Overview

Dataset statistics

Number of variables8
Number of observations250
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.8 KiB
Average record size in memory64.5 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description충청남도 주류 제조장 및 주류제조 면허에 관한 자료 제공을통한 전통주 업체 현황 제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=424&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037757

Alerts

비고(모형문화재_식품명인_지역특산주_대표자변경 등) is highly imbalanced (79.6%)Imbalance
제조면허번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 23:05:46.299944
Analysis finished2024-01-09 23:05:46.929913
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

Distinct14
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
서천군
114 
논산시
20 
공주시
14 
아산시
14 
천안시
13 
Other values (9)
75 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서천군 114
45.6%
논산시 20
 
8.0%
공주시 14
 
5.6%
아산시 14
 
5.6%
천안시 13
 
5.2%
홍성군 13
 
5.2%
청양군 11
 
4.4%
예산군 10
 
4.0%
당진시 8
 
3.2%
보령시 7
 
2.8%
Other values (4) 26
 
10.4%

Length

2024-01-10T08:05:46.986097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서천군 114
45.6%
논산시 20
 
8.0%
공주시 14
 
5.6%
아산시 14
 
5.6%
천안시 13
 
5.2%
홍성군 13
 
5.2%
청양군 11
 
4.4%
예산군 10
 
4.0%
당진시 8
 
3.2%
보령시 7
 
2.8%
Other values (4) 26
 
10.4%

업체명
Text

Distinct139
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T08:05:47.215099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length9.408
Min length2

Characters and Unicode

Total characters2352
Distinct characters211
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

Unique62 ?
Unique (%)24.8%

Sample

1st row농업회사법인 늘샘농산㈜
2nd row농업회사법인 늘샘농산㈜
3rd row비젼농업회사법인 유한회사
4th row비젼농업회사법인 유한회사
5th row비젼농업회사법인 유한회사
ValueCountFrequency (%)
농업회사법인 52
 
12.2%
소곡주 27
 
6.3%
영농조합법인 24
 
5.6%
주식회사 24
 
5.6%
한산소곡주 14
 
3.3%
㈜금산인삼주 5
 
1.2%
사곡양조원 5
 
1.2%
내국양조 5
 
1.2%
비젼농업회사법인 4
 
0.9%
유한회사 4
 
0.9%
Other values (148) 262
61.5%
2024-01-10T08:05:47.597005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 187
 
8.0%
183
 
7.8%
인 122
 
5.2%
사 120
 
5.1%
농 114
 
4.8%
회 114
 
4.8%
법 100
 
4.3%
조 91
 
3.9%
곡 84
 
3.6%
소 80
 
3.4%
Other values (201) 1157
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2107
89.6%
Space Separator 183
 
7.8%
Other Symbol 29
 
1.2%
Close Punctuation 13
 
0.6%
Open Punctuation 13
 
0.6%
Uppercase Letter 4
 
0.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 187
 
8.9%
인 122
 
5.8%
사 120
 
5.7%
농 114
 
5.4%
회 114
 
5.4%
법 100
 
4.7%
조 91
 
4.3%
곡 84
 
4.0%
소 80
 
3.8%
업 79
 
3.7%
Other values (193) 1016
48.2%
Uppercase Letter
ValueCountFrequency (%)
Y 2
50.0%
J 2
50.0%
Decimal Number
ValueCountFrequency (%)
0 2
66.7%
1 1
33.3%
Space Separator
ValueCountFrequency (%)
183
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2136
90.8%
Common 212
 
9.0%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 187
 
8.8%
인 122
 
5.7%
사 120
 
5.6%
농 114
 
5.3%
회 114
 
5.3%
법 100
 
4.7%
조 91
 
4.3%
곡 84
 
3.9%
소 80
 
3.7%
업 79
 
3.7%
Other values (194) 1045
48.9%
Common
ValueCountFrequency (%)
183
86.3%
) 13
 
6.1%
( 13
 
6.1%
0 2
 
0.9%
1 1
 
0.5%
Latin
ValueCountFrequency (%)
Y 2
50.0%
J 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2107
89.6%
ASCII 216
 
9.2%
None 29
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 187
 
8.9%
인 122
 
5.8%
사 120
 
5.7%
농 114
 
5.4%
회 114
 
5.4%
법 100
 
4.7%
조 91
 
4.3%
곡 84
 
4.0%
소 80
 
3.8%
업 79
 
3.7%
Other values (193) 1016
48.2%
ASCII
ValueCountFrequency (%)
183
84.7%
) 13
 
6.0%
( 13
 
6.0%
Y 2
 
0.9%
J 2
 
0.9%
0 2
 
0.9%
1 1
 
0.5%
None
ValueCountFrequency (%)
㈜ 29
100.0%

대표자
Text

Distinct133
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T08:05:47.898826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters750
Distinct characters112
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

