Overview

Dataset statistics

Number of variables8
Number of observations65
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory68.0 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description제주특별자치도 서귀포시 관내 착한가격업소에 대한 업종, 업소명, 주소, 지번주소, 위도, 경도 정보 및 찾기를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15000484/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
연락처 has 4 (6.2%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:15:06.120514
Analysis finished2023-12-12 20:15:07.216393
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct7
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size652.0 B
한식
37 
이미용업
10 
숙박업
9 
기타
4 
중식
 
3
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.4769231
Min length2

Unique

Unique2 ?
Unique (%)3.1%

Sample

1st row한식
2nd row한식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 37
56.9%
이미용업 10
 
15.4%
숙박업 9
 
13.8%
기타 4
 
6.2%
중식 3
 
4.6%
세탁업 1
 
1.5%
목욕업 1
 
1.5%

Length

2023-12-13T05:15:07.324420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:15:07.490548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 37
56.9%
이미용업 10
 
15.4%
숙박업 9
 
13.8%
기타 4
 
6.2%
중식 3
 
4.6%
세탁업 1
 
1.5%
목욕업 1
 
1.5%

업소명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T05:15:07.784201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.1846154
Min length2

Characters and Unicode

Total characters337
Distinct characters172
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

Unique65 ?
Unique (%)100.0%

Sample

1st row해바라기
2nd row킹마트분식
3rd row삼겹살파티
4th row고성장터국밥
5th row백년손님
ValueCountFrequency (%)
해바라기 1
 
1.5%
서울불고기 1
 
1.5%
은서헤어 1
 
1.5%
돈하르방 1
 
1.5%
인순이미용실 1
 
1.5%
미미가헤어샵 1
 
1.5%
신선국수 1
 
1.5%
제주제일밀면 1
 
1.5%
밥의정석 1
 
1.5%
킹마트분식 1
 
1.5%
Other values (58) 58
85.3%
2023-12-13T05:15:08.419747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
당 12
 
3.6%
식 11
 
3.3%
원 7
 
2.1%
용 7
 
2.1%
이 6
 
1.8%
국 6
 
1.8%
미 6
 
1.8%
바 5
 
1.5%
화 5
 
1.5%
스 5
 
1.5%
Other values (162) 267
79.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 334
99.1%
Space Separator 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 12
 
3.6%
식 11
 
3.3%
원 7
 
2.1%
용 7
 
2.1%
이 6
 
1.8%
국 6
 
1.8%
미 6
 
1.8%
바 5
 
1.5%
화 5
 
1.5%
스 5
 
1.5%
Other values (161) 264
79.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 334
99.1%
Common 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 12
 
3.6%
식 11
 
3.3%
원 7
 
2.1%
용 7
 
2.1%
이 6
 
1.8%
국 6
 
1.8%
미 6
 
1.8%
바 5
 
1.5%
화 5
 
1.5%
스 5
 
1.5%
Other values (161) 264
79.0%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 334
99.1%
ASCII 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
당 12
 
3.6%
식 11
 
3.3%
원 7
 
2.1%
용 7
 
2.1%
이 6
 
1.8%
국 6
 
1.8%
미 6
 
1.8%
바 5
 
1.5%
화 5
 
1.5%
스 5
 
1.5%
Other values (161) 264
79.0%
ASCII
ValueCountFrequency (%)
3
100.0%

주소
Text

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T05:15:08.826382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length22.8
Min length18

Characters and Unicode

Total characters1482
Distinct characters89
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

Unique63 ?
Unique (%)96.9%

Sample

1st row제주특별자치도 서귀포시 남원읍 한신로 280
2nd row제주특별자치도 서귀포시 천제연로 154-1
3rd row제주특별자치도 서귀포시 문부로 4
4th row제주특별자치도 서귀포시 성산읍 고성동서로45번길 19
5th row제주특별자치도 서귀포시 성산읍 금백조로 114
ValueCountFrequency (%)
제주특별자치도 65
23.0%
서귀포시 65
23.0%
성산읍 8
 
2.8%
중앙로 6
 
2.1%
남원읍 4
 
1.4%
4 4
 
1.4%
일주동로 4
 
1.4%
안덕면 3
 
1.1%
33 2
 
0.7%
17 2
 
0.7%
Other values (108) 119
42.2%
2023-12-13T05:15:09.412177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
218
 
14.7%
서 74
 
5.0%
주 69
 
4.7%
제 67
 
4.5%
포 66
 
4.5%
도 66
 
4.5%
로 65
 
4.4%
귀 65
 
4.4%
시 65
 
4.4%
치 65
 
4.4%
Other values (79) 662
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1042
70.3%
Space Separator 218
 
