Overview

Dataset statistics

Number of variables7
Number of observations26
Missing cells16
Missing cells (%)8.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory62.1 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description인천광역시 중구 관내에 위치한 반려동물숙박업에 대한 데이터 입니다.파일명 인천광역시_중구_반려동물숙박업파일내용 사업장명칭, 도로명주소, 지번주소, 전화번호 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15086298&srcSe=7661IVAWM27C61E190

Alerts

구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
전화번호 has 16 (61.5%) missing valuesMissing
연번 has unique valuesUnique
사업장명칭 has unique valuesUnique
소재지 도로명주소 has unique valuesUnique
소재지 지번주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 11:50:18.353015
Analysis finished2024-01-28 11:50:18.866938
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.5
Minimum1
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-01-28T20:50:18.924161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.25
Q17.25
median13.5
Q319.75
95-th percentile24.75
Maximum26
Range25
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation7.6485293
Coefficient of variation (CV)0.56655772
Kurtosis-1.2
Mean13.5
Median Absolute Deviation (MAD)6.5
Skewness0
Sum351
Variance58.5
MonotonicityStrictly increasing
2024-01-28T20:50:19.023841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 1
 
3.8%
15 1
 
3.8%
26 1
 
3.8%
25 1
 
3.8%
24 1
 
3.8%
23 1
 
3.8%
22 1
 
3.8%
21 1
 
3.8%
20 1
 
3.8%
19 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
1 1
3.8%
2 1
3.8%
3 1
3.8%
4 1
3.8%
5 1
3.8%
6 1
3.8%
7 1
3.8%
8 1
3.8%
9 1
3.8%
10 1
3.8%
ValueCountFrequency (%)
26 1
3.8%
25 1
3.8%
24 1
3.8%
23 1
3.8%
22 1
3.8%
21 1
3.8%
20 1
3.8%
19 1
3.8%
18 1
3.8%
17 1
3.8%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
반려동물호텔
26 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row반려동물호텔
2nd row반려동물호텔
3rd row반려동물호텔
4th row반려동물호텔
5th row반려동물호텔

Common Values

ValueCountFrequency (%)
반려동물호텔 26
100.0%

Length

2024-01-28T20:50:19.111878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:50:19.187909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반려동물호텔 26
100.0%

사업장명칭
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T20:50:19.337518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length6.5
Min length2

Characters and Unicode

Total characters169
Distinct characters110
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

Unique26 ?
Unique (%)100.0%

Sample

1st row놀러가개? 나도놀개!
2nd rowA.N.D (에이앤디)
3rd row숲속 동물병원
4th row우프우프
5th row독독
ValueCountFrequency (%)
독독 2
 
5.4%
놀러가개 1
 
2.7%
메이드펫 1
 
2.7%
놀이터 1
 
2.7%
2호점 1
 
2.7%
ami 1
 
2.7%
pet 1
 
2.7%
consult 1
 
2.7%
영종h동물의료센터 1
 
2.7%
같은마음 1
 
2.7%
Other values (26) 26
70.3%
2024-01-28T20:50:19.608582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.5%
이 7
 
4.1%
독 4
 
2.4%
개 4
 
2.4%
놀 3
 
1.8%
p 3
 
1.8%
어 3
 
1.8%
댕 3
 
1.8%
멍 3
 
1.8%
a 2
 
1.2%
Other values (100) 126
74.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 125
74.0%
Uppercase Letter 18
 
10.7%
Space Separator 11
 
6.5%
Lowercase Letter 8
 
4.7%
Other Punctuation 4
 
2.4%
Close Punctuation 1
 
0.6%
Open Punctuation 1
 
0.6%
Decimal Number 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
5.6%
독 4
 
