Overview

Dataset statistics

Number of variables8
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory71.7 B

Variable types

Numeric2
Text4
DateTime1
Categorical1

Dataset

Description노원구 방과후 돌봄센터 현황에 대한 데이터로 시설명, 운영주체, 설립일, 정원, 주소, 전화번호, 기준일자 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15068431/fileData.do

Alerts

기준일자 has constant value ""Constant
연번 has unique valuesUnique
시설명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:45:51.679869
Analysis finished2023-12-12 17:45:52.662149
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T02:45:52.724249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2023-12-13T02:45:52.861187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

시설명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:45:53.057383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.6956522
Min length2

Characters and Unicode

Total characters108
Distinct characters59
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

Unique23 ?
Unique (%)100.0%

Sample

1st row마음터
2nd row샛별
3rd row하늘품의집
4th row태릉
5th row열림
ValueCountFrequency (%)
마음터 1
 
4.3%
구립공릉 1
 
4.3%
구립월계문화 1
 
4.3%
구립수락 1
 
4.3%
구립하계 1
 
4.3%
구립한내지혜의숲 1
 
4.3%
구립꿈나무 1
 
4.3%
구립노원1 1
 
4.3%
공립불암골 1
 
4.3%
구립공릉행복 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T02:45:53.471074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
립 15
 
13.9%
구 14
 
13.0%
계 6
 
5.6%
공 3
 
2.8%
숲 3
 
2.8%
상 3
 
2.8%
릉 3
 
2.8%
나 2
 
1.9%
속 2
 
1.9%
월 2
 
1.9%
Other values (49) 55
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
95.4%
Decimal Number 4
 
3.7%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
립 15
 
14.6%
구 14
 
13.6%
계 6
 
5.8%
공 3
 
2.9%
숲 3
 
2.9%
상 3
 
2.9%
릉 3
 
2.9%
나 2
 
1.9%
속 2
 
1.9%
월 2
 
1.9%
Other values (45) 50
48.5%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
3 1
25.0%
4 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 103
95.4%
Common 5
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
립 15
 
14.6%
구 14
 
13.6%
계 6
 
5.8%
공 3
 
2.9%
숲 3
 
2.9%
상 3
 
2.9%
릉 3
 
2.9%
나 2
 
1.9%
속 2
 
1.9%
월 2
 
1.9%
Other values (45) 50
48.5%
Common
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
4 1
20.0%
. 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
95.4%
ASCII 5
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
립 15
 
14.6%
구 14
 
13.6%
계 6
 
5.8%
공 3
 
2.9%
숲 3
 
2.9%
상 3
 
2.9%
릉 3
 
2.9%
나 2
 
1.9%
속 2
 
1.9%
월 2
 
1.9%
Other values (45) 50
48.5%
ASCII
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
4 1
20.0%
. 1
20.0%

운영주체
Text

Distinct13
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:45:53.653497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.826087
Min length2

Characters and Unicode

Total characters226
Distinct characters63
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

Unique10 ?
Unique (%)43.5%

Sample

1st row개인
2nd row서울카톨릭사회복지회
3rd row하늘품의집사회적협동조합
4th row개인
5th row사회복지법인 한기장복지재단
ValueCountFrequency (%)
노원교육복지재단 8
25.0%
사회복지법인 3
 
9.4%
개인 3
 
9.4%
사단법인 2
 
6.2%
나는청소년 2
 
6.2%
사회적협동조합 2
 
6.2%
복지세상 1
 
3.1%
대한예수교장로회 1
 
3.1%
사회복지재단 1
 
3.1%
대한불교조계종 1
 
3.1%
Other values (8) 8
25.0%
2023-12-13T02:45:53.955156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 19
 
8.4%
복 18
 
8.0%
단 14
 
6.2%
교 12
 
5.3%
재 12
 
5.3%
사 11
 
4.9%
회 11
 
4.9%
9
 
4.0%
노 8
 
3.5%
육 8
 
3.5%
Other values (53) 104
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
96.0%
Space Separator 9
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 19
 
