Overview

Dataset statistics

Number of variables11
Number of observations102
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory90.3 B

Variable types

Numeric1
Text2
Categorical5
Boolean3

Dataset

Description경상남도 양산시의 배출자율점검 지정업소 현황에 대한 데이터로 상호,지정일자,지정기간,업종 등의 항목에 관한 정보를 제공합니다.
Author경상남도 양산시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15105406

Alerts

(최초)지정일자 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
(재)지정일자 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
기타 is highly overall correlated with (최초)지정일자High correlation
지정기간 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연번 is highly overall correlated with (최초)지정일자 and 2 other fieldsHigh correlation
업종 is highly overall correlated with 대기 and 2 other fieldsHigh correlation
대기 is highly overall correlated with 업종High correlation
수질 is highly overall correlated with 업종High correlation
사업장폐기물 is highly overall correlated with 업종High correlation
기타 is highly imbalanced (92.1%)Imbalance
연번 has unique valuesUnique
상 호 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:29:47.709252
Analysis finished2023-12-10 23:29:49.124639
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-11T08:29:49.196011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.05
Q126.25
median51.5
Q376.75
95-th percentile96.95
Maximum102
Range101
Interquartile range (IQR)50.5

Descriptive statistics

Standard deviation29.588849
Coefficient of variation (CV)0.57454076
Kurtosis-1.2
Mean51.5
Median Absolute Deviation (MAD)25.5
Skewness0
Sum5253
Variance875.5
MonotonicityStrictly increasing
2023-12-11T08:29:49.342103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
66 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%

상 호
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-11T08:29:49.536497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length7.1470588
Min length2

Characters and Unicode

Total characters729
Distinct characters180
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

Unique102 ?
Unique (%)100.0%

Sample

1st row삼우금속(주)
2nd row(주)새한잉크
3rd row동해석재
4th row㈜대경오앤티
5th row극동씨엠씨㈜
ValueCountFrequency (%)
㈜신성에너지 2
 
1.7%
삼우금속(주 1
 
0.9%
양산주유소 1
 
0.9%
1
 
0.9%
주)성광사(임차 1
 
0.9%
극동유화 1
 
0.9%
주)태일잉크화학 1
 
0.9%
현대자동차㈜양산출고 1
 
0.9%
밀양권지사(양산정수장 1
 
0.9%
한국수자원공사 1
 
0.9%
Other values (104) 104
90.4%
2023-12-11T08:29:49.907666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 49
 
6.7%
산 27
 
3.7%
주 27
 
3.7%
양 24
 
3.3%
유 20
 
2.7%
소 19
 
2.6%
18
 
2.5%
장 18
 
2.5%
성 16
 
2.2%
스 15
 
2.1%
Other values (170) 496
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 622
85.3%
Other Symbol 49
 
6.7%
Space Separator 18
 
2.5%
Close Punctuation 14
 
1.9%
Open Punctuation 14
 
1.9%
Uppercase Letter 9
 
1.2%
Decimal Number 2
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 27
 
4.3%
주 27
 
4.3%
양 24
 
3.9%
유 20
 
3.2%
소 19
 
3.1%
장 18
 
2.9%
성 16
 
2.6%
스 15
 
2.4%
화 14
 
2.3%
차 13
 
2.1%
Other values (156) 429
69.0%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
K 1
11.1%
R 1
11.1%
M 1
11.1%
T 1
11.1%
S 1
11.1%
C 1
11.1%
I 1
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 49
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 671
92.0%
Common 49
 
6.7%
Latin 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 49
 
7.3%
산 27
 
4.0%
주 27
 
4.0%
양 24
 
3.6%
유 20
 
3.0%
소 19
 
2.8%
장 18
 
2.7%
성 16
 
2.4%
스 15
 
2.2%
화 14
 
2.1%
Other values (157) 442
65.9%
Latin
ValueCountFrequency (%)
O 2
22.2%
K 1
11.1%
R 1
11.1%
M 1
11.1%
T 1
11.1%
S 1
11.1%
C 1
11.1%
I 1
11.1%
Common
ValueCountFrequency (%)
18
36.7%
) 14
28.6%
( 14
28.6%
1 2
 
