Overview

Dataset statistics

Number of variables8
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory69.2 B

Variable types

Numeric2
Categorical2
Text4

Dataset

Description산청군 사업장폐기물배출자 정보(신고기준연도, 폐기물종류, 업체명, 폐기물상세, 처리방법, 소재지)에 대한 공공데이터 자료입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15060234

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 폐기물종류High correlation
폐기물종류 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
상호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:04:41.459845
Analysis finished2023-12-10 23:04:42.878518
Duration1.42 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T08:04:42.960576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-11T08:04:43.104745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

신고기준년도
Real number (ℝ)

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.0244
Minimum1997
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-11T08:04:43.224659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2004
Q12008
median2012
Q32017
95-th percentile2020
Maximum2021
Range24
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.6854543
Coefficient of variation (CV)0.0028257382
Kurtosis-0.25017121
Mean2012.0244
Median Absolute Deviation (MAD)4
Skewness-0.37205376
Sum82493
Variance32.32439
MonotonicityNot monotonic
2023-12-11T08:04:43.333245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2013 5
12.2%
2009 4
 
9.8%
2019 3
 
7.3%
2011 3
 
7.3%
2004 3
 
7.3%
2008 3
 
7.3%
2020 3
 
7.3%
2016 3
 
7.3%
2012 2
 
4.9%
2018 2
 
4.9%
Other values (8) 10
24.4%
ValueCountFrequency (%)
1997 1
 
2.4%
2002 1
 
2.4%
2004 3
7.3%
2006 1
 
2.4%
2007 2
4.9%
2008 3
7.3%
2009 4
9.8%
2010 1
 
2.4%
2011 3
7.3%
2012 2
4.9%
ValueCountFrequency (%)
2021 1
 
2.4%
2020 3
7.3%
2019 3
7.3%
2018 2
 
4.9%
2017 2
 
4.9%
2016 3
7.3%
2014 1
 
2.4%
2013 5
12.2%
2012 2
 
4.9%
2011 3
7.3%

폐기물종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
사업장배출시설계폐기물
34 
사업장생활계폐기물
7 

Length

Max length11
Median length11
Mean length10.658537
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장배출시설계폐기물 34
82.9%
사업장생활계폐기물 7
 
17.1%

Length

2023-12-11T08:04:43.459453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:43.571318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장배출시설계폐기물 34
82.9%
사업장생활계폐기물 7
 
17.1%

폐기물 상세
Text

Distinct30
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:04:43.819771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length33
Mean length12.97561
Min length3

Characters and Unicode

Total characters532
Distinct characters98
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

Unique25 ?
Unique (%)61.0%

Sample

1st row폐수처리오니
2nd row폐콘크리트
3rd row정수처리오니
4th row석재*골재폐수처리오니
5th row폐벽돌, 폐기와
ValueCountFrequency (%)
폐합성수지류 10
 
10.6%
그 7
 
7.4%
밖의 7
 
7.4%
폐수처리오니 6
 
6.4%
폐합성고무류 4
 
4.3%
폐콘크리트 4
 
4.3%
폐아스팔트콘크리트 3
 
3.2%
폐합성수지 3
 
3.2%
건설폐토석 2
 
2.1%
폐목재 2
 
2.1%
Other values (38) 46
48.9%
2023-12-11T08:04:44.192153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 61
 
11.5%
53
 
10.0%
수 29
 
5.5%
, 26
 
4.9%
성 24
 
4.5%
합 22
 
4.1%
류 22
 
4.1%
리 20
 
3.8%
지 18
 
3.4%
오 14
 
2.6%
Other values (88) 243
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 446
83.8%
Space Separator 53
 
10.0%
Other Punctuation 27
 
5.1%
Open Punctuation 3
 
0.6%
Close Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 61
 
13.7%
수 29
 
6.5%
성 24
 
5.4%
합 22
 
4.9%
류 22
 
4.9%
리 20
 
4.5%
지 18
 
4.0%
오 14
 
3.1%
니 14
 
3.1%
처 13
 
2.9%
Other values (83) 209
46.9%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
* 1
 
