Overview

Dataset statistics

Number of variables18
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 MiB
Average record size in memory156.0 B

Variable types

Categorical14
Boolean1
DateTime2
Numeric1

Dataset

Description인천광역시 산업단지 배출수 감시용 측정자료에 대한 정보 현황(측정소명, 측정값, 측정일자, 기준치초과여부, 위도, 경도 등)에 대한1시간단위(2021.1.1.~2021.9.16.)데이터 입니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15091565/fileData.do

Alerts

권역 has constant value ""Constant
군구명 has constant value ""Constant
측정구분 has constant value ""Constant
지도 표시 여부 has constant value ""Constant
설치일자 has constant value ""Constant
측정망종류 has constant value ""Constant
데이터로거상태 has constant value ""Constant
측정항목 한글명 is highly overall correlated with 측정항목 영문명High correlation
측정항목 영문명 is highly overall correlated with 측정항목 한글명High correlation
경도 is highly overall correlated with 측정소명 and 3 other fieldsHigh correlation
위도 is highly overall correlated with 측정소명 and 3 other fieldsHigh correlation
주소 is highly overall correlated with 측정소명 and 3 other fieldsHigh correlation
측정소 정렬 순서 is highly overall correlated with 측정소명 and 3 other fieldsHigh correlation
측정소명 is highly overall correlated with 주소 and 3 other fieldsHigh correlation
기준치초과여부 is highly imbalanced (62.2%)Imbalance
측정기상태 is highly imbalanced (93.5%)Imbalance

Reproduction

Analysis started2023-12-12 08:41:02.590535
Analysis finished2023-12-12 08:41:05.033830
Duration2.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

측정소명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
가좌천1
5001 
가좌천2
4999 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가좌천1
2nd row가좌천2
3rd row가좌천2
4th row가좌천1
5th row가좌천1

Common Values

ValueCountFrequency (%)
가좌천1 5001
50.0%
가좌천2 4999
50.0%

Length

2023-12-12T17:41:05.113932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:05.245193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가좌천1 5001
50.0%
가좌천2 4999
50.0%

권역
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동남부
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동남부 10000
100.0%

Length

2023-12-12T17:41:05.380936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:05.534495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동남부 10000
100.0%

군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
미추홀구
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미추홀구 10000
100.0%

Length

2023-12-12T17:41:05.647390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:05.745194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미추홀구 10000
100.0%

측정구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고정
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고정 10000
100.0%

Length

2023-12-12T17:41:05.844859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:05.947114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고정 10000
100.0%

주소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
현대제철 앞
5001 
동화기업 제3공장 정문 경비실 앞
4999 

Length

Max length18
Median length6
Mean length11.9988
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row현대제철 앞
2nd row동화기업 제3공장 정문 경비실 앞
3rd row동화기업 제3공장 정문 경비실 앞
4th row현대제철 앞
5th row현대제철 앞

Common Values

ValueCountFrequency (%)
현대제철 앞 5001
50.0%
동화기업 제3공장 정문 경비실 앞 4999
50.0%

Length

2023-12-12T17:41:06.066428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:06.203591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000
28.6%
현대제철 5001
14.3%
동화기업 4999
14.3%
제3공장 4999
14.3%
정문 4999
14.3%
경비실 4999
14.3%

경도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
126.648048
5001 
126.66081
4999 

Length

Max length10
Median length10
Mean length9.5001
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.648048
2nd row126.66081
3rd row126.66081
4th row126.648048
5th row126.648048

Common Values

ValueCountFrequency (%)
126.648048 5001
50.0%
126.66081 4999
50.0%

Length

2023-12-12T17:41:06.688225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:06.817503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.648048 5001
50.0%
126.66081 4999
50.0%

위도
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
37.492183
5001 
37.49533
4999 

Length

Max length9
Median length9
Mean length8.5001
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row37.492183
2nd row37.49533
3rd row37.49533
4th row37.492183
5th row37.492183

Common Values

ValueCountFrequency (%)
37.492183 5001
50.0%
37.49533 4999
50.0%

Length

2023-12-12T17:41:06.976672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:07.109467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
37.492183 5001
50.0%
37.49533 4999
50.0%

지도 표시 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T17:41:07.231266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

측정소 정렬 순서
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
5001 
2
4999 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 5001
50.0%
2 4999
50.0%

Length

2023-12-12T17:41:07.372420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:07.497222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 5001
50.0%
2 4999
50.0%

설치일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2000-01-01 00:00:00
Maximum2000-01-01 00:00:00
2023-12-12T17:41:07.606668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:41:07.702557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

측정망종류
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
도시대기
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
도시대기 10000
100.0%

Length

2023-12-12T17:41:07.834042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:07.942484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
도시대기 10000
100.0%

