Overview

Dataset statistics

Number of variables8
Number of observations80
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory65.7 B

Variable types

Categorical2
Text3
DateTime3

Dataset

Description인천광역시_계양구_제과점영업 현황입니다. 업종명, 업태명, 업소명, 소재지, 인허가일자 등을 포함한 데이터파일입니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15040170&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
데이터기준일 has constant value ""Constant
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-13 06:05:12.181997
Analysis finished2024-03-13 06:05:13.101956
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
제과점영업
80 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제과점영업
2nd row제과점영업
3rd row제과점영업
4th row제과점영업
5th row제과점영업

Common Values

ValueCountFrequency (%)
제과점영업 80
100.0%

Length

2024-03-13T15:05:13.155391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:05:13.257394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 80
100.0%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
제과점영업
80 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제과점영업
2nd row제과점영업
3rd row제과점영업
4th row제과점영업
5th row제과점영업

Common Values

ValueCountFrequency (%)
제과점영업 80
100.0%

Length

2024-03-13T15:05:13.362559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T15:05:13.453589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 80
100.0%

업소명
Text

Distinct74
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-03-13T15:05:13.676206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11.5
Mean length7.7
Min length3

Characters and Unicode

Total characters616
Distinct characters175
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)88.8%

Sample

1st row정화고려제과
2nd row셈뉴욕제과
3rd row파리바게뜨(인천계산)
4th row빵뜨락
5th row파리바게뜨 인천작전점
ValueCountFrequency (%)
파리바게뜨 12
 
11.8%
몽블랑제 4
 
3.9%
작전점 3
 
2.9%
계산점 2
 
2.0%
파리바게트 2
 
2.0%
빵뜨락 2
 
2.0%
노틀담베이커리 1
 
1.0%
오늘&샌드 1
 
1.0%
크리믈 1
 
1.0%
팔레트디저트 1
 
1.0%
Other values (73) 73
71.6%
2024-03-13T15:05:14.062320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 39
 
6.3%
점 36
 
5.8%
파 24
 
3.9%
바 23
 
3.7%
게 23
 
3.7%
뜨 22
 
3.6%
22
 
3.6%
계 17
 
2.8%
이 15
 
2.4%
양 11
 
1.8%
Other values (165) 384
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
89.0%
Space Separator 22
 
3.6%
Close Punctuation 11
 
1.8%
Open Punctuation 11
 
1.8%
Lowercase Letter 10
 
1.6%
Uppercase Letter 6
 
1.0%
Decimal Number 6
 
1.0%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 39
 
7.1%
점 36
 
6.6%
파 24
 
4.4%
바 23
 
4.2%
게 23
 
4.2%
뜨 22
 
4.0%
계 17
 
3.1%
이 15
 
2.7%
양 11
 
2.0%
베 11
 
2.0%
Other values (143) 327
59.7%
Lowercase Letter
ValueCountFrequency (%)
t 1
10.0%
s 1
10.0%
y 1
10.0%
a 1
10.0%
d 1
10.0%
o 1
10.0%
n 1
10.0%
l 1
10.0%
r 1
10.0%
e 1
10.0%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
0 1
16.7%
4 1
16.7%
9 1
16.7%
1 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
83.3%
T 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
88.5%
Common 52
 
8.4%
Latin 16
 
2.6%
Han 3
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 39
 
7.2%
점 36
 
6.6%
파 24
 
4.4%
바 23
 
4.2%
게 23
 
4.2%
뜨 22
 
4.0%
계 17
 
3.1%
이 15
 
2.8%
양 11
 
2.0%
베 11
 
2.0%
Other values (140) 324
59.4%
Latin
ValueCountFrequency (%)
B 5
31.2%
t 1
 
6.2%
s 1
 
6.2%
T 1
 
6.2%
y 1
 
6.2%
a 1
 
6.2%
d 1
 
6.2%
o 1
 
6.2%
n 1
 
6.2%
l 1
 
6.2%
Other values (2) 2
 
12.5%
Common
ValueCountFrequency (%)
22
42.3%
) 11
21.2%
( 11
21.2%
2 2
 
3.8%
, 1
 
1.9%
0 1
 
1.9%
4 1
 
1.9%
9 1
 
1.9%
1 1
 
1.9%
& 1
 
1.9%
Han
ValueCountFrequency (%)
當 1
33.3%
瓦 1
33.3%
味 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
88.5%
ASCII 68
 
