Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells120
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory72.4 B

Variable types

Categorical4
Unsupported4

Dataset

Description샘플 데이터
Author경기콘텐츠진흥원
URLhttps://www.bigdata-region.kr/#/dataset/44cebbb2-ab60-40a3-b78b-47ef0f498c2f

Alerts

시도명 has constant value ""Constant
시군구명 has 30 (100.0%) missing valuesMissing
유입시도명 has 30 (100.0%) missing valuesMissing
유입시군구명 has 30 (100.0%) missing valuesMissing
인구평균수 has 30 (100.0%) missing valuesMissing
시군구명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유입시도명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
유입시군구명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
인구평균수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 14:22:31.672184
Analysis finished2023-12-10 14:22:32.046056
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2017-01
14 
2017-02
14 
2017-03
2 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-01
2nd row2017-01
3rd row2017-01
4th row2017-01
5th row2017-01

Common Values

ValueCountFrequency (%)
2017-01 14
46.7%
2017-02 14
46.7%
2017-03 2
 
6.7%

Length

2023-12-10T23:22:32.146985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:32.262205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-01 14
46.7%
2017-02 14
46.7%
2017-03 2
 
6.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
경기도
30 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 30
100.0%

Length

2023-12-10T23:22:32.382380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:32.488349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 30
100.0%

시군구명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

유입시도명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

유입시군구명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

성별코드
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
M
15 
F
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowM
2nd rowM
3rd rowF
4th rowF
5th rowM

Common Values

ValueCountFrequency (%)
M 15
50.0%
F 15
50.0%

Length

2023-12-10T23:22:32.589071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:32.694485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
m 15
50.0%
f 15
50.0%

연령대코드
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
40
5 
20
5 
10
4 
30
4 
50
4 
Other values (2)
8 

Length

Max length3
Median length2
Mean length2.2666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row40
2nd row10
3rd row40
4th row30
5th row20

Common Values

ValueCountFrequency (%)
40 5
16.7%
20 5
16.7%
10 4
13.3%
30 4
13.3%
50 4
13.3%
60+ 4
13.3%
10- 4
13.3%

Length

2023-12-10T23:22:32.795585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:32.904697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 8
26.7%
40 5
16.7%
20 5
16.7%
30 4
13.3%
50 4
13.3%
60 4
13.3%

인구평균수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)100.0%
Memory size402.0 B

Correlations

2023-12-10T23:22:32.986274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월성별코드연령대코드
기준년월1.0000.0000.000
성별코드0.0001.0000.000
연령대코드0.0000.0001.000
2023-12-10T23:22:33.070204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별코드기준년월연령대코드
성별코드1.0000.0000.000
기준년월0.0001.0000.000
연령대코드0.0000.0001.000
2023-12-10T23:22:33.151151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준년월성별코드연령대코드
기준년월1.0000.0000.000
성별코드0.0001.0000.000
연령대코드0.0000.0001.000

Missing values

2023-12-10T23:22:31.853534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:22:31.983179image/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

기준년월시도명시군구명유입시도명유입시군구명성별코드연령대코드인구평균수
02017-01경기도<NA><NA><NA>M40<NA>
12017-01경기도<NA><NA><NA>M10<NA>
22017-01경기도<NA><NA><NA>F40<NA>
32017-01경기도<NA><NA><NA>F30<NA>
42017-01경기도<NA><NA><NA>M20<NA>
52017-01경기도<NA><NA><NA>F50<NA>
62017-01경기도<NA><NA><NA>M60+<NA>
72017-01경기도<NA><NA><NA>F10-<NA>
82017-01경기도<NA><NA><NA>F60+<NA>
92017-01경기도<NA><NA><NA>F20<NA>
기준년월시도명시군구명유입시도명유입시군구명성별코드연령대코드인구평균수
202017-02경기도<NA><NA><NA>F60+<NA>
212017-02경기도<NA><NA><NA>F30<NA>
222017-02경기도<NA><NA><NA>M30<NA>
232017-02경기도<NA><NA><NA>F50<NA>
242017-02경기도<NA><NA><NA>M10-<NA>
252017-02경기도<NA><NA><NA>M40<NA>
262017-02경기도<NA><NA><NA>F40<NA>
272017-02경기도<NA><NA><NA>F20<NA>
282017-03경기도<NA><NA><NA>F40<NA>
292017-03경기도<NA><NA><NA>M20<NA>