Overview

Dataset statistics

Number of variables7
Number of observations76
Missing cells5
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory58.7 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description대구광역시 수성구 관내 자원봉사할인가맹점에 대한 정보입니다.가맹점명, 분류, 주소, 전화번호, 할인내용에 대한 정보를 제공합니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/15112947/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 5 (6.6%) missing valuesMissing
연번 has unique valuesUnique
가맹점명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:43:33.887130
Analysis finished2024-04-06 08:43:35.941546
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-04-06T17:43:36.149240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-04-06T17:43:36.543568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

가맹점명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T17:43:37.297092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length7.2894737
Min length3

Characters and Unicode

Total characters554
Distinct characters218
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row국립대구박물관
2nd row해피플라워
3rd row시티월드사우나
4th row환희정
5th row안동촌잉어찜매운탕
ValueCountFrequency (%)
스피드메이트 3
 
2.9%
쉐보레 3
 
2.9%
안경원 2
 
1.9%
범어점 2
 
1.9%
수성구 2
 
1.9%
두마리치킨 1
 
1.0%
동서사진관 1
 
1.0%
더(the)장례협동조합 1
 
1.0%
빨강머리 1
 
1.0%
국술원mms도장 1
 
1.0%
Other values (88) 88
83.8%
2024-04-06T17:43:38.452007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
5.2%
이 14
 
2.5%
안 10
 
1.8%
점 10
 
1.8%
지 10
 
1.8%
스 9
 
1.6%
리 9
 
1.6%
드 9
 
1.6%
소 8
 
1.4%
어 8
 
1.4%
Other values (208) 438
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 494
89.2%
Space Separator 29
 
5.2%
Decimal Number 7
 
1.3%
Uppercase Letter 7
 
1.3%
Close Punctuation 5
 
0.9%
Open Punctuation 5
 
0.9%
Lowercase Letter 3
 
0.5%
Other Punctuation 2
 
0.4%
Dash Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 14
 
2.8%
안 10
 
2.0%
점 10
 
2.0%
지 10
 
2.0%
스 9
 
1.8%
리 9
 
1.8%
드 9
 
1.8%
소 8
 
1.6%
어 8
 
1.6%
용 8
 
1.6%
Other values (191) 399
80.8%
Decimal Number
ValueCountFrequency (%)
0 3
42.9%
1 2
28.6%
2 1
 
14.3%
5 1
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
M 2
28.6%
S 2
28.6%
J 2
28.6%
T 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
h 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
. 1
50.0%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 495
89.4%
Common 49
 
8.8%
Latin 10
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 14
 
2.8%
안 10
 
2.0%
점 10
 
2.0%
지 10
 
2.0%
스 9
 
1.8%
리 9
 
1.8%
드 9
 
1.8%
소 8
 
1.6%
어 8
 
1.6%
용 8
 
1.6%
Other values (192) 400
80.8%
Common
ValueCountFrequency (%)
29
59.2%
) 5
 
10.2%
( 5
 
10.2%
0 3
 
6.1%
1 2
 
4.1%
, 1
 
2.0%
- 1
 
2.0%
2 1
 
2.0%
. 1
 
2.0%
5 1
 
2.0%
Latin
ValueCountFrequency (%)
M 2
20.0%
S 2
20.0%
J 2
20.0%
e 2
20.0%
T 1
10.0%
h 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 494
89.2%
ASCII 59
 
10.6%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
29
49.2%
) 5
 
8.5%
( 5
 
8.5%
0 3
 
5.1%
M 2
 
3.4%
S 2
 
3.4%
J 2
 
3.4%
e 2
 
3.4%
1 2
 
3.4%
T 1
 
1.7%
Other values (6) 6
 
10.2%
Hangul
ValueCountFrequency (%)
이 14
 
2.8%
안 10
 
2.0%
점 10
 
2.0%
지 10
 
2.0%
스 9
 
1.8%
리 9
 
1.8%
드 9
 
1.8%
소 8
 
1.6%
어 8
 
1.6%
용 8
 
1.6%
Other values (191) 399
80.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

분류
Categorical

Distinct28
Distinct (%)36.8%
Missing0
Missing (%)0.0%
Memory size740.0 B
음식점
13 
세탁업
12 
미용업
8 
자동차정비
8 
이용업
5 
Other values (23)
30 

Length

Max length25
Median length3
Mean length3.9868421
Min length2

Unique

Unique19 ?
Unique (%)25.0%

Sample

1st row박물관
2nd row꽃집
3rd row대중목욕탕
4th row음식점
5th row음식점

Common Values

ValueCountFrequency (%)
음식점 13
17.1%
세탁업 12
15.8%
미용업 8
10.5%
자동차정비 8
10.5%
이용업 5
 
