Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory213.0 B

Variable types

Categorical8
DateTime1
Numeric14

Dataset

Description전국 연안 및 근해 정점 수질 상시측정을 통하여 향후 해양환경 상태 측정 및 변화를 예측·예보 할 수 있는 실시간 해양수질자료, 정제한 자료는 한달에 한번씩 meis.go.kr에서 갱신되며 해수일반(수온,염분등 6개), COD,TN,TP등의 자료를 5분 단위로 측정한 자료
Author해양환경공단
URLhttps://www.data.go.kr/data/15044191/fileData.do

Alerts

정점명 has constant value ""Constant
정점코드 has constant value ""Constant
일사량 has constant value ""Constant
기온 has constant value ""Constant
상대습도 has constant value ""Constant
풍속 has constant value ""Constant
풍향 has constant value ""Constant
강수량 has constant value ""Constant
관측일자 has unique valuesUnique
전기전도도 has 807 (8.1%) zerosZeros
수온 has 811 (8.1%) zerosZeros
수소이온농도 has 860 (8.6%) zerosZeros
용존산소량 has 955 (9.6%) zerosZeros
탁도 has 1062 (10.6%) zerosZeros
염분 has 823 (8.2%) zerosZeros
클로로필 has 938 (9.4%) zerosZeros
화학적산소요구량 has 1987 (19.9%) zerosZeros
총질소 has 1596 (16.0%) zerosZeros
총인 has 1498 (15.0%) zerosZeros
암모니아질소 has 1998 (20.0%) zerosZeros
질산질소 has 1740 (17.4%) zerosZeros
남조류 has 1273 (12.7%) zerosZeros
인산성인 has 1271 (12.7%) zerosZeros

Reproduction

Analysis started2023-12-12 14:38:02.192198
Analysis finished2023-12-12 14:38:02.972399
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

정점명
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마산삼귀 10000
100.0%

Length

2023-12-12T23:38:03.068208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:03.193852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마산삼귀 10000
100.0%

정점코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
215
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row215
2nd row215
3rd row215
4th row215
5th row215

Common Values

ValueCountFrequency (%)
215 10000
100.0%

Length

2023-12-12T23:38:03.314388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:03.408539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
215 10000
100.0%

관측일자
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:00:00
Maximum2022-12-01 19:40:00
2023-12-12T23:38:03.547290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:38:03.735209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전기전도도
Real number (ℝ)

ZEROS 

Distinct1311
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.249647
Minimum0
Maximum51.8
Zeros807
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:03.970728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142.3475
median46
Q348.09
95-th percentile51.13
Maximum51.8
Range51.8
Interquartile range (IQR)5.7425

Descriptive statistics

Standard deviation12.902919
Coefficient of variation (CV)0.30539708
Kurtosis6.3214323
Mean42.249647
Median Absolute Deviation (MAD)2.49
Skewness-2.7667584
Sum422496.47
Variance166.48531
MonotonicityNot monotonic
2023-12-12T23:38:04.157162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 807
 
8.1%
47.29 37
 
0.4%
47.44 37
 
0.4%
47.32 36
 
0.4%
47.34 33
 
0.3%
47.51 31
 
0.3%
47.3 29
 
0.3%
47.45 29
 
0.3%
47.25 28
 
0.3%
47.49 27
 
0.3%
Other values (1301) 8906
89.1%
ValueCountFrequency (%)
0.0 807
8.1%
33.76 1
 
< 0.1%
35.26 1
 
< 0.1%
35.31 1
 
< 0.1%
35.32 1
 
< 0.1%
35.55 1
 
< 0.1%
35.88 1
 
< 0.1%
36.01 1
 
< 0.1%
36.04 1
 
< 0.1%
36.06 1
 
< 0.1%
ValueCountFrequency (%)
51.8 2
 
< 0.1%
51.75 1
 
< 0.1%
51.73 1
 
< 0.1%
51.71 1
 
< 0.1%
51.7 1
 
< 0.1%
51.68 2
 
< 0.1%
51.67 1
 
< 0.1%
51.64 5
0.1%
51.63 2
 
< 0.1%
51.61 6
0.1%

수온
Real number (ℝ)

