Overview

Dataset statistics

Number of variables23
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.0 KiB
Average record size in memory208.7 B

Variable types

DateTime1
Categorical13
Numeric9

Dataset

DescriptionSample
Author올시데이터
URLhttps://www.bigdata-sea.kr/datasearch/base/view.do?prodId=PROD_001287

Alerts

MMSI has constant value ""Constant
IMO_IDNTF_NO has constant value ""Constant
SH_DRCN has constant value ""Constant
DRAFT 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
LA has unique valuesUnique
LO 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 14:51:38.986863
Analysis finished2023-12-10 14:51:39.205978
Duration0.22 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
Minimum2023-02-09 12:00:00
Maximum2023-02-21 12:00:00
2023-12-10T23:51:39.280146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:51:39.457871image/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
205011000
49 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row205011000
2nd row205011000
3rd row205011000
4th row205011000
5th row205011000

Common Values

ValueCountFrequency (%)
205011000 49
100.0%

Length

2023-12-10T23:51:39.630831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:39.730326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
205011000 49
100.0%

IMO_IDNTF_NO
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
9356517
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9356517
2nd row9356517
3rd row9356517
4th row9356517
5th row9356517

Common Values

ValueCountFrequency (%)
9356517 49
100.0%

Length

2023-12-10T23:51:39.835238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:39.933385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9356517 49
100.0%

LA
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52.605523
Minimum52.263
Maximum52.948002
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:51:40.033328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.263
5-th percentile52.29732
Q152.434299
median52.605499
Q352.776798
95-th percentile52.913779
Maximum52.948002
Range0.685002
Interquartile range (IQR)0.342499

Descriptive statistics

Standard deviation0.20389753
Coefficient of variation (CV)0.003875972
Kurtosis-1.1999791
Mean52.605523
Median Absolute Deviation (MAD)0.171299
Skewness-4.4127126 × 10-5
Sum2577.6706
Variance0.041574203
MonotonicityStrictly decreasing
2023-12-10T23:51:40.208380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
52.948002 1
 
2.0%
52.419998 1
 
2.0%
52.562698 1
 
2.0%
52.548401 1
 
2.0%
52.534199 1
 
2.0%
52.519901 1
 
2.0%
52.5056 1
 
2.0%
52.491402 1
 
2.0%
52.4771 1
 
2.0%
52.462799 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
52.263 1
2.0%
52.277302 1
2.0%
52.291599 1
2.0%
52.305901 1
2.0%
52.320099 1
2.0%
52.3344 1
2.0%
52.348701 1
2.0%
52.3629 1
2.0%
52.377201 1
2.0%
52.391499 1
2.0%
ValueCountFrequency (%)
52.948002 1
2.0%
52.933701 1
2.0%
52.919498 1
2.0%
52.905201 1
2.0%
52.8909 1
2.0%
52.876598 1
2.0%
52.8624 1
2.0%
52.848099 1
2.0%
52.833801 1
2.0%
52.819599 1
2.0%

LO
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.125803
Minimum8.28628
Maximum11.9653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:51:40.429092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.28628
5-th percentile8.47023
Q19.20604
median10.1258
Q311.0456
95-th percentile11.78136
Maximum11.9653
Range3.67902
Interquartile range (IQR)1.83956

Descriptive statistics

Standard deviation1.0951814
Coefficient of variation (CV)0.10815748
Kurtosis-1.200008
Mean10.125803
Median Absolute Deviation (MAD)0.9198
Skewness-7.5641454 × 10-6
Sum496.16437
Variance1.1994223
MonotonicityStrictly decreasing
2023-12-10T23:51:40.680482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
11.9653 1
 
2.0%
9.12939 1
 
2.0%
9.89586 1
 
2.0%
9.81922 1
 
2.0%
9.74257 1
 
2.0%
9.66592 1
 
2.0%
9.58928 1
 
2.0%
9.51263 1
 
2.0%
9.43598 1
 
2.0%
9.35933 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
8.28628 1
2.0%
8.36293 1
2.0%
8.43957 1
2.0%
8.51622 1
2.0%
8.59287 1
2.0%
8.66951 1
2.0%
8.74616 1
2.0%
8.82281 1
2.0%
8.89945 1
2.0%
8.9761 1
2.0%
ValueCountFrequency (%)
11.9653 1
2.0%
11.8887 1
2.0%
11.812 1
2.0%
11.7354 1
2.0%
11.6587 1
2.0%
11.5821 1
2.0%
11.5054 1
2.0%
11.4288 1
2.0%
11.3522 1
2.0%
11.2755 1
2.0%

