Overview

Dataset statistics

Number of variables11
Number of observations108
Missing cells51
Missing cells (%)4.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.5 KiB
Average record size in memory90.2 B

Variable types

Numeric1
Categorical7
Text3

Alerts

업종별 has constant value ""Constant
자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
업태 is highly imbalanced (61.9%)Imbalance
전화번호 has 51 (47.2%) missing valuesMissing
순번 has unique valuesUnique
업소명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:35:23.936958
Analysis finished2024-03-14 00:35:24.657298
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.5
Minimum1
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-03-14T09:35:24.714339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.35
Q127.75
median54.5
Q381.25
95-th percentile102.65
Maximum108
Range107
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation31.32092
Coefficient of variation (CV)0.57469577
Kurtosis-1.2
Mean54.5
Median Absolute Deviation (MAD)27
Skewness0
Sum5886
Variance981
MonotonicityStrictly increasing
2024-03-14T09:35:24.823697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
70 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
75 1
 
0.9%
74 1
 
0.9%
Other values (98) 98
90.7%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%
101 1
0.9%
100 1
0.9%
99 1
0.9%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
완주군
23 
익산시
15 
전주시
9 
순창군
8 
정읍시
7 
Other values (9)
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 23
21.3%
익산시 15
13.9%
전주시 9
 
8.3%
순창군 8
 
7.4%
정읍시 7
 
6.5%
부안군 7
 
6.5%
장수군 6
 
5.6%
고창군 6
 
5.6%
군산시 5
 
4.6%
남원시 5
 
4.6%
Other values (4) 17
15.7%

Length

2024-03-14T09:35:24.922528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주군 23
21.3%
익산시 15
13.9%
전주시 9
 
8.3%
순창군 8
 
7.4%
정읍시 7
 
6.5%
부안군 7
 
6.5%
장수군 6
 
5.6%
고창군 6
 
5.6%
군산시 5
 
4.6%
남원시 5
 
4.6%
Other values (4) 17
15.7%

업종별
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
식품제조가공업
108 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 108
100.0%

Length

2024-03-14T09:35:25.033903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:35:25.162221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 108
100.0%

업소명
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-03-14T09:35:25.405698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.7685185
Min length2

Characters and Unicode

Total characters947
Distinct characters191
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row유한회사맛디자인
2nd row위대한밥상
3rd row농업회사법인(유)귀농해
4th row베테랑푸드
5th row골동반식품
ValueCountFrequency (%)
농업회사법인 8
 
5.6%
주식회사 6
 
4.2%
영농조합법인 4
 
2.8%
주 2
 
1.4%
전통식품 2
 
1.4%
다원식품 1
 
0.7%
부귀농협마이산김치 1
 
0.7%
참식품 1
 
0.7%
백운 1
 
0.7%
유한회사맛디자인 1
 
0.7%
Other values (115) 115
81.0%
2024-03-14T09:35:25.747177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 53
 
5.6%
농 44
 
4.6%
품 43
 
4.5%
인 38
 
4.0%
사 36
 
3.8%
법 35
 
3.7%
34
 
3.6%
회 32
 
3.4%
주 25
 
2.6%
합 24
 
2.5%
Other values (181) 583
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 864
91.2%
Space Separator 34
 
3.6%
Open Punctuation 23
 
2.4%
Close Punctuation 23
 
2.4%
Uppercase Letter 2
 
0.2%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 53
 
6.1%
농 44
 
5.1%
품 43
 
5.0%
인 38
 
4.4%
사 36
 
4.2%
법 35
 
4.1%
회 32
 
3.7%
주 25
 
2.9%
합 24
 
2.8%
조 22
 
2.5%
Other values (175) 512
59.3%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
M 1
50.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 864
91.2%
Common 81
 
8.6%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 53
 
6.1%
농 44
 
5.1%
품 43
 
5.0%
인 38
 
4.4%
사 36
 
4.2%
법 35
 
4.1%
회 32
 
3.7%
주 25
 
2.9%
합 24
 
2.8%
조 22
 
2.5%
Other values (175) 512
59.3%
Common
ValueCountFrequency (%)
34
42.0%
( 23
28.4%
) 23
28.4%
2 1
 
