Overview

Dataset statistics

Number of variables5
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory43.2 B

Variable types

Categorical2
Text3

Dataset

Description제주특별자치도 내 유해화학물질을 다루는 사업장과 관련하여 유독물 판매 및 사용업의 업종, 업체명, 주소, 취급물질명 등 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15056016/fileData.do

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2023-12-12 11:46:01.681864
Analysis finished2023-12-12 11:46:02.207101
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct5
Distinct (%)12.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
판매업(페인트)
22 
판매업(알선)
9 
사용업
5 
판매업(취급시설 보유)
4 
제조업
 
1

Length

Max length12
Median length8
Mean length7.4390244
Min length3

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row판매업(페인트)
2nd row판매업(취급시설 보유)
3rd row판매업(페인트)
4th row판매업(알선)
5th row판매업(페인트)

Common Values

ValueCountFrequency (%)
판매업(페인트) 22
53.7%
판매업(알선) 9
22.0%
사용업 5
 
12.2%
판매업(취급시설 보유) 4
 
9.8%
제조업 1
 
2.4%

Length

2023-12-12T20:46:02.268337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:46:02.398951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
판매업(페인트 22
48.9%
판매업(알선 9
20.0%
사용업 5
 
11.1%
판매업(취급시설 4
 
8.9%
보유 4
 
8.9%
제조업 1
 
2.2%

업체명
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:46:02.707462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13
Mean length9.1463415
Min length3

Characters and Unicode

Total characters375
Distinct characters116
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)90.2%

Sample

1st row형제상사 주식회사
2nd row칠성화학환경개발
3rd row제주산업 (노루페인트)
4th row하나과학
5th row벽산케미칼
ValueCountFrequency (%)
전자담배 4
 
6.2%
백화점 3
 
4.6%
정품 3
 
4.6%
제주맑음 2
 
3.1%
한양페인트 2
 
3.1%
노루페인트 2
 
3.1%
한국중부발전㈜제주발전본부 1
 
1.5%
유가공공장 1
 
1.5%
형제상사 1
 
1.5%
주식회사 1
 
1.5%
Other values (45) 45
69.2%
2023-12-12T20:46:03.165512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
6.4%
제 20
 
5.3%
주 18
 
4.8%
인 14
 
3.7%
페 13
 
3.5%
트 13
 
3.5%
사 11
 
2.9%
전 9
 
2.4%
점 8
 
2.1%
부 8
 
2.1%
Other values (106) 237
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 333
88.8%
Space Separator 24
 
6.4%
Other Symbol 5
 
1.3%
Close Punctuation 4
 
1.1%
Open Punctuation 4
 
1.1%
Uppercase Letter 3
 
0.8%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 20
 
6.0%
주 18
 
5.4%
인 14
 
4.2%
페 13
 
3.9%
트 13
 
3.9%
사 11
 
3.3%
전 9
 
2.7%
점 8
 
2.4%
부 8
 
2.4%
화 7
 
2.1%
Other values (98) 212
63.7%
Uppercase Letter
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
24
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
90.1%
Common 34
 
9.1%
Latin 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 20
 
5.9%
주 18
 
5.3%
인 14
 
4.1%
페 13
 
3.8%
트 13
 
3.8%
사 11
 
3.3%
전 9
 
2.7%
점 8
 
2.4%
부 8
 
2.4%
화 7
 
2.1%
Other values (99) 217
64.2%
Common
ValueCountFrequency (%)
24
70.6%
) 4
 
11.8%
( 4
 
11.8%
. 2
 
5.9%
Latin
ValueCountFrequency (%)
F 1
33.3%
R 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 333
88.8%
ASCII 37
 
9.9%
None 5
 
1.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
64.9%
) 4
 
10.8%
( 4
 
10.8%
. 2
 
5.4%
F 1
 
2.7%
R 1
 
2.7%
P 1
 
2.7%
Hangul
ValueCountFrequency (%)
제 20
 
6.0%
주 18
 
5.4%
인 14
 
4.2%
페 13
 
3.9%
트 13
 
3.9%
사 11
 
3.3%
전 9
 
2.7%
점 8
 
2.4%
부 8
 
2.4%
화 7
 
2.1%
Other values (98) 212
63.7%
None
ValueCountFrequency (%)
㈜ 5
100.0%

주소
Text

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:46:03.461800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length21.292683
Min length18

Characters and Unicode

Total characters873
Distinct characters80
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

