Overview

Dataset statistics

Number of variables6
Number of observations121
Missing cells53
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory52.1 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구 옥외광고업 현황에 대한 데이터로 업소명, 전화번호, 도로명주소,위도,경도 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15061012/fileData.do

Alerts

전화번호 has 53 (43.8%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:18:09.971295
Analysis finished2023-12-12 21:18:11.330962
Duration1.36 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61
Minimum1
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T06:18:11.427846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7
Q131
median61
Q391
95-th percentile115
Maximum121
Range120
Interquartile range (IQR)60

Descriptive statistics

Standard deviation35.073732
Coefficient of variation (CV)0.57497921
Kurtosis-1.2
Mean61
Median Absolute Deviation (MAD)30
Skewness0
Sum7381
Variance1230.1667
MonotonicityStrictly increasing
2023-12-13T06:18:11.916346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
92 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
86 1
 
0.8%
85 1
 
0.8%
84 1
 
0.8%
83 1
 
0.8%
Other values (111) 111
91.7%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%
116 1
0.8%
115 1
0.8%
114 1
0.8%
113 1
0.8%
112 1
0.8%

업소명
Text

UNIQUE 

Distinct121
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T06:18:12.247902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.892562
Min length2

Characters and Unicode

Total characters713
Distinct characters204
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)100.0%

Sample

1st row미르기획
2nd row디자인달래
3rd row대륙컴퍼니
4th row디자인라온
5th row원광고기획
ValueCountFrequency (%)
주식회사 3
 
2.2%
디자인 2
 
1.5%
아가페 1
 
0.7%
해가 1
 
0.7%
자유기획 1
 
0.7%
윤디자인 1
 
0.7%
태양광고 1
 
0.7%
크린시티 1
 
0.7%
그린광고기획 1
 
0.7%
종합광고 1
 
0.7%
Other values (124) 124
90.5%
2023-12-13T06:18:12.719407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 36
 
5.0%
인 33
 
4.6%
고 31
 
4.3%
기 31
 
4.3%
획 27
 
3.8%
디 25
 
3.5%
자 25
 
3.5%
주 20
 
2.8%
) 17
 
2.4%
( 17
 
2.4%
Other values (194) 451
63.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 628
88.1%
Uppercase Letter 19
 
2.7%
Close Punctuation 17
 
2.4%
Open Punctuation 17
 
2.4%
Space Separator 16
 
2.2%
Decimal Number 10
 
1.4%
Lowercase Letter 3
 
0.4%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 36
 
5.7%
인 33
 
5.3%
고 31
 
4.9%
기 31
 
4.9%
획 27
 
4.3%
디 25
 
4.0%
자 25
 
4.0%
주 20
 
3.2%
이 16
 
2.5%
드 14
 
2.2%
Other values (165) 370
58.9%
Uppercase Letter
ValueCountFrequency (%)
E 2
10.5%
W 2
10.5%
P 2
10.5%
R 2
10.5%
L 2
10.5%
A 2
10.5%
K 1
 
5.3%
O 1
 
5.3%
N 1
 
5.3%
D 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
2 3
30.0%
3 2
20.0%
0 1
 
10.0%
4 1
 
10.0%
1 1
 
10.0%
6 1
 
10.0%
5 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
p 1
33.3%
m 1
33.3%
j 1
33.3%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
. 1
33.3%
/ 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 628
88.1%
Common 63
 
8.8%
Latin 22
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 36
 
5.7%
인 33
 
5.3%
고 31
 
4.9%
기 31
 
4.9%
획 27
 
4.3%
디 25
 
4.0%
자 25
 
4.0%
주 20
 
3.2%
이 16
 
2.5%
드 14
 
2.2%
Other values (165) 370
58.9%
Latin
ValueCountFrequency (%)
E 2
 
9.1%
W 2
 
9.1%
P 2
 
9.1%
R 2
 
9.1%
L 2
 
9.1%
A 2
 
9.1%
K 1
 
4.5%
O 1
 
4.5%
p 1
 
4.5%
m 1
 
4.5%
Other values (6) 6
27.3%
Common
ValueCountFrequency (%)
) 17
27.0%
( 17
27.0%
16
25.4%
2 3
 
4.8%
3 2
 
3.2%
0 1
 
1.6%
4 1
 
1.6%
& 1
 
1.6%
1 1
 
1.6%
. 1
 
1.6%
Other values (3) 3
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 628
88.1%
ASCII 85
 
