Overview

Dataset statistics

Number of variables9
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory77.5 B

Variable types

Text3
Numeric3
Categorical2
DateTime1

Dataset

Description대구 달성군 소재의 숙박업소 현황 데이터로, 업종명, 업소명, 허가일자, 영업주소(도로명), 소재지번화번호, 객식수 등이 포함
URLhttps://www.data.go.kr/data/15077482/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
영업소주소(도로명) has unique valuesUnique
소재지전화 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
객실수 has 1 (1.9%) zerosZeros

Reproduction

Analysis started2023-12-12 16:16:31.831436
Analysis finished2023-12-12 16:16:33.346306
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T01:16:33.516607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5
Min length2

Characters and Unicode

Total characters260
Distinct characters103
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

Unique50 ?
Unique (%)96.2%

Sample

1st row모텔 이너스
2nd row룩스모텔
3rd row비즈니스호텔 유럽
4th row원앙파크장
5th row에로스 모텔
ValueCountFrequency (%)
모텔 6
 
9.2%
비즈니스호텔 2
 
3.1%
호텔 2
 
3.1%
유럽 2
 
3.1%
디종 1
 
1.5%
자자모텔 1
 
1.5%
v원모텔 1
 
1.5%
알프스 1
 
1.5%
힐 1
 
1.5%
하우스 1
 
1.5%
Other values (47) 47
72.3%
2023-12-13T01:16:33.882274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 32
 
12.3%
모 23
 
8.8%
여 13
 
5.0%
13
 
5.0%
장 13
 
5.0%
관 12
 
4.6%
스 10
 
3.8%
호 9
 
3.5%
로 4
 
1.5%
비 4
 
1.5%
Other values (93) 127
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 231
88.8%
Space Separator 13
 
5.0%
Uppercase Letter 6
 
2.3%
Open Punctuation 3
 
1.2%
Close Punctuation 3
 
1.2%
Lowercase Letter 3
 
1.2%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 32
 
13.9%
모 23
 
10.0%
여 13
 
5.6%
장 13
 
5.6%
관 12
 
5.2%
스 10
 
4.3%
호 9
 
3.9%
로 4
 
1.7%
비 4
 
1.7%
원 3
 
1.3%
Other values (81) 108
46.8%
Uppercase Letter
ValueCountFrequency (%)
G 1
16.7%
V 1
16.7%
J 1
16.7%
Y 1
16.7%
S 1
16.7%
K 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
p 1
33.3%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
# 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 231
88.8%
Common 20
 
7.7%
Latin 9
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 32
 
13.9%
모 23
 
10.0%
여 13
 
5.6%
장 13
 
5.6%
관 12
 
5.2%
스 10
 
4.3%
호 9
 
3.9%
로 4
 
1.7%
비 4
 
1.7%
원 3
 
1.3%
Other values (81) 108
46.8%
Latin
ValueCountFrequency (%)
e 2
22.2%
G 1
11.1%
V 1
11.1%
p 1
11.1%
J 1
11.1%
Y 1
11.1%
S 1
11.1%
K 1
11.1%
Common
ValueCountFrequency (%)
13
65.0%
( 3
 
15.0%
) 3
 
15.0%
# 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 231
88.8%
ASCII 29
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 32
 
13.9%
모 23
 
10.0%
여 13
 
5.6%
장 13
 
5.6%
관 12
 
5.2%
스 10
 
4.3%
호 9
 
3.9%
로 4
 
1.7%
비 4
 
1.7%
원 3
 
1.3%
Other values (81) 108
46.8%
ASCII
ValueCountFrequency (%)
13
44.8%
( 3
 
10.3%
) 3
 
10.3%
e 2
 
6.9%
G 1
 
3.4%
V 1
 
3.4%
p 1
 
3.4%
J 1
 
3.4%
Y 1
 
3.4%
S 1
 
3.4%
Other values (2) 2
 
6.9%

영업소주소(도로명)
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T01:16:34.126897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length33
Mean length23.307692
Min length19

