Overview

Dataset statistics

Number of variables8
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory67.8 B

Variable types

Categorical1
Text3
DateTime2
Numeric2

Dataset

Description제주특별자치도 서귀포시에서 지정한 안전인증지정민박에 관한 데이터로 상호명, 소재지, 위도, 경도 정보를 제공합니다.
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056410/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
읍면동 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
지정번호 has unique valuesUnique
민박명 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:24:16.453896
Analysis finished2024-04-21 01:24:18.790432
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size708.0 B
동지역
24 
남원읍
18 
안덕면
12 
성산읍
11 
표선면
6 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.4%

Sample

1st row남원읍
2nd row남원읍
3rd row남원읍
4th row남원읍
5th row성산읍

Common Values

ValueCountFrequency (%)
동지역 24
33.3%
남원읍 18
25.0%
안덕면 12
16.7%
성산읍 11
15.3%
표선면 6
 
8.3%
대정읍 1
 
1.4%

Length

2024-04-21T10:24:18.848041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:24:18.953857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동지역 24
33.3%
남원읍 18
25.0%
안덕면 12
16.7%
성산읍 11
15.3%
표선면 6
 
8.3%
대정읍 1
 
1.4%

지정번호
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-04-21T10:24:19.183855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9027778
Min length8

Characters and Unicode

Total characters641
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row제2020-08호
2nd row제2020-09호
3rd row제2020-10호
4th row제2020-11호
5th row제2020-12호
ValueCountFrequency (%)
제2020-08호 1
 
1.4%
제2020-09호 1
 
1.4%
제2023-11호 1
 
1.4%
제2023-10호 1
 
1.4%
제2023-09호 1
 
1.4%
제2023-7호 1
 
1.4%
제2023-6호 1
 
1.4%
제2023-5호 1
 
1.4%
제2023-12호 1
 
1.4%
제2023-4호 1
 
1.4%
Other values (62) 62
86.1%
2024-04-21T10:24:19.525500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 180
28.1%
0 114
17.8%
제 72
 
11.2%
- 72
 
11.2%
호 72
 
11.2%
3 49
 
7.6%
1 27
 
4.2%
4 20
 
3.1%
6 10
 
1.6%
5 9
 
1.4%
Other values (3) 16
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 425
66.3%
Other Letter 144
 
22.5%
Dash Punctuation 72
 
11.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 180
42.4%
0 114
26.8%
3 49
 
11.5%
1 27
 
6.4%
4 20
 
4.7%
6 10
 
2.4%
5 9
 
2.1%
9 6
 
1.4%
8 5
 
1.2%
7 5
 
1.2%
Other Letter
ValueCountFrequency (%)
제 72
50.0%
호 72
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 497
77.5%
Hangul 144
 
22.5%

Most frequent character per script

Common
ValueCountFrequency (%)
2 180
36.2%
0 114
22.9%
- 72
 
14.5%
3 49
 
9.9%
1 27
 
5.4%
4 20
 
4.0%
6 10
 
2.0%
5 9
 
1.8%
9 6
 
1.2%
8 5
 
1.0%
Hangul
ValueCountFrequency (%)
제 72
50.0%
호 72
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 497
77.5%
Hangul 144
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 180
36.2%
0 114
22.9%
- 72
 
14.5%
3 49
 
9.9%
1 27
 
5.4%
4 20
 
4.0%
6 10
 
2.0%
5 9
 
1.8%
9 6
 
1.2%
8 5
 
1.0%
Hangul
ValueCountFrequency (%)
제 72
50.0%
호 72
50.0%

지정일자
Date

Distinct33
Distinct (%)45.8%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2020-04-21 00:00:00
Maximum2024-03-28 00:00:00
2024-04-21T10:24:19.645320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:24:19.748558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

민박명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-04-21T10:24:19.989543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length5.4861111
Min length2

Characters and Unicode

Total characters395
Distinct characters189
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

Unique72 ?
Unique (%)100.0%

Sample

1st row태흥예술극장
2nd row아름제주
3rd row더빌라스오션
4th row돌담길
5th row돌창고
ValueCountFrequency (%)
바다 2
 
2.1%
스테이 2
 
2.1%
하우스 2
 
2.1%
태흥예술극장 1
 
1.0%
조은 1
 
1.0%
무문스테이 1
 
1.0%
제주도펜션브리아나(briana 1
 
1.0%
스테이애옥 1
 
1.0%
연우네민박 1
 
1.0%
사계화 1
 
1.0%
Other values (84) 84
86.6%
2024-04-21T10:24:20.378276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25
 
