Overview

Dataset statistics

Number of variables10
Number of observations29
Missing cells14
Missing cells (%)4.8%
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

Description연대포구와외도포구산책길의 위치와 관련된 정보로 위도, 경도, 구분, 설명, 포인트, 추천 코스 등의 정보를 제공합니다.
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/1080

Alerts

전체코스여부 has constant value ""Constant
추천코스여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
순서 is highly overall correlated with 경도 and 2 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 순서 and 2 other fieldsHigh correlation
설명 has 14 (48.3%) missing valuesMissing
순서 has unique valuesUnique
경도 has unique valuesUnique
포인트 has unique valuesUnique

Reproduction

Analysis started2023-12-11 20:10:12.677513
Analysis finished2023-12-11 20:10:14.430137
Duration1.75 second
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
2023-12-12T05:10:14.718715image/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
2023-12-12T05:10:14.828312image/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%
Mean33.494301
Minimum33.493876
Maximum33.495288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T05:10:14.943557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.493876
5-th percentile33.493908
Q133.494026
median33.494104
Q333.494594
95-th percentile33.49511
Maximum33.495288
Range0.00141193
Interquartile range (IQR)0.00056804

Descriptive statistics

Standard deviation0.00040410335
Coefficient of variation (CV)1.2064839 × 10-5
Kurtosis0.23648835
Mean33.494301
Median Absolute Deviation (MAD)0.00011601
Skewness1.1693141
Sum971.33474
Variance1.6329952 × 10-7
MonotonicityNot monotonic
2023-12-12T05:10:15.118270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
33.49401902 2
 
6.9%
33.494906 1
 
3.4%
33.49469704 1
 
3.4%
33.49476602 1
 
3.4%
33.49459402 1
 
3.4%
33.49445798 1
 
3.4%
33.49414802 1
 
3.4%
33.49390201 1
 
3.4%
33.49387603 1
 
3.4%
33.49391601 1
 
3.4%
Other values (18) 18
62.1%
ValueCountFrequency (%)
33.49387603 1
3.4%
33.49390201 1
3.4%
33.49391601 1
3.4%
33.49398801 1
3.4%
33.49399203 1
3.4%
33.49401902 2
6.9%
33.49402598 1
3.4%
33.49404702 1
3.4%
33.49405004 1
3.4%
33.49406202 1
3.4%
ValueCountFrequency (%)
33.49528796 1
3.4%
33.49519098 1
3.4%
33.49498797 1
3.4%
33.494906 1
3.4%
33.49476602 1
3.4%
33.49469704 1
3.4%
33.49463501 1
3.4%
33.49459402 1
3.4%
33.49445798 1
3.4%
33.49432899 1
3.4%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.43107
Minimum126.42602
Maximum126.43546
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T05:10:15.277461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.42602
5-th percentile126.42681
Q1126.43059
median126.43099
Q3126.43193
95-th percentile126.43488
Maximum126.43546
Range0.009448
Interquartile range (IQR)0.001341

Descriptive statistics

Standard deviation0.0023485519
Coefficient of variation (CV)1.8575749 × 10-5
Kurtosis0.36456344
Mean126.43107
Median Absolute Deviation (MAD)0.000854
Skewness-0.28937735
Sum3666.5011
Variance5.5156963 × 10-6
MonotonicityNot monotonic
2023-12-12T05:10:15.432904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
126.435463 1
 
3.4%
126.434964 1
 
3.4%
126.427023 1
 
3.4%
126.426015 1
 
3.4%
126.426679 1
 
3.4%
126.426995 1
 
3.4%
126.429604 1
 
3.4%
126.429903 1
 
3.4%
126.430202 1
 
3.4%
126.430586 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
126.426015 1
3.4%
126.426679 1
3.4%
126.426995 1
3.4%
126.427023 1
3.4%
126.429604 1
3.4%
126.429903 1
3.4%
126.430202 1
3.4%
126.430586 1
3.4%
126.430685 1
3.4%
126.430695 1
3.4%
ValueCountFrequency (%)
126.435463 1
3.4%
126.434964 1
3.4%
126.434748 1
3.4%
126.434532 1
3.4%
126.433549 1
3.4%
126.432653 1
3.4%
126.432301 1
3.4%
126.431927 1
3.4%
126.431849 1
3.4%
126.431469 1
3.4%

구분
Text

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T05:10:15.692736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.8275862
Min length1

Characters and Unicode

Total characters140
Distinct characters50
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

