Overview

Dataset statistics

Number of variables7
Number of observations271
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory58.5 B

Variable types

Numeric2
Text4
Categorical1

Dataset

Description부산광역시 수영구 전문건설업 현황 데이터로 업체명, 대표자명, 업종, 업체소재지, 업체 연락처 정보를 제공하고 있다.
Author부산광역시 수영구
URLhttps://www.data.go.kr/data/3046171/fileData.do

Alerts

번호 has unique valuesUnique

Reproduction

Analysis started2024-03-30 01:20:51.379862
Analysis finished2024-03-30 01:20:53.967230
Duration2.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct271
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136
Minimum1
Maximum271
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-30T01:20:54.194139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.5
Q168.5
median136
Q3203.5
95-th percentile257.5
Maximum271
Range270
Interquartile range (IQR)135

Descriptive statistics

Standard deviation78.375166
Coefficient of variation (CV)0.57628799
Kurtosis-1.2
Mean136
Median Absolute Deviation (MAD)68
Skewness0
Sum36856
Variance6142.6667
MonotonicityStrictly increasing
2024-03-30T01:20:54.679946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
180 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
184 1
 
0.4%
183 1
 
0.4%
182 1
 
0.4%
181 1
 
0.4%
179 1
 
0.4%
2 1
 
0.4%
Other values (261) 261
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%

업체명
Text

Distinct191
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-30T01:20:55.239251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.5055351
Min length2

Characters and Unicode

Total characters2034
Distinct characters213
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique148 ?
Unique (%)54.6%

Sample

1st row(주)가양
2nd row(주)가양
3rd row(주)거송이엔지
4th row(주)경림이엔지
5th row(주)경성시스템
ValueCountFrequency (%)
티엘엔지니어링(주 9
 
3.3%
대하씨엔디(주 6
 
2.2%
주)라이프하우징 5
 
1.8%
금풍건설이엔씨(주 5
 
1.8%
주식회사거대토건 4
 
1.5%
한누리건설(주 4
 
1.5%
재은건설주식회사 4
 
1.5%
주)산울건설 4
 
1.5%
주)다세움건설 4
 
1.5%
하진토건(주 4
 
1.5%
Other values (181) 222
81.9%
2024-03-30T01:20:56.299485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 229
 
11.3%
( 186
 
9.1%
) 186
 
9.1%
건 98
 
4.8%
설 88
 
4.3%
이 57
 
2.8%
사 46
 
2.3%
회 40
 
2.0%
식 40
 
2.0%
엔 38
 
1.9%
Other values (203) 1026
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1643
80.8%
Open Punctuation 186
 
9.1%
Close Punctuation 186
 
9.1%
Uppercase Letter 16
 
0.8%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 229
 
13.9%
건 98
 
6.0%
설 88
 
5.4%
이 57
 
3.5%
사 46
 
2.8%
회 40
 
2.4%
식 40
 
2.4%
엔 38
 
2.3%
디 36
 
2.2%
지 30
 
1.8%
Other values (193) 941
57.3%
Uppercase Letter
ValueCountFrequency (%)
G 4
25.0%
E 3
18.8%
S 2
12.5%
T 2
12.5%
N 2
12.5%
C 2
12.5%
H 1
 
6.2%
Open Punctuation
ValueCountFrequency (%)
( 186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 186
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1643
80.8%
Common 375
 
18.4%
Latin 16
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 229
 
13.9%
건 98
 
6.0%
설 88
 
5.4%
이 57
 
3.5%
사 46
 
2.8%
회 40
 
2.4%
식 40
 
2.4%
엔 38
 
2.3%
디 36
 
2.2%
지 30
 
1.8%
Other values (193) 941
57.3%
Latin
ValueCountFrequency (%)
G 4
25.0%
E 3
18.8%
S 2
12.5%
T 2
12.5%
N 2
12.5%
C 2
12.5%
H 1
 
