Overview

Dataset statistics

Number of variables6
Number of observations60
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory51.2 B

Variable types

Numeric1
Text4
DateTime1

Dataset

Description인천광역시 서구 100인 이상 기업체 현황입니다. 회사명, 소재지, 생산품, 연락처, 데이터기준일자등에 관한 정보입니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15090759/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:01:53.189536
Analysis finished2023-12-12 21:01:54.163362
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct60
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.5
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T06:01:54.265770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.95
Q115.75
median30.5
Q345.25
95-th percentile57.05
Maximum60
Range59
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation17.464249
Coefficient of variation (CV)0.57259833
Kurtosis-1.2
Mean30.5
Median Absolute Deviation (MAD)15
Skewness0
Sum1830
Variance305
MonotonicityStrictly increasing
2023-12-13T06:01:54.439010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
32 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
41 1
 
1.7%
Other values (50) 50
83.3%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
60 1
1.7%
59 1
1.7%
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%

회사명
Text

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T06:01:54.692866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length8.35
Min length4

Characters and Unicode

Total characters501
Distinct characters146
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)83.3%

Sample

1st row(주)TPC메카트로닉스
2nd row(주)TPC메카트로닉스
3rd row(주)경신 인천공장
4th row(주)경인양행
5th row(주)동진쎄미켐
ValueCountFrequency (%)
주)tpc메카트로닉스 2
 
2.9%
핸즈코퍼레이션(주 2
 
2.9%
인천공장 2
 
2.9%
동화기업(주 2
 
2.9%
린나이코리아(주 2
 
2.9%
주)연우 2
 
2.9%
주)우딘 2
 
2.9%
영림화학(주 1
 
1.5%
동신관유리공업(주 1
 
1.5%
동아알루미늄(주 1
 
1.5%
Other values (51) 51
75.0%
2023-12-13T06:01:55.044160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 59
 
11.8%
( 56
 
11.2%
) 56
 
11.2%
스 16
 
3.2%
이 16
 
3.2%
공 9
 
1.8%
아 9
 
1.8%
8
 
1.6%
인 8
 
1.6%
장 7
 
1.4%
Other values (136) 257
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
72.3%
Open Punctuation 56
 
11.2%
Close Punctuation 56
 
11.2%
Uppercase Letter 10
 
2.0%
Space Separator 8
 
1.6%
Decimal Number 6
 
1.2%
Other Punctuation 1
 
0.2%
Dash Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 59
 
16.3%
스 16
 
4.4%
이 16
 
4.4%
공 9
 
2.5%
아 9
 
2.5%
인 8
 
2.2%
장 7
 
1.9%
트 7
 
1.9%
리 7
 
1.9%
코 6
 
1.7%
Other values (119) 218
60.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
20.0%
P 2
20.0%
T 2
20.0%
M 1
10.0%
K 1
10.0%
S 1
10.0%
I 1
10.0%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 2
33.3%
3 1
16.7%
4 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
72.5%
Common 128
 
25.5%
Latin 10
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 59
 
16.3%
스 16
 
4.4%
이 16
 
4.4%
공 9
 
2.5%
아 9
 
2.5%
인 8
 
2.2%
장 7
 
1.9%
트 7
 
1.9%
리 7
 
1.9%
코 6
 
1.7%
Other values (120) 219
60.3%
Common
ValueCountFrequency (%)
( 56
43.8%
) 56
43.8%
8
 
6.2%
1 2
 
1.6%
2 2
 
1.6%
3 1
 
0.8%
& 1
 
0.8%
- 1
 
0.8%
4 1
 
0.8%
Latin
ValueCountFrequency (%)
C 2
20.0%
P 2
20.0%
T 2
20.0%
M 1
10.0%
K 1
10.0%
S 1
10.0%
I 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
72.3%
ASCII 138
 
27.5%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 59
 
16.3%
스 16
 
4.4%
이 16
 
4.4%
공 9
 
2.5%
아 9
 
2.5%
인 8
 
2.2%
장 7
 
1.9%
트 7
 
1.9%
리 7
 
1.9%
코 6
 
1.7%
Other values (119) 218
60.2%
ASCII
ValueCountFrequency (%)
( 56
40.6%
) 56
40.6%
8
 
5.8%
1 2
 
1.4%
2 2
 
1.4%
C 2
 
1.4%
P 2
 
1.4%
T 2
 
1.4%
3 1
 
0.7%
& 1
 
0.7%
Other values (6) 6
 
4.3%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표주소
Text

Distinct59
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T06:01:55.360439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length38
Mean length28
Min length18