Unique21 ?
Unique (%)72.4%

Sample

1st row주차장
2nd row내리막
3rd row쉼터
4th row해안벽화 시작
5th row카페 계단
ValueCountFrequency (%)
끝 7
14.6%
시작 7
14.6%
오르막 6
12.5%
계단 3
 
6.2%
내리막 3
 
6.2%
판석길 2
 
4.2%
해안벽화 2
 
4.2%
주차장 2
 
4.2%
연대포구 2
 
4.2%
양식장 1
 
2.1%
Other values (13) 13
27.1%
2023-12-12T05:10:16.076222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19
 
13.6%
막 9
 
6.4%
시 7
 
5.0%
작 7
 
5.0%
끝 7
 
5.0%
오 6
 
4.3%
르 6
 
4.3%
장 5
 
3.6%
대 4
 
2.9%
해 3
 
2.1%
Other values (40) 67
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 121
86.4%
Space Separator 19
 
13.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
막 9
 
7.4%
시 7
 
5.8%
작 7
 
5.8%
끝 7
 
5.8%
오 6
 
5.0%
르 6
 
5.0%
장 5
 
4.1%
대 4
 
3.3%
해 3
 
2.5%
리 3
 
2.5%
Other values (39) 64
52.9%
Space Separator
ValueCountFrequency (%)
19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 121
86.4%
Common 19
 
13.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
막 9
 
7.4%
시 7
 
5.8%
작 7
 
5.8%
끝 7
 
5.8%
오 6
 
5.0%
르 6
 
5.0%
장 5
 
4.1%
대 4
 
3.3%
해 3
 
2.5%
리 3
 
2.5%
Other values (39) 64
52.9%
Common
ValueCountFrequency (%)
19
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 121
86.4%
ASCII 19
 
13.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19
100.0%
Hangul
ValueCountFrequency (%)
막 9
 
7.4%
시 7
 
5.8%
작 7
 
5.8%
끝 7
 
5.8%
오 6
 
5.0%
르 6
 
5.0%
장 5
 
4.1%
대 4
 
3.3%
해 3
 
2.5%
리 3
 
2.5%
Other values (39) 64
52.9%

설명
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing14
Missing (%)48.3%
Memory size364.0 B
2023-12-12T05:10:16.245793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length7.6666667
Min length2

Characters and Unicode

Total characters115
Distinct characters51
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row장애인 주차구역
2nd row5도. 폭 40cm. 차도로 합류
3rd row계단 2개
4th row보행자 전용
5th row5도. 오른쪽 쉼터. 왼쪽 벤치 50.3cm
ValueCountFrequency (%)
5도 3
 
8.6%
폭 2
 
5.7%
왼쪽 2
 
5.7%
장애인 1
 
2.9%
가는 1
 
2.9%
7도 1
 
2.9%
7m 1
 
2.9%
5m 1
 
2.9%
연대포구 1
 
2.9%
4도 1
 
2.9%
Other values (21) 21
60.0%
2023-12-12T05:10:16.564284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
17.4%
. 9
 
7.8%
m 7
 
6.1%
5 6
 
5.2%
도 6
 
5.2%
구 4
 
3.5%
3 4
 
3.5%
0 3
 
2.6%
쪽 3
 
2.6%
1 3
 
2.6%
Other values (41) 50
43.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54
47.0%
Decimal Number 22
19.1%
Space Separator 20
 
17.4%
Lowercase Letter 10
 
8.7%
Other Punctuation 9
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6
 
11.1%
구 4
 
7.4%
쪽 3
 
5.6%
개 3
 
5.6%
왼 2
 
3.7%
폭 2
 
3.7%
차 2
 
3.7%
치 1
 
1.9%
벤 1
 
1.9%
연 1
 
1.9%
Other values (29) 29
53.7%
Decimal Number
ValueCountFrequency (%)
5 6
27.3%
3 4
18.2%
0 3
13.6%
1 3
13.6%
7 2
 
9.1%
4 2
 
9.1%
8 1
 
4.5%
2 1
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
m 7
70.0%
c 3
30.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54
47.0%
Common 51
44.3%
Latin 10
 
8.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6
 
11.1%
구 4
 
7.4%
쪽 3
 
5.6%
개 3
 
5.6%
왼 2
 
3.7%
폭 2
 
3.7%
차 2
 
3.7%
치 1
 
1.9%
벤 1
 
1.9%
연 1
 
1.9%
Other values (29) 29
53.7%
Common
ValueCountFrequency (%)
20
39.2%
. 9
17.6%
5 6
 
