Overview

Dataset statistics

Number of variables6
Number of observations154
Missing cells21
Missing cells (%)2.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.8 KiB
Average record size in memory51.9 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구의 휴대폰 판매점에 대한 데이터로 상호명, 도로명주소, 전화번호, 좌표값 등의 정보를 제공하고 있습니다.
Author인천광역시
URLhttps://www.incheon.go.kr/data/DATA010201/view?docId=15087081

Alerts

전화번호 has 21 (13.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 08:36:58.409552
Analysis finished2024-01-28 08:36:59.611205
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct154
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.5
Minimum1
Maximum154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T17:36:59.671009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.65
Q139.25
median77.5
Q3115.75
95-th percentile146.35
Maximum154
Range153
Interquartile range (IQR)76.5

Descriptive statistics

Standard deviation44.600075
Coefficient of variation (CV)0.57548484
Kurtosis-1.2
Mean77.5
Median Absolute Deviation (MAD)38.5
Skewness0
Sum11935
Variance1989.1667
MonotonicityStrictly increasing
2024-01-28T17:36:59.789896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
107 1
 
0.6%
100 1
 
0.6%
101 1
 
0.6%
102 1
 
0.6%
103 1
 
0.6%
104 1
 
0.6%
105 1
 
0.6%
106 1
 
0.6%
108 1
 
0.6%
Other values (144) 144
93.5%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%
147 1
0.6%
146 1
0.6%
145 1
0.6%

상호명
Text

Distinct153
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-28T17:37:00.039431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length10.038961
Min length1

Characters and Unicode

Total characters1546
Distinct characters231
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

Unique152 ?
Unique (%)98.7%

Sample

1st rowAkisWorld
2nd rowAM휴대폰연합 인천용현점
3rd rowAM휴대폰연합 인천주안점
4th rowe편한모바일
5th rowKT 누리정보통신학산사거리점
ValueCountFrequency (%)
lg유플러스 18
 
6.2%
kt 13
 
4.5%
sk텔레콤 13
 
4.5%
주안역점 6
 
2.1%
tworld 5
 
1.7%
핸드폰아울렛 4
 
1.4%
용현점 4
 
1.4%
주안점 4
 
1.4%
학익점 3
 
1.0%
숭의점 3
 
1.0%
Other values (182) 216
74.7%
2024-01-28T17:37:00.380790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
 
8.7%
점 97
 
6.3%
주 39
 
2.5%
바 34
 
2.2%
스 34
 
2.2%
안 34
 
2.2%
신 33
 
2.1%
레 32
 
2.1%
폰 31
 
2.0%
콤 31
 
2.0%
Other values (221) 1046
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1221
79.0%
Uppercase Letter 147
 
9.5%
Space Separator 135
 
8.7%
Lowercase Letter 22
 
1.4%
Decimal Number 19
 
1.2%
Connector Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 97
 
7.9%
주 39
 
3.2%
바 34
 
2.8%
스 34
 
2.8%
안 34
 
2.8%
신 33
 
2.7%
레 32
 
2.6%
폰 31
 
2.5%
콤 31
 
2.5%
모 30
 
2.5%
Other values (181) 826
67.6%
Uppercase Letter
ValueCountFrequency (%)
K 30
20.4%
T 25
17.0%
L 21
14.3%
G 19
12.9%
S 16
10.9%
A 6
 
4.1%
C 4
 
2.7%
O 4
 
2.7%
W 4
 
2.7%
M 4
 
2.7%
Other values (9) 14
9.5%
Lowercase Letter
ValueCountFrequency (%)
l 5
22.7%
d 3
13.6%
r 3
13.6%
o 3
13.6%
w 2
 
9.1%
e 2
 
9.1%
h 1
 
4.5%
s 1
 
4.5%
i 1
 
4.5%
k 1
 
4.5%
Decimal Number
ValueCountFrequency (%)
5 3
15.8%
3 3
15.8%
2 3
15.8%
1 3
15.8%
4 2
10.5%
7 2
10.5%
8 1
 
5.3%
6 1
 
5.3%
9 1
 
5.3%
Space Separator
ValueCountFrequency (%)
135
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1221
79.0%
Latin 169
 
10.9%
Common 156
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 97
 
7.9%
주 39
 
3.2%
바 34
 
2.8%
스 34
 
2.8%
안 34
 
2.8%
신 33
 
2.7%
레 32
 
2.6%
폰 31
 
2.5%
콤 31
 
2.5%
모 30
 
2.5%
Other values (181) 826
67.6%
Latin
ValueCountFrequency (%)
K 30
17.8%
T 25
14.8%
L 21
12.4%
G 19
11.2%
S 16
9.5%
A 6
 
