Overview

Dataset statistics

Number of variables5
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory42.2 B

Variable types

Text3
DateTime1
Categorical1

Dataset

Description울산광역시 지역내 환경분야 비영리 민간단체명, 등록일, 대표자 성명, 주된사업, 안내자료 정보를 제공하고 있습니다.
Author울산광역시
URLhttps://www.data.go.kr/data/15054800/fileData.do

Alerts

직위 is highly imbalanced (56.5%)Imbalance
단체명 has unique valuesUnique
대표자 성명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:39:21.022110
Analysis finished2023-12-12 17:39:21.740345
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단체명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T02:39:21.887880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.466667
Min length3

Characters and Unicode

Total characters628
Distinct characters142
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row(사)자연보호중앙연맹 울산광역시협의회
2nd row울산광역시 녹색환경보전회
3rd row울산자연환경협의회
4th row(사)태화강보전회
5th row울산환경운동연합
ValueCountFrequency (%)
울산광역시지부 3
 
3.9%
울산광역시 2
 
2.6%
울산광역시협의회 2
 
2.6%
사)자연보호중앙연맹 1
 
1.3%
울산환경사랑회 1
 
1.3%
태화루환경봉사단 1
 
1.3%
울산강살리기네트워크 1
 
1.3%
한국로드킬예방협의회 1
 
1.3%
새천년환경보전회 1
 
1.3%
무거천생태모임 1
 
1.3%
Other values (63) 63
81.8%
2023-12-13T02:39:22.316037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
 
4.9%
30
 
4.8%
30
 
4.8%
30
 
4.8%
28
 
4.5%
18
 
2.9%
17
 
2.7%
17
 
2.7%
17
 
2.7%
16
 
2.5%
Other values (132) 394
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 587
93.5%
Space Separator 17
 
2.7%
Close Punctuation 10
 
1.6%
Open Punctuation 10
 
1.6%
Uppercase Letter 2
 
0.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
5.3%
30
 
5.1%
30
 
5.1%
30
 
5.1%
28
 
4.8%
18
 
3.1%
17
 
2.9%
17
 
2.9%
16
 
2.7%
16
 
2.7%
Other values (125) 354
60.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
U 1
50.0%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 587
93.5%
Common 39
 
6.2%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
5.3%
30
 
5.1%
30
 
5.1%
30
 
5.1%
28
 
4.8%
18
 
3.1%
17
 
2.9%
17
 
2.9%
16
 
2.7%
16
 
2.7%
Other values (125) 354
60.3%
Common
ValueCountFrequency (%)
17
43.6%
) 10
25.6%
( 10
25.6%
2 1
 
2.6%
1 1
 
2.6%
Latin
ValueCountFrequency (%)
S 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 586
93.3%
ASCII 41
 
6.5%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
31
 
5.3%
30
 
5.1%
30
 
5.1%
30
 
5.1%
28
 
4.8%
18
 
3.1%
17
 
2.9%
17
 
2.9%
16
 
2.7%
16
 
2.7%
Other values (124) 353
60.2%
ASCII
ValueCountFrequency (%)
17
41.5%
) 10
24.4%
( 10
24.4%
S 1
 
2.4%
U 1
 
2.4%
2 1
 
2.4%
1 1
 
2.4%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
Distinct49
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2000-05-16 00:00:00
Maximum2021-03-04 00:00:00
2023-12-13T02:39:22.468785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:39:22.675207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

직위
Categorical

IMBALANCE 

Distinct9
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
회장
46 
대표
공동대표
 
2
공동의장
 
1
본부장
 
1
Other values (4)
 
4

Length

Max length4
Median length2
Mean length2.2
Min length2

Unique

Unique6 ?
Unique (%)10.0%

Sample

1st row회장
2nd row회장
3rd row회장
4th row공동대표
5th row공동의장

Common Values

ValueCountFrequency (%)
회장 46
76.7%
대표 6
 
10.0%
공동대표 2
 
3.3%
공동의장 1
 
1.7%
본부장 1
 
1.7%
지부장 1
 
1.7%
상임대표 1
 
1.7%
이사장 1
 
1.7%
위원장 1
 
1.7%

Length

2023-12-13T02:39:22.817564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:39:22.945246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
회장 46
76.7%
대표 6
 
10.0%
공동대표 2
 
3.3%
공동의장 1
 
1.7%
본부장 1
 
1.7%
지부장 1
 
1.7%
상임대표 1
 
1.7%
이사장 1
 
1.7%
위원장 1
 
1.7%

대표자 성명
Text

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T02:39:23.197744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.1833333
Min length3

Characters and Unicode

Total characters191
Distinct characters89
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row허무선
2nd row최정희
3rd row심상국
4th row허남태,이수식,박재줄
5th row김장용
ValueCountFrequency (%)
허무선 1
 
1.6%
이명숙 1
 
1.6%
장수진 1
 
1.6%
이미숙 1
 
1.6%
이상협 1
 
1.6%
김금자 1
 
1.6%
이정렬 1
 
1.6%
오영애 1
 
1.6%
김태우 1
 
1.6%
정해정 1
 
1.6%
Other values (52) 52
83.9%
2023-12-13T02:39:23.563639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
7.3%
13
 
6.8%
10
 
5.2%
6
 
3.1%
5
 
2.6%
5
 
2.6%
4
 
2.1%
4
 
2.1%
4
 
2.1%
4
 
2.1%
Other values (79) 122
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
97.4%
Space Separator 2
 
1.0%
Other Punctuation 2
 
1.0%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
7.5%
13
 
7.0%
10
 
5.4%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (76) 117
62.9%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 186
97.4%
Common 5
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
7.5%
13
 