4.1%
: 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 622
85.3%
ASCII 58
 
8.0%
None 49
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 49
100.0%
Hangul
ValueCountFrequency (%)
산 27
 
4.3%
주 27
 
4.3%
양 24
 
3.9%
유 20
 
3.2%
소 19
 
3.1%
장 18
 
2.9%
성 16
 
2.6%
스 15
 
2.4%
화 14
 
2.3%
차 13
 
2.1%
Other values (156) 429
69.0%
ASCII
ValueCountFrequency (%)
18
31.0%
) 14
24.1%
( 14
24.1%
O 2
 
3.4%
1 2
 
3.4%
: 1
 
1.7%
K 1
 
1.7%
R 1
 
1.7%
M 1
 
1.7%
T 1
 
1.7%
Other values (3) 3
 
5.2%

(최초)지정일자
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size948.0 B
2012-12-27
15 
2008-12-26
15 
2011-12-27
12 
2013-12-27
10 
2009-06-26
7 
Other values (16)
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique6 ?
Unique (%)5.9%

Sample

1st row2006-11-27
2nd row2006-11-27
3rd row2006-11-27
4th row2008-12-26
5th row2008-12-26

Common Values

ValueCountFrequency (%)
2012-12-27 15
14.7%
2008-12-26 15
14.7%
2011-12-27 12
11.8%
2013-12-27 10
9.8%
2009-06-26 7
 
6.9%
2010-04-02 6
 
5.9%
2007-11-19 6
 
5.9%
2011-06-17 5
 
4.9%
2010-12-17 4
 
3.9%
2010-09-30 3
 
2.9%
Other values (11) 19
18.6%

Length

2023-12-11T08:29:50.034531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2012-12-27 15
14.7%
2008-12-26 15
14.7%
2011-12-27 12
11.8%
2013-12-27 10
9.8%
2009-06-26 7
 
6.9%
2010-04-02 6
 
5.9%
2007-11-19 6
 
5.9%
2011-06-17 5
 
4.9%
2010-12-17 4
 
3.9%
2006-11-27 3
 
2.9%
Other values (11) 19
18.6%

(재)지정일자
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
2016-12-30
24 
2019-01-25
21 
2020-12-25
18 
2015-01-15
15 
2018-06-20
10 
Other values (4)
14 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row2015-01-15
2nd row2015-01-15
3rd row2015-01-15
4th row2016-12-30
5th row2016-12-30

Common Values

ValueCountFrequency (%)
2016-12-30 24
23.5%
2019-01-25 21
20.6%
2020-12-25 18
17.6%
2015-01-15 15
14.7%
2018-06-20 10
9.8%
2021-11-14 7
 
6.9%
2019-07-15 5
 
4.9%
2019-12-30 1
 
1.0%
2015-07-01 1
 
1.0%

Length

2023-12-11T08:29:50.146807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:29:50.255911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016-12-30 24
23.5%
2019-01-25 21
20.6%
2020-12-25 18
17.6%
2015-01-15 15
14.7%
2018-06-20 10
9.8%
2021-11-14 7
 
6.9%
2019-07-15 5
 
4.9%
2019-12-30 1
 
1.0%
2015-07-01 1
 
1.0%

지정기간
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
2022-12-29
25 
2025-01-24
21 
2023-12-24
18 
2023-01-14
15 
2024-06-19
10 
Other values (3)
13 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row2023-01-14
2nd row2023-01-14
3rd row2023-01-14
4th row2022-12-29
5th row2022-12-29

