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

Categorical6
DateTime1
Numeric16

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/15044192/fileData.do

Alerts

정점명 has constant value ""Constant
정점코드 has constant value ""Constant
기온 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 1072 (10.7%) zerosZeros
수온 has 1078 (10.8%) zerosZeros
수소이온농도 has 1049 (10.5%) zerosZeros
용존산소량 has 1075 (10.8%) zerosZeros
탁도 has 1097 (11.0%) zerosZeros
일사량 has 859 (8.6%) zerosZeros
상대습도 has 138 (1.4%) zerosZeros
풍속 has 255 (2.5%) zerosZeros
풍향 has 184 (1.8%) zerosZeros
염분 has 1074 (10.7%) zerosZeros
화학적산소요구량 has 1748 (17.5%) zerosZeros
총질소 has 1568 (15.7%) zerosZeros
총인 has 1457 (14.6%) zerosZeros
암모니아질소 has 1626 (16.3%) zerosZeros
질산질소 has 1123 (11.2%) zerosZeros
인산성인 has 1093 (10.9%) zerosZeros

Reproduction

Analysis started2023-12-12 20:50:57.537975
Analysis finished2023-12-12 20:50:58.260652
Duration0.72 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
마산봉암
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
마산봉암 10000
100.0%

Length

2023-12-13T05:50:58.341513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:50:58.443226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
마산봉암 10000
100.0%

정점코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
216
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row216
2nd row216
3rd row216
4th row216
5th row216

Common Values

ValueCountFrequency (%)
216 10000
100.0%

Length

2023-12-13T05:50:58.549532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:50:58.639733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
216 10000
100.0%

관측일자
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:25:00
Maximum2022-10-19 12:10:00
2023-12-13T05:50:58.740836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:50:58.897774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전기전도도
Real number (ℝ)

ZEROS 

Distinct2300
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.917131
Minimum0
Maximum49.11
Zeros1072
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:50:59.042455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129.2375
median34.145
Q338.69
95-th percentile42.75
Maximum49.11
Range49.11
Interquartile range (IQR)9.4525

Descriptive statistics

Standard deviation12.203767
Coefficient of variation (CV)0.39472507
Kurtosis1.7683915
Mean30.917131
Median Absolute Deviation (MAD)4.685
Skewness-1.6417031
Sum309171.31
Variance148.93192
MonotonicityNot monotonic
2023-12-13T05:50:59.189967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1072
 
10.7%
38.55 15
 
0.1%
30.55 14
 
0.1%
38.56 14
 
0.1%
30.1 14
 
0.1%
36.91 14
 
0.1%
39.45 14
 
0.1%
30.29 14
 
0.1%
29.46 13
 
0.1%
38.73 13
 
0.1%
Other values (2290) 8803
88.0%
ValueCountFrequency (%)
0.0 1072
10.7%
1.15 1
 
< 0.1%
1.35 1
 
< 0.1%
1.82 1
 
< 0.1%
1.92 2
 
< 0.1%
2.05 1
 
< 0.1%
2.09 1
 
< 0.1%
2.34 1
 
< 0.1%
2.36 1
 
< 0.1%
2.45 1
 
< 0.1%
ValueCountFrequency (%)
49.11 1
< 0.1%
49.05 1
< 0.1%
48.63 1
< 0.1%
48.56 1
< 0.1%
48.47 1
< 0.1%
48.4 1
< 0.1%
47.96 1
< 0.1%
47.75 1
< 0.1%
47.66 1
< 0.1%
47.52 1
< 0.1%

수온
Real number (ℝ)

ZEROS 

Distinct2426
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.477241
Minimum0
Maximum33.92
Zeros1078
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:50:59.349414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.48
median19.275
Q324.65
95-th percentile28.9405
Maximum33.92
Range33.92
Interquartile range (IQR)17.17

Descriptive statistics

Standard deviation9.4974327
Coefficient of variation (CV)0.57639702
Kurtosis-1.2450469
Mean16.477241
Median Absolute Deviation (MAD)7.715
Skewness-0.31958379
Sum164772.41
Variance90.201228
MonotonicityNot monotonic
2023-12-13T05:50:59.522513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1078
 
