Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells302
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory556.6 KiB
Average record size in memory57.0 B

Variable types

Text4
Categorical1
Numeric1

Dataset

Description올바로시스템에서 운영하는 폐기물 중 사업장폐기물에 대한 정보현황(기초시군구, 업체명, 폐기물구분 등)입니다.
Author한국환경공단
URLhttps://www.data.go.kr/data/15126438/fileData.do

Alerts

연락처 has 302 (3.0%) missing valuesMissing
연간배출량(톤) is highly skewed (γ1 = 87.53366595)Skewed

Reproduction

Analysis started2024-03-15 02:13:20.430270
Analysis finished2024-03-15 02:13:22.525413
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기초시군구(관할관청)
Text

Distinct270
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T11:13:23.420312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length8.4167
Min length5

Characters and Unicode

Total characters84167
Distinct characters152
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row광주광역시 서구
2nd row충청북도 충주시
3rd row경기도 시흥시
4th row충청남도 홍성군
5th row울산광역시 북구
ValueCountFrequency (%)
경기도 1575
 
8.6%
부산광역시 697
 
3.8%
경상북도 684
 
3.7%
경상남도 620
 
3.4%
한강유역환경청 570
 
3.1%
충청북도 560
 
3.0%
충청남도 556
 
3.0%
낙동강유역환경청 540
 
2.9%
남구 525
 
2.9%
전라남도 459
 
2.5%
Other values (251) 11626
63.1%
2024-03-15T11:13:24.974587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8412
 
10.0%
시 6861
 
8.2%
경 5250
 
6.2%
도 5242
 
6.2%
역 3954
 
4.7%
청 3716
 
4.4%
구 3656
 
4.3%
광 2682
 
3.2%
산 2472
 
2.9%
남 2404
 
2.9%
Other values (142) 39518
47.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75755
90.0%
Space Separator 8412
 
10.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6861
 
9.1%
경 5250
 
6.9%
도 5242
 
6.9%
역 3954
 
5.2%
청 3716
 
4.9%
구 3656
 
4.8%
광 2682
 
3.5%
산 2472
 
3.3%
남 2404
 
3.2%
환 2178
 
2.9%
Other values (141) 37340
49.3%
Space Separator
ValueCountFrequency (%)
8412
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75755
90.0%
Common 8412
 
10.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6861
 
9.1%
경 5250
 
6.9%
도 5242
 
6.9%
역 3954
 
5.2%
청 3716
 
4.9%
구 3656
 
4.8%
광 2682
 
3.5%
산 2472
 
3.3%
남 2404
 
3.2%
환 2178
 
2.9%
Other values (141) 37340
49.3%
Common
ValueCountFrequency (%)
8412
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75755
90.0%
ASCII 8412
 
10.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8412
100.0%
Hangul
ValueCountFrequency (%)
시 6861
 
9.1%
경 5250
 
6.9%
도 5242
 
6.9%
역 3954
 
5.2%
청 3716
 
4.9%
구 3656
 
4.8%
광 2682
 
3.5%
산 2472
 
3.3%
남 2404
 
3.2%
환 2178
 
2.9%
Other values (141) 37340
49.3%

업체명
Text

Distinct3979
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T11:13:25.640367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length10.4777
Min length2

Characters and Unicode

Total characters104777
Distinct characters696
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1712 ?
Unique (%)17.1%

Sample

1st row(주)이마트광주점
2nd row(주)티엔피
3rd row현대정비가맹점시화협동조합
4th row(주)신우에프에스 홍성점
5th row현대제철(주)
ValueCountFrequency (%)
주식회사 463
 
3.5%
의료법인 89
 
0.7%
주)엘지화학 68
 
0.5%
주 65
 
0.5%
롯데케미칼 46
 
0.3%
울산공장 43
 
0.3%
주)이마트 43
 
0.3%
2공장 42
 
0.3%
삼성전기(주 35
 
0.3%
홈플러스 34
 
0.3%
Other values (4531) 12313
93.0%
2024-03-15T11:13:26.840520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 7471
 
7.1%
) 6842
 
6.5%
( 6832
 
6.5%
3250
 
3.1%
공 2322
 
2.2%
장 1985
 
1.9%
스 1881
 
1.8%
원 1849
 
1.8%
사 1809
 
1.7%
이 1642
 
1.6%
Other values (686) 68894
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 84829
81.0%
Close Punctuation 6842
 
