Overview

Dataset statistics

Number of variables7
Number of observations67
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory58.0 B

Variable types

Categorical1
Text5
DateTime1

Dataset

Description제주특별자치도 내에 소재하고 있는 보건소 및 보건지소와 관련한 데이터로 주소, 전화번호, 팩스번호, 상세위치 등의 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056006/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
팩스번호 has 2 (3.0%) missing valuesMissing
보건소명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:35:49.848712
Analysis finished2023-12-12 05:35:50.713024
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
보건진료소
48 
보건지소
11 
보건소
6 
건강생활지원센터
 
2

Length

Max length8
Median length5
Mean length4.7462687
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
보건진료소 48
71.6%
보건지소 11
 
16.4%
보건소 6
 
9.0%
건강생활지원센터 2
 
3.0%

Length

2023-12-12T14:35:50.806600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:35:50.941006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 48
71.6%
보건지소 11
 
16.4%
보건소 6
 
9.0%
건강생활지원센터 2
 
3.0%

보건소명
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:35:51.209533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length2
Mean length4.8358209
Min length2

Characters and Unicode

Total characters324
Distinct characters96
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

Unique67 ?
Unique (%)100.0%

Sample

1st row제주시 제주보건소
2nd row제주시 동부보건소
3rd row제주시 서부보건소
4th row서귀포시 서귀포보건소
5th row서귀포시 동부보건소
ValueCountFrequency (%)
제주시 9
 
9.5%
서귀포시 8
 
8.4%
동부 5
 
5.3%
서부 3
 
3.2%
동부보건소 2
 
2.1%
선흘 2
 
2.1%
서부보건소 2
 
2.1%
신평 1
 
1.1%
한남 1
 
1.1%
2 1
 
1.1%
Other values (61) 61
64.2%
2023-12-12T14:35:51.654335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
8.6%
건 19
 
5.9%
시 18
 
5.6%
서 17
 
5.2%
보 17
 
5.2%
소 17
 
5.2%
지 14
 
4.3%
부 12
 
3.7%
주 11
 
3.4%
제 11
 
3.4%
Other values (86) 160
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
90.7%
Space Separator 28
 
8.6%
Decimal Number 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 19
 
6.5%
시 18
 
6.1%
서 17
 
5.8%
보 17
 
5.8%
소 17
 
5.8%
지 14
 
4.8%
부 12
 
4.1%
주 11
 
3.7%
제 11
 
3.7%
귀 10
 
3.4%
Other values (83) 148
50.3%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
90.7%
Common 30
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 19
 
6.5%
시 18
 
6.1%
서 17
 
5.8%
보 17
 
5.8%
소 17
 
5.8%
지 14
 
4.8%
부 12
 
4.1%
주 11
 
3.7%
제 11
 
3.7%
귀 10
 
3.4%
Other values (83) 148
50.3%
Common
ValueCountFrequency (%)
28
93.3%
1 1
 
3.3%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
90.7%
ASCII 30
 
9.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
93.3%
1 1
 
3.3%
2 1
 
3.3%
Hangul
ValueCountFrequency (%)
건 19
 
6.5%
시 18
 
6.1%
서 17
 
5.8%
보 17
 
5.8%
소 17
 
5.8%
지 14
 
4.8%
부 12
 
4.1%
주 11
 
3.7%
제 11
 
3.7%
귀 10
 
3.4%
Other values (83) 148
50.3%

주소
Text

Distinct66
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:35:52.060059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.641791
Min length18

Characters and Unicode

Total characters1651
Distinct characters113
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

Unique65 ?
Unique (%)97.0%

Sample

1st row제주특별자치도 제주시 연삼로 264
2nd row제주특별자치도 제주시 구좌읍 김녕로14길 6
3rd row제주특별자치도 제주시 한림읍 강구로 5
4th row제주특별자치도 서귀포시 중앙로101번길 52
5th row제주특별자치도 서귀포시 남원읍 태위로 527
ValueCountFrequency (%)
제주특별자치도 67
20.4%
제주시 34
 
10.3%
서귀포시 33
 
10.0%
애월읍 8
 
2.4%
성산읍 7
 
2.1%
대정읍 7
 
2.1%
중산간서로 6
 
1.8%
한경면 6
 
1.8%
안덕면 6
 
1.8%
조천읍 5
 
1.5%
Other values (123) 150
45.6%
2023-12-12T14:35:52.684723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
15.9%
제 102
 
