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

Categorical12
DateTime1
Numeric10

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/15044189/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
암모니아질소 has constant value ""Constant
질산질소 has constant value ""Constant
남조류 has constant value ""Constant
인산성인 has constant value ""Constant
관측일자 has unique valuesUnique
전기전도도 has 1448 (14.5%) zerosZeros
수온 has 1444 (14.4%) zerosZeros
수소이온농도 has 1436 (14.4%) zerosZeros
용존산소량 has 1502 (15.0%) zerosZeros
탁도 has 2240 (22.4%) zerosZeros
염분 has 1447 (14.5%) zerosZeros
클로로필 has 1586 (15.9%) zerosZeros
화학적산소요구량 has 2408 (24.1%) zerosZeros
총질소 has 1847 (18.5%) zerosZeros
총인 has 1827 (18.3%) zerosZeros

Reproduction

Analysis started2023-12-12 06:36:01.282185
Analysis finished2023-12-12 06:36:01.849551
Duration0.57 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
부산수영
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산수영 10000
100.0%

Length

2023-12-12T15:36:01.941102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:02.067486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산수영 10000
100.0%

정점코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
218
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row218
2nd row218
3rd row218
4th row218
5th row218

Common Values

ValueCountFrequency (%)
218 10000
100.0%

Length

2023-12-12T15:36:02.190071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:02.311089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
218 10000
100.0%

관측일자
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:15:00
Maximum2022-09-30 22:35:00
2023-12-12T15:36:02.444006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:36:02.894789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전기전도도
Real number (ℝ)

ZEROS 

Distinct2027
Distinct (%)20.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.822318
Minimum0
Maximum48.1
Zeros1448
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:03.056448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q132.46
median37.02
Q339.2925
95-th percentile44.1805
Maximum48.1
Range48.1
Interquartile range (IQR)6.8325

Descriptive statistics

Standard deviation13.89314
Coefficient of variation (CV)0.43658479
Kurtosis1.138848
Mean31.822318
Median Absolute Deviation (MAD)3.12
Skewness-1.6242324
Sum318223.18
Variance193.01934
MonotonicityNot monotonic
2023-12-12T15:36:03.226771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1448
 
14.5%
38.17 23
 
0.2%
37.26 22
 
0.2%
37.36 20
 
0.2%
37.65 19
 
0.2%
37.13 18
 
0.2%
38.28 18
 
0.2%
36.54 18
 
0.2%
37.46 18
 
0.2%
37.28 18
 
0.2%
Other values (2017) 8378
83.8%
ValueCountFrequency (%)
0.0 1448
14.5%
4.39 1
 
< 0.1%
6.63 1
 
< 0.1%
6.91 1
 
< 0.1%
7.64 1
 
< 0.1%
7.96 1
 
< 0.1%
8.19 1
 
< 0.1%
8.21 1
 
< 0.1%
8.31 1
 
< 0.1%
8.39 1
 
< 0.1%
ValueCountFrequency (%)
48.1 1
< 0.1%
47.96 1
< 0.1%
47.93 1
< 0.1%
47.88 2
< 0.1%
47.87 1
< 0.1%
47.84 1
< 0.1%
47.68 1
< 0.1%
47.66 1
< 0.1%
47.61 1
< 0.1%
47.49 1
< 0.1%

수온
Real number (ℝ)

ZEROS 

Distinct1585
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.632402
Minimum0
Maximum28.89
Zeros1444
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:03.391619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.44
median14.82
Q319.78
95-th percentile24.8305
Maximum28.89
Range28.89
Interquartile range (IQR)7.34

Descriptive statistics

Standard deviation7.2324097
Coefficient of variation (CV)0.49427358
Kurtosis0.01303534
Mean14.632402
Median Absolute Deviation (MAD)3.24
Skewness-0.74656385
Sum146324.02
Variance52.30775
MonotonicityNot monotonic
2023-12-12T15:36:03.582759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1444
 
14.4%
13.23 31
 
0.3%
13.35 29
 
0.3%
13.32 25
 
0.2%
12.82 25
 
0.2%
13.38 25
 
0.2%
13.42 24
 
0.2%
13.29 24
 
0.2%
13.11 23
 
0.2%
13.13 23
 
0.2%
Other values (1575) 8327
83.3%
ValueCountFrequency (%)
0.0 1444
14.4%
10.02 1
 
