Overview

Dataset statistics

Number of variables7
Number of observations95
Missing cells9
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory59.4 B

Variable types

Numeric2
Categorical1
Text4

Dataset

Description강원도 삼척시 관내 숙박정보 현황 안내
Author강원도 삼척시
URLhttps://www.data.go.kr/data/15062889/fileData.do

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
소재지전화 has 9 (9.5%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:37:21.928250
Analysis finished2023-12-12 22:37:23.479111
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48
Minimum1
Maximum95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T07:37:23.582475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.7
Q124.5
median48
Q371.5
95-th percentile90.3
Maximum95
Range94
Interquartile range (IQR)47

Descriptive statistics

Standard deviation27.568098
Coefficient of variation (CV)0.57433536
Kurtosis-1.2
Mean48
Median Absolute Deviation (MAD)24
Skewness0
Sum4560
Variance760
MonotonicityStrictly increasing
2023-12-13T07:37:23.745154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
2 1
 
1.1%
71 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
Other values (85) 85
89.5%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
95 1
1.1%
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%

업종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size892.0 B
숙박업(일반)
70 
숙박업(생활)
25 

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) 70
73.7%
숙박업(생활) 25
 
26.3%

Length

2023-12-13T07:37:23.907506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:37:24.013907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 70
73.7%
숙박업(생활 25
 
26.3%

업소명
Text

UNIQUE 

Distinct95
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T07:37:24.311351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.2736842
Min length3

Characters and Unicode

Total characters501
Distinct characters159
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)100.0%

Sample

1st row엠모텔
2nd row태백여관
3rd row현대여관
4th row모텔엠제이
5th row라벤다모텔
ValueCountFrequency (%)
삼척 2
 
2.0%
쏠비치 2
 
2.0%
엠모텔 1
 
1.0%
두메관광농원 1
 
1.0%
탄광촌 1
 
1.0%
해화담모텔b 1
 
1.0%
빅원모텔 1
 
1.0%
위너스모텔 1
 
1.0%
미로정원 1
 
1.0%
호텔 1
 
1.0%
Other values (88) 88
88.0%
2023-12-13T07:37:24.780886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 55
 
11.0%
모 48
 
9.6%
스 17
 
3.4%
션 15
 
3.0%
펜 14
 
2.8%
여 14
 
2.8%
리 9
 
1.8%
삼 9
 
1.8%
인 9
 
1.8%
호 8
 
1.6%
Other values (149) 303
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 490
97.8%
Space Separator 5
 
1.0%
Uppercase Letter 4
 
0.8%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 55
 
11.2%
모 48
 
9.8%
스 17
 
3.5%
션 15
 
3.1%
펜 14
 
2.9%
여 14
 
2.9%
리 9
 
1.8%
삼 9
 
1.8%
인 9
 
1.8%
호 8
 
1.6%
Other values (143) 292
59.6%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 490
97.8%
Common 7
 
1.4%
Latin 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 55
 
11.2%
모 48
 
9.8%
스 17
 
3.5%
션 15
 
3.1%
펜 14
 
2.9%
여 14
 
2.9%
리 9
 
1.8%
삼 9
 
1.8%
인 9
 
1.8%
호 8
 
1.6%
Other values (143) 292
59.6%
Common
ValueCountFrequency (%)
5
71.4%
) 1
 
14.3%
( 1
 
14.3%
Latin
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 490
97.8%
ASCII 11
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 55
 
11.2%
모 48
 
9.8%
스 17
 
3.5%
션 15
 
3.1%
펜 14
 
2.9%
여 14
 
2.9%
리 9
 
1.8%
삼 9
 
1.8%
인 9
 
1.8%
호 8
 
1.6%
Other values (143) 292
59.6%
ASCII
ValueCountFrequency (%)
5
45.5%
B 2
 
18.2%
) 1
 
9.1%
( 1
 
9.1%
C 1
 
9.1%
A 1
 
9.1%

영업소 주소(도로명)
Text

Distinct93
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T07:37:25.161013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length31
Mean length23.536842
Min length18

Characters and Unicode

Total characters2236
Distinct characters111
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)95.8%

Sample

1st row강원도 삼척시 대학로 59-14 (당저동)
2nd row강원도 삼척시 도계읍 도계로 299-28
3rd row강원도 삼척시 진주로 12-21, A동 222호 (남양동, 중앙시장)
4th row강원도 삼척시 오십천로 423 (남양동)
5th row강원도 삼척시 대학로 49-9 (당저동)
ValueCountFrequency (%)
강원도 95
18.6%
삼척시 95
18.6%
남양동 31
 
6.1%
근덕면 16
 
3.1%
원덕읍 15
 
2.9%
진주로 9
 
1.8%
삼척로 8
 
1.6%
12-21 8
 
1.6%
a동 8
 
1.6%
중앙시장 8
 
1.6%
Other values (148) 217
42.5%
2023-12-13T07:37:25.756394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
415
18.6%
원 118
 
