Overview

Dataset statistics

Number of variables6
Number of observations270
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory48.5 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description부천시관내의 제과점 정보로 제과점 업소명, 소재지(지번,도로명), 소재지전화번호, 영엽시작일자 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15047812/fileData.do

Alerts

업종명 has constant value ""Constant

Reproduction

Analysis started2023-12-12 19:47:11.455488
Analysis finished2023-12-12 19:47:12.131810
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
제과점영업
270 

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 270
100.0%

Length

2023-12-13T04:47:12.196015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:47:12.309869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제과점영업 270
100.0%

업소명
Text

Distinct261
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T04:47:12.550771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length8.6074074
Min length2

Characters and Unicode

Total characters2324
Distinct characters355
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique255 ?
Unique (%)94.4%

Sample

1st row프랑세즈과자점
2nd row만나제과
3rd row부천과자점
4th row뚜레쥬르
5th row디셈버 과자점
ValueCountFrequency (%)
파리바게뜨 16
 
4.7%
몽블랑제 9
 
2.6%
뚜레쥬르 6
 
1.8%
파리바게트 4
 
1.2%
bakery 3
 
0.9%
메종블랑제 2
 
0.6%
부천점 2
 
0.6%
중동점 2
 
0.6%
주)현대그린푸드 2
 
0.6%
부천상동점 2
 
0.6%
Other values (288) 293
85.9%
2023-12-13T04:47:12.965949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 100
 
4.3%
리 97
 
4.2%
71
 
3.1%
바 55
 
2.4%
이 54
 
2.3%
파 52
 
2.2%
) 50
 
2.2%
부 50
 
2.2%
( 50
 
2.2%
게 48
 
2.1%
Other values (345) 1697
73.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1867
80.3%
Lowercase Letter 156
 
6.7%
Uppercase Letter 105
 
4.5%
Space Separator 71
 
3.1%
Close Punctuation 50
 
2.2%
Open Punctuation 50
 
2.2%
Decimal Number 18
 
0.8%
Other Punctuation 5
 
0.2%
Modifier Symbol 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 100
 
5.4%
리 97
 
5.2%
바 55
 
2.9%
이 54
 
2.9%
파 52
 
2.8%
부 50
 
2.7%
게 48
 
2.6%
천 43
 
2.3%
뜨 41
 
2.2%
빵 40
 
2.1%
Other values (287) 1287
68.9%
Uppercase Letter
ValueCountFrequency (%)
B 14
13.3%
E 12
11.4%
A 9
 
8.6%
R 8
 
7.6%
D 8
 
7.6%
O 7
 
6.7%
I 6
 
5.7%
K 5
 
4.8%
U 5
 
4.8%
P 4
 
3.8%
Other values (13) 27
25.7%
Lowercase Letter
ValueCountFrequency (%)
a 26
16.7%
e 20
12.8%
r 16
10.3%
d 11
 
7.1%
n 11
 
7.1%
y 9
 
5.8%
i 8
 
5.1%
u 7
 
4.5%
t 7
 
4.5%
o 7
 
4.5%
Other values (10) 34
21.8%
Decimal Number
ValueCountFrequency (%)
2 6
33.3%
1 5
27.8%
3 3
16.7%
0 1
 
5.6%
4 1
 
5.6%
8 1
 
5.6%
9 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
& 3
60.0%
. 1
 
20.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 50
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1867
80.3%
Latin 261
 
11.2%
Common 196
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 100
 
5.4%
리 97
 
5.2%
바 55
 
2.9%
이 54
 
2.9%
파 52
 
2.8%
부 50
 
2.7%
게 48
 
2.6%
천 43
 
2.3%
뜨 41
 
2.2%
빵 40
 
2.1%
Other values (287) 1287
68.9%
Latin
ValueCountFrequency (%)
a 26
 
10.0%
e 20
 
7.7%
r 16
 
6.1%
B 14
 
5.4%
E 12
 
4.6%
d 11
 
4.2%
n 11
 
4.2%
y 9
 
3.4%
A 9
 
3.4%
R 8
 
3.1%
Other values (33) 125
47.9%
Common
ValueCountFrequency (%)
71
36.2%
) 50
25.5%
( 50
25.5%
2 6
 
