Overview

Dataset statistics

Number of variables6
Number of observations149
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory49.9 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description경기도 화성시 국내여행업, 국내외여행업, 종합여행업에 관한 데이터로 연번, 상호, 도로명주소, 지번주소, 기준일자에 대한 데이터를 포함하고 있습니다.
Author경기도 화성시
URLhttps://www.data.go.kr/data/15097880/fileData.do

Alerts

기준일자 has constant value ""Constant
연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:39:31.065700
Analysis finished2023-12-12 04:39:31.804282
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct149
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75
Minimum1
Maximum149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T13:39:31.898283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.4
Q138
median75
Q3112
95-th percentile141.6
Maximum149
Range148
Interquartile range (IQR)74

Descriptive statistics

Standard deviation43.156691
Coefficient of variation (CV)0.57542255
Kurtosis-1.2
Mean75
Median Absolute Deviation (MAD)37
Skewness0
Sum11175
Variance1862.5
MonotonicityStrictly increasing
2023-12-12T13:39:32.111084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
Other values (139) 139
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
국내외여행업
61 
종합여행업
59 
국내여행업
29 

Length

Max length6
Median length5
Mean length5.409396
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 61
40.9%
종합여행업 59
39.6%
국내여행업 29
19.5%

Length

2023-12-12T13:39:32.314562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:39:32.435912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 61
40.9%
종합여행업 59
39.6%
국내여행업 29
19.5%

상호
Text

Distinct130
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:39:32.708292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length14
Mean length8.4697987
Min length3

Characters and Unicode

Total characters1262
Distinct characters218
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

Unique111 ?
Unique (%)74.5%

Sample

1st row(합자)성화관광
2nd row(주)무지개관광여행사
3rd row(주)신은성관광
4th row(주)둘로스관광여행사
5th row(주)하나여행사
ValueCountFrequency (%)
주식회사 35
 
16.7%
여행사 5
 
2.4%
투어 3
 
1.4%
차이나여행사 2
 
1.0%
뉴 2
 
1.0%
아름여행사 2
 
1.0%
이기자투어 2
 
1.0%
티엔에스씨 2
 
1.0%
투데이여행사 2
 
1.0%
부광여행사 2
 
1.0%
Other values (137) 152
72.7%
2023-12-12T13:39:33.279344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 90
 
7.1%
사 82
 
6.5%
60
 
4.8%
) 59
 
4.7%
( 59
 
4.7%
여 55
 
4.4%
행 55
 
4.4%
투 47
 
3.7%
어 45
 
3.6%
회 38
 
3.0%
Other values (208) 672
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
81.3%
Space Separator 60
 
4.8%
Close Punctuation 59
 
4.7%
Open Punctuation 59
 
4.7%
Lowercase Letter 39
 
3.1%
Uppercase Letter 12
 
1.0%
Decimal Number 4
 
0.3%
Dash Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 90
 
8.8%
사 82
 
8.0%
여 55
 
5.4%
행 55
 
5.4%
투 47
 
4.6%
어 45
 
4.4%
회 38
 
3.7%
식 35
 
3.4%
광 31
 
3.0%
관 29
 
2.8%
Other values (178) 519
50.6%
Lowercase Letter
ValueCountFrequency (%)
a 8
20.5%
r 6
15.4%
e 5
12.8%
l 4
10.3%
o 3
 
7.7%
b 2
 
5.1%
t 2
 
5.1%
u 2
 
5.1%
s 1
 
2.6%
v 1
 
2.6%
Other values (5) 5
12.8%
Uppercase Letter
ValueCountFrequency (%)
O 2
16.7%
K 2
16.7%
G 2
16.7%
T 2
16.7%
A 1
8.3%
E 1
8.3%
R 1
8.3%
P 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
81.3%
Common 185
 
14.7%
Latin 51
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 90
 
8.8%
사 82
 
8.0%
여 55
 
5.4%
행 55
 
5.4%
투 47
 
4.6%
어 45
 
4.4%
회 38
 
3.7%
식 35
 
3.4%
광 31
 
3.0%
관 29
 
2.8%
Other values (178) 519
50.6%
Latin
ValueCountFrequency (%)
a 8
15.7%
r 6
 
11.8%
e 5
 
9.8%
l 4
 
7.8%
o 3
 
5.9%
O 2
 
3.9%
K 2
 
3.9%
b 2
 
3.9%
t 2
 
3.9%
G 2
 
3.9%
Other values (13) 15
29.4%
Common
ValueCountFrequency (%)
60
32.4%
) 59
31.9%
( 59
31.9%
- 2
 
