Overview

Dataset statistics

Number of variables7
Number of observations63
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory59.1 B

Variable types

Numeric1
Text5
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 23:12:39.058989
Analysis finished2023-12-10 23:12:39.835947
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct63
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32
Minimum1
Maximum63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size699.0 B
2023-12-11T08:12:39.906969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.1
Q116.5
median32
Q347.5
95-th percentile59.9
Maximum63
Range62
Interquartile range (IQR)31

Descriptive statistics

Standard deviation18.330303
Coefficient of variation (CV)0.57282196
Kurtosis-1.2
Mean32
Median Absolute Deviation (MAD)16
Skewness0
Sum2016
Variance336
MonotonicityStrictly increasing
2023-12-11T08:12:40.060133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
2 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
42 1
 
1.6%
Other values (53) 53
84.1%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
63 1
1.6%
62 1
1.6%
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%

업소명
Text

Distinct60
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:12:40.342657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length6.968254
Min length2

Characters and Unicode

Total characters439
Distinct characters149
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

Unique57 ?
Unique (%)90.5%

Sample

1st row㈜피피이씨의령
2nd row(주)신창제지
3rd row신성제지공업사
4th row환경시설관리㈜ 부림폐수처리장
5th row태림페이퍼㈜ 의령공장
ValueCountFrequency (%)
동부환경 2
 
2.6%
의령공장 2
 
2.6%
청호환경산업㈜ 2
 
2.6%
삼일 2
 
2.6%
환경시설관리㈜ 2
 
2.6%
주)케이와이엠텍 2
 
2.6%
주)수협사료 1
 
1.3%
㈜인우 1
 
1.3%
㈜의령산업개발 1
 
1.3%
sj테크 1
 
1.3%
Other values (60) 60
78.9%
2023-12-11T08:12:40.754783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 33
 
7.5%
이 15
 
3.4%
13
 
3.0%
산 12
 
2.7%
업 11
 
2.5%
( 10
 
2.3%
의 10
 
2.3%
령 10
 
2.3%
) 10
 
2.3%
지 10
 
2.3%
Other values (139) 305
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 369
84.1%
Other Symbol 33
 
7.5%
Space Separator 13
 
3.0%
Open Punctuation 10
 
2.3%
Close Punctuation 10
 
2.3%
Decimal Number 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 15
 
4.1%
산 12
 
3.3%
업 11
 
3.0%
의 10
 
2.7%
령 10
 
2.7%
지 10
 
2.7%
주 10
 
2.7%
경 9
 
2.4%
리 8
 
2.2%
장 8
 
2.2%
Other values (132) 266
72.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 33
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
91.6%
Common 35
 
8.0%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 33
 
8.2%
이 15
 
3.7%
산 12
 
3.0%
업 11
 
2.7%
의 10
 
2.5%
령 10
 
2.5%
지 10
 
2.5%
주 10
 
2.5%
경 9
 
2.2%
리 8
 
2.0%
Other values (133) 274
68.2%
Common
ValueCountFrequency (%)
13
37.1%
( 10
28.6%
) 10
28.6%
2 2
 
5.7%
Latin
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 369
84.1%
ASCII 37
 
8.4%
None 33
 
7.5%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 33
100.0%
Hangul
ValueCountFrequency (%)
이 15
 
4.1%
산 12
 
3.3%
업 11
 
3.0%
의 10
 
2.7%
령 10
 
2.7%
지 10
 
2.7%
주 10
 
2.7%
경 9
 
2.4%
리 8
 
2.2%
장 8
 
2.2%
Other values (132) 266
72.1%
ASCII
ValueCountFrequency (%)
13
35.1%
( 10
27.0%
) 10
27.0%
2 2
 
5.4%
S 1
 
2.7%
J 1
 
2.7%

소재지
Text

Distinct58
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:12:41.013146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.746032
Min length19

Characters and Unicode

Total characters1370
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

Unique53 ?
Unique (%)84.1%

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 62
19.6%
경상남도 61
19.2%
의령읍 19
 
