Overview

Dataset statistics

Number of variables7
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory59.3 B

Variable types

Text5
Numeric1
DateTime1

Dataset

Description경상남도 의령군 사업장폐기물 배출자 신고현황 정보를 제공하는 데이터입니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15060281

Alerts

데이터기준일 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:12:54.961691
Analysis finished2023-12-10 23:12:55.667721
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:12:55.831622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.2807018
Min length1

Characters and Unicode

Total characters130
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
2023-12-11T08:12:56.171704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 22
16.9%
2 21
16.2%
3 16
12.3%
4 15
11.5%
- 10
7.7%
5 8
 
6.2%
0 7
 
5.4%
9 6
 
4.6%
6 5
 
3.8%
7 5
 
3.8%
Other values (3) 15
11.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 110
84.6%
Dash Punctuation 10
 
7.7%
Other Letter 10
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 22
20.0%
2 21
19.1%
3 16
14.5%
4 15
13.6%
5 8
 
7.3%
0 7
 
6.4%
9 6
 
5.5%
6 5
 
4.5%
7 5
 
4.5%
8 5
 
4.5%
Other Letter
ValueCountFrequency (%)
지 5
50.0%
정 5
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120
92.3%
Hangul 10
 
7.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 22
18.3%
2 21
17.5%
3 16
13.3%
4 15
12.5%
- 10
8.3%
5 8
 
6.7%
0 7
 
5.8%
9 6
 
5.0%
6 5
 
4.2%
7 5
 
4.2%
Hangul
ValueCountFrequency (%)
지 5
50.0%
정 5
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120
92.3%
Hangul 10
 
7.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 22
18.3%
2 21
17.5%
3 16
13.3%
4 15
12.5%
- 10
8.3%
5 8
 
6.7%
0 7
 
5.8%
9 6
 
5.0%
6 5
 
4.2%
7 5
 
4.2%
Hangul
ValueCountFrequency (%)
지 5
50.0%
정 5
50.0%

업소명
Text

Distinct55
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:12:56.428091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.1052632
Min length2

Characters and Unicode

Total characters405
Distinct characters145
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

Unique53 ?
Unique (%)93.0%

Sample

1st row㈜피피이씨의령
2nd row(주)신창제지
3rd row신성제지공업사
4th row환경시설관리㈜ 부림폐수처리장
5th row태림페이퍼㈜ 의령공장
ValueCountFrequency (%)
청호환경산업㈜ 2
 
2.9%
의령공장 2
 
2.9%
주)케이와이엠텍 2
 
2.9%
삼일 2
 
2.9%
환경시설관리㈜ 2
 
2.9%
주원농산 1
 
1.4%
농업회사법인 1
 
1.4%
훌루테크㈜의령2공장 1
 
1.4%
의령컨트리클럽 1
 
1.4%
㈜호원 1
 
1.4%
Other values (55) 55
78.6%
2023-12-11T08:12:56.798561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 26
 
6.4%
산 13
 
3.2%
13
 
3.2%
이 12
 
3.0%
업 12
 
3.0%
( 11
 
2.7%
) 11
 
2.7%
주 11
 
2.7%
령 10
 
2.5%
의 10
 
2.5%
Other values (135) 276
68.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 340
84.0%
Other Symbol 26
 
6.4%
Space Separator 13
 
3.2%
Open Punctuation 11
 
2.7%
Close Punctuation 11
 
2.7%
Decimal Number 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 13
 
3.8%
이 12
 
3.5%
업 12
 
3.5%
주 11
 
3.2%
령 10
 
2.9%
의 10
 
2.9%
지 9
 
2.6%
경 8
 
2.4%
사 7
 
2.1%
장 7
 
2.1%
Other values (128) 241
70.9%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
90.4%
Common 37
 
9.1%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 26
 
7.1%
산 13
 
3.6%
이 12
 
3.3%
업 12
 
3.3%
주 11
 
3.0%
령 10
 
2.7%
의 10
 
2.7%
지 9
 
2.5%
경 8
 
2.2%
사 7
 
1.9%
Other values (129) 248
67.8%
Common
ValueCountFrequency (%)
13
35.1%
( 11
29.7%
) 11
29.7%
2 2
 
5.4%
Latin
ValueCountFrequency (%)
J 1
50.0%
S 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 340
84.0%
ASCII 39
 
9.6%
None 26
 
6.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 26
100.0%
Hangul
ValueCountFrequency (%)
산 13
 
