Overview

Dataset statistics

Number of variables6
Number of observations143
Missing cells60
Missing cells (%)7.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.0 KiB
Average record size in memory49.9 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 서구관내에 위치한 제과점 현황(업소명, 소재지(도로명,지번), 전화번호)에 관하여 입력된 데이터 엑셀파일입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039952&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 60 (42.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 12:15:40.899701
Analysis finished2024-01-28 12:15:41.503599
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72
Minimum1
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-01-28T21:15:41.579118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.1
Q136.5
median72
Q3107.5
95-th percentile135.9
Maximum143
Range142
Interquartile range (IQR)71

Descriptive statistics

Standard deviation41.42463
Coefficient of variation (CV)0.57534209
Kurtosis-1.2
Mean72
Median Absolute Deviation (MAD)36
Skewness0
Sum10296
Variance1716
MonotonicityStrictly increasing
2024-01-28T21:15:41.692531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
2 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
Other values (133) 133
93.0%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%

업소명
Text

Distinct134
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T21:15:41.879845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length8.4545455
Min length2

Characters and Unicode

Total characters1209
Distinct characters256
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

Unique126 ?
Unique (%)88.1%

Sample

1st row까레몽과자점
2nd row안젤리나
3rd row(주)세필즈과자점
4th row빵굼터 착한빵집
5th row케익이벤트
ValueCountFrequency (%)
파리바게뜨 12
 
6.2%
몽블랑제 9
 
4.7%
파리바게트 6
 
3.1%
인천청라점 4
 
2.1%
빵데이 3
 
1.6%
뚜레쥬르 3
 
1.6%
베이커리 2
 
1.0%
보리누리 2
 
1.0%
던킨도너츠 2
 
1.0%
국제성모병원점 2
 
1.0%
Other values (143) 147
76.6%
2024-01-28T21:15:42.199771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 69
 
5.7%
리 61
 
5.0%
49
 
4.1%
파 38
 
3.1%
바 38
 
3.1%
게 36
 
3.0%
이 33
 
2.7%
라 28
 
2.3%
뜨 25
 
2.1%
청 24
 
2.0%
Other values (246) 808
66.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
88.9%
Space Separator 49
 
4.1%
Lowercase Letter 30
 
2.5%
Uppercase Letter 16
 
1.3%
Close Punctuation 15
 
1.2%
Open Punctuation 15
 
1.2%
Decimal Number 8
 
0.7%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 69
 
6.4%
리 61
 
5.7%
파 38
 
3.5%
바 38
 
3.5%
게 36
 
3.3%
이 33
 
3.1%
라 28
 
2.6%
뜨 25
 
2.3%
청 24
 
2.2%
트 22
 
2.0%
Other values (208) 701
65.2%
Lowercase Letter
ValueCountFrequency (%)
e 6
20.0%
a 4
13.3%
t 3
10.0%
r 2
 
6.7%
d 2
 
6.7%
h 2
 
6.7%
k 1
 
3.3%
w 1
 
3.3%
y 1
 
3.3%
l 1
 
3.3%
Other values (7) 7
23.3%
Uppercase Letter
ValueCountFrequency (%)
S 2
12.5%
U 2
12.5%
D 2
12.5%
A 2
12.5%
G 1
6.2%
C 1
6.2%
M 1
6.2%
T 1
6.2%
Q 1
6.2%
E 1
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
6 2
25.0%
0 2
25.0%
7 1
12.5%
1 1
12.5%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
88.9%
Common 88
 
7.3%
Latin 46
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 69
 
6.4%
리 61
 
5.7%
파 38
 
3.5%
바 38
 
3.5%
게 36
 
3.3%
이 33
 
3.1%
라 28
 
2.6%
뜨 25
 
2.3%
청 24
 
2.2%
트 22
 
2.0%
Other values (208) 701
65.2%
Latin
ValueCountFrequency (%)
e 6
 
13.0%
a 4
 
8.7%
t 3
 
6.5%
S 2
 
4.3%
U 2
 
4.3%
D 2
 
4.3%
A 2
 
4.3%
r 2
 
4.3%
d 2
 
4.3%
h 2
 
4.3%
Other values (19) 19
41.3%
Common
ValueCountFrequency (%)
49
55.7%
) 15
 
17.0%
( 15
 
17.0%
2 2
 
2.3%
6 2
 
2.3%
0 2
 
2.3%
_ 1
 
1.1%
7 1
 
1.1%
1 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
88.9%
ASCII 134
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 69
 