11.0%
CJK 3
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 39
 
7.2%
점 36
 
6.6%
파 24
 
4.4%
바 23
 
4.2%
게 23
 
4.2%
뜨 22
 
4.0%
계 17
 
3.1%
이 15
 
2.8%
양 11
 
2.0%
베 11
 
2.0%
Other values (140) 324
59.4%
ASCII
ValueCountFrequency (%)
22
32.4%
) 11
16.2%
( 11
16.2%
B 5
 
7.4%
2 2
 
2.9%
, 1
 
1.5%
t 1
 
1.5%
s 1
 
1.5%
0 1
 
1.5%
4 1
 
1.5%
Other values (12) 12
17.6%
CJK
ValueCountFrequency (%)
當 1
33.3%
瓦 1
33.3%
味 1
33.3%

소재지(도로명)
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-03-13T15:05:14.351602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length42
Mean length35.25
Min length22

Characters and Unicode

Total characters2820
Distinct characters138
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

Unique80 ?
Unique (%)100.0%

Sample

1st row인천광역시 계양구 효서로 269 (작전동)
2nd row인천광역시 계양구 효서로 243, 1층 일부호 (작전동)
3rd row인천광역시 계양구 주부토로 541 (계산동,(주부토길 631) 외 1필지 111호,112호)
4th row인천광역시 계양구 황어로115번길 12, 1층 101호 (오류동, 신동아아파트상가)
5th row인천광역시 계양구 효서로 233-1, 1층 (작전동)
ValueCountFrequency (%)
인천광역시 80
 
14.4%
계양구 80
 
14.4%
1층 36
 
6.5%
작전동 18
 
3.2%
계산동 15
 
2.7%
일부호 13
 
2.3%
장제로 9
 
1.6%
2층 8
 
1.4%
효서로 8
 
1.4%
상가동 7
 
1.3%
Other values (200) 282
50.7%
2024-03-13T15:05:14.804527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
476
 
16.9%
1 167
 
5.9%
계 125
 
4.4%
양 103
 
3.7%
동 102
 
3.6%
, 96
 
3.4%
) 85
 
3.0%
( 85
 
3.0%
역 84
 
3.0%
인 81
 
2.9%
Other values (128) 1416
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1613
57.2%
Space Separator 476
 
16.9%
Decimal Number 454
 
16.1%
Other Punctuation 98
 
3.5%
Close Punctuation 85
 
3.0%
Open Punctuation 85
 
3.0%
Dash Punctuation 8
 
0.3%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 125
 
7.7%
양 103
 
6.4%
동 102
 
6.3%
역 84
 
5.2%
인 81
 
5.0%
시 81
 
5.0%
천 81
 
5.0%
로 80
 
5.0%
구 80
 
5.0%
광 80
 
5.0%
Other values (111) 716
44.4%
Decimal Number
ValueCountFrequency (%)
1 167
36.8%
2 58
 
12.8%
0 51
 
11.2%
3 33
 
7.3%
4 31
 
6.8%
5 31
 
6.8%
7 29
 
6.4%
6 20
 
4.4%
8 18
 
4.0%
9 16
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 96
98.0%
. 2
 
2.0%
Space Separator
ValueCountFrequency (%)
476
100.0%
Close Punctuation
ValueCountFrequency (%)
) 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1613
57.2%
Common 1206
42.8%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 125
 
7.7%
양 103
 
6.4%
동 102
 
6.3%
역 84
 
5.2%
인 81
 
5.0%
시 81
 
5.0%
천 81
 
5.0%
로 80
 
5.0%
구 80
 
5.0%
광 80
 
5.0%
Other values (111) 716
44.4%
Common
ValueCountFrequency (%)
476
39.5%
1 167
 
13.8%
, 96
 
8.0%
) 85
 
7.0%
( 85
 
7.0%
2 58
 
4.8%
0 51
 
4.2%
3 33
 
2.7%
4 31
 
2.6%
5 31
 
2.6%
Other values (6) 93
 
7.7%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1613
57.2%
ASCII 1207
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
476
39.4%
1 167
 
13.8%
, 96
 
8.0%
) 85
 
7.0%
( 85
 
7.0%
2 58
 
4.8%
0 51
 
4.2%
3 33
 
2.7%
4 31
 
2.6%
5 31
 
2.6%
Other values (7) 94
 
7.8%
Hangul
ValueCountFrequency (%)
계 125
 
7.7%
양 103
 
6.4%
동 102
 
6.3%
역 84
 
5.2%
인 81
 
5.0%
시 81
 
5.0%
천 81
 
5.0%
로 80
 
5.0%
구 80
 
5.0%
광 80
 
5.0%
Other values (111) 716
44.4%

소재지(지번)
Text

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-03-13T15:05:15.096024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length34
Mean length25.7875
Min length18

