Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory68.2 B

Variable types

Numeric1
Categorical2
Text5

Dataset

Description전라남도 함평군 관내 노인장기요양시설 현황에 대한 자료입니다. 이자료는 함평군 관내 시설유형, 시설종류, 시설명 등에 관한 자료를 포함합니다.
URLhttps://www.data.go.kr/data/15061697/fileData.do

Alerts

연번 is highly overall correlated with 시설유형High correlation
시설유형 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
시설종류 is highly overall correlated with 시설유형High correlation
연번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:14:28.377558
Analysis finished2023-12-12 01:14:29.257306
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T10:14:29.344362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-12T10:14:29.518018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

시설유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
재가노인
15 
노인의료
13 
재가장기요양기관
12 
노인주거
 
1

Length

Max length8
Median length4
Mean length5.1707317
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row노인주거
2nd row노인의료
3rd row노인의료
4th row노인의료
5th row노인의료

Common Values

ValueCountFrequency (%)
재가노인 15
36.6%
노인의료 13
31.7%
재가장기요양기관 12
29.3%
노인주거 1
 
2.4%

Length

2023-12-12T10:14:30.069911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:14:30.234748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인 15
36.6%
노인의료 13
31.7%
재가장기요양기관 12
29.3%
노인주거 1
 
2.4%

시설종류
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
재가노인복지
27 
노인요양시설
11 
노인요양공동생활가정
 
2
양로시설
 
1

Length

Max length10
Median length6
Mean length6.1463415
Min length4

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row양로시설
2nd row노인요양시설
3rd row노인요양시설
4th row노인요양시설
5th row노인요양시설

Common Values

ValueCountFrequency (%)
재가노인복지 27
65.9%
노인요양시설 11
26.8%
노인요양공동생활가정 2
 
4.9%
양로시설 1
 
2.4%

Length

2023-12-12T10:14:30.407055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T10:14:30.545502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
재가노인복지 27
65.9%
노인요양시설 11
26.8%
노인요양공동생활가정 2
 
4.9%
양로시설 1
 
2.4%

시설명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T10:14:30.770401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.5365854
Min length3

Characters and Unicode

Total characters350
Distinct characters94
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row함평성애양로원
2nd row함평성애노인요양센터
3rd row함평성심병원노인요양시설
4th row흰돌사랑의집
5th row청수원
ValueCountFrequency (%)
함평성애양로원 1
 
2.2%
희망재가노인복지센터 1
 
2.2%
섬김노인복지센터 1
 
2.2%
함평천지노인복지센터 1
 
2.2%
함평노인복지센터 1
 
2.2%
보두마노인복지센터 1
 
2.2%
나눔손불방문요양센터 1
 
2.2%
성화재가노인복지센터 1
 
2.2%
행복재가복지센터 1
 
2.2%
한사랑재가노인요양센터 1
 
2.2%
Other values (35) 35
77.8%
2023-12-12T10:14:31.174314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 25
 
7.1%
센 25
 
7.1%
지 21
 
6.0%
복 21
 
6.0%
인 17
 
4.9%
노 17
 
4.9%
가 12
 
3.4%
함 12
 
3.4%
평 12
 
3.4%
재 12
 
3.4%
Other values (84) 176
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 345
98.6%
Space Separator 5
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 25
 
7.2%
센 25
 
7.2%
지 21
 
6.1%
복 21
 
6.1%
인 17
 
4.9%
노 17
 
4.9%
가 12
 
3.5%
함 12
 
3.5%
평 12
 
3.5%
재 12
 
3.5%
Other values (83) 171
49.6%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 345
98.6%
Common 5
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 25
 
7.2%
센 25
 
7.2%
지 21
 
6.1%
복 21
 
6.1%
인 17
 
4.9%
노 17
 
4.9%
가 12
 
3.5%
함 12
 
3.5%
평 12
 
3.5%
재 12
 
3.5%
Other values (83) 171
49.6%
Common
ValueCountFrequency (%)
5
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 345
98.6%
ASCII 5
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 25
 
7.2%
센 25
 
7.2%
지 21
 
6.1%
복 21
 
6.1%
인 17
 
4.9%
노 17
 
4.9%
가 12
 
3.5%
함 12
 
3.5%
평 12
 
3.5%
재 12
 
3.5%
Other values (83) 171
49.6%
ASCII
ValueCountFrequency (%)
5
100.0%

대표자(시설장)
Text

Distinct36
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T10:14:31.414722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length4.3170732
Min length2

