Overview

Dataset statistics

Number of variables8
Number of observations42
Missing cells4
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory69.0 B

Variable types

Text3
Categorical3
Numeric2

Dataset

Description부산광역시 중구 관내 전문 건설업체 현황에 대한 정보로, 상호, 업종, 소재지, 전화번호, 위도, 경도 등의 데이터를 포함합니다.
Author부산광역시 중구
URLhttps://www.data.go.kr/data/15126492/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준 has constant value ""Constant
전화번호 has 4 (9.5%) missing valuesMissing
상호 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:10:23.448926
Analysis finished2024-03-15 01:10:26.038090
Duration2.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T10:10:26.700353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length8
Min length4

Characters and Unicode

Total characters336
Distinct characters107
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

Unique42 ?
Unique (%)100.0%

Sample

1st row(주)남강산업설비
2nd row(주)다감디자인
3rd row(주)대상아이디
4th row(주)리엠디자인
5th row(주)바론건축디자인
ValueCountFrequency (%)
주)남강산업설비 1
 
2.4%
주식회사성일레저 1
 
2.4%
한미p.n.c(주 1
 
2.4%
승보세이프(주 1
 
2.4%
영주가스상사 1
 
2.4%
와이케이산업(주 1
 
2.4%
우진건축설비 1
 
2.4%
유성건업 1
 
2.4%
주식회사경남석재 1
 
2.4%
주식회사대양산업건설 1
 
2.4%
Other values (32) 32
76.2%
2024-03-15T10:10:28.257878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
10.1%
( 26
 
7.7%
) 26
 
7.7%
사 11
 
3.3%
건 10
 
3.0%
이 10
 
3.0%
설 9
 
2.7%
회 7
 
2.1%
디 7
 
2.1%
업 7
 
2.1%
Other values (97) 189
56.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 279
83.0%
Open Punctuation 26
 
7.7%
Close Punctuation 26
 
7.7%
Uppercase Letter 3
 
0.9%
Other Punctuation 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
12.2%
사 11
 
3.9%
건 10
 
3.6%
이 10
 
3.6%
설 9
 
3.2%
회 7
 
2.5%
디 7
 
2.5%
업 7
 
2.5%
식 7
 
2.5%
엔 6
 
2.2%
Other values (91) 171
61.3%
Uppercase Letter
ValueCountFrequency (%)
N 1
33.3%
C 1
33.3%
P 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 279
83.0%
Common 54
 
16.1%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
12.2%
사 11
 
3.9%
건 10
 
3.6%
이 10
 
3.6%
설 9
 
3.2%
회 7
 
2.5%
디 7
 
2.5%
업 7
 
2.5%
식 7
 
2.5%
엔 6
 
2.2%
Other values (91) 171
61.3%
Common
ValueCountFrequency (%)
( 26
48.1%
) 26
48.1%
. 2
 
3.7%
Latin
ValueCountFrequency (%)
N 1
33.3%
C 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 279
83.0%
ASCII 57
 
17.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
12.2%
사 11
 
3.9%
건 10
 
3.6%
이 10
 
3.6%
설 9
 
3.2%
회 7
 
2.5%
디 7
 
2.5%
업 7
 
2.5%
식 7
 
2.5%
엔 6
 
2.2%
Other values (91) 171
61.3%
ASCII
ValueCountFrequency (%)
( 26
45.6%
) 26
45.6%
. 2
 
3.5%
N 1
 
1.8%
C 1
 
1.8%
P 1
 
1.8%

업종
Categorical

Distinct15
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size464.0 B
실내건축공사업
9 
가스난방공사업
9 
구조물해체ㆍ비계공사업
5 
지반조성ㆍ포장공사업
3 
도장ㆍ습식ㆍ방수ㆍ석공사업
3 
Other values (10)
13 

