Overview

Dataset statistics

Number of variables8
Number of observations99
Missing cells3
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory66.3 B

Variable types

Numeric1
Text4
Categorical2
DateTime1

Dataset

Description울산광역시 북구에 소재한 사업장폐기물배출자의 의무에 따른 북구에 소재한 사업장폐기물배출자 신고현황에 대한 데이터 입니다
URLhttps://www.data.go.kr/data/15060376/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
폐기물구분(사업장일반폐기물_지정폐기물) has constant value ""Constant
연락처 has 3 (3.0%) missing valuesMissing
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:38:03.634968
Analysis finished2023-12-12 10:38:05.307711
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-12T19:38:05.430485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2023-12-12T19:38:05.625077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 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%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
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 (%)
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%
92 1
1.0%
91 1
1.0%
90 1
1.0%

상호
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T19:38:05.947332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.4242424
Min length3

Characters and Unicode

Total characters735
Distinct characters183
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

Unique99 ?
Unique (%)100.0%

Sample

1st row㈜용산
2nd row오제이씨㈜
3rd row덕양산업㈜
4th row현대모비스㈜
5th row현대자동차㈜
ValueCountFrequency (%)
주식회사 7
 
5.4%
유포식품 3
 
2.3%
매곡공장 2
 
1.5%
시스템 2
 
1.5%
엔브이에이치오버헤드 2
 
1.5%
울산점 2
 
1.5%
현진산업 1
 
0.8%
울산종합폐차장 1
 
0.8%
㈜현대공업 1
 
0.8%
㈜모다이노칩 1
 
0.8%
Other values (108) 108
83.1%
2023-12-12T19:38:06.453427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 63
 
8.6%
산 39
 
5.3%
31
 
4.2%
업 29
 
3.9%
이 19
 
2.6%
대 19
 
2.6%
스 17
 
2.3%
울 17
 
2.3%
현 14
 
1.9%
사 13
 
1.8%
Other values (173) 474
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 625
85.0%
Other Symbol 63
 
8.6%
Space Separator 31
 
4.2%
Decimal Number 6
 
0.8%
Uppercase Letter 6
 
0.8%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 39
 
6.2%
업 29
 
4.6%
이 19
 
3.0%
대 19
 
3.0%
스 17
 
2.7%
울 17
 
2.7%
현 14
 
2.2%
사 13
 
2.1%
공 13
 
2.1%
동 12
 
1.9%
Other values (159) 433
69.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
N 1
16.7%
E 1
16.7%
I 1
16.7%
H 1
16.7%
C 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
2 2
33.3%
4 1
16.7%
5 1
16.7%
Other Symbol
ValueCountFrequency (%)
㈜ 63
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
93.6%
Common 41
 
5.6%
Latin 6
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 63
 
9.2%
산 39
 
5.7%
업 29
 
4.2%
이 19
 
2.8%
대 19
 
2.8%
스 17
 
2.5%
울 17
 
2.5%
현 14
 
2.0%
사 13
 
1.9%
공 13
 
1.9%
Other values (160) 445
64.7%
Common
ValueCountFrequency (%)
31
75.6%
( 2
 
4.9%
1 2
 
4.9%
2 2
 
4.9%
) 2
 
4.9%
4 1
 
2.4%
5 1
 
2.4%
Latin
ValueCountFrequency (%)
G 1
16.7%
N 1
16.7%
E 1
16.7%
I 1
16.7%
H 1
16.7%
C 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 625
85.0%
None 63
 
8.6%
ASCII 47
 
6.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 63
100.0%
Hangul
ValueCountFrequency (%)
산 39
 
6.2%
업 29
 
4.6%
이 19
 
3.0%
대 19
 
3.0%
스 17
 
2.7%
울 17
 
2.7%
현 14
 
2.2%
사 13
 
2.1%
공 13
 
2.1%
동 12
 
1.9%
Other values (159) 433
69.3%
ASCII
ValueCountFrequency (%)
31
66.0%
( 2
 
4.3%
1 2
 
4.3%
2 2
 
4.3%
) 2
 
4.3%
G 1
 
2.1%
N 1
 
2.1%
E 1
 
2.1%
I 1
 
2.1%
H 1
 
2.1%
Other values (3) 3
 
6.4%

폐기물종류
Categorical

Distinct29
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size924.0 B
폐합성수지
50 
폐합성수지 외
10 
폐수처리오니
6 
음식물류폐기물 외
 
