Overview

Dataset statistics

Number of variables12
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows11
Duplicate rows (%)0.1%
Total size in memory1.0 MiB
Average record size in memory110.0 B

Variable types

Numeric4
Categorical8

Dataset

Description1시간 수질정보 조회 서비스
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=2784

Alerts

용수구분명 has constant value ""Constant
pH단위 has constant value ""Constant
탁도단위 has constant value ""Constant
잔류단위 has constant value ""Constant
Dataset has 11 (0.1%) duplicate rowsDuplicates
시설코드 is highly overall correlated with 잔류염소 and 4 other fieldsHigh correlation
시설관리번호 is highly overall correlated with 잔류염소 and 4 other fieldsHigh correlation
시설관리명 is highly overall correlated with 잔류염소 and 4 other fieldsHigh correlation
시설주소 is highly overall correlated with 잔류염소 and 4 other fieldsHigh correlation
잔류염소 is highly overall correlated with 시설관리명 and 3 other fieldsHigh correlation
탁도 is highly overall correlated with 시설관리명 and 3 other fieldsHigh correlation

Reproduction

Analysis started2024-03-13 11:49:49.943560
Analysis finished2024-03-13 11:49:53.727926
Duration3.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

발생일시
Real number (ℝ)

Distinct6300
Distinct (%)63.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0229137 × 109
Minimum2.0221006 × 109
Maximum2.0240106 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T20:49:53.827744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0221006 × 109
5-th percentile2.0221031 × 109
Q12.0230129 × 109
median2.0230523 × 109
Q32.0230912 × 109
95-th percentile2.023121 × 109
Maximum2.0240106 × 109
Range1910023
Interquartile range (IQR)78296.75

Descriptive statistics

Standard deviation379044.87
Coefficient of variation (CV)0.0001873757
Kurtosis1.2705977
Mean2.0229137 × 109
Median Absolute Deviation (MAD)39193
Skewness-1.2637048
Sum2.0229137 × 1013
Variance1.4367501 × 1011
MonotonicityNot monotonic
2024-03-13T20:49:54.038826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2022100610 5
 
0.1%
2022100623 5
 
0.1%
2022100612 5
 
0.1%
2023041311 4
 
< 0.1%
2023060814 4
 
< 0.1%
2023082212 4
 
< 0.1%
2023120706 4
 
< 0.1%
2023042716 4
 
< 0.1%
2022122309 4
 
< 0.1%
2023100113 4
 
< 0.1%
Other values (6290) 9957
99.6%
ValueCountFrequency (%)
2022100601 2
 
< 0.1%
2022100603 2
 
< 0.1%
2022100604 1
 
< 0.1%
2022100605 4
< 0.1%
2022100606 3
< 0.1%
2022100607 1
 
< 0.1%
2022100608 3
< 0.1%
2022100609 2
 
< 0.1%
2022100610 5
0.1%
2022100611 3
< 0.1%
ValueCountFrequency (%)
2024010624 2
< 0.1%
2024010623 1
< 0.1%
2024010619 1
< 0.1%
2024010618 2
< 0.1%
2024010617 1
< 0.1%
2024010616 1
< 0.1%
2024010615 1
< 0.1%
2024010614 2
< 0.1%
2024010613 2
< 0.1%
2024010612 2
< 0.1%

시설관리명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
아산정수장
2510 
천안정수장
2510 
공주정수장
2493 
보령정수장
2487 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row보령정수장
2nd row아산정수장
3rd row천안정수장
4th row공주정수장
5th row공주정수장

Common Values

ValueCountFrequency (%)
아산정수장 2510
25.1%
천안정수장 2510
25.1%
공주정수장 2493
24.9%
보령정수장 2487
24.9%

Length

2024-03-13T20:49:54.202245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:54.365796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아산정수장 2510
25.1%
천안정수장 2510
25.1%
공주정수장 2493
24.9%
보령정수장 2487
24.9%

시설관리번호
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
4420012354
2510 
4413112355
2510 
4415012357
2493 
4418012359
2487 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4418012359
2nd row4420012354
3rd row4413112355
4th row4415012357
5th row4415012357

Common Values

ValueCountFrequency (%)
4420012354 2510
25.1%
4413112355 2510
25.1%
4415012357 2493
24.9%
4418012359 2487
24.9%

Length

2024-03-13T20:49:54.557708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:54.730662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4420012354 2510
25.1%
4413112355 2510
25.1%
4415012357 2493
24.9%
4418012359 2487
24.9%

