Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells3
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory53.3 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 미추홀구 기타식품판매업 현황에 대한 데이터로 업종명, 상호명, 도로명주소, 지번주소, 전화번호 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15080880/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 3 (9.7%) missing valuesMissing
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:50:39.087131
Analysis finished2024-03-23 05:50:39.933703
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-03-23T14:50:40.040337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-03-23T14:50:40.229320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
기타식품판매업
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타식품판매업 31
100.0%

Length

2024-03-23T14:50:40.399991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:50:40.526870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타식품판매업 31
100.0%

업소명
Text

Distinct29
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:50:40.738195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length8.9032258
Min length4

Characters and Unicode

Total characters276
Distinct characters87
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

Unique28 ?
Unique (%)90.3%

Sample

1st row토지시장마트
2nd row(주)지에스리테일 학익점
3rd row홈플러스(주)인하점
4th row제일홈마트
5th row롯데쇼핑(주) 롯데슈퍼 인천문학점
ValueCountFrequency (%)
학익점 4
 
8.9%
주)세계로유통 3
 
6.7%
행복한식자재마트 1
 
2.2%
공단소비자 1
 
2.2%
마트 1
 
2.2%
하모니마트(주안점 1
 
2.2%
삼라마트 1
 
2.2%
에덴마트(도화점 1
 
2.2%
우리할인마트 1
 
2.2%
바로마켓 1
 
2.2%
Other values (30) 30
66.7%
2024-03-23T14:50:41.287693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 22
 
8.0%
트 21
 
7.6%
14
 
5.1%
점 14
 
5.1%
( 11
 
4.0%
) 11
 
4.0%
인 10
 
3.6%
주 10
 
3.6%
스 8
 
2.9%
익 6
 
2.2%
Other values (77) 149
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
87.0%
Space Separator 14
 
5.1%
Open Punctuation 11
 
4.0%
Close Punctuation 11
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 22
 
9.2%
트 21
 
8.8%
점 14
 
5.8%
인 10
 
4.2%
주 10
 
4.2%
스 8
 
3.3%
익 6
 
2.5%
학 6
 
2.5%
홈 6
 
2.5%
천 5
 
2.1%
Other values (74) 132
55.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 240
87.0%
Common 36
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 22
 
9.2%
트 21
 
8.8%
점 14
 
5.8%
인 10
 
4.2%
주 10
 
4.2%
스 8
 
3.3%
익 6
 
2.5%
학 6
 
2.5%
홈 6
 
2.5%
천 5
 
2.1%
Other values (74) 132
55.0%
Common
ValueCountFrequency (%)
14
38.9%
( 11
30.6%
) 11
30.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
87.0%
ASCII 36
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 22
 
9.2%
트 21
 
8.8%
점 14
 
5.8%
인 10
 
4.2%
주 10
 
4.2%
스 8
 
3.3%
익 6
 
2.5%
학 6
 
2.5%
홈 6
 
2.5%
천 5
 
2.1%
Other values (74) 132
55.0%
ASCII
ValueCountFrequency (%)
14
38.9%
( 11
30.6%
) 11
30.6%

소재지(도로명)
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:50:41.647855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length40
Mean length30.548387
Min length23

Characters and Unicode

Total characters947
Distinct characters105
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 토금남로 53 (용현동)
2nd row인천광역시 미추홀구 소성로 146 (학익동)
3rd row인천광역시 미추홀구 소성로 6 (용현동,외1번지)
4th row인천광역시 미추홀구 제일로 39 (도화동)
5th row인천광역시 미추홀구 소성로 335 (문학동)
ValueCountFrequency (%)
인천광역시 31
 
16.8%
미추홀구 31
 
16.8%
1층 8
 
4.3%
주안동 7
 
3.8%
학익동 6
 
3.3%
매소홀로 6
 
3.3%
용현동 5
 
2.7%
도화동 5
 
2.7%
소성로 4
 
2.2%
숭의동 3
 
1.6%
Other values (71) 78
42.4%
2024-03-23T14:50:42.247769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
16.2%
1 41
 
