Overview

Dataset statistics

Number of variables10
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory85.3 B

Variable types

Numeric2
Text3
Categorical4
DateTime1

Dataset

Description의료기관명, 종별, 병상수, 소재지, 개설주체(민간 또는 공공), 개설일자, 전화번호, 개설주체별 종류 등 경상남도 의료기관 현황에 관한 정보입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3076329

Alerts

일반 병상수 has constant value ""Constant
정신 병상수 has constant value ""Constant
연번 is highly overall correlated with 종별High correlation
종별 is highly overall correlated with 연번High correlation
종별 is highly imbalanced (51.0%)Imbalance
민간/국립/공립 is highly imbalanced (68.0%)Imbalance
연번 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:27:37.952441
Analysis finished2023-12-10 23:27:39.637863
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T08:27:39.720592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2023-12-11T08:27:39.870710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

의료기관명
Text

Distinct100
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T08:27:40.142532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length10
Min length6

Characters and Unicode

Total characters1030
Distinct characters161
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)94.2%

Sample

1st row서라벌요양병원
2nd row시티요양병원
3rd row북면이화요양병원
4th row의료법인 자은의료재단 덕산요양병원
5th row창산요양병원
ValueCountFrequency (%)
의료법인 8
 
5.9%
창산요양병원 2
 
1.5%
행복한요양병원 2
 
1.5%
굿모닝요양병원 2
 
1.5%
신세계요양병원 2
 
1.5%
우리요양병원 2
 
1.5%
의료법인양원의료재단 1
 
0.7%
녹십자요양병원 1
 
0.7%
굿뉴스요양병원 1
 
0.7%
동과의료재단 1
 
0.7%
Other values (113) 113
83.7%
2023-12-11T08:27:40.546923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 109
 
10.6%
양 106
 
10.3%
병 103
 
10.0%
요 99
 
9.6%
49
 
4.8%
의 42
 
4.1%
료 39
 
3.8%
인 30
 
2.9%
재 28
 
2.7%
단 25
 
2.4%
Other values (151) 400
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 976
94.8%
Space Separator 49
 
4.8%
Lowercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 109
 
11.2%
양 106
 
10.9%
병 103
 
10.6%
요 99
 
10.1%
의 42
 
4.3%
료 39
 
4.0%
인 30
 
3.1%
재 28
 
2.9%
단 25
 
2.6%
법 20
 
2.0%
Other values (145) 375
38.4%
Lowercase Letter
ValueCountFrequency (%)
t 1
33.3%
h 1
33.3%
e 1
33.3%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 976
94.8%
Common 51
 
5.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 109
 
11.2%
양 106
 
10.9%
병 103
 
10.6%
요 99
 
10.1%
의 42
 
4.3%
료 39
 
4.0%
인 30
 
3.1%
재 28
 
2.9%
단 25
 
2.6%
법 20
 
2.0%
Other values (145) 375
38.4%
Common
ValueCountFrequency (%)
49
96.1%
) 1
 
2.0%
( 1
 
2.0%
Latin
ValueCountFrequency (%)
t 1
33.3%
h 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 976
94.8%
ASCII 54
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 109
 
11.2%
양 106
 
10.9%
병 103
 
10.6%
요 99
 
10.1%
의 42
 
4.3%
료 39
 
4.0%
인 30
 
3.1%
재 28
 
2.9%
단 25
 
2.6%
법 20
 
2.0%
Other values (145) 375
38.4%
ASCII
ValueCountFrequency (%)
49
90.7%
) 1
 
1.9%
( 1
 
1.9%
t 1
 
1.9%
h 1
 
1.9%
e 1
 
1.9%

종별
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
요양병원
92 
요양병원
11 

Length

Max length5
Median length4
Mean length4.1067961
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요양병원 92
89.3%
요양병원 11
 
10.7%

Length

2023-12-11T08:27:40.694766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:40.807250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원 103
100.0%

일반 병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
103 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 103
100.0%