Characters and Unicode

Total characters177
Distinct characters75
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)75.6%

Sample

1st row모종한(모승준)
2nd row모종한(김조자)
3rd row송영종(이은옥)
4th row오정자
5th row전호진(박해숙)
ValueCountFrequency (%)
이창인 2
 
4.9%
유화영(정규석 2
 
4.9%
문해영 2
 
4.9%
최은영 2
 
4.9%
송정섭(송재명 2
 
4.9%
배예원 1
 
2.4%
심말숙 1
 
2.4%
정양순 1
 
2.4%
신수자 1
 
2.4%
이미영 1
 
2.4%
Other values (26) 26
63.4%
2023-12-12T10:14:31.811500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 11
 
6.2%
( 11
 
6.2%
영 9
 
5.1%
정 8
 
4.5%
송 6
 
3.4%
최 5
 
2.8%
모 4
 
2.3%
종 4
 
2.3%
김 4
 
2.3%
이 4
 
2.3%
Other values (65) 111
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
87.6%
Close Punctuation 11
 
6.2%
Open Punctuation 11
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 9
 
5.8%
정 8
 
5.2%
송 6
 
3.9%
최 5
 
3.2%
모 4
 
2.6%
종 4
 
2.6%
김 4
 
2.6%
이 4
 
2.6%
명 4
 
2.6%
은 4
 
2.6%
Other values (63) 103
66.5%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
87.6%
Common 22
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 9
 
5.8%
정 8
 
5.2%
송 6
 
3.9%
최 5
 
3.2%
모 4
 
2.6%
종 4
 
2.6%
김 4
 
2.6%
이 4
 
2.6%
명 4
 
2.6%
은 4
 
2.6%
Other values (63) 103
66.5%
Common
ValueCountFrequency (%)
) 11
50.0%
( 11
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
87.6%
ASCII 22
 
12.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 11
50.0%
( 11
50.0%
Hangul
ValueCountFrequency (%)
영 9
 
5.8%
정 8
 
5.2%
송 6
 
3.9%
최 5
 
3.2%
모 4
 
2.6%
종 4
 
2.6%
김 4
 
2.6%
이 4
 
2.6%
명 4
 
2.6%
은 4
 
2.6%
Other values (63) 103
66.5%

주소
Text

Distinct35
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T10:14:32.070751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.95122
Min length16

Characters and Unicode

Total characters777
Distinct characters60
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

Unique29 ?
Unique (%)70.7%

Sample

1st row전남 함평군 함평읍 남일길 79
2nd row전남 함평군 함평읍 남일길 79
3rd row전남 함평군 함평읍 영수길 132
4th row전남 함평군 함평읍 서부길 94-49
5th row전남 함평군 학교면 청수원길 20-47
ValueCountFrequency (%)
전남 41
20.0%
함평군 41
20.0%
함평읍 20
 
9.8%
학교면 6
 
2.9%
중앙길 5
 
2.4%
해보면 4
 
2.0%
밀재로 4
 
2.0%
남일길 4
 
2.0%
손불면 3
 
1.5%
내대화길 3
 
1.5%
Other values (57) 74
36.1%
2023-12-12T10:14:32.599330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
21.1%
함 66
 
8.5%
평 61
 
7.9%
남 45
 
5.8%
전 41
 
5.3%
군 41
 
5.3%
길 31
 
4.0%
1 29
 
3.7%
읍 20
 
2.6%
면 19
 
2.4%
Other values (50) 260
33.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
59.6%
Space Separator 164
 
21.1%
Decimal Number 136
 
17.5%
Dash Punctuation 14
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
함 66
14.3%
평 61
13.2%
남 45
 
9.7%
전 41
 
8.9%
군 41
 
8.9%
길 31
 
6.7%
읍 20
 
4.3%
면 19
 
4.1%
로 10
 
2.2%
앙 8
 
1.7%
Other values (38) 121
26.1%
Decimal Number
ValueCountFrequency (%)
1 29
21.3%
0 18
13.2%
8 15
11.0%
3 15
11.0%
2 13
9.6%
6 11
 
8.1%
9 11
 
8.1%
4 11
 
8.1%
5 9
 
6.6%
7 4
 
2.9%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 463
59.6%
Common 314
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
함 66
14.3%
평 61
13.2%
남 45
 
