Overview

Dataset statistics

Number of variables25
Number of observations100
Missing cells154
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.9 KiB
Average record size in memory224.3 B

Variable types

Numeric16
Categorical8
Boolean1

Dataset

DescriptionSample
Author한국해양과학기술원
URLhttps://www.bigdata-coast.kr/gdsInfo/gdsInfoDetail.do?gdsCd=CT00KST026

Alerts

GGE_LA has constant value ""Constant
GGE_LA_BRNG has constant value ""Constant
GGE_LO has constant value ""Constant
GGE_LO_BRNG has constant value ""Constant
MIM_WNSPD is highly imbalanced (53.2%)Imbalance
MXM_HU is highly imbalanced (51.0%)Imbalance
AVG_PRAMT is highly imbalanced (50.0%)Imbalance
AVG_SLRQT is highly imbalanced (50.0%)Imbalance
SNSHN_QY is highly imbalanced (50.0%)Imbalance
GSWD_WNDRCT has 11 (11.0%) missing valuesMissing
AVG_WNDRCT has 11 (11.0%) missing valuesMissing
GSWD_WNSPD has 11 (11.0%) missing valuesMissing
MONT_WNSPD has 11 (11.0%) missing valuesMissing
MXM_WNSPD has 11 (11.0%) missing valuesMissing
AVG_WNSPD has 11 (11.0%) missing valuesMissing
MONT_TEM has 11 (11.0%) missing valuesMissing
MIM_TEM has 11 (11.0%) missing valuesMissing
MXM_TEM has 11 (11.0%) missing valuesMissing
AVG_ATEM has 11 (11.0%) missing valuesMissing
MONT_HU has 11 (11.0%) missing valuesMissing
MIM_HU has 11 (11.0%) missing valuesMissing
AVG_HU has 11 (11.0%) missing valuesMissing
AVG_ARCSR has 11 (11.0%) missing valuesMissing
WTCH_DT has unique valuesUnique

Reproduction

Analysis started2024-03-13 12:37:17.161232
Analysis finished2024-03-13 12:37:17.490244
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

WTCH_DT
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0230101 × 1013
Minimum2.0230101 × 1013
Maximum2.0230101 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:17.586295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0230101 × 1013
5-th percentile2.0230101 × 1013
Q12.0230101 × 1013
median2.0230101 × 1013
Q32.0230101 × 1013
95-th percentile2.0230101 × 1013
Maximum2.0230101 × 1013
Range13900
Interquartile range (IQR)8950

Descriptive statistics

Standard deviation4689.6081
Coefficient of variation (CV)2.3181338 × 10-10
Kurtosis-1.572981
Mean2.0230101 × 1013
Median Absolute Deviation (MAD)4000
Skewness0.24176913
Sum2.0230101 × 1015
Variance21992424
MonotonicityStrictly increasing
2024-03-13T21:37:17.820306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20230101000000 1
 
1.0%
20230101010400 1
 
1.0%
20230101011400 1
 
1.0%
20230101011300 1
 
1.0%
20230101011200 1
 
1.0%
20230101011100 1
 
1.0%
20230101011000 1
 
1.0%
20230101010900 1
 
1.0%
20230101010800 1
 
1.0%
20230101010700 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
20230101000000 1
1.0%
20230101000100 1
1.0%
20230101000200 1
1.0%
20230101000300 1
1.0%
20230101000400 1
1.0%
20230101000500 1
1.0%
20230101000600 1
1.0%
20230101000700 1
1.0%
20230101000800 1
1.0%
20230101000900 1
1.0%
ValueCountFrequency (%)
20230101013900 1
1.0%
20230101013800 1
1.0%
20230101013700 1
1.0%
20230101013600 1
1.0%
20230101013500 1
1.0%
20230101013400 1
1.0%
20230101013300 1
1.0%
20230101013200 1
1.0%
20230101013100 1
1.0%
20230101013000 1
1.0%

