Overview

Dataset statistics

Number of variables17
Number of observations85
Missing cells17
Missing cells (%)1.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.0 KiB
Average record size in memory144.6 B

Variable types

Numeric6
Text5
Categorical4
DateTime2

Dataset

Description경기도 시흥시 항구 운행 선박정보입니다.(경기도 시흥시 항구 운행 선박정보에는 어선번호, 어선명, 선체재질, 추진기관등이 있습니다.)
Author경기도 시흥시
URLhttps://www.data.go.kr/data/15088676/fileData.do

Alerts

선체재질 has constant value ""Constant
마력 is highly overall correlated with 어선길이(m) and 2 other fieldsHigh correlation
어선길이(m) is highly overall correlated with 마력 and 3 other fieldsHigh correlation
어선너비(m) is highly overall correlated with 마력 and 3 other fieldsHigh correlation
어선총톤수(톤) is highly overall correlated with 마력 and 3 other fieldsHigh correlation
추진기관 is highly overall correlated with 어선길이(m) and 2 other fieldsHigh correlation
허가내역-주어업 has 2 (2.4%) missing valuesMissing
허가내역-그외어업1 has 15 (17.6%) missing valuesMissing
번호 has unique valuesUnique
어선번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:05:32.053309
Analysis finished2023-12-12 13:05:37.009130
Duration4.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43
Minimum1
Maximum85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:05:37.075619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.2
Q122
median43
Q364
95-th percentile80.8
Maximum85
Range84
Interquartile range (IQR)42

Descriptive statistics

Standard deviation24.681302
Coefficient of variation (CV)0.57398377
Kurtosis-1.2
Mean43
Median Absolute Deviation (MAD)21
Skewness0
Sum3655
Variance609.16667
MonotonicityStrictly increasing
2023-12-12T22:05:37.202620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
55 1
 
1.2%
63 1
 
1.2%
62 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (75) 75
88.2%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
85 1
1.2%
84 1
1.2%
83 1
1.2%
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%

어선번호
Text

UNIQUE 

Distinct85
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:05:37.405917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters1275
Distinct characters11
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

Unique85 ?
Unique (%)100.0%

Sample

1st row0004008-6417509
2nd row0008001-6287202
3rd row0012007-6412704
4th row0103009-6417508
5th row0104002-6413909
ValueCountFrequency (%)
0004008-6417509 1
 
1.2%
1009001-6415909 1
 
1.2%
1702002-6413900 1
 
1.2%
1702001-6413901 1
 
1.2%
1702001-6281107 1
 
1.2%
1611001-6413904 1
 
1.2%
1603001-6413901 1
 
1.2%
1511001-6415904 1
 
1.2%
1506001-6413907 1
 
1.2%
1309001-6413905 1
 
1.2%
Other values (75) 75
88.2%
2023-12-12T22:05:37.806429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 383
30.0%
1 210
16.5%
4 105
 
8.2%
6 105
 
8.2%
2 96
 
7.5%
- 85
 
6.7%
9 83
 
6.5%
3 72
 
5.6%
7 54
 
4.2%
8 49
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1190
93.3%
Dash Punctuation 85
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 383
32.2%
1 210
17.6%
4 105
 
8.8%
6 105
 
8.8%
2 96
 
8.1%
9 83
 
7.0%
3 72
 
6.1%
7 54
 
4.5%
8 49
 
4.1%
5 33
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1275
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 383
30.0%
1 210
16.5%
4 105
 
8.2%
6 105
 
8.2%
2 96
 
7.5%
- 85
 
6.7%
9 83
 
6.5%
3 72
 
5.6%
7 54
 
4.2%
8 49
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 383
30.0%
1 210
16.5%
4 105
 
8.2%
6 105
 
8.2%
2 96
 
7.5%
- 85
 
6.7%
9 83
 
6.5%
3 72
 
5.6%
7 54
 
4.2%
8 49
 
3.8%

어선명
Text

Distinct84
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:05:38.113323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.5058824
Min length2

Characters and Unicode

Total characters298
Distinct characters88
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)97.6%

Sample

1st row선경호
2nd row원영호
3rd row대양2호
4th row스피드호
5th row오이도피아호
ValueCountFrequency (%)
민지호 2
 