Characters and Unicode

Total characters1212
Distinct characters85
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row대구광역시 달성군 옥포읍 비슬로457길 3
2nd row대구광역시 달성군 논공읍 논공로15길 3
3rd row대구광역시 달성군 논공읍 남리길 4
4th row대구광역시 달성군 논공읍 논공로 834
5th row대구광역시 달성군 논공읍 남북리길 25
ValueCountFrequency (%)
대구광역시 52
19.6%
달성군 52
19.6%
논공읍 15
 
5.7%
가창면 10
 
3.8%
현풍읍 8
 
3.0%
옥포읍 7
 
2.6%
비슬로 6
 
2.3%
화원읍 4
 
1.5%
구지면 3
 
1.1%
2 3
 
1.1%
Other values (85) 105
39.6%
2023-12-13T01:16:34.487198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
17.6%
구 55
 
4.5%
성 54
 
4.5%
달 54
 
4.5%
대 53
 
4.4%
군 52
 
4.3%
시 52
 
4.3%
역 52
 
4.3%
광 52
 
4.3%
1 49
 
4.0%
Other values (75) 526
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
65.8%
Space Separator 213
 
17.6%
Decimal Number 182
 
15.0%
Dash Punctuation 8
 
0.7%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Math Symbol 3
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 55
 
6.9%
성 54
 
6.8%
달 54
 
6.8%
대 53
 
6.6%
군 52
 
6.5%
시 52
 
6.5%
역 52
 
6.5%
광 52
 
6.5%
로 39
 
4.9%
읍 37
 
4.6%
Other values (58) 298
37.3%
Decimal Number
ValueCountFrequency (%)
1 49
26.9%
2 28
15.4%
4 22
12.1%
3 19
 
10.4%
6 15
 
8.2%
5 14
 
7.7%
9 10
 
5.5%
8 10
 
5.5%
0 8
 
4.4%
7 7
 
3.8%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
> 1
33.3%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
65.8%
Common 414
34.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 55
 
6.9%
성 54
 
6.8%
달 54
 
6.8%
대 53
 
6.6%
군 52
 
6.5%
시 52
 
6.5%
역 52
 
6.5%
광 52
 
6.5%
로 39
 
4.9%
읍 37
 
4.6%
Other values (58) 298
37.3%
Common
ValueCountFrequency (%)
213
51.4%
1 49
 
11.8%
2 28
 
6.8%
4 22
 
5.3%
3 19
 
4.6%
6 15
 
3.6%
5 14
 
3.4%
9 10
 
2.4%
8 10
 
2.4%
- 8
 
1.9%
Other values (7) 26
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
65.8%
ASCII 414
34.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
51.4%
1 49
 
11.8%
2 28
 
6.8%
4 22
 
5.3%
3 19
 
4.6%
6 15
 
3.6%
5 14
 
3.4%
9 10
 
2.4%
8 10
 
2.4%
- 8
 
1.9%
Other values (7) 26
 
6.3%
Hangul
ValueCountFrequency (%)
구 55
 
6.9%
성 54
 
6.8%
달 54
 
6.8%
대 53
 
6.6%
군 52
 
6.5%
시 52
 
6.5%
역 52
 
6.5%
광 52
 
6.5%
로 39
 
4.9%
읍 37
 
4.6%
Other values (58) 298
37.3%

소재지전화
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-13T01:16:34.739521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length13
Mean length12.846154
Min length12

Characters and Unicode

Total characters668
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row 053-263-5688
2nd row 053-615-1171
3rd row 053-615-4577
4th row053-614-0477
5th row 053-615-4808
ValueCountFrequency (%)
053-263-5688 1
 
