Overview

Dataset statistics

Number of variables5
Number of observations437
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.2 KiB
Average record size in memory40.3 B

Variable types

Categorical1
Text3
DateTime1

Dataset

Description부산광역시 사하구 의료기관 현황입니다. 의료기관종별, 의료기관명, 도로명주소, 전화번호 등의 정보를 제공합니다.
Author부산광역시 사하구
URLhttps://www.data.go.kr/data/15043273/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의료기관명 has unique valuesUnique
의료기관전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:55:30.181492
Analysis finished2024-03-14 11:55:31.124966
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관종별
Categorical

Distinct9
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
의원
200 
치과의원
106 
한의원
84 
요양병원
21 
병원
 
19
Other values (4)
 
7

Length

Max length4
Median length2
Mean length2.798627
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
의원 200
45.8%
치과의원 106
24.3%
한의원 84
19.2%
요양병원 21
 
4.8%
병원 19
 
4.3%
정신병원 3
 
0.7%
한방병원 2
 
0.5%
치과병원 1
 
0.2%
0 1
 
0.2%

Length

2024-03-14T20:55:31.348841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:55:31.719983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 200
45.8%
치과의원 106
24.3%
한의원 84
19.2%
요양병원 21
 
4.8%
병원 19
 
4.3%
정신병원 3
 
0.7%
한방병원 2
 
0.5%
치과병원 1
 
0.2%
0 1
 
0.2%

의료기관명
Text

UNIQUE 

Distinct437
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-03-14T20:55:32.529970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length21
Mean length7.8375286
Min length3

Characters and Unicode

Total characters3425
Distinct characters313
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

Unique437 ?
Unique (%)100.0%

Sample

1st row부산더키즈병원
2nd row더탄탄병원
3rd row서호하단병원
4th row파크병원
5th row항스퀘어 병원
ValueCountFrequency (%)
의료법인 5
 
1.1%
의원 3
 
0.6%
치과의원 2
 
0.4%
부산더키즈병원 1
 
0.2%
빛낼 1
 
0.2%
온누리를 1
 
0.2%
사단법인 1
 
0.2%
이룸치과의원 1
 
0.2%
하단강산치과의원 1
 
0.2%
예본치과의원 1
 
0.2%
Other values (459) 459
96.4%
2024-03-14T20:55:33.583531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 462
 
13.5%
원 449
 
13.1%
과 281
 
8.2%
한 113
 
3.3%
치 110
 
3.2%
정 63
 
1.8%
이 59
 
1.7%
인 53
 
1.5%
병 46
 
1.3%
내 45
 
1.3%
Other values (303) 1744
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3358
98.0%
Space Separator 40
 
1.2%
Lowercase Letter 9
 
0.3%
Uppercase Letter 8
 
0.2%
Decimal Number 5
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 462
 
13.8%
원 449
 
13.4%
과 281
 
8.4%
한 113
 
3.4%
치 110
 
3.3%
정 63
 
1.9%
이 59
 
1.8%
인 53
 
1.6%
병 46
 
1.4%
내 45
 
1.3%
Other values (286) 1677
49.9%
Uppercase Letter
ValueCountFrequency (%)
U 2
25.0%
O 1
12.5%
C 1
12.5%
I 1
12.5%
B 1
12.5%
S 1
12.5%
K 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 5
55.6%
t 2
 
22.2%
h 2
 
22.2%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
4 2
40.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3358
98.0%
Common 50
 
1.5%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 462
 
13.8%
원 449
 
13.4%
과 281
 
8.4%
한 113
 
3.4%
치 110
 
3.3%
정 63
 
1.9%
이 59
 
1.8%
인 53
 
1.6%
병 46
 
1.4%
내 45
 
1.3%
Other values (286) 1677
49.9%
Latin
ValueCountFrequency (%)
e 5
29.4%
U 2
 
11.8%
t 2
 
11.8%
h 2
 
11.8%
O 1
 
5.9%
C 1
 
5.9%
I 1
 
5.9%
B 1
 
5.9%
S 1
 
5.9%
K 1
 
5.9%
Common
ValueCountFrequency (%)
40
80.0%
2 2
 
4.0%
4 2
 
4.0%
( 2
 
4.0%
) 2
 
4.0%
. 1
 
2.0%
1 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3358
98.0%
ASCII 67
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 462
 
