Overview

Dataset statistics

Number of variables24
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory217.7 B

Variable types

DateTime1
Categorical14
Numeric9

Dataset

DescriptionSample
Author올시데이터
URLhttps://www.bigdata-sea.kr/datasearch/base/view.do?prodId=PROD_000363

Alerts

MMSI has constant value ""Constant
IMO_IDNTF_NO has constant value ""Constant
DRAFT has constant value ""Constant
CRG_TYP has constant value ""Constant
ADDTI_RSTC has constant value ""Constant
TOT_RSTC has constant value ""Constant
RL_POWER has constant value ""Constant
FUEL_CNSMP_QTY has constant value ""Constant
CDBX has constant value ""Constant
NOX has constant value ""Constant
SOX has constant value ""Constant
MTHN has constant value ""Constant
SHIP_NRG_EFFCN_NVGTN_IDX has constant value ""Constant
YMD has unique valuesUnique
VE has unique valuesUnique
NVGTN_DIST has unique valuesUnique
WNDRC_U has unique valuesUnique
WNDRC_V has unique valuesUnique
RN has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:44:16.908627
Analysis finished2023-12-10 14:44:17.175739
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

YMD
Date

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2021-04-15 18:00:00
Maximum2021-04-27 18:00:00
2023-12-10T23:44:17.253019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:44:17.410039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

MMSI
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
100000001
49 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100000001
2nd row100000001
3rd row100000001
4th row100000001
5th row100000001

Common Values

ValueCountFrequency (%)
100000001 49
100.0%

Length

2023-12-10T23:44:17.912022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:18.020644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100000001 49
100.0%

LA
Real number (ℝ)

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8149537
Minimum2.81492
Maximum2.81498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:18.121720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.81492
5-th percentile2.814934
Q12.81494
median2.81495
Q32.81496
95-th percentile2.81498
Maximum2.81498
Range6 × 10-5
Interquartile range (IQR)2 × 10-5

Descriptive statistics

Standard deviation1.4096967 × 10-5
Coefficient of variation (CV)5.0078861 × 10-6
Kurtosis-0.1843567
Mean2.8149537
Median Absolute Deviation (MAD)1 × 10-5
Skewness0.18956381
Sum137.93273
Variance1.9872449 × 10-10
MonotonicityNot monotonic
2023-12-10T23:44:18.245133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2.81495 16
32.7%
2.81496 10
20.4%
2.81494 10
20.4%
2.81498 5
 
10.2%
2.81497 5
 
10.2%
2.81493 2
 
4.1%
2.81492 1
 
2.0%
ValueCountFrequency (%)
2.81492 1
 
2.0%
2.81493 2
 
4.1%
2.81494 10
20.4%
2.81495 16
32.7%
2.81496 10
20.4%
2.81497 5
 
10.2%
2.81498 5
 
10.2%
ValueCountFrequency (%)
2.81498 5
 
10.2%
2.81497 5
 
10.2%
2.81496 10
20.4%
2.81495 16
32.7%
2.81494 10
20.4%
2.81493 2
 
4.1%
2.81492 1
 
2.0%

LO
Real number (ℝ)

Distinct7
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8311916
Minimum9.83116
Maximum9.83122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:18.377960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.83116
5-th percentile9.83116
Q19.83118
median9.8312
Q39.8312
95-th percentile9.83121
Maximum9.83122
Range6 × 10-5
Interquartile range (IQR)2 × 10-5

Descriptive statistics

Standard deviation1.5185923 × 10-5
Coefficient of variation (CV)1.5446675 × 10-6
Kurtosis-0.40880757
Mean9.8311916
Median Absolute Deviation (MAD)1 × 10-5
Skewness-0.51123689
Sum481.72839
Variance2.3061224 × 10-10
MonotonicityNot monotonic
2023-12-10T23:44:18.548023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
9.8312 16
32.7%
9.83118 11
22.4%
9.83121 8
16.3%
9.83119 7
14.3%
9.83116 4
 