Characters and Unicode

Total characters1680
Distinct characters117
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

Unique58 ?
Unique (%)96.7%

Sample

1st row인천광역시 서구 백범로603번길 24 (가좌동, A동)
2nd row인천광역시 서구 갑문2로 39(오류동)
3rd row인천광역시 서구 가좌동 538-3번지
4th row인천광역시 서구 건지로 199 (석남동, (주)경인양행인천공장A동) 외 4필지
5th row인천광역시 서구 백범로 644 (가좌동, 2동)
ValueCountFrequency (%)
인천광역시 60
 
16.4%
서구 60
 
16.4%
가좌동 30
 
8.2%
외 20
 
5.5%
1필지 8
 
2.2%
석남동 7
 
1.9%
오류동 7
 
1.9%
가재울로 7
 
1.9%
백범로 6
 
1.6%
원창동 5
 
1.4%
Other values (123) 156
42.6%
2023-12-13T06:01:55.739676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
306
 
18.2%
동 73
 
4.3%
( 69
 
4.1%
) 69
 
4.1%
서 66
 
3.9%
인 63
 
3.8%
천 62
 
3.7%
시 60
 
3.6%
역 60
 
3.6%
광 60
 
3.6%
Other values (107) 792
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 971
57.8%
Space Separator 306
 
18.2%
Decimal Number 224
 
13.3%
Open Punctuation 69
 
4.1%
Close Punctuation 69
 
4.1%
Other Punctuation 22
 
1.3%
Uppercase Letter 14
 
0.8%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 73
 
7.5%
서 66
 
6.8%
인 63
 
6.5%
천 62
 
6.4%
시 60
 
6.2%
역 60
 
6.2%
광 60
 
6.2%
구 60
 
6.2%
로 58
 
6.0%
가 50
 
5.1%
Other values (83) 359
37.0%
Decimal Number
ValueCountFrequency (%)
1 40
17.9%
3 37
16.5%
2 29
12.9%
4 23
10.3%
6 21
9.4%
5 19
8.5%
8 18
8.0%
9 15
 
6.7%
7 14
 
6.2%
0 8
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
R 3
21.4%
A 3
21.4%
K 2
14.3%
B 2
14.3%
H 1
 
7.1%
O 1
 
7.1%
E 1
 
7.1%
S 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 20
90.9%
. 2
 
9.1%
Space Separator
ValueCountFrequency (%)
306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 971
57.8%
Common 695
41.4%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 73
 
7.5%
서 66
 
6.8%
인 63
 
6.5%
천 62
 
6.4%
시 60
 
6.2%
역 60
 
6.2%
광 60
 
6.2%
구 60
 
6.2%
로 58
 
6.0%
가 50
 
5.1%
Other values (83) 359
37.0%
Common
ValueCountFrequency (%)
306
44.0%
( 69
 
9.9%
) 69
 
9.9%
1 40
 
5.8%
3 37
 
5.3%
2 29
 
4.2%
4 23
 
3.3%
6 21
 
3.0%
, 20
 
2.9%
5 19
 
2.7%
Other values (6) 62
 
8.9%
Latin
ValueCountFrequency (%)
R 3
21.4%
A 3
21.4%
K 2
14.3%
B 2
14.3%
H 1
 
7.1%
O 1
 
7.1%
E 1
 
7.1%
S 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 971
57.8%
ASCII 709
42.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
306
43.2%
( 69
 
9.7%
) 69
 
9.7%
1 40
 
5.6%
3 37
 
5.2%
2 29
 
4.1%
4 23
 
3.2%
6 21
 
3.0%
, 20
 
2.8%
5 19
 
2.7%
Other values (14) 76
 
10.7%
Hangul
ValueCountFrequency (%)
동 73
 
7.5%
서 66
 
6.8%
인 63
 
6.5%
천 62
 
6.4%
시 60
 
6.2%
역 60
 
6.2%
광 60
 
6.2%
구 60
 
6.2%
로 58
 
6.0%
가 50
 
5.1%
Other values (83) 359
37.0%

생산품
Text

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T06:01:55.983923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length19
Mean length10.216667
Min length2

Characters and Unicode

Total characters613
Distinct characters190
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

Unique53 ?
Unique (%)88.3%

Sample

1st row에어실린더,솔레노이드밸브,FRL등
2nd row직교로봇, 리니어로봇, 갠트리 스테이지, 3D프린터
3rd row자동차배선 조립
4th row염료
5th row발포제 EMC 멜라민
ValueCountFrequency (%)
인쇄회로기판 5
 
