Overview

Dataset statistics

Number of variables7
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory61.1 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description전북특별자치도 전주시 내 동물등록대행업소를 제공하며, 대행업소명, 도로명주소, 지번주소, 위도, 경도 등을 제공합니다.항목 : 대행업소명, 도로명주소, 지번주소, 위도, 경도, 소재지전화번호제공부서 : 동물복지과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15053268/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대행업소명 has unique valuesUnique
도로명주소 has unique valuesUnique
지번주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
소재지전화번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 09:34:45.471670
Analysis finished2024-03-14 09:34:46.959643
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대행업소명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-14T18:34:47.739309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.1463415
Min length5

Characters and Unicode

Total characters293
Distinct characters92
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row21세기종합동물병원
2nd rowMVP동물병원
3rd row개린이동물병원
4th row늘푸른동물병원
5th row닥터펫동물병원
ValueCountFrequency (%)
21세기종합동물병원 1
 
2.4%
펫동물병원 1
 
2.4%
에코동물병원 1
 
2.4%
올리몰스동물병원 1
 
2.4%
우리동물병원 1
 
2.4%
웰동물병원 1
 
2.4%
자스민동물병원 1
 
2.4%
전주동물병원 1
 
2.4%
코끼리동물병원 1
 
2.4%
코끼리동물병원(중화산점 1
 
2.4%
Other values (32) 32
76.2%
2024-03-14T18:34:48.926570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 42
 
14.3%
물 41
 
14.0%
병 39
 
13.3%
원 39
 
13.3%
리 6
 
2.0%
스 5
 
1.7%
하 4
 
1.4%
이 4
 
1.4%
합 3
 
1.0%
종 3
 
1.0%
Other values (82) 107
36.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 283
96.6%
Decimal Number 4
 
1.4%
Uppercase Letter 3
 
1.0%
Space Separator 1
 
0.3%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 42
14.8%
물 41
14.5%
병 39
13.8%
원 39
13.8%
리 6
 
2.1%
스 5
 
1.8%
하 4
 
1.4%
이 4
 
1.4%
합 3
 
1.1%
종 3
 
1.1%
Other values (73) 97
34.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
4 1
25.0%
1 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
33.3%
V 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
96.6%
Common 7
 
2.4%
Latin 3
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 42
14.8%
물 41
14.5%
병 39
13.8%
원 39
13.8%
리 6
 
2.1%
스 5
 
1.8%
하 4
 
1.4%
이 4
 
1.4%
합 3
 
1.1%
종 3
 
1.1%
Other values (73) 97
34.3%
Common
ValueCountFrequency (%)
2 2
28.6%
4 1
14.3%
1
14.3%
) 1
14.3%
( 1
14.3%
1 1
14.3%
Latin
ValueCountFrequency (%)
P 1
33.3%
V 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 283
96.6%
ASCII 10
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 42
14.8%
물 41
14.5%
병 39
13.8%
원 39
13.8%
리 6
 
2.1%
스 5
 
1.8%
하 4
 
1.4%
이 4
 
1.4%
합 3
 
1.1%
종 3
 
1.1%
Other values (73) 97
34.3%
ASCII
ValueCountFrequency (%)
2 2
20.0%
4 1
10.0%
1
10.0%
) 1
10.0%
( 1
10.0%
P 1
10.0%
V 1
10.0%
M 1
10.0%
1 1
10.0%

도로명주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-14T18:34:49.740179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length23.365854
Min length22

Characters and Unicode

Total characters958
Distinct characters73
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 전주시 덕진구 시천로 26
2nd row전북특별자치도 전주시 완산구 세내로 285
3rd row전북특별자치도 전주시 완산구 서원로 168
4th row전북특별자치도 전주시 완산구 충경로 11
5th row전북특별자치도 전주시 완산구 백제대로 378
ValueCountFrequency (%)
전북특별자치도 41
20.0%
전주시 41
20.0%
완산구 22
 