1.9%
053-615-1171 1
 
1.9%
053-627-6666 1
 
1.9%
053-767-7750 1
 
1.9%
053-767-9822 1
 
1.9%
053-616-0300 1
 
1.9%
053-611-4533 1
 
1.9%
053-616-2937 1
 
1.9%
053-616-1100 1
 
1.9%
053-633-5811 1
 
1.9%
Other values (42) 42
80.8%
2023-12-13T01:16:35.086776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
15.6%
5 86
12.9%
3 85
12.7%
0 80
12.0%
6 74
11.1%
1 70
10.5%
7 46
6.9%
44
6.6%
8 22
 
3.3%
2 21
 
3.1%
Other values (2) 36
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
77.8%
Dash Punctuation 104
 
15.6%
Space Separator 44
 
6.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 86
16.5%
3 85
16.3%
0 80
15.4%
6 74
14.2%
1 70
13.5%
7 46
8.8%
8 22
 
4.2%
2 21
 
4.0%
4 21
 
4.0%
9 15
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%
Space Separator
ValueCountFrequency (%)
44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 668
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
15.6%
5 86
12.9%
3 85
12.7%
0 80
12.0%
6 74
11.1%
1 70
10.5%
7 46
6.9%
44
6.6%
8 22
 
3.3%
2 21
 
3.1%
Other values (2) 36
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 668
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
15.6%
5 86
12.9%
3 85
12.7%
0 80
12.0%
6 74
11.1%
1 70
10.5%
7 46
6.9%
44
6.6%
8 22
 
3.3%
2 21
 
3.1%
Other values (2) 36
 
5.4%

객실수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)48.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.596154
Minimum0
Maximum48
Zeros1
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T01:16:35.217201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13.55
Q120
median24
Q330.25
95-th percentile44
Maximum48
Range48
Interquartile range (IQR)10.25

Descriptive statistics

Standard deviation9.4728914
Coefficient of variation (CV)0.37009042
Kurtosis0.58741033
Mean25.596154
Median Absolute Deviation (MAD)5.5
Skewness0.34575742
Sum1331
Variance89.735671
MonotonicityNot monotonic
2023-12-13T01:16:35.384261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
20 5
 
9.6%
24 5
 
9.6%
21 4
 
7.7%
27 4
 
7.7%
44 3
 
5.8%
30 3
 
5.8%
14 3
 
5.8%
18 3
 
5.8%
13 2
 
3.8%
25 2
 
3.8%
Other values (15) 18
34.6%
ValueCountFrequency (%)
0 1
 
1.9%
13 2
 
3.8%
14 3
5.8%
15 1
 
1.9%
18 3
5.8%
19 1
 
1.9%
20 5
9.6%
21 4
7.7%
22 1
 
1.9%
23 1
 
1.9%
ValueCountFrequency (%)
48 1
 
1.9%
45 1
 
1.9%
44 3
5.8%
40 1
 
1.9%
36 1
 
1.9%
35 1
 
1.9%
33 2
3.8%
32 2
3.8%
31 1
 
1.9%
30 3
5.8%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
숙박업(일반)
52 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숙박업(일반)
2nd row숙박업(일반)
3rd row숙박업(일반)
4th row숙박업(일반)
5th row숙박업(일반)

Common Values

ValueCountFrequency (%)
숙박업(일반) 52
100.0%

Length

2023-12-13T01:16:35.546135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:16:35.668343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 52
100.0%

허가일자
Date

Distinct49
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
Minimum1986-12-22 00:00:00
Maximum2018-07-19 00:00:00
2023-12-13T01:16:35.809040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:35.985956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

위도
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.736791
Minimum35.642271
Maximum35.880281
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T01:16:36.135368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.642271
5-th percentile35.660911
Q135.713378
median35.728879
Q335.748161
95-th percentile35.806014
Maximum35.880281
Range0.2380099
Interquartile range (IQR)0.034783175