측정항목 영문명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
pH
2081 
DO
2024 
COD
1983 
EC
1963 
Temp
1949 

Length

Max length4
Median length2
Mean length2.5881
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowDO
2nd rowDO
3rd rowTemp
4th rowTemp
5th rowEC

Common Values

ValueCountFrequency (%)
pH 2081
20.8%
DO 2024
20.2%
COD 1983
19.8%
EC 1963
19.6%
Temp 1949
19.5%

Length

2023-12-12T17:41:08.047081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:08.160561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ph 2081
20.8%
do 2024
20.2%
cod 1983
19.8%
ec 1963
19.6%
temp 1949
19.5%

측정항목 한글명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
수소이온농도
2081 
용존산소
2024 
화학적산소요구량
1983 
전기전도도
1963 
수온
1949 

Length

Max length8
Median length5
Mean length5.0159
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용존산소
2nd row용존산소
3rd row수온
4th row수온
5th row전기전도도

Common Values

ValueCountFrequency (%)
수소이온농도 2081
20.8%
용존산소 2024
20.2%
화학적산소요구량 1983
19.8%
전기전도도 1963
19.6%
수온 1949
19.5%

Length

2023-12-12T17:41:08.278547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:08.379158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수소이온농도 2081
20.8%
용존산소 2024
20.2%
화학적산소요구량 1983
19.8%
전기전도도 1963
19.6%
수온 1949
19.5%
Distinct5097
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-01 00:00:00
Maximum2021-09-16 09:00:00
2023-12-12T17:41:08.500205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:41:08.628067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

측정값
Real number (ℝ)

Distinct2945
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean691.8266
Minimum0
Maximum48451
Zeros61
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T17:41:08.741476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.4
Q17
median19.6
Q3140
95-th percentile4028.05
Maximum48451
Range48451
Interquartile range (IQR)133

Descriptive statistics

Standard deviation2054.6744
Coefficient of variation (CV)2.9699268
Kurtosis168.52085
Mean691.8266
Median Absolute Deviation (MAD)18.4
Skewness10.151571
Sum6918266
Variance4221686.8
MonotonicityNot monotonic
2023-12-12T17:41:08.872869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 287
 
2.9%
0.4 268
 
2.7%
7.1 267
 
2.7%
7.0 264
 
2.6%
0.5 262
 
2.6%
7.3 187
 
1.9%
0.3 168
 
1.7%
0.6 163
 
1.6%
6.9 155
 
1.6%
7.5 121
 
1.2%
Other values (2935) 7858
78.6%
ValueCountFrequency (%)
0.0 61
 
0.6%
0.1 23
 
0.2%
0.2 39
 
0.4%
0.3 168
1.7%
0.4 268
2.7%
0.5 262
2.6%
0.6 163
1.6%
0.7 102
 
1.0%
0.8 44
 
0.4%
0.9 28
 
0.3%
ValueCountFrequency (%)
48451.0 1
< 0.1%
44563.0 1
< 0.1%
42843.0 1
< 0.1%
39178.0 1
< 0.1%
37490.0 1
< 0.1%
37302.0 1
< 0.1%
37275.0 1
< 0.1%
36850.0 1
< 0.1%
36766.0 1
< 0.1%
36616.0 1
< 0.1%

기준치초과여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
9268 
초과
 
732

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 9268
92.7%
초과 732
 
7.3%

Length

2023-12-12T17:41:09.003970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:09.082181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 9268
92.7%
초과 732
 
7.3%

측정기상태
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
9831 
보수중
 
157
교정중
 
11
전원단절
 
1

Length

Max length4
Median length2
Mean length2.017
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
정상 9831
98.3%
보수중 157
 
1.6%
교정중 11
 
0.1%
전원단절 1
 
< 0.1%

Length

2023-12-12T17:41:09.190907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:09.303810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 9831
98.3%
보수중 157
 
1.6%
교정중 11
 
0.1%
전원단절 1
 
< 0.1%

데이터로거상태
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정상
10000 

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 10000
100.0%

Length

2023-12-12T17:41:09.413175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:41:09.492566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 10000
100.0%

