Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells19
Missing cells (%)10.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory55.3 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구의 동물판매업소 현황에 대한 데이터로 상호명, 도로명주소, 전화번호 등의 항목을 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086371&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 17 (54.8%) missing valuesMissing
위도 has 1 (3.2%) missing valuesMissing
경도 has 1 (3.2%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:30:44.187118
Analysis finished2024-01-28 11:30:45.309372
Duration1.12 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T20:30:45.355482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2024-01-28T20:30:45.452485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

상호명
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T20:30:45.634058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length7.4193548
Min length2

Characters and Unicode

Total characters230
Distinct characters103
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row개팔자 ~ 참
2nd row아트애견
3rd row로얄애견
4th row둥지애견
5th row토토 애견
ValueCountFrequency (%)
인천점 3
 
5.6%
펫 2
 
3.7%
안심분양센터 2
 
3.7%
강아지 2
 
3.7%
오독 2
 
3.7%
어서오개 1
 
1.9%
펫마을 1
 
1.9%
오월펫 1
 
1.9%
한울타리 1
 
1.9%
강아지친구 1
 
1.9%
Other values (38) 38
70.4%
2024-01-28T20:30:45.922390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
10.0%
아 10
 
4.3%
펫 9
 
3.9%
지 7
 
3.0%
양 7
 
3.0%
애 6
 
2.6%
견 6
 
2.6%
오 6
 
2.6%
인 6
 
2.6%
분 5
 
2.2%
Other values (93) 145
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
80.0%
Space Separator 23
 
10.0%
Lowercase Letter 10
 
4.3%
Open Punctuation 3
 
1.3%
Close Punctuation 3
 
1.3%
Other Punctuation 3
 
1.3%
Decimal Number 2
 
0.9%
Uppercase Letter 1
 
0.4%
Math Symbol 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 10
 
5.4%
펫 9
 
4.9%
지 7
 
3.8%
양 7
 
3.8%
애 6
 
3.3%
견 6
 
3.3%
오 6
 
3.3%
인 6
 
3.3%
분 5
 
2.7%
강 5
 
2.7%
Other values (74) 117
63.6%
Lowercase Letter
ValueCountFrequency (%)
g 2
20.0%
e 1
10.0%
i 1
10.0%
o 1
10.0%
d 1
10.0%
s 1
10.0%
k 1
10.0%
r 1
10.0%
a 1
10.0%
Other Punctuation
ValueCountFrequency (%)
# 1
33.3%
, 1
33.3%
' 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
80.0%
Common 35
 
15.2%
Latin 11
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 10
 
5.4%
펫 9
 
4.9%
지 7
 
3.8%
양 7
 
3.8%
애 6
 
3.3%
견 6
 
3.3%
오 6
 
3.3%
인 6
 
3.3%
분 5
 
2.7%
강 5
 
2.7%
Other values (74) 117
63.6%
Latin
ValueCountFrequency (%)
g 2
18.2%
P 1
9.1%
e 1
9.1%
i 1
9.1%
o 1
9.1%
d 1
9.1%
s 1
9.1%
k 1
9.1%
r 1
9.1%
a 1
9.1%
Common
ValueCountFrequency (%)
23
65.7%
( 3
 
8.6%
) 3
 
8.6%
# 1
 
2.9%
4 1
 
2.9%
2 1
 
2.9%
, 1
 
2.9%
~ 1
 
2.9%
' 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
80.0%
ASCII 46
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
50.0%
( 3
 
6.5%
) 3
 
6.5%
g 2
 
4.3%
# 1
 
2.2%
4 1
 
2.2%
P 1
 
2.2%
2 1
 
2.2%
, 1
 
2.2%
e 1
 
2.2%
Other values (9) 9
 
19.6%
Hangul
ValueCountFrequency (%)
아 10
 
5.4%
펫 9
 
4.9%
지 7
 
3.8%
양 7
 
3.8%
애 6
 
3.3%
견 6
 
3.3%
오 6
 
3.3%
인 6
 
3.3%
분 5
 
2.7%
강 5
 
2.7%
Other values (74) 117
63.6%

도로명주소
Text

Distinct30
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size380.0 B
2024-01-28T20:30:46.138443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length29.677419
Min length22

