Overview

Dataset statistics

Number of variables22
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.3 KiB
Average record size in memory194.7 B

Variable types

Numeric16
Text1
Categorical3
DateTime2

Dataset

DescriptionSample
Author올시데이터
URLhttps://www.bigdata-sea.kr/datasearch/base/view.do?prodId=PROD_001280

Alerts

SHIP_KIND is highly imbalanced (85.6%)Imbalance
MMSI has unique valuesUnique
IMO_IDNTF_NO has unique valuesUnique
SHIP_NM has unique valuesUnique
DPTRP_LA has unique valuesUnique
DPTRP_LO has unique valuesUnique
DTNT_LA has unique valuesUnique
DTNT_LO has unique valuesUnique
MAX_VE has unique valuesUnique
AVE_VE has unique valuesUnique
NVGTN_DIST has unique valuesUnique
RN has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:32:31.843009
Analysis finished2023-12-10 14:32:32.059435
Duration0.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

MMSI
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5203329 × 108
Minimum5.4219433 × 108
Maximum5.5965733 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:32.133034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.4219433 × 108
5-th percentile5.4220133 × 108
Q15.5167523 × 108
median5.5353933 × 108
Q35.5374033 × 108
95-th percentile5.5383233 × 108
Maximum5.5965733 × 108
Range17463000
Interquartile range (IQR)2065100

Descriptive statistics

Standard deviation3888751
Coefficient of variation (CV)0.0070444139
Kurtosis2.9298633
Mean5.5203329 × 108
Median Absolute Deviation (MAD)208000
Skewness-1.8801995
Sum2.7049631 × 1010
Variance1.5122384 × 1013
MonotonicityNot monotonic
2023-12-10T23:32:32.297552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
542194333 1
 
2.0%
553829333 1
 
2.0%
553740333 1
 
2.0%
553700333 1
 
2.0%
553701333 1
 
2.0%
553729333 1
 
2.0%
553720333 1
 
2.0%
553722333 1
 
2.0%
553834333 1
 
2.0%
553836333 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
542194333 1
2.0%
542196333 1
2.0%
542197333 1
2.0%
542207333 1
2.0%
542215333 1
2.0%
542286333 1
2.0%
551361693 1
2.0%
551660233 1
2.0%
551662933 1
2.0%
551668233 1
2.0%
ValueCountFrequency (%)
559657333 1
2.0%
553836333 1
2.0%
553834333 1
2.0%
553829333 1
2.0%
553828333 1
2.0%
553826333 1
2.0%
553821333 1
2.0%
553820333 1
2.0%
553749333 1
2.0%
553748333 1
2.0%

IMO_IDNTF_NO
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2583206.9
Minimum2001141
Maximum2965323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:32.430224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001141
5-th percentile2065716.2
Q12578003
median2593792
Q32654869
95-th percentile2776359.4
Maximum2965323
Range964182
Interquartile range (IQR)76866

Descriptive statistics

Standard deviation182694.92
Coefficient of variation (CV)0.070724074
Kurtosis5.3289264
Mean2583206.9
Median Absolute Deviation (MAD)61041
Skewness-2.0603456
Sum1.2657714 × 108
Variance3.3377433 × 1010
MonotonicityNot monotonic
2023-12-10T23:32:32.550722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2001153 1
 
2.0%
2682361 1
 
2.0%
2654716 1
 
2.0%
2654833 1
 
2.0%
2654728 1
 
2.0%
2654845 1
 
2.0%
2654857 1
 
2.0%
2654869 1
 
2.0%
2654871 1
 
2.0%
2654883 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2001141 1
2.0%
2001153 1
2.0%
2001165 1
2.0%
2162543 1
2.0%
2522016 1
2.0%
2522028 1
2.0%
2522133 1
2.0%
2522951 1
2.0%
2527602 1
2.0%
2548400 1
2.0%
ValueCountFrequency (%)
2965323 1
2.0%
2783971 1
2.0%
2783957 1
2.0%
2764963 1
2.0%
2695667 1
2.0%
2682385 1
2.0%
2682373 1
2.0%
2682361 1
2.0%
2682359 1
2.0%
2682335 1
2.0%