6.2%
주 102
 
6.2%
자 72
 
4.4%
도 71
 
4.3%
시 68
 
4.1%
특 67
 
4.1%
별 67
 
4.1%
치 67
 
4.1%
로 60
 
3.6%
Other values (103) 713
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1159
70.2%
Space Separator 262
 
15.9%
Decimal Number 217
 
13.1%
Dash Punctuation 13
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 102
 
8.8%
주 102
 
8.8%
자 72
 
6.2%
도 71
 
6.1%
시 68
 
5.9%
특 67
 
5.8%
별 67
 
5.8%
치 67
 
5.8%
로 60
 
5.2%
읍 43
 
3.7%
Other values (91) 440
38.0%
Decimal Number
ValueCountFrequency (%)
1 54
24.9%
2 39
18.0%
6 22
10.1%
3 22
10.1%
5 20
 
9.2%
4 19
 
8.8%
0 13
 
6.0%
7 12
 
5.5%
9 8
 
3.7%
8 8
 
3.7%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1159
70.2%
Common 492
29.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 102
 
8.8%
주 102
 
8.8%
자 72
 
6.2%
도 71
 
6.1%
시 68
 
5.9%
특 67
 
5.8%
별 67
 
5.8%
치 67
 
5.8%
로 60
 
5.2%
읍 43
 
3.7%
Other values (91) 440
38.0%
Common
ValueCountFrequency (%)
262
53.3%
1 54
 
11.0%
2 39
 
7.9%
6 22
 
4.5%
3 22
 
4.5%
5 20
 
4.1%
4 19
 
3.9%
0 13
 
2.6%
- 13
 
2.6%
7 12
 
2.4%
Other values (2) 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1159
70.2%
ASCII 492
29.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
53.3%
1 54
 
11.0%
2 39
 
7.9%
6 22
 
4.5%
3 22
 
4.5%
5 20
 
4.1%
4 19
 
3.9%
0 13
 
2.6%
- 13
 
2.6%
7 12
 
2.4%
Other values (2) 16
 
3.3%
Hangul
ValueCountFrequency (%)
제 102
 
8.8%
주 102
 
8.8%
자 72
 
6.2%
도 71
 
6.1%
시 68
 
5.9%
특 67
 
5.8%
별 67
 
5.8%
치 67
 
5.8%
로 60
 
5.2%
읍 43
 
3.7%
Other values (91) 440
38.0%

전화번호
Text

UNIQUE 

Distinct67
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:35:53.005210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters804
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

Unique67 ?
Unique (%)100.0%

Sample

1st row064-728-4000
2nd row064-728-4170
3rd row064-728-4110
4th row064-760-6000
5th row064-760-6100
ValueCountFrequency (%)
064-728-4000 1
 
1.5%
064-728-7315 1
 
1.5%
064-728-7308 1
 
1.5%
064-728-7305 1
 
1.5%
064-783-7304 1
 
1.5%
064-728-7303 1
 
1.5%
064-728-7306 1
 
1.5%
064-728-7302 1
 
1.5%
064-760-6371 1
 
1.5%
064-760-6380 1
 
1.5%
Other values (57) 57
85.1%
2023-12-12T14:35:53.380503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 139
17.3%
- 134
16.7%
0 123
15.3%
7 105
13.1%
4 80
10.0%
3 56
7.0%
2 54
 
6.7%
8 54
 
6.7%
1 32
 
4.0%
5 15
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 670
83.3%
Dash Punctuation 134
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 139
20.7%
0 123
18.4%
7 105
15.7%
4 80
11.9%
3 56
8.4%
2 54
 
8.1%
8 54
 
8.1%
1 32
 
4.8%
5 15
 
2.2%
9 12
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 139
17.3%
- 134
16.7%
0 123
15.3%
7 105
13.1%
4 80
10.0%
3 56
7.0%
2 54
 
6.7%
8 54
 
6.7%
1 32
 
4.0%
5 15
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 139
17.3%
- 134
16.7%
0 123
15.3%
7 105
13.1%
4 80
10.0%
3 56
7.0%
2 54
 
6.7%
8 54
 
6.7%
1 32
 
4.0%
5 15
 
1.9%

팩스번호
Text

MISSING 

Distinct65
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Memory size668.0 B
2023-12-12T14:35:53.606320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters780
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

