Overview

Dataset statistics

Number of variables11
Number of observations23
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory94.7 B

Variable types

Numeric1
Categorical5
Text4
DateTime1

Dataset

Description166월말기준_로컬푸드직매장현황
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201878

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 has unique valuesUnique
직매장명 has unique valuesUnique
주 소 has unique valuesUnique
개장일 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 01:57:11.955757
Analysis finished2024-03-14 01:57:12.760424
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size339.0 B
2024-03-14T10:57:12.822817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.1
Q16.5
median12
Q317.5
95-th percentile21.9
Maximum23
Range22
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.78233
Coefficient of variation (CV)0.56519417
Kurtosis-1.2
Mean12
Median Absolute Deviation (MAD)6
Skewness0
Sum276
Variance46
MonotonicityStrictly increasing
2024-03-14T10:57:12.921280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
1 1
 
4.3%
2 1
 
4.3%
23 1
 
4.3%
22 1
 
4.3%
21 1
 
4.3%
20 1
 
4.3%
19 1
 
4.3%
18 1
 
4.3%
17 1
 
4.3%
16 1
 
4.3%
Other values (13) 13
56.5%
ValueCountFrequency (%)
1 1
4.3%
2 1
4.3%
3 1
4.3%
4 1
4.3%
5 1
4.3%
6 1
4.3%
7 1
4.3%
8 1
4.3%
9 1
4.3%
10 1
4.3%
ValueCountFrequency (%)
23 1
4.3%
22 1
4.3%
21 1
4.3%
20 1
4.3%
19 1
4.3%
18 1
4.3%
17 1
4.3%
16 1
4.3%
15 1
4.3%
14 1
4.3%

직매장 위치
Categorical

Distinct11
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Memory size316.0 B
완주군
7 
전주시
5 
군산시
2 
김제시
2 
순창군
1 
Other values (6)
6 

Length

Max length7
Median length3
Mean length3.173913
Min length3

Unique

Unique7 ?
Unique (%)30.4%

Sample

1st row완주군
2nd row전주시
3rd row완주군
4th row완주군
5th row완주군

Common Values

ValueCountFrequency (%)
완주군 7
30.4%
전주시 5
21.7%
군산시 2
 
8.7%
김제시 2
 
8.7%
순창군 1
 
4.3%
고창군 1
 
4.3%
정읍시 1
 
4.3%
진안군 1
 
4.3%
전주시(도청) 1
 
4.3%
남원시 1
 
4.3%

Length

2024-03-14T10:57:13.051931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주군 7
30.4%
전주시 5
21.7%
군산시 2
 
8.7%
김제시 2
 
8.7%
순창군 1
 
4.3%
고창군 1
 
4.3%
정읍시 1
 
4.3%
진안군 1
 
4.3%
전주시(도청 1
 
4.3%
남원시 1
 
4.3%

직매장명
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:57:13.236549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length6.7391304
Min length3

Characters and Unicode

Total characters155
Distinct characters62
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)100.0%

Sample

1st row완주 용진농협
2nd row해피스테이션 효자점
3rd row완주 상관농협
4th row완주 고산농협
5th row해피스테이션 모악점
ValueCountFrequency (%)
완주 5
 
13.5%
해피스테이션 4
 
10.8%
효자점 2
 
5.4%
용진농협 2
 
5.4%
군산 1
 
2.7%
익산로컬 1
 
2.7%
남원원예농협 1
 
2.7%
체험판매장 1
 
2.7%
로컬푸드 1
 
2.7%
전주푸드 1
 
2.7%
Other values (18) 18
48.6%
2024-03-14T10:57:13.544851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
 
9.0%
농 13
 
8.4%
협 13
 
8.4%
점 6
 
3.9%
주 6
 
3.9%
완 5
 
3.2%
산 5
 
3.2%
해 4
 
2.6%
피 4
 
2.6%
스 4
 
2.6%
Other values (52) 81
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 141
91.0%
Space Separator 14
 
9.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 13
 
9.2%
협 13
 
9.2%
점 6
 
4.3%
주 6
 
4.3%
완 5
 
3.5%
산 5
 
3.5%
해 4
 
2.8%
피 4
 
2.8%
스 4
 
2.8%
테 4
 
2.8%
Other values (51) 77
54.6%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 141
91.0%
Common 14
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 13
 
