Overview

Dataset statistics

Number of variables7
Number of observations2635
Missing cells33
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory146.8 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Text4
DateTime2

Dataset

Description송파구 실내건축업 현황으로, 법인 또는 상호, 등록일자, 영업소재지, 전화번호 등 정보 송파구 실내건축업 현황으로, 법인 또는 상호, 대표자, 등록일자, 영업소재지 등 정보를 제공합니다.
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15102719/fileData.do

Alerts

기준일자 has constant value ""Constant
전화번호 has 33 (1.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:05:22.777646
Analysis finished2023-12-11 23:05:23.789105
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct2635
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1318
Minimum1
Maximum2635
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.3 KiB
2023-12-12T08:05:23.875131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile132.7
Q1659.5
median1318
Q31976.5
95-th percentile2503.3
Maximum2635
Range2634
Interquartile range (IQR)1317

Descriptive statistics

Standard deviation760.8033
Coefficient of variation (CV)0.57724075
Kurtosis-1.2
Mean1318
Median Absolute Deviation (MAD)659
Skewness0
Sum3472930
Variance578821.67
MonotonicityStrictly increasing
2023-12-12T08:05:24.024116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
1752 1
 
< 0.1%
1754 1
 
< 0.1%
1755 1
 
< 0.1%
1756 1
 
< 0.1%
1757 1
 
< 0.1%
1758 1
 
< 0.1%
1759 1
 
< 0.1%
1760 1
 
< 0.1%
1761 1
 
< 0.1%
Other values (2625) 2625
99.6%
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 (%)
2635 1
< 0.1%
2634 1
< 0.1%
2633 1
< 0.1%
2632 1
< 0.1%
2631 1
< 0.1%
2630 1
< 0.1%
2629 1
< 0.1%
2628 1
< 0.1%
2627 1
< 0.1%
2626 1
< 0.1%

상호
Text

Distinct2577
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T08:05:24.341233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length7.7802657
Min length2

Characters and Unicode

Total characters20501
Distinct characters540
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

Unique2526 ?
Unique (%)95.9%

Sample

1st row(유)강일산업
2nd row(유)보승건설
3rd row(유)부광개발
4th row(유)우원티엠
5th row(유)창조지엠에스
ValueCountFrequency (%)
대흥설비 4
 
0.2%
대성가스 3
 
0.1%
홍익기계설비 3
 
0.1%
제일종합설비 3
 
0.1%
중앙설비 3
 
0.1%
건설삼육오(주 3
 
0.1%
대한설비공사 2
 
0.1%
주)경우단열 2
 
0.1%
우일건업 2
 
0.1%
주)퍼시스 2
 
0.1%
Other values (2569) 2610
99.0%
2023-12-12T08:05:25.122284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 2185
 
10.7%
) 2111
 
10.3%
( 2110
 
10.3%
설 695
 
3.4%
이 687
 
3.4%
건 670
 
3.3%
스 406
 
2.0%
지 329
 
1.6%
씨 322
 
1.6%
엔 308
 
1.5%
Other values (530) 10678
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16090
78.5%
Close Punctuation 2111
 
10.3%
Open Punctuation 2110
 
10.3%
Uppercase Letter 132
 
0.6%
Decimal Number 24
 
0.1%
Lowercase Letter 18
 
0.1%
Other Punctuation 13
 
0.1%
Space Separator 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 2185
 
13.6%
설 695
 
4.3%
이 687
 
4.3%
건 670
 
4.2%
스 406
 
2.5%
지 329
 
2.0%
씨 322
 
2.0%
엔 308
 
1.9%
에 283
 
1.8%
디 268
 
1.7%
Other values (481) 9937
61.8%
Uppercase Letter
ValueCountFrequency (%)
N 26
19.7%
E 24
18.2%
G 24
18.2%
S 12
9.1%
C 8
 
