Overview

Dataset statistics

Number of variables9
Number of observations219
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory72.6 B

Variable types

Categorical8
Text1

Dataset

Description해남군 의회의원총람 정보는 제 1대부터 제9대까지 개원후 기수, 지역구, 직위, 의원명, 소속상임위원회 등에 대한 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15050078/fileData.do

Alerts

임기(만료) is highly overall correlated with 대수 and 2 other fieldsHigh correlation
임기(시작) is highly overall correlated with 대수 and 2 other fieldsHigh correlation
대수 is highly overall correlated with 임기(시작) and 1 other fieldsHigh correlation
운영위원회 is highly overall correlated with 직위High correlation
전후반기 is highly overall correlated with 임기(시작) and 1 other fieldsHigh correlation
직위 is highly overall correlated with 운영위원회 and 1 other fieldsHigh correlation
상임위 is highly overall correlated with 직위High correlation

Reproduction

Analysis started2023-12-12 09:14:26.797922
Analysis finished2023-12-12 09:14:27.916483
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1대
32 
2대
30 
3대
29 
4대
28 
6대
23 
Other values (4)
77 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1대
2nd row1대
3rd row1대
4th row1대
5th row1대

Common Values

ValueCountFrequency (%)
1대 32
14.6%
2대 30
13.7%
3대 29
13.2%
4대 28
12.8%
6대 23
10.5%
5대 22
10.0%
7대 22
10.0%
8대 22
10.0%
9대 11
 
5.0%

Length

2023-12-12T18:14:28.003278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:14:28.156862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1대 32
14.6%
2대 30
13.7%
3대 29
13.2%
4대 28
12.8%
6대 23
10.5%
5대 22
10.0%
7대 22
10.0%
8대 22
10.0%
9대 11
 
5.0%

전후반기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
전반기
117 
후반기
102 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전반기
2nd row후반기
3rd row전반기
4th row후반기
5th row전반기

Common Values

ValueCountFrequency (%)
전반기 117
53.4%
후반기 102
46.6%

Length

2023-12-12T18:14:28.338256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:14:28.456514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전반기 117
53.4%
후반기 102
46.6%

직위
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
134 
의장
17 
부의장
17 
산업건설위원장
17 
총무위원장
17 
Other values (2)
17 

Length

Max length7
Median length4
Mean length4.1643836
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 134
61.2%
의장 17
 
7.8%
부의장 17
 
7.8%
산업건설위원장 17
 
7.8%
총무위원장 17
 
7.8%
운영위원장 16
 
7.3%
윤리특별위원장 1
 
0.5%

Length

2023-12-12T18:14:28.598508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:14:28.756205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 134
61.2%
의장 17
 
7.8%
부의장 17
 
7.8%
산업건설위원장 17
 
7.8%
총무위원장 17
 
7.8%
운영위원장 16
 
7.3%
윤리특별위원장 1
 
0.5%

의원명
Text

Distinct67
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T18:14:29.049168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0730594
Min length2

Characters and Unicode

Total characters673
Distinct characters88
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)3.7%

Sample

1st row김광호
2nd row김광호
3rd row박희현(박재현)
4th row박희현(박재현)
5th row정권용
ValueCountFrequency (%)
정권용 8
 
3.7%
최문신 8
 
3.7%
홍두표 8
 
3.7%
김창환 8
 
3.7%
정진석 7
 
3.2%
박득춘 6
 
2.7%
이길운 6
 
2.7%
조광영 6
 
2.7%
오종배 6
 
2.7%
김평윤 6
 
2.7%
Other values (57) 150
68.5%
2023-12-12T18:14:29.560958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 60
 
8.9%
이 39
 
5.8%
박 32
 
4.8%
정 28
 
4.2%
종 19
 
2.8%
재 18
 
2.7%
민 17
 
2.5%
환 15
 
2.2%
명 14
 
2.1%
영 14
 
2.1%
Other values (78) 417
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
98.8%
Close Punctuation 4
 
0.6%
Open Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 60
 
9.0%
이 39
 
5.9%
박 32
 
4.8%
정 28
 
4.2%
종 19
 
2.9%
재 18
 
2.7%
민 17
 
2.6%
환 15
 
2.3%
명 14
 
2.1%
영 14
 
2.1%
Other values (76) 409
61.5%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
98.8%
Common 8
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 60
 
