Overview

Dataset statistics

Number of variables9
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory83.3 B

Variable types

Categorical1
Text2
Numeric5
DateTime1

Dataset

Description통영시 관내 여객선현황에 대하여 선박회사명,항로,선명,톤수,정원(명),속력(노트),소요시간,운항거리(마일), 데이터기준일자 정보를 제공합니다.
Author경상남도 통영시
URLhttps://www.data.go.kr/data/15036854/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
톤수 is highly overall correlated with 정원(명)High correlation
정원(명) is highly overall correlated with 톤수High correlation
소요시간(분) is highly overall correlated with 운항거리(마일)High correlation
운항거리(마일) is highly overall correlated with 소요시간(분) and 1 other fieldsHigh correlation
선박회사명 is highly overall correlated with 운항거리(마일)High correlation

Reproduction

Analysis started2024-04-06 08:34:36.192687
Analysis finished2024-04-06 08:34:42.665925
Duration6.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

선박회사명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
㈜한솔해운
6 
㈜대일해운
3 
한산농협
3 
매물도해운㈜
2 
영동해운㈜
2 
Other values (3)
5 

Length

Max length6
Median length5
Mean length4.8571429
Min length4

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row매물도해운㈜
2nd row매물도해운㈜
3rd row㈜한솔해운
4th row㈜한솔해운
5th row㈜한솔해운

Common Values

ValueCountFrequency (%)
㈜한솔해운 6
28.6%
㈜대일해운 3
14.3%
한산농협 3
14.3%
매물도해운㈜ 2
 
9.5%
영동해운㈜ 2
 
9.5%
사랑수협 2
 
9.5%
욕지해운㈜ 2
 
9.5%
원주식회사 1
 
4.8%

Length

2024-04-06T17:34:42.845570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:34:43.209404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
㈜한솔해운 6
28.6%
㈜대일해운 3
14.3%
한산농협 3
14.3%
매물도해운㈜ 2
 
9.5%
영동해운㈜ 2
 
9.5%
사랑수협 2
 
9.5%
욕지해운㈜ 2
 
9.5%
원주식회사 1
 
4.8%

항로
Text

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T17:34:43.541893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length6
Min length5

Characters and Unicode

Total characters126
Distinct characters32
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

Unique5 ?
Unique (%)23.8%

Sample

1st row거제저구-소매물도
2nd row거제저구-소매물도
3rd row통영-소매물도
4th row통영-소매물도
5th row통영-소매물도
ValueCountFrequency (%)
통영-소매물도 3
14.3%
통영-욕지 3
14.3%
거제저구-소매물도 2
9.5%
삼덕-욕지 2
9.5%
가오치-사량도 2
9.5%
통영-한산도 2
9.5%
중화-욕지 2
9.5%
통영-두미 1
 
4.8%
통영-삼천포 1
 
4.8%
통영-추도 1
 
4.8%
Other values (2) 2
9.5%
2024-04-06T17:34:44.222354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 21
16.7%
통 13
 
10.3%
영 13
 
10.3%
도 11
 
8.7%
욕 7
 
5.6%
지 7
 
5.6%
소 5
 
4.0%
매 5
 
4.0%
물 5
 
4.0%
삼 3
 
2.4%
Other values (22) 36
28.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
83.3%
Dash Punctuation 21
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
통 13
 
12.4%
영 13
 
12.4%
도 11
 
10.5%
욕 7
 
6.7%
지 7
 
6.7%
소 5
 
4.8%
매 5
 
4.8%
물 5
 
4.8%
삼 3
 
2.9%
치 2
 
1.9%
Other values (21) 34
32.4%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
83.3%
Common 21
 
16.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
통 13
 
12.4%
영 13
 
12.4%
도 11
 
10.5%
욕 7
 
6.7%
지 7
 
6.7%
소 5
 
4.8%
매 5
 
4.8%
물 5
 
4.8%
삼 3
 
2.9%
치 2
 
1.9%
Other values (21) 34
32.4%
Common
ValueCountFrequency (%)
- 21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
83.3%
ASCII 21
 
16.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 21
100.0%
Hangul
ValueCountFrequency (%)
통 13
 
12.4%
영 13
 
12.4%
도 11
 
10.5%
욕 7
 
6.7%
지 7
 
6.7%
소 5
 
4.8%
매 5
 
4.8%
물 5
 
4.8%
삼 3
 
2.9%
치 2
 
1.9%
Other values (21) 34
32.4%

선명
Text

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size300.0 B
2024-04-06T17:34:44.552716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.952381
Min length3