6.0%
봉수면 13
 
4.1%
부림면 8
 
2.5%
의합대로 7
 
2.2%
직금로 6
 
1.9%
한지18길 6
 
1.9%
한지20길 5
 
1.6%
구룡로 4
 
1.3%
Other values (92) 126
39.7%
2023-12-11T08:12:41.421911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
19.6%
의 100
 
7.3%
령 81
 
5.9%
남 68
 
5.0%
경 63
 
4.6%
상 63
 
4.6%
도 62
 
4.5%
군 62
 
4.5%
1 53
 
3.9%
로 44
 
3.2%
Other values (61) 506
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 849
62.0%
Space Separator 268
 
19.6%
Decimal Number 232
 
16.9%
Dash Punctuation 20
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 100
11.8%
령 81
 
9.5%
남 68
 
8.0%
경 63
 
7.4%
상 63
 
7.4%
도 62
 
7.3%
군 62
 
7.3%
로 44
 
5.2%
면 43
 
5.1%
길 26
 
3.1%
Other values (48) 237
27.9%
Decimal Number
ValueCountFrequency (%)
1 53
22.8%
2 33
14.2%
4 24
10.3%
8 23
9.9%
3 20
 
8.6%
0 20
 
8.6%
7 17
 
7.3%
9 17
 
7.3%
6 13
 
5.6%
5 12
 
5.2%
Space Separator
ValueCountFrequency (%)
268
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 849
62.0%
Common 521
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 100
11.8%
령 81
 
9.5%
남 68
 
8.0%
경 63
 
7.4%
상 63
 
7.4%
도 62
 
7.3%
군 62
 
7.3%
로 44
 
5.2%
면 43
 
5.1%
길 26
 
3.1%
Other values (48) 237
27.9%
Common
ValueCountFrequency (%)
268
51.4%
1 53
 
10.2%
2 33
 
6.3%
4 24
 
4.6%
8 23
 
4.4%
3 20
 
3.8%
0 20
 
3.8%
- 20
 
3.8%
7 17
 
3.3%
9 17
 
3.3%
Other values (3) 26
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 849
62.0%
ASCII 521
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
51.4%
1 53
 
10.2%
2 33
 
6.3%
4 24
 
4.6%
8 23
 
4.4%
3 20
 
3.8%
0 20
 
3.8%
- 20
 
3.8%
7 17
 
3.3%
9 17
 
3.3%
Other values (3) 26
 
5.0%
Hangul
ValueCountFrequency (%)
의 100
11.8%
령 81
 
9.5%
남 68
 
8.0%
경 63
 
7.4%
상 63
 
7.4%
도 62
 
7.3%
군 62
 
7.3%
로 44
 
5.2%
면 43
 
5.1%
길 26
 
3.1%
Other values (48) 237
27.9%

전화번호
Text

Distinct57
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:12:41.644279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters756
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

Unique53 ?
Unique (%)84.1%

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
 
4.8%
055-573-1534 3
 
4.8%
055-817-7999 2
 
3.2%
055-573-1471 2
 
3.2%
055-573-6321 1
 
1.6%
055-572-1333 1
 
1.6%
055-574-4711 1
 
1.6%
055-570-2641 1
 
1.6%
055-573-9991 1
 
1.6%
055-573-9605 1
 
1.6%
Other values (47) 47
74.6%
2023-12-11T08:12:41.970533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 209
27.6%
- 126
16.7%
0 103
13.6%
7 82
 
10.8%
4 50
 
6.6%
3 46
 
6.1%
2 37
 
4.9%
1 34
 
4.5%
9 31
 
4.1%
6 22
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 630
83.3%
Dash Punctuation 126
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 209
33.2%
0 103
16.3%
7 82
 
13.0%
4 50
 
7.9%
3 46
 
7.3%
2 37
 
5.9%
1 34
 
5.4%
9 31
 
4.9%
6 22
 
3.5%
8 16
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 126
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 756
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 209
27.6%
- 126
16.7%
0 103
13.6%
7 82
 
