Overview

Dataset statistics

Number of variables13
Number of observations141
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.4 KiB
Average record size in memory111.9 B

Variable types

Numeric6
Categorical7

Dataset

Description수도법에 따라 반기마다 소규모수도시설에서 해수를 원수로 사용하는 원수 수질 검사 결과 데이터로, 수질검사결과, 수질검사기관 등을 포함 * 상세자료조회는 아래 URL을 참고 해주시기 바랍니다. https://waternow.go.kr/web/lawData7/?pMENUID=150&ATTR_1=3206
URLhttps://www.data.go.kr/data/15093999/fileData.do

Alerts

수원(WATSRC) has constant value ""Constant
수도규모(RTS_SCALE) is highly overall correlated with 소규모수도시설명(SMSCL_RTS_FCLTY_NM) and 1 other fieldsHigh correlation
측정지점주소(MESURE_BHF_ADDR) is highly overall correlated with 지역(AREA) and 2 other fieldsHigh correlation
소규모수도시설명(SMSCL_RTS_FCLTY_NM) is highly overall correlated with 지역(AREA) and 2 other fieldsHigh correlation
지역(AREA) is highly overall correlated with 연번(NO) and 3 other fieldsHigh correlation
연번(NO) is highly overall correlated with 검사년도(INSPCT_YEAR) and 2 other fieldsHigh correlation
검사년도(INSPCT_YEAR) is highly overall correlated with 연번(NO) and 1 other fieldsHigh correlation
대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO) is highly overall correlated with 노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)High correlation
검사반기(INSPCT_HT) is highly overall correlated with 연번(NO)High correlation
노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY) is highly overall correlated with 대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)High correlation
노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY) is highly imbalanced (92.3%)Imbalance
연번(NO) has unique valuesUnique
총대장균군(TOT_CLBCLS_GUN_CO) has 54 (38.3%) zerosZeros
대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO) has 102 (72.3%) zerosZeros

Reproduction

Analysis started2023-12-12 00:21:54.856513
Analysis finished2023-12-12 00:21:59.116231
Duration4.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번(NO)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct141
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71
Minimum1
Maximum141
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T09:21:59.201196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8
Q136
median71
Q3106
95-th percentile134
Maximum141
Range140
Interquartile range (IQR)70

Descriptive statistics

Standard deviation40.847277
Coefficient of variation (CV)0.57531375
Kurtosis-1.2
Mean71
Median Absolute Deviation (MAD)35
Skewness0
Sum10011
Variance1668.5
MonotonicityStrictly increasing
2023-12-12T09:21:59.368540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (131) 131
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%

검사년도(INSPCT_YEAR)
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.0213
Minimum2015
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T09:21:59.526014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12018
median2020
Q32021
95-th percentile2021
Maximum2022
Range7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0440439
Coefficient of variation (CV)0.0010123934
Kurtosis-0.40057553
Mean2019.0213
Median Absolute Deviation (MAD)1
Skewness-0.75706795
Sum284682
Variance4.1781155
MonotonicityIncreasing
2023-12-12T09:21:59.642088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
2021 34
24.1%
2020 33
23.4%
2018 28
19.9%
2015 19
13.5%
2019 16
11.3%
2022 6
 
4.3%
2017 3
 
2.1%
2016 2
 
1.4%
ValueCountFrequency (%)
2015 19
13.5%
2016 2
 
1.4%
2017 3
 
2.1%
2018 28
19.9%
2019 16
11.3%
2020 33
23.4%
2021 34
24.1%
2022 6
 
4.3%
ValueCountFrequency (%)
2022 6
 
4.3%
2021 34
24.1%
2020 33
23.4%
2019 16
11.3%
2018 28
19.9%
2017 3
 
2.1%
2016 2
 
1.4%
2015 19
13.5%

검사반기(INSPCT_HT)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
상반기
79 
하반기
62 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
상반기 79
56.0%
하반기 62
44.0%

