Overview

Dataset statistics

Number of variables6
Number of observations48
Missing cells21
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory51.8 B

Variable types

Numeric1
Text5

Dataset

Description인천광역시 무료 직업소개소의 사업장 현황에 대한 데이터로 연번, 기관명, 대표자명, 전화번호, 팩스, 소재지 등을 알 수 있습니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15054559/fileData.do

Alerts

전화번호 has 7 (14.6%) missing valuesMissing
팩스번호 has 13 (27.1%) missing valuesMissing
소재지 has 1 (2.1%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:00:11.845872
Analysis finished2024-03-23 07:00:13.882276
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.5
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2024-03-23T07:00:14.158586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.35
Q112.75
median24.5
Q336.25
95-th percentile45.65
Maximum48
Range47
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation14
Coefficient of variation (CV)0.57142857
Kurtosis-1.2
Mean24.5
Median Absolute Deviation (MAD)12
Skewness0
Sum1176
Variance196
MonotonicityStrictly increasing
2024-03-23T07:00:14.574238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
1 1
 
2.1%
26 1
 
2.1%
28 1
 
2.1%
29 1
 
2.1%
30 1
 
2.1%
31 1
 
2.1%
32 1
 
2.1%
33 1
 
2.1%
34 1
 
2.1%
35 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
1 1
2.1%
2 1
2.1%
3 1
2.1%
4 1
2.1%
5 1
2.1%
6 1
2.1%
7 1
2.1%
8 1
2.1%
9 1
2.1%
10 1
2.1%
ValueCountFrequency (%)
48 1
2.1%
47 1
2.1%
46 1
2.1%
45 1
2.1%
44 1
2.1%
43 1
2.1%
42 1
2.1%
41 1
2.1%
40 1
2.1%
39 1
2.1%

기관명
Text

UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-23T07:00:15.255703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length18.5
Mean length15.229167
Min length6

Characters and Unicode

Total characters731
Distinct characters146
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)100.0%

Sample

1st row(사)한국안전돌봄서비스협회
2nd row(사)한국안전돌봄서비스협회 대구돌봄취업지원센터
3rd row(사)한국안전돌봄서비스협회 포항돌봄취업지원센터
4th row(사)한국안전돌봄서비스협회 영주돌봄취업지원센터
5th row인천항인력센터
ValueCountFrequency (%)
사)한국안전돌봄서비스협회 4
 
5.6%
인천광역시 2
 
2.8%
사회적협동조합 2
 
2.8%
인천지부 2
 
2.8%
사단법인 2
 
2.8%
사)인천광역시 2
 
2.8%
무료직업소개소 2
 
2.8%
인천지회 2
 
2.8%
인천뇌병변장애인인권협회 1
 
1.4%
로이교육재단무료직업소개소 1
 
1.4%
Other values (52) 52
72.2%
2024-03-23T07:00:16.468892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 59
 
8.1%
회 35
 
4.8%
천 30
 
4.1%
사 30
 
4.1%
25
 
3.4%
지 22
 
3.0%
협 21
 
2.9%
) 21
 
2.9%
( 20
 
2.7%
업 16
 
2.2%
Other values (136) 452
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
90.0%
Space Separator 25
 
3.4%
Close Punctuation 21
 
2.9%
Open Punctuation 20
 
2.7%
Uppercase Letter 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 59
 
9.0%
회 35
 
5.3%
천 30
 
4.6%
사 30
 
4.6%
지 22
 
3.3%
협 21
 
3.2%
업 16
 
2.4%
한 15
 
2.3%
터 15
 
2.3%
센 14
 
2.1%
Other values (126) 401
60.9%
Uppercase Letter
ValueCountFrequency (%)
T 1
14.3%
S 1
14.3%
J 1
14.3%
Y 1
14.3%
M 1
14.3%
A 1
14.3%
C 1
14.3%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
90.0%
Common 66
 
9.0%
Latin 7
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 59
 
9.0%
회 35
 
5.3%
천 30
 
4.6%
사 30
 
4.6%
지 22
 
3.3%
협 21
 
3.2%
업 16
 
2.4%
한 15
 
2.3%
터 15
 
2.3%
센 14
 
2.1%
Other values (126) 401
60.9%
Latin
ValueCountFrequency (%)
T 1
14.3%
S 1
14.3%
J 1
14.3%
Y 1
14.3%
M 1
14.3%
A 1
14.3%
C 1
14.3%
Common
ValueCountFrequency (%)
25
37.9%
) 21
31.8%
( 20
30.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
90.0%
ASCII 73
 