ZEROS 

Distinct1940
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.347128
Minimum0
Maximum30.26
Zeros811
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:04.320117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.17
median18.03
Q323.38
95-th percentile27.0705
Maximum30.26
Range30.26
Interquartile range (IQR)16.21

Descriptive statistics

Standard deviation8.409576
Coefficient of variation (CV)0.51443752
Kurtosis-0.92960241
Mean16.347128
Median Absolute Deviation (MAD)5.83
Skewness-0.51390605
Sum163471.28
Variance70.720968
MonotonicityNot monotonic
2023-12-12T23:38:04.500927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 811
 
8.1%
6.16 21
 
0.2%
5.87 21
 
0.2%
5.82 21
 
0.2%
6.07 19
 
0.2%
5.96 19
 
0.2%
6.21 19
 
0.2%
6.11 19
 
0.2%
6.25 18
 
0.2%
5.97 18
 
0.2%
Other values (1930) 9014
90.1%
ValueCountFrequency (%)
0.0 811
8.1%
4.89 1
 
< 0.1%
4.93 2
 
< 0.1%
4.94 1
 
< 0.1%
4.95 2
 
< 0.1%
4.98 2
 
< 0.1%
4.99 2
 
< 0.1%
5.01 3
 
< 0.1%
5.02 4
 
< 0.1%
5.03 4
 
< 0.1%
ValueCountFrequency (%)
30.26 1
< 0.1%
30.19 1
< 0.1%
30.15 1
< 0.1%
29.98 1
< 0.1%
29.94 1
< 0.1%
29.9 1
< 0.1%
29.81 1
< 0.1%
29.71 1
< 0.1%
29.62 1
< 0.1%
29.61 1
< 0.1%

수소이온농도
Real number (ℝ)

ZEROS 

Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.110483
Minimum0
Maximum8.27
Zeros860
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:04.670447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.62
median7.79
Q37.92
95-th percentile7.99
Maximum8.27
Range8.27
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation2.1878407
Coefficient of variation (CV)0.30769227
Kurtosis6.6115815
Mean7.110483
Median Absolute Deviation (MAD)0.14
Skewness-2.921793
Sum71104.83
Variance4.7866468
MonotonicityNot monotonic
2023-12-12T23:38:04.883726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 860
 
8.6%
7.95 324
 
3.2%
7.94 320
 
3.2%
7.96 302
 
3.0%
7.97 281
 
2.8%
7.89 268
 
2.7%
7.91 261
 
2.6%
7.93 247
 
2.5%
7.92 239
 
2.4%
7.9 238
 
2.4%
Other values (99) 6660
66.6%
ValueCountFrequency (%)
0.0 860
8.6%
7.14 2
 
< 0.1%
7.15 2
 
< 0.1%
7.16 2
 
< 0.1%
7.17 3
 
< 0.1%
7.18 5
 
0.1%
7.19 1
 
< 0.1%
7.2 3
 
< 0.1%
7.21 6
 
0.1%
7.22 1
 
< 0.1%
ValueCountFrequency (%)
8.27 1
 
< 0.1%
8.25 1
 
< 0.1%
8.19 2
 
< 0.1%
8.18 2
 
< 0.1%
8.17 2
 
< 0.1%
8.16 2
 
< 0.1%
8.15 3
< 0.1%
8.14 2
 
< 0.1%
8.13 1
 
< 0.1%
8.12 5
0.1%

용존산소량
Real number (ℝ)

ZEROS 

Distinct992
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.270953
Minimum0
Maximum14.25
Zeros955
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:05.062001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.63
median7.66
Q39.81
95-th percentile11.45
Maximum14.25
Range14.25
Interquartile range (IQR)4.18

Descriptive statistics

Standard deviation3.2402873
Coefficient of variation (CV)0.44564823
Kurtosis0.066577492
Mean7.270953
Median Absolute Deviation (MAD)2.08
Skewness-0.7584092
Sum72709.53
Variance10.499462
MonotonicityNot monotonic
2023-12-12T23:38:05.247945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 955
 