Length

2023-12-12T09:21:59.790688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:21:59.957767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상반기 79
56.0%
하반기 62
44.0%

지역(AREA)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
전라남도 완도군
95 
인천광역시
27 
전라남도 신안군
18 
제주특별자치도
 
1

Length

Max length8
Median length8
Mean length7.4184397
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row인천광역시
2nd row전라남도 신안군
3rd row전라남도 신안군
4th row전라남도 신안군
5th row전라남도 신안군

Common Values

ValueCountFrequency (%)
전라남도 완도군 95
67.4%
인천광역시 27
 
19.1%
전라남도 신안군 18
 
12.8%
제주특별자치도 1
 
0.7%

Length

2023-12-12T09:22:00.087266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:00.222502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 113
44.5%
완도군 95
37.4%
인천광역시 27
 
10.6%
신안군 18
 
7.1%
제주특별자치도 1
 
0.4%

소규모수도시설명(SMSCL_RTS_FCLTY_NM)
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
떼무리
14 
넙도
 
7
당산
 
7
흑일
 
7
황제도
 
7
Other values (23)
99 

Length

Max length5
Median length3
Mean length2.7659574
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row떼무리
2nd row고이도
3rd row다물
4th row마진도
5th row만재

Common Values

ValueCountFrequency (%)
떼무리 14
 
9.9%
넙도 7
 
5.0%
당산 7
 
5.0%
흑일 7
 
5.0%
황제도 7
 
5.0%
어룡도 7
 
5.0%
서화도 7
 
5.0%
서넙도 7
 
5.0%
사후도 7
 
5.0%
백일도 7
 
5.0%
Other values (18) 64
45.4%

Length

2023-12-12T09:22:00.366914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
떼무리 14
 
9.9%
넙도 7
 
5.0%
당산 7
 
5.0%
흑일 7
 
5.0%
황제도 7
 
5.0%
어룡도 7
 
5.0%
서화도 7
 
5.0%
서넙도 7
 
5.0%
사후도 7
 
5.0%
백일도 7
 
5.0%
Other values (18) 64
45.4%

측정지점주소(MESURE_BHF_ADDR)
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
인천광역시 중구 용유동 무의12통
12 
전라남도 완도군 금일읍 사동리 337
 
7
인천광역시 옹진군 대청면 소청리 산 147
 
7
전라남도 완도군 군외면 당인리 669
 
7
전라남도 완도군 금일읍 동백리 산 192
 
7
Other values (24)
101 

Length

Max length24
Median length23
Mean length20.014184
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row인천광역시 중구 용유동 무의12통
2nd row전라남도 신안군 압해면 고이도
3rd row전라남도 신안군 흑산면 다물도리
4th row전라남도 신안군 장산면 마진도
5th row전라남도 신안군 흑산면 만재도리

Common Values

ValueCountFrequency (%)
인천광역시 중구 용유동 무의12통 12
 
8.5%
전라남도 완도군 금일읍 사동리 337 7
 
5.0%
인천광역시 옹진군 대청면 소청리 산 147 7
 
5.0%
전라남도 완도군 군외면 당인리 669 7
 
5.0%
전라남도 완도군 금일읍 동백리 산 192 7
 
5.0%
전라남도 완도군 노화읍 내리 산 374 7
 
5.0%
전라남도 완도군 군외면 당인리 산 127 7
 
5.0%
전라남도 완도군 노화읍 방서리 456 7
 
5.0%
전라남도 완도군 군외면 영풍리 782-1 7
 
5.0%
전라남도 완도군 군외면 당인리 506 7
 
5.0%
Other values (19) 66
46.8%

Length

2023-12-12T09:22:00.516670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라남도 110
 
15.5%
완도군 92
 
12.9%
산 46
 
6.5%
군외면 35
 
4.9%
인천광역시 27
 
3.8%
노화읍 25
 
3.5%
당인리 21
 
3.0%
신안군 18
 
2.5%
내리 14
 
2.0%
중구 14
 
2.0%
Other values (60) 309
43.5%

수도규모(RTS_SCALE)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
소규모급수시설
81 
마을상수도
60 