10.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 59
 
9.0%
회 35
 
5.3%
천 30
 
4.6%
사 30
 
4.6%
지 22
 
3.3%
협 21
 
3.2%
업 16
 
2.4%
한 15
 
2.3%
터 15
 
2.3%
센 14
 
2.1%
Other values (126) 401
60.9%
ASCII
ValueCountFrequency (%)
25
34.2%
) 21
28.8%
( 20
27.4%
T 1
 
1.4%
S 1
 
1.4%
J 1
 
1.4%
Y 1
 
1.4%
M 1
 
1.4%
A 1
 
1.4%
C 1
 
1.4%

대표자명
Text

Distinct44
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size516.0 B
2024-03-23T07:00:16.993853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters144
Distinct characters68
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

Unique42 ?
Unique (%)87.5%

Sample

1st row이광재
2nd row이광재
3rd row이광재
4th row이광재
5th row최두영
ValueCountFrequency (%)
이광재 4
 
8.3%
위계수 2
 
4.2%
이우영 1
 
2.1%
박병만 1
 
2.1%
김용기 1
 
2.1%
문종권 1
 
2.1%
홍정민 1
 
2.1%
이문선 1
 
2.1%
신용관 1
 
2.1%
박은영 1
 
2.1%
Other values (34) 34
70.8%
2024-03-23T07:00:17.827033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 14
 
9.7%
영 7
 
4.9%
김 5
 
3.5%
정 5
 
3.5%
재 5
 
3.5%
호 4
 
2.8%
종 4
 
2.8%
박 4
 
2.8%
광 4
 
2.8%
용 3
 
2.1%
Other values (58) 89
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 14
 
9.7%
영 7
 
4.9%
김 5
 
3.5%
정 5
 
3.5%
재 5
 
3.5%
호 4
 
2.8%
종 4
 
2.8%
박 4
 
2.8%
광 4
 
2.8%
용 3
 
2.1%
Other values (58) 89
61.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 14
 
9.7%
영 7
 
4.9%
김 5
 
3.5%
정 5
 
3.5%
재 5
 
3.5%
호 4
 
2.8%
종 4
 
2.8%
박 4
 
2.8%
광 4
 
2.8%
용 3
 
2.1%
Other values (58) 89
61.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 14
 
9.7%
영 7
 
4.9%
김 5
 
3.5%
정 5
 
3.5%
재 5
 
3.5%
호 4
 
2.8%
종 4
 
2.8%
박 4
 
2.8%
광 4
 
2.8%
용 3
 
2.1%
Other values (58) 89
61.8%

전화번호
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing7
Missing (%)14.6%
Memory size516.0 B
2024-03-23T07:00:18.367800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length12
Mean length12.707317
Min length12

Characters and Unicode

Total characters521
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row032-762-0103
2nd row032-885-0553
3rd row032-764-1185
4th row032-886-4880
5th row032-889-3752
ValueCountFrequency (%)
032-862-0915 1
 
2.3%
032-511-3161 1
 
2.3%
032-435-1986 1
 
2.3%
032-212-0787 1
 
2.3%
032-516-0023 1
 
2.3%
032-719-8008 1
 
2.3%
032-267-6080 1
 
2.3%
032-469-1251 1
 
2.3%
032-524-8830 1
 
2.3%
032-291-7406 1
 
2.3%
Other values (33) 33
76.7%
2024-03-23T07:00:19.516861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.5%
0 80
15.4%
2 77
14.8%
3 67
12.9%
8 45
8.6%
1 40
7.7%
5 31
 
6.0%
4 25
 
4.8%
6 24
 
4.6%
7 24
 
4.6%
Other values (3) 22
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 431
82.7%
Dash Punctuation 86
 
16.5%
Other Punctuation 2
 
0.4%
Space Separator 2
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 80
18.6%
2 77
17.9%
3 67
15.5%
8 45
10.4%
1 40
9.3%
5 31
 
7.2%
4 25
 
5.8%
6 24
 
5.6%
7 24
 
5.6%
9 18
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 521
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.5%
0 80
15.4%
2 77
14.8%
3 67
12.9%
8 45
8.6%
1 40
7.7%
5 31
 
6.0%
4 25
 
4.8%
6 24
 
4.6%
7 24
 
4.6%
Other values (3) 22
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.5%
0 80
15.4%
2 77
14.8%
3 67
12.9%
8 45
8.6%
1 40
7.7%
5 31
 
6.0%
4 25
 
4.8%
6 24
 
4.6%
7 24
 
4.6%
Other values (3) 22
 
4.2%

팩스번호
Text

MISSING 

Distinct35
Distinct (%)100.0%
Missing13
Missing (%)27.1%
Memory size516.0 B
2024-03-23T07:00:19.996917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length12
Mean length12.342857
Min length12

