Overview

Dataset statistics

Number of variables7
Number of observations73
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory59.8 B

Variable types

Numeric2
Categorical1
DateTime1
Text3

Dataset

Description인천광역시 연수구 숙박업소(일반, 생활형)에 대한 현황으로써 숙박업소명, 신고일자, 주소, 전화번호, 객실수 현황의 항목을 제공합니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15053180&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 객실수 and 1 other fieldsHigh correlation
객실수 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
업종명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
소재지전화 has 4 (5.5%) missing valuesMissing
연번 has unique valuesUnique
신고일자 has unique valuesUnique
업소명 has unique valuesUnique
영업소 주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-16 22:25:03.463131
Analysis finished2024-04-16 22:25:04.152311
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37
Minimum1
Maximum73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-17T07:25:04.205791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.6
Q119
median37
Q355
95-th percentile69.4
Maximum73
Range72
Interquartile range (IQR)36

Descriptive statistics

Standard deviation21.217131
Coefficient of variation (CV)0.57343598
Kurtosis-1.2
Mean37
Median Absolute Deviation (MAD)18
Skewness0
Sum2701
Variance450.16667
MonotonicityStrictly increasing
2024-04-17T07:25:04.341916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
56 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (63) 63
86.3%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
73 1
1.4%
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size716.0 B
숙박업(일반)
64 
숙박업(생활)
9 

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) 64
87.7%
숙박업(생활) 9
 
12.3%

Length

2024-04-17T07:25:04.444472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T07:25:04.523815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숙박업(일반 64
87.7%
숙박업(생활 9
 
12.3%

신고일자
Date

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
Minimum1964-10-08 00:00:00
Maximum2022-12-07 00:00:00
2024-04-17T07:25:04.605299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:25:04.730015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-17T07:25:04.968185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length14
Mean length7.0136986
Min length2

Characters and Unicode

Total characters512
Distinct characters157
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

Unique73 ?
Unique (%)100.0%

Sample

1st row둥지모텔
2nd row삼미장여관
3rd row호텔뷰(VIEW)
4th row라마다송도호텔(주)
5th row여우비
ValueCountFrequency (%)
모텔 6
 
5.5%
인천송도점 5
 
4.5%
호텔 4
 
3.6%
스테이 3
 
2.7%
인천 2
 
1.8%
랜드마크 2
 
1.8%
송도 2
 
1.8%
더 2
 
1.8%
오투호텔 1
 
0.9%
홀리데이인 1
 
0.9%
Other values (82) 82
74.5%
2024-04-17T07:25:05.519662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
텔 53
 
10.4%
37
 
7.2%
호 35
 
6.8%
도 20
 
3.9%
모 19
 
3.7%
송 19
 
3.7%
이 18
 
3.5%
스 14
 
2.7%
인 13
 
2.5%
천 11
 
2.1%
Other values (147) 273
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 422
82.4%
Space Separator 37
 
7.2%
Uppercase Letter 22
 
4.3%
Decimal Number 9
 
1.8%
Open Punctuation 8
 
1.6%
Close Punctuation 8
 
1.6%
Lowercase Letter 6
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
텔 53
 
12.6%
호 35
 
8.3%
도 20
 
4.7%
모 19
 
4.5%
송 19
 
4.5%
이 18
 
4.3%
스 14
 
3.3%
인 13
 
3.1%
천 11
 
2.6%
테 8
 
1.9%
Other values (117) 212
50.2%
Uppercase Letter
ValueCountFrequency (%)
E 4
18.2%
H 3
13.6%
A 2
9.1%
U 2
9.1%
V 2
9.1%
N 1
 
4.5%
F 1
 
4.5%
L 1
 
4.5%
T 1
 
4.5%
Y 1
 
4.5%
Other values (4) 4
18.2%
Decimal Number
ValueCountFrequency (%)
2 2
22.2%
0 2
22.2%
9 1
11.1%
8 1
11.1%
4 1
11.1%
5 1
11.1%
3 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
t 1
16.7%
m 1
16.7%
a 1
16.7%
l 1
16.7%
e 1
16.7%
o 1
16.7%
Space Separator
ValueCountFrequency (%)
37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 422
82.4%
Common 62
 
