Overview

Dataset statistics

Number of variables7
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory59.4 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description인천광역시 장애인 활동지원 기관 현황(사업 기관명, 대표자, 전화번호, 기관번호, 분야) 등의 항목 정보를 제공하는 데이터로 구성됩니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15091430&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 군구High correlation
군구 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
사업기관명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:20:19.554512
Analysis finished2024-01-28 11:20:20.070355
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-01-28T20:20:20.125653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2024-01-28T20:20:20.229753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

군구
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
서구
10 
남동구
9 
부평구
8 
계양구
8 
미추홀
6 
Other values (4)
13 

Length

Max length3
Median length3
Mean length2.6851852
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중구
2nd row중구
3rd row중구
4th row동구
5th row미추홀

Common Values

ValueCountFrequency (%)
서구 10
18.5%
남동구 9
16.7%
부평구 8
14.8%
계양구 8
14.8%
미추홀 6
11.1%
중구 4
 
7.4%
연수구 4
 
7.4%
동구 3
 
5.6%
강화군 2
 
3.7%

Length

2024-01-28T20:20:20.330408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:20:20.414501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 10
18.5%
남동구 9
16.7%
부평구 8
14.8%
계양구 8
14.8%
미추홀 6
11.1%
중구 4
 
7.4%
연수구 4
 
7.4%
동구 3
 
5.6%
강화군 2
 
3.7%

사업기관명
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-01-28T20:20:20.586170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length17
Mean length11.574074
Min length5

Characters and Unicode

Total characters625
Distinct characters132
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row인천중구장애인종합복지관
2nd row하이원복지센터
3rd row(사)꿈꾸는 마을
4th row동구지역자활센터
5th row사)인천뇌병변장애인인권협회
ValueCountFrequency (%)
사)경인복지회 2
 
3.0%
서구지회 2
 
3.0%
사)인천광역시시각장애인복지연합회 1
 
1.5%
큰솔장애인자립생활센터 1
 
1.5%
복지콜주야간보호센터 1
 
1.5%
인천장애인능력개발문화센터 1
 
1.5%
사)사랑나누미복지회 1
 
1.5%
인천지체장애인협회 1
 
1.5%
인천강화지역자활센터 1
 
1.5%
행복나눔재가센터 1
 
1.5%
Other values (54) 54
81.8%
2024-01-28T20:20:20.865781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 50
 
8.0%
지 38
 
6.1%
센 31
 
5.0%
터 31
 
5.0%
복 27
 
4.3%
사 23
 
3.7%
천 21
 
3.4%
회 21
 
3.4%
장 19
 
3.0%
애 19
 
3.0%
Other values (122) 345
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
95.0%
Space Separator 13
 
2.1%
Close Punctuation 12
 
1.9%
Open Punctuation 4
 
0.6%
Other Symbol 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 50
 
8.4%
지 38
 
6.4%
센 31
 
5.2%
터 31
 
5.2%
복 27
 
4.5%
사 23
 
3.9%
천 21
 
3.5%
회 21
 
3.5%
장 19
 
3.2%
애 19
 
3.2%
Other values (118) 314
52.9%
Space Separator
ValueCountFrequency (%)
13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
95.4%
Common 29
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 50
 
8.4%
지 38
 
6.4%
센 31
 
5.2%
터 31
 
5.2%
복 27
 
4.5%
사 23
 
3.9%
천 21
 
3.5%
회 21
 
3.5%
장 19
 
3.2%
애 19
 
3.2%
Other values (119) 316
53.0%
Common
ValueCountFrequency (%)
13
44.8%
) 12
41.4%
( 4
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
95.0%
ASCII 29
 
4.6%
None 2
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 50
 
8.4%
지 38
 
6.4%
센 31
 
5.2%
터 31
 
5.2%
복 27
 
4.5%
사 23
 
3.9%
천 21
 
3.5%
회 21
 
3.5%
장 19
 
3.2%
애 19
 
3.2%
Other values (118) 314
52.9%
ASCII
ValueCountFrequency (%)
13
44.8%
) 12
41.4%
( 4
 
13.8%
None
ValueCountFrequency (%)
㈜ 2
100.0%

대표자
Text

Distinct49
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-01-28T20:20:21.060159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters162
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)81.5%

