Overview

Dataset statistics

Number of variables5
Number of observations49
Missing cells1
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory43.7 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 남동구 동네마트현황(300㎡ 이상 점포)에 대한 데이터로 연번, 업소명, 소재지(도로명), 소재지(지번), 소재지전화번호 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15102066/fileData.do

Alerts

소재지전화 has 1 (2.0%) missing valuesMissing
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:53:22.234368
Analysis finished2023-12-12 08:53:23.015083
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T17:53:23.123385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-12T17:53:23.304307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

업소명
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T17:53:23.608449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length8.5102041
Min length3

Characters and Unicode

Total characters417
Distinct characters109
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

Unique47 ?
Unique (%)95.9%

Sample

1st row(주)지에스리테일
2nd row남동농협하나로마트
3rd row즐거운마트인향점
4th row주식회사 이랜드킴스클럽 인천점
5th row심도유통
ValueCountFrequency (%)
동양홈마트 2
 
3.5%
주)지에스리테일 1
 
1.8%
구월하나마트 1
 
1.8%
행복한마트 1
 
1.8%
g마트 1
 
1.8%
동서로마트 1
 
1.8%
주)아주유통 1
 
1.8%
모연홈마트 1
 
1.8%
빅마트 1
 
1.8%
주)와식자재마트 1
 
1.8%
Other values (46) 46
80.7%
2023-12-12T17:53:24.107972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
마 30
 
7.2%
트 30
 
7.2%
주 22
 
5.3%
) 22
 
5.3%
( 21
 
5.0%
점 17
 
4.1%
이 12
 
2.9%
인 10
 
2.4%
에 10
 
2.4%
스 10
 
2.4%
Other values (99) 233
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 363
87.1%
Close Punctuation 22
 
5.3%
Open Punctuation 21
 
5.0%
Space Separator 8
 
1.9%
Decimal Number 2
 
0.5%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 30
 
8.3%
트 30
 
8.3%
주 22
 
6.1%
점 17
 
4.7%
이 12
 
3.3%
인 10
 
2.8%
에 10
 
2.8%
스 10
 
2.8%
홈 8
 
2.2%
리 7
 
1.9%
Other values (94) 207
57.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 363
87.1%
Common 53
 
12.7%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 30
 
8.3%
트 30
 
8.3%
주 22
 
6.1%
점 17
 
4.7%
이 12
 
3.3%
인 10
 
2.8%
에 10
 
2.8%
스 10
 
2.8%
홈 8
 
2.2%
리 7
 
1.9%
Other values (94) 207
57.0%
Common
ValueCountFrequency (%)
) 22
41.5%
( 21
39.6%
8
 
15.1%
2 2
 
3.8%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 363
87.1%
ASCII 54
 
12.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
마 30
 
8.3%
트 30
 
8.3%
주 22
 
6.1%
점 17
 
4.7%
이 12
 
3.3%
인 10
 
2.8%
에 10
 
2.8%
스 10
 
2.8%
홈 8
 
2.2%
리 7
 
1.9%
Other values (94) 207
57.0%
ASCII
ValueCountFrequency (%)
) 22
40.7%
( 21
38.9%
8
 
14.8%
2 2
 
3.7%
G 1
 
1.9%

소재지(도로명)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T17:53:24.417663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length47
Mean length37.204082
Min length23

Characters and Unicode

Total characters1823
Distinct characters143
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 만수로50번길 53 (만수동)
2nd row인천광역시 남동구 장승로 28, 지하1층 (만수동)
3rd row인천광역시 남동구 인주대로 670, 지하1층 104,105호 (구월동, 인향콤비타워)
4th row인천광역시 남동구 인하로 485 (구월동)
5th row인천광역시 남동구 용천로168번길 38 (간석동)
ValueCountFrequency (%)
인천광역시 49
 
14.5%
남동구 49
 
14.5%
1층 20
 
5.9%
논현동 13
 
3.8%
지하1층 11
 
3.3%
구월동 10
 
3.0%
만수동 9
 
2.7%
간석동 9
 
2.7%
서창동 7
 
2.1%
전부호 4
 
1.2%
Other values (137) 157
46.4%
2023-12-12T17:53:24.872595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
289
 