3
폐합성수지류 외
 
2
Other values (24)
28 

Length

Max length15
Median length5
Mean length6.2323232
Min length3

Unique

Unique20 ?
Unique (%)20.2%

Sample

1st row폐합성수지
2nd row폐합성수지
3rd row폐합성수지
4th row그밖의 폐합성고분자화합물 외
5th row폐합성수지 외

Common Values

ValueCountFrequency (%)
폐합성수지 50
50.5%
폐합성수지 외 10
 
10.1%
폐수처리오니 6
 
6.1%
음식물류폐기물 외 3
 
3.0%
폐합성수지류 외 2
 
2.0%
폐콘크리트 외 2
 
2.0%
하수처리오니 외 2
 
2.0%
그 밖의 폐기물 2
 
2.0%
수산물가공잔재물 2
 
2.0%
폐흡착제 외 1
 
1.0%
Other values (19) 19
 
19.2%

Length

2023-12-12T19:38:06.752842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
폐합성수지 60
42.9%
외 29
20.7%
폐수처리오니 7
 
5.0%
그 5
 
3.6%
밖의 5
 
3.6%
음식물류폐기물 4
 
2.9%
폐기물 3
 
2.1%
하수처리오니 2
 
1.4%
폐콘크리트 2
 
1.4%
수산물가공잔재물 2
 
1.4%
Other values (17) 21
 
15.0%

지번주소
Text

Distinct96
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T19:38:07.159731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length18
Mean length18.272727
Min length15

Characters and Unicode

Total characters1809
Distinct characters53
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)94.9%

Sample

1st row울산광역시 북구 연암동 496
2nd row울산광역시 북구 연암동 681
3rd row울산광역시 북구 연암동 945
4th row울산광역시 북구 염포동 265
5th row울산광역시 북구 양정동 700
ValueCountFrequency (%)
울산광역시 99
24.9%
북구 99
24.9%
연암동 21
 
5.3%
효문동 19
 
4.8%
매곡동 15
 
3.8%
진장동 12
 
3.0%
달천동 7
 
1.8%
대안동 4
 
1.0%
구유동 3
 
0.8%
중산동 3
 
0.8%
Other values (109) 116
29.1%
2023-12-12T19:38:07.812193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
328
18.1%
산 105
 
5.8%
구 103
 
5.7%
울 99
 
5.5%
광 99
 
5.5%
역 99
 
5.5%
시 99
 
5.5%
북 99
 
5.5%
동 97
 
5.4%
1 77
 
4.3%
Other values (43) 604
33.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1031
57.0%
Decimal Number 380
 
21.0%
Space Separator 328
 
18.1%
Dash Punctuation 67
 
3.7%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 105
10.2%
구 103
10.0%
울 99
9.6%
광 99
9.6%
역 99
9.6%
시 99
9.6%
북 99
9.6%
동 97
9.4%
연 21
 
2.0%
암 21
 
2.0%
Other values (28) 189
18.3%
Decimal Number
ValueCountFrequency (%)
1 77
20.3%
2 50
13.2%
3 39
10.3%
5 34
8.9%
8 34
8.9%
6 33
8.7%
4 33
8.7%
0 30
 
7.9%
9 26
 
6.8%
7 24
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
328
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 67
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1031
57.0%
Common 776
42.9%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 105
10.2%
구 103
10.0%
울 99
9.6%
광 99
9.6%
역 99
9.6%
시 99
9.6%
북 99
9.6%
동 97
9.4%
연 21
 
2.0%
암 21
 
2.0%
Other values (28) 189
18.3%
Common
ValueCountFrequency (%)
328
42.3%
1 77
 
9.9%
- 67
 
8.6%
2 50
 
6.4%
3 39
 
5.0%
5 34
 
4.4%
8 34
 
4.4%
6 33
 
4.3%
4 33
 
4.3%
0 30
 
3.9%
Other values (3) 51
 
6.6%
Latin
ValueCountFrequency (%)
B 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1031
57.0%
ASCII 778
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
328
42.2%
1 77
 
9.9%
- 67
 
8.6%
2 50
 
6.4%
3 39
 
5.0%
5 34
 
4.4%
8 34
 
4.4%
6 33
 
4.2%
4 33
 
4.2%
0 30
 
3.9%
Other values (5) 53
 
6.8%
Hangul
ValueCountFrequency (%)
산 105
10.2%
구 103
10.0%
울 99
9.6%
광 99
9.6%
역 99
9.6%
시 99
9.6%
북 99
9.6%
동 97
9.4%
연 21
 
2.0%
암 21
 
2.0%
Other values (28) 189
18.3%

도로명주소
Text

Distinct94
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size924.0 B
2023-12-12T19:38:08.260048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length16.919192
Min length9

Characters and Unicode

Total characters1675
Distinct characters83
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

Unique91 ?
Unique (%)91.9%

Sample

1st row울산광역시 북구 무룡로 42
2nd row울산광역시 북구 책골길 59
3rd row울산광역시 북구 효암로 354-5
4th row울산광역시 북구 염포로 706
5th row울산광역시 북구 염포로 700
ValueCountFrequency (%)
울산광역시 99
25.3%
북구 99
25.3%
진장유통로 8
 
