Overview

Dataset statistics

Number of variables7
Number of observations100
Missing cells6
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory57.3 B

Variable types

Categorical3
Text4

Dataset

Description경기도 시흥시 숙박업 현황입니다. 경기도 시흥시 숙박업 현황에는 업소명,영업소 주소(도로명소재지,지번소재지),소재지전화, 담당자연락처가 있습니다.
URLhttps://www.data.go.kr/data/15055103/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일 has constant value ""Constant
담당자 연락처 has constant value ""Constant
소재지전화 has 6 (6.0%) missing valuesMissing
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:35:23.025477
Analysis finished2023-12-12 03:35:23.673410
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
숙박업(일반)
100 

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) 100
100.0%

Length

2023-12-12T12:35:23.767453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:35:23.926168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 100
100.0%

업소명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T12:35:24.258442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length22
Mean length6.8
Min length2

Characters and Unicode

Total characters680
Distinct characters187
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

Unique100 ?
Unique (%)100.0%

Sample

1st row르씨엘
2nd row꼬모도모텔
3rd row브라운홈모텔
4th row곰모텔
5th rowGG모텔
ValueCountFrequency (%)
호텔 2
 
1.8%
hotel 2
 
1.8%
르씨엘 1
 
0.9%
벨라지오호텔 1
 
0.9%
7세븐헤르츠(seven 1
 
0.9%
테마파크모텔 1
 
0.9%
하센나비야 1
 
0.9%
렉스빌 1
 
0.9%
맥스(max 1
 
0.9%
프라자모텔 1
 
0.9%
Other values (101) 101
89.4%
2023-12-12T12:35:24.785119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 67
 
9.9%
호 46
 
6.8%
모 22
 
3.2%
( 18
 
2.6%
) 18
 
2.6%
스 17
 
2.5%
이 17
 
2.5%
13
 
1.9%
E 12
 
1.8%
T 10
 
1.5%
Other values (177) 440
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 497
73.1%
Uppercase Letter 94
 
13.8%
Lowercase Letter 25
 
3.7%
Open Punctuation 18
 
2.6%
Close Punctuation 18
 
2.6%
Space Separator 13
 
1.9%
Decimal Number 13
 
1.9%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 67
 
13.5%
호 46
 
9.3%
모 22
 
4.4%
스 17
 
3.4%
이 17
 
3.4%
시 9
 
1.8%
라 9
 
1.8%
에 8
 
1.6%
점 8
 
1.6%
인 7
 
1.4%
Other values (133) 287
57.7%
Uppercase Letter
ValueCountFrequency (%)
E 12
12.8%
T 10
10.6%
H 8
 
8.5%
S 8
 
8.5%
L 8
 
8.5%
O 7
 
7.4%
R 5
 
5.3%
A 5
 
5.3%
W 4
 
4.3%
M 4
 
4.3%
Other values (11) 23
24.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
24.0%
t 3
12.0%
o 3
12.0%
l 3
12.0%
i 2
 
8.0%
n 2
 
8.0%
h 2
 
8.0%
s 1
 
4.0%
u 1
 
4.0%
r 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 3
23.1%
2 3
23.1%
0 2
15.4%
6 2
15.4%
5 1
 
7.7%
7 1
 
7.7%
8 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
. 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 497
73.1%
Latin 119
 
17.5%
Common 64
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 67
 
13.5%
호 46
 
9.3%
모 22
 
4.4%
스 17
 
3.4%
이 17
 
3.4%
시 9
 
1.8%
라 9
 
1.8%
에 8
 
1.6%
점 8
 
1.6%
인 7
 
1.4%
Other values (133) 287
57.7%
Latin
ValueCountFrequency (%)
E 12
 
10.1%
T 10
 
8.4%
H 8
 
6.7%
S 8
 
6.7%
L 8
 
6.7%
O 7
 
5.9%
e 6
 
5.0%
R 5
 
4.2%
A 5
 
4.2%
W 4
 
3.4%
Other values (22) 46
38.7%
Common
ValueCountFrequency (%)
( 18
28.1%
) 18
28.1%
13
20.3%
1 3
 
