Overview

Dataset statistics

Number of variables8
Number of observations45
Missing cells15
Missing cells (%)4.2%
Duplicate rows2
Duplicate rows (%)4.4%
Total size in memory2.9 KiB
Average record size in memory66.9 B

Variable types

Unsupported1
Categorical7

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-13252/F/1/datasetView.do

Alerts

Dataset has 2 (4.4%) duplicate rowsDuplicates
Unnamed: 5 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 4 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 1 is highly overall correlated with Unnamed: 2 and 5 other fieldsHigh correlation
Unnamed: 6 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 3 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 7 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
Unnamed: 2 is highly overall correlated with Unnamed: 1 and 5 other fieldsHigh correlation
대여소 검색_[(입력)란에 대여소 번호 입력해서 사용하세요!] has 15 (33.3%) missing valuesMissing
대여소 검색_[(입력)란에 대여소 번호 입력해서 사용하세요!] is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-04-17 20:54:24.114548
Analysis finished2024-04-17 20:54:24.636179
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대여소 검색_[(입력)란에 대여소 번호 입력해서 사용하세요!]
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing15
Missing (%)33.3%
Memory size492.0 B

Unnamed: 1
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
대여소명
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row대여소명
3rd row<NA>
4th row<NA>
5th row대여소명

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
대여소명 15
33.3%

Length

2024-04-18T05:54:24.687873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:24.761639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
대여소명 15
33.3%

Unnamed: 2
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
자치구
15 

Length

Max length4
Median length4
Mean length3.6666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row자치구
3rd row<NA>
4th row<NA>
5th row자치구

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
자치구 15
33.3%

Length

2024-04-18T05:54:24.857729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:24.939294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
자치구 15
33.3%

Unnamed: 3
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
주소
15 

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row주소
3rd row<NA>
4th row<NA>
5th row주소

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
주소 15
33.3%

Length

2024-04-18T05:54:25.028299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:25.141342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
주소 15
33.3%

Unnamed: 4
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
거치대수
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row거치대수
3rd row<NA>
4th row<NA>
5th row거치대수

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
거치대수 15
33.3%

Length

2024-04-18T05:54:25.225107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:25.302115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
거치대수 15
33.3%

Unnamed: 5
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
방식
15 

Length

Max length4
Median length4
Mean length3.3333333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row방식
3rd row<NA>
4th row<NA>
5th row방식

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
방식 15
33.3%

Length

2024-04-18T05:54:25.390277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:25.478099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
방식 15
33.3%

Unnamed: 6
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
운영여부
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row운영여부
3rd row<NA>
4th row<NA>
5th row운영여부

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
운영여부 15
33.3%

Length

2024-04-18T05:54:25.558473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:25.649709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
운영여부 15
33.3%

Unnamed: 7
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
<NA>
30 
설치시기
15 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row설치시기
3rd row<NA>
4th row<NA>
5th row설치시기

Common Values

ValueCountFrequency (%)
<NA> 30
66.7%
설치시기 15
33.3%

Length

2024-04-18T05:54:25.738303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T05:54:25.812597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
66.7%
설치시기 15
33.3%

Correlations

2024-04-18T05:54:25.868423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 5Unnamed: 4Unnamed: 1Unnamed: 6Unnamed: 3Unnamed: 7Unnamed: 2
Unnamed: 51.0001.0001.0001.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.0001.0001.0001.000
Unnamed: 11.0001.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.0001.000
2024-04-18T05:54:25.954207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
Unnamed: 11.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0001.0001.0001.000
Unnamed: 41.0001.0001.0001.0001.0001.0001.000
Unnamed: 51.0001.0001.0001.0001.0001.0001.000
Unnamed: 61.0001.0001.0001.0001.0001.0001.000
Unnamed: 71.0001.0001.0001.0001.0001.0001.000

Missing values

2024-04-18T05:54:24.592317image/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

대여소 검색_[(입력)란에 대여소 번호 입력해서 사용하세요!]Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
0NaN<NA><NA><NA><NA><NA><NA><NA>
1대여소번호(입력)대여소명자치구주소거치대수방식운영여부설치시기
23762<NA><NA><NA><NA><NA><NA><NA>
3NaN<NA><NA><NA><NA><NA><NA><NA>
4대여소번호(입력)대여소명자치구주소거치대수방식운영여부설치시기
51397<NA><NA><NA><NA><NA><NA><NA>
6NaN<NA><NA><NA><NA><NA><NA><NA>
7대여소번호(입력)대여소명자치구주소거치대수방식운영여부설치시기
8234<NA><NA><NA><NA><NA><NA><NA>
9NaN<NA><NA><NA><NA><NA><NA><NA>
대여소 검색_[(입력)란에 대여소 번호 입력해서 사용하세요!]Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
354496<NA><NA><NA><NA><NA><NA><NA>
36NaN<NA><NA><NA><NA><NA><NA><NA>
37대여소번호(입력)대여소명자치구주소거치대수방식운영여부설치시기
384497<NA><NA><NA><NA><NA><NA><NA>
39NaN<NA><NA><NA><NA><NA><NA><NA>
40대여소번호(입력)대여소명자치구주소거치대수방식운영여부설치시기
414498<NA><NA><NA><NA><NA><NA><NA>
42NaN<NA><NA><NA><NA><NA><NA><NA>
43대여소번호(입력)대여소명자치구주소거치대수방식운영여부설치시기
444499<NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7# duplicates
1<NA><NA><NA><NA><NA><NA><NA>30
0대여소명자치구주소거치대수방식운영여부설치시기15