Overview

Dataset statistics

Number of variables10
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 KiB
Average record size in memory82.8 B

Variable types

Numeric1
Categorical6
Text3

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
순번 has unique valuesUnique
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:54:28.152779
Analysis finished2024-03-14 02:54:28.752478
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T11:54:28.822193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q142
median83
Q3124
95-th percentile156.8
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.775517
Coefficient of variation (CV)0.57560864
Kurtosis-1.2
Mean83
Median Absolute Deviation (MAD)41
Skewness0
Sum13695
Variance2282.5
MonotonicityStrictly increasing
2024-03-14T11:54:28.927636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (155) 155
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전주시
35 
익산시
28 
군산시
18 
완주군
17 
정읍시
15 
Other values (9)
52 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 35
21.2%
익산시 28
17.0%
군산시 18
10.9%
완주군 17
10.3%
정읍시 15
9.1%
남원시 9
 
5.5%
김제시 9
 
5.5%
장수군 7
 
4.2%
진안군 5
 
3.0%
무주군 5
 
3.0%
Other values (4) 17
10.3%

Length

2024-03-14T11:54:29.029304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 35
21.2%
익산시 28
17.0%
군산시 18
10.9%
완주군 17
10.3%
정읍시 15
9.1%
남원시 9
 
5.5%
김제시 9
 
5.5%
장수군 7
 
4.2%
진안군 5
 
3.0%
무주군 5
 
3.0%
Other values (4) 17
10.3%

시설구분
Categorical

Distinct15
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
장애인거주시설
49 
장애인주간보호시설
25 
장애인보호작업장
17 
장애인 공동생활가정
17 
장애인심부름센터
15 
Other values (10)
42 

Length

Max length11
Median length10
Mean length8.0545455
Min length5

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row장애인주간보호시설
2nd row점자도서관
3rd row장애인심부름센터
4th row장애인심부름센터
5th row장애인주간보호시설

Common Values

ValueCountFrequency (%)
장애인거주시설 49
29.7%
장애인주간보호시설 25
15.2%
장애인보호작업장 17
 
10.3%
장애인 공동생활가정 17
 
10.3%
장애인심부름센터 15
 
9.1%
장애인수화통역센터 15
 
9.1%
장애인복지관 12
 
7.3%
장애인공동생활가정 4
 
2.4%
점자도서관 2
 
1.2%
장애인근로사업장 2
 
1.2%
Other values (5) 7
 
4.2%

Length

2024-03-14T11:54:29.143665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애인거주시설 49
26.6%
장애인주간보호시설 25
13.6%
장애인 19
 
10.3%
장애인보호작업장 17
 
9.2%
공동생활가정 17
 
9.2%
장애인심부름센터 15
 
8.2%
장애인수화통역센터 15
 
8.2%
장애인복지관 12
 
6.5%
장애인공동생활가정 4
 
2.2%
점자도서관 2
 
1.1%
Other values (6) 9
 
4.9%

시설명
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T11:54:29.345622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.8848485
Min length2

Characters and Unicode

Total characters1301
Distinct characters181
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

Unique165 ?
Unique (%)100.0%

Sample

1st row정다운주간보호센터
2nd row전북장애인점자도서관
3rd row전북심부름센터
4th row전주심부름센터
5th row전북장애인부모회부설주간보호센터
ValueCountFrequency (%)
장애인복지관 11
 
5.3%
부설 8
 
3.9%
주간보호센터 6
 
2.9%
집 4
 
1.9%
주간보호시설 3
 
1.5%
남원장애인복지관 2
 
1.0%
장수군 2
 
1.0%
자림공동생활가정 2
 
1.0%
정다운주간보호센터 1
 
0.5%
홍주원 1
 
0.5%
Other values (166) 166
80.6%
2024-03-14T11:54:29.913368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 55
 
4.2%
센 51
 
3.9%
터 51
 
3.9%
애 44
 
3.4%
주 43
 
3.3%
41
 
3.2%
호 40
 
3.1%
인 40
 
3.1%
보 35
 
2.7%
집 31
 
2.4%
Other values (171) 870
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1253
96.3%
Space Separator 41
 
3.2%
Decimal Number 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 55
 
4.4%
센 51
 
4.1%
터 51
 
4.1%
애 44
 
3.5%
주 43
 
3.4%
호 40
 
3.2%
인 40
 
3.2%
보 35
 
2.8%
집 31
 
2.5%
부 30
 
2.4%
Other values (167) 833
66.5%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 3
42.9%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1253
96.3%
Common 48
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 55
 
4.4%
센 51
 
4.1%
터 51
 
4.1%
애 44
 
3.5%
주 43
 
3.4%
호 40
 
3.2%
인 40
 
3.2%
보 35
 
2.8%
집 31
 
2.5%
부 30
 
2.4%
Other values (167) 833
66.5%
Common
ValueCountFrequency (%)
41
85.4%
1 3
 
6.2%
2 3
 
6.2%
3 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1253
96.3%
ASCII 48
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 55
 
