Overview

Dataset statistics

Number of variables8
Number of observations108
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory67.2 B

Variable types

Categorical2
Text3
Numeric2
DateTime1

Dataset

Description경상남도 김해시 여행업 현황에 대한 데이터로 업종,상호명,전화번호,지번주소,도로명주소,위도,경도,등록번호,등록일자에 대한 정보를 제공합니다
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15092298

Alerts

영업상태명 has constant value ""Constant
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:15:26.411393
Analysis finished2023-12-11 00:15:28.047721
Duration1.64 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
국내외여행업
57 
종합여행업
32 
국내여행업
19 

Length

Max length6
Median length6
Mean length5.5277778
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 57
52.8%
종합여행업 32
29.6%
국내여행업 19
 
17.6%

Length

2023-12-11T09:15:28.115246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:28.235162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 57
52.8%
종합여행업 32
29.6%
국내여행업 19
 
17.6%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
영업/정상
108 

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 108
100.0%

Length

2023-12-11T09:15:28.348045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:28.446177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 108
100.0%

상호명
Text

Distinct99
Distinct (%)91.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T09:15:28.646893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length14
Mean length8.3796296
Min length2

Characters and Unicode

Total characters905
Distinct characters192
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

Unique90 ?
Unique (%)83.3%

Sample

1st row광재고속관광(주)
2nd row(주)은하고속관광
3rd row김해 새부산관광(주)
4th row(주)뉴가야고속관광
5th row(주)명성여행사
ValueCountFrequency (%)
주식회사 18
 
12.1%
tour 4
 
2.7%
여행사 3
 
2.0%
주)코리아투어해반천여행사 2
 
1.3%
모아에듀투어 2
 
1.3%
앤 2
 
1.3%
주)투어피플여행사 2
 
1.3%
투어 2
 
1.3%
주)어깨동무여행사 2
 
1.3%
동아고속관광(주 2
 
1.3%
Other values (105) 110
73.8%
2023-12-11T09:15:29.046217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 67
 
7.4%
사 62
 
6.9%
) 50
 
5.5%
여 50
 
5.5%
( 50
 
5.5%
행 49
 
5.4%
41
 
4.5%
어 40
 
4.4%
투 39
 
4.3%
회 20
 
2.2%
Other values (182) 437
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
80.3%
Close Punctuation 50
 
5.5%
Open Punctuation 50
 
5.5%
Space Separator 41
 
4.5%
Uppercase Letter 26
 
2.9%
Lowercase Letter 8
 
0.9%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 67
 
9.2%
사 62
 
8.5%
여 50
 
6.9%
행 49
 
6.7%
어 40
 
5.5%
투 39
 
5.4%
회 20
 
2.8%
식 18
 
2.5%
아 15
 
2.1%
광 12
 
1.7%
Other values (158) 355
48.8%
Uppercase Letter
ValueCountFrequency (%)
T 5
19.2%
U 4
15.4%
O 4
15.4%
R 3
11.5%
N 3
11.5%
A 2
 
7.7%
B 1
 
3.8%
M 1
 
3.8%
V 1
 
3.8%
D 1
 
3.8%
Lowercase Letter
ValueCountFrequency (%)
r 2
25.0%
u 1
12.5%
o 1
12.5%
d 1
12.5%
n 1
12.5%
e 1
12.5%
i 1
12.5%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
, 1
33.3%
. 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Space Separator
ValueCountFrequency (%)
41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
80.3%
Common 144
 
15.9%
Latin 34
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 67
 
9.2%
사 62
 
8.5%
여 50
 
6.9%
행 49
 
6.7%
어 40
 
5.5%
투 39
 
5.4%
회 20
 
2.8%
식 18
 
2.5%
아 15
 
2.1%
광 12
 
1.7%
Other values (158) 355
48.8%
Latin
ValueCountFrequency (%)
T 5
14.7%
U 4
11.8%
O 4
11.8%
R 3
 
8.8%
N 3
 
8.8%
r 2
 
5.9%
A 2
 
5.9%
B 1
 
2.9%
M 1
 
2.9%
V 1
 
2.9%
Other values (8) 8
23.5%
Common
ValueCountFrequency (%)
) 50
34.7%
( 50
34.7%
41
28.5%
& 1
 
0.7%
, 1
 
0.7%
. 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
80.3%
ASCII 178
 
19.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 67
 
9.2%
사 62
 
8.5%
여 50
 
6.9%
행 49
 
6.7%
어 40
 
5.5%
투 39
 
5.4%
회 20
 
2.8%
식 18
 
2.5%
아 15
 
2.1%
광 12
 
1.7%
Other values (158) 355
48.8%
ASCII
ValueCountFrequency (%)
) 50
28.1%
( 50
28.1%
41
23.0%
T 5
 