Length

Max length114
Median length57
Mean length14.404762
Min length7

Unique

Unique7 ?
Unique (%)16.7%

Sample

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

Common Values

ValueCountFrequency (%)
실내건축공사업 9
21.4%
가스난방공사업 9
21.4%
구조물해체ㆍ비계공사업 5
11.9%
지반조성ㆍ포장공사업 3
 
7.1%
도장ㆍ습식ㆍ방수ㆍ석공사업 3
 
7.1%
기계가스설비공사업 2
 
4.8%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 2
 
4.8%
수중ㆍ준설공사업 2
 
4.8%
상ㆍ하수도설비공사업 1
 
2.4%
조경식재ㆍ시설물공사업 1
 
2.4%
Other values (5) 5
11.9%

Length

2024-03-15T10:10:28.714651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
실내건축공사업 9
15.3%
가스난방공사업 9
15.3%
구조물해체ㆍ비계공사업 9
15.3%
지반조성ㆍ포장공사업 7
11.9%
도장ㆍ습식ㆍ방수ㆍ석공사업 4
6.8%
수중ㆍ준설공사업 4
6.8%
상ㆍ하수도설비공사업 4
6.8%
철근ㆍ콘크리트공사업 4
6.8%
금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업 3
 
5.1%
기계가스설비공사업 2
 
3.4%
Other values (3) 4
6.8%

소재지
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T10:10:29.604970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length37.5
Mean length28.666667
Min length15

Characters and Unicode

Total characters1204
Distinct characters97
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row부산광역시 중구 자갈치로 15번길 4(남포동6가)
2nd row부산광역시 중구 해관로 72(중앙동4가)
3rd row부산광역시 중구 대영로 247(영주동)
4th row부산광역시 중구 대교로 133 6층, 602호(중앙동5가, 경보이리스오션더스타)
5th row부산광역시 중구 중앙대로 45-23(중앙동5가)
ValueCountFrequency (%)
부산광역시 42
20.1%
중구 42
20.1%
중앙대로 6
 
2.9%
해관로 4
 
1.9%
흑교로 4
 
1.9%
충장대로5번길 3
 
1.4%
보수대로 3
 
1.4%
동영로 3
 
1.4%
자갈치로 3
 
1.4%
대청로138번길 2
 
1.0%
Other values (91) 97
46.4%
2024-03-15T10:10:31.002590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
14.0%
중 67
 
5.6%
부 49
 
4.1%
동 45
 
3.7%
1 44
 
3.7%
구 44
 
3.7%
산 44
 
3.7%
시 44
 
3.7%
광 44
 
3.7%
역 43
 
3.6%
Other values (87) 612
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
58.9%
Decimal Number 207
 
17.2%
Space Separator 168
 
14.0%
Open Punctuation 38
 
3.2%
Close Punctuation 38
 
3.2%
Other Punctuation 34
 
2.8%
Dash Punctuation 10
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 67
 
9.4%
부 49
 
6.9%
동 45
 
6.3%
구 44
 
6.2%
산 44
 
6.2%
시 44
 
6.2%
광 44
 
6.2%
역 43
 
6.1%
로 41
 
5.8%
가 33
 
4.7%
Other values (72) 255
36.0%
Decimal Number
ValueCountFrequency (%)
1 44
21.3%
2 36
17.4%
4 25
12.1%
3 22
10.6%
5 21
10.1%
6 18
8.7%
0 13
 
6.3%
9 10
 
4.8%
7 10
 
4.8%
8 8
 
3.9%
Space Separator
ValueCountFrequency (%)
168
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
58.9%
Common 495
41.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 67
 
9.4%
부 49
 
6.9%
동 45
 
6.3%
구 44
 
6.2%
산 44
 
6.2%
시 44
 
6.2%
광 44
 
6.2%
역 43
 
6.1%
로 41
 
5.8%
가 33
 
4.7%
Other values (72) 255
36.0%
Common
ValueCountFrequency (%)
168
33.9%
1 44
 
8.9%
( 38
 
7.7%
) 38
 
7.7%
2 36
 
7.3%
, 34
 
6.9%
4 25
 
5.1%
3 22
 
4.4%
5 21
 
4.2%
6 18
 
3.6%
Other values (5) 51
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
58.9%
ASCII 495
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
33.9%
1 44
 
