Overview

Dataset statistics

Number of variables13
Number of observations666
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.4 KiB
Average record size in memory108.2 B

Variable types

Numeric3
DateTime3
Text2
Categorical5

Dataset

Description창녕군 길고양이 중성화 실시현황(관리번호, 포획일시, 포획장소, 성별, 색상, 중성화수술일시, 중성화수술병원, 표식방법, 방사일시, 방사장소, 나이, 체중)
Author경상남도 창녕군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15093379

Alerts

표식방법 has constant value ""Constant
연번 is highly overall correlated with 관리번호High correlation
관리번호 is highly overall correlated with 연번High correlation
성별 is highly overall correlated with 색상High correlation
색상 is highly overall correlated with 성별High correlation
연번 has unique valuesUnique
관리번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:54:06.069275
Analysis finished2023-12-10 23:54:08.289429
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct666
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean333.5
Minimum1
Maximum666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T08:54:08.373106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.25
Q1167.25
median333.5
Q3499.75
95-th percentile632.75
Maximum666
Range665
Interquartile range (IQR)332.5

Descriptive statistics

Standard deviation192.40192
Coefficient of variation (CV)0.57691731
Kurtosis-1.2
Mean333.5
Median Absolute Deviation (MAD)166.5
Skewness0
Sum222111
Variance37018.5
MonotonicityStrictly increasing
2023-12-11T08:54:08.551391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
439 1
 
0.2%
441 1
 
0.2%
442 1
 
0.2%
443 1
 
0.2%
444 1
 
0.2%
445 1
 
0.2%
446 1
 
0.2%
447 1
 
0.2%
448 1
 
0.2%
Other values (656) 656
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
666 1
0.2%
665 1
0.2%
664 1
0.2%
663 1
0.2%
662 1
0.2%
661 1
0.2%
660 1
0.2%
659 1
0.2%
658 1
0.2%
657 1
0.2%

관리번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct666
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.485412 × 1014
Minimum4.485412 × 1014
Maximum4.485412 × 1014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T08:54:08.742009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.485412 × 1014
5-th percentile4.485412 × 1014
Q14.485412 × 1014
median4.485412 × 1014
Q34.485412 × 1014
95-th percentile4.485412 × 1014
Maximum4.485412 × 1014
Range946
Interquartile range (IQR)486.5

Descriptive statistics

Standard deviation279.57635
Coefficient of variation (CV)6.2330138 × 10-13
Kurtosis-1.2142765
Mean4.485412 × 1014
Median Absolute Deviation (MAD)243.5
Skewness-0.039681701
Sum2.9872844 × 1017
Variance78162.936
MonotonicityNot monotonic
2023-12-11T08:54:08.906794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
448541202300127 1
 
0.2%
448541202300744 1
 
0.2%
448541202300746 1
 
0.2%
448541202300747 1
 
0.2%
448541202300748 1
 
0.2%
448541202300749 1
 
0.2%
448541202300750 1
 
0.2%
448541202300751 1
 
0.2%
448541202300752 1
 
0.2%
448541202300753 1
 
0.2%
Other values (656) 656
98.5%
ValueCountFrequency (%)
448541202300127 1
0.2%
448541202300128 1
0.2%
448541202300129 1
0.2%
448541202300130 1
0.2%
448541202300131 1
0.2%
448541202300132 1
0.2%
448541202300133 1
0.2%
448541202300134 1
0.2%
448541202300135 1
0.2%
448541202300136 1
0.2%
ValueCountFrequency (%)
448541202301073 1
0.2%
448541202301072 1
0.2%
448541202301071 1
0.2%
448541202301070 1
0.2%
448541202301069 1
0.2%
448541202301065 1
0.2%
448541202301064 1
0.2%
448541202301063 1
0.2%
448541202301062 1
0.2%
448541202301061 1
0.2%

포획일시
Date

Distinct116
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2023-02-07 10:00:00
Maximum2023-06-05 08:00:00
2023-12-11T08:54:09.067901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:09.228720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

