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

Categorical10
DateTime1
Numeric12

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/15044190/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
클로로필 has constant value ""Constant
남조류 has constant value ""Constant
관측일자 has unique valuesUnique
전기전도도 has 799 (8.0%) zerosZeros
수온 has 782 (7.8%) zerosZeros
수소이온농도 has 3813 (38.1%) zerosZeros
용존산소량 has 833 (8.3%) zerosZeros
탁도 has 862 (8.6%) zerosZeros
염분 has 806 (8.1%) zerosZeros
화학적산소요구량 has 1682 (16.8%) zerosZeros
총질소 has 1178 (11.8%) zerosZeros
총인 has 1123 (11.2%) zerosZeros
암모니아질소 has 1030 (10.3%) zerosZeros
질산질소 has 1151 (11.5%) zerosZeros
인산성인 has 764 (7.6%) zerosZeros

Reproduction

Analysis started2023-12-13 00:15:02.059184
Analysis finished2023-12-13 00:15:02.470455
Duration0.41 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
마산양덕
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마산양덕 10000
100.0%

Length

2023-12-13T09:15:02.522657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:02.587220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마산양덕 10000
100.0%

정점코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
217
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row217
2nd row217
3rd row217
4th row217
5th row217

Common Values

ValueCountFrequency (%)
217 10000
100.0%

Length

2023-12-13T09:15:02.654975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:02.718280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
217 10000
100.0%

관측일자
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:05:00
Maximum2022-11-22 04:20:00
2023-12-13T09:15:03.001556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T09:15:03.098595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전기전도도
Real number (ℝ)

ZEROS 

Distinct2086
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.304147
Minimum0
Maximum50.24
Zeros799
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:03.202559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.3
median37.91
Q341.57
95-th percentile45.1905
Maximum50.24
Range50.24
Interquartile range (IQR)9.27

Descriptive statistics

Standard deviation12.026836
Coefficient of variation (CV)0.35059424
Kurtosis3.069043
Mean34.304147
Median Absolute Deviation (MAD)4.62
Skewness-1.9713376
Sum343041.47
Variance144.64479
MonotonicityNot monotonic
2023-12-13T09:15:03.314027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 799
 
8.0%
41.52 20
 
0.2%
37.8 18
 
0.2%
31.82 17
 
0.2%
31.91 17
 
0.2%
41.8 16
 
0.2%
41.36 16
 
0.2%
32.16 16
 
0.2%
31.89 16
 
0.2%
41.15 16
 
0.2%
Other values (2076) 9049
90.5%
ValueCountFrequency (%)
0.0 799
8.0%
0.42 1
 
< 0.1%
0.43 1
 
< 0.1%
0.45 1
 
< 0.1%
0.49 1
 
< 0.1%
0.5 2
 
< 0.1%
0.52 1
 
< 0.1%
0.61 1
 
< 0.1%
0.63 1
 
< 0.1%
0.64 1
 
< 0.1%
ValueCountFrequency (%)
50.24 1
< 0.1%
50.04 1
< 0.1%
49.56 1
< 0.1%
49.28 1
< 0.1%
48.5 1
< 0.1%
48.47 1
< 0.1%
48.41 1
< 0.1%
48.37 1
< 0.1%
48.33 1
< 0.1%
48.31 1
< 0.1%

수온
Real number (ℝ)

ZEROS 

Distinct2420
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.542082
Minimum0
Maximum32.25
Zeros782
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:03.424676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18.11
median18.11
Q324.0125
95-th percentile28.2605
Maximum32.25
Range32.25
Interquartile range (IQR)15.9025

Descriptive statistics

Standard deviation8.6859395
Coefficient of variation (CV)0.5250814
Kurtosis-1.0318877
Mean16.542082
Median Absolute Deviation (MAD)7.34
Skewness-0.35474682
Sum165420.82
Variance75.445545
MonotonicityNot monotonic
2023-12-13T09:15:03.526578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 782
 