Unique56 ?
Unique (%)22.4%

Sample

1st row김성천
2nd row김성천
3rd row송인천
4th row송인천
5th row송인천
ValueCountFrequency (%)
이명자 5
 
2.0%
최언년 5
 
2.0%
임헌창 5
 
2.0%
송인천 4
 
1.6%
서은경 4
 
1.6%
김순옥 4
 
1.6%
이상헌 4
 
1.6%
최광석 4
 
1.6%
이규연 4
 
1.6%
조재철 3
 
1.2%
Other values (123) 208
83.2%
2024-01-10T08:05:48.309243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 59
 
7.9%
김 48
 
6.4%
정 26
 
3.5%
영 24
 
3.2%
순 23
 
3.1%
희 17
 
2.3%
최 17
 
2.3%
유 17
 
2.3%
임 16
 
2.1%
숙 16
 
2.1%
Other values (102) 487
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 59
 
7.9%
김 48
 
6.4%
정 26
 
3.5%
영 24
 
3.2%
순 23
 
3.1%
희 17
 
2.3%
최 17
 
2.3%
유 17
 
2.3%
임 16
 
2.1%
숙 16
 
2.1%
Other values (102) 487
64.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 59
 
7.9%
김 48
 
6.4%
정 26
 
3.5%
영 24
 
3.2%
순 23
 
3.1%
희 17
 
2.3%
최 17
 
2.3%
유 17
 
2.3%
임 16
 
2.1%
숙 16
 
2.1%
Other values (102) 487
64.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 59
 
7.9%
김 48
 
6.4%
정 26
 
3.5%
영 24
 
3.2%
순 23
 
3.1%
희 17
 
2.3%
최 17
 
2.3%
유 17
 
2.3%
임 16
 
2.1%
숙 16
 
2.1%
Other values (102) 487
64.9%

주소(사업장)
Text

Distinct140
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T08:05:48.602172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length22.136
Min length13

Characters and Unicode

Total characters5534
Distinct characters178
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)25.6%

Sample

1st row천안시 서북구 직산읍 느르머리길 46
2nd row천안시 서북구 직산읍 느르머리길 46
3rd row천안시 동남구 광덕면 광풍로 826-26
4th row천안시 동남구 광덕면 광풍로 826-26
5th row천안시 동남구 광덕면 광풍로 826-26
ValueCountFrequency (%)
충청남도 203
 
16.2%
서천군 114
 
9.1%
한산면 100
 
8.0%
충남 32
 
2.5%
논산시 20
 
1.6%
충절로 17
 
1.4%
아산시 14
 
1.1%
공주시 14
 
1.1%
홍성군 13
 
1.0%
천안시 13
 
1.0%
Other values (291) 716
57.0%
2024-01-10T08:05:49.007081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1010
 
18.3%
충 280
 
5.1%
1 263
 
4.8%
남 249
 
4.5%
면 220
 
4.0%
청 217
 
3.9%
도 211
 
3.8%
산 204
 
3.7%
군 167
 
3.0%
길 157
 
2.8%
Other values (168) 2556
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3410
61.6%
Space Separator 1010
 
18.3%
Decimal Number 986
 
17.8%
Dash Punctuation 107
 
1.9%
Other Punctuation 10
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 280
 
8.2%
남 249
 
7.3%
면 220
 
6.5%
청 217
 
6.4%
도 211
 
6.2%
산 204
 
6.0%
군 167
 
4.9%
길 157
 
4.6%
로 142
 
4.2%
천 137
 
4.0%
Other values (152) 1426
41.8%
Decimal Number
ValueCountFrequency (%)
1 263
26.7%
2 129
13.1%
3 114
11.6%
6 91
 
9.2%
4 89
 
9.0%
5 76
 
7.7%
8 63
 
6.4%
9 58
 
5.9%
7 58
 
5.9%
0 45
 
4.6%
Space Separator
ValueCountFrequency (%)
1010
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 107
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3410
61.6%
Common 2124
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 280
 
8.2%
남 249
 
7.3%
면 220
 
6.5%
청 217
 
6.4%
도 211
 
6.2%
산 204
 
6.0%
군 167
 
4.9%
길 157
 
4.6%
로 142
 
4.2%
천 137
 
4.0%
Other values (152) 1426
41.8%
Common
ValueCountFrequency (%)
1010
47.6%
1 263
 
