Overview

Dataset statistics

Number of variables7
Number of observations38
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory59.5 B

Variable types

Text4
Categorical3

Dataset

Description이 데이터는 과천시 관내 의원 현황에 대한 데이터로 의료기관명, 소재지 주소, 전화번호, 운영시간 등의 항목을 제공합니다.
Author경기도 과천시
URLhttps://www.data.go.kr/data/3043341/fileData.do

Alerts

토요일 is highly overall correlated with 공휴일 and 1 other fieldsHigh correlation
공휴일 is highly overall correlated with 토요일High correlation
일요일 is highly overall correlated with 토요일High correlation
공휴일 is highly imbalanced (82.4%)Imbalance
일요일 is highly imbalanced (82.4%)Imbalance
의료기관명 has unique valuesUnique
소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:20:02.901844
Analysis finished2023-12-11 23:20:03.410385
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T08:20:03.552392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length8.6842105
Min length5

Characters and Unicode

Total characters330
Distinct characters98
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row과천예일의원
2nd row굿모닝마취통증의학과의원
3rd row김민규내과의원
4th row김이비인후과의원
5th row김정형외과의원
ValueCountFrequency (%)
과천예일의원 1
 
2.5%
신정형외과의원 1
 
2.5%
서울삼성튼튼의원 1
 
2.5%
베스톤 1
 
2.5%
비뇨기과의원 1
 
2.5%
이기헌내과의원 1
 
2.5%
탑내과의원 1
 
2.5%
상쾌한이비인후과의원 1
 
2.5%
이은신경외과의원 1
 
2.5%
다솜소아청소년과의원 1
 
2.5%
Other values (30) 30
75.0%
2023-12-12T08:20:03.917588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
 
12.1%
37
 
11.2%
34
 
10.3%
16
 
4.8%
9
 
2.7%
9
 
2.7%
8
 
2.4%
7
 
2.1%
7
 
2.1%
7
 
2.1%
Other values (88) 156
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 314
95.2%
Space Separator 16
 
4.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
40
 
12.7%
37
 
11.8%
34
 
10.8%
9
 
2.9%
9
 
2.9%
8
 
2.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (87) 150
47.8%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
95.2%
Common 16
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
40
 
12.7%
37
 
11.8%
34
 
10.8%
9
 
2.9%
9
 
2.9%
8
 
2.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (87) 150
47.8%
Common
ValueCountFrequency (%)
16
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 314
95.2%
ASCII 16
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
40
 
12.7%
37
 
11.8%
34
 
10.8%
9
 
2.9%
9
 
2.9%
8
 
2.5%
7
 
2.2%
7
 
2.2%
7
 
2.2%
6
 
1.9%
Other values (87) 150
47.8%
ASCII
ValueCountFrequency (%)
16
100.0%

소재지
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T08:20:04.180218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length40
Mean length35.868421
Min length28

Characters and Unicode

Total characters1363
Distinct characters89
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

Unique38 ?
Unique (%)100.0%

Sample

1st row경기도 과천시 별양상가 1로 30, 402~405호 (별양동, 골든타워)
2nd row경기도 과천시 별양상가1로 25, 301~302호 (별양동, 렉스타운)
3rd row경기도 과천시 별양상가1로 25, 405호~406호 (별양동, 렉스타운)
4th row경기도 과천시 별양상가1로 25, 407~408호 (별양동, 렉스타운)
5th row경기도 과천시 별양상가1로 35, 303호~304호 (별양동, 상아빌딩)
ValueCountFrequency (%)
경기도 38
 
14.0%
과천시 38
 
14.0%
별양동 24
 
8.8%
별양상가1로 12
 
4.4%
별양상가3로 10
 
3.7%
별양로 7
 
2.6%
중앙동 7
 
2.6%
이마트과천점 5
 
1.8%
렉스타운 5
 
1.8%
유니온빌딩 5
 
1.8%
Other values (80) 121
44.5%
2023-12-12T08:20:04.644426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
 
17.2%
, 73
 
5.4%
54
 
4.0%
54
 
4.0%
3 47
 
3.4%
45
 
3.3%
45
 
3.3%
43
 
3.2%
39
 
2.9%
1 39
 
2.9%
Other values (79) 690
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 738
54.1%
Space Separator 234
 
17.2%
Decimal Number 224
 
16.4%
Other Punctuation 73
 
5.4%
Close Punctuation 38
 
2.8%
Open Punctuation 38
 
2.8%
Uppercase Letter 9
 
0.7%
Math Symbol 7
 
0.5%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
54
 
7.3%
54
 
7.3%
45
 
6.1%
45
 
6.1%
43
 
5.8%
39
 
5.3%
38
 
5.1%
38
 
5.1%
38
 
5.1%
35
 
4.7%
Other values (59) 309
41.9%
Decimal Number
ValueCountFrequency (%)
3 47
21.0%
1 39
17.4%
0 39
17.4%
2 31
13.8%
5 22
9.8%
4 16
 
