Overview

Dataset statistics

Number of variables8
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory68.0 B

Variable types

Numeric1
Text5
Categorical1
DateTime1

Dataset

Description전북특별자치도 김제시 모범음식점 현황입니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=1&menuCd=DOM_000000103007001000&pListTypeStr=&pId=3046136

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
업소명 has unique valuesUnique
영업자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-13 23:43:38.558683
Analysis finished2024-03-13 23:43:40.604505
Duration2.05 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-03-14T08:43:40.675673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-03-14T08:43:40.778199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

업소명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T08:43:40.959970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length5.75
Min length2

Characters and Unicode

Total characters253
Distinct characters139
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row가원
2nd row고각
3rd row광주복집
4th row구미당
5th row궁짜장나라
ValueCountFrequency (%)
가원 1
 
2.2%
총체보리한우촌 1
 
2.2%
전망좋은집 1
 
2.2%
전주현대옥 1
 
2.2%
김제점 1
 
2.2%
정성로스 1
 
2.2%
정자나무가든 1
 
2.2%
중수원 1
 
2.2%
지평선한돈 1
 
2.2%
청원골검정콩두부수제비보쌈 1
 
2.2%
Other values (36) 36
78.3%
2024-03-14T08:43:41.280774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
가 9
 
3.6%
수 6
 
2.4%
제 6
 
2.4%
관 5
 
2.0%
한 5
 
2.0%
김 5
 
2.0%
정 5
 
2.0%
비 4
 
1.6%
집 4
 
1.6%
우 4
 
1.6%
Other values (129) 200
79.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 249
98.4%
Space Separator 2
 
0.8%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
가 9
 
3.6%
수 6
 
2.4%
제 6
 
2.4%
관 5
 
2.0%
한 5
 
2.0%
김 5
 
2.0%
정 5
 
2.0%
비 4
 
1.6%
집 4
 
1.6%
우 4
 
1.6%
Other values (126) 196
78.7%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 249
98.4%
Common 4
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
가 9
 
3.6%
수 6
 
2.4%
제 6
 
2.4%
관 5
 
2.0%
한 5
 
2.0%
김 5
 
2.0%
정 5
 
2.0%
비 4
 
1.6%
집 4
 
1.6%
우 4
 
1.6%
Other values (126) 196
78.7%
Common
ValueCountFrequency (%)
2
50.0%
) 1
25.0%
( 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 249
98.4%
ASCII 4
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
가 9
 
3.6%
수 6
 
2.4%
제 6
 
2.4%
관 5
 
2.0%
한 5
 
2.0%
김 5
 
2.0%
정 5
 
2.0%
비 4
 
1.6%
집 4
 
1.6%
우 4
 
1.6%
Other values (126) 196
78.7%
ASCII
ValueCountFrequency (%)
2
50.0%
) 1
25.0%
( 1
25.0%

영업자명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T08:43:41.461297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0909091
Min length3

Characters and Unicode

Total characters136
Distinct characters67
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

Unique44 ?
Unique (%)100.0%

Sample

1st row이예서
2nd row김희준
3rd row정인순
4th row홍강의
5th row장길섭
ValueCountFrequency (%)
이예서 1
 
2.2%
강미란 1
 
2.2%
추옥희 1
 
2.2%
박정희 1
 
2.2%
임성애 1
 
2.2%
최낙숙 1
 
2.2%
이림태외 1
 
2.2%
1명 1
 
2.2%
김정애 1
 
2.2%
김현례 1
 
2.2%
Other values (36) 36
78.3%
2024-03-14T08:43:41.745661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 8
 
5.9%
현 6
 
4.4%
영 6
 
4.4%
정 5
 
3.7%
박 5
 
3.7%
이 5
 
3.7%
강 4
 
2.9%
희 4
 
2.9%
순 4
 
2.9%
태 3
 
2.2%
Other values (57) 86
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133
97.8%
Space Separator 2
 
1.5%
Decimal Number 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 8
 
6.0%
현 6
 
4.5%
영 6
 
4.5%
정 5
 
3.8%
박 5
 
3.8%
이 5
 
3.8%
강 4
 
3.0%
희 4
 
3.0%
순 4
 
3.0%
태 3
 
2.3%
Other values (55) 83
62.4%
Space Separator
ValueCountFrequency (%)
2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133
97.8%
Common 3
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 8
 
