Overview

Dataset statistics

Number of variables10
Number of observations64
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory87.1 B

Variable types

Categorical4
Numeric3
Text3

Dataset

Description여수시 관내 여객선 기점, 종점 및 중간기항지 등 기항지 기본정보입니다. 여객선 운임지원을 위해 사용되는 정보입니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15039994/fileData.do

Alerts

지자체 has constant value ""Constant
영문기항지이름 has constant value ""Constant
사용여부 has constant value ""Constant
부기항지아이디 is highly imbalanced (58.2%)Imbalance
기항지이름 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:08:17.234975
Analysis finished2023-12-12 12:08:19.066160
Duration1.83 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지자체
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
전라남도
64 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전라남도 64
100.0%

Length

2023-12-12T21:08:19.140960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:08:19.245163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전라남도 64
100.0%

주기항지아이디
Real number (ℝ)

Distinct53
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5570.8594
Minimum3123
Maximum9769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T21:08:19.366593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3123
5-th percentile3124.2
Q13334.5
median3559
Q39618.5
95-th percentile9742.85
Maximum9769
Range6646
Interquartile range (IQR)6284

Descriptive statistics

Standard deviation3007.6195
Coefficient of variation (CV)0.53988431
Kurtosis-1.5994751
Mean5570.8594
Median Absolute Deviation (MAD)386
Skewness0.65538549
Sum356535
Variance9045775.3
MonotonicityIncreasing
2023-12-12T21:08:19.513252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3123 4
 
6.2%
3559 4
 
6.2%
3599 3
 
4.7%
3173 2
 
3.1%
9661 2
 
3.1%
3166 2
 
3.1%
9768 1
 
1.6%
9653 1
 
1.6%
5011 1
 
1.6%
9769 1
 
1.6%
Other values (43) 43
67.2%
ValueCountFrequency (%)
3123 4
6.2%
3131 1
 
1.6%
3153 1
 
1.6%
3166 2
3.1%
3173 2
3.1%
3249 1
 
1.6%
3253 1
 
1.6%
3261 1
 
1.6%
3293 1
 
1.6%
3309 1
 
1.6%
ValueCountFrequency (%)
9769 1
1.6%
9768 1
1.6%
9744 1
1.6%
9743 1
1.6%
9742 1
1.6%
9741 1
1.6%
9740 1
1.6%
9739 1
1.6%
9697 1
1.6%
9696 1
1.6%

부기항지아이디
Categorical

IMBALANCE 

Distinct5
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
53 
1
 
5
2
 
3
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.6%

Sample

1st row0
2nd row1
3rd row2
4th row3
5th row0

Common Values

ValueCountFrequency (%)
0 53
82.8%
1 5
 
7.8%
2 3
 
4.7%
3 2
 
3.1%
5 1
 
1.6%

Length

2023-12-12T21:08:19.658453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:08:19.779093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 53
82.8%
1 5
 
7.8%
2 3
 
4.7%
3 2
 
3.1%
5 1
 
1.6%

기항지이름
Text

UNIQUE 

Distinct64
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:08:20.088336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.78125
Min length2

Characters and Unicode

Total characters242
Distinct characters89
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

Unique64 ?
Unique (%)100.0%

Sample

1st row개도
2nd row개도_여석
3rd row개도_모전
4th row개도_화산
5th row거문도
ValueCountFrequency (%)
개도 1
 
1.6%
개도_여석 1
 
1.6%
여수 1
 
1.6%
낭도_추도 1
 
1.6%
평도 1
 
1.6%
하화도 1
 
1.6%
화태도 1
 
1.6%
마하_화태도 1
 
1.6%
화태_화태도 1
 
1.6%
남성 1
 
1.6%
Other values (54) 54
84.4%
2023-12-12T21:08:20.539606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 49
20.2%
_ 26
 
10.7%
금 8
 
3.3%
여 8
 
3.3%
오 8
 
3.3%
화 7
 
2.9%
수 6
 
2.5%
산 5
 
2.1%
송 4
 
1.7%
초 4
 
1.7%
Other values (79) 117
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 215
88.8%
Connector Punctuation 26
 
10.7%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 49
22.8%
금 8
 
3.7%
여 8
 
3.7%
오 8
 
3.7%
화 7
 
3.3%
수 6
 
2.8%
산 5
 
2.3%
송 4
 
1.9%
초 4
 
1.9%
태 4
 
1.9%
Other values (77) 112
52.1%
Connector Punctuation
ValueCountFrequency (%)
_ 26
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 215
88.8%
Common 27
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 49
22.8%
금 8
 