Unique65 ?
Unique (%)100.0%

Sample

1st row064-753-2358
2nd row064-728-4209
3rd row064-728-4129
4th row064-760-6019
5th row064-764-3945
ValueCountFrequency (%)
064-787-2388 1
 
1.5%
064-784-9595 1
 
1.5%
064-764-4881 1
 
1.5%
064-782-0245 1
 
1.5%
064-728-8795 1
 
1.5%
064-782-2193 1
 
1.5%
064-784-2867 1
 
1.5%
064-783-7488 1
 
1.5%
064-728-8791 1
 
1.5%
064-767-1908 1
 
1.5%
Other values (55) 55
84.6%
2023-12-12T14:35:53.923684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 130
16.7%
4 112
14.4%
6 97
12.4%
7 97
12.4%
0 84
10.8%
2 64
8.2%
8 56
7.2%
5 44
 
5.6%
9 44
 
5.6%
3 33
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 650
83.3%
Dash Punctuation 130
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 112
17.2%
6 97
14.9%
7 97
14.9%
0 84
12.9%
2 64
9.8%
8 56
8.6%
5 44
 
6.8%
9 44
 
6.8%
3 33
 
5.1%
1 19
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 780
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 130
16.7%
4 112
14.4%
6 97
12.4%
7 97
12.4%
0 84
10.8%
2 64
8.2%
8 56
7.2%
5 44
 
5.6%
9 44
 
5.6%
3 33
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 780
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 130
16.7%
4 112
14.4%
6 97
12.4%
7 97
12.4%
0 84
10.8%
2 64
8.2%
8 56
7.2%
5 44
 
5.6%
9 44
 
5.6%
3 33
 
4.2%

상세위치
Text

Distinct61
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size668.0 B
2023-12-12T14:35:54.194808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length10.671642
Min length4

Characters and Unicode

Total characters715
Distinct characters133
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

Unique59 ?
Unique (%)88.1%

Sample

1st row해당없음
2nd row해당없음
3rd row해당없음
4th row해당없음
5th row해당없음
ValueCountFrequency (%)
옆 8
 
5.3%
동쪽 8
 
5.3%
서쪽 7
 
4.7%
해당없음 6
 
4.0%
앞 6
 
4.0%
동쪽200m 4
 
2.7%
100m 4
 
2.7%
남쪽 4
 
2.7%
50m 3
 
2.0%
뒤 3
 
2.0%
Other values (91) 97
64.7%
2023-12-12T14:35:54.665605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
11.6%
0 53
 
7.4%
소 41
 
5.7%
쪽 37
 
5.2%
무 37
 
5.2%
사 37
 
5.2%
리 32
 
4.5%
m 31
 
4.3%
동 19
 
2.7%
서 13
 
1.8%
Other values (123) 332
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
71.5%
Decimal Number 90
 
12.6%
Space Separator 83
 
11.6%
Lowercase Letter 31
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 41
 
8.0%
쪽 37
 
7.2%
무 37
 
7.2%
사 37
 
7.2%
리 32
 
6.3%
동 19
 
3.7%
서 13
 
2.5%
교 12
 
2.3%
학 10
 
2.0%
당 10
 
2.0%
Other values (114) 263
51.5%
Decimal Number
ValueCountFrequency (%)
0 53
58.9%
1 12
 
13.3%
2 9
 
10.0%
5 8
 
8.9%
3 5
 
5.6%
4 2
 
2.2%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
83
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
71.5%
Common 173
 
24.2%
Latin 31
 
4.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 41
 
8.0%
쪽 37
 
7.2%
무 37
 
7.2%
사 37
 
7.2%
리 32
 
6.3%
동 19
 
3.7%
서 13
 
2.5%
교 12
 
2.3%
학 10
 
2.0%
당 10
 
2.0%
Other values (114) 263
51.5%
Common
ValueCountFrequency (%)
83
48.0%
0 53
30.6%
1 12
 
6.9%
2 9
 
5.2%
5 8
 
4.6%
3 5
 
2.9%
4 2
 
1.2%
8 1
 
0.6%
Latin
ValueCountFrequency (%)
m 31
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
71.5%
ASCII 204
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
83
40.7%
0 53
26.0%
m 31
 
