Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory64.5 B

Variable types

Numeric3
Text4

Dataset

Description인천광역시 미추홀구 관내 영업등록된 동물병원 현황에 대한 공공데이터로 상호명, 도로명주소, 대표자, 전화번호, 좌표값 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15060769&srcSe=7661IVAWM27C61E190

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:27:26.343284
Analysis finished2024-03-18 04:27:27.396785
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-18T13:27:27.642905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-03-18T13:27:27.753951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

상호명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-18T13:27:27.901454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.75
Min length6

Characters and Unicode

Total characters186
Distinct characters67
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row중앙가축병원
2nd row시민동물병원
3rd row한국동물병원
4th row안상수동물병원
5th row24시 건국 본 동물병원
ValueCountFrequency (%)
동물병원 3
 
10.3%
중앙가축병원 1
 
3.4%
페트로 1
 
3.4%
시드니종합동물병원 1
 
3.4%
사랑애동물메디컬센터 1
 
3.4%
노아 1
 
3.4%
펫홈종합동물병원 1
 
3.4%
하인츠동물병원 1
 
3.4%
바른동물병원 1
 
3.4%
학익동물병원 1
 
3.4%
Other values (17) 17
58.6%
2024-03-18T13:27:28.173689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
물 23
 
12.4%
동 23
 
12.4%
병 21
 
11.3%
원 21
 
11.3%
5
 
2.7%
터 4
 
2.2%
시 4
 
2.2%
합 4
 
2.2%
종 4
 
2.2%
아 4
 
2.2%
Other values (57) 73
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
95.2%
Space Separator 5
 
2.7%
Decimal Number 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
물 23
 
13.0%
동 23
 
13.0%
병 21
 
11.9%
원 21
 
11.9%
터 4
 
2.3%
시 4
 
2.3%
합 4
 
2.3%
종 4
 
2.3%
아 4
 
2.3%
센 3
 
1.7%
Other values (54) 66
37.3%
Decimal Number
ValueCountFrequency (%)
4 2
50.0%
2 2
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
95.2%
Common 9
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
물 23
 
13.0%
동 23
 
13.0%
병 21
 
11.9%
원 21
 
11.9%
터 4
 
2.3%
시 4
 
2.3%
합 4
 
2.3%
종 4
 
2.3%
아 4
 
2.3%
센 3
 
1.7%
Other values (54) 66
37.3%
Common
ValueCountFrequency (%)
5
55.6%
4 2
 
22.2%
2 2
 
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
95.2%
ASCII 9
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
물 23
 
13.0%
동 23
 
13.0%
병 21
 
11.9%
원 21
 
11.9%
터 4
 
2.3%
시 4
 
2.3%
합 4
 
2.3%
종 4
 
2.3%
아 4
 
2.3%
센 3
 
1.7%
Other values (54) 66
37.3%
ASCII
ValueCountFrequency (%)
5
55.6%
4 2
 
22.2%
2 2
 
22.2%

도로명주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-18T13:27:28.411827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length28.583333
Min length23

Characters and Unicode

Total characters686
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 경인로 417-1 (주안동)
2nd row인천광역시 미추홀구 인주대로 413 (주안동)
3rd row인천광역시 미추홀구 낙섬중로 25 (용현동)
4th row인천광역시 미추홀구 낙섬중로 53, 1층 (용현동)
5th row인천광역시 미추홀구 인하로 287, 2층 (주안동)
ValueCountFrequency (%)
인천광역시 24
17.3%
미추홀구 24
17.3%
주안동 12
 
8.6%
용현동 7
 
5.0%
1층 5
 
3.6%
미추홀대로 3
 
2.2%
소성로 3
 
2.2%
학익동 3
 
2.2%
인주대로 3
 
2.2%
낙섬중로 3
 
2.2%
Other values (48) 52
37.4%
2024-03-18T13:27:28.739015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
115
 
16.8%
인 32
 
4.7%
미 28
 
4.1%
추 27
 
3.9%
홀 27
 
3.9%
동 25
 
3.6%
로 24
 
3.5%
) 24
 
3.5%
( 24
 
3.5%
천 24
 
3.5%
Other values (65) 336
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
61.1%
Space Separator 115
 
