Overview

Dataset statistics

Number of variables7
Number of observations49
Missing cells21
Missing cells (%)6.1%
Duplicate rows1
Duplicate rows (%)2.0%
Total size in memory2.9 KiB
Average record size in memory59.7 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
Dataset has 1 (2.0%) duplicate rowsDuplicates
연번 has 3 (6.1%) missing valuesMissing
업소명 has 3 (6.1%) missing valuesMissing
소재지 has 3 (6.1%) missing valuesMissing
전화번호 has 3 (6.1%) missing valuesMissing
폐기물 has 3 (6.1%) missing valuesMissing
배출량(톤_년) has 3 (6.1%) missing valuesMissing
데이터기준일 has 3 (6.1%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:12:44.376194
Analysis finished2023-12-10 23:12:45.160970
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)100.0%
Missing3
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean23.5
Minimum1
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T08:12:45.239150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.25
Q112.25
median23.5
Q334.75
95-th percentile43.75
Maximum46
Range45
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.422618
Coefficient of variation (CV)0.57117522
Kurtosis-1.2
Mean23.5
Median Absolute Deviation (MAD)11.5
Skewness0
Sum1081
Variance180.16667
MonotonicityStrictly increasing
2023-12-11T08:12:45.360993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
36 1
 
2.0%
27 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (36) 36
73.5%
(Missing) 3
 
6.1%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%
39 1
2.0%
38 1
2.0%
37 1
2.0%

업소명
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing3
Missing (%)6.1%
Memory size524.0 B
2023-12-11T08:12:45.554802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length7.0869565
Min length2

Characters and Unicode

Total characters326
Distinct characters125
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row㈜피피이씨의령
2nd row(주)신창제지
3rd row환경시설관리㈜ 부림폐수처리장
4th row태림페이퍼㈜ 의령공장
5th row대익이엔지㈜
ValueCountFrequency (%)
동부환경 2
 
3.6%
의령공장 2
 
3.6%
환경시설관리㈜ 2
 
3.6%
주)케이와이엠텍 2
 
3.6%
주)수협사료 1
 
1.8%
㈜의령산업개발 1
 
1.8%
신반한지 1
 
1.8%
㈜풀무원기분 1
 
1.8%
㈜거양금속 1
 
1.8%
㈜대덕 1
 
1.8%
Other values (41) 41
74.5%
2023-12-11T08:12:45.922059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 28
 
8.6%
이 10
 
3.1%
) 9
 
2.8%
( 9
 
2.8%
9
 
2.8%
의 9
 
2.8%
령 9
 
2.8%
주 8
 
2.5%
리 8
 
2.5%
업 7
 
2.1%
Other values (115) 220
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
82.8%
Other Symbol 28
 
8.6%
Close Punctuation 9
 
2.8%
Open Punctuation 9
 
2.8%
Space Separator 9
 
2.8%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
3.7%
의 9
 
3.3%
령 9
 
3.3%
주 8
 
3.0%
리 8
 
3.0%
업 7
 
2.6%
산 7
 
2.6%
지 6
 
2.2%
경 6
 
2.2%
장 5
 
1.9%
Other values (110) 195
72.2%
Other Symbol
ValueCountFrequency (%)
㈜ 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 298
91.4%
Common 28
 
8.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 28
 
9.4%
이 10
 
3.4%
의 9
 
3.0%
령 9
 
3.0%
주 8
 
2.7%
리 8
 
2.7%
업 7
 
2.3%
산 7
 
2.3%
지 6
 
2.0%
경 6
 
2.0%
Other values (111) 200
67.1%
Common
ValueCountFrequency (%)
) 9
32.1%
( 9
32.1%
9
32.1%
2 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
82.8%
None 28
 
8.6%
ASCII 28
 
8.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 28
100.0%
Hangul
ValueCountFrequency (%)
이 10
 
3.7%
의 9
 
3.3%
령 9
 
3.3%
주 8
 
3.0%
리 8
 
3.0%
업 7
 
2.6%
산 7
 
2.6%
지 6
 
2.2%
경 6
 
2.2%
장 5
 
1.9%
Other values (110) 195
72.2%
ASCII
ValueCountFrequency (%)
) 9
32.1%
( 9
32.1%
9
32.1%
2 1
 
3.6%

소재지
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing3
Missing (%)6.1%
Memory size524.0 B
2023-12-11T08:12:46.129463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.456522
Min length19

Characters and Unicode

Total characters987
Distinct characters61
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

