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

Categorical4
DateTime1
Numeric18

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/15044185/fileData.do

Alerts

정점명 has constant value ""Constant
정점코드 has constant value ""Constant
상대습도 has constant value ""Constant
남조류 has constant value ""Constant
강수량 is highly skewed (γ1 = 65.87549607)Skewed
관측일자 has unique valuesUnique
전기전도도 has 175 (1.8%) zerosZeros
수온 has 153 (1.5%) zerosZeros
수소이온농도 has 361 (3.6%) zerosZeros
용존산소량 has 527 (5.3%) zerosZeros
탁도 has 529 (5.3%) zerosZeros
일사량 has 2640 (26.4%) zerosZeros
강수량 has 9995 (> 99.9%) zerosZeros
염분 has 175 (1.8%) zerosZeros
클로로필 has 487 (4.9%) zerosZeros
화학적산소요구량 has 1169 (11.7%) zerosZeros
총질소 has 1263 (12.6%) zerosZeros
총인 has 1525 (15.2%) zerosZeros
암모니아질소 has 1600 (16.0%) zerosZeros
질산질소 has 1187 (11.9%) zerosZeros
인산성인 has 791 (7.9%) zerosZeros

Reproduction

Analysis started2023-12-12 07:07:16.666122
Analysis finished2023-12-12 07:07:17.250160
Duration0.58 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
영산영암
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영산영암 10000
100.0%

Length

2023-12-12T16:07:17.335868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:17.464268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영산영암 10000
100.0%

정점코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 10000
100.0%

Length

2023-12-12T16:07:17.582772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:17.686632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 10000
100.0%

관측일자
Date

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2022-01-01 00:40:00
Maximum2022-10-07 03:40:00
2023-12-12T16:07:17.795938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:07:17.971379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전기전도도
Real number (ℝ)

ZEROS 

Distinct7723
Distinct (%)77.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.539545
Minimum0
Maximum49.407
Zeros175
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:18.144868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14.5616
Q129.66475
median32.4485
Q342.401
95-th percentile45.31805
Maximum49.407
Range49.407
Interquartile range (IQR)12.73625

Descriptive statistics

Standard deviation9.7351163
Coefficient of variation (CV)0.29025785
Kurtosis1.5022343
Mean33.539545
Median Absolute Deviation (MAD)5.9435
Skewness-1.0455313
Sum335395.45
Variance94.772489
MonotonicityNot monotonic
2023-12-12T16:07:18.308152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 175
 
1.8%
31.311 6
 
0.1%
30.564 6
 
0.1%
30.936 6
 
0.1%
30.455 5
 
0.1%
30.111 5
 
0.1%
44.719 5
 
0.1%
31.468 5
 
0.1%
29.924 5
 
0.1%
30.594 5
 
0.1%
Other values (7713) 9777
97.8%
ValueCountFrequency (%)
0.0 175
1.8%
2.086 1
 
< 0.1%
2.655 1
 
< 0.1%
2.893 1
 
< 0.1%
2.894 1
 
< 0.1%
2.94 1
 
< 0.1%
3.169 1
 
< 0.1%
3.187 1
 
< 0.1%
3.606 1
 
< 0.1%
3.648 1
 
< 0.1%
ValueCountFrequency (%)
49.407 1
< 0.1%
49.345 1
< 0.1%
48.655 1
< 0.1%
48.605 1
< 0.1%
48.417 1
< 0.1%
48.414 1
< 0.1%
48.402 1
< 0.1%
48.397 2
< 0.1%
48.396 1
< 0.1%
48.394 2
< 0.1%

수온
Real number (ℝ)

ZEROS 

Distinct2379
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.560926
Minimum0
Maximum33.03
Zeros153
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:18.459296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.2795
Q18.26
median19.5
Q325.13
95-th percentile28.6405
Maximum33.03
Range33.03
Interquartile range (IQR)16.87

Descriptive statistics

Standard deviation8.4004599
Coefficient of variation (CV)0.47836087
Kurtosis-1.4167552
Mean17.560926
Median Absolute Deviation (MAD)7.32
Skewness-0.20771731
Sum175609.26
Variance70.567726
MonotonicityNot monotonic
2023-12-12T16:07:18.870489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 153
 
