Overview

Dataset statistics

Number of variables8
Number of observations78
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.2 KiB
Average record size in memory67.7 B

Variable types

DateTime2
Categorical1
Text3
Numeric2

Dataset

Description경상남도 거제시 여행업현황(등록일자, 업종, 상호, 소재지, 위도, 경도, 연락처, 기준일자)등에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3079556

Alerts

기준일 has constant value ""Constant
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
전화번호 has 2 (2.6%) missing valuesMissing

Reproduction

Analysis started2024-04-17 19:08:37.475837
Analysis finished2024-04-17 19:08:38.248324
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록일자
Date

Distinct59
Distinct (%)75.6%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum1987-09-25 00:00:00
Maximum2020-10-26 00:00:00
2024-04-18T04:08:38.303538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:08:38.408072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Categorical

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size756.0 B
국내여행업
34 
국외여행업
29 
일반여행업
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내여행업 34
43.6%
국외여행업 29
37.2%
일반여행업 15
19.2%

Length

2024-04-18T04:08:38.500484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:08:38.575136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내여행업 34
43.6%
국외여행업 29
37.2%
일반여행업 15
19.2%

상호
Text

Distinct52
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-04-18T04:08:38.739373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.6025641
Min length4

Characters and Unicode

Total characters593
Distinct characters121
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)34.6%

Sample

1st row(주)양지투어
2nd row주식회사 강남투어
3rd row(주)에이스여행사
4th row주식회사 거제밴투어
5th row더월드투어
ValueCountFrequency (%)
주식회사 8
 
8.6%
주)동백관광 3
 
3.2%
주)오션시티 2
 
2.2%
여행사랑 2
 
2.2%
주)한마음여행 2
 
2.2%
주)브이아이피항공여행사 2
 
2.2%
거제도투어 2
 
2.2%
여행백화점 2
 
2.2%
강남투어 2
 
2.2%
주)정운고속관광 2
 
2.2%
Other values (48) 66
71.0%
2024-04-18T04:08:39.017177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 50
 
8.4%
) 42
 
7.1%
( 41
 
6.9%
여 29
 
4.9%
행 29
 
4.9%
사 29
 
4.9%
투 27
 
4.6%
어 27
 
4.6%
15
 
2.5%
이 9
 
1.5%
Other values (111) 295
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
81.5%
Close Punctuation 42
 
7.1%
Open Punctuation 41
 
6.9%
Space Separator 15
 
2.5%
Uppercase Letter 9
 
1.5%
Decimal Number 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 50
 
10.4%
여 29
 
6.0%
행 29
 
6.0%
사 29
 
6.0%
투 27
 
5.6%
어 27
 
5.6%
이 9
 
1.9%
식 9
 
1.9%
회 9
 
1.9%
대 8
 
1.7%
Other values (96) 257
53.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
11.1%
W 1
11.1%
I 1
11.1%
D 1
11.1%
R 1
11.1%
A 1
11.1%
V 1
11.1%
E 1
11.1%
L 1
11.1%
Decimal Number
ValueCountFrequency (%)
6 1
33.3%
5 1
33.3%
3 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
81.5%
Common 101
 
17.0%
Latin 9
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 50
 
10.4%
여 29
 
6.0%
행 29
 
6.0%
사 29
 
6.0%
투 27
 
5.6%
어 27
 
5.6%
이 9
 
1.9%
식 9
 
1.9%
회 9
 
1.9%
대 8
 
1.7%
Other values (96) 257
53.2%
Latin
ValueCountFrequency (%)
T 1
11.1%
W 1
11.1%
I 1
11.1%
D 1
11.1%
R 1
11.1%
A 1
11.1%
V 1
11.1%
E 1
11.1%
L 1
11.1%
Common
ValueCountFrequency (%)
) 42
41.6%
( 41
40.6%
15
 
14.9%
6 1
 
1.0%
5 1
 
1.0%
3 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
81.5%
ASCII 110
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 50
 
10.4%
여 29
 
6.0%
행 29
 
6.0%
사 29
 
6.0%
투 27
 
5.6%
어 27
 
5.6%
이 9
 
1.9%
식 9
 
1.9%
회 9
 
1.9%
대 8
 
1.7%
Other values (96) 257
53.2%
ASCII
ValueCountFrequency (%)
) 42
38.2%
( 41
37.3%
15
 
13.6%
T 1
 
0.9%
W 1
 
0.9%
I 1
 
0.9%
D 1
 
0.9%
6 1
 
0.9%
R 1
 
0.9%
A 1
 
0.9%
Other values (5) 5
 
4.5%

소재지(도로명)
Text

Distinct54
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size756.0 B
2024-04-18T04:08:39.246809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length27.448718
Min length19