< 0.1%
10.12 1
 
< 0.1%
10.16 1
 
< 0.1%
10.25 1
 
< 0.1%
10.28 1
 
< 0.1%
10.3 1
 
< 0.1%
10.31 1
 
< 0.1%
10.35 1
 
< 0.1%
10.38 1
 
< 0.1%
ValueCountFrequency (%)
28.89 1
< 0.1%
28.64 1
< 0.1%
28.58 1
< 0.1%
28.55 1
< 0.1%
28.51 1
< 0.1%
28.41 1
< 0.1%
28.4 1
< 0.1%
28.33 1
< 0.1%
28.26 1
< 0.1%
28.17 1
< 0.1%

수소이온농도
Real number (ℝ)

ZEROS 

Distinct151
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.830334
Minimum0
Maximum8.7
Zeros1436
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:03.791595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.58
median7.95
Q38.21
95-th percentile8.34
Maximum8.7
Range8.7
Interquartile range (IQR)0.63

Descriptive statistics

Standard deviation2.810711
Coefficient of variation (CV)0.41150418
Kurtosis2.0430398
Mean6.830334
Median Absolute Deviation (MAD)0.29
Skewness-1.9922358
Sum68303.34
Variance7.9000962
MonotonicityNot monotonic
2023-12-12T15:36:03.971550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1436
 
14.4%
8.31 167
 
1.7%
8.27 166
 
1.7%
8.26 165
 
1.7%
8.28 165
 
1.7%
8.29 164
 
1.6%
8.25 164
 
1.6%
8.24 149
 
1.5%
8.22 147
 
1.5%
8.21 142
 
1.4%
Other values (141) 7135
71.4%
ValueCountFrequency (%)
0.0 1436
14.4%
7.09 1
 
< 0.1%
7.1 2
 
< 0.1%
7.12 6
 
0.1%
7.13 3
 
< 0.1%
7.14 6
 
0.1%
7.15 4
 
< 0.1%
7.16 6
 
0.1%
7.17 5
 
0.1%
7.18 8
 
0.1%
ValueCountFrequency (%)
8.7 1
 
< 0.1%
8.64 1
 
< 0.1%
8.62 1
 
< 0.1%
8.59 2
< 0.1%
8.58 4
< 0.1%
8.57 1
 
< 0.1%
8.56 1
 
< 0.1%
8.55 1
 
< 0.1%
8.54 2
< 0.1%
8.51 1
 
< 0.1%

용존산소량
Real number (ℝ)

ZEROS 

Distinct1158
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.66434
Minimum0
Maximum15.84
Zeros1502
Zeros (%)15.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:04.126132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.1675
median5.095
Q37.03
95-th percentile8.85
Maximum15.84
Range15.84
Interquartile range (IQR)4.8625

Descriptive statistics

Standard deviation3.0504158
Coefficient of variation (CV)0.65398659
Kurtosis-0.66508636
Mean4.66434
Median Absolute Deviation (MAD)2.205
Skewness-0.032680321
Sum46643.4
Variance9.3050367
MonotonicityNot monotonic
2023-12-12T15:36:04.301302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1502
 
15.0%
7.14 29
 
0.3%
6.66 28
 
0.3%
7.21 25
 
0.2%
6.84 24
 
0.2%
6.99 24
 
0.2%
7.58 24
 
0.2%
7.08 23
 
0.2%
7.09 23
 
0.2%
0.17 23
 
0.2%
Other values (1148) 8275
82.8%
ValueCountFrequency (%)
0.0 1502
15.0%
0.11 1
 
< 0.1%
0.12 3
 
< 0.1%
0.13 8
 
0.1%
0.14 11
 
0.1%
0.15 11
 
0.1%
0.16 13
 
0.1%
0.17 23
 
0.2%
0.18 18
 
0.2%
0.19 9
 
0.1%
ValueCountFrequency (%)
15.84 1
< 0.1%
15.69 1
< 0.1%
15.61 1
< 0.1%
15.55 1
< 0.1%
15.41 1
< 0.1%
15.27 1
< 0.1%
15.15 1
< 0.1%
14.69 1
< 0.1%
14.67 2
< 0.1%
14.66 1
< 0.1%

