Overview

Dataset statistics

Number of variables7
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory63.7 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description강원특별자치도 동해시의 관광명소에 대하여 관광명소명, 도로명주소, 지번주소, 전화번호, 경도, 위도 등을 제공해드립니다.
Author강원특별자치도 동해시
URLhttps://www.data.go.kr/data/15029894/fileData.do

Alerts

기준일자 has constant value ""Constant
관광명소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:20:12.278831
Analysis finished2023-12-12 16:20:13.225616
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관광명소명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T01:20:13.352018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length14
Mean length7.4347826
Min length3

Characters and Unicode

Total characters171
Distinct characters94
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row망상해수욕장
2nd row망상오토캠핑리조트&망상해변한옥마을[해안]
3rd row추암촛대바위(추암해수욕장)
4th row추암오토캠핑장
5th row무릉계곡
ValueCountFrequency (%)
무릉계곡 2
 
7.7%
도째비골 2
 
7.7%
망상해수욕장 1
 
3.8%
촛대바위 1
 
3.8%
해랑전망대 1
 
3.8%
스카이밸리 1
 
3.8%
망상제2오토캠핑장 1
 
3.8%
초록봉 1
 
3.8%
호해정,할미바위 1
 
3.8%
만경대 1
 
3.8%
Other values (14) 14
53.8%
2023-12-13T01:20:13.713115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 8
 
4.7%
해 7
 
4.1%
망 5
 
2.9%
릉 5
 
2.9%
대 5
 
2.9%
무 5
 
2.9%
추 4
 
2.3%
캠 4
 
2.3%
상 4
 
2.3%
호 4
 
2.3%
Other values (84) 120
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
93.0%
Space Separator 3
 
1.8%
Open Punctuation 3
 
1.8%
Close Punctuation 3
 
1.8%
Other Punctuation 2
 
1.2%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 8
 
5.0%
해 7
 
4.4%
망 5
 
3.1%
릉 5
 
3.1%
대 5
 
3.1%
무 5
 
3.1%
추 4
 
2.5%
캠 4
 
2.5%
상 4
 
2.5%
호 4
 
2.5%
Other values (76) 108
67.9%
Open Punctuation
ValueCountFrequency (%)
( 2
66.7%
[ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 2
66.7%
] 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
93.0%
Common 12
 
7.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 8
 
5.0%
해 7
 
4.4%
망 5
 
3.1%
릉 5
 
3.1%
대 5
 
3.1%
무 5
 
3.1%
추 4
 
2.5%
캠 4
 
2.5%
상 4
 
2.5%
호 4
 
2.5%
Other values (76) 108
67.9%
Common
ValueCountFrequency (%)
3
25.0%
( 2
16.7%
) 2
16.7%
, 1
 
8.3%
2 1
 
8.3%
& 1
 
8.3%
[ 1
 
8.3%
] 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
93.0%
ASCII 12
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 8
 
5.0%
해 7
 
4.4%
망 5
 
3.1%
릉 5
 
3.1%
대 5
 
3.1%
무 5
 
3.1%
추 4
 
2.5%
캠 4
 
2.5%
상 4
 
2.5%
호 4
 
2.5%
Other values (76) 108
67.9%
ASCII
ValueCountFrequency (%)
3
25.0%
( 2
16.7%
) 2
16.7%
, 1
 
8.3%
2 1
 
8.3%
& 1
 
8.3%
[ 1
 
8.3%
] 1
 
8.3%

도로명주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T01:20:13.926951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.478261
Min length18

Characters and Unicode

Total characters471
Distinct characters55
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 (%)91.3%

Sample

1st row강원특별자치도 동해시 동해대로 6270-10
2nd row강원특별자치도 동해시 동해대로 6370
3rd row강원특별자치도 동해시 촛대바위길 6
4th row강원특별자치도 동해시 촛대바위길 28
5th row강원특별자치도 동해시 삼화로 538
ValueCountFrequency (%)
동해시 23
24.5%
강원특별자치도 22
23.4%
촛대바위길 3
 
