Overview

Dataset statistics

Number of variables7
Number of observations44
Missing cells5
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory60.0 B

Variable types

Numeric1
Categorical1
Text4
DateTime1

Dataset

Description의성군 자연휴양림과 일반야영장업, 자동차야영장업, 농어촌민박업, 한옥체험업, 숙박업으로 등록된 사업장에 대한 데이터입니다. 연번, 구분, 사업장명, 도로명주소, 지번주소, 연락처, 데이터기준일자로 구성되었습니다.
Author경상북도 의성군
URLhttps://www.data.go.kr/data/15088709/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 5 (11.4%) missing valuesMissing
연번 has unique valuesUnique
사업장명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:50:25.971097
Analysis finished2023-12-12 12:50:26.701241
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2023-12-12T21:50:26.797969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2023-12-12T21:50:26.977601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

구분
Categorical

Distinct6
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size484.0 B
숙박업
32 
농어촌민박업
4 
한옥체험업
4 
자동차야영장
 
2
자연휴양림
 
1

Length

Max length6
Median length3
Mean length3.6818182
Min length3

Unique

Unique2 ?
Unique (%)4.5%

Sample

1st row자연휴양림
2nd row일반야영장
3rd row자동차야영장
4th row자동차야영장
5th row농어촌민박업

Common Values

ValueCountFrequency (%)
숙박업 32
72.7%
농어촌민박업 4
 
9.1%
한옥체험업 4
 
9.1%
자동차야영장 2
 
4.5%
자연휴양림 1
 
2.3%
일반야영장 1
 
2.3%

Length

2023-12-12T21:50:27.150683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:50:27.319008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업 32
72.7%
농어촌민박업 4
 
9.1%
한옥체험업 4
 
9.1%
자동차야영장 2
 
4.5%
자연휴양림 1
 
2.3%
일반야영장 1
 
2.3%

사업장명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T21:50:27.544938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.1363636
Min length2

Characters and Unicode

Total characters182
Distinct characters108
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

Unique44 ?
Unique (%)100.0%

Sample

1st row금봉자연휴양림
2nd row고운마을캠핑장
3rd row의성펫월드 오토캠핑장
4th row빙계얼음골 야영장
5th row힐링포인트21
ValueCountFrequency (%)
금봉자연휴양림 1
 
2.2%
그랜드장 1
 
2.2%
씨에프모텔 1
 
2.2%
아리랑여관 1
 
2.2%
벤츠모텔 1
 
2.2%
진주장 1
 
2.2%
예림장 1
 
2.2%
명품모텔 1
 
2.2%
무아 1
 
2.2%
목화 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T21:50:28.184325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 17
 
9.3%
모 17
 
9.3%
장 10
 
5.5%
성 6
 
3.3%
리 5
 
2.7%
인 3
 
1.6%
의 3
 
1.6%
보 2
 
1.1%
화 2
 
1.1%
아 2
 
1.1%
Other values (98) 115
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 170
93.4%
Uppercase Letter 6
 
3.3%
Space Separator 2
 
1.1%
Decimal Number 2
 
1.1%
Dash Punctuation 1
 
0.5%
Lowercase Letter 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 17
 
10.0%
모 17
 
10.0%
장 10
 
5.9%
성 6
 
3.5%
리 5
 
2.9%
인 3
 
1.8%
의 3
 
1.8%
보 2
 
1.2%
화 2
 
1.2%
아 2
 
1.2%
Other values (87) 103
60.6%
Uppercase Letter
ValueCountFrequency (%)
L 1
16.7%
E 1
16.7%
T 1
16.7%
O 1
16.7%
M 1
16.7%
R 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 170
93.4%
Latin 7
 
3.8%
Common 5
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 17
 
10.0%
모 17
 
10.0%
장 10
 
5.9%
성 6
 
3.5%
리 5
 
2.9%
인 3
 
1.8%
의 3
 
1.8%
보 2
 
1.2%
화 2
 
1.2%
아 2
 
1.2%
Other values (87) 103
60.6%
Latin
ValueCountFrequency (%)
L 1
14.3%
E 1
14.3%
T 1
14.3%
O 1
14.3%
M 1
14.3%
R 1
14.3%
e 1
14.3%
Common
ValueCountFrequency (%)
2
40.0%
- 1
20.0%
1 1
20.0%
2 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 170
93.4%
ASCII 12
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 17
 
