Overview

Dataset statistics

Number of variables8
Number of observations38
Missing cells6
Missing cells (%)2.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory69.5 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description서귀포시 관내 유원시설업의 구분(종합유원시설업, 일반유원시설업, 기타유원시설업), 상호명, 소재지, 연락처, 위도, 경도, 비고 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15056051/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
비고 is highly imbalanced (66.4%)Imbalance
연락처 has 6 (15.8%) missing valuesMissing
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:06:36.210274
Analysis finished2023-12-12 12:06:37.695137
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size436.0 B
기타유원시설업
20 
일반유원시설업
15 
종합유원시설업
3 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합유원시설업
2nd row종합유원시설업
3rd row종합유원시설업
4th row일반유원시설업
5th row일반유원시설업

Common Values

ValueCountFrequency (%)
기타유원시설업 20
52.6%
일반유원시설업 15
39.5%
종합유원시설업 3
 
7.9%

Length

2023-12-12T21:06:37.797478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:06:37.942730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타유원시설업 20
52.6%
일반유원시설업 15
39.5%
종합유원시설업 3
 
7.9%

상호명
Text

UNIQUE 

Distinct38
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T21:06:38.215663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length8.8421053
Min length3

Characters and Unicode

Total characters336
Distinct characters139
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)100.0%

Sample

1st row신화테마파크
2nd row신화워터파크
3rd row뽀로로&타요 테마파크 제주
4th row㈜대한항공 정석항공관
5th row산방산랜드
ValueCountFrequency (%)
주식회사 3
 
5.2%
서귀포점 3
 
5.2%
키즈카페 2
 
3.4%
리틀비틀 2
 
3.4%
㈜대한항공 2
 
3.4%
제주우주항공박물관 1
 
1.7%
제주남원점 1
 
1.7%
미르봉봉키즈빌 1
 
1.7%
소꿉놀이 1
 
1.7%
모슬포점 1
 
1.7%
Other values (41) 41
70.7%
2023-12-12T21:06:38.708270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
20
 
6.0%
주 14
 
4.2%
제 10
 
3.0%
스 9
 
2.7%
㈜ 8
 
2.4%
이 8
 
2.4%
리 7
 
2.1%
점 7
 
2.1%
크 6
 
1.8%
파 5
 
1.5%
Other values (129) 242
72.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 303
90.2%
Space Separator 20
 
6.0%
Other Symbol 8
 
2.4%
Other Punctuation 2
 
0.6%
Uppercase Letter 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
4.6%
제 10
 
3.3%
스 9
 
3.0%
이 8
 
2.6%
리 7
 
2.3%
점 7
 
2.3%
크 6
 
2.0%
파 5
 
1.7%
산 5
 
1.7%
아 5
 
1.7%
Other values (122) 227
74.9%
Other Punctuation
ValueCountFrequency (%)
＆ 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 311
92.6%
Common 24
 
7.1%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
4.5%
제 10
 
3.2%
스 9
 
2.9%
㈜ 8
 
2.6%
이 8
 
2.6%
리 7
 
2.3%
점 7
 
2.3%
크 6
 
1.9%
파 5
 
1.6%
산 5
 
1.6%
Other values (123) 232
74.6%
Common
ValueCountFrequency (%)
20
83.3%
＆ 1
 
4.2%
& 1
 
4.2%
) 1
 
4.2%
( 1
 
4.2%
Latin
ValueCountFrequency (%)
R 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 303
90.2%
ASCII 24
 
7.1%
None 9
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
20
83.3%
R 1
 
4.2%
& 1
 
4.2%
) 1
 
4.2%
( 1
 
4.2%
Hangul
ValueCountFrequency (%)
주 14
 
4.6%
제 10
 
3.3%
스 9
 
3.0%
이 8
 
2.6%
리 7
 
2.3%
점 7
 
2.3%
크 6
 
2.0%
파 5
 
1.7%
산 5
 
1.7%
아 5
 
1.7%
Other values (122) 227
74.9%
None
ValueCountFrequency (%)
㈜ 8
88.9%
＆ 1
 
11.1%

소재지
Text

Distinct37
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-12-12T21:06:39.027658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28.5
Mean length25.026316
Min length20

