Overview

Dataset statistics

Number of variables11
Number of observations4366
Missing cells1091
Missing cells (%)2.3%
Duplicate rows80
Duplicate rows (%)1.8%
Total size in memory379.6 KiB
Average record size in memory89.0 B

Variable types

Categorical3
Text7
Numeric1

Dataset

Description폐기물관리법 제17조(사업장폐기물배출자의 의무)에 따른 관내 폐기물 배출 신고 현황(업체명, 폐기물 종류, 발생량 등)에 대한 데이터 입니다.
URLhttps://www.data.go.kr/data/15060310/fileData.do

Alerts

기준일자 has constant value ""Constant
Dataset has 80 (1.8%) duplicate rowsDuplicates
업무구분 is highly overall correlated with 처리방법High correlation
처리방법 is highly overall correlated with 업무구분High correlation
전화번호 has 1091 (25.0%) missing valuesMissing
배출량(톤) has 168 (3.8%) zerosZeros

Reproduction

Analysis started2023-12-12 13:28:45.469140
Analysis finished2023-12-12 13:28:48.234951
Duration2.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
사업장폐기물배출자(2호)
2789 
지정폐기물배출자관리
1576 
사업장폐기물배출자(2-2호)
 
1

Length

Max length15
Median length13
Mean length11.917545
Min length10

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row사업장폐기물배출자(2-2호)
2nd row사업장폐기물배출자(2호)
3rd row사업장폐기물배출자(2호)
4th row사업장폐기물배출자(2호)
5th row사업장폐기물배출자(2호)

Common Values

ValueCountFrequency (%)
사업장폐기물배출자(2호) 2789
63.9%
지정폐기물배출자관리 1576
36.1%
사업장폐기물배출자(2-2호) 1
 
< 0.1%

Length

2023-12-12T22:28:48.424539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:28:48.679435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장폐기물배출자(2호 2789
63.9%
지정폐기물배출자관리 1576
36.1%
사업장폐기물배출자(2-2호 1
 
< 0.1%

상호
Text

Distinct1410
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-12-12T22:28:49.112005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length8.8293633
Min length1

Characters and Unicode

Total characters38549
Distinct characters532
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique515 ?
Unique (%)11.8%

Sample

1st row(주)한국씨엔에스팜
2nd row세경산업(주)음성공장
3rd row세경산업(주)음성공장
4th row(주)도원이엔씨
5th row다시쓰는세상
ValueCountFrequency (%)
주식회사 188
 
3.6%
음성공장 104
 
2.0%
무진환경(주 41
 
0.8%
주)오뚜기 39
 
0.7%
에이치디현대에너지솔루션(주 38
 
0.7%
음성지점 32
 
0.6%
제2공장 28
 
0.5%
대소공장 25
 
0.5%
씨제이푸드빌(주 23
 
0.4%
주)디비하이텍 21
 
0.4%
Other values (1471) 4715
89.7%
2023-12-12T22:28:50.266166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3000
 
7.8%
) 2828
 
7.3%
( 2821
 
7.3%
965
 
2.5%
913
 
2.4%
768
 
2.0%
643
 
1.7%
640
 
1.7%
637
 
1.7%
611
 
1.6%
Other values (522) 24723
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31496
81.7%
Close Punctuation 2828
 
7.3%
Open Punctuation 2821
 
7.3%
Space Separator 913
 
2.4%
Uppercase Letter 264
 
0.7%
Decimal Number 138
 
0.4%
Other Punctuation 57
 
0.1%
Lowercase Letter 30
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3000
 
9.5%
965
 
3.1%
768
 
2.4%
643
 
2.0%
640
 
2.0%
637
 
2.0%
611
 
1.9%
600
 
1.9%
541
 
1.7%
529
 
1.7%
Other values (481) 22562
71.6%
Uppercase Letter
ValueCountFrequency (%)
K 30
11.4%
T 27
10.2%
Y 24
9.1%
S 24
9.1%
D 22
 
8.3%
R 21
 
8.0%
C 18
 
6.8%
L 16
 
6.1%
B 13
 
4.9%
G 12
 
4.5%
Other values (11) 57
21.6%
Decimal Number
ValueCountFrequency (%)
2 85
61.6%
1 25
 
18.1%
3 13
 
9.4%
5 9
 
6.5%
9 5
 
3.6%
8 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
a 7
23.3%
n 7
23.3%
s 7
23.3%
d 7
23.3%
p 1
 
3.3%
c 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 26
45.6%
. 20
35.1%
· 7
 
12.3%
/ 4
 
7.0%
Close Punctuation
ValueCountFrequency (%)
) 2828
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2821
100.0%
Space Separator
ValueCountFrequency (%)
913
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31489
81.7%
Common 6759
 
17.5%
Latin 294
 
0.8%
Han 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3000
 
9.5%
965
 
3.1%
768
 
2.4%
643
 
2.0%
640
 
2.0%
637
 
2.0%
611
 
1.9%
600
 
1.9%
541
 
1.7%
529
 
1.7%
Other values (480) 22555
71.6%
Latin
ValueCountFrequency (%)
K 30
 
10.2%
T 27
 
9.2%
Y 24
 
8.2%
S 24
 
8.2%
D 22
 
7.5%
R 21
 
7.1%
C 18
 
6.1%
L 16
 
5.4%
B 13
 
4.4%
G 12
 
4.1%
Other values (17) 87
29.6%
Common
ValueCountFrequency (%)
) 2828
41.8%
( 2821
41.7%
913
 
