Overview

Dataset statistics

Number of variables8
Number of observations199
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory65.7 B

Variable types

Categorical3
Text3
Numeric1
DateTime1

Dataset

Description경상남도 사천시의 사업장 폐기물 배출자 신고현황(폐기물구분, 사업장명, 폐기물종류, 처리방법, 도로명주소, 신고기준 년도 등) 자료임.
Author경상남도 사천시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15080994

Alerts

폐기물구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
폐기물 종류 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 폐기물 종류High correlation
사업자등록번호 has 2 (1.0%) missing valuesMissing
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:05:53.066425
Analysis finished2023-12-10 23:05:53.763112
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

폐기물구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
사업장일반폐기물
199 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장일반폐기물 199
100.0%

Length

2023-12-11T08:05:53.814157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:05:53.899426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장일반폐기물 199
100.0%

상호
Text

UNIQUE 

Distinct199
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T08:05:54.095636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length8.3668342
Min length2

Characters and Unicode

Total characters1665
Distinct characters246
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)100.0%

Sample

1st row동주
2nd row(주)나라판넬사천
3rd row광동산업
4th row풍융 주식회사
5th row하나자원
ValueCountFrequency (%)
주식회사 13
 
5.6%
사천시 8
 
3.4%
공공하수처리시설 5
 
2.1%
주)율곡 2
 
0.9%
유한책임회사 2
 
0.9%
동주 1
 
0.4%
삼천포수산업협동조합 1
 
0.4%
에스앤케이항공(주 1
 
0.4%
주)삼화 1
 
0.4%
한국앰코스페셜티카톤즈(유 1
 
0.4%
Other values (199) 199
85.0%
2023-12-11T08:05:54.417883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 118
 
7.1%
( 111
 
6.7%
) 111
 
6.7%
산 60
 
3.6%
사 59
 
3.5%
공 46
 
2.8%
수 40
 
2.4%
천 37
 
2.2%
35
 
2.1%
업 32
 
1.9%
Other values (236) 1016
61.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1387
83.3%
Open Punctuation 112
 
6.7%
Close Punctuation 112
 
6.7%
Space Separator 35
 
2.1%
Uppercase Letter 14
 
0.8%
Decimal Number 3
 
0.2%
Other Punctuation 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 118
 
8.5%
산 60
 
4.3%
사 59
 
4.3%
공 46
 
3.3%
수 40
 
2.9%
천 37
 
2.7%
업 32
 
2.3%
이 32
 
2.3%
식 31
 
2.2%
리 30
 
2.2%
Other values (214) 902
65.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
14.3%
G 2
14.3%
M 1
7.1%
T 1
7.1%
E 1
7.1%
Y 1
7.1%
P 1
7.1%
R 1
7.1%
F 1
7.1%
S 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
1 1
33.3%
2 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 111
99.1%
[ 1
 
0.9%
Close Punctuation
ValueCountFrequency (%)
) 111
99.1%
] 1
 
0.9%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1387
83.3%
Common 264
 
15.9%
Latin 14
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 118
 
8.5%
산 60
 
4.3%
사 59
 
4.3%
공 46
 
3.3%
수 40
 
2.9%
천 37
 
2.7%
업 32
 
2.3%
이 32
 
2.3%
식 31
 
2.2%
리 30
 
2.2%
Other values (214) 902
65.0%
Latin
ValueCountFrequency (%)
N 2
14.3%
G 2
14.3%
M 1
7.1%
T 1
7.1%
E 1
7.1%
Y 1
7.1%
P 1
7.1%
R 1
7.1%
F 1
7.1%
S 1
7.1%
Other values (2) 2
14.3%
Common
ValueCountFrequency (%)
( 111
42.0%
) 111
42.0%
35
 
