Overview

Dataset statistics

Number of variables7
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory61.3 B

Variable types

Numeric1
Text5
DateTime1

Dataset

Description광주광역시 전통식품품질 인증 현황입니다.전통식품품질인증은 농림축산식품부 국립농산물품질관리원에서 인증 및 고시합니다.- 인증번호, 인증일자, 인증업체명, 대표자명, 주소, 제품명 등
Author광주광역시
URLhttps://www.data.go.kr/data/15012245/fileData.do

Alerts

연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 08:44:07.325966
Analysis finished2024-03-14 08:44:08.724202
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.5
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size398.0 B
2024-03-14T17:44:08.906219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.45
Q18.25
median15.5
Q322.75
95-th percentile28.55
Maximum30
Range29
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation8.8034084
Coefficient of variation (CV)0.56796183
Kurtosis-1.2
Mean15.5
Median Absolute Deviation (MAD)7.5
Skewness0
Sum465
Variance77.5
MonotonicityStrictly increasing
2024-03-14T17:44:09.303273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 1
 
3.3%
17 1
 
3.3%
30 1
 
3.3%
29 1
 
3.3%
28 1
 
3.3%
27 1
 
3.3%
26 1
 
3.3%
25 1
 
3.3%
24 1
 
3.3%
23 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
1 1
3.3%
2 1
3.3%
3 1
3.3%
4 1
3.3%
5 1
3.3%
6 1
3.3%
7 1
3.3%
8 1
3.3%
9 1
3.3%
10 1
3.3%
ValueCountFrequency (%)
30 1
3.3%
29 1
3.3%
28 1
3.3%
27 1
3.3%
26 1
3.3%
25 1
3.3%
24 1
3.3%
23 1
3.3%
22 1
3.3%
21 1
3.3%

인증번호
Text

Distinct27
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:44:09.927078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.5333333
Min length8

Characters and Unicode

Total characters256
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)80.0%

Sample

1st row전통 제548호
2nd row전통 제545호
3rd row전통 제544호
4th row전통 제542호
5th row전통 제706호
ValueCountFrequency (%)
전통 30
50.0%
제1164호 2
 
3.3%
제1091호 2
 
3.3%
제706호 2
 
3.3%
제1136호 1
 
1.7%
제548호 1
 
1.7%
제665호 1
 
1.7%
제947호 1
 
1.7%
제1115호 1
 
1.7%
제1124호 1
 
1.7%
Other values (18) 18
30.0%
2024-03-14T17:44:10.957685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 30
11.7%
통 30
11.7%
30
11.7%
제 30
11.7%
호 30
11.7%
1 29
11.3%
6 15
5.9%
4 15
5.9%
5 12
 
4.7%
3 7
 
2.7%
Other values (5) 28
10.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
46.9%
Decimal Number 106
41.4%
Space Separator 30
 
11.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
27.4%
6 15
14.2%
4 15
14.2%
5 12
11.3%
3 7
 
6.6%
0 6
 
5.7%
9 6
 
5.7%
8 6
 
5.7%
7 5
 
4.7%
2 5
 
4.7%
Other Letter
ValueCountFrequency (%)
전 30
25.0%
통 30
25.0%
제 30
25.0%
호 30
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 136
53.1%
Hangul 120
46.9%

Most frequent character per script

Common
ValueCountFrequency (%)
30
22.1%
1 29
21.3%
6 15
11.0%
4 15
11.0%
5 12
 
8.8%
3 7
 
5.1%
0 6
 
4.4%
9 6
 
4.4%
8 6
 
4.4%
7 5
 
3.7%
Hangul
ValueCountFrequency (%)
전 30
25.0%
통 30
25.0%
제 30
25.0%
호 30
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 136
53.1%
Hangul 120
46.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 30
25.0%
통 30
25.0%
제 30
25.0%
호 30
25.0%
ASCII
ValueCountFrequency (%)
30
22.1%
1 29
21.3%
6 15
11.0%
4 15
11.0%
5 12
 
