Overview

Dataset statistics

Number of variables9
Number of observations131
Missing cells6
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory76.0 B

Variable types

Numeric3
Text2
DateTime1
Categorical3

Dataset

Description2024년 3월 현재 경상북도 김천시 특정토양오염 관리대상 시설현황에 대한 데이터로 사업자명, 소재지, 완공일자, 위도, 경도, 관리기관, 데이터 기준일을 표시하였음
Author경상북도 김천시
URLhttps://www.data.go.kr/data/15127006/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터 기준일 has constant value ""Constant
완공일자(영업허가일) has 6 (4.6%) missing valuesMissing
연번 has unique valuesUnique
사업장명 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:16:18.790109
Analysis finished2024-03-16 04:16:21.130575
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66
Minimum1
Maximum131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-16T13:16:21.292657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.5
Q133.5
median66
Q398.5
95-th percentile124.5
Maximum131
Range130
Interquartile range (IQR)65

Descriptive statistics

Standard deviation37.960506
Coefficient of variation (CV)0.57515918
Kurtosis-1.2
Mean66
Median Absolute Deviation (MAD)33
Skewness0
Sum8646
Variance1441
MonotonicityStrictly increasing
2024-03-16T13:16:21.591439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
84 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
Other values (121) 121
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%

사업장명
Text

UNIQUE 

Distinct131
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-16T13:16:21.997258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.610687
Min length4

Characters and Unicode

Total characters997
Distinct characters197
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)100.0%

Sample

1st row김천주유소
2nd row(주)삼양인터내쇼날(김천저유소)
3rd row평화주유소
4th row(주)두산전자사업 김천공장
5th row어모주유소
ValueCountFrequency (%)
김천공장 4
 
2.7%
주)에스피씨삼립 2
 
1.4%
주식회사 2
 
1.4%
주)동서화학 2
 
1.4%
김천주유소 1
 
0.7%
행복한주유소 1
 
0.7%
김천(부산방향)휴게소 1
 
0.7%
덕천주유소 1
 
0.7%
강변주유소 1
 
0.7%
내트럭(주)김천사업소 1
 
0.7%
Other values (131) 131
89.1%
2024-03-16T13:16:22.613058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 116
 
11.6%
유 83
 
8.3%
소 78
 
7.8%
( 49
 
4.9%
) 49
 
4.9%
천 30
 
3.0%
김 26
 
2.6%
16
 
1.6%
공 16
 
1.6%
지 14
 
1.4%
Other values (187) 520
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
87.0%
Open Punctuation 49
 
4.9%
Close Punctuation 49
 
4.9%
Space Separator 16
 
1.6%
Decimal Number 6
 
0.6%
Uppercase Letter 4
 
0.4%
Lowercase Letter 4
 
0.4%
Other Symbol 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 116
 
13.4%
유 83
 
9.6%
소 78
 
9.0%
천 30
 
3.5%
김 26
 
3.0%
공 16
 
1.8%
지 14
 
1.6%
스 13
 
1.5%
코 13
 
1.5%
장 13
 
1.5%
Other values (174) 465
53.6%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
f 1
25.0%
l 1
25.0%
e 1
25.0%
Decimal Number
ValueCountFrequency (%)
2 4
66.7%
1 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
C 2
50.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 868
87.1%
Common 121
 
12.1%
Latin 8
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 116
 
13.4%
유 83
 
9.6%
소 78
 
9.0%
천 30
 
3.5%
김 26
 
3.0%
공 16
 
1.8%
지 14
 
1.6%
스 13
 
1.5%
코 13
 
1.5%
장 13
 
1.5%
Other values (175) 466
53.7%
Common
ValueCountFrequency (%)
( 49
40.5%
) 49
40.5%
16
 
13.2%
2 4
 
3.3%
1 2
 
1.7%
. 1
 
0.8%
Latin
ValueCountFrequency (%)
I 2
25.0%
C 2
25.0%
s 1
12.5%
f 1
12.5%
l 1
12.5%
e 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 867
87.0%
ASCII 129
 
12.9%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 116
 
13.4%
유 83
 
9.6%
소 78
 
9.0%
천 30
 
3.5%
김 26
 
3.0%
공 16
 
1.8%
지 14
 
1.6%
스 13
 
1.5%
코 13
 
1.5%
장 13
 
1.5%
Other values (174) 465
53.6%
ASCII
ValueCountFrequency (%)
( 49
38.0%
) 49
38.0%
16
 