포획장소
Text

Distinct92
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T08:54:09.534876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.4834835
Min length6

Characters and Unicode

Total characters4318
Distinct characters112
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

Unique0 ?
Unique (%)0.0%

Sample

1st row성산면 후천
2nd row성산면 후천
3rd row성산면 후천
4th row성산면 후천
5th row성산면 후천
ValueCountFrequency (%)
남지읍 118
 
8.9%
창녕읍 90
 
6.8%
대합면 77
 
5.8%
영산면 59
 
4.4%
대지면 53
 
4.0%
계성면 51
 
3.8%
도천면 41
 
3.1%
부곡면 40
 
3.0%
이방면 37
 
2.8%
유어면 27
 
2.0%
Other values (93) 739
55.5%
2023-12-11T08:54:09.962564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
666
 
15.4%
면 458
 
10.6%
읍 208
 
4.8%
지 185
 
4.3%
산 163
 
3.8%
대 156
 
3.6%
남 140
 
3.2%
창 123
 
2.8%
마 118
 
2.7%
리 115
 
2.7%
Other values (102) 1986
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3652
84.6%
Space Separator 666
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 458
 
12.5%
읍 208
 
5.7%
지 185
 
5.1%
산 163
 
4.5%
대 156
 
4.3%
남 140
 
3.8%
창 123
 
3.4%
마 118
 
3.2%
리 115
 
3.1%
을 98
 
2.7%
Other values (101) 1888
51.7%
Space Separator
ValueCountFrequency (%)
666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3652
84.6%
Common 666
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 458
 
12.5%
읍 208
 
5.7%
지 185
 
5.1%
산 163
 
4.5%
대 156
 
4.3%
남 140
 
3.8%
창 123
 
3.4%
마 118
 
3.2%
리 115
 
3.1%
을 98
 
2.7%
Other values (101) 1888
51.7%
Common
ValueCountFrequency (%)
666
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3652
84.6%
ASCII 666
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
666
100.0%
Hangul
ValueCountFrequency (%)
면 458
 
12.5%
읍 208
 
5.7%
지 185
 
5.1%
산 163
 
4.5%
대 156
 
4.3%
남 140
 
3.8%
창 123
 
3.4%
마 118
 
3.2%
리 115
 
3.1%
을 98
 
2.7%
Other values (101) 1888
51.7%

성별
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
수컷
359 
암컷
307 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수컷 359
53.9%
암컷 307
46.1%

Length

2023-12-11T08:54:10.110570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:10.228026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수컷 359
53.9%
암컷 307
46.1%

색상
Categorical

HIGH CORRELATION 

Distinct22
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
노랑+흰색
128 
흰색+노랑+검정
124 
검정+흰색
100 
회색+검정줄무늬
90 
노랑
69 
Other values (17)
155 

Length

Max length11
Median length8
Mean length5.454955
Min length2

Unique

Unique6 ?
Unique (%)0.9%

Sample

1st row검정+흰색
2nd row검정+흰색
3rd row회색+검정줄무늬
4th row흰색+노랑
5th row회색+검정줄무늬

Common Values

ValueCountFrequency (%)
노랑+흰색 128
19.2%
흰색+노랑+검정 124
18.6%
검정+흰색 100
15.0%
회색+검정줄무늬 90
13.5%
노랑 69
10.4%
흰색+회색 32
 
4.8%
흰색+노랑 31
 
4.7%
검정 31
 
4.7%
흰색+검정 17
 
2.6%
흰색 15
 
2.3%
Other values (12) 29
 
4.4%

Length

2023-12-11T08:54:10.370098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노랑+흰색 128
19.2%
흰색+노랑+검정 124
18.6%
검정+흰색 100
15.0%
회색+검정줄무늬 90
13.5%
노랑 69
10.4%
흰색+회색 32
 
