Overview

Dataset statistics

Number of variables5
Number of observations118
Missing cells64
Missing cells (%)10.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory41.1 B

Variable types

Categorical1
Text4

Dataset

Description인천광역시 남동구 제과점현황에 대한 데이터로 업종명, 업소명, 소재지(도로명), 소재지(지번), 소재지전화 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/3043971/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 64 (54.2%) missing valuesMissing
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-23 06:53:19.598752
Analysis finished2023-12-23 06:53:21.808656
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
제과점영업
118 

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 118
100.0%

Length

2023-12-23T06:53:22.093775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-23T06:53:22.566878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 118
100.0%

업소명
Text

Distinct112
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T06:53:23.105276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.8135593
Min length2

Characters and Unicode

Total characters1040
Distinct characters236
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

Unique108 ?
Unique (%)91.5%

Sample

1st row그해,구월베이커리
2nd row까레몽(만수점)
3rd row까레몽베이커리
4th row꼼오케이크
5th row대빵
ValueCountFrequency (%)
파리바게뜨 7
 
4.8%
파리바게트 5
 
3.4%
몽블랑제인천논현점 3
 
2.1%
토모루 3
 
2.1%
구월점 3
 
2.1%
간석벽산점 2
 
1.4%
bakery 2
 
1.4%
장훈베이커리 2
 
1.4%
크림도넛 1
 
0.7%
논현역점 1
 
0.7%
Other values (116) 116
80.0%
2023-12-23T06:53:24.444985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 57
 
5.5%
리 49
 
4.7%
파 39
 
3.8%
바 37
 
3.6%
게 34
 
3.3%
이 32
 
3.1%
27
 
2.6%
( 23
 
2.2%
) 23
 
2.2%
뜨 23
 
2.2%
Other values (226) 696
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 867
83.4%
Lowercase Letter 62
 
6.0%
Uppercase Letter 28
 
2.7%
Space Separator 27
 
2.6%
Open Punctuation 23
 
2.2%
Close Punctuation 23
 
2.2%
Decimal Number 7
 
0.7%
Other Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 57
 
6.6%
리 49
 
5.7%
파 39
 
4.5%
바 37
 
4.3%
게 34
 
3.9%
이 32
 
3.7%
뜨 23
 
2.7%
레 20
 
2.3%
인 17
 
2.0%
트 16
 
1.8%
Other values (180) 543
62.6%
Lowercase Letter
ValueCountFrequency (%)
e 15
24.2%
r 6
 
9.7%
o 5
 
8.1%
y 5
 
8.1%
a 4
 
6.5%
t 4
 
6.5%
u 3
 
4.8%
f 3
 
4.8%
c 3
 
4.8%
b 2
 
3.2%
Other values (9) 12
19.4%
Uppercase Letter
ValueCountFrequency (%)
B 4
14.3%
C 3
10.7%
K 3
10.7%
E 3
10.7%
D 2
 
7.1%
H 2
 
7.1%
P 1
 
3.6%
O 1
 
3.6%
S 1
 
3.6%
U 1
 
3.6%
Other values (7) 7
25.0%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 1
 
14.3%
4 1
 
14.3%
8 1
 
14.3%
9 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 867
83.4%
Latin 90
 
8.7%
Common 83
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 57
 
6.6%
리 49
 
5.7%
파 39
 
4.5%
바 37
 
4.3%
게 34
 
3.9%
이 32
 
3.7%
뜨 23
 
2.7%
레 20
 
2.3%
인 17
 
2.0%
트 16
 
1.8%
Other values (180) 543
62.6%
Latin
ValueCountFrequency (%)
e 15
 
16.7%
r 6
 
6.7%
o 5
 
5.6%
y 5
 
5.6%
a 4
 
4.4%
B 4
 
4.4%
t 4
 
4.4%
C 3
 
3.3%
K 3
 
3.3%
u 3
 
3.3%
Other values (26) 38
42.2%
Common
ValueCountFrequency (%)
27
32.5%
( 23
27.7%
) 23
27.7%
1 3
 
