10.3%
0.04 2
 
6.9%
0.02 4
 
13.8%
0.01 4
 
13.8%
0.0 15
51.7%

0.04
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
19 
0.01
4 
0.02
3 
0.1
2 
0.04
 
1

Length

Max length4
Median length3
Mean length3.2758621
Min length3

Unique

Unique1 ?
Unique (%)3.4%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 19
65.5%
0.01 4
 
13.8%
0.02 3
 
10.3%
0.1 2
 
6.9%
0.04 1
 
3.4%

Length

2023-12-10T15:56:50.317889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:56:50.424646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 19
65.5%
0.01 4
 
13.8%
0.02 3
 
10.3%
0.1 2
 
6.9%
0.04 1
 
3.4%

62.25
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9651724
Minimum0
Maximum62.25
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:50.524852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.06
median1.7
Q318.68
95-th percentile37.548
Maximum62.25
Range62.25
Interquartile range (IQR)18.62

Descriptive statistics

Standard deviation15.930355
Coefficient of variation (CV)1.5986031
Kurtosis3.0643734
Mean9.9651724
Median Absolute Deviation (MAD)1.7
Skewness1.8508069
Sum288.99
Variance253.77622
MonotonicityNot monotonic
2023-12-10T15:56:50.626216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 7
24.1%
32.67 3
10.3%
2.09 2
 
6.9%
19.6 2
 
6.9%
1.0 2
 
6.9%
3.3 2
 
6.9%
1.05 2
 
6.9%
1.7 1
 
3.4%
40.8 1
 
3.4%
18.68 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 7
24.1%
0.06 1
 
3.4%
1.0 2
 
6.9%
1.05 2
 
6.9%
1.1 1
 
3.4%
1.36 1
 
3.4%
1.7 1
 
3.4%
1.87 1
 
3.4%
2.09 2
 
6.9%
3.3 2
 
6.9%
ValueCountFrequency (%)
62.25 1
 
3.4%
40.8 1
 
3.4%
32.67 3
10.3%
19.6 2
6.9%
18.68 1
 
3.4%
9.08 1
 
3.4%
3.3 2
6.9%
2.09 2
6.9%
1.87 1
 
3.4%
1.7 1
 
3.4%

21.5
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4258621
Minimum0
Maximum21.5
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:50.738853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.4
median2.4
Q34.8
95-th percentile7.89
Maximum21.5
Range21.5
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation4.2425123
Coefficient of variation (CV)1.238378
Kurtosis11.529089
Mean3.4258621
Median Absolute Deviation (MAD)2.2
Skewness2.9151847
Sum99.35
Variance17.998911
MonotonicityNot monotonic
2023-12-10T15:56:50.847896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 5
17.2%
3.6 4
13.8%
6.0 3
10.3%
1.35 2
 
6.9%
4.8 2
 
6.9%
1.8 2
 
6.9%
0.06 1
 
3.4%
8.85 1
 
3.4%
0.2 1
 
3.4%
3.92 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 5
17.2%
0.06 1
 
3.4%
0.2 1
 
3.4%
0.4 1
 
3.4%
1.17 1
 
3.4%
1.35 2
 
6.9%
1.5 1
 
3.4%
1.8 2
 
6.9%
2.4 1
 
3.4%
3.6 4
13.8%
ValueCountFrequency (%)
21.5 1
 
3.4%
8.85 1
 
3.4%
6.45 1
 
3.4%
6.0 3
10.3%
4.8 2
6.9%
4.6 1
 
3.4%
3.92 1
 
3.4%
3.6 4
13.8%
2.4 1
 
3.4%
1.8 2
6.9%

81
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.45931
Minimum0
Maximum81
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:50.956931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.98
median3.9
Q314.06
95-th percentile61.6
Maximum81
Range81
Interquartile range (IQR)13.08

Descriptive statistics

Standard deviation21.268584
Coefficient of variation (CV)1.5802135
Kurtosis3.6335107
Mean13.45931
Median Absolute Deviation (MAD)3.9
Skewness2.0742931
Sum390.32
Variance452.35267
MonotonicityNot monotonic
2023-12-10T15:56:51.073441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 7
24.1%
2.7 3
10.3%
6.3 2
 
