Overview

Dataset statistics

Number of variables13
Number of observations97
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.2 KiB
Average record size in memory107.4 B

Variable types

Categorical6
DateTime3
Text2
Numeric1
Boolean1

Dataset

Description2019~2021년 기간동안 영월군 길고양이 중성화(TNR) 관리내역입니다. 관리번호, 포획장소, 축종, 품종, TNR일시 등 내역 제공
Author강원도 영월군
URLhttps://www.data.go.kr/data/15093521/fileData.do

Alerts

관리번호 has constant value ""Constant
축종 has constant value ""Constant
품종 has constant value ""Constant
중성화(TNR) has constant value ""Constant

Reproduction

Analysis started2023-12-12 06:40:07.445573
Analysis finished2023-12-12 06:40:09.104387
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
442000000000000
97 

Length

Max length15
Median length15
Mean length15
Min length15

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row442000000000000
2nd row442000000000000
3rd row442000000000000
4th row442000000000000
5th row442000000000000

Common Values

ValueCountFrequency (%)
442000000000000 97
100.0%

Length

2023-12-12T15:40:09.192934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:40:09.283518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
442000000000000 97
100.0%

포획일시
Date

Distinct84
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2019-04-16 14:00:00
Maximum2021-10-15 11:00:00
2023-12-12T15:40:09.389548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:40:09.544797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

포획장소
Text

Distinct68
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T15:40:09.857753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length13.587629
Min length6

Characters and Unicode

Total characters1318
Distinct characters108
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

Unique46 ?
Unique (%)47.4%

Sample

1st row중동면 태백산로 33-7
2nd row김삿갓면 배리골길 50
3rd row김삿갓로 497-51
4th row김삿갓로 497-51
5th row영월읍 영모전길 77
ValueCountFrequency (%)
영월읍 43
 
14.6%
영월군 28
 
9.5%
한반도면 11
 
3.7%
영월로 7
 
2.4%
주천면 7
 
2.4%
남면 7
 
2.4%
무릉도원면 7
 
2.4%
동강로 7
 
2.4%
김삿갓면 6
 
2.0%
95-59 5
 
1.7%
Other values (98) 167
56.6%
2023-12-12T15:40:10.655116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
15.0%
영 81
 
6.1%
월 79
 
6.0%
- 59
 
4.5%
1 50
 
3.8%
로 47
 
3.6%
읍 44
 
3.3%
2 43
 
3.3%
면 42
 
3.2%
7 38
 
2.9%
Other values (98) 637
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 743
56.4%
Decimal Number 318
24.1%
Space Separator 198
 
15.0%
Dash Punctuation 59
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 81
 
10.9%
월 79
 
10.6%
로 47
 
6.3%
읍 44
 
5.9%
면 42
 
5.7%
길 36
 
4.8%
군 28
 
3.8%
도 26
 
3.5%
리 17
 
2.3%
원 15
 
2.0%
Other values (86) 328
44.1%
Decimal Number
ValueCountFrequency (%)
1 50
15.7%
2 43
13.5%
7 38
11.9%
4 34
10.7%
5 33
10.4%
9 29
9.1%
0 26
8.2%
3 24
7.5%
8 21
6.6%
6 20
 
6.3%
Space Separator
ValueCountFrequency (%)
198
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 743
56.4%
Common 575
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 81
 
10.9%
월 79
 
10.6%
로 47
 
6.3%
읍 44
 
5.9%
면 42
 
5.7%
길 36
 
4.8%
군 28
 
3.8%
도 26
 
3.5%
리 17
 
2.3%
원 15
 
2.0%
Other values (86) 328
44.1%
Common
ValueCountFrequency (%)
198
34.4%
- 59
 
10.3%
1 50
 
8.7%
2 43
 
7.5%
7 38
 
6.6%
4 34
 
5.9%
5 33
 
5.7%
9 29
 
5.0%
0 26
 
4.5%
3 24
 
4.2%
Other values (2) 41
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 743
56.4%
ASCII 575
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
34.4%
- 59
 
