Overview

Dataset statistics

Number of variables11
Number of observations2105
Missing cells1013
Missing cells (%)4.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory183.1 KiB
Average record size in memory89.1 B

Variable types

Numeric1
Categorical7
Text2
Unsupported1

Alerts

업종 has constant value ""Constant
주메뉴 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
전화번호 has 1013 (48.1%) missing valuesMissing
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 03:08:13.127712
Analysis finished2024-03-14 03:08:13.904735
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct2103
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1063.4561
Minimum1
Maximum2127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size18.6 KiB
2024-03-14T12:08:13.963770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile108.2
Q1535
median1061
Q31595
95-th percentile2019.8
Maximum2127
Range2126
Interquartile range (IQR)1060

Descriptive statistics

Standard deviation612.71994
Coefficient of variation (CV)0.57615915
Kurtosis-1.1944141
Mean1063.4561
Median Absolute Deviation (MAD)530
Skewness0.0024231299
Sum2238575
Variance375425.73
MonotonicityIncreasing
2024-03-14T12:08:14.097921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1030 2
 
0.1%
1017 2
 
0.1%
1412 1
 
< 0.1%
1425 1
 
< 0.1%
1424 1
 
< 0.1%
1423 1
 
< 0.1%
1422 1
 
< 0.1%
1421 1
 
< 0.1%
1420 1
 
< 0.1%
1419 1
 
< 0.1%
Other values (2093) 2093
99.4%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
2127 1
< 0.1%
2126 1
< 0.1%
2125 1
< 0.1%
2124 1
< 0.1%
2123 1
< 0.1%
2122 1
< 0.1%
2121 1
< 0.1%
2120 1
< 0.1%
2119 1
< 0.1%
2118 1
< 0.1%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
전주시
255 
완주군
251 
정읍시
197 
진안군
193 
익산시
169 
Other values (9)
1040 

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 (%)
전주시 255
12.1%
완주군 251
11.9%
정읍시 197
9.4%
진안군 193
9.2%
익산시 169
8.0%
군산시 158
7.5%
순창군 150
7.1%
고창군 147
7.0%
남원시 135
6.4%
부안군 135
6.4%
Other values (4) 315
15.0%

Length

2024-03-14T12:08:14.201949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 255
12.1%
완주군 251
11.9%
정읍시 197
9.4%
진안군 193
9.2%
익산시 169
8.0%
군산시 158
7.5%
순창군 150
7.1%
고창군 147
7.0%
남원시 135
6.4%
부안군 135
6.4%
Other values (4) 315
15.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
식품제조가공업
2105 

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 2105
100.0%

Length

2024-03-14T12:08:14.293597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:08:14.393982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 2105
100.0%

업소명
Text

Distinct2077
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-03-14T12:08:14.623116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length7.9477435
Min length2

Characters and Unicode

Total characters16730
Distinct characters637
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2051 ?
Unique (%)97.4%

Sample

1st row토속한과
2nd row태양제과
3rd row태봉제과
4th row보배제과
5th row삼성식품(맛어묵)
ValueCountFrequency (%)
영농조합법인 98
 
3.7%
농업회사법인 71
 
2.6%
주식회사 54
 
2.0%
유한회사 34
 
1.3%
주 14
 
0.5%
홍삼 12
 
0.4%
식품 9
 
0.3%
농장 7
 
0.3%
농원 5
 
0.2%
지리산 5
 
0.2%
Other values (2256) 2371
88.5%
2024-03-14T12:08:14.965996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 684
 
4.1%
575
 
3.4%
식 566
 
3.4%
인 544
 
3.3%
법 494
 
3.0%
품 450
 
2.7%
주 420
 
2.5%
사 420
 
2.5%
조 410
 
2.5%
합 406
 
2.4%
Other values (627) 11761
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15295
91.4%
Space Separator 575
 
3.4%
Close Punctuation 357
 
2.1%
Open Punctuation 352
 
2.1%
Uppercase Letter 56
 
0.3%
Lowercase Letter 43
 
0.3%
Decimal Number 32
 
0.2%
Other Punctuation 18
 
0.1%
Dash Punctuation 1
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 684
 