11.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 36
 
5.7%
인 33
 
5.3%
고 31
 
4.9%
기 31
 
4.9%
획 27
 
4.3%
디 25
 
4.0%
자 25
 
4.0%
주 20
 
3.2%
이 16
 
2.5%
드 14
 
2.2%
Other values (165) 370
58.9%
ASCII
ValueCountFrequency (%)
) 17
20.0%
( 17
20.0%
16
18.8%
2 3
 
3.5%
E 2
 
2.4%
W 2
 
2.4%
3 2
 
2.4%
P 2
 
2.4%
R 2
 
2.4%
L 2
 
2.4%
Other values (19) 20
23.5%

전화번호
Text

MISSING 

Distinct68
Distinct (%)100.0%
Missing53
Missing (%)43.8%
Memory size1.1 KiB
2023-12-13T06:18:12.987961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.970588
Min length9

Characters and Unicode

Total characters814
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 row032-881-0181
2nd row032-464-4425
3rd row032-884-9819
4th row032-874-0401
5th row032-432-2211
ValueCountFrequency (%)
032-463-6060 1
 
1.5%
032-426-1223 1
 
1.5%
032-885-7482 1
 
1.5%
032-868-1098 1
 
1.5%
032-862-0171 1
 
1.5%
032-777-8839 1
 
1.5%
032-424-3079 1
 
1.5%
032-434-0990 1
 
1.5%
032-862-0367 1
 
1.5%
032-882-9979 1
 
1.5%
Other values (58) 58
85.3%
2023-12-13T06:18:13.445296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 135
16.6%
2 113
13.9%
0 111
13.6%
3 104
12.8%
8 79
9.7%
4 68
8.4%
7 49
 
6.0%
1 43
 
5.3%
9 41
 
5.0%
6 39
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 679
83.4%
Dash Punctuation 135
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 113
16.6%
0 111
16.3%
3 104
15.3%
8 79
11.6%
4 68
10.0%
7 49
7.2%
1 43
 
6.3%
9 41
 
6.0%
6 39
 
5.7%
5 32
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 135
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 135
16.6%
2 113
13.9%
0 111
13.6%
3 104
12.8%
8 79
9.7%
4 68
8.4%
7 49
 
6.0%
1 43
 
5.3%
9 41
 
5.0%
6 39
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 135
16.6%
2 113
13.9%
0 111
13.6%
3 104
12.8%
8 79
9.7%
4 68
8.4%
7 49
 
6.0%
1 43
 
5.3%
9 41
 
5.0%
6 39
 
4.8%

도로명주소
Text

Distinct119
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-13T06:18:13.745739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length29.198347
Min length22

Characters and Unicode

Total characters3533
Distinct characters151
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

Unique117 ?
Unique (%)96.7%

Sample

1st row인천광역시 미추홀구 석정로 180 (도화동)
2nd row인천광역시 미추홀구 석바위로 40 (주안동)
3rd row인천광역시 미추홀구 숙골로 58 (도화동)
4th row인천광역시 미추홀구 매소홀로 262, 15층 15017호 (학익동)
5th row인천광역시 미추홀구 장고개로 67 (도화동)
ValueCountFrequency (%)
인천광역시 121
17.6%
미추홀구 121
17.6%
주안동 51
 
7.4%
도화동 29
 
4.2%
숭의동 14
 
2.0%
석정로 14
 
2.0%
용현동 13
 
1.9%
1층 8
 
1.2%
2층 8
 
1.2%
학익동 8
 
1.2%
Other values (224) 299
43.6%
2023-12-13T06:18:14.208194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
 
16.1%
인 148
 
4.2%
홀 136
 
3.8%
미 133
 
3.8%
추 132
 
3.7%
동 129
 
3.7%
구 126
 
3.6%
시 125
 
3.5%
천 123
 
3.5%
광 122
 
3.5%
Other values (141) 1791
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2136
60.5%
Space Separator 568
 
16.1%
Decimal Number 498
 
14.1%
Open Punctuation 120
 
3.4%
Close Punctuation 120
 
3.4%
Other Punctuation 57
 
1.6%
Dash Punctuation 21
 
0.6%
Uppercase Letter 7
 
0.2%
Lowercase Letter 4
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 148
 
6.9%
홀 136
 
6.4%
미 133
 
6.2%
추 132
 
6.2%
동 129
 
6.0%
구 126
 
5.9%
시 125
 
5.9%
천 123
 
5.8%
광 122
 
5.7%
역 121
 
5.7%
Other values (116) 841
39.4%
Decimal Number
ValueCountFrequency (%)
1 94
18.9%
2 93
18.7%
3 54
10.8%
6 47
9.4%
0 45
9.0%
4 43
8.6%
5 38
7.6%
8 36
 
