Overview

Dataset statistics

Number of variables53
Number of observations323
Missing cells4672
Missing cells (%)27.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory150.3 KiB
Average record size in memory476.4 B

Variable types

Numeric20
Categorical23
Unsupported10

Dataset

Description- 연도·하천별 수질 측정 정보를 제공합니다. - DO(Dissolved Oxygen): 용존산소. 물의 오염 상태를 나타내는 지표 항목 중의 하나로 물에 녹아 있는 산소의 농도 - BOD(Biochemical Oxygen Demand): 생물화학적 산소요구량. 물의 유기 오염 지표의 한 가지로서 어떤 물속의 미생물이 산소가 존재하는 상태에서 유기물을 분해, 안정시키는데 요구되는 산소량 - COD(Chemical Oxygen Demand): 화학적 산소요구량. 생물학적 산소 요구량과 마찬가지로 하천 오염 상태를 나타내는 수치로서, 물속의 유기물 등 오염이 되는 물질을 산화제로 산화시키는데 요구되는 산소의 양 - SS(Suspended Solids): 부유물질 - TN(Total Nitrogen): 총 질소. 무기성 질소 및 유기성 질소의 질소량의 합계 - TP(Total Phosphorus): 총 인. 하천, 호소 등의 부영양화를 나타내는 지표의 하나. 수중에 포함된 인의 총량 - TOC(Total Organic Carbon): 총 유기탄소. 수중에서 유기적으로 결합된 탄소의 합 - 데이터 제공처: 물환경정보시스템
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/850

Alerts

테트라클로로에틸렌(㎎/L).1 is highly imbalanced (52.4%)Imbalance
폴리크로리네이티트비페닐(㎎/L) is highly imbalanced (69.0%)Imbalance
유기인(㎎/L) is highly imbalanced (69.0%)Imbalance
디에틸헥실프탈레이트 (㎎/L) is highly imbalanced (65.3%)Imbalance
수온(℃) has 80 (24.8%) missing valuesMissing
DO(㎎/L) has 80 (24.8%) missing valuesMissing
BOD(㎎/L) has 80 (24.8%) missing valuesMissing
COD(㎎/L) has 80 (24.8%) missing valuesMissing
SS(㎎/L) has 80 (24.8%) missing valuesMissing
TN(㎎/L) has 80 (24.8%) missing valuesMissing
TP(㎎/L) has 80 (24.8%) missing valuesMissing
TOC(㎎/L) has 80 (24.8%) missing valuesMissing
수소이온농도 has 80 (24.8%) missing valuesMissing
전기전도도(μS/㎝) has 80 (24.8%) missing valuesMissing
총대장균군수(총대장균군수/100ml) has 81 (25.1%) missing valuesMissing
구리(㎎/L) has 323 (100.0%) missing valuesMissing
아연(㎎/L) has 323 (100.0%) missing valuesMissing
크롬(㎎/L) has 323 (100.0%) missing valuesMissing
니켈(㎎/L) has 323 (100.0%) missing valuesMissing
바륨(㎎/L) has 323 (100.0%) missing valuesMissing
용존총질소(㎎/L) has 80 (24.8%) missing valuesMissing
암모니아성 질소(㎎/L) has 80 (24.8%) missing valuesMissing
질산성 질소(㎎/L) has 80 (24.8%) missing valuesMissing
용존총인(㎎/L) has 80 (24.8%) missing valuesMissing
인산염인(㎎/L) has 80 (24.8%) missing valuesMissing
클로로필 a(㎎/㎥) has 80 (24.8%) missing valuesMissing
분원성대장균군수 has 81 (25.1%) missing valuesMissing
불소(㎎/L) has 323 (100.0%) missing valuesMissing
색도(㎎/L) has 323 (100.0%) missing valuesMissing
노말헥산추출물질(㎎/L) has 323 (100.0%) missing valuesMissing
투명도(m) has 323 (100.0%) missing valuesMissing
유량(㎥/s) has 323 (100.0%) missing valuesMissing
구리(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
아연(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
크롬(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
니켈(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
바륨(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
불소(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
색도(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
노말헥산추출물질(㎎/L) is an unsupported type, check if it needs cleaning or further analysisUnsupported
투명도(m) is an unsupported type, check if it needs cleaning or further analysisUnsupported
유량(㎥/s) is an unsupported type, check if it needs cleaning or further analysisUnsupported
암모니아성 질소(㎎/L) has 66 (20.4%) zerosZeros

Reproduction

Analysis started2023-12-11 20:08:30.006187
Analysis finished2023-12-11 20:08:30.566226
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

Distinct8
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.6223
Minimum2016
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:30.624836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2023
Maximum2023
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.9859127
Coefficient of variation (CV)0.00098330898
Kurtosis-1.1006735
Mean2019.6223
Median Absolute Deviation (MAD)2
Skewness0.01292127
Sum652338
Variance3.9438494
MonotonicityIncreasing
2023-12-12T05:08:30.739713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2017 48
14.9%
2018 48
14.9%
2019 48
14.9%
2020 48
14.9%
2021 48
14.9%
2022 47
14.6%
2023 24
7.4%
2016 12
 
3.7%
ValueCountFrequency (%)
2016 12
 
3.7%
2017 48
14.9%
2018 48
14.9%
2019 48
14.9%
2020 48
14.9%
2021 48
14.9%
2022 47
14.6%
2023 24
7.4%
ValueCountFrequency (%)
2023 24
7.4%
2022 47
14.6%
2021 48
14.9%
2020 48
14.9%
2019 48
14.9%
2018 48
14.9%
2017 48
14.9%
2016 12
 