1.1%
2 2
 
1.1%
1 2
 
1.1%
: 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
81.3%
ASCII 236
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 90
 
8.8%
사 82
 
8.0%
여 55
 
5.4%
행 55
 
5.4%
투 47
 
4.6%
어 45
 
4.4%
회 38
 
3.7%
식 35
 
3.4%
광 31
 
3.0%
관 29
 
2.8%
Other values (178) 519
50.6%
ASCII
ValueCountFrequency (%)
60
25.4%
) 59
25.0%
( 59
25.0%
a 8
 
3.4%
r 6
 
2.5%
e 5
 
2.1%
l 4
 
1.7%
o 3
 
1.3%
O 2
 
0.8%
K 2
 
0.8%
Other values (20) 28
11.9%

도로명주소
Text

Distinct125
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:39:33.552874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39
Mean length31.040268
Min length18

Characters and Unicode

Total characters4625
Distinct characters239
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)69.8%

Sample

1st row경기도 화성시 태안로 385-29 (황계동)
2nd row경기도 화성시 세자로475번길 34 (안녕동)
3rd row경기도 화성시 안녕북길 12-7 (안녕동)
4th row경기도 화성시 우정읍 궁평항로 114-15
5th row경기도 화성시 송산면 사강로 159
ValueCountFrequency (%)
경기도 149
 
15.3%
화성시 149
 
15.3%
영천동 28
 
2.9%
반송동 16
 
1.6%
안녕동 13
 
1.3%
남양읍 12
 
1.2%
효행로 12
 
1.2%
향남읍 12
 
1.2%
1층 11
 
1.1%
동탄대로 11
 
1.1%
Other values (328) 558
57.5%
2023-12-12T13:39:34.064631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
826
 
17.9%
1 202
 
4.4%
기 172
 
3.7%
동 171
 
3.7%
성 164
 
3.5%
화 162
 
3.5%
시 157
 
3.4%
경 153
 
3.3%
도 150
 
3.2%
로 129
 
2.8%
Other values (229) 2339
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2554
55.2%
Space Separator 826
 
17.9%
Decimal Number 817
 
17.7%
Other Punctuation 115
 
2.5%
Close Punctuation 97
 
2.1%
Open Punctuation 97
 
2.1%
Uppercase Letter 62
 
1.3%
Dash Punctuation 50
 
1.1%
Lowercase Letter 6
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 172
 
6.7%
동 171
 
6.7%
성 164
 
6.4%
화 162
 
6.3%
시 157
 
6.1%
경 153
 
6.0%
도 150
 
5.9%
로 129
 
5.1%
호 86
 
3.4%
탄 62
 
2.4%
Other values (187) 1148
44.9%
Uppercase Letter
ValueCountFrequency (%)
I 8
12.9%
A 7
11.3%
B 6
 
9.7%
L 6
 
9.7%
T 5
 
8.1%
O 3
 
4.8%
R 3
 
4.8%
G 3
 
4.8%
X 3
 
4.8%
S 3
 
4.8%
Other values (10) 15
24.2%
Decimal Number
ValueCountFrequency (%)
1 202
24.7%
2 125
15.3%
0 103
12.6%
6 74
 
9.1%
3 70
 
8.6%
5 64
 
7.8%
7 60
 
7.3%
4 41
 
5.0%
9 40
 
4.9%
8 38
 
4.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 112
97.4%
. 3
 
2.6%
Space Separator
ValueCountFrequency (%)
826
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2554
55.2%
Common 2002
43.3%
Latin 69
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 172
 
6.7%
동 171
 
6.7%
성 164
 
6.4%
화 162
 
6.3%
시 157
 
6.1%
경 153
 
6.0%
도 150
 
5.9%
로 129
 
5.1%
호 86
 
3.4%
탄 62
 
2.4%
Other values (187) 1148
44.9%
Latin
ValueCountFrequency (%)
I 8
 
11.6%
A 7
 
10.1%
B 6
 
8.7%
L 6
 
8.7%
T 5
 
7.2%
O 3
 
4.3%
R 3
 
4.3%
G 3
 
4.3%
X 3
 
4.3%
S 3
 
4.3%
Other values (16) 22
31.9%
Common
ValueCountFrequency (%)
826
41.3%
1 202
 
10.1%
2 125
 
6.2%
, 112
 
5.6%
0 103
 
5.1%
) 97
 
4.8%
( 97
 
4.8%
6 74
 
3.7%
3 70
 
3.5%
5 64
 
3.2%
Other values (6) 232
 
11.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2554
55.2%
ASCII 2070
44.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
826
39.9%
1 202
 