8.8%
복 18
 
8.3%
단 14
 
6.5%
교 12
 
5.5%
재 12
 
5.5%
사 11
 
5.1%
회 11
 
5.1%
노 8
 
3.7%
육 8
 
3.7%
원 8
 
3.7%
Other values (52) 96
44.2%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
96.0%
Common 9
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 19
 
8.8%
복 18
 
8.3%
단 14
 
6.5%
교 12
 
5.5%
재 12
 
5.5%
사 11
 
5.1%
회 11
 
5.1%
노 8
 
3.7%
육 8
 
3.7%
원 8
 
3.7%
Other values (52) 96
44.2%
Common
ValueCountFrequency (%)
9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
96.0%
ASCII 9
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 19
 
8.8%
복 18
 
8.3%
단 14
 
6.5%
교 12
 
5.5%
재 12
 
5.5%
사 11
 
5.1%
회 11
 
5.1%
노 8
 
3.7%
육 8
 
3.7%
원 8
 
3.7%
Other values (52) 96
44.2%
ASCII
ValueCountFrequency (%)
9
100.0%

설립일
Date

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2006-09-25 00:00:00
Maximum2021-04-01 00:00:00
2023-12-13T02:45:54.065520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:54.171960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

정원
Real number (ℝ)

Distinct9
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.043478
Minimum19
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T02:45:54.281389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile19
Q124
median29
Q335
95-th percentile35
Maximum49
Range30
Interquartile range (IQR)11

Descriptive statistics

Standard deviation7.3761179
Coefficient of variation (CV)0.25396813
Kurtosis0.8672411
Mean29.043478
Median Absolute Deviation (MAD)6
Skewness0.5605734
Sum668
Variance54.407115
MonotonicityNot monotonic
2023-12-13T02:45:54.390343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
35 7
30.4%
29 5
21.7%
19 4
17.4%
25 2
 
8.7%
49 1
 
4.3%
23 1
 
4.3%
32 1
 
4.3%
27 1
 
4.3%
21 1
 
4.3%
ValueCountFrequency (%)
19 4
17.4%
21 1
 
4.3%
23 1
 
4.3%
25 2
 
8.7%
27 1
 
4.3%
29 5
21.7%
32 1
 
4.3%
35 7
30.4%
49 1
 
4.3%
ValueCountFrequency (%)
49 1
 
4.3%
35 7
30.4%
32 1
 
4.3%
29 5
21.7%
27 1
 
4.3%
25 2
 
8.7%
23 1
 
4.3%
21 1
 
4.3%
19 4
17.4%

주소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:45:54.634334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length31.043478
Min length23

Characters and Unicode

Total characters714
Distinct characters89
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

Unique23 ?
Unique (%)100.0%

Sample

1st row서울시 노원구 덕릉로 849, 3층(상계동, 한양탁구장 건물)
2nd row서울시 노원구 동일로237길 92, 301호(상계1동)
3rd row서울시 노원구 상계로23다길 33((상계동)
4th row서울시 노원구 동일로174길 9-4, 2층(공릉동)
5th row서울시 노원구 동일로231다길 6, (상계동, 열림교회)
ValueCountFrequency (%)
서울시 23
 
18.1%
노원구 23
 
18.1%
상계동 3
 
2.4%
주민센터 3
 
2.4%
3층(상계동 2
 
1.6%
동일로 2
 
1.6%
3층(공릉동 1
 
0.8%
월계로55길 1
 
0.8%
불암골행복발전소 1
 
0.8%
53(중계동 1
 
0.8%
Other values (67) 67
52.8%
2023-12-13T02:45:55.082896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
105
 
14.7%
동 30
 
4.2%
, 26
 
3.6%
계 25
 
3.5%
원 25
 
3.5%
2 24
 
3.4%
( 24
 
3.4%
1 24
 
3.4%
구 24
 
3.4%
노 24
 
3.4%
Other values (79) 383
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 412
57.7%
Decimal Number 121
 