3.7%

월
Real number (ℝ)

Distinct12
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4582043
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:30.879524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)7

Descriptive statistics

Standard deviation3.5016348
Coefficient of variation (CV)0.54219945
Kurtosis-1.2489498
Mean6.4582043
Median Absolute Deviation (MAD)3
Skewness0.0370974
Sum2086
Variance12.261446
MonotonicityNot monotonic
2023-12-12T05:08:30.995047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
10 28
8.7%
11 28
8.7%
12 28
8.7%
1 28
8.7%
3 28
8.7%
4 28
8.7%
5 28
8.7%
6 28
8.7%
2 27
8.4%
7 24
7.4%
Other values (2) 48
14.9%
ValueCountFrequency (%)
1 28
8.7%
2 27
8.4%
3 28
8.7%
4 28
8.7%
5 28
8.7%
6 28
8.7%
7 24
7.4%
8 24
7.4%
9 24
7.4%
10 28
8.7%
ValueCountFrequency (%)
12 28
8.7%
11 28
8.7%
10 28
8.7%
9 24
7.4%
8 24
7.4%
7 24
7.4%
6 28
8.7%
5 28
8.7%
4 28
8.7%
3 28
8.7%

하천
Categorical

Distinct4
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
동홍천
81 
옹포천
81 
외도천
81 
천미천
80 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동홍천
2nd row옹포천
3rd row외도천
4th row천미천
5th row동홍천

Common Values

ValueCountFrequency (%)
동홍천 81
25.1%
옹포천 81
25.1%
외도천 81
25.1%
천미천 80
24.8%

Length

2023-12-12T05:08:31.135548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:31.248539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동홍천 81
25.1%
옹포천 81
25.1%
외도천 81
25.1%
천미천 80
24.8%

수온(℃)
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)27.2%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean16.546091
Minimum8.4
Maximum149.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:31.374018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile13.51
Q115
median16
Q317
95-th percentile18.58
Maximum149.9
Range141.5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.7594539
Coefficient of variation (CV)0.52939719
Kurtosis224.5199
Mean16.546091
Median Absolute Deviation (MAD)1
Skewness14.688246
Sum4020.7
Variance76.728032
MonotonicityNot monotonic
2023-12-12T05:08:31.557429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.0 16
 
5.0%
15.0 16
 
5.0%
17.0 10
 
3.1%
16.5 9
 
2.8%
17.5 9
 
2.8%
15.7 9
 
2.8%
15.8 9
 
2.8%
15.4 9
 
2.8%
16.6 8
 
2.5%
17.2 7
 
2.2%
Other values (56) 141
43.7%
(Missing) 80
24.8%
ValueCountFrequency (%)
8.4 1
0.3%
8.5 1
0.3%
8.6 1
0.3%
12.0 2
0.6%
12.5 2
0.6%
12.8 1
0.3%
13.0 1
0.3%
13.3 1
0.3%
13.4 2
0.6%
13.5 1
0.3%
ValueCountFrequency (%)
149.9 1
0.3%
20.5 1
0.3%
20.3 2
0.6%
20.2 1
0.3%
20.0 1
0.3%
19.7 1
0.3%
19.6 1
0.3%
19.5 1
0.3%
19.3 1
0.3%
19.0 2
0.6%

DO(㎎/L)
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)23.9%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean9.4489712
Minimum6
Maximum15.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:32.017547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.5
Q19.05
median9.6
Q310.2
95-th percentile11.1
Maximum15.3
Range9.3
Interquartile range (IQR)1.15

Descriptive statistics

Standard deviation1.3186006
Coefficient of variation (CV)0.13954965
Kurtosis1.9110511
Mean9.4489712
Median Absolute Deviation (MAD)0.6
Skewness-0.54405067
Sum2296.1
Variance1.7387076
MonotonicityNot monotonic
2023-12-12T05:08:32.213665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 20
 
6.2%
9.5 15
 
4.6%
9.7 14
 
4.3%
9.9 12
 
3.7%
9.3 11
 
3.4%
9.8 10
 
3.1%
10.4 10
 
3.1%
10.8 9
 
2.8%
9.4 8
 
2.5%
10.1 8
 
2.5%
Other values (48) 126
39.0%
(Missing) 80
24.8%
ValueCountFrequency (%)
6.0 2
0.6%
6.1 1
 
0.3%
6.2 3
0.9%
6.3 2
0.6%
6.4 4
1.2%
6.5 2
0.6%
6.6 2
0.6%
6.7 2
0.6%
6.8 2
0.6%
7.0 1
 
0.3%
ValueCountFrequency (%)
15.3 1
0.3%
12.1 1
0.3%
11.9 1
0.3%
11.8 1
0.3%
11.6 1
0.3%
11.5 2
0.6%
11.4 2
0.6%
11.3 1
0.3%
11.2 2
0.6%
11.1 2
0.6%

BOD(㎎/L)
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)4.5%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.3345679
Minimum0
Maximum1.1
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:32.391757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.2
median0.3
Q30.4
95-th percentile0.7
Maximum1.1
Range1.1
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.17164288
Coefficient of variation (CV)0.51302854
Kurtosis2.9729296
Mean0.3345679
Median Absolute Deviation (MAD)0.1
Skewness1.4489784
Sum81.3
Variance0.029461279
MonotonicityNot monotonic
2023-12-12T05:08:32.560792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0.3 99
30.7%
0.2 46
14.2%
0.4 34
 