12.4%
2 4
 
3.1%
1 2
 
1.6%
I 2
 
1.6%
C 2
 
1.6%
s 1
 
0.8%
f 1
 
0.8%
l 1
 
0.8%
Other values (2) 2
 
1.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지
Text

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-16T13:16:23.250434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length23.343511
Min length18

Characters and Unicode

Total characters3058
Distinct characters142
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)92.4%

Sample

1st row경상북도 김천시 황산로 48 (지좌동)
2nd row경상북도 김천시 평화장미길 163 (평화동)
3rd row경상북도 김천시 자산로 110 (성내동)
4th row경상북도 김천시 공단1길 83-16 (대광동, 두산전자사업(주))
5th row경상북도 김천시 어모면 어모로 496
ValueCountFrequency (%)
경상북도 131
19.4%
김천시 131
19.4%
영남대로 22
 
3.2%
어모면 13
 
1.9%
아포읍 11
 
1.6%
봉산면 11
 
1.6%
응명동 10
 
1.5%
부곡동 8
 
1.2%
아포대로 8
 
1.2%
남김천대로 7
 
1.0%
Other values (215) 325
48.0%
2024-03-16T13:16:24.162160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
546
17.9%
천 151
 
4.9%
김 144
 
4.7%
시 138
 
4.5%
경 137
 
4.5%
도 136
 
4.4%
상 134
 
4.4%
북 131
 
4.3%
로 103
 
3.4%
1 90
 
2.9%
Other values (132) 1348
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1888
61.7%
Space Separator 546
 
17.9%
Decimal Number 430
 
14.1%
Close Punctuation 80
 
2.6%
Open Punctuation 80
 
2.6%
Dash Punctuation 20
 
0.7%
Other Punctuation 8
 
0.3%
Uppercase Letter 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 151
 
8.0%
김 144
 
7.6%
시 138
 
7.3%
경 137
 
7.3%
도 136
 
7.2%
상 134
 
7.1%
북 131
 
6.9%
로 103
 
5.5%
동 67
 
3.5%
면 57
 
3.0%
Other values (111) 690
36.5%
Decimal Number
ValueCountFrequency (%)
1 90
20.9%
2 61
14.2%
4 45
10.5%
3 45
10.5%
5 44
10.2%
6 33
 
7.7%
9 32
 
7.4%
7 27
 
6.3%
0 27
 
6.3%
8 26
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
D 1
33.3%
C 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
h 1
33.3%
e 1
33.3%
m 1
33.3%
Space Separator
ValueCountFrequency (%)
546
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1888
61.7%
Common 1164
38.1%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 151
 
8.0%
김 144
 
7.6%
시 138
 
7.3%
경 137
 
7.3%
도 136
 
7.2%
상 134
 
7.1%
북 131
 
6.9%
로 103
 
5.5%
동 67
 
3.5%
면 57
 
3.0%
Other values (111) 690
36.5%
Common
ValueCountFrequency (%)
546
46.9%
1 90
 
7.7%
) 80
 
6.9%
( 80
 
6.9%
2 61
 
5.2%
4 45
 
3.9%
3 45
 
3.9%
5 44
 
3.8%
6 33
 
2.8%
9 32
 
2.7%
Other values (5) 108
 
9.3%
Latin
ValueCountFrequency (%)
K 1
16.7%
D 1
16.7%
C 1
16.7%
h 1
16.7%
e 1
16.7%
m 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1888
61.7%
ASCII 1170
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
546
46.7%
1 90
 
7.7%
) 80
 
6.8%
( 80
 
6.8%
2 61
 
5.2%
4 45
 
3.8%
3 45
 
3.8%
5 44
 
3.8%
6 33
 
2.8%
9 32
 
2.7%
Other values (11) 114
 
9.7%
Hangul
ValueCountFrequency (%)
천 151
 
8.0%
김 144
 
7.6%
시 138
 
7.3%
경 137
 
7.3%
도 136
 
7.2%
상 134
 
7.1%
북 131
 
6.9%
로 103
 
5.5%
동 67
 
3.5%
면 57
 
3.0%
Other values (111) 690
36.5%

완공일자(영업허가일)
Date

MISSING 

Distinct122
Distinct (%)97.6%
Missing6
Missing (%)4.6%
Memory size1.2 KiB
Minimum1984-10-25 00:00:00
Maximum2021-03-05 00:00:00
2024-03-16T13:16:24.413379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:24.662396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위도
Real number (ℝ)

