Overview

Dataset statistics

Number of variables8
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory70.8 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description우리시 관내에 등록되어있는 환경관리대행기관 업체명, 대표자, 소재지, 대행분야입니다.전화번호는 환경정책과(803-3682)으로 문의주십시요.
Author대구광역시
URLhttps://www.data.go.kr/data/15054587/fileData.do

Alerts

휴폐업구분 has constant value ""Constant
순번 has unique valuesUnique
인허가등록번호 has unique valuesUnique
상호 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique
영업소소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-21 07:18:16.772807
Analysis finished2024-04-21 07:18:18.119933
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-04-21T16:18:18.297151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-21T16:18:18.668387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

인허가등록번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T16:18:19.370526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters462
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

Unique22 ?
Unique (%)100.0%

Sample

1st row6270000-10-2022-00002
2nd row6270000-10-2021-00005
3rd row6270000-10-2021-00004
4th row6270000-10-2021-00002
5th row6270000-10-2021-00001
ValueCountFrequency (%)
6270000-10-2022-00002 1
 
4.5%
6270000-10-2021-00005 1
 
4.5%
6270000-10-2013-00003 1
 
4.5%
6270000-10-2013-00013 1
 
4.5%
6270000-10-2013-00015 1
 
4.5%
6270000-10-2013-00017 1
 
4.5%
6270000-10-2013-00018 1
 
4.5%
6270000-10-2014-00001 1
 
4.5%
6270000-10-2015-00001 1
 
4.5%
6270000-10-2015-00002 1
 
4.5%
Other values (12) 12
54.5%
2024-04-21T16:18:20.266396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 218
47.2%
- 66
 
14.3%
2 58
 
12.6%
1 51
 
11.0%
7 24
 
5.2%
6 23
 
5.0%
3 10
 
2.2%
5 6
 
1.3%
4 2
 
0.4%
9 2
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 396
85.7%
Dash Punctuation 66
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 218
55.1%
2 58
 
14.6%
1 51
 
12.9%
7 24
 
6.1%
6 23
 
5.8%
3 10
 
2.5%
5 6
 
1.5%
4 2
 
0.5%
9 2
 
0.5%
8 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 462
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 218
47.2%
- 66
 
14.3%
2 58
 
12.6%
1 51
 
11.0%
7 24
 
5.2%
6 23
 
5.0%
3 10
 
2.2%
5 6
 
1.3%
4 2
 
0.4%
9 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 462
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 218
47.2%
- 66
 
14.3%
2 58
 
12.6%
1 51
 
11.0%
7 24
 
5.2%
6 23
 
5.0%
3 10
 
2.2%
5 6
 
1.3%
4 2
 
0.4%
9 2
 
0.4%

상호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T16:18:20.950711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.0909091
Min length4

Characters and Unicode

Total characters178
Distinct characters58
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

Unique22 ?
Unique (%)100.0%

Sample

1st row(주)정도엔지니어링
2nd row(주)대림종합환경
3rd row케이텍솔루션(주)
4th row(주)대구환경연구소
5th row(주)오늘환경측정
ValueCountFrequency (%)
주)정도엔지니어링 1
 
4.5%
주)대림종합환경 1
 
4.5%
제일환경 1
 
4.5%
케이지엔텍 1
 
4.5%
대동환경측정(주 1
 
4.5%
주)대일환경기술 1
 
4.5%
주)금창엔지니어링 1
 
4.5%
주)삼안환경측정 1
 
4.5%
주)대영종합환경 1
 
4.5%
로드환경산업 1
 
4.5%
Other values (12) 12
54.5%
2024-04-21T16:18:21.853563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 17
 
9.6%
) 17
 
9.6%
주 17
 
9.6%
경 14
 
7.9%
환 14
 
7.9%
대 7
 
3.9%
정 6
 
3.4%
엔 6
 
3.4%
측 5
 
2.8%
일 5
 
2.8%
Other values (48) 70
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 144
80.9%
Open Punctuation 17
 
9.6%
Close Punctuation 17
 
9.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 17
 
11.8%
경 14
 
9.7%
환 14
 
9.7%
대 7
 
4.9%
정 6
 
4.2%
엔 6
 
4.2%
측 5
 
3.5%
일 5
 
3.5%
이 5
 
3.5%
텍 3
 
2.1%
Other values (46) 62
43.1%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 144
80.9%
Common 34
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 17
 
