Overview

Dataset statistics

Number of variables10
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory87.3 B

Variable types

Numeric1
Categorical6
Text2
DateTime1

Dataset

Description남동구 환경법 위반업체 현황으로 연번,기준연도,반기구분,업소명,소재지,업종명,위반내역,위반법령,처분사항,처분확정일자 데이터를 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15087367

Alerts

반기구분 has constant value ""Constant
위반법령 is highly overall correlated with 업종명 and 2 other fieldsHigh correlation
위반내역 is highly overall correlated with 기준연도 and 3 other fieldsHigh correlation
연번 is highly overall correlated with 기준연도High correlation
기준연도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 위반내역 and 2 other fieldsHigh correlation
처분사항 is highly overall correlated with 업종명 and 2 other fieldsHigh correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 16:44:03.238809
Analysis finished2024-01-28 16:44:04.092247
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2024-01-29T01:44:04.156755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2024-01-29T01:44:04.306559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

기준연도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2022
21 
2021
4 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 21
84.0%
2021 4
 
16.0%

Length

2024-01-29T01:44:04.457387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:44:04.592240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 21
84.0%
2021 4
 
16.0%

반기구분
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
상반기
25 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상반기 25
100.0%

Length

2024-01-29T01:44:04.743443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:44:04.861779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상반기 25
100.0%

업소명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-29T01:44:05.061081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.44
Min length4

Characters and Unicode

Total characters186
Distinct characters98
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row인천 디테일링 성형외카
2nd row금강자동차공업사
3rd row제니스모터스
4th row내일비안와요
5th row(주)엠알메탈로 1공장
ValueCountFrequency (%)
인천 1
 
3.6%
디테일링 1
 
3.6%
선수촌주유소 1
 
3.6%
서광주유소 1
 
3.6%
신향주유소 1
 
3.6%
현대오일뱅크㈜직영수인주유소 1
 
3.6%
신신교통(주 1
 
3.6%
광창정공사 1
 
3.6%
워시홀릭파크 1
 
3.6%
궁전금속 1
 
3.6%
Other values (18) 18
64.3%
2024-01-29T01:44:05.433146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 7
 
3.8%
주 7
 
3.8%
소 7
 
3.8%
유 5
 
2.7%
장 5
 
2.7%
인 4
 
2.2%
동 4
 
2.2%
사 4
 
2.2%
천 4
 
2.2%
( 4
 
2.2%
Other values (88) 135
72.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
90.9%
Open Punctuation 4
 
2.2%
Close Punctuation 4
 
2.2%
Other Symbol 3
 
1.6%
Space Separator 3
 
1.6%
Decimal Number 3
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 7
 
4.1%
주 7
 
4.1%
소 7
 
4.1%
유 5
 
3.0%
장 5
 
3.0%
인 4
 
2.4%
동 4
 
2.4%
사 4
 
2.4%
천 4
 
2.4%
일 4
 
2.4%
Other values (81) 118
69.8%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
2 1
33.3%
4 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
92.5%
Common 14
 
7.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 7
 
4.1%
주 7
 
4.1%
소 7
 
4.1%
유 5
 
2.9%
장 5
 
2.9%
인 4
 
2.3%
동 4
 
2.3%
사 4
 
2.3%
천 4
 
2.3%
일 4
 
2.3%
Other values (82) 121
70.3%
Common
ValueCountFrequency (%)
( 4
28.6%
) 4
28.6%
3
21.4%
1 1
 
7.1%
2 1
 
7.1%
4 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
90.9%
ASCII 14
 
7.5%
None 3
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 7
 
4.1%
주 7
 
4.1%
소 7
 
4.1%
유 5
 
3.0%
장 5
 
3.0%
인 4
 
2.4%
동 4
 
2.4%
사 4
 
2.4%
천 4
 
2.4%
일 4
 
2.4%
Other values (81) 118
69.8%
ASCII
ValueCountFrequency (%)
( 4
28.6%
) 4
28.6%
3
21.4%
1 1
 
7.1%
2 1
 
7.1%
4 1
 
7.1%
None
ValueCountFrequency (%)
㈜ 3
100.0%

소재지
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2024-01-29T01:44:05.692562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length15.36
Min length10

Characters and Unicode

Total characters384
Distinct characters63
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

