Overview

Dataset statistics

Number of variables24
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory212.7 B

Variable types

Numeric15
Text1
Categorical6
DateTime2

Dataset

DescriptionSample
Author올시데이터
URLhttps://www.bigdata-sea.kr/datasearch/base/view.do?prodId=PROD_001323

Alerts

BLLAT_HOUR has constant value ""Constant
FRGHT_CNVNC_TM has constant value ""Constant
NNVGTN_TM has constant value ""Constant
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
RN has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:22:27.843387
Analysis finished2023-12-10 14:22:28.098019
Duration0.25 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%
Mean8.84396 × 108
Minimum8.7540667 × 108
Maximum8.8695367 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:28.505894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.7540667 × 108
5-th percentile8.7542347 × 108
Q18.8499157 × 108
median8.8607967 × 108
Q38.8674367 × 108
95-th percentile8.8688167 × 108
Maximum8.8695367 × 108
Range11547000
Interquartile range (IQR)1752100

Descriptive statistics

Standard deviation4056304.2
Coefficient of variation (CV)0.0045865248
Kurtosis1.3115257
Mean8.84396 × 108
Median Absolute Deviation (MAD)706000
Skewness-1.7531609
Sum4.3335404 × 1010
Variance1.6453604 × 1013
MonotonicityNot monotonic
2023-12-10T23:22:28.706609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
875406666 1
 
2.0%
886159666 1
 
2.0%
886071666 1
 
2.0%
886072666 1
 
2.0%
886073666 1
 
2.0%
886033666 1
 
2.0%
886034666 1
 
2.0%
886052666 1
 
2.0%
886053666 1
 
2.0%
886055666 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
875406666 1
2.0%
875410666 1
2.0%
875420666 1
2.0%
875427666 1
2.0%
875429666 1
2.0%
875519666 1
2.0%
875530666 1
2.0%
875548666 1
2.0%
882980666 1
2.0%
884694926 1
2.0%
ValueCountFrequency (%)
886953666 1
2.0%
886920666 1
2.0%
886887666 1
2.0%
886872666 1
2.0%
886863666 1
2.0%
886862666 1
2.0%
886857666 1
2.0%
886829666 1
2.0%
886801666 1
2.0%
886785666 1
2.0%

IMO_IDNTF_NO
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5792732
Minimum5016204
Maximum5987192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:28.870181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5016204
5-th percentile5312953.6
Q15801336
median5855351
Q35968457
95-th percentile5987173.2
Maximum5987192
Range970988
Interquartile range (IQR)167121

Descriptive statistics

Standard deviation251148.4
Coefficient of variation (CV)0.043355777
Kurtosis2.6851096
Mean5792732
Median Absolute Deviation (MAD)60343
Skewness-1.858887
Sum2.8384387 × 108
Variance6.3075517 × 1010
MonotonicityNot monotonic
2023-12-10T23:22:29.034166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5754131 1
 
2.0%
5915668 1
 
2.0%
5986801 1
 
2.0%
5986813 1
 
2.0%
5987049 1
 
2.0%
5987166 1
 
2.0%
5987051 1
 
2.0%
5987178 1
 
2.0%
5987180 1
 
2.0%
5987192 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
5016204 1
2.0%
5016280 1
2.0%
5298656 1
2.0%
5334400 1
2.0%
5334474 1
2.0%
5334486 1
2.0%
5334498 1
2.0%
5495876 1
2.0%
5754131 1
2.0%
5801300 1
2.0%
ValueCountFrequency (%)
5987192 1
2.0%
5987180 1
2.0%
5987178 1
2.0%
5987166 1
2.0%
5987116 1
2.0%
5987104 1
2.0%
5987051 1
2.0%
5987049 1
2.0%
5986899 1
2.0%
5986813 1
2.0%

SHIP_NM
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-10T23:22:29.300159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length12.183673
Min length10

Characters and Unicode

Total characters597
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 rowIrolluxjSgkxyq
2nd rowSgxykorrkSgkxyq
3rd rowSorgtSgkxyq
4th rowSutgiuSgkxyq
5th rowSuyiucSgkxyq
ValueCountFrequency (%)
irolluxjsgkxyq 1
 