4.7%
2 3
 
4.7%
0 2
 
3.1%
6 2
 
3.1%
5 1
 
1.6%
7 1
 
1.6%
& 1
 
1.6%
Other values (2) 2
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 497
73.1%
ASCII 183
 
26.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 67
 
13.5%
호 46
 
9.3%
모 22
 
4.4%
스 17
 
3.4%
이 17
 
3.4%
시 9
 
1.8%
라 9
 
1.8%
에 8
 
1.6%
점 8
 
1.6%
인 7
 
1.4%
Other values (133) 287
57.7%
ASCII
ValueCountFrequency (%)
( 18
 
9.8%
) 18
 
9.8%
13
 
7.1%
E 12
 
6.6%
T 10
 
5.5%
H 8
 
4.4%
S 8
 
4.4%
L 8
 
4.4%
O 7
 
3.8%
e 6
 
3.3%
Other values (34) 75
41.0%

영업소 주소(도로명)
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T12:35:25.114241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length40
Mean length27.17
Min length19

Characters and Unicode

Total characters2717
Distinct characters91
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 호현로10번길 19 (신천동)
2nd row경기도 시흥시 복지로 13-9 (신천동)
3rd row경기도 시흥시 도일로112번길 3 (거모동)
4th row경기도 시흥시 뱀내장터로 10-6 (신천동)
5th row경기도 시흥시 호현로22번길 26 (신천동)
ValueCountFrequency (%)
경기도 100
18.9%
시흥시 100
18.9%
정왕동 51
 
9.6%
월곶동 24
 
4.5%
월곶중앙로70번안길 13
 
2.5%
평안상가4길 8
 
1.5%
신천동 7
 
1.3%
옥구상가4길 7
 
1.3%
중심상가1길 6
 
1.1%
월곶중앙로58번길 6
 
1.1%
Other values (136) 207
39.1%
2023-12-12T12:35:25.651846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
 
15.8%
시 200
 
7.4%
( 109
 
4.0%
) 109
 
4.0%
도 105
 
3.9%
기 102
 
3.8%
동 101
 
3.7%
흥 101
 
3.7%
1 101
 
3.7%
경 100
 
3.7%
Other values (81) 1259
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1530
56.3%
Decimal Number 442
 
16.3%
Space Separator 430
 
15.8%
Open Punctuation 109
 
4.0%
Close Punctuation 109
 
4.0%
Other Punctuation 48
 
1.8%
Dash Punctuation 41
 
1.5%
Math Symbol 6
 
0.2%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 200
 
13.1%
도 105
 
6.9%
기 102
 
6.7%
동 101
 
6.6%
흥 101
 
6.6%
경 100
 
6.5%
길 87
 
5.7%
왕 58
 
3.8%
정 58
 
3.8%
로 51
 
3.3%
Other values (63) 567
37.1%
Decimal Number
ValueCountFrequency (%)
1 101
22.9%
3 48
10.9%
2 48
10.9%
4 47
10.6%
5 41
9.3%
0 37
 
8.4%
7 35
 
7.9%
6 32
 
7.2%
8 32
 
7.2%
9 21
 
4.8%
Other Punctuation
ValueCountFrequency (%)
, 34
70.8%
. 14
29.2%
Space Separator
ValueCountFrequency (%)
430
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1530
56.3%
Common 1185
43.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 200
 
13.1%
도 105
 
6.9%
기 102
 
6.7%
동 101
 
6.6%
흥 101
 
6.6%
경 100
 
6.5%
길 87
 
5.7%
왕 58
 
3.8%
정 58
 
3.8%
로 51
 
3.3%
Other values (63) 567
37.1%
Common
ValueCountFrequency (%)
430
36.3%
( 109
 
9.2%
) 109
 
9.2%
1 101
 
8.5%
3 48
 
4.1%
2 48
 
4.1%
4 47
 
4.0%
- 41
 
3.5%
5 41
 
3.5%
0 37
 
3.1%
Other values (7) 174
14.7%
Latin
ValueCountFrequency (%)
Ⅰ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1530
56.3%
ASCII 1185
43.6%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
36.3%
( 109
 
