Overview

Dataset statistics

Number of variables7
Number of observations630
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.2 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Categorical2
Text3
DateTime1

Dataset

Description광주광역시에 등록한 여행업 현황입니다.업종중분류별 업체명, 소재지도로명주소 등의 정보를 제공합니다.
Author광주광역시
URLhttps://www.data.go.kr/data/3082927/fileData.do

Alerts

지역 has constant value ""Constant
데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:53:34.010478
Analysis finished2023-12-12 13:53:34.834418
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct630
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315.5
Minimum1
Maximum630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.7 KiB
2023-12-12T22:53:34.917727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.45
Q1158.25
median315.5
Q3472.75
95-th percentile598.55
Maximum630
Range629
Interquartile range (IQR)314.5

Descriptive statistics

Standard deviation182.00962
Coefficient of variation (CV)0.5768926
Kurtosis-1.2
Mean315.5
Median Absolute Deviation (MAD)157.5
Skewness0
Sum198765
Variance33127.5
MonotonicityStrictly increasing
2023-12-12T22:53:35.118495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
425 1
 
0.2%
418 1
 
0.2%
419 1
 
0.2%
420 1
 
0.2%
421 1
 
0.2%
422 1
 
0.2%
423 1
 
0.2%
424 1
 
0.2%
426 1
 
0.2%
Other values (620) 620
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
630 1
0.2%
629 1
0.2%
628 1
0.2%
627 1
0.2%
626 1
0.2%
625 1
0.2%
624 1
0.2%
623 1
0.2%
622 1
0.2%
621 1
0.2%

지역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
광주광역시
630 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
광주광역시 630
100.0%

Length

2023-12-12T22:53:35.248076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:35.354032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
광주광역시 630
100.0%

업종중분류
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
국내외여행업
282 
국내여행업
227 
종합여행업
112 
국외여행업
 
9

Length

Max length6
Median length5
Mean length5.447619
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 282
44.8%
국내여행업 227
36.0%
종합여행업 112
 
17.8%
국외여행업 9
 
1.4%

Length

2023-12-12T22:53:35.468842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:53:35.578910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 282
44.8%
국내여행업 227
36.0%
종합여행업 112
 
17.8%
국외여행업 9
 
1.4%

업체명
Text

Distinct444
Distinct (%)70.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T22:53:35.813393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length8.647619
Min length3

Characters and Unicode

Total characters5448
Distinct characters354
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)41.1%

Sample

1st row(주)다도해외여행사
2nd row(주)다모아 해외 여행사
3rd row(합)아시아 관광 여행사
4th row(주)국제항공 여행사
5th row(주)가자항공여행사
ValueCountFrequency (%)
주식회사 82
 
10.0%
유한회사 28
 
3.4%
여행사 25
 
3.1%
투어 7
 
0.9%
앤 5
 
0.6%
세계로 4
 
0.5%
협동조합 3
 
0.4%
주)임해관광 3
 
0.4%
월드투어 2
 
0.2%
주)시티항공 2
 
0.2%
Other values (461) 656
80.3%
2023-12-12T22:53:36.279083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 466
 
8.6%
) 431
 
7.9%
( 425
 
7.8%
사 338
 
6.2%
행 271
 
5.0%
여 269
 
4.9%
어 195
 
3.6%
투 195
 
3.6%
187
 
3.4%
유 125
 
2.3%
Other values (344) 2546
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4358
80.0%
Close Punctuation 431
 
7.9%
Open Punctuation 425
 
7.8%
Space Separator 187
 
3.4%
Uppercase Letter 25
 
0.5%
Decimal Number 10
 
0.2%
Lowercase Letter 9
 
0.2%
Dash Punctuation 1
 
< 0.1%
Other Symbol 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 466
 
10.7%
사 338
 
7.8%
행 271
 
6.2%
여 269
 
6.2%
어 195
 
4.5%
투 195
 
4.5%
유 125
 
2.9%
광 124
 
2.8%
회 112
 
2.6%
이 95
 
2.2%
Other values (314) 2168
49.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
16.0%
T 3
12.0%
B 3
12.0%
A 3
12.0%
S 2
8.0%
O 2
8.0%
K 2
8.0%
R 1
 
4.0%
U 1
 
4.0%
I 1
 
4.0%
Other values (3) 3
12.0%
Lowercase Letter
ValueCountFrequency (%)
r 2
22.2%
o 2
22.2%
u 2
22.2%
a 1
11.1%
g 1
11.1%
e 1
11.1%
Decimal Number
ValueCountFrequency (%)
8 4
40.0%
1 3
30.0%
4 1
 
