Overview

Dataset statistics

Number of variables8
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory68.2 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description부산광역시 동구 2023. 6. 13. 기준 환경오염물질 배출사업장 현황 자료(업체명, 도로명주소, 업종 등)입니다.
URLhttps://www.data.go.kr/data/15100370/fileData.do

Alerts

구군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
업체명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:18:43.341565
Analysis finished2023-12-12 03:18:44.419983
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
동구
59 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동구 59
100.0%

Length

2023-12-12T12:18:44.483877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:44.574282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동구 59
100.0%

업체명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:18:44.762871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length11.677966
Min length4

Characters and Unicode

Total characters689
Distinct characters171
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

Unique59 ?
Unique (%)100.0%

Sample

1st row대한제분(주) 부산공장
2nd row사조동아원(주) 부산공장
3rd row(주)마이카써비스
4th row고려사일로(주)
5th row조은자동차서비스(주)
ValueCountFrequency (%)
부산공장 2
 
2.3%
주식회사 2
 
2.3%
사단법인 2
 
2.3%
주)모비토 1
 
1.1%
동방석유(주)초량주유소 1
 
1.1%
씨젠부산의원 1
 
1.1%
재)씨젠의료재단 1
 
1.1%
코레일로지스(주 1
 
1.1%
한국가스산업(주 1
 
1.1%
인창병원 1
 
1.1%
Other values (74) 74
85.1%
2023-12-12T12:18:45.396592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 43
 
6.2%
( 35
 
5.1%
) 35
 
5.1%
산 29
 
4.2%
28
 
4.1%
부 28
 
4.1%
스 16
 
2.3%
유 13
 
1.9%
사 12
 
1.7%
원 11
 
1.6%
Other values (161) 439
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 579
84.0%
Open Punctuation 35
 
5.1%
Close Punctuation 35
 
5.1%
Space Separator 28
 
4.1%
Uppercase Letter 5
 
0.7%
Other Symbol 4
 
0.6%
Other Punctuation 2
 
0.3%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 43
 
7.4%
산 29
 
5.0%
부 28
 
4.8%
스 16
 
2.8%
유 13
 
2.2%
사 12
 
2.1%
원 11
 
1.9%
일 11
 
1.9%
소 11
 
1.9%
한 10
 
1.7%
Other values (149) 395
68.2%
Uppercase Letter
ValueCountFrequency (%)
L 1
20.0%
P 1
20.0%
G 1
20.0%
T 1
20.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 583
84.6%
Common 101
 
14.7%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 43
 
7.4%
산 29
 
5.0%
부 28
 
4.8%
스 16
 
2.7%
유 13
 
2.2%
사 12
 
2.1%
원 11
 
1.9%
일 11
 
1.9%
소 11
 
1.9%
한 10
 
1.7%
Other values (150) 399
68.4%
Common
ValueCountFrequency (%)
( 35
34.7%
) 35
34.7%
28
27.7%
, 1
 
1.0%
3 1
 
1.0%
. 1
 
1.0%
Latin
ValueCountFrequency (%)
L 1
20.0%
P 1
20.0%
G 1
20.0%
T 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 579
84.0%
ASCII 106
 
15.4%
None 4
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 43
 
7.4%
산 29
 
5.0%
부 28
 
4.8%
스 16
 
2.8%
유 13
 
2.2%
사 12
 
2.1%
원 11
 
1.9%
일 11
 
1.9%
소 11
 
1.9%
한 10
 
1.7%
Other values (149) 395
68.2%
ASCII
ValueCountFrequency (%)
( 35
33.0%
) 35
33.0%
28
26.4%
L 1
 
0.9%
P 1
 
0.9%
G 1
 
0.9%
, 1
 
0.9%
3 1
 
0.9%
T 1
 
0.9%
K 1
 
0.9%
None
ValueCountFrequency (%)
㈜ 4
100.0%

도로명주소
Text

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:18:45.638200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length24.779661
Min length20

