Overview

Dataset statistics

Number of variables9
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory77.1 B

Variable types

Text3
Numeric2
Categorical3
DateTime1

Dataset

Description기타수질오염원(업체명, 소재지도로명주소, 소재지지번주소, 위도, 경도, 특정시설구분, 관리기관명, 관리기관전화번호 등) 정보 공개
URLhttps://www.data.go.kr/data/3080803/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
경도 is highly overall correlated with 특정시설구분High correlation
특정시설구분 is highly overall correlated with 경도High correlation
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:19:22.789902
Analysis finished2023-12-12 18:19:23.696280
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct42
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T03:19:23.855141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.8571429
Min length4

Characters and Unicode

Total characters330
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)100.0%

Sample

1st row동서공업사
2nd row우일칼라 중앙점
3rd row현대큐에스포토
4th row제이레저 (주)
5th row현대오토랜드 1급공업사
ValueCountFrequency (%)
우일칼라 2
 
3.6%
지행점 2
 
3.6%
동두천점 2
 
3.6%
동서공업사 1
 
1.8%
터미널 1
 
1.8%
안경 1
 
1.8%
안경아울렛 1
 
1.8%
으뜸 1
 
1.8%
플러스 1
 
1.8%
동두천 1
 
1.8%
Other values (43) 43
76.8%
2023-12-13T03:19:24.261184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18
 
5.5%
14
 
4.2%
14
 
4.2%
14
 
4.2%
14
 
4.2%
13
 
3.9%
13
 
3.9%
13
 
3.9%
12
 
3.6%
10
 
3.0%
Other values (101) 195
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
90.9%
Space Separator 14
 
4.2%
Open Punctuation 5
 
1.5%
Close Punctuation 5
 
1.5%
Decimal Number 4
 
1.2%
Lowercase Letter 1
 
0.3%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
18
 
6.0%
14
 
4.7%
14
 
4.7%
14
 
4.7%
13
 
4.3%
13
 
4.3%
13
 
4.3%
12
 
4.0%
10
 
3.3%
8
 
2.7%
Other values (95) 171
57.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Decimal Number
ValueCountFrequency (%)
1 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
90.9%
Common 29
 
8.8%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
18
 
6.0%
14
 
4.7%
14
 
4.7%
14
 
4.7%
13
 
4.3%
13
 
4.3%
13
 
4.3%
12
 
4.0%
10
 
3.3%
8
 
2.7%
Other values (95) 171
57.0%
Common
ValueCountFrequency (%)
14
48.3%
( 5
 
17.2%
) 5
 
17.2%
1 4
 
13.8%
- 1
 
3.4%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
90.9%
ASCII 30
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
18
 
6.0%
14
 
4.7%
14
 
4.7%
14
 
4.7%
13
 
4.3%
13
 
4.3%
13
 
4.3%
12
 
4.0%
10
 
3.3%
8
 
2.7%
Other values (95) 171
57.0%
ASCII
ValueCountFrequency (%)
14
46.7%
( 5
 
16.7%
) 5
 
16.7%
1 4
 
13.3%
e 1
 
3.3%
- 1
 
3.3%
Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T03:19:24.502629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25.5
Mean length21.47619
Min length15

Characters and Unicode

Total characters902
Distinct characters59
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

Unique40 ?
Unique (%)95.2%

Sample

1st row경기도 동두천시 큰시장로 5 (생연동)
2nd row경기도 동두천시 중앙로 260 (생연동)
3rd row경기도 동두천시 중앙로 230-1 (생연동)
4th row경기도 동두천시 평화로 3202 (동두천동)
5th row경기도 동두천시 상패로 5 (상패동)
ValueCountFrequency (%)
경기도 42
20.9%
동두천시 42
20.9%
생연동 17
 
8.5%
중앙로 13
 
6.5%
상패동 8
 
4.0%
평화로 4
 
2.0%
삼육사로 3
 
1.5%
지행로 3
 
1.5%
동두천동 2
 
1.0%
송내동 2
 
1.0%
Other values (60) 65
32.3%
2023-12-13T03:19:24.903594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
17.7%
81
 
