Overview

Dataset statistics

Number of variables7
Number of observations32
Missing cells10
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory60.1 B

Variable types

Categorical2
Text5

Dataset

Description울산광역시 구군별 (북구, 중구, 남구, 동구, 울주군) 생활폐기물 청소위탁/ 대행업체, 폐기물 중간처리업, 최종처리업체 현황 자료를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15054809/fileData.do

Alerts

영업구역 has 10 (31.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 20:18:49.922011
Analysis finished2023-12-12 20:18:50.521754
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct5
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size388.0 B
남구
10 
울주군
7 
중구
6 
동구
5 
북구
4 

Length

Max length3
Median length2
Mean length2.21875
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 10
31.2%
울주군 7
21.9%
중구 6
18.8%
동구 5
15.6%
북구 4
 
12.5%

Length

2023-12-13T05:18:50.586993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:50.703166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 10
31.2%
울주군 7
21.9%
중구 6
18.8%
동구 5
15.6%
북구 4
 
12.5%

업체명
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:18:50.920234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length6.46875
Min length3

Characters and Unicode

Total characters207
Distinct characters66
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row(주)동 천이앤피
2nd row금 창 환 경
3rd row녹색환경(주)
4th row(주)영진환경
5th row유진개발(주)
ValueCountFrequency (%)
㈜코엔텍 2
 
5.6%
nc울산㈜ 1
 
2.8%
천이앤피 1
 
2.8%
현대개발(주 1
 
2.8%
동천환경(주 1
 
2.8%
대화실업(주 1
 
2.8%
합명)삼협환경 1
 
2.8%
합자)대성기업 1
 
2.8%
㈜토탈 1
 
2.8%
춘산환경(주 1
 
2.8%
Other values (25) 25
69.4%
2023-12-13T05:18:51.281344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 20
 
9.7%
( 20
 
9.7%
주 18
 
8.7%
환 11
 
5.3%
경 11
 
5.3%
산 9
 
4.3%
㈜ 8
 
3.9%
업 8
 
3.9%
6
 
2.9%
대 5
 
2.4%
Other values (56) 91
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151
72.9%
Close Punctuation 20
 
9.7%
Open Punctuation 20
 
9.7%
Other Symbol 8
 
3.9%
Space Separator 6
 
2.9%
Uppercase Letter 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 18
 
11.9%
환 11
 
7.3%
경 11
 
7.3%
산 9
 
6.0%
업 8
 
5.3%
대 5
 
3.3%
화 4
 
2.6%
발 4
 
2.6%
개 4
 
2.6%
동 4
 
2.6%
Other values (50) 73
48.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
N 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
76.8%
Common 46
 
22.2%
Latin 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 18
 
11.3%
환 11
 
6.9%
경 11
 
6.9%
산 9
 
5.7%
㈜ 8
 
5.0%
업 8
 
5.0%
대 5
 
3.1%
화 4
 
2.5%
발 4
 
2.5%
개 4
 
2.5%
Other values (51) 77
48.4%
Common
ValueCountFrequency (%)
) 20
43.5%
( 20
43.5%
6
 
13.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
N 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151
72.9%
ASCII 48
 
23.2%
None 8
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 20
41.7%
( 20
41.7%
6
 
12.5%
C 1
 
2.1%
N 1
 
2.1%
Hangul
ValueCountFrequency (%)
주 18
 
11.9%
환 11
 
7.3%
경 11
 
7.3%
산 9
 
6.0%
업 8
 
5.3%
대 5
 
3.3%
화 4
 
2.6%
발 4
 
2.6%
개 4
 
2.6%
동 4
 
2.6%
Other values (50) 73
48.3%
None
ValueCountFrequency (%)
㈜ 8
100.0%

대표자
Text

Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:18:51.451145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.4375
Min length3

Characters and Unicode

Total characters110
Distinct characters43
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)50.0%

Sample

1st row최진혁
2nd row홍재범
3rd row박단효
4th row방수선
5th row최정학
ValueCountFrequency (%)
대표이사 10
31.2%
홍재범 2
 
6.2%
김준혁 2
 
6.2%
김형석 2
 
6.2%
최진혁 1
 
3.1%
이동호 1
 
3.1%
김영만,김은희 1
 
3.1%
손호영 1
 
3.1%
엄석종 1
 
3.1%
이현숙 1
 
3.1%
Other values (10) 10
31.2%
2023-12-13T05:18:51.819917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 14
 
12.7%
대 10
 
9.1%
사 10
 
9.1%
표 10
 
9.1%
김 8
 
7.3%
호 3
 
2.7%
석 3
 
2.7%
범 3
 
2.7%
혁 3
 
2.7%
정 3
 
2.7%
Other values (33) 43
39.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 109
99.1%
Other Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 14
 