10.5%
0.1 21
 
6.5%
0.5 16
 
5.0%
0.6 11
 
3.4%
0.7 7
 
2.2%
0.9 5
 
1.5%
0.8 2
 
0.6%
0.0 1
 
0.3%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.0 1
 
0.3%
0.1 21
 
6.5%
0.2 46
14.2%
0.3 99
30.7%
0.4 34
 
10.5%
0.5 16
 
5.0%
0.6 11
 
3.4%
0.7 7
 
2.2%
0.8 2
 
0.6%
0.9 5
 
1.5%
ValueCountFrequency (%)
1.1 1
 
0.3%
0.9 5
 
1.5%
0.8 2
 
0.6%
0.7 7
 
2.2%
0.6 11
 
3.4%
0.5 16
 
5.0%
0.4 34
 
10.5%
0.3 99
30.7%
0.2 46
14.2%
0.1 21
 
6.5%

COD(㎎/L)
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)10.3%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.9872428
Minimum0.1
Maximum3.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:32.729903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.7
median0.9
Q31.2
95-th percentile1.9
Maximum3.8
Range3.7
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.51172392
Coefficient of variation (CV)0.51833645
Kurtosis3.8357375
Mean0.9872428
Median Absolute Deviation (MAD)0.3
Skewness1.2768396
Sum239.9
Variance0.26186137
MonotonicityNot monotonic
2023-12-12T05:08:32.924954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0.9 28
 
8.7%
0.7 26
 
8.0%
1.0 22
 
6.8%
1.2 20
 
6.2%
0.5 16
 
5.0%
0.8 16
 
5.0%
0.6 15
 
4.6%
1.1 15
 
4.6%
0.4 11
 
3.4%
1.3 10
 
3.1%
Other values (15) 64
19.8%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.1 5
 
1.5%
0.2 5
 
1.5%
0.3 7
 
2.2%
0.4 11
 
3.4%
0.5 16
5.0%
0.6 15
4.6%
0.7 26
8.0%
0.8 16
5.0%
0.9 28
8.7%
1.0 22
6.8%
ValueCountFrequency (%)
3.8 1
 
0.3%
2.6 2
 
0.6%
2.5 1
 
0.3%
2.4 2
 
0.6%
2.2 1
 
0.3%
2.1 1
 
0.3%
1.9 7
2.2%
1.8 2
 
0.6%
1.7 4
1.2%
1.6 8
2.5%

SS(㎎/L)
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)4.9%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.89876543
Minimum0.4
Maximum10.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:33.111109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.4
5-th percentile0.4
Q10.4
median0.4
Q31.2
95-th percentile2.4
Maximum10.4
Range10
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.97749391
Coefficient of variation (CV)1.0875962
Kurtosis37.948857
Mean0.89876543
Median Absolute Deviation (MAD)0
Skewness4.870074
Sum218.4
Variance0.95549434
MonotonicityNot monotonic
2023-12-12T05:08:33.256802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.4 132
40.9%
0.8 49
 
15.2%
1.2 28
 
8.7%
2.4 10
 
3.1%
1.6 8
 
2.5%
3.6 4
 
1.2%
2.8 4
 
1.2%
2.0 4
 
1.2%
4.8 1
 
0.3%
10.4 1
 
0.3%
Other values (2) 2
 
0.6%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.4 132
40.9%
0.8 49
 
15.2%
1.2 28
 
8.7%
1.6 8
 
2.5%
2.0 4
 
1.2%
2.4 10
 
3.1%
2.8 4
 
1.2%
3.2 1
 
0.3%
3.6 4
 
1.2%
4.0 1
 
0.3%
ValueCountFrequency (%)
10.4 1
 
0.3%
4.8 1
 
0.3%
4.0 1
 
0.3%
3.6 4
 
1.2%
3.2 1
 
0.3%
2.8 4
 
1.2%
2.4 10
 
3.1%
2.0 4
 
1.2%
1.6 8
 
2.5%
1.2 28
8.7%

TN(㎎/L)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)98.8%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean7.154107
Minimum0.953
Maximum22.491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:33.419086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.953
5-th percentile1.1248
Q12.0345
median3.309
Q314.129
95-th percentile19.4571
Maximum22.491
Range21.538
Interquartile range (IQR)12.0945

Descriptive statistics

Standard deviation6.6791252
Coefficient of variation (CV)0.93360711
Kurtosis-0.95700587
Mean7.154107
Median Absolute Deviation (MAD)1.78
Skewness0.81937052
Sum1738.448
Variance44.610713
MonotonicityNot monotonic
2023-12-12T05:08:33.593880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.239 2
 
0.6%
1.241 2
 
0.6%
1.124 2
 
0.6%
15.856 1
 
0.3%
1.716 1
 
0.3%
0.984 1
 
0.3%
14.175 1
 
0.3%
2.229 1
 
0.3%
1.18 1
 
0.3%
14.064 1
 
0.3%
Other values (230) 230
71.2%
(Missing) 80
 
24.8%
ValueCountFrequency (%)
0.953 1
0.3%
0.962 1
0.3%
0.963 1
0.3%
0.984 1
0.3%
1.014 1
0.3%
1.025 1
0.3%
1.037 1
0.3%
1.052 1
0.3%
1.082 1
0.3%
1.112 1
0.3%
ValueCountFrequency (%)
22.491 1
0.3%
22.292 1
0.3%
22.013 1
0.3%
21.615 1
0.3%
21.178 1
0.3%
21.065 1
0.3%
21.013 1
0.3%
20.918 1
0.3%
20.868 1
0.3%
20.478 1
0.3%

