Overview

Dataset statistics

Number of variables7
Number of observations422
Missing cells202
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory57.3 B

Variable types

Numeric1
Categorical3
Text3

Dataset

Description충청북도 여행업 데이터를 제공합니다. (등록업종, 시군, 업체명, 대표자, 주소, 전화번호, 팩스의 정보를 제공합니다)
URLhttps://www.data.go.kr/data/3083591/fileData.do

Alerts

비고 is highly overall correlated with 등록업종High correlation
등록업종 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 등록업종High correlation
비고 is highly imbalanced (91.5%)Imbalance
전화번호 has 202 (47.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:31:22.091170
Analysis finished2023-12-12 04:31:22.862160
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct422
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.5
Minimum1
Maximum422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2023-12-12T13:31:22.954401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.05
Q1106.25
median211.5
Q3316.75
95-th percentile400.95
Maximum422
Range421
Interquartile range (IQR)210.5

Descriptive statistics

Standard deviation121.96516
Coefficient of variation (CV)0.57666742
Kurtosis-1.2
Mean211.5
Median Absolute Deviation (MAD)105.5
Skewness0
Sum89253
Variance14875.5
MonotonicityStrictly increasing
2023-12-12T13:31:23.173221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
266 1
 
0.2%
290 1
 
0.2%
289 1
 
0.2%
288 1
 
0.2%
287 1
 
0.2%
286 1
 
0.2%
285 1
 
0.2%
284 1
 
0.2%
283 1
 
0.2%
Other values (412) 412
97.6%
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 (%)
422 1
0.2%
421 1
0.2%
420 1
0.2%
419 1
0.2%
418 1
0.2%
417 1
0.2%
416 1
0.2%
415 1
0.2%
414 1
0.2%
413 1
0.2%

시군구
Categorical

Distinct11
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
청주시
256 
충주시
45 
제천시
36 
음성군
27 
영동군
 
12
Other values (6)
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
청주시 256
60.7%
충주시 45
 
10.7%
제천시 36
 
8.5%
음성군 27
 
6.4%
영동군 12
 
2.8%
진천군 12
 
2.8%
증평군 10
 
2.4%
단양군 8
 
1.9%
옥천군 8
 
1.9%
보은군 4
 
0.9%

Length

2023-12-12T13:31:23.304802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
청주시 256
60.7%
충주시 45
 
10.7%
제천시 36
 
8.5%
음성군 27
 
6.4%
영동군 12
 
2.8%
진천군 12
 
2.8%
증평군 10
 
2.4%
단양군 8
 
1.9%
옥천군 8
 
1.9%
보은군 4
 
0.9%

등록업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
국내외여행업
230 
종합여행업
97 
국내여행업
95 

Length

Max length6
Median length6
Mean length5.5450237
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국내외여행업 230
54.5%
종합여행업 97
23.0%
국내여행업 95
22.5%

Length

2023-12-12T13:31:23.437556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:31:23.573722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국내외여행업 230
54.5%
종합여행업 97
23.0%
국내여행업 95
22.5%

업체명
Text

Distinct370
Distinct (%)87.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T13:31:23.801122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length7.7511848
Min length2

Characters and Unicode

Total characters3271
Distinct characters341
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

Unique318 ?
Unique (%)75.4%

Sample

1st row충일관광여행사(주)
2nd row(주)로얄관광
3rd row(주)속리관광개발
4th row(합)미르투어
5th row(주)뉴세림항공여행사
ValueCountFrequency (%)
주식회사 38
 
7.8%
여행사 5
 
1.0%
월드투어 4
 
0.8%
공정여행나눔사회적협동조합 2
 
0.4%
합)서진항공여행사 2
 
0.4%
합)미래관광여행사 2
 
0.4%
세림항공여행사 2
 
0.4%
주)아일항공여행사 2
 
0.4%
영휘국제여행사 2
 
0.4%
합)나이스관광여행사 2
 
0.4%
Other values (379) 426
87.5%
2023-12-12T13:31:24.241700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 202
 
6.2%
주 196
 
6.0%
( 193
 
5.9%
) 193
 
5.9%
행 188
 
5.7%
여 185
 
5.7%
어 109
 
3.3%
투 102
 
3.1%
광 75
 
2.3%
관 75
 
2.3%
Other values (331) 1753
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2720
83.2%
Open Punctuation 193
 
5.9%
Close Punctuation 193
 
5.9%
Space Separator 65
 
2.0%
Uppercase Letter 49
 
1.5%
Other Symbol 26
 
0.8%
Lowercase Letter 16
 
0.5%
Decimal Number 4
 
0.1%
Other Punctuation 3
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 202
 