3.1%
1 5
 
2.6%
& 3
 
1.5%
3 3
 
1.5%
0 1
 
0.5%
4 1
 
0.5%
8 1
 
0.5%
Other values (5) 5
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1867
80.3%
ASCII 455
 
19.6%
None 1
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 100
 
5.4%
리 97
 
5.2%
바 55
 
2.9%
이 54
 
2.9%
파 52
 
2.8%
부 50
 
2.7%
게 48
 
2.6%
천 43
 
2.3%
뜨 41
 
2.2%
빵 40
 
2.1%
Other values (287) 1287
68.9%
ASCII
ValueCountFrequency (%)
71
15.6%
) 50
 
11.0%
( 50
 
11.0%
a 26
 
5.7%
e 20
 
4.4%
r 16
 
3.5%
B 14
 
3.1%
E 12
 
2.6%
d 11
 
2.4%
n 11
 
2.4%
Other values (46) 174
38.2%
None
ValueCountFrequency (%)
ß 1
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

소재지(도로명)
Text

Distinct265
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T04:47:13.269901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length43
Mean length34.040741
Min length19

Characters and Unicode

Total characters9191
Distinct characters258
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

Unique262 ?
Unique (%)97.0%

Sample

1st row경기도 부천시 경인로 216-1 (심곡본동)
2nd row경기도 부천시 경인옛로118번길 27 (괴안동)
3rd row경기도 부천시 성주로 267, 1층 일부호 (심곡본동)
4th row경기도 부천시 성주로 70 (송내동)
5th row경기도 부천시 은성로 88, 지하1-1층 (소사본동)
ValueCountFrequency (%)
부천시 271
 
14.4%
경기도 270
 
14.3%
1층 92
 
4.9%
중동 66
 
3.5%
상동 32
 
1.7%
일부 29
 
1.5%
길주로 28
 
1.5%
일부호 25
 
1.3%
경인로 15
 
0.8%
1층일부 15
 
0.8%
Other values (574) 1044
55.3%
2023-12-13T04:47:13.777118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1617
 
17.6%
1 535
 
5.8%
부 412
 
4.5%
동 355
 
3.9%
, 340
 
3.7%
천 309
 
3.4%
경 294
 
3.2%
도 286
 
3.1%
( 282
 
3.1%
) 282
 
3.1%
Other values (248) 4479
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4946
53.8%
Decimal Number 1644
 
17.9%
Space Separator 1617
 
17.6%
Other Punctuation 340
 
3.7%
Open Punctuation 282
 
3.1%
Close Punctuation 282
 
3.1%
Uppercase Letter 40
 
0.4%
Dash Punctuation 34
 
0.4%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 412
 
8.3%
동 355
 
7.2%
천 309
 
6.2%
경 294
 
5.9%
도 286
 
5.8%
시 279
 
5.6%
로 274
 
5.5%
기 271
 
5.5%
호 179
 
3.6%
층 156
 
3.2%
Other values (212) 2131
43.1%
Uppercase Letter
ValueCountFrequency (%)
B 8
20.0%
T 5
12.5%
L 4
10.0%
S 3
 
7.5%
A 3
 
7.5%
E 2
 
5.0%
O 2
 
5.0%
I 2
 
5.0%
H 2
 
5.0%
C 1
 
2.5%
Other values (8) 8
20.0%
Decimal Number
ValueCountFrequency (%)
1 535
32.5%
2 217
13.2%
0 209
 
12.7%
3 137
 
8.3%
4 120
 
7.3%
5 100
 
6.1%
7 98
 
6.0%
6 79
 
4.8%
8 78
 
4.7%
9 71
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1617
100.0%
Other Punctuation
ValueCountFrequency (%)
, 340
100.0%
Open Punctuation
ValueCountFrequency (%)
( 282
100.0%
Close Punctuation
ValueCountFrequency (%)
) 282
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4946
53.8%
Common 4203
45.7%
Latin 42
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 412
 