11.8%
경 14
 
9.7%
환 14
 
9.7%
대 7
 
4.9%
정 6
 
4.2%
엔 6
 
4.2%
측 5
 
3.5%
일 5
 
3.5%
이 5
 
3.5%
텍 3
 
2.1%
Other values (46) 62
43.1%
Common
ValueCountFrequency (%)
( 17
50.0%
) 17
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 144
80.9%
ASCII 34
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 17
50.0%
) 17
50.0%
Hangul
ValueCountFrequency (%)
주 17
 
11.8%
경 14
 
9.7%
환 14
 
9.7%
대 7
 
4.9%
정 6
 
4.2%
엔 6
 
4.2%
측 5
 
3.5%
일 5
 
3.5%
이 5
 
3.5%
텍 3
 
2.1%
Other values (46) 62
43.1%

대표자명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T16:18:22.479224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.2272727
Min length3

Characters and Unicode

Total characters71
Distinct characters45
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

Unique22 ?
Unique (%)100.0%

Sample

1st row양득천
2nd row이석희
3rd row황병대
4th row안혜민
5th row권종욱
ValueCountFrequency (%)
양득천 1
 
4.3%
김민환 1
 
4.3%
김민수 1
 
4.3%
이병원 1
 
4.3%
홍정표 1
 
4.3%
박성진 1
 
4.3%
홍종인 1
 
4.3%
서지혜 1
 
4.3%
안윤근 1
 
4.3%
권미화 1
 
4.3%
Other values (13) 13
56.5%
2024-04-21T16:18:23.759379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 5
 
7.0%
이 4
 
5.6%
권 3
 
4.2%
기 3
 
4.2%
민 3
 
4.2%
양 2
 
2.8%
홍 2
 
2.8%
정 2
 
2.8%
박 2
 
2.8%
미 2
 
2.8%
Other values (35) 43
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
97.2%
Space Separator 1
 
1.4%
Other Punctuation 1
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
권 3
 
4.3%
기 3
 
4.3%
민 3
 
4.3%
양 2
 
2.9%
홍 2
 
2.9%
정 2
 
2.9%
박 2
 
2.9%
미 2
 
2.9%
Other values (33) 41
59.4%
Space Separator
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
97.2%
Common 2
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
권 3
 
4.3%
기 3
 
4.3%
민 3
 
4.3%
양 2
 
2.9%
홍 2
 
2.9%
정 2
 
2.9%
박 2
 
2.9%
미 2
 
2.9%
Other values (33) 41
59.4%
Common
ValueCountFrequency (%)
1
50.0%
. 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
97.2%
ASCII 2
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 5
 
7.2%
이 4
 
5.8%
권 3
 
4.3%
기 3
 
4.3%
민 3
 
4.3%
양 2
 
2.9%
홍 2
 
2.9%
정 2
 
2.9%
박 2
 
2.9%
미 2
 
2.9%
Other values (33) 41
59.4%
ASCII
ValueCountFrequency (%)
1
50.0%
. 1
50.0%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T16:18:24.529629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique22 ?
Unique (%)100.0%

Sample

1st row053-558-7770
2nd row053-425-8669
3rd row053-588-7754
4th row053-353-8881
5th row053-954-1234
ValueCountFrequency (%)
053-558-7770 1
 
4.5%
053-425-8669 1
 
4.5%
053-651-2090 1
 
4.5%
053-355-4177 1
 
4.5%
053-588-5672 1
 
4.5%
053-593-6237 1
 
4.5%
053-643-2323 1
 
4.5%
053-321-1234 1
 
4.5%
053-628-3535 1
 
4.5%
053-285-6797 1
 
4.5%
Other values (12) 12
54.5%
2024-04-21T16:18:25.653962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 49
18.6%
- 44
16.7%
3 41
15.5%
0 31
11.7%
6 21
8.0%
7 17
 
6.4%
8 15
 
5.7%
2 15
 
5.7%
1 12
 
4.5%
4 11
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 49
22.3%
3 41
18.6%
0 31
14.1%
6 21
9.5%
7 17
 
