Overview

Dataset statistics

Number of variables6
Number of observations100
Missing cells32
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory50.3 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description인천광역시 남동구 식품소분업에 관한 데이터로 업종명, 업소명, 소재지(도로명, 지번주소), 소재지 전화번호 등을 제공합니다.
Author인천광역시 남동구
URLhttps://www.data.go.kr/data/15113494/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 32 (32.0%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:21:31.187896
Analysis finished2024-04-21 02:21:33.695075
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-21T11:21:33.782359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-04-21T11:21:33.921939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 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%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
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 (%)
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%
93 1
1.0%
92 1
1.0%
91 1
1.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
식품소분업
100 

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 100
100.0%

Length

2024-04-21T11:21:34.052982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:21:34.139322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품소분업 100
100.0%

업소명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-21T11:21:34.355803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length6.32
Min length2

Characters and Unicode

Total characters632
Distinct characters189
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

Unique100 ?
Unique (%)100.0%

Sample

1st row으뜸건어물
2nd row진로할인마트(주)
3rd row(주)첨맘유통
4th row(주)청보그린
5th row모위코리아(주)
ValueCountFrequency (%)
주식회사 15
 
12.7%
인천점 2
 
1.7%
주)청아식품 1
 
0.8%
채움바이오 1
 
0.8%
옥도건어물 1
 
0.8%
정은수산 1
 
0.8%
주)동추원fnb 1
 
0.8%
돌고래상회 1
 
0.8%
진유통 1
 
0.8%
황금수산 1
 
0.8%
Other values (93) 93
78.8%
2024-04-21T11:21:34.746969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 42
 
6.6%
) 28
 
4.4%
( 28
 
4.4%
식 27
 
4.3%
드 26
 
4.1%
푸 21
 
3.3%
사 18
 
2.8%
18
 
2.8%
이 17
 
2.7%
회 17
 
2.7%
Other values (179) 390
61.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 550
87.0%
Close Punctuation 28
 
4.4%
Open Punctuation 28
 
4.4%
Space Separator 18
 
2.8%
Uppercase Letter 4
 
0.6%
Decimal Number 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 42
 
7.6%
식 27
 
4.9%
드 26
 
4.7%
푸 21
 
3.8%
사 18
 
3.3%
이 17
 
3.1%
회 17
 
3.1%
스 12
 
2.2%
통 9
 
1.6%
품 9
 
1.6%
Other values (170) 352
64.0%
Uppercase Letter
ValueCountFrequency (%)
N 2
50.0%
B 1
25.0%
F 1
25.0%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
6 1
25.0%
3 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 550
87.0%
Common 78
 
12.3%
Latin 4
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 42
 
7.6%
식 27
 
4.9%
드 26
 
4.7%
푸 21
 
3.8%
사 18
 
3.3%
이 17
 
3.1%
회 17
 
3.1%
스 12
 
2.2%
통 9
 
1.6%
품 9
 
1.6%
Other values (170) 352
64.0%
Common
ValueCountFrequency (%)
) 28
35.9%
( 28
35.9%
18
23.1%
5 2
 
2.6%
6 1
 
1.3%
3 1
 
1.3%
Latin
ValueCountFrequency (%)
N 2
50.0%
B 1
25.0%
F 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 550
87.0%
ASCII 82
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 42
 
7.6%
식 27
 
4.9%
드 26
 
4.7%
푸 21
 
3.8%
사 18
 
3.3%
이 17
 
3.1%
회 17
 
3.1%
스 12
 
2.2%
통 9
 
1.6%
품 9
 
1.6%
Other values (170) 352
64.0%
ASCII
ValueCountFrequency (%)
) 28
34.1%
( 28
34.1%
18
22.0%
N 2
 
2.4%
5 2
 
2.4%
6 1
 
1.2%
3 1
 
1.2%
B 1
 
1.2%
F 1
 
1.2%

소재지(도로명)
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-21T11:21:35.050823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length48
Mean length38.31
Min length23

Characters and Unicode

Total characters3831
Distinct characters172
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

Unique100 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 인하로511번길 10-12 (구월동)
2nd row인천광역시 남동구 담방로 45, 지하1층 (만수동)
3rd row인천광역시 남동구 은봉로60번길 12 (논현동, 2층일부)
4th row인천광역시 남동구 남동서로23번길 83, 1층 (고잔동, 133블록 2로트)
5th row인천광역시 남동구 앵고개로 595, H동 1층 (고잔동, 108블록 4로트)
ValueCountFrequency (%)
인천광역시 100
 