9.2%
) 109
 
9.2%
1 101
 
8.5%
3 48
 
4.1%
2 48
 
4.1%
4 47
 
4.0%
- 41
 
3.5%
5 41
 
3.5%
0 37
 
3.1%
Other values (7) 174
14.7%
Hangul
ValueCountFrequency (%)
시 200
 
13.1%
도 105
 
6.9%
기 102
 
6.7%
동 101
 
6.6%
흥 101
 
6.6%
경 100
 
6.5%
길 87
 
5.7%
왕 58
 
3.8%
정 58
 
3.8%
로 51
 
3.3%
Other values (63) 567
37.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 2
100.0%

영업소 주소(지번)
Text

Distinct98
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T12:35:26.117525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length19
Mean length20.91
Min length17

Characters and Unicode

Total characters2091
Distinct characters54
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

Unique96 ?
Unique (%)96.0%

Sample

1st row경기도 시흥시 신천동 708-14
2nd row경기도 시흥시 신천동 709-22
3rd row경기도 시흥시 거모동 1657-1
4th row경기도 시흥시 신천동 707-33
5th row경기도 시흥시 신천동 709-5
ValueCountFrequency (%)
경기도 100
23.4%
시흥시 100
23.4%
정왕동 58
13.6%
월곶동 25
 
5.8%
신천동 10
 
2.3%
최초신고 8
 
1.9%
거모동 3
 
0.7%
2706-4 2
 
0.5%
대야동 2
 
0.5%
4,5층 2
 
0.5%
Other values (116) 118
27.6%
2023-12-12T12:35:26.843916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
428
20.5%
시 200
 
9.6%
1 124
 
5.9%
도 101
 
4.8%
흥 101
 
4.8%
경 100
 
4.8%
기 100
 
4.8%
동 100
 
4.8%
- 97
 
4.6%
7 76
 
3.6%
Other values (44) 664
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 957
45.8%
Decimal Number 566
27.1%
Space Separator 428
20.5%
Dash Punctuation 97
 
4.6%
Other Punctuation 22
 
1.1%
Close Punctuation 10
 
0.5%
Open Punctuation 10
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 200
20.9%
도 101
10.6%
흥 101
10.6%
경 100
10.4%
기 100
10.4%
동 100
10.4%
왕 58
 
6.1%
정 58
 
6.1%
곶 25
 
2.6%
월 25
 
2.6%
Other values (27) 89
9.3%
Decimal Number
ValueCountFrequency (%)
1 124
21.9%
7 76
13.4%
0 67
11.8%
3 56
9.9%
6 47
 
8.3%
2 46
 
8.1%
5 41
 
7.2%
8 39
 
6.9%
4 36
 
6.4%
9 34
 
6.0%
Other Punctuation
ValueCountFrequency (%)
. 16
72.7%
, 6
 
27.3%
Space Separator
ValueCountFrequency (%)
428
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1134
54.2%
Hangul 957
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 200
20.9%
도 101
10.6%
흥 101
10.6%
경 100
10.4%
기 100
10.4%
동 100
10.4%
왕 58
 
6.1%
정 58
 
6.1%
곶 25
 
2.6%
월 25
 
2.6%
Other values (27) 89
9.3%
Common
ValueCountFrequency (%)
428
37.7%
1 124
 
10.9%
- 97
 
8.6%
7 76
 
6.7%
0 67
 
5.9%
3 56
 
4.9%
6 47
 
4.1%
2 46
 
4.1%
5 41
 
3.6%
8 39
 
3.4%
Other values (7) 113
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1134
54.2%
Hangul 957
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
428
37.7%
1 124
 