11.8%
3 4
 
7.8%
0 3
 
5.9%
1 3
 
5.9%
7 2
 
3.9%
4 2
 
3.9%
8 1
 
2.0%
2 1
 
2.0%
Latin
ValueCountFrequency (%)
m 7
70.0%
c 3
30.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 61
53.0%
Hangul 54
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
32.8%
. 9
14.8%
m 7
 
11.5%
5 6
 
9.8%
3 4
 
6.6%
0 3
 
4.9%
1 3
 
4.9%
c 3
 
4.9%
7 2
 
3.3%
4 2
 
3.3%
Other values (2) 2
 
3.3%
Hangul
ValueCountFrequency (%)
도 6
 
11.1%
구 4
 
7.4%
쪽 3
 
5.6%
개 3
 
5.6%
왼 2
 
3.7%
폭 2
 
3.7%
차 2
 
3.7%
치 1
 
1.9%
벤 1
 
1.9%
연 1
 
1.9%
Other values (29) 29
53.7%

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
2023-12-12T05:10:16.695939image/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
2023-12-12T05:10:16.814656image/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 row접근성정보(*계단. 길 상태. 경사) 있음
2nd row접근성정보(*계단. 길 상태. 경사) 있음
3rd row<NA>
4th row<NA>
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

2023-12-12T05:10:16.975073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:10:17.109422image/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%
2023-12-12T05:10:17.221757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

추천코스여부
Boolean

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size161.0 B
True
29 
ValueCountFrequency (%)
True 29
100.0%
2023-12-12T05:10:17.312410image/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

2023-12-12T05:10:17.434225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:10:17.563325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-12-22 29
100.0%

Interactions

2023-12-12T05:10:13.941292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:12.964872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.290075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.611072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:14.020927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.055264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.373023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.685619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:14.097351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.134474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.459105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.789057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:14.166790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.214145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.533678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T05:10:13.860660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:10:17.655600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도구분설명포인트상세정보
순서1.0000.7410.8850.6781.0001.0001.000
위도0.7411.0000.7271.0001.0000.7410.465
경도0.8850.7271.0000.6841.0000.8851.000
구분0.6781.0000.6841.0001.0000.6781.000
설명1.0001.0001.0001.0001.0001.0001.000
포인트1.0000.7410.8850.6781.0001.0001.000
상세정보1.0000.4651.0001.0001.0001.0001.000
2023-12-12T05:10:17.804719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서위도경도포인트상세정보
순서1.000-0.313-0.9781.0000.750
위도-0.3131.0000.324-0.3130.500
경도-0.9780.3241.000-0.9780.829
포인트1.000-0.313-0.9781.0000.750
상세정보0.7500.5000.8290.7501.000

Missing values

2023-12-12T05:10:14.264768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:10:14.384357image/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
0133.494906126.435463주차장장애인 주차구역1접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
1233.494988126.434964내리막5도. 폭 40cm. 차도로 합류2접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
2333.495191126.434748쉼터<NA>3<NA>YY2021-12-22
3433.495288126.434532해안벽화 시작<NA>4<NA>YY2021-12-22
4533.494635126.433549카페 계단<NA>5접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
5633.494226126.432653월대쉼터계단 2개6접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
6733.494104126.432301해안벽화 끝<NA>7<NA>YY2021-12-22
7833.49405126.431927산책로 시작보행자 전용8<NA>YY2021-12-22
8933.494047126.431849오르막 시작<NA>9접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
91033.494026126.431351오르막 끝5도. 오른쪽 쉼터. 왼쪽 벤치 50.3cm10접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
순서위도경도구분설명포인트상세정보전체코스여부추천코스여부데이터기준일자
192033.493992126.430916내리막 끝5도. 5m20접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
202133.493916126.430685삭제<NA>21<NA>YY2021-12-22
212233.493876126.430586표지판연대포구 가는 길22<NA>YY2021-12-22
222333.493902126.430202전복 양식장왼쪽23<NA>YY2021-12-22
232433.494019126.429903오르막 시작<NA>24접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
242533.494148126.429604오르막 끝4도. 31m25접근성정보(*계단. 길 상태. 경사) 있음YY2021-12-22
252633.494458126.426995나무데크길 끝<NA>26<NA>YY2021-12-22
262733.494594126.426679연대포구<NA>27<NA>YY2021-12-22
272833.494766126.426015연대포구 주차장8면28<NA>YY2021-12-22
282933.494697126.427023장애화장실남녀구분. 입구 폭 3m29장애인화장실YY2021-12-22