Overview

Dataset statistics

Number of variables6
Number of observations756
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.3 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description서울특별시 금천구 전문건설업 현황에 대한 데이터로 업체명, 대표자, 업종, 도로명주소, 데이터기준일자 등을 제공합니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15126575/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:09:32.401052
Analysis finished2024-03-14 12:09:33.943359
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct756
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378.5
Minimum1
Maximum756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.8 KiB
2024-03-14T21:09:34.153111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile38.75
Q1189.75
median378.5
Q3567.25
95-th percentile718.25
Maximum756
Range755
Interquartile range (IQR)377.5

Descriptive statistics

Standard deviation218.38269
Coefficient of variation (CV)0.5769688
Kurtosis-1.2
Mean378.5
Median Absolute Deviation (MAD)189
Skewness0
Sum286146
Variance47691
MonotonicityStrictly increasing
2024-03-14T21:09:34.604585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
510 1
 
0.1%
501 1
 
0.1%
502 1
 
0.1%
503 1
 
0.1%
504 1
 
0.1%
505 1
 
0.1%
506 1
 
0.1%
507 1
 
0.1%
508 1
 
0.1%
Other values (746) 746
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
756 1
0.1%
755 1
0.1%
754 1
0.1%
753 1
0.1%
752 1
0.1%
751 1
0.1%
750 1
0.1%
749 1
0.1%
748 1
0.1%
747 1
0.1%

업체명
Text

Distinct606
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-03-14T21:09:35.859565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length8.260582
Min length2

Characters and Unicode

Total characters6245
Distinct characters344
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique496 ?
Unique (%)65.6%

Sample

1st row(유)영이엔씨
2nd row(유)영이엔씨
3rd row(유)태광씨엔티
4th row(주)가야환경
5th row(주)가은건설
ValueCountFrequency (%)
대아이앤씨(주 9
 
1.2%
케이에이치건설주식회사(khconstructionco.，ltd 6
 
0.8%
한경건설(주 4
 
0.5%
롯데알미늄(주 4
 
0.5%
주)이도구조엔지니어링 4
 
0.5%
지에스성신건설(주 4
 
0.5%
주)신영아이에스티 4
 
0.5%
주)우룡건설 3
 
0.4%
수진건설산업(주 3
 
0.4%
씨에스이엔지(주 3
 
0.4%
Other values (596) 712
94.2%
2024-03-14T21:09:37.539339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 635
 
10.2%
( 552
 
8.8%
) 552
 
8.8%
이 258
 
4.1%
설 205
 
3.3%
건 164
 
2.6%
스 150
 
2.4%
에 121
 
1.9%
씨 107
 
1.7%
지 104
 
1.7%
Other values (334) 3397
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4957
79.4%
Open Punctuation 552
 
8.8%
Close Punctuation 552
 
8.8%
Lowercase Letter 94
 
1.5%
Uppercase Letter 61
 
1.0%
Other Punctuation 22
 
0.4%
Decimal Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 635
 
12.8%
이 258
 
5.2%
설 205
 
4.1%
건 164
 
3.3%
스 150
 
3.0%
에 121
 
2.4%
씨 107
 
2.2%
지 104
 
2.1%
엔 96
 
1.9%
사 95
 
1.9%
Other values (300) 3022
61.0%
Uppercase Letter
ValueCountFrequency (%)
C 14
23.0%
L 8
13.1%
K 7
11.5%
H 7
11.5%
N 3
 
4.9%
A 3
 
4.9%
O 3
 
4.9%
D 3
 
4.9%
G 3
 
4.9%
E 3
 
4.9%
Other values (5) 7
11.5%
Lowercase Letter
ValueCountFrequency (%)
t 19
20.2%
o 19
20.2%
n 14
14.9%
c 7
 
7.4%
s 7
 
7.4%
i 7
 
7.4%
d 7
 
7.4%
u 6
 
6.4%
r 6
 
6.4%
e 1
 
1.1%
Decimal Number
ValueCountFrequency (%)
1 4
57.1%
2 1
 
14.3%
0 1
 
14.3%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 15
68.2%
， 7
31.8%
Open Punctuation
ValueCountFrequency (%)
( 552
100.0%
Close Punctuation
ValueCountFrequency (%)
) 552
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4957
79.4%
Common 1133
 
18.1%
Latin 155
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 635
 
12.8%
이 258
 
5.2%
설 205
 
4.1%
건 164
 
3.3%
스 150
 
3.0%
에 121
 
2.4%
씨 107
 
2.2%
지 104
 
2.1%
엔 96
 
1.9%
사 95
 
1.9%
Other values (300) 3022
61.0%
Latin
ValueCountFrequency (%)
t 19
12.3%
o 19
12.3%
C 14
 