탁도
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5977
Minimum0
Maximum95
Zeros2240
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:04.485635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median5
Q310
95-th percentile18
Maximum95
Range95
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.2339953
Coefficient of variation (CV)1.096442
Kurtosis21.641063
Mean6.5977
Median Absolute Deviation (MAD)4
Skewness3.3793563
Sum65977
Variance52.330688
MonotonicityNot monotonic
2023-12-12T15:36:04.639168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2240
22.4%
4 1744
17.4%
5 1271
12.7%
6 625
 
6.2%
11 503
 
5.0%
3 476
 
4.8%
10 468
 
4.7%
12 406
 
4.1%
7 324
 
3.2%
8 281
 
2.8%
Other values (60) 1662
16.6%
ValueCountFrequency (%)
0 2240
22.4%
1 93
 
0.9%
2 49
 
0.5%
3 476
 
4.8%
4 1744
17.4%
5 1271
12.7%
6 625
 
6.2%
7 324
 
3.2%
8 281
 
2.8%
9 236
 
2.4%
ValueCountFrequency (%)
95 1
< 0.1%
88 1
< 0.1%
87 1
< 0.1%
82 1
< 0.1%
81 1
< 0.1%
77 2
< 0.1%
74 1
< 0.1%
73 1
< 0.1%
69 1
< 0.1%
67 2
< 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

2023-12-12T15:36:04.801641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:04.918146image/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

2023-12-12T15:36:05.012495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:05.102958image/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

2023-12-12T15:36:05.217291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:05.335969image/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

2023-12-12T15:36:05.440059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:05.561103image/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

2023-12-12T15:36:05.663209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:05.747266image/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

2023-12-12T15:36:05.847990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:05.948502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

염분
Real number (ℝ)

ZEROS 

Distinct1619
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.420525
Minimum0
Maximum33.66
Zeros1447
Zeros (%)14.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:06.070171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123.87
median29.05
Q331.3
95-th percentile32.95
Maximum33.66
Range33.66
Interquartile range (IQR)7.43

Descriptive statistics

Standard deviation10.847449
Coefficient of variation (CV)0.44419395
Kurtosis0.8861299
Mean24.420525
Median Absolute Deviation (MAD)2.75
Skewness-1.5582491
Sum244205.25
Variance117.66716
MonotonicityNot monotonic
2023-12-12T15:36:06.317554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1447
 
14.5%
31.17 27
 
0.3%
32.71 25
 
0.2%
31.47 24
 
0.2%
31.44 22
 
0.2%
31.08 22
 
0.2%
31.12 21
 
0.2%
31.33 21
 
0.2%
31.43 20
 
0.2%
32.97 20
 
0.2%
Other values (1609) 8351
83.5%
ValueCountFrequency (%)
0.0 1447
14.5%
2.38 1
 
< 0.1%
3.71 1
 
< 0.1%
3.87 1
 
< 0.1%
4.33 1
 
< 0.1%
4.54 1
 
< 0.1%
4.69 2
 
< 0.1%
4.77 1
 
< 0.1%
4.8 1
 
< 0.1%
4.83 2
 
< 0.1%
ValueCountFrequency (%)
33.66 4
< 0.1%
33.64 1
 
< 0.1%
33.63 3
< 0.1%
33.62 1
 
< 0.1%
33.61 1
 
< 0.1%
33.6 5
0.1%
33.59 2
 
< 0.1%
33.58 6
0.1%
33.57 5
0.1%
33.56 2
 
< 0.1%

클로로필
Real number (ℝ)

ZEROS 

Distinct1958
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.279647
Minimum0
Maximum259.74
Zeros1586
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:06.520958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.05
Q35.4125
95-th percentile20.3205
Maximum259.74
Range259.74
Interquartile range (IQR)4.4125

Descriptive statistics

Standard deviation10.898617
Coefficient of variation (CV)2.0642701
Kurtosis135.85291
Mean5.279647
Median Absolute Deviation (MAD)1.48
Skewness8.8175572
Sum52796.47
Variance118.77986
MonotonicityNot monotonic
2023-12-12T15:36:06.700152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1586
 
15.9%
0.97 48
 
0.5%
1.09 47
 
0.5%
1.19 43
 
0.4%
1.1 43
 
0.4%
1.17 42
 
0.4%
1.15 41
 
0.4%
0.86 40
 
0.4%
1.14 39
 
0.4%
1.11 39
 
0.4%
Other values (1948) 8032
80.3%
ValueCountFrequency (%)
0.0 1586
15.9%
0.11 1
 
