Overview

Dataset statistics

Number of variables8
Number of observations60
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory68.2 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description관내 대기환경보전법, 수질및수생태계보전에관한법률에 따라 환경오염배출시설에 대한 데이터로 업소명, 소재지, 전화번호, 업종 등의 항목을 제공합니다.
Author부산광역시 동래구
URLhttps://www.data.go.kr/data/15026249/fileData.do

Alerts

시도명 has constant value ""Constant
구군명 has constant value ""Constant
전화번호 has 1 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-12 23:33:08.708030
Analysis finished2023-12-12 23:33:09.806352
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
부산광역시
60 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 60
100.0%

Length

2023-12-13T08:33:09.880144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:33:09.963199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 60
100.0%

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
동래구
60 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동래구 60
100.0%

Length

2023-12-13T08:33:10.053766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:33:10.148207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동래구 60
100.0%

업체명
Text

Distinct58
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T08:33:10.345068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length7.85
Min length3

Characters and Unicode

Total characters471
Distinct characters149
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)95.0%

Sample

1st row신일정비
2nd row르노코리아자동차(주)동래사업소
3rd row제연종합정비
4th row사직자동차정비
5th row서주모터스
ValueCountFrequency (%)
지에스건설㈜ 3
 
4.5%
현대세차장 1
 
1.5%
광신석유㈜충렬대로주유소 1
 
1.5%
동래우리들병원 1
 
1.5%
동래봉생병원 1
 
1.5%
천수세차장 1
 
1.5%
동방석유㈜푸른주유소 1
 
1.5%
광혜병원 1
 
1.5%
충렬주유소 1
 
1.5%
대원주유소 1
 
1.5%
Other values (55) 55
82.1%
2023-12-13T08:33:10.747900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 17
 
3.6%
㈜ 16
 
3.4%
주 16
 
3.4%
원 13
 
2.8%
래 12
 
2.5%
차 12
 
2.5%
장 12
 
2.5%
소 11
 
2.3%
유 11
 
2.3%
세 11
 
2.3%
Other values (139) 340
72.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 420
89.2%
Other Symbol 16
 
3.4%
Uppercase Letter 9
 
1.9%
Space Separator 8
 
1.7%
Close Punctuation 8
 
1.7%
Open Punctuation 8
 
1.7%
Decimal Number 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 17
 
4.0%
주 16
 
3.8%
원 13
 
3.1%
래 12
 
2.9%
차 12
 
2.9%
장 12
 
2.9%
소 11
 
2.6%
유 11
 
2.6%
세 11
 
2.6%
지 10
 
2.4%
Other values (126) 295
70.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
22.2%
G 2
22.2%
O 1
11.1%
K 1
11.1%
J 1
11.1%
V 1
11.1%
S 1
11.1%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 16
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
92.6%
Common 26
 
5.5%
Latin 9
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 17
 
3.9%
㈜ 16
 
3.7%
주 16
 
3.7%
원 13
 
3.0%
래 12
 
2.8%
차 12
 
2.8%
장 12
 
2.8%
소 11
 
2.5%
유 11
 
2.5%
세 11
 
2.5%
Other values (127) 305
70.0%
Latin
ValueCountFrequency (%)
C 2
22.2%
G 2
22.2%
O 1
11.1%
K 1
11.1%
J 1
11.1%
V 1
11.1%
S 1
11.1%
Common
ValueCountFrequency (%)
8
30.8%
) 8
30.8%
( 8
30.8%
4 1
 
3.8%
2 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 420
89.2%
ASCII 35
 
7.4%
None 16
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 17
 
4.0%
주 16
 
3.8%
원 13
 
3.1%
래 12
 
2.9%
차 12
 
2.9%
장 12
 
2.9%
소 11
 
2.6%
유 11
 
2.6%
세 11
 
2.6%
지 10
 
2.4%
Other values (126) 295
70.2%
None
ValueCountFrequency (%)
㈜ 16
100.0%
ASCII
ValueCountFrequency (%)
8
22.9%
) 8
22.9%
( 8
22.9%
C 2
 
5.7%
G 2
 
5.7%
4 1
 
2.9%
2 1
 
2.9%
O 1
 
2.9%
K 1
 
2.9%
J 1
 
2.9%
Other values (2) 2
 
5.7%

도로명주소
Text

Distinct56
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size612.0 B
2023-12-13T08:33:11.056401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length28
Mean length23.283333
Min length16

Characters and Unicode

Total characters1397
Distinct characters72
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