3.2%
개 4
 
3.2%
놀 3
 
2.4%
어 3
 
2.4%
댕 3
 
2.4%
멍 3
 
2.4%
유 2
 
1.6%
견 2
 
1.6%
우 2
 
1.6%
Other values (74) 92
73.6%
Uppercase Letter
ValueCountFrequency (%)
H 2
11.1%
T 2
11.1%
A 2
11.1%
N 2
11.1%
C 1
 
5.6%
L 1
 
5.6%
U 1
 
5.6%
S 1
 
5.6%
O 1
 
5.6%
E 1
 
5.6%
Other values (4) 4
22.2%
Lowercase Letter
ValueCountFrequency (%)
p 3
37.5%
a 2
25.0%
s 1
 
12.5%
w 1
 
12.5%
y 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
! 1
25.0%
? 1
25.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 125
74.0%
Latin 26
 
15.4%
Common 18
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
5.6%
독 4
 
3.2%
개 4
 
3.2%
놀 3
 
2.4%
어 3
 
2.4%
댕 3
 
2.4%
멍 3
 
2.4%
유 2
 
1.6%
견 2
 
1.6%
우 2
 
1.6%
Other values (74) 92
73.6%
Latin
ValueCountFrequency (%)
p 3
 
11.5%
a 2
 
7.7%
H 2
 
7.7%
T 2
 
7.7%
A 2
 
7.7%
N 2
 
7.7%
C 1
 
3.8%
L 1
 
3.8%
U 1
 
3.8%
S 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
11
61.1%
. 2
 
11.1%
) 1
 
5.6%
( 1
 
5.6%
! 1
 
5.6%
? 1
 
5.6%
2 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 125
74.0%
ASCII 44
 
26.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
25.0%
p 3
 
6.8%
a 2
 
4.5%
H 2
 
4.5%
T 2
 
4.5%
A 2
 
4.5%
. 2
 
4.5%
N 2
 
4.5%
C 1
 
2.3%
L 1
 
2.3%
Other values (16) 16
36.4%
Hangul
ValueCountFrequency (%)
이 7
 
5.6%
독 4
 
3.2%
개 4
 
3.2%
놀 3
 
2.4%
어 3
 
2.4%
댕 3
 
2.4%
멍 3
 
2.4%
유 2
 
1.6%
견 2
 
1.6%
우 2
 
1.6%
Other values (74) 92
73.6%

소재지 도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T20:50:19.768390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length30
Mean length21.653846
Min length17

Characters and Unicode

Total characters563
Distinct characters51
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 운남동 412-2
2nd row인천광역시 중구 운남동 598
3rd row인천광역시 중구 중산동 1886-20 비젼프라자 II
4th row인천광역시 중구 중산동 1874-8 스카이 메디컬 프라자
5th row인천광역시 중구 남북동 800-2
ValueCountFrequency (%)
인천광역시 26
23.2%
중구 26
23.2%
중산동 10
 
8.9%
운남동 5
 
4.5%
운북동 3
 
2.7%
운서동 3
 
2.7%
남북동 3
 
2.7%
뉴에어포트오피스텔 1
 
0.9%
1904-7 1
 
0.9%
1132-14 1
 
0.9%
Other values (33) 33
29.5%
2024-01-28T20:50:20.053608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
19.9%
중 36
 
6.4%
1 32
 
5.7%
시 27
 
4.8%
인 26
 
4.6%
광 26
 
4.6%
역 26
 
4.6%
구 26
 
4.6%
천 26
 
4.6%
동 26
 
4.6%
Other values (41) 200
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 294
52.2%
Decimal Number 130
23.1%
Space Separator 112
 
19.9%
Dash Punctuation 25
 
4.4%
Uppercase Letter 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 36
12.2%
시 27
9.2%
인 26
8.8%
광 26
8.8%
역 26
8.8%
구 26
8.8%
천 26
8.8%
동 26
8.8%
운 11
 
3.7%
산 10
 
3.4%
Other values (28) 54
18.4%
Decimal Number
ValueCountFrequency (%)
1 32
24.6%
2 16
12.3%
8 15
11.5%
0 14
10.8%
3 13
10.0%
7 11
 
