Overview

Dataset statistics

Number of variables7
Number of observations276
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory58.5 B

Variable types

Numeric2
Categorical2
Text3

Dataset

Description경상북도 안동시 전체에 위치한 카페 리스트로 카페 업소명, 도로명, 지번, 영업장 면적 등에 대한 정보를 제공합니다.
Author경상북도 안동시
URLhttps://www.data.go.kr/data/15127452/fileData.do

Alerts

업종명 has constant value ""Constant
업태명 has constant value ""Constant
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:38:07.075418
Analysis finished2024-04-06 08:38:10.269535
Duration3.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct276
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.5
Minimum1
Maximum276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T17:38:10.634698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.75
Q169.75
median138.5
Q3207.25
95-th percentile262.25
Maximum276
Range275
Interquartile range (IQR)137.5

Descriptive statistics

Standard deviation79.818544
Coefficient of variation (CV)0.57630718
Kurtosis-1.2
Mean138.5
Median Absolute Deviation (MAD)69
Skewness0
Sum38226
Variance6371
MonotonicityStrictly increasing
2024-04-06T17:38:11.118601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
184 1
 
0.4%
190 1
 
0.4%
189 1
 
0.4%
188 1
 
0.4%
187 1
 
0.4%
186 1
 
0.4%
185 1
 
0.4%
183 1
 
0.4%
175 1
 
0.4%
Other values (266) 266
96.4%
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 (%)
276 1
0.4%
275 1
0.4%
274 1
0.4%
273 1
0.4%
272 1
0.4%
271 1
0.4%
270 1
0.4%
269 1
0.4%
268 1
0.4%
267 1
0.4%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
휴게음식점
276 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 276
100.0%

Length

2024-04-06T17:38:11.534658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:38:11.805709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 276
100.0%

업소명
Text

Distinct275
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-06T17:38:12.643079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.9347826
Min length2

Characters and Unicode

Total characters2190
Distinct characters386
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

Unique274 ?
Unique (%)99.3%

Sample

1st row두리원
2nd row이디야
3rd row커피니 안동CGV점
4th row예당
5th row맥스웰하우스
ValueCountFrequency (%)
안동점 11
 
2.7%
경북도청점 8
 
2.0%
안동옥동점 8
 
2.0%
카페 7
 
1.7%
투썸플레이스 5
 
1.2%
이디야커피 5
 
1.2%
스타벅스 5
 
1.2%
봄봄 3
 
0.7%
옥동점 3
 
0.7%
메가엠지씨커피 3
 
0.7%
Other values (321) 344
85.6%
2024-04-06T17:38:13.962111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
126
 
5.8%
동 77
 
3.5%
점 73
 
3.3%
페 68
 
3.1%
피 66
 
3.0%
안 64
 
2.9%
커 64
 
2.9%
카 63
 
2.9%
스 49
 
2.2%
( 42
 
1.9%
Other values (376) 1498
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1624
74.2%
Uppercase Letter 179
 
8.2%
Lowercase Letter 137
 
6.3%
Space Separator 126
 
5.8%
Open Punctuation 42
 
1.9%
Close Punctuation 42
 
1.9%
Decimal Number 30
 
1.4%
Other Punctuation 8
 
0.4%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 77
 
4.7%
점 73
 
4.5%
페 68
 
4.2%
피 66
 
4.1%
안 64
 
3.9%
커 64
 
3.9%
카 63
 
3.9%
스 49
 
3.0%
이 41
 
2.5%
리 35
 
2.2%
Other values (315) 1024
63.1%
Uppercase Letter
ValueCountFrequency (%)
E 26
14.5%
C 16
 
8.9%
A 14
 
7.8%
O 14
 
7.8%
L 12
 
6.7%
F 10
 
5.6%
S 9
 
5.0%
D 9
 
5.0%
T 9
 
5.0%
K 8
 
4.5%
Other values (13) 52
29.1%
Lowercase Letter
ValueCountFrequency (%)
e 22
16.1%
a 20
14.6%
i 10
 
