Overview

Dataset statistics

Number of variables5
Number of observations1509
Missing cells542
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory60.5 KiB
Average record size in memory41.1 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description부산도시공간정보시스템 도로상하수도기반시설에 대한 업체 정보입니다.(회사 일련번호, 회사 명, 주소, 상세 주소 등)
URLhttps://www.data.go.kr/data/15084497/fileData.do

Alerts

상세주소 has 539 (35.7%) missing valuesMissing
업체기관관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:38:17.326050
Analysis finished2023-12-12 08:38:18.573449
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체기관관리번호
Real number (ℝ)

UNIQUE 

Distinct1509
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4707680.4
Minimum1
Maximum6261127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.4 KiB
2023-12-12T17:38:18.692838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile109.8
Q13350000
median6260372
Q36260750
95-th percentile6261051.6
Maximum6261127
Range6261126
Interquartile range (IQR)2910750

Descriptive statistics

Standard deviation2684628.7
Coefficient of variation (CV)0.57026571
Kurtosis-0.61605052
Mean4707680.4
Median Absolute Deviation (MAD)384
Skewness-1.1683918
Sum7.1038897 × 109
Variance7.2072313 × 1012
MonotonicityNot monotonic
2023-12-12T17:38:18.886106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
272 1
 
0.1%
6260480 1
 
0.1%
6260575 1
 
0.1%
6260573 1
 
0.1%
6260567 1
 
0.1%
6260549 1
 
0.1%
6260535 1
 
0.1%
6260533 1
 
0.1%
6260518 1
 
0.1%
6260512 1
 
0.1%
Other values (1499) 1499
99.3%
ValueCountFrequency (%)
1 1
0.1%
3 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%
11 1
0.1%
12 1
0.1%
ValueCountFrequency (%)
6261127 1
0.1%
6261126 1
0.1%
6261125 1
0.1%
6261124 1
0.1%
6261123 1
0.1%
6261122 1
0.1%
6261121 1
0.1%
6261120 1
0.1%
6261119 1
0.1%
6261118 1
0.1%

업체명
Text

Distinct1503
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
2023-12-12T17:38:19.250431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length8.6361829
Min length2

Characters and Unicode

Total characters13032
Distinct characters435
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1498 ?
Unique (%)99.3%

Sample

1st row(주)KT 재송지점
2nd row(주)KT 조달본부
3rd row(주)KT 해운대지점
4th row해운대경찰서
5th row(주)KT 동부산지사
ValueCountFrequency (%)
주식회사 102
 
5.4%
부산광역시 39
 
2.1%
주)kt 28
 
1.5%
상수도사업본부 27
 
1.4%
한국통신 18
 
1.0%
17
 
0.9%
한국전력공사 16
 
0.8%
한국전력 8
 
0.4%
주택재개발정비사업조합 8
 
0.4%
주 7
 
0.4%
Other values (1530) 1620
85.7%
2023-12-12T17:38:20.090876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 1128
 
8.7%
) 967
 
7.4%
( 965
 
7.4%
건 672
 
5.2%
설 587
 
4.5%
382
 
2.9%
사 368
 
2.8%
합 283
 
2.2%
종 248
 
1.9%
부 241
 
1.8%
Other values (425) 7191
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10478
80.4%
Close Punctuation 967
 
7.4%
Open Punctuation 965
 
7.4%
Space Separator 382
 
2.9%
Uppercase Letter 124
 
1.0%
Decimal Number 47
 
0.4%
Other Punctuation 23
 
0.2%
Lowercase Letter 22
 
0.2%
Other Symbol 19
 
0.1%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1128
 
10.8%
건 672
 
6.4%
설 587
 
5.6%
사 368
 
3.5%
합 283
 
2.7%
종 248
 
2.4%
부 241
 
2.3%
산 240
 
2.3%
지 234
 
2.2%
이 203
 
1.9%
Other values (379) 6274
59.9%
Uppercase Letter
ValueCountFrequency (%)
K 41
33.1%
T 36
29.0%
S 13
 