GGE_LA
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
35.71992333
100 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row35.71992333
2nd row35.71992333
3rd row35.71992333
4th row35.71992333
5th row35.71992333

Common Values

ValueCountFrequency (%)
35.71992333 100
100.0%

Length

2024-03-13T21:37:18.013361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:18.159657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
35.71992333 100
100.0%

GGE_LA_BRNG
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size232.0 B
False
100 
ValueCountFrequency (%)
False 100
100.0%
2024-03-13T21:37:18.343176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

GGE_LO
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
126.5150283
100 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row126.5150283
2nd row126.5150283
3rd row126.5150283
4th row126.5150283
5th row126.5150283

Common Values

ValueCountFrequency (%)
126.5150283 100
100.0%

Length

2024-03-13T21:37:18.535612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:18.665844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
126.5150283 100
100.0%

GGE_LO_BRNG
Categorical

CONSTANT 

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

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
E 100
100.0%

Length

2024-03-13T21:37:18.836432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:18.972961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
e 100
100.0%

GSWD_WNDRCT
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)10.1%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean107.76843
Minimum47.66
Maximum122.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:19.092097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum47.66
5-th percentile57.43
Q1118.3
median118.3
Q3118.3
95-th percentile118.3
Maximum122.4
Range74.74
Interquartile range (IQR)0

Descriptive statistics

Standard deviation23.498665
Coefficient of variation (CV)0.21804776
Kurtosis1.3245017
Mean107.76843
Median Absolute Deviation (MAD)0
Skewness-1.8079116
Sum9591.39
Variance552.18724
MonotonicityNot monotonic
2024-03-13T21:37:19.255124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
118.3 68
68.0%
57.43 11
 
11.0%
53.3 3
 
3.0%
115.4 2
 
2.0%
47.66 1
 
1.0%
120.2 1
 
1.0%
118.2 1
 
1.0%
116.1 1
 
1.0%
122.4 1
 
1.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
47.66 1
 
1.0%
53.3 3
 
3.0%
57.43 11
 
11.0%
115.4 2
 
2.0%
116.1 1
 
1.0%
118.2 1
 
1.0%
118.3 68
68.0%
120.2 1
 
1.0%
122.4 1
 
1.0%
ValueCountFrequency (%)
122.4 1
 
1.0%
120.2 1
 
1.0%
118.3 68
68.0%
118.2 1
 
1.0%
116.1 1
 
1.0%
115.4 2
 
2.0%
57.43 11
 
11.0%
53.3 3
 
3.0%
47.66 1
 
1.0%

AVG_WNDRCT
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)76.4%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean109.29517
Minimum43.18
Maximum131.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:19.462168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43.18
5-th percentile50.862
Q1115.5
median119.1
Q3122.5
95-th percentile125.98
Maximum131.5
Range88.32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation25.483075
Coefficient of variation (CV)0.2331583
Kurtosis1.5596784
Mean109.29517
Median Absolute Deviation (MAD)3.6
Skewness-1.8098568
Sum9727.27
Variance649.38712
MonotonicityNot monotonic
2024-03-13T21:37:19.678638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118.4 3
 
3.0%
122.5 2
 
2.0%
121.0 2
 
2.0%
125.1 2
 
2.0%
123.0 2
 
2.0%
123.5 2
 
2.0%
123.4 2
 
2.0%
120.6 2
 
2.0%
118.9 2
 
2.0%
118.5 2
 
2.0%
Other values (58) 68
68.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
43.18 1
1.0%
43.36 1
1.0%
44.64 1
1.0%
48.08 1
1.0%
50.55 1
1.0%
51.33 1
1.0%
51.46 1
1.0%
52.76 1
1.0%
53.61 1
1.0%
53.87 1
1.0%
ValueCountFrequency (%)
131.5 1
1.0%
128.2 1
1.0%
127.3 1
1.0%
126.6 1
1.0%
126.3 1
1.0%
125.5 1
1.0%
125.1 2
2.0%
124.6 1
1.0%
124.5 1
1.0%
124.0 1
1.0%

