Overview

Dataset statistics

Number of variables9
Number of observations595
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows1
Duplicate rows (%)0.2%
Total size in memory42.0 KiB
Average record size in memory72.2 B

Variable types

Categorical5
Text3
DateTime1

Dataset

Description소방시설 공사를 위한 인천광역시 관내 소방시설 공사업, 감리업, 설계업, 방염업체 현황입니다.소방시설 공사 전 업체 확인을 위한 자료입니다.
Author인천광역시
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15045306&srcSe=7661IVAWM27C61E190

Alerts

지역 has constant value ""Constant
Dataset has 1 (0.2%) duplicate rowsDuplicates
세부지역 is highly overall correlated with 폐업여부High correlation
분야 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly overall correlated with 분야 and 1 other fieldsHigh correlation
폐업여부 is highly overall correlated with 세부지역 and 2 other fieldsHigh correlation
폐업여부 is highly imbalanced (89.7%)Imbalance

Reproduction

Analysis started2024-04-21 02:03:49.153811
Analysis finished2024-04-21 02:03:50.466543
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
인천
595 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인천 595
100.0%

Length

2024-04-21T11:03:50.580386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:03:50.741150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인천 595
100.0%

세부지역
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
남동구
180 
서구
113 
부평구
90 
미추홀구
60 
계양구
53 
Other values (5)
99 

Length

Max length4
Median length3
Mean length2.8504202
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남동구 180
30.3%
서구 113
19.0%
부평구 90
15.1%
미추홀구 60
 
10.1%
계양구 53
 
8.9%
연수구 45
 
7.6%
동구 25
 
4.2%
강화군 15
 
2.5%
중구 11
 
1.8%
옹진군 3
 
0.5%

Length

2024-04-21T11:03:50.932130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:03:51.181297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 180
30.3%
서구 113
19.0%
부평구 90
15.1%
미추홀구 60
 
10.1%
계양구 53
 
8.9%
연수구 45
 
7.6%
동구 25
 
4.2%
강화군 15
 
2.5%
중구 11
 
1.8%
옹진군 3
 
0.5%

상호
Text

Distinct486
Distinct (%)81.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-21T11:03:51.896420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.5058824
Min length2

Characters and Unicode

Total characters5061
Distinct characters271
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique423 ?
Unique (%)71.1%

Sample

1st row(주)중앙소방이앤지
2nd row(주)중앙소방이앤지
3rd row(주)산에들에
4th row(주)산에들에
5th row(주)태양유니스
ValueCountFrequency (%)
주식회사 129
 
17.4%
주)중앙소방이앤지 6
 
0.8%
두힘 6
 
0.8%
유한책임회사 6
 
0.8%
대한화재안전(주 5
 
0.7%
주)한국소방엔지니어링 5
 
0.7%
주)삼덕엔지니어링 5
 
0.7%
에스디 5
 
0.7%
주)정평이앤씨 5
 
0.7%
주)에스케이방재산업 4
 
0.5%
Other values (484) 564
76.2%
2024-04-21T11:03:52.868677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 543
 
10.7%
( 406
 
8.0%
) 406
 
8.0%
이 216
 
4.3%
사 184
 
3.6%
145
 
2.9%
회 139
 
2.7%
식 131
 
2.6%
엔 128
 
2.5%
지 122
 
2.4%
Other values (261) 2641
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4073
80.5%
Open Punctuation 406
 
8.0%
Close Punctuation 406
 
8.0%
Space Separator 145
 
2.9%
Uppercase Letter 22
 
0.4%
Lowercase Letter 5
 
0.1%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 543
 
13.3%
이 216
 
5.3%
사 184
 
4.5%
회 139
 
3.4%
식 131
 
3.2%
엔 128
 
3.1%
지 122
 
3.0%
방 113
 
2.8%
소 105
 
2.6%
에 86
 
2.1%
Other values (240) 2306
56.6%
Uppercase Letter
ValueCountFrequency (%)
S 4
18.2%
E 4
18.2%
N 3
13.6%
C 3
13.6%
G 3
13.6%
T 1
 