5.3%
시 112
 
5.0%
도 111
 
5.0%
척 105
 
4.7%
삼 103
 
4.6%
강 97
 
4.3%
2 76
 
3.4%
1 68
 
3.0%
로 63
 
2.8%
Other values (101) 968
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1307
58.5%
Space Separator 415
 
18.6%
Decimal Number 342
 
15.3%
Close Punctuation 50
 
2.2%
Open Punctuation 50
 
2.2%
Dash Punctuation 40
 
1.8%
Other Punctuation 24
 
1.1%
Uppercase Letter 8
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 118
 
9.0%
시 112
 
8.6%
도 111
 
8.5%
척 105
 
8.0%
삼 103
 
7.9%
강 97
 
7.4%
로 63
 
4.8%
동 59
 
4.5%
길 41
 
3.1%
남 34
 
2.6%
Other values (85) 464
35.5%
Decimal Number
ValueCountFrequency (%)
2 76
22.2%
1 68
19.9%
4 36
10.5%
5 29
 
8.5%
3 28
 
8.2%
9 25
 
7.3%
6 24
 
7.0%
7 23
 
6.7%
8 17
 
5.0%
0 16
 
4.7%
Space Separator
ValueCountFrequency (%)
415
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1307
58.5%
Common 921
41.2%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 118
 
9.0%
시 112
 
8.6%
도 111
 
8.5%
척 105
 
8.0%
삼 103
 
7.9%
강 97
 
7.4%
로 63
 
4.8%
동 59
 
4.5%
길 41
 
3.1%
남 34
 
2.6%
Other values (85) 464
35.5%
Common
ValueCountFrequency (%)
415
45.1%
2 76
 
8.3%
1 68
 
7.4%
) 50
 
5.4%
( 50
 
5.4%
- 40
 
4.3%
4 36
 
3.9%
5 29
 
3.1%
3 28
 
3.0%
9 25
 
2.7%
Other values (5) 104
 
11.3%
Latin
ValueCountFrequency (%)
A 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1307
58.5%
ASCII 929
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
415
44.7%
2 76
 
8.2%
1 68
 
7.3%
) 50
 
5.4%
( 50
 
5.4%
- 40
 
4.3%
4 36
 
3.9%
5 29
 
3.1%
3 28
 
3.0%
9 25
 
2.7%
Other values (6) 112
 
12.1%
Hangul
ValueCountFrequency (%)
원 118
 
9.0%
시 112
 
8.6%
도 111
 
8.5%
척 105
 
8.0%
삼 103
 
7.9%
강 97
 
7.4%
로 63
 
4.8%
동 59
 
4.5%
길 41
 
3.1%
남 34
 
2.6%
Other values (85) 464
35.5%

영업소 주소(지번)
Text

Distinct86
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size892.0 B
2023-12-13T07:37:26.110651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length22.789474
Min length14

Characters and Unicode

Total characters2165
Distinct characters100
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)86.3%

Sample

1st row강원도 삼척시 당저동 129-5
2nd row강원도 삼척시 도계읍 도계리 373-14
3rd row강원도 삼척시 남양동 55-4 6통4반
4th row강원도 삼척시 남양동 36 6통6반
5th row강원도 삼척시 성내동 131-4 7통4반
ValueCountFrequency (%)
강원도 95
19.5%
삼척시 95
19.5%
남양동 31
 
6.4%
근덕면 16
 
3.3%
원덕읍 15
 
3.1%
장호리 10
 
2.1%
6통4반 8
 
1.6%
임원리 8
 
1.6%
55-4 7
 
1.4%
갈천동 6
 
1.2%
Other values (144) 195
40.1%
2023-12-13T07:37:26.639892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
486
22.4%
원 119
 
5.5%
1 104
 
4.8%
도 104
 
4.8%
삼 96
 
4.4%
척 96
 
4.4%
시 96
 
4.4%
강 95
 
4.4%
- 78
 
3.6%
3 63
 
2.9%
Other values (90) 828
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1143
52.8%
Space Separator 486
22.4%
Decimal Number 446
 
20.6%
Dash Punctuation 78
 
3.6%
Close Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 119
 
10.4%
도 104
 
9.1%
삼 96
 
8.4%
척 96
 
8.4%
시 96
 
8.4%
강 95
 
8.3%
동 54
 
4.7%
리 47
 
4.1%
통 36
 
3.1%
반 36
 
3.1%
Other values (72) 364
31.8%
Decimal Number
ValueCountFrequency (%)
1 104
23.3%
3 63
14.1%
4 62
13.9%
2 53
11.9%
5 49
11.0%
6 37
 