10.8%
22.78 17
 
0.2%
7.14 17
 
0.2%
7.32 16
 
0.2%
27.03 16
 
0.2%
7.39 16
 
0.2%
7.02 15
 
0.1%
7.03 15
 
0.1%
6.8 15
 
0.1%
6.84 15
 
0.1%
Other values (2416) 8780
87.8%
ValueCountFrequency (%)
0.0 1078
10.8%
4.14 1
 
< 0.1%
4.39 1
 
< 0.1%
4.42 2
 
< 0.1%
4.49 1
 
< 0.1%
4.57 1
 
< 0.1%
4.6 1
 
< 0.1%
4.62 1
 
< 0.1%
4.64 1
 
< 0.1%
4.66 1
 
< 0.1%
ValueCountFrequency (%)
33.92 2
< 0.1%
33.91 1
< 0.1%
33.8 1
< 0.1%
33.77 1
< 0.1%
33.75 1
< 0.1%
33.55 1
< 0.1%
33.36 1
< 0.1%
33.3 1
< 0.1%
33.19 1
< 0.1%
33.14 1
< 0.1%

수소이온농도
Real number (ℝ)

ZEROS 

Distinct319
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.456098
Minimum0
Maximum11.07
Zeros1049
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:50:59.665333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.95
median8.29
Q38.48
95-th percentile9
Maximum11.07
Range11.07
Interquartile range (IQR)0.53

Descriptive statistics

Standard deviation2.5848032
Coefficient of variation (CV)0.34666969
Kurtosis4.3062031
Mean7.456098
Median Absolute Deviation (MAD)0.26
Skewness-2.4546065
Sum74560.98
Variance6.6812074
MonotonicityNot monotonic
2023-12-13T05:50:59.807010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1049
 
10.5%
8.39 158
 
1.6%
8.43 156
 
1.6%
8.42 150
 
1.5%
8.38 150
 
1.5%
8.44 147
 
1.5%
8.41 143
 
1.4%
8.4 136
 
1.4%
8.37 134
 
1.3%
8.46 133
 
1.3%
Other values (309) 7644
76.4%
ValueCountFrequency (%)
0.0 1049
10.5%
6.99 1
 
< 0.1%
7.01 2
 
< 0.1%
7.02 1
 
< 0.1%
7.04 2
 
< 0.1%
7.08 1
 
< 0.1%
7.12 1
 
< 0.1%
7.17 1
 
< 0.1%
7.18 2
 
< 0.1%
7.19 2
 
< 0.1%
ValueCountFrequency (%)
11.07 1
< 0.1%
11.06 1
< 0.1%
11.05 1
< 0.1%
11.01 1
< 0.1%
10.97 1
< 0.1%
10.92 1
< 0.1%
10.83 1
< 0.1%
10.79 1
< 0.1%
10.75 1
< 0.1%
10.72 1
< 0.1%

용존산소량
Real number (ℝ)

ZEROS 

Distinct1200
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.19712
Minimum0
Maximum25.85
Zeros1075
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:50:59.935979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.75
median5.205
Q37.8
95-th percentile9.24
Maximum25.85
Range25.85
Interquartile range (IQR)5.05

Descriptive statistics

Standard deviation3.292197
Coefficient of variation (CV)0.63346565
Kurtosis2.0572667
Mean5.19712
Median Absolute Deviation (MAD)2.555
Skewness0.55183502
Sum51971.2
Variance10.838561
MonotonicityNot monotonic
2023-12-13T05:51:00.314383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1075
 
10.8%
8.24 27
 
0.3%
7.86 26
 
0.3%
8.17 26
 
0.3%
7.78 24
 
0.2%
8.25 23
 
0.2%
8.23 23
 
0.2%
7.7 22
 
0.2%
8.65 22
 
0.2%
8.7 22
 
0.2%
Other values (1190) 8710
87.1%
ValueCountFrequency (%)
0.0 1075
10.8%
0.04 1
 