Unique25 ?
Unique (%)100.0%

Sample

1st row고잔로 3(고잔동)
2nd row석산로 237-1(간석동)
3rd row장승로 68(만수동)
4th row문화로245번길 33(간석동)
5th row앵고개로719번길 84(고잔동)
ValueCountFrequency (%)
백범로 2
 
3.7%
음실로 2
 
3.7%
고잔로 1
 
1.9%
청능대로468번길 1
 
1.9%
남동대로370번길 1
 
1.9%
106(논현동 1
 
1.9%
소래로 1
 
1.9%
446(수산동 1
 
1.9%
만월북로2번길 1
 
1.9%
11-29(간석동 1
 
1.9%
Other values (42) 42
77.8%
2024-01-29T01:44:06.115871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
7.6%
동 29
 
7.6%
( 23
 
6.0%
) 23
 
6.0%
1 22
 
5.7%
로 21
 
5.5%
4 16
 
4.2%
3 13
 
3.4%
2 13
 
3.4%
8 12
 
3.1%
Other values (53) 183
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
46.9%
Decimal Number 115
29.9%
Space Separator 29
 
7.6%
Open Punctuation 23
 
6.0%
Close Punctuation 23
 
6.0%
Dash Punctuation 11
 
2.9%
Other Punctuation 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 29
16.1%
로 21
 
11.7%
번 12
 
6.7%
길 10
 
5.6%
석 9
 
5.0%
고 8
 
4.4%
간 8
 
4.4%
잔 7
 
3.9%
월 6
 
3.3%
수 5
 
2.8%
Other values (38) 65
36.1%
Decimal Number
ValueCountFrequency (%)
1 22
19.1%
4 16
13.9%
3 13
11.3%
2 13
11.3%
8 12
10.4%
7 9
7.8%
6 9
7.8%
9 9
7.8%
5 8
 
7.0%
0 4
 
3.5%
Space Separator
ValueCountFrequency (%)
29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
53.1%
Hangul 180
46.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 29
16.1%
로 21
 
11.7%
번 12
 
6.7%
길 10
 
5.6%
석 9
 
5.0%
고 8
 
4.4%
간 8
 
4.4%
잔 7
 
3.9%
월 6
 
3.3%
수 5
 
2.8%
Other values (38) 65
36.1%
Common
ValueCountFrequency (%)
29
14.2%
( 23
11.3%
) 23
11.3%
1 22
10.8%
4 16
7.8%
3 13
 
6.4%
2 13
 
6.4%
8 12
 
5.9%
- 11
 
5.4%
7 9
 
4.4%
Other values (5) 33
16.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
53.1%
Hangul 180
46.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
14.2%
( 23
11.3%
) 23
11.3%
1 22
10.8%
4 16
7.8%
3 13
 
6.4%
2 13
 
6.4%
8 12
 
5.9%
- 11
 
5.4%
7 9
 
4.4%
Other values (5) 33
16.2%
Hangul
ValueCountFrequency (%)
동 29
16.1%
로 21
 
11.7%
번 12
 
6.7%
길 10
 
5.6%
석 9
 
5.0%
고 8
 
4.4%
간 8
 
4.4%
잔 7
 
3.9%
월 6
 
3.3%
수 5
 
2.8%
Other values (38) 65
36.1%

업종명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
자동차 세차업
8 
주유소
5 
관공서
3 
폐수처리업
1 
도장및기타피막처리업
1 
Other values (7)
7 

Length

Max length10
Median length8
Mean length5.96
Min length3

Unique

Unique9 ?
Unique (%)36.0%

Sample

1st row자동차 세차업
2nd row자동차 세차업
3rd row자동차 세차업
4th row자동차 세차업
5th row폐수처리업

Common Values

ValueCountFrequency (%)
자동차 세차업 8
32.0%
주유소 5
20.0%
관공서 3
 
12.0%
폐수처리업 1
 
4.0%
도장및기타피막처리업 1
 
4.0%
일반용도료제조 1
 
4.0%
고무제품 제조업 1
 
4.0%
자동차 종합 수리업 1
 
4.0%
주방용품 제조업 1
 
4.0%
금속열처리업 1
 
4.0%
Other values (2) 2
 
8.0%

Length

2024-01-29T01:44:06.269491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자동차 10
26.3%
세차업 8
21.1%
주유소 5
13.2%
관공서 3
 