2.0%
염포로 6
 
1.5%
효암로 6
 
1.5%
모듈화산업로 6
 
1.5%
효자로 5
 
1.3%
대안1길 5
 
1.3%
책골길 4
 
1.0%
45 4
 
1.0%
Other values (122) 150
38.3%
2023-12-12T19:38:08.836089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
18.5%
산 123
 
7.3%
시 100
 
6.0%
울 99
 
5.9%
광 99
 
5.9%
역 99
 
5.9%
북 99
 
5.9%
구 99
 
5.9%
1 64
 
3.8%
로 49
 
2.9%
Other values (73) 534
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1064
63.5%
Space Separator 310
 
18.5%
Decimal Number 284
 
17.0%
Dash Punctuation 14
 
0.8%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 123
11.6%
시 100
9.4%
울 99
9.3%
광 99
9.3%
역 99
9.3%
북 99
9.3%
구 99
9.3%
로 49
 
4.6%
길 47
 
4.4%
업 18
 
1.7%
Other values (58) 232
21.8%
Decimal Number
ValueCountFrequency (%)
1 64
22.5%
2 32
11.3%
4 30
10.6%
3 28
9.9%
5 27
9.5%
6 27
9.5%
0 25
 
8.8%
8 20
 
7.0%
7 20
 
7.0%
9 11
 
3.9%
Space Separator
ValueCountFrequency (%)
310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1064
63.5%
Common 611
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 123
11.6%
시 100
9.4%
울 99
9.3%
광 99
9.3%
역 99
9.3%
북 99
9.3%
구 99
9.3%
로 49
 
4.6%
길 47
 
4.4%
업 18
 
1.7%
Other values (58) 232
21.8%
Common
ValueCountFrequency (%)
310
50.7%
1 64
 
10.5%
2 32
 
5.2%
4 30
 
4.9%
3 28
 
4.6%
5 27
 
4.4%
6 27
 
4.4%
0 25
 
4.1%
8 20
 
3.3%
7 20
 
3.3%
Other values (5) 28
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1064
63.5%
ASCII 611
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
50.7%
1 64
 
10.5%
2 32
 
5.2%
4 30
 
4.9%
3 28
 
4.6%
5 27
 
4.4%
6 27
 
4.4%
0 25
 
4.1%
8 20
 
3.3%
7 20
 
3.3%
Other values (5) 28
 
4.6%
Hangul
ValueCountFrequency (%)
산 123
11.6%
시 100
9.4%
울 99
9.3%
광 99
9.3%
역 99
9.3%
북 99
9.3%
구 99
9.3%
로 49
 
4.6%
길 47
 
4.4%
업 18
 
1.7%
Other values (58) 232
21.8%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
Minimum2023-07-20 00:00:00
Maximum2023-07-20 00:00:00
2023-12-12T19:38:09.022921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:38:09.554439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

폐기물구분(사업장일반폐기물_지정폐기물)
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
사업장일반폐기물
99 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장일반폐기물 99
100.0%

Length

2023-12-12T19:38:09.732808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:38:09.867783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장일반폐기물 99
100.0%

연락처
Text

MISSING 

Distinct91
Distinct (%)94.8%
Missing3
Missing (%)3.0%
Memory size924.0 B
2023-12-12T19:38:10.162802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters1152
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)90.6%

Sample

1st row052-287-4645
2nd row052-289-1345~8
3rd row052-219-1192
4th row052-215-7081
5th row052-280-4833
ValueCountFrequency (%)
052-295-5100 3
 
3.1%
052-288-0001 2
 
2.1%
052-256-1463 2
 
2.1%
052-283-8713 2
 
2.1%
052-276-1900 1
 
1.0%
052-298-6603 1
 
1.0%
052-289-9533 1
 
1.0%
052-219-0512 1
 
1.0%
052-298-8771 1
 
1.0%
052-285-2096 1
 
1.0%
Other values (81) 81
84.4%
2023-12-12T19:38:10.722855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 224
19.4%
- 191
16.6%
0 186
16.1%
5 158
13.7%
8 100
8.7%
1 74
 
6.4%
9 59
 
5.1%
3 46
 
4.0%
6 42
 
3.6%
4 36
 
3.1%
Other values (2) 36
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 960
83.3%
Dash Punctuation 191
 
16.6%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 224
23.3%
0 186
19.4%
5 158
16.5%
8 100
10.4%
1 74
 
7.7%
9 59
 
6.1%
3 46
 
4.8%
6 42
 
4.4%
4 36
 
3.8%
7 35
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1152
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 224
19.4%
- 191
16.6%
0 186
16.1%
5 158
13.7%
8 100
8.7%
1 74
 
