Overview

Dataset statistics

Number of variables7
Number of observations84
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory58.6 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description인천광역시 건설엔지니어링 업체 등록 리스트 현황으로 업체명 등록번호 대표자명 등록일자 전문분야 세부분야 업무범위에 대한 데이터를 제공합니다
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103256&srcSe=7661IVAWM27C61E190

Alerts

세부분야 is highly overall correlated with 전문분야High correlation
전문분야 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 전문분야High correlation
전문분야 is highly imbalanced (62.9%)Imbalance
연번 has unique valuesUnique
등록번호 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:05:06.840780
Analysis finished2024-03-13 06:05:07.621082
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.5
Minimum1
Maximum84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-03-13T15:05:07.691034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median42.5
Q363.25
95-th percentile79.85
Maximum84
Range83
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation24.392622
Coefficient of variation (CV)0.57394404
Kurtosis-1.2
Mean42.5
Median Absolute Deviation (MAD)21
Skewness0
Sum3570
Variance595
MonotonicityStrictly increasing
2024-03-13T15:05:07.817972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (74) 74
88.1%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%

등록번호
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-03-13T15:05:08.095792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.0833333
Min length6

Characters and Unicode

Total characters595
Distinct characters13
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

Unique84 ?
Unique (%)100.0%

Sample

1st row인천-2-1
2nd row인천-2-2
3rd row인천-2-3
4th row인천-2-6
5th row인천-2-8
ValueCountFrequency (%)
인천-2-1 1
 
1.2%
인천-2-91 1
 
1.2%
인천-2-101 1
 
1.2%
인천-2-100 1
 
1.2%
인천-2-99 1
 
1.2%
인천-2-98 1
 
1.2%
인천-2-97 1
 
1.2%
인천-2-96 1
 
1.2%
인천-2-95 1
 
1.2%
인천-2-93 1
 
1.2%
Other values (74) 74
88.1%
2024-03-13T15:05:08.499001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 168
28.2%
2 94
15.8%
인 84
14.1%
천 84
14.1%
1 41
 
6.9%
3 20
 
3.4%
6 19
 
3.2%
9 18
 
3.0%
0 15
 
2.5%
5 14
 
2.4%
Other values (3) 38
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 259
43.5%
Dash Punctuation 168
28.2%
Other Letter 168
28.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 94
36.3%
1 41
15.8%
3 20
 
7.7%
6 19
 
7.3%
9 18
 
6.9%
0 15
 
5.8%
5 14
 
5.4%
8 13
 
5.0%
4 13
 
5.0%
7 12
 
4.6%
Other Letter
ValueCountFrequency (%)
인 84
50.0%
천 84
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 427
71.8%
Hangul 168
 
28.2%

Most frequent character per script

Common
ValueCountFrequency (%)
- 168
39.3%
2 94
22.0%
1 41
 
9.6%
3 20
 
4.7%
6 19
 
4.4%
9 18
 
4.2%
0 15
 
3.5%
5 14
 
3.3%
8 13
 
3.0%
4 13
 
3.0%
Hangul
ValueCountFrequency (%)
인 84
50.0%
천 84
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 427
71.8%
Hangul 168
 
28.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 168
39.3%
2 94
22.0%
1 41
 
9.6%
3 20
 
4.7%
6 19
 
4.4%
9 18
 
4.2%
0 15
 
3.5%
5 14
 
3.3%
8 13
 
3.0%
4 13
 
3.0%
Hangul
ValueCountFrequency (%)
인 84
50.0%
천 84
50.0%

업체명
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-03-13T15:05:08.725606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.9047619
Min length5

Characters and Unicode

Total characters832
Distinct characters156
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)100.0%

Sample

1st row(주)승우엔지니어링
2nd row일진인터내셔날㈜
3rd row(주)단에이앤씨종합건축사사무소
4th row(주)고산엔지니어링
5th row(주)태원종합기술단건축사사무소
ValueCountFrequency (%)
주식회사 9
 
9.0%
인천 2
 
2.0%
주)승우엔지니어링 1
 
1.0%
주식회사케이씨티엔지니어링 1
 
1.0%
정원도시안전진단㈜ 1
 
1.0%
디엘건설 1
 
1.0%
주식회사신기원이앤씨 1
 
1.0%
주식회사탑이엔씨(진행중 1
 
1.0%
주식회사성학건축사무소 1
 
1.0%
주식회사세움이앤씨 1
 
1.0%
Other values (81) 81
81.0%
2024-03-13T15:05:09.086707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 55
 