8.8%
3 7
 
5.1%
0 6
 
4.4%
9 6
 
4.4%
8 6
 
4.4%
7 5
 
3.7%

인증일자
Date

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size368.0 B
Minimum2019-04-15 00:00:00
Maximum2023-09-08 00:00:00
2024-03-14T17:44:11.317791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T17:44:11.706191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

인증업체명
Text

Distinct20
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:44:12.453603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.9666667
Min length4

Characters and Unicode

Total characters269
Distinct characters71
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)40.0%

Sample

1st row(주)김치타운
2nd row농업회사법인 시루연㈜
3rd row농업회사법인 시루연㈜
4th row농업회사법인 시루연㈜
5th row(주)이씨네식품
ValueCountFrequency (%)
유)빛고을청아 5
 
11.4%
농업회사법인 5
 
11.4%
주)이씨네식품 3
 
6.8%
시루연㈜ 3
 
6.8%
우리밀식품(주 2
 
4.5%
제석근로사업장 2
 
4.5%
남도향토미가 2
 
4.5%
㈜ 2
 
4.5%
진선 2
 
4.5%
빛고을참기름 2
 
4.5%
Other values (14) 16
36.4%
2024-03-14T17:44:13.509040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 17
 
6.3%
) 17
 
6.3%
주 14
 
5.2%
14
 
5.2%
고 10
 
3.7%
식 10
 
3.7%
사 9
 
3.3%
빛 9
 
3.3%
을 9
 
3.3%
품 8
 
3.0%
Other values (61) 152
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 216
80.3%
Open Punctuation 17
 
6.3%
Close Punctuation 17
 
6.3%
Space Separator 14
 
5.2%
Other Symbol 5
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
6.5%
고 10
 
4.6%
식 10
 
4.6%
사 9
 
4.2%
빛 9
 
4.2%
을 9
 
4.2%
품 8
 
3.7%
회 7
 
3.2%
업 7
 
3.2%
농 6
 
2.8%
Other values (57) 127
58.8%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 221
82.2%
Common 48
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
6.3%
고 10
 
4.5%
식 10
 
4.5%
사 9
 
4.1%
빛 9
 
4.1%
을 9
 
4.1%
품 8
 
3.6%
회 7
 
3.2%
업 7
 
3.2%
농 6
 
2.7%
Other values (58) 132
59.7%
Common
ValueCountFrequency (%)
( 17
35.4%
) 17
35.4%
14
29.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 216
80.3%
ASCII 48
 
17.8%
None 5
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 17
35.4%
) 17
35.4%
14
29.2%
Hangul
ValueCountFrequency (%)
주 14
 
6.5%
고 10
 
4.6%
식 10
 
4.6%
사 9
 
4.2%
빛 9
 
4.2%
을 9
 
4.2%
품 8
 
3.7%
회 7
 
3.2%
업 7
 
3.2%
농 6
 
2.8%
Other values (57) 127
58.8%
None
ValueCountFrequency (%)
㈜ 5
100.0%

대표자명
Text

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:44:14.140017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters90
Distinct characters37
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

Unique9 ?
Unique (%)30.0%

Sample

1st row정휴선
2nd row손안상
3rd row손안상
4th row손안상
5th row이광희
ValueCountFrequency (%)
김하정 5
16.7%
이광희 3
10.0%
손안상 3
10.0%
진승영 2
 
6.7%
이용국 2
 
6.7%
정근석 2
 
6.7%
이현창 2
 
6.7%
채금진 2
 
6.7%
정선환 1
 
3.3%
강인순 1
 
3.3%
Other values (7) 7
23.3%
2024-03-14T17:44:14.871249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 9
 
10.0%
이 9
 
10.0%
김 5
 
5.6%
하 5
 
5.6%
희 4
 
4.4%
진 4
 
4.4%
현 3
 
3.3%
채 3
 
3.3%
광 3
 
3.3%
안 3
 
3.3%
Other values (27) 42
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 9
 
10.0%
이 9
 
10.0%
김 5
 
5.6%
하 5
 
5.6%
희 4
 
4.4%
진 4
 
4.4%
현 3
 
3.3%
채 3
 
3.3%
광 3
 
3.3%
안 3
 
3.3%
Other values (27) 42
46.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 9
 