2.4%
재광2호 1
 
1.2%
한포1호 1
 
1.2%
홍덕호 1
 
1.2%
선상3호 1
 
1.2%
대영3호 1
 
1.2%
군자호 1
 
1.2%
지평선호 1
 
1.2%
시흥1호 1
 
1.2%
은복호 1
 
1.2%
Other values (74) 74
87.1%
2023-12-12T22:05:38.538692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 85
28.5%
진 13
 
4.4%
성 12
 
4.0%
2 11
 
3.7%
대 8
 
2.7%
일 8
 
2.7%
3 6
 
2.0%
1 6
 
2.0%
이 5
 
1.7%
선 5
 
1.7%
Other values (78) 139
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 275
92.3%
Decimal Number 23
 
7.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 85
30.9%
진 13
 
4.7%
성 12
 
4.4%
대 8
 
2.9%
일 8
 
2.9%
이 5
 
1.8%
선 5
 
1.8%
스 5
 
1.8%
흥 5
 
1.8%
원 4
 
1.5%
Other values (75) 125
45.5%
Decimal Number
ValueCountFrequency (%)
2 11
47.8%
3 6
26.1%
1 6
26.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 275
92.3%
Common 23
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 85
30.9%
진 13
 
4.7%
성 12
 
4.4%
대 8
 
2.9%
일 8
 
2.9%
이 5
 
1.8%
선 5
 
1.8%
스 5
 
1.8%
흥 5
 
1.8%
원 4
 
1.5%
Other values (75) 125
45.5%
Common
ValueCountFrequency (%)
2 11
47.8%
3 6
26.1%
1 6
26.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 275
92.3%
ASCII 23
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 85
30.9%
진 13
 
4.7%
성 12
 
4.4%
대 8
 
2.9%
일 8
 
2.9%
이 5
 
1.8%
선 5
 
1.8%
스 5
 
1.8%
흥 5
 
1.8%
원 4
 
1.5%
Other values (75) 125
45.5%
ASCII
ValueCountFrequency (%)
2 11
47.8%
3 6
26.1%
1 6
26.1%

선체재질
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size812.0 B
FRP
85 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
FRP 85
100.0%

Length

2023-12-12T22:05:38.718154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:05:38.837272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
frp 85
100.0%

추진기관
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
가솔린선외기
63 
선박용디젤
21 
가솔린기타
 
1

Length

Max length6
Median length6
Mean length5.7411765
Min length5

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row가솔린선외기
2nd row선박용디젤
3rd row선박용디젤
4th row가솔린선외기
5th row선박용디젤

Common Values

ValueCountFrequency (%)
가솔린선외기 63
74.1%
선박용디젤 21
 
24.7%
가솔린기타 1
 
1.2%

Length

2023-12-12T22:05:38.932414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:05:39.026121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가솔린선외기 63
74.1%
선박용디젤 21
 
24.7%
가솔린기타 1
 
1.2%

마력
Real number (ℝ)

HIGH CORRELATION 

Distinct24
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean337.4
Minimum85
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:05:39.128126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile200
Q1250
median300
Q3325
95-th percentile744.2
Maximum1200
Range1115
Interquartile range (IQR)75

Descriptive statistics

Standard deviation186.50585
Coefficient of variation (CV)0.55277372
Kurtosis7.5973668
Mean337.4
Median Absolute Deviation (MAD)50
Skewness2.5990641
Sum28679
Variance34784.433
MonotonicityNot monotonic
2023-12-12T22:05:39.248190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
250 26
30.6%
300 16
18.8%
325 11
12.9%
200 5
 
5.9%
320 3
 
3.5%
225 3
 
3.5%
360 2
 
2.4%
500 2
 
2.4%
85 2
 
2.4%
1200 1
 
1.2%
Other values (14) 14
16.5%
ValueCountFrequency (%)
85 2
 
2.4%
150 1
 
1.2%
200 5
 
5.9%
225 3
 
3.5%
230 1
 
1.2%
250 26
30.6%
300 16
18.8%
320 3
 
3.5%
325 11
12.9%
350 1
 
1.2%
ValueCountFrequency (%)
1200 1
1.2%
1018 1
1.2%
911 1
1.2%
800 1
1.2%
750 1
1.2%
721 1
1.2%
720 1
1.2%
550 1
1.2%
530 1
1.2%
500 2
2.4%

엔진수
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
1
70 
2
15 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 70
82.4%
2 15
 
