Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells34
Missing cells (%)21.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory44.1 B

Variable types

Text4
DateTime1

Dataset

Description광주광역시에 등록된 비영리민간단체에 관한 데이터로 등록기관, 단체명, 대표자명, 소재지, 연락처, 등록일 등의 데이터를 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3076161/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 3 (9.4%) missing valuesMissing
데이터기준일 has 31 (96.9%) missing valuesMissing
단체명 has unique valuesUnique
도로명주소 has unique valuesUnique
대표자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:50:10.929856
Analysis finished2023-12-12 10:50:12.824000
Duration1.89 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T19:50:13.191999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17.5
Mean length11.3125
Min length6

Characters and Unicode

Total characters362
Distinct characters118
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row광주환경운동연합
2nd row(사)무등산보호단체협의회
3rd row(사)자연보호중앙연맹 광주광역시협의회
4th row(사)시민생활환경회의
5th row(사)주암호보전협의회
ValueCountFrequency (%)
광주환경운동연합 1
 
2.6%
유해구제협회 1
 
2.6%
환경기술네트워크 1
 
2.6%
광주21환경교육협의회 1
 
2.6%
광주전남불교환경연대 1
 
2.6%
재)목은환경연구재단 1
 
2.6%
생태계탐사제작단 1
 
2.6%
사)한국야생화연구회 1
 
2.6%
사)광주전남동식물 1
 
2.6%
재)광주세계도시환경포럼 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T19:50:13.982907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 20
 
5.5%
) 19
 
5.2%
( 19
 
5.2%
광 17
 
4.7%
경 16
 
4.4%
환 15
 
4.1%
주 14
 
3.9%
회 12
 
3.3%
연 9
 
2.5%
협 8
 
2.2%
Other values (108) 213
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 310
85.6%
Close Punctuation 19
 
5.2%
Open Punctuation 19
 
5.2%
Space Separator 6
 
1.7%
Decimal Number 4
 
1.1%
Uppercase Letter 4
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 20
 
6.5%
광 17
 
5.5%
경 16
 
5.2%
환 15
 
4.8%
주 14
 
4.5%
회 12
 
3.9%
연 9
 
2.9%
협 8
 
2.6%
시 8
 
2.6%
의 7
 
2.3%
Other values (99) 184
59.4%
Uppercase Letter
ValueCountFrequency (%)
N 1
25.0%
G 1
25.0%
O 1
25.0%
C 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
85.6%
Common 48
 
13.3%
Latin 4
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 20
 
6.5%
광 17
 
5.5%
경 16
 
5.2%
환 15
 
4.8%
주 14
 
4.5%
회 12
 
3.9%
연 9
 
2.9%
협 8
 
2.6%
시 8
 
2.6%
의 7
 
2.3%
Other values (99) 184
59.4%
Common
ValueCountFrequency (%)
) 19
39.6%
( 19
39.6%
6
 
12.5%
1 2
 
4.2%
2 2
 
4.2%
Latin
ValueCountFrequency (%)
N 1
25.0%
G 1
25.0%
O 1
25.0%
C 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 310
85.6%
ASCII 52
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 20
 
6.5%
광 17
 
5.5%
경 16
 
5.2%
환 15
 
4.8%
주 14
 
4.5%
회 12
 
3.9%
연 9
 
2.9%
협 8
 
2.6%
시 8
 
2.6%
의 7
 
2.3%
Other values (99) 184
59.4%
ASCII
ValueCountFrequency (%)
) 19
36.5%
( 19
36.5%
6
 
11.5%
1 2
 
3.8%
2 2
 
3.8%
N 1
 
1.9%
G 1
 
1.9%
O 1
 
1.9%
C 1
 
1.9%

도로명주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T19:50:14.737818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length25.90625
Min length19

Characters and Unicode

Total characters829
Distinct characters106
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row광주광역시 북구 금재로 36번길 64(북동) 북동신협 3층
2nd row광주광역시 북구 금남로 104(누문동) 밀알회관 3층
3rd row광주광역시 동구 무등로 522-4(산수동)
4th row광주광역시 북구 용전마을길 3(용전동)
5th row광주광역시 동구 구성로 168(충장로5가) 백광당금방 3층
ValueCountFrequency (%)
광주광역시 32
20.9%
북구 14
 