12.1%
Latin 28
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
텔 53
 
12.6%
호 35
 
8.3%
도 20
 
4.7%
모 19
 
4.5%
송 19
 
4.5%
이 18
 
4.3%
스 14
 
3.3%
인 13
 
3.1%
천 11
 
2.6%
테 8
 
1.9%
Other values (117) 212
50.2%
Latin
ValueCountFrequency (%)
E 4
 
14.3%
H 3
 
10.7%
A 2
 
7.1%
U 2
 
7.1%
V 2
 
7.1%
N 1
 
3.6%
F 1
 
3.6%
L 1
 
3.6%
T 1
 
3.6%
t 1
 
3.6%
Other values (10) 10
35.7%
Common
ValueCountFrequency (%)
37
59.7%
( 8
 
12.9%
) 8
 
12.9%
2 2
 
3.2%
0 2
 
3.2%
9 1
 
1.6%
8 1
 
1.6%
4 1
 
1.6%
5 1
 
1.6%
3 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 422
82.4%
ASCII 90
 
17.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
텔 53
 
12.6%
호 35
 
8.3%
도 20
 
4.7%
모 19
 
4.5%
송 19
 
4.5%
이 18
 
4.3%
스 14
 
3.3%
인 13
 
3.1%
천 11
 
2.6%
테 8
 
1.9%
Other values (117) 212
50.2%
ASCII
ValueCountFrequency (%)
37
41.1%
( 8
 
8.9%
) 8
 
8.9%
E 4
 
4.4%
H 3
 
3.3%
2 2
 
2.2%
A 2
 
2.2%
U 2
 
2.2%
0 2
 
2.2%
V 2
 
2.2%
Other values (20) 20
22.2%

영업소 주소(도로명)
Text

UNIQUE 

Distinct73
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size716.0 B
2024-04-17T07:25:05.689130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length50
Mean length33.739726
Min length21

Characters and Unicode

Total characters2463
Distinct characters87
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)100.0%

Sample

1st row인천광역시 연수구 능허대로 175 (옥련동)
2nd row인천광역시 연수구 능허대로167번길 6 (옥련동)
3rd row인천광역시 연수구 대암로 8 (옥련동)
4th row인천광역시 연수구 능허대로267번길 29 (동춘동)
5th row인천광역시 연수구 능허대로191번길 11 (옥련동)
ValueCountFrequency (%)
인천광역시 73
16.7%
연수구 73
16.7%
옥련동 50
 
11.4%
송도동 15
 
3.4%
대암로 10
 
2.3%
능허대로 9
 
2.1%
능허대로179번길 8
 
1.8%
아트센터대로168번길 8
 
1.8%
능허대로191번길 7
 
1.6%
인권로 5
 
1.1%
Other values (114) 180
41.1%
2024-04-17T07:25:05.982497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
365
 
14.8%
1 146
 
5.9%
인 84
 
3.4%
시 80
 
3.2%
동 80
 
3.2%
수 76
 
3.1%
, 76
 
3.1%
연 76
 
3.1%
천 74
 
3.0%
역 73
 
3.0%
Other values (77) 1333
54.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1353
54.9%
Decimal Number 460
 
18.7%
Space Separator 365
 
14.8%
Other Punctuation 76
 
3.1%
Close Punctuation 73
 
3.0%
Open Punctuation 73
 
3.0%
Math Symbol 33
 
1.3%
Dash Punctuation 24
 
1.0%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 84
 
6.2%
시 80
 
5.9%
동 80
 
5.9%
수 76
 
5.6%
연 76
 
5.6%
천 74
 
5.5%
역 73
 
5.4%
구 73
 
5.4%
로 73
 
5.4%
광 73
 
5.4%
Other values (58) 591
43.7%
Decimal Number
ValueCountFrequency (%)
1 146
31.7%
2 46
 
10.0%
9 38
 
8.3%
3 38
 
8.3%
5 36
 
7.8%
7 35
 
7.6%
4 35
 
7.6%
6 32
 
7.0%
8 28
 
6.1%
0 26
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
50.0%
C 2
33.3%
B 1
 
16.7%
Space Separator
ValueCountFrequency (%)
365
100.0%
Other Punctuation
ValueCountFrequency (%)
, 76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Math Symbol
ValueCountFrequency (%)
~ 33
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1353
54.9%
Common 1104
44.8%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 84
 
6.2%
시 80
 
5.9%
동 80
 
5.9%
수 76
 
5.6%
연 76
 
5.6%
천 74
 
5.5%
역 73
 
5.4%
구 73
 
5.4%
로 73
 
5.4%
광 73
 
5.4%
Other values (58) 591
43.7%
Common
ValueCountFrequency (%)
365
33.1%
1 146
 
13.2%
, 76
 
6.9%
) 73
 
6.6%
( 73
 
6.6%
2 46
 
4.2%
9 38
 
3.4%
3 38
 
3.4%
5 36
 
3.3%
7 35
 
3.2%
Other values (6) 178
16.1%
Latin
ValueCountFrequency (%)
A 3
50.0%
C 2
33.3%
B 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1353
54.9%
ASCII 1110
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
365
32.9%
1 146
 