Characters and Unicode

Total characters920
Distinct characters105
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

Unique29 ?
Unique (%)93.5%

Sample

1st row인천광역시 미추홀구 소성로 305 (문학동)
2nd row인천광역시 미추홀구 한나루로 414 (학익동)
3rd row인천광역시 미추홀구 독배로 415 (용현동)
4th row인천광역시 미추홀구 인하로164번길 3 (용현동)
5th row인천광역시 미추홀구 제일로 42 (도화동)
ValueCountFrequency (%)
인천광역시 31
17.4%
미추홀구 31
17.4%
용현동 7
 
3.9%
주안동 7
 
3.9%
1층 6
 
3.4%
문학동 5
 
2.8%
도화동 5
 
2.8%
소성로 4
 
2.2%
숭의동 4
 
2.2%
148 2
 
1.1%
Other values (68) 76
42.7%
2024-01-28T20:30:46.438644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
16.0%
인 39
 
4.2%
시 33
 
3.6%
미 32
 
3.5%
추 32
 
3.5%
홀 32
 
3.5%
구 32
 
3.5%
( 31
 
3.4%
천 31
 
3.4%
) 31
 
3.4%
Other values (95) 480
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 558
60.7%
Space Separator 147
 
16.0%
Decimal Number 130
 
14.1%
Open Punctuation 31
 
3.4%
Close Punctuation 31
 
3.4%
Other Punctuation 18
 
2.0%
Dash Punctuation 4
 
0.4%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 39
 
7.0%
시 33
 
5.9%
미 32
 
5.7%
추 32
 
5.7%
홀 32
 
5.7%
구 32
 
5.7%
천 31
 
5.6%
동 31
 
5.6%
역 31
 
5.6%
광 31
 
5.6%
Other values (79) 234
41.9%
Decimal Number
ValueCountFrequency (%)
1 31
23.8%
2 22
16.9%
4 16
12.3%
0 13
10.0%
8 13
10.0%
3 11
 
8.5%
5 10
 
7.7%
6 8
 
6.2%
7 4
 
3.1%
9 2
 
1.5%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 558
60.7%
Common 361
39.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 39
 
7.0%
시 33
 
5.9%
미 32
 
5.7%
추 32
 
5.7%
홀 32
 
5.7%
구 32
 
5.7%
천 31
 
5.6%
동 31
 
5.6%
역 31
 
5.6%
광 31
 
5.6%
Other values (79) 234
41.9%
Common
ValueCountFrequency (%)
147
40.7%
( 31
 
8.6%
) 31
 
8.6%
1 31
 
8.6%
2 22
 
6.1%
, 18
 
5.0%
4 16
 
4.4%
0 13
 
3.6%
8 13
 
3.6%
3 11
 
3.0%
Other values (5) 28
 
7.8%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 558
60.7%
ASCII 362
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
40.6%
( 31
 
8.6%
) 31
 
8.6%
1 31
 
8.6%
2 22
 
6.1%
, 18
 
5.0%
4 16
 
4.4%
0 13
 
3.6%
8 13
 
3.6%
3 11
 
3.0%
Other values (6) 29
 
8.0%
Hangul
ValueCountFrequency (%)
인 39
 
7.0%
시 33
 
5.9%
미 32
 
5.7%
추 32
 
5.7%
홀 32
 
5.7%
구 32
 
5.7%
천 31
 
5.6%
동 31
 
5.6%
역 31
 
5.6%
광 31
 
5.6%
Other values (79) 234
41.9%

전화번호
Text

MISSING 

Distinct14
Distinct (%)100.0%
Missing17
Missing (%)54.8%
Memory size380.0 B
2024-01-28T20:30:46.589915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters169
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

Unique14 ?
Unique (%)100.0%

Sample

1st row032-433-0444
2nd row032-868-5117
3rd row032-881-0835
4th row032-874-1555
5th row032-873-8015
ValueCountFrequency (%)
032-433-0444 1
 
