Overview

Dataset statistics

Number of variables8
Number of observations223
Missing cells173
Missing cells (%)9.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.3 KiB
Average record size in memory65.6 B

Variable types

Numeric1
Categorical2
Text3
DateTime2

Dataset

Description인천광역시 미추홀구의 위생등급 지정업소 현황에 대한 데이터로 업소명, 소재지, 지정등급 등의 항목을 제공하고 있습니다
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15113124/fileData.do

Alerts

기준일 has constant value ""Constant
연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
지정등급 is highly imbalanced (70.6%)Imbalance
전화번호 has 173 (77.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-29 23:06:54.387996
Analysis finished2024-04-29 23:06:56.542122
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct223
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112
Minimum1
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-04-30T08:06:56.620132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.1
Q156.5
median112
Q3167.5
95-th percentile211.9
Maximum223
Range222
Interquartile range (IQR)111

Descriptive statistics

Standard deviation64.518731
Coefficient of variation (CV)0.5760601
Kurtosis-1.2
Mean112
Median Absolute Deviation (MAD)56
Skewness0
Sum24976
Variance4162.6667
MonotonicityStrictly increasing
2024-04-30T08:06:56.755729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
143 1
 
0.4%
144 1
 
0.4%
145 1
 
0.4%
146 1
 
0.4%
147 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
Other values (213) 213
95.5%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
223 1
0.4%
222 1
0.4%
221 1
0.4%
220 1
0.4%
219 1
0.4%
218 1
0.4%
217 1
0.4%
216 1
0.4%
215 1
0.4%
214 1
0.4%

업종
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
일반음식점
112 
휴게음식점
100 
제과점영업
 
11

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 112
50.2%
휴게음식점 100
44.8%
제과점영업 11
 
4.9%

Length

2024-04-30T08:06:56.871861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:06:56.965048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 112
50.2%
휴게음식점 100
44.8%
제과점영업 11
 
4.9%

업소명
Text

Distinct219
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-30T08:06:57.214844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length19
Mean length10.506726
Min length2

Characters and Unicode

Total characters2343
Distinct characters363
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

Unique216 ?
Unique (%)96.9%

Sample

1st row낭만포차
2nd row빽보이피자 인천인하대점
3rd row다솥맛집 롯데백화점 인천점
4th row푸라닭(인천숭의점)
5th row엠케이푸드(MK푸드)
ValueCountFrequency (%)
스타벅스 10
 
2.4%
배스킨라빈스 8
 
1.9%
인천도화점 7
 
1.7%
롯데인천점 7
 
1.7%
이디야커피 7
 
1.7%
투썸플레이스 7
 
1.7%
인하대점 7
 
1.7%
주안점 7
 
1.7%
인천점 6
 
1.4%
던킨 5
 
1.2%
Other values (274) 353
83.3%
2024-04-30T08:06:57.590952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
201
 
8.6%
점 168
 
7.2%
인 103
 
4.4%
스 79
 
3.4%
천 77
 
3.3%
이 58
 
2.5%
주 49
 
2.1%
킨 37
 
1.6%
안 32
 
1.4%
( 30
 
1.3%
Other values (353) 1509
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1986
84.8%
Space Separator 201
 
8.6%
Uppercase Letter 50
 
2.1%
Open Punctuation 30
 
1.3%
Close Punctuation 30
 
1.3%
Decimal Number 30
 
1.3%
Lowercase Letter 12
 
0.5%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 168
 
8.5%
인 103
 
5.2%
스 79
 
4.0%
천 77
 
3.9%
이 58
 
2.9%
주 49
 
2.5%
킨 37
 
1.9%
안 32
 
1.6%
리 30
 
1.5%
하 25
 
1.3%
Other values (312) 1328
66.9%
Uppercase Letter
ValueCountFrequency (%)
D 8
16.0%
C 6
12.0%
T 6
12.0%
R 4
 
8.0%
H 4
 
8.0%
E 3
 
6.0%
B 3
 
6.0%
O 2
 
4.0%
F 2
 
4.0%
A 2
 
4.0%
Other values (8) 10
20.0%
Lowercase Letter
ValueCountFrequency (%)
y 2
16.7%
b 2
16.7%
o 1
8.3%
e 1
8.3%
f 1
8.3%
a 1
8.3%
h 1
8.3%
c 1
8.3%
i 1
8.3%
n 1
8.3%
Decimal Number
ValueCountFrequency (%)
1 8
26.7%
0 8
26.7%
6 4
13.3%
2 4
13.3%
4 2
 