3.6%
l 5
 
3.0%
C 4
 
2.4%
O 4
 
2.4%
W 4
 
2.4%
Other values (19) 35
20.7%
Common
ValueCountFrequency (%)
135
86.5%
5 3
 
1.9%
3 3
 
1.9%
2 3
 
1.9%
1 3
 
1.9%
_ 2
 
1.3%
4 2
 
1.3%
7 2
 
1.3%
8 1
 
0.6%
6 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1221
79.0%
ASCII 325
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
41.5%
K 30
 
9.2%
T 25
 
7.7%
L 21
 
6.5%
G 19
 
5.8%
S 16
 
4.9%
A 6
 
1.8%
l 5
 
1.5%
C 4
 
1.2%
O 4
 
1.2%
Other values (30) 60
18.5%
Hangul
ValueCountFrequency (%)
점 97
 
7.9%
주 39
 
3.2%
바 34
 
2.8%
스 34
 
2.8%
안 34
 
2.8%
신 33
 
2.7%
레 32
 
2.6%
폰 31
 
2.5%
콤 31
 
2.5%
모 30
 
2.5%
Other values (181) 826
67.6%

도로명주소
Text

Distinct150
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-28T17:37:00.658499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length36
Mean length25.116883
Min length16

Characters and Unicode

Total characters3868
Distinct characters193
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)94.8%

Sample

1st row인천광역시 미추홀구 토금남로 55
2nd row인천광역시 미추홀구 낙섬서로 36 1층 106호
3rd row인천광역시 미추홀구 주안로 86 우신주안빌딩 203호
4th row인천광역시 미추홀구 숙골로112번길 2
5th row인천광역시 미추홀구 매소홀로 361
ValueCountFrequency (%)
인천광역시 154
19.1%
미추홀구 154
19.1%
1층 46
 
5.7%
주안로 15
 
1.9%
미추홀대로 13
 
1.6%
경인로 10
 
1.2%
인하로 10
 
1.2%
매소홀로 9
 
1.1%
경원대로 8
 
1.0%
86 8
 
1.0%
Other values (263) 381
47.2%
2024-01-28T17:37:01.056894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
654
 
16.9%
인 189
 
4.9%
홀 178
 
4.6%
미 168
 
4.3%
추 167
 
4.3%
1 165
 
4.3%
시 159
 
4.1%
역 158
 
4.1%
천 157
 
4.1%
광 154
 
4.0%
Other values (183) 1719
44.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2484
64.2%
Space Separator 654
 
16.9%
Decimal Number 620
 
16.0%
Uppercase Letter 45
 
1.2%
Dash Punctuation 22
 
0.6%
Open Punctuation 13
 
0.3%
Close Punctuation 13
 
0.3%
Lowercase Letter 10
 
0.3%
Other Punctuation 5
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 189
 
7.6%
홀 178
 
7.2%
미 168
 
6.8%
추 167
 
6.7%
시 159
 
6.4%
역 158
 
6.4%
천 157
 
6.3%
광 154
 
6.2%
구 154
 
6.2%
로 150
 
6.0%
Other values (146) 850
34.2%
Uppercase Letter
ValueCountFrequency (%)
K 10
22.2%
T 9
20.0%
S 5
11.1%
L 3
 
6.7%
A 3
 
6.7%
C 3
 
6.7%
B 2
 
4.4%
G 2
 
4.4%
Y 1
 
2.2%
W 1
 
2.2%
Other values (6) 6
13.3%
Decimal Number
ValueCountFrequency (%)
1 165
26.6%
2 79
12.7%
3 77
12.4%
6 62
 
10.0%
4 55
 
8.9%
8 45
 
7.3%
0 43
 
6.9%
5 40
 
6.5%
7 33
 
5.3%
9 21
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
k 4
40.0%
t 4
40.0%
a 1
 
10.0%
b 1
 
10.0%
Space Separator
ValueCountFrequency (%)
654
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2484
64.2%
Common 1329
34.4%
Latin 55
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 189
 
7.6%
홀 178
 
7.2%
미 168
 
6.8%
추 167
 
6.7%
시 159
 
6.4%
역 158
 
6.4%
천 157
 
6.3%
광 154
 
6.2%
구 154
 
6.2%
로 150
 
6.0%
Other values (146) 850
34.2%
Latin
ValueCountFrequency (%)
K 10
18.2%
T 9
16.4%
S 5
9.1%
k 4
 
7.3%
t 4
 
7.3%
L 3
 
5.5%
A 3
 
5.5%
C 3
 
5.5%
B 2
 
3.6%
G 2
 
3.6%
Other values (10) 10
18.2%
Common
ValueCountFrequency (%)
654
49.2%
1 165
 
12.4%
2 79
 
5.9%
3 77
 
5.8%
6 62
 
4.7%
4 55
 
4.1%
8 45
 
3.4%
0 43
 
3.2%
5 40
 
3.0%
7 33
 
2.5%
Other values (7) 76
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2484
64.2%
ASCII 1384
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
654
47.3%
1 165
 
