Overview

Dataset statistics

Number of variables9
Number of observations61
Missing cells18
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory74.2 B

Variable types

Categorical1
DateTime3
Text5

Dataset

Description경기도 여주시 관내 식품위생업 중 식품소분업현황 정보(업종명, 허가일자, 업소명, 소재지, 영업장면적, 전화번호, 소재지시작일)를 제공합니다.
Author경기도 여주시
URLhttps://www.data.go.kr/data/15038668/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 18 (29.5%) missing valuesMissing
인허가일자 has unique valuesUnique
소재지시작일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:29:40.721824
Analysis finished2023-12-12 22:29:41.596167
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size620.0 B
식품소분업
61 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품소분업 61
100.0%

Length

2023-12-13T07:29:41.651211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:29:41.737811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 61
100.0%

인허가일자
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1996-12-04 00:00:00
Maximum2021-04-09 00:00:00
2023-12-13T07:29:41.839261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:29:41.968569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T07:29:42.193885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length6.9836066
Min length2

Characters and Unicode

Total characters426
Distinct characters142
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row여주농산
2nd row영일종합식품
3rd row한국루이스제조상사
4th row데카마트
5th row두보식품(주)여주공장
ValueCountFrequency (%)
주식회사 3
 
4.5%
해강씨푸드 2
 
3.0%
주)에스아이케이 1
 
1.5%
영일종합식품 1
 
1.5%
여주교도소 1
 
1.5%
직영작업장 1
 
1.5%
에이스마트 1
 
1.5%
주)씨앤미 1
 
1.5%
세진식품(주 1
 
1.5%
금사농협하나로마트 1
 
1.5%
Other values (54) 54
80.6%
2023-12-13T07:29:42.541363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
 
6.8%
) 16
 
3.8%
( 16
 
3.8%
식 13
 
3.1%
이 12
 
2.8%
여 11
 
2.6%
농 11
 
2.6%
스 9
 
2.1%
마 9
 
2.1%
트 9
 
2.1%
Other values (132) 291
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 380
89.2%
Close Punctuation 16
 
3.8%
Open Punctuation 16
 
3.8%
Space Separator 6
 
1.4%
Uppercase Letter 6
 
1.4%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 29
 
7.6%
식 13
 
3.4%
이 12
 
3.2%
여 11
 
2.9%
농 11
 
2.9%
스 9
 
2.4%
마 9
 
2.4%
트 9
 
2.4%
품 8
 
2.1%
산 8
 
2.1%
Other values (121) 261
68.7%
Uppercase Letter
ValueCountFrequency (%)
P 1
16.7%
R 1
16.7%
O 1
16.7%
C 1
16.7%
B 1
16.7%
F 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 380
89.2%
Common 40
 
9.4%
Latin 6
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 29
 
7.6%
식 13
 
3.4%
이 12
 
3.2%
여 11
 
2.9%
농 11
 
2.9%
스 9
 
2.4%
마 9
 
2.4%
트 9
 
2.4%
품 8
 
2.1%
산 8
 
2.1%
Other values (121) 261
68.7%
Latin
ValueCountFrequency (%)
P 1
16.7%
R 1
16.7%
O 1
16.7%
C 1
16.7%
B 1
16.7%
F 1
16.7%
Common
ValueCountFrequency (%)
) 16
40.0%
( 16
40.0%
6
 
15.0%
. 1
 
2.5%
& 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 380
89.2%
ASCII 46
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
 
7.6%
식 13
 
3.4%
이 12
 
3.2%
여 11
 
2.9%
농 11
 
2.9%
스 9
 
2.4%
마 9
 
2.4%
트 9
 
2.4%
품 8
 
2.1%
산 8
 
2.1%
Other values (121) 261
68.7%
ASCII
ValueCountFrequency (%)
) 16
34.8%
( 16
34.8%
6
 
13.0%
. 1
 
2.2%
P 1
 
2.2%
R 1
 
2.2%
O 1
 
2.2%
C 1
 
2.2%
B 1
 
2.2%
F 1
 
2.2%

소재지
Text

Distinct59
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T07:29:42.828354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27
Mean length21.311475
Min length14

