Overview

Dataset statistics

Number of variables26
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory236.7 B

Variable types

Categorical8
Text1
Numeric17

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000030

Alerts

0 has constant value ""Constant
0.1 has constant value ""Constant
0.2 has constant value ""Constant
0.02.1 is highly imbalanced (56.1%)Imbalance
0.3 is highly imbalanced (77.8%)Imbalance
0.21 has 13 (46.4%) zerosZeros
6.3 has 13 (46.4%) zerosZeros
0.02 has 15 (53.6%) zerosZeros
32.76 has 8 (28.6%) zerosZeros
11.2 has 3 (10.7%) zerosZeros
23.1 has 5 (17.9%) zerosZeros
2.1 has 4 (14.3%) zerosZeros
147 has 3 (10.7%) zerosZeros
9.8 has 13 (46.4%) zerosZeros
0.21.1 has 6 (21.4%) zerosZeros
13.3 has 2 (7.1%) zerosZeros
3.71 has 4 (14.3%) zerosZeros
0.07 has 11 (39.3%) zerosZeros
0.63 has 6 (21.4%) zerosZeros
1.26 has 8 (28.6%) zerosZeros
4.08 has 18 (64.3%) zerosZeros

Reproduction

Analysis started2023-12-10 06:12:34.210642
Analysis finished2023-12-10 06:12:36.136910
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

AF007030000001
Categorical

Distinct4
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size356.0 B
AF007030000002
11 
AF007030000003
AF007030000001
AF007030000004

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAF007030000001
2nd rowAF007030000001
3rd rowAF007030000001
4th rowAF007030000001
5th rowAF007030000001

Common Values

ValueCountFrequency (%)
AF007030000002 11
39.3%
AF007030000003 8
28.6%
AF007030000001 7
25.0%
AF007030000004 2
 
7.1%

Length

2023-12-10T15:12:36.225776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:36.373606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
af007030000002 11
39.3%
af007030000003 8
28.6%
af007030000001 7
25.0%
af007030000004 2
 
7.1%
Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-10T15:12:36.576185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters196
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

Unique11 ?
Unique (%)39.3%

Sample

1st rowA000075
2nd rowA000381
3rd rowA000590
4th rowB001335
5th rowA002577
ValueCountFrequency (%)
b001335 3
 
10.7%
a004147 2
 
7.1%
a003746 2
 
7.1%
a002758 2
 
7.1%
a003742 2
 
7.1%
a002577 2
 
7.1%
a000075 2
 
7.1%
b000220 2
 
7.1%
a000381 1
 
3.6%
a004148 1
 
3.6%
Other values (9) 9
32.1%
2023-12-10T15:12:37.072059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 75
38.3%
A 22
 
11.2%
2 16
 
8.2%
3 15
 
7.7%
7 15
 
7.7%
4 14
 
7.1%
5 13
 
6.6%
1 9
 
4.6%
B 6
 
3.1%
8 5
 
2.6%
Other values (2) 6
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 168
85.7%
Uppercase Letter 28
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
44.6%
2 16
 
9.5%
3 15
 
8.9%
7 15
 
8.9%
4 14
 
8.3%
5 13
 
7.7%
1 9
 
5.4%
8 5
 
3.0%
6 3
 
1.8%
9 3
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
A 22
78.6%
B 6
 
21.4%

Most occurring scripts

ValueCountFrequency (%)
Common 168
85.7%
Latin 28
 
14.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 75
44.6%
2 16
 
9.5%
3 15
 
8.9%
7 15
 
8.9%
4 14
 
8.3%
5 13
 
7.7%
1 9
 
5.4%
8 5
 
3.0%
6 3
 
1.8%
9 3
 
1.8%
Latin
ValueCountFrequency (%)
A 22
78.6%
B 6
 
21.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 196
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 75
38.3%
A 22
 
11.2%
2 16
 
8.2%
3 15
 
7.7%
7 15
 
7.7%
4 14
 
7.1%
5 13
 
6.6%
1 9
 
4.6%
B 6
 
3.1%
8 5
 
2.6%
Other values (2) 6
 
3.1%

0
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

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 28
100.0%

Length

2023-12-10T15:12:37.669353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:38.170651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