10.0%
3 1
 
10.0%
5 1
 
10.0%
Close Punctuation
ValueCountFrequency (%)
) 431
100.0%
Open Punctuation
ValueCountFrequency (%)
( 425
100.0%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4353
79.9%
Common 1055
 
19.4%
Latin 34
 
0.6%
Han 6
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 466
 
10.7%
사 338
 
7.8%
행 271
 
6.2%
여 269
 
6.2%
어 195
 
4.5%
투 195
 
4.5%
유 125
 
2.9%
광 124
 
2.8%
회 112
 
2.6%
이 95
 
2.2%
Other values (310) 2163
49.7%
Latin
ValueCountFrequency (%)
C 4
11.8%
T 3
 
8.8%
B 3
 
8.8%
A 3
 
8.8%
S 2
 
5.9%
O 2
 
5.9%
r 2
 
5.9%
K 2
 
5.9%
o 2
 
5.9%
u 2
 
5.9%
Other values (9) 9
26.5%
Common
ValueCountFrequency (%)
) 431
40.9%
( 425
40.3%
187
17.7%
8 4
 
0.4%
1 3
 
0.3%
- 1
 
0.1%
& 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
5 1
 
0.1%
Han
ValueCountFrequency (%)
玩 2
33.3%
行 1
16.7%
旅 1
16.7%
樂 1
16.7%
社 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4352
79.9%
ASCII 1089
 
20.0%
CJK 4
 
0.1%
CJK Compat Ideographs 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 466
 
10.7%
사 338
 
7.8%
행 271
 
6.2%
여 269
 
6.2%
어 195
 
4.5%
투 195
 
4.5%
유 125
 
2.9%
광 124
 
2.8%
회 112
 
2.6%
이 95
 
2.2%
Other values (309) 2162
49.7%
ASCII
ValueCountFrequency (%)
) 431
39.6%
( 425
39.0%
187
17.2%
C 4
 
0.4%
8 4
 
0.4%
T 3
 
0.3%
1 3
 
0.3%
B 3
 
0.3%
A 3
 
0.3%
S 2
 
0.2%
Other values (19) 24
 
2.2%
CJK
ValueCountFrequency (%)
玩 2
50.0%
行 1
25.0%
社 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
旅 1
50.0%
樂 1
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

Distinct426
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T22:53:36.659705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length3
Mean length3.0698413
Min length2

Characters and Unicode

Total characters1934
Distinct characters172
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique233 ?
Unique (%)37.0%

Sample

1st row이재홍
2nd row김해연
3rd row김정희
4th row송원식
5th row고재완
ValueCountFrequency (%)
1명 10
 
1.5%
외 10
 
1.5%
박재홍 4
 
0.6%
윤영철 4
 
0.6%
이용관 4
 
0.6%
여만영 3
 
0.5%
박제우 3
 
0.5%
김홍주 3
 
0.5%
김정숙 3
 
0.5%
서경호 3
 
0.5%
Other values (419) 604
92.8%
2023-12-12T22:53:37.239187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 138
 
7.1%
정 82
 
4.2%
이 71
 
3.7%
박 57
 
2.9%
영 53
 
2.7%
현 43
 
2.2%
재 42
 
2.2%
경 41
 
2.1%
희 36
 
1.9%
성 33
 
1.7%
Other values (162) 1338
69.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1894
97.9%
Space Separator 21
 
1.1%
Decimal Number 10
 
0.5%
Uppercase Letter 9
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 138
 
7.3%
정 82
 
4.3%
이 71
 
3.7%
박 57
 
3.0%
영 53
 
2.8%
현 43
 
2.3%
재 42
 
2.2%
경 41
 
2.2%
희 36
 
1.9%
성 33
 
1.7%
Other values (152) 1298
68.5%
Uppercase Letter
ValueCountFrequency (%)
H 2
22.2%
Y 1
11.1%
N 1
11.1%
A 1
11.1%
I 1
11.1%
Z 1
11.1%
C 1
11.1%
E 1
11.1%
Space Separator
ValueCountFrequency (%)
21
100.0%
Decimal Number
ValueCountFrequency (%)
1 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1894
97.9%
Common 31
 
1.6%
Latin 9
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 138
 
7.3%
정 82
 
4.3%
이 71
 
3.7%
박 57
 
3.0%
영 53
 
2.8%
현 43
 
2.3%
재 42
 
2.2%
경 41
 
2.2%
희 36
 
1.9%
성 33
 
1.7%
Other values (152) 1298
68.5%
Latin
ValueCountFrequency (%)
H 2
22.2%
Y 1
11.1%
N 1
11.1%
A 1
11.1%
I 1
11.1%
Z 1
11.1%
C 1
11.1%
E 1
11.1%
Common
ValueCountFrequency (%)
21
67.7%
1 10
32.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1894
97.9%
ASCII 40
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 138
 