3.8%
이 12
 
3.5%
업 12
 
3.5%
주 11
 
3.2%
령 10
 
2.9%
의 10
 
2.9%
지 9
 
2.6%
경 8
 
2.4%
사 7
 
2.1%
장 7
 
2.1%
Other values (128) 241
70.9%
ASCII
ValueCountFrequency (%)
13
33.3%
( 11
28.2%
) 11
28.2%
2 2
 
5.1%
J 1
 
2.6%
S 1
 
2.6%

소재지
Text

Distinct53
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:12:57.032308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.754386
Min length19

Characters and Unicode

Total characters1240
Distinct characters68
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

Unique49 ?
Unique (%)86.0%

Sample

1st row경상남도 의령군 부림면 한지20길 40-21
2nd row경상남도 의령군 봉수면 대한로 1198
3rd row경상남도 의령군 부림면 한지28길 17-8
4th row경상남도 의령군 부림면 한지20길 39-44
5th row경상남도 의령군 의령읍 구룡로1길 39
ValueCountFrequency (%)
의령군 56
19.6%
경상남도 55
19.2%
의령읍 19
 
6.6%
봉수면 11
 
3.8%
의합대로 8
 
2.8%
부림면 7
 
2.4%
한지18길 6
 
2.1%
한지20길 5
 
1.7%
구룡로1길 4
 
1.4%
구룡로4남길 4
 
1.4%
Other values (82) 111
38.8%
2023-12-11T08:12:57.447933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
243
19.6%
의 93
 
7.5%
령 75
 
6.0%
남 62
 
5.0%
경 57
 
4.6%
상 57
 
4.6%
도 56
 
4.5%
군 56
 
4.5%
1 48
 
3.9%
로 41
 
3.3%
Other values (58) 452
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
61.9%
Space Separator 243
 
19.6%
Decimal Number 210
 
16.9%
Dash Punctuation 19
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 93
12.1%
령 75
 
9.8%
남 62
 
8.1%
경 57
 
7.4%
상 57
 
7.4%
도 56
 
7.3%
군 56
 
7.3%
로 41
 
5.3%
면 37
 
4.8%
길 25
 
3.3%
Other values (45) 208
27.1%
Decimal Number
ValueCountFrequency (%)
1 48
22.9%
2 27
12.9%
4 23
11.0%
8 23
11.0%
0 19
 
9.0%
7 17
 
8.1%
3 15
 
7.1%
9 15
 
7.1%
6 12
 
5.7%
5 11
 
5.2%
Space Separator
ValueCountFrequency (%)
243
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 767
61.9%
Common 473
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 93
12.1%
령 75
 
9.8%
남 62
 
8.1%
경 57
 
7.4%
상 57
 
7.4%
도 56
 
7.3%
군 56
 
7.3%
로 41
 
5.3%
면 37
 
4.8%
길 25
 
3.3%
Other values (45) 208
27.1%
Common
ValueCountFrequency (%)
243
51.4%
1 48
 
10.1%
2 27
 
5.7%
4 23
 
4.9%
8 23
 
4.9%
- 19
 
4.0%
0 19
 
4.0%
7 17
 
3.6%
3 15
 
3.2%
9 15
 
3.2%
Other values (3) 24
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
61.9%
ASCII 473
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
243
51.4%
1 48
 
10.1%
2 27
 
5.7%
4 23
 
4.9%
8 23
 
4.9%
- 19
 
4.0%
0 19
 
4.0%
7 17
 
3.6%
3 15
 
3.2%
9 15
 
3.2%
Other values (3) 24
 
5.1%
Hangul
ValueCountFrequency (%)
의 93
12.1%
령 75
 
9.8%
남 62
 
8.1%
경 57
 
7.4%
상 57
 
7.4%
도 56
 
7.3%
군 56
 
7.3%
로 41
 
5.3%
면 37
 
4.8%
길 25
 
3.3%
Other values (45) 208
27.1%

전화번호
Text

Distinct51
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:12:57.712912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique47 ?
Unique (%)82.5%

Sample

1st row055-574-4711
2nd row055-572-9377
3rd row055-574-6012
4th row055-574-7472
5th row055-572-3020
ValueCountFrequency (%)
055-572-2424 3
 
5.3%
055-573-1534 3
 
5.3%
055-574-8756 2
 
3.5%
055-573-1471 2
 
3.5%
055-574-2233 1
 
1.8%
055-574-6161 1
 
1.8%
055-585-0366 1
 
1.8%
055-574-0227 1
 
1.8%
055-574-3449 1
 
1.8%
055-572-6901 1
 
1.8%
Other values (41) 41
71.9%
2023-12-11T08:12:58.147025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 198
28.9%
- 114
16.7%
0 93
13.6%
7 75
 