7.1%
032-868-5117 1
 
7.1%
032-881-0835 1
 
7.1%
032-874-1555 1
 
7.1%
032-873-8015 1
 
7.1%
032-873-3640 1
 
7.1%
032-866-3313 1
 
7.1%
032-433-3223 1
 
7.1%
032-888-0979 1
 
7.1%
032-876-1253 1
 
7.1%
Other values (4) 4
28.6%
2024-01-28T20:30:46.829654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 28
16.6%
- 28
16.6%
8 21
12.4%
0 20
11.8%
2 17
10.1%
7 12
7.1%
4 11
 
6.5%
5 9
 
5.3%
1 9
 
5.3%
9 9
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 141
83.4%
Dash Punctuation 28
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 28
19.9%
8 21
14.9%
0 20
14.2%
2 17
12.1%
7 12
8.5%
4 11
 
7.8%
5 9
 
6.4%
1 9
 
6.4%
9 9
 
6.4%
6 5
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 28
16.6%
- 28
16.6%
8 21
12.4%
0 20
11.8%
2 17
10.1%
7 12
7.1%
4 11
 
6.5%
5 9
 
5.3%
1 9
 
5.3%
9 9
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 28
16.6%
- 28
16.6%
8 21
12.4%
0 20
11.8%
2 17
10.1%
7 12
7.1%
4 11
 
6.5%
5 9
 
5.3%
1 9
 
5.3%
9 9
 
5.3%

위도
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean37.45517
Minimum37.436615
Maximum37.469957
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T20:30:46.932057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.436615
5-th percentile37.437707
Q137.44751
median37.457876
Q337.463205
95-th percentile37.467571
Maximum37.469957
Range0.03334238
Interquartile range (IQR)0.015695947

Descriptive statistics

Standard deviation0.01000818
Coefficient of variation (CV)0.00026720424
Kurtosis-0.87060181
Mean37.45517
Median Absolute Deviation (MAD)0.006745965
Skewness-0.51951446
Sum1123.6551
Variance0.00010016367
MonotonicityNot monotonic
2024-01-28T20:30:47.028730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
37.46356358 2
 
6.5%
37.44706744 2
 
6.5%
37.43786834 1
 
3.2%
37.45355416 1
 
3.2%
37.43951014 1
 
3.2%
37.46764233 1
 
3.2%
37.46213109 1
 
3.2%
37.46995702 1
 
3.2%
37.45037674 1
 
3.2%
37.46069075 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
37.43661464 1
3.2%
37.43757478 1
3.2%
37.43786834 1
3.2%
37.43951014 1
3.2%
37.44030944 1
3.2%
37.44473475 1
3.2%
37.44706744 2
6.5%
37.44883572 1
3.2%
37.45037674 1
3.2%
37.45236139 1
3.2%
ValueCountFrequency (%)
37.46995702 1
3.2%
37.46764233 1
3.2%
37.46748427 1
3.2%
37.46705179 1
3.2%
37.46569701 1
3.2%
37.46386867 1
3.2%
37.46356358 2
6.5%
37.46213109 1
3.2%
37.46069075 1
3.2%
37.45988987 1
3.2%

경도
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)93.3%
Missing1
Missing (%)3.2%
Infinite0
Infinite (%)0.0%
Mean126.66718
Minimum126.63979
Maximum126.69492
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2024-01-28T20:30:47.133747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63979
5-th percentile126.64409
Q1126.65169
median126.66639
Q3126.68094
95-th percentile126.69061
Maximum126.69492
Range0.0551273
Interquartile range (IQR)0.0292537

Descriptive statistics

Standard deviation0.016701221
Coefficient of variation (CV)0.00013185121
Kurtosis-1.3970479
Mean126.66718
Median Absolute Deviation (MAD)0.01501665
Skewness-0.016510315
Sum3800.0153
Variance0.00027893078
MonotonicityNot monotonic
2024-01-28T20:30:47.230828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
126.6861922 2
 