VE
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48711053
Minimum0.483609
Maximum0.4906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:51:40.838612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.483609
5-th percentile0.48397
Q10.485371
median0.487124
Q30.488859
95-th percentile0.490242
Maximum0.4906
Range0.006991
Interquartile range (IQR)0.003488

Descriptive statistics

Standard deviation0.0020722511
Coefficient of variation (CV)0.0042541703
Kurtosis-1.198352
Mean0.48711053
Median Absolute Deviation (MAD)0.001753
Skewness-0.0051547121
Sum23.868416
Variance4.2942248 × 10-6
MonotonicityStrictly increasing
2023-12-10T23:51:41.005830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0.483609 1
 
2.0%
0.488984 1
 
2.0%
0.487529 1
 
2.0%
0.487699 1
 
2.0%
0.487845 1
 
2.0%
0.487979 1
 
2.0%
0.488119 1
 
2.0%
0.488284 1
 
2.0%
0.488429 1
 
2.0%
0.488554 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0.483609 1
2.0%
0.483775 1
2.0%
0.483926 1
2.0%
0.484036 1
2.0%
0.484212 1
2.0%
0.484363 1
2.0%
0.484493 1
2.0%
0.484639 1
2.0%
0.484804 1
2.0%
0.48494 1
2.0%
ValueCountFrequency (%)
0.4906 1
2.0%
0.490421 1
2.0%
0.490296 1
2.0%
0.490161 1
2.0%
0.490007 1
2.0%
0.489857 1
2.0%
0.489722 1
2.0%
0.489568 1
2.0%
0.489428 1
2.0%
0.489278 1
2.0%

SH_DRCN
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

2023-12-10T23:51:41.176735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:41.284565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

DRAFT
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
5.6
49 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5.6
2nd row5.6
3rd row5.6
4th row5.6
5th row5.6

Common Values

ValueCountFrequency (%)
5.6 49
100.0%

Length

2023-12-10T23:51:41.396405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:41.507182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5.6 49
100.0%

NVGTN_DIST
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9226706
Minimum2.90166
Maximum2.94361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:51:41.695390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.90166
5-th percentile2.903824
Q12.91224
median2.92275
Q32.93316
95-th percentile2.94146
Maximum2.94361
Range0.04195
Interquartile range (IQR)0.02092

Descriptive statistics

Standard deviation0.012433889
Coefficient of variation (CV)0.0042542901
Kurtosis-1.1983101
Mean2.9226706
Median Absolute Deviation (MAD)0.01051
Skewness-0.0052223549
Sum143.21086
Variance0.00015460159
MonotonicityStrictly increasing
2023-12-10T23:51:41.893483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2.90166 1
 
2.0%
2.93391 1
 
2.0%
2.92518 1
 
2.0%
2.92621 1
 
2.0%
2.92707 1
 
2.0%
2.92788 1
 
2.0%
2.92873 1
 
2.0%
2.92971 1
 
2.0%
2.93058 1
 
2.0%
2.93133 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2.90166 1
2.0%
2.90266 1
2.0%
2.90356 1
2.0%
2.90422 1
2.0%
2.90528 1
2.0%
2.90618 1
2.0%
2.90697 1
2.0%
2.90784 1
2.0%
2.90883 1
2.0%
2.90964 1
2.0%
ValueCountFrequency (%)
2.94361 1
2.0%
2.94253 1
2.0%
2.94178 1
2.0%
2.94098 1
2.0%
2.94005 1
2.0%
2.93915 1
2.0%
2.93834 1
2.0%
2.93741 1
2.0%
2.93658 1
2.0%
2.93568 1
2.0%

WAVE_HGHT
Real number (ℝ)

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.277551
Minimum0.22
Maximum3.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:51:42.054263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.22
5-th percentile0.276
Q10.69
median1.14
Q31.69
95-th percentile2.848
Maximum3.48
Range3.26
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.81527994
Coefficient of variation (CV)0.63815842
Kurtosis0.1559889
Mean1.277551
Median Absolute Deviation (MAD)0.54
Skewness0.83791778
Sum62.6
Variance0.66468138
MonotonicityNot monotonic
2023-12-10T23:51:42.578620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0.39 3
 