17.6%

Length

2023-12-12T22:05:39.354754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:05:39.452416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 70
82.4%
2 15
 
17.6%

추진기
Categorical

Distinct2
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size812.0 B
나선일체식
75 
나선기관일체식
10 

Length

Max length7
Median length5
Mean length5.2352941
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
나선일체식 75
88.2%
나선기관일체식 10
 
11.8%

Length

2023-12-12T22:05:39.614341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:05:39.753777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
나선일체식 75
88.2%
나선기관일체식 10
 
11.8%

조선자
Text

Distinct44
Distinct (%)51.8%
Missing0
Missing (%)0.0%
Memory size812.0 B
2023-12-12T22:05:39.977594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.4352941
Min length2

Characters and Unicode

Total characters547
Distinct characters72
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)37.6%

Sample

1st row한성조선
2nd row제일FRP조선소
3rd row동성FRP조선소
4th row해성FRP조선
5th row해양FRP조선소
ValueCountFrequency (%)
한길조선소 11
 
11.2%
해본frp조선소 8
 
8.2%
그린프러스비치 6
 
6.1%
득호frp조선소 6
 
6.1%
해본조선소 5
 
5.1%
조선소 5
 
5.1%
미상 4
 
4.1%
해본조선 3
 
3.1%
해본 3
 
3.1%
frp 2
 
2.0%
Other values (37) 45
45.9%
2023-12-12T22:05:40.357274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 69
 
12.6%
조 66
 
12.1%
소 57
 
10.4%
F 30
 
5.5%
R 30
 
5.5%
P 30
 
5.5%
해 25
 
4.6%
한 24
 
4.4%
본 19
 
3.5%
길 15
 
2.7%
Other values (62) 182
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 437
79.9%
Uppercase Letter 90
 
16.5%
Space Separator 13
 
2.4%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 69
15.8%
조 66
15.1%
소 57
13.0%
해 25
 
5.7%
한 24
 
5.5%
본 19
 
4.3%
길 15
 
3.4%
성 9
 
2.1%
치 9
 
2.1%
스 8
 
1.8%
Other values (52) 136
31.1%
Uppercase Letter
ValueCountFrequency (%)
F 30
33.3%
R 30
33.3%
P 30
33.3%
Lowercase Letter
ValueCountFrequency (%)
f 1
33.3%
r 1
33.3%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 437
79.9%
Latin 93
 
17.0%
Common 17
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 69
15.8%
조 66
15.1%
소 57
13.0%
해 25
 
5.7%
한 24
 
5.5%
본 19
 
4.3%
길 15
 
3.4%
성 9
 
2.1%
치 9
 
2.1%
스 8
 
1.8%
Other values (52) 136
31.1%
Latin
ValueCountFrequency (%)
F 30
32.3%
R 30
32.3%
P 30
32.3%
f 1
 
1.1%
r 1
 
1.1%
p 1
 
1.1%
Common
ValueCountFrequency (%)
13
76.5%
. 2
 
11.8%
) 1
 
5.9%
( 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 437
79.9%
ASCII 110
 
20.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 69
15.8%
조 66
15.1%
소 57
13.0%
해 25
 
5.7%
한 24
 
5.5%
본 19
 
4.3%
길 15
 
3.4%
성 9
 
2.1%
치 9
 
2.1%
스 8
 
1.8%
Other values (52) 136
31.1%
ASCII
ValueCountFrequency (%)
F 30
27.3%
R 30
27.3%
P 30
27.3%
13
11.8%
. 2
 
1.8%
f 1
 
0.9%
r 1
 
0.9%
p 1
 
0.9%
) 1
 
0.9%
( 1
 
0.9%

어선길이(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.554
Minimum5.58
Maximum17.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:05:40.509706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.58
5-th percentile7.208
Q18.02
median8.54
Q39.54
95-th percentile15.16
Maximum17.63
Range12.05
Interquartile range (IQR)1.52

Descriptive statistics

Standard deviation2.7082041
Coefficient of variation (CV)0.28346285
Kurtosis1.1931002
Mean9.554
Median Absolute Deviation (MAD)0.78
Skewness1.49124
Sum812.09
Variance7.3343695
MonotonicityNot monotonic
2023-12-12T22:05:40.673724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.51 7
 