4.5%
M 1
 
4.5%
L 1
 
4.5%
A 1
 
4.5%
J 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
o 1
20.0%
c 1
20.0%
s 1
20.0%
e 1
20.0%
y 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 1
25.0%
& 1
25.0%
Open Punctuation
ValueCountFrequency (%)
( 406
100.0%
Close Punctuation
ValueCountFrequency (%)
) 406
100.0%
Space Separator
ValueCountFrequency (%)
145
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4073
80.5%
Common 961
 
19.0%
Latin 27
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 543
 
13.3%
이 216
 
5.3%
사 184
 
4.5%
회 139
 
3.4%
식 131
 
3.2%
엔 128
 
3.1%
지 122
 
3.0%
방 113
 
2.8%
소 105
 
2.6%
에 86
 
2.1%
Other values (240) 2306
56.6%
Latin
ValueCountFrequency (%)
S 4
14.8%
E 4
14.8%
N 3
11.1%
C 3
11.1%
G 3
11.1%
T 1
 
3.7%
M 1
 
3.7%
L 1
 
3.7%
A 1
 
3.7%
o 1
 
3.7%
Other values (5) 5
18.5%
Common
ValueCountFrequency (%)
( 406
42.2%
) 406
42.2%
145
 
15.1%
. 2
 
0.2%
, 1
 
0.1%
& 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4073
80.5%
ASCII 988
 
19.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 543
 
13.3%
이 216
 
5.3%
사 184
 
4.5%
회 139
 
3.4%
식 131
 
3.2%
엔 128
 
3.1%
지 122
 
3.0%
방 113
 
2.8%
소 105
 
2.6%
에 86
 
2.1%
Other values (240) 2306
56.6%
ASCII
ValueCountFrequency (%)
( 406
41.1%
) 406
41.1%
145
 
14.7%
S 4
 
0.4%
E 4
 
0.4%
N 3
 
0.3%
C 3
 
0.3%
G 3
 
0.3%
. 2
 
0.2%
T 1
 
0.1%
Other values (11) 11
 
1.1%

대표자
Text

Distinct481
Distinct (%)80.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-21T11:03:54.449478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9915966
Min length2

Characters and Unicode

Total characters1780
Distinct characters171
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

Unique413 ?
Unique (%)69.4%

Sample

1st row김정섭
2nd row김정섭
3rd row한정숙
4th row한정숙
5th row배종배
ValueCountFrequency (%)
김정섭 6
 
1.0%
황병우 6
 
1.0%
김경진 5
 
0.8%
정진환 5
 
0.8%
장은경 5
 
0.8%
남연수 5
 
0.8%
권혁진 5
 
0.8%
정일훈 4
 
0.7%
황용희 4
 
0.7%
고정근 4
 
0.7%
Other values (471) 546
91.8%
2024-04-21T11:03:56.360479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 133
 
7.5%
이 78
 
4.4%
정 73
 
4.1%
진 51
 
2.9%
박 48
 
2.7%
수 42
 
2.4%
영 38
 
2.1%
호 31
 
1.7%
상 30
 
1.7%
용 30
 
1.7%
Other values (161) 1226
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1780
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 133
 
7.5%
이 78
 
4.4%
정 73
 
4.1%
진 51
 
2.9%
박 48
 
2.7%
수 42
 
2.4%
영 38
 
2.1%
호 31
 
1.7%
상 30
 
1.7%
용 30
 
1.7%
Other values (161) 1226
68.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1780
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 133
 
7.5%
이 78
 
4.4%
정 73
 
4.1%
진 51
 
2.9%
박 48
 
2.7%
수 42
 
2.4%
영 38
 
2.1%
호 31
 
1.7%
상 30
 
1.7%
용 30
 
1.7%
Other values (161) 1226
68.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1780
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 133
 
