Overview

Dataset statistics

Number of variables9
Number of observations181
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory76.7 B

Variable types

Numeric3
Text2
Categorical2
Boolean2

Dataset

Description인천광역시 미추홀구 미추홀구e음 혜택플러스가맹점 현환에 대한 데이터로 (지역구,APP노출명,업종명,할인율)등의 항목을 제공합니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15086374

Alerts

휴업여부 has constant value ""Constant
폐업여부 has constant value ""Constant
할인율 is highly imbalanced (51.2%)Imbalance
연번 has unique valuesUnique
가맹점명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 15:01:41.026176
Analysis finished2024-01-28 15:01:42.372652
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91
Minimum1
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-29T00:01:42.427562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q146
median91
Q3136
95-th percentile172
Maximum181
Range180
Interquartile range (IQR)90

Descriptive statistics

Standard deviation52.394338
Coefficient of variation (CV)0.57576196
Kurtosis-1.2
Mean91
Median Absolute Deviation (MAD)45
Skewness0
Sum16471
Variance2745.1667
MonotonicityStrictly increasing
2024-01-29T00:01:42.533623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
115 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
123 1
 
0.6%
124 1
 
0.6%
Other values (171) 171
94.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
181 1
0.6%
180 1
0.6%
179 1
0.6%
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%

가맹점명
Text

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-29T00:01:42.796185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.6022099
Min length2

Characters and Unicode

Total characters1195
Distinct characters365
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

Unique181 ?
Unique (%)100.0%

Sample

1st row예쁜머리헤어
2nd row또래오래 더월드스테이트점
3rd row벨로코코
4th row동백식당
5th row제물포식당
ValueCountFrequency (%)
주안점 3
 
1.2%
인천도화점 3
 
1.2%
도화점 2
 
0.8%
롯데리아 2
 
0.8%
날마다 2
 
0.8%
학익점 2
 
0.8%
도시락 2
 
0.8%
용현점 2
 
0.8%
숭의점 2
 
0.8%
쿠시 2
 
0.8%
Other values (223) 224
91.1%
2024-01-29T00:01:43.160502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
5.5%
점 29
 
2.4%
스 25
 
2.1%
이 22
 
1.8%
리 21
 
1.8%
마 16
 
1.3%
) 16
 
1.3%
( 16
 
1.3%
피 15
 
1.3%
인 15
 
1.3%
Other values (355) 954
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1022
85.5%
Space Separator 66
 
5.5%
Uppercase Letter 40
 
3.3%
Lowercase Letter 18
 
1.5%
Close Punctuation 16
 
1.3%
Open Punctuation 16
 
1.3%
Decimal Number 13
 
1.1%
Dash Punctuation 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 29
 
2.8%
스 25
 
2.4%
이 22
 
2.2%
리 21
 
2.1%
마 16
 
1.6%
피 15
 
1.5%
인 15
 
1.5%
다 14
 
1.4%
가 14
 
1.4%
어 13
 
1.3%
Other values (316) 838
82.0%
Uppercase Letter
ValueCountFrequency (%)
O 5
12.5%
A 5
12.5%
J 3
 
7.5%
T 3
 
7.5%
L 2
 
5.0%
I 2
 
5.0%
M 2
 
5.0%
S 2
 
5.0%
K 2
 
5.0%
Y 2
 
5.0%
Other values (10) 12
30.0%
Lowercase Letter
ValueCountFrequency (%)
h 3
16.7%
e 3
16.7%
s 2
11.1%
r 2
11.1%
a 2
11.1%
i 2
11.1%
b 1
 
5.6%
m 1
 
5.6%
l 1
 
5.6%
o 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
0 4
30.8%
2 4
30.8%
1 3
23.1%
4 1
 
