Overview

Dataset statistics

Number of variables7
Number of observations29
Missing cells7
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory61.6 B

Variable types

Numeric1
Categorical1
Text5

Dataset

Description인천광역시 부평구 사회적 기업 현황데이터는 기업명, 사업장 주소,업종, 사업내용, 연락처,에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15102565/fileData.do

Alerts

연락처 has 7 (24.1%) missing valuesMissing
기업명 has unique valuesUnique
사업내용 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:12:03.568936
Analysis finished2023-12-12 08:12:04.480273
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2068966
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T17:12:04.564961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.4
Q14
median8
Q314
95-th percentile19.6
Maximum21
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.1434013
Coefficient of variation (CV)0.66726081
Kurtosis-1.0001719
Mean9.2068966
Median Absolute Deviation (MAD)5
Skewness0.46916848
Sum267
Variance37.741379
MonotonicityNot monotonic
2023-12-12T17:12:04.724625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 2
 
6.9%
3 2
 
6.9%
4 2
 
6.9%
5 2
 
6.9%
6 2
 
6.9%
7 2
 
6.9%
8 2
 
6.9%
2 2
 
6.9%
16 1
 
3.4%
21 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
1 2
6.9%
2 2
6.9%
3 2
6.9%
4 2
6.9%
5 2
6.9%
6 2
6.9%
7 2
6.9%
8 2
6.9%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
21 1
3.4%
20 1
3.4%
19 1
3.4%
18 1
3.4%
17 1
3.4%
16 1
3.4%
15 1
3.4%
14 1
3.4%
13 1
3.4%
12 1
3.4%

구분
Categorical

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size364.0 B
인증
21 
예비
8 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인증 21
72.4%
예비 8
 
27.6%

Length

2023-12-12T17:12:04.875390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:12:05.323995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인증 21
72.4%
예비 8
 
27.6%

기업명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T17:12:05.529684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.5172414
Min length4

Characters and Unicode

Total characters276
Distinct characters124
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

Unique29 ?
Unique (%)100.0%

Sample

1st row사회복지법인 손과손 핸인핸
2nd row인천평화의료복지 사회적협동조합
3rd row전통연희단 잔치마당
4th row인천 자바르떼
5th row(주)크린인천
ValueCountFrequency (%)
사회적협동조합 6
 
14.3%
사회복지법인 1
 
2.4%
화이트어비스㈜ 1
 
2.4%
사단법인)우리동네희망마을 1
 
2.4%
㈜길벗여행사 1
 
2.4%
소통과 1
 
2.4%
나눔 1
 
2.4%
㈜모이세 1
 
2.4%
㈜청림밀푸드 1
 
2.4%
㈜에듀마크 1
 
2.4%
Other values (27) 27
64.3%
2023-12-12T17:12:05.885317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
4.7%
㈜ 12
 
4.3%
사 10
 
3.6%
회 8
 
2.9%
인 8
 
2.9%
조 8
 
2.9%
동 8
 
2.9%
합 7
 
2.5%
협 7
 
2.5%
적 6
 
2.2%
Other values (114) 189
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 239
86.6%
Space Separator 13
 
4.7%
Other Symbol 12
 
4.3%
Close Punctuation 6
 
2.2%
Open Punctuation 6
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 10
 
4.2%
회 8
 
3.3%
인 8
 
3.3%
조 8
 
3.3%
동 8
 
3.3%
합 7
 
2.9%
협 7
 
2.9%
적 6
 
2.5%
주 6
 
2.5%
이 6
 
2.5%
Other values (110) 165
69.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 251
90.9%
Common 25
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 12
 
4.8%
사 10
 
4.0%
회 8
 
3.2%
인 8
 
3.2%
조 8
 
3.2%
동 8
 
3.2%
합 7
 
2.8%
협 7
 
2.8%
적 6
 
2.4%
주 6
 
2.4%
Other values (111) 171
68.1%
Common
ValueCountFrequency (%)
13
52.0%
) 6
24.0%
( 6
24.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 239
86.6%
ASCII 25
 
9.1%
None 12
 
4.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
52.0%
) 6
24.0%
( 6
24.0%
None
ValueCountFrequency (%)
㈜ 12
100.0%
Hangul
ValueCountFrequency (%)
사 10
 
4.2%
회 8
 
3.3%
인 8
 
3.3%
조 8
 
3.3%
동 8
 
3.3%
합 7
 
2.9%
협 7
 
2.9%
적 6
 
2.5%
주 6
 
2.5%
이 6
 
2.5%
Other values (110) 165
69.0%

업종
Text

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T17:12:06.074671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length4.2068966
Min length2

Characters and Unicode

Total characters122
Distinct characters47
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