6.1%
1.68 1
 
2.0%
0.86 1
 
2.0%
0.8 1
 
2.0%
1.36 1
 
2.0%
1.78 1
 
2.0%
3.09 1
 
2.0%
3.48 1
 
2.0%
2.71 1
 
2.0%
1.67 1
 
2.0%
Other values (37) 37
75.5%
ValueCountFrequency (%)
0.22 1
 
2.0%
0.24 1
 
2.0%
0.26 1
 
2.0%
0.3 1
 
2.0%
0.33 1
 
2.0%
0.39 3
6.1%
0.4 1
 
2.0%
0.48 1
 
2.0%
0.57 1
 
2.0%
0.6 1
 
2.0%
ValueCountFrequency (%)
3.48 1
2.0%
3.09 1
2.0%
2.94 1
2.0%
2.71 1
2.0%
2.65 1
2.0%
2.51 1
2.0%
2.15 1
2.0%
2.09 1
2.0%
2.07 1
2.0%
1.83 1
2.0%

WAVE_CYCL
Real number (ℝ)

Distinct42
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.9835486
Minimum2.08768
Maximum9.00901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:51:42.756320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.08768
5-th percentile2.729024
Q15.15464
median6.21118
Q36.99301
95-th percentile7.788276
Maximum9.00901
Range6.92133
Interquartile range (IQR)1.83837

Descriptive statistics

Standard deviation1.4964894
Coefficient of variation (CV)0.25010065
Kurtosis0.65446439
Mean5.9835486
Median Absolute Deviation (MAD)0.88102
Skewness-0.81897595
Sum293.19388
Variance2.2394804
MonotonicityNot monotonic
2023-12-10T23:51:42.936974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6.09756 2
 
4.1%
5.55556 2
 
4.1%
5.88235 2
 
4.1%
7.14286 2
 
4.1%
6.71141 2
 
4.1%
6.75676 2
 
4.1%
6.45161 2
 
4.1%
5.15464 1
 
2.0%
7.63359 1
 
2.0%
9.00901 1
 
2.0%
Other values (32) 32
65.3%
ValueCountFrequency (%)
2.08768 1
2.0%
2.42131 1
2.0%
2.68096 1
2.0%
2.80112 1
2.0%
4.0 1
2.0%
4.01606 1
2.0%
4.38596 1
2.0%
4.69484 1
2.0%
4.78469 1
2.0%
4.90196 1
2.0%
ValueCountFrequency (%)
9.00901 1
2.0%
8.26446 1
2.0%
7.8125 1
2.0%
7.75194 1
2.0%
7.63359 1
2.0%
7.40741 1
2.0%
7.35294 1
2.0%
7.19424 1
2.0%
7.14286 2
4.1%
7.0922 1
2.0%

WNDRC_U
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9287448
Minimum-1.32925
Maximum11.3126
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)12.2%
Memory size573.0 B
2023-12-10T23:51:43.122766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.32925
5-th percentile-1.0384904
Q12.20074
median3.2438
Q35.80186
95-th percentile9.546664
Maximum11.3126
Range12.64185
Interquartile range (IQR)3.60112

Descriptive statistics

Standard deviation3.0818611
Coefficient of variation (CV)0.78443912
Kurtosis-0.21941863
Mean3.9287448
Median Absolute Deviation (MAD)1.55732
Skewness0.34507131
Sum192.50849
Variance9.4978678
MonotonicityNot monotonic
2023-12-10T23:51:43.317885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
3.0601 1
 
2.0%
7.405 1
 
2.0%
2.47622 1
 
2.0%
3.2438 1
 
2.0%
2.20074 1
 
2.0%
3.76175 1
 
2.0%
4.73556 1
 
2.0%
9.52234 1
 
2.0%
9.99154 1
 
2.0%
7.30618 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-1.32925 1
2.0%
-1.30787 1
2.0%
-1.17779 1
2.0%
-0.829541 1
2.0%
-0.756194 1
2.0%
-0.507539 1
2.0%
0.143538 1
2.0%
1.58289 1
2.0%
1.68648 1
2.0%
1.70929 1
2.0%
ValueCountFrequency (%)
11.3126 1
2.0%
9.99154 1
2.0%
9.56288 1
2.0%
9.52234 1
2.0%
8.04763 1
2.0%
8.02223 1
2.0%
7.41063 1
2.0%
7.405 1
2.0%
7.30618 1
2.0%
6.78033 1
2.0%

