Overview

Dataset statistics

Number of variables5
Number of observations137
Missing cells75
Missing cells (%)10.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory41.0 B

Variable types

Categorical1
Text4

Dataset

Description인천광역시 남동구 제과점현황에 대한 데이터로 업종명, 업소명, 소재지(도로명), 소재지(지번), 소재지전화 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3043971&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
소재지전화 has 75 (54.7%) missing valuesMissing
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:08:34.349392
Analysis finished2024-03-18 02:08:34.755625
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
제과점영업
137 

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 137
100.0%

Length

2024-03-18T11:08:34.809279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:08:34.898315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 137
100.0%

업소명
Text

Distinct129
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T11:08:35.090199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.3941606
Min length2

Characters and Unicode

Total characters1150
Distinct characters253
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

Unique124 ?
Unique (%)90.5%

Sample

1st row케익이벤트
2nd row파리바게뜨
3rd row뚜레쥬르(인천시청점)
4th row빵굽는동네
5th row퐁듀베이커리
ValueCountFrequency (%)
파리바게트 6
 
3.7%
파리바게뜨 6
 
3.7%
토모루 4
 
2.4%
몽블랑제인천논현점 3
 
1.8%
구월점 3
 
1.8%
장훈베이커리 2
 
1.2%
파티쉐 2
 
1.2%
bakery 2
 
1.2%
간석벽산점 2
 
1.2%
디디지알(ddgr)스튜디오 1
 
0.6%
Other values (133) 133
81.1%
2024-03-18T11:08:35.442304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 63
 
5.5%
리 57
 
5.0%
파 43
 
3.7%
바 39
 
3.4%
게 36
 
3.1%
이 34
 
3.0%
27
 
2.3%
) 25
 
2.2%
( 25
 
2.2%
뜨 23
 
2.0%
Other values (243) 778
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 983
85.5%
Lowercase Letter 66
 
5.7%
Space Separator 27
 
2.3%
Close Punctuation 25
 
2.2%
Open Punctuation 25
 
2.2%
Uppercase Letter 17
 
1.5%
Decimal Number 7
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 63
 
6.4%
리 57
 
5.8%
파 43
 
4.4%
바 39
 
4.0%
게 36
 
3.7%
이 34
 
3.5%
뜨 23
 
2.3%
레 22
 
2.2%
트 20
 
2.0%
인 17
 
1.7%
Other values (203) 629
64.0%
Lowercase Letter
ValueCountFrequency (%)
e 14
21.2%
o 6
 
9.1%
a 5
 
7.6%
r 5
 
7.6%
y 4
 
6.1%
b 4
 
6.1%
f 3
 
4.5%
c 3
 
4.5%
s 3
 
4.5%
k 3
 
4.5%
Other values (10) 16
24.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
17.6%
E 2
11.8%
D 2
11.8%
C 2
11.8%
G 1
 
5.9%
R 1
 
5.9%
K 1
 
5.9%
A 1
 
5.9%
T 1
 
5.9%
Y 1
 
5.9%
Other values (2) 2
11.8%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
4 1
 
14.3%
8 1
 
14.3%
9 1
 
14.3%
3 1
 
14.3%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 983
85.5%
Common 84
 
7.3%
Latin 83
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 63
 
6.4%
리 57
 
5.8%
파 43
 
4.4%
바 39
 
4.0%
게 36
 
3.7%
이 34
 
3.5%
뜨 23
 
2.3%
레 22
 
2.2%
트 20
 
2.0%
인 17
 
1.7%
Other values (203) 629
64.0%
Latin
ValueCountFrequency (%)
e 14
16.9%
o 6
 
7.2%
a 5
 
6.0%
r 5
 
6.0%
y 4
 
4.8%
b 4
 
4.8%
f 3
 
3.6%
c 3
 
3.6%
s 3
 
3.6%
k 3
 
3.6%
Other values (22) 33
39.8%
Common
ValueCountFrequency (%)
27
32.1%
) 25
29.8%
( 25
29.8%
1 3
 
