Overview

Dataset statistics

Number of variables6
Number of observations181
Missing cells86
Missing cells (%)7.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory48.7 B

Variable types

Text5
DateTime1

Dataset

Description대구광역시 동물병원 현황_20200518
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15010715&dataSetDetailId=150107152b0997a2f899e&provdMethod=FILE

Alerts

행정동 has 82 (45.3%) missing valuesMissing
소재지 has 4 (2.2%) missing valuesMissing
번호 시군구명 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-04-19 05:39:48.414947
Analysis finished2024-04-19 05:39:48.984400
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호 시군구명
Text

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-19T14:39:49.277290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.961326
Min length4

Characters and Unicode

Total characters1079
Distinct characters21
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

Unique181 ?
Unique (%)100.0%

Sample

1st row1 중구
2nd row2 중구
3rd row3 중구
4th row4 중구
5th row5 중구
ValueCountFrequency (%)
달서구 42
 
11.6%
수성구 41
 
11.3%
북구 30
 
8.3%
동구 19
 
5.2%
달성군 18
 
5.0%
중구 11
 
3.0%
남구 11
 
3.0%
서구 9
 
2.5%
1 1
 
0.3%
125 1
 
0.3%
Other values (179) 179
49.4%
2024-04-19T14:39:49.774390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181
16.8%
163
15.1%
1 121
11.2%
60
 
5.6%
59
 
5.5%
51
 
4.7%
41
 
3.8%
2 38
 
3.5%
7 38
 
3.5%
6 38
 
3.5%
Other values (11) 289
26.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
42.9%
Decimal Number 435
40.3%
Space Separator 181
 
16.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
163
35.2%
60
 
13.0%
59
 
12.7%
51
 
11.0%
41
 
8.9%
30
 
6.5%
19
 
4.1%
18
 
3.9%
11
 
2.4%
11
 
2.4%
Decimal Number
ValueCountFrequency (%)
1 121
27.8%
2 38
 
8.7%
7 38
 
8.7%
6 38
 
8.7%
5 38
 
8.7%
4 38
 
8.7%
3 38
 
8.7%
8 30
 
6.9%
0 28
 
6.4%
9 28
 
6.4%
Space Separator
ValueCountFrequency (%)
181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 616
57.1%
Hangul 463
42.9%

Most frequent character per script

Common
ValueCountFrequency (%)
181
29.4%
1 121
19.6%
2 38
 
6.2%
7 38
 
6.2%
6 38
 
6.2%
5 38
 
6.2%
4 38
 
6.2%
3 38
 
6.2%
8 30
 
4.9%
0 28
 
4.5%
Hangul
ValueCountFrequency (%)
163
35.2%
60
 
13.0%
59
 
12.7%
51
 
11.0%
41
 
8.9%
30
 
6.5%
19
 
4.1%
18
 
3.9%
11
 
2.4%
11
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 616
57.1%
Hangul 463
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
181
29.4%
1 121
19.6%
2 38
 
6.2%
7 38
 
6.2%
6 38
 
6.2%
5 38
 
6.2%
4 38
 
6.2%
3 38
 
6.2%
8 30
 
4.9%
0 28
 
4.5%
Hangul
ValueCountFrequency (%)
163
35.2%
60
 
13.0%
59
 
12.7%
51
 
11.0%
41
 
8.9%
30
 
6.5%
19
 
4.1%
18
 
3.9%
11
 
2.4%
11
 
2.4%

등록번호
Text

UNIQUE 

Distinct181
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-19T14:39:50.001924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length21
Min length21

Characters and Unicode

Total characters3801
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

Unique181 ?
Unique (%)100.0%

Sample

1st row3410000-010-2003-0002
2nd row3410000-010-2005-0002
3rd row3410000-010-2015-0001
4th row3410000-010-1998-0003
5th row3410000-010-2011-0001
ValueCountFrequency (%)
3410000-010-2003-0002 1
 
0.6%
3460000-010-2005-0004 1
 
0.6%
3460000-010-2011-0006 1
 
0.6%
3460000-010-2012-0002 1
 
0.6%
3460000-010-2013-0002 1
 
0.6%
3460000-010-2013-0003 1
 
0.6%
3460000-010-2014-0001 1
 
0.6%
3470000-010-2004-0009 1
 
0.6%
3470000-010-2003-0002 1
 
0.6%
3470000-010-1997-0001 1
 
0.6%
Other values (171) 171
94.5%
2024-04-19T14:39:50.382305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1869
49.2%
- 543
 
14.3%
1 400
 
10.5%
2 246
 
6.5%
3 238
 
6.3%
4 237
 
6.2%
6 62
 
1.6%
5 62
 
1.6%
7 60
 
1.6%
9 50
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3258
85.7%
Dash Punctuation 543
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1869
57.4%
1 400
 
