Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells49
Missing cells (%)13.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory59.6 B

Variable types

Text5
Categorical1
Numeric1

Dataset

Description대전광역시 30병상 이상 규모 일반병원 현황에 대한 데이터로 의료기관명, 설립구분, 주소, 전화번호 등의 항목을 제공합니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15063279/fileData.do

Alerts

팩스번호 has 6 (11.8%) missing valuesMissing
비 고 has 43 (84.3%) missing valuesMissing
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:16:40.135160
Analysis finished2023-12-12 09:16:41.256439
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의료기관명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:16:41.465673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length8.5098039
Min length4

Characters and Unicode

Total characters434
Distinct characters127
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

Unique51 ?
Unique (%)100.0%

Sample

1st row사회복지법인천성원 대전한일병원
2nd row의료법인 성전의료재단 대전신생병원
3rd row의료법인 의명의료재단 대전병원
4th row이안과병원
5th row대전광역시립정신병원
ValueCountFrequency (%)
의료법인 5
 
7.4%
의명의료재단 2
 
2.9%
사회복지법인 2
 
2.9%
사회복지법인천성원 1
 
1.5%
써지탑병원 1
 
1.5%
비엔피병원 1
 
1.5%
대전베스트정형외과병원 1
 
1.5%
글로벌튼튼병원 1
 
1.5%
킴벨피부과병원 1
 
1.5%
더블유여성병원 1
 
1.5%
Other values (52) 52
76.5%
2023-12-12T18:16:41.973686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 55
 
12.7%
병 51
 
11.8%
18
 
4.1%
의 14
 
3.2%
전 13
 
3.0%
인 12
 
2.8%
대 12
 
2.8%
료 12
 
2.8%
법 11
 
2.5%
성 11
 
2.5%
Other values (117) 225
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 416
95.9%
Space Separator 18
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 55
 
13.2%
병 51
 
12.3%
의 14
 
3.4%
전 13
 
3.1%
인 12
 
2.9%
대 12
 
2.9%
료 12
 
2.9%
법 11
 
2.6%
성 11
 
2.6%
지 7
 
1.7%
Other values (116) 218
52.4%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 416
95.9%
Common 18
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 55
 
13.2%
병 51
 
12.3%
의 14
 
3.4%
전 13
 
3.1%
인 12
 
2.9%
대 12
 
2.9%
료 12
 
2.9%
법 11
 
2.6%
성 11
 
2.6%
지 7
 
1.7%
Other values (116) 218
52.4%
Common
ValueCountFrequency (%)
18
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 416
95.9%
ASCII 18
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 55
 
13.2%
병 51
 
12.3%
의 14
 
3.4%
전 13
 
3.1%
인 12
 
2.9%
대 12
 
2.9%
료 12
 
2.9%
법 11
 
2.6%
성 11
 
2.6%
지 7
 
1.7%
Other values (116) 218
52.4%
ASCII
ValueCountFrequency (%)
18
100.0%

설립구분
Categorical

Distinct5
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size540.0 B
개인
37 
의료법인
7 
사회복지법인
5 
공립(시도립)
 
1
군병원
 
1

Length

Max length7
Median length2
Mean length2.7843137
Min length2

Unique

Unique2 ?
Unique (%)3.9%

Sample

1st row사회복지법인
2nd row의료법인
3rd row의료법인
4th row의료법인
5th row공립(시도립)

Common Values

ValueCountFrequency (%)
개인 37
72.5%
의료법인 7
 
13.7%
사회복지법인 5
 
9.8%
공립(시도립) 1
 
2.0%
군병원 1
 
2.0%

Length

2023-12-12T18:16:42.184560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:42.342796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 37
72.5%
의료법인 7
 
13.7%
사회복지법인 5
 
9.8%
공립(시도립 1
 
2.0%
군병원 1
 
2.0%

주소
Text

Distinct48
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:16:42.734666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length24.568627
Min length20

Characters and Unicode

Total characters1253
Distinct characters85
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

Unique46 ?
Unique (%)90.2%

Sample

1st row대전광역시 대덕구 대화1길 2 (대화동)
2nd row대전광역시 유성구 진잠옛로135번길 87 (학하동)
3rd row대전광역시 대덕구 대전로 1215 (오정동)
4th row대전광역시 중구 대종로 468 (대흥동)
5th row대전광역시 유성구 진잠옛로135번길 87 (학하동)
ValueCountFrequency (%)
대전광역시 51
19.8%
서구 26
 