3.2%
동해대로 3
 
3.2%
삼화로 3
 
3.2%
묵호진동 2
 
2.1%
구미동 2
 
2.1%
97 2
 
2.1%
일출로 2
 
2.1%
삼화동 2
 
2.1%
Other values (29) 30
31.9%
2023-12-13T01:20:14.321923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
15.5%
동 34
 
7.2%
해 27
 
5.7%
시 24
 
5.1%
원 23
 
4.9%
강 23
 
4.9%
별 23
 
4.9%
도 22
 
4.7%
치 22
 
4.7%
자 22
 
4.7%
Other values (45) 178
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
68.4%
Space Separator 73
 
15.5%
Decimal Number 69
 
14.6%
Dash Punctuation 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 34
10.6%
해 27
 
8.4%
시 24
 
7.5%
원 23
 
7.1%
강 23
 
7.1%
별 23
 
7.1%
도 22
 
6.8%
치 22
 
6.8%
자 22
 
6.8%
특 22
 
6.8%
Other values (33) 80
24.8%
Decimal Number
ValueCountFrequency (%)
2 12
17.4%
6 8
11.6%
1 8
11.6%
7 8
11.6%
4 6
8.7%
0 6
8.7%
3 6
8.7%
8 6
8.7%
5 5
7.2%
9 4
 
5.8%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
68.4%
Common 149
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 34
10.6%
해 27
 
8.4%
시 24
 
7.5%
원 23
 
7.1%
강 23
 
7.1%
별 23
 
7.1%
도 22
 
6.8%
치 22
 
6.8%
자 22
 
6.8%
특 22
 
6.8%
Other values (33) 80
24.8%
Common
ValueCountFrequency (%)
73
49.0%
2 12
 
8.1%
6 8
 
5.4%
1 8
 
5.4%
7 8
 
5.4%
- 7
 
4.7%
4 6
 
4.0%
0 6
 
4.0%
3 6
 
4.0%
8 6
 
4.0%
Other values (2) 9
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
68.4%
ASCII 149
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
49.0%
2 12
 
8.1%
6 8
 
5.4%
1 8
 
5.4%
7 8
 
5.4%
- 7
 
4.7%
4 6
 
4.0%
0 6
 
4.0%
3 6
 
4.0%
8 6
 
4.0%
Other values (2) 9
 
6.0%
Hangul
ValueCountFrequency (%)
동 34
10.6%
해 27
 
8.4%
시 24
 
7.5%
원 23
 
7.1%
강 23
 
7.1%
별 23
 
7.1%
도 22
 
6.8%
치 22
 
6.8%
자 22
 
6.8%
특 22
 
6.8%
Other values (33) 80
24.8%

지번주소
Text

Distinct22
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T01:20:14.569634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length24.391304
Min length17

Characters and Unicode

Total characters561
Distinct characters75
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 (%)91.3%

Sample

1st row강원특별자치도 동해시 망상동 393-100 망상종합관광안내소
2nd row강원특별자치도 동해시 망상동 393-39 망상오토캠핑리조트
3rd row강원특별자치도 동해시 추암동 1 추암관광안내소
4th row강원특별자치도 동해시 추암동 1
5th row강원특별자치도 동해시 삼화동 859 무릉계곡관리사무소
ValueCountFrequency (%)
동해시 23
22.3%
강원특별자치도 22
21.4%
삼화동 6
 
5.8%
묵호진동 5
 
4.9%
추암동 3
 
2.9%
1 3
 
2.9%
망상동 3
 
2.9%
구미동 2
 
1.9%
천곡동 2
 
1.9%
393-19 1
 
1.0%
Other values (33) 33
32.0%
2023-12-13T01:20:14.961136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
14.4%
동 48
 
8.6%
해 25
 
4.5%
시 24
 
4.3%
강 24
 
4.3%
별 23
 
4.1%
원 23
 
4.1%
치 22
 
3.9%
도 22
 
3.9%
자 22
 
3.9%
Other values (65) 247
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 387
69.0%
Space Separator 81
 
14.4%
Decimal Number 80
 
14.3%
Dash Punctuation 13
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 48
 
