Overview

Dataset statistics

Number of variables4
Number of observations138
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory33.0 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 중구 관내 의료기관 현황에 대한 데이터로 의료기관 종류, 기관명, 도로명주소, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15026393/fileData.do

Reproduction

Analysis started2023-12-12 13:45:55.895135
Analysis finished2023-12-12 13:45:56.203400
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관종별
Categorical

Distinct7
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
의원
68 
치과의원
38 
한의원
24 
요양병원
 
4
병원
 
2
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.8115942
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
의원 68
49.3%
치과의원 38
27.5%
한의원 24
 
17.4%
요양병원 4
 
2.9%
병원 2
 
1.4%
한방병원 1
 
0.7%
종합병원 1
 
0.7%

Length

2023-12-12T22:45:56.276070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:45:56.394402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 68
49.3%
치과의원 38
27.5%
한의원 24
 
17.4%
요양병원 4
 
2.9%
병원 2
 
1.4%
한방병원 1
 
0.7%
종합병원 1
 
0.7%

의료기관명
Text

Distinct137
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:45:56.596837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.7246377
Min length4

Characters and Unicode

Total characters1066
Distinct characters204
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)98.6%

Sample

1st row박재홍의원
2nd row영주조은의원
3rd row김상호신경과의원
4th row장진석내과의원
5th row퍼스트안과의원
ValueCountFrequency (%)
중앙치과의원 2
 
1.4%
강남굿모닝의원 1
 
0.7%
최태수치과의원 1
 
0.7%
김창준치과의원 1
 
0.7%
엄상훈치과의원 1
 
0.7%
이상국치과의원 1
 
0.7%
흰치과의원 1
 
0.7%
변창순치과의원 1
 
0.7%
연세치과의원 1
 
0.7%
장&전치과의원 1
 
0.7%
Other values (134) 134
92.4%
2023-12-12T22:45:56.937736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 146
 
13.7%
원 142
 
13.3%
과 89
 
8.3%
치 41
 
3.8%
한 30
 
2.8%
이 16
 
1.5%
비 14
 
1.3%
인 14
 
1.3%
정 13
 
1.2%
성 11
 
1.0%
Other values (194) 550
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1037
97.3%
Space Separator 7
 
0.7%
Decimal Number 6
 
0.6%
Uppercase Letter 6
 
0.6%
Other Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 146
 
14.1%
원 142
 
13.7%
과 89
 
8.6%
치 41
 
4.0%
한 30
 
2.9%
이 16
 
1.5%
비 14
 
1.4%
인 14
 
1.4%
정 13
 
1.3%
성 11
 
1.1%
Other values (182) 521
50.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
S 2
33.3%
L 1
16.7%
J 1
16.7%
Decimal Number
ValueCountFrequency (%)
5 2
33.3%
6 2
33.3%
3 2
33.3%
Space Separator
ValueCountFrequency (%)
7
100.0%
Other Punctuation
ValueCountFrequency (%)
& 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1037
97.3%
Common 22
 
2.1%
Latin 7
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 146
 
14.1%
원 142
 
13.7%
과 89
 
8.6%
치 41
 
4.0%
한 30
 
2.9%
이 16
 
1.5%
비 14
 
1.4%
인 14
 
1.4%
정 13
 
1.3%
성 11
 
1.1%
Other values (182) 521
50.2%
Common
ValueCountFrequency (%)
7
31.8%
& 3
13.6%
) 3
13.6%
( 3
13.6%
5 2
 
9.1%
6 2
 
9.1%
3 2
 
9.1%
Latin
ValueCountFrequency (%)
B 2
28.6%
S 2
28.6%
e 1
14.3%
L 1
14.3%
J 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1037
97.3%
ASCII 29
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 146
 
14.1%
원 142
 
13.7%
과 89
 
8.6%
치 41
 
4.0%
한 30
 
2.9%
이 16
 
1.5%
비 14
 
1.4%
인 14
 
1.4%
정 13
 
1.3%
성 11
 
1.1%
Other values (182) 521
50.2%
ASCII
ValueCountFrequency (%)
7
24.1%
& 3
10.3%
) 3
10.3%
( 3
10.3%
5 2
 