11.9%
2 79
 
5.7%
3 77
 
5.6%
6 62
 
4.5%
4 55
 
4.0%
8 45
 
3.3%
0 43
 
3.1%
5 40
 
2.9%
7 33
 
2.4%
Other values (27) 131
 
9.5%
Hangul
ValueCountFrequency (%)
인 189
 
7.6%
홀 178
 
7.2%
미 168
 
6.8%
추 167
 
6.7%
시 159
 
6.4%
역 158
 
6.4%
천 157
 
6.3%
광 154
 
6.2%
구 154
 
6.2%
로 150
 
6.0%
Other values (146) 850
34.2%

전화번호
Text

MISSING 

Distinct133
Distinct (%)100.0%
Missing21
Missing (%)13.6%
Memory size1.3 KiB
2024-01-28T17:37:01.270219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.360902
Min length9

Characters and Unicode

Total characters1644
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

Unique133 ?
Unique (%)100.0%

Sample

1st row032-891-9944
2nd row0507-1375-0914
3rd row0507-1371-8957
4th row032-872-5040
5th row032-865-9900
ValueCountFrequency (%)
032-434-2016 1
 
0.8%
0507-1437-1171 1
 
0.8%
032-765-1015 1
 
0.8%
0507-1380-2999 1
 
0.8%
0507-1433-8690 1
 
0.8%
032-425-4336 1
 
0.8%
032-861-0036 1
 
0.8%
032-888-1012 1
 
0.8%
032-887-4560 1
 
0.8%
032-888-5821 1
 
0.8%
Other values (123) 123
92.5%
2024-01-28T17:37:01.618264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 298
18.1%
- 262
15.9%
3 175
10.6%
2 174
10.6%
8 146
8.9%
1 129
7.8%
7 125
7.6%
4 107
 
6.5%
6 88
 
5.4%
5 81
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1382
84.1%
Dash Punctuation 262
 
15.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 298
21.6%
3 175
12.7%
2 174
12.6%
8 146
10.6%
1 129
9.3%
7 125
9.0%
4 107
 
7.7%
6 88
 
6.4%
5 81
 
5.9%
9 59
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 262
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1644
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 298
18.1%
- 262
15.9%
3 175
10.6%
2 174
10.6%
8 146
8.9%
1 129
7.8%
7 125
7.6%
4 107
 
6.5%
6 88
 
5.4%
5 81
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1644
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 298
18.1%
- 262
15.9%
3 175
10.6%
2 174
10.6%
8 146
8.9%
1 129
7.8%
7 125
7.6%
4 107
 
6.5%
6 88
 
5.4%
5 81
 
4.9%

위도
Real number (ℝ)

Distinct131
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.45616
Minimum37.436545
Maximum37.477789
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T17:37:01.751583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436545
5-th percentile37.439539
Q137.448413
median37.458097
Q337.463642
95-th percentile37.469679
Maximum37.477789
Range0.04124387
Interquartile range (IQR)0.015228632

Descriptive statistics

Standard deviation0.0093157904
Coefficient of variation (CV)0.00024871184
Kurtosis-0.712663
Mean37.45616
Median Absolute Deviation (MAD)0.00644822
Skewness-0.29043755
Sum5768.2487
Variance8.6783952 × 10-5
MonotonicityNot monotonic
2024-01-28T17:37:01.869480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.46385022 8
 
5.2%
37.46129119 3
 
1.9%
37.4414509 2
 
1.3%
37.46358598 2
 
1.3%
37.45883746 2
 
1.3%
37.46357787 2
 
1.3%
37.46954959 2
 
1.3%
37.46300627 2
 
1.3%
37.46348129 2
 
1.3%
37.45766153 2
 
1.3%
Other values (121) 127
82.5%
ValueCountFrequency (%)
37.43654516 1
0.6%
37.43726653 1
0.6%
37.43758886 1
0.6%
37.43760258 1
0.6%
37.43762726 1
0.6%
37.4376644 1
0.6%
37.43803884 1
0.6%
37.43934765 1
0.6%
37.43964158 1
0.6%
37.43975877 1
0.6%
ValueCountFrequency (%)
37.47778903 1
0.6%
37.47564362 1
0.6%
37.47164327 2
1.3%
37.47047277 2
1.3%
37.4701339 1
0.6%
37.46991797 1
0.6%
37.46954959 2
1.3%
37.4685031 1
0.6%
37.46719973 1
0.6%
37.46707784 1
0.6%

경도
Real number (ℝ)