8.3%
동 355
 
7.2%
천 309
 
6.2%
경 294
 
5.9%
도 286
 
5.8%
시 279
 
5.6%
로 274
 
5.5%
기 271
 
5.5%
호 179
 
3.6%
층 156
 
3.2%
Other values (212) 2131
43.1%
Latin
ValueCountFrequency (%)
B 8
19.0%
T 5
11.9%
L 4
 
9.5%
S 3
 
7.1%
A 3
 
7.1%
E 2
 
4.8%
O 2
 
4.8%
I 2
 
4.8%
H 2
 
4.8%
C 1
 
2.4%
Other values (10) 10
23.8%
Common
ValueCountFrequency (%)
1617
38.5%
1 535
 
12.7%
, 340
 
8.1%
( 282
 
6.7%
) 282
 
6.7%
2 217
 
5.2%
0 209
 
5.0%
3 137
 
3.3%
4 120
 
2.9%
5 100
 
2.4%
Other values (6) 364
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4946
53.8%
ASCII 4245
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1617
38.1%
1 535
 
12.6%
, 340
 
8.0%
( 282
 
6.6%
) 282
 
6.6%
2 217
 
5.1%
0 209
 
4.9%
3 137
 
3.2%
4 120
 
2.8%
5 100
 
2.4%
Other values (26) 406
 
9.6%
Hangul
ValueCountFrequency (%)
부 412
 
8.3%
동 355
 
7.2%
천 309
 
6.2%
경 294
 
5.9%
도 286
 
5.8%
시 279
 
5.6%
로 274
 
5.5%
기 271
 
5.5%
호 179
 
3.6%
층 156
 
3.2%
Other values (212) 2131
43.1%

소재지(지번)
Text

Distinct266
Distinct (%)98.9%
Missing1
Missing (%)0.4%
Memory size2.2 KiB
2023-12-13T04:47:14.083385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length28.185874
Min length16

Characters and Unicode

Total characters7582
Distinct characters251
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

Unique264 ?
Unique (%)98.1%

Sample

1st row경기도 부천시 심곡본동 668 ,668-2,668-20
2nd row경기도 부천시 괴안동 40-11
3rd row경기도 부천시 심곡본동 675-1
4th row경기도 부천시 송내동 453-5
5th row경기도 부천시 소사본동 244-83 지하1층-1층
ValueCountFrequency (%)
부천시 270
 
16.8%
경기도 269
 
16.7%
중동 77
 
4.8%
1층 74
 
4.6%
상동 42
 
2.6%
일부 36
 
2.2%
1층일부 25
 
1.6%
심곡동 17
 
1.1%
일부호 14
 
0.9%
심곡본동 14
 
0.9%
Other values (509) 773
48.0%
2023-12-13T04:47:14.532704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1561
20.6%
1 615
 
8.1%
부 374
 
4.9%
동 333
 
4.4%
천 289
 
3.8%
도 280
 
3.7%
시 279
 
3.7%
기 270
 
3.6%
경 269
 
3.5%
0 211
 
2.8%
Other values (241) 3101
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3875
51.1%
Decimal Number 1768
23.3%
Space Separator 1561
20.6%
Dash Punctuation 205
 
2.7%
Other Punctuation 97
 
1.3%
Uppercase Letter 43
 
0.6%
Close Punctuation 14
 
0.2%
Open Punctuation 14
 
0.2%
Math Symbol 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 374
 
9.7%
동 333
 
8.6%
천 289
 
7.5%
도 280
 
7.2%
시 279
 
7.2%
기 270
 
7.0%
경 269
 
6.9%
호 158
 
4.1%
층 128
 
3.3%
중 93
 
2.4%
Other values (204) 1402
36.2%
Uppercase Letter
ValueCountFrequency (%)
B 8
18.6%
T 5
11.6%
L 4
9.3%
C 3
 
7.0%
S 3
 
7.0%
A 3
 
7.0%
K 2
 
4.7%
O 2
 
4.7%
E 2
 
4.7%
H 2
 
4.7%
Other values (8) 9
20.9%
Decimal Number
ValueCountFrequency (%)
1 615
34.8%
0 211
 