2.0%
matbuxsgkxyq 1
 
2.0%
mkxjsgkxyq 1
 
2.0%
mkuxmsgkxyq 1
 
2.0%
kssgsgkxyq 1
 
2.0%
krkutuxgsgkxyq 1
 
2.0%
kyzkrrksgkxyq 1
 
2.0%
kbkretsgkxyq 1
 
2.0%
khhgsgkxyq 1
 
2.0%
krresgkxyq 1
 
2.0%
Other values (39) 39
79.6%
2023-12-10T23:22:29.726187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
k 76
12.7%
g 71
11.9%
x 68
11.4%
S 61
10.2%
y 51
 
8.5%
q 41
 
6.9%
r 24
 
4.0%
t 24
 
4.0%
u 19
 
3.2%
M 17
 
2.8%
Other values (25) 145
24.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 468
78.4%
Uppercase Letter 129
 
21.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
k 76
16.2%
g 71
15.2%
x 68
14.5%
y 51
10.9%
q 41
8.8%
r 24
 
5.1%
t 24
 
5.1%
u 19
 
4.1%
o 15
 
3.2%
z 14
 
3.0%
Other values (14) 65
13.9%
Uppercase Letter
ValueCountFrequency (%)
S 61
47.3%
M 17
 
13.2%
I 17
 
13.2%
G 14
 
10.9%
K 8
 
6.2%
P 3
 
2.3%
U 3
 
2.3%
R 2
 
1.6%
Z 2
 
1.6%
Y 1
 
0.8%

Most occurring scripts

ValueCountFrequency (%)
Latin 597
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
k 76
12.7%
g 71
11.9%
x 68
11.4%
S 61
10.2%
y 51
 
8.5%
q 41
 
6.9%
r 24
 
4.0%
t 24
 
4.0%
u 19
 
3.2%
M 17
 
2.8%
Other values (25) 145
24.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
k 76
12.7%
g 71
11.9%
x 68
11.4%
S 61
10.2%
y 51
 
8.5%
q 41
 
6.9%
r 24
 
4.0%
t 24
 
4.0%
u 19
 
3.2%
M 17
 
2.8%
Other values (25) 145
24.3%

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

2023-12-10T23:22:29.869772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:29.956646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
container 48
98.0%
container(add 1
 
2.0%

SHIP_WDTH
Real number (ℝ)

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.869388
Minimum23
Maximum61.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:30.039671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile32.2
Q142.8
median42.8
Q356.4
95-th percentile58.6
Maximum61.3
Range38.3
Interquartile range (IQR)13.6

Descriptive statistics

Standard deviation9.3692139
Coefficient of variation (CV)0.20881082
Kurtosis-0.49799994
Mean44.869388
Median Absolute Deviation (MAD)0
Skewness0.026927835
Sum2198.6
Variance87.782168
MonotonicityNot monotonic
2023-12-10T23:22:30.166816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
42.8 25
51.0%
56.4 8
 
16.3%
32.2 6
 
12.2%
58.6 4
 
8.2%
42.0 1
 
2.0%
59.0 1
 
2.0%
37.3 1
 
2.0%
23.0 1
 
2.0%
27.2 1
 
2.0%
61.3 1
 
2.0%
ValueCountFrequency (%)
23.0 1
 
2.0%
27.2 1
 
2.0%
32.2 6
 
12.2%
37.3 1
 
2.0%
42.0 1
 
2.0%
42.8 25
51.0%
56.4 8
 
16.3%
58.6 4
 
8.2%
59.0 1
 
2.0%
61.3 1
 
2.0%
ValueCountFrequency (%)
61.3 1
 
2.0%
59.0 1
 
2.0%
58.6 4
 
8.2%
56.4 8
 
16.3%
42.8 25
51.0%
42.0 1
 
2.0%
37.3 1
 
2.0%
32.2 6
 
12.2%
27.2 1
 
2.0%
23.0 1
 
2.0%

SHIP_LNTH
Real number (ℝ)

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean323.36735
Minimum104.4
Maximum393.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:30.274763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum104.4
5-th percentile195.4
Q1319
median336.4
Q3376
95-th percentile378
Maximum393.9
Range289.5
Interquartile range (IQR)57