< 0.1%
0.08 1
 
< 0.1%
0.1 1
 
< 0.1%
0.11 1
 
< 0.1%
0.16 1
 
< 0.1%
0.2 1
 
< 0.1%
0.22 1
 
< 0.1%
0.23 1
 
< 0.1%
0.24 2
 
< 0.1%
ValueCountFrequency (%)
25.85 1
< 0.1%
25.42 1
< 0.1%
24.95 1
< 0.1%
23.87 1
< 0.1%
23.39 1
< 0.1%
23.34 1
< 0.1%
23.0 1
< 0.1%
22.98 1
< 0.1%
22.97 1
< 0.1%
22.92 1
< 0.1%

탁도
Real number (ℝ)

ZEROS 

Distinct282
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.0517
Minimum0
Maximum432
Zeros1097
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:00.448147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q323
95-th percentile77
Maximum432
Range432
Interquartile range (IQR)18

Descriptive statistics

Standard deviation56.263695
Coefficient of variation (CV)2.1596938
Kurtosis30.286378
Mean26.0517
Median Absolute Deviation (MAD)6
Skewness5.2503483
Sum260517
Variance3165.6034
MonotonicityNot monotonic
2023-12-13T05:51:00.558784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1097
 
11.0%
8 668
 
6.7%
7 636
 
6.4%
4 555
 
5.5%
9 532
 
5.3%
6 501
 
5.0%
5 475
 
4.8%
10 393
 
3.9%
3 392
 
3.9%
11 306
 
3.1%
Other values (272) 4445
44.5%
ValueCountFrequency (%)
0 1097
11.0%
1 1
 
< 0.1%
2 43
 
0.4%
3 392
 
3.9%
4 555
5.5%
5 475
4.8%
6 501
5.0%
7 636
6.4%
8 668
6.7%
9 532
5.3%
ValueCountFrequency (%)
432 1
 
< 0.1%
431 2
< 0.1%
429 3
< 0.1%
428 1
 
< 0.1%
427 1
 
< 0.1%
425 1
 
< 0.1%
424 1
 
< 0.1%
423 4
< 0.1%
421 1
 
< 0.1%
419 3
< 0.1%

일사량
Real number (ℝ)

ZEROS 

Distinct1934
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.106134
Minimum0
Maximum667
Zeros859
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:00.682012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.72
median2.89
Q3108.425
95-th percentile387.6
Maximum667
Range667
Interquartile range (IQR)107.705

Descriptive statistics

Standard deviation131.06549
Coefficient of variation (CV)1.6159751
Kurtosis1.8475957
Mean81.106134
Median Absolute Deviation (MAD)2.89
Skewness1.7035194
Sum811061.34
Variance17178.163
MonotonicityNot monotonic
2023-12-13T05:51:00.820702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.36 939
 
9.4%
0.72 890
 
8.9%
0.0 859
 
8.6%
1.45 603
 
6.0%
1.09 498
 
5.0%
1.81 441
 
4.4%
2.17 299
 
3.0%
1.08 209
 
2.1%
2.53 171
 
1.7%
2.89 89
 
0.9%
Other values (1924) 5002
50.0%
ValueCountFrequency (%)
0.0 859
8.6%
0.18 1
 
< 0.1%
0.36 939
9.4%
0.54 1
 
< 0.1%
0.72 890
8.9%
0.9 3
 
< 0.1%
1.08 209
 
2.1%
1.09 498
5.0%
1.27 1
 
< 0.1%
1.45 603
6.0%
ValueCountFrequency (%)
667.0 1
< 0.1%
649.6 1
< 0.1%
643.5 1
< 0.1%
629.4 1
< 0.1%
628.6 1
< 0.1%
621.8 1
< 0.1%
620.7 1
< 0.1%
619.9 1
< 0.1%
614.5 1
< 0.1%
612.7 1
< 0.1%

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

2023-12-13T05:51:00.953703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:01.050335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

상대습도
Real number (ℝ)

ZEROS 

Distinct3699
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.189904
Minimum0
Maximum100
Zeros138
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:01.164621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23.8095
Q146.2975
median63.825
Q378.825
95-th percentile90.3
Maximum100
Range100
Interquartile range (IQR)32.5275

