Overview

Dataset statistics

Number of variables8
Number of observations72
Missing cells5
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory67.8 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description부산광역시 연제구에 주소지를 둔 환경오염 배출시설에 대한 내용으로 업체명, 사업장 도로명주소, 대표 업종, 전화번호 등의 정보를 제공합니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15121308/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 업종High correlation
경도 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
전화번호 has 5 (6.9%) missing valuesMissing
업체명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 19:40:05.066652
Analysis finished2024-03-14 19:40:06.795332
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size704.0 B
연제구
72 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연제구
2nd row연제구
3rd row연제구
4th row연제구
5th row연제구

Common Values

ValueCountFrequency (%)
연제구 72
100.0%

Length

2024-03-15T04:40:07.003102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:40:07.321448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연제구 72
100.0%

업체명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size704.0 B
2024-03-15T04:40:08.162916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.9583333
Min length4

Characters and Unicode

Total characters645
Distinct characters167
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row(주)연산모터스
2nd row동부산정비
3rd row현대연산서비스㈜
4th row연제주유소
5th row㈜OS에너지 자이주유소
ValueCountFrequency (%)
연산점 2
 
2.2%
현대오일뱅크㈜직영 2
 
2.2%
진성모터스 2
 
2.2%
부산현대주유소 1
 
1.1%
광신홀딩스㈜토곡주유소 1
 
1.1%
플러스 1
 
1.1%
car 1
 
1.1%
한독세차장 1
 
1.1%
한진교통㈜ 1
 
1.1%
연산셀프주유소 1
 
1.1%
Other values (77) 77
85.6%
2024-03-15T04:40:09.591361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 34
 
5.3%
부 24
 
3.7%
스 22
 
3.4%
㈜ 21
 
3.3%
18
 
2.8%
차 15
 
2.3%
주 15
 
2.3%
연 15
 
2.3%
동 15
 
2.3%
비 15
 
2.3%
Other values (157) 451
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 580
89.9%
Other Symbol 21
 
3.3%
Space Separator 18
 
2.8%
Open Punctuation 9
 
1.4%
Close Punctuation 9
 
1.4%
Uppercase Letter 5
 
0.8%
Lowercase Letter 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 34
 
5.9%
부 24
 
4.1%
스 22
 
3.8%
차 15
 
2.6%
주 15
 
2.6%
연 15
 
2.6%
동 15
 
2.6%
비 15
 
2.6%
유 13
 
2.2%
지 13
 
2.2%
Other values (146) 399
68.8%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
C 1
20.0%
K 1
20.0%
O 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
50.0%
r 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 21
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 601
93.2%
Common 37
 
5.7%
Latin 7
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 34
 
5.7%
부 24
 
4.0%
스 22
 
3.7%
㈜ 21
 
3.5%
차 15
 
2.5%
주 15
 
2.5%
연 15
 
2.5%
동 15
 
2.5%
비 15
 
2.5%
유 13
 
2.2%
Other values (147) 412
68.6%
Latin
ValueCountFrequency (%)
S 2
28.6%
C 1
14.3%
a 1
14.3%
r 1
14.3%
K 1
14.3%
O 1
14.3%
Common
ValueCountFrequency (%)
18
48.6%
( 9
24.3%
) 9
24.3%
& 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 580
89.9%
ASCII 44
 
6.8%
None 21
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 34
 
5.9%
부 24
 
4.1%
스 22
 
3.8%
차 15
 
2.6%
주 15
 
2.6%
연 15
 
2.6%
동 15
 
2.6%
비 15
 
2.6%
유 13
 
2.2%
지 13
 
2.2%
Other values (146) 399
68.8%
None
ValueCountFrequency (%)
㈜ 21
100.0%
ASCII
ValueCountFrequency (%)
18
40.9%
( 9
20.5%
) 9
20.5%
S 2
 
4.5%
C 1
 
2.3%
a 1
 
2.3%
r 1
 
2.3%
K 1
 
2.3%
& 1
 
2.3%
O 1
 
2.3%

도로명주소
Text

Distinct67
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Memory size704.0 B
2024-03-15T04:40:10.601914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length23.097222
Min length16

Characters and Unicode

Total characters1663
Distinct characters67
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

Unique64 ?
Unique (%)88.9%

Sample

1st row부산광역시 연제구 여고로 136(거제동)
2nd row부산광역시 연제구 과정로 297(연산동)
3rd row부산광역시 연제구 과정로 198(연산동)
4th row부산광역시 연제구 연수로 87(연산동)
5th row부산광역시 연제구 과정로 325(연산동)
ValueCountFrequency (%)
부산광역시 72
25.2%
연제구 72
25.2%
과정로 9
 