9.0%
46
 
5.1%
46
 
5.1%
43
 
4.8%
42
 
4.7%
42
 
4.7%
42
 
4.7%
41
 
4.5%
( 32
 
3.5%
Other values (49) 327
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 538
59.6%
Space Separator 160
 
17.7%
Decimal Number 135
 
15.0%
Open Punctuation 32
 
3.5%
Close Punctuation 32
 
3.5%
Dash Punctuation 4
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
81
15.1%
46
 
8.6%
46
 
8.6%
43
 
8.0%
42
 
7.8%
42
 
7.8%
42
 
7.8%
41
 
7.6%
18
 
3.3%
18
 
3.3%
Other values (34) 119
22.1%
Decimal Number
ValueCountFrequency (%)
1 31
23.0%
2 27
20.0%
3 15
11.1%
5 14
10.4%
0 11
 
8.1%
6 11
 
8.1%
7 8
 
5.9%
9 7
 
5.2%
8 6
 
4.4%
4 5
 
3.7%
Space Separator
ValueCountFrequency (%)
160
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 538
59.6%
Common 364
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
81
15.1%
46
 
8.6%
46
 
8.6%
43
 
8.0%
42
 
7.8%
42
 
7.8%
42
 
7.8%
41
 
7.6%
18
 
3.3%
18
 
3.3%
Other values (34) 119
22.1%
Common
ValueCountFrequency (%)
160
44.0%
( 32
 
8.8%
) 32
 
8.8%
1 31
 
8.5%
2 27
 
7.4%
3 15
 
4.1%
5 14
 
3.8%
0 11
 
3.0%
6 11
 
3.0%
7 8
 
2.2%
Other values (5) 23
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 538
59.6%
ASCII 364
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
44.0%
( 32
 
8.8%
) 32
 
8.8%
1 31
 
8.5%
2 27
 
7.4%
3 15
 
4.1%
5 14
 
3.8%
0 11
 
3.0%
6 11
 
3.0%
7 8
 
2.2%
Other values (5) 23
 
6.3%
Hangul
ValueCountFrequency (%)
81
15.1%
46
 
8.6%
46
 
8.6%
43
 
8.0%
42
 
7.8%
42
 
7.8%
42
 
7.8%
41
 
7.6%
18
 
3.3%
18
 
3.3%
Other values (34) 119
22.1%
Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size468.0 B
2023-12-13T03:19:25.160106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25.5
Mean length20.571429
Min length17

Characters and Unicode

Total characters864
Distinct characters63
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)95.2%

Sample

1st row경기도 동두천시 생연동 724
2nd row경기도 동두천시 생연동 653-2
3rd row경기도 동두천시 생연동 688-10
4th row경기도 동두천시 하봉암동 산 33-1
5th row경기도 동두천시 상패동 117,114-1
ValueCountFrequency (%)
경기도 42
23.3%
동두천시 42
23.3%
생연동 18
 
10.0%
상패동 9
 
5.0%
지행동 8
 
4.4%
653-2 2
 
1.1%
송내동 2
 
1.1%
동현빌딩2층 1
 
0.6%
695-3 1
 
0.6%
현대프라자 1
 
0.6%
Other values (54) 54
30.0%
2023-12-13T03:19:26.066951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
20.8%
87
 
10.1%
43
 
5.0%
43
 
5.0%
42
 
4.9%
42
 
4.9%
42
 
4.9%
42
 
4.9%
1 34
 
3.9%
- 34
 
3.9%
Other values (53) 275
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 468
54.2%
Space Separator 180
 
20.8%
Decimal Number 177
 
20.5%
Dash Punctuation 34
 
3.9%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
87
18.6%
43
9.2%
43
9.2%
42
9.0%
42
9.0%
42
9.0%
42
9.0%
18
 
