Overview

Dataset statistics

Number of variables11
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory93.9 B

Variable types

Numeric1
Categorical6
Text4

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
기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:11:56.313149
Analysis finished2024-03-14 01:11:56.866448
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.617647
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-03-14T10:11:56.914055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.65
Q19.25
median17.5
Q325.75
95-th percentile33.35
Maximum35
Range34
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation10.144456
Coefficient of variation (CV)0.57581218
Kurtosis-1.1453162
Mean17.617647
Median Absolute Deviation (MAD)8.5
Skewness0.052440407
Sum599
Variance102.90998
MonotonicityStrictly increasing
2024-03-14T10:11:57.012078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
1 1
 
2.9%
27 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
28 1
 
2.9%
19 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%
25 1
2.9%

시군명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size404.0 B
전주시
12 
군산시
익산시
남원시
부안군
Other values (4)

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique3 ?
Unique (%)8.8%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 12
35.3%
군산시 6
17.6%
익산시 6
17.6%
남원시 3
 
8.8%
부안군 2
 
5.9%
정읍시 2
 
5.9%
김제시 1
 
2.9%
완주군 1
 
2.9%
진안군 1
 
2.9%

Length

2024-03-14T10:11:57.119996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:57.229048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전주시 12
35.3%
군산시 6
17.6%
익산시 6
17.6%
남원시 3
 
8.8%
부안군 2
 
5.9%
정읍시 2
 
5.9%
김제시 1
 
2.9%
완주군 1
 
2.9%
진안군 1
 
2.9%

기관명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:11:57.438320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length12.029412
Min length8

Characters and Unicode

Total characters409
Distinct characters97
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

Unique34 ?
Unique (%)100.0%

Sample

1st row군산목양원주간보호시설
2nd row군산시장애인복지관주간보호시설
3rd row군산예술심리치료연구소
4th row그린맘심리발달연구소
5th row시각장애인주간보호센터
ValueCountFrequency (%)
군산목양원주간보호시설 1
 
2.9%
군산시장애인복지관주간보호시설 1
 
2.9%
정읍시장애인복지관주간보호시설 1
 
2.9%
사)전북장애인부모회정읍시지회 1
 
2.9%
한국장애인부모회전북지회 1
 
2.9%
천사미소주간보호시설 1
 
2.9%
정다운주간보호시설 1
 
2.9%
전주장애인복지관주간보호시설 1
 
2.9%
전주인성주간보호시설 1
 
2.9%
전라북도장애인부모회남원시지회 1
 
2.9%
Other values (24) 24
70.6%
2024-03-14T10:11:57.810719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
6.1%
24
 
5.9%
21
 
5.1%
21
 
5.1%
21
 
5.1%
18
 
4.4%
18
 
4.4%
17
 
4.2%
17
 
4.2%
16
 
3.9%
Other values (87) 211
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
99.8%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
6.1%
24
 
5.9%
21
 
5.1%
21
 
5.1%
21
 
5.1%
18
 
4.4%
18
 
4.4%
17
 
4.2%
17
 
4.2%
16
 
3.9%
Other values (86) 210
51.5%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
99.8%
Common 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
6.1%
24
 
5.9%
21
 
5.1%
21
 
5.1%
21
 
5.1%
18
 
4.4%
18
 
4.4%
17
 
4.2%
17
 
4.2%
16
 
3.9%
Other values (86) 210
51.5%
Common
ValueCountFrequency (%)
) 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
99.8%
ASCII 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
25
 
6.1%
24
 
5.9%
21
 
5.1%
21
 
5.1%
21
 
5.1%
18
 
4.4%
18
 
4.4%
17
 
4.2%
17
 
4.2%
16
 
3.9%
Other values (86) 210
51.5%
ASCII
ValueCountFrequency (%)
) 1
100.0%

세부구분
Categorical

Distinct3
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
주간보호시설
23 
발달장애인부모심리상담서비스기관
10 
장애아가족양육지원 기관
 
1

Length

Max length16
Median length6
Mean length9.1176471
Min length6

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row주간보호시설
2nd row주간보호시설
3rd row발달장애인부모심리상담서비스기관
4th row발달장애인부모심리상담서비스기관
5th row주간보호시설

Common Values

ValueCountFrequency (%)
주간보호시설 23
67.6%
발달장애인부모심리상담서비스기관 10
29.4%
장애아가족양육지원 기관 1
 
2.9%

Length

2024-03-14T10:11:57.930813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:11:58.023935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주간보호시설 23
65.7%
발달장애인부모심리상담서비스기관 10
28.6%
장애아가족양육지원 1
 
