Overview

Dataset statistics

Number of variables8
Number of observations45
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory68.9 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 23:04:47.805871
Analysis finished2023-12-10 23:04:48.826479
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23
Minimum1
Maximum45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T08:04:48.907984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.2
Q112
median23
Q334
95-th percentile42.8
Maximum45
Range44
Interquartile range (IQR)22

Descriptive statistics

Standard deviation13.133926
Coefficient of variation (CV)0.57104024
Kurtosis-1.2
Mean23
Median Absolute Deviation (MAD)11
Skewness0
Sum1035
Variance172.5
MonotonicityStrictly increasing
2023-12-11T08:04:49.041182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 1
 
2.2%
35 1
 
2.2%
26 1
 
2.2%
27 1
 
2.2%
28 1
 
2.2%
29 1
 
2.2%
30 1
 
2.2%
31 1
 
2.2%
32 1
 
2.2%
33 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
4 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
ValueCountFrequency (%)
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
37 1
2.2%
36 1
2.2%

신고기준년도
Real number (ℝ)

Distinct19
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2012.1778
Minimum1997
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T08:04:49.154732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1997
5-th percentile2004
Q12009
median2013
Q32016
95-th percentile2020
Maximum2021
Range24
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.4825711
Coefficient of variation (CV)0.0027246952
Kurtosis-0.059108964
Mean2012.1778
Median Absolute Deviation (MAD)4
Skewness-0.45312363
Sum90548
Variance30.058586
MonotonicityNot monotonic
2023-12-11T08:04:49.257917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2013 5
 
11.1%
2009 4
 
8.9%
2011 3
 
6.7%
2015 3
 
6.7%
2004 3
 
6.7%
2008 3
 
6.7%
2020 3
 
6.7%
2019 3
 
6.7%
2016 3
 
6.7%
2010 2
 
4.4%
Other values (9) 13
28.9%
ValueCountFrequency (%)
1997 1
 
2.2%
2002 1
 
2.2%
2004 3
6.7%
2006 1
 
2.2%
2007 2
4.4%
2008 3
6.7%
2009 4
8.9%
2010 2
4.4%
2011 3
6.7%
2012 2
4.4%
ValueCountFrequency (%)
2021 1
 
2.2%
2020 3
6.7%
2019 3
6.7%
2018 2
 
4.4%
2017 2
 
4.4%
2016 3
6.7%
2015 3
6.7%
2014 1
 
2.2%
2013 5
11.1%
2012 2
 
4.4%

폐기물종류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
사업장배출시설계폐기물
38 
사업장생활계폐기물
7 

Length

Max length11
Median length11
Mean length10.688889
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장배출시설계폐기물 38
84.4%
사업장생활계폐기물 7
 
15.6%

Length

2023-12-11T08:04:49.377603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:49.470529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장배출시설계폐기물 38
84.4%
사업장생활계폐기물 7
 
15.6%

폐기물 상세
Text

Distinct31
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T08:04:49.651690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length32
Mean length13
Min length3

Characters and Unicode

Total characters585
Distinct characters101
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

Unique24 ?
Unique (%)53.3%

Sample

1st row폐수처리오니
2nd row폐콘크리트
3rd row정수처리오니
4th row석재*골재폐수처리오니
5th row폐벽돌, 폐기와
ValueCountFrequency (%)
폐합성수지류 10
 
9.8%
밖의 7
 
6.9%
그 7
 
6.9%
폐수처리오니 6
 
5.9%
폐콘크리트 4
 
3.9%
폐합성고무류 4
 
3.9%
폐활성탄 4
 
3.9%
폐아스팔트콘크리트 3
 
2.9%
폐흡착제 3
 
2.9%
제외한다 3
 
2.9%
Other values (39) 51
50.0%
2023-12-11T08:04:49.962729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 69
 
