Overview

Dataset statistics

Number of variables6
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory50.4 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description대전광역시 유성구 사업장 폐기물 현황에 대한 데이터로 업소명, 소재지, 대표자, 배출종류, 폐기물 등의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15060288/fileData.do

Alerts

연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:40:03.398989
Analysis finished2023-12-12 09:40:04.647788
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47
Minimum1
Maximum93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-12T18:40:04.740050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.6
Q124
median47
Q370
95-th percentile88.4
Maximum93
Range92
Interquartile range (IQR)46

Descriptive statistics

Standard deviation26.990739
Coefficient of variation (CV)0.57427105
Kurtosis-1.2
Mean47
Median Absolute Deviation (MAD)23
Skewness0
Sum4371
Variance728.5
MonotonicityStrictly increasing
2023-12-12T18:40:04.937740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (83) 83
89.2%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%

업소명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T18:40:05.210102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length9.4408602
Min length4

Characters and Unicode

Total characters878
Distinct characters218
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row㈜한화 대전사업장
2nd row한국원자력연구원
3rd row㈜엘지생활건강
4th row한국화학연구원
5th row자운대근무지원단
ValueCountFrequency (%)
㈜한화 2
 
1.7%
대전광역시 2
 
1.7%
대전사업장 2
 
1.7%
주식회사 2
 
1.7%
유성 1
 
0.9%
티티엠㈜ 1
 
0.9%
애경유화㈜애경중앙연구소 1
 
0.9%
㈜나노신소재 1
 
0.9%
이노칩 1
 
0.9%
㈜모다 1
 
0.9%
Other values (103) 103
88.0%
2023-12-12T18:40:05.671834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 52
 
5.9%
대 28
 
3.2%
원 25
 
2.8%
24
 
2.7%
한 23
 
2.6%
연 22
 
2.5%
이 21
 
2.4%
전 20
 
2.3%
구 20
 
2.3%
국 17
 
1.9%
Other values (208) 626
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 767
87.4%
Other Symbol 52
 
5.9%
Space Separator 24
 
2.7%
Uppercase Letter 13
 
1.5%
Decimal Number 8
 
0.9%
Close Punctuation 6
 
0.7%
Open Punctuation 6
 
0.7%
Other Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 28
 
3.7%
원 25
 
3.3%
한 23
 
3.0%
연 22
 
2.9%
이 21
 
2.7%
전 20
 
2.6%
구 20
 
2.6%
국 17
 
2.2%
사 16
 
2.1%
스 15
 
2.0%
Other values (188) 560
73.0%
Uppercase Letter
ValueCountFrequency (%)
S 3
23.1%
L 2
15.4%
G 2
15.4%
K 2
15.4%
A 1
 
7.7%
T 1
 
7.7%
D 1
 
7.7%
I 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
6 2
25.0%
0 2
25.0%
2 1
12.5%
1 1
12.5%
3 1
12.5%
9 1
12.5%
Other Symbol
ValueCountFrequency (%)
㈜ 52
100.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 819
93.3%
Common 46
 
5.2%
Latin 13
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 52
 
6.3%
대 28
 
3.4%
원 25
 
3.1%
한 23
 
2.8%
연 22
 
2.7%
이 21
 
2.6%
전 20
 
2.4%
구 20
 
2.4%
국 17
 
2.1%
사 16
 
2.0%
Other values (189) 575
70.2%
Common
ValueCountFrequency (%)
24
52.2%
) 6
 
13.0%
( 6
 
13.0%
6 2
 
4.3%
0 2
 
4.3%
2 1
 
2.2%
1 1
 
2.2%
3 1
 
2.2%
9 1
 
2.2%
· 1
 
2.2%
Latin
ValueCountFrequency (%)
S 3
23.1%
L 2
15.4%
G 2
15.4%
K 2
15.4%
A 1
 
7.7%
T 1
 
7.7%
D 1
 
7.7%
I 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 767
87.4%
ASCII 58
 
6.6%
None 53
 
6.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 52
98.1%
· 1
 
1.9%
Hangul
ValueCountFrequency (%)
대 28
 
3.7%
원 25
 
3.3%
한 23
 
3.0%
연 22
 
2.9%
이 21
 
2.7%
전 20
 
2.6%
구 20
 
2.6%
국 17
 
2.2%
사 16
 
2.1%
스 15
 
2.0%
Other values (188) 560
73.0%
ASCII
ValueCountFrequency (%)
24
41.4%
) 6
 
10.3%
( 6
 
10.3%
S 3
 
5.2%
6 2
 
3.4%
L 2
 
3.4%
G 2
 
3.4%
0 2
 
3.4%
K 2
 
3.4%
A 1
 
1.7%
Other values (8) 8
 
13.8%

소재지
Text

Distinct90
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T18:40:06.024027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length19.548387
Min length12

