Overview

Dataset statistics

Number of variables7
Number of observations61
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory60.2 B

Variable types

Numeric2
Text4
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 23:12:48.902217
Analysis finished2023-12-10 23:12:49.816960
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:12:49.880320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-11T08:12:50.005918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 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%
Other values (51) 51
83.6%
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 (%)
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%
53 1
1.6%
52 1
1.6%

업소명
Text

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:12:50.318203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.0491803
Min length2

Characters and Unicode

Total characters430
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

Unique55 ?
Unique (%)90.2%

Sample

1st row㈜피피이씨의령
2nd row(주)신창제지
3rd row신성제지공업사
4th row환경시설관리㈜ 부림폐수처리장
5th row태림페이퍼㈜ 의령공장
ValueCountFrequency (%)
삼일 2
 
2.7%
동부환경 2
 
2.7%
청호환경산업㈜ 2
 
2.7%
환경시설관리㈜ 2
 
2.7%
주)케이와이엠텍 2
 
2.7%
의령공장 2
 
2.7%
농업회사법인 1
 
1.4%
주)수협사료 1
 
1.4%
㈜인우 1
 
1.4%
㈜의령산업개발 1
 
1.4%
Other values (58) 58
78.4%
2023-12-11T08:12:50.730205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 29
 
6.7%
이 15
 
3.5%
산 13
 
3.0%
13
 
3.0%
업 12
 
2.8%
주 11
 
2.6%
( 11
 
2.6%
) 11
 
2.6%
령 10
 
2.3%
의 10
 
2.3%
Other values (139) 295
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
84.2%
Other Symbol 29
 
6.7%
Space Separator 13
 
3.0%
Open Punctuation 11
 
2.6%
Close Punctuation 11
 
2.6%
Decimal Number 2
 
0.5%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 15
 
4.1%
산 13
 
3.6%
업 12
 
3.3%
주 11
 
3.0%
령 10
 
2.8%
의 10
 
2.8%
지 10
 
2.8%
경 9
 
2.5%
장 8
 
2.2%
사 7
 
1.9%
Other values (132) 257
71.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 29
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 391
90.9%
Common 37
 
8.6%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 29
 
7.4%
이 15
 
3.8%
산 13
 
3.3%
업 12
 
3.1%
주 11
 
2.8%
령 10
 
2.6%
의 10
 
2.6%
지 10
 
2.6%
경 9
 
2.3%
장 8
 
2.0%
Other values (133) 264
67.5%
Common
ValueCountFrequency (%)
13
35.1%
( 11
29.7%
) 11
29.7%
2 2
 
5.4%
Latin
ValueCountFrequency (%)
S 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
84.2%
ASCII 39
 
9.1%
None 29
 
6.7%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 29
100.0%
Hangul
ValueCountFrequency (%)
이 15
 
4.1%
산 13
 
3.6%
업 12
 
3.3%
주 11
 
3.0%
령 10
 
2.8%
의 10
 
2.8%
지 10
 
2.8%
경 9
 
2.5%
장 8
 
2.2%
사 7
 
1.9%
Other values (132) 257
71.0%
ASCII
ValueCountFrequency (%)
13
33.3%
( 11
28.2%
) 11
28.2%
2 2
 
5.1%
S 1
 
2.6%
J 1
 
2.6%

소재지
Text

Distinct55
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:12:51.013810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.770492
Min length19

Characters and Unicode

Total characters1328
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

Unique49 ?
Unique (%)80.3%

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 60
19.5%
경상남도 59
19.2%
의령읍 19
 
6.2%
봉수면 12
 
3.9%
의합대로 8
 
2.6%
부림면 7
 
2.3%
한지18길 6
 
2.0%
한지20길 5
 
1.6%
직금로 5
 
1.6%
함의로 4
 
1.3%
Other values (87) 122
39.7%
2023-12-11T08:12:51.457426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
260
19.6%
의 99
 