GSWD_WNSPD
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)10.1%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean6.3214719
Minimum3.463
Maximum6.926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:19.883920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.463
5-th percentile4.012
Q16.926
median6.926
Q36.926
95-th percentile6.926
Maximum6.926
Range3.463
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1689427
Coefficient of variation (CV)0.18491623
Kurtosis0.69794415
Mean6.3214719
Median Absolute Deviation (MAD)0
Skewness-1.5725903
Sum562.611
Variance1.3664271
MonotonicityIncreasing
2024-03-13T21:37:20.091564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.926 68
68.0%
4.012 11
 
11.0%
3.463 3
 
3.0%
5.417 2
 
2.0%
3.602 1
 
1.0%
4.845 1
 
1.0%
5.467 1
 
1.0%
5.845 1
 
1.0%
6.529 1
 
1.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
3.463 3
 
3.0%
3.602 1
 
1.0%
4.012 11
 
11.0%
4.845 1
 
1.0%
5.417 2
 
2.0%
5.467 1
 
1.0%
5.845 1
 
1.0%
6.529 1
 
1.0%
6.926 68
68.0%
ValueCountFrequency (%)
6.926 68
68.0%
6.529 1
 
1.0%
5.845 1
 
1.0%
5.467 1
 
1.0%
5.417 2
 
2.0%
4.845 1
 
1.0%
4.012 11
 
11.0%
3.602 1
 
1.0%
3.463 3
 
3.0%

MONT_WNSPD
Real number (ℝ)

MISSING 

Distinct68
Distinct (%)76.4%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4.8904494
Minimum1.554
Maximum6.768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:20.294042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.554
5-th percentile2.7774
Q14.755
median5.12
Q35.444
95-th percentile5.9872
Maximum6.768
Range5.214
Interquartile range (IQR)0.689

Descriptive statistics

Standard deviation1.0251081
Coefficient of variation (CV)0.20961429
Kurtosis1.4285456
Mean4.8904494
Median Absolute Deviation (MAD)0.351
Skewness-1.2978707
Sum435.25
Variance1.0508466
MonotonicityNot monotonic
2024-03-13T21:37:20.493257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.012 4
 
4.0%
5.309 3
 
3.0%
5.12 3
 
3.0%
5.701 3
 
3.0%
5.093 3
 
3.0%
5.147 2
 
2.0%
4.85 2
 
2.0%
4.755 2
 
2.0%
5.971 2
 
2.0%
5.417 2
 
2.0%
Other values (58) 63
63.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
1.554 1
1.0%
1.905 1
1.0%
2.499 1
1.0%
2.634 1
1.0%
2.729 1
1.0%
2.85 1
1.0%
2.972 1
1.0%
3.012 1
1.0%
3.067 1
1.0%
3.08 2
2.0%
ValueCountFrequency (%)
6.768 1
1.0%
6.363 1
1.0%
6.282 1
1.0%
6.268 1
1.0%
5.998 1
1.0%
5.971 2
2.0%
5.944 1
1.0%
5.917 1
1.0%
5.89 1
1.0%
5.836 1
1.0%

MIM_WNSPD
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0.878
76 
<NA>
11 
1.918
9 
1.459
 
2
2.837
 
1

Length

Max length5
Median length5
Mean length4.89
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row2.837
2nd row1.918
3rd row1.918
4th row1.918
5th row1.918

Common Values

ValueCountFrequency (%)
0.878 76
76.0%
<NA> 11
 
11.0%
1.918 9
 
9.0%
1.459 2
 
2.0%
2.837 1
 
1.0%
1.554 1
 
1.0%

Length

2024-03-13T21:37:20.784002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:20.956693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.878 76
76.0%
na 11
 