8.9%
( 38
 
7.7%
) 38
 
7.7%
2 36
 
7.3%
, 34
 
6.9%
4 25
 
5.1%
3 22
 
4.4%
5 21
 
4.2%
6 18
 
3.6%
Other values (5) 51
 
10.3%
Hangul
ValueCountFrequency (%)
중 67
 
9.4%
부 49
 
6.9%
동 45
 
6.3%
구 44
 
6.2%
산 44
 
6.2%
시 44
 
6.2%
광 44
 
6.2%
역 43
 
6.1%
로 41
 
5.8%
가 33
 
4.7%
Other values (72) 255
36.0%

전화번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing4
Missing (%)9.5%
Memory size464.0 B
2024-03-15T10:10:31.979617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters456
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

Unique38 ?
Unique (%)100.0%

Sample

1st row051-247-1336
2nd row051-469-4991
3rd row051-462-0707
4th row051-240-8881
5th row051-465-2005
ValueCountFrequency (%)
051-413-4370 1
 
2.6%
051-914-8434 1
 
2.6%
051-231-7778 1
 
2.6%
051-806-2378 1
 
2.6%
051-469-8059 1
 
2.6%
051-441-1066 1
 
2.6%
051-244-8169 1
 
2.6%
051-246-0130 1
 
2.6%
051-941-2347 1
 
2.6%
051-243-4023 1
 
2.6%
Other values (28) 28
73.7%
2024-03-15T10:10:32.927237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 76
16.7%
1 70
15.4%
0 66
14.5%
5 53
11.6%
4 48
10.5%
2 33
7.2%
6 31
6.8%
3 22
 
4.8%
8 20
 
4.4%
9 20
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 380
83.3%
Dash Punctuation 76
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 70
18.4%
0 66
17.4%
5 53
13.9%
4 48
12.6%
2 33
8.7%
6 31
8.2%
3 22
 
5.8%
8 20
 
5.3%
9 20
 
5.3%
7 17
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 456
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 76
16.7%
1 70
15.4%
0 66
14.5%
5 53
11.6%
4 48
10.5%
2 33
7.2%
6 31
6.8%
3 22
 
4.8%
8 20
 
4.4%
9 20
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 456
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 76
16.7%
1 70
15.4%
0 66
14.5%
5 53
11.6%
4 48
10.5%
2 33
7.2%
6 31
6.8%
3 22
 
4.8%
8 20
 
4.4%
9 20
 
4.4%

위도
Real number (ℝ)

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.104336
Minimum35.096719
Maximum35.112878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size506.0 B
2024-03-15T10:10:33.234861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.096719
5-th percentile35.097083
Q135.101589
median35.103991
Q335.106927
95-th percentile35.11229
Maximum35.112878
Range0.01615953
Interquartile range (IQR)0.0053380625

Descriptive statistics

Standard deviation0.0044132472
Coefficient of variation (CV)0.00012571801
Kurtosis-0.65728554
Mean35.104336
Median Absolute Deviation (MAD)0.00258712
Skewness0.15631583
Sum1474.3821
Variance1.9476751 × 10-5
MonotonicityNot monotonic
2024-03-15T10:10:33.488069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.10155758 2
 
4.8%
35.09671891 1
 
2.4%
35.11258278 1
 
2.4%
35.10768551 1
 
2.4%
35.10866943 1
 
2.4%
35.10866944 1
 
2.4%
35.10872726 1
 
2.4%
35.11005876 1
 
2.4%
35.11058775 1
 
2.4%
35.11092185 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
35.09671891 1
2.4%
35.09673985 1
2.4%
35.09704163 1
2.4%
35.09787882 1
2.4%
35.09830562 1
2.4%
35.09943604 1
2.4%
35.099449 1
2.4%
35.09946974 1
2.4%
35.10137019 1
2.4%
35.10155758 2
4.8%
ValueCountFrequency (%)
35.11287844 1
2.4%
35.11258278 1
2.4%
35.11236243 1
2.4%
35.11092185 1
2.4%
35.11058775 1
2.4%
35.11005876 1
2.4%
35.10872726 1
2.4%
35.10866944 1
2.4%
35.10866943 1
2.4%
35.10768551 1
2.4%