Characters and Unicode

Total characters2141
Distinct characters134
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)42.3%

Sample

1st row경상남도 거제시 탑곡로 26 (아주동)
2nd row경상남도 거제시 피솔길 104 3동 1층 (장평동)
3rd row경상남도 거제시 거제대로 5050 새거제 가스충전소 (장평동)
4th row경상남도 거제시 거제중앙로17길 3-1 (고현동)
5th row경상남도 거제시 옥포대첩로 1 옥포마리나아파트 상가동 103호 (옥포동)
ValueCountFrequency (%)
경상남도 78
 
16.5%
거제시 78
 
16.5%
고현동 21
 
4.4%
장평동 14
 
3.0%
2층 11
 
2.3%
옥포동 10
 
2.1%
거제대로 10
 
2.1%
일운면 8
 
1.7%
1층 7
 
1.5%
상가동 7
 
1.5%
Other values (124) 229
48.4%
2024-04-18T04:08:39.620316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
395
18.4%
거 101
 
4.7%
제 101
 
4.7%
상 88
 
4.1%
1 79
 
3.7%
도 79
 
3.7%
시 78
 
3.6%
경 78
 
3.6%
남 78
 
3.6%
동 77
 
3.6%
Other values (124) 987
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1314
61.4%
Space Separator 395
 
18.4%
Decimal Number 288
 
13.5%
Close Punctuation 61
 
2.8%
Open Punctuation 61
 
2.8%
Other Punctuation 10
 
0.5%
Dash Punctuation 6
 
0.3%
Uppercase Letter 5
 
0.2%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 101
 
7.7%
제 101
 
7.7%
상 88
 
6.7%
도 79
 
6.0%
시 78
 
5.9%
경 78
 
5.9%
남 78
 
5.9%
동 77
 
5.9%
로 68
 
5.2%
포 39
 
3.0%
Other values (105) 527
40.1%
Decimal Number
ValueCountFrequency (%)
1 79
27.4%
2 44
15.3%
3 30
 
10.4%
0 25
 
8.7%
5 25
 
8.7%
7 21
 
7.3%
9 18
 
6.2%
6 17
 
5.9%
8 16
 
5.6%
4 13
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
G 2
40.0%
S 2
40.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
， 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1314
61.4%
Common 821
38.3%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 101
 
7.7%
제 101
 
7.7%
상 88
 
6.7%
도 79
 
6.0%
시 78
 
5.9%
경 78
 
5.9%
남 78
 
5.9%
동 77
 
5.9%
로 68
 
5.2%
포 39
 
3.0%
Other values (105) 527
40.1%
Common
ValueCountFrequency (%)
395
48.1%
1 79
 
9.6%
) 61
 
7.4%
( 61
 
7.4%
2 44
 
5.4%
3 30
 
3.7%
0 25
 
3.0%
5 25
 
3.0%
7 21
 
2.6%
9 18
 
2.2%
Other values (5) 62
 
7.6%
Latin
ValueCountFrequency (%)
G 2
33.3%
S 2
33.3%
C 1
16.7%
e 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1314
61.4%
ASCII 817
38.2%
None 10
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
395
48.3%
1 79
 
9.7%
) 61
 
7.5%
( 61
 
7.5%
2 44
 
5.4%
3 30
 
3.7%
0 25
 
3.1%
5 25
 
3.1%
7 21
 
2.6%
9 18
 
2.2%
Other values (8) 58
 
7.1%
Hangul
ValueCountFrequency (%)
거 101
 
7.7%
제 101
 
7.7%
상 88
 
6.7%
도 79
 
6.0%
시 78
 
5.9%
경 78
 
5.9%
남 78
 
5.9%
동 77
 
5.9%
로 68
 
5.2%
포 39
 
3.0%
Other values (105) 527
40.1%
None
ValueCountFrequency (%)
， 10
100.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.887656
Minimum34.833591
Maximum34.969441
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-18T04:08:39.732774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum34.833591
5-th percentile34.849366
Q134.880012
median34.890217
Q334.894496
95-th percentile34.931372
Maximum34.969441
Range0.13585
Interquartile range (IQR)0.014484

Descriptive statistics

Standard deviation0.022731317
Coefficient of variation (CV)0.00065155759
Kurtosis2.0632434
Mean34.887656
Median Absolute Deviation (MAD)0.008858
Skewness0.26533764
Sum2721.2371
Variance0.00051671276
MonotonicityNot monotonic
2024-04-18T04:08:39.846245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
34.902124 4
 