7.5%
이 78
 
4.4%
정 73
 
4.1%
진 51
 
2.9%
박 48
 
2.7%
수 42
 
2.4%
영 38
 
2.1%
호 31
 
1.7%
상 30
 
1.7%
용 30
 
1.7%
Other values (161) 1226
68.9%

주소
Text

Distinct483
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-04-21T11:03:57.925578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length59
Mean length41.159664
Min length28

Characters and Unicode

Total characters24490
Distinct characters336
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

Unique417 ?
Unique (%)70.1%

Sample

1st row(21316) 인천광역시 부평구 부평대로 296 (갈산동 158)
2nd row(21316) 인천광역시 부평구 부평대로 296 (갈산동 158)
3rd row(21404) 인천광역시 부평구 경원대로 1424 (부평동)
4th row(21404) 인천광역시 부평구 경원대로 1424 (부평동)
5th row(21389) 인천광역시 부평구 경원대로1377번길 14 (부평동,파레스오피스텔)2층
ValueCountFrequency (%)
인천광역시 592
 
14.0%
192
 
4.5%
남동구 180
 
4.3%
서구 113
 
2.7%
부평구 90
 
2.1%
미추홀구 60
 
1.4%
계양구 53
 
1.3%
연수구 45
 
1.1%
동구 25
 
0.6%
30 23
 
0.5%
Other values (1442) 2847
67.5%
2024-04-21T11:04:00.149252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3699
 
15.1%
2 1476
 
6.0%
( 1173
 
4.8%
) 1173
 
4.8%
1 1151
 
4.7%
동 915
 
3.7%
3 692
 
2.8%
구 663
 
2.7%
인 660
 
2.7%
천 643
 
2.6%
Other values (326) 12245
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11435
46.7%
Decimal Number 6312
25.8%
Space Separator 3699
 
15.1%
Open Punctuation 1173
 
4.8%
Close Punctuation 1173
 
4.8%
Other Punctuation 536
 
2.2%
Dash Punctuation 127
 
0.5%
Uppercase Letter 29
 
0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 915
 
8.0%
구 663
 
5.8%
인 660
 
5.8%
천 643
 
5.6%
시 603
 
5.3%
광 597
 
5.2%
역 594
 
5.2%
로 589
 
5.2%
호 327
 
2.9%
길 272
 
2.4%
Other values (297) 5572
48.7%
Decimal Number
ValueCountFrequency (%)
2 1476
23.4%
1 1151
18.2%
3 692
11.0%
0 633
10.0%
6 496
 
7.9%
5 487
 
7.7%
4 453
 
7.2%
7 345
 
5.5%
9 305
 
4.8%
8 274
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 13
44.8%
L 4
 
13.8%
A 3
 
10.3%
E 2
 
6.9%
C 2
 
6.9%
R 1
 
3.4%
J 1
 
3.4%
F 1
 
3.4%
D 1
 
3.4%
Y 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
a 2
33.3%
t 2
33.3%
Other Punctuation
ValueCountFrequency (%)
, 525
97.9%
. 11
 
2.1%
Space Separator
ValueCountFrequency (%)
3699
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1173
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1173
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13020
53.2%
Hangul 11435
46.7%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 915
 
8.0%
구 663
 
5.8%
인 660
 
5.8%
천 643
 
5.6%
시 603
 
5.3%
광 597
 
5.2%
역 594
 
5.2%
로 589
 
5.2%
호 327
 
2.9%
길 272
 
2.4%
Other values (297) 5572
48.7%
Common
ValueCountFrequency (%)
3699
28.4%
2 1476
 
11.3%
( 1173
 
9.0%
) 1173
 
9.0%
1 1151
 
8.8%
3 692
 
5.3%
0 633
 
4.9%
, 525
 
4.0%
6 496
 
3.8%
5 487
 
3.7%
Other values (6) 1515
11.6%
Latin
ValueCountFrequency (%)
B 13
37.1%
L 4
 
11.4%
A 3
 
8.6%
s 2
 
5.7%
a 2
 
5.7%
E 2
 
5.7%
t 2
 
5.7%
C 2
 
5.7%
R 1
 
2.9%
J 1
 
2.9%
Other values (3) 3
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13055
53.3%
Hangul 11435
46.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3699
28.3%
2 1476
 
