Overview

Dataset statistics

Number of variables5
Number of observations793
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory31.1 KiB
Average record size in memory40.2 B

Variable types

Text4
Categorical1

Dataset

Description인천광역시 내에 위치한 자원봉사할인가맹점에 대한 업종, 상호, 주소, 할인율, 소속자원봉사센터 등 현황을 제공합니다.
Author인천광역시
URLhttps://www.data.go.kr/data/15105868/fileData.do

Reproduction

Analysis started2023-12-16 15:44:24.205818
Analysis finished2023-12-16 15:44:28.443082
Duration4.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Text

Distinct111
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-16T15:44:28.915163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.1916772
Min length2

Characters and Unicode

Total characters2531
Distinct characters173
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)9.0%

Sample

1st row기타
2nd row제과제빵
3rd row제과제빵
4th row제과제빵
5th row제과제빵
ValueCountFrequency (%)
음식점 192
23.8%
이미용 96
11.9%
기타 94
11.7%
병원 34
 
4.2%
제과제빵 33
 
4.1%
커피전문점 29
 
3.6%
안경원 28
 
3.5%
부동산중개 27
 
3.3%
화원 25
 
3.1%
의류판매 19
 
2.4%
Other values (109) 229
28.4%
2023-12-16T15:44:30.298135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 225
 
8.9%
식 202
 
8.0%
음 192
 
7.6%
기 128
 
5.1%
원 111
 
4.4%
이 102
 
4.0%
용 100
 
4.0%
미 96
 
3.8%
타 95
 
3.8%
제 69
 
2.7%
Other values (163) 1211
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2499
98.7%
Space Separator 13
 
0.5%
Other Punctuation 12
 
0.5%
Uppercase Letter 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 225
 
9.0%
식 202
 
8.1%
음 192
 
7.7%
기 128
 
5.1%
원 111
 
4.4%
이 102
 
4.1%
용 100
 
4.0%
미 96
 
3.8%
타 95
 
3.8%
제 69
 
2.8%
Other values (153) 1179
47.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
V 1
14.3%
T 1
14.3%
P 1
14.3%
O 1
14.3%
S 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
/ 4
33.3%
. 1
 
8.3%
Space Separator
ValueCountFrequency (%)
13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2499
98.7%
Common 25
 
1.0%
Latin 7
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 225
 
9.0%
식 202
 
8.1%
음 192
 
7.7%
기 128
 
5.1%
원 111
 
4.4%
이 102
 
4.1%
용 100
 
4.0%
미 96
 
3.8%
타 95
 
3.8%
제 69
 
2.8%
Other values (153) 1179
47.2%
Latin
ValueCountFrequency (%)
C 2
28.6%
V 1
14.3%
T 1
14.3%
P 1
14.3%
O 1
14.3%
S 1
14.3%
Common
ValueCountFrequency (%)
13
52.0%
, 7
28.0%
/ 4
 
16.0%
. 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2499
98.7%
ASCII 32
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 225
 
9.0%
식 202
 
8.1%
음 192
 
7.7%
기 128
 
5.1%
원 111
 
4.4%
이 102
 
4.1%
용 100
 
4.0%
미 96
 
3.8%
타 95
 
3.8%
제 69
 
2.8%
Other values (153) 1179
47.2%
ASCII
ValueCountFrequency (%)
13
40.6%
, 7
21.9%
/ 4
 
12.5%
C 2
 
6.2%
. 1
 
3.1%
V 1
 
3.1%
T 1
 
3.1%
P 1
 
3.1%
O 1
 
3.1%
S 1
 
3.1%

상호
Text

Distinct790
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-16T15:44:31.095515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length6.5586381
Min length2

Characters and Unicode

Total characters5201
Distinct characters602
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique787 ?
Unique (%)99.2%

Sample

1st row삼도광고기획
2nd row굿모닝 베이커리
3rd row케익이벤트
4th row케익하우스 델리
5th row팡스
ValueCountFrequency (%)
사무소 3
 
