Overview

Dataset statistics

Number of variables9
Number of observations535
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.3 KiB
Average record size in memory75.2 B

Variable types

Numeric3
Text2
Categorical4

Dataset

Description부산광역시 기장군 어업관련 현황(어선등록 현황(기관마력, 어선명, 어선번호, 어업의방법, 추진기관의 종류 등))
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/3072041/fileData.do

Alerts

마력 is highly overall correlated with 어선총톤수(톤) and 3 other fieldsHigh correlation
어선총톤수(톤) is highly overall correlated with 마력 and 2 other fieldsHigh correlation
어업방법 is highly overall correlated with 마력 and 1 other fieldsHigh correlation
선적항 is highly overall correlated with 마력 and 2 other fieldsHigh correlation
선체재질 is highly overall correlated with 마력 and 3 other fieldsHigh correlation
선체재질 is highly imbalanced (89.5%)Imbalance
추진기관 is highly imbalanced (55.9%)Imbalance
번호 has unique valuesUnique
어선번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:09:19.049240
Analysis finished2024-03-23 07:09:24.540665
Duration5.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct535
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean268
Minimum1
Maximum535
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-03-23T07:09:25.086540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27.7
Q1134.5
median268
Q3401.5
95-th percentile508.3
Maximum535
Range534
Interquartile range (IQR)267

Descriptive statistics

Standard deviation154.58547
Coefficient of variation (CV)0.57681144
Kurtosis-1.2
Mean268
Median Absolute Deviation (MAD)134
Skewness0
Sum143380
Variance23896.667
MonotonicityStrictly increasing
2024-03-23T07:09:25.568298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
353 1
 
0.2%
367 1
 
0.2%
366 1
 
0.2%
365 1
 
0.2%
364 1
 
0.2%
363 1
 
0.2%
362 1
 
0.2%
361 1
 
0.2%
360 1
 
0.2%
Other values (525) 525
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
535 1
0.2%
534 1
0.2%
533 1
0.2%
532 1
0.2%
531 1
0.2%
530 1
0.2%
529 1
0.2%
528 1
0.2%
527 1
0.2%
526 1
0.2%

어선번호
Text

UNIQUE 

Distinct535
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-03-23T07:09:26.079166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters8025
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

Unique535 ?
Unique (%)100.0%

Sample

1st row0002001-6267100
2nd row0002003-6267108
3rd row0002006-6267105
4th row0002007-6267104
5th row0003002-6267107
ValueCountFrequency (%)
0002001-6267100 1
 
0.2%
1609001-6267103 1
 
0.2%
1810001-6267106 1
 
0.2%
1809001-6267109 1
 
0.2%
1808001-6267101 1
 
0.2%
1806001-6267105 1
 
0.2%
1805003-6267105 1
 
0.2%
1805002-6267106 1
 
0.2%
1805001-6267107 1
 
0.2%
1804001-6267109 1
 
0.2%
Other values (525) 525
98.1%
2024-03-23T07:09:26.934515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2294
28.6%
6 1203
15.0%
1 1123
14.0%
2 830
 
10.3%
7 571
 
7.1%
- 535
 
6.7%
4 362
 
4.5%
9 322
 
4.0%
3 287
 
3.6%
8 251
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7490
93.3%
Dash Punctuation 535
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2294
30.6%
6 1203
16.1%
1 1123
15.0%
2 830
 
11.1%
7 571
 
7.6%
4 362
 
4.8%
9 322
 
4.3%
3 287
 
3.8%
8 251
 
3.4%
5 247
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 535
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8025
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2294
28.6%
6 1203
15.0%
1 1123
14.0%
2 830
 
10.3%
7 571
 
7.1%
- 535
 
6.7%
4 362
 
4.5%
9 322
 
4.0%
3 287
 
3.6%
8 251
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2294
28.6%
6 1203
15.0%
1 1123
14.0%
2 830
 
10.3%
7 571
 
7.1%
- 535
 
6.7%
4 362
 
4.5%
9 322
 
4.0%
3 287
 
3.6%
8 251
 
3.1%

어업방법
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
수하식양식업
161 
연안통발어업
146 
연안복합어업
94 
연안자망어업
57 
연안들망어업
20 
Other values (12)
57 

Length

Max length8
Median length6
Mean length5.8691589
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row근해채낚기어업
2nd row연안통발어업
3rd row수하식양식업
4th row수하식양식업
5th row연안통발어업