10.9%
- 97
 
8.6%
7 76
 
6.7%
0 67
 
5.9%
3 56
 
4.9%
6 47
 
4.1%
2 46
 
4.1%
5 41
 
3.6%
8 39
 
3.4%
Other values (7) 113
 
10.0%
Hangul
ValueCountFrequency (%)
시 200
20.9%
도 101
10.6%
흥 101
10.6%
경 100
10.4%
기 100
10.4%
동 100
10.4%
왕 58
 
6.1%
정 58
 
6.1%
곶 25
 
2.6%
월 25
 
2.6%
Other values (27) 89
9.3%

소재지전화
Text

MISSING 

Distinct94
Distinct (%)100.0%
Missing6
Missing (%)6.0%
Memory size932.0 B
2023-12-12T12:35:27.198813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.978723
Min length12

Characters and Unicode

Total characters1314
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

Unique94 ?
Unique (%)100.0%

Sample

1st row 031- 313-3666
2nd row031 -313 -2411
3rd row 031- 494-8200
4th row 031- 311-4588
5th row 031- 315-6661
ValueCountFrequency (%)
031 93
43.5%
319 4
 
1.9%
499 3
 
1.4%
431 3
 
1.4%
432 3
 
1.4%
318 2
 
0.9%
497 2
 
0.9%
3110 2
 
0.9%
319-9713 1
 
0.5%
434-3245 1
 
0.5%
Other values (100) 100
46.7%
2023-12-12T12:35:27.671177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 200
15.2%
- 188
14.3%
186
14.2%
1 177
13.5%
0 168
12.8%
4 98
7.5%
9 72
 
5.5%
6 52
 
4.0%
8 49
 
3.7%
7 44
 
3.3%
Other values (2) 80
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 940
71.5%
Dash Punctuation 188
 
14.3%
Space Separator 186
 
14.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 200
21.3%
1 177
18.8%
0 168
17.9%
4 98
10.4%
9 72
 
7.7%
6 52
 
5.5%
8 49
 
5.2%
7 44
 
4.7%
2 43
 
4.6%
5 37
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 188
100.0%
Space Separator
ValueCountFrequency (%)
186
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1314
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 200
15.2%
- 188
14.3%
186
14.2%
1 177
13.5%
0 168
12.8%
4 98
7.5%
9 72
 
5.5%
6 52
 
4.0%
8 49
 
3.7%
7 44
 
3.3%
Other values (2) 80
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1314
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 200
15.2%
- 188
14.3%
186
14.2%
1 177
13.5%
0 168
12.8%
4 98
7.5%
9 72
 
5.5%
6 52
 
4.0%
8 49
 
3.7%
7 44
 
3.3%
Other values (2) 80
 
6.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-05-24
100 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-24
2nd row2023-05-24
3rd row2023-05-24
4th row2023-05-24
5th row2023-05-24

Common Values

ValueCountFrequency (%)
2023-05-24 100
100.0%

Length

2023-12-12T12:35:27.838530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:35:27.943398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-24 100
100.0%

담당자 연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
031-310-2484
100 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-310-2484
2nd row031-310-2484
3rd row031-310-2484
4th row031-310-2484
5th row031-310-2484

Common Values

ValueCountFrequency (%)
031-310-2484 100
100.0%

Length

2023-12-12T12:35:28.051242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:35:28.184684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-310-2484 100
100.0%

Correlations

2023-12-12T12:35:28.266357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명영업소 주소(도로명)영업소 주소(지번)소재지전화
업소명1.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.000
영업소 주소(지번)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000

Missing values

2023-12-12T12:35:23.458622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:35:23.622199image/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