SHIP_NM
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-10T23:32:32.746811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length12.102041
Min length10

Characters and Unicode

Total characters593
Distinct characters35
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st rowPlodqPdhuvn
2nd rowPrqdfrPdhuvn
3rd rowPrvfrzPdhuvn
4th rowMhsshvhqPdhuvn
5th rowMhqvPdhuvn
ValueCountFrequency (%)
plodqpdhuvn 1
 
2.0%
jhugpdhuvn 1
 
2.0%
hppdpdhuvn 1
 
2.0%
hohrqrudpdhuvn 1
 
2.0%
hvwhoohpdhuvn 1
 
2.0%
hyhobqpdhuvn 1
 
2.0%
heedpdhuvn 1
 
2.0%
hoobpdhuvn 1
 
2.0%
hglwkpdhuvn 1
 
2.0%
hxjhqpdhuvn 1
 
2.0%
Other values (39) 39
79.6%
2023-12-10T23:32:33.050995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
h 74
12.5%
d 71
12.0%
u 67
11.3%
P 62
10.5%
v 48
 
8.1%
n 39
 
6.6%
q 24
 
4.0%
o 23
 
3.9%
r 20
 
3.4%
F 18
 
3.0%
Other values (25) 147
24.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 459
77.4%
Uppercase Letter 134
 
22.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
h 74
16.1%
d 71
15.5%
u 67
14.6%
v 48
10.5%
n 39
8.5%
q 24
 
5.2%
o 23
 
5.0%
r 20
 
4.4%
w 16
 
3.5%
l 13
 
2.8%
Other values (14) 64
13.9%
Uppercase Letter
ValueCountFrequency (%)
P 62
46.3%
F 18
 
13.4%
J 18
 
13.4%
D 15
 
11.2%
H 8
 
6.0%
R 4
 
3.0%
M 3
 
2.2%
O 2
 
1.5%
W 2
 
1.5%
V 1
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Latin 593
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
h 74
12.5%
d 71
12.0%
u 67
11.3%
P 62
10.5%
v 48
 
8.1%
n 39
 
6.6%
q 24
 
4.0%
o 23
 
3.9%
r 20
 
3.4%
F 18
 
3.0%
Other values (25) 147
24.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 593
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
h 74
12.5%
d 71
12.0%
u 67
11.3%
P 62
10.5%
v 48
 
8.1%
n 39
 
6.6%
q 24
 
4.0%
o 23
 
3.9%
r 20
 
3.4%
F 18
 
3.0%
Other values (25) 147
24.8%

SHIP_KIND
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
Container
48 
Container(add)
 
1

Length

Max length14
Median length9
Mean length9.1020408
Min length9

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
Container 48
98.0%
Container(add) 1
 
2.0%

Length

2023-12-10T23:32:33.172978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:32:33.245477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
container 48
98.0%
container(add 1
 
2.0%

SHIP_WDTH
Real number (ℝ)

Distinct9
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.244898
Minimum23
Maximum61.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:33.312605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile29.2
Q142.8
median42.8
Q356.4
95-th percentile58.6
Maximum61.3
Range38.3
Interquartile range (IQR)13.6

Descriptive statistics

Standard deviation9.4804198
Coefficient of variation (CV)0.21427148
Kurtosis-0.46363225
Mean44.244898
Median Absolute Deviation (MAD)0
Skewness0.026093423
Sum2168
Variance89.878359
MonotonicityNot monotonic
2023-12-10T23:32:33.394344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
42.8 26
53.1%
56.4 8
 