2.9%
기관 1
 
2.9%
Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:11:58.215762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length19
Mean length15.558824
Min length9

Characters and Unicode

Total characters529
Distinct characters97
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

Unique30 ?
Unique (%)88.2%

Sample

1st row군산시 회현면 남군산로 332-45
2nd row군산시 칠성안3길 37
3rd row군산시 대학로 292
4th row군산시 월명로 215 (수송동, 씨티월드)
5th row군산시 거석길 9
ValueCountFrequency (%)
전주시 12
 
9.4%
완산구 11
 
8.6%
군산시 6
 
4.7%
익산시 6
 
4.7%
이백면 3
 
2.3%
남원시 3
 
2.3%
부안군 2
 
1.6%
부안읍 2
 
1.6%
정읍시 2
 
1.6%
충경로 2
 
1.6%
Other values (72) 79
61.7%
2024-03-14T10:11:58.532321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
17.8%
1 33
 
6.2%
30
 
5.7%
25
 
4.7%
24
 
4.5%
2 18
 
3.4%
14
 
2.6%
- 14
 
2.6%
3 14
 
2.6%
13
 
2.5%
Other values (87) 250
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 298
56.3%
Decimal Number 118
 
22.3%
Space Separator 94
 
17.8%
Dash Punctuation 14
 
2.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
10.1%
25
 
8.4%
24
 
8.1%
14
 
4.7%
13
 
4.4%
13
 
4.4%
12
 
4.0%
12
 
4.0%
11
 
3.7%
9
 
3.0%
Other values (72) 135
45.3%
Decimal Number
ValueCountFrequency (%)
1 33
28.0%
2 18
15.3%
3 14
11.9%
5 12
 
10.2%
4 11
 
9.3%
7 9
 
7.6%
9 7
 
5.9%
8 7
 
5.9%
0 5
 
4.2%
6 2
 
1.7%
Space Separator
ValueCountFrequency (%)
94
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
56.3%
Common 231
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
10.1%
25
 
8.4%
24
 
8.1%
14
 
4.7%
13
 
4.4%
13
 
4.4%
12
 
4.0%
12
 
4.0%
11
 
3.7%
9
 
3.0%
Other values (72) 135
45.3%
Common
ValueCountFrequency (%)
94
40.7%
1 33
 
14.3%
2 18
 
7.8%
- 14
 
6.1%
3 14
 
6.1%
5 12
 
5.2%
4 11
 
4.8%
7 9
 
3.9%
9 7
 
3.0%
8 7
 
3.0%
Other values (5) 12
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 298
56.3%
ASCII 231
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
40.7%
1 33
 
14.3%
2 18
 
7.8%
- 14
 
6.1%
3 14
 
6.1%
5 12
 
5.2%
4 11
 
4.8%
7 9
 
3.9%
9 7
 
3.0%
8 7
 
3.0%
Other values (5) 12
 
5.2%
Hangul
ValueCountFrequency (%)
30
 
10.1%
25
 
8.4%
24
 
8.1%
14
 
4.7%
13
 
4.4%
13
 
4.4%
12
 
4.0%
12
 
4.0%
11
 
3.7%
9
 
3.0%
Other values (72) 135
45.3%
Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:11:58.941094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.794118
Min length10

Characters and Unicode

Total characters537
Distinct characters69
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

Unique30 ?
Unique (%)88.2%

Sample

1st row군산시 회현면 증석리 58-8
2nd row군산시 산북동 3612-4
3rd row군산시 나운동 789-25
4th row군산시 수송동 820-4
5th row군산시 명산동 12-6
ValueCountFrequency (%)
전주시 12
 
9.8%
완산구 11
 
9.0%
익산시 6
 
4.9%
군산시 6
 
4.9%
이백면 3
 
2.5%
남원시 3
 
2.5%
부안읍 2
 
1.6%
정읍시 2
 
1.6%
척문리 2
 
1.6%
남중동 2
 
1.6%
Other values (66) 73
59.8%
2024-03-14T10:11:59.300675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
88
 
16.4%
30
 
5.6%
- 29
 
5.4%
1 28
 
5.2%
27
 
5.0%
26
 
4.8%
3 22
 
4.1%
2 20
 
3.7%
5 15
 
2.8%
6 14
 
2.6%
Other values (59) 238
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 276
51.4%
Decimal Number 144
26.8%
Space Separator 88
 
16.4%
Dash Punctuation 29
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
10.9%
27
 