0.21
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.115
Minimum0
Maximum0.85
Zeros13
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:38.720895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.01
Q30.1
95-th percentile0.57
Maximum0.85
Range0.85
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.21729822
Coefficient of variation (CV)1.8895498
Kurtosis4.7650206
Mean0.115
Median Absolute Deviation (MAD)0.01
Skewness2.2843207
Sum3.22
Variance0.047218519
MonotonicityNot monotonic
2023-12-10T15:12:39.604800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 13
46.4%
0.04 2
 
7.1%
0.01 2
 
7.1%
0.1 2
 
7.1%
0.03 2
 
7.1%
0.44 1
 
3.6%
0.64 1
 
3.6%
0.13 1
 
3.6%
0.31 1
 
3.6%
0.07 1
 
3.6%
Other values (2) 2
 
7.1%
ValueCountFrequency (%)
0.0 13
46.4%
0.01 2
 
7.1%
0.03 2
 
7.1%
0.04 2
 
7.1%
0.07 1
 
3.6%
0.1 2
 
7.1%
0.13 1
 
3.6%
0.31 1
 
3.6%
0.42 1
 
3.6%
0.44 1
 
3.6%
ValueCountFrequency (%)
0.85 1
3.6%
0.64 1
3.6%
0.44 1
3.6%
0.42 1
3.6%
0.31 1
3.6%
0.13 1
3.6%
0.1 2
7.1%
0.07 1
3.6%
0.04 2
7.1%
0.03 2
7.1%

6.3
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9867857
Minimum0
Maximum28
Zeros13
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:40.058196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.1
Q30.74
95-th percentile10
Maximum28
Range28
Interquartile range (IQR)0.74

Descriptive statistics

Standard deviation5.7110913
Coefficient of variation (CV)2.8745381
Kurtosis16.920406
Mean1.9867857
Median Absolute Deviation (MAD)0.1
Skewness3.959598
Sum55.63
Variance32.616563
MonotonicityNot monotonic
2023-12-10T15:12:40.378878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0.0 13
46.4%
0.1 2
 
7.1%
0.56 2
 
7.1%
10.0 2
 
7.1%
0.48 1
 
3.6%
0.72 1
 
3.6%
1.8 1
 
3.6%
0.8 1
 
3.6%
0.59 1
 
3.6%
0.18 1
 
3.6%
Other values (3) 3
 
10.7%
ValueCountFrequency (%)
0.0 13
46.4%
0.1 2
 
7.1%
0.18 1
 
3.6%
0.48 1
 
3.6%
0.56 2
 
7.1%
0.59 1
 
3.6%
0.72 1
 
3.6%
0.8 1
 
3.6%
0.84 1
 
3.6%
0.9 1
 
3.6%
ValueCountFrequency (%)
28.0 1
3.6%
10.0 2
7.1%
1.8 1
3.6%
0.9 1
3.6%
0.84 1
3.6%
0.8 1
3.6%
0.72 1
3.6%
0.59 1
3.6%
0.56 2
7.1%
0.48 1
3.6%

0.03
Categorical

Distinct3
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
0.0
18 
0.01
0.04

Length

Max length4
Median length3
Mean length3.3571429
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 18
64.3%
0.01 8
28.6%
0.04 2
 
7.1%

Length

2023-12-10T15:12:40.735250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:41.261890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 18
64.3%
0.01 8
28.6%
0.04 2
 
7.1%

0.02
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0125
Minimum0
Maximum0.08
Zeros15
Zeros (%)53.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:42.005911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.01
95-th percentile0.05
Maximum0.08
Range0.08
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.020480343
Coefficient of variation (CV)1.6384274
Kurtosis3.5329317
Mean0.0125
Median Absolute Deviation (MAD)0
Skewness1.976225
Sum0.35
Variance0.00041944444
MonotonicityNot monotonic
2023-12-10T15:12:42.724509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 15
53.6%
0.01 7
25.0%
0.04 2
 
7.1%
0.05 2
 
7.1%
0.02 1
 
3.6%
0.08 1
 
3.6%
ValueCountFrequency (%)
0.0 15
53.6%
0.01 7
25.0%
0.02 1
 
3.6%
0.04 2
 
7.1%
0.05 2
 
7.1%
0.08 1
 
3.6%
ValueCountFrequency (%)
0.08 1
 
3.6%
0.05 2
 
7.1%
0.04 2
 
7.1%
0.02 1
 
3.6%
0.01 7
25.0%
0.0 15
53.6%

0.04
Categorical

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
0.0
17 
0.01
0.05
0.02
 
1
0.04
 
1

Length

Max length4
Median length3
Mean length3.3928571
Min length3

Unique

Unique2 ?
Unique (%)7.1%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 17
60.7%
0.01 7
25.0%
0.05 2
 
