Overview

Dataset statistics

Number of variables8
Number of observations153
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.8 KiB
Average record size in memory65.9 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description장애인복지시설현황202001
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=203165

Alerts

Unnamed: 0 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with Unnamed: 0High correlation
법인명 has 3 (2.0%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:06:38.141263
Analysis finished2024-03-14 02:06:38.988069
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Unnamed: 0
Real number (ℝ)

HIGH CORRELATION 

Distinct83
Distinct (%)54.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.026144
Minimum1
Maximum83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-14T11:06:39.082971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q120
median39
Q358
95-th percentile75.4
Maximum83
Range82
Interquartile range (IQR)38

Descriptive statistics

Standard deviation22.627402
Coefficient of variation (CV)0.57980112
Kurtosis-1.1050647
Mean39.026144
Median Absolute Deviation (MAD)19
Skewness0.070112095
Sum5971
Variance511.99931
MonotonicityNot monotonic
2024-03-14T11:06:39.210627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2
 
1.3%
46 2
 
1.3%
52 2
 
1.3%
51 2
 
1.3%
50 2
 
1.3%
49 2
 
1.3%
48 2
 
1.3%
47 2
 
1.3%
45 2
 
1.3%
54 2
 
1.3%
Other values (73) 133
86.9%
ValueCountFrequency (%)
1 2
1.3%
2 2
1.3%
3 2
1.3%
4 2
1.3%
5 2
1.3%
6 2
1.3%
7 2
1.3%
8 2
1.3%
9 2
1.3%
10 2
1.3%
ValueCountFrequency (%)
83 1
0.7%
82 1
0.7%
81 1
0.7%
80 1
0.7%
79 1
0.7%
78 1
0.7%
77 1
0.7%
76 1
0.7%
75 1
0.7%
74 1
0.7%

구분
Categorical

HIGH CORRELATION 

Distinct15
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
전주시
30 
익산시
23 
군산시
18 
정읍시
16 
완주군
14 
Other values (10)
52 

Length

Max length6
Median length3
Mean length3.0784314
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 30
19.6%
익산시 23
15.0%
군산시 18
11.8%
정읍시 16
10.5%
완주군 14
9.2%
남원시 9
 
5.9%
김제시 9
 
5.9%
순창군 7
 
4.6%
부안군 6
 
3.9%
고창군 5
 
3.3%
Other values (5) 16
10.5%

Length

2024-03-14T11:06:39.313982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 30
19.6%
익산시 23
15.0%
군산시 18
11.8%
정읍시 16
10.5%
완주군 14
9.2%
남원시 9
 
5.9%
김제시 9
 
5.9%
순창군 7
 
4.6%
부안군 6
 
3.9%
고창군 5
 
3.3%
Other values (5) 16
10.5%

유형
Categorical

Distinct14
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
지적
31 
주간보호
31 
공동
18 
수어통역센터
15 
이동지원센터
15 
Other values (9)
43 

Length

Max length6
Median length5
Mean length3.4640523
Min length2

Unique

Unique2 ?
Unique (%)1.3%

Sample

1st row지체
2nd row지적
3rd row중증
4th row지적
5th row단기

Common Values

ValueCountFrequency (%)
지적 31
20.3%
주간보호 31
20.3%
공동 18
11.8%
수어통역센터 15
9.8%
이동지원센터 15
9.8%
중증 13
8.5%
복지관 13
8.5%
지체 4
 
2.6%
재활치료시설 4
 
2.6%
체육시설 3
 
2.0%
Other values (4) 6
 
3.9%

Length

2024-03-14T11:06:39.422608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
지적 31
20.3%
주간보호 31
20.3%
공동 18
11.8%
수어통역센터 15
9.8%
이동지원센터 15
9.8%
중증 13
8.5%
복지관 13
8.5%
지체 4
 
2.6%
재활치료시설 4
 
2.6%
체육시설 3
 
2.0%
Other values (4) 6
 
3.9%

법인명
Text

MISSING 

Distinct99
Distinct (%)66.0%
Missing3
Missing (%)2.0%
Memory size1.3 KiB
2024-03-14T11:06:39.602426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length8.9
Min length2