3.6%
, 2
 
2.4%
. 1
 
1.2%
3 1
 
1.2%
4 1
 
1.2%
8 1
 
1.2%
9 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 867
83.4%
ASCII 173
 
16.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 57
 
6.6%
리 49
 
5.7%
파 39
 
4.5%
바 37
 
4.3%
게 34
 
3.9%
이 32
 
3.7%
뜨 23
 
2.7%
레 20
 
2.3%
인 17
 
2.0%
트 16
 
1.8%
Other values (180) 543
62.6%
ASCII
ValueCountFrequency (%)
27
15.6%
( 23
13.3%
) 23
13.3%
e 15
 
8.7%
r 6
 
3.5%
o 5
 
2.9%
y 5
 
2.9%
a 4
 
2.3%
B 4
 
2.3%
t 4
 
2.3%
Other values (36) 57
32.9%

소재지(도로명)
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T06:53:25.453976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length50
Mean length38.347458
Min length22

Characters and Unicode

Total characters4525
Distinct characters199
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 구월남로 174, 그랜드프라자 1층 103호 (구월동)
2nd row인천광역시 남동구 구월로 308, 1층 (만수동)
3rd row인천광역시 남동구 예술로 지하 172, 지하1층 No.2, No.3호 (구월동, 예술회관역 임대시설물)
4th row인천광역시 남동구 문화서로49번길 19, 1층 일부호 (구월동)
5th row인천광역시 남동구 석산로 120-1, 1층 일부호 (간석동)
ValueCountFrequency (%)
인천광역시 118
 
13.6%
남동구 118
 
13.6%
1층 77
 
8.9%
구월동 33
 
3.8%
일부호 30
 
3.5%
논현동 20
 
2.3%
간석동 18
 
2.1%
만수동 14
 
1.6%
서창동 10
 
1.2%
논고개로 7
 
0.8%
Other values (303) 420
48.6%
2023-12-23T06:53:27.049579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
747
 
16.5%
1 265
 
5.9%
동 255
 
5.6%
구 174
 
3.8%
, 169
 
3.7%
남 149
 
3.3%
( 135
 
3.0%
) 135
 
3.0%
인 130
 
2.9%
로 129
 
2.9%
Other values (189) 2237
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2520
55.7%
Decimal Number 780
 
17.2%
Space Separator 747
 
16.5%
Other Punctuation 171
 
3.8%
Open Punctuation 135
 
3.0%
Close Punctuation 135
 
3.0%
Dash Punctuation 21
 
0.5%
Uppercase Letter 10
 
0.2%
Math Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 255
 
10.1%
구 174
 
6.9%
남 149
 
5.9%
인 130
 
5.2%
로 129
 
5.1%
천 125
 
5.0%
시 121
 
4.8%
역 121
 
4.8%
광 120
 
4.8%
호 114
 
4.5%
Other values (165) 1082
42.9%
Decimal Number
ValueCountFrequency (%)
1 265
34.0%
0 99
 
12.7%
2 94
 
12.1%
3 64
 
8.2%
5 57
 
7.3%
4 50
 
6.4%
8 43
 
5.5%
6 38
 
4.9%
7 37
 
4.7%
9 33
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
20.0%
B 2
20.0%
H 2
20.0%
L 2
20.0%
N 2
20.0%
Other Punctuation
ValueCountFrequency (%)
, 169
98.8%
. 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
747
100.0%
Open Punctuation
ValueCountFrequency (%)
( 135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 135
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2520
55.7%
Common 1992
44.0%
Latin 13
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 255
 
10.1%
구 174
 
6.9%
남 149
 
5.9%
인 130
 
5.2%
로 129
 
5.1%
천 125
 
5.0%
시 121
 
4.8%
역 121
 
4.8%
광 120
 
4.8%
호 114
 
4.5%
Other values (165) 1082
42.9%
Common
ValueCountFrequency (%)
747
37.5%
1 265
 