7.0%
10
 
5.4%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (76) 117
62.9%
Common
ValueCountFrequency (%)
2
40.0%
, 2
40.0%
2 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
97.4%
ASCII 5
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
14
 
7.5%
13
 
7.0%
10
 
5.4%
6
 
3.2%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
Other values (76) 117
62.9%
ASCII
ValueCountFrequency (%)
2
40.0%
, 2
40.0%
2 1
20.0%
Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T02:39:23.844060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length17
Mean length11.2
Min length4

Characters and Unicode

Total characters672
Distinct characters160
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)93.3%

Sample

1st row자연환경보전운동
2nd row환경교육+정화활동
3rd row수중정화활동
4th row태화강보전활동
5th row지역환경현안조사연구+고래보호운동
ValueCountFrequency (%)
5
 
5.2%
환경정화활동 3
 
3.1%
수중정화활동 2
 
2.1%
교육 2
 
2.1%
사업 2
 
2.1%
환경감시및정화활동 2
 
2.1%
정화활동 1
 
1.0%
명정천 1
 
1.0%
플라스틱 1
 
1.0%
보존 1
 
1.0%
Other values (76) 76
79.2%
2023-12-13T02:39:24.241196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
5.8%
37
 
5.5%
37
 
5.5%
36
 
5.4%
30
 
4.5%
30
 
4.5%
22
 
3.3%
21
 
3.1%
18
 
2.7%
15
 
2.2%
Other values (150) 387
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 613
91.2%
Space Separator 36
 
5.4%
Math Symbol 12
 
1.8%
Other Punctuation 9
 
1.3%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
39
 
6.4%
37
 
6.0%
37
 
6.0%
30
 
4.9%
30
 
4.9%
22
 
3.6%
21
 
3.4%
18
 
2.9%
15
 
2.4%
14
 
2.3%
Other values (143) 350
57.1%
Other Punctuation
ValueCountFrequency (%)
, 4
44.4%
/ 4
44.4%
· 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Math Symbol
ValueCountFrequency (%)
+ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 613
91.2%
Common 59
 
8.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
39
 
6.4%
37
 
6.0%
37
 
6.0%
30
 
4.9%
30
 
4.9%
22
 
3.6%
21
 
3.4%
18
 
2.9%
15
 
2.4%
14
 
2.3%
Other values (143) 350
57.1%
Common
ValueCountFrequency (%)
36
61.0%
+ 12
 
20.3%
, 4
 
6.8%
/ 4
 
6.8%
2 1
 
1.7%
1 1
 
1.7%
· 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 613
91.2%
ASCII 58
 
8.6%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
39
 
6.4%
37
 
6.0%
37
 
6.0%
30
 
4.9%
30
 
4.9%
22
 
3.6%
21
 
3.4%
18
 
2.9%
15
 
2.4%
14
 
2.3%
Other values (143) 350
57.1%
ASCII
ValueCountFrequency (%)
36
62.1%
+ 12
 
20.7%
, 4
 
6.9%
/ 4
 
6.9%
2 1
 
1.7%
1 1
 
1.7%
None
ValueCountFrequency (%)
· 1
100.0%

Correlations

2023-12-13T02:39:24.375791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단체명등록일직위대표자 성명주된사업
단체명1.0001.0001.0001.0001.000
등록일1.0001.0000.0001.0000.981
직위1.0000.0001.0001.0001.000
대표자 성명1.0001.0001.0001.0001.000
주된사업1.0000.9811.0001.0001.000

Missing values

2023-12-13T02:39:21.593194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:39:21.702994image/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

단체명등록일직위대표자 성명주된사업
0(사)자연보호중앙연맹 울산광역시협의회2000-05-16회장허무선자연환경보전운동
1울산광역시 녹색환경보전회2000-05-16회장최정희환경교육+정화활동
2울산자연환경협의회2000-05-16회장심상국수중정화활동
3(사)태화강보전회2000-05-16공동대표허남태,이수식,박재줄태화강보전활동
4울산환경운동연합2000-05-16공동의장김장용지역환경현안조사연구+고래보호운동
5처용시민환경보전회2000-05-16회장강재위공단환경정비및감시
6(사)환경보호협의회2000-05-23회장박도문환경감시활동및연구
7(사)환경보호국민운동본부 울산광역시지부2000-06-12본부장고인관환경교육및홍보
8울산환경사랑운동본부2000-07-21회장한봉희자연환경보전+학술연구개발
9(사)울주환경연합회2000-09-20회장정금시환경홍보및교육
단체명등록일직위대표자 성명주된사업
50별빛반딧불이복원연구회2019-08-01회장김강수반딧불이와 자생나비 등을 자연속으로 복원하는 사업
51플로깅운동연합공동체2019-10-11회장조성웅플라스틱 쓰레기 문제 공론화, 계몽
52울산환경교육연합2020-01-14회장김차윤사회 환경관련 프로그램 개발
53플로깅운동 울산여성회2020-06-25회장최정숙화경정화활동 및 여성 아카데미 교육
54울산불교환경연대2021-01-07회장조 문자연생태계 및 환경 수호를 위한 사업, 교육, 홍보
55티스토리2021-01-07회장황수진울산12경 및 태화강국가정원 환경보호 및 정화활동
56울산태화강삼호철새마을협의회2021-02-17회장최상림철새도래지 보존, 환경정화활동
57US태화강국가정원환경지킴이2021-02-17회장박지은생태환경개선 및 환경정화활동
58에코지도사협회2021-03-04회장이복남에코지도사 양성 환경교육사업
59명정천을사랑하는사람들의모임2021-01-04회장주왕석명정천 환경보전