Length

Max length7
Median length7
Mean length6.1489362
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row소규모급수시설
2nd row마을상수도
3rd row마을상수도
4th row마을상수도
5th row마을상수도

Common Values

ValueCountFrequency (%)
소규모급수시설 81
57.4%
마을상수도 60
42.6%

Length

2023-12-12T09:22:00.958271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:01.094033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
소규모급수시설 81
57.4%
마을상수도 60
42.6%

수원(WATSRC)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
해수
141 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해수 141
100.0%

Length

2023-12-12T09:22:01.238635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:01.362324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해수 141
100.0%

수소이온농도(PH)
Real number (ℝ)

Distinct21
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3965957
Minimum6.3
Maximum8.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T09:22:01.492429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile6.5
Q17
median7.5
Q37.8
95-th percentile8
Maximum8.6
Range2.3
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation0.50757664
Coefficient of variation (CV)0.068623006
Kurtosis-1.0761945
Mean7.3965957
Median Absolute Deviation (MAD)0.4
Skewness-0.24728666
Sum1042.92
Variance0.25763404
MonotonicityNot monotonic
2023-12-12T09:22:01.658990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.9 17
12.1%
7.8 17
12.1%
8.0 11
 
7.8%
7.7 11
 
7.8%
7.3 10
 
7.1%
7.1 10
 
7.1%
6.7 8
 
5.7%
6.5 7
 
5.0%
7.0 7
 
5.0%
6.9 7
 
5.0%
Other values (11) 36
25.5%
ValueCountFrequency (%)
6.3 1
 
0.7%
6.5 7
5.0%
6.6 4
 
2.8%
6.7 8
5.7%
6.8 7
5.0%
6.9 7
5.0%
7.0 7
5.0%
7.1 10
7.1%
7.2 5
3.5%
7.3 10
7.1%
ValueCountFrequency (%)
8.6 1
 
0.7%
8.3 1
 
0.7%
8.1 3
 
2.1%
8.0 11
7.8%
7.92 1
 
0.7%
7.9 17
12.1%
7.8 17
12.1%
7.7 11
7.8%
7.6 4
 
2.8%
7.5 5
 
3.5%

화학적 산소요구량(COD)
Real number (ℝ)

Distinct51
Distinct (%)36.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6021277
Minimum0
Maximum8.4
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T09:22:01.858456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q11.2
median2
Q33.3
95-th percentile7.2
Maximum8.4
Range8.4
Interquartile range (IQR)2.1

Descriptive statistics

Standard deviation2.0529932
Coefficient of variation (CV)0.78896714
Kurtosis0.65859348
Mean2.6021277
Median Absolute Deviation (MAD)0.9
Skewness1.251637
Sum366.9
Variance4.2147812
MonotonicityNot monotonic
2023-12-12T09:22:02.006898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.2 11
 
7.8%
1.6 10
 
7.1%
2.0 9
 
6.4%
0.8 8
 
5.7%
1.8 6
 
4.3%
0.5 6
 
4.3%
4.4 6
 
4.3%
0.7 5
 
3.5%
2.4 5
 
3.5%
2.8 4
 
2.8%
Other values (41) 71
50.4%
ValueCountFrequency (%)
0.0 1
 
0.7%
0.3 1
 
0.7%
0.4 4
2.8%
0.5 6
4.3%
0.6 1
 
0.7%
0.7 5
3.5%
0.8 8
5.7%
0.9 2
 
1.4%
1.0 1
 
0.7%
1.1 3
 
2.1%
ValueCountFrequency (%)
8.4 1
 
0.7%
8.0 2
1.4%
7.6 3
2.1%
7.4 1
 
0.7%
7.2 2
1.4%
7.0 1
 
0.7%
6.8 1
 
0.7%
6.6 1
 
0.7%
6.4 3
2.1%
6.2 1
 
0.7%

총대장균군(TOT_CLBCLS_GUN_CO)
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.539007
Minimum0
Maximum1600
Zeros54
Zeros (%)38.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T09:22:02.128027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312
95-th percentile110
Maximum1600
Range1600
Interquartile range (IQR)12

