Overview

Dataset statistics

Number of variables7
Number of observations47
Missing cells7
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory59.8 B

Variable types

Categorical2
DateTime2
Text3

Dataset

Description제주특별자치도 제주시에서 관리하는 복지자원 관련 현황 데이터를 제공합니다.
Author제주특별자치도 제주시
URLhttps://www.data.go.kr/data/15056334/fileData.do

Alerts

해당연도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 7 (14.9%) missing valuesMissing
제공주체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:37:46.830963
Analysis finished2023-12-12 04:37:47.422798
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당연도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2020
47 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 47
100.0%

Length

2023-12-12T13:37:47.489956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:47.586265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 47
100.0%

승인일자
Date

Distinct19
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2020-01-09 00:00:00
Maximum2020-11-23 00:00:00
2023-12-12T13:37:47.690702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:47.789997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)

제공주체명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T13:37:48.045601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length15
Mean length9.3617021
Min length4

Characters and Unicode

Total characters440
Distinct characters164
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row남양택시
2nd row평화라이온즈클럽
3rd row동제주종합사회복지관 조천읍센터
4th row아라온해수사우나
5th row오라동연합청년회
ValueCountFrequency (%)
남양택시 1
 
1.6%
제주특별자치도노인복지관 1
 
1.6%
무료 1
 
1.6%
보청기 1
 
1.6%
지원 1
 
1.6%
애월라이온스클럽 1
 
1.6%
샛별라이온스클럽 1
 
1.6%
스완스라이온스클럽 1
 
1.6%
초록우산어린이재단 1
 
1.6%
함덕교회 1
 
1.6%
Other values (54) 54
84.4%
2023-12-12T13:37:48.439548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 18
 
4.1%
제 17
 
3.9%
17
 
3.9%
지 12
 
2.7%
원 11
 
2.5%
사 10
 
2.3%
의 9
 
2.0%
동 8
 
1.8%
터 8
 
1.8%
스 8
 
1.8%
Other values (154) 322
73.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
94.1%
Space Separator 17
 
3.9%
Uppercase Letter 5
 
1.1%
Decimal Number 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
4.3%
제 17
 
4.1%
지 12
 
2.9%
원 11
 
2.7%
사 10
 
2.4%
의 9
 
2.2%
동 8
 
1.9%
터 8
 
1.9%
스 8
 
1.9%
시 8
 
1.9%
Other values (145) 305
73.7%
Uppercase Letter
ValueCountFrequency (%)
L 2
40.0%
G 1
20.0%
N 1
20.0%
H 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
3 1
25.0%
5 1
25.0%
6 1
25.0%
Space Separator
ValueCountFrequency (%)
17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 414
94.1%
Common 21
 
4.8%
Latin 5
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
4.3%
제 17
 
4.1%
지 12
 
2.9%
원 11
 
2.7%
사 10
 
2.4%
의 9
 
2.2%
동 8
 
1.9%
터 8
 
1.9%
스 8
 
1.9%
시 8
 
1.9%
Other values (145) 305
73.7%
Common
ValueCountFrequency (%)
17
81.0%
1 1
 
4.8%
3 1
 
4.8%
5 1
 
4.8%
6 1
 
4.8%
Latin
ValueCountFrequency (%)
L 2
40.0%
G 1
20.0%
N 1
20.0%
H 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
94.1%
ASCII 26
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 18
 
4.3%
제 17
 
4.1%
지 12
 
2.9%
원 11
 
2.7%
사 10
 
2.4%
의 9
 
2.2%
동 8
 
1.9%
터 8
 
1.9%
스 8
 
1.9%
시 8
 
1.9%
Other values (145) 305
73.7%
ASCII
ValueCountFrequency (%)
17
65.4%
L 2
 
7.7%
1 1
 
3.8%
G 1
 
3.8%
N 1
 
3.8%
H 1
 
3.8%
3 1
 
3.8%
5 1
 
3.8%
6 1
 
3.8%

제공주체구분
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
사업자
23 
비공식단체
22 
개인
 
2

Length

Max length5
Median length3
Mean length3.893617
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업자
2nd row비공식단체
3rd row비공식단체
4th row사업자
5th row비공식단체

Common Values

ValueCountFrequency (%)
사업자 23
48.9%
비공식단체 22
46.8%
개인 2
 
4.3%

Length

2023-12-12T13:37:48.591370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:37:48.687426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업자 23
48.9%
비공식단체 22
46.8%
개인 2
 