4.5%
식 566
 
3.7%
인 544
 
3.6%
법 494
 
3.2%
품 450
 
2.9%
주 420
 
2.7%
사 420
 
2.7%
조 410
 
2.7%
합 406
 
2.7%
영 381
 
2.5%
Other values (580) 10520
68.8%
Lowercase Letter
ValueCountFrequency (%)
e 7
16.3%
o 7
16.3%
a 5
11.6%
s 4
9.3%
t 3
7.0%
r 3
7.0%
i 3
7.0%
f 2
 
4.7%
h 2
 
4.7%
u 1
 
2.3%
Other values (6) 6
14.0%
Uppercase Letter
ValueCountFrequency (%)
F 13
23.2%
O 9
16.1%
D 6
10.7%
B 4
 
7.1%
T 4
 
7.1%
H 4
 
7.1%
M 3
 
5.4%
L 2
 
3.6%
S 2
 
3.6%
J 2
 
3.6%
Other values (5) 7
12.5%
Decimal Number
ValueCountFrequency (%)
2 15
46.9%
1 9
28.1%
3 3
 
9.4%
9 2
 
6.2%
6 1
 
3.1%
8 1
 
3.1%
5 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
& 8
44.4%
. 8
44.4%
· 1
 
5.6%
, 1
 
5.6%
Space Separator
ValueCountFrequency (%)
575
100.0%
Close Punctuation
ValueCountFrequency (%)
) 357
100.0%
Open Punctuation
ValueCountFrequency (%)
( 352
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15291
91.4%
Common 1336
 
8.0%
Latin 99
 
0.6%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 684
 
4.5%
식 566
 
3.7%
인 544
 
3.6%
법 494
 
3.2%
품 450
 
2.9%
주 420
 
2.7%
사 420
 
2.7%
조 410
 
2.7%
합 406
 
2.7%
영 381
 
2.5%
Other values (576) 10516
68.8%
Latin
ValueCountFrequency (%)
F 13
 
13.1%
O 9
 
9.1%
e 7
 
7.1%
o 7
 
7.1%
D 6
 
6.1%
a 5
 
5.1%
s 4
 
4.0%
B 4
 
4.0%
T 4
 
4.0%
H 4
 
4.0%
Other values (21) 36
36.4%
Common
ValueCountFrequency (%)
575
43.0%
) 357
26.7%
( 352
26.3%
2 15
 
1.1%
1 9
 
0.7%
& 8
 
0.6%
. 8
 
0.6%
3 3
 
0.2%
9 2
 
0.1%
· 1
 
0.1%
Other values (6) 6
 
0.4%
Han
ValueCountFrequency (%)
美 1
25.0%
家 1
25.0%
氣 1
25.0%
蔘 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15291
91.4%
ASCII 1434
 
8.6%
CJK 4
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 684
 
4.5%
식 566
 
3.7%
인 544
 
3.6%
법 494
 
3.2%
품 450
 
2.9%
주 420
 
2.7%
사 420
 
2.7%
조 410
 
2.7%
합 406
 
2.7%
영 381
 
2.5%
Other values (576) 10516
68.8%
ASCII
ValueCountFrequency (%)
575
40.1%
) 357
24.9%
( 352
24.5%
2 15
 
1.0%
F 13
 
0.9%
1 9
 
0.6%
O 9
 
0.6%
& 8
 
0.6%
. 8
 
0.6%
e 7
 
0.5%
Other values (36) 81
 
5.6%
CJK
ValueCountFrequency (%)
美 1
25.0%
家 1
25.0%
氣 1
25.0%
蔘 1
25.0%
None
ValueCountFrequency (%)
· 1
100.0%

주메뉴
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
_
2105 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
_ 2105
100.0%

Length

2024-03-14T12:08:15.068717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:08:15.152537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2105
100.0%

전화번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1013
Missing (%)48.1%
Memory size16.6 KiB

도로명주소
Text

Distinct2045
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2024-03-14T12:08:15.413695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length55
Mean length23.543468
Min length15

Characters and Unicode

Total characters49559
Distinct characters368
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1996 ?
Unique (%)94.8%