WNDRC_V
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0539425
Minimum-4.70814
Maximum4.6511
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)26.5%
Memory size573.0 B
2023-12-10T23:51:43.505101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.70814
5-th percentile-2.163834
Q1-0.00868408
median1.553
Q32.22993
95-th percentile3.57503
Maximum4.6511
Range9.35924
Interquartile range (IQR)2.2386141

Descriptive statistics

Standard deviation1.8886773
Coefficient of variation (CV)1.7920116
Kurtosis0.83312751
Mean1.0539425
Median Absolute Deviation (MAD)1.18152
Skewness-0.7457991
Sum51.643184
Variance3.5671018
MonotonicityNot monotonic
2023-12-10T23:51:43.680057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4.27767 1
 
2.0%
-0.787952 1
 
2.0%
2.22993 1
 
2.0%
2.75496 1
 
2.0%
2.11935 1
 
2.0%
3.69979 1
 
2.0%
3.22247 1
 
2.0%
3.38789 1
 
2.0%
-3.00554 1
 
2.0%
-0.00868408 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-4.70814 1
2.0%
-3.00554 1
2.0%
-2.17437 1
2.0%
-2.14803 1
2.0%
-1.62325 1
2.0%
-1.59347 1
2.0%
-0.817275 1
2.0%
-0.787952 1
2.0%
-0.584268 1
2.0%
-0.562397 1
2.0%
ValueCountFrequency (%)
4.6511 1
2.0%
4.27767 1
2.0%
3.69979 1
2.0%
3.38789 1
2.0%
3.22247 1
2.0%
3.08562 1
2.0%
2.87795 1
2.0%
2.75496 1
2.0%
2.73452 1
2.0%
2.53958 1
2.0%

ADDTI_RSTC
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
3072.54
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3072.54
2nd row3072.54
3rd row3072.54
4th row3072.54
5th row3072.54

Common Values

ValueCountFrequency (%)
3072.54 49
100.0%

Length

2023-12-10T23:51:43.832812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:43.946801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3072.54 49
100.0%

TOT_RSTC
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
3732.72
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3732.72
2nd row3732.72
3rd row3732.72
4th row3732.72
5th row3732.72

Common Values

ValueCountFrequency (%)
3732.72 49
100.0%

Length

2023-12-10T23:51:44.071841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:44.192118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3732.72 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

2023-12-10T23:51:44.325529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:44.446834image/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
455137000
49 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row455137000
2nd row455137000
3rd row455137000
4th row455137000
5th row455137000

Common Values

ValueCountFrequency (%)
455137000 49
100.0%

Length

2023-12-10T23:51:44.573525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:44.699852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
455137000 49
100.0%

CDBX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
1417300000
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1417300000
2nd row1417300000
3rd row1417300000
4th row1417300000
5th row1417300000

Common Values

ValueCountFrequency (%)
1417300000 49
100.0%

Length

2023-12-10T23:51:44.819752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:44.923114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1417300000 49
100.0%

NOX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
5810120
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5810120
2nd row5810120
3rd row5810120
4th row5810120
5th row5810120

Common Values

ValueCountFrequency (%)
5810120 49
100.0%

Length

2023-12-10T23:51:45.044646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:45.151477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5810120 49
100.0%

SOX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
13096.4
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13096.4
2nd row13096.4
3rd row13096.4
4th row13096.4
5th row13096.4

Common Values

ValueCountFrequency (%)
13096.4 49
100.0%

Length

2023-12-10T23:51:45.273759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:45.420306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13096.4 49
100.0%

MTHN
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
3417.71
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3417.71
2nd row3417.71
3rd row3417.71
4th row3417.71
5th row3417.71

Common Values

ValueCountFrequency (%)
3417.71 49
100.0%

Length

2023-12-10T23:51:45.532644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:45.629895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3417.71 49
100.0%

SHIP_NRG_EFFCN_NVGTN_IDX
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
68.4113
49 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row68.4113
2nd row68.4113
3rd row68.4113
4th row68.4113
5th row68.4113

Common Values

ValueCountFrequency (%)
68.4113 49
100.0%

Length

2023-12-10T23:51:45.736944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:45.867222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
68.4113 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
2023-12-10T23:51:46.041804image/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
2023-12-10T23:51:46.246934image/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