TP(㎎/L)
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)40.7%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.10283951
Minimum0.041
Maximum0.332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:33.745661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.041
5-th percentile0.061
Q10.0805
median0.097
Q30.114
95-th percentile0.1609
Maximum0.332
Range0.291
Interquartile range (IQR)0.0335

Descriptive statistics

Standard deviation0.040425768
Coefficient of variation (CV)0.3930957
Kurtosis10.463013
Mean0.10283951
Median Absolute Deviation (MAD)0.017
Skewness2.7211289
Sum24.99
Variance0.0016342427
MonotonicityNot monotonic
2023-12-12T05:08:33.930800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.099 9
 
2.8%
0.115 7
 
2.2%
0.094 7
 
2.2%
0.089 7
 
2.2%
0.088 6
 
1.9%
0.116 6
 
1.9%
0.104 6
 
1.9%
0.096 6
 
1.9%
0.113 5
 
1.5%
0.093 5
 
1.5%
Other values (89) 179
55.4%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.041 1
 
0.3%
0.048 1
 
0.3%
0.052 1
 
0.3%
0.055 1
 
0.3%
0.056 2
 
0.6%
0.057 1
 
0.3%
0.058 2
 
0.6%
0.06 2
 
0.6%
0.061 4
1.2%
0.062 5
1.5%
ValueCountFrequency (%)
0.332 1
0.3%
0.297 2
0.6%
0.28 1
0.3%
0.269 1
0.3%
0.235 1
0.3%
0.231 1
0.3%
0.223 1
0.3%
0.202 1
0.3%
0.181 1
0.3%
0.174 1
0.3%

TOC(㎎/L)
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)9.9%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.7255144
Minimum0
Maximum5.4
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:34.066138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.3
Q10.4
median0.6
Q30.8
95-th percentile1.8
Maximum5.4
Range5.4
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.65132354
Coefficient of variation (CV)0.89774033
Kurtosis24.093224
Mean0.7255144
Median Absolute Deviation (MAD)0.2
Skewness4.2541032
Sum176.3
Variance0.42422236
MonotonicityNot monotonic
2023-12-12T05:08:34.254922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
0.6 43
13.3%
0.3 35
10.8%
0.5 33
10.2%
0.4 31
 
9.6%
0.7 24
 
7.4%
0.8 21
 
6.5%
0.9 9
 
2.8%
0.2 8
 
2.5%
1.0 7
 
2.2%
1.6 5
 
1.5%
Other values (14) 27
 
8.4%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.0 1
 
0.3%
0.1 1
 
0.3%
0.2 8
 
2.5%
0.3 35
10.8%
0.4 31
9.6%
0.5 33
10.2%
0.6 43
13.3%
0.7 24
7.4%
0.8 21
6.5%
0.9 9
 
2.8%
ValueCountFrequency (%)
5.4 1
 
0.3%
5.1 1
 
0.3%
4.7 1
 
0.3%
2.5 3
0.9%
2.3 2
 
0.6%
1.9 3
0.9%
1.8 3
0.9%
1.7 1
 
0.3%
1.6 5
1.5%
1.5 2
 
0.6%

수소이온농도
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)11.1%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean7.6382716
Minimum6
Maximum9.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:34.436929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile7
Q17.4
median7.7
Q37.9
95-th percentile8.3
Maximum9.4
Range3.4
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.46065922
Coefficient of variation (CV)0.060309353
Kurtosis2.5228204
Mean7.6382716
Median Absolute Deviation (MAD)0.3
Skewness-0.62845522
Sum1856.1
Variance0.21220692
MonotonicityNot monotonic
2023-12-12T05:08:34.601068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
7.6 27
 
8.4%
7.7 27
 
8.4%
7.5 26
 
8.0%
7.9 22
 
6.8%
7.8 17
 
5.3%
7.4 17
 
5.3%
8.0 16
 
5.0%
7.3 15
 
4.6%
8.1 15
 
4.6%
7.2 13
 
4.0%
Other values (17) 48
14.9%
(Missing) 80
24.8%
ValueCountFrequency (%)
6.0 1
 
0.3%
6.1 2
 
0.6%
6.2 2
 
0.6%
6.3 2
 
0.6%
6.4 1
 
0.3%
6.5 1
 
0.3%
6.6 1
 
0.3%
6.9 2
 
0.6%
7.0 3
 
0.9%
7.1 8
2.5%
ValueCountFrequency (%)
9.4 1
 
0.3%
8.9 1
 
0.3%
8.6 1
 
0.3%
8.5 1
 
0.3%
8.4 2
 
0.6%
8.3 9
2.8%
8.2 10
3.1%
8.1 15
4.6%
8.0 16
5.0%
7.9 22
6.8%

페놀류(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
0
246 
<NA>
77 

Length

Max length4
Median length1
Mean length1.7151703
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 246
76.2%
<NA> 77
 
23.8%

Length

2023-12-12T05:08:34.803803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:34.927035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 246
76.2%
na 77
 
23.8%

전기전도도(μS/㎝)
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)66.7%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean208.8107
Minimum9
Maximum1725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:35.102054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile58.2
Q197
median141
Q3304.5
95-th percentile474.3
Maximum1725
Range1716
Interquartile range (IQR)207.5

Descriptive statistics

Standard deviation177.2232
Coefficient of variation (CV)0.84872663
Kurtosis22.393324
Mean208.8107
Median Absolute Deviation (MAD)55
Skewness3.4648483
Sum50741
Variance31408.063
MonotonicityNot monotonic
2023-12-12T05:08:35.280680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
92 5
 