Descriptive statistics

Standard deviation66.313433
Coefficient of variation (CV)0.20507152
Kurtosis2.1286601
Mean323.36735
Median Absolute Deviation (MAD)21.7
Skewness-1.6607005
Sum15845
Variance4397.4714
MonotonicityNot monotonic
2023-12-10T23:22:30.381039image/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 5
10.2%
195.4 3
 
6.1%
378.0 3
 
6.1%
319.0 2
 
4.1%
224.8 2
 
4.1%
314.7 2
 
4.1%
154.6 1
 
2.0%
Other values (7) 7
14.3%
ValueCountFrequency (%)
104.4 1
 
2.0%
154.6 1
 
2.0%
195.4 3
6.1%
224.0 1
 
2.0%
224.8 2
 
4.1%
252.4 1
 
2.0%
314.7 2
 
4.1%
319.0 2
 
4.1%
328.9 1
 
2.0%
331.5 5
10.2%
ValueCountFrequency (%)
393.9 1
 
2.0%
378.5 1
 
2.0%
378.0 3
 
6.1%
376.2 1
 
2.0%
376.0 8
16.3%
351.1 10
20.4%
336.4 6
12.2%
331.5 5
10.2%
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%
Mean25
Minimum14
Maximum33.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:30.474171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile16.4
Q124.1
median24.1
Q330.2
95-th percentile33.2
Maximum33.5
Range19.5
Interquartile range (IQR)6.1

Descriptive statistics

Standard deviation4.9815911
Coefficient of variation (CV)0.19926364
Kurtosis-0.27834587
Mean25
Median Absolute Deviation (MAD)0.5
Skewness-0.17582548
Sum1225
Variance24.81625
MonotonicityNot monotonic
2023-12-10T23:22:30.580311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
24.1 21
42.9%
30.2 8
 
16.3%
33.2 4
 
8.2%
24.6 4
 
8.2%
16.4 3
 
6.1%
18.5 2
 
4.1%
30.3 1
 
2.0%
18.2 1
 
2.0%
21.4 1
 
2.0%
15.2 1
 
2.0%
Other values (3) 3
 
6.1%
ValueCountFrequency (%)
14.0 1
 
2.0%
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 21
42.9%
24.6 4
 
8.2%
27.3 1
 
2.0%
30.2 8
 
16.3%
ValueCountFrequency (%)
33.5 1
 
2.0%
33.2 4
 
8.2%
30.3 1
 
2.0%
30.2 8
 
16.3%
27.3 1
 
2.0%
24.6 4
 
8.2%
24.1 21
42.9%
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
Sgkxyq
37 
6
6 
ISGIMS
5 
Sgxlxkz
 
1

Length

Max length7
Median length6
Mean length5.4081633
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st rowSgkxyq
2nd row6
3rd row6
4th row6
5th row6

Common Values

ValueCountFrequency (%)
Sgkxyq 37
75.5%
6 6
 
12.2%
ISGIMS 5
 
10.2%
Sgxlxkz 1
 
2.0%

Length

2023-12-10T23:22:30.701246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:30.796363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sgkxyq 37
75.5%
6 6
 
12.2%
isgims 5
 
10.2%
sgxlxkz 1
 
2.0%

DRAFT
Real number (ℝ)

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.440816
Minimum8.2
Maximum17
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:30.892172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.2
5-th percentile11.2
Q114.5
median14.5
Q316
95-th percentile16.5
Maximum17
Range8.8
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.8415255
Coefficient of variation (CV)0.12752225
Kurtosis2.1541047
Mean14.440816
Median Absolute Deviation (MAD)0.5
Skewness-1.4112471
Sum707.6
Variance3.391216
MonotonicityNot monotonic
2023-12-10T23:22:30.988652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
14.5 21
42.9%
16.0 10
20.4%
16.5 4
 
8.2%
15.0 4
 
8.2%
11.2 3
 
6.1%
12.0 3
 
6.1%
17.0 1
 
2.0%
12.5 1
 
2.0%
8.2 1
 
2.0%
9.8 1
 
2.0%
ValueCountFrequency (%)
8.2 1
 
2.0%
9.8 1
 
2.0%
11.2 3
 
6.1%
12.0 3
 
6.1%
12.5 1
 
2.0%
14.5 21
42.9%
15.0 4
 
8.2%
16.0 10
20.4%
16.5 4
 
8.2%
17.0 1
 
2.0%
ValueCountFrequency (%)
17.0 1
 
2.0%
16.5 4
 
8.2%
16.0 10
20.4%
15.0 4
 
8.2%
14.5 21
42.9%
12.5 1
 
2.0%
12.0 3
 
6.1%
11.2 3
 
6.1%
9.8 1
 
2.0%
8.2 1
 
2.0%

SHPYRD_NM
Categorical

Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size524.0 B
UjktykRotju
30 
Burqyckxlz
6 
JgkcuuJYSK
5 
NeatjgoYgsnuNO
 
