Overview

Dataset statistics

Number of variables7
Number of observations68
Missing cells7
Missing cells (%)1.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory58.9 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 자원봉사자 할인가맹점 현황에 대한 데이터 입니다.파일명 인천광역시_중구_자원봉사자 할인가맹점 현황파일내용 가맹점명, 분류, 주소, 전화번호 등
Author인천광역시 중구
URLhttps://www.data.go.kr/data/15086869/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 7 (10.3%) missing valuesMissing
연번 has unique valuesUnique
가맹점명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:43:27.604345
Analysis finished2024-03-14 09:43:29.157228
Duration1.55 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size740.0 B
2024-03-14T18:43:29.362502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2024-03-14T18:43:29.808388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

가맹점명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-03-14T18:43:30.584183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length6.3676471
Min length2

Characters and Unicode

Total characters433
Distinct characters209
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row정 석 루
2nd row해뜨는집
3rd row월미도횟집
4th row장터활어회집
5th row월미관
ValueCountFrequency (%)
조개구이 2
 
2.5%
정 1
 
1.2%
꼬치데이 1
 
1.2%
범산목장 1
 
1.2%
경인오토프라자 1
 
1.2%
화음상사 1
 
1.2%
삼원한약방 1
 
1.2%
리라화원 1
 
1.2%
선우네트웍스 1
 
1.2%
고운화장품 1
 
1.2%
Other values (70) 70
86.4%
2024-03-14T18:43:31.773847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13
 
3.0%
오 9
 
2.1%
스 8
 
1.8%
이 8
 
1.8%
인 8
 
1.8%
점 7
 
1.6%
사 7
 
1.6%
천 7
 
1.6%
화 7
 
1.6%
경 7
 
1.6%
Other values (199) 352
81.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
93.5%
Space Separator 13
 
3.0%
Uppercase Letter 4
 
0.9%
Lowercase Letter 4
 
0.9%
Open Punctuation 2
 
0.5%
Close Punctuation 2
 
0.5%
Dash Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
오 9
 
2.2%
스 8
 
2.0%
이 8
 
2.0%
인 8
 
2.0%
점 7
 
1.7%
사 7
 
1.7%
천 7
 
1.7%
화 7
 
1.7%
경 7
 
1.7%
장 6
 
1.5%
Other values (187) 331
81.7%
Uppercase Letter
ValueCountFrequency (%)
P 2
50.0%
E 1
25.0%
O 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
k 2
50.0%
u 1
25.0%
p 1
25.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 406
93.8%
Common 19
 
4.4%
Latin 8
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
오 9
 
2.2%
스 8
 
2.0%
이 8
 
2.0%
인 8
 
2.0%
점 7
 
1.7%
사 7
 
1.7%
천 7
 
1.7%
화 7
 
1.7%
경 7
 
1.7%
장 6
 
1.5%
Other values (188) 332
81.8%
Latin
ValueCountFrequency (%)
P 2
25.0%
k 2
25.0%
u 1
12.5%
p 1
12.5%
E 1
12.5%
O 1
12.5%
Common
ValueCountFrequency (%)
13
68.4%
( 2
 
10.5%
) 2
 
10.5%
- 1
 
5.3%
, 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
93.5%
ASCII 27
 
6.2%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13
48.1%
( 2
 
7.4%
P 2
 
7.4%
) 2
 
7.4%
k 2
 
7.4%
u 1
 
3.7%
p 1
 
3.7%
E 1
 
3.7%
- 1
 
3.7%
, 1
 
3.7%
Hangul
ValueCountFrequency (%)
오 9
 
2.2%
스 8
 
2.0%
이 8
 
2.0%
인 8
 
2.0%
점 7
 
1.7%
사 7
 
1.7%
천 7
 
1.7%
화 7
 
1.7%
경 7
 
1.7%
장 6
 
1.5%
Other values (187) 331
81.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

분류
Categorical

Distinct29
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Memory size672.0 B
음식점
29 
안경원
5 
제과제빵
3 
사진관
 
2
자동차부분정비업
 
2
Other values (24)
27 

Length

Max length8
Median length3
Mean length3.5882353
Min length2

Unique

Unique21 ?
Unique (%)30.9%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 29
42.6%
안경원 5
 