9.2%
동구 8
 
5.2%
3층 6
 
3.9%
서구 4
 
2.6%
남구 3
 
2.0%
무등로 3
 
2.0%
광산구 3
 
2.0%
금재로 3
 
2.0%
36번길 3
 
2.0%
Other values (70) 74
48.4%
2023-12-12T19:50:16.170178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
14.6%
광 68
 
8.2%
동 46
 
5.5%
구 33
 
4.0%
( 32
 
3.9%
역 32
 
3.9%
시 32
 
3.9%
주 32
 
3.9%
) 32
 
3.9%
로 28
 
3.4%
Other values (96) 373
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
60.6%
Decimal Number 131
 
15.8%
Space Separator 121
 
14.6%
Open Punctuation 32
 
3.9%
Close Punctuation 32
 
3.9%
Dash Punctuation 8
 
1.0%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 68
 
13.5%
동 46
 
9.2%
구 33
 
6.6%
역 32
 
6.4%
시 32
 
6.4%
주 32
 
6.4%
로 28
 
5.6%
북 20
 
4.0%
길 17
 
3.4%
번 14
 
2.8%
Other values (80) 180
35.9%
Decimal Number
ValueCountFrequency (%)
1 27
20.6%
3 22
16.8%
2 18
13.7%
6 13
9.9%
0 12
9.2%
4 11
8.4%
5 10
 
7.6%
8 9
 
6.9%
7 5
 
3.8%
9 4
 
3.1%
Other Punctuation
ValueCountFrequency (%)
? 2
66.7%
, 1
33.3%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
60.6%
Common 327
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 68
 
13.5%
동 46
 
9.2%
구 33
 
6.6%
역 32
 
6.4%
시 32
 
6.4%
주 32
 
6.4%
로 28
 
5.6%
북 20
 
4.0%
길 17
 
3.4%
번 14
 
2.8%
Other values (80) 180
35.9%
Common
ValueCountFrequency (%)
121
37.0%
( 32
 
9.8%
) 32
 
9.8%
1 27
 
8.3%
3 22
 
6.7%
2 18
 
5.5%
6 13
 
4.0%
0 12
 
3.7%
4 11
 
3.4%
5 10
 
3.1%
Other values (6) 29
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
60.6%
ASCII 327
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
37.0%
( 32
 
9.8%
) 32
 
9.8%
1 27
 
8.3%
3 22
 
6.7%
2 18
 
5.5%
6 13
 
4.0%
0 12
 
3.7%
4 11
 
3.4%
5 10
 
3.1%
Other values (6) 29
 
8.9%
Hangul
ValueCountFrequency (%)
광 68
 
13.5%
동 46
 
9.2%
구 33
 
6.6%
역 32
 
6.4%
시 32
 
6.4%
주 32
 
6.4%
로 28
 
5.6%
북 20
 
4.0%
길 17
 
3.4%
번 14
 
2.8%
Other values (80) 180
35.9%

대표자
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T19:50:16.613433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.15625
Min length3

Characters and Unicode

Total characters101
Distinct characters66
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

Unique32 ?
Unique (%)100.0%

Sample

1st row임낙평, 이정애
2nd row채정기
3rd row이정재
4th row김강열
5th row임승남
ValueCountFrequency (%)
임낙평 1
 
3.0%
김영선 1
 
3.0%
설명수 1
 
3.0%
조길예 1
 
3.0%
지병주 1
 
3.0%
황택주 1
 
3.0%
윤애자 1
 
3.0%
고재영 1
 
3.0%
강운태 1
 
3.0%
최종현 1
 
3.0%
Other values (23) 23
69.7%
2023-12-12T19:50:17.170424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
5.9%
경 5
 
5.0%
이 5
 
5.0%
임 3
 
3.0%
기 3
 
3.0%
박 3
 
3.0%
형 3
 
3.0%
강 3
 
3.0%
종 3
 
3.0%
정 3
 
3.0%
Other values (56) 64
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 99
98.0%
Space Separator 1
 
1.0%
Other Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
6.1%
경 5
 
5.1%
이 5
 
5.1%
임 3
 
3.0%
기 3
 
3.0%
박 3
 
3.0%
형 3
 
3.0%
강 3
 
3.0%
종 3
 
3.0%
정 3
 
3.0%
Other values (54) 62
62.6%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 99
98.0%
Common 2
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
6.1%
경 5
 
5.1%
이 5
 
5.1%
임 3
 
3.0%
기 3
 
3.0%
박 3
 
3.0%
형 3
 
3.0%
강 3
 
3.0%
종 3
 
3.0%
정 3
 
3.0%
Other values (54) 62
62.6%
Common
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 99
98.0%
ASCII 2
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
6.1%
경 5
 
