Overview

Dataset statistics

Number of variables8
Number of observations21
Missing cells5
Missing cells (%)3.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory71.1 B

Variable types

Text4
Categorical3
Numeric1

Dataset

Description경상남도 의령군에 소재한 폐기물처리업체 정보를 제공하는 데이터 입니다. 사업장 상호와 업종, 허가연도, 사업장 전화번호, 사업장 분류 정보를 제공합니다.
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15099443

Alerts

데이터기준일 has constant value ""Constant
허가연도 is highly overall correlated with 업종 and 1 other fieldsHigh correlation
업종 is highly overall correlated with 허가연도 and 1 other fieldsHigh correlation
분류 is highly overall correlated with 허가연도 and 1 other fieldsHigh correlation
전화번호 has 5 (23.8%) missing valuesMissing

Reproduction

Analysis started2024-04-20 13:56:43.779117
Analysis finished2024-04-20 13:56:45.213728
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장 상호
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-20T22:56:45.735700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.6190476
Min length3

Characters and Unicode

Total characters118
Distinct characters57
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)76.2%

Sample

1st row㈜청도산업
2nd row㈜화림테크
3rd row천호금속㈜의령공장
4th row일진산업
5th row미래에코
ValueCountFrequency (%)
청호환경산업㈜ 3
 
14.3%
동부환경 2
 
9.5%
㈜청도산업 1
 
4.8%
㈜화림테크 1
 
4.8%
문경운수 1
 
4.8%
㈜수경유조 1
 
4.8%
㈜영남환경 1
 
4.8%
㈜탑리사이클링 1
 
4.8%
토산실업㈜ 1
 
4.8%
㈜열방 1
 
4.8%
Other values (8) 8
38.1%
2024-04-20T22:56:47.076175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 14
 
11.9%
경 8
 
6.8%
산 8
 
6.8%
업 7
 
5.9%
환 6
 
5.1%
청 4
 
3.4%
호 4
 
3.4%
수 3
 
2.5%
림 3
 
2.5%
부 3
 
2.5%
Other values (47) 58
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 103
87.3%
Other Symbol 14
 
11.9%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 8
 
7.8%
산 8
 
7.8%
업 7
 
6.8%
환 6
 
5.8%
청 4
 
3.9%
호 4
 
3.9%
수 3
 
2.9%
림 3
 
2.9%
부 3
 
2.9%
화 2
 
1.9%
Other values (45) 55
53.4%
Other Symbol
ValueCountFrequency (%)
㈜ 14
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117
99.2%
Common 1
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 14
 
12.0%
경 8
 
6.8%
산 8
 
6.8%
업 7
 
6.0%
환 6
 
5.1%
청 4
 
3.4%
호 4
 
3.4%
수 3
 
2.6%
림 3
 
2.6%
부 3
 
2.6%
Other values (46) 57
48.7%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 103
87.3%
None 14
 
11.9%
ASCII 1
 
0.8%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 14
100.0%
Hangul
ValueCountFrequency (%)
경 8
 
7.8%
산 8
 
7.8%
업 7
 
6.8%
환 6
 
5.8%
청 4
 
3.9%
호 4
 
3.9%
수 3
 
2.9%
림 3
 
2.9%
부 3
 
2.9%
화 2
 
1.9%
Other values (45) 55
53.4%
ASCII
ValueCountFrequency (%)
1
100.0%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Memory size296.0 B
폐기물처리업
13 
폐기물수집운반업
6 
건설폐기물중간재활용업
2 

Length

Max length11
Median length6
Mean length7.047619
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐기물처리업 13
61.9%
폐기물수집운반업 6
28.6%
건설폐기물중간재활용업 2
 
9.5%

Length

2024-04-20T22:56:47.524900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:56:47.899835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물처리업 13
61.9%
폐기물수집운반업 6
28.6%
건설폐기물중간재활용업 2
 
9.5%

영업대상폐기물
Text

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-20T22:56:48.616239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length20
Mean length15.238095
Min length5

Characters and Unicode

Total characters320
Distinct characters62
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