13.5%
2 85
 
1.3%
& 26
 
0.4%
1 25
 
0.4%
. 20
 
0.3%
3 13
 
0.2%
5 9
 
0.1%
· 7
 
0.1%
Other values (4) 12
 
0.2%
Han
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31489
81.7%
ASCII 7046
 
18.3%
None 7
 
< 0.1%
CJK 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3000
 
9.5%
965
 
3.1%
768
 
2.4%
643
 
2.0%
640
 
2.0%
637
 
2.0%
611
 
1.9%
600
 
1.9%
541
 
1.7%
529
 
1.7%
Other values (480) 22555
71.6%
ASCII
ValueCountFrequency (%)
) 2828
40.1%
( 2821
40.0%
913
 
13.0%
2 85
 
1.2%
K 30
 
0.4%
T 27
 
0.4%
& 26
 
0.4%
1 25
 
0.4%
Y 24
 
0.3%
S 24
 
0.3%
Other values (30) 243
 
3.4%
None
ValueCountFrequency (%)
· 7
100.0%
CJK
ValueCountFrequency (%)
7
100.0%

전화번호
Text

MISSING 

Distinct908
Distinct (%)27.7%
Missing1091
Missing (%)25.0%
Memory size34.2 KiB
2023-12-12T22:28:50.558548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.991145
Min length9

Characters and Unicode

Total characters39271
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

Unique295 ?
Unique (%)9.0%

Sample

1st row043-877-0671
2nd row043-883-9633
3rd row043-882-7794
4th row043-882-7794
5th row1522-2201
ValueCountFrequency (%)
043-881-7994 41
 
1.3%
043-535-7321 38
 
1.2%
043-871-6725 38
 
1.2%
043-883-8800 26
 
0.8%
043-880-1200 24
 
0.7%
043-882-3800 23
 
0.7%
043-878-2983 21
 
0.6%
043-879-5364 21
 
0.6%
043-877-8419 20
 
0.6%
043-878-7582 20
 
0.6%
Other values (898) 3003
91.7%
2023-12-12T22:28:51.074163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 6540
16.7%
0 5648
14.4%
8 5536
14.1%
3 5229
13.3%
4 4362
11.1%
7 3503
8.9%
1 2303
 
5.9%
2 2028
 
5.2%
5 1833
 
4.7%
9 1225
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 32731
83.3%
Dash Punctuation 6540
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5648
17.3%
8 5536
16.9%
3 5229
16.0%
4 4362
13.3%
7 3503
10.7%
1 2303
7.0%
2 2028
 
6.2%
5 1833
 
5.6%
9 1225
 
3.7%
6 1064
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 6540
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 39271
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 6540
16.7%
0 5648
14.4%
8 5536
14.1%
3 5229
13.3%
4 4362
11.1%
7 3503
8.9%
1 2303
 
5.9%
2 2028
 
5.2%
5 1833
 
4.7%
9 1225
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 39271
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 6540
16.7%
0 5648
14.4%
8 5536
14.1%
3 5229
13.3%
4 4362
11.1%
7 3503
8.9%
1 2303
 
5.9%
2 2028
 
5.2%
5 1833
 
4.7%
9 1225
 
3.1%
Distinct181
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-12-12T22:28:51.482522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length66
Mean length13.818598
Min length1

Characters and Unicode

Total characters60332
Distinct characters270
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)1.1%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row폐합성수지류(폐염화비닐수지류는 제외한다)
3rd row폐합성수지류(폐염화비닐수지류는 제외한다)
4th row폐합성수지류(폐염화비닐수지류는 제외한다)
5th row폐콘크리트
ValueCountFrequency (%)
1288
 
12.2%
밖의 1224
 
11.6%
제외한다 1178
 
11.2%
폐합성수지류(폐염화비닐수지류는 1015
 
9.6%
폐수처리오니 283
 
2.7%
폐유 226
 
2.1%
폐유기용제 198
 
1.9%
광물류 167
 
1.6%
말한다 158
 
1.5%
윤활유 143
 
1.4%
Other values (276) 4642
44.1%
2023-12-12T22:28:52.223418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6391
 
10.6%
4517
 
7.5%
2820
 
4.7%
2565
 
4.3%
2393
 
4.0%
1854
 
3.1%
1740
 
2.9%
1541
 
2.6%
1536
 
2.5%
1454
 
2.4%
Other values (260) 33521
55.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50374
83.5%
Space Separator 6391
 
10.6%
Close Punctuation 1417
 
2.3%
Open Punctuation 1417
 
2.3%
Connector Punctuation 295
 
0.5%
Lowercase Letter 270
 
0.4%
Decimal Number 147
 
0.2%
Other Punctuation 20
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4517
 
9.0%
2820
 
5.6%
2565
 
5.1%
2393
 
4.8%
1854
 
3.7%
1740
 
3.5%
1541
 
3.1%
1536
 
3.0%
1454
 
2.9%
1431
 
2.8%
Other values (236) 28523
56.6%
Lowercase Letter
ValueCountFrequency (%)
e 90
33.3%
a 45
16.7%
g 44
16.3%
s 44
16.3%
r 44
16.3%
l 1
 
0.4%
t 1
 
0.4%
h 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
2 61
41.5%
0 44
29.9%
1 22
 