8.2%
8.15 5
 
5.9%
8.54 5
 
5.9%
8.64 4
 
4.7%
7.65 4
 
4.7%
9.0 3
 
3.5%
9.54 3
 
3.5%
8.42 3
 
3.5%
7.63 2
 
2.4%
9.32 2
 
2.4%
Other values (42) 47
55.3%
ValueCountFrequency (%)
5.58 1
1.2%
6.39 1
1.2%
6.66 1
1.2%
6.84 1
1.2%
7.2 1
1.2%
7.24 1
1.2%
7.47 2
2.4%
7.56 2
2.4%
7.61 1
1.2%
7.63 2
2.4%
ValueCountFrequency (%)
17.63 1
1.2%
16.7 1
1.2%
16.5 2
2.4%
15.25 1
1.2%
14.8 2
2.4%
14.76 1
1.2%
14.65 1
1.2%
14.3 1
1.2%
14.2 1
1.2%
13.5 1
1.2%

어선너비(m)
Real number (ℝ)

HIGH CORRELATION 

Distinct52
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.6770588
Minimum1.8
Maximum4.24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:05:40.811570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.8
5-th percentile2.072
Q12.2
median2.48
Q32.85
95-th percentile3.85
Maximum4.24
Range2.44
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.62977854
Coefficient of variation (CV)0.23525017
Kurtosis0.11152989
Mean2.6770588
Median Absolute Deviation (MAD)0.29
Skewness1.1258539
Sum227.55
Variance0.39662101
MonotonicityNot monotonic
2023-12-12T22:05:40.945216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.2 6
 
7.1%
2.6 6
 
7.1%
2.37 5
 
5.9%
2.1 4
 
4.7%
2.18 3
 
3.5%
2.57 3
 
3.5%
2.12 3
 
3.5%
2.45 2
 
2.4%
2.55 2
 
2.4%
3.27 2
 
2.4%
Other values (42) 49
57.6%
ValueCountFrequency (%)
1.8 1
 
1.2%
1.9 1
 
1.2%
2.02 1
 
1.2%
2.07 2
2.4%
2.08 1
 
1.2%
2.1 4
4.7%
2.12 3
3.5%
2.13 1
 
1.2%
2.17 2
2.4%
2.18 3
3.5%
ValueCountFrequency (%)
4.24 2
2.4%
4.12 1
1.2%
4.09 1
1.2%
3.85 2
2.4%
3.84 1
1.2%
3.82 1
1.2%
3.81 1
1.2%
3.8 1
1.2%
3.76 1
1.2%
3.72 1
1.2%

어선깊이(m)
Real number (ℝ)

Distinct33
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85941176
Minimum0.53
Maximum1.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:05:41.068341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.53
5-th percentile0.69
Q10.8
median0.85
Q30.94
95-th percentile1.07
Maximum1.11
Range0.58
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.11259232
Coefficient of variation (CV)0.13101091
Kurtosis0.33788546
Mean0.85941176
Median Absolute Deviation (MAD)0.06
Skewness-0.045695425
Sum73.05
Variance0.012677031
MonotonicityNot monotonic
2023-12-12T22:05:41.188663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0.84 14
16.5%
0.88 9
 
10.6%
0.94 8
 
9.4%
0.69 4
 
4.7%
0.85 4
 
4.7%
0.89 4
 
4.7%
0.73 3
 
3.5%
1.09 3
 
3.5%
0.95 3
 
3.5%
0.8 3
 
3.5%
Other values (23) 30
35.3%
ValueCountFrequency (%)
0.53 1
 
1.2%
0.64 1
 
1.2%
0.65 1
 
1.2%
0.66 1
 
1.2%
0.69 4
4.7%
0.71 1
 
1.2%
0.72 1
 
1.2%
0.73 3
3.5%
0.74 2
2.4%
0.75 1
 
1.2%
ValueCountFrequency (%)
1.11 1
 
1.2%
1.09 3
 
3.5%
1.07 2
 
2.4%
1.05 1
 
1.2%
1.01 1
 
1.2%
1.0 2
 
2.4%
0.99 1
 
1.2%
0.97 1
 
1.2%
0.95 3
 
3.5%
0.94 8
9.4%

어선총톤수(톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8816471
Minimum0.74
Maximum9.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size897.0 B
2023-12-12T22:05:41.326688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.74
5-th percentile1.868
Q12.25
median2.99
Q33.37
95-th percentile9.77
Maximum9.77
Range9.03
Interquartile range (IQR)1.12