Unique12 ?
Unique (%)57.1%

Sample

1st row폐합성수지류, 폐합성고무류,폐폴리염화비닐수지류,폐목재류 등
2nd row알루미늄제조공정광재
3rd row그 밖의 폐합성고분자화합물
4th row폐합성수지류, 그 밖의 분진
5th row폐합성수지
ValueCountFrequency (%)
폐합성수지류 6
14.6%
밖의 4
 
9.8%
그 4
 
9.8%
사업장배출시설계,수집운반업(폐식용유 3
 
7.3%
등 3
 
7.3%
식물성잔재물 2
 
4.9%
건설폐기물 2
 
4.9%
사업장폐기물,수집운반업 2
 
4.9%
폐목재류,폐섬유류 1
 
2.4%
폐발포합성수지 1
 
2.4%
Other values (13) 13
31.7%
2024-04-20T22:56:49.789807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 31
 
9.7%
21
 
6.6%
, 20
 
6.2%
류 18
 
5.6%
수 18
 
5.6%
성 15
 
4.7%
지 14
 
4.4%
합 14
 
4.4%
업 12
 
3.8%
물 10
 
3.1%
Other values (52) 147
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
85.3%
Space Separator 21
 
6.6%
Other Punctuation 20
 
6.2%
Open Punctuation 3
 
0.9%
Close Punctuation 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 31
 
11.4%
류 18
 
6.6%
수 18
 
6.6%
성 15
 
5.5%
지 14
 
5.1%
합 14
 
5.1%
업 12
 
4.4%
물 10
 
3.7%
반 6
 
2.2%
재 6
 
2.2%
Other values (48) 129
47.3%
Space Separator
ValueCountFrequency (%)
21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 273
85.3%
Common 47
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 31
 
11.4%
류 18
 
6.6%
수 18
 
6.6%
성 15
 
5.5%
지 14
 
5.1%
합 14
 
5.1%
업 12
 
4.4%
물 10
 
3.7%
반 6
 
2.2%
재 6
 
2.2%
Other values (48) 129
47.3%
Common
ValueCountFrequency (%)
21
44.7%
, 20
42.6%
( 3
 
6.4%
) 3
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
85.3%
ASCII 47
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 31
 
11.4%
류 18
 
6.6%
수 18
 
6.6%
성 15
 
5.5%
지 14
 
5.1%
합 14
 
5.1%
업 12
 
4.4%
물 10
 
3.7%
반 6
 
2.2%
재 6
 
2.2%
Other values (48) 129
47.3%
ASCII
ValueCountFrequency (%)
21
44.7%
, 20
42.6%
( 3
 
6.4%
) 3
 
6.4%

허가연도
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.2857
Minimum2007
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size317.0 B
2024-04-20T22:56:50.094871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2007
Q12012
median2013
Q32017
95-th percentile2022
Maximum2022
Range15
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1969377
Coefficient of variation (CV)0.0020835861
Kurtosis-0.28531452
Mean2014.2857
Median Absolute Deviation (MAD)2
Skewness0.30765348
Sum42300
Variance17.614286
MonotonicityNot monotonic
2024-04-20T22:56:50.296303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2012 5
23.8%
2013 5
23.8%
2007 2
 
9.5%
2016 2
 
9.5%
2022 2
 
9.5%
2018 1
 
4.8%
2020 1
 
4.8%
2011 1
 
4.8%
2017 1
 
4.8%
2019 1
 
4.8%
ValueCountFrequency (%)
2007 2
 
9.5%
2011 1
 
4.8%
2012 5
23.8%
2013 5
23.8%
2016 2
 
9.5%
2017 1
 
4.8%
2018 1
 
4.8%
2019 1
 
4.8%
2020 1
 
4.8%
2022 2
 
9.5%
ValueCountFrequency (%)
2022 2
 
9.5%
2020 1
 
4.8%
2019 1
 
4.8%
2018 1
 
4.8%
2017 1
 
4.8%
2016 2
 
9.5%
2013 5
23.8%
2012 5
23.8%
2011 1
 
4.8%
2007 2
 
9.5%

소재지 도로명주소
Text

Distinct18
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size296.0 B
2024-04-20T22:56:50.936776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.857143
Min length16