15.9%
1 111
 
6.1%
동 108
 
5.9%
, 74
 
4.1%
구 70
 
3.8%
남 60
 
3.3%
인 54
 
3.0%
시 52
 
2.9%
천 51
 
2.8%
역 50
 
2.7%
Other values (133) 904
49.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1026
56.3%
Decimal Number 314
 
17.2%
Space Separator 289
 
15.9%
Other Punctuation 74
 
4.1%
Open Punctuation 49
 
2.7%
Close Punctuation 49
 
2.7%
Uppercase Letter 11
 
0.6%
Math Symbol 7
 
0.4%
Dash Punctuation 3
 
0.2%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 108
 
10.5%
구 70
 
6.8%
남 60
 
5.8%
인 54
 
5.3%
시 52
 
5.1%
천 51
 
5.0%
역 50
 
4.9%
광 49
 
4.8%
로 49
 
4.8%
층 49
 
4.8%
Other values (110) 434
42.3%
Decimal Number
ValueCountFrequency (%)
1 111
35.4%
0 40
 
12.7%
2 32
 
10.2%
6 23
 
7.3%
5 21
 
6.7%
7 19
 
6.1%
8 19
 
6.1%
3 19
 
6.1%
4 17
 
5.4%
9 13
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
D 1
 
9.1%
C 1
 
9.1%
I 1
 
9.1%
A 1
 
9.1%
N 1
 
9.1%
Space Separator
ValueCountFrequency (%)
289
100.0%
Other Punctuation
ValueCountFrequency (%)
, 74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 49
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
56.3%
Common 785
43.1%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 108
 
10.5%
구 70
 
6.8%
남 60
 
5.8%
인 54
 
5.3%
시 52
 
5.1%
천 51
 
5.0%
역 50
 
4.9%
광 49
 
4.8%
로 49
 
4.8%
층 49
 
4.8%
Other values (110) 434
42.3%
Common
ValueCountFrequency (%)
289
36.8%
1 111
 
14.1%
, 74
 
9.4%
( 49
 
6.2%
) 49
 
6.2%
0 40
 
5.1%
2 32
 
4.1%
6 23
 
2.9%
5 21
 
2.7%
7 19
 
2.4%
Other values (6) 78
 
9.9%
Latin
ValueCountFrequency (%)
B 6
50.0%
D 1
 
8.3%
C 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
N 1
 
8.3%
b 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1026
56.3%
ASCII 797
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
289
36.3%
1 111
 
13.9%
, 74
 
9.3%
( 49
 
6.1%
) 49
 
6.1%
0 40
 
5.0%
2 32
 
4.0%
6 23
 
2.9%
5 21
 
2.6%
7 19
 
2.4%
Other values (13) 90
 
11.3%
Hangul
ValueCountFrequency (%)
동 108
 
10.5%
구 70
 
6.8%
남 60
 
5.8%
인 54
 
5.3%
시 52
 
5.1%
천 51
 
5.0%
역 50
 
4.9%
광 49
 
4.8%
로 49
 
4.8%
층 49
 
4.8%
Other values (110) 434
42.3%

소재지(지번)
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T17:53:25.127826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length39
Mean length31
Min length17

Characters and Unicode

Total characters1519
Distinct characters114
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 만수동 18
2nd row인천광역시 남동구 만수동 1014-1 지하1층일부
3rd row인천광역시 남동구 구월동 277 인향콤비타워 지하1층 104,105호
4th row인천광역시 남동구 구월동 1465-1
5th row인천광역시 남동구 간석동 224-548
ValueCountFrequency (%)
인천광역시 49
17.6%
남동구 49
17.6%
논현동 13
 
4.7%
만수동 10
 
3.6%
1층 10
 
3.6%
구월동 10
 
3.6%
간석동 9
 
3.2%
서창동 7
 
2.5%
지하1층 6
 
2.2%
일부 4
 
1.4%
Other values (104) 111
39.9%
2023-12-12T17:53:25.556296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
18.0%
1 133
 
8.8%
동 105
 
6.9%
구 61
 
4.0%
시 52
 
3.4%
인 51
 
3.4%
천 50
 
3.3%
남 49
 
3.2%
광 49
 
3.2%
역 49
 
3.2%
Other values (104) 646
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 816
53.7%
Decimal Number 349
23.0%
Space Separator 274
 