Characters and Unicode

Total characters1300
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)93.4%

Sample

1st row경기도 여주시 대신면 여양로 1084-14
2nd row경기도 여주시 흥천면 남산로 195, 1동 1,2층
3rd row경기도 여주시 흥천면 대당리 400-3
4th row경기도 여주시 가남읍 태평리 산 24
5th row경기도 여주시 점동면 처리 204-4 외4필지
ValueCountFrequency (%)
경기도 61
19.1%
여주시 61
19.1%
1층 11
 
3.4%
점동면 8
 
2.5%
흥천면 7
 
2.2%
가남읍 7
 
2.2%
대신면 5
 
1.6%
하동 3
 
0.9%
세종로 3
 
0.9%
능서면 3
 
0.9%
Other values (124) 150
47.0%
2023-12-13T07:29:43.230210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
20.2%
여 76
 
5.8%
주 64
 
4.9%
도 63
 
4.8%
시 62
 
4.8%
경 61
 
4.7%
기 61
 
4.7%
1 59
 
4.5%
로 41
 
3.2%
4 33
 
2.5%
Other values (97) 518
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 744
57.2%
Space Separator 262
 
20.2%
Decimal Number 231
 
17.8%
Dash Punctuation 22
 
1.7%
Other Punctuation 18
 
1.4%
Close Punctuation 11
 
0.8%
Open Punctuation 11
 
0.8%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
여 76
 
10.2%
주 64
 
8.6%
도 63
 
8.5%
시 62
 
8.3%
경 61
 
8.2%
기 61
 
8.2%
로 41
 
5.5%
면 30
 
4.0%
동 27
 
3.6%
길 23
 
3.1%
Other values (81) 236
31.7%
Decimal Number
ValueCountFrequency (%)
1 59
25.5%
4 33
14.3%
6 23
 
10.0%
5 23
 
10.0%
2 19
 
8.2%
7 18
 
7.8%
3 18
 
7.8%
0 15
 
6.5%
8 12
 
5.2%
9 11
 
4.8%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 744
57.2%
Common 555
42.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
여 76
 
10.2%
주 64
 
8.6%
도 63
 
8.5%
시 62
 
8.3%
경 61
 
8.2%
기 61
 
8.2%
로 41
 
5.5%
면 30
 
4.0%
동 27
 
3.6%
길 23
 
3.1%
Other values (81) 236
31.7%
Common
ValueCountFrequency (%)
262
47.2%
1 59
 
10.6%
4 33
 
5.9%
6 23
 
4.1%
5 23
 
4.1%
- 22
 
4.0%
2 19
 
3.4%
7 18
 
3.2%
3 18
 
3.2%
, 18
 
3.2%
Other values (5) 60
 
10.8%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 744
57.2%
ASCII 556
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
47.1%
1 59
 
10.6%
4 33
 
5.9%
6 23
 
4.1%
5 23
 
4.1%
- 22
 
4.0%
2 19
 
3.4%
7 18
 
3.2%
3 18
 
3.2%
, 18
 
3.2%
Other values (6) 61
 
11.0%
Hangul
ValueCountFrequency (%)
여 76
 
10.2%
주 64
 
8.6%
도 63
 
8.5%
시 62
 
8.3%
경 61
 
8.2%
기 61
 
8.2%
로 41
 
5.5%
면 30
 
4.0%
동 27
 
3.6%
길 23
 
3.1%
Other values (81) 236
31.7%

영업장면적
Text

Distinct56
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T07:29:43.441534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length3.9016393
Min length1

Characters and Unicode

Total characters238
Distinct characters12
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

Unique52 ?
Unique (%)85.2%

Sample

1st row87
2nd row240.78
3rd row74.4
4th row6.6
5th row433.5
ValueCountFrequency (%)
6.6 3
 
4.9%
33 2
 
3.3%
2 2
 
3.3%
100 2
 
3.3%
10.03 1
 
1.6%
37.21 1
 
1.6%
18.56 1
 
1.6%
54.4 1
 
1.6%
10.43 1
 
1.6%
143.14 1
 
1.6%
Other values (46) 46
75.4%
2023-12-13T07:29:43.792602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 43
18.1%
1 32
13.4%
4 30
12.6%
6 26
10.9%
3 20
8.4%
8 18
7.6%
2 16
 
6.7%
0 15
 
6.3%
7 15
 
6.3%
5 12
 
5.0%
Other values (2) 11
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 194
81.5%
Other Punctuation 44
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 32
16.5%
4 30
15.5%
6 26
13.4%
3 20
10.3%
8 18
9.3%
2 16
8.2%
0 15
7.7%
7 15
7.7%
5 12
 