9.0%
n 14
 
9.0%
L 8
 
5.2%
c 7
 
4.5%
s 7
 
4.5%
K 7
 
4.5%
H 7
 
4.5%
i 7
 
4.5%
Other values (16) 46
29.7%
Common
ValueCountFrequency (%)
( 552
48.7%
) 552
48.7%
. 15
 
1.3%
， 7
 
0.6%
1 4
 
0.4%
2 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4957
79.4%
ASCII 1281
 
20.5%
None 7
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 635
 
12.8%
이 258
 
5.2%
설 205
 
4.1%
건 164
 
3.3%
스 150
 
3.0%
에 121
 
2.4%
씨 107
 
2.2%
지 104
 
2.1%
엔 96
 
1.9%
사 95
 
1.9%
Other values (300) 3022
61.0%
ASCII
ValueCountFrequency (%)
( 552
43.1%
) 552
43.1%
t 19
 
1.5%
o 19
 
1.5%
. 15
 
1.2%
C 14
 
1.1%
n 14
 
1.1%
L 8
 
0.6%
c 7
 
0.5%
s 7
 
0.5%
Other values (23) 74
 
5.8%
None
ValueCountFrequency (%)
， 7
100.0%

대표자
Text

Distinct598
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-03-14T21:09:38.753404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.2089947
Min length2

Characters and Unicode

Total characters2426
Distinct characters187
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique486 ?
Unique (%)64.3%

Sample

1st row이승희
2nd row이승희
3rd row권인숙
4th row김진곤
5th row이의석
ValueCountFrequency (%)
이경,김경수 9
 
1.2%
강정식 6
 
0.8%
박재석 5
 
0.7%
조현철 4
 
0.5%
홍진호 4
 
0.5%
박준구 4
 
0.5%
김용모 4
 
0.5%
전길현 4
 
0.5%
김종은 3
 
0.4%
안영호 3
 
0.4%
Other values (588) 710
93.9%
2024-03-14T21:09:40.067571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 171
 
7.0%
이 114
 
4.7%
영 90
 
3.7%
정 89
 
3.7%
박 70
 
2.9%
수 63
 
2.6%
진 48
 
2.0%
호 48
 
2.0%
성 46
 
1.9%
경 46
 
1.9%
Other values (177) 1641
67.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2376
97.9%
Other Punctuation 39
 
1.6%
Uppercase Letter 8
 
0.3%
Decimal Number 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 171
 
7.2%
이 114
 
4.8%
영 90
 
3.8%
정 89
 
3.7%
박 70
 
2.9%
수 63
 
2.7%
진 48
 
2.0%
호 48
 
2.0%
성 46
 
1.9%
경 46
 
1.9%
Other values (168) 1591
67.0%
Uppercase Letter
ValueCountFrequency (%)
N 3
37.5%
I 2
25.0%
A 1
 
12.5%
R 1
 
12.5%
J 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2376
97.9%
Common 42
 
1.7%
Latin 8
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 171
 
7.2%
이 114
 
4.8%
영 90
 
3.8%
정 89
 
3.7%
박 70
 
2.9%
수 63
 
2.7%
진 48
 
2.0%
호 48
 
2.0%
성 46
 
1.9%
경 46
 
1.9%
Other values (168) 1591
67.0%
Latin
ValueCountFrequency (%)
N 3
37.5%
I 2
25.0%
A 1
 
12.5%
R 1
 
12.5%
J 1
 
12.5%
Common
ValueCountFrequency (%)
, 39
92.9%
1 1
 
2.4%
( 1
 
2.4%
) 1
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2376
97.9%
ASCII 50
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 171
 
7.2%
이 114
 
4.8%
영 90
 
3.8%
정 89
 
3.7%
박 70
 
2.9%
수 63
 
2.7%
진 48
 
2.0%
호 48
 
2.0%
성 46
 
1.9%
경 46
 
1.9%
Other values (168) 1591
67.0%
ASCII
ValueCountFrequency (%)
, 39
78.0%
N 3
 
6.0%
I 2
 
4.0%
A 1
 
2.0%
R 1
 
2.0%
1 1
 
2.0%
( 1
 
2.0%
) 1
 
2.0%
J 1
 
2.0%

업종
Categorical

Distinct13
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
가스난방공사업
144 
기계가스설비공사업
137 
실내건축공사업
94 
지반조성ㆍ포장공사업
64 
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업
61 
Other values (8)
256 

Length

Max length17
Median length13
Mean length9.5185185
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상ㆍ하수도설비공사업
2nd row지반조성ㆍ포장공사업
3rd row상ㆍ하수도설비공사업
4th row상ㆍ하수도설비공사업
5th row철근ㆍ콘크리트공사업

Common Values

ValueCountFrequency (%)
가스난방공사업 144
19.0%
기계가스설비공사업 137
18.1%
실내건축공사업 94
12.4%
지반조성ㆍ포장공사업 64
8.5%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 61
8.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 56
 