1.5%
6.89 23
 
0.2%
6.81 21
 
0.2%
7.06 21
 
0.2%
6.73 21
 
0.2%
7.07 20
 
0.2%
7.05 20
 
0.2%
7.08 20
 
0.2%
6.32 19
 
0.2%
6.76 19
 
0.2%
Other values (2369) 9663
96.6%
ValueCountFrequency (%)
0.0 153
1.5%
4.82 1
 
< 0.1%
4.85 2
 
< 0.1%
4.87 1
 
< 0.1%
4.88 1
 
< 0.1%
4.92 1
 
< 0.1%
4.94 1
 
< 0.1%
4.95 1
 
< 0.1%
4.97 1
 
< 0.1%
5.01 1
 
< 0.1%
ValueCountFrequency (%)
33.03 1
< 0.1%
32.96 1
< 0.1%
32.84 1
< 0.1%
32.8 1
< 0.1%
32.67 1
< 0.1%
32.49 1
< 0.1%
32.4 1
< 0.1%
32.36 1
< 0.1%
32.32 1
< 0.1%
32.3 1
< 0.1%

수소이온농도
Real number (ℝ)

ZEROS 

Distinct185
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.742884
Minimum0
Maximum8.87
Zeros361
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:19.015611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7.18
Q17.81
median8.07
Q38.22
95-th percentile8.45
Maximum8.87
Range8.87
Interquartile range (IQR)0.41

Descriptive statistics

Standard deviation1.5260866
Coefficient of variation (CV)0.19709538
Kurtosis20.948821
Mean7.742884
Median Absolute Deviation (MAD)0.19
Skewness-4.6936623
Sum77428.84
Variance2.3289405
MonotonicityNot monotonic
2023-12-12T16:07:19.160014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 361
 
3.6%
8.16 191
 
1.9%
8.22 190
 
1.9%
8.2 187
 
1.9%
8.21 179
 
1.8%
8.14 176
 
1.8%
8.12 171
 
1.7%
8.13 170
 
1.7%
8.15 169
 
1.7%
8.08 163
 
1.6%
Other values (175) 8043
80.4%
ValueCountFrequency (%)
0.0 361
3.6%
7.01 4
 
< 0.1%
7.02 3
 
< 0.1%
7.03 1
 
< 0.1%
7.04 2
 
< 0.1%
7.05 8
 
0.1%
7.06 7
 
0.1%
7.07 21
 
0.2%
7.08 11
 
0.1%
7.09 7
 
0.1%
ValueCountFrequency (%)
8.87 1
 
< 0.1%
8.86 3
< 0.1%
8.85 4
< 0.1%
8.84 1
 
< 0.1%
8.81 4
< 0.1%
8.8 7
0.1%
8.79 1
 
< 0.1%
8.78 3
< 0.1%
8.77 3
< 0.1%
8.76 1
 
< 0.1%

용존산소량
Real number (ℝ)

ZEROS 

Distinct1677
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.715377
Minimum0
Maximum33.31
Zeros527
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:19.328795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.03
median10.22
Q312.66
95-th percentile15.44
Maximum33.31
Range33.31
Interquartile range (IQR)5.63

Descriptive statistics

Standard deviation4.2616169
Coefficient of variation (CV)0.43864658
Kurtosis0.87533367
Mean9.715377
Median Absolute Deviation (MAD)2.72
Skewness-0.15618167
Sum97153.77
Variance18.161378
MonotonicityNot monotonic
2023-12-12T16:07:19.507956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 527
 
5.3%
12.66 29
 
0.3%
12.89 23
 
0.2%
11.42 21
 
0.2%
12.34 21
 
0.2%
13.26 20
 
0.2%
13.06 19
 
0.2%
12.92 19
 
0.2%
10.41 18
 
0.2%
13.4 18
 
0.2%
Other values (1667) 9285
92.8%
ValueCountFrequency (%)
0.0 527
5.3%
0.26 1
 
< 0.1%
0.28 1
 
< 0.1%
0.29 1
 
< 0.1%
0.3 2
 
< 0.1%
0.31 2
 
< 0.1%
0.32 1
 
< 0.1%
0.33 1
 
< 0.1%
0.34 1
 
< 0.1%
0.37 1
 
< 0.1%
ValueCountFrequency (%)
33.31 1
< 0.1%
32.52 1
< 0.1%
32.05 1
< 0.1%
31.87 1
< 0.1%
31.77 1
< 0.1%
30.11 1
< 0.1%
28.23 1
< 0.1%
27.89 1
< 0.1%
27.86 1
< 0.1%
27.62 1
< 0.1%