16.3%
32.2 6
 
12.2%
58.6 3
 
6.1%
27.2 2
 
4.1%
59.0 1
 
2.0%
37.3 1
 
2.0%
23.0 1
 
2.0%
61.3 1
 
2.0%
ValueCountFrequency (%)
23.0 1
 
2.0%
27.2 2
 
4.1%
32.2 6
 
12.2%
37.3 1
 
2.0%
42.8 26
53.1%
56.4 8
 
16.3%
58.6 3
 
6.1%
59.0 1
 
2.0%
61.3 1
 
2.0%
ValueCountFrequency (%)
61.3 1
 
2.0%
59.0 1
 
2.0%
58.6 3
 
6.1%
56.4 8
 
16.3%
42.8 26
53.1%
37.3 1
 
2.0%
32.2 6
 
12.2%
27.2 2
 
4.1%
23.0 1
 
2.0%

SHIP_LNTH
Real number (ℝ)

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.46531
Minimum104.4
Maximum393.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:33.483355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.4
5-th percentile170.92
Q1314.7
median336.4
Q3376
95-th percentile378
Maximum393.9
Range289.5
Interquartile range (IQR)61.3

Descriptive statistics

Standard deviation70.03092
Coefficient of variation (CV)0.21990125
Kurtosis1.3808588
Mean318.46531
Median Absolute Deviation (MAD)21.7
Skewness-1.5051004
Sum15604.8
Variance4904.3298
MonotonicityNot monotonic
2023-12-10T23:32:33.569892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
351.1 10
20.4%
376.0 8
16.3%
336.4 6
12.2%
331.5 4
 
8.2%
195.4 3
 
6.1%
314.7 3
 
6.1%
378.0 2
 
4.1%
154.6 2
 
4.1%
224.8 2
 
4.1%
319.0 2
 
4.1%
Other values (7) 7
14.3%
ValueCountFrequency (%)
104.4 1
 
2.0%
154.6 2
4.1%
195.4 3
6.1%
224.0 1
 
2.0%
224.8 2
4.1%
252.4 1
 
2.0%
314.7 3
6.1%
319.0 2
4.1%
328.9 1
 
2.0%
331.5 4
8.2%
ValueCountFrequency (%)
393.9 1
 
2.0%
378.5 1
 
2.0%
378.0 2
 
4.1%
376.2 1
 
2.0%
376.0 8
16.3%
351.1 10
20.4%
336.4 6
12.2%
331.5 4
 
8.2%
328.9 1
 
2.0%
319.0 2
 
4.1%

SHIP_HGHT
Real number (ℝ)

Distinct13
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.618367
Minimum14
Maximum33.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:33.657759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile15.68
Q124.1
median24.1
Q330.2
95-th percentile33.2
Maximum33.5
Range19.5
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation5.076813
Coefficient of variation (CV)0.20622054
Kurtosis-0.24945802
Mean24.618367
Median Absolute Deviation (MAD)0.5
Skewness-0.24289785
Sum1206.3
Variance25.774031
MonotonicityNot monotonic
2023-12-10T23:32:33.749234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
24.1 20
40.8%
30.2 8
 
16.3%
24.6 5
 
10.2%
33.2 3
 
6.1%
16.4 3
 
6.1%
18.5 2
 
4.1%
14.0 2
 
4.1%
30.3 1
 
2.0%
18.2 1
 
2.0%
21.4 1
 
2.0%
Other values (3) 3
 
6.1%
ValueCountFrequency (%)
14.0 2
 
4.1%
15.2 1
 
2.0%
16.4 3
 
6.1%
18.2 1
 
2.0%
18.5 2
 
4.1%
21.4 1
 
2.0%
24.1 20
40.8%
24.6 5
 
10.2%
27.3 1
 
2.0%
30.2 8
 
16.3%
ValueCountFrequency (%)
33.5 1
 
2.0%
33.2 3
 
6.1%
30.3 1
 
2.0%
30.2 8
 
16.3%
27.3 1
 
2.0%
24.6 5
 
10.2%
24.1 20
40.8%
21.4 1
 
2.0%
18.5 2
 
4.1%
18.2 1
 
2.0%

SHIP_OWNER_NM
Categorical

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
Pdhuvn
36 
FPDFJP
6 
3
5 
Pduiuhw
 