6.6%
사 47
 
5.6%
( 41
 
4.9%
) 41
 
4.9%
지 38
 
4.6%
엔 33
 
4.0%
이 31
 
3.7%
㈜ 26
 
3.1%
니 25
 
3.0%
어 24
 
2.9%
Other values (146) 471
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 706
84.9%
Open Punctuation 41
 
4.9%
Close Punctuation 41
 
4.9%
Other Symbol 26
 
3.1%
Space Separator 16
 
1.9%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 55
 
7.8%
사 47
 
6.7%
지 38
 
5.4%
엔 33
 
4.7%
이 31
 
4.4%
니 25
 
3.5%
어 24
 
3.4%
링 24
 
3.4%
씨 20
 
2.8%
건 18
 
2.5%
Other values (140) 391
55.4%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
88.0%
Common 100
 
12.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 55
 
7.5%
사 47
 
6.4%
지 38
 
5.2%
엔 33
 
4.5%
이 31
 
4.2%
㈜ 26
 
3.6%
니 25
 
3.4%
어 24
 
3.3%
링 24
 
3.3%
씨 20
 
2.7%
Other values (141) 409
55.9%
Common
ValueCountFrequency (%)
( 41
41.0%
) 41
41.0%
16
 
16.0%
1 1
 
1.0%
2 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 706
84.9%
ASCII 100
 
12.0%
None 26
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 55
 
7.8%
사 47
 
6.7%
지 38
 
5.4%
엔 33
 
4.7%
이 31
 
4.4%
니 25
 
3.5%
어 24
 
3.4%
링 24
 
3.4%
씨 20
 
2.8%
건 18
 
2.5%
Other values (140) 391
55.4%
ASCII
ValueCountFrequency (%)
( 41
41.0%
) 41
41.0%
16
 
16.0%
1 1
 
1.0%
2 1
 
1.0%
None
ValueCountFrequency (%)
㈜ 26
100.0%

전문분야
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size804.0 B
설계사업관리
78 
품질검사
 
6

Length

Max length6
Median length6
Mean length5.8571429
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
설계사업관리 78
92.9%
품질검사 6
 
7.1%

Length

2024-03-13T15:05:09.259099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:05:09.407997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
설계사업관리 78
92.9%
품질검사 6
 
7.1%

세부분야
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size804.0 B
일반
32 
설계등용역
25 
건설사업관리
14 
측량
7 
특수
4 

Length

Max length6
Median length2
Mean length3.6547619
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 32
38.1%
설계등용역 25
29.8%
건설사업관리 14
16.7%
측량 7
 
8.3%
특수 4
 
4.8%
일반, 특수 2
 
2.4%

Length

2024-03-13T15:05:09.515488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:05:09.641019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 34
39.5%
설계등용역 25
29.1%
건설사업관리 14
16.3%
측량 7
 
8.1%
특수 6
 
7.0%

대표자
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-03-13T15:05:09.893287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.202381
Min length2

Characters and Unicode

Total characters269
Distinct characters98
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

Unique84 ?
Unique (%)100.0%

Sample

1st row배수진
2nd row류황범
3rd row박규석
4th row박범섭
5th row양철웅
ValueCountFrequency (%)
배수진 1
 
1.2%
원호연 1
 
1.2%
박유신 1
 
1.2%
양해익 1
 
1.2%
안미섭 1
 
1.2%
주성진 1
 
1.2%
김은수 1
 
1.2%
조용량 1
 
1.2%
홍진표 1
 
1.2%
최태욱 1
 
1.2%
Other values (74) 74
88.1%
2024-03-13T15:05:10.298615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 19
 
7.1%
이 14
 
5.2%
종 8
 
3.0%
규 7
 
2.6%
정 7
 
2.6%
호 7
 
2.6%
진 6
 
2.2%
수 6
 
2.2%
원 6
 
2.2%
박 6
 
2.2%
Other values (88) 183
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 269
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 19
 
