Overview

Dataset statistics

Number of variables3
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory948.0 B
Average record size in memory27.9 B

Variable types

Text3

Dataset

Description대구광역시_여성단체협의회 현황_20210810
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15052609&dataSetDetailId=150526091be0a226e5056_201905161939&provdMethod=FILE

Alerts

소 속 has unique valuesUnique
성 명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 19:26:19.490899
Analysis finished2023-12-10 19:26:21.210532
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소 속
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T04:26:21.427903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length14.617647
Min length6

Characters and Unicode

Total characters497
Distinct characters112
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row(사)대한어머니회 대구광역시연합회
2nd row한국자유총연맹 대구광역시여성협의회
3rd row(사)한중여성교류협회 대구광역시지회
4th row(사)고향생각주부모임 대구광역시지회
5th row(사)소비자교육중앙회 대구광역시지부
ValueCountFrequency (%)
대구광역시지부 3
 
5.7%
대구광역시지회 3
 
5.7%
대구광역시연합회 2
 
3.8%
사)대한치과위생사협회 1
 
1.9%
대구지부회 1
 
1.9%
사)한국여성유권자 1
 
1.9%
대구연맹 1
 
1.9%
사)한국부인회 1
 
1.9%
중구여성단체협의회 1
 
1.9%
신나는봉사대 1
 
1.9%
Other values (38) 38
71.7%
2023-12-11T04:26:22.022788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 43
 
8.7%
사 35
 
7.0%
대 31
 
6.2%
구 31
 
6.2%
20
 
4.0%
( 19
 
3.8%
) 19
 
3.8%
여 18
 
3.6%
협 17
 
3.4%
한 17
 
3.4%
Other values (102) 247
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 432
86.9%
Space Separator 20
 
4.0%
Open Punctuation 19
 
3.8%
Close Punctuation 19
 
3.8%
Decimal Number 4
 
0.8%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 43
 
10.0%
사 35
 
8.1%
대 31
 
7.2%
구 31
 
7.2%
여 18
 
4.2%
협 17
 
3.9%
한 17
 
3.9%
성 15
 
3.5%
시 15
 
3.5%
광 14
 
3.2%
Other values (94) 196
45.4%
Decimal Number
ValueCountFrequency (%)
0 2
50.0%
3 1
25.0%
7 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
86.9%
Common 65
 
13.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 43
 
10.0%
사 35
 
8.1%
대 31
 
7.2%
구 31
 
7.2%
여 18
 
4.2%
협 17
 
3.9%
한 17
 
3.9%
성 15
 
3.5%
시 15
 
3.5%
광 14
 
3.2%
Other values (94) 196
45.4%
Common
ValueCountFrequency (%)
20
30.8%
( 19
29.2%
) 19
29.2%
0 2
 
3.1%
· 2
 
3.1%
. 1
 
1.5%
3 1
 
1.5%
7 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 432
86.9%
ASCII 63
 
12.7%
None 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 43
 
10.0%
사 35
 
8.1%
대 31
 
7.2%
구 31
 
7.2%
여 18
 
4.2%
협 17
 
3.9%
한 17
 
3.9%
성 15
 
3.5%
시 15
 
3.5%
광 14
 
3.2%
Other values (94) 196
45.4%
ASCII
ValueCountFrequency (%)
20
31.7%
( 19
30.2%
) 19
30.2%
0 2
 
3.2%
. 1
 
1.6%
3 1
 
1.6%
7 1
 
1.6%
None
ValueCountFrequency (%)
· 2
100.0%

성 명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T04:26:22.364708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters102
Distinct characters58
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row하후남
2nd row구순천
3rd row이순란
4th row황혜선
5th row장혜경
ValueCountFrequency (%)
하후남 1
 
2.9%
구순천 1
 
2.9%
이나희 1
 
2.9%
유순남 1
 
2.9%
전말순 1
 
2.9%
이정순 1
 
2.9%
정정념 1
 
2.9%
이종선 1
 
2.9%
조용시 1
 
2.9%
이수연 1
 
2.9%
Other values (24) 24
70.6%
2023-12-11T04:26:22.878720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9
 
8.8%
이 7
 
6.9%
순 5
 
4.9%
경 4
 
3.9%
미 4
 
3.9%
숙 3
 
2.9%
남 3
 
2.9%
희 3
 
2.9%
선 3
 
2.9%
명 3
 
2.9%
Other values (48) 58
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 9
 
