Overview

Dataset statistics

Number of variables13
Number of observations288
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.7 KiB
Average record size in memory105.5 B

Variable types

DateTime3
Text2
Categorical7
Numeric1

Dataset

Description인천광역시 미추홀구 길고양이 중성화(TNR) 관리내역에 대한 데이터로 포획일시, 포획장소, 품종, 색상, 성별, 나이, TNR병원, TNR일시 등의 정보를 제공합니다.더 자세한 사항은 국가동물보호정보시스템(www.animal.go.kr)에서 조회하실 수 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15117535&srcSe=7661IVAWM27C61E190

Alerts

축종 has constant value ""Constant
품종 has constant value ""Constant
중성화(TNR) has constant value ""Constant
색상 is highly overall correlated with 중성화(TNR)병원High correlation
중성화(TNR)병원 is highly overall correlated with 색상 and 1 other fieldsHigh correlation
나이 is highly overall correlated with 중성화(TNR)병원High correlation

Reproduction

Analysis started2024-03-18 03:35:34.825598
Analysis finished2024-03-18 03:35:37.023595
Duration2.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct201
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-03-02 10:00:00
Maximum2023-06-29 14:00:00
2024-03-18T12:35:37.106315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:37.229247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct140
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-18T12:35:37.447566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.871528
Min length4

Characters and Unicode

Total characters3131
Distinct characters145
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

Unique77 ?
Unique (%)26.7%

Sample

1st row재넘이길 9번길 48
2nd row토금중로 29번길 11
3rd row석정로 140번길 8-1
4th row석정로 140번길 8-1
5th row아암대로 253번길 28
ValueCountFrequency (%)
미추홀구 21
 
2.9%
경원대로 18
 
2.5%
석정로 18
 
2.5%
수봉로 15
 
2.1%
경인로 14
 
1.9%
도화동 14
 
1.9%
미추홀대로 14
 
1.9%
33 12
 
1.7%
용정공원로 12
 
1.7%
인하로 11
 
1.5%
Other values (228) 574
79.4%
2024-03-18T12:35:37.802429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
443
 
14.1%
1 204
 
6.5%
181
 
5.8%
3 137
 
4.4%
136
 
4.3%
2 124
 
4.0%
4 113
 
3.6%
109
 
3.5%
- 106
 
3.4%
8 99
 
3.2%
Other values (135) 1479
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1563
49.9%
Decimal Number 998
31.9%
Space Separator 443
 
14.1%
Dash Punctuation 106
 
3.4%
Uppercase Letter 13
 
0.4%
Lowercase Letter 6
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
181
 
11.6%
136
 
8.7%
109
 
7.0%
64
 
4.1%
45
 
2.9%
45
 
2.9%
43
 
2.8%
43
 
2.8%
42
 
2.7%
40
 
2.6%
Other values (111) 815
52.1%
Decimal Number
ValueCountFrequency (%)
1 204
20.4%
3 137
13.7%
2 124
12.4%
4 113
11.3%
8 99
9.9%
6 87
8.7%
5 83
8.3%
9 62
 
6.2%
7 58
 
5.8%
0 31
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
C 4
30.8%
I 4
30.8%
A 3
23.1%
P 1
 
7.7%
T 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
g 1
16.7%
k 1
16.7%
i 1
16.7%
c 1
16.7%
Space Separator
ValueCountFrequency (%)
443
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1563
49.9%
Common 1549
49.5%
Latin 19
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
181
 
11.6%
136
 
8.7%
109
 
7.0%
64
 
4.1%
45
 
2.9%
45
 
2.9%
43
 
2.8%
43
 
2.8%
42
 
2.7%
40
 
2.6%
Other values (111) 815
52.1%
Common
ValueCountFrequency (%)
443
28.6%
1 204
13.2%
3 137
 
