Overview

Dataset statistics

Number of variables16
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.8 KiB
Average record size in memory141.3 B

Variable types

Categorical13
Numeric3

Alerts

자료기준년도 has constant value ""Constant
경도도 has constant value ""Constant
위도도 has constant value ""Constant
수질검사항목영문 has constant value ""Constant
위도분 is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
법정동코드 is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
취수계획량(m3/d) is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
수질검사기관명 is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
경도분 is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
영향조사보고서번호 is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
수질검사일자 is highly overall correlated with 영향조사번호 and 8 other fieldsHigh correlation
영향조사번호 is highly overall correlated with 법정동코드 and 6 other fieldsHigh correlation
경도초 is highly overall correlated with 위도초 and 7 other fieldsHigh correlation
위도초 is highly overall correlated with 경도초 and 7 other fieldsHigh correlation
결과값 is highly imbalanced (59.1%)Imbalance

Reproduction

Analysis started2023-12-10 10:49:58.549051
Analysis finished2023-12-10 10:50:03.622001
Duration5.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

자료기준년도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2020
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020
2nd row2020
3rd row2020
4th row2020
5th row2020

Common Values

ValueCountFrequency (%)
2020 100
100.0%

Length

2023-12-10T19:50:03.740814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:03.895367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 100
100.0%

영향조사번호
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22764.33
Minimum22762
Maximum22767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:50:04.036006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22762
5-th percentile22762
Q122763
median22764.5
Q322766
95-th percentile22766
Maximum22767
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6021135
Coefficient of variation (CV)7.0378241 × 10-5
Kurtosis-1.3974091
Mean22764.33
Median Absolute Deviation (MAD)1.5
Skewness-0.19591058
Sum2276433
Variance2.5667677
MonotonicityNot monotonic
2023-12-10T19:50:04.218304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
22766 32
32.0%
22762 20
20.0%
22763 15
15.0%
22764 15
15.0%
22765 15
15.0%
22767 3
 
3.0%
ValueCountFrequency (%)
22762 20
20.0%
22763 15
15.0%
22764 15
15.0%
22765 15
15.0%
22766 32
32.0%
22767 3
 
3.0%
ValueCountFrequency (%)
22767 3
 
3.0%
22766 32
32.0%
22765 15
15.0%
22764 15
15.0%
22763 15
15.0%
22762 20
20.0%

법정동코드
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
4421031027
32 
4421038039
30 
4421025028
20 
4421039023
15 
4421040026
 
3

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4421025028
2nd row4421025028
3rd row4421025028
4th row4421025028
5th row4421025028

Common Values

ValueCountFrequency (%)
4421031027 32
32.0%
4421038039 30
30.0%
4421025028 20
20.0%
4421039023 15
15.0%
4421040026 3
 
3.0%

Length

2023-12-10T19:50:04.416427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:04.645941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4421031027 32
32.0%
4421038039 30
30.0%
4421025028 20
20.0%
4421039023 15
15.0%
4421040026 3
 
3.0%

취수계획량(m3/d)
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
160
45 
150
32 
250
20 
192
 
3

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row250
2nd row250
3rd row250
4th row250
5th row250

Common Values

ValueCountFrequency (%)
160 45
45.0%
150 32
32.0%
250 20
20.0%
192 3
 
3.0%

Length

2023-12-10T19:50:04.871041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:05.058626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
160 45
45.0%
150 32
32.0%
250 20
20.0%
192 3
 
3.0%

영향조사보고서번호
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
YH54686
32 
YH54684
30 
YH54683
20 
YH54685
15 
YH54687
 
3

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowYH54683
2nd rowYH54683
3rd rowYH54683
4th rowYH54683
5th rowYH54683

Common Values

ValueCountFrequency (%)
YH54686 32
32.0%
YH54684 30
30.0%
YH54683 20
20.0%
YH54685 15
15.0%
YH54687 3
 
3.0%

Length

2023-12-10T19:50:05.293820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:05.461496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
yh54686 32
32.0%
yh54684 30
30.0%
yh54683 20
20.0%
yh54685 15
15.0%
yh54687 3
 
3.0%

경도도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
126
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126
2nd row126
3rd row126
4th row126
5th row126

Common Values

ValueCountFrequency (%)
126 100
100.0%

Length

2023-12-10T19:50:05.678173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:05.825243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126 100
100.0%

경도분
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
24
32 
33
30 
29
20 
34
15 
31
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row29
2nd row29
3rd row29
4th row29
5th row29