4.8%
흰색+노랑 31
 
4.7%
검정 31
 
4.7%
흰색+검정 17
 
2.6%
흰색 15
 
2.3%
Other values (12) 29
 
4.4%

중성화수술일시
Date

Distinct109
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2023-02-07 12:00:00
Maximum2023-06-05 10:00:00
2023-12-11T08:54:10.538089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:10.667035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

중성화수술병원
Categorical

Distinct4
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
창생동물병원
168 
위너동물병원
167 
창녕동물병원
167 
광진동물병원
164 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
창생동물병원 168
25.2%
위너동물병원 167
25.1%
창녕동물병원 167
25.1%
광진동물병원 164
24.6%

Length

2023-12-11T08:54:10.798797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:10.902932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
창생동물병원 168
25.2%
위너동물병원 167
25.1%
창녕동물병원 167
25.1%
광진동물병원 164
24.6%

표식방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
좌측귀 절제
666 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row좌측귀 절제
2nd row좌측귀 절제
3rd row좌측귀 절제
4th row좌측귀 절제
5th row좌측귀 절제

Common Values

ValueCountFrequency (%)
좌측귀 절제 666
100.0%

Length

2023-12-11T08:54:11.033705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:11.136756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
좌측귀 666
50.0%
절제 666
50.0%

방사일시
Date

Distinct120
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2023-02-11 11:00:00
Maximum2023-06-08 12:00:00
2023-12-11T08:54:11.246173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:11.406327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방사장소
Text

Distinct92
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T08:54:11.674963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length6.4834835
Min length6

Characters and Unicode

Total characters4318
Distinct characters112
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

Unique0 ?
Unique (%)0.0%

Sample

1st row성산면 후천
2nd row성산면 후천
3rd row성산면 후천
4th row성산면 후천
5th row성산면 후천
ValueCountFrequency (%)
남지읍 118
 
8.9%
창녕읍 90
 
6.8%
대합면 77
 
5.8%
영산면 59
 
4.4%
대지면 53
 
4.0%
계성면 51
 
3.8%
도천면 41
 
3.1%
부곡면 40
 
3.0%
이방면 37
 
2.8%
유어면 27
 
2.0%
Other values (93) 739
55.5%
2023-12-11T08:54:12.122157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
666
 
15.4%
면 458
 
10.6%
읍 208
 
4.8%
지 185
 
4.3%
산 163
 
3.8%
대 156
 
3.6%
남 140
 
3.2%
창 123
 
2.8%
마 118
 
2.7%
리 115
 
2.7%
Other values (102) 1986
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3652
84.6%
Space Separator 666
 
15.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 458
 
12.5%
읍 208
 
5.7%
지 185
 
5.1%
산 163
 
4.5%
대 156
 
4.3%
남 140
 
3.8%
창 123
 
3.4%
마 118
 
3.2%
리 115
 
3.1%
을 98
 
2.7%
Other values (101) 1888
51.7%
Space Separator
ValueCountFrequency (%)
666
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3652
84.6%
Common 666
 
15.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 458
 
12.5%
읍 208
 
5.7%
지 185
 
5.1%
산 163
 
4.5%
대 156
 
4.3%
남 140
 
3.8%
창 123
 
3.4%
마 118
 
3.2%
리 115
 
3.1%
을 98
 
2.7%
Other values (101) 1888
51.7%
Common
ValueCountFrequency (%)
666
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3652
84.6%
ASCII 666
 
15.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
666
100.0%
Hangul
ValueCountFrequency (%)
면 458
 
12.5%
읍 208
 
5.7%
지 185
 
5.1%
산 163
 
4.5%
대 156
 
4.3%
남 140
 
3.8%
창 123
 
3.4%
마 118
 
3.2%
리 115
 
3.1%
을 98
 
2.7%
Other values (101) 1888
51.7%

나이
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2
357 
1
156 
3
133 
4
 
19
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row2
2nd row3
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 357
53.6%
1 156
23.4%
3 133
 
20.0%
4 19
 
2.9%
5 1
 
0.2%

Length

2023-12-11T08:54:12.255258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:12.358114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 357
53.6%
1 156
23.4%
3 133
 
