Overview

Dataset statistics

Number of variables14
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory129.0 B

Variable types

Numeric4
Categorical10

Dataset

DescriptionSample
Author네이버시스템㈜
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT05NBS009

Alerts

WTCH_YMD has constant value ""Constant
SRC_DATA_INST_NM has constant value ""Constant
SRC_DATA_NM has constant value ""Constant
SRC_DATA_INTV has constant value ""Constant
YY30_AVG_SST_SRC_DATA_INST_NM has constant value ""Constant
YY30_AVG_SST_SRC_DATA_NM has constant value ""Constant
YY30_AVG_SYMD has constant value ""Constant
YY30_AVG_EYMD has constant value ""Constant
WTCH_RELM_NM has constant value ""Constant
YY30_AVG_SST is highly overall correlated with LOHigh correlation
YY30_AVG_SST_ANOMALY is highly overall correlated with SST_GRD_CDHigh correlation
LO is highly overall correlated with YY30_AVG_SSTHigh correlation
SST_GRD_CD is highly overall correlated with YY30_AVG_SST_ANOMALYHigh correlation

Reproduction

Analysis started2024-03-13 12:32:04.493241
Analysis finished2024-03-13 12:32:09.442641
Duration4.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

YY30_AVG_SST
Real number (ℝ)

HIGH CORRELATION 

Distinct2006
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.598308
Minimum16.459
Maximum27.044
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T21:32:09.591122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16.459
5-th percentile20.501
Q124.08175
median24.849
Q325.709
95-th percentile26.599
Maximum27.044
Range10.585
Interquartile range (IQR)1.62725

Descriptive statistics

Standard deviation1.7081913
Coefficient of variation (CV)0.069443445
Kurtosis3.8645591
Mean24.598308
Median Absolute Deviation (MAD)0.8
Skewness-1.7444795
Sum245983.08
Variance2.9179174
MonotonicityNot monotonic
2024-03-13T21:32:09.878072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24.382 20
 
0.2%
24.175 20
 
0.2%
23.717 20
 
0.2%
25.428 19
 
0.2%
25.54 18
 
0.2%
24.152 18
 
0.2%
24.951 18
 
0.2%
24.274 17
 
0.2%
24.645 17
 
0.2%
26.043 17
 
0.2%
Other values (1996) 9816
98.2%
ValueCountFrequency (%)
16.459 1
 
< 0.1%
16.604 1
 
< 0.1%
16.679 5
0.1%
16.837 6
0.1%
16.985 3
< 0.1%
16.988 3
< 0.1%
17.207 2
 
< 0.1%
17.219 4
< 0.1%
17.4 1
 
< 0.1%
17.472 7
0.1%
ValueCountFrequency (%)
27.044 6
0.1%
27.04 4
< 0.1%
27.035 2
 
< 0.1%
27.011 1
 
< 0.1%
27.006 3
 
< 0.1%
26.984 2
 
< 0.1%
26.967 4
< 0.1%
26.959 8
0.1%
26.956 1
 
< 0.1%
26.955 3
 
< 0.1%

YY30_AVG_SST_ANOMALY
Real number (ℝ)

HIGH CORRELATION 

Distinct434
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.132229
Minimum-2.51
Maximum3.4
Zeros43
Zeros (%)0.4%
Negative3953
Negative (%)39.5%
Memory size166.0 KiB
2024-03-13T21:32:10.091255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.51
5-th percentile-1.19
Q1-0.34
median0.18
Q30.66
95-th percentile1.24
Maximum3.4
Range5.91
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.74586992
Coefficient of variation (CV)5.6407438
Kurtosis0.18581243
Mean0.132229
Median Absolute Deviation (MAD)0.49
Skewness-0.22454774
Sum1322.29
Variance0.55632193
MonotonicityNot monotonic
2024-03-13T21:32:10.313014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.23 75
 
0.8%
0.32 72
 
0.7%
0.1 71
 
0.7%
0.43 71
 
0.7%
0.33 71
 
0.7%
0.29 71
 
0.7%
0.27 70
 
0.7%
0.13 69
 
0.7%
0.34 69
 
0.7%
0.18 68
 
0.7%
Other values (424) 9293
92.9%
ValueCountFrequency (%)
-2.51 1
< 0.1%
-2.25 1
< 0.1%
-2.07 1
< 0.1%
-2.01 1
< 0.1%
-1.99 1
< 0.1%
-1.98 1
< 0.1%
-1.97 2
< 0.1%
-1.96 2
< 0.1%
-1.95 1
< 0.1%
-1.94 2
< 0.1%
ValueCountFrequency (%)
3.4 1
< 0.1%
3.15 1
< 0.1%
3.14 1
< 0.1%
3.11 1
< 0.1%
2.99 1
< 0.1%
2.98 1
< 0.1%
2.91 1
< 0.1%
2.86 1
< 0.1%
2.81 1
< 0.1%
2.73 1
< 0.1%

