Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells8
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구 가전제품 판매점에 대한 데이터입니다. 업소명, 지번주소, 도로명주소, 전화번호 등의 항목을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15088440/fileData.do

Alerts

전화번호 has 7 (7.0%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:41:35.460729
Analysis finished2023-12-12 07:41:36.855854
Duration1.4 second
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
2023-12-12T16:41:36.926428image/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
2023-12-12T16:41:37.067044image/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%

상호명
Text

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T16:41:37.278413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length11.98
Min length4

Characters and Unicode

Total characters1198
Distinct characters221
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 rowSK텔레콤 PS&M 석바위시장점
2nd row롯데하이마트 주안점
3rd row소녀폰 인천주안역점
4th row인천중고폰매입판매 중고폰나라 주안역점
5th row삼성스토어 도화
ValueCountFrequency (%)
sk텔레콤 13
 
5.9%
lg유플러스 9
 
4.1%
kt 9
 
4.1%
주안점 7
 
3.2%
주안역점 6
 
2.7%
인천점 5
 
2.3%
삼성스토어 4
 
1.8%
롯데백화점 4
 
1.8%
ps&m 4
 
1.8%
롯데 3
 
1.4%
Other values (133) 158
71.2%
2023-12-12T16:41:37.696118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
10.2%
점 75
 
6.3%
리 33
 
2.8%
스 30
 
2.5%
주 29
 
2.4%
안 29
 
2.4%
인 27
 
2.3%
K 26
 
2.2%
천 23
 
1.9%
S 18
 
1.5%
Other values (211) 786
65.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 954
79.6%
Space Separator 122
 
10.2%
Uppercase Letter 109
 
9.1%
Decimal Number 6
 
0.5%
Other Punctuation 5
 
0.4%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 75
 
7.9%
리 33
 
3.5%
스 30
 
3.1%
주 29
 
3.0%
안 29
 
3.0%
인 27
 
2.8%
천 23
 
2.4%
대 17
 
1.8%
역 17
 
1.8%
데 16
 
1.7%
Other values (185) 658
69.0%
Uppercase Letter
ValueCountFrequency (%)
K 26
23.9%
S 18
16.5%
G 14
12.8%
L 14
12.8%
T 14
12.8%
M 6
 
5.5%
P 4
 
3.7%
A 3
 
2.8%
C 2
 
1.8%
O 1
 
0.9%
Other values (7) 7
 
6.4%
Decimal Number
ValueCountFrequency (%)
8 2
33.3%
5 1
16.7%
2 1
16.7%
1 1
16.7%
4 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
u 1
50.0%
v 1
50.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 954
79.6%
Common 133
 
11.1%
Latin 111
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 75
 
7.9%
리 33
 
3.5%
스 30
 
3.1%
주 29
 
3.0%
안 29
 
3.0%
인 27
 
2.8%
천 23
 
2.4%
대 17
 
1.8%
역 17
 
1.8%
데 16
 
1.7%
Other values (185) 658
69.0%
Latin
ValueCountFrequency (%)
K 26
23.4%
S 18
16.2%
G 14
12.6%
L 14
12.6%
T 14
12.6%
M 6
 
5.4%
P 4
 
3.6%
A 3
 
2.7%
C 2
 
1.8%
O 1
 
0.9%
Other values (9) 9
 
8.1%
Common
ValueCountFrequency (%)
122
91.7%
& 5
 
3.8%
8 2
 
1.5%
5 1
 
0.8%
2 1
 
0.8%
1 1
 
0.8%
4 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 954
79.6%
ASCII 244
 
20.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
50.0%
K 26
 
10.7%
S 18
 
7.4%
G 14
 
5.7%
L 14
 
5.7%
T 14
 
5.7%
M 6
 
2.5%
& 5
 
2.0%
P 4
 
1.6%
A 3
 
1.2%
Other values (16) 18
 
7.4%
Hangul
ValueCountFrequency (%)
점 75
 
7.9%
리 33
 
3.5%
스 30
 
3.1%
주 29
 
3.0%
안 29
 
3.0%
인 27
 
2.8%
천 23
 
2.4%
대 17
 
1.8%
역 17
 
1.8%
데 16
 
1.7%
Other values (185) 658
69.0%

지번주소
Text

Distinct97
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2023-12-12T16:41:38.118638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37
Mean length25.88
Min length14

Characters and Unicode

Total characters2588
Distinct characters149
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

Unique95 ?
Unique (%)95.0%

Sample

1st row인천광역시 미추홀구 주안동 999-5 1층 SK텔레콤 PS&M 석바위시장점
2nd row인천광역시 미추홀구 주안동 1531-2 주하이마트
3rd row인천광역시 미추홀구 주안동 136-1 경향프라자 1층 102호
4th row인천광역시 미추홀구 주안동 141-1 3층 중고폰나라 주안역점
5th row인천광역시 미추홀구 도화동 534-5
ValueCountFrequency (%)
인천광역시 100
19.1%
미추홀구 100
19.1%
주안동 49
 