8.3%
0 21
 
4.7%
9 20
 
4.5%
7 19
 
4.3%
8 18
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
A 1
33.3%
B 1
33.3%
Space Separator
ValueCountFrequency (%)
486
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1143
52.8%
Common 1019
47.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 119
 
10.4%
도 104
 
9.1%
삼 96
 
8.4%
척 96
 
8.4%
시 96
 
8.4%
강 95
 
8.3%
동 54
 
4.7%
리 47
 
4.1%
통 36
 
3.1%
반 36
 
3.1%
Other values (72) 364
31.8%
Common
ValueCountFrequency (%)
486
47.7%
1 104
 
10.2%
- 78
 
7.7%
3 63
 
6.2%
4 62
 
6.1%
2 53
 
5.2%
5 49
 
4.8%
6 37
 
3.6%
0 21
 
2.1%
9 20
 
2.0%
Other values (5) 46
 
4.5%
Latin
ValueCountFrequency (%)
D 1
33.3%
A 1
33.3%
B 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1143
52.8%
ASCII 1022
47.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
486
47.6%
1 104
 
10.2%
- 78
 
7.6%
3 63
 
6.2%
4 62
 
6.1%
2 53
 
5.2%
5 49
 
4.8%
6 37
 
3.6%
0 21
 
2.1%
9 20
 
2.0%
Other values (8) 49
 
4.8%
Hangul
ValueCountFrequency (%)
원 119
 
10.4%
도 104
 
9.1%
삼 96
 
8.4%
척 96
 
8.4%
시 96
 
8.4%
강 95
 
8.3%
동 54
 
4.7%
리 47
 
4.1%
통 36
 
3.1%
반 36
 
3.1%
Other values (72) 364
31.8%

소재지전화
Text

MISSING 

Distinct83
Distinct (%)96.5%
Missing9
Missing (%)9.5%
Memory size892.0 B
2023-12-13T07:37:26.962308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1032
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

Unique81 ?
Unique (%)94.2%

Sample

1st row033-573-5800
2nd row033-541-2129
3rd row033-573-2588
4th row033-574-3211
5th row033-574-2543
ValueCountFrequency (%)
033-575-7000 3
 
3.5%
033-575-4846 2
 
2.3%
033-574-2626 1
 
1.2%
033-573-5321 1
 
1.2%
033-575-2828 1
 
1.2%
033-575-7070 1
 
1.2%
033-575-5782 1
 
1.2%
033-572-7887 1
 
1.2%
033-575-5566 1
 
1.2%
033-541-5411 1
 
1.2%
Other values (73) 73
84.9%
2023-12-13T07:37:27.419128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 217
21.0%
- 172
16.7%
0 146
14.1%
5 132
12.8%
7 110
10.7%
4 56
 
5.4%
2 51
 
4.9%
1 47
 
4.6%
8 41
 
4.0%
6 39
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 860
83.3%
Dash Punctuation 172
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 217
25.2%
0 146
17.0%
5 132
15.3%
7 110
12.8%
4 56
 
6.5%
2 51
 
5.9%
1 47
 
5.5%
8 41
 
4.8%
6 39
 
4.5%
9 21
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1032
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 217
21.0%
- 172
16.7%
0 146
14.1%
5 132
12.8%
7 110
10.7%
4 56
 
5.4%
2 51
 
4.9%
1 47
 
4.6%
8 41
 
4.0%
6 39
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1032
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 217
21.0%
- 172
16.7%
0 146
14.1%
5 132
12.8%
7 110
10.7%
4 56
 
5.4%
2 51
 
4.9%
1 47
 
4.6%
8 41
 
4.0%
6 39
 
3.8%

객실수
Real number (ℝ)

Distinct42
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.063158
Minimum2
Maximum492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size987.0 B
2023-12-13T07:37:27.615575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q111
median19
Q327
95-th percentile51.3
Maximum492
Range490
Interquartile range (IQR)16

Descriptive statistics

Standard deviation54.149873
Coefficient of variation (CV)1.9295716
Kurtosis59.732875
Mean28.063158
Median Absolute Deviation (MAD)8
Skewness7.3133521
Sum2666
Variance2932.2087
MonotonicityNot monotonic
2023-12-13T07:37:27.786295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
10 7
 
7.4%
27 7
 
7.4%
20 5
 
5.3%
15 5
 
5.3%
18 5
 
5.3%
6 4
 
4.2%
11 4
 
4.2%
14 4
 
4.2%
23 3
 
3.2%
22 3
 
3.2%
Other values (32) 48
50.5%
ValueCountFrequency (%)
2 1
 
1.1%
4 1
 
1.1%
5 2
 
2.1%
6 4
4.2%
7 2
 
2.1%
8 3
3.2%
9 2
 
2.1%
10 7
7.4%
11 4
4.2%
12 1
 
1.1%
ValueCountFrequency (%)
492 1
1.1%
217 1
1.1%
100 1
1.1%
76 1
1.1%
52 1
1.1%
51 1
1.1%
48 1
1.1%
44 1
1.1%
40 1
1.1%
38 1
1.1%