Unique54 ?
Unique (%)90.0%

Sample

1st row부신광역시 동래구 반송로 222 (안락동)
2nd row부신광역시 동래구 명륜로 51 (수안동)
3rd row부신광역시 동래구 여고로 68 (사직동)
4th row부신광역시 동래구 우장춘로 8 (온천동)
5th row부신광역시 동래구 금강로106번길 15(온천동)
ValueCountFrequency (%)
부신광역시 60
22.1%
동래구 60
22.1%
충렬대로 14
 
5.2%
안락동 9
 
3.3%
중앙대로 7
 
2.6%
사직동 7
 
2.6%
온천동 6
 
2.2%
미남로 5
 
1.8%
1523(온천동 4
 
1.5%
명륜로 3
 
1.1%
Other values (82) 96
35.4%
2023-12-13T08:33:11.521799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
212
 
15.2%
동 121
 
8.7%
시 64
 
4.6%
래 63
 
4.5%
부 60
 
4.3%
구 60
 
4.3%
신 60
 
4.3%
역 60
 
4.3%
광 60
 
4.3%
로 55
 
3.9%
Other values (62) 582
41.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 882
63.1%
Space Separator 212
 
15.2%
Decimal Number 188
 
13.5%
Close Punctuation 53
 
3.8%
Open Punctuation 53
 
3.8%
Dash Punctuation 8
 
0.6%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 121
13.7%
시 64
 
7.3%
래 63
 
7.1%
부 60
 
6.8%
구 60
 
6.8%
신 60
 
6.8%
역 60
 
6.8%
광 60
 
6.8%
로 55
 
6.2%
천 26
 
2.9%
Other values (47) 253
28.7%
Decimal Number
ValueCountFrequency (%)
1 46
24.5%
2 30
16.0%
3 24
12.8%
5 19
10.1%
8 18
 
9.6%
0 16
 
8.5%
4 10
 
5.3%
9 10
 
5.3%
6 9
 
4.8%
7 6
 
3.2%
Space Separator
ValueCountFrequency (%)
212
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 882
63.1%
Common 515
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 121
13.7%
시 64
 
7.3%
래 63
 
7.1%
부 60
 
6.8%
구 60
 
6.8%
신 60
 
6.8%
역 60
 
6.8%
광 60
 
6.8%
로 55
 
6.2%
천 26
 
2.9%
Other values (47) 253
28.7%
Common
ValueCountFrequency (%)
212
41.2%
) 53
 
10.3%
( 53
 
10.3%
1 46
 
8.9%
2 30
 
5.8%
3 24
 
4.7%
5 19
 
3.7%
8 18
 
3.5%
0 16
 
3.1%
4 10
 
1.9%
Other values (5) 34
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 882
63.1%
ASCII 515
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
212
41.2%
) 53
 
10.3%
( 53
 
10.3%
1 46
 
8.9%
2 30
 
5.8%
3 24
 
4.7%
5 19
 
3.7%
8 18
 
3.5%
0 16
 
3.1%
4 10
 
1.9%
Other values (5) 34
 
6.6%
Hangul
ValueCountFrequency (%)
동 121
13.7%
시 64
 
7.3%
래 63
 
7.1%
부 60
 
6.8%
구 60
 
6.8%
신 60
 
6.8%
역 60
 
6.8%
광 60
 
6.8%
로 55
 
6.2%
천 26
 
2.9%
Other values (47) 253
28.7%

업종
Categorical

Distinct16
Distinct (%)26.7%
Missing0
Missing (%)0.0%
Memory size612.0 B
세차
16 
병원
11 
세차(기계식)
11 
정비
5 
건설업
4 
Other values (11)
13 

Length

Max length7
Median length2
Mean length3.2333333
Min length2

Unique

Unique9 ?
Unique (%)15.0%

Sample

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

Common Values

ValueCountFrequency (%)
세차 16
26.7%
병원 11
18.3%
세차(기계식) 11
18.3%
정비 5
 
8.3%
건설업 4
 
6.7%
서비스 2
 
3.3%
부동산 2
 
3.3%
목욕업 1
 
1.7%
호텔 1
 
1.7%
관공서 1
 
1.7%
Other values (6) 6
 
10.0%

Length

2023-12-13T08:33:11.657373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
세차 16
26.7%
병원 11
18.3%
세차(기계식 11
18.3%
정비 5
 
8.3%
건설업 4
 
6.7%
서비스 2
 
3.3%
부동산 2
 
3.3%
목욕업 1
 
1.7%
호텔 1
 
1.7%
관공서 1
 
1.7%
Other values (6) 6
 
10.0%

전화번호
Text

MISSING 

Distinct56
Distinct (%)94.9%
Missing1
Missing (%)1.7%
Memory size612.0 B
2023-12-13T08:33:11.907082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters708
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