11.0%
1.918 9
 
9.0%
1.459 2
 
2.0%
2.837 1
 
1.0%
1.554 1
 
1.0%

MXM_WNSPD
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)10.1%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean6.350618
Minimum3.472
Maximum6.944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:21.100425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.472
5-th percentile4.053
Q16.944
median6.944
Q36.944
95-th percentile6.944
Maximum6.944
Range3.472
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1566497
Coefficient of variation (CV)0.18213183
Kurtosis0.75628299
Mean6.350618
Median Absolute Deviation (MAD)0
Skewness-1.5903626
Sum565.205
Variance1.3378385
MonotonicityIncreasing
2024-03-13T21:37:21.687527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
6.944 68
68.0%
4.053 11
 
11.0%
3.472 3
 
3.0%
5.471 2
 
2.0%
3.81 1
 
1.0%
4.944 1
 
1.0%
5.633 1
 
1.0%
5.917 1
 
1.0%
6.768 1
 
1.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
3.472 3
 
3.0%
3.81 1
 
1.0%
4.053 11
 
11.0%
4.944 1
 
1.0%
5.471 2
 
2.0%
5.633 1
 
1.0%
5.917 1
 
1.0%
6.768 1
 
1.0%
6.944 68
68.0%
ValueCountFrequency (%)
6.944 68
68.0%
6.768 1
 
1.0%
5.917 1
 
1.0%
5.633 1
 
1.0%
5.471 2
 
2.0%
4.944 1
 
1.0%
4.053 11
 
11.0%
3.81 1
 
1.0%
3.472 3
 
3.0%

AVG_WNSPD
Real number (ℝ)

MISSING 

Distinct87
Distinct (%)97.8%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4.8702247
Minimum1.762
Maximum6.428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:21.880103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.762
5-th percentile2.6166
Q14.82
median5.148
Q35.427
95-th percentile5.983
Maximum6.428
Range4.666
Interquartile range (IQR)0.607

Descriptive statistics

Standard deviation1.0244659
Coefficient of variation (CV)0.21035291
Kurtosis1.1786497
Mean4.8702247
Median Absolute Deviation (MAD)0.328
Skewness-1.3942479
Sum433.45
Variance1.0495304
MonotonicityNot monotonic
2024-03-13T21:37:22.074099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.4 2
 
2.0%
5.602 2
 
2.0%
4.698 1
 
1.0%
5.069 1
 
1.0%
5.153 1
 
1.0%
5.111 1
 
1.0%
5.089 1
 
1.0%
4.982 1
 
1.0%
5.052 1
 
1.0%
5.161 1
 
1.0%
Other values (77) 77
77.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
1.762 1
1.0%
1.98 1
1.0%
2.383 1
1.0%
2.564 1
1.0%
2.591 1
1.0%
2.655 1
1.0%
3.0 1
1.0%
3.003 1
1.0%
3.084 1
1.0%
3.122 1
1.0%
ValueCountFrequency (%)
6.428 1
1.0%
6.241 1
1.0%
6.109 1
1.0%
6.082 1
1.0%
6.009 1
1.0%
5.944 1
1.0%
5.871 1
1.0%
5.791 1
1.0%
5.766 1
1.0%
5.753 1
1.0%

MONT_TEM
Real number (ℝ)

MISSING 

Distinct75
Distinct (%)84.3%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean6.2070337
Minimum4.222
Maximum6.915
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:22.287626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.222
5-th percentile4.4778
Q16.277
median6.492
Q36.681
95-th percentile6.8398
Maximum6.915
Range2.693
Interquartile range (IQR)0.404

Descriptive statistics

Standard deviation0.7750185
Coefficient of variation (CV)0.12486133
Kurtosis0.82741002
Mean6.2070337
Median Absolute Deviation (MAD)0.211
Skewness-1.5272143
Sum552.426
Variance0.60065367
MonotonicityNot monotonic
2024-03-13T21:37:22.515900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.492 4
 
