Overview

Dataset statistics

Number of variables7
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory57.7 B

Variable types

Text4
Categorical3

Dataset

Description충청남도 논산시 재가장기요양기관 파일데이터로 기관명, 급여종류, 행정동, 소재지도로명주소, 소재지지번주소, 전화번호 정보를 제공하고 있습니다.
Author충청남도 논산시
URLhttps://www.data.go.kr/data/3073217/fileData.do

Alerts

기준일자 has constant value ""Constant
기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:20:20.389476
Analysis finished2024-03-15 01:20:21.809255
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-15T10:20:22.492879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.7142857
Min length4

Characters and Unicode

Total characters671
Distinct characters144
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

Unique77 ?
Unique (%)100.0%

Sample

1st rowA플러스 행복한주간보호센터
2nd row가나안노인복지원
3rd row가족사랑방문요양센터
4th row가족사랑의료기
5th row강경노인복지센터
ValueCountFrequency (%)
a플러스 1
 
1.2%
행복한주간보호센터 1
 
1.2%
주사랑노인복지센터 1
 
1.2%
좋은이웃노인복지센터 1
 
1.2%
조아노인주간보호센터 1
 
1.2%
이요양재가센터 1
 
1.2%
은혜방문요양센터 1
 
1.2%
은진노인복지센터 1
 
1.2%
주야간보호센터 1
 
1.2%
아낌없이주는나무 1
 
1.2%
Other values (70) 70
87.5%
2024-03-15T10:20:23.787704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 67
 
10.0%
센 67
 
10.0%
복 50
 
7.5%
지 48
 
7.2%
인 43
 
6.4%
노 43
 
6.4%
사 15
 
2.2%
주 14
 
2.1%
가 13
 
1.9%
호 12
 
1.8%
Other values (134) 299
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 667
99.4%
Space Separator 3
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 67
 
10.0%
센 67
 
10.0%
복 50
 
7.5%
지 48
 
7.2%
인 43
 
6.4%
노 43
 
6.4%
사 15
 
2.2%
주 14
 
2.1%
가 13
 
1.9%
호 12
 
1.8%
Other values (132) 295
44.2%
Space Separator
ValueCountFrequency (%)
3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 667
99.4%
Common 3
 
0.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 67
 
10.0%
센 67
 
10.0%
복 50
 
7.5%
지 48
 
7.2%
인 43
 
6.4%
노 43
 
6.4%
사 15
 
2.2%
주 14
 
2.1%
가 13
 
1.9%
호 12
 
1.8%
Other values (132) 295
44.2%
Common
ValueCountFrequency (%)
3
100.0%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 667
99.4%
ASCII 4
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 67
 
10.0%
센 67
 
10.0%
복 50
 
7.5%
지 48
 
7.2%
인 43
 
6.4%
노 43
 
6.4%
사 15
 
2.2%
주 14
 
2.1%
가 13
 
1.9%
호 12
 
1.8%
Other values (132) 295
44.2%
ASCII
ValueCountFrequency (%)
3
75.0%
A 1
 
25.0%

급여종류
Categorical

Distinct7
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size744.0 B
방문목욕+방문요양
34 
주야간보호
10 
방문목욕+방문요양+주야간보호
8 
방문요양
8 
복지용구제공사업소
8 
Other values (2)
9 

Length

Max length19
Median length9
Mean length8.9350649
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방문목욕+방문요양+주야간보호
2nd row방문목욕+방문요양
3rd row방문요양
4th row복지용구제공사업소
5th row방문목욕+방문요양

Common Values

ValueCountFrequency (%)
방문목욕+방문요양 34
44.2%
주야간보호 10
 
13.0%
방문목욕+방문요양+주야간보호 8
 
10.4%
방문요양 8
 
10.4%
복지용구제공사업소 8
 
10.4%
방문요양+주야간보호 7
 
9.1%
방문목욕+방문요양+복지용구제공사업소 2
 
2.6%

Length

2024-03-15T10:20:24.065798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:20:24.429139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방문목욕+방문요양 34
44.2%
주야간보호 10
 
13.0%
방문목욕+방문요양+주야간보호 8
 
10.4%
방문요양 8
 
10.4%
복지용구제공사업소 8
 
10.4%
방문요양+주야간보호 7
 
9.1%
방문목욕+방문요양+복지용구제공사업소 2
 
2.6%

행정동
Categorical

Distinct13
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Memory size744.0 B
취암동
32 
연산면
8 
양촌면
7 
부창동
6 
채운면
4 
Other values (8)
20 

Length

Max length4
Median length3
Mean length3.025974
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row성동면
2nd row취암동
3rd row취암동
4th row연산면
5th row강경읍