5.1%
34.931372 3
 
3.8%
34.894458 3
 
3.8%
34.850966 3
 
3.8%
34.891027 2
 
2.6%
34.913782 2
 
2.6%
34.889956 2
 
2.6%
34.888899 2
 
2.6%
34.881272 2
 
2.6%
34.893739 2
 
2.6%
Other values (38) 53
67.9%
ValueCountFrequency (%)
34.833591 1
 
1.3%
34.835882 1
 
1.3%
34.839496 1
 
1.3%
34.840299 1
 
1.3%
34.850966 3
3.8%
34.852808 1
 
1.3%
34.862677 1
 
1.3%
34.864481 1
 
1.3%
34.864549 1
 
1.3%
34.864592 2
2.6%
ValueCountFrequency (%)
34.969441 1
 
1.3%
34.935668 1
 
1.3%
34.931372 3
3.8%
34.914498 2
2.6%
34.914 1
 
1.3%
34.913782 2
2.6%
34.903206 1
 
1.3%
34.902124 4
5.1%
34.898125 1
 
1.3%
34.894671 2
2.6%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.65175
Minimum128.5245
Maximum128.73652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2024-04-18T04:08:39.966832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5245
5-th percentile128.58414
Q1128.61998
median128.64411
Q3128.69405
95-th percentile128.72559
Maximum128.73652
Range0.212025
Interquartile range (IQR)0.074072

Descriptive statistics

Standard deviation0.050211265
Coefficient of variation (CV)0.00039028823
Kurtosis-0.27082516
Mean128.65175
Median Absolute Deviation (MAD)0.040683
Skewness-0.36676669
Sum10034.837
Variance0.0025211712
MonotonicityNot monotonic
2024-04-18T04:08:40.073638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
128.584142 4
 
5.1%
128.524496 3
 
3.8%
128.614111 3
 
3.8%
128.709546 3
 
3.8%
128.61539 2
 
2.6%
128.675557 2
 
2.6%
128.619978 2
 
2.6%
128.621342 2
 
2.6%
128.621956 2
 
2.6%
128.687638 2
 
2.6%
Other values (38) 53
67.9%
ValueCountFrequency (%)
128.524496 3
3.8%
128.584142 4
5.1%
128.587698 2
2.6%
128.606018 1
 
1.3%
128.614111 3
3.8%
128.61539 2
2.6%
128.615911 2
2.6%
128.619836 2
2.6%
128.619978 2
2.6%
128.621342 2
2.6%
ValueCountFrequency (%)
128.736521 2
2.6%
128.731086 2
2.6%
128.724615 1
 
1.3%
128.721564 1
 
1.3%
128.718749 1
 
1.3%
128.709546 3
3.8%
128.701462 1
 
1.3%
128.701285 1
 
1.3%
128.699978 1
 
1.3%
128.699383 1
 
1.3%

전화번호
Text

MISSING 

Distinct53
Distinct (%)69.7%
Missing2
Missing (%)2.6%
Memory size756.0 B
2024-04-18T04:08:40.258603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.013158
Min length12

Characters and Unicode

Total characters913
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

Unique31 ?
Unique (%)40.8%

Sample

1st row055-682-1150
2nd row055-638-6070
3rd row055-637-2001
4th row055-687-6209
5th row055-688-5441
ValueCountFrequency (%)
055-638-1833 3
 
3.9%
055-633-0009 2
 
2.6%
055-637-1001 2
 
2.6%
055-682-2351 2
 
2.6%
055-688-6188 2
 
2.6%
055-635-8119 2
 
2.6%
055-633-7676 2
 
2.6%
055-638-2999 2
 
2.6%
055-643-4011 2
 
2.6%
055-637-7997 2
 
2.6%
Other values (43) 55
72.4%
2024-04-18T04:08:40.584535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 177
19.4%
- 152
16.6%
0 118
12.9%
6 107
11.7%
3 85
9.3%
8 71
7.8%
1 50
 
5.5%
7 49
 
5.4%
2 44
 
4.8%
9 31
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 761
83.4%
Dash Punctuation 152
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 177
23.3%
0 118
15.5%
6 107
14.1%
3 85
11.2%
8 71
9.3%
1 50
 
6.6%
7 49
 
6.4%
2 44
 
5.8%
9 31
 
4.1%
4 29
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 177
19.4%
- 152
16.6%
0 118
12.9%
6 107
11.7%
3 85
9.3%
8 71
7.8%
1 50
 
5.5%
7 49
 
5.4%
2 44
 
4.8%
9 31
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 177
19.4%
- 152
16.6%
0 118
12.9%
6 107
11.7%
3 85
9.3%
8 71
7.8%
1 50
 