7.4%
주 196
 
7.2%
행 188
 
6.9%
여 185
 
6.8%
어 109
 
4.0%
투 102
 
3.8%
광 75
 
2.8%
관 75
 
2.8%
공 51
 
1.9%
이 50
 
1.8%
Other values (289) 1487
54.7%
Uppercase Letter
ValueCountFrequency (%)
R 7
14.3%
T 5
 
10.2%
K 5
 
10.2%
A 4
 
8.2%
O 4
 
8.2%
U 3
 
6.1%
I 2
 
4.1%
N 2
 
4.1%
B 2
 
4.1%
L 2
 
4.1%
Other values (9) 13
26.5%
Lowercase Letter
ValueCountFrequency (%)
o 3
18.8%
l 2
12.5%
s 1
 
6.2%
k 1
 
6.2%
t 1
 
6.2%
h 1
 
6.2%
y 1
 
6.2%
u 1
 
6.2%
c 1
 
6.2%
i 1
 
6.2%
Other values (3) 3
18.8%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
8 1
25.0%
5 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
! 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 193
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2746
83.9%
Common 460
 
14.1%
Latin 65
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 202
 
7.4%
주 196
 
7.1%
행 188
 
6.8%
여 185
 
6.7%
어 109
 
4.0%
투 102
 
3.7%
광 75
 
2.7%
관 75
 
2.7%
공 51
 
1.9%
이 50
 
1.8%
Other values (290) 1513
55.1%
Latin
ValueCountFrequency (%)
R 7
 
10.8%
T 5
 
7.7%
K 5
 
7.7%
A 4
 
6.2%
O 4
 
6.2%
o 3
 
4.6%
U 3
 
4.6%
I 2
 
3.1%
N 2
 
3.1%
B 2
 
3.1%
Other values (22) 28
43.1%
Common
ValueCountFrequency (%)
( 193
42.0%
) 193
42.0%
65
 
14.1%
. 2
 
0.4%
1 2
 
0.4%
- 2
 
0.4%
8 1
 
0.2%
5 1
 
0.2%
! 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2720
83.2%
ASCII 525
 
16.1%
None 26
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 202
 
7.4%
주 196
 
7.2%
행 188
 
6.9%
여 185
 
6.8%
어 109
 
4.0%
투 102
 
3.8%
광 75
 
2.8%
관 75
 
2.8%
공 51
 
1.9%
이 50
 
1.8%
Other values (289) 1487
54.7%
ASCII
ValueCountFrequency (%)
( 193
36.8%
) 193
36.8%
65
 
12.4%
R 7
 
1.3%
T 5
 
1.0%
K 5
 
1.0%
A 4
 
0.8%
O 4
 
0.8%
o 3
 
0.6%
U 3
 
0.6%
Other values (31) 43
 
8.2%
None
ValueCountFrequency (%)
㈜ 26
100.0%

주소
Text

Distinct374
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2023-12-12T13:31:24.629782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length30.021327
Min length13

Characters and Unicode

Total characters12669
Distinct characters284
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

Unique329 ?
Unique (%)78.0%

Sample

1st row충청북도 청주시 청원구 충청대로 233 (주중동)
2nd row충청북도 청주시 상당구 상당로115번길 58 (영동)
3rd row충청북도 청주시 청원구 공항로 122, 1층 (율량동)
4th row충청북도 청주시 청원구 오창읍 두릉유리로 1396
5th row충청북도 청주시 상당구 사직대로 342-2 (서문동)
ValueCountFrequency (%)
충청북도 407
 
15.0%
청주시 256
 
9.4%
상당구 79
 
2.9%
서원구 59
 
2.2%
청원구 59
 
2.2%
흥덕구 59
 
2.2%
2층 59
 
2.2%
1층 48
 
1.8%
충주시 45
 
1.7%
제천시 36
 
1.3%
Other values (794) 1610
59.3%
2023-12-12T13:31:25.095830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2302
 
18.2%
청 760
 
6.0%
1 519
 
4.1%
충 481
 
3.8%
북 447
 
3.5%
로 409
 
3.2%
도 407
 
3.2%
시 343
 
2.7%
2 333
 
2.6%
주 322
 
2.5%
Other values (274) 6346
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7400
58.4%
Space Separator 2302
 