2

Length

Max length7
Median length6
Mean length5.5306122
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th rowPdhuvn
5th rowPdhuvn

Common Values

ValueCountFrequency (%)
Pdhuvn 36
73.5%
FPDFJP 6
 
12.2%
3 5
 
10.2%
Pduiuhw 2
 
4.1%

Length

2023-12-10T23:32:33.856635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:32:33.935231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pdhuvn 36
73.5%
fpdfjp 6
 
12.2%
3 5
 
10.2%
pduiuhw 2
 
4.1%

DRAFT
Real number (ℝ)

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.314286
Minimum8.2
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:34.011498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2
5-th percentile10.36
Q114.5
median14.5
Q316
95-th percentile16.5
Maximum17
Range8.8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.9343388
Coefficient of variation (CV)0.13513345
Kurtosis1.5409275
Mean14.314286
Median Absolute Deviation (MAD)0.5
Skewness-1.3384324
Sum701.4
Variance3.7416667
MonotonicityNot monotonic
2023-12-10T23:32:34.096099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
14.5 20
40.8%
16.0 10
20.4%
15.0 5
 
10.2%
16.5 3
 
6.1%
11.2 3
 
6.1%
12.0 3
 
6.1%
9.8 2
 
4.1%
17.0 1
 
2.0%
12.5 1
 
2.0%
8.2 1
 
2.0%
ValueCountFrequency (%)
8.2 1
 
2.0%
9.8 2
 
4.1%
11.2 3
 
6.1%
12.0 3
 
6.1%
12.5 1
 
2.0%
14.5 20
40.8%
15.0 5
 
10.2%
16.0 10
20.4%
16.5 3
 
6.1%
17.0 1
 
2.0%
ValueCountFrequency (%)
17.0 1
 
2.0%
16.5 3
 
6.1%
16.0 10
20.4%
15.0 5
 
10.2%
14.5 20
40.8%
12.5 1
 
2.0%
12.0 3
 
6.1%
11.2 3
 
6.1%
9.8 2
 
4.1%
8.2 1
 
2.0%

SHPYRD_NM
Categorical

Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
RghqvhOlqgr
29 
Yronvzhuiw
6 
GdhzrrGVPH
4 
KbxqgdlKLXovdq
3 
KbxqgdlVdpkrKL
3 
Other values (3)
4 

Length

Max length15
Median length11
Mean length11.244898
Min length9

Unique

Unique2 ?
Unique (%)4.1%

Sample

1st rowGdhzrrGVPH
2nd rowGdhzrrGVPH
3rd rowGdhzrrGVPH
4th rowYronvzhuiw
5th rowYronvzhuiw

Common Values

ValueCountFrequency (%)
RghqvhOlqgr 29
59.2%
Yronvzhuiw 6
 
12.2%
GdhzrrGVPH 4
 
8.2%
KbxqgdlKLXovdq 3
 
6.1%
KbxqgdlVdpkrKL 3
 
6.1%
VdpvxqjKL 2
 
4.1%
UhprqwrzdUhsdlu 1
 
2.0%
VFVVklsexloglqj 1
 
2.0%

Length

2023-12-10T23:32:34.190665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:32:34.283768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
rghqvholqgr 29
59.2%
yronvzhuiw 6
 
12.2%
gdhzrrgvph 4
 
8.2%
kbxqgdlklxovdq 3
 
6.1%
kbxqgdlvdpkrkl 3
 
6.1%
vdpvxqjkl 2
 
4.1%
uhprqwrzduhsdlu 1
 
2.0%
vfvvklsexloglqj 1
 
2.0%

BULD_YR
Real number (ℝ)

