Overview

Dataset statistics

Number of variables8
Number of observations217
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory64.6 B

Variable types

Categorical4
Text3
DateTime1

Dataset

Description전라남도내 보건지소(기관명, 소재지, 전화번호, 진료과목, 진료시간 등)에 관한 데이터를 조회하실 수 있습니다.
Author전라남도
URLhttps://www.data.go.kr/data/15037305/fileData.do

Alerts

진료시간 has constant value ""Constant
데이터기준일자 has constant value ""Constant
시군명 is highly overall correlated with 진료과목 and 1 other fieldsHigh correlation
진료과목 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
비고 is highly imbalanced (66.4%)Imbalance

Reproduction

Analysis started2023-12-12 05:27:38.581317
Analysis finished2023-12-12 05:27:39.193593
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
신안군
16 
고흥군
16 
나주시
 
14
해남군
 
13
완도군
 
12
Other values (17)
146 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row목포시
2nd row여수시
3rd row여수시
4th row여수시
5th row여수시

Common Values

ValueCountFrequency (%)
신안군 16
 
7.4%
고흥군 16
 
7.4%
나주시 14
 
6.5%
해남군 13
 
6.0%
완도군 12
 
5.5%
화순군 12
 
5.5%
여수시 12
 
5.5%
담양군 11
 
5.1%
강진군 10
 
4.6%
영암군 10
 
4.6%
Other values (12) 91
41.9%

Length

2023-12-12T14:27:39.596743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신안군 16
 
7.4%
고흥군 16
 
7.4%
나주시 14
 
6.5%
해남군 13
 
6.0%
완도군 12
 
5.5%
화순군 12
 
5.5%
여수시 12
 
5.5%
담양군 11
 
5.1%
보성군 10
 
4.6%
장성군 10
 
4.6%
Other values (12) 91
41.9%

기관명
Text

Distinct211
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T14:27:39.805911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.3824885
Min length6

Characters and Unicode

Total characters1385
Distinct characters162
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique207 ?
Unique (%)95.4%

Sample

1st row하당보건지소
2nd row중부보건지소
3rd row돌산보건지소
4th row우두보건지소
5th row화양보건지소
ValueCountFrequency (%)
보건지소 16
 
6.8%
남면보건지소 4
 
1.7%
군서보건지소 2
 
0.9%
중부보건지소 2
 
0.9%
대덕보건지소 2
 
0.9%
도암보건지소 2
 
0.9%
두원면 2
 
0.9%
미암보건지소 1
 
0.4%
하당보건지소 1
 
0.4%
서호보건지소 1
 
0.4%
Other values (202) 202
86.0%
2023-12-12T14:27:40.150495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 223
16.1%
보 219
15.8%
소 219
15.8%
건 217
15.7%
면 49
 
3.5%
산 26
 
1.9%
21
 
1.5%
도 19
 
1.4%
동 12
 
0.9%
북 11
 
0.8%
Other values (152) 369
26.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1364
98.5%
Space Separator 21
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 223
16.3%
보 219
16.1%
소 219
16.1%
건 217
15.9%
면 49
 
3.6%
산 26
 
1.9%
도 19
 
1.4%
동 12
 
0.9%
북 11
 
0.8%
남 10
 
0.7%
Other values (151) 359
26.3%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1364
98.5%
Common 21
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 223
16.3%
보 219
16.1%
소 219
16.1%
건 217
15.9%
면 49
 
3.6%
산 26
 
1.9%
도 19
 
1.4%
동 12
 
0.9%
북 11
 
0.8%
남 10
 
0.7%
Other values (151) 359
26.3%
Common
ValueCountFrequency (%)
21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1364
98.5%
ASCII 21
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 223
16.3%
보 219
16.1%
소 219
16.1%
건 217
15.9%
면 49
 
3.6%
산 26
 
1.9%
도 19
 
1.4%
동 12
 
0.9%
북 11
 
0.8%
남 10
 
0.7%
Other values (151) 359
26.3%
ASCII
ValueCountFrequency (%)
21
100.0%

소재지 (도로명 주소)
Text

Distinct216
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T14:27:40.423906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.129032
Min length12

Characters and Unicode

Total characters3934
Distinct characters226
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)99.1%

Sample

1st row전남 목포시 석현로 48
2nd row전남 여수시 여서동5길 21-1
3rd row전남 여수시 돌산읍 방답길 55
4th row전남 여수시 돌산읍 강남로 32
5th row전남 여수시 돌산읍 강남로 32
ValueCountFrequency (%)
전남 216
 
21.4%
신안군 16
 
1.6%
해남군 13
 
1.3%
화순군 12
 
1.2%
여수시 12
 
1.2%
완도군 12
 
1.2%
담양군 11
 
1.1%
장성군 10
 
1.0%
강진군 10
 
1.0%
순천시 9
 
0.9%
Other values (568) 686
68.1%
2023-12-12T14:27:40.887397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
793
20.2%
남 250
 
