Overview

Dataset statistics

Number of variables8
Number of observations296
Missing cells6
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory64.4 B

Variable types

Categorical4
Text4

Dataset

Description대전광역시 착한업소의시군구, 업종, 업소명, 주소, 주요품목, 가격, 연락처 등의 현황이 파일에 올라가 있습니다.
Author대전광역시
URLhttps://www.data.go.kr/data/15073547/fileData.do

Alerts

시도 has constant value ""Constant
연락처 has 6 (2.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 11:56:45.413828
Analysis finished2023-12-12 11:56:46.318952
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
대전광역시
296 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대전광역시 296
100.0%

Length

2023-12-12T20:56:46.393887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:46.505588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 296
100.0%

시군구
Categorical

Distinct5
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
서구
95 
중구
58 
동구
57 
대덕구
46 
유성구
40 

Length

Max length3
Median length2
Mean length2.2905405
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 95
32.1%
중구 58
19.6%
동구 57
19.3%
대덕구 46
15.5%
유성구 40
13.5%

Length

2023-12-12T20:56:46.628329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T20:56:46.753325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 95
32.1%
중구 58
19.6%
동구 57
19.3%
대덕구 46
15.5%
유성구 40
13.5%

업종
Categorical

Distinct15
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
한식_일반
84 
이미용업
50 
한식_면류
37 
한식_육류
29 
한식_찌개류
28 
Other values (10)
68 

Length

Max length6
Median length5
Mean length4.5709459
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row기타양식
2nd row한식_육류
3rd row한식_육류
4th row한식_일반
5th row한식_일반

Common Values

ValueCountFrequency (%)
한식_일반 84
28.4%
이미용업 50
16.9%
한식_면류 37
12.5%
한식_육류 29
 
9.8%
한식_찌개류 28
 
9.5%
중식 26
 
8.8%
한식_분식 14
 
4.7%
세탁업 7
 
2.4%
기타양식 4
 
1.4%
기타서비스업 4
 
1.4%
Other values (5) 13
 
4.4%

Length

2023-12-12T20:56:46.929176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식_일반 84
28.4%
이미용업 50
16.9%
한식_면류 37
12.5%
한식_육류 29
 
9.8%
한식_찌개류 28
 
9.5%
중식 26
 
8.8%
한식_분식 14
 
4.7%
세탁업 7
 
2.4%
기타양식 4
 
1.4%
기타서비스업 4
 
1.4%
Other values (5) 13
 
4.4%

업소명
Text

Distinct289
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T20:56:47.255604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length5.4797297
Min length2

Characters and Unicode

Total characters1622
Distinct characters326
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

Unique282 ?
Unique (%)95.3%

Sample

1st row파절이치킨
2nd row돈하우스
3rd row가양돼지
4th row태평소국밥
5th row대동식당
ValueCountFrequency (%)
헤어코리아미용실 2
 
0.6%
김밥나라 2
 
0.6%
신도칼국수 2
 
0.6%
라면타임 2
 
0.6%
서울식당 2
 
0.6%
24시 2
 
0.6%
명성식당 2
 
0.6%
동큐칼국수 2
 
0.6%
탄방골참순대 2
 
0.6%
청주해장국 2
 
0.6%
Other values (296) 296
93.7%
2023-12-12T20:56:47.794052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 54
 
3.3%
수 52
 
3.2%
식 50
 
3.1%
당 47
 
2.9%
미 43
 
2.7%
용 35
 
2.2%
칼 32
 
2.0%
밥 29
 
1.8%
이 27
 
1.7%
리 26
 
1.6%
Other values (316) 1227
75.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1571
96.9%
Decimal Number 28
 
1.7%
Space Separator 20
 
1.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 54
 
3.4%
수 52
 
3.3%
식 50
 
3.2%
당 47
 
3.0%
미 43
 
2.7%
용 35
 
2.2%
칼 32
 
2.0%
밥 29
 
1.8%
이 27
 
1.7%
리 26
 
1.7%
Other values (304) 1176
74.9%
Decimal Number
ValueCountFrequency (%)
0 8
28.6%
2 5
17.9%
3 4
14.3%
1 3
 