Interactions

2023-12-13T07:37:22.956717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:22.745123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:23.090894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:37:22.848001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:37:27.912364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종업소명영업소 주소(도로명)영업소 주소(지번)소재지전화객실수
연번1.0000.9931.0000.8430.9370.9130.289
업종0.9931.0001.0000.0000.8310.5080.126
업소명1.0001.0001.0001.0001.0001.0001.000
영업소 주소(도로명)0.8430.0001.0001.0001.0000.9890.000
영업소 주소(지번)0.9370.8311.0001.0001.0000.9630.000
소재지전화0.9130.5081.0000.9890.9631.0000.000
객실수0.2890.1261.0000.0000.0000.0001.000
2023-12-13T07:37:28.047116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수업종
연번1.0000.1260.884
객실수0.1261.0000.049
업종0.8840.0491.000

Missing values

2023-12-13T07:37:23.244233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:37:23.417001image/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

연번업종업소명영업소 주소(도로명)영업소 주소(지번)소재지전화객실수
01숙박업(일반)엠모텔강원도 삼척시 대학로 59-14 (당저동)강원도 삼척시 당저동 129-5033-573-580020
12숙박업(일반)태백여관강원도 삼척시 도계읍 도계로 299-28강원도 삼척시 도계읍 도계리 373-14033-541-212910
23숙박업(일반)현대여관강원도 삼척시 진주로 12-21, A동 222호 (남양동, 중앙시장)강원도 삼척시 남양동 55-4 6통4반033-573-258813
34숙박업(일반)모텔엠제이강원도 삼척시 오십천로 423 (남양동)강원도 삼척시 남양동 36 6통6반033-574-321119
45숙박업(일반)라벤다모텔강원도 삼척시 대학로 49-9 (당저동)강원도 삼척시 성내동 131-4 7통4반033-574-254322
56숙박업(일반)삼척여인숙강원도 삼척시 성내길 22 (성내동)강원도 삼척시 성내동 2-19 1통2반033-574-52927
67숙박업(일반)중앙여인숙강원도 삼척시 진주로 12-21, A동 209호 (남양동, 중앙시장)강원도 삼척시 남양동 55-4 6통4반033-573-44686
78숙박업(일반)영화여관강원도 삼척시 진주로 12-21, A동 2층 217,256호 (남양동, 중앙시장)강원도 삼척시 남양동 55-4 6통4반033-574-48417
89숙박업(일반)도계모텔강원도 삼척시 도계읍 도계로 226강원도 삼척시 도계읍 전두리 63-10 1통3반033-541-660022
910숙박업(일반)신선여인숙강원도 삼척시 진주로 12-21, A동 213호 (남양동, 중앙시장)강원도 삼척시 남양동 55-4 6통4반033-574-75576
연번업종업소명영업소 주소(도로명)영업소 주소(지번)소재지전화객실수
8586숙박업(생활)굿모닝펜션강원도 삼척시 근덕면 장호1길 7강원도 삼척시 근덕면 장호리 212033-573-532113
8687숙박업(생활)씨엘블루펜션강원도 삼척시 새천년도로 115 (정하동)강원도 삼척시 정하동 41-225033-574-262611
8788숙박업(생활)무지개펜션강원도 삼척시 근덕면 장호안1길 16-45, 무지개펜션강원도 삼척시 근덕면 장호리 185 무지개펜션<NA>10
8889숙박업(생활)펜션오라강원도 삼척시 근덕면 삼척로 2095강원도 삼척시 근덕면 장호리 191-1 장호기사식당033-575-666314
8990숙박업(생활)휴정수펜션강원도 삼척시 근덕면 장호항길 59강원도 삼척시 근덕면 장호리 33-1<NA>10
9091숙박업(생활)더블유펜션강원도 삼척시 근덕면 용화길 27-66강원도 삼척시 근덕면 용화리 253-7<NA>15
9192숙박업(생활)피렌체강원도 삼척시 근덕면 삼척로 2245강원도 삼척시 근덕면 용화리 161-1<NA>15
9293숙박업(생활)노곡소득사업운영회강원도 삼척시 원덕읍 임원안길 492, 외 2필지강원도 삼척시 원덕읍 임원리 1142<NA>21
9394숙박업(생활)디오션펜션강원도 삼척시 근덕면 장호안2길 14강원도 삼척시 근덕면 장호리 191-9<NA>9
9495숙박업(생활)스노클비치호텔강원도 삼척시 근덕면 장호항길 76, 스노클비치호텔 3, 4층강원도 삼척시 근덕면 장호리 6-1<NA>14