Overview

Dataset statistics

Number of variables5
Number of observations29
Missing cells54
Missing cells (%)37.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory45.6 B

Variable types

Unsupported5

Dataset

Description대전광역시 하수처리장 부지경계선(문지1,문지2,침사지) 복합악취 2018년부터 2022년까지 대전보건환경연구원에서 측정한 분기별 측정결과 데이터 분석결과 입니다.
URLhttps://www.data.go.kr/data/15112755/fileData.do

Alerts

Unnamed: 0 has 29 (100.0%) missing valuesMissing
대전하수처리장 복합악취 측정결과(보건환경연구원) has 6 (20.7%) missing valuesMissing
Unnamed: 2 has 5 (17.2%) missing valuesMissing
Unnamed: 3 has 7 (24.1%) missing valuesMissing
Unnamed: 4 has 7 (24.1%) missing valuesMissing
Unnamed: 0 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대전하수처리장 복합악취 측정결과(보건환경연구원) 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 started2023-12-12 09:54:48.238894
Analysis finished2023-12-12 09:54:48.663904
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B
Missing6
Missing (%)20.7%
Memory size364.0 B

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5
Missing (%)17.2%
Memory size364.0 B

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7
Missing (%)24.1%
Memory size364.0 B

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7
Missing (%)24.1%
Memory size364.0 B

Missing values

2023-12-12T18:54:48.302247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:54:48.430432image/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.
2023-12-12T18:54:48.583397image/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

Unnamed: 0대전하수처리장 복합악취 측정결과(보건환경연구원)Unnamed: 2Unnamed: 3Unnamed: 4
0<NA>NaNNaNNaNNaN
1<NA>측 정 일대전처리장NaNNaN
2<NA>NaN부지경계선NaNNaN
3<NA>NaN문지1문지2침사지
4<NA>2018-03-14 00:00:00443
5<NA>2018-06-14 00:00:004511
6<NA>2018-09-21 00:00:00111010
7<NA>2018-12-12 00:00:00555
8<NA>2019-03-19 00:00:00886
9<NA>2019-06-20 00:00:00554
Unnamed: 0대전하수처리장 복합악취 측정결과(보건환경연구원)Unnamed: 2Unnamed: 3Unnamed: 4
19<NA>2021-11-15 00:00:00344
20<NA>2022-03-21 00:00:00455
21<NA>2022-06-16 00:00:00545
22<NA>2022-08-18 00:00:00556
23<NA>2022-11-11 00:00:00455
24<NA>NaNNaNNaNNaN
25<NA>NaNNaNNaNNaN
26<NA>NaNNaNNaNNaN
27<NA>평 균5.255.455.15
28<NA>비 고NaNNaNNaN