6.4%
리 61
 
5.7%
파 38
 
3.5%
바 38
 
3.5%
게 36
 
3.3%
이 33
 
3.1%
라 28
 
2.6%
뜨 25
 
2.3%
청 24
 
2.2%
트 22
 
2.0%
Other values (208) 701
65.2%
ASCII
ValueCountFrequency (%)
49
36.6%
) 15
 
11.2%
( 15
 
11.2%
e 6
 
4.5%
a 4
 
3.0%
t 3
 
2.2%
S 2
 
1.5%
U 2
 
1.5%
D 2
 
1.5%
A 2
 
1.5%
Other values (28) 34
25.4%

소재지(도로명)
Text

Distinct140
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T21:15:42.429531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length48
Mean length36.531469
Min length21

Characters and Unicode

Total characters5224
Distinct characters242
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)96.5%

Sample

1st row인천광역시 서구 심곡로 44 (심곡동)
2nd row인천광역시 서구 서달로123번길 9 (석남동)
3rd row인천광역시 서구 장고개로 319 (가좌동)
4th row인천광역시 서구 원적로 79-1 (가좌동)
5th row인천광역시 서구 가정로 126 (가좌동)
ValueCountFrequency (%)
인천광역시 143
 
14.2%
서구 143
 
14.2%
1층 37
 
3.7%
청라동 18
 
1.8%
경서동 16
 
1.6%
당하동 15
 
1.5%
마전동 14
 
1.4%
일부호 14
 
1.4%
연희동 11
 
1.1%
103호 10
 
1.0%
Other values (362) 583
58.1%
2024-01-28T21:15:42.799052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
861
 
16.5%
1 296
 
5.7%
, 176
 
3.4%
서 166
 
3.2%
동 165
 
3.2%
( 152
 
2.9%
) 152
 
2.9%
시 150
 
2.9%
로 149
 
2.9%
인 147
 
2.8%
Other values (232) 2810
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2898
55.5%
Decimal Number 928
 
17.8%
Space Separator 861
 
16.5%
Other Punctuation 177
 
3.4%
Open Punctuation 152
 
2.9%
Close Punctuation 152
 
2.9%
Uppercase Letter 36
 
0.7%
Dash Punctuation 20
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 166
 
5.7%
동 165
 
5.7%
시 150
 
5.2%
로 149
 
5.1%
인 147
 
5.1%
천 147
 
5.1%
역 147
 
5.1%
광 144
 
5.0%
구 143
 
4.9%
호 101
 
3.5%
Other values (202) 1439
49.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
16.7%
S 5
13.9%
E 4
11.1%
K 3
8.3%
V 3
8.3%
W 3
8.3%
I 3
8.3%
A 3
8.3%
J 1
 
2.8%
G 1
 
2.8%
Other values (4) 4
11.1%
Decimal Number
ValueCountFrequency (%)
1 296
31.9%
0 125
13.5%
2 102
 
11.0%
3 73
 
7.9%
6 61
 
6.6%
7 60
 
6.5%
5 57
 
6.1%
8 55
 
5.9%
9 50
 
5.4%
4 49
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 176
99.4%
. 1
 
0.6%
Space Separator
ValueCountFrequency (%)
861
100.0%
Open Punctuation
ValueCountFrequency (%)
( 152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2898
55.5%
Common 2290
43.8%
Latin 36
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 166
 
5.7%
동 165
 
5.7%
시 150
 
5.2%
로 149
 
5.1%
인 147
 
5.1%
천 147
 
5.1%
역 147
 
5.1%
광 144
 
5.0%
구 143
 
4.9%
호 101
 
3.5%
Other values (202) 1439
49.7%
Common
ValueCountFrequency (%)
861
37.6%
1 296
 
