Overview

Dataset statistics

Number of variables8
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory68.4 B

Variable types

Text4
Categorical4

Dataset

Description충청남도 논산시 노인복지의료시설 파일데이터로 기관명, 급여종류, 사업자구분, 행정동, 소재지도로명주소, 소재지지번주소, 전화번호 정보를 제공하고 있습니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=390&beforeMenuCd=DOM_000000201001001000&publicdatapk=3078229

Alerts

기준일자 has constant value ""Constant
사업자구분 is highly imbalanced (53.1%)Imbalance
기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:44:24.699854
Analysis finished2024-01-09 22:44:25.157572
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-10T07:44:25.279007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length6.2333333
Min length3

Characters and Unicode

Total characters187
Distinct characters90
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row섭리마을
2nd row사랑의집
3rd row큰사랑섬김의집
4th row호산나요양원
5th row열린요양원
ValueCountFrequency (%)
섭리마을 1
 
3.3%
사랑의집 1
 
3.3%
계룡편안한요양원 1
 
3.3%
성심요양원 1
 
3.3%
양촌수양관요양원 1
 
3.3%
세빈요양원 1
 
3.3%
상월애요양원 1
 
3.3%
논산실버효센터 1
 
3.3%
가온요양원 1
 
3.3%
해피니스요양원 1
 
3.3%
Other values (20) 20
66.7%
2024-01-10T07:44:25.575017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 21
 
11.2%
원 20
 
10.7%
요 19
 
10.2%
집 7
 
3.7%
사 6
 
3.2%
의 6
 
3.2%
인 5
 
2.7%
노 5
 
2.7%
랑 4
 
2.1%
한 3
 
1.6%
Other values (80) 91
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 185
98.9%
Math Symbol 1
 
0.5%
Uppercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 21
 
11.4%
원 20
 
10.8%
요 19
 
10.3%
집 7
 
3.8%
사 6
 
3.2%
의 6
 
3.2%
인 5
 
2.7%
노 5
 
2.7%
랑 4
 
2.2%
한 3
 
1.6%
Other values (78) 89
48.1%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 185
98.9%
Common 1
 
0.5%
Latin 1
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 21
 
11.4%
원 20
 
10.8%
요 19
 
10.3%
집 7
 
3.8%
사 6
 
3.2%
의 6
 
3.2%
인 5
 
2.7%
노 5
 
2.7%
랑 4
 
2.2%
한 3
 
1.6%
Other values (78) 89
48.1%
Common
ValueCountFrequency (%)
+ 1
100.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 185
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 21
 
11.4%
원 20
 
10.8%
요 19
 
10.3%
집 7
 
3.8%
사 6
 
3.2%
의 6
 
3.2%
인 5
 
2.7%
노 5
 
2.7%
랑 4
 
2.2%
한 3
 
1.6%
Other values (78) 89
48.1%
ASCII
ValueCountFrequency (%)
+ 1
50.0%
A 1
50.0%

급여종류
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
노인요양시설
22 
노인요양공동생활가정
8 

Length

Max length10
Median length6
Mean length7.0666667
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인요양시설 22
73.3%
노인요양공동생활가정 8
 
26.7%

Length

2024-01-10T07:44:25.702990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:44:25.817241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인요양시설 22
73.3%
노인요양공동생활가정 8
 
26.7%

사업자구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
개인
27 
법인
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 27
90.0%
법인 3
 
10.0%

Length

2024-01-10T07:44:25.927955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:44:26.028703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 27
90.0%
법인 3
 
10.0%

행정동
Categorical

Distinct13
Distinct (%)43.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
연산면
8 
양촌면
4 
벌곡면
4 
은진면
4 
광석면
2 
Other values (8)
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row광석면
2nd row양촌면
3rd row광석면
4th row벌곡면
5th row양촌면

Common Values

ValueCountFrequency (%)
연산면 8
26.7%
양촌면 4
13.3%
벌곡면 4
13.3%
은진면 4
13.3%
광석면 2
 
6.7%
노성면 1
 
3.3%
성동면 1
 
3.3%
강경읍 1
 
3.3%
부창동 1
 
3.3%
연무읍 1
 
3.3%
Other values (3) 3
 
10.0%

Length

2024-01-10T07:44:26.132484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연산면 8
26.7%
양촌면 4
13.3%
벌곡면 4
13.3%
은진면 4
13.3%
광석면 2
 
6.7%
노성면 1
 
3.3%
성동면 1
 
3.3%
강경읍 1
 
3.3%
부창동 1
 
3.3%
연무읍 1
 
3.3%
Other values (3) 3
 
10.0%

소재지도로명주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-10T07:44:26.338617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.9
Min length16

