Overview

Dataset statistics

Number of variables4
Number of observations333
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.5 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description부산광역시 수영구 의료기관 현황 공공데이터로 의료기관 구분, 의료기관명, 주소, 전화번호 정보를 제공하고 있다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/3043397/fileData.do

Alerts

의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:56:20.266633
Analysis finished2024-03-14 23:56:21.206253
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관종별
Categorical

Distinct8
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
의원
142 
치과의원
86 
한의원
85 
요양병원(일반요양병원)
 
9
병원
 
6
Other values (3)
 
5

Length

Max length12
Median length4
Mean length3.0720721
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
의원 142
42.6%
치과의원 86
25.8%
한의원 85
25.5%
요양병원(일반요양병원) 9
 
2.7%
병원 6
 
1.8%
종합병원 3
 
0.9%
치과병원 1
 
0.3%
한방병원 1
 
0.3%

Length

2024-03-15T08:56:21.466386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:56:21.856326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 142
42.6%
치과의원 86
25.8%
한의원 85
25.5%
요양병원(일반요양병원 9
 
2.7%
병원 6
 
1.8%
종합병원 3
 
0.9%
치과병원 1
 
0.3%
한방병원 1
 
0.3%

의료기관명
Text

UNIQUE 

Distinct333
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T08:56:22.958841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length7.6636637
Min length3

Characters and Unicode

Total characters2552
Distinct characters295
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)100.0%

Sample

1st row수영어린이병원
2nd row박원욱병원
3rd row상쾌한병원
4th row메트로적추병원
5th row한나병원
ValueCountFrequency (%)
치과의원 23
 
5.9%
한의원 7
 
1.8%
내과의원 4
 
1.0%
이비인후과의원 4
 
1.0%
의원 3
 
0.8%
정신건강의학과의원 2
 
0.5%
의료법인 2
 
0.5%
수영어린이병원 1
 
0.3%
치아사랑치과의원 1
 
0.3%
에이스치과의원 1
 
0.3%
Other values (344) 344
87.8%
2024-03-15T08:56:23.995656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 358
 
14.0%
원 341
 
13.4%
과 202
 
7.9%
한 106
 
4.2%
치 92
 
3.6%
59
 
2.3%
정 47
 
1.8%
이 43
 
1.7%
내 28
 
1.1%
인 28
 
1.1%
Other values (285) 1248
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2474
96.9%
Space Separator 59
 
2.3%
Decimal Number 9
 
0.4%
Uppercase Letter 6
 
0.2%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 358
 
14.5%
원 341
 
13.8%
과 202
 
8.2%
한 106
 
4.3%
치 92
 
3.7%
정 47
 
1.9%
이 43
 
1.7%
내 28
 
1.1%
인 28
 
1.1%
학 27
 
1.1%
Other values (269) 1202
48.6%
Uppercase Letter
ValueCountFrequency (%)
K 1
16.7%
C 1
16.7%
A 1
16.7%
L 1
16.7%
S 1
16.7%
J 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 2
22.2%
5 2
22.2%
6 2
22.2%
1 2
22.2%
0 1
11.1%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
, 1
50.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2474
96.9%
Common 72
 
2.8%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 358
 
14.5%
원 341
 
13.8%
과 202
 
8.2%
한 106
 
4.3%
치 92
 
3.7%
정 47
 
1.9%
이 43
 
1.7%
내 28
 
1.1%
인 28
 
1.1%
학 27
 
1.1%
Other values (269) 1202
48.6%
Common
ValueCountFrequency (%)
59
81.9%
3 2
 
2.8%
5 2
 
2.8%
6 2
 
2.8%
1 2
 
2.8%
& 1
 
1.4%
, 1
 
1.4%
0 1
 
1.4%
) 1
 
1.4%
( 1
 
1.4%
Latin
ValueCountFrequency (%)
K 1
16.7%
C 1
16.7%
A 1
16.7%
L 1
16.7%
S 1
16.7%
J 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2474
96.9%
ASCII 78
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 358
 
14.5%
원 341
 
13.8%
과 202
 
8.2%
한 106
 
4.3%
치 92
 
3.7%
정 47
 
1.9%
이 43
 
1.7%
내 28
 
1.1%
인 28
 
1.1%
학 27
 
1.1%
Other values (269) 1202
48.6%
ASCII
ValueCountFrequency (%)
59
75.6%
3 2
 
2.6%
5 2
 
2.6%
6 2
 
2.6%
1 2
 
2.6%
& 1
 
1.3%
K 1
 
1.3%
C 1
 
1.3%
A 1
 
1.3%
L 1
 
1.3%
Other values (6) 6
 
7.7%

의료기관주소(도로명)
Text

Distinct320
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T08:56:24.867339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length47
Mean length29.735736
Min length21