SST_GRD_CD
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
4793 
0
3973 
2
1211 
3
 
23

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row2
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 4793
47.9%
0 3973
39.7%
2 1211
 
12.1%
3 23
 
0.2%

Length

2024-03-13T21:32:10.531525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:10.708305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 4793
47.9%
0 3973
39.7%
2 1211
 
12.1%
3 23
 
0.2%

LA
Real number (ℝ)

Distinct95
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.20803
Minimum20.025
Maximum24.725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T21:32:10.925506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.025
5-th percentile20.2225
Q121.025
median22.125
Q323.325
95-th percentile24.425
Maximum24.725
Range4.7
Interquartile range (IQR)2.3

Descriptive statistics

Standard deviation1.3511501
Coefficient of variation (CV)0.06084061
Kurtosis-1.1541394
Mean22.20803
Median Absolute Deviation (MAD)1.15
Skewness0.13986297
Sum222080.3
Variance1.8256066
MonotonicityNot monotonic
2024-03-13T21:32:11.163182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.375 146
 
1.5%
20.125 131
 
1.3%
20.275 131
 
1.3%
21.925 130
 
1.3%
21.175 130
 
1.3%
21.675 129
 
1.3%
21.325 128
 
1.3%
20.925 127
 
1.3%
21.425 126
 
1.3%
20.025 126
 
1.3%
Other values (85) 8696
87.0%
ValueCountFrequency (%)
20.025 126
1.3%
20.075 122
1.2%
20.125 131
1.3%
20.175 121
1.2%
20.225 124
1.2%
20.275 131
1.3%
20.325 115
1.1%
20.375 146
1.5%
20.425 121
1.2%
20.475 122
1.2%
ValueCountFrequency (%)
24.725 47
0.5%
24.675 74
0.7%
24.625 77
0.8%
24.575 87
0.9%
24.525 87
0.9%
24.475 94
0.9%
24.425 98
1.0%
24.375 91
0.9%
24.325 102
1.0%
24.275 72
0.7%

LO
Real number (ℝ)

HIGH CORRELATION 

Distinct798
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean132.07685
Minimum110.125
Maximum149.975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T21:32:11.423189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110.125
5-th percentile114.675
Q1123.475
median132.275
Q3141.125
95-th percentile148.325
Maximum149.975
Range39.85
Interquartile range (IQR)17.65

Descriptive statistics

Standard deviation10.605642
Coefficient of variation (CV)0.08029902
Kurtosis-1.0827959
Mean132.07685
Median Absolute Deviation (MAD)8.825
Skewness-0.095305745
Sum1320768.5
Variance112.47964
MonotonicityNot monotonic
2024-03-13T21:32:11.670343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.625 25
 
0.2%
126.825 23
 
0.2%
142.825 23
 
0.2%
119.225 23
 
0.2%
147.925 23
 
0.2%
142.225 23
 
0.2%
125.625 23
 
0.2%
142.175 23
 
0.2%
145.225 23
 
0.2%
143.775 23
 
0.2%
Other values (788) 9768
97.7%
ValueCountFrequency (%)
110.125 1
 
< 0.1%
110.175 1
 
< 0.1%
110.225 1
 
< 0.1%
110.275 1
 
< 0.1%
110.325 1
 
< 0.1%
110.375 1
 
< 0.1%
110.425 3
< 0.1%
110.475 4
< 0.1%
110.525 3
< 0.1%
110.575 4
< 0.1%
ValueCountFrequency (%)
149.975 22
0.2%
149.925 16
0.2%
149.875 14
0.1%
149.825 17
0.2%
149.775 10
0.1%
149.725 9
0.1%
149.675 16
0.2%
149.625 17
0.2%
149.575 13
0.1%
149.525 21
0.2%

WTCH_YMD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20220101
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20220101
2nd row20220101
3rd row20220101
4th row20220101
5th row20220101

Common Values

ValueCountFrequency (%)
20220101 10000
100.0%

Length

2024-03-13T21:32:11.965119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:12.161151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20220101 10000
100.0%

SRC_DATA_INST_NM
Categorical

CONSTANT 

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

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUK Met Office
2nd rowUK Met Office
3rd rowUK Met Office
4th rowUK Met Office
5th rowUK Met Office