9.4%
1층 27
 
5.2%
용현동 14
 
2.7%
도화동 13
 
2.5%
숭의동 10
 
1.9%
관교동 8
 
1.5%
15 8
 
1.5%
5층 5
 
1.0%
Other values (162) 190
36.3%
2023-12-12T16:41:38.674475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
424
 
16.4%
1 168
 
6.5%
인 105
 
4.1%
동 105
 
4.1%
시 104
 
4.0%
역 103
 
4.0%
천 103
 
4.0%
미 102
 
3.9%
광 100
 
3.9%
추 100
 
3.9%
Other values (139) 1174
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1503
58.1%
Decimal Number 538
 
20.8%
Space Separator 424
 
16.4%
Dash Punctuation 85
 
3.3%
Uppercase Letter 25
 
1.0%
Other Punctuation 5
 
0.2%
Lowercase Letter 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 105
 
7.0%
동 105
 
7.0%
시 104
 
6.9%
역 103
 
6.9%
천 103
 
6.9%
미 102
 
6.8%
광 100
 
6.7%
추 100
 
6.7%
홀 100
 
6.7%
구 100
 
6.7%
Other values (107) 481
32.0%
Uppercase Letter
ValueCountFrequency (%)
K 6
24.0%
T 5
20.0%
S 4
16.0%
B 2
 
8.0%
A 1
 
4.0%
O 1
 
4.0%
M 1
 
4.0%
P 1
 
4.0%
W 1
 
4.0%
D 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 168
31.2%
2 71
13.2%
5 54
 
10.0%
6 47
 
8.7%
3 46
 
8.6%
4 44
 
8.2%
0 41
 
7.6%
8 27
 
5.0%
7 22
 
4.1%
9 18
 
3.3%
Lowercase Letter
ValueCountFrequency (%)
b 1
33.3%
t 1
33.3%
k 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
424
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 85
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1503
58.1%
Common 1057
40.8%
Latin 28
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 105
 
7.0%
동 105
 
7.0%
시 104
 
6.9%
역 103
 
6.9%
천 103
 
6.9%
미 102
 
6.8%
광 100
 
6.7%
추 100
 
6.7%
홀 100
 
6.7%
구 100
 
6.7%
Other values (107) 481
32.0%
Common
ValueCountFrequency (%)
424
40.1%
1 168
 
15.9%
- 85
 
8.0%
2 71
 
6.7%
5 54
 
5.1%
6 47
 
4.4%
3 46
 
4.4%
4 44
 
4.2%
0 41
 
3.9%
8 27
 
2.6%
Other values (7) 50
 
4.7%
Latin
ValueCountFrequency (%)
K 6
21.4%
T 5
17.9%
S 4
14.3%
B 2
 
7.1%
A 1
 
3.6%
O 1
 
3.6%
M 1
 
3.6%
P 1
 
3.6%
W 1
 
3.6%
D 1
 
3.6%
Other values (5) 5
17.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1503
58.1%
ASCII 1085
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
424
39.1%
1 168
 
15.5%
- 85
 
7.8%
2 71
 
6.5%
5 54
 
5.0%
6 47
 
4.3%
3 46
 
4.2%
4 44
 
4.1%
0 41
 
3.8%
8 27
 
2.5%
Other values (22) 78
 
7.2%
Hangul
ValueCountFrequency (%)
인 105
 
7.0%
동 105
 
7.0%
시 104
 
6.9%
역 103
 
6.9%
천 103
 
6.9%
미 102
 
6.8%
광 100
 
6.7%
추 100
 
6.7%
홀 100
 
6.7%
구 100
 
6.7%
Other values (107) 481
32.0%

도로명주소
Text

Distinct96
Distinct (%)97.0%
Missing1
Missing (%)1.0%
Memory size932.0 B
2023-12-12T16:41:38.981791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length25.626263
Min length16

Characters and Unicode

Total characters2537
Distinct characters176
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

Unique94 ?
Unique (%)94.9%

Sample

1st row인천광역시 미추홀구 경원대로 861 1층 SK텔레콤 PS&M 석바위시장점
2nd row인천광역시 미추홀구 경원대로 757 (주)하이마트
3rd row인천광역시 미추홀구 주안로 108 경향프라자 1층 102호
4th row인천광역시 미추홀구 주안로 100 3층 중고폰나라 주안역점
5th row인천광역시 미추홀구 경인로 262 모락스트레이딩(주)
ValueCountFrequency (%)
인천광역시 99
18.4%
미추홀구 99
18.4%
1층 30
 