탁도
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.9084
Minimum0
Maximum243
Zeros529
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:19.740443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median10
Q313
95-th percentile21
Maximum243
Range243
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.8858118
Coefficient of variation (CV)0.72291187
Kurtosis225.81014
Mean10.9084
Median Absolute Deviation (MAD)3
Skewness9.9316027
Sum109084
Variance62.186028
MonotonicityNot monotonic
2023-12-12T16:07:19.945471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 1130
11.3%
8 1109
11.1%
11 1107
11.1%
10 900
 
9.0%
12 727
 
7.3%
7 651
 
6.5%
13 576
 
5.8%
6 543
 
5.4%
0 529
 
5.3%
14 327
 
3.3%
Other values (55) 2401
24.0%
ValueCountFrequency (%)
0 529
5.3%
2 9
 
0.1%
3 217
 
2.2%
4 126
 
1.3%
5 262
 
2.6%
6 543
5.4%
7 651
6.5%
8 1109
11.1%
9 1130
11.3%
10 900
9.0%
ValueCountFrequency (%)
243 1
< 0.1%
219 1
< 0.1%
217 1
< 0.1%
198 1
< 0.1%
146 1
< 0.1%
138 1
< 0.1%
115 1
< 0.1%
104 1
< 0.1%
75 1
< 0.1%
73 1
< 0.1%

일사량
Real number (ℝ)

ZEROS 

Distinct5109
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean175.69942
Minimum0
Maximum987.9
Zeros2640
Zeros (%)26.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:20.108782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median9.2
Q3290.0775
95-th percentile770.932
Maximum987.9
Range987.9
Interquartile range (IQR)290.0775

Descriptive statistics

Standard deviation258.10839
Coefficient of variation (CV)1.4690338
Kurtosis0.68952706
Mean175.69942
Median Absolute Deviation (MAD)9.2
Skewness1.3909549
Sum1756994.2
Variance66619.939
MonotonicityNot monotonic
2023-12-12T16:07:20.309153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 2640
26.4%
0.03 173
 
1.7%
0.08 141
 
1.4%
0.01 115
 
1.1%
0.13 110
 
1.1%
0.02 98
 
1.0%
0.09 82
 
0.8%
0.07 81
 
0.8%
0.06 77
 
0.8%
0.18 72
 
0.7%
Other values (5099) 6411
64.1%
ValueCountFrequency (%)
0.0 2640
26.4%
0.01 115
 
1.1%
0.02 98
 
1.0%
0.03 173
 
1.7%
0.04 59
 
0.6%
0.05 72
 
0.7%
0.06 77
 
0.8%
0.07 81
 
0.8%
0.08 141
 
1.4%
0.09 82
 
0.8%
ValueCountFrequency (%)
987.9 1
< 0.1%
983.4 1
< 0.1%
977.51 1
< 0.1%
962.14 1
< 0.1%
960.96 1
< 0.1%
957.27 1
< 0.1%
953.69 1
< 0.1%
953.3 1
< 0.1%
949.39 1
< 0.1%
948.86 1
< 0.1%

기온
Real number (ℝ)

Distinct3189
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.388251
Minimum-5.24
Maximum33.82
Zeros6
Zeros (%)0.1%
Negative623
Negative (%)6.2%
Memory size166.0 KiB
2023-12-12T16:07:20.491066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.24
5-th percentile-0.62
Q17.25
median18.36
Q325.03
95-th percentile28.93
Maximum33.82
Range39.06
Interquartile range (IQR)17.78

Descriptive statistics

Standard deviation9.9112238
Coefficient of variation (CV)0.60477618
Kurtosis-1.1364502
Mean16.388251
Median Absolute Deviation (MAD)7.71
Skewness-0.40562555
Sum163882.51
Variance98.232357
MonotonicityNot monotonic
2023-12-12T16:07:20.697491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.13 28
 
0.3%
27.43 15
 
0.1%
16.65 15
 
0.1%
23.63 13
 
0.1%
27.38 13
 
0.1%
23.56 13
 
0.1%
24.7 13
 
0.1%
27.5 13
 
0.1%
22.68 12
 
0.1%
25.05 12
 
0.1%
Other values (3179) 9853
98.5%
ValueCountFrequency (%)
-5.24 1
< 0.1%
-5.05 1
< 0.1%
-5.03 1
< 0.1%
-5.0 1
< 0.1%
-4.87 1
< 0.1%
-4.81 1
< 0.1%
-4.7 1
< 0.1%
-4.63 1
< 0.1%
-4.57 1
< 0.1%
-4.54 1
< 0.1%
ValueCountFrequency (%)
33.82 1
< 0.1%
33.8 1
< 0.1%
33.7 1
< 0.1%
33.69 1
< 0.1%
33.63 1
< 0.1%
33.58 1
< 0.1%
33.51 1
< 0.1%
33.42 1
< 0.1%
33.38 1
< 0.1%
33.37 1
< 0.1%