Common Values

ValueCountFrequency (%)
UK Met Office 10000
100.0%

Length

2024-03-13T21:32:12.298429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:12.443263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uk 10000
33.3%
met 10000
33.3%
office 10000
33.3%

SRC_DATA_NM
Categorical

CONSTANT 

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

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
OSTIA_SST 10000
100.0%

Length

2024-03-13T21:32:12.628392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:12.772972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ostia_sst 10000
100.0%

SRC_DATA_INTV
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0.05
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.05
2nd row0.05
3rd row0.05
4th row0.05
5th row0.05

Common Values

ValueCountFrequency (%)
0.05 10000
100.0%

Length

2024-03-13T21:32:12.973634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:13.155891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.05 10000
100.0%

YY30_AVG_SST_SRC_DATA_INST_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
National Centers for Environmental Information
10000 

Length

Max length46
Median length46
Mean length46
Min length46

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowNational Centers for Environmental Information
2nd rowNational Centers for Environmental Information
3rd rowNational Centers for Environmental Information
4th rowNational Centers for Environmental Information
5th rowNational Centers for Environmental Information

Common Values

ValueCountFrequency (%)
National Centers for Environmental Information 10000
100.0%

Length

2024-03-13T21:32:13.305809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:13.435850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
national 10000
20.0%
centers 10000
20.0%
for 10000
20.0%
environmental 10000
20.0%
information 10000
20.0%

YY30_AVG_SST_SRC_DATA_NM
Categorical

CONSTANT 

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

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
AVHRR_OI_SST 10000
100.0%

Length

2024-03-13T21:32:13.613680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:13.787828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
avhrr_oi_sst 10000
100.0%

YY30_AVG_SYMD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
19910101
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19910101
2nd row19910101
3rd row19910101
4th row19910101
5th row19910101

Common Values

ValueCountFrequency (%)
19910101 10000
100.0%

Length

2024-03-13T21:32:13.942708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:14.597570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19910101 10000
100.0%

YY30_AVG_EYMD
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20201231
10000 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20201231
2nd row20201231
3rd row20201231
4th row20201231
5th row20201231

Common Values

ValueCountFrequency (%)
20201231 10000
100.0%

Length

2024-03-13T21:32:14.783706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:14.963409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20201231 10000
100.0%

WTCH_RELM_NM
Categorical

CONSTANT 

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

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
ROK 10000
100.0%

Length

2024-03-13T21:32:15.124832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:32:15.298331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
rok 10000
100.0%

Interactions

2024-03-13T21:32:08.208227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:05.933928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:06.692391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:07.457569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:08.409648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:06.148773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:06.857002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:07.647559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:08.609227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:06.302884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:07.036493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:07.822855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:08.764844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:06.484226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:07.219657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:32:07.963809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:32:15.403598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
YY30_AVG_SSTYY30_AVG_SST_ANOMALYSST_GRD_CDLALO
YY30_AVG_SST1.0000.4330.2620.6000.804
YY30_AVG_SST_ANOMALY0.4331.0000.8260.3100.628
SST_GRD_CD0.2620.8261.0000.1590.504
LA0.6000.3100.1591.0000.275
LO0.8040.6280.5040.2751.000
2024-03-13T21:32:15.548102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
YY30_AVG_SSTYY30_AVG_SST_ANOMALYLALOSST_GRD_CD
YY30_AVG_SST1.000-0.161-0.4300.7720.159
YY30_AVG_SST_ANOMALY-0.1611.000-0.104-0.2720.660
LA-0.430-0.1041.0000.1390.096
LO0.772-0.2720.1391.0000.325
SST_GRD_CD0.1590.6600.0960.3251.000

Missing values

2024-03-13T21:32:09.001544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:32:09.312737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

YY30_AVG_SSTYY30_AVG_SST_ANOMALYSST_GRD_CDLALOWTCH_YMDSRC_DATA_INST_NMSRC_DATA_NMSRC_DATA_INTVYY30_AVG_SST_SRC_DATA_INST_NMYY30_AVG_SST_SRC_DATA_NMYY30_AVG_SYMDYY30_AVG_EYMDWTCH_RELM_NM
5323324.8540.71123.625141.17520220101UK Met OfficeOSTIA_SST0.05National Centers for Environmental InformationAVHRR_OI_SST1991010120201231ROK
1566826.2230.83120.975139.92520220101UK Met OfficeOSTIA_SST0.05National Centers for Environmental InformationAVHRR_OI_SST1991010120201231ROK
4711624.2421.01223.175121.52520220101UK Met OfficeOSTIA_SST0.05National Centers for Environmental InformationAVHRR_OI_SST1991010120201231ROK
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