15.0%
8 19
 
12.9%
3 1
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 1354
95.6%
] 44
 
3.1%
19
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 1354
95.6%
[ 44
 
3.1%
19
 
1.3%
Other Punctuation
ValueCountFrequency (%)
· 18
90.0%
. 2
 
10.0%
Space Separator
ValueCountFrequency (%)
6391
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 295
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50374
83.5%
Common 9687
 
16.1%
Latin 271
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4517
 
9.0%
2820
 
5.6%
2565
 
5.1%
2393
 
4.8%
1854
 
3.7%
1740
 
3.5%
1541
 
3.1%
1536
 
3.0%
1454
 
2.9%
1431
 
2.8%
Other values (236) 28523
56.6%
Common
ValueCountFrequency (%)
6391
66.0%
) 1354
 
14.0%
( 1354
 
14.0%
_ 295
 
3.0%
2 61
 
0.6%
0 44
 
0.5%
] 44
 
0.5%
[ 44
 
0.5%
1 22
 
0.2%
8 19
 
0.2%
Other values (5) 59
 
0.6%
Latin
ValueCountFrequency (%)
e 90
33.2%
a 45
16.6%
g 44
16.2%
s 44
16.2%
r 44
16.2%
l 1
 
0.4%
t 1
 
0.4%
C 1
 
0.4%
h 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50000
82.9%
ASCII 9902
 
16.4%
Compat Jamo 374
 
0.6%
None 56
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6391
64.5%
) 1354
 
13.7%
( 1354
 
13.7%
_ 295
 
3.0%
e 90
 
0.9%
2 61
 
0.6%
a 45
 
0.5%
g 44
 
0.4%
0 44
 
0.4%
s 44
 
0.4%
Other values (11) 180
 
1.8%
Hangul
ValueCountFrequency (%)
4517
 
9.0%
2820
 
5.6%
2565
 
5.1%
2393
 
4.8%
1854
 
3.7%
1740
 
3.5%
1541
 
3.1%
1536
 
3.1%
1454
 
2.9%
1431
 
2.9%
Other values (235) 28149
56.3%
Compat Jamo
ValueCountFrequency (%)
374
100.0%
None
ValueCountFrequency (%)
19
33.9%
19
33.9%
· 18
32.1%

배출량(톤)
Real number (ℝ)

ZEROS 

Distinct337
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352.09269
Minimum0
Maximum45000
Zeros168
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size38.5 KiB
2023-12-12T22:28:52.473024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.024
Q12.4
median36
Q3180
95-th percentile1500
Maximum45000
Range45000
Interquartile range (IQR)177.6

Descriptive statistics

Standard deviation1465.5289
Coefficient of variation (CV)4.1623385
Kurtosis294.44624
Mean352.09269
Median Absolute Deviation (MAD)35.82
Skewness13.843535
Sum1537236.7
Variance2147775.1
MonotonicityNot monotonic
2023-12-12T22:28:52.690012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60.0 235
 
5.4%
120.0 178
 
4.1%
0.0 168
 
3.8%
0.12 156
 
3.6%
100.0 138
 
3.2%
50.0 124
 
2.8%
12.0 110
 
2.5%
30.0 107
 
2.5%
1.2 102
 
2.3%
36.0 97
 
2.2%
Other values (327) 2951
67.6%
ValueCountFrequency (%)
0.0 168
3.8%
0.0002 1
 
< 0.1%
0.001 7
 
0.2%
0.002 8
 
0.2%
0.0022 1
 
< 0.1%
0.005 2
 
< 0.1%
0.006 2
 
< 0.1%
0.007 2
 
< 0.1%
0.01 3
 
0.1%
0.012 17
 
0.4%
ValueCountFrequency (%)
45000.0 1
 
< 0.1%
30000.0 1
 
< 0.1%
24000.0 2
< 0.1%
18000.0 1
 
< 0.1%
16936.0 1
 
< 0.1%
16400.0 1
 
< 0.1%
16000.0 2
< 0.1%
15000.0 1
 
< 0.1%
12000.0 4
0.1%
10800.0 3
0.1%
Distinct929
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-12-12T22:28:53.018280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length22
Mean length6.6259734
Min length1

Characters and Unicode

Total characters28929
Distinct characters339
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

Unique463 ?
Unique (%)10.6%

Sample

1st row예당스틸
2nd row원광종합개발(주)
3rd row원광종합개발(주)
4th row무진환경(주)_ 세운산업(주)
5th row다시쓰는세상
ValueCountFrequency (%)
메디코청호 212
 
5.2%
미래이.에스(주 154
 
3.8%
주)금호이에스 104
 
2.6%
무진환경(주 76
 
1.9%
주)삼우 65
 
1.6%
주)제일상사 49
 
1.2%
우리산업 44
 
1.1%
미래이에스(주 43
 
1.1%
생거환경 42
 
1.0%
주)그린환경산업 41
 
1.0%
Other values (930) 3236
79.6%
2023-12-12T22:28:53.551359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2890
 
10.0%
) 2804
 
9.7%
( 2803
 
9.7%
1061
 
3.7%
947
 
3.3%
908
 
3.1%
717
 
2.5%
707
 
2.4%
704
 
2.4%
585
 
2.0%
Other values (329) 14803
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22276
77.0%
Close Punctuation 2804
 
9.7%
Open Punctuation 2803
 
9.7%
Space Separator 563
 
1.9%
Other Punctuation 184
 
0.6%
Connector Punctuation 159
 
0.5%
Uppercase Letter 62
 
0.2%
Lowercase Letter 61
 
0.2%
Dash Punctuation 12
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2890
 