7.4%
제과제빵 3
 
4.4%
사진관 2
 
2.9%
자동차부분정비업 2
 
2.9%
의료기기 2
 
2.9%
화원 2
 
2.9%
의류판매 2
 
2.9%
페인트 1
 
1.5%
광고 1
 
1.5%
Other values (19) 19
27.9%

Length

2024-03-14T18:43:32.205021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 29
40.3%
안경원 5
 
6.9%
제과제빵 3
 
4.2%
사진관 2
 
2.8%
자동차부분정비업 2
 
2.8%
의료기기 2
 
2.8%
화원 2
 
2.8%
의류판매 2
 
2.8%
이동통신 1
 
1.4%
표구 1
 
1.4%
Other values (23) 23
31.9%

주소
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-03-14T18:43:33.427435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length29
Mean length20.647059
Min length14

Characters and Unicode

Total characters1404
Distinct characters104
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

Unique68 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 항동7가 87-2
2nd row인천광역시 중구 북성동1가 98 -255
3rd row인천광역시 중구 북성동1가98 419호
4th row인천광역시 중구 북성동1가98-441
5th row인천광역시 중구북성동1가98-271
ValueCountFrequency (%)
인천광역시 68
22.8%
중구 66
22.1%
인현동 10
 
3.4%
내동 7
 
2.3%
1층 4
 
1.3%
우현로 3
 
1.0%
북성동 3
 
1.0%
1가 3
 
1.0%
북성동1가 3
 
1.0%
항동7가 3
 
1.0%
Other values (122) 128
43.0%
2024-03-14T18:43:35.030654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
234
16.7%
인 83
 
5.9%
1 73
 
5.2%
중 72
 
5.1%
시 71
 
5.1%
구 69
 
4.9%
천 69
 
4.9%
광 68
 
4.8%
역 68
 
4.8%
동 56
 
4.0%
Other values (94) 541
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 822
58.5%
Decimal Number 285
 
20.3%
Space Separator 234
 
16.7%
Dash Punctuation 35
 
2.5%
Other Punctuation 11
 
0.8%
Open Punctuation 8
 
0.6%
Close Punctuation 8
 
0.6%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 83
 
10.1%
중 72
 
8.8%
시 71
 
8.6%
구 69
 
8.4%
천 69
 
8.4%
광 68
 
8.3%
역 68
 
8.3%
동 56
 
6.8%
가 22
 
2.7%
로 22
 
2.7%
Other values (77) 222
27.0%
Decimal Number
ValueCountFrequency (%)
1 73
25.6%
2 54
18.9%
5 24
 
8.4%
0 23
 
8.1%
3 22
 
7.7%
8 21
 
7.4%
4 20
 
7.0%
9 20
 
7.0%
6 15
 
5.3%
7 13
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 10
90.9%
. 1
 
9.1%
Space Separator
ValueCountFrequency (%)
234
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 822
58.5%
Common 581
41.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 83
 
10.1%
중 72
 
8.8%
시 71
 
8.6%
구 69
 
8.4%
천 69
 
8.4%
광 68
 
8.3%
역 68
 
8.3%
동 56
 
6.8%
가 22
 
2.7%
로 22
 
2.7%
Other values (77) 222
27.0%
Common
ValueCountFrequency (%)
234
40.3%
1 73
 
12.6%
2 54
 
9.3%
- 35
 
6.0%
5 24
 
4.1%
0 23
 
4.0%
3 22
 
3.8%
8 21
 
3.6%
4 20
 
3.4%
9 20
 
3.4%
Other values (6) 55
 
9.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 822
58.5%
ASCII 582
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
234
40.2%
1 73
 
12.5%
2 54
 
9.3%
- 35
 
6.0%
5 24
 
4.1%
0 23
 
4.0%
3 22
 
3.8%
8 21
 
3.6%
4 20
 
3.4%
9 20
 
3.4%
Other values (7) 56
 
9.6%
Hangul
ValueCountFrequency (%)
인 83
 
10.1%
중 72
 
8.8%
시 71
 
8.6%
구 69
 
8.4%
천 69
 
8.4%
광 68
 
8.3%
역 68
 
8.3%
동 56
 
6.8%
가 22
 
2.7%
로 22
 
2.7%
Other values (77) 222
27.0%

전화번호
Text

MISSING 

Distinct61
Distinct (%)100.0%
Missing7
Missing (%)10.3%
Memory size672.0 B
2024-03-14T18:43:35.941920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.032787
Min length12