3.6%
4 1
 
1.2%
8 1
 
1.2%
9 1
 
1.2%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 983
85.5%
ASCII 167
 
14.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 63
 
6.4%
리 57
 
5.8%
파 43
 
4.4%
바 39
 
4.0%
게 36
 
3.7%
이 34
 
3.5%
뜨 23
 
2.3%
레 22
 
2.2%
트 20
 
2.0%
인 17
 
1.7%
Other values (203) 629
64.0%
ASCII
ValueCountFrequency (%)
27
16.2%
) 25
15.0%
( 25
15.0%
e 14
 
8.4%
o 6
 
3.6%
a 5
 
3.0%
r 5
 
3.0%
y 4
 
2.4%
b 4
 
2.4%
f 3
 
1.8%
Other values (30) 49
29.3%

소재지(도로명)
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T11:08:35.662180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length49
Mean length38.072993
Min length22

Characters and Unicode

Total characters5216
Distinct characters207
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

Unique137 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 소래로669번길 41 (만수동)
2nd row인천광역시 남동구 구월로 79 (간석동,1층일부)
3rd row인천광역시 남동구 구월로 81 (간석동, 1층)
4th row인천광역시 남동구 경인로 744 (간석동)
5th row인천광역시 남동구 경인로644번길 119, 태양빌딩 1층 1,2,3,4호 (간석동)
ValueCountFrequency (%)
인천광역시 137
 
13.8%
남동구 137
 
13.8%
1층 85
 
8.5%
구월동 39
 
3.9%
일부호 31
 
3.1%
논현동 20
 
2.0%
만수동 20
 
2.0%
간석동 19
 
1.9%
서창동 12
 
1.2%
103호 7
 
0.7%
Other values (336) 488
49.0%
2024-03-18T11:08:36.092150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
858
 
16.4%
1 300
 
5.8%
동 295
 
5.7%
구 204
 
3.9%
, 190
 
3.6%
남 174
 
3.3%
) 155
 
3.0%
( 155
 
3.0%
인 152
 
2.9%
로 148
 
2.8%
Other values (197) 2585
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2919
56.0%
Decimal Number 897
 
17.2%
Space Separator 858
 
16.4%
Other Punctuation 192
 
3.7%
Close Punctuation 155
 
3.0%
Open Punctuation 155
 
3.0%
Dash Punctuation 20
 
0.4%
Uppercase Letter 14
 
0.3%
Math Symbol 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 295
 
10.1%
구 204
 
7.0%
남 174
 
6.0%
인 152
 
5.2%
로 148
 
5.1%
천 146
 
5.0%
시 142
 
4.9%
역 141
 
4.8%
광 139
 
4.8%
호 126
 
4.3%
Other values (170) 1252
42.9%
Decimal Number
ValueCountFrequency (%)
1 300
33.4%
2 110
 
12.3%
0 108
 
12.0%
3 74
 
8.2%
5 67
 
7.5%
4 59
 
6.6%
7 49
 
5.5%
6 48
 
5.4%
8 45
 
5.0%
9 37
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 3
21.4%
N 2
14.3%
A 2
14.3%
L 2
14.3%
H 2
14.3%
C 1
 
7.1%
Y 1
 
7.1%
X 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 190
99.0%
. 2
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 155
100.0%
Open Punctuation
ValueCountFrequency (%)
( 155
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2919
56.0%
Common 2280
43.7%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 295
 
10.1%
구 204
 
7.0%
남 174
 
6.0%
인 152
 
5.2%
로 148
 
5.1%
천 146
 
5.0%
시 142
 
4.9%
역 141
 
4.8%
광 139
 
4.8%
호 126
 
4.3%
Other values (170) 1252
42.9%
Common
ValueCountFrequency (%)
858
37.6%
1 300
 