6.2%
Common
ValueCountFrequency (%)
( 186
49.6%
) 186
49.6%
. 3
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1643
80.8%
ASCII 391
 
19.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 229
 
13.9%
건 98
 
6.0%
설 88
 
5.4%
이 57
 
3.5%
사 46
 
2.8%
회 40
 
2.4%
식 40
 
2.4%
엔 38
 
2.3%
디 36
 
2.2%
지 30
 
1.8%
Other values (193) 941
57.3%
ASCII
ValueCountFrequency (%)
( 186
47.6%
) 186
47.6%
G 4
 
1.0%
. 3
 
0.8%
E 3
 
0.8%
S 2
 
0.5%
T 2
 
0.5%
N 2
 
0.5%
C 2
 
0.5%
H 1
 
0.3%

대표자
Text

Distinct190
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-30T01:20:56.910816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.1697417
Min length2

Characters and Unicode

Total characters859
Distinct characters136
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)54.2%

Sample

1st row김명인
2nd row김명인
3rd row신남성
4th row윤재걸
5th row강태규
ValueCountFrequency (%)
김태훈 9
 
3.3%
김용현 6
 
2.2%
이형민,탁규오 5
 
1.8%
나용환 5
 
1.8%
박정옥 5
 
1.8%
이동훈 4
 
1.5%
김보미 4
 
1.5%
박남이 4
 
1.5%
송다남 4
 
1.5%
하정헌 4
 
1.5%
Other values (180) 221
81.5%
2024-03-30T01:20:57.913079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 70
 
8.1%
이 40
 
4.7%
박 30
 
3.5%
정 26
 
3.0%
훈 22
 
2.6%
현 21
 
2.4%
호 20
 
2.3%
태 19
 
2.2%
민 17
 
2.0%
영 17
 
2.0%
Other values (126) 577
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 847
98.6%
Other Punctuation 12
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 70
 
8.3%
이 40
 
4.7%
박 30
 
3.5%
정 26
 
3.1%
훈 22
 
2.6%
현 21
 
2.5%
호 20
 
2.4%
태 19
 
2.2%
민 17
 
2.0%
영 17
 
2.0%
Other values (125) 565
66.7%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 847
98.6%
Common 12
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 70
 
8.3%
이 40
 
4.7%
박 30
 
3.5%
정 26
 
3.1%
훈 22
 
2.6%
현 21
 
2.5%
호 20
 
2.4%
태 19
 
2.2%
민 17
 
2.0%
영 17
 
2.0%
Other values (125) 565
66.7%
Common
ValueCountFrequency (%)
, 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 847
98.6%
ASCII 12
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 70
 
8.3%
이 40
 
4.7%
박 30
 
3.5%
정 26
 
3.1%
훈 22
 
2.6%
현 21
 
2.5%
호 20
 
2.4%
태 19
 
2.2%
민 17
 
2.0%
영 17
 
2.0%
Other values (125) 565
66.7%
ASCII
ValueCountFrequency (%)
, 12
100.0%

업종
Categorical

Distinct11
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
실내건축공사업
58 
가스난방공사업
42 
지반조성ㆍ포장공사업
29 
도장ㆍ습식ㆍ방수ㆍ석공사업
27 
철근ㆍ콘크리트공사업
26 
Other values (6)
89 

Length

Max length17
Median length13
Mean length9.7343173
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업
2nd row실내건축공사업
3rd row지반조성ㆍ포장공사업
4th row기계가스설비공사업
5th row기계가스설비공사업

Common Values

ValueCountFrequency (%)
실내건축공사업 58
21.4%
가스난방공사업 42
15.5%
지반조성ㆍ포장공사업 29
10.7%
도장ㆍ습식ㆍ방수ㆍ석공사업 27
10.0%
철근ㆍ콘크리트공사업 26
9.6%
상ㆍ하수도설비공사업 26
9.6%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 21
 
