Overview

Dataset statistics

Number of variables4
Number of observations399
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory32.3 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시남구_의료기관현황_20230617
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050536

Reproduction

Analysis started2023-12-10 16:52:51.364155
Analysis finished2023-12-10 16:52:51.997857
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
의원
184 
치과의원
105 
한의원
90 
병원
20 

Length

Max length4
Median length2
Mean length2.7518797
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 184
46.1%
치과의원 105
26.3%
한의원 90
22.6%
병원 20
 
5.0%

Length

2023-12-11T01:52:52.098879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:52.275869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 184
46.1%
치과의원 105
26.3%
한의원 90
22.6%
병원 20
 
5.0%

의료기관명
Text

Distinct398
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:52:52.591940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length7.6942356
Min length3

Characters and Unicode

Total characters3070
Distinct characters320
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

Unique397 ?
Unique (%)99.5%

Sample

1st row의료법인정화의료재단봉생힐링병원
2nd row우리들40플란트치과병원
3rd row의료법인은경의료재단 인창대연요양병원
4th row새라새요양병원
5th row임해누리의료소비자생활협동조합 오륙도요양병원
ValueCountFrequency (%)
의원 21
 
4.7%
한의원 13
 
2.9%
치과의원 5
 
1.1%
로덴치과의원 2
 
0.4%
미소플란트치과의원 1
 
0.2%
다솜부부치과의원 1
 
0.2%
참좋은치과의원 1
 
0.2%
한마음치과의원 1
 
0.2%
수부부치과의원 1
 
0.2%
고려치과의원 1
 
0.2%
Other values (404) 404
89.6%
2023-12-11T01:52:53.173291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 416
 
13.6%
원 405
 
13.2%
과 252
 
8.2%
치 112
 
3.6%
한 111
 
3.6%
이 54
 
1.8%
52
 
1.7%
정 47
 
1.5%
대 39
 
1.3%
인 39
 
1.3%
Other values (310) 1543
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2984
97.2%
Space Separator 52
 
1.7%
Decimal Number 15
 
0.5%
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 416
 
13.9%
원 405
 
13.6%
과 252
 
8.4%
치 112
 
3.8%
한 111
 
3.7%
이 54
 
1.8%
정 47
 
1.6%
대 39
 
1.3%
인 39
 
1.3%
부 38
 
1.3%
Other values (290) 1471
49.3%
Uppercase Letter
ValueCountFrequency (%)
W 2
20.0%
H 2
20.0%
C 1
10.0%
F 1
10.0%
I 1
10.0%
B 1
10.0%
E 1
10.0%
T 1
10.0%
Decimal Number
ValueCountFrequency (%)
5 4
26.7%
6 3
20.0%
3 3
20.0%
4 2
13.3%
8 2
13.3%
0 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
52
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 2984
97.2%
Common 75
 
2.4%
Latin 11
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 416
 
13.9%
원 405
 
13.6%
과 252
 
8.4%
치 112
 
3.8%
한 111
 
3.7%
이 54
 
1.8%
정 47
 
1.6%
대 39
 
1.3%
인 39
 
1.3%
부 38
 
1.3%
Other values (290) 1471
49.3%
Common
ValueCountFrequency (%)
52
69.3%
5 4
 
5.3%
6 3
 
4.0%
3 3
 
4.0%
( 3
 
4.0%
) 3
 
4.0%
4 2
 
2.7%
8 2
 
2.7%
, 1
 
1.3%
0 1
 
1.3%
Latin
ValueCountFrequency (%)
W 2
18.2%
H 2
18.2%
e 1
9.1%
C 1
9.1%
F 1
9.1%
I 1
9.1%
B 1
9.1%
E 1
9.1%
T 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2984
97.2%
ASCII 86
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 416
 
13.9%
원 405
 
13.6%
과 252
 
8.4%
치 112
 
3.8%
한 111
 
3.7%
이 54
 
1.8%
정 47
 
1.6%
대 39
 
1.3%
인 39
 
1.3%
부 38
 
1.3%
Other values (290) 1471
49.3%
ASCII
ValueCountFrequency (%)
52
60.5%
5 4
 
4.7%
6 3
 
3.5%
3 3
 
3.5%
( 3
 
3.5%
) 3
 
3.5%
4 2
 
2.3%
W 2
 
2.3%
8 2
 
2.3%
H 2
 
2.3%
Other values (10) 10
 
11.6%

의료기관주소(도로명)
Text

Distinct386
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:52:53.691468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length48
Mean length30.037594
Min length20