3.7%
여 8
 
3.7%
오 8
 
3.7%
화 7
 
3.3%
수 6
 
2.8%
산 5
 
2.3%
송 4
 
1.9%
초 4
 
1.9%
태 4
 
1.9%
Other values (77) 112
52.1%
Common
ValueCountFrequency (%)
_ 26
96.3%
/ 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 215
88.8%
ASCII 27
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 49
22.8%
금 8
 
3.7%
여 8
 
3.7%
오 8
 
3.7%
화 7
 
3.3%
수 6
 
2.8%
산 5
 
2.3%
송 4
 
1.9%
초 4
 
1.9%
태 4
 
1.9%
Other values (77) 112
52.1%
ASCII
ValueCountFrequency (%)
_ 26
96.3%
/ 1
 
3.7%

영문기항지이름
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
0
64 

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 64
100.0%

Length

2023-12-12T21:08:20.699631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:08:20.839295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 64
100.0%

기항지명 줄임
Text

Distinct62
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:08:21.078114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.15625
Min length2

Characters and Unicode

Total characters202
Distinct characters87
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)93.8%

Sample

1st row개도
2nd row여석
3rd row모전
4th row화산
5th row거문도
ValueCountFrequency (%)
송도(여수시 2
 
3.1%
사도 2
 
3.1%
서고지 1
 
1.6%
마족 1
 
1.6%
개도 1
 
1.6%
여수 1
 
1.6%
평도 1
 
1.6%
하화도 1
 
1.6%
화태도 1
 
1.6%
마하 1
 
1.6%
Other values (52) 52
81.2%
2023-12-12T21:08:21.513448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 36
 
17.8%
여 8
 
4.0%
오 8
 
4.0%
금 8
 
4.0%
_ 7
 
3.5%
수 6
 
3.0%
화 5
 
2.5%
( 5
 
2.5%
) 5
 
2.5%
송 4
 
2.0%
Other values (77) 110
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
91.1%
Connector Punctuation 7
 
3.5%
Open Punctuation 5
 
2.5%
Close Punctuation 5
 
2.5%
Other Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 36
 
19.6%
여 8
 
4.3%
오 8
 
4.3%
금 8
 
4.3%
수 6
 
3.3%
화 5
 
2.7%
송 4
 
2.2%
포 4
 
2.2%
산 4
 
2.2%
동 4
 
2.2%
Other values (73) 97
52.7%
Connector Punctuation
ValueCountFrequency (%)
_ 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
91.1%
Common 18
 
8.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 36
 
19.6%
여 8
 
4.3%
오 8
 
4.3%
금 8
 
4.3%
수 6
 
3.3%
화 5
 
2.7%
송 4
 
2.2%
포 4
 
2.2%
산 4
 
2.2%
동 4
 
2.2%
Other values (73) 97
52.7%
Common
ValueCountFrequency (%)
_ 7
38.9%
( 5
27.8%
) 5
27.8%
/ 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
91.1%
ASCII 18
 
8.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 36
 
19.6%
여 8
 
4.3%
오 8
 
4.3%
금 8
 
4.3%
수 6
 
3.3%
화 5
 
2.7%
송 4
 
2.2%
포 4
 
2.2%
산 4
 
2.2%
동 4
 
2.2%
Other values (73) 97
52.7%
ASCII
ValueCountFrequency (%)
_ 7
38.9%
( 5
27.8%
) 5
27.8%
/ 1
 
5.6%

주소
Text

Distinct43
Distinct (%)67.2%
Missing0
Missing (%)0.0%
Memory size644.0 B
2023-12-12T21:08:21.717737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length13.546875
Min length8

Characters and Unicode

Total characters867
Distinct characters74
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

Unique30 ?
Unique (%)46.9%

Sample

1st row전남 여수시 화정면 개도리
2nd row전남 여수시 화정면 개도리
3rd row전남 여수시 화정면 개도리
4th row전남 여수시 화정면 개도리
5th row전남 여수시 삼산면 거문리
ValueCountFrequency (%)
여수시 63
25.6%
전남 53
21.5%
화정면 20
 
8.1%
남면 19
 
7.7%
삼산면 12
 
4.9%
전라남도 11
 
4.5%
돌산읍 5
 
2.0%
개도리 4
 
1.6%
낭도리 4
 
1.6%
손죽리 4
 
1.6%
Other values (35) 51
20.7%
2023-12-12T21:08:22.467929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
21.2%
남 84
9.7%
전 65
 