10.0%
모 17
 
10.0%
장 10
 
5.9%
성 6
 
3.5%
리 5
 
2.9%
인 3
 
1.8%
의 3
 
1.8%
보 2
 
1.2%
화 2
 
1.2%
아 2
 
1.2%
Other values (87) 103
60.6%
ASCII
ValueCountFrequency (%)
2
16.7%
L 1
8.3%
E 1
8.3%
T 1
8.3%
O 1
8.3%
M 1
8.3%
- 1
8.3%
R 1
8.3%
1 1
8.3%
2 1
8.3%

도로명주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T21:50:28.431789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length21.363636
Min length19

Characters and Unicode

Total characters940
Distinct characters73
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row경상북도 의성군 옥산면 휴양림길 114
2nd row경상북도 의성군 단촌면 고운사길 203-21, 고운마을캠핑장
3rd row경상북도 의성군 단북면 안계길 255-13
4th row경상북도 의성군 가음면 빙계계곡길 51
5th row경상북도 의성군 의성읍 도토길 34
ValueCountFrequency (%)
경상북도 44
19.9%
의성군 44
19.9%
의성읍 15
 
6.8%
봉양면 6
 
2.7%
안계면 5
 
2.3%
문소3길 4
 
1.8%
도안로 4
 
1.8%
단밀면 4
 
1.8%
금성면 4
 
1.8%
도리원1길 3
 
1.4%
Other values (74) 88
39.8%
2023-12-12T21:50:28.835739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
18.8%
성 64
 
6.8%
의 60
 
6.4%
도 53
 
5.6%
북 49
 
5.2%
경 44
 
4.7%
상 44
 
4.7%
군 44
 
4.7%
길 38
 
4.0%
1 29
 
3.1%
Other values (63) 338
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
63.4%
Space Separator 177
 
18.8%
Decimal Number 145
 
15.4%
Dash Punctuation 21
 
2.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 64
10.7%
의 60
 
10.1%
도 53
 
8.9%
북 49
 
8.2%
경 44
 
7.4%
상 44
 
7.4%
군 44
 
7.4%
길 38
 
6.4%
면 29
 
4.9%
안 15
 
2.5%
Other values (50) 156
26.2%
Decimal Number
ValueCountFrequency (%)
1 29
20.0%
2 23
15.9%
3 22
15.2%
5 16
11.0%
8 16
11.0%
6 11
 
7.6%
7 10
 
6.9%
4 10
 
6.9%
9 5
 
3.4%
0 3
 
2.1%
Space Separator
ValueCountFrequency (%)
177
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
63.4%
Common 344
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 64
10.7%
의 60
 
10.1%
도 53
 
8.9%
북 49
 
8.2%
경 44
 
7.4%
상 44
 
7.4%
군 44
 
7.4%
길 38
 
6.4%
면 29
 
4.9%
안 15
 
2.5%
Other values (50) 156
26.2%
Common
ValueCountFrequency (%)
177
51.5%
1 29
 
8.4%
2 23
 
6.7%
3 22
 
6.4%
- 21
 
6.1%
5 16
 
4.7%
8 16
 
4.7%
6 11
 
3.2%
7 10
 
2.9%
4 10
 
2.9%
Other values (3) 9
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
63.4%
ASCII 344
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
51.5%
1 29
 
8.4%
2 23
 
6.7%
3 22
 
6.4%
- 21
 
6.1%
5 16
 
4.7%
8 16
 
4.7%
6 11
 
3.2%
7 10
 
2.9%
4 10
 
2.9%
Other values (3) 9
 
2.6%
Hangul
ValueCountFrequency (%)
성 64
10.7%
의 60
 
10.1%
도 53
 
8.9%
북 49
 
8.2%
경 44
 
7.4%
상 44
 
7.4%
군 44
 
7.4%
길 38
 
6.4%
면 29
 
4.9%
안 15
 
2.5%
Other values (50) 156
26.2%

지번주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2023-12-12T21:50:29.061835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length23.681818
Min length19

Characters and Unicode

Total characters1042
Distinct characters69
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row경상북도 의성군 옥산면 금봉리 55
2nd row경상북도 의성군 단촌면 구계리 598-1
3rd row경상북도 의성군 단북면 노연리 1110
4th row경상북도 의성군 가음면 현리리 900
5th row경상북도 의성군 의성읍 후죽리 383-7
ValueCountFrequency (%)
경상북도 44
19.9%
의성군 44
19.9%
의성읍 15
 