13.0%
1061
 
4.8%
947
 
4.3%
908
 
4.1%
717
 
3.2%
707
 
3.2%
704
 
3.2%
585
 
2.6%
410
 
1.8%
406
 
1.8%
Other values (295) 12941
58.1%
Uppercase Letter
ValueCountFrequency (%)
S 14
22.6%
E 12
19.4%
T 9
14.5%
R 5
 
8.1%
C 4
 
6.5%
N 4
 
6.5%
H 2
 
3.2%
M 2
 
3.2%
G 2
 
3.2%
K 2
 
3.2%
Other values (6) 6
9.7%
Lowercase Letter
ValueCountFrequency (%)
e 19
31.1%
c 18
29.5%
o 18
29.5%
k 2
 
3.3%
s 2
 
3.3%
n 1
 
1.6%
g 1
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 171
92.9%
· 11
 
6.0%
& 2
 
1.1%
Decimal Number
ValueCountFrequency (%)
2 2
66.7%
9 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2804
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2803
100.0%
Space Separator
ValueCountFrequency (%)
563
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 159
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22278
77.0%
Common 6528
 
22.6%
Latin 123
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2890
 
13.0%
1061
 
4.8%
947
 
4.3%
908
 
4.1%
717
 
3.2%
707
 
3.2%
704
 
3.2%
585
 
2.6%
410
 
1.8%
406
 
1.8%
Other values (296) 12943
58.1%
Latin
ValueCountFrequency (%)
e 19
15.4%
c 18
14.6%
o 18
14.6%
S 14
11.4%
E 12
9.8%
T 9
7.3%
R 5
 
4.1%
C 4
 
3.3%
N 4
 
3.3%
H 2
 
1.6%
Other values (13) 18
14.6%
Common
ValueCountFrequency (%)
) 2804
43.0%
( 2803
42.9%
563
 
8.6%
. 171
 
2.6%
_ 159
 
2.4%
- 12
 
0.2%
· 11
 
0.2%
2 2
 
< 0.1%
& 2
 
< 0.1%
9 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22276
77.0%
ASCII 6640
 
23.0%
None 13
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2890
 
13.0%
1061
 
4.8%
947
 
4.3%
908
 
4.1%
717
 
3.2%
707
 
3.2%
704
 
3.2%
585
 
2.6%
410
 
1.8%
406
 
1.8%
Other values (295) 12941
58.1%
ASCII
ValueCountFrequency (%)
) 2804
42.2%
( 2803
42.2%
563
 
8.5%
. 171
 
2.6%
_ 159
 
2.4%
e 19
 
0.3%
c 18
 
0.3%
o 18
 
0.3%
S 14
 
0.2%
- 12
 
0.2%
Other values (22) 59
 
0.9%
None
ValueCountFrequency (%)
· 11
84.6%
2
 
15.4%
Distinct1059
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-12-12T22:28:53.860934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length7.3082913
Min length1

Characters and Unicode

Total characters31908
Distinct characters366
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique577 ?
Unique (%)13.2%

Sample

1st row(주)충남R&P
2nd row대운개발(주)
3rd row(주)영흥산업환경
4th row무진환경(주)
5th row정도개발(주)
ValueCountFrequency (%)
주)스테리싸이클코리아 148
 
3.4%
조양화학 142
 
3.2%
주)메디코 118
 
2.7%
주)다나에너지솔루션 101
 
2.3%
한일정유 79
 
1.8%
무진환경(주 66
 
1.5%
주)제이에이그린 60
 
1.4%
진주산업(주 60
 
1.4%
주)삼우그린 59
 
1.3%
주)클렌코 55
 
1.3%
Other values (1059) 3502
79.8%
2023-12-12T22:28:54.405861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3369
 
10.6%
( 3186
 
10.0%
) 3186
 
10.0%
1135
 
3.6%
843
 
2.6%
704
 
2.2%
627
 
2.0%
627
 
2.0%
578
 
1.8%
562
 
1.8%
Other values (356) 17091
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25150
78.8%
Open Punctuation 3186
 
10.0%
Close Punctuation 3186
 
10.0%
Space Separator 256
 
0.8%
Uppercase Letter 49
 
0.2%
Decimal Number 29
 
0.1%
Lowercase Letter 23
 
0.1%
Connector Punctuation 11
 
< 0.1%
Dash Punctuation 9
 
< 0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3369
 
13.4%
1135
 
4.5%
843
 
3.4%
704
 
2.8%
627
 
2.5%
627
 
2.5%
578
 
2.3%
562
 
2.2%
541
 
2.2%
540
 
2.1%
Other values (321) 15624
62.1%
Uppercase Letter
ValueCountFrequency (%)
R 9
18.4%
S 6
12.2%
G 6
12.2%
T 4
8.2%
C 3
 
6.1%
M 3
 
6.1%
N 3
 
6.1%
K 3
 
6.1%
P 2
 
4.1%
I 2
 
4.1%
Other values (5) 8
16.3%
Lowercase Letter
ValueCountFrequency (%)
e 8
34.8%
a 2
 
8.7%
g 2
 
8.7%
i 2
 
8.7%
k 2
 
8.7%
s 2
 
8.7%
n 1
 
4.3%
r 1
 
4.3%
c 1
 
4.3%
o 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
2 26
89.7%
1 3
 
10.3%
Other Punctuation
ValueCountFrequency (%)
& 7
77.8%
. 2
 
22.2%
Open Punctuation
ValueCountFrequency (%)
( 3186
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3186
100.0%
Space Separator
ValueCountFrequency (%)
256
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25150
78.8%
Common 6686
 
