Overview

Dataset statistics

Number of variables7
Number of observations414
Missing cells47
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.2 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description양산시 소재 사업장 폐기물 배출자 신고현황입니다. 상호명, 폐기물 종류 및 처리방법 사업장주소 전화번호를 확인할 수 있습니다.
Author경상남도 양산시
URLhttps://www.data.go.kr/data/15081014/fileData.do

Alerts

기준일 has constant value ""Constant
사업장주소 has 7 (1.7%) missing valuesMissing
전화번호 has 30 (7.2%) missing valuesMissing
기준일 has 9 (2.2%) missing valuesMissing
순번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 01:10:11.997001
Analysis finished2023-12-12 01:10:12.996777
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.5
Minimum1
Maximum414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-12T10:10:13.073801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile21.65
Q1104.25
median207.5
Q3310.75
95-th percentile393.35
Maximum414
Range413
Interquartile range (IQR)206.5

Descriptive statistics

Standard deviation119.65576
Coefficient of variation (CV)0.57665425
Kurtosis-1.2
Mean207.5
Median Absolute Deviation (MAD)103.5
Skewness0
Sum85905
Variance14317.5
MonotonicityStrictly increasing
2023-12-12T10:10:13.213665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
274 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
282 1
 
0.2%
281 1
 
0.2%
280 1
 
0.2%
279 1
 
0.2%
278 1
 
0.2%
277 1
 
0.2%
Other values (404) 404
97.6%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
414 1
0.2%
413 1
0.2%
412 1
0.2%
411 1
0.2%
410 1
0.2%
409 1
0.2%
408 1
0.2%
407 1
0.2%
406 1
0.2%
405 1
0.2%

상호명
Text

UNIQUE 

Distinct414
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T10:10:13.468988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length19
Mean length8.1086957
Min length2

Characters and Unicode

Total characters3357
Distinct characters342
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique414 ?
Unique (%)100.0%

Sample

1st row양산시청(웅상정수장)
2nd row현대드럼
3rd row(주)대한특수강
4th row(주)세창
5th row유승건기산업(주)
ValueCountFrequency (%)
주식회사 15
 
3.2%
양산공장 9
 
1.9%
양산지점 4
 
0.8%
주)이마트 2
 
0.4%
주)동일리조트 2
 
0.4%
고려제강(주 2
 
0.4%
주)케이에스씨엔티 2
 
0.4%
2공장 2
 
0.4%
양산 2
 
0.4%
주)디티알 2
 
0.4%
Other values (429) 433
91.2%
2023-12-12T10:10:13.925114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 300
 
8.9%
( 286
 
8.5%
) 285
 
8.5%
산 117
 
3.5%
양 73
 
2.2%
이 70
 
2.1%
공 67
 
2.0%
업 67
 
2.0%
61
 
1.8%
스 55
 
1.6%
Other values (332) 1976
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2633
78.4%
Open Punctuation 286
 
8.5%
Close Punctuation 285
 
8.5%
Space Separator 61
 
1.8%
Uppercase Letter 37
 
1.1%
Other Symbol 34
 
1.0%
Decimal Number 8
 
0.2%
Other Punctuation 6
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 300
 
11.4%
산 117
 
4.4%
양 73
 
2.8%
이 70
 
2.7%
공 67
 
2.5%
업 67
 
2.5%
스 55
 
2.1%
장 46
 
1.7%
사 46
 
1.7%
지 44
 
1.7%
Other values (303) 1748
66.4%
Uppercase Letter
ValueCountFrequency (%)
C 7
18.9%
S 5
13.5%
T 4
10.8%
M 3
8.1%
I 3
8.1%
R 3
8.1%
N 3
8.1%
A 2
 
5.4%
O 2
 
5.4%
H 1
 
2.7%
Other values (4) 4
10.8%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
r 1
25.0%
f 1
25.0%
n 1
25.0%
Other Punctuation
ValueCountFrequency (%)
& 4
66.7%
＆ 1
 
16.7%
. 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 6
75.0%
3 2
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 286
100.0%
Close Punctuation
ValueCountFrequency (%)
) 285
100.0%
Space Separator
ValueCountFrequency (%)
61
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
> 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2667
79.4%
Common 649
 