6.3%
스 18
 
4.6%
이 14
 
3.5%
우 10
 
2.5%
리 9
 
2.3%
제 9
 
2.3%
주 9
 
2.3%
하 9
 
2.3%
테 7
 
1.8%
아 7
 
1.8%
Other values (179) 278
70.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 332
84.1%
Space Separator 25
 
6.3%
Lowercase Letter 24
 
6.1%
Uppercase Letter 8
 
2.0%
Decimal Number 4
 
1.0%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 18
 
5.4%
이 14
 
4.2%
우 10
 
3.0%
리 9
 
2.7%
제 9
 
2.7%
주 9
 
2.7%
하 9
 
2.7%
테 7
 
2.1%
아 7
 
2.1%
도 6
 
1.8%
Other values (150) 234
70.5%
Lowercase Letter
ValueCountFrequency (%)
n 3
12.5%
a 3
12.5%
i 2
 
8.3%
o 2
 
8.3%
b 2
 
8.3%
e 2
 
8.3%
y 2
 
8.3%
z 1
 
4.2%
r 1
 
4.2%
h 1
 
4.2%
Other values (5) 5
20.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
K 1
12.5%
N 1
12.5%
O 1
12.5%
T 1
12.5%
L 1
12.5%
D 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 1
25.0%
5 1
25.0%
2 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 332
84.1%
Latin 32
 
8.1%
Common 31
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 18
 
5.4%
이 14
 
4.2%
우 10
 
3.0%
리 9
 
2.7%
제 9
 
2.7%
주 9
 
2.7%
하 9
 
2.7%
테 7
 
2.1%
아 7
 
2.1%
도 6
 
1.8%
Other values (150) 234
70.5%
Latin
ValueCountFrequency (%)
n 3
 
9.4%
a 3
 
9.4%
B 2
 
6.2%
i 2
 
6.2%
o 2
 
6.2%
b 2
 
6.2%
e 2
 
6.2%
y 2
 
6.2%
K 1
 
3.1%
z 1
 
3.1%
Other values (12) 12
37.5%
Common
ValueCountFrequency (%)
25
80.6%
) 1
 
3.2%
( 1
 
3.2%
0 1
 
3.2%
5 1
 
3.2%
2 1
 
3.2%
1 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 332
84.1%
ASCII 63
 
15.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25
39.7%
n 3
 
4.8%
a 3
 
4.8%
B 2
 
3.2%
i 2
 
3.2%
o 2
 
3.2%
b 2
 
3.2%
e 2
 
3.2%
y 2
 
3.2%
K 1
 
1.6%
Other values (19) 19
30.2%
Hangul
ValueCountFrequency (%)
스 18
 
5.4%
이 14
 
4.2%
우 10
 
3.0%
리 9
 
2.7%
제 9
 
2.7%
주 9
 
2.7%
하 9
 
2.7%
테 7
 
2.1%
아 7
 
2.1%
도 6
 
1.8%
Other values (150) 234
70.5%

소재지
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2024-04-21T10:24:20.652813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length24.291667
Min length15

Characters and Unicode

Total characters1749
Distinct characters113
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)100.0%

Sample

1st row제주특별자치도 서귀포시 남원읍 태위로 912번길 28
2nd row제주특별자치도 서귀포시 남원읍 남원해안로 102
3rd row제주특별자치도 서귀포시 남원읍 태신해안로 271
4th row제주특별자치도 서귀포시 남원읍 태위로 67번길 24-15
5th row제주특별자치도 서귀포시 성산읍 풍천로 273번길 82
ValueCountFrequency (%)
서귀포시 72
21.6%
제주특별자치도 50
 
15.0%
남원읍 18
 
5.4%
안덕면 12
 
3.6%
성산읍 11
 
3.3%
태위로 7
 
2.1%
표선면 6
 
1.8%
예래로 4
 
1.2%
사계남로 3
 
0.9%
색달로 3
 
0.9%
Other values (138) 148
44.3%
2024-04-21T10:24:21.060718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
15.0%
포 76
 
4.3%
서 76
 
4.3%
시 74
 
4.2%
귀 72
 
4.1%
로 71
 
4.1%
1 64
 
3.7%
도 53
 
3.0%
주 52
 
3.0%
제 51
 
2.9%
Other values (103) 898
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1151
65.8%
Decimal Number 289
 
16.5%
Space Separator 262
 
15.0%
Dash Punctuation 27
 
1.5%
Close Punctuation 9
 
0.5%
Open Punctuation 9
 
0.5%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 76
 
6.6%
서 76
 
6.6%
시 74
 
6.4%
귀 72
 
6.3%
로 71
 
6.2%
도 53
 
4.6%
주 52
 
4.5%
제 51
 
4.4%
치 50
 
4.3%
자 50
 
4.3%
Other values (87) 526
45.7%
Decimal Number
ValueCountFrequency (%)
1 64
22.1%
2 41
14.2%
0 30
10.4%
3 26
9.0%
8 25
 
