Overview

Dataset statistics

Number of variables8
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory69.9 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description전북특별자치도 김제시 모범음식점 현황입니다.김제시 업소명, 소재지(도로명), 전화번호, 주메뉴, 업태명, 주메뉴, 데이터기준일자를 포함하고 있습니다.
Author전북특별자치도 김제시
URLhttps://www.data.go.kr/data/3046136/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업태명 is highly imbalanced (66.0%)Imbalance
연번 has unique valuesUnique
업소명 has unique valuesUnique
영업자명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-23 06:02:45.747467
Analysis finished2024-03-23 06:02:47.849163
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2024-03-23T06:02:48.080118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2024-03-23T06:02:48.544813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

업소명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-23T06:02:49.130295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.3333333
Min length2

Characters and Unicode

Total characters171
Distinct characters104
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row갈비스타
2nd row광주복집
3rd row그린회관
4th row김제명가순두부
5th row남촌숯불갈비
ValueCountFrequency (%)
갈비스타 1
 
3.4%
섬마을바지락칼국수 1
 
3.4%
총체보리한우촌 1
 
3.4%
촌집 1
 
3.4%
청원골검정콩두부수제비보쌈 1
 
3.4%
중수원 1
 
3.4%
정자나무가든 1
 
3.4%
정성로스 1
 
3.4%
임도령남원추어탕 1
 
3.4%
일범식당 1
 
3.4%
Other values (19) 19
65.5%
2024-03-23T06:02:50.384075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 7
 
4.1%
수 5
 
2.9%
정 5
 
2.9%
바 3
 
1.8%
마 3
 
1.8%
한 3
 
1.8%
우 3
 
1.8%
원 3
 
1.8%
든 3
 
1.8%
비 3
 
1.8%
Other values (94) 133
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 168
98.2%
Space Separator 2
 
1.2%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 7
 
4.2%
수 5
 
3.0%
정 5
 
3.0%
바 3
 
1.8%
마 3
 
1.8%
한 3
 
1.8%
우 3
 
1.8%
원 3
 
1.8%
든 3
 
1.8%
비 3
 
1.8%
Other values (92) 130
77.4%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 168
98.2%
Common 3
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 7
 
4.2%
수 5
 
3.0%
정 5
 
3.0%
바 3
 
1.8%
마 3
 
1.8%
한 3
 
1.8%
우 3
 
1.8%
원 3
 
1.8%
든 3
 
1.8%
비 3
 
1.8%
Other values (92) 130
77.4%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 168
98.2%
ASCII 3
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 7
 
4.2%
수 5
 
3.0%
정 5
 
3.0%
바 3
 
1.8%
마 3
 
1.8%
한 3
 
1.8%
우 3
 
1.8%
원 3
 
1.8%
든 3
 
1.8%
비 3
 
1.8%
Other values (92) 130
77.4%
ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

영업자명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-23T06:02:50.951587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1851852
Min length3

Characters and Unicode

Total characters86
Distinct characters52
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row박인홍
2nd row정인순
3rd row김점녀
4th row서은숙
5th row신현숙
ValueCountFrequency (%)
박인홍 1
 
3.4%
손순임 1
 
3.4%
강미란 1
 
3.4%
김현주 1
 
3.4%
김현례 1
 
3.4%
1명 1
 
3.4%
외 1
 
3.4%
이림태 1
 
3.4%
최낙숙 1
 
3.4%
임성애 1
 
3.4%
Other values (19) 19
65.5%
2024-03-23T06:02:52.015590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 6
 
7.0%
이 5
 
5.8%
숙 5
 
5.8%
현 4
 
4.7%
홍 3
 
3.5%
인 3
 
3.5%
순 3
 
3.5%
영 3
 
3.5%
박 2
 
2.3%
경 2
 
2.3%
Other values (42) 50
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83
96.5%
Space Separator 2
 
2.3%
Decimal Number 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 6
 
7.2%
이 5
 
6.0%
숙 5
 
6.0%
현 4
 
4.8%
홍 3
 
3.6%
인 3
 
3.6%
순 3
 
3.6%
영 3
 
3.6%
박 2
 
2.4%
경 2
 
2.4%
Other values (40) 47
56.6%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83
96.5%
Common 3
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 6
 