7.3%
정 82
 
4.3%
이 71
 
3.7%
박 57
 
3.0%
영 53
 
2.8%
현 43
 
2.3%
재 42
 
2.2%
경 41
 
2.2%
희 36
 
1.9%
성 33
 
1.7%
Other values (152) 1298
68.5%
ASCII
ValueCountFrequency (%)
21
52.5%
1 10
25.0%
H 2
 
5.0%
Y 1
 
2.5%
N 1
 
2.5%
A 1
 
2.5%
I 1
 
2.5%
Z 1
 
2.5%
C 1
 
2.5%
E 1
 
2.5%

소재지도로명주소
Text

Distinct426
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T22:53:37.581826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length43
Mean length31.046032
Min length19

Characters and Unicode

Total characters19559
Distinct characters298
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique261 ?
Unique (%)41.4%

Sample

1st row광주광역시 동구 중앙로196번길 5, 7층 (금남로3가)
2nd row광주광역시 동구 금남로169번길 8-13, 2층 (금남로5가)
3rd row광주광역시 동구 천변우로 339, 1708호 (수기동)
4th row광주광역시 동구 중앙로196번길 5, 7층 (금남로3가)
5th row광주광역시 동구 필문대로 184-1 (산수동)
ValueCountFrequency (%)
광주광역시 630
 
15.8%
서구 203
 
5.1%
동구 153
 
3.8%
북구 138
 
3.5%
치평동 94
 
2.4%
2층 93
 
2.3%
남구 70
 
1.8%
광산구 66
 
1.7%
1층 50
 
1.3%
3층 44
 
1.1%
Other values (846) 2435
61.2%
2023-12-12T22:53:38.065739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3346
 
17.1%
광 1362
 
7.0%
동 821
 
4.2%
1 728
 
3.7%
로 687
 
3.5%
구 681
 
3.5%
주 674
 
3.4%
시 659
 
3.4%
역 636
 
3.3%
) 636
 
3.3%
Other values (288) 9329
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10937
55.9%
Space Separator 3346
 
17.1%
Decimal Number 3229
 
16.5%
Close Punctuation 636
 
3.3%
Open Punctuation 636
 
3.3%
Other Punctuation 561
 
2.9%
Dash Punctuation 139
 
0.7%
Uppercase Letter 58
 
0.3%
Lowercase Letter 17
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 1362
 
12.5%
동 821
 
7.5%
로 687
 
6.3%
구 681
 
6.2%
주 674
 
6.2%
시 659
 
6.0%
역 636
 
5.8%
층 286
 
2.6%
서 276
 
2.5%
호 247
 
2.3%
Other values (250) 4608
42.1%
Uppercase Letter
ValueCountFrequency (%)
S 12
20.7%
B 7
12.1%
C 5
8.6%
E 5
8.6%
R 4
 
6.9%
H 4
 
6.9%
P 4
 
6.9%
Y 3
 
5.2%
K 3
 
5.2%
A 3
 
5.2%
Other values (5) 8
13.8%
Decimal Number
ValueCountFrequency (%)
1 728
22.5%
2 522
16.2%
3 377
11.7%
0 311
9.6%
4 278
 
8.6%
5 255
 
7.9%
6 207
 
6.4%
7 197
 
6.1%
9 178
 
5.5%
8 176
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
a 5
29.4%
y 3
17.6%
e 3
17.6%
t 2
 
11.8%
n 2
 
11.8%
i 1
 
5.9%
h 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 560
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 636
100.0%
Open Punctuation
ValueCountFrequency (%)
( 636
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10937
55.9%
Common 8547
43.7%
Latin 75
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 1362
 
12.5%
동 821
 
7.5%
로 687
 
6.3%
구 681
 
6.2%
주 674
 
6.2%
시 659
 
6.0%
역 636
 
5.8%
층 286
 
2.6%
서 276
 
2.5%
호 247
 
2.3%
Other values (250) 4608
42.1%
Latin
ValueCountFrequency (%)
S 12
16.0%
B 7
 
9.3%
a 5
 
6.7%
C 5
 
6.7%
E 5
 
6.7%
R 4
 
5.3%
H 4
 
5.3%
P 4
 
5.3%
Y 3
 
4.0%
K 3
 
4.0%
Other values (12) 23
30.7%
Common
ValueCountFrequency (%)
3346
39.1%
1 728
 
8.5%
) 636
 
7.4%
( 636
 
7.4%
, 560
 
6.6%
2 522
 
6.1%
3 377
 
4.4%
0 311
 
3.6%
4 278
 
3.3%
5 255
 
3.0%
Other values (6) 898
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10937
55.9%
ASCII 8622
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3346
38.8%
1 728
 
