Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells10
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory89.1 B

Variable types

Numeric4
Text2
Categorical1
Boolean2
DateTime1

Dataset

Description행원리풍차마을의 위치와 관련된 정보로 위도, 경도, 구분, 설명, 포인트, 추천 코스 등의 정보를 제공합니다.
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/1098

Alerts

전체코스여부 has constant value ""Constant
추천코스여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순서 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 순서 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 순서 and 2 other fieldsHigh correlation
포인트 is highly overall correlated with 순서 and 2 other fieldsHigh correlation
상세정보 is highly overall correlated with 위도High correlation
설명 has 10 (38.5%) missing valuesMissing
순서 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
포인트 has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:54:44.872118
Analysis finished2023-12-11 19:54:47.623003
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T04:54:47.732360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T04:54:48.355837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.558547
Minimum33.555084
Maximum33.561703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T04:54:48.547425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.555084
5-th percentile33.555558
Q133.556294
median33.558383
Q333.560514
95-th percentile33.561567
Maximum33.561703
Range0.00661894
Interquartile range (IQR)0.0042192625

Descriptive statistics

Standard deviation0.0022846183
Coefficient of variation (CV)6.8078584 × 10-5
Kurtosis-1.5933309
Mean33.558547
Median Absolute Deviation (MAD)0.002116015
Skewness-0.016106544
Sum872.52221
Variance5.2194808 × 10-6
MonotonicityNot monotonic
2023-12-12T04:54:48.764241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
33.55977103 1
 
3.8%
33.55626798 1
 
3.8%
33.55724598 1
 
3.8%
33.55727197 1
 
3.8%
33.55784697 1
 
3.8%
33.55892002 1
 
3.8%
33.55729703 1
 
3.8%
33.55627402 1
 
3.8%
33.55554404 1
 
3.8%
33.55568402 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
33.55508404 1
3.8%
33.55554404 1
3.8%
33.55560003 1
3.8%
33.55568402 1
3.8%
33.55599498 1
3.8%
33.55626798 1
3.8%
33.55627402 1
3.8%
33.55635499 1
3.8%
33.55724598 1
3.8%
33.55727197 1
3.8%
ValueCountFrequency (%)
33.56170298 1
3.8%
33.56159602 1
3.8%
33.56148102 1
3.8%
33.56145596 1
3.8%
33.56144004 1
3.8%
33.56058299 1
3.8%
33.56051803 1
3.8%
33.56050001 1
3.8%
33.56045499 1
3.8%
33.560125 1
3.8%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.81183
Minimum126.80562
Maximum126.81828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T04:54:48.990772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.80562
5-th percentile126.80748
Q1126.8085
median126.81092
Q3126.81516
95-th percentile126.81808
Maximum126.81828
Range0.012669
Interquartile range (IQR)0.00666525

Descriptive statistics

Standard deviation0.0038724051
Coefficient of variation (CV)3.0536623 × 10-5
Kurtosis-1.3292868
Mean126.81183
Median Absolute Deviation (MAD)0.003261
Skewness0.20786646
Sum3297.1076
Variance1.4995521 × 10-5
MonotonicityNot monotonic
2023-12-12T04:54:49.234901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
126.818284 1
 
3.8%
126.809889 1
 
3.8%
126.807653 1
 
3.8%
126.807605 1
 
3.8%
126.807451 1
 
3.8%
126.805615 1
 
3.8%
126.807563 1
 
3.8%
126.807823 1
 
3.8%
126.808391 1
 
3.8%
126.808819 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
126.805615 1
3.8%
126.807451 1
3.8%
126.807563 1
3.8%
126.807605 1
3.8%
126.807653 1
3.8%
126.807823 1
3.8%
126.808391 1
3.8%
126.808812 1
3.8%
126.808819 1
3.8%
126.809411 1
3.8%
ValueCountFrequency (%)
126.818284 1
3.8%
126.818123 1
3.8%
126.817968 1
3.8%
126.815742 1
3.8%
126.815711 1
3.8%
126.815618 1
3.8%
126.815489 1
3.8%
126.814179 1
3.8%
126.814177 1
3.8%
126.814149 1
3.8%

구분
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T04:54:49.621040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length6.3461538
Min length2

Characters and Unicode

Total characters165
Distinct characters93
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

Unique24 ?
Unique (%)92.3%

Sample

1st row장애인 주차장
2nd row신재생에너지홍보관 입구
3rd row횡단보도
4th row공터
5th row내리막 시작
ValueCountFrequency (%)
시작 3
 
6.5%
시멘트길 2
 
4.3%
마을 2
 
4.3%
끝 2
 
4.3%
앞 2
 
4.3%
입구 2
 
4.3%
등대 1
 
2.2%
진입 1
 
2.2%
비포장 1
 
2.2%
건널목 1
 
2.2%
Other values (29) 29
63.0%
2023-12-12T04:54:50.183535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
12.1%
시 6
 
