Overview

Dataset statistics

Number of variables10
Number of observations29
Missing cells10
Missing cells (%)3.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory88.6 B

Variable types

Numeric4
Text2
Categorical2
Boolean2

Dataset

Description태흥2리옥돔마을포구길의 위치와 관련된 정보로 위도, 경도, 구분, 설명, 포인트, 추천 코스 등의 정보를 제공합니다.
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/1093

Alerts

전체코스여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순서 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 순서 and 3 other fieldsHigh correlation
포인트 is highly overall correlated with 순서 and 3 other fieldsHigh correlation
상세정보 is highly overall correlated with 순서 and 2 other fieldsHigh correlation
추천코스여부 is highly overall correlated with 순서 and 2 other fieldsHigh correlation
설명 has 10 (34.5%) missing valuesMissing
순서 has unique valuesUnique
경도 has unique valuesUnique
포인트 has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:45:12.448033
Analysis finished2023-12-11 19:45:15.599976
Duration3.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T04:45:15.686686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-12T04:45:15.876261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

위도
Real number (ℝ)

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.285815
Minimum33.284268
Maximum33.287847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T04:45:16.045338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.284268
5-th percentile33.28442
Q133.284916
median33.285768
Q333.286422
95-th percentile33.287524
Maximum33.287847
Range0.00357898
Interquartile range (IQR)0.00150598

Descriptive statistics

Standard deviation0.001041393
Coefficient of variation (CV)3.128639 × 10-5
Kurtosis-0.9177328
Mean33.285815
Median Absolute Deviation (MAD)0.00085202
Skewness0.291785
Sum965.28864
Variance1.0844993 × 10-6
MonotonicityNot monotonic
2023-12-12T04:45:16.244682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
33.28461201 2
 
6.9%
33.28759798 1
 
3.4%
33.28488903 1
 
3.4%
33.28697403 1
 
3.4%
33.28611899 1
 
3.4%
33.28612301 1
 
3.4%
33.285847 1
 
3.4%
33.28581297 1
 
3.4%
33.28566796 1
 
3.4%
33.28551902 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
33.28426802 1
3.4%
33.28440104 1
3.4%
33.28444898 1
3.4%
33.28456004 1
3.4%
33.28461201 2
6.9%
33.28488903 1
3.4%
33.28491602 1
3.4%
33.28504301 1
3.4%
33.28508198 1
3.4%
33.28539899 1
3.4%
ValueCountFrequency (%)
33.287847 1
3.4%
33.28759798 1
3.4%
33.287414 1
3.4%
33.28727997 1
3.4%
33.28697403 1
3.4%
33.28688904 1
3.4%
33.28680798 1
3.4%
33.286422 1
3.4%
33.28639702 1
3.4%
33.28620801 1
3.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.75084
Minimum126.74928
Maximum126.7528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T04:45:16.456845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.74928
5-th percentile126.74936
Q1126.75001
median126.75055
Q3126.7516
95-th percentile126.75261
Maximum126.7528
Range0.003513
Interquartile range (IQR)0.001592

Descriptive statistics

Standard deviation0.0011051517
Coefficient of variation (CV)8.7190876 × 10-6
Kurtosis-1.1770428
Mean126.75084
Median Absolute Deviation (MAD)0.000812
Skewness0.36909741
Sum3675.7744
Variance1.2213602 × 10-6
MonotonicityNot monotonic
2023-12-12T04:45:16.636423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126.7513 1
 
3.4%
126.75134 1
 
3.4%
126.749357 1
 
3.4%
126.749284 1
 
3.4%
126.749377 1
 
3.4%
126.749742 1
 
3.4%
126.749739 1
 
3.4%
126.750008 1
 
3.4%
126.750043 1
 
3.4%
126.750174 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
126.749284 1
3.4%
126.749357 1
3.4%
126.749377 1
3.4%
126.749702 1
3.4%
126.749739 1
3.4%
126.749742 1
3.4%
126.749835 1
3.4%
126.750008 1
3.4%
126.750024 1
3.4%
126.750043 1
3.4%
ValueCountFrequency (%)
126.752797 1
3.4%
126.752719 1
3.4%
126.752445 1
3.4%
126.752433 1
3.4%
126.752344 1
3.4%
126.752096 1
3.4%
126.752063 1
3.4%
126.7516 1
3.4%
126.751435 1
3.4%
126.751429 1
3.4%

