Overview

Dataset statistics

Number of variables14
Number of observations668
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory75.8 KiB
Average record size in memory116.2 B

Variable types

Numeric2
Categorical6
DateTime4
Text2

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

관리번호 has constant value ""Constant
표식방법 has constant value ""Constant
데이터생성일 has constant value ""Constant
중성화수술병원 is highly overall correlated with 나이High correlation
나이 is highly overall correlated with 중성화수술병원High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:53:57.387767
Analysis finished2023-12-10 23:53:59.168561
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct668
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334.5
Minimum1
Maximum668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T08:53:59.242670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.35
Q1167.75
median334.5
Q3501.25
95-th percentile634.65
Maximum668
Range667
Interquartile range (IQR)333.5

Descriptive statistics

Standard deviation192.97927
Coefficient of variation (CV)0.57691861
Kurtosis-1.2
Mean334.5
Median Absolute Deviation (MAD)167
Skewness0
Sum223446
Variance37241
MonotonicityStrictly increasing
2023-12-11T08:53:59.421925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
441 1
 
0.1%
443 1
 
0.1%
444 1
 
0.1%
445 1
 
0.1%
446 1
 
0.1%
447 1
 
0.1%
448 1
 
0.1%
449 1
 
0.1%
450 1
 
0.1%
Other values (658) 658
98.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
668 1
0.1%
667 1
0.1%
666 1
0.1%
665 1
0.1%
664 1
0.1%
663 1
0.1%
662 1
0.1%
661 1
0.1%
660 1
0.1%
659 1
0.1%

관리번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
448541000000000
668 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row448541000000000
2nd row448541000000000
3rd row448541000000000
4th row448541000000000
5th row448541000000000

Common Values

ValueCountFrequency (%)
448541000000000 668
100.0%

Length

2023-12-11T08:53:59.595203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:53:59.688545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
448541000000000 668
100.0%

포획일시
Date

Distinct63
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2021-03-30 00:00:00
Maximum2021-09-27 00:00:00
2023-12-11T08:53:59.810780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:59.998662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

포획장소
Text

Distinct56
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T08:54:00.289994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.3128743
Min length5

Characters and Unicode

Total characters4217
Distinct characters84
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 row남지읍 칠현마을
2nd row남지읍 칠현마을
3rd row남지읍 칠현마을
4th row남지읍 칠현마을
5th row남지읍 칠현마을
ValueCountFrequency (%)
도천면 102
 
7.6%
창녕읍 95
 
7.1%
남지읍 65
 
4.9%
대지면 63
 
4.7%
길곡면 57
 
4.3%
부곡면 51
 
3.8%
장마면 49
 
3.7%
일리 38
 
2.8%
고암면 37
 
2.8%
대합면 31
 
2.3%
Other values (59) 748
56.0%
2023-12-11T08:54:00.707212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
668
 
15.8%
면 485
 
11.5%
리 208
 
4.9%
곡 186
 
4.4%
읍 160
 
3.8%
지 134
 
3.2%
도 128
 
3.0%
산 119
 
2.8%
창 118
 
2.8%
녕 108
 
2.6%
Other values (74) 1903
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3549
84.2%
Space Separator 668
 
15.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 485
 
13.7%
리 208
 
5.9%
곡 186
 
5.2%
읍 160
 
4.5%
지 134
 
3.8%
도 128
 
3.6%
산 119
 
3.4%
창 118
 
3.3%
녕 108
 
3.0%
천 106
 
3.0%
Other values (73) 1797
50.6%
Space Separator
ValueCountFrequency (%)
668
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3549
84.2%
Common 668
 
15.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 485
 
13.7%
리 208
 
5.9%
곡 186
 
5.2%
읍 160
 
4.5%
지 134
 
3.8%
도 128
 
3.6%
산 119
 
3.4%
창 118
 
3.3%
녕 108
 
3.0%
천 106
 
3.0%
Other values (73) 1797
50.6%
Common
ValueCountFrequency (%)
668
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3549
84.2%
ASCII 668
 
15.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
668
100.0%
Hangul
ValueCountFrequency (%)
면 485
 