19.3%
Latin 41
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 300
 
11.2%
산 117
 
4.4%
양 73
 
2.7%
이 70
 
2.6%
공 67
 
2.5%
업 67
 
2.5%
스 55
 
2.1%
장 46
 
1.7%
사 46
 
1.7%
지 44
 
1.6%
Other values (304) 1782
66.8%
Latin
ValueCountFrequency (%)
C 7
17.1%
S 5
12.2%
T 4
9.8%
M 3
 
7.3%
I 3
 
7.3%
R 3
 
7.3%
N 3
 
7.3%
A 2
 
4.9%
O 2
 
4.9%
H 1
 
2.4%
Other values (8) 8
19.5%
Common
ValueCountFrequency (%)
( 286
44.1%
) 285
43.9%
61
 
9.4%
2 6
 
0.9%
& 4
 
0.6%
3 2
 
0.3%
- 2
 
0.3%
＆ 1
 
0.2%
> 1
 
0.2%
. 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2633
78.4%
ASCII 689
 
20.5%
None 35
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 300
 
11.4%
산 117
 
4.4%
양 73
 
2.8%
이 70
 
2.7%
공 67
 
2.5%
업 67
 
2.5%
스 55
 
2.1%
장 46
 
1.7%
사 46
 
1.7%
지 44
 
1.7%
Other values (303) 1748
66.4%
ASCII
ValueCountFrequency (%)
( 286
41.5%
) 285
41.4%
61
 
8.9%
C 7
 
1.0%
2 6
 
0.9%
S 5
 
0.7%
T 4
 
0.6%
& 4
 
0.6%
M 3
 
0.4%
I 3
 
0.4%
Other values (17) 25
 
3.6%
None
ValueCountFrequency (%)
㈜ 34
97.1%
＆ 1
 
2.9%

폐기물종류
Text

Distinct71
Distinct (%)17.2%
Missing1
Missing (%)0.2%
Memory size3.4 KiB
2023-12-12T10:10:14.180788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length64
Mean length13.547215
Min length2

Characters and Unicode

Total characters5595
Distinct characters171
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)7.5%

Sample

1st row정수처리오니
2nd row폐활성탄
3rd row폐내화물
4th row사업장폐기물 소각시설 바닥재
5th row석재ㆍ골재폐수처리오니(석재ㆍ골재 생산 시 발생한 폐수를 처리하는 과정에서 발생한 오니로 한정한다)
ValueCountFrequency (%)
폐합성수지류(폐염화비닐수지류는 150
18.5%
제외한다 150
18.5%
그 61
 
7.5%
밖의 61
 
7.5%
폐수처리오니 32
 
4.0%
폐합성수지류 27
 
3.3%
폐콘크리트 17
 
2.1%
폐합성고무류 16
 
2.0%
폐기물 14
 
1.7%
폐활성탄 12
 
1.5%
Other values (120) 269
33.3%
2023-12-12T10:10:14.673824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 533
 
9.5%
402
 
7.2%
수 388
 
6.9%
류 377
 
6.7%
지 341
 
6.1%
성 241
 
4.3%
합 217
 
3.9%
한 174
 
3.1%
제 164
 
2.9%
( 163
 
2.9%
Other values (161) 2595
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4846
86.6%
Space Separator 402
 
7.2%
Open Punctuation 164
 
2.9%
Close Punctuation 164
 
2.9%
Connector Punctuation 16
 
0.3%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 533
 
11.0%
수 388
 
8.0%
류 377
 
7.8%
지 341
 
7.0%
성 241
 
5.0%
합 217
 
4.5%
한 174
 
3.6%
제 164
 
3.4%
화 162
 
3.3%
다 162
 
3.3%
Other values (153) 2087
43.1%
Open Punctuation
ValueCountFrequency (%)
( 163
99.4%
「 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 163
99.4%
」 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
8 1
33.3%
Space Separator
ValueCountFrequency (%)
402
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4846
86.6%
Common 749
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 533
 
11.0%
수 388
 
8.0%
류 377
 
7.8%
지 341
 
7.0%
성 241
 
5.0%
합 217
 
4.5%
한 174
 
3.6%
제 164
 
3.4%
화 162
 
3.3%
다 162
 
3.3%
Other values (153) 2087
43.1%
Common
ValueCountFrequency (%)
402
53.7%
( 163
21.8%
) 163
21.8%
_ 16
 