6.9%
61.6 2
 
6.9%
14.06 2
 
6.9%
3.9 2
 
6.9%
34.05 2
 
6.9%
2.82 1
 
3.4%
14.55 1
 
3.4%
0.98 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 7
24.1%
0.98 1
 
3.4%
2.28 1
 
3.4%
2.7 3
10.3%
2.82 1
 
3.4%
3.12 1
 
3.4%
3.9 2
 
6.9%
4.65 1
 
3.4%
6.3 2
 
6.9%
8.7 1
 
3.4%
ValueCountFrequency (%)
81.0 1
3.4%
61.6 2
6.9%
34.05 2
6.9%
24.3 1
3.4%
14.55 1
3.4%
14.06 2
6.9%
8.7 1
3.4%
6.3 2
6.9%
4.65 1
3.4%
3.9 2
6.9%

76
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.141379
Minimum0
Maximum335.97
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:51.191673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.3
median3.45
Q376
95-th percentile172.64
Maximum335.97
Range335.97
Interquartile range (IQR)75.7

Descriptive statistics

Standard deviation83.680863
Coefficient of variation (CV)1.7382315
Kurtosis3.770033
Mean48.141379
Median Absolute Deviation (MAD)3.45
Skewness1.9534381
Sum1396.1
Variance7002.4869
MonotonicityNot monotonic
2023-12-10T15:56:51.308952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.0 5
17.2%
0.3 3
 
10.3%
3.45 2
 
6.9%
4.0 2
 
6.9%
5.16 2
 
6.9%
167.85 2
 
6.9%
119.25 2
 
6.9%
9.32 1
 
3.4%
3.0 1
 
3.4%
167.99 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 5
17.2%
0.16 1
 
3.4%
0.3 3
10.3%
0.6 1
 
3.4%
1.8 1
 
3.4%
2.4 1
 
3.4%
3.0 1
 
3.4%
3.45 2
 
6.9%
4.0 2
 
6.9%
5.16 2
 
6.9%
ValueCountFrequency (%)
335.97 1
3.4%
175.74 1
3.4%
167.99 1
3.4%
167.85 2
6.9%
119.25 2
6.9%
76.0 1
3.4%
22.8 1
3.4%
9.32 1
3.4%
5.16 2
6.9%
4.0 2
6.9%

50
Real number (ℝ)

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.258621
Minimum0.5
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:51.429353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.4
Q13
median10
Q315
95-th percentile68
Maximum80
Range79.5
Interquartile range (IQR)12

Descriptive statistics

Standard deviation20.521165
Coefficient of variation (CV)1.4392111
Kurtosis6.4437976
Mean14.258621
Median Absolute Deviation (MAD)5
Skewness2.630326
Sum413.5
Variance421.11823
MonotonicityNot monotonic
2023-12-10T15:56:51.541550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
15.0 8
27.6%
3.0 5
17.2%
10.0 4
13.8%
2.0 4
13.8%
80.0 2
 
6.9%
6.0 1
 
3.4%
1.0 1
 
3.4%
8.0 1
 
3.4%
50.0 1
 
3.4%
5.0 1
 
3.4%
ValueCountFrequency (%)
0.5 1
 
3.4%
1.0 1
 
3.4%
2.0 4
13.8%
3.0 5
17.2%
5.0 1
 
3.4%
6.0 1
 
3.4%
8.0 1
 
3.4%
10.0 4
13.8%
15.0 8
27.6%
50.0 1
 
3.4%
ValueCountFrequency (%)
80.0 2
 
6.9%
50.0 1
 
3.4%
15.0 8
27.6%
10.0 4
13.8%
8.0 1
 
3.4%
6.0 1
 
3.4%
5.0 1
 
3.4%
3.0 5
17.2%
2.0 4
13.8%
1.0 1
 
3.4%

71.5
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.702759
Minimum0
Maximum118.5
Zeros5
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:51.652768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.35
median21.75
Q344.85
95-th percentile73.6
Maximum118.5
Range118.5
Interquartile range (IQR)43.5

Descriptive statistics

Standard deviation29.652938
Coefficient of variation (CV)0.96580696
Kurtosis1.1335732
Mean30.702759
Median Absolute Deviation (MAD)21.61
Skewness1.0855254
Sum890.38
Variance879.29673
MonotonicityNot monotonic
2023-12-10T15:56:51.760662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 5
17.2%
44.85 2
 
6.9%
73.6 2
 
6.9%
62.34 2
 
6.9%
19.6 2
 
6.9%
21.75 2
 
6.9%
34.8 2
 
6.9%
40.6 1
 
3.4%
118.5 1
 
3.4%
0.68 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
0.0 5
17.2%
0.14 1
 