Characters and Unicode

Total characters1462
Distinct characters102
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

Unique53 ?
Unique (%)89.8%

Sample

1st row부산광역시 동구 충장대로 301(좌천동)
2nd row부산광역시 동구 충장대로 293(좌천동)
3rd row부산광역시 동구 성남로 39(좌천동)
4th row부산광역시 동구 충장대로 314(좌천동)
5th row부산광역시 동구 중앙대로 542-1(범일동)
ValueCountFrequency (%)
동구 60
23.4%
부산광역시 59
23.0%
중앙대로 19
 
7.4%
충장대로 12
 
4.7%
성남로 4
 
1.6%
범일로 3
 
1.2%
자성로133번길 3
 
1.2%
42(좌천동 2
 
0.8%
305(좌천동 2
 
0.8%
206(초량동 2
 
0.8%
Other values (87) 90
35.2%
2023-12-12T12:18:46.017093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
13.5%
동 120
 
8.2%
부 68
 
4.7%
산 68
 
4.7%
구 63
 
4.3%
시 61
 
4.2%
역 60
 
4.1%
광 59
 
4.0%
) 58
 
4.0%
로 58
 
4.0%
Other values (92) 649
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 935
64.0%
Space Separator 198
 
13.5%
Decimal Number 192
 
13.1%
Close Punctuation 58
 
4.0%
Open Punctuation 58
 
4.0%
Other Punctuation 14
 
1.0%
Dash Punctuation 7
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 120
 
12.8%
부 68
 
7.3%
산 68
 
7.3%
구 63
 
6.7%
시 61
 
6.5%
역 60
 
6.4%
광 59
 
6.3%
로 58
 
6.2%
대 40
 
4.3%
앙 26
 
2.8%
Other values (77) 312
33.4%
Decimal Number
ValueCountFrequency (%)
1 42
21.9%
2 36
18.8%
3 30
15.6%
4 18
9.4%
5 14
 
7.3%
0 13
 
6.8%
7 11
 
5.7%
8 11
 
5.7%
6 9
 
4.7%
9 8
 
4.2%
Space Separator
ValueCountFrequency (%)
198
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 935
64.0%
Common 527
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 120
 
12.8%
부 68
 
7.3%
산 68
 
7.3%
구 63
 
6.7%
시 61
 
6.5%
역 60
 
6.4%
광 59
 
6.3%
로 58
 
6.2%
대 40
 
4.3%
앙 26
 
2.8%
Other values (77) 312
33.4%
Common
ValueCountFrequency (%)
198
37.6%
) 58
 
11.0%
( 58
 
11.0%
1 42
 
8.0%
2 36
 
6.8%
3 30
 
5.7%
4 18
 
3.4%
, 14
 
2.7%
5 14
 
2.7%
0 13
 
2.5%
Other values (5) 46
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 935
64.0%
ASCII 527
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
37.6%
) 58
 
11.0%
( 58
 
11.0%
1 42
 
8.0%
2 36
 
6.8%
3 30
 
5.7%
4 18
 
3.4%
, 14
 
2.7%
5 14
 
2.7%
0 13
 
2.5%
Other values (5) 46
 
8.7%
Hangul
ValueCountFrequency (%)
동 120
 
12.8%
부 68
 
7.3%
산 68
 
7.3%
구 63
 
6.7%
시 61
 
6.5%
역 60
 
6.4%
광 59
 
6.3%
로 58
 
6.2%
대 40
 
4.3%
앙 26
 
2.8%
Other values (77) 312
33.4%

업종
Text

Distinct30
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:18:46.221220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length9.7966102
Min length3

Characters and Unicode

Total characters578
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)33.9%

Sample

1st row음식료품제조업
2nd row식료품제조가공업
3rd row자동차종합수리업
4th row기타(저장)시설
5th row자동차정비업
ValueCountFrequency (%)
및 15
 