12.4%
2 129
 
6.1%
3 114
 
5.4%
- 107
 
5.0%
6 91
 
4.3%
4 89
 
4.2%
5 76
 
3.6%
8 63
 
3.0%
9 58
 
2.7%
Other values (6) 124
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3410
61.6%
ASCII 2124
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1010
47.6%
1 263
 
12.4%
2 129
 
6.1%
3 114
 
5.4%
- 107
 
5.0%
6 91
 
4.3%
4 89
 
4.2%
5 76
 
3.6%
8 63
 
3.0%
9 58
 
2.7%
Other values (6) 124
 
5.8%
Hangul
ValueCountFrequency (%)
충 280
 
8.2%
남 249
 
7.3%
면 220
 
6.5%
청 217
 
6.4%
도 211
 
6.2%
산 204
 
6.0%
군 167
 
4.9%
길 157
 
4.6%
로 142
 
4.2%
천 137
 
4.0%
Other values (152) 1426
41.8%

주종
Categorical

Distinct13
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
약주
106 
일반증류주
48 
탁주
30 
리큐르
14 
증류식소주
12 
Other values (8)
40 

Length

Max length6
Median length2
Mean length2.948
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row과실주
2nd row일반증류주
3rd row탁주
4th row약주
5th row일반증류주

Common Values

ValueCountFrequency (%)
약주 106
42.4%
일반증류주 48
19.2%
탁주 30
 
12.0%
리큐르 14
 
5.6%
증류식소주 12
 
4.8%
과실주 11
 
4.4%
기타주류 10
 
4.0%
소주 8
 
3.2%
기타 4
 
1.6%
청주 3
 
1.2%
Other values (3) 4
 
1.6%

Length

2024-01-10T08:05:49.151662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
약주 106
42.1%
일반증류주 48
19.0%
탁주 30
 
11.9%
리큐르 14
 
5.6%
증류식소주 12
 
4.8%
과실주 11
 
4.4%
기타주류 10
 
4.0%
소주 10
 
4.0%
기타 4
 
1.6%
청주 3
 
1.2%
Other values (3) 4
 
1.6%

제조면허번호
Text

UNIQUE 

Distinct250
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2024-01-10T08:05:49.408353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2750
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

Unique250 ?
Unique (%)100.0%

Sample

1st row312-1-00158
2nd row312-1-00157
3rd row312-1-00153
4th row312-1-00152
5th row312-1-00151
ValueCountFrequency (%)
312-1-00158 1
 
0.4%
313-1-00167 1
 
0.4%
313-1-00154 1
 
0.4%
313-1-00105 1
 
0.4%
313-1-00052 1
 
0.4%
313-1-00048 1
 
0.4%
313-1-00037 1
 
0.4%
313-1-00077 1
 
0.4%
313-1-00119 1
 
0.4%
313-1-00068 1
 
0.4%
Other values (240) 240
96.0%
2024-01-10T08:05:49.770362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 739
26.9%
1 643
23.4%
- 500
18.2%
3 411
14.9%
8 80
 
2.9%
2 66
 
2.4%
9 66
 
2.4%
6 66
 
2.4%
5 63
 
2.3%
7 62
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2250
81.8%
Dash Punctuation 500
 
18.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 739
32.8%
1 643
28.6%
3 411
18.3%
8 80
 
3.6%
2 66
 
2.9%
9 66
 
2.9%
6 66
 
2.9%
5 63
 
2.8%
7 62
 
2.8%
4 54
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 500
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 739
26.9%
1 643
23.4%
- 500
18.2%
3 411
14.9%
8 80
 
2.9%
2 66
 
2.4%
9 66
 
2.4%
6 66
 
2.4%
5 63
 
2.3%
7 62
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 739
26.9%
1 643
23.4%
- 500
18.2%
3 411
14.9%
8 80
 
2.9%
2 66
 
2.4%
9 66
 
2.4%
6 66
 
2.4%
5 63
 
2.3%
7 62
 
2.3%

제조면허취득일
Date

Distinct158
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2000-10-01 00:00:00
Maximum2023-01-18 00:00:00
2024-01-10T08:05:49.899214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:05:50.029370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

비고(모형문화재_식품명인_지역특산주_대표자변경 등)
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
지역특산주
232 
식품명인
 
12
지역특산주(제조장 이전)
 
3
식품명인(문화체육부추천)
 
2
무형문화재 (1986-11-01)
 
1

Length

Max length18
Median length5
Mean length5.176
Min length4

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
지역특산주 232
92.8%
식품명인 12
 
4.8%
지역특산주(제조장 이전) 3
 
1.2%
식품명인(문화체육부추천) 2
 
0.8%
무형문화재 (1986-11-01) 1
 
0.4%

Length

2024-01-10T08:05:50.163917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:05:50.260982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역특산주 232
91.3%
식품명인 12
 