10.1%
둔산동 14
 
5.4%
유성구 12
 
4.7%
계룡로 9
 
3.5%
탄방동 8
 
3.1%
봉명동 7
 
2.7%
중구 5
 
1.9%
대덕구 4
 
1.6%
동구 4
 
1.6%
Other values (97) 118
45.7%
2023-12-12T18:16:43.273491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
 
16.5%
대 77
 
6.1%
동 59
 
4.7%
전 55
 
4.4%
) 52
 
4.2%
( 52
 
4.2%
시 51
 
4.1%
구 51
 
4.1%
광 51
 
4.1%
역 51
 
4.1%
Other values (75) 547
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
59.5%
Space Separator 207
 
16.5%
Decimal Number 179
 
14.3%
Close Punctuation 52
 
4.2%
Open Punctuation 52
 
4.2%
Other Punctuation 10
 
0.8%
Math Symbol 4
 
0.3%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 77
 
10.3%
동 59
 
7.9%
전 55
 
7.4%
시 51
 
6.8%
구 51
 
6.8%
광 51
 
6.8%
역 51
 
6.8%
로 49
 
6.6%
서 29
 
3.9%
산 20
 
2.7%
Other values (58) 252
33.8%
Decimal Number
ValueCountFrequency (%)
1 30
16.8%
3 23
12.8%
2 21
11.7%
5 20
11.2%
8 17
9.5%
6 16
8.9%
4 15
8.4%
7 14
7.8%
0 13
7.3%
9 10
 
5.6%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
59.5%
Common 508
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 77
 
10.3%
동 59
 
7.9%
전 55
 
7.4%
시 51
 
6.8%
구 51
 
6.8%
광 51
 
6.8%
역 51
 
6.8%
로 49
 
6.6%
서 29
 
3.9%
산 20
 
2.7%
Other values (58) 252
33.8%
Common
ValueCountFrequency (%)
207
40.7%
) 52
 
10.2%
( 52
 
10.2%
1 30
 
5.9%
3 23
 
4.5%
2 21
 
4.1%
5 20
 
3.9%
8 17
 
3.3%
6 16
 
3.1%
4 15
 
3.0%
Other values (7) 55
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
59.5%
ASCII 508
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
40.7%
) 52
 
10.2%
( 52
 
10.2%
1 30
 
5.9%
3 23
 
4.5%
2 21
 
4.1%
5 20
 
3.9%
8 17
 
3.3%
6 16
 
3.1%
4 15
 
3.0%
Other values (7) 55
 
10.8%
Hangul
ValueCountFrequency (%)
대 77
 
10.3%
동 59
 
7.9%
전 55
 
7.4%
시 51
 
6.8%
구 51
 
6.8%
광 51
 
6.8%
역 51
 
6.8%
로 49
 
6.6%
서 29
 
3.9%
산 20
 
2.7%
Other values (58) 252
33.8%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-12T18:16:43.609313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.098039
Min length12

Characters and Unicode

Total characters617
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

Unique51 ?
Unique (%)100.0%

Sample

1st row042-620-8114
2nd row042-823-4401
3rd row042-625-0700
4th row042-220-5500
5th row042-823-9101
ValueCountFrequency (%)
042-620-8114 1
 
2.0%
042-489-8888 1
 
2.0%
042-222-2921 1
 
2.0%
042-485-7777 1
 
2.0%
042-1899-3275 1
 
2.0%
042-484-9898 1
 
2.0%
042-471-7575 1
 
2.0%
042-220-2300 1
 
2.0%
042-345-7700 1
 
2.0%
042-522-8275 1
 
2.0%
Other values (41) 41
80.4%
2023-12-12T18:16:44.111234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 122
19.8%
2 103
16.7%
- 102
16.5%
4 78
12.6%
5 44
 
7.1%
8 42
 
6.8%
7 37
 
6.0%
1 30
 
4.9%
3 22
 
3.6%
9 21
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 515
83.5%
Dash Punctuation 102
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 122
23.7%
2 103
20.0%
4 78
15.1%
5 44
 
8.5%
8 42
 
8.2%
7 37
 
7.2%
1 30
 
5.8%
3 22
 
4.3%
9 21
 
4.1%
6 16
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 617
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 122
19.8%
2 103
16.7%
- 102
16.5%
4 78
12.6%
5 44
 
7.1%
8 42
 
6.8%
7 37
 
6.0%
1 30
 
4.9%
3 22
 
3.6%
9 21
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 617
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 122
19.8%
2 103
16.7%
- 102
16.5%
4 78
12.6%
5 44
 
