Overview

Dataset statistics

Number of variables10
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory89.3 B

Variable types

Categorical7
Numeric3

Dataset

DescriptionSample
Author㈜일렉오션
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT08ELO005

Alerts

ANOMALY_YMD has constant value ""Constant
YY30_AVG_SYMD has constant value ""Constant
YY30_AVG_EYMD has constant value ""Constant
SRC_DATA_NM has constant value ""Constant
SRC_DATA_INTV has constant value ""Constant
WTCH_RELM_NM has constant value ""Constant
LO is highly overall correlated with ANOMALYHigh correlation
ANOMALY is highly overall correlated with LO and 1 other fieldsHigh correlation
CLMT_AVG is highly overall correlated with ANOMALYHigh correlation

Reproduction

Analysis started2024-03-13 12:30:34.141049
Analysis finished2024-03-13 12:30:36.971778
Duration2.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

LA
Categorical

Distinct4
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
39.0
33 
38.75
33 
38.5
33 
38.25
 
1

Length

Max length5
Median length4
Mean length4.34
Min length4

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row39.0
2nd row39.0
3rd row39.0
4th row39.0
5th row39.0

Common Values

ValueCountFrequency (%)
39.0 33
33.0%
38.75 33
33.0%
38.5 33
33.0%
38.25 1
 
1.0%

Length

2024-03-13T21:30:37.130768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:37.423831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
39.0 33
33.0%
38.75 33
33.0%
38.5 33
33.0%
38.25 1
 
1.0%

LO
Real number (ℝ)

HIGH CORRELATION 

Distinct33
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.96
Minimum124
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:30:37.619565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124
5-th percentile124.25
Q1125.9375
median128
Q3130
95-th percentile131.75
Maximum132
Range8
Interquartile range (IQR)4.0625

Descriptive statistics

Standard deviation2.4138489
Coefficient of variation (CV)0.01886409
Kurtosis-1.2069907
Mean127.96
Median Absolute Deviation (MAD)2
Skewness0.0038306951
Sum12796
Variance5.8266667
MonotonicityNot monotonic
2024-03-13T21:30:37.904721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
124.0 4
 
4.0%
130.25 3
 
3.0%
128.75 3
 
3.0%
129.0 3
 
3.0%
129.25 3
 
3.0%
129.5 3
 
3.0%
129.75 3
 
3.0%
130.0 3
 
3.0%
130.5 3
 
3.0%
124.25 3
 
3.0%
Other values (23) 69
69.0%
ValueCountFrequency (%)
124.0 4
4.0%
124.25 3
3.0%
124.5 3
3.0%
124.75 3
3.0%
125.0 3
3.0%
125.25 3
3.0%
125.5 3
3.0%
125.75 3
3.0%
126.0 3
3.0%
126.25 3
3.0%
ValueCountFrequency (%)
132.0 3
3.0%
131.75 3
3.0%
131.5 3
3.0%
131.25 3
3.0%
131.0 3
3.0%
130.75 3
3.0%
130.5 3
3.0%
130.25 3
3.0%
130.0 3
3.0%
129.75 3
3.0%

ANOMALY_YMD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
19590101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19590101
2nd row19590101
3rd row19590101
4th row19590101
5th row19590101

Common Values

ValueCountFrequency (%)
19590101 100
100.0%

Length

2024-03-13T21:30:38.211401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:38.420355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19590101 100
100.0%

ANOMALY
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6777
Minimum-1.03
Maximum6.47
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)14.0%
Memory size1.0 KiB
2024-03-13T21:30:38.614115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.03
5-th percentile-0.711
Q10.9025
median3.205
Q34.3725
95-th percentile5.7785
Maximum6.47
Range7.5
Interquartile range (IQR)3.47

Descriptive statistics

Standard deviation2.114802
Coefficient of variation (CV)0.78978303
Kurtosis-1.2087281
Mean2.6777
Median Absolute Deviation (MAD)1.81
Skewness-0.11328333
Sum267.77
Variance4.4723876
MonotonicityNot monotonic
2024-03-13T21:30:38.865914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.43 2
 
2.0%
5.05 2
 
2.0%
4.18 1
 
1.0%
3.79 1
 
1.0%
-0.48 1
 
1.0%
1.69 1
 
1.0%
3.15 1
 
1.0%
3.74 1
 
1.0%
4.37 1
 
1.0%
4.89 1
 
1.0%
Other values (88) 88
88.0%
ValueCountFrequency (%)
-1.03 1
1.0%
-0.89 1
1.0%
-0.84 1
1.0%
-0.76 1
1.0%
-0.73 1
1.0%
-0.71 1
1.0%
-0.69 1
1.0%
-0.55 1
1.0%
-0.48 1
1.0%
-0.43 1
1.0%
ValueCountFrequency (%)
6.47 1
1.0%
6.41 1
1.0%
6.33 1
1.0%
6.02 1
1.0%
5.94 1
1.0%
5.77 1
1.0%
5.57 1
1.0%
5.45 1
1.0%
5.44 1
1.0%
5.4 1
1.0%

CLMT_AVG
Real number (ℝ)

HIGH CORRELATION 

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4349
Minimum0.42
Maximum5.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:30:39.129126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.42
5-th percentile0.686
Q11.3025
median2.33
Q33.4225
95-th percentile4.615
Maximum5.03
Range4.61
Interquartile range (IQR)2.12

Descriptive statistics

Standard deviation1.3208786
Coefficient of variation (CV)0.54247754
Kurtosis-1.0872288
Mean2.4349
Median Absolute Deviation (MAD)1.085
Skewness0.29768293
Sum243.49
Variance1.7447202
MonotonicityNot monotonic
2024-03-13T21:30:39.396370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.44 3
 