7.1%
8 12
 
5.4%
7 7
 
3.1%
9 6
 
2.7%
6 5
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
K 3
33.3%
T 3
33.3%
B 2
22.2%
A 1
 
11.1%
Space Separator
ValueCountFrequency (%)
234
100.0%
Other Punctuation
ValueCountFrequency (%)
, 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 738
54.1%
Common 616
45.2%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
54
 
7.3%
54
 
7.3%
45
 
6.1%
45
 
6.1%
43
 
5.8%
39
 
5.3%
38
 
5.1%
38
 
5.1%
38
 
5.1%
35
 
4.7%
Other values (59) 309
41.9%
Common
ValueCountFrequency (%)
234
38.0%
, 73
 
11.9%
3 47
 
7.6%
1 39
 
6.3%
0 39
 
6.3%
) 38
 
6.2%
( 38
 
6.2%
2 31
 
5.0%
5 22
 
3.6%
4 16
 
2.6%
Other values (6) 39
 
6.3%
Latin
ValueCountFrequency (%)
K 3
33.3%
T 3
33.3%
B 2
22.2%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 738
54.1%
ASCII 625
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
37.4%
, 73
 
11.7%
3 47
 
7.5%
1 39
 
6.2%
0 39
 
6.2%
) 38
 
6.1%
( 38
 
6.1%
2 31
 
5.0%
5 22
 
3.5%
4 16
 
2.6%
Other values (10) 48
 
7.7%
Hangul
ValueCountFrequency (%)
54
 
7.3%
54
 
7.3%
45
 
6.1%
45
 
6.1%
43
 
5.8%
39
 
5.3%
38
 
5.1%
38
 
5.1%
38
 
5.1%
35
 
4.7%
Other values (59) 309
41.9%

전화번호
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T08:20:04.881244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length11.236842
Min length11

Characters and Unicode

Total characters427
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

Unique38 ?
Unique (%)100.0%

Sample

1st row02-507-7582
2nd row02-504-8275
3rd row02-502-7780
4th row02-503-2647
5th row02-502-3077
ValueCountFrequency (%)
02-507-7582 1
 
2.6%
02-504-8875 1
 
2.6%
02-6958-9066 1
 
2.6%
02-502-8275 1
 
2.6%
02-483-3435 1
 
2.6%
02-502-8833 1
 
2.6%
02-502-7200 1
 
2.6%
02-578-9336 1
 
2.6%
02-6241-7588 1
 
2.6%
02-504-7582 1
 
2.6%
Other values (28) 28
73.7%
2023-12-12T08:20:05.207667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 85
19.9%
- 76
17.8%
2 67
15.7%
5 45
10.5%
7 40
9.4%
8 27
 
6.3%
3 25
 
5.9%
1 22
 
5.2%
4 15
 
3.5%
9 13
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 351
82.2%
Dash Punctuation 76
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 85
24.2%
2 67
19.1%
5 45
12.8%
7 40
11.4%
8 27
 
7.7%
3 25
 
7.1%
1 22
 
6.3%
4 15
 
4.3%
9 13
 
3.7%
6 12
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 427
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 85
19.9%
- 76
17.8%
2 67
15.7%
5 45
10.5%
7 40
9.4%
8 27
 
6.3%
3 25
 
5.9%
1 22
 
5.2%
4 15
 
3.5%
9 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 427
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 85
19.9%
- 76
17.8%
2 67
15.7%
5 45
10.5%
7 40
9.4%
8 27
 
6.3%
3 25
 
5.9%
1 22
 
5.2%
4 15
 
3.5%
9 13
 
3.0%
Distinct24
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T08:20:05.412564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length11
Mean length15.5
Min length11

Characters and Unicode

Total characters589
Distinct characters24
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)47.4%

Sample

1st row09:00~21:00
2nd row09:00~18:00+수) 14:00~18:00
3rd row09:00~18:00
4th row09:00~18:00+목) 14:00~18:00
5th row09:00~18:30
ValueCountFrequency (%)
09:00~18:30 6
 
12.0%
09:00~18:00 4
 
8.0%
08:30~18:30 4
 
8.0%
휴진 3
 
6.0%
08:30~18:00 3
 
6.0%
09:00~19:00 3
 
6.0%
09:30~18:30 3
 
6.0%
목요일 2
 
4.0%
월목 2
 
4.0%
14:00~18:00 2
 
4.0%
Other values (18) 18
36.0%
2023-12-12T08:20:05.965468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 201
34.1%
: 94
16.0%
1 48
 