Distinct131
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66869
Minimum126.63448
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-28T17:37:01.994109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63448
5-th percentile126.63804
Q1126.65421
median126.67541
Q3126.68059
95-th percentile126.69492
Maximum126.70152
Range0.0670374
Interquartile range (IQR)0.026386825

Descriptive statistics

Standard deviation0.017877089
Coefficient of variation (CV)0.00014113266
Kurtosis-1.0589044
Mean126.66869
Median Absolute Deviation (MAD)0.0130846
Skewness-0.32034108
Sum19506.978
Variance0.0003195903
MonotonicityNot monotonic
2024-01-28T17:37:02.129332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6792217 8
 
5.2%
126.680592 3
 
1.9%
126.6619763 2
 
1.3%
126.6800959 2
 
1.3%
126.6781946 2
 
1.3%
126.6947749 2
 
1.3%
126.6645388 2
 
1.3%
126.6952992 2
 
1.3%
126.6805632 2
 
1.3%
126.6497325 2
 
1.3%
Other values (121) 127
82.5%
ValueCountFrequency (%)
126.6344813 1
0.6%
126.635584 1
0.6%
126.6356716 1
0.6%
126.6366052 1
0.6%
126.6370286 1
0.6%
126.6371097 1
0.6%
126.6371354 1
0.6%
126.6378064 1
0.6%
126.6381696 1
0.6%
126.6381984 1
0.6%
ValueCountFrequency (%)
126.7015187 1
0.6%
126.6985048 1
0.6%
126.6966793 1
0.6%
126.6962602 1
0.6%
126.6952992 2
1.3%
126.6952461 1
0.6%
126.6951842 1
0.6%
126.6947749 2
1.3%
126.6944531 1
0.6%
126.6918124 1
0.6%

Interactions

2024-01-28T17:36:59.223605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:58.682367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:58.966171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:59.304610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:58.773373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:59.086248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:59.384392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:58.870008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T17:36:59.148428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T17:37:02.221187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.0000.000
위도0.0001.0000.857
경도0.0000.8571.000
2024-01-28T17:37:02.299364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.1240.054
위도-0.1241.0000.050
경도0.0540.0501.000

Missing values

2024-01-28T17:36:59.493448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T17:36:59.577955image/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

연번상호명도로명주소전화번호위도경도
01AkisWorld인천광역시 미추홀구 토금남로 55032-891-994437.450604126.638699
12AM휴대폰연합 인천용현점인천광역시 미추홀구 낙섬서로 36 1층 106호0507-1375-091437.452583126.635584
23AM휴대폰연합 인천주안점인천광역시 미추홀구 주안로 86 우신주안빌딩 203호0507-1371-895737.46385126.679222
34e편한모바일인천광역시 미추홀구 숙골로112번길 2032-872-504037.471643126.662359
45KT 누리정보통신학산사거리점인천광역시 미추홀구 매소홀로 361032-865-990037.441157126.662288
56KT 불꽃통신 주안역점인천광역시 미추홀구 석정로 392 1층 kt032-876-160037.4668126.679119
67KT 석바위사거리점인천광역시 미추홀구 경인로 436 1층 kt032-468-555937.457714126.688545
78KT 송림 숭의점인천광역시 미추홀구 독배로 434 1층 101호032-891-901037.458343126.64934
89KT 위스토리 주안역점인천광역시 미추홀구 미추홀대로 742 1층0507-1314-701137.463576126.68058
910KT 젠틀 인하대역점인천광역시 미추홀구 용정공원로 33 근린생활시설 A-4동 1층 KT대리점032-886-517237.452015126.645063
연번상호명도로명주소전화번호위도경도
144145폰다모아인천광역시 미추홀구 독배로 442-11899-017337.459139126.648879
145146폰마트 도화점인천광역시 미추홀구 연송로 49<NA>37.477789126.656051
146147한마음통신인천광역시 미추홀구 석산로 36032-433-970837.462037126.69626
147148핸드폰아울렛인천광역시 미추홀구 소성로350번길 2 휴대폰아울렛<NA>37.437267126.685888
148149핸드폰아울렛인천광역시 미추홀구 경인로 27 핸드폰아울렛 숭의점0507-1312-394037.463698126.64607
149150핸드폰아울렛 도화점인천광역시 미추홀구 경인로 312 1층032-861-666137.459515126.674773
150151핸드폰아울렛 학익점인천광역시 미추홀구 매소홀로 284 핸드폰아울렛032-872-518837.443553126.653842
151152핸드폰아울렛용현본점인천광역시 미추홀구 인하로 131032-437-088037.449731126.662772
152153행복폰 주안본점인천광역시 미추홀구 주안로 113 덕진빌딩 302호032-503-790337.464257126.682234
153154휴대폰할인매장폰도리 9호점인천광역시 미추홀구 인하로 236070-7867-353537.44818126.674167