10.0%
이 9
 
10.0%
김 5
 
5.6%
하 5
 
5.6%
희 4
 
4.4%
진 4
 
4.4%
현 3
 
3.3%
채 3
 
3.3%
광 3
 
3.3%
안 3
 
3.3%
Other values (27) 42
46.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 9
 
10.0%
이 9
 
10.0%
김 5
 
5.6%
하 5
 
5.6%
희 4
 
4.4%
진 4
 
4.4%
현 3
 
3.3%
채 3
 
3.3%
광 3
 
3.3%
안 3
 
3.3%
Other values (27) 42
46.7%

주소
Text

Distinct19
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:44:15.485604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length22.8
Min length15

Characters and Unicode

Total characters684
Distinct characters63
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)40.0%

Sample

1st row광주광역시 남구 김치로60
2nd row광주광역시 광산구 북문대로341-19 (신창동)
3rd row광주광역시 광산구 북문대로341-19 (신창동)
4th row광주광역시 광산구 북문대로341-19 (신창동)
5th row광주광역시 광산구 평동로913번길24 (월전동)
ValueCountFrequency (%)
광주광역시 30
26.8%
광산구 20
17.9%
월전동 6
 
5.4%
평동매화길52 5
 
4.5%
북구 4
 
3.6%
남구 3
 
2.7%
동구 3
 
2.7%
연산동 3
 
2.7%
평동로913번길24 3
 
2.7%
신창동 3
 
2.7%
Other values (23) 32
28.6%
2024-03-14T17:44:16.357391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
13.6%
광 80
 
11.7%
동 38
 
5.6%
산 33
 
4.8%
주 31
 
4.5%
시 30
 
4.4%
구 30
 
4.4%
역 30
 
4.4%
로 21
 
3.1%
) 20
 
2.9%
Other values (53) 278
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 435
63.6%
Decimal Number 106
 
15.5%
Space Separator 93
 
13.6%
Close Punctuation 20
 
2.9%
Open Punctuation 20
 
2.9%
Dash Punctuation 10
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 80
18.4%
동 38
 
8.7%
산 33
 
7.6%
주 31
 
7.1%
시 30
 
6.9%
구 30
 
6.9%
역 30
 
6.9%
로 21
 
4.8%
길 18
 
4.1%
평 15
 
3.4%
Other values (39) 109
25.1%
Decimal Number
ValueCountFrequency (%)
1 19
17.9%
2 18
17.0%
4 13
12.3%
3 11
10.4%
6 10
9.4%
9 10
9.4%
0 8
7.5%
7 6
 
5.7%
5 6
 
5.7%
8 5
 
4.7%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 435
63.6%
Common 249
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 80
18.4%
동 38
 
8.7%
산 33
 
7.6%
주 31
 
7.1%
시 30
 
6.9%
구 30
 
6.9%
역 30
 
6.9%
로 21
 
4.8%
길 18
 
4.1%
평 15
 
3.4%
Other values (39) 109
25.1%
Common
ValueCountFrequency (%)
93
37.3%
) 20
 
8.0%
( 20
 
8.0%
1 19
 
7.6%
2 18
 
7.2%
4 13
 
5.2%
3 11
 
4.4%
6 10
 
4.0%
9 10
 
4.0%
- 10
 
4.0%
Other values (4) 25
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 435
63.6%
ASCII 249
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
37.3%
) 20
 
8.0%
( 20
 
8.0%
1 19
 
7.6%
2 18
 
7.2%
4 13
 
5.2%
3 11
 
4.4%
6 10
 
4.0%
9 10
 
4.0%
- 10
 
4.0%
Other values (4) 25
 
10.0%
Hangul
ValueCountFrequency (%)
광 80
18.4%
동 38
 
8.7%
산 33
 
7.6%
주 31
 
7.1%
시 30
 
6.9%
구 30
 
6.9%
역 30
 
6.9%
로 21
 
4.8%
길 18
 
4.1%
평 15
 
3.4%
Other values (39) 109
25.1%

제품명
Text

Distinct28
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size368.0 B
2024-03-14T17:44:17.227511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length119
Median length50.5
Mean length35.566667
Min length4

Characters and Unicode

Total characters1067
Distinct characters104
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)90.0%