12.8%
대 10
 
9.2%
사 10
 
9.2%
표 10
 
9.2%
김 8
 
7.3%
호 3
 
2.8%
석 3
 
2.8%
범 3
 
2.8%
혁 3
 
2.8%
정 3
 
2.8%
Other values (32) 42
38.5%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 109
99.1%
Common 1
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 14
 
12.8%
대 10
 
9.2%
사 10
 
9.2%
표 10
 
9.2%
김 8
 
7.3%
호 3
 
2.8%
석 3
 
2.8%
범 3
 
2.8%
혁 3
 
2.8%
정 3
 
2.8%
Other values (32) 42
38.5%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 109
99.1%
ASCII 1
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 14
 
12.8%
대 10
 
9.2%
사 10
 
9.2%
표 10
 
9.2%
김 8
 
7.3%
호 3
 
2.8%
석 3
 
2.8%
범 3
 
2.8%
혁 3
 
2.8%
정 3
 
2.8%
Other values (32) 42
38.5%
ASCII
ValueCountFrequency (%)
, 1
100.0%

사무실 소재지
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:18:52.056354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length17.75
Min length10

Characters and Unicode

Total characters568
Distinct characters88
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)87.5%

Sample

1st row울산 중구 계변로 59(학성동)
2nd row울산 중구 만남의거리 15(성남동)
3rd row울산 중구 번영로 413(복산동)
4th row울산 중구 함월1길 356(성안동)
5th row울산 중구 번영로 413(복산동)
ValueCountFrequency (%)
울산 28
20.3%
남구 10
 
7.2%
울주군 7
 
5.1%
중구 6
 
4.3%
동구 5
 
3.6%
온산읍 4
 
2.9%
북구 4
 
2.9%
용잠로 4
 
2.9%
21(일산동 2
 
1.4%
일산진1길 2
 
1.4%
Other values (61) 66
47.8%
2023-12-13T05:18:52.477379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
18.7%
산 44
 
7.7%
울 35
 
6.2%
1 26
 
4.6%
구 25
 
4.4%
동 24
 
4.2%
로 21
 
3.7%
( 18
 
3.2%
) 18
 
3.2%
남 16
 
2.8%
Other values (78) 235
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
56.7%
Space Separator 106
 
18.7%
Decimal Number 97
 
17.1%
Open Punctuation 18
 
3.2%
Close Punctuation 18
 
3.2%
Dash Punctuation 4
 
0.7%
Uppercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 44
 
13.7%
울 35
 
10.9%
구 25
 
7.8%
동 24
 
7.5%
로 21
 
6.5%
남 16
 
5.0%
길 12
 
3.7%
중 9
 
2.8%
군 7
 
2.2%
주 7
 
2.2%
Other values (62) 122
37.9%
Decimal Number
ValueCountFrequency (%)
1 26
26.8%
9 12
12.4%
3 11
11.3%
5 11
11.3%
2 11
11.3%
7 6
 
6.2%
4 6
 
6.2%
8 6
 
6.2%
6 4
 
4.1%
0 4
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%
Space Separator
ValueCountFrequency (%)
106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
56.7%
Common 243
42.8%
Latin 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 44
 
13.7%
울 35
 
10.9%
구 25
 
7.8%
동 24
 
7.5%
로 21
 
6.5%
남 16
 
5.0%
길 12
 
3.7%
중 9
 
2.8%
군 7
 
2.2%
주 7
 
2.2%
Other values (62) 122
37.9%
Common
ValueCountFrequency (%)
106
43.6%
1 26
 
10.7%
( 18
 
7.4%
) 18
 
7.4%
9 12
 
4.9%
3 11
 
4.5%
5 11
 
4.5%
2 11
 
4.5%
7 6
 
2.5%
4 6
 
2.5%
Other values (4) 18
 
7.4%
Latin
ValueCountFrequency (%)
C 2
66.7%
K 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
56.7%
ASCII 246
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
43.1%
1 26
 
10.6%
( 18
 
7.3%
) 18
 
7.3%
9 12
 
4.9%
3 11
 
4.5%
5 11
 
4.5%
2 11
 
4.5%
7 6
 
2.4%
4 6
 
2.4%
Other values (6) 21
 
8.5%
Hangul
ValueCountFrequency (%)
산 44
 
13.7%
울 35
 
10.9%
구 25
 
7.8%
동 24
 
7.5%
로 21
 
6.5%
남 16
 
5.0%
길 12
 
3.7%
중 9
 
2.8%
군 7
 
2.2%
주 7
 
2.2%
Other values (62) 122
37.9%

전화번호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-13T05:18:52.680395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique28 ?
Unique (%)87.5%

