Overview

Dataset statistics

Number of variables10
Number of observations107
Missing cells7
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.8 KiB
Average record size in memory84.2 B

Variable types

Numeric2
Text4
Categorical1
Boolean3

Dataset

Description제주특별자치도 내 107곳 관광지 대상으로 사회적약자 시설물 보유 현황을 제공하며, 로드뷰 구축 대상 목록을 제공함
Author제주특별자치도
URLhttps://www.data.go.kr/data/15109153/fileData.do

Alerts

관광지 전화번호 has 7 (6.5%) missing valuesMissing
순번 has unique valuesUnique
관광지명 has unique valuesUnique
관광지 영문명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:57:12.330832
Analysis finished2023-12-12 03:57:14.512396
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.794393
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:57:14.617293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.3
Q128.5
median55
Q381.5
95-th percentile102.7
Maximum108
Range107
Interquartile range (IQR)53

Descriptive statistics

Standard deviation31.317829
Coefficient of variation (CV)0.57155171
Kurtosis-1.1913159
Mean54.794393
Median Absolute Deviation (MAD)27
Skewness-0.018956081
Sum5863
Variance980.80638
MonotonicityStrictly increasing
2023-12-12T12:57:14.841582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (97) 97
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

관광지명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T12:57:15.148128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.7009346
Min length3

Characters and Unicode

Total characters824
Distinct characters227
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

Unique107 ?
Unique (%)100.0%

Sample

1st row제주4.3평화공원
2nd row신산공원
3rd row제주문예회관
4th row탑동광장
5th row도두사수항
ValueCountFrequency (%)
제주4.3평화공원 1
 
0.9%
헌마공신김만일기념관 1
 
0.9%
노루생태관찰원(먹이주기 1
 
0.9%
교래자연휴양림(숲속의초가 1
 
0.9%
누웨마루거리 1
 
0.9%
삼무공원 1
 
0.9%
제주문학관 1
 
0.9%
용담레포츠공원 1
 
0.9%
예술공간이아 1
 
0.9%
제주자연생태공원 1
 
0.9%
Other values (99) 99
90.8%
2023-12-12T12:57:15.617944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
4.5%
36
 
4.4%
35
 
4.2%
31
 
3.8%
25
 
3.0%
17
 
2.1%
15
 
1.8%
14
 
1.7%
13
 
1.6%
13
 
1.6%
Other values (217) 588
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 784
95.1%
Close Punctuation 12
 
1.5%
Open Punctuation 12
 
1.5%
Decimal Number 8
 
1.0%
Other Punctuation 5
 
0.6%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
 
4.7%
36
 
4.6%
35
 
4.5%
31
 
4.0%
25
 
3.2%
17
 
2.2%
15
 
1.9%
14
 
1.8%
13
 
1.7%
13
 
1.7%
Other values (208) 548
69.9%
Decimal Number
ValueCountFrequency (%)
0 2
25.0%
1 2
25.0%
4 2
25.0%
3 2
25.0%
Other Punctuation
ValueCountFrequency (%)
, 3
60.0%
. 2
40.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 784
95.1%
Common 40
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
4.7%
36
 
4.6%
35
 
4.5%
31
 
4.0%
25
 
3.2%
17
 
2.2%
15
 
1.9%
14
 
1.8%
13
 
1.7%
13
 
1.7%
Other values (208) 548
69.9%
Common
ValueCountFrequency (%)
) 12
30.0%
( 12
30.0%
3
 
7.5%
, 3
 
7.5%
0 2
 
5.0%
1 2
 
5.0%
4 2
 
5.0%
. 2
 
5.0%
3 2
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 784
95.1%
ASCII 40
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
 
4.7%
36
 
4.6%
35
 
4.5%
31
 
4.0%
25
 
3.2%
17
 
2.2%
15
 
1.9%
14
 
1.8%
13
 
1.7%
13
 
1.7%
Other values (208) 548
69.9%
ASCII
ValueCountFrequency (%)
) 12
30.0%
( 12
30.0%
3
 
7.5%
, 3
 
7.5%
0 2
 
5.0%
1 2
 
5.0%
4 2
 
5.0%
. 2
 
5.0%
3 2
 
5.0%

관광지 영문명
Text

UNIQUE 

Distinct107
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T12:57:15.975011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.1401869
Min length3

Characters and Unicode

Total characters978
Distinct characters30
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique107 ?
Unique (%)100.0%

Sample

1st rowJEJU43PA
2nd rowSHINSANPA
3rd rowJEJUCULTURE
4th rowTAPDONGSQ
5th rowDODUSASUPORT
ValueCountFrequency (%)
jeju43pa 1
 
