Overview

Dataset statistics

Number of variables8
Number of observations66
Missing cells14
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory68.0 B

Variable types

Categorical3
Text3
Numeric2

Dataset

Description제주특별자치도 서귀포시 관내 여행업의 구분(일반여행업, 국외여행업, 국내여행업), 상호명, 소재지, 연락처, 위도, 경도, 비고에 대한 정보를 제공합니다
Author제주특별자치도 서귀포시
URLhttps://www.data.go.kr/data/15056052/fileData.do

Alerts

비고 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
연락처 has 14 (21.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:12:17.683884
Analysis finished2023-12-12 11:12:20.027020
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
국내여행업
30 
종합여행업
22 
국내외여행업
14 

Length

Max length6
Median length5
Mean length5.2121212
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 30
45.5%
종합여행업 22
33.3%
국내외여행업 14
21.2%

Length

2023-12-12T20:12:20.141924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:20.295795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 30
45.5%
종합여행업 22
33.3%
국내외여행업 14
21.2%

상호명
Text

Distinct64
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T20:12:20.652438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length7.1666667
Min length2

Characters and Unicode

Total characters473
Distinct characters160
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

Unique62 ?
Unique (%)93.9%

Sample

1st row권감독의 쇼밥투어
2nd row모비딕
3rd row유한회사 퐁낭
4th row쿰다투어
5th row㈜호텔롯데 롯데호텔제주
ValueCountFrequency (%)
주식회사 13
 
14.1%
투어 3
 
3.3%
제주 3
 
3.3%
쿰다투어 2
 
2.2%
더힐링아일랜드 2
 
2.2%
여행사 2
 
2.2%
제이제이여행사 1
 
1.1%
제주골프이도투어 1
 
1.1%
제주hew봉그레 1
 
1.1%
플레이스(place 1
 
1.1%
Other values (63) 63
68.5%
2023-12-12T20:12:21.333938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 34
 
7.2%
사 27
 
5.7%
26
 
5.5%
제 25
 
5.3%
투 19
 
4.0%
어 19
 
4.0%
㈜ 18
 
3.8%
행 16
 
3.4%
여 16
 
3.4%
회 15
 
3.2%
Other values (150) 258
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 414
87.5%
Space Separator 26
 
5.5%
Other Symbol 18
 
3.8%
Uppercase Letter 8
 
1.7%
Lowercase Letter 5
 
1.1%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
8.2%
사 27
 
6.5%
제 25
 
6.0%
투 19
 
4.6%
어 19
 
4.6%
행 16
 
3.9%
여 16
 
3.9%
회 15
 
3.6%
식 14
 
3.4%
이 12
 
2.9%
Other values (134) 217
52.4%
Uppercase Letter
ValueCountFrequency (%)
H 2
25.0%
E 1
12.5%
W 1
12.5%
O 1
12.5%
A 1
12.5%
G 1
12.5%
S 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
e 1
20.0%
c 1
20.0%
a 1
20.0%
l 1
20.0%
p 1
20.0%
Space Separator
ValueCountFrequency (%)
26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 432
91.3%
Common 28
 
5.9%
Latin 13
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
7.9%
사 27
 
6.2%
제 25
 
5.8%
투 19
 
4.4%
어 19
 
4.4%
㈜ 18
 
4.2%
행 16
 
3.7%
여 16
 
3.7%
회 15
 
3.5%
식 14
 
3.2%
Other values (135) 229
53.0%
Latin
ValueCountFrequency (%)
H 2
15.4%
e 1
7.7%
c 1
7.7%
a 1
7.7%
l 1
7.7%
p 1
7.7%
E 1
7.7%
W 1
7.7%
O 1
7.7%
A 1
7.7%
Other values (2) 2
15.4%
Common
ValueCountFrequency (%)
26
92.9%
( 1
 
3.6%
) 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 414
87.5%
ASCII 41
 
8.7%
None 18
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 34
 
8.2%
사 27
 
6.5%
제 25
 
6.0%
투 19
 
4.6%
어 19
 
4.6%
행 16
 
3.9%
여 16
 
3.9%
회 15
 
3.6%
식 14
 
3.4%
이 12
 
2.9%
Other values (134) 217
52.4%
ASCII
ValueCountFrequency (%)
26
63.4%
H 2
 
4.9%
( 1
 
2.4%
e 1
 
2.4%
c 1
 
2.4%
a 1
 
2.4%
l 1
 
2.4%
p 1
 
2.4%
E 1
 
2.4%
) 1
 
2.4%
Other values (5) 5
 
12.2%
None
ValueCountFrequency (%)
㈜ 18
100.0%

소재지
Text

Distinct65
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-12T20:12:21.833868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length41
Mean length33.621212
Min length24

Characters and Unicode

Total characters2219
Distinct characters165
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)97.0%