6.5%
126.6508493 2
 
6.5%
126.6813214 1
 
3.2%
126.6542167 1
 
3.2%
126.6794456 1
 
3.2%
126.6430116 1
 
3.2%
126.6474669 1
 
3.2%
126.6607804 1
 
3.2%
126.6871987 1
 
3.2%
126.6761512 1
 
3.2%
Other values (18) 18
58.1%
ValueCountFrequency (%)
126.6397917 1
3.2%
126.6430116 1
3.2%
126.6454043 1
3.2%
126.6463929 1
3.2%
126.6474669 1
3.2%
126.6496923 1
3.2%
126.6508493 2
6.5%
126.6542167 1
3.2%
126.6548304 1
3.2%
126.6556955 1
3.2%
ValueCountFrequency (%)
126.694919 1
3.2%
126.6933947 1
3.2%
126.6871987 1
3.2%
126.6861922 2
6.5%
126.6858206 1
3.2%
126.6814858 1
3.2%
126.6813214 1
3.2%
126.6798152 1
3.2%
126.6794456 1
3.2%
126.6776966 1
3.2%

Interactions

2024-01-28T20:30:44.862506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.452256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.651217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.941014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.517388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.717499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:45.032422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.589026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T20:30:44.791581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:30:47.298633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소전화번호위도경도
연번1.0001.0001.0001.0000.3130.691
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.3131.0001.0001.0001.0000.550
경도0.6911.0001.0001.0000.5501.000
2024-01-28T20:30:47.375573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.378-0.048
위도0.3781.000-0.214
경도-0.048-0.2141.000

Missing values

2024-01-28T20:30:45.123134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:30:45.200090image/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.
2024-01-28T20:30:45.269878image/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

연번상호명도로명주소전화번호위도경도
01개팔자 ~ 참인천광역시 미추홀구 소성로 305 (문학동)032-433-044437.437868126.681321
12아트애견인천광역시 미추홀구 한나루로 414 (학익동)032-868-5117<NA><NA>
23로얄애견인천광역시 미추홀구 독배로 415 (용현동)032-881-083537.456668126.649692
34둥지애견인천광역시 미추홀구 인하로164번길 3 (용현동)032-874-155537.448836126.666175
45토토 애견인천광역시 미추홀구 제일로 42 (도화동)032-873-801537.458596126.67471
56멍멍이와야옹이인천광역시 미추홀구 인주대로 272-1 (용현동)032-873-364037.452361126.666599
67금자동아, 은자동아인천광역시 미추홀구 소성로 310, 1층 103호 (문학동, 희망주택)032-866-331337.437575126.681486
78펫앤펫 인천점 강아지의 모든것인천광역시 미추홀구 경인로 500 (주안동)<NA>37.45989126.694919
89오드리 펫인천광역시 미추홀구 경인로 482 (주안동)032-433-322337.459079126.693395
910펫 스토리인천광역시 미추홀구 낙섬중로91번길 28-24 (용현동,1층)032-888-097937.456926126.639792
연번상호명도로명주소전화번호위도경도
2122러비도기인천광역시 미추홀구 석정로10번길 63 (숭의동)032-815-299137.45963126.645404
2223냉큼오시개인천광역시 미추홀구 매소홀로535번길 41 (문학동)<NA>37.440309126.679815
2324어서오개인천광역시 미추홀구 석바위로 28, 백화연구소 1층 (도화동)<NA>37.460691126.676151
2425오독 강아지 안심분양센터 인천점인천광역시 미추홀구 주안로 148, 1층 (주안동)<NA>37.463564126.686192
2526라온캣 인천 고양이분양인천광역시 미추홀구 인주대로458번길 8, 1층 (주안동)<NA>37.450377126.687199
2627강아지 분양 프러포즈펫인천광역시 미추홀구 숙골로87번길 24, 가야프라자 1층 102호 (도화동)<NA>37.469957126.66078
2728멍샵(멍#)인천광역시 미추홀구 미추로 22, 101호 (숭의동, 흥진아파트)<NA>37.462131126.647467
2829독특인천광역시 미추홀구 참외전로 268, B220호 (숭의동, 스타디움 센트럴시티)<NA>37.467642126.643012
2930상도그인천광역시 미추홀구 승학길 4, 삼마빌딩 103호 (문학동)<NA>37.43951126.679446
3031오독 고양이 안심분양센터 인천점인천광역시 미추홀구 주안로 148, 2층 (주안동)070-4795-939437.463564126.686192