10.7%
덕진구 19
 
9.3%
백제대로 4
 
2.0%
서원로 3
 
1.5%
송천중앙로 3
 
1.5%
모악로 3
 
1.5%
거마평로 2
 
1.0%
세내로 2
 
1.0%
Other values (61) 65
31.7%
2024-03-14T18:34:50.790389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
17.2%
전 82
 
8.6%
구 43
 
4.5%
시 42
 
4.4%
특 41
 
4.3%
별 41
 
4.3%
자 41
 
4.3%
치 41
 
4.3%
도 41
 
4.3%
주 41
 
4.3%
Other values (63) 380
39.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 680
71.0%
Space Separator 165
 
17.2%
Decimal Number 111
 
11.6%
Dash Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 82
 
12.1%
구 43
 
6.3%
시 42
 
6.2%
특 41
 
6.0%
별 41
 
6.0%
자 41
 
6.0%
치 41
 
6.0%
도 41
 
6.0%
주 41
 
6.0%
북 41
 
6.0%
Other values (51) 226
33.2%
Decimal Number
ValueCountFrequency (%)
1 23
20.7%
2 18
16.2%
4 12
10.8%
7 11
9.9%
3 9
 
8.1%
9 8
 
7.2%
0 8
 
7.2%
6 8
 
7.2%
5 7
 
6.3%
8 7
 
6.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 680
71.0%
Common 278
29.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 82
 
12.1%
구 43
 
6.3%
시 42
 
6.2%
특 41
 
6.0%
별 41
 
6.0%
자 41
 
6.0%
치 41
 
6.0%
도 41
 
6.0%
주 41
 
6.0%
북 41
 
6.0%
Other values (51) 226
33.2%
Common
ValueCountFrequency (%)
165
59.4%
1 23
 
8.3%
2 18
 
6.5%
4 12
 
4.3%
7 11
 
4.0%
3 9
 
3.2%
9 8
 
2.9%
0 8
 
2.9%
6 8
 
2.9%
5 7
 
2.5%
Other values (2) 9
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 680
71.0%
ASCII 278
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
59.4%
1 23
 
8.3%
2 18
 
6.5%
4 12
 
4.3%
7 11
 
4.0%
3 9
 
3.2%
9 8
 
2.9%
0 8
 
2.9%
6 8
 
2.9%
5 7
 
2.5%
Other values (2) 9
 
3.2%
Hangul
ValueCountFrequency (%)
전 82
 
12.1%
구 43
 
6.3%
시 42
 
6.2%
특 41
 
6.0%
별 41
 
6.0%
자 41
 
6.0%
치 41
 
6.0%
도 41
 
6.0%
주 41
 
6.0%
북 41
 
6.0%
Other values (51) 226
33.2%

지번주소
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-14T18:34:51.713966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length26.756098
Min length22

Characters and Unicode

Total characters1097
Distinct characters48
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 전주시 덕진구 송천동1가 626-42
2nd row전북특별자치도 전주시 완산구 효자동3가 1542-1
3rd row전북특별자치도 전주시 완산구 효자동3가 37-71
4th row전북특별자치도 전주시 완산구 다가동3가 24-9
5th row전북특별자치도 전주시 완산구 서신동 산 997-8
ValueCountFrequency (%)
전북특별자치도 41
19.9%
전주시 41
19.9%
완산구 22
 
10.7%
덕진구 19
 
9.2%
서신동 4
 
1.9%
송천동1가 4
 
1.9%
인후동1가 4
 
1.9%
효자동1가 4
 
1.9%
중화산동2가 3
 
1.5%
송천동2가 3
 
1.5%
Other values (57) 61
29.6%
2024-03-14T18:34:52.895127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
15.0%
전 83
 
7.6%
자 49
 
4.5%
1 47
 
4.3%
북 42
 
3.8%
특 41
 
3.7%
별 41
 
3.7%
치 41
 
3.7%
도 41
 
3.7%
주 41
 
3.7%
Other values (38) 506
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 691
63.0%
Decimal Number 205
 
18.7%
Space Separator 165
 
15.0%
Dash Punctuation 36
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 83
 