1.5%
85 4
 
1.2%
121 4
 
1.2%
76 4
 
1.2%
117 4
 
1.2%
97 4
 
1.2%
91 4
 
1.2%
86 4
 
1.2%
88 4
 
1.2%
141 3
 
0.9%
Other values (152) 203
62.8%
(Missing) 80
 
24.8%
ValueCountFrequency (%)
9 1
 
0.3%
27 1
 
0.3%
41 1
 
0.3%
42 3
0.9%
43 1
 
0.3%
45 1
 
0.3%
50 2
0.6%
53 1
 
0.3%
57 1
 
0.3%
58 1
 
0.3%
ValueCountFrequency (%)
1725 1
0.3%
763 1
0.3%
757 2
0.6%
755 1
0.3%
753 1
0.3%
642 1
0.3%
630 1
0.3%
583 2
0.6%
500 1
0.3%
477 1
0.3%

총대장균군수(총대장균군수/100ml)
Real number (ℝ)

MISSING 

Distinct148
Distinct (%)61.2%
Missing81
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean2495.1901
Minimum8
Maximum44000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:35.469698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile46.5
Q1270
median1000
Q33200
95-th percentile8790
Maximum44000
Range43992
Interquartile range (IQR)2930

Descriptive statistics

Standard deviation3989.0511
Coefficient of variation (CV)1.5986963
Kurtosis48.684472
Mean2495.1901
Median Absolute Deviation (MAD)903
Skewness5.4195793
Sum603836
Variance15912528
MonotonicityNot monotonic
2023-12-12T05:08:35.635138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2700 8
 
2.5%
3000 6
 
1.9%
270 5
 
1.5%
800 5
 
1.5%
260 5
 
1.5%
3300 4
 
1.2%
2500 4
 
1.2%
1000 4
 
1.2%
700 4
 
1.2%
400 3
 
0.9%
Other values (138) 194
60.1%
(Missing) 81
25.1%
ValueCountFrequency (%)
8 1
0.3%
15 1
0.3%
20 1
0.3%
24 1
0.3%
25 1
0.3%
26 1
0.3%
32 1
0.3%
34 1
0.3%
35 1
0.3%
39 1
0.3%
ValueCountFrequency (%)
44000 1
0.3%
15000 1
0.3%
13400 1
0.3%
12800 1
0.3%
12600 1
0.3%
12400 1
0.3%
12000 1
0.3%
11200 1
0.3%
10200 1
0.3%
10000 1
0.3%

카드뮴(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:35.840726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:35.967627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

시안(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:36.095554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:36.246896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

납(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:36.371359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:36.522142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

6가크롬(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:36.644552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:36.774022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

비소(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:36.925510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:37.062378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

수은(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:37.197891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:37.351024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

구리(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

아연(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

크롬(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

니켈(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

바륨(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

용존총질소(㎎/L)
Real number (ℝ)

MISSING 

Distinct243
Distinct (%)100.0%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean6.8758683
Minimum0.819
Maximum21.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:37.512057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.819
5-th percentile1.1234
Q11.913
median3.15
Q313.8305
95-th percentile18.2572
Maximum21.85
Range21.031
Interquartile range (IQR)11.9175

Descriptive statistics

Standard deviation6.3739706
Coefficient of variation (CV)0.92700592
Kurtosis-1.0245062
Mean6.8758683
Median Absolute Deviation (MAD)1.741
Skewness0.79708419
Sum1670.836
Variance40.627501
MonotonicityNot monotonic
2023-12-12T05:08:37.709092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.014 1
 
0.3%
1.901 1
 
0.3%
0.976 1
 
0.3%
13.944 1
 
0.3%
2.222 1
 
0.3%
1.154 1
 
0.3%
13.96 1
 
0.3%
3.554 1
 
0.3%
1.686 1
 
0.3%
16.02 1
 
0.3%
Other values (233) 233
72.1%
(Missing) 80
 
24.8%
ValueCountFrequency (%)
0.819 1
0.3%
0.935 1
0.3%
0.943 1
0.3%
0.976 1
0.3%
1.001 1
0.3%
1.014 1
0.3%
1.034 1
0.3%
1.052 1
0.3%
1.078 1
0.3%
1.1 1
0.3%
ValueCountFrequency (%)
21.85 1
0.3%
20.756 1
0.3%
20.277 1
0.3%
20.145 1
0.3%
20.078 1
0.3%
19.901 1
0.3%
19.805 1
0.3%
19.749 1
0.3%
19.691 1
0.3%
19.116 1
0.3%

암모니아성 질소(㎎/L)
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)29.2%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.033674897
Minimum0
Maximum0.495
Zeros66
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:37.877706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.018
Q30.0355
95-th percentile0.1028
Maximum0.495
Range0.495
Interquartile range (IQR)0.0355

Descriptive statistics

Standard deviation0.062751488
Coefficient of variation (CV)1.86345
Kurtosis28.459214
Mean0.033674897
Median Absolute Deviation (MAD)0.018
Skewness4.9191419
Sum8.183
Variance0.0039377492
MonotonicityNot monotonic
2023-12-12T05:08:38.039104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 66
20.4%
0.013 12
 
3.7%
0.012 10
 
3.1%
0.017 10
 
3.1%
0.016 7
 
2.2%
0.018 7
 
2.2%
0.015 7
 
2.2%
0.021 6
 
1.9%
0.023 6
 
1.9%
0.014 5
 
1.5%
Other values (61) 107
33.1%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.0 66
20.4%
0.01 1
 
