Overview

Dataset statistics

Number of variables7
Number of observations182
Missing cells4
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.3 KiB
Average record size in memory57.7 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description창의체험자원에 대한 정보입니다.
Author한국과학창의재단
URLhttps://www.data.go.kr/data/15062431/fileData.do

Alerts

번호 is highly overall correlated with 지역High correlation
지역 is highly overall correlated with 번호High correlation
연락처 has 4 (2.2%) missing valuesMissing
번호 has unique valuesUnique
시설명 has unique valuesUnique
등록일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:27:11.287886
Analysis finished2023-12-12 00:27:12.000933
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5
Minimum1
Maximum182
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T09:27:12.072365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.05
Q146.25
median91.5
Q3136.75
95-th percentile172.95
Maximum182
Range181
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation52.683014
Coefficient of variation (CV)0.57577065
Kurtosis-1.2
Mean91.5
Median Absolute Deviation (MAD)45.5
Skewness0
Sum16653
Variance2775.5
MonotonicityStrictly increasing
2023-12-12T09:27:12.238861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
116 1
 
0.5%
118 1
 
0.5%
119 1
 
0.5%
120 1
 
0.5%
121 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
Other values (172) 172
94.5%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
182 1
0.5%
181 1
0.5%
180 1
0.5%
179 1
0.5%
178 1
0.5%
177 1
0.5%
176 1
0.5%
175 1
0.5%
174 1
0.5%
173 1
0.5%

지역
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
서울특별시
35 
경기도
19 
전라북도
14 
부산광역시
11 
대구광역시
10 
Other values (16)
93 

Length

Max length7
Median length5
Mean length4.3571429
Min length2

Unique

Unique3 ?
Unique (%)1.6%

Sample

1st row강릉
2nd row강원도
3rd row강원도
4th row강원도
5th row강원도

Common Values

ValueCountFrequency (%)
서울특별시 35
19.2%
경기도 19
 
10.4%
전라북도 14
 
7.7%
부산광역시 11
 
6.0%
대구광역시 10
 
5.5%
충청북도 10
 
5.5%
충청남도 9
 
4.9%
인천광역시 8
 
4.4%
전라남도 8
 
4.4%
경상북도 8
 
4.4%
Other values (11) 50
27.5%

Length

2023-12-12T09:27:12.407173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 35
19.2%
경기도 19
 
10.4%
전라북도 14
 
7.7%
부산광역시 11
 
6.0%
대구광역시 10
 
5.5%
충청북도 10
 
5.5%
충청남도 9
 
4.9%
경상북도 8
 
4.4%
대전광역시 8
 
4.4%
전라남도 8
 
4.4%
Other values (11) 50
27.5%

분류
Categorical

Distinct20
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
안전/의료/복지시설
78 
관공서,체험시설
36 
체험시설
27 
관공서,안전/의료/복지시설,체험시설
 
6
관공서
 
5
Other values (15)
30 

Length

Max length19
Median length17
Mean length9.0549451
Min length2

Unique

Unique7 ?
Unique (%)3.8%

Sample

1st row안전/의료/복지시설
2nd row관공서,체험시설
3rd row안전/의료/복지시설
4th row연구시설,전시/공연시설,체험시설
5th row안전/의료/복지시설

Common Values

ValueCountFrequency (%)
안전/의료/복지시설 78
42.9%
관공서,체험시설 36
19.8%
체험시설 27
 
14.8%
관공서,안전/의료/복지시설,체험시설 6
 
3.3%
관공서 5
 
2.7%
연구시설,체험시설 5
 
2.7%
문화재/역사,전시/공연시설 4
 
2.2%
관공서,안전/의료/복지시설 3
 
1.6%
전시/공연시설,체험시설 3
 
1.6%
자연,체험시설 2
 
1.1%
Other values (10) 13
 
7.1%

Length

2023-12-12T09:27:12.539981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안전/의료/복지시설 78
42.9%
관공서,체험시설 36
19.8%
체험시설 27
 