7.3%
f 10
 
7.3%
l 9
 
6.6%
c 9
 
6.6%
t 8
 
5.8%
s 7
 
5.1%
r 7
 
5.1%
n 6
 
4.4%
Other values (11) 29
21.2%
Decimal Number
ValueCountFrequency (%)
2 10
33.3%
1 4
 
13.3%
0 4
 
13.3%
4 3
 
10.0%
3 3
 
10.0%
7 2
 
6.7%
9 2
 
6.7%
5 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 4
50.0%
' 2
25.0%
& 2
25.0%
Space Separator
ValueCountFrequency (%)
126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1624
74.2%
Latin 316
 
14.4%
Common 250
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 77
 
4.7%
점 73
 
4.5%
페 68
 
4.2%
피 66
 
4.1%
안 64
 
3.9%
커 64
 
3.9%
카 63
 
3.9%
스 49
 
3.0%
이 41
 
2.5%
리 35
 
2.2%
Other values (315) 1024
63.1%
Latin
ValueCountFrequency (%)
E 26
 
8.2%
e 22
 
7.0%
a 20
 
6.3%
C 16
 
5.1%
A 14
 
4.4%
O 14
 
4.4%
L 12
 
3.8%
F 10
 
3.2%
i 10
 
3.2%
f 10
 
3.2%
Other values (34) 162
51.3%
Common
ValueCountFrequency (%)
126
50.4%
( 42
 
16.8%
) 42
 
16.8%
2 10
 
4.0%
1 4
 
1.6%
, 4
 
1.6%
0 4
 
1.6%
4 3
 
1.2%
3 3
 
1.2%
7 2
 
0.8%
Other values (7) 10
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1623
74.1%
ASCII 566
 
25.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
126
22.3%
( 42
 
7.4%
) 42
 
7.4%
E 26
 
4.6%
e 22
 
3.9%
a 20
 
3.5%
C 16
 
2.8%
A 14
 
2.5%
O 14
 
2.5%
L 12
 
2.1%
Other values (51) 232
41.0%
Hangul
ValueCountFrequency (%)
동 77
 
4.7%
점 73
 
4.5%
페 68
 
4.2%
피 66
 
4.1%
안 64
 
3.9%
커 64
 
3.9%
카 63
 
3.9%
스 49
 
3.0%
이 41
 
2.5%
리 35
 
2.2%
Other values (314) 1023
63.0%
Compat Jamo
ValueCountFrequency (%)
ㅎ 1
100.0%

소재지(도로명)
Text

UNIQUE 

Distinct276
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-06T17:38:15.044273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length27.934783
Min length20

Characters and Unicode

Total characters7710
Distinct characters213
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique276 ?
Unique (%)100.0%

Sample

1st row경상북도 안동시 육사로 267, 1층 (운흥동)
2nd row경상북도 안동시 서동문로 181-1 (삼산동)
3rd row경상북도 안동시 경동로 841, CGV안동 3층 (용상동)
4th row경상북도 안동시 축제장길 66 (안흥동)
5th row경상북도 안동시 경동로 130 (송현동,외 20필지 안동터미널 104호)
ValueCountFrequency (%)
경상북도 276
 
16.1%
안동시 276
 
16.1%
1층 185
 
10.8%
옥동 40
 
2.3%
풍천면 30
 
1.7%
경동로 23
 
1.3%
용상동 23
 
1.3%
2층 20
 
1.2%
태화동 16
 
0.9%
서동문로 16
 
0.9%
Other values (475) 813
47.3%
2024-04-06T17:38:16.659532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1442
18.7%
동 575
 
7.5%
1 440
 
5.7%
상 316
 
4.1%
경 315
 
4.1%
북 309
 
4.0%
안 302
 
3.9%
도 287
 
3.7%
시 282
 
3.7%
, 265
 
3.4%
Other values (203) 3177
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4237
55.0%
Space Separator 1442
 
18.7%
Decimal Number 1225
 
15.9%
Other Punctuation 265
 
3.4%
Close Punctuation 220
 
2.9%
Open Punctuation 220
 
2.9%
Dash Punctuation 83
 
1.1%
Uppercase Letter 14
 
0.2%
Math Symbol 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 575
13.6%
상 316
 