10.7%
4 3
 
10.7%
9 3
 
10.7%
8 1
 
3.6%
7 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
33.3%
F 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1571
96.9%
Common 48
 
3.0%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 54
 
3.4%
수 52
 
3.3%
식 50
 
3.2%
당 47
 
3.0%
미 43
 
2.7%
용 35
 
2.2%
칼 32
 
2.0%
밥 29
 
1.8%
이 27
 
1.7%
리 26
 
1.7%
Other values (304) 1176
74.9%
Common
ValueCountFrequency (%)
20
41.7%
0 8
 
16.7%
2 5
 
10.4%
3 4
 
8.3%
1 3
 
6.2%
4 3
 
6.2%
9 3
 
6.2%
8 1
 
2.1%
7 1
 
2.1%
Latin
ValueCountFrequency (%)
T 1
33.3%
F 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1571
96.9%
ASCII 51
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 54
 
3.4%
수 52
 
3.3%
식 50
 
3.2%
당 47
 
3.0%
미 43
 
2.7%
용 35
 
2.2%
칼 32
 
2.0%
밥 29
 
1.8%
이 27
 
1.7%
리 26
 
1.7%
Other values (304) 1176
74.9%
ASCII
ValueCountFrequency (%)
20
39.2%
0 8
 
15.7%
2 5
 
9.8%
3 4
 
7.8%
1 3
 
5.9%
4 3
 
5.9%
9 3
 
5.9%
8 1
 
2.0%
7 1
 
2.0%
T 1
 
2.0%
Other values (2) 2
 
3.9%

주소
Text

Distinct294
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T20:56:48.348926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length32
Mean length21.682432
Min length14

Characters and Unicode

Total characters6418
Distinct characters152
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

Unique292 ?
Unique (%)98.6%

Sample

1st row대전광역시 동구 동서대로1748번길 154(가양동)
2nd row대전광역시 동구 동대전로131번길 8-16, 1층(자양동)
3rd row대전광역시 동구 동대전로284번길 117, 동신아파트 1동1층2호(가양동)
4th row대전광역시 동구 계족로140번길 91(용운동)
5th row대전광역시 동구 우안4길 2
ValueCountFrequency (%)
대전광역시 297
23.1%
서구 95
 
7.4%
중구 59
 
4.6%
동구 57
 
4.4%
대덕구 46
 
3.6%
유성구 40
 
3.1%
1층 17
 
1.3%
대전로 11
 
0.9%
유성대로 11
 
0.9%
13 7
 
0.5%
Other values (483) 645
50.2%
2023-12-12T20:56:49.051543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
 
15.4%
대 445
 
6.9%
전 321
 
5.0%
구 301
 
4.7%
역 298
 
4.6%
시 298
 
4.6%
1 298
 
4.6%
광 297
 
4.6%
로 273
 
4.3%
동 197
 
3.1%
Other values (142) 2701
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3906
60.9%
Decimal Number 1237
 
19.3%
Space Separator 989
 
15.4%
Close Punctuation 95
 
1.5%
Open Punctuation 95
 
1.5%
Dash Punctuation 48
 
0.7%
Other Punctuation 45
 
0.7%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 445
 
11.4%
전 321
 
8.2%
구 301
 
7.7%
역 298
 
7.6%
시 298
 
7.6%
광 297
 
7.6%
로 273
 
7.0%
동 197
 
5.0%
길 192
 
4.9%
번 170
 
4.4%
Other values (125) 1114
28.5%
Decimal Number
ValueCountFrequency (%)
1 298
24.1%
2 152
12.3%
3 117
 