Unique42 ?
Unique (%)91.3%

Sample

1st row경상남도 의령군 부림면 한지20길 40-21
2nd row경상남도 의령군 봉수면 대한로 1198
3rd row경상남도 의령군 부림면 한지20길 39-44
4th row경상남도 의령군 의령읍 구룡로1길 39
5th row경상남도 의령군 의령읍 구룡로 242
ValueCountFrequency (%)
경상남도 46
19.8%
의령군 46
19.8%
의령읍 14
 
6.0%
봉수면 12
 
5.2%
부림면 6
 
2.6%
의합대로 6
 
2.6%
직금로 6
 
2.6%
한지18길 5
 
2.2%
한지20길 4
 
1.7%
함의로 3
 
1.3%
Other values (67) 84
36.2%
2023-12-11T08:12:46.484989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
19.4%
의 70
 
7.1%
령 60
 
6.1%
남 50
 
5.1%
상 47
 
4.8%
군 46
 
4.7%
경 46
 
4.7%
도 46
 
4.7%
1 34
 
3.4%
면 32
 
3.2%
Other values (51) 365
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
62.8%
Space Separator 191
 
19.4%
Decimal Number 164
 
16.6%
Dash Punctuation 12
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 70
 
11.3%
령 60
 
9.7%
남 50
 
8.1%
상 47
 
7.6%
군 46
 
7.4%
경 46
 
7.4%
도 46
 
7.4%
면 32
 
5.2%
로 31
 
5.0%
길 17
 
2.7%
Other values (39) 175
28.2%
Decimal Number
ValueCountFrequency (%)
1 34
20.7%
2 25
15.2%
4 19
11.6%
9 17
10.4%
8 17
10.4%
3 13
 
7.9%
0 12
 
7.3%
6 11
 
6.7%
5 9
 
5.5%
7 7
 
4.3%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
62.8%
Common 367
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 70
 
11.3%
령 60
 
9.7%
남 50
 
8.1%
상 47
 
7.6%
군 46
 
7.4%
경 46
 
7.4%
도 46
 
7.4%
면 32
 
5.2%
로 31
 
5.0%
길 17
 
2.7%
Other values (39) 175
28.2%
Common
ValueCountFrequency (%)
191
52.0%
1 34
 
9.3%
2 25
 
6.8%
4 19
 
5.2%
9 17
 
4.6%
8 17
 
4.6%
3 13
 
3.5%
- 12
 
3.3%
0 12
 
3.3%
6 11
 
3.0%
Other values (2) 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
62.8%
ASCII 367
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
52.0%
1 34
 
9.3%
2 25
 
6.8%
4 19
 
5.2%
9 17
 
4.6%
8 17
 
4.6%
3 13
 
3.5%
- 12
 
3.3%
0 12
 
3.3%
6 11
 
3.0%
Other values (2) 16
 
4.4%
Hangul
ValueCountFrequency (%)
의 70
 
11.3%
령 60
 
9.7%
남 50
 
8.1%
상 47
 
7.6%
군 46
 
7.4%
경 46
 
7.4%
도 46
 
7.4%
면 32
 
5.2%
로 31
 
5.0%
길 17
 
2.7%
Other values (39) 175
28.2%

전화번호
Text

MISSING 

Distinct43
Distinct (%)93.5%
Missing3
Missing (%)6.1%
Memory size524.0 B
2023-12-11T08:12:46.675849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique40 ?
Unique (%)87.0%

Sample

1st row055-574-4711
2nd row055-572-9377
3rd row055-574-7472
4th row055-572-3020
5th row055-572-1600
ValueCountFrequency (%)
055-572-2424 2
 
4.3%
055-573-1534 2
 
4.3%
055-817-7999 2
 
4.3%
031-691-4840 1
 
2.2%
055-570-7053 1
 
2.2%
055-574-7557 1
 
2.2%
055-574-6161 1
 
2.2%
055-920-0055 1
 
2.2%
055-573-0274 1
 
2.2%
055-574-0227 1
 
2.2%
Other values (33) 33
71.7%
2023-12-11T08:12:46.942024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 152
27.5%
- 92
16.7%
0 82
14.9%
7 63
11.4%
4 41
 
7.4%
3 29
 
5.3%
2 25
 
4.5%
1 21
 
3.8%
9 19
 
3.4%
8 16
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 152
33.0%
0 82
17.8%
7 63
13.7%
4 41
 
8.9%
3 29
 
6.3%
2 25
 
5.4%
1 21
 
4.6%
9 19
 
4.1%
8 16
 
3.5%
6 12
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 152
27.5%
- 92
16.7%
0 82
14.9%
7 63
11.4%
4 41
 