Descriptive statistics

Standard deviation0.047930031
Coefficient of variation (CV)0.0013411957
Kurtosis1.8959183
Mean35.736791
Median Absolute Deviation (MAD)0.0210504
Skewness0.8406962
Sum1858.3131
Variance0.0022972878
MonotonicityNot monotonic
2023-12-13T01:16:36.338256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.7906939 1
 
1.9%
35.7302214 1
 
1.9%
35.7279405 1
 
1.9%
35.7456484 1
 
1.9%
35.7018184 1
 
1.9%
35.7460284 1
 
1.9%
35.742823 1
 
1.9%
35.8023968 1
 
1.9%
35.7324696 1
 
1.9%
35.6939981 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
35.6422712 1
1.9%
35.6422875 1
1.9%
35.6494282 1
1.9%
35.6703069 1
1.9%
35.6918588 1
1.9%
35.6939981 1
1.9%
35.6967153 1
1.9%
35.6980505 1
1.9%
35.6995545 1
1.9%
35.6999925 1
1.9%
ValueCountFrequency (%)
35.8802811 1
1.9%
35.8800375 1
1.9%
35.8089492 1
1.9%
35.8036121 1
1.9%
35.8023968 1
1.9%
35.8016573 1
1.9%
35.7906939 1
1.9%
35.7906902 1
1.9%
35.7904325 1
1.9%
35.7739392 1
1.9%

경도
Real number (ℝ)

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.49409
Minimum128.39743
Maximum128.68328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-13T01:16:36.860558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.39743
5-th percentile128.41433
Q1128.4414
median128.45281
Q3128.49661
95-th percentile128.67619
Maximum128.68328
Range0.2858577
Interquartile range (IQR)0.055208775

Descriptive statistics

Standard deviation0.089677925
Coefficient of variation (CV)0.00069791481
Kurtosis0.16110028
Mean128.49409
Median Absolute Deviation (MAD)0.03078655
Skewness1.2953862
Sum6681.6924
Variance0.0080421303
MonotonicityNot monotonic
2023-12-13T01:16:37.033311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4706554 1
 
1.9%
128.683284 1
 
1.9%
128.6577773 1
 
1.9%
128.486484 1
 
1.9%
128.4405646 1
 
1.9%
128.486618 1
 
1.9%
128.4272378 1
 
1.9%
128.4961097 1
 
1.9%
128.6811479 1
 
1.9%
128.4453883 1
 
1.9%
Other values (42) 42
80.8%
ValueCountFrequency (%)
128.3974263 1
1.9%
128.3975264 1
1.9%
128.4083812 1
1.9%
128.4192018 1
1.9%
128.4194488 1
1.9%
128.4217862 1
1.9%
128.4222669 1
1.9%
128.4230048 1
1.9%
128.4272378 1
1.9%
128.4323794 1
1.9%
ValueCountFrequency (%)
128.683284 1
1.9%
128.6818228 1
1.9%
128.6811479 1
1.9%
128.6721333 1
1.9%
128.6654257 1
1.9%
128.6618392 1
1.9%
128.661743 1
1.9%
128.6577773 1
1.9%
128.6572754 1
1.9%
128.6550981 1
1.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-09-04
52 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-04
2nd row2023-09-04
3rd row2023-09-04
4th row2023-09-04
5th row2023-09-04

Common Values

ValueCountFrequency (%)
2023-09-04 52
100.0%

Length

2023-12-13T01:16:37.213678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:16:37.357234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-04 52
100.0%

Interactions

2023-12-13T01:16:32.815860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.255150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.542102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.911625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.344002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.650460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:33.007919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.437439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:16:32.730806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:16:37.436419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소주소(도로명)소재지전화객실수허가일자위도경도
업소명1.0001.0001.0000.9770.9940.7051.000
영업소주소(도로명)1.0001.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
객실수0.9771.0001.0001.0000.8100.3910.464
허가일자0.9941.0001.0000.8101.0001.0001.000
위도0.7051.0001.0000.3911.0001.0000.793
경도1.0001.0001.0000.4641.0000.7931.000
2023-12-13T01:16:37.572689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
객실수위도경도
객실수1.000-0.087-0.412
위도-0.0871.0000.214
경도-0.4120.2141.000