7.4%
시설물유지관리업 56
 
7.4%
상ㆍ하수도설비공사업 51
 
6.7%
구조물해체ㆍ비계공사업 30
 
4.0%
철근ㆍ콘크리트공사업 25
 
3.3%
Other values (3) 38
 
5.0%

Length

2024-03-14T21:09:40.477020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
가스난방공사업 144
19.0%
기계가스설비공사업 137
18.1%
실내건축공사업 94
12.4%
지반조성ㆍ포장공사업 64
8.5%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 61
8.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 56
 
7.4%
시설물유지관리업 56
 
7.4%
상ㆍ하수도설비공사업 51
 
6.7%
구조물해체ㆍ비계공사업 30
 
4.0%
철근ㆍ콘크리트공사업 25
 
3.3%
Other values (3) 38
 
5.0%

도로명주소
Text

Distinct609
Distinct (%)80.7%
Missing1
Missing (%)0.1%
Memory size6.0 KiB
2024-03-14T21:09:41.743317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length49
Mean length36.597351
Min length17

Characters and Unicode

Total characters27631
Distinct characters210
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

Unique503 ?
Unique (%)66.6%

Sample

1st row서울특별시 금천구 가산디지털2로 53 1806호 (가산동)
2nd row서울특별시 금천구 가산디지털2로 53 1806호 (가산동)
3rd row서울특별시 금천구 가산디지털1로 83 1106-2호 (가산동)
4th row서울특별시 금천구 가산디지털2로 184, 벽산디지털밸리2차 918호 (가산동)
5th row서울특별시 금천구 가산디지털2로 123,1010호(가산동, 월드메르디앙2차)
ValueCountFrequency (%)
금천구 754
 
15.1%
서울특별시 752
 
15.0%
가산동 333
 
6.7%
시흥동 202
 
4.0%
가산디지털1로 170
 
3.4%
시흥대로 142
 
2.8%
독산동 127
 
2.5%
97 94
 
1.9%
가산디지털2로 93
 
1.9%
62
 
1.2%
Other values (908) 2274
45.5%
2024-03-14T21:09:43.531552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4248
 
15.4%
1 1282
 
4.6%
시 1249
 
4.5%
산 1041
 
3.8%
동 1007
 
3.6%
( 815
 
2.9%
) 812
 
2.9%
가 790
 
2.9%
서 790
 
2.9%
금 782
 
2.8%
Other values (200) 14815
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16037
58.0%
Decimal Number 5128
 
18.6%
Space Separator 4248
 
15.4%
Open Punctuation 815
 
2.9%
Close Punctuation 812
 
2.9%
Other Punctuation 433
 
1.6%
Dash Punctuation 98
 
0.4%
Uppercase Letter 58
 
0.2%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1249
 
7.8%
산 1041
 
6.5%
동 1007
 
6.3%
가 790
 
4.9%
서 790
 
4.9%
금 782
 
4.9%
천 762
 
4.8%
울 756
 
4.7%
구 754
 
4.7%
특 753
 
4.7%
Other values (172) 7353
45.9%
Decimal Number
ValueCountFrequency (%)
1 1282
25.0%
2 734
14.3%
0 686
13.4%
3 488
 
9.5%
4 409
 
8.0%
5 326
 
6.4%
7 323
 
6.3%
9 306
 
6.0%
6 300
 
5.9%
8 274
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 23
39.7%
A 12
20.7%
T 6
 
10.3%
I 5
 
8.6%
C 4
 
6.9%
S 3
 
5.2%
V 2
 
3.4%
K 2
 
3.4%
W 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 384
88.7%
， 45
 
10.4%
. 3
 
0.7%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
4248
100.0%
Open Punctuation
ValueCountFrequency (%)
( 815
100.0%
Close Punctuation
ValueCountFrequency (%)
) 812
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 98
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16037
58.0%
Common 11536
41.8%
Latin 58
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1249
 
7.8%
산 1041
 
6.5%
동 1007
 
6.3%
가 790
 
4.9%
서 790
 
4.9%
금 782
 
4.9%
천 762
 
4.8%
울 756
 
4.7%
구 754
 
4.7%
특 753
 
4.7%
Other values (172) 7353
45.9%
Common
ValueCountFrequency (%)
4248
36.8%
1 1282
 
11.1%
( 815
 
7.1%
) 812
 
7.0%
2 734
 
6.4%
0 686
 
5.9%
3 488
 
4.2%
4 409
 
3.5%
, 384
 
3.3%
5 326
 
2.8%
Other values (9) 1352
 
11.7%
Latin
ValueCountFrequency (%)
B 23
39.7%
A 12
20.7%
T 6
 
10.3%
I 5
 
8.6%
C 4
 
6.9%
S 3
 
5.2%
V 2
 
3.4%
K 2
 
3.4%
W 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16037
58.0%
ASCII 11549
41.8%
None 45
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4248
36.8%
1 1282
 