6.7%
3 2
 
6.7%
5 1
 
3.3%
9 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
201
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1985
84.7%
Common 295
 
12.6%
Latin 62
 
2.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 168
 
8.5%
인 103
 
5.2%
스 79
 
4.0%
천 77
 
3.9%
이 58
 
2.9%
주 49
 
2.5%
킨 37
 
1.9%
안 32
 
1.6%
리 30
 
1.5%
하 25
 
1.3%
Other values (311) 1327
66.9%
Latin
ValueCountFrequency (%)
D 8
 
12.9%
C 6
 
9.7%
T 6
 
9.7%
R 4
 
6.5%
H 4
 
6.5%
E 3
 
4.8%
B 3
 
4.8%
O 2
 
3.2%
y 2
 
3.2%
F 2
 
3.2%
Other values (18) 22
35.5%
Common
ValueCountFrequency (%)
201
68.1%
( 30
 
10.2%
) 30
 
10.2%
1 8
 
2.7%
0 8
 
2.7%
6 4
 
1.4%
2 4
 
1.4%
& 3
 
1.0%
4 2
 
0.7%
3 2
 
0.7%
Other values (3) 3
 
1.0%
Han
ValueCountFrequency (%)
林 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1985
84.7%
ASCII 357
 
15.2%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
201
56.3%
( 30
 
8.4%
) 30
 
8.4%
1 8
 
2.2%
D 8
 
2.2%
0 8
 
2.2%
C 6
 
1.7%
T 6
 
1.7%
R 4
 
1.1%
H 4
 
1.1%
Other values (31) 52
 
14.6%
Hangul
ValueCountFrequency (%)
점 168
 
8.5%
인 103
 
5.2%
스 79
 
4.0%
천 77
 
3.9%
이 58
 
2.9%
주 49
 
2.5%
킨 37
 
1.9%
안 32
 
1.6%
리 30
 
1.5%
하 25
 
1.3%
Other values (311) 1327
66.9%
CJK
ValueCountFrequency (%)
林 1
100.0%

소재지
Text

Distinct197
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-04-30T08:06:57.790184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length51
Mean length35.381166
Min length22

Characters and Unicode

Total characters7890
Distinct characters208
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

Unique191 ?
Unique (%)85.7%

Sample

1st row인천광역시 미추홀구 인하로262번길 6 (주안동)
2nd row인천광역시 미추홀구 인하로91번길 20 (용현동)
3rd row인천광역시 미추홀구 연남로 35, 롯데백화점 6층 (관교동)
4th row인천광역시 미추홀구 경인로142번길 42 (숭의동,,48)
5th row인천광역시 미추홀구 인주대로418번길 22 (주안동)
ValueCountFrequency (%)
인천광역시 223
 
15.0%
미추홀구 223
 
15.0%
1층 69
 
4.6%
주안동 60
 
4.0%
용현동 55
 
3.7%
관교동 40
 
2.7%
연남로 38
 
2.6%
35 38
 
2.6%
지하1층 28
 
1.9%
인천종합터미널,롯데백화점 24
 
1.6%
Other values (365) 688
46.3%
2024-04-30T08:06:58.141942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1264
 
16.0%
1 343
 
4.3%
인 320
 
4.1%
미 274
 
3.5%
천 261
 
3.3%
, 258
 
3.3%
홀 251
 
3.2%
추 241
 
3.1%
동 240
 
3.0%
시 228
 
2.9%
Other values (198) 4210
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4671
59.2%
Space Separator 1264
 
16.0%
Decimal Number 1186
 
15.0%
Other Punctuation 262
 
3.3%
Close Punctuation 225
 
2.9%
Open Punctuation 225
 
2.9%
Dash Punctuation 25
 
0.3%
Uppercase Letter 23
 
0.3%
Math Symbol 6
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 320
 
6.9%
미 274
 
5.9%
천 261
 
5.6%
홀 251
 
5.4%
추 241
 
5.2%
동 240
 
5.1%
시 228
 
4.9%
역 227
 
4.9%
로 225
 
4.8%
구 224
 
4.8%
Other values (163) 2180
46.7%
Uppercase Letter
ValueCountFrequency (%)
B 6
26.1%
A 2
 
8.7%
S 2
 
8.7%
C 2
 
8.7%
G 1
 
4.3%
L 1
 
4.3%
Y 1
 
4.3%
W 1
 
4.3%
O 1
 
4.3%
Q 1
 
4.3%
Other values (5) 5
21.7%
Decimal Number
ValueCountFrequency (%)
1 343
28.9%
2 153
12.9%
3 136
 