7.8%
25.83 15
 
0.1%
7.42 14
 
0.1%
7.53 13
 
0.1%
25.79 13
 
0.1%
18.35 12
 
0.1%
7.39 12
 
0.1%
22.11 12
 
0.1%
16.99 12
 
0.1%
19.17 12
 
0.1%
Other values (2410) 9103
91.0%
ValueCountFrequency (%)
0.0 782
7.8%
4.33 1
 
< 0.1%
4.38 1
 
< 0.1%
4.54 3
 
< 0.1%
4.57 1
 
< 0.1%
4.59 1
 
< 0.1%
4.67 1
 
< 0.1%
4.69 2
 
< 0.1%
4.71 2
 
< 0.1%
4.74 1
 
< 0.1%
ValueCountFrequency (%)
32.25 1
< 0.1%
32.24 1
< 0.1%
31.97 1
< 0.1%
31.92 1
< 0.1%
31.87 1
< 0.1%
31.85 2
< 0.1%
31.83 1
< 0.1%
31.81 1
< 0.1%
31.77 1
< 0.1%
31.68 1
< 0.1%

수소이온농도
Real number (ℝ)

ZEROS 

Distinct201
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.912219
Minimum0
Maximum8.93
Zeros3813
Zeros (%)38.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:03.632981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7.45
Q38.01
95-th percentile8.7
Maximum8.93
Range8.93
Interquartile range (IQR)8.01

Descriptive statistics

Standard deviation3.8759265
Coefficient of variation (CV)0.7890378
Kurtosis-1.7485881
Mean4.912219
Median Absolute Deviation (MAD)1.08
Skewness-0.45792843
Sum49122.19
Variance15.022806
MonotonicityNot monotonic
2023-12-13T09:15:03.748211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3813
38.1%
8.69 100
 
1.0%
8.71 90
 
0.9%
8.68 83
 
0.8%
7.87 82
 
0.8%
8.7 81
 
0.8%
7.96 79
 
0.8%
8.66 78
 
0.8%
7.86 70
 
0.7%
8.72 70
 
0.7%
Other values (191) 5454
54.5%
ValueCountFrequency (%)
0.0 3813
38.1%
6.81 1
 
< 0.1%
6.84 1
 
< 0.1%
6.85 1
 
< 0.1%
6.86 2
 
< 0.1%
6.87 1
 
< 0.1%
6.88 1
 
< 0.1%
6.89 1
 
< 0.1%
6.9 3
 
< 0.1%
6.91 3
 
< 0.1%
ValueCountFrequency (%)
8.93 1
 
< 0.1%
8.91 1
 
< 0.1%
8.81 2
 
< 0.1%
8.8 12
 
0.1%
8.79 22
 
0.2%
8.78 23
 
0.2%
8.77 36
0.4%
8.76 63
0.6%
8.75 56
0.6%
8.74 56
0.6%

용존산소량
Real number (ℝ)

ZEROS 

Distinct1277
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.267362
Minimum0
Maximum22.71
Zeros833
Zeros (%)8.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:03.846847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.13
median4.88
Q38.51
95-th percentile10.98
Maximum22.71
Range22.71
Interquartile range (IQR)6.38

Descriptive statistics

Standard deviation3.6552839
Coefficient of variation (CV)0.69394962
Kurtosis-0.92678209
Mean5.267362
Median Absolute Deviation (MAD)3.07
Skewness0.25504537
Sum52673.62
Variance13.3611
MonotonicityNot monotonic
2023-12-13T09:15:03.945539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 833
 
8.3%
2.11 20
 
0.2%
2.45 20
 
0.2%
10.46 18
 
0.2%
2.49 18
 
0.2%
3.39 18
 
0.2%
4.14 18
 
0.2%
4.46 17
 
0.2%
4.16 17
 
0.2%
10.48 16
 
0.2%
Other values (1267) 9005
90.0%
ValueCountFrequency (%)
0.0 833
8.3%
0.01 2
 
< 0.1%
0.02 6
 
0.1%
0.03 3
 
< 0.1%
0.04 2
 
< 0.1%
0.05 3
 
< 0.1%
0.06 5
 
0.1%
0.07 2
 
< 0.1%
0.08 2
 
< 0.1%
0.09 5
 
0.1%
ValueCountFrequency (%)
22.71 1
< 0.1%
22.18 1
< 0.1%
21.39 1
< 0.1%
21.23 1
< 0.1%
20.64 1
< 0.1%
18.69 1
< 0.1%
17.69 1
< 0.1%
16.98 1
< 0.1%
16.83 1
< 0.1%
16.63 1
< 0.1%

