Overview

Dataset statistics

Number of variables5
Number of observations2773
Missing cells0
Missing cells (%)0.0%
Duplicate rows421
Duplicate rows (%)15.2%
Total size in memory111.2 KiB
Average record size in memory41.0 B

Variable types

Text3
Numeric1
Categorical1

Dataset

Description경상남도 창원시의 사업장폐기물배출자 신고현황입니다. 항목은 상호, 폐기물 종류, 사업장도로명주소, 신고기준년도 등입니다.
URLhttps://www.data.go.kr/data/15060414/fileData.do

Alerts

Dataset has 421 (15.2%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 19:12:57.601744
Analysis finished2023-12-12 19:12:58.429047
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct813
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2023-12-13T04:12:58.594594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length23
Mean length9.8139199
Min length2

Characters and Unicode

Total characters27214
Distinct characters417
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique363 ?
Unique (%)13.1%

Sample

1st row창원토월고등학교
2nd row마산여자고등학교
3rd row(주)우성
4th row(주)우성
5th row한국어촌어항공단
ValueCountFrequency (%)
주식회사 213
 
6.0%
효성중공업(주 60
 
1.7%
엘지전자(주 53
 
1.5%
창원시 53
 
1.5%
창원1공장 37
 
1.0%
주)세아창원특수강 35
 
1.0%
창원2공장 34
 
1.0%
창원공장 34
 
1.0%
대림비앤코(주 29
 
0.8%
두산중공업(주 28
 
0.8%
Other values (858) 2962
83.7%
2023-12-13T04:12:58.975657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2153
 
7.9%
( 2020
 
7.4%
) 2020
 
7.4%
860
 
3.2%
765
 
2.8%
725
 
2.7%
666
 
2.4%
548
 
2.0%
515
 
1.9%
490
 
1.8%
Other values (407) 16452
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21628
79.5%
Open Punctuation 2027
 
7.4%
Close Punctuation 2027
 
7.4%
Space Separator 765
 
2.8%
Decimal Number 426
 
1.6%
Uppercase Letter 209
 
0.8%
Connector Punctuation 49
 
0.2%
Lowercase Letter 42
 
0.2%
Math Symbol 22
 
0.1%
Other Punctuation 16
 
0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2153
 
10.0%
860
 
4.0%
725
 
3.4%
666
 
3.1%
548
 
2.5%
515
 
2.4%
490
 
2.3%
489
 
2.3%
372
 
1.7%
333
 
1.5%
Other values (362) 14477
66.9%
Uppercase Letter
ValueCountFrequency (%)
H 43
20.6%
S 31
14.8%
F 26
12.4%
M 22
10.5%
T 19
9.1%
X 16
 
7.7%
B 14
 
6.7%
K 11
 
5.3%
G 6
 
2.9%
C 6
 
2.9%
Other values (8) 15
 
7.2%
Decimal Number
ValueCountFrequency (%)
2 133
31.2%
1 96
22.5%
3 51
 
12.0%
8 49
 
11.5%
7 27
 
6.3%
9 21
 
4.9%
5 19
 
4.5%
4 17
 
4.0%
0 11
 
2.6%
6 2
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
g 12
28.6%
i 12
28.6%
n 6
14.3%
o 6
14.3%
r 6
14.3%
Open Punctuation
ValueCountFrequency (%)
( 2020
99.7%
[ 7
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 2020
99.7%
] 7
 
0.3%
Other Punctuation
ValueCountFrequency (%)
& 15
93.8%
/ 1
 
6.2%
Math Symbol
ValueCountFrequency (%)
< 11
50.0%
> 11
50.0%
Space Separator
ValueCountFrequency (%)
765
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 49
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21630
79.5%
Common 5333
 
19.6%
Latin 251
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2153
 
10.0%
860
 
4.0%
725
 
3.4%
666
 
3.1%
548
 
2.5%
515
 
2.4%
490
 
2.3%
489
 
2.3%
372
 
1.7%
333
 
1.5%
Other values (363) 14479
66.9%
Latin
ValueCountFrequency (%)
H 43
17.1%
S 31
12.4%
F 26
10.4%
M 22
8.8%
T 19
7.6%
X 16
 