0.3%
0.011 3
 
0.9%
0.012 10
 
3.1%
0.013 12
 
3.7%
0.014 5
 
1.5%
0.015 7
 
2.2%
0.016 7
 
2.2%
0.017 10
 
3.1%
0.018 7
 
2.2%
ValueCountFrequency (%)
0.495 1
0.3%
0.457 1
0.3%
0.413 1
0.3%
0.351 1
0.3%
0.289 1
0.3%
0.245 1
0.3%
0.148 1
0.3%
0.141 1
0.3%
0.133 1
0.3%
0.128 1
0.3%

질산성 질소(㎎/L)
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)98.8%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean6.1884691
Minimum0.72
Maximum18.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:38.535952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.72
5-th percentile0.9693
Q11.692
median2.878
Q312.715
95-th percentile16.2215
Maximum18.87
Range18.15
Interquartile range (IQR)11.023

Descriptive statistics

Standard deviation5.7374508
Coefficient of variation (CV)0.92711955
Kurtosis-1.1534702
Mean6.1884691
Median Absolute Deviation (MAD)1.744
Skewness0.74612777
Sum1503.798
Variance32.918341
MonotonicityNot monotonic
2023-12-12T05:08:38.723641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.083 2
 
0.6%
3.377 2
 
0.6%
0.91 2
 
0.6%
12.861 1
 
0.3%
1.679 1
 
0.3%
0.72 1
 
0.3%
12.307 1
 
0.3%
1.838 1
 
0.3%
1.077 1
 
0.3%
12.163 1
 
0.3%
Other values (230) 230
71.2%
(Missing) 80
 
24.8%
ValueCountFrequency (%)
0.72 1
0.3%
0.793 1
0.3%
0.805 1
0.3%
0.813 1
0.3%
0.876 1
0.3%
0.896 1
0.3%
0.91 2
0.6%
0.921 1
0.3%
0.923 1
0.3%
0.933 1
0.3%
ValueCountFrequency (%)
18.87 1
0.3%
18.799 1
0.3%
18.579 1
0.3%
17.94 1
0.3%
17.64 1
0.3%
17.376 1
0.3%
17.248 1
0.3%
16.82 1
0.3%
16.734 1
0.3%
16.636 1
0.3%

용존총인(㎎/L)
Real number (ℝ)

MISSING 

Distinct92
Distinct (%)37.9%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.098934156
Minimum0.034
Maximum1.112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:38.941338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.034
5-th percentile0.057
Q10.074
median0.091
Q30.105
95-th percentile0.1519
Maximum1.112
Range1.078
Interquartile range (IQR)0.031

Descriptive statistics

Standard deviation0.074375053
Coefficient of variation (CV)0.75176315
Kurtosis143.43378
Mean0.098934156
Median Absolute Deviation (MAD)0.015
Skewness10.787635
Sum24.041
Variance0.0055316485
MonotonicityNot monotonic
2023-12-12T05:08:39.118407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.099 7
 
2.2%
0.078 7
 
2.2%
0.088 7
 
2.2%
0.087 7
 
2.2%
0.092 6
 
1.9%
0.082 6
 
1.9%
0.105 6
 
1.9%
0.103 6
 
1.9%
0.108 6
 
1.9%
0.091 6
 
1.9%
Other values (82) 179
55.4%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.034 1
 
0.3%
0.037 1
 
0.3%
0.05 1
 
0.3%
0.051 1
 
0.3%
0.054 4
1.2%
0.055 2
0.6%
0.056 1
 
0.3%
0.057 3
0.9%
0.058 3
0.9%
0.059 4
1.2%
ValueCountFrequency (%)
1.112 1
0.3%
0.29 1
0.3%
0.277 1
0.3%
0.267 1
0.3%
0.262 1
0.3%
0.227 1
0.3%
0.223 1
0.3%
0.197 1
0.3%
0.196 1
0.3%
0.164 1
0.3%

인산염인(㎎/L)
Real number (ℝ)

MISSING 

Distinct96
Distinct (%)39.5%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.089572016
Minimum0
Maximum0.288
Zeros2
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:39.315193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.052
Q10.07
median0.085
Q30.1
95-th percentile0.1383
Maximum0.288
Range0.288
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.0380278
Coefficient of variation (CV)0.42455001
Kurtosis9.4011879
Mean0.089572016
Median Absolute Deviation (MAD)0.015
Skewness2.2757053
Sum21.766
Variance0.0014461136
MonotonicityNot monotonic
2023-12-12T05:08:39.507570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.09 8
 
2.5%
0.085 8
 
2.5%
0.092 7
 
2.2%
0.065 6
 
1.9%
0.086 6
 
1.9%
0.055 6
 
1.9%
0.084 6
 
1.9%
0.076 6
 
1.9%
0.089 6
 
1.9%
0.099 5
 
1.5%
Other values (86) 179
55.4%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.0 2
0.6%
0.009 1
0.3%
0.01 1
0.3%
0.011 1
0.3%
0.032 1
0.3%
0.035 1
0.3%
0.041 1
0.3%
0.047 1
0.3%
0.049 1
0.3%
0.05 2
0.6%
ValueCountFrequency (%)
0.288 1
0.3%
0.279 1
0.3%
0.268 1
0.3%
0.266 1
0.3%
0.226 1
0.3%
0.221 1
0.3%
0.195 1
0.3%
0.191 1
0.3%
0.163 1
0.3%
0.155 1
0.3%

클로로필 a(㎎/㎥)
Real number (ℝ)