Characters and Unicode

Total characters11985
Distinct characters229
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

Unique373 ?
Unique (%)93.5%

Sample

1st row부산광역시 남구 양지골로 241, 감만동 봉생 제 3병원 (감만동)
2nd row부산광역시 남구 전포대로 90, 4층 401,402호 (문현동)
3rd row부산광역시 남구 수영로 164 (대연동)
4th row부산광역시 남구 석포로26번길 17 (감만동)
5th row부산광역시 남구 용호로 132, 용성빌딩3,4층 (용호동)
ValueCountFrequency (%)
부산광역시 399
15.8%
남구 399
15.8%
대연동 209
 
8.3%
수영로 169
 
6.7%
용호동 110
 
4.3%
2층 69
 
2.7%
용호로 66
 
2.6%
문현동 49
 
1.9%
3층 39
 
1.5%
분포로 28
 
1.1%
Other values (478) 993
39.2%
2023-12-11T01:52:54.274740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2133
 
17.8%
동 455
 
3.8%
로 418
 
3.5%
시 417
 
3.5%
부 415
 
3.5%
남 413
 
3.4%
산 407
 
3.4%
) 405
 
3.4%
( 404
 
3.4%
광 401
 
3.3%
Other values (219) 6117
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6643
55.4%
Space Separator 2133
 
17.8%
Decimal Number 1854
 
15.5%
Close Punctuation 405
 
3.4%
Open Punctuation 404
 
3.4%
Other Punctuation 398
 
3.3%
Uppercase Letter 84
 
0.7%
Dash Punctuation 44
 
0.4%
Lowercase Letter 13
 
0.1%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 455
 
6.8%
로 418
 
6.3%
시 417
 
6.3%
부 415
 
6.2%
남 413
 
6.2%
산 407
 
6.1%
광 401
 
6.0%
구 399
 
6.0%
역 399
 
6.0%
호 294
 
4.4%
Other values (179) 2625
39.5%
Uppercase Letter
ValueCountFrequency (%)
A 12
14.3%
S 8
9.5%
I 8
9.5%
V 7
 
8.3%
K 6
 
7.1%
L 6
 
7.1%
G 6
 
7.1%
B 4
 
4.8%
E 4
 
4.8%
W 4
 
4.8%
Other values (9) 19
22.6%
Decimal Number
ValueCountFrequency (%)
1 369
19.9%
2 343
18.5%
3 250
13.5%
0 220
11.9%
4 181
9.8%
5 139
 
7.5%
6 103
 
5.6%
7 93
 
5.0%
9 83
 
4.5%
8 73
 
3.9%
Lowercase Letter
ValueCountFrequency (%)
l 6
46.2%
s 3
23.1%
i 3
23.1%
e 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 396
99.5%
. 2
 
0.5%
Space Separator
ValueCountFrequency (%)
2133
100.0%
Close Punctuation
ValueCountFrequency (%)
) 405
100.0%
Open Punctuation
ValueCountFrequency (%)
( 404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6643
55.4%
Common 5245
43.8%
Latin 97
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 455
 
6.8%
로 418
 
6.3%
시 417
 
6.3%
부 415
 
6.2%
남 413
 
6.2%
산 407
 
6.1%
광 401
 
6.0%
구 399
 
6.0%
역 399
 
6.0%
호 294
 
4.4%
Other values (179) 2625
39.5%
Latin
ValueCountFrequency (%)
A 12
 
12.4%
S 8
 
8.2%
I 8
 
8.2%
V 7
 
7.2%
K 6
 
6.2%
L 6
 
6.2%
l 6
 
6.2%
G 6
 
6.2%
B 4
 
4.1%
E 4
 
4.1%
Other values (13) 30
30.9%
Common
ValueCountFrequency (%)
2133
40.7%
) 405
 
7.7%
( 404
 
7.7%
, 396
 
7.6%
1 369
 
7.0%
2 343
 
6.5%
3 250
 
4.8%
0 220
 
4.2%
4 181
 
3.5%
5 139
 
2.7%
Other values (7) 405
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6643
55.4%
ASCII 5342
44.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2133
39.9%
) 405
 
7.6%
( 404
 
7.6%
, 396
 
7.4%
1 369
 
6.9%
2 343
 
6.4%
3 250
 
4.7%
0 220
 
4.1%
4 181
 
3.4%
5 139
 
2.6%
Other values (30) 502
 
9.4%
Hangul
ValueCountFrequency (%)
동 455
 
6.8%
로 418
 
6.3%
시 417
 
6.3%
부 415
 
6.2%
남 413
 
6.2%
산 407
 
6.1%
광 401
 
6.0%
구 399
 
6.0%
역 399
 
6.0%
호 294
 
4.4%
Other values (179) 2625
39.5%

의료기관전화번호
Text

Distinct398
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-12-11T01:52:54.486992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.037594
Min length9