6.8%
후죽리 13
 
5.9%
봉양면 6
 
2.7%
안계면 5
 
2.3%
금성면 4
 
1.8%
낙정리 4
 
1.8%
단밀면 4
 
1.8%
용기리 4
 
1.8%
Other values (70) 78
35.3%
2023-12-12T21:50:29.490921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
211
20.2%
성 63
 
6.0%
의 59
 
5.7%
리 48
 
4.6%
도 47
 
4.5%
북 45
 
4.3%
경 44
 
4.2%
상 44
 
4.2%
군 44
 
4.2%
- 33
 
3.2%
Other values (59) 404
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 632
60.7%
Space Separator 211
 
20.2%
Decimal Number 166
 
15.9%
Dash Punctuation 33
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 63
 
10.0%
의 59
 
9.3%
리 48
 
7.6%
도 47
 
7.4%
북 45
 
7.1%
경 44
 
7.0%
상 44
 
7.0%
군 44
 
7.0%
지 30
 
4.7%
번 30
 
4.7%
Other values (47) 178
28.2%
Decimal Number
ValueCountFrequency (%)
1 25
15.1%
8 23
13.9%
6 22
13.3%
2 20
12.0%
5 18
10.8%
3 15
9.0%
4 11
6.6%
7 11
6.6%
0 11
6.6%
9 10
 
6.0%
Space Separator
ValueCountFrequency (%)
211
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 632
60.7%
Common 410
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 63
 
10.0%
의 59
 
9.3%
리 48
 
7.6%
도 47
 
7.4%
북 45
 
7.1%
경 44
 
7.0%
상 44
 
7.0%
군 44
 
7.0%
지 30
 
4.7%
번 30
 
4.7%
Other values (47) 178
28.2%
Common
ValueCountFrequency (%)
211
51.5%
- 33
 
8.0%
1 25
 
6.1%
8 23
 
5.6%
6 22
 
5.4%
2 20
 
4.9%
5 18
 
4.4%
3 15
 
3.7%
4 11
 
2.7%
7 11
 
2.7%
Other values (2) 21
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 632
60.7%
ASCII 410
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
211
51.5%
- 33
 
8.0%
1 25
 
6.1%
8 23
 
5.6%
6 22
 
5.4%
2 20
 
4.9%
5 18
 
4.4%
3 15
 
3.7%
4 11
 
2.7%
7 11
 
2.7%
Other values (2) 21
 
5.1%
Hangul
ValueCountFrequency (%)
성 63
 
10.0%
의 59
 
9.3%
리 48
 
7.6%
도 47
 
7.4%
북 45
 
7.1%
경 44
 
7.0%
상 44
 
7.0%
군 44
 
7.0%
지 30
 
4.7%
번 30
 
4.7%
Other values (47) 178
28.2%

연락처
Text

MISSING 

Distinct39
Distinct (%)100.0%
Missing5
Missing (%)11.4%
Memory size484.0 B
2023-12-12T21:50:29.719384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.153846
Min length12

Characters and Unicode

Total characters474
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

Unique39 ?
Unique (%)100.0%

Sample

1st row054-833-0123
2nd row054-833-2446
3rd row054-861-1414
4th row054-833-5101
5th row0507-1335-3531
ValueCountFrequency (%)
054-833-0123 1
 
2.6%
054-832-2005 1
 
2.6%
054-834-5030 1
 
2.6%
054-833-1123 1
 
2.6%
054-832-4444 1
 
2.6%
054-834-5181 1
 
2.6%
054-834-6666 1
 
2.6%
054-834-0066 1
 
2.6%
054-862-2626 1
 
2.6%
054-832-4114 1
 
2.6%
Other values (29) 29
74.4%
2023-12-12T21:50:30.065897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.5%
0 67
14.1%
4 67
14.1%
3 53
11.2%
5 50
10.5%
8 45
9.5%
2 34
7.2%
1 29
 
6.1%
6 22
 
4.6%
7 17
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 396
83.5%
Dash Punctuation 78
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
16.9%
4 67
16.9%
3 53
13.4%
5 50
12.6%
8 45
11.4%
2 34
8.6%
1 29
7.3%
6 22
 
5.6%
7 17
 
4.3%
9 12
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 474
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.5%
0 67
14.1%
4 67
14.1%
3 53
11.2%
5 50
10.5%
8 45
9.5%
2 34
7.2%
1 29
 