YMDMMSIIMO_IDNTF_NOLALOVESH_DRCNDRAFTNVGTN_DISTWAVE_HGHTWAVE_CYCLWNDRC_UWNDRC_VADDTI_RSTCTOT_RSTCRL_POWERFUEL_CNSMP_QTYCDBXNOXSOXMTHNSHIP_NRG_EFFCN_NVGTN_IDXRN
009-Feb-2023 12:00:00205011000935651752.94800211.96530.48360905.62.901661.686.097563.06014.277673072.543732.7204551370001417300000581012013096.43417.7168.41132
109-Feb-2023 18:00:00205011000935651752.93370111.88870.48377505.62.902661.146.02413.046782.539583072.543732.7204551370001417300000581012013096.43417.7168.41133
210-Feb-2023 00:00:00205011000935651752.91949811.8120.48392605.62.903561.465.882353.773711.636343072.543732.7204551370001417300000581012013096.43417.7168.41134
310-Feb-2023 06:00:00205011000935651752.90520111.73540.48403605.62.904221.377.142863.564291.058393072.543732.7204551370001417300000581012013096.43417.7168.41135
410-Feb-2023 12:00:00205011000935651752.890911.65870.48421205.62.905281.575.076145.801861.660383072.543732.7204551370001417300000581012013096.43417.7168.41136
510-Feb-2023 18:00:00205011000935651752.87659811.58210.48436305.62.906182.096.211184.656683.085623072.543732.7204551370001417300000581012013096.43417.7168.41137
611-Feb-2023 00:00:00205011000935651752.862411.50540.48449305.62.906972.076.711416.349611.89513072.543732.7204551370001417300000581012013096.43417.7168.41138
711-Feb-2023 06:00:00205011000935651752.84809911.42880.48463905.62.907841.836.756765.563140.9102813072.543732.7204551370001417300000581012013096.43417.7168.41139
811-Feb-2023 12:00:00205011000935651752.83380111.35220.48480405.62.908831.696.451616.1252-0.8172753072.543732.7204551370001417300000581012013096.43417.7168.411310
911-Feb-2023 18:00:00205011000935651752.81959911.27550.4849405.62.909641.296.756764.6602-2.148033072.543732.7204551370001417300000581012013096.43417.7168.411311
YMDMMSIIMO_IDNTF_NOLALOVESH_DRCNDRAFTNVGTN_DISTWAVE_HGHTWAVE_CYCLWNDRC_UWNDRC_VADDTI_RSTCTOT_RSTCRL_POWERFUEL_CNSMP_QTYCDBXNOXSOXMTHNSHIP_NRG_EFFCN_NVGTN_IDXRN
3919-Feb-2023 06:00:00205011000935651752.3914998.97610.48927805.62.935680.856.66667-1.30787-4.708143072.543732.7204551370001417300000581012013096.43417.7168.411341
4019-Feb-2023 12:00:00205011000935651752.3772018.899450.48942805.62.936580.756.097561.68648-2.174373072.543732.7204551370001417300000581012013096.43417.7168.411342
4119-Feb-2023 18:00:00205011000935651752.36298.822810.48956805.62.937410.984.016062.73708-0.5842683072.543732.7204551370001417300000581012013096.43417.7168.411343
4220-Feb-2023 00:00:00205011000935651752.3487018.746160.48972205.62.938341.745.555565.300342.734523072.543732.7204551370001417300000581012013096.43417.7168.411344
4320-Feb-2023 06:00:00205011000935651752.33448.669510.48985705.62.939152.516.849317.410634.65113072.543732.7204551370001417300000581012013096.43417.7168.411345
4420-Feb-2023 12:00:00205011000935651752.3200998.592870.49000705.62.940052.947.751949.562882.877953072.543732.7204551370001417300000581012013096.43417.7168.411346
4520-Feb-2023 18:00:00205011000935651752.3059018.516220.49016105.62.940982.657.81258.047632.427023072.543732.7204551370001417300000581012013096.43417.7168.411347
4621-Feb-2023 00:00:00205011000935651752.2915998.439570.49029605.62.941782.157.352948.022231.807743072.543732.7204551370001417300000581012013096.43417.7168.411348
4721-Feb-2023 06:00:00205011000935651752.2773028.362930.49042105.62.942531.637.09226.780331.324893072.543732.7204551370001417300000581012013096.43417.7168.411349
4821-Feb-2023 12:00:00205011000935651752.2638.286280.490605.62.943611.227.042255.782650.51043072.543732.7204551370001417300000581012013096.43417.7168.411350