Characters and Unicode

Total characters417
Distinct characters43
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)71.4%

Sample

1st row경남 의령군 정곡면 법정로 563
2nd row경남 의령군 정곡면 의합대로 986
3rd row경남 의령군 봉수면 직금로 298
4th row경남 의령군 부림면 의합대로 2012-6
5th row경남 의령군 부림면 신번로 41-16
ValueCountFrequency (%)
경남 21
20.4%
의령군 20
19.4%
의합대로 6
 
5.8%
용덕면 5
 
4.9%
정곡면 4
 
3.9%
유곡면 3
 
2.9%
함의로 3
 
2.9%
부림면 3
 
2.9%
의령읍 3
 
2.9%
법정로7길 2
 
1.9%
Other values (28) 33
32.0%
2024-04-20T22:56:51.842954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
19.7%
의 33
 
7.9%
령 24
 
5.8%
남 22
 
5.3%
경 21
 
5.0%
군 21
 
5.0%
1 20
 
4.8%
로 19
 
4.6%
면 18
 
4.3%
2 18
 
4.3%
Other values (33) 139
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
58.0%
Decimal Number 83
 
19.9%
Space Separator 82
 
19.7%
Dash Punctuation 10
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 33
13.6%
령 24
 
9.9%
남 22
 
9.1%
경 21
 
8.7%
군 21
 
8.7%
로 19
 
7.9%
면 18
 
7.4%
정 10
 
4.1%
덕 7
 
2.9%
용 7
 
2.9%
Other values (21) 60
24.8%
Decimal Number
ValueCountFrequency (%)
1 20
24.1%
2 18
21.7%
7 10
12.0%
6 9
10.8%
9 6
 
7.2%
3 6
 
7.2%
8 5
 
6.0%
5 4
 
4.8%
0 3
 
3.6%
4 2
 
2.4%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
58.0%
Common 175
42.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 33
13.6%
령 24
 
9.9%
남 22
 
9.1%
경 21
 
8.7%
군 21
 
8.7%
로 19
 
7.9%
면 18
 
7.4%
정 10
 
4.1%
덕 7
 
2.9%
용 7
 
2.9%
Other values (21) 60
24.8%
Common
ValueCountFrequency (%)
82
46.9%
1 20
 
11.4%
2 18
 
10.3%
- 10
 
5.7%
7 10
 
5.7%
6 9
 
5.1%
9 6
 
3.4%
3 6
 
3.4%
8 5
 
2.9%
5 4
 
2.3%
Other values (2) 5
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
58.0%
ASCII 175
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
46.9%
1 20
 
11.4%
2 18
 
10.3%
- 10
 
5.7%
7 10
 
5.7%
6 9
 
5.1%
9 6
 
3.4%
3 6
 
3.4%
8 5
 
2.9%
5 4
 
2.3%
Other values (2) 5
 
2.9%
Hangul
ValueCountFrequency (%)
의 33
13.6%
령 24
 
9.9%
남 22
 
9.1%
경 21
 
8.7%
군 21
 
8.7%
로 19
 
7.9%
면 18
 
7.4%
정 10
 
4.1%
덕 7
 
2.9%
용 7
 
2.9%
Other values (21) 60
24.8%

전화번호
Text

MISSING 

Distinct14
Distinct (%)87.5%
Missing5
Missing (%)23.8%
Memory size296.0 B
2024-04-20T22:56:52.380627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters192
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

Unique13 ?
Unique (%)81.2%

Sample

1st row055-574-9990
2nd row055-574-8756
3rd row055-574-5500
4th row055-573-0991
5th row055-572-3020
ValueCountFrequency (%)
055-572-2424 3
18.8%
055-574-9990 1
 
6.2%
055-574-8756 1
 
6.2%
055-574-5500 1
 
6.2%
055-573-0991 1
 
6.2%
055-572-3020 1
 
6.2%
055-572-0230 1
 
6.2%
055-573-5507 1
 
6.2%
055-573-9711 1
 
6.2%
055-574-3447 1
 
6.2%
Other values (4) 4
25.0%
2024-04-20T22:56:53.112335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 53
27.6%
- 32
16.7%
0 28
14.6%
7 21
 