7.7%
기계가스설비공사업 18
 
6.6%
구조물해체ㆍ비계공사업 12
 
4.4%
조경식재ㆍ시설물공사업 9
 
3.3%

Length

2024-03-30T01:20:58.330714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내건축공사업 58
21.4%
가스난방공사업 42
15.5%
지반조성ㆍ포장공사업 29
10.7%
도장ㆍ습식ㆍ방수ㆍ석공사업 27
10.0%
철근ㆍ콘크리트공사업 26
9.6%
상ㆍ하수도설비공사업 26
9.6%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 21
 
7.7%
기계가스설비공사업 18
 
6.6%
구조물해체ㆍ비계공사업 12
 
4.4%
조경식재ㆍ시설물공사업 9
 
3.3%

우편번호
Real number (ℝ)

Distinct81
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48267.018
Minimum48203
Maximum48318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-03-30T01:20:58.739437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum48203
5-th percentile48211
Q148239.5
median48271
Q348299
95-th percentile48313
Maximum48318
Range115
Interquartile range (IQR)59.5

Descriptive statistics

Standard deviation33.83549
Coefficient of variation (CV)0.00070100643
Kurtosis-1.1987083
Mean48267.018
Median Absolute Deviation (MAD)29
Skewness-0.27926091
Sum13080362
Variance1144.8404
MonotonicityNot monotonic
2024-03-30T01:20:59.205709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48280 18
 
6.6%
48267 13
 
4.8%
48288 12
 
4.4%
48307 10
 
3.7%
48314 9
 
3.3%
48313 8
 
3.0%
48284 8
 
3.0%
48303 7
 
2.6%
48265 7
 
2.6%
48300 7
 
2.6%
Other values (71) 172
63.5%
ValueCountFrequency (%)
48203 2
0.7%
48204 1
 
0.4%
48205 1
 
0.4%
48207 2
0.7%
48208 2
0.7%
48209 3
1.1%
48210 1
 
0.4%
48211 3
1.1%
48212 1
 
0.4%
48214 4
1.5%
ValueCountFrequency (%)
48318 1
 
0.4%
48316 3
 
1.1%
48314 9
3.3%
48313 8
3.0%
48312 5
1.8%
48310 1
 
0.4%
48309 1
 
0.4%
48308 6
2.2%
48307 10
3.7%
48305 1
 
0.4%

도로명주소
Text

Distinct189
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-30T01:20:59.777104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length30.243542
Min length21

Characters and Unicode

Total characters8196
Distinct characters144
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

Unique147 ?
Unique (%)54.2%

Sample

1st row부산광역시 수영구 수영로476번길 29 3층 (남천동)
2nd row부산광역시 수영구 수영로476번길 29 3층 (남천동)
3rd row부산광역시 수영구 연수로 420, 2층(광안동, 우리은행빌딩)
4th row부산광역시 수영구 광서로 23 3층 (광안동)
5th row부산광역시 수영구 망미로28번길 34，1층，2층，3층
ValueCountFrequency (%)
부산광역시 271
 
17.2%
수영구 271
 
17.2%
광안동 91
 
5.8%
민락동 50
 
3.2%
망미동 46
 
2.9%
남천동 41
 
2.6%
수영로 37
 
2.4%
3층 21
 
1.3%
광안해변로370번길 18
 
1.1%
수영동 18
 
1.1%
Other values (333) 710
45.1%
2024-03-30T01:21:00.881422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1303
 
15.9%
광 444
 
5.4%
수 396
 
4.8%
영 385
 
4.7%
동 308
 
3.8%
산 281
 
3.4%
구 274
 
3.3%
부 273
 
3.3%
역 272
 
3.3%
시 272
 
3.3%
Other values (134) 3988
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4787
58.4%
Decimal Number 1381
 
