Overview

Dataset statistics

Number of variables13
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory112.7 B

Variable types

Numeric4
Categorical9

Dataset

DescriptionSample
Author에이치더블유
URLhttps://www.bigdata-sea.kr/datasearch/base/view.do?prodId=PROD_000062

Alerts

WRKNG_AREA has constant value ""Constant
FSH_LAW has constant value ""Constant
TME has constant value ""Constant
SOF has constant value ""Constant
STNDR has constant value ""Constant
PHOTO_INFO_ESSN_ID has constant value ""Constant
SEQ_NO is highly overall correlated with RN and 1 other fieldsHigh correlation
ENGNR_HRPR_QTY is highly overall correlated with SHIP_NM and 1 other fieldsHigh correlation
RN is highly overall correlated with SEQ_NO and 1 other fieldsHigh correlation
WRKNG_YMD is highly overall correlated with SEQ_NO and 1 other fieldsHigh correlation
SHIP_NM is highly overall correlated with ENGNR_HRPR_QTY and 1 other fieldsHigh correlation
WRKNG_FS_TOT_TN is highly overall correlated with ENGNR_HRPR_QTY and 1 other fieldsHigh correlation
SEQ_NO has unique valuesUnique
RN has unique valuesUnique
WRKNG_QTY has 15 (30.6%) zerosZeros

Reproduction

Analysis started2023-12-10 14:41:03.139827
Analysis finished2023-12-10 14:41:05.294455
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

SEQ_NO
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean532
Minimum508
Maximum556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:41:05.352508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum508
5-th percentile510.4
Q1520
median532
Q3544
95-th percentile553.6
Maximum556
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.02685844
Kurtosis-1.2
Mean532
Median Absolute Deviation (MAD)12
Skewness0
Sum26068
Variance204.16667
MonotonicityStrictly increasing
2023-12-10T23:41:05.474611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
508 1
 
2.0%
545 1
 
2.0%
535 1
 
2.0%
536 1
 
2.0%
537 1
 
2.0%
538 1
 
2.0%
539 1
 
2.0%
540 1
 
2.0%
541 1
 
2.0%
542 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
508 1
2.0%
509 1
2.0%
510 1
2.0%
511 1
2.0%
512 1
2.0%
513 1
2.0%
514 1
2.0%
515 1
2.0%
516 1
2.0%
517 1
2.0%
ValueCountFrequency (%)
556 1
2.0%
555 1
2.0%
554 1
2.0%
553 1
2.0%
552 1
2.0%
551 1
2.0%
550 1
2.0%
549 1
2.0%
548 1
2.0%
547 1
2.0%

WRKNG_YMD
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
04-Feb-2015 00:00:00
16 
05-Feb-2015 00:00:00
16 
06-Feb-2015 00:00:00
13 
03-Feb-2015 00:00:00
4 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row03-Feb-2015 00:00:00
2nd row03-Feb-2015 00:00:00
3rd row03-Feb-2015 00:00:00
4th row03-Feb-2015 00:00:00
5th row04-Feb-2015 00:00:00

Common Values

ValueCountFrequency (%)
04-Feb-2015 00:00:00 16
32.7%
05-Feb-2015 00:00:00 16
32.7%
06-Feb-2015 00:00:00 13
26.5%
03-Feb-2015 00:00:00 4
 
8.2%

Length

2023-12-10T23:41:05.593221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:05.701331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00:00 49
50.0%
04-feb-2015 16
 
16.3%
05-feb-2015 16
 
16.3%
06-feb-2015 13
 
13.3%
03-feb-2015 4
 
4.1%

WRKNG_AREA
Categorical

CONSTANT 

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

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동중국해 49
100.0%

Length

2023-12-10T23:41:05.801964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:05.881873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동중국해 49
100.0%

FSH_LAW
Categorical

CONSTANT 

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

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대형기선저인망 49
100.0%

Length

2023-12-10T23:41:05.967441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:06.045651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대형기선저인망 49
100.0%

SHIP_NM
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Memory size524.0 B
701대한, 702대한
4 
201삼정, 202삼정
 
3
101성진, 102성진
 
3
65동명, 66동명
 
3
87조일, 88조일
 
3
Other values (11)
33 

Length

Max length12
Median length12
Mean length11.020408
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row701대한, 702대한
2nd row201삼정, 202삼정
3rd row101성진, 102성진
4th row65동명, 66동명
5th row87조일, 88조일

Common Values

ValueCountFrequency (%)
701대한, 702대한 4
 
8.2%
201삼정, 202삼정 3
 
6.1%
101성진, 102성진 3
 
6.1%
65동명, 66동명 3
 
6.1%
87조일, 88조일 3
 
6.1%
87화평, 88화평 3
 
6.1%
11대평, 12대평 3
 
6.1%
95세중, 96세중 3
 
6.1%
101우일, 102우일 3
 
6.1%
215금양, 216금양 3
 
6.1%
Other values (6) 18
36.7%

Length

2023-12-10T23:41:06.154091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
701대한 4
 