11.8%
57
 
9.7%
수 31
 
5.3%
, 29
 
5.0%
성 28
 
4.8%
류 24
 
4.1%
합 23
 
3.9%
지 20
 
3.4%
리 20
 
3.4%
오 14
 
2.4%
Other values (91) 270
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 489
83.6%
Space Separator 57
 
9.7%
Other Punctuation 31
 
5.3%
Close Punctuation 4
 
0.7%
Open Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 69
 
14.1%
수 31
 
6.3%
성 28
 
5.7%
류 24
 
4.9%
합 23
 
4.7%
지 20
 
4.1%
리 20
 
4.1%
오 14
 
2.9%
니 14
 
2.9%
처 13
 
2.7%
Other values (85) 233
47.6%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
* 1
 
3.2%
' 1
 
3.2%
Space Separator
ValueCountFrequency (%)
57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 489
83.6%
Common 96
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 69
 
14.1%
수 31
 
6.3%
성 28
 
5.7%
류 24
 
4.9%
합 23
 
4.7%
지 20
 
4.1%
리 20
 
4.1%
오 14
 
2.9%
니 14
 
2.9%
처 13
 
2.7%
Other values (85) 233
47.6%
Common
ValueCountFrequency (%)
57
59.4%
, 29
30.2%
) 4
 
4.2%
( 4
 
4.2%
* 1
 
1.0%
' 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 489
83.6%
ASCII 96
 
16.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 69
 
14.1%
수 31
 
6.3%
성 28
 
5.7%
류 24
 
4.9%
합 23
 
4.7%
지 20
 
4.1%
리 20
 
4.1%
오 14
 
2.9%
니 14
 
2.9%
처 13
 
2.7%
Other values (85) 233
47.6%
ASCII
ValueCountFrequency (%)
57
59.4%
, 29
30.2%
) 4
 
4.2%
( 4
 
4.2%
* 1
 
1.0%
' 1
 
1.0%

처리방법
Text

Distinct27
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T08:04:50.220750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length34
Mean length21.4
Min length7

Characters and Unicode

Total characters963
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

Unique18 ?
Unique (%)40.0%

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 26
20.0%
재활용(중간가공폐기물 13
 
10.0%
사용 12
 
9.2%
중간처분(파쇄.분쇄 7
 
5.4%
매립(민간관리형 7
 
5.4%
매립시설 7
 
5.4%
중간처분(일반소각 6
 
4.6%
매립(민간관리형매립시설 5
 
3.8%
제품제조 5
 
3.8%
등으로 5
 
3.8%
Other values (21) 37
28.5%
2023-12-11T08:04:50.842520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
 
8.8%
( 60
 
6.2%
) 60
 
6.2%
용 48
 
5.0%
재 46
 
4.8%
제 45
 
4.7%
간 41
 
4.3%
활 37
 
3.8%
조 34
 
3.5%
, 29
 
3.0%
Other values (48) 478
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 716
74.4%
Space Separator 85
 
8.8%
Open Punctuation 60
 
6.2%
Close Punctuation 60
 
6.2%
Other Punctuation 42
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 48
 
6.7%
재 46
 
6.4%
제 45
 
6.3%
간 41
 
5.7%
활 37
 
5.2%
조 34
 
4.7%
중 29
 
4.1%
매 24
 
3.4%
립 24
 
3.4%
분 20
 
2.8%
Other values (42) 368
51.4%
Other Punctuation
ValueCountFrequency (%)
, 29
69.0%
. 7
 
16.7%
· 6
 
14.3%
Space Separator
ValueCountFrequency (%)
85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 716
74.4%
Common 247
 
25.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 48
 
6.7%
재 46
 
6.4%
제 45
 
6.3%
간 41
 
5.7%
활 37
 
5.2%
조 34
 
4.7%
중 29
 
4.1%
매 24
 
3.4%
립 24
 
3.4%
분 20
 
2.8%
Other values (42) 368
51.4%
Common
ValueCountFrequency (%)
85
34.4%
( 60
24.3%
) 60
24.3%
, 29
 