13.2%
, 190
 
8.3%
) 155
 
6.8%
( 155
 
6.8%
2 110
 
4.8%
0 108
 
4.7%
3 74
 
3.2%
5 67
 
2.9%
4 59
 
2.6%
Other values (7) 204
 
8.9%
Latin
ValueCountFrequency (%)
B 3
17.6%
o 2
11.8%
N 2
11.8%
A 2
11.8%
L 2
11.8%
H 2
11.8%
C 1
 
5.9%
Y 1
 
5.9%
X 1
 
5.9%
a 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2919
56.0%
ASCII 2297
44.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
858
37.4%
1 300
 
13.1%
, 190
 
8.3%
) 155
 
6.7%
( 155
 
6.7%
2 110
 
4.8%
0 108
 
4.7%
3 74
 
3.2%
5 67
 
2.9%
4 59
 
2.6%
Other values (17) 221
 
9.6%
Hangul
ValueCountFrequency (%)
동 295
 
10.1%
구 204
 
7.0%
남 174
 
6.0%
인 152
 
5.2%
로 148
 
5.1%
천 146
 
5.0%
시 142
 
4.9%
역 141
 
4.8%
광 139
 
4.8%
호 126
 
4.3%
Other values (170) 1252
42.9%

소재지(지번)
Text

UNIQUE 

Distinct137
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-18T11:08:36.322051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length42
Mean length32.007299
Min length18

Characters and Unicode

Total characters4385
Distinct characters198
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

Unique137 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 만수동 983
2nd row인천광역시 남동구 간석동 749-8 1층일부
3rd row인천광역시 남동구 간석동 749-9 1층
4th row인천광역시 남동구 간석동 772-5
5th row인천광역시 남동구 간석동 51-13 태양빌딩 1층 1,2,3,4호
ValueCountFrequency (%)
인천광역시 137
 
16.3%
남동구 137
 
16.3%
구월동 42
 
5.0%
1층 40
 
4.8%
만수동 28
 
3.3%
1층일부 26
 
3.1%
간석동 25
 
3.0%
논현동 22
 
2.6%
서창동 13
 
1.5%
일부 10
 
1.2%
Other values (299) 361
42.9%
2024-03-18T11:08:36.836789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
827
18.9%
1 342
 
7.8%
동 285
 
6.5%
구 182
 
4.2%
남 143
 
3.3%
시 142
 
3.2%
인 141
 
3.2%
역 140
 
3.2%
천 140
 
3.2%
광 138
 
3.1%
Other values (188) 1905
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2344
53.5%
Decimal Number 990
22.6%
Space Separator 827
 
18.9%
Dash Punctuation 102
 
2.3%
Other Punctuation 48
 
1.1%
Close Punctuation 29
 
0.7%
Open Punctuation 29
 
0.7%
Uppercase Letter 12
 
0.3%
Lowercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 285
 
12.2%
구 182
 
7.8%
남 143
 
6.1%
시 142
 
6.1%
인 141
 
6.0%
역 140
 
6.0%
천 140
 
6.0%
광 138
 
5.9%
층 98
 
4.2%
호 91
 
3.9%
Other values (161) 844
36.0%
Decimal Number
ValueCountFrequency (%)
1 342
34.5%
0 126
 
12.7%
2 101
 
10.2%
3 76
 
7.7%
4 73
 
7.4%
6 65
 
6.6%
7 63
 
6.4%
5 56
 
5.7%
9 50
 
5.1%
8 38
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
N 2
16.7%
L 2
16.7%
H 2
16.7%
B 2
16.7%
C 1
8.3%
Y 1
8.3%
X 1
8.3%
A 1
8.3%
Other Punctuation
ValueCountFrequency (%)
, 46
95.8%
. 2
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
a 1
33.3%
Space Separator
ValueCountFrequency (%)
827
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2344
53.5%
Common 2026
46.2%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 285
 