6.9%
6 2
 
6.9%
3 2
 
6.9%
B 2
 
6.9%
S 2
 
6.9%
e 1
 
3.4%
Other values (2) 2
 
6.9%

의료기관주소(도로명)
Text

Distinct116
Distinct (%)84.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:45:57.213445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length35
Mean length25.724638
Min length21

Characters and Unicode

Total characters3550
Distinct characters81
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)76.1%

Sample

1st row부산광역시 중구 해관로 30, 2층 (중앙동2가, 팬스타크루즈프라자)
2nd row부산광역시 중구 대영로 219, 2층 (영주동)
3rd row부산광역시 중구 구덕로 87-1, 3층 (남포동6가)
4th row부산광역시 중구 구덕로 5, 3,4,5층 (남포동1가)
5th row부산광역시 중구 구덕로 5, 6,7층 (남포동1가)
ValueCountFrequency (%)
부산광역시 138
18.7%
중구 138
18.7%
구덕로 35
 
4.7%
대청로 30
 
4.1%
남포동6가 17
 
2.3%
대청동3가 14
 
1.9%
2층 12
 
1.6%
대청동2가 11
 
1.5%
부평동2가 11
 
1.5%
90 10
 
1.4%
Other values (154) 321
43.6%
2023-12-12T22:45:57.618822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
599
 
16.9%
구 186
 
5.2%
광 182
 
5.1%
중 178
 
5.0%
부 159
 
4.5%
동 149
 
4.2%
산 139
 
3.9%
) 139
 
3.9%
( 139
 
3.9%
시 138
 
3.9%
Other values (71) 1542
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2079
58.6%
Space Separator 599
 
16.9%
Decimal Number 510
 
14.4%
Close Punctuation 139
 
3.9%
Open Punctuation 139
 
3.9%
Other Punctuation 57
 
1.6%
Dash Punctuation 24
 
0.7%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 186
 
8.9%
광 182
 
8.8%
중 178
 
8.6%
부 159
 
7.6%
동 149
 
7.2%
산 139
 
6.7%
시 138
 
6.6%
역 138
 
6.6%
로 135
 
6.5%
가 132
 
6.3%
Other values (55) 543
26.1%
Decimal Number
ValueCountFrequency (%)
1 95
18.6%
2 81
15.9%
3 67
13.1%
5 50
9.8%
4 48
9.4%
0 39
7.6%
6 36
 
7.1%
7 33
 
6.5%
9 33
 
6.5%
8 28
 
5.5%
Space Separator
ValueCountFrequency (%)
599
100.0%
Close Punctuation
ValueCountFrequency (%)
) 139
100.0%
Open Punctuation
ValueCountFrequency (%)
( 139
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2079
58.6%
Common 1471
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 186
 
8.9%
광 182
 
8.8%
중 178
 
8.6%
부 159
 
7.6%
동 149
 
7.2%
산 139
 
6.7%
시 138
 
6.6%
역 138
 
6.6%
로 135
 
6.5%
가 132
 
6.3%
Other values (55) 543
26.1%
Common
ValueCountFrequency (%)
599
40.7%
) 139
 
9.4%
( 139
 
9.4%
1 95
 
6.5%
2 81
 
5.5%
3 67
 
4.6%
, 57
 
3.9%
5 50
 
3.4%
4 48
 
3.3%
0 39
 
2.7%
Other values (6) 157
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2079
58.6%
ASCII 1471
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
599
40.7%
) 139
 
9.4%
( 139
 
9.4%
1 95
 
6.5%
2 81
 
5.5%
3 67
 
4.6%
, 57
 
3.9%
5 50
 
3.4%
4 48
 
3.3%
0 39
 
2.7%
Other values (6) 157
 
10.7%
Hangul
ValueCountFrequency (%)
구 186
 
8.9%
광 182
 
8.8%
중 178
 
8.6%
부 159
 
7.6%
동 149
 
7.2%
산 139
 
6.7%
시 138
 
6.6%
역 138
 
6.6%
로 135
 
6.5%
가 132
 
6.3%
Other values (55) 543
26.1%

의료기관전화번호
Text

Distinct137
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:45:57.856019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1656
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