7.9%
제조업 2
 
5.3%
폐수처리업 1
 
2.6%
도장및기타피막처리업 1
 
2.6%
일반용도료제조 1
 
2.6%
고무제품 1
 
2.6%
종합 1
 
2.6%
Other values (5) 5
13.2%

위반내역
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
배출허용기준 초과
9 
유증기회수설비 정기검사 부적합
5 
토양오염 정밀조사 결과 부적합
3 
미신고 설치 및 운영
3 
운영일지 미작성
2 
Other values (2)
3 

Length

Max length16
Median length14
Mean length11.96
Min length8

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row배출허용기준 초과
2nd row배출허용기준 초과
3rd row운영일지 미작성
4th row배출허용기준 초과
5th row배출허용기준 초과

Common Values

ValueCountFrequency (%)
배출허용기준 초과 9
36.0%
유증기회수설비 정기검사 부적합 5
20.0%
토양오염 정밀조사 결과 부적합 3
 
12.0%
미신고 설치 및 운영 3
 
12.0%
운영일지 미작성 2
 
8.0%
환경기술인 법정교육 미이수 2
 
8.0%
운영일지 미보존(미작성) 1
 
4.0%

Length

2024-01-29T01:44:06.423431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:44:06.565254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배출허용기준 9
13.0%
초과 9
13.0%
부적합 8
11.6%
유증기회수설비 5
 
7.2%
정기검사 5
 
7.2%
운영일지 3
 
4.3%
운영 3
 
4.3%
및 3
 
4.3%
설치 3
 
4.3%
미신고 3
 
4.3%
Other values (8) 18
26.1%

위반법령
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
대기환경보전법 제44조8항
5 
물환경보전법 제32조
3 
물환경보전법 제33조
3 
악취방지법 제7조
3 
토양환경보전법 제15조제3항
3 
Other values (4)
8 

Length

Max length15
Median length14
Mean length12.68
Min length9

Unique

Unique1 ?
Unique (%)4.0%

Sample

1st row물환경보전법 제32조
2nd row물환경보전법 제33조
3rd row물환경보전법 제38조 제3항
4th row물환경보전법 제33조
5th row물환경보전법 제33조

Common Values

ValueCountFrequency (%)
대기환경보전법 제44조8항 5
20.0%
물환경보전법 제32조 3
12.0%
물환경보전법 제33조 3
12.0%
악취방지법 제7조 3
12.0%
토양환경보전법 제15조제3항 3
12.0%
대기환경보전법 제23조제1항 3
12.0%
물환경보전법 제38조 제3항 2
 
8.0%
물환경보전법 제67조 2
 
8.0%
대기환경보전법 제31조 1
 
4.0%

Length

2024-01-29T01:44:06.722970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:44:06.857898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물환경보전법 10
19.2%
대기환경보전법 9
17.3%
제44조8항 5
9.6%
제32조 3
 
5.8%
제33조 3
 
5.8%
악취방지법 3
 
5.8%
제7조 3
 
5.8%
토양환경보전법 3
 
5.8%
제15조제3항 3
 
5.8%
제23조제1항 3
 
5.8%
Other values (4) 7
13.5%

처분사항
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)32.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
개선명령
11 
경고 및 과태료
3 
조치명령
3 
개선명령초과배출부과금
2 
과태료
2 
Other values (3)
4 

Length

Max length11
Median length4
Mean length5.8
Min length3

Unique

Unique2 ?
Unique (%)8.0%

Sample

1st row개선명령
2nd row개선명령초과배출부과금
3rd row경고 및 과태료
4th row개선명령초과배출부과금
5th row조업정지초과배출부과금

Common Values

ValueCountFrequency (%)
개선명령 11
44.0%
경고 및 과태료 3
 
12.0%
조치명령 3
 
12.0%
개선명령초과배출부과금 2
 
8.0%
과태료 2
 
8.0%
사용중지(처분전종결) 2
 
8.0%
조업정지초과배출부과금 1
 
4.0%
폐쇄명령 1
 
4.0%

Length

2024-01-29T01:44:07.048623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T01:44:07.205810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개선명령 11
35.5%
과태료 5
16.1%
경고 3
 