7.7%
3 1
 
7.7%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1022
85.5%
Common 115
 
9.6%
Latin 58
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 29
 
2.8%
스 25
 
2.4%
이 22
 
2.2%
리 21
 
2.1%
마 16
 
1.6%
피 15
 
1.5%
인 15
 
1.5%
다 14
 
1.4%
가 14
 
1.4%
어 13
 
1.3%
Other values (316) 838
82.0%
Latin
ValueCountFrequency (%)
O 5
 
8.6%
A 5
 
8.6%
J 3
 
5.2%
h 3
 
5.2%
T 3
 
5.2%
e 3
 
5.2%
L 2
 
3.4%
s 2
 
3.4%
I 2
 
3.4%
M 2
 
3.4%
Other values (20) 28
48.3%
Common
ValueCountFrequency (%)
66
57.4%
) 16
 
13.9%
( 16
 
13.9%
0 4
 
3.5%
2 4
 
3.5%
- 4
 
3.5%
1 3
 
2.6%
4 1
 
0.9%
3 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1022
85.5%
ASCII 173
 
14.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
38.2%
) 16
 
9.2%
( 16
 
9.2%
O 5
 
2.9%
A 5
 
2.9%
0 4
 
2.3%
2 4
 
2.3%
- 4
 
2.3%
J 3
 
1.7%
h 3
 
1.7%
Other values (29) 47
27.2%
Hangul
ValueCountFrequency (%)
점 29
 
2.8%
스 25
 
2.4%
이 22
 
2.2%
리 21
 
2.1%
마 16
 
1.6%
피 15
 
1.5%
인 15
 
1.5%
다 14
 
1.4%
가 14
 
1.4%
어 13
 
1.3%
Other values (316) 838
82.0%

유형
Categorical

Distinct47
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
일반휴게음식-일반한식
35 
일반휴게음식-서양음식
27 
보건위생-미용원
16 
일반휴게음식-스넥
12 
음료식품-기타음료식품
10 
Other values (42)
81 

Length

Max length14
Median length12
Mean length9.801105
Min length5

Unique

Unique23 ?
Unique (%)12.7%

Sample

1st row보건위생-미용원
2nd row일반휴게음식-일반한식
3rd row보건위생-피부미용실
4th row일반휴게음식-일반한식
5th row일반휴게음식-일반한식

Common Values

ValueCountFrequency (%)
일반휴게음식-일반한식 35
19.3%
일반휴게음식-서양음식 27
14.9%
보건위생-미용원 16
 
8.8%
일반휴게음식-스넥 12
 
6.6%
음료식품-기타음료식품 10
 
5.5%
보건위생-피부미용실 8
 
4.4%
문화.취미-화원 4
 
2.2%
보건위생-안경 4
 
2.2%
의류-정장 4
 
2.2%
문화.취미-문화취미기타 4
 
2.2%
Other values (37) 57
31.5%

Length

2024-01-29T00:01:43.269840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반휴게음식-일반한식 35
18.3%
일반휴게음식-서양음식 27
14.1%
보건위생-미용원 16
 
8.4%
일반휴게음식-스넥 12
 
6.3%
음료식품-기타음료식품 10
 
5.2%
보건위생-피부미용실 8
 
4.2%
의류-정장 4
 
2.1%
문화.취미-문화취미기타 4
 
2.1%
사무통신-통신기기 4
 
2.1%
보건위생-안경 4
 
2.1%
Other values (45) 67
35.1%

할인율
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
3
138 
5
24 
1
14 
7
 
4
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 138
76.2%
5 24
 
13.3%
1 14
 
7.7%
7 4
 
2.2%
2 1
 
0.6%

Length

2024-01-29T00:01:43.364559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-29T00:01:43.467055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 138
76.2%
5 24
 
13.3%
1 14
 
7.7%
7 4
 
2.2%
2 1
 
0.6%

도로명주소
Text

Distinct180
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-29T00:01:43.718314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length28.779006
Min length17

Characters and Unicode

Total characters5209
Distinct characters171
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