9.6%
10.88 27
 
0.3%
7.77 24
 
0.2%
10.99 24
 
0.2%
7.37 24
 
0.2%
11.06 24
 
0.2%
8.05 23
 
0.2%
11.12 22
 
0.2%
11.09 22
 
0.2%
6.79 22
 
0.2%
Other values (982) 8833
88.3%
ValueCountFrequency (%)
0.0 955
9.6%
2.45 1
 
< 0.1%
2.51 1
 
< 0.1%
2.52 1
 
< 0.1%
2.56 1
 
< 0.1%
2.57 1
 
< 0.1%
2.59 4
 
< 0.1%
2.6 1
 
< 0.1%
2.64 1
 
< 0.1%
2.68 1
 
< 0.1%
ValueCountFrequency (%)
14.25 1
< 0.1%
13.96 1
< 0.1%
13.89 1
< 0.1%
13.87 1
< 0.1%
13.65 1
< 0.1%
13.57 1
< 0.1%
13.38 1
< 0.1%
13.26 1
< 0.1%
13.23 1
< 0.1%
13.12 1
< 0.1%

탁도
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0475
Minimum0
Maximum75
Zeros1062
Zeros (%)10.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:05.446464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median8
Q310
95-th percentile19
Maximum75
Range75
Interquartile range (IQR)3

Descriptive statistics

Standard deviation5.9613251
Coefficient of variation (CV)0.65889198
Kurtosis18.307545
Mean9.0475
Median Absolute Deviation (MAD)1
Skewness2.9643392
Sum90475
Variance35.537397
MonotonicityNot monotonic
2023-12-12T23:38:05.629379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 2731
27.3%
9 1885
18.9%
7 1414
14.1%
0 1062
 
10.6%
10 1047
 
10.5%
11 499
 
5.0%
12 277
 
2.8%
13 176
 
1.8%
14 117
 
1.2%
15 78
 
0.8%
Other values (47) 714
 
7.1%
ValueCountFrequency (%)
0 1062
 
10.6%
4 6
 
0.1%
5 25
 
0.2%
6 30
 
0.3%
7 1414
14.1%
8 2731
27.3%
9 1885
18.9%
10 1047
 
10.5%
11 499
 
5.0%
12 277
 
2.8%
ValueCountFrequency (%)
75 2
< 0.1%
74 1
< 0.1%
73 1
< 0.1%
69 1
< 0.1%
66 1
< 0.1%
63 1
< 0.1%
62 1
< 0.1%
61 2
< 0.1%
60 2
< 0.1%
59 1
< 0.1%

일사량
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T23:38:05.778233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:05.892120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

기온
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T23:38:06.008940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:06.128169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

상대습도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T23:38:06.559728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:06.677657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

풍속
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T23:38:06.781446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:06.880509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

풍향
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T23:38:06.984054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:07.070144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

강수량
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-12T23:38:07.159355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:07.266841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

염분
Real number (ℝ)

ZEROS 

Distinct854
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.111653
Minimum0
Maximum33.51
Zeros823
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:07.375699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.6075
median30.61
Q331.68
95-th percentile32.99
Maximum33.51
Range33.51
Interquartile range (IQR)2.0725

Descriptive statistics

Standard deviation8.5760857
Coefficient of variation (CV)0.30507227
Kurtosis6.5298326
Mean28.111653
Median Absolute Deviation (MAD)1.06
Skewness-2.8539421
Sum281116.53
Variance73.549246
MonotonicityNot monotonic
2023-12-12T23:38:07.523049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 823
 
8.2%
31.69 73
 
0.7%
31.67 73
 
0.7%
31.71 65
 
0.7%
31.68 64
 
0.6%
31.88 63
 
0.6%
30.36 63
 
0.6%
31.89 62
 
0.6%
31.7 60
 
0.6%
31.51 59
 
0.6%
Other values (844) 8595
86.0%
ValueCountFrequency (%)
0.0 823
8.2%
19.74 1
 
< 0.1%
21.64 1
 
< 0.1%
21.83 1
 
< 0.1%
22.04 1
 
< 0.1%
22.19 1
 
< 0.1%
22.23 2
 
< 0.1%
22.26 1
 
< 0.1%
22.27 1
 
< 0.1%
22.34 1
 
< 0.1%
ValueCountFrequency (%)
33.51 2
 
< 0.1%
33.45 1
 
< 0.1%
33.44 1
 
< 0.1%
33.42 2
 
< 0.1%
33.41 1
 
< 0.1%
33.39 1
 
< 0.1%
33.38 2
 
< 0.1%
33.37 4
< 0.1%
33.36 3
< 0.1%
33.34 7
0.1%

클로로필
Real number (ℝ)