Characters and Unicode

Total characters1818
Distinct characters127
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)93.5%

Sample

1st row대전광역시 유성구 외삼로8번길 99
2nd row대전광역시 유성구 대덕대로989번길 111
3rd row대전광역시 유성구 장동 84
4th row대전광역시 유성구 가정로 141
5th row대전광역시 유성구 추목동 사서함 78-24호
ValueCountFrequency (%)
유성구 93
23.7%
대전 67
 
17.0%
대전광역시 25
 
6.4%
테크노2로 7
 
1.8%
가정북로 5
 
1.3%
엑스포로 4
 
1.0%
가정로 4
 
1.0%
불무로 4
 
1.0%
대덕대로 3
 
0.8%
신성동 3
 
0.8%
Other values (145) 178
45.3%
2023-12-12T18:40:06.593535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
16.5%
대 127
 
7.0%
성 111
 
6.1%
유 106
 
5.8%
구 99
 
5.4%
전 95
 
5.2%
로 82
 
4.5%
1 64
 
3.5%
2 56
 
3.1%
동 52
 
2.9%
Other values (117) 726
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1082
59.5%
Decimal Number 323
 
17.8%
Space Separator 300
 
16.5%
Close Punctuation 35
 
1.9%
Open Punctuation 35
 
1.9%
Dash Punctuation 17
 
0.9%
Other Punctuation 13
 
0.7%
Uppercase Letter 12
 
0.7%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 127
 
11.7%
성 111
 
10.3%
유 106
 
9.8%
구 99
 
9.1%
전 95
 
8.8%
로 82
 
7.6%
동 52
 
4.8%
시 27
 
2.5%
광 25
 
2.3%
역 25
 
2.3%
Other values (92) 333
30.8%
Decimal Number
ValueCountFrequency (%)
1 64
19.8%
2 56
17.3%
6 33
10.2%
3 33
10.2%
8 32
9.9%
5 25
 
7.7%
9 22
 
6.8%
4 21
 
6.5%
0 19
 
5.9%
7 18
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
16.7%
L 2
16.7%
C 2
16.7%
Y 1
8.3%
D 1
8.3%
G 1
8.3%
T 1
8.3%
J 1
8.3%
P 1
8.3%
Space Separator
ValueCountFrequency (%)
300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1083
59.6%
Common 723
39.8%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 127
 
11.7%
성 111
 
10.2%
유 106
 
9.8%
구 99
 
9.1%
전 95
 
8.8%
로 82
 
7.6%
동 52
 
4.8%
시 27
 
2.5%
광 25
 
2.3%
역 25
 
2.3%
Other values (93) 334
30.8%
Common
ValueCountFrequency (%)
300
41.5%
1 64
 
8.9%
2 56
 
7.7%
) 35
 
4.8%
( 35
 
4.8%
6 33
 
4.6%
3 33
 
4.6%
8 32
 
4.4%
5 25
 
3.5%
9 22
 
3.0%
Other values (5) 88
 
12.2%
Latin
ValueCountFrequency (%)
B 2
16.7%
L 2
16.7%
C 2
16.7%
Y 1
8.3%
D 1
8.3%
G 1
8.3%
T 1
8.3%
J 1
8.3%
P 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1082
59.5%
ASCII 735
40.4%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
300
40.8%
1 64
 
8.7%
2 56
 
7.6%
) 35
 
4.8%
( 35
 
4.8%
6 33
 
4.5%
3 33
 
4.5%
8 32
 
4.4%
5 25
 
3.4%
9 22
 
3.0%
Other values (14) 100
 
13.6%
Hangul
ValueCountFrequency (%)
대 127
 
11.7%
성 111
 
10.3%
유 106
 
9.8%
구 99
 
9.1%
전 95
 
8.8%
로 82
 
7.6%
동 52
 
4.8%
시 27
 
2.5%
광 25
 
2.3%
역 25
 
2.3%
Other values (92) 333
30.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

Distinct55
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T18:40:06.872483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.3655914
Min length2

Characters and Unicode

Total characters313
Distinct characters82
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)51.6%

Sample

1st row대표이사
2nd row원장
3rd row대표이사
4th row원장
5th row단장
ValueCountFrequency (%)
대표이사 23
23.5%
원장 7
 
7.1%
총장 5
 
5.1%
소장 4
 
4.1%
단장 2
 
2.0%
연구원장 2
 
2.0%
대전도시공사사장 2
 
2.0%
외 2
 
2.0%
1인 2
 
2.0%
이승우 1
 
1.0%
Other values (48) 48
49.0%
2023-12-12T18:40:07.284708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 29
 