5.5%
7 49
 
5.4%
2 44
 
4.8%
9 31
 
3.4%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size756.0 B
Minimum2021-09-06 00:00:00
Maximum2021-09-06 00:00:00
2024-04-18T04:08:40.685337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:08:40.748805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-18T04:08:37.988992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:08:37.858862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:08:38.049485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T04:08:37.927091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T04:08:40.812344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록일자업종상호소재지(도로명)위도경도전화번호
등록일자1.0000.0000.9990.9940.9970.9970.996
업종0.0001.0000.0000.0000.0000.0000.000
상호0.9990.0001.0000.9981.0001.0000.999
소재지(도로명)0.9940.0000.9981.0001.0001.0000.997
위도0.9970.0001.0001.0001.0000.8041.000
경도0.9970.0001.0001.0000.8041.0001.000
전화번호0.9960.0000.9990.9971.0001.0001.000
2024-04-18T04:08:40.895506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.000-0.5060.000
경도-0.5061.0000.000
업종0.0000.0001.000

Missing values

2024-04-18T04:08:38.124255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T04:08:38.213582image/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

등록일자업종상호소재지(도로명)위도경도전화번호기준일
02019-06-18국내여행업(주)양지투어경상남도 거제시 탑곡로 26 (아주동)34.864549128.695623055-682-11502021-09-06
12018-08-28국내여행업주식회사 강남투어경상남도 거제시 피솔길 104 3동 1층 (장평동)34.902124128.584142055-638-60702021-09-06
22018-02-09국내여행업(주)에이스여행사경상남도 거제시 거제대로 5050 새거제 가스충전소 (장평동)34.894508128.587698055-637-20012021-09-06
32017-09-25국내여행업주식회사 거제밴투어경상남도 거제시 거제중앙로17길 3-1 (고현동)34.884758128.624448055-687-62092021-09-06
42017-03-02국내여행업더월드투어경상남도 거제시 옥포대첩로 1 옥포마리나아파트 상가동 103호 (옥포동)34.893363128.687791055-688-54412021-09-06
52016-11-15국내여행업참조은여행사경상남도 거제시 중곡로 14 상가동 2층 201호 (고현동 고려아파트)34.894671128.630996055-636-85322021-09-06
62016-05-31국내여행업아이러브거제경상남도 거제시 일운면 옥림3길 37-334.852808128.718749055-681-76402021-09-06
72016-05-23국내여행업투어팩토리경상남도 거제시 아주2로 110 115동 105호 (아주동 아주덕진봄아파트상가동)34.870178128.6798055-682-34332021-09-06
82015-07-17국내여행업경남전세버스협동조합경상남도 거제시 장평1로 57， 2층 (장평동)34.894458128.614111055-638-18332021-09-06
92015-07-16국내여행업가자여행사경상남도 거제시 아주로 67 진아빌딩 3층 (아주동)34.864592128.687578055-681-22342021-09-06
등록일자업종상호소재지(도로명)위도경도전화번호기준일
682018-10-22일반여행업주식회사 엔젤경상남도 거제시 거제중앙로5길 9 (상동동)34.877964128.627679055-636-33222021-09-06
692017-07-19일반여행업고고트레블주식회사경상남도 거제시 성산로 33 112동 102호 (옥포동 e편한세상 옥포아파트 1단지)34.898125128.695323055-687-76692021-09-06
702017-06-09일반여행업주식회사 포우경상남도 거제시 일운면 거제대로 2631 라마다호텔 2층34.840299128.699383055-681-70802021-09-06
712017-05-31일반여행업경남 전세버스 협동조합경상남도 거제시 장평1로 57， 2층 (장평동)34.894458128.614111055-638-18332021-09-06
722016-10-18일반여행업(주)드림투어경상남도 거제시 동문1길 6 에스엠빌 202호 (고현동)34.884136128.625747055-688-52922021-09-06
732014-07-28일반여행업외국트레블경상남도 거제시 일운면 지세포해안로 3834.833591128.701285<NA>2021-09-06
742014-06-24일반여행업(주)동백관광경상남도 거제시 사등면 가조로 21634.931372128.524496055-633-66222021-09-06
752010-03-24일반여행업웰리브투어경상남도 거제시 서간도길 78 (옥포동)34.890489128.687621055-687-05052021-09-06
762009-12-28일반여행업365투어경상남도 거제시 거제대로 3791 (옥포동， 거제박물관)34.89404128.686211055-688-32652021-09-06
772020-03-23일반여행업WID TRAVEL경상남도 거제시 장목면 옥포대첩로 1321， 2층34.969441128.699978<NA>2021-09-06