3.1%
중앙대로 9
 
3.1%
월드컵대로 8
 
2.8%
법원북로 4
 
1.4%
33(거제동 4
 
1.4%
쌍미천로 3
 
1.0%
법원로 3
 
1.0%
거제대로 3
 
1.0%
Other values (89) 99
34.6%
2024-03-15T04:40:12.507828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
214
 
12.9%
연 119
 
7.2%
산 115
 
6.9%
제 109
 
6.6%
시 73
 
4.4%
로 72
 
4.3%
구 72
 
4.3%
부 72
 
4.3%
역 72
 
4.3%
광 72
 
4.3%
Other values (57) 673
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1081
65.0%
Decimal Number 223
 
13.4%
Space Separator 214
 
12.9%
Open Punctuation 69
 
4.1%
Close Punctuation 69
 
4.1%
Dash Punctuation 6
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 119
11.0%
산 115
10.6%
제 109
10.1%
시 73
 
6.8%
로 72
 
6.7%
구 72
 
6.7%
부 72
 
6.7%
역 72
 
6.7%
광 72
 
6.7%
동 71
 
6.6%
Other values (42) 234
21.6%
Decimal Number
ValueCountFrequency (%)
1 56
25.1%
2 35
15.7%
3 27
12.1%
0 24
10.8%
8 22
 
9.9%
7 17
 
7.6%
9 15
 
6.7%
5 11
 
4.9%
6 8
 
3.6%
4 8
 
3.6%
Space Separator
ValueCountFrequency (%)
214
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1081
65.0%
Common 582
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 119
11.0%
산 115
10.6%
제 109
10.1%
시 73
 
6.8%
로 72
 
6.7%
구 72
 
6.7%
부 72
 
6.7%
역 72
 
6.7%
광 72
 
6.7%
동 71
 
6.6%
Other values (42) 234
21.6%
Common
ValueCountFrequency (%)
214
36.8%
( 69
 
11.9%
) 69
 
11.9%
1 56
 
9.6%
2 35
 
6.0%
3 27
 
4.6%
0 24
 
4.1%
8 22
 
3.8%
7 17
 
2.9%
9 15
 
2.6%
Other values (5) 34
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1081
65.0%
ASCII 582
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
214
36.8%
( 69
 
11.9%
) 69
 
11.9%
1 56
 
9.6%
2 35
 
6.0%
3 27
 
4.6%
0 24
 
4.1%
8 22
 
3.8%
7 17
 
2.9%
9 15
 
2.6%
Other values (5) 34
 
5.8%
Hangul
ValueCountFrequency (%)
연 119
11.0%
산 115
10.6%
제 109
10.1%
시 73
 
6.8%
로 72
 
6.7%
구 72
 
6.7%
부 72
 
6.7%
역 72
 
6.7%
광 72
 
6.7%
동 71
 
6.6%
Other values (42) 234
21.6%

업종
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Memory size704.0 B
세차
20 
자동차정비
15 
주유소
5 
자동차세차업
3 
병원시설
 
2
Other values (26)
27 

Length

Max length16
Median length11
Mean length4.3611111
Min length2

Unique

Unique25 ?
Unique (%)34.7%

Sample

1st row자동차정비
2nd row자동차정비
3rd row자동차정비
4th row주유소
5th row주유소

Common Values

ValueCountFrequency (%)
세차 20
27.8%
자동차정비 15
20.8%
주유소 5
 
6.9%
자동차세차업 3
 
4.2%
병원시설 2
 
2.8%
자동차운수업 2
 
2.8%
임대업(스포츠센터) 1
 
1.4%
임대업(부동산) 1
 
1.4%
산업단체 1
 
1.4%
고등검찰청 1
 
1.4%
Other values (21) 21
29.2%

Length

2024-03-15T04:40:12.931002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
세차 20
25.6%
자동차정비 15
19.2%
주유소 5
 
6.4%
자동차세차업 3
 
3.8%
병원시설 2
 
2.6%
자동차운수업 2
 
2.6%
제지 1
 
1.3%
공공질서 1
 
1.3%
행정(법원 1
 
1.3%
식품 1
 
1.3%
Other values (27) 27
34.6%

전화번호
Text

MISSING 

Distinct67
Distinct (%)100.0%
Missing5
Missing (%)6.9%
Memory size704.0 B
2024-03-15T04:40:14.416594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014925
Min length12