4.0%
6.776 3
 
3.0%
4.932 3
 
3.0%
6.241 2
 
2.0%
6.558 2
 
2.0%
4.837 2
 
2.0%
6.729 2
 
2.0%
6.634 2
 
2.0%
6.618 2
 
2.0%
4.317 2
 
2.0%
Other values (65) 65
65.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
4.222 1
1.0%
4.27 1
1.0%
4.317 2
2.0%
4.459 1
1.0%
4.506 1
1.0%
4.553 1
1.0%
4.601 1
1.0%
4.648 1
1.0%
4.837 2
2.0%
4.884 1
1.0%
ValueCountFrequency (%)
6.915 1
 
1.0%
6.898 1
 
1.0%
6.863 1
 
1.0%
6.861 1
 
1.0%
6.851 1
 
1.0%
6.823 1
 
1.0%
6.798 1
 
1.0%
6.795 1
 
1.0%
6.794 1
 
1.0%
6.776 3
3.0%

MIM_TEM
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)6.7%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean4.0353933
Minimum3.986
Maximum4.364
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:22.705521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.986
5-th percentile3.986
Q13.986
median3.986
Q33.986
95-th percentile4.317
Maximum4.364
Range0.378
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.11859084
Coefficient of variation (CV)0.029387678
Kurtosis2.5595233
Mean4.0353933
Median Absolute Deviation (MAD)0
Skewness2.0861444
Sum359.15
Variance0.014063787
MonotonicityDecreasing
2024-03-13T21:37:22.895139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3.986 75
75.0%
4.317 6
 
6.0%
4.364 4
 
4.0%
4.27 2
 
2.0%
4.222 1
 
1.0%
4.08 1
 
1.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
3.986 75
75.0%
4.08 1
 
1.0%
4.222 1
 
1.0%
4.27 2
 
2.0%
4.317 6
 
6.0%
4.364 4
 
4.0%
ValueCountFrequency (%)
4.364 4
 
4.0%
4.317 6
 
6.0%
4.27 2
 
2.0%
4.222 1
 
1.0%
4.08 1
 
1.0%
3.986 75
75.0%

MXM_TEM
Real number (ℝ)

MISSING 

Distinct10
Distinct (%)11.2%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean6.6982584
Minimum5.121
Maximum7.102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:23.146905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.121
5-th percentile5.215
Q16.918
median7.102
Q37.102
95-th percentile7.102
Maximum7.102
Range1.981
Interquartile range (IQR)0.184

Descriptive statistics

Standard deviation0.72522472
Coefficient of variation (CV)0.10827064
Kurtosis0.4784185
Mean6.6982584
Median Absolute Deviation (MAD)0
Skewness-1.5355326
Sum596.145
Variance0.5259509
MonotonicityIncreasing
2024-03-13T21:37:23.332656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7.102 47
47.0%
7.012 19
19.0%
5.215 15
 
15.0%
6.729 2
 
2.0%
5.121 1
 
1.0%
5.641 1
 
1.0%
6.445 1
 
1.0%
6.539 1
 
1.0%
6.776 1
 
1.0%
6.918 1
 
1.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
5.121 1
 
1.0%
5.215 15
 
15.0%
5.641 1
 
1.0%
6.445 1
 
1.0%
6.539 1
 
1.0%
6.729 2
 
2.0%
6.776 1
 
1.0%
6.918 1
 
1.0%
7.012 19
19.0%
7.102 47
47.0%
ValueCountFrequency (%)
7.102 47
47.0%
7.012 19
19.0%
6.918 1
 
1.0%
6.776 1
 
1.0%
6.729 2
 
2.0%
6.539 1
 
1.0%
6.445 1
 
1.0%
5.641 1
 
1.0%
5.215 15
 
15.0%
5.121 1
 
1.0%

AVG_ATEM
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)88.8%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean6.198382
Minimum4.359
Maximum6.706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:23.545872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.359
5-th percentile4.6064
Q16.455
median6.524
Q36.636
95-th percentile6.673
Maximum6.706
Range2.347
Interquartile range (IQR)0.181

Descriptive statistics

Standard deviation0.76219126
Coefficient of variation (CV)0.12296616
Kurtosis0.63587741
Mean6.198382
Median Absolute Deviation (MAD)0.11
Skewness-1.5720358
Sum551.656
Variance0.58093551
MonotonicityNot monotonic
2024-03-13T21:37:23.776904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.63 2
 