10.7%
운수장비 13
 
9.3%
세차 13
 
9.3%
또는 13
 
9.3%
세척시설 13
 
9.3%
수선 13
 
9.3%
주유소운영업 8
 
5.7%
병원시설 4
 
2.9%
비주거용 3
 
2.1%
자동차종합수리업 2
 
1.4%
Other values (34) 43
30.7%
2023-12-12T12:18:46.580203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
14.0%
업 35
 
6.1%
수 28
 
4.8%
세 28
 
4.8%
시 26
 
4.5%
설 25
 
4.3%
운 22
 
3.8%
비 22
 
3.8%
차 18
 
3.1%
및 15
 
2.6%
Other values (77) 278
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
84.9%
Space Separator 81
 
14.0%
Other Punctuation 2
 
0.3%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 35
 
7.1%
수 28
 
5.7%
세 28
 
5.7%
시 26
 
5.3%
설 25
 
5.1%
운 22
 
4.5%
비 22
 
4.5%
차 18
 
3.7%
및 15
 
3.1%
장 14
 
2.9%
Other values (73) 258
52.5%
Space Separator
ValueCountFrequency (%)
81
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
84.9%
Common 87
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 35
 
7.1%
수 28
 
5.7%
세 28
 
5.7%
시 26
 
5.3%
설 25
 
5.1%
운 22
 
4.5%
비 22
 
4.5%
차 18
 
3.7%
및 15
 
3.1%
장 14
 
2.9%
Other values (73) 258
52.5%
Common
ValueCountFrequency (%)
81
93.1%
, 2
 
2.3%
( 2
 
2.3%
) 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
84.9%
ASCII 87
 
15.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
93.1%
, 2
 
2.3%
( 2
 
2.3%
) 2
 
2.3%
Hangul
ValueCountFrequency (%)
업 35
 
7.1%
수 28
 
5.7%
세 28
 
5.7%
시 26
 
5.3%
설 25
 
5.1%
운 22
 
4.5%
비 22
 
4.5%
차 18
 
3.7%
및 15
 
3.1%
장 14
 
2.9%
Other values (73) 258
52.5%

전화번호
Text

Distinct57
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T12:18:46.819910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.016949
Min length12

Characters and Unicode

Total characters709
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

Unique56 ?
Unique (%)94.9%

Sample

1st row051-630-8100
2nd row051-632-0601
3rd row051-633-2661
4th row051-634-3131
5th row051-633-1256
ValueCountFrequency (%)
051-469-3879 3
 
5.1%
051-630-8100 1
 
1.7%
051-642-7740 1
 
1.7%
051-644-2002 1
 
1.7%
051-463-5111 1
 
1.7%
051-469-1877 1
 
1.7%
051-893-5840 1
 
1.7%
051-466-1001 1
 
1.7%
051-500-8500 1
 
1.7%
051-466-1231 1
 
1.7%
Other values (47) 47
79.7%
2023-12-12T12:18:47.294002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 121
17.1%
- 118
16.6%
1 108
15.2%
5 87
12.3%
6 73
10.3%
4 63
8.9%
3 40
 
5.6%
9 27
 
3.8%
2 27
 
3.8%
8 24
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 591
83.4%
Dash Punctuation 118
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 121
20.5%
1 108
18.3%
5 87
14.7%
6 73
12.4%
4 63
10.7%
3 40
 
6.8%
9 27
 
4.6%
2 27
 
4.6%
8 24
 
4.1%
7 21
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 709
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 121
17.1%
- 118
16.6%
1 108
15.2%
5 87
12.3%
6 73
10.3%
4 63
8.9%
3 40
 
5.6%
9 27
 
3.8%
2 27
 
3.8%
8 24
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 709
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 121
17.1%
- 118
16.6%
1 108
15.2%
5 87
12.3%
6 73
10.3%
4 63
8.9%
3 40
 