Interactions

2023-12-12T17:41:04.277532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:41:09.551175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정소명주소경도위도측정소 정렬 순서측정항목 영문명측정항목 한글명측정값기준치초과여부측정기상태
측정소명1.0001.0001.0001.0001.0000.0000.0000.0630.0230.196
주소1.0001.0001.0001.0001.0000.0000.0000.0630.0230.196
경도1.0001.0001.0001.0001.0000.0000.0000.0630.0230.196
위도1.0001.0001.0001.0001.0000.0000.0000.0630.0230.196
측정소 정렬 순서1.0001.0001.0001.0001.0000.0000.0000.0630.0230.196
측정항목 영문명0.0000.0000.0000.0000.0001.0001.0000.2090.3540.006
측정항목 한글명0.0000.0000.0000.0000.0001.0001.0000.2090.3540.006
측정값0.0630.0630.0630.0630.0630.2090.2091.0000.0200.213
기준치초과여부0.0230.0230.0230.0230.0230.3540.3540.0201.0000.049
측정기상태0.1960.1960.1960.1960.1960.0060.0060.2130.0491.000
2023-12-12T17:41:09.677014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정항목 한글명측정항목 영문명기준치초과여부경도위도주소측정기상태측정소 정렬 순서측정소명
측정항목 한글명1.0001.0000.4320.0000.0000.0000.0050.0000.000
측정항목 영문명1.0001.0000.4320.0000.0000.0000.0050.0000.000
기준치초과여부0.4320.4321.0000.0150.0150.0150.0330.0150.015
경도0.0000.0000.0151.0001.0001.0000.1301.0001.000
위도0.0000.0000.0151.0001.0001.0000.1301.0001.000
주소0.0000.0000.0151.0001.0001.0000.1301.0001.000
측정기상태0.0050.0050.0330.1300.1300.1301.0000.1300.130
측정소 정렬 순서0.0000.0000.0151.0001.0001.0000.1301.0001.000
측정소명0.0000.0000.0151.0001.0001.0000.1301.0001.000
2023-12-12T17:41:09.794752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
측정값측정소명주소경도위도측정소 정렬 순서측정항목 영문명측정항목 한글명기준치초과여부측정기상태
측정값1.0000.0620.0620.0620.0620.0620.1220.1220.0200.138
측정소명0.0621.0001.0001.0001.0001.0000.0000.0000.0150.130
주소0.0621.0001.0001.0001.0001.0000.0000.0000.0150.130
경도0.0621.0001.0001.0001.0001.0000.0000.0000.0150.130
위도0.0621.0001.0001.0001.0001.0000.0000.0000.0150.130
측정소 정렬 순서0.0621.0001.0001.0001.0001.0000.0000.0000.0150.130
측정항목 영문명0.1220.0000.0000.0000.0000.0001.0001.0000.4320.005
측정항목 한글명0.1220.0000.0000.0000.0000.0001.0001.0000.4320.005
기준치초과여부0.0200.0150.0150.0150.0150.0150.4320.4321.0000.033
측정기상태0.1380.1300.1300.1300.1300.1300.0050.0050.0331.000

Missing values

2023-12-12T17:41:04.503735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:41:04.873293image/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

측정소명권역군구명측정구분주소경도위도지도 표시 여부측정소 정렬 순서설치일자측정망종류측정항목 영문명측정항목 한글명측정일자측정값기준치초과여부측정기상태데이터로거상태
16368가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기DO용존산소2021-05-23 5:000.5정상정상정상
16262가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기DO용존산소2021-06-01 0:000.5정상정상정상
54237가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기Temp수온2021-06-22 8:0021.8정상정상정상
27070가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기Temp수온2021-06-23 5:0025.1정상정상정상
23570가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기EC전기전도도2021-05-30 18:003702.0정상정상정상
13933가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기COD화학적산소요구량2021-09-09 9:005.3정상보수중정상
49573가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기pH수소이온농도2021-05-07 8:007.0정상정상정상
54747가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기DO용존산소2021-02-12 21:000.2정상정상정상
28724가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기DO용존산소2021-08-01 14:000.4정상정상정상
44852가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기DO용존산소2021-04-05 19:000.8정상정상정상
측정소명권역군구명측정구분주소경도위도지도 표시 여부측정소 정렬 순서설치일자측정망종류측정항목 영문명측정항목 한글명측정일자측정값기준치초과여부측정기상태데이터로거상태
23713가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기Temp수온2021-07-04 11:0024.1정상정상정상
23952가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기COD화학적산소요구량2021-02-03 8:00112.2정상정상정상
2121가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기EC전기전도도2021-05-21 2:00891.0정상정상정상
22102가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기pH수소이온농도2021-07-01 3:007.2정상정상정상
12816가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기pH수소이온농도2021-05-16 20:007.3정상정상정상
52726가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기COD화학적산소요구량2021-06-03 3:0066.8정상정상정상
20622가좌천1동남부미추홀구고정현대제철 앞126.64804837.492183Y12000-01-01도시대기pH수소이온농도2021-07-27 11:007.4정상정상정상
10220가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기EC전기전도도2021-04-22 22:002125.0정상정상정상
8663가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기pH수소이온농도2021-02-07 18:007.1정상정상정상
4777가좌천2동남부미추홀구고정동화기업 제3공장 정문 경비실 앞126.6608137.49533Y22000-01-01도시대기pH수소이온농도2021-04-07 21:007.1정상정상정상