7.1%
8 42
 
6.8%
7 37
 
6.0%
1 30
 
4.9%
3 22
 
3.6%
9 21
 
3.4%

팩스번호
Text

MISSING 

Distinct44
Distinct (%)97.8%
Missing6
Missing (%)11.8%
Memory size540.0 B
2023-12-12T18:16:44.423951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066667
Min length12

Characters and Unicode

Total characters543
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

Unique43 ?
Unique (%)95.6%

Sample

1st row042-632-3002
2nd row042-253-8800
3rd row042-823-9101
4th row042-536-0522
5th row042-930-0500
ValueCountFrequency (%)
042-541-0097 2
 
4.4%
042-820-1244 1
 
2.2%
042-528-6553 1
 
2.2%
042-255-2921 1
 
2.2%
042-484-2200 1
 
2.2%
042-483-3275 1
 
2.2%
042-471-4488 1
 
2.2%
042-471-7575 1
 
2.2%
042-226-0128 1
 
2.2%
042-345-7799 1
 
2.2%
Other values (34) 34
75.6%
2023-12-12T18:16:44.930406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 90
16.6%
0 88
16.2%
2 88
16.2%
4 76
14.0%
8 42
7.7%
5 33
 
6.1%
1 32
 
5.9%
7 29
 
5.3%
9 24
 
4.4%
3 24
 
4.4%
Other values (2) 17
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 452
83.2%
Dash Punctuation 90
 
16.6%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
19.5%
2 88
19.5%
4 76
16.8%
8 42
9.3%
5 33
 
7.3%
1 32
 
7.1%
7 29
 
6.4%
9 24
 
5.3%
3 24
 
5.3%
6 16
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 90
16.6%
0 88
16.2%
2 88
16.2%
4 76
14.0%
8 42
7.7%
5 33
 
6.1%
1 32
 
5.9%
7 29
 
5.3%
9 24
 
4.4%
3 24
 
4.4%
Other values (2) 17
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 90
16.6%
0 88
16.2%
2 88
16.2%
4 76
14.0%
8 42
7.7%
5 33
 
6.1%
1 32
 
5.9%
7 29
 
5.3%
9 24
 
4.4%
3 24
 
4.4%
Other values (2) 17
 
3.1%

병상수
Real number (ℝ)

Distinct40
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.86275
Minimum30
Maximum449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-12T18:16:45.139596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q156
median78
Q3122.5
95-th percentile324.5
Maximum449
Range419
Interquartile range (IQR)66.5

Descriptive statistics

Standard deviation92.726268
Coefficient of variation (CV)0.84401922
Kurtosis5.0328065
Mean109.86275
Median Absolute Deviation (MAD)30
Skewness2.2232122
Sum5603
Variance8598.1608
MonotonicityNot monotonic
2023-12-12T18:16:45.322709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
30 4
 
7.8%
78 3
 
5.9%
70 2
 
3.9%
149 2
 
3.9%
71 2
 
3.9%
55 2
 
3.9%
47 2
 
3.9%
64 2
 
3.9%
299 1
 
2.0%
48 1
 
2.0%
Other values (30) 30
58.8%
ValueCountFrequency (%)
30 4
7.8%
31 1
 
2.0%
36 1
 
2.0%
39 1
 
2.0%
47 2
3.9%
48 1
 
2.0%
54 1
 
2.0%
55 2
3.9%
57 1
 
2.0%
58 1
 
2.0%
ValueCountFrequency (%)
449 1
2.0%
413 1
2.0%
350 1
2.0%
299 1
2.0%
212 1
2.0%
202 1
2.0%
199 1
2.0%
192 1
2.0%
149 2
3.9%
147 1
2.0%

비 고
Text

MISSING 

Distinct4
Distinct (%)50.0%
Missing43
Missing (%)84.3%
Memory size540.0 B
2023-12-12T18:16:45.492584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters24
Distinct characters12
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

Unique3 ?
Unique (%)37.5%

Sample

1st row정신
2nd row정신/휴업
3rd row정신
4th row정신
5th row정신
ValueCountFrequency (%)
정신 5
62.5%
정신/휴업 1
 
12.5%
휴업 1
 
12.5%
장애인의료재활 1
 
12.5%
2023-12-12T18:16:45.864444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 6
25.0%
신 6
25.0%
휴 2
 
8.3%
업 2
 
8.3%
/ 1
 
4.2%
장 1
 
4.2%
애 1
 
4.2%
인 1
 
4.2%
의 1
 
4.2%
료 1
 
4.2%
Other values (2) 2
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
95.8%
Other Punctuation 1
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6
26.1%
신 6
26.1%
휴 2
 