0.9%
noruexhibit 1
 
0.9%
nuwemaru 1
 
0.9%
sammupa 1
 
0.9%
jejulitermu 1
 
0.9%
leportspa 1
 
0.9%
artspaceiaa 1
 
0.9%
jejunaturepa 1
 
0.9%
seopjikoji 1
 
0.9%
dumoak 1
 
0.9%
Other values (97) 97
90.7%
2023-12-12T12:57:16.916200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
A 110
 
11.2%
E 105
 
10.7%
N 77
 
7.9%
O 72
 
7.4%
U 59
 
6.0%
R 55
 
5.6%
S 52
 
5.3%
I 48
 
4.9%
M 48
 
4.9%
L 47
 
4.8%
Other values (20) 305
31.2%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 970
99.2%
Decimal Number 8
 
0.8%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
A 110
 
11.3%
E 105
 
10.8%
N 77
 
7.9%
O 72
 
7.4%
U 59
 
6.1%
R 55
 
5.7%
S 52
 
5.4%
I 48
 
4.9%
M 48
 
4.9%
L 47
 
4.8%
Other values (16) 297
30.6%
Decimal Number
ValueCountFrequency (%)
4 2
25.0%
3 2
25.0%
1 2
25.0%
0 2
25.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 970
99.2%
Common 8
 
0.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
A 110
 
11.3%
E 105
 
10.8%
N 77
 
7.9%
O 72
 
7.4%
U 59
 
6.1%
R 55
 
5.7%
S 52
 
5.4%
I 48
 
4.9%
M 48
 
4.9%
L 47
 
4.8%
Other values (16) 297
30.6%
Common
ValueCountFrequency (%)
4 2
25.0%
3 2
25.0%
1 2
25.0%
0 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 978
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
A 110
 
11.2%
E 105
 
10.7%
N 77
 
7.9%
O 72
 
7.4%
U 59
 
6.0%
R 55
 
5.6%
S 52
 
5.3%
I 48
 
4.9%
M 48
 
4.9%
L 47
 
4.8%
Other values (20) 305
31.2%
Distinct97
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
2023-12-12T12:57:17.698662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length22.719626
Min length17

Characters and Unicode

Total characters2431
Distinct characters130
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

Unique91 ?
Unique (%)85.0%

Sample

1st row제주특별자치도 제주시 명림로 430
2nd row제주특별자치도 제주시 일도이동 830
3rd row제주특별자치도 제주시 동광로 69
4th row제주특별자치도 제주시 중앙로 2
5th row제주특별자치도 제주시 도두이동 836-7
ValueCountFrequency (%)
제주특별자치도 106
21.9%
제주시 72
 
14.9%
서귀포시 35
 
7.2%
조천읍 10
 
2.1%
남조로 8
 
1.7%
구좌읍 8
 
1.7%
한림읍 6
 
1.2%
2023 5
 
1.0%
한경면 5
 
1.0%
명림로 5
 
1.0%
Other values (179) 223
46.2%
2023-12-12T12:57:18.731157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
377
 
15.5%
182
 
7.5%
182
 
7.5%
111
 
4.6%
108
 
4.4%
107
 
4.4%
106
 
4.4%
106
 
4.4%
106
 
4.4%
78
 
3.2%
Other values (120) 968
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1643
67.6%
Decimal Number 382
 
15.7%
Space Separator 377
 
15.5%
Dash Punctuation 29
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
182
 
11.1%
182
 
11.1%
111
 
6.8%
108
 
6.6%
107
 
6.5%
106
 
6.5%
106
 
6.5%
106
 
6.5%
78
 
4.7%
42
 
2.6%
Other values (108) 515
31.3%
Decimal Number
ValueCountFrequency (%)
2 66
17.3%
1 65
17.0%
3 48
12.6%
0 40
10.5%
4 35
9.2%
7 33
8.6%
8 27
7.1%
5 27
7.1%
6 25
 
6.5%
9 16
 
4.2%
Space Separator
ValueCountFrequency (%)
377
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1643
67.6%
Common 788
32.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
182
 
11.1%
182
 
11.1%
111
 
6.8%
108
 
6.6%
107
 
6.5%
106
 
6.5%
106
 
6.5%
106
 
6.5%
78
 
4.7%
42
 
2.6%
Other values (108) 515
31.3%
Common
ValueCountFrequency (%)
377
47.8%
2 66
 
8.4%
1 65
 
8.2%
3 48
 
6.1%
0 40
 
5.1%
4 35
 
4.4%
7 33
 
4.2%
- 29
 
3.7%
8 27
 
3.4%
5 27
 
3.4%
Other values (2) 41
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1643
67.6%
ASCII 788
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
377
47.8%
2 66
 