시설주소
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
충남 아산시 영인면
2510 
충남 천안시 동남구
2510 
충남 공주시 유구읍
2493 
층남 보령시 웅천읍
2487 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row층남 보령시 웅천읍
2nd row충남 아산시 영인면
3rd row충남 천안시 동남구
4th row충남 공주시 유구읍
5th row충남 공주시 유구읍

Common Values

ValueCountFrequency (%)
충남 아산시 영인면 2510
25.1%
충남 천안시 동남구 2510
25.1%
충남 공주시 유구읍 2493
24.9%
층남 보령시 웅천읍 2487
24.9%

Length

2024-03-13T20:49:54.905300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:55.062561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충남 7513
25.0%
아산시 2510
 
8.4%
영인면 2510
 
8.4%
천안시 2510
 
8.4%
동남구 2510
 
8.4%
공주시 2493
 
8.3%
유구읍 2493
 
8.3%
층남 2487
 
8.3%
보령시 2487
 
8.3%
웅천읍 2487
 
8.3%

용수구분명
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
생활정수 10000
100.0%

Length

2024-03-13T20:49:55.194449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:55.310980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
생활정수 10000
100.0%

잔류염소
Real number (ℝ)

HIGH CORRELATION 

Distinct3911
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.81984899
Minimum0
Maximum1.4299
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T20:49:55.453905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q10.7102
median0.752
Q30.907575
95-th percentile1.170305
Maximum1.4299
Range1.4299
Interquartile range (IQR)0.197375

Descriptive statistics

Standard deviation0.16818859
Coefficient of variation (CV)0.20514582
Kurtosis0.10135033
Mean0.81984899
Median Absolute Deviation (MAD)0.0551
Skewness0.98430974
Sum8198.4899
Variance0.028287403
MonotonicityNot monotonic
2024-03-13T20:49:55.641751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7769 27
 
0.3%
0.6835 25
 
0.2%
0.9739 21
 
0.2%
0.7007 15
 
0.1%
0.6952 15
 
0.1%
0.7275 14
 
0.1%
0.7314 14
 
0.1%
0.7313 14
 
0.1%
0.7521 13
 
0.1%
0.697 13
 
0.1%
Other values (3901) 9829
98.3%
ValueCountFrequency (%)
0.0 4
< 0.1%
0.1763 1
 
< 0.1%
0.2019 1
 
< 0.1%
0.2026 1
 
< 0.1%
0.3211 1
 
< 0.1%
0.3345 1
 
< 0.1%
0.375 1
 
< 0.1%
0.3997 1
 
< 0.1%
0.4262 1
 
< 0.1%
0.4572 1
 
< 0.1%
ValueCountFrequency (%)
1.4299 1
< 0.1%
1.325 1
< 0.1%
1.2909 1
< 0.1%
1.2849 1
< 0.1%
1.2788 1
< 0.1%
1.2772 1
< 0.1%
1.2602 1
< 0.1%
1.2565 1
< 0.1%
1.2486 1
< 0.1%
1.2459 1
< 0.1%

pH
Real number (ℝ)

Distinct6077
Distinct (%)60.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2543951
Minimum1.4025
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T20:49:55.799150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.4025
5-th percentile6.770535
Q17.071075
median7.277
Q37.4545
95-th percentile7.6575
Maximum8
Range6.5975
Interquartile range (IQR)0.383425

Descriptive statistics

Standard deviation0.28242166
Coefficient of variation (CV)0.038931111
Kurtosis18.262613
Mean7.2543951
Median Absolute Deviation (MAD)0.18785
Skewness-1.2344906
Sum72543.951
Variance0.079761995
MonotonicityNot monotonic
2024-03-13T20:49:55.965556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0534 24
 
0.2%
7.8531 21
 
0.2%
7.4104 11
 
0.1%
7.0648 11
 
0.1%
7.0919 10
 
0.1%
7.2109 10
 
0.1%
7.4775 9
 
0.1%
7.0993 9
 
0.1%
7.4051 8
 
0.1%
7.2686 8
 
0.1%
Other values (6067) 9879
98.8%
ValueCountFrequency (%)
1.4025 1
< 0.1%
6.0037 1
< 0.1%
6.3115 1
< 0.1%
6.3116 1
< 0.1%
6.326 1
< 0.1%
6.3274 1
< 0.1%
6.328 1
< 0.1%
6.3391 1
< 0.1%
6.3462 1
< 0.1%
6.3475 1
< 0.1%
ValueCountFrequency (%)
8.0 2
< 0.1%
7.8834 1
< 0.1%
7.8829 1
< 0.1%
7.8817 1
< 0.1%
7.8799 1
< 0.1%
7.8775 1
< 0.1%
7.8762 1
< 0.1%
7.8753 1
< 0.1%
7.8752 2
< 0.1%
7.8746 1
< 0.1%