14.7%
Decimal Number 207
 
14.0%
Dash Punctuation 15
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 74
 
7.1%
주 69
 
6.6%
제 67
 
6.4%
포 66
 
6.3%
도 66
 
6.3%
로 65
 
6.2%
귀 65
 
6.2%
시 65
 
6.2%
치 65
 
6.2%
자 65
 
6.2%
Other values (67) 375
36.0%
Decimal Number
ValueCountFrequency (%)
1 42
20.3%
4 27
13.0%
2 25
12.1%
3 24
11.6%
6 17
8.2%
8 17
8.2%
7 16
 
7.7%
0 15
 
7.2%
5 13
 
6.3%
9 11
 
5.3%
Space Separator
ValueCountFrequency (%)
218
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1042
70.3%
Common 440
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 74
 
7.1%
주 69
 
6.6%
제 67
 
6.4%
포 66
 
6.3%
도 66
 
6.3%
로 65
 
6.2%
귀 65
 
6.2%
시 65
 
6.2%
치 65
 
6.2%
자 65
 
6.2%
Other values (67) 375
36.0%
Common
ValueCountFrequency (%)
218
49.5%
1 42
 
9.5%
4 27
 
6.1%
2 25
 
5.7%
3 24
 
5.5%
6 17
 
3.9%
8 17
 
3.9%
7 16
 
3.6%
- 15
 
3.4%
0 15
 
3.4%
Other values (2) 24
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1042
70.3%
ASCII 440
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
218
49.5%
1 42
 
9.5%
4 27
 
6.1%
2 25
 
5.7%
3 24
 
5.5%
6 17
 
3.9%
8 17
 
3.9%
7 16
 
3.6%
- 15
 
3.4%
0 15
 
3.4%
Other values (2) 24
 
5.5%
Hangul
ValueCountFrequency (%)
서 74
 
7.1%
주 69
 
6.6%
제 67
 
6.4%
포 66
 
6.3%
도 66
 
6.3%
로 65
 
6.2%
귀 65
 
6.2%
시 65
 
6.2%
치 65
 
6.2%
자 65
 
6.2%
Other values (67) 375
36.0%

연락처
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing4
Missing (%)6.2%
Memory size652.0 B
2023-12-13T05:15:09.709165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.295082
Min length12

Characters and Unicode

Total characters750
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)100.0%

Sample

1st row0507-1305-9909
2nd row064-738-3985
3rd row064-732-3077
4th row064-783-3233
5th row064-783-3456
ValueCountFrequency (%)
064-763-2777 1
 
1.6%
064-733-0786 1
 
1.6%
064-764-4071 1
 
1.6%
064-794-8884 1
 
1.6%
064-794-0254 1
 
1.6%
0507-1494-6100 1
 
1.6%
064-733-5403 1
 
1.6%
064-762-5300 1
 
1.6%
064-732-3252 1
 
1.6%
064-767-4110 1
 
1.6%
Other values (51) 51
83.6%
2023-12-13T05:15:10.547750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 122
16.3%
0 104
13.9%
4 89
11.9%
6 88
11.7%
7 86
11.5%
3 74
9.9%
2 49
6.5%
8 38
 
5.1%
5 35
 
4.7%
1 33
 
4.4%
Other values (2) 32
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 626
83.5%
Dash Punctuation 122
 
16.3%
Control 2
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 104
16.6%
4 89
14.2%
6 88
14.1%
7 86
13.7%
3 74
11.8%
2 49
7.8%
8 38
 
6.1%
5 35
 
5.6%
1 33
 
5.3%
9 30
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Control
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 122
16.3%
0 104
13.9%
4 89
11.9%
6 88
11.7%
7 86
11.5%
3 74
9.9%
2 49
6.5%
8 38
 
5.1%
5 35
 
4.7%
1 33
 
4.4%
Other values (2) 32
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 122
16.3%
0 104
13.9%
4 89
11.9%
6 88
11.7%
7 86
11.5%
3 74
9.9%
2 49
6.5%
8 38
 
5.1%
5 35
 
4.7%
1 33
 
4.4%
Other values (2) 32
 
4.3%

휴무일
Categorical

Distinct21
Distinct (%)32.3%
Missing0
Missing (%)0.0%
Memory size652.0 B
연중무휴
26 
매주 일요일
11 
매주 월요일
5 
매주 화요일
4 
매주 수요일
3 
Other values (16)
16 