3
YgsyatmNO
 
2
Other values (3)
 
3

Length

Max length15
Median length11
Mean length11.102041
Min length9

Unique

Unique3 ?
Unique (%)6.1%

Sample

1st rowUjktykRotju
2nd rowJgkcuuJYSK
3rd rowJgkcuuJYSK
4th rowJgkcuuJYSK
5th rowJgkcuuJYSK

Common Values

ValueCountFrequency (%)
UjktykRotju 30
61.2%
Burqyckxlz 6
 
12.2%
JgkcuuJYSK 5
 
10.2%
NeatjgoYgsnuNO 3
 
6.1%
YgsyatmNO 2
 
4.1%
XksutzucgXkvgox 1
 
2.0%
NeatjgoNOArygt 1
 
2.0%
YIYYnovhaorjotm 1
 
2.0%

Length

2023-12-10T23:22:31.107314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:31.227106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ujktykrotju 30
61.2%
burqyckxlz 6
 
12.2%
jgkcuujysk 5
 
10.2%
neatjgoygsnuno 3
 
6.1%
ygsyatmno 2
 
4.1%
xksutzucgxkvgox 1
 
2.0%
neatjgonoarygt 1
 
2.0%
yiyynovhaorjotm 1
 
2.0%

BULD_YR
Real number (ℝ)

Distinct15
Distinct (%)30.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2006.5714
Minimum1999
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:31.338946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1999
5-th percentile2001
Q12003
median2006
Q32008
95-th percentile2017
Maximum2021
Range22
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.8691204
Coefficient of variation (CV)0.0024265871
Kurtosis1.3815235
Mean2006.5714
Median Absolute Deviation (MAD)3
Skewness1.2790473
Sum98322
Variance23.708333
MonotonicityNot monotonic
2023-12-10T23:22:31.438678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
2003 7
14.3%
2006 6
12.2%
2007 6
12.2%
2005 5
10.2%
2002 4
8.2%
2008 4
8.2%
2017 3
6.1%
2001 3
6.1%
2004 3
6.1%
2009 2
 
4.1%
Other values (5) 6
12.2%
ValueCountFrequency (%)
1999 1
 
2.0%
2001 3
6.1%
2002 4
8.2%
2003 7
14.3%
2004 3
6.1%
2005 5
10.2%
2006 6
12.2%
2007 6
12.2%
2008 4
8.2%
2009 2
 
4.1%
ValueCountFrequency (%)
2021 1
 
2.0%
2018 1
 
2.0%
2017 3
6.1%
2014 1
 
2.0%
2011 2
 
4.1%
2009 2
 
4.1%
2008 4
8.2%
2007 6
12.2%
2006 6
12.2%
2005 5
10.2%

DDWGHT
Real number (ℝ)

Distinct17
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117972.78
Minimum8800
Maximum221250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:31.543792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8800
5-th percentile35097
Q1101818
median113964
Q3174239
95-th percentile190326
Maximum221250
Range212450
Interquartile range (IQR)72421

Descriptive statistics

Standard deviation52250.642
Coefficient of variation (CV)0.44290424
Kurtosis-0.42829966
Mean117972.78
Median Absolute Deviation (MAD)12352
Skewness-0.083412795
Sum5780666
Variance2.7301296 × 109
MonotonicityNot monotonic
2023-12-10T23:22:31.664076image/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%
190326 4
 