Common Values

ValueCountFrequency (%)
24 32
32.0%
33 30
30.0%
29 20
20.0%
34 15
15.0%
31 3
 
3.0%

Length

2023-12-10T19:50:06.025909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:06.231888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24 32
32.0%
33 30
30.0%
29 20
20.0%
34 15
15.0%
31 3
 
3.0%

경도초
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.0124
Minimum20.68
Maximum50.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:50:06.426107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.68
5-th percentile20.68
Q128
median45.494
Q350.55
95-th percentile50.55
Maximum50.55
Range29.87
Interquartile range (IQR)22.55

Descriptive statistics

Standard deviation11.081358
Coefficient of variation (CV)0.28404707
Kurtosis-1.2998082
Mean39.0124
Median Absolute Deviation (MAD)5.056
Skewness-0.44340316
Sum3901.24
Variance122.79649
MonotonicityNot monotonic
2023-12-10T19:50:06.611066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
50.55 32
32.0%
45.494 20
20.0%
28.0 15
15.0%
36.0 15
15.0%
20.68 15
15.0%
34.52 3
 
3.0%
ValueCountFrequency (%)
20.68 15
15.0%
28.0 15
15.0%
34.52 3
 
3.0%
36.0 15
15.0%
45.494 20
20.0%
50.55 32
32.0%
ValueCountFrequency (%)
50.55 32
32.0%
45.494 20
20.0%
36.0 15
15.0%
34.52 3
 
3.0%
28.0 15
15.0%
20.68 15
15.0%

위도도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
36
100 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row36
2nd row36
3rd row36
4th row36
5th row36

Common Values

ValueCountFrequency (%)
36 100
100.0%

Length

2023-12-10T19:50:06.806078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:06.945863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
36 100
100.0%

위도분
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
46
52 
45
30 
40
15 
41
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46
2nd row46
3rd row46
4th row46
5th row46

Common Values

ValueCountFrequency (%)
46 52
52.0%
45 30
30.0%
40 15
 
15.0%
41 3
 
3.0%

Length

2023-12-10T19:50:07.115204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:07.310839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46 52
52.0%
45 30
30.0%
40 15
 
15.0%
41 3
 
3.0%

위도초
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.3567
Minimum25.412
Maximum56.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-10T19:50:07.653354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25.412
5-th percentile25.412
Q127.71
median27.71
Q340
95-th percentile56.77
Maximum56.77
Range31.358
Interquartile range (IQR)12.29

Descriptive statistics

Standard deviation10.660373
Coefficient of variation (CV)0.30150927
Kurtosis-0.21089489
Mean35.3567
Median Absolute Deviation (MAD)2.298
Skewness0.98289791
Sum3535.67
Variance113.64355
MonotonicityNot monotonic
2023-12-10T19:50:07.815517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
27.71 32
32.0%
25.412 20
20.0%
40.0 15
15.0%
39.0 15
15.0%
56.77 15
15.0%
34.72 3
 
3.0%
ValueCountFrequency (%)
25.412 20
20.0%
27.71 32
32.0%
34.72 3
 
3.0%
39.0 15
15.0%
40.0 15
15.0%
56.77 15
15.0%
ValueCountFrequency (%)
56.77 15
15.0%
40.0 15
15.0%
39.0 15
15.0%
34.72 3
 
3.0%
27.71 32
32.0%
25.412 20
20.0%

수질검사기관명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
㈜신성생명환경연구원
77 
㈜맑은물분석연구원
20 
㈜한울생명과학
 
3

Length

Max length10
Median length10
Mean length9.71
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row㈜맑은물분석연구원
2nd row㈜맑은물분석연구원
3rd row㈜맑은물분석연구원
4th row㈜맑은물분석연구원
5th row㈜맑은물분석연구원

Common Values

ValueCountFrequency (%)
㈜신성생명환경연구원 77
77.0%
㈜맑은물분석연구원 20
 
20.0%
㈜한울생명과학 3
 
3.0%

Length

2023-12-10T19:50:08.040815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:08.258131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㈜신성생명환경연구원 77
77.0%
㈜맑은물분석연구원 20
 
20.0%
㈜한울생명과학 3
 
3.0%

수질검사일자
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20200421
31 
20200406
30 
20200129
20 
20200428
16 
20200603
 
3

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20200129
2nd row20200129
3rd row20200129
4th row20200129
5th row20200129