Characters and Unicode

Total characters9902
Distinct characters156
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique308 ?
Unique (%)92.5%

Sample

1st row부산광역시 수영구 수영로 671, 2층~3층 (광안동)
2nd row부산광역시 수영구 광안로 4, 지하1층,지상5~8층 (광안동, 에스케이뷰상가)
3rd row부산광역시 수영구 연수로 406(광안동)
4th row부산광역시 수영구 수영로 390-1 (남천동)
5th row부산광역시 수영구 황령대로481번길 7 (남천동)
ValueCountFrequency (%)
부산광역시 333
16.4%
수영구 333
16.4%
수영로 193
 
9.5%
광안동 152
 
7.5%
남천동 85
 
4.2%
수영동 45
 
2.2%
2층 42
 
2.1%
3층 39
 
1.9%
망미동 31
 
1.5%
연수로 22
 
1.1%
Other values (357) 756
37.2%
2024-03-15T08:56:26.292753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1698
 
17.1%
수 626
 
6.3%
영 604
 
6.1%
광 534
 
5.4%
동 363
 
3.7%
부 336
 
3.4%
로 336
 
3.4%
산 335
 
3.4%
( 335
 
3.4%
) 335
 
3.4%
Other values (146) 4400
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5691
57.5%
Space Separator 1698
 
17.1%
Decimal Number 1459
 
14.7%
Open Punctuation 335
 
3.4%
Close Punctuation 335
 
3.4%
Other Punctuation 313
 
3.2%
Dash Punctuation 41
 
0.4%
Math Symbol 16
 
0.2%
Uppercase Letter 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 626
11.0%
영 604
 
10.6%
광 534
 
9.4%
동 363
 
6.4%
부 336
 
5.9%
로 336
 
5.9%
산 335
 
5.9%
구 334
 
5.9%
시 333
 
5.9%
역 333
 
5.9%
Other values (122) 1557
27.4%
Decimal Number
ValueCountFrequency (%)
1 216
14.8%
3 177
12.1%
6 171
11.7%
2 160
11.0%
5 159
10.9%
4 147
10.1%
7 124
8.5%
0 123
8.4%
9 104
7.1%
8 78
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
J 4
28.6%
S 3
21.4%
K 2
14.3%
R 2
14.3%
A 1
 
7.1%
V 1
 
7.1%
M 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 311
99.4%
. 2
 
0.6%
Space Separator
ValueCountFrequency (%)
1698
100.0%
Open Punctuation
ValueCountFrequency (%)
( 335
100.0%
Close Punctuation
ValueCountFrequency (%)
) 335
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5691
57.5%
Common 4197
42.4%
Latin 14
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 626
11.0%
영 604
 
10.6%
광 534
 
9.4%
동 363
 
6.4%
부 336
 
5.9%
로 336
 
5.9%
산 335
 
5.9%
구 334
 
5.9%
시 333
 
5.9%
역 333
 
5.9%
Other values (122) 1557
27.4%
Common
ValueCountFrequency (%)
1698
40.5%
( 335
 
8.0%
) 335
 
8.0%
, 311
 
7.4%
1 216
 
5.1%
3 177
 
4.2%
6 171
 
4.1%
2 160
 
3.8%
5 159
 
3.8%
4 147
 
3.5%
Other values (7) 488
 
11.6%
Latin
ValueCountFrequency (%)
J 4
28.6%
S 3
21.4%
K 2
14.3%
R 2
14.3%
A 1
 
7.1%
V 1
 
7.1%
M 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5691
57.5%
ASCII 4211
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1698
40.3%
( 335
 
8.0%
) 335
 
8.0%
, 311
 
7.4%
1 216
 
5.1%
3 177
 
4.2%
6 171
 
4.1%
2 160
 
3.8%
5 159
 
3.8%
4 147
 
3.5%
Other values (14) 502
 
11.9%
Hangul
ValueCountFrequency (%)
수 626
11.0%
영 604
 
10.6%
광 534
 
9.4%
동 363
 
6.4%
부 336
 
5.9%
로 336
 
5.9%
산 335
 
5.9%
구 334
 
5.9%
시 333
 
5.9%
역 333
 
5.9%
Other values (122) 1557
27.4%

의료기관전화번호
Text

UNIQUE 

Distinct333
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2024-03-15T08:56:27.241675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.990991
Min length9

