Overview

Dataset statistics

Number of variables5
Number of observations3168
Missing cells0
Missing cells (%)0.0%
Duplicate rows424
Duplicate rows (%)13.4%
Total size in memory123.9 KiB
Average record size in memory40.0 B

Variable types

Categorical1
Text4

Dataset

Description대구광역시 서구 식품접객업 현황에 대한 데이터로 대구광역시 서구 식품접객업의 업종명, 업소명, 소재지, 우편번호, 기타 유의사항에 대한 정보를 제공합니다.(식품접객업 : 일반음식점, 휴게음식점, 제과점영업, 단란주점영업, 유흥주점영업, 위탁급식영업)
Author대구광역시 서구
URLhttps://www.data.go.kr/data/3081452/fileData.do

Alerts

Dataset has 424 (13.4%) duplicate rowsDuplicates
업종명 is highly imbalanced (63.6%)Imbalance

Reproduction

Analysis started2024-03-14 10:16:11.182665
Analysis finished2024-03-14 10:16:12.658734
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
일반음식점
2559 
휴게음식점
461 
유흥주점영업
 
75
단란주점
 
30
제과점영업
 
30

Length

Max length6
Median length5
Mean length5.0183081
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 2559
80.8%
휴게음식점 461
 
14.6%
유흥주점영업 75
 
2.4%
단란주점 30
 
0.9%
제과점영업 30
 
0.9%
위탁급식영업 13
 
0.4%

Length

2024-03-14T19:16:12.814764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:16:13.026978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 2559
80.8%
휴게음식점 461
 
14.6%
유흥주점영업 75
 
2.4%
단란주점 30
 
0.9%
제과점영업 30
 
0.9%
위탁급식영업 13
 
0.4%

업소명
Text

Distinct2602
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
2024-03-14T19:16:14.129909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length6.0366162
Min length1

Characters and Unicode

Total characters19124
Distinct characters792
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2114 ?
Unique (%)66.7%

Sample

1st row서대포소금구이
2nd row가야불고기식당
3rd row부산식당
4th row상주 추어탕
5th row쌍둥이정갈비
ValueCountFrequency (%)
평리점 18
 
0.5%
내당점 17
 
0.5%
세븐일레븐 14
 
0.4%
비산점 13
 
0.4%
의성식당 9
 
0.2%
씨유 8
 
0.2%
서구점 8
 
0.2%
아지트 6
 
0.2%
숯불갈비 6
 
0.2%
호식이두마리치킨 6
 
0.2%
Other values (2808) 3530
97.1%
2024-03-14T19:16:15.501797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 557
 
2.9%
식 539
 
2.8%
당 536
 
2.8%
467
 
2.4%
리 390
 
2.0%
이 380
 
2.0%
대 354
 
1.9%
구 340
 
1.8%
비 240
 
1.3%
스 227
 
1.2%
Other values (782) 15094
78.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17316
90.5%
Space Separator 467
 
2.4%
Uppercase Letter 428
 
2.2%
Decimal Number 271
 
1.4%
Lowercase Letter 255
 
1.3%
Open Punctuation 163
 
0.9%
Close Punctuation 163
 
0.9%
Other Punctuation 59
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 557
 
3.2%
식 539
 
3.1%
당 536
 
3.1%
리 390
 
2.3%
이 380
 
2.2%
대 354
 
2.0%
구 340
 
2.0%
비 240
 
1.4%
스 227
 
1.3%
국 179
 
1.0%
Other values (710) 13574
78.4%
Uppercase Letter
ValueCountFrequency (%)
S 50
 
11.7%
C 43
 
10.0%
G 37
 
8.6%
O 29
 
6.8%
A 27
 
6.3%
E 22
 
5.1%
T 21
 
4.9%
P 21
 
4.9%
I 20
 
4.7%
U 18
 
4.2%
Other values (16) 140
32.7%
Lowercase Letter
ValueCountFrequency (%)
e 35
13.7%
a 27
10.6%
o 24
 
9.4%
i 22
 
8.6%
f 20
 
7.8%
n 18
 
7.1%
c 15
 
5.9%
s 13
 
5.1%
g 11
 
4.3%
l 9
 
3.5%
Other values (13) 61
23.9%
Decimal Number
ValueCountFrequency (%)
2 57
21.0%
5 49
18.1%
0 40
14.8%
1 30
11.1%
3 28
10.3%
9 17
 