16.8%
Decimal Number 89
 
13.0%
Close Punctuation 24
 
3.5%
Open Punctuation 24
 
3.5%
Other Punctuation 14
 
2.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 32
 
7.6%
미 28
 
6.7%
추 27
 
6.4%
홀 27
 
6.4%
동 25
 
6.0%
로 24
 
5.7%
천 24
 
5.7%
역 24
 
5.7%
구 24
 
5.7%
시 24
 
5.7%
Other values (50) 160
38.2%
Decimal Number
ValueCountFrequency (%)
1 20
22.5%
2 12
13.5%
3 12
13.5%
0 11
12.4%
4 7
 
7.9%
7 6
 
6.7%
5 6
 
6.7%
6 6
 
6.7%
9 5
 
5.6%
8 4
 
4.5%
Space Separator
ValueCountFrequency (%)
115
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 419
61.1%
Common 267
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 32
 
7.6%
미 28
 
6.7%
추 27
 
6.4%
홀 27
 
6.4%
동 25
 
6.0%
로 24
 
5.7%
천 24
 
5.7%
역 24
 
5.7%
구 24
 
5.7%
시 24
 
5.7%
Other values (50) 160
38.2%
Common
ValueCountFrequency (%)
115
43.1%
) 24
 
9.0%
( 24
 
9.0%
1 20
 
7.5%
, 14
 
5.2%
2 12
 
4.5%
3 12
 
4.5%
0 11
 
4.1%
4 7
 
2.6%
7 6
 
2.2%
Other values (5) 22
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
61.1%
ASCII 267
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
115
43.1%
) 24
 
9.0%
( 24
 
9.0%
1 20
 
7.5%
, 14
 
5.2%
2 12
 
4.5%
3 12
 
4.5%
0 11
 
4.1%
4 7
 
2.6%
7 6
 
2.2%
Other values (5) 22
 
8.2%
Hangul
ValueCountFrequency (%)
인 32
 
7.6%
미 28
 
6.7%
추 27
 
6.4%
홀 27
 
6.4%
동 25
 
6.0%
로 24
 
5.7%
천 24
 
5.7%
역 24
 
5.7%
구 24
 
5.7%
시 24
 
5.7%
Other values (50) 160
38.2%

대표자
Text

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-18T13:27:28.888520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9583333
Min length2

Characters and Unicode

Total characters71
Distinct characters32
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row김*년
2nd row정*길
3rd row소*섭
4th row안*수
5th row강*준
ValueCountFrequency (%)
김*진 2
 
8.3%
김*년 1
 
4.2%
송*섭 1
 
4.2%
전*욱 1
 
4.2%
김 1
 
4.2%
김*모 1
 
4.2%
조*진 1
 
4.2%
최*규 1
 
4.2%
이*호 1
 
4.2%
김*형 1
 
4.2%
Other values (13) 13
54.2%
2024-03-18T13:27:29.120529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 24
33.8%
김 10
14.1%
진 3
 
4.2%
이 2
 
2.8%
영 2
 
2.8%
섭 2
 
2.8%
환 2
 
2.8%
규 2
 
2.8%
호 1
 
1.4%
현 1
 
1.4%
Other values (22) 22
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
66.2%
Other Punctuation 24
33.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 10
21.3%
진 3
 
6.4%
이 2
 
4.3%
영 2
 
4.3%
섭 2
 
4.3%
환 2
 
4.3%
규 2
 
4.3%
호 1
 
2.1%
현 1
 
2.1%
년 1
 
2.1%
Other values (21) 21
44.7%
Other Punctuation
ValueCountFrequency (%)
* 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47
66.2%
Common 24
33.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 10
21.3%
진 3
 
6.4%
이 2
 
4.3%
영 2
 
4.3%
섭 2
 
4.3%
환 2
 
4.3%
규 2
 
4.3%
호 1
 
2.1%
현 1
 
2.1%
년 1
 
2.1%
Other values (21) 21
44.7%
Common
ValueCountFrequency (%)
* 24
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47
66.2%
ASCII 24
33.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 24
100.0%
Hangul
ValueCountFrequency (%)
김 10
21.3%
진 3
 
6.4%
이 2
 
4.3%
영 2
 
4.3%
섭 2
 
4.3%
환 2
 
4.3%
규 2
 
4.3%
호 1
 
2.1%
현 1
 
2.1%
년 1
 
2.1%
Other values (21) 21
44.7%

전화번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-03-18T13:27:29.307134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters288
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