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

2023-12-12T16:07:20.907585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:21.018465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

풍속
Real number (ℝ)

Distinct963
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.930484
Minimum0
Maximum14.27
Zeros84
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:21.126591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.36
Q11.2
median2.44
Q34.2
95-th percentile7.1205
Maximum14.27
Range14.27
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.1584264
Coefficient of variation (CV)0.73654264
Kurtosis0.72986116
Mean2.930484
Median Absolute Deviation (MAD)1.395
Skewness1.003615
Sum29304.84
Variance4.6588047
MonotonicityNot monotonic
2023-12-12T16:07:21.270751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 84
 
0.8%
1.02 40
 
0.4%
0.85 39
 
0.4%
1.1 38
 
0.4%
0.93 38
 
0.4%
1.27 36
 
0.4%
0.74 36
 
0.4%
1.2 36
 
0.4%
1.19 35
 
0.4%
1.01 35
 
0.4%
Other values (953) 9583
95.8%
ValueCountFrequency (%)
0.0 84
0.8%
0.01 19
 
0.2%
0.02 18
 
0.2%
0.03 8
 
0.1%
0.04 5
 
0.1%
0.05 10
 
0.1%
0.06 13
 
0.1%
0.07 10
 
0.1%
0.08 11
 
0.1%
0.09 12
 
0.1%
ValueCountFrequency (%)
14.27 1
< 0.1%
13.48 1
< 0.1%
12.2 1
< 0.1%
12.04 1
< 0.1%
11.78 1
< 0.1%
11.53 1
< 0.1%
11.49 1
< 0.1%
11.4 1
< 0.1%
11.21 1
< 0.1%
11.2 1
< 0.1%

풍향
Real number (ℝ)

Distinct8267
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.55619
Minimum0
Maximum355.51
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:21.422169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22.2595
Q148.3775
median147.775
Q3242.335
95-th percentile331.841
Maximum355.51
Range355.51
Interquartile range (IQR)193.9575

Descriptive statistics

Standard deviation102.25008
Coefficient of variation (CV)0.66157222
Kurtosis-1.2231101
Mean154.55619
Median Absolute Deviation (MAD)97.41
Skewness0.23468706
Sum1545561.9
Variance10455.079
MonotonicityNot monotonic
2023-12-12T16:07:21.627357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.54 5
 
0.1%
257.26 5
 
0.1%
23.79 5
 
0.1%
254.97 5
 
0.1%
24.91 5
 
0.1%
135.32 5
 
0.1%
48.05 4
 
< 0.1%
37.91 4
 
< 0.1%
39.47 4
 
< 0.1%
32.77 4
 
< 0.1%
Other values (8257) 9954
99.5%
ValueCountFrequency (%)
0.0 3
< 0.1%
4.43 1
 
< 0.1%
5.28 1
 
< 0.1%
6.78 1
 
< 0.1%
6.87 1
 
< 0.1%
7.04 1
 
< 0.1%
7.28 1
 
< 0.1%
7.3 1
 
< 0.1%
7.48 1
 
< 0.1%
7.78 1
 
< 0.1%
ValueCountFrequency (%)
355.51 1
< 0.1%
354.95 1
< 0.1%
354.91 1
< 0.1%
352.46 1
< 0.1%
352.4 1
< 0.1%
351.68 1
< 0.1%
351.48 1
< 0.1%
350.72 1
< 0.1%
350.54 1
< 0.1%
350.53 1
< 0.1%

강수량
Real number (ℝ)

SKEWED  ZEROS 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00315
Minimum0
Maximum13.6
Zeros9995
Zeros (%)> 99.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:21.789632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum13.6
Range13.6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.18197909
Coefficient of variation (CV)57.77114
Kurtosis4532.1734
Mean0.00315
Median Absolute Deviation (MAD)0
Skewness65.875496
Sum31.5
Variance0.033116389
MonotonicityNot monotonic
2023-12-12T16:07:21.926567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0.0 9995
> 99.9%
4.3 1
 