7.5%
령 79
 
5.9%
남 66
 
5.0%
경 61
 
4.6%
상 61
 
4.6%
도 60
 
4.5%
군 60
 
4.5%
1 52
 
3.9%
로 44
 
3.3%
Other values (61) 486
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 820
61.7%
Space Separator 260
 
19.6%
Decimal Number 227
 
17.1%
Dash Punctuation 20
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 99
12.1%
령 79
 
9.6%
남 66
 
8.0%
경 61
 
7.4%
상 61
 
7.4%
도 60
 
7.3%
군 60
 
7.3%
로 44
 
5.4%
면 41
 
5.0%
길 26
 
3.2%
Other values (48) 223
27.2%
Decimal Number
ValueCountFrequency (%)
1 52
22.9%
2 32
14.1%
4 23
10.1%
8 23
10.1%
0 19
 
8.4%
3 19
 
8.4%
7 17
 
7.5%
9 16
 
7.0%
6 14
 
6.2%
5 12
 
5.3%
Space Separator
ValueCountFrequency (%)
260
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 820
61.7%
Common 508
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 99
12.1%
령 79
 
9.6%
남 66
 
8.0%
경 61
 
7.4%
상 61
 
7.4%
도 60
 
7.3%
군 60
 
7.3%
로 44
 
5.4%
면 41
 
5.0%
길 26
 
3.2%
Other values (48) 223
27.2%
Common
ValueCountFrequency (%)
260
51.2%
1 52
 
10.2%
2 32
 
6.3%
4 23
 
4.5%
8 23
 
4.5%
- 20
 
3.9%
0 19
 
3.7%
3 19
 
3.7%
7 17
 
3.3%
9 16
 
3.1%
Other values (3) 27
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 820
61.7%
ASCII 508
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
260
51.2%
1 52
 
10.2%
2 32
 
6.3%
4 23
 
4.5%
8 23
 
4.5%
- 20
 
3.9%
0 19
 
3.7%
3 19
 
3.7%
7 17
 
3.3%
9 16
 
3.1%
Other values (3) 27
 
5.3%
Hangul
ValueCountFrequency (%)
의 99
12.1%
령 79
 
9.6%
남 66
 
8.0%
경 61
 
7.4%
상 61
 
7.4%
도 60
 
7.3%
군 60
 
7.3%
로 44
 
5.4%
면 41
 
5.0%
길 26
 
3.2%
Other values (48) 223
27.2%

전화번호
Text

Distinct55
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:12:51.719371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters732
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

Unique51 ?
Unique (%)83.6%

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
 
4.9%
055-573-1534 3
 
4.9%
055-573-1471 2
 
3.3%
055-574-8756 2
 
3.3%
055-572-5599 1
 
1.6%
055-574-4711 1
 
1.6%
055-573-6321 1
 
1.6%
055-572-6901 1
 
1.6%
055-573-9991 1
 
1.6%
055-573-9605 1
 
1.6%
Other values (45) 45
73.8%
2023-12-11T08:12:52.143189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 210
28.7%
- 122
16.7%
0 98
13.4%
7 82
 
11.2%
4 49
 
6.7%
3 42
 
5.7%
2 37
 
5.1%
1 30
 
4.1%
9 27
 
3.7%
6 22
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 610
83.3%
Dash Punctuation 122
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 210
34.4%
0 98
16.1%
7 82
 
13.4%
4 49
 
8.0%
3 42
 
6.9%
2 37
 
6.1%
1 30
 
4.9%
9 27
 
4.4%
6 22
 
3.6%
8 13
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 732
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 210
28.7%
- 122
16.7%
0 98
13.4%
7 82
 
11.2%
4 49
 
6.7%
3 42
 
5.7%
2 37
 
5.1%
1 30
 
4.1%
9 27
 
3.7%
6 22
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 732
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 210
28.7%
- 122
16.7%
0 98
13.4%
7 82
 