13.3%
& 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%
_ 1
 
0.4%
2 1
 
0.4%
] 1
 
0.4%
[ 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1387
83.3%
ASCII 278
 
16.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 118
 
8.5%
산 60
 
4.3%
사 59
 
4.3%
공 46
 
3.3%
수 40
 
2.9%
천 37
 
2.7%
업 32
 
2.3%
이 32
 
2.3%
식 31
 
2.2%
리 30
 
2.2%
Other values (214) 902
65.0%
ASCII
ValueCountFrequency (%)
( 111
39.9%
) 111
39.9%
35
 
12.6%
N 2
 
0.7%
G 2
 
0.7%
M 1
 
0.4%
T 1
 
0.4%
& 1
 
0.4%
3 1
 
0.4%
1 1
 
0.4%
Other values (12) 12
 
4.3%

폐기물 종류
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
폐합성수지류(폐염화비닐수지류는 제외한다)
40 
수산물가공잔재물
37 
폐패각
18 
그 밖의 폐목재류
14 
그 밖의 분진
9 
Other values (37)
81 

Length

Max length88
Median length50
Mean length12.005025
Min length3

Unique

Unique17 ?
Unique (%)8.5%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row그 밖의 폐섬유
3rd row그 밖의 폐기물
4th row폐합성수지류(폐염화비닐수지류는 제외한다)
5th row폐합성수지류(폐염화비닐수지류는 제외한다)

Common Values

ValueCountFrequency (%)
폐합성수지류(폐염화비닐수지류는 제외한다) 40
20.1%
수산물가공잔재물 37
18.6%
폐패각 18
 
9.0%
그 밖의 폐목재류 14
 
7.0%
그 밖의 분진 9
 
4.5%
그 밖의 폐수처리오니 7
 
3.5%
하수처리오니 5
 
2.5%
폐활성탄 5
 
2.5%
그 밖의 폐섬유 4
 
2.0%
폐콘크리트 4
 
2.0%
Other values (32) 56
28.1%

Length

2023-12-11T08:05:54.534430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
그 52
 
12.2%
밖의 52
 
12.2%
폐합성수지류(폐염화비닐수지류는 40
 
9.4%
제외한다 40
 
9.4%
수산물가공잔재물 37
 
8.7%
폐패각 18
 
4.2%
폐목재류 15
 
3.5%
폐수처리오니 10
 
2.3%
분진 9
 
2.1%
말한다 6
 
1.4%
Other values (84) 148
34.7%

사업자등록번호
Text

MISSING 

Distinct186
Distinct (%)94.4%
Missing2
Missing (%)1.0%
Memory size1.7 KiB
2023-12-11T08:05:54.741282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2364
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

Unique182 ?
Unique (%)92.4%

Sample

1st row455-10-01829
2nd row545-87-01288
3rd row277-09-01465
4th row157-87-02095
5th row613-81-42974
ValueCountFrequency (%)
110-82-30127 8
 
4.1%
613-81-69798 3
 
1.5%
609-81-40093 2
 
1.0%
110-81-42397 2
 
1.0%
416-81-40171 1
 
0.5%
297-82-00143 1
 
0.5%
455-10-01829 1
 
0.5%
619-81-02140 1
 
0.5%
613-81-33591 1
 
0.5%
612-81-22733 1
 
0.5%
Other values (176) 176
89.3%
2023-12-11T08:05:55.065328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 394
16.7%
1 386
16.3%
0 255
10.8%
8 247
10.4%
6 226
9.6%
3 194
8.2%
9 168
7.1%
2 159
6.7%
7 122
 
5.2%
4 109
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1970
83.3%
Dash Punctuation 394
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 386
19.6%
0 255
12.9%
8 247
12.5%
6 226
11.5%
3 194
9.8%
9 168
8.5%
2 159
8.1%
7 122
 
6.2%
4 109
 
5.5%
5 104
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 394
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 394
16.7%
1 386
16.3%
0 255
10.8%
8 247
10.4%
6 226
9.6%
3 194
8.2%
9 168
7.1%
2 159
6.7%
7 122
 
5.2%
4 109
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 394
16.7%
1 386
16.3%
0 255
10.8%
8 247
10.4%
6 226
9.6%
3 194
8.2%
9 168
7.1%
2 159
6.7%
7 122
 