10.5%
C 4
 
3.2%
H 4
 
3.2%
N 4
 
3.2%
D 3
 
2.4%
I 3
 
2.4%
M 3
 
2.4%
G 2
 
1.6%
Other values (7) 11
 
8.9%
Lowercase Letter
ValueCountFrequency (%)
k 4
18.2%
r 2
9.1%
w 2
9.1%
t 2
9.1%
e 2
9.1%
o 2
9.1%
c 2
9.1%
s 2
9.1%
g 1
 
4.5%
b 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
2 15
31.9%
1 15
31.9%
3 5
 
10.6%
7 4
 
8.5%
4 3
 
6.4%
0 3
 
6.4%
9 1
 
2.1%
6 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
/ 17
73.9%
. 4
 
17.4%
, 2
 
8.7%
Close Punctuation
ValueCountFrequency (%)
) 967
100.0%
Open Punctuation
ValueCountFrequency (%)
( 965
100.0%
Space Separator
ValueCountFrequency (%)
382
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10497
80.5%
Common 2389
 
18.3%
Latin 146
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1128
 
10.7%
건 672
 
6.4%
설 587
 
5.6%
사 368
 
3.5%
합 283
 
2.7%
종 248
 
2.4%
부 241
 
2.3%
산 240
 
2.3%
지 234
 
2.2%
이 203
 
1.9%
Other values (380) 6293
60.0%
Latin
ValueCountFrequency (%)
K 41
28.1%
T 36
24.7%
S 13
 
8.9%
k 4
 
2.7%
C 4
 
2.7%
H 4
 
2.7%
N 4
 
2.7%
D 3
 
2.1%
I 3
 
2.1%
M 3
 
2.1%
Other values (19) 31
21.2%
Common
ValueCountFrequency (%)
) 967
40.5%
( 965
40.4%
382
 
16.0%
/ 17
 
0.7%
2 15
 
0.6%
1 15
 
0.6%
3 5
 
0.2%
- 4
 
0.2%
. 4
 
0.2%
7 4
 
0.2%
Other values (6) 11
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10477
80.4%
ASCII 2535
 
19.5%
None 19
 
0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 1128
 
10.8%
건 672
 
6.4%
설 587
 
5.6%
사 368
 
3.5%
합 283
 
2.7%
종 248
 
2.4%
부 241
 
2.3%
산 240
 
2.3%
지 234
 
2.2%
이 203
 
1.9%
Other values (378) 6273
59.9%
ASCII
ValueCountFrequency (%)
) 967
38.1%
( 965
38.1%
382
 
15.1%
K 41
 
1.6%
T 36
 
1.4%
/ 17
 
0.7%
2 15
 
0.6%
1 15
 
0.6%
S 13
 
0.5%
3 5
 
0.2%
Other values (35) 79
 
3.1%
None
ValueCountFrequency (%)
㈜ 19
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

주소
Text

Distinct1298
Distinct (%)86.2%
Missing3
Missing (%)0.2%
Memory size11.9 KiB
2023-12-12T17:38:20.395885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length17.758964
Min length3

Characters and Unicode

Total characters26745
Distinct characters404
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

Unique1201 ?
Unique (%)79.7%

Sample

1st row부산광역시 해운대구 재송동 1043-2
2nd row연제구 연산2동1980-2
3rd row해운대구 우1동 548
4th row해운대구 재송1동 1094-1
5th row부산광역시 동래구 명륜로 116
ValueCountFrequency (%)
부산광역시 647
 
11.3%
부산시 181
 
3.2%
부산진구 106
 
1.9%
부산 104
 
1.8%
강서구 99
 
1.7%
금정구 94
 
1.6%
동래구 91
 
1.6%
연제구 90
 
1.6%
해운대구 76
 
1.3%
경상남도 74
 
1.3%
Other values (2098) 4157
72.7%
2023-12-12T17:38:20.994812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4255
 