ZEROS 

Distinct1296
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.692627
Minimum0
Maximum60.24
Zeros938
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:07.697651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.3475
median2.95
Q34.54
95-th percentile9.1605
Maximum60.24
Range60.24
Interquartile range (IQR)3.1925

Descriptive statistics

Standard deviation4.4196331
Coefficient of variation (CV)1.1968805
Kurtosis37.868301
Mean3.692627
Median Absolute Deviation (MAD)1.6
Skewness4.9525022
Sum36926.27
Variance19.533157
MonotonicityNot monotonic
2023-12-12T23:38:07.833337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 938
 
9.4%
0.57 30
 
0.3%
3.43 28
 
0.3%
0.55 26
 
0.3%
3.84 26
 
0.3%
3.42 26
 
0.3%
3.95 25
 
0.2%
1.54 25
 
0.2%
3.58 25
 
0.2%
3.68 25
 
0.2%
Other values (1286) 8826
88.3%
ValueCountFrequency (%)
0.0 938
9.4%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.06 3
 
< 0.1%
0.08 1
 
< 0.1%
0.09 1
 
< 0.1%
0.1 3
 
< 0.1%
0.12 2
 
< 0.1%
0.13 4
 
< 0.1%
0.14 2
 
< 0.1%
ValueCountFrequency (%)
60.24 1
< 0.1%
58.32 1
< 0.1%
55.79 1
< 0.1%
55.39 1
< 0.1%
50.85 1
< 0.1%
50.27 1
< 0.1%
48.44 1
< 0.1%
47.72 1
< 0.1%
47.14 1
< 0.1%
46.77 1
< 0.1%

화학적산소요구량
Real number (ℝ)

ZEROS 

Distinct376
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.498973
Minimum0
Maximum6.03
Zeros1987
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:07.986607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.78
median1.52
Q32.27
95-th percentile3.15
Maximum6.03
Range6.03
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation1.0280049
Coefficient of variation (CV)0.68580616
Kurtosis-0.6361826
Mean1.498973
Median Absolute Deviation (MAD)0.75
Skewness0.10374025
Sum14989.73
Variance1.0567941
MonotonicityNot monotonic
2023-12-12T23:38:08.170979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1987
 
19.9%
1.45 62
 
0.6%
1.52 57
 
0.6%
1.64 54
 
0.5%
2.63 53
 
0.5%
1.34 53
 
0.5%
1.71 51
 
0.5%
1.94 50
 
0.5%
2.08 49
 
0.5%
1.26 49
 
0.5%
Other values (366) 7535
75.3%
ValueCountFrequency (%)
0.0 1987
19.9%
0.22 3
 
< 0.1%
0.29 4
 
< 0.1%
0.31 2
 
< 0.1%
0.32 3
 
< 0.1%
0.33 1
 
< 0.1%
0.36 2
 
< 0.1%
0.38 3
 
< 0.1%
0.4 3
 
< 0.1%
0.41 6
 
0.1%
ValueCountFrequency (%)
6.03 2
< 0.1%
5.95 1
 
< 0.1%
5.76 1
 
< 0.1%
5.52 1
 
< 0.1%
5.25 2
< 0.1%
5.15 1
 
< 0.1%
4.87 2
< 0.1%
4.82 2
< 0.1%
4.8 3
< 0.1%
4.79 1
 
< 0.1%

총질소
Real number (ℝ)

ZEROS 

Distinct698
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.20939
Minimum0
Maximum1.687
Zeros1596
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:08.338353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.117
median0.17
Q30.268
95-th percentile0.558
Maximum1.687
Range1.687
Interquartile range (IQR)0.151

Descriptive statistics

Standard deviation0.18307004
Coefficient of variation (CV)0.87430172
Kurtosis8.5765292
Mean0.20939
Median Absolute Deviation (MAD)0.075
Skewness2.1242834
Sum2093.9
Variance0.033514638
MonotonicityNot monotonic
2023-12-12T23:38:08.495173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1596
 