12.3%
2 246
 
7.6%
3 238
 
7.3%
4 237
 
7.3%
6 62
 
1.9%
5 62
 
1.9%
7 60
 
1.8%
9 50
 
1.5%
8 34
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 543
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3801
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1869
49.2%
- 543
 
14.3%
1 400
 
10.5%
2 246
 
6.5%
3 238
 
6.3%
4 237
 
6.2%
6 62
 
1.6%
5 62
 
1.6%
7 60
 
1.6%
9 50
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3801
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1869
49.2%
- 543
 
14.3%
1 400
 
10.5%
2 246
 
6.5%
3 238
 
6.3%
4 237
 
6.2%
6 62
 
1.6%
5 62
 
1.6%
7 60
 
1.6%
9 50
 
1.3%
Distinct179
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-19T14:39:50.620964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length7.2872928
Min length5

Characters and Unicode

Total characters1319
Distinct characters238
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

Unique177 ?
Unique (%)97.8%

Sample

1st row중부동물병원
2nd row동산동물병원
3rd row대구S동물병원
4th row고려애견종합병원
5th row오원석 황금동물병원
ValueCountFrequency (%)
동물병원 21
 
9.9%
삼성동물병원 2
 
0.9%
쿨펫동물병원 2
 
0.9%
죽곡동물병원 1
 
0.5%
헬로우동물병원 1
 
0.5%
에피소드 1
 
0.5%
멘토동물병원 1
 
0.5%
삼일동물병원 1
 
0.5%
온누리동물병원 1
 
0.5%
문종합동물병원 1
 
0.5%
Other values (180) 180
84.9%
2024-04-19T14:39:51.027310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
183
 
13.9%
180
 
13.6%
179
 
13.6%
170
 
12.9%
31
 
2.4%
23
 
1.7%
19
 
1.4%
17
 
1.3%
15
 
1.1%
13
 
1.0%
Other values (228) 489
37.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1251
94.8%
Space Separator 31
 
2.4%
Decimal Number 17
 
1.3%
Lowercase Letter 8
 
0.6%
Uppercase Letter 5
 
0.4%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
183
14.6%
180
14.4%
179
14.3%
170
 
13.6%
23
 
1.8%
19
 
1.5%
17
 
1.4%
15
 
1.2%
13
 
1.0%
11
 
0.9%
Other values (208) 441
35.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
n 2
25.0%
i 1
12.5%
o 1
12.5%
y 1
12.5%
r 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 7
41.2%
4 4
23.5%
1 3
17.6%
5 2
 
11.8%
9 1
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
T 1
20.0%
H 1
20.0%
E 1
20.0%
S 1
20.0%
L 1
20.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1251
94.8%
Common 55
 
4.2%
Latin 13
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
183
14.6%
180
14.4%
179
14.3%
170
 
13.6%
23
 
1.8%
19
 
1.5%
17
 
1.4%
15
 
1.2%
13
 
1.0%
11
 
0.9%
Other values (208) 441
35.3%
Latin
ValueCountFrequency (%)
a 2
15.4%
n 2
15.4%
T 1
7.7%
H 1
7.7%
E 1
7.7%
i 1
7.7%
o 1
7.7%
y 1
7.7%
S 1
7.7%
r 1
7.7%
Common
ValueCountFrequency (%)
31
56.4%
2 7
 
12.7%
4 4
 
7.3%
) 3
 
5.5%
( 3
 
5.5%
1 3
 
5.5%
5 2
 
3.6%
9 1
 
1.8%
& 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1251
94.8%
ASCII 68
 
5.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
183
14.6%
180
14.4%
179
14.3%
170
 
13.6%
23
 
1.8%
19
 
1.5%
17
 
1.4%
15
 
1.2%
13
 
1.0%
11
 
0.9%
Other values (208) 441
35.3%
ASCII
ValueCountFrequency (%)
31
45.6%
2 7
 
10.3%
4 4
 
5.9%
) 3
 
4.4%
( 3
 
4.4%
1 3
 
4.4%
5 2
 
2.9%
a 2
 
2.9%
n 2
 
2.9%
9 1
 
1.5%
Other values (10) 10
 
14.7%

행정동
Text

MISSING 

Distinct73
Distinct (%)73.7%
Missing82
Missing (%)45.3%
Memory size1.5 KiB
2024-04-19T14:39:51.286764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length3.8686869
Min length2

Characters and Unicode

Total characters383
Distinct characters75
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

Unique54 ?
Unique (%)54.5%

Sample

1st row성내1동
2nd row성내2동
3rd row대신동
4th row남산2동
5th row대봉1동
ValueCountFrequency (%)
만촌1동 4
 