9.3%
사 29
 
9.3%
장 29
 
9.3%
이 26
 
8.3%
표 24
 
7.7%
원 12
 
3.8%
영 7
 
2.2%
김 6
 
1.9%
박 6
 
1.9%
진 6
 
1.9%
Other values (72) 139
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
97.4%
Space Separator 5
 
1.6%
Decimal Number 3
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 29
 
9.5%
사 29
 
9.5%
장 29
 
9.5%
이 26
 
8.5%
표 24
 
7.9%
원 12
 
3.9%
영 7
 
2.3%
김 6
 
2.0%
박 6
 
2.0%
진 6
 
2.0%
Other values (69) 131
43.0%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
97.4%
Common 8
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 29
 
9.5%
사 29
 
9.5%
장 29
 
9.5%
이 26
 
8.5%
표 24
 
7.9%
원 12
 
3.9%
영 7
 
2.3%
김 6
 
2.0%
박 6
 
2.0%
진 6
 
2.0%
Other values (69) 131
43.0%
Common
ValueCountFrequency (%)
5
62.5%
1 2
 
25.0%
2 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
97.4%
ASCII 8
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 29
 
9.5%
사 29
 
9.5%
장 29
 
9.5%
이 26
 
8.5%
표 24
 
7.9%
원 12
 
3.9%
영 7
 
2.3%
김 6
 
2.0%
박 6
 
2.0%
진 6
 
2.0%
Other values (69) 131
43.0%
ASCII
ValueCountFrequency (%)
5
62.5%
1 2
 
25.0%
2 1
 
12.5%

배출종류
Categorical

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
사업장생활계
75 
사배
9 
사업장배출시설계
9 

Length

Max length8
Median length6
Mean length5.8064516
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업장생활계 75
80.6%
사배 9
 
9.7%
사업장배출시설계 9
 
9.7%

Length

2023-12-12T18:40:07.438760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:40:07.558367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업장생활계 75
80.6%
사배 9
 
9.7%
사업장배출시설계 9
 
9.7%

폐기물 종류
Text

Distinct71
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T18:40:07.790774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length34
Mean length18.462366
Min length2

Characters and Unicode

Total characters1717
Distinct characters112
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

Unique65 ?
Unique (%)69.9%

Sample

1st row폐합성수지, 폐합성고무, 폐합성고분자화합물, 분진, 폐활성탄, 실리카겔, 폐목재, 그밖의폐기물
2nd row폐수처리오니(무), 폐합성수지, 폐목재, 폐토사
3rd row폐합성수지, 그밖의폐기물
4th row폐지, 폐목재, 생활쓰레기, 폐수처리오니
5th row폐목재, 폐합성수지, 그밖의폐기물
ValueCountFrequency (%)
폐합성수지 53
19.3%
그밖의폐기물 27
 
9.9%
폐목재 19
 
6.9%
폐수처리오니(무 13
 
4.7%
폐합성수지류 7
 
2.6%
폐흡착제 7
 
2.6%
음식물 7
 
2.6%
생활폐기물 7
 
2.6%
동식물성잔재물 6
 
2.2%
폐기물 6
 
2.2%
Other values (77) 122
44.5%
2023-12-12T18:40:08.214338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 207
 
12.1%
182
 
10.6%
, 168
 
9.8%
물 99
 
5.8%
성 87
 
5.1%
수 85
 
5.0%
합 75
 
4.4%
지 65
 
3.8%
기 54
 
3.1%
재 42
 
2.4%
Other values (102) 653
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1317
76.7%
Space Separator 182
 
10.6%
Other Punctuation 168
 
9.8%
Close Punctuation 25
 
1.5%
Open Punctuation 25
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 207
 
15.7%
물 99
 
7.5%
성 87
 
6.6%
수 85
 
6.5%
합 75
 
5.7%
지 65
 
4.9%
기 54
 
4.1%
재 42
 
3.2%
의 40
 
3.0%
밖 39
 
3.0%
Other values (98) 524
39.8%
Space Separator
ValueCountFrequency (%)
182
100.0%
Other Punctuation
ValueCountFrequency (%)
, 168
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1317
76.7%
Common 400
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 207
 
15.7%
물 99
 
7.5%
성 87
 
6.6%
수 85
 
6.5%
합 75
 
5.7%
지 65
 
4.9%
기 54
 
4.1%
재 42
 
3.2%
의 40
 
3.0%
밖 39
 
3.0%
Other values (98) 524
39.8%
Common
ValueCountFrequency (%)
182
45.5%
, 168
42.0%
) 25
 