9.2%
협 13
 
9.2%
점 6
 
4.3%
주 6
 
4.3%
완 5
 
3.5%
산 5
 
3.5%
해 4
 
2.8%
피 4
 
2.8%
스 4
 
2.8%
테 4
 
2.8%
Other values (51) 77
54.6%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 141
91.0%
ASCII 14
 
9.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
100.0%
Hangul
ValueCountFrequency (%)
농 13
 
9.2%
협 13
 
9.2%
점 6
 
4.3%
주 6
 
4.3%
완 5
 
3.5%
산 5
 
3.5%
해 4
 
2.8%
피 4
 
2.8%
스 4
 
2.8%
테 4
 
2.8%
Other values (51) 77
54.6%

대표자
Text

Distinct19
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:57:13.712262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters69
Distinct characters46
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)73.9%

Sample

1st row정완철
2nd row안대성
3rd row이재욱
4th row국영석
5th row안대성
ValueCountFrequency (%)
안대성 4
17.4%
정완철 2
 
8.7%
장창호 1
 
4.3%
박규석 1
 
4.3%
방금원 1
 
4.3%
강태호 1
 
4.3%
정천섭 1
 
4.3%
강주현 1
 
4.3%
유승재 1
 
4.3%
손사선 1
 
4.3%
Other values (9) 9
39.1%
2024-03-14T10:57:13.971988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 4
 
5.8%
성 4
 
5.8%
대 4
 
5.8%
정 3
 
4.3%
재 3
 
4.3%
원 2
 
2.9%
강 2
 
2.9%
유 2
 
2.9%
석 2
 
2.9%
창 2
 
2.9%
Other values (36) 41
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 4
 
5.8%
성 4
 
5.8%
대 4
 
5.8%
정 3
 
4.3%
재 3
 
4.3%
원 2
 
2.9%
강 2
 
2.9%
유 2
 
2.9%
석 2
 
2.9%
창 2
 
2.9%
Other values (36) 41
59.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 4
 
5.8%
성 4
 
5.8%
대 4
 
5.8%
정 3
 
4.3%
재 3
 
4.3%
원 2
 
2.9%
강 2
 
2.9%
유 2
 
2.9%
석 2
 
2.9%
창 2
 
2.9%
Other values (36) 41
59.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 4
 
5.8%
성 4
 
5.8%
대 4
 
5.8%
정 3
 
4.3%
재 3
 
4.3%
원 2
 
2.9%
강 2
 
2.9%
유 2
 
2.9%
석 2
 
2.9%
창 2
 
2.9%
Other values (36) 41
59.4%

주 소
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:57:14.169781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length14.869565
Min length10

Characters and Unicode

Total characters342
Distinct characters77
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

Unique23 ?
Unique (%)100.0%

Sample

1st row완주군 용진읍 완주로 187
2nd row전주시 완산구 우전1길 40-33
3rd row완주군 상관면 신리로 53
4th row완주군 고산면 고산로 77
5th row완주군 구이면 모악산길 95
ValueCountFrequency (%)
완주군 7
 
8.0%
전주시 6
 
6.8%
완산구 4
 
4.5%
군산시 2
 
2.3%
덕진구 2
 
2.3%
봉동읍 2
 
2.3%
김제시 2
 
2.3%
익산시 1
 
1.1%
3 1
 
1.1%
번영로 1
 
1.1%
Other values (60) 60
68.2%
2024-03-14T10:57:14.499707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
19.0%
2 17
 
5.0%
산 16
 
4.7%
로 15
 
4.4%
주 14
 
4.1%
시 14
 
4.1%
완 12
 
3.5%
군 12
 
3.5%
1 9
 
2.6%
구 9
 
2.6%
Other values (67) 159
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
59.1%
Decimal Number 68
 
19.9%
Space Separator 65
 
19.0%
Dash Punctuation 7
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 16
 