3.8%
18
 
3.8%
10
 
2.1%
Other values (37) 81
17.3%
Decimal Number
ValueCountFrequency (%)
1 34
19.2%
6 23
13.0%
3 20
11.3%
2 20
11.3%
5 18
10.2%
4 17
9.6%
8 15
8.5%
7 14
7.9%
0 9
 
5.1%
9 7
 
4.0%
Space Separator
ValueCountFrequency (%)
180
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
54.2%
Common 396
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
87
18.6%
43
9.2%
43
9.2%
42
9.0%
42
9.0%
42
9.0%
42
9.0%
18
 
3.8%
18
 
3.8%
10
 
2.1%
Other values (37) 81
17.3%
Common
ValueCountFrequency (%)
180
45.5%
1 34
 
8.6%
- 34
 
8.6%
6 23
 
5.8%
3 20
 
5.1%
2 20
 
5.1%
5 18
 
4.5%
4 17
 
4.3%
8 15
 
3.8%
7 14
 
3.5%
Other values (6) 21
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 468
54.2%
ASCII 395
45.7%
CJK Compat 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
180
45.6%
1 34
 
8.6%
- 34
 
8.6%
6 23
 
5.8%
3 20
 
5.1%
2 20
 
5.1%
5 18
 
4.6%
4 17
 
4.3%
8 15
 
3.8%
7 14
 
3.5%
Other values (5) 20
 
5.1%
Hangul
ValueCountFrequency (%)
87
18.6%
43
9.2%
43
9.2%
42
9.0%
42
9.0%
42
9.0%
42
9.0%
18
 
3.8%
18
 
3.8%
10
 
2.1%
Other values (37) 81
17.3%
CJK Compat
ValueCountFrequency (%)
1
100.0%

위도
Real number (ℝ)

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.90402
Minimum37.877289
Maximum37.967797
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T03:19:26.262601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.877289
5-th percentile37.891389
Q137.895987
median37.903671
Q337.906955
95-th percentile37.934788
Maximum37.967797
Range0.090507344
Interquartile range (IQR)0.010968522

Descriptive statistics

Standard deviation0.015112577
Coefficient of variation (CV)0.00039870644
Kurtosis7.9780803
Mean37.90402
Median Absolute Deviation (MAD)0.0048797886
Skewness2.266775
Sum1591.9688
Variance0.00022838997
MonotonicityNot monotonic
2023-12-13T03:19:26.478050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
37.9046708022 2
 
4.8%
37.9004703588 1
 
2.4%
37.905038859 1
 
2.4%
37.8914710563 1
 
2.4%
37.8913889538 1
 
2.4%
37.89267661 1
 
2.4%
37.8913981773 1
 
2.4%
37.9360086694 1
 
2.4%
37.9020206248 1
 
2.4%
37.8772892267 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
37.8772892267 1
2.4%
37.8819411971 1
2.4%
37.8913889538 1
2.4%
37.8913981773 1
2.4%
37.8914710563 1
2.4%
37.8920674099 1
2.4%
37.89267661 1
2.4%
37.8926770752 1
2.4%
37.8926995361 1
2.4%
37.8927570356 1
2.4%
ValueCountFrequency (%)
37.9677965712 1
2.4%
37.9424973866 1
2.4%
37.9360086694 1
2.4%
37.9116035185 1
2.4%
37.9096420124 1
2.4%
37.9091576999 1
2.4%
37.9088785856 1
2.4%
37.9087407539 1
2.4%
37.9083617349 1
2.4%
37.9077944887 1
2.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0549
Minimum127.01196
Maximum127.1361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size510.0 B
2023-12-13T03:19:26.675533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01196
5-th percentile127.04028
Q1127.05124
median127.05408
Q3127.05674
95-th percentile127.083
Maximum127.1361
Range0.12414351
Interquartile range (IQR)0.0055032006