10.3%
1 50
 
8.7%
2 43
 
7.5%
7 38
 
6.6%
4 34
 
5.9%
5 33
 
5.7%
9 29
 
5.0%
0 26
 
4.5%
3 24
 
4.2%
Other values (2) 41
 
7.1%
Hangul
ValueCountFrequency (%)
영 81
 
10.9%
월 79
 
10.6%
로 47
 
6.3%
읍 44
 
5.9%
면 42
 
5.7%
길 36
 
4.8%
군 28
 
3.8%
도 26
 
3.5%
리 17
 
2.3%
원 15
 
2.0%
Other values (86) 328
44.1%

축종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
길고양이
97 

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 97
100.0%

Length

2023-12-12T15:40:10.777897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:40:10.859185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
길고양이 97
100.0%

품종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size908.0 B
길고양이
97 

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 97
100.0%

Length

2023-12-12T15:40:10.933892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:40:11.005318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
길고양이 97
100.0%

색상
Categorical

Distinct13
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size908.0 B
회색
25 
삼색
17 
흰/회
13 
흰/검
12 
흰/노
11 
Other values (8)
19 

Length

Max length4
Median length2
Mean length2.4123711
Min length2

Unique

Unique5 ?
Unique (%)5.2%

Sample

1st row흰/회
2nd row삼색
3rd row회색
4th row회색
5th row흰/노

Common Values

ValueCountFrequency (%)
회색 25
25.8%
삼색 17
17.5%
흰/회 13
13.4%
흰/검 12
12.4%
흰/노 11
11.3%
검정 8
 
8.2%
노랑 3
 
3.1%
흰색 3
 
3.1%
흰/검 1
 
1.0%
갈색 1
 
1.0%
Other values (3) 3
 
3.1%

Length

2023-12-12T15:40:11.095444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
회색 25
25.8%
삼색 17
17.5%
흰/회 13
13.4%
흰/검 13
13.4%
흰/노 11
11.3%
검정 8
 
8.2%
노랑 3
 
3.1%
흰색 3
 
3.1%
갈색 1
 
1.0%
황색 1
 
1.0%
Other values (2) 2
 
2.1%

성별
Categorical

Distinct2
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size908.0 B
암컷
74 
수컷
23 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
암컷 74
76.3%
수컷 23
 
23.7%

Length

2023-12-12T15:40:11.209866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:40:11.285834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
암컷 74
76.3%
수컷 23
 
23.7%

체중
Real number (ℝ)

Distinct32
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3376289
Minimum2
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1005.0 B
2023-12-12T15:40:11.370967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2.2
Q12.8
median3.2
Q33.8
95-th percentile5.04
Maximum6
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.8638887
Coefficient of variation (CV)0.25883306
Kurtosis0.39292532
Mean3.3376289
Median Absolute Deviation (MAD)0.5
Skewness0.88790974
Sum323.75
Variance0.74630369
MonotonicityNot monotonic
2023-12-12T15:40:11.478971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
3.0 11
 
11.3%
3.2 7
 
7.2%
2.9 6
 
6.2%
2.5 6
 
6.2%
3.8 5
 
5.2%
3.4 5
 
5.2%
2.2 4
 
4.1%
3.3 4
 
4.1%
3.5 4
 
4.1%
3.7 4
 
4.1%
Other values (22) 41
42.3%
ValueCountFrequency (%)
2.0 2
 
2.1%
2.1 1
 
1.0%
2.2 4
4.1%
2.3 2
 
2.1%
2.4 3
3.1%
2.5 6
6.2%
2.6 4
4.1%
2.7 1
 
1.0%
2.75 1
 
1.0%
2.8 4
4.1%
ValueCountFrequency (%)
6.0 1
1.0%
5.4 2
2.1%
5.2 2
2.1%
5.0 2
2.1%
4.8 2
2.1%
4.7 2
2.1%
4.5 2
2.1%
4.4 2
2.1%
4.2 2
2.1%
4.1 1
1.0%