< 0.1%
0.2 1
 
< 0.1%
0.4 1
 
< 0.1%
0.41 1
 
< 0.1%
0.42 1
 
< 0.1%
0.46 1
 
< 0.1%
0.5 1
 
< 0.1%
0.51 2
 
< 0.1%
0.52 2
 
< 0.1%
ValueCountFrequency (%)
259.74 1
< 0.1%
250.36 1
< 0.1%
224.37 1
< 0.1%
223.98 1
< 0.1%
208.99 1
< 0.1%
183.66 1
< 0.1%
163.97 1
< 0.1%
152.84 1
< 0.1%
152.77 1
< 0.1%
142.12 1
< 0.1%

화학적산소요구량
Real number (ℝ)

ZEROS 

Distinct577
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.843389
Minimum0
Maximum9.7
Zeros2408
Zeros (%)24.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:06.887976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.41
median1.86
Q32.69
95-th percentile4.31
Maximum9.7
Range9.7
Interquartile range (IQR)2.28

Descriptive statistics

Standard deviation1.4882039
Coefficient of variation (CV)0.80731949
Kurtosis1.1825732
Mean1.843389
Median Absolute Deviation (MAD)1.01
Skewness0.7627332
Sum18433.89
Variance2.2147508
MonotonicityNot monotonic
2023-12-12T15:36:07.075011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2408
 
24.1%
2.14 55
 
0.5%
2.22 51
 
0.5%
2.38 46
 
0.5%
1.88 46
 
0.5%
2.45 46
 
0.5%
1.78 45
 
0.4%
2.42 44
 
0.4%
1.77 43
 
0.4%
2.01 43
 
0.4%
Other values (567) 7173
71.7%
ValueCountFrequency (%)
0.0 2408
24.1%
0.02 2
 
< 0.1%
0.1 1
 
< 0.1%
0.13 5
 
0.1%
0.14 1
 
< 0.1%
0.15 2
 
< 0.1%
0.17 2
 
< 0.1%
0.18 3
 
< 0.1%
0.21 1
 
< 0.1%
0.23 4
 
< 0.1%
ValueCountFrequency (%)
9.7 1
 
< 0.1%
9.65 3
< 0.1%
9.29 1
 
< 0.1%
9.22 3
< 0.1%
9.08 2
< 0.1%
8.89 1
 
< 0.1%
8.63 1
 
< 0.1%
8.46 2
< 0.1%
8.38 2
< 0.1%
8.29 2
< 0.1%

총질소
Real number (ℝ)

ZEROS 

Distinct1975
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9434089
Minimum0
Maximum6.833
Zeros1847
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:07.211703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.269
median0.619
Q31.32
95-th percentile3.00605
Maximum6.833
Range6.833
Interquartile range (IQR)1.051

Descriptive statistics

Standard deviation1.0086246
Coefficient of variation (CV)1.0691277
Kurtosis4.0404207
Mean0.9434089
Median Absolute Deviation (MAD)0.491
Skewness1.7910114
Sum9434.089
Variance1.0173236
MonotonicityNot monotonic
2023-12-12T15:36:07.356602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1847
 
18.5%
0.398 28
 
0.3%
0.314 27
 
0.3%
0.297 23
 
0.2%
0.292 23
 
0.2%
0.319 22
 
0.2%
0.352 22
 
0.2%
0.641 21
 
0.2%
0.336 21
 
0.2%
0.32 21
 
0.2%
Other values (1965) 7945
79.5%
ValueCountFrequency (%)
0.0 1847
18.5%
0.008 2
 
< 0.1%
0.013 1
 
< 0.1%
0.037 1
 
< 0.1%
0.045 1
 
< 0.1%
0.046 1
 
< 0.1%
0.047 1
 
< 0.1%
0.051 1
 
< 0.1%
0.052 3
 
< 0.1%
0.055 1
 
< 0.1%
ValueCountFrequency (%)
6.833 3
< 0.1%
6.741 4
< 0.1%
6.601 1
 
< 0.1%
6.507 3
< 0.1%
6.455 1
 
< 0.1%
6.38 2
< 0.1%
6.33 1
 
< 0.1%
6.157 2
< 0.1%
6.083 1
 
< 0.1%
6.038 2
< 0.1%

총인
Real number (ℝ)