Distinct13
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.4898
Minimum2001
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:34.374364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2001.4
Q12003
median2006
Q32008
95-th percentile2017
Maximum2021
Range20
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.4587108
Coefficient of variation (CV)0.0022221448
Kurtosis2.2141069
Mean2006.4898
Median Absolute Deviation (MAD)2
Skewness1.4633734
Sum98318
Variance19.880102
MonotonicityNot monotonic
2023-12-10T23:32:34.463730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2003 7
14.3%
2005 6
12.2%
2006 6
12.2%
2007 6
12.2%
2008 5
10.2%
2002 4
8.2%
2017 3
6.1%
2001 3
6.1%
2004 3
6.1%
2009 2
 
4.1%
Other values (3) 4
8.2%
ValueCountFrequency (%)
2001 3
6.1%
2002 4
8.2%
2003 7
14.3%
2004 3
6.1%
2005 6
12.2%
2006 6
12.2%
2007 6
12.2%
2008 5
10.2%
2009 2
 
4.1%
2011 2
 
4.1%
ValueCountFrequency (%)
2021 1
 
2.0%
2017 3
6.1%
2014 1
 
2.0%
2011 2
 
4.1%
2009 2
 
4.1%
2008 5
10.2%
2007 6
12.2%
2006 6
12.2%
2005 6
12.2%
2004 3
6.1%

DDWGHT
Real number (ℝ)

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean114347.57
Minimum8800
Maximum221250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:34.562287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8800
5-th percentile26796
Q1101810
median109657
Q3174239
95-th percentile190326
Maximum221250
Range212450
Interquartile range (IQR)72429

Descriptive statistics

Standard deviation52978.739
Coefficient of variation (CV)0.4633132
Kurtosis-0.44499934
Mean114347.57
Median Absolute Deviation (MAD)8045
Skewness-0.053662638
Sum5603031
Variance2.8067468 × 109
MonotonicityNot monotonic
2023-12-10T23:32:34.645649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
115993 10
20.4%
174239 8
16.3%
109000 6
12.2%
35097 3
 
6.1%
41028 3
 
6.1%
190326 3
 
6.1%
104600 3
 
6.1%
21262 2
 
4.1%
101818 2
 
4.1%
101612 2
 
4.1%
Other values (7) 7
14.3%
ValueCountFrequency (%)
8800 1
 
2.0%
21262 2
 
4.1%
35097 3
6.1%
41028 3
6.1%
63200 1
 
2.0%
101612 2
 
4.1%
101810 1
 
2.0%
101818 2
 
4.1%
104600 3
6.1%
109000 6
12.2%
ValueCountFrequency (%)
221250 1
 
2.0%
213971 1
 
2.0%
190326 3
 
6.1%
174239 8
16.3%
115993 10
20.4%
113964 1
 
2.0%
109657 1
 
2.0%
109000 6
12.2%
104600 3
 
6.1%
101818 2
 
4.1%

DPTR_HMS
Date

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2023-01-01 00:00:02
Maximum2023-01-02 22:30:51
2023-12-10T23:32:34.737613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:32:35.043465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

ARVL_HMS
Date

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2023-01-31 23:49:34
Maximum2023-04-30 23:59:57
2023-12-10T23:32:35.144385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:32:35.251691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

DPTRP_LA
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.252667
Minimum-37.973701
Maximum66.941902
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)10.2%
Memory size573.0 B
2023-12-10T23:32:35.363802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-37.973701
5-th percentile-22.51536
Q112.2146
median30.305901
Q336.8983
95-th percentile53.221379
Maximum66.941902
Range104.9156
Interquartile range (IQR)24.6837

Descriptive statistics

Standard deviation22.092549
Coefficient of variation (CV)0.91093278
Kurtosis0.82262617
Mean24.252667
Median Absolute Deviation (MAD)13.414699
Skewness-0.8439846
Sum1188.3807
Variance488.08074
MonotonicityNot monotonic
2023-12-10T23:32:35.477692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
36.547199 1
 