5.6%
주안로 14
 
2.6%
인주대로 12
 
2.2%
경원대로 10
 
1.9%
경인로 8
 
1.5%
연남로 8
 
1.5%
35 8
 
1.5%
미추홀대로 6
 
1.1%
Other values (188) 243
45.3%
2023-12-12T16:41:39.477158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
438
 
17.3%
인 131
 
5.2%
미 109
 
4.3%
홀 109
 
4.3%
추 107
 
4.2%
천 103
 
4.1%
시 103
 
4.1%
역 102
 
4.0%
로 100
 
3.9%
1 100
 
3.9%
Other values (166) 1135
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1628
64.2%
Space Separator 438
 
17.3%
Decimal Number 400
 
15.8%
Uppercase Letter 25
 
1.0%
Open Punctuation 12
 
0.5%
Close Punctuation 12
 
0.5%
Dash Punctuation 10
 
0.4%
Other Punctuation 6
 
0.2%
Lowercase Letter 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 131
 
8.0%
미 109
 
6.7%
홀 109
 
6.7%
추 107
 
6.6%
천 103
 
6.3%
시 103
 
6.3%
역 102
 
6.3%
로 100
 
6.1%
구 100
 
6.1%
광 99
 
6.1%
Other values (134) 565
34.7%
Uppercase Letter
ValueCountFrequency (%)
K 6
24.0%
T 5
20.0%
S 4
16.0%
B 2
 
8.0%
W 1
 
4.0%
L 1
 
4.0%
R 1
 
4.0%
O 1
 
4.0%
P 1
 
4.0%
M 1
 
4.0%
Other values (2) 2
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 100
25.0%
3 48
12.0%
2 45
11.2%
8 36
 
9.0%
0 36
 
9.0%
7 34
 
8.5%
6 30
 
7.5%
4 28
 
7.0%
5 27
 
6.8%
9 16
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
k 2
40.0%
t 2
40.0%
b 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
438
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1628
64.2%
Common 879
34.6%
Latin 30
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 131
 
8.0%
미 109
 
6.7%
홀 109
 
6.7%
추 107
 
6.6%
천 103
 
6.3%
시 103
 
6.3%
역 102
 
6.3%
로 100
 
6.1%
구 100
 
6.1%
광 99
 
6.1%
Other values (134) 565
34.7%
Common
ValueCountFrequency (%)
438
49.8%
1 100
 
11.4%
3 48
 
5.5%
2 45
 
5.1%
8 36
 
4.1%
0 36
 
4.1%
7 34
 
3.9%
6 30
 
3.4%
4 28
 
3.2%
5 27
 
3.1%
Other values (7) 57
 
6.5%
Latin
ValueCountFrequency (%)
K 6
20.0%
T 5
16.7%
S 4
13.3%
k 2
 
6.7%
t 2
 
6.7%
B 2
 
6.7%
W 1
 
3.3%
L 1
 
3.3%
R 1
 
3.3%
O 1
 
3.3%
Other values (5) 5
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1628
64.2%
ASCII 909
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
438
48.2%
1 100
 
11.0%
3 48
 
5.3%
2 45
 
5.0%
8 36
 
4.0%
0 36
 
4.0%
7 34
 
3.7%
6 30
 
3.3%
4 28
 
3.1%
5 27
 
3.0%
Other values (22) 87
 
9.6%
Hangul
ValueCountFrequency (%)
인 131
 
8.0%
미 109
 
6.7%
홀 109
 
6.7%
추 107
 
6.6%
천 103
 
6.3%
시 103
 
6.3%
역 102
 
6.3%
로 100
 
6.1%
구 100
 
6.1%
광 99
 
6.1%
Other values (134) 565
34.7%

전화번호
Text

MISSING 

Distinct93
Distinct (%)100.0%
Missing7
Missing (%)7.0%
Memory size932.0 B
2023-12-12T16:41:39.778332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length14
Mean length13
Min length3

Characters and Unicode

Total characters1209
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

Unique93 ?
Unique (%)100.0%

Sample

1st row0507-1457-5886
2nd row032-428-2021
3rd row0507-1456-0176
4th row1599-3774
5th row0507-1497-9022
ValueCountFrequency (%)
032-428-0332 1
 
1.1%
0507-1446-3447 1
 
1.1%
1688-0479 1
 
1.1%
0507-1434-0217 1
 
1.1%
032-421-3010 1
 
1.1%
070-8202-0145 1
 
1.1%
0507-1371-8957 1
 
1.1%
0507-1425-2036 1
 
1.1%
0507-1306-8665 1
 
1.1%
0507-1382-6011 1
 
1.1%
Other values (83) 83
89.2%
2023-12-12T16:41:40.183280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 233
19.3%
- 182
15.1%
2 115
9.5%
1 115
9.5%
7 100
8.3%
3 99
8.2%
5 98
8.1%
4 87
 