3.7%
Space Separator
ValueCountFrequency (%)
53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 446
83.8%
Common 86
 
16.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 61
 
13.7%
수 29
 
6.5%
성 24
 
5.4%
합 22
 
4.9%
류 22
 
4.9%
리 20
 
4.5%
지 18
 
4.0%
오 14
 
3.1%
니 14
 
3.1%
처 13
 
2.9%
Other values (83) 209
46.9%
Common
ValueCountFrequency (%)
53
61.6%
, 26
30.2%
( 3
 
3.5%
) 3
 
3.5%
* 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 446
83.8%
ASCII 86
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 61
 
13.7%
수 29
 
6.5%
성 24
 
5.4%
합 22
 
4.9%
류 22
 
4.9%
리 20
 
4.5%
지 18
 
4.0%
오 14
 
3.1%
니 14
 
3.1%
처 13
 
2.9%
Other values (83) 209
46.9%
ASCII
ValueCountFrequency (%)
53
61.6%
, 26
30.2%
( 3
 
3.5%
) 3
 
3.5%
* 1
 
1.2%

처리방법
Text

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:04:44.393823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length34
Mean length21.317073
Min length7

Characters and Unicode

Total characters874
Distinct characters58
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)46.3%

Sample

1st row중간처분(일반소각)
2nd row중간처분(파쇄.분쇄)
3rd row재활용(중간가공폐기물 제조, 성토재복토재 등으로 사용)
4th row재활용(성토재복토재 등으로 사용)
5th row재활용(직접제품 제조)
ValueCountFrequency (%)
제조 25
21.0%
재활용(중간가공폐기물 13
10.9%
사용 12
 
10.1%
매립(민간관리형 7
 
5.9%
매립시설 7
 
5.9%
중간처분(파쇄.분쇄 7
 
5.9%
중간처분(일반소각 6
 
5.0%
등으로 5
 
4.2%
재활용(토질개선에 4
 
3.4%
중간가공폐기물 3
 
2.5%
Other values (21) 30
25.2%
2023-12-11T08:04:44.735116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
79
 
9.0%
) 53
 
6.1%
( 53
 
6.1%
용 44
 
5.0%
재 42
 
4.8%
간 38
 
4.3%
제 38
 
4.3%
활 33
 
3.8%
조 30
 
3.4%
중 29
 
3.3%
Other values (48) 435
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 649
74.3%
Space Separator 79
 
9.0%
Close Punctuation 53
 
6.1%
Open Punctuation 53
 
6.1%
Other Punctuation 40
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 44
 
6.8%
재 42
 
6.5%
간 38
 
5.9%
제 38
 
5.9%
활 33
 
5.1%
조 30
 
4.6%
중 29
 
4.5%
분 20
 
3.1%
기 18
 
2.8%
매 18
 
2.8%
Other values (42) 339
52.2%
Other Punctuation
ValueCountFrequency (%)
, 27
67.5%
. 7
 
17.5%
· 6
 
15.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Close Punctuation
ValueCountFrequency (%)
) 53
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 649
74.3%
Common 225
 
25.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 44
 
6.8%
재 42
 
6.5%
간 38
 
5.9%
제 38
 
5.9%
활 33
 
5.1%
조 30
 
4.6%
중 29
 
4.5%
분 20
 
3.1%
기 18
 
2.8%
매 18
 
2.8%
Other values (42) 339
52.2%
Common
ValueCountFrequency (%)
79
35.1%
) 53
23.6%
( 53
23.6%
, 27
 
12.0%
. 7
 
3.1%
· 6
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 649
74.3%
ASCII 219
 
25.1%
None 6
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
79
36.1%
) 53
24.2%
( 53
24.2%
, 27
 