Common Values

ValueCountFrequency (%)
2022-12-29 25
24.5%
2025-01-24 21
20.6%
2023-12-24 18
17.6%
2023-01-14 15
14.7%
2024-06-19 10
 
9.8%
2024-11-13 7
 
6.9%
2022-07-14 5
 
4.9%
2023-06-30 1
 
1.0%

Length

2023-12-11T08:29:50.385820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:29:50.493337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-29 25
24.5%
2025-01-24 21
20.6%
2023-12-24 18
17.6%
2023-01-14 15
14.7%
2024-06-19 10
 
9.8%
2024-11-13 7
 
6.9%
2022-07-14 5
 
4.9%
2023-06-30 1
 
1.0%

도로명주소
Text

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
2023-12-11T08:29:50.825695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.676471
Min length15

Characters and Unicode

Total characters1905
Distinct characters74
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

Unique102 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 산막공단남3길 6
2nd row경상남도 양산시 산막공단북5길 46-79
3rd row경상남도 양산시 하북면 양산대로 2368-1
4th row경상남도 양산시 산막공단남5길 8
5th row경상남도 양산시 산막공단남1길 17
ValueCountFrequency (%)
경상남도 102
23.2%
양산시 102
23.2%
상북면 16
 
3.6%
양산대로 16
 
3.6%
하북면 6
 
1.4%
충렬로 6
 
1.4%
물금읍 4
 
0.9%
산막공단남11길 4
 
0.9%
15 3
 
0.7%
신기로 3
 
0.7%
Other values (143) 177
40.3%
2023-12-11T08:29:51.269287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
338
17.7%
산 154
 
8.1%
상 120
 
6.3%
양 119
 
6.2%
남 115
 
6.0%
시 102
 
5.4%
경 102
 
5.4%
도 102
 
5.4%
1 79
 
4.1%
로 53
 
2.8%
Other values (64) 621
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1243
65.2%
Space Separator 338
 
17.7%
Decimal Number 313
 
16.4%
Dash Punctuation 11
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 154
12.4%
상 120
9.7%
양 119
9.6%
남 115
9.3%
시 102
 
8.2%
경 102
 
8.2%
도 102
 
8.2%
로 53
 
4.3%
길 49
 
3.9%
공 41
 
3.3%
Other values (52) 286
23.0%
Decimal Number
ValueCountFrequency (%)
1 79
25.2%
2 41
13.1%
4 32
10.2%
5 26
 
8.3%
8 25
 
8.0%
0 25
 
8.0%
3 23
 
7.3%
9 22
 
7.0%
6 22
 
7.0%
7 18
 
5.8%
Space Separator
ValueCountFrequency (%)
338
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1243
65.2%
Common 662
34.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 154
12.4%
상 120
9.7%
양 119
9.6%
남 115
9.3%
시 102
 
8.2%
경 102
 
8.2%
도 102
 
8.2%
로 53
 
4.3%
길 49
 
3.9%
공 41
 
3.3%
Other values (52) 286
23.0%
Common
ValueCountFrequency (%)
338
51.1%
1 79
 
11.9%
2 41
 
6.2%
4 32
 
4.8%
5 26
 
3.9%
8 25
 
3.8%
0 25
 
3.8%
3 23
 
3.5%
9 22
 
3.3%
6 22
 
3.3%
Other values (2) 29
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1243
65.2%
ASCII 662
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
338
51.1%
1 79
 
11.9%
2 41
 
6.2%
4 32
 
4.8%
5 26
 
3.9%
8 25
 
3.8%
0 25
 
3.8%
3 23
 
3.5%
9 22
 
3.3%
6 22
 
3.3%
Other values (2) 29
 
4.4%
Hangul
ValueCountFrequency (%)
산 154
12.4%
상 120
9.7%
양 119
9.6%
남 115
9.3%
시 102
 