6.1%
K 7
 
5.3%
A 6
 
4.5%
D 4
 
3.0%
L 4
 
3.0%
U 2
 
1.5%
Other values (9) 15
11.4%
Lowercase Letter
ValueCountFrequency (%)
c 3
16.7%
d 2
11.1%
t 2
11.1%
o 2
11.1%
s 2
11.1%
n 2
11.1%
i 1
 
5.6%
e 1
 
5.6%
a 1
 
5.6%
p 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
9 5
20.8%
2 5
20.8%
1 4
16.7%
0 3
12.5%
3 2
 
8.3%
4 2
 
8.3%
8 1
 
4.2%
6 1
 
4.2%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
. 5
38.5%
& 3
23.1%
, 2
 
15.4%
， 2
 
15.4%
· 1
 
7.7%
Space Separator
ValueCountFrequency (%)
1
50.0%
　 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16090
78.5%
Common 4261
 
20.8%
Latin 150
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 2185
 
13.6%
설 695
 
4.3%
이 687
 
4.3%
건 670
 
4.2%
스 406
 
2.5%
지 329
 
2.0%
씨 322
 
2.0%
엔 308
 
1.9%
에 283
 
1.8%
디 268
 
1.7%
Other values (481) 9937
61.8%
Latin
ValueCountFrequency (%)
N 26
17.3%
E 24
16.0%
G 24
16.0%
S 12
 
8.0%
C 8
 
5.3%
K 7
 
4.7%
A 6
 
4.0%
D 4
 
2.7%
L 4
 
2.7%
c 3
 
2.0%
Other values (20) 32
21.3%
Common
ValueCountFrequency (%)
) 2111
49.5%
( 2110
49.5%
9 5
 
0.1%
. 5
 
0.1%
2 5
 
0.1%
1 4
 
0.1%
0 3
 
0.1%
& 3
 
0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
Other values (9) 11
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16090
78.5%
ASCII 4407
 
21.5%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 2185
 
13.6%
설 695
 
4.3%
이 687
 
4.3%
건 670
 
4.2%
스 406
 
2.5%
지 329
 
2.0%
씨 322
 
2.0%
엔 308
 
1.9%
에 283
 
1.8%
디 268
 
1.7%
Other values (481) 9937
61.8%
ASCII
ValueCountFrequency (%)
) 2111
47.9%
( 2110
47.9%
N 26
 
0.6%
E 24
 
0.5%
G 24
 
0.5%
S 12
 
0.3%
C 8
 
0.2%
K 7
 
0.2%
A 6
 
0.1%
9 5
 
0.1%
Other values (36) 74
 
1.7%
None
ValueCountFrequency (%)
， 2
50.0%
　 1
25.0%
· 1
25.0%

대표자
Text

Distinct2428
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T08:05:25.459286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length3
Mean length3.2
Min length2

Characters and Unicode

Total characters8432
Distinct characters255
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2250 ?
Unique (%)85.4%

Sample

1st row조규정
2nd row김정숙
3rd row김명희
4th row조순옥
5th row이석용
ValueCountFrequency (%)
김성환 6
 
0.2%
김영수 5
 
0.2%
김영식 4
 
0.2%
박미경 4
 
0.2%
윤영인 4
 
0.2%
고중량 3
 
0.1%
김태우 3
 
0.1%
김성태 3
 
0.1%
김성용 3
 
0.1%
이정훈 3
 
0.1%
Other values (2420) 2599
98.6%
2023-12-12T08:05:25.975966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 604
 
7.2%
이 416
 
4.9%
영 279
 
3.3%
박 246
 
2.9%
정 243
 
2.9%
성 190
 
2.3%
수 166
 
2.0%
호 141
 
1.7%
용 136
 
1.6%
진 128
 
1.5%
Other values (245) 5883
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8294
98.4%
Other Punctuation 136
 
1.6%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 604
 
7.3%
이 416
 
5.0%
영 279
 
3.4%
박 246
 
3.0%
정 243
 
2.9%
성 190
 
2.3%
수 166
 
2.0%
호 141
 
1.7%
용 136
 
1.6%
진 128
 
1.5%
Other values (241) 5745
69.3%
Other Punctuation
ValueCountFrequency (%)
, 108
79.4%
， 17
 