13.2%
, 76
 
6.8%
) 73
 
6.6%
( 73
 
6.6%
2 46
 
4.1%
9 38
 
3.4%
3 38
 
3.4%
5 36
 
3.2%
7 35
 
3.2%
Other values (9) 184
16.6%
Hangul
ValueCountFrequency (%)
인 84
 
6.2%
시 80
 
5.9%
동 80
 
5.9%
수 76
 
5.6%
연 76
 
5.6%
천 74
 
5.5%
역 73
 
5.4%
구 73
 
5.4%
로 73
 
5.4%
광 73
 
5.4%
Other values (58) 591
43.7%

소재지전화
Text

MISSING 

Distinct69
Distinct (%)100.0%
Missing4
Missing (%)5.5%
Memory size716.0 B
2024-04-17T07:25:06.173318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13.971014
Min length12

Characters and Unicode

Total characters964
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

Unique69 ?
Unique (%)100.0%

Sample

1st row 032- 833-6222
2nd row 032- 832-1525
3rd row032 -832 -1500
4th row 032- 832-1311
5th row032 -832 -9700
ValueCountFrequency (%)
032 64
40.5%
834 3
 
1.9%
832 2
 
1.3%
0000 2
 
1.3%
833 2
 
1.3%
7502 1
 
0.6%
1771 1
 
0.6%
2222 1
 
0.6%
813 1
 
0.6%
832-3258 1
 
0.6%
Other values (80) 80
50.6%
2024-04-17T07:25:06.483273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 152
15.8%
- 138
14.3%
130
13.5%
0 127
13.2%
2 124
12.9%
8 80
8.3%
1 56
 
5.8%
4 41
 
4.3%
5 38
 
3.9%
7 34
 
3.5%
Other values (2) 44
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 696
72.2%
Dash Punctuation 138
 
14.3%
Space Separator 130
 
13.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 152
21.8%
0 127
18.2%
2 124
17.8%
8 80
11.5%
1 56
 
8.0%
4 41
 
5.9%
5 38
 
5.5%
7 34
 
4.9%
6 24
 
3.4%
9 20
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Space Separator
ValueCountFrequency (%)
130
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 152
15.8%
- 138
14.3%
130
13.5%
0 127
13.2%
2 124
12.9%
8 80
8.3%
1 56
 
5.8%
4 41
 
4.3%
5 38
 
3.9%
7 34
 
3.5%
Other values (2) 44
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 152
15.8%
- 138
14.3%
130
13.5%
0 127
13.2%
2 124
12.9%
8 80
8.3%
1 56
 
5.8%
4 41
 
4.3%
5 38
 
3.9%
7 34
 
3.5%
Other values (2) 44
 
4.6%

객실수
Real number (ℝ)

HIGH CORRELATION 

Distinct43
Distinct (%)58.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.506849
Minimum5
Maximum423
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size789.0 B
2024-04-17T07:25:06.598850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile14
Q126
median38
Q355
95-th percentile264.6
Maximum423
Range418
Interquartile range (IQR)29

Descriptive statistics

Standard deviation81.947328
Coefficient of variation (CV)1.2321637
Kurtosis6.4382166
Mean66.506849
Median Absolute Deviation (MAD)14
Skewness2.5621855
Sum4855
Variance6715.3645
MonotonicityNot monotonic
2024-04-17T07:25:06.729798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
30 6
 
8.2%
40 5
 
6.8%
46 4
 
5.5%
36 3
 
4.1%
19 3
 
4.1%
48 3
 
4.1%
24 3
 
4.1%
18 2
 
2.7%
21 2
 
2.7%
78 2
 
2.7%
Other values (33) 40
54.8%
ValueCountFrequency (%)
5 1
 
1.4%
12 2
2.7%
14 2
2.7%
15 1
 
1.4%
18 2
2.7%
19 3
4.1%
21 2
2.7%
23 2
2.7%
24 3
4.1%
26 1
 
1.4%
ValueCountFrequency (%)
423 1
1.4%
321 1
1.4%
300 2
2.7%
241 1
1.4%
210 1
1.4%
204 1
1.4%
202 1
1.4%
145 1
1.4%
142 1
1.4%
141 1
1.4%