11.0%
4 45
 
6.6%
3 41
 
6.0%
2 36
 
5.3%
1 26
 
3.8%
9 23
 
3.4%
6 21
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 198
34.7%
0 93
16.3%
7 75
 
13.2%
4 45
 
7.9%
3 41
 
7.2%
2 36
 
6.3%
1 26
 
4.6%
9 23
 
4.0%
6 21
 
3.7%
8 12
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 198
28.9%
- 114
16.7%
0 93
13.6%
7 75
 
11.0%
4 45
 
6.6%
3 41
 
6.0%
2 36
 
5.3%
1 26
 
3.8%
9 23
 
3.4%
6 21
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 198
28.9%
- 114
16.7%
0 93
13.6%
7 75
 
11.0%
4 45
 
6.6%
3 41
 
6.0%
2 36
 
5.3%
1 26
 
3.8%
9 23
 
3.4%
6 21
 
3.1%

폐기물
Text

Distinct41
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-11T08:12:58.443516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length21
Mean length9.8070175
Min length3

Characters and Unicode

Total characters559
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)59.6%

Sample

1st row그 밖의 식물성잔재물+폐합성수지류+그 밖의 연소잔재물
2nd row폐수오니
3rd row페수오니
4th row폐수처리오니
5th row폐합성수지+폐합성섬유+사업장폐기물 소각시설(바닥재)+사업장폐기물소각시설(비산재)
ValueCountFrequency (%)
밖의 16
 
16.3%
그 9
 
9.2%
폐합성수지류 7
 
7.1%
폐콘크리트 4
 
4.1%
폐합성수지 4
 
4.1%
분진 3
 
3.1%
폐목재류 2
 
2.0%
분진+폐합성수지류 2
 
2.0%
폐목재 2
 
2.0%
폐활성탄 2
 
2.0%
Other values (45) 47
48.0%
2023-12-11T08:12:58.855317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 64
 
11.4%
41
 
7.3%
성 35
 
6.3%
수 35
 
6.3%
+ 33
 
5.9%
지 28
 
5.0%
합 27
 
4.8%
재 19
 
3.4%
류 17
 
3.0%
물 17
 
3.0%
Other values (69) 243
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 477
85.3%
Space Separator 41
 
7.3%
Math Symbol 33
 
5.9%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 64
 
13.4%
성 35
 
7.3%
수 35
 
7.3%
지 28
 
5.9%
합 27
 
5.7%
재 19
 
4.0%
류 17
 
3.6%
물 17
 
3.6%
그 16
 
3.4%
밖 16
 
3.4%
Other values (63) 203
42.6%
Space Separator
ValueCountFrequency (%)
41
100.0%
Math Symbol
ValueCountFrequency (%)
+ 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 477
85.3%
Common 82
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 64
 
13.4%
성 35
 
7.3%
수 35
 
7.3%
지 28
 
5.9%
합 27
 
5.7%
재 19
 
4.0%
류 17
 
3.6%
물 17
 
3.6%
그 16
 
3.4%
밖 16
 
3.4%
Other values (63) 203
42.6%
Common
ValueCountFrequency (%)
41
50.0%
+ 33
40.2%
( 3
 
3.7%
) 3
 
3.7%
2 1
 
1.2%
· 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 477
85.3%
ASCII 81
 
14.5%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 64
 
13.4%
성 35
 
7.3%
수 35
 
7.3%
지 28
 
5.9%
합 27
 
5.7%
재 19
 
4.0%
류 17
 
3.6%
물 17
 
3.6%
그 16
 
3.4%
밖 16
 
3.4%
Other values (63) 203
42.6%
ASCII
ValueCountFrequency (%)
41
50.6%
+ 33
40.7%
( 3
 
3.7%
) 3
 
3.7%
2 1
 
1.2%
None
ValueCountFrequency (%)
· 1
100.0%

배출량(톤/년)
Real number (ℝ)

Distinct41
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1589.6667
Minimum1
Maximum48000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-11T08:12:59.014032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q136
median120
Q3492
95-th percentile5502
Maximum48000
Range47999
Interquartile range (IQR)456

Descriptive statistics

Standard deviation6540.8774
Coefficient of variation (CV)4.114622
Kurtosis47.350747
Mean1589.6667
Median Absolute Deviation (MAD)110
Skewness6.6859965
Sum90611
Variance42783077
MonotonicityNot monotonic
2023-12-11T08:12:59.190139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
6 4
 