11.7%
. 7
 
2.8%
· 6
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 716
74.4%
ASCII 241
 
25.0%
None 6
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
35.3%
( 60
24.9%
) 60
24.9%
, 29
 
12.0%
. 7
 
2.9%
Hangul
ValueCountFrequency (%)
용 48
 
6.7%
재 46
 
6.4%
제 45
 
6.3%
간 41
 
5.7%
활 37
 
5.2%
조 34
 
4.7%
중 29
 
4.1%
매 24
 
3.4%
립 24
 
3.4%
분 20
 
2.8%
Other values (42) 368
51.4%
None
ValueCountFrequency (%)
· 6
100.0%

상호
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T08:04:51.074233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.088889
Min length5

Characters and Unicode

Total characters454
Distinct characters122
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

Unique45 ?
Unique (%)100.0%

Sample

1st row서천건설(주)
2nd row플러스콘(주)
3rd row산청군청(상하수도사업소)
4th row(주)무창
5th row(주)산청토기와
ValueCountFrequency (%)
산청군 4
 
7.3%
산청지점 2
 
3.6%
가축분뇨공공처리시설 2
 
3.6%
서천건설(주 1
 
1.8%
농협미곡종합처리사업소 1
 
1.8%
주)홍성 1
 
1.8%
주)동영환경 1
 
1.8%
합)동명식품 1
 
1.8%
산청군청(산청공공하수처리시설 1
 
1.8%
일신환경(주 1
 
1.8%
Other values (40) 40
72.7%
2023-12-11T08:04:51.470698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 37
 
8.1%
) 37
 
8.1%
주 30
 
6.6%
산 25
 
5.5%
청 23
 
5.1%
공 16
 
3.5%
리 12
 
2.6%
설 10
 
2.2%
시 10
 
2.2%
10
 
2.2%
Other values (112) 244
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
81.1%
Open Punctuation 37
 
8.1%
Close Punctuation 37
 
8.1%
Space Separator 10
 
2.2%
Other Symbol 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 30
 
8.2%
산 25
 
6.8%
청 23
 
6.2%
공 16
 
4.3%
리 12
 
3.3%
설 10
 
2.7%
시 10
 
2.7%
군 9
 
2.4%
처 9
 
2.4%
이 8
 
2.2%
Other values (108) 216
58.7%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 370
81.5%
Common 84
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 30
 
8.1%
산 25
 
6.8%
청 23
 
6.2%
공 16
 
4.3%
리 12
 
3.2%
설 10
 
2.7%
시 10
 
2.7%
군 9
 
2.4%
처 9
 
2.4%
이 8
 
2.2%
Other values (109) 218
58.9%
Common
ValueCountFrequency (%)
( 37
44.0%
) 37
44.0%
10
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
81.1%
ASCII 84
 
18.5%
None 2
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 37
44.0%
) 37
44.0%
10
 
11.9%
Hangul
ValueCountFrequency (%)
주 30
 
8.2%
산 25
 
6.8%
청 23
 
6.2%
공 16
 
4.3%
리 12
 
3.3%
설 10
 
2.7%
시 10
 
2.7%
군 9
 
2.4%
처 9
 
2.4%
이 8
 
2.2%
Other values (108) 216
58.7%
None
ValueCountFrequency (%)
㈜ 2
100.0%

소재지
Text

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T08:04:51.741862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length23.822222
Min length19

Characters and Unicode

Total characters1072
Distinct characters63
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

Unique35 ?
Unique (%)77.8%

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 45
20.0%
산청군 45
20.0%
산청읍 15
 
6.7%
금서면 10
 
4.4%
친환경로 8
 
3.6%
지리산대로 7
 
3.1%
생비량면 6
 
2.7%
신안면 6
 
2.7%
산청대로1381번길 4
 
1.8%
산수로 4
 
1.8%
Other values (62) 75
33.3%
2023-12-11T08:04:52.088744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
17.0%
산 82
 