21.0%
Latin 72
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3369
 
13.4%
1135
 
4.5%
843
 
3.4%
704
 
2.8%
627
 
2.5%
627
 
2.5%
578
 
2.3%
562
 
2.2%
541
 
2.2%
540
 
2.1%
Other values (321) 15624
62.1%
Latin
ValueCountFrequency (%)
R 9
 
12.5%
e 8
 
11.1%
S 6
 
8.3%
G 6
 
8.3%
T 4
 
5.6%
C 3
 
4.2%
M 3
 
4.2%
N 3
 
4.2%
K 3
 
4.2%
P 2
 
2.8%
Other values (16) 25
34.7%
Common
ValueCountFrequency (%)
( 3186
47.7%
) 3186
47.7%
256
 
3.8%
2 26
 
0.4%
_ 11
 
0.2%
- 9
 
0.1%
& 7
 
0.1%
1 3
 
< 0.1%
. 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25146
78.8%
ASCII 6758
 
21.2%
Compat Jamo 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3369
 
13.4%
1135
 
4.5%
843
 
3.4%
704
 
2.8%
627
 
2.5%
627
 
2.5%
578
 
2.3%
562
 
2.2%
541
 
2.2%
540
 
2.1%
Other values (317) 15620
62.1%
ASCII
ValueCountFrequency (%)
( 3186
47.1%
) 3186
47.1%
256
 
3.8%
2 26
 
0.4%
_ 11
 
0.2%
R 9
 
0.1%
- 9
 
0.1%
e 8
 
0.1%
& 7
 
0.1%
S 6
 
0.1%
Other values (25) 54
 
0.8%
Compat Jamo
ValueCountFrequency (%)
1
25.0%
1
25.0%
1
25.0%
1
25.0%

처리방법
Categorical

HIGH CORRELATION 

Distinct45
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
중간처분(일반소각)
1150 
재활용(중간가공폐기물 제조)
668 
재활용(농업생산활동에 사용)
335 
매립(민간관리형매립시설)
254 
재활용(원료 제조)
248 
Other values (40)
1711 

Length

Max length19
Median length17
Mean length10.980073
Min length1

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row재활용(원료 제조)
2nd row재활용(연료·고형연료제품 제조)
3rd row중간처분(일반소각)
4th row재활용(중간가공폐기물 제조)
5th row중간처분(파쇄 및 분쇄)

Common Values

ValueCountFrequency (%)
중간처분(일반소각) 1150
26.3%
재활용(중간가공폐기물 제조) 668
15.3%
재활용(농업생산활동에 사용) 335
 
7.7%
매립(민간관리형매립시설) 254
 
5.8%
재활용(원료 제조) 248
 
5.7%
재활용(연료·고형연료제품 제조) 220
 
5.0%
재활용(직접 제품제조) 165
 
3.8%
고온열분해 150
 
3.4%
재활용(기타) 138
 
3.2%
중간처분(파쇄.분쇄) 114
 
2.6%
Other values (35) 924
21.2%

Length

2023-12-12T22:28:54.616873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
중간처분(일반소각 1150
18.7%
제조 1136
18.5%
재활용(중간가공폐기물 668
10.9%
사용 483
 
7.9%
재활용(농업생산활동에 335
 
5.5%
매립(민간관리형매립시설 254
 
4.1%
재활용(원료 248
 
4.0%
재활용(연료·고형연료제품 220
 
3.6%
재활용(직접 196
 
3.2%
제품제조 165
 
2.7%
Other values (41) 1291
21.0%
Distinct898
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-12-12T22:28:55.131784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length41
Mean length18.053825
Min length1

Characters and Unicode

Total characters78823
Distinct characters214
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)6.5%

Sample

1st row충청북도 음성군 원남면 상경로 16
2nd row충청북도 음성군 생극면 생극산단길 44
3rd row충청북도 음성군 생극면 생극산단길 44
4th row충청북도 음성군 감곡면 원당길112번길 15-66
5th row충청북도 음성군 감곡면 감노로 511-5
ValueCountFrequency (%)
충청북도 3379
19.5%
음성군 3372
19.4%
대소면 754
 
4.3%
삼성면 712
 
4.1%
금왕읍 643
 
3.7%
맹동면 412
 
2.4%
원남면 232
 
1.3%
생극면 210
 
1.2%
대금로 195
 
1.1%
감곡면 192
 
1.1%
Other values (982) 7245
41.8%
2023-12-12T22:28:55.806481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14943
19.0%
4505
 
5.7%
3627
 
4.6%
3572
 
4.5%
3411
 
4.3%
3396
 
4.3%
3385
 
4.3%
3381
 
4.3%
2813
 
3.6%
1 2708
 
3.4%
Other values (204) 33082
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48536
61.6%
Space Separator 14943
 
19.0%
Decimal Number 13561
 
17.2%
Dash Punctuation 1216
 
1.5%
Connector Punctuation 208
 
0.3%
Open Punctuation 146
 
0.2%
Close Punctuation 146
 
0.2%
Uppercase Letter 31
 
< 0.1%
Math Symbol 29
 
< 0.1%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4505
 
9.3%
3627
 
7.5%
3572
 
7.4%
3411
 
7.0%
3396
 
7.0%
3385
 
7.0%
3381
 
7.0%
2813
 
5.8%
2618
 
5.4%
1699
 
3.5%
Other values (183) 16129
33.2%
Decimal Number
ValueCountFrequency (%)
1 2708
20.0%
2 1971
14.5%
3 1536
11.3%
7 1228
9.1%
4 1197
8.8%
5 1146
8.5%
6 1108
8.2%
9 896
 