11.2%
4 49
 
6.7%
3 42
 
5.7%
2 37
 
5.1%
1 30
 
4.1%
9 27
 
3.7%
6 22
 
3.0%

폐기물
Text

Distinct43
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-11T08:12:52.351679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length22
Mean length10.016393
Min length3

Characters and Unicode

Total characters611
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

Unique35 ?
Unique (%)57.4%

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 18
 
16.5%
그 10
 
9.2%
폐합성수지류 8
 
7.3%
폐콘크리트 5
 
4.6%
폐합성수지 4
 
3.7%
분진 3
 
2.8%
폐목재 2
 
1.8%
분진+폐합성수지류 2
 
1.8%
폐기물 2
 
1.8%
폐합성수지류+그 2
 
1.8%
Other values (48) 53
48.6%
2023-12-11T08:12:52.678148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 70
 
11.5%
48
 
7.9%
성 37
 
6.1%
수 37
 
6.1%
+ 36
 
5.9%
지 30
 
4.9%
합 29
 
4.7%
류 21
 
3.4%
재 21
 
3.4%
그 20
 
3.3%
Other values (69) 262
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 519
84.9%
Space Separator 48
 
7.9%
Math Symbol 36
 
5.9%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 70
 
13.5%
성 37
 
7.1%
수 37
 
7.1%
지 30
 
5.8%
합 29
 
5.6%
류 21
 
4.0%
재 21
 
4.0%
그 20
 
3.9%
밖 20
 
3.9%
의 20
 
3.9%
Other values (63) 214
41.2%
Space Separator
ValueCountFrequency (%)
48
100.0%
Math Symbol
ValueCountFrequency (%)
+ 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 519
84.9%
Common 92
 
15.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 70
 
13.5%
성 37
 
7.1%
수 37
 
7.1%
지 30
 
5.8%
합 29
 
5.6%
류 21
 
4.0%
재 21
 
4.0%
그 20
 
3.9%
밖 20
 
3.9%
의 20
 
3.9%
Other values (63) 214
41.2%
Common
ValueCountFrequency (%)
48
52.2%
+ 36
39.1%
) 3
 
3.3%
( 3
 
3.3%
2 1
 
1.1%
· 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 519
84.9%
ASCII 91
 
14.9%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 70
 
13.5%
성 37
 
7.1%
수 37
 
7.1%
지 30
 
5.8%
합 29
 
5.6%
류 21
 
4.0%
재 21
 
4.0%
그 20
 
3.9%
밖 20
 
3.9%
의 20
 
3.9%
Other values (63) 214
41.2%
ASCII
ValueCountFrequency (%)
48
52.7%
+ 36
39.6%
) 3
 
3.3%
( 3
 
3.3%
2 1
 
1.1%
None
ValueCountFrequency (%)
· 1
100.0%

배출량(톤-년)
Real number (ℝ)

Distinct43
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1525.9508
Minimum1
Maximum48000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-11T08:12:52.844169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q136
median120
Q3492
95-th percentile5340
Maximum48000
Range47999
Interquartile range (IQR)456

Descriptive statistics

Standard deviation6326.3522
Coefficient of variation (CV)4.1458428
Kurtosis50.63592
Mean1525.9508
Median Absolute Deviation (MAD)110
Skewness6.9111322
Sum93083
Variance40022733
MonotonicityNot monotonic
2023-12-11T08:12:53.280871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
6 4
 
