Overview

Dataset statistics

Number of variables17
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory156.6 B

Variable types

Text1
Categorical15
Numeric1

Dataset

DescriptionSample
Author(주)어메이징푸드솔루션
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=AFS00000000000000053

Alerts

1.3 has constant value ""Constant
1.1 is highly imbalanced (63.8%)Imbalance
INDEX0001 has unique valuesUnique

Reproduction

Analysis started2023-12-10 06:55:04.684853
Analysis finished2023-12-10 06:55:08.248256
Duration3.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

INDEX0001
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-10T15:55:08.393195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters261
Distinct characters15
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st rowINDEX0002
2nd rowINDEX0003
3rd rowINDEX0004
4th rowINDEX0005
5th rowINDEX0006
ValueCountFrequency (%)
index0002 1
 
3.4%
index0017 1
 
3.4%
index0029 1
 
3.4%
index0028 1
 
3.4%
index0027 1
 
3.4%
index0026 1
 
3.4%
index0025 1
 
3.4%
index0024 1
 
3.4%
index0023 1
 
3.4%
index0022 1
 
3.4%
Other values (19) 19
65.5%
2023-12-10T15:55:08.709537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 69
26.4%
I 29
11.1%
N 29
11.1%
D 29
11.1%
E 29
11.1%
X 29
11.1%
2 13
 
5.0%
1 12
 
4.6%
3 4
 
1.5%
4 3
 
1.1%
Other values (5) 15
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 145
55.6%
Decimal Number 116
44.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 69
59.5%
2 13
 
11.2%
1 12
 
10.3%
3 4
 
3.4%
4 3
 
2.6%
5 3
 
2.6%
6 3
 
2.6%
7 3
 
2.6%
8 3
 
2.6%
9 3
 
2.6%
Uppercase Letter
ValueCountFrequency (%)
I 29
20.0%
N 29
20.0%
D 29
20.0%
E 29
20.0%
X 29
20.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 145
55.6%
Common 116
44.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 69
59.5%
2 13
 
11.2%
1 12
 
10.3%
3 4
 
3.4%
4 3
 
2.6%
5 3
 
2.6%
6 3
 
2.6%
7 3
 
2.6%
8 3
 
2.6%
9 3
 
2.6%
Latin
ValueCountFrequency (%)
I 29
20.0%
N 29
20.0%
D 29
20.0%
E 29
20.0%
X 29
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 261
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 69
26.4%
I 29
11.1%
N 29
11.1%
D 29
11.1%
E 29
11.1%
X 29
11.1%
2 13
 
5.0%
1 12
 
4.6%
3 4
 
1.5%
4 3
 
1.1%
Other values (5) 15
 
5.7%

1
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
2
17 
1
12 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 17
58.6%
1 12
41.4%

Length

2023-12-10T15:55:08.828934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:08.917657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 17
58.6%
1 12
41.4%

2
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
5
9 
1
9 
2
6 
4
4 
3
1 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row5
2nd row1
3rd row5
4th row5
5th row1

Common Values

ValueCountFrequency (%)
5 9
31.0%
1 9
31.0%
2 6
20.7%
4 4
13.8%
3 1
 
3.4%

Length

2023-12-10T15:55:09.022267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:09.136379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 9
31.0%
1 9
31.0%
2 6
20.7%
4 4
13.8%
3 1
 
3.4%

2.1
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
12 
3
6 
4
5 
5
3 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row3

Common Values

ValueCountFrequency (%)
1 12
41.4%
3 6
20.7%
4 5
17.2%
5 3
 
10.3%
2 3
 
10.3%

Length

2023-12-10T15:55:09.248773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:09.343092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 12
41.4%
3 6
20.7%
4 5
17.2%
5 3
 
10.3%
2 3
 
10.3%

2.2
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
9 
3
6 
4
5 
5
5 
2
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row1
3rd row4
4th row2
5th row3