Sample

1st row제주특별자치도 서귀포시 색달로 99 2층 (색달동)
2nd row제주특별자치도 서귀포시 남성중로121번길 12 2층 (서홍동)
3rd row제주특별자치도 서귀포시 중정로 19 (서귀동)
4th row제주특별자치도 서귀포시 표선면 번영로 2454 F동 1층
5th row제주특별자치도 서귀포시 중문관광로72번길 35 호텔롯데제주 8층 (색달동)
ValueCountFrequency (%)
서귀포시 66
 
16.1%
제주특별자치도 65
 
15.9%
2층 9
 
2.2%
1층 9
 
2.2%
서홍동 8
 
2.0%
표선면 7
 
1.7%
동홍동 5
 
1.2%
서귀동 4
 
1.0%
a동 4
 
1.0%
서호동 4
 
1.0%
Other values (168) 228
55.7%
2023-12-12T20:12:22.470951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
343
 
15.5%
서 96
 
4.3%
주 77
 
3.5%
포 75
 
3.4%
제 72
 
3.2%
귀 71
 
3.2%
도 68
 
3.1%
동 68
 
3.1%
로 67
 
3.0%
치 66
 
3.0%
Other values (155) 1216
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1433
64.6%
Space Separator 343
 
15.5%
Decimal Number 315
 
14.2%
Open Punctuation 48
 
2.2%
Close Punctuation 48
 
2.2%
Dash Punctuation 16
 
0.7%
Uppercase Letter 10
 
0.5%
Other Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 96
 
6.7%
주 77
 
5.4%
포 75
 
5.2%
제 72
 
5.0%
귀 71
 
5.0%
도 68
 
4.7%
동 68
 
4.7%
로 67
 
4.7%
치 66
 
4.6%
별 66
 
4.6%
Other values (132) 707
49.3%
Decimal Number
ValueCountFrequency (%)
2 64
20.3%
1 58
18.4%
3 33
10.5%
7 31
9.8%
0 30
9.5%
5 29
9.2%
4 22
 
7.0%
6 18
 
5.7%
8 17
 
5.4%
9 13
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
A 4
40.0%
C 1
 
10.0%
B 1
 
10.0%
D 1
 
10.0%
J 1
 
10.0%
E 1
 
10.0%
F 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
. 2
33.3%
Space Separator
ValueCountFrequency (%)
343
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1433
64.6%
Common 776
35.0%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 96
 
6.7%
주 77
 
5.4%
포 75
 
5.2%
제 72
 
5.0%
귀 71
 
5.0%
도 68
 
4.7%
동 68
 
4.7%
로 67
 
4.7%
치 66
 
4.6%
별 66
 
4.6%
Other values (132) 707
49.3%
Common
ValueCountFrequency (%)
343
44.2%
2 64
 
8.2%
1 58
 
7.5%
( 48
 
6.2%
) 48
 
6.2%
3 33
 
4.3%
7 31
 
4.0%
0 30
 
3.9%
5 29
 
3.7%
4 22
 
2.8%
Other values (6) 70
 
9.0%
Latin
ValueCountFrequency (%)
A 4
40.0%
C 1
 
10.0%
B 1
 
10.0%
D 1
 
10.0%
J 1
 
10.0%
E 1
 
10.0%
F 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1433
64.6%
ASCII 786
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
343
43.6%
2 64
 
8.1%
1 58
 
7.4%
( 48
 
6.1%
) 48
 
6.1%
3 33
 
4.2%
7 31
 
3.9%
0 30
 
3.8%
5 29
 
3.7%
4 22
 
2.8%
Other values (13) 80
 
10.2%
Hangul
ValueCountFrequency (%)
서 96
 
6.7%
주 77
 
5.4%
포 75
 
5.2%
제 72
 
5.0%
귀 71
 
5.0%
도 68
 
4.7%
동 68
 
4.7%
로 67
 
4.7%
치 66
 
4.6%
별 66
 
4.6%
Other values (132) 707
49.3%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.280804
Minimum33.223335
Maximum33.449858
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T20:12:22.698069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.223335
5-th percentile33.236983
Q133.247806
median33.253959
Q333.270721
95-th percentile33.421731
Maximum33.449858
Range0.22652321
Interquartile range (IQR)0.02291487

Descriptive statistics

Standard deviation0.06006524
Coefficient of variation (CV)0.0018048013
Kurtosis1.4912354
Mean33.280804
Median Absolute Deviation (MAD)0.00853082
Skewness1.6753235
Sum2196.5331
Variance0.0036078331
MonotonicityNot monotonic
2023-12-12T20:12:22.910276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.25254887 4
 