Descriptive statistics

Standard deviation2.6700106
Coefficient of variation (CV)0.68785508
Kurtosis0.74577051
Mean3.8816471
Median Absolute Deviation (MAD)0.74
Skewness1.5251783
Sum329.94
Variance7.1289568
MonotonicityNot monotonic
2023-12-12T22:05:41.478001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3.0 16
18.8%
9.77 11
 
12.9%
2.26 3
 
3.5%
2.22 3
 
3.5%
2.99 3
 
3.5%
7.93 3
 
3.5%
1.98 3
 
3.5%
2.81 2
 
2.4%
2.84 2
 
2.4%
1.99 2
 
2.4%
Other values (33) 37
43.5%
ValueCountFrequency (%)
0.74 1
 
1.2%
1.14 1
 
1.2%
1.71 1
 
1.2%
1.85 1
 
1.2%
1.86 1
 
1.2%
1.9 1
 
1.2%
1.97 2
2.4%
1.98 3
3.5%
1.99 2
2.4%
2.11 1
 
1.2%
ValueCountFrequency (%)
9.77 11
12.9%
9.16 1
 
1.2%
7.93 3
 
3.5%
6.67 1
 
1.2%
4.61 1
 
1.2%
3.99 1
 
1.2%
3.86 1
 
1.2%
3.77 1
 
1.2%
3.55 1
 
1.2%
3.37 1
 
1.2%

어선등록일자
Date

Distinct82
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum1998-02-21 00:00:00
Maximum2022-08-19 00:00:00
2023-12-12T22:05:41.596683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:41.752885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

진수일자
Date

Distinct83
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size812.0 B
Minimum1990-05-01 00:00:00
Maximum2022-07-29 00:00:00
2023-12-12T22:05:41.880276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:42.064703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가내역-주어업
Text

MISSING 

Distinct83
Distinct (%)100.0%
Missing2
Missing (%)2.4%
Memory size812.0 B
2023-12-12T22:05:42.317618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length25.036145
Min length25

Characters and Unicode

Total characters2078
Distinct characters29
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)100.0%

Sample

1st row시흥시 연안자망어업 제2019 - 00044호
2nd row시흥시 연안복합어업 제2019 - 00072호
3rd row시흥시 연안자망어업 제2019 - 00001호
4th row시흥시 연안자망어업 제2019 - 00054호
5th row시흥시 연안자망어업 제2019 - 00050호
ValueCountFrequency (%)
시흥시 83
20.0%
83
20.0%
연안자망어업 71
17.1%
제2019 65
15.7%
제2020 12
 
2.9%
연안복합어업 8
 
1.9%
00001호 6
 
1.4%
제2022 5
 
1.2%
00002호 4
 
1.0%
00010호 3
 
0.7%
Other values (64) 75
18.1%
2023-12-12T22:05:42.742835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 374
18.0%
332
16.0%
시 166
 
8.0%
2 124
 
6.0%
1 91
 
4.4%
안 84
 
4.0%
제 83
 
4.0%
호 83
 
4.0%
흥 83
 
4.0%
- 83
 
4.0%
Other values (19) 575
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 916
44.1%
Decimal Number 747
35.9%
Space Separator 332
 
16.0%
Dash Punctuation 83
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 166
18.1%
안 84
9.2%
제 83
9.1%
호 83
9.1%
흥 83
9.1%
업 83
9.1%
어 83
9.1%
연 83
9.1%
망 72
7.9%
자 71
7.8%
Other values (7) 25
 
2.7%
Decimal Number
ValueCountFrequency (%)
0 374
50.1%
2 124
 
16.6%
1 91
 
12.2%
9 72
 
9.6%
4 18
 
2.4%
6 18
 
2.4%
3 18
 
2.4%
5 17
 
2.3%
7 8
 
1.1%
8 7
 
0.9%
Space Separator
ValueCountFrequency (%)
332
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1162
55.9%
Hangul 916
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 166
18.1%
안 84
9.2%
제 83
9.1%
호 83
9.1%
흥 83
9.1%
업 83
9.1%
어 83
9.1%
연 83
9.1%
망 72
7.9%
자 71
7.8%
Other values (7) 25
 