경도
Real number (ℝ)

Distinct40
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.03245
Minimum129.02151
Maximum129.03798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size506.0 B
2024-03-15T10:10:33.853523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.02151
5-th percentile129.02272
Q1129.0266
median129.03529
Q3129.03714
95-th percentile129.03767
Maximum129.03798
Range0.0164709
Interquartile range (IQR)0.010535225

Descriptive statistics

Standard deviation0.005541045
Coefficient of variation (CV)4.2943036 × 10-5
Kurtosis-1.0519001
Mean129.03245
Median Absolute Deviation (MAD)0.00216345
Skewness-0.75314733
Sum5419.3628
Variance3.0703179 × 10-5
MonotonicityNot monotonic
2024-03-15T10:10:34.285782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
129.0373627 2
 
4.8%
129.0373383 2
 
4.8%
129.0286673 1
 
2.4%
129.0340556 1
 
2.4%
129.0329201 1
 
2.4%
129.0226954 1
 
2.4%
129.0379777 1
 
2.4%
129.0351206 1
 
2.4%
129.0322862 1
 
2.4%
129.0374899 1
 
2.4%
Other values (30) 30
71.4%
ValueCountFrequency (%)
129.0215068 1
2.4%
129.0218938 1
2.4%
129.0226954 1
2.4%
129.0232142 1
2.4%
129.0235884 1
2.4%
129.0247867 1
2.4%
129.0253645 1
2.4%
129.0254517 1
2.4%
129.02585 1
2.4%
129.0259684 1
2.4%
ValueCountFrequency (%)
129.0379777 1
2.4%
129.0377323 1
2.4%
129.0376838 1
2.4%
129.0374899 1
2.4%
129.037409 1
2.4%
129.0373627 2
4.8%
129.0373383 2
4.8%
129.0371841 1
2.4%
129.0371539 1
2.4%
129.0370944 1
2.4%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
부산광역시 중구
42 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 중구
2nd row부산광역시 중구
3rd row부산광역시 중구
4th row부산광역시 중구
5th row부산광역시 중구

Common Values

ValueCountFrequency (%)
부산광역시 중구 42
100.0%

Length

2024-03-15T10:10:34.736966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:10:35.043373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 42
50.0%
중구 42
50.0%

데이터기준
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-01-26
42 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-26
2nd row2024-01-26
3rd row2024-01-26
4th row2024-01-26
5th row2024-01-26

Common Values

ValueCountFrequency (%)
2024-01-26 42
100.0%

Length

2024-03-15T10:10:35.375441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:10:35.745790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-26 42
100.0%

Interactions

2024-03-15T10:10:24.645196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:10:23.935192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:10:24.931450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:10:24.326060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:10:36.062607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호업종소재지전화번호위도경도
상호1.0001.0001.0001.0001.0001.000
업종1.0001.0001.0001.0000.0000.594
소재지1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도1.0000.0001.0001.0001.0000.307
경도1.0000.5941.0001.0000.3071.000
2024-03-15T10:10:36.238951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.0000.2530.000
경도0.2531.0000.202
업종0.0000.2021.000

Missing values

2024-03-15T10:10:25.296706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:10:25.870781image/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