2.0%
6.492 2
 
2.0%
6.591 2
 
2.0%
6.653 2
 
2.0%
6.524 2
 
2.0%
6.503 2
 
2.0%
6.664 2
 
2.0%
6.669 2
 
2.0%
6.642 2
 
2.0%
6.673 2
 
2.0%
Other values (69) 69
69.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
4.359 1
1.0%
4.363 1
1.0%
4.434 1
1.0%
4.552 1
1.0%
4.596 1
1.0%
4.622 1
1.0%
4.638 1
1.0%
4.657 1
1.0%
4.664 1
1.0%
4.7 1
1.0%
ValueCountFrequency (%)
6.706 1
1.0%
6.681 1
1.0%
6.677 1
1.0%
6.675 1
1.0%
6.673 2
2.0%
6.672 1
1.0%
6.669 2
2.0%
6.667 1
1.0%
6.664 2
2.0%
6.663 1
1.0%

MONT_HU
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)92.1%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean59.771573
Minimum53.47
Maximum75.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:24.012994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.47
5-th percentile54.02
Q155.09
median57.31
Q359.46
95-th percentile73.764
Maximum75.39
Range21.92
Interquartile range (IQR)4.37

Descriptive statistics

Standard deviation6.8393864
Coefficient of variation (CV)0.1144254
Kurtosis0.34150686
Mean59.771573
Median Absolute Deviation (MAD)2.22
Skewness1.3769056
Sum5319.67
Variance46.777207
MonotonicityNot monotonic
2024-03-13T21:37:24.232248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
73.3 2
 
2.0%
73.5 2
 
2.0%
55.99 2
 
2.0%
55.09 2
 
2.0%
53.91 2
 
2.0%
59.84 2
 
2.0%
54.15 2
 
2.0%
55.82 1
 
1.0%
59.46 1
 
1.0%
55.42 1
 
1.0%
Other values (72) 72
72.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
53.47 1
1.0%
53.79 1
1.0%
53.91 2
2.0%
53.94 1
1.0%
54.14 1
1.0%
54.15 2
2.0%
54.2 1
1.0%
54.28 1
1.0%
54.32 1
1.0%
54.41 1
1.0%
ValueCountFrequency (%)
75.39 1
1.0%
75.19 1
1.0%
74.95 1
1.0%
74.75 1
1.0%
73.94 1
1.0%
73.5 2
2.0%
73.47 1
1.0%
73.3 2
2.0%
73.13 1
1.0%
72.96 1
1.0%

MIM_HU
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)10.1%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean56.580787
Minimum52.86
Maximum70.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:24.460236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.86
5-th percentile52.86
Q152.86
median52.86
Q355.23
95-th percentile70.49
Maximum70.49
Range17.63
Interquartile range (IQR)2.37

Descriptive statistics

Standard deviation6.9002079
Coefficient of variation (CV)0.1219532
Kurtosis0.26425587
Mean56.580787
Median Absolute Deviation (MAD)0
Skewness1.4603476
Sum5035.69
Variance47.612869
MonotonicityDecreasing
2024-03-13T21:37:24.639231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
52.86 66
66.0%
70.49 16
 
16.0%
67.66 1
 
1.0%
62.05 1
 
1.0%
60.83 1
 
1.0%
59.11 1
 
1.0%
57.9 1
 
1.0%
56.31 1
 
1.0%
55.23 1
 
1.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
52.86 66
66.0%
55.23 1
 
1.0%
56.31 1
 
1.0%
57.9 1
 
1.0%
59.11 1
 
1.0%
60.83 1
 
1.0%
62.05 1
 
1.0%
67.66 1
 
1.0%
70.49 16
 
16.0%
ValueCountFrequency (%)
70.49 16
 
16.0%
67.66 1
 
1.0%
62.05 1
 
1.0%
60.83 1
 
1.0%
59.11 1
 
1.0%
57.9 1
 
1.0%
56.31 1
 
1.0%
55.23 1
 
1.0%
52.86 66
66.0%

MXM_HU
Categorical

IMBALANCE 

Distinct6
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
75.87
74 
75.19
11 
<NA>
11 
75.43
 