구분
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T04:45:16.944899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.551724
Min length3

Characters and Unicode

Total characters306
Distinct characters95
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

Unique21 ?
Unique (%)72.4%

Sample

1st row태흥2리 포구 주차장
2nd row동 방파제 등대로 가는 진입로 시작
3rd row오르막 경사로 시작
4th row오르막 경사로 끝
5th row오르막 경사로 시작
ValueCountFrequency (%)
오르막 10
 
11.4%
경사로 8
 
9.1%
시작 7
 
8.0%
끝 6
 
6.8%
방파제 5
 
5.7%
태흥2리 5
 
5.7%
진입로 4
 
4.5%
서 3
 
3.4%
체육공원 2
 
2.3%
잔디길 2
 
2.3%
Other values (34) 36
40.9%
2023-12-12T04:45:17.414083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
19.3%
로 14
 
4.6%
오 10
 
3.3%
막 10
 
3.3%
르 10
 
3.3%
경 8
 
2.6%
사 8
 
2.6%
장 7
 
2.3%
시 7
 
2.3%
작 7
 
2.3%
Other values (85) 166
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
78.4%
Space Separator 59
 
19.3%
Decimal Number 5
 
1.6%
Other Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 14
 
5.8%
오 10
 
4.2%
막 10
 
4.2%
르 10
 
4.2%
경 8
 
3.3%
사 8
 
3.3%
장 7
 
2.9%
시 7
 
2.9%
작 7
 
2.9%
리 6
 
2.5%
Other values (81) 153
63.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Decimal Number
ValueCountFrequency (%)
2 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
78.4%
Common 66
 
21.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 14
 
5.8%
오 10
 
4.2%
막 10
 
4.2%
르 10
 
4.2%
경 8
 
3.3%
사 8
 
3.3%
장 7
 
2.9%
시 7
 
2.9%
작 7
 
2.9%
리 6
 
2.5%
Other values (81) 153
63.7%
Common
ValueCountFrequency (%)
59
89.4%
2 5
 
7.6%
. 1
 
1.5%
/ 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
78.4%
ASCII 66
 
21.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
89.4%
2 5
 
7.6%
. 1
 
1.5%
/ 1
 
1.5%
Hangul
ValueCountFrequency (%)
로 14
 
5.8%
오 10
 
4.2%
막 10
 
4.2%
르 10
 
4.2%
경 8
 
3.3%
사 8
 
3.3%
장 7
 
2.9%
시 7
 
2.9%
작 7
 
2.9%
리 6
 
2.5%
Other values (81) 153
63.7%

설명
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing10
Missing (%)34.5%
Memory size364.0 B
2023-12-12T04:45:17.792971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length27
Mean length20.473684
Min length3

Characters and Unicode

Total characters389
Distinct characters113
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)89.5%

Sample

1st row턱 7cm. 동행인 도움 필요
2nd row거리 4.7m. 각도 5도. 방파제 담 높이 80cm
3rd row거리 8m. 각도 10도
4th row거리 5m. 각도 11~13도
5th row주차장 쪽으로 돌아가서 반대편 방파제로 이동
ValueCountFrequency (%)
거리 5
 
4.8%
각도 5
 
4.8%
턱 4
 
3.8%
코로나로 3
 
2.9%
인해 3
 
2.9%
필요 3
 
2.9%
주차장 2
 
1.9%
사진 2
 
1.9%
10도 2
 
1.9%
참조 2
 
1.9%
Other values (69) 74
70.5%
2023-12-12T04:45:18.433875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
22.1%
. 14
 
3.6%
로 12
 
3.1%
도 12
 
3.1%
m 11
 
2.8%
이 10
 
2.6%
1 8
 
2.1%
입 7
 
1.8%
진 7
 
1.8%
c 6
 
1.5%
Other values (103) 216
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
62.5%
Space Separator 86
 