6.0%
현 6
 
4.5%
영 6
 
4.5%
정 5
 
3.8%
박 5
 
3.8%
이 5
 
3.8%
강 4
 
3.0%
희 4
 
3.0%
순 4
 
3.0%
태 3
 
2.3%
Other values (55) 83
62.4%
Common
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133
97.8%
ASCII 3
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 8
 
6.0%
현 6
 
4.5%
영 6
 
4.5%
정 5
 
3.8%
박 5
 
3.8%
이 5
 
3.8%
강 4
 
3.0%
희 4
 
3.0%
순 4
 
3.0%
태 3
 
2.3%
Other values (55) 83
62.4%
ASCII
ValueCountFrequency (%)
2
66.7%
1 1
33.3%

소재지(도로명)
Text

Distinct42
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T08:43:41.987596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length23.477273
Min length18

Characters and Unicode

Total characters1033
Distinct characters71
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

Unique40 ?
Unique (%)90.9%

Sample

1st row전북특별자치도 김제시 남북로 140 (요촌동)
2nd row전북특별자치도 김제시 부량면 부량1길 31
3rd row전북특별자치도 김제시 요촌중1길 8 (요촌동)
4th row전북특별자치도 김제시 검산택지5길 36(검산동)
5th row전북특별자치도 김제시 요촌서길 9-12 (요촌동)
ValueCountFrequency (%)
전북특별자치도 44
21.3%
김제시 44
21.3%
요촌동 11
 
5.3%
금산면 9
 
4.3%
모악로 5
 
2.4%
금구면 4
 
1.9%
중앙로 4
 
1.9%
요촌서길 3
 
1.4%
금산사로 2
 
1.0%
백산면 2
 
1.0%
Other values (69) 79
38.2%
2024-03-14T08:43:42.499512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
163
 
15.8%
북 48
 
4.6%
도 45
 
4.4%
시 44
 
4.3%
제 44
 
4.3%
김 44
 
4.3%
전 44
 
4.3%
치 44
 
4.3%
별 44
 
4.3%
특 44
 
4.3%
Other values (61) 469
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 695
67.3%
Space Separator 163
 
15.8%
Decimal Number 131
 
12.7%
Open Punctuation 17
 
1.6%
Close Punctuation 17
 
1.6%
Dash Punctuation 10
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 48
 
6.9%
도 45
 
6.5%
시 44
 
6.3%
제 44
 
6.3%
김 44
 
6.3%
전 44
 
6.3%
치 44
 
6.3%
별 44
 
6.3%
특 44
 
6.3%
자 44
 
6.3%
Other values (47) 250
36.0%
Decimal Number
ValueCountFrequency (%)
1 26
19.8%
2 20
15.3%
8 13
9.9%
7 13
9.9%
0 13
9.9%
5 11
8.4%
6 10
 
7.6%
4 9
 
6.9%
9 9
 
6.9%
3 7
 
5.3%
Space Separator
ValueCountFrequency (%)
163
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 695
67.3%
Common 338
32.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 48
 
6.9%
도 45
 
6.5%
시 44
 
6.3%
제 44
 
6.3%
김 44
 
6.3%
전 44
 
6.3%
치 44
 
6.3%
별 44
 
6.3%
특 44
 
6.3%
자 44
 
6.3%
Other values (47) 250
36.0%
Common
ValueCountFrequency (%)
163
48.2%
1 26
 
7.7%
2 20
 
5.9%
( 17
 
5.0%
) 17
 
5.0%
8 13
 
3.8%
7 13
 
3.8%
0 13
 
3.8%
5 11
 
3.3%
6 10
 
3.0%
Other values (4) 35
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 695
67.3%
ASCII 338
32.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
163
48.2%
1 26
 
7.7%
2 20
 
5.9%
( 17
 
5.0%
) 17
 
5.0%
8 13
 
3.8%
7 13
 
3.8%
0 13
 
3.8%
5 11
 
3.3%
6 10
 
3.0%
Other values (4) 35
 
10.4%
Hangul
ValueCountFrequency (%)
북 48
 
6.9%
도 45
 
6.5%
시 44
 
6.3%
제 44
 
6.3%
김 44
 
6.3%
전 44
 
6.3%
치 44
 
6.3%
별 44
 
6.3%
특 44
 
6.3%
자 44
 
6.3%
Other values (47) 250
36.0%

전화번호
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T08:43:42.691809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters528
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