12.4%
해 25
 
6.5%
시 24
 
6.2%
강 24
 
6.2%
별 23
 
5.9%
원 23
 
5.9%
치 22
 
5.7%
도 22
 
5.7%
자 22
 
5.7%
특 22
 
5.7%
Other values (53) 132
34.1%
Decimal Number
ValueCountFrequency (%)
1 15
18.8%
3 15
18.8%
2 14
17.5%
9 7
8.8%
8 6
 
7.5%
0 6
 
7.5%
6 5
 
6.2%
5 5
 
6.2%
4 4
 
5.0%
7 3
 
3.8%
Space Separator
ValueCountFrequency (%)
81
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 387
69.0%
Common 174
31.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 48
 
12.4%
해 25
 
6.5%
시 24
 
6.2%
강 24
 
6.2%
별 23
 
5.9%
원 23
 
5.9%
치 22
 
5.7%
도 22
 
5.7%
자 22
 
5.7%
특 22
 
5.7%
Other values (53) 132
34.1%
Common
ValueCountFrequency (%)
81
46.6%
1 15
 
8.6%
3 15
 
8.6%
2 14
 
8.0%
- 13
 
7.5%
9 7
 
4.0%
8 6
 
3.4%
0 6
 
3.4%
6 5
 
2.9%
5 5
 
2.9%
Other values (2) 7
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 387
69.0%
ASCII 174
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
46.6%
1 15
 
8.6%
3 15
 
8.6%
2 14
 
8.0%
- 13
 
7.5%
9 7
 
4.0%
8 6
 
3.4%
0 6
 
3.4%
6 5
 
2.9%
5 5
 
2.9%
Other values (2) 7
 
4.0%
Hangul
ValueCountFrequency (%)
동 48
 
12.4%
해 25
 
6.5%
시 24
 
6.2%
강 24
 
6.2%
별 23
 
5.9%
원 23
 
5.9%
치 22
 
5.7%
도 22
 
5.7%
자 22
 
5.7%
특 22
 
5.7%
Other values (53) 132
34.1%

전화번호
Text

Distinct15
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-13T01:20:15.138047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters276
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)43.5%

Sample

1st row033-530-2800
2nd row033-539-3600
3rd row033-530-2801
4th row033-530-2801
5th row033-539-3700
ValueCountFrequency (%)
033-539-3700 4
17.4%
033-530-2231 3
13.0%
033-530-2801 2
 
8.7%
033-522-1141 2
 
8.7%
033-534-6955 2
 
8.7%
033-530-2800 1
 
4.3%
033-539-3600 1
 
4.3%
033-539-3630 1
 
4.3%
033-531-3258 1
 
4.3%
033-535-1414 1
 
4.3%
Other values (5) 5
21.7%
2023-12-13T01:20:15.474245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 82
29.7%
0 48
17.4%
- 46
16.7%
5 29
 
10.5%
1 21
 
7.6%
2 18
 
6.5%
9 10
 
3.6%
8 7
 
2.5%
4 6
 
2.2%
6 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 230
83.3%
Dash Punctuation 46
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 82
35.7%
0 48
20.9%
5 29
 
12.6%
1 21
 
9.1%
2 18
 
7.8%
9 10
 
4.3%
8 7
 
3.0%
4 6
 
2.6%
6 5
 
2.2%
7 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 82
29.7%
0 48
17.4%
- 46
16.7%
5 29
 
10.5%
1 21
 
7.6%
2 18
 
6.5%
9 10
 
3.6%
8 7
 
2.5%
4 6
 
2.2%
6 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 82
29.7%
0 48
17.4%
- 46
16.7%
5 29
 
10.5%
1 21
 
7.6%
2 18
 
6.5%
9 10
 
3.6%
8 7
 
2.5%
4 6
 
2.2%
6 5
 
1.8%

경도
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.09375
Minimum129.01451
Maximum129.1592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T01:20:15.619717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01451
5-th percentile129.015
Q1129.05129
median129.11048
Q3129.12271
95-th percentile129.15911
Maximum129.1592
Range0.1446852
Interquartile range (IQR)0.0714179