12.5%
. 11
 
8.1%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8294
98.4%
Common 138
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 604
 
7.3%
이 416
 
5.0%
영 279
 
3.4%
박 246
 
3.0%
정 243
 
2.9%
성 190
 
2.3%
수 166
 
2.0%
호 141
 
1.7%
용 136
 
1.6%
진 128
 
1.5%
Other values (241) 5745
69.3%
Common
ValueCountFrequency (%)
, 108
78.3%
， 17
 
12.3%
. 11
 
8.0%
2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8294
98.4%
ASCII 121
 
1.4%
None 17
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 604
 
7.3%
이 416
 
5.0%
영 279
 
3.4%
박 246
 
3.0%
정 243
 
2.9%
성 190
 
2.3%
수 166
 
2.0%
호 141
 
1.7%
용 136
 
1.6%
진 128
 
1.5%
Other values (241) 5745
69.3%
ASCII
ValueCountFrequency (%)
, 108
89.3%
. 11
 
9.1%
2
 
1.7%
None
ValueCountFrequency (%)
， 17
100.0%

업체등록일자
Date

Distinct1791
Distinct (%)68.0%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Minimum1976-11-10 00:00:00
Maximum2022-07-12 00:00:00
2023-12-12T08:05:26.156494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:05:26.329928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업소재지(도로명주소)
Text

Distinct2525
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
2023-12-12T08:05:26.636436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length50
Mean length32.112334
Min length8

Characters and Unicode

Total characters84616
Distinct characters338
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2425 ?
Unique (%)92.0%

Sample

1st row서울특별시 송파구 송파대로 201 비동 비-1604호(문정동, 송파테라타워2) (문정동)
2nd row서울특별시 송파구 정의로7길 13 힐스테이트에코송파 제9층 제오피스 919호 (문정동)
3rd row서울특별시 송파구 송파대로 167 테라타워 A동 413호 (문정동)
4th row서울특별시 송파구 마천로 83 301호 (오금동)
5th row서울특별시 송파구 오금로34길 62 2층 (가락동)
ValueCountFrequency (%)
송파구 2634
 
16.0%
서울특별시 2627
 
16.0%
문정동 490
 
3.0%
가락동 459
 
2.8%
방이동 261
 
1.6%
송파동 193
 
1.2%
석촌동 192
 
1.2%
오금동 180
 
1.1%
2층 174
 
1.1%
잠실동 170
 
1.0%
Other values (2332) 9089
55.2%
2023-12-12T08:05:27.097736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13834
 
16.3%
1 3308
 
3.9%
송 3304
 
3.9%
파 3300
 
3.9%
동 3095
 
3.7%
시 2665
 
3.1%
) 2655
 
3.1%
( 2652
 
3.1%
서 2646
 
3.1%
로 2644
 
3.1%
Other values (328) 44513
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 49278
58.2%
Decimal Number 14487
 
17.1%
Space Separator 13834
 
16.3%
Close Punctuation 2655
 
3.1%
Open Punctuation 2652
 
3.1%
Other Punctuation 1220
 
1.4%
Dash Punctuation 410
 
0.5%
Uppercase Letter 72
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 3304
 
6.7%
파 3300
 
6.7%
동 3095
 
6.3%
시 2665
 
5.4%
서 2646
 
5.4%
로 2644
 
5.4%
울 2638
 
5.4%
구 2634
 
5.3%
별 2628
 
5.3%
특 2627
 
5.3%
Other values (290) 21097
42.8%
Uppercase Letter
ValueCountFrequency (%)
B 25
34.7%
A 17
23.6%
L 5
 
6.9%
S 5
 
6.9%
C 4
 
5.6%
E 2
 
2.8%
D 2
 
2.8%
K 2
 
2.8%
V 2
 
2.8%
G 2
 
2.8%
Other values (6) 6
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 3308
22.8%
2 2325
16.0%
0 1770
12.2%
3 1665
11.5%
4 1226
 