0.3%
삼산점 3
 
0.3%
성심이용원 2
 
0.2%
원퍼센트 2
 
0.2%
크린토피아 2
 
0.2%
코인워시 2
 
0.2%
논현점 2
 
0.2%
빠리바게뜨 2
 
0.2%
안경 2
 
0.2%
알벤토 2
 
0.2%
Other values (942) 960
97.8%
2023-12-16T15:44:33.055209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
 
3.8%
사 93
 
1.8%
점 92
 
1.8%
인 90
 
1.7%
이 88
 
1.7%
리 86
 
1.7%
스 86
 
1.7%
원 86
 
1.7%
어 69
 
1.3%
수 51
 
1.0%
Other values (592) 4263
82.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4853
93.3%
Space Separator 197
 
3.8%
Lowercase Letter 29
 
0.6%
Uppercase Letter 25
 
0.5%
Close Punctuation 23
 
0.4%
Open Punctuation 22
 
0.4%
Decimal Number 22
 
0.4%
Other Punctuation 17
 
0.3%
Other Symbol 12
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 93
 
1.9%
점 92
 
1.9%
인 90
 
1.9%
이 88
 
1.8%
리 86
 
1.8%
스 86
 
1.8%
원 86
 
1.8%
어 69
 
1.4%
수 51
 
1.1%
대 50
 
1.0%
Other values (548) 4062
83.7%
Lowercase Letter
ValueCountFrequency (%)
r 4
13.8%
s 4
13.8%
o 4
13.8%
k 3
10.3%
c 2
6.9%
m 2
6.9%
y 2
6.9%
t 2
6.9%
a 2
6.9%
u 1
 
3.4%
Other values (3) 3
10.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
16.0%
M 4
16.0%
A 3
12.0%
O 3
12.0%
P 3
12.0%
K 2
8.0%
C 1
 
4.0%
B 1
 
4.0%
L 1
 
4.0%
T 1
 
4.0%
Other values (2) 2
8.0%
Decimal Number
ValueCountFrequency (%)
1 7
31.8%
0 4
18.2%
4 3
13.6%
2 3
13.6%
9 2
 
9.1%
3 1
 
4.5%
5 1
 
4.5%
8 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 6
35.3%
& 5
29.4%
/ 2
 
11.8%
. 2
 
11.8%
＆ 1
 
5.9%
· 1
 
5.9%
Space Separator
ValueCountFrequency (%)
197
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4864
93.5%
Common 282
 
5.4%
Latin 54
 
1.0%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 93
 
1.9%
점 92
 
1.9%
인 90
 
1.9%
이 88
 
1.8%
리 86
 
1.8%
스 86
 
1.8%
원 86
 
1.8%
어 69
 
1.4%
수 51
 
1.0%
대 50
 
1.0%
Other values (548) 4073
83.7%
Latin
ValueCountFrequency (%)
r 4
 
7.4%
s 4
 
7.4%
o 4
 
7.4%
S 4
 
7.4%
M 4
 
7.4%
k 3
 
5.6%
A 3
 
5.6%
O 3
 
5.6%
P 3
 
5.6%
c 2
 
3.7%
Other values (15) 20
37.0%
Common
ValueCountFrequency (%)
197
69.9%
) 23
 
8.2%
( 22
 
7.8%
1 7
 
2.5%
, 6
 
2.1%
& 5
 
1.8%
0 4
 
1.4%
4 3
 
1.1%
2 3
 
1.1%
9 2
 
0.7%
Other values (8) 10
 
3.5%
Han
ValueCountFrequency (%)
李 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4852
93.3%
ASCII 334
 
6.4%
None 14
 
0.3%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
59.0%
) 23
 
6.9%
( 22
 
6.6%
1 7
 
2.1%
, 6
 
1.8%
& 5
 
1.5%
r 4
 
1.2%
s 4
 
1.2%
o 4
 
1.2%
S 4
 
1.2%
Other values (31) 58
 
17.4%
Hangul
ValueCountFrequency (%)
사 93
 
1.9%
점 92
 
1.9%
인 90
 
1.9%
이 88
 
1.8%
리 86
 
1.8%
스 86
 
1.8%
원 86
 
1.8%
어 69
 
1.4%
수 51
 
1.1%
대 50
 
1.0%
Other values (547) 4061
83.7%
None
ValueCountFrequency (%)
㈜ 12
85.7%
＆ 1
 
7.1%
· 1
 
7.1%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

주소
Text

Distinct779
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-16T15:44:34.244819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length15.807062
Min length6