2.7%
Common
ValueCountFrequency (%)
0 374
32.2%
332
28.6%
2 124
 
10.7%
1 91
 
7.8%
- 83
 
7.1%
9 72
 
6.2%
4 18
 
1.5%
6 18
 
1.5%
3 18
 
1.5%
5 17
 
1.5%
Other values (2) 15
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1162
55.9%
Hangul 916
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 374
32.2%
332
28.6%
2 124
 
10.7%
1 91
 
7.8%
- 83
 
7.1%
9 72
 
6.2%
4 18
 
1.5%
6 18
 
1.5%
3 18
 
1.5%
5 17
 
1.5%
Other values (2) 15
 
1.3%
Hangul
ValueCountFrequency (%)
시 166
18.1%
안 84
9.2%
제 83
9.1%
호 83
9.1%
흥 83
9.1%
업 83
9.1%
어 83
9.1%
연 83
9.1%
망 72
7.9%
자 71
7.8%
Other values (7) 25
 
2.7%

허가내역-그외어업1
Text

MISSING 

Distinct70
Distinct (%)100.0%
Missing15
Missing (%)17.6%
Memory size812.0 B
2023-12-12T22:05:43.022305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters1750
Distinct characters26
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row시흥시 연안복합어업 제2019 - 00047호
2nd row시흥시 연안복합어업 제2019 - 00001호
3rd row시흥시 연안복합어업 제2019 - 00056호
4th row시흥시 연안복합어업 제2019 - 00052호
5th row시흥시 연안복합어업 제2019 - 00074호
ValueCountFrequency (%)
시흥시 70
20.0%
70
20.0%
연안복합어업 67
19.1%
제2019 56
16.0%
제2020 10
 
2.9%
제2022 4
 
1.1%
00002호 3
 
0.9%
00001호 3
 
0.9%
00005호 3
 
0.9%
00003호 3
 
0.9%
Other values (56) 61
17.4%
2023-12-12T22:05:43.395014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 317
18.1%
280
16.0%
시 140
 
8.0%
2 100
 
5.7%
1 72
 
4.1%
호 70
 
4.0%
연 70
 
4.0%
안 70
 
4.0%
어 70
 
4.0%
업 70
 
4.0%
Other values (16) 491
28.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 770
44.0%
Decimal Number 630
36.0%
Space Separator 280
 
16.0%
Dash Punctuation 70
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 140
18.2%
호 70
9.1%
연 70
9.1%
안 70
9.1%
어 70
9.1%
업 70
9.1%
제 70
9.1%
흥 70
9.1%
합 67
8.7%
복 67
8.7%
Other values (4) 6
 
0.8%
Decimal Number
ValueCountFrequency (%)
0 317
50.3%
2 100
 
15.9%
1 72
 
11.4%
9 62
 
9.8%
5 18
 
2.9%
4 16
 
2.5%
3 16
 
2.5%
7 11
 
1.7%
6 10
 
1.6%
8 8
 
1.3%
Space Separator
ValueCountFrequency (%)
280
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 980
56.0%
Hangul 770
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 140
18.2%
호 70
9.1%
연 70
9.1%
안 70
9.1%
어 70
9.1%
업 70
9.1%
제 70
9.1%
흥 70
9.1%
합 67
8.7%
복 67
8.7%
Other values (4) 6
 
0.8%
Common
ValueCountFrequency (%)
0 317
32.3%
280
28.6%
2 100
 
10.2%
1 72
 
7.3%
- 70
 
7.1%
9 62
 
6.3%
5 18
 
1.8%
4 16
 
1.6%
3 16
 
1.6%
7 11
 
1.1%
Other values (2) 18
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
56.0%
Hangul 770
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 317
32.3%
280
28.6%
2 100
 
10.2%
1 72
 
7.3%
- 70
 
7.1%
9 62
 
6.3%
5 18
 
1.8%
4 16
 
1.6%
3 16
 
1.6%
7 11
 
1.1%
Other values (2) 18
 
1.8%
Hangul
ValueCountFrequency (%)
시 140
18.2%
호 70
9.1%
연 70
9.1%
안 70
9.1%
어 70
9.1%
업 70
9.1%
제 70
9.1%
흥 70
9.1%
합 67
8.7%
복 67
8.7%
Other values (4) 6
 