8.5%
9 10
 
7.7%
4 8
 
6.2%
6 8
 
6.2%
5 3
 
2.3%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 294
52.2%
Common 267
47.4%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 36
12.2%
시 27
9.2%
인 26
8.8%
광 26
8.8%
역 26
8.8%
구 26
8.8%
천 26
8.8%
동 26
8.8%
운 11
 
3.7%
산 10
 
3.4%
Other values (28) 54
18.4%
Common
ValueCountFrequency (%)
112
41.9%
1 32
 
12.0%
- 25
 
9.4%
2 16
 
6.0%
8 15
 
5.6%
0 14
 
5.2%
3 13
 
4.9%
7 11
 
4.1%
9 10
 
3.7%
4 8
 
3.0%
Other values (2) 11
 
4.1%
Latin
ValueCountFrequency (%)
I 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 294
52.2%
ASCII 269
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
41.6%
1 32
 
11.9%
- 25
 
9.3%
2 16
 
5.9%
8 15
 
5.6%
0 14
 
5.2%
3 13
 
4.8%
7 11
 
4.1%
9 10
 
3.7%
4 8
 
3.0%
Other values (3) 13
 
4.8%
Hangul
ValueCountFrequency (%)
중 36
12.2%
시 27
9.2%
인 26
8.8%
광 26
8.8%
역 26
8.8%
구 26
8.8%
천 26
8.8%
동 26
8.8%
운 11
 
3.7%
산 10
 
3.4%
Other values (28) 54
18.4%

소재지 지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-01-28T20:50:20.277365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length29.769231
Min length23

Characters and Unicode

Total characters774
Distinct characters87
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

Unique26 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 운중로14번길 28 (운남동)
2nd row인천광역시 중구 백운로107번길 68-7 (운남동)
3rd row인천광역시 중구 자연대로 40, 비젼프라자 II 109호 (중산동)
4th row인천광역시 중구 하늘달빛로64번길 6-3, 스카이 메디컬 프라자 401호 (중산동)
5th row인천광역시 중구 공항서로 517 (남북동)
ValueCountFrequency (%)
인천광역시 26
 
16.4%
중구 26
 
16.4%
중산동 10
 
6.3%
운남동 5
 
3.1%
1층 4
 
2.5%
운서동 3
 
1.9%
남북동 3
 
1.9%
공항서로 3
 
1.9%
백운로 3
 
1.9%
운북동 2
 
1.3%
Other values (71) 74
46.5%
2024-01-28T20:50:20.581176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
133
 
17.2%
중 39
 
5.0%
동 33
 
4.3%
시 27
 
3.5%
인 26
 
3.4%
( 26
 
3.4%
천 26
 
3.4%
로 26
 
3.4%
구 26
 
3.4%
역 26
 
3.4%
Other values (77) 386
49.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 439
56.7%
Space Separator 133
 
17.2%
Decimal Number 125
 
16.1%
Open Punctuation 26
 
3.4%
Close Punctuation 26
 
3.4%
Other Punctuation 17
 
2.2%
Dash Punctuation 4
 
0.5%
Uppercase Letter 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 39
 
8.9%
동 33
 
7.5%
시 27
 
6.2%
인 26
 
5.9%
천 26
 
5.9%
로 26
 
5.9%
구 26
 
5.9%
역 26
 
5.9%
광 26
 
5.9%
운 21
 
4.8%
Other values (59) 163
37.1%
Decimal Number
ValueCountFrequency (%)
1 25
20.0%
2 19
15.2%
0 16
12.8%
4 13
10.4%
3 11
8.8%
8 10
 
8.0%
6 10
 
8.0%
5 9
 
7.2%
7 7
 
5.6%
9 5
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
50.0%
C 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
133
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 439
56.7%
Common 331
42.8%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 39
 