14.8%
관공서,안전/의료/복지시설,체험시설 6
 
3.3%
관공서 5
 
2.7%
연구시설,체험시설 5
 
2.7%
문화재/역사,전시/공연시설 4
 
2.2%
관공서,안전/의료/복지시설 3
 
1.6%
전시/공연시설,체험시설 3
 
1.6%
연구시설 2
 
1.1%
Other values (10) 13
 
7.1%

시설명
Text

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:27:12.818690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length33
Mean length14.208791
Min length4

Characters and Unicode

Total characters2586
Distinct characters321
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

Unique182 ?
Unique (%)100.0%

Sample

1st row강릉시장애인종합복지관
2nd row강원도평생교육진흥원 (강원도평생교육정보망) 이룸 e-room
3rd row인제군사회복지관
4th row홍천생명건강과학관
5th row속초종합사회복지관
ValueCountFrequency (%)
평생학습관 2
 
0.6%
한국보육진흥원 2
 
0.6%
사 2
 
0.6%
부설 2
 
0.6%
서울 2
 
0.6%
전북 2
 
0.6%
kcpi 2
 
0.6%
성프란치스꼬장애인종합복지관 1
 
0.3%
서울특별시립노원시각장애인복지관 1
 
0.3%
풍납종합사회복지관 1
 
0.3%
Other values (302) 302
94.7%
2023-12-12T09:27:13.188072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
137
 
5.3%
관 97
 
3.8%
지 90
 
3.5%
복 80
 
3.1%
원 61
 
2.4%
인 60
 
2.3%
종 59
 
2.3%
합 58
 
2.2%
교 51
 
2.0%
육 49
 
1.9%
Other values (311) 1844
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2093
80.9%
Lowercase Letter 144
 
5.6%
Space Separator 137
 
5.3%
Uppercase Letter 103
 
4.0%
Open Punctuation 45
 
1.7%
Close Punctuation 45
 
1.7%
Other Punctuation 12
 
0.5%
Dash Punctuation 5
 
0.2%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 97
 
4.6%
지 90
 
4.3%
복 80
 
3.8%
원 61
 
2.9%
인 60
 
2.9%
종 59
 
2.8%
합 58
 
2.8%
교 51
 
2.4%
육 49
 
2.3%
사 47
 
2.2%
Other values (261) 1441
68.8%
Lowercase Letter
ValueCountFrequency (%)
e 22
15.3%
a 17
11.8%
o 13
9.0%
n 13
9.0%
r 12
8.3%
i 12
8.3%
c 8
 
5.6%
u 7
 
4.9%
d 7
 
4.9%
l 7
 
4.9%
Other values (11) 26
18.1%
Uppercase Letter
ValueCountFrequency (%)
K 13
12.6%
C 12
11.7%
E 10
9.7%
O 10
9.7%
S 7
 
6.8%
I 6
 
5.8%
L 6
 
5.8%
T 5
 
4.9%
A 5
 
4.9%
W 5
 
4.9%
Other values (11) 24
23.3%
Other Punctuation
ValueCountFrequency (%)
' 8
66.7%
/ 4
33.3%
Decimal Number
ValueCountFrequency (%)
7 1
50.0%
4 1
50.0%
Space Separator
ValueCountFrequency (%)
137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 45
100.0%
Close Punctuation
ValueCountFrequency (%)
) 45
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2093
80.9%
Latin 247
 
9.6%
Common 246
 
9.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 97
 
4.6%
지 90
 
4.3%
복 80
 
3.8%
원 61
 
2.9%
인 60
 
2.9%
종 59
 
2.8%
합 58
 
2.8%
교 51
 
2.4%
육 49
 
2.3%
사 47
 
2.2%
Other values (261) 1441
68.8%
Latin
ValueCountFrequency (%)
e 22
 
8.9%
a 17
 
6.9%
K 13
 
5.3%
o 13
 
5.3%
n 13
 
5.3%
C 12
 
4.9%
r 12
 
4.9%
i 12
 
4.9%
E 10
 
4.0%
O 10
 
4.0%
Other values (32) 113
45.7%
Common
ValueCountFrequency (%)
137
55.7%
( 45
 
18.3%
) 45
 
18.3%
' 8
 
3.3%
- 5
 
2.0%
/ 4
 
1.6%
7 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2093
80.9%
ASCII 493
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
137
27.8%
( 45
 