9.8%
26
 
9.4%
14
 
5.1%
13
 
4.7%
12
 
4.3%
12
 
4.3%
12
 
4.3%
11
 
4.0%
8
 
2.9%
Other values (47) 111
40.2%
Decimal Number
ValueCountFrequency (%)
1 28
19.4%
3 22
15.3%
2 20
13.9%
5 15
10.4%
6 14
9.7%
4 13
9.0%
8 9
 
6.2%
9 9
 
6.2%
0 8
 
5.6%
7 6
 
4.2%
Space Separator
ValueCountFrequency (%)
88
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 276
51.4%
Common 261
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
10.9%
27
 
9.8%
26
 
9.4%
14
 
5.1%
13
 
4.7%
12
 
4.3%
12
 
4.3%
12
 
4.3%
11
 
4.0%
8
 
2.9%
Other values (47) 111
40.2%
Common
ValueCountFrequency (%)
88
33.7%
- 29
 
11.1%
1 28
 
10.7%
3 22
 
8.4%
2 20
 
7.7%
5 15
 
5.7%
6 14
 
5.4%
4 13
 
5.0%
8 9
 
3.4%
9 9
 
3.4%
Other values (2) 14
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 276
51.4%
ASCII 261
48.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
88
33.7%
- 29
 
11.1%
1 28
 
10.7%
3 22
 
8.4%
2 20
 
7.7%
5 15
 
5.7%
6 14
 
5.4%
4 13
 
5.0%
8 9
 
3.4%
9 9
 
3.4%
Other values (2) 14
 
5.4%
Hangul
ValueCountFrequency (%)
30
 
10.9%
27
 
9.8%
26
 
9.4%
14
 
5.1%
13
 
4.7%
12
 
4.3%
12
 
4.3%
12
 
4.3%
11
 
4.0%
8
 
2.9%
Other values (47) 111
40.2%
Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-03-14T10:11:59.479820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.029412
Min length12

Characters and Unicode

Total characters409
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

Unique30 ?
Unique (%)88.2%

Sample

1st row063-466-6088
2nd row063-466-7981
3rd row063-468-8396
4th row063-466-6454
5th row063-445-6361
ValueCountFrequency (%)
063-581-9260 2
 
5.9%
063-222-9999 2
 
5.9%
063-466-6088 1
 
2.9%
063-857-4811 1
 
2.9%
063-530-0500 1
 
2.9%
063-536-3009 1
 
2.9%
063-224-0644 1
 
2.9%
063-237-5570 1
 
2.9%
063-274-0095 1
 
2.9%
063-229-0061 1
 
2.9%
Other values (22) 22
64.7%
2024-03-14T10:11:59.810558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.6%
6 62
15.2%
0 61
14.9%
3 53
13.0%
2 36
8.8%
4 32
7.8%
5 23
 
5.6%
8 23
 
5.6%
1 20
 
4.9%
9 18
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 341
83.4%
Dash Punctuation 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 62
18.2%
0 61
17.9%
3 53
15.5%
2 36
10.6%
4 32
9.4%
5 23
 
6.7%
8 23
 
6.7%
1 20
 
5.9%
9 18
 
5.3%
7 13
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 409
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.6%
6 62
15.2%
0 61
14.9%
3 53
13.0%
2 36
8.8%
4 32
7.8%
5 23
 
5.6%
8 23
 
5.6%
1 20
 
4.9%
9 18
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 409
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.6%
6 62
15.2%
0 61
14.9%
3 53
13.0%
2 36
8.8%
4 32
7.8%
5 23
 
5.6%
8 23
 
5.6%
1 20
 
4.9%
9 18
 
4.4%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
노인장애인복지과
34 

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 34
100.0%

Length

2024-03-14T10:11:59.952221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:12:00.060228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인장애인복지과 34
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
공개
34 

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 34
100.0%

Length

2024-03-14T10:12:00.140642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:12:00.215327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 34
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2015.1
34 

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 34
100.0%

Length

2024-03-14T10:12:00.288509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:12:00.360364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 34
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
1년
34 

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 34
100.0%

Length

2024-03-14T10:12:00.436762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:12:00.506543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 34
100.0%

Interactions

2024-03-14T10:11:56.607459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:12:00.556037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명기관명세부구분도로명주소지번주소전화번호
순번1.0000.8181.0000.2960.8560.8560.856
시군명0.8181.0001.0000.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.000
세부구분0.2960.0001.0001.0000.6600.6600.660
도로명주소0.8561.0001.0000.6601.0001.0001.000
지번주소0.8561.0001.0000.6601.0001.0001.000
전화번호0.8561.0001.0000.6601.0001.0001.000
2024-03-14T10:12:00.642409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명세부구분
시군명1.0000.000
세부구분0.0001.000
2024-03-14T10:12:00.713060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명세부구분
순번1.0000.5490.000
시군명0.5491.0000.000
세부구분0.0000.0001.000