6.4%
B 14
 
5.6%
g 12
 
4.8%
i 12
 
4.8%
K 11
 
4.4%
Other values (13) 45
17.9%
Common
ValueCountFrequency (%)
( 2020
37.9%
) 2020
37.9%
765
 
14.3%
2 133
 
2.5%
1 96
 
1.8%
3 51
 
1.0%
_ 49
 
0.9%
8 49
 
0.9%
7 27
 
0.5%
9 21
 
0.4%
Other values (11) 102
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21628
79.5%
ASCII 5584
 
20.5%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2153
 
10.0%
860
 
4.0%
725
 
3.4%
666
 
3.1%
548
 
2.5%
515
 
2.4%
490
 
2.3%
489
 
2.3%
372
 
1.7%
333
 
1.5%
Other values (362) 14477
66.9%
ASCII
ValueCountFrequency (%)
( 2020
36.2%
) 2020
36.2%
765
 
13.7%
2 133
 
2.4%
1 96
 
1.7%
3 51
 
0.9%
_ 49
 
0.9%
8 49
 
0.9%
H 43
 
0.8%
S 31
 
0.6%
Other values (34) 327
 
5.9%
None
ValueCountFrequency (%)
2
100.0%

신고년도
Real number (ℝ)

Distinct30
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2007.9592
Minimum1992
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size24.5 KiB
2023-12-13T04:12:59.132240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1992
5-th percentile1996
Q11999
median2007
Q32018
95-th percentile2023
Maximum2023
Range31
Interquartile range (IQR)19

Descriptive statistics

Standard deviation10.029473
Coefficient of variation (CV)0.0049948589
Kurtosis-1.4389397
Mean2007.9592
Median Absolute Deviation (MAD)10
Skewness0.17490844
Sum5568071
Variance100.59033
MonotonicityDecreasing
2023-12-13T04:12:59.262547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1996 509
18.4%
2022 369
 
13.3%
2000 240
 
8.7%
2023 159
 
5.7%
1999 113
 
4.1%
2007 104
 
3.8%
2011 98
 
3.5%
2012 82
 
3.0%
1997 77
 
2.8%
2016 77
 
2.8%
Other values (20) 945
34.1%
ValueCountFrequency (%)
1992 52
 
1.9%
1995 7
 
0.3%
1996 509
18.4%
1997 77
 
2.8%
1998 23
 
0.8%
1999 113
 
4.1%
2000 240
8.7%
2001 42
 
1.5%
2002 75
 
2.7%
2003 29
 
1.0%
ValueCountFrequency (%)
2023 159
5.7%
2022 369
13.3%
2021 32
 
1.2%
2020 55
 
2.0%
2019 48
 
1.7%
2018 31
 
1.1%
2017 61
 
2.2%
2016 77
 
2.8%
2015 26
 
0.9%
2014 65
 
2.3%

생활계구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
배출시설계
1826 
비배출시설계
879 
 
68

Length

Max length6
Median length5
Mean length5.2188965
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
배출시설계 1826
65.8%
비배출시설계 879
31.7%
68
 
2.5%

Length

2023-12-13T04:12:59.419740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:12:59.524833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출시설계 1826
67.5%
비배출시설계 879
32.5%
Distinct127
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2023-12-13T04:12:59.816612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length57
Mean length16.163722
Min length1

Characters and Unicode

Total characters44822
Distinct characters223
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)0.9%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row폐합성수지류(폐염화비닐수지류는 제외한다)
3rd row폐합성수지류(폐염화비닐수지류는 제외한다)
4th row그 밖의 폐목재류
5th row폐합성수지류(폐염화비닐수지류는 제외한다)
ValueCountFrequency (%)
밖의 818
 
10.1%
818
 
10.1%
제외한다 630
 
7.8%
폐합성수지류(폐염화비닐수지류는 609
 
7.5%
말한다 303
 
3.7%
폐기물 198
 
2.4%
과정에서 193
 
2.4%
등의 190
 
2.3%
폐수처리오니 183
 
2.3%
등을 181
 
2.2%
Other values (207) 4005
49.3%
2023-12-13T04:13:00.391516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5452
 