9.5%
6 113
 
9.1%
5 109
 
8.8%
7 109
 
8.8%
4 103
 
8.3%
0 99
 
8.0%
8 74
 
6.0%
9 63
 
5.1%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
989
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3906
60.9%
Common 2509
39.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 445
 
11.4%
전 321
 
8.2%
구 301
 
7.7%
역 298
 
7.6%
시 298
 
7.6%
광 297
 
7.6%
로 273
 
7.0%
동 197
 
5.0%
길 192
 
4.9%
번 170
 
4.4%
Other values (125) 1114
28.5%
Common
ValueCountFrequency (%)
989
39.4%
1 298
 
11.9%
2 152
 
6.1%
3 117
 
4.7%
6 113
 
4.5%
5 109
 
4.3%
7 109
 
4.3%
4 103
 
4.1%
0 99
 
3.9%
) 95
 
3.8%
Other values (5) 325
 
13.0%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3906
60.9%
ASCII 2512
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
39.4%
1 298
 
11.9%
2 152
 
6.1%
3 117
 
4.7%
6 113
 
4.5%
5 109
 
4.3%
7 109
 
4.3%
4 103
 
4.1%
0 99
 
3.9%
) 95
 
3.8%
Other values (7) 328
 
13.1%
Hangul
ValueCountFrequency (%)
대 445
 
11.4%
전 321
 
8.2%
구 301
 
7.7%
역 298
 
7.6%
시 298
 
7.6%
광 297
 
7.6%
로 273
 
7.0%
동 197
 
5.0%
길 192
 
4.9%
번 170
 
4.4%
Other values (125) 1114
28.5%

주요품목
Text

Distinct128
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-12T20:56:49.364151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length3.7297297
Min length2

Characters and Unicode

Total characters1104
Distinct characters188
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

Unique85 ?
Unique (%)28.7%

Sample

1st row파절이치킨
2nd row치킨까스
3rd row삼겹살
4th row소국밥
5th row김치찌게
ValueCountFrequency (%)
칼국수 29
 
9.7%
자장면 20
 
6.7%
커트 16
 
5.3%
김치찌개 10
 
3.3%
백반 9
 
3.0%
퍼머 9
 
3.0%
된장찌개 8
 
2.7%
파마 7
 
2.3%
냉면 6
 
2.0%
삼겹살 6
 
2.0%
Other values (121) 180
60.0%
2023-12-12T20:56:49.855288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 74
 
6.7%
장 49
 
4.4%
수 41
 
3.7%
밥 36
 
3.3%
칼 35
 
3.2%
면 33
 
3.0%
트 25
 
2.3%
자 24
 
2.2%
찌 22
 
2.0%
개 22
 
2.0%
Other values (178) 743
67.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1027
93.0%
Decimal Number 26
 
2.4%
Open Punctuation 17
 
1.5%
Close Punctuation 17
 
1.5%
Lowercase Letter 7
 
0.6%
Space Separator 4
 
0.4%
Uppercase Letter 4
 
0.4%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 74
 
7.2%
장 49
 
4.8%
수 41
 
4.0%
밥 36
 
3.5%
칼 35
 
3.4%
면 33
 
3.2%
트 25
 
2.4%
자 24
 
2.3%
찌 22
 
2.1%
개 22
 
2.1%
Other values (162) 666
64.8%
Decimal Number
ValueCountFrequency (%)
0 12
46.2%
2 6
23.1%
5 3
 
11.5%
1 3
 
11.5%
3 1
 
3.8%
8 1
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
O 1
25.0%
S 1
25.0%
A 1
25.0%
N 1
25.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
, 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 7
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1027
93.0%
Common 66
 
6.0%
Latin 11
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 74
 
7.2%
장 49
 
4.8%
수 41
 
4.0%
밥 36
 
3.5%
칼 35
 
3.4%
면 33
 
3.2%
트 25
 
2.4%
자 24
 
2.3%
찌 22
 
2.1%
개 22
 
2.1%
Other values (162) 666
64.8%
Common
ValueCountFrequency (%)
( 17
25.8%
) 17
25.8%
0 12
18.2%
2 6
 