Descriptive statistics

Standard deviation21.479517
Coefficient of variation (CV)0.35103041
Kurtosis-0.39567553
Mean61.189904
Median Absolute Deviation (MAD)16.075
Skewness-0.49402505
Sum611899.04
Variance461.36965
MonotonicityNot monotonic
2023-12-13T05:51:01.334987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 138
 
1.4%
100.0 107
 
1.1%
86.5 28
 
0.3%
78.4 28
 
0.3%
79.3 27
 
0.3%
81.0 27
 
0.3%
78.2 27
 
0.3%
79.5 26
 
0.3%
89.7 26
 
0.3%
80.3 26
 
0.3%
Other values (3689) 9540
95.4%
ValueCountFrequency (%)
0.0 138
1.4%
12.75 1
 
< 0.1%
12.95 1
 
< 0.1%
13.09 2
 
< 0.1%
13.22 1
 
< 0.1%
13.34 1
 
< 0.1%
13.6 1
 
< 0.1%
13.84 1
 
< 0.1%
13.9 1
 
< 0.1%
13.95 1
 
< 0.1%
ValueCountFrequency (%)
100.0 107
1.1%
99.9 3
 
< 0.1%
99.7 2
 
< 0.1%
99.5 1
 
< 0.1%
99.4 1
 
< 0.1%
99.1 1
 
< 0.1%
98.9 2
 
< 0.1%
98.8 1
 
< 0.1%
98.7 1
 
< 0.1%
98.6 1
 
< 0.1%

풍속
Real number (ℝ)

ZEROS 

Distinct922
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.832806
Minimum0
Maximum13.27
Zeros255
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:01.482621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.01
Q10.32
median1.09
Q32.59
95-th percentile6.26
Maximum13.27
Range13.27
Interquartile range (IQR)2.27

Descriptive statistics

Standard deviation2.0904315
Coefficient of variation (CV)1.1405634
Kurtosis3.1307146
Mean1.832806
Median Absolute Deviation (MAD)0.92
Skewness1.7426843
Sum18328.06
Variance4.3699039
MonotonicityNot monotonic
2023-12-13T05:51:01.620191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01 522
 
5.2%
0.0 255
 
2.5%
0.02 122
 
1.2%
0.05 94
 
0.9%
0.03 90
 
0.9%
0.04 78
 
0.8%
0.06 75
 
0.8%
0.09 74
 
0.7%
0.12 72
 
0.7%
0.08 70
 
0.7%
Other values (912) 8548
85.5%
ValueCountFrequency (%)
0.0 255
2.5%
0.01 522
5.2%
0.02 122
 
1.2%
0.03 90
 
0.9%
0.04 78
 
0.8%
0.05 94
 
0.9%
0.06 75
 
0.8%
0.07 51
 
0.5%
0.08 70
 
0.7%
0.09 74
 
0.7%
ValueCountFrequency (%)
13.27 1
< 0.1%
13.16 1
< 0.1%
12.79 1
< 0.1%
12.16 1
< 0.1%
12.15 1
< 0.1%
11.86 1
< 0.1%
11.64 1
< 0.1%
11.63 1
< 0.1%
11.55 1
< 0.1%
11.49 1
< 0.1%

풍향
Real number (ℝ)

ZEROS 

Distinct4566
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.63104
Minimum0
Maximum360
Zeros184
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:01.775413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.5195
Q163.4975
median207.9
Q3263.4
95-th percentile336.3
Maximum360
Range360
Interquartile range (IQR)199.9025

Descriptive statistics

Standard deviation109.35845
Coefficient of variation (CV)0.62622571
Kurtosis-1.4569475
Mean174.63104
Median Absolute Deviation (MAD)97.2
Skewness-0.12342183
Sum1746310.4
Variance11959.27
MonotonicityNot monotonic
2023-12-13T05:51:01.920981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 184
 