Unique39 ?
Unique (%)95.1%

Sample

1st row제주특별자치도 제주시 화남로 51
2nd row제주특별자치도 제주시 화남로 72
3rd row제주특별자치도 서귀포시 대정읍 하모상가로 26
4th row제주특별자치도 제주시 황사평길 75
5th row제주특별자치도 제주시 아봉로 198
ValueCountFrequency (%)
제주특별자치도 41
23.2%
제주시 29
 
16.4%
서귀포시 12
 
6.8%
선반로 3
 
1.7%
중앙로 3
 
1.7%
동광로 3
 
1.7%
일주동로 3
 
1.7%
118 2
 
1.1%
연삼로 2
 
1.1%
전농로 2
 
1.1%
Other values (72) 77
43.5%
2023-12-12T20:46:03.881773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
157
18.0%
주 73
 
8.4%
제 70
 
8.0%
도 43
 
4.9%
특 41
 
4.7%
별 41
 
4.7%
자 41
 
4.7%
치 41
 
4.7%
시 41
 
4.7%
로 38
 
4.4%
Other values (70) 287
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 585
67.0%
Space Separator 157
 
18.0%
Decimal Number 125
 
14.3%
Dash Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 73
12.5%
제 70
12.0%
도 43
 
7.4%
특 41
 
7.0%
별 41
 
7.0%
자 41
 
7.0%
치 41
 
7.0%
시 41
 
7.0%
로 38
 
6.5%
귀 13
 
2.2%
Other values (58) 143
24.4%
Decimal Number
ValueCountFrequency (%)
1 31
24.8%
5 16
12.8%
7 11
 
8.8%
2 11
 
8.8%
3 11
 
8.8%
6 11
 
8.8%
0 11
 
8.8%
8 10
 
8.0%
4 8
 
6.4%
9 5
 
4.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 585
67.0%
Common 288
33.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 73
12.5%
제 70
12.0%
도 43
 
7.4%
특 41
 
7.0%
별 41
 
7.0%
자 41
 
7.0%
치 41
 
7.0%
시 41
 
7.0%
로 38
 
6.5%
귀 13
 
2.2%
Other values (58) 143
24.4%
Common
ValueCountFrequency (%)
157
54.5%
1 31
 
10.8%
5 16
 
5.6%
7 11
 
3.8%
2 11
 
3.8%
3 11
 
3.8%
6 11
 
3.8%
0 11
 
3.8%
8 10
 
3.5%
4 8
 
2.8%
Other values (2) 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 585
67.0%
ASCII 288
33.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
157
54.5%
1 31
 
10.8%
5 16
 
5.6%
7 11
 
3.8%
2 11
 
3.8%
3 11
 
3.8%
6 11
 
3.8%
0 11
 
3.8%
8 10
 
3.5%
4 8
 
2.8%
Other values (2) 11
 
3.8%
Hangul
ValueCountFrequency (%)
주 73
12.5%
제 70
12.0%
도 43
 
7.4%
특 41
 
7.0%
별 41
 
7.0%
자 41
 
7.0%
치 41
 
7.0%
시 41
 
7.0%
로 38
 
6.5%
귀 13
 
2.2%
Other values (58) 143
24.4%

취급물질명
Text

Distinct26
Distinct (%)63.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T20:46:04.086384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length462
Median length168
Mean length86.97561
Min length3

Characters and Unicode

Total characters3566
Distinct characters169
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)51.2%

Sample

1st rowN.N-디메틸포름아미드+메틸에틸케톤+과산화 벤조일+4.4‘-메틸렌비스(2-클로로아닐린)+4.4‘-디이소시안산 디페닐메탄+2-메톡시에탄올+2-에톡시에탄올+아세트산 에틸+1-메틸-2-피롤리디논+과산화2-부타논+염료 황색 34+트리글리시딜 이소시아누레이트+크롬산납+크롬산스트론티움+몰리브덴적
2nd row수산화나트륨(98%+20%.50%)+염화수소(35%)+암모니아(25%)+히드라진(50%)+메틸알코올(95%)+황산(98%)+과산화수소(35%)+플루오르화수소(55%)+질산(60%)+톨루엔(100%)+벤젠(100%)+시안화칼륨(100%)+수산화칼륨(85%)+폼알데하이드(35~40%)+황산(98%)+과산화수소(35%)+플루오르화수소(55%)+질산(60%)+톨루엔+크실렌+벤젠+메틸에틸케톤+시안화칼륨수산화칼륨(85%)+폼알데하이드(35~40%) 트리클로로에틸렌 테트라크로로에틸렌
3rd row메탄올+N.N-디메틸포름아미드+메틸에틸케톤+아크릴아미드+디부틸 프탈레이트+과산화벤조일+2-퓨란메탄올+4.4'-메틸렌비스(2-클로로아니린).4.4‘-디이소시안산 디페닐메탄+4.4‘-메틸렌다이아닐린+아크릴로니트릴+m-크레졸+톨루엔+페놀+2-메톡시에탄올+2-에톡시에탄올+비스(2-에틸헥실)프탈레이트+지람+아세트산에틸+1-메틸-2-피롤리디논+크실레놀
4th row수산화 나트륨+황산.히드라진.암모늄수산화물.염산
5th row크로뮴(6+)화합물 pigment yellow 34 등 4종
ValueCountFrequency (%)
황색 20
 