13.7%
리 208
 
5.9%
곡 186
 
5.2%
읍 160
 
4.5%
지 134
 
3.8%
도 128
 
3.6%
산 119
 
3.4%
창 118
 
3.3%
녕 108
 
3.0%
천 106
 
3.0%
Other values (73) 1797
50.6%

성별
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
수컷
358 
암컷
310 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수컷 358
53.6%
암컷 310
46.4%

Length

2023-12-11T08:54:00.848989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:00.977297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수컷 358
53.6%
암컷 310
46.4%

색상
Categorical

Distinct13
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
노랑/흰색
117 
흰/노/검
99 
노랑
98 
검정/흰색
73 
회색/검정줄
67 
Other values (8)
214 

Length

Max length6
Median length5
Mean length4.4491018
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노랑/흰색
2nd row흰색/노랑
3rd row검정
4th row검정/흰색
5th row검정/흰색

Common Values

ValueCountFrequency (%)
노랑/흰색 117
17.5%
흰/노/검 99
14.8%
노랑 98
14.7%
검정/흰색 73
10.9%
회색/검정줄 67
10.0%
흰색/노랑 47
7.0%
흰색/회색 41
 
6.1%
흰색/검정 37
 
5.5%
검정 32
 
4.8%
노랑/검정 21
 
3.1%
Other values (3) 36
 
5.4%

Length

2023-12-11T08:54:01.136305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노랑/흰색 117
17.5%
흰/노/검 99
14.8%
노랑 98
14.7%
검정/흰색 73
10.9%
회색/검정줄 67
10.0%
흰색/노랑 47
7.0%
흰색/회색 41
 
6.1%
흰색/검정 37
 
5.5%
검정 32
 
4.8%
노랑/검정 21
 
3.1%
Other values (3) 36
 
5.4%

중성화수술일시
Date

Distinct63
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2021-03-30 00:00:00
Maximum2021-09-27 00:00:00
2023-12-11T08:54:01.265307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:01.404957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

중성화수술병원
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
대호가축병원
265 
창녕동물병원
207 
광진동물병원
196 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대호가축병원 265
39.7%
창녕동물병원 207
31.0%
광진동물병원 196
29.3%

Length

2023-12-11T08:54:01.567001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:01.663522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대호가축병원 265
39.7%
창녕동물병원 207
31.0%
광진동물병원 196
29.3%

표식방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
좌측귀 절제
668 

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 668
100.0%

Length

2023-12-11T08:54:01.781472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:01.880796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
좌측귀 668
50.0%
절제 668
50.0%

방사일시
Date

Distinct63
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2021-04-02 00:00:00
Maximum2021-09-30 00:00:00
2023-12-11T08:54:01.980336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:02.129152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방사장소
Text

Distinct56
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2023-12-11T08:54:02.418051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.7350299
Min length6

Characters and Unicode

Total characters4499
Distinct characters94
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row남지읍 칠현마을
2nd row남지읍 칠현마을
3rd row남지읍 칠현마을
4th row남지읍 칠현마을
5th row남지읍 칠현마을
ValueCountFrequency (%)
도천면 102
 
7.4%
창녕읍 94
 
6.8%
부곡면 74
 
5.4%
남지읍 65
 
4.7%
길곡면 57
 
4.1%
대합면 54
 
3.9%
장마면 49
 
3.6%
대지면 40
 
2.9%
고암면 37
 
2.7%
시장 30
 
2.2%
Other values (64) 776
56.3%
2023-12-11T08:54:02.872380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
 
15.8%
면 508
 
11.3%
리 198
 
4.4%
곡 186
 
4.1%
읍 160
 
3.6%
도 128
 
2.8%
산 119
 
2.6%
창 118
 
2.6%
지 111
 
2.5%
녕 108
 
2.4%
Other values (84) 2153
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3761
83.6%
Space Separator 710
 
15.8%
Close Punctuation 14
 
0.3%
Open Punctuation 14
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 508
 