11.3%
( 1173
 
9.0%
) 1173
 
9.0%
1 1151
 
8.8%
3 692
 
5.3%
0 633
 
4.8%
, 525
 
4.0%
6 496
 
3.8%
5 487
 
3.7%
Other values (19) 1550
11.9%
Hangul
ValueCountFrequency (%)
동 915
 
8.0%
구 663
 
5.8%
인 660
 
5.8%
천 643
 
5.6%
시 603
 
5.3%
광 597
 
5.2%
역 594
 
5.2%
로 589
 
5.2%
호 327
 
2.9%
길 272
 
2.4%
Other values (297) 5572
48.7%

업종
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
공사업
385 
설계업
98 
방염업
60 
감리업
52 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공사업 385
64.7%
설계업 98
 
16.5%
방염업 60
 
10.1%
감리업 52
 
8.7%

Length

2024-04-21T11:04:00.554937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:04:00.871214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공사업 385
64.7%
설계업 98
 
16.5%
방염업 60
 
10.1%
감리업 52
 
8.7%

분야
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
전문
405 
일반(전기)
68 
일반(기계)
60 
합판목재류
41 
합성수지류
 
18
Other values (2)
 
3

Length

Max length40
Median length2
Mean length3.287395
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row일반(기계)
2nd row일반(전기)
3rd row일반(기계)
4th row일반(전기)
5th row전문

Common Values

ValueCountFrequency (%)
전문 405
68.1%
일반(전기) 68
 
11.4%
일반(기계) 60
 
10.1%
합판목재류 41
 
6.9%
합성수지류 18
 
3.0%
전문,전문,일반(전기),일반(전기),일반(기계),일반(기계),일반(기계) 2
 
0.3%
섬유류 1
 
0.2%

Length

2024-04-21T11:04:01.260643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:04:01.614315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전문 405
68.1%
일반(전기 68
 
11.4%
일반(기계 60
 
10.1%
합판목재류 41
 
6.9%
합성수지류 18
 
3.0%
전문,전문,일반(전기),일반(전기),일반(기계),일반(기계),일반(기계 2
 
0.3%
섬유류 1
 
0.2%

등록일자
Date

Distinct460
Distinct (%)77.6%
Missing2
Missing (%)0.3%
Memory size4.8 KiB
Minimum1991-05-31 00:00:00
Maximum2023-02-27 00:00:00
2024-04-21T11:04:01.998234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:04:02.407411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

폐업여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
<NA>
587 
휴업
 
8

Length

Max length4
Median length4
Mean length3.9731092
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 587
98.7%
휴업 8
 
1.3%

Length

2024-04-21T11:04:02.837009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:04:03.168854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 587
98.7%
휴업 8
 
1.3%

Correlations

2024-04-21T11:04:03.346156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부지역업종분야
세부지역1.0000.2280.183
업종0.2281.0000.824
분야0.1830.8241.000
2024-04-21T11:04:03.589649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부지역분야업종폐업여부
세부지역1.0000.0930.1371.000
분야0.0931.0000.7321.000
업종0.1370.7321.0001.000
폐업여부1.0001.0001.0001.000
2024-04-21T11:04:03.842435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부지역업종분야폐업여부
세부지역1.0000.1370.0931.000
업종0.1371.0000.7321.000
분야0.0930.7321.0001.000
폐업여부1.0001.0001.0001.000

Missing values

2024-04-21T11:03:50.121415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:03:50.366829image/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