11.1%
( 815
 
7.1%
) 812
 
7.0%
2 734
 
6.4%
0 686
 
5.9%
3 488
 
4.2%
4 409
 
3.5%
, 384
 
3.3%
5 326
 
2.8%
Other values (17) 1365
 
11.8%
Hangul
ValueCountFrequency (%)
시 1249
 
7.8%
산 1041
 
6.5%
동 1007
 
6.3%
가 790
 
4.9%
서 790
 
4.9%
금 782
 
4.9%
천 762
 
4.8%
울 756
 
4.7%
구 754
 
4.7%
특 753
 
4.7%
Other values (172) 7353
45.9%
None
ValueCountFrequency (%)
， 45
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.0 KiB
2024-02-01
756 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-01
2nd row2024-02-01
3rd row2024-02-01
4th row2024-02-01
5th row2024-02-01

Common Values

ValueCountFrequency (%)
2024-02-01 756
100.0%

Length

2024-03-14T21:09:43.942196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T21:09:44.258675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-01 756
100.0%

Interactions

2024-03-14T21:09:33.099550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T21:09:44.439523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.319
업종0.3191.000
2024-03-14T21:09:44.660891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종
번호1.0000.137
업종0.1371.000

Missing values

2024-03-14T21:09:33.460630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:09:33.807236image/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

번호업체명대표자업종도로명주소데이터기준일자
01(유)영이엔씨이승희상ㆍ하수도설비공사업서울특별시 금천구 가산디지털2로 53 1806호 (가산동)2024-02-01
12(유)영이엔씨이승희지반조성ㆍ포장공사업서울특별시 금천구 가산디지털2로 53 1806호 (가산동)2024-02-01
23(유)태광씨엔티권인숙상ㆍ하수도설비공사업서울특별시 금천구 가산디지털1로 83 1106-2호 (가산동)2024-02-01
34(주)가야환경김진곤상ㆍ하수도설비공사업서울특별시 금천구 가산디지털2로 184, 벽산디지털밸리2차 918호 (가산동)2024-02-01
45(주)가은건설이의석철근ㆍ콘크리트공사업서울특별시 금천구 가산디지털2로 123,1010호(가산동, 월드메르디앙2차)2024-02-01
56(주)강원엔티에스전창열기계가스설비공사업서울특별시 금천구 가산디지털1로 145 에이스하이엔드타워3차 805호 (가산동)2024-02-01
67(주)강원엔티에스전창열가스난방공사업서울특별시 금천구 가산디지털1로 145 에이스하이엔드타워3차 805호 (가산동)2024-02-01
78(주)강희강미숙,정병관도장ㆍ습식ㆍ방수ㆍ석공사업서울특별시 금천구 독산로64길 53 1층1호 (독산동)2024-02-01
89(주)거림디앤아이정윤진시설물유지관리업서울특별시 금천구 서부샛길 534， 3층 318호(가산동, 세계일보)2024-02-01
910(주)거흥산업변영호,조일행철강구조물공사업서울특별시 금천구 가산디지털1로 145 1504호 (가산동)2024-02-01
번호업체명대표자업종도로명주소데이터기준일자
746747형제기업최영찬가스난방공사업서울특별시 금천구 문성로 21 (독산동)2024-02-01
747748홍기종합설비김상환가스난방공사업서울특별시 금천구 독산로10길 13 (시흥동)2024-02-01
748749화신건설(주)박진수도장ㆍ습식ㆍ방수ㆍ석공사업서울특별시 금천구 디지털로9길 33 206호 (가산동)2024-02-01
749750화신종합설비백종환가스난방공사업서울특별시 금천구 은행나무로 18 (시흥동)2024-02-01
750751화인석재(주)이상욱도장ㆍ습식ㆍ방수ㆍ석공사업서울특별시 금천구 서부샛길 606 대성디폴리스 A동 904호 (가산동)2024-02-01
751752화인스케치이익규실내건축공사업서울특별시 금천구 가산로3길 19 103호 (독산동)2024-02-01
752753효성개발(주)구형근금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업서울특별시 금천구 가산디지털1로 128 ,803호(가산동, 에스티엑스브이타워) (가산동)2024-02-01
753754훈훈한집수리변훈석가스난방공사업서울특별시 금천구 독산로64길 32 (독산동)2024-02-01
754755휴다인테크(주)최용석실내건축공사업서울특별시 금천구 시흥대로 155 216호 (시흥동)2024-02-01
755756흥부설비장명윤가스난방공사업서울특별시 금천구 시흥대로28길 54 (시흥동)2024-02-01