8.9%
동 33
 
7.5%
시 27
 
6.2%
인 26
 
5.9%
천 26
 
5.9%
로 26
 
5.9%
구 26
 
5.9%
역 26
 
5.9%
광 26
 
5.9%
운 21
 
4.8%
Other values (59) 163
37.1%
Common
ValueCountFrequency (%)
133
40.2%
( 26
 
7.9%
) 26
 
7.9%
1 25
 
7.6%
2 19
 
5.7%
, 17
 
5.1%
0 16
 
4.8%
4 13
 
3.9%
3 11
 
3.3%
8 10
 
3.0%
Other values (5) 35
 
10.6%
Latin
ValueCountFrequency (%)
I 2
50.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 439
56.7%
ASCII 335
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
133
39.7%
( 26
 
7.8%
) 26
 
7.8%
1 25
 
7.5%
2 19
 
5.7%
, 17
 
5.1%
0 16
 
4.8%
4 13
 
3.9%
3 11
 
3.3%
8 10
 
3.0%
Other values (8) 39
 
11.6%
Hangul
ValueCountFrequency (%)
중 39
 
8.9%
동 33
 
7.5%
시 27
 
6.2%
인 26
 
5.9%
천 26
 
5.9%
로 26
 
5.9%
구 26
 
5.9%
역 26
 
5.9%
광 26
 
5.9%
운 21
 
4.8%
Other values (59) 163
37.1%

전화번호
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing16
Missing (%)61.5%
Memory size340.0 B
2024-01-28T20:50:20.739342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.1
Min length12

Characters and Unicode

Total characters121
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

Unique10 ?
Unique (%)100.0%

Sample

1st row032-752-9944
2nd row032-747-0669
3rd row032-752-4575
4th row032-752-8588
5th row032-746-5055
ValueCountFrequency (%)
032-752-9944 1
10.0%
032-747-0669 1
10.0%
032-752-4575 1
10.0%
032-752-8588 1
10.0%
032-746-5055 1
10.0%
070-8113-0977 1
10.0%
032-746-8843 1
10.0%
032-752-1688 1
10.0%
032-752-7515 1
10.0%
032-752-8189 1
10.0%
2024-01-28T20:50:20.996613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 20
16.5%
2 15
12.4%
7 15
12.4%
0 14
11.6%
5 14
11.6%
3 11
9.1%
8 10
8.3%
4 7
 
5.8%
9 5
 
4.1%
6 5
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 101
83.5%
Dash Punctuation 20
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 15
14.9%
7 15
14.9%
0 14
13.9%
5 14
13.9%
3 11
10.9%
8 10
9.9%
4 7
6.9%
9 5
 
5.0%
6 5
 
5.0%
1 5
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 121
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 20
16.5%
2 15
12.4%
7 15
12.4%
0 14
11.6%
5 14
11.6%
3 11
9.1%
8 10
8.3%
4 7
 
5.8%
9 5
 
4.1%
6 5
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 121
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 20
16.5%
2 15
12.4%
7 15
12.4%
0 14
11.6%
5 14
11.6%
3 11
9.1%
8 10
8.3%
4 7
 
5.8%
9 5
 
4.1%
6 5
 
4.1%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-08-18
26 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-18
2nd row2023-08-18
3rd row2023-08-18
4th row2023-08-18
5th row2023-08-18

Common Values

ValueCountFrequency (%)
2023-08-18 26
100.0%

Length

2024-01-28T20:50:21.098069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T20:50:21.167889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-18 26
100.0%

Interactions

2024-01-28T20:50:18.615688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T20:50:21.211463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사업장명칭소재지 도로명주소소재지 지번주소전화번호
연번1.0001.0001.0001.0001.000
사업장명칭1.0001.0001.0001.0001.000
소재지 도로명주소1.0001.0001.0001.0001.000
소재지 지번주소1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-01-28T20:50:18.726620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T20:50:18.822727image/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