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.127392
Minimum35.874515
Maximum36.21676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-16T13:16:24.984766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.874515
5-th percentile36.00517
Q136.121749
median36.133406
Q336.157557
95-th percentile36.20001
Maximum36.21676
Range0.34224502
Interquartile range (IQR)0.03580759

Descriptive statistics

Standard deviation0.058004192
Coefficient of variation (CV)0.0016055461
Kurtosis5.4650432
Mean36.127392
Median Absolute Deviation (MAD)0.02045496
Skewness-2.0022953
Sum4732.6883
Variance0.0033644862
MonotonicityNot monotonic
2024-03-16T13:16:25.192689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.05840741 2
 
1.5%
36.12608487 2
 
1.5%
36.14921604 2
 
1.5%
36.15207007 2
 
1.5%
36.13027208 2
 
1.5%
36.13340612 1
 
0.8%
36.0819525 1
 
0.8%
36.12899069 1
 
0.8%
36.11287655 1
 
0.8%
36.12904418 1
 
0.8%
Other values (116) 116
88.5%
ValueCountFrequency (%)
35.87451458 1
0.8%
35.89900868 1
0.8%
35.91970905 1
0.8%
35.95169112 1
0.8%
35.97554617 1
0.8%
35.97702429 1
0.8%
35.98009777 1
0.8%
36.03024193 1
0.8%
36.04025454 1
0.8%
36.04184172 1
0.8%
ValueCountFrequency (%)
36.2167596 1
0.8%
36.2146576 1
0.8%
36.21449687 1
0.8%
36.21261109 1
0.8%
36.20505729 1
0.8%
36.20311943 1
0.8%
36.20099258 1
0.8%
36.19902783 1
0.8%
36.19608333 1
0.8%
36.194803 1
0.8%

경도
Real number (ℝ)

Distinct126
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.12507
Minimum127.94126
Maximum128.29497
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-16T13:16:25.471943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.94126
5-th percentile128.00593
Q1128.09658
median128.12475
Q3128.15779
95-th percentile128.25132
Maximum128.29497
Range0.3537151
Interquartile range (IQR)0.06121595

Descriptive statistics

Standard deviation0.068793119
Coefficient of variation (CV)0.00053692159
Kurtosis0.2644313
Mean128.12507
Median Absolute Deviation (MAD)0.0328703
Skewness0.11238896
Sum16784.385
Variance0.0047324932
MonotonicityNot monotonic
2024-03-16T13:16:25.833065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.2888251 2
 
1.5%
128.0666251 2
 
1.5%
128.1276329 2
 
1.5%
128.1304493 2
 
1.5%
128.1176804 2
 
1.5%
128.0412545 1
 
0.8%
128.1184847 1
 
0.8%
128.0997579 1
 
0.8%
128.1636627 1
 
0.8%
128.1648742 1
 
0.8%
Other values (116) 116
88.5%
ValueCountFrequency (%)
127.9412568 1
0.8%
127.9714193 1
0.8%
128.0010691 1
0.8%
128.0029674 1
0.8%
128.003182 1
0.8%
128.003877 1
0.8%
128.0051729 1
0.8%
128.0066851 1
0.8%
128.0125194 1
0.8%
128.0169069 1
0.8%
ValueCountFrequency (%)
128.2949719 1
0.8%
128.2888251 2
1.5%
128.2694099 1
0.8%
128.268681 1
0.8%
128.2562183 1
0.8%
128.2517762 1
0.8%
128.2508612 1
0.8%
128.2483412 1
0.8%
128.2428444 1
0.8%
128.2363093 1
0.8%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
경상북도 김천시 환경위생과
131 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경상북도 김천시 환경위생과
2nd row경상북도 김천시 환경위생과
3rd row경상북도 김천시 환경위생과
4th row경상북도 김천시 환경위생과
5th row경상북도 김천시 환경위생과

Common Values

ValueCountFrequency (%)
경상북도 김천시 환경위생과 131
100.0%

Length

2024-03-16T13:16:26.052359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:16:26.253098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도 131
33.3%
김천시 131
33.3%
환경위생과 131
33.3%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
054-420-6435
131 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row054-420-6435
2nd row054-420-6435
3rd row054-420-6435
4th row054-420-6435
5th row054-420-6435

Common Values

ValueCountFrequency (%)
054-420-6435 131
100.0%

Length

2024-03-16T13:16:26.565635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:16:26.758940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
054-420-6435 131
100.0%

데이터 기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-13
131 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-13
2nd row2024-03-13
3rd row2024-03-13
4th row2024-03-13
5th row2024-03-13