Missing values

2023-12-13T01:16:33.148858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:16:33.294292image/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

업소명영업소주소(도로명)소재지전화객실수업종명허가일자위도경도데이터기준일자
0모텔 이너스대구광역시 달성군 옥포읍 비슬로457길 3053-263-568821숙박업(일반)1986-12-2235.790694128.4706552023-09-04
1룩스모텔대구광역시 달성군 논공읍 논공로15길 3053-615-117118숙박업(일반)1988-07-0835.728486128.4416742023-09-04
2비즈니스호텔 유럽대구광역시 달성군 논공읍 남리길 4053-615-457724숙박업(일반)1988-09-2935.726697128.4481792023-09-04
3원앙파크장대구광역시 달성군 논공읍 논공로 834053-614-047715숙박업(일반)1988-12-2035.727178128.4370012023-09-04
4에로스 모텔대구광역시 달성군 논공읍 남북리길 25053-615-480821숙박업(일반)1988-12-2735.727534128.4503472023-09-04
5(주)호텔리움대구광역시 달성군 옥포읍 비슬로 2312-6053-611-669936숙박업(일반)1993-12-1335.79069128.4734912023-09-04
6귀빈장여관대구광역시 달성군 화원읍 비슬로511길 24053-638-212713숙박업(일반)1994-04-1635.803612128.4962292023-09-04
7뉴욕모텔대구광역시 달성군 논공읍 용호로 26-1053-615-122030숙박업(일반)1994-02-0735.72861128.4454122023-09-04
8상록산장여관대구광역시 달성군 논공읍 비슬로 1054053-615-133125숙박업(일반)1994-04-1335.729149128.4323792023-09-04
9SKY 모텔대구광역시 달성군 논공읍 논공중앙로34길 42053-615-398726숙박업(일반)1994-10-0435.726018128.4555222023-09-04
업소명영업소주소(도로명)소재지전화객실수업종명허가일자위도경도데이터기준일자
42첼로모텔대구광역시 달성군 현풍읍 현풍중앙로 122-1053-615-747733숙박업(일반)2000-11-1735.699554128.4419372023-09-04
43대화모텔대구광역시 달성군 유가읍 휴양림길 414053-615-533624숙박업(일반)2001-06-2735.702281128.4955112023-09-04
44오데오여관대구광역시 달성군 논공읍 남리길 10053-616-611118숙박업(일반)2008-01-2935.726281128.4483942023-09-04
45알토모텔대구광역시 달성군 논공읍 금포로 13053-615-870045숙박업(일반)2014-04-2935.773939128.4230052023-09-04
46스타모텔대구광역시 달성군 논공읍 비슬로 1648053-616-810027숙박업(일반)2014-05-1435.767109128.4083812023-09-04
47호텔 더 디종대구광역시 달성군 현풍읍 테크노공원로 31053-263-151548숙박업(일반)2016-05-1935.691859128.4561962023-09-04
48칸호텔대구광역시 달성군 구지면 달성2차동1로 141053-263-077744숙박업(일반)2016-12-2135.642288128.4217862023-09-04
49호텔지(G)대구광역시 달성군 구지면 달성2차동1로 145053-263-551144숙박업(일반)2016-12-2635.642271128.4222672023-09-04
50홍시모텔대구광역시 달성군 현풍읍 현풍중앙로26길 10, 지하1~지상5층053-617-737344숙박업(일반)2017-03-2335.699993128.4417912023-09-04
51다올 호텔대구광역시 달성군 구지면 국가산단대로42길 21, 2층~4층053-611-813340숙박업(일반)2018-07-1935.649428128.4192022023-09-04