5.6%
9 27
 
3.8%
2 27
 
3.8%
8 24
 
3.4%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.127131
Minimum35.111658
Maximum35.142501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T12:18:47.492414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.111658
5-th percentile35.113606
Q135.120392
median35.126501
Q335.133551
95-th percentile35.14084
Maximum35.142501
Range0.030843
Interquartile range (IQR)0.013159

Descriptive statistics

Standard deviation0.0088741491
Coefficient of variation (CV)0.00025262949
Kurtosis-0.96951478
Mean35.127131
Median Absolute Deviation (MAD)0.007517
Skewness-0.024819887
Sum2072.5007
Variance7.8750522 × 10-5
MonotonicityNot monotonic
2023-12-12T12:18:47.662781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.113735 2
 
3.4%
35.126372 2
 
3.4%
35.130629 2
 
3.4%
35.124017 1
 
1.7%
35.140788 1
 
1.7%
35.126136 1
 
1.7%
35.118984 1
 
1.7%
35.137105 1
 
1.7%
35.112362 1
 
1.7%
35.111658 1
 
1.7%
Other values (46) 46
78.0%
ValueCountFrequency (%)
35.111658 1
1.7%
35.112362 1
1.7%
35.112927 1
1.7%
35.113681 1
1.7%
35.113735 2
3.4%
35.114242 1
1.7%
35.114328 1
1.7%
35.115364 1
1.7%
35.116562 1
1.7%
35.11685 1
1.7%
ValueCountFrequency (%)
35.142501 1
1.7%
35.141625 1
1.7%
35.141306 1
1.7%
35.140788 1
1.7%
35.140151 1
1.7%
35.140059 1
1.7%
35.140058 1
1.7%
35.138955 1
1.7%
35.138274 1
1.7%
35.13772 1
1.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct56
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.05028
Minimum129.03876
Maximum129.06409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-12T12:18:47.826874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.03876
5-th percentile129.03973
Q1129.04311
median129.05057
Q3129.05714
95-th percentile129.063
Maximum129.06409
Range0.025326
Interquartile range (IQR)0.0140335

Descriptive statistics

Standard deviation0.0078384264
Coefficient of variation (CV)6.0739322 × 10-5
Kurtosis-1.3005652
Mean129.05028
Median Absolute Deviation (MAD)0.006739
Skewness0.21802918
Sum7613.9664
Variance6.1440929 × 10-5
MonotonicityNot monotonic
2023-12-12T12:18:48.023158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
129.042616 2
 
3.4%
129.057227 2
 
3.4%
129.054923 2
 
3.4%
129.045029 1
 
1.7%
129.059048 1
 
1.7%
129.047053 1
 
1.7%
129.041289 1
 
1.7%
129.045153 1
 
1.7%
129.038759 1
 
1.7%
129.039902 1
 
1.7%
Other values (46) 46
78.0%
ValueCountFrequency (%)
129.038759 1
1.7%
129.039084 1
1.7%
129.039434 1
1.7%
129.03976 1
1.7%
129.039902 1
1.7%
129.040329 1
1.7%
129.04088 1
1.7%
129.041289 1
1.7%
129.041793 1
1.7%
129.042037 1
1.7%
ValueCountFrequency (%)
129.064085 1
1.7%
129.064074 1
1.7%
129.063055 1
1.7%
129.06299 1
1.7%
129.062837 1
1.7%
129.062514 1
1.7%
129.062454 1
1.7%
129.059048 1
1.7%
129.058962 1
1.7%
129.0588 1
1.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-06-13
59 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-13
2nd row2023-06-13
3rd row2023-06-13
4th row2023-06-13
5th row2023-06-13

Common Values

ValueCountFrequency (%)
2023-06-13 59
100.0%

Length

2023-12-12T12:18:48.229340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:18:48.345372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-13 59
100.0%

