Overview

Dataset statistics

Number of variables8
Number of observations103
Missing cells59
Missing cells (%)7.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory66.3 B

Variable types

Numeric1
Categorical3
Text4

Alerts

데이터기준일자 has constant value ""Constant
순서 is highly overall correlated with 지역 and 1 other fieldsHigh correlation
지역 is highly overall correlated with 순서 and 1 other fieldsHigh correlation
업종 is highly overall correlated with 순서 and 1 other fieldsHigh correlation
전화번호 has 58 (56.3%) missing valuesMissing
순서 has unique valuesUnique

Reproduction

Analysis started2024-03-14 00:54:17.099312
Analysis finished2024-03-14 00:54:17.729277
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순서
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-14T09:54:17.787925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2024-03-14T09:54:17.903773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

지역
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size956.0 B
완주군
54 
익산시
12 
장수군
6 
전주시
 
4
정읍시
 
4
Other values (8)
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
완주군 54
52.4%
익산시 12
 
11.7%
장수군 6
 
5.8%
전주시 4
 
3.9%
정읍시 4
 
3.9%
진안군 4
 
3.9%
임실군 4
 
3.9%
고창군 4
 
3.9%
부안군 4
 
3.9%
군산시 3
 
2.9%
Other values (3) 4
 
3.9%

Length

2024-03-14T09:54:18.002509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
완주군 54
52.4%
익산시 12
 
11.7%
장수군 6
 
5.8%
전주시 4
 
3.9%
정읍시 4
 
3.9%
진안군 4
 
3.9%
임실군 4
 
3.9%
고창군 4
 
3.9%
부안군 4
 
3.9%
군산시 3
 
2.9%
Other values (3) 4
 
3.9%

업종
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
식품제조가공업
39 
기타김치
38 
배추김치
11 
식품제조
6 
즉석섭취식품
4 
Other values (3)
5 

Length

Max length23
Median length4
Mean length5.7378641
Min length3

Unique

Unique2 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 39
37.9%
기타김치 38
36.9%
배추김치 11
 
10.7%
식품제조 6
 
5.8%
즉석섭취식품 4
 
3.9%
과실 및 채소 절임식품 제조업 3
 
2.9%
조미김 1
 
1.0%
수산동물 건조 및 염장품 제조업 외 1 종 1
 
1.0%

Length

2024-03-14T09:54:18.123414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:54:18.332616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 39
32.0%
기타김치 38
31.1%
배추김치 11
 
9.0%
식품제조 6
 
4.9%
즉석섭취식품 4
 
3.3%
제조업 4
 
3.3%
및 4
 
3.3%
절임식품 3
 
2.5%
채소 3
 
2.5%
과실 3
 
2.5%
Other values (7) 7
 
5.7%

업소명
Text

Distinct63
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-03-14T09:54:18.742532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length8.1067961
Min length3

Characters and Unicode

Total characters835
Distinct characters150
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)52.4%

Sample

1st row농업회사법인(유)새만금식품
2nd row농업회사법인 유한회사 오성식품외갓집김치
3rd row유한회사맛디자인
4th row대중식품
5th row(주) 김장독
ValueCountFrequency (%)
도계정보화두부김치마을 10
 
7.9%
행복한집 8
 
6.3%
산야식품 7
 
5.5%
온신정식품 7
 
5.5%
둔지메반찬가게영농조합법인 5
 
3.9%
농업회사법인 5
 
3.9%
검태골식품 4
 
3.1%
주식회사 4
 
3.1%
농가의 3
 
2.4%
부엌 3
 
2.4%
Other values (66) 71
55.9%
2024-03-14T09:54:19.092993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 48
 
5.7%
품 42
 
5.0%
농 31
 
3.7%
인 25
 
3.0%
24
 
2.9%
법 23
 
2.8%
김 22
 
2.6%
정 21
 
2.5%
치 20
 
2.4%
) 18
 
2.2%
Other values (140) 561
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 777
93.1%
Space Separator 24
 
2.9%
Close Punctuation 18
 
2.2%
Open Punctuation 14
 
1.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 48
 
6.2%
품 42
 
5.4%
농 31
 
4.0%
인 25
 
3.2%
법 23
 
3.0%
김 22
 
2.8%
정 21
 
2.7%
치 20
 
2.6%
합 17
 
2.2%
사 17
 
2.2%
Other values (135) 511
65.8%
Uppercase Letter
ValueCountFrequency (%)
M 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 777
93.1%
Common 56
 