6.2%
9 10
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 43
97.7%
, 1
 
2.3%

Most occurring scripts

ValueCountFrequency (%)
Common 238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 43
18.1%
1 32
13.4%
4 30
12.6%
6 26
10.9%
3 20
8.4%
8 18
7.6%
2 16
 
6.7%
0 15
 
6.3%
7 15
 
6.3%
5 12
 
5.0%
Other values (2) 11
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 43
18.1%
1 32
13.4%
4 30
12.6%
6 26
10.9%
3 20
8.4%
8 18
7.6%
2 16
 
6.7%
0 15
 
6.3%
7 15
 
6.3%
5 12
 
5.0%
Other values (2) 11
 
4.6%

소재지전화
Text

MISSING 

Distinct43
Distinct (%)100.0%
Missing18
Missing (%)29.5%
Memory size620.0 B
2023-12-13T07:29:44.020794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique43 ?
Unique (%)100.0%

Sample

1st row031-881-2210
2nd row031-883-2256
3rd row031-881-3731
4th row031-884-2366
5th row031-883-8288
ValueCountFrequency (%)
031-881-2210 1
 
2.3%
031-883-7001 1
 
2.3%
031-884-8336 1
 
2.3%
031-883-3271 1
 
2.3%
031-886-3488 1
 
2.3%
031-884-5100 1
 
2.3%
031-886-2542 1
 
2.3%
031-544-2255 1
 
2.3%
031-882-3810 1
 
2.3%
031-881-5141 1
 
2.3%
Other values (33) 33
76.7%
2023-12-13T07:29:44.382471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 110
21.3%
- 86
16.7%
3 82
15.9%
0 66
12.8%
1 64
12.4%
5 25
 
4.8%
2 23
 
4.5%
4 22
 
4.3%
6 18
 
3.5%
7 11
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 110
25.6%
3 82
19.1%
0 66
15.3%
1 64
14.9%
5 25
 
5.8%
2 23
 
5.3%
4 22
 
5.1%
6 18
 
4.2%
7 11
 
2.6%
9 9
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 110
21.3%
- 86
16.7%
3 82
15.9%
0 66
12.8%
1 64
12.4%
5 25
 
4.8%
2 23
 
4.5%
4 22
 
4.3%
6 18
 
3.5%
7 11
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 110
21.3%
- 86
16.7%
3 82
15.9%
0 66
12.8%
1 64
12.4%
5 25
 
4.8%
2 23
 
4.5%
4 22
 
4.3%
6 18
 
3.5%
7 11
 
2.1%

영업자시작일
Date

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1996-12-04 00:00:00
Maximum2021-07-08 00:00:00
2023-12-13T07:29:44.540385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:29:44.711207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

우편번호
Text

Distinct34
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T07:29:44.925670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.1311475
Min length5

Characters and Unicode

Total characters313
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

Unique17 ?
Unique (%)27.9%

Sample

1st row12611
2nd row12605
3rd row469-823
4th row469-884
5th row469-872
ValueCountFrequency (%)
12623 7
 
11.5%
12607 4
 
6.6%
12639 4
 
6.6%
12659 3
 
4.9%
12641 2
 
3.3%
12668 2
 
3.3%
12604 2
 
3.3%
12616 2
 
3.3%
12605 2
 
3.3%
12648 2
 
3.3%
Other values (24) 31
50.8%
2023-12-13T07:29:45.286041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 74
23.6%
2 71
22.7%
1 68
21.7%
3 20
 
6.4%
4 16
 
5.1%
9 15
 
4.8%
0 14
 
4.5%
5 13
 
4.2%
7 9
 
2.9%
8 9
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 309
98.7%
Dash Punctuation 4
 
1.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 74
23.9%
2 71
23.0%
1 68
22.0%
3 20
 
6.5%
4 16
 
5.2%
9 15
 
4.9%
0 14
 
4.5%
5 13
 
4.2%
7 9
 
2.9%
8 9
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 74
23.6%
2 71
22.7%
1 68
21.7%
3 20
 
6.4%
4 16
 
5.1%
9 15
 
4.8%
0 14
 
4.5%
5 13
 
4.2%
7 9
 
2.9%
8 9
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 74
23.6%
2 71
22.7%
1 68
21.7%
3 20
 