4.4%
센 51
 
4.1%
터 51
 
4.1%
애 44
 
3.5%
주 43
 
3.4%
호 40
 
3.2%
인 40
 
3.2%
보 35
 
2.8%
집 31
 
2.5%
부 30
 
2.4%
Other values (167) 833
66.5%
ASCII
ValueCountFrequency (%)
41
85.4%
1 3
 
6.2%
2 3
 
6.2%
3 1
 
2.1%

도로명주소
Text

Distinct125
Distinct (%)75.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T11:54:30.164455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length19.066667
Min length13

Characters and Unicode

Total characters3146
Distinct characters188
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)57.0%

Sample

1st row전주시 덕진구 기린대로 549 (덕진동2가, 샬롬빌)
2nd row전주시 덕진구 학산길 26-3 (팔복동2가)
3rd row전주시 덕진구 학산길 26-3 (팔복동2가)
4th row전주시 완산구 매곡로 27-8 (동완산동)
5th row전주시 완산구 계룡산길 44-8 (삼천동2가)
ValueCountFrequency (%)
전주시 35
 
4.9%
익산시 28
 
3.9%
완산구 23
 
3.2%
군산시 18
 
2.5%
완주군 17
 
2.4%
정읍시 15
 
2.1%
덕진구 12
 
1.7%
김제시 9
 
1.3%
남원시 9
 
1.3%
장수군 7
 
1.0%
Other values (325) 537
75.6%
2024-03-14T11:54:30.528444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
545
 
17.3%
1 140
 
4.5%
시 114
 
3.6%
동 109
 
3.5%
산 97
 
3.1%
길 91
 
2.9%
( 86
 
2.7%
) 86
 
2.7%
2 86
 
2.7%
로 85
 
2.7%
Other values (178) 1707
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1784
56.7%
Decimal Number 568
 
18.1%
Space Separator 545
 
17.3%
Open Punctuation 86
 
2.7%
Close Punctuation 86
 
2.7%
Dash Punctuation 64
 
2.0%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 114
 
6.4%
동 109
 
6.1%
산 97
 
5.4%
길 91
 
5.1%
로 85
 
4.8%
군 72
 
4.0%
주 66
 
3.7%
읍 50
 
2.8%
면 45
 
2.5%
완 41
 
2.3%
Other values (163) 1014
56.8%
Decimal Number
ValueCountFrequency (%)
1 140
24.6%
2 86
15.1%
5 59
10.4%
3 58
10.2%
4 51
 
9.0%
7 48
 
8.5%
6 38
 
6.7%
8 35
 
6.2%
9 34
 
6.0%
0 19
 
3.3%
Space Separator
ValueCountFrequency (%)
545
100.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1784
56.7%
Common 1362
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 114
 
6.4%
동 109
 
6.1%
산 97
 
5.4%
길 91
 
5.1%
로 85
 
4.8%
군 72
 
4.0%
주 66
 
3.7%
읍 50
 
2.8%
면 45
 
2.5%
완 41
 
2.3%
Other values (163) 1014
56.8%
Common
ValueCountFrequency (%)
545
40.0%
1 140
 
10.3%
( 86
 
6.3%
) 86
 
6.3%
2 86
 
6.3%
- 64
 
4.7%
5 59
 
4.3%
3 58
 
4.3%
4 51
 
3.7%
7 48
 
3.5%
Other values (5) 139
 
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1784
56.7%
ASCII 1362
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
545
40.0%
1 140
 
10.3%
( 86
 
6.3%
) 86
 
6.3%
2 86
 
6.3%
- 64
 
4.7%
5 59
 
4.3%
3 58
 
4.3%
4 51
 
3.7%
7 48
 
3.5%
Other values (5) 139
 
10.2%
Hangul
ValueCountFrequency (%)
시 114
 
6.4%
동 109
 
6.1%
산 97
 
5.4%
길 91
 
5.1%
로 85
 
4.8%
군 72
 
4.0%
주 66
 
3.7%
읍 50
 
2.8%
면 45
 
2.5%
완 41
 
2.3%
Other values (163) 1014
56.8%

전화번호
Text

Distinct145
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T11:54:30.730194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.969697
Min length1

Characters and Unicode

Total characters1975
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)76.4%

Sample

1st row063-274-0095
2nd row063-288-0046
3rd row063-282-3880
4th row063-283-7651
5th row063-224-6678
ValueCountFrequency (%)
063-452-0911 3
 
1.8%
063-581-9260 2
 
1.2%
063-855-6520 2
 
1.2%
063-445-6361 2
 
1.2%
063-261-7801 2
 
1.2%
063-636-6204 2
 
1.2%
063-635-1544 2
 
1.2%
063-223-4935 2
 
1.2%
063-536-1451 2
 
1.2%
063-852-1174 2
 
1.2%
Other values (135) 144
87.3%
2024-03-14T11:54:31.138852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 329
16.7%
3 308
15.6%
6 290
14.7%
0 256
13.0%
2 163
8.3%
5 149
7.5%
4 125
 
6.3%
8 102
 
5.2%
1 99
 
5.0%
7 78
 
3.9%
Other values (2) 76
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1644
83.2%
Dash Punctuation 329
 