15.2%
1 12
 
5.9%
2 9
 
4.4%
5 8
 
3.9%
3 5
 
2.5%
4 2
 
1.0%
8 1
 
0.5%
Hangul
ValueCountFrequency (%)
소 41
 
8.0%
쪽 37
 
7.2%
무 37
 
7.2%
사 37
 
7.2%
리 32
 
6.3%
동 19
 
3.7%
서 13
 
2.5%
교 12
 
2.3%
학 10
 
2.0%
당 10
 
2.0%
Other values (114) 263
51.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size668.0 B
Minimum2023-07-31 00:00:00
Maximum2023-07-31 00:00:00
2023-12-12T14:35:54.789002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:35:54.917939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T14:35:55.008206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분보건소명주소전화번호팩스번호상세위치
구분1.0001.0000.8581.0001.0001.000
보건소명1.0001.0001.0001.0001.0001.000
주소0.8581.0001.0001.0001.0000.992
전화번호1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000
상세위치1.0001.0000.9921.0001.0001.000

Missing values

2023-12-12T14:35:50.518386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:35:50.657837image/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

구분보건소명주소전화번호팩스번호상세위치데이터기준일자
0보건소제주시 제주보건소제주특별자치도 제주시 연삼로 264064-728-4000064-753-2358해당없음2023-07-31
1보건소제주시 동부보건소제주특별자치도 제주시 구좌읍 김녕로14길 6064-728-4170064-728-4209해당없음2023-07-31
2보건소제주시 서부보건소제주특별자치도 제주시 한림읍 강구로 5064-728-4110064-728-4129해당없음2023-07-31
3보건소서귀포시 서귀포보건소제주특별자치도 서귀포시 중앙로101번길 52064-760-6000064-760-6019해당없음2023-07-31
4보건소서귀포시 동부보건소제주특별자치도 서귀포시 남원읍 태위로 527064-760-6100064-764-3945해당없음2023-07-31
5보건소서귀포시 서부보건소제주특별자치도 서귀포시 대정읍 최남단해안로 15길 12064-760-6200064-760-6219해당없음2023-07-31
6보건지소제주시 제주 추자보건지소제주특별자치도 제주시 추자면 추자로 86064-728-4225064-742-5339추자면사무소 서쪽 300m 부둣가 근처2023-07-31
7보건지소제주시 동부 구좌보건지소제주특별자치도 제주시 구좌읍 세화12길 9064-728-1517064-782-8145제주시 구좌읍사무소 동쪽 400m 구좌의원 뒤2023-07-31
8보건지소제주시 동부 우도보건지소제주특별자치도 제주시 우도면 우도로 153064-728-1518064-784-2645우도면사무소 부지내2023-07-31
9보건지소제주시 동부 조천보건지소제주특별자치도 제주시 조천읍 신북로 264064-728-1516064-783-0403조천읍사무소 동쪽 500m 조천파출소 앞2023-07-31
구분보건소명주소전화번호팩스번호상세위치데이터기준일자
57보건진료소사계제주특별자치도 서귀포시 안덕면 산방로 349064-760-6390064-794-5242사계초등학교 서쪽200m2023-07-31
58보건진료소대평제주특별자치도 서귀포시 안덕면 대평감산로 19064-760-6394064-738-2868대평초등학교서남쪽 100m2023-07-31
59보건진료소상창제주특별자치도 서귀포시 안덕면 한창로145길 11064-760-6393064-794-5244상창리사무소 남쪽2023-07-31
60보건진료소서광동제주특별자치도 서귀포시 안덕면 중산간서로 1811064-760-6391064-794-5243서광초등학교 동쪽100m2023-07-31
61보건진료소서광서제주특별자치도 서귀포시 안덕면 중산간서로 2118064-760-6392064-794-5246화성기업 동쪽2023-07-31
62보건진료소가파제주특별자치도 서귀포시 대정읍 가파로67길 30064-760-6384064-794-5255가파초등학교 동쪽200m2023-07-31
63보건진료소구억제주특별자치도 서귀포시 대정읍 중산간서로 2364064-760-6389064-792-2259구억리노인복지회관 옆2023-07-31
64보건진료소신평제주특별자치도 서귀포시 대정읍 중산간서로 2600064-760-6387064-792-2258신평리사무소 동쪽100m2023-07-31
65보건진료소신도제주특별자치도 서귀포시 대정읍 도원로37064-760-6386064-772-3762신도리사무소 서쪽2023-07-31
66보건진료소마라제주특별자치도 서귀포시 대정읍 마라로101번길 22064-760-6385064-792-2253마라도리사무소2023-07-31