8.7%
4 25
 
8.7%
6 22
 
7.6%
7 20
 
6.9%
5 20
 
6.9%
9 16
 
5.5%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
， 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1151
65.8%
Common 597
34.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 76
 
6.6%
서 76
 
6.6%
시 74
 
6.4%
귀 72
 
6.3%
로 71
 
6.2%
도 53
 
4.6%
주 52
 
4.5%
제 51
 
4.4%
치 50
 
4.3%
자 50
 
4.3%
Other values (87) 526
45.7%
Common
ValueCountFrequency (%)
262
43.9%
1 64
 
10.7%
2 41
 
6.9%
0 30
 
5.0%
- 27
 
4.5%
3 26
 
4.4%
8 25
 
4.2%
4 25
 
4.2%
6 22
 
3.7%
7 20
 
3.4%
Other values (5) 55
 
9.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1151
65.8%
ASCII 597
34.1%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
43.9%
1 64
 
10.7%
2 41
 
6.9%
0 30
 
5.0%
- 27
 
4.5%
3 26
 
4.4%
8 25
 
4.2%
4 25
 
4.2%
6 22
 
3.7%
7 20
 
3.4%
Other values (5) 55
 
9.2%
Hangul
ValueCountFrequency (%)
포 76
 
6.6%
서 76
 
6.6%
시 74
 
6.4%
귀 72
 
6.3%
로 71
 
6.2%
도 53
 
4.6%
주 52
 
4.5%
제 51
 
4.4%
치 50
 
4.3%
자 50
 
4.3%
Other values (87) 526
45.7%
None
ValueCountFrequency (%)
， 1
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.292404
Minimum33.227873
Maximum33.46911
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-21T10:24:21.216911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.227873
5-th percentile33.233446
Q133.249549
median33.265748
Q333.31487
95-th percentile33.440574
Maximum33.46911
Range0.24123713
Interquartile range (IQR)0.065320703

Descriptive statistics

Standard deviation0.062122089
Coefficient of variation (CV)0.0018659538
Kurtosis1.4090827
Mean33.292404
Median Absolute Deviation (MAD)0.02369109
Skewness1.4436199
Sum2397.0531
Variance0.0038591539
MonotonicityNot monotonic
2024-04-21T10:24:21.338918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.33592269 3
 
4.2%
33.26293684 2
 
2.8%
33.28432851 1
 
1.4%
33.23085994 1
 
1.4%
33.27280404 1
 
1.4%
33.26629864 1
 
1.4%
33.31052586 1
 
1.4%
33.369585 1
 
1.4%
33.24243149 1
 
1.4%
33.23556242 1
 
1.4%
Other values (59) 59
81.9%
ValueCountFrequency (%)
33.22787262 1
1.4%
33.22809184 1
1.4%
33.22970163 1
1.4%
33.23085994 1
1.4%
33.23556242 1
1.4%
33.2361624 1
1.4%
33.23713996 1
1.4%
33.23761876 1
1.4%
33.2395633 1
1.4%
33.24123015 1
1.4%
ValueCountFrequency (%)
33.46910975 1
1.4%
33.46848993 1
1.4%
33.46091666 1
1.4%
33.45916847 1
1.4%
33.42536071 1
1.4%
33.39635467 1
1.4%
33.38424243 1
1.4%
33.38185674 1
1.4%
33.37182063 1
1.4%
33.369585 1
1.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct69
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.59448
Minimum126.21854
Maximum126.92251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2024-04-21T10:24:21.466017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.21854
5-th percentile126.29792
Q1126.39751
median126.62277
Q3126.77748
95-th percentile126.90885
Maximum126.92251
Range0.7039743
Interquartile range (IQR)0.37996865

Descriptive statistics

Standard deviation0.20747395
Coefficient of variation (CV)0.0016388862
Kurtosis-1.3339565
Mean126.59448
Median Absolute Deviation (MAD)0.1911837
Skewness-0.050555159
Sum9114.8025
Variance0.043045441
MonotonicityNot monotonic
2024-04-21T10:24:21.621569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8104182 3
 