Common Values

ValueCountFrequency (%)
수하식양식업 161
30.1%
연안통발어업 146
27.3%
연안복합어업 94
17.6%
연안자망어업 57
 
10.7%
연안들망어업 20
 
3.7%
기타 11
 
2.1%
지도단속선 9
 
1.7%
근해채낚기어업 8
 
1.5%
각망어업 6
 
1.1%
마을어업 5
 
0.9%
Other values (7) 18
 
3.4%

Length

2024-03-23T07:09:27.490074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수하식양식업 161
30.1%
연안통발어업 146
27.3%
연안복합어업 94
17.6%
연안자망어업 57
 
10.7%
연안들망어업 20
 
3.7%
기타 11
 
2.1%
지도단속선 9
 
1.7%
근해채낚기어업 8
 
1.5%
각망어업 6
 
1.1%
마을어업 5
 
0.9%
Other values (7) 18
 
3.4%

어선명
Text

Distinct419
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
2024-03-23T07:09:28.170522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.482243
Min length3

Characters and Unicode

Total characters1863
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique349 ?
Unique (%)65.2%

Sample

1st row제103창양호
2nd row동성호
3rd row해명호
4th row해룡2호
5th row해영호
ValueCountFrequency (%)
해성호 9
 
1.7%
해양호 6
 
1.1%
금성호 5
 
0.9%
대성호 5
 
0.9%
해영호 5
 
0.9%
동해호 4
 
0.7%
해성2호 4
 
0.7%
진성호 4
 
0.7%
영진호 4
 
0.7%
우진호 4
 
0.7%
Other values (409) 486
90.7%
2024-03-23T07:09:29.614981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 536
28.8%
성 101
 
5.4%
2 77
 
4.1%
해 70
 
3.8%
영 58
 
3.1%
진 57
 
3.1%
동 56
 
3.0%
대 34
 
1.8%
1 34
 
1.8%
양 30
 
1.6%
Other values (178) 810
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1684
90.4%
Decimal Number 178
 
9.6%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 536
31.8%
성 101
 
6.0%
해 70
 
4.2%
영 58
 
3.4%
진 57
 
3.4%
동 56
 
3.3%
대 34
 
2.0%
양 30
 
1.8%
일 30
 
1.8%
제 29
 
1.7%
Other values (167) 683
40.6%
Decimal Number
ValueCountFrequency (%)
2 77
43.3%
1 34
19.1%
3 24
 
13.5%
0 14
 
7.9%
7 12
 
6.7%
5 7
 
3.9%
8 3
 
1.7%
6 3
 
1.7%
4 2
 
1.1%
9 2
 
1.1%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1684
90.4%
Common 179
 
9.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 536
31.8%
성 101
 
6.0%
해 70
 
4.2%
영 58
 
3.4%
진 57
 
3.4%
동 56
 
3.3%
대 34
 
2.0%
양 30
 
1.8%
일 30
 
1.8%
제 29
 
1.7%
Other values (167) 683
40.6%
Common
ValueCountFrequency (%)
2 77
43.0%
1 34
19.0%
3 24
 
13.4%
0 14
 
7.8%
7 12
 
6.7%
5 7
 
3.9%
8 3
 
1.7%
6 3
 
1.7%
4 2
 
1.1%
9 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1684
90.4%
ASCII 179
 
9.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 536
31.8%
성 101
 
6.0%
해 70
 
4.2%
영 58
 
3.4%
진 57
 
3.4%
동 56
 
3.3%
대 34
 
2.0%
양 30
 
1.8%
일 30
 
1.8%
제 29
 
1.7%
Other values (167) 683
40.6%
ASCII
ValueCountFrequency (%)
2 77
43.0%
1 34
19.0%
3 24
 
13.4%
0 14
 
7.8%
7 12
 
6.7%
5 7
 
3.9%
8 3
 
1.7%
6 3
 
1.7%
4 2
 
1.1%
9 2
 
1.1%

선적항
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
기장군 대변항
98 
기장군 이동항
59 
기장군 월내항
43 
기장군 두호항
41 
기장군 학리항
40 
Other values (19)
254 