4.1%
702대한 4
 
4.1%
315동창 3
 
3.1%
76동명 3
 
3.1%
75동명 3
 
3.1%
72해영 3
 
3.1%
71해영 3
 
3.1%
102해진 3
 
3.1%
101해진 3
 
3.1%
102대한 3
 
3.1%
Other values (22) 66
67.3%

TME
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

2023-12-10T23:41:06.281360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:06.363123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
100.0%

WRKNG_FS_TOT_TN
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
139
22 
135
15 
133
9 
138
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row139
2nd row139
3rd row139
4th row133
5th row135

Common Values

ValueCountFrequency (%)
139 22
44.9%
135 15
30.6%
133 9
18.4%
138 3
 
6.1%

Length

2023-12-10T23:41:06.443546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:06.564099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
139 22
44.9%
135 15
30.6%
133 9
18.4%
138 3
 
6.1%

ENGNR_HRPR_QTY
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1390.9184
Minimum1100
Maximum1800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:41:06.654679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1100
5-th percentile1100
Q11270
median1300
Q31400
95-th percentile1800
Maximum1800
Range700
Interquartile range (IQR)130

Descriptive statistics

Standard deviation232.54183
Coefficient of variation (CV)0.16718582
Kurtosis-0.71840231
Mean1390.9184
Median Absolute Deviation (MAD)100
Skewness0.8135948
Sum68155
Variance54075.702
MonotonicityNot monotonic
2023-12-10T23:41:06.748489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1270 10
20.4%
1300 9
18.4%
1800 6
12.2%
1740 6
12.2%
1100 6
12.2%
1400 6
12.2%
1200 3
 
6.1%
1305 3
 
6.1%
ValueCountFrequency (%)
1100 6
12.2%
1200 3
 
6.1%
1270 10
20.4%
1300 9
18.4%
1305 3
 
6.1%
1400 6
12.2%
1740 6
12.2%
1800 6
12.2%
ValueCountFrequency (%)
1800 6
12.2%
1740 6
12.2%
1400 6
12.2%
1305 3
 
6.1%
1300 9
18.4%
1270 10
20.4%
1200 3
 
6.1%
1100 6
12.2%

SOF
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무표 49
100.0%

Length

2023-12-10T23:41:06.869063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:06.950347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무표 49
100.0%

STNDR
Categorical

CONSTANT 

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

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무표 49
100.0%

Length

2023-12-10T23:41:07.048072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:07.142664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무표 49
100.0%

WRKNG_QTY
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3673.4694
Minimum0
Maximum20000
Zeros15
Zeros (%)30.6%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-10T23:41:07.212638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2000
Q34000
95-th percentile11200
Maximum20000
Range20000
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation4307.8792
Coefficient of variation (CV)1.1727004
Kurtosis4.1430161
Mean3673.4694
Median Absolute Deviation (MAD)2000
Skewness1.8763421
Sum180000
Variance18557823
MonotonicityNot monotonic
2023-12-10T23:41:07.322954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 15
30.6%
2000 12
24.5%
4000 10
20.4%
6000 5
 
10.2%
10000 3
 
6.1%
20000 1
 
2.0%
12000 1
 
2.0%
16000 1
 
2.0%
8000 1
 
2.0%
ValueCountFrequency (%)
0 15
30.6%
2000 12
24.5%
4000 10
20.4%
6000 5
 
10.2%
8000 1
 
2.0%
10000 3
 
6.1%
12000 1
 
2.0%
16000 1
 
2.0%
20000 1
 
2.0%
ValueCountFrequency (%)
20000 1
 
2.0%
16000 1
 
2.0%
12000 1
 
2.0%
10000 3
 
6.1%
8000 1
 
2.0%
6000 5
 
10.2%
4000 10
20.4%
2000 12
24.5%
0 15
30.6%

PHOTO_INFO_ESSN_ID
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
data/1607816250_Waaj
49 

Length

Max length20
Median length20
Mean length20
Min length20

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowdata/1607816250_Waaj
2nd rowdata/1607816250_Waaj
3rd rowdata/1607816250_Waaj
4th rowdata/1607816250_Waaj
5th rowdata/1607816250_Waaj

Common Values

ValueCountFrequency (%)
data/1607816250_Waaj 49
100.0%

Length

2023-12-10T23:41:07.438210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:41:07.508824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
data/1607816250_waaj 49
100.0%

RN
Real number (ℝ)

HIGH CORRELATION  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
2023-12-10T23:41:07.633105image/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
2023-12-10T23:41:07.769843image/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%