7.1%
0.02 1
 
3.6%
0.04 1
 
3.6%

Length

2023-12-10T15:12:43.362653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:44.198669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 17
60.7%
0.01 7
25.0%
0.05 2
 
7.1%
0.02 1
 
3.6%
0.04 1
 
3.6%

32.76
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.025357
Minimum0
Maximum147
Zeros8
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:44.775260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.995
Q32.72
95-th percentile61
Maximum147
Range147
Interquartile range (IQR)2.72

Descriptive statistics

Standard deviation30.945004
Coefficient of variation (CV)2.8067122
Kurtosis14.525722
Mean11.025357
Median Absolute Deviation (MAD)0.995
Skewness3.687454
Sum308.71
Variance957.5933
MonotonicityNot monotonic
2023-12-10T15:12:45.555760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 8
28.6%
0.99 2
 
7.1%
1.73 2
 
7.1%
0.97 2
 
7.1%
61.0 2
 
7.1%
1.02 1
 
3.6%
147.0 1
 
3.6%
2.27 1
 
3.6%
5.68 1
 
3.6%
2.59 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
0.0 8
28.6%
0.32 1
 
3.6%
0.48 1
 
3.6%
0.97 2
 
7.1%
0.99 2
 
7.1%
1.0 1
 
3.6%
1.02 1
 
3.6%
1.1 1
 
3.6%
1.73 2
 
7.1%
2.27 1
 
3.6%
ValueCountFrequency (%)
147.0 1
3.6%
61.0 2
7.1%
11.35 1
3.6%
5.68 1
3.6%
3.41 1
3.6%
3.11 1
3.6%
2.59 1
3.6%
2.27 1
3.6%
1.73 2
7.1%
1.1 1
3.6%

11.2
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2178571
Minimum0
Maximum65.4
Zeros3
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:45.939787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.23
median1.725
Q38.7
95-th percentile47.76
Maximum65.4
Range65.4
Interquartile range (IQR)8.47

Descriptive statistics

Standard deviation16.825411
Coefficient of variation (CV)2.0474207
Kurtosis9.0155285
Mean8.2178571
Median Absolute Deviation (MAD)1.695
Skewness3.0752564
Sum230.1
Variance283.09446
MonotonicityNot monotonic
2023-12-10T15:12:46.724807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 3
 
10.7%
0.63 2
 
7.1%
0.2 2
 
7.1%
65.4 2
 
7.1%
11.56 2
 
7.1%
15.0 2
 
7.1%
0.06 1
 
3.6%
8.4 1
 
3.6%
1.95 1
 
3.6%
0.12 1
 
3.6%
Other values (11) 11
39.3%
ValueCountFrequency (%)
0.0 3
10.7%
0.06 1
 
3.6%
0.12 1
 
3.6%
0.2 2
7.1%
0.24 1
 
3.6%
0.3 1
 
3.6%
0.63 2
7.1%
0.95 1
 
3.6%
1.2 1
 
3.6%
1.5 1
 
3.6%
ValueCountFrequency (%)
65.4 2
7.1%
15.0 2
7.1%
11.56 2
7.1%
9.6 1
3.6%
8.4 1
3.6%
6.12 1
3.6%
4.8 1
3.6%
4.0 1
3.6%
3.03 1
3.6%
2.25 1
3.6%

23.1
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.1025
Minimum0
Maximum95.9
Zeros5
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:47.255613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.1925
median3.205
Q35.985
95-th percentile59.7
Maximum95.9
Range95.9
Interquartile range (IQR)4.7925

Descriptive statistics

Standard deviation23.20887
Coefficient of variation (CV)1.9176922
Kurtosis6.2247005
Mean12.1025
Median Absolute Deviation (MAD)2.665
Skewness2.5424017
Sum338.87
Variance538.65166
MonotonicityNot monotonic
2023-12-10T15:12:47.790039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 5
17.9%
1.38 2
 
