Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells17
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory70.0 B

Variable types

Text4
Categorical4

Dataset

Description대구광역시_동구_폐기물처리업 신고현황_20200326
Author대구광역시 동구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15035316&dataSetDetailId=150353161c00995756a72_202003261627&provdMethod=FILE

Alerts

관할관청 has constant value ""Constant
기준일자 has constant value ""Constant
업종 is highly overall correlated with 처분업종류High correlation
처분업종류 is highly overall correlated with 업종High correlation
처리시설 소재지 has 10 (45.5%) missing valuesMissing
연락처 has 7 (31.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:52:55.509455
Analysis finished2023-12-10 17:52:56.612376
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:52:56.831360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.8636364
Min length2

Characters and Unicode

Total characters107
Distinct characters60
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)90.9%

Sample

1st row대동수지공업사
2nd row자유보호작업장
3rd row신성비철산업
4th row신성상사
5th row대한민국상이군경회
ValueCountFrequency (%)
㈜유창알앤씨 2
 
9.1%
대동수지공업사 1
 
4.5%
㈜대륙 1
 
4.5%
파란 1
 
4.5%
송백농장 1
 
4.5%
동부실업 1
 
4.5%
동방통운 1
 
4.5%
일호자원 1
 
4.5%
신해자원 1
 
4.5%
나눔 1
 
4.5%
Other values (11) 11
50.0%
2023-12-11T02:52:57.448723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 5
 
4.7%
유 4
 
3.7%
대 4
 
3.7%
상 4
 
3.7%
사 4
 
3.7%
업 4
 
3.7%
㈜ 3
 
2.8%
성 3
 
2.8%
자 3
 
2.8%
장 3
 
2.8%
Other values (50) 70
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 104
97.2%
Other Symbol 3
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5
 
4.8%
유 4
 
3.8%
대 4
 
3.8%
상 4
 
3.8%
사 4
 
3.8%
업 4
 
3.8%
성 3
 
2.9%
자 3
 
2.9%
장 3
 
2.9%
지 3
 
2.9%
Other values (49) 67
64.4%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 107
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5
 
4.7%
유 4
 
3.7%
대 4
 
3.7%
상 4
 
3.7%
사 4
 
3.7%
업 4
 
3.7%
㈜ 3
 
2.8%
성 3
 
2.8%
자 3
 
2.8%
장 3
 
2.8%
Other values (50) 70
65.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 104
97.2%
None 3
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 5
 
4.8%
유 4
 
3.8%
대 4
 
3.8%
상 4
 
3.8%
사 4
 
3.8%
업 4
 
3.8%
성 3
 
2.9%
자 3
 
2.9%
장 3
 
2.9%
지 3
 
2.9%
Other values (49) 67
64.4%
None
ValueCountFrequency (%)
㈜ 3
100.0%

처리시설 소재지
Text

MISSING 

Distinct11
Distinct (%)91.7%
Missing10
Missing (%)45.5%
Memory size308.0 B
2023-12-11T02:52:57.757081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.25
Min length19

Characters and Unicode

Total characters267
Distinct characters37
Distinct categories6 ?
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 (%)83.3%

Sample

1st row대구광역시 동구 안심로 55길 4(동호동)
2nd row대구광역시 동구 팔공산로 225(덕곡동)
3rd row대구광역시 동구 안심로 347(각산동)
4th row대구광역시 동구 안심로65길 14(각산동)
5th row대구광역시 동구 안심로65길 17(각산동)
ValueCountFrequency (%)
대구광역시 12
24.5%
동구 12
24.5%
안심로 3
 
6.1%
안심로65길 3
 
6.1%
26(불로동 2
 
4.1%
공항로31길 2
 
4.1%
8(각산동 1
 
2.0%
팔공로206길 1
 
2.0%
339-1(각산동 1
 
2.0%
86(신평동 1
 
2.0%
Other values (11) 11
22.4%
2023-12-11T02:52:58.401209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
13.9%
구 24
 
9.0%
동 24
 
9.0%
로 14
 
5.2%
대 12
 
4.5%
시 12
 
4.5%
역 12
 
4.5%
광 12
 
4.5%
) 11
 
4.1%
( 11
 
4.1%
Other values (27) 98
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
61.0%
Decimal Number 44
 
16.5%
Space Separator 37
 
13.9%
Close Punctuation 11
 
4.1%
Open Punctuation 11
 
4.1%
Dash Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 24
14.7%
동 24
14.7%
로 14
8.6%
대 12
 