2
72.86
 
1

Length

Max length5
Median length5
Mean length4.88
Min length4

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row72.86
2nd row73.6
3rd row75.19
4th row75.19
5th row75.19

Common Values

ValueCountFrequency (%)
75.87 74
74.0%
75.19 11
 
11.0%
<NA> 11
 
11.0%
75.43 2
 
2.0%
72.86 1
 
1.0%
73.6 1
 
1.0%

Length

2024-03-13T21:37:24.841595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:25.009835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
75.87 74
74.0%
75.19 11
 
11.0%
na 11
 
11.0%
75.43 2
 
2.0%
72.86 1
 
1.0%
73.6 1
 
1.0%

AVG_HU
Real number (ℝ)

MISSING 

Distinct86
Distinct (%)96.6%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean59.933146
Minimum53.54
Maximum75.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:25.198355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.54
5-th percentile54.162
Q155.28
median57.45
Q359.68
95-th percentile74.018
Maximum75.36
Range21.82
Interquartile range (IQR)4.4

Descriptive statistics

Standard deviation6.8111777
Coefficient of variation (CV)0.11364626
Kurtosis0.2338379
Mean59.933146
Median Absolute Deviation (MAD)2.23
Skewness1.3429984
Sum5334.05
Variance46.392142
MonotonicityNot monotonic
2024-03-13T21:37:25.471684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58.41 2
 
2.0%
54.41 2
 
2.0%
58.75 2
 
2.0%
58.8 1
 
1.0%
54.75 1
 
1.0%
56.28 1
 
1.0%
56.01 1
 
1.0%
55.82 1
 
1.0%
57.45 1
 
1.0%
58.81 1
 
1.0%
Other values (76) 76
76.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
53.54 1
1.0%
53.85 1
1.0%
53.95 1
1.0%
53.98 1
1.0%
54.13 1
1.0%
54.21 1
1.0%
54.24 1
1.0%
54.25 1
1.0%
54.41 2
2.0%
54.42 1
1.0%
ValueCountFrequency (%)
75.36 1
1.0%
75.02 1
1.0%
74.58 1
1.0%
74.49 1
1.0%
74.43 1
1.0%
73.4 1
1.0%
73.38 1
1.0%
73.22 1
1.0%
73.2 1
1.0%
73.15 1
1.0%

AVG_PRAMT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
89 
<NA>
11 

Length

Max length4
Median length1
Mean length1.33
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 89
89.0%
<NA> 11
 
11.0%

Length

2024-03-13T21:37:25.693292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:25.833121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 89
89.0%
na 11
 
11.0%

AVG_ARCSR
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)93.3%
Missing11
Missing (%)11.0%
Infinite0
Infinite (%)0.0%
Mean1028.9846
Minimum1028.641
Maximum1029.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:25.999966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1028.641
5-th percentile1028.6994
Q11028.77
median1028.987
Q31029.164
95-th percentile1029.3672
Maximum1029.4
Range0.759
Interquartile range (IQR)0.394

Descriptive statistics

Standard deviation0.23372174
Coefficient of variation (CV)0.00022713823
Kurtosis-1.2837491
Mean1028.9846
Median Absolute Deviation (MAD)0.21
Skewness0.3092164
Sum91579.631
Variance0.054625852
MonotonicityNot monotonic
2024-03-13T21:37:26.199945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1028.736 3
 