12.2%
3266
 
7.3%
1828
 
4.1%
1729
 
3.9%
1631
 
3.6%
1127
 
2.5%
1116
 
2.5%
1025
 
2.3%
) 1012
 
2.3%
( 1012
 
2.3%
Other values (213) 25624
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36423
81.3%
Space Separator 5452
 
12.2%
Close Punctuation 1027
 
2.3%
Open Punctuation 1027
 
2.3%
Connector Punctuation 822
 
1.8%
Decimal Number 55
 
0.1%
Lowercase Letter 12
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3266
 
9.0%
1828
 
5.0%
1729
 
4.7%
1631
 
4.5%
1127
 
3.1%
1116
 
3.1%
1025
 
2.8%
1010
 
2.8%
900
 
2.5%
882
 
2.4%
Other values (196) 21909
60.2%
Lowercase Letter
ValueCountFrequency (%)
e 4
33.3%
h 2
16.7%
t 2
16.7%
a 2
16.7%
l 2
16.7%
Decimal Number
ValueCountFrequency (%)
1 32
58.2%
8 15
27.3%
2 6
 
10.9%
4 2
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 1012
98.5%
15
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 1012
98.5%
15
 
1.5%
Space Separator
ValueCountFrequency (%)
5452
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 822
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36423
81.3%
Common 8385
 
18.7%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3266
 
9.0%
1828
 
5.0%
1729
 
4.7%
1631
 
4.5%
1127
 
3.1%
1116
 
3.1%
1025
 
2.8%
1010
 
2.8%
900
 
2.5%
882
 
2.4%
Other values (196) 21909
60.2%
Common
ValueCountFrequency (%)
5452
65.0%
) 1012
 
12.1%
( 1012
 
12.1%
_ 822
 
9.8%
1 32
 
0.4%
8 15
 
0.2%
15
 
0.2%
15
 
0.2%
2 6
 
0.1%
4 2
 
< 0.1%
Latin
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
C 2
14.3%
t 2
14.3%
a 2
14.3%
l 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36296
81.0%
ASCII 8369
 
18.7%
Compat Jamo 127
 
0.3%
None 30
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5452
65.1%
) 1012
 
12.1%
( 1012
 
12.1%
_ 822
 
9.8%
1 32
 
0.4%
8 15
 
0.2%
2 6
 
0.1%
e 4
 
< 0.1%
4 2
 
< 0.1%
h 2
 
< 0.1%
Other values (5) 10
 
0.1%
Hangul
ValueCountFrequency (%)
3266
 
9.0%
1828
 
5.0%
1729
 
4.8%
1631
 
4.5%
1127
 
3.1%
1116
 
3.1%
1025
 
2.8%
1010
 
2.8%
900
 
2.5%
882
 
2.4%
Other values (195) 21782
60.0%
Compat Jamo
ValueCountFrequency (%)
127
100.0%
None
ValueCountFrequency (%)
15
50.0%
15
50.0%
Distinct737
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size21.8 KiB
2023-12-13T04:13:00.900181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length46
Mean length29.177786
Min length1

Characters and Unicode

Total characters80910
Distinct characters359
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

Unique319 ?
Unique (%)11.5%

Sample

1st row경상남도 창원시 성산구 비음로91번길 8_ 창원토월고등학교 (토월동)
2nd row경상남도 창원시 마산합포구 고운로 157_ 마산여자고등학교 (완월동)
3rd row경상남도 거창군 거창읍 주곡로 359
4th row경상남도 거창군 거창읍 주곡로 359
5th row서울특별시 금천구 가산디지털2로 53_ 한라시그마밸리 (가산동)
ValueCountFrequency (%)
경상남도 2640
 
15.6%
창원시 2587
 
15.2%
성산구 1368
 
8.1%
마산합포구 416
 
2.5%
의창구 307
 
1.8%
신촌동 272
 
1.6%
마산회원구 271
 
1.6%
진해구 225
 
1.3%
공단로 224
 
1.3%
성주동 218
 
1.3%
Other values (1229) 8442
49.7%
2023-12-13T04:13:01.579794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14357
 