탁도
Real number (ℝ)

ZEROS 

Distinct248
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.6922
Minimum0
Maximum400
Zeros862
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:04.050789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q329
95-th percentile73
Maximum400
Range400
Interquartile range (IQR)24

Descriptive statistics

Standard deviation34.341086
Coefficient of variation (CV)1.449468
Kurtosis28.100652
Mean23.6922
Median Absolute Deviation (MAD)11
Skewness4.4990488
Sum236922
Variance1179.3102
MonotonicityNot monotonic
2023-12-13T09:15:04.183012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 862
 
8.6%
5 407
 
4.1%
4 392
 
3.9%
6 382
 
3.8%
3 369
 
3.7%
2 337
 
3.4%
7 322
 
3.2%
8 303
 
3.0%
9 298
 
3.0%
10 240
 
2.4%
Other values (238) 6088
60.9%
ValueCountFrequency (%)
0 862
8.6%
1 221
 
2.2%
2 337
 
3.4%
3 369
3.7%
4 392
3.9%
5 407
4.1%
6 382
3.8%
7 322
 
3.2%
8 303
 
3.0%
9 298
 
3.0%
ValueCountFrequency (%)
400 1
< 0.1%
366 1
< 0.1%
342 1
< 0.1%
337 1
< 0.1%
334 1
< 0.1%
333 1
< 0.1%
329 1
< 0.1%
327 1
< 0.1%
321 1
< 0.1%
320 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

2023-12-13T09:15:04.290132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:04.355387image/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

2023-12-13T09:15:04.421933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:04.488451image/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

2023-12-13T09:15:04.556203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:04.619595image/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

2023-12-13T09:15:04.692914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:04.757517image/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

2023-12-13T09:15:04.830267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:04.897701image/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

2023-12-13T09:15:04.970129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:05.035584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

염분
Real number (ℝ)

ZEROS 

Distinct1511
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.951314
Minimum0
Maximum32.53
Zeros806
Zeros (%)8.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:05.110619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q126.75
median29.35
Q330.98
95-th percentile32.03
Maximum32.53
Range32.53
Interquartile range (IQR)4.23

Descriptive statistics

Standard deviation9.0667342
Coefficient of variation (CV)0.34937476
Kurtosis3.3094393
Mean25.951314
Median Absolute Deviation (MAD)1.9
Skewness-2.155082
Sum259513.14
Variance82.205668
MonotonicityNot monotonic
2023-12-13T09:15:05.216081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 806
 
8.1%
29.35 32
 
0.3%
31.3 32
 
0.3%
29.36 31
 
0.3%
29.29 31
 
0.3%
29.32 30
 
0.3%
31.34 29
 
0.3%
31.91 28
 
0.3%
31.94 28
 
0.3%
31.61 27
 
0.3%
Other values (1501) 8926
89.3%
ValueCountFrequency (%)
0.0 806
8.1%
0.21 1
 
< 0.1%
0.22 1
 
< 0.1%
0.23 1
 
< 0.1%
0.25 3
 
< 0.1%
0.26 1
 
< 0.1%
0.3 1
 
< 0.1%
0.31 2
 
< 0.1%
0.34 2
 
< 0.1%
0.38 1
 
< 0.1%
ValueCountFrequency (%)
32.53 1
 
< 0.1%
32.52 1
 
< 0.1%
32.5 2
 
< 0.1%
32.48 1
 
< 0.1%
32.47 3
< 0.1%
32.45 3
< 0.1%
32.44 2
 
< 0.1%
32.43 5
0.1%
32.41 3
< 0.1%
32.4 2
 
< 0.1%

클로로필
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

2023-12-13T09:15:05.321075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:05.387855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

화학적산소요구량
Real number (ℝ)

ZEROS 

Distinct708
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.615474
Minimum0
Maximum27.54
Zeros1682
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:05.459941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.6
median2.58
Q33.52
95-th percentile5.6
Maximum27.54
Range27.54
Interquartile range (IQR)1.92