1.2%
Latin
ValueCountFrequency (%)
G 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 864
91.2%
ASCII 83
 
8.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 53
 
6.1%
농 44
 
5.1%
품 43
 
5.0%
인 38
 
4.4%
사 36
 
4.2%
법 35
 
4.1%
회 32
 
3.7%
주 25
 
2.9%
합 24
 
2.8%
조 22
 
2.5%
Other values (175) 512
59.3%
ASCII
ValueCountFrequency (%)
34
41.0%
( 23
27.7%
) 23
27.7%
G 1
 
1.2%
M 1
 
1.2%
2 1
 
1.2%

업태
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size996.0 B
식품제조가공업
94 
기타 식품제조가공업
13 
도시락제조업
 
1

Length

Max length10
Median length7
Mean length7.3518519
Min length6

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row식품제조가공업
2nd row도시락제조업
3rd row식품제조가공업
4th row기타 식품제조가공업
5th row식품제조가공업

Common Values

ValueCountFrequency (%)
식품제조가공업 94
87.0%
기타 식품제조가공업 13
 
12.0%
도시락제조업 1
 
0.9%

Length

2024-03-14T09:35:25.855354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:35:25.932698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 107
88.4%
기타 13
 
10.7%
도시락제조업 1
 
0.8%

도로명주소
Text

UNIQUE 

Distinct108
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size996.0 B
2024-03-14T09:35:26.163207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length22.712963
Min length18

Characters and Unicode

Total characters2453
Distinct characters152
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique108 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 춘향로 5237, (대성동)
2nd row전라북도 전주시 완산구 한두평4길 17, (중화산동2가)
3rd row전라북도 전주시 완산구 중산5길 8-14, (중화산동2가)
4th row전라북도 전주시 완산구 모악로 4673, (평화동2가)
5th row전라북도 전주시 덕진구 호반2길 17, (덕진동2가)
ValueCountFrequency (%)
전라북도 108
 
19.6%
완주군 23
 
4.2%
익산시 15
 
2.7%
전주시 9
 
1.6%
순창군 8
 
1.5%
부안군 7
 
1.3%
정읍시 7
 
1.3%
이서면 6
 
1.1%
고창군 6
 
1.1%
장수군 6
 
1.1%
Other values (274) 355
64.5%
2024-03-14T09:35:26.549560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
 
18.1%
전 118
 
4.8%
북 112
 
4.6%
도 108
 
4.4%
라 108
 
4.4%
1 77
 
3.1%
군 68
 
2.8%
로 63
 
2.6%
산 63
 
2.6%
면 61
 
2.5%
Other values (142) 1232
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1500
61.1%
Space Separator 443
 
18.1%
Decimal Number 385
 
15.7%
Dash Punctuation 46
 
1.9%
Other Punctuation 27
 
1.1%
Open Punctuation 26
 
1.1%
Close Punctuation 26
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 118
 
7.9%
북 112
 
7.5%
도 108
 
7.2%
라 108
 
7.2%
군 68
 
4.5%
로 63
 
4.2%
산 63
 
4.2%
면 61
 
4.1%
길 52
 
3.5%
시 47
 
3.1%
Other values (127) 700
46.7%
Decimal Number
ValueCountFrequency (%)
1 77
20.0%
2 60
15.6%
3 44
11.4%
4 42
10.9%
5 37
9.6%
6 29
 
7.5%
9 26
 
6.8%
8 26
 
6.8%
7 24
 
6.2%
0 20
 
5.2%
Space Separator
ValueCountFrequency (%)
443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1500
61.1%
Common 953
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 118
 