Unique54 ?
Unique (%)91.5%

Sample

1st row051-552-3110
2nd row051-550-6821
3rd row051-504-0660
4th row051-556-5233
5th row051-554-8200
ValueCountFrequency (%)
051-710-3085 3
 
5.1%
051-550-2605 2
 
3.4%
051-555-0450 1
 
1.7%
051-552-0340 1
 
1.7%
051-552-3110 1
 
1.7%
051-555-3827 1
 
1.7%
051-522-0100 1
 
1.7%
051-502-0733 1
 
1.7%
051-555-6533 1
 
1.7%
051-559-9262 1
 
1.7%
Other values (46) 46
78.0%
2023-12-13T08:33:12.300250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 172
24.3%
0 129
18.2%
- 118
16.7%
1 89
12.6%
2 49
 
6.9%
3 39
 
5.5%
6 29
 
4.1%
4 25
 
3.5%
8 24
 
3.4%
7 18
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 590
83.3%
Dash Punctuation 118
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 172
29.2%
0 129
21.9%
1 89
15.1%
2 49
 
8.3%
3 39
 
6.6%
6 29
 
4.9%
4 25
 
4.2%
8 24
 
4.1%
7 18
 
3.1%
9 16
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 708
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 172
24.3%
0 129
18.2%
- 118
16.7%
1 89
12.6%
2 49
 
6.9%
3 39
 
5.5%
6 29
 
4.1%
4 25
 
3.5%
8 24
 
3.4%
7 18
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 708
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 172
24.3%
0 129
18.2%
- 118
16.7%
1 89
12.6%
2 49
 
6.9%
3 39
 
5.5%
6 29
 
4.1%
4 25
 
3.5%
8 24
 
3.4%
7 18
 
2.5%

위도
Real number (ℝ)

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.204248
Minimum35.187491
Maximum35.221294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T08:33:12.525231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.187491
5-th percentile35.19372
Q135.197843
median35.202111
Q335.209663
95-th percentile35.221294
Maximum35.221294
Range0.033803
Interquartile range (IQR)0.01181955

Descriptive statistics

Standard deviation0.0088398611
Coefficient of variation (CV)0.00025110212
Kurtosis-0.48230936
Mean35.204248
Median Absolute Deviation (MAD)0.0049742
Skewness0.56822558
Sum2112.2549
Variance7.8143145 × 10-5
MonotonicityNot monotonic
2023-12-13T08:33:12.691970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.2212937 4
 
6.7%
35.1966791 2
 
3.3%
35.2118021 2
 
3.3%
35.2004502 1
 
1.7%
35.1964797 1
 
1.7%
35.2067787 1
 
1.7%
35.2033759 1
 
1.7%
35.1993965 1
 
1.7%
35.2044639 1
 
1.7%
35.1944656 1
 
1.7%
Other values (45) 45
75.0%
ValueCountFrequency (%)
35.1874907 1
1.7%
35.1894584 1
1.7%
35.1909183 1
1.7%
35.1938676 1
1.7%
35.1943032 1
1.7%
35.1944656 1
1.7%
35.1950263 1
1.7%
35.1959088 1
1.7%
35.1964797 1
1.7%
35.1966791 2
3.3%
ValueCountFrequency (%)
35.2212937 4
6.7%
35.2211375 1
 
1.7%
35.2199942 1
 
1.7%
35.2199294 1
 
1.7%
35.2182779 1
 
1.7%
35.2173385 1
 
1.7%
35.2157731 1
 
1.7%
35.2119855 1
 
1.7%
35.2118021 2
3.3%
35.2116292 1
 
1.7%

경도
Real number (ℝ)

Distinct55
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.08502
Minimum129.0584
Maximum129.11391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size672.0 B
2023-12-13T08:33:12.866107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.0584
5-th percentile129.06682
Q1129.0757
median129.08427
Q3129.09268
95-th percentile129.10984
Maximum129.11391
Range0.0555053
Interquartile range (IQR)0.0169729

Descriptive statistics

Standard deviation0.013331751
Coefficient of variation (CV)0.00010327884
Kurtosis-0.53826516
Mean129.08502
Median Absolute Deviation (MAD)0.00851205
Skewness0.33673057
Sum7745.1011
Variance0.00017773557
MonotonicityNot monotonic
2023-12-13T08:33:13.059803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.0855784 4
 