Common Values

ValueCountFrequency (%)
1 9
31.0%
3 6
20.7%
4 5
17.2%
5 5
17.2%
2 4
13.8%

Length

2023-12-10T15:55:09.447963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:09.546359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 9
31.0%
3 6
20.7%
4 5
17.2%
5 5
17.2%
2 4
13.8%

1.1
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
27 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 27
93.1%
2 2
 
6.9%

Length

2023-12-10T15:55:09.662218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:09.753706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
93.1%
2 2
 
6.9%

3
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
10 
3
8 
4
6 
2
5 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row3
3rd row2
4th row3
5th row2

Common Values

ValueCountFrequency (%)
1 10
34.5%
3 8
27.6%
4 6
20.7%
2 5
17.2%

Length

2023-12-10T15:55:09.851861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:09.955578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10
34.5%
3 8
27.6%
4 6
20.7%
2 5
17.2%

7
Real number (ℝ)

Distinct8
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7241379
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-10T15:55:10.058693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median4
Q35
95-th percentile6.6
Maximum8
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9801975
Coefficient of variation (CV)0.53171971
Kurtosis-0.7492698
Mean3.7241379
Median Absolute Deviation (MAD)1
Skewness0.11595829
Sum108
Variance3.9211823
MonotonicityNot monotonic
2023-12-10T15:55:10.167195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 6
20.7%
5 6
20.7%
4 6
20.7%
6 3
10.3%
2 3
10.3%
3 3
10.3%
7 1
 
3.4%
8 1
 
3.4%
ValueCountFrequency (%)
1 6
20.7%
2 3
10.3%
3 3
10.3%
4 6
20.7%
5 6
20.7%
6 3
10.3%
7 1
 
3.4%
8 1
 
3.4%
ValueCountFrequency (%)
8 1
 
3.4%
7 1
 
3.4%
6 3
10.3%
5 6
20.7%
4 6
20.7%
3 3
10.3%
2 3
10.3%
1 6
20.7%

1.2
Categorical

Distinct4
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
8 
3
7 
2
7 
4
7 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row3
3rd row1
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 8
27.6%
3 7
24.1%
2 7
24.1%
4 7
24.1%

Length

2023-12-10T15:55:10.289629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:10.392087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8
27.6%
3 7
24.1%
2 7
24.1%
4 7
24.1%

1.3
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
29 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 29
100.0%

Length

2023-12-10T15:55:10.498178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:10.582721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 29
100.0%

2.3
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
4
10 
5
7 
3
6 
1
5 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row3
2nd row1
3rd row4
4th row5
5th row3

Common Values

ValueCountFrequency (%)
4 10
34.5%
5 7
24.1%
3 6
20.7%
1 5
17.2%
2 1
 
3.4%

Length

2023-12-10T15:55:10.677175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:10.776013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 10
34.5%
5 7
24.1%
3 6
20.7%
1 5
17.2%
2 1
 
3.4%

3.1
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
4
9 
1
7 
5
6 
2
4 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row1
4th row4
5th row2

Common Values

ValueCountFrequency (%)
4 9
31.0%
1 7
24.1%
5 6
20.7%
2 4
13.8%
3 3
 
10.3%

Length

2023-12-10T15:55:10.880488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:10.986461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 9
31.0%
1 7
24.1%
5 6
20.7%
2 4
13.8%
3 3
 
10.3%

5
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
3
9 
5
6 
1
5 
2
5 
4
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row4
3rd row5
4th row1
5th row3

Common Values

ValueCountFrequency (%)
3 9
31.0%
5 6
20.7%
1 5
17.2%
2 5
17.2%
4 4
13.8%

Length

2023-12-10T15:55:11.091576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:11.193398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 9
31.0%
5 6
20.7%
1 5
17.2%
2 5
17.2%
4 4
13.8%

1.4
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
5
8 
4
8 
3
5 
1
5 
2
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row5
3rd row4
4th row1
5th row5

Common Values

ValueCountFrequency (%)
5 8
27.6%
4 8
27.6%
3 5
17.2%
1 5
17.2%
2 3
 
10.3%

Length

2023-12-10T15:55:11.298199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:11.396352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 8
27.6%
4 8
27.6%
3 5
17.2%
1 5
17.2%
2 3
 