4.7%
지역특산주(제조장 3
 
1.2%
이전 3
 
1.2%
식품명인(문화체육부추천 2
 
0.8%
무형문화재 1
 
0.4%
1986-11-01 1
 
0.4%

Correlations

2024-01-10T08:05:50.332086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군주종비고(모형문화재_식품명인_지역특산주_대표자변경 등)
시군1.0000.6180.681
주종0.6181.0000.156
비고(모형문화재_식품명인_지역특산주_대표자변경 등)0.6810.1561.000
2024-01-10T08:05:50.414224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고(모형문화재_식품명인_지역특산주_대표자변경 등)주종시군
비고(모형문화재_식품명인_지역특산주_대표자변경 등)1.0000.0820.431
주종0.0821.0000.276
시군0.4310.2761.000
2024-01-10T08:05:50.748885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군주종비고(모형문화재_식품명인_지역특산주_대표자변경 등)
시군1.0000.2760.431
주종0.2761.0000.082
비고(모형문화재_식품명인_지역특산주_대표자변경 등)0.4310.0821.000

Missing values

2024-01-10T08:05:46.774463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:05:46.883944image/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

시군업체명대표자주소(사업장)주종제조면허번호제조면허취득일비고(모형문화재_식품명인_지역특산주_대표자변경 등)
0천안시농업회사법인 늘샘농산㈜김성천천안시 서북구 직산읍 느르머리길 46과실주312-1-001582021-08-19지역특산주
1천안시농업회사법인 늘샘농산㈜김성천천안시 서북구 직산읍 느르머리길 46일반증류주312-1-001572021-08-19지역특산주
2천안시비젼농업회사법인 유한회사송인천천안시 동남구 광덕면 광풍로 826-26탁주312-1-001532019-12-23지역특산주
3천안시비젼농업회사법인 유한회사송인천천안시 동남구 광덕면 광풍로 826-26약주312-1-001522019-12-23지역특산주
4천안시비젼농업회사법인 유한회사송인천천안시 동남구 광덕면 광풍로 826-26일반증류주312-1-001512019-12-23지역특산주
5천안시비젼농업회사법인 유한회사송인천천안시 동남구 광덕면 광풍로 826-26리큐르312-1-001472014-02-10지역특산주
6천안시농업회사법인 ㈜우리와인윤석진천안시 동남구 북면 양곡2길 13-10약주312-1-001412015-03-26지역특산주
7천안시농업회사법인 ㈜흥진담은김우기천안시 동남구 수신면 신풍2길 16-18기타주류312-1-001292013-06-26지역특산주
8천안시농업회사법인 ㈜흥진담은김우기천안시 동남구 수신면 신풍2길 16-18리큐르312-1-001282013-06-26지역특산주
9천안시농업회사법인 ㈜흥진담은김우기천안시 동남구 수신면 신풍2길 16-18과실주312-1-001272013-06-26지역특산주
시군업체명대표자주소(사업장)주종제조면허번호제조면허취득일비고(모형문화재_식품명인_지역특산주_대표자변경 등)
240예산군화룡양조장강금옥충남 예산군 덕산면 남은들로 38증류식소주311-1-000892017-05-31지역특산주
241예산군화룡양조장강금옥충남 예산군 덕산면 남은들로 38일반증류주311-1-000932018-05-10지역특산주
242예산군농업회사법인 주로(주)박유덕충남 예산군 예산읍 형제고개로 967, 다동 3~8호(예산상설시장)탁주311-1-001022021-10-06지역특산주
243태안군㈜그린농업회사법인최광석충청남도 태안군 안면읍 꽃지해안로 487, 1층과실주316-1-000482019-05-27지역특산주
244태안군수불리아홍용숙충청남도 태안군 소원면 대소산길 396-14탁주316-1-000562020-04-20지역특산주
245태안군수불리아홍용숙충청남도 태안군 소원면 대소산길 396-14약주316-1-000572020-04-20지역특산주
246태안군수불리아홍용숙충청남도 태안군 소원면 대소산길 396-14증류식소주316-1-000582020-05-06지역특산주
247태안군태안발효허정원충청남도 태안군 남면 안면대로 1346-13탁주316-1-000592021-04-07지역특산주(제조장 이전)
248태안군태안발효허정원충청남도 태안군 남면 안면대로 1346-13약주316-1-000602021-04-07지역특산주(제조장 이전)
249태안군태안발효허정원충청남도 태안군 남면 안면대로 1346-13증류식소주316-1-000612021-04-07지역특산주(제조장 이전)