Overview

Dataset statistics

Number of variables5
Number of observations38
Missing cells2
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory43.5 B

Variable types

Categorical2
Text3

Dataset

Description제주특별자치도 내 해양수산과 관련한 유관기관에 대한 데이터로 구분, 기관단체명, 주소, 연락처 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15056434/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 2 (5.3%) missing valuesMissing
기관단체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:26:27.872981
Analysis finished2023-12-12 16:26:28.330133
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
단체
31 
기관
4 
학교
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기관
2nd row기관
3rd row기관
4th row기관
5th row단체

Common Values

ValueCountFrequency (%)
단체 31
81.6%
기관 4
 
10.5%
학교 3
 
7.9%

Length

2023-12-13T01:26:28.420355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:26:28.555365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단체 31
81.6%
기관 4
 
10.5%
학교 3
 
7.9%

기관단체명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T01:26:28.795596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length11.868421
Min length6

Characters and Unicode

Total characters451
Distinct characters114
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

Unique38 ?
Unique (%)100.0%

Sample

1st row부산지방해양항만청 제주해양관리단
2nd row제주해양경찰서
3rd row국립수산과학원 제주수산연구소
4th row국립수산물품질검사원 제주지원
5th row수협중앙회 제주지역금융본부
ValueCountFrequency (%)
제주대학교 2
 
3.4%
제주도자율관리어업 1
 
1.7%
해양과환경 1
 
1.7%
연구소 1
 
1.7%
제주항만물류협회장 1
 
1.7%
한국해운조합 1
 
1.7%
제주지부 1
 
1.7%
제주도해상산업노동조합 1
 
1.7%
선박안전기술공단제주지부 1
 
1.7%
해양환경공단 1
 
1.7%
Other values (48) 48
81.4%
2023-12-13T01:26:29.183923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 31
 
6.9%
제 30
 
6.7%
21
 
4.7%
협 20
 
4.4%
산 17
 
3.8%
해 15
 
3.3%
회 15
 
3.3%
수 14
 
3.1%
업 14
 
3.1%
도 13
 
2.9%
Other values (104) 261
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 429
95.1%
Space Separator 21
 
4.7%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 31
 
7.2%
제 30
 
7.0%
협 20
 
4.7%
산 17
 
4.0%
해 15
 
3.5%
회 15
 
3.5%
수 14
 
3.3%
업 14
 
3.3%
도 13
 
3.0%
의 12
 
2.8%
Other values (102) 248
57.8%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 429
95.1%
Common 22
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 31
 
7.2%
제 30
 
7.0%
협 20
 
4.7%
산 17
 
4.0%
해 15
 
3.5%
회 15
 
3.5%
수 14
 
3.3%
업 14
 
3.3%
도 13
 
3.0%
의 12
 
2.8%
Other values (102) 248
57.8%
Common
ValueCountFrequency (%)
21
95.5%
) 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 429
95.1%
ASCII 22
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 31
 
7.2%
제 30
 
7.0%
협 20
 
4.7%
산 17
 
4.0%
해 15
 
3.5%
회 15
 
3.5%
수 14
 
3.3%
업 14
 
3.3%
도 13
 
3.0%
의 12
 
2.8%
Other values (102) 248
57.8%
ASCII
ValueCountFrequency (%)
21
95.5%
) 1
 
4.5%

주소
Text

Distinct31
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-13T01:26:29.412173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.973684
Min length18

Characters and Unicode

Total characters835
Distinct characters61
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

Unique27 ?
Unique (%)71.1%

Sample

1st row제주특별자치도 제주시 건입동 918
2nd row제주특별자치도 제주시 건입동 908
3rd row제주특별자치도 제주시 외도2동 1928
4th row제주특별자치도 제주시 도남동 662
5th row제주특별자치도 제주시 연동 292-34
ValueCountFrequency (%)
제주특별자치도 38
23.9%
제주시 33
20.8%
건입동 12
 
7.5%
연동 6
 
3.8%
서귀포시 5
 
3.1%
918-30 4
 
2.5%
292-34 3
 
1.9%
667-6 2
 
1.3%
성산읍 2
 
1.3%
서귀동 2
 
1.3%
Other values (51) 52
32.7%
2023-12-13T01:26:29.747457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
14.5%
제 71
 
8.5%
주 71
 
8.5%
도 44
 
5.3%
자 39
 
4.7%
특 38
 
4.6%
별 38
 
4.6%
치 38
 
4.6%
시 38
 
4.6%
1 31
 
3.7%
Other values (51) 306
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 518
62.0%
Decimal Number 168
 
20.1%
Space Separator 121
 
14.5%
Dash Punctuation 28
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 71
13.7%
주 71
13.7%
도 44
8.5%
자 39
 
7.5%
특 38
 
7.3%
별 38
 
7.3%
치 38
 
7.3%
시 38
 
7.3%
동 28
 
5.4%
입 12
 
2.3%
Other values (39) 101
19.5%
Decimal Number
ValueCountFrequency (%)
1 31
18.5%
2 29
17.3%
3 23
13.7%
9 19
11.3%
8 19
11.3%
0 11
 
6.5%
4 11
 
6.5%
6 11
 
6.5%
7 9
 
5.4%
5 5
 
3.0%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 518
62.0%
Common 317
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 71
13.7%
주 71
13.7%
도 44
8.5%
자 39
 
7.5%
특 38
 
7.3%
별 38
 
7.3%
치 38
 
7.3%
시 38
 
7.3%
동 28
 
5.4%
입 12
 
2.3%
Other values (39) 101
19.5%
Common
ValueCountFrequency (%)
121
38.2%
1 31
 
9.8%
2 29
 
9.1%
- 28
 
8.8%
3 23
 
7.3%
9 19
 
6.0%
8 19
 
6.0%
0 11
 
3.5%
4 11
 
3.5%
6 11
 
3.5%
Other values (2) 14
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 518
62.0%
ASCII 317
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
38.2%
1 31
 