Sample

1st row전라북도 전주시 완산구 태평3길 74-13, (태평동)
2nd row전라북도 전주시 완산구 고덕산1길 46-52, (대성동)
3rd row전라북도 전주시 완산구 팔달로 94-2, (전동,외1필지)
4th row전라북도 전주시 완산구 풍남문4길 18, (중앙동4가)
5th row전라북도 전주시 완산구 풍남문2길 124, (전동3가)
ValueCountFrequency (%)
전라북도 2097
 
19.0%
전주시 255
 
2.3%
완주군 251
 
2.3%
정읍시 197
 
1.8%
진안군 193
 
1.7%
익산시 169
 
1.5%
군산시 158
 
1.4%
순창군 150
 
1.4%
고창군 147
 
1.3%
완산구 137
 
1.2%
Other values (3048) 7306
66.1%
2024-03-14T12:08:15.819369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8956
 
18.1%
전 2429
 
4.9%
북 2192
 
4.4%
도 2123
 
4.3%
라 2114
 
4.3%
1 1801
 
3.6%
군 1264
 
2.6%
2 1218
 
2.5%
면 1202
 
2.4%
길 1154
 
2.3%
Other values (358) 25106
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30125
60.8%
Space Separator 8956
 
18.1%
Decimal Number 7583
 
15.3%
Dash Punctuation 915
 
1.8%
Other Punctuation 717
 
1.4%
Open Punctuation 624
 
1.3%
Close Punctuation 624
 
1.3%
Uppercase Letter 11
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2429
 
8.1%
북 2192
 
7.3%
도 2123
 
7.0%
라 2114
 
7.0%
군 1264
 
4.2%
면 1202
 
4.0%
길 1154
 
3.8%
시 1057
 
3.5%
산 947
 
3.1%
로 917
 
3.0%
Other values (336) 14726
48.9%
Decimal Number
ValueCountFrequency (%)
1 1801
23.8%
2 1218
16.1%
3 825
10.9%
4 679
 
9.0%
6 585
 
7.7%
5 584
 
7.7%
7 504
 
6.6%
8 487
 
6.4%
0 462
 
6.1%
9 438
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 5
45.5%
A 4
36.4%
C 1
 
9.1%
D 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 712
99.3%
. 4
 
0.6%
@ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8956
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 915
100.0%
Open Punctuation
ValueCountFrequency (%)
( 624
100.0%
Close Punctuation
ValueCountFrequency (%)
) 624
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30125
60.8%
Common 19423
39.2%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2429
 
8.1%
북 2192
 
7.3%
도 2123
 
7.0%
라 2114
 
7.0%
군 1264
 
4.2%
면 1202
 
4.0%
길 1154
 
3.8%
시 1057
 
3.5%
산 947
 
3.1%
로 917
 
3.0%
Other values (336) 14726
48.9%
Common
ValueCountFrequency (%)
8956
46.1%
1 1801
 
9.3%
2 1218
 
6.3%
- 915
 
4.7%
3 825
 
4.2%
, 712
 
3.7%
4 679
 
3.5%
( 624
 
3.2%
) 624
 
3.2%
6 585
 
3.0%
Other values (8) 2484
 
12.8%
Latin
ValueCountFrequency (%)
B 5
45.5%
A 4
36.4%
C 1
 
9.1%
D 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30125
60.8%
ASCII 19434
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8956
46.1%
1 1801
 
9.3%
2 1218
 
6.3%
- 915
 
4.7%
3 825
 
4.2%
, 712
 
3.7%
4 679
 
3.5%
( 624
 
3.2%
) 624
 
3.2%
6 585
 
3.0%
Other values (12) 2495
 
12.8%
Hangul
ValueCountFrequency (%)
전 2429
 
8.1%
북 2192
 
7.3%
도 2123
 
7.0%
라 2114
 
7.0%
군 1264
 
4.2%
면 1202
 
4.0%
길 1154
 
3.8%
시 1057
 
3.5%
산 947
 
3.1%
로 917
 
3.0%
Other values (336) 14726
48.9%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
건강안전과
2105 

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 2105
100.0%

Length

2024-03-14T12:08:15.936444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:08:16.011809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건강안전과 2105
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
공개
2105 

