Overview

Dataset statistics

Number of variables8
Number of observations348
Missing cells31
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.2 KiB
Average record size in memory65.4 B

Variable types

Numeric1
Text4
Categorical3

Dataset

Description부산광역시_기장군_환경오염물질배출시설현황_20230208
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15036230

Alerts

기타사항 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
대기 신고 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
수질 신고 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with 대기 신고 and 2 other fieldsHigh correlation
기타사항 is highly imbalanced (56.7%)Imbalance
전화번호 has 31 (8.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:51:52.603524
Analysis finished2023-12-10 16:51:53.593210
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct348
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.5
Minimum1
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T01:51:53.708527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.35
Q187.75
median174.5
Q3261.25
95-th percentile330.65
Maximum348
Range347
Interquartile range (IQR)173.5

Descriptive statistics

Standard deviation100.60318
Coefficient of variation (CV)0.57652253
Kurtosis-1.2
Mean174.5
Median Absolute Deviation (MAD)87
Skewness0
Sum60726
Variance10121
MonotonicityStrictly increasing
2023-12-11T01:51:53.883870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
231 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
Other values (338) 338
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%

사업장명
Text

Distinct347
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T01:51:54.186420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length22
Mean length8.2212644
Min length2

Characters and Unicode

Total characters2861
Distinct characters351
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

Unique346 ?
Unique (%)99.4%

Sample

1st row지아고케미칼㈜
2nd row동래석재
3rd row부산여객자동차(주)
4th row동남세차장
5th row㈜성우하이텍
ValueCountFrequency (%)
주식회사 15
 
3.6%
장안공장 3
 
0.7%
정관공장 3
 
0.7%
정관지점 3
 
0.7%
한국수력원자력㈜고리원자력본부 2
 
0.5%
고려r&p 2
 
0.5%
동래석재 2
 
0.5%
㈜디알모빌리티 2
 
0.5%
한국수력원자력(주)고리원자력본부 2
 
0.5%
우성단열산업 2
 
0.5%
Other values (374) 375
91.2%
2023-12-11T01:51:54.620526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 126
 
4.4%
주 124
 
4.3%
( 95
 
3.3%
) 95
 
3.3%
스 66
 
2.3%
66
 
2.3%
장 58
 
2.0%
산 52
 
1.8%
공 51
 
1.8%
이 50
 
1.7%
Other values (341) 2078
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2397
83.8%
Other Symbol 126
 
4.4%
Open Punctuation 95
 
3.3%
Close Punctuation 95
 
3.3%
Space Separator 66
 
2.3%
Uppercase Letter 44
 
1.5%
Decimal Number 25
 
0.9%
Lowercase Letter 6
 
0.2%
Other Punctuation 4
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 124
 
5.2%
스 66
 
2.8%
장 58
 
2.4%
산 52
 
2.2%
공 51
 
2.1%
이 50
 
2.1%
정 46
 
1.9%
동 42
 
1.8%
부 39
 
1.6%
에 39
 
1.6%
Other values (305) 1830
76.3%
Uppercase Letter
ValueCountFrequency (%)
S 7
15.9%
O 6
13.6%
M 4
9.1%
E 3
 
6.8%
R 3
 
6.8%
D 3
 
6.8%
I 3
 
6.8%
G 3
 
6.8%
J 2
 
4.5%
N 2
 
4.5%
Other values (6) 8
18.2%
Decimal Number
ValueCountFrequency (%)
1 11
44.0%
2 6
24.0%
3 3
 
12.0%
0 2
 
8.0%
4 2
 
8.0%
5 1
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
r 1
16.7%
p 1
16.7%
c 1
16.7%
f 1
16.7%
l 1
16.7%
e 1
16.7%
Other Punctuation
ValueCountFrequency (%)
& 2
50.0%
. 1
25.0%
/ 1
25.0%
Other Symbol
ValueCountFrequency (%)
㈜ 126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2523
88.2%
Common 288
 
10.1%
Latin 50
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 126
 
5.0%
주 124
 
4.9%
스 66
 
2.6%
장 58
 
2.3%
산 52
 
2.1%
공 51
 
2.0%
이 50
 
2.0%
정 46
 
1.8%
동 42
 
1.7%
부 39
 
1.5%
Other values (306) 1869
74.1%
Latin
ValueCountFrequency (%)
S 7
14.0%
O 6
12.0%
M 4
 