Unique179 ?
Unique (%)98.9%

Sample

1st row인천광역시 미추홀구 미추홀대로 641 1층
2nd row인천광역시 미추홀구 경원대로864번길 78 1층(주안동)
3rd row인천광역시 미추홀구 낙섬중로77번길 6 (용현동)
4th row인천광역시 미추홀구 경인로 186 (도화동)
5th row인천광역시 미추홀구 경인로 187 (도화동)
ValueCountFrequency (%)
미추홀구 181
 
18.4%
인천광역시 169
 
17.2%
1층 36
 
3.7%
경인로 30
 
3.1%
주안동 25
 
2.5%
용현동 14
 
1.4%
도화동 13
 
1.3%
지하 11
 
1.1%
인천시 10
 
1.0%
소성로 8
 
0.8%
Other values (333) 486
49.4%
2024-01-29T00:01:44.106311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
983
 
18.9%
인 234
 
4.5%
1 218
 
4.2%
홀 196
 
3.8%
미 192
 
3.7%
추 191
 
3.7%
천 187
 
3.6%
구 182
 
3.5%
시 182
 
3.5%
로 174
 
3.3%
Other values (161) 2470
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3063
58.8%
Space Separator 983
 
18.9%
Decimal Number 867
 
16.6%
Close Punctuation 125
 
2.4%
Open Punctuation 125
 
2.4%
Dash Punctuation 31
 
0.6%
Uppercase Letter 11
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 234
 
7.6%
홀 196
 
6.4%
미 192
 
6.3%
추 191
 
6.2%
천 187
 
6.1%
구 182
 
5.9%
시 182
 
5.9%
로 174
 
5.7%
역 169
 
5.5%
광 169
 
5.5%
Other values (137) 1187
38.8%
Decimal Number
ValueCountFrequency (%)
1 218
25.1%
2 115
13.3%
3 96
11.1%
4 88
10.1%
0 83
 
9.6%
8 68
 
7.8%
6 61
 
7.0%
5 54
 
6.2%
7 43
 
5.0%
9 41
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
T 2
18.2%
I 2
18.2%
B 1
 
9.1%
S 1
 
9.1%
K 1
 
9.1%
C 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
e 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
983
100.0%
Close Punctuation
ValueCountFrequency (%)
) 125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3063
58.8%
Common 2131
40.9%
Latin 15
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 234
 
7.6%
홀 196
 
6.4%
미 192
 
6.3%
추 191
 
6.2%
천 187
 
6.1%
구 182
 
5.9%
시 182
 
5.9%
로 174
 
5.7%
역 169
 
5.5%
광 169
 
5.5%
Other values (137) 1187
38.8%
Common
ValueCountFrequency (%)
983
46.1%
1 218
 
10.2%
) 125
 
5.9%
( 125
 
5.9%
2 115
 
5.4%
3 96
 
4.5%
4 88
 
4.1%
0 83
 
3.9%
8 68
 
3.2%
6 61
 
2.9%
Other values (4) 169
 
7.9%
Latin
ValueCountFrequency (%)
A 3
20.0%
T 2
13.3%
I 2
13.3%
c 2
13.3%
B 1
 
6.7%
S 1
 
6.7%
K 1
 
6.7%
e 1
 
6.7%
C 1
 
6.7%
s 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3063
58.8%
ASCII 2146
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
983
45.8%
1 218
 
10.2%
) 125
 
5.8%
( 125
 
5.8%
2 115
 
5.4%
3 96
 
4.5%
4 88
 
4.1%
0 83
 
3.9%
8 68
 
3.2%
6 61
 
2.8%
Other values (14) 184
 
8.6%
Hangul
ValueCountFrequency (%)
인 234
 
7.6%
홀 196
 
6.4%
미 192
 
6.3%
추 191
 
6.2%
천 187
 
6.1%
구 182
 
5.9%
시 182
 
5.9%
로 174
 
5.7%
역 169
 
5.5%
광 169
 
5.5%
Other values (137) 1187
38.8%

휴업여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size313.0 B
False
181 
ValueCountFrequency (%)
False 181
100.0%
2024-01-29T00:01:44.200500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