Length

2023-12-11T08:27:40.928657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:41.017610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
100.0%

정신 병상수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
103 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 103
100.0%

Length

2023-12-11T08:27:41.119287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:41.235895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 103
100.0%

요양 병상수
Real number (ℝ)

Distinct79
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean190.71845
Minimum60
Maximum466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T08:27:41.343163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile80.4
Q1136
median180
Q3214.5
95-th percentile369.6
Maximum466
Range406
Interquartile range (IQR)78.5

Descriptive statistics

Standard deviation85.556817
Coefficient of variation (CV)0.44860274
Kurtosis1.0982558
Mean190.71845
Median Absolute Deviation (MAD)42
Skewness1.1103696
Sum19644
Variance7319.969
MonotonicityNot monotonic
2023-12-11T08:27:41.483843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199 7
 
6.8%
186 3
 
2.9%
140 3
 
2.9%
136 3
 
2.9%
184 2
 
1.9%
159 2
 
1.9%
80 2
 
1.9%
177 2
 
1.9%
215 2
 
1.9%
213 2
 
1.9%
Other values (69) 75
72.8%
ValueCountFrequency (%)
60 1
1.0%
62 1
1.0%
68 1
1.0%
70 1
1.0%
80 2
1.9%
84 1
1.0%
88 1
1.0%
96 2
1.9%
97 1
1.0%
98 1
1.0%
ValueCountFrequency (%)
466 1
1.0%
433 1
1.0%
399 1
1.0%
394 1
1.0%
378 1
1.0%
370 1
1.0%
366 1
1.0%
363 1
1.0%
360 1
1.0%
359 1
1.0%

소재지
Text

Distinct101
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T08:27:41.832236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length26.592233
Min length19

Characters and Unicode

Total characters2739
Distinct characters167
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)96.1%

Sample

1st row경상남도 창원시 의창구 남산로17번길 28 (팔용동, 팔용에이스빌딩2층201호)
2nd row경상남도 창원시 의창구 대봉로26번길 12-3 (봉림동)
3rd row경상남도 창원시 의창구 북면 천주로 1092
4th row경상남도 창원시 의창구 동읍 의창대로 882
5th row경상남도 창원시 의창구 의안로2번길 31 (소답동)
ValueCountFrequency (%)
경상남도 103
 
18.0%
창원시 34
 
5.9%
김해시 28
 
4.9%
의창구 13
 
2.3%
양산시 12
 
2.1%
마산합포구 8
 
1.4%
마산회원구 8
 
1.4%
밀양시 5
 
0.9%
김해대로 5
 
0.9%
25 4
 
0.7%
Other values (278) 352
61.5%
2023-12-11T08:27:42.317852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
470
 
17.2%
남 116
 
4.2%
상 110
 
4.0%
경 105
 
3.8%
도 105
 
3.8%
시 90
 
3.3%
1 84
 
3.1%
동 82
 
3.0%
로 81
 
3.0%
) 71
 
2.6%
Other values (157) 1425
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1647
60.1%
Space Separator 470
 
17.2%
Decimal Number 418
 
15.3%
Close Punctuation 71
 
2.6%
Open Punctuation 70
 
2.6%
Other Punctuation 39
 
1.4%
Dash Punctuation 23
 
0.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 116
 
7.0%
상 110
 
6.7%
경 105
 
6.4%
도 105
 
6.4%
시 90
 
5.5%
동 82
 
5.0%
로 81
 
4.9%
원 57
 
3.5%
창 57
 
3.5%
산 47
 
2.9%
Other values (139) 797
48.4%
Decimal Number
ValueCountFrequency (%)
1 84
20.1%
2 61
14.6%
5 52
12.4%
3 52
12.4%
4 35
8.4%
7 31
 
7.4%
6 28
 
6.7%
9 26
 
6.2%
0 25
 
6.0%
8 24
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 34
87.2%
· 4
 
10.3%
. 1
 
2.6%
Space Separator
ValueCountFrequency (%)
470
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1647
60.1%
Common 1092
39.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 116
 
