Overview

Dataset statistics

Number of variables8
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory68.4 B

Variable types

Numeric2
Categorical2
Text4

Dataset

Description광주광역시 남구의 병원 및 요양원 현황 데이터에 대한 정보(연번, 시설명, 주소, 대표자, 정원(병상) 전화번호 등) 입니다.
URLhttps://www.data.go.kr/data/15060935/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique
소재지 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:29:46.564741
Analysis finished2023-12-12 17:29:47.448820
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T02:29:47.523686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2023-12-13T02:29:47.652048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

구분
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
한방병원
16 
요양원
13 
병원
10 
요양병원(일반요양병원)
10 
종합병원
4 

Length

Max length12
Median length4
Mean length4.8703704
Min length2

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
한방병원 16
29.6%
요양원 13
24.1%
병원 10
18.5%
요양병원(일반요양병원) 10
18.5%
종합병원 4
 
7.4%
정신병원 1
 
1.9%

Length

2023-12-13T02:29:47.777688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:47.896187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한방병원 16
29.6%
요양원 13
24.1%
병원 10
18.5%
요양병원(일반요양병원 10
18.5%
종합병원 4
 
7.4%
정신병원 1
 
1.9%

시설명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T02:29:48.126355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length6.5925926
Min length4

Characters and Unicode

Total characters356
Distinct characters109
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row전남성노원
2nd row성요셉요양원
3rd row아리랑요양원
4th row한희효사랑의집
5th row효사랑고향의집
ValueCountFrequency (%)
전남성노원 1
 
1.8%
우리한방병원 1
 
1.8%
대한요양병원 1
 
1.8%
씨티재활의학과요양병원 1
 
1.8%
남구the선요양병원 1
 
1.8%
효인재활요양병원 1
 
1.8%
광주제일병원 1
 
1.8%
빛고을전남대학교병원 1
 
1.8%
광주씨티병원 1
 
1.8%
동아병원 1
 
1.8%
Other values (45) 45
81.8%
2023-12-13T02:29:48.544327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 50
 
14.0%
병 41
 
11.5%
한 20
 
5.6%
요 17
 
4.8%
방 16
 
4.5%
양 16
 
4.5%
주 10
 
2.8%
광 9
 
2.5%
랑 8
 
2.2%
사 7
 
2.0%
Other values (99) 162
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 350
98.3%
Uppercase Letter 4
 
1.1%
Space Separator 1
 
0.3%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 50
 
14.3%
병 41
 
11.7%
한 20
 
5.7%
요 17
 
4.9%
방 16
 
4.6%
양 16
 
4.6%
주 10
 
2.9%
광 9
 
2.6%
랑 8
 
2.3%
사 7
 
2.0%
Other values (93) 156
44.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
25.0%
H 1
25.0%
E 1
25.0%
W 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 350
98.3%
Latin 4
 
1.1%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 50
 
14.3%
병 41
 
11.7%
한 20
 
5.7%
요 17
 
4.9%
방 16
 
4.6%
양 16
 
4.6%
주 10
 
2.9%
광 9
 
2.6%
랑 8
 
2.3%
사 7
 
2.0%
Other values (93) 156
44.6%
Latin
ValueCountFrequency (%)
T 1
25.0%
H 1
25.0%
E 1
25.0%
W 1
25.0%
Common
ValueCountFrequency (%)
1
50.0%
2 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 350
98.3%
ASCII 6
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 50
 
14.3%
병 41
 
11.7%
한 20
 
5.7%
요 17
 
4.9%
방 16
 
4.6%
양 16
 
4.6%
주 10
 
2.9%
광 9
 
2.6%
랑 8
 
2.3%
사 7
 
2.0%
Other values (93) 156
44.6%
ASCII
ValueCountFrequency (%)
T 1
16.7%
H 1
16.7%
E 1
16.7%
1
16.7%
W 1
16.7%
2 1
16.7%

소재지
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T02:29:48.880190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length33
Mean length26.777778
Min length20

Characters and Unicode

Total characters1446
Distinct characters104
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