6.4%
전 223
 
5.7%
면 191
 
4.9%
군 182
 
4.6%
1 146
 
3.7%
로 122
 
3.1%
길 103
 
2.6%
2 87
 
2.2%
5 60
 
1.5%
Other values (216) 1777
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2474
62.9%
Space Separator 793
 
20.2%
Decimal Number 615
 
15.6%
Dash Punctuation 48
 
1.2%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 250
 
10.1%
전 223
 
9.0%
면 191
 
7.7%
군 182
 
7.4%
로 122
 
4.9%
길 103
 
4.2%
시 52
 
2.1%
산 49
 
2.0%
도 44
 
1.8%
성 36
 
1.5%
Other values (202) 1222
49.4%
Decimal Number
ValueCountFrequency (%)
1 146
23.7%
2 87
14.1%
5 60
9.8%
3 54
 
8.8%
4 53
 
8.6%
8 48
 
7.8%
6 46
 
7.5%
7 42
 
6.8%
9 40
 
6.5%
0 39
 
6.3%
Space Separator
ValueCountFrequency (%)
793
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2474
62.9%
Common 1460
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 250
 
10.1%
전 223
 
9.0%
면 191
 
7.7%
군 182
 
7.4%
로 122
 
4.9%
길 103
 
4.2%
시 52
 
2.1%
산 49
 
2.0%
도 44
 
1.8%
성 36
 
1.5%
Other values (202) 1222
49.4%
Common
ValueCountFrequency (%)
793
54.3%
1 146
 
10.0%
2 87
 
6.0%
5 60
 
4.1%
3 54
 
3.7%
4 53
 
3.6%
8 48
 
3.3%
- 48
 
3.3%
6 46
 
3.2%
7 42
 
2.9%
Other values (4) 83
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2474
62.9%
ASCII 1460
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
793
54.3%
1 146
 
10.0%
2 87
 
6.0%
5 60
 
4.1%
3 54
 
3.7%
4 53
 
3.6%
8 48
 
3.3%
- 48
 
3.3%
6 46
 
3.2%
7 42
 
2.9%
Other values (4) 83
 
5.7%
Hangul
ValueCountFrequency (%)
남 250
 
10.1%
전 223
 
9.0%
면 191
 
7.7%
군 182
 
7.4%
로 122
 
4.9%
길 103
 
4.2%
시 52
 
2.1%
산 49
 
2.0%
도 44
 
1.8%
성 36
 
1.5%
Other values (202) 1222
49.4%

전화번호
Text

Distinct215
Distinct (%)100.0%
Missing2
Missing (%)0.9%
Memory size1.8 KiB
2023-12-12T14:27:41.170010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.846512
Min length8

Characters and Unicode

Total characters2547
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)100.0%

Sample

1st row061-270-8201
2nd row061-659-4330
3rd row061-659-1036
4th row061-659-5278
5th row061-659-1174
ValueCountFrequency (%)
061-659-1751 1
 
0.5%
061-320-2365 1
 
0.5%
061-472-4342 1
 
0.5%
061-532-1527 1
 
0.5%
061-532-0982 1
 
0.5%
061-462-6532 1
 
0.5%
061-470-6911 1
 
0.5%
061-470-6921 1
 
0.5%
061-470-6933 1
 
0.5%
061-470-2675 1
 
0.5%
Other values (205) 205
95.3%
2023-12-12T14:27:41.686176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 419
16.5%
0 403
15.8%
6 379
14.9%
1 290
11.4%
3 237
9.3%
5 204
8.0%
2 140
 
5.5%
8 136
 
5.3%
7 133
 
5.2%
4 110
 
4.3%
Other values (2) 96
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2120
83.2%
Dash Punctuation 419
 
16.5%
Space Separator 8
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 403
19.0%
6 379
17.9%
1 290
13.7%
3 237
11.2%
5 204
9.6%
2 140
 
6.6%
8 136
 
6.4%
7 133
 
6.3%
4 110
 
5.2%
9 88
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 419
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 419
16.5%
0 403
15.8%
6 379
14.9%
1 290
11.4%
3 237
9.3%
5 204
8.0%
2 140
 
5.5%
8 136
 
5.3%
7 133
 
5.2%
4 110
 
4.3%
Other values (2) 96
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 419
16.5%
0 403
15.8%
6 379
14.9%
1 290
11.4%
3 237
9.3%
5 204
8.0%
2 140
 
5.5%
8 136
 
5.3%
7 133
 
5.2%
4 110
 
4.3%
Other values (2) 96
 
3.8%

진료과목
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
내과
41 
내과, 한의과
15 
내과,외과,소아과
15 
의과, 한의과
15 
일반진료
 
10
Other values (43)
121 

Length

Max length22
Median length19
Mean length7.4654378
Min length2

Unique

Unique14 ?
Unique (%)6.5%

Sample

1st row내과
2nd row내과,한방
3rd row내과, 한방
4th row내과, 한방
5th row내과

Common Values

ValueCountFrequency (%)
내과 41
18.9%
내과, 한의과 15
 
6.9%
내과,외과,소아과 15
 
6.9%
의과, 한의과 15
 
6.9%
일반진료 10
 
4.6%
의과,한의과 9
 
4.1%
의과,치과,한의과 7
 
3.2%
의과. 한의과 7
 
3.2%
내과, 한의과, 보건사업 등 6
 
2.8%
외과, 내과, 소아과, 한의과, 물리치료 6
 
2.8%
Other values (38) 86
39.6%

Length

2023-12-12T14:27:41.912286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
내과 103
25.3%
한의과 79
19.4%
의과 37
 
