Overview

Dataset statistics

Number of variables6
Number of observations76
Missing cells10
Missing cells (%)2.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory52.7 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구에 소재하고 있는 안경업소 현황입니다. 데이터 상세 내용은 영업소명, 도로명주소, 전화번호,위도,경도 등입니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15051495&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 10 (13.2%) missing valuesMissing
연번 has unique valuesUnique
안경업소명칭 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:19:45.357617
Analysis finished2024-03-18 03:19:48.034619
Duration2.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-03-18T12:19:48.097245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2024-03-18T12:19:48.224907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

안경업소명칭
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-03-18T12:19:48.471701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13
Mean length7.6842105
Min length3

Characters and Unicode

Total characters584
Distinct characters141
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row으뜸플러스안경 인천주안점
2nd row으뜸50안경인천주안점
3rd row새로안 안경 인천센터
4th row안경샵
5th row다보소안경
ValueCountFrequency (%)
주안점 5
 
4.9%
다비치안경 3
 
2.9%
안경 2
 
1.9%
싸군 2
 
1.9%
인하대역점 2
 
1.9%
안경창고 2
 
1.9%
오렌즈 2
 
1.9%
인하대점 2
 
1.9%
글라스 2
 
1.9%
비움안경원 1
 
1.0%
Other values (80) 80
77.7%
2024-03-18T12:19:48.810673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 75
 
12.8%
경 65
 
11.1%
27
 
4.6%
점 25
 
4.3%
인 18
 
3.1%
원 16
 
2.7%
리 15
 
2.6%
스 15
 
2.6%
이 10
 
1.7%
아 9
 
1.5%
Other values (131) 309
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 523
89.6%
Space Separator 27
 
4.6%
Decimal Number 14
 
2.4%
Uppercase Letter 12
 
2.1%
Open Punctuation 3
 
0.5%
Close Punctuation 3
 
0.5%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 75
 
14.3%
경 65
 
12.4%
점 25
 
4.8%
인 18
 
3.4%
원 16
 
3.1%
리 15
 
2.9%
스 15
 
2.9%
이 10
 
1.9%
아 9
 
1.7%
천 9
 
1.7%
Other values (114) 266
50.9%
Uppercase Letter
ValueCountFrequency (%)
S 4
33.3%
O 1
 
8.3%
E 1
 
8.3%
U 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
R 1
 
8.3%
G 1
 
8.3%
K 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
0 7
50.0%
1 4
28.6%
5 3
21.4%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 523
89.6%
Common 49
 
8.4%
Latin 12
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 75
 
14.3%
경 65
 
12.4%
점 25
 
4.8%
인 18
 
3.4%
원 16
 
3.1%
리 15
 
2.9%
스 15
 
2.9%
이 10
 
1.9%
아 9
 
1.7%
천 9
 
1.7%
Other values (114) 266
50.9%
Latin
ValueCountFrequency (%)
S 4
33.3%
O 1
 
8.3%
E 1
 
8.3%
U 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
R 1
 
8.3%
G 1
 
8.3%
K 1
 
8.3%
Common
ValueCountFrequency (%)
27
55.1%
0 7
 
14.3%
1 4
 
8.2%
5 3
 
6.1%
( 3
 
6.1%
) 3
 
6.1%
& 1
 
2.0%
· 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 523
89.6%
ASCII 60
 
10.3%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 75
 
14.3%
경 65
 
12.4%
점 25
 
4.8%
인 18
 
3.4%
원 16
 
3.1%
리 15
 
2.9%
스 15
 
2.9%
이 10
 
1.9%
아 9
 
1.7%
천 9
 
1.7%
Other values (114) 266
50.9%
ASCII
ValueCountFrequency (%)
27
45.0%
0 7
 
11.7%
S 4
 
6.7%
1 4
 
6.7%
5 3
 
5.0%
( 3
 
5.0%
) 3
 
5.0%
& 1
 
1.7%
O 1
 
1.7%
E 1
 
1.7%
Other values (6) 6
 
10.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2024-03-18T12:19:49.059566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length43
Mean length32.026316
Min length22

Characters and Unicode

Total characters2434
Distinct characters132
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