7.9%
로 15
 
7.4%
주 14
 
6.9%
시 14
 
6.9%
완 12
 
5.9%
군 12
 
5.9%
구 9
 
4.5%
전 7
 
3.5%
면 7
 
3.5%
읍 7
 
3.5%
Other values (55) 89
44.1%
Decimal Number
ValueCountFrequency (%)
2 17
25.0%
1 9
13.2%
3 8
11.8%
4 8
11.8%
5 7
10.3%
7 6
 
8.8%
9 4
 
5.9%
0 4
 
5.9%
8 4
 
5.9%
6 1
 
1.5%
Space Separator
ValueCountFrequency (%)
65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
59.1%
Common 140
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 16
 
7.9%
로 15
 
7.4%
주 14
 
6.9%
시 14
 
6.9%
완 12
 
5.9%
군 12
 
5.9%
구 9
 
4.5%
전 7
 
3.5%
면 7
 
3.5%
읍 7
 
3.5%
Other values (55) 89
44.1%
Common
ValueCountFrequency (%)
65
46.4%
2 17
 
12.1%
1 9
 
6.4%
3 8
 
5.7%
4 8
 
5.7%
- 7
 
5.0%
5 7
 
5.0%
7 6
 
4.3%
9 4
 
2.9%
0 4
 
2.9%
Other values (2) 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
59.1%
ASCII 140
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
46.4%
2 17
 
12.1%
1 9
 
6.4%
3 8
 
5.7%
4 8
 
5.7%
- 7
 
5.0%
5 7
 
5.0%
7 6
 
4.3%
9 4
 
2.9%
0 4
 
2.9%
Other values (2) 5
 
3.6%
Hangul
ValueCountFrequency (%)
산 16
 
7.9%
로 15
 
7.4%
주 14
 
6.9%
시 14
 
6.9%
완 12
 
5.9%
군 12
 
5.9%
구 9
 
4.5%
전 7
 
3.5%
면 7
 
3.5%
읍 7
 
3.5%
Other values (55) 89
44.1%

개장일
Date

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
Minimum2012-04-27 00:00:00
Maximum2016-03-21 00:00:00
2024-03-14T10:57:14.596705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T10:57:14.689760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)

전화번호
Text

UNIQUE 

Distinct23
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size316.0 B
2024-03-14T10:57:14.848769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.043478
Min length12

Characters and Unicode

Total characters277
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

Unique23 ?
Unique (%)100.0%

Sample

1st row063-243-7009
2nd row063-253-5760
3rd row063-280-6203
4th row063-260-7592
5th row063-253-5761
ValueCountFrequency (%)
063-243-7009 1
 
4.3%
063-464-4080 1
 
4.3%
063-834-0701 1
 
4.3%
063-636-8710 1
 
4.3%
063-240-3142 1
 
4.3%
063-211-2151 1
 
4.3%
063-228-7010 1
 
4.3%
063-432-0245 1
 
4.3%
063-262-2266 1
 
4.3%
063-535-4234 1
 
4.3%
Other values (13) 13
56.5%
2024-03-14T10:57:15.155092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 46
16.6%
0 45
16.2%
6 41
14.8%
3 39
14.1%
2 28
10.1%
4 20
7.2%
5 19
6.9%
7 15
 
5.4%
1 14
 
5.1%
9 5
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 231
83.4%
Dash Punctuation 46
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 45
19.5%
6 41
17.7%
3 39
16.9%
2 28
12.1%
4 20
8.7%
5 19
8.2%
7 15
 
6.5%
1 14
 
6.1%
9 5
 
2.2%
8 5
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 277
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 46
16.6%
0 45
16.2%
6 41
14.8%
3 39
14.1%
2 28
10.1%
4 20
7.2%
5 19
6.9%
7 15
 
5.4%
1 14
 
5.1%
9 5
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 46
16.6%
0 45
16.2%
6 41
14.8%
3 39
14.1%
2 28
10.1%
4 20
7.2%
5 19
6.9%
7 15
 
5.4%
1 14
 
5.1%
9 5
 
1.8%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
농촌활력과
23 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농촌활력과 23
100.0%

Length

2024-03-14T10:57:15.291730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:57:15.368206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농촌활력과 23
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
공개
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 23
100.0%