3.4%
0.68 1
 
3.4%
1.35 1
 
3.4%
12.0 1
 
3.4%
14.5 1
 
3.4%
19.6 2
 
6.9%
21.45 1
 
3.4%
21.68 1
 
3.4%
21.75 2
 
6.9%
ValueCountFrequency (%)
118.5 1
3.4%
73.6 2
6.9%
71.5 1
3.4%
62.34 2
6.9%
50.4 1
3.4%
44.85 2
6.9%
40.6 1
3.4%
34.8 2
6.9%
23.7 1
3.4%
21.75 2
6.9%

6
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4068966
Minimum0
Maximum12.6
Zeros14
Zeros (%)48.3%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:51.867328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.04
Q31.84
95-th percentile5.32
Maximum12.6
Range12.6
Interquartile range (IQR)1.84

Descriptive statistics

Standard deviation2.590775
Coefficient of variation (CV)1.8414822
Kurtosis12.635642
Mean1.4068966
Median Absolute Deviation (MAD)0.04
Skewness3.2721495
Sum40.8
Variance6.712115
MonotonicityNot monotonic
2023-12-10T15:56:51.980695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 14
48.3%
1.4 2
 
6.9%
2.1 2
 
6.9%
2.25 2
 
6.9%
0.72 1
 
3.4%
0.8 1
 
3.4%
1.84 1
 
3.4%
6.0 1
 
3.4%
1.2 1
 
3.4%
4.3 1
 
3.4%
Other values (3) 3
 
10.3%
ValueCountFrequency (%)
0.0 14
48.3%
0.04 1
 
3.4%
0.72 1
 
3.4%
0.8 1
 
3.4%
1.2 1
 
3.4%
1.4 2
 
6.9%
1.8 1
 
3.4%
1.84 1
 
3.4%
2.1 2
 
6.9%
2.25 2
 
6.9%
ValueCountFrequency (%)
12.6 1
3.4%
6.0 1
3.4%
4.3 1
3.4%
2.25 2
6.9%
2.1 2
6.9%
1.84 1
3.4%
1.8 1
3.4%
1.4 2
6.9%
1.2 1
3.4%
0.8 1
3.4%

0.7
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.17137931
Minimum0
Maximum1.12
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:52.086585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.06
Q30.21
95-th percentile0.952
Maximum1.12
Range1.12
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.30510799
Coefficient of variation (CV)1.7803082
Kurtosis5.394625
Mean0.17137931
Median Absolute Deviation (MAD)0.06
Skewness2.4426535
Sum4.97
Variance0.093090887
MonotonicityNot monotonic
2023-12-10T15:56:52.195813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 8
27.6%
0.06 4
13.8%
0.04 3
 
10.3%
0.02 3
 
10.3%
0.21 3
 
10.3%
1.12 2
 
6.9%
0.07 2
 
6.9%
0.7 1
 
3.4%
0.08 1
 
3.4%
0.35 1
 
3.4%
ValueCountFrequency (%)
0.0 8
27.6%
0.02 3
 
10.3%
0.04 3
 
10.3%
0.06 4
13.8%
0.07 2
 
6.9%
0.08 1
 
3.4%
0.21 3
 
10.3%
0.35 1
 
3.4%
0.41 1
 
3.4%
0.7 1
 
3.4%
ValueCountFrequency (%)
1.12 2
6.9%
0.7 1
 
3.4%
0.41 1
 
3.4%
0.35 1
 
3.4%
0.21 3
10.3%
0.08 1
 
3.4%
0.07 2
6.9%
0.06 4
13.8%
0.04 3
10.3%
0.02 3
10.3%

237.5
Categorical

IMBALANCE 

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
25 
9.92
 
2
237.5
 
1
71.25
 
1

Length

Max length5
Median length3
Mean length3.2068966
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 25
86.2%
9.92 2
 
6.9%
237.5 1
 
3.4%
71.25 1
 
3.4%

Length

2023-12-10T15:56:52.329636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:56:52.436858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 25
86.2%
9.92 2
 
6.9%
237.5 1
 
3.4%
71.25 1
 
3.4%

1.57
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21241379
Minimum0
Maximum1.57
Zeros19
Zeros (%)65.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:52.527995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.43
95-th percentile0.85
Maximum1.57
Range1.57
Interquartile range (IQR)0.43

Descriptive statistics

Standard deviation0.38001556
Coefficient of variation (CV)1.7890343
Kurtosis4.7934225
Mean0.21241379
Median Absolute Deviation (MAD)0
Skewness2.0990261
Sum6.16
Variance0.14441182
MonotonicityNot monotonic
2023-12-10T15:56:52.648426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 19
65.5%
0.43 3
 
