Overview

Dataset statistics

Number of variables12
Number of observations192
Missing cells608
Missing cells (%)26.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory96.7 B

Variable types

Unsupported12

Dataset

Description영월군 인구 및 세대현황
Author강원도 영월군
URLhttps://www.data.go.kr/data/3073484/fileData.do

Alerts

단위 : 세대, 명 has 4 (2.1%) missing valuesMissing
Unnamed: 2 has 4 (2.1%) missing valuesMissing
Unnamed: 3 has 3 (1.6%) missing valuesMissing
Unnamed: 4 has 3 (1.6%) missing valuesMissing
Unnamed: 5 has 3 (1.6%) missing valuesMissing
Unnamed: 6 has 4 (2.1%) missing valuesMissing
Unnamed: 7 has 4 (2.1%) missing valuesMissing
Unnamed: 8 has 41 (21.4%) missing valuesMissing
Unnamed: 9 has 182 (94.8%) missing valuesMissing
Unnamed: 10 has 181 (94.3%) missing valuesMissing
Unnamed: 11 has 178 (92.7%) missing valuesMissing
단위 : 세대, 명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 1 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
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 9 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 17:18:16.324740
Analysis finished2023-12-12 17:18:17.179539
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단위 : 세대, 명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4
Missing (%)2.1%
Memory size1.6 KiB

Unnamed: 1
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.5%
Memory size1.6 KiB

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4
Missing (%)2.1%
Memory size1.6 KiB

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.6%
Memory size1.6 KiB

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.6%
Memory size1.6 KiB

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3
Missing (%)1.6%
Memory size1.6 KiB

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4
Missing (%)2.1%
Memory size1.6 KiB

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4
Missing (%)2.1%
Memory size1.6 KiB

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)21.4%
Memory size1.6 KiB

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing182
Missing (%)94.8%
Memory size1.6 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing181
Missing (%)94.3%
Memory size1.6 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing178
Missing (%)92.7%
Memory size1.6 KiB

Missing values

2023-12-13T02:18:16.418941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:18:16.581469image/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.
2023-12-13T02:18:17.035089image/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

단위 : 세대, 명Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
0NaN총 계 TotalNaNNaNNaN한 국 인 KoreanNaNNaN외국인 ForeignerNaNNaN65세이상
1통리별세대 1)인구 PopulationNaNNaN인구NaNNaN인구NaNNaN고령자
2NaNNo. ofNaN남여NaN남여NaN남여Person 65
3NaNhouseholdsNaNMaleFemaleNaNNaNNaNNaNNaNNaNyears old and over
42008175294047520522199534020120422197792741001748333
5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
6영월읍880622001110611094021865110111085413650863315
7영흥1리1724462322144462322140NaNNaNNaN
8영흥2리1253051531523051531520NaNNaNNaN
9영흥3리1573811921893811921890NaNNaNNaN
단위 : 세대, 명Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11
182무릉3리1012061051012061051010NaNNaNNaN
183법흥1리52111565511156551NaNNaNNaN
184법흥2리11320711988207119884NaNNaNNaN
185도원1리63129666312966630NaNNaNNaN
186도원2리274120214120210NaNNaNNaN
187운학1리94161788316178831NaNNaNNaN
188운학2리68100554510055450NaNNaNNaN
189운학3리406839296839290NaNNaNNaN
190두산1리98186998718699870NaNNaNNaN
191두산2리558539468539460NaNNaNNaN