7.1%
이 14
 
5.2%
종 8
 
3.0%
규 7
 
2.6%
정 7
 
2.6%
호 7
 
2.6%
진 6
 
2.2%
수 6
 
2.2%
원 6
 
2.2%
박 6
 
2.2%
Other values (88) 183
68.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 269
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 19
 
7.1%
이 14
 
5.2%
종 8
 
3.0%
규 7
 
2.6%
정 7
 
2.6%
호 7
 
2.6%
진 6
 
2.2%
수 6
 
2.2%
원 6
 
2.2%
박 6
 
2.2%
Other values (88) 183
68.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 269
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 19
 
7.1%
이 14
 
5.2%
종 8
 
3.0%
규 7
 
2.6%
정 7
 
2.6%
호 7
 
2.6%
진 6
 
2.2%
수 6
 
2.2%
원 6
 
2.2%
박 6
 
2.2%
Other values (88) 183
68.0%

소재지
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-03-13T15:05:10.504815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length39.5
Mean length31.630952
Min length18

Characters and Unicode

Total characters2657
Distinct characters198
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

Unique84 ?
Unique (%)100.0%

Sample

1st row인천 부평구 청천동 440-4 남광센트렉스 603호
2nd row인천 남동구 미래로 21 521호(구월동)
3rd row인천 미추홀구 학익소로 66, 5층 502호(학익동, 선정빌딩)
4th row인천 연수구 벚꽃로 106, 603(청학동, 연수광장프라자)
5th row인천 서구 승학로 209 태원빌딩(심곡동)
ValueCountFrequency (%)
인천 64
 
13.2%
남동구 37
 
7.6%
인천광역시 20
 
4.1%
연수구 16
 
3.3%
서구 12
 
2.5%
부평구 9
 
1.9%
남구 4
 
0.8%
남광센트렉스 4
 
0.8%
선수촌공원로 4
 
0.8%
비동 4
 
0.8%
Other values (268) 310
64.0%
2024-03-13T15:05:10.849716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
402
 
15.1%
동 130
 
4.9%
구 110
 
4.1%
, 108
 
4.1%
인 94
 
3.5%
천 92
 
3.5%
1 86
 
3.2%
로 86
 
3.2%
) 79
 
3.0%
( 79
 
3.0%
Other values (188) 1391
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1490
56.1%
Decimal Number 475
 
17.9%
Space Separator 402
 
15.1%
Other Punctuation 109
 
4.1%
Close Punctuation 79
 
3.0%
Open Punctuation 79
 
3.0%
Dash Punctuation 18
 
0.7%
Uppercase Letter 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 130
 
8.7%
구 110
 
7.4%
인 94
 
6.3%
천 92
 
6.2%
로 86
 
5.8%
남 50
 
3.4%
호 49
 
3.3%
수 38
 
2.6%
층 32
 
2.1%
시 28
 
1.9%
Other values (167) 781
52.4%
Decimal Number
ValueCountFrequency (%)
1 86
18.1%
0 70
14.7%
3 65
13.7%
2 53
11.2%
6 47
9.9%
4 47
9.9%
5 38
8.0%
9 25
 
5.3%
8 25
 
5.3%
7 19
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
R 1
20.0%
B 1
20.0%
E 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 108
99.1%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1490
56.1%
Common 1162
43.7%
Latin 5
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 130
 
8.7%
구 110
 
7.4%
인 94
 
6.3%
천 92
 
6.2%
로 86
 
5.8%
남 50
 
3.4%
호 49
 
3.3%
수 38
 
2.6%
층 32
 
2.1%
시 28
 
1.9%
Other values (167) 781
52.4%
Common
ValueCountFrequency (%)
402
34.6%
, 108
 
9.3%
1 86
 
7.4%
) 79
 
6.8%
( 79
 
6.8%
0 70
 
6.0%
3 65
 
5.6%
2 53
 
4.6%
6 47
 
4.0%
4 47
 
4.0%
Other values (6) 126
 
10.8%
Latin
ValueCountFrequency (%)
A 1
20.0%
C 1
20.0%
R 1
20.0%
B 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1490
56.1%
ASCII 1167
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
402
34.4%
, 108
 
