Overview

Dataset statistics

Number of variables10
Number of observations163
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory82.8 B

Variable types

Numeric1
Categorical6
Text3

Alerts

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
자료출처 is highly imbalanced (94.6%)Imbalance
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:42:39.670073
Analysis finished2024-03-14 00:42:40.229847
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct162
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.595092
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-14T09:42:40.289364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.1
Q141.5
median82
Q3123.5
95-th percentile156.9
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.778248
Coefficient of variation (CV)0.57846352
Kurtosis-1.1978985
Mean82.595092
Median Absolute Deviation (MAD)41
Skewness0.021236514
Sum13463
Variance2282.761
MonotonicityIncreasing
2024-03-14T09:42:40.397963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 2
 
1.2%
1 1
 
0.6%
106 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 (152) 152
93.3%
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 (%)8.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
전주시
33 
익산시
28 
완주군
17 
군산시
16 
정읍시
14 
Other values (9)
55 

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 33
20.2%
익산시 28
17.2%
완주군 17
10.4%
군산시 16
9.8%
정읍시 14
8.6%
남원시 10
 
6.1%
김제시 9
 
5.5%
장수군 7
 
4.3%
진안군 5
 
3.1%
무주군 5
 
3.1%
Other values (4) 19
11.7%

Length

2024-03-14T09:42:40.495645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 33
20.2%
익산시 28
17.2%
완주군 17
10.4%
군산시 16
9.8%
정읍시 14
8.6%
남원시 10
 
6.1%
김제시 9
 
5.5%
장수군 7
 
4.3%
진안군 5
 
3.1%
무주군 5
 
3.1%
Other values (4) 19
11.7%

시설구분
Categorical

Distinct20
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
장애인거주시설
46 
장애인주간보호시설
26 
장애인보호작업장
18 
장애인 공동생활가정
16 
장애인수어통역센터
14 
Other values (15)
43 

Length

Max length16
Median length11
Mean length8.3374233
Min length5

Unique

Unique6 ?
Unique (%)3.7%

Sample

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

Common Values

ValueCountFrequency (%)
장애인거주시설 46
28.2%
장애인주간보호시설 26
16.0%
장애인보호작업장 18
 
11.0%
장애인 공동생활가정 16
 
9.8%
장애인수어통역센터 14
 
8.6%
장애인복지관 13
 
8.0%
장애인생활이동지원센터 9
 
5.5%
장애인공동생활가정 3
 
1.8%
장애인근로사업장 2
 
1.2%
장애인 단기거주시설 2
 
1.2%
Other values (10) 14
 
8.6%

Length

2024-03-14T09:42:40.586497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장애인거주시설 46
25.4%
장애인주간보호시설 26
14.4%
장애인보호작업장 18
 
9.9%
장애인 18
 
9.9%
공동생활가정 16
 
8.8%
장애인수어통역센터 14
 
7.7%
장애인복지관 13
 
7.2%
장애인생활이동지원센터 9
 
5.0%
장애인공동생활가정 3
 
1.7%
점자도서관 2
 
1.1%
Other values (11) 16
 
8.8%

시설명
Text

UNIQUE 

Distinct163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T09:42:40.803364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.2760736
Min length2

Characters and Unicode

Total characters1349
Distinct characters179
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

Unique163 ?
Unique (%)100.0%

Sample

1st row정다운주간보호센터
2nd row전라북도점자도서관
3rd row전북장애인생활이동지원센터
4th row전주장애인생활이동지원센터
5th row전북장애인부모회부설주간보호센터
ValueCountFrequency (%)
장애인복지관 12
 
5.9%
부설 8
 
3.9%
주간보호센터 7
 
3.4%
4
 
2.0%
주간보호시설 3
 
1.5%
장수군 2
 
1.0%
남원장애인복지관 2
 
1.0%
공동생활가정 2
 
1.0%
홍주원 1
 
0.5%
해오름3호 1
 
0.5%
Other values (162) 162
79.4%
2024-03-14T09:42:41.185796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
4.4%
51
 
3.8%
51
 
3.8%
46
 
3.4%
44
 
3.3%
43
 
3.2%
43
 
3.2%
41
 
3.0%
41
 
3.0%
37
 
2.7%
Other values (169) 893
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1299
96.3%
Space Separator 41
 
3.0%
Decimal Number 9
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
59
 
4.5%
51
 
3.9%
51
 
3.9%
46
 
3.5%
44
 
3.4%
43
 
3.3%
43
 
3.3%
41
 
3.2%
37
 
2.8%
34
 
2.6%
Other values (165) 850
65.4%
Decimal Number
ValueCountFrequency (%)
2 4
44.4%
1 3
33.3%
3 2
22.2%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1299
96.3%
Common 50
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
59
 
4.5%
51
 
3.9%
51
 
3.9%
46
 
3.5%
44
 
3.4%
43
 
3.3%
43
 
3.3%
41
 
3.2%
37
 
2.8%
34
 
2.6%
Other values (165) 850
65.4%
Common
ValueCountFrequency (%)
41
82.0%
2 4
 
8.0%
1 3
 
6.0%
3 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1299
96.3%
ASCII 50
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
59
 