11.9%
3 183
 
10.4%
2 158
 
8.9%
4 146
 
8.3%
5 127
 
7.2%
6 107
 
6.1%
7 89
 
5.0%
8 73
 
4.1%
9 59
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 96
99.0%
. 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
c 1
50.0%
Space Separator
ValueCountFrequency (%)
1561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 205
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3875
51.1%
Common 3662
48.3%
Latin 45
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 374
 
9.7%
동 333
 
8.6%
천 289
 
7.5%
도 280
 
7.2%
시 279
 
7.2%
기 270
 
7.0%
경 269
 
6.9%
호 158
 
4.1%
층 128
 
3.3%
중 93
 
2.4%
Other values (204) 1402
36.2%
Latin
ValueCountFrequency (%)
B 8
17.8%
T 5
11.1%
L 4
 
8.9%
C 3
 
6.7%
S 3
 
6.7%
A 3
 
6.7%
K 2
 
4.4%
O 2
 
4.4%
E 2
 
4.4%
H 2
 
4.4%
Other values (10) 11
24.4%
Common
ValueCountFrequency (%)
1561
42.6%
1 615
 
16.8%
0 211
 
5.8%
- 205
 
5.6%
3 183
 
5.0%
2 158
 
4.3%
4 146
 
4.0%
5 127
 
3.5%
6 107
 
2.9%
, 96
 
2.6%
Other values (7) 253
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3875
51.1%
ASCII 3707
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1561
42.1%
1 615
 
16.6%
0 211
 
5.7%
- 205
 
5.5%
3 183
 
4.9%
2 158
 
4.3%
4 146
 
3.9%
5 127
 
3.4%
6 107
 
2.9%
, 96
 
2.6%
Other values (27) 298
 
8.0%
Hangul
ValueCountFrequency (%)
부 374
 
9.7%
동 333
 
8.6%
천 289
 
7.5%
도 280
 
7.2%
시 279
 
7.2%
기 270
 
7.0%
경 269
 
6.9%
호 158
 
4.1%
층 128
 
3.3%
중 93
 
2.4%
Other values (204) 1402
36.2%

소재지전화
Text

Distinct164
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T04:47:14.848183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.033333
Min length12

Characters and Unicode

Total characters3249
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

Unique158 ?
Unique (%)58.5%

Sample

1st row032-668-1381
2nd row032-341-3725
3rd row032-664-5246
4th row032-652-0452
5th row032-351-0991
ValueCountFrequency (%)
032-000-0000 101
37.4%
032-610-8165 3
 
1.1%
032-680-8055 2
 
0.7%
032-623-2068 2
 
0.7%
032-650-8121 2
 
0.7%
032-322-0409 2
 
0.7%
032-676-8202 1
 
0.4%
032-678-1985 1
 
0.4%
032-611-8284 1
 
0.4%
032-341-4310 1
 
0.4%
Other values (154) 154
57.0%
2023-12-13T04:47:15.370413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1127
34.7%
- 540
16.6%
2 416
 
12.8%
3 400
 
12.3%
6 160
 
4.9%
4 122
 
3.8%
1 119
 
3.7%
8 101
 
3.1%
7 98
 
3.0%
5 97
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2709
83.4%
Dash Punctuation 540
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1127
41.6%
2 416
 
15.4%
3 400
 
14.8%
6 160
 
5.9%
4 122
 
4.5%
1 119
 
4.4%
8 101
 
3.7%
7 98
 
3.6%
5 97
 
3.6%
9 69
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3249
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1127
34.7%
- 540
16.6%
2 416
 
12.8%
3 400
 
12.3%
6 160
 
4.9%
4 122
 
3.8%
1 119
 
3.7%
8 101
 
3.1%
7 98
 
3.0%
5 97
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1127
34.7%
- 540
16.6%
2 416
 