9.7%
및 3
 
9.7%
조치명령 3
 
9.7%
개선명령초과배출부과금 2
 
6.5%
사용중지(처분전종결 2
 
6.5%
조업정지초과배출부과금 1
 
3.2%
폐쇄명령 1
 
3.2%

처분확정일자
Date

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
Minimum2022-02-07 00:00:00
Maximum2022-06-29 00:00:00
2024-01-29T01:44:07.368491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T01:44:07.516030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

Interactions

2024-01-29T01:44:03.737715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T01:44:07.625800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기준연도업소명소재지업종명위반내역위반법령처분사항처분확정일자
연번1.0000.9801.0001.0000.6520.6430.6420.3740.786
기준연도0.9801.0001.0001.0000.7550.5380.5040.0000.685
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
업종명0.6520.7551.0001.0001.0000.9130.9100.9300.966
위반내역0.6430.5381.0001.0000.9131.0001.0000.8990.943
위반법령0.6420.5041.0001.0000.9101.0001.0000.9160.993
처분사항0.3740.0001.0001.0000.9300.8990.9161.0000.878
처분확정일자0.7860.6851.0001.0000.9660.9430.9930.8781.000
2024-01-29T01:44:07.766885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처분사항기준연도위반법령업종명위반내역
처분사항1.0000.0000.7330.6240.731
기준연도0.0001.0000.4100.4390.505
위반법령0.7330.4101.0000.6160.943
업종명0.6240.4390.6161.0000.642
위반내역0.7310.5050.9430.6421.000
2024-01-29T01:44:07.880113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기준연도업종명위반내역위반법령처분사항
연번1.0000.7050.3710.3900.3650.218
기준연도0.7051.0000.4390.5050.4100.000
업종명0.3710.4391.0000.6420.6160.624
위반내역0.3900.5050.6421.0000.9430.731
위반법령0.3650.4100.6160.9431.0000.733
처분사항0.2180.0000.6240.7310.7331.000

Missing values

2024-01-29T01:44:03.867638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T01:44:04.024660image/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

연번기준연도반기구분업소명소재지업종명위반내역위반법령처분사항처분확정일자
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122022상반기금강자동차공업사석산로 237-1(간석동)자동차 세차업배출허용기준 초과물환경보전법 제33조개선명령초과배출부과금2022-02-28
232022상반기제니스모터스장승로 68(만수동)자동차 세차업운영일지 미작성물환경보전법 제38조 제3항경고 및 과태료2022-03-25
342022상반기내일비안와요문화로245번길 33(간석동)자동차 세차업배출허용기준 초과물환경보전법 제33조개선명령초과배출부과금2022-03-28
452022상반기(주)엠알메탈로 1공장앵고개로719번길 84(고잔동)폐수처리업배출허용기준 초과물환경보전법 제33조조업정지초과배출부과금2022-04-13
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672022상반기아천특수도장은봉로16번길 12도장및기타피막처리업배출허용기준 초과악취방지법 제7조개선명령2022-04-06
782022상반기서창24시세차장장아산로174번길 31-1(서창동)자동차 세차업운영일지 미작성물환경보전법 제38조 제3항경고 및 과태료2022-04-07
892022상반기영화물산㈜고잔동 682-19번지(고잔동)일반용도료제조배출허용기준 초과악취방지법 제7조개선명령2022-04-21
9102022상반기인천광역시(인천대공원사업소)만수동 116-56번지 일원(만수동)관공서토양오염 정밀조사 결과 부적합토양환경보전법 제15조제3항조치명령2022-05-03
연번기준연도반기구분업소명소재지업종명위반내역위반법령처분사항처분확정일자
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16172022상반기궁전금속만월북로112번길 134-9(간석동)주방용품 제조업미신고 설치 및 운영대기환경보전법 제23조제1항폐쇄명령2022-05-18
17182022상반기워시홀릭파크청능대로468번길 13(고잔동)자동차 세차업배출허용기준 초과물환경보전법 제32조개선명령2022-06-07
18192022상반기광창정공사남동서로84번길 64(고잔동)금속열처리업배출허용기준 초과악취방지법 제7조개선명령2022-06-10
19202022상반기신신교통(주)염전로 417(간석동)자동차 정비업운영일지 미보존(미작성)대기환경보전법 제31조경고 및 과태료2022-06-13
20212022상반기현대오일뱅크㈜직영수인주유소백범로 255(구월동)주유소유증기회수설비 정기검사 부적합대기환경보전법 제44조8항개선명령2022-06-23
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