Overview

Dataset statistics

Number of variables5
Number of observations28
Missing cells4
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory44.7 B

Variable types

Unsupported4
Text1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21308/S/1/datasetView.do

Alerts

Unnamed: 1 has 1 (3.6%) missing valuesMissing
Unnamed: 2 has 1 (3.6%) missing valuesMissing
Unnamed: 3 has 1 (3.6%) missing valuesMissing
Unnamed: 4 has 1 (3.6%) missing valuesMissing
역세권청년주택 공공임대 공실률 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 4 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 06:46:55.208939
Analysis finished2023-12-11 06:46:55.594262
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역세권청년주택 공공임대 공실률 현황
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size356.0 B

Unnamed: 1
Text

MISSING 

Distinct27
Distinct (%)100.0%
Missing1
Missing (%)3.6%
Memory size356.0 B
2023-12-11T15:46:55.760754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length13.222222
Min length5

Characters and Unicode

Total characters357
Distinct characters68
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row사업대상지
2nd row광진구 구의동 587-64
3rd row서대문구 충정로3가 72-1
4th row성동구 용답동 233-1
5th row마포구 서교동 395-43
ValueCountFrequency (%)
강서구 6
 
7.6%
화곡동 3
 
3.8%
마포구 2
 
2.5%
쌍문동 2
 
2.5%
구의동 2
 
2.5%
용산구 2
 
2.5%
광진구 2
 
2.5%
중랑구 2
 
2.5%
도봉구 2
 
2.5%
등촌동 2
 
2.5%
Other values (54) 54
68.4%
2023-12-11T15:46:56.139050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52
 
14.6%
구 28
 
7.8%
동 27
 
7.6%
1 27
 
7.6%
- 24
 
6.7%
3 15
 
4.2%
2 13
 
3.6%
0 12
 
3.4%
7 12
 
3.4%
5 11
 
3.1%
Other values (58) 136
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 167
46.8%
Decimal Number 114
31.9%
Space Separator 52
 
14.6%
Dash Punctuation 24
 
6.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 28
 
16.8%
동 27
 
16.2%
서 10
 
6.0%
강 9
 
5.4%
포 4
 
2.4%
문 4
 
2.4%
도 3
 
1.8%
화 3
 
1.8%
곡 3
 
1.8%
마 3
 
1.8%
Other values (46) 73
43.7%
Decimal Number
ValueCountFrequency (%)
1 27
23.7%
3 15
13.2%
2 13
11.4%
0 12
10.5%
7 12
10.5%
5 11
9.6%
4 8
 
7.0%
9 6
 
5.3%
6 6
 
5.3%
8 4
 
3.5%
Space Separator
ValueCountFrequency (%)
52
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 190
53.2%
Hangul 167
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 28
 
16.8%
동 27
 
16.2%
서 10
 
6.0%
강 9
 
5.4%
포 4
 
2.4%
문 4
 
2.4%
도 3
 
1.8%
화 3
 
1.8%
곡 3
 
1.8%
마 3
 
1.8%
Other values (46) 73
43.7%
Common
ValueCountFrequency (%)
52
27.4%
1 27
14.2%
- 24
12.6%
3 15
 
7.9%
2 13
 
6.8%
0 12
 
6.3%
7 12
 
6.3%
5 11
 
5.8%
4 8
 
4.2%
9 6
 
3.2%
Other values (2) 10
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 190
53.2%
Hangul 167
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
52
27.4%
1 27
14.2%
- 24
12.6%
3 15
 
7.9%
2 13
 
6.8%
0 12
 
6.3%
7 12
 
6.3%
5 11
 
5.8%
4 8
 
4.2%
9 6
 
3.2%
Other values (2) 10
 
5.3%
Hangul
ValueCountFrequency (%)
구 28
 
16.8%
동 27
 
16.2%
서 10
 
6.0%
강 9
 
5.4%
포 4
 
2.4%
문 4
 
2.4%
도 3
 
1.8%
화 3
 
1.8%
곡 3
 
1.8%
마 3
 
1.8%
Other values (46) 73
43.7%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.6%
Memory size356.0 B

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.6%
Memory size356.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1
Missing (%)3.6%
Memory size356.0 B

Missing values

2023-12-11T15:46:55.314646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T15:46:55.426442image/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.
2023-12-11T15:46:55.540545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

역세권청년주택 공공임대 공실률 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
0(2022.9월 기준)<NA>NaNNaNNaN
1연번사업대상지공공임대 공급호수공실공실률
21광진구 구의동 587-641500
32서대문구 충정로3가 72-14900
43성동구 용답동 233-12200
54마포구 서교동 395-4316220.012346
65강서구 등촌동 648-51900
76동작구 노량진동 37-13700
87강서구 염창동 274-174910.020408
98강서구 화곡동 401-1900
역세권청년주택 공공임대 공실률 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4
1817강서구 등촌동 671-15390.169811
1918영등포구 도림동 250-201820.111111
2019중랑구 묵동 176-392400
2120광진구 구의동 593-112800
2221노원구 공릉동 617-37520.026667
2322도봉구 쌍문동 103-67000
2423도봉구 쌍문동 507-14800
2524강남구 논현동 202-78600
2625용산구 원효로 1가 10428710.003484
2726강서구 화곡동 1073-111500