Length

2024-03-14T10:57:15.440050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:57:15.509783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 23
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
2016.7월
23 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2016.7월
2nd row2016.7월
3rd row2016.7월
4th row2016.7월
5th row2016.7월

Common Values

ValueCountFrequency (%)
2016.7월 23
100.0%

Length

2024-03-14T10:57:15.594265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:57:15.693694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2016.7월 23
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size316.0 B
1년
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 23
100.0%

Length

2024-03-14T10:57:15.803849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:57:15.875335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 23
100.0%

Interactions

2024-03-14T10:57:12.244696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T10:57:15.931732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번직매장 위치직매장명대표자주 소개장일전화번호
순번1.0000.5931.0000.7381.0001.0001.000
직매장 위치0.5931.0001.0000.9811.0001.0001.000
직매장명1.0001.0001.0001.0001.0001.0001.000
대표자0.7380.9811.0001.0001.0001.0001.000
주 소1.0001.0001.0001.0001.0001.0001.000
개장일1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2024-03-14T10:57:16.033415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번직매장 위치
순번1.0000.000
직매장 위치0.0001.000

Missing values

2024-03-14T10:57:12.558302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:57:12.701032image/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

순번직매장 위치직매장명대표자주 소개장일전화번호자료출처공개여부작성일갱신주기
01완주군완주 용진농협정완철완주군 용진읍 완주로 1872012-04-27063-243-7009농촌활력과공개2016.7월1년
12전주시해피스테이션 효자점안대성전주시 완산구 우전1길 40-332012-10-31063-253-5760농촌활력과공개2016.7월1년
23완주군완주 상관농협이재욱완주군 상관면 신리로 532013-07-04063-280-6203농촌활력과공개2016.7월1년
34완주군완주 고산농협국영석완주군 고산면 고산로 772013-07-25063-260-7592농촌활력과공개2016.7월1년
45완주군해피스테이션 모악점안대성완주군 구이면 모악산길 952013-07-27063-253-5761농촌활력과공개2016.7월1년
56순창군순창로컬순창군순창군 순창읍 민속마을길 5-42013-10-28063-650-5147농촌활력과공개2016.7월1년
67완주군완주 소양농협유해광완주군 소양면 소양로 2302013-11-26063-240-2626농촌활력과공개2016.7월1년
78군산시대야농협 박물관민윤기군산시 해망로 2242013-12-06063-443-1115농촌활력과공개2016.7월1년
89완주군완주 봉동농협김운회완주군 봉동읍 삼봉로 908-52013-12-19063-262-9933농촌활력과공개2016.7월1년
910전주시해피스테이션 하가점안대성전주시 덕진구 가련산로 26-72014-01-29063-902-5760농촌활력과공개2016.7월1년
순번직매장 위치직매장명대표자주 소개장일전화번호자료출처공개여부작성일갱신주기
1314김제시동김제농협장창호김제시 금구면 애통길 130-12014-07-10063-547-6633농촌활력과공개2016.7월1년
1415정읍시정읍원예농협손사선정읍시 시기1길 32014-11-13063-535-4234농촌활력과공개2016.7월1년
1516완주군둔산점유승재완주군 봉동읍 둔산3로 942015-01-22063-262-2266농촌활력과공개2016.7월1년
1617진안군진안마을강주현진안군 진안읍 마이산로 1542015-04-15063-432-0245농촌활력과공개2016.7월1년
1718전주시용진농협 효자점정완철전주시 완산구 유연로 282015-09-22063-228-7010농촌활력과공개2016.7월1년
1819전주시전주푸드정천섭전주시 덕진구 송천1가 24-22015-12-04063-211-2151농촌활력과공개2016.7월1년
1920전주시(도청)로컬푸드 체험판매장강태호전주시 완산구 효자로 2252015-12-08063-240-3142농촌활력과공개2016.7월1년
2021남원시남원원예농협방금원남원시 오들로 492016-02-01063-636-8710농촌활력과공개2016.7월1년
2122익산시익산로컬박경원익산시 어양동 481-12016-03-10063-834-0701농촌활력과공개2016.7월1년
2223전주시해피스테이션 삼천점안대성전주시 완산구 삼천천변2길 372016-03-21070-4727-0341농촌활력과공개2016.7월1년