0.8%

Interactions

2023-12-12T22:05:35.867477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.370559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.862348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.325931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.837567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.407732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.938590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.434031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.934536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.395114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.939474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.487778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:36.011598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.507692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.006899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.481211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.057007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.563999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:36.088900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.586832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.081203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.564696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.147480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.646408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:36.439292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.674046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.156826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.651400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.241618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.721696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:36.519921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:33.771199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.254623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:34.751968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.331474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:05:35.797999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:05:43.779281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호어선번호어선명추진기관마력엔진수추진기조선자어선길이(m)어선너비(m)어선깊이(m)어선총톤수(톤)어선등록일자진수일자허가내역-주어업허가내역-그외어업1
번호1.0001.0000.9380.2740.5180.0000.3240.7660.3850.4930.4320.3820.9851.0001.0001.000
어선번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
어선명0.9381.0001.0001.0000.9920.0001.0000.9981.0000.9800.9331.0000.9960.9961.0001.000
추진기관0.2741.0001.0001.0000.6690.0000.0001.0000.7330.8880.4890.7520.9521.0001.0001.000
마력0.5181.0000.9920.6691.0000.0000.2290.9790.9410.7920.6490.7630.9890.9381.0001.000
엔진수0.0001.0000.0000.0000.0001.0000.5130.1910.0000.4590.4920.4900.4671.0001.0001.000
추진기0.3241.0001.0000.0000.2290.5131.0000.5220.0000.0000.2400.0001.0001.0001.0001.000
조선자0.7661.0000.9981.0000.9790.1910.5221.0000.9680.9540.8510.9570.9860.9951.0001.000
어선길이(m)0.3851.0001.0000.7330.9410.0000.0000.9681.0000.8430.7400.8780.9730.9361.0001.000
어선너비(m)0.4931.0000.9800.8880.7920.4590.0000.9540.8431.0000.7200.8540.9430.8961.0001.000
어선깊이(m)0.4321.0000.9330.4890.6490.4920.2400.8510.7400.7201.0000.7210.0000.9841.0001.000
어선총톤수(톤)0.3821.0001.0000.7520.7630.4900.0000.9570.8780.8540.7211.0000.8880.0001.0001.000
어선등록일자0.9851.0000.9960.9520.9890.4671.0000.9860.9730.9430.0000.8881.0000.9981.0001.000
진수일자1.0001.0000.9961.0000.9381.0001.0000.9950.9360.8960.9840.0000.9981.0001.0001.000
허가내역-주어업1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
허가내역-그외어업11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T22:05:43.929029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추진기관엔진수추진기
추진기관1.0000.0000.000
엔진수0.0001.0000.343
추진기0.0000.3431.000
2023-12-12T22:05:44.030127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호마력어선길이(m)어선너비(m)어선깊이(m)어선총톤수(톤)추진기관엔진수추진기
번호1.000-0.019-0.0560.110-0.1560.0710.1590.0000.234
마력-0.0191.0000.7020.5620.2890.5980.4970.0000.163
어선길이(m)-0.0560.7021.0000.7410.3100.7880.5720.0000.000
어선너비(m)0.1100.5620.7411.0000.3830.9450.5940.4390.000
어선깊이(m)-0.1560.2890.3100.3831.0000.4410.3200.3470.281
어선총톤수(톤)0.0710.5980.7880.9450.4411.0000.6340.3540.000
추진기관0.1590.4970.5720.5940.3200.6341.0000.0000.000
엔진수0.0000.0000.0000.4390.3470.3540.0001.0000.343
추진기0.2340.1630.0000.0000.2810.0000.0000.3431.000

Missing values

2023-12-12T22:05:36.630721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:05:36.846213image/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.
2023-12-12T22:05:36.965106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