8.0%
E 3
 
6.0%
R 3
 
6.0%
D 3
 
6.0%
I 3
 
6.0%
G 3
 
6.0%
J 2
 
4.0%
N 2
 
4.0%
Other values (12) 14
28.0%
Common
ValueCountFrequency (%)
( 95
33.0%
) 95
33.0%
66
22.9%
1 11
 
3.8%
2 6
 
2.1%
3 3
 
1.0%
- 3
 
1.0%
0 2
 
0.7%
4 2
 
0.7%
& 2
 
0.7%
Other values (3) 3
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2397
83.8%
ASCII 338
 
11.8%
None 126
 
4.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 126
100.0%
Hangul
ValueCountFrequency (%)
주 124
 
5.2%
스 66
 
2.8%
장 58
 
2.4%
산 52
 
2.2%
공 51
 
2.1%
이 50
 
2.1%
정 46
 
1.9%
동 42
 
1.8%
부 39
 
1.6%
에 39
 
1.6%
Other values (305) 1830
76.3%
ASCII
ValueCountFrequency (%)
( 95
28.1%
) 95
28.1%
66
19.5%
1 11
 
3.3%
S 7
 
2.1%
2 6
 
1.8%
O 6
 
1.8%
M 4
 
1.2%
E 3
 
0.9%
R 3
 
0.9%
Other values (25) 42
12.4%

소재지
Text

Distinct331
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T01:51:54.910776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length13.198276
Min length8

Characters and Unicode

Total characters4593
Distinct characters114
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique320 ?
Unique (%)92.0%

Sample

1st row기장읍 기장대로413번길 10
2nd row정관읍 산단4로 2-13
3rd row기장읍 차성로436번길 11
4th row철마면 반송로 987
5th row정관읍 농공길 2-9
ValueCountFrequency (%)
정관읍 152
 
14.8%
장안읍 108
 
10.5%
기장읍 60
 
5.8%
기장대로 27
 
2.6%
산단7로 19
 
1.8%
산단5로 18
 
1.7%
일광읍 18
 
1.7%
농공길 18
 
1.7%
산단4로 17
 
1.7%
장안산단9로 12
 
1.2%
Other values (357) 580
56.4%
2023-12-11T01:51:55.542339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
776
16.9%
읍 341
 
7.4%
로 271
 
5.9%
1 248
 
5.4%
장 229
 
5.0%
관 189
 
4.1%
정 185
 
4.0%
단 165
 
3.6%
산 163
 
3.5%
2 160
 
3.5%
Other values (104) 1866
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2428
52.9%
Decimal Number 1263
27.5%
Space Separator 776
 
16.9%
Dash Punctuation 106
 
2.3%
Other Punctuation 10
 
0.2%
Close Punctuation 4
 
0.1%
Open Punctuation 4
 
0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
읍 341
14.0%
로 271
11.2%
장 229
9.4%
관 189
 
7.8%
정 185
 
7.6%
단 165
 
6.8%
산 163
 
6.7%
안 138
 
5.7%
기 97
 
4.0%
길 89
 
3.7%
Other values (86) 561
23.1%
Decimal Number
ValueCountFrequency (%)
1 248
19.6%
2 160
12.7%
7 135
10.7%
3 129
10.2%
5 123
9.7%
4 113
8.9%
0 110
8.7%
9 96
 
7.6%
6 89
 
7.0%
8 60
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 8
80.0%
. 2
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
776
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2428
52.9%
Common 2163
47.1%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
읍 341
14.0%
로 271
11.2%
장 229
9.4%
관 189
 
7.8%
정 185
 
7.6%
단 165
 
6.8%
산 163
 
6.7%
안 138
 
5.7%
기 97
 
4.0%
길 89
 
3.7%
Other values (86) 561
23.1%
Common
ValueCountFrequency (%)
776
35.9%
1 248
 
11.5%
2 160
 
7.4%
7 135
 
6.2%
3 129
 
6.0%
5 123
 
5.7%
4 113
 
5.2%
0 110
 
5.1%
- 106
 
4.9%
9 96
 
4.4%
Other values (6) 167
 
7.7%
Latin
ValueCountFrequency (%)
A 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2428
52.9%
ASCII 2165
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
776
35.8%
1 248
 
11.5%
2 160
 
7.4%
7 135
 
6.2%
3 129
 
6.0%
5 123
 
5.7%
4 113
 
5.2%
0 110
 
5.1%
- 106
 
4.9%
9 96
 
4.4%
Other values (8) 169
 
7.8%
Hangul
ValueCountFrequency (%)
읍 341
14.0%
로 271
11.2%
장 229
9.4%
관 189
 
7.8%
정 185
 
7.6%
단 165
 
6.8%
산 163
 
6.7%
안 138
 
5.7%
기 97
 
4.0%
길 89
 
3.7%
Other values (86) 561
23.1%

대기 신고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
○
214 
<NA>
134 

Length

Max length4
Median length1
Mean length2.1551724
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row○
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row○