7.0%
상 110
 
6.7%
경 105
 
6.4%
도 105
 
6.4%
시 90
 
5.5%
동 82
 
5.0%
로 81
 
4.9%
원 57
 
3.5%
창 57
 
3.5%
산 47
 
2.9%
Other values (139) 797
48.4%
Common
ValueCountFrequency (%)
470
43.0%
1 84
 
7.7%
) 71
 
6.5%
( 70
 
6.4%
2 61
 
5.6%
5 52
 
4.8%
3 52
 
4.8%
4 35
 
3.2%
, 34
 
3.1%
7 31
 
2.8%
Other values (8) 132
 
12.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1647
60.1%
ASCII 1088
39.7%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
470
43.2%
1 84
 
7.7%
) 71
 
6.5%
( 70
 
6.4%
2 61
 
5.6%
5 52
 
4.8%
3 52
 
4.8%
4 35
 
3.2%
, 34
 
3.1%
7 31
 
2.8%
Other values (7) 128
 
11.8%
Hangul
ValueCountFrequency (%)
남 116
 
7.0%
상 110
 
6.7%
경 105
 
6.4%
도 105
 
6.4%
시 90
 
5.5%
동 82
 
5.0%
로 81
 
4.9%
원 57
 
3.5%
창 57
 
3.5%
산 47
 
2.9%
Other values (139) 797
48.4%
None
ValueCountFrequency (%)
· 4
100.0%

민간/국립/공립
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
민간
97 
공립
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민간 97
94.2%
공립 6
 
5.8%

Length

2023-12-11T08:27:42.484489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:27:42.593933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 97
94.2%
공립 6
 
5.8%

개설일자
Date

Distinct99
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum2000-05-15 00:00:00
Maximum2015-12-14 00:00:00
2023-12-11T08:27:42.719720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:42.869021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-11T08:27:43.118541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1236
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

Unique103 ?
Unique (%)100.0%

Sample

1st row055-294-1400
2nd row055-270-5500
3rd row055-293-3311
4th row055-251-2221
5th row055-298-7582
ValueCountFrequency (%)
055-294-1400 1
 
1.0%
055-781-1120 1
 
1.0%
055-356-8200 1
 
1.0%
055-355-0007 1
 
1.0%
055-356-6119 1
 
1.0%
055-350-9800 1
 
1.0%
055-355-9788 1
 
1.0%
055-329-3340 1
 
1.0%
055-330-2000 1
 
1.0%
055-338-3501 1
 
1.0%
Other values (93) 93
90.3%
2023-12-11T08:27:43.544330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 293
23.7%
0 247
20.0%
- 206
16.7%
3 101
 
8.2%
2 92
 
7.4%
7 71
 
5.7%
1 54
 
4.4%
8 45
 
3.6%
9 44
 
3.6%
4 43
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1030
83.3%
Dash Punctuation 206
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 293
28.4%
0 247
24.0%
3 101
 
9.8%
2 92
 
8.9%
7 71
 
6.9%
1 54
 
5.2%
8 45
 
4.4%
9 44
 
4.3%
4 43
 
4.2%
6 40
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1236
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 293
23.7%
0 247
20.0%
- 206
16.7%
3 101
 
8.2%
2 92
 
7.4%
7 71
 
5.7%
1 54
 
4.4%
8 45
 
3.6%
9 44
 
3.6%
4 43
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1236
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 293
23.7%
0 247
20.0%
- 206
16.7%
3 101
 