Sample

1st row최상희
2nd row김동필
3rd row신영미
4th row황의정
5th row신영로
ValueCountFrequency (%)
조옥화 2
 
3.7%
윤선미 2
 
3.7%
문종권 2
 
3.7%
이경임 2
 
3.7%
이규일 2
 
3.7%
최상희 1
 
1.9%
김한수 1
 
1.9%
이순원 1
 
1.9%
남정태 1
 
1.9%
김선미 1
 
1.9%
Other values (39) 39
72.2%
2024-01-28T20:20:21.343971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
6.2%
김 8
 
4.9%
조 6
 
3.7%
박 5
 
3.1%
성 5
 
3.1%
정 5
 
3.1%
영 5
 
3.1%
숙 5
 
3.1%
최 4
 
2.5%
윤 4
 
2.5%
Other values (62) 105
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 162
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
6.2%
김 8
 
4.9%
조 6
 
3.7%
박 5
 
3.1%
성 5
 
3.1%
정 5
 
3.1%
영 5
 
3.1%
숙 5
 
3.1%
최 4
 
2.5%
윤 4
 
2.5%
Other values (62) 105
64.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
6.2%
김 8
 
4.9%
조 6
 
3.7%
박 5
 
3.1%
성 5
 
3.1%
정 5
 
3.1%
영 5
 
3.1%
숙 5
 
3.1%
최 4
 
2.5%
윤 4
 
2.5%
Other values (62) 105
64.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 162
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 10
 
6.2%
김 8
 
4.9%
조 6
 
3.7%
박 5
 
3.1%
성 5
 
3.1%
정 5
 
3.1%
영 5
 
3.1%
숙 5
 
3.1%
최 4
 
2.5%
윤 4
 
2.5%
Other values (62) 105
64.8%

전화번호
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-01-28T20:20:21.530798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018519
Min length12

Characters and Unicode

Total characters649
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

Unique52 ?
Unique (%)96.3%

Sample

1st row032-880-2479
2nd row032-868-0330
3rd row032-751-1823
4th row032-761-0766
5th row032-886-4880
ValueCountFrequency (%)
032-577-6623 2
 
3.7%
032-880-2479 1
 
1.9%
032-569-1247 1
 
1.9%
032-563-8664 1
 
1.9%
032-569-5031 1
 
1.9%
032-564-1015 1
 
1.9%
032-565-3129 1
 
1.9%
032-567-5155 1
 
1.9%
032-875-3323 1
 
1.9%
032-933-1180 1
 
1.9%
Other values (43) 43
79.6%
2024-01-28T20:20:21.817484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 108
16.6%
0 100
15.4%
3 98
15.1%
2 90
13.9%
5 54
8.3%
8 48
7.4%
6 37
 
5.7%
1 34
 
5.2%
4 31
 
4.8%
7 29
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 541
83.4%
Dash Punctuation 108
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 100
18.5%
3 98
18.1%
2 90
16.6%
5 54
10.0%
8 48
8.9%
6 37
 
6.8%
1 34
 
6.3%
4 31
 
5.7%
7 29
 
5.4%
9 20
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 108
16.6%
0 100
15.4%
3 98
15.1%
2 90
13.9%
5 54
8.3%
8 48
7.4%
6 37
 
5.7%
1 34
 
5.2%
4 31
 
4.8%
7 29
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 108
16.6%
0 100
15.4%
3 98
15.1%
2 90
13.9%
5 54
8.3%
8 48
7.4%
6 37
 
5.7%
1 34
 
5.2%
4 31
 
4.8%
7 29
 
4.5%

기관주소
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-01-28T20:20:22.089489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length30.037037
Min length17

Characters and Unicode

Total characters1622
Distinct characters169
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row인천광역시 중구 매소홀로 10(신흥동3가)
2nd row인천광역시 중구 참외전로 88-34(전동)
3rd row인천광역시 중구 흰바위로34- 영종에어포트304호(운서동)
4th row인천광역시 동구 동산로 41번길 22(송림동)
5th row인천광역시 미추홀구 염창로 46, 602호(주안동,강남스토아)
ValueCountFrequency (%)
인천광역시 54
 