Length

Max length25
Median length23
Mean length6.6615385
Min length2

Unique

Unique16 ?
Unique (%)24.6%

Sample

1st row매주 목요일
2nd row없음
3rd row매주 수요일
4th row설 당일+추석 당일
5th row매주 목요일+추석 당일

Common Values

ValueCountFrequency (%)
연중무휴 26
40.0%
매주 일요일 11
16.9%
매주 월요일 5
 
7.7%
매주 화요일 4
 
6.2%
매주 수요일 3
 
4.6%
매달 첫째 일요일+매달 셋째 일요일 1
 
1.5%
설 당일+추석 당일 1
 
1.5%
매주 목요일+추석 당일 1
 
1.5%
매달 첫째 화요일+매달 셋째 화요일 1
 
1.5%
매달 둘째 일요일+매달 넷째 일요일 1
 
1.5%
Other values (11) 11
16.9%

Length

2023-12-13T05:15:10.760254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매주 29
24.0%
연중무휴 26
21.5%
일요일 13
10.7%
월요일 6
 
5.0%
화요일 5
 
4.1%
매달 5
 
4.1%
주 4
 
3.3%
당일 3
 
2.5%
수요일 3
 
2.5%
첫째 3
 
2.5%
Other values (20) 24
19.8%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.281111
Minimum33.221355
Maximum33.467161
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T05:15:10.904328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.221355
5-th percentile33.236684
Q133.249058
median33.254005
Q333.266521
95-th percentile33.459281
Maximum33.467161
Range0.24580676
Interquartile range (IQR)0.01746294

Descriptive statistics

Standard deviation0.067894239
Coefficient of variation (CV)0.0020400232
Kurtosis2.8123535
Mean33.281111
Median Absolute Deviation (MAD)0.00660238
Skewness2.0688281
Sum2163.2722
Variance0.0046096277
MonotonicityNot monotonic
2023-12-13T05:15:11.083197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.26652134 2
 
3.1%
33.31234998 1
 
1.5%
33.25115557 1
 
1.5%
33.24122032 1
 
1.5%
33.24175513 1
 
1.5%
33.2414238 1
 
1.5%
33.25267507 1
 
1.5%
33.26075975 1
 
1.5%
33.26191758 1
 
1.5%
33.25232232 1
 
1.5%
Other values (54) 54
83.1%
ValueCountFrequency (%)
33.2213546 1
1.5%
33.22218397 1
1.5%
33.23374785 1
1.5%
33.23554988 1
1.5%
33.24122032 1
1.5%
33.2414238 1
1.5%
33.24175513 1
1.5%
33.24449982 1
1.5%
33.24492917 1
1.5%
33.24525369 1
1.5%
ValueCountFrequency (%)
33.46716136 1
1.5%
33.46289114 1
1.5%
33.46271717 1
1.5%
33.46108154 1
1.5%
33.45208057 1
1.5%
33.45031305 1
1.5%
33.43863714 1
1.5%
33.43623104 1
1.5%
33.32864834 1
1.5%
33.32493371 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59126
Minimum126.25368
Maximum126.93357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T05:15:11.260781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25368
5-th percentile126.33407
Q1126.52742
median126.56323
Q3126.59487
95-th percentile126.92933
Maximum126.93357
Range0.6798887
Interquartile range (IQR)0.0674449

Descriptive statistics

Standard deviation0.16002267
Coefficient of variation (CV)0.0012640894
Kurtosis0.56271991
Mean126.59126
Median Absolute Deviation (MAD)0.0358066
Skewness0.62550826
Sum8228.432
Variance0.025607255
MonotonicityNot monotonic
2023-12-13T05:15:11.419759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5732903 2
 
3.1%
126.7200352 1
 
1.5%
126.5651526 1
 
1.5%
126.3335729 1
 
1.5%
126.6027095 1
 
1.5%
126.565644 1
 
1.5%
126.5593223 1
 
1.5%
126.6130534 1
 
1.5%
126.5617465 1
 
1.5%
126.5717437 1
 
1.5%
Other values (54) 54
83.1%
ValueCountFrequency (%)
126.2536828 1
1.5%
126.2549643 1
1.5%
126.3306798 1
1.5%
126.3335729 1
1.5%
126.3360565 1
1.5%
126.4111208 1
1.5%
126.4211939 1
1.5%
126.4239641 1
1.5%
126.4277372 1
1.5%
126.4794164 1
1.5%
ValueCountFrequency (%)
126.9335715 1
1.5%
126.933259 1
1.5%
126.9331308 1
1.5%
126.9314379 1
1.5%
126.9208843 1
1.5%
126.9123863 1
1.5%
126.9083302 1
1.5%
126.8610204 1
1.5%
126.8379986 1
1.5%
126.7977088 1
1.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-10-26
65 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-26
2nd row2023-10-26
3rd row2023-10-26
4th row2023-10-26
5th row2023-10-26