13.3%
, 169
 
8.5%
( 135
 
6.8%
) 135
 
6.8%
0 99
 
5.0%
2 94
 
4.7%
3 64
 
3.2%
5 57
 
2.9%
4 50
 
2.5%
Other values (7) 177
 
8.9%
Latin
ValueCountFrequency (%)
A 2
15.4%
B 2
15.4%
H 2
15.4%
L 2
15.4%
o 2
15.4%
N 2
15.4%
a 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2520
55.7%
ASCII 2005
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
747
37.3%
1 265
 
13.2%
, 169
 
8.4%
( 135
 
6.7%
) 135
 
6.7%
0 99
 
4.9%
2 94
 
4.7%
3 64
 
3.2%
5 57
 
2.8%
4 50
 
2.5%
Other values (14) 190
 
9.5%
Hangul
ValueCountFrequency (%)
동 255
 
10.1%
구 174
 
6.9%
남 149
 
5.9%
인 130
 
5.2%
로 129
 
5.1%
천 125
 
5.0%
시 121
 
4.8%
역 121
 
4.8%
광 120
 
4.8%
호 114
 
4.5%
Other values (165) 1082
42.9%

소재지(지번)
Text

UNIQUE 

Distinct118
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-23T06:53:28.047803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length44
Mean length32.669492
Min length19

Characters and Unicode

Total characters3855
Distinct characters191
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique118 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 구월동 1199-1 그랜드프라자 1층 103호
2nd row인천광역시 남동구 만수동 910-4 (구월로 308) 1층일부
3rd row인천광역시 남동구 구월동 1408 예술회관역 지하1층 임대시설물 No.2, No3
4th row인천광역시 남동구 구월동 1344-3 1층 일부
5th row인천광역시 남동구 간석동 342-2 ,1층일부호
ValueCountFrequency (%)
인천광역시 118
 
15.9%
남동구 118
 
15.9%
1층 41
 
5.5%
구월동 34
 
4.6%
간석동 24
 
3.2%
논현동 22
 
3.0%
1층일부 20
 
2.7%
만수동 20
 
2.7%
서창동 11
 
1.5%
일부 9
 
1.2%
Other values (272) 325
43.8%
2023-12-23T06:53:29.643416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
729
18.9%
1 306
 
7.9%
동 245
 
6.4%
구 155
 
4.0%
남 124
 
3.2%
천 121
 
3.1%
인 121
 
3.1%
시 121
 
3.1%
역 120
 
3.1%
광 119
 
3.1%
Other values (181) 1694
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2051
53.2%
Decimal Number 872
22.6%
Space Separator 729
 
18.9%
Dash Punctuation 94
 
2.4%
Other Punctuation 41
 
1.1%
Open Punctuation 28
 
0.7%
Close Punctuation 28
 
0.7%
Uppercase Letter 8
 
0.2%
Lowercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 245
 
11.9%
구 155
 
7.6%
남 124
 
6.0%
천 121
 
5.9%
인 121
 
5.9%
시 121
 
5.9%
역 120
 
5.9%
광 119
 
5.8%
층 89
 
4.3%
호 86
 
4.2%
Other values (157) 750
36.6%
Decimal Number
ValueCountFrequency (%)
1 306
35.1%
0 111
 
12.7%
2 92
 
10.6%
3 66
 
7.6%
4 64
 
7.3%
6 57
 
6.5%
5 51
 
5.8%
7 49
 
5.6%
9 43
 
4.9%
8 33
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
N 2
25.0%
L 2
25.0%
H 2
25.0%
B 1
12.5%
A 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 39
95.1%
. 2
 
4.9%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
729
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2051
53.2%
Common 1793
46.5%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 245
 
11.9%
구 155
 
7.6%
남 124
 
6.0%
천 121
 
5.9%
인 121
 
5.9%
시 121
 
5.9%
역 120
 
5.9%
광 119
 
5.8%
층 89
 
4.3%
호 86
 
4.2%
Other values (157) 750
36.6%
Common
ValueCountFrequency (%)
729
40.7%
1 306
17.1%
0 111
 