Characters and Unicode

Total characters2063
Distinct characters124
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)95.0%

Sample

1st row인천광역시 계양구 작전동 869-24
2nd row인천광역시 계양구 작전동 866-12
3rd row인천광역시 계양구 계산동 947 (주부토길 631) 외 1필지 111호,112호
4th row인천광역시 계양구 오류동 180
5th row인천광역시 계양구 작전동 865-37
ValueCountFrequency (%)
인천광역시 80
19.0%
계양구 80
19.0%
계산동 24
 
5.7%
작전동 23
 
5.5%
1층 14
 
3.3%
효성동 7
 
1.7%
용종동 4
 
1.0%
병방동 4
 
1.0%
101호 4
 
1.0%
귤현동 4
 
1.0%
Other values (146) 177
42.0%
2024-03-13T15:05:15.518102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
19.6%
1 120
 
5.8%
계 110
 
5.3%
동 88
 
4.3%
양 87
 
4.2%
역 84
 
4.1%
인 81
 
3.9%
광 80
 
3.9%
시 80
 
3.9%
구 80
 
3.9%
Other values (114) 848
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1155
56.0%
Decimal Number 425
 
20.6%
Space Separator 405
 
19.6%
Dash Punctuation 62
 
3.0%
Other Punctuation 6
 
0.3%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 110
 
9.5%
동 88
 
7.6%
양 87
 
7.5%
역 84
 
7.3%
인 81
 
7.0%
광 80
 
6.9%
시 80
 
6.9%
구 80
 
6.9%
천 80
 
6.9%
산 29
 
2.5%
Other values (98) 356
30.8%
Decimal Number
ValueCountFrequency (%)
1 120
28.2%
0 48
 
11.3%
4 46
 
10.8%
2 42
 
9.9%
8 34
 
8.0%
9 31
 
7.3%
3 31
 
7.3%
5 28
 
6.6%
6 26
 
6.1%
7 19
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%
Space Separator
ValueCountFrequency (%)
405
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1155
56.0%
Common 908
44.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 110
 
9.5%
동 88
 
7.6%
양 87
 
7.5%
역 84
 
7.3%
인 81
 
7.0%
광 80
 
6.9%
시 80
 
6.9%
구 80
 
6.9%
천 80
 
6.9%
산 29
 
2.5%
Other values (98) 356
30.8%
Common
ValueCountFrequency (%)
405
44.6%
1 120
 
13.2%
- 62
 
6.8%
0 48
 
5.3%
4 46
 
5.1%
2 42
 
4.6%
8 34
 
3.7%
9 31
 
3.4%
3 31
 
3.4%
5 28
 
3.1%
Other values (6) 61
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1155
56.0%
ASCII 908
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
44.6%
1 120
 
13.2%
- 62
 
6.8%
0 48
 
5.3%
4 46
 
5.1%
2 42
 
4.6%
8 34
 
3.7%
9 31
 
3.4%
3 31
 
3.4%
5 28
 
3.1%
Other values (6) 61
 
6.7%
Hangul
ValueCountFrequency (%)
계 110
 
9.5%
동 88
 
7.6%
양 87
 
7.5%
역 84
 
7.3%
인 81
 
7.0%
광 80
 
6.9%
시 80
 
6.9%
구 80
 
6.9%
천 80
 
6.9%
산 29
 
2.5%
Other values (98) 356
30.8%

영업자시작일
Date

Distinct73
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1984-12-10 00:00:00
Maximum2024-02-22 00:00:00
2024-03-13T15:05:15.658665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:05:15.787563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

인허가일자
Date

Distinct78
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum1984-12-10 00:00:00
Maximum2024-01-31 00:00:00
2024-03-13T15:05:15.960982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:05:16.111065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size772.0 B
Minimum2024-03-07 00:00:00
Maximum2024-03-07 00:00:00
2024-03-13T15:05:16.211269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T15:05:16.294655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-13T15:05:16.366337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)영업자시작일인허가일자
업소명1.0001.0000.9910.9280.984
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)0.9911.0001.0000.9830.995
영업자시작일0.9281.0000.9831.0001.000
인허가일자0.9841.0000.9951.0001.000

Missing values

2024-03-13T15:05:12.936426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T15:05:13.055264image/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