폐업여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size313.0 B
False
181 
ValueCountFrequency (%)
False 181
100.0%
2024-01-29T00:01:44.267619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위도
Real number (ℝ)

Distinct165
Distinct (%)91.7%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean37.457334
Minimum37.437361
Maximum37.474997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-29T00:01:44.350343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437361
5-th percentile37.440618
Q137.451021
median37.45878
Q337.464158
95-th percentile37.470239
Maximum37.474997
Range0.0376356
Interquartile range (IQR)0.0131369

Descriptive statistics

Standard deviation0.0090205766
Coefficient of variation (CV)0.00024082271
Kurtosis-0.53356888
Mean37.457334
Median Absolute Deviation (MAD)0.0058284
Skewness-0.52577756
Sum6742.3201
Variance8.1370802 × 10-5
MonotonicityNot monotonic
2024-01-29T00:01:44.468320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.461236 7
 
3.9%
37.4584146 3
 
1.7%
37.4636458 2
 
1.1%
37.4724416 2
 
1.1%
37.4566388 2
 
1.1%
37.4644261 2
 
1.1%
37.4406178 2
 
1.1%
37.464608 2
 
1.1%
37.4570841 2
 
1.1%
37.4500146 1
 
0.6%
Other values (155) 155
85.6%
ValueCountFrequency (%)
37.4373612 1
0.6%
37.4374951 1
0.6%
37.438023 1
0.6%
37.4382455 1
0.6%
37.4396391 1
0.6%
37.4396857 1
0.6%
37.4397585 1
0.6%
37.4401037 1
0.6%
37.4406178 2
1.1%
37.4407908 1
0.6%
ValueCountFrequency (%)
37.4749968 1
0.6%
37.4725905 1
0.6%
37.4724416 2
1.1%
37.4723479 1
0.6%
37.4717345 1
0.6%
37.4712874 1
0.6%
37.4710267 1
0.6%
37.4706043 1
0.6%
37.4702197 1
0.6%
37.4699729 1
0.6%

경도
Real number (ℝ)

Distinct165
Distinct (%)91.7%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean126.66639
Minimum126.63513
Maximum126.69617
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-01-29T00:01:44.586354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63513
5-th percentile126.63936
Q1126.65271
median126.66753
Q3126.68022
95-th percentile126.69246
Maximum126.69617
Range0.061043
Interquartile range (IQR)0.027507

Descriptive statistics

Standard deviation0.016380071
Coefficient of variation (CV)0.00012931663
Kurtosis-1.0274995
Mean126.66639
Median Absolute Deviation (MAD)0.0128985
Skewness-0.16328641
Sum22799.95
Variance0.00026830672
MonotonicityNot monotonic
2024-01-29T00:01:44.700787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.680218 7
 
3.9%
126.689826 3
 
1.7%
126.681722 2
 
1.1%
126.669397 2
 
1.1%
126.650953 2
 
1.1%
126.68043 2
 
1.1%
126.669277 2
 
1.1%
126.668007 2
 
1.1%
126.68756 2
 
1.1%
126.641333 1
 
0.6%
Other values (155) 155
85.6%
ValueCountFrequency (%)
126.635132 1
0.6%
126.635267 1
0.6%
126.635681 1
0.6%
126.635756 1
0.6%
126.636486 1
0.6%
126.636677 1
0.6%
126.637323 1
0.6%
126.637992 1
0.6%
126.639099 1
0.6%
126.639378 1
0.6%
ValueCountFrequency (%)
126.696175 1
0.6%
126.695336 1
0.6%
126.694802 1
0.6%
126.694748 1
0.6%
126.694539 1
0.6%
126.693566 1
0.6%
126.693544 1
0.6%
126.693389 1
0.6%
126.692823 1
0.6%
126.692438 1
0.6%