7.2%
이 5
 
6.0%
숙 5
 
6.0%
현 4
 
4.8%
홍 3
 
3.6%
인 3
 
3.6%
순 3
 
3.6%
영 3
 
3.6%
박 2
 
2.4%
경 2
 
2.4%
Other values (40) 47
56.6%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83
96.5%
ASCII 3
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 6
 
7.2%
이 5
 
6.0%
숙 5
 
6.0%
현 4
 
4.8%
홍 3
 
3.6%
인 3
 
3.6%
순 3
 
3.6%
영 3
 
3.6%
박 2
 
2.4%
경 2
 
2.4%
Other values (40) 47
56.6%
ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

소재지(도로명)
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-23T06:02:52.606063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.666667
Min length9

Characters and Unicode

Total characters342
Distinct characters57
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row(흥사동) 하공로 237-85
2nd row(요촌동) 요촌중1길 8
3rd row금산면 모악로 470
4th row금구면 콩쥐팥쥐로 622
5th row금구면 봉두로 58
ValueCountFrequency (%)
요촌동 7
 
8.6%
금산면 7
 
8.6%
금구면 4
 
4.9%
모악로 3
 
3.7%
검산동 3
 
3.7%
하정2길 2
 
2.5%
대율2길 2
 
2.5%
중앙로 2
 
2.5%
백산면 2
 
2.5%
금산사로 2
 
2.5%
Other values (44) 47
58.0%
2024-03-23T06:02:53.757080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
17.0%
산 17
 
5.0%
2 17
 
5.0%
로 16
 
4.7%
동 16
 
4.7%
( 13
 
3.8%
금 13
 
3.8%
면 13
 
3.8%
) 13
 
3.8%
7 12
 
3.5%
Other values (47) 154
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
50.3%
Decimal Number 80
23.4%
Space Separator 58
 
17.0%
Open Punctuation 13
 
3.8%
Close Punctuation 13
 
3.8%
Dash Punctuation 6
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 17
 
9.9%
로 16
 
9.3%
동 16
 
9.3%
금 13
 
7.6%
면 13
 
7.6%
요 11
 
6.4%
길 11
 
6.4%
촌 10
 
5.8%
서 5
 
2.9%
검 4
 
2.3%
Other values (33) 56
32.6%
Decimal Number
ValueCountFrequency (%)
2 17
21.2%
7 12
15.0%
1 12
15.0%
0 7
8.8%
8 7
8.8%
5 6
 
7.5%
6 5
 
6.2%
9 5
 
6.2%
4 5
 
6.2%
3 4
 
5.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
50.3%
Common 170
49.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 17
 
9.9%
로 16
 
9.3%
동 16
 
9.3%
금 13
 
7.6%
면 13
 
7.6%
요 11
 
6.4%
길 11
 
6.4%
촌 10
 
5.8%
서 5
 
2.9%
검 4
 
2.3%
Other values (33) 56
32.6%
Common
ValueCountFrequency (%)
58
34.1%
2 17
 
10.0%
( 13
 
7.6%
) 13
 
7.6%
7 12
 
7.1%
1 12
 
7.1%
0 7
 
4.1%
8 7
 
4.1%
5 6
 
3.5%
- 6
 
3.5%
Other values (4) 19
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
50.3%
ASCII 170
49.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
34.1%
2 17
 
10.0%
( 13
 
7.6%
) 13
 
7.6%
7 12
 
7.1%
1 12
 
7.1%
0 7
 
4.1%
8 7
 
4.1%
5 6
 
3.5%
- 6
 
3.5%
Other values (4) 19
 
11.2%
Hangul
ValueCountFrequency (%)
산 17
 
9.9%
로 16
 
9.3%
동 16
 
9.3%
금 13
 
7.6%
면 13
 
7.6%
요 11
 
6.4%
길 11
 
6.4%
촌 10
 
5.8%
서 5
 
2.9%
검 4
 
2.3%
Other values (33) 56
32.6%

전화번호
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-23T06:02:54.350935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters324
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