10.3%

2.4
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
5
7 
4
6 
3
6 
1
6 
2
4 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row4
3rd row3
4th row2
5th row4

Common Values

ValueCountFrequency (%)
5 7
24.1%
4 6
20.7%
3 6
20.7%
1 6
20.7%
2 4
13.8%

Length

2023-12-10T15:55:11.492546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:11.575612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 7
24.1%
4 6
20.7%
3 6
20.7%
1 6
20.7%
2 4
13.8%

2.5
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
2
9 
3
8 
4
5 
5
4 
1
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row1
3rd row4
4th row3
5th row5

Common Values

ValueCountFrequency (%)
2 9
31.0%
3 8
27.6%
4 5
17.2%
5 4
13.8%
1 3
 
10.3%

Length

2023-12-10T15:55:11.670150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:11.768600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 9
31.0%
3 8
27.6%
4 5
17.2%
5 4
13.8%
1 3
 
10.3%

5.1
Categorical

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
1
10 
5
8 
4
5 
2
3 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row2
3rd row4
4th row1
5th row5

Common Values

ValueCountFrequency (%)
1 10
34.5%
5 8
27.6%
4 5
17.2%
2 3
 
10.3%
3 3
 
10.3%

Length

2023-12-10T15:55:11.884157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:55:11.989964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10
34.5%
5 8
27.6%
4 5
17.2%
2 3
 