4.3%
홀 38
 
4.0%
인 36
 
3.8%
동 34
 
3.6%
천 33
 
3.5%
미 32
 
3.4%
시 31
 
3.3%
추 31
 
3.3%
광 31
 
3.3%
Other values (95) 487
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 572
60.4%
Space Separator 153
 
16.2%
Decimal Number 134
 
14.1%
Open Punctuation 31
 
3.3%
Close Punctuation 31
 
3.3%
Other Punctuation 20
 
2.1%
Math Symbol 3
 
0.3%
Dash Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 38
 
6.6%
인 36
 
6.3%
동 34
 
5.9%
천 33
 
5.8%
미 32
 
5.6%
시 31
 
5.4%
추 31
 
5.4%
광 31
 
5.4%
구 31
 
5.4%
로 31
 
5.4%
Other values (78) 244
42.7%
Decimal Number
ValueCountFrequency (%)
1 41
30.6%
3 17
12.7%
8 16
 
11.9%
2 15
 
11.2%
5 12
 
9.0%
6 10
 
7.5%
4 9
 
6.7%
0 7
 
5.2%
9 5
 
3.7%
7 2
 
1.5%
Space Separator
ValueCountFrequency (%)
153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 572
60.4%
Common 374
39.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 38
 
6.6%
인 36
 
6.3%
동 34
 
5.9%
천 33
 
5.8%
미 32
 
5.6%
시 31
 
5.4%
추 31
 
5.4%
광 31
 
5.4%
구 31
 
5.4%
로 31
 
5.4%
Other values (78) 244
42.7%
Common
ValueCountFrequency (%)
153
40.9%
1 41
 
11.0%
( 31
 
8.3%
) 31
 
8.3%
, 20
 
5.3%
3 17
 
4.5%
8 16
 
4.3%
2 15
 
4.0%
5 12
 
3.2%
6 10
 
2.7%
Other values (6) 28
 
7.5%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 572
60.4%
ASCII 375
39.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
40.8%
1 41
 
10.9%
( 31
 
8.3%
) 31
 
8.3%
, 20
 
5.3%
3 17
 
4.5%
8 16
 
4.3%
2 15
 
4.0%
5 12
 
3.2%
6 10
 
2.7%
Other values (7) 29
 
7.7%
Hangul
ValueCountFrequency (%)
홀 38
 
6.6%
인 36
 
6.3%
동 34
 
5.9%
천 33
 
5.8%
미 32
 
5.6%
시 31
 
5.4%
추 31
 
5.4%
광 31
 
5.4%
구 31
 
5.4%
로 31
 
5.4%
Other values (78) 244
42.7%

소재지(지번)
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-03-23T14:50:42.588013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length25.967742
Min length17

Characters and Unicode

Total characters805
Distinct characters87
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 용현동 627-78 한양상가 지하1층
2nd row인천광역시 미추홀구 학익동 256-19
3rd row인천광역시 미추홀구 용현동 648 외1번지
4th row인천광역시 미추홀구 도화동 442-6
5th row인천광역시 미추홀구 문학동 385-3
ValueCountFrequency (%)
인천광역시 31
20.1%
미추홀구 31
20.1%
주안동 7
 
4.5%
학익동 6
 
3.9%
용현동 6
 
3.9%
도화동 5
 
3.2%
1층 5
 
3.2%
4
 
2.6%
문학동 3
 
1.9%
숭의동 3
 
1.9%
Other values (53) 53
34.4%
2024-03-23T14:50:43.144469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
151
18.8%
1 44
 
5.5%
인 33
 
4.1%
동 33
 
4.1%
천 33
 
4.1%
미 32
 
4.0%
홀 31
 
3.9%
구 31
 
3.9%
추 31
 
3.9%
시 31
 
3.9%
Other values (77) 355
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
56.4%
Decimal Number 163
 