7.9%
북 112
 
7.5%
도 108
 
7.2%
라 108
 
7.2%
군 68
 
4.5%
로 63
 
4.2%
산 63
 
4.2%
면 61
 
4.1%
길 52
 
3.5%
시 47
 
3.1%
Other values (127) 700
46.7%
Common
ValueCountFrequency (%)
443
46.5%
1 77
 
8.1%
2 60
 
6.3%
- 46
 
4.8%
3 44
 
4.6%
4 42
 
4.4%
5 37
 
3.9%
6 29
 
3.0%
, 27
 
2.8%
( 26
 
2.7%
Other values (5) 122
 
12.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1500
61.1%
ASCII 953
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
46.5%
1 77
 
8.1%
2 60
 
6.3%
- 46
 
4.8%
3 44
 
4.6%
4 42
 
4.4%
5 37
 
3.9%
6 29
 
3.0%
, 27
 
2.8%
( 26
 
2.7%
Other values (5) 122
 
12.8%
Hangul
ValueCountFrequency (%)
전 118
 
7.9%
북 112
 
7.5%
도 108
 
7.2%
라 108
 
7.2%
군 68
 
4.5%
로 63
 
4.2%
산 63
 
4.2%
면 61
 
4.1%
길 52
 
3.5%
시 47
 
3.1%
Other values (127) 700
46.7%

전화번호
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing51
Missing (%)47.2%
Memory size996.0 B
2024-03-14T09:35:26.755982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length10.842105
Min length4

Characters and Unicode

Total characters618
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

Unique57 ?
Unique (%)100.0%

Sample

1st row-7805
2nd row06-3464-7310
3rd row-4916
4th row063-855-9195
5th row063-831-7715
ValueCountFrequency (%)
0063-0626-6000 1
 
1.8%
063-262-3989 1
 
1.8%
2287 1
 
1.8%
582 1
 
1.8%
063-433-5356 1
 
1.8%
9588 1
 
1.8%
055-286-5060 1
 
1.8%
063-433-1661 1
 
1.8%
063-322-8180 1
 
1.8%
063-324-0331 1
 
1.8%
Other values (47) 47
82.5%
2024-03-14T09:35:27.070999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.8%
3 94
15.2%
6 86
13.9%
0 84
13.6%
2 56
9.1%
5 45
7.3%
8 39
 
6.3%
1 37
 
6.0%
4 31
 
5.0%
7 23
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 514
83.2%
Dash Punctuation 104
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 94
18.3%
6 86
16.7%
0 84
16.3%
2 56
10.9%
5 45
8.8%
8 39
7.6%
1 37
 
7.2%
4 31
 
6.0%
7 23
 
4.5%
9 19
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 618
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.8%
3 94
15.2%
6 86
13.9%
0 84
13.6%
2 56
9.1%
5 45
7.3%
8 39
 
6.3%
1 37
 
6.0%
4 31
 
5.0%
7 23
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 618
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.8%
3 94
15.2%
6 86
13.9%
0 84
13.6%
2 56
9.1%
5 45
7.3%
8 39
 
6.3%
1 37
 
6.0%
4 31
 
5.0%
7 23
 
3.7%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
건강안전과
108 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건강안전과 108
100.0%

Length

2024-03-14T09:35:27.227068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:35:27.414439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강안전과 108
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
공개
108 

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 108
100.0%

Length

2024-03-14T09:35:27.572381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:35:27.679857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 108
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
2017.04.
108 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017.04.
2nd row2017.04.
3rd row2017.04.
4th row2017.04.
5th row2017.04.

Common Values

ValueCountFrequency (%)
2017.04. 108
100.0%

Length

2024-03-14T09:35:27.797383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:35:27.876395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.04 108
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size996.0 B
1년
108 

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 108
100.0%

Length

2024-03-14T09:35:27.973714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:35:28.044423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 108
100.0%

Interactions

2024-03-14T09:35:24.404302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:35:28.087952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명업태전화번호
순번1.0000.9340.2541.000
시군명0.9341.0000.0001.000
업태0.2540.0001.0001.000
전화번호1.0001.0001.0001.000
2024-03-14T09:35:28.161546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업태
시군명1.0000.000
업태0.0001.000
2024-03-14T09:35:28.229882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명업태
순번1.0000.7320.149
시군명0.7321.0000.000
업태0.1490.0001.000