3.6%
장 5
 
3.0%
바 4
 
2.4%
작 4
 
2.4%
지 3
 
1.8%
다 3
 
1.8%
입 3
 
1.8%
멘 3
 
1.8%
방 3
 
1.8%
Other values (83) 111
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 138
83.6%
Space Separator 20
 
12.1%
Other Punctuation 3
 
1.8%
Open Punctuation 2
 
1.2%
Close Punctuation 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6
 
4.3%
장 5
 
3.6%
바 4
 
2.9%
작 4
 
2.9%
지 3
 
2.2%
다 3
 
2.2%
입 3
 
2.2%
멘 3
 
2.2%
방 3
 
2.2%
길 3
 
2.2%
Other values (77) 101
73.2%
Other Punctuation
ValueCountFrequency (%)
. 1
33.3%
/ 1
33.3%
? 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 138
83.6%
Common 27
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6
 
4.3%
장 5
 
3.6%
바 4
 
2.9%
작 4
 
2.9%
지 3
 
2.2%
다 3
 
2.2%
입 3
 
2.2%
멘 3
 
2.2%
방 3
 
2.2%
길 3
 
2.2%
Other values (77) 101
73.2%
Common
ValueCountFrequency (%)
20
74.1%
( 2
 
7.4%
) 2
 
7.4%
. 1
 
3.7%
/ 1
 
3.7%
? 1
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 138
83.6%
ASCII 27
 
16.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
74.1%
( 2
 
7.4%
) 2
 
7.4%
. 1
 
3.7%
/ 1
 
3.7%
? 1
 
3.7%
Hangul
ValueCountFrequency (%)
시 6
 
4.3%
장 5
 
3.6%
바 4
 
2.9%
작 4
 
2.9%
지 3
 
2.2%
다 3
 
2.2%
입 3
 
2.2%
멘 3
 
2.2%
방 3
 
2.2%
길 3
 
2.2%
Other values (77) 101
73.2%

설명
Text

MISSING 

Distinct16
Distinct (%)100.0%
Missing10
Missing (%)38.5%
Memory size340.0 B
2023-12-12T04:54:50.592189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length25
Mean length18.75
Min length2

Characters and Unicode

Total characters300
Distinct characters128
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

Unique16 ?
Unique (%)100.0%

Sample

1st row제주에너지공사 에너지미래관
2nd row내부:장애인화장실
3rd row8도
4th row6도. 포장상태 좋지않음. (시멘트. 울퉁)
5th rowview point(바다. 풍차). 정자 접근로 턱으로 인해 접근불가
ValueCountFrequency (%)
view 3
 
4.8%
접근로 3
 
4.8%
정자 3
 
4.8%
풍차 2
 
3.2%
접근불가 2
 
3.2%
인해 2
 
3.2%
턱으로 2
 
3.2%
point(바다 2
 
3.2%
길을 1
 
1.6%
24.25 1
 
1.6%
Other values (42) 42
66.7%
2023-12-12T04:54:51.232630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
15.7%
. 19
 
6.3%
로 7
 
2.3%
접 6
 
2.0%
근 6
 
2.0%
i 6
 
2.0%
바 6
 
2.0%
차 5
 
1.7%
다 5
 
1.7%
장 5
 
1.7%
Other values (118) 188
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
59.7%
Space Separator 47
 
15.7%
Lowercase Letter 29
 
9.7%
Other Punctuation 26
 
8.7%
Decimal Number 11
 
3.7%
Close Punctuation 4
 
1.3%
Open Punctuation 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 7
 
3.9%
접 6
 
3.4%
근 6
 
3.4%
바 6
 
3.4%
차 5
 
2.8%
다 5
 
2.8%
장 5
 
2.8%
단 4
 
2.2%
도 4
 
2.2%
너 4
 
2.2%
Other values (93) 127
70.9%
Lowercase Letter
ValueCountFrequency (%)
i 6
20.7%
v 3
10.3%
t 3
10.3%
e 3
10.3%
w 3
10.3%
p 3
10.3%
o 3
10.3%
n 3
10.3%
c 1
 
3.4%
m 1
 
3.4%
Decimal Number
ValueCountFrequency (%)
9 2
18.2%
2 2
18.2%
6 2
18.2%
4 1
9.1%
5 1
9.1%
3 1
9.1%
0 1
9.1%
8 1
9.1%
Other Punctuation
ValueCountFrequency (%)
. 19
73.1%
" 4
 
15.4%
' 2
 
7.7%
: 1
 
3.8%
Space Separator
ValueCountFrequency (%)
47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
59.7%
Common 92
30.7%
Latin 29
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 7
 
3.9%
접 6
 
3.4%
근 6
 
3.4%
바 6
 
3.4%
차 5
 
2.8%
다 5
 
2.8%
장 5
 
2.8%
단 4
 
2.2%
도 4
 
2.2%
너 4
 
2.2%
Other values (93) 127
70.9%
Common
ValueCountFrequency (%)
47
51.1%
. 19
20.7%
) 4
 