Descriptive statistics

Standard deviation1.9975133
Coefficient of variation (CV)0.763729
Kurtosis27.151711
Mean2.615474
Median Absolute Deviation (MAD)0.96
Skewness2.9555929
Sum26154.74
Variance3.9900595
MonotonicityNot monotonic
2023-12-13T09:15:05.557364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1682
 
16.8%
2.21 76
 
0.8%
2.82 51
 
0.5%
2.85 50
 
0.5%
2.51 48
 
0.5%
3.64 48
 
0.5%
2.12 47
 
0.5%
2.41 46
 
0.5%
2.75 44
 
0.4%
2.22 43
 
0.4%
Other values (698) 7865
78.6%
ValueCountFrequency (%)
0.0 1682
16.8%
0.34 4
 
< 0.1%
0.36 2
 
< 0.1%
0.37 1
 
< 0.1%
0.38 3
 
< 0.1%
0.42 1
 
< 0.1%
0.43 1
 
< 0.1%
0.44 2
 
< 0.1%
0.46 2
 
< 0.1%
0.47 2
 
< 0.1%
ValueCountFrequency (%)
27.54 1
 
< 0.1%
26.81 2
< 0.1%
26.65 3
< 0.1%
25.94 3
< 0.1%
23.8 3
< 0.1%
20.67 2
< 0.1%
19.74 2
< 0.1%
19.4 1
 
< 0.1%
18.91 1
 
< 0.1%
17.48 1
 
< 0.1%

총질소
Real number (ℝ)

ZEROS 

Distinct1315
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5417228
Minimum0
Maximum5.176
Zeros1178
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:05.661418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.255
median0.431
Q30.662
95-th percentile1.38405
Maximum5.176
Range5.176
Interquartile range (IQR)0.407

Descriptive statistics

Standard deviation0.55318287
Coefficient of variation (CV)1.0211549
Kurtosis17.265046
Mean0.5417228
Median Absolute Deviation (MAD)0.196
Skewness3.429338
Sum5417.228
Variance0.30601128
MonotonicityNot monotonic
2023-12-13T09:15:05.797624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1178
 
11.8%
0.381 31
 
0.3%
0.315 30
 
0.3%
0.395 29
 
0.3%
0.435 27
 
0.3%
0.437 27
 
0.3%
0.486 27
 
0.3%
0.535 27
 
0.3%
0.328 26
 
0.3%
0.462 26
 
0.3%
Other values (1305) 8572
85.7%
ValueCountFrequency (%)
0.0 1178
11.8%
0.043 2
 
< 0.1%
0.047 5
 
0.1%
0.055 1
 
< 0.1%
0.06 1
 
< 0.1%
0.061 2
 
< 0.1%
0.066 3
 
< 0.1%
0.067 3
 
< 0.1%
0.068 1
 
< 0.1%
0.069 3
 
< 0.1%
ValueCountFrequency (%)
5.176 1
 
< 0.1%
4.992 3
< 0.1%
4.781 3
< 0.1%
4.773 1
 
< 0.1%
4.656 2
< 0.1%
4.521 2
< 0.1%
4.518 3
< 0.1%
4.516 1
 
< 0.1%
4.468 2
< 0.1%
4.431 1
 
< 0.1%

총인
Real number (ℝ)

ZEROS 

Distinct223
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0740354
Minimum0
Maximum0.403
Zeros1123
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:05.920377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.045
median0.07
Q30.096
95-th percentile0.159
Maximum0.403
Range0.403
Interquartile range (IQR)0.051

Descriptive statistics

Standard deviation0.047251889
Coefficient of variation (CV)0.63823372
Kurtosis3.0083227
Mean0.0740354
Median Absolute Deviation (MAD)0.025
Skewness1.0317366
Sum740.354
Variance0.002232741
MonotonicityNot monotonic
2023-12-13T09:15:06.040192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1123
 
11.2%
0.044 167
 
1.7%
0.039 161
 
1.6%
0.041 158
 
1.6%
0.052 156
 
1.6%
0.079 143
 
1.4%
0.043 141
 
1.4%
0.04 136
 
1.4%
0.087 134
 
1.3%
0.042 134
 
1.3%
Other values (213) 7547
75.5%
ValueCountFrequency (%)
0.0 1123
11.2%
0.026 3
 