16.9%
Space Separator 105
 
14.7%
Other Punctuation 27
 
3.8%
Open Punctuation 24
 
3.4%
Close Punctuation 23
 
3.2%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 30
 
7.3%
계 25
 
6.1%
원 25
 
6.1%
구 24
 
5.8%
노 24
 
5.8%
로 23
 
5.6%
울 23
 
5.6%
시 23
 
5.6%
서 23
 
5.6%
길 18
 
4.4%
Other values (63) 174
42.2%
Decimal Number
ValueCountFrequency (%)
2 24
19.8%
1 24
19.8%
3 16
13.2%
6 11
9.1%
9 10
8.3%
4 10
8.3%
7 8
 
6.6%
5 8
 
6.6%
8 6
 
5.0%
0 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
. 1
 
3.7%
Space Separator
ValueCountFrequency (%)
105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 412
57.7%
Common 302
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 30
 
7.3%
계 25
 
6.1%
원 25
 
6.1%
구 24
 
5.8%
노 24
 
5.8%
로 23
 
5.6%
울 23
 
5.6%
시 23
 
5.6%
서 23
 
5.6%
길 18
 
4.4%
Other values (63) 174
42.2%
Common
ValueCountFrequency (%)
105
34.8%
, 26
 
8.6%
2 24
 
7.9%
( 24
 
7.9%
1 24
 
7.9%
) 23
 
7.6%
3 16
 
5.3%
6 11
 
3.6%
9 10
 
3.3%
4 10
 
3.3%
Other values (6) 29
 
9.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 412
57.7%
ASCII 302
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
105
34.8%
, 26
 
8.6%
2 24
 
7.9%
( 24
 
7.9%
1 24
 
7.9%
) 23
 
7.6%
3 16
 
5.3%
6 11
 
3.6%
9 10
 
3.3%
4 10
 
3.3%
Other values (6) 29
 
9.6%
Hangul
ValueCountFrequency (%)
동 30
 
7.3%
계 25
 
6.1%
원 25
 
6.1%
구 24
 
5.8%
노 24
 
5.8%
로 23
 
5.6%
울 23
 
5.6%
시 23
 
5.6%
서 23
 
5.6%
길 18
 
4.4%
Other values (63) 174
42.2%

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T02:45:55.279516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.521739
Min length11

Characters and Unicode

Total characters265
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

Unique23 ?
Unique (%)100.0%

Sample

1st row02-932-5972
2nd row02-932-5048
3rd row02-934-0320
4th row070-8163-5591
5th row02-936-7574
ValueCountFrequency (%)
02-932-5972 1
 
4.3%
02-975-2464 1
 
4.3%
02-909-3273 1
 
4.3%
070-7716-9905 1
 
4.3%
02-973-1655 1
 
4.3%
070-4286-3687 1
 
4.3%
02-978-7555 1
 
4.3%
02-972-0704 1
 
4.3%
02-3392-5266 1
 
4.3%
02-976-3824 1
 
4.3%
Other values (13) 13
56.5%
2023-12-13T02:45:55.685539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
17.4%
0 39
14.7%
2 38
14.3%
7 29
10.9%
9 27
10.2%
3 20
7.5%
5 19
7.2%
4 16
 
6.0%
6 12
 
4.5%
1 10
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 219
82.6%
Dash Punctuation 46
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39
17.8%
2 38
17.4%
7 29
13.2%
9 27
12.3%
3 20
9.1%
5 19
8.7%
4 16
7.3%
6 12
 
5.5%
1 10
 
4.6%
8 9
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 265
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
17.4%
0 39
14.7%
2 38
14.3%
7 29
10.9%
9 27
10.2%
3 20
7.5%
5 19
7.2%
4 16
 
6.0%
6 12
 
4.5%
1 10
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 265
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
17.4%
0 39
14.7%
2 38
14.3%
7 29
10.9%
9 27
10.2%
3 20
7.5%
5 19
7.2%
4 16
 
6.0%
6 12
 
4.5%
1 10
 
3.8%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-07-25
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-25
2nd row2023-07-25
3rd row2023-07-25
4th row2023-07-25
5th row2023-07-25

Common Values

ValueCountFrequency (%)
2023-07-25 23
100.0%

Length

2023-12-13T02:45:55.813864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:45:55.911624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-25 23
100.0%