Characters and Unicode

Total characters1335
Distinct characters150
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 (%)51.3%

Sample

1st row동암
2nd row소화자매원
3rd row송광
4th row사회복지법인 평안한복지
5th row(사)전라북도장애인부모회
ValueCountFrequency (%)
개인 12
 
6.2%
사회복지법인 10
 
5.2%
중도원 9
 
4.6%
한기장복지재단 7
 
3.6%
한국시각장애인연합회 6
 
3.1%
전북지부 5
 
2.6%
전북시각장애인연합회 4
 
2.1%
전주가톨릭사회복지회 4
 
2.1%
해오름복지재단 4
 
2.1%
전라북도농아인협회 4
 
2.1%
Other values (96) 129
66.5%
2024-03-14T11:06:39.950276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 104
 
7.8%
지 93
 
7.0%
인 75
 
5.6%
복 51
 
3.8%
전 49
 
3.7%
사 46
 
3.4%
장 45
 
3.4%
42
 
3.1%
애 39
 
2.9%
북 38
 
2.8%
Other values (140) 753
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1267
94.9%
Space Separator 42
 
3.1%
Close Punctuation 15
 
1.1%
Open Punctuation 6
 
0.4%
Control 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 104
 
8.2%
지 93
 
7.3%
인 75
 
5.9%
복 51
 
4.0%
전 49
 
3.9%
사 46
 
3.6%
장 45
 
3.6%
애 39
 
3.1%
북 38
 
3.0%
시 35
 
2.8%
Other values (136) 692
54.6%
Space Separator
ValueCountFrequency (%)
42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Control
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1267
94.9%
Common 68
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 104
 
8.2%
지 93
 
7.3%
인 75
 
5.9%
복 51
 
4.0%
전 49
 
3.9%
사 46
 
3.6%
장 45
 
3.6%
애 39
 
3.1%
북 38
 
3.0%
시 35
 
2.8%
Other values (136) 692
54.6%
Common
ValueCountFrequency (%)
42
61.8%
) 15
 
22.1%
( 6
 
8.8%
5
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1267
94.9%
ASCII 68
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 104
 
8.2%
지 93
 
7.3%
인 75
 
5.9%
복 51
 
4.0%
전 49
 
3.9%
사 46
 
3.6%
장 45
 
3.6%
애 39
 
3.1%
북 38
 
3.0%
시 35
 
2.8%
Other values (136) 692
54.6%
ASCII
ValueCountFrequency (%)
42
61.8%
) 15
 
22.1%
( 6
 
8.8%
5
 
7.4%

법인유형
Categorical

Distinct16
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사회복지법인
63 
사단법인
54 
<NA>
14 
사복
 
4
사회복지
 
3
Other values (11)
15 

Length

Max length7
Median length6
Mean length4.7973856
Min length1

Unique

Unique9 ?
Unique (%)5.9%

Sample

1st row사회복지법인
2nd row사회복지법인
3rd row사회복지법인
4th row사회복지법인
5th row사단법인

Common Values

ValueCountFrequency (%)
사회복지법인 63
41.2%
사단법인 54
35.3%
<NA> 14
 
9.2%
사복 4
 
2.6%
사회복지 3
 
2.0%
사단 3
 
2.0%
정읍시(직영) 3
 
2.0%
사회복지법인 1
 
0.7%
개인 1
 
0.7%
- 1
 
0.7%
Other values (6) 6
 
3.9%

Length

2024-03-14T11:06:40.068319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회복지법인 64
41.8%
사단법인 54
35.3%
na 14
 
9.2%
사복 4
 
2.6%
사회복지 3
 
2.0%
사단 3
 
2.0%
정읍시(직영 3
 
2.0%
개인 1
 
0.7%
1
 
0.7%
시설법인 1
 
0.7%
Other values (5) 5
 
3.3%

시설명
Text

Distinct151
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T11:06:40.258034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.254902
Min length2

Characters and Unicode

Total characters1263
Distinct characters189
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)97.4%