Length

Max length10
Median length7
Mean length7.0280374
Min length3

Unique

Unique4 ?
Unique (%)0.7%

Sample

1st row기장군 대변항
2nd row기장군 월내항
3rd row기장군 월내항
4th row기장군 대변항
5th row기장군 월내항

Common Values

ValueCountFrequency (%)
기장군 대변항 98
18.3%
기장군 이동항 59
11.0%
기장군 월내항 43
 
8.0%
기장군 두호항 41
 
7.7%
기장군 학리항 40
 
7.5%
기장군 동백항 35
 
6.5%
기장군 공수항 33
 
6.2%
기장군 이천항 28
 
5.2%
기장군 임랑항 22
 
4.1%
기장군 동암항 20
 
3.7%
Other values (14) 116
21.7%

Length

2024-03-23T07:09:30.108249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기장군 532
49.8%
대변항 98
 
9.2%
이동항 59
 
5.5%
월내항 44
 
4.1%
두호항 41
 
3.8%
학리항 40
 
3.7%
동백항 35
 
3.3%
공수항 33
 
3.1%
이천항 28
 
2.6%
임랑항 22
 
2.1%
Other values (14) 137
 
12.8%

선체재질
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
FRP
520 
강
 
12
알류미늄합금
 
2
목
 
1

Length

Max length6
Median length3
Mean length2.9626168
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
FRP 520
97.2%
강 12
 
2.2%
알류미늄합금 2
 
0.4%
목 1
 
0.2%

Length

2024-03-23T07:09:30.753476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:09:31.235705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
frp 520
97.2%
강 12
 
2.2%
알류미늄합금 2
 
0.4%
목 1
 
0.2%

추진기관
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.3 KiB
가솔린선외기
379 
선박용디젤
125 
육상차량용디젤
 
24
무동력
 
5
디젤선내외기
 
1

Length

Max length7
Median length6
Mean length5.7831776
Min length3

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
가솔린선외기 379
70.8%
선박용디젤 125
 
23.4%
육상차량용디젤 24
 
4.5%
무동력 5
 
0.9%
디젤선내외기 1
 
0.2%
전기추진기관 1
 
0.2%

Length

2024-03-23T07:09:32.017804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T07:09:32.542362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가솔린선외기 379
70.8%
선박용디젤 125
 
23.4%
육상차량용디젤 24
 
4.5%
무동력 5
 
0.9%
디젤선내외기 1
 
0.2%
전기추진기관 1
 
0.2%

마력
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.40748
Minimum0
Maximum3971
Zeros5
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-03-23T07:09:33.312744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40
Q190
median200
Q3300
95-th percentile793
Maximum3971
Range3971
Interquartile range (IQR)210

Descriptive statistics

Standard deviation460.27411
Coefficient of variation (CV)1.5849252
Kurtosis38.231362
Mean290.40748
Median Absolute Deviation (MAD)100
Skewness5.7499815
Sum155368
Variance211852.26
MonotonicityNot monotonic
2024-03-23T07:09:34.049768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 65
 
12.1%
150 49
 
9.2%
200 48
 
9.0%
60 42
 
7.9%
300 41
 
7.7%
115 29
 
5.4%
90 28
 
5.2%
316 10
 
1.9%
225 10
 
1.9%
40 9
 
1.7%
Other values (88) 204
38.1%
ValueCountFrequency (%)
0 5
0.9%
7 1
 
0.2%
10 1
 
0.2%
18 1
 
0.2%
20 1
 
0.2%
25 1
 
0.2%
30 9
1.7%
40 9
1.7%
50 6
1.1%
55 6
1.1%
ValueCountFrequency (%)
3971 2
0.4%
3970 1
0.2%
3698 1
0.2%
3476 1
0.2%
2979 2
0.4%
2978 1
0.2%
2363 1
0.2%
2047 1
0.2%
1306 1
0.2%
1300 1
0.2%

어선총톤수(톤)
Real number (ℝ)

HIGH CORRELATION 

Distinct231
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.902093
Minimum0.44
Maximum2274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.8 KiB
2024-03-23T07:09:34.628981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.44
5-th percentile0.808
Q11.27
median1.88
Q32.905
95-th percentile12.839
Maximum2274
Range2273.56
Interquartile range (IQR)1.635

Descriptive statistics

Standard deviation222.60059
Coefficient of variation (CV)6.3778577
Kurtosis62.097743
Mean34.902093
Median Absolute Deviation (MAD)0.74
Skewness7.6885403
Sum18672.62
Variance49551.021
MonotonicityNot monotonic
2024-03-23T07:09:35.236426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.99 19
 