16.0%
0.14 70
 
0.7%
0.132 68
 
0.7%
0.125 65
 
0.7%
0.15 64
 
0.6%
0.155 64
 
0.6%
0.149 63
 
0.6%
0.129 61
 
0.6%
0.167 61
 
0.6%
0.135 58
 
0.6%
Other values (688) 7830
78.3%
ValueCountFrequency (%)
0.0 1596
16.0%
0.007 2
 
< 0.1%
0.009 3
 
< 0.1%
0.015 3
 
< 0.1%
0.016 2
 
< 0.1%
0.017 4
 
< 0.1%
0.018 2
 
< 0.1%
0.019 1
 
< 0.1%
0.02 1
 
< 0.1%
0.021 8
 
0.1%
ValueCountFrequency (%)
1.687 1
 
< 0.1%
1.63 4
< 0.1%
1.617 1
 
< 0.1%
1.614 2
< 0.1%
1.588 4
< 0.1%
1.562 1
 
< 0.1%
1.409 1
 
< 0.1%
1.383 3
< 0.1%
1.342 1
 
< 0.1%
1.336 4
< 0.1%

총인
Real number (ℝ)

ZEROS 

Distinct101
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0309636
Minimum0
Maximum0.115
Zeros1498
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:08.638513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.021
median0.03
Q30.042
95-th percentile0.065
Maximum0.115
Range0.115
Interquartile range (IQR)0.021

Descriptive statistics

Standard deviation0.019222435
Coefficient of variation (CV)0.62080751
Kurtosis0.77852091
Mean0.0309636
Median Absolute Deviation (MAD)0.011
Skewness0.4345717
Sum309.636
Variance0.00036950203
MonotonicityNot monotonic
2023-12-12T23:38:08.808894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1498
 
15.0%
0.025 384
 
3.8%
0.024 373
 
3.7%
0.023 309
 
3.1%
0.026 280
 
2.8%
0.021 280
 
2.8%
0.022 276
 
2.8%
0.027 261
 
2.6%
0.041 251
 
2.5%
0.043 246
 
2.5%
Other values (91) 5842
58.4%
ValueCountFrequency (%)
0.0 1498
15.0%
0.007 1
 
< 0.1%
0.008 5
 
0.1%
0.009 9
 
0.1%
0.01 7
 
0.1%
0.011 7
 
0.1%
0.012 8
 
0.1%
0.013 20
 
0.2%
0.014 22
 
0.2%
0.015 37
 
0.4%
ValueCountFrequency (%)
0.115 2
< 0.1%
0.113 1
 
< 0.1%
0.111 2
< 0.1%
0.106 3
< 0.1%
0.105 1
 
< 0.1%
0.104 2
< 0.1%
0.103 3
< 0.1%
0.101 3
< 0.1%
0.098 3
< 0.1%
0.097 3
< 0.1%

암모니아질소
Real number (ℝ)

ZEROS 

Distinct272
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.048872
Minimum0
Maximum0.311
Zeros1998
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:08.958015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007
median0.026
Q30.07
95-th percentile0.179
Maximum0.311
Range0.311
Interquartile range (IQR)0.063

Descriptive statistics

Standard deviation0.058052011
Coefficient of variation (CV)1.1878378
Kurtosis2.4467293
Mean0.048872
Median Absolute Deviation (MAD)0.026
Skewness1.6618524
Sum488.72
Variance0.003370036
MonotonicityNot monotonic
2023-12-12T23:38:09.104514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1998
 
20.0%
0.015 189
 
1.9%
0.014 186
 
1.9%
0.025 176
 
1.8%
0.017 169
 
1.7%
0.012 151
 
1.5%
0.011 151
 
1.5%
0.016 149
 
1.5%
0.005 141
 
1.4%
0.022 138
 
1.4%
Other values (262) 6552
65.5%
ValueCountFrequency (%)
0.0 1998
20.0%
0.001 5
 
0.1%
0.002 18
 
0.2%
0.003 41
 
0.4%
0.004 67
 
0.7%
0.005 141
 
1.4%
0.006 117
 
1.2%
0.007 118
 
1.2%
0.008 81
 
0.8%
0.009 80
 
0.8%
ValueCountFrequency (%)
0.311 3
< 0.1%
0.306 3
< 0.1%
0.295 3
< 0.1%
0.287 1
 