16.8%
Space Separator 1303
 
15.9%
Close Punctuation 270
 
3.3%
Open Punctuation 270
 
3.3%
Other Punctuation 121
 
1.5%
Dash Punctuation 62
 
0.8%
Uppercase Letter 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 444
 
9.3%
수 396
 
8.3%
영 385
 
8.0%
동 308
 
6.4%
산 281
 
5.9%
구 274
 
5.7%
부 273
 
5.7%
역 272
 
5.7%
시 272
 
5.7%
로 271
 
5.7%
Other values (115) 1611
33.7%
Decimal Number
ValueCountFrequency (%)
1 244
17.7%
3 191
13.8%
2 186
13.5%
0 161
11.7%
4 132
9.6%
5 110
8.0%
6 101
7.3%
9 101
7.3%
7 93
 
6.7%
8 62
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 95
78.5%
， 20
 
16.5%
. 6
 
5.0%
Space Separator
ValueCountFrequency (%)
1303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 270
100.0%
Open Punctuation
ValueCountFrequency (%)
( 270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4787
58.4%
Common 3408
41.6%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 444
 
9.3%
수 396
 
8.3%
영 385
 
8.0%
동 308
 
6.4%
산 281
 
5.9%
구 274
 
5.7%
부 273
 
5.7%
역 272
 
5.7%
시 272
 
5.7%
로 271
 
5.7%
Other values (115) 1611
33.7%
Common
ValueCountFrequency (%)
1303
38.2%
) 270
 
7.9%
( 270
 
7.9%
1 244
 
7.2%
3 191
 
5.6%
2 186
 
5.5%
0 161
 
4.7%
4 132
 
3.9%
5 110
 
3.2%
6 101
 
3.0%
Other values (8) 440
 
12.9%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4787
58.4%
ASCII 3389
41.3%
None 20
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1303
38.4%
) 270
 
8.0%
( 270
 
8.0%
1 244
 
7.2%
3 191
 
5.6%
2 186
 
5.5%
0 161
 
4.8%
4 132
 
3.9%
5 110
 
3.2%
6 101
 
3.0%
Other values (8) 421
 
12.4%
Hangul
ValueCountFrequency (%)
광 444
 
9.3%
수 396
 
8.3%
영 385
 
8.0%
동 308
 
6.4%
산 281
 
5.9%
구 274
 
5.7%
부 273
 
5.7%
역 272
 
5.7%
시 272
 
5.7%
로 271
 
5.7%
Other values (115) 1611
33.7%
None
ValueCountFrequency (%)
， 20
100.0%

전화번호
Text

Distinct185
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-03-30T01:21:01.374662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.02583
Min length11

Characters and Unicode

Total characters3259
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

Unique142 ?
Unique (%)52.4%

Sample

1st row051-752-7830
2nd row051-752-7830
3rd row051-911-5711
4th row051-755-3036
5th row051-754-1020
ValueCountFrequency (%)
051-623-3999 11
 
4.1%
051-524-7958 6
 
2.2%
051-751-4492 5
 
1.8%
051-622-4441 5
 
1.8%
064-744-3688 4
 
1.5%
000-0000-0000 4
 
1.5%
051-746-8163 4
 
1.5%
051-416-9235 4
 
1.5%
051-928-7956 4
 
1.5%
051-753-4191 4
 
1.5%
Other values (175) 220
81.2%
2024-03-30T01:21:02.430410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 542
16.6%
5 539
16.5%
0 503
15.4%
1 435
13.3%
7 272
8.3%
6 185
 
5.7%
2 185
 
5.7%
4 156
 
4.8%
3 149
 
4.6%
9 148
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2717
83.4%
Dash Punctuation 542
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 539
19.8%
0 503
18.5%
1 435
16.0%
7 272
10.0%
6 185
 
6.8%
2 185
 
6.8%
4 156
 
5.7%
3 149
 
5.5%
9 148
 
5.4%
8 145
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 542
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3259
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 542
16.6%
5 539
16.5%
0 503
15.4%
1 435
13.3%
7 272
8.3%
6 185
 
5.7%
2 185
 
5.7%
4 156
 
4.8%
3 149
 
4.6%
9 148
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3259
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 542
16.6%
5 539
16.5%
0 503
15.4%
1 435
13.3%
7 272
8.3%
6 185
 