Common Values

ValueCountFrequency (%)
취암동 32
41.6%
연산면 8
 
10.4%
양촌면 7
 
9.1%
부창동 6
 
7.8%
채운면 4
 
5.2%
연무읍 4
 
5.2%
성동면 3
 
3.9%
은진면 3
 
3.9%
강경읍 2
 
2.6%
광석면 2
 
2.6%
Other values (3) 6
 
7.8%

Length

2024-03-15T10:20:24.860296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
취암동 32
41.6%
연산면 8
 
10.4%
양촌면 7
 
9.1%
부창동 6
 
7.8%
채운면 4
 
5.2%
연무읍 4
 
5.2%
성동면 3
 
3.9%
은진면 3
 
3.9%
강경읍 2
 
2.6%
광석면 2
 
2.6%
Other values (3) 6
 
7.8%

소재지도로명주소
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-15T10:20:26.159557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.467532
Min length15

Characters and Unicode

Total characters1576
Distinct characters82
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

Unique77 ?
Unique (%)100.0%

Sample

1st row충청남도 논산시 성동면 논산평야로436번길 48
2nd row충청남도 논산시 시민로222번길 40
3rd row충청남도 논산시 시민로 381-1
4th row충청남도 논산시 연산면 청동로 39-1
5th row충청남도 논산시 강경읍 계백로153번길 7-1
ValueCountFrequency (%)
충청남도 77
22.2%
논산시 77
22.2%
연산면 8
 
2.3%
양촌면 7
 
2.0%
매죽헌로 6
 
1.7%
시민로 6
 
1.7%
해월로 4
 
1.2%
채운면 4
 
1.2%
연무읍 4
 
1.2%
황산벌로 4
 
1.2%
Other values (130) 150
43.2%
2024-03-15T10:20:28.033324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
271
17.2%
산 94
 
6.0%
시 89
 
5.6%
논 81
 
5.1%
청 79
 
5.0%
충 77
 
4.9%
남 77
 
4.9%
도 77
 
4.9%
로 67
 
4.3%
1 64
 
4.1%
Other values (72) 600
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
60.9%
Decimal Number 310
 
19.7%
Space Separator 271
 
17.2%
Dash Punctuation 32
 
2.0%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 94
 
9.8%
시 89
 
9.3%
논 81
 
8.4%
청 79
 
8.2%
충 77
 
8.0%
남 77
 
8.0%
도 77
 
8.0%
로 67
 
7.0%
길 35
 
3.6%
면 32
 
3.3%
Other values (59) 252
26.2%
Decimal Number
ValueCountFrequency (%)
1 64
20.6%
3 40
12.9%
2 36
11.6%
4 32
10.3%
6 31
10.0%
8 25
 
8.1%
5 24
 
7.7%
0 21
 
6.8%
9 20
 
6.5%
7 17
 
5.5%
Space Separator
ValueCountFrequency (%)
271
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
60.9%
Common 616
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 94
 
9.8%
시 89
 
9.3%
논 81
 
8.4%
청 79
 
8.2%
충 77
 
8.0%
남 77
 
8.0%
도 77
 
8.0%
로 67
 
7.0%
길 35
 
3.6%
면 32
 
3.3%
Other values (59) 252
26.2%
Common
ValueCountFrequency (%)
271
44.0%
1 64
 
10.4%
3 40
 
6.5%
2 36
 
5.8%
- 32
 
5.2%
4 32
 
5.2%
6 31
 
5.0%
8 25
 
4.1%
5 24
 
3.9%
0 21
 
3.4%
Other values (3) 40
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
60.9%
ASCII 616
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
271
44.0%
1 64
 
10.4%
3 40
 
6.5%
2 36
 
5.8%
- 32
 
5.2%
4 32
 
5.2%
6 31
 
5.0%
8 25
 
4.1%
5 24
 
3.9%
0 21
 
3.4%
Other values (3) 40
 
6.5%
Hangul
ValueCountFrequency (%)
산 94
 
9.8%
시 89
 
9.3%
논 81
 
8.4%
청 79
 
8.2%
충 77
 
8.0%
남 77
 
8.0%
도 77
 
8.0%
로 67
 
7.0%
길 35
 
3.6%
면 32
 
3.3%
Other values (59) 252
26.2%

소재지지번주소
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-15T10:20:29.221460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length22.285714
Min length18

Characters and Unicode

Total characters1716
Distinct characters82
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

Unique77 ?
Unique (%)100.0%

Sample

1st row충청남도 논산시 성동면 원봉리 461번지
2nd row충청남도 논산시 내동 661번지
3rd row충청남도 논산시 취암동 555-15번지
4th row충청남도 논산시 연산면 청동리 486-4번지
5th row충청남도 논산시 강경읍 대흥리 3-1번지
ValueCountFrequency (%)
충청남도 77
22.1%
논산시 77
22.1%
취암동 14
 