Interactions

2024-01-29T00:01:41.878855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.419592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.646997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.949540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.498079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.726797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:42.030294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.574876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-29T00:01:41.803645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-29T00:01:44.782308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형할인율위도경도
연번1.0000.0000.3840.0000.415
유형0.0001.0000.4830.3290.371
할인율0.3840.4831.0000.0000.000
위도0.0000.3290.0001.0000.696
경도0.4150.3710.0000.6961.000
2024-01-29T00:01:44.858966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
할인율유형
할인율1.0000.211
유형0.2111.000
2024-01-29T00:01:44.928950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도유형할인율
연번1.000-0.116-0.0380.0000.167
위도-0.1161.000-0.0590.0980.000
경도-0.038-0.0591.0000.1140.000
유형0.0000.0980.1141.0000.211
할인율0.1670.0000.0000.2111.000

Missing values

2024-01-29T00:01:42.137476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-29T00:01:42.250769image/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.
2024-01-29T00:01:42.334261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번가맹점명유형할인율도로명주소휴업여부폐업여부위도경도
01예쁜머리헤어보건위생-미용원3인천광역시 미추홀구 미추홀대로 641 1층NN37.454702126.67967
12또래오래 더월드스테이트점일반휴게음식-일반한식3인천광역시 미추홀구 경원대로864번길 78 1층(주안동)NN37.461425126.693544
23벨로코코보건위생-피부미용실3인천광역시 미추홀구 낙섬중로77번길 6 (용현동)NN37.454875126.639603
34동백식당일반휴게음식-일반한식3인천광역시 미추홀구 경인로 186 (도화동)NN37.465423126.663132
45제물포식당일반휴게음식-일반한식3인천광역시 미추홀구 경인로 187 (도화동)NN37.466029126.663739
56모두의포차(오지닭깐풍기-beer)일반휴게음식-주점3인천광역시 미추홀구 길파로 19 (주안동)NN37.467532126.679321
67가족의류-내의판매3인천광역시 미추홀구 경인로 지하 343 A동 52호NN37.461236126.680218
78에떼호텔숙박업-여관 기타숙박업3인천광역시 미추홀구 주안서로 46NN37.462609126.678065
89황금보건위생-화장품3인천광역시 미추홀구 주안로 지하 86 (주안동) 지하 81호NN37.464426126.68043
910이지컬헤어보건위생-미용원3인천시 미추홀구 염창로 38 110호NN37.46568126.677724
연번가맹점명유형할인율도로명주소휴업여부폐업여부위도경도
171172페리카나 학익점일반휴게음식-스넥3인천광역시 미추홀구 한나루로 425 (학익동) 1층NN37.445374126.665821
172173스탐헤어보건위생-미용원5인천광역시 미추홀구 독정이로 19 (용현동)NN37.457667126.654238
173174신기 합기도킥복싱학원-예체능계학원3인천시 미추홀구 인하로 233 4층NN37.44856126.674023
174175메인피부성형의원의원-의원3인천광역시 미추홀구 미추홀대로 716 (주안동) 메인프라자빌딩2층 메인의원NN37.461264126.680602
175176삼십일(31)리더스수학교습소학원-보습학원3인천광역시 미추홀구 아암대로 29번길 13 2층 206호(용현동)NN37.4586126.637992
176177러블리헤어보건위생-미용원3인천광역시 미추홀구 장천로24번길 7(숭의동) 1층NN37.459161126.647709
177178인천농산음료식품-농축수산품3인천시 미추홀구 문화서로 49번길 61NN37.449773126.692823
178179데님스토리의류-정장3인천광역시 미추홀구 주안로 지하 86 (주안동) 342 343NN37.464426126.68043
179180고품개문화.취미-애완동물3인천광역시 미추홀구 낙섬중로91번길 4(용현동)NN37.455923126.640604
180181윤-진 피부이야기보건위생-피부미용실3인천광역시 미추홀구 경인로 496 (주안동) 302호NN37.459788126.694748