Characters and Unicode

Total characters12535
Distinct characters313
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

Unique765 ?
Unique (%)96.5%

Sample

1st row부평구 부평1동464-7
2nd row동구 화평동40-1(삼두1차옆)
3rd row남동구 만수1동983(삼환아파트후문)
4th row남동구 구월동1273-9(모래내시장입구)
5th row남동구 만수2동6-9(만수주공11단지입구)
ValueCountFrequency (%)
남동구 123
 
4.6%
부평구 102
 
3.8%
연수구 81
 
3.0%
중구 78
 
2.9%
서구 76
 
2.8%
남구 75
 
2.8%
1층 64
 
2.4%
동구 62
 
2.3%
계양구 54
 
2.0%
미추홀구 32
 
1.2%
Other values (1242) 1946
72.3%
2023-12-16T15:44:35.934875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2132
 
17.0%
1 814
 
6.5%
구 733
 
5.8%
동 644
 
5.1%
2 561
 
4.5%
로 420
 
3.4%
3 362
 
2.9%
4 354
 
2.8%
- 350
 
2.8%
5 319
 
2.5%
Other values (303) 5846
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6191
49.4%
Decimal Number 3583
28.6%
Space Separator 2132
 
17.0%
Dash Punctuation 350
 
2.8%
Other Punctuation 101
 
0.8%
Close Punctuation 79
 
0.6%
Open Punctuation 79
 
0.6%
Uppercase Letter 14
 
0.1%
Lowercase Letter 5
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 733
 
11.8%
동 644
 
10.4%
로 420
 
6.8%
남 260
 
4.2%
길 192
 
3.1%
번 184
 
3.0%
부 153
 
2.5%
수 147
 
2.4%
층 136
 
2.2%
평 132
 
2.1%
Other values (275) 3190
51.5%
Decimal Number
ValueCountFrequency (%)
1 814
22.7%
2 561
15.7%
3 362
10.1%
4 354
9.9%
5 319
 
8.9%
0 290
 
8.1%
6 235
 
6.6%
8 224
 
6.3%
7 218
 
6.1%
9 206
 
5.7%
Uppercase Letter
ValueCountFrequency (%)
B 5
35.7%
A 5
35.7%
H 1
 
7.1%
E 1
 
7.1%
J 1
 
7.1%
S 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
g 2
40.0%
h 1
20.0%
s 1
20.0%
c 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 88
87.1%
. 9
 
8.9%
/ 4
 
4.0%
Space Separator
ValueCountFrequency (%)
2132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Close Punctuation
ValueCountFrequency (%)
) 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 79
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6325
50.5%
Hangul 6191
49.4%
Latin 19
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 733
 
11.8%
동 644
 
10.4%
로 420
 
6.8%
남 260
 
4.2%
길 192
 
3.1%
번 184
 
3.0%
부 153
 
2.5%
수 147
 
2.4%
층 136
 
2.2%
평 132
 
2.1%
Other values (275) 3190
51.5%
Common
ValueCountFrequency (%)
2132
33.7%
1 814
 
12.9%
2 561
 
8.9%
3 362
 
5.7%
4 354
 
5.6%
- 350
 
5.5%
5 319
 
5.0%
0 290
 
4.6%
6 235
 
3.7%
8 224
 
3.5%
Other values (8) 684
 
10.8%
Latin
ValueCountFrequency (%)
B 5
26.3%
A 5
26.3%
g 2
 
10.5%
h 1
 
5.3%
s 1
 
5.3%
H 1
 
5.3%
c 1
 
5.3%
E 1
 
5.3%
J 1
 
5.3%
S 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6344
50.6%
Hangul 6191
49.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2132
33.6%
1 814
 