9.8%
2 29
 
9.1%
- 28
 
8.8%
3 23
 
7.3%
9 19
 
6.0%
8 19
 
6.0%
0 11
 
3.5%
4 11
 
3.5%
6 11
 
3.5%
Other values (2) 14
 
4.4%
Hangul
ValueCountFrequency (%)
제 71
13.7%
주 71
13.7%
도 44
8.5%
자 39
 
7.5%
특 38
 
7.3%
별 38
 
7.3%
치 38
 
7.3%
시 38
 
7.3%
동 28
 
5.4%
입 12
 
2.3%
Other values (39) 101
19.5%

연락처
Text

MISSING 

Distinct36
Distinct (%)100.0%
Missing2
Missing (%)5.3%
Memory size436.0 B
2023-12-13T01:26:29.956708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters432
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

Unique36 ?
Unique (%)100.0%

Sample

1st row064-720-2610
2nd row064-753-1891
3rd row064-750-4300
4th row064-728-5601
5th row064-747-4110
ValueCountFrequency (%)
064-753-1891 1
 
2.8%
064-750-4300 1
 
2.8%
064-751-1901 1
 
2.8%
064-757-2925 1
 
2.8%
064-720-8500 1
 
2.8%
064-784-8075 1
 
2.8%
064-721-7401 1
 
2.8%
064-753-4376 1
 
2.8%
064-722-5412 1
 
2.8%
064-759-6336 1
 
2.8%
Other values (26) 26
72.2%
2023-12-13T01:26:30.307904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.7%
0 68
15.7%
4 55
12.7%
6 49
11.3%
7 46
10.6%
5 30
6.9%
1 30
6.9%
2 27
 
6.2%
3 23
 
5.3%
8 19
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 68
18.9%
4 55
15.3%
6 49
13.6%
7 46
12.8%
5 30
8.3%
1 30
8.3%
2 27
 
7.5%
3 23
 
6.4%
8 19
 
5.3%
9 13
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.7%
0 68
15.7%
4 55
12.7%
6 49
11.3%
7 46
10.6%
5 30
6.9%
1 30
6.9%
2 27
 
6.2%
3 23
 
5.3%
8 19
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.7%
0 68
15.7%
4 55
12.7%
6 49
11.3%
7 46
10.6%
5 30
6.9%
1 30
6.9%
2 27
 
6.2%
3 23
 
5.3%
8 19
 
4.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-07-19
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-19
2nd row2023-07-19
3rd row2023-07-19
4th row2023-07-19
5th row2023-07-19

Common Values

ValueCountFrequency (%)
2023-07-19 38
100.0%

Length

2023-12-13T01:26:30.441380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:26:30.534468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-19 38
100.0%

Correlations

2023-12-13T01:26:30.588789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관단체명주소연락처
구분1.0001.0001.0001.000
기관단체명1.0001.0001.0001.000
주소1.0001.0001.0001.000
연락처1.0001.0001.0001.000

Missing values

2023-12-13T01:26:28.154783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:26:28.277060image/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

구분기관단체명주소연락처데이터기준일자
0기관부산지방해양항만청 제주해양관리단제주특별자치도 제주시 건입동 918064-720-26102023-07-19
1기관제주해양경찰서제주특별자치도 제주시 건입동 908064-753-18912023-07-19
2기관국립수산과학원 제주수산연구소제주특별자치도 제주시 외도2동 1928064-750-43002023-07-19
3기관국립수산물품질검사원 제주지원제주특별자치도 제주시 도남동 662064-728-56012023-07-19
4단체수협중앙회 제주지역금융본부제주특별자치도 제주시 연동 292-34064-747-41102023-07-19
5단체제주시수산업협동조합제주특별자치도 제주시 건입동 1439-4064-753-10012023-07-19
6단체서귀포수산업협동조합제주특별자치도 서귀포시 서귀동 667-6064-733-35012023-07-19
7단체한림수산업협동조합제주특별자치도 제주시 한림읍 한림리 1328-17064-796-09112023-07-19
8단체추자도수산업협동조합제주특별자치도 제주시 추자면 대서리 4-9064-742-81952023-07-19
9단체성산포수산업협동조합제주특별자치도 서귀포시 성산읍 성산리 225-1064-782-31312023-07-19
구분기관단체명주소연락처데이터기준일자
28단체제주어업정보통신국제주특별자치도 제주시 건입동 918-28064-759-63362023-07-19
29단체제주도자율관리어업 공동체협의회제주특별자치도 제주시 애월읍 하귀1리 526-3<NA>2023-07-19
30단체제주해양연맹제주특별자치도 제주시 아라일동 1064-759-22882023-07-19
31단체제주도해양스포츠 낚시연합회제주특별자치도 제주시 삼도2동 827-22064-755-24702023-07-19
32단체제주해상사업체협의회제주특별자치도 제주시 화북1동 2194-2064-725-90582023-07-19
33단체바다살리기 국민운동제주본부제주특별자치도 제주시 연동 1372064-712-23582023-07-19
34단체바다를 사랑하는 사람들의 모임제주특별자치도 제주시 이도1동 1685-14<NA>2023-07-19
35학교제주대학교 해양과학대학제주특별자치도 제주시 아라1동 1-1064-754-34002023-07-19
36학교제주대학교 해양과환경 연구소제주특별자치도 제주시 조천읍 함덕리 3288064-783-92602023-07-19
37학교성산고등학교제주특별자치도 서귀포시 성산읍 오조리 360064-782-60922023-07-19