Unique136 ?
Unique (%)98.6%

Sample

1st row051-241-8881
2nd row051-466-5504
3rd row051-254-3500
4th row051-711-8188
5th row051-791-1552
ValueCountFrequency (%)
051-246-0222 2
 
1.4%
051-464-6107 1
 
0.7%
051-465-2875 1
 
0.7%
051-465-2828 1
 
0.7%
051-469-5521 1
 
0.7%
051-254-7713 1
 
0.7%
051-246-5781 1
 
0.7%
051-464-2804 1
 
0.7%
051-243-2275 1
 
0.7%
051-241-8881 1
 
0.7%
Other values (127) 127
92.0%
2023-12-12T22:45:58.183388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 276
16.7%
5 259
15.6%
0 235
14.2%
1 212
12.8%
2 156
9.4%
4 144
8.7%
7 96
 
5.8%
6 85
 
5.1%
8 81
 
4.9%
3 73
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1380
83.3%
Dash Punctuation 276
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 259
18.8%
0 235
17.0%
1 212
15.4%
2 156
11.3%
4 144
10.4%
7 96
 
7.0%
6 85
 
6.2%
8 81
 
5.9%
3 73
 
5.3%
9 39
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 276
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1656
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 276
16.7%
5 259
15.6%
0 235
14.2%
1 212
12.8%
2 156
9.4%
4 144
8.7%
7 96
 
5.8%
6 85
 
5.1%
8 81
 
4.9%
3 73
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1656
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 276
16.7%
5 259
15.6%
0 235
14.2%
1 212
12.8%
2 156
9.4%
4 144
8.7%
7 96
 
5.8%
6 85
 
5.1%
8 81
 
4.9%
3 73
 
4.4%

Missing values

2023-12-12T22:45:56.096562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:45:56.172572image/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

의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
0의원박재홍의원부산광역시 중구 해관로 30, 2층 (중앙동2가, 팬스타크루즈프라자)051-241-8881
1의원영주조은의원부산광역시 중구 대영로 219, 2층 (영주동)051-466-5504
2의원김상호신경과의원부산광역시 중구 구덕로 87-1, 3층 (남포동6가)051-254-3500
3의원장진석내과의원부산광역시 중구 구덕로 5, 3,4,5층 (남포동1가)051-711-8188
4의원퍼스트안과의원부산광역시 중구 구덕로 5, 6,7층 (남포동1가)051-791-1552
5의원남포신용훈내과의원부산광역시 중구 구덕로 40, 6층 (남포동2가)051-715-3100
6의원프롤로의원부산광역시 중구 구덕로 6, 2-5층 (광복동1가)051-246-0222
7의원대항길외과의원부산광역시 중구 구덕로 90, 8층 (남포동6가)051-710-7588
8의원미소안의원부산광역시 중구 구덕로 40, 12층 (남포동2가)051-257-0097
9의원강남굿모닝의원부산광역시 중구 대청로 71, 3층 (보수동1가)051-715-8891
의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
128한의원해광한의원부산광역시 중구 대청로 45 (보수동2가)051-253-7340
129한의원제창한의원부산광역시 중구 흑교로 30 (부평동2가)051-246-3616
130병원건강만세365병원부산광역시 중구 대청로 105 (대청동2가, 건강만세365병원)051-711-0365
131병원굿힐링병원부산광역시 중구 대청로 132-1, 2호 (동광동3가)051-255-0200
132한방병원휘림한방병원부산광역시 중구 중앙대로 26, 6,7,8층 (중앙동6가)051-517-0050
133요양병원의료법인교통문화의료재단 신창요양병원부산광역시 중구 중앙대로 55, 2호 (중앙동2가)051-243-8800
134요양병원의료법인송산의료재단 해양요양병원부산광역시 중구 광복로97번길 26-2, 2층 (동광동2가)051-466-0008
135요양병원심당요양병원부산광역시 중구 동광길 179 (영주1동)051-464-1010
136요양병원의료법인나라의료재단 중앙나라요양병원부산광역시 중구 중앙대로 69 (중앙동3가)051-246-0505
137종합병원재단법인천주교부산교구유지재단 메리놀병원부산광역시 중구 중구로 121 (동광동5가)051-465-8801