Unique54 ?
Unique (%)100.0%

Sample

1st row광주광역시 남구 효우로230번길 26-20 (행암동, 전남성노원)
2nd row광주광역시 남구 입하2안길 20-22 (임암동)
3rd row광주광역시 남구 복수마을안길 3-4 (이장동)
4th row광주광역시 남구 월지길 23 (월성동)
5th row광주광역시 남구 송암로98번길 52 (송하동)
ValueCountFrequency (%)
광주광역시 54
 
18.1%
남구 54
 
18.1%
봉선동 9
 
3.0%
주월동 8
 
2.7%
월산동 7
 
2.3%
백운동 6
 
2.0%
서문대로 5
 
1.7%
진월동 4
 
1.3%
회재로 4
 
1.3%
대남대로 4
 
1.3%
Other values (120) 144
48.2%
2023-12-13T02:29:49.404515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
245
 
16.9%
광 109
 
7.5%
남 65
 
4.5%
주 63
 
4.4%
동 56
 
3.9%
구 55
 
3.8%
역 54
 
3.7%
시 54
 
3.7%
) 54
 
3.7%
( 54
 
3.7%
Other values (94) 637
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 827
57.2%
Space Separator 245
 
16.9%
Decimal Number 214
 
14.8%
Close Punctuation 54
 
3.7%
Open Punctuation 54
 
3.7%
Other Punctuation 31
 
2.1%
Dash Punctuation 12
 
0.8%
Math Symbol 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 109
 
13.2%
남 65
 
7.9%
주 63
 
7.6%
동 56
 
6.8%
구 55
 
6.7%
역 54
 
6.5%
시 54
 
6.5%
로 46
 
5.6%
대 22
 
2.7%
월 22
 
2.7%
Other values (78) 281
34.0%
Decimal Number
ValueCountFrequency (%)
1 47
22.0%
2 36
16.8%
3 25
11.7%
5 20
9.3%
0 17
 
7.9%
4 17
 
7.9%
8 15
 
7.0%
7 13
 
6.1%
6 13
 
6.1%
9 11
 
5.1%
Space Separator
ValueCountFrequency (%)
245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 827
57.2%
Common 619
42.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 109
 
13.2%
남 65
 
7.9%
주 63
 
7.6%
동 56
 
6.8%
구 55
 
6.7%
역 54
 
6.5%
시 54
 
6.5%
로 46
 
5.6%
대 22
 
2.7%
월 22
 
2.7%
Other values (78) 281
34.0%
Common
ValueCountFrequency (%)
245
39.6%
) 54
 
8.7%
( 54
 
8.7%
1 47
 
7.6%
2 36
 
5.8%
, 31
 
5.0%
3 25
 
4.0%
5 20
 
3.2%
0 17
 
2.7%
4 17
 
2.7%
Other values (6) 73
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 827
57.2%
ASCII 619
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
245
39.6%
) 54
 
8.7%
( 54
 
8.7%
1 47
 
7.6%
2 36
 
5.8%
, 31
 
5.0%
3 25
 
4.0%
5 20
 
3.2%
0 17
 
2.7%
4 17
 
2.7%
Other values (6) 73
 
11.8%
Hangul
ValueCountFrequency (%)
광 109
 
13.2%
남 65
 
7.9%
주 63
 
7.6%
동 56
 
6.8%
구 55
 
6.7%
역 54
 
6.5%
시 54
 
6.5%
로 46
 
5.6%
대 22
 
2.7%
월 22
 
2.7%
Other values (78) 281
34.0%

대표자
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T02:29:49.667046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length3
Mean length4.0555556
Min length2

Characters and Unicode

Total characters219
Distinct characters90
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row정순덕
2nd row정애순
3rd row최민순
4th row조한희
5th row최길철
ValueCountFrequency (%)
전남대학교(안영근 2
 
3.6%
권칠용 1
 
1.8%
임지웅 1
 
1.8%
문학규 1
 
1.8%
지명준 1
 
1.8%
가평의료재단(김수영 1
 
1.8%
조태현 1
 
1.8%
김영철 1
 
1.8%
김명종 1
 
1.8%
서승권 1
 
1.8%
Other values (44) 44
80.0%
2023-12-13T02:29:50.107601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 14
 
6.4%
학 7
 
3.2%
영 7
 
3.2%
이 7
 
3.2%
( 6
 
2.7%
) 6
 
2.7%
인 5
 
2.3%
권 4
 
1.8%
재 4
 
1.8%
의 4
 
1.8%
Other values (80) 155
70.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
94.1%
Open Punctuation 6
 