20.0%
4 19
 
2.9%
5 1
 
0.2%

체중
Real number (ℝ)

Distinct42
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5040541
Minimum2
Maximum6.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T08:54:12.537629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q12.8
median3.4
Q34.1
95-th percentile5.075
Maximum6.7
Range4.7
Interquartile range (IQR)1.3

Descriptive statistics

Standard deviation0.90427477
Coefficient of variation (CV)0.2580653
Kurtosis-0.21355549
Mean3.5040541
Median Absolute Deviation (MAD)0.6
Skewness0.49702786
Sum2333.7
Variance0.81771286
MonotonicityNot monotonic
2023-12-11T08:54:12.691997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
3.8 32
 
4.8%
2.8 32
 
4.8%
3.2 31
 
4.7%
3.5 31
 
4.7%
3.0 30
 
4.5%
3.7 29
 
4.4%
2.6 28
 
4.2%
4.0 26
 
3.9%
3.1 25
 
3.8%
2.5 25
 
3.8%
Other values (32) 377
56.6%
ValueCountFrequency (%)
2.0 9
 
1.4%
2.1 20
3.0%
2.2 15
2.3%
2.3 16
2.4%
2.4 21
3.2%
2.5 25
3.8%
2.6 28
4.2%
2.7 19
2.9%
2.8 32
4.8%
2.9 22
3.3%
ValueCountFrequency (%)
6.7 1
 
0.2%
6.2 1
 
0.2%
6.1 2
 
0.3%
6.0 2
 
0.3%
5.8 3
0.5%
5.7 5
0.8%
5.5 1
 
0.2%
5.4 5
0.8%
5.3 3
0.5%
5.2 6
0.9%

Interactions

2023-12-11T08:54:07.653895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:06.713789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.351219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.756578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.135425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.453074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.860928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.249421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:07.555301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:54:12.815577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호포획장소성별색상중성화수술병원방사장소나이체중
연번1.0000.9900.9920.0000.3050.2810.9920.4890.174
관리번호0.9901.0000.9930.0000.3180.2960.9930.4760.051
포획장소0.9920.9931.0000.1760.5760.9801.0000.6220.428
성별0.0000.0000.1761.0000.6690.1490.1760.2630.583
색상0.3050.3180.5760.6691.0000.1290.5760.0000.114
중성화수술병원0.2810.2960.9800.1490.1291.0000.9800.2860.171
방사장소0.9920.9931.0000.1760.5760.9801.0000.6220.428
나이0.4890.4760.6220.2630.0000.2860.6221.0000.710
체중0.1740.0510.4280.5830.1140.1710.4280.7101.000
2023-12-11T08:54:12.956973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별중성화수술병원나이색상
성별1.0000.0990.3200.530
중성화수술병원0.0991.0000.2360.068
나이0.3200.2361.0000.000
색상0.5300.0680.0001.000
2023-12-11T08:54:13.055710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번관리번호체중성별색상중성화수술병원나이
연번1.0001.0000.0590.0000.1160.1700.223
관리번호1.0001.0000.0590.0000.1210.1800.214
체중0.0590.0591.0000.4480.0410.1020.370
성별0.0000.0000.4481.0000.5300.0990.320
색상0.1160.1210.0410.5301.0000.0680.000
중성화수술병원0.1700.1800.1020.0990.0681.0000.236
나이0.2230.2140.3700.3200.0000.2361.000

Missing values

2023-12-11T08:54:08.019365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:54:08.216563image/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