8.2%
경 102
 
8.2%
도 102
 
8.2%
로 53
 
4.3%
길 49
 
3.9%
공 41
 
3.3%
Other values (52) 286
23.0%

업종
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
세차시설
24 
기타화학
 
5
장비수선.세차
 
4
고무 및 플라스틱제품제조
 
4
종이제품
 
4
Other values (44)
61 

Length

Max length18
Median length13
Mean length5.745098
Min length3

Unique

Unique33 ?
Unique (%)32.4%

Sample

1st row비철금속제조
2nd row기타화학제품
3rd row비금속광물
4th row동식물성유지
5th row윤활유제조

Common Values

ValueCountFrequency (%)
세차시설 24
23.5%
기타화학 5
 
4.9%
장비수선.세차 4
 
3.9%
고무 및 플라스틱제품제조 4
 
3.9%
종이제품 4
 
3.9%
조립금속 3
 
2.9%
산업용화학 3
 
2.9%
운수장비.세차 3
 
2.9%
기타화학제품 3
 
2.9%
수도사업시설 3
 
2.9%
Other values (39) 46
45.1%

Length

2023-12-11T08:29:51.431020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
세차시설 24
20.9%
및 6
 
5.2%
기타화학 5
 
4.3%
장비수선.세차 4
 
3.5%
고무 4
 
3.5%
플라스틱제품제조 4
 
3.5%
종이제품 4
 
3.5%
조립금속 3
 
2.6%
산업용화학 3
 
2.6%
운수장비.세차 3
 
2.6%
Other values (43) 55
47.8%

대기
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
True
55 
False
47 
ValueCountFrequency (%)
True 55
53.9%
False 47
46.1%
2023-12-11T08:29:51.539070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

수질
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
True
82 
False
20 
ValueCountFrequency (%)
True 82
80.4%
False 20
 
19.6%
2023-12-11T08:29:51.648577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사업장폐기물
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size234.0 B
False
70 
True
32 
ValueCountFrequency (%)
False 70
68.6%
True 32
31.4%
2023-12-11T08:29:51.725791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

기타
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
N
101 
비산
 
1

Length

Max length2
Median length1
Mean length1.0098039
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
N 101
99.0%
비산 1
 
1.0%

Length

2023-12-11T08:29:51.830182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:29:51.937793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 101
99.0%
비산 1
 
1.0%

Interactions

2023-12-11T08:29:48.770844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:29:52.012335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(최초)지정일자(재)지정일자지정기간업종대기수질사업장폐기물기타
연번1.0000.9600.8260.8370.6470.3550.2650.4990.073
(최초)지정일자0.9601.0000.9871.0000.6520.2590.0000.4611.000
(재)지정일자0.8260.9871.0001.0000.6230.1550.0000.1560.000
지정기간0.8371.0001.0001.0000.7990.1800.0000.2290.000
업종0.6470.6520.6230.7991.0000.9400.9270.8300.000
대기0.3550.2590.1550.1800.9401.0000.6160.3780.000
수질0.2650.0000.0000.0000.9270.6161.0000.0000.000
사업장폐기물0.4990.4610.1560.2290.8300.3780.0001.0000.000
기타0.0731.0000.0000.0000.0000.0000.0000.0001.000
2023-12-11T08:29:52.133624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대기사업장폐기물(최초)지정일자(재)지정일자기타업종수질지정기간
대기1.0000.2470.2000.1460.0000.6280.4220.128
사업장폐기물0.2471.0000.3630.1480.0000.5250.0000.164
(최초)지정일자0.2000.3631.0000.8600.9000.1480.0000.928
(재)지정일자0.1460.1480.8601.0000.0000.1980.0000.995
기타0.0000.0000.9000.0001.0000.0000.0000.000
업종0.6280.5250.1480.1980.0001.0000.6130.333
수질0.4220.0000.0000.0000.0000.6131.0000.000
지정기간0.1280.1640.9280.9950.0000.3330.0001.000
2023-12-11T08:29:52.248473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(최초)지정일자(재)지정일자지정기간업종대기수질사업장폐기물기타
연번1.0000.7430.5630.5990.2010.2600.1930.3680.045
(최초)지정일자0.7431.0000.8600.9280.1480.2000.0000.3630.900
(재)지정일자0.5630.8601.0000.9950.1980.1460.0000.1480.000
지정기간0.5990.9280.9951.0000.3330.1280.0000.1640.000
업종0.2010.1480.1980.3331.0000.6280.6130.5250.000
대기0.2600.2000.1460.1280.6281.0000.4220.2470.000
수질0.1930.0000.0000.0000.6130.4221.0000.0000.000
사업장폐기물0.3680.3630.1480.1640.5250.2470.0001.0000.000
기타0.0450.9000.0000.0000.0000.0000.0000.0001.000