8.2%
9.83117 2
 
4.1%
9.83122 1
 
2.0%
ValueCountFrequency (%)
9.83116 4
 
8.2%
9.83117 2
 
4.1%
9.83118 11
22.4%
9.83119 7
14.3%
9.8312 16
32.7%
9.83121 8
16.3%
9.83122 1
 
2.0%
ValueCountFrequency (%)
9.83122 1
 
2.0%
9.83121 8
16.3%
9.8312 16
32.7%
9.83119 7
14.3%
9.83118 11
22.4%
9.83117 2
 
4.1%
9.83116 4
 
8.2%

VE
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.00085474086
Minimum0.000260511
Maximum0.00214718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:18.719076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.000260511
5-th percentile0.0003662274
Q10.000561094
median0.000803846
Q30.000987567
95-th percentile0.001573226
Maximum0.00214718
Range0.001886669
Interquartile range (IQR)0.000426473

Descriptive statistics

Standard deviation0.00039964414
Coefficient of variation (CV)0.46756176
Kurtosis1.4172686
Mean0.00085474086
Median Absolute Deviation (MAD)0.000232344
Skewness1.1381307
Sum0.041882302
Variance1.5971544 × 10-7
MonotonicityNot monotonic
2023-12-10T23:44:18.916867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.00161255 1
 
2.0%
0.000440835 1
 
2.0%
0.0004794 1
 
2.0%
0.00112947 1
 
2.0%
0.000636884 1
 
2.0%
0.00133108 1
 
2.0%
0.000503739 1
 
2.0%
0.000680295 1
 
2.0%
0.00151424 1
 
2.0%
0.00120282 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0.000260511 1
2.0%
0.000299563 1
2.0%
0.000340857 1
2.0%
0.000404283 1
2.0%
0.000440835 1
2.0%
0.000467766 1
2.0%
0.0004794 1
2.0%
0.000503457 1
2.0%
0.000503739 1
2.0%
0.00051681 1
2.0%
ValueCountFrequency (%)
0.00214718 1
2.0%
0.00181169 1
2.0%
0.00161255 1
2.0%
0.00151424 1
2.0%
0.00144926 1
2.0%
0.00140546 1
2.0%
0.00133108 1
2.0%
0.00133018 1
2.0%
0.00120282 1
2.0%
0.00112947 1
2.0%

SH_DRCN
Categorical

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
210
16 
211
16 
209
11 
212
5 
511
 
1

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row212
2nd row210
3rd row210
4th row211
5th row211

Common Values

ValueCountFrequency (%)
210 16
32.7%
211 16
32.7%
209 11
22.4%
212 5
 
10.2%
511 1
 
2.0%

Length

2023-12-10T23:44:19.080666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:19.220008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
210 16
32.7%
211 16
32.7%
209 11
22.4%
212 5
 
10.2%
511 1
 
2.0%

IMO_IDNTF_NO
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
7924932
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row7924932
2nd row7924932
3rd row7924932
4th row7924932
5th row7924932

Common Values

ValueCountFrequency (%)
7924932 49
100.0%

Length

2023-12-10T23:44:19.348894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:19.451955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
7924932 49
100.0%

DRAFT
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:19.564968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:19.654152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

CRG_TYP
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:19.778366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:19.908089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

NVGTN_DIST
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4979049
Minimum2.89481
Maximum23.8596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:20.049420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.89481
5-th percentile4.069526
Q16.23489
median8.93236
Q310.9739
95-th percentile17.48174
Maximum23.8596
Range20.96479
Interquartile range (IQR)4.73901

Descriptive statistics

Standard deviation4.4408607
Coefficient of variation (CV)0.46756213
Kurtosis1.4172927
Mean9.4979049
Median Absolute Deviation (MAD)2.58184
Skewness1.1381352
Sum465.39734
Variance19.721243
MonotonicityNot monotonic
2023-12-10T23:44:20.192969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
17.9187 1
 