3.0%
1028.811 2
 
2.0%
1029.132 2
 
2.0%
1029.322 2
 
2.0%
1028.77 2
 
2.0%
1028.729 1
 
1.0%
1028.739 1
 
1.0%
1028.754 1
 
1.0%
1028.774 1
 
1.0%
1028.765 1
 
1.0%
Other values (73) 73
73.0%
(Missing) 11
 
11.0%
ValueCountFrequency (%)
1028.641 1
1.0%
1028.648 1
1.0%
1028.659 1
1.0%
1028.681 1
1.0%
1028.695 1
1.0%
1028.706 1
1.0%
1028.715 1
1.0%
1028.716 1
1.0%
1028.717 1
1.0%
1028.729 1
1.0%
ValueCountFrequency (%)
1029.4 1
1.0%
1029.381 1
1.0%
1029.374 1
1.0%
1029.371 1
1.0%
1029.37 1
1.0%
1029.363 1
1.0%
1029.355 1
1.0%
1029.354 1
1.0%
1029.339 1
1.0%
1029.335 1
1.0%

AVG_SLRQT
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
89 
<NA>
11 

Length

Max length4
Median length1
Mean length1.33
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 89
89.0%
<NA> 11
 
11.0%

Length

2024-03-13T21:37:26.387041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:26.544898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 89
89.0%
na 11
 
11.0%

SNSHN_QY
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
0
89 
<NA>
11 

Length

Max length4
Median length1
Mean length1.33
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 89
89.0%
<NA> 11
 
11.0%

Length

2024-03-13T21:37:26.709377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T21:37:26.852928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 89
89.0%
na 11
 
11.0%

WTCH_TDLV
Real number (ℝ)

Distinct45
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3031
Minimum2.706
Maximum3.926
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-13T21:37:27.024937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.706
5-th percentile2.7755
Q13.011
median3.276
Q33.631
95-th percentile3.8865
Maximum3.926
Range1.22
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation0.36341894
Coefficient of variation (CV)0.11002359
Kurtosis-1.2249157
Mean3.3031
Median Absolute Deviation (MAD)0.32
Skewness0.086074465
Sum330.31
Variance0.13207332
MonotonicityDecreasing
2024-03-13T21:37:27.244154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
2.956 5
 
5.0%
2.836 5
 
5.0%
3.146 4
 
4.0%
3.016 4
 
4.0%
3.516 4
 
4.0%
3.086 4
 
4.0%
2.896 4
 
4.0%
3.336 4
 
4.0%
3.456 4
 
4.0%
3.896 4
 
4.0%
Other values (35) 58
58.0%
ValueCountFrequency (%)
2.706 3
3.0%
2.736 1
 
1.0%
2.766 1
 
1.0%
2.776 3
3.0%
2.806 1
 
1.0%
2.836 5
5.0%
2.876 1
 
1.0%
2.896 4
4.0%
2.956 5
5.0%
2.996 1
 
1.0%
ValueCountFrequency (%)
3.926 1
 
1.0%
3.896 4
4.0%
3.886 1
 
1.0%
3.836 4
4.0%
3.816 1
 
1.0%
3.796 1
 
1.0%
3.776 4
4.0%
3.726 1
 
1.0%
3.716 1
 
1.0%
3.706 3
3.0%

Sample

WTCH_DTGGE_LAGGE_LA_BRNGGGE_LOGGE_LO_BRNGGSWD_WNDRCTAVG_WNDRCTGSWD_WNSPDMONT_WNSPDMIM_WNSPDMXM_WNSPDAVG_WNSPDMONT_TEMMIM_TEMMXM_TEMAVG_ATEMMONT_HUMIM_HUMXM_HUAVG_HUAVG_PRAMTAVG_ARCSRAVG_SLRQTSNSHN_QYWTCH_TDLV
02023010100000035.719923N126.515028E53.353.873.4633.0122.8373.4723.1224.9324.3645.1214.77570.8770.4972.8670.7301029.4003.926
12023010100010035.719923N126.515028E53.352.763.4632.851.9183.4722.5914.9794.3645.2154.82473.570.4973.672.1401029.381003.896
22023010100020035.719923N126.515028E53.350.553.4633.081.9183.4723.04.8374.3645.2154.76975.1970.4975.1974.4301029.371003.896
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