2.8%
U 4
 
2.2%
O 4
 
2.2%
R 3
 
1.7%
N 3
 
1.7%
r 2
 
1.1%
A 2
 
1.1%
Other values (14) 14
 
7.9%

도로명주소
Text

Distinct100
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T09:15:29.448707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39.5
Mean length31.537037
Min length21

Characters and Unicode

Total characters3406
Distinct characters176
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

Unique92 ?
Unique (%)85.2%

Sample

1st row경상남도 김해시 전하로304번길 19, 1층 114호 (외동)
2nd row경상남도 김해시 금관대로1368번길 14 (내동)
3rd row경상남도 김해시 가락로 331 (구산동)
4th row경상남도 김해시 김해대로 2387-1, 4층 (부원동)
5th row경상남도 김해시 진영읍 여래로20번길 16, 1층
ValueCountFrequency (%)
경상남도 108
 
15.6%
김해시 108
 
15.6%
1층 21
 
3.0%
2층 14
 
2.0%
김해대로 11
 
1.6%
서상동 10
 
1.4%
삼계동 10
 
1.4%
부원동 9
 
1.3%
가락로 9
 
1.3%
대청동 9
 
1.3%
Other values (246) 385
55.5%
2023-12-11T09:15:30.039926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
586
 
17.2%
1 155
 
4.6%
해 127
 
3.7%
상 126
 
3.7%
김 125
 
3.7%
동 114
 
3.3%
시 112
 
3.3%
경 111
 
3.3%
남 108
 
3.2%
도 108
 
3.2%
Other values (166) 1734
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
55.3%
Decimal Number 617
 
18.1%
Space Separator 586
 
17.2%
Other Punctuation 98
 
2.9%
Open Punctuation 98
 
2.9%
Close Punctuation 98
 
2.9%
Dash Punctuation 23
 
0.7%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 127
 
6.7%
상 126
 
6.7%
김 125
 
6.6%
동 114
 
6.1%
시 112
 
5.9%
경 111
 
5.9%
남 108
 
5.7%
도 108
 
5.7%
로 108
 
5.7%
호 53
 
2.8%
Other values (148) 791
42.0%
Decimal Number
ValueCountFrequency (%)
1 155
25.1%
2 105
17.0%
0 77
12.5%
3 70
11.3%
4 49
 
7.9%
5 44
 
7.1%
7 36
 
5.8%
6 32
 
5.2%
9 26
 
4.2%
8 23
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
I 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
586
100.0%
Other Punctuation
ValueCountFrequency (%)
, 98
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
55.3%
Common 1520
44.6%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 127
 
6.7%
상 126
 
6.7%
김 125
 
6.6%
동 114
 
6.1%
시 112
 
5.9%
경 111
 
5.9%
남 108
 
5.7%
도 108
 
5.7%
로 108
 
5.7%
호 53
 
2.8%
Other values (148) 791
42.0%
Common
ValueCountFrequency (%)
586
38.6%
1 155
 
10.2%
2 105
 
6.9%
, 98
 
6.4%
( 98
 
6.4%
) 98
 
6.4%
0 77
 
5.1%
3 70
 
4.6%
4 49
 
3.2%
5 44
 
2.9%
Other values (5) 140
 
9.2%
Latin
ValueCountFrequency (%)
B 1
33.3%
I 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1883
55.3%
ASCII 1523
44.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
586
38.5%
1 155
 
10.2%
2 105
 
6.9%
, 98
 
6.4%
( 98
 
6.4%
) 98
 
6.4%
0 77
 
5.1%
3 70
 
4.6%
4 49
 
3.2%
5 44
 
2.9%
Other values (8) 143
 
9.4%
Hangul
ValueCountFrequency (%)
해 127
 
6.7%
상 126
 
6.7%
김 125
 
6.6%
동 114
 
6.1%
시 112
 
5.9%
경 111
 
5.9%
남 108
 
5.7%
도 108
 
5.7%
로 108
 
5.7%
호 53
 
2.8%
Other values (148) 791
42.0%

위도
Real number (ℝ)

Distinct90
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.234512
Minimum35.169554
Maximum35.307876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:15:30.216588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.169554
5-th percentile35.177001
Q135.226637
median35.234155
Q335.249133
95-th percentile35.304861
Maximum35.307876
Range0.13832221
Interquartile range (IQR)0.022495828

Descriptive statistics

Standard deviation0.031529052
Coefficient of variation (CV)0.00089483435
Kurtosis0.52721518
Mean35.234512
Median Absolute Deviation (MAD)0.011837965
Skewness0.19528021
Sum3805.3273
Variance0.0009940811
MonotonicityNot monotonic
2023-12-11T09:15:30.405108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.2079374 3
 