나이
Categorical

Distinct6
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
1살추정
66 
5살추정
11 
3살추정
11 
2살추정
7 
1
 
1

Length

Max length5
Median length4
Mean length3.9793814
Min length1

Unique

Unique2 ?
Unique (%)2.1%

Sample

1st row1살추정
2nd row5살추정
3rd row1살추정
4th row1살추정
5th row1살추정

Common Values

ValueCountFrequency (%)
1살추정 66
68.0%
5살추정 11
 
11.3%
3살추정 11
 
11.3%
2살추정 7
 
7.2%
1 1
 
1.0%
6개월추정 1
 
1.0%

Length

2023-12-12T15:40:11.599913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:40:11.697826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1살추정 66
68.0%
5살추정 11
 
11.3%
3살추정 11
 
11.3%
2살추정 7
 
7.2%
1 1
 
1.0%
6개월추정 1
 
1.0%

중성화(TNR)
Boolean

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size229.0 B
True
97 
ValueCountFrequency (%)
True 97
100.0%
2023-12-12T15:40:11.769150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

중성화(TNR)일시
Date

Distinct94
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2019-04-16 16:00:00
Maximum2021-10-15 19:00:00
2023-12-12T15:40:11.851979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:40:11.971076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방사일시
Date

Distinct85
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size908.0 B
Minimum2019-04-17 17:00:00
Maximum2021-10-18 17:00:00
2023-12-12T15:40:12.093468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:40:12.224488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방사장소
Text

Distinct70
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size908.0 B
2023-12-12T15:40:12.473078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length13.103093
Min length6

Characters and Unicode

Total characters1271
Distinct characters108
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

Unique50 ?
Unique (%)51.5%

Sample

1st row중동면 태백산로 33-7
2nd row김삿갓면 배리골길 50
3rd row김삿갓로 497-51
4th row김삿갓로 497-51
5th row영월읍 영모전길 77
ValueCountFrequency (%)
영월읍 39
 
13.8%
영월군 25
 
8.8%
한반도면 11
 
3.9%
영월로 7
 
2.5%
주천면 7
 
2.5%
남면 7
 
2.5%
동강로 6
 
2.1%
김삿갓면 6
 
2.1%
무릉도원면 6
 
2.1%
95-59 5
 
1.8%
Other values (99) 164
58.0%
2023-12-12T15:40:12.831909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
 
14.8%
영 74
 
5.8%
월 72
 
5.7%
- 58
 
4.6%
1 50
 
3.9%
로 47
 
3.7%
2 43
 
3.4%
면 41
 
3.2%
읍 40
 
3.1%
7 38
 
3.0%
Other values (98) 620
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
55.9%
Decimal Number 314
24.7%
Space Separator 188
 
14.8%
Dash Punctuation 58
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 74
 
10.4%
월 72
 
10.1%
로 47
 
6.6%
면 41
 
5.8%
읍 40
 
5.6%
길 36
 
5.1%
군 25
 
3.5%
도 24
 
3.4%
리 16
 
2.3%
동 15
 
2.1%
Other values (86) 321
45.1%
Decimal Number
ValueCountFrequency (%)
1 50
15.9%
2 43
13.7%
7 38
12.1%
5 33
10.5%
4 33
10.5%
9 28
8.9%
0 25
8.0%
3 24
7.6%
8 21
6.7%
6 19
 
6.1%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
55.9%
Common 560
44.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 74
 
10.4%
월 72
 
10.1%
로 47
 
6.6%
면 41
 
5.8%
읍 40
 
5.6%
길 36
 
5.1%
군 25
 
3.5%
도 24
 
3.4%
리 16
 
2.3%
동 15
 
2.1%
Other values (86) 321
45.1%
Common
ValueCountFrequency (%)
188
33.6%
- 58
 
10.4%
1 50
 
8.9%
2 43
 
7.7%
7 38
 
6.8%
5 33
 
5.9%
4 33
 
5.9%
9 28
 
5.0%
0 25
 
4.5%
3 24
 
4.3%
Other values (2) 40
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
55.9%
ASCII 560
44.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
33.6%
- 58
 