2.0%
36.787498 1
 
2.0%
43.7206 1
 
2.0%
22.209801 1
 
2.0%
1.76955 1
 
2.0%
36.938702 1
 
2.0%
29.6145 1
 
2.0%
49.596001 1
 
2.0%
12.2146 1
 
2.0%
14.0867 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-37.973701 1
2.0%
-26.7813 1
2.0%
-24.0564 1
2.0%
-20.2038 1
2.0%
-8.87754 1
2.0%
1.21557 1
2.0%
1.76955 1
2.0%
5.99 1
2.0%
8.82977 1
2.0%
9.88333 1
2.0%
ValueCountFrequency (%)
66.941902 1
2.0%
56.686699 1
2.0%
53.597099 1
2.0%
52.657799 1
2.0%
50.535599 1
2.0%
49.596001 1
2.0%
44.4184 1
2.0%
43.7206 1
2.0%
40.664902 1
2.0%
39.9823 1
2.0%

DPTRP_LO
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.572466
Minimum-130.51601
Maximum144.87199
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)40.8%
Memory size573.0 B
2023-12-10T23:32:35.579275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-130.51601
5-th percentile-101.65668
Q1-74.0438
median8.51645
Q3103.562
95-th percentile127.4328
Maximum144.87199
Range275.388
Interquartile range (IQR)177.6058

Descriptive statistics

Standard deviation84.193423
Coefficient of variation (CV)5.7775686
Kurtosis-1.3920592
Mean14.572466
Median Absolute Deviation (MAD)82.747949
Skewness-0.0048735074
Sum714.05085
Variance7088.5325
MonotonicityNot monotonic
2023-12-10T23:32:35.680357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
14.96 1
 
2.0%
-75.566704 1
 
2.0%
-9.40656 1
 
2.0%
60.102798 1
 
2.0%
104.773003 1
 
2.0%
2.2173 1
 
2.0%
122.523003 1
 
2.0%
-3.8624 1
 
2.0%
58.401501 1
 
2.0%
49.9767 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-130.516006 1
2.0%
-118.126999 1
2.0%
-106.015999 1
2.0%
-95.117699 1
2.0%
-90.790001 1
2.0%
-79.857002 1
2.0%
-79.521599 1
2.0%
-75.566704 1
2.0%
-75.506699 1
2.0%
-75.316704 1
2.0%
ValueCountFrequency (%)
144.871994 1
2.0%
128.679993 1
2.0%
128.528 1
2.0%
125.790001 1
2.0%
124.955002 1
2.0%
122.800003 1
2.0%
122.523003 1
2.0%
122.288002 1
2.0%
120.921997 1
2.0%
120.705002 1
2.0%

DTNT_LA
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.755415
Minimum-37.698299
Maximum61.307301
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.2%
Memory size573.0 B
2023-12-10T23:32:35.784356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-37.698299
5-th percentile-5.493976
Q19.925
median22.5665
Q333.321602
95-th percentile52.75366
Maximum61.307301
Range99.0056
Interquartile range (IQR)23.396602

Descriptive statistics

Standard deviation19.662555
Coefficient of variation (CV)0.90380049
Kurtosis1.4395433
Mean21.755415
Median Absolute Deviation (MAD)12.5398
Skewness-0.7061515
Sum1066.0154
Variance386.61608
MonotonicityNot monotonic
2023-12-10T23:32:35.908922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
37.009998 1
 
2.0%
33.321602 1
 
2.0%
17.4517 1
 
2.0%
6.00225 1
 
2.0%
51.286598 1
 
2.0%
22.5665 1
 
2.0%
29.8916 1
 
2.0%
36.487499 1
 
2.0%
31.4333 1
 
2.0%
12.1567 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-37.698299 1
2.0%
-32.495098 1
2.0%
-7.58814 1
2.0%
-2.35273 1
2.0%
1.26785 1
2.0%
1.28469 1
2.0%
3.80088 1
2.0%
5.445 1
2.0%
6.00225 1
2.0%
7.2282 1
2.0%
ValueCountFrequency (%)
61.307301 1
2.0%
54.285 1
2.0%
53.731701 1
2.0%
51.286598 1
2.0%
47.728298 1
2.0%
40.669998 1
2.0%
40.006302 1
2.0%
37.009998 1
2.0%
36.487499 1
2.0%
36.3279 1
2.0%