9.8%
2 125
 
6.0%
, 112
 
5.4%
0 103
 
5.0%
) 97
 
4.7%
( 97
 
4.7%
6 74
 
3.6%
3 70
 
3.4%
5 64
 
3.1%
Other values (31) 300
 
14.5%
Hangul
ValueCountFrequency (%)
기 172
 
6.7%
동 171
 
6.7%
성 164
 
6.4%
화 162
 
6.3%
시 157
 
6.1%
경 153
 
6.0%
도 150
 
5.9%
로 129
 
5.1%
호 86
 
3.4%
탄 62
 
2.4%
Other values (187) 1148
44.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

지번주소
Text

Distinct112
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T13:39:34.444559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length23.362416
Min length14

Characters and Unicode

Total characters3481
Distinct characters190
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)57.7%

Sample

1st row경기도 화성시 황계동 152-145
2nd row경기도 화성시 안녕동 188-287
3rd row경기도 화성시 안녕동 188-316
4th row경기도 화성시 우정읍 매향리 67-19
5th row경기도 화성시 송산면 사강리 696-3 사강프라자 4호
ValueCountFrequency (%)
경기도 149
 
19.2%
화성시 149
 
19.2%
영천동 28
 
3.6%
반송동 16
 
2.1%
안녕동 13
 
1.7%
남양읍 12
 
1.5%
향남읍 12
 
1.5%
봉담읍 10
 
1.3%
우정읍 8
 
1.0%
기안동 7
 
0.9%
Other values (231) 374
48.1%
2023-12-12T13:39:34.988778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
753
21.6%
화 161
 
4.6%
기 160
 
4.6%
성 157
 
4.5%
1 155
 
4.5%
시 152
 
4.4%
도 151
 
4.3%
경 150
 
4.3%
- 118
 
3.4%
동 113
 
3.2%
Other values (180) 1411
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1867
53.6%
Space Separator 753
21.6%
Decimal Number 689
 
19.8%
Dash Punctuation 118
 
3.4%
Uppercase Letter 46
 
1.3%
Lowercase Letter 6
 
0.2%
Other Punctuation 1
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 161
 
8.6%
기 160
 
8.6%
성 157
 
8.4%
시 152
 
8.1%
도 151
 
8.1%
경 150
 
8.0%
동 113
 
6.1%
리 66
 
3.5%
읍 42
 
2.2%
남 35
 
1.9%
Other values (142) 680
36.4%
Uppercase Letter
ValueCountFrequency (%)
I 6
13.0%
A 6
13.0%
L 4
 
8.7%
G 3
 
6.5%
T 3
 
6.5%
S 3
 
6.5%
X 3
 
6.5%
Z 2
 
4.3%
R 2
 
4.3%
P 2
 
4.3%
Other values (9) 12
26.1%
Decimal Number
ValueCountFrequency (%)
1 155
22.5%
3 86
12.5%
8 79
11.5%
2 75
10.9%
6 54
 
7.8%
9 52
 
7.5%
5 51
 
7.4%
7 48
 
7.0%
0 47
 
6.8%
4 42
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
c 1
16.7%
n 1
16.7%
t 1
16.7%
r 1
16.7%
Space Separator
ValueCountFrequency (%)
753
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1867
53.6%
Common 1561
44.8%
Latin 53
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 161
 
8.6%
기 160
 
8.6%
성 157
 
8.4%
시 152
 
8.1%
도 151
 
8.1%
경 150
 
8.0%
동 113
 
6.1%
리 66
 
3.5%
읍 42
 
2.2%
남 35
 
1.9%
Other values (142) 680
36.4%
Latin
ValueCountFrequency (%)
I 6
 
11.3%
A 6
 
11.3%
L 4
 
7.5%
G 3
 
5.7%
T 3
 
5.7%
S 3
 
5.7%
X 3
 
5.7%
Z 2
 
3.8%
R 2
 
3.8%
P 2
 
3.8%
Other values (15) 19
35.8%
Common
ValueCountFrequency (%)
753
48.2%
1 155
 
9.9%
- 118
 
7.6%
3 86
 
5.5%
8 79
 
5.1%
2 75
 
4.8%
6 54
 
3.5%
9 52
 
3.3%
5 51
 
3.3%
7 48
 
3.1%
Other values (3) 90
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1867
53.6%
ASCII 1613
46.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
753
46.7%
1 155
 