3.0%
4.61 2
 
2.0%
2.3 2
 
2.0%
2.52 2
 
2.0%
2.33 2
 
2.0%
0.76 2
 
2.0%
0.96 2
 
2.0%
0.75 2
 
2.0%
1.92 1
 
1.0%
1.7 1
 
1.0%
Other values (81) 81
81.0%
ValueCountFrequency (%)
0.42 1
1.0%
0.46 1
1.0%
0.47 1
1.0%
0.57 1
1.0%
0.61 1
1.0%
0.69 1
1.0%
0.75 2
2.0%
0.76 2
2.0%
0.77 1
1.0%
0.78 1
1.0%
ValueCountFrequency (%)
5.03 1
 
1.0%
4.86 1
 
1.0%
4.83 1
 
1.0%
4.8 1
 
1.0%
4.71 1
 
1.0%
4.61 2
2.0%
4.56 1
 
1.0%
4.48 1
 
1.0%
4.44 3
3.0%
4.33 1
 
1.0%

YY30_AVG_SYMD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
19810101
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row19810101
2nd row19810101
3rd row19810101
4th row19810101
5th row19810101

Common Values

ValueCountFrequency (%)
19810101 100
100.0%

Length

2024-03-13T21:30:39.708611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:39.870360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
19810101 100
100.0%

YY30_AVG_EYMD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
20101231
100 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20101231
2nd row20101231
3rd row20101231
4th row20101231
5th row20101231

Common Values

ValueCountFrequency (%)
20101231 100
100.0%

Length

2024-03-13T21:30:40.056669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:40.253668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20101231 100
100.0%

SRC_DATA_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
ERA5 Reanalysis Data
100 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowERA5 Reanalysis Data
2nd rowERA5 Reanalysis Data
3rd rowERA5 Reanalysis Data
4th rowERA5 Reanalysis Data
5th rowERA5 Reanalysis Data

Common Values

ValueCountFrequency (%)
ERA5 Reanalysis Data 100
100.0%

Length

2024-03-13T21:30:40.424838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:40.634642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
era5 100
33.3%
reanalysis 100
33.3%
data 100
33.3%

SRC_DATA_INTV
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.25
100 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.25
2nd row0.25
3rd row0.25
4th row0.25
5th row0.25

Common Values

ValueCountFrequency (%)
0.25 100
100.0%

Length

2024-03-13T21:30:40.789706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:40.948781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.25 100
100.0%

WTCH_RELM_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
KOREA
100 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
KOREA 100
100.0%

Length

2024-03-13T21:30:41.084436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:30:41.222389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
korea 100
100.0%

Interactions

2024-03-13T21:30:36.127337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:34.412621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:35.043628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:36.293229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:34.577586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:35.236504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:36.422387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:34.828386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:30:35.951370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:30:41.326273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
LALOANOMALYCLMT_AVG
LA1.0000.0000.0000.278
LO0.0001.0000.9140.866
ANOMALY0.0000.9141.0000.790
CLMT_AVG0.2780.8660.7901.000
2024-03-13T21:30:41.483366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
LOANOMALYCLMT_AVGLA
LO1.0000.5130.3160.000
ANOMALY0.5131.0000.8010.000
CLMT_AVG0.3160.8011.0000.161
LA0.0000.0000.1611.000

Missing values

2024-03-13T21:30:36.615068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:30:36.860285image/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

LALOANOMALY_YMDANOMALYCLMT_AVGYY30_AVG_SYMDYY30_AVG_EYMDSRC_DATA_NMSRC_DATA_INTVWTCH_RELM_NM
039.0124.0195901014.182.681981010120101231ERA5 Reanalysis Data0.25KOREA
139.0124.25195901013.442.521981010120101231ERA5 Reanalysis Data0.25KOREA
239.0124.5195901012.622.31981010120101231ERA5 Reanalysis Data0.25KOREA
339.0124.75195901011.952.011981010120101231ERA5 Reanalysis Data0.25KOREA
439.0125.0195901011.111.281981010120101231ERA5 Reanalysis Data0.25KOREA
539.0125.25195901010.490.761981010120101231ERA5 Reanalysis Data0.25KOREA
639.0125.519590101-0.320.461981010120101231ERA5 Reanalysis Data0.25KOREA
739.0125.7519590101-0.730.421981010120101231ERA5 Reanalysis Data0.25KOREA
839.0126.019590101-0.430.471981010120101231ERA5 Reanalysis Data0.25KOREA
939.0126.25195901010.090.571981010120101231ERA5 Reanalysis Data0.25KOREA
LALOANOMALY_YMDANOMALYCLMT_AVGYY30_AVG_SYMDYY30_AVG_EYMDSRC_DATA_NMSRC_DATA_INTVWTCH_RELM_NM
9038.5130.0195901015.184.081981010120101231ERA5 Reanalysis Data0.25KOREA
9138.5130.25195901014.853.71981010120101231ERA5 Reanalysis Data0.25KOREA
9238.5130.5195901014.643.381981010120101231ERA5 Reanalysis Data0.25KOREA
9338.5130.75195901014.42.971981010120101231ERA5 Reanalysis Data0.25KOREA
9438.5131.0195901014.282.741981010120101231ERA5 Reanalysis Data0.25KOREA
9538.5131.25195901014.082.541981010120101231ERA5 Reanalysis Data0.25KOREA
9638.5131.5195901013.772.371981010120101231ERA5 Reanalysis Data0.25KOREA
9738.5131.75195901013.582.331981010120101231ERA5 Reanalysis Data0.25KOREA
9838.5132.0195901013.572.331981010120101231ERA5 Reanalysis Data0.25KOREA
9938.25124.0195901015.054.011981010120101231ERA5 Reanalysis Data0.25KOREA