Common Values

ValueCountFrequency (%)
○ 214
61.5%
<NA> 134
38.5%

Length

2023-12-11T01:51:55.756204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:51:55.921283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 214
61.5%
na 134
38.5%

수질 신고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
○
218 
<NA>
130 

Length

Max length4
Median length1
Mean length2.1206897
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row○
3rd row○
4th row○
5th row○

Common Values

ValueCountFrequency (%)
○ 218
62.6%
<NA> 130
37.4%

Length

2023-12-11T01:51:56.081312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:51:56.228382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
○ 218
62.6%
na 130
37.4%

업종
Text

Distinct183
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-11T01:51:56.584456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length11.816092
Min length2

Characters and Unicode

Total characters4112
Distinct characters207
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)36.8%

Sample

1st row그외 기타 고무제품 제조업
2nd row기타석제품제조업
3rd row시내버스 운송업
4th row자동차 세차업
5th row그외 기타 분류안된 금속가공제품 제조업
ValueCountFrequency (%)
제조업 125
 
13.2%
기타 70
 
7.4%
및 49
 
5.2%
그외 47
 
5.0%
차량용 27
 
2.8%
자동차 26
 
2.7%
자동차세차업 22
 
2.3%
주유소 21
 
2.2%
운영업 21
 
2.2%
자동차종합수리업 21
 
2.2%
Other values (264) 519
54.7%
2023-12-11T01:51:57.254094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
762
18.5%
업 340
 
8.3%
제 257
 
6.2%
조 211
 
5.1%
차 150
 
3.6%
기 131
 
3.2%
품 122
 
3.0%
동 99
 
2.4%
자 95
 
2.3%
타 88
 
2.1%
Other values (197) 1857
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3327
80.9%
Space Separator 762
 
18.5%
Other Punctuation 17
 
0.4%
Decimal Number 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 340
 
10.2%
제 257
 
7.7%
조 211
 
6.3%
차 150
 
4.5%
기 131
 
3.9%
품 122
 
3.7%
동 99
 
3.0%
자 95
 
2.9%
타 88
 
2.6%
외 68
 
2.0%
Other values (193) 1766
53.1%
Decimal Number
ValueCountFrequency (%)
1 5
83.3%
2 1
 
16.7%
Space Separator
ValueCountFrequency (%)
762
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3327
80.9%
Common 785
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 340
 
10.2%
제 257
 
7.7%
조 211
 
6.3%
차 150
 
4.5%
기 131
 
3.9%
품 122
 
3.7%
동 99
 
3.0%
자 95
 
2.9%
타 88
 
2.6%
외 68
 
2.0%
Other values (193) 1766
53.1%
Common
ValueCountFrequency (%)
762
97.1%
, 17
 
2.2%
1 5
 
0.6%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3327
80.9%
ASCII 785
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
762
97.1%
, 17
 
2.2%
1 5
 
0.6%
2 1
 
0.1%
Hangul
ValueCountFrequency (%)
업 340
 
10.2%
제 257
 
7.7%
조 211
 
6.3%
차 150
 
4.5%
기 131
 
3.9%
품 122
 
3.7%
동 99
 
3.0%
자 95
 
2.9%
타 88
 
2.6%
외 68
 
2.0%
Other values (193) 1766
53.1%

전화번호
Text

MISSING 

Distinct301
Distinct (%)95.0%
Missing31
Missing (%)8.9%
Memory size2.8 KiB
2023-12-11T01:51:57.662907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041009
Min length12

Characters and Unicode

Total characters3817
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

Unique289 ?
Unique (%)91.2%

Sample

1st row051-721-0101
2nd row051-728-3384
3rd row051-722-8625
4th row051-722-9991
5th row070-7477-5486
ValueCountFrequency (%)
070-8640-6500 4
 
1.3%
051-721-2150 4
 
1.3%
051-753-2772 2
 
0.6%
051-727-6911 2
 
0.6%
051-904-1112 2
 
0.6%
051-728-3358 2
 
0.6%
051-728-3334 2
 
0.6%
051-728-4127 2
 
0.6%
051-727-6606 2
 
0.6%
051-728-3384 2
 
0.6%
Other values (291) 293
92.4%
2023-12-11T01:51:58.345083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 634
16.6%
0 558
14.6%
1 519
13.6%
5 470
12.3%
7 446
11.7%
2 402
10.5%
8 211
 