10.3%
0.85 2
 
6.9%
0.42 1
 
3.4%
1.57 1
 
3.4%
0.7 1
 
3.4%
0.47 1
 
3.4%
0.01 1
 
3.4%
ValueCountFrequency (%)
0.0 19
65.5%
0.01 1
 
3.4%
0.42 1
 
3.4%
0.43 3
 
10.3%
0.47 1
 
3.4%
0.7 1
 
3.4%
0.85 2
 
6.9%
1.57 1
 
3.4%
ValueCountFrequency (%)
1.57 1
 
3.4%
0.85 2
 
6.9%
0.7 1
 
3.4%
0.47 1
 
3.4%
0.43 3
 
10.3%
0.42 1
 
3.4%
0.01 1
 
3.4%
0.0 19
65.5%

0.1
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
0.0
27 
0.02
 
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%
0.02 2
 
6.9%

Length

2023-12-10T15:56:53.054360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:56:53.141863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
93.1%
0.02 2
 
6.9%

69
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.930345
Minimum0
Maximum281.6
Zeros2
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:53.217678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.416
Q11.8
median4.65
Q326.52
95-th percentile196.56
Maximum281.6
Range281.6
Interquartile range (IQR)24.72

Descriptive statistics

Standard deviation71.183551
Coefficient of variation (CV)2.2293386
Kurtosis10.072749
Mean31.930345
Median Absolute Deviation (MAD)3.25
Skewness3.2674643
Sum925.98
Variance5067.0979
MonotonicityNot monotonic
2023-12-10T15:56:53.322637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
26.52 4
13.8%
2.7 3
 
10.3%
4.65 2
 
6.9%
281.6 2
 
6.9%
1.4 2
 
6.9%
1.8 2
 
6.9%
0.0 2
 
6.9%
36.6 2
 
6.9%
7.62 1
 
3.4%
4.35 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
0.0 2
6.9%
1.04 1
 
3.4%
1.4 2
6.9%
1.59 1
 
3.4%
1.8 2
6.9%
2.04 1
 
3.4%
2.26 1
 
3.4%
2.7 3
10.3%
4.35 1
 
3.4%
4.65 2
6.9%
ValueCountFrequency (%)
281.6 2
6.9%
69.0 1
 
3.4%
44.2 1
 
3.4%
36.6 2
6.9%
26.52 4
13.8%
20.7 1
 
3.4%
7.62 1
 
3.4%
6.9 1
 
3.4%
4.65 2
6.9%
4.35 1
 
3.4%

1.4
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8593103
Minimum0
Maximum62.8
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:53.424845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.15
median0.56
Q30.89
95-th percentile38.404
Maximum62.8
Range62.8
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation16.055986
Coefficient of variation (CV)3.3041697
Kurtosis11.668219
Mean4.8593103
Median Absolute Deviation (MAD)0.41
Skewness3.5847851
Sum140.92
Variance257.79469
MonotonicityNot monotonic
2023-12-10T15:56:53.536607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 7
24.1%
1.05 2
 
6.9%
62.8 2
 
6.9%
0.73 2
 
6.9%
0.31 2
 
6.9%
0.56 2
 
6.9%
0.89 2
 
6.9%
1.53 1
 
3.4%
0.66 1
 
3.4%
0.82 1
 
3.4%
Other values (7) 7
24.1%
ValueCountFrequency (%)
0.0 7
24.1%
0.15 1
 
3.4%
0.26 1
 
3.4%
0.31 2
 
6.9%
0.42 1
 
3.4%
0.52 1
 
3.4%
0.56 2
 
6.9%
0.66 1
 
3.4%
0.67 1
 
3.4%
0.73 2
 
6.9%
ValueCountFrequency (%)
62.8 2
6.9%
1.81 1
3.4%
1.53 1
3.4%
1.4 1
3.4%
1.05 2
6.9%
0.89 2
6.9%
0.82 1
3.4%
0.73 2
6.9%
0.67 1
3.4%
0.66 1
3.4%

0.2
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 29
100.0%

Length

2023-12-10T15:56:53.667944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:56:53.759722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

4.1
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.97206897
Minimum0
Maximum5
Zeros6
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:53.838687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.02
Q32.66
95-th percentile3.66
Maximum5
Range5
Interquartile range (IQR)2.65