8.1%
~ 47
 
8.0%
8 40
 
6.8%
3 38
 
6.5%
9 37
 
6.3%
) 14
 
2.4%
14
 
2.4%
9
 
1.5%
Other values (14) 47
 
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 376
63.8%
Other Punctuation 94
 
16.0%
Math Symbol 56
 
9.5%
Other Letter 32
 
5.4%
Close Punctuation 14
 
2.4%
Space Separator 14
 
2.4%
Open Punctuation 3
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 201
53.5%
1 48
 
12.8%
8 40
 
10.6%
3 38
 
10.1%
9 37
 
9.8%
2 7
 
1.9%
4 3
 
0.8%
7 1
 
0.3%
6 1
 
0.3%
Other Letter
ValueCountFrequency (%)
9
28.1%
5
15.6%
3
 
9.4%
3
 
9.4%
3
 
9.4%
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%
Math Symbol
ValueCountFrequency (%)
~ 47
83.9%
+ 9
 
16.1%
Other Punctuation
ValueCountFrequency (%)
: 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 557
94.6%
Hangul 32
 
5.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 201
36.1%
: 94
16.9%
1 48
 
8.6%
~ 47
 
8.4%
8 40
 
7.2%
3 38
 
6.8%
9 37
 
6.6%
) 14
 
2.5%
14
 
2.5%
+ 9
 
1.6%
Other values (5) 15
 
2.7%
Hangul
ValueCountFrequency (%)
9
28.1%
5
15.6%
3
 
9.4%
3
 
9.4%
3
 
9.4%
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 557
94.6%
Hangul 32
 
5.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 201
36.1%
: 94
16.9%
1 48
 
8.6%
~ 47
 
8.4%
8 40
 
7.2%
3 38
 
6.8%
9 37
 
6.6%
) 14
 
2.5%
14
 
2.5%
+ 9
 
1.6%
Other values (5) 15
 
2.7%
Hangul
ValueCountFrequency (%)
9
28.1%
5
15.6%
3
 
9.4%
3
 
9.4%
3
 
9.4%
3
 
9.4%
2
 
6.2%
2
 
6.2%
2
 
6.2%

토요일
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Memory size436.0 B
09:00~14:00
09:00~13:00
08:30~13:00
09:30~13:00
휴진
Other values (12)
12 

Length

Max length11
Median length11
Mean length10.526316
Min length2

Unique

Unique12 ?
Unique (%)31.6%

Sample

1st row09:00~21:00
2nd row09:00~13:00
3rd row09:00~13:00
4th row09:00~13:00
5th row09:00~14:00

Common Values

ValueCountFrequency (%)
09:00~14:00 9
23.7%
09:00~13:00 6
15.8%
08:30~13:00 5
13.2%
09:30~13:00 4
10.5%
휴진 2
 
5.3%
09:30~14:00 1
 
2.6%
09:30~15:00 1
 
2.6%
09:00~12:30 1
 
2.6%
08:30~12:30 1
 
2.6%
10:00~13:00 1
 
2.6%
Other values (7) 7
18.4%

Length

2023-12-12T08:20:06.122017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
09:00~14:00 9
23.7%
09:00~13:00 6
15.8%
08:30~13:00 5
13.2%
09:30~13:00 4
10.5%
휴진 2
 
5.3%
08:30~14:30 1
 
2.6%
09:00~21:00 1
 
2.6%
10:00~16:00 1
 
2.6%
09:00~14:30 1
 
2.6%
08:30~14:00 1
 
2.6%
Other values (7) 7
18.4%

공휴일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
휴진
37 
09:00~18:00
 
1

Length

Max length11
Median length2
Mean length2.2368421
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row09:00~18:00
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진

Common Values

ValueCountFrequency (%)
휴진 37
97.4%
09:00~18:00 1
 
2.6%

Length

2023-12-12T08:20:06.257310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:20:06.370655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴진 37
97.4%
09:00~18:00 1
 
2.6%

일요일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size436.0 B
휴진
37 
09:00~18:00
 
1

Length

Max length11
Median length2
Mean length2.2368421
Min length2

Unique

Unique1 ?
Unique (%)2.6%

Sample

1st row09:00~18:00
2nd row휴진
3rd row휴진
4th row휴진
5th row휴진

Common Values

ValueCountFrequency (%)
휴진 37
97.4%
09:00~18:00 1
 
2.6%

Length

2023-12-12T08:20:06.513633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:20:06.634547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴진 37
97.4%
09:00~18:00 1
 