11.5%
0 134
 
11.3%
5 107
 
9.0%
4 83
 
7.0%
6 71
 
6.0%
7 61
 
5.1%
8 58
 
4.9%
9 40
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
e 1
33.3%
y 1
33.3%
k 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 258
98.5%
. 4
 
1.5%
Space Separator
ValueCountFrequency (%)
1264
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4671
59.2%
Common 3193
40.5%
Latin 26
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 320
 
6.9%
미 274
 
5.9%
천 261
 
5.6%
홀 251
 
5.4%
추 241
 
5.2%
동 240
 
5.1%
시 228
 
4.9%
역 227
 
4.9%
로 225
 
4.8%
구 224
 
4.8%
Other values (163) 2180
46.7%
Latin
ValueCountFrequency (%)
B 6
23.1%
A 2
 
7.7%
S 2
 
7.7%
C 2
 
7.7%
e 1
 
3.8%
G 1
 
3.8%
L 1
 
3.8%
Y 1
 
3.8%
W 1
 
3.8%
O 1
 
3.8%
Other values (8) 8
30.8%
Common
ValueCountFrequency (%)
1264
39.6%
1 343
 
10.7%
, 258
 
8.1%
) 225
 
7.0%
( 225
 
7.0%
2 153
 
4.8%
3 136
 
4.3%
0 134
 
4.2%
5 107
 
3.4%
4 83
 
2.6%
Other values (7) 265
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4671
59.2%
ASCII 3219
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1264
39.3%
1 343
 
10.7%
, 258
 
8.0%
) 225
 
7.0%
( 225
 
7.0%
2 153
 
4.8%
3 136
 
4.2%
0 134
 
4.2%
5 107
 
3.3%
4 83
 
2.6%
Other values (25) 291
 
9.0%
Hangul
ValueCountFrequency (%)
인 320
 
6.9%
미 274
 
5.9%
천 261
 
5.6%
홀 251
 
5.4%
추 241
 
5.2%
동 240
 
5.1%
시 228
 
4.9%
역 227
 
4.9%
로 225
 
4.8%
구 224
 
4.8%
Other values (163) 2180
46.7%

지정등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
매우우수
205 
우수
 
14
좋음
 
4

Length

Max length4
Median length4
Mean length3.838565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row매우우수
2nd row매우우수
3rd row매우우수
4th row매우우수
5th row우수

Common Values

ValueCountFrequency (%)
매우우수 205
91.9%
우수 14
 
6.3%
좋음 4
 
1.8%

Length

2024-04-30T08:06:58.273503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:06:58.378874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
매우우수 205
91.9%
우수 14
 
6.3%
좋음 4
 
1.8%

지정일자
Date

Distinct141
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2022-04-22 00:00:00
Maximum2024-06-22 00:00:00
2024-04-30T08:06:58.508546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:06:58.635773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing173
Missing (%)77.6%
Memory size1.9 KiB
2024-04-30T08:06:58.841091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters600
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

Unique50 ?
Unique (%)100.0%

Sample

1st row032-873-2000
2nd row032-426-0028
3rd row032-873-9922
4th row032-427-8892
5th row032-242-2605
ValueCountFrequency (%)
032-866-6662 1
 
2.0%
032-874-7125 1
 
2.0%
032-460-7271 1
 
2.0%
032-872-7872 1
 
2.0%
032-435-1365 1
 
2.0%
032-868-1110 1
 
2.0%
032-716-6267 1
 
2.0%
032-429-6730 1
 
2.0%
032-876-4101 1
 
2.0%
032-874-1090 1
 
2.0%
Other values (40) 40
80.0%
2024-04-30T08:06:59.154052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 106
17.7%
- 100
16.7%
0 85
14.2%
3 75
12.5%
8 48
8.0%
4 42
 
7.0%
7 36
 
6.0%
6 35
 
5.8%
1 33
 
5.5%
9 21
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
83.3%
Dash Punctuation 100
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 106
21.2%
0 85
17.0%
3 75
15.0%
8 48
9.6%
4 42
 
8.4%
7 36
 
7.2%
6 35
 
7.0%
1 33
 
6.6%
9 21
 
4.2%
5 19
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 106
17.7%
- 100
16.7%
0 85
14.2%
3 75
12.5%
8 48
8.0%
4 42
 
7.0%
7 36
 
6.0%
6 35
 
5.8%
1 33
 
5.5%
9 21
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 106
17.7%
- 100
16.7%
0 85
14.2%
3 75
12.5%
8 48
8.0%
4 42
 