Missing values

2024-03-14T10:11:56.700640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:11:56.822160image/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

순번시군명기관명세부구분도로명주소지번주소전화번호자료출처공개여부작성일갱신주기
01군산시군산목양원주간보호시설주간보호시설군산시 회현면 남군산로 332-45군산시 회현면 증석리 58-8063-466-6088노인장애인복지과공개2015.11년
12군산시군산시장애인복지관주간보호시설주간보호시설군산시 칠성안3길 37군산시 산북동 3612-4063-466-7981노인장애인복지과공개2015.11년
23군산시군산예술심리치료연구소발달장애인부모심리상담서비스기관군산시 대학로 292군산시 나운동 789-25063-468-8396노인장애인복지과공개2015.11년
34군산시그린맘심리발달연구소발달장애인부모심리상담서비스기관군산시 월명로 215 (수송동, 씨티월드)군산시 수송동 820-4063-466-6454노인장애인복지과공개2015.11년
45군산시시각장애인주간보호센터주간보호시설군산시 거석길 9군산시 명산동 12-6063-445-6361노인장애인복지과공개2015.11년
56군산시희망나눔주간보호센터주간보호시설군산시 수송로 71 (금호타운1차아파트 203동 104호)군산시 나운동 92063-468-6032노인장애인복지과공개2015.11년
67김제시김제시장애인복지관주간보호시설주간보호시설김제시 갈공길 28김제시 서암동 516-1063-542-9505노인장애인복지과공개2015.11년
78남원시남원시장애인복지관주간보호시설주간보호시설남원시 이백면 닭뫼안길 87남원시 이백면 남계리 343-3063-635-1544노인장애인복지과공개2015.11년
89남원시사랑과행복이가득한우리집주간보호시설남원시 이백면 초촌길 75-9남원시 이백면 척문리 643-1063-636-6204노인장애인복지과공개2015.11년
910남원시전라북도장애인부모회남원시지회발달장애인부모심리상담서비스기관남원시 이백면 초촌길 75-13남원시 이백면 척문리 593063-636-6200노인장애인복지과공개2015.11년
순번시군명기관명세부구분도로명주소지번주소전화번호자료출처공개여부작성일갱신주기
2425전주시전북도립장애인복지관주간보호시설주간보호시설전주시 완산구 천잠로 277전주시 완산구 효자동3가 1215-21063-222-9999노인장애인복지과공개2015.11년
2526전주시전북시각장애인주간보호시설주간보호시설전주시 완산구 전주객사1길 12-1전주시 완산구 다가동3가 24-4063-282-4344노인장애인복지과공개2015.11년
2627전주시전주인성주간보호시설주간보호시설전주시 완산구 충경로 18-51전주시 완산구 중앙동1가 50-5063-228-1441노인장애인복지과공개2015.11년
2728전주시전주장애인복지관주간보호시설주간보호시설전주시 완산구 백제대로 20-41전주시 완산구 평화동1가 599-1063-229-0061노인장애인복지과공개2015.11년
2829전주시정다운주간보호시설주간보호시설전주시 덕진구 기린대로 549전주시 덕진구 덕진동2가 220-3063-274-0095노인장애인복지과공개2015.11년
2930전주시천사미소주간보호시설주간보호시설전주시 완산구 충경로 18-21전주시 완산구 중앙동1가 38-5063-237-5570노인장애인복지과공개2015.11년
3032전주시한국장애인부모회전북지회주간보호시설전주시 완산구 장승배기로 145전주시 완산구 삼천동1가 705-6063-224-0644노인장애인복지과공개2015.11년
3133정읍시사)전북장애인부모회정읍시지회발달장애인부모심리상담서비스기관정읍시 벚꽃로 542정읍시 상동 271-96063-536-3009노인장애인복지과공개2015.11년
3234정읍시정읍시장애인복지관주간보호시설주간보호시설정읍시 수성1로 58정읍시 수성동 965-1063-530-0500노인장애인복지과공개2015.11년
3335진안군진안군장애인종합복지관부설주간보호센터주간보호시설진안군 진안읍 진무로 1189-1진안군 진안읍 군상리 90-15063-432-8871노인장애인복지과공개2015.11년