6.2%
- 94
 
5.2%
2 92
 
5.1%
3 66
 
3.7%
4 64
 
3.6%
6 57
 
3.2%
5 51
 
2.8%
7 49
 
2.7%
Other values (7) 174
 
9.7%
Latin
ValueCountFrequency (%)
N 2
18.2%
o 2
18.2%
L 2
18.2%
H 2
18.2%
B 1
9.1%
A 1
9.1%
a 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2051
53.2%
ASCII 1804
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
729
40.4%
1 306
17.0%
0 111
 
6.2%
- 94
 
5.2%
2 92
 
5.1%
3 66
 
3.7%
4 64
 
3.5%
6 57
 
3.2%
5 51
 
2.8%
7 49
 
2.7%
Other values (14) 185
 
10.3%
Hangul
ValueCountFrequency (%)
동 245
 
11.9%
구 155
 
7.6%
남 124
 
6.0%
천 121
 
5.9%
인 121
 
5.9%
시 121
 
5.9%
역 120
 
5.9%
광 119
 
5.8%
층 89
 
4.3%
호 86
 
4.2%
Other values (157) 750
36.6%

소재지전화
Text

MISSING 

Distinct53
Distinct (%)98.1%
Missing64
Missing (%)54.2%
Memory size1.1 KiB
2023-12-23T06:53:30.339837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.092593
Min length12

Characters and Unicode

Total characters653
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

Unique52 ?
Unique (%)96.3%

Sample

1st row032-467-5984
2nd row032-427-2887
3rd row070-7804-4985
4th row070-5099-3758
5th row032-527-3927
ValueCountFrequency (%)
070-5099-3758 2
 
3.7%
032-442-8288 1
 
1.9%
032-467-8204 1
 
1.9%
032-434-9904 1
 
1.9%
032-422-0015 1
 
1.9%
032-438-8442 1
 
1.9%
032-471-8208 1
 
1.9%
032-421-8221 1
 
1.9%
032-472-8208 1
 
1.9%
032-433-8190 1
 
1.9%
Other values (43) 43
79.6%
2023-12-23T06:53:31.483747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 108
16.5%
0 102
15.6%
2 93
14.2%
3 80
12.3%
4 78
11.9%
8 45
6.9%
6 40
 
6.1%
7 33
 
5.1%
9 26
 
4.0%
5 25
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 545
83.5%
Dash Punctuation 108
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
18.7%
2 93
17.1%
3 80
14.7%
4 78
14.3%
8 45
8.3%
6 40
 
7.3%
7 33
 
6.1%
9 26
 
4.8%
5 25
 
4.6%
1 23
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 653
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 108
16.5%
0 102
15.6%
2 93
14.2%
3 80
12.3%
4 78
11.9%
8 45
6.9%
6 40
 
6.1%
7 33
 
5.1%
9 26
 
4.0%
5 25
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 653
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 108
16.5%
0 102
15.6%
2 93
14.2%
3 80
12.3%
4 78
11.9%
8 45
6.9%
6 40
 
6.1%
7 33
 
5.1%
9 26
 
4.0%
5 25
 
3.8%

Missing values

2023-12-23T06:53:20.929587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-23T06:53:21.621807image/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