6.6%
안경점 5
 
6.6%
대중목욕탕 2
 
2.6%
꽃집 2
 
2.6%
장례업 2
 
2.6%
학원 1
 
1.3%
Other values (18) 18
23.7%

Length

2024-04-06T17:43:38.823091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
음식점 13
15.9%
세탁업 12
14.6%
미용업 8
 
9.8%
자동차정비 8
 
9.8%
이용업 5
 
6.1%
안경점 5
 
6.1%
대중목욕탕 2
 
2.4%
꽃집 2
 
2.4%
장례업 2
 
2.4%
서비스 2
 
2.4%
Other values (23) 23
28.0%

주소
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T17:43:39.543391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length34
Mean length25.828947
Min length17

Characters and Unicode

Total characters1963
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

Unique76 ?
Unique (%)100.0%

Sample

1st row대구광역시 수성구 청호로 321(황금동)
2nd row대구광역시 수성구 달구벌대로 2370(범어동)
3rd row대구광역시 수성구 지범로 183(지산동)
4th row대구광역시 수성구 공경로 49(만촌동)
5th row대구광역시 수성구 범어로 198(범어동)
ValueCountFrequency (%)
대구광역시 76
21.8%
수성구 76
21.8%
달구벌대로 10
 
2.9%
들안로 6
 
1.7%
지범로 6
 
1.7%
4가 4
 
1.1%
범어로 4
 
1.1%
유니버시아드로 3
 
0.9%
만촌로 3
 
0.9%
국채보상로 3
 
0.9%
Other values (144) 157
45.1%
2024-04-06T17:43:40.894615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
 
13.9%
구 169
 
8.6%
대 92
 
4.7%
수 92
 
4.7%
성 88
 
4.5%
동 80
 
4.1%
시 80
 
4.1%
광 76
 
3.9%
역 76
 
3.9%
로 76
 
3.9%
Other values (94) 862
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1209
61.6%
Decimal Number 308
 
15.7%
Space Separator 272
 
13.9%
Open Punctuation 71
 
3.6%
Close Punctuation 71
 
3.6%
Other Punctuation 20
 
1.0%
Dash Punctuation 10
 
0.5%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 169
14.0%
대 92
 
7.6%
수 92
 
7.6%
성 88
 
7.3%
동 80
 
6.6%
시 80
 
6.6%
광 76
 
6.3%
역 76
 
6.3%
로 76
 
6.3%
범 31
 
2.6%
Other values (77) 349
28.9%
Decimal Number
ValueCountFrequency (%)
1 69
22.4%
2 46
14.9%
0 32
10.4%
6 31
10.1%
3 31
10.1%
4 25
 
8.1%
7 23
 
7.5%
5 19
 
6.2%
9 16
 
5.2%
8 16
 
5.2%
Uppercase Letter
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
272
100.0%
Open Punctuation
ValueCountFrequency (%)
( 71
100.0%
Close Punctuation
ValueCountFrequency (%)
) 71
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1209
61.6%
Common 752
38.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 169
14.0%
대 92
 
7.6%
수 92
 
7.6%
성 88
 
7.3%
동 80
 
6.6%
시 80
 
6.6%
광 76
 
6.3%
역 76
 
6.3%
로 76
 
6.3%
범 31
 
2.6%
Other values (77) 349
28.9%
Common
ValueCountFrequency (%)
272
36.2%
( 71
 
9.4%
) 71
 
9.4%
1 69
 
9.2%
2 46
 
6.1%
0 32
 
4.3%
6 31
 
4.1%
3 31
 
4.1%
4 25
 
3.3%
7 23
 
3.1%
Other values (5) 81
 
10.8%
Latin
ValueCountFrequency (%)
D 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1209
61.6%
ASCII 754
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
36.1%
( 71
 
9.4%
) 71
 
9.4%
1 69
 
9.2%
2 46
 
6.1%
0 32
 
4.2%
6 31
 
4.1%
3 31
 
4.1%
4 25
 
3.3%
7 23
 
3.1%
Other values (7) 83
 
11.0%
Hangul
ValueCountFrequency (%)
구 169
14.0%
대 92
 
7.6%
수 92
 
7.6%
성 88
 
7.3%
동 80
 
6.6%
시 80
 
6.6%
광 76
 
6.3%
역 76
 
6.3%
로 76
 
6.3%
범 31
 
2.6%
Other values (77) 349
28.9%

전화번호
Text

MISSING 

Distinct71
Distinct (%)100.0%
Missing5
Missing (%)6.6%
Memory size740.0 B
2024-04-06T17:43:41.572591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.056338
Min length12