Characters and Unicode

Total characters432
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

Unique35 ?
Unique (%)100.0%

Sample

1st row032-885-0674
2nd row032-764-1187
3rd row032-232-0540
4th row032-435-1980
5th row032-876-6633
ValueCountFrequency (%)
032-885-0674 1
 
2.9%
032-511-3164 1
 
2.9%
032-812-4348 1
 
2.9%
032-437-8511 1
 
2.9%
032-212-0786 1
 
2.9%
032-511-3323 1
 
2.9%
032-242-4795 1
 
2.9%
032-469-1264 1
 
2.9%
032-577-6103 1
 
2.9%
032-424-4719 1
 
2.9%
Other values (25) 25
71.4%
2024-03-23T07:00:21.028445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 72
16.7%
2 63
14.6%
3 59
13.7%
0 57
13.2%
1 43
10.0%
5 30
6.9%
8 28
 
6.5%
4 27
 
6.2%
6 22
 
5.1%
7 16
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 360
83.3%
Dash Punctuation 72
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 63
17.5%
3 59
16.4%
0 57
15.8%
1 43
11.9%
5 30
8.3%
8 28
7.8%
4 27
7.5%
6 22
 
6.1%
7 16
 
4.4%
9 15
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 432
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 72
16.7%
2 63
14.6%
3 59
13.7%
0 57
13.2%
1 43
10.0%
5 30
6.9%
8 28
 
6.5%
4 27
 
6.2%
6 22
 
5.1%
7 16
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 72
16.7%
2 63
14.6%
3 59
13.7%
0 57
13.2%
1 43
10.0%
5 30
6.9%
8 28
 
6.5%
4 27
 
6.2%
6 22
 
5.1%
7 16
 
3.7%

소재지
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing1
Missing (%)2.1%
Memory size516.0 B
2024-03-23T07:00:21.566817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39
Mean length31.148936
Min length16

Characters and Unicode

Total characters1464
Distinct characters154
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

Unique47 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 개항로 65,경동고시텔 401호(경동)
2nd row대구광역시 달서구 월배로 120, 소호메디컬타워 4층 403호(진천동)
3rd row경산북도 포항시 남구 중앙로 154, 학산타원빌딩 8층(해도동)
4th row경상북도 영주시 중앙로95번길 1, 김밥나라 2층(영주동)
5th row인천광역시 중구 서해대로 387, 1층
ValueCountFrequency (%)
인천광역시 42
 
15.2%
남동구 18
 
6.5%
미추홀구 7
 
2.5%
3층 6
 
2.2%
208 6
 
2.2%
용천로 6
 
2.2%
부평구 6
 
2.2%
인천시 5
 
1.8%
서구 4
 
1.4%
계양구 4
 
1.4%
Other values (154) 173
62.5%
2024-03-23T07:00:22.664296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
235
 
16.1%
동 60
 
4.1%
천 59
 
4.0%
인 55
 
3.8%
시 54
 
3.7%
구 52
 
3.6%
로 51
 
3.5%
광 45
 
3.1%
역 45
 
3.1%
1 40
 
2.7%
Other values (144) 768
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 881
60.2%
Space Separator 235
 
16.1%
Decimal Number 232
 
15.8%
Other Punctuation 44
 
3.0%
Close Punctuation 31
 
2.1%
Open Punctuation 31
 
2.1%
Dash Punctuation 6
 
0.4%
Uppercase Letter 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 60
 
6.8%
천 59
 
6.7%
인 55
 
6.2%
시 54
 
6.1%
구 52
 
5.9%
로 51
 
5.8%
광 45
 
5.1%
역 45
 
5.1%
남 28
 
3.2%
층 26
 
3.0%
Other values (124) 406
46.1%
Decimal Number
ValueCountFrequency (%)
1 40
17.2%
3 34
14.7%
2 33
14.2%
0 29
12.5%
5 23
9.9%
7 18
7.8%
4 17
7.3%
8 16
 
6.9%
6 11
 
4.7%
9 11
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 37
84.1%
. 7
 
15.9%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
t 1
50.0%
Space Separator
ValueCountFrequency (%)
235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 881
60.2%
Common 579
39.5%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 60
 
