Overview

Dataset statistics

Number of variables4
Number of observations489
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory32.3 B

Variable types

Text3
Categorical1

Dataset

Description대구광역시 동구 관내 병원 및 의원 현황 데이터입니다. 이 데이터는 의료기관명, 종별구분, 전화번호, 의료기관주소(도로명) 등을 포함합니다.
Author대구광역시 동구
URLhttps://www.data.go.kr/data/3072390/fileData.do

Reproduction

Analysis started2023-12-12 13:55:06.077466
Analysis finished2023-12-12 13:55:06.633519
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

Distinct488
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2023-12-12T22:55:06.820775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length7.6257669
Min length3

Characters and Unicode

Total characters3729
Distinct characters303
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique487 ?
Unique (%)99.6%

Sample

1st row웰키즈아동병원
2nd row이시아연세병원
3rd row파티마요양병원
4th row강남요양병원
5th row든든한병원
ValueCountFrequency (%)
엠치과의원 2
 
0.4%
한의원 2
 
0.4%
동구즐거운치과의원 1
 
0.2%
심보성이비인후과의원 1
 
0.2%
송재학의미치과의원 1
 
0.2%
동아연합치과의원 1
 
0.2%
강긍모제통마취통증의학과의원 1
 
0.2%
백효종내과의원 1
 
0.2%
동호내과의원 1
 
0.2%
동대구미치과의원 1
 
0.2%
Other values (490) 490
97.6%
2023-12-12T22:55:07.216052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 505
 
13.5%
의 504
 
13.5%
과 310
 
8.3%
한 144
 
3.9%
치 108
 
2.9%
연 63
 
1.7%
합 57
 
1.5%
이 57
 
1.5%
동 55
 
1.5%
신 48
 
1.3%
Other values (293) 1878
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3685
98.8%
Space Separator 13
 
0.3%
Decimal Number 11
 
0.3%
Uppercase Letter 10
 
0.3%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 505
 
13.7%
의 504
 
13.7%
과 310
 
8.4%
한 144
 
3.9%
치 108
 
2.9%
연 63
 
1.7%
합 57
 
1.5%
이 57
 
1.5%
동 55
 
1.5%
신 48
 
1.3%
Other values (276) 1834
49.8%
Uppercase Letter
ValueCountFrequency (%)
L 2
20.0%
A 1
10.0%
M 1
10.0%
O 1
10.0%
V 1
10.0%
N 1
10.0%
Y 1
10.0%
S 1
10.0%
C 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 3
27.3%
6 2
18.2%
3 2
18.2%
5 2
18.2%
0 2
18.2%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3684
98.8%
Common 34
 
0.9%
Latin 10
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 505
 
13.7%
의 504
 
13.7%
과 310
 
8.4%
한 144
 
3.9%
치 108
 
2.9%
연 63
 
1.7%
합 57
 
1.5%
이 57
 
1.5%
동 55
 
1.5%
신 48
 
1.3%
Other values (275) 1833
49.8%
Latin
ValueCountFrequency (%)
L 2
20.0%
A 1
10.0%
M 1
10.0%
O 1
10.0%
V 1
10.0%
N 1
10.0%
Y 1
10.0%
S 1
10.0%
C 1
10.0%
Common
ValueCountFrequency (%)
13
38.2%
( 5
 
14.7%
) 5
 
14.7%
1 3
 
8.8%
6 2
 
5.9%
3 2
 
5.9%
5 2
 
5.9%
0 2
 
5.9%
Han
ValueCountFrequency (%)
美 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3684
98.8%
ASCII 44
 
1.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 505
 
13.7%
의 504
 
13.7%
과 310
 
8.4%
한 144
 
3.9%
치 108
 
2.9%
연 63
 
1.7%
합 57
 
1.5%
이 57
 
1.5%
동 55
 
1.5%
신 48
 
1.3%
Other values (275) 1833
49.8%
ASCII
ValueCountFrequency (%)
13
29.5%
( 5
 
11.4%
) 5
 
11.4%
1 3
 
6.8%
6 2
 
4.5%
3 2
 
4.5%
5 2
 
4.5%
0 2
 
4.5%
L 2
 
4.5%
A 1
 
2.3%
Other values (7) 7
15.9%
CJK
ValueCountFrequency (%)
美 1
100.0%

종별구분
Categorical

Distinct9
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
의원
246 
한의원
116 
치과의원
105 
요양병원(일반요양병원)
 
8
병원
 
7
Other values (4)
 
7

Length

Max length12
Median length2
Mean length2.8568507
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row병원
2nd row병원
3rd row요양병원(일반요양병원)
4th row요양병원(일반요양병원)
5th row병원