연번구분사업장명칭소재지 도로명주소소재지 지번주소전화번호데이터기준일
01반려동물호텔놀러가개? 나도놀개!인천광역시 중구 운남동 412-2인천광역시 중구 운중로14번길 28 (운남동)032-752-99442023-08-18
12반려동물호텔A.N.D (에이앤디)인천광역시 중구 운남동 598인천광역시 중구 백운로107번길 68-7 (운남동)032-747-06692023-08-18
23반려동물호텔숲속 동물병원인천광역시 중구 중산동 1886-20 비젼프라자 II인천광역시 중구 자연대로 40, 비젼프라자 II 109호 (중산동)032-752-45752023-08-18
34반려동물호텔우프우프인천광역시 중구 중산동 1874-8 스카이 메디컬 프라자인천광역시 중구 하늘달빛로64번길 6-3, 스카이 메디컬 프라자 401호 (중산동)032-752-85882023-08-18
45반려동물호텔독독인천광역시 중구 남북동 800-2인천광역시 중구 공항서로 517 (남북동)032-746-50552023-08-18
56반려동물호텔훈트가르텐인천광역시 중구 중산동 1097-230인천광역시 중구 하늘대로 683 (중산동)070-8113-09772023-08-18
67반려동물호텔개인플레이인천광역시 중구 운남동 170-89인천광역시 중구 운중로48번길 102, A동 (운남동)<NA>2023-08-18
78반려동물호텔캐리어 끄는 댕댕이인천광역시 중구 남북동 785-19인천광역시 중구 공항서로 463 (남북동)<NA>2023-08-18
89반려동물호텔나의 코코인천광역시 중구 운북동 116-1인천광역시 중구 백운로228번길 55, C동 (운북동)<NA>2023-08-18
910반려동물호텔멍시앙인천광역시 중구 을왕동 812-9인천광역시 중구 용유서로 466 (을왕동)032-746-88432023-08-18
연번구분사업장명칭소재지 도로명주소소재지 지번주소전화번호데이터기준일
1617반려동물호텔AMI PET CONSULT인천광역시 중구 중산동 1292-24인천광역시 중구 백운로 37, 1층 (중산동)<NA>2023-08-18
1718반려동물호텔영종H동물의료센터인천광역시 중구 중산동 1873-3인천광역시 중구 자연대로 47, 스타타워 2 101호 (중산동)032-752-75152023-08-18
1819반려동물호텔메이드펫인천광역시 중구 운서동 2806-1 뉴에어포트오피스텔인천광역시 중구 영종대로 118, 뉴에어포트오피스텔 103호 (운서동)<NA>2023-08-18
1920반려동물호텔같은마음인천광역시 중구 운서동 3091-13 프라임시티3인천광역시 중구 햇내로13번길 8, 프라임시티3 204호 (운서동)<NA>2023-08-18
2021반려동물호텔Happy paws인천광역시 중구 중산동 1873-17인천광역시 중구 영종대로 893, 1층 120호 (중산동)<NA>2023-08-18
2122반려동물호텔도그어스플래닛에듀케이션인천광역시 중구 중산동 1876-13 스카이에비뉴1인천광역시 중구 하늘달빛로 90-7, 스카이에비뉴1 1001호 (중산동)032-752-81892023-08-18
2223반려동물호텔트루셰어펫텔인천광역시 중구 운남동 347-1인천광역시 중구 운남동로 44, 제가동 (운남동)<NA>2023-08-18
2324반려동물호텔섬댕인천광역시 중구 운남동 1601-3인천광역시 중구 흰바위로232번길 31, 2동 2층 (운남동)<NA>2023-08-18
2425반려동물호텔힐링퍼피인천광역시 중구 도원동 40-4인천광역시 중구 도원로26번길 25 (도원동)<NA>2023-08-18
2526반려동물호텔커몽홈스테이인천광역시 중구 중산동 1292-15인천광역시 중구 백운로 56, 가동 (중산동)<NA>2023-08-18