4.5%
51
 
3.9%
51
 
3.9%
46
 
3.5%
44
 
3.4%
43
 
3.3%
43
 
3.3%
41
 
3.2%
37
 
2.8%
34
 
2.6%
Other values (165) 850
65.4%
ASCII
ValueCountFrequency (%)
41
82.0%
2 4
 
8.0%
1 3
 
6.0%
3 2
 
4.0%
Distinct125
Distinct (%)76.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T09:42:41.464911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length28
Mean length18.95092
Min length13

Characters and Unicode

Total characters3089
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

Unique95 ?
Unique (%)58.3%

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 33
 
4.7%
익산시 28
 
4.0%
완산구 22
 
3.1%
완주군 17
 
2.4%
군산시 16
 
2.3%
정읍시 14
 
2.0%
덕진구 11
 
1.6%
남원시 10
 
1.4%
김제시 9
 
1.3%
장수군 7
 
1.0%
Other values (328) 532
76.1%
2024-03-14T09:42:41.803821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
536
 
17.4%
1 140
 
4.5%
110
 
3.6%
106
 
3.4%
92
 
3.0%
92
 
3.0%
2 86
 
2.8%
( 80
 
2.6%
) 80
 
2.6%
79
 
2.6%
Other values (178) 1688
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1754
56.8%
Decimal Number 564
 
18.3%
Space Separator 536
 
17.4%
Open Punctuation 80
 
2.6%
Close Punctuation 80
 
2.6%
Dash Punctuation 62
 
2.0%
Other Punctuation 13
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
110
 
6.3%
106
 
6.0%
92
 
5.2%
92
 
5.2%
79
 
4.5%
72
 
4.1%
65
 
3.7%
50
 
2.9%
44
 
2.5%
40
 
2.3%
Other values (163) 1004
57.2%
Decimal Number
ValueCountFrequency (%)
1 140
24.8%
2 86
15.2%
5 58
10.3%
3 58
10.3%
7 49
 
8.7%
4 47
 
8.3%
8 39
 
6.9%
6 35
 
6.2%
9 33
 
5.9%
0 19
 
3.4%
Space Separator
ValueCountFrequency (%)
536
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1754
56.8%
Common 1335
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
110
 
6.3%
106
 
6.0%
92
 
5.2%
92
 
5.2%
79
 
4.5%
72
 
4.1%
65
 
3.7%
50
 
2.9%
44
 
2.5%
40
 
2.3%
Other values (163) 1004
57.2%
Common
ValueCountFrequency (%)
536
40.1%
1 140
 
10.5%
2 86
 
6.4%
( 80
 
6.0%
) 80
 
6.0%
- 62
 
4.6%
5 58
 
4.3%
3 58
 
4.3%
7 49
 
3.7%
4 47
 
3.5%
Other values (5) 139
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1754
56.8%
ASCII 1335
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
536
40.1%
1 140
 
10.5%
2 86
 
6.4%
( 80
 
6.0%
) 80
 
6.0%
- 62
 
4.6%
5 58
 
4.3%
3 58
 
4.3%
7 49
 
3.7%
4 47
 
3.5%
Other values (5) 139
 
10.4%
Hangul
ValueCountFrequency (%)
110
 
6.3%
106
 
6.0%
92
 
5.2%
92
 
5.2%
79
 
4.5%
72
 
4.1%
65
 
3.7%
50
 
2.9%
44
 
2.5%
40
 
2.3%
Other values (163) 1004
57.2%
Distinct142
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-14T09:42:42.009094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.03681
Min length12

Characters and Unicode

Total characters1962
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

Unique124 ?
Unique (%)76.1%

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 4
 
2.5%
063-636-6204 3
 
1.8%
063-837-7300 2
 
1.2%
063-855-6520 2
 
1.2%
063-635-1544 2
 
1.2%
063-532-0700 2
 
1.2%
063-536-1451 2
 
1.2%
063-852-1174 2
 
1.2%
063-466-7981 2
 
1.2%
063-445-6361 2
 
1.2%
Other values (132) 140
85.9%
2024-03-14T09:42:42.327144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 326
16.6%
3 302
15.4%
6 289
14.7%
0 258
13.1%
2 158
8.1%
5 150
7.6%
4 123
 
6.3%
1 102
 
5.2%
8 100
 
5.1%
9 76
 
3.9%
Other values (2) 78
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1634
83.3%
Dash Punctuation 326
 
16.6%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 302
18.5%
6 289
17.7%
0 258
15.8%
2 158
9.7%
5 150
9.2%
4 123
7.5%
1 102
 
6.2%
8 100
 
6.1%
9 76
 
4.7%
7 76
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 326
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1962
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 326
16.6%
3 302
15.4%
6 289
14.7%
0 258
13.1%
2 158
8.1%
5 150
7.6%
4 123
 