8.2%
35097 3
 
6.1%
104600 3
 
6.1%
41028 3
 
6.1%
101612 2
 
4.1%
101818 2
 
4.1%
110381 1
 
2.0%
Other values (7) 7
14.3%
ValueCountFrequency (%)
8800 1
 
2.0%
21262 1
 
2.0%
35097 3
6.1%
41028 3
6.1%
63200 1
 
2.0%
101612 2
 
4.1%
101818 2
 
4.1%
104600 3
6.1%
109000 6
12.2%
109657 1
 
2.0%
ValueCountFrequency (%)
221250 1
 
2.0%
213971 1
 
2.0%
190326 4
 
8.2%
174239 8
16.3%
115993 10
20.4%
113964 1
 
2.0%
110381 1
 
2.0%
109657 1
 
2.0%
109000 6
12.2%
104600 3
 
6.1%

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
2023-12-10T23:22:31.814341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:31.998204image/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
2023-12-10T23:22:32.178921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:22:32.363865image/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%
Mean25.683859
Minimum-37.973701
Maximum66.941902
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.2%
Memory size573.0 B
2023-12-10T23:22:32.529361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-37.973701
5-th percentile-15.673296
Q113.8188
median30.305901
Q336.8983
95-th percentile53.221379
Maximum66.941902
Range104.9156
Interquartile range (IQR)23.0795

Descriptive statistics

Standard deviation20.893229
Coefficient of variation (CV)0.81347702
Kurtosis1.4003658
Mean25.683859
Median Absolute Deviation (MAD)10.359001
Skewness-0.94039762
Sum1258.5091
Variance436.52701
MonotonicityNot monotonic
2023-12-10T23:22:32.681068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
30.200001 1
 
2.0%
31.9578 1
 
2.0%
33.666698 1
 
2.0%
30.305901 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%
Other values (39) 39
79.6%
ValueCountFrequency (%)
-37.973701 1
2.0%
-26.7813 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%
11.7161 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%
Mean21.65417
Minimum-130.51601
Maximum144.87199
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)36.7%
Memory size573.0 B
2023-12-10T23:22:32.813396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-130.51601
5-th percentile-101.65668
Q1-73.516701
median14.96
Q3117.348
95-th percentile127.4328
Maximum144.87199
Range275.388
Interquartile range (IQR)190.8647

Descriptive statistics

Standard deviation85.317857
Coefficient of variation (CV)3.9400196
Kurtosis-1.4170219
Mean21.65417
Median Absolute Deviation (MAD)89.104798
Skewness-0.13512683
Sum1061.0544
Variance7279.1366
MonotonicityNot monotonic
2023-12-10T23:22:32.939197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
123.121002 1
 
2.0%
125.790001 1
 
2.0%
-118.126999 1
 
2.0%
122.800003 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%
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%
-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%
-74.231499 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%
123.121002 1
2.0%
122.800003 1
2.0%
122.523003 1
2.0%
122.288002 1
2.0%
122.161003 1
2.0%

DTNT_LA
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.025658
Minimum-37.698299
Maximum61.307301
Zeros0
Zeros (%)0.0%
Negative4
Negative (%)8.2%
Memory size573.0 B
2023-12-10T23:22:33.072884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-37.698299
5-th percentile-5.493976
Q110.0267
median22.5665
Q333.321602
95-th percentile52.75366
Maximum61.307301
Range99.0056
Interquartile range (IQR)23.294902

Descriptive statistics

Standard deviation19.478046
Coefficient of variation (CV)0.88433434
Kurtosis1.6353411
Mean22.025658
Median Absolute Deviation (MAD)12.323
Skewness-0.74768232
Sum1079.2573
Variance379.39428
MonotonicityNot monotonic
2023-12-10T23:22:33.208399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
8.05306 1
 
2.0%
30.3633 1
 
2.0%
47.728298 1
 
2.0%
11.2 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%
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%
1.28469 1
2.0%
3.80088 1
2.0%
5.445 1
2.0%
6.00225 1
2.0%
7.2282 1
2.0%
8.05306 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%
Mean9.1173338
Minimum-162.907
Maximum142.199
Zeros0
Zeros (%)0.0%
Negative20
Negative (%)40.8%
Memory size573.0 B
2023-12-10T23:22:33.333466image/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 deviation89.890403
Coefficient of variation (CV)9.8592862
Kurtosis-1.3402178
Mean9.1173338
Median Absolute Deviation (MAD)91.630499
Skewness-0.12975611
Sum446.74935
Variance8080.2846
MonotonicityNot monotonic
2023-12-10T23:22:33.447181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
-79.458801 1
 