업종명업태명업소명소재지(도로명)소재지(지번)영업자시작일인허가일자데이터기준일
0제과점영업제과점영업정화고려제과인천광역시 계양구 효서로 269 (작전동)인천광역시 계양구 작전동 869-241984-12-101984-12-102024-03-07
1제과점영업제과점영업셈뉴욕제과인천광역시 계양구 효서로 243, 1층 일부호 (작전동)인천광역시 계양구 작전동 866-121985-07-231985-07-232024-03-07
2제과점영업제과점영업파리바게뜨(인천계산)인천광역시 계양구 주부토로 541 (계산동,(주부토길 631) 외 1필지 111호,112호)인천광역시 계양구 계산동 947 (주부토길 631) 외 1필지 111호,112호2018-07-111994-11-262024-03-07
3제과점영업제과점영업빵뜨락인천광역시 계양구 황어로115번길 12, 1층 101호 (오류동, 신동아아파트상가)인천광역시 계양구 오류동 1802003-01-291997-08-142024-03-07
4제과점영업제과점영업파리바게뜨 인천작전점인천광역시 계양구 효서로 233-1, 1층 (작전동)인천광역시 계양구 작전동 865-372020-11-032001-06-182024-03-07
5제과점영업제과점영업몽블랑제 작전점인천광역시 계양구 계양대로 27 (작전동, 홈플러스 작전점 1층일부)인천광역시 계양구 작전동 448-7 홈플러스 작전점 1층일부2024-02-222001-08-172024-03-07
6제과점영업제과점영업마법의성인천광역시 계양구 아나지로85번길 15 (효성동,1층)인천광역시 계양구 효성동 553-4 1층2002-04-012002-04-012024-03-07
7제과점영업제과점영업몽뻬르과자점인천광역시 계양구 경명대로 1141 (계산동,외 1필지)인천광역시 계양구 계산동 917-15 외 1필지2002-04-062002-04-062024-03-07
8제과점영업제과점영업신세계푸드베이커리계양점인천광역시 계양구 봉오대로 785, 지하2층 (작전동, 이마트 계양점 )인천광역시 계양구 작전동 911-12021-04-202002-04-302024-03-07
9제과점영업제과점영업빵굼터인천광역시 계양구 장제로 877 (임학동)인천광역시 계양구 임학동 10-112003-08-222003-08-222024-03-07
업종명업태명업소명소재지(도로명)소재지(지번)영업자시작일인허가일자데이터기준일
70제과점영업제과점영업달달940st인천광역시 계양구 장제로 940, 1층 일부호 (병방동)인천광역시 계양구 병방동 109-12022-06-222022-06-222024-03-07
71제과점영업제과점영업빵집곰선생님인천광역시 계양구 계양문화로 145, 용종마을중앙아파트 상가동 1층 106호 (용종동)인천광역시 계양구 용종동 214-2 용종마을중앙아파트2022-12-192022-12-192024-03-07
72제과점영업제과점영업토모루과자점인천광역시 계양구 효서로 385, 현대2차아파트 상가동 2층 10,11,12호 (작전동)인천광역시 계양구 작전동 580 현대2차아파트 상가동2024-02-142023-04-242024-03-07
73제과점영업제과점영업토모루과자점(1)인천광역시 계양구 효서로 385, 현대2차아파트 상가동 1층 6,7,8, 2층23호 (작전동)인천광역시 계양구 작전동 580 현대2차아파트2024-02-142023-04-242024-03-07
74제과점영업제과점영업베리베리케이크인천광역시 계양구 장제로 876, 학마을서해.영남아파트 상가동 2층 212호 (병방동)인천광역시 계양구 병방동 432-5 학마을서해.영남아파트2023-04-282023-04-282024-03-07
75제과점영업제과점영업에비스베이커리인천광역시 계양구 새벌로 112, 마스터즈 1층 116호 (효성동)인천광역시 계양구 효성동 198-1 마스터즈2023-05-152023-05-152024-03-07
76제과점영업제과점영업십시일반제과인천광역시 계양구 서운로 43-25, 1층 일부호 (서운동)인천광역시 계양구 서운동 27-82023-05-232023-05-232024-03-07
77제과점영업제과점영업십시일반인천광역시 계양구 오조산로 55, 평안교회 1층 일부호 (계산동)인천광역시 계양구 계산동 1080-1 평안교회2023-05-232023-05-232024-03-07
78제과점영업제과점영업도도록2호점인천광역시 계양구 살라리로 1, 2층 일부호 (서운동)인천광역시 계양구 서운동 179-32023-12-072023-12-072024-03-07
79제과점영업제과점영업뚜레쥬르인천귤현점인천광역시 계양구 양지로 139, 세계빌딩 1층 일부호 (귤현동)인천광역시 계양구 귤현동 501-7 세계빌딩2024-01-312024-01-312024-03-07