< 0.1%
13.6 1
 
< 0.1%
0.4 1
 
< 0.1%
11.1 1
 
< 0.1%
2.1 1
 
< 0.1%
ValueCountFrequency (%)
0.0 9995
> 99.9%
0.4 1
 
< 0.1%
2.1 1
 
< 0.1%
4.3 1
 
< 0.1%
11.1 1
 
< 0.1%
13.6 1
 
< 0.1%
ValueCountFrequency (%)
13.6 1
 
< 0.1%
11.1 1
 
< 0.1%
4.3 1
 
< 0.1%
2.1 1
 
< 0.1%
0.4 1
 
< 0.1%
0.0 9995
> 99.9%

염분
Real number (ℝ)

ZEROS 

Distinct6163
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.667811
Minimum0
Maximum33.304
Zeros175
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:22.065807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9.1128
Q125.5785
median29.899
Q331.251
95-th percentile32.19105
Maximum33.304
Range33.304
Interquartile range (IQR)5.6725

Descriptive statistics

Standard deviation7.415841
Coefficient of variation (CV)0.27808211
Kurtosis2.9218799
Mean26.667811
Median Absolute Deviation (MAD)1.666
Skewness-1.9022536
Sum266678.11
Variance54.994698
MonotonicityNot monotonic
2023-12-12T16:07:22.245813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 175
 
1.8%
29.567 8
 
0.1%
31.693 8
 
0.1%
29.802 8
 
0.1%
31.302 8
 
0.1%
31.257 8
 
0.1%
31.391 8
 
0.1%
30.921 7
 
0.1%
31.635 7
 
0.1%
31.604 7
 
0.1%
Other values (6153) 9756
97.6%
ValueCountFrequency (%)
0.0 175
1.8%
1.685 1
 
< 0.1%
1.836 1
 
< 0.1%
1.864 1
 
< 0.1%
1.887 1
 
< 0.1%
2.038 1
 
< 0.1%
2.093 1
 
< 0.1%
2.129 1
 
< 0.1%
2.188 1
 
< 0.1%
2.299 1
 
< 0.1%
ValueCountFrequency (%)
33.304 1
< 0.1%
33.26 1
< 0.1%
33.24 1
< 0.1%
33.228 1
< 0.1%
33.221 1
< 0.1%
33.219 1
< 0.1%
33.217 1
< 0.1%
33.215 1
< 0.1%
33.196 1
< 0.1%
33.142 1
< 0.1%

클로로필
Real number (ℝ)

ZEROS 

Distinct1748
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.654682
Minimum0
Maximum54.39
Zeros487
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:22.443801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.12
Q12.55
median7.11
Q38.73
95-th percentile14.68
Maximum54.39
Range54.39
Interquartile range (IQR)6.18

Descriptive statistics

Standard deviation4.8968352
Coefficient of variation (CV)0.73584811
Kurtosis13.267977
Mean6.654682
Median Absolute Deviation (MAD)2.795
Skewness2.110329
Sum66546.82
Variance23.978995
MonotonicityNot monotonic
2023-12-12T16:07:22.645734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 487
 
4.9%
7.71 30
 
0.3%
5.62 30
 
0.3%
7.53 30
 
0.3%
7.5 28
 
0.3%
7.49 27
 
0.3%
7.47 27
 
0.3%
7.24 27
 
0.3%
7.43 27
 
0.3%
5.63 27
 
0.3%
Other values (1738) 9260
92.6%
ValueCountFrequency (%)
0.0 487
4.9%
0.02 3
 
< 0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.07 1
 
< 0.1%
0.09 3
 
< 0.1%
0.1 1
 
< 0.1%
0.11 1
 
< 0.1%
0.12 4
 
< 0.1%
ValueCountFrequency (%)
54.39 1
< 0.1%
54.36 1
< 0.1%
53.6 1
< 0.1%
53.34 1
< 0.1%
53.33 1
< 0.1%
47.97 1
< 0.1%
47.66 1
< 0.1%
47.63 1
< 0.1%
46.94 1
< 0.1%
46.89 1
< 0.1%

화학적산소요구량
Real number (ℝ)

ZEROS 

Distinct1037
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.931392
Minimum0
Maximum27.62
Zeros1169
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:22.822829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.1575
median3.43
Q35.57
95-th percentile8.98
Maximum27.62
Range27.62
Interquartile range (IQR)3.4125