Unique76 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 미추홀대로 735, 3층 303호 (주안동)
2nd row인천광역시 미추홀구 인하로267번길 5, 402호 (주안동)
3rd row인천광역시 미추홀구 인하로 195, 성민빌딩 401호 (주안동)
4th row인천광역시 미추홀구 낙섬중로 129, 4동 115호 (용현동, 엘에이치미추홀3단지)
5th row인천광역시 미추홀구 경원대로 지하848, 석바위지하상가 지하1층 (주안동)
ValueCountFrequency (%)
인천광역시 76
 
15.9%
미추홀구 76
 
15.9%
주안동 32
 
6.7%
용현동 18
 
3.8%
1층 13
 
2.7%
인하로 11
 
2.3%
도화동 10
 
2.1%
주안로 7
 
1.5%
소성로 7
 
1.5%
미추홀대로 6
 
1.3%
Other values (164) 221
46.3%
2024-03-18T12:19:49.494344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
405
 
16.6%
인 101
 
4.1%
1 87
 
3.6%
홀 86
 
3.5%
동 86
 
3.5%
미 85
 
3.5%
추 84
 
3.5%
역 80
 
3.3%
천 79
 
3.2%
) 78
 
3.2%
Other values (122) 1263
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1460
60.0%
Space Separator 405
 
16.6%
Decimal Number 335
 
13.8%
Close Punctuation 78
 
3.2%
Open Punctuation 78
 
3.2%
Other Punctuation 62
 
2.5%
Dash Punctuation 13
 
0.5%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 101
 
6.9%
홀 86
 
5.9%
동 86
 
5.9%
미 85
 
5.8%
추 84
 
5.8%
역 80
 
5.5%
천 79
 
5.4%
광 77
 
5.3%
구 76
 
5.2%
로 76
 
5.2%
Other values (105) 630
43.2%
Decimal Number
ValueCountFrequency (%)
1 87
26.0%
3 48
14.3%
2 40
11.9%
0 31
 
9.3%
5 29
 
8.7%
8 25
 
7.5%
4 24
 
7.2%
7 23
 
6.9%
6 19
 
5.7%
9 9
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
405
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Other Punctuation
ValueCountFrequency (%)
, 62
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1460
60.0%
Common 971
39.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 101
 
6.9%
홀 86
 
5.9%
동 86
 
5.9%
미 85
 
5.8%
추 84
 
5.8%
역 80
 
5.5%
천 79
 
5.4%
광 77
 
5.3%
구 76
 
5.2%
로 76
 
5.2%
Other values (105) 630
43.2%
Common
ValueCountFrequency (%)
405
41.7%
1 87
 
9.0%
) 78
 
8.0%
( 78
 
8.0%
, 62
 
6.4%
3 48
 
4.9%
2 40
 
4.1%
0 31
 
3.2%
5 29
 
3.0%
8 25
 
2.6%
Other values (5) 88
 
9.1%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1460
60.0%
ASCII 974
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
405
41.6%
1 87
 
8.9%
) 78
 
8.0%
( 78
 
8.0%
, 62
 
6.4%
3 48
 
4.9%
2 40
 
4.1%
0 31
 
3.2%
5 29
 
3.0%
8 25
 
2.6%
Other values (7) 91
 
9.3%
Hangul
ValueCountFrequency (%)
인 101
 
6.9%
홀 86
 
5.9%
동 86
 
5.9%
미 85
 
5.8%
추 84
 
5.8%
역 80
 
5.5%
천 79
 
5.4%
광 77
 
5.3%
구 76
 
5.2%
로 76
 
5.2%
Other values (105) 630
43.2%

전화번호
Text

MISSING 

Distinct66
Distinct (%)100.0%
Missing10
Missing (%)13.2%
Memory size740.0 B
2024-03-18T12:19:49.773747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.045455
Min length12

Characters and Unicode

Total characters795
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

Unique66 ?
Unique (%)100.0%

Sample

1st row032-873-3386
2nd row032-891-6065
3rd row032-887-6009
4th row032-883-0988
5th row032-873-8393
ValueCountFrequency (%)
032-818-1002 1
 
1.5%
032-873-3386 1
 
1.5%
032-874-7001 1
 
1.5%
032-423-1001 1
 
1.5%
032-430-1732 1
 
1.5%
032-432-1988 1
 
1.5%
032-881-0104 1
 
1.5%
032-874-4433 1
 
1.5%
032-423-2002 1
 
1.5%
032-865-9009 1
 
1.5%
Other values (56) 56
84.8%
2024-03-18T12:19:50.111916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 133
16.7%
- 132
16.6%
2 115
14.5%
3 104
13.1%
8 94
11.8%
4 44
 