9.6%
- 118
 
7.3%
3 86
 
5.3%
8 79
 
4.9%
2 75
 
4.6%
6 54
 
3.3%
9 52
 
3.2%
5 51
 
3.2%
7 48
 
3.0%
Other values (27) 142
 
8.8%
Hangul
ValueCountFrequency (%)
화 161
 
8.6%
기 160
 
8.6%
성 157
 
8.4%
시 152
 
8.1%
도 151
 
8.1%
경 150
 
8.0%
동 113
 
6.1%
리 66
 
3.5%
읍 42
 
2.2%
남 35
 
1.9%
Other values (142) 680
36.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-10-24
149 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-24
2nd row2023-10-24
3rd row2023-10-24
4th row2023-10-24
5th row2023-10-24

Common Values

ValueCountFrequency (%)
2023-10-24 149
100.0%

Length

2023-12-12T13:39:35.158481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:39:35.281163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-24 149
100.0%

Interactions

2023-12-12T13:39:31.500125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:39:35.357026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.972
업종0.9721.000
2023-12-12T13:39:35.466742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.955
업종0.9551.000

Missing values

2023-12-12T13:39:31.641353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:39:31.756859image/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

연번업종상호도로명주소지번주소기준일자
01국내여행업(합자)성화관광경기도 화성시 태안로 385-29 (황계동)경기도 화성시 황계동 152-1452023-10-24
12국내여행업(주)무지개관광여행사경기도 화성시 세자로475번길 34 (안녕동)경기도 화성시 안녕동 188-2872023-10-24
23국내여행업(주)신은성관광경기도 화성시 안녕북길 12-7 (안녕동)경기도 화성시 안녕동 188-3162023-10-24
34국내여행업(주)둘로스관광여행사경기도 화성시 우정읍 궁평항로 114-15경기도 화성시 우정읍 매향리 67-192023-10-24
45국내여행업(주)하나여행사경기도 화성시 송산면 사강로 159경기도 화성시 송산면 사강리 696-3 사강프라자 4호2023-10-24
56국내여행업합자회사 거산고속관광경기도 화성시 효행로 211 (기안동)경기도 화성시 기안동 333-12023-10-24
67국내여행업(주)동일리무진투어경기도 화성시 효행로 211 (기안동)경기도 화성시 기안동 333-12023-10-24
78국내여행업투어 21경기도 화성시 동탄대로 181, 165호 (송동, 동탄린스트라우스더레이크)경기도 화성시 송동 694 동탄린스트라우스더레이크2023-10-24
89국내여행업(주)엠투어경기도 화성시 떡전골로 112-20 (진안동)경기도 화성시 진안동 525-472023-10-24
910국내여행업(주)삼정고속관광경기도 화성시 남양읍 온석길 15-8경기도 화성시 남양읍 온석리 266-42023-10-24
연번업종상호도로명주소지번주소기준일자
139140종합여행업비타투어경기도 화성시 동탄역로 150, 2층 B207호 (오산동, 동탄역 롯데캐슬)경기도 화성시 오산동 1089 동탄역 롯데캐슬2023-10-24
140141종합여행업(주)파트너케이경기도 화성시 동탄지성로 11, 동탄SR GOLD PLAZA 708호 (반송동)경기도 화성시 반송동 93-2 동탄SR GOLD PLAZA2023-10-24
141142종합여행업든든투어경기도 화성시 동탄역로 54, 상가동 1층 1059호 (오산동, 동탄역 헤리엇)경기도 화성시 오산동 1023 동탄역 헤리엇2023-10-24
142143종합여행업주식회사 엔케이씨인터내셔널경기도 화성시 동탄기흥로 590, 동탄센트럴에이스타워 136-1호 (영천동)경기도 화성시 영천동 837 동탄센트럴에이스타워2023-10-24
143144종합여행업여행의 힘경기도 화성시 동탄기흥로 614, 1703호 (영천동)경기도 화성시 영천동 835-12023-10-24
144145종합여행업자매여행사경기도 화성시 우정읍 조암서로22번길 21, 좌측 끝 호실경기도 화성시 우정읍 조암리 352-3 , 좌측 끝 호실2023-10-24
145146종합여행업주식회사 엑스티브컴경기도 화성시 남양읍 시청로 50, 아이리스오피스텔 811호경기도 화성시 남양읍 남양리 1748 아이리스오피스텔 811호2023-10-24
146147종합여행업티엘투어 주식회사경기도 화성시 동탄중앙로 376, 화성 동탄 이마트 1층 (석우동)경기도 화성시 석우동 44 화성 동탄 이마트2023-10-24
147148종합여행업(주)에즈탑경기도 화성시 향남읍 삼천병마로 216, 중앙빌딩 303호경기도 화성시 향남읍 평리 81-70 중앙빌딩 303호2023-10-24
148149종합여행업(주)청담비지니스스토리경기도 화성시 꽃내음1길 21, 202호 (새솔동)경기도 화성시 새솔동 77-11 202호2023-10-24