업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일담당자 연락처
0숙박업(일반)르씨엘경기도 시흥시 호현로10번길 19 (신천동)경기도 시흥시 신천동 708-14031- 313-36662023-05-24031-310-2484
1숙박업(일반)꼬모도모텔경기도 시흥시 복지로 13-9 (신천동)경기도 시흥시 신천동 709-22031 -313 -24112023-05-24031-310-2484
2숙박업(일반)브라운홈모텔경기도 시흥시 도일로112번길 3 (거모동)경기도 시흥시 거모동 1657-1031- 494-82002023-05-24031-310-2484
3숙박업(일반)곰모텔경기도 시흥시 뱀내장터로 10-6 (신천동)경기도 시흥시 신천동 707-33031- 311-45882023-05-24031-310-2484
4숙박업(일반)GG모텔경기도 시흥시 호현로22번길 26 (신천동)경기도 시흥시 신천동 709-5031- 315-66612023-05-24031-310-2484
5숙박업(일반)베스트인호텔인사이드경기도 시흥시 평안상가4길 18 (정왕동)경기도 시흥시 정왕동 1626-6031 -499 -86662023-05-24031-310-2484
6숙박업(일반)플럼호텔경기도 시흥시 평안상가4길 8-6 (정왕동)경기도 시흥시 정왕동 1623-2031 -432 -62002023-05-24031-310-2484
7숙박업(일반)호텔플릇경기도 시흥시 함송로14번길 13-10 (정왕동)경기도 시흥시 정왕동 1885-6031- 433-40052023-05-24031-310-2484
8숙박업(일반)호텔알지(Hotel R.G)경기도 시흥시 월곶중앙로70번안길 36 (월곶동)경기도 시흥시 월곶동 1007-8031- 318-01212023-05-24031-310-2484
9숙박업(일반)유니크호텔28&율경기도 시흥시 월곶중앙로70번안길 28 (월곶동)경기도 시흥시 월곶동 1007-4031 -318 -31102023-05-24031-310-2484
업종명업소명영업소 주소(도로명)영업소 주소(지번)소재지전화데이터기준일담당자 연락처
90숙박업(일반)씨하이호텔경기도 시흥시 오이도로135번길 72 (정왕동)경기도 시흥시 정왕동 2031-5 오이도 서종 호텔031 -319 -00782023-05-24031-310-2484
91숙박업(일반)호텔엘리시움경기도 시흥시 중심상가1길 11-5, 1~5층 (정왕동)경기도 시흥시 정왕동 1741-3031 -319 -67802023-05-24031-310-2484
92숙박업(일반)호텔리브레경기도 시흥시 서촌상가3길 7-3 (정왕동)경기도 시흥시 정왕동 1729-7031 -506 -39112023-05-24031-310-2484
93숙박업(일반)호텔웨이브경기도 시흥시 거북섬둘레길 5-14, 7~8층 (정왕동)경기도 시흥시 정왕동 2707031 -432 -59772023-05-24031-310-2484
94숙박업(일반)호텔시엘로경기도 시흥시 거북섬둘레길 5-7, 7~10층 (정왕동)경기도 시흥시 정왕동 2706-11<NA>2023-05-24031-310-2484
95숙박업(일반)브라운도트거북섬점경기도 시흥시 거북섬1로 4, 에스프라자 6, 7층 (정왕동)경기도 시흥시 정왕동 2706031 -4989-99772023-05-24031-310-2484
96숙박업(일반)넘버25거북섬점경기도 시흥시 거북섬1길 19, 제일프라자Ⅰ 7층 701~735호 (정왕동)경기도 시흥시 정왕동 2706-4031 -431 -52012023-05-24031-310-2484
97숙박업(일반)하운드거북섬점경기도 시흥시 거북섬1길 19, 제일프라자Ⅰ 6층 601호~635호 (정왕동)경기도 시흥시 정왕동 2706-4031 -431 -31102023-05-24031-310-2484
98숙박업(일반)호텔지뜨경기도 시흥시 거북섬둘레길 1 (주)지뜨 8층 (정왕동)경기도 시흥시 정왕동 2706-12 (주)지뜨<NA>2023-05-24031-310-2484
99숙박업(일반)지뜨경기도 시흥시 거북섬둘레길 1 (주)지뜨 9층 (정왕동)경기도 시흥시 정왕동 2706-12 (주)지뜨<NA>2023-05-24031-310-2484