Descriptive statistics

Standard deviation2.8147417
Coefficient of variation (CV)0.71596568
Kurtosis3.4982516
Mean3.931392
Median Absolute Deviation (MAD)1.59
Skewness1.1443534
Sum39313.92
Variance7.922771
MonotonicityNot monotonic
2023-12-12T16:07:22.970089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1169
 
11.7%
2.72 48
 
0.5%
2.66 42
 
0.4%
3.36 40
 
0.4%
2.81 37
 
0.4%
3.53 36
 
0.4%
2.75 35
 
0.4%
2.47 33
 
0.3%
3.31 33
 
0.3%
2.61 33
 
0.3%
Other values (1027) 8494
84.9%
ValueCountFrequency (%)
0.0 1169
11.7%
0.07 3
 
< 0.1%
0.14 2
 
< 0.1%
0.15 2
 
< 0.1%
0.16 2
 
< 0.1%
0.17 3
 
< 0.1%
0.18 2
 
< 0.1%
0.19 2
 
< 0.1%
0.27 1
 
< 0.1%
0.29 1
 
< 0.1%
ValueCountFrequency (%)
27.62 1
< 0.1%
25.7 1
< 0.1%
25.14 1
< 0.1%
25.11 2
< 0.1%
22.89 2
< 0.1%
22.87 1
< 0.1%
22.86 1
< 0.1%
19.89 1
< 0.1%
19.09 2
< 0.1%
19.04 1
< 0.1%

총질소
Real number (ℝ)

ZEROS 

Distinct1214
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4261427
Minimum0
Maximum5.725
Zeros1263
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:23.151870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.165
median0.292
Q30.553
95-th percentile1.2521
Maximum5.725
Range5.725
Interquartile range (IQR)0.388

Descriptive statistics

Standard deviation0.42400159
Coefficient of variation (CV)0.9949756
Kurtosis9.2013594
Mean0.4261427
Median Absolute Deviation (MAD)0.159
Skewness2.2138539
Sum4261.427
Variance0.17977735
MonotonicityNot monotonic
2023-12-12T16:07:23.338661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1263
 
12.6%
0.31 44
 
0.4%
0.269 36
 
0.4%
0.2 35
 
0.4%
0.287 35
 
0.4%
0.246 34
 
0.3%
0.305 32
 
0.3%
0.212 32
 
0.3%
0.138 32
 
0.3%
0.201 30
 
0.3%
Other values (1204) 8427
84.3%
ValueCountFrequency (%)
0.0 1263
12.6%
0.024 1
 
< 0.1%
0.037 2
 
< 0.1%
0.038 2
 
< 0.1%
0.04 1
 
< 0.1%
0.041 2
 
< 0.1%
0.042 2
 
< 0.1%
0.043 4
 
< 0.1%
0.046 1
 
< 0.1%
0.051 3
 
< 0.1%
ValueCountFrequency (%)
5.725 2
 
< 0.1%
3.72 1
 
< 0.1%
2.961 1
 
< 0.1%
2.86 2
 
< 0.1%
2.827 1
 
< 0.1%
2.762 1
 
< 0.1%
2.735 1
 
< 0.1%
2.733 1
 
< 0.1%
2.603 2
 
< 0.1%
2.562 7
0.1%

총인
Real number (ℝ)

ZEROS 

Distinct137
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0300051
Minimum0
Maximum0.284
Zeros1525
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:23.514280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.017
median0.027
Q30.042
95-th percentile0.068
Maximum0.284
Range0.284
Interquartile range (IQR)0.025

Descriptive statistics

Standard deviation0.022615791
Coefficient of variation (CV)0.75373158
Kurtosis5.9567426
Mean0.0300051
Median Absolute Deviation (MAD)0.012
Skewness1.4799477
Sum300.051
Variance0.00051147402
MonotonicityNot monotonic
2023-12-12T16:07:23.699261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1525
 
15.2%
0.028 292
 
2.9%
0.026 289
 
2.9%
0.023 283
 
2.8%
0.021 275
 
2.8%
0.022 274
 
2.7%
0.024 270
 
2.7%
0.025 268
 
2.7%
0.019 263
 
2.6%
0.027 250
 
2.5%
Other values (127) 6011
60.1%
ValueCountFrequency (%)
0.0 1525
15.2%
0.001 3
 