Characters and Unicode

Total characters104
Distinct characters47
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

Unique19 ?
Unique (%)90.5%

Sample

1st row매물도구경1
2nd row매물도구경2
3rd row한솔1호
4th row한솔2호
5th row한솔3호
ValueCountFrequency (%)
바다누리 2
 
9.1%
사 1
 
4.5%
욕지영동골드고속 1
 
4.5%
욕지카훼리 1
 
4.5%
한산농협카페리2 1
 
4.5%
파라다이스 1
 
4.5%
한산농협카페리 1
 
4.5%
아평호 1
 
4.5%
그랜드페리호 1
 
4.5%
량 1
 
4.5%
Other values (11) 11
50.0%
2024-04-06T17:34:45.218586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 7
 
6.7%
한 6
 
5.8%
호 6
 
5.8%
드 4
 
3.8%
욕 4
 
3.8%
페 4
 
3.8%
카 4
 
3.8%
지 4
 
3.8%
다 4
 
3.8%
솔 3
 
2.9%
Other values (37) 58
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97
93.3%
Decimal Number 6
 
5.8%
Space Separator 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 7
 
7.2%
한 6
 
6.2%
호 6
 
6.2%
드 4
 
4.1%
욕 4
 
4.1%
페 4
 
4.1%
카 4
 
4.1%
지 4
 
4.1%
다 4
 
4.1%
솔 3
 
3.1%
Other values (33) 51
52.6%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
1 2
33.3%
3 1
 
16.7%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97
93.3%
Common 7
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 7
 
7.2%
한 6
 
6.2%
호 6
 
6.2%
드 4
 
4.1%
욕 4
 
4.1%
페 4
 
4.1%
카 4
 
4.1%
지 4
 
4.1%
다 4
 
4.1%
솔 3
 
3.1%
Other values (33) 51
52.6%
Common
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
1
 
14.3%
3 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97
93.3%
ASCII 7
 
6.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 7
 
7.2%
한 6
 
6.2%
호 6
 
6.2%
드 4
 
4.1%
욕 4
 
4.1%
페 4
 
4.1%
카 4
 
4.1%
지 4
 
4.1%
다 4
 
4.1%
솔 3
 
3.1%
Other values (33) 51
52.6%
ASCII
ValueCountFrequency (%)
2 3
42.9%
1 2
28.6%
1
 
14.3%
3 1
 
14.3%

톤수
Real number (ℝ)

HIGH CORRELATION 

Distinct20
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.57143
Minimum92
Maximum692
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:34:45.451304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92
5-th percentile109
Q1149
median290
Q3382
95-th percentile549
Maximum692
Range600
Interquartile range (IQR)233

Descriptive statistics

Standard deviation164.44165
Coefficient of variation (CV)0.55076152
Kurtosis-0.10320369
Mean298.57143
Median Absolute Deviation (MAD)132
Skewness0.64965245
Sum6270
Variance27041.057
MonotonicityNot monotonic
2024-04-06T17:34:45.699946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
195 2
 
9.5%
122 1
 
4.8%
549 1
 
4.8%
381 1
 
4.8%
382 1
 
4.8%
266 1
 
4.8%
290 1
 
4.8%
376 1
 
4.8%
149 1
 
4.8%
498 1
 
4.8%
Other values (10) 10
47.6%
ValueCountFrequency (%)
92 1
4.8%
109 1
4.8%
122 1
4.8%
124 1
4.8%
128 1
4.8%
149 1
4.8%
190 1
4.8%
195 2
9.5%
266 1
4.8%
290 1
4.8%
ValueCountFrequency (%)
692 1
4.8%
549 1
4.8%
498 1
4.8%
426 1
4.8%
422 1
4.8%
382 1
4.8%
381 1
4.8%
377 1
4.8%
376 1
4.8%
307 1
4.8%

정원(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.90476
Minimum63
Maximum698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:34:45.924751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile124
Q1230
median275
Q3420
95-th percentile559
Maximum698
Range635
Interquartile range (IQR)190

Descriptive statistics

Standard deviation155.63897
Coefficient of variation (CV)0.48349386
Kurtosis0.3554964
Mean321.90476
Median Absolute Deviation (MAD)81
Skewness0.62812696
Sum6760
Variance24223.49
MonotonicityNot monotonic
2024-04-06T17:34:46.309467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
275 2
 
