Overview

Dataset statistics

Number of variables4
Number of observations396
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory32.3 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 남구에 소재하고 있는 의원, 한의원, 치과의원, 병원 의료기관명 ,의료기관 주소, 의료기관 전화번호 자료 제공
Author부산광역시 남구
URLhttps://www.data.go.kr/data/15050536/fileData.do

Reproduction

Analysis started2024-03-14 09:05:53.471807
Analysis finished2024-03-14 09:05:54.423703
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct9
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
의원
182 
치과의원
104 
한의원
90 
요양병원(일반요양병원)
 
8
병원
 
6
Other values (4)
 
6

Length

Max length12
Median length4
Mean length2.9848485
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
의원 182
46.0%
치과의원 104
26.3%
한의원 90
22.7%
요양병원(일반요양병원) 8
 
2.0%
병원 6
 
1.5%
정신병원 3
 
0.8%
한방병원 1
 
0.3%
치과병원 1
 
0.3%
종합병원 1
 
0.3%

Length

2024-03-14T18:05:54.641645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:05:55.001907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 182
46.0%
치과의원 104
26.3%
한의원 90
22.7%
요양병원(일반요양병원 8
 
2.0%
병원 6
 
1.5%
정신병원 3
 
0.8%
한방병원 1
 
0.3%
치과병원 1
 
0.3%
종합병원 1
 
0.3%

의료기관명
Text

Distinct395
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T18:05:55.762520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.7121212
Min length3

Characters and Unicode

Total characters3054
Distinct characters319
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

Unique394 ?
Unique (%)99.5%

Sample

1st row부산성소병원
2nd row부산아동병원
3rd row위대항병원
4th row의료법인고려의료재단부산고려병원
5th row의료법인정화의료재단봉생힐링병원
ValueCountFrequency (%)
의원 20
 
4.5%
한의원 12
 
2.7%
치과의원 5
 
1.1%
로덴치과의원 2
 
0.4%
신일치과의원 1
 
0.2%
오즈어린이치과의원 1
 
0.2%
오아시스치과의원 1
 
0.2%
염정배치과 1
 
0.2%
연세치과 1
 
0.2%
연 1
 
0.2%
Other values (401) 401
89.9%
2024-03-14T18:05:57.037482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 413
 
13.5%
원 402
 
13.2%
과 249
 
8.2%
한 111
 
3.6%
치 110
 
3.6%
이 54
 
1.8%
50
 
1.6%
정 49
 
1.6%
인 39
 
1.3%
대 39
 
1.3%
Other values (309) 1538
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2967
97.2%
Space Separator 50
 
1.6%
Decimal Number 18
 
0.6%
Uppercase Letter 10
 
0.3%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Other Punctuation 2
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 413
 
13.9%
원 402
 
13.5%
과 249
 
8.4%
한 111
 
3.7%
치 110
 
3.7%
이 54
 
1.8%
정 49
 
1.7%
인 39
 
1.3%
대 39
 
1.3%
부 38
 
1.3%
Other values (289) 1463
49.3%
Uppercase Letter
ValueCountFrequency (%)
H 2
20.0%
W 2
20.0%
C 1
10.0%
F 1
10.0%
B 1
10.0%
I 1
10.0%
E 1
10.0%
T 1
10.0%
Decimal Number
ValueCountFrequency (%)
5 5
27.8%
3 4
22.2%
6 4
22.2%
4 2
 
11.1%
8 2
 
11.1%
0 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2967
97.2%
Common 76
 
2.5%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 413
 
13.9%
원 402
 
13.5%
과 249
 
8.4%
한 111
 
3.7%
치 110
 
3.7%
이 54
 
1.8%
정 49
 
1.7%
인 39
 
1.3%
대 39
 
1.3%
부 38
 
1.3%
Other values (289) 1463
49.3%
Common
ValueCountFrequency (%)
50
65.8%
5 5
 
6.6%
3 4
 
5.3%
6 4
 
5.3%
( 3
 
3.9%
) 3
 
3.9%
4 2
 
2.6%
8 2
 
2.6%
, 1
 
1.3%
. 1
 
1.3%
Latin
ValueCountFrequency (%)
H 2
18.2%
W 2
18.2%
C 1
9.1%
F 1
9.1%
B 1
9.1%
I 1
9.1%
E 1
9.1%
T 1
9.1%
e 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2967
97.2%
ASCII 87
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 413
 