7.1%
3.28 2
 
7.1%
59.7 2
 
7.1%
5.87 2
 
7.1%
32.0 2
 
7.1%
0.33 1
 
3.6%
95.9 1
 
3.6%
7.75 1
 
3.6%
1.2 1
 
3.6%
Other values (9) 9
32.1%
ValueCountFrequency (%)
0.0 5
17.9%
0.33 1
 
3.6%
1.17 1
 
3.6%
1.2 1
 
3.6%
1.38 2
 
7.1%
1.5 1
 
3.6%
2.4 1
 
3.6%
2.7 1
 
3.6%
3.2 1
 
3.6%
3.21 1
 
3.6%
ValueCountFrequency (%)
95.9 1
3.6%
59.7 2
7.1%
32.0 2
7.1%
7.75 1
3.6%
6.33 1
3.6%
5.87 2
7.1%
4.92 1
3.6%
3.8 1
3.6%
3.28 2
7.1%
3.21 1
3.6%

2.1
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.453571
Minimum0
Maximum292.9
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:48.007568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.055
median0.215
Q357.215
95-th percentile237.6
Maximum292.9
Range292.9
Interquartile range (IQR)57.16

Descriptive statistics

Standard deviation94.076879
Coefficient of variation (CV)1.7599737
Kurtosis0.65554524
Mean53.453571
Median Absolute Deviation (MAD)0.215
Skewness1.4887496
Sum1496.7
Variance8850.4591
MonotonicityNot monotonic
2023-12-10T15:12:48.182036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.06 4
14.3%
0.0 4
14.3%
3.0 3
10.7%
183.84 2
 
7.1%
237.6 2
 
7.1%
0.04 2
 
7.1%
0.09 1
 
3.6%
5.6 1
 
3.6%
292.9 1
 
3.6%
100.79 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
0.0 4
14.3%
0.02 1
 
3.6%
0.04 2
7.1%
0.06 4
14.3%
0.09 1
 
3.6%
0.1 1
 
3.6%
0.2 1
 
3.6%
0.23 1
 
3.6%
0.3 1
 
3.6%
3.0 3
10.7%
ValueCountFrequency (%)
292.9 1
 
3.6%
237.6 2
7.1%
201.58 1
 
3.6%
183.84 2
7.1%
100.79 1
 
3.6%
42.69 1
 
3.6%
5.6 1
 
3.6%
3.0 3
10.7%
0.3 1
 
3.6%
0.23 1
 
3.6%

70
Real number (ℝ)

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.585714
Minimum0.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:48.416836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.3
5-th percentile0.535
Q11.875
median3
Q310
95-th percentile89.5
Maximum100
Range99.7
Interquartile range (IQR)8.125

Descriptive statistics

Standard deviation28.021417
Coefficient of variation (CV)1.9211549
Kurtosis5.3756639
Mean14.585714
Median Absolute Deviation (MAD)2
Skewness2.5126253
Sum408.4
Variance785.19979
MonotonicityNot monotonic
2023-12-10T15:12:48.649960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
3.0 7
25.0%
2.0 3
10.7%
10.0 3
10.7%
5.0 3
10.7%
1.5 2
 
7.1%
30.0 2
 
7.1%
1.0 2
 
7.1%
100.0 2
 
7.1%
0.5 1
 
3.6%
0.6 1
 
3.6%
Other values (2) 2
 
7.1%
ValueCountFrequency (%)
0.3 1
 
3.6%
0.5 1
 
3.6%
0.6 1
 
3.6%
1.0 2
 
7.1%
1.5 2
 
7.1%
2.0 3
10.7%
3.0 7
25.0%
5.0 3
10.7%
10.0 3
10.7%
30.0 2
 
7.1%
ValueCountFrequency (%)
100.0 2
 
7.1%
70.0 1
 
3.6%
30.0 2
 
7.1%
10.0 3
10.7%
5.0 3
10.7%
3.0 7
25.0%
2.0 3
10.7%
1.5 2
 
7.1%
1.0 2
 
7.1%
0.6 1
 
3.6%

147
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.801786
Minimum0
Maximum269.5
Zeros3
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:48.838327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.8675
median13.28
Q325.05
95-th percentile123
Maximum269.5
Range269.5
Interquartile range (IQR)21.1825

Descriptive statistics

Standard deviation56.301404
Coefficient of variation (CV)1.8891957
Kurtosis12.563813
Mean29.801786
Median Absolute Deviation (MAD)10.15
Skewness3.379756
Sum834.45
Variance3169.8481
MonotonicityNot monotonic
2023-12-10T15:12:49.053114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0.0 3
 