Descriptive statistics

Standard deviation0.049170392
Coefficient of variation (CV)0.00038088903
Kurtosis-1.0923084
Mean129.09375
Median Absolute Deviation (MAD)0.0319233
Skewness-0.47315308
Sum2969.1562
Variance0.0024177275
MonotonicityNot monotonic
2023-12-13T01:20:15.759412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
129.1591975 2
 
8.7%
129.0145123 2
 
8.7%
129.0896915 1
 
4.3%
129.1152027 1
 
4.3%
129.026796 1
 
4.3%
129.12035 1
 
4.3%
129.11965 1
 
4.3%
129.0923204 1
 
4.3%
129.0712683 1
 
4.3%
129.1424034 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
129.0145123 2
8.7%
129.0193942 1
4.3%
129.0265624 1
4.3%
129.026796 1
4.3%
129.0313086 1
4.3%
129.0712683 1
4.3%
129.0784636 1
4.3%
129.0896915 1
4.3%
129.0923204 1
4.3%
129.1085675 1
4.3%
ValueCountFrequency (%)
129.1591975 2
8.7%
129.1583016 1
4.3%
129.1424034 1
4.3%
129.1366706 1
4.3%
129.1250627 1
4.3%
129.12035 1
4.3%
129.11965 1
4.3%
129.1184699 1
4.3%
129.1177884 1
4.3%
129.1152027 1
4.3%

위도
Real number (ℝ)

Distinct21
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.514568
Minimum37.46347
Maximum37.600426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2023-12-13T01:20:15.887017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.46347
5-th percentile37.463575
Q137.477092
median37.491609
Q337.553126
95-th percentile37.592185
Maximum37.600426
Range0.13695613
Interquartile range (IQR)0.076034315

Descriptive statistics

Standard deviation0.047060132
Coefficient of variation (CV)0.0012544495
Kurtosis-1.2523293
Mean37.514568
Median Absolute Deviation (MAD)0.02803421
Skewness0.47418756
Sum862.83507
Variance0.0022146561
MonotonicityNot monotonic
2023-12-13T01:20:16.027400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.47709157 2
 
8.7%
37.46357478 2
 
8.7%
37.59224924 1
 
4.3%
37.55203177 1
 
4.3%
37.478188 1
 
4.3%
37.55422 1
 
4.3%
37.55489 1
 
4.3%
37.5916032 1
 
4.3%
37.52198383 1
 
4.3%
37.49160899 1
 
4.3%
Other values (11) 11
47.8%
ValueCountFrequency (%)
37.46346963 1
4.3%
37.46357478 2
8.7%
37.46439866 1
4.3%
37.46510515 1
4.3%
37.47709157 2
8.7%
37.478188 1
4.3%
37.47837985 1
4.3%
37.48372927 1
4.3%
37.48716814 1
4.3%
37.49160899 1
4.3%
ValueCountFrequency (%)
37.60042576 1
4.3%
37.59224924 1
4.3%
37.5916032 1
4.3%
37.55489 1
4.3%
37.55483008 1
4.3%
37.55422 1
4.3%
37.55203177 1
4.3%
37.55104912 1
4.3%
37.55088099 1
4.3%
37.52198383 1
4.3%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2023-12-06
23 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-06
2nd row2023-12-06
3rd row2023-12-06
4th row2023-12-06
5th row2023-12-06

Common Values

ValueCountFrequency (%)
2023-12-06 23
100.0%

Length

2023-12-13T01:20:16.154397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:20:16.234828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-06 23
100.0%

Interactions

2023-12-13T01:20:12.805741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:20:12.601874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:20:12.906462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:20:12.707614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:20:16.580024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관광명소명도로명주소지번주소전화번호경도위도
관광명소명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0000.9661.0001.000
지번주소1.0001.0001.0000.9661.0001.000
전화번호1.0000.9660.9661.0000.9280.730
경도1.0001.0001.0000.9281.0000.810
위도1.0001.0001.0000.7300.8101.000
2023-12-13T01:20:16.702919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경도위도
경도1.0000.256
위도0.2561.000