8.8%
이 7
 
6.9%
순 5
 
4.9%
경 4
 
3.9%
미 4
 
3.9%
숙 3
 
2.9%
남 3
 
2.9%
희 3
 
2.9%
선 3
 
2.9%
명 3
 
2.9%
Other values (48) 58
56.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 9
 
8.8%
이 7
 
6.9%
순 5
 
4.9%
경 4
 
3.9%
미 4
 
3.9%
숙 3
 
2.9%
남 3
 
2.9%
희 3
 
2.9%
선 3
 
2.9%
명 3
 
2.9%
Other values (48) 58
56.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9
 
8.8%
이 7
 
6.9%
순 5
 
4.9%
경 4
 
3.9%
미 4
 
3.9%
숙 3
 
2.9%
남 3
 
2.9%
희 3
 
2.9%
선 3
 
2.9%
명 3
 
2.9%
Other values (48) 58
56.9%

회원수
Text

Distinct29
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T04:26:23.200555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.3823529
Min length3

Characters and Unicode

Total characters149
Distinct characters11
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

Unique24 ?
Unique (%)70.6%

Sample

1st row550명
2nd row19882명
3rd row120명
4th row28890명
5th row1200명
ValueCountFrequency (%)
35명 2
 
5.9%
5000명 2
 
5.9%
100명 2
 
5.9%
1000명 2
 
5.9%
600명 2
 
5.9%
550명 1
 
2.9%
1600명 1
 
2.9%
200명 1
 
2.9%
400명 1
 
2.9%
337명 1
 
2.9%
Other values (19) 19
55.9%
2023-12-11T04:26:23.768713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
30.9%
명 34
22.8%
1 12
 
8.1%
5 10
 
6.7%
8 10
 
6.7%
2 9
 
6.0%
6 8
 
5.4%
3 7
 
4.7%
7 5
 
3.4%
4 5
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
77.2%
Other Letter 34
 
22.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
40.0%
1 12
 
10.4%
5 10
 
8.7%
8 10
 
8.7%
2 9
 
7.8%
6 8
 
7.0%
3 7
 
6.1%
7 5
 
4.3%
4 5
 
4.3%
9 3
 
2.6%
Other Letter
ValueCountFrequency (%)
명 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115
77.2%
Hangul 34
 
22.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
40.0%
1 12
 
10.4%
5 10
 
8.7%
8 10
 
8.7%
2 9
 
7.8%
6 8
 
7.0%
3 7
 
6.1%
7 5
 
4.3%
4 5
 
4.3%
9 3
 
2.6%
Hangul
ValueCountFrequency (%)
명 34
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115
77.2%
Hangul 34
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
40.0%
1 12
 
10.4%
5 10
 
8.7%
8 10
 
8.7%
2 9
 
7.8%
6 8
 
7.0%
3 7
 
6.1%
7 5
 
4.3%
4 5
 
4.3%
9 3
 
2.6%
Hangul
ValueCountFrequency (%)
명 34
100.0%

Correlations

2023-12-11T04:26:23.914701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소 속성 명회원수
소 속1.0001.0001.000
성 명1.0001.0001.000
회원수1.0001.0001.000

Missing values

2023-12-11T04:26:20.918107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:26:21.140367image/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

소 속성 명회원수
0(사)대한어머니회 대구광역시연합회하후남550명
1한국자유총연맹 대구광역시여성협의회구순천19882명
2(사)한중여성교류협회 대구광역시지회이순란120명
3(사)고향생각주부모임 대구광역시지회황혜선28890명
4(사)소비자교육중앙회 대구광역시지부장혜경1200명
5동구여성단체협의회윤해진1000명
6(사)한국생활개선 대구광역시연합회김미경600명
7수성구여성단체협의회백인계5000명
8서구여성단체협의회이맹자1176명
9(사)의회를사랑하는사람들 대구광역시지부이수연350명
소 속성 명회원수
24(사)대한치과위생사협회 대구.경북회오미정5000명
25북구여성단체협의회한성희800명
26(사)선덕여왕숭모회조용시50명
27신나는봉사대이종선100명
28중구여성단체협의회정정념337명
29(사)한국부인회 대구광역시지부이정순400명
30(사)한국여성유권자 대구연맹전말순200명
31(사)한국여학사협회 대구지부회유순남35명
32(사)한국푸드코디네이터 대구지부이나희20명
33(사)한국피부미용사회중앙회 대구광역시지회최외숙600명