6.3%
1 102
 
5.2%
8 100
 
5.1%
9 76
 
3.9%
Other values (2) 78
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1962
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 326
16.6%
3 302
15.4%
6 289
14.7%
0 258
13.1%
2 158
8.1%
5 150
7.6%
4 123
 
6.3%
1 102
 
5.2%
8 100
 
5.1%
9 76
 
3.9%
Other values (2) 78
 
4.0%

자료출처
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
노인장애인복지과
162 
063-452-0911
 
1

Length

Max length12
Median length8
Mean length8.0245399
Min length8

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
노인장애인복지과 162
99.4%
063-452-0911 1
 
0.6%

Length

2024-03-14T09:42:42.444336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:42:42.534487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 162
99.4%
063-452-0911 1
 
0.6%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
공개
163 

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 163
100.0%

Length

2024-03-14T09:42:42.615121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:42:42.693091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 163
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2017.12
163 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017.12
2nd row2017.12
3rd row2017.12
4th row2017.12
5th row2017.12

Common Values

ValueCountFrequency (%)
2017.12 163
100.0%

Length

2024-03-14T09:42:42.767478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:42:42.864384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.12 163
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
1년
163 

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 163
100.0%

Length

2024-03-14T09:42:42.947736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:42:43.030641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 163
100.0%

Interactions

2024-03-14T09:42:39.970087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:42:43.083591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분자료출처
순번1.0000.8540.8080.101
시군명0.8541.0000.2000.000
시설구분0.8080.2001.0000.000
자료출처0.1010.0000.0001.000
2024-03-14T09:42:43.190197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명시설구분자료출처
시군명1.0000.0590.000
시설구분0.0591.0000.000
자료출처0.0000.0001.000
2024-03-14T09:42:43.278677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명시설구분자료출처
순번1.0000.5640.3840.073
시군명0.5641.0000.0590.000
시설구분0.3840.0591.0000.000
자료출처0.0730.0000.0001.000

Missing values

2024-03-14T09:42:40.060648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:42:40.172125image/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)063-274-0095노인장애인복지과공개2017.121년
12전주시점자도서관전라북도점자도서관전주시 덕진구 학산길 26-3 (팔복동2가)063-288-0046노인장애인복지과공개2017.121년
23전주시생활이동지원센터전북장애인생활이동지원센터전주시 덕진구 학산길 26-3 (팔복동2가)063-282-3880노인장애인복지과공개2017.121년
34전주시생활이동지원센터전주장애인생활이동지원센터전주시 완산구 매곡로 27-8 (동완산동)063-283-7651노인장애인복지과공개2017.121년
45전주시장애인주간보호시설전북장애인부모회부설주간보호센터전주시 완산구 계룡산길 44-8 (삼천동2가)063-224-6678노인장애인복지과공개2017.121년
56전주시장애인주간보호시설전주베다니주간보호센터전주시 완산구 능안자구길 134-11 (삼천동3가)063-223-2592노인장애인복지과공개2017.121년
67전주시장애인주간보호시설꿈마을주간보호센터전주시 완산구 맏내3길 22 (평화동2가, 동아현대아파트)063-227-0644노인장애인복지과공개2017.121년
78전주시장애인복지관전주시 장애인복지관전주시 완산구 백제대로 20-41 (평화동1가)063-229-0061노인장애인복지과공개2017.121년
89전주시장애인주간보호시설전주장애인복지관 부설 주간보호시설전주시 완산구 백제대로 20-41 (평화동1가)063-229-0061노인장애인복지과공개2017.121년
910전주시장애인수어통역센터전북수어통역센터전주시 완산구 신봉4길 11 (효자동1가)063-228-1804노인장애인복지과공개2017.121년
순번시군명시설구분시설명도로명주소전화번호자료출처공개여부작성일갱신주기
153156진안군장애인거주시설흰마실진안군 백운면 윤기길 4-35063-433-2200노인장애인복지과공개2017.121년
154157무주군지적장애인시설하은의 집무주군 부남면 상평당길 41063-322-6448노인장애인복지과공개2017.121년
155158장수군장애인거주시설벧엘장애인의집장수군 장계면 명덕양지길 106-1063-353-1251노인장애인복지과공개2017.121년
156159장수군장애인거주시설만나의집장수군 번암면 성암길 458-16063-352-3688노인장애인복지과공개2017.121년
157160임실군장애인거주시설로뎀하우스임실군 신평면 석등슬치로 491-7063-643-1888노인장애인복지과공개2017.121년
158161순창군장애인거주시설함께사는마을순창군 쌍치면 용전길 116-142063-653-0495노인장애인복지과공개2017.121년
159162순창군장애인거주시설주향의집순창군 동계면 강동로 118-39063-653-8183노인장애인복지과공개2017.121년
160163순창군장애인거주시설로뎀나무순창군 금과면 방계로 33-2063-652-2393노인장애인복지과공개2017.121년
161164고창군장애인거주시설아름다운마을고창군 상하면 풍촌길 8063-563-7335노인장애인복지과공개2017.121년
162165고창군장애인거주시설느티나무고창군 성내면 광주동길 184-23063-561-5501노인장애인복지과공개2017.121년