6.5%
Open Punctuation 6832
 
6.5%
Space Separator 3250
 
3.1%
Uppercase Letter 1164
 
1.1%
Decimal Number 1078
 
1.0%
Lowercase Letter 328
 
0.3%
Dash Punctuation 302
 
0.3%
Other Punctuation 88
 
0.1%
Connector Punctuation 54
 
0.1%
Other values (2) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 7471
 
8.8%
공 2322
 
2.7%
장 1985
 
2.3%
스 1881
 
2.2%
원 1849
 
2.2%
사 1809
 
2.1%
이 1642
 
1.9%
산 1498
 
1.8%
업 1426
 
1.7%
지 1294
 
1.5%
Other values (619) 61652
72.7%
Uppercase Letter
ValueCountFrequency (%)
S 192
16.5%
K 144
12.4%
C 139
11.9%
G 98
 
8.4%
L 87
 
7.5%
M 61
 
5.2%
P 46
 
4.0%
A 46
 
4.0%
N 46
 
4.0%
T 38
 
3.3%
Other values (16) 267
22.9%
Lowercase Letter
ValueCountFrequency (%)
l 65
19.8%
o 44
13.4%
i 40
12.2%
c 27
8.2%
a 27
8.2%
s 20
 
6.1%
p 18
 
5.5%
g 18
 
5.5%
b 17
 
5.2%
t 9
 
2.7%
Other values (11) 43
13.1%
Decimal Number
ValueCountFrequency (%)
2 344
31.9%
1 338
31.4%
0 128
 
11.9%
3 93
 
8.6%
4 55
 
5.1%
5 38
 
3.5%
9 26
 
2.4%
8 22
 
2.0%
6 18
 
1.7%
7 16
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 48
54.5%
. 28
31.8%
/ 12
 
13.6%
Close Punctuation
ValueCountFrequency (%)
) 6842
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6832
100.0%
Space Separator
ValueCountFrequency (%)
3250
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 302
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 84831
81.0%
Common 18454
 
17.6%
Latin 1492
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 7471
 
8.8%
공 2322
 
2.7%
장 1985
 
2.3%
스 1881
 
2.2%
원 1849
 
2.2%
사 1809
 
2.1%
이 1642
 
1.9%
산 1498
 
1.8%
업 1426
 
1.7%
지 1294
 
1.5%
Other values (620) 61654
72.7%
Latin
ValueCountFrequency (%)
S 192
 
12.9%
K 144
 
9.7%
C 139
 
9.3%
G 98
 
6.6%
L 87
 
5.8%
l 65
 
4.4%
M 61
 
4.1%
P 46
 
3.1%
A 46
 
3.1%
N 46
 
3.1%
Other values (37) 568
38.1%
Common
ValueCountFrequency (%)
) 6842
37.1%
( 6832
37.0%
3250
17.6%
2 344
 
1.9%
1 338
 
1.8%
- 302
 
1.6%
0 128
 
0.7%
3 93
 
0.5%
4 55
 
0.3%
_ 54
 
0.3%
Other values (9) 216
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 84829
81.0%
ASCII 19946
 
19.0%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 7471
 
8.8%
공 2322
 
2.7%
장 1985
 
2.3%
스 1881
 
2.2%
원 1849
 
2.2%
사 1809
 
2.1%
이 1642
 
1.9%
산 1498
 
1.8%
업 1426
 
1.7%
지 1294
 
1.5%
Other values (619) 61652
72.7%
ASCII
ValueCountFrequency (%)
) 6842
34.3%
( 6832
34.3%
3250
16.3%
2 344
 
1.7%
1 338
 
1.7%
- 302
 
1.5%
S 192
 
1.0%
K 144
 
0.7%
C 139
 
0.7%
0 128
 
0.6%
Other values (56) 1435
 
7.2%
None
ValueCountFrequency (%)
㈜ 2
100.0%

연락처
Text

MISSING 

Distinct3811
Distinct (%)39.3%
Missing302
Missing (%)3.0%
Memory size156.2 KiB
2024-03-15T11:13:27.812320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length12.027119
Min length9

