Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells120
Missing cells (%)50.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory72.4 B

Variable types

Categorical2
Text2
Unsupported4

Dataset

Description대전광역시 2020년 여성긴급전화 1366대전센터 운영현황입니다. 2022년 공공데이터 기업매칭지원사업으로 수행되었습니다
Author대전광역시
URLhttps://www.data.go.kr/data/15111019/fileData.do

Alerts

시도 has constant value ""Constant
Unnamed: 4 has 30 (100.0%) missing valuesMissing
Unnamed: 5 has 30 (100.0%) missing valuesMissing
Unnamed: 6 has 30 (100.0%) missing valuesMissing
Unnamed: 7 has 30 (100.0%) missing valuesMissing
구분2 has unique valuesUnique
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

Reproduction

Analysis started2024-04-22 00:34:33.078556
Analysis finished2024-04-22 00:34:33.386047
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
대전광역시
30 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시
2nd row대전광역시
3rd row대전광역시
4th row대전광역시
5th row대전광역시

Common Values

ValueCountFrequency (%)
대전광역시 30
100.0%

Length

2024-04-22T09:34:33.452591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:34:33.549539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 30
100.0%

구분
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
추진실적
18 
운영 현황
12 

Length

Max length5
Median length4
Mean length4.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영 현황
2nd row운영 현황
3rd row운영 현황
4th row운영 현황
5th row운영 현황

Common Values

ValueCountFrequency (%)
추진실적 18
60.0%
운영 현황 12
40.0%

Length

2024-04-22T09:34:33.641882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-22T09:34:33.739949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추진실적 18
42.9%
운영 12
28.6%
현황 12
28.6%

구분2
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-22T09:34:33.908729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7.5
Mean length4.2
Min length2

Characters and Unicode

Total characters126
Distinct characters65
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 row센터명
2nd row센터장_성명
3rd row위탁기간
4th row주소
5th row전화
ValueCountFrequency (%)
센터명 1
 
3.3%
센터장_성명 1
 
3.3%
귀가 1
 
3.3%
긴급피난처 1
 
3.3%
행정기관 1
 
3.3%
경찰 1
 
3.3%
법률기관 1
 
3.3%
의료기관 1
 
3.3%
전문기관상담 1
 
3.3%
보호시설 1
 
3.3%
Other values (20) 20
66.7%
2024-04-22T09:34:34.231360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 6
 
4.8%
_ 6
 
4.8%
기 6
 
4.8%
관 4
 
3.2%
장 4
 
3.2%
성 4
 
3.2%
원 4
 
3.2%
담 4
 
3.2%
상 4
 
3.2%
센 3
 
2.4%
Other values (55) 81
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
95.2%
Connector Punctuation 6
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6
 
5.0%
기 6
 
5.0%
관 4
 
3.3%
장 4
 
3.3%
성 4
 
3.3%
원 4
 
3.3%
담 4
 
3.3%
상 4
 
3.3%
센 3
 
2.5%
력 3
 
2.5%
Other values (54) 78
65.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
95.2%
Common 6
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6
 
5.0%
기 6
 
5.0%
관 4
 
3.3%
장 4
 
3.3%
성 4
 
3.3%
원 4
 
3.3%
담 4
 
3.3%
상 4
 
3.3%
센 3
 
2.5%
력 3
 
2.5%
Other values (54) 78
65.0%
Common
ValueCountFrequency (%)
_ 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
95.2%
ASCII 6
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 6
 
5.0%
기 6
 
5.0%
관 4
 
3.3%
장 4
 
3.3%
성 4
 
3.3%
원 4
 
3.3%
담 4
 
3.3%
상 4
 
3.3%
센 3
 
2.5%
력 3
 
2.5%
Other values (54) 78
65.0%
ASCII
ValueCountFrequency (%)
_ 6
100.0%

설명
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-04-22T09:34:34.401712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length4.5
Min length1

Characters and Unicode

Total characters135
Distinct characters38
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st row여성긴급전화 1366대전센터
2nd row정현주
3rd row2018.04.15~2021.04.15.(3년)
4th row대전광역시 중구 대흥로 128
5th row042)222-7042
ValueCountFrequency (%)
1 2
 
5.9%
3 2
 
5.9%
4 2
 
5.9%
2284 1
 
2.9%
1366대전센터 1
 
2.9%
여성긴급전화 1
 
2.9%
231 1
 
2.9%
6 1
 
2.9%
424 1
 
2.9%
196 1
 
2.9%
Other values (21) 21
61.8%
2024-04-22T09:34:34.691180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 16
 