16.7%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 308
18.7%
6 290
17.6%
0 256
15.6%
2 163
9.9%
5 149
9.1%
4 125
7.6%
8 102
 
6.2%
1 99
 
6.0%
7 78
 
4.7%
9 74
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 329
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1975
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 329
16.7%
3 308
15.6%
6 290
14.7%
0 256
13.0%
2 163
8.3%
5 149
7.5%
4 125
 
6.3%
8 102
 
5.2%
1 99
 
5.0%
7 78
 
3.9%
Other values (2) 76
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1975
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 329
16.7%
3 308
15.6%
6 290
14.7%
0 256
13.0%
2 163
8.3%
5 149
7.5%
4 125
 
6.3%
8 102
 
5.2%
1 99
 
5.0%
7 78
 
3.9%
Other values (2) 76
 
3.8%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노인장애인복지과
165 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노인장애인복지과 165
100.0%

Length

2024-03-14T11:54:31.272094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:31.360570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 165
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공개
165 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 165
100.0%

Length

2024-03-14T11:54:31.441509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:31.538678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 165
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2015.1
165 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 165
100.0%

Length

2024-03-14T11:54:31.623676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:31.704788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 165
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1년
165 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 165
100.0%

Length

2024-03-14T11:54:31.786753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:54:31.876262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 165
100.0%

Interactions

2024-03-14T11:54:28.439153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:54:31.922445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분
순번1.0000.8570.709
시군명0.8571.0000.000
시설구분0.7090.0001.000
2024-03-14T11:54:31.997247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설구분
시군명1.0000.000
시설구분0.0001.000
2024-03-14T11:54:32.071394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분
순번1.0000.5670.350
시군명0.5671.0000.000
시설구분0.3500.0001.000

Missing values

2024-03-14T11:54:28.531549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:54:28.686994image/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

순번시군명시설구분시설명도로명주소전화번호자료출처공개여부작성일갱신주기
01전주시장애인주간보호시설정다운주간보호센터전주시 덕진구 기린대로 549 (덕진동2가, 샬롬빌)063-274-0095노인장애인복지과공개2015.11년
12전주시점자도서관전북장애인점자도서관전주시 덕진구 학산길 26-3 (팔복동2가)063-288-0046노인장애인복지과공개2015.11년
23전주시장애인심부름센터전북심부름센터전주시 덕진구 학산길 26-3 (팔복동2가)063-282-3880노인장애인복지과공개2015.11년
34전주시장애인심부름센터전주심부름센터전주시 완산구 매곡로 27-8 (동완산동)063-283-7651노인장애인복지과공개2015.11년
45전주시장애인주간보호시설전북장애인부모회부설주간보호센터전주시 완산구 계룡산길 44-8 (삼천동2가)063-224-6678노인장애인복지과공개2015.11년
56전주시장애인주간보호시설전주베다니주간보호센터전주시 완산구 능안자구길 134-11 (삼천동3가)063-223-2592노인장애인복지과공개2015.11년
67전주시장애인주간보호시설꿈마을주간보호센터전주시 완산구 맏내3길 22 (평화동2가, 동아현대아파트)063-227-0644노인장애인복지과공개2015.11년
78전주시장애인복지관전주시 장애인복지관전주시 완산구 백제대로 20-41 (평화동1가)063-229-0061노인장애인복지과공개2015.11년
89전주시장애인주간보호시설전주장애인복지관 부설 주간보호시설전주시 완산구 백제대로 20-41 (평화동1가)063-229-0061노인장애인복지과공개2015.11년
910전주시장애인수화통역센터전북수화통역센터전주시 완산구 신봉4길 11 (효자동1가)063-228-1804노인장애인복지과공개2015.11년
순번시군명시설구분시설명도로명주소전화번호자료출처공개여부작성일갱신주기
155156진안군장애인거주시설흰마실진안군 백운면 윤기길 4-35063-433-2200노인장애인복지과공개2015.11년
156157무주군지적장애인시설하은의 집무주군 부남면 상평당길 41063-322-6448노인장애인복지과공개2015.11년
157158장수군장애인거주시설벧엘장애인의집장수군 장계면 명덕양지길 106-1063-353-1251노인장애인복지과공개2015.11년
158159장수군장애인거주시설만나의집장수군 번암면 성암길 458-16063-352-3688노인장애인복지과공개2015.11년
159160임실군장애인거주시설로뎀하우스임실군 신평면 석등슬치로 491-7063-643-1888노인장애인복지과공개2015.11년
160161임실군장애인공동생활가정소망장애인공동체임실군 임실읍 호국로 1456-57063-643-7004노인장애인복지과공개2015.11년
161162순창군장애인거주시설함께사는마을순창군 쌍치면 용전길 116-142063-653-0495노인장애인복지과공개2015.11년
162163순창군장애인거주시설주향의집순창군 동계면 강동로 118-39063-653-8183노인장애인복지과공개2015.11년
163164순창군장애인거주시설로뎀나무순창군 금과면 방계로 33-2063-652-2393노인장애인복지과공개2015.11년
164165고창군장애인거주시설아름다운마을고창군 상하면 풍촌길 8063-563-7335노인장애인복지과공개2015.11년