20.2%
Space Separator 151
 
18.8%
Dash Punctuation 25
 
3.1%
Other Punctuation 9
 
1.1%
Math Symbol 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 33
 
7.3%
동 33
 
7.3%
천 33
 
7.3%
미 32
 
7.0%
홀 31
 
6.8%
구 31
 
6.8%
추 31
 
6.8%
시 31
 
6.8%
역 31
 
6.8%
광 31
 
6.8%
Other values (62) 137
30.2%
Decimal Number
ValueCountFrequency (%)
1 44
27.0%
3 17
 
10.4%
2 17
 
10.4%
4 17
 
10.4%
5 16
 
9.8%
6 15
 
9.2%
9 13
 
8.0%
8 9
 
5.5%
0 9
 
5.5%
7 6
 
3.7%
Space Separator
ValueCountFrequency (%)
151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
56.4%
Common 350
43.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 33
 
7.3%
동 33
 
7.3%
천 33
 
7.3%
미 32
 
7.0%
홀 31
 
6.8%
구 31
 
6.8%
추 31
 
6.8%
시 31
 
6.8%
역 31
 
6.8%
광 31
 
6.8%
Other values (62) 137
30.2%
Common
ValueCountFrequency (%)
151
43.1%
1 44
 
12.6%
- 25
 
7.1%
3 17
 
4.9%
2 17
 
4.9%
4 17
 
4.9%
5 16
 
4.6%
6 15
 
4.3%
9 13
 
3.7%
8 9
 
2.6%
Other values (4) 26
 
7.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
56.4%
ASCII 351
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
151
43.0%
1 44
 
12.5%
- 25
 
7.1%
3 17
 
4.8%
2 17
 
4.8%
4 17
 
4.8%
5 16
 
4.6%
6 15
 
4.3%
9 13
 
3.7%
8 9
 
2.6%
Other values (5) 27
 
7.7%
Hangul
ValueCountFrequency (%)
인 33
 
7.3%
동 33
 
7.3%
천 33
 
7.3%
미 32
 
7.0%
홀 31
 
6.8%
구 31
 
6.8%
추 31
 
6.8%
시 31
 
6.8%
역 31
 
6.8%
광 31
 
6.8%
Other values (62) 137
30.2%

소재지전화
Text

MISSING 

Distinct25
Distinct (%)89.3%
Missing3
Missing (%)9.7%
Memory size380.0 B
2024-03-23T14:50:43.452742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.964286
Min length11

Characters and Unicode

Total characters335
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

Unique23 ?
Unique (%)82.1%

Sample

1st row032-882-9162
2nd row032-874-1476
3rd row032-763-2080
4th row032-865-5255
5th row032-439-5756
ValueCountFrequency (%)
032-710-7699 3
 
10.7%
032-881-2400 2
 
7.1%
032-866-1376 1
 
3.6%
032-882-9162 1
 
3.6%
032-874-1005 1
 
3.6%
032-883-0021 1
 
3.6%
032-881-2929 1
 
3.6%
032-422-1421 1
 
3.6%
02-380-5983 1
 
3.6%
032-438-8988 1
 
3.6%
Other values (15) 15
53.6%
2024-03-23T14:50:43.945072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 56
16.7%
0 50
14.9%
2 49
14.6%
3 42
12.5%
8 36
10.7%
1 23
6.9%
7 18
 
5.4%
9 18
 
5.4%
6 15
 
4.5%
4 15
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 279
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 50
17.9%
2 49
17.6%
3 42
15.1%
8 36
12.9%
1 23
8.2%
7 18
 
6.5%
9 18
 
6.5%
6 15
 
5.4%
4 15
 
5.4%
5 13
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 335
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 56
16.7%
0 50
14.9%
2 49
14.6%
3 42
12.5%
8 36
10.7%
1 23
6.9%
7 18
 
5.4%
9 18
 
5.4%
6 15
 
4.5%
4 15
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 335
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 56
16.7%
0 50
14.9%
2 49
14.6%
3 42
12.5%
8 36
10.7%
1 23
6.9%
7 18
 