1.8%
258.0 16
 
0.2%
262.7 16
 
0.2%
274.2 14
 
0.1%
253.4 14
 
0.1%
252.4 14
 
0.1%
264.5 14
 
0.1%
262.9 13
 
0.1%
245.2 13
 
0.1%
256.6 12
 
0.1%
Other values (4556) 9690
96.9%
ValueCountFrequency (%)
0.0 184
1.8%
0.1 2
 
< 0.1%
0.11 1
 
< 0.1%
0.13 2
 
< 0.1%
0.17 1
 
< 0.1%
0.19 1
 
< 0.1%
0.3 1
 
< 0.1%
0.37 1
 
< 0.1%
0.38 1
 
< 0.1%
0.41 1
 
< 0.1%
ValueCountFrequency (%)
360.0 1
 
< 0.1%
359.9 2
< 0.1%
359.8 1
 
< 0.1%
359.7 1
 
< 0.1%
359.6 3
< 0.1%
359.4 2
< 0.1%
359.3 1
 
< 0.1%
359.2 2
< 0.1%
359.1 1
 
< 0.1%
359.0 2
< 0.1%

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

2023-12-13T05:51:02.043186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:02.123408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

염분
Real number (ℝ)

ZEROS 

Distinct1793
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.01968
Minimum0
Maximum32.28
Zeros1074
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:02.216914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q122.08
median26.63
Q328.6
95-th percentile30.63
Maximum32.28
Range32.28
Interquartile range (IQR)6.52

Descriptive statistics

Standard deviation9.1682213
Coefficient of variation (CV)0.39827753
Kurtosis1.6471815
Mean23.01968
Median Absolute Deviation (MAD)2.58
Skewness-1.7102523
Sum230196.8
Variance84.056281
MonotonicityNot monotonic
2023-12-13T05:51:02.340422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1074
 
10.7%
26.76 25
 
0.2%
27.29 24
 
0.2%
27.85 24
 
0.2%
27.27 22
 
0.2%
28.39 22
 
0.2%
29.09 22
 
0.2%
28.26 21
 
0.2%
28.0 21
 
0.2%
28.03 20
 
0.2%
Other values (1783) 8725
87.2%
ValueCountFrequency (%)
0.0 1074
10.7%
0.56 1
 
< 0.1%
0.66 1
 
< 0.1%
0.92 1
 
< 0.1%
0.97 2
 
< 0.1%
1.02 1
 
< 0.1%
1.07 1
 
< 0.1%
1.21 1
 
< 0.1%
1.22 1
 
< 0.1%
1.27 2
 
< 0.1%
ValueCountFrequency (%)
32.28 1
< 0.1%
32.27 1
< 0.1%
32.25 1
< 0.1%
32.24 2
< 0.1%
32.21 1
< 0.1%
32.19 1
< 0.1%
32.16 1
< 0.1%
32.14 2
< 0.1%
32.11 1
< 0.1%
32.1 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

2023-12-13T05:51:02.456621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:02.537215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

화학적산소요구량
Real number (ℝ)

ZEROS 

Distinct495
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.308185
Minimum0
Maximum8.21
Zeros1748
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:02.644417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.62
median2.45
Q33.21
95-th percentile4.4005
Maximum8.21
Range8.21
Interquartile range (IQR)1.59

Descriptive statistics

Standard deviation1.39123
Coefficient of variation (CV)0.60273765
Kurtosis-0.13793479
Mean2.308185
Median Absolute Deviation (MAD)0.8
Skewness-0.098390434
Sum23081.85
Variance1.9355209
MonotonicityNot monotonic
2023-12-13T05:51:02.815376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1748
 
17.5%
2.53 64
 
0.6%
2.74 56
 
0.6%
2.62 50
 
0.5%
1.93 48
 
0.5%
2.64 47
 
0.5%
2.76 47
 
0.5%
2.78 46
 
0.5%
2.44 46
 
0.5%
2.42 45
 
0.4%
Other values (485) 7803
78.0%
ValueCountFrequency (%)
0.0 1748
17.5%
0.42 2
 
< 0.1%
0.44 4
 
< 0.1%
0.45 2
 
< 0.1%
0.47 1
 
< 0.1%
0.48 1
 
< 0.1%
0.51 1
 
< 0.1%
0.53 1
 
< 0.1%
0.58 3
 
< 0.1%
0.6 1
 
< 0.1%
ValueCountFrequency (%)
8.21 2
 
< 0.1%
7.97 1
 
< 0.1%
7.87 1
 
< 0.1%
7.68 5
0.1%
7.45 3
< 0.1%
7.32 1
 
< 0.1%
7.08 2
 
< 0.1%
6.93 2
 
< 0.1%
6.89 6
0.1%
6.73 1
 
< 0.1%

총질소
Real number (ℝ)