7.5%
여 64
 
7.4%
수 64
 
7.4%
시 63
 
7.3%
면 53
 
6.1%
리 51
 
5.9%
도 35
 
4.0%
화 28
 
3.2%
Other values (64) 176
20.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 675
77.9%
Space Separator 184
 
21.2%
Decimal Number 7
 
0.8%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 84
12.4%
전 65
9.6%
여 64
9.5%
수 64
9.5%
시 63
9.3%
면 53
 
7.9%
리 51
 
7.6%
도 35
 
5.2%
화 28
 
4.1%
정 22
 
3.3%
Other values (56) 146
21.6%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
2 1
14.3%
1 1
14.3%
7 1
14.3%
0 1
14.3%
3 1
14.3%
Space Separator
ValueCountFrequency (%)
184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 675
77.9%
Common 192
 
22.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 84
12.4%
전 65
9.6%
여 64
9.5%
수 64
9.5%
시 63
9.3%
면 53
 
7.9%
리 51
 
7.6%
도 35
 
5.2%
화 28
 
4.1%
정 22
 
3.3%
Other values (56) 146
21.6%
Common
ValueCountFrequency (%)
184
95.8%
6 2
 
1.0%
- 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
7 1
 
0.5%
0 1
 
0.5%
3 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 675
77.9%
ASCII 192
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
95.8%
6 2
 
1.0%
- 1
 
0.5%
2 1
 
0.5%
1 1
 
0.5%
7 1
 
0.5%
0 1
 
0.5%
3 1
 
0.5%
Hangul
ValueCountFrequency (%)
남 84
12.4%
전 65
9.6%
여 64
9.5%
수 64
9.5%
시 63
9.3%
면 53
 
7.9%
리 51
 
7.6%
도 35
 
5.2%
화 28
 
4.1%
정 22
 
3.3%
Other values (56) 146
21.6%

사용여부
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size644.0 B
사용
64 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사용 64
100.0%

Length

2023-12-12T21:08:22.645608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:08:22.757316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사용 64
100.0%

경도
Real number (ℝ)

Distinct61
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.512362
Minimum34.027576
Maximum34.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T21:08:22.899856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.027576
5-th percentile34.059999
Q134.470814
median34.580096
Q334.61321
95-th percentile34.745151
Maximum34.9
Range0.872424
Interquartile range (IQR)0.14239675

Descriptive statistics

Standard deviation0.19967748
Coefficient of variation (CV)0.0057856797
Kurtosis0.5152517
Mean34.512362
Median Absolute Deviation (MAD)0.0476345
Skewness-0.90403531
Sum2208.7912
Variance0.039871094
MonotonicityNot monotonic
2023-12-12T21:08:23.081205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.580096 2
 
3.1%
34.9 2
 
3.1%
34.13 2
 
3.1%
34.027576 1
 
1.6%
34.537743 1
 
1.6%
34.575723 1
 
1.6%
34.585613 1
 
1.6%
34.318247 1
 
1.6%
34.754137 1
 
1.6%
34.508703 1
 
1.6%
Other values (51) 51
79.7%
ValueCountFrequency (%)
34.027576 1
1.6%
34.045122 1
1.6%
34.045317 1
1.6%
34.047646 1
1.6%
34.13 2
3.1%
34.223484 1
1.6%
34.241732 1
1.6%
34.245909 1
1.6%
34.262795 1
1.6%
34.284028 1
1.6%
ValueCountFrequency (%)
34.9 2
3.1%
34.754137 1
1.6%
34.745819 1
1.6%
34.741366 1
1.6%
34.738932 1
1.6%
34.738467 1
1.6%
34.729708 1
1.6%
34.638804 1
1.6%
34.627788 1
1.6%
34.627673 1
1.6%

위도
Real number (ℝ)

Distinct61
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.58632
Minimum126.60278
Maximum127.80331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size708.0 B
2023-12-12T21:08:23.237107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.60278
5-th percentile127.24565
Q1127.50162
median127.66288
Q3127.73716
95-th percentile127.79465
Maximum127.80331
Range1.200538
Interquartile range (IQR)0.235533

Descriptive statistics

Standard deviation0.21589473
Coefficient of variation (CV)0.0016921463
Kurtosis5.621658
Mean127.58632
Median Absolute Deviation (MAD)0.097546
Skewness-1.9432918
Sum8165.5245
Variance0.046610533
MonotonicityNot monotonic
2023-12-12T21:08:23.439005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.670687 2
 