Sample

1st row 동치미, 맛김치, 깍두기, 파김치, 열무김치, 총각김치, 묵은지, 백김치, 포기김치, 갓김치
2nd row 흰절편, 콩가루인절미, 가래떡, 쑥절편
3rd row 백설기
4th row 조랭이떡, 떡볶이, 떡국떡
5th row 맛김치, 깍두기, 파김치, 열무김치, 총각김치, 오이소박이, 백김치, 포기김치, 갓김치
ValueCountFrequency (%)
열무김치 14
 
7.9%
파김치 13
 
7.3%
총각김치 13
 
7.3%
포기김치 11
 
6.2%
깍두기 11
 
6.2%
갓김치 11
 
6.2%
맛김치 9
 
5.1%
백김치 8
 
4.5%
보쌈김치 5
 
2.8%
묵은지 4
 
2.3%
Other values (59) 78
44.1%
2024-03-14T17:44:18.434330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
16.6%
, 145
 
13.6%
치 115
 
10.8%
김 111
 
10.4%
기 33
 
3.1%
리 18
 
1.7%
밀 17
 
1.6%
무 17
 
1.6%
열 16
 
1.5%
이 15
 
1.4%
Other values (94) 403
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
69.6%
Space Separator 177
 
16.6%
Other Punctuation 145
 
13.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 115
 
15.5%
김 111
 
14.9%
기 33
 
4.4%
리 18
 
2.4%
밀 17
 
2.3%
무 17
 
2.3%
열 16
 
2.2%
이 15
 
2.0%
우 15
 
2.0%
파 14
 
1.9%
Other values (90) 372
50.1%
Space Separator
ValueCountFrequency (%)
177
100.0%
Other Punctuation
ValueCountFrequency (%)
, 145
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 743
69.6%
Common 324
30.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 115
 
15.5%
김 111
 
14.9%
기 33
 
4.4%
리 18
 
2.4%
밀 17
 
2.3%
무 17
 
2.3%
열 16
 
2.2%
이 15
 
2.0%
우 15
 
2.0%
파 14
 
1.9%
Other values (90) 372
50.1%
Common
ValueCountFrequency (%)
177
54.6%
, 145
44.8%
( 1
 
0.3%
) 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 743
69.6%
ASCII 324
30.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
54.6%
, 145
44.8%
( 1
 
0.3%
) 1
 
0.3%
Hangul
ValueCountFrequency (%)
치 115
 
15.5%
김 111
 
14.9%
기 33
 
4.4%
리 18
 
2.4%
밀 17
 
2.3%
무 17
 
2.3%
열 16
 
2.2%
이 15
 
2.0%
우 15
 
2.0%
파 14
 
1.9%
Other values (90) 372
50.1%

Interactions

2024-03-14T17:44:07.858085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T17:44:18.701670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번인증번호인증일자인증업체명대표자명주소제품명
연번1.0000.7710.9500.9510.8650.8790.849
인증번호0.7711.0000.0001.0001.0001.0000.916
인증일자0.9500.0001.0000.9560.9770.9460.941
인증업체명0.9511.0000.9561.0001.0000.9930.972
대표자명0.8651.0000.9771.0001.0001.0000.952
주소0.8791.0000.9460.9931.0001.0000.966
제품명0.8490.9160.9410.9720.9520.9661.000

Missing values

2024-03-14T17:44:08.196781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T17:44:08.579899image/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