13.5%
리 198
 
5.3%
곡 186
 
4.9%
읍 160
 
4.3%
도 128
 
3.4%
산 119
 
3.2%
창 118
 
3.1%
지 111
 
3.0%
녕 108
 
2.9%
천 106
 
2.8%
Other values (81) 2019
53.7%
Space Separator
ValueCountFrequency (%)
710
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3761
83.6%
Common 738
 
16.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 508
 
13.5%
리 198
 
5.3%
곡 186
 
4.9%
읍 160
 
4.3%
도 128
 
3.4%
산 119
 
3.2%
창 118
 
3.1%
지 111
 
3.0%
녕 108
 
2.9%
천 106
 
2.8%
Other values (81) 2019
53.7%
Common
ValueCountFrequency (%)
710
96.2%
) 14
 
1.9%
( 14
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3760
83.6%
ASCII 738
 
16.4%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
96.2%
) 14
 
1.9%
( 14
 
1.9%
Hangul
ValueCountFrequency (%)
면 508
 
13.5%
리 198
 
5.3%
곡 186
 
4.9%
읍 160
 
4.3%
도 128
 
3.4%
산 119
 
3.2%
창 118
 
3.1%
지 111
 
3.0%
녕 108
 
2.9%
천 106
 
2.8%
Other values (80) 2018
53.7%
Compat Jamo
ValueCountFrequency (%)
ㅣ 1
100.0%

나이
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2
312 
1
250 
3
94 
4
 
11
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
2 312
46.7%
1 250
37.4%
3 94
 
14.1%
4 11
 
1.6%
5 1
 
0.1%

Length

2023-12-11T08:54:03.010136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:54:03.111173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 312
46.7%
1 250
37.4%
3 94
 
14.1%
4 11
 
1.6%
5 1
 
0.1%

체중
Real number (ℝ)

Distinct43
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3850299
Minimum2
Maximum7.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2023-12-11T08:54:03.213699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.1
Q12.6
median3.3
Q34.1
95-th percentile5
Maximum7.5
Range5.5
Interquartile range (IQR)1.5

Descriptive statistics

Standard deviation0.93701998
Coefficient of variation (CV)0.27681291
Kurtosis0.15081134
Mean3.3850299
Median Absolute Deviation (MAD)0.7
Skewness0.56718432
Sum2261.2
Variance0.87800645
MonotonicityNot monotonic
2023-12-11T08:54:03.332820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
3.2 34
 
5.1%
2.1 33
 
4.9%
2.0 32
 
4.8%
3.0 31
 
4.6%
3.4 31
 
4.6%
2.5 30
 
4.5%
4.2 30
 
4.5%
3.6 29
 
4.3%
3.1 29
 
4.3%
3.5 24
 
3.6%
Other values (33) 365
54.6%
ValueCountFrequency (%)
2.0 32
4.8%
2.1 33
4.9%
2.2 18
2.7%
2.3 23
3.4%
2.4 18
2.7%
2.5 30
4.5%
2.6 17
2.5%
2.7 23
3.4%
2.8 23
3.4%
2.9 15
2.2%
ValueCountFrequency (%)
7.5 1
 