10.3%
3 3
 
10.3%

Interactions

2023-12-10T15:55:07.721588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T15:55:12.077308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
INDEX0001122.12.21.1371.22.33.151.42.42.55.1
INDEX00011.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
11.0001.0000.1500.0000.0000.0000.0000.0000.0000.0000.2530.0000.0000.0000.0000.234
21.0000.1501.0000.0000.6070.0000.0000.0000.2910.0000.2030.5930.0000.0000.0000.166
2.11.0000.0000.0001.0000.0000.3370.2770.0000.2880.3940.0000.0000.2670.4380.0000.460
2.21.0000.0000.6070.0001.0000.0000.0000.0000.0000.0000.0000.2810.5800.0000.4690.000
1.11.0000.0000.0000.3370.0001.0000.6430.3150.0000.0000.1840.1520.1630.0000.0000.127
31.0000.0000.0000.2770.0000.6431.0000.0000.5010.1580.0000.2320.0000.0000.0000.000
71.0000.0000.0000.0000.0000.3150.0001.0000.0000.3160.2640.3020.0000.2630.4120.585
1.21.0000.0000.2910.2880.0000.0000.5010.0001.0000.1070.0000.0000.0000.0000.1460.325
2.31.0000.0000.0000.3940.0000.0000.1580.3160.1071.0000.0000.0000.2320.0000.1850.000
3.11.0000.2530.2030.0000.0000.1840.0000.2640.0000.0001.0000.0000.5000.5600.0000.731
51.0000.0000.5930.0000.2810.1520.2320.3020.0000.0000.0001.0000.3040.1430.0000.392
1.41.0000.0000.0000.2670.5800.1630.0000.0000.0000.2320.5000.3041.0000.0000.1190.000
2.41.0000.0000.0000.4380.0000.0000.0000.2630.0000.0000.5600.1430.0001.0000.2790.000
2.51.0000.0000.0000.0000.4690.0000.0000.4120.1460.1850.0000.0000.1190.2791.0000.000
5.11.0000.2340.1660.4600.0000.1270.0000.5850.3250.0000.7310.3920.0000.0000.0001.000
2023-12-10T15:55:12.245870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
252.35.111.22.21.132.42.11.43.12.5
21.0000.2470.0000.0000.1580.2250.2550.0000.0000.0000.0000.0000.0140.000
50.2471.0000.0000.1360.0000.0000.0770.1600.1730.0000.0000.0900.0000.000
2.30.0000.0001.0000.0000.0000.0430.0000.0000.1030.0000.1370.0460.0000.000
5.10.0000.1360.0001.0000.2610.2550.0000.1280.0000.0000.1710.0000.3490.000
10.1580.0000.0000.2611.0000.0000.0000.0000.0000.0000.0000.0000.2840.000
1.20.2250.0000.0430.2550.0001.0000.0000.0000.2040.0000.2220.0000.0000.091
2.20.2550.0770.0000.0000.0000.0001.0000.0000.0000.0000.0000.2380.0000.175
1.10.0000.1600.0000.1280.0000.0000.0001.0000.4280.0000.3830.1740.2010.000
30.0000.1730.1030.0000.0000.2040.0000.4281.0000.0000.2130.0000.0000.000
2.40.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.1590.0000.2260.076
2.10.0000.0000.1370.1710.0000.2220.0000.3830.2130.1591.0000.0690.0000.000
1.40.0000.0900.0460.0000.0000.0000.2380.1740.0000.0000.0691.0000.1920.000
3.10.0140.0000.0000.3490.2840.0000.0000.2010.0000.2260.0000.1921.0000.000
2.50.0000.0000.0000.0000.0000.0910.1750.0000.0000.0760.0000.0000.0001.000
2023-12-10T15:55:12.383119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
7122.12.21.131.22.33.151.42.42.55.1
71.0000.0000.0000.0000.0000.1880.0000.0000.1590.1190.1480.0000.1180.2310.372
10.0001.0000.1580.0000.0000.0000.0000.0000.0000.2840.0000.0000.0000.0000.261
20.0000.1581.0000.0000.2550.0000.0000.2250.0000.0140.2470.0000.0000.0000.000
2.10.0000.0000.0001.0000.0000.3830.2130.2220.1370.0000.0000.0690.1590.0000.171
2.20.0000.0000.2550.0001.0000.0000.0000.0000.0000.0000.0770.2380.0000.1750.000
1.10.1880.0000.0000.3830.0001.0000.4280.0000.0000.2010.1600.1740.0000.0000.128
30.0000.0000.0000.2130.0000.4281.0000.2040.1030.0000.1730.0000.0000.0000.000
1.20.0000.0000.2250.2220.0000.0000.2041.0000.0430.0000.0000.0000.0000.0910.255
2.30.1590.0000.0000.1370.0000.0000.1030.0431.0000.0000.0000.0460.0000.0000.000
3.10.1190.2840.0140.0000.0000.2010.0000.0000.0001.0000.0000.1920.2260.0000.349
50.1480.0000.2470.0000.0770.1600.1730.0000.0000.0001.0000.0900.0000.0000.136
1.40.0000.0000.0000.0690.2380.1740.0000.0000.0460.1920.0901.0000.0000.0000.000
2.40.1180.0000.0000.1590.0000.0000.0000.0000.0000.2260.0000.0001.0000.0760.000
2.50.2310.0000.0000.0000.1750.0000.0000.0910.0000.0000.0000.0000.0761.0000.000
5.10.3720.2610.0000.1710.0000.1280.0000.2550.0000.3490.1360.0000.0000.0001.000

Missing values

2023-12-10T15:55:07.951053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T15:55:08.167064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

INDEX0001122.12.21.1371.21.32.33.151.42.42.55.1
0INDEX00021512141113213445
1INDEX00031111137311245412
2INDEX00042514126114154344
3INDEX00052512135215411231
4INDEX00062133124113235455
5INDEX00072141132314435341
6INDEX00081531245114342522
7INDEX00091543134413113535
8INDEX00102513131214534424
9INDEX00112131112214425224
INDEX0001122.12.21.1371.21.32.33.151.42.42.55.1
19INDEX00211553112111434251
20INDEX00221431111114155421
21INDEX00232112116211533534
22INDEX00242214144311511423
23INDEX00252141135214234125
24INDEX00262215123313554521
25INDEX00271422124314141345
26INDEX00281225136414133132
27INDEX00291411115415554335
28INDEX00302244148411415115