7.0%
2400 3
 
5.3%
36 3
 
5.3%
120 3
 
5.3%
60 3
 
5.3%
180 2
 
3.5%
300 2
 
3.5%
1200 2
 
3.5%
10 2
 
3.5%
48 2
 
3.5%
Other values (31) 31
54.4%
ValueCountFrequency (%)
1 1
 
1.8%
6 4
7.0%
10 2
3.5%
12 1
 
1.8%
22 1
 
1.8%
24 1
 
1.8%
27 1
 
1.8%
29 1
 
1.8%
36 3
5.3%
44 1
 
1.8%
ValueCountFrequency (%)
48000 1
 
1.8%
12000 1
 
1.8%
6150 1
 
1.8%
5340 1
 
1.8%
2400 3
5.3%
1300 1
 
1.8%
1200 2
3.5%
1140 1
 
1.8%
600 1
 
1.8%
540 1
 
1.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
Minimum2020-12-11 00:00:00
Maximum2020-12-11 00:00:00
2023-12-11T08:12:59.341740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:59.458258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:12:55.414150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:12:59.558699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지전화번호폐기물배출량(톤/년)
연번1.0001.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0000.9621.000
소재지1.0001.0001.0000.9980.0000.234
전화번호1.0001.0000.9981.0000.9571.000
폐기물1.0000.9620.0000.9571.0001.000
배출량(톤/년)1.0001.0000.2341.0001.0001.000

Missing values

2023-12-11T08:12:55.513444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:55.619356image/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

연번업소명소재지전화번호폐기물배출량(톤/년)데이터기준일
01㈜피피이씨의령경상남도 의령군 부림면 한지20길 40-21055-574-4711그 밖의 식물성잔재물+폐합성수지류+그 밖의 연소잔재물24002020-12-11
12(주)신창제지경상남도 의령군 봉수면 대한로 1198055-572-9377폐수오니452020-12-11
23신성제지공업사경상남도 의령군 부림면 한지28길 17-8055-574-6012페수오니442020-12-11
34환경시설관리㈜ 부림폐수처리장경상남도 의령군 부림면 한지20길 39-44055-574-7472폐수처리오니1002020-12-11
45태림페이퍼㈜ 의령공장경상남도 의령군 의령읍 구룡로1길 39055-572-3020폐합성수지+폐합성섬유+사업장폐기물 소각시설(바닥재)+사업장폐기물소각시설(비산재)120002020-12-11
56대익이엔지㈜경상남도 의령군 의령읍 구룡로 242055-572-1600분 진2712020-12-11
67한국전력공사 의령지점경상남도 의령군 의령읍 의병로 181055-570-3233폐전주792020-12-11
78대상레미콘㈜경상남도 의령군 가례면 의병로 105-3055-573-9960폐콘크리트62020-12-11
89환경시설관리㈜경상남도 의령군 의령읍 의합대로 44-54055-573-0225하수처리오니+가축분뇨처리오니+공정오니24002020-12-11
910문화콘크리트경상남도 의령군 봉수면 한지18길 12-9055-574-8558폐콘크리트1202020-12-11
연번업소명소재지전화번호폐기물배출량(톤/년)데이터기준일
4748㈜코레코경상남도 의령군 의령읍 구룡로 16055-574-7700폐토사+폐합성수지+그 밖의 무기성오니53402020-12-11
4849삼정알텍경상남도 의령군 정곡면 의합대로 986055-574-8756비철금속 제련공정 광재+그 밖의 분진4802020-12-11
4950주식회사 세림테크경상남도 의령군 봉수면 한지18길 64055-572-5968폐활성탄62020-12-11
5051솔토 엔지니어링경상남도 의령군 봉수면 직금로 284055-574-3074폐합성수지류602020-12-11
5152수림산업경상남도 의령군 지정면 함의로 1581-12055-572-0230그 밖의 폐목재류1502020-12-11
52지정-12-1보성자동차해체 재활용업경상남도 의령군 가례면 봉두리 17055-573-5300폐축전지+폐유242020-12-11
53지정-13-2대영포장경상남도 의령군 의령읍 구룡로 160055-573-5691수성페인트102020-12-11
54지정-19-1삼일경상남도 의령군 대의면 대의로 53-70055-573-1471그 밖의 광물류122020-12-11
55지정-20-1산하건설㈜서울특별시 강남구 언주로174길 17,2층055-572-9294그 밖의 폐광물류62020-12-11
56지정-20-2대동카센타경상남도 의령군 의령읍 의병로14길 28055-572-1333폐황산이 포함된 2차 폐축전지12020-12-11