4.0%
내동 12
 
3.4%
연산면 8
 
2.3%
양촌면 7
 
2.0%
부창동 5
 
1.4%
연무읍 4
 
1.1%
채운면 4
 
1.1%
인천리 4
 
1.1%
Other values (121) 137
39.3%
2024-03-15T10:20:30.781835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
20.0%
산 93
 
5.4%
충 79
 
4.6%
청 79
 
4.6%
남 77
 
4.5%
도 77
 
4.5%
논 77
 
4.5%
시 77
 
4.5%
지 76
 
4.4%
번 72
 
4.2%
Other values (72) 665
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1024
59.7%
Space Separator 344
 
20.0%
Decimal Number 291
 
17.0%
Dash Punctuation 57
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 93
 
9.1%
충 79
 
7.7%
청 79
 
7.7%
남 77
 
7.5%
도 77
 
7.5%
논 77
 
7.5%
시 77
 
7.5%
지 76
 
7.4%
번 72
 
7.0%
동 46
 
4.5%
Other values (60) 271
26.5%
Decimal Number
ValueCountFrequency (%)
1 59
20.3%
2 42
14.4%
3 39
13.4%
6 30
10.3%
9 24
8.2%
4 23
 
7.9%
7 20
 
6.9%
5 20
 
6.9%
8 19
 
6.5%
0 15
 
5.2%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1024
59.7%
Common 692
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 93
 
9.1%
충 79
 
7.7%
청 79
 
7.7%
남 77
 
7.5%
도 77
 
7.5%
논 77
 
7.5%
시 77
 
7.5%
지 76
 
7.4%
번 72
 
7.0%
동 46
 
4.5%
Other values (60) 271
26.5%
Common
ValueCountFrequency (%)
344
49.7%
1 59
 
8.5%
- 57
 
8.2%
2 42
 
6.1%
3 39
 
5.6%
6 30
 
4.3%
9 24
 
3.5%
4 23
 
3.3%
7 20
 
2.9%
5 20
 
2.9%
Other values (2) 34
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1024
59.7%
ASCII 692
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
49.7%
1 59
 
8.5%
- 57
 
8.2%
2 42
 
6.1%
3 39
 
5.6%
6 30
 
4.3%
9 24
 
3.5%
4 23
 
3.3%
7 20
 
2.9%
5 20
 
2.9%
Other values (2) 34
 
4.9%
Hangul
ValueCountFrequency (%)
산 93
 
9.1%
충 79
 
7.7%
청 79
 
7.7%
남 77
 
7.5%
도 77
 
7.5%
논 77
 
7.5%
시 77
 
7.5%
지 76
 
7.4%
번 72
 
7.0%
동 46
 
4.5%
Other values (60) 271
26.5%

전화번호
Text

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-03-15T10:20:32.049621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038961
Min length12

Characters and Unicode

Total characters927
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

Unique77 ?
Unique (%)100.0%

Sample

1st row041-734-4578
2nd row041-736-9236
3rd row041-736-3424
4th row041-736-9327
5th row070-4223-0672
ValueCountFrequency (%)
041-734-4578 1
 
1.3%
041-742-1123 1
 
1.3%
041-736-2957 1
 
1.3%
041-732-5085 1
 
1.3%
041-733-0065 1
 
1.3%
041-736-8502 1
 
1.3%
041-736-6502 1
 
1.3%
041-733-1067 1
 
1.3%
041-741-0999 1
 
1.3%
070-4286-0102 1
 
1.3%
Other values (67) 67
87.0%
2024-03-15T10:20:33.887981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 154
16.6%
4 134
14.5%
0 123
13.3%
1 114
12.3%
7 100
10.8%
3 98
10.6%
2 58
 
6.3%
5 41
 
4.4%
6 40
 
4.3%
8 34
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 773
83.4%
Dash Punctuation 154
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 134
17.3%
0 123
15.9%
1 114
14.7%
7 100
12.9%
3 98
12.7%
2 58
7.5%
5 41
 
5.3%
6 40
 
5.2%
8 34
 
4.4%
9 31
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 927
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 154
16.6%
4 134
14.5%
0 123
13.3%
1 114
12.3%
7 100
10.8%
3 98
10.6%
2 58
 
6.3%
5 41
 
4.4%
6 40
 
4.3%
8 34
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 927
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 154
16.6%
4 134
14.5%
0 123
13.3%
1 114
12.3%
7 100
10.8%
3 98
10.6%
2 58
 
6.3%
5 41
 
4.4%
6 40
 
4.3%
8 34
 
3.7%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size744.0 B
2024-01-18
77 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-18
2nd row2024-01-18
3rd row2024-01-18
4th row2024-01-18
5th row2024-01-18