7.6%
청 66
 
6.2%
경 54
 
5.0%
상 47
 
4.4%
남 46
 
4.3%
도 45
 
4.2%
군 45
 
4.2%
로 44
 
4.1%
1 44
 
4.1%
Other values (53) 417
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 650
60.6%
Decimal Number 218
 
20.3%
Space Separator 182
 
17.0%
Dash Punctuation 22
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 82
12.6%
청 66
 
10.2%
경 54
 
8.3%
상 47
 
7.2%
남 46
 
7.1%
도 45
 
6.9%
군 45
 
6.9%
로 44
 
6.8%
면 30
 
4.6%
읍 15
 
2.3%
Other values (41) 176
27.1%
Decimal Number
ValueCountFrequency (%)
1 44
20.2%
3 36
16.5%
4 30
13.8%
2 29
13.3%
6 25
11.5%
0 15
 
6.9%
5 12
 
5.5%
9 12
 
5.5%
8 9
 
4.1%
7 6
 
2.8%
Space Separator
ValueCountFrequency (%)
182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 650
60.6%
Common 422
39.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 82
12.6%
청 66
 
10.2%
경 54
 
8.3%
상 47
 
7.2%
남 46
 
7.1%
도 45
 
6.9%
군 45
 
6.9%
로 44
 
6.8%
면 30
 
4.6%
읍 15
 
2.3%
Other values (41) 176
27.1%
Common
ValueCountFrequency (%)
182
43.1%
1 44
 
10.4%
3 36
 
8.5%
4 30
 
7.1%
2 29
 
6.9%
6 25
 
5.9%
- 22
 
5.2%
0 15
 
3.6%
5 12
 
2.8%
9 12
 
2.8%
Other values (2) 15
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 650
60.6%
ASCII 422
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
43.1%
1 44
 
10.4%
3 36
 
8.5%
4 30
 
7.1%
2 29
 
6.9%
6 25
 
5.9%
- 22
 
5.2%
0 15
 
3.6%
5 12
 
2.8%
9 12
 
2.8%
Other values (2) 15
 
3.6%
Hangul
ValueCountFrequency (%)
산 82
12.6%
청 66
 
10.2%
경 54
 
8.3%
상 47
 
7.2%
남 46
 
7.1%
도 45
 
6.9%
군 45
 
6.9%
로 44
 
6.8%
면 30
 
4.6%
읍 15
 
2.3%
Other values (41) 176
27.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
2022-06-10
45 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-06-10
2nd row2022-06-10
3rd row2022-06-10
4th row2022-06-10
5th row2022-06-10

Common Values

ValueCountFrequency (%)
2022-06-10 45
100.0%

Length

2023-12-11T08:04:52.215668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:04:52.309279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-06-10 45
100.0%

Interactions

2023-12-11T08:04:48.420654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:48.263701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:48.512511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:04:48.345183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:04:52.384445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고기준년도폐기물종류폐기물 상세처리방법상호소재지
연번1.0000.8400.9170.7800.7601.0000.761
신고기준년도0.8401.0000.3500.6460.0001.0000.000
폐기물종류0.9170.3501.0000.0000.5931.0000.739
폐기물 상세0.7800.6460.0001.0000.9661.0000.926
처리방법0.7600.0000.5930.9661.0001.0000.976
상호1.0001.0001.0001.0001.0001.0001.000
소재지0.7610.0000.7390.9260.9761.0001.000
2023-12-11T08:04:52.485500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번신고기준년도폐기물종류
연번1.000-0.0830.684
신고기준년도-0.0831.0000.199
폐기물종류0.6840.1991.000

