Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory45.3 B

Variable types

Text1
Categorical4

Dataset

DescriptionSample
Author제타럭스시스템
URLhttps://bigdata-geo.kr/user/dataset/view.do?data_sn=503

Alerts

PUL_GRAD has constant value ""Constant
LIFE_INFRA has constant value ""Constant
CMPTT_GRAD has constant value ""Constant
TOTL_GRAD has constant value ""Constant
GRID_NO has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:21:53.612363
Analysis finished2023-12-10 13:21:54.006485
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

GRID_NO
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-10T22:21:54.434254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1000
Distinct characters11
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row마마57aa60aa
2nd row마마57aa60ab
3rd row마마57ab59ba
4th row마마57ab59bb
5th row마마57ab60aa
ValueCountFrequency (%)
마마57aa60aa 1
 
1.0%
마마58bb61ab 1
 
1.0%
마마59aa61ab 1
 
1.0%
마마59aa61aa 1
 
1.0%
마마59aa60bb 1
 
1.0%
마마59aa60ba 1
 
1.0%
마마59aa60ab 1
 
1.0%
마마59aa60aa 1
 
1.0%
마마58bb62ba 1
 
1.0%
마마58bb62ab 1
 
1.0%
Other values (90) 90
90.0%
2023-12-10T22:21:55.175992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 207
20.7%
마 200
20.0%
b 193
19.3%
5 105
10.5%
6 95
9.5%
0 43
 
4.3%
8 42
 
4.2%
9 37
 
3.7%
1 33
 
3.3%
7 26
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 400
40.0%
Decimal Number 400
40.0%
Other Letter 200
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 105
26.2%
6 95
23.8%
0 43
10.8%
8 42
 
10.5%
9 37
 
9.2%
1 33
 
8.2%
7 26
 
6.5%
2 19
 
4.8%
Lowercase Letter
ValueCountFrequency (%)
a 207
51.7%
b 193
48.2%
Other Letter
ValueCountFrequency (%)
마 200
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 400
40.0%
Common 400
40.0%
Hangul 200
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 105
26.2%
6 95
23.8%
0 43
10.8%
8 42
 
10.5%
9 37
 
9.2%
1 33
 
8.2%
7 26
 
6.5%
2 19
 
4.8%
Latin
ValueCountFrequency (%)
a 207
51.7%
b 193
48.2%
Hangul
ValueCountFrequency (%)
마 200
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 800
80.0%
Hangul 200
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 207
25.9%
b 193
24.1%
5 105
13.1%
6 95
11.9%
0 43
 
5.4%
8 42
 
5.2%
9 37
 
4.6%
1 33
 
4.1%
7 26
 
3.2%
2 19
 
2.4%
Hangul
ValueCountFrequency (%)
마 200
100.0%

PUL_GRAD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
1
100 

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 (%)
1 100
100.0%

Length

2023-12-10T22:21:55.564944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:21:55.754293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 100
100.0%

LIFE_INFRA
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
17
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17
2nd row17
3rd row17
4th row17
5th row17

Common Values

ValueCountFrequency (%)
17 100
100.0%

Length

2023-12-10T22:21:56.052554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:21:56.197580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17 100
100.0%

CMPTT_GRAD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
72
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row72
2nd row72
3rd row72
4th row72
5th row72

Common Values

ValueCountFrequency (%)
72 100
100.0%

Length

2023-12-10T22:21:56.406763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:21:56.624129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
72 100
100.0%

TOTL_GRAD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
34
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row34
2nd row34
3rd row34
4th row34
5th row34

Common Values

ValueCountFrequency (%)
34 100
100.0%

Length

2023-12-10T22:21:56.817412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:21:56.955009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
34 100
100.0%

Missing values

2023-12-10T22:21:53.752036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:21:53.942282image/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

GRID_NOPUL_GRADLIFE_INFRACMPTT_GRADTOTL_GRAD
0마마57aa60aa1177234
1마마57aa60ab1177234
2마마57ab59ba1177234
3마마57ab59bb1177234
4마마57ab60aa1177234
5마마57ab60ab1177234
6마마57ab60ba1177234
7마마57ba59ba1177234
8마마57ba59bb1177234
9마마57ba60aa1177234
GRID_NOPUL_GRADLIFE_INFRACMPTT_GRADTOTL_GRAD
90마마59ab62bb1177234
91마마59ba60aa1177234
92마마59ba60ab1177234
93마마59ba60ba1177234
94마마59ba60bb1177234
95마마59ba61aa1177234
96마마59ba61ab1177234
97마마59ba62ba1177234
98마마59bb60ab1177234
99마마59bb60ba1177234