13.9%
원 402
 
13.5%
과 249
 
8.4%
한 111
 
3.7%
치 110
 
3.7%
이 54
 
1.8%
정 49
 
1.7%
인 39
 
1.3%
대 39
 
1.3%
부 38
 
1.3%
Other values (289) 1463
49.3%
ASCII
ValueCountFrequency (%)
50
57.5%
5 5
 
5.7%
3 4
 
4.6%
6 4
 
4.6%
( 3
 
3.4%
) 3
 
3.4%
H 2
 
2.3%
4 2
 
2.3%
8 2
 
2.3%
W 2
 
2.3%
Other values (10) 10
 
11.5%

의료기관주소(도로명)
Text

Distinct385
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T18:05:58.059596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length47
Mean length30.305556
Min length20

Characters and Unicode

Total characters12001
Distinct characters232
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique374 ?
Unique (%)94.4%

Sample

1st row부산광역시 남구 수영로 175 (대연동, SMG빌딩)
2nd row부산광역시 남구 수영로 228, 3-7층 (대연동)
3rd row부산광역시 남구 수영로 241 (대연동)
4th row부산광역시 남구 수영로 238 (대연동)
5th row부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)
ValueCountFrequency (%)
부산광역시 396
 
15.7%
남구 396
 
15.7%
대연동 208
 
8.2%
수영로 166
 
6.6%
용호동 112
 
4.4%
2층 69
 
2.7%
용호로 66
 
2.6%
문현동 47
 
1.9%
3층 40
 
1.6%
분포로 29
 
1.1%
Other values (479) 1000
39.5%
2024-03-14T18:05:59.633374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2135
 
17.8%
동 453
 
3.8%
로 415
 
3.5%
시 414
 
3.4%
부 412
 
3.4%
남 409
 
3.4%
, 407
 
3.4%
산 404
 
3.4%
) 403
 
3.4%
( 402
 
3.3%
Other values (222) 6147
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6637
55.3%
Space Separator 2135
 
17.8%
Decimal Number 1869
 
15.6%
Other Punctuation 409
 
3.4%
Close Punctuation 403
 
3.4%
Open Punctuation 402
 
3.3%
Uppercase Letter 84
 
0.7%
Dash Punctuation 42
 
0.3%
Lowercase Letter 13
 
0.1%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 453
 
6.8%
로 415
 
6.3%
시 414
 
6.2%
부 412
 
6.2%
남 409
 
6.2%
산 404
 
6.1%
광 397
 
6.0%
역 396
 
6.0%
구 396
 
6.0%
호 299
 
4.5%
Other values (182) 2642
39.8%
Uppercase Letter
ValueCountFrequency (%)
A 12
14.3%
I 8
9.5%
S 8
9.5%
V 7
 
8.3%
K 6
 
7.1%
L 6
 
7.1%
G 6
 
7.1%
E 4
 
4.8%
B 4
 
4.8%
W 4
 
4.8%
Other values (9) 19
22.6%
Decimal Number
ValueCountFrequency (%)
1 365
19.5%
2 348
18.6%
3 254
13.6%
0 225
12.0%
4 186
10.0%
5 139
 
7.4%
6 103
 
5.5%
7 91
 
4.9%
9 84
 
4.5%
8 74
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
l 6
46.2%
s 3
23.1%
i 3
23.1%
e 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 407
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6637
55.3%
Common 5267
43.9%
Latin 97
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 453
 
6.8%
로 415
 
6.3%
시 414
 
6.2%
부 412
 
6.2%
남 409
 
6.2%
산 404
 
6.1%
광 397
 
6.0%
역 396
 
6.0%
구 396
 
6.0%
호 299
 
4.5%
Other values (182) 2642
39.8%
Latin
ValueCountFrequency (%)
A 12
 
12.4%
I 8
 
8.2%
S 8
 
8.2%
V 7
 
7.2%
K 6
 
6.2%
L 6
 
6.2%
l 6
 
6.2%
G 6
 
6.2%
E 4
 
4.1%
B 4
 
4.1%
Other values (13) 30
30.9%
Common
ValueCountFrequency (%)
2135
40.5%
, 407
 
7.7%
) 403
 
7.7%
( 402
 
7.6%
1 365
 
6.9%
2 348
 
6.6%
3 254
 
4.8%
0 225
 
4.3%
4 186
 
3.5%
5 139
 
2.6%
Other values (7) 403
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6637
55.3%
ASCII 5364
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2135
39.8%
, 407
 
7.6%
) 403
 
7.5%
( 402
 
7.5%
1 365
 
6.8%
2 348
 
6.5%
3 254
 
4.7%
0 225
 
4.2%
4 186
 
3.5%
5 139
 
2.6%
Other values (30) 500
 
9.3%
Hangul
ValueCountFrequency (%)
동 453
 
6.8%
로 415
 
6.3%
시 414
 
6.2%
부 412
 
6.2%
남 409
 
6.2%
산 404
 
6.1%
광 397
 
6.0%
역 396
 
6.0%
구 396
 
6.0%
호 299
 
4.5%
Other values (182) 2642
39.8%

의료기관전화번호
Text

Distinct394
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T18:06:00.724946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.916667
Min length8