Common Values

ValueCountFrequency (%)
2024-01-18 77
100.0%

Length

2024-03-15T10:20:34.322483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:20:34.649143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-18 77
100.0%

Correlations

2024-03-15T10:20:34.893155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명급여종류행정동소재지도로명주소소재지지번주소전화번호
기관명1.0001.0001.0001.0001.0001.000
급여종류1.0001.0000.0001.0001.0001.000
행정동1.0000.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
2024-03-15T10:20:35.179237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류행정동
급여종류1.0000.000
행정동0.0001.000
2024-03-15T10:20:35.409197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급여종류행정동
급여종류1.0000.000
행정동0.0001.000

Missing values

2024-03-15T10:20:21.207312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:20:21.711801image/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

기관명급여종류행정동소재지도로명주소소재지지번주소전화번호기준일자
0A플러스 행복한주간보호센터방문목욕+방문요양+주야간보호성동면충청남도 논산시 성동면 논산평야로436번길 48충청남도 논산시 성동면 원봉리 461번지041-734-45782024-01-18
1가나안노인복지원방문목욕+방문요양취암동충청남도 논산시 시민로222번길 40충청남도 논산시 내동 661번지041-736-92362024-01-18
2가족사랑방문요양센터방문요양취암동충청남도 논산시 시민로 381-1충청남도 논산시 취암동 555-15번지041-736-34242024-01-18
3가족사랑의료기복지용구제공사업소연산면충청남도 논산시 연산면 청동로 39-1충청남도 논산시 연산면 청동리 486-4번지041-736-93272024-01-18
4강경노인복지센터방문목욕+방문요양강경읍충청남도 논산시 강경읍 계백로153번길 7-1충청남도 논산시 강경읍 대흥리 3-1번지070-4223-06722024-01-18
5강경열린방문요양센터방문목욕+방문요양강경읍충청남도 논산시 강경읍 금백로 127충청남도 논산시 강경읍 서창리 13-1041-745-22332024-01-18
6건양노인복지센터방문목욕+방문요양+주야간보호취암동충청남도 논산시 중앙로384번길 31-10충청남도 논산시 취암동 1065-8번지041-733-99442024-01-18
7광석재가노인복지센터방문목욕+방문요양취암동충청남도 논산시 해월로168번길 14충청남도 논산시 반월동 116-1번지041-733-89102024-01-18
8기쁨노인복지센터방문목욕+방문요양부창동충청남도 논산시 계백로 949-6충청남도 논산시 부창동 219-3번지041-734-79472024-01-18
9기쁨복지용구사업소복지용구제공사업소연산면충청남도 논산시 연산면 황산벌로 1486충청남도 논산시 연산면 연산리 156번지 렉스톤041-732-70442024-01-18
기관명급여종류행정동소재지도로명주소소재지지번주소전화번호기준일자
67한가족재가복지센터방문요양취암동충청남도 논산시 시민로 309충청남도 논산시 취암동 992번지041-733-48982024-01-18
68한마음노인복지센터방문목욕+방문요양+주야간보호취암동충청남도 논산시 계백로1062번길 13-5충청남도 논산시 취암동 1033-6번지041-732-29102024-01-18
69함께하는실버복지센터방문목욕+방문요양+주야간보호부창동충청남도 논산시 해월로 95충청남도 논산시 부창동 173-17번지041-733-77982024-01-18
70행복나눔복지센터방문목욕+방문요양취암동충청남도 논산시 시민로184번길 5충청남도 논산시 내동 905번지041-735-63882024-01-18
71혜승의료기복지용구제공사업소취암동충청남도 논산시 중앙로384번길 35-6충청남도 논산시 취암동 1066-6번지041-735-32982024-01-18
72효노인복지센터방문목욕+방문요양상월면충청남도 논산시 상월면 백일헌로 1057충청남도 논산시 상월면 신충리 57-2번지041-733-14032024-01-18
73효도마을노인복지센터방문요양연무읍충청남도 논산시 연무읍 안심로 163-1충청남도 논산시 연무읍 안심리 1126-36번지041-742-86662024-01-18
74효사랑노인복지센터방문목욕+방문요양채운면충청남도 논산시 채운면 계백로588번길 61충청남도 논산시 채운면 화산리 333-1번지041-734-36702024-01-18
75효심노인복지센터방문목욕+방문요양+복지용구제공사업소취암동충청남도 논산시 중앙로359번길 17충청남도 논산시 취암동 432-6번지070-8869-01262024-01-18
76효자부모님케어센터방문목욕+방문요양+주야간보호취암동충청남도 논산시 시민로 274충청남도 논산시 내동 284-6번지041-733-11062024-01-18