2.0%
4.89858 1
 
2.0%
5.3271 1
 
2.0%
12.5507 1
 
2.0%
7.07707 1
 
2.0%
14.791 1
 
2.0%
5.59756 1
 
2.0%
7.55946 1
 
2.0%
16.8263 1
 
2.0%
13.3658 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2.89481 1
2.0%
3.32876 1
2.0%
3.78761 1
2.0%
4.4924 1
2.0%
4.89858 1
2.0%
5.19782 1
2.0%
5.3271 1
2.0%
5.59442 1
2.0%
5.59756 1
2.0%
5.7428 1
2.0%
ValueCountFrequency (%)
23.8596 1
2.0%
20.1315 1
2.0%
17.9187 1
2.0%
16.8263 1
2.0%
16.1042 1
2.0%
15.6175 1
2.0%
14.791 1
2.0%
14.781 1
2.0%
13.3658 1
2.0%
12.5507 1
2.0%

WAVE_HGHT
Real number (ℝ)

Distinct19
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.005102
Minimum0.88
Maximum1.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:20.329193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.88
5-th percentile0.93
Q10.96
median1
Q31.02
95-th percentile1.148
Maximum1.2
Range0.32
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.066680908
Coefficient of variation (CV)0.066342427
Kurtosis1.8877889
Mean1.005102
Median Absolute Deviation (MAD)0.03
Skewness1.1690289
Sum49.25
Variance0.0044463435
MonotonicityNot monotonic
2023-12-10T23:44:20.455995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.01 9
18.4%
1.03 5
10.2%
0.98 4
 
8.2%
0.99 4
 
8.2%
0.95 4
 
8.2%
1.0 3
 
6.1%
0.96 3
 
6.1%
1.02 2
 
4.1%
0.94 2
 
4.1%
0.97 2
 
4.1%
Other values (9) 11
22.4%
ValueCountFrequency (%)
0.88 1
 
2.0%
0.89 1
 
2.0%
0.93 2
4.1%
0.94 2
4.1%
0.95 4
8.2%
0.96 3
6.1%
0.97 2
4.1%
0.98 4
8.2%
0.99 4
8.2%
1.0 3
6.1%
ValueCountFrequency (%)
1.2 1
 
2.0%
1.19 1
 
2.0%
1.16 1
 
2.0%
1.13 1
 
2.0%
1.11 2
 
4.1%
1.06 1
 
2.0%
1.03 5
10.2%
1.02 2
 
4.1%
1.01 9
18.4%
1.0 3
 
6.1%

WAVE_CYCL
Real number (ℝ)

Distinct24
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.345555
Minimum11.7647
Maximum20.4082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:20.584025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11.7647
5-th percentile12.14288
Q112.987
median13.8889
Q315.3846
95-th percentile17.61082
Maximum20.4082
Range8.6435
Interquartile range (IQR)2.3976

Descriptive statistics

Standard deviation1.8110222
Coefficient of variation (CV)0.12624274
Kurtosis1.8075798
Mean14.345555
Median Absolute Deviation (MAD)0.9019
Skewness1.2251671
Sum702.9322
Variance3.2798015
MonotonicityNot monotonic
2023-12-10T23:44:20.745745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
13.3333 4
 
8.2%
14.2857 4
 
8.2%
15.625 3
 
6.1%
13.6986 3
 
6.1%
12.987 3
 
6.1%
14.7059 3
 
6.1%
13.5135 3
 
6.1%
14.4928 3
 
6.1%
12.6582 3
 
6.1%
11.9048 2
 
4.1%
Other values (14) 18
36.7%
ValueCountFrequency (%)
11.7647 1
 
2.0%
11.9048 2
4.1%
12.5 2
4.1%
12.6582 3
6.1%
12.8205 2
4.1%
12.987 3
6.1%
13.1579 1
 
2.0%
13.3333 4
8.2%
13.5135 3
6.1%
13.6986 3
6.1%
ValueCountFrequency (%)
20.4082 1
 
2.0%
18.8679 1
 
2.0%
17.8571 1
 
2.0%
17.2414 1
 
2.0%
16.6667 2
4.1%
16.3934 1
 
2.0%
16.129 1
 
2.0%
15.625 3
6.1%
15.3846 2
4.1%
15.1515 1
 
2.0%

WNDRC_U
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.91374232
Minimum-3.42334
Maximum4.21138
Zeros0
Zeros (%)0.0%
Negative17
Negative (%)34.7%
Memory size573.0 B
2023-12-10T23:44:20.933606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.42334
5-th percentile-1.45711
Q1-0.430667
median0.85002
Q32.06735
95-th percentile3.485266
Maximum4.21138
Range7.63472
Interquartile range (IQR)2.498017