6.6%
2400 3
 
4.9%
60 3
 
4.9%
36 3
 
4.9%
120 3
 
4.9%
12 2
 
3.3%
10 2
 
3.3%
180 2
 
3.3%
492 2
 
3.3%
48 2
 
3.3%
Other values (33) 35
57.4%
ValueCountFrequency (%)
1 1
 
1.6%
6 4
6.6%
10 2
3.3%
12 2
3.3%
22 1
 
1.6%
24 1
 
1.6%
27 1
 
1.6%
29 1
 
1.6%
36 3
4.9%
44 1
 
1.6%
ValueCountFrequency (%)
48000 1
 
1.6%
12000 1
 
1.6%
6150 1
 
1.6%
5340 1
 
1.6%
2400 3
4.9%
1800 1
 
1.6%
1300 1
 
1.6%
1200 2
3.3%
1140 1
 
1.6%
600 1
 
1.6%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum2021-10-12 00:00:00
Maximum2021-10-12 00:00:00
2023-12-11T08:12:53.405207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:53.518513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:12:49.456990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:49.317808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:49.528471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:49.390471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:12:53.592966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지전화번호폐기물배출량(톤-년)
연번1.0000.9380.8300.7640.7400.000
업소명0.9381.0001.0000.9970.8301.000
소재지0.8301.0001.0000.9980.7890.767
전화번호0.7640.9970.9981.0000.9581.000
폐기물0.7400.8300.7890.9581.0001.000
배출량(톤-년)0.0001.0000.7671.0001.0001.000
2023-12-11T08:12:53.711223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배출량(톤-년)
연번1.000-0.212
배출량(톤-년)-0.2121.000

Missing values

2023-12-11T08:12:49.653254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:49.779118image/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 연소잔재물24002021-10-12
12(주)신창제지경상남도 의령군 봉수면 대한로 1198055-572-9377폐수오니452021-10-12
23신성제지공업사경상남도 의령군 부림면 한지28길 17-8055-574-6012페수오니442021-10-12
34환경시설관리㈜ 부림폐수처리장경상남도 의령군 부림면 한지20길 39-44055-574-7472폐수처리오니1002021-10-12
45태림페이퍼㈜ 의령공장경상남도 의령군 의령읍 구룡로1길 39055-572-3020폐합성수지+폐합성섬유+사업장폐기물 소각시설(바닥재)+사업장폐기물소각시설(비산재)120002021-10-12
56대익이엔지㈜경상남도 의령군 의령읍 구룡로 242055-572-1600분 진2712021-10-12
67한국전력공사 의령지점경상남도 의령군 의령읍 의병로 181055-570-3233폐전주792021-10-12
78대상레미콘㈜경상남도 의령군 가례면 의병로 105-3055-573-9960폐콘크리트62021-10-12
89환경시설관리㈜경상남도 의령군 의령읍 의합대로 44-54055-573-0225하수처리오니+가축분뇨처리오니+공정오니24002021-10-12
910문화콘크리트경상남도 의령군 봉수면 한지18길 12-9055-574-8558폐콘크리트1202021-10-12
연번업소명소재지전화번호폐기물배출량(톤-년)데이터기준일
5152수림산업경상남도 의령군 지정면 함의로 1581-12055-572-0230그 밖의 폐목재류1502021-10-12
5253동부환경경상남도 의령군 유곡면 함의로 2236055-574-3447폐합성수지류 +그밖의 폐기물18002021-10-12
5354㈜성진이엔지경상남도 의령군 지정면 함의로 2길 152055-572-1160폐합성수지류+그 밖의 폐목재+그밖의 광재류1682021-10-12
5455㈜에이치케이스마트콘경상남도 의령군 봉수면 직금로 296055-817-7999폐콘크리트4922021-10-12
5556보성자동차해체 재활용업경상남도 의령군 가례면 봉두리 17055-573-5300폐축전지+폐유242021-10-12
5657대영포장경상남도 의령군 의령읍 구룡로 160055-573-5691수성페인트102021-10-12
5758삼일경상남도 의령군 대의면 대의로 53-70055-573-1471그 밖의 광물류122021-10-12
5859산하건설㈜서울특별시 강남구 언주로174길 17,2층055-572-9294그 밖의 폐광물류62021-10-12
5960대동카센타경상남도 의령군 의령읍 의병로14길 28055-572-1333폐황산이 포함된 2차 폐축전지12021-10-12
6061장차건설㈜경상남도 의령군 낙서면 전호리 1313-13055-574-9517그 밖의 폐광물류122021-10-12