2.1%
1 2
 
0.3%
「 1
 
0.1%
8 1
 
0.1%
」 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4831
86.3%
ASCII 747
 
13.4%
Compat Jamo 15
 
0.3%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 533
 
11.0%
수 388
 
8.0%
류 377
 
7.8%
지 341
 
7.1%
성 241
 
5.0%
합 217
 
4.5%
한 174
 
3.6%
제 164
 
3.4%
화 162
 
3.4%
다 162
 
3.4%
Other values (152) 2072
42.9%
ASCII
ValueCountFrequency (%)
402
53.8%
( 163
21.8%
) 163
21.8%
_ 16
 
2.1%
1 2
 
0.3%
8 1
 
0.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 15
100.0%
None
ValueCountFrequency (%)
「 1
50.0%
」 1
50.0%

처리방법
Categorical

Distinct35
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
중간처분(일반소각)
109 
재활용(중간가공폐기물 제조)
82 
매립(민간관리형매립시설)
48 
재활용(원료 제조)
32 
중간처분(파쇄.분쇄)
17 
Other values (30)
126 

Length

Max length19
Median length17
Mean length11.874396
Min length1

Unique

Unique13 ?
Unique (%)3.1%

Sample

1st row재활용(성토재·복토재 등으로 사용)
2nd row재활용(직접 제품제조)
3rd row매립(민간관리형매립시설)
4th row매립(민간관리형매립시설)
5th row재활용(성토재·복토재 등으로 사용)

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 109
26.3%
재활용(중간가공폐기물 제조) 82
19.8%
매립(민간관리형매립시설) 48
11.6%
재활용(원료 제조) 32
 
7.7%
중간처분(파쇄.분쇄) 17
 
4.1%
재활용(직접 제품제조) 16
 
3.9%
재활용(파쇄.분쇄) 14
 
3.4%
재활용(성토재·복토재 등으로 사용) 13
 
3.1%
재활용(농업생산활동에 사용) 9
 
2.2%
매립(지방자치단체매립시설) 8
 
1.9%
Other values (25) 66
15.9%

Length

2023-12-12T10:10:14.839696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제조 122
20.3%
중간처분(일반소각 109
18.1%
재활용(중간가공폐기물 82
13.6%
매립(민간관리형매립시설 48
 
8.0%
재활용(원료 32
 
5.3%
사용 29
 
4.8%
재활용(직접 23
 
3.8%
중간처분(파쇄.분쇄 17
 
2.8%
제품제조 16
 
2.7%
재활용(파쇄.분쇄 14
 
2.3%
Other values (29) 109
18.1%

사업장주소
Text

MISSING 

Distinct407
Distinct (%)100.0%
Missing7
Missing (%)1.7%
Memory size3.4 KiB
2023-12-12T10:10:15.153651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length24.248157
Min length16

Characters and Unicode

Total characters9869
Distinct characters216
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique407 ?
Unique (%)100.0%

Sample

1st row경상남도 양산시 덕계서로 75 (평산동)
2nd row경상남도 양산시 소주동 226
3rd row경상남도 양산시 소주공단3길 19 (소주동)
4th row경상남도 양산시 주남로 50 (주남동)
5th row경상남도 양산시 덕명로 165 (덕계동)
ValueCountFrequency (%)
경상남도 404
20.0%
양산시 402
19.9%
유산동 65
 
3.2%
상북면 47
 
2.3%
어곡동 47
 
2.3%
산막동 39
 
1.9%
북정동 35
 
1.7%
소주동 20
 
1.0%
어실로 19
 
0.9%
충렬로 17
 
0.8%
Other values (506) 929
45.9%
2023-12-12T10:10:15.655113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1688
 
17.1%
산 689
 
7.0%
상 463
 
4.7%
남 457
 
4.6%
양 435
 
4.4%
경 408
 
4.1%
도 407
 
4.1%
시 407
 
4.1%
동 330
 
3.3%
1 311
 
3.2%
Other values (206) 4274
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6030
61.1%
Space Separator 1688
 
17.1%
Decimal Number 1386
 
14.0%
Open Punctuation 308
 
3.1%
Close Punctuation 307
 
3.1%
Dash Punctuation 112
 
1.1%
Connector Punctuation 31
 
0.3%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 689
 
11.4%
상 463
 
7.7%
남 457
 
7.6%
양 435
 
7.2%
경 408
 
6.8%
도 407
 
6.7%
시 407
 
6.7%
동 330
 
5.5%
길 230
 
3.8%
공 196
 
3.3%
Other values (186) 2008
33.3%
Decimal Number
ValueCountFrequency (%)
1 311
22.4%
3 170
12.3%
2 169
12.2%
4 142
10.2%
5 117
 