4.2%
126.3965213 2
 
2.8%
126.7447323 1
 
1.4%
126.2979596 1
 
1.4%
126.6911858 1
 
1.4%
126.3006541 1
 
1.4%
126.3587892 1
 
1.4%
126.8684141 1
 
1.4%
126.6051207 1
 
1.4%
126.2890085 1
 
1.4%
Other values (59) 59
81.9%
ValueCountFrequency (%)
126.2185365 1
1.4%
126.2890085 1
1.4%
126.2925759 1
1.4%
126.2978707 1
1.4%
126.2979596 1
1.4%
126.2987968 1
1.4%
126.2997121 1
1.4%
126.3006541 1
1.4%
126.3018905 1
1.4%
126.3070167 1
1.4%
ValueCountFrequency (%)
126.9225108 1
1.4%
126.9207511 1
1.4%
126.9207004 1
1.4%
126.9125975 1
1.4%
126.9057797 1
1.4%
126.8966423 1
1.4%
126.879737 1
1.4%
126.8684141 1
1.4%
126.8511654 1
1.4%
126.8350451 1
1.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size708.0 B
Minimum2024-04-16 00:00:00
Maximum2024-04-16 00:00:00
2024-04-21T10:24:21.719841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:24:21.798381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T10:24:18.440487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:24:18.234453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:24:18.528615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:24:18.357128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:24:21.864331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동지정번호지정일자민박명소재지위도경도
읍면동1.0001.0000.8681.0001.0000.7850.941
지정번호1.0001.0001.0001.0001.0001.0001.000
지정일자0.8681.0001.0001.0001.0000.7260.635
민박명1.0001.0001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
위도0.7851.0000.7261.0001.0001.0000.782
경도0.9411.0000.6351.0001.0000.7821.000
2024-04-21T10:24:21.961055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도읍면동
위도1.0000.8790.519
경도0.8791.0000.822
읍면동0.5190.8221.000

Missing values

2024-04-21T10:24:18.639587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:24:18.744162image/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

읍면동지정번호지정일자민박명소재지위도경도데이터기준일자
0남원읍제2020-08호2020-04-21태흥예술극장제주특별자치도 서귀포시 남원읍 태위로 912번길 2833.284329126.7447322024-04-16
1남원읍제2020-09호2020-04-21아름제주제주특별자치도 서귀포시 남원읍 남원해안로 10233.296783126.6890252024-04-16
2남원읍제2020-10호2020-04-21더빌라스오션제주특별자치도 서귀포시 남원읍 태신해안로 27133.300979126.7706282024-04-16
3남원읍제2020-11호2020-04-21돌담길제주특별자치도 서귀포시 남원읍 태위로 67번길 24-1533.275784126.6560632024-04-16
4성산읍제2020-12호2020-04-21돌창고제주특별자치도 서귀포시 성산읍 풍천로 273번길 8233.363857126.828362024-04-16
5성산읍제2020-13호2020-04-21해뜨는집제주특별자치도 서귀포시 성산읍 한도로 13733.46911126.9225112024-04-16
6성산읍제2020-15호2020-04-21썬시티 게스트하우스제주특별자치도 서귀포시 성산읍 한도로 12033.46849126.92072024-04-16
7성산읍제2020-16호2020-04-21comfy house제주특별자치도 서귀포시 성산읍 난고로 17133.425361126.8966422024-04-16
8성산읍제2020-19호2020-04-21오조리bnb제주특별자치도 서귀포시 성산읍 오조리 4233.460917126.9207512024-04-16
9안덕면제2020-20호2020-04-21자담하우스제주특별자치도 서귀포시 안덕면 사계남로 11133.227873126.301892024-04-16
읍면동지정번호지정일자민박명소재지위도경도데이터기준일자
62남원읍제2023-21호2023-10-25파아란제주서귀포시 남원읍 태위로 61633.277062126.7121932024-04-16
63대정읍제2023-22호2023-11-01바당미술관서귀포시 대정읍 노을해안로 9833.243918126.2185362024-04-16
64표선면제2023-23호2023-11-06지금서귀포시 표선면 가시로 198번길 15033.350656126.8111432024-04-16
65안덕면제2023-24호2023-11-21제주의 사계서귀포시 안덕면 사계남로 10-633.229702126.2925762024-04-16
66성산읍제2023-25호2023-11-30걷다보면 윤노리낭서귀포시 성산읍 성읍정의현로 32번길 42-2033.381857126.8040562024-04-16
67성산읍제2023-26호2023-12-20아이니 하우스서귀포시 성산읍 오조로 41번길 30-133.459168126.9125982024-04-16
68안덕면제2024-01호2024-01-18바람불어 좋은 날서귀포시 안덕면 사계로 6833.23714126.2978712024-04-16
69성산읍제2024-02호2023-03-21우수민박서귀포시 성산읍 환해장성로 437， 제3동33.396355126.905782024-04-16
70안덕면제2024-03호2024-03-25쥬빌리서귀포시 안덕면 소기왓로 84-433.242469126.3693212024-04-16
71남원읍제2024-04호2024-03-28오쇼하우스서귀포시 남원읍 위미중앙로300번길 63-1133.274215126.6804632024-04-16