8.2%
2 92
 
7.4%
7 71
 
5.7%
1 54
 
4.4%
8 45
 
3.6%
9 44
 
3.6%
4 43
 
3.5%

Interactions

2023-12-11T08:27:39.206294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:39.038101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:39.286864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:27:39.119667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:27:43.647438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번의료기관명종별요양 병상수민간/국립/공립개설일자
연번1.0000.9540.9700.2860.0000.962
의료기관명0.9541.0001.0000.9821.0000.997
종별0.9701.0001.0000.2740.0001.000
요양 병상수0.2860.9820.2741.0000.0000.987
민간/국립/공립0.0001.0000.0000.0001.0001.000
개설일자0.9620.9971.0000.9871.0001.000
2023-12-11T08:27:43.740622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종별민간/국립/공립
종별1.0000.000
민간/국립/공립0.0001.000
2023-12-11T08:27:43.824739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번요양 병상수종별민간/국립/공립
연번1.000-0.1690.8150.000
요양 병상수-0.1691.0000.2630.000
종별0.8150.2631.0000.000
민간/국립/공립0.0000.0000.0001.000

Missing values

2023-12-11T08:27:39.415729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:27:39.578604image/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

연번의료기관명종별일반 병상수정신 병상수요양 병상수소재지민간/국립/공립개설일자전화번호
01서라벌요양병원요양병원0084경상남도 창원시 의창구 남산로17번길 28 (팔용동, 팔용에이스빌딩2층201호)민간2015-08-26055-294-1400
12시티요양병원요양병원00198경상남도 창원시 의창구 대봉로26번길 12-3 (봉림동)민간2015-06-03055-270-5500
23북면이화요양병원요양병원00126경상남도 창원시 의창구 북면 천주로 1092민간2015-06-01055-293-3311
34의료법인 자은의료재단 덕산요양병원요양병원00180경상남도 창원시 의창구 동읍 의창대로 882민간2014-08-26055-251-2221
45창산요양병원요양병원00199경상남도 창원시 의창구 의안로2번길 31 (소답동)민간2014-06-11055-298-7582
56창산요양병원요양병원00199경상남도 창원시 의창구 의안로2번길 31 (소답동)민간2014-06-11055-298-7583
67the조은요양병원요양병원00168경상남도 창원시 의창구 평산로 102 (팔용동)민간2012-05-04055-255-0017
78우리요양병원요양병원00117경상남도 창원시 의창구 의안로2번길 5 (소답동)민간2012-04-19055-259-8800
89의료법인 청민의료재단 참사랑요양병원요양병원00185경상남도 창원시 의창구 남산로1번길 60 (팔용동)민간2008-11-06055-294-7575
910행복한요양병원요양병원00272경상남도 창원시 의창구 북면 천주로 785민간2008-06-23055-259-1112
연번의료기관명종별일반 병상수정신 병상수요양 병상수소재지민간/국립/공립개설일자전화번호
9394시영의료재단 함안요양병원요양병원00106경상남도 함안군 칠원면 용산2길 45-13민간2013-10-08055-586-5009
9495소명요양병원요양병원00143경상남도 함안군 칠원면 용산2길 45-15민간2015-12-14055-589-5700
9596성실의료재단 창녕요양병원요양병원00215경상남도 창녕군 대지면 효정직교길 119민간2009-05-22055-532-1140
9697창녕성산의료재단 영산요양병원요양병원00199경상남도 창녕군 영산면 영산도천로430민간2014-03-17055-520-6000
9798남지요양병원요양병원00173경상남도 창녕군 남지읍 동포로 15민간2007-01-12055-526-0140
9899경남요양병원요양병원00145경상남도 창녕근 남지읍 남지중앙로 43민간2006-05-24055-526-3355
99100고성장수요양병원요양병원00196경상남도 고성군 고성읍 남해안 대로 2607민간2015-07-16055-672-3100
100101거창군립노인요양병원요양병원00100경상남도 거창군 거창읍 운정3길 180공립2006-01-02055-943-3333
101102의료법인아람의료재단 덕유산자연사랑요양병원요양병원00194경상남도 거창군 거창읍 거안로 1266-77민간2014-09-01055-944-5555
102103합천요양병원요양병원0080경상남도 합천군 합천읍 신소양2길 40민간2015-09-30055-933-3400