Missing values

2023-12-11T08:29:48.886754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:29:49.067122image/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

연번상 호(최초)지정일자(재)지정일자지정기간도로명주소업종대기수질사업장폐기물기타
01삼우금속(주)2006-11-272015-01-152023-01-14경상남도 양산시 산막공단남3길 6비철금속제조YNNN
12(주)새한잉크2006-11-272015-01-152023-01-14경상남도 양산시 산막공단북5길 46-79기타화학제품YNNN
23동해석재2006-11-272015-01-152023-01-14경상남도 양산시 하북면 양산대로 2368-1비금속광물NYYN
34㈜대경오앤티2008-12-262016-12-302022-12-29경상남도 양산시 산막공단남5길 8동식물성유지YYYN
45극동씨엠씨㈜2008-12-262016-12-302022-12-29경상남도 양산시 산막공단남1길 17윤활유제조YNYN
56형제기계공업㈜2008-12-262016-12-302022-12-29경상남도 양산시 산막공단북1길 35금속제품(도장)YNNN
67포스텍전자㈜2008-12-262016-12-302022-12-29경상남도 양산시 산막공단북2길 34-1전자제품YYYN
78(주)화성2008-12-262016-12-302022-12-29경상남도 양산시 산막공단북2길 26기타화학YYNN
89㈜광원화학2008-12-262016-12-302022-12-29경상남도 양산시 어곡로 72기타화학YYNN
910(주)유광화성2008-12-262016-12-302022-12-29경상남도 양산시 충렬로 123고무 및 플라스틱제품제조YNNN
연번상 호(최초)지정일자(재)지정일자지정기간도로명주소업종대기수질사업장폐기물기타
9293양산기장축협TMR사료공장2012-12-272019-01-252025-01-24경상남도 양산시 상북면 상북중앙로 278사료제조시설YNNN
9394청우파인케미2012-12-272019-01-252025-01-24경상남도 양산시 상북면 내전길 38화합물및화학제품제조YYNN
9495대성케미칼㈜2012-12-272019-01-252025-01-24경상남도 양산시 어곡공단 4길 18기타화학YNNN
9596㈜화인테크놀리지2012-12-272019-01-252025-01-24경상남도 양산시 어곡공단1길 10기타화학YNYN
9697(주)스마트카라2012-12-272019-01-252025-01-24경상남도 양산시 어곡공단로 52기타조립금속YNNN
9798㈜엠텍2012-12-272019-01-252025-01-24경상남도 양산시 유산공단5길 14그외기타분류안된 금속가공제품제조업YYYN
9899청림세차장2012-12-272019-01-252025-01-24경상남도 양산시 서일동1길 8세차시설NYNN
99100㈜현대종합정비2012-12-272019-01-252025-01-24경상남도 양산시 중앙우회로 147세사시설YYNN
100101양산에너지마트주유소2012-12-272019-01-252025-01-24경상남도 양산시 양산역5길 2세차시설NYNN
101102삼덕자동차정비2012-12-272019-01-252025-01-24경상남도 양산시 하북면 삼덕로 4자동차정비YNNN