< 0.1%
0.003 1
 
< 0.1%
0.004 2
 
< 0.1%
0.005 8
 
0.1%
0.006 11
 
0.1%
0.007 17
 
0.2%
0.008 28
 
0.3%
0.009 53
 
0.5%
0.01 65
 
0.7%
ValueCountFrequency (%)
0.284 1
 
< 0.1%
0.23 1
 
< 0.1%
0.197 1
 
< 0.1%
0.174 3
< 0.1%
0.172 2
< 0.1%
0.154 1
 
< 0.1%
0.152 1
 
< 0.1%
0.148 2
< 0.1%
0.147 2
< 0.1%
0.146 2
< 0.1%

암모니아질소
Real number (ℝ)

ZEROS 

Distinct367
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0733111
Minimum0
Maximum0.766
Zeros1600
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:24.192277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.02
median0.049
Q30.105
95-th percentile0.22
Maximum0.766
Range0.766
Interquartile range (IQR)0.085

Descriptive statistics

Standard deviation0.077677601
Coefficient of variation (CV)1.0595613
Kurtosis6.41122
Mean0.0733111
Median Absolute Deviation (MAD)0.038
Skewness2.025244
Sum733.111
Variance0.0060338097
MonotonicityNot monotonic
2023-12-12T16:07:24.385307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1600
 
16.0%
0.026 132
 
1.3%
0.021 128
 
1.3%
0.027 112
 
1.1%
0.033 110
 
1.1%
0.028 103
 
1.0%
0.031 101
 
1.0%
0.025 97
 
1.0%
0.019 96
 
1.0%
0.035 95
 
0.9%
Other values (357) 7426
74.3%
ValueCountFrequency (%)
0.0 1600
16.0%
0.001 15
 
0.1%
0.002 3
 
< 0.1%
0.003 14
 
0.1%
0.004 14
 
0.1%
0.005 33
 
0.3%
0.006 26
 
0.3%
0.007 19
 
0.2%
0.008 25
 
0.2%
0.009 47
 
0.5%
ValueCountFrequency (%)
0.766 1
 
< 0.1%
0.759 2
< 0.1%
0.536 1
 
< 0.1%
0.528 2
< 0.1%
0.526 2
< 0.1%
0.524 1
 
< 0.1%
0.518 1
 
< 0.1%
0.514 3
< 0.1%
0.511 1
 
< 0.1%
0.498 1
 
< 0.1%

질산질소
Real number (ℝ)

ZEROS 

Distinct594
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1180396
Minimum0
Maximum0.996
Zeros1187
Zeros (%)11.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:24.531523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.023
median0.062
Q30.145
95-th percentile0.451
Maximum0.996
Range0.996
Interquartile range (IQR)0.122

Descriptive statistics

Standard deviation0.15500056
Coefficient of variation (CV)1.3131234
Kurtosis6.206531
Mean0.1180396
Median Absolute Deviation (MAD)0.049
Skewness2.3760081
Sum1180.396
Variance0.024025174
MonotonicityNot monotonic
2023-12-12T16:07:24.660026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 1187
 
11.9%
0.031 118
 
1.2%
0.021 105
 
1.1%
0.024 101
 
1.0%
0.023 98
 
1.0%
0.033 93
 
0.9%
0.026 91
 
0.9%
0.03 88
 
0.9%
0.025 85
 
0.9%
0.029 83
 
0.8%
Other values (584) 7951
79.5%
ValueCountFrequency (%)
0.0 1187
11.9%
0.001 13
 
0.1%
0.002 10
 
0.1%
0.003 24
 
0.2%
0.004 23
 
0.2%
0.005 17
 
0.2%
0.006 58
 
0.6%
0.007 59
 
0.6%
0.008 68
 
0.7%
0.009 55
 
0.5%
ValueCountFrequency (%)
0.996 4
< 0.1%
0.95 1
 
< 0.1%
0.903 4
< 0.1%
0.891 2
 
< 0.1%
0.888 2
 
< 0.1%
0.885 3
< 0.1%
0.884 3
< 0.1%
0.869 2
 
< 0.1%
0.861 5
0.1%
0.858 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

2023-12-12T16:07:24.783210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:07:24.862815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

인산성인
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0201795
Minimum0
Maximum0.275
Zeros791
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T16:07:24.950889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.007
median0.015
Q30.027
95-th percentile0.056
Maximum0.275
Range0.275
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.019005336
Coefficient of variation (CV)0.94181402
Kurtosis9.7534996
Mean0.0201795
Median Absolute Deviation (MAD)0.009
Skewness2.2069317
Sum201.795
Variance0.0003612028
MonotonicityNot monotonic
2023-12-12T16:07:25.092980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 791
 