8.7%
업 2
 
8.7%
장 1
 
4.3%
애 1
 
4.3%
인 1
 
4.3%
의 1
 
4.3%
료 1
 
4.3%
재 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
95.8%
Common 1
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6
26.1%
신 6
26.1%
휴 2
 
8.7%
업 2
 
8.7%
장 1
 
4.3%
애 1
 
4.3%
인 1
 
4.3%
의 1
 
4.3%
료 1
 
4.3%
재 1
 
4.3%
Common
ValueCountFrequency (%)
/ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
95.8%
ASCII 1
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 6
26.1%
신 6
26.1%
휴 2
 
8.7%
업 2
 
8.7%
장 1
 
4.3%
애 1
 
4.3%
인 1
 
4.3%
의 1
 
4.3%
료 1
 
4.3%
재 1
 
4.3%
ASCII
ValueCountFrequency (%)
/ 1
100.0%

Interactions

2023-12-12T18:16:40.675357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:16:46.013425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의료기관명설립구분주소전화번호팩스번호병상수비 고
의료기관명1.0001.0001.0001.0001.0001.0001.000
설립구분1.0001.0000.0001.0001.0000.6890.000
주소1.0000.0001.0001.0000.9860.0000.588
전화번호1.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0000.9861.0001.0000.9791.000
병상수1.0000.6890.0001.0000.9791.0001.000
비 고1.0000.0000.5881.0001.0001.0001.000
2023-12-12T18:16:46.173612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
병상수설립구분
병상수1.0000.496
설립구분0.4961.000

Missing values

2023-12-12T18:16:40.857359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:16:41.057414image/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.
2023-12-12T18:16:41.191843image/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

의료기관명설립구분주소전화번호팩스번호병상수비 고
0사회복지법인천성원 대전한일병원사회복지법인대전광역시 대덕구 대화1길 2 (대화동)042-620-8114042-632-3002192정신
1의료법인 성전의료재단 대전신생병원의료법인대전광역시 유성구 진잠옛로135번길 87 (학하동)042-823-4401<NA>350정신/휴업
2의료법인 의명의료재단 대전병원의료법인대전광역시 대덕구 대전로 1215 (오정동)042-625-0700<NA>110<NA>
3이안과병원의료법인대전광역시 중구 대종로 468 (대흥동)042-220-5500042-253-880030<NA>
4대전광역시립정신병원공립(시도립)대전광역시 유성구 진잠옛로135번길 87 (학하동)042-823-9101042-823-9101199정신
5연합정형외과병원개인대전광역시 서구 계룡로 619 (탄방동)042-536-0911042-536-052278<NA>
6사회복지법인천성원신탄진한일병원사회복지법인대전광역시 대덕구 신탄진로 623 (상서동)042-930-0300042-930-0500202<NA>
7사회복지법인한마음 한마음정신병원사회복지법인대전광역시 서구 삼보실길 123 (장안동)042-582-9700042-582-9700413정신
8국군대전병원군병원대전광역시 유성구 자운로 90 (자운동)042-878-4256042-861-8188449<NA>
9사회복지법인 성신원 동대전정신병원사회복지법인대전광역시 동구 옥천로 315 (삼정동)042-272-8882042-272-8882140정신
의료기관명설립구분주소전화번호팩스번호병상수비 고
41탄탄병원개인대전광역시 서구 계룡로553번길 72 (탄방동)042-476-0001042-476-258947<NA>
42미즈제일여성병원개인대전광역시 유성구 계룡로 126 (봉명동)042-821-0000<NA>58<NA>
43을지소아청소년과병원개인대전광역시 대덕구 송촌북로 60 (송촌동)042-605-0000042-632-844570<NA>
44글로벌삼육오엠씨병원개인대전광역시 서구 대덕대로 194, (둔산동)042-488-3653042-488-364930<NA>
45탄방엠블병원개인대전광역시 서구 문정로48번길 70 (탄방동)042-1899-2955042-1899-295557<NA>
46대전본병원개인대전광역시 유성구 계룡로 114 (봉명동)042-361-0506042-362-758864<NA>
47마라톤정형외과병원개인대전광역시 서구 둔산남로 87 (둔산동)042-719-1199042-719-109984<NA>
48대전코젤병원개인대전광역시 유성구 계백로 927(원내동)042-520-0000042-541-009773<NA>
49봉키병원개인대전광역시 유성구 계룡로 120-0 (봉명동, (봉명동))042-1522-6705042-716-400575<NA>
50의료법인 밝은마음의료재단 워크런병원의료법인대전광역시 유성구 온천동로 43-0 (봉명동,본관지하1~3층,9층/신관2~3층)042-607-1234042-607-1235100<NA>