Interactions

2023-12-12T12:18:44.033749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:43.859059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:44.127126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:18:43.946129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:18:48.423054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명도로명주소업종전화번호위도경도
업체명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0000.9930.9981.0001.000
업종1.0000.9931.0000.9990.5820.000
전화번호1.0000.9980.9991.0000.9760.958
위도1.0001.0000.5820.9761.0000.810
경도1.0001.0000.0000.9580.8101.000
2023-12-12T12:18:48.530105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.899
경도0.8991.000

Missing values

2023-12-12T12:18:44.245809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:18:44.372329image/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
0동구대한제분(주) 부산공장부산광역시 동구 충장대로 301(좌천동)음식료품제조업051-630-810035.126434129.0532782023-06-13
1동구사조동아원(주) 부산공장부산광역시 동구 충장대로 293(좌천동)식료품제조가공업051-632-060135.128402129.0518662023-06-13
2동구(주)마이카써비스부산광역시 동구 성남로 39(좌천동)자동차종합수리업051-633-266135.130447129.0541192023-06-13
3동구고려사일로(주)부산광역시 동구 충장대로 314(좌천동)기타(저장)시설051-634-313135.126372129.0572272023-06-13
4동구조은자동차서비스(주)부산광역시 동구 중앙대로 542-1(범일동)자동차정비업051-633-125635.141625129.0570622023-06-13
5동구와이지모터스부산광역시 동구 자성로108번길 20(범일동)자동차정비업051-643-344535.135083129.062992023-06-13
6동구동구자동차서비스(주)부산광역시 동구 중앙대로548번길 6(범일동)자동차종합수리업051-643-775035.142501129.0569642023-06-13
7동구삼성화재해상보험(주)부산지점부산광역시 동구 중앙대로 184(초량동, 삼성화재빌딩)사업시설유지관리서비스업051-461-811835.113681129.0394342023-06-13
8동구파크빌딩부산광역시 동구 조방로 22(범일동)건물 임대업051-647-452035.138955129.0625142023-06-13
9동구(주)케이티에스테이트KT범일타워부산광역시 동구 자성공원로 23(범일동)부동산 관리업051-638-063835.13772129.0624542023-06-13
구군명업체명도로명주소업종전화번호위도경도데이터기준일자
49동구대양산업(주)대박주유소부산광역시 동구 성남로 42(좌천동)주유소운영업051-634-525235.130629129.0549232023-06-13
50동구동방석유(주)형제주유소부산광역시 동구 자성로 127(범일동)주유소운영업051-646-234535.13739129.0640852023-06-13
51동구비에스에너지(주)구도일부산진부산광역시 동구 중앙대로 414(좌천동)주유소운영업051-644-620035.13126129.0518042023-06-13
52동구부산벙커앤오일(주)청구주유소부산광역시 동구 충장대로 281(좌천동)주유소운영업051-635-969835.126226129.0512892023-06-13
53동구좌천, 범일구역통합3지구도시환경정비사업조합부산광역시 동구 범일동 252-1562공동주택051-638-007135.132019129.0577462023-06-13
54동구현대해상화재보험㈜ 부산사업부부산광역시 동구 중앙대로 240(초량동)손해보험업051-960-110335.118398129.0417932023-06-13
55동구메리츠화재해상보험㈜ 부산메리츠타워부산광역시 동구 중앙대로 331(초량동)손해보험업051-901-002135.125978129.0453462023-06-13
56동구한국철도공사 부산경남본부(부산역)부산광역시 동구 중앙대로 206(초량동)철도여객운송업051-440-248735.115364129.0426532023-06-13
57동구㈜한국환경기술연구원부산광역시 동구 중앙대로 298(초량동, 1층)서비스업(기타 기술시험, 검사 및 분석업)051-441-759935.123156129.0443512023-06-13
58동구씨제이대한통운(주)부산주유소부산광역시 동구 충장대로 305(좌천동)주유소운영업051-469-387935.126525129.053782023-06-13