ZEROS 

Distinct1146
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5083656
Minimum0
Maximum2.442
Zeros1568
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:02.997700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.302
median0.475
Q30.689
95-th percentile1.163
Maximum2.442
Range2.442
Interquartile range (IQR)0.387

Descriptive statistics

Standard deviation0.36279612
Coefficient of variation (CV)0.71365198
Kurtosis1.9718077
Mean0.5083656
Median Absolute Deviation (MAD)0.193
Skewness0.94586107
Sum5083.656
Variance0.13162102
MonotonicityNot monotonic
2023-12-13T05:51:03.144902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1568
 
15.7%
0.487 35
 
0.4%
0.448 32
 
0.3%
0.301 31
 
0.3%
0.372 29
 
0.3%
0.344 29
 
0.3%
0.521 29
 
0.3%
0.474 29
 
0.3%
0.385 28
 
0.3%
0.524 28
 
0.3%
Other values (1136) 8162
81.6%
ValueCountFrequency (%)
0.0 1568
15.7%
0.009 1
 
< 0.1%
0.016 2
 
< 0.1%
0.019 1
 
< 0.1%
0.029 1
 
< 0.1%
0.031 1
 
< 0.1%
0.036 4
 
< 0.1%
0.046 1
 
< 0.1%
0.048 1
 
< 0.1%
0.049 5
 
0.1%
ValueCountFrequency (%)
2.442 1
 
< 0.1%
2.419 2
< 0.1%
2.414 3
< 0.1%
2.268 2
< 0.1%
2.259 1
 
< 0.1%
2.244 1
 
< 0.1%
2.24 1
 
< 0.1%
2.195 1
 
< 0.1%
2.183 2
< 0.1%
2.131 2
< 0.1%

총인
Real number (ℝ)

ZEROS 

Distinct274
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0774783
Minimum0
Maximum0.557
Zeros1457
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:03.301353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.039
median0.076
Q30.106
95-th percentile0.171
Maximum0.557
Range0.557
Interquartile range (IQR)0.067

Descriptive statistics

Standard deviation0.05928892
Coefficient of variation (CV)0.76523259
Kurtosis7.6340483
Mean0.0774783
Median Absolute Deviation (MAD)0.035
Skewness1.6605313
Sum774.783
Variance0.003515176
MonotonicityNot monotonic
2023-12-13T05:51:03.444821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1457
 
14.6%
0.044 131
 
1.3%
0.041 126
 
1.3%
0.043 126
 
1.3%
0.039 117
 
1.2%
0.042 114
 
1.1%
0.04 108
 
1.1%
0.035 108
 
1.1%
0.101 108
 
1.1%
0.038 108
 
1.1%
Other values (264) 7497
75.0%
ValueCountFrequency (%)
0.0 1457
14.6%
0.02 1
 
< 0.1%
0.021 6
 
0.1%
0.022 15
 
0.1%
0.023 8
 
0.1%
0.024 31
 
0.3%
0.025 16
 
0.2%
0.026 35
 
0.4%
0.027 47
 
0.5%
0.028 44
 
0.4%
ValueCountFrequency (%)
0.557 2
< 0.1%
0.55 1
 
< 0.1%
0.549 1
 
< 0.1%
0.546 1
 
< 0.1%
0.539 3
< 0.1%
0.535 1
 
< 0.1%
0.533 3
< 0.1%
0.525 1
 
< 0.1%
0.516 2
< 0.1%
0.504 2
< 0.1%

암모니아질소
Real number (ℝ)