업종명업소명소재지(도로명)소재지(지번)소재지전화
0제과점영업그해,구월베이커리인천광역시 남동구 구월남로 174, 그랜드프라자 1층 103호 (구월동)인천광역시 남동구 구월동 1199-1 그랜드프라자 1층 103호<NA>
1제과점영업까레몽(만수점)인천광역시 남동구 구월로 308, 1층 (만수동)인천광역시 남동구 만수동 910-4 (구월로 308) 1층일부032-467-5984
2제과점영업까레몽베이커리인천광역시 남동구 예술로 지하 172, 지하1층 No.2, No.3호 (구월동, 예술회관역 임대시설물)인천광역시 남동구 구월동 1408 예술회관역 지하1층 임대시설물 No.2, No3032-427-2887
3제과점영업꼼오케이크인천광역시 남동구 문화서로49번길 19, 1층 일부호 (구월동)인천광역시 남동구 구월동 1344-3 1층 일부<NA>
4제과점영업대빵인천광역시 남동구 석산로 120-1, 1층 일부호 (간석동)인천광역시 남동구 간석동 342-2 ,1층일부호070-7804-4985
5제과점영업데니쉬마블인천광역시 남동구 서창남로 16-41, 휴먼프라자 1층 일부호 (서창동)인천광역시 남동구 서창동 720-1 휴먼프라자 1층 일부 (102호, 103호)<NA>
6제과점영업도레도레 이토타워점인천광역시 남동구 예술로 138, 이토타워 1층 104호 일부호, 112호 (구월동)인천광역시 남동구 구월동 1456 이토타워 1층 104호 일부호, 112호070-5099-3758
7제과점영업디디지알(DDGR)스튜디오인천광역시 남동구 인하로507번길 80, 2층 204호 일부호 (구월동)인천광역시 남동구 구월동 1451-3 2층 204호 일부<NA>
8제과점영업또과자작업실인천광역시 남동구 하촌서로 8-1, 1층 (만수동)인천광역시 남동구 만수동 978-20 1층일부(도면상오른쪽칸)<NA>
9제과점영업뚜레쥬르 간석벽산점인천광역시 남동구 호구포로 898, 3,4호 (간석동)인천광역시 남동구 간석동 919 3,4호032-527-3927
업종명업소명소재지(도로명)소재지(지번)소재지전화
108제과점영업퐁듀크라상인천광역시 남동구 장승남로 35, 102호, 601호 (만수동, 대영프라자)인천광역시 남동구 만수동 1019 외 1필지 대영프라자 102호, 601호032-464-0004
109제과점영업플로시에 케이크인천광역시 남동구 성말로 47, 1층 일부호 (구월동)인천광역시 남동구 구월동 1164-16 1층 일부(도면상네번째칸)<NA>
110제과점영업피노키오과자점인천광역시 남동구 인주대로888번길 13, 신현대상가 1층 101호, 107호 (만수동)인천광역시 남동구 만수동 1083 신현대상가 1층 101호, 107호032-864-1118
111제과점영업한끼식빵인천광역시 남동구 운연천로 7, LH희망상가 1층 105호 (서창동)인천광역시 남동구 서창동 744 LH희망상가 1층 105호<NA>
112제과점영업해피데이과자점인천광역시 남동구 만수로50번길 53 (만수동,(만수주공안길 2) 가동상가 104호일부,110호)인천광역시 남동구 만수동 18 (만수주공안길 2) 가동상가 104호일부,110호<NA>
113제과점영업헤이그 크림도넛인천광역시 남동구 구월로 129, 대성빌딩 3층 302호(일부)호 (간석동)인천광역시 남동구 간석동 413-3 대성빌딩 3층302호(일부)호<NA>
114제과점영업헤이버터씨(Hey,Butter.C)인천광역시 남동구 문화서로3번길 22-1, 1층 일부호 (구월동)인천광역시 남동구 구월동 1389-14 1층 일부호<NA>
115제과점영업홈스베이커리인천광역시 남동구 호구포로810번길 44, 1층 일부호 (구월동, 2호건물)인천광역시 남동구 구월동 1261 외1필지 2호건물 1층일부(오른쪽 두번째칸)032-466-0637
116제과점영업화니케이크인천광역시 남동구 용천로17번길 5, 1층 101호 (구월동, 델루나)인천광역시 남동구 구월동 1217-9 델루나 1층 101호<NA>
117제과점영업황태자베이커리인천광역시 남동구 서창남로 81, 투엠프라자 1층 107호 (서창동)인천광역시 남동구 서창동 686-2 투엠프라자 1층 107호<NA>