Characters and Unicode

Total characters805
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

Unique67 ?
Unique (%)100.0%

Sample

1st row051-505-4973
2nd row051-861-9500
3rd row051-758-4894
4th row051-636-4356
5th row051-864-4244
ValueCountFrequency (%)
051-851-5199 1
 
1.5%
051-502-9131 1
 
1.5%
051-865-9200 1
 
1.5%
051-751-5847 1
 
1.5%
051-863-9487 1
 
1.5%
051-759-3401 1
 
1.5%
051-759-1241 1
 
1.5%
051-759-8021 1
 
1.5%
051-852-7321 1
 
1.5%
051-860-5003 1
 
1.5%
Other values (57) 57
85.1%
2024-03-15T04:40:16.763977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 136
16.9%
- 134
16.6%
0 122
15.2%
1 113
14.0%
8 63
7.8%
6 57
7.1%
7 44
 
5.5%
2 43
 
5.3%
9 33
 
4.1%
4 33
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 671
83.4%
Dash Punctuation 134
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 136
20.3%
0 122
18.2%
1 113
16.8%
8 63
9.4%
6 57
8.5%
7 44
 
6.6%
2 43
 
6.4%
9 33
 
4.9%
4 33
 
4.9%
3 27
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 136
16.9%
- 134
16.6%
0 122
15.2%
1 113
14.0%
8 63
7.8%
6 57
7.1%
7 44
 
5.5%
2 43
 
5.3%
9 33
 
4.1%
4 33
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 136
16.9%
- 134
16.6%
0 122
15.2%
1 113
14.0%
8 63
7.8%
6 57
7.1%
7 44
 
5.5%
2 43
 
5.3%
9 33
 
4.1%
4 33
 
4.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.322364
Minimum35.173825
Maximum37.494163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size776.0 B
2024-03-15T04:40:17.335625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.173825
5-th percentile35.175989
Q135.184158
median35.188024
Q335.190398
95-th percentile36.199727
Maximum37.494163
Range2.3203379
Interquartile range (IQR)0.0062402475

Descriptive statistics

Standard deviation0.49444026
Coefficient of variation (CV)0.013997938
Kurtosis14.299998
Mean35.322364
Median Absolute Deviation (MAD)0.00334493
Skewness3.8597965
Sum2543.2102
Variance0.24447117
MonotonicityNot monotonic
2024-03-15T04:40:17.799016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.18660578 2
 
2.8%
35.1990085 1
 
1.4%
35.18555587 1
 
1.4%
35.19280605 1
 
1.4%
35.18226888 1
 
1.4%
35.19388992 1
 
1.4%
35.18802587 1
 
1.4%
35.18802258 1
 
1.4%
35.17382469 1
 
1.4%
35.18345875 1
 
1.4%
Other values (61) 61
84.7%
ValueCountFrequency (%)
35.17382469 1
1.4%
35.17422951 1
1.4%
35.17494495 1
1.4%
35.17571845 1
1.4%
35.17620985 1
1.4%
35.17644672 1
1.4%
35.17680067 1
1.4%
35.17714001 1
1.4%
35.17785982 1
1.4%
35.17910501 1
1.4%
ValueCountFrequency (%)
37.49416258 1
1.4%
37.49037873 1
1.4%
37.48818268 1
1.4%
36.34886149 1
1.4%
36.07770863 1
1.4%
35.96452908 1
1.4%
35.23981812 1
1.4%
35.1990085 1
1.4%
35.198986 1
1.4%
35.19600843 1
1.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct71
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.94851
Minimum126.7405
Maximum129.38561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size776.0 B
2024-03-15T04:40:18.215544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.7405
5-th percentile127.44094
Q1129.07604
median129.08061
Q3129.0941
95-th percentile129.11038
Maximum129.38561
Range2.6451087
Interquartile range (IQR)0.018063225

Descriptive statistics

Standard deviation0.507328
Coefficient of variation (CV)0.0039343456
Kurtosis11.018435
Mean128.94851
Median Absolute Deviation (MAD)0.009849
Skewness-3.4917442
Sum9284.2926
Variance0.2573817
MonotonicityNot monotonic
2024-03-15T04:40:18.486415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0528249 2
 