12.0%
자 49
 
7.1%
북 42
 
6.1%
특 41
 
5.9%
별 41
 
5.9%
치 41
 
5.9%
도 41
 
5.9%
주 41
 
5.9%
시 41
 
5.9%
동 41
 
5.9%
Other values (26) 230
33.3%
Decimal Number
ValueCountFrequency (%)
1 47
22.9%
2 32
15.6%
3 28
13.7%
8 18
 
8.8%
4 18
 
8.8%
6 16
 
7.8%
9 13
 
6.3%
5 13
 
6.3%
0 10
 
4.9%
7 10
 
4.9%
Space Separator
ValueCountFrequency (%)
165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 691
63.0%
Common 406
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 83
 
12.0%
자 49
 
7.1%
북 42
 
6.1%
특 41
 
5.9%
별 41
 
5.9%
치 41
 
5.9%
도 41
 
5.9%
주 41
 
5.9%
시 41
 
5.9%
동 41
 
5.9%
Other values (26) 230
33.3%
Common
ValueCountFrequency (%)
165
40.6%
1 47
 
11.6%
- 36
 
8.9%
2 32
 
7.9%
3 28
 
6.9%
8 18
 
4.4%
4 18
 
4.4%
6 16
 
3.9%
9 13
 
3.2%
5 13
 
3.2%
Other values (2) 20
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 691
63.0%
ASCII 406
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
40.6%
1 47
 
11.6%
- 36
 
8.9%
2 32
 
7.9%
3 28
 
6.9%
8 18
 
4.4%
4 18
 
4.4%
6 16
 
3.9%
9 13
 
3.2%
5 13
 
3.2%
Other values (2) 20
 
4.9%
Hangul
ValueCountFrequency (%)
전 83
 
12.0%
자 49
 
7.1%
북 42
 
6.1%
특 41
 
5.9%
별 41
 
5.9%
치 41
 
5.9%
도 41
 
5.9%
주 41
 
5.9%
시 41
 
5.9%
동 41
 
5.9%
Other values (26) 230
33.3%

위도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.830908
Minimum35.788308
Maximum35.874402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size497.0 B
2024-03-14T18:34:53.217743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.788308
5-th percentile35.795077
Q135.812734
median35.828871
Q335.848854
95-th percentile35.871796
Maximum35.874402
Range0.08609361
Interquartile range (IQR)0.03612086

Descriptive statistics

Standard deviation0.02462373
Coefficient of variation (CV)0.00068722037
Kurtosis-0.88128465
Mean35.830908
Median Absolute Deviation (MAD)0.01649116
Skewness0.29756092
Sum1469.0672
Variance0.00060632807
MonotonicityNot monotonic
2024-03-14T18:34:53.457839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
35.86154545 1
 
2.4%
35.80694364 1
 
2.4%
35.87440204 1
 
2.4%
35.8660363 1
 
2.4%
35.80593014 1
 
2.4%
35.81339386 1
 
2.4%
35.87102921 1
 
2.4%
35.8321512 1
 
2.4%
35.795077 1
 
2.4%
35.81925274 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
35.78830843 1
2.4%
35.78919679 1
2.4%
35.795077 1
2.4%
35.80002105 1
2.4%
35.80379054 1
2.4%
35.80593014 1
2.4%
35.80694364 1
2.4%
35.80774938 1
2.4%
35.81160156 1
2.4%
35.81237954 1
2.4%
ValueCountFrequency (%)
35.87440204 1
2.4%
35.87328642 1
2.4%
35.87179632 1
2.4%
35.87102921 1
2.4%
35.8660363 1
2.4%
35.86491473 1
2.4%
35.86482527 1
2.4%
35.86279147 1
2.4%
35.86154545 1
2.4%
35.85446747 1
2.4%

경도
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12616
Minimum127.07466
Maximum127.16877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size497.0 B
2024-03-14T18:34:53.688725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.07466
5-th percentile127.07616
Q1127.11641
median127.12309
Q3127.13626
95-th percentile127.16361
Maximum127.16877
Range0.0941107
Interquartile range (IQR)0.0198551