12.9%
, 176
 
7.7%
( 152
 
6.6%
) 152
 
6.6%
0 125
 
5.5%
2 102
 
4.5%
3 73
 
3.2%
6 61
 
2.7%
7 60
 
2.6%
Other values (6) 232
 
10.1%
Latin
ValueCountFrequency (%)
B 6
16.7%
S 5
13.9%
E 4
11.1%
K 3
8.3%
V 3
8.3%
W 3
8.3%
I 3
8.3%
A 3
8.3%
J 1
 
2.8%
G 1
 
2.8%
Other values (4) 4
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2894
55.4%
ASCII 2326
44.5%
Compat Jamo 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
861
37.0%
1 296
 
12.7%
, 176
 
7.6%
( 152
 
6.5%
) 152
 
6.5%
0 125
 
5.4%
2 102
 
4.4%
3 73
 
3.1%
6 61
 
2.6%
7 60
 
2.6%
Other values (20) 268
 
11.5%
Hangul
ValueCountFrequency (%)
서 166
 
5.7%
동 165
 
5.7%
시 150
 
5.2%
로 149
 
5.1%
인 147
 
5.1%
천 147
 
5.1%
역 147
 
5.1%
광 144
 
5.0%
구 143
 
4.9%
호 101
 
3.5%
Other values (201) 1435
49.6%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

소재지(지번)
Text

Distinct140
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-01-28T21:15:43.115373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length40
Mean length28.328671
Min length17

Characters and Unicode

Total characters4051
Distinct characters202
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique138 ?
Unique (%)96.5%

Sample

1st row인천광역시 서구 심곡동 257
2nd row인천광역시 서구 석남동 489
3rd row인천광역시 서구 가좌동 30-102
4th row인천광역시 서구 가좌동 129-34
5th row인천광역시 서구 가좌동 140-32
ValueCountFrequency (%)
인천광역시 143
 
17.8%
서구 143
 
17.8%
청라동 38
 
4.7%
1층 27
 
3.4%
당하동 15
 
1.9%
마전동 14
 
1.7%
가좌동 14
 
1.7%
심곡동 9
 
1.1%
검암동 9
 
1.1%
일부 8
 
1.0%
Other values (287) 383
47.7%
2024-01-28T21:15:43.699126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
775
19.1%
1 299
 
7.4%
동 158
 
3.9%
시 149
 
3.7%
서 148
 
3.7%
역 147
 
3.6%
천 146
 
3.6%
인 146
 
3.6%
광 144
 
3.6%
구 143
 
3.5%
Other values (192) 1796
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2116
52.2%
Decimal Number 959
23.7%
Space Separator 775
 
19.1%
Dash Punctuation 133
 
3.3%
Uppercase Letter 28
 
0.7%
Other Punctuation 26
 
0.6%
Open Punctuation 7
 
0.2%
Close Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 158
 
7.5%
시 149
 
7.0%
서 148
 
7.0%
역 147
 
6.9%
천 146
 
6.9%
인 146
 
6.9%
광 144
 
6.8%
구 143
 
6.8%
호 81
 
3.8%
라 75
 
3.5%
Other values (162) 779
36.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
17.9%
S 4
14.3%
E 3
10.7%
K 2
 
7.1%
I 2
 
7.1%
W 2
 
7.1%
A 2
 
7.1%
V 2
 
7.1%
G 1
 
3.6%
J 1
 
3.6%
Other values (4) 4
14.3%
Decimal Number
ValueCountFrequency (%)
1 299
31.2%
0 142
14.8%
2 99
 
10.3%
3 77
 
8.0%
4 74
 
7.7%
5 62
 
6.5%
9 56
 
5.8%
7 55
 
5.7%
6 55
 
5.7%
8 40
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 25
96.2%
. 1
 
3.8%
Space Separator
ValueCountFrequency (%)
775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2116
52.2%
Common 1907
47.1%
Latin 28
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 158
 