6.7%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 48
 
6.2%
품 42
 
5.4%
농 31
 
4.0%
인 25
 
3.2%
법 23
 
3.0%
김 22
 
2.8%
정 21
 
2.7%
치 20
 
2.6%
합 17
 
2.2%
사 17
 
2.2%
Other values (135) 511
65.8%
Common
ValueCountFrequency (%)
24
42.9%
) 18
32.1%
( 14
25.0%
Latin
ValueCountFrequency (%)
M 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 777
93.1%
ASCII 58
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 48
 
6.2%
품 42
 
5.4%
농 31
 
4.0%
인 25
 
3.2%
법 23
 
3.0%
김 22
 
2.8%
정 21
 
2.7%
치 20
 
2.6%
합 17
 
2.2%
사 17
 
2.2%
Other values (135) 511
65.8%
ASCII
ValueCountFrequency (%)
24
41.4%
) 18
31.0%
( 14
24.1%
M 1
 
1.7%
G 1
 
1.7%

주메뉴
Text

Distinct65
Distinct (%)63.7%
Missing1
Missing (%)1.0%
Memory size956.0 B
2024-03-14T09:54:19.284923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length39
Mean length9.254902
Min length2

Characters and Unicode

Total characters944
Distinct characters124
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)51.0%

Sample

1st row배추김치,기타김치,절임류
2nd row배추김치,기타김치
3rd row배추김치,기타김치
4th row김치류
5th row김치
ValueCountFrequency (%)
김치류 14
 
13.7%
배추김치 4
 
3.9%
열무김치 4
 
3.9%
김치 4
 
3.9%
고들빼기김치 3
 
2.9%
파김치 3
 
2.9%
기타김치 3
 
2.9%
배추김치,기타김치 3
 
2.9%
깻잎김치 3
 
2.9%
맛김치 3
 
2.9%
Other values (55) 58
56.9%
2024-03-14T09:54:19.600714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 120
 
12.7%
치 118
 
12.5%
, 82
 
8.7%
류 55
 
5.8%
품 34
 
3.6%
식 33
 
3.5%
기 28
 
3.0%
타 19
 
2.0%
절 17
 
1.8%
배 17
 
1.8%
Other values (114) 421
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 858
90.9%
Other Punctuation 82
 
8.7%
Uppercase Letter 2
 
0.2%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 120
 
14.0%
치 118
 
13.8%
류 55
 
6.4%
품 34
 
4.0%
식 33
 
3.8%
기 28
 
3.3%
타 19
 
2.2%
절 17
 
2.0%
배 17
 
2.0%
추 17
 
2.0%
Other values (111) 400
46.6%
Other Punctuation
ValueCountFrequency (%)
, 82
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 858
90.9%
Common 84
 
8.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 120
 
14.0%
치 118
 
13.8%
류 55
 
6.4%
품 34
 
4.0%
식 33
 
3.8%
기 28
 
3.3%
타 19
 
2.2%
절 17
 
2.0%
배 17
 
2.0%
추 17
 
2.0%
Other values (111) 400
46.6%
Common
ValueCountFrequency (%)
, 82
97.6%
- 2
 
2.4%
Latin
ValueCountFrequency (%)
A 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 858
90.9%
ASCII 86
 
9.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 120
 
14.0%
치 118
 
13.8%
류 55
 
6.4%
품 34
 
4.0%
식 33
 
3.8%
기 28
 
3.3%
타 19
 
2.2%
절 17
 
2.0%
배 17
 
2.0%
추 17
 
2.0%
Other values (111) 400
46.6%
ASCII
ValueCountFrequency (%)
, 82
95.3%
A 2
 
2.3%
- 2
 
2.3%

주소
Text

Distinct63
Distinct (%)61.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-03-14T09:54:19.840812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length15.660194
Min length11

Characters and Unicode

Total characters1613
Distinct characters122
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

Unique54 ?
Unique (%)52.4%

Sample

1st row전주시 완산구 안행1길 14-3
2nd row전주시 완산구 팔달로 143-6
3rd row전주시 완산구 춘향로 5237
4th row전주시 덕진구 덕촌길 43
5th row군산시 성산면 송호로 157-5
ValueCountFrequency (%)
완주군 54
 