9.1%
) 45
 
9.1%
e 22
 
4.5%
a 17
 
3.4%
K 13
 
2.6%
o 13
 
2.6%
n 13
 
2.6%
C 12
 
2.4%
r 12
 
2.4%
Other values (40) 164
33.3%
Hangul
ValueCountFrequency (%)
관 97
 
4.6%
지 90
 
4.3%
복 80
 
3.8%
원 61
 
2.9%
인 60
 
2.9%
종 59
 
2.8%
합 58
 
2.8%
교 51
 
2.4%
육 49
 
2.3%
사 47
 
2.2%
Other values (261) 1441
68.8%

주소
Text

Distinct178
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T09:27:13.504285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length132
Median length36
Mean length22.989011
Min length3

Characters and Unicode

Total characters4184
Distinct characters299
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique174 ?
Unique (%)95.6%

Sample

1st row강원도 강릉시 사천면 방동길 68
2nd row강원 춘천시 서면 박사로 882 강원창작개발센터 2층
3rd row강원도 인제군 인제읍 비봉로44번길 100, 하늘내린센터 2층
4th row강원도 홍천군 홍천읍 생명과학관길 78
5th row강원도 속초시 먹거리길 19(주공3차 APT 단지 내)
ValueCountFrequency (%)
서울특별시 33
 
3.5%
경기도 18
 
1.9%
전라북도 11
 
1.2%
중구 10
 
1.1%
대구광역시 10
 
1.1%
부산광역시 10
 
1.1%
동구 9
 
1.0%
남구 9
 
1.0%
청주시 8
 
0.9%
광주광역시 7
 
0.8%
Other values (600) 808
86.6%
2023-12-12T09:27:13.970725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
751
 
17.9%
시 164
 
3.9%
로 158
 
3.8%
구 140
 
3.3%
1 133
 
3.2%
2 97
 
2.3%
도 79
 
1.9%
5 78
 
1.9%
3 76
 
1.8%
4 67
 
1.6%
Other values (289) 2441
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2485
59.4%
Space Separator 751
 
17.9%
Decimal Number 660
 
15.8%
Lowercase Letter 151
 
3.6%
Uppercase Letter 43
 
1.0%
Dash Punctuation 33
 
0.8%
Other Punctuation 33
 
0.8%
Close Punctuation 13
 
0.3%
Open Punctuation 13
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 164
 
6.6%
로 158
 
6.4%
구 140
 
5.6%
도 79
 
3.2%
광 59
 
2.4%
대 56
 
2.3%
서 54
 
2.2%
길 53
 
2.1%
남 52
 
2.1%
주 50
 
2.0%
Other values (234) 1620
65.2%
Lowercase Letter
ValueCountFrequency (%)
e 23
15.2%
a 21
13.9%
i 18
11.9%
d 11
7.3%
r 11
7.3%
l 10
 
6.6%
o 9
 
6.0%
n 8
 
5.3%
z 7
 
4.6%
u 7
 
4.6%
Other values (10) 26
17.2%
Uppercase Letter
ValueCountFrequency (%)
L 6
14.0%
P 5
11.6%
V 4
9.3%
C 4
9.3%
A 4
9.3%
F 3
 
7.0%
I 2
 
4.7%
R 2
 
4.7%
Y 2
 
4.7%
S 2
 
4.7%
Other values (7) 9
20.9%
Decimal Number
ValueCountFrequency (%)
1 133
20.2%
2 97
14.7%
5 78
11.8%
3 76
11.5%
4 67
10.2%
0 55
8.3%
7 50
 