Characters and Unicode

Total characters657
Distinct characters77
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

Unique30 ?
Unique (%)100.0%

Sample

1st row충청남도 논산시 광석면 왕전길 93
2nd row충청남도 논산시 양촌면 신기1길 3-20
3rd row충청남도 논산시 광석면 논산평야로 752-36
4th row충청남도 논산시 벌곡면 검천길 169
5th row충청남도 논산시 양촌면 매죽헌로 1370-8
ValueCountFrequency (%)
충청남도 30
20.3%
논산시 30
20.3%
연산면 8
 
5.4%
양촌면 4
 
2.7%
벌곡면 4
 
2.7%
은진면 4
 
2.7%
천호4길 2
 
1.4%
광석면 2
 
1.4%
48 2
 
1.4%
연무읍 1
 
0.7%
Other values (61) 61
41.2%
2024-01-10T07:44:26.697101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
18.0%
산 43
 
6.5%
논 33
 
5.0%
시 31
 
4.7%
충 30
 
4.6%
남 30
 
4.6%
도 30
 
4.6%
청 30
 
4.6%
면 26
 
4.0%
길 20
 
3.0%
Other values (67) 266
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 410
62.4%
Space Separator 118
 
18.0%
Decimal Number 118
 
18.0%
Dash Punctuation 11
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 43
 
10.5%
논 33
 
8.0%
시 31
 
7.6%
충 30
 
7.3%
남 30
 
7.3%
도 30
 
7.3%
청 30
 
7.3%
면 26
 
6.3%
길 20
 
4.9%
로 17
 
4.1%
Other values (55) 120
29.3%
Decimal Number
ValueCountFrequency (%)
3 18
15.3%
1 18
15.3%
2 15
12.7%
4 13
11.0%
6 12
10.2%
5 10
8.5%
8 9
7.6%
0 9
7.6%
7 9
7.6%
9 5
 
4.2%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 410
62.4%
Common 247
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 43
 
10.5%
논 33
 
8.0%
시 31
 
7.6%
충 30
 
7.3%
남 30
 
7.3%
도 30
 
7.3%
청 30
 
7.3%
면 26
 
6.3%
길 20
 
4.9%
로 17
 
4.1%
Other values (55) 120
29.3%
Common
ValueCountFrequency (%)
118
47.8%
3 18
 
7.3%
1 18
 
7.3%
2 15
 
6.1%
4 13
 
5.3%
6 12
 
4.9%
- 11
 
4.5%
5 10
 
4.0%
8 9
 
3.6%
0 9
 
3.6%
Other values (2) 14
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 410
62.4%
ASCII 247
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
47.8%
3 18
 
7.3%
1 18
 
7.3%
2 15
 
6.1%
4 13
 
5.3%
6 12
 
4.9%
- 11
 
4.5%
5 10
 
4.0%
8 9
 
3.6%
0 9
 
3.6%
Other values (2) 14
 
5.7%
Hangul
ValueCountFrequency (%)
산 43
 
10.5%
논 33
 
8.0%
시 31
 
7.6%
충 30
 
7.3%
남 30
 
7.3%
도 30
 
7.3%
청 30
 
7.3%
면 26
 
6.3%
길 20
 
4.9%
로 17
 
4.1%
Other values (55) 120
29.3%

소재지지번주소
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-10T07:44:26.896908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length24.2
Min length21

Characters and Unicode

Total characters726
Distinct characters73
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

Unique30 ?
Unique (%)100.0%

Sample

1st row충청남도 논산시 광석면 왕전리 326번지
2nd row충청남도 논산시 양촌면 신기리 482번지
3rd row충청남도 논산시 광석면 산동리 8-274번지
4th row충청남도 논산시 벌곡면 검천리 249-2번지
5th row충청남도 논산시 양촌면 석서리 309번지
ValueCountFrequency (%)
충청남도 30
20.3%
논산시 30
20.3%
연산면 8
 
5.4%
양촌면 4
 
2.7%
은진면 4
 
2.7%
벌곡면 4
 
2.7%
신기리 2
 
1.4%
신암리 2
 
1.4%
광석면 2
 
1.4%
송정리 2
 
1.4%
Other values (58) 60
40.5%
2024-01-10T07:44:27.203961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
148
20.4%
산 41
 
5.6%
청 31
 
4.3%
충 30
 
4.1%
번 30
 
4.1%
남 30
 
4.1%
도 30
 
4.1%
논 30
 
4.1%
시 30
 
4.1%
지 30
 
4.1%
Other values (63) 296
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 444
61.2%
Space Separator 148
 