13.4%
용진면 13
 
3.2%
익산시 12
 
3.0%
간중길 10
 
2.5%
4 10
 
2.5%
비봉면 8
 
2.0%
다리실길 8
 
2.0%
86 8
 
2.0%
이서면 8
 
2.0%
구이면 7
 
1.7%
Other values (166) 264
65.7%
2024-03-14T09:54:20.191859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
 
18.8%
군 82
 
5.1%
면 76
 
4.7%
주 63
 
3.9%
완 61
 
3.8%
1 59
 
3.7%
길 59
 
3.7%
로 53
 
3.3%
산 50
 
3.1%
2 47
 
2.9%
Other values (112) 760
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 958
59.4%
Decimal Number 316
 
19.6%
Space Separator 303
 
18.8%
Dash Punctuation 36
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 82
 
8.6%
면 76
 
7.9%
주 63
 
6.6%
완 61
 
6.4%
길 59
 
6.2%
로 53
 
5.5%
산 50
 
5.2%
시 25
 
2.6%
이 23
 
2.4%
진 22
 
2.3%
Other values (100) 444
46.3%
Decimal Number
ValueCountFrequency (%)
1 59
18.7%
2 47
14.9%
4 37
11.7%
3 36
11.4%
5 34
10.8%
6 27
8.5%
9 25
7.9%
8 23
 
7.3%
0 15
 
4.7%
7 13
 
4.1%
Space Separator
ValueCountFrequency (%)
303
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 958
59.4%
Common 655
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 82
 
8.6%
면 76
 
7.9%
주 63
 
6.6%
완 61
 
6.4%
길 59
 
6.2%
로 53
 
5.5%
산 50
 
5.2%
시 25
 
2.6%
이 23
 
2.4%
진 22
 
2.3%
Other values (100) 444
46.3%
Common
ValueCountFrequency (%)
303
46.3%
1 59
 
9.0%
2 47
 
7.2%
4 37
 
5.6%
3 36
 
5.5%
- 36
 
5.5%
5 34
 
5.2%
6 27
 
4.1%
9 25
 
3.8%
8 23
 
3.5%
Other values (2) 28
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 958
59.4%
ASCII 655
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303
46.3%
1 59
 
9.0%
2 47
 
7.2%
4 37
 
5.6%
3 36
 
5.5%
- 36
 
5.5%
5 34
 
5.2%
6 27
 
4.1%
9 25
 
3.8%
8 23
 
3.5%
Other values (2) 28
 
4.3%
Hangul
ValueCountFrequency (%)
군 82
 
8.6%
면 76
 
7.9%
주 63
 
6.6%
완 61
 
6.4%
길 59
 
6.2%
로 53
 
5.5%
산 50
 
5.2%
시 25
 
2.6%
이 23
 
2.4%
진 22
 
2.3%
Other values (100) 444
46.3%

전화번호
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing58
Missing (%)56.3%
Memory size956.0 B
2024-03-14T09:54:20.379556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters540
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

Unique45 ?
Unique (%)100.0%

Sample

1st row063-283-2264
2nd row063-231-7017
3rd row063-214-6666
4th row063-453-2724
5th row063-468-7337
ValueCountFrequency (%)
063-832-7400 1
 
2.2%
063-433-5356 1
 
2.2%
063-433-9155 1
 
2.2%
063-432-7355 1
 
2.2%
063-433-1661 1
 
2.2%
063-324-0331 1
 
2.2%
063-353-1408 1
 
2.2%
063-352-2641 1
 
2.2%
063-351-0056 1
 
2.2%
063-351-0292 1
 
2.2%
Other values (35) 35
77.8%
2024-03-14T09:54:20.728989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 95
17.6%
- 90
16.7%
6 82
15.2%
0 77
14.3%
5 41
7.6%
4 35
 
6.5%
1 33
 
6.1%
8 27
 
5.0%
2 23
 
4.3%
7 19
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 450
83.3%
Dash Punctuation 90
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 95
21.1%
6 82
18.2%
0 77
17.1%
5 41
9.1%
4 35
 
7.8%
1 33
 
7.3%
8 27
 
6.0%
2 23
 
5.1%
7 19
 
4.2%
9 18
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 90
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 540
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 95
17.6%
- 90
16.7%
6 82
15.2%
0 77
14.3%
5 41
7.6%
4 35
 
6.5%
1 33
 
6.1%
8 27
 
5.0%
2 23
 
4.3%
7 19
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 540
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 95
17.6%
- 90
16.7%
6 82
15.2%
0 77
14.3%
5 41
7.6%
4 35
 