22.1%
Decimal Number 28
 
7.2%
Lowercase Letter 17
 
4.4%
Other Punctuation 14
 
3.6%
Math Symbol 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 12
 
4.9%
도 12
 
4.9%
이 10
 
4.1%
입 7
 
2.9%
진 7
 
2.9%
거 6
 
2.5%
가 6
 
2.5%
나 6
 
2.5%
턱 6
 
2.5%
리 5
 
2.1%
Other values (90) 166
68.3%
Decimal Number
ValueCountFrequency (%)
1 8
28.6%
0 4
14.3%
3 3
 
10.7%
8 3
 
10.7%
4 3
 
10.7%
2 3
 
10.7%
7 2
 
7.1%
5 2
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
m 11
64.7%
c 6
35.3%
Space Separator
ValueCountFrequency (%)
86
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
62.5%
Common 129
33.2%
Latin 17
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 12
 
4.9%
도 12
 
4.9%
이 10
 
4.1%
입 7
 
2.9%
진 7
 
2.9%
거 6
 
2.5%
가 6
 
2.5%
나 6
 
2.5%
턱 6
 
2.5%
리 5
 
2.1%
Other values (90) 166
68.3%
Common
ValueCountFrequency (%)
86
66.7%
. 14
 
10.9%
1 8
 
6.2%
0 4
 
3.1%
3 3
 
2.3%
8 3
 
2.3%
4 3
 
2.3%
2 3
 
2.3%
7 2
 
1.6%
5 2
 
1.6%
Latin
ValueCountFrequency (%)
m 11
64.7%
c 6
35.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
62.5%
ASCII 146
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
58.9%
. 14
 
9.6%
m 11
 
7.5%
1 8
 
5.5%
c 6
 
4.1%
0 4
 
2.7%
3 3
 
2.1%
8 3
 
2.1%
4 3
 
2.1%
2 3
 
2.1%
Other values (3) 5
 
3.4%
Hangul
ValueCountFrequency (%)
로 12
 
4.9%
도 12
 
4.9%
이 10
 
4.1%
입 7
 
2.9%
진 7
 
2.9%
거 6
 
2.5%
가 6
 
2.5%
나 6
 
2.5%
턱 6
 
2.5%
리 5
 
2.1%
Other values (90) 166
68.3%

포인트
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T04:45:19.071412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-12T04:45:19.274404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

상세정보
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
접근성정보(*계단. 길 상태. 경사) 있음
17 
<NA>
11 
장애인화장실
 
1

Length

Max length23
Median length23
Mean length15.206897
Min length4

Unique

Unique1 ?
Unique (%)3.4%

Sample

1st row<NA>
2nd row접근성정보(*계단. 길 상태. 경사) 있음
3rd row접근성정보(*계단. 길 상태. 경사) 있음
4th row접근성정보(*계단. 길 상태. 경사) 있음
5th row접근성정보(*계단. 길 상태. 경사) 있음

Common Values

ValueCountFrequency (%)
접근성정보(*계단. 길 상태. 경사) 있음 17
58.6%
<NA> 11
37.9%
장애인화장실 1
 
3.4%

Length

2023-12-12T04:45:19.499114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:45:19.668385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접근성정보(*계단 17
17.5%
길 17
17.5%
상태 17
17.5%
경사 17
17.5%
있음 17
17.5%
na 11
11.3%
장애인화장실 1
 
1.0%

전체코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size161.0 B
True
29 
ValueCountFrequency (%)
True 29
100.0%
2023-12-12T04:45:19.797782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

추천코스여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size161.0 B
True
20 
False
9 
ValueCountFrequency (%)
True 20
69.0%
False 9
31.0%
2023-12-12T04:45:19.923439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2021-12-22
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-12-22
2nd row2021-12-22
3rd row2021-12-22
4th row2021-12-22
5th row2021-12-22

Common Values

ValueCountFrequency (%)
2021-12-22 29
100.0%

Length

2023-12-12T04:45:20.087069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:45:20.232861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-22 29
100.0%