Missing values

2023-12-11T08:04:48.622761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:04:48.780078image/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 40-32022-06-10
122018사업장배출시설계폐기물폐콘크리트중간처분(파쇄.분쇄)플러스콘(주)경상남도 산청군 금서면 친환경로 2483-92022-06-10
232017사업장배출시설계폐기물정수처리오니재활용(중간가공폐기물 제조, 성토재복토재 등으로 사용)산청군청(상하수도사업소)경상남도 산청군 산청읍 산엔청로 12022-06-10
342016사업장배출시설계폐기물석재*골재폐수처리오니재활용(성토재복토재 등으로 사용)(주)무창경상남도 산청군 신등면 상능로504번길 36-132022-06-10
452016사업장배출시설계폐기물폐벽돌, 폐기와재활용(직접제품 제조)(주)산청토기와경상남도 산청군 산청읍 산수로 404-1502022-06-10
562016사업장배출시설계폐기물폐합성고무류재활용(중간가공폐기물 제조)(주)디에이치엠경상남도 산청군 금서면 친환경로 2491-422022-06-10
672014사업장배출시설계폐기물폐도자기 조각매립(민간관리형 매립시설)(주)경산세라믹 산청지점경상남도 산청군 금서면 동의보감로 1672022-06-10
782013사업장배출시설계폐기물가축분뇨처리오니재활용(토질개선에 사용)산청군 내리 가축분뇨공공처리시설경상남도 산청군 산청읍 산청대로1381번길 1462022-06-10
892013사업장배출시설계폐기물폐합성수지류중간처분(일반소각)지에이치메탈(주)산청지점경상남도 산청군 산청읍 산수로 116-372022-06-10
9102013사업장배출시설계폐기물폐합성수지, 그 밖의 분진, 그 밖의 폐목재류, 폐수처리오니, 폐활성탄매립(민간관리형 매립시설), 재활용(원료제조, 중간가공폐기물 제조, 연료고형연료제품 제조)한국항공우주산업(주)산청공장경상남도 산청군 금서면 친환경로 24362022-06-10
연번신고기준년도폐기물종류폐기물 상세처리방법상호소재지데이터기준일자
35362019사업장생활계폐기물폐합성수지류재활용(중간가공폐기물 제조)(주)화인바이오경상남도 산청군 시천면 삼신봉로 4602022-06-10
36372018사업장생활계폐기물폐합성수지류재활용(중간가공폐기물 제조)(주)케이티경상남도 산청군 산청읍 중앙로 532022-06-10
37382017사업장생활계폐기물폐합성고무류재활용(중간가공폐기물 제조, 연료·고형연료제품 제조)(주)제이엠신소재경상남도 산청군 금서면 친환경로2451번길 38-222022-06-10
38392013사업장생활계폐기물폐합성수지류재활용(중간가공폐기물 제조)영진모터스경상남도 산청군 신등면 황매산로 292022-06-10
39402013사업장생활계폐기물폐합성수지류재활용(원료 제조, 중간가공폐기물 제조)(주)울티모팩경상남도 산청군 생비량면 진산로2106번길 212022-06-10
40412004사업장생활계폐기물폐전주재활용(성토재·복토재 등으로 사용)한국전력 산청지점경상남도 산청군 산청읍 웅석봉로 452022-06-10
41422010사업장배출시설계폐기물폐합성수지류(폐염화비닐수지류는 제외한다)재활용(원료 제조)㈜지리산산청샘물경상남도 산청군 삼장면 친환경로 460-222022-06-10
42432015사업장배출시설계폐기물폐흡착제, 폐활성탄매립(민간관리형매립시설), 재활용(직접 제품제조)(주)파이닉스알엔디(가축분뇨공공처리시설)경상남도 산청군 산청읍 웅석봉로133번길 662022-06-10
43442015사업장배출시설계폐기물폐흡착제, 폐활성탄매립(민간관리형매립시설), 재활용(직접 제품제조)(주)파이닉스알엔디(내리가축분뇨공공처리시설)경상남도 산청군 산청읍 산청대로1381번길 1462022-06-10
44452015사업장배출시설계폐기물폐흡착제, 폐활성탄매립(민간관리형매립시설), 재활용(직접 제품제조)(주)파이닉스알엔디(분뇨처리시설)경상남도 산청군 산청읍 산청대로1381번길 1302022-06-10