2.8%
129.0774296 1
 
1.4%
129.1107503 1
 
1.4%
129.0795547 1
 
1.4%
129.1074667 1
 
1.4%
129.0660958 1
 
1.4%
129.1048219 1
 
1.4%
129.104196 1
 
1.4%
129.0904021 1
 
1.4%
129.082571 1
 
1.4%
Other values (61) 61
84.7%
ValueCountFrequency (%)
126.7404998 1
1.4%
127.0100034 1
1.4%
127.0726596 1
1.4%
127.3399229 1
1.4%
127.5235859 1
1.4%
128.6640867 1
1.4%
129.0528249 2
2.8%
129.0657737 1
1.4%
129.0660958 1
1.4%
129.0683798 1
1.4%
ValueCountFrequency (%)
129.3856085 1
1.4%
129.1119518 1
1.4%
129.1110651 1
1.4%
129.1107503 1
1.4%
129.1100858 1
1.4%
129.109771 1
1.4%
129.1075664 1
1.4%
129.1074667 1
1.4%
129.1068103 1
1.4%
129.1057138 1
1.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size704.0 B
2023-07-31
72 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 72
100.0%

Length

2024-03-15T04:40:18.724799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:40:18.899391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 72
100.0%

Interactions

2024-03-15T04:40:05.985338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:40:05.514351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:40:06.226253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:40:05.745715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:40:19.091820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명도로명주소업종전화번호위도경도
업체명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0000.0001.0000.8130.886
업종1.0000.0001.0001.0000.9580.940
전화번호1.0001.0001.0001.0001.0001.000
위도1.0000.8130.9581.0001.0000.962
경도1.0000.8860.9401.0000.9621.000
2024-03-15T04:40:19.394946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.000-0.2500.653
경도-0.2501.0000.599
업종0.6530.5991.000

Missing values

2024-03-15T04:40:06.489221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:40:06.709947image/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

구군명업체명도로명주소업종전화번호위도경도데이터기준일자
0연제구(주)연산모터스부산광역시 연제구 여고로 136(거제동)자동차정비051-505-497335.199008129.077432023-07-31
1연제구동부산정비부산광역시 연제구 과정로 297(연산동)자동차정비051-861-950035.188316129.0947022023-07-31
2연제구현대연산서비스㈜부산광역시 연제구 과정로 198(연산동)자동차정비051-758-489435.188207129.1057142023-07-31
3연제구연제주유소부산광역시 연제구 연수로 87(연산동)주유소051-636-435635.175718129.0802622023-07-31
4연제구㈜OS에너지 자이주유소부산광역시 연제구 과정로 325(연산동)주유소051-864-424435.189503129.0919952023-07-31
5연제구리스본병원부산광역시 연제구 중앙대로 1090(연산동)병원시설051-864-760035.184797129.0810632023-07-31
6연제구연제구청(자원순환과 폐수)부산광역시 연제구 연제로 2(연산동)세차051-665-445935.17621129.0797412023-07-31
7연제구연제구국민체육센터(대기)부산광역시 연제구 쌍미천로 132(연산동)종합사회체육시설051-665-512735.184154129.0874882023-07-31
8연제구(주)좋은기름나라 연산주유소지점부산광역시 연제구 고분로 51(연산동)주유소051-851-519935.185818129.0878512023-07-31
9연제구세븐세차장부산광역시 연제구 거제대로272번길 7(거제동)세차051-868-958835.190363129.077592023-07-31
구군명업체명도로명주소업종전화번호위도경도데이터기준일자
62연제구은마석유(주)아시아드주유소부산광역시 연제구 거제대로 130(거제동)세차051-852-414435.180016129.0693842023-07-31
63연제구산청세차장부산광역시 연제구 월드컵대로165번길 6(연산동)세차051-851-587635.18687129.0780382023-07-31
64연제구일광세차장부산광역시 연제구 거제대로286번길 17-1(거제동)세차051-863-128935.191078129.0792132023-07-31
65연제구부산연제우체국부산광역시 연제구 법원북로 33(거제동)공영우편업051-500-071035.194121129.0706012023-07-31
66연제구진성모터스 연산점부산광역시 연제구 종합운동장로 7자동차종합수리업<NA>35.188212129.1002872023-07-31
67연제구성진모터스부산광역시 연제구 법원북로 33(거제동)자동차세차업<NA>35.187449129.0996962023-07-31
68연제구토니카워시점부산광역시 연제구 법원북로 33(거제동)자동차세차업<NA>35.188639129.0939012023-07-31
69연제구지에스건설㈜부산광역시 연제구 법원북로 33(거제동)교량 터널 철도건설업051-710-308535.198986129.0783812023-07-31
70연제구(주)우진모터스 부산서비스센터부산광역시 연제구 과정로 197(연산동)자동차정비<NA>35.187601129.1054092023-07-31
71연제구에이원오토서비스코리아부산광역시 연제구 월드컵대로 97(연산동)자동차정비051-557-222035.182974129.0828572023-07-31