0.1%
6.5 1
 
0.1%
6.4 2
0.3%
6.1 2
0.3%
5.8 1
 
0.1%
5.7 1
 
0.1%
5.6 2
0.3%
5.5 4
0.6%
5.4 3
0.4%
5.3 2
0.3%

데이터생성일
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
Minimum2021-10-22 00:00:00
Maximum2021-10-22 00:00:00
2023-12-11T08:54:03.442568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:54:03.540547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T08:53:58.596711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:58.353400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:58.712462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:53:58.472820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:54:03.618825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번포획일시포획장소성별색상중성화수술일시중성화수술병원방사일시방사장소나이체중
연번1.0000.9980.9900.0150.2610.9980.2360.9980.9870.3450.375
포획일시0.9981.0000.9980.0000.5911.0000.9341.0000.9980.7350.396
포획장소0.9900.9981.0000.0800.6100.9980.9110.9981.0000.6350.216
성별0.0150.0000.0801.0000.5060.0000.0000.0000.0000.1200.566
색상0.2610.5910.6100.5061.0000.5900.1790.5830.6090.2970.224
중성화수술일시0.9981.0000.9980.0000.5901.0000.9321.0000.9980.7350.393
중성화수술병원0.2360.9340.9110.0000.1790.9321.0000.9320.9070.5700.124
방사일시0.9981.0000.9980.0000.5831.0000.9321.0000.9980.7370.400
방사장소0.9870.9981.0000.0000.6090.9980.9070.9981.0000.6580.174
나이0.3450.7350.6350.1200.2970.7350.5700.7370.6581.0000.444
체중0.3750.3960.2160.5660.2240.3930.1240.4000.1740.4441.000
2023-12-11T08:54:03.741455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
성별중성화수술병원나이색상
성별1.0000.0000.1470.469
중성화수술병원0.0001.0000.5160.101
나이0.1470.5161.0000.165
색상0.4690.1010.1651.000
2023-12-11T08:54:03.835888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번체중성별색상중성화수술병원나이
연번1.000-0.2620.0110.1100.1440.149
체중-0.2621.0000.4400.0860.0390.198
성별0.0110.4401.0000.4690.0000.147
색상0.1100.0860.4691.0000.1010.165
중성화수술병원0.1440.0390.0000.1011.0000.516
나이0.1490.1980.1470.1650.5161.000

Missing values

2023-12-11T08:53:58.861060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:53:59.090695image/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

연번관리번호포획일시포획장소성별색상중성화수술일시중성화수술병원표식방법방사일시방사장소나이체중데이터생성일
014485410000000002021-03-30남지읍 칠현마을수컷노랑/흰색2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을12.92021-10-22
124485410000000002021-03-30남지읍 칠현마을수컷흰색/노랑2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을13.42021-10-22
234485410000000002021-03-30남지읍 칠현마을암컷검정2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을12.42021-10-22
344485410000000002021-03-30남지읍 칠현마을수컷검정/흰색2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을24.62021-10-22
454485410000000002021-03-30남지읍 칠현마을수컷검정/흰색2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을37.52021-10-22
564485410000000002021-03-30남지읍 칠현마을암컷흰/노/검2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을34.32021-10-22
674485410000000002021-03-30남지읍 칠현마을암컷검정/흰색2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을23.72021-10-22
784485410000000002021-03-30남지읍 칠현마을수컷노랑2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을12.32021-10-22
894485410000000002021-03-30남지읍 칠현마을수컷노랑2021-03-30대호가축병원좌측귀 절제2021-04-02남지읍 칠현마을23.52021-10-22
9104485410000000002021-03-31남지읍 칠현마을암컷흰/노/검2021-03-31창녕동물병원좌측귀 절제2021-04-03남지읍 칠현마을12.92021-10-22
연번관리번호포획일시포획장소성별색상중성화수술일시중성화수술병원표식방법방사일시방사장소나이체중데이터생성일
6586594485410000000002021-09-27창녕읍 조산리수컷노랑/흰색2021-09-27창녕동물병원좌측귀 절제2021-09-30창녕읍 조산리14.32021-10-22
6596604485410000000002021-09-27창녕읍 조산리암컷흰/노/검2021-09-27창녕동물병원좌측귀 절제2021-09-30창녕읍 조산리22.92021-10-22
6606614485410000000002021-09-27길곡면 상길수컷검정/흰색2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길13.52021-10-22
6616624485410000000002021-09-27길곡면 상길암컷흰/노/검2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길12.82021-10-22
6626634485410000000002021-09-27길곡면 상길암컷흰색/회색2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길14.12021-10-22
6636644485410000000002021-09-27길곡면 상길암컷검정/흰색2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길13.12021-10-22
6646654485410000000002021-09-27길곡면 상길수컷노랑/흰색2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길12.22021-10-22
6656664485410000000002021-09-27길곡면 상길암컷노랑/흰색2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길12.52021-10-22
6666674485410000000002021-09-27길곡면 상길암컷흰/노/검2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길12.52021-10-22
6676684485410000000002021-09-27길곡면 상길수컷노랑2021-09-27대호가축병원좌측귀 절제2021-09-30길곡면 상길12.22021-10-22