Characters and Unicode

Total characters856
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

Unique71 ?
Unique (%)100.0%

Sample

1st row053-768-6051
2nd row053-742-5223
3rd row053-784-8866
4th row053-753-0296
5th row053-752-2588
ValueCountFrequency (%)
053-768-6051 1
 
1.4%
053-743-5527 1
 
1.4%
053-744-3365 1
 
1.4%
053-784-5238 1
 
1.4%
053-746-8782 1
 
1.4%
053-782-7122 1
 
1.4%
053-783-9449 1
 
1.4%
053-783-8272 1
 
1.4%
053-755-7436 1
 
1.4%
053-754-0789 1
 
1.4%
Other values (61) 61
85.9%
2024-04-06T17:43:42.734437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 142
16.6%
5 126
14.7%
0 114
13.3%
3 102
11.9%
7 91
10.6%
2 54
 
6.3%
4 53
 
6.2%
8 47
 
5.5%
9 46
 
5.4%
6 41
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 714
83.4%
Dash Punctuation 142
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 126
17.6%
0 114
16.0%
3 102
14.3%
7 91
12.7%
2 54
7.6%
4 53
7.4%
8 47
 
6.6%
9 46
 
6.4%
6 41
 
5.7%
1 40
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 856
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 142
16.6%
5 126
14.7%
0 114
13.3%
3 102
11.9%
7 91
10.6%
2 54
 
6.3%
4 53
 
6.2%
8 47
 
5.5%
9 46
 
5.4%
6 41
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 856
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 142
16.6%
5 126
14.7%
0 114
13.3%
3 102
11.9%
7 91
10.6%
2 54
 
6.3%
4 53
 
6.2%
8 47
 
5.5%
9 46
 
5.4%
6 41
 
4.8%

할인내용
Text

Distinct38
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-04-06T17:43:43.306413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length26
Mean length11.421053
Min length2

Characters and Unicode

Total characters868
Distinct characters110
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)38.2%

Sample

1st row무료
2nd row전체품목5%
3rd row목욕20%
4th row전체품목5%
5th row일부10%(요리만)
ValueCountFrequency (%)
전체품목 27
17.2%
10 26
16.6%
전체품목10 14
 
8.9%
5 11
 
7.0%
전품목 8
 
5.1%
수선제외 7
 
4.5%
전체품목5 4
 
2.5%
할인 4
 
2.5%
정비공임 3
 
1.9%
일부품목 2
 
1.3%
Other values (48) 51
32.5%
2024-04-06T17:43:44.189557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
14.6%
% 75
 
8.6%
품 62
 
7.1%
목 60
 
6.9%
0 59
 
6.8%
전 58
 
6.7%
1 49
 
5.6%
체 48
 
5.5%
) 22
 
2.5%
( 22
 
2.5%
Other values (100) 286
32.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 467
53.8%
Decimal Number 139
 
16.0%
Space Separator 127
 
14.6%
Other Punctuation 89
 
10.3%
Close Punctuation 22
 
2.5%
Open Punctuation 22
 
2.5%
Math Symbol 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
품 62
 
13.3%
목 60
 
12.8%
전 58
 
12.4%
체 48
 
10.3%
공 10
 
2.1%
제 10
 
2.1%
일 9
 
1.9%
비 9
 
1.9%
수 9
 
1.9%
외 8
 
1.7%
Other values (87) 184
39.4%
Decimal Number
ValueCountFrequency (%)
0 59
42.4%
1 49
35.3%
5 20
 
14.4%
2 7
 
5.0%
3 3
 
2.2%
4 1
 
0.7%
Other Punctuation
ValueCountFrequency (%)
% 75
84.3%
, 14
 
15.7%
Space Separator
ValueCountFrequency (%)
127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 467
53.8%
Common 401
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
품 62
 
13.3%
목 60
 
12.8%
전 58
 
12.4%
체 48
 
10.3%
공 10
 
2.1%
제 10
 
2.1%
일 9
 
1.9%
비 9
 
1.9%
수 9
 
1.9%
외 8
 
1.7%
Other values (87) 184
39.4%
Common
ValueCountFrequency (%)
127
31.7%
% 75
18.7%
0 59
14.7%
1 49
 
12.2%
) 22
 
5.5%
( 22
 
5.5%
5 20
 
5.0%
, 14
 
3.5%
2 7
 
1.7%
3 3
 
0.7%
Other values (3) 3
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 467
53.8%
ASCII 401
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
31.7%
% 75
18.7%
0 59
14.7%
1 49
 