12.3%
. 7
 
3.2%
Hangul
ValueCountFrequency (%)
용 44
 
6.8%
재 42
 
6.5%
간 38
 
5.9%
제 38
 
5.9%
활 33
 
5.1%
조 30
 
4.6%
중 29
 
4.5%
분 20
 
3.1%
기 18
 
2.8%
매 18
 
2.8%
Other values (42) 339
52.2%
None
ValueCountFrequency (%)
· 6
100.0%

상호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:04:45.007523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length9.3170732
Min length5

Characters and Unicode

Total characters382
Distinct characters117
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row서천건설(주)
2nd row플러스콘(주)
3rd row산청군청(상하수도사업소)
4th row(주)무창
5th row(주)산청토기와
ValueCountFrequency (%)
산청군 4
 
7.8%
산청지점 2
 
3.9%
가축분뇨공공처리시설 2
 
3.9%
서천건설(주 1
 
2.0%
주)율곡산청공장 1
 
2.0%
혜성도기 1
 
2.0%
분뇨처리시설 1
 
2.0%
주)홍성 1
 
2.0%
주)동영환경 1
 
2.0%
합)동명식품 1
 
2.0%
Other values (36) 36
70.6%
2023-12-11T08:04:45.411193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 31
 
8.1%
) 31
 
8.1%
주 27
 
7.1%
산 23
 
6.0%
청 22
 
5.8%
공 12
 
3.1%
10
 
2.6%
군 9
 
2.4%
지 7
 
1.8%
리 7
 
1.8%
Other values (107) 203
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
80.9%
Open Punctuation 31
 
8.1%
Close Punctuation 31
 
8.1%
Space Separator 10
 
2.6%
Other Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
8.7%
산 23
 
7.4%
청 22
 
7.1%
공 12
 
3.9%
군 9
 
2.9%
지 7
 
2.3%
리 7
 
2.3%
시 7
 
2.3%
설 7
 
2.3%
처 6
 
1.9%
Other values (103) 182
58.9%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 310
81.2%
Common 72
 
18.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
8.7%
산 23
 
7.4%
청 22
 
7.1%
공 12
 
3.9%
군 9
 
2.9%
지 7
 
2.3%
리 7
 
2.3%
시 7
 
2.3%
설 7
 
2.3%
처 6
 
1.9%
Other values (104) 183
59.0%
Common
ValueCountFrequency (%)
( 31
43.1%
) 31
43.1%
10
 
13.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
80.9%
ASCII 72
 
18.8%
None 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 31
43.1%
) 31
43.1%
10
 
13.9%
Hangul
ValueCountFrequency (%)
주 27
 
8.7%
산 23
 
7.4%
청 22
 
7.1%
공 12
 
3.9%
군 9
 
2.9%
지 7
 
2.3%
리 7
 
2.3%
시 7
 
2.3%
설 7
 
2.3%
처 6
 
1.9%
Other values (103) 182
58.9%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-11T08:04:45.701826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23.634146
Min length19

Characters and Unicode

Total characters969
Distinct characters62
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

Unique37 ?
Unique (%)90.2%

Sample

1st row경상남도 산청군 금서면 지막리 40-3
2nd row경상남도 산청군 금서면 친환경로 2483-9
3rd row경상남도 산청군 산청읍 산엔청로 1
4th row경상남도 산청군 신등면 상능로504번길 36-13
5th row경상남도 산청군 산청읍 산수로 404-150
ValueCountFrequency (%)
경상남도 41
20.0%
산청군 41
20.0%
산청읍 12
 
5.9%
금서면 10
 
4.9%
친환경로 7
 
3.4%
지리산대로 7
 
3.4%
신안면 6
 
2.9%
생비량면 6
 
2.9%
산수로 4
 
2.0%
신등면 3
 
1.5%
Other values (60) 68
33.2%
2023-12-11T08:04:46.136951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
17.1%
산 73
 
