Overview

Dataset statistics

Number of variables11
Number of observations45
Missing cells9
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory93.9 B

Variable types

Categorical5
Text3
DateTime1
Numeric1
Unsupported1

Dataset

Description2018년전라북도제조업체총조사김치RAWDATA
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=203128

Alerts

본사소재지 has constant value ""Constant
업종코드2자리 has constant value ""Constant
업력 has 9 (20.0%) missing valuesMissing
주소 has unique valuesUnique
전화번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
업력 has 3 (6.7%) zerosZeros

Reproduction

Analysis started2024-03-14 02:36:08.932429
Analysis finished2024-03-14 02:36:09.603008
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Categorical

Distinct14
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
익산
9 
전주
5 
정읍
4 
부안
4 
진안
3 
Other values (9)
20 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)4.4%

Sample

1st row익산
2nd row전주
3rd row진안
4th row정읍
5th row정읍

Common Values

ValueCountFrequency (%)
익산 9
20.0%
전주 5
11.1%
정읍 4
8.9%
부안 4
8.9%
진안 3
 
6.7%
남원 3
 
6.7%
군산 3
 
6.7%
완주 3
 
6.7%
임실 3
 
6.7%
장수 2
 
4.4%
Other values (4) 6
13.3%

Length

2024-03-14T11:36:09.654501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
익산 9
20.0%
전주 5
11.1%
정읍 4
8.9%
부안 4
8.9%
진안 3
 
6.7%
남원 3
 
6.7%
군산 3
 
6.7%
완주 3
 
6.7%
임실 3
 
6.7%
장수 2
 
4.4%
Other values (4) 6
13.3%

사업체명
Text

Distinct43
Distinct (%)95.6%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T11:36:09.814274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length9.9333333
Min length4

Characters and Unicode

Total characters447
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)91.1%

Sample

1st row농업회사법인(유)하늘김치
2nd row어머니김치
3rd row농업회사법인 대흥식품(유)
4th row정규자식품
5th row아씨김치
ValueCountFrequency (%)
농업회사법인 3
 
6.1%
농업회사법인(주)미가 2
 
4.1%
장수도깨비동굴김치영농조합법인 2
 
4.1%
나누미김장 1
 
2.0%
둘레산둘레강 1
 
2.0%
늘푸른식품 1
 
2.0%
주)케이엔비푸드시스템 1
 
2.0%
농업회사법인(유)하늘김치 1
 
2.0%
유)농업회사법인전라도흥부식품 1
 
2.0%
공여사반찬나라 1
 
2.0%
Other values (35) 35
71.4%
2024-03-14T11:36:10.119032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 25
 
5.6%
) 25
 
5.6%
농 23
 
5.1%
인 22
 
4.9%
법 21
 
4.7%
사 17
 
3.8%
식 17
 
3.8%
품 16
 
3.6%
회 16
 
3.6%
주 16
 
3.6%
Other values (111) 249
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
87.0%
Open Punctuation 25
 
5.6%
Close Punctuation 25
 
5.6%
Space Separator 4
 
0.9%
Uppercase Letter 2
 
0.4%
Decimal Number 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 23
 
5.9%
인 22
 
5.7%
법 21
 
5.4%
사 17
 
4.4%
식 17
 
4.4%
품 16
 
4.1%
회 16
 
4.1%
주 16
 
4.1%
업 14
 
3.6%
김 11
 
2.8%
Other values (104) 216
55.5%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
M 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 390
87.2%
Common 55
 
12.3%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 23
 
5.9%
인 22
 
5.6%
법 21
 
5.4%
사 17
 
4.4%
식 17
 
4.4%
품 16
 
4.1%
회 16
 
4.1%
주 16
 
4.1%
업 14
 
3.6%
김 11
 
2.8%
Other values (105) 217
55.6%
Common
ValueCountFrequency (%)
( 25
45.5%
) 25
45.5%
4
 
7.3%
1 1
 
1.8%
Latin
ValueCountFrequency (%)
G 1
50.0%
M 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
87.0%
ASCII 57
 
12.8%
None 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 25
43.9%
) 25
43.9%
4
 
7.0%
G 1
 
1.8%
M 1
 
1.8%
1 1
 
1.8%
Hangul
ValueCountFrequency (%)
농 23
 
5.9%
인 22
 
5.7%
법 21
 
5.4%
사 17
 
4.4%
식 17
 
4.4%
품 16
 
4.1%
회 16
 
4.1%
주 16
 
4.1%
업 14
 
3.6%
김 11
 
2.8%
Other values (104) 216
55.5%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자 성명
Text

