Overview

Dataset statistics

Number of variables7
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory58.7 B

Variable types

Text4
Categorical2
Numeric1

Dataset

Description국립암센터에서 보유하는 호스피스완화의료 전문기관에 대한 지역별 병원 목록 리스트로 호스피스 완화의료, 전문기관 병원 리스트를 제공함
Author국립암센터
URLhttps://www.data.go.kr/data/15018868/fileData.do

Alerts

우편번호 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 우편번호High correlation
기관명 has unique valuesUnique
우편번호 has unique valuesUnique
주소 has unique valuesUnique
상세주소 has unique valuesUnique
문의전화 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:18:57.388521
Analysis finished2023-12-12 19:18:58.639566
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-13T04:18:58.837235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length7.6794872
Min length4

Characters and Unicode

Total characters599
Distinct characters126
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row충남대학교병원
2nd row대구의료원
3rd row대구파티마병원
4th row엠마오사랑병원
5th row전`진`상의원
ValueCountFrequency (%)
충남대학교병원 1
 
1.2%
안성 1
 
1.2%
메트로병원 1
 
1.2%
중앙보훈병원 1
 
1.2%
국립암센터 1
 
1.2%
대전보훈병원 1
 
1.2%
서울특별시서남병원 1
 
1.2%
새오름가정의원 1
 
1.2%
국제성모병원 1
 
1.2%
가톨릭관동대학교 1
 
1.2%
Other values (73) 73
88.0%
2023-12-13T04:18:59.332620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 88
 
14.7%
병 56
 
9.3%
대 33
 
5.5%
의 27
 
4.5%
학 25
 
4.2%
교 25
 
4.2%
성 15
 
2.5%
가 12
 
2.0%
료 12
 
2.0%
천 9
 
1.5%
Other values (116) 297
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 590
98.5%
Space Separator 5
 
0.8%
Modifier Symbol 2
 
0.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 88
 
14.9%
병 56
 
9.5%
대 33
 
5.6%
의 27
 
4.6%
학 25
 
4.2%
교 25
 
4.2%
성 15
 
2.5%
가 12
 
2.0%
료 12
 
2.0%
천 9
 
1.5%
Other values (112) 288
48.8%
Space Separator
ValueCountFrequency (%)
5
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 590
98.5%
Common 9
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 88
 
14.9%
병 56
 
9.5%
대 33
 
5.6%
의 27
 
4.6%
학 25
 
4.2%
교 25
 
4.2%
성 15
 
2.5%
가 12
 
2.0%
료 12
 
2.0%
천 9
 
1.5%
Other values (112) 288
48.8%
Common
ValueCountFrequency (%)
5
55.6%
` 2
 
22.2%
) 1
 
11.1%
( 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 590
98.5%
ASCII 9
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 88
 
14.9%
병 56
 
9.5%
대 33
 
5.6%
의 27
 
4.6%
학 25
 
4.2%
교 25
 
4.2%
성 15
 
2.5%
가 12
 
2.0%
료 12
 
2.0%
천 9
 
1.5%
Other values (112) 288
48.8%
ASCII
ValueCountFrequency (%)
5
55.6%
` 2
 
22.2%
) 1
 
11.1%
( 1
 
11.1%

기관종류
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size756.0 B
종합병원
40 
상급종합병원
16 
의원
12 
병원
10 

Length

Max length6
Median length4
Mean length3.8461538
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상급종합병원
2nd row종합병원
3rd row종합병원
4th row병원
5th row의원

Common Values

ValueCountFrequency (%)
종합병원 40
51.3%
상급종합병원 16
 
20.5%
의원 12
 
15.4%
병원 10
 
12.8%

Length

2023-12-13T04:18:59.520000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:18:59.664347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종합병원 40
51.3%
상급종합병원 16
 
20.5%
의원 12
 
15.4%
병원 10
 
12.8%

지역
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Memory size756.0 B
경기
17 
서울
13 
대구
7 
전북
6 
부산
6 
Other values (11)
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

1st row대전
2nd row대구
3rd row대구
4th row전북
5th row서울

Common Values

ValueCountFrequency (%)
경기 17
21.8%
서울 13
16.7%
대구 7
9.0%
전북 6
 
7.7%
부산 6
 
7.7%
전남 4
 
5.1%
인천 4
 
5.1%
대전 3
 
3.8%
강원 3
 
3.8%
광주 3
 
3.8%
Other values (6) 12
15.4%

Length

2023-12-13T04:18:59.796579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기 17
21.8%
서울 13
16.7%
대구 7
9.0%
전북 6
 