ZEROS 

Distinct469
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.09105
Minimum0
Maximum0.867
Zeros1626
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:03.585678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.024
median0.066
Q30.112
95-th percentile0.32
Maximum0.867
Range0.867
Interquartile range (IQR)0.088

Descriptive statistics

Standard deviation0.1057621
Coefficient of variation (CV)1.1615826
Kurtosis9.3078646
Mean0.09105
Median Absolute Deviation (MAD)0.044
Skewness2.5744
Sum910.5
Variance0.011185621
MonotonicityNot monotonic
2023-12-13T05:51:03.748226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1626
 
16.3%
0.056 99
 
1.0%
0.074 92
 
0.9%
0.071 92
 
0.9%
0.058 84
 
0.8%
0.018 79
 
0.8%
0.035 79
 
0.8%
0.065 77
 
0.8%
0.06 77
 
0.8%
0.032 75
 
0.8%
Other values (459) 7620
76.2%
ValueCountFrequency (%)
0.0 1626
16.3%
0.001 10
 
0.1%
0.002 20
 
0.2%
0.003 14
 
0.1%
0.004 17
 
0.2%
0.005 11
 
0.1%
0.006 28
 
0.3%
0.007 36
 
0.4%
0.008 29
 
0.3%
0.009 23
 
0.2%
ValueCountFrequency (%)
0.867 2
< 0.1%
0.861 3
< 0.1%
0.842 3
< 0.1%
0.835 4
< 0.1%
0.83 2
< 0.1%
0.809 3
< 0.1%
0.798 1
 
< 0.1%
0.73 1
 
< 0.1%
0.729 1
 
< 0.1%
0.717 1
 
< 0.1%

질산질소
Real number (ℝ)

ZEROS 

Distinct710
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2078434
Minimum0
Maximum1.634
Zeros1123
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:03.919013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.093
median0.173
Q30.279
95-th percentile0.53105
Maximum1.634
Range1.634
Interquartile range (IQR)0.186

Descriptive statistics

Standard deviation0.18002218
Coefficient of variation (CV)0.86614334
Kurtosis7.5343675
Mean0.2078434
Median Absolute Deviation (MAD)0.091
Skewness2.0331935
Sum2078.434
Variance0.032407984
MonotonicityNot monotonic
2023-12-13T05:51:04.099894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1123
 
11.2%
0.123 52
 
0.5%
0.143 51
 
0.5%
0.115 50
 
0.5%
0.163 45
 
0.4%
0.194 45
 
0.4%
0.154 44
 
0.4%
0.157 42
 
0.4%
0.096 42
 
0.4%
0.124 42
 
0.4%
Other values (700) 8464
84.6%
ValueCountFrequency (%)
0.0 1123
11.2%
0.003 4
 
< 0.1%
0.004 5
 
0.1%
0.006 7
 
0.1%
0.007 5
 
0.1%
0.008 3
 
< 0.1%
0.009 3
 
< 0.1%
0.01 8
 
0.1%
0.011 6
 
0.1%
0.012 4
 
< 0.1%
ValueCountFrequency (%)
1.634 2
< 0.1%
1.603 2
< 0.1%
1.51 1
 
< 0.1%
1.481 1
 
< 0.1%
1.443 1
 
< 0.1%
1.427 2
< 0.1%
1.372 1
 
< 0.1%
1.364 1
 
< 0.1%
1.353 3
< 0.1%
1.35 1
 
< 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

2023-12-13T05:51:04.237294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:51:04.662161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

인산성인
Real number (ℝ)

ZEROS 

Distinct180
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0617585
Minimum0
Maximum0.374
Zeros1093
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:51:04.787767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.032
median0.055
Q30.081
95-th percentile0.14
Maximum0.374
Range0.374
Interquartile range (IQR)0.049

Descriptive statistics

Standard deviation0.046910816
Coefficient of variation (CV)0.75958477
Kurtosis5.6588522
Mean0.0617585
Median Absolute Deviation (MAD)0.024
Skewness1.737705
Sum617.585
Variance0.0022006246
MonotonicityNot monotonic
2023-12-13T05:51:04.963434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1093
 