5.7%
2 185
 
5.7%
4 156
 
4.8%
3 149
 
4.6%
9 148
 
4.5%

Interactions

2024-03-30T01:20:52.760712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T01:20:52.158941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T01:20:53.027104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T01:20:52.496786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T01:21:02.730894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종우편번호
번호1.0000.2930.503
업종0.2931.0000.000
우편번호0.5030.0001.000
2024-03-30T01:21:03.003466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호우편번호업종
번호1.000-0.0550.128
우편번호-0.0551.0000.000
업종0.1280.0001.000

Missing values

2024-03-30T01:20:53.401681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T01:20:53.811772image/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

번호업체명대표자업종우편번호도로명주소전화번호
01(주)가양김명인금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업48314부산광역시 수영구 수영로476번길 29 3층 (남천동)051-752-7830
12(주)가양김명인실내건축공사업48314부산광역시 수영구 수영로476번길 29 3층 (남천동)051-752-7830
23(주)거송이엔지신남성지반조성ㆍ포장공사업48243부산광역시 수영구 연수로 420, 2층(광안동, 우리은행빌딩)051-911-5711
34(주)경림이엔지윤재걸기계가스설비공사업48248부산광역시 수영구 광서로 23 3층 (광안동)051-755-3036
45(주)경성시스템강태규기계가스설비공사업48235부산광역시 수영구 망미로28번길 34，1층，2층，3층051-754-1020
56(주)고산차명훈도장ㆍ습식ㆍ방수ㆍ석공사업48240부산광역시 수영구 연수로 350 (광안동)051-753-7893
67(주)공감시대강수연철근ㆍ콘크리트공사업48267부산광역시 수영구 수영로674번길 13, 202호(광안동, 수영오피스빌)051-752-7702
78(주)공감시대강수연상ㆍ하수도설비공사업48267부산광역시 수영구 수영로674번길 13, 202호(광안동, 수영오피스빌)051-752-7702
89(주)공감시대강수연지반조성ㆍ포장공사업48267부산광역시 수영구 수영로674번길 13, 202호(광안동, 수영오피스빌)051-752-7702
910(주)광원양원일철근ㆍ콘크리트공사업48299부산광역시 수영구 광남로 121 골드코스트 6층 (광안동)051-714-6808
번호업체명대표자업종우편번호도로명주소전화번호
261262한솔엘리베이터(주)정순아승강기ㆍ삭도공사업48298부산광역시 수영구 수영로 568 301호(광안동,이든바인하츠) (광안동)051-761-5086
262263해송이앤씨주식회사박인경지반조성ㆍ포장공사업48265부산광역시 수영구 수영로475번길 11, 301호051-701-0232
263264해송이앤씨주식회사박인경상ㆍ하수도설비공사업48265부산광역시 수영구 수영로475번길 11, 301호051-701-0232
264265해주엘리베이터(주)채경훈승강기ㆍ삭도공사업48248부산광역시 수영구 광서로 23 1층 (광안동)051-807-4130
265266현대전자이무식가스난방공사업48265부산광역시 수영구 수영로 493 지하철금련산역상가 10호점 (남천동)051-621-0222
266267현대팔도가스박세훈가스난방공사업48217부산광역시 수영구 수미로25번길 51 1층 (망미동)051-758-8000
267268형제종합설비김남진가스난방공사업48245부산광역시 수영구 광서로 56 (광안동)051-759-6228
268269호신설비이병일가스난방공사업48240부산광역시 수영구 망미번영로23번길 32 (광안동)051-755-0553
269270효동건설(주)윤병식금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업48232부산광역시 수영구 연수로385번길 11 (수영동)051-895-9006
270271흑석설비오수용가스난방공사업48218부산광역시 수영구 망미번영로55번길108 (망미동, 현대망미아파트 상가동 1층3호)051-612-3102