Characters and Unicode

Total characters116639
Distinct characters15
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1621 ?
Unique (%)16.7%

Sample

1st row062-360-0054
2nd row043-844-1331
3rd row031-497-8702
4th row070-4340-1917
5th row052-280-0145
ValueCountFrequency (%)
043-907-6648 51
 
0.5%
061-680-6526 26
 
0.3%
055-268-9028 23
 
0.2%
052-278-3554 23
 
0.2%
070-8898-3943 23
 
0.2%
032-813-1141 23
 
0.2%
052-226-6447 22
 
0.2%
061-660-7363 22
 
0.2%
061-680-1036 21
 
0.2%
031-200-1536 21
 
0.2%
Other values (3801) 9443
97.4%
2024-03-15T11:13:28.958946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19357
16.6%
0 18637
16.0%
3 11584
9.9%
5 11104
9.5%
1 10688
9.2%
2 9910
8.5%
4 8572
7.3%
6 8064
6.9%
8 6913
 
5.9%
7 6804
 
5.8%
Other values (5) 5006
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 97272
83.4%
Dash Punctuation 19357
 
16.6%
Other Punctuation 9
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18637
19.2%
3 11584
11.9%
5 11104
11.4%
1 10688
11.0%
2 9910
10.2%
4 8572
8.8%
6 8064
8.3%
8 6913
 
7.1%
7 6804
 
7.0%
9 4996
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
/ 2
 
22.2%
. 2
 
22.2%
Dash Punctuation
ValueCountFrequency (%)
- 19357
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116639
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19357
16.6%
0 18637
16.0%
3 11584
9.9%
5 11104
9.5%
1 10688
9.2%
2 9910
8.5%
4 8572
7.3%
6 8064
6.9%
8 6913
 
5.9%
7 6804
 
5.8%
Other values (5) 5006
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116639
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19357
16.6%
0 18637
16.0%
3 11584
9.9%
5 11104
9.5%
1 10688
9.2%
2 9910
8.5%
4 8572
7.3%
6 8064
6.9%
8 6913
 
5.9%
7 6804
 
5.8%
Other values (5) 5006
 
4.3%

폐기물구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
사업장배출시설계폐기물
4123 
<NA>
4119 
사업장생활계폐기물
1758 

Length

Max length11
Median length9
Mean length7.7651
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사업장생활계폐기물
2nd row사업장배출시설계폐기물
3rd row<NA>
4th row사업장배출시설계폐기물
5th row사업장배출시설계폐기물

Common Values

ValueCountFrequency (%)
사업장배출시설계폐기물 4123
41.2%
<NA> 4119
41.2%
사업장생활계폐기물 1758
17.6%

Length

2024-03-15T11:13:29.417505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:13:29.769518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장배출시설계폐기물 4123
41.2%
na 4119
41.2%
사업장생활계폐기물 1758
17.6%

폐기물명
Text

Distinct188
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T11:13:31.371635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length79
Mean length19.1192
Min length2

Characters and Unicode

Total characters191192
Distinct characters302
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)0.3%

Sample

1st row폐합성수지류(폐염화비닐수지류는 제외한다)
2nd row폐수처리오니
3rd row폐오일필터
4th row폐합성수지류(폐염화비닐수지류는 제외한다)
5th row폐활성탄
ValueCountFrequency (%)
밖의 3049
 
9.4%
그 3049
 
9.4%
제외한다 1817
 
5.6%
폐합성수지류(폐염화비닐수지류는 1510
 
4.6%
말한다 1278
 
3.9%
폐유 1189
 
3.7%
및 924
 
2.8%
등을 795
 
2.4%
이상의 512
 
1.6%
이물질이 512
 
1.6%
Other values (309) 17870
55.0%
2024-03-15T11:13:33.113735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22505
 
11.8%
폐 12606
 
6.6%
유 8595
 
4.5%
물 5397
 
2.8%
의 5149
 
2.7%
기 4610
 
2.4%
수 4582
 
2.4%
류 4481
 
2.3%
성 3754
 
2.0%
( 3653
 
1.9%
Other values (292) 115860
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153627
80.4%
Space Separator 22505
 