< 0.1%
0.286 1
 
< 0.1%
0.282 2
 
< 0.1%
0.279 3
< 0.1%
0.277 5
0.1%
0.275 5
0.1%
0.274 3
< 0.1%

질산질소
Real number (ℝ)

ZEROS 

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0309112
Minimum0
Maximum0.18
Zeros1740
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:09.256642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.004
median0.013
Q30.045
95-th percentile0.118
Maximum0.18
Range0.18
Interquartile range (IQR)0.041

Descriptive statistics

Standard deviation0.038083082
Coefficient of variation (CV)1.2320156
Kurtosis1.3585366
Mean0.0309112
Median Absolute Deviation (MAD)0.013
Skewness1.4864654
Sum309.112
Variance0.0014503211
MonotonicityNot monotonic
2023-12-12T23:38:09.463017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1740
 
17.4%
0.006 380
 
3.8%
0.005 371
 
3.7%
0.004 358
 
3.6%
0.01 280
 
2.8%
0.008 279
 
2.8%
0.003 272
 
2.7%
0.007 267
 
2.7%
0.009 266
 
2.7%
0.011 240
 
2.4%
Other values (159) 5547
55.5%
ValueCountFrequency (%)
0.0 1740
17.4%
0.001 72
 
0.7%
0.002 167
 
1.7%
0.003 272
 
2.7%
0.004 358
 
3.6%
0.005 371
 
3.7%
0.006 380
 
3.8%
0.007 267
 
2.7%
0.008 279
 
2.8%
0.009 266
 
2.7%
ValueCountFrequency (%)
0.18 2
 
< 0.1%
0.176 2
 
< 0.1%
0.175 2
 
< 0.1%
0.173 3
< 0.1%
0.171 4
< 0.1%
0.17 1
 
< 0.1%
0.169 2
 
< 0.1%
0.166 1
 
< 0.1%
0.164 7
0.1%
0.163 2
 
< 0.1%

남조류
Real number (ℝ)

ZEROS 

Distinct8333
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2610.6248
Minimum0
Maximum16927.12
Zeros1273
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:09.678524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11610.0975
median2420.9
Q33849.815
95-th percentile4553.4625
Maximum16927.12
Range16927.12
Interquartile range (IQR)2239.7175

Descriptive statistics

Standard deviation1599.5497
Coefficient of variation (CV)0.61270764
Kurtosis3.7772423
Mean2610.6248
Median Absolute Deviation (MAD)1116.78
Skewness0.66009883
Sum26106248
Variance2558559.4
MonotonicityNot monotonic
2023-12-12T23:38:09.843573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1273
 
12.7%
1976.03 4
 
< 0.1%
4310.27 3
 
< 0.1%
3414.1 3
 
< 0.1%
3492.47 3
 
< 0.1%
4371.5 3
 
< 0.1%
2052.03 3
 
< 0.1%
1960.8 3
 
< 0.1%
1957.1 3
 
< 0.1%
3591.07 3
 
< 0.1%
Other values (8323) 8699
87.0%
ValueCountFrequency (%)
0.0 1273
12.7%
896.0 1
 
< 0.1%
990.2 1
 
< 0.1%
1021.8 1
 
< 0.1%
1023.03 1
 
< 0.1%
1024.67 1
 
< 0.1%
1029.6 1
 
< 0.1%
1032.43 1
 
< 0.1%
1033.5 1
 
< 0.1%
1037.67 1
 
< 0.1%
ValueCountFrequency (%)
16927.12 1
< 0.1%
16797.8 1
< 0.1%
16273.71 1
< 0.1%
16045.06 1
< 0.1%
14552.21 1
< 0.1%
13803.61 1
< 0.1%
13377.77 1
< 0.1%
12846.1 1
< 0.1%
12396.29 1
< 0.1%
12368.31 1
< 0.1%

인산성인
Real number (ℝ)