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 2105
100.0%

Length

2024-03-14T12:08:16.090276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:08:16.182028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 2105
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
2017.04.
2105 

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. 2105
100.0%

Length

2024-03-14T12:08:16.275570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:08:16.369831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017.04 2105
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.6 KiB
1년
2105 

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 2105
100.0%

Length

2024-03-14T12:08:16.477240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:08:16.589822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 2105
100.0%

Interactions

2024-03-14T12:08:13.639520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T12:08:16.657301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명
순번1.0000.973
시군명0.9731.000
2024-03-14T12:08:16.736779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명
순번1.0000.880
시군명0.8801.000

Missing values

2024-03-14T12:08:13.737039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:08:13.853305image/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

순번시군명업종업소명주메뉴전화번호도로명주소자료출처공개여부작성일갱신주기
01전주시식품제조가공업토속한과_063-244-9282전라북도 전주시 완산구 태평3길 74-13, (태평동)건강안전과공개2017.04.1년
12전주시식품제조가공업태양제과_NaN전라북도 전주시 완산구 고덕산1길 46-52, (대성동)건강안전과공개2017.04.1년
23전주시식품제조가공업태봉제과_NaN전라북도 전주시 완산구 팔달로 94-2, (전동,외1필지)건강안전과공개2017.04.1년
34전주시식품제조가공업보배제과_NaN전라북도 전주시 완산구 풍남문4길 18, (중앙동4가)건강안전과공개2017.04.1년
45전주시식품제조가공업삼성식품(맛어묵)_NaN전라북도 전주시 완산구 풍남문2길 124, (전동3가)건강안전과공개2017.04.1년
56전주시식품제조가공업송철국수_NaN전라북도 전주시 완산구 전주천서로 137-5, (동완산동)건강안전과공개2017.04.1년
67전주시식품제조가공업온고을한과_063-2882-120전라북도 전주시 완산구 풍남문2길 104, (전동3가)건강안전과공개2017.04.1년
78전주시식품제조가공업주식회사풍년제과_063-226-2737전라북도 전주시 완산구 장승배기로 130, (평화동2가)건강안전과공개2017.04.1년
89전주시식품제조가공업전주제제염사_NaN전라북도 전주시 완산구 팔달로 52, (서서학동)건강안전과공개2017.04.1년
910전주시식품제조가공업오성제과_NaN전라북도 전주시 완산구 풍남문4길 17, (중앙동4가)건강안전과공개2017.04.1년
순번시군명업종업소명주메뉴전화번호도로명주소자료출처공개여부작성일갱신주기
20952118부안군식품제조가공업동경영어영농조합법인_NaN전라북도 부안군 계화면 창북길 28-1건강안전과공개2017.04.1년
20962119부안군식품제조가공업모항 새벽이네_NaN전라북도 부안군 변산면 모항안길 16건강안전과공개2017.04.1년
20972120부안군식품제조가공업계화한상_NaN전북 부안군 부안읍 서외리 161-7건강안전과공개2017.04.1년
20982121부안군식품제조가공업유한회사 민채_NaN전라북도 부안군 동진면 동진로 195건강안전과공개2017.04.1년
20992122부안군식품제조가공업해달촌토속식품_NaN전라북도 부안군 하서면 내변산로 1647건강안전과공개2017.04.1년
21002123부안군식품제조가공업곰소바른젓갈_NaN전라북도 부안군 변산면 닭이봉길 18-16건강안전과공개2017.04.1년
21012124부안군식품제조가공업해피파머스 협동조합_NaN전라북도 부안군 줄포면 줄포중앙로 46-4건강안전과공개2017.04.1년
21022125부안군식품제조가공업美`s 고(미스고)_NaN전라북도 부안군 부안읍 동중길 26건강안전과공개2017.04.1년
21032126부안군식품제조가공업위더스푸드협동조합_NaN전라북도 부안군 진서면 진서리 1219-73건강안전과공개2017.04.1년
21042127부안군식품제조가공업떡내음가득 시루떡_NaN전라북도 부안군 진서면 청자로 957건강안전과공개2017.04.1년