11.9%
1 15
 
11.1%
8 12
 
8.9%
4 9
 
6.7%
3 9
 
6.7%
0 9
 
6.7%
6 8
 
5.9%
7 6
 
4.4%
9 6
 
4.4%
. 5
 
3.7%
Other values (28) 40
29.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95
70.4%
Other Letter 26
 
19.3%
Other Punctuation 5
 
3.7%
Space Separator 4
 
3.0%
Close Punctuation 2
 
1.5%
Math Symbol 1
 
0.7%
Dash Punctuation 1
 
0.7%
Open Punctuation 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 3
 
11.5%
전 3
 
11.5%
년 1
 
3.8%
센 1
 
3.8%
화 1
 
3.8%
급 1
 
3.8%
긴 1
 
3.8%
성 1
 
3.8%
여 1
 
3.8%
주 1
 
3.8%
Other values (12) 12
46.2%
Decimal Number
ValueCountFrequency (%)
2 16
16.8%
1 15
15.8%
8 12
12.6%
4 9
9.5%
3 9
9.5%
0 9
9.5%
6 8
8.4%
7 6
 
6.3%
9 6
 
6.3%
5 5
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109
80.7%
Hangul 26
 
19.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 3
 
11.5%
전 3
 
11.5%
년 1
 
3.8%
센 1
 
3.8%
화 1
 
3.8%
급 1
 
3.8%
긴 1
 
3.8%
성 1
 
3.8%
여 1
 
3.8%
주 1
 
3.8%
Other values (12) 12
46.2%
Common
ValueCountFrequency (%)
2 16
14.7%
1 15
13.8%
8 12
11.0%
4 9
8.3%
3 9
8.3%
0 9
8.3%
6 8
7.3%
7 6
 
5.5%
9 6
 
5.5%
. 5
 
4.6%
Other values (6) 14
12.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109
80.7%
Hangul 26
 
19.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 16
14.7%
1 15
13.8%
8 12
11.0%
4 9
8.3%
3 9
8.3%
0 9
8.3%
6 8
7.3%
7 6
 
5.5%
9 6
 
5.5%
. 5
 
4.6%
Other values (6) 14
12.8%
Hangul
ValueCountFrequency (%)
대 3
 
11.5%
전 3
 
11.5%
년 1
 
3.8%
센 1
 
3.8%
화 1
 
3.8%
급 1
 
3.8%
긴 1
 
3.8%
성 1
 
3.8%
여 1
 
3.8%
주 1
 
3.8%
Other values (12) 12
46.2%

Unnamed: 4
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

Correlations

2024-04-22T09:34:34.797354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분구분2설명
구분1.0001.0000.778
구분21.0001.0001.000
설명0.7781.0001.000

Missing values

2024-04-22T09:34:33.233834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T09:34:33.341460image/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

시도구분구분2설명Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
0대전광역시운영 현황센터명여성긴급전화 1366대전센터<NA><NA><NA><NA>
1대전광역시운영 현황센터장_성명정현주<NA><NA><NA><NA>
2대전광역시운영 현황위탁기간2018.04.15~2021.04.15.(3년)<NA><NA><NA><NA>
3대전광역시운영 현황주소대전광역시 중구 대흥로 128<NA><NA><NA><NA>
4대전광역시운영 현황전화042)222-7042<NA><NA><NA><NA>
5대전광역시운영 현황지정_위탁_여부위탁<NA><NA><NA><NA>
6대전광역시운영 현황센터장1<NA><NA><NA><NA>
7대전광역시운영 현황팀장3<NA><NA><NA><NA>
8대전광역시운영 현황회계행정1<NA><NA><NA><NA>
9대전광역시운영 현황전문상담원5<NA><NA><NA><NA>
시도구분구분2설명Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7
20대전광역시추진실적이주지원4<NA><NA><NA><NA>
21대전광역시추진실적보호시설676<NA><NA><NA><NA>
22대전광역시추진실적전문기관상담12078<NA><NA><NA><NA>
23대전광역시추진실적의료기관312<NA><NA><NA><NA>
24대전광역시추진실적법률기관673<NA><NA><NA><NA>
25대전광역시추진실적경찰1888<NA><NA><NA><NA>
26대전광역시추진실적행정기관196<NA><NA><NA><NA>
27대전광역시추진실적긴급피난처424<NA><NA><NA><NA>
28대전광역시추진실적귀가6<NA><NA><NA><NA>
29대전광역시추진실적기타3892<NA><NA><NA><NA>