12.2%
) 22
 
5.5%
( 22
 
5.5%
5 20
 
5.0%
, 14
 
3.5%
2 7
 
1.7%
3 3
 
0.7%
Other values (3) 3
 
0.7%
Hangul
ValueCountFrequency (%)
품 62
 
13.3%
목 60
 
12.8%
전 58
 
12.4%
체 48
 
10.3%
공 10
 
2.1%
제 10
 
2.1%
일 9
 
1.9%
비 9
 
1.9%
수 9
 
1.9%
외 8
 
1.7%
Other values (87) 184
39.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2024-03-25 00:00:00
Maximum2024-03-25 00:00:00
2024-04-06T17:43:44.466496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:43:44.707569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:43:34.998377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:43:44.964334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번가맹점명분류주소전화번호할인내용
연번1.0001.0000.6681.0001.0000.875
가맹점명1.0001.0001.0001.0001.0001.000
분류0.6681.0001.0001.0001.0000.941
주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
할인내용0.8751.0000.9411.0001.0001.000
2024-04-06T17:43:45.494073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분류
연번1.0000.282
분류0.2821.000

Missing values

2024-04-06T17:43:35.386161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:43:35.753450image/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
01국립대구박물관박물관대구광역시 수성구 청호로 321(황금동)053-768-6051무료2024-03-25
12해피플라워꽃집대구광역시 수성구 달구벌대로 2370(범어동)053-742-5223전체품목5%2024-03-25
23시티월드사우나대중목욕탕대구광역시 수성구 지범로 183(지산동)053-784-8866목욕20%2024-03-25
34환희정음식점대구광역시 수성구 공경로 49(만촌동)053-753-0296전체품목5%2024-03-25
45안동촌잉어찜매운탕음식점대구광역시 수성구 범어로 198(범어동)053-752-2588일부10%(요리만)2024-03-25
56고향한우촌음식점대구광역시 수성구 청호로 96길 41(만촌동)053-753-5212전체품목5%2024-03-25
67헤어사랑미용업대구광역시 수성구 효행로2길 68(만촌동)053-959-1706전체품목10%2024-03-25
78마야미용실미용업대구광역시 수성구 청솔로 16(황금동)053-763-1754전체품목10%2024-03-25
89샛별미용실미용업대구광역시 수성구 신천동로96길 15(수성동 4가)053-752-3258전체품목10%2024-03-25
910시니헤어미용업대구광역시 수성구 범어로 75, 103동 105호(범어동, 범어에스케이뷰아파트1단지)053-761-1521전체품목10%2024-03-25
연번가맹점명분류주소전화번호할인내용데이터기준일자
6667수민아뜰리에. 베이커리음식점대구광역시 수성구 노변공원로 71(노변동)<NA>전품목 10%2024-03-25
6768JJ댄스스쿨 지산범물지부(댄스)학원대구광역시 수성구 용학로 293(지산동)053-781-9800전품목 10%2024-03-25
6869네네치킨 범물점음식점대구광역시 수성구 지범로 290, 119동 102호(범물동, 우방미진아파트)053-784-4479전품목 10%2024-03-25
6970예뻐지는 시간미용업대구광역시 수성구 수성로 112-9, 1층(상동)0507-1322-9028전체품목 5~10% 할인2024-03-25
7071전설의 숯불고기음식점대구광역시 수성구 유니버시아드로 140, B1동 7호053-222-6464일부품목 5%2024-03-25
7172쭈꾸미낙지볶음전문점 대성음식점업대구광역시 수성구 달구벌대로 2637, 1층(만촌동)053-746-9288기타서비스(세트메뉴 주문시, 피자 혹은 도토리전 서비스)2024-03-25
7273골든벨 어린이서점서점대구광역시 수성구 달구벌대로 2353 삼구빌딩 2층 201호053-295-3399전품목 10%2024-03-25
7374박물관 휴르서비스업 (박물관운영업)대구광역시 수성구 국채보상로186길 47(범어동)053-759-3902전체품목 5% 할인2024-03-25
7475하늘비요소매업 (도예도자기)대구광역시 수성구 국채보상로 965-1, 1층(만촌동)<NA>일부품목 10% 할인(원데이클래스)2024-03-25
7576참하제음식점업,제조업,소매업 (한식,삭품제조업 등)대구광역시 수성구 화랑로2길 106(만촌동)053-742-4455기타 서비스 제공(음료수 또는 사리)2024-03-25