Distinct39
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T11:36:10.331337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters135
Distinct characters65
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

Unique34 ?
Unique (%)75.6%

Sample

1st row이재규
2nd row정봉임
3rd row최인귀
4th row정규자
5th row정규자
ValueCountFrequency (%)
정규자 3
 
6.7%
고석열 2
 
4.4%
김경희 2
 
4.4%
백인수 2
 
4.4%
심현재 2
 
4.4%
이재규 1
 
2.2%
오충근 1
 
2.2%
김정관 1
 
2.2%
오통열 1
 
2.2%
김정환 1
 
2.2%
Other values (29) 29
64.4%
2024-03-14T11:36:10.596398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
9.6%
정 8
 
5.9%
재 5
 
3.7%
열 5
 
3.7%
이 5
 
3.7%
자 4
 
3.0%
경 4
 
3.0%
규 4
 
3.0%
현 3
 
2.2%
오 3
 
2.2%
Other values (55) 81
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 135
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
9.6%
정 8
 
5.9%
재 5
 
3.7%
열 5
 
3.7%
이 5
 
3.7%
자 4
 
3.0%
경 4
 
3.0%
규 4
 
3.0%
현 3
 
2.2%
오 3
 
2.2%
Other values (55) 81
60.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 135
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
9.6%
정 8
 
5.9%
재 5
 
3.7%
열 5
 
3.7%
이 5
 
3.7%
자 4
 
3.0%
경 4
 
3.0%
규 4
 
3.0%
현 3
 
2.2%
오 3
 
2.2%
Other values (55) 81
60.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 135
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
9.6%
정 8
 
5.9%
재 5
 
3.7%
열 5
 
3.7%
이 5
 
3.7%
자 4
 
3.0%
경 4
 
3.0%
규 4
 
3.0%
현 3
 
2.2%
오 3
 
2.2%
Other values (55) 81
60.0%

대표자 성별 (1: 남, 2: 여)
Categorical

Distinct3
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size492.0 B
1
26 
2
18 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0666667
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row1
2nd row2
3rd row1
4th row2
5th row2

Common Values

ValueCountFrequency (%)
1 26
57.8%
2 18
40.0%
<NA> 1
 
2.2%

Length

2024-03-14T11:36:10.714803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:10.837140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 26
57.8%
2 18
40.0%
na 1
 
2.2%

설립일 (yyyy-mm-dd)
Date

Distinct40
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size492.0 B
Minimum1985-08-25 00:00:00
Maximum2017-02-21 00:00:00
2024-03-14T11:36:10.943431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T11:36:11.092204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

업력
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)55.6%
Missing9
Missing (%)20.0%
Infinite0
Infinite (%)0.0%
Mean10.5
Minimum0
Maximum32
Zeros3
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size537.0 B
2024-03-14T11:36:11.199431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.75
median9
Q315.25
95-th percentile23.5
Maximum32
Range32
Interquartile range (IQR)9.5

Descriptive statistics

Standard deviation7.2604604
Coefficient of variation (CV)0.69147242
Kurtosis0.99888354
Mean10.5
Median Absolute Deviation (MAD)5
Skewness0.83232209
Sum378
Variance52.714286
MonotonicityNot monotonic
2024-03-14T11:36:11.285808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8 5
11.1%
16 4
 
8.9%
0 3
 
6.7%
9 3
 
6.7%
3 2
 
4.4%
6 2
 
4.4%
4 2
 
4.4%
14 2
 
4.4%
10 2
 
4.4%
15 1
 
2.2%
Other values (10) 10
22.2%
(Missing) 9
20.0%
ValueCountFrequency (%)
0 3
6.7%
1 1
 
2.2%
3 2
 
4.4%
4 2
 
4.4%
5 1
 
2.2%
6 2
 
4.4%
8 5
11.1%
9 3
6.7%
10 2
 
4.4%
11 1
 
2.2%
ValueCountFrequency (%)
32 1
 
2.2%
25 1
 
2.2%
23 1
 
2.2%
19 1
 
2.2%
17 1
 
2.2%
16 4
8.9%
15 1
 
2.2%
14 2
4.4%
13 1
 
2.2%
12 1
 
2.2%

본사소재지
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
전북
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전북 45
100.0%

Length

2024-03-14T11:36:11.405388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:11.482607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전북 45
100.0%

업종코드2자리
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
10
45 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 45
100.0%

Length

2024-03-14T11:36:11.555336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:36:11.629116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 45
100.0%