7.5%
경 315
 
7.4%
북 309
 
7.3%
안 302
 
7.1%
도 287
 
6.8%
시 282
 
6.7%
층 231
 
5.5%
로 142
 
3.4%
길 136
 
3.2%
Other values (177) 1342
31.7%
Decimal Number
ValueCountFrequency (%)
1 440
35.9%
2 165
 
13.5%
3 102
 
8.3%
5 89
 
7.3%
4 87
 
7.1%
0 86
 
7.0%
8 71
 
5.8%
6 67
 
5.5%
7 61
 
5.0%
9 57
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
B 4
28.6%
C 2
14.3%
V 1
 
7.1%
S 1
 
7.1%
K 1
 
7.1%
H 1
 
7.1%
N 1
 
7.1%
Q 1
 
7.1%
A 1
 
7.1%
G 1
 
7.1%
Space Separator
ValueCountFrequency (%)
1442
100.0%
Other Punctuation
ValueCountFrequency (%)
, 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 220
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 83
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4237
55.0%
Common 3459
44.9%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 575
13.6%
상 316
 
7.5%
경 315
 
7.4%
북 309
 
7.3%
안 302
 
7.1%
도 287
 
6.8%
시 282
 
6.7%
층 231
 
5.5%
로 142
 
3.4%
길 136
 
3.2%
Other values (177) 1342
31.7%
Common
ValueCountFrequency (%)
1442
41.7%
1 440
 
12.7%
, 265
 
7.7%
) 220
 
6.4%
( 220
 
6.4%
2 165
 
4.8%
3 102
 
2.9%
5 89
 
2.6%
4 87
 
2.5%
0 86
 
2.5%
Other values (6) 343
 
9.9%
Latin
ValueCountFrequency (%)
B 4
28.6%
C 2
14.3%
V 1
 
7.1%
S 1
 
7.1%
K 1
 
7.1%
H 1
 
7.1%
N 1
 
7.1%
Q 1
 
7.1%
A 1
 
7.1%
G 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4237
55.0%
ASCII 3473
45.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1442
41.5%
1 440
 
12.7%
, 265
 
7.6%
) 220
 
6.3%
( 220
 
6.3%
2 165
 
4.8%
3 102
 
2.9%
5 89
 
2.6%
4 87
 
2.5%
0 86
 
2.5%
Other values (16) 357
 
10.3%
Hangul
ValueCountFrequency (%)
동 575
13.6%
상 316
 
7.5%
경 315
 
7.4%
북 309
 
7.3%
안 302
 
7.1%
도 287
 
6.8%
시 282
 
6.7%
층 231
 
5.5%
로 142
 
3.4%
길 136
 
3.2%
Other values (177) 1342
31.7%

소재지(지번)
Text

Distinct271
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-06T17:38:17.787463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length33
Mean length21.086957
Min length16

Characters and Unicode

Total characters5820
Distinct characters164
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique266 ?
Unique (%)96.4%

Sample

1st row경상북도 안동시 운흥동 300-7 1층
2nd row경상북도 안동시 삼산동 58-8 1,2층
3rd row경상북도 안동시 용상동 1426-1 CGV안동
4th row경상북도 안동시 안흥동 373-4
5th row경상북도 안동시 송현동 713-6 외 20필지 안동터미널 104호
ValueCountFrequency (%)
경상북도 276
22.0%
안동시 276
22.0%
옥동 40
 
3.2%
풍천면 30
 
2.4%
갈전리 26
 
2.1%
1층 24
 
1.9%
용상동 23
 
1.8%
태화동 16
 
1.3%
성곡동 12
 
1.0%
정하동 12
 
1.0%
Other values (382) 517
41.3%
2024-04-06T17:38:19.473740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1245
21.4%
동 513
 
8.8%
상 311
 
5.3%
안 296
 
5.1%
1 291
 
5.0%
북 290
 
5.0%
도 285
 
4.9%
시 278
 
4.8%
경 276
 
4.7%
- 216
 
3.7%
Other values (154) 1819
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3130
53.8%
Space Separator 1245
 
21.4%
Decimal Number 1216
 
20.9%
Dash Punctuation 216
 
3.7%
Uppercase Letter 7
 
0.1%
Other Punctuation 2
 
< 0.1%
Math Symbol 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 513
16.4%
상 311
9.9%
안 296
9.5%
북 290
9.3%
도 285
 