번호어선번호어선명선체재질추진기관마력엔진수추진기조선자어선길이(m)어선너비(m)어선깊이(m)어선총톤수(톤)어선등록일자진수일자허가내역-주어업허가내역-그외어업1
010004008-6417509선경호FRP가솔린선외기2501나선일체식한성조선8.642.360.691.862000-04-172000-03-01시흥시 연안자망어업 제2019 - 00044호시흥시 연안복합어업 제2019 - 00047호
120008001-6287202원영호FRP선박용디젤2301나선일체식제일FRP조선소9.02.90.973.992000-08-022000-07-29시흥시 연안복합어업 제2019 - 00072호<NA>
230012007-6412704대양2호FRP선박용디젤4201나선일체식동성FRP조선소13.33.71.09.772000-12-272000-12-26시흥시 연안자망어업 제2019 - 00001호시흥시 연안복합어업 제2019 - 00001호
340103009-6417508스피드호FRP가솔린선외기3251나선일체식해성FRP조선7.652.170.811.972001-03-262001-02-12시흥시 연안자망어업 제2019 - 00054호시흥시 연안복합어업 제2019 - 00056호
450104002-6413909오이도피아호FRP선박용디젤3252나선일체식해양FRP조선소14.763.761.099.772001-04-202001-04-07시흥시 연안자망어업 제2019 - 00050호시흥시 연안복합어업 제2019 - 00052호
560106004-6415901성운호FRP가솔린선외기2501나선일체식해성FRP조선소7.472.180.842.252001-06-202001-03-30시흥시 연안자망어업 제2019 - 00068호시흥시 연안복합어업 제2019 - 00074호
670110001-6468902재벌호FRP선박용디젤3602나선일체식동남FRP조선소14.83.841.119.162001-10-042001-09-28시흥시 연안자망어업 제2019 - 00038호시흥시 연안복합어업 제2019 - 00040호
780201001-6412709삼성2호FRP선박용디젤3201나선일체식태진조선소9.82.60.693.192002-01-212002-01-11시흥시 연안자망어업 제2019 - 00008호시흥시 연안복합어업 제2019 - 00008호
890202002-6412706흥진호FRP선박용디젤5001나선일체식한국조선13.333.631.077.932003-07-152002-02-15시흥시 연안통발어업 제2019 - 00002호시흥시 연안자망어업 제2019 - 00027호
9100203001-6412705진흥호FRP선박용디젤5001나선일체식한국조선공업(주)13.53.851.077.932002-03-052002-02-19시흥시 연안개량안강망어업 제2019 - 00001호시흥시 연안통발어업 제2019 - 00005호
번호어선번호어선명선체재질추진기관마력엔진수추진기조선자어선길이(m)어선너비(m)어선깊이(m)어선총톤수(톤)어선등록일자진수일자허가내역-주어업허가내역-그외어업1
75762201001-6413902승원호FRP선박용디젤10181나선일체식대영조선17.634.090.759.772022-01-122022-01-05시흥시 연안자망어업 제2019 - 00064호시흥시 연안복합어업 제2019 - 00068호
76772205001-6413904대장호FRP가솔린선외기3002나선일체식한길조선소8.592.710.733.02022-05-102022-04-08시흥시 연안자망어업 제2020 - 00006호시흥시 연안복합어업 제2020 - 00005호
77782207902-6287208몬스터호FRP선박용디젤7501나선일체식케이특수선16.54.240.949.772022-07-262022-07-04시흥시 연안복합어업 제2022 - 00004호<NA>
78792208901-6287207링커스호FRP선박용디젤7211나선일체식케이특수선16.54.240.949.772022-08-192022-07-29시흥시 연안자망어업 제2022 - 00004호시흥시 연안복합어업 제2022 - 00005호
79809802092-6412707신진호FRP가솔린선외기851나선일체식미상5.581.80.640.741998-02-211990-05-01시흥시 연안자망어업 제2020 - 00007호시흥시 연안복합어업 제2020 - 00006호
80819803019-6417503우주호FRP가솔린선외기2501나선기관일체식미상8.192.130.821.711998-03-191998-03-19시흥시 연안자망어업 제2019 - 00002호시흥시 연안복합어업 제2019 - 00002호
81829803106-6417507동백2호FRP가솔린선외기851나선기관일체식자세하지아니함6.661.90.791.142004-01-171998-03-19시흥시 연안복합어업 제2019 - 00024호<NA>
82839803194-6417501부흥3호FRP가솔린선외기1501나선기관일체식녹산F.R.P조선소7.22.070.81.851998-03-301996-10-01시흥시 연안자망어업 제2019 - 00026호시흥시 연안복합어업 제2019 - 00028호
83849909003-6417507강산호FRP가솔린선외기2501나선일체식녹산선박8.512.540.883.01999-09-221999-09-22시흥시 연안복합어업 제2019 - 00025호<NA>
84859910003-6413900금강호FRP가솔린선외기2501나선일체식군장조선소7.652.020.851.972003-04-071999-10-01시흥시 연안자망어업 제2019 - 00018호시흥시 연안복합어업 제2019 - 00018호