ZEROS 

Distinct305
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0900995
Minimum0
Maximum0.725
Zeros1827
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T15:36:07.511611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.048
median0.086
Q30.125
95-th percentile0.206
Maximum0.725
Range0.725
Interquartile range (IQR)0.077

Descriptive statistics

Standard deviation0.068892447
Coefficient of variation (CV)0.76462629
Kurtosis6.8149017
Mean0.0900995
Median Absolute Deviation (MAD)0.039
Skewness1.3958618
Sum900.995
Variance0.0047461692
MonotonicityNot monotonic
2023-12-12T15:36:07.688956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1827
 
18.3%
0.05 106
 
1.1%
0.085 95
 
0.9%
0.051 92
 
0.9%
0.087 92
 
0.9%
0.105 90
 
0.9%
0.091 86
 
0.9%
0.074 86
 
0.9%
0.094 85
 
0.9%
0.077 84
 
0.8%
Other values (295) 7357
73.6%
ValueCountFrequency (%)
0.0 1827
18.3%
0.014 1
 
< 0.1%
0.018 1
 
< 0.1%
0.019 1
 
< 0.1%
0.022 2
 
< 0.1%
0.024 3
 
< 0.1%
0.025 9
 
0.1%
0.026 12
 
0.1%
0.027 5
 
0.1%
0.028 2
 
< 0.1%
ValueCountFrequency (%)
0.725 8
0.1%
0.51 2
 
< 0.1%
0.41 1
 
< 0.1%
0.392 5
0.1%
0.38 6
0.1%
0.379 3
 
< 0.1%
0.373 2
 
< 0.1%
0.37 3
 
< 0.1%
0.365 3
 
< 0.1%
0.364 1
 
< 0.1%

암모니아질소
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

2023-12-12T15:36:07.853140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:07.976879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

질산질소
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

2023-12-12T15:36:08.085172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:08.200490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

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

2023-12-12T15:36:08.655490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:08.775876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

인산성인
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

2023-12-12T15:36:08.907871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:36:09.027973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

Sample

정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
59907부산수영2182022-08-08 05:3541.2121.957.875.77000000028.2621.162.380.930.10000
69699부산수영2182022-09-11 08:050.00.00.00.000000000.00.00.00.00.00000
11570부산수영2182022-02-10 15:5038.1212.128.378.71300000033.070.93.190.320.2950000
29860부산수영2182022-04-25 21:2037.5915.658.146.61000000029.70.02.850.7090.00000
69534부산수영2182022-09-10 18:200.00.00.00.000000000.00.00.00.00.00000
21243부산수영2182022-03-26 23:150.00.00.00.000000000.00.01.071.7840.00000
12996부산수영2182022-02-21 05:4029.3610.027.746.96600000026.224.482.942.8290.110000
67881부산수영2182022-09-05 00:350.00.00.00.000000000.00.00.00.00.00000
57683부산수영2182022-07-31 12:1038.7826.017.562.8000000024.1310.182.531.3290.1140000
10308부산수영2182022-02-06 04:1029.3610.457.756.99400000025.91.963.710.00.0690000
정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
67018부산수영2182022-09-01 23:2046.1725.928.142.731300000029.351.831.012.2220.00000
60568부산수영2182022-08-10 12:4039.1920.997.346.61000000027.334.820.00.6060.00000
10282부산수영2182022-02-06 02:0035.4711.348.237.79400000031.171.042.640.00.0420000
74864부산수영2182022-09-29 06:300.00.00.00.000000000.00.00.00.00.00000
60558부산수영2182022-08-10 11:5039.6420.847.346.69000000027.784.52.520.6060.080000
45134부산수영2182022-06-17 22:1043.8520.138.073.766400000031.63.991.460.5810.1020000
52451부산수영2182022-07-13 08:0546.6424.28.123.41200000030.831.361.940.1620.1150000
32925부산수영2182022-05-06 12:4539.5216.08.247.71400000031.130.03.590.2980.0970000
72581부산수영2182022-09-21 08:150.00.00.00.000000000.00.00.00.00.00000
23257부산수영2182022-04-02 23:0537.0713.868.15.45400000030.621.210.00.4960.0820000