MISSING 

Distinct35
Distinct (%)14.4%
Missing80
Missing (%)24.8%
Infinite0
Infinite (%)0.0%
Mean0.73950617
Minimum0
Maximum9
Zeros3
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:39.688040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.1
Q10.2
median0.4
Q30.9
95-th percentile2.29
Maximum9
Range9
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation1.0136684
Coefficient of variation (CV)1.370737
Kurtosis27.068965
Mean0.73950617
Median Absolute Deviation (MAD)0.3
Skewness4.3497497
Sum179.7
Variance1.0275237
MonotonicityNot monotonic
2023-12-12T05:08:39.831743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0.1 52
16.1%
0.4 24
 
7.4%
0.2 24
 
7.4%
0.3 21
 
6.5%
0.5 17
 
5.3%
0.7 17
 
5.3%
0.6 14
 
4.3%
0.9 10
 
3.1%
0.8 9
 
2.8%
1.5 6
 
1.9%
Other values (25) 49
15.2%
(Missing) 80
24.8%
ValueCountFrequency (%)
0.0 3
 
0.9%
0.1 52
16.1%
0.2 24
7.4%
0.3 21
6.5%
0.4 24
7.4%
0.5 17
 
5.3%
0.6 14
 
4.3%
0.7 17
 
5.3%
0.8 9
 
2.8%
0.9 10
 
3.1%
ValueCountFrequency (%)
9.0 1
0.3%
7.6 1
0.3%
4.5 1
0.3%
4.2 1
0.3%
3.6 1
0.3%
3.5 1
0.3%
3.4 1
0.3%
2.8 1
0.3%
2.7 2
0.6%
2.5 1
0.3%

헥사클로로벤젠 (㎍/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:40.021165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:40.207448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

분원성대장균군수
Real number (ℝ)

MISSING 

Distinct145
Distinct (%)59.9%
Missing81
Missing (%)25.1%
Infinite0
Infinite (%)0.0%
Mean416.11157
Minimum0
Maximum7000
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2023-12-12T05:08:40.342170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12
Q142.5
median129
Q3380
95-th percentile1500
Maximum7000
Range7000
Interquartile range (IQR)337.5

Descriptive statistics

Standard deviation899.82802
Coefficient of variation (CV)2.1624682
Kurtosis25.907404
Mean416.11157
Median Absolute Deviation (MAD)102
Skewness4.7183906
Sum100699
Variance809690.46
MonotonicityNot monotonic
2023-12-12T05:08:40.537798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
400 6
 
1.9%
140 6
 
1.9%
100 5
 
1.5%
40 5
 
1.5%
26 4
 
1.2%
17 4
 
1.2%
56 4
 
1.2%
250 4
 
1.2%
12 4
 
1.2%
54 4
 
1.2%
Other values (135) 196
60.7%
(Missing) 81
25.1%
ValueCountFrequency (%)
0 1
 
0.3%
1 1
 
0.3%
3 1
 
0.3%
5 2
0.6%
7 1
 
0.3%
8 2
0.6%
9 1
 
0.3%
10 2
0.6%
11 1
 
0.3%
12 4
1.2%
ValueCountFrequency (%)
7000 1
0.3%
6200 1
0.3%
5600 1
0.3%
4900 1
0.3%
4100 1
0.3%
3100 1
0.3%
3000 1
0.3%
2700 1
0.3%
2000 2
0.6%
1800 1
0.3%

불소(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

색도(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

노말헥산추출물질(㎎/L)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

음이온계면활성제(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:40.745636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:40.897211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

테트라클로로에틸렌(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:41.038576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:41.158040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

테트라클로로에틸렌(㎎/L).1
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
290 
0
33 

Length

Max length4
Median length4
Mean length3.6934985
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 290
89.8%
0 33
 
10.2%

Length

2023-12-12T05:08:41.313119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:41.503431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 290
89.8%
0 33
 
10.2%

사염화탄소
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:41.674774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:41.818151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

1.2-디클로로에탄(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:41.945243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:42.084927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

디클로로메탄(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:42.203501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:42.320904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

벤젠(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:42.477018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:42.609886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

폴리크로리네이티트비페닐(㎎/L)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
305 
0
 
18

Length

Max length4
Median length4
Mean length3.8328173
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 305
94.4%
0 18
 
5.6%

Length

2023-12-12T05:08:42.727835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:42.884830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 305
94.4%
0 18
 
5.6%

유기인(㎎/L)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
305 
0
 
18

Length

Max length4
Median length4
Mean length3.8328173
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 305
94.4%
0 18
 
5.6%

Length

2023-12-12T05:08:43.019081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:43.123237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 305
94.4%
0 18
 
5.6%

안티몬 (㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
242 
0
81 

Length

Max length4
Median length4
Mean length3.247678
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 242
74.9%
0 81
 
25.1%

Length

2023-12-12T05:08:43.225726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:43.365313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 242
74.9%
0 81
 
25.1%

클로로포름 (㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:43.501271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:43.611432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

디에틸헥실프탈레이트 (㎎/L)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
302 
0
 
21

Length

Max length4
Median length4
Mean length3.8049536
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 302
93.5%
0 21
 
6.5%

Length

2023-12-12T05:08:43.757789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:43.916440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 302
93.5%
0 21
 
6.5%

1.4-다이옥세인 (㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:44.148159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:44.293074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

투명도(m)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

유량(㎥/s)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing323
Missing (%)100.0%
Memory size3.0 KiB

포름알데히드(㎎/L)
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
284 
0
39 

Length

Max length4
Median length4
Mean length3.6377709
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 284
87.9%
0 39
 