7.4%
시 12
 
7.4%
역 12
 
7.4%
광 12
 
7.4%
길 9
 
5.5%
산 6
 
3.7%
심 6
 
3.7%
Other values (13) 32
19.6%
Decimal Number
ValueCountFrequency (%)
5 8
18.2%
3 7
15.9%
2 7
15.9%
6 7
15.9%
1 5
11.4%
4 3
 
6.8%
8 3
 
6.8%
7 2
 
4.5%
9 1
 
2.3%
0 1
 
2.3%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
61.0%
Common 104
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 24
14.7%
동 24
14.7%
로 14
8.6%
대 12
 
7.4%
시 12
 
7.4%
역 12
 
7.4%
광 12
 
7.4%
길 9
 
5.5%
산 6
 
3.7%
심 6
 
3.7%
Other values (13) 32
19.6%
Common
ValueCountFrequency (%)
37
35.6%
) 11
 
10.6%
( 11
 
10.6%
5 8
 
7.7%
3 7
 
6.7%
2 7
 
6.7%
6 7
 
6.7%
1 5
 
4.8%
4 3
 
2.9%
8 3
 
2.9%
Other values (4) 5
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
61.0%
ASCII 104
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
37
35.6%
) 11
 
10.6%
( 11
 
10.6%
5 8
 
7.7%
3 7
 
6.7%
2 7
 
6.7%
6 7
 
6.7%
1 5
 
4.8%
4 3
 
2.9%
8 3
 
2.9%
Other values (4) 5
 
4.8%
Hangul
ValueCountFrequency (%)
구 24
14.7%
동 24
14.7%
로 14
8.6%
대 12
 
7.4%
시 12
 
7.4%
역 12
 
7.4%
광 12
 
7.4%
길 9
 
5.5%
산 6
 
3.7%
심 6
 
3.7%
Other values (13) 32
19.6%

연락처
Text

MISSING 

Distinct14
Distinct (%)93.3%
Missing7
Missing (%)31.8%
Memory size308.0 B
2023-12-11T02:52:58.721234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.066667
Min length12

Characters and Unicode

Total characters181
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

Unique13 ?
Unique (%)86.7%

Sample

1st row053-962-5758
2nd row053-986-3090
3rd row053-963-8877
4th row053-963-2233
5th row053-963-2235
ValueCountFrequency (%)
053-986-7113 2
13.3%
053-962-5758 1
 
6.7%
053-986-3090 1
 
6.7%
053-963-8877 1
 
6.7%
053-963-2233 1
 
6.7%
053-963-2235 1
 
6.7%
053-963-3408 1
 
6.7%
053-962-9844 1
 
6.7%
053-984-4350 1
 
6.7%
053-965-9359 1
 
6.7%
Other values (4) 4
26.7%
2023-12-11T02:52:59.304810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 31
17.1%
- 30
16.6%
5 22
12.2%
0 20
11.0%
9 17
9.4%
6 15
8.3%
8 11
 
6.1%
4 11
 
6.1%
2 10
 
5.5%
7 8
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
83.4%
Dash Punctuation 30
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 31
20.5%
5 22
14.6%
0 20
13.2%
9 17
11.3%
6 15
9.9%
8 11
 
7.3%
4 11
 
7.3%
2 10
 
6.6%
7 8
 
5.3%
1 6
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 181
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 31
17.1%
- 30
16.6%
5 22
12.2%
0 20
11.0%
9 17
9.4%
6 15
8.3%
8 11
 
6.1%
4 11
 
6.1%
2 10
 
5.5%
7 8
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 181
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 31
17.1%
- 30
16.6%
5 22
12.2%
0 20
11.0%
9 17
9.4%
6 15
8.3%
8 11
 
6.1%
4 11
 
6.1%
2 10
 
5.5%
7 8
 
4.4%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
지정외 폐기물 처리업
14 
지정외 폐기물 수집운반업
7 
지정폐기물 수집운반업
 
1

Length

Max length13
Median length11
Mean length11.636364
Min length11

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row지정외 폐기물 처리업
2nd row지정외 폐기물 처리업
3rd row지정외 폐기물 처리업
4th row지정외 폐기물 처리업
5th row지정외 폐기물 처리업

Common Values

ValueCountFrequency (%)
지정외 폐기물 처리업 14
63.6%
지정외 폐기물 수집운반업 7
31.8%
지정폐기물 수집운반업 1
 
4.5%

Length

2023-12-11T02:52:59.618333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:52:59.882068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지정외 21
32.3%
폐기물 21
32.3%
처리업 14
21.5%
수집운반업 8
 
12.3%
지정폐기물 1
 
1.5%

처분업종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
폐기물처리(수집운반)신고자
8 
종합재활용업
7 
폐기물처리(재활용)신고자
7 