13.1%
남동구 100
 
13.1%
일부호 48
 
6.3%
1층 45
 
5.9%
고잔동 32
 
4.2%
2층 17
 
2.2%
구월동 15
 
2.0%
논현동 13
 
1.7%
3층 12
 
1.6%
남촌동 12
 
1.6%
Other values (240) 372
48.6%
2024-04-21T11:21:35.566795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
666
 
17.4%
동 258
 
6.7%
1 157
 
4.1%
남 146
 
3.8%
구 130
 
3.4%
시 115
 
3.0%
( 109
 
2.8%
) 109
 
2.8%
인 107
 
2.8%
천 105
 
2.7%
Other values (162) 1929
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2198
57.4%
Space Separator 666
 
17.4%
Decimal Number 609
 
15.9%
Open Punctuation 109
 
2.8%
Close Punctuation 109
 
2.8%
Other Punctuation 105
 
2.7%
Uppercase Letter 20
 
0.5%
Dash Punctuation 14
 
0.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 258
 
11.7%
남 146
 
6.6%
구 130
 
5.9%
시 115
 
5.2%
인 107
 
4.9%
천 105
 
4.8%
로 104
 
4.7%
역 101
 
4.6%
광 100
 
4.5%
호 99
 
4.5%
Other values (140) 933
42.4%
Decimal Number
ValueCountFrequency (%)
1 157
25.8%
2 97
15.9%
3 80
13.1%
5 59
 
9.7%
0 56
 
9.2%
4 52
 
8.5%
6 36
 
5.9%
7 30
 
4.9%
8 29
 
4.8%
9 13
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
A 6
30.0%
D 5
25.0%
B 4
20.0%
C 3
15.0%
H 1
 
5.0%
F 1
 
5.0%
Space Separator
ValueCountFrequency (%)
666
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Other Punctuation
ValueCountFrequency (%)
, 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2198
57.4%
Common 1613
42.1%
Latin 20
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 258
 
11.7%
남 146
 
6.6%
구 130
 
5.9%
시 115
 
5.2%
인 107
 
4.9%
천 105
 
4.8%
로 104
 
4.7%
역 101
 
4.6%
광 100
 
4.5%
호 99
 
4.5%
Other values (140) 933
42.4%
Common
ValueCountFrequency (%)
666
41.3%
1 157
 
9.7%
( 109
 
6.8%
) 109
 
6.8%
, 105
 
6.5%
2 97
 
6.0%
3 80
 
5.0%
5 59
 
3.7%
0 56
 
3.5%
4 52
 
3.2%
Other values (6) 123
 
7.6%
Latin
ValueCountFrequency (%)
A 6
30.0%
D 5
25.0%
B 4
20.0%
C 3
15.0%
H 1
 
5.0%
F 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2198
57.4%
ASCII 1633
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
666
40.8%
1 157
 
9.6%
( 109
 
6.7%
) 109
 
6.7%
, 105
 
6.4%
2 97
 
5.9%
3 80
 
4.9%
5 59
 
3.6%
0 56
 
3.4%
4 52
 
3.2%
Other values (12) 143
 
8.8%
Hangul
ValueCountFrequency (%)
동 258
 
11.7%
남 146
 
6.6%
구 130
 
5.9%
시 115
 
5.2%
인 107
 
4.9%
천 105
 
4.8%
로 104
 
4.7%
역 101
 
4.6%
광 100
 
4.5%
호 99
 
4.5%
Other values (140) 933
42.4%

소재지(지번)
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-04-21T11:21:35.795229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length29.75
Min length20

Characters and Unicode

Total characters2975
Distinct characters130
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

Unique100 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 구월동 1174-4
2nd row인천광역시 남동구 만수동 1020-2 지하1층
3rd row인천광역시 남동구 논현동 446-4 2층일부
4th row인천광역시 남동구 고잔동 704-1 133블록 2로트, 1층일부
5th row인천광역시 남동구 고잔동 658-1 1층일부
ValueCountFrequency (%)
인천광역시 100
 
16.5%
남동구 100
 
16.5%
고잔동 33
 
5.4%
1층 23
 
3.8%
일부호 19
 
3.1%
일부 17
 
2.8%
구월동 15
 
2.5%
논현동 13
 
2.1%
남촌동 12
 
2.0%
간석동 10
 
1.6%
Other values (170) 265
43.7%
2024-04-21T11:21:36.150821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
594
20.0%
동 230
 