Descriptive statistics

Standard deviation1.5365369
Coefficient of variation (CV)1.5806871
Kurtosis0.2935262
Mean0.97206897
Median Absolute Deviation (MAD)0.02
Skewness1.290151
Sum28.19
Variance2.3609456
MonotonicityNot monotonic
2023-12-10T15:56:53.942868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.0 6
20.7%
0.02 5
17.2%
0.01 4
13.8%
3.0 4
13.8%
0.08 2
 
6.9%
0.09 2
 
6.9%
2.66 2
 
6.9%
4.1 1
 
3.4%
5.0 1
 
3.4%
1.23 1
 
3.4%
ValueCountFrequency (%)
0.0 6
20.7%
0.01 4
13.8%
0.02 5
17.2%
0.06 1
 
3.4%
0.08 2
 
6.9%
0.09 2
 
6.9%
1.23 1
 
3.4%
2.66 2
 
6.9%
3.0 4
13.8%
4.1 1
 
3.4%
ValueCountFrequency (%)
5.0 1
 
3.4%
4.1 1
 
3.4%
3.0 4
13.8%
2.66 2
 
6.9%
1.23 1
 
3.4%
0.09 2
 
6.9%
0.08 2
 
6.9%
0.06 1
 
3.4%
0.02 5
17.2%
0.01 4
13.8%

5.9
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88689655
Minimum0
Maximum5.9
Zeros7
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:54.046539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.07
median0.15
Q30.85
95-th percentile4.56
Maximum5.9
Range5.9
Interquartile range (IQR)0.78

Descriptive statistics

Standard deviation1.5648393
Coefficient of variation (CV)1.7643989
Kurtosis4.1030801
Mean0.88689655
Median Absolute Deviation (MAD)0.15
Skewness2.2008401
Sum25.72
Variance2.4487222
MonotonicityNot monotonic
2023-12-10T15:56:54.163590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0.0 7
24.1%
0.12 3
10.3%
0.15 2
 
6.9%
4.56 2
 
6.9%
0.85 2
 
6.9%
0.08 2
 
6.9%
2.16 2
 
6.9%
0.16 1
 
3.4%
0.62 1
 
3.4%
0.65 1
 
3.4%
Other values (6) 6
20.7%
ValueCountFrequency (%)
0.0 7
24.1%
0.07 1
 
3.4%
0.08 2
 
6.9%
0.1 1
 
3.4%
0.12 3
10.3%
0.15 2
 
6.9%
0.16 1
 
3.4%
0.23 1
 
3.4%
0.26 1
 
3.4%
0.62 1
 
3.4%
ValueCountFrequency (%)
5.9 1
3.4%
4.56 2
6.9%
2.16 2
6.9%
1.77 1
3.4%
0.85 2
6.9%
0.65 1
3.4%
0.62 1
3.4%
0.26 1
3.4%
0.23 1
3.4%
0.16 1
3.4%

0.3
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.23482759
Minimum0
Maximum0.77
Zeros10
Zeros (%)34.5%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:54.280971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.07
Q30.47
95-th percentile0.73
Maximum0.77
Range0.77
Interquartile range (IQR)0.47

Descriptive statistics

Standard deviation0.27671053
Coefficient of variation (CV)1.1783562
Kurtosis-0.9151467
Mean0.23482759
Median Absolute Deviation (MAD)0.07
Skewness0.79458392
Sum6.81
Variance0.076568719
MonotonicityNot monotonic
2023-12-10T15:56:54.414833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 10
34.5%
0.67 3
 
10.3%
0.02 3
 
10.3%
0.77 2
 
6.9%
0.07 2
 
6.9%
0.34 2
 
6.9%
0.47 2
 
6.9%
0.19 1
 
3.4%
0.17 1
 
3.4%
0.14 1
 
3.4%
Other values (2) 2
 
6.9%
ValueCountFrequency (%)
0.0 10
34.5%
0.02 3
 
10.3%
0.07 2
 
6.9%
0.14 1
 
3.4%
0.17 1
 
3.4%
0.19 1
 
3.4%
0.34 2
 
6.9%
0.46 1
 
3.4%
0.47 2
 
6.9%
0.48 1
 
3.4%
ValueCountFrequency (%)
0.77 2
6.9%
0.67 3
10.3%
0.48 1
 
3.4%
0.47 2
6.9%
0.46 1
 
3.4%
0.34 2
6.9%
0.19 1
 
3.4%
0.17 1
 
3.4%
0.14 1
 
3.4%
0.07 2
6.9%

76.5
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.076897
Minimum0
Maximum76.5
Zeros20
Zeros (%)69.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:56:54.520711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.53
95-th percentile72.24
Maximum76.5
Range76.5
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation24.791457
Coefficient of variation (CV)2.0528003
Kurtosis2.1304361
Mean12.076897
Median Absolute Deviation (MAD)0
Skewness1.8932063
Sum350.23
Variance614.61632
MonotonicityNot monotonic
2023-12-10T15:56:54.634135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0.0 20
69.0%
0.53 2
 