탁도
Real number (ℝ)

HIGH CORRELATION 

Distinct735
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.06338231
Minimum0
Maximum0.4335
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T20:49:56.448492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.0312
Q10.0521
median0.0668
Q30.0764
95-th percentile0.0943
Maximum0.4335
Range0.4335
Interquartile range (IQR)0.0243

Descriptive statistics

Standard deviation0.020722375
Coefficient of variation (CV)0.32694257
Kurtosis12.205402
Mean0.06338231
Median Absolute Deviation (MAD)0.011
Skewness0.58848671
Sum633.8231
Variance0.00042941683
MonotonicityNot monotonic
2024-03-13T20:49:56.638499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0334 72
 
0.7%
0.0661 60
 
0.6%
0.0706 59
 
0.6%
0.0338 57
 
0.6%
0.0343 55
 
0.5%
0.0339 53
 
0.5%
0.0336 51
 
0.5%
0.0337 48
 
0.5%
0.0332 48
 
0.5%
0.0324 48
 
0.5%
Other values (725) 9449
94.5%
ValueCountFrequency (%)
0.0 3
< 0.1%
0.0163 1
 
< 0.1%
0.0216 1
 
< 0.1%
0.024 1
 
< 0.1%
0.0244 1
 
< 0.1%
0.0245 1
 
< 0.1%
0.0248 1
 
< 0.1%
0.0249 3
< 0.1%
0.025 3
< 0.1%
0.0251 1
 
< 0.1%
ValueCountFrequency (%)
0.4335 1
< 0.1%
0.308 1
< 0.1%
0.2368 1
< 0.1%
0.2168 1
< 0.1%
0.1983 1
< 0.1%
0.18 1
< 0.1%
0.1471 1
< 0.1%
0.1443 1
< 0.1%
0.1364 1
< 0.1%
0.1296 1
< 0.1%

pH단위
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
pH 10000
100.0%

Length

2024-03-13T20:49:56.817362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:56.937390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ph 10000
100.0%

탁도단위
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
NTU 10000
100.0%

Length

2024-03-13T20:49:57.067542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:57.166854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ntu 10000
100.0%

잔류단위
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowmg/L
2nd rowmg/L
3rd rowmg/L
4th rowmg/L
5th rowmg/L

Common Values

ValueCountFrequency (%)
mg/L 10000
100.0%

Length

2024-03-13T20:49:57.270334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:57.361704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
mg/l 10000
100.0%

시설코드
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
354
2510 
355
2510 
357
2493 
359
2487 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row359
2nd row354
3rd row355
4th row357
5th row357

Common Values

ValueCountFrequency (%)
354 2510
25.1%
355 2510
25.1%
357 2493
24.9%
359 2487
24.9%

Length

2024-03-13T20:49:57.471458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:49:57.576937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
354 2510
25.1%
355 2510
25.1%
357 2493
24.9%
359 2487
24.9%

Interactions

2024-03-13T20:49:52.849897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.120522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.686008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:52.290343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:52.977165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.272988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.845936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:52.469713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:53.120087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.418252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.986085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:52.613618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:53.221317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:51.537674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:52.142783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:49:52.728732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:49:57.658946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생일시시설관리명시설관리번호시설주소잔류염소pH탁도시설코드
발생일시1.0000.0000.0000.0000.1820.2480.1830.000
시설관리명0.0001.0001.0001.0000.7950.3830.8951.000
시설관리번호0.0001.0001.0001.0000.7950.3830.8951.000
시설주소0.0001.0001.0001.0000.7950.3830.8951.000
잔류염소0.1820.7950.7950.7951.0000.7040.4210.795
pH0.2480.3830.3830.3830.7041.0000.2680.383
탁도0.1830.8950.8950.8950.4210.2681.0000.895
시설코드0.0001.0001.0001.0000.7950.3830.8951.000
2024-03-13T20:49:57.780193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설코드시설관리번호시설관리명시설주소
시설코드1.0001.0001.0001.000
시설관리번호1.0001.0001.0001.000
시설관리명1.0001.0001.0001.000
시설주소1.0001.0001.0001.000
2024-03-13T20:49:57.885594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발생일시잔류염소pH탁도시설관리명시설관리번호시설주소시설코드
발생일시1.0000.033-0.1510.0430.0000.0000.0000.000
잔류염소0.0331.000-0.3860.3490.6170.6170.6170.617
pH-0.151-0.3861.000-0.2810.3210.3210.3210.321
탁도0.0430.349-0.2811.0000.5920.5920.5920.592
시설관리명0.0000.6170.3210.5921.0001.0001.0001.000
시설관리번호0.0000.6170.3210.5921.0001.0001.0001.000
시설주소0.0000.6170.3210.5921.0001.0001.0001.000
시설코드0.0000.6170.3210.5921.0001.0001.0001.000