Interactions

2023-12-12T04:45:14.686568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.001591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.510301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:14.108926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:14.819962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.113841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.649289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:14.252289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:14.968253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.252112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.815178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:14.405883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:15.112948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.383466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:13.960850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:45:14.548440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:45:20.346614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도구분설명포인트상세정보추천코스여부
순서1.0000.8550.9500.7521.0001.0001.0000.961
위도0.8551.0000.9400.8300.9660.8550.0000.110
경도0.9500.9401.0000.0000.9790.9501.0000.995
구분0.7520.8300.0001.0000.9180.7521.0000.000
설명1.0000.9660.9790.9181.0001.000NaN1.000
포인트1.0000.8550.9500.7521.0001.0001.0000.961
상세정보1.0000.0001.0001.000NaN1.0001.0000.000
추천코스여부0.9610.1100.9950.0001.0000.9610.0001.000
2023-12-12T04:45:20.559795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추천코스여부상세정보
추천코스여부1.0000.000
상세정보0.0001.000
2023-12-12T04:45:20.720904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도포인트상세정보추천코스여부
순서1.000-0.168-0.8001.0000.7500.693
위도-0.1681.000-0.295-0.1680.0000.000
경도-0.800-0.2951.000-0.8000.7500.788
포인트1.000-0.168-0.8001.0000.7500.693
상세정보0.7500.0000.7500.7501.0000.000
추천코스여부0.6930.0000.7880.6930.0001.000

Missing values

2023-12-12T04:45:15.291938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:45:15.520186image/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

순서위도경도구분설명포인트상세정보전체코스여부추천코스여부데이터기준일자
0133.287598126.7513태흥2리 포구 주차장<NA>1<NA>YY2021-12-22
1233.287414126.75134동 방파제 등대로 가는 진입로 시작턱 7cm. 동행인 도움 필요2접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
2333.286422126.752063오르막 경사로 시작거리 4.7m. 각도 5도. 방파제 담 높이 80cm3접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
3433.286397126.752096오르막 경사로 끝<NA>4접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
4533.285768126.752719오르막 경사로 시작거리 8m. 각도 10도5접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
5633.28571126.752797오르막 경사로 끝<NA>6접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
6733.284449126.752445오르막 경사로 시작거리 5m. 각도 11~13도7접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
7833.284401126.752433오르막 경사로 끝<NA>8접근성정보(*계단. 길 상태. 경사) 있음YN2021-12-22
8933.284268126.752344태흥2리 항 동 방파제 등대주차장 쪽으로 돌아가서 반대편 방파제로 이동9<NA>YN2021-12-22
91033.287847126.750733항구 선착장<NA>10<NA>YN2021-12-22
순서위도경도구분설명포인트상세정보전체코스여부추천코스여부데이터기준일자
192033.285082126.749702태흥2리 마을카페 간이옥돔역 카페턱 24cm. 턱이 있어 내부진입이 불가능하나 야외테이블 이용가능20접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
202133.285043126.750024야외테이블이 있는 뷰 포인트노면 잔디21접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
212233.285399126.750174그늘 쉼터노면 잔디로 채워진 판석길. 턱 3cm22접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
222333.285519126.750043수영장 관리실/매점코로나로 인해 운영 중단. 이용료 사진 참조23<NA>YY2021-12-22
232433.285668126.750008야외수영장코로나로 인해 운영중단24<NA>YY2021-12-22
242533.285813126.749739탈의실코로나로 인해 운영중단25<NA>YY2021-12-22
252633.285847126.749742화장실로 가는 잔디길 시작<NA>26접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
262733.286123126.749377잔디길 끝. 체육공원 야외화장실<NA>27장애인화장실YY2021-12-22
272833.286119126.749284자전거길 진입로주차장으로 돌아가는 자전거길 시작28<NA>YY2021-12-22
282933.286974126.749357태흥2리 어촌계 유판장위판장 맞은편 안내도 지나 주차장 복귀29<NA>YY2021-12-22