Overview

Dataset statistics

Number of variables9
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory80.3 B

Variable types

Categorical7
Numeric2

Dataset

DescriptionSample
Author㈜일렉오션
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT08ELO002

Alerts

CLMT_AVG_MNTH_DD 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

Reproduction

Analysis started2024-03-13 12:53:41.456523
Analysis finished2024-03-13 12:53:42.483575
Duration1.03 second
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

2024-03-13T21:53:42.584032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:42.749591image/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)

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
2024-03-13T21:53:42.918756image/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
2024-03-13T21:53:43.110465image/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%

CLMT_AVG_MNTH_DD
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
101
100 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row101
2nd row101
3rd row101
4th row101
5th row101

Common Values

ValueCountFrequency (%)
101 100
100.0%

Length

2024-03-13T21:53:43.332033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:43.469722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
101 100
100.0%

CLMT_AVG
Real number (ℝ)

Distinct89
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3873
Minimum-3.54
Maximum1.84
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)80.0%
Memory size1.0 KiB
2024-03-13T21:53:43.631611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.54
5-th percentile-3.34
Q1-2.6575
median-1.61
Q3-0.38
95-th percentile1.228
Maximum1.84
Range5.38
Interquartile range (IQR)2.2775

Descriptive statistics

Standard deviation1.5102912
Coefficient of variation (CV)-1.0886551
Kurtosis-0.96535171
Mean-1.3873
Median Absolute Deviation (MAD)1.165
Skewness0.3974436
Sum-138.73
Variance2.2809795
MonotonicityNot monotonic
2024-03-13T21:53:43.891589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-3.34 4
 
4.0%
-0.62 2
 
2.0%
-1.95 2
 
2.0%
-3.3 2
 
2.0%
-2.81 2
 
2.0%
-1.58 2
 
2.0%
0.16 2
 
2.0%
-2.08 2
 
2.0%
-1.14 2
 
2.0%
-2.53 1
 
1.0%
Other values (79) 79
79.0%
ValueCountFrequency (%)
-3.54 1
 
1.0%
-3.39 1
 
1.0%
-3.38 1
 
1.0%
-3.35 1
 
1.0%
-3.34 4
4.0%
-3.3 2
2.0%
-3.27 1
 
1.0%
-3.25 1
 
1.0%
-3.21 1
 
1.0%
-3.16 1
 
1.0%
ValueCountFrequency (%)
1.84 1
1.0%
1.73 1
1.0%
1.48 1
1.0%
1.41 1
1.0%
1.38 1
1.0%
1.22 1
1.0%
1.16 1
1.0%
1.07 1
1.0%
1.03 1
1.0%
1.02 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

2024-03-13T21:53:44.158228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:44.299711image/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

2024-03-13T21:53:44.432489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:44.573408image/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

2024-03-13T21:53:44.706347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:44.830844image/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

2024-03-13T21:53:44.974978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:45.111452image/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

2024-03-13T21:53:45.241533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:53:45.401403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
korea 100
100.0%

Interactions

2024-03-13T21:53:41.970277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:53:41.687921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:53:42.082791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T21:53:41.852246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T21:53:45.487657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
LALOCLMT_AVG
LA1.0000.0000.000
LO0.0001.0000.937
CLMT_AVG0.0000.9371.000
2024-03-13T21:53:45.641634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
LOCLMT_AVGLA
LO1.000-0.1010.000
CLMT_AVG-0.1011.0000.000
LA0.0000.0001.000

Missing values

2024-03-13T21:53:42.228402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T21:53:42.408880image/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

LALOCLMT_AVG_MNTH_DDCLMT_AVGYY30_AVG_SYMDYY30_AVG_EYMDSRC_DATA_NMSRC_DATA_INTVWTCH_RELM_NM
039.0124.0101-3.341981010120101231ERA5 Reanalysis Data0.25KOREA
139.0124.25101-3.31981010120101231ERA5 Reanalysis Data0.25KOREA
239.0124.5101-3.211981010120101231ERA5 Reanalysis Data0.25KOREA
339.0124.75101-3.121981010120101231ERA5 Reanalysis Data0.25KOREA
439.0125.0101-2.651981010120101231ERA5 Reanalysis Data0.25KOREA
539.0125.25101-1.991981010120101231ERA5 Reanalysis Data0.25KOREA
639.0125.5101-1.141981010120101231ERA5 Reanalysis Data0.25KOREA
739.0125.75101-0.621981010120101231ERA5 Reanalysis Data0.25KOREA
839.0126.0101-0.321981010120101231ERA5 Reanalysis Data0.25KOREA
939.0126.25101-0.281981010120101231ERA5 Reanalysis Data0.25KOREA
LALOCLMT_AVG_MNTH_DDCLMT_AVGYY30_AVG_SYMDYY30_AVG_EYMDSRC_DATA_NMSRC_DATA_INTVWTCH_RELM_NM
9038.5130.0101-2.141981010120101231ERA5 Reanalysis Data0.25KOREA
9138.5130.25101-2.281981010120101231ERA5 Reanalysis Data0.25KOREA
9238.5130.5101-2.431981010120101231ERA5 Reanalysis Data0.25KOREA
9338.5130.75101-2.531981010120101231ERA5 Reanalysis Data0.25KOREA
9438.5131.0101-2.641981010120101231ERA5 Reanalysis Data0.25KOREA
9538.5131.25101-2.681981010120101231ERA5 Reanalysis Data0.25KOREA
9638.5131.5101-2.811981010120101231ERA5 Reanalysis Data0.25KOREA
9738.5131.75101-2.991981010120101231ERA5 Reanalysis Data0.25KOREA
9838.5132.0101-3.161981010120101231ERA5 Reanalysis Data0.25KOREA
9938.25124.0101-3.341981010120101231ERA5 Reanalysis Data0.25KOREA