Characters and Unicode

Total characters951
Distinct characters88
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

Unique36 ?
Unique (%)94.7%

Sample

1st row제주특별자치도 서귀포시 안덕면 신화역사로 304번길 98
2nd row제주특별자치도 서귀포시 안덕면 신화역사로 304번길 38
3rd row제주특별자치도 서귀포시 안덕면 병악로 269
4th row제주특별자치도 서귀포시 표선면 녹산로 554
5th row제주특별자치도 서귀포시 안덕면 사계남로216번길 24-32
ValueCountFrequency (%)
제주특별자치도 38
21.8%
서귀포시 38
21.8%
안덕면 7
 
4.0%
남원읍 5
 
2.9%
표선면 3
 
1.7%
35 3
 
1.7%
대정읍 2
 
1.1%
이어도로 2
 
1.1%
304번길 2
 
1.1%
성산읍 2
 
1.1%
Other values (67) 72
41.4%
2023-12-12T21:06:39.562562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
14.3%
서 41
 
4.3%
도 40
 
4.2%
주 39
 
4.1%
제 38
 
4.0%
특 38
 
4.0%
별 38
 
4.0%
자 38
 
4.0%
치 38
 
4.0%
귀 38
 
4.0%
Other values (78) 467
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 658
69.2%
Decimal Number 146
 
15.4%
Space Separator 136
 
14.3%
Dash Punctuation 11
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 41
 
6.2%
도 40
 
6.1%
주 39
 
5.9%
제 38
 
5.8%
특 38
 
5.8%
별 38
 
5.8%
자 38
 
5.8%
치 38
 
5.8%
귀 38
 
5.8%
포 38
 
5.8%
Other values (66) 272
41.3%
Decimal Number
ValueCountFrequency (%)
1 24
16.4%
2 22
15.1%
7 18
12.3%
5 17
11.6%
3 14
9.6%
6 14
9.6%
4 11
7.5%
0 10
6.8%
8 9
 
6.2%
9 7
 
4.8%
Space Separator
ValueCountFrequency (%)
136
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 658
69.2%
Common 293
30.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 41
 
6.2%
도 40
 
6.1%
주 39
 
5.9%
제 38
 
5.8%
특 38
 
5.8%
별 38
 
5.8%
자 38
 
5.8%
치 38
 
5.8%
귀 38
 
5.8%
포 38
 
5.8%
Other values (66) 272
41.3%
Common
ValueCountFrequency (%)
136
46.4%
1 24
 
8.2%
2 22
 
7.5%
7 18
 
6.1%
5 17
 
5.8%
3 14
 
4.8%
6 14
 
4.8%
4 11
 
3.8%
- 11
 
3.8%
0 10
 
3.4%
Other values (2) 16
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 658
69.2%
ASCII 293
30.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
46.4%
1 24
 
8.2%
2 22
 
7.5%
7 18
 
6.1%
5 17
 
5.8%
3 14
 
4.8%
6 14
 
4.8%
4 11
 
3.8%
- 11
 
3.8%
0 10
 
3.4%
Other values (2) 16
 
5.5%
Hangul
ValueCountFrequency (%)
서 41
 
6.2%
도 40
 
6.1%
주 39
 
5.9%
제 38
 
5.8%
특 38
 
5.8%
별 38
 
5.8%
자 38
 
5.8%
치 38
 
5.8%
귀 38
 
5.8%
포 38
 
5.8%
Other values (66) 272
41.3%

연락처
Text

MISSING 

Distinct32
Distinct (%)100.0%
Missing6
Missing (%)15.8%
Memory size436.0 B
2023-12-12T21:06:39.871376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.0625
Min length12