Unique24 ?
Unique (%)100.0%

Sample

1st row032-424-3331
2nd row032-426-4545
3rd row032-887-2952
4th row032-887-1537
5th row032-864-0075
ValueCountFrequency (%)
032-424-3331 1
 
4.2%
032-426-4545 1
 
4.2%
032-437-7588 1
 
4.2%
032-223-0119 1
 
4.2%
032-874-2202 1
 
4.2%
032-427-7588 1
 
4.2%
032-204-7707 1
 
4.2%
032-876-8575 1
 
4.2%
032-868-2626 1
 
4.2%
032-863-7582 1
 
4.2%
Other values (14) 14
58.3%
2024-03-18T13:27:29.568873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 49
17.0%
- 48
16.7%
0 38
13.2%
3 37
12.8%
8 32
11.1%
7 27
9.4%
5 22
7.6%
6 16
 
5.6%
4 11
 
3.8%
1 4
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 240
83.3%
Dash Punctuation 48
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 49
20.4%
0 38
15.8%
3 37
15.4%
8 32
13.3%
7 27
11.2%
5 22
9.2%
6 16
 
6.7%
4 11
 
4.6%
1 4
 
1.7%
9 4
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 49
17.0%
- 48
16.7%
0 38
13.2%
3 37
12.8%
8 32
11.1%
7 27
9.4%
5 22
7.6%
6 16
 
5.6%
4 11
 
3.8%
1 4
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 49
17.0%
- 48
16.7%
0 38
13.2%
3 37
12.8%
8 32
11.1%
7 27
9.4%
5 22
7.6%
6 16
 
5.6%
4 11
 
3.8%
1 4
 
1.4%

위도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.453652
Minimum37.441956
Maximum37.470473
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-18T13:27:29.665141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.441956
5-th percentile37.44304
Q137.448049
median37.452672
Q337.458162
95-th percentile37.466367
Maximum37.470473
Range0.02851699
Interquartile range (IQR)0.010113105

Descriptive statistics

Standard deviation0.0074847706
Coefficient of variation (CV)0.00019984088
Kurtosis-0.18635099
Mean37.453652
Median Absolute Deviation (MAD)0.00534066
Skewness0.45494863
Sum898.88764
Variance5.6021791 × 10-5
MonotonicityNot monotonic
2024-03-18T13:27:29.752236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
37.45830369 1
 
4.2%
37.46215949 1
 
4.2%
37.45565838 1
 
4.2%
37.45064128 1
 
4.2%
37.45766128 1
 
4.2%
37.47047277 1
 
4.2%
37.45258534 1
 
4.2%
37.44745705 1
 
4.2%
37.44290208 1
 
4.2%
37.44195578 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
37.44195578 1
4.2%
37.44290208 1
4.2%
37.44382177 1
4.2%
37.44501583 1
4.2%
37.44706744 1
4.2%
37.44745705 1
4.2%
37.44824636 1
4.2%
37.45064128 1
4.2%
37.45076074 1
4.2%
37.45149151 1
4.2%
ValueCountFrequency (%)
37.47047277 1
4.2%
37.46672249 1
4.2%
37.46435481 1
4.2%
37.46215949 1
4.2%
37.45830369 1
4.2%
37.45823344 1
4.2%
37.45813837 1
4.2%
37.45766128 1
4.2%
37.45578764 1
4.2%
37.45565838 1
4.2%

경도
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66588
Minimum126.63667
Maximum126.69024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-03-18T13:27:29.855980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63667
5-th percentile126.63734
Q1126.6506
median126.66553
Q3126.68002
95-th percentile126.68738
Maximum126.69024
Range0.0535675
Interquartile range (IQR)0.029417475

Descriptive statistics

Standard deviation0.017467181
Coefficient of variation (CV)0.00013789965
Kurtosis-1.212829
Mean126.66588
Median Absolute Deviation (MAD)0.0146313
Skewness-0.38493144
Sum3039.9812
Variance0.0003051024
MonotonicityNot monotonic
2024-03-18T13:27:29.962425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.6865718 1
 