5.5%
3 193
 
5.1%
6 148
 
3.9%
4 136
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3183
83.4%
Dash Punctuation 634
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 558
17.5%
1 519
16.3%
5 470
14.8%
7 446
14.0%
2 402
12.6%
8 211
 
6.6%
3 193
 
6.1%
6 148
 
4.6%
4 136
 
4.3%
9 100
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 634
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3817
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 634
16.6%
0 558
14.6%
1 519
13.6%
5 470
12.3%
7 446
11.7%
2 402
10.5%
8 211
 
5.5%
3 193
 
5.1%
6 148
 
3.9%
4 136
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3817
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 634
16.6%
0 558
14.6%
1 519
13.6%
5 470
12.3%
7 446
11.7%
2 402
10.5%
8 211
 
5.5%
3 193
 
5.1%
6 148
 
3.9%
4 136
 
3.6%

기타사항
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
<NA>
317 
개인정보(휴대폰)
 
31

Length

Max length9
Median length4
Mean length4.4454023
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 317
91.1%
개인정보(휴대폰) 31
 
8.9%

Length

2023-12-11T01:51:58.618553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:51:58.830632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 317
91.1%
개인정보(휴대폰 31
 
8.9%

Interactions

2023-12-11T01:51:53.158513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:51:58.968145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번
연번1.000
2023-12-11T01:51:59.136834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기타사항대기 신고수질 신고
기타사항1.0001.0001.000
대기 신고1.0001.0001.000
수질 신고1.0001.0001.000
2023-12-11T01:51:59.313937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대기 신고수질 신고기타사항
연번1.0001.0001.0001.000
대기 신고1.0001.0001.0001.000
수질 신고1.0001.0001.0001.000
기타사항1.0001.0001.0001.000

Missing values

2023-12-11T01:51:53.346235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:51:53.518928image/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

연번사업장명소재지대기 신고수질 신고업종전화번호기타사항
01지아고케미칼㈜기장읍 기장대로413번길 10○<NA>그외 기타 고무제품 제조업051-721-0101<NA>
12동래석재정관읍 산단4로 2-13<NA>○기타석제품제조업051-728-3384<NA>
23부산여객자동차(주)기장읍 차성로436번길 11<NA>○시내버스 운송업051-722-8625<NA>
34동남세차장철마면 반송로 987<NA>○자동차 세차업051-722-9991<NA>
45㈜성우하이텍정관읍 농공길 2-9○○그외 기타 분류안된 금속가공제품 제조업070-7477-5486<NA>
56㈜디케이오스텍정관읍 농공길 23○○그외 기타 분류안된 금속가공제품 제조업051-727-7071<NA>
67태흥이기공업사정관읍 예림리 940-34<NA>○톱 및 호환성공구제조업051-523-8496<NA>
78(주)제일선재정관읍 산단4로 2-27○<NA>금속파스너 및 나사제품 제조업051-727-5525<NA>
89백운1주유소정관읍 정관로 779<NA>○차량용 주유소 운영업051-727-8855<NA>
910(주)고려화학정관읍 용수공단2길 85○○기타 비료 및 질소화합물 제조업051-728-6237<NA>
연번사업장명소재지대기 신고수질 신고업종전화번호기타사항
338339㈜미스터쿡장안읍 오리산단8로 30<NA>○천연및혼합조제 조미료제조업051-702-3233<NA>
339340㈜아이씨맥스 부산기장공장장안읍 오리산단5로 56○○도장및기타피막처리업055-333-7337<NA>
340341국립부산과학관기장읍 동부산관광6로 59○<NA>공공기관051-750-2390<NA>
341342㈜금강튜브텍장안읍 오리산단5로 3○<NA>탭,밸브및 유사장치 제조업051-723-6622<NA>
342343㈜깐깐한 여니씨장안읍 오리산단로 189<NA>○식품제조업<NA>개인정보(휴대폰)
343344서경자동차검사정비정관읍 예림1로 87-36○<NA>자동차수리업051-727-0223<NA>
344345태진장안읍 반룡산단3로 40○<NA>그외자동차용 신품제품제조051-727-7976<NA>
345346㈜동명테크디엠티장안읍 오리산단8로 17<NA>○금형제조업051-727-8361<NA>
346347부산광역시기장군청기장읍 기장대로 560○<NA>공공기관051-709-4216<NA>
347348한국해양바이오클러스터㈜기장공장장안읍 반룡산단2로 72<NA>○기타식품제조업051-405-1228<NA>