15.9%
산 1318
 
4.9%
구 1231
 
4.6%
동 1212
 
4.5%
시 1210
 
4.5%
부 1185
 
4.4%
1 992
 
3.7%
광 780
 
2.9%
역 726
 
2.7%
2 613
 
2.3%
Other values (394) 13223
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17314
64.7%
Decimal Number 4308
 
16.1%
Space Separator 4255
 
15.9%
Dash Punctuation 504
 
1.9%
Open Punctuation 109
 
0.4%
Close Punctuation 108
 
0.4%
Other Punctuation 84
 
0.3%
Uppercase Letter 49
 
0.2%
Lowercase Letter 10
 
< 0.1%
Control 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1318
 
7.6%
구 1231
 
7.1%
동 1212
 
7.0%
시 1210
 
7.0%
부 1185
 
6.8%
광 780
 
4.5%
역 726
 
4.2%
로 497
 
2.9%
대 358
 
2.1%
남 288
 
1.7%
Other values (355) 8509
49.1%
Uppercase Letter
ValueCountFrequency (%)
K 11
22.4%
S 6
12.2%
E 5
10.2%
C 5
10.2%
T 4
 
8.2%
H 3
 
6.1%
N 3
 
6.1%
W 3
 
6.1%
A 3
 
6.1%
U 1
 
2.0%
Other values (5) 5
10.2%
Decimal Number
ValueCountFrequency (%)
1 992
23.0%
2 613
14.2%
3 426
9.9%
4 402
9.3%
5 379
 
8.8%
0 333
 
7.7%
6 324
 
7.5%
7 298
 
6.9%
8 284
 
6.6%
9 257
 
6.0%
Lowercase Letter
ValueCountFrequency (%)
n 3
30.0%
c 2
20.0%
e 2
20.0%
w 1
 
10.0%
o 1
 
10.0%
i 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 81
96.4%
. 2
 
2.4%
· 1
 
1.2%
Space Separator
ValueCountFrequency (%)
4255
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 504
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 108
100.0%
Control
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17314
64.7%
Common 9372
35.0%
Latin 59
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1318
 
7.6%
구 1231
 
7.1%
동 1212
 
7.0%
시 1210
 
7.0%
부 1185
 
6.8%
광 780
 
4.5%
역 726
 
4.2%
로 497
 
2.9%
대 358
 
2.1%
남 288
 
1.7%
Other values (355) 8509
49.1%
Latin
ValueCountFrequency (%)
K 11
18.6%
S 6
10.2%
E 5
 
8.5%
C 5
 
8.5%
T 4
 
6.8%
H 3
 
5.1%
n 3
 
5.1%
N 3
 
5.1%
W 3
 
5.1%
A 3
 
5.1%
Other values (11) 13
22.0%
Common
ValueCountFrequency (%)
4255
45.4%
1 992
 
10.6%
2 613
 
6.5%
- 504
 
5.4%
3 426
 
4.5%
4 402
 
4.3%
5 379
 
4.0%
0 333
 
3.6%
6 324
 
3.5%
7 298
 
3.2%
Other values (8) 846
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17314
64.7%
ASCII 9430
35.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4255
45.1%
1 992
 
10.5%
2 613
 
6.5%
- 504
 
5.3%
3 426
 
4.5%
4 402
 
4.3%
5 379
 
4.0%
0 333
 
3.5%
6 324
 
3.4%
7 298
 
3.2%
Other values (28) 904
 
9.6%
Hangul
ValueCountFrequency (%)
산 1318
 
7.6%
구 1231
 
7.1%
동 1212
 
7.0%
시 1210
 
7.0%
부 1185
 
6.8%
광 780
 
4.5%
역 726
 
4.2%
로 497
 
2.9%
대 358
 
2.1%
남 288
 
1.7%
Other values (355) 8509
49.1%
None
ValueCountFrequency (%)
· 1
100.0%

상세주소
Text

MISSING 

Distinct699
Distinct (%)72.1%
Missing539
Missing (%)35.7%
Memory size11.9 KiB
2023-12-12T17:38:21.315845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length27
Mean length9.0762887
Min length1