7.2%
9 25
 
5.0%
7 23
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 2
28.6%
T 2
28.6%
K 1
14.3%
J 1
14.3%
B 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
w 1
25.0%
e 1
25.0%
r 1
25.0%
Space Separator
ValueCountFrequency (%)
568
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Other Punctuation
ValueCountFrequency (%)
, 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2136
60.5%
Common 1386
39.2%
Latin 11
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 148
 
6.9%
홀 136
 
6.4%
미 133
 
6.2%
추 132
 
6.2%
동 129
 
6.0%
구 126
 
5.9%
시 125
 
5.9%
천 123
 
5.8%
광 122
 
5.7%
역 121
 
5.7%
Other values (116) 841
39.4%
Common
ValueCountFrequency (%)
568
41.0%
( 120
 
8.7%
) 120
 
8.7%
1 94
 
6.8%
2 93
 
6.7%
, 57
 
4.1%
3 54
 
3.9%
6 47
 
3.4%
0 45
 
3.2%
4 43
 
3.1%
Other values (6) 145
 
10.5%
Latin
ValueCountFrequency (%)
A 2
18.2%
T 2
18.2%
K 1
9.1%
J 1
9.1%
o 1
9.1%
w 1
9.1%
e 1
9.1%
r 1
9.1%
B 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2136
60.5%
ASCII 1397
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
40.7%
( 120
 
8.6%
) 120
 
8.6%
1 94
 
6.7%
2 93
 
6.7%
, 57
 
4.1%
3 54
 
3.9%
6 47
 
3.4%
0 45
 
3.2%
4 43
 
3.1%
Other values (15) 156
 
11.2%
Hangul
ValueCountFrequency (%)
인 148
 
6.9%
홀 136
 
6.4%
미 133
 
6.2%
추 132
 
6.2%
동 129
 
6.0%
구 126
 
5.9%
시 125
 
5.9%
천 123
 
5.8%
광 122
 
5.7%
역 121
 
5.7%
Other values (116) 841
39.4%

위도
Real number (ℝ)

Distinct114
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.45837
Minimum37.437781
Maximum37.481392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T06:18:14.408297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437781
5-th percentile37.439492
Q137.451055
median37.458292
Q337.467554
95-th percentile37.474402
Maximum37.481392
Range0.04361129
Interquartile range (IQR)0.0164991

Descriptive statistics

Standard deviation0.010743732
Coefficient of variation (CV)0.00028681793
Kurtosis-0.81144096
Mean37.45837
Median Absolute Deviation (MAD)0.00860933
Skewness-0.034215953
Sum4532.4628
Variance0.00011542778
MonotonicityNot monotonic
2023-12-13T06:18:14.589446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.47440152 5
 
4.1%
37.46724157 2
 
1.7%
37.43949224 2
 
1.7%
37.46796765 2
 
1.7%
37.46779243 1
 
0.8%
37.44320287 1
 
0.8%
37.4567545 1
 
0.8%
37.46069822 1
 
0.8%
37.45536858 1
 
0.8%
37.45384925 1
 
0.8%
Other values (104) 104
86.0%
ValueCountFrequency (%)
37.43778111 1
0.8%
37.43791833 1
0.8%
37.43827543 1
0.8%
37.43873986 1
0.8%
37.43943186 1
0.8%
37.43949224 2
1.7%
37.43965492 1
0.8%
37.4413266 1
0.8%
37.44190393 1
0.8%
37.4420016 1
0.8%
ValueCountFrequency (%)
37.4813924 1
 
0.8%
37.48002963 1
 
0.8%
37.47989102 1
 
0.8%
37.47580001 1
 
0.8%
37.47528749 1
 
0.8%
37.47478615 1
 
0.8%
37.47440152 5
4.1%
37.47393413 1
 
0.8%
37.47305037 1
 
0.8%
37.47270038 1
 
0.8%

경도
Real number (ℝ)

Distinct114
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66959
Minimum126.63718
Maximum126.69726
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-13T06:18:14.746220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63718
5-th percentile126.64466
Q1126.6576
median126.67032
Q3126.68032
95-th percentile126.69165
Maximum126.69726
Range0.0600766
Interquartile range (IQR)0.0227198