Unique27 ?
Unique (%)100.0%

Sample

1st row063-542-3131
2nd row063-547-3346
3rd row063-548-4090
4th row063-548-0333
5th row063-547-3392
ValueCountFrequency (%)
063-542-3131 1
 
3.7%
063-548-3939 1
 
3.7%
063-543-9796 1
 
3.7%
063-543-0071 1
 
3.7%
063-548-4052 1
 
3.7%
063-542-8014 1
 
3.7%
063-542-4015 1
 
3.7%
063-548-3088 1
 
3.7%
063-545-1654 1
 
3.7%
063-548-4023 1
 
3.7%
Other values (17) 17
63.0%
2024-03-23T06:02:55.522124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 54
16.7%
- 54
16.7%
0 45
13.9%
5 45
13.9%
4 37
11.4%
6 35
10.8%
2 15
 
4.6%
8 13
 
4.0%
1 12
 
3.7%
7 8
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
83.3%
Dash Punctuation 54
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 54
20.0%
0 45
16.7%
5 45
16.7%
4 37
13.7%
6 35
13.0%
2 15
 
5.6%
8 13
 
4.8%
1 12
 
4.4%
7 8
 
3.0%
9 6
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 54
16.7%
- 54
16.7%
0 45
13.9%
5 45
13.9%
4 37
11.4%
6 35
10.8%
2 15
 
4.6%
8 13
 
4.0%
1 12
 
3.7%
7 8
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 54
16.7%
- 54
16.7%
0 45
13.9%
5 45
13.9%
4 37
11.4%
6 35
10.8%
2 15
 
4.6%
8 13
 
4.0%
1 12
 
3.7%
7 8
 
2.5%

업태명
Categorical

IMBALANCE 

Distinct4
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size348.0 B
한식
24 
한식(복어취급)
 
1
중식
 
1
식육(숯불구이)
 
1

Length

Max length8
Median length2
Mean length2.4444444
Min length2

Unique

Unique3 ?
Unique (%)11.1%

Sample

1st row한식
2nd row한식(복어취급)
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 24
88.9%
한식(복어취급) 1
 
3.7%
중식 1
 
3.7%
식육(숯불구이) 1
 
3.7%

Length

2024-03-23T06:02:56.156945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:02:56.573911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 24
88.9%
한식(복어취급 1
 
3.7%
중식 1
 
3.7%
식육(숯불구이 1
 
3.7%

주메뉴
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-23T06:02:57.064253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.6296296
Min length2

Characters and Unicode

Total characters206
Distinct characters80
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)92.6%

Sample

1st row돼지갈비
2nd row복탕, 아귀탕
3rd row한방백숙, 산채비빔밥
4th row순두부찌개
5th row돼지갈비, 갈치정식
ValueCountFrequency (%)
구이류 3
 
6.8%
한정식 2
 
4.5%
돼지갈비 2
 
4.5%
냉면 2
 
4.5%
닭볶음탕 2
 
4.5%
산채비빔밥 2
 
4.5%
바지락칼국수 2
 
4.5%
검은콩두부보쌈 1
 
2.3%
낙지볶음 1
 
2.3%
깜밥닭백숙 1
 
2.3%
Other values (26) 26
59.1%
2024-03-23T06:02:58.394432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
8.3%
, 16
 
7.8%
탕 9
 
4.4%
지 8
 
3.9%
비 5
 
2.4%
장 5
 
2.4%
구 4
 
1.9%
정 4
 
1.9%
음 4
 
1.9%
볶 4
 
1.9%
Other values (70) 130
63.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 173
84.0%
Space Separator 17
 
8.3%
Other Punctuation 16
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 9
 
5.2%
지 8
 
4.6%
비 5
 
2.9%
장 5
 
2.9%
구 4
 
2.3%
정 4
 
2.3%
음 4
 
2.3%
볶 4
 
2.3%
이 4
 
2.3%
수 4
 
2.3%
Other values (68) 122
70.5%
Space Separator
ValueCountFrequency (%)
17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
84.0%
Common 33
 