8.4%
6 116
 
8.4%
7 110
 
7.9%
0 95
 
6.9%
8 86
 
6.2%
9 70
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
T 1
33.3%
A 1
33.3%
Other Punctuation
ValueCountFrequency (%)
? 3
75.0%
& 1
 
25.0%
Space Separator
ValueCountFrequency (%)
1688
100.0%
Open Punctuation
ValueCountFrequency (%)
( 308
100.0%
Close Punctuation
ValueCountFrequency (%)
) 307
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6030
61.1%
Common 3836
38.9%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 689
 
11.4%
상 463
 
7.7%
남 457
 
7.6%
양 435
 
7.2%
경 408
 
6.8%
도 407
 
6.7%
시 407
 
6.7%
동 330
 
5.5%
길 230
 
3.8%
공 196
 
3.3%
Other values (186) 2008
33.3%
Common
ValueCountFrequency (%)
1688
44.0%
1 311
 
8.1%
( 308
 
8.0%
) 307
 
8.0%
3 170
 
4.4%
2 169
 
4.4%
4 142
 
3.7%
5 117
 
3.1%
6 116
 
3.0%
- 112
 
2.9%
Other values (7) 396
 
10.3%
Latin
ValueCountFrequency (%)
C 1
33.3%
T 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6030
61.1%
ASCII 3839
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1688
44.0%
1 311
 
8.1%
( 308
 
8.0%
) 307
 
8.0%
3 170
 
4.4%
2 169
 
4.4%
4 142
 
3.7%
5 117
 
3.0%
6 116
 
3.0%
- 112
 
2.9%
Other values (10) 399
 
10.4%
Hangul
ValueCountFrequency (%)
산 689
 
11.4%
상 463
 
7.7%
남 457
 
7.6%
양 435
 
7.2%
경 408
 
6.8%
도 407
 
6.7%
시 407
 
6.7%
동 330
 
5.5%
길 230
 
3.8%
공 196
 
3.3%
Other values (186) 2008
33.3%

전화번호
Text

MISSING 

Distinct355
Distinct (%)92.4%
Missing30
Missing (%)7.2%
Memory size3.4 KiB
2023-12-12T10:10:16.062564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.497396
Min length1

Characters and Unicode

Total characters4415
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique342 ?
Unique (%)89.1%

Sample

1st row055-380-4408
2nd row055-388-7100
3rd row055-362-8081
4th row055-387-5995
5th row055-367-1004
ValueCountFrequency (%)
055-386-1901 2
 
0.5%
055-364-4200 2
 
0.5%
055 2
 
0.5%
055-370-3243 2
 
0.5%
055-374-0046 2
 
0.5%
055-911-5001 2
 
0.5%
055-384-9101 2
 
0.5%
055-392-5624 2
 
0.5%
055-366-3280 2
 
0.5%
055-374-8812 2
 
0.5%
Other values (347) 350
94.6%
2023-12-12T10:10:16.610155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 903
20.5%
- 728
16.5%
0 702
15.9%
3 528
12.0%
8 308
 
7.0%
1 291
 
6.6%
7 240
 
5.4%
6 233
 
5.3%
2 179
 
4.1%
4 161
 
3.6%
Other values (2) 142
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3660
82.9%
Dash Punctuation 728
 
16.5%
Space Separator 27
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 903
24.7%
0 702
19.2%
3 528
14.4%
8 308
 
8.4%
1 291
 
8.0%
7 240
 
6.6%
6 233
 
6.4%
2 179
 
4.9%
4 161
 
4.4%
9 115
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 728
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4415
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 903
20.5%
- 728
16.5%
0 702
15.9%
3 528
12.0%
8 308
 
7.0%
1 291
 
6.6%
7 240
 
5.4%
6 233
 
5.3%
2 179
 
4.1%
4 161
 
3.6%
Other values (2) 142
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4415
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 903
20.5%
- 728
16.5%
0 702
15.9%
3 528
12.0%
8 308
 