Descriptive statistics

Standard deviation1.7203336
Coefficient of variation (CV)1.8827338
Kurtosis-0.6232491
Mean0.91374232
Median Absolute Deviation (MAD)1.280687
Skewness-0.13258249
Sum44.773374
Variance2.9595477
MonotonicityNot monotonic
2023-12-10T23:44:21.128218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1.84674 1
 
2.0%
-1.4389 1
 
2.0%
2.97131 1
 
2.0%
2.06735 1
 
2.0%
-0.911157 1
 
2.0%
2.65686 1
 
2.0%
1.30912 1
 
2.0%
2.59404 1
 
2.0%
0.152 1
 
2.0%
-1.23896 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-3.42334 1
2.0%
-1.58276 1
2.0%
-1.46925 1
2.0%
-1.4389 1
2.0%
-1.2589 1
2.0%
-1.23896 1
2.0%
-1.20772 1
2.0%
-0.911157 1
2.0%
-0.7953 1
2.0%
-0.702507 1
2.0%
ValueCountFrequency (%)
4.21138 1
2.0%
3.82243 1
2.0%
3.49085 1
2.0%
3.47689 1
2.0%
3.33284 1
2.0%
2.97131 1
2.0%
2.67509 1
2.0%
2.66406 1
2.0%
2.65686 1
2.0%
2.59404 1
2.0%

WNDRC_V
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88969114
Minimum-1.95871
Maximum3.02239
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)28.6%
Memory size573.0 B
2023-12-10T23:44:21.294430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.95871
5-th percentile-1.280044
Q1-0.15014
median1.13436
Q31.92574
95-th percentile2.576768
Maximum3.02239
Range4.9811
Interquartile range (IQR)2.07588

Descriptive statistics

Standard deviation1.3361684
Coefficient of variation (CV)1.501834
Kurtosis-0.80220624
Mean0.88969114
Median Absolute Deviation (MAD)0.90441
Skewness-0.52674004
Sum43.594866
Variance1.7853459
MonotonicityNot monotonic
2023-12-10T23:44:21.450959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
3.02239 1
 
2.0%
-1.2878 1
 
2.0%
-1.08813 1
 
2.0%
1.54436 1
 
2.0%
2.69222 1
 
2.0%
-1.90455 1
 
2.0%
1.72051 1
 
2.0%
2.13687 1
 
2.0%
2.13433 1
 
2.0%
1.98248 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-1.95871 1
2.0%
-1.90455 1
2.0%
-1.2878 1
2.0%
-1.26841 1
2.0%
-1.14817 1
2.0%
-1.08813 1
2.0%
-0.993682 1
2.0%
-0.913013 1
2.0%
-0.675627 1
2.0%
-0.626201 1
2.0%
ValueCountFrequency (%)
3.02239 1
2.0%
2.69222 1
2.0%
2.6209 1
2.0%
2.51057 1
2.0%
2.49062 1
2.0%
2.4259 1
2.0%
2.30091 1
2.0%
2.13687 1
2.0%
2.13433 1
2.0%
2.09854 1
2.0%

ADDTI_RSTC
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
17063300
49 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row17063300
2nd row17063300
3rd row17063300
4th row17063300
5th row17063300

Common Values

ValueCountFrequency (%)
17063300 49
100.0%

Length

2023-12-10T23:44:21.583034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:21.687300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17063300 49
100.0%

TOT_RSTC
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
15.8726
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row15.8726
2nd row15.8726
3rd row15.8726
4th row15.8726
5th row15.8726

Common Values

ValueCountFrequency (%)
15.8726 49
100.0%

Length

2023-12-10T23:44:21.793052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:21.895744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
15.8726 49
100.0%

RL_POWER
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:22.005715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:22.119574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

FUEL_CNSMP_QTY
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:22.206920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:22.311913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

CDBX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:22.412671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:22.500531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

NOX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:22.606256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:22.718433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

SOX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:22.812313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:22.904630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

MTHN
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:22.992030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:23.090042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

