Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells30
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory37.4 B

Variable types

Categorical2
Text1
Unsupported1

Dataset

Description샘플 데이터
Author경기콘텐츠진흥원
URLhttps://www.bigdata-region.kr/#/dataset/26e41468-55f1-4e17-8c4e-abb8dc0a2a46

Alerts

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

Reproduction

Analysis started2023-12-10 14:04:51.154816
Analysis finished2023-12-10 14:04:51.564268
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2015-01
30 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-01
2nd row2015-01
3rd row2015-01
4th row2015-01
5th row2015-01

Common Values

ValueCountFrequency (%)
2015-01 30
100.0%

Length

2023-12-10T23:04:51.674479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:51.818441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-01 30
100.0%

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

2023-12-10T23:04:51.995327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:04:52.138376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 30
100.0%

시군구명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:04:52.435048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7.5
Mean length4.7666667
Min length3

Characters and Unicode

Total characters143
Distinct characters52
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row남양주시
2nd row화성시
3rd row성남시 수정구
4th row과천시
5th row안산시 상록구
ValueCountFrequency (%)
고양시 3
 
7.1%
수원시 3
 
7.1%
성남시 2
 
4.8%
안산시 2
 
4.8%
용인시 2
 
4.8%
덕양구 1
 
2.4%
일산동구 1
 
2.4%
의정부시 1
 
2.4%
평택시 1
 
2.4%
하남시 1
 
2.4%
Other values (25) 25
59.5%
2023-12-10T23:04:52.999078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 30
21.0%
구 13
 
9.1%
12
 
8.4%
양 5
 
3.5%
수 5
 
3.5%
산 5
 
3.5%
남 4
 
2.8%
천 4
 
2.8%
원 4
 
2.8%
포 3
 
2.1%
Other values (42) 58
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
91.6%
Space Separator 12
 
8.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 30
22.9%
구 13
 
9.9%
양 5
 
3.8%
수 5
 
3.8%
산 5
 
3.8%
남 4
 
3.1%
천 4
 
3.1%
원 4
 
3.1%
포 3
 
2.3%
인 3
 
2.3%
Other values (41) 55
42.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
91.6%
Common 12
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 30
22.9%
구 13
 
9.9%
양 5
 
3.8%
수 5
 
3.8%
산 5
 
3.8%
남 4
 
3.1%
천 4
 
3.1%
원 4
 
3.1%
포 3
 
2.3%
인 3
 
2.3%
Other values (41) 55
42.0%
Common
ValueCountFrequency (%)
12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
91.6%
ASCII 12
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 30
22.9%
구 13
 
9.9%
양 5
 
3.8%
수 5
 
3.8%
산 5
 
3.8%
남 4
 
3.1%
천 4
 
3.1%
원 4
 
3.1%
포 3
 
2.3%
인 3
 
2.3%
Other values (41) 55
42.0%
ASCII
ValueCountFrequency (%)
12
100.0%

인구평균수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Missing values

2023-12-10T23:04:51.381182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:04:51.508822image/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

기준년월시도명시군구명인구평균수
02015-01경기도남양주시<NA>
12015-01경기도화성시<NA>
22015-01경기도성남시 수정구<NA>
32015-01경기도과천시<NA>
42015-01경기도안산시 상록구<NA>
52015-01경기도용인시 수지구<NA>
62015-01경기도파주시<NA>
72015-01경기도부천시<NA>
82015-01경기도수원시 영통구<NA>
92015-01경기도시흥시<NA>
기준년월시도명시군구명인구평균수
202015-01경기도평택시<NA>
212015-01경기도하남시<NA>
222015-01경기도고양시 일산서구<NA>
232015-01경기도광명시<NA>
242015-01경기도성남시 분당구<NA>
252015-01경기도안산시 단원구<NA>
262015-01경기도수원시 팔달구<NA>
272015-01경기도용인시 처인구<NA>
282015-01경기도구리시<NA>
292015-01경기도김포시<NA>