Descriptive statistics

Standard deviation0.021992233
Coefficient of variation (CV)0.00017299534
Kurtosis0.658384
Mean127.12616
Median Absolute Deviation (MAD)0.0084338
Skewness-0.30457918
Sum5212.1725
Variance0.00048365833
MonotonicityNot monotonic
2024-03-14T18:34:53.925574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
127.1149377 1
 
2.4%
127.1163265 1
 
2.4%
127.1298461 1
 
2.4%
127.1212137 1
 
2.4%
127.1207454 1
 
2.4%
127.10238 1
 
2.4%
127.1362623 1
 
2.4%
127.1028548 1
 
2.4%
127.1321811 1
 
2.4%
127.1183272 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
127.0746575 1
2.4%
127.0754931 1
2.4%
127.0761584 1
2.4%
127.10238 1
2.4%
127.1028548 1
2.4%
127.1114225 1
2.4%
127.1129002 1
2.4%
127.1149377 1
2.4%
127.1155947 1
2.4%
127.1163265 1
2.4%
ValueCountFrequency (%)
127.1687682 1
2.4%
127.1653043 1
2.4%
127.163605 1
2.4%
127.1575322 1
2.4%
127.155094 1
2.4%
127.1530501 1
2.4%
127.1520961 1
2.4%
127.1492588 1
2.4%
127.1459333 1
2.4%
127.1407278 1
2.4%

소재지전화번호
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-14T18:34:54.722335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters492
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

Unique41 ?
Unique (%)100.0%

Sample

1st row063-251-1015
2nd row063-227-8575
3rd row063-901-6002
4th row063-281-0075
5th row063-275-7585
ValueCountFrequency (%)
063-251-1015 1
 
2.4%
063-273-5575 1
 
2.4%
063-251-7975 1
 
2.4%
063-275-7979 1
 
2.4%
063-226-3333 1
 
2.4%
063-227-8275 1
 
2.4%
063-276-3939 1
 
2.4%
063-255-0630 1
 
2.4%
063-902-7975 1
 
2.4%
063-245-7975 1
 
2.4%
Other values (31) 31
75.6%
2024-03-14T18:34:55.965393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 82
16.7%
0 67
13.6%
2 66
13.4%
3 58
11.8%
6 56
11.4%
7 55
11.2%
5 42
8.5%
1 19
 
3.9%
4 17
 
3.5%
9 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 410
83.3%
Dash Punctuation 82
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 67
16.3%
2 66
16.1%
3 58
14.1%
6 56
13.7%
7 55
13.4%
5 42
10.2%
1 19
 
4.6%
4 17
 
4.1%
9 16
 
3.9%
8 14
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 492
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 82
16.7%
0 67
13.6%
2 66
13.4%
3 58
11.8%
6 56
11.4%
7 55
11.2%
5 42
8.5%
1 19
 
3.9%
4 17
 
3.5%
9 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 492
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 82
16.7%
0 67
13.6%
2 66
13.4%
3 58
11.8%
6 56
11.4%
7 55
11.2%
5 42
8.5%
1 19
 
3.9%
4 17
 
3.5%
9 16
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size456.0 B
2023-11-14
41 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-14
2nd row2023-11-14
3rd row2023-11-14
4th row2023-11-14
5th row2023-11-14

Common Values

ValueCountFrequency (%)
2023-11-14 41
100.0%

Length

2024-03-14T18:34:56.185022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:34:56.350499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-14 41
100.0%

Interactions

2024-03-14T18:34:46.361489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:34:45.907598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:34:46.498859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:34:46.127314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T18:34:56.691647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대행업소명도로명주소지번주소위도경도소재지전화번호
대행업소명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.0001.000
위도1.0001.0001.0001.0000.4621.000
경도1.0001.0001.0000.4621.0001.000
소재지전화번호1.0001.0001.0001.0001.0001.000
2024-03-14T18:34:56.956559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.000-0.028
경도-0.0281.000