2.7%
Close Punctuation 6
 
2.7%
Space Separator 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 14
 
6.8%
학 7
 
3.4%
영 7
 
3.4%
이 7
 
3.4%
인 5
 
2.4%
권 4
 
1.9%
재 4
 
1.9%
의 4
 
1.9%
료 4
 
1.9%
종 4
 
1.9%
Other values (77) 146
70.9%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
94.1%
Common 13
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 14
 
6.8%
학 7
 
3.4%
영 7
 
3.4%
이 7
 
3.4%
인 5
 
2.4%
권 4
 
1.9%
재 4
 
1.9%
의 4
 
1.9%
료 4
 
1.9%
종 4
 
1.9%
Other values (77) 146
70.9%
Common
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
94.1%
ASCII 13
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 14
 
6.8%
학 7
 
3.4%
영 7
 
3.4%
이 7
 
3.4%
인 5
 
2.4%
권 4
 
1.9%
재 4
 
1.9%
의 4
 
1.9%
료 4
 
1.9%
종 4
 
1.9%
Other values (77) 146
70.9%
ASCII
ValueCountFrequency (%)
( 6
46.2%
) 6
46.2%
1
 
7.7%

연락처
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-12-13T02:29:50.462254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.87037
Min length8

Characters and Unicode

Total characters641
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

Unique54 ?
Unique (%)100.0%

Sample

1st row062-674-6700
2nd row062-672-1134
3rd row062-682-2700
4th row062-374-8828
5th row062-456-9988
ValueCountFrequency (%)
062-674-6700 1
 
1.9%
062-417-1010 1
 
1.9%
062-350-7110 1
 
1.9%
062-520-9000 1
 
1.9%
062-604-5030 1
 
1.9%
062-670-3900 1
 
1.9%
062-720-1100 1
 
1.9%
062-676-6700 1
 
1.9%
1899-0000 1
 
1.9%
062-460-7000 1
 
1.9%
Other values (44) 44
81.5%
2023-12-13T02:29:51.048546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 162
25.3%
- 106
16.5%
6 97
15.1%
2 76
11.9%
1 50
 
7.8%
7 44
 
6.9%
5 35
 
5.5%
8 21
 
3.3%
9 18
 
2.8%
4 17
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 535
83.5%
Dash Punctuation 106
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 162
30.3%
6 97
18.1%
2 76
14.2%
1 50
 
9.3%
7 44
 
8.2%
5 35
 
6.5%
8 21
 
3.9%
9 18
 
3.4%
4 17
 
3.2%
3 15
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 641
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 162
25.3%
- 106
16.5%
6 97
15.1%
2 76
11.9%
1 50
 
7.8%
7 44
 
6.9%
5 35
 
5.5%
8 21
 
3.3%
9 18
 
2.8%
4 17
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 641
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 162
25.3%
- 106
16.5%
6 97
15.1%
2 76
11.9%
1 50
 
7.8%
7 44
 
6.9%
5 35
 
5.5%
8 21
 
3.3%
9 18
 
2.8%
4 17
 
2.7%

정원(병상)
Real number (ℝ)

Distinct46
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114.5
Minimum9
Maximum574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2023-12-13T02:29:51.259151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile19.25
Q155.25
median68
Q3126.25
95-th percentile334.75
Maximum574
Range565
Interquartile range (IQR)71

Descriptive statistics

Standard deviation114.24762
Coefficient of variation (CV)0.99779582
Kurtosis4.2101743
Mean114.5
Median Absolute Deviation (MAD)35.5
Skewness1.9809106
Sum6183
Variance13052.519
MonotonicityNot monotonic
2023-12-13T02:29:51.436139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
60 4
 