13.2%
니코틴 7
 
4.6%
36 6
 
4.0%
에틸.1-메틸-2-피롤리디논.염료 5
 
3.3%
34.크롬산납.몰리브덴적.안료 5
 
3.3%
n.n-디메틸포름아미드.메틸에틸케톤.과산화 5
 
3.3%
벤조일.4.4‘-메틸렌비스(2-클로로아닐린).4.4‘-디이소시안산 5
 
3.3%
디페닐메탄.2-메톡시에탄올.2-에톡시에탄올.아세트산 5
 
3.3%
과산화 5
 
3.3%
벤조일.4.4‘-메틸렌비스(2-클로로아닐린).아세트산 4
 
2.6%
Other values (68) 84
55.6%
2023-12-12T20:46:04.459635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 254
 
7.1%
- 189
 
5.3%
+ 134
 
3.8%
틸 125
 
3.5%
산 120
 
3.4%
메 111
 
3.1%
111
 
3.1%
4 94
 
2.6%
아 89
 
2.5%
2 85
 
2.4%
Other values (159) 2254
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2296
64.4%
Decimal Number 306
 
8.6%
Other Punctuation 287
 
8.0%
Dash Punctuation 189
 
5.3%
Math Symbol 136
 
3.8%
Space Separator 111
 
3.1%
Close Punctuation 68
 
1.9%
Open Punctuation 68
 
1.9%
Lowercase Letter 46
 
1.3%
Initial Punctuation 31
 
0.9%
Other values (2) 28
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
틸 125
 
5.4%
산 120
 
5.2%
메 111
 
4.8%
아 89
 
3.9%
에 79
 
3.4%
트 71
 
3.1%
화 70
 
3.0%
디 64
 
2.8%
크 62
 
2.7%
로 60
 
2.6%
Other values (118) 1445
62.9%
Lowercase Letter
ValueCountFrequency (%)
o 7
15.2%
m 7
15.2%
l 5
10.9%
i 5
10.9%
e 3
6.5%
n 3
6.5%
t 3
6.5%
h 2
 
4.3%
c 2
 
4.3%
y 2
 
4.3%
Other values (7) 7
15.2%
Decimal Number
ValueCountFrequency (%)
4 94
30.7%
2 85
27.8%
3 33
 
10.8%
1 27
 
8.8%
6 22
 
7.2%
5 21
 
6.9%
0 15
 
4.9%
8 5
 
1.6%
9 4
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 254
88.5%
% 28
 
9.8%
' 5
 
1.7%
Math Symbol
ValueCountFrequency (%)
+ 134
98.5%
~ 2
 
1.5%
Close Punctuation
ValueCountFrequency (%)
) 66
97.1%
] 2
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 66
97.1%
[ 2
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
N 26
96.3%
D 1
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 31
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2296
64.4%
Common 1196
33.5%
Latin 74
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
틸 125
 
5.4%
산 120
 
5.2%
메 111
 
4.8%
아 89
 
3.9%
에 79
 
3.4%
트 71
 
3.1%
화 70
 
3.0%
디 64
 
2.8%
크 62
 
2.7%
로 60
 
2.6%
Other values (118) 1445
62.9%
Common
ValueCountFrequency (%)
. 254
21.2%
- 189
15.8%
+ 134
11.2%
111
9.3%
4 94
 
7.9%
2 85
 
7.1%
) 66
 
5.5%
( 66
 
5.5%
3 33
 
2.8%
‘ 31
 
2.6%
Other values (11) 133
11.1%
Latin
ValueCountFrequency (%)
N 26
35.1%
o 7
 
9.5%
m 7
 
9.5%
l 5
 
6.8%
i 5
 
6.8%
e 3
 
4.1%
n 3
 
4.1%
t 3
 
4.1%
h 2
 
2.7%
c 2
 
2.7%
Other values (10) 11
14.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2296
64.4%
ASCII 1238
34.7%
Punctuation 31
 