4.3%
제조용 3
 
2.6%
자동화 3
 
2.6%
장비 3
 
2.6%
반도체 3
 
2.6%
외 3
 
2.6%
우편물발송처리 1
 
0.9%
중장비부품 1
 
0.9%
스팀오븐,밥솥 1
 
0.9%
가스보일러 1
 
0.9%
Other values (92) 92
79.3%
2023-12-13T06:01:56.371948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
56
 
9.1%
, 37
 
6.0%
기 21
 
3.4%
자 20
 
3.3%
동 15
 
2.4%
제 15
 
2.4%
장 15
 
2.4%
용 14
 
2.3%
품 13
 
2.1%
로 11
 
1.8%
Other values (180) 396
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 484
79.0%
Space Separator 56
 
9.1%
Other Punctuation 37
 
6.0%
Uppercase Letter 24
 
3.9%
Lowercase Letter 4
 
0.7%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Decimal Number 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 21
 
4.3%
자 20
 
4.1%
동 15
 
3.1%
제 15
 
3.1%
장 15
 
3.1%
용 14
 
2.9%
품 13
 
2.7%
로 11
 
2.3%
전 10
 
2.1%
비 10
 
2.1%
Other values (158) 340
70.2%
Uppercase Letter
ValueCountFrequency (%)
E 3
12.5%
M 3
12.5%
F 3
12.5%
B 2
8.3%
L 2
8.3%
T 2
8.3%
P 2
8.3%
D 2
8.3%
C 2
8.3%
R 1
 
4.2%
Other values (2) 2
8.3%
Lowercase Letter
ValueCountFrequency (%)
t 1
25.0%
i 1
25.0%
n 1
25.0%
u 1
25.0%
Decimal Number
ValueCountFrequency (%)
6 1
50.0%
3 1
50.0%
Space Separator
ValueCountFrequency (%)
56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 484
79.0%
Common 101
 
16.5%
Latin 28
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 21
 
4.3%
자 20
 
4.1%
동 15
 
3.1%
제 15
 
3.1%
장 15
 
3.1%
용 14
 
2.9%
품 13
 
2.7%
로 11
 
2.3%
전 10
 
2.1%
비 10
 
2.1%
Other values (158) 340
70.2%
Latin
ValueCountFrequency (%)
E 3
10.7%
M 3
10.7%
F 3
10.7%
B 2
 
7.1%
L 2
 
7.1%
T 2
 
7.1%
P 2
 
7.1%
D 2
 
7.1%
C 2
 
7.1%
t 1
 
3.6%
Other values (6) 6
21.4%
Common
ValueCountFrequency (%)
56
55.4%
, 37
36.6%
) 3
 
3.0%
( 3
 
3.0%
6 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 484
79.0%
ASCII 129
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
56
43.4%
, 37
28.7%
E 3
 
2.3%
M 3
 
2.3%
) 3
 
2.3%
F 3
 
2.3%
( 3
 
2.3%
B 2
 
1.6%
L 2
 
1.6%
T 2
 
1.6%
Other values (12) 15
 
11.6%
Hangul
ValueCountFrequency (%)
기 21
 
4.3%
자 20
 
4.1%
동 15
 
3.1%
제 15
 
3.1%
장 15
 
3.1%
용 14
 
2.9%
품 13
 
2.7%
로 11
 
2.3%
전 10
 
2.1%
비 10
 
2.1%
Other values (158) 340
70.2%

전화번호
Text

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T06:01:56.592140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters720
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 (%)86.7%

Sample

1st row032-573-5555
2nd row032-580-0605
3rd row032-580-7232
4th row032-571-7498
5th row032-578-5091
ValueCountFrequency (%)
032-571-9100 2
 
3.3%
032-578-5454 2
 
3.3%
032-583-0160 2
 
3.3%
032-585-0684 2
 
3.3%
032-870-6710 1
 
1.7%
02-2072-6000 1
 
1.7%
032-573-5555 1
 
1.7%
032-570-1600 1
 
1.7%
032-578-8130 1
 
1.7%
032-550-9233 1
 
1.7%
Other values (46) 46
76.7%
2023-12-13T06:01:57.014032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 131
18.2%
- 120
16.7%
2 84
11.7%
3 83
11.5%
5 81
11.2%
7 57
7.9%
1 48
 