8.8%
2 124
 
8.0%
4 113
 
7.3%
- 106
 
6.8%
8 99
 
6.4%
6 87
 
5.6%
5 83
 
5.4%
9 62
 
4.0%
Other values (4) 91
 
5.9%
Latin
ValueCountFrequency (%)
C 4
21.1%
I 4
21.1%
A 3
15.8%
s 2
10.5%
g 1
 
5.3%
k 1
 
5.3%
P 1
 
5.3%
T 1
 
5.3%
i 1
 
5.3%
c 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1568
50.1%
Hangul 1563
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
443
28.3%
1 204
13.0%
3 137
 
8.7%
2 124
 
7.9%
4 113
 
7.2%
- 106
 
6.8%
8 99
 
6.3%
6 87
 
5.5%
5 83
 
5.3%
9 62
 
4.0%
Other values (14) 110
 
7.0%
Hangul
ValueCountFrequency (%)
181
 
11.6%
136
 
8.7%
109
 
7.0%
64
 
4.1%
45
 
2.9%
45
 
2.9%
43
 
2.8%
43
 
2.8%
42
 
2.7%
40
 
2.6%
Other values (111) 815
52.1%

축종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
길고양이
288 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
길고양이 288
100.0%

Length

2024-03-18T12:35:37.935588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:38.034829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
길고양이 288
100.0%

품종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
코숏
288 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
코숏 288
100.0%

Length

2024-03-18T12:35:38.131012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:38.222381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
코숏 288
100.0%

색상
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
흰.회
48 
고등어
36 
흰.노
35 
흰.검
32 
흰.검.갈
30 
Other values (23)
107 

Length

Max length10
Median length3
Mean length3.09375
Min length2

Unique

Unique9 ?
Unique (%)3.1%

Sample

1st row흰.노
2nd row흰.회
3rd row흰.검.갈
4th row흰.검
5th row흰.회

Common Values

ValueCountFrequency (%)
흰.회 48
16.7%
고등어 36
12.5%
흰.노 35
12.2%
흰.검 32
11.1%
흰.검.갈 30
10.4%
치즈 23
8.0%
턱시도 16
 
5.6%
삼색이 8
 
2.8%
검.갈 8
 
2.8%
검정 7
 
2.4%
Other values (18) 45
15.6%

Length

2024-03-18T12:35:38.320433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
흰.회 48
16.6%
고등어 36
12.5%
흰.노 35
12.1%
흰.검 32
11.1%
흰.검.갈 31
10.7%
치즈 23
8.0%
턱시도 16
 
5.5%
삼색이 8
 
2.8%
검.갈 8
 
2.8%
검정 7
 
2.4%
Other values (18) 45
15.6%

성별
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
수컷
147 
암컷
141 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수컷
2nd row암컷
3rd row암컷
4th row수컷
5th row수컷

Common Values

ValueCountFrequency (%)
수컷 147
51.0%
암컷 141
49.0%

Length

2024-03-18T12:35:38.431371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:38.515536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수컷 147
51.0%
암컷 141
49.0%

체중
Real number (ℝ)

Distinct120
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6511458
Minimum2.09
Maximum6.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.7 KiB
2024-03-18T12:35:38.625932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.09
5-th percentile2.5
Q12.98
median3.5
Q34.2
95-th percentile5.265
Maximum6.42
Range4.33
Interquartile range (IQR)1.22

Descriptive statistics

Standard deviation0.89524513
Coefficient of variation (CV)0.24519566
Kurtosis-0.13874611
Mean3.6511458
Median Absolute Deviation (MAD)0.62
Skewness0.64511109
Sum1051.53
Variance0.80146384
MonotonicityNot monotonic
2024-03-18T12:35:38.731498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.1 10
 
3.5%
2.5 10
 
3.5%
3.2 8
 
2.8%
2.7 7
 
2.4%
3.6 7
 
2.4%
4.1 7
 
2.4%
3.7 6
 
2.1%
3.8 6
 
2.1%
3.4 6
 
2.1%
4.12 5
 
1.7%
Other values (110) 216
75.0%
ValueCountFrequency (%)
2.09 1
0.3%
2.1 1
0.3%
2.26 1
0.3%
2.3 2
0.7%
2.32 1
0.3%
2.36 1
0.3%
2.4 2
0.7%
2.42 2
0.7%
2.46 2
0.7%
2.48 1
0.3%
ValueCountFrequency (%)
6.42 1
 