4.0%
지산1동 4
 
4.0%
송현1동 3
 
3.0%
상인1동 3
 
3.0%
안심1동 3
 
3.0%
수성4가동 2
 
2.0%
이곡동 2
 
2.0%
감삼동 2
 
2.0%
봉덕3동 2
 
2.0%
수성1가동 2
 
2.0%
Other values (63) 72
72.7%
2024-04-19T14:39:51.674021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
25.6%
1 41
 
10.7%
16
 
4.2%
2 11
 
2.9%
3 10
 
2.6%
9
 
2.3%
8
 
2.1%
6
 
1.6%
6
 
1.6%
6
 
1.6%
Other values (65) 172
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 305
79.6%
Decimal Number 74
 
19.3%
Other Punctuation 4
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
98
32.1%
16
 
5.2%
9
 
3.0%
8
 
2.6%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
5
 
1.6%
Other values (55) 139
45.6%
Decimal Number
ValueCountFrequency (%)
1 41
55.4%
2 11
 
14.9%
3 10
 
13.5%
4 5
 
6.8%
5 2
 
2.7%
6 2
 
2.7%
0 1
 
1.4%
9 1
 
1.4%
7 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 305
79.6%
Common 78
 
20.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
98
32.1%
16
 
5.2%
9
 
3.0%
8
 
2.6%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
5
 
1.6%
Other values (55) 139
45.6%
Common
ValueCountFrequency (%)
1 41
52.6%
2 11
 
14.1%
3 10
 
12.8%
4 5
 
6.4%
. 4
 
5.1%
5 2
 
2.6%
6 2
 
2.6%
0 1
 
1.3%
9 1
 
1.3%
7 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 305
79.6%
ASCII 78
 
20.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
98
32.1%
16
 
5.2%
9
 
3.0%
8
 
2.6%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
6
 
2.0%
5
 
1.6%
Other values (55) 139
45.6%
ASCII
ValueCountFrequency (%)
1 41
52.6%
2 11
 
14.1%
3 10
 
12.8%
4 5
 
6.4%
. 4
 
5.1%
5 2
 
2.6%
6 2
 
2.6%
0 1
 
1.3%
9 1
 
1.3%
7 1
 
1.3%

소재지
Text

MISSING 

Distinct177
Distinct (%)100.0%
Missing4
Missing (%)2.2%
Memory size1.5 KiB
2024-04-19T14:39:51.970469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length24.152542
Min length13

Characters and Unicode

Total characters4275
Distinct characters168
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique177 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 봉산동 53번지 2호
2nd row대구광역시 중구 남성로 1번지 15통 5반 205호
3rd row대구광역시 중구 대신동 305번지 1호 4통 4반 태왕아너스스카이 상가 101호, 102호, 103호
4th row대구광역시 중구 남산동 661번지 1호
5th row대구광역시 중구 대봉동 48번지 13호
ValueCountFrequency (%)
대구광역시 177
 
18.8%
달서구 42
 
4.5%
수성구 37
 
3.9%
1호 31
 
3.3%
북구 30
 
3.2%
동구 19
 
2.0%
달성군 18
 
1.9%
2호 18
 
1.9%
4호 15
 
1.6%
중구 11
 
1.2%
Other values (352) 545
57.8%
2024-04-19T14:39:52.463016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
773
18.1%
338
 
7.9%
1 238
 
5.6%
197
 
4.6%
190
 
4.4%
187
 
4.4%
181
 
4.2%
178
 
4.2%
177
 
4.1%
176
 
4.1%
Other values (158) 1640
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2628
61.5%
Decimal Number 864
 
20.2%
Space Separator 773
 
18.1%
Other Punctuation 4
 
0.1%
Uppercase Letter 3
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
338
12.9%
197
 
7.5%
190
 
7.2%
187
 
7.1%
181
 
6.9%
178
 
6.8%
177
 
6.7%
176
 
6.7%
164
 
6.2%
78
 
3.0%
Other values (140) 762
29.0%
Decimal Number
ValueCountFrequency (%)
1 238
27.5%
2 113
13.1%
5 79
 
9.1%
4 77
 
8.9%
3 72
 
8.3%
0 71
 
8.2%
6 62
 
7.2%
7 51
 
5.9%
8 51
 
5.9%
9 50
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
M 1
33.3%
A 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
50.0%
k 1
50.0%
Space Separator
ValueCountFrequency (%)
773
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2628
61.5%
Common 1642
38.4%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
338
12.9%
197
 