Common Values

ValueCountFrequency (%)
20200421 31
31.0%
20200406 30
30.0%
20200129 20
20.0%
20200428 16
16.0%
20200603 3
 
3.0%

Length

2023-12-10T19:50:08.480289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:08.701552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20200421 31
31.0%
20200406 30
30.0%
20200129 20
20.0%
20200428 16
16.0%
20200603 3
 
3.0%

수질검사항목영문
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
100 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 100
100.0%

Length

2023-12-10T19:50:08.911236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T19:50:09.062526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 100
100.0%

수질검사항목한글명
Categorical

Distinct20
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
질산성질소
8 
염소이온
7 
1.1.1-트리클로로에탄
7 
트리클로로에틸렌
7 
시안
 
6
Other values (15)
65 

Length

Max length13
Median length8
Mean length4.6
Min length1

Unique

Unique5 ?
Unique (%)5.0%

Sample

1st row카드뮴
2nd row비소
3rd row크롬
4th row수은
5th row납

Common Values

ValueCountFrequency (%)
질산성질소 8
 
8.0%
염소이온 7
 
7.0%
1.1.1-트리클로로에탄 7
 
7.0%
트리클로로에틸렌 7
 
7.0%
시안 6
 
6.0%
테트라클로로에틸렌 6
 
6.0%
크롬 6
 
6.0%
수은 6
 
6.0%
납 6
 
6.0%
페놀 6
 
6.0%
Other values (10) 35
35.0%

Length

2023-12-10T19:50:09.258669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
질산성질소 8
 
8.0%
1.1.1-트리클로로에탄 7
 
7.0%
트리클로로에틸렌 7
 
7.0%
염소이온 7
 
7.0%
페놀 6
 
6.0%
파라티온 6
 
6.0%
수소이온농도 6
 
6.0%
비소 6
 
6.0%
카드뮴 6
 
6.0%
다이아지논 6
 
6.0%
Other values (10) 35
35.0%

결과값
Categorical

IMBALANCE 

Distinct17
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
불검출
77 
7.5
 
3
3
 
2
18.4
 
2
22.7
 
2
Other values (12)
14 

Length

Max length5
Median length3
Mean length3.01
Min length1

Unique

Unique10 ?
Unique (%)10.0%

Sample

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

Common Values

ValueCountFrequency (%)
불검출 77
77.0%
7.5 3
 
3.0%
3 2
 
2.0%
18.4 2
 
2.0%
22.7 2
 
2.0%
21 2
 
2.0%
7.1 2
 
2.0%
20.3 1
 
1.0%
0.7 1
 
1.0%
48.9 1
 
1.0%
Other values (7) 7
 
7.0%

Length

2023-12-10T19:50:09.518179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
불검출 77
77.0%
7.5 3
 