Descriptive statistics

Standard deviation156.75347
Coefficient of variation (CV)4.673766
Kurtosis75.902544
Mean33.539007
Median Absolute Deviation (MAD)2
Skewness8.2466305
Sum4729
Variance24571.65
MonotonicityNot monotonic
2023-12-12T09:22:02.244259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 54
38.3%
2 23
16.3%
8 9
 
6.4%
5 8
 
5.7%
33 6
 
4.3%
23 6
 
4.3%
11 4
 
2.8%
17 4
 
2.8%
13 3
 
2.1%
49 2
 
1.4%
Other values (20) 22
15.6%
ValueCountFrequency (%)
0 54
38.3%
1 2
 
1.4%
2 23
16.3%
3 2
 
1.4%
4 1
 
0.7%
5 8
 
5.7%
6 1
 
0.7%
7 1
 
0.7%
8 9
 
6.4%
11 4
 
2.8%
ValueCountFrequency (%)
1600 1
0.7%
790 1
0.7%
490 1
0.7%
250 1
0.7%
170 1
0.7%
136 1
0.7%
130 1
0.7%
110 1
0.7%
100 1
0.7%
69 1
0.7%

대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9858156
Minimum0
Maximum370
Zeros102
Zeros (%)72.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T09:22:02.343865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum370
Range370
Interquartile range (IQR)2

Descriptive statistics

Standard deviation31.415189
Coefficient of variation (CV)7.8817466
Kurtosis134.33206
Mean3.9858156
Median Absolute Deviation (MAD)0
Skewness11.475214
Sum562
Variance986.91408
MonotonicityNot monotonic
2023-12-12T09:22:02.436130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 102
72.3%
2 27
 
19.1%
5 2
 
1.4%
4 2
 
1.4%
8 2
 
1.4%
40 1
 
0.7%
33 1
 
0.7%
10 1
 
0.7%
20 1
 
0.7%
1 1
 
0.7%
ValueCountFrequency (%)
0 102
72.3%
1 1
 
0.7%
2 27
 
19.1%
4 2
 
1.4%
5 2
 
1.4%
8 2
 
1.4%
10 1
 
0.7%
20 1
 
0.7%
33 1
 
0.7%
40 1
 
0.7%
ValueCountFrequency (%)
370 1
 
0.7%
40 1
 
0.7%
33 1
 
0.7%
20 1
 
0.7%
10 1
 
0.7%
8 2
 
1.4%
5 2
 
1.4%
4 2
 
1.4%
2 27
19.1%
1 1
 
0.7%

노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
0.0
139 
1.2
 
1
8.0
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.4%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 139
98.6%
1.2 1
 
0.7%
8.0 1
 
0.7%

Length

2023-12-12T09:22:02.546382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:22:02.640645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 139
98.6%
1.2 1
 