7.5%
190
 
7.2%
187
 
7.1%
181
 
6.9%
178
 
6.8%
177
 
6.7%
176
 
6.7%
164
 
6.2%
78
 
3.0%
Other values (140) 762
29.0%
Common
ValueCountFrequency (%)
773
47.1%
1 238
 
14.5%
2 113
 
6.9%
5 79
 
4.8%
4 77
 
4.7%
3 72
 
4.4%
0 71
 
4.3%
6 62
 
3.8%
7 51
 
3.1%
8 51
 
3.1%
Other values (3) 55
 
3.3%
Latin
ValueCountFrequency (%)
B 1
20.0%
M 1
20.0%
e 1
20.0%
A 1
20.0%
k 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2628
61.5%
ASCII 1647
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
773
46.9%
1 238
 
14.5%
2 113
 
6.9%
5 79
 
4.8%
4 77
 
4.7%
3 72
 
4.4%
0 71
 
4.3%
6 62
 
3.8%
7 51
 
3.1%
8 51
 
3.1%
Other values (8) 60
 
3.6%
Hangul
ValueCountFrequency (%)
338
12.9%
197
 
7.5%
190
 
7.2%
187
 
7.1%
181
 
6.9%
178
 
6.8%
177
 
6.7%
176
 
6.7%
164
 
6.2%
78
 
3.0%
Other values (140) 762
29.0%
Distinct175
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1981-08-24 00:00:00
Maximum2020-05-15 00:00:00
2024-04-19T14:39:52.617202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-19T14:39:52.783317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Missing values

2024-04-19T14:39:48.734175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-19T14:39:48.834382image/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.
2024-04-19T14:39:48.930813image/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

번호 시군구명등록번호업체명행정동소재지신고일자
01 중구3410000-010-2003-0002중부동물병원성내1동대구광역시 중구 봉산동 53번지 2호2003-06-19
12 중구3410000-010-2005-0002동산동물병원성내2동대구광역시 중구 남성로 1번지 15통 5반 205호2005-03-08
23 중구3410000-010-2015-0001대구S동물병원대신동대구광역시 중구 대신동 305번지 1호 4통 4반 태왕아너스스카이 상가 101호, 102호, 103호2015-03-20
34 중구3410000-010-1998-0003고려애견종합병원남산2동대구광역시 중구 남산동 661번지 1호1998-10-09
45 중구3410000-010-2011-0001오원석 황금동물병원대봉1동대구광역시 중구 대봉동 48번지 13호2011-02-15
56 중구3410000-010-2004-0001삼덕종합동물병원삼덕동대구광역시 중구 삼덕동1가 41번지 8호2004-12-02
67 중구3410000-010-1990-0001동인동물병원동인동대구광역시 중구 동인동4가 332번지1990-05-21
78 중구3410000-010-2013-0001대구축산 동물병원<NA>대구광역시 중구 대봉동 715번지 15호2013-07-24
89 중구3410000-010-2017-0001달성공원 동물병원<NA>대구광역시 중구 달성동 294번지 1호 달성공원2017-12-22
910 중구3410000-010-2018-0001원동물병원<NA>대구광역시 중구 대봉동 40번지 135호2018-03-21
번호 시군구명등록번호업체명행정동소재지신고일자
171172 달성군3480000-010-2016-0001테크노연합 동물병원<NA>대구광역시 달성군 유가읍 봉리 583번지 2호2016-11-18
172173 달성군3480000-010-2016-0002119동물병원<NA>대구광역시 달성군 다사읍 매곡리 1551번지 1호 102호2016-12-13
173174 달성군3480000-010-2017-0001서재동물병원<NA>대구광역시 달성군 다사읍 서재리 134번지 1호2017-03-07
174175 달성군3480000-010-2017-0002명곡역 동물병원<NA>대구광역시 달성군 화원읍 명곡리 213번지2017-10-18
175176 달성군3480000-010-2017-0003비슬동물병원<NA>대구광역시 달성군 유가읍 봉리 619번지 테크노폴리스 M스퀘어+2017-10-31
176177 달성군3480000-010-2017-000425시 죽곡동물병원<NA>대구광역시 달성군 다사읍 죽곡리 813번지 204호2017-11-24
177178 달성군3480000-010-2018-0001제이스동물병원<NA>대구광역시 달성군 다사읍 세천리 1566번지 2호 세천삼정그린코아더베스트아파트2단지2018-01-16
178179 달성군3480000-010-2018-0002도담동물병원<NA>대구광역시 달성군 현풍읍 중리 491번지 2호 타임스퀘어2018-04-19
179180 달성군3480000-010-2018-0003대구착한동물병원<NA>대구광역시 달성군 다사읍 서재리 181번지2018-12-13
180181 달성군3480000-010-2019-0001옥포태양동물병원<NA>대구광역시 달성군 옥포읍 교항리 2913번지2019-09-09