12.2%
구 182
 
7.8%
남 143
 
6.1%
시 142
 
6.1%
인 141
 
6.0%
역 140
 
6.0%
천 140
 
6.0%
광 138
 
5.9%
층 98
 
4.2%
호 91
 
3.9%
Other values (161) 844
36.0%
Common
ValueCountFrequency (%)
827
40.8%
1 342
16.9%
0 126
 
6.2%
- 102
 
5.0%
2 101
 
5.0%
3 76
 
3.8%
4 73
 
3.6%
6 65
 
3.2%
7 63
 
3.1%
5 56
 
2.8%
Other values (7) 195
 
9.6%
Latin
ValueCountFrequency (%)
N 2
13.3%
o 2
13.3%
L 2
13.3%
H 2
13.3%
B 2
13.3%
a 1
6.7%
C 1
6.7%
Y 1
6.7%
X 1
6.7%
A 1
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2344
53.5%
ASCII 2041
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
827
40.5%
1 342
16.8%
0 126
 
6.2%
- 102
 
5.0%
2 101
 
4.9%
3 76
 
3.7%
4 73
 
3.6%
6 65
 
3.2%
7 63
 
3.1%
5 56
 
2.7%
Other values (17) 210
 
10.3%
Hangul
ValueCountFrequency (%)
동 285
 
12.2%
구 182
 
7.8%
남 143
 
6.1%
시 142
 
6.1%
인 141
 
6.0%
역 140
 
6.0%
천 140
 
6.0%
광 138
 
5.9%
층 98
 
4.2%
호 91
 
3.9%
Other values (161) 844
36.0%

소재지전화
Text

MISSING 

Distinct60
Distinct (%)96.8%
Missing75
Missing (%)54.7%
Memory size1.2 KiB
2024-03-18T11:08:37.032372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.080645
Min length12

Characters and Unicode

Total characters749
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

Unique58 ?
Unique (%)93.5%

Sample

1st row032-428-3272
2nd row032-428-7765
3rd row032-437-4589
4th row032-527-9560
5th row032-434-4644
ValueCountFrequency (%)
032-461-4100 2
 
3.2%
070-5099-3758 2
 
3.2%
032-463-8544 1
 
1.6%
032-467-8204 1
 
1.6%
032-461-3668 1
 
1.6%
032-466-0637 1
 
1.6%
032-465-8909 1
 
1.6%
032-466-6060 1
 
1.6%
032-428-3272 1
 
1.6%
032-469-3971 1
 
1.6%
Other values (50) 50
80.6%
2024-03-18T11:08:37.365538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 124
16.6%
0 116
15.5%
2 108
14.4%
3 92
12.3%
4 90
12.0%
6 48
 
6.4%
8 45
 
6.0%
7 41
 
5.5%
5 30
 
4.0%
9 30
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 625
83.4%
Dash Punctuation 124
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 116
18.6%
2 108
17.3%
3 92
14.7%
4 90
14.4%
6 48
7.7%
8 45
 
7.2%
7 41
 
6.6%
5 30
 
4.8%
9 30
 
4.8%
1 25
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 749
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 124
16.6%
0 116
15.5%
2 108
14.4%
3 92
12.3%
4 90
12.0%
6 48
 
6.4%
8 45
 
6.0%
7 41
 
5.5%
5 30
 
4.0%
9 30
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 749
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 124
16.6%
0 116
15.5%
2 108
14.4%
3 92
12.3%
4 90
12.0%
6 48
 