5.2%
4 109
 
4.6%

처리방법
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
재활용(중간가공폐기물 제조)
50 
재활용(원료 제조)
49 
재활용(직접 제품제조)
26 
매립(민간관리형매립시설)
13 
재활용(연료·고형연료제품 제조)
13 
Other values (13)
48 

Length

Max length19
Median length17
Mean length12.442211
Min length1

Unique

Unique4 ?
Unique (%)2.0%

Sample

1st row재활용(중간가공폐기물 제조)
2nd row재활용(원료 제조)
3rd row매립(민간관리형매립시설)
4th row재활용(중간가공폐기물 제조)
5th row재활용(중간가공폐기물 제조)

Common Values

ValueCountFrequency (%)
재활용(중간가공폐기물 제조) 50
25.1%
재활용(원료 제조) 49
24.6%
재활용(직접 제품제조) 26
13.1%
매립(민간관리형매립시설) 13
 
6.5%
재활용(연료·고형연료제품 제조) 13
 
6.5%
중간처분(파쇄.분쇄) 10
 
5.0%
중간처분(일반소각) 8
 
4.0%
재활용(토질개선에 사용) 8
 
4.0%
매립(관리형매립시설) 6
 
3.0%
재활용(농업생산활동에 사용) 4
 
2.0%
Other values (8) 12
 
6.0%

Length

2023-12-11T08:05:55.192810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 112
31.5%
재활용(중간가공폐기물 50
14.1%
재활용(원료 49
13.8%
재활용(직접 28
 
7.9%
제품제조 26
 
7.3%
사용 14
 
3.9%
매립(민간관리형매립시설 13
 
3.7%
재활용(연료·고형연료제품 13
 
3.7%
중간처분(파쇄.분쇄 10
 
2.8%
중간처분(일반소각 8
 
2.3%
Other values (12) 32
 
9.0%

사업장도로명주소
Text

Distinct192
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-11T08:05:55.513184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length22.929648
Min length1

Characters and Unicode

Total characters4563
Distinct characters170
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique187 ?
Unique (%)94.0%

Sample

1st row경상남도 사천시 축동면 서삼로 1315_ 연창블럭 나동
2nd row경상남도 사천시 정동면 노천길 40-24
3rd row경상남도 사천시 축동면 오리동길 41-27
4th row
5th row경상남도 사천시 향촌5길 38-98 (향촌동)
ValueCountFrequency (%)
경상남도 196
19.5%
사천시 196
19.5%
사남면 46
 
4.6%
송포동 25
 
2.5%
축동면 25
 
2.5%
서삼로 17
 
1.7%
대방동 16
 
1.6%
곤양면 14
 
1.4%
향촌동 13
 
1.3%
공단1로 13
 
1.3%
Other values (295) 444
44.2%
2023-12-11T08:05:55.994076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
812
17.8%
사 272
 
6.0%
남 248
 
5.4%
천 218
 
4.8%
경 210
 
4.6%
도 201
 
4.4%
상 199
 
4.4%
시 199
 
4.4%
1 158
 
3.5%
동 120
 
2.6%
Other values (160) 1926
42.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2799
61.3%
Space Separator 812
 
17.8%
Decimal Number 681
 
14.9%
Close Punctuation 92
 
2.0%
Open Punctuation 92
 
2.0%
Dash Punctuation 72
 
1.6%
Connector Punctuation 13
 
0.3%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 272
 
9.7%
남 248
 
8.9%
천 218
 
7.8%
경 210
 
7.5%
도 201
 
7.2%
상 199
 
7.1%
시 199
 
7.1%
동 120
 
4.3%
면 108
 
3.9%
로 99
 
3.5%
Other values (143) 925
33.0%
Decimal Number
ValueCountFrequency (%)
1 158
23.2%
2 97
14.2%
4 70
10.3%
5 68
10.0%
3 62
 