6.3%
8 13
 
4.8%
6 13
 
4.8%
4 12
 
4.4%
7 12
 
4.4%
Other Punctuation
ValueCountFrequency (%)
& 37
62.7%
, 7
 
11.9%
' 7
 
11.9%
. 3
 
5.1%
/ 2
 
3.4%
# 1
 
1.7%
· 1
 
1.7%
? 1
 
1.7%
Math Symbol
ValueCountFrequency (%)
> 1
50.0%
< 1
50.0%
Space Separator
ValueCountFrequency (%)
467
100.0%
Open Punctuation
ValueCountFrequency (%)
( 163
100.0%
Close Punctuation
ValueCountFrequency (%)
) 163
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17311
90.5%
Common 1125
 
5.9%
Latin 683
 
3.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 557
 
3.2%
식 539
 
3.1%
당 536
 
3.1%
리 390
 
2.3%
이 380
 
2.2%
대 354
 
2.0%
구 340
 
2.0%
비 240
 
1.4%
스 227
 
1.3%
국 179
 
1.0%
Other values (705) 13569
78.4%
Latin
ValueCountFrequency (%)
S 50
 
7.3%
C 43
 
6.3%
G 37
 
5.4%
e 35
 
5.1%
O 29
 
4.2%
a 27
 
4.0%
A 27
 
4.0%
o 24
 
3.5%
i 22
 
3.2%
E 22
 
3.2%
Other values (39) 367
53.7%
Common
ValueCountFrequency (%)
467
41.5%
( 163
 
14.5%
) 163
 
14.5%
2 57
 
5.1%
5 49
 
4.4%
0 40
 
3.6%
& 37
 
3.3%
1 30
 
2.7%
3 28
 
2.5%
9 17
 
1.5%
Other values (13) 74
 
6.6%
Han
ValueCountFrequency (%)
安 1
20.0%
鷄 1
20.0%
福 1
20.0%
光 1
20.0%
新 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17311
90.5%
ASCII 1807
 
9.4%
CJK 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 557
 
3.2%
식 539
 
3.1%
당 536
 
3.1%
리 390
 
2.3%
이 380
 
2.2%
대 354
 
2.0%
구 340
 
2.0%
비 240
 
1.4%
스 227
 
1.3%
국 179
 
1.0%
Other values (705) 13569
78.4%
ASCII
ValueCountFrequency (%)
467
25.8%
( 163
 
9.0%
) 163
 
9.0%
2 57
 
3.2%
S 50
 
2.8%
5 49
 
2.7%
C 43
 
2.4%
0 40
 
2.2%
G 37
 
2.0%
& 37
 
2.0%
Other values (61) 701
38.8%
CJK
ValueCountFrequency (%)
安 1
20.0%
鷄 1
20.0%
福 1
20.0%
光 1
20.0%
新 1
20.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct2474
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
2024-03-14T19:16:16.787498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length50
Mean length26.93529
Min length9

Characters and Unicode

Total characters85331
Distinct characters186
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

Unique1930 ?
Unique (%)60.9%

Sample

1st row대구광역시 서구 달서로 103 (비산동)
2nd row대구광역시 서구 팔달로 230 (원대동3가)
3rd row대구광역시 서구 통학로23길 23-1 (평리동)
4th row대구광역시 서구 달서천로53길 49-1 (비산동)
5th row대구광역시 서구 국채보상로 195 (평리동)
ValueCountFrequency (%)
대구광역시 3166
17.9%
서구 3166
17.9%
비산동 1063
 
6.0%
1층 1057
 
6.0%
평리동 952
 
5.4%
내당동 641
 
3.6%
서대구로 275
 
1.6%
중리동 225
 
1.3%
달서로 189
 
1.1%
국채보상로 170
 
1.0%
Other values (1297) 6743
38.2%
2024-03-14T19:16:18.667442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14481
17.0%
구 7221
 
8.5%
서 4392
 
5.1%
대 4242
 
5.0%
1 3461
 
4.1%
동 3308
 
3.9%
역 3184
 
3.7%
광 3180
 
3.7%
( 3172
 
3.7%
) 3172
 
3.7%
Other values (176) 35518
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48564
56.9%
Space Separator 14481
 
17.0%
Decimal Number 13667
 
16.0%
Open Punctuation 3172
 
3.7%
Close Punctuation 3172
 
3.7%
Other Punctuation 1531
 
1.8%
Dash Punctuation 669
 
0.8%
Uppercase Letter 66
 
0.1%
Math Symbol 5
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7221
14.9%
서 4392
 
9.0%
대 4242
 
8.7%
동 3308
 
6.8%
역 3184
 
6.6%
광 3180
 
6.5%
시 3170
 
6.5%
로 3161
 
6.5%
길 1698
 
3.5%
리 1504
 
3.1%
Other values (144) 13504
27.8%
Uppercase Letter
ValueCountFrequency (%)
B 18
27.3%
A 13
19.7%
E 8
12.1%
C 7
 