상호업종소재지전화번호위도경도구군명데이터기준
0(주)남강산업설비기계가스설비공사업부산광역시 중구 자갈치로 15번길 4(남포동6가)051-247-133635.096719129.028667부산광역시 중구2024-01-26
1(주)다감디자인실내건축공사업부산광역시 중구 해관로 72(중앙동4가)051-469-499135.09674129.0262부산광역시 중구2024-01-26
2(주)대상아이디실내건축공사업부산광역시 중구 대영로 247(영주동)051-462-070735.097879129.031128부산광역시 중구2024-01-26
3(주)리엠디자인실내건축공사업부산광역시 중구 대교로 133 6층, 602호(중앙동5가, 경보이리스오션더스타)<NA>35.098306129.025452부산광역시 중구2024-01-26
4(주)바론건축디자인실내건축공사업부산광역시 중구 중앙대로 45-23(중앙동5가)051-240-888135.099436129.035611부산광역시 중구2024-01-26
5(주)블루펜슬디자인실내건축공사업부산광역시 중구 충장대로5번길 37, 305호(중앙동4가, 세창빌딩)051-465-200535.101558129.037338부산광역시 중구2024-01-26
6(주)비엠텍상ㆍ하수도설비공사업부산광역시 중구 충장대로5번길 18-1(중앙동4가)051-315-191935.101558129.037338부산광역시 중구2024-01-26
7(주)상지엔지니어링건축사사무소실내건축공사업부산광역시 중구 자갈치로 42, 513호(남포동5가, 신동아상가)051-247-020835.101683129.035267부산광역시 중구2024-01-26
8(주)신아남개발지반조성ㆍ포장공사업부산광역시 중구 중앙대로 149(대창동2가)051-464-566135.102044129.035217부산광역시 중구2024-01-26
9(주)썬앤문구조물해체ㆍ비계공사업부산광역시 중구 해관로 7, 6층(동광동1가)051-413-437035.102156129.035865부산광역시 중구2024-01-26
상호업종소재지전화번호위도경도구군명데이터기준
32주식회사위더스건축실내건축공사업부산광역시 중구 동영로 111, 위더스부산(영주동)051-246-299635.112362129.037684부산광역시 중구2024-01-26
33주식회사케이오씨수중ㆍ준설공사업부산광역시 중구 중앙대로 22, 302호(중앙동6가)051-731-109035.112583129.034056부산광역시 중구2024-01-26
34창유이엔지가스난방공사업부산광역시 중구 중앙대로 21(중앙동6가, 부산데파트 102-2층)<NA>35.112878129.036374부산광역시 중구2024-01-26
35청도설비가스난방공사업부산광역시 중구 초량중로 8-2(영주동)051-469-678035.106194129.023214부산광역시 중구2024-01-26
36태백산업개발(주)지반조성ㆍ포장공사업부산광역시 중구 대교로 157, 103동 310호(중앙동4가, 서린엘마르센트로뷰)051-988-112035.097042129.027816부산광역시 중구2024-01-26
37태양토건(주)지반조성ㆍ포장공사업부산광역시 중구 흑교로31번길 29, 2층(부평동4가)051-242-142035.105232129.035608부산광역시 중구2024-01-26
38한국종합설비가스난방공사업부산광역시 중구 흑교로 79(보수동2가)<NA>35.10137129.036064부산광역시 중구2024-01-26
39한림정공주식회사금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업부산광역시 중구 해관로 38, 602호(중앙동2가, 항도빌딩)051-241-601035.099449129.036204부산광역시 중구2024-01-26
40한미P.N.C(주)도장ㆍ습식ㆍ방수ㆍ석공사업부산광역시 중구 대청로 54-2(부평동2가)051-243-402335.09947129.036939부산광역시 중구2024-01-26
41흥우산업(주)철근ㆍ콘크리트공사업, 철강구조물공사업, 상ㆍ하수도설비공사업, 금속ㆍ창호ㆍ지붕ㆍ건축물조립공사업, 지반조성ㆍ포장공사업, 구조물해체ㆍ비계공사업, 조경식재ㆍ시설물공사업, 도장ㆍ습식ㆍ방수ㆍ석공사업, 수중ㆍ준설공사업부산광역시 중구 중앙대로 96, 15층(중앙동4가)051-462-016135.101945129.037409부산광역시 중구2024-01-26