8.4%
1 65
 
8.2%
3 48
 
6.1%
0 40
 
5.1%
4 35
 
4.4%
7 33
 
4.2%
- 29
 
3.7%
8 27
 
3.4%
5 27
 
3.4%
Other values (2) 41
 
5.2%
Hangul
ValueCountFrequency (%)
182
 
11.1%
182
 
11.1%
111
 
6.8%
108
 
6.6%
107
 
6.5%
106
 
6.5%
106
 
6.5%
106
 
6.5%
78
 
4.7%
42
 
2.6%
Other values (108) 515
31.3%
Distinct92
Distinct (%)92.0%
Missing7
Missing (%)6.5%
Memory size988.0 B
2023-12-12T12:57:19.067257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.98
Min length9

Characters and Unicode

Total characters1198
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

Unique87 ?
Unique (%)87.0%

Sample

1st row064-723-4352
2nd row064-728-3604
3rd row064-710-7632
4th row064-728-3453
5th row064-728-3918
ValueCountFrequency (%)
064-796-0001 4
 
4.0%
064-710-7731 3
 
3.0%
064-782-9171 2
 
2.0%
064-728-1510 2
 
2.0%
064-728-3611 2
 
2.0%
064-800-9331 1
 
1.0%
064-784-2810 1
 
1.0%
064-783-6047 1
 
1.0%
064-783-7482 1
 
1.0%
064-728-3916 1
 
1.0%
Other values (82) 82
82.0%
2023-12-12T12:57:19.666902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 222
18.5%
- 199
16.6%
6 153
12.8%
4 142
11.9%
7 132
11.0%
1 85
 
7.1%
3 65
 
5.4%
8 62
 
5.2%
2 62
 
5.2%
9 45
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 999
83.4%
Dash Punctuation 199
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 222
22.2%
6 153
15.3%
4 142
14.2%
7 132
13.2%
1 85
 
8.5%
3 65
 
6.5%
8 62
 
6.2%
2 62
 
6.2%
9 45
 
4.5%
5 31
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 199
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 222
18.5%
- 199
16.6%
6 153
12.8%
4 142
11.9%
7 132
11.0%
1 85
 
7.1%
3 65
 
5.4%
8 62
 
5.2%
2 62
 
5.2%
9 45
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 222
18.5%
- 199
16.6%
6 153
12.8%
4 142
11.9%
7 132
11.0%
1 85
 
7.1%
3 65
 
5.4%
8 62
 
5.2%
2 62
 
5.2%
9 45
 
3.8%

장애인 화장실
Real number (ℝ)

Distinct7
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.5514019
Minimum0
Maximum7
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-12T12:57:19.884616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0922855
Coefficient of variation (CV)0.70406355
Kurtosis11.08084
Mean1.5514019
Median Absolute Deviation (MAD)0
Skewness2.9645123
Sum166
Variance1.1930876
MonotonicityNot monotonic
2023-12-12T12:57:20.090772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 70
65.4%
2 24
 
22.4%
3 7
 
6.5%
7 2
 
1.9%
4 2
 
1.9%
0 1
 
0.9%
5 1
 
0.9%
ValueCountFrequency (%)
0 1
 
0.9%
1 70
65.4%
2 24
 
22.4%
3 7
 
6.5%
4 2
 
1.9%
5 1
 
0.9%
7 2
 
1.9%
ValueCountFrequency (%)
7 2
 
1.9%
5 1
 
0.9%
4 2
 
1.9%
3 7
 
6.5%
2 24
 
22.4%
1 70
65.4%
0 1
 
0.9%
Distinct5
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size988.0 B
1
72 
0
17 
2
15 
3
 
2
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row4
2nd row1
3rd row3
4th row3
5th row1

Common Values

ValueCountFrequency (%)
1 72
67.3%
0 17
 
15.9%
2 15
 
14.0%
3 2
 
1.9%
4 1
 
0.9%

Length

2023-12-12T12:57:20.326865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:57:20.527691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
67.3%
0 17
 
15.9%
2 15
 
14.0%
3 2
 
1.9%
4 1
 
0.9%
Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size239.0 B
False
84 
True
23 
ValueCountFrequency (%)
False 84
78.5%
True 23
 
21.5%
2023-12-12T12:57:20.697652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size239.0 B
False
77 
True
30 
ValueCountFrequency (%)
False 77
72.0%
True 30
 
28.0%
2023-12-12T12:57:20.843249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size239.0 B
False
92 
True
15 
ValueCountFrequency (%)
False 92
86.0%
True 15
 