9.7%
전 41
 
8.9%
군 41
 
8.9%
길 31
 
6.7%
읍 20
 
4.3%
면 19
 
4.1%
로 10
 
2.2%
앙 8
 
1.7%
Other values (38) 121
26.1%
Common
ValueCountFrequency (%)
164
52.2%
1 29
 
9.2%
0 18
 
5.7%
8 15
 
4.8%
3 15
 
4.8%
- 14
 
4.5%
2 13
 
4.1%
6 11
 
3.5%
9 11
 
3.5%
4 11
 
3.5%
Other values (2) 13
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 463
59.6%
ASCII 314
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
52.2%
1 29
 
9.2%
0 18
 
5.7%
8 15
 
4.8%
3 15
 
4.8%
- 14
 
4.5%
2 13
 
4.1%
6 11
 
3.5%
9 11
 
3.5%
4 11
 
3.5%
Other values (2) 13
 
4.1%
Hangul
ValueCountFrequency (%)
함 66
14.3%
평 61
13.2%
남 45
 
9.7%
전 41
 
8.9%
군 41
 
8.9%
길 31
 
6.7%
읍 20
 
4.3%
면 19
 
4.1%
로 10
 
2.2%
앙 8
 
1.7%
Other values (38) 121
26.1%

연락처
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T10:14:32.924127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique37 ?
Unique (%)90.2%

Sample

1st row061-322-2565
2nd row061-322-2561
3rd row061-324-0779
4th row061-324-0262
5th row061-322-8004
ValueCountFrequency (%)
061-324-6225 2
 
4.9%
061-322-5111 2
 
4.9%
061-323-5522 1
 
2.4%
061-323-9093 1
 
2.4%
061-324-1113 1
 
2.4%
061-323-3577 1
 
2.4%
061-322-2565 1
 
2.4%
061-324-3064 1
 
2.4%
061-322-7400 1
 
2.4%
061-322-2311 1
 
2.4%
Other values (29) 29
70.7%
2023-12-12T10:14:33.305702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.7%
2 76
15.4%
0 64
13.0%
1 64
13.0%
3 60
12.2%
6 52
10.6%
4 32
 
6.5%
5 21
 
4.3%
7 16
 
3.3%
9 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 76
18.5%
0 64
15.6%
1 64
15.6%
3 60
14.6%
6 52
12.7%
4 32
7.8%
5 21
 
5.1%
7 16
 
3.9%
9 14
 
3.4%
8 11
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.7%
2 76
15.4%
0 64
13.0%
1 64
13.0%
3 60
12.2%
6 52
10.6%
4 32
 
6.5%
5 21
 
4.3%
7 16
 
3.3%
9 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.7%
2 76
15.4%
0 64
13.0%
1 64
13.0%
3 60
12.2%
6 52
10.6%
4 32
 
6.5%
5 21
 
4.3%
7 16
 
3.3%
9 14
 
2.8%

팩스
Text

Distinct37
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T10:14:33.625430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.073171
Min length12

Characters and Unicode

Total characters495
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

Unique33 ?
Unique (%)80.5%

Sample

1st row061-322-2559
2nd row061-322-2569
3rd row0507-951-5525
4th row061-324-8215
5th row061-322-8228
ValueCountFrequency (%)
061-324-0163 2
 
4.9%
061-324-7789 2
 
4.9%
061-324-6224 2
 
4.9%
061-322-4177 2
 
4.9%
070-4045-3064 1
 
2.4%
061-323-3578 1
 
2.4%
061-323-5222 1
 
2.4%
061-324-9093 1
 
2.4%
061-324-2461 1
 
2.4%
061-322-9292 1
 
2.4%
Other values (27) 27
65.9%
2023-12-12T10:14:34.080739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.6%
2 75
15.2%
0 64
12.9%
3 62
12.5%
1 50
10.1%
6 49
9.9%
4 30
 
6.1%
7 25
 
5.1%
9 23
 
4.6%
5 22
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 413
83.4%
Dash Punctuation 82
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 75
18.2%
0 64
15.5%
3 62
15.0%
1 50
12.1%
6 49
11.9%
4 30
 
7.3%
7 25
 
6.1%
9 23
 
5.6%
5 22
 
5.3%
8 13
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.6%
2 75
15.2%
0 64
12.9%
3 62
12.5%
1 50
10.1%
6 49
9.9%
4 30
 