지역세부지역상호대표자주소업종분야등록일자폐업여부
0인천부평구(주)중앙소방이앤지김정섭(21316) 인천광역시 부평구 부평대로 296 (갈산동 158)감리업일반(기계)2003-02-19<NA>
1인천부평구(주)중앙소방이앤지김정섭(21316) 인천광역시 부평구 부평대로 296 (갈산동 158)감리업일반(전기)2003-02-19<NA>
2인천부평구(주)산에들에한정숙(21404) 인천광역시 부평구 경원대로 1424 (부평동)감리업일반(기계)2011-09-23<NA>
3인천부평구(주)산에들에한정숙(21404) 인천광역시 부평구 경원대로 1424 (부평동)감리업일반(전기)2011-09-23<NA>
4인천부평구(주)태양유니스배종배(21389) 인천광역시 부평구 경원대로1377번길 14 (부평동,파레스오피스텔)2층감리업전문2011-06-09<NA>
5인천서구(주)한국소방엔지니어링권혁진(22636) 인천광역시 서구 완정로 163 (왕길동,트리플타워)12층감리업전문2008-01-16<NA>
6인천연수구(주)포스코에이앤씨건축사사무소김동근(21998) 인천광역시 연수구 컨벤시아대로 165 ,24층(송도동, 포스코타워송도)감리업전문2015-04-27<NA>
7인천남동구(주)천일이앤씨이광우(21632) 인천광역시 남동구 남동대로239번길 72-20 , 204호, 205-1호 (논현동, 두레비지니스센터)감리업전문2017-06-26<NA>
8인천남동구(주)청우소방이엔씨서창배(21588) 인천광역시 남동구 호구포로 746 (구월동) 4층감리업전문2020-12-18<NA>
9인천계양구세영엔지니어링(주)양청석(21060) 인천광역시 계양구 계산새로 71 에이동 1114호(계산동, 하이베라스빌딩)감리업전문2008-08-19<NA>
지역세부지역상호대표자주소업종분야등록일자폐업여부
585인천부평구(주)비와이엔지니어링김보연(21358) 인천광역시 부평구 부평대로 138 , 1210호(부평동, 신일유스테이션 오피스텔)설계업일반(기계)2022-07-21<NA>
586인천부평구(주)비와이엔지니어링김보연(21358) 인천광역시 부평구 부평대로 138 , 1210호(부평동, 신일유스테이션 오피스텔)설계업일반(전기)2022-07-21<NA>
587인천연수구제이에스디앤피 주식회사이상혁(21984) 인천광역시 연수구 송도과학로16번길 13-18 , 712호(송도동, 송도테크노큐브)설계업일반(기계)2022-07-21<NA>
588인천연수구제이에스디앤피 주식회사이상혁(21984) 인천광역시 연수구 송도과학로16번길 13-18 , 712호(송도동, 송도테크노큐브)설계업일반(전기)2022-07-21<NA>
589인천남동구은성 엔지니어링신성순(21559) 인천광역시 남동구 문화서로 76 , 301호(구월동)설계업일반(기계)2022-08-10<NA>
590인천남동구주식회사 도담설계사무소맹대진(21524) 인천광역시 남동구 만수서로 60 , 304호 (만수동,향촌 필러스프라자)설계업일반(기계)2022-09-22<NA>
591인천남동구주식회사 도담설계사무소맹대진(21524) 인천광역시 남동구 만수서로 60 , 304호 (만수동,향촌 필러스프라자)설계업일반(전기)2022-09-22<NA>
592인천남동구엘케이이엔지황찬순(21553) 인천광역시 남동구 구월로50번길 6 , 3층 301호(간석동)설계업일반(기계)2022-12-21<NA>
593인천남동구엘케이이엔지황찬순(21553) 인천광역시 남동구 구월로50번길 6 , 3층 301호(간석동)설계업일반(전기)2022-12-21<NA>
594인천남동구윤전테크 주식회사고광훈(21694) 인천광역시 남동구 남동동로63번길 41 (고잔동)설계업전문2023-01-31<NA>

Duplicate rows

Most frequently occurring

지역세부지역상호대표자주소업종분야등록일자폐업여부# duplicates
0인천서구대한화재안전(주)정진환(22709) 인천광역시 서구 경명대로 704 (공촌동)설계업전문,전문,일반(전기),일반(전기),일반(기계),일반(기계),일반(기계)<NA>휴업2