7.2%
6 74
 
6.1%
8 65
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1027
84.9%
Dash Punctuation 182
 
15.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 233
22.7%
2 115
11.2%
1 115
11.2%
7 100
9.7%
3 99
9.6%
5 98
9.5%
4 87
 
8.5%
6 74
 
7.2%
8 65
 
6.3%
9 41
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1209
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 233
19.3%
- 182
15.1%
2 115
9.5%
1 115
9.5%
7 100
8.3%
3 99
8.2%
5 98
8.1%
4 87
 
7.2%
6 74
 
6.1%
8 65
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1209
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 233
19.3%
- 182
15.1%
2 115
9.5%
1 115
9.5%
7 100
8.3%
3 99
8.2%
5 98
8.1%
4 87
 
7.2%
6 74
 
6.1%
8 65
 
5.4%

Interactions

2023-12-12T16:41:36.550046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:41:40.286875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0001.0000.7990.7921.000
상호명1.0001.0001.0001.0001.000
지번주소0.7991.0001.0001.0001.000
도로명주소0.7921.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2023-12-12T16:41:36.646393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:41:36.730429image/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.
2023-12-12T16:41:36.809598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호명지번주소도로명주소전화번호
01SK텔레콤 PS&M 석바위시장점인천광역시 미추홀구 주안동 999-5 1층 SK텔레콤 PS&M 석바위시장점인천광역시 미추홀구 경원대로 861 1층 SK텔레콤 PS&M 석바위시장점0507-1457-5886
12롯데하이마트 주안점인천광역시 미추홀구 주안동 1531-2 주하이마트인천광역시 미추홀구 경원대로 757 (주)하이마트032-428-2021
23소녀폰 인천주안역점인천광역시 미추홀구 주안동 136-1 경향프라자 1층 102호인천광역시 미추홀구 주안로 108 경향프라자 1층 102호0507-1456-0176
34인천중고폰매입판매 중고폰나라 주안역점인천광역시 미추홀구 주안동 141-1 3층 중고폰나라 주안역점인천광역시 미추홀구 주안로 100 3층 중고폰나라 주안역점1599-3774
45삼성스토어 도화인천광역시 미추홀구 도화동 534-5인천광역시 미추홀구 경인로 262 모락스트레이딩(주)0507-1497-9022
56윌리스 롯데백화점 인천점인천광역시 미추홀구 관교동 15 B1층인천광역시 미추홀구 연남로 35 B1층032-242-2710
67KT 탑네트웍스 주안역점인천광역시 미추홀구 주안동 227-35인천광역시 미추홀구 미추홀대로 7410507-1348-5014
78다이슨 롯데백화점 인천점인천광역시 미추홀구 관교동 15 5층인천광역시 미추홀구 연남로 35 5층032-242-2595
89SK텔레콤 창도 용현점인천광역시 미추홀구 용현동 611-22 1층인천광역시 미추홀구 낙섬중로 60 1층0507-1441-0029
910삼성스토어 주안인천광역시 미추홀구 주안동 1457-4인천광역시 미추홀구 인주대로 384032-876-3443
연번상호명지번주소도로명주소전화번호
9091종합가전알뜰매장인천광역시 미추홀구 용현동 104-6인천광역시 미추홀구 인주대로 247032-862-0813
9192제빙기수리업소용냉장고수리인천광역시 미추홀구 주안동 1472-1 3층 301호인천광역시 미추홀구 미추홀대로614번길 17 3층 301호0507-1441-4991
9293인스타배터리인천광역시 미추홀구 용현동 501-1 102호인천광역시 미추홀구 인주대로 74 102호0507-1474-1780
9394중고가전가구알뜰매장인천광역시 미추홀구 용현동 463-31인천광역시 미추홀구 인주대로 930507-1422-6005
9495휴대폰성지 패밀리모바일 주안점인천광역시 미추홀구 주안동 1628 센트레빌아파트 상가동 105호인천광역시 미추홀구 염전로 414 센트레빌아파트 상가동 105호0507-1488-3406
9596아이티케어인천광역시 미추홀구 주안동 136-1 2층203호인천광역시 미추홀구 주안로 108 2층203호<NA>
9697Luv피씨인천광역시 미추홀구 주안동 22-5 1층 1호인천광역시 미추홀구 석정로440번길 20<NA>
9798TWORLD 명동중앙대리점 주안사거리직영점인천광역시 미추홀구 도화동 444-1인천광역시 미추홀구 경인로326번길 2 1층0507-1353-1039
9899청사단텔레콤인천광역시 미추홀구 학익동 732-3 101호인천광역시 미추홀구 소성로 88 101호0507-1434-9300
99100LG유플러스 용현동 숭의점인천광역시 미추홀구 용현동 501-1인천광역시 미추홀구 인주대로 74 (용현동)032-889-3566