18.2%
Decimal Number 1998
 
15.8%
Close Punctuation 283
 
2.2%
Open Punctuation 283
 
2.2%
Other Punctuation 258
 
2.0%
Dash Punctuation 111
 
0.9%
Uppercase Letter 32
 
0.3%
Letter Number 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 760
 
10.3%
충 481
 
6.5%
북 447
 
6.0%
로 409
 
5.5%
도 407
 
5.5%
시 343
 
4.6%
주 322
 
4.4%
동 311
 
4.2%
구 262
 
3.5%
층 149
 
2.0%
Other values (241) 3509
47.4%
Uppercase Letter
ValueCountFrequency (%)
S 5
15.6%
C 4
12.5%
O 3
9.4%
A 3
9.4%
B 3
9.4%
T 2
 
6.2%
E 2
 
6.2%
R 2
 
6.2%
M 2
 
6.2%
D 1
 
3.1%
Other values (5) 5
15.6%
Decimal Number
ValueCountFrequency (%)
1 519
26.0%
2 333
16.7%
3 224
11.2%
0 182
 
9.1%
5 169
 
8.5%
4 162
 
8.1%
6 132
 
6.6%
8 110
 
5.5%
9 85
 
4.3%
7 82
 
4.1%
Other Punctuation
ValueCountFrequency (%)
, 257
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
2302
100.0%
Close Punctuation
ValueCountFrequency (%)
) 283
100.0%
Open Punctuation
ValueCountFrequency (%)
( 283
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7400
58.4%
Common 5235
41.3%
Latin 34
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 760
 
10.3%
충 481
 
6.5%
북 447
 
6.0%
로 409
 
5.5%
도 407
 
5.5%
시 343
 
4.6%
주 322
 
4.4%
동 311
 
4.2%
구 262
 
3.5%
층 149
 
2.0%
Other values (241) 3509
47.4%
Latin
ValueCountFrequency (%)
S 5
14.7%
C 4
11.8%
O 3
8.8%
A 3
8.8%
B 3
8.8%
T 2
 
5.9%
E 2
 
5.9%
R 2
 
5.9%
M 2
 
5.9%
D 1
 
2.9%
Other values (7) 7
20.6%
Common
ValueCountFrequency (%)
2302
44.0%
1 519
 
9.9%
2 333
 
6.4%
) 283
 
5.4%
( 283
 
5.4%
, 257
 
4.9%
3 224
 
4.3%
0 182
 
3.5%
5 169
 
3.2%
4 162
 
3.1%
Other values (6) 521
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7400
58.4%
ASCII 5268
41.6%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2302
43.7%
1 519
 
9.9%
2 333
 
6.3%
) 283
 
5.4%
( 283
 
5.4%
, 257
 
4.9%
3 224
 
4.3%
0 182
 
3.5%
5 169
 
3.2%
4 162
 
3.1%
Other values (22) 554
 
10.5%
Hangul
ValueCountFrequency (%)
청 760
 
10.3%
충 481
 
6.5%
북 447
 
6.0%
로 409
 
5.5%
도 407
 
5.5%
시 343
 
4.6%
주 322
 
4.4%
동 311
 
4.2%
구 262
 
3.5%
층 149
 
2.0%
Other values (241) 3509
47.4%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

전화번호
Text

MISSING 

Distinct195
Distinct (%)88.6%
Missing202
Missing (%)47.9%
Memory size3.4 KiB
2023-12-12T13:31:25.337830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.986364
Min length9

Characters and Unicode

Total characters2637
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)78.2%

Sample

1st row043-252-9405
2nd row043-222-3331
3rd row043-253-9911
4th row043-223-3535
5th row043-257-3531
ValueCountFrequency (%)
043-644-9500 3
 
1.4%
043-838-8385 3
 
1.4%
043-872-1601 2
 
0.9%
043-731-8982 2
 
0.9%
043-291-2082 2
 
0.9%
043-844-7800 2
 
0.9%
043-646-8300 2
 
0.9%
043-644-2001 2
 
0.9%
043-644-9776 2
 
0.9%
043-646-9090 2
 
0.9%
Other values (183) 198
90.0%
2023-12-12T13:31:25.674121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 436
16.5%
0 404
15.3%
3 376
14.3%
4 352
13.3%
2 219
8.3%
8 199
7.5%
5 152
 
5.8%
1 150
 
5.7%
6 132
 
5.0%
7 132
 
5.0%
Other values (3) 85
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2198
83.4%
Dash Punctuation 436
 
16.5%
Space Separator 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 404
18.4%
3 376
17.1%
4 352
16.0%
2 219
10.0%
8 199
9.1%
5 152
 
6.9%
1 150
 
6.8%
6 132
 
6.0%
7 132
 
6.0%
9 82
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 436
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2637
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 436
16.5%
0 404
15.3%
3 376
14.3%
4 352
13.3%
2 219
8.3%
8 199
7.5%
5 152
 