12.8%
3 400
 
12.3%
6 160
 
4.9%
4 122
 
3.8%
1 119
 
3.7%
8 101
 
3.1%
7 98
 
3.0%
5 97
 
3.0%

영업자시작일
Date

Distinct254
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum1988-07-23 00:00:00
Maximum2023-05-22 00:00:00
2023-12-13T04:47:15.544283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:47:15.691357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2023-12-13T04:47:11.958243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:47:12.087168image/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)소재지전화영업자시작일
0제과점영업프랑세즈과자점경기도 부천시 경인로 216-1 (심곡본동)경기도 부천시 심곡본동 668 ,668-2,668-20032-668-13812021-03-29
1제과점영업만나제과경기도 부천시 경인옛로118번길 27 (괴안동)경기도 부천시 괴안동 40-11032-341-37251988-09-08
2제과점영업부천과자점경기도 부천시 성주로 267, 1층 일부호 (심곡본동)경기도 부천시 심곡본동 675-1032-664-52462022-02-04
3제과점영업뚜레쥬르경기도 부천시 성주로 70 (송내동)경기도 부천시 송내동 453-5032-652-04522008-05-14
4제과점영업디셈버 과자점경기도 부천시 은성로 88, 지하1-1층 (소사본동)경기도 부천시 소사본동 244-83 지하1층-1층032-351-09912007-04-12
5제과점영업까레몽과자점경기도 부천시 오정로212번길 11 (오정동)경기도 부천시 오정동 578-3032-671-36181995-08-10
6제과점영업영국빵집경기도 부천시 오정로232번길 50 (오정동)경기도 부천시 오정동 572032-671-40441992-04-13
7제과점영업단팥빵경기도 부천시 소사로 712 (원종동)경기도 부천시 원종동 372032-677-24942009-09-03
8제과점영업블랑제리 푸알란 (BOULAERIE POILANE)경기도 부천시 소사로 791 (원종동)경기도 부천시 원종동 229-1032-672-54611988-07-23
9제과점영업오렌지곰카페경기도 부천시 범안로 44 (괴안동)경기도 부천시 괴안동 72-2032-341-33312016-12-15
업종명업소명소재지(도로명)소재지(지번)소재지전화영업자시작일
260제과점영업빵빵빵앤커피경기도 부천시 경인로 142, B01호 (송내동, 아이홈)경기도 부천시 송내동 578 아이홈 B01호032-000-00002023-02-16
261제과점영업데루델리(DERU DELI)경기도 부천시 신흥로 223, 신중동역 랜드마크 푸르지오 시티 121호 (중동)경기도 부천시 중동 1059 신중동역 랜드마크 푸르지오 시티 121호032-000-00002023-04-28
262제과점영업진미과자점경기도 부천시 부일로 232, 1층 4호 (상동)경기도 부천시 상동 463-2 1층 4호032-000-00002023-04-03
263제과점영업홍브레드(hongBread)경기도 부천시 조마루로291번길 25, 센타프라자 116호 (중동)경기도 부천시 중동 1129-1 센타프라자 116호032-000-00002023-04-12
264제과점영업이리온베이커리(Erion BAKERY)경기도 부천시 양지로 125, 예품프라자 1층 일부호 (옥길동)경기도 부천시 옥길동 784-4 예품프라자 1층 일부호032-000-00002023-04-28
265제과점영업오즈의마카롱경기도 부천시 송내대로 43, 송내전철역사내 가동 1층 101호 (송내동)경기도 부천시 송내동 632-4 송내전철역사내 가동 101호032-000-00002023-05-08
266제과점영업오즈의디저트경기도 부천시 길주로 234, 203동 1048호 (중동, 힐스테이트 중동)경기도 부천시 중동 1301 힐스테이트 중동 203동 1048호032-000-00002023-05-10
267제과점영업미미담베이크샵경기도 부천시 장말로362번길 7, 105호 (심곡동, 기성뷰그리안)경기도 부천시 심곡동 356-7 기성뷰그리안 105호032-000-00002023-05-12
268제과점영업브레댄코(부천소사점)경기도 부천시 소사로 156, 1층 일부호 (소사본동)경기도 부천시 소사본동 216-34 1층 일부호032-000-00002023-05-19
269제과점영업화이트리에 롯데백화점 중동점경기도 부천시 길주로 300, LOTTE백화점 지하1층 일부호 (중동)경기도 부천시 중동 1140 LOTTE백화점032-000-00002023-05-22