Unique15 ?
Unique (%)51.7%

Sample

1st row제조
2nd row문화예술
3rd row문화예술
4th row문화예술
5th row청소
ValueCountFrequency (%)
문화예술 3
 
9.1%
교육서비스업 3
 
9.1%
제조업 3
 
9.1%
청소 2
 
6.1%
식품 2
 
6.1%
건설 2
 
6.1%
도소매 2
 
6.1%
교육 2
 
6.1%
재활용 1
 
3.0%
제조 1
 
3.0%
Other values (12) 12
36.4%
2023-12-12T17:12:06.407123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 12
 
9.8%
스 7
 
5.7%
비 7
 
5.7%
서 7
 
5.7%
제 5
 
4.1%
소 5
 
4.1%
교 5
 
4.1%
육 5
 
4.1%
4
 
3.3%
술 4
 
3.3%
Other values (37) 61
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
94.3%
Space Separator 4
 
3.3%
Other Punctuation 3
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 12
 
10.4%
스 7
 
6.1%
비 7
 
6.1%
서 7
 
6.1%
제 5
 
4.3%
소 5
 
4.3%
교 5
 
4.3%
육 5
 
4.3%
술 4
 
3.5%
조 4
 
3.5%
Other values (35) 54
47.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
94.3%
Common 7
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 12
 
10.4%
스 7
 
6.1%
비 7
 
6.1%
서 7
 
6.1%
제 5
 
4.3%
소 5
 
4.3%
교 5
 
4.3%
육 5
 
4.3%
술 4
 
3.5%
조 4
 
3.5%
Other values (35) 54
47.0%
Common
ValueCountFrequency (%)
4
57.1%
, 3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
94.3%
ASCII 7
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 12
 
10.4%
스 7
 
6.1%
비 7
 
6.1%
서 7
 
6.1%
제 5
 
4.3%
소 5
 
4.3%
교 5
 
4.3%
육 5
 
4.3%
술 4
 
3.5%
조 4
 
3.5%
Other values (35) 54
47.0%
ASCII
ValueCountFrequency (%)
4
57.1%
, 3
42.9%

사업내용
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T17:12:06.655598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length13.413793
Min length4

Characters and Unicode

Total characters389
Distinct characters146
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

Unique29 ?
Unique (%)100.0%

Sample

1st row칫솔, 카트리지 제조 판매
2nd row저소득층 진료, 재가간병
3rd row퓨전국악 공연예술, 전통문화교육
4th row문화예술, 기획, 공연
5th row건물청소, 소독방역
ValueCountFrequency (%)
판매 5
 
5.7%
및 3
 
3.4%
제조 2
 
2.3%
인테리어공사 2
 
2.3%
판촉물 2
 
2.3%
운영 2
 
2.3%
칫솔 1
 
1.1%
도시락류 1
 
1.1%
집수리 1
 
1.1%
학습지원서비스 1
 
1.1%
Other values (67) 67
77.0%
2023-12-12T17:12:07.126439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
14.9%
, 28
 
7.2%
판 10
 
2.6%
업 8
 
2.1%
사 7
 
1.8%
기 7
 
1.8%
매 7
 
1.8%
소 6
 
1.5%
물 6
 
1.5%
통 6
 
1.5%
Other values (136) 246
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
77.1%
Space Separator 58
 
14.9%
Other Punctuation 29
 
7.5%
Decimal Number 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
판 10
 
3.3%
업 8
 
2.7%
사 7
 
2.3%
기 7
 
2.3%
매 7
 
2.3%
소 6
 
2.0%
물 6
 
2.0%
통 6
 
2.0%
제 6
 
2.0%
조 6
 
2.0%
Other values (132) 231
77.0%
Other Punctuation
ValueCountFrequency (%)
, 28
96.6%
: 1
 
3.4%
Space Separator
ValueCountFrequency (%)
58
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
77.1%
Common 89
 
22.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
판 10
 
3.3%
업 8
 
2.7%
사 7
 
2.3%
기 7
 
2.3%
매 7
 
2.3%
소 6
 
2.0%
물 6
 
2.0%
통 6
 
2.0%
제 6
 
2.0%
조 6
 
2.0%
Other values (132) 231
77.0%
Common
ValueCountFrequency (%)
58
65.2%
, 28
31.5%
1 2
 
2.2%
: 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
77.1%
ASCII 89
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
65.2%
, 28
31.5%
1 2
 