7.0%
7 36
 
6.0%
6 35
 
5.8%
1 33
 
5.5%
9 21
 
3.5%

기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2024-04-17 00:00:00
Maximum2024-04-17 00:00:00
2024-04-30T08:06:59.268810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T08:06:59.349282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-30T08:06:56.200699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:06:59.422028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종지정등급전화번호
연번1.0000.8870.2141.000
업종0.8871.0000.3981.000
지정등급0.2140.3981.0001.000
전화번호1.0001.0001.0001.000
2024-04-30T08:06:59.517070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지정등급업종
지정등급1.0000.146
업종0.1461.000
2024-04-30T08:06:59.606614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종지정등급
연번1.0000.8220.124
업종0.8221.0000.146
지정등급0.1240.1461.000

Missing values

2024-04-30T08:06:56.373859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:06:56.489692image/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

연번업종업소명소재지지정등급지정일자전화번호기준일
01일반음식점낭만포차인천광역시 미추홀구 인하로262번길 6 (주안동)매우우수2024-01-15<NA>2024-04-17
12일반음식점빽보이피자 인천인하대점인천광역시 미추홀구 인하로91번길 20 (용현동)매우우수2023-08-07<NA>2024-04-17
23일반음식점다솥맛집 롯데백화점 인천점인천광역시 미추홀구 연남로 35, 롯데백화점 6층 (관교동)매우우수2023-12-10<NA>2024-04-17
34일반음식점푸라닭(인천숭의점)인천광역시 미추홀구 경인로142번길 42 (숭의동,,48)매우우수2022-08-03<NA>2024-04-17
45일반음식점엠케이푸드(MK푸드)인천광역시 미추홀구 인주대로418번길 22 (주안동)우수2022-12-08<NA>2024-04-17
56일반음식점경복궁불고기학익점(주)엔타스인천광역시 미추홀구 매소홀로 378 (학익동)좋음2023-06-04032-873-20002024-04-17
67일반음식점비비큐 치킨 문학점인천광역시 미추홀구 매소홀로 550-2 (문학동)우수2023-10-13<NA>2024-04-17
78일반음식점송도갈매기주식회사(주안점)인천광역시 미추홀구 구월로 23, 코코스빌딩 1,2,3층 (주안동)매우우수2022-12-09032-426-00282024-04-17
89일반음식점네네치킨 앤 봉구스밥버거 용현점인천광역시 미추홀구 아암대로45번길 83-8 (용현동)매우우수2024-01-09<NA>2024-04-17
910일반음식점교촌치킨주안1호점인천광역시 미추홀구 인하로 346, 1층 (주안동)우수2024-03-25<NA>2024-04-17
연번업종업소명소재지지정등급지정일자전화번호기준일
213214제과점영업파리바게뜨 학익법원점인천광역시 미추홀구 매소홀로 419 (학익동)매우우수2022-06-14<NA>2024-04-17
214215제과점영업몽블랑제(인하점)인천광역시 미추홀구 소성로 6, 홈플러스 지하1층 화물용 엘리베이터 앞 (용현동)좋음2022-11-11<NA>2024-04-17
215216제과점영업파리바게뜨 간석풍림점인천광역시 미추홀구 석산로 12 (주안동)매우우수2023-08-31<NA>2024-04-17
216217제과점영업던킨도넛츠터미널점인천광역시 미추홀구 연남로 35 (관교동,종합터미널1층)매우우수2024-05-20032-423-99202024-04-17
217218제과점영업뚜레쥬르인천광역시 미추홀구 주안로 226, 더월드스테이트 중심상가동 114,114-1호 (주안동)매우우수2022-12-07032-464-04322024-04-17
218219제과점영업파리바게뜨 한신휴플러스인천광역시 미추홀구 인하로 347-1 (주안동)매우우수2023-04-26032-432-11042024-04-17
219220제과점영업뚜레쥬르 숭의점인천광역시 미추홀구 인주대로45번길 44 (숭의동)매우우수2022-05-18<NA>2024-04-17
220221제과점영업뚜레쥬르 인하대역점인천광역시 미추홀구 독배로317번길 29, 컬러프라자 102,103호 (용현동)매우우수2022-09-29032-889-66642024-04-17
221222제과점영업파리바게뜨 주안센트레빌점인천광역시 미추홀구 석정로 453, 1층 (주안동)매우우수2022-04-26<NA>2024-04-17
222223제과점영업뚜레쥬르 주안파크자이점인천광역시 미추홀구 인하로221번길 6, 1층 103호 (주안동)매우우수2023-07-25<NA>2024-04-17