Common Values

ValueCountFrequency (%)
2023-10-26 65
100.0%

Length

2023-12-13T05:15:11.574586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:15:11.679284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-26 65
100.0%

Interactions

2023-12-13T05:15:06.774834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:15:06.556583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:15:06.859288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:15:06.673985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:15:11.748495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종업소명주소연락처휴무일위도경도
업종1.0001.0001.0001.0000.7660.2830.475
업소명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0000.8751.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
휴무일0.7661.0000.8751.0001.0000.8170.388
위도0.2831.0001.0001.0000.8171.0000.843
경도0.4751.0001.0001.0000.3880.8431.000
2023-12-13T05:15:11.868360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
휴무일업종
휴무일1.0000.345
업종0.3451.000
2023-12-13T05:15:11.963572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종휴무일
위도1.0000.6420.0940.396
경도0.6421.0000.2660.122
업종0.0940.2661.0000.345
휴무일0.3960.1220.3451.000

Missing values

2023-12-13T05:15:06.997921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:15:07.153734image/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

업종업소명주소연락처휴무일위도경도데이터기준일자
0한식해바라기제주특별자치도 서귀포시 남원읍 한신로 2800507-1305-9909매주 목요일33.31235126.7200352023-10-26
1한식킹마트분식제주특별자치도 서귀포시 천제연로 154-1064-738-3985없음33.25239126.4211942023-10-26
2한식삼겹살파티제주특별자치도 서귀포시 문부로 4064-732-3077매주 수요일33.251877126.5681712023-10-26
3한식고성장터국밥제주특별자치도 서귀포시 성산읍 고성동서로45번길 19064-783-3233설 당일+추석 당일33.452081126.9123862023-10-26
4한식백년손님제주특별자치도 서귀포시 성산읍 금백조로 114064-783-3456매주 목요일+추석 당일33.438637126.861022023-10-26
5한식생원전복제주특별자치도 서귀포시 안덕면 산방로 7064-792-2109매주 화요일33.245866126.330682023-10-26
6한식한아름식당제주특별자치도 서귀포시 표선면 세성로 265064-787-5403연중무휴33.328648126.7977092023-10-26
7한식새서울두루치기제주특별자치도 서귀포시 태평로 406064-732-4211매달 첫째 화요일+매달 셋째 화요일33.2445126.5636432023-10-26
8한식한동네제주특별자치도 서귀포시 동부로 4064-732-4573매주 일요일33.245254126.5699922023-10-26
9한식목화백화점 뽕뽕스넥제주특별자치도 서귀포시 중앙로42번길 32064-733-6639매달 둘째 일요일+매달 넷째 일요일33.249058126.5650392023-10-26
업종업소명주소연락처휴무일위도경도데이터기준일자
55기타꿀맛제주특별자치도 서귀포시 막숙포로95<NA>연중무휴33.233748126.5123522023-10-26
56한식남원콩나물국밥제주특별자치도 서귀포시 남원읍 일주동로 71470507-1388-7971매달 둘째 주 월요일+넷째 주 월요일+추석당일33.282473126.7166012023-10-26
57기타투빅커피제주특별자치도 서귀포시 남원읍 태위로 684064-764-1132연중무휴33.27915126.7196232023-10-26
58숙박업낯선하루제주특별자치도 서귀포시 성산읍 신양로122번길 30-8<NA>연중무휴33.436231126.9208842023-10-26
59숙박업성산에 오거들랑제주특별자치도 서귀포시 성산읍 고성동서로 13-7064-784-2692연중무휴33.450313126.908332023-10-26
60한식부전식당제주특별자치도 서귀포시 성산읍 성산중앙로 36064-782-1033매달 첫째 주 월요일+매달 셋째 주 월요일33.462891126.9332592023-10-26
61한식해오름식당제주특별자치도 서귀포시 성산읍 일출로 260064-782-2256연중무휴33.461082126.9335712023-10-26
62숙박업블루클리프제주특별자치도 서귀포시 민속해안로 633-60507-1494-7782연중무휴33.324934126.8379992023-10-26
63숙박업슬로시티게스트하우스제주특별자치도 서귀포시 천지로 33064-732-1286연중무휴33.250613126.5603432023-10-26
64기타낭만팥집제주특별자치도 서귀포시 동홍서로 96번길 170507-1404-9625월요일+화요일33.257431126.5714032023-10-26