Sample

1st row052-296-4877
2nd row052-268-7050
3rd row052-296-5774
4th row052-246-9801
5th row052-297-7312
ValueCountFrequency (%)
052-296-4877 2
 
6.2%
052-228-7300 2
 
6.2%
052-268-7050 1
 
3.1%
052-238-8721 1
 
3.1%
052-240-7330 1
 
3.1%
052-238-1561 1
 
3.1%
052-240-7300 1
 
3.1%
052-278-6882 1
 
3.1%
052-256-5480 1
 
3.1%
052-256-0111 1
 
3.1%
Other values (20) 20
62.5%
2023-12-13T05:18:53.024467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 77
20.1%
- 64
16.7%
0 58
15.1%
5 42
10.9%
8 33
8.6%
7 27
 
7.0%
3 24
 
6.2%
6 22
 
5.7%
1 16
 
4.2%
4 12
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 77
24.1%
0 58
18.1%
5 42
13.1%
8 33
10.3%
7 27
 
8.4%
3 24
 
7.5%
6 22
 
6.9%
1 16
 
5.0%
4 12
 
3.8%
9 9
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 77
20.1%
- 64
16.7%
0 58
15.1%
5 42
10.9%
8 33
8.6%
7 27
 
7.0%
3 24
 
6.2%
6 22
 
5.7%
1 16
 
4.2%
4 12
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 77
20.1%
- 64
16.7%
0 58
15.1%
5 42
10.9%
8 33
8.6%
7 27
 
7.0%
3 24
 
6.2%
6 22
 
5.7%
1 16
 
4.2%
4 12
 
3.1%

영업구역
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing10
Missing (%)31.2%
Memory size388.0 B
2023-12-13T05:18:53.220937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length13.5
Mean length9.8636364
Min length3

Characters and Unicode

Total characters217
Distinct characters71
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

Unique22 ?
Unique (%)100.0%

Sample

1st row학성,반구1~2, 복산1~2동
2nd row성안, 중앙, 우정
3rd row병영1~2, 약사
4th row태화, 다운
5th row학성,중앙,우정,태화,다운
ValueCountFrequency (%)
성안 2
 
5.6%
병영1~2 2
 
5.6%
약사 2
 
5.6%
송정 1
 
2.8%
남목1~3동 1
 
2.8%
일산동,전하2동 1
 
2.8%
대송동,전하1동 1
 
2.8%
강동 1
 
2.8%
효문 1
 
2.8%
염포,양정 1
 
2.8%
Other values (23) 23
63.9%
2023-12-13T05:18:53.511618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 39
 
18.0%
동 15
 
6.9%
14
 
6.5%
1 10
 
4.6%
2 9
 
4.1%
정 8
 
3.7%
~ 8
 
3.7%
산 5
 
2.3%
성 4
 
1.8%
삼 4
 
1.8%
Other values (61) 101
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
60.4%
Other Punctuation 39
 
18.0%
Decimal Number 25
 
11.5%
Space Separator 14
 
6.5%
Math Symbol 8
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 15
 
11.5%
정 8
 
6.1%
산 5
 
3.8%
성 4
 
3.1%
삼 4
 
3.1%
화 3
 
2.3%
신 3
 
2.3%
서 3
 
2.3%
양 3
 
2.3%
전 3
 
2.3%
Other values (53) 80
61.1%
Decimal Number
ValueCountFrequency (%)
1 10
40.0%
2 9
36.0%
3 3
 
12.0%
4 2
 
8.0%
5 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
60.4%
Common 86
39.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 15
 
11.5%
정 8
 
6.1%
산 5
 
3.8%
성 4
 
3.1%
삼 4
 
3.1%
화 3
 
2.3%
신 3
 
2.3%
서 3
 
2.3%
양 3
 
2.3%
전 3
 
2.3%
Other values (53) 80
61.1%
Common
ValueCountFrequency (%)
, 39
45.3%
14
 
16.3%
1 10
 
11.6%
2 9
 
10.5%
~ 8
 
9.3%
3 3
 
3.5%
4 2
 
2.3%
5 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
60.4%
ASCII 86
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 39
45.3%
14
 