7.5%
청 57
 
5.9%
경 49
 
5.1%
상 43
 
4.4%
남 42
 
4.3%
도 41
 
4.2%
군 41
 
4.2%
로 40
 
4.1%
1 37
 
3.8%
Other values (52) 380
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
60.7%
Decimal Number 194
 
20.0%
Space Separator 166
 
17.1%
Dash Punctuation 21
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 73
12.4%
청 57
 
9.7%
경 49
 
8.3%
상 43
 
7.3%
남 42
 
7.1%
도 41
 
7.0%
군 41
 
7.0%
로 40
 
6.8%
면 29
 
4.9%
읍 12
 
2.0%
Other values (40) 161
27.4%
Decimal Number
ValueCountFrequency (%)
1 37
19.1%
3 31
16.0%
4 28
14.4%
2 27
13.9%
6 21
10.8%
0 13
 
6.7%
5 12
 
6.2%
9 12
 
6.2%
8 7
 
3.6%
7 6
 
3.1%
Space Separator
ValueCountFrequency (%)
166
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
60.7%
Common 381
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 73
12.4%
청 57
 
9.7%
경 49
 
8.3%
상 43
 
7.3%
남 42
 
7.1%
도 41
 
7.0%
군 41
 
7.0%
로 40
 
6.8%
면 29
 
4.9%
읍 12
 
2.0%
Other values (40) 161
27.4%
Common
ValueCountFrequency (%)
166
43.6%
1 37
 
9.7%
3 31
 
8.1%
4 28
 
7.3%
2 27
 
7.1%
6 21
 
5.5%
- 21
 
5.5%
0 13
 
3.4%
5 12
 
3.1%
9 12
 
3.1%
Other values (2) 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
60.7%
ASCII 381
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
43.6%
1 37
 
9.7%
3 31
 
8.1%
4 28
 
7.3%
2 27
 
7.1%
6 21
 
5.5%
- 21
 
5.5%
0 13
 
3.4%
5 12
 
3.1%
9 12
 
3.1%
Other values (2) 13
 
3.4%
Hangul
ValueCountFrequency (%)
산 73
12.4%
청 57
 
9.7%
경 49
 
8.3%
상 43
 
7.3%
남 42
 
7.1%
도 41
 
7.0%
군 41
 
7.0%
로 40
 
6.8%
면 29
 
4.9%
읍 12
 
2.0%
Other values (40) 161
27.4%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2021-04-30
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-04-30
2nd row2021-04-30
3rd row2021-04-30
4th row2021-04-30
5th row2021-04-30

Common Values

ValueCountFrequency (%)
2021-04-30 41
100.0%

Length

2023-12-11T08:04:46.286134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:46.408540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-04-30 41
100.0%

Interactions

2023-12-11T08:04:42.422554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:42.192067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:42.535712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:42.322227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:04:46.499549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고기준년도폐기물종류폐기물 상세처리방법상호소재지
연번1.0000.8500.9900.6210.4031.0000.967
신고기준년도0.8501.0000.2420.0000.0001.0000.960
폐기물종류0.9900.2421.0000.0000.5471.0000.000
폐기물 상세0.6210.0000.0001.0000.9431.0000.926
처리방법0.4030.0000.5470.9431.0001.0000.978
상호1.0001.0001.0001.0001.0001.0001.000
소재지0.9670.9600.0000.9260.9781.0001.000
2023-12-11T08:04:46.644998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고기준년도폐기물종류
연번1.000-0.1530.814
신고기준년도-0.1531.0000.081
폐기물종류0.8140.0811.000

Missing values

2023-12-11T08:04:42.662947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:04:42.824539image/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