10.7%
13.68 2
 
7.1%
13.28 2
 
7.1%
32.4 2
 
7.1%
4.39 2
 
7.1%
123.0 2
 
7.1%
0.24 1
 
3.6%
269.5 1
 
3.6%
20.0 1
 
3.6%
0.41 1
 
3.6%
Other values (11) 11
39.3%
ValueCountFrequency (%)
0.0 3
10.7%
0.24 1
 
3.6%
0.41 1
 
3.6%
0.81 1
 
3.6%
2.3 1
 
3.6%
4.39 2
7.1%
6.69 1
 
3.6%
8.13 1
 
3.6%
9.05 1
 
3.6%
11.3 1
 
3.6%
ValueCountFrequency (%)
269.5 1
3.6%
123.0 2
7.1%
39.5 1
3.6%
36.0 1
3.6%
32.4 2
7.1%
22.6 1
3.6%
20.0 1
3.6%
19.92 1
3.6%
14.5 1
3.6%
13.68 2
7.1%

9.8
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.275
Minimum0
Maximum21
Zeros13
Zeros (%)46.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:49.256772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.4
95-th percentile15.1725
Maximum21
Range21
Interquartile range (IQR)1.4

Descriptive statistics

Standard deviation5.4304379
Coefficient of variation (CV)2.3870057
Kurtosis9.7399792
Mean2.275
Median Absolute Deviation (MAD)0.5
Skewness3.2292957
Sum63.7
Variance29.489656
MonotonicityNot monotonic
2023-12-10T15:12:49.576135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 13
46.4%
0.5 3
 
10.7%
4.35 2
 
7.1%
21.0 2
 
7.1%
0.69 1
 
3.6%
2.3 1
 
3.6%
1.2 1
 
3.6%
0.8 1
 
3.6%
2.61 1
 
3.6%
0.75 1
 
3.6%
Other values (2) 2
 
7.1%
ValueCountFrequency (%)
0.0 13
46.4%
0.5 3
 
10.7%
0.69 1
 
3.6%
0.75 1
 
3.6%
0.8 1
 
3.6%
1.15 1
 
3.6%
1.2 1
 
3.6%
2.0 1
 
3.6%
2.3 1
 
3.6%
2.61 1
 
3.6%
ValueCountFrequency (%)
21.0 2
7.1%
4.35 2
7.1%
2.61 1
3.6%
2.3 1
3.6%
2.0 1
3.6%
1.2 1
3.6%
1.15 1
3.6%
0.8 1
3.6%
0.75 1
3.6%
0.69 1
3.6%

0.21.1
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1425
Minimum0
Maximum1.19
Zeros6
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:49.771880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.01
median0.06
Q30.11
95-th percentile0.6
Maximum1.19
Range1.19
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.25728821
Coefficient of variation (CV)1.8055313
Kurtosis10.317226
Mean0.1425
Median Absolute Deviation (MAD)0.05
Skewness3.0713041
Sum3.99
Variance0.066197222
MonotonicityNot monotonic
2023-12-10T15:12:49.994343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 6
21.4%
0.1 3
10.7%
0.04 3
10.7%
0.06 3
10.7%
0.01 2
 
7.1%
0.02 2
 
7.1%
0.24 2
 
7.1%
0.6 2
 
7.1%
0.11 2
 
7.1%
0.17 1
 
3.6%
Other values (2) 2
 
7.1%
ValueCountFrequency (%)
0.0 6
21.4%
0.01 2
 
7.1%
0.02 2
 
7.1%
0.04 3
10.7%
0.06 3
10.7%
0.07 1
 
3.6%
0.1 3
10.7%
0.11 2
 
7.1%
0.17 1
 
3.6%
0.24 2
 
7.1%
ValueCountFrequency (%)
1.19 1
 
3.6%
0.6 2
7.1%
0.24 2
7.1%
0.17 1
 
3.6%
0.11 2
7.1%
0.1 3
10.7%
0.07 1
 
3.6%
0.06 3
10.7%
0.04 3
10.7%
0.02 2
7.1%

0.1
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

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 28
100.0%

Length

2023-12-10T15:12:50.215846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:50.383245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

0.02.1
Categorical

IMBALANCE 

Distinct5
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
0.0
23 
0.07
 
2
0.21
 
1
0.05
 
1
0.28
 
1

Length

Max length4
Median length3
Mean length3.1785714
Min length3

Unique

Unique3 ?
Unique (%)10.7%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 23
82.1%
0.07 2
 