6.4%
8 45
 
6.0%
7 41
 
5.5%
5 30
 
4.0%
9 30
 
4.0%

Missing values

2024-03-18T11:08:34.652303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:08:34.725387image/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
0제과점영업케익이벤트인천광역시 남동구 소래로669번길 41 (만수동)인천광역시 남동구 만수동 983032-428-3272
1제과점영업파리바게뜨인천광역시 남동구 구월로 79 (간석동,1층일부)인천광역시 남동구 간석동 749-8 1층일부032-428-7765
2제과점영업뚜레쥬르(인천시청점)인천광역시 남동구 구월로 81 (간석동, 1층)인천광역시 남동구 간석동 749-9 1층032-437-4589
3제과점영업빵굽는동네인천광역시 남동구 경인로 744 (간석동)인천광역시 남동구 간석동 772-5032-527-9560
4제과점영업퐁듀베이커리인천광역시 남동구 경인로644번길 119, 태양빌딩 1층 1,2,3,4호 (간석동)인천광역시 남동구 간석동 51-13 태양빌딩 1층 1,2,3,4호032-434-4644
5제과점영업문두영베이커리인천광역시 남동구 문화로89번길 29 (구월동)인천광역시 남동구 구월동 1370-9032-431-4912
6제과점영업파리바게뜨(간석역점)인천광역시 남동구 석정로 515 (간석동,제일코아 102,103)인천광역시 남동구 간석동 894-4 제일코아 102,103032-438-8442
7제과점영업까레몽(만수점)인천광역시 남동구 구월로 308, 1층 (만수동)인천광역시 남동구 만수동 910-4 (구월로 308) 1층일부032-467-5984
8제과점영업마리앙뜨 과자점인천광역시 남동구 백범로124번길 7 (만수동,만수4동 주공아파트 나동상가 103호)인천광역시 남동구 만수동 40 만수4동 주공아파트 나동상가 103호032-462-6331
9제과점영업파리바게뜨(남촌점)인천광역시 남동구 호구포로535번길 48-2, 1층 일부호 (남촌동)인천광역시 남동구 남촌동 309 1층일부032-471-8208
업종명업소명소재지(도로명)소재지(지번)소재지전화
127제과점영업비비드케이크인천광역시 남동구 남동대로702번길 14-1, 1층 일부호 (구월동)인천광역시 남동구 구월동 1181-9 1층 일부<NA>
128제과점영업파리바게뜨구월아시아드인천광역시 남동구 인하로 607, 모아프라자 1층 102호 (구월동)인천광역시 남동구 구월동 1512-2 모아프라자 1층 102호<NA>
129제과점영업선숙베이커리인천광역시 남동구 경인로653번길 21, 1층 105호 (간석동, 아크로팰리스)인천광역시 남동구 간석동 217-2 아크로팰리스,1층 105호<NA>
130제과점영업카페파인인천광역시 남동구 예술로282번길 4, 1층 (간석동)인천광역시 남동구 간석동 470-1 1층전부<NA>
131제과점영업바이트베어(Bite Bear)인천광역시 남동구 논고개로123번길 35, 칼리오페 3층 A310호일부호 (논현동)인천광역시 남동구 논현동 632-1 칼리오페,3층 A310호<NA>
132제과점영업파리바게뜨 서창1단지점인천광역시 남동구 서창남순환로 124-12, 서창LH1단지상가 1층 104호 일부,105호 (서창동)인천광역시 남동구 서창동 636 서창LH1단지상가 1층 104호 일부, 105호<NA>
133제과점영업쏘이크인천광역시 남동구 문화로133번길 8-19, 지타워 1동 1층 일부호 (구월동)인천광역시 남동구 구월동 1110-2 지타워 1동 1층 일부(102호)<NA>
134제과점영업명인빵지순례1984 구월점인천광역시 남동구 호구포로 796, 1층 일부호 (구월동)인천광역시 남동구 구월동 1265-27 1층 10호 일부<NA>
135제과점영업레햄인천광역시 남동구 담방로21번길 55, 뉴서울아파트상가 1층 15호 (만수동)인천광역시 남동구 만수동 1044 뉴서울아파트상가 1층 15호<NA>
136제과점영업헤이그 크림도넛인천광역시 남동구 구월로 129, 대성빌딩 3층 302호(일부)호 (간석동)인천광역시 남동구 간석동 413-3 대성빌딩 3층302호(일부)호<NA>