6.7%
129.0925668 2
 
3.3%
129.0774473 2
 
3.3%
129.0983778 1
 
1.7%
129.1068334 1
 
1.7%
129.1027076 1
 
1.7%
129.0669317 1
 
1.7%
129.0584048 1
 
1.7%
129.0876913 1
 
1.7%
129.064701 1
 
1.7%
Other values (45) 45
75.0%
ValueCountFrequency (%)
129.0584048 1
1.7%
129.0632015 1
1.7%
129.064701 1
1.7%
129.0669317 1
1.7%
129.0680379 1
1.7%
129.0694345 1
1.7%
129.0698402 1
1.7%
129.0702266 1
1.7%
129.0706418 1
1.7%
129.0708771 1
1.7%
ValueCountFrequency (%)
129.1139101 1
1.7%
129.1110641 1
1.7%
129.1102001 1
1.7%
129.1098175 1
1.7%
129.1085532 1
1.7%
129.1068334 1
1.7%
129.1030268 1
1.7%
129.1027076 1
1.7%
129.1004664 1
1.7%
129.0997159 1
1.7%

Interactions

2023-12-13T08:33:09.349256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:33:09.152804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:33:09.460231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:33:09.245202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:33:13.189236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명도로명주소업종전화번호위도경도
업체명1.0000.9751.0001.0000.0000.861
도로명주소0.9751.0000.0000.9521.0001.000
업종1.0000.0001.0000.4360.5120.000
전화번호1.0000.9520.4361.0000.0000.935
위도0.0001.0000.5120.0001.0000.760
경도0.8611.0000.0000.9350.7601.000
2023-12-13T08:33:13.310275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.000-0.2850.203
경도-0.2851.0000.000
업종0.2030.0001.000

Missing values

2023-12-13T08:33:09.607964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:33:09.761818image/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

시도명구군명업체명도로명주소업종전화번호위도경도
0부산광역시동래구신일정비부신광역시 동래구 반송로 222 (안락동)정비051-552-311035.20045129.098378
1부산광역시동래구르노코리아자동차(주)동래사업소부신광역시 동래구 명륜로 51 (수안동)정비051-550-682135.198962129.083989
2부산광역시동래구제연종합정비부신광역시 동래구 여고로 68 (사직동)정비051-504-066035.195909129.071376
3부산광역시동래구사직자동차정비부신광역시 동래구 우장춘로 8 (온천동)정비051-556-523335.208598129.070227
4부산광역시동래구서주모터스부신광역시 동래구 금강로106번길 15(온천동)정비051-554-820035.218278129.080044
5부산광역시동래구㈜농심(허심청)부신광역시 동래구 온천장로107번길32(온천동)목욕업051-550-260535.221137129.082687
6부산광역시동래구㈜농심부신광역시 동래구 금강공원로20번길23(온천동)호텔051-550-260535.219929129.082143
7부산광역시동래구대동병원부신광역시 동래구 충렬대로 187(명륜동)병원051-550-944335.204233129.080222
8부산광역시동래구롯데쇼핑㈜롯데마트동래점부신광역시 동래구 중앙대로 1393(온천동)서비스051-668-258035.211802129.077447
9부산광역시동래구동래구청(국민체육센터)부신광역시 동래구 미남로 110(온천동)관공서051-550-107435.203615129.06984
시도명구군명업체명도로명주소업종전화번호위도경도
50부산광역시동래구타이어테크명장점부신광역시 동래구 시실로 198-1(명장동)세차051-526-101035.206436129.099716
51부산광역시동래구사직24시셀프세차타운부신광역시 동래구 여고로 129(사직동)세차<NA>35.199249129.076826
52부산광역시동래구지에스건설㈜부신광역시 동래구 안락동 111-13건설업051-710-308535.189458129.1102
53부산광역시동래구㈜삼성에너지부신광역시 동래구 명륜로 48(수안동)세차(기계식)051-555-310435.19814129.084673
54부산광역시동래구지에스건설㈜부신광역시 동래구 낙민동 80건설업051-710-308535.193868129.091904
55부산광역시동래구서천건설㈜부신광역시 동래구 온천동 1186건설업051-337-931235.209191129.063201
56부산광역시동래구한성세차장부신광역시 동래구 안락동 178-7세차051-525-222235.190918129.111064
57부산광역시동래구지에스건설㈜부신광역시 동래구 사직동 3-2건설업051-710-308535.200536129.077763
58부산광역시동래구천수세차장부신광역시 동래구 온천장로 42세차051-555-045035.215773129.079849
59부산광역시동래구새봄병원부신광역시 동래구 충렬대로 152병원051-503-828835.20094129.090343