6.6%
0 892
 
6.6%
8 879
 
6.5%
Uppercase Letter
ValueCountFrequency (%)
C 14
45.2%
A 7
22.6%
D 5
 
16.1%
S 5
 
16.1%
Space Separator
ValueCountFrequency (%)
14943
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1216
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 208
100.0%
Open Punctuation
ValueCountFrequency (%)
( 146
100.0%
Close Punctuation
ValueCountFrequency (%)
) 146
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48536
61.6%
Common 30256
38.4%
Latin 31
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4505
 
9.3%
3627
 
7.5%
3572
 
7.4%
3411
 
7.0%
3396
 
7.0%
3385
 
7.0%
3381
 
7.0%
2813
 
5.8%
2618
 
5.4%
1699
 
3.5%
Other values (183) 16129
33.2%
Common
ValueCountFrequency (%)
14943
49.4%
1 2708
 
9.0%
2 1971
 
6.5%
3 1536
 
5.1%
7 1228
 
4.1%
- 1216
 
4.0%
4 1197
 
4.0%
5 1146
 
3.8%
6 1108
 
3.7%
9 896
 
3.0%
Other values (7) 2307
 
7.6%
Latin
ValueCountFrequency (%)
C 14
45.2%
A 7
22.6%
D 5
 
16.1%
S 5
 
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48536
61.6%
ASCII 30287
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14943
49.3%
1 2708
 
8.9%
2 1971
 
6.5%
3 1536
 
5.1%
7 1228
 
4.1%
- 1216
 
4.0%
4 1197
 
4.0%
5 1146
 
3.8%
6 1108
 
3.7%
9 896
 
3.0%
Other values (11) 2338
 
7.7%
Hangul
ValueCountFrequency (%)
4505
 
9.3%
3627
 
7.5%
3572
 
7.4%
3411
 
7.0%
3396
 
7.0%
3385
 
7.0%
3381
 
7.0%
2813
 
5.8%
2618
 
5.4%
1699
 
3.5%
Other values (183) 16129
33.2%
Distinct1204
Distinct (%)27.6%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-12-12T22:28:56.361488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length41
Mean length20.832341
Min length1

Characters and Unicode

Total characters90954
Distinct characters197
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique438 ?
Unique (%)10.0%

Sample

1st row충청북도 음성군 원남면 구안리 135-3
2nd row충청북도 음성군 생극면 신양리 880
3rd row충청북도 음성군 생극면 신양리 880
4th row충청북도 음성군 감곡면 원당리 344
5th row충청북도 음성군 감곡면 월정리 497
ValueCountFrequency (%)
충청북도 3930
19.4%
음성군 3921
19.4%
대소면 869
 
4.3%
금왕읍 860
 
4.3%
삼성면 712
 
3.5%
맹동면 389
 
1.9%
음성읍 280
 
1.4%
대풍리 276
 
1.4%
감곡면 276
 
1.4%
생극면 225
 
1.1%
Other values (1243) 8474
41.9%
2023-12-12T22:28:57.405753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21306
23.4%
5327
 
5.9%
4262
 
4.7%
4050
 
4.5%
4010
 
4.4%
3957
 
4.4%
3943
 
4.3%
3937
 
4.3%
3926
 
4.3%
2784
 
3.1%
Other values (187) 33452
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52895
58.2%
Space Separator 21306
23.4%
Decimal Number 14119
 
15.5%
Dash Punctuation 2486
 
2.7%
Uppercase Letter 56
 
0.1%
Close Punctuation 25
 
< 0.1%
Open Punctuation 25
 
< 0.1%
Math Symbol 21
 
< 0.1%
Connector Punctuation 11
 
< 0.1%
Other Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5327
 
10.1%
4262
 
8.1%
4050
 
7.7%
4010
 
7.6%
3957
 
7.5%
3943
 
7.5%
3937
 
7.4%
3926
 
7.4%
2784
 
5.3%
1316
 
2.5%
Other values (164) 15383
29.1%
Decimal Number
ValueCountFrequency (%)
1 2689
19.0%
2 1753
12.4%
4 1603
11.4%
5 1524
10.8%
3 1512
10.7%
7 1205
8.5%
6 1059
 
7.5%
8 996
 
7.1%
0 964
 
6.8%
9 814
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 21
37.5%
L 21
37.5%
C 14
25.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
33.3%
k 1
33.3%
t 1
33.3%
Space Separator
ValueCountFrequency (%)
21306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2486
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 11
100.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52895
58.2%
Common 38000
41.8%
Latin 59
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5327
 
10.1%
4262
 
8.1%
4050
 
7.7%
4010
 
7.6%
3957
 
7.5%
3943
 
7.5%
3937
 
7.4%
3926
 
7.4%
2784
 
5.3%
1316
 
2.5%
Other values (164) 15383
29.1%
Common
ValueCountFrequency (%)
21306
56.1%
1 2689
 