Length

Max length14
Median length13
Mean length11.136364
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐기물처리(수집운반)신고자 8
36.4%
종합재활용업 7
31.8%
폐기물처리(재활용)신고자 7
31.8%

Length

2023-12-11T02:53:00.156092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:53:00.404433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐기물처리(수집운반)신고자 8
36.4%
종합재활용업 7
31.8%
폐기물처리(재활용)신고자 7
31.8%

처리폐기물 종류
Text

Distinct13
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-11T02:53:00.708795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length25
Mean length10.318182
Min length3

Characters and Unicode

Total characters227
Distinct characters55
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

Unique9 ?
Unique (%)40.9%

Sample

1st row폐합성수지류
2nd row폐식용유
3rd row폐합성고무류(폐코팅롤)
4th row폐합성수지류(폐전선,폐통신케이블,고철)
5th row폐합성수지류(폐전선,폐통신케이블,폐모터,인쇄회로기관,고철,폐합성수지)
ValueCountFrequency (%)
폐의류 5
22.7%
폐식용유 3
13.6%
음식물류 3
13.6%
폐합성수지류(폐전선,폐통신케이블,고철 2
 
9.1%
폐합성수지류 1
 
4.5%
폐합성고무류(폐코팅롤 1
 
4.5%
폐합성수지류(폐전선,폐통신케이블,폐모터,인쇄회로기관,고철,폐합성수지 1
 
4.5%
폐합성수지류(폐플라스틱,폐스티로폼 1
 
4.5%
폐합성수지류(폐지,고철,폐타이어,폐가전제품,폐포장재 1
 
4.5%
폐황산(폐축전지 1
 
4.5%
Other values (3) 3
13.6%
2023-12-11T02:53:01.279469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
폐 36
 
15.9%
류 16
 
7.0%
, 14
 
6.2%
전 10
 
4.4%
지 9
 
4.0%
( 8
 
3.5%
) 8
 
3.5%
합 8
 
3.5%
성 8
 
3.5%
수 7
 
3.1%
Other values (45) 103
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 197
86.8%
Other Punctuation 14
 
6.2%
Open Punctuation 8
 
3.5%
Close Punctuation 8
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
폐 36
18.3%
류 16
 
8.1%
전 10
 
5.1%
지 9
 
4.6%
합 8
 
4.1%
성 8
 
4.1%
수 7
 
3.6%
식 6
 
3.0%
의 5
 
2.5%
고 5
 
2.5%
Other values (42) 87
44.2%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 197
86.8%
Common 30
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
폐 36
18.3%
류 16
 
8.1%
전 10
 
5.1%
지 9
 
4.6%
합 8
 
4.1%
성 8
 
4.1%
수 7
 
3.6%
식 6
 
3.0%
의 5
 
2.5%
고 5
 
2.5%
Other values (42) 87
44.2%
Common
ValueCountFrequency (%)
, 14
46.7%
( 8
26.7%
) 8
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 197
86.8%
ASCII 30
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
폐 36
18.3%
류 16
 
8.1%
전 10
 
5.1%
지 9
 
4.6%
합 8
 
4.1%
성 8
 
4.1%
수 7
 
3.6%
식 6
 
3.0%
의 5
 
2.5%
고 5
 
2.5%
Other values (42) 87
44.2%
ASCII
ValueCountFrequency (%)
, 14
46.7%
( 8
26.7%
) 8
26.7%

관할관청
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
대구광역시 동구청
22 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 동구청
2nd row대구광역시 동구청
3rd row대구광역시 동구청
4th row대구광역시 동구청
5th row대구광역시 동구청

Common Values

ValueCountFrequency (%)
대구광역시 동구청 22
100.0%

Length

2023-12-11T02:53:01.537641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:53:01.770098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 22
50.0%
동구청 22
50.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2020-03-26
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-26
2nd row2020-03-26
3rd row2020-03-26
4th row2020-03-26
5th row2020-03-26

Common Values

ValueCountFrequency (%)
2020-03-26 22
100.0%

Length

2023-12-11T02:53:02.050448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:53:02.277081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-26 22
100.0%

Correlations

2023-12-11T02:53:02.426157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호처리시설 소재지연락처업종처분업종류처리폐기물 종류
상호1.0001.0001.0001.0000.7300.663
처리시설 소재지1.0001.0001.000NaN0.0000.778
연락처1.0001.0001.0001.0000.8000.867
업종1.000NaN1.0001.0000.9270.895
처분업종류0.7300.0000.8000.9271.0000.816
처리폐기물 종류0.6630.7780.8670.8950.8161.000
2023-12-11T02:53:02.668340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분업종류업종
처분업종류1.0000.669
업종0.6691.000
2023-12-11T02:53:02.846042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종처분업종류
업종1.0000.669
처분업종류0.6691.000