18.6%
서구 10
 
3.4%
남동구 10
 
3.4%
계양구 8
 
2.7%
부평구 7
 
2.4%
미추홀구 6
 
2.1%
중구 4
 
1.4%
동구 3
 
1.0%
연수구 3
 
1.0%
경인로 2
 
0.7%
Other values (171) 184
63.2%
2024-01-28T20:20:22.478714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
241
 
14.9%
인 60
 
3.7%
동 58
 
3.6%
천 58
 
3.6%
시 57
 
3.5%
구 56
 
3.5%
로 54
 
3.3%
광 54
 
3.3%
역 54
 
3.3%
1 53
 
3.3%
Other values (159) 877
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 954
58.8%
Decimal Number 286
 
17.6%
Space Separator 241
 
14.9%
Other Punctuation 44
 
2.7%
Close Punctuation 40
 
2.5%
Open Punctuation 40
 
2.5%
Dash Punctuation 14
 
0.9%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 60
 
6.3%
동 58
 
6.1%
천 58
 
6.1%
시 57
 
6.0%
구 56
 
5.9%
로 54
 
5.7%
광 54
 
5.7%
역 54
 
5.7%
호 29
 
3.0%
길 20
 
2.1%
Other values (141) 454
47.6%
Decimal Number
ValueCountFrequency (%)
1 53
18.5%
2 45
15.7%
0 42
14.7%
4 35
12.2%
3 32
11.2%
6 21
 
7.3%
7 20
 
7.0%
5 17
 
5.9%
8 13
 
4.5%
9 8
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 43
97.7%
/ 1
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
241
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 954
58.8%
Common 665
41.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 60
 
6.3%
동 58
 
6.1%
천 58
 
6.1%
시 57
 
6.0%
구 56
 
5.9%
로 54
 
5.7%
광 54
 
5.7%
역 54
 
5.7%
호 29
 
3.0%
길 20
 
2.1%
Other values (141) 454
47.6%
Common
ValueCountFrequency (%)
241
36.2%
1 53
 
8.0%
2 45
 
6.8%
, 43
 
6.5%
0 42
 
6.3%
) 40
 
6.0%
( 40
 
6.0%
4 35
 
5.3%
3 32
 
4.8%
6 21
 
3.2%
Other values (6) 73
 
11.0%
Latin
ValueCountFrequency (%)
A 2
66.7%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 954
58.8%
ASCII 668
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
241
36.1%
1 53
 
7.9%
2 45
 
6.7%
, 43
 
6.4%
0 42
 
6.3%
) 40
 
6.0%
( 40
 
6.0%
4 35
 
5.2%
3 32
 
4.8%
6 21
 
3.1%
Other values (8) 76
 
11.4%
Hangul
ValueCountFrequency (%)
인 60
 
6.3%
동 58
 
6.1%
천 58
 
6.1%
시 57
 
6.0%
구 56
 
5.9%
로 54
 
5.7%
광 54
 
5.7%
역 54
 
5.7%
호 29
 
3.0%
길 20
 
2.1%
Other values (141) 454
47.6%

분야
Categorical

Distinct8
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size564.0 B
활동보조
38 
방문목욕
7 
활동보조방문목욕
 
3
활동보조(2020-06-15)
 
2
활동보조(2019-07-25)
 
1
Other values (3)
 
3

Length

Max length16
Median length4
Mean length5.1296296
Min length4

Unique

Unique4 ?
Unique (%)7.4%

Sample

1st row활동보조
2nd row활동보조방문목욕
3rd row활동보조
4th row활동보조
5th row활동보조

Common Values

ValueCountFrequency (%)
활동보조 38
70.4%
방문목욕 7
 
13.0%
활동보조방문목욕 3
 
5.6%
활동보조(2020-06-15) 2
 
3.7%
활동보조(2019-07-25) 1
 
1.9%
방문간호 1
 
1.9%
방문목욕방문간호 1
 
1.9%
활동보조방문목욕,방문간호 1
 
1.9%

Length

2024-01-28T20:20:22.587728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:20:22.682048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
활동보조 38
70.4%
방문목욕 7
 