6.2%
( 25
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1317
76.7%
ASCII 400
 
23.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 207
 
15.7%
물 99
 
7.5%
성 87
 
6.6%
수 85
 
6.5%
합 75
 
5.7%
지 65
 
4.9%
기 54
 
4.1%
재 42
 
3.2%
의 40
 
3.0%
밖 39
 
3.0%
Other values (98) 524
39.8%
ASCII
ValueCountFrequency (%)
182
45.5%
, 168
42.0%
) 25
 
6.2%
( 25
 
6.2%

Interactions

2023-12-12T18:40:04.292360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:40:08.326764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지대표자배출종류폐기물 종류
연번1.0001.0000.8250.5330.4400.576
업소명1.0001.0001.0001.0001.0001.000
소재지0.8251.0001.0000.9870.0000.962
대표자0.5331.0000.9871.0000.8370.000
배출종류0.4401.0000.0000.8371.0000.889
폐기물 종류0.5761.0000.9620.0000.8891.000
2023-12-12T18:40:08.428778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번배출종류
연번1.0000.281
배출종류0.2811.000

Missing values

2023-12-12T18:40:04.448526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:40:04.595096image/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

연번업소명소재지대표자배출종류폐기물 종류
01㈜한화 대전사업장대전광역시 유성구 외삼로8번길 99대표이사사업장생활계폐합성수지, 폐합성고무, 폐합성고분자화합물, 분진, 폐활성탄, 실리카겔, 폐목재, 그밖의폐기물
12한국원자력연구원대전광역시 유성구 대덕대로989번길 111원장사업장생활계폐수처리오니(무), 폐합성수지, 폐목재, 폐토사
23㈜엘지생활건강대전광역시 유성구 장동 84대표이사사업장생활계폐합성수지, 그밖의폐기물
34한국화학연구원대전광역시 유성구 가정로 141원장사업장생활계폐지, 폐목재, 생활쓰레기, 폐수처리오니
45자운대근무지원단대전광역시 유성구 추목동 사서함 78-24호단장사업장생활계폐목재, 폐합성수지, 그밖의폐기물
56육군교육사령부대전시 유성구 추목동 사서함 78-24호단장사업장생활계하수처리오니(유), 그밖의(협잡물)
67한국테크노돔대전광역시 유성구 유성대로935번길 50(죽동)대표이사사업장생활계폐수처리오니(무), 폐합성수지, 폐합성고무, 분진, 폐타이어
78한국과학기술원대전광역시 유성구 대학로 291총장사업장생활계오니(무), 폐수처리오니(무),폐합성수지,그밖의폐기물
89LG화학기술연구원대전광역시 유성구 문지로 188대표이사사업장생활계폐합성수지, 그밖의폐기물
910(사)대전광역시노은농수산물도매시장환경관리위원회대전광역시 유성구 노은동로 33(노은동)채종탁사업장생활계폐합성고분자화합물, 동물성잔재물, 식물성잔재물, 그밖의폐기물
연번업소명소재지대표자배출종류폐기물 종류
8384㈜오렌지파워대전 유성구 테크노6로 36(관평동)김철환사업장생활계폐합성수지류
8485㈜케이앤에스아이앤씨대전 유성구 유성대로 1476-55(화암동)진병욱사업장배출시설계폐합성수지류
8586㈜한화 종합연구소대전 유성구 유성대로1366번길 10(장동)대표이사사업장생활계그밖의폐기물, 폐가구류 등, 플라스틱폐포장재, 폐합성수지류
8687대전그린에너지센터㈜대전 유성구 불무로 186(금고동)손근식사업장배출시설계폐활성탄, 사업장폐기물 소각시설 바닥재, 그밖의 연소잔재물, 그밖의 폐기물
8788한국전력공사 대덕유성지사대전 유성구 계룡로 114, 3,4층(봉명동, BYC빌딩)조환익사업장생활계폐전주
8889㈜메디오스대전 유성구 테크노2로 126(용산동)박재연사업장생활계폐합성수지
8990금호폴리켐㈜대전 유성구 유성대로1184번길 40(신성동, 금호폴리켐 대전연구소)박찬구사업장생활계폐합성수지, 그밖의폐기물
9091주식회사프로팜포크대전 유성구 진잠로 125, 1층(교촌동)최영애사업장생활계동물성유지류, 축산물가공잔재물
9192한화컴파운드 주식회사대전 유성구 신성동 6(가정로 76)오세원사업장생활계그 밖의 폐기물
9293넥스플렉스㈜대전 유성구 엑스포로 325(원촌동)박동원사업장생활계그밖의 폐기물