Missing values

2024-03-14T09:35:24.491462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:35:24.610588image/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

순번시군명업종별업소명업태도로명주소전화번호자료출처공개여부작성일갱신주기
01전주시식품제조가공업유한회사맛디자인식품제조가공업전라북도 전주시 완산구 춘향로 5237, (대성동)<NA>건강안전과공개2017.04.1년
12전주시식품제조가공업위대한밥상도시락제조업전라북도 전주시 완산구 한두평4길 17, (중화산동2가)<NA>건강안전과공개2017.04.1년
23전주시식품제조가공업농업회사법인(유)귀농해식품제조가공업전라북도 전주시 완산구 중산5길 8-14, (중화산동2가)<NA>건강안전과공개2017.04.1년
34전주시식품제조가공업베테랑푸드기타 식품제조가공업전라북도 전주시 완산구 모악로 4673, (평화동2가)<NA>건강안전과공개2017.04.1년
45전주시식품제조가공업골동반식품식품제조가공업전라북도 전주시 덕진구 호반2길 17, (덕진동2가)<NA>건강안전과공개2017.04.1년
56전주시식품제조가공업주식회사찬드림식품제조가공업전라북도 전주시 덕진구 신성길 80, (성덕동, 1동)<NA>건강안전과공개2017.04.1년
67전주시식품제조가공업(유)도도랑식품제조가공업전라북도 전주시 덕진구 중상보로 38, (우아동2가)<NA>건강안전과공개2017.04.1년
78전주시식품제조가공업선정식품식품제조가공업전라북도 전주시 덕진구 인교로 3-10, (우아동1가)<NA>건강안전과공개2017.04.1년
89전주시식품제조가공업주식회사마야에프앤에프식품제조가공업전라북도 전주시 덕진구 용소로 78, (송천동1가)<NA>건강안전과공개2017.04.1년
910군산시식품제조가공업(주) 김장독식품제조가공업전라북도 군산시 성산면 송호로 157-5<NA>건강안전과공개2017.04.1년
순번시군명업종별업소명업태도로명주소전화번호자료출처공개여부작성일갱신주기
9899고창군식품제조가공업사임당푸드영농조합법인식품제조가공업전라북도 고창군 고창읍 태봉로 551<NA>건강안전과공개2017.04.1년
99100고창군식품제조가공업(주)케이엔비푸드기타 식품제조가공업전라북도 고창군 흥덕면 선운대로 3619-46<NA>건강안전과공개2017.04.1년
100101부안군식품제조가공업농업회사법인유한회사참뽕푸드식품제조가공업전라북도 부안군 변산면 마포로 193<NA>건강안전과공개2017.04.1년
101102부안군식품제조가공업십일홍식품식품제조가공업전라북도 부안군 진서면 진서리 121-3<NA>건강안전과공개2017.04.1년
102103부안군식품제조가공업한국그린영농조합법인식품제조가공업전라북도 부안군 주산면 사산길 97063-582-2254건강안전과공개2017.04.1년
103104부안군식품제조가공업어업회사법인합명회사대일수산식품식품제조가공업전라북도 부안군 변산면 변산해변로 638-10<NA>건강안전과공개2017.04.1년
104105부안군식품제조가공업지산지공영농조합법인식품제조가공업전라북도 부안군 진서면 내소사로 126<NA>건강안전과공개2017.04.1년
105106부안군식품제조가공업바른먹거리영농조합법인기타 식품제조가공업전라북도 부안군 주산면 부안로 1668-20063-581-8039건강안전과공개2017.04.1년
106107부안군식품제조가공업그린푸드영농조합법인기타 식품제조가공업전라북도 부안군 변산면 마포로 193-5<NA>건강안전과공개2017.04.1년
107108순창군식품제조가공업농업회사법인유한회사새만금푸드기타 식품제조가공업전라북도 순창군 동계면 충효로 242-5063-583-0012건강안전과공개2017.04.1년