12.8%
2 561
 
8.8%
3 362
 
5.7%
4 354
 
5.6%
- 350
 
5.5%
5 319
 
5.0%
0 290
 
4.6%
6 235
 
3.7%
8 224
 
3.5%
Other values (18) 703
 
11.1%
Hangul
ValueCountFrequency (%)
구 733
 
11.8%
동 644
 
10.4%
로 420
 
6.8%
남 260
 
4.2%
길 192
 
3.1%
번 184
 
3.0%
부 153
 
2.5%
수 147
 
2.4%
층 136
 
2.2%
평 132
 
2.1%
Other values (275) 3190
51.5%

할인율
Text

Distinct306
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
2023-12-16T15:44:36.587421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length37
Mean length9.7351828
Min length2

Characters and Unicode

Total characters7720
Distinct characters308
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)32.3%

Sample

1st row요금의10%(전품목)
2nd row전품목 20%
3rd row전품목 20%
4th row전품목 10%
5th row전품목 20%
ValueCountFrequency (%)
전체품목 213
 
14.1%
10 185
 
12.3%
5 170
 
11.3%
일부품목 92
 
6.1%
전품목 53
 
3.5%
전체 50
 
3.3%
20 46
 
3.0%
10%(전체 34
 
2.3%
전품목10 24
 
1.6%
제외 23
 
1.5%
Other values (405) 619
41.0%
2023-12-16T15:44:38.003732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
% 789
 
10.2%
727
 
9.4%
품 580
 
7.5%
목 556
 
7.2%
0 521
 
6.7%
전 493
 
6.4%
1 373
 
4.8%
체 359
 
4.7%
5 304
 
3.9%
( 300
 
3.9%
Other values (298) 2718
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4079
52.8%
Decimal Number 1370
 
17.7%
Other Punctuation 914
 
11.8%
Space Separator 727
 
9.4%
Open Punctuation 300
 
3.9%
Close Punctuation 300
 
3.9%
Math Symbol 9
 
0.1%
Uppercase Letter 9
 
0.1%
Lowercase Letter 7
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 580
14.2%
목 556
13.6%
전 493
 
12.1%
체 359
 
8.8%
일 228
 
5.6%
부 228
 
5.6%
제 95
 
2.3%
외 62
 
1.5%
시 51
 
1.3%
비 42
 
1.0%
Other values (262) 1385
34.0%
Decimal Number
ValueCountFrequency (%)
0 521
38.0%
1 373
27.2%
5 304
22.2%
2 100
 
7.3%
3 52
 
3.8%
4 6
 
0.4%
7 4
 
0.3%
9 4
 
0.3%
8 3
 
0.2%
6 3
 
0.2%
Other Punctuation
ValueCountFrequency (%)
% 789
86.3%
, 103
 
11.3%
/ 8
 
0.9%
: 5
 
0.5%
. 4
 
0.4%
* 2
 
0.2%
& 2
 
0.2%
· 1
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
I 2
22.2%
R 2
22.2%
T 1
11.1%
M 1
11.1%
L 1
11.1%
P 1
11.1%
V 1
11.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
f 2
28.6%
o 1
14.3%
c 1
14.3%
x 1
14.3%
Space Separator
ValueCountFrequency (%)
727
100.0%
Open Punctuation
ValueCountFrequency (%)
( 300
100.0%
Close Punctuation
ValueCountFrequency (%)
) 300
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㎝ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4079
52.8%
Common 3625
47.0%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 580
14.2%
목 556
13.6%
전 493
 
12.1%
체 359
 
8.8%
일 228
 
5.6%
부 228
 
5.6%
제 95
 
2.3%
외 62
 
1.5%
시 51
 
1.3%
비 42
 
1.0%
Other values (262) 1385
34.0%
Common
ValueCountFrequency (%)
% 789
21.8%
727
20.1%
0 521
14.4%
1 373
10.3%
5 304
 
8.4%
( 300
 
8.3%
) 300
 
8.3%
, 103
 
2.8%
2 100
 
2.8%
3 52
 
1.4%
Other values (14) 56
 
1.5%
Latin
ValueCountFrequency (%)
I 2
12.5%
R 2
12.5%
e 2
12.5%
f 2
12.5%
T 1
6.2%
M 1
6.2%
L 1
6.2%
P 1
6.2%
V 1
6.2%
o 1
6.2%
Other values (2) 2
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4079
52.8%
ASCII 3638
47.1%
CJK Compat 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
% 789
21.7%
727
20.0%
0 521
14.3%
1 373
10.3%
5 304
 