7.7%
1 171
 
5.7%
남 119
 
4.0%
구 118
 
4.0%
시 109
 
3.7%
인 100
 
3.4%
광 100
 
3.4%
역 100
 
3.4%
천 100
 
3.4%
Other values (120) 1234
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1609
54.1%
Decimal Number 623
 
20.9%
Space Separator 594
 
20.0%
Dash Punctuation 94
 
3.2%
Other Punctuation 17
 
0.6%
Uppercase Letter 17
 
0.6%
Close Punctuation 10
 
0.3%
Open Punctuation 10
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 230
14.3%
남 119
 
7.4%
구 118
 
7.3%
시 109
 
6.8%
인 100
 
6.2%
광 100
 
6.2%
역 100
 
6.2%
천 100
 
6.2%
층 76
 
4.7%
부 67
 
4.2%
Other values (100) 490
30.5%
Decimal Number
ValueCountFrequency (%)
1 171
27.4%
2 94
15.1%
6 66
 
10.6%
3 59
 
9.5%
4 56
 
9.0%
5 46
 
7.4%
0 42
 
6.7%
7 36
 
5.8%
8 29
 
4.7%
9 24
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
D 5
29.4%
A 5
29.4%
B 4
23.5%
C 3
17.6%
Space Separator
ValueCountFrequency (%)
594
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 94
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1609
54.1%
Common 1349
45.3%
Latin 17
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 230
14.3%
남 119
 
7.4%
구 118
 
7.3%
시 109
 
6.8%
인 100
 
6.2%
광 100
 
6.2%
역 100
 
6.2%
천 100
 
6.2%
층 76
 
4.7%
부 67
 
4.2%
Other values (100) 490
30.5%
Common
ValueCountFrequency (%)
594
44.0%
1 171
 
12.7%
2 94
 
7.0%
- 94
 
7.0%
6 66
 
4.9%
3 59
 
4.4%
4 56
 
4.2%
5 46
 
3.4%
0 42
 
3.1%
7 36
 
2.7%
Other values (6) 91
 
6.7%
Latin
ValueCountFrequency (%)
D 5
29.4%
A 5
29.4%
B 4
23.5%
C 3
17.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1609
54.1%
ASCII 1366
45.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
594
43.5%
1 171
 
12.5%
2 94
 
6.9%
- 94
 
6.9%
6 66
 
4.8%
3 59
 
4.3%
4 56
 
4.1%
5 46
 
3.4%
0 42
 
3.1%
7 36
 
2.6%
Other values (10) 108
 
7.9%
Hangul
ValueCountFrequency (%)
동 230
14.3%
남 119
 
7.4%
구 118
 
7.3%
시 109
 
6.8%
인 100
 
6.2%
광 100
 
6.2%
역 100
 
6.2%
천 100
 
6.2%
층 76
 
4.7%
부 67
 
4.2%
Other values (100) 490
30.5%

소재지전화
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing32
Missing (%)32.0%
Memory size932.0 B
2024-04-21T11:21:36.399976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length9

Characters and Unicode

Total characters816
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

Unique68 ?
Unique (%)100.0%

Sample

1st row032-437-4984
2nd row032-461-7007
3rd row032-821-4348
4th row032-811-9025
5th row032-815-1828
ValueCountFrequency (%)
032-551-3666 1
 
1.5%
032-430-5821 1
 
1.5%
032-465-4003 1
 
1.5%
070-5015-2390 1
 
1.5%
070-4001-3622 1
 
1.5%
032-433-3494 1
 
1.5%
070-4406-7915 1
 
1.5%
032-431-7247 1
 
1.5%
032-817-5893 1
 
1.5%
070-7005-5222 1
 
1.5%
Other values (58) 58
85.3%
2024-04-21T11:21:36.817031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 133
16.3%
0 125
15.3%
2 109
13.4%
3 99
12.1%
4 65
8.0%
1 58
7.1%
7 54
6.6%
8 52
 
6.4%
5 43
 
5.3%
6 41
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 683
83.7%
Dash Punctuation 133
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 125
18.3%
2 109
16.0%
3 99
14.5%
4 65
9.5%
1 58
8.5%
7 54
7.9%
8 52
7.6%
5 43
 
6.3%
6 41
 
6.0%
9 37
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 816
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 133
16.3%
0 125
15.3%
2 109
13.4%
3 99
12.1%
4 65
8.0%
1 58
7.1%
7 54
6.6%
8 52
 