10.9%
4 17
 
8.9%
2 14
 
7.3%
3 9
 
4.7%
9 8
 
4.2%
1 5
 
2.6%
8 3
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
83.3%
Dash Punctuation 32
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 53
33.1%
0 28
17.5%
7 21
 
13.1%
4 17
 
10.6%
2 14
 
8.8%
3 9
 
5.6%
9 8
 
5.0%
1 5
 
3.1%
8 3
 
1.9%
6 2
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 192
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 53
27.6%
- 32
16.7%
0 28
14.6%
7 21
 
10.9%
4 17
 
8.9%
2 14
 
7.3%
3 9
 
4.7%
9 8
 
4.2%
1 5
 
2.6%
8 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 192
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 53
27.6%
- 32
16.7%
0 28
14.6%
7 21
 
10.9%
4 17
 
8.9%
2 14
 
7.3%
3 9
 
4.7%
9 8
 
4.2%
1 5
 
2.6%
8 3
 
1.6%

분류
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size296.0 B
폐기물종합재활용업
8 
폐기물중간재활용업
4 
사업장배출시설계수집운반업
3 
건설폐기물중간재활용업
2 
사업장배출시설계수집운반
2 
Other values (2)
2 

Length

Max length13
Median length9
Mean length10.285714
Min length9

Unique

Unique2 ?
Unique (%)9.5%

Sample

1st row폐기물중간재활용업
2nd row폐기물종합재활용업
3rd row폐기물 종합재활용업
4th row폐기물종합재활용업
5th row폐기물종합재활용업

Common Values

ValueCountFrequency (%)
폐기물종합재활용업 8
38.1%
폐기물중간재활용업 4
19.0%
사업장배출시설계수집운반업 3
 
14.3%
건설폐기물중간재활용업 2
 
9.5%
사업장배출시설계수집운반 2
 
9.5%
폐기물 종합재활용업 1
 
4.8%
사업장생활계폐기물수집운반 1
 
4.8%

Length

2024-04-20T22:56:53.368533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:56:53.641734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물종합재활용업 8
36.4%
폐기물중간재활용업 4
18.2%
사업장배출시설계수집운반업 3
 
13.6%
건설폐기물중간재활용업 2
 
9.1%
사업장배출시설계수집운반 2
 
9.1%
폐기물 1
 
4.5%
종합재활용업 1
 
4.5%
사업장생활계폐기물수집운반 1
 
4.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size296.0 B
2023-03-12
21 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-12
2nd row2023-03-12
3rd row2023-03-12
4th row2023-03-12
5th row2023-03-12

Common Values

ValueCountFrequency (%)
2023-03-12 21
100.0%

Length

2024-04-20T22:56:54.090887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T22:56:54.335718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-12 21
100.0%

Interactions

2024-04-20T22:56:44.238181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-20T22:56:54.531988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업장 상호업종영업대상폐기물허가연도소재지 도로명주소전화번호분류
사업장 상호1.0000.0000.7940.3940.9951.0000.000
업종0.0001.0001.0000.7670.0000.0001.000
영업대상폐기물0.7941.0001.0000.0000.9450.8450.946
허가연도0.3940.7670.0001.0000.0000.5690.928
소재지 도로명주소0.9950.0000.9450.0001.0000.9870.000
전화번호1.0000.0000.8450.5690.9871.0000.000
분류0.0001.0000.9460.9280.0000.0001.000
2024-04-20T22:56:54.814482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
분류업종
분류1.0000.882
업종0.8821.000
2024-04-20T22:56:55.047228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허가연도업종분류
허가연도1.0000.5520.536
업종0.5521.0000.882
분류0.5360.8821.000

Missing values

2024-04-20T22:56:44.593969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-20T22:56:45.006480image/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