10.8%
4 50
 
6.6%
3 46
 
6.1%
2 37
 
4.9%
1 34
 
4.5%
9 31
 
4.1%
6 22
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 756
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 209
27.6%
- 126
16.7%
0 103
13.6%
7 82
 
10.8%
4 50
 
6.6%
3 46
 
6.1%
2 37
 
4.9%
1 34
 
4.5%
9 31
 
4.1%
6 22
 
2.9%

폐기물
Text

Distinct43
Distinct (%)68.3%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:12:42.158842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length22
Mean length9.8095238
Min length3

Characters and Unicode

Total characters618
Distinct characters76
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 (%)54.0%

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 17
 
15.6%
그 10
 
9.2%
폐합성수지류 8
 
7.3%
폐콘크리트 6
 
5.5%
폐합성수지 4
 
3.7%
폐수처리오니 3
 
2.8%
분진+폐합성수지류 2
 
1.8%
폐기물 2
 
1.8%
폐목재 2
 
1.8%
폐합성수지류+그 2
 
1.8%
Other values (46) 53
48.6%
2023-12-11T08:12:42.464239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 73
 
11.8%
46
 
7.4%
수 39
 
6.3%
성 37
 
6.0%
+ 35
 
5.7%
지 30
 
4.9%
합 29
 
4.7%
재 24
 
3.9%
류 21
 
3.4%
그 19
 
3.1%
Other values (66) 265
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 529
85.6%
Space Separator 46
 
7.4%
Math Symbol 35
 
5.7%
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 73
 
13.8%
수 39
 
7.4%
성 37
 
7.0%
지 30
 
5.7%
합 29
 
5.5%
재 24
 
4.5%
류 21
 
4.0%
그 19
 
3.6%
밖 19
 
3.6%
의 19
 
3.6%
Other values (60) 219
41.4%
Space Separator
ValueCountFrequency (%)
46
100.0%
Math Symbol
ValueCountFrequency (%)
+ 35
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 529
85.6%
Common 89
 
14.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 73
 
13.8%
수 39
 
7.4%
성 37
 
7.0%
지 30
 
5.7%
합 29
 
5.5%
재 24
 
4.5%
류 21
 
4.0%
그 19
 
3.6%
밖 19
 
3.6%
의 19
 
3.6%
Other values (60) 219
41.4%
Common
ValueCountFrequency (%)
46
51.7%
+ 35
39.3%
( 3
 
3.4%
) 3
 
3.4%
2 1
 
1.1%
· 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 529
85.6%
ASCII 88
 
14.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 73
 
13.8%
수 39
 
7.4%
성 37
 
7.0%
지 30
 
5.7%
합 29
 
5.5%
재 24
 
4.5%
류 21
 
4.0%
그 19
 
3.6%
밖 19
 
3.6%
의 19
 
3.6%
Other values (60) 219
41.4%
ASCII
ValueCountFrequency (%)
46
52.3%
+ 35
39.8%
( 3
 
3.4%
) 3
 
3.4%
2 1
 
1.1%
None
ValueCountFrequency (%)
· 1
100.0%

배출량(톤_년)
Text

Distinct44
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size636.0 B
2023-12-11T08:12:42.662088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.8253968
Min length1

Characters and Unicode

Total characters178
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

Unique31 ?
Unique (%)49.2%

Sample

1st row2400
2nd row45
3rd row44
4th row100
5th row12000
ValueCountFrequency (%)
6 4
 
6.3%
36 3
 
4.8%
120 3
 
4.8%
2400 3
 
4.8%
60 3
 
4.8%
180 2
 
3.2%
12 2
 
3.2%
10 2
 
3.2%
492 2
 
3.2%
600 2
 
3.2%
Other values (34) 37
58.7%
2023-12-11T08:12:42.992951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 55
30.9%
1 26
14.6%
2 23
12.9%
4 18
 
10.1%
6 16
 
9.0%
3 9
 
5.1%
8 9
 
5.1%
5 9
 
5.1%
9 6
 
3.4%
7 5
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 176
98.9%
Other Punctuation 2
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 55
31.2%
1 26
14.8%
2 23
13.1%
4 18
 