Common Values

ValueCountFrequency (%)
의원 246
50.3%
한의원 116
23.7%
치과의원 105
21.5%
요양병원(일반요양병원) 8
 
1.6%
병원 7
 
1.4%
정신병원 3
 
0.6%
종합병원 2
 
0.4%
한방병원 1
 
0.2%
보건소 1
 
0.2%

Length

2023-12-12T22:55:07.386118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:55:07.496307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 246
50.3%
한의원 116
23.7%
치과의원 105
21.5%
요양병원(일반요양병원 8
 
1.6%
병원 7
 
1.4%
정신병원 3
 
0.6%
종합병원 2
 
0.4%
한방병원 1
 
0.2%
보건소 1
 
0.2%

전화번호
Text

Distinct488
Distinct (%)100.0%
Missing1
Missing (%)0.2%
Memory size3.9 KiB
2023-12-12T22:55:07.792818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.993852
Min length9

Characters and Unicode

Total characters5853
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

Unique488 ?
Unique (%)100.0%

Sample

1st row053-961-5959
2nd row053-939-8000
3rd row053-242-2800
4th row053-983-4300
5th row053-940-3000
ValueCountFrequency (%)
053-961-5959 1
 
0.2%
053-986-7799 1
 
0.2%
053-961-7575 1
 
0.2%
053-965-2875 1
 
0.2%
053-753-8164 1
 
0.2%
053-742-7582 1
 
0.2%
053-958-5555 1
 
0.2%
053-961-3399 1
 
0.2%
053-959-0275 1
 
0.2%
053-985-9966 1
 
0.2%
Other values (478) 478
98.0%
2023-12-12T22:55:08.207942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1031
17.6%
- 975
16.7%
0 795
13.6%
3 700
12.0%
9 507
8.7%
7 378
 
6.5%
8 354
 
6.0%
2 341
 
5.8%
6 287
 
4.9%
1 255
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4878
83.3%
Dash Punctuation 975
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1031
21.1%
0 795
16.3%
3 700
14.4%
9 507
10.4%
7 378
 
7.7%
8 354
 
7.3%
2 341
 
7.0%
6 287
 
5.9%
1 255
 
5.2%
4 230
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 975
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5853
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1031
17.6%
- 975
16.7%
0 795
13.6%
3 700
12.0%
9 507
8.7%
7 378
 
6.5%
8 354
 
6.0%
2 341
 
5.8%
6 287
 
4.9%
1 255
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5853
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1031
17.6%
- 975
16.7%
0 795
13.6%
3 700
12.0%
9 507
8.7%
7 378
 
6.5%
8 354
 
6.0%
2 341
 
5.8%
6 287
 
4.9%
1 255
 
4.4%

의료기관주소(도로명)
Text

Distinct471
Distinct (%)96.5%
Missing1
Missing (%)0.2%
Memory size3.9 KiB
2023-12-12T22:55:08.501103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length54
Mean length28.247951
Min length20

Characters and Unicode

Total characters13785
Distinct characters192
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

Unique455 ?
Unique (%)93.2%

Sample

1st row대구광역시 동구 안심로 389, 3,4,5,6층 (신서동)
2nd row대구광역시 동구 팔공로 242-13, 연세메디컬센터 지하2층~지상6층 (봉무동)
3rd row대구광역시 동구 아양로 81, 호창메디타워 7~10층,13층 (신암동)
4th row대구광역시 동구 동촌로 207 (방촌동, 강남병원)
5th row대구광역시 동구 신암로 120, 2-7층 (신암동)
ValueCountFrequency (%)
대구광역시 488
 
16.5%
동구 488
 
16.5%
신암동 98
 
3.3%
2층 98
 
3.3%
아양로 75
 
2.5%
신천동 67
 
2.3%
율하동 59
 
2.0%
동촌로 58
 
2.0%
방촌동 57
 
1.9%
3층 54
 
1.8%
Other values (476) 1415
47.9%
2023-12-12T22:55:08.984223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2469
17.9%
동 1172
 
8.5%
구 988
 
7.2%
대 509
 
3.7%
로 502
 
3.6%
2 498
 
3.6%
시 496
 
3.6%
역 492
 
3.6%
( 490
 
3.6%
) 490
 
3.6%
Other values (182) 5679
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7613
55.2%
Space Separator 2469
 
17.9%
Decimal Number 2192
 
15.9%
Open Punctuation 490
 
3.6%
Close Punctuation 490
 
3.6%
Other Punctuation 470
 
3.4%
Dash Punctuation 44
 
0.3%
Uppercase Letter 10
 
0.1%
Math Symbol 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1172
15.4%
구 988
13.0%
대 509
 