Interactions

2024-04-17T07:25:03.887051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:25:03.758600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:25:03.950879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-17T07:25:03.825095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-17T07:25:06.820399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명신고일자업소명영업소 주소(도로명)소재지전화객실수
연번1.0000.9951.0001.0001.0001.0000.513
업종명0.9951.0001.0001.0001.0001.0000.597
신고일자1.0001.0001.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.0001.0001.000
영업소 주소(도로명)1.0001.0001.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.0001.0001.000
객실수0.5130.5971.0001.0001.0001.0001.000
2024-04-17T07:25:06.913487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번객실수업종명
연번1.0000.5490.882
객실수0.5491.0000.619
업종명0.8820.6191.000

Missing values

2024-04-17T07:25:04.028614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T07:25:04.117462image/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

연번업종명신고일자업소명영업소 주소(도로명)소재지전화객실수
01숙박업(일반)1964-10-08둥지모텔인천광역시 연수구 능허대로 175 (옥련동)032- 833-622218
12숙박업(일반)1984-08-23삼미장여관인천광역시 연수구 능허대로167번길 6 (옥련동)032- 832-152514
23숙박업(일반)1985-06-22호텔뷰(VIEW)인천광역시 연수구 대암로 8 (옥련동)032 -832 -150028
34숙박업(일반)1985-10-14라마다송도호텔(주)인천광역시 연수구 능허대로267번길 29 (동춘동)032- 832-1311204
45숙박업(일반)1986-07-19여우비인천광역시 연수구 능허대로191번길 11 (옥련동)032 -832 -970018
56숙박업(일반)1986-01-29필드모텔인천광역시 연수구 대암로 4 (옥련동)032-0832-123912
67숙박업(일반)1987-08-03가빈인천광역시 연수구 인권로 17 (옥련동)032- 832-356130
78숙박업(일반)1988-11-04호텔메이인천광역시 연수구 인권로9번길 10 (옥련동)032 -834 -550536
89숙박업(일반)1989-12-26큐(Q)모텔인천광역시 연수구 대암로8번길 14 (옥련동)032- 831-948814
910숙박업(일반)1990-08-06노리터모텔인천광역시 연수구 인권로 15 (옥련동)032 -858 -866415
연번업종명신고일자업소명영업소 주소(도로명)소재지전화객실수
6364숙박업(일반)2020-07-31송도센트럴파크호텔인천광역시 연수구 테크노파크로 193, 송도센트럴파크호텔 (송도동)<NA>300
6465숙박업(생활)2014-07-01오크우드 프리미어 인천인천광역시 연수구 컨벤시아대로 165 (송도동, 동북아트레이드타워, 36층~64층)032 -726 -2000423
6566숙박업(생활)2021-03-25셀럽스테이송도인천광역시 연수구 아트센터대로168번길 100, 한라 웨스턴파크 송도 5~37층 (송도동)032 -713 -8540145
6667숙박업(생활)2021-05-21더 스테이 송도인천광역시 연수구 아트센터대로168번길 100, 한라 웨스턴파크 송도 5~10,12,14,15,17~19,21~24,27~29,31~33,37층 (송도동)032 -8005-712835
6768숙박업(생활)2021-06-23랜드마크 송도 스테이인천광역시 연수구 아트센터대로168번길 101, 송도랜드마크푸르지오시티 (송도동)032- 213-2113141
6869숙박업(생활)2021-07-06달빛스테이인천광역시 연수구 아트센터대로168번길 100, 한라 웨스턴파크 송도 A-C동 5,7-15,17-21, 23-30, 32-37층 일부 (송도동)032- 833-165078
6970숙박업(생활)2021-07-09더노벰버스테이인천광역시 연수구 아트센터대로168번길 101, 송도랜드마크푸르지오시티 A-B동 4-14, 16-36층 (송도동)032 -817 -1988210
7071숙박업(생활)2021-08-10랜드마크 송도스테이 투인천광역시 연수구 아트센터대로168번길 101, 송도랜드마크푸르지오시티 1,4~14,16~20,22~29,31~34,36층 (송도동)032 -213 -015686
7172숙박업(생활)2021-08-24어반스테이 인천송도점인천광역시 연수구 아트센터대로168번길 101, 송도랜드마크푸르지오시티 1,4~14,16~35층 (송도동)032 -1644-7694142
7273숙박업(생활)2022-12-07UH FLAT 더 송도(유에이치플랫더송도)인천광역시 연수구 아트센터대로168번길 100, 한라 웨스턴파크 송도 A-C동 7-8, 11-15, 17, 19, 21-23, 25, 31-37층 (송도동)070-9430-54831