10.9%
0.036 187
 
1.9%
0.035 186
 
1.9%
0.034 166
 
1.7%
0.03 161
 
1.6%
0.04 150
 
1.5%
0.033 149
 
1.5%
0.032 147
 
1.5%
0.029 144
 
1.4%
0.037 136
 
1.4%
Other values (170) 7481
74.8%
ValueCountFrequency (%)
0.0 1093
10.9%
0.015 3
 
< 0.1%
0.016 1
 
< 0.1%
0.017 5
 
0.1%
0.018 19
 
0.2%
0.019 29
 
0.3%
0.02 47
 
0.5%
0.021 89
 
0.9%
0.022 71
 
0.7%
0.023 70
 
0.7%
ValueCountFrequency (%)
0.374 2
< 0.1%
0.369 1
 
< 0.1%
0.368 1
 
< 0.1%
0.366 1
 
< 0.1%
0.362 3
< 0.1%
0.359 1
 
< 0.1%
0.358 3
< 0.1%
0.352 1
 
< 0.1%
0.338 2
< 0.1%
0.313 1
 
< 0.1%

Sample

정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
33095마산봉암2162022-04-25 21:5538.9119.47.933.44430.0060.650.01335.5028.1402.180.3370.0420.0440.13100.035
64679마산봉암2162022-08-13 14:1032.429.488.333.71200151.5065.384.4662.02020.6603.840.7210.240.2720.03500.23
24197마산봉암2162022-03-26 00:250.00.00.00.000.36061.43.04185.100.002.140.570.0840.2040.15900.075
83206마산봉암2162022-10-16 22:0539.0121.60.00.000.000.00.00.0026.7902.610.00.1090.1770.25600.086
35324마산봉암2162022-05-03 15:4035.5119.898.284.2520278.7033.112.39180.8025.1302.810.00.0770.1570.000.066
16434마산봉암2162022-02-27 01:3030.947.698.248.18110.36046.4911.5537.78029.6603.640.530.050.0760.2800.037
79035마산봉암2162022-10-02 10:3040.4723.368.764.1168277.7060.550.3157.6026.801.910.6430.1190.2390.23900.085
33605마산봉암2162022-04-27 16:2537.0617.687.94.394294.0039.951.56213.4026.5702.80.6520.0770.1270.17800.047
21109마산봉암2162022-03-15 07:0532.2610.358.325.18418.8079.30.49230.8028.8305.070.6540.0610.2260.20800.047
43945마산봉암2162022-06-02 14:0545.6425.267.98.778526.6038.361.83117.1029.3902.440.770.1090.0540.09300.057
정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
37479마산봉암2162022-05-11 03:1538.8318.588.083.3190.0080.00.03259.7028.6303.020.3340.0770.1280.06600.07
18536마산봉암2162022-03-06 08:4029.079.298.427.5488.2039.472.9234.72028.1204.160.4470.0550.0780.17400.043
60242마산봉암2162022-07-29 04:2539.3926.98.241.6581.45088.90.21262.0024.0702.450.540.1350.0760.23200.098
48786마산봉암2162022-06-19 09:3041.7125.437.739.155325.0070.21.09220.7026.4802.440.4620.080.0170.07200.042
68915마산봉암2162022-08-28 07:1039.3624.558.855.252637.6072.50.6713.62025.3102.090.4380.0950.0490.14600.06
38387마산봉암2162022-05-14 06:5538.8118.68.194.55835.07070.61.5525.34028.6102.470.4790.0640.0160.0200.0
14943마산봉암2162022-02-21 21:1531.456.718.428.19650.72031.754.5134.19031.0701.090.00.0540.0710.17800.044
82053마산봉암2162022-10-12 22:0040.9520.748.813.3221.09074.70.29267.3028.8502.590.6520.1070.1630.29100.079
44190마산봉암2162022-06-03 10:3045.8824.17.947.146460.9038.952.0899.1030.3302.390.7180.0880.0370.07600.048
70023마산봉암2162022-09-01 03:3023.8923.267.972.79121.09087.30.07251.8015.0302.831.5190.1350.340.89200.103