0.3%
6.36 1
 
0.3%
6.1 2
0.7%
5.82 1
 
0.3%
5.8 1
 
0.3%
5.5 2
0.7%
5.4 3
1.0%
5.38 2
0.7%
5.3 2
0.7%
5.2 2
0.7%

나이
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
1살추정
89 
3살추정
76 
2살추정
72 
7개월추정
10 
6개월추정
 
8
Other values (16)
33 

Length

Max length6
Median length4
Mean length4.1701389
Min length2

Unique

Unique6 ?
Unique (%)2.1%

Sample

1st row2살추정
2nd row3살추정
3rd row1살추정
4th row2살추정
5th row2살추정

Common Values

ValueCountFrequency (%)
1살추정 89
30.9%
3살추정 76
26.4%
2살추정 72
25.0%
7개월추정 10
 
3.5%
6개월추정 8
 
2.8%
1살 추정 5
 
1.7%
4살추정 3
 
1.0%
2살 추정 3
 
1.0%
7개월 추정 3
 
1.0%
3살 추정 3
 
1.0%
Other values (11) 16
 
5.6%

Length

2024-03-18T12:35:38.837384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1살추정 89
29.0%
3살추정 76
24.8%
2살추정 72
23.5%
추정 19
 
6.2%
7개월추정 10
 
3.3%
6개월추정 8
 
2.6%
1살 5
 
1.6%
3살 4
 
1.3%
2살 3
 
1.0%
7개월 3
 
1.0%
Other values (11) 18
 
5.9%

중성화(TNR)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
O
288 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
O 288
100.0%

Length

2024-03-18T12:35:38.931432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:38.996828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
o 288
100.0%

중성화(TNR)병원
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
학익동물병원
174 
펫홈종합동물병원
114 

Length

Max length8
Median length6
Mean length6.7916667
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학익동물병원 174
60.4%
펫홈종합동물병원 114
39.6%

Length

2024-03-18T12:35:39.090574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:35:39.246114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학익동물병원 174
60.4%
펫홈종합동물병원 114
39.6%
Distinct253
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-03-02 14:00:00
Maximum2023-06-29 17:00:00
2024-03-18T12:35:39.354710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:39.472010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct187
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
Minimum2023-03-03 17:00:00
Maximum2023-06-30 16:00:00
2024-03-18T12:35:39.580073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:35:39.688900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct141
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-18T12:35:39.972629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length10.836806
Min length4

Characters and Unicode

Total characters3121
Distinct characters145
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

Unique80 ?
Unique (%)27.8%

Sample

1st row재넘이길 9번길 48
2nd row토금중로 29번길 11
3rd row석정로 140번길 8-1
4th row석정로 140번길 8-1
5th row아암대로 253번길 28
ValueCountFrequency (%)
미추홀구 20
 
2.8%
석정로 18
 
2.5%
경원대로 18
 
2.5%
수봉로 15
 
2.1%
도화동 14
 
1.9%
미추홀대로 14
 
1.9%
경인로 13
 
1.8%
33 12
 
1.7%
용정공원로 12
 
1.7%
인하로 11
 
1.5%
Other values (230) 574
79.6%
2024-03-18T12:35:40.375710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
438
 
14.0%
1 204
 
6.5%
178
 
5.7%
138
 
4.4%
3 137
 
4.4%
2 124
 
4.0%
4 113
 
3.6%
109
 
3.5%
- 106
 
3.4%
8 99
 
3.2%
Other values (135) 1475
47.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1556
49.9%
Decimal Number 998
32.0%
Space Separator 438
 
14.0%
Dash Punctuation 106
 
3.4%
Uppercase Letter 15
 
0.5%
Lowercase Letter 6
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
178
 