9.5%
124 2
 
9.5%
420 1
 
4.8%
350 1
 
4.8%
338 1
 
4.8%
194 1
 
4.8%
274 1
 
4.8%
250 1
 
4.8%
220 1
 
4.8%
520 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
63 1
4.8%
124 2
9.5%
194 1
4.8%
220 1
4.8%
230 1
4.8%
250 1
4.8%
268 1
4.8%
274 1
4.8%
275 2
9.5%
285 1
4.8%
ValueCountFrequency (%)
698 1
4.8%
559 1
4.8%
520 1
4.8%
466 1
4.8%
450 1
4.8%
420 1
4.8%
377 1
4.8%
350 1
4.8%
338 1
4.8%
285 1
4.8%

속력(노트)
Real number (ℝ)

Distinct9
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.628571
Minimum12
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:34:46.536692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q113
median13.5
Q314.5
95-th percentile15
Maximum16
Range4
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation1.145488
Coefficient of variation (CV)0.084050485
Kurtosis-0.6224204
Mean13.628571
Median Absolute Deviation (MAD)1
Skewness0.12155783
Sum286.2
Variance1.3121429
MonotonicityNot monotonic
2024-04-06T17:34:46.828858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
12.0 4
19.0%
14.0 4
19.0%
13.5 3
14.3%
15.0 3
14.3%
13.0 2
9.5%
14.5 2
9.5%
13.2 1
 
4.8%
12.5 1
 
4.8%
16.0 1
 
4.8%
ValueCountFrequency (%)
12.0 4
19.0%
12.5 1
 
4.8%
13.0 2
9.5%
13.2 1
 
4.8%
13.5 3
14.3%
14.0 4
19.0%
14.5 2
9.5%
15.0 3
14.3%
16.0 1
 
4.8%
ValueCountFrequency (%)
16.0 1
 
4.8%
15.0 3
14.3%
14.5 2
9.5%
14.0 4
19.0%
13.5 3
14.3%
13.2 1
 
4.8%
13.0 2
9.5%
12.5 1
 
4.8%
12.0 4
19.0%

소요시간(분)
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)52.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94.285714
Minimum30
Maximum210
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:34:47.076273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile30
Q145
median90
Q3110
95-th percentile175
Maximum210
Range180
Interquartile range (IQR)65

Descriptive statistics

Standard deviation52.112516
Coefficient of variation (CV)0.5527085
Kurtosis-0.2519467
Mean94.285714
Median Absolute Deviation (MAD)40
Skewness0.6858055
Sum1980
Variance2715.7143
MonotonicityNot monotonic
2024-04-06T17:34:47.769866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
110 4
19.0%
90 3
14.3%
40 2
9.5%
45 2
9.5%
100 2
9.5%
170 2
9.5%
30 2
9.5%
210 1
 
4.8%
175 1
 
4.8%
50 1
 
4.8%
ValueCountFrequency (%)
30 2
9.5%
40 2
9.5%
45 2
9.5%
50 1
 
4.8%
65 1
 
4.8%
90 3
14.3%
100 2
9.5%
110 4
19.0%
170 2
9.5%
175 1
 
4.8%
ValueCountFrequency (%)
210 1
 
4.8%
175 1
 
4.8%
170 2
9.5%
110 4
19.0%
100 2
9.5%
90 3
14.3%
65 1
 
4.8%
50 1
 
4.8%
45 2
9.5%
40 2
9.5%

운항거리(마일)
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)61.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.138095
Minimum4.6
Maximum48.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2024-04-06T17:34:48.015412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6
5-th percentile5
Q18.5
median15.2
Q322
95-th percentile45.55
Maximum48.85
Range44.25
Interquartile range (IQR)13.5

Descriptive statistics

Standard deviation11.958082
Coefficient of variation (CV)0.69774861
Kurtosis2.3645983
Mean17.138095
Median Absolute Deviation (MAD)6.7
Skewness1.5887243
Sum359.9
Variance142.99573
MonotonicityNot monotonic
2024-04-06T17:34:48.406259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8.5 3
14.3%
22.0 3
14.3%
17.5 3
14.3%
11.8 2
9.5%
7.0 2
9.5%
48.85 1
 