9.1%
치과 26
 
6.4%
외과 24
 
5.9%
한방 15
 
3.7%
내과,외과,소아과 15
 
3.7%
소아과 13
 
3.2%
일반진료 10
 
2.5%
의과,한의과 9
 
2.2%
Other values (17) 76
18.7%

진료시간
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
09:00_18:00
217 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row09:00_18:00
2nd row09:00_18:00
3rd row09:00_18:00
4th row09:00_18:00
5th row09:00_18:00

Common Values

ValueCountFrequency (%)
09:00_18:00 217
100.0%

Length

2023-12-12T14:27:42.081114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:42.216214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00_18:00 217
100.0%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
188 
도서
24 
연륙
 
4
수요일
 
1

Length

Max length4
Median length4
Mean length3.7373272
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 188
86.6%
도서 24
 
11.1%
연륙 4
 
1.8%
수요일 1
 
0.5%

Length

2023-12-12T14:27:42.347756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:27:42.521585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 188
86.6%
도서 24
 
11.1%
연륙 4
 
1.8%
수요일 1
 
0.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
Minimum2023-08-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T14:27:42.649485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:27:42.754866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T14:27:42.855645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명진료과목비고
시군명1.0000.9800.945
진료과목0.9801.0000.764
비고0.9450.7641.000
2023-12-12T14:27:42.951823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명진료과목비고
시군명1.0000.6880.671
진료과목0.6881.0000.641
비고0.6710.6411.000
2023-12-12T14:27:43.063065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명진료과목비고
시군명1.0000.6880.671
진료과목0.6881.0000.641
비고0.6710.6411.000

Missing values

2023-12-12T14:27:39.008814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:27:39.138708image/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

시군명기관명소재지 (도로명 주소)전화번호진료과목진료시간비고데이터기준일자
0목포시하당보건지소전남 목포시 석현로 48061-270-8201내과09:00_18:00<NA>2023-08-01
1여수시중부보건지소전남 여수시 여서동5길 21-1061-659-4330내과,한방09:00_18:00<NA>2023-08-01
2여수시돌산보건지소전남 여수시 돌산읍 방답길 55061-659-1036내과, 한방09:00_18:00<NA>2023-08-01
3여수시우두보건지소전남 여수시 돌산읍 강남로 32061-659-5278내과, 한방09:00_18:00<NA>2023-08-01
4여수시화양보건지소전남 여수시 돌산읍 강남로 32061-659-1174내과09:00_18:00<NA>2023-08-01
5여수시화정보건지소전남 여수시 화정면 백야해안길 40061-659-1251내과, 한방09:00_18:00<NA>2023-08-01
6여수시상암보건지소전남 여수시 상암로 601-1061-659-1788내과, 한방09:00_18:00<NA>2023-08-01
7여수시동부보건지소전남 여수시 동문로99061-659-4357건강증진사업, 예방접종09:00_18:00<NA>2023-08-01
8여수시남면보건지소전남 여수시 남면 금오로 858061-659-1217내과,치과, 한방09:00_18:00도서2023-08-01
9여수시연도보건지소전남 여수시 남면 연도서부안길 17061-659-1723내과,치과, 한방09:00_18:00도서2023-08-01
시군명기관명소재지 (도로명 주소)전화번호진료과목진료시간비고데이터기준일자
207신안군도초면보건지소전남 신안군 도초면 서남문로 1521-9061-275-2301내과,외과,소아과09:00_18:00도서2023-08-01
208신안군흑산면보건지소전남 신안군 흑산면 흑산일주로 16061-275-9062내과,외과,소아과09:00_18:00도서2023-08-01
209신안군하의면보건지소전남 신안군 하의면 하의로 250061-275-4024내과,외과,소아과09:00_18:00도서2023-08-01
210신안군신의면보건지소전남 신안군 신의면 신의로 661061-271-7024내과,외과,소아과09:00_18:00도서2023-08-01
211신안군장산면보건지소전남 신안군 장산면 장산로 326061-271-2534내과,외과,소아과09:00_18:00도서2023-08-01
212신안군안좌면보건지소전남 신안군 안좌면 중부로 870061-262-4024내과,외과,소아과09:00_18:00연륙2023-08-01
213신안군팔금면보건지소전남 신안군 팔금면 삼층석탑길 144061-271-1024내과,외과,소아과09:00_18:00연륙2023-08-01
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215신안군가거도보건지소전남 신안군 흑산면 가거도길 36061-246-3585내과,외과,소아과09:00_18:00도서2023-08-01
216신안군홍도보건지소전남 신안군 흑산면 홍도1길 65061-246-3701내과,외과,소아과09:00_18:00도서2023-08-01