8.5%
6 1062
 
7.3%
5 993
 
6.9%
8 752
 
5.2%
7 720
 
5.0%
9 666
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 1106
90.7%
， 110
 
9.0%
. 2
 
0.2%
· 2
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
c 5
71.4%
k 1
 
14.3%
b 1
 
14.3%
Space Separator
ValueCountFrequency (%)
13834
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2655
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2652
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 410
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 49278
58.2%
Common 35259
41.7%
Latin 79
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 3304
 
6.7%
파 3300
 
6.7%
동 3095
 
6.3%
시 2665
 
5.4%
서 2646
 
5.4%
로 2644
 
5.4%
울 2638
 
5.4%
구 2634
 
5.3%
별 2628
 
5.3%
특 2627
 
5.3%
Other values (290) 21097
42.8%
Common
ValueCountFrequency (%)
13834
39.2%
1 3308
 
9.4%
) 2655
 
7.5%
( 2652
 
7.5%
2 2325
 
6.6%
0 1770
 
5.0%
3 1665
 
4.7%
4 1226
 
3.5%
, 1106
 
3.1%
6 1062
 
3.0%
Other values (9) 3656
 
10.4%
Latin
ValueCountFrequency (%)
B 25
31.6%
A 17
21.5%
L 5
 
6.3%
c 5
 
6.3%
S 5
 
6.3%
C 4
 
5.1%
E 2
 
2.5%
D 2
 
2.5%
K 2
 
2.5%
V 2
 
2.5%
Other values (9) 10
 
12.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 49278
58.2%
ASCII 35226
41.6%
None 112
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13834
39.3%
1 3308
 
9.4%
) 2655
 
7.5%
( 2652
 
7.5%
2 2325
 
6.6%
0 1770
 
5.0%
3 1665
 
4.7%
4 1226
 
3.5%
, 1106
 
3.1%
6 1062
 
3.0%
Other values (26) 3623
 
10.3%
Hangul
ValueCountFrequency (%)
송 3304
 
6.7%
파 3300
 
6.7%
동 3095
 
6.3%
시 2665
 
5.4%
서 2646
 
5.4%
로 2644
 
5.4%
울 2638
 
5.4%
구 2634
 
5.3%
별 2628
 
5.3%
특 2627
 
5.3%
Other values (290) 21097
42.8%
None
ValueCountFrequency (%)
， 110
98.2%
· 2
 
1.8%

전화번호
Text

MISSING 

Distinct2406
Distinct (%)92.5%
Missing33
Missing (%)1.3%
Memory size20.7 KiB
2023-12-12T08:05:27.361639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.236741
Min length6

Characters and Unicode

Total characters29238
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

Unique2290 ?
Unique (%)88.0%

Sample

1st row063-243-4860
2nd row02-823-9034
3rd row02-403-9511
4th row02-2043-0103
5th row063-563-2295
ValueCountFrequency (%)
00-000-0000 31
 
1.2%
02-0-0 29
 
1.1%
02-000-0000 9
 
0.3%
070-8828-2778 4
 
0.2%
02-413-7511 4
 
0.2%
02-599-4494 4
 
0.2%
02-431-0664 3
 
0.1%
02-485-6060 3
 
0.1%
070-7419-8524 3
 
0.1%
02-416-0097 3
 
0.1%
Other values (2396) 2509
96.4%
2023-12-12T08:05:27.784961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5483
18.8%
- 5204
17.8%
2 4598
15.7%
4 3270
11.2%
1 2117
 
7.2%
3 1872
 
6.4%
5 1596
 
5.5%
7 1471
 
5.0%
8 1301
 
4.4%
6 1288
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24034
82.2%
Dash Punctuation 5204
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5483
22.8%
2 4598
19.1%
4 3270
13.6%
1 2117
 
8.8%
3 1872
 
7.8%
5 1596
 
6.6%
7 1471
 
6.1%
8 1301
 
5.4%
6 1288
 
5.4%
9 1038
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 5204
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5483
18.8%
- 5204
17.8%
2 4598
15.7%
4 3270
11.2%
1 2117
 