11.4%
138
 
8.9%
109
 
7.0%
64
 
4.1%
45
 
2.9%
43
 
2.8%
42
 
2.7%
41
 
2.6%
41
 
2.6%
40
 
2.6%
Other values (111) 815
52.4%
Decimal Number
ValueCountFrequency (%)
1 204
20.4%
3 137
13.7%
2 124
12.4%
4 113
11.3%
8 99
9.9%
6 87
8.7%
5 83
8.3%
9 62
 
6.2%
7 58
 
5.8%
0 31
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
I 5
33.3%
C 5
33.3%
A 3
20.0%
T 1
 
6.7%
P 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
k 1
16.7%
i 1
16.7%
g 1
16.7%
c 1
16.7%
Space Separator
ValueCountFrequency (%)
438
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1556
49.9%
Common 1544
49.5%
Latin 21
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
178
 
11.4%
138
 
8.9%
109
 
7.0%
64
 
4.1%
45
 
2.9%
43
 
2.8%
42
 
2.7%
41
 
2.6%
41
 
2.6%
40
 
2.6%
Other values (111) 815
52.4%
Common
ValueCountFrequency (%)
438
28.4%
1 204
13.2%
3 137
 
8.9%
2 124
 
8.0%
4 113
 
7.3%
- 106
 
6.9%
8 99
 
6.4%
6 87
 
5.6%
5 83
 
5.4%
9 62
 
4.0%
Other values (4) 91
 
5.9%
Latin
ValueCountFrequency (%)
I 5
23.8%
C 5
23.8%
A 3
14.3%
s 2
 
9.5%
k 1
 
4.8%
i 1
 
4.8%
g 1
 
4.8%
T 1
 
4.8%
P 1
 
4.8%
c 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1565
50.1%
Hangul 1556
49.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
438
28.0%
1 204
13.0%
3 137
 
8.8%
2 124
 
7.9%
4 113
 
7.2%
- 106
 
6.8%
8 99
 
6.3%
6 87
 
5.6%
5 83
 
5.3%
9 62
 
4.0%
Other values (14) 112
 
7.2%
Hangul
ValueCountFrequency (%)
178
 
11.4%
138
 
8.9%
109
 
7.0%
64
 
4.1%
45
 
2.9%
43
 
2.8%
42
 
2.7%
41
 
2.6%
41
 
2.6%
40
 
2.6%
Other values (111) 815
52.4%

Interactions

2024-03-18T12:35:36.653712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T12:35:40.461337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
색상성별체중나이중성화(TNR)병원
색상1.0000.6220.1170.5481.000
성별0.6221.0000.5150.0000.000
체중0.1170.5151.0000.5940.147
나이0.5480.0000.5941.0000.592
중성화(TNR)병원1.0000.0000.1470.5921.000
2024-03-18T12:35:40.537247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별나이색상중성화(TNR)병원
성별1.0000.0000.4760.000
나이0.0001.0000.1640.507
색상0.4760.1641.0000.940
중성화(TNR)병원0.0000.5070.9401.000
2024-03-18T12:35:40.825688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중색상성별나이중성화(TNR)병원
체중1.0000.0360.3910.2590.111
색상0.0361.0000.4760.1640.940
성별0.3910.4761.0000.0000.000
나이0.2590.1640.0001.0000.507
중성화(TNR)병원0.1110.9400.0000.5071.000

Missing values

2024-03-18T12:35:36.789579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:35:36.939496image/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