Characters and Unicode

Total characters386
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

Unique32 ?
Unique (%)100.0%

Sample

1st row064-908-6100
2nd row064-908-6000
3rd row070-8147-3311
4th row064-784-5322
5th row064-794-1425
ValueCountFrequency (%)
064-764-7759 1
 
3.1%
070-8147-3311 1
 
3.1%
064-739-0970 1
 
3.1%
064-738-9502 1
 
3.1%
064-738-3386 1
 
3.1%
064-732-9930 1
 
3.1%
064-792-2345 1
 
3.1%
064-739-6789 1
 
3.1%
070-4312-0112 1
 
3.1%
064-762-4478 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T21:06:40.304472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72
18.7%
- 64
16.6%
4 45
11.7%
7 44
11.4%
6 41
10.6%
3 32
8.3%
9 22
 
5.7%
8 19
 
4.9%
1 19
 
4.9%
2 15
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 322
83.4%
Dash Punctuation 64
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
22.4%
4 45
14.0%
7 44
13.7%
6 41
12.7%
3 32
9.9%
9 22
 
6.8%
8 19
 
5.9%
1 19
 
5.9%
2 15
 
4.7%
5 13
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72
18.7%
- 64
16.6%
4 45
11.7%
7 44
11.4%
6 41
10.6%
3 32
8.3%
9 22
 
5.7%
8 19
 
4.9%
1 19
 
4.9%
2 15
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72
18.7%
- 64
16.6%
4 45
11.7%
7 44
11.4%
6 41
10.6%
3 32
8.3%
9 22
 
5.7%
8 19
 
4.9%
1 19
 
4.9%
2 15
 
3.9%

위도
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.735623
Minimum33.22397
Maximum126.40591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:06:40.463331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.22397
5-th percentile33.241872
Q133.249941
median33.270089
Q333.304781
95-th percentile33.428804
Maximum126.40591
Range93.181936
Interquartile range (IQR)0.054840035

Descriptive statistics

Standard deviation15.106282
Coefficient of variation (CV)0.42272335
Kurtosis37.999036
Mean35.735623
Median Absolute Deviation (MAD)0.02212091
Skewness6.1642998
Sum1357.9537
Variance228.19976
MonotonicityNot monotonic
2023-12-12T21:06:40.650852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
33.24859961 3
 
7.9%
33.30653711 1
 
2.6%
33.31895957 1
 
2.6%
33.25396647 1
 
2.6%
33.26652134 1
 
2.6%
33.22397034 1
 
2.6%
33.24629719 1
 
2.6%
33.3042074 1
 
2.6%
33.26028772 1
 
2.6%
33.30562315 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
33.22397034 1
 
2.6%
33.23337114 1
 
2.6%
33.24337171 1
 
2.6%
33.24341912 1
 
2.6%
33.24629719 1
 
2.6%
33.24706746 1
 
2.6%
33.24733617 1
 
2.6%
33.24859961 3
7.9%
33.25396647 1
 
2.6%
33.25490055 1
 
2.6%
ValueCountFrequency (%)
126.4059059 1
2.6%
33.4445124 1
2.6%
33.42603156 1
2.6%
33.40226346 1
2.6%
33.39314707 1
2.6%
33.31895957 1
2.6%
33.30721676 1
2.6%
33.30653711 1
2.6%
33.30562315 1
2.6%
33.30497268 1
2.6%

경도
Real number (ℝ)

Distinct36
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.0761
Minimum33.260841
Maximum126.92645
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size474.0 B
2023-12-12T21:06:40.822186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.260841
5-th percentile126.24596
Q1126.38055
median126.52294
Q3126.66717
95-th percentile126.81343
Maximum126.92645
Range93.665609
Interquartile range (IQR)0.28662192