10.6%
T 4
 
6.1%
X 4
 
6.1%
K 4
 
6.1%
D 2
 
3.0%
R 2
 
3.0%
P 2
 
3.0%
Decimal Number
ValueCountFrequency (%)
1 3461
25.3%
2 1986
14.5%
3 1683
12.3%
5 1157
 
8.5%
4 1154
 
8.4%
6 1150
 
8.4%
7 933
 
6.8%
0 778
 
5.7%
9 688
 
5.0%
8 677
 
5.0%
Math Symbol
ValueCountFrequency (%)
< 2
40.0%
> 2
40.0%
~ 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1529
99.9%
. 2
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
a 2
50.0%
e 2
50.0%
Space Separator
ValueCountFrequency (%)
14481
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 669
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48564
56.9%
Common 36697
43.0%
Latin 70
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7221
14.9%
서 4392
 
9.0%
대 4242
 
8.7%
동 3308
 
6.8%
역 3184
 
6.6%
광 3180
 
6.5%
시 3170
 
6.5%
로 3161
 
6.5%
길 1698
 
3.5%
리 1504
 
3.1%
Other values (144) 13504
27.8%
Common
ValueCountFrequency (%)
14481
39.5%
1 3461
 
9.4%
( 3172
 
8.6%
) 3172
 
8.6%
2 1986
 
5.4%
3 1683
 
4.6%
, 1529
 
4.2%
5 1157
 
3.2%
4 1154
 
3.1%
6 1150
 
3.1%
Other values (9) 3752
 
10.2%
Latin
ValueCountFrequency (%)
B 18
25.7%
A 13
18.6%
E 8
11.4%
C 7
 
10.0%
T 4
 
5.7%
X 4
 
5.7%
K 4
 
5.7%
D 2
 
2.9%
a 2
 
2.9%
e 2
 
2.9%
Other values (3) 6
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48564
56.9%
ASCII 36767
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14481
39.4%
1 3461
 
9.4%
( 3172
 
8.6%
) 3172
 
8.6%
2 1986
 
5.4%
3 1683
 
4.6%
, 1529
 
4.2%
5 1157
 
3.1%
4 1154
 
3.1%
6 1150
 
3.1%
Other values (22) 3822
 
10.4%
Hangul
ValueCountFrequency (%)
구 7221
14.9%
서 4392
 
9.0%
대 4242
 
8.7%
동 3308
 
6.8%
역 3184
 
6.6%
광 3180
 
6.5%
시 3170
 
6.5%
로 3161
 
6.5%
길 1698
 
3.5%
리 1504
 
3.1%
Other values (144) 13504
27.8%

소재지(지번)
Text

Distinct2187
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
2024-03-14T19:16:20.153572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length48
Mean length20.675505
Min length16

Characters and Unicode

Total characters65500
Distinct characters153
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

Unique1522 ?
Unique (%)48.0%

Sample

1st row대구광역시 서구 비산동 328-4
2nd row대구광역시 서구 원대동3가 1328-2
3rd row대구광역시 서구 평리동 1215-21
4th row대구광역시 서구 비산동 1309-4
5th row대구광역시 서구 평리동 1526-18
ValueCountFrequency (%)
대구광역시 3168
24.1%
서구 3168
24.1%
비산동 1080
 
8.2%
평리동 968
 
7.4%
내당동 657
 
5.0%
중리동 229
 
1.7%
원대동3가 88
 
0.7%
이현동 60
 
0.5%
원대동1가 53
 
0.4%
1층 46
 
0.4%
Other values (2248) 3607
27.5%
2024-03-14T19:16:22.013235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13076
20.0%
구 6382
 
9.7%
1 3844
 
5.9%
대 3374
 
5.2%
동 3222
 
4.9%
서 3216
 
4.9%
역 3186
 
4.9%
광 3182
 
4.9%
시 3173
 
4.8%
- 3012
 
4.6%
Other values (143) 19833
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33193
50.7%
Decimal Number 16040
24.5%
Space Separator 13076
 
20.0%
Dash Punctuation 3012
 
4.6%
Other Punctuation 74
 
0.1%
Close Punctuation 33
 
0.1%
Open Punctuation 33
 
0.1%
Uppercase Letter 33
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 6382
19.2%
대 3374
10.2%
동 3222
9.7%
서 3216
9.7%
역 3186
9.6%
광 3182
9.6%
시 3173
9.6%
리 1243
 