5.5%
7 42
 
5.3%
6 37
 
4.7%
1 35
 
4.4%
5 34
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 663
83.4%
Dash Punctuation 132
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 133
20.1%
2 115
17.3%
3 104
15.7%
8 94
14.2%
4 44
 
6.6%
7 42
 
6.3%
6 37
 
5.6%
1 35
 
5.3%
5 34
 
5.1%
9 25
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 795
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 133
16.7%
- 132
16.6%
2 115
14.5%
3 104
13.1%
8 94
11.8%
4 44
 
5.5%
7 42
 
5.3%
6 37
 
4.7%
1 35
 
4.4%
5 34
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 795
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 133
16.7%
- 132
16.6%
2 115
14.5%
3 104
13.1%
8 94
11.8%
4 44
 
5.5%
7 42
 
5.3%
6 37
 
4.7%
1 35
 
4.4%
5 34
 
4.3%

위도
Real number (ℝ)

Distinct70
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.455881
Minimum37.437092
Maximum37.472116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-03-18T12:19:50.282741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437092
5-th percentile37.440251
Q137.448381
median37.457031
Q337.464405
95-th percentile37.468621
Maximum37.472116
Range0.035023691
Interquartile range (IQR)0.016024022

Descriptive statistics

Standard deviation0.0091772314
Coefficient of variation (CV)0.00024501443
Kurtosis-1.0504767
Mean37.455881
Median Absolute Deviation (MAD)0.0082488134
Skewness-0.12691435
Sum2846.647
Variance8.4221576 × 10-5
MonotonicityNot monotonic
2024-03-18T12:19:50.449490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4644045461847 4
 
5.3%
37.4589746510133 2
 
2.6%
37.4481462350889 2
 
2.6%
37.4695495878716 2
 
2.6%
37.4632280573302 1
 
1.3%
37.4678456894948 1
 
1.3%
37.4668503410778 1
 
1.3%
37.4518913149614 1
 
1.3%
37.4370923452481 1
 
1.3%
37.4425062298688 1
 
1.3%
Other values (60) 60
78.9%
ValueCountFrequency (%)
37.4370923452481 1
1.3%
37.4389510464694 1
1.3%
37.4392651949563 1
1.3%
37.4400537896378 1
1.3%
37.4403173081938 1
1.3%
37.4419413046391 1
1.3%
37.4423446873032 1
1.3%
37.4425062298688 1
1.3%
37.444005922286 1
1.3%
37.4446628896094 1
1.3%
ValueCountFrequency (%)
37.4721160366582 1
1.3%
37.4710417909431 1
1.3%
37.4695495878716 2
2.6%
37.4683110845652 1
1.3%
37.4682145357921 1
1.3%
37.4678456894948 1
1.3%
37.4673629153048 1
1.3%
37.4672276356604 1
1.3%
37.4671690819783 1
1.3%
37.4668503410778 1
1.3%

경도
Real number (ℝ)

Distinct70
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66876
Minimum126.63367
Maximum126.70152
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2024-03-18T12:19:50.657923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63367
5-th percentile126.64222
Q1126.6569
median126.67237
Q3126.68016
95-th percentile126.68915
Maximum126.70152
Range0.06784729
Interquartile range (IQR)0.023266684

Descriptive statistics

Standard deviation0.015255901
Coefficient of variation (CV)0.00012043933
Kurtosis-0.69142709
Mean126.66876
Median Absolute Deviation (MAD)0.0097987158
Skewness-0.34592934
Sum9626.8259
Variance0.00023274251
MonotonicityNot monotonic
2024-03-18T12:19:50.773562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.680161836654 4
 