9.0%
이 39
 
5.9%
박 32
 
4.8%
정 28
 
4.2%
종 19
 
2.9%
재 18
 
2.7%
민 17
 
2.6%
환 15
 
2.3%
명 14
 
2.1%
영 14
 
2.1%
Other values (76) 409
61.5%
Common
ValueCountFrequency (%)
) 4
50.0%
( 4
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
98.8%
ASCII 8
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 60
 
9.0%
이 39
 
5.9%
박 32
 
4.8%
정 28
 
4.2%
종 19
 
2.9%
재 18
 
2.7%
민 17
 
2.6%
환 15
 
2.3%
명 14
 
2.1%
영 14
 
2.1%
Other values (76) 409
61.5%
ASCII
ValueCountFrequency (%)
) 4
50.0%
( 4
50.0%

임기(시작)
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1997-01-10
15 
1995-07-12
15 
1994-05-12
15 
1991-04-15
 
14
2004-07-02
 
14
Other values (18)
146 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)2.7%

Sample

1st row1991-04-15
2nd row1994-05-12
3rd row1991-04-15
4th row1994-05-12
5th row1993-12-01

Common Values

ValueCountFrequency (%)
1997-01-10 15
 
6.8%
1995-07-12 15
 
6.8%
1994-05-12 15
 
6.8%
1991-04-15 14
 
6.4%
2004-07-02 14
 
6.4%
1998-07-09 14
 
6.4%
2002-07-02 14
 
6.4%
2000-07-10 13
 
5.9%
2016-07-01 11
 
5.0%
2022-07-01 11
 
5.0%
Other values (13) 83
37.9%

Length

2023-12-12T18:14:29.725701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1997-01-10 15
 
6.8%
1994-05-12 15
 
6.8%
1995-07-12 15
 
6.8%
1991-04-15 14
 
6.4%
2004-07-02 14
 
6.4%
1998-07-09 14
 
6.4%
2002-07-02 14
 
6.4%
2000-07-10 13
 
5.9%
2014-07-01 11
 
5.0%
2006-07-01 11
 
5.0%
Other values (13) 83
37.9%

임기(만료)
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
1994-05-11
16 
1998-06-30
15 
1997-01-09
15 
2002-06-30
 
14
1995-06-30
 
14
Other values (18)
145 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)2.7%

Sample

1st row1994-05-11
2nd row1995-06-30
3rd row1994-05-11
4th row1995-06-30
5th row1994-05-11

Common Values

ValueCountFrequency (%)
1994-05-11 16
 
7.3%
1998-06-30 15
 
6.8%
1997-01-09 15
 
6.8%
2002-06-30 14
 
6.4%
1995-06-30 14
 
6.4%
2004-06-30 14
 
6.4%
2006-06-30 14
 
6.4%
2000-07-09 13
 
5.9%
2016-06-30 11
 
5.0%
2024-06-30 11
 
5.0%
Other values (13) 82
37.4%

Length

2023-12-12T18:14:29.916009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1994-05-11 16
 
7.3%
1997-01-09 15
 
6.8%
1998-06-30 15
 
6.8%
2002-06-30 14
 
6.4%
1995-06-30 14
 
6.4%
2004-06-30 14
 
6.4%
2006-06-30 14
 
6.4%
2000-07-09 13
 
5.9%
2014-06-30 11
 
5.0%
2008-06-30 11
 
5.0%
Other values (13) 82
37.4%

운영위원회
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
147 
위원
55 
위원장
17 

Length

Max length4
Median length4
Mean length3.4200913
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 147
67.1%
위원 55
 
25.1%
위원장 17
 
7.8%

Length

2023-12-12T18:14:30.066793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:14:30.240544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 147
67.1%
위원 55
 
25.1%
위원장 17
 
7.8%

상임위
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
총무위원회
101 
산업건설위원회
94 
<NA>
24 

Length

Max length7
Median length5
Mean length5.7488584
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총무위원회 101
46.1%
산업건설위원회 94
42.9%
<NA> 24
 
11.0%

Length

2023-12-12T18:14:30.405293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:14:30.543178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총무위원회 101
46.1%
산업건설위원회 94
42.9%
na 24
 
11.0%

선거구
Categorical

Distinct19
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
가_선거구
38 
해남읍
24 
라_선거구
22 
다_선거구
20 
나_선거구
18 
Other values (14)
97 

Length

Max length5
Median length3
Mean length3.8858447
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해남읍
2nd row해남읍
3rd row해남읍
4th row해남읍
5th row송지면