18.0%
Dash Punctuation 36
 
2.4%
Other Punctuation 24
 
1.6%
Uppercase Letter 11
 
0.7%
Math Symbol 6
 
0.4%
Lowercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 105
 
12.9%
구 61
 
7.5%
시 52
 
6.4%
인 51
 
6.2%
천 50
 
6.1%
남 49
 
6.0%
광 49
 
6.0%
역 49
 
6.0%
층 38
 
4.7%
부 21
 
2.6%
Other values (81) 291
35.7%
Decimal Number
ValueCountFrequency (%)
1 133
38.1%
0 44
 
12.6%
2 31
 
8.9%
6 30
 
8.6%
4 23
 
6.6%
3 20
 
5.7%
7 19
 
5.4%
5 17
 
4.9%
8 16
 
4.6%
9 16
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 6
54.5%
D 1
 
9.1%
I 1
 
9.1%
A 1
 
9.1%
C 1
 
9.1%
N 1
 
9.1%
Space Separator
ValueCountFrequency (%)
274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Punctuation
ValueCountFrequency (%)
, 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 816
53.7%
Common 691
45.5%
Latin 12
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 105
 
12.9%
구 61
 
7.5%
시 52
 
6.4%
인 51
 
6.2%
천 50
 
6.1%
남 49
 
6.0%
광 49
 
6.0%
역 49
 
6.0%
층 38
 
4.7%
부 21
 
2.6%
Other values (81) 291
35.7%
Common
ValueCountFrequency (%)
274
39.7%
1 133
19.2%
0 44
 
6.4%
- 36
 
5.2%
2 31
 
4.5%
6 30
 
4.3%
, 24
 
3.5%
4 23
 
3.3%
3 20
 
2.9%
7 19
 
2.7%
Other values (6) 57
 
8.2%
Latin
ValueCountFrequency (%)
B 6
50.0%
b 1
 
8.3%
D 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
C 1
 
8.3%
N 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 816
53.7%
ASCII 703
46.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
274
39.0%
1 133
18.9%
0 44
 
6.3%
- 36
 
5.1%
2 31
 
4.4%
6 30
 
4.3%
, 24
 
3.4%
4 23
 
3.3%
3 20
 
2.8%
7 19
 
2.7%
Other values (13) 69
 
9.8%
Hangul
ValueCountFrequency (%)
동 105
 
12.9%
구 61
 
7.5%
시 52
 
6.4%
인 51
 
6.2%
천 50
 
6.1%
남 49
 
6.0%
광 49
 
6.0%
역 49
 
6.0%
층 38
 
4.7%
부 21
 
2.6%
Other values (81) 291
35.7%

소재지전화
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size524.0 B
2023-12-12T17:53:25.901783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters578
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

Unique48 ?
Unique (%)100.0%

Sample

1st row032-461-3417
2nd row032-460-6700
3rd row032-465-5933
4th row032-430-5821
5th row032-429-9511
ValueCountFrequency (%)
032-461-3417 1
 
2.1%
032-460-6700 1
 
2.1%
032-212-6022 1
 
2.1%
032-432-0033 1
 
2.1%
032-469-2500 1
 
2.1%
032-433-8803 1
 
2.1%
032-425-5559 1
 
2.1%
032-473-9600 1
 
2.1%
032-429-6627 1
 
2.1%
032-472-4950 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T17:53:26.385405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 100
17.3%
- 96
16.6%
3 78
13.5%
2 78
13.5%
4 53
9.2%
5 39
 
6.7%
1 29
 
5.0%
7 29
 
5.0%
6 26
 
4.5%
9 26
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 482
83.4%
Dash Punctuation 96
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 100
20.7%
3 78
16.2%
2 78
16.2%
4 53
11.0%
5 39
 
8.1%
1 29
 
6.0%
7 29
 
6.0%
6 26
 
5.4%
9 26
 
5.4%
8 24
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 100
17.3%
- 96
16.6%
3 78
13.5%
2 78
13.5%
4 53
9.2%
5 39
 
6.7%
1 29
 
5.0%
7 29
 
5.0%
6 26
 
4.5%
9 26
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 100
17.3%
- 96
16.6%
3 78
13.5%
2 78
13.5%
4 53
9.2%
5 39
 