7.6%
6 42
 
6.4%
8 36
 
5.5%
9 26
 
3.9%
Other Punctuation
ValueCountFrequency (%)
, 32
97.0%
' 1
 
3.0%
Space Separator
ValueCountFrequency (%)
751
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2485
59.4%
Common 1504
35.9%
Latin 195
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 164
 
6.6%
로 158
 
6.4%
구 140
 
5.6%
도 79
 
3.2%
광 59
 
2.4%
대 56
 
2.3%
서 54
 
2.2%
길 53
 
2.1%
남 52
 
2.1%
주 50
 
2.0%
Other values (234) 1620
65.2%
Latin
ValueCountFrequency (%)
e 23
 
11.8%
a 21
 
10.8%
i 18
 
9.2%
d 11
 
5.6%
r 11
 
5.6%
l 10
 
5.1%
o 9
 
4.6%
n 8
 
4.1%
z 7
 
3.6%
u 7
 
3.6%
Other values (28) 70
35.9%
Common
ValueCountFrequency (%)
751
49.9%
1 133
 
8.8%
2 97
 
6.4%
5 78
 
5.2%
3 76
 
5.1%
4 67
 
4.5%
0 55
 
3.7%
7 50
 
3.3%
6 42
 
2.8%
8 36
 
2.4%
Other values (7) 119
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2485
59.4%
ASCII 1698
40.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
751
44.2%
1 133
 
7.8%
2 97
 
5.7%
5 78
 
4.6%
3 76
 
4.5%
4 67
 
3.9%
0 55
 
3.2%
7 50
 
2.9%
6 42
 
2.5%
8 36
 
2.1%
Other values (44) 313
18.4%
Hangul
ValueCountFrequency (%)
시 164
 
6.6%
로 158
 
6.4%
구 140
 
5.6%
도 79
 
3.2%
광 59
 
2.4%
대 56
 
2.3%
서 54
 
2.2%
길 53
 
2.1%
남 52
 
2.1%
주 50
 
2.0%
Other values (234) 1620
65.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

연락처
Text

MISSING 

Distinct176
Distinct (%)98.9%
Missing4
Missing (%)2.2%
Memory size1.6 KiB
2023-12-12T09:27:14.217386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.713483
Min length9

Characters and Unicode

Total characters2085
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

Unique174 ?
Unique (%)97.8%

Sample

1st row033-643-1801
2nd row033-250-2955
3rd row033-461-0660
4th row033-430-2836
5th row033-631-8761
ValueCountFrequency (%)
02-6901-0100 2
 
1.1%
02-580-3300 2
 
1.1%
032-204-9953 1
 
0.6%
032-722-7212 1
 
0.6%
044-868-3956 1
 
0.6%
044-865-3325 1
 
0.6%
052-257-7000 1
 
0.6%
052-266-7600 1
 
0.6%
052-229-6638 1
 
0.6%
052-710-5991 1
 
0.6%
Other values (166) 166
93.3%
2023-12-12T09:27:14.587969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 401
19.2%
- 344
16.5%
3 209
10.0%
2 186
8.9%
5 181
8.7%
1 167
8.0%
6 155
 
7.4%
4 140
 
6.7%
8 104
 
5.0%
9 102
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1741
83.5%
Dash Punctuation 344
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 401
23.0%
3 209
12.0%
2 186
10.7%
5 181
10.4%
1 167
9.6%
6 155
 
8.9%
4 140
 
8.0%
8 104
 
6.0%
9 102
 
5.9%
7 96
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 344
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2085
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 401
19.2%
- 344
16.5%
3 209
10.0%
2 186
8.9%
5 181
8.7%
1 167
8.0%
6 155
 
7.4%
4 140
 
6.7%
8 104
 
5.0%
9 102
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2085
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 401
19.2%
- 344
16.5%
3 209
10.0%
2 186
8.9%
5 181
8.7%
1 167
8.0%
6 155
 