Characters and Unicode

Total characters4803
Distinct characters15
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

Unique397 ?
Unique (%)99.5%

Sample

1st row051-668-6000
2nd row051-633-2875
3rd row051-774-1004
4th row051-628-6005
5th row051-647-7007
ValueCountFrequency (%)
051-626-1959 2
 
0.5%
051-622-7575 1
 
0.3%
051-628-8020 1
 
0.3%
051-611-0050 1
 
0.3%
051-628-6111 1
 
0.3%
051-642-2875 1
 
0.3%
051-623-7553 1
 
0.3%
051-621-0082 1
 
0.3%
051-626-2879 1
 
0.3%
051-621-2804 1
 
0.3%
Other values (388) 388
97.2%
2023-12-11T01:52:54.854122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 797
16.6%
1 721
15.0%
0 657
13.7%
5 639
13.3%
6 461
9.6%
2 438
9.1%
7 347
7.2%
8 238
 
5.0%
3 218
 
4.5%
4 150
 
3.1%
Other values (5) 137
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3996
83.2%
Dash Punctuation 797
 
16.6%
Math Symbol 7
 
0.1%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 721
18.0%
0 657
16.4%
5 639
16.0%
6 461
11.5%
2 438
11.0%
7 347
8.7%
8 238
 
6.0%
3 218
 
5.5%
4 150
 
3.8%
9 127
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
* 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 797
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4803
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 797
16.6%
1 721
15.0%
0 657
13.7%
5 639
13.3%
6 461
9.6%
2 438
9.1%
7 347
7.2%
8 238
 
5.0%
3 218
 
4.5%
4 150
 
3.1%
Other values (5) 137
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4803
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 797
16.6%
1 721
15.0%
0 657
13.7%
5 639
13.3%
6 461
9.6%
2 438
9.1%
7 347
7.2%
8 238
 
5.0%
3 218
 
4.5%
4 150
 
3.1%
Other values (5) 137
 
2.9%

Missing values

2023-12-11T01:52:51.833319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:51.950182image/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
0병원의료법인정화의료재단봉생힐링병원부산광역시 남구 양지골로 241, 감만동 봉생 제 3병원 (감만동)051-668-6000
1병원우리들40플란트치과병원부산광역시 남구 전포대로 90, 4층 401,402호 (문현동)051-633-2875
2병원의료법인은경의료재단 인창대연요양병원부산광역시 남구 수영로 164 (대연동)051-774-1004
3병원새라새요양병원부산광역시 남구 석포로26번길 17 (감만동)051-628-6005
4병원임해누리의료소비자생활협동조합 오륙도요양병원부산광역시 남구 용호로 132, 용성빌딩3,4층 (용호동)051-647-7007
5병원제니스파크요양병원부산광역시 남구 우암양달로75번길 29 (우암동)051-644-7733
6병원위대항병원부산광역시 남구 수영로 241 (대연동)051-928-9000
7병원용당요양병원부산광역시 남구 신선로 429 (용당동)051-625-3001
8병원부산성소병원부산광역시 남구 수영로 175 (대연동, SMG빌딩)051-633-1123
9병원부산아동병원부산광역시 남구 수영로 228, 3-7층 (대연동)051-612-7582
업종의료기관명의료기관주소(도로명)의료기관전화번호
389한의원국전경희한의원부산광역시 남구 용호로178번길 3 (용호동)051-626-1215
390한의원몸맘소생한의원부산광역시 남구 우암로 148(우암동)051-636-3160
391한의원대영한의원부산광역시 남구 못골로 18, 2층 (대연동)051-646-6060
392한의원오복 한의원부산광역시 남구 수영로 203, 대연 메디칼센터 2층 (대연동)051-622-4181
393한의원김종환한의원부산광역시 남구 동명로 137 (용호동)051-626-5880
394한의원정상신한의원부산광역시 남구 우암로 168, 2층 (우암동)051-631-0210
395한의원동천 한의원부산광역시 남구 용호로 100 (용호동)051-611-2080
396한의원혜인 한의원부산광역시 남구 수영로 256 (대연동)051-628-5213
397한의원덕산 한의원부산광역시 남구 천제등로 24 (대연동)051-647-0007
398한의원인일한의원부산광역시 남구 용호로 203 (용호동)051-623-6938