6.9%
48.61 2
 
6.9%
75.4 1
 
3.4%
9.6 1
 
3.4%
76.5 1
 
3.4%
22.95 1
 
3.4%
67.5 1
 
3.4%
ValueCountFrequency (%)
0.0 20
69.0%
0.53 2
 
6.9%
9.6 1
 
3.4%
22.95 1
 
3.4%
48.61 2
 
6.9%
67.5 1
 
3.4%
75.4 1
 
3.4%
76.5 1
 
3.4%
ValueCountFrequency (%)
76.5 1
 
3.4%
75.4 1
 
3.4%
67.5 1
 
3.4%
48.61 2
 
6.9%
22.95 1
 
3.4%
9.6 1
 
3.4%
0.53 2
 
6.9%
0.0 20
69.0%

Sample

AF007010000001A0002391.50.3500.030.140.0462.2521.581765071.560.7237.51.570.1691.40.24.15.90.376.5
0AF007010000001B0009250.00.020.480.00.00.01.872.42.281.86.023.70.720.040.00.00.02.040.5200.010.070.1975.4
1AF007010000001A0025770.00.00.00.00.00.00.00.40.0335.971.01.350.00.00.00.00.00.00.000.00.00.00.0
2AF007010000001A0030500.00.00.590.00.00.01.11.52.70.310.014.50.80.020.00.00.02.70.6700.00.10.170.0
3AF007010000001A0040190.03.090.00.00.00.00.00.00.00.03.00.00.00.00.00.420.026.520.003.00.00.00.0
4AF007010000001A0041480.00.11.920.00.010.019.086.03.120.168.021.681.840.060.00.00.01.040.2600.010.120.149.6
5AF007010000001A0028660.00.40.00.110.020.119.64.861.64.080.073.60.01.120.00.00.0281.662.800.084.560.770.53
6AF007010000001A0005480.00.063.140.020.070.0232.676.014.065.162.062.340.00.210.00.00.02.70.7300.090.850.6748.61
7AF007010000001A0037420.01.270.00.00.00.00.00.00.00.03.00.00.00.00.00.430.026.520.003.00.00.00.0
8AF007010000002A0028660.00.40.00.110.020.119.64.861.64.080.073.60.01.120.00.00.0281.662.800.084.560.770.53
9AF007010000002A0005480.00.063.140.020.070.0232.676.014.065.162.062.340.00.210.00.00.02.70.7300.090.850.6748.61
AF007010000001A0002391.50.3500.030.140.0462.2521.581765071.560.7237.51.570.1691.40.24.15.90.376.5
19AF007010000003A0036320.00.00.00.00.00.00.060.062.829.322.00.140.040.00.00.00.07.621.8100.00.160.00.0
20AF007010000003A0037420.01.270.00.00.00.00.00.00.00.03.00.00.00.00.00.430.026.520.003.00.00.00.0
21AF007010000003A0040190.05.150.00.00.00.00.00.00.00.05.00.00.00.00.00.70.044.20.005.00.00.00.0
22AF007010000003A0002390.450.110.00.010.040.0118.686.4524.322.815.021.451.80.2171.250.470.020.70.4201.231.770.022.95
23AF007010000003A0005570.00.060.420.010.070.0232.673.920.982.42.050.40.00.350.00.00.02.260.8200.020.650.6767.5
24AF007010000003B0009230.00.110.450.010.010.03.33.66.33.4515.044.852.10.040.00.00.04.651.0500.020.150.470.0
25AF007010000003B0026010.00.036.790.060.020.01.051.3534.05119.2515.034.82.250.079.920.850.0236.60.8902.662.160.020.0
26AF007010000003B0016130.00.061.050.00.00.012.093.62.7167.8515.021.750.00.060.00.00.01.80.5600.020.080.340.0
27AF007010000003A0025770.00.00.00.00.00.00.00.20.0167.990.50.680.00.00.00.00.00.00.000.00.00.00.0
28AF007010000003B0027920.00.247.570.020.040.040.88.8514.553.015.0118.512.60.410.00.010.04.350.6600.060.620.480.0