13.8%
원 449
 
13.4%
과 281
 
8.4%
한 113
 
3.4%
치 110
 
3.3%
정 63
 
1.9%
이 59
 
1.8%
인 53
 
1.6%
병 46
 
1.4%
내 45
 
1.3%
Other values (286) 1677
49.9%
ASCII
ValueCountFrequency (%)
40
59.7%
e 5
 
7.5%
U 2
 
3.0%
2 2
 
3.0%
4 2
 
3.0%
t 2
 
3.0%
( 2
 
3.0%
h 2
 
3.0%
) 2
 
3.0%
O 1
 
1.5%
Other values (7) 7
 
10.4%

의료기관주소(도로명)
Text

Distinct415
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-03-14T20:55:34.589300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length48
Mean length28.649886
Min length21

Characters and Unicode

Total characters12520
Distinct characters138
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

Unique394 ?
Unique (%)90.2%

Sample

1st row부산광역시 사하구 다대로 234, 5,6,7,8,9층 (장림동)
2nd row부산광역시 사하구 사하로 189, 2층,3~4 일부층 (괴정동, 괴정어반푸르지오)
3rd row부산광역시 사하구 낙동대로 446, 6층 602호~15층 (당리동)
4th row부산광역시 사하구 까치고개로 79-1 (괴정동)
5th row부산광역시 사하구 다대로 251 (장림동)
ValueCountFrequency (%)
부산광역시 437
17.0%
사하구 437
17.0%
낙동대로 144
 
5.6%
괴정동 103
 
4.0%
하단동 91
 
3.5%
다대로 86
 
3.3%
다대동 72
 
2.8%
2층 60
 
2.3%
당리동 54
 
2.1%
장림동 53
 
2.1%
Other values (390) 1031
40.1%
2024-03-14T20:55:35.870013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2131
 
17.0%
동 646
 
5.2%
하 600
 
4.8%
사 464
 
3.7%
부 458
 
3.7%
산 444
 
3.5%
구 441
 
3.5%
시 437
 
3.5%
역 437
 
3.5%
광 437
 
3.5%
Other values (128) 6025
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7242
57.8%
Space Separator 2131
 
17.0%
Decimal Number 1844
 
14.7%
Open Punctuation 437
 
3.5%
Close Punctuation 437
 
3.5%
Other Punctuation 396
 
3.2%
Dash Punctuation 20
 
0.2%
Math Symbol 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 646
 
8.9%
하 600
 
8.3%
사 464
 
6.4%
부 458
 
6.3%
산 444
 
6.1%
구 441
 
6.1%
시 437
 
6.0%
역 437
 
6.0%
광 437
 
6.0%
로 433
 
6.0%
Other values (112) 2445
33.8%
Decimal Number
ValueCountFrequency (%)
1 312
16.9%
4 305
16.5%
2 290
15.7%
3 196
10.6%
5 182
9.9%
0 156
8.5%
6 117
 
6.3%
7 99
 
5.4%
9 97
 
5.3%
8 90
 
4.9%
Space Separator
ValueCountFrequency (%)
2131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 437
100.0%
Other Punctuation
ValueCountFrequency (%)
, 396
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7242
57.8%
Common 5278
42.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 646
 
8.9%
하 600
 
8.3%
사 464
 
6.4%
부 458
 
6.3%
산 444
 
6.1%
구 441
 
6.1%
시 437
 
6.0%
역 437
 
6.0%
광 437
 
6.0%
로 433
 
6.0%
Other values (112) 2445
33.8%
Common
ValueCountFrequency (%)
2131
40.4%
( 437
 
8.3%
) 437
 
8.3%
, 396
 
7.5%
1 312
 
5.9%
4 305
 
5.8%
2 290
 
5.5%
3 196
 
3.7%
5 182
 
3.4%
0 156
 
3.0%
Other values (6) 436
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7242
57.8%
ASCII 5278
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2131
40.4%
( 437
 
8.3%
) 437
 
8.3%
, 396
 
7.5%
1 312
 
5.9%
4 305
 
5.8%
2 290
 
5.5%
3 196
 
3.7%
5 182
 
3.4%
0 156
 
3.0%
Other values (6) 436
 
8.3%
Hangul
ValueCountFrequency (%)
동 646
 
8.9%
하 600
 
8.3%
사 464
 
6.4%
부 458
 
6.3%
산 444
 
6.1%
구 441
 
6.1%
시 437
 
6.0%
역 437
 
6.0%
광 437
 
6.0%
로 433
 
6.0%
Other values (112) 2445
33.8%

의료기관전화번호
Text

UNIQUE 

Distinct437
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-03-14T20:55:36.913361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.974828
Min length8

Characters and Unicode

Total characters5233
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique437 ?
Unique (%)100.0%