Interactions

2023-12-10T23:41:04.480901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.454518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.798952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.142876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.547476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.538702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.891331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.216676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.622498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.624044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.982031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.308080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.704303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:03.707907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.065912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T23:41:04.389239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T23:41:07.852331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SEQ_NOWRKNG_YMDSHIP_NMWRKNG_FS_TOT_TNENGNR_HRPR_QTYWRKNG_QTYRN
SEQ_NO1.0000.9630.0000.0000.4410.4331.000
WRKNG_YMD0.9631.0000.0000.0000.0000.0810.969
SHIP_NM0.0000.0001.0001.0001.0000.6980.000
WRKNG_FS_TOT_TN0.0000.0001.0001.0000.8900.7810.000
ENGNR_HRPR_QTY0.4410.0001.0000.8901.0000.0000.190
WRKNG_QTY0.4330.0810.6980.7810.0001.0000.425
RN1.0000.9690.0000.0000.1900.4251.000
2023-12-10T23:41:07.945797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
WRKNG_FS_TOT_TNWRKNG_YMDSHIP_NM
WRKNG_FS_TOT_TN1.0000.0000.856
WRKNG_YMD0.0001.0000.000
SHIP_NM0.8560.0001.000
2023-12-10T23:41:08.026437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
SEQ_NOENGNR_HRPR_QTYWRKNG_QTYRNWRKNG_YMDSHIP_NMWRKNG_FS_TOT_TN
SEQ_NO1.000-0.032-0.1531.0000.8480.0000.000
ENGNR_HRPR_QTY-0.0321.0000.057-0.0320.0000.8660.537
WRKNG_QTY-0.1530.0571.000-0.1530.0000.2760.424
RN1.000-0.032-0.1531.0000.8480.0000.000
WRKNG_YMD0.8480.0000.0000.8481.0000.0000.000
SHIP_NM0.0000.8660.2760.0000.0001.0000.856
WRKNG_FS_TOT_TN0.0000.5370.4240.0000.0000.8561.000

Missing values

2023-12-10T23:41:04.816377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:41:04.954155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

SEQ_NOWRKNG_YMDWRKNG_AREAFSH_LAWSHIP_NMTMEWRKNG_FS_TOT_TNENGNR_HRPR_QTYSOFSTNDRWRKNG_QTYPHOTO_INFO_ESSN_IDRN
050803-Feb-2015 00:00:00동중국해대형기선저인망701대한, 702대한01391270무표무표0data/1607816250_Waaj2
150903-Feb-2015 00:00:00동중국해대형기선저인망201삼정, 202삼정01391800무표무표20000data/1607816250_Waaj3
251003-Feb-2015 00:00:00동중국해대형기선저인망101성진, 102성진01391740무표무표0data/1607816250_Waaj4
351103-Feb-2015 00:00:00동중국해대형기선저인망65동명, 66동명01331100무표무표0data/1607816250_Waaj5
451204-Feb-2015 00:00:00동중국해대형기선저인망87조일, 88조일01351400무표무표2000data/1607816250_Waaj6
551304-Feb-2015 00:00:00동중국해대형기선저인망87화평, 88화평01381740무표무표12000data/1607816250_Waaj7
651404-Feb-2015 00:00:00동중국해대형기선저인망11대평, 12대평01351100무표무표4000data/1607816250_Waaj8
751504-Feb-2015 00:00:00동중국해대형기선저인망95세중, 96세중01351300무표무표4000data/1607816250_Waaj9
851604-Feb-2015 00:00:00동중국해대형기선저인망101우일, 102우일01351400무표무표4000data/1607816250_Waaj10
951704-Feb-2015 00:00:00동중국해대형기선저인망215금양, 216금양01331200무표무표4000data/1607816250_Waaj11
SEQ_NOWRKNG_YMDWRKNG_AREAFSH_LAWSHIP_NMTMEWRKNG_FS_TOT_TNENGNR_HRPR_QTYSOFSTNDRWRKNG_QTYPHOTO_INFO_ESSN_IDRN
3954706-Feb-2015 00:00:00동중국해대형기선저인망95세중, 96세중01351300무표무표0data/1607816250_Waaj41
4054806-Feb-2015 00:00:00동중국해대형기선저인망101우일, 102우일01351400무표무표2000data/1607816250_Waaj42
4154906-Feb-2015 00:00:00동중국해대형기선저인망215금양, 216금양01331200무표무표2000data/1607816250_Waaj43
4255006-Feb-2015 00:00:00동중국해대형기선저인망95세일, 96세일01391270무표무표4000data/1607816250_Waaj44
4355106-Feb-2015 00:00:00동중국해대형기선저인망101대한, 102대한01391305무표무표0data/1607816250_Waaj45
4455206-Feb-2015 00:00:00동중국해대형기선저인망101해진, 102해진01391270무표무표8000data/1607816250_Waaj46
4555306-Feb-2015 00:00:00동중국해대형기선저인망71해영, 72해영01331300무표무표6000data/1607816250_Waaj47
4655406-Feb-2015 00:00:00동중국해대형기선저인망75동명, 76동명01351300무표무표4000data/1607816250_Waaj48
4755506-Feb-2015 00:00:00동중국해대형기선저인망315동창, 316동창01391800무표무표0data/1607816250_Waaj49
4855606-Feb-2015 00:00:00동중국해대형기선저인망701대한, 702대한01391270무표무표0data/1607816250_Waaj50