Descriptive statistics

Standard deviation15.131384
Coefficient of variation (CV)0.12195245
Kurtosis37.988719
Mean124.0761
Median Absolute Deviation (MAD)0.1612383
Skewness-6.163076
Sum4714.8918
Variance228.95878
MonotonicityNot monotonic
2023-12-12T21:06:41.003165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
126.4103301 3
 
7.9%
126.307553 1
 
2.6%
126.345363 1
 
2.6%
126.5223714 1
 
2.6%
126.5732903 1
 
2.6%
126.2520708 1
 
2.6%
126.5235136 1
 
2.6%
126.2996615 1
 
2.6%
126.5711088 1
 
2.6%
126.7947841 1
 
2.6%
Other values (26) 26
68.4%
ValueCountFrequency (%)
33.2608408 1
2.6%
126.2113189 1
2.6%
126.2520708 1
2.6%
126.2996615 1
2.6%
126.307553 1
2.6%
126.3132913 1
2.6%
126.316352 1
2.6%
126.345363 1
2.6%
126.3490104 1
2.6%
126.3708109 1
2.6%
ValueCountFrequency (%)
126.9264499 1
2.6%
126.9190859 1
2.6%
126.7947841 1
2.6%
126.7231666 1
2.6%
126.7198014 1
2.6%
126.7196046 1
2.6%
126.7173984 1
2.6%
126.7082084 1
2.6%
126.702756 1
2.6%
126.6932875 1
2.6%

비고
Categorical

IMBALANCE 

Distinct6
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Memory size436.0 B
특이사항없음
33 
휴업(2020-11-16~2023-11-15)
 
1
휴업(2018-10-01~2022-12-31)
 
1
휴업(2021-08-26~2023-04-30)
 
1
휴업(2020-08-20~2023-08-19)
 
1

Length

Max length25
Median length6
Mean length8.5
Min length6

Unique

Unique5 ?
Unique (%)13.2%

Sample

1st row특이사항없음
2nd row특이사항없음
3rd row특이사항없음
4th row휴업(2020-11-16~2023-11-15)
5th row특이사항없음

Common Values

ValueCountFrequency (%)
특이사항없음 33
86.8%
휴업(2020-11-16~2023-11-15) 1
 
2.6%
휴업(2018-10-01~2022-12-31) 1
 
2.6%
휴업(2021-08-26~2023-04-30) 1
 
2.6%
휴업(2020-08-20~2023-08-19) 1
 
2.6%
휴업(2022-09-01~2023-07-31) 1
 
2.6%

Length

2023-12-12T21:06:41.185950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:06:41.360773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
특이사항없음 33
86.8%
휴업(2020-11-16~2023-11-15 1
 
2.6%
휴업(2018-10-01~2022-12-31 1
 
2.6%
휴업(2021-08-26~2023-04-30 1
 
2.6%
휴업(2020-08-20~2023-08-19 1
 
2.6%
휴업(2022-09-01~2023-07-31 1
 
2.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size436.0 B
2023-03-28
38 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-03-28
2nd row2023-03-28
3rd row2023-03-28
4th row2023-03-28
5th row2023-03-28

Common Values

ValueCountFrequency (%)
2023-03-28 38
100.0%

Length

2023-12-12T21:06:41.576817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:06:41.731520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-03-28 38
100.0%

Interactions

2023-12-12T21:06:36.869244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:06:36.634332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:06:36.964067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:06:36.743877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:06:41.816027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상호명소재지연락처위도경도비고
구분1.0001.0000.8581.0000.0000.0000.000
상호명1.0001.0001.0001.0001.0001.0001.000
소재지0.8581.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.6670.000
경도0.0001.0001.0001.0000.6671.0000.000
비고0.0001.0001.0001.0000.0000.0001.000
2023-12-12T21:06:41.966773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분비고
구분1.0000.000
비고0.0001.000
2023-12-12T21:06:42.075188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분비고
위도1.0000.3060.0000.000
경도0.3061.0000.0000.000
구분0.0000.0001.0000.000
비고0.0000.0000.0001.000