7.4%
3 29
 
5.3%
2 25
 
4.5%
1 21
 
3.8%
9 19
 
3.4%
8 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 152
27.5%
- 92
16.7%
0 82
14.9%
7 63
11.4%
4 41
 
7.4%
3 29
 
5.3%
2 25
 
4.5%
1 21
 
3.8%
9 19
 
3.4%
8 16
 
2.9%

폐기물
Text

MISSING 

Distinct33
Distinct (%)71.7%
Missing3
Missing (%)6.1%
Memory size524.0 B
2023-12-11T08:12:47.110167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length22
Mean length11.065217
Min length3

Characters and Unicode

Total characters509
Distinct characters69
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)60.9%

Sample

1st row폐합성수지류+비산재+바닥재
2nd row펄프제지폐수처리오니,사업장폐기물소각시설바닥재
3rd row폐수처리오니
4th row폐지+폐합성수지+폐섬유+폐활성탄+사업장폐기물 소각시설(바닥재)+폐토사+펄프제지폐수처리오니
5th row폐합성수지류+분 진
ValueCountFrequency (%)
밖의 7
 
10.3%
폐콘크리트 6
 
8.8%
폐합성수지류 6
 
8.8%
폐합성수지 3
 
4.4%
폐수처리오니 3
 
4.4%
그 3
 
4.4%
폐기물 3
 
4.4%
석재골재 2
 
2.9%
폐주물사+광재+분진+폐합성수지 2
 
2.9%
폐목재류 2
 
2.9%
Other values (31) 31
45.6%
2023-12-11T08:12:47.400673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 64
 
12.6%
+ 38
 
7.5%
수 35
 
6.9%
성 29
 
5.7%
지 27
 
5.3%
합 23
 
4.5%
22
 
4.3%
재 19
 
3.7%
리 17
 
3.3%
오 15
 
2.9%
Other values (59) 220
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 445
87.4%
Math Symbol 38
 
7.5%
Space Separator 22
 
4.3%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 64
 
14.4%
수 35
 
7.9%
성 29
 
6.5%
지 27
 
6.1%
합 23
 
5.2%
재 19
 
4.3%
리 17
 
3.8%
오 15
 
3.4%
니 15
 
3.4%
류 14
 
3.1%
Other values (53) 187
42.0%
Other Punctuation
ValueCountFrequency (%)
· 1
50.0%
, 1
50.0%
Math Symbol
ValueCountFrequency (%)
+ 38
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 445
87.4%
Common 64
 
12.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 64
 
14.4%
수 35
 
7.9%
성 29
 
6.5%
지 27
 
6.1%
합 23
 
5.2%
재 19
 
4.3%
리 17
 
3.8%
오 15
 
3.4%
니 15
 
3.4%
류 14
 
3.1%
Other values (53) 187
42.0%
Common
ValueCountFrequency (%)
+ 38
59.4%
22
34.4%
· 1
 
1.6%
, 1
 
1.6%
) 1
 
1.6%
( 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 445
87.4%
ASCII 63
 
12.4%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 64
 
14.4%
수 35
 
7.9%
성 29
 
6.5%
지 27
 
6.1%
합 23
 
5.2%
재 19
 
4.3%
리 17
 
3.8%
오 15
 
3.4%
니 15
 
3.4%
류 14
 
3.1%
Other values (53) 187
42.0%
ASCII
ValueCountFrequency (%)
+ 38
60.3%
22
34.9%
, 1
 
1.6%
) 1
 
1.6%
( 1
 
1.6%
None
ValueCountFrequency (%)
· 1
100.0%

배출량(톤_년)
Text

MISSING 

Distinct31
Distinct (%)67.4%
Missing3
Missing (%)6.1%
Memory size524.0 B
2023-12-11T08:12:47.524377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length2.326087
Min length1

Characters and Unicode

Total characters107
Distinct characters12
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

Unique27 ?
Unique (%)58.7%

Sample

1st row56
2nd row187
3rd row997
4th row11000
5th row105
ValueCountFrequency (%)
0 13
28.3%
300 2
 
4.3%
120 2
 
4.3%
67 2
 
4.3%
1000 1
 
2.2%
1,240 1
 
2.2%
112 1
 
2.2%
33 1
 
2.2%
4.8 1
 
2.2%
63 1
 
2.2%
Other values (21) 21
45.7%
2023-12-11T08:12:47.769818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 37
34.6%
1 13
 
12.1%
3 11
 
10.3%
2 11
 
10.3%
6 8
 
7.5%
9 7
 
6.5%
7 6
 
5.6%
8 5
 
4.7%
5 3
 
2.8%
4 3
 
2.8%
Other values (2) 3
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104
97.2%
Other Punctuation 3
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 37
35.6%
1 13
 