Sample

1st row051-711-6000
2nd row051-961-1000
3rd row051-201-6666
4th row051-201-8787
5th row051-715-4242
ValueCountFrequency (%)
051-711-6000 1
 
0.2%
051-293-9710 1
 
0.2%
051-292-9931 1
 
0.2%
051-206-2275 1
 
0.2%
051-266-2879 1
 
0.2%
051-262-2882 1
 
0.2%
051-266-6565 1
 
0.2%
051-262-7528 1
 
0.2%
051-205-2875 1
 
0.2%
051-203-7528 1
 
0.2%
Other values (429) 429
97.7%
2024-03-14T20:55:38.335677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 931
17.8%
- 868
16.6%
5 726
13.9%
1 723
13.8%
2 667
12.7%
7 289
 
5.5%
6 266
 
5.1%
8 232
 
4.4%
9 195
 
3.7%
3 189
 
3.6%
Other values (3) 147
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4362
83.4%
Dash Punctuation 868
 
16.6%
Space Separator 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 931
21.3%
5 726
16.6%
1 723
16.6%
2 667
15.3%
7 289
 
6.6%
6 266
 
6.1%
8 232
 
5.3%
9 195
 
4.5%
3 189
 
4.3%
4 144
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 868
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5233
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 931
17.8%
- 868
16.6%
5 726
13.9%
1 723
13.8%
2 667
12.7%
7 289
 
5.5%
6 266
 
5.1%
8 232
 
4.4%
9 195
 
3.7%
3 189
 
3.6%
Other values (3) 147
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5233
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 931
17.8%
- 868
16.6%
5 726
13.9%
1 723
13.8%
2 667
12.7%
7 289
 
5.5%
6 266
 
5.1%
8 232
 
4.4%
9 195
 
3.7%
3 189
 
3.6%
Other values (3) 147
 
2.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
Minimum2024-02-15 00:00:00
Maximum2024-02-15 00:00:00
2024-03-14T20:55:38.685214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:55:38.975947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-03-14T20:55:30.673806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:55:30.992609image/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)의료기관전화번호데이터기준일자
0병원부산더키즈병원부산광역시 사하구 다대로 234, 5,6,7,8,9층 (장림동)051-711-60002024-02-15
1병원더탄탄병원부산광역시 사하구 사하로 189, 2층,3~4 일부층 (괴정동, 괴정어반푸르지오)051-961-10002024-02-15
2병원서호하단병원부산광역시 사하구 낙동대로 446, 6층 602호~15층 (당리동)051-201-66662024-02-15
3병원파크병원부산광역시 사하구 까치고개로 79-1 (괴정동)051-201-87872024-02-15
4병원항스퀘어 병원부산광역시 사하구 다대로 251 (장림동)051-715-42422024-02-15
5병원괴정어린이병원부산광역시 사하구 사하로 188 (괴정동)051-201-52752024-02-15
6병원의료법인성신의료재단 다대수병원부산광역시 사하구 다대로 565 (다대동)051-260-10002024-02-15
7병원부산맘아동병원부산광역시 사하구 낙동대로 451, 금동빌딩 2,4,5-8층 (하단동)051-271-82752024-02-15
8병원미래아이병원부산광역시 사하구 낙동남로 1388 (하단동)051-200-99992024-02-15
9병원부산본병원부산광역시 사하구 승학로 8 (당리동)051-1599-82752024-02-15
의료기관종별의료기관명의료기관주소(도로명)의료기관전화번호데이터기준일자
427한의원백세동덕한의원부산광역시 사하구 하신중앙로 340, 2층 (하단동)051-208-58882024-02-15
428한의원삼명한의원부산광역시 사하구 장림번영로 46 (장림동)051-264-12332024-02-15
429한의원세화한의원부산광역시 사하구 다대로429번길 20, 상가1동 215호 (다대동, 삼환종합상가)051-264-12212024-02-15
430한의원해인한의원부산광역시 사하구 낙동대로 184 (괴정동)051-201-32322024-02-15
431한의원경인한의원부산광역시 사하구 다대로 401, 1,2층 (다대동)051-261-14332024-02-15
432한의원이성우한의원부산광역시 사하구 낙동대로 261 (괴정동)051-205-15462024-02-15
433한의원괴정한의원부산광역시 사하구 낙동대로 206, 2층 (괴정동)051-205-43542024-02-15
434한의원인성한의원부산광역시 사하구 낙동대로 445 (하단동)051-204-57752024-02-15
435한의원행림한의원부산광역시 사하구 낙동대로 309, 1~5층 (괴정동)051-291-50502024-02-15
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