Characters and Unicode

Total characters4719
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique392 ?
Unique (%)99.0%

Sample

1st row051-633-1123~5
2nd row051-612-7582
3rd row051-928-9000
4th row051-930-3000
5th row051-668-6000
ValueCountFrequency (%)
051-626-1959 2
 
0.5%
051-636-1395 2
 
0.5%
051-612-0677 1
 
0.3%
051-791-2822 1
 
0.3%
051)627-0275 1
 
0.3%
051-627-2935 1
 
0.3%
051-929-2875 1
 
0.3%
051-621-0082 1
 
0.3%
051-506-2875 1
 
0.3%
051-991-0022 1
 
0.3%
Other values (384) 384
97.0%
2024-03-14T18:06:02.184577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 776
16.4%
1 707
15.0%
0 644
13.6%
5 622
13.2%
6 454
9.6%
2 435
9.2%
7 338
7.2%
8 237
 
5.0%
3 219
 
4.6%
4 147
 
3.1%
Other values (4) 140
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3931
83.3%
Dash Punctuation 776
 
16.4%
Math Symbol 7
 
0.1%
Close Punctuation 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 707
18.0%
0 644
16.4%
5 622
15.8%
6 454
11.5%
2 435
11.1%
7 338
8.6%
8 237
 
6.0%
3 219
 
5.6%
4 147
 
3.7%
9 128
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 776
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4719
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 776
16.4%
1 707
15.0%
0 644
13.6%
5 622
13.2%
6 454
9.6%
2 435
9.2%
7 338
7.2%
8 237
 
5.0%
3 219
 
4.6%
4 147
 
3.1%
Other values (4) 140
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4719
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 776
16.4%
1 707
15.0%
0 644
13.6%
5 622
13.2%
6 454
9.6%
2 435
9.2%
7 338
7.2%
8 237
 
5.0%
3 219
 
4.6%
4 147
 
3.1%
Other values (4) 140
 
3.0%

Missing values

2024-03-14T18:05:54.021022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:05:54.307397image/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

업종의료기관명의료기관주소(도로명)의료기관전화번호
0병원부산성소병원부산광역시 남구 수영로 175 (대연동, SMG빌딩)051-633-1123~5
1병원부산아동병원부산광역시 남구 수영로 228, 3-7층 (대연동)051-612-7582
2병원위대항병원부산광역시 남구 수영로 241 (대연동)051-928-9000
3병원의료법인고려의료재단부산고려병원부산광역시 남구 수영로 238 (대연동)051-930-3000
4병원의료법인정화의료재단봉생힐링병원부산광역시 남구 양지골로 241, 감만동 봉생 제3병원 (감만동)051-668-6000
5병원파크사이드재활의학병원부산광역시 남구 유엔평화로125번길 11-10 (대연동)051-629-8000
6한방병원부산더존한방병원부산광역시 남구 수영로 305, 스파크 4, 지하1(일부)층 (대연동)051-791-0870
7치과병원우리들40플란트치과병원부산광역시 남구 전포대로 90, 4층, 401, 402호 (문현동)051-633-2875
8요양병원(일반요양병원)그랜드자연요양병원부산광역시 남구 황령대로 355-14 (대연동)051-612-0075
9요양병원(일반요양병원)새라새요양병원부산광역시 남구 석포로26번길 17 (감만동)051-628-6005
업종의료기관명의료기관주소(도로명)의료기관전화번호
386한의원해수한의원부산광역시 남구 유엔평화로143번길 7 (용당동)051-626-5337
387한의원향기로운 한의원부산광역시 남구 못골로12번길 35, 5층 501~503호 (대연동)051-636-1395
388한의원허균한의원부산광역시 남구 수영로 283, 103동 1층 104호 (대연동, 벽산e-솔렌스힐)051-636-1395
389한의원현창한의원부산광역시 남구 수영로 21, 2층 (문현동)051-638-7900
390한의원혜산한의원부산광역시 남구 수영로 74-5, 109호 (문현동, 무학프라자)051-643-0975
391한의원혜인 한의원부산광역시 남구 수영로 256 (대연동)051-628-5213
392한의원호랑한의원부산광역시 남구 수영로 243-1, 1층 (대연동)051-710-8582
393한의원호박한의원부산광역시 남구 용호로 147, 6,7층 (용호동, 종합검진센타)051-621-0617
394한의원화목한의원부산광역시 남구 동명로146번길 70, 늘푸른학원 2층 (용호동)051-612-1076
395한의원효성한의원부산광역시 남구 용호로 153, 1층 (용호동)051-710-1875