5.4%
9 18
 
5.4%
6 15
 
4.5%
4 15
 
4.5%

Interactions

2024-03-23T14:50:39.453569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T14:50:44.102534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)소재지전화
연번1.0001.0001.0001.0001.000
업소명1.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2024-03-23T14:50:39.666146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:50:39.859893image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화
01기타식품판매업토지시장마트인천광역시 미추홀구 토금남로 53 (용현동)인천광역시 미추홀구 용현동 627-78 한양상가 지하1층032-882-9162
12기타식품판매업(주)지에스리테일 학익점인천광역시 미추홀구 소성로 146 (학익동)인천광역시 미추홀구 학익동 256-19032-874-1476
23기타식품판매업홈플러스(주)인하점인천광역시 미추홀구 소성로 6 (용현동,외1번지)인천광역시 미추홀구 용현동 648 외1번지032-763-2080
34기타식품판매업제일홈마트인천광역시 미추홀구 제일로 39 (도화동)인천광역시 미추홀구 도화동 442-6032-865-5255
45기타식품판매업롯데쇼핑(주) 롯데슈퍼 인천문학점인천광역시 미추홀구 소성로 335 (문학동)인천광역시 미추홀구 문학동 385-3032-439-5756
56기타식품판매업빅토리할인마트인천광역시 미추홀구 매소홀로 355 (학익동)인천광역시 미추홀구 학익동 209-3032-863-9393
67기타식품판매업홈플러스 익스프레스 인천학익점인천광역시 미추홀구 매소홀로488번길 6-32 (학익동)인천광역시 미추홀구 학익동 663-1032-834-8656
78기타식품판매업홈플러스(주)인천숭의점인천광역시 미추홀구 석정로 지하 51 (숭의동)인천광역시 미추홀구 숭의동 393-3 지하2,3층032-719-2000
89기타식품판매업에이스마트인천광역시 미추홀구 주안로56번길 3, A동 1층 (주안동)인천광역시 미추홀구 주안동 264-1 A동 1층호<NA>
910기타식품판매업석바위시장마트인천광역시 미추홀구 경원대로852번길 15 (주안동)인천광역시 미추홀구 주안동 952-1032-428-7771
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
2122기타식품판매업삼라마트인천광역시 미추홀구 제일로 31 (도화동)인천광역시 미추홀구 도화동 434-2 삼라마이다스032-873-5858
2223기타식품판매업에덴마트(도화점)인천광역시 미추홀구 숙골로87번길 8 (도화동)인천광역시 미추홀구 도화동 0032-874-2122
2324기타식품판매업우리할인마트인천광역시 미추홀구 소성로 289 (문학동)인천광역시 미추홀구 문학동 357-9032-438-8988
2425기타식품판매업바로마켓인천광역시 미추홀구 매소홀로 618, 문학경기장 1층 (문학동)인천광역시 미추홀구 문학동 482 문학경기장<NA>
2526기타식품판매업(주)이마트에브리데이 인천도화점인천광역시 미추홀구 숙골로88번길 12, 110동 지하1층 20호 (도화동, 더샵 인천스카이타워 1단지)인천광역시 미추홀구 도화동 1011 더샵 인천스카이타워 1단지02-380-5983
2627기타식품판매업신성할인마트인천광역시 미추홀구 주안중로 25, 신성쇼핑 1층 103호 (주안동)인천광역시 미추홀구 주안동 169 신성쇼핑 103호032-422-1421
2728기타식품판매업킹식자재마트인천광역시 미추홀구 토금중로 13, 풍림하나로쇼핑센타 105호 (용현동)인천광역시 미추홀구 용현동 628-62 풍림하나로쇼핑센타 105호032-881-2929
2829기타식품판매업다연 홈마트인천광역시 미추홀구 경인로 116, 형제빌딩 1층 (숭의동)인천광역시 미추홀구 숭의동 60-31 형제빌딩 1층032-883-0021
2930기타식품판매업비엔컴퍼니(주) 팜스마트인천광역시 미추홀구 인주대로 384, 1~2층 (주안동)인천광역시 미추홀구 주안동 1457-4032-874-1005
3031기타식품판매업롯데백화점 인천점인천광역시 미추홀구 연남로 35, 인천종합터미널,롯데백화점 지하1층 (관교동)인천광역시 미추홀구 관교동 15 인천종합터미널,롯데백화점032-242-2011