3.6%
9.77 17
 
3.2%
1.98 11
 
2.1%
1.9 9
 
1.7%
1.96 9
 
1.7%
1.35 8
 
1.5%
4.99 8
 
1.5%
1.18 7
 
1.3%
1.16 7
 
1.3%
1.46 7
 
1.3%
Other values (221) 433
80.9%
ValueCountFrequency (%)
0.44 1
0.2%
0.47 1
0.2%
0.5 2
0.4%
0.53 2
0.4%
0.57 2
0.4%
0.59 1
0.2%
0.6 1
0.2%
0.61 2
0.4%
0.62 1
0.2%
0.64 2
0.4%
ValueCountFrequency (%)
2274.0 1
0.2%
2112.0 1
0.2%
2097.0 1
0.2%
1679.0 1
0.2%
1659.0 1
0.2%
1458.0 1
0.2%
1000.0 2
0.4%
999.0 1
0.2%
970.0 1
0.2%
885.0 1
0.2%

Interactions

2024-03-23T07:09:22.157818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:20.144526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:21.163280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:22.453886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:20.467085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:21.545024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:23.080922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:20.818205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:09:21.864534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T07:09:35.531378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호어업방법선적항선체재질추진기관마력어선총톤수(톤)
번호1.0000.2570.3740.2040.2650.2250.086
어업방법0.2571.0000.7050.7470.5890.8450.774
선적항0.3740.7051.0000.8540.6120.8900.843
선체재질0.2040.7470.8541.0000.3110.8820.736
추진기관0.2650.5890.6120.3111.0000.6510.706
마력0.2250.8450.8900.8820.6511.0000.914
어선총톤수(톤)0.0860.7740.8430.7360.7060.9141.000
2024-03-23T07:09:35.899170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선체재질추진기관어업방법선적항
선체재질1.0000.2040.5180.566
추진기관0.2041.0000.3220.289
어업방법0.5180.3221.0000.283
선적항0.5660.2890.2831.000
2024-03-23T07:09:36.182786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호마력어선총톤수(톤)어업방법선적항선체재질추진기관
번호1.000-0.112-0.1480.1020.1440.1230.142
마력-0.1121.0000.9220.5580.5450.5680.434
어선총톤수(톤)-0.1480.9221.0000.5000.5080.5710.323
어업방법0.1020.5580.5001.0000.2830.5180.322
선적항0.1440.5450.5080.2831.0000.5660.289
선체재질0.1230.5680.5710.5180.5661.0000.204
추진기관0.1420.4340.3230.3220.2890.2041.000

Missing values

2024-03-23T07:09:23.668862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:09:24.323315image/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

번호어선번호어업방법어선명선적항선체재질추진기관마력어선총톤수(톤)
010002001-6267100근해채낚기어업제103창양호기장군 대변항FRP선박용디젤84929.0
120002003-6267108연안통발어업동성호기장군 월내항FRP선박용디젤101.47
230002006-6267105수하식양식업해명호기장군 월내항FRP가솔린선외기2501.92
340002007-6267104수하식양식업해룡2호기장군 대변항FRP가솔린선외기601.1
450003002-6267107연안통발어업해영호기장군 월내항FRP가솔린선외기1151.7
560003003-6267106연안복합어업만성호기장군 두호항FRP가솔린선외기1001.35
670003004-6267105연안자망어업해동호기장군 신평항FRP가솔린선외기2001.41
780005005-6267100연안복합어업207 덕양호기장군 대변항FRP선박용디젤3163.29
890006002-6267101연안자망어업제3금성호기장군 칠암항FRP선박용디젤4959.77
9100006002-6481905수하식양식업금양호기장군 동백항FRP가솔린선외기1150.98
번호어선번호어업방법어선명선적항선체재질추진기관마력어선총톤수(톤)
5255269907005-6267109수하식양식업종광호기장군 이동항FRP가솔린선외기600.84
5265279907007-6267107수하식양식업성용호기장군 월내항FRP가솔린선외기1501.85
5275289907008-6267106수하식양식업종운호기장군 대변항FRP가솔린선외기1501.07
5285299908008-6267104수하식양식업동일2호기장군 이동항FRP가솔린선외기601.18
5295309909002-6267108연안복합어업전식호기장군 대변항FRP가솔린선외기2501.65
5305319909005-6267105연안통발어업정양호기장군 학리항FRP가솔린선외기2501.83
5315329910003-6267104수하식양식업태양1호기장군 월내항FRP가솔린선외기901.33
5325339912002-6267101연안통발어업신진호기장군 월내항FRP가솔린선외기2001.9
5335349912003-6267100연안복합어업문중피싱호기장군 문중항FRP가솔린선외기2501.9
5345359912032-6461305연안통발어업영진호기장군 대변항FRP선박용디젤1802.96