6.4%
4 16
 
5.1%
9 15
 
4.8%
0 14
 
4.5%
5 13
 
4.2%
7 9
 
2.9%
8 9
 
2.9%

소재지시작일
Date

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
Minimum1996-12-04 00:00:00
Maximum2021-04-15 00:00:00
2023-12-13T07:29:45.439147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:29:45.580068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Correlations

2023-12-13T07:29:45.693012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인허가일자업소명소재지영업장면적소재지전화영업자시작일우편번호소재지시작일
인허가일자1.0001.0001.0001.0001.0001.0001.0001.000
업소명1.0001.0000.9920.9961.0001.0000.9891.000
소재지1.0000.9921.0000.9741.0000.9921.0001.000
영업장면적1.0000.9960.9741.0001.0000.9960.9181.000
소재지전화1.0001.0001.0001.0001.0001.0001.0001.000
영업자시작일1.0001.0000.9920.9961.0001.0000.9891.000
우편번호1.0000.9891.0000.9181.0000.9891.0001.000
소재지시작일1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T07:29:41.409967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:29:41.546893image/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

업종명인허가일자업소명소재지영업장면적소재지전화영업자시작일우편번호소재지시작일
0식품소분업1996-12-04여주농산경기도 여주시 대신면 여양로 1084-1487031-881-22101996-12-04126111996-12-04
1식품소분업1997-10-23영일종합식품경기도 여주시 흥천면 남산로 195, 1동 1,2층240.78<NA>2009-06-29126052015-05-14
2식품소분업1999-04-12한국루이스제조상사경기도 여주시 흥천면 대당리 400-374.4031-883-22561999-04-12469-8231999-04-12
3식품소분업2000-10-31데카마트경기도 여주시 가남읍 태평리 산 246.6031-881-37312000-10-31469-8842000-10-31
4식품소분업2000-02-28두보식품(주)여주공장경기도 여주시 점동면 처리 204-4 외4필지433.5031-884-23662004-11-09469-8722004-11-09
5식품소분업2000-09-08대림마트경기도 여주시 청심로 9612031-883-82882018-08-01126232000-09-08
6식품소분업2000-12-01여주축협하나로마트경기도 여주시 강변북로 50383.44031-886-24712019-04-15126392012-04-19
7식품소분업2002-06-20오케이마트주식회사경기도 여주시 여흥로 3618.2031-885-53302013-12-27126242002-06-20
8식품소분업2003-02-28덕상푸드시스템경기도 여주시 가남읍 연대2길 6-25188.64031-884-93372003-02-28126602003-02-28
9식품소분업2003-03-10두부나라경기도 여주시 여흥로11번길 39-36.6031-884-78812006-03-06126232003-03-10
업종명인허가일자업소명소재지영업장면적소재지전화영업자시작일우편번호소재지시작일
51식품소분업2019-06-03청산CORP.(오가와)경기도 여주시 금사면 천양1길 2419.8<NA>2019-06-03126042019-06-03
52식품소분업2019-07-26웰빙뻥경기도 여주시 세종로237번길 22-16, 우측칸 지하1층 (교동)2<NA>2019-07-26126512019-07-26
53식품소분업2019-09-25참누리곤충농원경기도 여주시 점동면 건장이길 57-4227.14<NA>2019-09-25126652019-09-25
54식품소분업2019-11-21(주)헬스앤라이프경기도 여주시 가남읍 여주남로 714-5831.27<NA>2020-12-04126492019-11-21
55식품소분업2020-02-14건짱경기도 여주시 세종로 254-20 (교동)7.18<NA>2020-02-14126522021-03-11
56식품소분업2020-05-08리치하우스커피경기도 여주시 여흥로47번길 17, 1층 (하동)9.68<NA>2020-05-08126232020-05-08
57식품소분업2020-06-02지학희뻥튀기경기도 여주시 여흥로57번길 20, 하리시장 1층 8호 (하동)8.94<NA>2020-06-02126232020-06-02
58식품소분업2020-08-07농업회사법인 주식회사 예림원경기도 여주시 강천면 긴등길 1410.03031-883-01782020-08-07126162020-08-07
59식품소분업2020-11-20파티붕붕경기도 여주시 점동면 가남로 1037, 1동37.21<NA>2020-11-20126672020-11-20
60식품소분업2021-04-09주식회사 이엘푸드경기도 여주시 대신면 무촌길 11, 3동60<NA>2021-06-14126092021-04-09