7.4%
68 4
 
7.4%
29 2
 
3.7%
21 2
 
3.7%
46 1
 
1.9%
235 1
 
1.9%
326 1
 
1.9%
325 1
 
1.9%
297 1
 
1.9%
130 1
 
1.9%
Other values (36) 36
66.7%
ValueCountFrequency (%)
9 1
1.9%
10 1
1.9%
16 1
1.9%
21 2
3.7%
25 1
1.9%
28 1
1.9%
29 2
3.7%
30 1
1.9%
35 1
1.9%
46 1
1.9%
ValueCountFrequency (%)
574 1
1.9%
371 1
1.9%
351 1
1.9%
326 1
1.9%
325 1
1.9%
297 1
1.9%
276 1
1.9%
260 1
1.9%
235 1
1.9%
208 1
1.9%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2023-04-27
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-27
2nd row2023-04-27
3rd row2023-04-27
4th row2023-04-27
5th row2023-04-27

Common Values

ValueCountFrequency (%)
2023-04-27 54
100.0%

Length

2023-12-13T02:29:51.616462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:29:51.763735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-27 54
100.0%

Interactions

2023-12-13T02:29:47.088280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:29:46.923019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:29:47.180004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:29:47.001903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:29:51.864735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분시설명소재지대표자연락처정원(병상)
연번1.0000.9121.0001.0000.9351.0000.536
구분0.9121.0001.0001.0000.4951.0000.708
시설명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
대표자0.9350.4951.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
정원(병상)0.5360.7081.0001.0001.0001.0001.000
2023-12-13T02:29:52.013027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원(병상)구분
연번1.0000.3250.747
정원(병상)0.3251.0000.482
구분0.7470.4821.000

Missing values

2023-12-13T02:29:47.294695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:29:47.400653image/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

연번구분시설명소재지대표자연락처정원(병상)데이터기준일
01요양원전남성노원광주광역시 남구 효우로230번길 26-20 (행암동, 전남성노원)정순덕062-674-6700462023-04-27
12요양원성요셉요양원광주광역시 남구 입하2안길 20-22 (임암동)정애순062-672-1134652023-04-27
23요양원아리랑요양원광주광역시 남구 복수마을안길 3-4 (이장동)최민순062-682-2700292023-04-27
34요양원한희효사랑의집광주광역시 남구 월지길 23 (월성동)조한희062-374-8828282023-04-27
45요양원효사랑고향의집광주광역시 남구 송암로98번길 52 (송하동)최길철062-456-9988212023-04-27
56요양원선경우전문요양원광주광역시 남구 판촌길 38 (양촌동)이종열062-653-1004662023-04-27
67요양원효애보람의집광주광역시 남구 용대로53번길 16-15 (봉선동)이화옥062-672-9088102023-04-27
78요양원인애W사랑의집광주광역시 남구 용대로 91 (봉선동)김동욱062-653-0247832023-04-27
89요양원전사랑힐링센터광주광역시 남구 서동로2번안길 5 (서동)전미경062-671-6699162023-04-27
910요양원시온요양원광주광역시 남구 군분로56번길 7 (월산동)이순심062-384-2304212023-04-27
연번구분시설명소재지대표자연락처정원(병상)데이터기준일
4445한방병원봉선한방병원광주광역시 남구 봉선2로 85, 2,4,5층 (봉선동, 청호빌딩)신현권062-365-1075602023-04-27
4546한방병원한마음 한방병원광주광역시 남구 효덕로 302-1 (진월동, 한마음한의원)최해덕062-671-3000622023-04-27
4647한방병원자담한방병원광주광역시 남구 제석로 110 (봉선동)신우철062-681-8000722023-04-27
4748한방병원영주한방병원광주광역시 남구 금화로 418, 2~5층 (월산동)장영주062-413-1075602023-04-27
4849한방병원안녕한방병원광주광역시 남구 중앙로 80 (서동)김예희062-452-8585682023-04-27
4950한방병원주월한방병원광주광역시 남구 서문대로 739, 2~4층 (주월동, 귀빈빌딩)김명하062-710-7117552023-04-27
5051한방병원동아한방병원광주광역시 남구 독립로 65, 2층 (백운동, 동아일보)강현석062-606-3000682023-04-27
5152한방병원삼익한방병원광주광역시 남구 봉선2로 49 (봉선동)안태훈062-710-9000582023-04-27
5253한방병원동신대학교광주한방병원광주광역시 남구 월산로 141 (월산동)학교법인해인학원(김필식)062-350-7110742023-04-27
5354한방병원원광대학교광주한방병원광주광역시 남구 회재로 1140-23 (주월동)학교법인원광학원(성시종)062-670-6700762023-04-27