연번신고기준년도폐기물종류폐기물 상세처리방법상호소재지데이터기준일자
012019사업장배출시설계폐기물폐수처리오니중간처분(일반소각)서천건설(주)경상남도 산청군 금서면 지막리 40-32021-04-30
122018사업장배출시설계폐기물폐콘크리트중간처분(파쇄.분쇄)플러스콘(주)경상남도 산청군 금서면 친환경로 2483-92021-04-30
232017사업장배출시설계폐기물정수처리오니재활용(중간가공폐기물 제조, 성토재복토재 등으로 사용)산청군청(상하수도사업소)경상남도 산청군 산청읍 산엔청로 12021-04-30
342016사업장배출시설계폐기물석재*골재폐수처리오니재활용(성토재복토재 등으로 사용)(주)무창경상남도 산청군 신등면 상능로504번길 36-132021-04-30
452016사업장배출시설계폐기물폐벽돌, 폐기와재활용(직접제품 제조)(주)산청토기와경상남도 산청군 산청읍 산수로 404-1502021-04-30
562016사업장배출시설계폐기물폐합성고무류재활용(중간가공폐기물 제조)(주)디에이치엠경상남도 산청군 금서면 친환경로 2491-422021-04-30
672014사업장배출시설계폐기물폐도자기 조각매립(민간관리형 매립시설)(주)경산세라믹 산청지점경상남도 산청군 금서면 동의보감로 1672021-04-30
782013사업장배출시설계폐기물가축분뇨처리오니재활용(토질개선에 사용)산청군 내리 가축분뇨공공처리시설경상남도 산청군 산청읍 산청대로1381번길 1462021-04-30
892013사업장배출시설계폐기물폐합성수지류중간처분(일반소각)지에이치메탈(주)산청지점경상남도 산청군 산청읍 산수로 116-372021-04-30
9102013사업장배출시설계폐기물폐합성수지, 그 밖의 분진, 그 밖의 폐목재류, 폐수처리오니, 폐활성탄매립(민간관리형 매립시설), 재활용(원료제조, 중간가공폐기물 제조, 연료고형연료제품 제조)한국항공우주산업(주)산청공장경상남도 산청군 금서면 친환경로 24362021-04-30
연번신고기준년도폐기물종류폐기물 상세처리방법상호소재지데이터기준일자
31322020사업장배출시설계폐기물폐합성수지류(폐염화비닐수지류는 제외한다), 그 밖의 폐목재류중간처분(일반소각), 재활용(연료·고형연료제품 제조)(주)율곡산청공장경상남도 산청군 금서면 친환경로 2431-92021-04-30
32332020사업장배출시설계폐기물폐합성수지류(폐염화비닐수지류는 제외한다)재활용(중간가공폐기물 제조)산청음료 주식회사경상남도 산청군 시천면 남명로 59-612021-04-30
33342021사업장배출시설계폐기물왕겨 및 쌀겨재활용(농업생산활동에 사용)산청군 농협미곡종합처리사업소경상남도 산청군 신안면 지리산대로 39292021-04-30
34352019사업장생활계폐기물폐합성고무류재활용(중간가공폐기물 제조)산청군청(문화체육과)경상남도 산청군 산청읍 산엔청로 12021-04-30
35362019사업장생활계폐기물폐합성수지류재활용(중간가공폐기물 제조)(주)화인바이오경상남도 산청군 시천면 삼신봉로 4602021-04-30
36372018사업장생활계폐기물폐합성수지류재활용(중간가공폐기물 제조)(주)케이티경상남도 산청군 산청읍 중앙로 532021-04-30
37382017사업장생활계폐기물폐합성고무류재활용(중간가공폐기물 제조, 연료·고형연료제품 제조)(주)제이엠신소재경상남도 산청군 금서면 친환경로2451번길 38-222021-04-30
38392013사업장생활계폐기물폐합성수지류재활용(중간가공폐기물 제조)영진모터스경상남도 산청군 신등면 황매산로 292021-04-30
39402013사업장생활계폐기물폐합성수지류재활용(원료 제조, 중간가공폐기물 제조)(주)울티모팩경상남도 산청군 생비량면 진산로2106번길 212021-04-30
40412004사업장생활계폐기물폐전주재활용(성토재·복토재 등으로 사용)한국전력 산청지점경상남도 산청군 산청읍 웅석봉로 452021-04-30