7.7%
8 15
 
6.8%
2 15
 
6.8%
1 12
 
5.5%
4 11
 
5.0%
9 8
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 49
18.6%
- 44
16.7%
3 41
15.5%
0 31
11.7%
6 21
8.0%
7 17
 
6.4%
8 15
 
5.7%
2 15
 
5.7%
1 12
 
4.5%
4 11
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 49
18.6%
- 44
16.7%
3 41
15.5%
0 31
11.7%
6 21
8.0%
7 17
 
6.4%
8 15
 
5.7%
2 15
 
5.7%
1 12
 
4.5%
4 11
 
4.2%

영업소소재지
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-04-21T16:18:26.574691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length26.545455
Min length21

Characters and Unicode

Total characters584
Distinct characters84
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row대구광역시 서구 와룡로72길 37-4(중리동)
2nd row대구광역시 중구 명덕로55길 1. 대천빌딩 6층(대봉동)
3rd row대구광역시 달성군 다사읍 세천남로 32. 402호
4th row대구광역시 서구 염색공단천로14길 12 (비산동)
5th row대구광역시 서구 평리로35길 13-10 (중리동)
ValueCountFrequency (%)
대구광역시 22
 
19.0%
서구 11
 
9.5%
달성군 3
 
2.6%
이현동 3
 
2.6%
중리동 3
 
2.6%
달서구 3
 
2.6%
12 2
 
1.7%
북구 2
 
1.7%
609호 1
 
0.9%
달서대로 1
 
0.9%
Other values (65) 65
56.0%
2024-04-21T16:18:27.914925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
 
16.1%
구 43
 
7.4%
대 29
 
5.0%
광 22
 
3.8%
역 22
 
3.8%
시 22
 
3.8%
로 22
 
3.8%
동 20
 
3.4%
( 19
 
3.3%
1 19
 
3.3%
Other values (74) 272
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 348
59.6%
Space Separator 94
 
16.1%
Decimal Number 92
 
15.8%
Open Punctuation 19
 
3.3%
Close Punctuation 19
 
3.3%
Other Punctuation 8
 
1.4%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 43
 
12.4%
대 29
 
8.3%
광 22
 
6.3%
역 22
 
6.3%
시 22
 
6.3%
로 22
 
6.3%
동 20
 
5.7%
서 16
 
4.6%
길 12
 
3.4%
달 9
 
2.6%
Other values (59) 131
37.6%
Decimal Number
ValueCountFrequency (%)
1 19
20.7%
2 18
19.6%
3 13
14.1%
5 10
10.9%
6 7
 
7.6%
0 7
 
7.6%
4 6
 
6.5%
9 6
 
6.5%
7 5
 
5.4%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Other Punctuation
ValueCountFrequency (%)
. 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 348
59.6%
Common 236
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 43
 
12.4%
대 29
 
8.3%
광 22
 
6.3%
역 22
 
6.3%
시 22
 
6.3%
로 22
 
6.3%
동 20
 
5.7%
서 16
 
4.6%
길 12
 
3.4%
달 9
 
2.6%
Other values (59) 131
37.6%
Common
ValueCountFrequency (%)
94
39.8%
( 19
 
8.1%
1 19
 
8.1%
) 19
 
8.1%
2 18
 
7.6%
3 13
 
5.5%
5 10
 
4.2%
. 8
 
3.4%
6 7
 
3.0%
0 7
 
3.0%
Other values (5) 22
 
9.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 348
59.6%
ASCII 236
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
39.8%
( 19
 
8.1%
1 19
 
8.1%
) 19
 
8.1%
2 18
 
7.6%
3 13
 
5.5%
5 10
 
4.2%
. 8
 
3.4%
6 7
 
3.0%
0 7
 
3.0%
Other values (5) 22
 
9.3%
Hangul
ValueCountFrequency (%)
구 43
 
12.4%
대 29
 
8.3%
광 22
 
6.3%
역 22
 
6.3%
시 22
 
6.3%
로 22
 
6.3%
동 20
 
5.7%
서 16
 
4.6%
길 12
 
3.4%
달 9
 
2.6%
Other values (59) 131
37.6%

휴폐업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
정상
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 22
100.0%

Length

2024-04-21T16:18:28.318986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:18:28.627237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 22
100.0%

종별
Categorical

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size304.0 B
수질
12 
대기
9 
대기. 수질. 유독물
 