DTNT_LO
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7583357
Minimum-162.907
Maximum142.199
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)40.8%
Memory size573.0 B
2023-12-10T23:32:36.035739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-162.907
5-th percentile-122.436
Q1-78.763298
median15.7535
Q395.160103
95-th percentile125.6974
Maximum142.199
Range305.106
Interquartile range (IQR)173.9234

Descriptive statistics

Standard deviation89.714098
Coefficient of variation (CV)10.243281
Kurtosis-1.340634
Mean8.7583357
Median Absolute Deviation (MAD)90.631903
Skewness-0.13330683
Sum429.15845
Variance8048.6193
MonotonicityNot monotonic
2023-12-10T23:32:36.169207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
2.68333 1
 
2.0%
26.8172 1
 
2.0%
56.8517 1
 
2.0%
95.160103 1
 
2.0%
4.2527 1
 
2.0%
114.285004 1
 
2.0%
122.041 1
 
2.0%
14.3198 1
 
2.0%
32.4753 1
 
2.0%
72.696701 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-162.906998 1
2.0%
-153.897003 1
2.0%
-130.360001 1
2.0%
-110.550003 1
2.0%
-95.008301 1
2.0%
-90.536697 1
2.0%
-84.761703 1
2.0%
-80.634201 1
2.0%
-80.214302 1
2.0%
-79.987099 1
2.0%
ValueCountFrequency (%)
142.199005 1
2.0%
132.740005 1
2.0%
127.649002 1
2.0%
122.769997 1
2.0%
122.059998 1
2.0%
122.041 1
2.0%
116.362999 1
2.0%
114.285004 1
2.0%
114.232002 1
2.0%
114.116997 1
2.0%

MAX_VE
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.440376
Minimum19.4684
Maximum29.9752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:36.282552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19.4684
5-th percentile20.85406
Q122.7078
median24.138
Q329.1421
95-th percentile29.93476
Maximum29.9752
Range10.5068
Interquartile range (IQR)6.4343

Descriptive statistics

Standard deviation3.2714031
Coefficient of variation (CV)0.12859099
Kurtosis-1.3585453
Mean25.440376
Median Absolute Deviation (MAD)2.2541
Skewness0.061090643
Sum1246.5784
Variance10.702078
MonotonicityNot monotonic
2023-12-10T23:32:36.388716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
25.9587 1
 
2.0%
23.5786 1
 
2.0%
29.2064 1
 
2.0%
21.5825 1
 
2.0%
23.3208 1
 
2.0%
23.2391 1
 
2.0%
21.9307 1
 
2.0%
23.3414 1
 
2.0%
22.2998 1
 
2.0%
23.941 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
19.4684 1
2.0%
19.4916 1
2.0%
20.3881 1
2.0%
21.553 1
2.0%
21.5825 1
2.0%
21.9307 1
2.0%
22.1832 1
2.0%
22.2998 1
2.0%
22.5604 1
2.0%
22.622 1
2.0%
ValueCountFrequency (%)
29.9752 1
2.0%
29.9551 1
2.0%
29.9496 1
2.0%
29.9125 1
2.0%
29.8325 1
2.0%
29.8131 1
2.0%
29.7829 1
2.0%
29.7723 1
2.0%
29.6285 1
2.0%
29.2064 1
2.0%

AVE_VE
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.032139
Minimum10.6324
Maximum18.5801
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:36.495568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10.6324
5-th percentile11.19316
Q112.9035
median13.8273
Q315.0793
95-th percentile16.82888
Maximum18.5801
Range7.9477
Interquartile range (IQR)2.1758