5.3%
126.675841436288 2
 
2.6%
126.649120152916 2
 
2.6%
126.664538818236 2
 
2.6%
126.680079473078 1
 
1.3%
126.654869587968 1
 
1.3%
126.682537675015 1
 
1.3%
126.654822882178 1
 
1.3%
126.686289633887 1
 
1.3%
126.701518656221 1
 
1.3%
Other values (60) 60
78.9%
ValueCountFrequency (%)
126.633671366499 1
1.3%
126.63723633123 1
1.3%
126.637670142902 1
1.3%
126.640903617026 1
1.3%
126.642662172692 1
1.3%
126.643508202679 1
1.3%
126.649120152916 2
2.6%
126.649493929208 1
1.3%
126.649560548819 1
1.3%
126.650849261836 1
1.3%
ValueCountFrequency (%)
126.701518656221 1
1.3%
126.69435471622 1
1.3%
126.690272409054 1
1.3%
126.689203312634 1
1.3%
126.689133951466 1
1.3%
126.689082096811 1
1.3%
126.68800161674 1
1.3%
126.686289633887 1
1.3%
126.6861601939 1
1.3%
126.683159742044 1
1.3%

Interactions

2024-03-18T12:19:47.640717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.113894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.408762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.726657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.238159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.488478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.809784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.326073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:19:47.564204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:19:50.850380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번안경업소명칭도로명주소전화번호위도경도
연번1.0001.0001.0001.0000.0000.000
안경업소명칭1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.0001.0001.0001.0001.0000.810
경도0.0001.0001.0001.0000.8101.000
2024-03-18T12:19:50.929955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.064-0.012
위도-0.0641.0000.007
경도-0.0120.0071.000

Missing values

2024-03-18T12:19:47.909724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:19:47.994091image/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

연번안경업소명칭도로명주소전화번호위도경도
01으뜸플러스안경 인천주안점인천광역시 미추홀구 미추홀대로 735, 3층 303호 (주안동)032-873-338637.463228126.680079
12으뜸50안경인천주안점인천광역시 미추홀구 인하로267번길 5, 402호 (주안동)<NA>37.448434126.677812
23새로안 안경 인천센터인천광역시 미추홀구 인하로 195, 성민빌딩 401호 (주안동)<NA>37.448945126.669672
34안경샵인천광역시 미추홀구 낙섬중로 129, 4동 115호 (용현동, 엘에이치미추홀3단지)032-891-606537.45826126.642662
45다보소안경인천광역시 미추홀구 경원대로 지하848, 석바위지하상가 지하1층 (주안동)<NA>37.457884126.690272
56으뜸플러스 인하대역점인천광역시 미추홀구 독배로 311, 비젼프라자 306호 (용현동)032-887-600937.448146126.64912
67오렌즈앨리웨이인천점인천광역시 미추홀구 숙골로88번길 12, 110동 1-56호 (도화동, 더샵 인천스카이타워 1단지)<NA>37.46955126.664539
78글라스이슈(GRASS ISSUE)인천광역시 미추홀구 숙골로 61, 1층 일부층 (도화동)032-883-098837.468215126.664941
89다비치안경 인천신기시장사거리점인천광역시 미추홀구 미추홀대로 573, 1층일부층 (주안동)032-873-839337.448531126.679311
910글라스오토인천광역시 미추홀구 경인로 233, 지하1층일부층 (도화동)070-7514-697937.464399126.66845
연번안경업소명칭도로명주소전화번호위도경도
6667그린안경·콘택트인천광역시 미추홀구 길파로 10 (주안동)032-873-800837.466584126.679575
6768멀리본안경인천광역시 미추홀구 석정로202번길 12-18 (도화동)032-888-218837.467363126.657559
6869화니본안경인천광역시 미추홀구 인하로 300 (주안동)032-437-444837.447785126.681337
6970크리스탈안경원인천광역시 미추홀구 석정로 148 (숭의동)032-885-525437.468311126.651715
7071밝은눈안경콘택트인천광역시 미추홀구 낙섬중로 35 (용현동)032-888-111737.451525126.637236
7172태광당안경원인천광역시 미추홀구 독배로 417-1 (용현동)032-883-522937.456782126.649494
7273라르고안경인천광역시 미추홀구 수봉로 7, 1층 (숭의동, 제물포아파트)032-882-650237.46547126.656476
7374신용사안경인천광역시 미추홀구 신기길 5 (주안동)032-863-074937.4479126.676732
7475씨앤씨안경원인천광역시 미추홀구 인하로77번길 22 (용현동)032-873-300237.452055126.657495
7576에덴안경원인천광역시 미추홀구 길파로 15 (주안동)032-866-586137.467169126.679288