7.7%
부산 6
 
7.7%
전남 4
 
5.1%
인천 4
 
5.1%
대전 3
 
3.8%
강원 3
 
3.8%
광주 3
 
3.8%
Other values (6) 12
15.4%

우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31127.09
Minimum1812
Maximum63241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-13T04:18:59.970273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1812
5-th percentile2580.25
Q114046.5
median30438
Q349173.75
95-th percentile61307.4
Maximum63241
Range61429
Interquartile range (IQR)35127.25

Descriptive statistics

Standard deviation19739.693
Coefficient of variation (CV)0.63416443
Kurtosis-1.4366599
Mean31127.09
Median Absolute Deviation (MAD)18650.5
Skewness0.078622986
Sum2427913
Variance3.8965549 × 108
MonotonicityNot monotonic
2023-12-13T04:19:00.140443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35015 1
 
1.3%
10949 1
 
1.3%
5368 1
 
1.3%
10408 1
 
1.3%
34314 1
 
1.3%
8049 1
 
1.3%
14911 1
 
1.3%
22711 1
 
1.3%
21431 1
 
1.3%
2053 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
1812 1
1.3%
2053 1
1.3%
2062 1
1.3%
2559 1
1.3%
2584 1
1.3%
3433 1
1.3%
4564 1
1.3%
5368 1
1.3%
6591 1
1.3%
7345 1
1.3%
ValueCountFrequency (%)
63241 1
1.3%
63021 1
1.3%
62284 1
1.3%
61661 1
1.3%
61245 1
1.3%
58615 1
1.3%
58128 1
1.3%
57940 1
1.3%
57931 1
1.3%
55726 1
1.3%

주소
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-13T04:19:00.599582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length18.24359
Min length15

Characters and Unicode

Total characters1423
Distinct characters152
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

Unique78 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 문화로 282
2nd row대구광역시 서구 평리로 157
3rd row대구광역시 동구 아양로 99
4th row전라북도 전주시 완산구 서원로 402-35
5th row서울특별시 금천구 탑골로3가길 22
ValueCountFrequency (%)
경기도 17
 
5.1%
서울특별시 13
 
3.9%
대구광역시 7
 
2.1%
부산광역시 6
 
1.8%
중구 6
 
1.8%
전라북도 6
 
1.8%
서구 4
 
1.2%
전라남도 4
 
1.2%
인천광역시 4
 
1.2%
대전광역시 3
 
0.9%
Other values (224) 266
79.2%
2023-12-13T04:19:01.295094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
258
 
18.1%
시 77
 
5.4%
로 75
 
5.3%
구 65
 
4.6%
2 47
 
3.3%
도 44
 
3.1%
1 40
 
2.8%
광 29
 
2.0%
3 27
 
1.9%
5 26
 
1.8%
Other values (142) 735
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 918
64.5%
Space Separator 258
 
18.1%
Decimal Number 242
 
17.0%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 77
 
8.4%
로 75
 
8.2%
구 65
 
7.1%
도 44
 
4.8%
광 29
 
3.2%
역 25
 
2.7%
서 25
 
2.7%
경 24
 
2.6%
대 23
 
2.5%
산 22
 
2.4%
Other values (130) 509
55.4%
Decimal Number
ValueCountFrequency (%)
2 47
19.4%
1 40
16.5%
3 27
11.2%
5 26
10.7%
7 23
9.5%
4 18
 
7.4%
6 16
 
6.6%
8 16
 
6.6%
0 16
 
6.6%
9 13
 
5.4%
Space Separator
ValueCountFrequency (%)
258
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 918
64.5%
Common 505
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 77
 
8.4%
로 75
 
8.2%
구 65
 
7.1%
도 44
 
4.8%
광 29
 
3.2%
역 25
 
2.7%
서 25
 
2.7%
경 24
 
2.6%
대 23
 
2.5%
산 22
 
2.4%
Other values (130) 509
55.4%
Common
ValueCountFrequency (%)
258
51.1%
2 47
 
9.3%
1 40
 
7.9%
3 27
 
5.3%
5 26
 
5.1%
7 23
 
4.6%
4 18
 
3.6%
6 16
 
3.2%
8 16
 
3.2%
0 16
 
3.2%
Other values (2) 18
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 918
64.5%
ASCII 505
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
258
51.1%
2 47
 
9.3%
1 40
 
7.9%
3 27
 
5.3%
5 26
 
5.1%
7 23
 
4.6%
4 18
 
3.6%
6 16
 
3.2%
8 16
 
3.2%
0 16
 
3.2%
Other values (2) 18
 
3.6%
Hangul
ValueCountFrequency (%)
시 77
 
8.4%
로 75
 
8.2%
구 65
 
7.1%
도 44
 
4.8%
광 29
 
3.2%
역 25
 
2.7%
서 25
 
2.7%
경 24
 
2.6%
대 23
 
2.5%
산 22
 
2.4%
Other values (130) 509
55.4%

상세주소
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-13T04:19:01.664615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length14.897436
Min length4