4.2%
126.6902375 1
 
4.2%
126.6407753 1
 
4.2%
126.6803654 1
 
4.2%
126.6875275 1
 
4.2%
126.6634977 1
 
4.2%
126.6801119 1
 
4.2%
126.6498467 1
 
4.2%
126.6636846 1
 
4.2%
126.6630017 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
126.63667 1
4.2%
126.637181 1
4.2%
126.6382154 1
4.2%
126.6407753 1
4.2%
126.6493803 1
4.2%
126.6498467 1
4.2%
126.6508493 1
4.2%
126.6555949 1
4.2%
126.6624954 1
4.2%
126.6630017 1
4.2%
ValueCountFrequency (%)
126.6902375 1
4.2%
126.6875275 1
4.2%
126.6865718 1
4.2%
126.6825164 1
4.2%
126.6803654 1
4.2%
126.6801119 1
4.2%
126.6799842 1
4.2%
126.6798011 1
4.2%
126.6791561 1
4.2%
126.6785394 1
4.2%

Interactions

2024-03-18T13:27:27.013037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:26.602598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:26.802630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:27.087684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:26.662086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:26.866576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:27.156919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:26.731844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T13:27:26.932860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:27:30.040323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소대표자전화번호위도경도
연번1.0001.0001.0000.9191.0000.3490.000
상호명1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
대표자0.9191.0001.0001.0001.0000.9100.903
전화번호1.0001.0001.0001.0001.0001.0001.000
위도0.3491.0001.0000.9101.0001.0000.680
경도0.0001.0001.0000.9031.0000.6801.000
2024-03-18T13:27:30.134786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.0920.037
위도-0.0921.0000.222
경도0.0370.2221.000

Missing values

2024-03-18T13:27:27.260544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:27:27.359467image/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

연번상호명도로명주소대표자전화번호위도경도
01중앙가축병원인천광역시 미추홀구 경인로 417-1 (주안동)김*년032-424-333137.458304126.686572
12시민동물병원인천광역시 미추홀구 인주대로 413 (주안동)정*길032-426-454537.451492126.682516
23한국동물병원인천광역시 미추홀구 낙섬중로 25 (용현동)소*섭032-887-295237.450761126.63667
34안상수동물병원인천광역시 미추홀구 낙섬중로 53, 1층 (용현동)안*수032-887-153737.45293126.638215
4524시 건국 본 동물병원인천광역시 미추홀구 인하로 287, 2층 (주안동)강*준032-864-007537.448246126.679984
56지오동물병원인천광역시 미추홀구 소성로 121 (학익동)김*칠032-872-758237.443822126.662495
67온누리동물병원인천광역시 미추홀구 인주대로 168 (용현동)김*태032-866-572537.455788126.655595
78아라종합동물병원인천광역시 미추홀구 주안로 73 (주안동)김*진032-886-007937.464355126.677839
89주안동물병원인천광역시 미추홀구 석정로 400 (주안동)황*환032-203-007537.466722126.679801
910삼성동물종합병원인천광역시 미추홀구 인주대로 277 (주안동)고*철032-868-252637.452512126.667367
연번상호명도로명주소대표자전화번호위도경도
1415아이러브펫동물병원인천광역시 미추홀구 소성로 6 (용현동, 홈플러스 인하점 지하1층)오*현032-875-756637.447067126.650849
1516닥터파파동물병원인천광역시 미추홀구 미추홀대로 533 (주안동)김*영032-863-758237.445016126.678539
1617학익동물병원인천광역시 미추홀구 한나루로 379 (학익동, 제중빌딩)김*형032-868-262637.441956126.663002
1718바른동물병원인천광역시 미추홀구 소성로 136 (학익동)이*호032-876-857537.442902126.663685
1819하인츠동물병원인천광역시 미추홀구 독배로 305, 201호 (용현동)최*규032-204-770737.447457126.649847
1920펫홈종합동물병원인천광역시 미추홀구 미추홀대로 620, 1층 (주안동)조*진032-427-758837.452585126.680112
2021노아 동물병원인천광역시 미추홀구 숙골로 90, 도화프라자 201호 (도화동)김*모032-874-220237.470473126.663498
2122사랑애동물메디컬센터인천광역시 미추홀구 경인로 428, 1층 (주안동)김*032-223-011937.457661126.687528
2223시드니종합동물병원인천광역시 미추홀구 미추홀대로 594, 동경프라자 1층 (주안동)전*욱032-437-758837.450641126.680365
2324포인트동물의료센터인천광역시 미추홀구 낙섬중로 92, 101호, 102호 (용현동)김*규032-882-827537.455658126.640775