< 0.1%
0.027 1
 
< 0.1%
0.029 4
 
< 0.1%
0.03 4
 
< 0.1%
0.031 13
 
0.1%
0.032 28
 
0.3%
0.033 33
 
0.3%
0.034 41
 
0.4%
0.035 51
 
0.5%
ValueCountFrequency (%)
0.403 3
< 0.1%
0.387 2
< 0.1%
0.354 1
 
< 0.1%
0.347 2
< 0.1%
0.332 1
 
< 0.1%
0.317 3
< 0.1%
0.312 3
< 0.1%
0.302 2
< 0.1%
0.301 2
< 0.1%
0.294 1
 
< 0.1%

암모니아질소
Real number (ℝ)

ZEROS 

Distinct486
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0951643
Minimum0
Maximum1.005
Zeros1030
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:06.150064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.031
median0.061
Q30.117
95-th percentile0.3
Maximum1.005
Range1.005
Interquartile range (IQR)0.086

Descriptive statistics

Standard deviation0.11179455
Coefficient of variation (CV)1.174753
Kurtosis11.749968
Mean0.0951643
Median Absolute Deviation (MAD)0.037
Skewness2.9185088
Sum951.643
Variance0.012498021
MonotonicityNot monotonic
2023-12-13T09:15:06.255407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1030
 
10.3%
0.036 114
 
1.1%
0.041 110
 
1.1%
0.049 108
 
1.1%
0.03 107
 
1.1%
0.025 107
 
1.1%
0.051 107
 
1.1%
0.027 104
 
1.0%
0.031 104
 
1.0%
0.034 99
 
1.0%
Other values (476) 8010
80.1%
ValueCountFrequency (%)
0.0 1030
10.3%
0.001 11
 
0.1%
0.002 16
 
0.2%
0.003 17
 
0.2%
0.004 10
 
0.1%
0.005 14
 
0.1%
0.006 16
 
0.2%
0.007 19
 
0.2%
0.008 28
 
0.3%
0.009 21
 
0.2%
ValueCountFrequency (%)
1.005 3
< 0.1%
0.968 1
 
< 0.1%
0.955 2
< 0.1%
0.939 2
< 0.1%
0.926 2
< 0.1%
0.901 1
 
< 0.1%
0.889 1
 
< 0.1%
0.826 2
< 0.1%
0.803 1
 
< 0.1%
0.779 1
 
< 0.1%

질산질소
Real number (ℝ)

ZEROS 

Distinct752
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1929295
Minimum0
Maximum4.674
Zeros1151
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:06.584956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.052
median0.127
Q30.229
95-th percentile0.556
Maximum4.674
Range4.674
Interquartile range (IQR)0.177

Descriptive statistics

Standard deviation0.2917928
Coefficient of variation (CV)1.5124323
Kurtosis51.47318
Mean0.1929295
Median Absolute Deviation (MAD)0.086
Skewness5.8353601
Sum1929.295
Variance0.085143037
MonotonicityNot monotonic
2023-12-13T09:15:06.682157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1151
 
11.5%
0.083 60
 
0.6%
0.071 60
 
0.6%
0.103 59
 
0.6%
0.135 58
 
0.6%
0.184 53
 
0.5%
0.085 50
 
0.5%
0.139 49
 
0.5%
0.153 49
 
0.5%
0.026 47
 
0.5%
Other values (742) 8364
83.6%
ValueCountFrequency (%)
0.0 1151
11.5%
0.001 2
 
< 0.1%
0.002 12
 
0.1%
0.003 13
 
0.1%
0.004 11
 
0.1%
0.005 25
 
0.2%
0.006 17
 
0.2%
0.007 12
 
0.1%
0.008 24
 
0.2%
0.009 21
 
0.2%
ValueCountFrequency (%)
4.674 2
< 0.1%
4.563 1
 
< 0.1%
3.832 2
< 0.1%
3.699 1
 
< 0.1%
3.533 1
 
< 0.1%
3.468 3
< 0.1%
3.432 1
 
< 0.1%
3.205 2
< 0.1%
3.088 1
 
< 0.1%
2.918 2
< 0.1%

남조류
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

2023-12-13T09:15:06.769972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T09:15:06.836098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

인산성인
Real number (ℝ)