5.1%
이 5
 
5.1%
임 3
 
3.0%
기 3
 
3.0%
박 3
 
3.0%
형 3
 
3.0%
강 3
 
3.0%
종 3
 
3.0%
정 3
 
3.0%
Other values (54) 62
62.6%
ASCII
ValueCountFrequency (%)
1
50.0%
, 1
50.0%

전화번호
Text

MISSING 

Distinct28
Distinct (%)96.6%
Missing3
Missing (%)9.4%
Memory size388.0 B
2023-12-12T19:50:17.596420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row062-514-2470
2nd row062-528-1187
3rd row062-234-2467
4th row062-234-9791
5th row062-225-3462
ValueCountFrequency (%)
062-514-2470 2
 
6.9%
062-528-1187 1
 
3.4%
062-651-1119 1
 
3.4%
062-223-2684 1
 
3.4%
062-655-1751 1
 
3.4%
062-366-0366 1
 
3.4%
062-511-5526 1
 
3.4%
062-613-3771 1
 
3.4%
062-527-8327 1
 
3.4%
062-914-8548 1
 
3.4%
Other values (18) 18
62.1%
2023-12-12T19:50:18.312697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 65
18.7%
- 58
16.7%
6 51
14.7%
0 43
12.4%
5 29
8.3%
1 24
 
6.9%
4 22
 
6.3%
3 21
 
6.0%
7 13
 
3.7%
9 12
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 65
22.4%
6 51
17.6%
0 43
14.8%
5 29
10.0%
1 24
 
8.3%
4 22
 
7.6%
3 21
 
7.2%
7 13
 
4.5%
9 12
 
4.1%
8 10
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 65
18.7%
- 58
16.7%
6 51
14.7%
0 43
12.4%
5 29
8.3%
1 24
 
6.9%
4 22
 
6.3%
3 21
 
6.0%
7 13
 
3.7%
9 12
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 65
18.7%
- 58
16.7%
6 51
14.7%
0 43
12.4%
5 29
8.3%
1 24
 
6.9%
4 22
 
6.3%
3 21
 
6.0%
7 13
 
3.7%
9 12
 
3.4%

데이터기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing31
Missing (%)96.9%
Memory size388.0 B
Minimum2015-06-22 00:00:00
Maximum2015-06-22 00:00:00
2023-12-12T19:50:18.547375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:50:18.715503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T19:50:18.857073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명도로명주소대표자전화번호
단체명1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
대표자1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T19:50:12.299061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:50:12.519501image/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.
2023-12-12T19:50:12.709839image/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

단체명도로명주소대표자전화번호데이터기준일
0광주환경운동연합광주광역시 북구 금재로 36번길 64(북동) 북동신협 3층임낙평, 이정애062-514-24702015-06-22
1(사)무등산보호단체협의회광주광역시 북구 금남로 104(누문동) 밀알회관 3층채정기062-528-1187<NA>
2(사)자연보호중앙연맹 광주광역시협의회광주광역시 동구 무등로 522-4(산수동)이정재062-234-2467<NA>
3(사)시민생활환경회의광주광역시 북구 용전마을길 3(용전동)김강열062-234-9791<NA>
4(사)주암호보전협의회광주광역시 동구 구성로 168(충장로5가) 백광당금방 3층임승남062-225-3462<NA>
5광주전남녹색연합광주광역시 서구 천변좌로 138-1(양동)임형칠062-233-6501<NA>
6환경보전시민연대광주광역시 서구 상무대로 1045(화정동)김민수062-361-9959<NA>
7(사)환경보호국민운동본부 광주광역시지역본부광주광역시 광산구 사암로 390번길 13-22(월곡동)송기만062-955-3188<NA>
8(사)광주시민환경연구소광주광역시 북구 금재로 36번길 64(북동)?북동신협 3층성진기062-514-2470<NA>
921C환경보호협의회광주광역시 동구 동계천로 (계림동)배경식062-512-3277<NA>
단체명도로명주소대표자전화번호데이터기준일
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26(사)상록수사랑광주광역시 북구 서방로 160번길 11(두암동)윤애자<NA><NA>
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30(재)한국환경조사평가원광주광역시 동구 독립로 286,409호(대인동)설명수<NA><NA>
31(사)에코미래센터광주광역시 동구 백서로 125번길 32-51(금동)강경호062-222-4900<NA>