0.7%
8.0 1
 
0.7%

Interactions

2023-12-12T09:21:58.163413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.431838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.963027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.490284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.046121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.571926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:58.258366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.513127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.051914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.581655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.127233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.674719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:58.353292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.606930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.133876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.659575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.204011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.794833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:58.438911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.689024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.227394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.727955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.276805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.878757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:58.545300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.764282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.305709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.813968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.380237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.958990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:58.659728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:55.861099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.397440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:56.930851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:57.472298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:58.051557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:22:02.707278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(NO)검사년도(INSPCT_YEAR)검사반기(INSPCT_HT)지역(AREA)소규모수도시설명(SMSCL_RTS_FCLTY_NM)측정지점주소(MESURE_BHF_ADDR)수도규모(RTS_SCALE)수소이온농도(PH)화학적 산소요구량(COD)총대장균군(TOT_CLBCLS_GUN_CO)대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)
연번(NO)1.0000.8680.7530.7010.0000.0000.3430.7320.6430.0000.0530.053
검사년도(INSPCT_YEAR)0.8681.0000.2530.6380.0620.2270.0000.7000.4640.0000.0000.000
검사반기(INSPCT_HT)0.7530.2531.0000.0000.0000.0000.0000.0000.3050.1130.0120.012
지역(AREA)0.7010.6380.0001.0001.0001.0000.6610.6270.2140.1250.1020.102
소규모수도시설명(SMSCL_RTS_FCLTY_NM)0.0000.0620.0001.0001.0001.0001.0000.6820.3930.5390.0000.000
측정지점주소(MESURE_BHF_ADDR)0.0000.2270.0001.0001.0001.0001.0000.6770.3470.5290.0000.626
수도규모(RTS_SCALE)0.3430.0000.0000.6611.0001.0001.0000.0000.2530.0000.0150.015
수소이온농도(PH)0.7320.7000.0000.6270.6820.6770.0001.0000.4800.0000.0000.000
화학적 산소요구량(COD)0.6430.4640.3050.2140.3930.3470.2530.4801.0000.0000.0000.000
총대장균군(TOT_CLBCLS_GUN_CO)0.0000.0000.1130.1250.5390.5290.0000.0000.0001.0000.0000.000
대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)0.0530.0000.0120.1020.0000.0000.0150.0000.0000.0001.0000.941
노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)0.0530.0000.0120.1020.0000.6260.0150.0000.0000.0000.9411.000
2023-12-12T09:22:02.850409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
검사반기(INSPCT_HT)수도규모(RTS_SCALE)노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)측정지점주소(MESURE_BHF_ADDR)소규모수도시설명(SMSCL_RTS_FCLTY_NM)지역(AREA)
검사반기(INSPCT_HT)1.0000.0000.0180.0000.0000.000
수도규모(RTS_SCALE)0.0001.0000.0230.8980.9020.460
노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)0.0180.0231.0000.3610.0000.095
측정지점주소(MESURE_BHF_ADDR)0.0000.8980.3611.0000.9960.904
소규모수도시설명(SMSCL_RTS_FCLTY_NM)0.0000.9020.0000.9961.0000.908
지역(AREA)0.0000.4600.0950.9040.9081.000
2023-12-12T09:22:02.961300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번(NO)검사년도(INSPCT_YEAR)수소이온농도(PH)화학적 산소요구량(COD)총대장균군(TOT_CLBCLS_GUN_CO)대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)검사반기(INSPCT_HT)지역(AREA)소규모수도시설명(SMSCL_RTS_FCLTY_NM)측정지점주소(MESURE_BHF_ADDR)수도규모(RTS_SCALE)노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)
연번(NO)1.0000.9800.1740.0270.139-0.0700.5890.5040.0000.0000.2680.022
검사년도(INSPCT_YEAR)0.9801.0000.2230.0230.091-0.0590.2320.6980.2650.2750.3910.000
수소이온농도(PH)0.1740.2231.000-0.0600.048-0.0670.0000.4190.2960.2870.0000.000
화학적 산소요구량(COD)0.0270.023-0.0601.000-0.151-0.1680.2260.1240.1360.1140.1870.000
총대장균군(TOT_CLBCLS_GUN_CO)0.1390.0910.048-0.1511.0000.3380.1360.1010.2650.2540.0000.000
대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)-0.070-0.059-0.067-0.1680.3381.0000.0180.0950.0000.0000.0230.702
검사반기(INSPCT_HT)0.5890.2320.0000.2260.1360.0181.0000.0000.0000.0000.0000.018
지역(AREA)0.5040.6980.4190.1240.1010.0950.0001.0000.9080.9040.4600.095
소규모수도시설명(SMSCL_RTS_FCLTY_NM)0.0000.2650.2960.1360.2650.0000.0000.9081.0000.9960.9020.000
측정지점주소(MESURE_BHF_ADDR)0.0000.2750.2870.1140.2540.0000.0000.9040.9961.0000.8980.361
수도규모(RTS_SCALE)0.2680.3910.0000.1870.0000.0230.0000.4600.9020.8981.0000.023
노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)0.0220.0000.0000.0000.0000.7020.0180.0950.0000.3610.0231.000