6.7%
1 29
 
5.0%
7 29
 
5.0%
6 26
 
4.5%
9 26
 
4.5%

Interactions

2023-12-12T17:53:22.658146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:53:26.544249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)소재지전화
연번1.0000.9361.0001.0001.000
업소명0.9361.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.000
소재지전화1.0001.0001.0001.0001.000

Missing values

2023-12-12T17:53:22.825270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:53:22.960395image/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

연번업소명소재지(도로명)소재지(지번)소재지전화
01(주)지에스리테일인천광역시 남동구 만수로50번길 53 (만수동)인천광역시 남동구 만수동 18032-461-3417
12남동농협하나로마트인천광역시 남동구 장승로 28, 지하1층 (만수동)인천광역시 남동구 만수동 1014-1 지하1층일부032-460-6700
23즐거운마트인향점인천광역시 남동구 인주대로 670, 지하1층 104,105호 (구월동, 인향콤비타워)인천광역시 남동구 구월동 277 인향콤비타워 지하1층 104,105호032-465-5933
34주식회사 이랜드킴스클럽 인천점인천광역시 남동구 인하로 485 (구월동)인천광역시 남동구 구월동 1465-1032-430-5821
45심도유통인천광역시 남동구 용천로168번길 38 (간석동)인천광역시 남동구 간석동 224-548032-429-9511
56홈플러스(주)인천광역시 남동구 예술로 198, 지하2층 (구월동, 홈플러스구월점)인천광역시 남동구 구월동 1130 홈플러스구월점 지하2층032-428-2080
67홈플러스(주)간석점인천광역시 남동구 경원대로 971 (간석동)인천광역시 남동구 간석동 616-3032-870-8000
78진로할인마트인천광역시 남동구 구월로276번길 39 (구월동, 1층)인천광역시 남동구 구월동 1263-3 1층032-464-3891
89다드림할인마트인천광역시 남동구 백범로124번길 7 (만수동)인천광역시 남동구 만수동 40032-461-0917
910진로할인마트(주)인천광역시 남동구 담방로 45, 지하1층 (만수동)인천광역시 남동구 만수동 1020-2 지하1층032-461-7007
연번업소명소재지(도로명)소재지(지번)소재지전화
3940노브랜드 장승백이시장점인천광역시 남동구 인주대로888번길 27, 창대장터상가 지하층 B01A~B06호 (만수동)인천광역시 남동구 만수동 1082 창대장터상가 B01A~B06호032-473-8052
4041주)뉴미래로유통인천광역시 남동구 앵고개로 936, 1~3층 (논현동)인천광역시 남동구 논현동 672-1 1층~3층032-421-8987
4142행복드림마트인천광역시 남동구 독곡로 46, 1층 전부호 (서창동)인천광역시 남동구 서창동 559-8 1층032-472-2501
4243(주)논현빅마트인천광역시 남동구 청능대로718번길 31, 1층 전부호 (논현동)인천광역시 남동구 논현동 109-176 1 전부호032-446-9934
4344(주)리더스엠식자재인천광역시 남동구 논현로46번길 14, 리더스프라자 1층 105,106,107,108,109,110,111호 (논현동)인천광역시 남동구 논현동 637-1 리더스프라자 105,106,107,108,109,110,111호032-422-3568
4445홈세일마트인천광역시 남동구 방축로 488-3, 스카이빌딩 1층 전부호 (간석동)인천광역시 남동구 간석동 894 스카이빌딩 1층 전부032-426-9995
4546(주)리팡인천광역시 남동구 남동대로799번길 8, 신영구월지웰시티푸르지오 B동 지하1층 001호 (구월동)인천광역시 남동구 구월동 1608 신영구월지웰시티푸르지오,B동 지하1층 001호070-7777-4389
4647이조식자재마트인천광역시 남동구 소래역로46번길 31, 2층 일부, 3층 일부호 (논현동)인천광역시 남동구 논현동 673-3 2층 일부, 3층 일부032-423-8245
4748(주)이마트에브리데이 인천논현점인천광역시 남동구 앵고개로847번길 56, 미르프라자 1층 101호~106호 (논현동)인천광역시 남동구 논현동 744-2 미르프라자, 1층 101호~106호032-710-3317
4849남동공단할인마트인천광역시 남동구 은봉로 52, NIC지식산업센터 1층 101호~110호 (논현동)인천광역시 남동구 논현동 446-3 NIC지식산업센터 1층 101호~110호<NA>