Sample

1st row동암재활원
2nd row소화진달네집
3rd row금선백련마을
4th row평안의집
5th row한마음단기보호센타
ValueCountFrequency (%)
주간보호센터 5
 
3.0%
장애인생활이동지원센터 3
 
1.8%
순창장애인생활이동지원센터 2
 
1.2%
순창군수어통역센터 2
 
1.2%
완주군장애인복지관 2
 
1.2%
공동생활가정 2
 
1.2%
소리엘언어심리센터 1
 
0.6%
완주장애인생활이동지원센터 1
 
0.6%
정읍시장애인종합복지관 1
 
0.6%
한마음주간보호실 1
 
0.6%
Other values (145) 145
87.9%
2024-03-14T11:06:40.589448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 61
 
4.8%
센 60
 
4.8%
장 45
 
3.6%
애 45
 
3.6%
인 44
 
3.5%
주 43
 
3.4%
지 38
 
3.0%
원 36
 
2.9%
호 35
 
2.8%
보 33
 
2.6%
Other values (179) 823
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
98.4%
Space Separator 15
 
1.2%
Decimal Number 4
 
0.3%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 61
 
4.9%
센 60
 
4.8%
장 45
 
3.6%
애 45
 
3.6%
인 44
 
3.5%
주 43
 
3.5%
지 38
 
3.1%
원 36
 
2.9%
호 35
 
2.8%
보 33
 
2.7%
Other values (175) 803
64.6%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
98.4%
Common 20
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 61
 
4.9%
센 60
 
4.8%
장 45
 
3.6%
애 45
 
3.6%
인 44
 
3.5%
주 43
 
3.5%
지 38
 
3.1%
원 36
 
2.9%
호 35
 
2.8%
보 33
 
2.7%
Other values (175) 803
64.6%
Common
ValueCountFrequency (%)
15
75.0%
2 2
 
10.0%
1 2
 
10.0%
1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1242
98.3%
ASCII 20
 
1.6%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 61
 
4.9%
센 60
 
4.8%
장 45
 
3.6%
애 45
 
3.6%
인 44
 
3.5%
주 43
 
3.5%
지 38
 
3.1%
원 36
 
2.9%
호 35
 
2.8%
보 33
 
2.7%
Other values (174) 802
64.6%
ASCII
ValueCountFrequency (%)
15
75.0%
2 2
 
10.0%
1 2
 
10.0%
1
 
5.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

시설 주소
Text

Distinct138
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T11:06:40.865220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length33
Mean length18.816993
Min length10

Characters and Unicode

Total characters2879
Distinct characters201
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)81.7%

Sample

1st row전주시 완산구 천잠로 275(효자동3가)
2nd row전주시 완산구 우림로 595-32(용복동)
3rd row전주시 완산구 덕적골1길18-3(평화동1가)
4th row전주시 완산구 선너머2길 29-15(중화산동2가)
5th row전주시 완산구 계룡산길 44-8(삼천동2가)
ValueCountFrequency (%)
전북 34
 
5.2%
전주시 34
 
5.2%
완산구 23
 
3.5%
익산시 22
 
3.4%
군산시 18
 
2.8%
정읍시 14
 
2.2%
완주군 12
 
1.8%
덕진구 11
 
1.7%
남원시 9
 
1.4%
김제시 9
 
1.4%
Other values (337) 464
71.4%
2024-03-14T11:06:41.290768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
499
 
17.3%
1 146
 
5.1%
시 109
 
3.8%
2 89
 
3.1%
산 89
 
3.1%
길 85
 
3.0%
로 76
 
2.6%
전 74
 
2.6%
동 65
 
2.3%
군 63
 
2.2%
Other values (191) 1584
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1603
55.7%
Decimal Number 605
 