9.3%
1 86
 
7.4%
) 79
 
6.8%
( 79
 
6.8%
0 70
 
6.0%
3 65
 
5.6%
2 53
 
4.5%
6 47
 
4.0%
4 47
 
4.0%
Other values (11) 131
 
11.2%
Hangul
ValueCountFrequency (%)
동 130
 
8.7%
구 110
 
7.4%
인 94
 
6.3%
천 92
 
6.2%
로 86
 
5.8%
남 50
 
3.4%
호 49
 
3.3%
수 38
 
2.6%
층 32
 
2.1%
시 28
 
1.9%
Other values (167) 781
52.4%

Interactions

2024-03-13T15:05:07.362866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T15:05:10.948102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번등록번호업체명전문분야세부분야대표자소재지
연번1.0001.0001.0000.9270.6811.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.000
업체명1.0001.0001.0001.0001.0001.0001.000
전문분야0.9271.0001.0001.0001.0001.0001.000
세부분야0.6811.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
2024-03-13T15:05:11.053272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부분야전문분야
세부분야1.0000.975
전문분야0.9751.000
2024-03-13T15:05:11.130205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전문분야세부분야
연번1.0000.7340.432
전문분야0.7341.0000.975
세부분야0.4320.9751.000

Missing values

2024-03-13T15:05:07.456516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:05:07.576370image/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

연번등록번호업체명전문분야세부분야대표자소재지
01인천-2-1(주)승우엔지니어링설계사업관리일반배수진인천 부평구 청천동 440-4 남광센트렉스 603호
12인천-2-2일진인터내셔날㈜설계사업관리일반류황범인천 남동구 미래로 21 521호(구월동)
23인천-2-3(주)단에이앤씨종합건축사사무소설계사업관리일반박규석인천 미추홀구 학익소로 66, 5층 502호(학익동, 선정빌딩)
34인천-2-6(주)고산엔지니어링설계사업관리일반박범섭인천 연수구 벚꽃로 106, 603(청학동, 연수광장프라자)
45인천-2-8(주)태원종합기술단건축사사무소설계사업관리일반양철웅인천 서구 승학로 209 태원빌딩(심곡동)
56인천-2-11(주)장원설계사업관리일반장양훈인천 남동구 담방서로 3번길 3 (만수동)
67인천-2-12(주)대한설계사업관리일반이진홍설영만인천 남동구 인주대로591번길 64, 410호(구월동, 타원벨라움)
78인천-2-14(주)한승엔지니어링설계사업관리일반은종철인천 남동구 소래로 636, 삼성빌딩 4층(만수동)
89인천-2-15(주)한서설계사업관리일반윤호중이규택인천 남동구 구월남로 148, 503호
910인천-2-16(주)백림종합건축사사무소설계사업관리일반이명진인천 미추홀구 주안로 86, 10층 1001호(주안동, 우신주안빌딩)
연번등록번호업체명전문분야세부분야대표자소재지
7475인천-2-115㈜우호이앤씨설계사업관리설계등용역우재호인천광역시 남동구 남동서로 249, 3층(논현동)
7576인천-2-116㈜성우엔지니어링종합건축사사무소설계사업관리일반황인철최원섭인천광역시 연수구 송도미래로 30, 다동 1807호(송도동, 스마트밸리지식산업센터)
7677인천-2-117㈜동서이엔지설계사업관리설계등용역윤성인천광역시 남동구 구월남로 117, 303호(구월동, 가주프라자)
7778인천-2-118㈜청암엔지니어링설계사업관리설계등용역이용래인천광역시 남동구 선수촌공원로23번길 11, 4층 405호(구월동)
7879인천-3-1비티이엔씨㈜품질검사특수김대권인천 남동구 장승로 62, 2층(만수동)
7980인천-3-2(재)한국화학융합시험연구원 인천품질검사일반, 특수김현철인천 서구 가재울로 68(가좌동)
8081인천-3-3㈜에이피엔 인천출장소품질검사특수정태화인천 남동구 함박뫼로 377번길 35 신관3층(인천출장소)
8182인천-3-4에너지테크㈜ 인천지사품질검사특수김흥규인천광역시 남동구 예술로 362번길 1, 2층 (간석동)
8283인천-3-5에이원기술검사품질검사특수박덕영인천광역시 서구 승학로299번길 3, 2층(연희동, 에이원빌딩)
8384인천-3-6(재)한국건설생활환경시험연구원 인천품질검사일반, 특수조영태인천광역시 남동구 담방로 85(만수동)