5.8%
1 150
 
5.7%
6 132
 
5.0%
7 132
 
5.0%
Other values (3) 85
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2637
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 436
16.5%
0 404
15.3%
3 376
14.3%
4 352
13.3%
2 219
8.3%
8 199
7.5%
5 152
 
5.8%
1 150
 
5.7%
6 132
 
5.0%
7 132
 
5.0%
Other values (3) 85
 
3.2%

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
<NA>
413 
휴업
 
7
2004.2.2
 
1
2019.11.22
 
1

Length

Max length10
Median length4
Mean length3.9905213
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row휴업
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 413
97.9%
휴업 7
 
1.7%
2004.2.2 1
 
0.2%
2019.11.22 1
 
0.2%

Length

2023-12-12T13:31:25.812186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:31:25.936014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 413
97.9%
휴업 7
 
1.7%
2004.2.2 1
 
0.2%
2019.11.22 1
 
0.2%

Interactions

2023-12-12T13:31:22.559818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:31:26.008842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구등록업종비고
연번1.0000.6650.9470.501
시군구0.6651.0000.2100.000
등록업종0.9470.2101.0001.000
비고0.5010.0001.0001.000
2023-12-12T13:31:26.111218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고등록업종시군구
비고1.0000.9260.000
등록업종0.9261.0000.123
시군구0.0000.1231.000
2023-12-12T13:31:26.209144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번시군구등록업종비고
연번1.0000.3580.9290.408
시군구0.3581.0000.1230.000
등록업종0.9290.1231.0000.926
비고0.4080.0000.9261.000

Missing values

2023-12-12T13:31:22.698595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:31:22.817718image/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

연번시군구등록업종업체명주소전화번호비고
01청주시종합여행업충일관광여행사(주)충청북도 청주시 청원구 충청대로 233 (주중동)043-252-9405휴업
12청주시종합여행업(주)로얄관광충청북도 청주시 상당구 상당로115번길 58 (영동)043-222-3331<NA>
23청주시종합여행업(주)속리관광개발충청북도 청주시 청원구 공항로 122, 1층 (율량동)043-253-9911<NA>
34청주시종합여행업(합)미르투어충청북도 청주시 청원구 오창읍 두릉유리로 1396043-223-3535<NA>
45청주시종합여행업(주)뉴세림항공여행사충청북도 청주시 상당구 사직대로 342-2 (서문동)043-257-3531<NA>
56청주시종합여행업(주)챌린져투어충청북도 청주시 청원구 향군로 105, 3층 (우암동)043-262-8848<NA>
67청주시종합여행업(주)토마스항공여행사충청북도 청주시 상당구 호미로 191, 2층 (용정동)043-285-8080<NA>
78청주시종합여행업(자)더스카이투어충청북도 청주시 상당구 상당로 87 (북문로1가)<NA><NA>
89청주시종합여행업(합자)샤론항공여행사충청북도 청주시 상당구 중앙로 80, 101동 408호 (북문로3가, 청주행정타운코아루휴티스)043-225-8855<NA>
910청주시종합여행업(합)한빛항공여행사충청북도 청주시 서원구 1순환로 641-1 (사창동)043-271-3373<NA>
연번시군구등록업종업체명주소전화번호비고
412413음성군국내여행업(주) 설송관광여행사충청북도 음성군 금왕읍 무극로286번길 16, 가동 405호 (풍산아파트)<NA><NA>
413414음성군국내여행업(주)하나항공여행사(금왕본사)충청북도 음성군 금왕읍 대금로 1428043-883-8880<NA>
414415음성군국내여행업(주)하나항공여행사 진천영업소충청북도 진천군 덕산면 용몽리 580-11043-883-8880<NA>
415416음성군국내여행업오미관광(주)충청북도 음성군 대소면 한삼로153번길 76043-881-3003<NA>
416417음성군국내여행업오미투어(주)충청북도 음성군 대소면 한삼로153번길 76043-881-3003<NA>
417418음성군국내여행업㈜세계여행충청북도 음성군 감곡면 장감로 132번길 31043-878-5775<NA>
418419음성군국내여행업스마트여행사충청북도 음성군 생극면 음성로 1639-1, 2층043-883-4333<NA>
419420음성군국내여행업㈜세일관광여행사충청북도 음성군 음성읍 수정로35번길 14043-872-1601<NA>
420421음성군국내여행업생생마을여행사충청북도 음성군 생극면 신양리 444-12<NA><NA>
421422단양군국내여행업주식회사 단양레저관광단양군 단양읍 수변로 71-1043-423-4123<NA>