Characters and Unicode

Total characters8804
Distinct characters343
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique634 ?
Unique (%)65.4%

Sample

1st row재송전화국
2nd row연제구 연산2동1980-2
3rd row해운대구 우1동 548
4th row해운대구 재송1동 1094-1
5th row범일동 830-29 KT부산정보통신센터
ValueCountFrequency (%)
부산광역시 74
 
3.8%
2층 67
 
3.5%
자료없음 65
 
3.4%
3층 61
 
3.2%
부산시 59
 
3.1%
부산 51
 
2.6%
4층 30
 
1.6%
사하구 27
 
1.4%
연제구 26
 
1.3%
부산진구 25
 
1.3%
Other values (884) 1445
74.9%
2023-12-12T17:38:21.820801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
998
 
11.3%
동 498
 
5.7%
1 414
 
4.7%
산 337
 
3.8%
2 331
 
3.8%
부 318
 
3.6%
구 291
 
3.3%
0 285
 
3.2%
층 273
 
3.1%
호 226
 
2.6%
Other values (333) 4833
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5586
63.4%
Decimal Number 1842
 
20.9%
Space Separator 998
 
11.3%
Dash Punctuation 100
 
1.1%
Other Punctuation 76
 
0.9%
Close Punctuation 71
 
0.8%
Open Punctuation 70
 
0.8%
Uppercase Letter 53
 
0.6%
Control 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 498
 
8.9%
산 337
 
6.0%
부 318
 
5.7%
구 291
 
5.2%
층 273
 
4.9%
호 226
 
4.0%
시 210
 
3.8%
광 115
 
2.1%
역 102
 
1.8%
자 97
 
1.7%
Other values (297) 3119
55.8%
Uppercase Letter
ValueCountFrequency (%)
A 9
17.0%
B 8
15.1%
K 8
15.1%
T 4
7.5%
S 4
7.5%
C 3
 
5.7%
H 3
 
5.7%
E 3
 
5.7%
O 3
 
5.7%
G 2
 
3.8%
Other values (4) 6
11.3%
Decimal Number
ValueCountFrequency (%)
1 414
22.5%
2 331
18.0%
0 285
15.5%
3 219
11.9%
4 168
9.1%
5 122
 
6.6%
6 98
 
5.3%
7 77
 
4.2%
8 70
 
3.8%
9 58
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 73
96.1%
/ 2
 
2.6%
. 1
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 70
98.6%
] 1
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 69
98.6%
[ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
998
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5586
63.4%
Common 3164
35.9%
Latin 54
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 498
 
8.9%
산 337
 
6.0%
부 318
 
5.7%
구 291
 
5.2%
층 273
 
4.9%
호 226
 
4.0%
시 210
 
3.8%
광 115
 
2.1%
역 102
 
1.8%
자 97
 
1.7%
Other values (297) 3119
55.8%
Common
ValueCountFrequency (%)
998
31.5%
1 414
13.1%
2 331
 
10.5%
0 285
 
9.0%
3 219
 
6.9%
4 168
 
5.3%
5 122
 
3.9%
- 100
 
3.2%
6 98
 
3.1%
7 77
 
2.4%
Other values (11) 352
 
11.1%
Latin
ValueCountFrequency (%)
A 9
16.7%
B 8
14.8%
K 8
14.8%
T 4
7.4%
S 4
7.4%
C 3
 
5.6%
H 3
 
5.6%
E 3
 
5.6%
O 3
 
5.6%
G 2
 
3.7%
Other values (5) 7
13.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5586
63.4%
ASCII 3218
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
998
31.0%
1 414
12.9%
2 331
 