연번인증번호인증일자인증업체명대표자명주소제품명
01전통 제548호2019-04-15(주)김치타운정휴선광주광역시 남구 김치로60동치미, 맛김치, 깍두기, 파김치, 열무김치, 총각김치, 묵은지, 백김치, 포기김치, 갓김치
12전통 제545호2019-04-15농업회사법인 시루연㈜손안상광주광역시 광산구 북문대로341-19 (신창동)흰절편, 콩가루인절미, 가래떡, 쑥절편
23전통 제544호2019-04-15농업회사법인 시루연㈜손안상광주광역시 광산구 북문대로341-19 (신창동)백설기
34전통 제542호2019-04-15농업회사법인 시루연㈜손안상광주광역시 광산구 북문대로341-19 (신창동)조랭이떡, 떡볶이, 떡국떡
45전통 제706호2019-04-18(주)이씨네식품이광희광주광역시 광산구 평동로913번길24 (월전동)맛김치, 깍두기, 파김치, 열무김치, 총각김치, 오이소박이, 백김치, 포기김치, 갓김치
56전통 제968호2019-05-07제석근로사업장이용국광주광역시 남구 송암로24번길나길 20동치미, 맛김치, 석박김치, 깍두기, 파김치, 열무김치, 양파김치, 총각김치, 묵은지, 깻잎김치, 백김치, 보쌈김치, 자연담은포기김치, 갓김치, 나박김치, 부추김치
67전통 제644호2019-10-22(주)운림가박채희광주광역시 동구 학소로106번길30 (소태동)배추동치미, 배추김치, 파김치, 무동치미, 열무김치, 알타리김치, 깍두기김치, 석박지, 백김치, 고들빼기, 보쌈김치, 묵은김치, 갓김치
78전통 제1091호2019-12-10남도향토미가정근석광주광역시 북구 양산택지로142양념깻잎, 맛김치, 깍두기, 파김치, 열무김치, 총각김치, 포기김치, 갓김치
89전통 제664호2020-01-16(주)해담촌이기남광주광역시 북구 군왕로54 (두암동)맛김치, 깍두기, 파김치, 열무김치, 총각김치, 오이소박이, 생깻잎김치, 백김치, 포기김치, 섞박지, 묵은김치, 갓김치
910전통 제1164호2020-11-24㈜ 진선채금진광주광역시 동구 남계길66-1 (내남동)포기김치
연번인증번호인증일자인증업체명대표자명주소제품명
2021전통 제1301호2023-02-01주식회사 하루식품이현창광주광역시 광산구 평동산단7번로108 (연산동)맛김치, 깍두기, 파김치, 열무김치, 총각김치, 오이소박이, 묵은지, 석박지, 포기김치, 보쌈김치, 갓김치, 겉절이, 부추김치
2122전통 제706호2023-04-28(주)이씨네식품이광희광주광역시 광산구 평동로913번길24 (월전동)열무물김치, 맛김치, 깍두기, 파김치, 열무김치, 총각김치, 오이소박이, 열무자박이김치, 묵은지, 얼갈이겉절이, 석박지, 백김치, 포기김치, 보쌈김치, 갓김치, 겉절이, 부추김치
2223전통 제1147호2023-04-28(주)이씨네식품이광희광주광역시 광산구 평동로913번길24 (월전동)절임배추
2324전통 제1335호2023-05-28(유)빛고을청아 청아우리떡김하정광주광역시 광산구 평동매화길52 (지죽동)떡국떡
2425전통 제1334호2023-05-28(유)빛고을청아 빛고을참기름김하정광주광역시 광산구 평동매화길52빛고을 들기름
2526전통 제1125호2023-09-07(유)빛고을청아 빛고을고추가루김하정광주광역시 광산구 평동매화길52빛고을고춧가루
2627전통 제1124호2023-09-07(유)빛고을청아 빛고을참기름김하정광주광역시 광산구 평동매화길52빛고을참기름
2728전통 제1115호2023-09-07성근식품강인순광주광역시 광산구 비아안길99-23돌산갓김치, 파김치, 열무김치, 총각김치, 깻잎김치, 포기김치
2829전통 제947호2023-09-08농업회사법인 우리밀식품(주)진승영광주광역시 광산구 평동산단6번로3네니아유기농우리밀수제비, 우리밀꾸지뽕수제비, 네니아유기농우리밀삼색수제비, 우리쌀감자수제비, 유기농우리밀 삼색수제비, 우리밀감자수제비, 우리밀수제비, 우리밀우리쌀꾸지뽕수제비, 네니아우리밀감자수제비, 우리밀삼색수제비
2930전통 제584호2023-09-08농업회사법인 우리밀식품(주)진승영광주광역시 광산구 평동산단6번로3 (월전동)우리밀메밀국수, 우리밀통밀국수, 우리밀백밀국수, 우리밀통밀칼국수