9.1%
시 278
 
8.9%
경 276
 
8.8%
리 60
 
1.9%
면 52
 
1.7%
옥 47
 
1.5%
Other values (131) 722
23.1%
Decimal Number
ValueCountFrequency (%)
1 291
23.9%
2 137
11.3%
7 116
 
9.5%
3 112
 
9.2%
4 106
 
8.7%
8 101
 
8.3%
6 94
 
7.7%
5 93
 
7.6%
0 88
 
7.2%
9 78
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
Q 1
14.3%
V 1
14.3%
G 1
14.3%
C 1
14.3%
B 1
14.3%
Space Separator
ValueCountFrequency (%)
1245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 216
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3130
53.8%
Common 2683
46.1%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 513
16.4%
상 311
9.9%
안 296
9.5%
북 290
9.3%
도 285
 
9.1%
시 278
 
8.9%
경 276
 
8.8%
리 60
 
1.9%
면 52
 
1.7%
옥 47
 
1.5%
Other values (131) 722
23.1%
Common
ValueCountFrequency (%)
1245
46.4%
1 291
 
10.8%
- 216
 
8.1%
2 137
 
5.1%
7 116
 
4.3%
3 112
 
4.2%
4 106
 
4.0%
8 101
 
3.8%
6 94
 
3.5%
5 93
 
3.5%
Other values (6) 172
 
6.4%
Latin
ValueCountFrequency (%)
K 1
14.3%
S 1
14.3%
Q 1
14.3%
V 1
14.3%
G 1
14.3%
C 1
14.3%
B 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3130
53.8%
ASCII 2690
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1245
46.3%
1 291
 
10.8%
- 216
 
8.0%
2 137
 
5.1%
7 116
 
4.3%
3 112
 
4.2%
4 106
 
3.9%
8 101
 
3.8%
6 94
 
3.5%
5 93
 
3.5%
Other values (13) 179
 
6.7%
Hangul
ValueCountFrequency (%)
동 513
16.4%
상 311
9.9%
안 296
9.5%
북 290
9.3%
도 285
 
9.1%
시 278
 
8.9%
경 276
 
8.8%
리 60
 
1.9%
면 52
 
1.7%
옥 47
 
1.5%
Other values (131) 722
23.1%

영업장면적
Real number (ℝ)

Distinct273
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean86.953841
Minimum3.4
Maximum610.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T17:38:19.876734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile16.84
Q133.8775
median63.22
Q399.245
95-th percentile276.0975
Maximum610.52
Range607.12
Interquartile range (IQR)65.3675

Descriptive statistics

Standard deviation86.609974
Coefficient of variation (CV)0.99604542
Kurtosis8.5966371
Mean86.953841
Median Absolute Deviation (MAD)30.695
Skewness2.6262627
Sum23999.26
Variance7501.2877
MonotonicityNot monotonic
2024-04-06T17:38:20.297723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.0 2
 
0.7%
79.0 2
 
0.7%
33.0 2
 
0.7%
63.86 1
 
0.4%
246.1 1
 
0.4%
138.92 1
 
0.4%
439.43 1
 
0.4%
93.4 1
 
0.4%
88.79 1
 
0.4%
29.92 1
 
0.4%
Other values (263) 263
95.3%
ValueCountFrequency (%)
3.4 1
0.4%
5.5 1
0.4%
5.9 1
0.4%
6.63 1
0.4%
9.0 1
0.4%
10.8 1
0.4%
10.92 1
0.4%
11.03 1
0.4%
11.7 1
0.4%
11.9 1
0.4%
ValueCountFrequency (%)
610.52 1
0.4%
452.41 1
0.4%
439.43 1
0.4%
434.64 1
0.4%
392.0 1
0.4%
384.79 1
0.4%
379.76 1
0.4%
371.3 1
0.4%
335.52 1
0.4%
326.48 1
0.4%

업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
커피숍
276 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
커피숍 276
100.0%

Length

2024-04-06T17:38:20.619044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:38:20.892322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
커피숍 276
100.0%