16.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 9
 
5.2%
지 8
 
4.6%
비 5
 
2.9%
장 5
 
2.9%
구 4
 
2.3%
정 4
 
2.3%
음 4
 
2.3%
볶 4
 
2.3%
이 4
 
2.3%
수 4
 
2.3%
Other values (68) 122
70.5%
Common
ValueCountFrequency (%)
17
51.5%
, 16
48.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 173
84.0%
ASCII 33
 
16.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
51.5%
, 16
48.5%
Hangul
ValueCountFrequency (%)
탕 9
 
5.2%
지 8
 
4.6%
비 5
 
2.9%
장 5
 
2.9%
구 4
 
2.3%
정 4
 
2.3%
음 4
 
2.3%
볶 4
 
2.3%
이 4
 
2.3%
수 4
 
2.3%
Other values (68) 122
70.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-05
27 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-05
2nd row2024-03-05
3rd row2024-03-05
4th row2024-03-05
5th row2024-03-05

Common Values

ValueCountFrequency (%)
2024-03-05 27
100.0%

Length

2024-03-23T06:02:58.873934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:02:59.258822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-05 27
100.0%

Interactions

2024-03-23T06:02:46.530916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:02:59.500391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업자명소재지(도로명)전화번호업태명주메뉴
연번1.0001.0001.0001.0001.0000.0000.900
업소명1.0001.0001.0001.0001.0001.0001.000
영업자명1.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
업태명0.0001.0001.0001.0001.0001.0001.000
주메뉴0.9001.0001.0001.0001.0001.0001.000
2024-03-23T06:02:59.918571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.000
업태명0.0001.000

Missing values

2024-03-23T06:02:47.023129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:02:47.633074image/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

연번업소명영업자명소재지(도로명)전화번호업태명주메뉴데이터기준일자
01갈비스타박인홍(흥사동) 하공로 237-85063-542-3131한식돼지갈비2024-03-05
12광주복집정인순(요촌동) 요촌중1길 8063-547-3346한식(복어취급)복탕, 아귀탕2024-03-05
23그린회관김점녀금산면 모악로 470063-548-4090한식한방백숙, 산채비빔밥2024-03-05
34김제명가순두부서은숙금구면 콩쥐팥쥐로 622063-548-0333한식순두부찌개2024-03-05
45남촌숯불갈비신현숙금구면 봉두로 58063-547-3392한식돼지갈비, 갈치정식2024-03-05
56다솜차반김경자금구면 대율2길 83063-546-5565한식한정식2024-03-05
67대운한우암소회관강진주금산면 모악로 7063-544-5375한식구이류2024-03-05
78더본감자탕 김제점신중호(검산동) 도작로 159063-542-3332한식묵은지뼈해장국2024-03-05
89매일회관유대종(요촌동) 남북로 140063-542-7345한식한정식, 불낙2024-03-05
910모정산골냉면허영만(검산동) 풍요로 8063-544-8033한식냉면, 칼국수2024-03-05
연번업소명영업자명소재지(도로명)전화번호업태명주메뉴데이터기준일자
1718일등한우정육식당김국권금산면 금산사로 77063-545-1131한식구이류2024-03-05
1819일범식당이양근금산면 모악로 468-7063-548-4023한식산채더덕정식, 산채비빔밥2024-03-05
1920임도령남원추어탕이혜경(요촌동) 요촌중2길 19063-545-1654한식추어탕, 수제돈가스2024-03-05
2021정성로스임성애(검산동) 검산택지5길 33-17063-548-3088한식삼겹살구이, 제육백반2024-03-05
2122정자나무가든최낙숙만경읍 두내산2길 7063-542-4015한식묵은지 닭볶음탕2024-03-05
2223중수원이림태 외 1명(요촌동) 동서9길 4063-542-8014중식짜장2024-03-05
2324청원골검정콩두부수제비보쌈김현례금산면 모악8길 20-6063-548-4052한식깜밥닭백숙, 검은콩두부보쌈2024-03-05
2425촌집김현주금산면 금산사로 561063-543-0071한식낙지볶음2024-03-05
2526총체보리한우촌강미란(옥산동) 동서로 62063-543-9796식육(숯불구이)구이류, 육회비빔밥2024-03-05
2627호수가에풍경가든이미숙백산면 하정2길 221063-547-3001한식닭볶음탕2024-03-05