7.4%
4 140
 
6.7%
8 104
 
5.0%
9 102
 
4.9%

등록일
Date

UNIQUE 

Distinct182
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2020-01-02 11:01:00
Maximum2020-07-28 14:38:00
2023-12-12T09:27:14.714985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:27:14.843511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T09:27:11.715640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:27:14.927509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역분류
번호1.0000.9670.420
지역0.9671.0000.528
분류0.4200.5281.000
2023-12-12T09:27:15.011418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류지역
분류1.0000.173
지역0.1731.000
2023-12-12T09:27:15.088111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호지역분류
번호1.0000.7960.139
지역0.7961.0000.173
분류0.1390.1731.000

Missing values

2023-12-12T09:27:11.845144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:27:11.958056image/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

번호지역분류시설명주소연락처등록일
01강릉안전/의료/복지시설강릉시장애인종합복지관강원도 강릉시 사천면 방동길 68033-643-18012020-03-05 15:05
12강원도관공서,체험시설강원도평생교육진흥원 (강원도평생교육정보망) 이룸 e-room강원 춘천시 서면 박사로 882 강원창작개발센터 2층033-250-29552020-06-29 15:14
23강원도안전/의료/복지시설인제군사회복지관강원도 인제군 인제읍 비봉로44번길 100, 하늘내린센터 2층033-461-06602020-03-31 16:12
34강원도연구시설,전시/공연시설,체험시설홍천생명건강과학관강원도 홍천군 홍천읍 생명과학관길 78033-430-28362020-03-20 11:14
45강원도안전/의료/복지시설속초종합사회복지관강원도 속초시 먹거리길 19(주공3차 APT 단지 내)033-631-87612020-03-18 11:04
56강원도안전/의료/복지시설강원도장애인종합복지관강원도 춘천시 사우로 27033-255-24912020-03-03 11:25
67강원도관공서,안전/의료/복지시설원주시립태장도서관강원도 원주시 현충로 53033-737-44852020-01-20 12:32
78경기도문화재/역사,전시/공연시설,체험시설여주박물관경기 여주시 신륵사길 6-12031-887-35832020-07-28 14:38
89경기도체험시설양평숲속의미술공원경기도 양평군 양동면 단석리 402031-775-69452020-07-28 10:54
910경기도관공서경기도교육청 경기도진로진학지원센터경기도 수원시 장안구 수성로 421031-8012-09912020-07-16 11:29
번호지역분류시설명주소연락처등록일
172173충청북도체험시설충북여성인력개발센터충청북도 청주시 상당구 영운로 160-1 경동빌딩 2~3층043-258-06242020-07-08 12:17
173174충청북도연구시설,체험시설한국보건복지인력개발원 (보다나은 KOHI)충청북도 청주시 흥덕구 오송읍 오송생명2로 1871600-88102020-07-07 15:57
174175충청북도체험시설충청북도평생교육진흥원충청북도 청주시 상당구 대성로 102-1 충북연구원 3층 320호043-220-11562020-06-29 16:40
175176충청북도안전/의료/복지시설오송종합사회복지관충북 청주시 흥덕구 오송읍 오송생명1로 180043-224-54792020-03-25 10:56
176177충청북도안전/의료/복지시설괴산군장애인복지관충청북도 괴산군 괴산읍 동진천길 61043-832-08622020-03-05 14:08
177178충청북도안전/의료/복지시설서부종합사회복지관 (충북)충북 청주시 흥덕구 가로수로1370번길 16043-236-36002020-02-03 10:55
178179충청북도안전/의료/복지시설청주시장애인종합복지관충청북도 청주시 흥덕구 무심서로 851043-275-74112020-01-21 11:46
179180충청북도안전/의료/복지시설단양장애인복지관충북 단양군 단양읍 별곡 5길5043-423-23232020-01-20 18:42
180181충청북도안전/의료/복지시설용암종합사회복지관충청북도 청주시 상당구 원봉로 52043-293-91912020-01-06 18:00
181182충청북도안전/의료/복지시설청주사회복지관충북 청주시 상당구 영운천로13-1043-253-44932020-01-02 12:11