2.0%
122.769997 1
 
2.0%
-153.897003 1
 
2.0%
-90.536697 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%
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%
-80.634201 1
2.0%
-80.214302 1
2.0%
-79.987099 1
2.0%
-79.5354 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%
116.220001 1
2.0%
114.285004 1
2.0%
114.232002 1
2.0%

NVGTN_TM
Real number (ℝ)

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2831.5728
Minimum715.758
Maximum2879.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:33.560934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum715.758
5-th percentile2846.548
Q12874.92
median2879.33
Q32879.78
95-th percentile2879.936
Maximum2879.97
Range2164.212
Interquartile range (IQR)4.86

Descriptive statistics

Standard deviation308.72278
Coefficient of variation (CV)0.10902873
Kurtosis48.887606
Mean2831.5728
Median Absolute Deviation (MAD)0.56
Skewness-6.9883473
Sum138747.07
Variance95309.752
MonotonicityNot monotonic
2023-12-10T23:22:33.909021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2879.78 3
 
6.1%
2879.63 3
 
6.1%
2879.52 2
 
4.1%
2868.01 1
 
2.0%
2874.0 1
 
2.0%
2872.39 1
 
2.0%
2871.76 1
 
2.0%
2879.26 1
 
2.0%
2879.33 1
 
2.0%
2879.55 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
715.758 1
2.0%
2827.0 1
2.0%
2832.24 1
2.0%
2868.01 1
2.0%
2869.07 1
2.0%
2869.62 1
2.0%
2871.76 1
2.0%
2872.06 1
2.0%
2872.39 1
2.0%
2873.5 1
2.0%
ValueCountFrequency (%)
2879.97 1
2.0%
2879.95 1
2.0%
2879.94 1
2.0%
2879.93 1
2.0%
2879.9 1
2.0%
2879.88 1
2.0%
2879.87 1
2.0%
2879.86 1
2.0%
2879.85 1
2.0%
2879.82 1
2.0%

PRT_NCHRG_TM
Real number (ℝ)

Distinct44
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2831.5728
Minimum715.758
Maximum2879.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:22:34.018402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum715.758
5-th percentile2846.548
Q12874.92
median2879.33
Q32879.78
95-th percentile2879.936
Maximum2879.97
Range2164.212
Interquartile range (IQR)4.86

Descriptive statistics

Standard deviation308.72278
Coefficient of variation (CV)0.10902873
Kurtosis48.887606
Mean2831.5728
Median Absolute Deviation (MAD)0.56
Skewness-6.9883473
Sum138747.07
Variance95309.752
MonotonicityNot monotonic
2023-12-10T23:22:34.125816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2879.78 3
 
6.1%
2879.63 3
 
6.1%
2879.52 2
 
4.1%
2868.01 1
 
2.0%
2874.0 1
 
2.0%
2872.39 1
 
2.0%
2871.76 1
 
2.0%
2879.26 1
 
2.0%
2879.33 1
 
2.0%
2879.55 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
715.758 1
2.0%
2827.0 1
2.0%
2832.24 1
2.0%
2868.01 1
2.0%
2869.07 1
2.0%
2869.62 1
2.0%
2871.76 1
2.0%
2872.06 1
2.0%
2872.39 1
2.0%
2873.5 1
2.0%
ValueCountFrequency (%)
2879.97 1
2.0%
2879.95 1
2.0%
2879.94 1
2.0%
2879.93 1
2.0%
2879.9 1
2.0%
2879.88 1
2.0%
2879.87 1
2.0%
2879.86 1
2.0%
2879.85 1
2.0%
2879.82 1
2.0%

BLLAT_HOUR
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

2023-12-10T23:22:34.229632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:34.309907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

FRGHT_CNVNC_TM
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

2023-12-10T23:22:34.394653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:34.475807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

NNVGTN_TM
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

2023-12-10T23:22:34.587030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:22:34.738911image/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
2023-12-10T23:22:34.861706image/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
2023-12-10T23:22:35.019814image/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_LONVGTN_TMPRT_NCHRG_TMBLLAT_HOURFRGHT_CNVNC_TMNNVGTN_TMRN
08754066665754131IrolluxjSgkxyqContainer42.0331.524.1Sgkxyq14.5UjktykRotju199911038101-Jan-2023 00:05:5930-Apr-2023 23:57:1730.200001123.1210028.05306-79.4588012879.522879.520002
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