Interactions

2024-04-06T17:38:09.031970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:08.376246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:09.308959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:38:08.705500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:38:21.036893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장면적
연번1.0000.158
영업장면적0.1581.000
2024-04-06T17:38:21.275179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업장면적
연번1.000-0.130
영업장면적-0.1301.000

Missing values

2024-04-06T17:38:09.727330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:38:10.092033image/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

연번업종명업소명소재지(도로명)소재지(지번)영업장면적업태명
01휴게음식점두리원경상북도 안동시 육사로 267, 1층 (운흥동)경상북도 안동시 운흥동 300-7 1층72.8커피숍
12휴게음식점이디야경상북도 안동시 서동문로 181-1 (삼산동)경상북도 안동시 삼산동 58-8 1,2층78.0커피숍
23휴게음식점커피니 안동CGV점경상북도 안동시 경동로 841, CGV안동 3층 (용상동)경상북도 안동시 용상동 1426-1 CGV안동97.8커피숍
34휴게음식점예당경상북도 안동시 축제장길 66 (안흥동)경상북도 안동시 안흥동 373-4145.92커피숍
45휴게음식점맥스웰하우스경상북도 안동시 경동로 130 (송현동,외 20필지 안동터미널 104호)경상북도 안동시 송현동 713-6 외 20필지 안동터미널 104호40.0커피숍
56휴게음식점로뎀나무경상북도 안동시 서동문로 127 (화성동)경상북도 안동시 화성동 151-2169.56커피숍
67휴게음식점이디야커피 안동옥동점경상북도 안동시 광명로 189 (옥동)경상북도 안동시 옥동 614-1567.3커피숍
78휴게음식점안동대학교북카페경상북도 안동시 경동로 1375, 중앙도서관동 1층 (송천동, 안동대학교)경상북도 안동시 송천동 388 안동대학교 중앙도서관1층동159.84커피숍
89휴게음식점드림카페경상북도 안동시 중평4길 43 (용상동, 용상제일교회)경상북도 안동시 용상동 1179-148 용상제일교회69.58커피숍
910휴게음식점홈플러스안동점 이디야커피경상북도 안동시 경동로 656, 1층 (운흥동)경상북도 안동시 운흥동 247-5897.32커피숍
연번업종명업소명소재지(도로명)소재지(지번)영업장면적업태명
266267휴게음식점하이지아경상북도 안동시 풍산읍 풍산중앙길 92, 1층 101호경상북도 안동시 풍산읍 안교리 138-663.66커피숍
267268휴게음식점메가엠지씨커피 안동옥동광명점경상북도 안동시 광명로 162, 1층 (옥동)경상북도 안동시 옥동 790-797.95커피숍
268269휴게음식점카우베 앤 찰칵경상북도 안동시 옹정골길 86, 1층 (정상동)경상북도 안동시 정상동 504-457.03커피숍
269270휴게음식점마실카페 개인취향경상북도 안동시 풍천면 지풍로 1346, 1층경상북도 안동시 풍천면 도양리 193-1122.72커피숍
270271휴게음식점노룰즈커피 시청점경상북도 안동시 퇴계로 106-1, 1층 (북문동)경상북도 안동시 북문동 23-443.5커피숍
271272휴게음식점짐이경상북도 안동시 경동로 844, 9층 (용상동)경상북도 안동시 용상동 1439-235.32커피숍
272273휴게음식점포레스트경상북도 안동시 합전길 6, 송현동우성아파트 상가동 1층 9호 (송현동)경상북도 안동시 송현동 288 송현동우성아파트17.33커피숍
273274휴게음식점픽업커피 안동점경상북도 안동시 중평4길 19, 1층 (용상동)경상북도 안동시 용상동 1179-35140.76커피숍
274275휴게음식점카페 도토리(CAFE DOTORI)경상북도 안동시 북후면 제비원로 726, 1층경상북도 안동시 북후면 오산리 610-160.0커피숍
275276휴게음식점요거트아이스크림의 정석경상북도 안동시 단원로 75, 103동 106호 (운안동, 메트로빌리지)경상북도 안동시 운안동 347-2 메트로빌리지39.6커피숍