연번관리번호포획일시포획장소성별색상중성화수술일시중성화수술병원표식방법방사일시방사장소나이체중
014485412023001272023-02-07 10:00:00성산면 후천수컷검정+흰색2023-02-07 12:00:00창생동물병원좌측귀 절제2023-02-11 11:00:00성산면 후천23.7
124485412023001282023-02-07 10:00:00성산면 후천수컷검정+흰색2023-02-07 12:00:00창생동물병원좌측귀 절제2023-02-11 11:00:00성산면 후천36.7
234485412023001292023-02-07 10:00:00성산면 후천암컷회색+검정줄무늬2023-02-07 12:00:00창생동물병원좌측귀 절제2023-02-11 11:00:00성산면 후천13.1
344485412023001302023-02-07 10:00:00성산면 후천수컷흰색+노랑2023-02-08 12:00:00창생동물병원좌측귀 절제2023-02-11 11:00:00성산면 후천13.2
454485412023001312023-02-07 10:00:00성산면 후천암컷회색+검정줄무늬2023-02-08 12:00:00창생동물병원좌측귀 절제2023-02-11 11:00:00성산면 후천12.7
564485412023001322023-02-07 10:00:00성산면 후천암컷흰색+노랑+검정2023-02-08 12:00:00창생동물병원좌측귀 절제2023-02-11 11:00:00성산면 후천13.6
674485412023001332023-02-11 10:00:00고암면 월미수컷노랑+흰색2023-02-11 12:00:00창생동물병원좌측귀 절제2023-02-14 13:00:00고암면 월미15.3
784485412023001342023-02-11 10:00:00고암면 월미암컷회색+검정줄무늬2023-02-11 12:00:00창생동물병원좌측귀 절제2023-02-14 13:00:00고암면 월미12.5
894485412023001352023-02-11 10:00:00고암면 월미수컷노랑2023-02-11 12:00:00창생동물병원좌측귀 절제2023-02-14 13:00:00고암면 월미13.1
9104485412023001362023-02-15 09:00:00남지읍 학계리암컷노랑+흰색2023-02-15 11:00:00창생동물병원좌측귀 절제2023-02-18 12:00:00남지읍 학계리13.5
연번관리번호포획일시포획장소성별색상중성화수술일시중성화수술병원표식방법방사일시방사장소나이체중
6566574485412023010612023-06-04 09:00:00창녕읍 만옥정수컷노랑+흰색2023-06-04 10:00:00창녕동물병원좌측귀 절제2023-06-07 13:00:00창녕읍 만옥정35.8
6576584485412023010622023-06-04 09:00:00창녕읍 만옥정수컷검정+흰색2023-06-04 10:00:00창녕동물병원좌측귀 절제2023-06-07 13:00:00창녕읍 만옥정12.1
6586594485412023010632023-06-04 09:00:00창녕읍 만옥정수컷노랑2023-06-04 10:00:00창녕동물병원좌측귀 절제2023-06-07 13:00:00창녕읍 만옥정23.2
6596604485412023010642023-06-04 09:00:00창녕읍 만옥정암컷노랑2023-06-04 10:00:00창녕동물병원좌측귀 절제2023-06-07 13:00:00창녕읍 만옥정23.4
6606614485412023010652023-06-04 09:00:00창녕읍 만옥정수컷검정+흰색2023-06-04 10:00:00창녕동물병원좌측귀 절제2023-06-07 13:00:00창녕읍 만옥정44.4
6616624485412023010692023-06-05 08:00:00대합면 주매수컷노랑+흰색2023-06-05 10:00:00창생동물병원좌측귀 절제2023-06-08 12:00:00대합면 주매34.3
6626634485412023010702023-06-05 08:00:00대합면 주매암컷흰색+노랑+검정2023-06-05 10:00:00창생동물병원좌측귀 절제2023-06-08 12:00:00대합면 주매23.5
6636644485412023010712023-06-05 08:00:00대합면 주매암컷흰색+노랑+검정2023-06-05 10:00:00창생동물병원좌측귀 절제2023-06-08 12:00:00대합면 주매23.5
6646654485412023010722023-06-05 08:00:00대합면 주매암컷흰색+노랑+검정2023-06-05 10:00:00창생동물병원좌측귀 절제2023-06-08 12:00:00대합면 주매12.4
6656664485412023010732023-06-05 08:00:00대합면 주매암컷흰색+노랑+검정2023-06-05 10:00:00창생동물병원좌측귀 절제2023-06-08 12:00:00대합면 주매34.0