사업장 상호업종영업대상폐기물허가연도소재지 도로명주소전화번호분류데이터기준일
0㈜청도산업폐기물처리업폐합성수지류, 폐합성고무류,폐폴리염화비닐수지류,폐목재류 등2007경남 의령군 정곡면 법정로 563055-574-9990폐기물중간재활용업2023-03-12
1㈜화림테크폐기물처리업알루미늄제조공정광재2012경남 의령군 정곡면 의합대로 986055-574-8756폐기물종합재활용업2023-03-12
2천호금속㈜의령공장폐기물처리업그 밖의 폐합성고분자화합물2012경남 의령군 봉수면 직금로 298055-574-5500폐기물 종합재활용업2023-03-12
3일진산업폐기물처리업폐합성수지류, 그 밖의 분진2012경남 의령군 부림면 의합대로 2012-6<NA>폐기물종합재활용업2023-03-12
4미래에코폐기물처리업폐합성수지2012경남 의령군 부림면 신번로 41-16<NA>폐기물종합재활용업2023-03-12
5부산사료㈜폐기물처리업그 밖의 식물성잔재물2012경남 의령군 의령읍 구룡로4남길 65055-573-0991폐기물종합재활용업2023-03-12
6태림페이퍼㈜의령공장폐기물처리업폐합성수지류, 폐합성고무류, 폐폴리염화비닐수지류, 폐목재류,폐섬유류, 폐지류 등2013경남 의령군 의령읍 구룡로1길 39055-572-3020폐기물종합재활용업2023-03-12
7수림산업폐기물처리업폐받침목2013경남 의령군지정면 함의로 1581-12055-572-0230폐기물종합재활용업2023-03-12
8우성비료영농조합법인폐기물처리업그 밖의 식물성잔재물2013경남 의령군 용덕면 용덕1길 25055-573-5507폐기물종합재활용업2023-03-12
9㈜열방폐기물처리업폐합성수지류,폐폴리염화비닐수지류2013경남 의령군 유곡면 의합대로 1893-10055-573-9711폐기물종합재활용업2023-03-12
사업장 상호업종영업대상폐기물허가연도소재지 도로명주소전화번호분류데이터기준일
11청호환경산업㈜폐기물처리업폐합성수지류, 폐합성고무류,폐목재류, 폐벽지 등2018경남 의령군 용덕면 의합대로 277-12055-572-2424폐기물중간재활용업2023-03-12
12동부환경폐기물처리업폐합성수지류, 폐발포합성수지2020경남 의령군 유곡면 함의로 2236055-574-3447폐기물중간재활용업2023-03-12
13청호환경산업㈜건설폐기물중간재활용업건설폐기물2016경남 의령군 용덕면 의합대로 277-11055-572-2424건설폐기물중간재활용업2023-03-12
14㈜탑리사이클링건설폐기물중간재활용업건설폐기물2011경남 의령군 용덕면 용덕1길 26055-574-0808건설폐기물중간재활용업2023-03-12
15㈜영남환경폐기물수집운반업사업장폐기물,수집운반업2007경남 의령군 의령읍 벽화로 261055-573-1640사업장배출시설계수집운반업2023-03-12
16동부환경폐기물수집운반업사업장폐기물,수집운반업2013경남 의령군 유곡면 함의로 2236055-574-3449사업장배출시설계수집운반업2023-03-12
17㈜수경유조폐기물수집운반업사업장배출시설계,수집운반업(폐식용유)2017경남 의령군 정곡면 법정로7길 91-7055-573-1792사업장배출시설계수집운반업2023-03-12
18청호환경산업㈜폐기물수집운반업사업장생활계폐기물,수집운반업2019경남 의령군 용덕면 의합대로 277-11055-572-2424사업장생활계폐기물수집운반2023-03-12
19문경운수폐기물수집운반업사업장배출시설계,수집운반업(폐식용유)2022경남 의령군 정곡면 법정로7길 91-7<NA>사업장배출시설계수집운반2023-03-12
20㈜화정폐기물수집운반업사업장배출시설계,수집운반업(폐식용유)2022경남 의령군 화정면 화정로10<NA>사업장배출시설계수집운반2023-03-12