7.0%
1 291
 
6.6%
7 240
 
5.4%
6 233
 
5.3%
2 179
 
4.1%
4 161
 
3.6%
Other values (2) 142
 
3.2%

기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.2%
Missing9
Missing (%)2.2%
Memory size3.4 KiB
Minimum2021-05-03 00:00:00
Maximum2021-05-03 00:00:00
2023-12-12T10:10:16.796702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:10:16.914009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T10:10:12.581418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:10:17.006386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번폐기물종류처리방법
순번1.0000.4680.215
폐기물종류0.4681.0000.952
처리방법0.2150.9521.000
2023-12-12T10:10:17.140585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번처리방법
순번1.0000.073
처리방법0.0731.000

Missing values

2023-12-12T10:10:12.693336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:10:12.815458image/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.
2023-12-12T10:10:12.925259image/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

순번상호명폐기물종류처리방법사업장주소전화번호기준일
01양산시청(웅상정수장)정수처리오니재활용(성토재·복토재 등으로 사용)경상남도 양산시 덕계서로 75 (평산동)055-380-44082021-05-03
12현대드럼폐활성탄재활용(직접 제품제조)경상남도 양산시 소주동 226055-388-71002021-05-03
23(주)대한특수강폐내화물매립(민간관리형매립시설)경상남도 양산시 소주공단3길 19 (소주동)055-362-80812021-05-03
34(주)세창사업장폐기물 소각시설 바닥재매립(민간관리형매립시설)경상남도 양산시 주남로 50 (주남동)055-387-59952021-05-03
45유승건기산업(주)석재ㆍ골재폐수처리오니(석재ㆍ골재 생산 시 발생한 폐수를 처리하는 과정에서 발생한 오니로 한정한다)재활용(성토재·복토재 등으로 사용)경상남도 양산시 덕명로 165 (덕계동)055-367-10042021-05-03
56(주)미림아트텍폐합성수지류(폐염화비닐수지류는 제외한다)재활용(원료 제조)경상남도 양산시 그린공단2길 46-1 (덕계동)055-364-34002021-05-03
67금화주강산기(주)폐주물사재활용(기타)경상남도 양산시 소주공단4길 25 (소주동)055-365-33002021-05-03
78부성폴리콤(주)폐합성수지류재활용(중간가공폐기물 제조)경상남도 양산시 진등1길 9 (주진동)055-384-99712021-05-03
89도림통산(주)폐합성수지류(폐염화비닐수지류는 제외한다)중간처분(일반소각)경상남도 양산시 웅상농공단지길 48 (덕계동)055-366-41432021-05-03
910(주)코스모(서창공장)폐합성수지류중간처분(일반소각)경상남도 양산시 소주공단3길 34 (소주동)055-362-99012021-05-03
순번상호명폐기물종류처리방법사업장주소전화번호기준일
404405(주)스마트카라폐합성수지류(폐염화비닐수지류는 제외한다)재활용(중간가공폐기물 제조)경상남도 양산시 어곡동 874-2 (주)성신055-371-13122021-05-03
405406하나DS폐합성수지류(폐염화비닐수지류는 제외한다)재활용(중간가공폐기물 제조)경상남도 양산시 상북면 소석리 172055-374-93322021-05-03
406407주식회사 혜동폐활성탄재활용(직접 제품제조)경상남도 양산시 상북면 석계리 1126-4055-365-37412021-05-03
407408대한정밀공업(주)폐합성수지류(폐염화비닐수지류는 제외한다)재활용(중간가공폐기물 제조)경상남도 양산시 어곡동 865-16055-385-18152021-05-03
408409(주)하승이엔시폐합성수지류(폐염화비닐수지류는 제외한다)중간처분(일반소각)경상남도 양산시 용당동 360055-386-54172021-05-03
409410(주)의령수지(용당지점)그 밖의 폐기물매립(민간관리형매립시설)경상남도 양산시 용당동 1220-4055-374-00462021-05-03
410411(주)엠씨폐합성수지류(폐염화비닐수지류는 제외한다)재활용(중간가공폐기물 제조)경상남도 양산시 원동면 화제리 1151-2051-515-12232021-05-03
411412대양R&I그 밖의 폐기물중간처분(일반소각)경상남도 양산시 어곡동 858-4 세진기술산업(주)055-365-53042021-05-03
412413유신단열(주)소주공단지점폐합성수지류(폐염화비닐수지류는 제외한다)<NA><NA><NA><NA>
413414진흥종합리사이클링폐합성수지류(폐염화비닐수지류는 제외한다)재활용(직접 에너지회수)경상남도 양산시 주남동 540-1<NA>2021-05-03