7.1%
0.21 1
 
3.6%
0.05 1
 
3.6%
0.28 1
 
3.6%

Length

2023-12-10T15:12:50.567099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:50.752301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 23
82.1%
0.07 2
 
7.1%
0.21 1
 
3.6%
0.05 1
 
3.6%
0.28 1
 
3.6%

0.2
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
0
28 

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 28
100.0%

Length

2023-12-10T15:12:50.946717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:51.122185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 28
100.0%

13.3
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3710714
Minimum0
Maximum35.4
Zeros2
Zeros (%)7.1%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:51.276209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1365
Q12.49
median3.185
Q39.95
95-th percentile29.198
Maximum35.4
Range35.4
Interquartile range (IQR)7.46

Descriptive statistics

Standard deviation9.3360382
Coefficient of variation (CV)1.2665782
Kurtosis4.4032365
Mean7.3710714
Median Absolute Deviation (MAD)2.325
Skewness2.1357915
Sum206.39
Variance87.16161
MonotonicityNot monotonic
2023-12-10T15:12:51.499396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2.49 2
 
7.1%
2.52 2
 
7.1%
0.0 2
 
7.1%
35.4 2
 
7.1%
5.55 2
 
7.1%
11.0 2
 
7.1%
0.9 1
 
3.6%
17.5 1
 
3.6%
2.65 1
 
3.6%
17.68 1
 
3.6%
Other values (12) 12
42.9%
ValueCountFrequency (%)
0.0 2
7.1%
0.39 1
3.6%
0.9 1
3.6%
1.15 1
3.6%
1.25 1
3.6%
2.49 2
7.1%
2.5 1
3.6%
2.52 2
7.1%
2.65 1
3.6%
2.7 1
3.6%
ValueCountFrequency (%)
35.4 2
7.1%
17.68 1
3.6%
17.5 1
3.6%
13.26 1
3.6%
11.0 2
7.1%
9.6 1
3.6%
8.88 1
3.6%
5.55 2
7.1%
3.86 1
3.6%
3.78 1
3.6%

3.71
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)67.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.07
Minimum0
Maximum5.58
Zeros4
Zeros (%)14.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:51.697920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.175
median0.54
Q30.955
95-th percentile5.146
Maximum5.58
Range5.58
Interquartile range (IQR)0.78

Descriptive statistics

Standard deviation1.5705531
Coefficient of variation (CV)1.4678066
Kurtosis3.9085368
Mean1.07
Median Absolute Deviation (MAD)0.4
Skewness2.1619267
Sum29.96
Variance2.466637
MonotonicityNot monotonic
2023-12-10T15:12:51.893564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.0 4
14.3%
0.51 2
 
7.1%
0.6 2
 
7.1%
5.58 2
 
7.1%
0.2 2
 
7.1%
1.7 2
 
7.1%
0.86 2
 
7.1%
2.43 1
 
3.6%
4.34 1
 
3.6%
0.25 1
 
3.6%
Other values (9) 9
32.1%
ValueCountFrequency (%)
0.0 4
14.3%
0.07 1
 
3.6%
0.08 1
 
3.6%
0.1 1
 
3.6%
0.2 2
7.1%
0.24 1
 
3.6%
0.25 1
 
3.6%
0.29 1
 
3.6%
0.51 2
7.1%
0.57 1
 
3.6%
ValueCountFrequency (%)
5.58 2
7.1%
4.34 1
3.6%
2.43 1
3.6%
1.7 2
7.1%
1.12 1
3.6%
0.9 1
3.6%
0.86 2
7.1%
0.67 1
3.6%
0.6 2
7.1%
0.57 1
3.6%

0.3
Categorical

IMBALANCE 

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
0.0
27 
0.84
 
1

Length

Max length4
Median length3
Mean length3.0357143
Min length3

Unique

Unique1 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
0.0 27
96.4%
0.84 1
 
3.6%

Length

2023-12-10T15:12:52.104778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:12:52.261414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 27
96.4%
0.84 1
 
3.6%

0.07
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20464286
Minimum0
Maximum2
Zeros11
Zeros (%)39.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:52.502486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.015
Q30.1125
95-th percentile1.1535
Maximum2
Range2
Interquartile range (IQR)0.1125

Descriptive statistics

Standard deviation0.46629733
Coefficient of variation (CV)2.2785908
Kurtosis9.6044025
Mean0.20464286
Median Absolute Deviation (MAD)0.015
Skewness3.0994898
Sum5.73
Variance0.2174332
MonotonicityNot monotonic
2023-12-10T15:12:52.729405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 11
39.3%
0.01 3
 