6.1%
33.25252829 2
 
3.0%
33.40878812 2
 
3.0%
33.24859947 2
 
3.0%
33.25722847 2
 
3.0%
33.24265636 2
 
3.0%
33.26210293 1
 
1.5%
33.23664913 1
 
1.5%
33.23798504 1
 
1.5%
33.26605105 1
 
1.5%
Other values (48) 48
72.7%
ValueCountFrequency (%)
33.22333495 1
1.5%
33.22561976 1
1.5%
33.22674192 1
1.5%
33.23664913 1
1.5%
33.23798504 1
1.5%
33.23887269 1
1.5%
33.2393255 1
1.5%
33.24175328 1
1.5%
33.24265636 2
3.0%
33.24276718 1
1.5%
ValueCountFrequency (%)
33.44985816 1
1.5%
33.43987278 1
1.5%
33.42855454 1
1.5%
33.4260456 1
1.5%
33.40878812 2
3.0%
33.40599682 1
1.5%
33.39736439 1
1.5%
33.3795162 1
1.5%
33.36231228 1
1.5%
33.33235479 1
1.5%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct58
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.566
Minimum126.25374
Maximum126.92644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T20:12:23.093565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.25374
5-th percentile126.34864
Q1126.47801
median126.55623
Q3126.61297
95-th percentile126.85807
Maximum126.92644
Range0.6727027
Interquartile range (IQR)0.1349619

Descriptive statistics

Standard deviation0.15060917
Coefficient of variation (CV)0.0011899655
Kurtosis0.2201997
Mean126.566
Median Absolute Deviation (MAD)0.05972115
Skewness0.5361999
Sum8353.3559
Variance0.022683123
MonotonicityNot monotonic
2023-12-12T20:12:23.294032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.5186116 4
 
6.1%
126.5552148 2
 
3.0%
126.7698662 2
 
3.0%
126.4104102 2
 
3.0%
126.5562321 2
 
3.0%
126.5352161 2
 
3.0%
126.413761 1
 
1.5%
126.4979261 1
 
1.5%
126.5145868 1
 
1.5%
126.5904743 1
 
1.5%
Other values (48) 48
72.7%
ValueCountFrequency (%)
126.2537376 1
1.5%
126.2547483 1
1.5%
126.3308709 1
1.5%
126.3354872 1
1.5%
126.3881095 1
1.5%
126.4086825 1
1.5%
126.4104102 2
3.0%
126.413761 1
1.5%
126.4156034 1
1.5%
126.4250791 1
1.5%
ValueCountFrequency (%)
126.9264403 1
1.5%
126.9181667 1
1.5%
126.899212 1
1.5%
126.8628803 1
1.5%
126.8436314 1
1.5%
126.8021451 1
1.5%
126.7928925 1
1.5%
126.776635 1
1.5%
126.7698662 2
3.0%
126.7467854 1
1.5%

연락처
Text

MISSING 

Distinct51
Distinct (%)98.1%
Missing14
Missing (%)21.2%
Memory size660.0 B
2023-12-12T20:12:23.652300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.307692
Min length11

Characters and Unicode

Total characters640
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)96.2%

Sample

1st row064-4166-2789
2nd row064-733-1038
3rd row064-762-2178
4th row0507-1338-8197
5th row064-731-1000
ValueCountFrequency (%)
064-763-3521 2
 
3.8%
064-757-4375 2
 
3.8%
064-744-1179 1
 
1.9%
064-4166-2789 1
 
1.9%
064-762-5638 1
 
1.9%
064-739-5757 1
 
1.9%
0507-1410-2369 1
 
1.9%
064-766-3000 1
 
1.9%
064-732-4160 1
 
1.9%
0507-1493-0414 1
 
1.9%
Other values (40) 40
76.9%
2023-12-12T20:12:24.219424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 110
17.2%
- 104
16.2%
6 72
11.2%
7 70
10.9%
4 68
10.6%
3 53
8.3%
1 37
 
5.8%
2 36
 
5.6%
5 33
 
5.2%
8 31
 
4.8%
Other values (2) 26
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 535
83.6%
Dash Punctuation 104
 
16.2%
Space Separator 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 110
20.6%
6 72
13.5%
7 70
13.1%
4 68
12.7%
3 53
9.9%
1 37
 
6.9%
2 36
 
6.7%
5 33
 
6.2%
8 31
 
5.8%
9 25
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Space Separator
ValueCountFrequency (%)
  1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 110
17.2%
- 104
16.2%
6 72
11.2%
7 70
10.9%
4 68
10.6%
3 53
8.3%
1 37
 
5.8%
2 36
 
5.6%
5 33
 
5.2%
8 31
 
4.8%
Other values (2) 26
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 639
99.8%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 110
17.2%
- 104
16.3%
6 72
11.3%
7 70
11.0%
4 68
10.6%
3 53
8.3%
1 37
 
5.8%
2 36
 
5.6%
5 33
 
5.2%
8 31
 
4.9%
None
ValueCountFrequency (%)
  1
100.0%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
영업/정상
66 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 66
100.0%