10.3%
0 285
 
8.9%
3 219
 
6.8%
4 168
 
5.2%
5 122
 
3.8%
- 100
 
3.1%
6 98
 
3.0%
7 77
 
2.4%
Other values (26) 406
12.6%
Hangul
ValueCountFrequency (%)
동 498
 
8.9%
산 337
 
6.0%
부 318
 
5.7%
구 291
 
5.2%
층 273
 
4.9%
호 226
 
4.0%
시 210
 
3.8%
광 115
 
2.1%
역 102
 
1.8%
자 97
 
1.7%
Other values (297) 3119
55.8%

업종코드
Categorical

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.9 KiB
기타
1068 
통신
119 
도로
 
87
전기
 
84
하수
 
68
Other values (4)
 
83

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row통신
2nd row통신
3rd row통신
4th row기타
5th row통신

Common Values

ValueCountFrequency (%)
기타 1068
70.8%
통신 119
 
7.9%
도로 87
 
5.8%
전기 84
 
5.6%
하수 68
 
4.5%
상수 36
 
2.4%
개인 34
 
2.3%
가스 8
 
0.5%
난방 5
 
0.3%

Length

2023-12-12T17:38:21.998566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:38:22.150072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1068
70.8%
통신 119
 
7.9%
도로 87
 
5.8%
전기 84
 
5.6%
하수 68
 
4.5%
상수 36
 
2.4%
개인 34
 
2.3%
가스 8
 
0.5%
난방 5
 
0.3%

Interactions

2023-12-12T17:38:18.082673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:38:22.261634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체기관관리번호업종코드
업체기관관리번호1.0000.296
업종코드0.2961.000
2023-12-12T17:38:22.378478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체기관관리번호업종코드
업체기관관리번호1.0000.192
업종코드0.1921.000

Missing values

2023-12-12T17:38:18.249480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:38:18.372698image/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.
2023-12-12T17:38:18.492724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업체기관관리번호업체명주소상세주소업종코드
0272(주)KT 재송지점부산광역시 해운대구 재송동 1043-2재송전화국통신
1273(주)KT 조달본부연제구 연산2동1980-2연제구 연산2동1980-2통신
2274(주)KT 해운대지점해운대구 우1동 548해운대구 우1동 548통신
3275해운대경찰서해운대구 재송1동 1094-1해운대구 재송1동 1094-1기타
4233(주)KT 동부산지사부산광역시 동래구 명륜로 116<NA>통신
5227(주)KT 남부산지사동구 자성공원로 23범일동 830-29 KT부산정보통신센터통신
6225(주)KT 가야지점부산광역시 부산진구 가야2동 161번지부산광역시 부산진구 가야2동 161번지통신
7226(주)KT 건설단서울 특별시 서초구 방배동 1001-1호서울 특별시 서초구 방배동 1001-1호통신
8512다슬건설(주) / 아세아토목(주)부산시동래구명륜동부산시동래구명륜동기타
9513상용건설(주) / 서광건설(주)부산시동래구안락동부산시동래구안락동기타
업체기관관리번호업체명주소상세주소업종코드
14996261081드림타워솔루션 주식회사부산광역시 사상구 감전동 165-10 엘지텔레콤빌딩2층 드림타워솔루션 영남지사도로
15006261083동명종합건설(주)부산광역시 연제구 연산동 479-9 팡도르6층, 동명종합건설(주)기타
15016261087(주)HS이엔씨경기도 군포시 금정동 1-40 한림휴먼타워504호도로
15026261093에스엠상선(주)건설부분부산광역시 중구 중앙동4가 84-5<NA>기타
15036261095수길정보통신부산광역시 금정구 금사동 57-22층통신
15046261106주식회사유씨엠부산광역시 기장군 기장읍 연화리 108-3 주식회사 유씨엠1층도로
15056261112(주)대경전력공사부산광역시 강서구 대저2동 3138-1207동 2층 212호전기
15066261113유일종합건설(주)부산광역시 북구 구포동 10864층도로
15076261117(주)성운건설산업부산광역시 강서구 대저1동 361-136<NA>도로
15086261121(주)마린하이텍부산광역시 수영구 광안동4동 101호통신