0.9%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 254
20.5%
- 189
15.3%
+ 134
10.8%
111
9.0%
4 94
 
7.6%
2 85
 
6.9%
) 66
 
5.3%
( 66
 
5.3%
3 33
 
2.7%
% 28
 
2.3%
Other values (29) 178
14.4%
Hangul
ValueCountFrequency (%)
틸 125
 
5.4%
산 120
 
5.2%
메 111
 
4.8%
아 89
 
3.9%
에 79
 
3.4%
트 71
 
3.1%
화 70
 
3.0%
디 64
 
2.8%
크 62
 
2.7%
로 60
 
2.6%
Other values (118) 1445
62.9%
Punctuation
ValueCountFrequency (%)
‘ 31
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
2019-09-30
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-09-30
2nd row2019-09-30
3rd row2019-09-30
4th row2019-09-30
5th row2019-09-30

Common Values

ValueCountFrequency (%)
2019-09-30 41
100.0%

Length

2023-12-12T20:46:04.612256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:46:04.731098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-09-30 41
100.0%

Correlations

2023-12-12T20:46:04.803030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업체명주소취급물질명
업종1.0000.0000.0000.734
업체명0.0001.0001.0000.992
주소0.0001.0001.0001.000
취급물질명0.7340.9921.0001.000

Missing values

2023-12-12T20:46:02.057453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:46:02.163970image/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