주생산품
Categorical

Distinct19
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
김치제조
14 
김치
8 
김치류
4 
김치류 제조업 외 1 종
2 
김치,장류제조
2 
Other values (14)
15 

Length

Max length16
Median length12
Mean length5.8444444
Min length2

Unique

Unique13 ?
Unique (%)28.9%

Sample

1st row김치제조
2nd row김치반찬류
3rd row김치,홍삼발효소금
4th row김치제조
5th row김치제조

Common Values

ValueCountFrequency (%)
김치제조 14
31.1%
김치 8
17.8%
김치류 4
 
8.9%
김치류 제조업 외 1 종 2
 
4.4%
김치,장류제조 2
 
4.4%
김치 제조 2
 
4.4%
김치,과실,채소절임식품 1
 
2.2%
김치,홍삼발효소금 1
 
2.2%
김치 제조,도소매 1
 
2.2%
김치류 제조 1
 
2.2%
Other values (9) 9
20.0%

Length

2024-03-14T11:36:11.721178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김치제조 14
22.6%
김치 11
17.7%
김치류 7
11.3%
제조 6
9.7%
종 2
 
3.2%
김치,장류제조 2
 
3.2%
제조,도소매 2
 
3.2%
1 2
 
3.2%
외 2
 
3.2%
제조업 2
 
3.2%
Other values (12) 12
19.4%

주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2024-03-14T11:36:11.976375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length21
Mean length18.8
Min length10

Characters and Unicode

Total characters846
Distinct characters119
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

Unique45 ?
Unique (%)100.0%

Sample

1st row익산시 왕궁면 오포길 127
2nd row 전주시 완산구 삼천천변1길 22, 111동 105호
3rd row진안군 진안읍 대연장길 19
4th row 정읍시 정읍사로 121
5th row 정읍시 정읍사로 121
ValueCountFrequency (%)
익산시 9
 
5.0%
전주시 5
 
2.8%
부안군 4
 
2.2%
정읍시 4
 
2.2%
진안군 3
 
1.7%
남원시 3
 
1.7%
군산시 3
 
1.7%
121 3
 
1.7%
정읍사로 3
 
1.7%
완주군 3
 
1.7%
Other values (114) 139
77.7%
2024-03-14T11:36:12.379902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
251
29.7%
1 36
 
4.3%
면 28
 
3.3%
산 27
 
3.2%
시 25
 
3.0%
군 24
 
2.8%
로 24
 
2.8%
2 24
 
2.8%
길 22
 
2.6%
3 21
 
2.5%
Other values (109) 364
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 417
49.3%
Space Separator 251
29.7%
Decimal Number 157
 
18.6%
Dash Punctuation 18
 
2.1%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 28
 
6.7%
산 27
 
6.5%
시 25
 
6.0%
군 24
 
5.8%
로 24
 
5.8%
길 22
 
5.3%
안 14
 
3.4%
읍 12
 
2.9%
익 11
 
2.6%
정 9
 
2.2%
Other values (94) 221
53.0%
Decimal Number
ValueCountFrequency (%)
1 36
22.9%
2 24
15.3%
3 21
13.4%
5 16
10.2%
4 15
9.6%
6 12
 
7.6%
7 12
 
7.6%
9 10
 
6.4%
8 7
 
4.5%
0 4
 
2.5%
Space Separator
ValueCountFrequency (%)
251
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 429
50.7%
Hangul 417
49.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 28
 
6.7%
산 27
 
6.5%
시 25
 
6.0%
군 24
 
5.8%
로 24
 
5.8%
길 22
 
5.3%
안 14
 
3.4%
읍 12
 
2.9%
익 11
 
2.6%
정 9
 
2.2%
Other values (94) 221
53.0%
Common
ValueCountFrequency (%)
251
58.5%
1 36
 
8.4%
2 24
 
5.6%
3 21
 
4.9%
- 18
 
4.2%
5 16
 
3.7%
4 15
 
3.5%
6 12
 
2.8%
7 12
 
2.8%
9 10
 
2.3%
Other values (5) 14
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 429
50.7%
Hangul 417
49.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
251
58.5%
1 36
 