Length

2023-12-12T20:12:24.400856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:24.547027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 66
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-10-26
66 

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 66
100.0%

Length

2023-12-12T20:12:24.719257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:12:24.863719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-26 66
100.0%

Interactions

2023-12-12T20:12:19.111016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:18.618835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:19.387128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:12:18.841852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:12:24.974744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분상호명소재지위도경도연락처
구분1.0000.0000.6080.0000.4620.629
상호명0.0001.0001.0001.0001.0000.990
소재지0.6081.0001.0001.0001.0000.997
위도0.0001.0001.0001.0000.8001.000
경도0.4621.0001.0000.8001.0001.000
연락처0.6290.9900.9971.0001.0001.000
2023-12-12T20:12:25.138148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도구분
위도1.0000.7190.000
경도0.7191.0000.292
구분0.0000.2921.000

Missing values

2023-12-12T20:12:19.667324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:12:19.934143image/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

구분상호명소재지위도경도연락처비고데이터기준일자
0종합여행업권감독의 쇼밥투어제주특별자치도 서귀포시 색달로 99 2층 (색달동)33.262103126.413761064-4166-2789영업/정상2023-10-26
1종합여행업모비딕제주특별자치도 서귀포시 남성중로121번길 12 2층 (서홍동)33.242767126.555504064-733-1038영업/정상2023-10-26
2종합여행업유한회사 퐁낭제주특별자치도 서귀포시 중정로 19 (서귀동)33.247735126.558618064-762-2178영업/정상2023-10-26
3종합여행업쿰다투어제주특별자치도 서귀포시 표선면 번영로 2454 F동 1층33.408788126.7698660507-1338-8197영업/정상2023-10-26
4종합여행업㈜호텔롯데 롯데호텔제주제주특별자치도 서귀포시 중문관광로72번길 35 호텔롯데제주 8층 (색달동)33.248599126.41041064-731-1000영업/정상2023-10-26
5종합여행업제주신라 GAO제주특별자치도 서귀포시 중문관광로72번길 75 신라호텔 3층 (색달동)33.248018126.408682064-735-5511영업/정상2023-10-26
6종합여행업핀크스 투어 여행사제주특별자치도 서귀포시 안덕면 산록남로762번길 79 비오토피아커뮤니티센터33.301407126.388109064-793-6082영업/정상2023-10-26
7종합여행업주식회사 여행원제주특별자치도 서귀포시 안덕면 화순로142번길 23 102동 1층33.248478126.33087102-756-0040영업/정상2023-10-26
8종합여행업해비치호텔앤드리조트㈜제주특별자치도 서귀포시 남원읍 원님로399번길 319 해비치골프장 1층33.362312126.7219064-780-8212영업/정상2023-10-26
9종합여행업㈜지유투어제주특별자치도 서귀포시 신서귀로97번길 51 102호 (강정동)33.253988126.506976064-738-7555영업/정상2023-10-26
구분상호명소재지위도경도연락처비고데이터기준일자
56국내여행업㈜오이오이제주특별자치도 서귀포시 일주동로 8734 2층 202호 (서홍동 세림피스)33.252528126.555215064-763-6080영업/정상2023-10-26
57국내여행업㈜디스커버제주제주특별자치도 서귀포시 대포로 26 (대포동)33.247415126.4314840507-1323-3394영업/정상2023-10-26
58국내여행업놀레제주특별자치도 서귀포시 일주동로 8734 (서홍동 세림피스)33.252528126.555215064-752-5211영업/정상2023-10-26
59국내여행업월드비전여행사서귀포시 대정읍 동일하모로 212, 2층(하모리 1534-1)33.22562126.253738064-794-1996영업/정상2023-10-26
60국내여행업투어리스 여행사제주특별자치도 서귀포시 홍중로 53-3 (서홍동 민우아파트)33.257228126.556232064-763-3521영업/정상2023-10-26
61국내여행업주식회사 한마음투어제주특별자치도 서귀포시 서문로 11 (서귀동)33.251621126.560134064-733-3010영업/정상2023-10-26
62국내여행업삼풍㈜ 한몽여행사제주특별자치도 서귀포시 표선면 녹산로 27433.379516126.746785064-787-2588영업/정상2023-10-26
63국내여행업새빛여행사제주특별자치도 서귀포시 법환상로2번길 97-13 미로월드파크 (법환동)33.247339126.512658064-738-5130영업/정상2023-10-26
64국내여행업㈜제주생태관광제주특별자치도 서귀포시 남원읍 서성로810번길 7 사려니주식회사33.332355126.679943064-784-4256영업/정상2023-10-26
65국내여행업제주도여행사제주특별자치도 서귀포시 서호로 26 (호근동 1822-5)33.256484126.523503064-739-7407영업/정상2023-10-26