2.8%
35.23441179 2
 
1.9%
35.26093144 2
 
1.9%
35.23501388 2
 
1.9%
35.1837595 2
 
1.9%
35.22866164 2
 
1.9%
35.22933633 2
 
1.9%
35.24943325 2
 
1.9%
35.30667844 2
 
1.9%
35.24637731 2
 
1.9%
Other values (80) 87
80.6%
ValueCountFrequency (%)
35.16955416 1
0.9%
35.17191703 1
0.9%
35.17249475 2
1.9%
35.17457201 1
0.9%
35.17678409 1
0.9%
35.17740279 1
0.9%
35.1837595 2
1.9%
35.18472485 1
0.9%
35.18761249 1
0.9%
35.19185085 1
0.9%
ValueCountFrequency (%)
35.30787637 1
0.9%
35.30723089 1
0.9%
35.30667844 2
1.9%
35.30528155 1
0.9%
35.30486077 2
1.9%
35.30352703 1
0.9%
35.27780708 1
0.9%
35.26543448 1
0.9%
35.26116473 1
0.9%
35.26101579 1
0.9%

경도
Real number (ℝ)

Distinct90
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.85366
Minimum128.71518
Maximum128.92684
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T09:15:30.575949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.71518
5-th percentile128.73659
Q1128.82295
median128.87111
Q3128.8821
95-th percentile128.90474
Maximum128.92684
Range0.2116587
Interquartile range (IQR)0.0591497

Descriptive statistics

Standard deviation0.046563143
Coefficient of variation (CV)0.00036136454
Kurtosis1.0571151
Mean128.85366
Median Absolute Deviation (MAD)0.0125704
Skewness-1.2528872
Sum13916.195
Variance0.0021681263
MonotonicityNot monotonic
2023-12-11T09:15:30.749151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.8299538 3
 
2.8%
128.8821014 2
 
1.9%
128.8708388 2
 
1.9%
128.8811192 2
 
1.9%
128.7940348 2
 
1.9%
128.9039553 2
 
1.9%
128.8722472 2
 
1.9%
128.8728364 2
 
1.9%
128.7365933 2
 
1.9%
128.9119207 2
 
1.9%
Other values (80) 87
80.6%
ValueCountFrequency (%)
128.7151775 1
0.9%
128.7285928 1
0.9%
128.7293246 1
0.9%
128.7331131 2
1.9%
128.7365933 2
1.9%
128.771166 1
0.9%
128.7893176 1
0.9%
128.7940348 2
1.9%
128.7997411 1
0.9%
128.8001605 1
0.9%
ValueCountFrequency (%)
128.9268362 1
0.9%
128.9237767 1
0.9%
128.9119207 2
1.9%
128.9095695 1
0.9%
128.9051686 1
0.9%
128.9039553 2
1.9%
128.9034705 1
0.9%
128.9006385 1
0.9%
128.8990837 1
0.9%
128.8972423 1
0.9%

등록번호
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2023-12-11T09:15:31.015575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length17
Mean length17
Min length17

Characters and Unicode

Total characters1836
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

Unique108 ?
Unique (%)100.0%

Sample

1st row26001-2005-000005
2nd row26001-2009-000002
3rd row26001-2010-000005
4th row26001-2012-000001
5th row26001-2013-000003
ValueCountFrequency (%)
26001-2005-000005 1
 
0.9%
26002-2021-000002 1
 
0.9%
26004-2013-000002 1
 
0.9%
26004-2012-000002 1
 
0.9%
26004-2012-000001 1
 
0.9%
26004-2006-000001 1
 
0.9%
26002-2023-000002 1
 
0.9%
26002-2023-000001 1
 
0.9%
26002-2022-000004 1
 
0.9%
26002-2022-000003 1
 
0.9%
Other values (98) 98
90.7%
2023-12-11T09:15:31.450767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 889
48.4%
2 341
 
18.6%
- 216
 
11.8%
6 121
 
6.6%
1 115
 
6.3%
4 53
 
2.9%
3 31
 
1.7%
7 22
 
1.2%
5 18
 
1.0%
9 16
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1620
88.2%
Dash Punctuation 216
 
11.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 889
54.9%
2 341
 
21.0%
6 121
 
7.5%
1 115
 
7.1%
4 53
 
3.3%
3 31
 
1.9%
7 22
 
1.4%
5 18
 
1.1%
9 16
 
1.0%
8 14
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1836
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 889
48.4%
2 341
 
18.6%
- 216
 
11.8%
6 121
 
6.6%
1 115
 
6.3%
4 53
 
2.9%
3 31
 
1.7%
7 22
 
1.2%
5 18
 
1.0%
9 16
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1836
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 889
48.4%
2 341
 