Characters and Unicode

Total characters1162
Distinct characters179
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)100.0%

Sample

1st row충남대학교병원 (대사동)
2nd row대구의료원 호스피스센터 (중리동)
3rd row대구파티마병원 5층 (신암동)
4th row엠마오사랑병원 (중화산동1가)
5th row전`진`상의원 (시흥동)
ValueCountFrequency (%)
가톨릭대학교 5
 
2.7%
5층 4
 
2.1%
서울특별시 4
 
2.1%
완화의료병동 3
 
1.6%
3층 3
 
1.6%
호스피스완화의료병동 2
 
1.1%
6층 2
 
1.1%
호스피스완화의료센터 2
 
1.1%
마리아병동 2
 
1.1%
안양동 2
 
1.1%
Other values (157) 158
84.5%
2023-12-13T04:19:02.120075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
9.4%
동 92
 
7.9%
( 75
 
6.5%
) 75
 
6.5%
원 65
 
5.6%
병 55
 
4.7%
대 32
 
2.8%
의 29
 
2.5%
층 20
 
1.7%
학 19
 
1.6%
Other values (169) 591
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 845
72.7%
Space Separator 109
 
9.4%
Open Punctuation 75
 
6.5%
Close Punctuation 75
 
6.5%
Decimal Number 49
 
4.2%
Other Punctuation 4
 
0.3%
Math Symbol 2
 
0.2%
Modifier Symbol 2
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 92
 
10.9%
원 65
 
7.7%
병 55
 
6.5%
대 32
 
3.8%
의 29
 
3.4%
층 20
 
2.4%
학 19
 
2.2%
스 18
 
2.1%
교 17
 
2.0%
료 16
 
1.9%
Other values (152) 482
57.0%
Decimal Number
ValueCountFrequency (%)
3 11
22.4%
5 10
20.4%
7 5
10.2%
4 5
10.2%
2 4
 
8.2%
1 4
 
8.2%
8 3
 
6.1%
6 3
 
6.1%
9 2
 
4.1%
0 2
 
4.1%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 845
72.7%
Common 317
 
27.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 92
 
10.9%
원 65
 
7.7%
병 55
 
6.5%
대 32
 
3.8%
의 29
 
3.4%
층 20
 
2.4%
학 19
 
2.2%
스 18
 
2.1%
교 17
 
2.0%
료 16
 
1.9%
Other values (152) 482
57.0%
Common
ValueCountFrequency (%)
109
34.4%
( 75
23.7%
) 75
23.7%
3 11
 
3.5%
5 10
 
3.2%
7 5
 
1.6%
4 5
 
1.6%
2 4
 
1.3%
1 4
 
1.3%
, 4
 
1.3%
Other values (7) 15
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 845
72.7%
ASCII 317
 
27.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
109
34.4%
( 75
23.7%
) 75
23.7%
3 11
 
3.5%
5 10
 
3.2%
7 5
 
1.6%
4 5
 
1.6%
2 4
 
1.3%
1 4
 
1.3%
, 4
 
1.3%
Other values (7) 15
 
4.7%
Hangul
ValueCountFrequency (%)
동 92
 
10.9%
원 65
 
7.7%
병 55
 
6.5%
대 32
 
3.8%
의 29
 
3.4%
층 20
 
2.4%
학 19
 
2.2%
스 18
 
2.1%
교 17
 
2.0%
료 16
 
1.9%
Other values (152) 482
57.0%

문의전화
Text

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size756.0 B
2023-12-13T04:19:02.407109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.948718
Min length11

Characters and Unicode

Total characters932
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

Unique78 ?
Unique (%)100.0%

Sample

1st row042-280-7640
2nd row053-560-9300
3rd row053-940-7515
4th row063-230-5300
5th row02-802-9313
ValueCountFrequency (%)
042-280-7640 1
 
1.3%
052-250-7847 1
 
1.3%
042-939-0303 1
 
1.3%
02-6300-9088 1
 
1.3%
031-313-9809 1
 
1.3%
032-290-3638 1
 
1.3%
032-280-6201 1
 
1.3%
031-934-5777 1
 
1.3%
032-890-3744 1
 
1.3%
031-828-5461 1
 
1.3%
Other values (68) 68
87.2%
2023-12-13T04:19:02.790316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 162
17.4%
- 156
16.7%
2 105
11.3%
3 98
10.5%
5 75
8.0%
9 64
 