Missing values

2023-12-13T01:20:13.059536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:20:13.182545image/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

관광명소명도로명주소지번주소전화번호경도위도기준일자
0망상해수욕장강원특별자치도 동해시 동해대로 6270-10강원특별자치도 동해시 망상동 393-100 망상종합관광안내소033-530-2800129.08969137.5922492023-12-06
1망상오토캠핑리조트&망상해변한옥마을[해안]강원특별자치도 동해시 동해대로 6370강원특별자치도 동해시 망상동 393-39 망상오토캠핑리조트033-539-3600129.07846437.6004262023-12-06
2추암촛대바위(추암해수욕장)강원특별자치도 동해시 촛대바위길 6강원특별자치도 동해시 추암동 1 추암관광안내소033-530-2801129.15830237.478382023-12-06
3추암오토캠핑장강원특별자치도 동해시 촛대바위길 28강원특별자치도 동해시 추암동 1033-530-2801129.15919837.4770922023-12-06
4무릉계곡강원특별자치도 동해시 삼화로 538강원특별자치도 동해시 삼화동 859 무릉계곡관리사무소033-539-3700129.01939437.463472023-12-06
5천곡황금박쥐동굴강원특별자치도 동해시 동굴로 50강원특별자치도 동해시 천곡동 1003 천곡천연동굴033-539-3630129.1104837.5175212023-12-06
6묵호등대강원특별자치도 동해시 해맞이길 289강원특별자치도 동해시 묵호진동 2-215 묵호항로표지관리소033-531-3258129.1184737.554832023-12-06
7논골담길강원특별자치도 동해시 일출로 97강원특별자치도 동해시 묵호진동 2-284033-535-1414129.11778837.5508812023-12-06
8동해무릉건강숲강원특별자치도 동해시 삼화로 455강원특별자치도 동해시 삼화동 861 동해무릉건강숲033-530-2391129.03130937.4651052023-12-06
9무릉계곡 힐링캠프장강원특별자치도 동해시 삼화로 467강원특별자치도 동해시 삼화동 858-10033-539-3700129.02656237.4643992023-12-06
관광명소명도로명주소지번주소전화번호경도위도기준일자
13촛대바위강원특별자치도 동해시 촛대바위길 28강원특별자치도 동해시 추암동 1033-522-1141129.15919837.4770922023-12-06
14용추폭포강원특별자치도 동해시 삼화동 산267강원특별자치도 동해시 삼화동 산267033-539-3700129.01451237.4635752023-12-06
15무릉반석강원특별자치도 동해시 삼화동 산267-3강원특별자치도 동해시 삼화동 산267-3033-539-3700129.01451237.4635752023-12-06
16만경대강원특별자치도 동해시 구미동 산53강원특별자치도 동해시 구미동 산53033-530-2231129.13667137.4871682023-12-06
17호해정,할미바위강원특별자치도 동해시 구미동 산1강원특별자치도 동해시 구미동 산1033-530-2231129.14240337.4916092023-12-06
18초록봉강원특별자치도 동해시 천곡동 산342-24강원특별자치도 동해시 천곡동 산342-24033-530-2231129.07126837.5219842023-12-06
19망상제2오토캠핑장강원특별자치도 동해시 동해대로 6270-14강원특별자치도 동해시 망상동 393-19 망상제2오토캠핑장033-539-3618129.0923237.5916032023-12-06
20도째비골 스카이밸리강원특별자치도 동해시 묵호진동 2-109강원특별자치도 동해시 묵호진동 2-109033-534-6955129.1196537.554892023-12-06
21도째비골 해랑전망대강원특별자치도 동해시 묵호진동 13-48강원특별자치도 동해시 묵호진동 13-48033-534-6955129.1203537.554222023-12-06
22무릉별유천지강원 동해시 이기로 97 무릉별유천지 2주차장강원 동해시 삼화동 762-6 무릉별유천지 2주차장033-533-0101129.02679637.4781882023-12-06