6.7%
로 502
 
6.6%
시 496
 
6.5%
역 492
 
6.5%
광 488
 
6.4%
층 290
 
3.8%
신 272
 
3.6%
암 137
 
1.8%
Other values (161) 2267
29.8%
Decimal Number
ValueCountFrequency (%)
2 498
22.7%
1 364
16.6%
0 269
12.3%
3 259
11.8%
4 177
 
8.1%
5 150
 
6.8%
6 144
 
6.6%
8 134
 
6.1%
7 108
 
4.9%
9 89
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
G 4
40.0%
H 4
40.0%
A 1
 
10.0%
M 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 468
99.6%
. 2
 
0.4%
Space Separator
ValueCountFrequency (%)
2469
100.0%
Open Punctuation
ValueCountFrequency (%)
( 490
100.0%
Close Punctuation
ValueCountFrequency (%)
) 490
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7613
55.2%
Common 6162
44.7%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1172
15.4%
구 988
13.0%
대 509
 
6.7%
로 502
 
6.6%
시 496
 
6.5%
역 492
 
6.5%
광 488
 
6.4%
층 290
 
3.8%
신 272
 
3.6%
암 137
 
1.8%
Other values (161) 2267
29.8%
Common
ValueCountFrequency (%)
2469
40.1%
2 498
 
8.1%
( 490
 
8.0%
) 490
 
8.0%
, 468
 
7.6%
1 364
 
5.9%
0 269
 
4.4%
3 259
 
4.2%
4 177
 
2.9%
5 150
 
2.4%
Other values (7) 528
 
8.6%
Latin
ValueCountFrequency (%)
G 4
40.0%
H 4
40.0%
A 1
 
10.0%
M 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7613
55.2%
ASCII 6172
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2469
40.0%
2 498
 
8.1%
( 490
 
7.9%
) 490
 
7.9%
, 468
 
7.6%
1 364
 
5.9%
0 269
 
4.4%
3 259
 
4.2%
4 177
 
2.9%
5 150
 
2.4%
Other values (11) 538
 
8.7%
Hangul
ValueCountFrequency (%)
동 1172
15.4%
구 988
13.0%
대 509
 
6.7%
로 502
 
6.6%
시 496
 
6.5%
역 492
 
6.5%
광 488
 
6.4%
층 290
 
3.8%
신 272
 
3.6%
암 137
 
1.8%
Other values (161) 2267
29.8%

Missing values

2023-12-12T22:55:06.393333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:55:06.486795image/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.
2023-12-12T22:55:06.585861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

의료기관명종별구분전화번호의료기관주소(도로명)
0웰키즈아동병원병원053-961-5959대구광역시 동구 안심로 389, 3,4,5,6층 (신서동)
1이시아연세병원병원053-939-8000대구광역시 동구 팔공로 242-13, 연세메디컬센터 지하2층~지상6층 (봉무동)
2파티마요양병원요양병원(일반요양병원)053-242-2800대구광역시 동구 아양로 81, 호창메디타워 7~10층,13층 (신암동)
3강남요양병원요양병원(일반요양병원)053-983-4300대구광역시 동구 동촌로 207 (방촌동, 강남병원)
4든든한병원병원053-940-3000대구광역시 동구 신암로 120, 2-7층 (신암동)
5온빛병원정신병원053-267-8000대구광역시 동구 반야월북로2길 16-1 (율암동)
6바른요양병원요양병원(일반요양병원)053-721-7575대구광역시 동구 해동로 119, 지하1,지상1~3층 (입석동)
7이시아요양병원요양병원(일반요양병원)053-983-7700대구광역시 동구 파계로6길 16 (지묘동)
8한가람병원병원053-957-3111대구광역시 동구 해동로 101 (지저동)
9동대구요양병원요양병원(일반요양병원)053-957-7551대구광역시 동구 신암남로 159 (신암동)
의료기관명종별구분전화번호의료기관주소(도로명)
479안태수외과의원의원053-754-6226대구광역시 동구 효신로 24 (효목동)
480제명한의원한의원053-953-2918대구광역시 동구 아양로 63-1 (신암동)
481제생한의원한의원053-954-0887대구광역시 동구 아양로 243-1, 제생빌딩 2층 (신암동)
482한국한센복지협회대구경북지부부설복지피부과의원의원053-755-2426대구광역시 동구 장등로 60 (신천동)
483현대치과의원치과의원053-942-2517대구광역시 동구 신암로 86-1 (신암동)
484낙타정형외과의원의원053-756-3000대구광역시 동구 국채보상로 867 (신천동)
485한민내과의원의원053-752-8577대구광역시 동구 송라로 32 (신천동)
486순천의원의원053-962-0011대구광역시 동구 반야월로 196 (서호동)
487박준호내과의원의원053-425-5445대구광역시 동구 송라로 81, 2층 (신천동)
488동구보건소보건소053-662-3200대구광역시 동구 동촌로 79 (검사동)