3.0%
3 2
 
2.0%
18.4 2
 
2.0%
22.7 2
 
2.0%
21 2
 
2.0%
7.1 2
 
2.0%
11.5 1
 
1.0%
13 1
 
1.0%
9.8 1
 
1.0%
Other values (7) 7
 
7.0%

Interactions

2023-12-10T19:50:02.510777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:01.325650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:02.023080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:02.663486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:01.574448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:02.192589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:02.809737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:01.819065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T19:50:02.348216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T19:50:09.724941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영향조사번호법정동코드취수계획량(m3/d)영향조사보고서번호경도분경도초위도분위도초수질검사기관명수질검사일자수질검사항목한글명결과값
영향조사번호1.0001.0001.0001.0001.0001.0001.0001.0001.0000.8690.0000.462
법정동코드1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9950.0000.467
취수계획량(m3/d)1.0001.0001.0001.0001.0001.0000.9810.9811.0000.9160.0000.518
영향조사보고서번호1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9950.0000.467
경도분1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9950.0000.467
경도초1.0001.0001.0001.0001.0001.0001.0001.0001.0000.9290.0000.457
위도분1.0001.0000.9811.0001.0001.0001.0001.0000.7300.8830.0000.465
위도초1.0001.0000.9811.0001.0001.0001.0001.0000.7300.8830.0000.465
수질검사기관명1.0001.0001.0001.0001.0001.0000.7300.7301.0001.0000.0000.513
수질검사일자0.8690.9950.9160.9950.9950.9290.8830.8831.0001.0000.0000.280
수질검사항목한글명0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.702
결과값0.4620.4670.5180.4670.4670.4570.4650.4650.5130.2800.7021.000
2023-12-10T19:50:09.992090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도분법정동코드취수계획량(m3/d)수질검사기관명경도분결과값수질검사항목한글명영향조사보고서번호수질검사일자
위도분1.0000.9950.8100.7710.9950.2540.0000.9950.872
법정동코드0.9951.0000.9950.9901.0000.2420.0001.0000.896
취수계획량(m3/d)0.8100.9951.0000.9950.9950.2890.0000.9950.920
수질검사기관명0.7710.9900.9951.0000.9900.2970.0000.9900.990
경도분0.9951.0000.9950.9901.0000.2420.0001.0000.896
결과값0.2540.2420.2890.2970.2421.0000.2840.2420.132
수질검사항목한글명0.0000.0000.0000.0000.0000.2841.0000.0000.000
영향조사보고서번호0.9951.0000.9950.9901.0000.2420.0001.0000.896
수질검사일자0.8720.8960.9200.9900.8960.1320.0000.8961.000
2023-12-10T19:50:10.237369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영향조사번호경도초위도초법정동코드취수계획량(m3/d)영향조사보고서번호경도분위도분수질검사기관명수질검사일자수질검사항목한글명결과값
영향조사번호1.0000.3820.1610.9950.9900.9950.9950.9900.9840.8900.0000.217
경도초0.3821.000-0.7840.9950.9900.9950.9950.9900.9840.8900.0000.217
위도초0.161-0.7841.0000.9950.8100.9950.9951.0000.7710.8720.0000.254
법정동코드0.9950.9950.9951.0000.9951.0001.0000.9950.9900.8960.0000.242
취수계획량(m3/d)0.9900.9900.8100.9951.0000.9950.9950.8100.9950.9200.0000.289
영향조사보고서번호0.9950.9950.9951.0000.9951.0001.0000.9950.9900.8960.0000.242
경도분0.9950.9950.9951.0000.9951.0001.0000.9950.9900.8960.0000.242
위도분0.9900.9901.0000.9950.8100.9950.9951.0000.7710.8720.0000.254
수질검사기관명0.9840.9840.7710.9900.9950.9900.9900.7711.0000.9900.0000.297
수질검사일자0.8900.8900.8720.8960.9200.8960.8960.8720.9901.0000.0000.132
수질검사항목한글명0.0000.0000.0000.0000.0000.0000.0000.0000.0000.0001.0000.284
결과값0.2170.2170.2540.2420.2890.2420.2420.2540.2970.1320.2841.000

Missing values

2023-12-10T19:50:03.047255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T19:50:03.458097image/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

자료기준년도영향조사번호법정동코드취수계획량(m3/d)영향조사보고서번호경도도경도분경도초위도도위도분위도초수질검사기관명수질검사일자수질검사항목영문수질검사항목한글명결과값
02020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290카드뮴불검출
12020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290비소불검출
22020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290크롬불검출
32020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290수은불검출
42020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290납불검출
52020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290페놀불검출
62020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290시안불검출
72020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290다이아지논불검출
82020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290파라티온불검출
92020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원2020012901.1.1-트리클로로에탄불검출
자료기준년도영향조사번호법정동코드취수계획량(m3/d)영향조사보고서번호경도도경도분경도초위도도위도분위도초수질검사기관명수질검사일자수질검사항목영문수질검사항목한글명결과값
902020227664421031027150YH546861262450.55364627.71㈜신성생명환경연구원202004280카드뮴불검출
912020227664421031027150YH546861262450.55364627.71㈜신성생명환경연구원202004280비소불검출
922020227664421031027150YH546861262450.55364627.71㈜신성생명환경연구원202004280시안불검출
932020227664421031027150YH546861262450.55364627.71㈜신성생명환경연구원202004280수은불검출
942020227664421031027150YH546861262450.55364627.71㈜신성생명환경연구원202004280다이아지논불검출
952020227664421031027150YH546861262450.55364627.71㈜신성생명환경연구원202004280질산성질소18.4
962020227674421040026192YH546871263134.52364134.72㈜한울생명과학202006030트리클로로에틸렌불검출
972020227674421040026192YH546871263134.52364134.72㈜한울생명과학2020060301.1.1-트리클로로에탄불검출
982020227674421040026192YH546871263134.52364134.72㈜한울생명과학202006030염소이온17.7
992020227624421025028250YH546831262945.494364625.412㈜맑은물분석연구원202001290트리클로로에틸렌불검출