20.4%
Decimal Number 111
 
15.3%
Dash Punctuation 23
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 41
 
9.2%
청 31
 
7.0%
충 30
 
6.8%
번 30
 
6.8%
남 30
 
6.8%
도 30
 
6.8%
논 30
 
6.8%
시 30
 
6.8%
지 30
 
6.8%
리 28
 
6.3%
Other values (51) 134
30.2%
Decimal Number
ValueCountFrequency (%)
1 21
18.9%
4 15
13.5%
6 15
13.5%
2 12
10.8%
3 11
9.9%
9 9
8.1%
7 8
 
7.2%
0 8
 
7.2%
8 7
 
6.3%
5 5
 
4.5%
Space Separator
ValueCountFrequency (%)
148
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 444
61.2%
Common 282
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 41
 
9.2%
청 31
 
7.0%
충 30
 
6.8%
번 30
 
6.8%
남 30
 
6.8%
도 30
 
6.8%
논 30
 
6.8%
시 30
 
6.8%
지 30
 
6.8%
리 28
 
6.3%
Other values (51) 134
30.2%
Common
ValueCountFrequency (%)
148
52.5%
- 23
 
8.2%
1 21
 
7.4%
4 15
 
5.3%
6 15
 
5.3%
2 12
 
4.3%
3 11
 
3.9%
9 9
 
3.2%
7 8
 
2.8%
0 8
 
2.8%
Other values (2) 12
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 444
61.2%
ASCII 282
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
148
52.5%
- 23
 
8.2%
1 21
 
7.4%
4 15
 
5.3%
6 15
 
5.3%
2 12
 
4.3%
3 11
 
3.9%
9 9
 
3.2%
7 8
 
2.8%
0 8
 
2.8%
Other values (2) 12
 
4.3%
Hangul
ValueCountFrequency (%)
산 41
 
9.2%
청 31
 
7.0%
충 30
 
6.8%
번 30
 
6.8%
남 30
 
6.8%
도 30
 
6.8%
논 30
 
6.8%
시 30
 
6.8%
지 30
 
6.8%
리 28
 
6.3%
Other values (51) 134
30.2%

전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-10T07:44:27.385408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
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

Unique30 ?
Unique (%)100.0%

Sample

1st row041-734-7933
2nd row041-741-2243
3rd row041-736-4209
4th row041-734-3654
5th row041-741-2865
ValueCountFrequency (%)
041-734-7933 1
 
3.3%
041-741-2243 1
 
3.3%
041-735-3800 1
 
3.3%
041-736-1111 1
 
3.3%
041-742-9191 1
 
3.3%
041-732-9530 1
 
3.3%
041-733-1077 1
 
3.3%
041-735-5115 1
 
3.3%
041-741-3003 1
 
3.3%
041-735-2005 1
 
3.3%
Other values (20) 20
66.7%
2024-01-10T07:44:27.649848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 60
16.7%
- 60
16.7%
1 57
15.8%
0 55
15.3%
7 35
9.7%
3 35
9.7%
5 16
 
4.4%
2 15
 
4.2%
6 11
 
3.1%
9 10
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 300
83.3%
Dash Punctuation 60
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 60
20.0%
1 57
19.0%
0 55
18.3%
7 35
11.7%
3 35
11.7%
5 16
 
5.3%
2 15
 
5.0%
6 11
 
3.7%
9 10
 
3.3%
8 6
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 360
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 60
16.7%
- 60
16.7%
1 57
15.8%
0 55
15.3%
7 35
9.7%
3 35
9.7%
5 16
 
4.4%
2 15
 
4.2%
6 11
 
3.1%
9 10
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 60
16.7%
- 60
16.7%
1 57
15.8%
0 55
15.3%
7 35
9.7%
3 35
9.7%
5 16
 
4.4%
2 15
 
4.2%
6 11
 
3.1%
9 10
 
2.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-01-26
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01-26
2nd row2023-01-26
3rd row2023-01-26
4th row2023-01-26
5th row2023-01-26

Common Values

ValueCountFrequency (%)
2023-01-26 30
100.0%

Length

2024-01-10T07:44:27.763884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:44:27.851532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-26 30
100.0%