Characters and Unicode

Total characters734
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

Unique61 ?
Unique (%)100.0%

Sample

1st row032-887-6900
2nd row032-763-1466
3rd row032-762-1115-6
4th row032-772-7171
5th row032-762-4865
ValueCountFrequency (%)
032-766-8808 1
 
1.6%
032-772-8182 1
 
1.6%
032-777-4445 1
 
1.6%
032-766-1557 1
 
1.6%
032-777-6958 1
 
1.6%
032-762-3649 1
 
1.6%
032-765-1224 1
 
1.6%
032-763-1909 1
 
1.6%
032-764-4908 1
 
1.6%
032-763-5333 1
 
1.6%
Other values (51) 51
83.6%
2024-03-14T18:43:37.104813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 123
16.8%
2 108
14.7%
7 105
14.3%
0 92
12.5%
3 89
12.1%
6 48
 
6.5%
8 42
 
5.7%
1 38
 
5.2%
4 36
 
4.9%
5 33
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 611
83.2%
Dash Punctuation 123
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 108
17.7%
7 105
17.2%
0 92
15.1%
3 89
14.6%
6 48
7.9%
8 42
 
6.9%
1 38
 
6.2%
4 36
 
5.9%
5 33
 
5.4%
9 20
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 734
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 123
16.8%
2 108
14.7%
7 105
14.3%
0 92
12.5%
3 89
12.1%
6 48
 
6.5%
8 42
 
5.7%
1 38
 
5.2%
4 36
 
4.9%
5 33
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 734
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 123
16.8%
2 108
14.7%
7 105
14.3%
0 92
12.5%
3 89
12.1%
6 48
 
6.5%
8 42
 
5.7%
1 38
 
5.2%
4 36
 
4.9%
5 33
 
4.5%

할인내용
Text

Distinct40
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size672.0 B
2024-03-14T18:43:37.864898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length9.2352941
Min length2

Characters and Unicode

Total characters628
Distinct characters82
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)44.1%

Sample

1st row요금의5%(배달제외)
2nd row요금의10%(전품목)
3rd row요금의10%(전품목)
4th row요금의10%(전품목)
5th row요금의10%(전품목)
ValueCountFrequency (%)
10 19
15.2%
전체품목 18
14.4%
5 11
 
8.8%
전품목 8
 
6.4%
20 8
 
6.4%
일부품목 7
 
5.6%
요금의10%(전품목 5
 
4.0%
10%(전체 4
 
3.2%
30 3
 
2.4%
5%(전체 3
 
2.4%
Other values (36) 39
31.2%
2024-03-14T18:43:39.018898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 70
 
11.1%
57
 
9.1%
0 51
 
8.1%
품 50
 
8.0%
목 47
 
7.5%
전 45
 
7.2%
1 34
 
5.4%
체 29
 
4.6%
( 24
 
3.8%
) 24
 
3.8%
Other values (72) 197
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 322
51.3%
Decimal Number 123
 
19.6%
Other Punctuation 78
 
12.4%
Space Separator 57
 
9.1%
Open Punctuation 24
 
3.8%
Close Punctuation 24
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 50
15.5%
목 47
14.6%
전 45
14.0%
체 29
 
9.0%
일 13
 
4.0%
부 12
 
3.7%
금 9
 
2.8%
의 8
 
2.5%
제 6
 
1.9%
요 6
 
1.9%
Other values (61) 97
30.1%
Decimal Number
ValueCountFrequency (%)
0 51
41.5%
1 34
27.6%
5 21
17.1%
2 10
 
8.1%
3 7
 
5.7%
Other Punctuation
ValueCountFrequency (%)
% 70
89.7%
, 7
 
9.0%
. 1
 
1.3%
Space Separator
ValueCountFrequency (%)
57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 322
51.3%
Common 306
48.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 50
15.5%
목 47
14.6%
전 45
14.0%
체 29
 
9.0%
일 13
 
4.0%
부 12
 
3.7%
금 9
 
2.8%
의 8
 
2.5%
제 6
 
1.9%
요 6
 
1.9%
Other values (61) 97
30.1%
Common
ValueCountFrequency (%)
% 70
22.9%
57
18.6%
0 51
16.7%
1 34
11.1%
( 24
 