6.9%
1 63
 
6.8%
6 62
 
6.7%
7 55
 
5.9%
4 48
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 776
83.3%
Dash Punctuation 156
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 162
20.9%
2 105
13.5%
3 98
12.6%
5 75
9.7%
9 64
 
8.2%
1 63
 
8.1%
6 62
 
8.0%
7 55
 
7.1%
4 48
 
6.2%
8 44
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 156
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 932
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 162
17.4%
- 156
16.7%
2 105
11.3%
3 98
10.5%
5 75
8.0%
9 64
 
6.9%
1 63
 
6.8%
6 62
 
6.7%
7 55
 
5.9%
4 48
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 932
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 162
17.4%
- 156
16.7%
2 105
11.3%
3 98
10.5%
5 75
8.0%
9 64
 
6.9%
1 63
 
6.8%
6 62
 
6.7%
7 55
 
5.9%
4 48
 
5.2%

Interactions

2023-12-13T04:18:57.922534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:19:02.896198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명기관종류지역우편번호주소상세주소문의전화
기관명1.0001.0001.0001.0001.0001.0001.000
기관종류1.0001.0000.0000.0001.0001.0001.000
지역1.0000.0001.0000.9801.0001.0001.000
우편번호1.0000.0000.9801.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
상세주소1.0001.0001.0001.0001.0001.0001.000
문의전화1.0001.0001.0001.0001.0001.0001.000
2023-12-13T04:19:03.016771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관종류지역
기관종류1.0000.000
지역0.0001.000
2023-12-13T04:19:03.095622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호기관종류지역
우편번호1.0000.0000.865
기관종류0.0001.0000.000
지역0.8650.0001.000

Missing values

2023-12-13T04:18:58.410353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:18:58.586240image/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

기관명기관종류지역우편번호주소상세주소문의전화
0충남대학교병원상급종합병원대전35015대전광역시 중구 문화로 282충남대학교병원 (대사동)042-280-7640
1대구의료원종합병원대구41845대구광역시 서구 평리로 157대구의료원 호스피스센터 (중리동)053-560-9300
2대구파티마병원종합병원대구41199대구광역시 동구 아양로 99대구파티마병원 5층 (신암동)053-940-7515
3엠마오사랑병원병원전북55046전라북도 전주시 완산구 서원로 402-35엠마오사랑병원 (중화산동1가)063-230-5300
4전`진`상의원의원서울8574서울특별시 금천구 탑골로3가길 22전`진`상의원 (시흥동)02-802-9313
5부산성모병원종합병원부산48575부산광역시 남구 용호로232번길 25-14부산성모병원 (용호동)051-933-7133
6고려대구로병원상급종합병원서울8308서울특별시 구로구 구로동로 148고려대구로병원 (구로동)02-2626-2807
7성이시돌복지의원의원제주63021제주특별자치도 제주시 한림읍 산록남로 50성이시돌복지의원064-796-2244
8계명대학교동산병원상급종합병원대구41931대구광역시 중구 달성로 56계명대학교 동산병원 74병동 (동산동)053-250-7738
9목포중앙병원종합병원전남58615전라남도 목포시 영산로 623(석현동)061-280-3870
기관명기관종류지역우편번호주소상세주소문의전화
68고신대학교 복음병원상급종합병원부산49267부산광역시 서구 감천로 262고신대학교복음병원 525병동 (암남동)051-990-5226
69안성 하랑내과의원의원경기17548경기도 안성시 공도읍 상마정앞길 57하랑내과031-618-8814
70지샘병원종합병원경기15839경기도 군포시 군포로 5918층 완화의료병동 (당동)031-389-3892
71사랑나무의원의원대구42037대구광역시 수성구 화랑로 112-1사랑나무의원 (만촌동)053-217-9500
72군산의료원종합병원전북54105전라북도 군산시 의료원로 27전라북도 군산의료원 (지곡동)063-472-5850
73대자인병원종합병원전북54910전라북도 전주시 덕진구 견훤로 390(우아동3가) 대자인병원063-250-8761
74계명대학교경주동산병원병원경북38144경상북도 경주시 봉황로 65계명대학교 경주동산병원 (서부동)054-770-9576
75희연의원의원경남51420경상남도 창원시 성산구 원이대로393번길 255층 희연 호스피스 클리닉 (반지동)055-270-9698
76안동의료원종합병원경북36694경상북도 안동시 태사2길 55(북문동470번지) 경상북도안동의료원 (북문동)054-850-6550
77메리놀병원종합병원부산48972부산광역시 중구 중구로 121(대청동4가)051-461-2471