9.1%
6 57
 
8.4%
7 50
 
7.3%
0 47
 
6.9%
8 40
 
5.9%
9 32
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
812
100.0%
Close Punctuation
ValueCountFrequency (%)
) 92
100.0%
Open Punctuation
ValueCountFrequency (%)
( 92
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2799
61.3%
Common 1762
38.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 272
 
9.7%
남 248
 
8.9%
천 218
 
7.8%
경 210
 
7.5%
도 201
 
7.2%
상 199
 
7.1%
시 199
 
7.1%
동 120
 
4.3%
면 108
 
3.9%
로 99
 
3.5%
Other values (143) 925
33.0%
Common
ValueCountFrequency (%)
812
46.1%
1 158
 
9.0%
2 97
 
5.5%
) 92
 
5.2%
( 92
 
5.2%
- 72
 
4.1%
4 70
 
4.0%
5 68
 
3.9%
3 62
 
3.5%
6 57
 
3.2%
Other values (5) 182
 
10.3%
Latin
ValueCountFrequency (%)
K 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2799
61.3%
ASCII 1764
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
812
46.0%
1 158
 
9.0%
2 97
 
5.5%
) 92
 
5.2%
( 92
 
5.2%
- 72
 
4.1%
4 70
 
4.0%
5 68
 
3.9%
3 62
 
3.5%
6 57
 
3.2%
Other values (7) 184
 
10.4%
Hangul
ValueCountFrequency (%)
사 272
 
9.7%
남 248
 
8.9%
천 218
 
7.8%
경 210
 
7.5%
도 201
 
7.2%
상 199
 
7.1%
시 199
 
7.1%
동 120
 
4.3%
면 108
 
3.9%
로 99
 
3.5%
Other values (143) 925
33.0%

신고기준년도
Real number (ℝ)

Distinct27
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.0151
Minimum1996
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.9 KiB
2023-12-11T08:05:56.108941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1996
5-th percentile1996
Q12004
median2012
Q32019
95-th percentile2022
Maximum2023
Range27
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.7198122
Coefficient of variation (CV)0.0043360253
Kurtosis-1.1227684
Mean2011.0151
Median Absolute Deviation (MAD)7
Skewness-0.3532851
Sum400192
Variance76.035125
MonotonicityDecreasing
2023-12-11T08:05:56.265256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
2022 22
 
11.1%
1996 18
 
9.0%
2021 12
 
6.0%
2011 12
 
6.0%
2012 11
 
5.5%
2020 9
 
4.5%
2008 8
 
4.0%
2019 8
 
4.0%
2015 8
 
4.0%
1997 8
 
4.0%
Other values (17) 83
41.7%
ValueCountFrequency (%)
1996 18
9.0%
1997 8
4.0%
1999 3
 
1.5%
2000 6
 
3.0%
2001 6
 
3.0%
2002 5
 
2.5%
2003 2
 
1.0%
2004 3
 
1.5%
2005 2
 
1.0%
2006 4
 
2.0%
ValueCountFrequency (%)
2023 4
 
2.0%
2022 22
11.1%
2021 12
6.0%
2020 9
4.5%
2019 8
 
4.0%
2018 7
 
3.5%
2017 7
 
3.5%
2016 5
 
2.5%
2015 8
 
4.0%
2014 4
 
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
Minimum2023-06-01 00:00:00
Maximum2023-06-01 00:00:00
2023-12-11T08:05:56.380989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:05:56.454357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:05:53.411319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:05:56.511119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물 종류처리방법신고기준년도
폐기물 종류1.0000.9700.713
처리방법0.9701.0000.430
신고기준년도0.7130.4301.000
2023-12-11T08:05:56.585651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법폐기물 종류
처리방법1.0000.658
폐기물 종류0.6581.000
2023-12-11T08:05:56.663457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고기준년도폐기물 종류처리방법
신고기준년도1.0000.3070.186
폐기물 종류0.3071.0000.658
처리방법0.1860.6581.000

Missing values

2023-12-11T08:05:53.535815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:05:53.714946image/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