Missing values

2024-03-13T20:49:53.381473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:49:53.584696image/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

발생일시시설관리명시설관리번호시설주소용수구분명잔류염소pH탁도pH단위탁도단위잔류단위시설코드
275992023102501보령정수장4418012359층남 보령시 웅천읍생활정수1.12036.54230.0809pHNTUmg/L359
45562022121807아산정수장4420012354충남 아산시 영인면생활정수0.75217.35250.0655pHNTUmg/L354
257332023093018천안정수장4413112355충남 천안시 동남구생활정수0.71796.95490.0752pHNTUmg/L355
166422023052822공주정수장4415012357충남 공주시 유구읍생활정수0.69567.45870.0333pHNTUmg/L357
187162023062218공주정수장4415012357충남 공주시 유구읍생활정수0.77897.37450.0327pHNTUmg/L357
176162023060819아산정수장4420012354충남 아산시 영인면생활정수0.83917.57150.0651pHNTUmg/L354
255172023092701보령정수장4418012359층남 보령시 웅천읍생활정수1.00426.60890.0764pHNTUmg/L359
215272023072604보령정수장4418012359층남 보령시 웅천읍생활정수1.1646.51940.0985pHNTUmg/L359
277192023102801아산정수장4420012354충남 아산시 영인면생활정수0.71677.36330.096pHNTUmg/L354
306622023120508보령정수장4418012359층남 보령시 웅천읍생활정수0.99687.27730.067pHNTUmg/L359
발생일시시설관리명시설관리번호시설주소용수구분명잔류염소pH탁도pH단위탁도단위잔류단위시설코드
256612023092920공주정수장4415012357충남 공주시 유구읍생활정수0.58046.97360.029pHNTUmg/L357
37982022121021천안정수장4413112355충남 천안시 동남구생활정수0.72827.28540.1028pHNTUmg/L355
200932023071103보령정수장4418012359층남 보령시 웅천읍생활정수1.14947.02060.0711pHNTUmg/L359
163862023052520공주정수장4415012357충남 공주시 유구읍생활정수0.72327.42830.0337pHNTUmg/L357
91332023021614보령정수장4418012359층남 보령시 웅천읍생활정수1.10377.15530.064pHNTUmg/L359
68812023011707천안정수장4413112355충남 천안시 동남구생활정수0.73647.15920.094pHNTUmg/L355
9802022101901공주정수장4415012357충남 공주시 유구읍생활정수0.76827.4390.0338pHNTUmg/L357
314722023121514천안정수장4413112355충남 천안시 동남구생활정수0.83747.47570.0692pHNTUmg/L355
274192023102413아산정수장4420012354충남 아산시 영인면생활정수0.74997.25270.0841pHNTUmg/L354
320702023122116공주정수장4415012357충남 공주시 유구읍생활정수0.69437.47080.0394pHNTUmg/L357

Duplicate rows

Most frequently occurring

발생일시시설관리명시설관리번호시설주소용수구분명잔류염소pH탁도pH단위탁도단위잔류단위시설코드# duplicates
02022100605공주정수장4415012357충남 공주시 유구읍생활정수0.7517.30630.0317pHNTUmg/L3572
12022100606보령정수장4418012359층남 보령시 웅천읍생활정수1.15047.11880.0629pHNTUmg/L3592
22022100608아산정수장4420012354충남 아산시 영인면생활정수0.76317.09650.073pHNTUmg/L3542
32022100609보령정수장4418012359층남 보령시 웅천읍생활정수1.14977.19110.062pHNTUmg/L3592
42022100610공주정수장4415012357충남 공주시 유구읍생활정수0.73827.30940.0322pHNTUmg/L3572
52022100612아산정수장4420012354충남 아산시 영인면생활정수0.76437.10660.0691pHNTUmg/L3542
62022100612천안정수장4413112355충남 천안시 동남구생활정수0.73726.77930.0887pHNTUmg/L3552
72022100613아산정수장4420012354충남 아산시 영인면생활정수0.73257.1060.067pHNTUmg/L3542
82022100614천안정수장4413112355충남 천안시 동남구생활정수0.75216.76910.0888pHNTUmg/L3552
92022100623보령정수장4418012359층남 보령시 웅천읍생활정수1.16517.1490.0609pHNTUmg/L3592