Unique44 ?
Unique (%)100.0%

Sample

1st row063-548-0003
2nd row063-546-6577
3rd row063-547-3346
4th row063-544-8588
5th row063-545-7979
ValueCountFrequency (%)
063-548-0003 1
 
2.3%
063-546-6577 1
 
2.3%
063-543-0071 1
 
2.3%
063-544-4471 1
 
2.3%
063-546-0021 1
 
2.3%
063-548-3088 1
 
2.3%
063-542-4015 1
 
2.3%
063-542-8014 1
 
2.3%
063-542-9295 1
 
2.3%
063-548-4052 1
 
2.3%
Other values (34) 34
77.3%
2024-03-14T08:43:42.969214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 88
16.7%
0 75
14.2%
3 75
14.2%
5 72
13.6%
4 66
12.5%
6 57
10.8%
8 22
 
4.2%
7 21
 
4.0%
2 19
 
3.6%
1 17
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
83.3%
Dash Punctuation 88
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 75
17.0%
3 75
17.0%
5 72
16.4%
4 66
15.0%
6 57
13.0%
8 22
 
5.0%
7 21
 
4.8%
2 19
 
4.3%
1 17
 
3.9%
9 16
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 88
16.7%
0 75
14.2%
3 75
14.2%
5 72
13.6%
4 66
12.5%
6 57
10.8%
8 22
 
4.2%
7 21
 
4.0%
2 19
 
3.6%
1 17
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 88
16.7%
0 75
14.2%
3 75
14.2%
5 72
13.6%
4 66
12.5%
6 57
10.8%
8 22
 
4.2%
7 21
 
4.0%
2 19
 
3.6%
1 17
 
3.2%

업태명
Categorical

Distinct4
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size484.0 B
한식
34 
중식
6 
일식
 
3
분식
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row한식
2nd row중식
3rd row한식
4th row한식
5th row중식

Common Values

ValueCountFrequency (%)
한식 34
77.3%
중식 6
 
13.6%
일식 3
 
6.8%
분식 1
 
2.3%

Length

2024-03-14T08:43:43.069345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:43:43.154017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 34
77.3%
중식 6
 
13.6%
일식 3
 
6.8%
분식 1
 
2.3%

주메뉴
Text

Distinct38
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-03-14T08:43:43.334475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11.5
Mean length7.1818182
Min length2

Characters and Unicode

Total characters316
Distinct characters100
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

Unique33 ?
Unique (%)75.0%

Sample

1st row묵은지 닭볶음탕
2nd row전복홍합짬뽕
3rd row복탕, 아귀탕
4th row한우장터국밥, 강된장쌈밥
5th row궁짜장
ValueCountFrequency (%)
구이류 4
 
6.0%
닭볶음탕 3
 
4.5%
생선회 3
 
4.5%
추어탕 2
 
3.0%
묵은지 2
 
3.0%
궁짜장 2
 
3.0%
돼지갈비 2
 
3.0%
메기탕 2
 
3.0%
산채비빔밥 2
 
3.0%
냉면 2
 
3.0%
Other values (40) 43
64.2%
2024-03-14T08:43:43.620755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
7.3%
, 23
 
7.3%
탕 16
 
5.1%
지 9
 
2.8%
밥 9
 
2.8%
장 8
 
2.5%
비 8
 
2.5%
닭 7
 
2.2%
이 6
 
1.9%
한 6
 
1.9%
Other values (90) 201
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 270
85.4%
Space Separator 23
 
7.3%
Other Punctuation 23
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 16
 
5.9%
지 9
 
3.3%
밥 9
 
3.3%
장 8
 
3.0%
비 8
 
3.0%
닭 7
 
2.6%
이 6
 
2.2%
한 6
 
2.2%
구 6
 
2.2%
볶 5
 
1.9%
Other values (88) 190
70.4%
Space Separator
ValueCountFrequency (%)
23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 270
85.4%
Common 46
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 16
 
5.9%
지 9
 
3.3%
밥 9
 
3.3%
장 8
 
3.0%
비 8
 
3.0%
닭 7
 
2.6%
이 6
 
2.2%
한 6
 
2.2%
구 6
 
2.2%
볶 5
 
1.9%
Other values (88) 190
70.4%
Common
ValueCountFrequency (%)
23
50.0%
, 23
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 270
85.4%
ASCII 46
 