ZEROS 

Distinct71
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0126361
Minimum0
Maximum0.079
Zeros1271
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:38:10.020842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.003
median0.01
Q30.018
95-th percentile0.039
Maximum0.079
Range0.079
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.012373867
Coefficient of variation (CV)0.97924733
Kurtosis2.6736416
Mean0.0126361
Median Absolute Deviation (MAD)0.007
Skewness1.5272442
Sum126.361
Variance0.00015311259
MonotonicityNot monotonic
2023-12-12T23:38:10.174300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1271
 
12.7%
0.004 696
 
7.0%
0.003 628
 
6.3%
0.005 513
 
5.1%
0.002 512
 
5.1%
0.013 378
 
3.8%
0.016 312
 
3.1%
0.006 309
 
3.1%
0.011 305
 
3.0%
0.012 304
 
3.0%
Other values (61) 4772
47.7%
ValueCountFrequency (%)
0.0 1271
12.7%
0.001 180
 
1.8%
0.002 512
5.1%
0.003 628
6.3%
0.004 696
7.0%
0.005 513
5.1%
0.006 309
 
3.1%
0.007 291
 
2.9%
0.008 296
 
3.0%
0.009 280
 
2.8%
ValueCountFrequency (%)
0.079 1
 
< 0.1%
0.078 1
 
< 0.1%
0.077 4
< 0.1%
0.076 1
 
< 0.1%
0.075 1
 
< 0.1%
0.074 2
< 0.1%
0.072 4
< 0.1%
0.071 1
 
< 0.1%
0.069 3
< 0.1%
0.066 2
< 0.1%

Sample

정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
52031마산삼귀2152022-07-31 04:4046.5923.757.625.421000000031.11.650.00.1760.0390.0540.0341402.430.02
83526마산삼귀2152022-11-17 13:1540.7616.687.739.11800000031.673.012.580.1950.0420.0910.0511795.30.025
50528마산삼귀2152022-07-25 23:2547.225.237.886.721000000030.543.662.170.1870.0380.0210.0422959.330.013
78920마산삼귀2152022-11-01 13:2542.3518.757.717.85900000031.892.721.280.250.0440.1280.081955.240.024
47983마산삼귀2152022-07-17 03:0546.1225.987.795.18900000029.881.790.00.2560.0210.00.0161378.650.016
61907마산삼귀2152022-09-03 11:400.00.00.00.000000000.00.00.00.00.00.00.00.00.0
7204마산삼귀2152022-01-26 00:2047.445.967.9711.862700000030.367.821.490.1380.0210.0080.07910.410.003
74959마산삼귀2152022-10-18 19:2042.7820.137.66.03800000031.643.641.250.00.0650.1310.1312869.170.039
49088마산삼귀2152022-07-20 23:1042.7927.08.0110.14000000027.468.00.00.0480.0090.00.01932.540.0
13321마산삼귀2152022-02-16 06:0551.255.97.9510.361400000033.063.793.260.1360.0180.0350.0053520.530.003
정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
62851마산삼귀2152022-09-06 18:200.00.00.00.000000000.00.00.00.00.00.00.00.00.0
22911마산삼귀2152022-04-21 01:3548.814.528.09.8700000031.884.21.70.2720.0230.0010.0064054.970.003
15839마산삼귀2152022-02-24 23:5551.415.447.9510.61200000033.114.241.380.080.0280.0130.0073463.970.004
54392마산삼귀2152022-08-08 09:2546.6924.967.896.62000000030.11.581.850.1430.0270.0270.0181521.930.009
55592마산삼귀2152022-08-12 13:2548.840.07.937.241200000030.462.320.00.1540.0320.0560.0351866.570.011
16051마산삼귀2152022-02-25 17:3551.296.867.9311.52800000033.22.040.00.1150.0430.0170.0063629.330.004
69463마산삼귀2152022-09-29 17:2045.3223.687.354.681000000030.24.862.210.4090.080.2480.1412155.230.046
21881마산삼귀2152022-04-17 11:4545.6514.267.99.68800000029.594.91.720.1380.00.0090.0064376.370.005
8101마산삼귀2152022-01-29 03:0547.716.057.9711.341100000030.556.322.630.00.030.00.0023408.630.002
65564마산삼귀2152022-09-16 04:250.00.00.00.000000000.00.00.00.00.00.00.00.00.0