7.8%
) 24
 
7.8%
5 21
 
6.9%
2 10
 
3.3%
, 7
 
2.3%
3 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 322
51.3%
ASCII 306
48.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 70
22.9%
57
18.6%
0 51
16.7%
1 34
11.1%
( 24
 
7.8%
) 24
 
7.8%
5 21
 
6.9%
2 10
 
3.3%
, 7
 
2.3%
3 7
 
2.3%
Hangul
ValueCountFrequency (%)
품 50
15.5%
목 47
14.6%
전 45
14.0%
체 29
 
9.0%
일 13
 
4.0%
부 12
 
3.7%
금 9
 
2.8%
의 8
 
2.5%
제 6
 
1.9%
요 6
 
1.9%
Other values (61) 97
30.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size672.0 B
Minimum2024-02-07 00:00:00
Maximum2024-02-07 00:00:00
2024-03-14T18:43:39.203088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:43:39.370599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T18:43:28.279090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:43:39.499053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가맹점명분류주소전화번호할인내용
연번1.0001.0000.8031.0001.0000.925
가맹점명1.0001.0001.0001.0001.0001.000
분류0.8031.0001.0001.0001.0000.975
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
할인내용0.9251.0000.9751.0001.0001.000
2024-03-14T18:43:39.668358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류
연번1.0000.351
분류0.3511.000

Missing values

2024-03-14T18:43:28.627133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:43:29.010074image/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

연번가맹점명분류주소전화번호할인내용데이터기준일자
01정 석 루음식점인천광역시 중구 항동7가 87-2032-887-6900요금의5%(배달제외)2024-02-07
12해뜨는집음식점인천광역시 중구 북성동1가 98 -255032-763-1466요금의10%(전품목)2024-02-07
23월미도횟집음식점인천광역시 중구 북성동1가98 419호032-762-1115-6요금의10%(전품목)2024-02-07
34장터활어회집음식점인천광역시 중구 북성동1가98-441032-772-7171요금의10%(전품목)2024-02-07
45월미관음식점인천광역시 중구북성동1가98-271032-762-4865요금의10%(전품목)2024-02-07
56해저회집음식점인천광역시 중구 북성동1가98-259032-761-1232요금의10%(전품목)2024-02-07
67월미낙지만두음식점인천광역시 중구 북성동 1가 98-220(월미도)032-762-5421주류제외 5%2024-02-07
78다원회집 조개구이음식점인천광역시 중구 북성동 1가 98(월미도)032-761-5376전품목 5%2024-02-07
89참좋은 안경안경원인천광역시 중구 신포동 1-2 신포메디칼 1층032-773-0701전품목 20%2024-02-07
910신한건강원건강원인천광역시 중구 송월동 2가 7032-765-7538전품목 5%2024-02-07
연번가맹점명분류주소전화번호할인내용데이터기준일자
5859맘스케익(청주오믈렛)제과제빵인천광역시 중구 운서로7번길 5, 101호032-746-0598전체 5%2024-02-07
5960뚜레쥬르 영종하늘도시점제과제빵인천광역시 중구 하늘중아로195번길 29, 1층 111호, 112-2호(중산동, 진로프라자)032-752-0040전체 20%2024-02-07
6061스파게티스토리영종도운서점음식점인천광역시 중구 운서로 7번길 5,101호032-746-7677전제품폭 5%(현금결제시)2024-02-07
6162꿉(kkup)제과제빵인천광역시 중구 우현로 49번길 4-1<NA>전체품목 5%2024-02-07
6263마담티음식점인천광역시 중구 홍예문로68번길 25. 1층<NA>전체품목 10%2024-02-07
6364케이카페음식점인천광역시 중구 미단행복로15, 102호<NA>전체품목 10%2024-02-07
6465떴다치킨호프음식점인천광역시 중구 남북로87(남북동)032-746-0888전체품목 5%(주류제외)2024-02-07
6566커피홀릭협동조합음식점인천광역시 중구 화랑목로100번길 27, 상가101호032-746-3100일부품목 10%(음료)2024-02-07
6667꼬치데이음식점인천광역시 중구 하늘중아로225번길 3032-752-5393일부품목 10%(주류제외)2024-02-07
6768삼보인테리어인테리어인천광역시 중구 인중로60, 1층(신흥동 3가)032-831-1414전체품목 5%2024-02-07