12.1%

Length

2023-12-12T05:08:44.468822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:08:44.609613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 284
87.9%
0 39
 
12.1%

Sample

연도월하천수온(℃)DO(㎎/L)BOD(㎎/L)COD(㎎/L)SS(㎎/L)TN(㎎/L)TP(㎎/L)TOC(㎎/L)수소이온농도페놀류(㎎/L)전기전도도(μS/㎝)총대장균군수(총대장균군수/100ml)카드뮴(㎎/L)시안(㎎/L)납(㎎/L)6가크롬(㎎/L)비소(㎎/L)수은(㎎/L)구리(㎎/L)아연(㎎/L)크롬(㎎/L)니켈(㎎/L)바륨(㎎/L)용존총질소(㎎/L)암모니아성 질소(㎎/L)질산성 질소(㎎/L)용존총인(㎎/L)인산염인(㎎/L)클로로필 a(㎎/㎥)헥사클로로벤젠 (㎍/L)분원성대장균군수불소(㎎/L)색도(㎎/L)노말헥산추출물질(㎎/L)음이온계면활성제(㎎/L)테트라클로로에틸렌(㎎/L)테트라클로로에틸렌(㎎/L).1사염화탄소1.2-디클로로에탄(㎎/L)디클로로메탄(㎎/L)벤젠(㎎/L)폴리크로리네이티트비페닐(㎎/L)유기인(㎎/L)안티몬 (㎎/L)클로로포름 (㎎/L)디에틸헥실프탈레이트 (㎎/L)1.4-다이옥세인 (㎎/L)투명도(m)유량(㎥/s)포름알데히드(㎎/L)
0201610동홍천15.88.00.21.81.21.8570.0960.37.40863200<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1.8260.0291.6610.0910.0890.3<NA>1800<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
1201610옹포천15.97.70.31.91.214.2460.1380.77.103831500<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>14.2260.0213.2280.130.130.1<NA>250<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
2201610외도천16.07.80.21.30.45.1350.0670.67.601612200<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5.0110.0154.6280.0580.0570.1<NA>110<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA>
3201610천미천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4201611동홍천15.28.70.10.50.82.1090.0810.48.1088800<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1.9250.01.610.080.081.0<NA>300<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5201611옹포천15.08.60.10.91.215.8560.0850.78.004261600<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15.180.013.3720.0780.0770.0<NA>380<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6201611외도천15.09.80.10.70.84.3050.0640.58.00133700<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3.9860.03.3770.0580.0571.6<NA>250<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7201611천미천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8201612동홍천15.08.80.11.62.41.7280.1010.87.30843500000000<NA><NA><NA><NA><NA>1.7270.0461.2670.0970.0952.7<NA>960<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
9201612옹포천15.47.50.11.20.418.0260.160.97.40477200000000<NA><NA><NA><NA><NA>17.8660.015.9890.1520.1510.1<NA>20<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
연도월하천수온(℃)DO(㎎/L)BOD(㎎/L)COD(㎎/L)SS(㎎/L)TN(㎎/L)TP(㎎/L)TOC(㎎/L)수소이온농도페놀류(㎎/L)전기전도도(μS/㎝)총대장균군수(총대장균군수/100ml)카드뮴(㎎/L)시안(㎎/L)납(㎎/L)6가크롬(㎎/L)비소(㎎/L)수은(㎎/L)구리(㎎/L)아연(㎎/L)크롬(㎎/L)니켈(㎎/L)바륨(㎎/L)용존총질소(㎎/L)암모니아성 질소(㎎/L)질산성 질소(㎎/L)용존총인(㎎/L)인산염인(㎎/L)클로로필 a(㎎/㎥)헥사클로로벤젠 (㎍/L)분원성대장균군수불소(㎎/L)색도(㎎/L)노말헥산추출물질(㎎/L)음이온계면활성제(㎎/L)테트라클로로에틸렌(㎎/L)테트라클로로에틸렌(㎎/L).1사염화탄소1.2-디클로로에탄(㎎/L)디클로로메탄(㎎/L)벤젠(㎎/L)폴리크로리네이티트비페닐(㎎/L)유기인(㎎/L)안티몬 (㎎/L)클로로포름 (㎎/L)디에틸헥실프탈레이트 (㎎/L)1.4-다이옥세인 (㎎/L)투명도(m)유량(㎥/s)포름알데히드(㎎/L)
31320234외도천20.39.80.60.94.03.7350.0750.67.507578800<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3.7350.0333.1050.0620.0650.9<NA>64<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31420234천미천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31520235동홍천15.69.70.60.20.42.6650.0840.36.901132100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2.6490.0122.5890.0820.0870.1<NA>230<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31620235옹포천18.610.60.70.70.815.70.1210.68.003802500<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>15.6590.01415.3050.1130.1190.2<NA>190<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31720235외도천19.510.40.60.71.65.6450.0720.67.8022212000<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5.5340.0515.2290.0680.0730.6<NA>100<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31820235천미천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
31920236동홍천16.89.60.50.20.82.6060.1040.47.2011110000000000<NA><NA><NA><NA><NA>2.480.02.3580.0850.0833.4<NA>400<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
32020236옹포천18.39.90.20.71.615.6070.0990.67.603244400000000<NA><NA><NA><NA><NA>15.5710.013.9440.0880.0870.6<NA>210<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
32120236외도천19.39.80.51.03.24.0260.0780.77.4017258600000000<NA><NA><NA><NA><NA>3.9960.0153.6630.0670.070.6<NA>600<NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA>
32220236천미천<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>