6.5%
1 33
 
6.1%
8 27
 
5.0%
2 23
 
4.3%
7 19
 
3.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2015-07-30
103 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015-07-30
2nd row2015-07-30
3rd row2015-07-30
4th row2015-07-30
5th row2015-07-30

Common Values

ValueCountFrequency (%)
2015-07-30 103
100.0%

Length

2024-03-14T09:54:20.883195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T09:54:20.959344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015-07-30 103
100.0%

Interactions

2024-03-14T09:54:17.450694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T09:54:21.011016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서지역업종업소명주메뉴주소전화번호
순서1.0000.8450.8120.9360.8660.9361.000
지역0.8451.0000.8431.0000.8531.0001.000
업종0.8120.8431.0000.9850.9360.9851.000
업소명0.9361.0000.9851.0000.0001.0001.000
주메뉴0.8660.8530.9360.0001.0000.0001.000
주소0.9361.0000.9851.0000.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
2024-03-14T09:54:21.111618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종지역
업종1.0000.578
지역0.5781.000
2024-03-14T09:54:21.177037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순서지역업종
순서1.0000.5530.561
지역0.5531.0000.578
업종0.5610.5781.000

Missing values

2024-03-14T09:54:17.533093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:54:17.625598image/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.
2024-03-14T09:54:17.694606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순서지역업종업소명주메뉴주소전화번호데이터기준일자
01전주시식품제조가공업농업회사법인(유)새만금식품배추김치,기타김치,절임류전주시 완산구 안행1길 14-3<NA>2015-07-30
12전주시식품제조가공업농업회사법인 유한회사 오성식품외갓집김치배추김치,기타김치전주시 완산구 팔달로 143-6063-283-22642015-07-30
23전주시식품제조가공업유한회사맛디자인배추김치,기타김치전주시 완산구 춘향로 5237063-231-70172015-07-30
34전주시식품제조가공업대중식품김치류전주시 덕진구 덕촌길 43063-214-66662015-07-30
45군산시식품제조가공업(주) 김장독김치군산시 성산면 송호로 157-5063-453-27242015-07-30
56군산시식품제조가공업(유)아리울현푸드김치군산시 대학로 179063-468-73372015-07-30
67군산시식품제조가공업선제가김치앤푸드김치군산시 옥구읍 선제길 109063-4647-3102015-07-30
78익산시식품제조가공업농업회사법인 주식회사 남양식품장류,김치류,절임식품,배추김치,절임류익산시 오산면 군익로 374-24063-855-91952015-07-30
89익산시식품제조가공업(유)진미식품빵또는떡류,면류,조미식품,김치류,기타식품류,규격외일반가공식품익산시 익산대로22길 41-7063-852-64752015-07-30
910익산시식품제조가공업(주)원창조미식품,김치류,절임식품,조림식품,규격외일반가공식품익산시 익산대로33길 95063-841-92252015-07-30
순서지역업종업소명주메뉴주소전화번호데이터기준일자
9394임실군식품제조가공업둘레산둘레강김치류임실군 강진면 강운로 97063-643-18002015-07-30
9495순창군식품제조가공업성가정종합식품 (주)장류,김치류,절임식품,절임식품순창군 복흥면 가인로 426-46063-653-68802015-07-30
9596고창군식품제조가공업(주)풍성식품배추김치고창군 대산면 광대계룡길 1-2063-564-77532015-07-30
9697고창군식품제조가공업농업회사법인(유)한국로하스식품기타김치고창군 부안면 인촌로 74-21063-561-58112015-07-30
9798고창군식품제조가공업황토배기 오늘김치기타김치고창군 아산면 송현로 296063-564-66622015-07-30
9899고창군식품제조가공업(주)케이엔비푸드시스템기타김치고창군 흥덕면 선운대로 3619-46063-561-16312015-07-30
99100부안군과실 및 채소 절임식품 제조업(유)새만금김치배추및무김치부안군 행안면 옥여길 23063-583-00122015-07-30
100101부안군과실 및 채소 절임식품 제조업나누미김장김치부안군 보안면 우동길 13-6063-584-61312015-07-30
101102부안군과실 및 채소 절임식품 제조업내츄럴팜영농조합법인젊은양파김치부안군 변산면 의동길 29-18063-583-77182015-07-30
102103부안군수산동물 건조 및 염장품 제조업 외 1 종변산식품김치류,젓갈류부안군 하서면 변산로 1167063-581-30102015-07-30