Descriptive statistics

Standard deviation0.017486577
Coefficient of variation (CV)0.00013763009
Kurtosis11.701027
Mean127.0549
Median Absolute Deviation (MAD)0.0029195884
Skewness2.3797606
Sum5336.3057
Variance0.00030578037
MonotonicityNot monotonic
2023-12-13T03:19:26.863367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
127.0540829349 2
 
4.8%
127.0572590159 1
 
2.4%
127.0534448552 1
 
2.4%
127.0524906578 1
 
2.4%
127.0533507452 1
 
2.4%
127.0544782051 1
 
2.4%
127.0546518842 1
 
2.4%
127.0620093119 1
 
2.4%
127.0541915138 1
 
2.4%
127.0562419606 1
 
2.4%
Other values (31) 31
73.8%
ValueCountFrequency (%)
127.0119560801 1
2.4%
127.0331667093 1
2.4%
127.040273348 1
2.4%
127.0404154206 1
2.4%
127.0406721786 1
2.4%
127.0412355716 1
2.4%
127.0416675537 1
2.4%
127.0432135024 1
2.4%
127.0446885539 1
2.4%
127.0508852951 1
2.4%
ValueCountFrequency (%)
127.1360995908 1
2.4%
127.0892438014 1
2.4%
127.0838387568 1
2.4%
127.0670085621 1
2.4%
127.0636419641 1
2.4%
127.0620093119 1
2.4%
127.0579918295 1
2.4%
127.0577775495 1
2.4%
127.0574456587 1
2.4%
127.0572590159 1
2.4%

특정시설구분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size468.0 B
안경원
16 
운수장비정비
14 
사진처리시설
폐차장시설
골프장시설
 
1

Length

Max length6
Median length6
Mean length4.7619048
Min length3

Unique

Unique1 ?
Unique (%)2.4%

Sample

1st row운수장비정비
2nd row사진처리시설
3rd row사진처리시설
4th row골프장시설
5th row운수장비정비

Common Values

ValueCountFrequency (%)
안경원 16
38.1%
운수장비정비 14
33.3%
사진처리시설 8
19.0%
폐차장시설 3
 
7.1%
골프장시설 1
 
2.4%

Length

2023-12-13T03:19:27.064543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:19:27.201401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안경원 16
38.1%
운수장비정비 14
33.3%
사진처리시설 8
19.0%
폐차장시설 3
 
7.1%
골프장시설 1
 
2.4%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
경기도 동두천시청 환경보호과
42 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 환경보호과
2nd row경기도 동두천시청 환경보호과
3rd row경기도 동두천시청 환경보호과
4th row경기도 동두천시청 환경보호과
5th row경기도 동두천시청 환경보호과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 환경보호과 42
100.0%

Length

2023-12-13T03:19:27.327092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:19:27.452097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 42
33.3%
동두천시청 42
33.3%
환경보호과 42
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
031-860-2260
42 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2260
2nd row031-860-2260
3rd row031-860-2260
4th row031-860-2260
5th row031-860-2260

Common Values

ValueCountFrequency (%)
031-860-2260 42
100.0%

Length

2023-12-13T03:19:27.584859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:19:27.685486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2260 42
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size468.0 B
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-13T03:19:27.777270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:19:27.896596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T03:19:23.314482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:19:23.134146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:19:23.402344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:19:23.217422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:19:27.998876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지도로명주소소재지지번주소위도경도특정시설구분
업소명1.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0000.918
소재지지번주소1.0001.0001.0001.0001.0000.918
위도1.0001.0001.0001.0000.6270.666
경도1.0001.0001.0000.6271.0000.804
특정시설구분1.0000.9180.9180.6660.8041.000
2023-12-13T03:19:28.115509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도특정시설구분
위도1.0000.1320.493
경도0.1321.0000.635
특정시설구분0.4930.6351.000

Missing values

2023-12-13T03:19:23.517344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:19:23.645996image/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