3.1%
127.44 2
 
3.1%
127.15 2
 
3.1%
127.308829 1
 
1.6%
127.709627 1
 
1.6%
127.643394 1
 
1.6%
127.737842 1
 
1.6%
126.602776 1
 
1.6%
127.75295 1
 
1.6%
127.770621 1
 
1.6%
Other values (51) 51
79.7%
ValueCountFrequency (%)
126.602776 1
1.6%
127.15 2
3.1%
127.244189 1
1.6%
127.253946 1
1.6%
127.294847 1
1.6%
127.29532 1
1.6%
127.308829 1
1.6%
127.311624 1
1.6%
127.361101 1
1.6%
127.37 1
1.6%
ValueCountFrequency (%)
127.803314 1
1.6%
127.803098 1
1.6%
127.796361 1
1.6%
127.794892 1
1.6%
127.793299 1
1.6%
127.770621 1
1.6%
127.76611 1
1.6%
127.762047 1
1.6%
127.757115 1
1.6%
127.75295 1
1.6%

Interactions

2023-12-12T21:08:18.466215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:17.773498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:18.135022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:18.581831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:17.872024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:18.263894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:18.704690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:17.988476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:08:18.368820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:08:23.575645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주기항지아이디부기항지아이디기항지이름기항지명 줄임주소경도위도
주기항지아이디1.0000.0001.0000.9410.9950.3470.355
부기항지아이디0.0001.0001.0001.0000.0000.4430.359
기항지이름1.0001.0001.0001.0001.0001.0001.000
기항지명 줄임0.9411.0001.0001.0000.9950.9920.954
주소0.9950.0001.0000.9951.0000.9870.980
경도0.3470.4431.0000.9920.9871.0000.847
위도0.3550.3591.0000.9540.9800.8471.000
2023-12-12T21:08:23.747547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주기항지아이디경도위도부기항지아이디
주기항지아이디1.0000.1980.3340.030
경도0.1981.0000.2560.184
위도0.3340.2561.0000.232
부기항지아이디0.0300.1840.2321.000

Missing values

2023-12-12T21:08:18.848587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:08:18.997931image/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

지자체주기항지아이디부기항지아이디기항지이름영문기항지이름기항지명 줄임주소사용여부경도위도
0전라남도31230개도0개도전남 여수시 화정면 개도리사용34.580096127.670687
1전라남도31231개도_여석0여석전남 여수시 화정면 개도리사용34.581103127.650088
2전라남도31232개도_모전0모전전남 여수시 화정면 개도리사용34.575723127.643394
3전라남도31233개도_화산0화산전남 여수시 화정면 개도리사용34.580096127.670687
4전라남도31310거문도0거문도전남 여수시 삼산면 거문리사용34.027576127.308829
5전라남도31530광도0광도전남 여수시 삼산면 손죽리사용34.262795127.53003
6전라남도31660금오도0금오도전남 여수시 남면사용34.3127.46
7전라남도31661금오도_직포0금오도_직포전남 여수시 남면 두모리사용34.507547127.739325
8전라남도31730낭도0낭도전남 여수시 화정면 낭도리사용34.605533127.538539
9전라남도31731낭도_규포0규포전남 여수시 화정면 낭도리사용34.615551127.550421
지자체주기항지아이디부기항지아이디기항지이름영문기항지이름기항지명 줄임주소사용여부경도위도
54전라남도96960두라도0두라전남 여수시 화정면사용34.620036127.641177
55전라남도96970나발도0나발전남 여수시 화정면사용34.572274127.737859
56전라남도97390월전0월전전라남도 여수시 남면 화태리사용34.585312127.737865
57전라남도97400대두라도0대두라전남 여수시 화정면 두라리사용34.565383127.735395
58전라남도97410독정0독정전라남도 여수시 남면 화태리사용34.58139127.730076
59전라남도97420횡간0횡간전남 여수시 남면 횡간리사용34.579022127.757115
60전라남도97430마족0마족전라남도 여수시 남면 화태리사용34.585666127.737608
61전라남도97440돌산_군내0돌산_군내전라남도 여수시 돌산읍 군내리사용34.613184127.721
62전라남도97680돌산_우두리0돌산대교전남 여수시 돌산읍 우두리사용34.729708127.737006
63전라남도97690사도0사도전남 여수시 화정면 낭도리사용34.592677127.555286