포획일시포획장소축종품종색상성별체중나이중성화(TNR)중성화(TNR)병원중성화(TNR)일시방사일시방사장소
02023-06-29 14:00재넘이길 9번길 48길고양이코숏흰.노수컷4.462살추정O학익동물병원2023-06-29 17:002023-06-30 16:00재넘이길 9번길 48
12023-06-29 13:00토금중로 29번길 11길고양이코숏흰.회암컷2.83살추정O학익동물병원2023-06-29 15:002023-06-30 16:00토금중로 29번길 11
22023-06-28 13:00석정로 140번길 8-1길고양이코숏흰.검.갈암컷3.041살추정O학익동물병원2023-06-28 17:002023-06-30 16:00석정로 140번길 8-1
32023-06-28 13:00석정로 140번길 8-1길고양이코숏흰.검수컷4.42살추정O학익동물병원2023-06-28 16:002023-06-30 16:00석정로 140번길 8-1
42023-06-28 13:00아암대로 253번길 28길고양이코숏흰.회수컷4.12살추정O학익동물병원2023-06-28 15:002023-06-30 16:00아암대로 253번길 28
52023-06-26 10:00도화동 538-52길고양이코숏흰.검.갈암컷3.31살추정O학익동물병원2023-06-26 17:002023-06-28 13:00도화동 538-52
62023-06-26 10:00도화동 538-39길고양이코숏흰.회수컷3.582살추정O학익동물병원2023-06-26 16:002023-06-28 13:00도화동 538-39
72023-06-26 10:00도화동 538-39길고양이코숏노랑수컷4.923살추정O학익동물병원2023-06-26 15:002023-06-28 13:00도화동 538-39
82023-06-23 13:00석정로 140번길 8-1길고양이코숏흰.검.갈암컷2.661살추정O학익동물병원2023-06-23 17:002023-06-27 12:00석정로 140번길 8-1
92023-06-22 15:00신기길 58번길 38길고양이코숏흰.검.갈암컷2.882살추정O학익동물병원2023-06-22 18:002023-06-26 14:00신기길 58번길 38
포획일시포획장소축종품종색상성별체중나이중성화(TNR)중성화(TNR)병원중성화(TNR)일시방사일시방사장소
2782023-03-03 12:00미추홀구 문학길 149길고양이코숏치즈암컷3.82살 추정O펫홈종합동물병원2023-03-03 15:002023-03-06 18:00미추홀구 문학길 149
2792023-03-03 14:00수봉로 169-9 목양교회길고양이코숏삼색고등어암컷3.11살 추정O펫홈종합동물병원2023-03-03 15:002023-03-06 16:00수봉로 169-9 목양교회
2802023-03-02 12:00남주길 125번길 73길고양이코숏턱시도수컷3.41살 추정O펫홈종합동물병원2023-03-03 13:002023-03-04 14:00남주길 125번길 73
2812023-03-04 12:00미추홀대로 614번길 13-34길고양이코숏하얀색,검정색수컷2.67개월 추정O펫홈종합동물병원2023-03-04 15:002023-03-05 15:00미추홀대로 614번길 13-34
2822023-03-02 14:00남주길 125번길길고양이코숏턱시도암컷2.63살 추정O펫홈종합동물병원2023-03-02 16:002023-03-05 14:00남주길 125번길
2832023-03-02 12:00미추홀구 석정로 226 백령면옥길고양이코숏고등어암컷4.33살 추정O펫홈종합동물병원2023-03-02 14:002023-03-05 11:00미추홀구 석정로 226 백령면옥
2842023-03-02 12:00미추홀구 석정로 226 백령면옥길고양이코숏검정색암컷3.68개월 추정O펫홈종합동물병원2023-03-02 14:002023-03-05 11:00미추홀구 석정로 226 백령면옥
2852023-03-03 11:00미추홀구 문학길 149길고양이코숏턱시도수컷5.83살추정O펫홈종합동물병원2023-03-03 14:002023-03-04 19:00미추홀구 문학길 149
2862023-03-03 11:00수봉로 169-9 목양교회길고양이코숏고등어수컷3.71살추정O펫홈종합동물병원2023-03-03 13:002023-03-04 16:00수봉로 169-9 목양교회
2872023-03-02 14:00남주길 125번길길고양이코숏턱시도수컷3.82살추정O펫홈종합동물병원2023-03-02 16:002023-03-03 17:00남주길 125번길