7.2%
3 1872
 
6.4%
5 1596
 
5.5%
7 1471
 
5.0%
8 1301
 
4.4%
6 1288
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5483
18.8%
- 5204
17.8%
2 4598
15.7%
4 3270
11.2%
1 2117
 
7.2%
3 1872
 
6.4%
5 1596
 
5.5%
7 1471
 
5.0%
8 1301
 
4.4%
6 1288
 
4.4%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size20.7 KiB
Minimum2022-07-01 00:00:00
Maximum2022-07-01 00:00:00
2023-12-12T08:05:27.929070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:05:28.017538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:05:23.489112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T08:05:23.608619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:05:23.738924image/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

연번상호대표자업체등록일자영업소재지(도로명주소)전화번호기준일자
01(유)강일산업조규정1994-12-20서울특별시 송파구 송파대로 201 비동 비-1604호(문정동, 송파테라타워2) (문정동)063-243-48602022-07-01
12(유)보승건설김정숙1998-06-29서울특별시 송파구 정의로7길 13 힐스테이트에코송파 제9층 제오피스 919호 (문정동)02-823-90342022-07-01
23(유)부광개발김명희2021-07-22서울특별시 송파구 송파대로 167 테라타워 A동 413호 (문정동)<NA>2022-07-01
34(유)우원티엠조순옥2015-07-07서울특별시 송파구 마천로 83 301호 (오금동)02-403-95112022-07-01
45(유)창조지엠에스이석용2002-02-25서울특별시 송파구 오금로34길 62 2층 (가락동)02-2043-01032022-07-01
56(유)흥진산업김세경2005-02-21서울특별시 송파구 양재대로 932 904호 (가락동)063-563-22952022-07-01
67(주)가경코스모조문희1992-08-31서울특별시 송파구 충민로 52 비동 306호 (문정동)02-2047-13202022-07-01
78(주)가든스토리백정희2020-04-14서울특별시 송파구 송파대로 201 , 비동 비-1324호 (문정동, 송파테라타워2)02-6956-73802022-07-01
89(주)가람산업개발송재영1999-08-20서울특별시 송파구 새말로8길 11 (문정동)02-454-89062022-07-01
910(주)가람이앤씨심규현2008-03-07서울특별시 송파구 백제고분로28길 26 (삼전동)02-412-70072022-07-01
연번상호대표자업체등록일자영업소재지(도로명주소)전화번호기준일자
26252626황해엔지니어링(주)최문식1994-12-30서울특별시 송파구 백제고분로18길 3， 3층 304호 (잠실동，크리스탈빌)02-415-90762022-07-01
26262627효원이엔씨(주)이세형2015-07-30서울특별시 송파구 동남로4길 27 2층 (문정동)02-402-80652022-07-01
26272628효은설비황선철2018-12-20서울특별시 송파구 성내천로33길 4 (마천동)<NA>2022-07-01
26282629효인산업개발(주)전용배2008-10-16서울특별시 송파구 새말로 161 201호 (문정동)02-567-90132022-07-01
26292630효인산업개발(주)전용배2015-03-20서울특별시 송파구 새말로 161 201호 (문정동)02-567-90132022-07-01
26302631훼밀리공조(주)전부영2008-05-19서울특별시 송파구 백제고분로32길 12 부영빌딩 301호 (삼전동)02-400-64462022-07-01
26312632훼밀리설비장진환2019-01-17서울특별시 송파구 중대로 24 지하1층 비177호 (문정동, 올림픽훼밀리타운(아파트) 209동)02-400-75372022-07-01
26322633휘수건설(주)김수원2004-02-17서울특별시 송파구 백제고분로 501 ， 1109호 (방이동,청호오피스텔)02-415-02912022-07-01
26332634흥국설비마상국2001-07-14서울특별시 송파구 백제고분로31길 25 (삼전동)02-414-30632022-07-01
26342635흥석건설(주)문원기2019-05-17서울특별시 송파구 법원로 114, 제에이동 제5층 제에이-507호(문정동， 엠스테이트)02-413-84602022-07-01