4.3%

전화번호
Text

MISSING 

Distinct34
Distinct (%)85.0%
Missing7
Missing (%)14.9%
Memory size508.0 B
2023-12-12T13:37:48.879830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters480
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

Unique30 ?
Unique (%)75.0%

Sample

1st row064-728-4963
2nd row064-728-4963
3rd row064-728-7822
4th row064-728-4963
5th row064-728-4817
ValueCountFrequency (%)
064-728-4817 3
 
7.5%
064-728-4963 3
 
7.5%
064-728-3042 2
 
5.0%
064-728-8832 2
 
5.0%
064-728-4603 1
 
2.5%
064-712-7769 1
 
2.5%
064-721-3862 1
 
2.5%
064-753-3703 1
 
2.5%
064-759-9982 1
 
2.5%
064-728-7822 1
 
2.5%
Other values (24) 24
60.0%
2023-12-12T13:37:49.286777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 80
16.7%
4 67
14.0%
0 64
13.3%
6 56
11.7%
7 54
11.2%
2 42
8.8%
8 33
6.9%
3 22
 
4.6%
5 22
 
4.6%
1 21
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
83.3%
Dash Punctuation 80
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 67
16.8%
0 64
16.0%
6 56
14.0%
7 54
13.5%
2 42
10.5%
8 33
8.2%
3 22
 
5.5%
5 22
 
5.5%
1 21
 
5.2%
9 19
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 80
16.7%
4 67
14.0%
0 64
13.3%
6 56
11.7%
7 54
11.2%
2 42
8.8%
8 33
6.9%
3 22
 
4.6%
5 22
 
4.6%
1 21
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 80
16.7%
4 67
14.0%
0 64
13.3%
6 56
11.7%
7 54
11.2%
2 42
8.8%
8 33
6.9%
3 22
 
4.6%
5 22
 
4.6%
1 21
 
4.4%

주소
Text

Distinct43
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T13:37:49.712728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length20.446809
Min length17

Characters and Unicode

Total characters961
Distinct characters72
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

Unique40 ?
Unique (%)85.1%

Sample

1st row제주특별자치도 제주시 백포남길 11-1
2nd row제주특별자치도 제주시 도령로 128
3rd row제주특별자치도 제주시 조천읍 신북로 501-1
4th row제주특별자치도 제주시 일주서로 7592-4
5th row제주특별자치도 제주시 오라로10길 6
ValueCountFrequency (%)
제주특별자치도 47
24.0%
제주시 47
24.0%
조천읍 4
 
2.0%
광양9길 3
 
1.5%
10 3
 
1.5%
애월읍 3
 
1.5%
일주서로 3
 
1.5%
신북로 3
 
1.5%
연북로 2
 
1.0%
연삼로 2
 
1.0%
Other values (72) 79
40.3%
2023-12-12T13:37:50.179867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
15.5%
주 99
 
10.3%
제 95
 
9.9%
도 48
 
5.0%
특 47
 
4.9%
별 47
 
4.9%
자 47
 
4.9%
치 47
 
4.9%
시 47
 
4.9%
1 37
 
3.9%
Other values (62) 298
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 653
68.0%
Decimal Number 150
 
15.6%
Space Separator 149
 
15.5%
Dash Punctuation 9
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 99
15.2%
제 95
14.5%
도 48
 
7.4%
특 47
 
7.2%
별 47
 
7.2%
자 47
 
7.2%
치 47
 
7.2%
시 47
 
7.2%
로 34
 
5.2%
길 21
 
3.2%
Other values (50) 121
18.5%
Decimal Number
ValueCountFrequency (%)
1 37
24.7%
2 20
13.3%
3 18
12.0%
0 15
10.0%
5 13
 
8.7%
6 12
 
8.0%
4 12
 
8.0%
9 10
 
6.7%
8 7
 
4.7%
7 6
 
4.0%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 653
68.0%
Common 308
32.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 99
15.2%
제 95
14.5%
도 48
 