18.6%
- 216
 
11.8%
6 121
 
6.6%
1 115
 
6.3%
4 53
 
2.9%
3 31
 
1.7%
7 22
 
1.2%
5 18
 
1.0%
9 16
 
0.9%

등록일자
Date

Distinct98
Distinct (%)90.7%
Missing0
Missing (%)0.0%
Memory size996.0 B
Minimum2002-12-31 00:00:00
Maximum2023-08-17 00:00:00
2023-12-11T09:15:31.630409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:31.794528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T09:15:27.619513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:27.459796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:27.702584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:27.544331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:15:31.920854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종상호명도로명주소위도경도등록일자
업종1.0000.0000.0000.0000.0000.000
상호명0.0001.0001.0001.0001.0000.999
도로명주소0.0001.0001.0001.0001.0000.999
위도0.0001.0001.0001.0000.8680.993
경도0.0001.0001.0000.8681.0000.978
등록일자0.0000.9990.9990.9930.9781.000
2023-12-11T09:15:32.036515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종
위도1.0000.0370.000
경도0.0371.0000.000
업종0.0000.0001.000

Missing values

2023-12-11T09:15:27.834485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:15:27.999303image/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

업종영업상태명상호명도로명주소위도경도등록번호등록일자
0국내여행업영업/정상광재고속관광(주)경상남도 김해시 전하로304번길 19, 1층 114호 (외동)35.231083128.87122226001-2005-0000052005-09-30
1국내여행업영업/정상(주)은하고속관광경상남도 김해시 금관대로1368번길 14 (내동)35.244419128.86816826001-2009-0000022009-10-12
2국내여행업영업/정상김해 새부산관광(주)경상남도 김해시 가락로 331 (구산동)35.254377128.87098826001-2010-0000052010-12-09
3국내여행업영업/정상(주)뉴가야고속관광경상남도 김해시 김해대로 2387-1, 4층 (부원동)35.227157128.88805426001-2012-0000012012-03-16
4국내여행업영업/정상(주)명성여행사경상남도 김해시 진영읍 여래로20번길 16, 1층35.304861128.73311326001-2013-0000032013-05-20
5국내여행업영업/정상강우진여행사경상남도 김해시 율하1로 10-1 (율하동)35.172495128.80720926001-2013-0000082013-08-26
6국내여행업영업/정상(주)명품여행사경상남도 김해시 가락로 6, 1,2층 (부원동)35.22697128.88281226001-2014-0000012014-03-24
7국내여행업영업/정상동아고속관광(주)경상남도 김해시 금관대로 749, 103호 (내덕동)35.207937128.82995426001-2014-0000032014-05-27
8국내여행업영업/정상낙동투어(주)경상남도 김해시 김해대로 2724, 2층 (지내동)35.227033128.92377726001-2015-0000012015-01-12
9국내여행업영업/정상자연과사람들경상남도 김해시 가야로 202 (삼계동)35.259608128.87183626001-2015-0000022015-04-22
업종영업상태명상호명도로명주소위도경도등록번호등록일자
98종합여행업영업/정상모두여행경상남도 김해시 인제로 5, 1층 (어방동)35.229103128.90516926004-2021-0000012021-12-09
99종합여행업영업/정상위드골프경상남도 김해시 김해대로 2533, 2층 201호 (어방동)35.228662128.90395526004-2021-0000022021-12-13
100종합여행업영업/정상한솔여행사경상남도 김해시 번화1로44번길 32, 대명프라자 6층 (대청동)35.191851128.80408426004-2022-0000012022-02-07
101종합여행업영업/정상캄보디아여행사경상남도 김해시 가락로86번길 5-8 (서상동)35.234412128.88210126004-2022-0000022022-04-04
102종합여행업영업/정상(주)하늘길 여행사경상남도 김해시 삼계중앙로 46, 102호 (삼계동)35.260351128.87012926004-2022-0000032022-05-30
103종합여행업영업/정상길 조경 투어경상남도 김해시 주촌면 서부로1701번길 19435.253338128.83040626004-2022-0000042022-11-21
104종합여행업영업/정상여행가자경상남도 김해시 김해대로 2330, 롯데마트 1층 (부원동)35.225542128.88204926004-2022-0000052022-12-29
105종합여행업영업/정상비싸이투어경상남도 김해시 가락로86번길 5-8, 1층 (서상동)35.234412128.88210126004-2023-0000012023-01-13
106종합여행업영업/정상주식회사 탑코리아경상남도 김해시 분성로 345-1, 2층 (동상동)35.23386128.8835926004-2023-0000022023-03-21
107종합여행업영업/정상주식회사 여유닷컴경상남도 김해시 함박로 50, 202호 (외동)35.232817128.85951926004-2023-0000032023-04-10