8.4%
2 24
 
5.6%
3 21
 
4.9%
- 18
 
4.2%
5 16
 
3.7%
4 15
 
3.5%
6 12
 
2.8%
7 12
 
2.8%
9 10
 
2.3%
Other values (5) 14
 
3.3%
Hangul
ValueCountFrequency (%)
면 28
 
6.7%
산 27
 
6.5%
시 25
 
6.0%
군 24
 
5.8%
로 24
 
5.8%
길 22
 
5.3%
안 14
 
3.4%
읍 12
 
2.9%
익 11
 
2.6%
정 9
 
2.2%
Other values (94) 221
53.0%

전화번호
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size492.0 B

Interactions

2024-03-14T11:36:09.310462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:36:12.500466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역사업체명대표자 성명대표자 성별 (1: 남, 2: 여)설립일 (yyyy-mm-dd)업력주생산품주소
지역1.0000.9830.9850.5500.9660.0000.5731.000
사업체명0.9831.0001.0001.0001.0001.0000.0001.000
대표자 성명0.9851.0001.0000.9480.9980.9820.9361.000
대표자 성별\n(1: 남, 2: 여)0.5501.0000.9481.0000.8960.3320.0001.000
설립일\n(yyyy-mm-dd)0.9661.0000.9980.8961.0001.0000.9121.000
업력0.0001.0000.9820.3321.0001.0000.0001.000
주생산품0.5730.0000.9360.0000.9120.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
2024-03-14T11:36:12.597410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표자 성별 (1: 남, 2: 여)주생산품지역
대표자 성별\n(1: 남, 2: 여)1.0000.0000.358
주생산품0.0001.0000.177
지역0.3580.1771.000
2024-03-14T11:36:12.672740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업력지역대표자 성별 (1: 남, 2: 여)주생산품
업력1.0000.0280.0000.000
지역0.0281.0000.3580.177
대표자 성별\n(1: 남, 2: 여)0.0000.3581.0000.000
주생산품0.0000.1770.0001.000

Missing values

2024-03-14T11:36:09.406055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:36:09.552712image/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

지역사업체명대표자 성명대표자 성별 (1: 남, 2: 여)설립일 (yyyy-mm-dd)업력본사소재지업종코드2자리주생산품주소전화번호
0익산농업회사법인(유)하늘김치이재규12017-02-210전북10김치제조익산시 왕궁면 오포길 1278323937
1전주어머니김치정봉임22003-02-0314전북10김치반찬류전주시 완산구 삼천천변1길 22, 111동 105호2270320
2진안농업회사법인 대흥식품(유)최인귀12014-10-143전북10김치,홍삼발효소금진안군 진안읍 대연장길 194338879
3정읍정규자식품정규자22008-08-259전북10김치제조정읍시 정읍사로 1215365700
4정읍아씨김치정규자22005-05-1112전북10김치제조정읍시 정읍사로 1215365700
5부안엄마손김치홍미라22008-10-019전북10김치부안군 부안읍 오리정로 1725815535
6남원농업회사법인(주)보감 남원지점심현재12007-08-2810전북10김치남원시 운봉읍 운봉로 5656343399
7장수장수도깨비동굴김치영농조합법인고석열12013-12-304전북10김치 제조,도소매전북 장수군 계남면 가곡길 14-63524194
8부안농업회사법인(유)새만금푸드김순례12017-02-020전북10김치부안군 행안면 옥여길 235830012
9무주반딧불(1공장)박종섭12016-05-011전북10김치류무주군 안성면 공단로 393228050
지역사업체명대표자 성명대표자 성별 (1: 남, 2: 여)설립일 (yyyy-mm-dd)업력본사소재지업종코드2자리주생산품주소전화번호
35전주농업회사법인 보감(주)심현재12007-08-2810전북10김치전주시 덕진구 인교3길 31-32131373
36장수장수도깨비동굴김치영농조합법인고석열12013-12-30<NA>전북10김치제조장수군 계남면 가곡길 14-6010-8001-9291
37김제농업회사법인(주)세아농산박양상12015-11-02<NA>전북10김치류 제조업 외 1 종김제시 황산면 용마로 429-557043496901
38진안참식품(주)이재우12003-05-07<NA>전북10김치제조진안군 진안읍 거북바위로 3길 384339155
39임실둘레산둘레강이미자22008-03-17<NA>전북10김치제조임실군 강진면 강운로976431900
40부안나누미김장노재순22005-05-11<NA>전북10김치부안군 보안면 우동길 13-65846131
41남원지산누리영농조합법인오운록12015-04-15<NA>전북10김치,장류제조남원시 산덕리 266356262
42고창(주)케이엔비푸드시스템김성배12011-10-25<NA>전북10김치류 제조업 외 1 종고창군 흥덕면 선운대로 3619-465611631
43완주늘푸른식품이봉열12015-01-02<NA>전북10김치완주군 삼례읍 신수로 291-112633790
44익산농업회사법인 김치쿨㈜허정순<NA>2014-02-03<NA>전북10김치,젓갈 제조,도소매전북 익산시 왕궁면 오포길 1270417453949