7.9%
0.005 457
 
4.6%
0.008 446
 
4.5%
0.007 428
 
4.3%
0.006 422
 
4.2%
0.009 414
 
4.1%
0.011 348
 
3.5%
0.004 338
 
3.4%
0.012 312
 
3.1%
0.018 290
 
2.9%
Other values (107) 5754
57.5%
ValueCountFrequency (%)
0.0 791
7.9%
0.001 5
 
0.1%
0.002 44
 
0.4%
0.003 161
 
1.6%
0.004 338
3.4%
0.005 457
4.6%
0.006 422
4.2%
0.007 428
4.3%
0.008 446
4.5%
0.009 414
4.1%
ValueCountFrequency (%)
0.275 1
 
< 0.1%
0.188 1
 
< 0.1%
0.166 3
 
< 0.1%
0.151 1
 
< 0.1%
0.14 2
 
< 0.1%
0.131 12
0.1%
0.13 3
 
< 0.1%
0.129 3
 
< 0.1%
0.128 4
 
< 0.1%
0.127 3
 
< 0.1%

Sample

정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
30346영산영암32022-04-16 09:1033.61913.958.169.3221475.8711.6401.0140.360.030.2877.64.120.2340.0330.040.08100.015
65287영산영암32022-08-15 18:1041.2329.188.0111.31373.5330.0305.03256.240.027.2330.450.00.00.00.00.000.0
2583영산영암32022-01-09 23:3029.4847.388.0411.9370.071.100.74172.50.029.747.42.871.0310.0470.0480.11200.02
4363영산영암32022-01-16 03:5030.2126.977.2112.8170.172.0700.39171.170.030.9169.462.370.5110.0290.060.08400.016
40867영산영암32022-05-22 22:0043.12521.788.6810.090.018.3602.52226.210.031.2697.645.950.2680.050.00.08300.038
50327영산영암32022-06-24 19:0018.52522.757.957.55157.0324.3801.81291.60.012.0887.9511.151.1910.0370.0380.85500.0
24806영산영암32022-03-28 03:2520.8759.858.2610.5110.06.2503.5159.40.018.9978.718.030.260.0190.0560.000.007
10581영산영암32022-02-06 18:0029.9776.358.213.36115.262.5704.1752.40.031.20610.433.320.6980.00.0370.03100.01
55005영산영암32022-07-11 00:5544.94228.317.7911.04150.026.2301.57189.010.029.4051.543.190.2960.0260.0190.04100.026
11412영산영암32022-02-09 15:1530.9367.088.1113.038221.695.9903.8512.490.031.63310.12.910.1980.0340.0770.02200.017
정점명정점코드관측일자전기전도도수온수소이온농도용존산소량탁도일사량기온상대습도풍속풍향강수량염분클로로필화학적산소요구량총질소총인암모니아질소질산질소남조류인산성인
57640영산영암32022-07-20 04:3015.91526.937.388.1460.024.0300.67192.090.010.1693.686.60.9680.0460.2180.57900.032
39441영산영암32022-05-17 23:1041.06819.068.167.91140.017.1802.27239.920.031.5795.565.040.3720.0720.320.05200.06
46247영산영암32022-06-10 14:300.021.178.116.3415297.0324.3802.52215.150.00.05.833.370.1240.0260.110.01400.026
53668영산영암32022-07-06 09:3045.46325.277.7310.5111525.2830.4203.79225.120.029.84412.054.00.2350.0190.020.03200.014
18010영산영암32022-03-04 13:0530.1787.168.1816.4212685.5514.6705.95253.250.030.70811.573.820.00.00.0770.01500.007
74866영산영암32022-09-19 02:5043.83126.188.258.2550.226.3609.41123.780.028.8572.070.00.320.0490.00.07800.022
7937영산영암32022-01-28 13:4029.737.498.1918.6412628.092.6608.1722.640.029.91720.194.170.2820.0270.0480.0100.007
66200영산영암32022-08-18 22:1530.71129.058.5423.31110.023.8100.59186.620.019.48312.278.280.9240.0390.0240.21100.022
65625영산영암32022-08-16 22:2036.61726.487.777.01150.025.8800.91208.560.023.4860.985.710.9140.0640.0340.27100.047
617영산영암32022-01-03 03:2531.5228.058.2811.460.06-1.4301.18135.50.031.4047.32.470.2660.0430.0380.0800.019