2.6%

Correlations

2023-12-12T08:20:06.720451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명소재지전화번호평 일토요일공휴일일요일
의료기관명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
평 일1.0001.0001.0001.0000.8481.0001.000
토요일1.0001.0001.0000.8481.0001.0001.000
공휴일1.0001.0001.0001.0001.0001.0000.667
일요일1.0001.0001.0001.0001.0000.6671.000
2023-12-12T08:20:06.833930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일요일토요일공휴일
일요일1.0000.7640.464
토요일0.7641.0000.764
공휴일0.4640.7641.000
2023-12-12T08:20:06.919713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
토요일공휴일일요일
토요일1.0000.7640.764
공휴일0.7641.0000.464
일요일0.7640.4641.000

Missing values

2023-12-12T08:20:03.264034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:20:03.368944image/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

의료기관명소재지전화번호평 일토요일공휴일일요일
0과천예일의원경기도 과천시 별양상가 1로 30, 402~405호 (별양동, 골든타워)02-507-758209:00~21:0009:00~21:0009:00~18:0009:00~18:00
1굿모닝마취통증의학과의원경기도 과천시 별양상가1로 25, 301~302호 (별양동, 렉스타운)02-504-827509:00~18:00+수) 14:00~18:0009:00~13:00휴진휴진
2김민규내과의원경기도 과천시 별양상가1로 25, 405호~406호 (별양동, 렉스타운)02-502-778009:00~18:0009:00~13:00휴진휴진
3김이비인후과의원경기도 과천시 별양상가1로 25, 407~408호 (별양동, 렉스타운)02-503-264709:00~18:00+목) 14:00~18:0009:00~13:00휴진휴진
4김정형외과의원경기도 과천시 별양상가1로 35, 303호~304호 (별양동, 상아빌딩)02-502-307709:00~18:3009:00~14:00휴진휴진
5오체안피부과의원경기도 과천시 별양상가1로 13, 교보빌딩 6층 (별양동)02-502-7731월목) 09:30~20:00+화수금) 09:30~19:0009:30~15:00휴진휴진
6고운산부인과의원경기도 과천시 별양상가1로 35, 504호 (별양동, 상아빌딩)02-503-836009:00~18:00 (수요일 휴진)09:00~12:30휴진휴진
7사회복지법인큰소망경로의원경기도 과천시 문원로 57 (문원동, 노인복지회관)02-509-767109:00~16:00휴진휴진휴진
8신정형외과의원경기도 과천시 별양상가3로 5, 303호 (별양동, 유니온빌딩)02-507-210408:30~18:0008:30~12:30휴진휴진
9한동환신경외과의원경기도 과천시 별양상가1로 31, 307~309호 (별양동, 제일상가)02-502-758209:00~18:3009:00~14:00휴진휴진
의료기관명소재지전화번호평 일토요일공휴일일요일
28미즈킨 의원경기도 과천시 별양상가3로 11, 806호 (별양동, 이마트과천점)02-3418-007010:30~20:0010:00~16:00휴진휴진
29속편한내과의원경기도 과천시 별양상가3로 11, 801호 (별양동, 이마트과천점)02-504-758208:30~18:0008:30~13:00휴진휴진
30예연세안과의원경기도 과천시 별양상가3로 11, 813호 (별양동, 이마트과천점)02-507-009609:30~18:3009:30~13:00휴진휴진
31서울이비인후과의원경기도 과천시 별양로 28, A동 3층 (원문동, 래미안슈르 상가)02-502-808009:00~18:3009:00~13:30휴진휴진
32노블피부과의원경기도 과천시 별양상가1로 25, 401호 (별양동, 렉스타운)02-3679-217509:30~18:30 (목요일 휴진)09:30~13:00휴진휴진
33서울베스트정형외과의원경기도 과천시 중앙로 129, 601호 (중앙동, 고려빌딩)02-502-751109:00~20:0009:00~14:00휴진휴진
34김지영산부인과경기도 과천시 별양상가3로 5, 2층 2호 (별양동, 유니온빌딩)02-504-888209:00~19:0009:00~14:00휴진휴진
35포키즈소아청소년과의원경기도 과천시 별양로 39, 1동 203, 204호 (원문동, 위버필드 상가)02-3418-121709:00~18:3009:00~13:00휴진휴진
36서울삼성튼튼의원경기도 과천시 별양로 28, 래미안슈르상가동 3015~3022호 (원문동)02-6958-9066월목) 09:00~20:00+화수금) 09:00~19:0009:00~14:00휴진휴진
37정부과천청사부속의원경기도 과천시 관문로 47 (중앙동, 정부과천청사)02-2110-572209:00~12:00휴진휴진휴진