14.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
50.0%
, 23
50.0%
Hangul
ValueCountFrequency (%)
탕 16
 
5.9%
지 9
 
3.3%
밥 9
 
3.3%
장 8
 
3.0%
비 8
 
3.0%
닭 7
 
2.6%
이 6
 
2.2%
한 6
 
2.2%
구 6
 
2.2%
볶 5
 
1.9%
Other values (88) 190
70.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2017-11-21 00:00:00
Maximum2017-11-21 00:00:00
2024-03-14T08:43:43.716889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:43:43.800700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T08:43:40.328573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T08:43:43.866177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업자명소재지(도로명)전화번호업태명주메뉴
연번1.0001.0001.0000.8371.0000.3040.812
업소명1.0001.0001.0001.0001.0001.0001.000
영업자명1.0001.0001.0001.0001.0001.0001.000
소재지(도로명)0.8371.0001.0001.0001.0001.0000.965
전화번호1.0001.0001.0001.0001.0001.0001.000
업태명0.3041.0001.0001.0001.0001.0001.000
주메뉴0.8121.0001.0000.9651.0001.0001.000
2024-03-14T08:43:43.950822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태명
연번1.0000.156
업태명0.1561.000

Missing values

2024-03-14T08:43:40.451107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:43:40.557336image/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
01가원이예서전북특별자치도 김제시 남북로 140 (요촌동)063-548-0003한식묵은지 닭볶음탕2017-11-21
12고각김희준전북특별자치도 김제시 부량면 부량1길 31063-546-6577중식전복홍합짬뽕2017-11-21
23광주복집정인순전북특별자치도 김제시 요촌중1길 8 (요촌동)063-547-3346한식복탕, 아귀탕2017-11-21
34구미당홍강의전북특별자치도 김제시 검산택지5길 36(검산동)063-544-8588한식한우장터국밥, 강된장쌈밥2017-11-21
45궁짜장나라장길섭전북특별자치도 김제시 요촌서길 9-12 (요촌동)063-545-7979중식궁짜장2017-11-21
56그린회관김점녀전북특별자치도 김제시 금산면 모악로 470063-548-4090한식한방백숙,산채비빔밥2017-11-21
67김제명가순두부서훈자전북특별자치도 김제시 콩쥐팥쥐로 622063-548-0333한식순두부찌개2017-11-21
78김제식당유영욱전북특별자치도 김제시 금산면 모악로 468-7063-548-4097한식메기탕, 산채비빔밥2017-11-21
89김제청보리한우명품관박정향전북특별자치도 김제시 중앙로 100 (요촌동)063-543-9595한식구이류, 한우갈비탕2017-11-21
910남촌숯불갈비신현숙전북특별자치도 김제시 금구면 봉두로 58063-547-3392한식돼지갈비, 갈치정식2017-11-21
연번업소명영업자명소재지(도로명)전화번호업태명주메뉴데이터기준일자
3435호수가에풍경가든신종태전북특별자치도 김제시 백산면 하정2길 221063-547-3001한식옻닭, 닭볶음탕2017-11-21
3536화궁반점우덕리전북특별자치도 김제시 요촌북로 10 (요촌동)063-547-2537중식간짬뽕2017-11-21
3637화림회관박정순전북특별자치도 김제시 금산면 모악로 464063-548-4028한식산채정식, 산채비빔밥2017-11-21
3738해나라수산강 현전북특별자치도 김제시 도작로 159063-546-3456일식생선회2017-11-21
3839더 궁장형길전북특별자치도 김제시 중앙1길 59063-547-0800중식궁짜장2017-11-21
3940갈비스타박영훈전북특별자치도 김제시 하공로 237-85063-542-3131한식돼지갈비2017-11-21
4041이비가짬뽕(김제점)최종훈전북특별자치도 김제시 콩쥐팥쥐로 88063-545-7141중식짬뽕2017-11-21
4142연정한우촌전용일전북특별자치도 김제시 금산면 금산사로 77063-545-1131한식구이류2017-11-21
4243대운한우암소회관강진주전북특별자치도 김제시 금산면 모악로 7063-544-5375한식구이류2017-11-21
4344빈랑예찬손예립전북특별자치도 김제시 동서18길 26063-542-0000한식해신탕2017-11-21