Descriptive statistics

Standard deviation1.805798
Coefficient of variation (CV)0.12869015
Kurtosis0.059275458
Mean14.032139
Median Absolute Deviation (MAD)1.1993
Skewness0.36823801
Sum687.5748
Variance3.2609064
MonotonicityNot monotonic
2023-12-10T23:32:36.630180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
15.8969 1
 
2.0%
13.1578 1
 
2.0%
14.6881 1
 
2.0%
14.6932 1
 
2.0%
14.4951 1
 
2.0%
15.4789 1
 
2.0%
12.5299 1
 
2.0%
15.436 1
 
2.0%
14.5334 1
 
2.0%
16.574 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
10.6324 1
2.0%
10.9993 1
2.0%
11.153 1
2.0%
11.2534 1
2.0%
11.6884 1
2.0%
11.9717 1
2.0%
12.1078 1
2.0%
12.1097 1
2.0%
12.1372 1
2.0%
12.1384 1
2.0%
ValueCountFrequency (%)
18.5801 1
2.0%
18.3452 1
2.0%
16.9596 1
2.0%
16.6328 1
2.0%
16.574 1
2.0%
16.3631 1
2.0%
15.8969 1
2.0%
15.781 1
2.0%
15.5637 1
2.0%
15.4789 1
2.0%

NVGTN_DIST
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37336521
Minimum4412940
Maximum63471900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:32:36.747910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4412940
5-th percentile20701920
Q127620900
median37494400
Q346427700
95-th percentile58095020
Maximum63471900
Range59058960
Interquartile range (IQR)18806800

Descriptive statistics

Standard deviation13050100
Coefficient of variation (CV)0.34952639
Kurtosis0.013776487
Mean37336521
Median Absolute Deviation (MAD)9873500
Skewness-0.15671514
Sum1.8294896 × 109
Variance1.703051 × 1014
MonotonicityNot monotonic
2023-12-10T23:32:36.856024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
25508100 1
 
2.0%
46427700 1
 
2.0%
30126800 1
 
2.0%
37379300 1
 
2.0%
45445400 1
 
2.0%
41350200 1
 
2.0%
25085400 1
 
2.0%
37494400 1
 
2.0%
31439100 1
 
2.0%
51225000 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
4412940 1
2.0%
7226310 1
2.0%
19267600 1
2.0%
22853400 1
2.0%
22909100 1
2.0%
24163900 1
2.0%
24421000 1
2.0%
25085400 1
2.0%
25246300 1
2.0%
25508100 1
2.0%
ValueCountFrequency (%)
63471900 1
2.0%
63261000 1
2.0%
59490100 1
2.0%
56002400 1
2.0%
54955000 1
2.0%
51777900 1
2.0%
51225000 1
2.0%
50929000 1
2.0%
49832200 1
2.0%
48577700 1
2.0%

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
2023-12-10T23:32:36.968151image/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
2023-12-10T23:32:37.121699image/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

MMSIIMO_IDNTF_NOSHIP_NMSHIP_KINDSHIP_WDTHSHIP_LNTHSHIP_HGHTSHIP_OWNER_NMDRAFTSHPYRD_NMBULD_YRDDWGHTDPTR_HMSARVL_HMSDPTRP_LADPTRP_LODTNT_LADTNT_LOMAX_VEAVE_VENVGTN_DISTRN
05421943332001153PlodqPdhuvnContainer58.6378.033.2316.5GdhzrrGVPH201719032601-Jan-2023 00:01:4230-Apr-2023 23:51:3536.54719914.9637.0099982.6833325.958715.8969255081002
15421963332001165PrqdfrPdhuvnContainer58.6378.033.2316.5GdhzrrGVPH201719032601-Jan-2023 00:00:3430-Apr-2023 23:57:0956.6866997.536675.44581.84169824.031615.0793517779003
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