업소명소재지도로명주소소재지지번주소위도경도특정시설구분관리기관명관리기관전화번호데이터기준일자
0동서공업사경기도 동두천시 큰시장로 5 (생연동)경기도 동두천시 생연동 72437.90047127.057259운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30
1우일칼라 중앙점경기도 동두천시 중앙로 260 (생연동)경기도 동두천시 생연동 653-237.904671127.054083사진처리시설경기도 동두천시청 환경보호과031-860-22602023-06-30
2현대큐에스포토경기도 동두천시 중앙로 230-1 (생연동)경기도 동두천시 생연동 688-1037.902025127.0533사진처리시설경기도 동두천시청 환경보호과031-860-22602023-06-30
3제이레저 (주)경기도 동두천시 평화로 3202 (동두천동)경기도 동두천시 하봉암동 산 33-137.967797127.089244골프장시설경기도 동두천시청 환경보호과031-860-22602023-06-30
4현대오토랜드 1급공업사경기도 동두천시 상패로 5 (상패동)경기도 동두천시 상패동 117,114-137.906613127.041668운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30
5우일칼라 지행점경기도 동두천시 지행로 63경기도 동두천시 지행동 695-237.892677127.054251사진처리시설경기도 동두천시청 환경보호과031-860-22602023-06-30
6(의)다미아노의료재단경기도 동두천시 강변로 422경기도 동두천시 생연동 826-11 성모병원37.906833127.051073사진처리시설경기도 동두천시청 환경보호과031-860-22602023-06-30
7대중자동차공업사경기도 동두천시 평화로2441번길 19 (생연동)경기도 동두천시 생연동 62837.905172127.056913운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30
8동두천폐차장경기도 동두천시 삼육사로 536-27 (상패동)경기도 동두천시 상패동 1005-237.908879127.011956폐차장시설경기도 동두천시청 환경보호과031-860-22602023-06-30
9중앙자동차공업사경기도 동두천시 상패로 3 (상패동)경기도 동두천시 상패동 11437.906611127.041236운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30
업소명소재지도로명주소소재지지번주소위도경도특정시설구분관리기관명관리기관전화번호데이터기준일자
32터미널 안경박사경기도 동두천시 중앙로 263 (생연동)경기도 동두천시 생연동 657-137.905039127.053445안경원경기도 동두천시청 환경보호과031-860-22602023-06-30
33아이데코 생연점경기도 동두천시 생연로 117 (생연동)경기도 동두천시 생연동 820-437.903023127.050885안경원경기도 동두천시청 환경보호과031-860-22602023-06-30
34현대자동차공업(주)경기도 동두천시 못골로 153 (생연동)경기도 동두천시 생연동 203-337.909158127.067009운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30
35리스안경원경기도 동두천시 중앙로 296, 1층 (생연동)경기도 동두천시 생연동 612-2337.907794127.05481안경원경기도 동두천시청 환경보호과031-860-22602023-06-30
36광명안경원경기도 동두천시 중앙로 235 (생연동)경기도 동두천시 생연동 688-5337.902692127.053085안경원경기도 동두천시청 환경보호과031-860-22602023-06-30
371급 무궁화자동차공업사경기도 동두천시 삼육사로 819경기도 동두천시 상패동 84-337.904601127.043214운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30
38서본안경원경기도 동두천시 중앙로 269 (생연동)경기도 동두천시 생연동 593-737.905528127.053791안경원경기도 동두천시청 환경보호과031-860-22602023-06-30
39(재)서울병원경기도 동두천시 중앙로 315 (생연동)경기도 동두천시 생연동 575-1337.909642127.054897사진처리시설경기도 동두천시청 환경보호과031-860-22602023-06-30
40대동폐차장경기도 동두천시 갈마지길 223-12 (상패동)경기도 동두천시 상패동 330-137.896482127.040415폐차장시설경기도 동두천시청 환경보호과031-860-22602023-06-30
41제1급자동차공업사경기도 동두천시 벌마들로 130 (상패동)경기도 동두천시 상패동 35137.898101127.033167운수장비정비경기도 동두천시청 환경보호과031-860-22602023-06-30