10.7%
0.03 2
 
7.1%
0.51 2
 
7.1%
0.1 2
 
7.1%
0.02 2
 
7.1%
0.15 1
 
3.6%
0.28 1
 
3.6%
1.5 1
 
3.6%
0.38 1
 
3.6%
Other values (2) 2
 
7.1%
ValueCountFrequency (%)
0.0 11
39.3%
0.01 3
 
10.7%
0.02 2
 
7.1%
0.03 2
 
7.1%
0.07 1
 
3.6%
0.1 2
 
7.1%
0.15 1
 
3.6%
0.28 1
 
3.6%
0.38 1
 
3.6%
0.51 2
 
7.1%
ValueCountFrequency (%)
2.0 1
3.6%
1.5 1
3.6%
0.51 2
7.1%
0.38 1
3.6%
0.28 1
3.6%
0.15 1
3.6%
0.1 2
7.1%
0.07 1
3.6%
0.03 2
7.1%
0.02 2
7.1%

0.63
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53607143
Minimum0
Maximum3.18
Zeros6
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:53.080354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.08
median0.11
Q30.225
95-th percentile2.837
Maximum3.18
Range3.18
Interquartile range (IQR)0.145

Descriptive statistics

Standard deviation0.9656291
Coefficient of variation (CV)1.8013068
Kurtosis2.7935102
Mean0.53607143
Median Absolute Deviation (MAD)0.1
Skewness2.0231469
Sum15.01
Variance0.93243955
MonotonicityNot monotonic
2023-12-10T15:12:53.317464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0.0 6
21.4%
0.11 5
17.9%
0.09 2
 
7.1%
3.18 2
 
7.1%
0.19 2
 
7.1%
2.2 2
 
7.1%
0.1 2
 
7.1%
0.22 1
 
3.6%
0.05 1
 
3.6%
0.2 1
 
3.6%
Other values (4) 4
14.3%
ValueCountFrequency (%)
0.0 6
21.4%
0.05 1
 
3.6%
0.09 2
 
7.1%
0.1 2
 
7.1%
0.11 5
17.9%
0.16 1
 
3.6%
0.19 2
 
7.1%
0.2 1
 
3.6%
0.22 1
 
3.6%
0.24 1
 
3.6%
ValueCountFrequency (%)
3.18 2
 
7.1%
2.2 2
 
7.1%
1.68 1
 
3.6%
0.39 1
 
3.6%
0.24 1
 
3.6%
0.22 1
 
3.6%
0.2 1
 
3.6%
0.19 2
 
7.1%
0.16 1
 
3.6%
0.11 5
17.9%

1.26
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.38714286
Minimum0
Maximum4.27
Zeros8
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:53.503215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.085
Q30.2
95-th percentile1.8
Maximum4.27
Range4.27
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.89281435
Coefficient of variation (CV)2.3061625
Kurtosis13.789012
Mean0.38714286
Median Absolute Deviation (MAD)0.085
Skewness3.5517414
Sum10.84
Variance0.79711746
MonotonicityNot monotonic
2023-12-10T15:12:53.715825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0.0 8
28.6%
0.01 2
 
7.1%
0.12 2
 
7.1%
0.2 2
 
7.1%
1.8 2
 
7.1%
0.58 1
 
3.6%
4.27 1
 
3.6%
0.04 1
 
3.6%
0.07 1
 
3.6%
0.18 1
 
3.6%
Other values (7) 7
25.0%
ValueCountFrequency (%)
0.0 8
28.6%
0.01 2
 
7.1%
0.04 1
 
3.6%
0.05 1
 
3.6%
0.07 1
 
3.6%
0.08 1
 
3.6%
0.09 1
 
3.6%
0.12 2
 
7.1%
0.14 1
 
3.6%
0.17 1
 
3.6%
ValueCountFrequency (%)
4.27 1
3.6%
1.8 2
7.1%
0.6 1
3.6%
0.58 1
3.6%
0.31 1
3.6%
0.2 2
7.1%
0.18 1
3.6%
0.17 1
3.6%
0.14 1
3.6%
0.12 2
7.1%