6.7%
8 42
 
5.8%
6 30
 
4.2%
4 29
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 600
83.3%
Dash Punctuation 120
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 131
21.8%
2 84
14.0%
3 83
13.8%
5 81
13.5%
7 57
9.5%
1 48
 
8.0%
8 42
 
7.0%
6 30
 
5.0%
4 29
 
4.8%
9 15
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 131
18.2%
- 120
16.7%
2 84
11.7%
3 83
11.5%
5 81
11.2%
7 57
7.9%
1 48
 
6.7%
8 42
 
5.8%
6 30
 
4.2%
4 29
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 131
18.2%
- 120
16.7%
2 84
11.7%
3 83
11.5%
5 81
11.2%
7 57
7.9%
1 48
 
6.7%
8 42
 
5.8%
6 30
 
4.2%
4 29
 
4.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
Minimum2023-09-30 00:00:00
Maximum2023-09-30 00:00:00
2023-12-13T06:01:57.137684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:01:57.236340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T06:01:53.793260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:01:57.309289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번회사명대표주소생산품전화번호
연번1.0000.9910.9360.8250.958
회사명0.9911.0000.9900.9120.994
대표주소0.9360.9901.0000.9901.000
생산품0.8250.9120.9901.0000.982
전화번호0.9580.9941.0000.9821.000

Missing values

2023-12-13T06:01:53.947781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:01:54.102635image/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

연번회사명대표주소생산품전화번호데이터기준일자
01(주)TPC메카트로닉스인천광역시 서구 백범로603번길 24 (가좌동, A동)에어실린더,솔레노이드밸브,FRL등032-573-55552023-09-30
12(주)TPC메카트로닉스인천광역시 서구 갑문2로 39(오류동)직교로봇, 리니어로봇, 갠트리 스테이지, 3D프린터032-580-06052023-09-30
23(주)경신 인천공장인천광역시 서구 가좌동 538-3번지자동차배선 조립032-580-72322023-09-30
34(주)경인양행인천광역시 서구 건지로 199 (석남동, (주)경인양행인천공장A동) 외 4필지염료032-571-74982023-09-30
45(주)동진쎄미켐인천광역시 서구 백범로 644 (가좌동, 2동)발포제 EMC 멜라민032-578-50912023-09-30
56(주)듀오백인천광역시 서구 가재울로32번길 27 (가좌동)의자032-816-48142023-09-30
67(주)디에이치라이팅인천광역시 서구 북항로178번길 68-25 (원창동)자동차용할로겐전구032-819-03552023-09-30
78(주)리팩인천광역시 서구 가재울로 27 (가좌동, B동)자동포장기,산업용로봇032-583-99042023-09-30
89(주)머큐리인천광역시 서구 가재울로 90 (가좌동, 1동)광케이블, 속도계, 전산계032-580-36322023-09-30
910(주)명진커넥터인천광역시 서구 도담1로 8 (오류동)도금032-812-45882023-09-30
연번회사명대표주소생산품전화번호데이터기준일자
5051태웅I&M인천광역시 서구 보듬8로 18 (오류동) 외 1필지금형제조032-674-05412023-09-30
5152한국훼스토(주)인천광역시 서구 원전로 68 (경서동)공압 실린더 밸브02-850-71102023-09-30
5253한미반도체(주)인천광역시 서구 가좌로30번길 14 (가좌동, 4동) 외 1필지반도체 제조용 자동화 장비032-580-15332023-09-30
5354한미반도체(주)-2인천광역시 서구 가좌로 19 (가좌동) 외 1필지반도체 제조용 자동화 장비032-571-91002023-09-30
5455한미반도체(주)4공장인천광역시 서구 백범로 627 (가좌동)반도체 제조용 자동화 장비032-571-91002023-09-30
5556한일튜브(주)인천광역시 서구 원전로 17 (경서동)자동차브레이크,연료파이프032-562-24512023-09-30
5657핸즈코퍼레이션(주)인천광역시 서구 가정로37번길 50 (가좌동) (총 2 필지) 외 1필지자동차부품(알로히휠)032-581-00762023-09-30
5758핸즈코퍼레이션(주)인천광역시 서구 백범로 854 (가좌동) (총 3 필지) 외 2필지자동차부품032-870-67102023-09-30
5859현대무벡스(주)인천광역시 서구 파랑로466번길 15 (청라동)물류자동화장비 외, 공장자동화 제어기계, 산업처리 자동제어장비02-2072-60002023-09-30
5960현우산업(주)인천광역시 서구 검단로 51 (오류동)인쇄회로기판032-720-13252023-09-30