Missing values

2024-03-14T18:34:46.680635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T18:34:46.881077image/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

대행업소명도로명주소지번주소위도경도소재지전화번호데이터기준일자
021세기종합동물병원전북특별자치도 전주시 덕진구 시천로 26전북특별자치도 전주시 덕진구 송천동1가 626-4235.861545127.114938063-251-10152023-11-14
1MVP동물병원전북특별자치도 전주시 완산구 세내로 285전북특별자치도 전주시 완산구 효자동3가 1542-135.815549127.111423063-227-85752023-11-14
2개린이동물병원전북특별자치도 전주시 완산구 서원로 168전북특별자치도 전주시 완산구 효자동3가 37-7135.813276127.1129063-901-60022023-11-14
3늘푸른동물병원전북특별자치도 전주시 완산구 충경로 11전북특별자치도 전주시 완산구 다가동3가 24-935.816923127.140728063-281-00752023-11-14
4닥터펫동물병원전북특별자치도 전주시 완산구 백제대로 378전북특별자치도 전주시 완산구 서신동 산 997-835.826873127.123047063-275-75852023-11-14
5데이지동물병원전북특별자치도 전주시 완산구 거마평로 170전북특별자치도 전주시 완산구 효자동1가 38835.807749127.116407063-225-75882023-11-14
6동부동물병원전북특별자치도 전주시 완산구 기린대로 139전북특별자치도 전주시 완산구 경원동3가 3-1035.820985127.152096063-231-24552023-11-14
7마루동물병원전북특별자치도 전주시 완산구 감나무3길 4전북특별자치도 전주시 완산구 서신동 780-435.830814127.122387063-276-75002023-11-14
8메이동물메디컬센터전북특별자치도 전주시 완산구 백제대로 218전북특별자치도 전주시 완산구 중화산동2가 142-1135.81238127.123614063-285-79752023-11-14
9모래내동물병원전북특별자치도 전주시 덕진구 안덕원로 165전북특별자치도 전주시 덕진구 인후동2가 234-135.833926127.145933063-274-75002023-11-14
대행업소명도로명주소지번주소위도경도소재지전화번호데이터기준일자
31펫동물병원전북특별자치도 전주시 완산구 용머리로 57전북특별자치도 전주시 완산구 효자동1가 435-335.806944127.116326063-221-75822023-11-14
32푸른 동물병원전북특별자치도 전주시 덕진구 쪽구름로 71-2전북특별자치도 전주시 덕진구 반월동 248-735.871796127.076158063-211-26622023-11-14
33푸른하늘동물병원전북특별자치도 전주시 완산구 모악로 4704전북특별자치도 전주시 완산구 평화동2가 299-135.789197127.131523063-222-41192023-11-14
34프렌즈동물병원전북특별자치도 전주시 완산구 거마평로 86전북특별자치도 전주시 완산구 삼천동1가 592-135.800021127.117062063-227-49752023-11-14
35하나동물병원전북특별자치도 전주시 덕진구 송천중앙로 17전북특별자치도 전주시 덕진구 덕진동2가 167-15635.848854127.118559063-253-56772023-11-14
36하루동물병원전북특별자치도 전주시 완산구 모악로 4692전북특별자치도 전주시 완산구 평화동2가 302-335.788308127.130931063-232-59002023-11-14
37하트동물병원전북특별자치도 전주시 덕진구 두간1길 5전북특별자치도 전주시 덕진구 송천동1가 812-335.864825127.121283063-276-76752023-11-14
38행복한동물병원전북특별자치도 전주시 덕진구 건산로 243전북특별자치도 전주시 덕진구 인후동1가 806-635.834823127.163605063-244-00902023-11-14
39효자동물병원전북특별자치도 전주시 완산구 백제대로 121전북특별자치도 전주시 완산구 효자동1가 563-835.803791127.123758063-224-66722023-11-14
40힐링동물병원전북특별자치도 전주시 덕진구 송천중앙로 177전북특별자치도 전주시 덕진구 송천동1가 486-1635.862791127.121314063-272-85752023-11-14