9.1%
4
 
6.1%
5 3
 
4.5%
1 3
 
4.5%
/ 1
 
1.5%
, 1
 
1.5%
3 1
 
1.5%
Latin
ValueCountFrequency (%)
g 7
63.6%
O 1
 
9.1%
S 1
 
9.1%
A 1
 
9.1%
N 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1027
93.0%
ASCII 77
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 74
 
7.2%
장 49
 
4.8%
수 41
 
4.0%
밥 36
 
3.5%
칼 35
 
3.4%
면 33
 
3.2%
트 25
 
2.4%
자 24
 
2.3%
찌 22
 
2.1%
개 22
 
2.1%
Other values (162) 666
64.8%
ASCII
ValueCountFrequency (%)
( 17
22.1%
) 17
22.1%
0 12
15.6%
g 7
9.1%
2 6
 
7.8%
4
 
5.2%
5 3
 
3.9%
1 3
 
3.9%
/ 1
 
1.3%
, 1
 
1.3%
Other values (6) 6
 
7.8%

가격
Categorical

Distinct31
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
5000원
69 
6000원
46 
4000원
38 
7000원
23 
10000원
17 
Other values (26)
103 

Length

Max length6
Median length5
Mean length5.1385135
Min length5

Unique

Unique12 ?
Unique (%)4.1%

Sample

1st row10000원
2nd row4900원
3rd row10000원
4th row6000원
5th row6000원

Common Values

ValueCountFrequency (%)
5000원 69
23.3%
6000원 46
15.5%
4000원 38
12.8%
7000원 23
 
7.8%
10000원 17
 
5.7%
3000원 13
 
4.4%
4500원 12
 
4.1%
8000원 11
 
3.7%
2000원 9
 
3.0%
3500원 8
 
2.7%
Other values (21) 50
16.9%

Length

2023-12-12T20:56:49.996278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5000원 69
23.3%
6000원 46
15.5%
4000원 38
12.8%
7000원 23
 
7.8%
10000원 17
 
5.7%
3000원 13
 
4.4%
4500원 12
 
4.1%
8000원 11
 
3.7%
2000원 9
 
3.0%
3500원 8
 
2.7%
Other values (21) 50
16.9%

연락처
Text

MISSING 

Distinct289
Distinct (%)99.7%
Missing6
Missing (%)2.0%
Memory size2.4 KiB
2023-12-12T20:56:50.257060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.006897
Min length12

Characters and Unicode

Total characters3482
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

Unique288 ?
Unique (%)99.3%

Sample

1st row042-624-6001
2nd row042-637-3337
3rd row042-286-9825
4th row042-283-5556
5th row042-622-0109
ValueCountFrequency (%)
042-251-8428 2
 
0.7%
042-823-7235 1
 
0.3%
042-482-0819 1
 
0.3%
042-484-3353 1
 
0.3%
042-636-9904 1
 
0.3%
042-527-6800 1
 
0.3%
042-523-8830 1
 
0.3%
042-485-9848 1
 
0.3%
042-527-0600 1
 
0.3%
042-482-5955 1
 
0.3%
Other values (279) 279
96.2%
2023-12-12T20:56:50.684313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 650
18.7%
- 580
16.7%
4 480
13.8%
0 421
12.1%
5 276
7.9%
8 241
 
6.9%
3 205
 
5.9%
6 177
 
5.1%
9 157
 
4.5%
7 154
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2902
83.3%
Dash Punctuation 580
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 650
22.4%
4 480
16.5%
0 421
14.5%
5 276
9.5%
8 241
 
8.3%
3 205
 
7.1%
6 177
 
6.1%
9 157
 
5.4%
7 154
 
5.3%
1 141
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 580
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3482
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 650
18.7%
- 580
16.7%
4 480
13.8%
0 421
12.1%
5 276
7.9%
8 241
 