Correlations

2024-01-10T07:44:27.927511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명급여종류사업자구분행정동소재지도로명주소소재지지번주소전화번호
기관명1.0001.0001.0001.0001.0001.0001.000
급여종류1.0001.0000.0000.5741.0001.0001.000
사업자구분1.0000.0001.0000.2921.0001.0001.000
행정동1.0000.5740.2921.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2024-01-10T07:44:28.022956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동급여종류사업자구분
행정동1.0000.4070.178
급여종류0.4071.0000.000
사업자구분0.1780.0001.000
2024-01-10T07:44:28.093634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류사업자구분행정동
급여종류1.0000.0000.407
사업자구분0.0001.0000.178
행정동0.4070.1781.000

Missing values

2024-01-10T07:44:25.017442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:44:25.116321image/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

기관명급여종류사업자구분행정동소재지도로명주소소재지지번주소전화번호기준일자
0섭리마을노인요양공동생활가정개인광석면충청남도 논산시 광석면 왕전길 93충청남도 논산시 광석면 왕전리 326번지041-734-79332023-01-26
1사랑의집노인요양공동생활가정개인양촌면충청남도 논산시 양촌면 신기1길 3-20충청남도 논산시 양촌면 신기리 482번지041-741-22432023-01-26
2큰사랑섬김의집노인요양공동생활가정개인광석면충청남도 논산시 광석면 논산평야로 752-36충청남도 논산시 광석면 산동리 8-274번지041-736-42092023-01-26
3호산나요양원노인요양공동생활가정개인벌곡면충청남도 논산시 벌곡면 검천길 169충청남도 논산시 벌곡면 검천리 249-2번지041-734-36542023-01-26
4열린요양원노인요양공동생활가정개인양촌면충청남도 논산시 양촌면 매죽헌로 1370-8충청남도 논산시 양촌면 석서리 309번지041-741-28652023-01-26
5에덴노인요양원노인요양공동생활가정개인노성면충청남도 논산시 노성면 명재로287번길 40-1충청남도 논산시 노성면 장구리 4-10번지041-736-54622023-01-26
6A+행복한요양원노인요양공동생활가정개인성동면충청남도 논산시 성동면 논산평야로436번길 48충청남도 논산시 성동면 원봉리 461번지041-734-45782023-01-26
7우리들집노인요양공동생활가정개인은진면충청남도 논산시 은진면 원앙로1348번길 100충청남도 논산시 은진면 성평리 441-8번지041-734-91112023-01-26
8쌘뽈요양원노인요양시설법인은진면충청남도 논산시 은진면 탑정로 265-30충청남도 논산시 은진면 교촌리 346-3번지041-741-40452023-01-26
9고향의집노인요양시설법인강경읍충청남도 논산시 강경읍 강경로66번길 85충청남도 논산시 강경읍 채산리 437-37번지041-745-49002023-01-26
기관명급여종류사업자구분행정동소재지도로명주소소재지지번주소전화번호기준일자
20샤론의집노인요양시설개인연산면충청남도 논산시 연산면 신암1길 74충청남도 논산시 연산면 신암리 10번지041-736-11402023-01-26
21해피니스요양원노인요양시설개인연산면충청남도 논산시 연산면 천호4길 23-2충청남도 논산시 연산면 천호리 9-1번지041-735-20052023-01-26
22가온요양원노인요양시설개인은진면충청남도 논산시 은진면 와야2길 39-10충청남도 논산시 은진면 와야리 128-13번지041-741-30032023-01-26
23논산실버효센터노인요양시설개인연산면충청남도 논산시 연산면 계백송정3길 12-5충청남도 논산시 연산면 송정리 163-1번지041-735-51152023-01-26
24상월애요양원노인요양시설개인상월면충청남도 논산시 상월면 백일헌로576번길 22충청남도 논산시 상월면 한천리 460-56번지041-733-10772023-01-26
25세빈요양원노인요양시설개인연산면충청남도 논산시 연산면 연산3길 36충청남도 논산시 연산면 연산리 226-7번지041-732-95302023-01-26
26양촌수양관요양원노인요양시설개인양촌면충청남도 논산시 양촌면 신기길 25-76충청남도 논산시 양촌면 신기리 489-4번지041-742-91912023-01-26
27성심요양원노인요양시설개인연산면충청남도 논산시 연산면 선비로245번길 35충청남도 논산시 연산면 청동리 557-2번지041-736-11112023-01-26
28계룡편안한요양원노인요양시설개인연산면충청남도 논산시 연산면 천호4길 40충청남도 논산시 연산면 천호리 10-4번지041-735-38002023-01-26
29행복한실버타운노인요양시설개인부적면충청남도 논산시 부적면 계백로 1493충청남도 논산시 부적면 마구평리 9-9번지041-736-50002023-01-26