7.1%
- 2486
 
6.5%
2 1753
 
4.6%
4 1603
 
4.2%
5 1524
 
4.0%
3 1512
 
4.0%
7 1205
 
3.2%
6 1059
 
2.8%
8 996
 
2.6%
Other values (7) 1867
 
4.9%
Latin
ValueCountFrequency (%)
B 21
35.6%
L 21
35.6%
C 14
23.7%
s 1
 
1.7%
k 1
 
1.7%
t 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52895
58.2%
ASCII 38059
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21306
56.0%
1 2689
 
7.1%
- 2486
 
6.5%
2 1753
 
4.6%
4 1603
 
4.2%
5 1524
 
4.0%
3 1512
 
4.0%
7 1205
 
3.2%
6 1059
 
2.8%
8 996
 
2.6%
Other values (13) 1926
 
5.1%
Hangul
ValueCountFrequency (%)
5327
 
10.1%
4262
 
8.1%
4050
 
7.7%
4010
 
7.6%
3957
 
7.5%
3943
 
7.5%
3937
 
7.4%
3926
 
7.4%
2784
 
5.3%
1316
 
2.5%
Other values (164) 15383
29.1%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size34.2 KiB
2023-07-07
4366 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-07
2nd row2023-07-07
3rd row2023-07-07
4th row2023-07-07
5th row2023-07-07

Common Values

ValueCountFrequency (%)
2023-07-07 4366
100.0%

Length

2023-12-12T22:28:57.704364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:28:57.914192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-07 4366
100.0%

Interactions

2023-12-12T22:28:47.438185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:28:58.028720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분배출량(톤)처리방법
업무구분1.0000.0190.788
배출량(톤)0.0191.0000.442
처리방법0.7880.4421.000
2023-12-12T22:28:58.215250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리방법업무구분
처리방법1.0000.530
업무구분0.5301.000
2023-12-12T22:28:58.400293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
배출량(톤)업무구분처리방법
배출량(톤)1.0000.0130.194
업무구분0.0131.0000.530
처리방법0.1940.5301.000

Missing values

2023-12-12T22:28:47.693805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:28:48.070667image/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

업무구분상호전화번호폐기물 종류배출량(톤)운반자처리업소명처리방법사업장도로명주소사업장지번주소기준일자
0사업장폐기물배출자(2-2호)(주)한국씨엔에스팜<NA>폐합성수지류(폐염화비닐수지류는 제외한다)15.0예당스틸(주)충남R&P재활용(원료 제조)충청북도 음성군 원남면 상경로 16충청북도 음성군 원남면 구안리 135-32023-07-07
1사업장폐기물배출자(2호)세경산업(주)음성공장<NA>폐합성수지류(폐염화비닐수지류는 제외한다)100.0원광종합개발(주)대운개발(주)재활용(연료·고형연료제품 제조)충청북도 음성군 생극면 생극산단길 44충청북도 음성군 생극면 신양리 8802023-07-07
2사업장폐기물배출자(2호)세경산업(주)음성공장<NA>폐합성수지류(폐염화비닐수지류는 제외한다)100.0원광종합개발(주)(주)영흥산업환경중간처분(일반소각)충청북도 음성군 생극면 생극산단길 44충청북도 음성군 생극면 신양리 8802023-07-07
3사업장폐기물배출자(2호)(주)도원이엔씨043-877-0671폐합성수지류(폐염화비닐수지류는 제외한다)2000.0무진환경(주)_ 세운산업(주)무진환경(주)재활용(중간가공폐기물 제조)충청북도 음성군 감곡면 원당길112번길 15-66충청북도 음성군 감곡면 원당리 3442023-07-07
4사업장폐기물배출자(2호)다시쓰는세상<NA>폐콘크리트100.0다시쓰는세상정도개발(주)중간처분(파쇄 및 분쇄)충청북도 음성군 감곡면 감노로 511-5충청북도 음성군 감곡면 월정리 4972023-07-07
5사업장폐기물배출자(2호)다시쓰는세상<NA>건설폐토석100.0다시쓰는세상정도개발(주)중간처분(파쇄.분쇄)충청북도 음성군 감곡면 감노로 511-5충청북도 음성군 감곡면 월정리 4972023-07-07
6사업장폐기물배출자(2호)(주)성안건설043-883-9633폐합성수지류(폐염화비닐수지류는 제외한다)100.0(주)케이디산업(주)중원신화재활용(중간가공폐기물 제조)충청북도 음성군 금왕읍 덕금로 809충청북도 음성군 금왕읍 용계리 333-4 외4필지2023-07-07
7사업장폐기물배출자(2호)(주)제일복층유리043-882-7794폐유리1500.0서울유리산업서울유리산업재활용(원료 제조)충청북도 음성군 삼성면 금일로700번길 156-33충청북도 음성군 삼성면 대정리 662-82023-07-07
8사업장폐기물배출자(2호)(주)제일복층유리043-882-7794폐합성수지류(폐염화비닐수지류는 제외한다)100.0아라한이앤지(주)인천지점아라한이앤지(주)재활용(중간가공폐기물 제조)충청북도 음성군 삼성면 금일로700번길 156-33충청북도 음성군 삼성면 대정리 662-82023-07-07
9사업장폐기물배출자(2호)(재)예수의꽃동네유지재단음성꽃동네사람의연수원<NA>그 밖의 폐기물40.0경기환경에너지(주)경기환경에너지(주)중간처분(일반소각)충청북도 음성군 음성읍 꽃동네길 138충청북도 음성군 음성읍 동음리 945-32023-07-07
업무구분상호전화번호폐기물 종류배출량(톤)운반자처리업소명처리방법사업장도로명주소사업장지번주소기준일자
4356지정폐기물배출자관리3급 한일공업사<NA>그 밖에 달리 분류되지 아니하는 폐유0.36조양화학고온열분해충청북도 음성군 대소면 태생리 87-12023-07-07
4357지정폐기물배출자관리삼성공업사<NA>그 밖에 달리 분류되지 아니하는 폐유0.36조양화학고온열분해충청북도 음성군 삼성면 덕정리 5452023-07-07
4358지정폐기물배출자관리삼성공업사<NA>그 밖의 폐유기용제0.12조양화학고온열분해충청북도 음성군 삼성면 덕정리 5452023-07-07
4359지정폐기물배출자관리삼성공업사<NA>윤활유2.4한일정유정제충청북도 음성군 삼성면 덕정리 5452023-07-07
4360지정폐기물배출자관리삼성종합카인테리어<NA>윤활유2.4한일정유정제충청북도 음성군 삼성면 덕정리 602-32023-07-07
4361지정폐기물배출자관리삼성종합카인테리어<NA>그 밖의 폐유기용제0.12조양화학고온열분해충청북도 음성군 삼성면 덕정리 602-32023-07-07
4362지정폐기물배출자관리삼성종합카인테리어<NA>그 밖에 달리 분류되지 아니하는 폐유0.36조양화학고온열분해충청북도 음성군 삼성면 덕정리 602-32023-07-07
4363지정폐기물배출자관리중원카센타<NA>윤활유4.8한일정유정제충청북도 음성군 금왕읍 오선리 1042023-07-07
4364지정폐기물배출자관리중원카센타<NA>그 밖의 폐유기용제0.12조양화학고온열분해충청북도 음성군 금왕읍 오선리 1042023-07-07
4365지정폐기물배출자관리중원카센타<NA>그 밖에 달리 분류되지 아니하는 폐유0.72조양화학고온열분해충청북도 음성군 금왕읍 오선리 1042023-07-07