7.5%
시 149
 
7.0%
서 148
 
7.0%
역 147
 
6.9%
천 146
 
6.9%
인 146
 
6.9%
광 144
 
6.8%
구 143
 
6.8%
호 81
 
3.8%
라 75
 
3.5%
Other values (162) 779
36.8%
Common
ValueCountFrequency (%)
775
40.6%
1 299
 
15.7%
0 142
 
7.4%
- 133
 
7.0%
2 99
 
5.2%
3 77
 
4.0%
4 74
 
3.9%
5 62
 
3.3%
9 56
 
2.9%
7 55
 
2.9%
Other values (6) 135
 
7.1%
Latin
ValueCountFrequency (%)
B 5
17.9%
S 4
14.3%
E 3
10.7%
K 2
 
7.1%
I 2
 
7.1%
W 2
 
7.1%
A 2
 
7.1%
V 2
 
7.1%
G 1
 
3.6%
J 1
 
3.6%
Other values (4) 4
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2112
52.1%
ASCII 1935
47.8%
Compat Jamo 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
775
40.1%
1 299
 
15.5%
0 142
 
7.3%
- 133
 
6.9%
2 99
 
5.1%
3 77
 
4.0%
4 74
 
3.8%
5 62
 
3.2%
9 56
 
2.9%
7 55
 
2.8%
Other values (20) 163
 
8.4%
Hangul
ValueCountFrequency (%)
동 158
 
7.5%
시 149
 
7.1%
서 148
 
7.0%
역 147
 
7.0%
천 146
 
6.9%
인 146
 
6.9%
광 144
 
6.8%
구 143
 
6.8%
호 81
 
3.8%
라 75
 
3.6%
Other values (161) 775
36.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%

전화번호
Text

MISSING 

Distinct79
Distinct (%)95.2%
Missing60
Missing (%)42.0%
Memory size1.2 KiB
2024-01-28T21:15:43.934659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.096386
Min length12

Characters and Unicode

Total characters1004
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

Unique76 ?
Unique (%)91.6%

Sample

1st row032-574-9293
2nd row032-577-5031
3rd row032-578-0220
4th row032-571-2421
5th row032-576-1390
ValueCountFrequency (%)
070-7513-7908 3
 
3.6%
070-7123-7606 2
 
2.4%
032-568-2315 2
 
2.4%
032-562-1321 1
 
1.2%
032-565-5259 1
 
1.2%
070-4225-0855 1
 
1.2%
032-568-3207 1
 
1.2%
032-561-2989 1
 
1.2%
032-563-0097 1
 
1.2%
032-321-6722 1
 
1.2%
Other values (69) 69
83.1%
2024-01-28T21:15:44.279910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 166
16.5%
0 147
14.6%
2 144
14.3%
3 117
11.7%
5 105
10.5%
6 73
7.3%
8 68
6.8%
7 60
 
6.0%
1 47
 
4.7%
4 43
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 838
83.5%
Dash Punctuation 166
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 147
17.5%
2 144
17.2%
3 117
14.0%
5 105
12.5%
6 73
8.7%
8 68
8.1%
7 60
7.2%
1 47
 
5.6%
4 43
 
5.1%
9 34
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 166
16.5%
0 147
14.6%
2 144
14.3%
3 117
11.7%
5 105
10.5%
6 73
7.3%
8 68
6.8%
7 60
 
6.0%
1 47
 
4.7%
4 43
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 166
16.5%
0 147
14.6%
2 144
14.3%
3 117
11.7%
5 105
10.5%
6 73
7.3%
8 68
6.8%
7 60
 
6.0%
1 47
 
4.7%
4 43
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2022-09-06
143 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-06
2nd row2022-09-06
3rd row2022-09-06
4th row2022-09-06
5th row2022-09-06

Common Values

ValueCountFrequency (%)
2022-09-06 143
100.0%

Length

2024-01-28T21:15:44.422738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T21:15:44.515897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 143
100.0%