10.2%
6 16
 
9.1%
3 9
 
5.1%
8 9
 
5.1%
5 9
 
5.1%
9 6
 
3.4%
7 5
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 178
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 55
30.9%
1 26
14.6%
2 23
12.9%
4 18
 
10.1%
6 16
 
9.0%
3 9
 
5.1%
8 9
 
5.1%
5 9
 
5.1%
9 6
 
3.4%
7 5
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 178
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 55
30.9%
1 26
14.6%
2 23
12.9%
4 18
 
10.1%
6 16
 
9.0%
3 9
 
5.1%
8 9
 
5.1%
5 9
 
5.1%
9 6
 
3.4%
7 5
 
2.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size636.0 B
Minimum2022-10-12 00:00:00
Maximum2022-10-12 00:00:00
2023-12-11T08:12:43.084392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:43.374829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:12:39.540052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:12:43.435522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지전화번호폐기물배출량(톤_년)
연번1.0000.8300.6250.8180.6780.571
업소명0.8301.0001.0000.9980.7320.978
소재지0.6251.0001.0000.9940.8920.984
전화번호0.8180.9980.9941.0000.9860.969
폐기물0.6780.7320.8920.9861.0000.935
배출량(톤_년)0.5710.9780.9840.9690.9351.000

Missing values

2023-12-11T08:12:39.685447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:39.790568image/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 연소잔재물24002022-10-12
12(주)신창제지경상남도 의령군 봉수면 대한로 1198055-572-9377폐수오니452022-10-12
23신성제지공업사경상남도 의령군 부림면 한지28길 17-8055-574-6012페수오니442022-10-12
34환경시설관리㈜ 부림폐수처리장경상남도 의령군 부림면 한지20길 39-44055-574-7472폐수처리오니1002022-10-12
45태림페이퍼㈜ 의령공장경상남도 의령군 의령읍 구룡로1길 39055-572-3020폐합성수지+폐합성섬유+사업장폐기물 소각시설(바닥재)+사업장폐기물소각시설(비산재)120002022-10-12
56대익이엔지㈜경상남도 의령군 의령읍 구룡로 242055-572-1600분 진2712022-10-12
67한국전력공사 의령지점경상남도 의령군 의령읍 의병로 181055-570-3233폐전주792022-10-12
78대상레미콘㈜경상남도 의령군 가례면 의병로 105-3055-573-9960폐콘크리트62022-10-12
89환경시설관리㈜경상남도 의령군 의령읍 의합대로 44-54055-573-0225하수처리오니+가축분뇨처리오니+공정오니24002022-10-12
910문화콘크리트경상남도 의령군 봉수면 한지18길 12-9055-574-8558폐콘크리트1202022-10-12
연번업소명소재지전화번호폐기물배출량(톤_년)데이터기준일
5354㈜에이치케이스마트콘경상남도 의령군 봉수면 직금로 296055-817-7999폐콘크리트4922022-10-12
5455㈜코리아컨스텍경상남도 의령군 봉수면 직금로 289055-817-7999폐콘크리트6002022-10-12
5556㈜인경상남도 의령군 부림면 익구리 439번지031-385-8300석재골재 폐수처리오니10,0002022-10-12
5657스톤즈개발㈜경상남도 의령군 낙서면 전화리 10번지031-691-4840석재골재 폐수처리오니1,5952022-10-12
5758보성자동차해체 재활용업경상남도 의령군 가례면 봉두리 17055-573-5300폐축전지+폐유242022-10-12
5859대영포장경상남도 의령군 의령읍 구룡로 160055-573-5691수성페인트102022-10-12
5960삼일경상남도 의령군 대의면 대의로 53-70055-573-1471그 밖의 광물류122022-10-12
6061산하건설㈜서울특별시 강남구 언주로174길 17,2층055-572-9294그 밖의 폐광물류62022-10-12
6162대동카센타경상남도 의령군 의령읍 의병로14길 28055-572-1333폐황산이 포함된 2차 폐축전지12022-10-12
6263장차건설㈜경상남도 의령군 낙서면 전호리 1313-13055-574-9517그 밖의 폐광물류122022-10-12