6.1%
7 25
 
5.1%
9 23
 
4.6%
5 22
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.6%
2 75
15.2%
0 64
12.9%
3 62
12.5%
1 50
10.1%
6 49
9.9%
4 30
 
6.1%
7 25
 
5.1%
9 23
 
4.6%
5 22
 
4.4%

Interactions

2023-12-12T10:14:28.857435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:14:34.216136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설종류시설명대표자(시설장)주소연락처팩스
연번1.0000.8740.8181.0000.9390.9580.9720.911
시설유형0.8741.0000.9781.0000.6750.0000.8210.679
시설종류0.8180.9781.0001.0000.0000.0000.0000.535
시설명1.0001.0001.0001.0001.0001.0001.0001.000
대표자(시설장)0.9390.6750.0001.0001.0001.0001.0001.000
주소0.9580.0000.0001.0001.0001.0001.0001.000
연락처0.9720.8210.0001.0001.0001.0001.0001.000
팩스0.9110.6790.5351.0001.0001.0001.0001.000
2023-12-12T10:14:34.341896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설종류시설유형
시설종류1.0000.800
시설유형0.8001.000
2023-12-12T10:14:34.452676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설유형시설종류
연번1.0000.6990.467
시설유형0.6991.0000.800
시설종류0.4670.8001.000

Missing values

2023-12-12T10:14:29.032538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:14:29.205202image/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

연번시설유형시설종류시설명대표자(시설장)주소연락처팩스
01노인주거양로시설함평성애양로원모종한(모승준)전남 함평군 함평읍 남일길 79061-322-2565061-322-2559
12노인의료노인요양시설함평성애노인요양센터모종한(김조자)전남 함평군 함평읍 남일길 79061-322-2561061-322-2569
23노인의료노인요양시설함평성심병원노인요양시설송영종(이은옥)전남 함평군 함평읍 영수길 132061-324-07790507-951-5525
34노인의료노인요양시설흰돌사랑의집오정자전남 함평군 함평읍 서부길 94-49061-324-0262061-324-8215
45노인의료노인요양시설청수원전호진(박해숙)전남 함평군 학교면 청수원길 20-47061-322-8004061-322-8228
56노인의료노인요양시설함평군립요양원배현욱전남 함평군 학교면 학교화산길 16061-323-7272061-323-7273
67노인의료노인요양시설함평나비요양원노용태전남 함평군 학교면 송산길 56-48061-324-9191061-324-9192
78노인의료노인요양시설정겨운 뜰안박초하전남 함평군 나산면 함장로 1984-12061-324-5858061-324-5857
89노인의료노인요양시설백향목의집전선희전남 함평군 해보면 해보월현길 114-20061-323-4505061-324-8004
910노인의료노인요양시설소망뜰 노인전문요양원문해영전남 함평군 해보면 밀재로 1183-32061-324-7780061-324-7789
연번시설유형시설종류시설명대표자(시설장)주소연락처팩스
3132재가장기요양기관재가노인복지한아름재가복지센터모주전남 함평군 함평읍 내대화길 127061-322-0006061-324-9600
3233재가장기요양기관재가노인복지희망노인복지센터이창인전남 함평군 함평읍 서부길 80061-324-9551061-324-0163
3334재가장기요양기관재가노인복지함평재가장기요양기관배예원전남 함평군 학교면 함영로 503 3층061-323-7723061-322-7723
3435재가장기요양기관재가노인복지이루라재가노인복지센터서충열(서수빈)전남 함평군 함평읍 대동길 12061-322-9400061-322-9292
3536재가장기요양기관재가노인복지드림재가노인복지센터이미영전남 함평군 함평읍 중앙길 188061-324-2461061-324-2461
3637재가장기요양기관재가노인복지큰사랑재가복지센터신수자전남 함평군 학교면 함영로 501-8061-323-9093061-324-9093
3738재가장기요양기관재가노인복지신광사랑노인복지센터정양순전남 함평군 신광면 신광중앙길 96-6061-323-5522061-323-5222
3839재가장기요양기관재가노인복지안심노인복지센터심말숙전남 함평군 해보면 밀재로 1291061-323-3577061-323-3578
3940재가장기요양기관재가노인복지그린의료기복지용구박훈철전남 함평군 함평읍 영수길 200061-324-1113061-324-7080
4041재가장기요양기관재가노인복지한진상사 의료기기신현순전남 함평군 함평읍 내바람길 60061-322-6051061-324-0570