4.08
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.424643
Minimum0
Maximum125.67
Zeros18
Zeros (%)64.3%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-10T15:12:54.327859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33.7
95-th percentile74.6295
Maximum125.67
Range125.67
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation29.296151
Coefficient of variation (CV)2.8102786
Kurtosis10.073991
Mean10.424643
Median Absolute Deviation (MAD)0
Skewness3.2144485
Sum291.89
Variance858.26448
MonotonicityNot monotonic
2023-12-10T15:12:54.612524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0.0 18
64.3%
0.02 2
 
7.1%
4.0 2
 
7.1%
51.6 1
 
3.6%
3.6 1
 
3.6%
10.63 1
 
3.6%
125.67 1
 
3.6%
5.32 1
 
3.6%
87.03 1
 
3.6%
ValueCountFrequency (%)
0.0 18
64.3%
0.02 2
 
7.1%
3.6 1
 
3.6%
4.0 2
 
7.1%
5.32 1
 
3.6%
10.63 1
 
3.6%
51.6 1
 
3.6%
87.03 1
 
3.6%
125.67 1
 
3.6%
ValueCountFrequency (%)
125.67 1
 
3.6%
87.03 1
 
3.6%
51.6 1
 
3.6%
10.63 1
 
3.6%
5.32 1
 
3.6%
4.0 2
 
7.1%
3.6 1
 
3.6%
0.02 2
 
7.1%
0.0 18
64.3%

Sample

AF007030000001A00006800.216.30.030.020.0432.7611.223.12.1701479.80.21.10.10.02.10.213.33.710.30.070.631.264.08
0AF007030000001A00007500.00.10.00.010.00.990.631.38183.843.013.684.350.0100.002.490.510.00.00.110.010.0
1AF007030000001A00038100.440.480.010.020.010.320.953.210.231.536.00.00.1700.003.860.860.00.150.220.651.6
2AF007030000001A00059000.040.00.00.00.00.486.123.20.020.52.30.00.100.002.970.070.00.280.090.090.0
3AF007030000001B00133500.00.560.00.010.011.730.23.280.062.013.280.50.0400.002.520.60.00.00.110.120.0
4AF007030000001A00257700.00.00.00.00.00.00.240.0201.580.60.810.00.000.000.00.00.00.00.00.00.0
5AF007030000001A00374200.640.00.00.00.00.00.00.00.01.50.00.00.000.21013.260.00.01.50.00.00.0
6AF007030000001A00414800.040.720.00.00.03.412.251.170.063.08.130.690.0200.000.390.10.00.00.050.053.6
7AF007030000002B00022000.00.00.010.040.00.065.459.7237.630.032.40.00.2400.0035.45.580.00.033.180.00.0
8AF007030000002A00374600.010.00.010.00.00.9711.565.870.041.04.390.00.100.0705.550.20.00.510.190.20.02
9AF007030000002B00133500.00.560.00.010.011.730.23.280.062.013.280.50.0400.002.520.60.00.00.110.120.0
AF007030000001A00006800.216.30.030.020.0432.7611.223.12.1701479.80.21.10.10.02.10.213.33.710.30.070.631.264.08
18AF007030000003B00022000.00.00.010.040.00.065.459.7237.630.032.40.00.2400.0035.45.580.00.033.180.00.0
19AF007030000003A00275800.110.00.040.050.0561.015.032.03.0100.0123.021.00.600.0011.01.70.00.12.21.84.0
20AF007030000003A00414600.00.180.00.00.01.01.21.50.05.09.050.50.0400.001.150.240.00.010.090.080.0
21AF007030000003B00133500.00.840.00.010.022.590.34.920.093.019.920.750.0600.003.780.90.00.00.160.180.0
22AF007030000003A00414700.070.90.00.00.015.684.81.20.15.011.31.150.0600.001.250.290.00.010.10.075.32
23AF007030000003A00374200.850.00.00.00.00.00.00.00.02.00.00.00.000.28017.680.00.02.00.00.00.0
24AF007030000003A00257700.00.00.00.00.00.00.120.0100.790.30.410.00.000.000.00.00.00.00.00.00.0
25AF007030000003A00374600.010.00.010.00.00.9711.565.870.041.04.390.00.100.0705.550.20.00.510.190.20.02
26AF007030000004A00007400.030.00.00.00.012.271.957.75292.95.020.02.00.1100.002.650.250.00.020.390.040.0
27AF007030000004A00033500.4228.00.00.080.04147.08.495.95.670.0269.50.01.1900.0017.54.340.00.071.684.2787.03