6.9%
3 205
 
5.9%
6 177
 
5.1%
9 157
 
4.5%
7 154
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3482
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 650
18.7%
- 580
16.7%
4 480
13.8%
0 421
12.1%
5 276
7.9%
8 241
 
6.9%
3 205
 
5.9%
6 177
 
5.1%
9 157
 
4.5%
7 154
 
4.4%

Correlations

2023-12-12T20:56:50.810323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구업종가격
시군구1.0000.3030.000
업종0.3031.0000.734
가격0.0000.7341.000
2023-12-12T20:56:50.932828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구업종가격
시군구1.0000.1310.000
업종0.1311.0000.299
가격0.0000.2991.000
2023-12-12T20:56:51.042358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군구업종가격
시군구1.0000.1310.000
업종0.1311.0000.299
가격0.0000.2991.000

Missing values

2023-12-12T20:56:46.084385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:56:46.258704image/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

시도시군구업종업소명주소주요품목가격연락처
0대전광역시동구기타양식파절이치킨대전광역시 동구 동서대로1748번길 154(가양동)파절이치킨10000원042-624-6001
1대전광역시동구한식_육류돈하우스대전광역시 동구 동대전로131번길 8-16, 1층(자양동)치킨까스4900원<NA>
2대전광역시동구한식_육류가양돼지대전광역시 동구 동대전로284번길 117, 동신아파트 1동1층2호(가양동)삼겹살10000원042-637-3337
3대전광역시동구한식_일반태평소국밥대전광역시 동구 계족로140번길 91(용운동)소국밥6000원042-286-9825
4대전광역시동구한식_일반대동식당대전광역시 동구 우안4길 2김치찌게6000원042-283-5556
5대전광역시동구한식_면류진짜손칼국수대전광역시 동구 우암로 341-2칼국수4500원042-622-0109
6대전광역시동구기타서비스업드림안경콘텍트대전광역시 동구 홍도로 14-5(홍도동)NASO 15810000원042-639-0010
7대전광역시동구이미용업머리카락앤피부샵대전광역시 동구 동서대로1692번길153(성남동)커트7000원042-626-0214
8대전광역시동구한식_일반이가네뼈다귀대전광역시 동구 계족로392번길60,1층(성남동)순두부6000원042-672-4822
9대전광역시동구한식_면류하나 바지락 칼국수대전광역시 동구 계족로392번길42(성남동)칼국수5000원042-632-5288
시도시군구업종업소명주소주요품목가격연락처
286대전광역시대덕구한식_일반보성식당대전광역시 대덕구 석봉로 37번길 60-7청국장게장백반6000원042-932-7494
287대전광역시대덕구한식_일반진미정식대전광역시 대덕구 중리동로 17번길 50가정식백반6000원042-623-8810
288대전광역시대덕구한식_일반이모네대전광역시 대덕구 동서대로1809번길 9고등어백반5000원042-625-4047
289대전광역시대덕구한식_면류호박식당대전광역시 대덕구 비래동로7번길 13칼국수4000원042-623-1426
290대전광역시대덕구이미용업헤어나이스대전광역시 대덕구 비래동로15번길 27성인컷트(여)7000원042-622-1711
291대전광역시대덕구중식한남짜장대전광역시 대덕구 한남로 61자장면2500원042-624-4082
292대전광역시대덕구양식킴스돈까스대전광역시 대덕구 한남로 61새우까스3500원042-627-5787
293대전광역시대덕구한식_찌개류제일추어탕대전광역시 대덕구 한남로 137돌솥추어탕(점심)6000원042-633-1190
294대전광역시대덕구한식_면류왕궁바지락칼국수대전광역시 대덕구 대전로1019번길 37오징어두루치기(2인분)10000원042-673-2242
295대전광역시대덕구한식_일반오부자강릉집대전광역시 대덕구 한밭대로1006번길 74낙지뚝배기5000원042-626-1888