4.8%
45.55 1
 
4.8%
15.2 1
 
4.8%
30.0 1
 
4.8%
4.6 1
 
4.8%
Other values (3) 3
14.3%
ValueCountFrequency (%)
4.6 1
 
4.8%
5.0 1
 
4.8%
7.0 2
9.5%
8.5 3
14.3%
11.8 2
9.5%
13.5 1
 
4.8%
15.2 1
 
4.8%
15.6 1
 
4.8%
17.5 3
14.3%
22.0 3
14.3%
ValueCountFrequency (%)
48.85 1
 
4.8%
45.55 1
 
4.8%
30.0 1
 
4.8%
22.0 3
14.3%
17.5 3
14.3%
15.6 1
 
4.8%
15.2 1
 
4.8%
13.5 1
 
4.8%
11.8 2
9.5%
8.5 3
14.3%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size300.0 B
Minimum2024-04-02 00:00:00
Maximum2024-04-02 00:00:00
2024-04-06T17:34:48.697424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:48.896170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:34:41.317211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:37.040523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:38.186710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:39.469734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:40.444812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:41.467846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:37.242615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:38.464057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:39.723462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:40.614054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:41.604189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:37.462986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:38.722175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:39.909974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:40.788000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:41.799421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:37.738515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:38.985399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:40.110874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:40.989377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:41.961337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:37.932965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:39.212781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:40.289953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:34:41.156626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:34:49.054025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
선박회사명항로선명톤수정원(명)속력(노트)소요시간(분)운항거리(마일)
선박회사명1.0001.0001.0000.6650.8500.6670.7000.862
항로1.0001.0000.5350.6210.6190.6970.9551.000
선명1.0000.5351.0001.0001.0001.0000.0001.000
톤수0.6650.6211.0001.0000.8250.4510.3550.480
정원(명)0.8500.6191.0000.8251.0000.3060.2530.435
속력(노트)0.6670.6971.0000.4510.3061.0000.5050.637
소요시간(분)0.7000.9550.0000.3550.2530.5051.0000.789
운항거리(마일)0.8621.0001.0000.4800.4350.6370.7891.000
2024-04-06T17:34:49.306349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
톤수정원(명)속력(노트)소요시간(분)운항거리(마일)선박회사명
톤수1.0000.7900.372-0.310-0.3110.355
정원(명)0.7901.0000.371-0.482-0.3790.420
속력(노트)0.3720.3711.000-0.1420.1140.325
소요시간(분)-0.310-0.482-0.1421.0000.7980.433
운항거리(마일)-0.311-0.3790.1140.7981.0000.650
선박회사명0.3550.4200.3250.4330.6501.000

Missing values

2024-04-06T17:34:42.195826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:34:42.496322image/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

선박회사명항로선명톤수정원(명)속력(노트)소요시간(분)운항거리(마일)데이터기준일자
0매물도해운㈜거제저구-소매물도매물도구경112227513.5408.52024-04-02
1매물도해운㈜거제저구-소매물도매물도구경212427513.5408.52024-04-02
2㈜한솔해운통영-소매물도한솔1호12826812.011022.02024-04-02
3㈜한솔해운통영-소매물도한솔2호10923013.011022.02024-04-02
4㈜한솔해운통영-소매물도한솔3호19028514.011022.02024-04-02
5㈜한솔해운통영-두미바다누리19512414.521048.852024-04-02
6㈜한솔해운통영-삼천포바다누리19512414.517545.552024-04-02
7㈜한솔해운통영-추도한려카페리926313.211015.22024-04-02
8㈜대일해운통영-욕지가자바다로42645013.59017.52024-04-02
9㈜대일해운통영-욕지아일랜드30737715.09017.52024-04-02
선박회사명항로선명톤수정원(명)속력(노트)소요시간(분)운항거리(마일)데이터기준일자
11영동해운㈜삼덕-욕지욕지영동고속42246615.04511.82024-04-02
12영동해운㈜삼덕-욕지욕지영동골드고속54955915.05011.82024-04-02
13사랑수협가오치-사량도사 량37742014.01007.02024-04-02
14사랑수협가오치-사량도그랜드페리호49852012.01007.02024-04-02
15원주식회사통영-국도아평호14922012.017030.02024-04-02
16한산농협통영-한산도한산농협카페리37625012.5304.62024-04-02
17한산농협통영-한산도파라다이스29027413.0305.02024-04-02
18한산농협통영-용초한산농협카페리226619412.017015.62024-04-02
19욕지해운㈜중화-욕지욕지카훼리38233816.06513.52024-04-02
20욕지해운㈜중화-욕지대성골드38135014.0458.52024-04-02