17.7%
3407
 
4.2%
3278
 
4.1%
3153
 
3.9%
3013
 
3.7%
2755
 
3.4%
2750
 
3.4%
2739
 
3.4%
2705
 
3.3%
2675
 
3.3%
Other values (349) 40078
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50898
62.9%
Space Separator 14357
 
17.7%
Decimal Number 9476
 
11.7%
Open Punctuation 2475
 
3.1%
Close Punctuation 2475
 
3.1%
Connector Punctuation 615
 
0.8%
Dash Punctuation 358
 
0.4%
Uppercase Letter 178
 
0.2%
Other Punctuation 70
 
0.1%
Lowercase Letter 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3407
 
6.7%
3278
 
6.4%
3153
 
6.2%
3013
 
5.9%
2755
 
5.4%
2750
 
5.4%
2739
 
5.4%
2705
 
5.3%
2675
 
5.3%
2633
 
5.2%
Other values (307) 21790
42.8%
Uppercase Letter
ValueCountFrequency (%)
T 39
21.9%
S 25
14.0%
I 20
11.2%
E 19
10.7%
H 17
9.6%
K 11
 
6.2%
X 9
 
5.1%
O 6
 
3.4%
B 6
 
3.4%
C 5
 
2.8%
Other values (10) 21
11.8%
Decimal Number
ValueCountFrequency (%)
1 1884
19.9%
2 1411
14.9%
3 1081
11.4%
4 928
9.8%
0 822
8.7%
6 810
8.5%
5 697
 
7.4%
7 694
 
7.3%
8 650
 
6.9%
9 499
 
5.3%
Lowercase Letter
ValueCountFrequency (%)
r 2
25.0%
e 2
25.0%
w 2
25.0%
o 2
25.0%
Other Punctuation
ValueCountFrequency (%)
· 59
84.3%
& 9
 
12.9%
. 2
 
2.9%
Space Separator
ValueCountFrequency (%)
14357
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2475
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50898
62.9%
Common 29826
36.9%
Latin 186
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3407
 
6.7%
3278
 
6.4%
3153
 
6.2%
3013
 
5.9%
2755
 
5.4%
2750
 
5.4%
2739
 
5.4%
2705
 
5.3%
2675
 
5.3%
2633
 
5.2%
Other values (307) 21790
42.8%
Latin
ValueCountFrequency (%)
T 39
21.0%
S 25
13.4%
I 20
10.8%
E 19
10.2%
H 17
9.1%
K 11
 
5.9%
X 9
 
4.8%
O 6
 
3.2%
B 6
 
3.2%
C 5
 
2.7%
Other values (14) 29
15.6%
Common
ValueCountFrequency (%)
14357
48.1%
( 2475
 
8.3%
) 2475
 
8.3%
1 1884
 
6.3%
2 1411
 
4.7%
3 1081
 
3.6%
4 928
 
3.1%
0 822
 
2.8%
6 810
 
2.7%
5 697
 
2.3%
Other values (8) 2886
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50898
62.9%
ASCII 29953
37.0%
None 59
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14357
47.9%
( 2475
 
8.3%
) 2475
 
8.3%
1 1884
 
6.3%
2 1411
 
4.7%
3 1081
 
3.6%
4 928
 
3.1%
0 822
 
2.7%
6 810
 
2.7%
5 697
 
2.3%
Other values (31) 3013
 
10.1%
Hangul
ValueCountFrequency (%)
3407
 
6.7%
3278
 
6.4%
3153
 
6.2%
3013
 
5.9%
2755
 
5.4%
2750
 
5.4%
2739
 
5.4%
2705
 
5.3%
2675
 
5.3%
2633
 
5.2%
Other values (307) 21790
42.8%
None
ValueCountFrequency (%)
· 59
100.0%

Interactions

2023-12-13T04:12:58.156773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:13:01.716348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고년도생활계구분
신고년도1.0000.654
생활계구분0.6541.000
2023-12-13T04:13:01.834638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고년도생활계구분
신고년도1.0000.499
생활계구분0.4991.000

Missing values

2023-12-13T04:12:58.278604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:12:58.385479image/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