6.8%
천 59
 
6.7%
인 55
 
6.2%
시 54
 
6.1%
구 52
 
5.9%
로 51
 
5.8%
광 45
 
5.1%
역 45
 
5.1%
남 28
 
3.2%
층 26
 
3.0%
Other values (124) 406
46.1%
Common
ValueCountFrequency (%)
235
40.6%
1 40
 
6.9%
, 37
 
6.4%
3 34
 
5.9%
2 33
 
5.7%
) 31
 
5.4%
( 31
 
5.4%
0 29
 
5.0%
5 23
 
4.0%
7 18
 
3.1%
Other values (6) 68
 
11.7%
Latin
ValueCountFrequency (%)
A 1
25.0%
B 1
25.0%
k 1
25.0%
t 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 881
60.2%
ASCII 583
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
235
40.3%
1 40
 
6.9%
, 37
 
6.3%
3 34
 
5.8%
2 33
 
5.7%
) 31
 
5.3%
( 31
 
5.3%
0 29
 
5.0%
5 23
 
3.9%
7 18
 
3.1%
Other values (10) 72
 
12.3%
Hangul
ValueCountFrequency (%)
동 60
 
6.8%
천 59
 
6.7%
인 55
 
6.2%
시 54
 
6.1%
구 52
 
5.9%
로 51
 
5.8%
광 45
 
5.1%
역 45
 
5.1%
남 28
 
3.2%
층 26
 
3.0%
Other values (124) 406
46.1%

Interactions

2024-03-23T07:00:12.707442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:00:23.044401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명대표자명전화번호팩스번호소재지
연번1.0001.0000.9841.0001.0001.000
기관명1.0001.0001.0001.0001.0001.000
대표자명0.9841.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.000

Missing values

2024-03-23T07:00:13.042781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:00:13.445407image/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.
2024-03-23T07:00:13.754346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번기관명대표자명전화번호팩스번호소재지
01(사)한국안전돌봄서비스협회이광재032-762-0103<NA>인천광역시 중구 개항로 65,경동고시텔 401호(경동)
12(사)한국안전돌봄서비스협회 대구돌봄취업지원센터이광재<NA><NA>대구광역시 달서구 월배로 120, 소호메디컬타워 4층 403호(진천동)
23(사)한국안전돌봄서비스협회 포항돌봄취업지원센터이광재<NA><NA>경산북도 포항시 남구 중앙로 154, 학산타원빌딩 8층(해도동)
34(사)한국안전돌봄서비스협회 영주돌봄취업지원센터이광재<NA><NA>경상북도 영주시 중앙로95번길 1, 김밥나라 2층(영주동)
45인천항인력센터최두영032-885-0553032-885-0674인천광역시 중구 서해대로 387, 1층
56송림종합사회복지관김회숙032-764-1185032-764-1187인천광역시 동구 송림로43번길 35(송림동)
67인천뇌병변장애인인권협회신영노032-886-4880032-232-0540인천광역시 미추홀구 염창로 42. 강남메디칼타워 602호 (주안동)
78사)대한노인회 인천시연합회 취업지원센터박용열032-889-3752<NA>인천광역시 미추홀구 능해길 21. 인천시 노인복지회관 (용현동)
89미추홀시니어클럽이수민032-435-1982032-435-1980인천광역시 미추홀구 도화동 102-27
910인천광역시 시각장애인 복지관이춘노032-876-3500032-876-6633인천광역시 미추홀구 한나루로357번길 105-19 (학익동. 시각장애인복지관)
연번기관명대표자명전화번호팩스번호소재지
3839고용과미래 사회적협동조합오현주032-715-7913<NA>인천광역시 부평구 부흥로 337, 5층 (부평동)
3940섬나장애인무료취업소개소이한덕032-555-4138032-555-4139인천광역시 계양구 장제로875번길 1
4041(사)한국요양보호사교육기관협회 인천지부손종관032-508-1010032-556-7600인천광역시 계양구 계양대로 101, 303호
4142계양구노인인력개발센터강병호032-546-9662032-546-9665인천광역시 계양구 장제로 799, 5층
4243인천계양시니어클럽손병오032-555-6330032-551-6330인천광역시 계양구 계양산로102번길 5, 2층
4344인천서구여성인력개발센터조민정032-577-6091032-577-6103인천광역시 서구 가정로 350
4445큰솔장애인자립생활센터이규일032-563-3192032-562-2215인천광역시 서구 심곡로 81, 국제빌딩 2층
4546(사)한국장애인표준사업장협회 인천지회김영훈070-5157-6585<NA>인천광역시 서구 가정로77번길 26-1. 303호 (가좌동)
4647사단법인 한국코딩드론메이커스조성호032-715-7236<NA>인천광역시 서구 로봇랜드로 155-11. 로봇랜드 로봇지원센터 11층 (청라동)
4748지역고용전략연구소김미경032-932-2292<NA>인천광역시 강화군 강화읍 강화대로 404번길 7 401호