Missing values

2023-12-11T02:52:56.089821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:52:56.331840image/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.
2023-12-11T02:52:56.510302image/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

상호처리시설 소재지연락처업종처분업종류처리폐기물 종류관할관청기준일자
0대동수지공업사대구광역시 동구 안심로 55길 4(동호동)053-962-5758지정외 폐기물 처리업종합재활용업폐합성수지류대구광역시 동구청2020-03-26
1자유보호작업장대구광역시 동구 팔공산로 225(덕곡동)053-986-3090지정외 폐기물 처리업종합재활용업폐식용유대구광역시 동구청2020-03-26
2신성비철산업대구광역시 동구 안심로 347(각산동)053-963-8877지정외 폐기물 처리업종합재활용업폐합성고무류(폐코팅롤)대구광역시 동구청2020-03-26
3신성상사대구광역시 동구 안심로65길 14(각산동)053-963-2233지정외 폐기물 처리업종합재활용업폐합성수지류(폐전선,폐통신케이블,고철)대구광역시 동구청2020-03-26
4대한민국상이군경회대구광역시 동구 안심로65길 17(각산동)053-963-2235지정외 폐기물 처리업종합재활용업폐합성수지류(폐전선,폐통신케이블,폐모터,인쇄회로기관,고철,폐합성수지)대구광역시 동구청2020-03-26
5경북재향군인회각산동지점대구광역시 동구 안심로65길 8(각산동)053-963-3408지정외 폐기물 처리업종합재활용업폐합성수지류(폐전선,폐통신케이블,고철)대구광역시 동구청2020-03-26
6㈜유창알앤씨대구광역시 동구 공항로31길 26(불로동)053-986-7113지정외 폐기물 처리업종합재활용업폐합성수지류(폐플라스틱,폐스티로폼)대구광역시 동구청2020-03-26
7㈜유창알앤씨대구광역시 동구 공항로31길 26(불로동)053-986-7113지정외 폐기물 처리업폐기물처리(재활용)신고자폐합성수지류(폐지,고철,폐타이어,폐가전제품,폐포장재)대구광역시 동구청2020-03-26
8아지매환경대구광역시 동구 신덕로2길 35(용계동)053-962-9844지정외 폐기물 처리업폐기물처리(재활용)신고자음식물류대구광역시 동구청2020-03-26
9대성농장대구광역시 동구 신평로32길 86(신평동)053-984-4350지정외 폐기물 처리업폐기물처리(재활용)신고자음식물류대구광역시 동구청2020-03-26
상호처리시설 소재지연락처업종처분업종류처리폐기물 종류관할관청기준일자
12㈜대륙<NA>053-353-8126지정외 폐기물 처리업폐기물처리(재활용)신고자폐전기전자제품류(폐가전제품)대구광역시 동구청2020-03-26
13국제상사<NA><NA>지정외 폐기물 수집운반업폐기물처리(수집운반)신고자폐의류대구광역시 동구청2020-03-26
14나눔<NA><NA>지정외 폐기물 수집운반업폐기물처리(수집운반)신고자폐의류대구광역시 동구청2020-03-26
15신해자원대구광역시 동구 안심로 339-1(각산동)053-964-6644지정외 폐기물 처리업폐기물처리(재활용)신고자폐의류대구광역시 동구청2020-03-26
16일호자원<NA><NA>지정외 폐기물 수집운반업폐기물처리(수집운반)신고자폐의류대구광역시 동구청2020-03-26
17동방통운<NA>053-964-4477지정외 폐기물 수집운반업폐기물처리(수집운반)신고자플라스틱폐포장재대구광역시 동구청2020-03-26
18동부실업<NA><NA>지정외 폐기물 수집운반업폐기물처리(수집운반)신고자폐의류대구광역시 동구청2020-03-26
19송백농장대구광역시 동구 팔공로206길 85<NA>지정외 폐기물 처리업폐기물처리(재활용)신고자음식물류대구광역시 동구청2020-03-26
20파란<NA><NA>지정외 폐기물 수집운반업폐기물처리(수집운반)신고자가정용폐전기전자제품대구광역시 동구청2020-03-26
21정훈유통<NA><NA>지정외 폐기물 수집운반업폐기물처리(수집운반)신고자폐식용유대구광역시 동구청2020-03-26