Common Values

ValueCountFrequency (%)
2024-03-13 131
100.0%

Length

2024-03-16T13:16:26.969404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:16:27.114273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-13 131
100.0%

Interactions

2024-03-16T13:16:20.296992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:19.261313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:19.841377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:20.456895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:19.464943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:19.973870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:20.586062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:19.666190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:16:20.132522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:16:27.192582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3220.243
위도0.3221.0000.838
경도0.2430.8381.000
2024-03-16T13:16:27.304940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.1610.050
위도0.1611.0000.186
경도0.0500.1861.000

Missing values

2024-03-16T13:16:20.783469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:16:21.015299image/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

연번사업장명소재지완공일자(영업허가일)위도경도관리기관관리기관 전화번호데이터 기준일
01김천주유소경상북도 김천시 황산로 48 (지좌동)1984-10-2536.116436128.135855경상북도 김천시 환경위생과054-420-64352024-03-13
12(주)삼양인터내쇼날(김천저유소)경상북도 김천시 평화장미길 163 (평화동)1985-12-1836.129128.109724경상북도 김천시 환경위생과054-420-64352024-03-13
23평화주유소경상북도 김천시 자산로 110 (성내동)1987-08-1336.121031128.12021경상북도 김천시 환경위생과054-420-64352024-03-13
34(주)두산전자사업 김천공장경상북도 김천시 공단1길 83-16 (대광동, 두산전자사업(주))1989-12-0536.145074128.139927경상북도 김천시 환경위생과054-420-64352024-03-13
45어모주유소경상북도 김천시 어모면 어모로 4961991-01-2536.196083128.109507경상북도 김천시 환경위생과054-420-64352024-03-13
56코오롱화이버(주)경상북도 김천시 공단로 213 (응명동)1991-02-1336.145321128.129149경상북도 김천시 환경위생과054-420-64352024-03-13
67봉산주유소경상북도 김천시 봉산면 봉산로 3251991-03-2836.180253128.012519경상북도 김천시 환경위생과054-420-64352024-03-13
78삼덕주유소경상북도 김천시 대덕면 남김천대로 12641991-06-1435.951691128.003877경상북도 김천시 환경위생과054-420-64352024-03-13
89증산주유소경상북도 김천시 증산면 증산로 10391991-09-1035.899009128.044684경상북도 김천시 환경위생과054-420-64352024-03-13
910남산주유소경상북도 김천시 어모면 어모로 21 (남산주유소)1991-11-3036.159358128.11688경상북도 김천시 환경위생과054-420-64352024-03-13
연번사업장명소재지완공일자(영업허가일)위도경도관리기관관리기관 전화번호데이터 기준일
121122(주)동서화학 2공장경상북도 김천시 어모면 산업단지4로 742019-03-1336.16172128.132666경상북도 김천시 환경위생과054-420-64352024-03-13
122123김천행복주유소경상북도 김천시 영남대로 1650 (평화동)2019-07-2336.128707128.114323경상북도 김천시 환경위생과054-420-64352024-03-13
123124(주)지엠텍경상북도 김천시 어모면 산업단지4로 89-25 (주)지엠머티리얼즈2020-04-0936.16222128.129344경상북도 김천시 환경위생과054-420-64352024-03-13
124125아주스틸(주)경상북도 김천시 어모면 산업단지9로 472021-03-0536.194803128.10946경상북도 김천시 환경위생과054-420-64352024-03-13
125126한국오웬스코닝(주)경상북도 김천시 공단3길 156 (응명동, 엘지오웬스코닝(주))<NA>36.153289128.119427경상북도 김천시 환경위생과054-420-64352024-03-13
126127코오롱인더스트리(주)김천공장경상북도 김천시 공단로 238 (응명동, (주)코오롱)<NA>36.149216128.127633경상북도 김천시 환경위생과054-420-64352024-03-13
127128나들목주유소경상북도 김천시 영남대로 1475 (부곡동)<NA>36.12848128.096491경상북도 김천시 환경위생과054-420-64352024-03-13
128129코오롱플라스틱(주)경상북도 김천시 공단3길 64 (응명동)<NA>36.15207128.130449경상북도 김천시 환경위생과054-420-64352024-03-13
129130(주)남전관광산업경상북도 김천시 송설로 146 (부곡동)<NA>36.123321128.100239경상북도 김천시 환경위생과054-420-64352024-03-13
130131코오롱생명과학(주)김천제1공장경상북도 김천시 공단로 238 (응명동, (주)코오롱)<NA>36.149216128.127633경상북도 김천시 환경위생과054-420-64352024-03-13