Descriptive statistics

Standard deviation0.014605124
Coefficient of variation (CV)0.00011530095
Kurtosis-0.83445787
Mean126.66959
Median Absolute Deviation (MAD)0.0112625
Skewness-0.22831313
Sum15327.02
Variance0.00021330965
MonotonicityNot monotonic
2023-12-13T06:18:14.912200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.677486 5
 
4.1%
126.6801373 2
 
1.7%
126.6717439 2
 
1.7%
126.6612093 2
 
1.7%
126.655204 1
 
0.8%
126.6798865 1
 
0.8%
126.6927477 1
 
0.8%
126.6838685 1
 
0.8%
126.6898562 1
 
0.8%
126.6893928 1
 
0.8%
Other values (104) 104
86.0%
ValueCountFrequency (%)
126.637181 1
0.8%
126.6404071 1
0.8%
126.640477 1
0.8%
126.6425156 1
0.8%
126.6429961 1
0.8%
126.6443491 1
0.8%
126.6446576 1
0.8%
126.6470209 1
0.8%
126.6470654 1
0.8%
126.6471934 1
0.8%
ValueCountFrequency (%)
126.6972576 1
0.8%
126.6946022 1
0.8%
126.6944014 1
0.8%
126.6927477 1
0.8%
126.6925874 1
0.8%
126.692389 1
0.8%
126.6916509 1
0.8%
126.6916003 1
0.8%
126.6903822 1
0.8%
126.6898562 1
0.8%

Interactions

2023-12-13T06:18:10.827893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.265489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.548577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.922902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.353888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.648217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:11.007972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.446578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:10.735078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:18:15.012302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번전화번호위도경도
연번1.0001.0000.0000.000
전화번호1.0001.0001.0001.000
위도0.0001.0001.0000.689
경도0.0001.0000.6891.000
2023-12-13T06:18:15.111205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.010-0.045
위도0.0101.000-0.301
경도-0.045-0.3011.000

Missing values

2023-12-13T06:18:11.184294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:18:11.284089image/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

연번업소명전화번호도로명주소위도경도
01미르기획032-881-0181인천광역시 미추홀구 석정로 180 (도화동)37.467792126.655204
12디자인달래<NA>인천광역시 미추홀구 석바위로 40 (주안동)37.460542126.677256
23대륙컴퍼니<NA>인천광역시 미추홀구 숙골로 58 (도화동)37.467937126.66575
34디자인라온<NA>인천광역시 미추홀구 매소홀로 262, 15층 15017호 (학익동)37.444259126.652474
45원광고기획032-464-4425인천광역시 미추홀구 장고개로 67 (도화동)37.473934126.668488
56플럼디자인<NA>인천광역시 미추홀구 매소홀로 446 (학익동)37.439492126.671744
67로뎀광고기획<NA>인천광역시 미추홀구 인주대로174번길 12 (용현동)37.455178126.656704
78(주)베스라이트<NA>인천광역시 미추홀구 방축로 312, 주안제이타워2차 409호 (주안동)37.474402126.677486
89(주)미추디자인032-884-9819인천광역시 미추홀구 장천로48번길 22 (숭의동)37.459503126.650281
910A/S광고기획032-874-0401인천광역시 미추홀구 인하로 203 (주안동)37.448834126.670703
연번업소명전화번호도로명주소위도경도
111112산호기획<NA>인천광역시 미추홀구 새천년로 8-1 (숭의동)37.469318126.648563
112113수림디자인032-435-0598인천광역시 미추홀구 석정로279번길 3 (도화동)37.4685126.666481
113114한일광고032-431-1091인천광역시 미추홀구 경인로 464 (주안동)37.458292126.691651
114115옹슬기획<NA>인천광역시 미추홀구 제일로40번길 34 (도화동, KT 주안지사)37.457188126.674086
115116명신기획032-881-8290인천광역시 미추홀구 경인로42번길 56-12 (숭의동)37.461753126.648679
116117매직애드&24시바로퀵1566-9820인천광역시 미추홀구 주안로 29 (도화동, 동원아파트)37.464344126.672848
117118남일광고<NA>인천광역시 미추홀구 한나루로 461 (용현동)37.448127126.667537
118119태진지에스 에이<NA>인천광역시 미추홀구 석정로 54-1 (숭의동)37.464237126.644658
119120아루미LED간판전광판032-874-8338인천광역시 미추홀구 한나루로 517-1 (주안동)37.453137126.667917
120121NEW스타간판<NA>인천광역시 미추홀구 한나루로 491 (용현동)37.450794126.667019