폐기물구분상호폐기물 종류사업자등록번호처리방법사업장도로명주소신고기준년도데이터기준일자
0사업장일반폐기물동주폐합성수지류(폐염화비닐수지류는 제외한다)455-10-01829재활용(중간가공폐기물 제조)경상남도 사천시 축동면 서삼로 1315_ 연창블럭 나동20232023-06-01
1사업장일반폐기물(주)나라판넬사천그 밖의 폐섬유545-87-01288재활용(원료 제조)경상남도 사천시 정동면 노천길 40-2420232023-06-01
2사업장일반폐기물광동산업그 밖의 폐기물277-09-01465매립(민간관리형매립시설)경상남도 사천시 축동면 오리동길 41-2720232023-06-01
3사업장일반폐기물풍융 주식회사폐합성수지류(폐염화비닐수지류는 제외한다)157-87-02095재활용(중간가공폐기물 제조)20232023-06-01
4사업장일반폐기물하나자원폐합성수지류(폐염화비닐수지류는 제외한다)<NA>재활용(중간가공폐기물 제조)경상남도 사천시 향촌5길 38-98 (향촌동)20222023-06-01
5사업장일반폐기물(주)프로솔그 밖의 공정오니613-81-42974매립(민간관리형매립시설)경상남도 사천시 곤양면 검정2길 101-1220222023-06-01
6사업장일반폐기물지에이치메탈(주)그 밖의 폐기물613-81-62378매립(민간관리형매립시설)경상남도 사천시 사남면 사천대로 1673-2920222023-06-01
7사업장일반폐기물(주)율곡 사천종포2공장폐수처리오니609-81-40093매립(민간관리형매립시설)경상남도 사천시 용현면 종포산단1길 3320222023-06-01
8사업장일반폐기물스카니아코리아그룹 주식회사폐합성수지류(폐염화비닐수지류는 제외한다)261-81-05313재활용(중간가공폐기물 제조)경상남도 사천시 사남면 외국기업로 15020222023-06-01
9사업장일반폐기물지사천바이오 주식회사그 밖의 폐목재류554-86-00888재활용(연료·고형연료제품 제조)경상남도 사천시 곤양면 서삼로 74720222023-06-01
폐기물구분상호폐기물 종류사업자등록번호처리방법사업장도로명주소신고기준년도데이터기준일자
189사업장일반폐기물유창콘크리트(주)폐벽돌619-81-01291재활용(원료 제조)경상남도 사천시 축동면 서삼로 101519962023-06-01
190사업장일반폐기물서강유업(주)음식물류폐기물619-81-00540재활용(농업생산활동에 사용)경상남도 사천시 사남면 공단2로 2019962023-06-01
191사업장일반폐기물두원중공업(주)폐합성수지류(폐염화비닐수지류는 제외한다)619-81-02801중간처분(일반소각)경상남도 사천시 축동면 구해창길 20-719962023-06-01
192사업장일반폐기물성일산업수산물가공잔재물696-20-00847재활용(원료 제조)경상남도 사천시 쌍뫼들길 37 (향촌동)19962023-06-01
193사업장일반폐기물대경씨푸드수산물가공잔재물613-20-66354재활용(원료 제조)19962023-06-01
194사업장일반폐기물중앙식품수산물가공잔재물619-15-60427재활용(원료 제조)경상남도 사천시 거북등길 48-10 (송포동)19962023-06-01
195사업장일반폐기물(주)대덕수산수산물가공잔재물777-81-00701재활용(원료 제조)경상남도 사천시 거북등길 65 (송포동)19962023-06-01
196사업장일반폐기물대창물산수산물가공잔재물619-16-61004재활용(원료 제조)경상남도 사천시 대방길 60-46 (대방동)19962023-06-01
197사업장일반폐기물남해산업수산물가공잔재물613-18-57911재활용(원료 제조)경상남도 사천시 대방길 60-51 (대방동)19962023-06-01
198사업장일반폐기물(주)남부식품수산물가공잔재물619-81-01011재활용(원료 제조)경상남도 사천시 남일로 370 (사등동)19962023-06-01