Common Values

ValueCountFrequency (%)
가_선거구 38
17.4%
해남읍 24
11.0%
라_선거구 22
 
10.0%
다_선거구 20
 
9.1%
나_선거구 18
 
8.2%
현산면 9
 
4.1%
옥천면 8
 
3.7%
북일면 8
 
3.7%
계곡면 8
 
3.7%
화원면 8
 
3.7%
Other values (9) 56
25.6%

Length

2023-12-12T18:14:30.697970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가_선거구 38
17.4%
해남읍 24
11.0%
라_선거구 22
 
10.0%
다_선거구 20
 
9.1%
나_선거구 18
 
8.2%
현산면 9
 
4.1%
문내면 8
 
3.7%
송지면 8
 
3.7%
황산면 8
 
3.7%
북평면 8
 
3.7%
Other values (9) 56
25.6%

Correlations

2023-12-12T18:14:30.821363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수전후반기직위의원명임기(시작)임기(만료)운영위원회상임위선거구
대수1.0000.1030.0000.8841.0001.0000.0000.0000.639
전후반기0.1031.0000.0000.0001.0000.9890.0000.0000.000
직위0.0000.0001.0000.7630.0000.0001.0000.5370.000
의원명0.8840.0000.7631.0000.0000.8090.3440.6070.998
임기(시작)1.0001.0000.0000.0001.0000.9980.0000.0000.544
임기(만료)1.0000.9890.0000.8090.9981.0000.0000.0000.509
운영위원회0.0000.0001.0000.3440.0000.0001.0000.0000.000
상임위0.0000.0000.5370.6070.0000.0000.0001.0000.166
선거구0.6390.0000.0000.9980.5440.5090.0000.1661.000
2023-12-12T18:14:30.985237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
임기(만료)선거구상임위임기(시작)대수운영위원회전후반기직위
임기(만료)1.0000.1640.0000.8620.9660.0000.9410.000
선거구0.1641.0000.1390.1800.3040.0000.0000.000
상임위0.0000.1391.0000.0000.0000.0000.0000.635
임기(시작)0.8620.1800.0001.0000.9660.0000.9500.000
대수0.9660.3040.0000.9661.0000.0000.1000.000
운영위원회0.0000.0000.0000.0000.0001.0000.0000.922
전후반기0.9410.0000.0000.9500.1000.0001.0000.000
직위0.0000.0000.6350.0000.0000.9220.0001.000
2023-12-12T18:14:31.174988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수전후반기직위임기(시작)임기(만료)운영위원회상임위선거구
대수1.0000.1000.0000.9660.9660.0000.0000.304
전후반기0.1001.0000.0000.9500.9410.0000.0000.000
직위0.0000.0001.0000.0000.0000.9220.6350.000
임기(시작)0.9660.9500.0001.0000.8620.0000.0000.180
임기(만료)0.9660.9410.0000.8621.0000.0000.0000.164
운영위원회0.0000.0000.9220.0000.0001.0000.0000.000
상임위0.0000.0000.6350.0000.0000.0001.0000.139
선거구0.3040.0000.0000.1800.1640.0000.1391.000

Missing values

2023-12-12T18:14:27.635984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:14:27.826702image/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

대수전후반기직위의원명임기(시작)임기(만료)운영위원회상임위선거구
01대전반기의장김광호1991-04-151994-05-11<NA><NA>해남읍
11대후반기의장김광호1994-05-121995-06-30<NA><NA>해남읍
21대전반기부의장박희현(박재현)1991-04-151994-05-11<NA>총무위원회해남읍
31대후반기부의장박희현(박재현)1994-05-121995-06-30<NA>총무위원회해남읍
41대전반기<NA>정권용1993-12-011994-05-11<NA>산업건설위원회송지면
51대후반기<NA>정권용1994-05-121994-05-11<NA>산업건설위원회송지면
61대전반기<NA>홍두표1991-04-151994-05-11<NA>산업건설위원회북일면
71대후반기<NA>홍두표1994-05-121995-06-30<NA>산업건설위원회북일면
81대전반기<NA>문동한1991-04-151994-05-11<NA>총무위원회계곡면
91대후반기<NA>문동한1994-05-121995-06-30<NA>총무위원회계곡면
대수전후반기직위의원명임기(시작)임기(만료)운영위원회상임위선거구
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