6.1%
6 22
 
4.6%
7 17
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 474
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.5%
0 67
14.1%
4 67
14.1%
3 53
11.2%
5 50
10.5%
8 45
9.5%
2 34
7.2%
1 29
 
6.1%
6 22
 
4.6%
7 17
 
3.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2021-08-31 00:00:00
Maximum2021-08-31 00:00:00
2023-12-12T21:50:30.168372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:50:30.251504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T21:50:26.380556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:50:30.330533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분사업장명도로명주소지번주소연락처
연번1.0000.7321.0001.0001.0001.000
구분0.7321.0001.0001.0001.0001.000
사업장명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.000
2023-12-12T21:50:30.420241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.468
구분0.4681.000

Missing values

2023-12-12T21:50:26.510720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:50:26.643826image/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

연번구분사업장명도로명주소지번주소연락처데이터기준일자
01자연휴양림금봉자연휴양림경상북도 의성군 옥산면 휴양림길 114경상북도 의성군 옥산면 금봉리 55054-833-01232021-08-31
12일반야영장고운마을캠핑장경상북도 의성군 단촌면 고운사길 203-21, 고운마을캠핑장경상북도 의성군 단촌면 구계리 598-1054-833-24462021-08-31
23자동차야영장의성펫월드 오토캠핑장경상북도 의성군 단북면 안계길 255-13경상북도 의성군 단북면 노연리 1110054-861-14142021-08-31
34자동차야영장빙계얼음골 야영장경상북도 의성군 가음면 빙계계곡길 51경상북도 의성군 가음면 현리리 900054-833-51012021-08-31
45농어촌민박업힐링포인트21경상북도 의성군 의성읍 도토길 34경상북도 의성군 의성읍 후죽리 383-70507-1335-35312021-08-31
56농어촌민박업리틀인경상북도 의성군 의성읍 동서1길 98경상북도 의성군 의성읍 도동리 805-10507-1303-14742021-08-31
67농어촌민박업망개골경상북도 의성군 안평면 안평의성로 681-79경상북도 의성군 안평면 신월리 22<NA>2021-08-31
78농어촌민박업가을담경상북도 의성군 옥산면 감계2길 47경상북도 의성군 옥산면 감계리 368<NA>2021-08-31
89한옥체험업초해고택경상북도 의성군 점곡면 만취당길 17-12경상북도 의성군 점곡면 사촌리 236<NA>2021-08-31
910한옥체험업의성소우당경상북도 의성군 금성면 산운마을길 55경상북도 의성군 금성면 산운리 171054-834-77622021-08-31
연번구분사업장명도로명주소지번주소연락처데이터기준일자
3435숙박업칠보장경상북도 의성군 봉양면 도리원1길 67-1경상북도 의성군 봉양면 화전리 96-8번지054-832-20052021-08-31
3536숙박업청호경상북도 의성군 안계면 안계시장길 46-1경상북도 의성군 안계면 용기리 843번지054-861-03392021-08-31
3637숙박업그리스모텔경상북도 의성군 안계면 안계시장길 58-5경상북도 의성군 안계면 용기리 456-20번지<NA>2021-08-31
3738숙박업테마모텔경상북도 의성군 의성읍 북부길 5-2경상북도 의성군 의성읍 후죽리 858-66번지054-834-99822021-08-31
3839숙박업R-MOTEL경상북도 의성군 단밀면 도안로 828-16경상북도 의성군 단밀면 낙정리 532-4번지054-861-98192021-08-31
3940숙박업신라장경상북도 의성군 의성읍 동서1길 13경상북도 의성군 의성읍 후죽리 676-9번지054-832-00152021-08-31
4041숙박업e모텔경상북도 의성군 의성읍 문소3길 78경상북도 의성군 의성읍 후죽리 484-8번지054-834-22702021-08-31
4142숙박업금성모텔경상북도 의성군 금성면 탑리2길 32-1경상북도 의성군 금성면 대리리 3-6054-832-22282021-08-31
4243숙박업썬모텔경상북도 의성군 의성읍 후죽5길 5경상북도 의성군 의성읍 후죽리 587-2번지054-832-41142021-08-31
4344숙박업청원모텔경상북도 의성군 봉양면 도리원1길 37경상북도 의성군 봉양면 화전리 118-8054-832-22502021-08-31