Characters and Unicode

Total characters3993
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

Unique333 ?
Unique (%)100.0%

Sample

1st row051-753-3579
2nd row1544-7582
3rd row051-751-9775
4th row051-626-0250
5th row051-625-2300
ValueCountFrequency (%)
051-753-3579 1
 
0.3%
051-755-3300 1
 
0.3%
051-757-3527 1
 
0.3%
051-756-2804 1
 
0.3%
051-758-5666 1
 
0.3%
051-752-0080 1
 
0.3%
051-628-2728 1
 
0.3%
051-751-5747 1
 
0.3%
051-752-2875 1
 
0.3%
051-625-2662 1
 
0.3%
Other values (323) 323
97.0%
2024-03-15T08:56:28.506771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 768
19.2%
- 664
16.6%
1 555
13.9%
0 547
13.7%
7 465
11.6%
2 247
 
6.2%
8 196
 
4.9%
6 188
 
4.7%
3 133
 
3.3%
4 117
 
2.9%
Other values (2) 113
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3328
83.3%
Dash Punctuation 664
 
16.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 768
23.1%
1 555
16.7%
0 547
16.4%
7 465
14.0%
2 247
 
7.4%
8 196
 
5.9%
6 188
 
5.6%
3 133
 
4.0%
4 117
 
3.5%
9 112
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 664
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3993
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 768
19.2%
- 664
16.6%
1 555
13.9%
0 547
13.7%
7 465
11.6%
2 247
 
6.2%
8 196
 
4.9%
6 188
 
4.7%
3 133
 
3.3%
4 117
 
2.9%
Other values (2) 113
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3993
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 768
19.2%
- 664
16.6%
1 555
13.9%
0 547
13.7%
7 465
11.6%
2 247
 
6.2%
8 196
 
4.9%
6 188
 
4.7%
3 133
 
3.3%
4 117
 
2.9%
Other values (2) 113
 
2.8%

Missing values

2024-03-15T08:56:20.778101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:56:21.081758image/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
0병원수영어린이병원부산광역시 수영구 수영로 671, 2층~3층 (광안동)051-753-3579
1병원박원욱병원부산광역시 수영구 광안로 4, 지하1층,지상5~8층 (광안동, 에스케이뷰상가)1544-7582
2병원상쾌한병원부산광역시 수영구 연수로 406(광안동)051-751-9775
3병원메트로적추병원부산광역시 수영구 수영로 390-1 (남천동)051-626-0250
4병원한나병원부산광역시 수영구 황령대로481번길 7 (남천동)051-625-2300
5병원광안자모병원부산광역시 수영구 수영로 555 (광안동)051-760-0600
6요양병원(일반요양병원)가나안요양병원부산광역시 수영구 수영로 563-1, 지하1~10층 (광안동)051-752-8000
7요양병원(일반요양병원)센텀해인요양병원부산광역시 수영구 수영로 671, 5층~11층 (광안동)051-755-8555
8요양병원(일반요양병원)다온요양병원부산광역시 수영구 남천서로20번길 49 (남천동)051-935-3000
9요양병원(일반요양병원)의료법인강혜의료재단남천사랑의요양병원부산광역시 수영구 수영로 456 (남천동)051-625-1122
의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호
323한의원한겨레한의원부산광역시 수영구 연수로 274 (망미동)051-751-8878
324한의원일광 한의원부산광역시 수영구 광남로 126 (광안동)051-757-3800
325한의원광혜한의원부산광역시 수영구 수영로 592 (광안동)051-758-2000
326한의원김효건한의원부산광역시 수영구 수영로 565 (광안동)051-757-1700
327한의원광진 한의원부산광역시 수영구 무학로9번길 15 (광안동)051-757-8818
328한의원배정엽 한의원부산광역시 수영구 남천동로108번길 16 (남천동)051-626-0027
329한의원경대 한의원부산광역시 수영구 연수로416번길 2 (광안동)051-754-7733
330한의원예가 한의원부산광역시 수영구 연수로 374-1 (광안동)051-751-2828
331한의원고한의원부산광역시 수영구 남천동로 11 (남천동)051-623-1198
332한의원세방 한의원부산광역시 수영구 연수로 415 (수영동)051-751-1145