21.0%
Space Separator 499
 
17.3%
Dash Punctuation 62
 
2.2%
Open Punctuation 37
 
1.3%
Close Punctuation 37
 
1.3%
Other Punctuation 34
 
1.2%
Uppercase Letter 1
 
< 0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 109
 
6.8%
산 89
 
5.6%
길 85
 
5.3%
로 76
 
4.7%
전 74
 
4.6%
동 65
 
4.1%
군 63
 
3.9%
주 58
 
3.6%
읍 45
 
2.8%
북 42
 
2.6%
Other values (173) 897
56.0%
Decimal Number
ValueCountFrequency (%)
1 146
24.1%
2 89
14.7%
3 60
9.9%
4 53
 
8.8%
5 50
 
8.3%
7 47
 
7.8%
6 43
 
7.1%
9 40
 
6.6%
8 40
 
6.6%
0 37
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 28
82.4%
@ 6
 
17.6%
Space Separator
ValueCountFrequency (%)
499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1603
55.7%
Common 1275
44.3%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 109
 
6.8%
산 89
 
5.6%
길 85
 
5.3%
로 76
 
4.7%
전 74
 
4.6%
동 65
 
4.1%
군 63
 
3.9%
주 58
 
3.6%
읍 45
 
2.8%
북 42
 
2.6%
Other values (173) 897
56.0%
Common
ValueCountFrequency (%)
499
39.1%
1 146
 
11.5%
2 89
 
7.0%
- 62
 
4.9%
3 60
 
4.7%
4 53
 
4.2%
5 50
 
3.9%
7 47
 
3.7%
6 43
 
3.4%
9 40
 
3.1%
Other values (7) 186
 
14.6%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1603
55.7%
ASCII 1276
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
499
39.1%
1 146
 
11.4%
2 89
 
7.0%
- 62
 
4.9%
3 60
 
4.7%
4 53
 
4.2%
5 50
 
3.9%
7 47
 
3.7%
6 43
 
3.4%
9 40
 
3.1%
Other values (8) 187
 
14.7%
Hangul
ValueCountFrequency (%)
시 109
 
6.8%
산 89
 
5.6%
길 85
 
5.3%
로 76
 
4.7%
전 74
 
4.6%
동 65
 
4.1%
군 63
 
3.9%
주 58
 
3.6%
읍 45
 
2.8%
북 42
 
2.6%
Other values (173) 897
56.0%

전화번호
Text

Distinct147
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-14T11:06:41.513732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.411765
Min length8

Characters and Unicode

Total characters1746
Distinct characters15
Distinct categories6 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique141 ?
Unique (%)92.2%

Sample

1st row222-4444
2nd row222-2786
3rd row236-0550
4th row282-7728
5th row224-6678
ValueCountFrequency (%)
063-652-5784 2
 
1.3%
063-653-0633 2
 
1.3%
010-2057-5899 2
 
1.3%
063-261-7801 2
 
1.3%
901-0625 2
 
1.3%
063-542-9500 2
 
1.3%
063-858-4858 1
 
0.6%
063-288-9083 1
 
0.6%
063-855-6520 1
 
0.6%
063-842-8819 1
 
0.6%
Other values (139) 139
89.7%
2024-03-14T11:06:41.817601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 268
15.3%
3 251
14.4%
6 250
14.3%
0 243
13.9%
2 145
8.3%
5 136
7.8%
4 107
 
6.1%
8 94
 
5.4%
1 84
 
4.8%
9 82
 
4.7%
Other values (5) 86
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1463
83.8%
Dash Punctuation 268
 
15.3%
Close Punctuation 11
 
0.6%
Space Separator 2
 
0.1%
Other Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 251
17.2%
6 250
17.1%
0 243
16.6%
2 145
9.9%
5 136
9.3%
4 107
7.3%
8 94
 
6.4%
1 84
 
5.7%
9 82
 
5.6%
7 71
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1746
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 268
15.3%
3 251
14.4%
6 250
14.3%
0 243
13.9%
2 145
8.3%
5 136
7.8%
4 107
 
6.1%
8 94
 
5.4%
1 84
 
4.8%
9 82
 
4.7%
Other values (5) 86
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1746
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 268
15.3%
3 251
14.4%
6 250
14.3%
0 243
13.9%
2 145
8.3%
5 136
7.8%
4 107
 