3.7%
산 1086
 
3.3%
비 1084
 
3.3%
Other values (117) 4045
12.2%
Decimal Number
ValueCountFrequency (%)
1 3844
24.0%
2 2087
13.0%
3 1852
11.5%
4 1694
10.6%
0 1225
 
7.6%
6 1209
 
7.5%
5 1173
 
7.3%
8 1058
 
6.6%
9 970
 
6.0%
7 928
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
A 7
21.2%
B 6
18.2%
C 5
15.2%
X 4
12.1%
K 4
12.1%
T 4
12.1%
E 3
9.1%
Other Punctuation
ValueCountFrequency (%)
, 73
98.6%
. 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
e 2
50.0%
a 2
50.0%
Space Separator
ValueCountFrequency (%)
13076
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3012
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33193
50.7%
Common 32270
49.3%
Latin 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 6382
19.2%
대 3374
10.2%
동 3222
9.7%
서 3216
9.7%
역 3186
9.6%
광 3182
9.6%
시 3173
9.6%
리 1243
 
3.7%
산 1086
 
3.3%
비 1084
 
3.3%
Other values (117) 4045
12.2%
Common
ValueCountFrequency (%)
13076
40.5%
1 3844
 
11.9%
- 3012
 
9.3%
2 2087
 
6.5%
3 1852
 
5.7%
4 1694
 
5.2%
0 1225
 
3.8%
6 1209
 
3.7%
5 1173
 
3.6%
8 1058
 
3.3%
Other values (7) 2040
 
6.3%
Latin
ValueCountFrequency (%)
A 7
18.9%
B 6
16.2%
C 5
13.5%
X 4
10.8%
K 4
10.8%
T 4
10.8%
E 3
8.1%
e 2
 
5.4%
a 2
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33193
50.7%
ASCII 32307
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13076
40.5%
1 3844
 
11.9%
- 3012
 
9.3%
2 2087
 
6.5%
3 1852
 
5.7%
4 1694
 
5.2%
0 1225
 
3.8%
6 1209
 
3.7%
5 1173
 
3.6%
8 1058
 
3.3%
Other values (16) 2077
 
6.4%
Hangul
ValueCountFrequency (%)
구 6382
19.2%
대 3374
10.2%
동 3222
9.7%
서 3216
9.7%
역 3186
9.6%
광 3182
9.6%
시 3173
9.6%
리 1243
 
3.7%
산 1086
 
3.3%
비 1084
 
3.3%
Other values (117) 4045
12.2%

우편번호(도로명)
Text

Distinct166
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size24.9 KiB
2024-03-14T19:16:23.591927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.9381313
Min length1

Characters and Unicode

Total characters15644
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

Unique4 ?
Unique (%)0.1%

Sample

1st row41815
2nd row
3rd row41825
4th row41722
5th row41766
ValueCountFrequency (%)
41798 79
 
2.5%
41713 73
 
2.3%
41863 65
 
2.1%
41843 61
 
2.0%
41777 60
 
1.9%
41824 60
 
1.9%
41825 59
 
1.9%
41847 55
 
1.8%
41855 54
 
1.7%
41851 51
 
1.6%
Other values (155) 2502
80.2%
2024-03-14T19:16:25.487987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 3879
24.8%
4 3855
24.6%
7 2284
14.6%
8 1864
11.9%
2 776
 
5.0%
3 714
 
4.6%
5 686
 
4.4%
6 578
 
3.7%
9 509
 
3.3%
0 450
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15595
99.7%
Space Separator 49
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3879
24.9%
4 3855
24.7%
7 2284
14.6%
8 1864
12.0%
2 776
 
5.0%
3 714
 
4.6%
5 686
 
4.4%
6 578
 
3.7%
9 509
 
3.3%
0 450
 
2.9%
Space Separator
ValueCountFrequency (%)
49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 3879
24.8%
4 3855
24.6%
7 2284
14.6%
8 1864
11.9%
2 776
 
5.0%
3 714
 
4.6%
5 686
 
4.4%
6 578
 
3.7%
9 509
 
3.3%
0 450
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 3879
24.8%
4 3855
24.6%
7 2284
14.6%
8 1864
11.9%
2 776
 
5.0%
3 714
 
4.6%
5 686
 
4.4%
6 578
 
3.7%
9 509
 
3.3%
0 450
 
2.9%

Missing values

2024-03-14T19:16:12.188251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:16:12.519652image/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