Interactions

2023-12-13T02:45:52.227666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:52.013710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:52.321499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:45:52.096741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:45:55.979624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시설명운영주체설립일정원주소전화번호
연번1.0001.0000.4110.9250.4421.0001.000
시설명1.0001.0001.0001.0001.0001.0001.000
운영주체0.4111.0001.0000.9370.0001.0001.000
설립일0.9251.0000.9371.0000.0001.0001.000
정원0.4421.0000.0000.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2023-12-13T02:45:56.088614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번정원
연번1.0000.235
정원0.2351.000

Missing values

2023-12-13T02:45:52.453360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:45:52.605676image/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

연번시설명운영주체설립일정원주소전화번호기준일자
01마음터개인2015-12-1549서울시 노원구 덕릉로 849, 3층(상계동, 한양탁구장 건물)02-932-59722023-07-25
12샛별서울카톨릭사회복지회2015-12-2919서울시 노원구 동일로237길 92, 301호(상계1동)02-932-50482023-07-25
23하늘품의집하늘품의집사회적협동조합2020-11-0129서울시 노원구 상계로23다길 33((상계동)02-934-03202023-07-25
34태릉개인2006-09-2519서울시 노원구 동일로174길 9-4, 2층(공릉동)070-8163-55912023-07-25
45열림사회복지법인 한기장복지재단2007-11-0729서울시 노원구 동일로231다길 6, (상계동, 열림교회)02-936-75742023-07-25
56금빛개인2008-06-2629서울시 노원구 상계로26길 20, 3층(상계동, 대동아파트 상가)02-939-77122023-07-25
67신나는사회복지법인 밥상공동체복지재단2011-01-1419서울시 노원구 중계로 14가길 29, 3층(중계동)02-934-49272023-07-25
78삼정학교삼정학교지역아동센터 사회적협동조합2021-01-0125서울시 노원구 동일로215길 48, 1층 (상계동, 선천교회)02-865-55702023-07-25
89구립상계1동노원교육복지재단2013-11-1825서울시 노원구 동일로 1697, 2층(상계1동 주민센터)02-2116-27342023-07-25
910구립상계3.4동사단법인 나는청소년2014-03-0135서울시 노원구 덕릉로859, 3층(상계3.4동 주민센터)02-952-57482023-07-25
연번시설명운영주체설립일정원주소전화번호기준일자
1314구립초안산숲속노원교육복지재단2014-11-0319서울시 노원구 덕릉로60길 199(월계동)02-905-39002023-07-25
1415구립공릉행복노원교육복지재단2016-04-0135서울시 노원구 동일로179길 22, 3층(공릉동, 행복발전소)02-976-38242023-07-25
1516공립불암골노원교육복지재단2016-05-0135서울시 노원구 중계로14길 53(중계동, 불암골행복발전소)02-3392-52662023-07-25
1617구립노원1청운보은동산2016-10-0135서울시 노원구 월계로55길 16, 1층(월계동, 사슴2단지 관리동)02-972-07042023-07-25
1718구립꿈나무노원교육복지재단2017-01-0132서울시 노원구 동일로186길 3-24(공릉1동 주민센터)02-978-75552023-07-25
1819구립한내지혜의숲노원교육복지재단2017-03-2327서울시 노원구 마들로 86(월계동, 한내지혜의숲)070-4286-36872023-07-25
1920구립하계사회복지법인 대한불교조계종 사회복지재단2017-10-1035서울시 노원구 노원로16길 15, 3층(하계종합사회복지관)02-973-16552023-07-25
2021구립수락노원교육복지재단2018-05-1721서울시 노원구 동일로242길 77, 2층(수락행복발전소)070-7716-99052023-07-25
2122구립월계문화대한예수교장로회 한국장로교복지재단2018-06-0135서울시 노원구 월계로42길 9, 2층(월계문화복지센터)02-909-32732023-07-25
2223구립노원청소년사단법인 나는청소년2021-04-0129서울시 노원구 덕릉로86길 5, 2층(중계동)02-938-79712023-07-25