6.1%
8 94
 
5.4%
1 84
 
4.8%
9 82
 
4.7%
Other values (5) 86
 
4.9%

Interactions

2024-03-14T11:06:38.752704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:06:41.917508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 0구분유형법인명법인유형
Unnamed: 01.0000.9100.3520.9130.316
구분0.9101.0000.0000.9750.626
유형0.3520.0001.0000.0000.634
법인명0.9130.9750.0001.0000.997
법인유형0.3160.6260.6340.9971.000
2024-03-14T11:06:42.019405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형법인유형
구분1.0000.0000.200
유형0.0001.0000.274
법인유형0.2000.2741.000
2024-03-14T11:06:42.101102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 0구분유형법인유형
Unnamed: 01.0000.6250.1460.117
구분0.6251.0000.0000.200
유형0.1460.0001.0000.274
법인유형0.1170.2000.2741.000

Missing values

2024-03-14T11:06:38.833189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:06:38.930737image/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

Unnamed: 0구분유형법인명법인유형시설명시설 주소전화번호
01전주시지체동암사회복지법인동암재활원전주시 완산구 천잠로 275(효자동3가)222-4444
12전주시지적소화자매원사회복지법인소화진달네집전주시 완산구 우림로 595-32(용복동)222-2786
23전주시중증송광사회복지법인금선백련마을전주시 완산구 덕적골1길18-3(평화동1가)236-0550
34전주시지적사회복지법인 평안한복지사회복지법인평안의집전주시 완산구 선너머2길 29-15(중화산동2가)282-7728
45전주시단기(사)전라북도장애인부모회사단법인한마음단기보호센타전주시 완산구 계룡산길 44-8(삼천동2가)224-6678
56전주시공동전라북도장애인손수레자립생활협회사단법인손수레 공동생활가정전주시 덕진구 가재미2길 5-6 희성빌라 101호(인후동1가)229-0993
67전주시공동개인<NA>작은나눔의집전주시 덕진구 가재미5길 17(인후동1가)247-6337
78전주시공동(사)바른복지사무소사단법인희망해1호전주시 완산구 강당1길2, 201호,202호(서완산동2가)901-0625
89전주시공동(사)바른복지사무소사단법인희망해2호전주시 완산구 강변로 278, 가동 203호(효자동3가, 태광연립)901-0625
910전주시공동개인<NA>라파쉼터 공동생활가정전주시 덕진구 도당산4길 53-5(우아동3가)010-2057-5899
Unnamed: 0구분유형법인명법인유형시설명시설 주소전화번호
14374순창군이동지원센터한국시각장애인연합회 전북지부 순창군지회사단법인순창장애인생활이동지원센터순창군 순창읍 순창9길 16-18063-653-0633
14475순창군수어통역센터전라북도농아인협회 순창군지회사단법인순창군수어통역센터순창군 순창읍 장류로 407-11063-652-5784
14576고창군복지관사)한두레장애인자립생활협회사단법인고창군장애인복지관전북 고창군 고창읍 전봉준로 88-9063-562-3777
14677고창군수어통역센터전북시각장애인연합회 고창군지회사단법인고창군수어통역센터전북 고창군 고창읍 월곡14길 19063-561-2053
14778고창군이동지원센터전북농아인협회 고창군지회사단법인고창장애인생활이동지원센터전북고창군고창읍월곡14길19063-562-0226
14879부안군복지관한기장복지재단사회복지법인부안장애인종합복지관전북 부안군 부안읍 용암로 134063-580-7600
14980부안군주간보호한기장복지재단사회복지법인부안장애인종합복지관주간보호센터전북 부안군 부안읍 용암로 135063-580-7602
15081부안군복지관한기장복지재단사회복지법인부안종합사회복지관전북 부안군 부안읍 용암로 136063-580-7610
15182부안군수어통역센터한국농아인협회사단법인한국수어통역센터전북 부안군 부안읍 소금샘길 23063-581-2631
15283부안군이동지원센터한국시각장애인연합회사단법인생활이동지원센터전북 부안군 부안읍 석정로162583-0087