11.8%
Open Punctuation 4319
 
2.3%
Close Punctuation 4319
 
2.3%
Lowercase Letter 3120
 
1.6%
Other Punctuation 1755
 
0.9%
Decimal Number 1530
 
0.8%
Uppercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 12606
 
8.2%
유 8595
 
5.6%
물 5397
 
3.5%
의 5149
 
3.4%
기 4610
 
3.0%
수 4582
 
3.0%
류 4481
 
2.9%
성 3754
 
2.4%
그 3570
 
2.3%
지 3552
 
2.3%
Other values (268) 97331
63.4%
Lowercase Letter
ValueCountFrequency (%)
e 1040
33.3%
a 520
16.7%
s 512
16.4%
g 512
16.4%
r 512
16.4%
l 8
 
0.3%
t 8
 
0.3%
h 8
 
0.3%
Decimal Number
ValueCountFrequency (%)
2 681
44.5%
0 512
33.5%
1 180
 
11.8%
8 154
 
10.1%
4 3
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 3653
84.6%
[ 512
 
11.9%
「 154
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 3653
84.6%
] 512
 
11.9%
」 154
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 11
64.7%
L 3
 
17.6%
D 3
 
17.6%
Space Separator
ValueCountFrequency (%)
22505
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1755
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153613
80.3%
Common 34428
 
18.0%
Latin 3137
 
1.6%
Han 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 12606
 
8.2%
유 8595
 
5.6%
물 5397
 
3.5%
의 5149
 
3.4%
기 4610
 
3.0%
수 4582
 
3.0%
류 4481
 
2.9%
성 3754
 
2.4%
그 3570
 
2.3%
지 3552
 
2.3%
Other values (266) 97317
63.4%
Common
ValueCountFrequency (%)
22505
65.4%
( 3653
 
10.6%
) 3653
 
10.6%
, 1755
 
5.1%
2 681
 
2.0%
[ 512
 
1.5%
0 512
 
1.5%
] 512
 
1.5%
1 180
 
0.5%
8 154
 
0.4%
Other values (3) 311
 
0.9%
Latin
ValueCountFrequency (%)
e 1040
33.2%
a 520
16.6%
s 512
16.3%
g 512
16.3%
r 512
16.3%
C 11
 
0.4%
l 8
 
0.3%
t 8
 
0.3%
h 8
 
0.3%
L 3
 
0.1%
Han
ValueCountFrequency (%)
金 7
50.0%
冶 7
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150106
78.5%
ASCII 37257
 
19.5%
Compat Jamo 3507
 
1.8%
None 308
 
0.2%
CJK 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22505
60.4%
( 3653
 
9.8%
) 3653
 
9.8%
, 1755
 
4.7%
e 1040
 
2.8%
2 681
 
1.8%
a 520
 
1.4%
s 512
 
1.4%
g 512
 
1.4%
r 512
 
1.4%
Other values (12) 1914
 
5.1%
Hangul
ValueCountFrequency (%)
폐 12606
 
8.4%
유 8595
 
5.7%
물 5397
 
3.6%
의 5149
 
3.4%
기 4610
 
3.1%
수 4582
 
3.1%
류 4481
 
3.0%
성 3754
 
2.5%
그 3570
 
2.4%
지 3552
 
2.4%
Other values (265) 93810
62.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3507
100.0%
None
ValueCountFrequency (%)
「 154
50.0%
」 154
50.0%
CJK
ValueCountFrequency (%)
金 7
50.0%
冶 7
50.0%

연간배출량(톤)
Real number (ℝ)

SKEWED 

Distinct7505
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2217.1928
Minimum0
Maximum7774960
Zeros41
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T11:13:33.475423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.06
Q13.61875
median30.842427
Q3183.17
95-th percentile2977.215
Maximum7774960
Range7774960
Interquartile range (IQR)179.55125

Descriptive statistics

Standard deviation81666.246
Coefficient of variation (CV)36.833173
Kurtosis8228.014
Mean2217.1928
Median Absolute Deviation (MAD)30.530712
Skewness87.533666
Sum22171928
Variance6.6693758 × 109
MonotonicityNot monotonic
2024-03-15T11:13:33.756625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 41
 