16.3%
1 10
 
11.6%
2 9
 
10.5%
~ 8
 
9.3%
3 3
 
3.5%
4 2
 
2.3%
5 1
 
1.2%
Hangul
ValueCountFrequency (%)
동 15
 
11.5%
정 8
 
6.1%
산 5
 
3.8%
성 4
 
3.1%
삼 4
 
3.1%
화 3
 
2.3%
신 3
 
2.3%
서 3
 
2.3%
양 3
 
2.3%
전 3
 
2.3%
Other values (53) 80
61.1%

비고
Categorical

Distinct3
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size388.0 B
생활폐기물수집운반
22 
사업장폐기물소각업체
6 
사업장폐기물매립업체
4 

Length

Max length10
Median length9
Mean length9.3125
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활폐기물수집운반 22
68.8%
사업장폐기물소각업체 6
 
18.8%
사업장폐기물매립업체 4
 
12.5%

Length

2023-12-13T05:18:53.633571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:18:53.729085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활폐기물수집운반 22
68.8%
사업장폐기물소각업체 6
 
18.8%
사업장폐기물매립업체 4
 
12.5%

Correlations

2023-12-13T05:18:53.796927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분업체명대표자사무실 소재지전화번호영업구역비고
구분1.0001.0000.8571.0000.9181.0000.378
업체명1.0001.0001.0000.9741.0001.0000.000
대표자0.8571.0001.0000.0000.9651.0000.000
사무실 소재지1.0000.9740.0001.0000.9691.0001.000
전화번호0.9181.0000.9650.9691.0001.0000.000
영업구역1.0001.0001.0001.0001.0001.000NaN
비고0.3780.0000.0001.0000.000NaN1.000
2023-12-13T05:18:53.904145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비고
구분1.0000.292
비고0.2921.000
2023-12-13T05:18:53.973240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비고
구분1.0000.292
비고0.2921.000

Missing values

2023-12-13T05:18:50.362207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:18:50.478518image/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

구분업체명대표자사무실 소재지전화번호영업구역비고
0중구(주)동 천이앤피최진혁울산 중구 계변로 59(학성동)052-296-4877학성,반구1~2, 복산1~2동생활폐기물수집운반
1중구금 창 환 경홍재범울산 중구 만남의거리 15(성남동)052-268-7050성안, 중앙, 우정생활폐기물수집운반
2중구녹색환경(주)박단효울산 중구 번영로 413(복산동)052-296-5774병영1~2, 약사생활폐기물수집운반
3중구(주)영진환경방수선울산 중구 함월1길 356(성안동)052-246-9801태화, 다운생활폐기물수집운반
4중구유진개발(주)최정학울산 중구 번영로 413(복산동)052-297-7312학성,중앙,우정,태화,다운생활폐기물수집운반
5중구대원환경(주)김준혁울산 중구 동천4길 71(서동)052-288-8686성안, 반구1~2, 복산1~2, 병영1~2, 약사생활폐기물수집운반
6남구태화산업(주)김형석울산 남구 팔등로118(신정동)052-269-6512신정1,3,4동, 선암생활폐기물수집운반
7남구일진환경(주)김용범울산 남구 화합로 21(야음동)052-274-2824달동, 삼산생활폐기물수집운반
8남구삼정개발(주)김태규울산 남구 화합로 14번길 15 (여천동)052-257-5878신정5,삼호, 무거,옥동생활폐기물수집운반
9남구삼화실업(주)손장호울산 남구 두왕로 106번길 5-19 (선암동)052-227-5360신정4,야음장생포,대현,수암생활폐기물수집운반
구분업체명대표자사무실 소재지전화번호영업구역비고
22남구NC울산㈜대표이사울산 남구 용잠로 339052-256-0111<NA>사업장폐기물소각업체
23남구㈜토탈대표이사울산 남구 용연로 179번길 18052-256-5480<NA>사업장폐기물소각업체
24남구㈜코엔텍대표이사울산 남구 용잠로 328052-228-7300<NA>사업장폐기물소각업체
25남구(주)에너지파크대표이사울산 남구 처용로 695052-278-6882<NA>사업장폐기물소각업체
26울주군㈜유니큰온산대표이사울산 울주군 온산읍 원산로 59052-240-7300<NA>사업장폐기물소각업체
27울주군㈜범우대표이사울산 울주군 온산읍 온산로 219-3052-238-1561<NA>사업장폐기물소각업체
28남구㈜코엔텍대표이사남구 용잠로 328052-228-7300<NA>사업장폐기물매립업체
29남구㈜유니큰대표이사남구 용잠로 343052-240-7330<NA>사업장폐기물매립업체
30울주군㈜이에스티대표이사울주군 온산읍 원산로 59-20052-238-8721<NA>사업장폐기물매립업체
31울주군베올리아산업개발코리아(주)대표이사울주군 두서면 활천리 KCC일반산단내052-229-0611<NA>사업장폐기물매립업체