업종명업소명소재지(도로명)소재지(지번)우편번호(도로명)
0일반음식점서대포소금구이대구광역시 서구 달서로 103 (비산동)대구광역시 서구 비산동 328-441815
1일반음식점가야불고기식당대구광역시 서구 팔달로 230 (원대동3가)대구광역시 서구 원대동3가 1328-2
2일반음식점부산식당대구광역시 서구 통학로23길 23-1 (평리동)대구광역시 서구 평리동 1215-2141825
3일반음식점상주 추어탕대구광역시 서구 달서천로53길 49-1 (비산동)대구광역시 서구 비산동 1309-441722
4일반음식점쌍둥이정갈비대구광역시 서구 국채보상로 195 (평리동)대구광역시 서구 평리동 1526-1841766
5일반음식점홍도능이백숙전문점대구광역시 서구 달서천로 345 (비산동,,8)대구광역시 서구 비산동 1097-4 ,841717
6일반음식점밤고개식당대구광역시 서구 평리로35길 32-10 (중리동)대구광역시 서구 중리동 1136-3241843
7일반음식점의성식당대구광역시 서구 달서천로83길 30 (원대동2가)대구광역시 서구 원대동2가 192-541728
8일반음식점와룡기사식당대구광역시 서구 가르뱅이로9길 7 (상리동)대구광역시 서구 상리동 243-241750
9일반음식점김태순의 뚝배기이야기대구광역시 서구 달구벌대로329길 133 (중리동)대구광역시 서구 중리동 706-341846
업종명업소명소재지(도로명)소재지(지번)우편번호(도로명)
3158휴게음식점투썸플레이스 퀸스로드점대구광역시 서구 평리로35길 18-14, B동 1,2층 (중리동)대구광역시 서구 중리동 1136-16841843
3159휴게음식점카페봄봄중평점대구광역시 서구 서대구로 77, 105동 1층 106호 (평리동, 평리청구타운)대구광역시 서구 평리동 1408 평리청구타운41840
3160휴게음식점아이스타스튜디오카페대구광역시 서구 평리로35길 12, 1층 (중리동)대구광역시 서구 중리동 1136-9141843
3161휴게음식점사계절푸드대구광역시 서구 달서로4길 25, 1층 (내당동)대구광역시 서구 내당동 976-1341810
3162위탁급식영업(주)진주랑홈플러스내당점대구광역시 서구 달구벌대로 1821 (내당동)대구광역시 서구 내당동 65-841863
3163위탁급식영업세현푸드대구광역시 서구 염색공단천로 31 (비산동)대구광역시 서구 비산동 2005-4141702
3164제과점영업(주)신세계푸드베이커리비산점대구광역시 서구 팔달로 54 (비산동)대구광역시 서구 비산동 1610-341710
3165제과점영업빵굽는집대구광역시 서구 국채보상로34길 12, 129(상가)동 107호 (중리동, 중리롯데캐슬)대구광역시 서구 중리동 26-3 중리롯데캐슬 129동 107호41837
3166제과점영업하얀풍차대구광역시 서구 통학로46길 52 (비산동)대구광역시 서구 비산동 565-241745
3167제과점영업감미정대구광역시 서구 당산로 237, 1층 (내당동)대구광역시 서구 내당동 429-141847

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)소재지(지번)우편번호(도로명)# duplicates
422휴게음식점트레이더스 홀세일 클럽 비산점대구광역시 서구 팔달로 54 (비산동)대구광역시 서구 비산동 1610-3417105
0일반음식점3355포차대구광역시 서구 북비산로 291 (평리동)대구광역시 서구 평리동 655-20417472
1일반음식점365 감자탕대구광역시 서구 달구벌대로 1685 (내당동)대구광역시 서구 내당동 458-52418552
2일반음식점365 감자탕대구광역시 서구 달서로 31 (내당동)대구광역시 서구 내당동 901-1418692
3일반음식점3대갈비대구광역시 서구 서대구로2길 51 (내당동)대구광역시 서구 내당동 185-4418632
4일반음식점68갈비살대구광역시 서구 달서로15길 3 (비산동)대구광역시 서구 비산동 309-2418172
5일반음식점69통닭떡볶이대구광역시 서구 달서로 251 (비산동)대구광역시 서구 비산동 1192-35417172
6일반음식점7080포차포차대구광역시 서구 북비산로61길 4 (평리동)대구광역시 서구 평리동 763-1417452
7일반음식점900가 참숯뒷고기대구광역시 서구 서대구로68길 3 (비산동)대구광역시 서구 비산동 1210-13417152
8일반음식점since1980똘똘이무침회대구광역시 서구 달구벌대로375길 31 (내당동)대구광역시 서구 내당동 895-12418702