6.4%
5 43
 
5.3%
6 41
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 816
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 133
16.3%
0 125
15.3%
2 109
13.4%
3 99
12.1%
4 65
8.0%
1 58
7.1%
7 54
6.6%
8 52
 
6.4%
5 43
 
5.3%
6 41
 
5.0%

Interactions

2024-04-21T11:21:33.360187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:21:36.914744image/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

2024-04-21T11:21:33.539279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:21:33.646472image/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
01식품소분업으뜸건어물인천광역시 남동구 인하로511번길 10-12 (구월동)인천광역시 남동구 구월동 1174-4032-437-4984
12식품소분업진로할인마트(주)인천광역시 남동구 담방로 45, 지하1층 (만수동)인천광역시 남동구 만수동 1020-2 지하1층032-461-7007
23식품소분업(주)첨맘유통인천광역시 남동구 은봉로60번길 12 (논현동, 2층일부)인천광역시 남동구 논현동 446-4 2층일부032-821-4348
34식품소분업(주)청보그린인천광역시 남동구 남동서로23번길 83, 1층 (고잔동, 133블록 2로트)인천광역시 남동구 고잔동 704-1 133블록 2로트, 1층일부032-811-9025
45식품소분업모위코리아(주)인천광역시 남동구 앵고개로 595, H동 1층 (고잔동, 108블록 4로트)인천광역시 남동구 고잔동 658-1 1층일부032-815-1828
56식품소분업대운수산인천광역시 남동구 인하로521번길 6, 지하1층 (구월동)인천광역시 남동구 구월동 1175 지하1층전부032-437-3992
67식품소분업(주)와식자재마트인천광역시 남동구 서창남순환로215번길 51, 4층 (서창동, 형제빌딩)인천광역시 남동구 서창동 690-1 형제빌딩 4층일부032-473-9600
78식품소분업장승백이식품인천광역시 남동구 담방서로3번길 38, 창대장터상가 7동 126호 (만수동)인천광역시 남동구 만수동 1081-12 창대장터상가032-461-5399
89식품소분업골드식품인천광역시 남동구 청능대로468번길 80, 1층 일부호 (고잔동)인천광역시 남동구 고잔동 246-52 1층 일부호032-551-3666
910식품소분업농수산식자재마트인천광역시 남동구 호구포로 505, 1층 일부호 (남촌동)인천광역시 남동구 남촌동 242 1층 일부호032-472-9514
연번업종명업소명소재지(도로명)소재지(지번)소재지전화
9091식품소분업미래유통인천광역시 남동구 덕골로 130, 나동 1층 (수산동)인천광역시 남동구 수산동 541-1 나동 1층<NA>
9192식품소분업연경유통인천광역시 남동구 남촌시장로 13, 남촌 농산물 도매시장 식자재동 2층 D202호 (남촌동)인천광역시 남동구 남촌동 652 남촌 농산물 도매시장 식자재동 2층 D202호<NA>
9293식품소분업정통식품인천광역시 남동구 수현로 36, 1층 (장수동)인천광역시 남동구 장수동 380-16 1층<NA>
9394식품소분업베스트퍼시픽인천광역시 남동구 인주대로681번길 4, 5층 일부호 (구월동)인천광역시 남동구 구월동 1220 5층 일부호02-867-9908
9495식품소분업주식회사 라임트레이드인천광역시 남동구 소래역로 50, 토성프라자 4층 405호 (논현동)인천광역시 남동구 논현동 671-2 토성프라자<NA>
9596식품소분업고스락(주)인천광역시 남동구 남동서로113번길 11, 1층 일부호 (고잔동)인천광역시 남동구 고잔동 682-8 1층 일부<NA>
9697식품소분업푸드킹인천광역시 남동구 서판로54번길 52, 지하층 전체호 (만수동)인천광역시 남동구 만수동 854-35<NA>
9798식품소분업주식회사 이랜드킴스클럽 인천점인천광역시 남동구 인하로 485 (구월동)인천광역시 남동구 구월동 1465-1032-430-5821
9899식품소분업(주)제이케이푸드림인천광역시 남동구 매소홀로 1090, 1층 (서창동)인천광역시 남동구 서창동 550-1 1층일부032-721-7081
99100식품소분업다은유통인천광역시 남동구 남촌시장로 13, 남촌 농산물 도매시장 식자재동 2층 D208호 (남촌동)인천광역시 남동구 남촌동 652 남촌 농산물 도매시장 식자재동 2층 D208호<NA>