6.4%
9 59
 
5.1%
3 46
 
4.0%
6 42
 
3.6%
4 36
 
3.1%
Other values (2) 36
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1152
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 224
19.4%
- 191
16.6%
0 186
16.1%
5 158
13.7%
8 100
8.7%
1 74
 
6.4%
9 59
 
5.1%
3 46
 
4.0%
6 42
 
3.6%
4 36
 
3.1%
Other values (2) 36
 
3.1%

Interactions

2023-12-12T19:38:04.849866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:38:10.873891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호폐기물종류지번주소도로명주소연락처
연번1.0001.0000.1990.7920.6020.818
상호1.0001.0001.0001.0001.0001.000
폐기물종류0.1991.0001.0000.0000.0000.978
지번주소0.7921.0000.0001.0001.0000.981
도로명주소0.6021.0000.0001.0001.0000.988
연락처0.8181.0000.9780.9810.9881.000
2023-12-12T19:38:10.999059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번폐기물종류
연번1.0000.023
폐기물종류0.0231.000

Missing values

2023-12-12T19:38:05.018446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:38:05.224307image/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

연번상호폐기물종류지번주소도로명주소데이터기준일자폐기물구분(사업장일반폐기물_지정폐기물)연락처
01㈜용산폐합성수지울산광역시 북구 연암동 496울산광역시 북구 무룡로 422023-07-20사업장일반폐기물052-287-4645
12오제이씨㈜폐합성수지울산광역시 북구 연암동 681울산광역시 북구 책골길 592023-07-20사업장일반폐기물052-289-1345~8
23덕양산업㈜폐합성수지울산광역시 북구 연암동 945울산광역시 북구 효암로 354-52023-07-20사업장일반폐기물052-219-1192
34현대모비스㈜그밖의 폐합성고분자화합물 외울산광역시 북구 염포동 265울산광역시 북구 염포로 7062023-07-20사업장일반폐기물052-215-7081
45현대자동차㈜폐합성수지 외울산광역시 북구 양정동 700울산광역시 북구 염포로 7002023-07-20사업장일반폐기물052-280-4833
56덕산산업㈜광재 외울산광역시 북구 연암동 714-17번지울산광역시 북구 공단길 482023-07-20사업장일반폐기물052-287-0443
67신화이디테크㈜제2공장폐수처리오니울산광역시 북구 연암동 936울산광역시 북구 효암로 354-62023-07-20사업장일반폐기물052-289-7000
78삼진정공㈜폐합성수지울산광역시 북구 연암동 643울산광역시 북구 무룡1로 742023-07-20사업장일반폐기물052-701-5000
89㈜대길폐수처리오니울산광역시 북구 효문동 811-3울산광역시 북구 산성로 602023-07-20사업장일반폐기물052-288-8585
910유포식품수산물가공잔재물울산광역시 북구 구유동 318울산광역시 북구 판지2길 52023-07-20사업장일반폐기물052-295-5100
연번상호폐기물종류지번주소도로명주소데이터기준일자폐기물구분(사업장일반폐기물_지정폐기물)연락처
8990전진산업 주식회사 매곡공장폐합성수지울산광역시 북구 매곡동 355-1울산광역시 북구 매곡산업5길 102023-07-20사업장일반폐기물052-246-1056
9091동성산업㈜폐합성수지울산광역시 북구 중산동 1044울산광역시 북구 산업로 15612023-07-20사업장일반폐기물052-912-7800
9192㈜오성하이테크폐합성수지울산광역시 북구 달천동 212-2울산광역시 북구 농공단지2길 182023-07-20사업장일반폐기물052-298-0316
9293㈜새정스타즈그 밖의 폐기물울산광역시 북구 신현동 산 120울산광역시 북구 미포산업로 8002023-07-20사업장일반폐기물052-286-8800
9394㈜신우지엠티폐합성수지울산광역시 북구 매곡동 342-5울산광역시 북구 매곡산업로 52023-07-20사업장일반폐기물052-281-6265
9495엔브이에이치오버헤드 시스템 주식회사 매곡공장폐합성수지울산광역시 북구 매곡동 886-4울산광역시 북구 매곡산업6길 22023-07-20사업장일반폐기물052-283-8713
9596재성아이디에스㈜폐합성수지울산광역시 북구 달천동 205-9울산광역시 북구 농공단지4길 492023-07-20사업장일반폐기물052-298-1019
9697일신테크그밖의광재류울산광역시 북구 달천동 205-11울산광역시 북구 농공단지 5길 42023-07-20사업장일반폐기물052-288-6400
9798주식회사 엠피로지스폐합성수지울산광역시 북구 연암동 502-1울산광역시 북구 무룡로 60-162023-07-20사업장일반폐기물052-289-9402
9899쿠팡㈜ 울산1캠프폐합성수지울산광역시 북구 진장동 1047-4울산광역시 북구 진장유통1로 452023-07-20사업장일반폐기물1577-7011