12.5%
3 11
 
10.6%
2 11
 
10.6%
6 8
 
7.7%
9 7
 
6.7%
7 6
 
5.8%
8 5
 
4.8%
5 3
 
2.9%
4 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 37
34.6%
1 13
 
12.1%
3 11
 
10.3%
2 11
 
10.3%
6 8
 
7.5%
9 7
 
6.5%
7 6
 
5.6%
8 5
 
4.7%
5 3
 
2.8%
4 3
 
2.8%
Other values (2) 3
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 37
34.6%
1 13
 
12.1%
3 11
 
10.3%
2 11
 
10.3%
6 8
 
7.5%
9 7
 
6.5%
7 6
 
5.6%
8 5
 
4.7%
5 3
 
2.8%
4 3
 
2.8%
Other values (2) 3
 
2.8%

데이터기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)2.2%
Missing3
Missing (%)6.1%
Memory size524.0 B
Minimum2023-09-14 00:00:00
Maximum2023-09-14 00:00:00
2023-12-11T08:12:47.864585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:12:47.938603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:12:44.761864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:12:47.998129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지전화번호폐기물배출량(톤_년)
연번1.0000.9460.8690.9160.7750.651
업소명0.9461.0001.0000.9860.9560.977
소재지0.8691.0001.0000.9850.9870.981
전화번호0.9160.9860.9851.0000.9960.963
폐기물0.7750.9560.9870.9961.0000.973
배출량(톤_년)0.6510.9770.9810.9630.9731.000

Missing values

2023-12-11T08:12:44.863979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:12:44.972736image/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.
2023-12-11T08:12:45.079881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업소명소재지전화번호폐기물배출량(톤_년)데이터기준일
01㈜피피이씨의령경상남도 의령군 부림면 한지20길 40-21055-574-4711폐합성수지류+비산재+바닥재562023-09-14
12(주)신창제지경상남도 의령군 봉수면 대한로 1198055-572-9377펄프제지폐수처리오니,사업장폐기물소각시설바닥재1872023-09-14
23환경시설관리㈜ 부림폐수처리장경상남도 의령군 부림면 한지20길 39-44055-574-7472폐수처리오니9972023-09-14
34태림페이퍼㈜ 의령공장경상남도 의령군 의령읍 구룡로1길 39055-572-3020폐지+폐합성수지+폐섬유+폐활성탄+사업장폐기물 소각시설(바닥재)+폐토사+펄프제지폐수처리오니110002023-09-14
45대익이엔지㈜경상남도 의령군 의령읍 구룡로 242055-572-1600폐합성수지류+분 진1052023-09-14
56한국전력공사 의령지점경상남도 의령군 의령읍 의병로 181055-570-3233폐전주3082023-09-14
67대상레미콘㈜경상남도 의령군 가례면 가례리 195-5055-573-9960폐콘크리트02023-09-14
78환경시설관리㈜경상남도 의령군 의령읍 의합대로 44-54055-573-0225하수처리오니+가축분뇨처리오니+공정오니+비산재9902023-09-14
89문화콘크리트경상남도 의령군 봉수면 한지18길 12-9055-574-8558폐콘크리트02023-09-14
910㈜코스글로버경상남도 의령군 의령읍 구룡로4남길 25055-570-8500공정오니+폐수오니92023-09-14
연번업소명소재지전화번호폐기물배출량(톤_년)데이터기준일
3940솔토 엔지니어링경상남도 의령군 봉수면 직금로 284055-574-3074폐합성수지류02023-09-14
4041수림산업경상남도 의령군 지정면 함의로 1581-12055-572-0230그 밖의 폐목재류332023-09-14
4142동부환경경상남도 의령군 유곡면 함의로 2236055-574-3447폐합성수지류 +그밖의 폐기물1122023-09-14
4243㈜에이치케이스마트콘경상남도 의령군 봉수면 직금로 296055-817-7999폐콘크리트02023-09-14
4344㈜코리아컨스텍경상남도 의령군 봉수면 직금로 289055-817-7999폐콘크리트02023-09-14
4445㈜인경상남도 의령군 부림면 익구리 439번지031-385-8300석재골재 폐수처리오니02023-09-14
4546스톤즈개발㈜경상남도 의령군 낙서면 전화리 10번지031-691-4840석재골재 폐수처리오니1,2402023-09-14
46<NA><NA><NA><NA><NA><NA><NA>
47<NA><NA><NA><NA><NA><NA><NA>
48<NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

연번업소명소재지전화번호폐기물배출량(톤_년)데이터기준일# duplicates
0<NA><NA><NA><NA><NA><NA><NA>3