8.4%
( 300
 
8.2%
) 300
 
8.2%
, 103
 
2.8%
2 100
 
2.7%
3 52
 
1.4%
Other values (24) 69
 
1.9%
Hangul
ValueCountFrequency (%)
품 580
14.2%
목 556
13.6%
전 493
 
12.1%
체 359
 
8.8%
일 228
 
5.6%
부 228
 
5.6%
제 95
 
2.3%
외 62
 
1.5%
시 51
 
1.3%
비 42
 
1.0%
Other values (262) 1385
34.0%
CJK Compat
ValueCountFrequency (%)
㎝ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소속
Categorical

Distinct10
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.3 KiB
남동구
143 
미추홀구
110 
부평구
105 
연수구
93 
중구
87 
Other values (5)
255 

Length

Max length4
Median length3
Mean length2.8474149
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부평구
2nd row동구
3rd row남동구
4th row남동구
5th row남동구

Common Values

ValueCountFrequency (%)
남동구 143
18.0%
미추홀구 110
13.9%
부평구 105
13.2%
연수구 93
11.7%
중구 87
11.0%
계양구 83
10.5%
서구 81
10.2%
동구 63
7.9%
옹진군 14
 
1.8%
강화군 14
 
1.8%

Length

2023-12-16T15:44:39.074231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-16T15:44:39.757439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남동구 143
18.0%
미추홀구 110
13.9%
부평구 105
13.2%
연수구 93
11.7%
중구 87
11.0%
계양구 83
10.5%
서구 81
10.2%
동구 63
7.9%
옹진군 14
 
1.8%
강화군 14
 
1.8%

Missing values

2023-12-16T15:44:27.258610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-16T15:44:28.110131image/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

업종상호주소할인율소속
0기타삼도광고기획부평구 부평1동464-7요금의10%(전품목)부평구
1제과제빵굿모닝 베이커리동구 화평동40-1(삼두1차옆)전품목 20%동구
2제과제빵케익이벤트남동구 만수1동983(삼환아파트후문)전품목 20%남동구
3제과제빵케익하우스 델리남동구 구월동1273-9(모래내시장입구)전품목 10%남동구
4제과제빵팡스남동구 만수2동6-9(만수주공11단지입구)전품목 20%남동구
5제과제빵빵 굽는집동구 만석동122만석비치타운상가105호전품목 20%동구
6제과제빵마리앙뜨 과자점남동구 만수4동40 주공나동상가103호전품목 20%남동구
7음식점정 석 루중구 항동7가 87-2요금의5%(배달제외)중구
8음식점해뜨는집중구 북성동1가 98 -255요금의10%(전품목)중구
9음식점월미도횟집중구 북성동1가98 419호요금의10%(전품목)중구
업종상호주소할인율소속
783커피전문점아이언클래드강화군 강화읍 북문길 7 1층일부품목(아메리카노) 10%강화군
784기타강화덕진정육강화군 길상면 온수길 37전체품목 5%강화군
785기타혁신광고강화군 강화읍 갑곳리 190-1일부품목(현수막) 5%강화군
786커피전문점해뜨는 집강화군 삼산면 삼산남로 374 1층일부 5%(아메리카노)강화군
787음식점마포 순대국강화군 삼산면 삼산남로 833일부 5%(순대국)강화군
788음식점뱃고동강화군 삼산면 삼산남로 3730일부 5%(순두부백반)강화군
789음식점갯바다 해물탕 샤브 칼국수강화군 삼산면 삼산남로 824일부 5%(해물샤브샤브)강화군
790음식점전망 좋은집강화군 삼산면 삼산남로 828번길 17일부 5%(꽃게탕)강화군
791커피전문점커피터미널점옹진군 영흥면 영흥로176번길 8전체품목 10%옹진군
792기타믿음익스프레스남동구 만수로97,마동 313호전체품목(사다리차사용 제외)10%남동구