1

Length

Max length11
Median length2
Mean length2.4090909
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row대기
2nd row대기
3rd row수질
4th row대기
5th row대기

Common Values

ValueCountFrequency (%)
수질 12
54.5%
대기 9
40.9%
대기. 수질. 유독물 1
 
4.5%

Length

2024-04-21T16:18:28.944280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T16:18:29.262818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수질 13
54.2%
대기 10
41.7%
유독물 1
 
4.2%

Interactions

2024-04-21T16:18:17.225480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T16:18:29.470871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번인허가등록번호상호대표자명전화번호영업소소재지종별
순번1.0001.0001.0001.0001.0001.0000.000
인허가등록번호1.0001.0001.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
영업소소재지1.0001.0001.0001.0001.0001.0001.000
종별0.0001.0001.0001.0001.0001.0001.000
2024-04-21T16:18:29.743289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종별
순번1.0000.000
종별0.0001.000

Missing values

2024-04-21T16:18:17.545345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T16:18:17.964747image/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

순번인허가등록번호상호대표자명전화번호영업소소재지휴폐업구분종별
016270000-10-2022-00002(주)정도엔지니어링양득천053-558-7770대구광역시 서구 와룡로72길 37-4(중리동)정상대기
126270000-10-2021-00005(주)대림종합환경이석희053-425-8669대구광역시 중구 명덕로55길 1. 대천빌딩 6층(대봉동)정상대기
236270000-10-2021-00004케이텍솔루션(주)황병대053-588-7754대구광역시 달성군 다사읍 세천남로 32. 402호정상수질
346270000-10-2021-00002(주)대구환경연구소안혜민053-353-8881대구광역시 서구 염색공단천로14길 12 (비산동)정상대기
456270000-10-2021-00001(주)오늘환경측정권종욱053-954-1234대구광역시 서구 평리로35길 13-10 (중리동)정상대기
566270000-10-2020-00002(주)신라엔텍이성노053-562-1606대구광역시 서구 와룡로87길 24 (이현동)정상대기. 수질. 유독물
676270000-10-2020-00001(주)삼보환경양기칠053-636-6862대구광역시 서구 염색공단천로 2. 3층(비산동)정상수질
786270000-10-2019-00005(주)티피엘환경김미향053-567-8131대구광역시 서구 와룡로69길 34 (중리동)정상수질
896270000-10-2019-00003기림환경산업(주)이인규053-768-5472대구광역시 수성구 청수로 10. 3층 (중동)정상수질
9106270000-10-2018-00002에이치디이엔씨(주)박상권053-564-0001대구광역시 서구 국채보상로19길 15 (이현동)정상수질
순번인허가등록번호상호대표자명전화번호영업소소재지휴폐업구분종별
12136270000-10-2015-00003대명환경화학김민환053-561-0379대구광역시 서구 와룡로65길 21. 201호 (중리동)정상수질
13146270000-10-2015-00002로드환경산업정신교053-285-6797대구광역시 서구 염색공단천로3길 15-1(비산동)정상대기
14156270000-10-2015-00001(주)대영종합환경권미화053-628-3535대구광역시 남구 대명남로 160 (대명동)정상수질
15166270000-10-2014-00001(주)삼안환경측정안윤근053-321-1234대구광역시 북구 팔달북로15길 12 (노원동3가)정상대기
16176270000-10-2013-00018(주)금창엔지니어링서지혜053-643-2323대구광역시 달성군 화원읍 성천로 122정상수질
17186270000-10-2013-00017(주)대일환경기술홍종인053-593-6237대구광역시 달서구 달서대로 559. 609호 (신당동.이앤씨이노비즈타워)정상수질
18196270000-10-2013-00015대동환경측정(주)박성진053-588-5672대구광역시 달서구 평리로 92 (죽전동)정상대기
19206270000-10-2013-00013케이지엔텍홍정표. 이병원053-355-4177대구광역시 서구 서대구로 230 (평리동)정상대기
20216270000-10-2013-00003제일환경김민수053-651-2090대구광역시 달성군 옥포면 비슬로453길 3정상수질
21226270000-10-2013-00001대일이엔씨김기열053-555-0457대구광역시 북구 유통단지로 16. 6동 2층 23호 (산격동)정상수질