상호신고년도생활계구분폐기물 종류사업장도로명주소
0창원토월고등학교2023비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 성산구 비음로91번길 8_ 창원토월고등학교 (토월동)
1마산여자고등학교2023비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 마산합포구 고운로 157_ 마산여자고등학교 (완월동)
2(주)우성2023비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 거창군 거창읍 주곡로 359
3(주)우성2023비배출시설계그 밖의 폐목재류경상남도 거창군 거창읍 주곡로 359
4한국어촌어항공단2023비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)서울특별시 금천구 가산디지털2로 53_ 한라시그마밸리 (가산동)
5(주)케이지건설2023비배출시설계임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)경상남도 창원시 마산합포구 합포동6길 7-1_ 케이지빌딩 2층 (산호동)
6창원시청(체육진흥과)2023비배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 성산구 중앙대로 151-7_ 창원시청 (용호동)
7픽업나라2023비배출시설계그 밖의 폐목재류경상남도 창원시 마산회원구 구암남2길 40_ 112호 (구암동_ 동립연립주택)
8상원조경(주)2023비배출시설계그 밖의 폐목재류경상남도 창원시 진해구 이동로38번길 13 (이동)
9서영개발(주)2023비배출시설계임목폐목재(건설공사_ 산지개간 등의 과정에서 발생된 나무뿌리_ 가지_ 줄기 등을 말한다)경상남도 창원시 마산합포구 현동7길 28 (현동)
상호신고년도생활계구분폐기물 종류사업장도로명주소
2763현대모비스(주)<창원공장>1992배출시설계폐활성탄경상남도 창원시 성산구 성산패총로 87 (성산동)
2764현대모비스(주)<창원공장>1992배출시설계폐합성수지류경상남도 창원시 성산구 성산패총로 87 (성산동)
2765현대모비스(주)<창원공장>1992배출시설계폐흡착제경상남도 창원시 성산구 성산패총로 87 (성산동)
2766현대모비스(주)<창원공장>1992배출시설계폐수처리오니경상남도 창원시 성산구 성산패총로 87 (성산동)
2767현대모비스(주)<창원공장>1992배출시설계폐받침목경상남도 창원시 성산구 성산패총로 87 (성산동)
2768현대모비스(주)<창원공장>1992배출시설계폐합성수지류경상남도 창원시 성산구 성산패총로 87 (성산동)
2769현대모비스(주)<창원공장>1992배출시설계그 밖의 폐기물경상남도 창원시 성산구 성산패총로 87 (성산동)
2770현대모비스(주)<창원공장>1992배출시설계폐활성탄경상남도 창원시 성산구 성산패총로 87 (성산동)
2771현대모비스(주)<창원공장>1992비배출시설계음식물류 폐기물경상남도 창원시 성산구 성산패총로 87 (성산동)
2772현대모비스(주)<창원공장>1992배출시설계그 밖의 공정오니경상남도 창원시 성산구 성산패총로 87 (성산동)

Duplicate rows

Most frequently occurring

상호신고년도생활계구분폐기물 종류사업장도로명주소# duplicates
128가음8구역 재건축정비사업조합2022비배출시설계건설폐토석경상남도 창원시 성산구 정동로162번길 57_ 한양상가 3층 3-2호 (남산동)17
274엘지전자(주)1996배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 성산구 성산패총로 170 (가음정동)14
2(주)MH에탄올1996배출시설계그 밖의 폐수처리오니경상남도 창원시 마산회원구 내서읍 광려천남로 2513
275엘지전자(주)1996배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 성산구 완암로 84 (성산동_ 엘지전자(주)(창원2공장))13
209디에스공영(주)2011배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 마산합포구 진북면 산단3길 32-259
302주식회사 마루에너지2016배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 마산합포구 진북면 진북산업로 6139
182동서식품(주)1996배출시설계그 밖의 폐수처리오니경상남도 창원시 의창구 반계로 40 (팔용동)7
257세방전지(주)2000배출시설계폐합성수지류(폐염화비닐수지류는 제외한다)경상남도 창원시 성산구 정동로 122 (남산동)7
408환경시설관리 주식회사2011배출시설계그 밖의 폐수처리오니경상남도 창원시 마산합포구 진북면 산단3길 87 (진북공공폐수처리시설)7
48(주)세아창원특수강1997배출시설계그 밖의 공정오니경상남도 창원시 성산구 적현로 147 (신촌동)6