14.0%
2023-12-12T12:57:20.996241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T12:57:13.744186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:13.446994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:13.918875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:57:13.585020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:57:21.162634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번관광지 주소관광지 전화번호장애인 화장실장애인 주차장휠체어 대여 여부관광지 수유실 보유휴게실 보유
순번1.0000.9781.0000.0000.4770.0000.0000.000
관광지 주소0.9781.0001.0000.0000.8430.9070.9590.172
관광지 전화번호1.0001.0001.0000.0000.8560.8600.9570.782
장애인 화장실0.0000.0000.0001.0000.4470.2010.2120.000
장애인 주차장0.4770.8430.8560.4471.0000.1910.2620.184
휠체어 대여 여부0.0000.9070.8600.2010.1911.0000.4430.500
관광지 수유실 보유0.0000.9590.9570.2120.2620.4431.0000.000
휴게실 보유0.0000.1720.7820.0000.1840.5000.0001.000
2023-12-12T12:57:21.372334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장애인 주차장휴게실 보유휠체어 대여 여부관광지 수유실 보유
장애인 주차장1.0000.2210.2290.314
휴게실 보유0.2211.0000.3330.000
휠체어 대여 여부0.2290.3331.0000.292
관광지 수유실 보유0.3140.0000.2921.000
2023-12-12T12:57:21.533262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번장애인 화장실장애인 주차장휠체어 대여 여부관광지 수유실 보유휴게실 보유
순번1.000-0.2020.2100.0000.0000.000
장애인 화장실-0.2021.0000.3020.2080.2200.000
장애인 주차장0.2100.3021.0000.2290.3140.221
휠체어 대여 여부0.0000.2080.2291.0000.2920.333
관광지 수유실 보유0.0000.2200.3140.2921.0000.000
휴게실 보유0.0000.0000.2210.3330.0001.000

Missing values

2023-12-12T12:57:14.146291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:57:14.415622image/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

순번관광지명관광지 영문명관광지 주소관광지 전화번호장애인 화장실장애인 주차장휠체어 대여 여부관광지 수유실 보유휴게실 보유
01제주4.3평화공원JEJU43PA제주특별자치도 제주시 명림로 430064-723-435274YYY
12신산공원SHINSANPA제주특별자치도 제주시 일도이동 830064-728-360431NNN
23제주문예회관JEJUCULTURE제주특별자치도 제주시 동광로 69064-710-763223NYY
34탑동광장TAPDONGSQ제주특별자치도 제주시 중앙로 2064-728-345313NYN
45도두사수항DODUSASUPORT제주특별자치도 제주시 도두이동 836-7<NA>11NNN
56어영공원EOYOUNGPA제주특별자치도 제주시 용담삼동 2396-16<NA>11NNN
67용두암DRAGONHEAD제주특별자치도 제주시 용두암길 15064-728-391811NNN
78용연구름다리산책로GUREUMDARI제주특별자치도 제주시 용담이동 2581<NA>10NNN
89한라수목원HALLAARBOR제주특별자치도 제주시 수목원길 72064-710-757522NNN
910제주삼양동유적SAMYANGRUINS제주특별자치도 제주시 선사로2길 13064-710-680621YYN
순번관광지명관광지 영문명관광지 주소관광지 전화번호장애인 화장실장애인 주차장휠체어 대여 여부관광지 수유실 보유휴게실 보유
9799도두봉둘레길DODUBONG제주특별자치도 제주시 도두일동 산 2064-710-604310NNN
98100삼성혈SAMSUNGHYEOL제주특별자치도 제주시 삼성로 22064-722-331521YYN
99101서귀포자연휴양림SEOGWIFOREST제주특별자치도 서귀포시 1100로 882064-738-454412YNY
1001021100고지습지1100GOJI제주특별자치도 서귀포시 색달동 산 1-2064-728-620011NNN
101103서프라이즈테마파크SURPRISE제주특별자치도 제주시 조천읍 남조로 2243064-783-727211NNN
102104스누피가든SNOOPYGARDEN제주특별자치도 제주시 구좌읍 금백조로 916064-784-093011YYY
103105한림공원(아열대식물원)HALLIMPAGARDEN제주특별자치도 제주시 한림읍 한림로 300064-796-000111YNN
104106한림공원(산야초원)HALLIMPAPASTURE제주특별자치도 제주시 한림읍 협재리 2650064-796-000110NNN
105107한림공원(재암민속마을)HALLIMPAVILLAGE제주특별자치도 제주시 한림읍 한림로 300064-796-000120NNN
106108한림공원(제주석분재원)HALLIMPASTONE제주특별자치도 제주시 한림읍 한림로 300064-796-000110NNN