업종업체명주소취급물질명데이터기준일자
0판매업(페인트)형제상사 주식회사제주특별자치도 제주시 화남로 51N.N-디메틸포름아미드+메틸에틸케톤+과산화 벤조일+4.4‘-메틸렌비스(2-클로로아닐린)+4.4‘-디이소시안산 디페닐메탄+2-메톡시에탄올+2-에톡시에탄올+아세트산 에틸+1-메틸-2-피롤리디논+과산화2-부타논+염료 황색 34+트리글리시딜 이소시아누레이트+크롬산납+크롬산스트론티움+몰리브덴적2019-09-30
1판매업(취급시설 보유)칠성화학환경개발제주특별자치도 제주시 화남로 72수산화나트륨(98%+20%.50%)+염화수소(35%)+암모니아(25%)+히드라진(50%)+메틸알코올(95%)+황산(98%)+과산화수소(35%)+플루오르화수소(55%)+질산(60%)+톨루엔(100%)+벤젠(100%)+시안화칼륨(100%)+수산화칼륨(85%)+폼알데하이드(35~40%)+황산(98%)+과산화수소(35%)+플루오르화수소(55%)+질산(60%)+톨루엔+크실렌+벤젠+메틸에틸케톤+시안화칼륨수산화칼륨(85%)+폼알데하이드(35~40%) 트리클로로에틸렌 테트라크로로에틸렌2019-09-30
2판매업(페인트)제주산업 (노루페인트)제주특별자치도 서귀포시 대정읍 하모상가로 26메탄올+N.N-디메틸포름아미드+메틸에틸케톤+아크릴아미드+디부틸 프탈레이트+과산화벤조일+2-퓨란메탄올+4.4'-메틸렌비스(2-클로로아니린).4.4‘-디이소시안산 디페닐메탄+4.4‘-메틸렌다이아닐린+아크릴로니트릴+m-크레졸+톨루엔+페놀+2-메톡시에탄올+2-에톡시에탄올+비스(2-에틸헥실)프탈레이트+지람+아세트산에틸+1-메틸-2-피롤리디논+크실레놀2019-09-30
3판매업(알선)하나과학제주특별자치도 제주시 황사평길 75수산화 나트륨+황산.히드라진.암모늄수산화물.염산2019-09-30
4판매업(페인트)벽산케미칼제주특별자치도 제주시 아봉로 198크로뮴(6+)화합물 pigment yellow 34 등 4종2019-09-30
5판매업(페인트)노루페인트 한성건업제주특별자치도 서귀포시 서홍로 11크로뮴(6+)화합물2019-09-30
6판매업(페인트)한양페인트 백화점제주특별자치도 제주시 용문로 118N.N-디메틸포름아미드.메틸에틸케톤.과산화 벤조일.4.4‘-메틸렌비스(2-클로로아닐린).4.4‘-디이소시안산 디페닐메탄.2-메톡시에탄올.2-에톡시에탄올.아세트산 에틸.1-메틸-2-피롤리디논.메틸에틸케톤 과산화물.염료 황색 34.1.3.5-트리글리시딜아이소시아누르산염.크롬산납.크롬산스트론티움.몰리브덴적2019-09-30
7판매업(페인트)미래도장방염제주특별자치도 제주시 선반로 74[총 40종] 메틸알코올+N.N-디메틸포름아미드+메틸에틸케톤+아크릴아미드+디부틸 프탈레이트+과산화 벤조일+2-푸란메탈올+4.4‘-메틸렌비스 (2-클로로아닐린)+4.4‘-디이소시안산 디페닐메탄+4.4‘-메틸렌다이아닐린+아크릴로니트릴+m-크레졸+톨루엔+페놀+2-메톡시에탄올+2-에톡시에탄올+비스(2-에틸헥실) 프탈레이트+지람+아세트산 에틸+1-메틸-2-피롤리디논+크실레놀+삼산화안티몬+산화납(Ⅱ)+크레졸+크실렌+무수 크롬산+암모늄수산화물+과산화2-부타논+크로뮴(6+)화합물(염료 황색 34)+트리글리시딜 이소시아누레이트+크롬산납+크롬산스트론티움+중크롬산암모늄+크로뮴(6+)화합물(칼륨아연크롬산수산화물)+크로뮴(6+)화합물(몰리브덴적)+톨루엔 디이소시아네이트+크로뮴(6+)화합물(안료 황색 36)+포름알데히드1.3벤젠디메탄아민과 페놀의 중합체+4.5-디클로로-2-N-옥틸-4-이소티아졸린-3-온+크로뮴(6+)화합물(안료 그린 13)2019-09-30
8판매업(페인트)㈜미래도장건설제주특별자치도 서귀포시 안덕면 한창로 1메탄올+N.N-디메틸포름아미드+메틸에틸케톤+아크릴아미드+디부틸 프탈레이트+과산화벤조일+2-퓨란메탄올+4.4'-메틸렌비스(2-클로로아니린)+4.4‘-디이소시안산 디페닐메탄+4.4‘-메틸렌다이아닐린+아크릴로니트릴+m-크레졸+톨루엔+페놀+2-메톡시에탄올+2-에톡시에탄올+비스(2-에틸헥실)프탈레이트.지람+아세트산에틸+1-메틸-2-피롤리디논+크실레놀2019-09-30
9판매업(페인트)제비표페인트 승라대리점제주특별자치도 제주시 남광로 2길 86메탄올+N.N-디메틸포름아미드.메틸에틸케톤.아크릴아미드.디부틸 프탈레이트.과산화벤조일.2-퓨란메탄올.4.4'-메틸렌비스(2-클로로아니린).4.4‘-디이소시안산 디페닐메탄.4.4‘-메틸렌다이아닐린.아크릴로니트릴.m-크레졸.톨루엔.페놀.2-메톡시에탄올.2-에톡시에탄올.비스(2-에틸헥실)프탈레이트.지람.아세트산에틸.1-메틸-2-피롤리디논.크실레놀2019-09-30
업종업체명주소취급물질명데이터기준일자
31판매업(알선)제주 전자담배 백화점제주특별자치도 제주시 1100로 3308니코틴2019-09-30
32판매업(알선)정품 전자담배 인제점제주특별자치도 제주시 동광로 118니코틴2019-09-30
33판매업(알선)정품 전자담배 법원점제주특별자치도 제주시 중앙로 291니코틴2019-09-30
34판매업(알선)제주전자담배하카제주특별자치도 서귀포시 이중섭로 23-1니코틴2019-09-30
35판매업(취급시설 보유)제주맑음제주특별자치도 제주시 선반로 40니코틴2019-09-30
36판매업(알선)동해환경물산제주특별자치도 제주시 삼무로11길 16수산화나트륨2019-09-30
37사용업제주축협 유가공공장제주특별자치도 제주시 한림읍 한창로 1015수산화나트륨+과산화수소+질소+메틸에틸케톤2019-09-30
38사용업서귀포시(제주도 남부광역환경관리센터)제주특별자치도 서귀포시 중앙로 105수산화나트륨+암모늄 수산화물+하이드라진수화물2019-09-30
39사용업제주시(제주특별자치도 북부광역관리센터)제주특별자치도 제주시 송이길 226염산.수산화 나트륨.황산.암모니아수.하이드라진 수화물2019-09-30
40제조업제주맑음제주특별자치도 제주시 선반로 40니코틴2019-09-30