Missing values

2023-12-12T09:21:58.815463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:21:59.002377image/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

연번(NO)검사년도(INSPCT_YEAR)검사반기(INSPCT_HT)지역(AREA)소규모수도시설명(SMSCL_RTS_FCLTY_NM)측정지점주소(MESURE_BHF_ADDR)수도규모(RTS_SCALE)수원(WATSRC)수소이온농도(PH)화학적 산소요구량(COD)총대장균군(TOT_CLBCLS_GUN_CO)대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)
012015상반기인천광역시떼무리인천광역시 중구 용유동 무의12통소규모급수시설해수8.12.869400.0
122015상반기전라남도 신안군고이도전라남도 신안군 압해면 고이도마을상수도해수7.11.2000.0
232015상반기전라남도 신안군다물전라남도 신안군 흑산면 다물도리마을상수도해수6.72.6000.0
342015상반기전라남도 신안군마진도전라남도 신안군 장산면 마진도마을상수도해수6.57.6000.0
452015상반기전라남도 신안군만재전라남도 신안군 흑산면 만재도리마을상수도해수6.72.7000.0
562015상반기전라남도 신안군상태전라남도 신안군 흑산면 상태도리마을상수도해수6.72.5200.0
672015상반기전라남도 신안군서소우이도전라남도 신안군 도초면 우이도리마을상수도해수7.923.2200.0
782015상반기전라남도 신안군옥도전라남도 신안군 하의면 옥도리마을상수도해수7.21.5850.0
892015상반기전라남도 신안군자라전라남도 신안군 안좌면 자라마을상수도해수7.01.7000.0
9102015상반기전라남도 신안군하태전라남도 신안군 흑산면 태도리 하태도마을상수도해수6.72.6000.0
연번(NO)검사년도(INSPCT_YEAR)검사반기(INSPCT_HT)지역(AREA)소규모수도시설명(SMSCL_RTS_FCLTY_NM)측정지점주소(MESURE_BHF_ADDR)수도규모(RTS_SCALE)수원(WATSRC)수소이온농도(PH)화학적 산소요구량(COD)총대장균군(TOT_CLBCLS_GUN_CO)대장균_분원성대장균군(CLBCLS_FCOLI_CLBCLS_CO)노말헥산추출물질(동물성유지류)함유량(NHEXAN_EXTRC_MTTR_CNTN_QY)
1311322021하반기전라남도 완도군서화도전라남도 완도군 군외면 당인리 산 127소규모급수시설해수7.03.4200.0
1321332021하반기전라남도 완도군어룡도전라남도 완도군 노화읍 내리 산 374소규모급수시설해수7.22.33300.0
1331342021하반기전라남도 완도군황제도전라남도 완도군 금일읍 동백리 산 192소규모급수시설해수7.11.7200.0
1341352021하반기전라남도 완도군흑일전라남도 완도군 군외면 당인리 669소규모급수시설해수6.82.1500.0
1351362022상반기인천광역시당산인천광역시 옹진군 대청면 소청리 산 147마을상수도해수7.91.8000.0
1361372022상반기인천광역시동네기미인천광역시 옹진군 연평면 연평리 1160마을상수도해수8.01.7000.0
1371382022상반기인천광역시떼무리인천광역시 중구 용유동 무의12통소규모급수시설해수8.01.5600.0
1381392022하반기인천광역시당산인천광역시 옹진군 대청면 소청리 산 147마을상수도해수7.92.03900.0
1391402022하반기인천광역시동네기미인천광역시 옹진군 연평면 연평리 1160마을상수도해수6.80.5000.0
1401412022하반기인천광역시떼무리인천광역시 중구 용유동 무의12통소규모급수시설해수8.02.0200.0