2.2%
: 1
 
1.1%
Hangul
ValueCountFrequency (%)
판 10
 
3.3%
업 8
 
2.7%
사 7
 
2.3%
기 7
 
2.3%
매 7
 
2.3%
소 6
 
2.0%
물 6
 
2.0%
통 6
 
2.0%
제 6
 
2.0%
조 6
 
2.0%
Other values (132) 231
77.0%

연락처
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing7
Missing (%)24.1%
Memory size364.0 B
2023-12-12T17:12:07.392950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row032-527-0337
2nd row032-524-6911
3rd row032-501-1454
4th row032-261-8327
5th row032-513-1982
ValueCountFrequency (%)
032-524-6911 1
 
4.5%
032-501-1454 1
 
4.5%
070-8852-0062 1
 
4.5%
070-4333-4835 1
 
4.5%
1522-1233 1
 
4.5%
032-464-6352 1
 
4.5%
032-512-9465 1
 
4.5%
032-555-1144 1
 
4.5%
032-508-0206 1
 
4.5%
032-514-0109 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T17:12:07.804004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 43
16.3%
0 42
15.9%
2 37
14.0%
3 31
11.7%
5 26
9.8%
1 19
7.2%
4 17
 
6.4%
7 17
 
6.4%
9 11
 
4.2%
8 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 221
83.7%
Dash Punctuation 43
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 42
19.0%
2 37
16.7%
3 31
14.0%
5 26
11.8%
1 19
8.6%
4 17
7.7%
7 17
7.7%
9 11
 
5.0%
8 11
 
5.0%
6 10
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 43
16.3%
0 42
15.9%
2 37
14.0%
3 31
11.7%
5 26
9.8%
1 19
7.2%
4 17
 
6.4%
7 17
 
6.4%
9 11
 
4.2%
8 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 43
16.3%
0 42
15.9%
2 37
14.0%
3 31
11.7%
5 26
9.8%
1 19
7.2%
4 17
 
6.4%
7 17
 
6.4%
9 11
 
4.2%
8 11
 
4.2%

주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T17:12:08.072325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length31.068966
Min length21

Characters and Unicode

Total characters901
Distinct characters113
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

Unique29 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 동수로 87(부평동)
2nd row인천광역시 부평구 경인로1104번길 10(부개동)
3rd row인천광역시 부평구 마장로 24(십정동, 만월빌딩지하)
4th row인천광역시 부평구 동수로 28, 1층 111호(부평동)
5th row인천광역시 부평구 동수로 28, 1층 111호(부평동, 샬렛주상아파트)
ValueCountFrequency (%)
인천광역시 29
 
18.8%
부평구 29
 
18.8%
1층 3
 
1.9%
주부토로 3
 
1.9%
부평대로 3
 
1.9%
236 3
 
1.9%
동수로 3
 
1.9%
경인로 2
 
1.3%
u1센터 2
 
1.3%
d동 2
 
1.3%
Other values (68) 75
48.7%
2023-12-12T17:12:08.541735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
13.9%
부 51
 
5.7%
평 43
 
4.8%
1 39
 
4.3%
천 37
 
4.1%
인 36
 
4.0%
동 35
 
3.9%
, 31
 
3.4%
구 29
 
3.2%
시 29
 
3.2%
Other values (103) 446
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 530
58.8%
Decimal Number 151
 
16.8%
Space Separator 125
 
13.9%
Other Punctuation 31
 
3.4%
Open Punctuation 29
 
3.2%
Close Punctuation 29
 
3.2%
Uppercase Letter 5
 
0.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 51
 
9.6%
평 43
 
8.1%
천 37
 
7.0%
인 36
 
6.8%
동 35
 
6.6%
구 29
 
5.5%
시 29
 
5.5%
역 29
 
5.5%
광 29
 
5.5%
로 29
 
5.5%
Other values (85) 183
34.5%
Decimal Number
ValueCountFrequency (%)
1 39
25.8%
2 21
13.9%
0 19
12.6%
3 16
10.6%
8 14
 
9.3%
6 12
 
7.9%
5 9
 
6.0%
7 8
 
5.3%
9 7
 
4.6%
4 6
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
40.0%
U 2
40.0%
A 1
20.0%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 530
58.8%
Common 366
40.6%
Latin 5
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 51
 
9.6%
평 43
 
8.1%
천 37
 
7.0%
인 36
 
6.8%
동 35
 
6.6%
구 29
 
5.5%
시 29
 
5.5%
역 29
 
5.5%
광 29
 
5.5%
로 29
 
5.5%
Other values (85) 183
34.5%
Common
ValueCountFrequency (%)
125
34.2%
1 39
 
10.7%
, 31
 
8.5%
( 29
 
7.9%
) 29
 
7.9%
2 21
 
5.7%
0 19
 
5.2%
3 16
 
4.4%
8 14
 
3.8%
6 12
 
3.3%
Other values (5) 31
 
8.5%
Latin
ValueCountFrequency (%)
D 2
40.0%
U 2
40.0%
A 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 530
58.8%
ASCII 371
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
33.7%
1 39
 