0.4%
1.0 33
 
0.3%
0.2 28
 
0.3%
0.03 25
 
0.2%
0.4 23
 
0.2%
0.6 23
 
0.2%
0.1 22
 
0.2%
0.05 20
 
0.2%
0.027 19
 
0.2%
0.02 18
 
0.2%
Other values (7495) 9748
97.5%
ValueCountFrequency (%)
0.0 41
0.4%
3.2e-05 1
 
< 0.1%
0.0001 1
 
< 0.1%
0.0003 1
 
< 0.1%
0.0005 1
 
< 0.1%
0.00055 1
 
< 0.1%
0.0007 1
 
< 0.1%
0.001 3
 
< 0.1%
0.0012 2
 
< 0.1%
0.0015 1
 
< 0.1%
ValueCountFrequency (%)
7774960.0 1
< 0.1%
1370937.742 1
< 0.1%
1259303.91 1
< 0.1%
1194203.812 1
< 0.1%
848640.162 1
< 0.1%
461770.0 1
< 0.1%
332000.0 1
< 0.1%
289029.35 1
< 0.1%
164806.12 1
< 0.1%
129817.0 1
< 0.1%

Interactions

2024-03-15T11:13:21.607206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:13:34.005119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
폐기물구분연간배출량(톤)
폐기물구분1.0000.011
연간배출량(톤)0.0111.000
2024-03-15T11:13:34.311890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연간배출량(톤)폐기물구분
연간배출량(톤)1.0000.019
폐기물구분0.0191.000

Missing values

2024-03-15T11:13:21.986694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:13:22.359537image/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

기초시군구(관할관청)업체명연락처폐기물구분폐기물명연간배출량(톤)
5698광주광역시 서구(주)이마트광주점062-360-0054사업장생활계폐기물폐합성수지류(폐염화비닐수지류는 제외한다)239.155
15385충청북도 충주시(주)티엔피043-844-1331사업장배출시설계폐기물폐수처리오니20.61
1348경기도 시흥시현대정비가맹점시화협동조합031-497-8702<NA>폐오일필터23.39
14481충청남도 홍성군(주)신우에프에스 홍성점070-4340-1917사업장배출시설계폐기물폐합성수지류(폐염화비닐수지류는 제외한다)94.89
10948울산광역시 북구현대제철(주)052-280-0145사업장배출시설계폐기물폐활성탄9.14
10171영산강유역환경청(주)미스터덕061-336-5225<NA>폐동식물유70.875
9310부산광역시 중구휘림한방병원1522-8850<NA>손상성폐기물0.18275
3939경상남도 창원시 성산구성우테크론 주식회사055-279-8591사업장배출시설계폐기물폐수처리오니795.61
6996낙동강유역환경청삼육부산병원051-600-7691<NA>혈액오염폐기물9.262683
16100한강유역환경청이레전자(주).032-576-6867<NA>폐염산1281.54
기초시군구(관할관청)업체명연락처폐기물구분폐기물명연간배출량(톤)
14577충청북도 옥천군씨제이 대한통운 옥천HTML043-531-1297사업장생활계폐기물그 밖의 폐목재류20.4
15973한강유역환경청에스케이마이크로웍스 주식회사031-250-7687<NA>그 밖의 폐유기용제234.61
790경기도 김포시(주)쎌바이오텍031-987-6205<NA>병리계폐기물8.182
14959충청북도 청주시 상당구의료법인 청주병원043-220-1234,1255사업장생활계폐기물그 밖의 폐기물40.16
6693낙동강유역환경청(학)춘해학원(춘해병원)051-638-8000<NA>병리계폐기물1.55
11940전라남도 광양시(주)피엔알광양지점061-760-8783사업장배출시설계폐기물그 밖의 광재류16.44
4377경상북도 고령군삼우금속(주) 2공장054-955-4135사업장배출시설계폐기물그 밖의 분진46.41
7326낙동강유역환경청효성중공업(주) 창원3공장055-268-9028<NA>폐절연유(폴리클로리네이티드비페닐 함유 폐기물을 제외한다)16.03
9307부산광역시 중구자갈치남포마취통증의학과051-246-7282<NA>손상성폐기물0.064
2836경기도 하남시친환경사업소(자원순환과)031-790-5322사업장생활계폐기물그 밖의 폐목재류2550.05