ZEROS 

Distinct185
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0450826
Minimum0
Maximum0.194
Zeros764
Zeros (%)7.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T09:15:06.912197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.014
median0.04
Q30.065
95-th percentile0.116
Maximum0.194
Range0.194
Interquartile range (IQR)0.051

Descriptive statistics

Standard deviation0.035662445
Coefficient of variation (CV)0.79104676
Kurtosis0.88598174
Mean0.0450826
Median Absolute Deviation (MAD)0.026
Skewness0.97394426
Sum450.826
Variance0.00127181
MonotonicityNot monotonic
2023-12-13T09:15:07.029096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 764
 
7.6%
0.01 254
 
2.5%
0.011 236
 
2.4%
0.012 219
 
2.2%
0.009 203
 
2.0%
0.008 196
 
2.0%
0.014 192
 
1.9%
0.013 182
 
1.8%
0.065 157
 
1.6%
0.037 144
 
1.4%
Other values (175) 7453
74.5%
ValueCountFrequency (%)
0.0 764
7.6%
0.002 9
 
0.1%
0.003 18
 
0.2%
0.004 47
 
0.5%
0.005 49
 
0.5%
0.006 111
 
1.1%
0.007 140
 
1.4%
0.008 196
 
2.0%
0.009 203
 
2.0%
0.01 254
 
2.5%
ValueCountFrequency (%)
0.194 1
 
< 0.1%
0.193 3
< 0.1%
0.192 3
< 0.1%
0.19 2
< 0.1%
0.187 2
< 0.1%
0.186 2
< 0.1%
0.184 2
< 0.1%
0.183 1
 
< 0.1%
0.181 1
 
< 0.1%
0.18 4
< 0.1%

Sample

정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
28207마산양덕2172022-04-08 22:3538.414.760.07.995700000031.1102.360.3470.0750.0870.07500.032
30848마산양덕2172022-04-18 02:4039.0616.060.05.072600000030.6803.90.4850.0580.090.14500.028
17557마산양덕2172022-03-02 23:0532.267.080.08.553400000031.6101.450.3140.040.0330.07200.008
56591마산양덕2172022-07-16 11:5546.4327.817.715.351400000028.3504.060.4460.1130.0430.11800.077
75037마산양덕2172022-09-18 15:1546.1429.747.781.55200000027.0402.390.4540.0970.010.28200.062
62057마산양덕2172022-08-04 12:2522.2130.197.594.111800000011.9804.211.1140.1280.1380.39900.103
19152마산양덕2172022-03-08 12:0033.588.560.010.592400000031.6702.190.2650.0360.0390.0400.009
88091마산양덕2172022-11-02 23:0538.4818.227.911.04100000028.5803.00.8470.0880.1760.56200.061
12504마산양덕2172022-02-13 10:0031.566.730.08.791700000031.1802.750.3330.0460.00.10100.014
82421마산양덕2172022-10-14 06:3540.0119.977.892.33100000028.6302.740.5910.0880.2250.27900.072
정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
50137마산양덕2172022-06-24 02:0545.8524.87.061.39600000029.8404.70.7170.1590.3040.25100.099
34643마산양덕2172022-05-01 06:5538.4215.340.07.061300000030.6602.770.2690.0710.00.09500.041
9330마산양덕2172022-02-02 09:3032.356.528.7510.385000000032.2302.280.1580.0390.0270.00400.008
63296마산양덕2172022-08-08 19:4536.7430.567.832.542300000020.6500.00.7130.1410.0840.43700.082
23691마산양덕2172022-03-24 06:1532.369.050.07.962200000029.9904.630.5910.0730.0870.09600.02
35258마산양덕2172022-05-03 10:1038.9916.910.08.211200000029.9700.00.4410.0860.0870.09700.054
91854마산양덕2172022-11-16 00:4037.4215.918.35.492000000029.5600.620.4120.0540.0690.12600.038
56452마산양덕2172022-07-16 00:2043.527.827.614.05700000026.3603.980.7050.1630.00.15800.0
35238마산양덕2172022-05-03 08:3038.5616.030.08.62800000030.2602.950.4150.0750.0670.07500.043
51791마산양덕2172022-06-29 19:550.5223.297.124.2320000000.2606.973.6750.1610.2261.29200.122