7.4%
특 47
 
7.2%
별 47
 
7.2%
자 47
 
7.2%
치 47
 
7.2%
시 47
 
7.2%
로 34
 
5.2%
길 21
 
3.2%
Other values (50) 121
18.5%
Common
ValueCountFrequency (%)
149
48.4%
1 37
 
12.0%
2 20
 
6.5%
3 18
 
5.8%
0 15
 
4.9%
5 13
 
4.2%
6 12
 
3.9%
4 12
 
3.9%
9 10
 
3.2%
- 9
 
2.9%
Other values (2) 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 653
68.0%
ASCII 308
32.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
48.4%
1 37
 
12.0%
2 20
 
6.5%
3 18
 
5.8%
0 15
 
4.9%
5 13
 
4.2%
6 12
 
3.9%
4 12
 
3.9%
9 10
 
3.2%
- 9
 
2.9%
Other values (2) 13
 
4.2%
Hangul
ValueCountFrequency (%)
주 99
15.2%
제 95
14.5%
도 48
 
7.4%
특 47
 
7.2%
별 47
 
7.2%
자 47
 
7.2%
치 47
 
7.2%
시 47
 
7.2%
로 34
 
5.2%
길 21
 
3.2%
Other values (50) 121
18.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2021-02-26 00:00:00
Maximum2021-02-26 00:00:00
2023-12-12T13:37:50.320949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:37:50.419802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T13:37:50.823223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승인일자제공주체명제공주체구분전화번호주소
승인일자1.0001.0000.5230.9770.749
제공주체명1.0001.0001.0001.0001.000
제공주체구분0.5231.0001.0000.9181.000
전화번호0.9771.0000.9181.0000.967
주소0.7491.0001.0000.9671.000

Missing values

2023-12-12T13:37:47.220725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:37:47.346896image/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

해당연도승인일자제공주체명제공주체구분전화번호주소데이터기준일자
020202020-11-23남양택시사업자064-728-4963제주특별자치도 제주시 백포남길 11-12021-02-26
120202020-11-23평화라이온즈클럽비공식단체064-728-4963제주특별자치도 제주시 도령로 1282021-02-26
220202020-11-23동제주종합사회복지관 조천읍센터비공식단체064-728-7822제주특별자치도 제주시 조천읍 신북로 501-12021-02-26
320202020-11-23아라온해수사우나사업자064-728-4963제주특별자치도 제주시 일주서로 7592-42021-02-26
420202020-11-13오라동연합청년회비공식단체064-728-4817제주특별자치도 제주시 오라로10길 62021-02-26
520202020-11-13함께하는사랑밭비공식단체064-760-4905제주특별자치도 제주시 서광로 52-42021-02-26
620202020-10-23대한적십자사 제주특별자치도지사비공식단체064-760-4594제주특별자치도 제주시 전농로 72021-02-26
720202020-10-23아나파마취통증의학과의원사업자064-745-1475제주특별자치도 제주시 노형로 4072021-02-26
820202020-10-23동부연합의원사업자064-784-8866제주특별자치도 제주시 구좌읍 일주동로 31132021-02-26
920202020-10-23원불교제주교당비공식단체064-722-5916제주특별자치도 제주시 삼성로11길 3-162021-02-26
해당연도승인일자제공주체명제공주체구분전화번호주소데이터기준일자
3720202020-02-19한국가스기술공사제주LNG지사사업자064-766-5230제주특별자치도 제주시 애월읍 애월해안로 59-382021-02-26
3820202020-02-14일상생활관련 안내 상담 실시개인064-728-8183제주특별자치도 제주시 지석13길 62021-02-26
3920202020-02-14제주보건소사업자064-728-3042제주특별자치도 제주시 연삼로 2642021-02-26
4020202020-02-07빙새기그룹홈비공식단체064-712-1394제주특별자치도 제주시 원노형로 592021-02-26
4120202020-02-04제주도시건설사업자<NA>제주특별자치도 제주시 연북로 6062021-02-26
4220202020-02-04유드림마트 함덕점사업자<NA>제주특별자치도 제주시 조천읍 신북로 5512021-02-26
4320202020-01-21제주시지역사회통합돌봄협력기관사업자064-728-3043제주특별자치도 제주시 광양9길 102021-02-26
4420202020-01-09월드씨엔에스사업자064-753-3001제주특별자치도 제주시 조천읍 남조로1길 1742021-02-26
4520202020-01-09제주시노인장애인과사업자064-728-2551제주특별자치도 제주시 광양9길 102021-02-26
4620202020-01-09일출로타리 클럽비공식단체<NA>제주특별자치도 제주시 오복3길 82021-02-26