10.5%
, 31
 
8.4%
( 29
 
7.8%
) 29
 
7.8%
2 21
 
5.7%
0 19
 
5.1%
3 16
 
4.3%
8 14
 
3.8%
6 12
 
3.2%
Other values (8) 36
 
9.7%
Hangul
ValueCountFrequency (%)
부 51
 
9.6%
평 43
 
8.1%
천 37
 
7.0%
인 36
 
6.8%
동 35
 
6.6%
구 29
 
5.5%
시 29
 
5.5%
역 29
 
5.5%
광 29
 
5.5%
로 29
 
5.5%
Other values (85) 183
34.5%

Interactions

2023-12-12T17:12:04.089358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:12:08.654620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분기업명업종사업내용연락처주소
연번1.0000.0001.0000.8021.0001.0001.000
구분0.0001.0001.0000.6641.0001.0001.000
기업명1.0001.0001.0001.0001.0001.0001.000
업종0.8020.6641.0001.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
2023-12-12T17:12:08.797536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.000
구분0.0001.000

Missing values

2023-12-12T17:12:04.266162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:12:04.430938image/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

연번구분기업명업종사업내용연락처주소
01인증사회복지법인 손과손 핸인핸제조칫솔, 카트리지 제조 판매032-527-0337인천광역시 부평구 동수로 87(부평동)
12인증인천평화의료복지 사회적협동조합문화예술저소득층 진료, 재가간병032-524-6911인천광역시 부평구 경인로1104번길 10(부개동)
23인증전통연희단 잔치마당문화예술퓨전국악 공연예술, 전통문화교육032-501-1454인천광역시 부평구 마장로 24(십정동, 만월빌딩지하)
34인증인천 자바르떼문화예술문화예술, 기획, 공연032-261-8327인천광역시 부평구 동수로 28, 1층 111호(부평동)
45인증(주)크린인천청소건물청소, 소독방역032-513-1982인천광역시 부평구 동수로 28, 1층 111호(부평동, 샬렛주상아파트)
56인증(주)섬나애드기획광고현수막, 인쇄, 판촉물070-8858-7621인천광역시 부평구 주부토로249번길 68, 202호(갈산동, 덕앤미)
67인증(주)뉴크린아트청소건물위생, 에어컨 청소032-505-4142인천광역시 부평구 경인로 1039, 지하층(부개동)
78인증커피위드인 사회적협동조합식품커피 등 음료 판매032-506-4561인천광역시 부평구 부평대로 168, 1층(부평동)
89인증도우누리정다운 사회적협동조합간병가사장기요양, 가사간병032-715-5994인천광역시 부평구 굴포로7번길 31, 2층(갈산동)
910인증대성하우징협동조합건설인테리어공사, 실내장식 공사032-503-9077인천광역시 부평구 마장로83번길 8(십정동)
연번구분기업명업종사업내용연락처주소
1920인증㈜청림밀푸드제조업도시락류, 식자재 판매 유통1522-1233인천광역시 부평구 부평북로 11, 2층(청천동)
2021인증㈜에듀마크교육서비스업소프트웨어 개발070-4333-4835인천광역시 부평구 주부토로 236, D동 2008~2015호(갈산동, U1센터)
211예비화이트어비스㈜사회복지서비스업심리상담<NA>인천광역시 부평구 충선로209번길 41, 701호(삼산동)
222예비㈜에스에치테크놀로지제조업소프트웨어개발업, 통신기기제조,도매032-204-0808인천광역시 부평구 주부토로 236, D동 1704호(갈산동,인천테크노밸리 U1센터)
233예비㈜플라워물들이다교육 및 도소매원예용품 제조 및 교육<NA>인천광역시 부평구 길주로 539, 인천여성가족재단 별관 105호(갈산동)
244예비㈜아이앤지영상, 정보통신서비스업출판, 영상, 방송통신<NA>인천광역시 부평구 수변로 56, 106호(부개동)
255예비㈜룩스시스템도소매업봉투유통, 도매업<NA>인천광역시 부평구 경인로1118번길 22, 3층(일신동)
266예비㈜비에스아이조명제조업가로등, 조명기구 제조,유통<NA>인천광역시 부평구 주부토로151번길 202호(갈산동)
277예비사회적협동조합 지구의벗 환경교육센터교육서비스업사회환경교육<NA>인천광역시 부평구 수변로 56, 1층 코워킹룸(부개동)
288예비사회적협동조합 도시농부꽃마당농업, 교육서비스업도시농업, 텃밭조성<NA>인천광역시 부평구 부흥로 337, 5층(부평동)