Missing values

2023-12-12T21:06:37.438288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:06:37.603183image/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

구분상호명소재지연락처위도경도비고데이터기준일자
0종합유원시설업신화테마파크제주특별자치도 서귀포시 안덕면 신화역사로 304번길 98064-908-610033.306537126.307553특이사항없음2023-03-28
1종합유원시설업신화워터파크제주특별자치도 서귀포시 안덕면 신화역사로 304번길 38064-908-600033.304973126.316352특이사항없음2023-03-28
2종합유원시설업뽀로로&타요 테마파크 제주제주특별자치도 서귀포시 안덕면 병악로 269070-8147-331133.300443126.370811특이사항없음2023-03-28
3일반유원시설업㈜대한항공 정석항공관제주특별자치도 서귀포시 표선면 녹산로 554064-784-532233.393147126.723167휴업(2020-11-16~2023-11-15)2023-03-28
4일반유원시설업산방산랜드제주특별자치도 서귀포시 안덕면 사계남로216번길 24-32064-794-142533.233371126.313291특이사항없음2023-03-28
5일반유원시설업피오디코리아㈜제주특별자치도 서귀포시 법환상로2번길 97-13064-739-770733.247336126.512655휴업(2018-10-01~2022-12-31)2023-03-28
6일반유원시설업㈜아쿠아랜드제주특별자치도 서귀포시 월드컵로 31064-731-193033.247067126.507363휴업(2021-08-26~2023-04-30)2023-03-28
7일반유원시설업㈜롯데호텔제주제주특별자치도 서귀포시 중문관광로72번길 35064-731-100033.2486126.41033특이사항없음2023-03-28
8일반유원시설업주식회사 제주에코빌리지제주특별자치도 서귀포시 남원읍 태위로 536064-764-777733.27516126.708208특이사항없음2023-03-28
9일반유원시설업금호리조트㈜제주특별자치도 서귀포시 남원읍 태위로 522-12064-766-803133.273656126.702756특이사항없음2023-03-28
구분상호명소재지연락처위도경도비고데이터기준일자
28기타유원시설업주식회사 스윗점프제주특별자치도 서귀포시 동홍북로 27-11064-805-554433.260288126.571109특이사항없음2023-03-28
29기타유원시설업농협은행 제주수련원제주특별자치도 서귀포시 표선면 일주동로 6337064-787-887433.305623126.794784휴업(2022-09-01~2023-07-31)2023-03-28
30기타유원시설업토이파크 뮤지엄제주특별자치도 서귀포시 안덕면 동광로 267-7064-794-033333.31896126.345363특이사항없음2023-03-28
31기타유원시설업세계자동차＆피아노박물관제주특별자치도 서귀포시 안덕면 중산간서로 1610064-792-300033.282942126.34901특이사항없음2023-03-28
32기타유원시설업노리파크 서귀포점제주특별자치도 서귀포시 516로 40<NA>33.257355126.581421특이사항없음2023-03-28
33기타유원시설업아몽가제주특별자치도 서귀포시 대정읍 영락중동로8번길 10<NA>33.257337126.211319특이사항없음2023-03-28
34기타유원시설업휘닉스 제주섭지코지제주특별자치도 서귀포시 성산읍 섭지코지로 107064-731-792533.426032126.92645특이사항없음2023-03-28
35기타유원시설업주식회사 토스카나제주특별자치도 서귀포시 용흥로66번길 158-7064-735-700033.265934126.484696특이사항없음2023-03-28
36기타유원시설업퍼플키즈카페 제주남원점제주특별자치도 서귀포시 남원읍 남원회관로 65<NA>33.27871126.719801특이사항없음2023-03-28
37기타유원시설업점핑몬스터 서귀포점제주특별자치도 서귀포시 남성중로 2-3<NA>33.243372126.559681특이사항없음2023-03-28