Interactions

2024-01-28T21:15:41.283093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T21:15:44.564030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호
연번1.0000.943
전화번호0.9431.000

Missing values

2024-01-28T21:15:41.381874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T21:15:41.467763image/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

연번업소명소재지(도로명)소재지(지번)전화번호데이터기준일자
01까레몽과자점인천광역시 서구 심곡로 44 (심곡동)인천광역시 서구 심곡동 257032-574-92932022-09-06
12안젤리나인천광역시 서구 서달로123번길 9 (석남동)인천광역시 서구 석남동 489032-577-50312022-09-06
23(주)세필즈과자점인천광역시 서구 장고개로 319 (가좌동)인천광역시 서구 가좌동 30-102032-578-02202022-09-06
34빵굼터 착한빵집인천광역시 서구 원적로 79-1 (가좌동)인천광역시 서구 가좌동 129-34032-571-24212022-09-06
45케익이벤트인천광역시 서구 가정로 126 (가좌동)인천광역시 서구 가좌동 140-32032-576-13902022-09-06
56빵굽는마을인천광역시 서구 탁옥로85번길 6 (심곡동,대동아파트상가 106호)인천광역시 서구 심곡동 285 대동아파트상가 106호032-561-57372022-09-06
67파리바게뜨 서구 불로점인천광역시 서구 검단로 842, 중앙상가동 149호, 150호 (불로동, 월드아파트)인천광역시 서구 불로동 308 월드아파트 중앙상가동 149호, 150호032-562-04092022-09-06
78뚜레쥬르인천광역시 서구 가정로 246 (석남동)인천광역시 서구 석남동 510-6032-573-58572022-09-06
89킴스코어 베이커리인천광역시 서구 검단로487번길 25 (마전동)인천광역시 서구 마전동 918-6032-564-84092022-09-06
910파리바게트 서구청점인천광역시 서구 탁옥로 61 (심곡동)인천광역시 서구 심곡동 247-8032-565-00282022-09-06
연번업소명소재지(도로명)소재지(지번)전화번호데이터기준일자
133134미츄케이크(Meet U Cake)인천광역시 서구 완정로188번길 17, 105호 (마전동)인천광역시 서구 마전동 900-7<NA>2022-09-06
134135궁금한도넛인천광역시 서구 석곶로8번길 7-10, 지하1층 일부 (가정동)인천광역시 서구 가정동 506-22 지하1층 일부<NA>2022-09-06
135136파리바게뜨청라6단지점인천광역시 서구 차오름로 27, 1층 전체 (청라동)인천광역시 서구 청라동 36-4 1층 전체<NA>2022-09-06
136137던킨공항철도검암역점인천광역시 서구 검바위로 26, 검암역(공항철도) 1층 일부호 (검암동)인천광역시 서구 검암동 414-204 검암역(공항철도) 1층 일부호<NA>2022-09-06
137138큐피트케이크인천광역시 서구 보석로17번안길 16, 1층 일부 (청라동)인천광역시 서구 청라동 104-30 1층 일부<NA>2022-09-06
138139착한제빵소인천광역시 서구 크리스탈로102번길 22, 경연타워 1층 107호 (청라동)인천광역시 서구 청라동 151-4032-565-99562022-09-06
139140굿투비케이크인천광역시 서구 청라커낼로233번길 4, 1층 일부호 (청라동)인천광역시 서구 청라동 179-10 1층 일부호<NA>2022-09-06
140141티라노싸우루스인천광역시 서구 청라루비로 76, 청라 스퀘어7 213호 (청라동)인천광역시 서구 청라동 155-7 청라 스퀘어7 213호<NA>2022-09-06
141142아데쿠아트(ADEQUAT)인천광역시 서구 청라에메랄드로 99, 지젤엠청라 A동 1층 43호 (청라동)인천광역시 서구 청라동 165-12 지젤엠청라 A동 43호<NA>2022-09-06
142143빵모아베이커리인천광역시 서구 승학로 568, 1층 일부호 (검암동)인천광역시 서구 검암동 514-6<NA>2022-09-06