Duplicate rows

Most frequently occurring

업무구분상호전화번호폐기물 종류배출량(톤)운반자처리업소명처리방법사업장도로명주소사업장지번주소기준일자# duplicates
62지정폐기물배출자관리차차차폐차산업043-882-0877그 밖의 광물류0.6(주)남양에너지신대한정유산업(주)중간처분(일반소각)충청북도 음성군 대소면 삼정리 471-12023-07-073
64지정폐기물배출자관리차차차폐차산업043-882-0877할로겐족유기용제4.8(주)남양에너지(주)남양에너지재활용(정제)충청북도 음성군 대소면 삼정리 471-12023-07-073
0사업장폐기물배출자(2호)(주)미가(음성지점)043-883-1210그 밖의 폐기물24.0(주)클렌코(주)클렌코중간처분(일반소각)충청북도 음성군 삼성면 덕정로144번길 114-17충청북도 음성군 삼성면 덕정리 938-22023-07-072
1사업장폐기물배출자(2호)(주)사옹원 대소공장043-883-0100폐식용유(식용을 목적으로 식품 재료와 원료를 제조ㆍ조리ㆍ가공하거나 식용유를 유통ㆍ사용 또는 음식물류 폐기물을 처리하는 과정에서 발생하는 기름을 말한다)100.0(주)그린서림(주)그린서림재활용(연료·고형연료제품 제조)충청북도 음성군 대소면 한삼로153번길 76-17충청북도 음성군 대소면 삼정리 5002023-07-072
2사업장폐기물배출자(2호)(주)중원신화043-872-4589폐합성수지류(폐염화비닐수지류는 제외한다)6000.0(주)유성엔텍(주)유성엔텍재활용(중간가공폐기물 제조)충청북도 음성군 원남면 상경로 4충청북도 음성군 원남면 구안리 117-22023-07-072
3사업장폐기물배출자(2호)제일화학공업(주)043-881-4851폐합성수지류(폐염화비닐수지류는 제외한다)60.0(주)이솔루션(주)다나에너지솔루션중간처분(일반소각)충청북도 음성군 삼성면 천평길 65충청북도 음성군 삼성면 천평리 117-22023-07-072
4지정폐기물배출자관리(재)예수의꽃동네유지재단 인곡자애병원043-879-0302병리계폐기물1.2생거환경(주)아림환경중간처분(일반소각)충청북도 음성군 맹동면 꽃동네길 37충청북도 음성군 맹동면 인곡리 67-62023-07-072
5지정폐기물배출자관리(재)예수의꽃동네유지재단 인곡자애병원043-879-0302생물ㆍ화학폐기물0.6생거환경(주)아림환경중간처분(일반소각)충청북도 음성군 맹동면 꽃동네길 37충청북도 음성군 맹동면 인곡리 67-62023-07-072
6지정폐기물배출자관리(재)예수의꽃동네유지재단 인곡자애병원043-879-0302조직물류폐기물(태반을 재활용하는 경우는 제외한다)0.6생거환경(주)아림환경중간처분(일반소각)충청북도 음성군 맹동면 꽃동네길 37충청북도 음성군 맹동면 인곡리 67-62023-07-072
7지정폐기물배출자관리(재)예수의꽃동네유지재단 인곡자애병원043-879-0302혈액오염폐기물1.2생거환경(주)아림환경중간처분(일반소각)충청북도 음성군 맹동면 꽃동네길 37충청북도 음성군 맹동면 인곡리 67-62023-07-072