SHIP_NRG_EFFCN_NVGTN_IDX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
0
49 

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 49
100.0%

Length

2023-12-10T23:44:23.198631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:44:23.294148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

RN
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum2
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:44:23.391424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4.4
Q114
median26
Q338
95-th percentile47.6
Maximum50
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.54956501
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)12
Skewness0
Sum1274
Variance204.16667
MonotonicityStrictly increasing
2023-12-10T23:44:23.528097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
11 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

Sample

YMDMMSILALOVESH_DRCNIMO_IDNTF_NODRAFTCRG_TYPNVGTN_DISTWAVE_HGHTWAVE_CYCLWNDRC_UWNDRC_VADDTI_RSTCTOT_RSTCRL_POWERFUEL_CNSMP_QTYCDBXNOXSOXMTHNSHIP_NRG_EFFCN_NVGTN_IDXRN
015-Apr-2021 18:00:001000000012.814959.83120.00161321279249320017.91870.9811.90481.846743.022391706330015.872600000002
116-Apr-2021 00:00:001000000012.814969.831210.00092321079249320010.25691.0211.7647-0.7025071.769071706330015.872600000003
216-Apr-2021 06:00:001000000012.814969.831170.0006862107924932007.62480.9913.6986-1.582761.925741706330015.872600000004
316-Apr-2021 12:00:001000000012.814969.83120.000832117924932009.21951.0312.9871.184231.702111706330015.872600000005
416-Apr-2021 18:00:001000000012.814989.831160.0008972117924932009.969191.012.82051.290260.7323191706330015.872600000006
517-Apr-2021 00:00:001000000012.814929.831210.0008752117924932009.724361.0113.3333-3.42334-1.148171706330015.872600000007
617-Apr-2021 06:00:001000000012.814949.831180.0008042117924932008.932361.013.15790.2324780.9106251706330015.872600000008
717-Apr-2021 12:00:001000000012.814959.831190.0007622107924932008.467841.0112.52.28365-0.1330231706330015.872600000009
817-Apr-2021 18:00:001000000012.814939.831210.00107821179249320011.97711.0314.49282.030422.098541706330015.8726000000010
918-Apr-2021 00:00:001000000012.814979.83120.00032117924932003.328761.0114.28570.7509091.064261706330015.8726000000011
YMDMMSILALOVESH_DRCNIMO_IDNTF_NODRAFTCRG_TYPNVGTN_DISTWAVE_HGHTWAVE_CYCLWNDRC_UWNDRC_VADDTI_RSTCTOT_RSTCRL_POWERFUEL_CNSMP_QTYCDBXNOXSOXMTHNSHIP_NRG_EFFCN_NVGTN_IDXRN
3925-Apr-2021 12:00:001000000012.814959.831190.0006972117924932007.746440.9415.6253.33284-0.2925711706330015.8726000000041
4025-Apr-2021 18:00:001000000012.814949.831210.0008222097924932009.132240.9815.15151.744372.490621706330015.8726000000042
4126-Apr-2021 00:00:001000000012.814969.83120.00144921179249320016.10421.0214.7059-0.3801290.26741706330015.8726000000043
4226-Apr-2021 06:00:001000000012.814949.831220.0004042107924932004.49241.0114.2857-1.469250.7915211706330015.8726000000044
4326-Apr-2021 12:00:001000000012.814959.83120.0008852127924932009.838660.9613.88893.47689-1.268411706330015.8726000000045
4426-Apr-2021 18:00:001000000012.814969.831160.0005232097924932005.810520.9413.51351.9482.42591706330015.8726000000046
4527-Apr-2021 00:00:001000000012.814959.83120.0008812097924932009.789170.9913.51350.1142111.509811706330015.8726000000047
4627-Apr-2021 06:00:001000000012.814959.831180.0005922097924932006.580711.013.3333-0.4306671.463171706330015.8726000000048
4727-Apr-2021 12:00:001000000012.814959.831180.00097321079249320010.80991.0112.9872.675091.892531706330015.8726000000049
4827-Apr-2021 18:00:001000000012.814949.83120.0007152117924932007.942791.0612.65822.0052.038771706330015.8726000000050