4.3%
" 4
 
4.3%
( 4
 
4.3%
9 2
 
2.2%
' 2
 
2.2%
2 2
 
2.2%
6 2
 
2.2%
4 1
 
1.1%
Other values (5) 5
 
5.4%
Latin
ValueCountFrequency (%)
i 6
20.7%
v 3
10.3%
t 3
10.3%
e 3
10.3%
w 3
10.3%
p 3
10.3%
o 3
10.3%
n 3
10.3%
c 1
 
3.4%
m 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
59.7%
ASCII 121
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
38.8%
. 19
15.7%
i 6
 
5.0%
) 4
 
3.3%
" 4
 
3.3%
( 4
 
3.3%
v 3
 
2.5%
t 3
 
2.5%
e 3
 
2.5%
w 3
 
2.5%
Other values (15) 25
20.7%
Hangul
ValueCountFrequency (%)
로 7
 
3.9%
접 6
 
3.4%
근 6
 
3.4%
바 6
 
3.4%
차 5
 
2.8%
다 5
 
2.8%
장 5
 
2.8%
단 4
 
2.2%
도 4
 
2.2%
너 4
 
2.2%
Other values (93) 127
70.9%

포인트
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T04:54:51.459967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2023-12-12T04:54:51.650801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

상세정보
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size340.0 B
접근성정보(*계단. 길 상태. 경사) 있음
14 
<NA>
11 
장애인화장실
 
1

Length

Max length23
Median length23
Mean length14.307692
Min length4

Unique

Unique1 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
접근성정보(*계단. 길 상태. 경사) 있음 14
53.8%
<NA> 11
42.3%
장애인화장실 1
 
3.8%

Length

2023-12-12T04:54:51.870184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:54:52.061780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
접근성정보(*계단 14
17.1%
길 14
17.1%
상태 14
17.1%
경사 14
17.1%
있음 14
17.1%
na 11
13.4%
장애인화장실 1
 
1.2%

전체코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size158.0 B
True
26 
ValueCountFrequency (%)
True 26
100.0%
2023-12-12T04:54:52.212679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

추천코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size158.0 B
True
26 
ValueCountFrequency (%)
True 26
100.0%
2023-12-12T04:54:52.344628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2021-12-22 00:00:00
Maximum2021-12-22 00:00:00
2023-12-12T04:54:52.478907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:52.640735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T04:54:46.751356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.256814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.687716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.243885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.859315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.364046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.811265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.339677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.980097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.473070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.945411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.521935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:47.150474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:45.570878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.099181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:54:46.640162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:54:52.768836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도구분설명포인트상세정보
순서1.0000.7850.8791.0001.0001.0000.000
위도0.7851.0000.9640.8681.0000.7851.000
경도0.8790.9641.0001.0001.0000.8790.609
구분1.0000.8681.0001.0001.0001.0001.000
설명1.0001.0001.0001.0001.0001.0001.000
포인트1.0000.7850.8791.0001.0001.0000.000
상세정보0.0001.0000.6091.0001.0000.0001.000
2023-12-12T04:54:52.919145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도포인트상세정보
순서1.000-0.624-0.9581.0000.000
위도-0.6241.0000.582-0.6240.734
경도-0.9580.5821.000-0.9580.340
포인트1.000-0.624-0.9581.0000.000
상세정보0.0000.7340.3400.0001.000

Missing values

2023-12-12T04:54:47.327337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:54:47.546125image/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
0133.559771126.818284장애인 주차장제주에너지공사 에너지미래관1<NA>YY2021-12-22
1233.559383126.817968신재생에너지홍보관 입구내부:장애인화장실2장애인화장실YY2021-12-22
2333.560125126.818123횡단보도<NA>3접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
3433.5605126.815711공터<NA>4<NA>YY2021-12-22
4533.560518126.815618내리막 시작8도5접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
5633.560583126.815489경사 끝<NA>6접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
6733.561456126.814177쉼터 앞<NA>7<NA>YY2021-12-22
7833.561596126.814179오르막 시작6도. 포장상태 좋지않음. (시멘트. 울퉁)8접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
8933.561703126.814139작은 반환점view point(바다. 풍차). 정자 접근로 턱으로 인해 접근불가9접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
91033.56144126.814149비장애인동선접근로 단차 9cm10접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
순서위도경도구분설명포인트상세정보전체코스여부추천코스여부데이터기준일자
161733.555084126.809411퐁낭(그늘)바람이 솔솔17<NA>YY2021-12-22
171833.5556126.808812용천수탕/소공원<NA>18<NA>YY2021-12-22
181933.555684126.808819판석로접근 어려움. 판석과 잔디존재. 노면 단단19접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
192033.555544126.808391과속방지턱<NA>20접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
202133.556274126.807823건널목(바다방향)우측. 카페'걷다'21접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
212233.557297126.807563시멘트 포장로 끝. 비포장 시작<NA>22접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
222333.55892126.805615등대방파제 끝. 360도 조망권(바다.오름.넙빌레)23<NA>YY2021-12-22
232433.557847126.807451시멘트길<NA>24접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
242533.557272126.807605시멘트길24.25 사이는 비포장길25접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
252633.557246126.807653종료<NA>26<NA>YY2021-12-22