13.0%
활동보조방문목욕 3
 
5.6%
활동보조(2020-06-15 2
 
3.7%
활동보조(2019-07-25 1
 
1.9%
방문간호 1
 
1.9%
방문목욕방문간호 1
 
1.9%
활동보조방문목욕,방문간호 1
 
1.9%

Interactions

2024-01-28T20:20:19.865984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:20:22.746941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구사업기관명대표자전화번호기관주소분야
연번1.0000.8481.0000.6150.9350.9350.633
군구0.8481.0001.0000.9591.0001.0000.000
사업기관명1.0001.0001.0001.0001.0001.0001.000
대표자0.6150.9591.0001.0001.0001.0000.000
전화번호0.9351.0001.0001.0001.0001.0000.000
기관주소0.9351.0001.0001.0001.0001.0000.000
분야0.6330.0001.0000.0000.0000.0001.000
2024-01-28T20:20:22.823565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분야군구
분야1.0000.000
군구0.0001.000
2024-01-28T20:20:22.881825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번군구분야
연번1.0000.5920.354
군구0.5921.0000.000
분야0.3540.0001.000

Missing values

2024-01-28T20:20:19.947984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:20:20.036639image/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

연번군구사업기관명대표자전화번호기관주소분야
01중구인천중구장애인종합복지관최상희032-880-2479인천광역시 중구 매소홀로 10(신흥동3가)활동보조
12중구하이원복지센터김동필032-868-0330인천광역시 중구 참외전로 88-34(전동)활동보조방문목욕
23중구(사)꿈꾸는 마을신영미032-751-1823인천광역시 중구 흰바위로34- 영종에어포트304호(운서동)활동보조
34동구동구지역자활센터황의정032-761-0766인천광역시 동구 동산로 41번길 22(송림동)활동보조
45미추홀사)인천뇌병변장애인인권협회신영로032-886-4880인천광역시 미추홀구 염창로 46, 602호(주안동,강남스토아)활동보조
56미추홀꿈애장애인자립생활센터이규일032-872-5033인천광역시 미추홀구 경인로119, 다복빌딩12층활동보조
67미추홀인천미추홀구장애인종합복지관조흥식032-426-1382인천광역시 미추홀구 경원대로 714 (관교동)활동보조
78미추홀(사)인천밀알박찬우032-888-5853인천광역시 미추홀구 석정로 202번길 11-20활동보조
89연수구모심과돌봄이충하032-205-3278인천광역시 연수구 청명로 34, 3호활동보조
910연수구사)인천뇌병변복지협회서연희032-813-0068인천광역시 연수구 용담로 111, 309호(연수동, 아시스타워)활동보조
연번군구사업기관명대표자전화번호기관주소분야
4445서구이음재가복지센터윤선미032-577-6623인천광역시 서구 건지로264- 인하메디컬 307호방문목욕
4546부평구인천평화의료복지사회적협동조합 노인복지센터조옥화032-503-6912인천광역시 부평구 경인로 1104번길 10(부개동)방문간호
4647동구밝은미소 장애인자립생활센터박영숙032-766-3311인천광역시 동구 송현로 1, 2층 201호(송현동, 송현프라자)활동보조
4748동구㈜ 솔솦노인복지센터황성철032-777-8868인천광역시 동구 송림로 24, 803호(금곡동)방문목욕방문간호
4849부평구도우누리정다운사회적협동조합최윤경070-5038-4003인천광역시 부평구 평천로290,302호 갈산동 원츠프라자활동보조
4950부평구울림장애인자립생활센터배은진032-514-1450인천광역시 부평구 부평대로 167번길 42,202호동아타운활동보조
5051부평구사회서비스원 인복드림재가센터(부평)유해숙032-721-7193인천광역시 부평구마장로 410번길 6, 3층(청천동)활동보조방문목욕,방문간호
5152남동구대한안마사협회 인천지부김용기032-432-8033인천광역시 남동구 용천로 97번길 3, 우정프라자 3층활동보조
5253남동구함께동행사회적협동조합성옥기032-710-6802인천광역시 남동구 논고개로 114, 에이스타워801활동보조
5354중구어울림세상 사회적협동조합정유흔032-832-8456인천광역시 중구 햇내로안길 22-4(운서동)활동보조