8.4%
) 636
 
7.4%
( 636
 
7.4%
, 560
 
6.5%
2 522
 
6.1%
3 377
 
4.4%
0 311
 
3.6%
4 278
 
3.2%
5 255
 
3.0%
Other values (28) 973
 
11.3%
Hangul
ValueCountFrequency (%)
광 1362
 
12.5%
동 821
 
7.5%
로 687
 
6.3%
구 681
 
6.2%
주 674
 
6.2%
시 659
 
6.0%
역 636
 
5.8%
층 286
 
2.6%
서 276
 
2.5%
호 247
 
2.3%
Other values (250) 4608
42.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum2021-09-30 00:00:00
Maximum2021-09-30 00:00:00
2023-12-12T22:53:38.190651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:53:38.299809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:53:34.511467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:53:38.380311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종중분류
연번1.0000.676
업종중분류0.6761.000
2023-12-12T22:53:38.479626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종중분류
연번1.0000.474
업종중분류0.4741.000

Missing values

2023-12-12T22:53:34.649812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:53:34.771009image/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

연번지역업종중분류업체명대표자소재지도로명주소데이터기준일자
01광주광역시국내여행업(주)다도해외여행사이재홍광주광역시 동구 중앙로196번길 5, 7층 (금남로3가)2021-09-30
12광주광역시국내여행업(주)다모아 해외 여행사김해연광주광역시 동구 금남로169번길 8-13, 2층 (금남로5가)2021-09-30
23광주광역시국내여행업(합)아시아 관광 여행사김정희광주광역시 동구 천변우로 339, 1708호 (수기동)2021-09-30
34광주광역시국내여행업(주)국제항공 여행사송원식광주광역시 동구 중앙로196번길 5, 7층 (금남로3가)2021-09-30
45광주광역시국내여행업(주)가자항공여행사고재완광주광역시 동구 필문대로 184-1 (산수동)2021-09-30
56광주광역시국내여행업(주)광주세계로 항공 여행사김승호광주광역시 동구 금남로 189 (금남로5가)2021-09-30
67광주광역시국내여행업(주)신화여행사노성은광주광역시 동구 금남로 250-8 (금남로1가)2021-09-30
78광주광역시국내여행업(주)리더스 여행사김용석광주광역시 동구 중앙로 358 (계림동)2021-09-30
89광주광역시국내여행업(주)해태관광최운룡광주광역시 동구 중앙로 358, 상가동 288호 (계림동, 금호계림주상복합)2021-09-30
910광주광역시국내여행업(주)ABC여행사민병조광주광역시 동구 서석로85번길 8-13 (대의동)2021-09-30
연번지역업종중분류업체명대표자소재지도로명주소데이터기준일자
620621광주광역시종합여행업(유)예향고속관광이조남광주광역시 광산구 사암로383번길 25, 3층 (하남동)2021-09-30
621622광주광역시종합여행업주식회사 굿라이프투어곽상민광주광역시 광산구 풍영로 83, 우석빌딩 (월곡동)2021-09-30
622623광주광역시종합여행업(주)식스팩토리오정현광주광역시 광산구 임방울대로825번길 60-18, 503,504호 (쌍암동)2021-09-30
623624광주광역시종합여행업주식회사 더심플오경미광주광역시 광산구 사암로171번길 48, 3층 (우산동)2021-09-30
624625광주광역시종합여행업(주)알지오강영옥광주광역시 광산구 상무대로 511, 2층 (우산동)2021-09-30
625626광주광역시종합여행업주식회사 알지오투어오현민 외 1명광주광역시 광산구 상무대로 511, 1층 (우산동)2021-09-30
626627광주광역시종합여행업(주)하나파트너강휴석광주광역시 광산구 용아로 390, 홈플러스 광주하남점 1층 (하남동)2021-09-30
627628광주광역시종합여행업금봉황 여행사CHE ZHIYAN광주광역시 광산구 사암로130번길 58, 1층 103호 (우산동)2021-09-30
628629광주광역시종합여행업무빙트립신현오광주광역시 광산구 월계로 195, 첨단 AM-City 스카이 하이 상가동 503호2021-09-30
629630광주광역시종합여행업주식회사 도깨비여행사승흥광주광역시 광산구 왕버들로 133 (수완동)2021-09-30