10.4%
1 50
 
8.9%
2 43
 
7.7%
7 38
 
6.8%
5 33
 
5.9%
4 33
 
5.9%
9 28
 
5.0%
0 25
 
4.5%
3 24
 
4.3%
Other values (2) 40
 
7.1%
Hangul
ValueCountFrequency (%)
영 74
 
10.4%
월 72
 
10.1%
로 47
 
6.6%
면 41
 
5.8%
읍 40
 
5.6%
길 36
 
5.1%
군 25
 
3.5%
도 24
 
3.4%
리 16
 
2.3%
동 15
 
2.1%
Other values (86) 321
45.1%

Interactions

2023-12-12T15:40:08.617478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:40:12.915142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
포획일시포획장소색상성별체중나이중성화(TNR)일시방사일시방사장소
포획일시1.0000.9980.7790.1420.7750.9310.9990.9990.997
포획장소0.9981.0000.9500.6680.0000.9270.9990.9990.999
색상0.7790.9501.0000.3050.3780.3140.9320.7960.944
성별0.1420.6680.3051.0000.3630.0561.0000.4710.386
체중0.7750.0000.3780.3631.0000.3590.9650.8740.790
나이0.9310.9270.3140.0560.3591.0001.0000.9830.949
중성화(TNR)일시0.9990.9990.9321.0000.9651.0001.0001.0000.999
방사일시0.9990.9990.7960.4710.8740.9831.0001.0000.998
방사장소0.9970.9990.9440.3860.7900.9490.9990.9981.000
2023-12-12T15:40:13.022270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
나이성별색상
나이1.0000.0320.150
성별0.0321.0000.265
색상0.1500.2651.000
2023-12-12T15:40:13.099566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
체중색상성별나이
체중1.0000.2390.2010.267
색상0.2391.0000.2650.150
성별0.2010.2651.0000.032
나이0.2670.1500.0321.000

Missing values

2023-12-12T15:40:08.794830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:40:09.027176image/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

관리번호포획일시포획장소축종품종색상성별체중나이중성화(TNR)중성화(TNR)일시방사일시방사장소
04420000000000002021-10-15 11:00중동면 태백산로 33-7길고양이길고양이흰/회암컷3.21살추정Y2021-10-15 19:002021-10-18 15:00중동면 태백산로 33-7
14420000000000002021-10-15 9:00김삿갓면 배리골길 50길고양이길고양이삼색암컷5.25살추정Y2021-10-15 16:002021-10-18 16:00김삿갓면 배리골길 50
24420000000000002021-10-15 10:00김삿갓로 497-51길고양이길고양이회색암컷2.21살추정Y2021-10-15 18:002021-10-18 17:00김삿갓로 497-51
34420000000000002021-10-15 10:00김삿갓로 497-51길고양이길고양이회색암컷2.41살추정Y2021-10-15 17:002021-10-18 17:00김삿갓로 497-51
44420000000000002021-10-13 10:00영월읍 영모전길 77길고양이길고양이흰/노암컷3.81살추정Y2021-10-13 18:002021-10-15 17:00영월읍 영모전길 77
54420000000000002021-10-13 10:00영월읍 영모전길 77길고양이길고양이흰/노수컷5.01살추정Y2021-10-13 17:002021-10-15 17:00영월읍 영모전길 77
64420000000000002021-10-12 9:00영월읍 덕포하리4길 24길고양이길고양이흰/회암컷2.91살추정Y2021-10-12 18:002021-10-15 16:00영월읍 덕포하리4길 24
74420000000000002021-10-06 9:00주천면 나래실길 206-7길고양이길고양이흰/검암컷2.51살추정Y2021-10-07 11:002021-10-10 16:00주천면 나래실길 206-7
84420000000000002021-10-06 9:00주천면 나래실길 206-7길고양이길고양이회색암컷2.51살추정Y2021-10-07 10:002021-10-10 16:00주천면 나래실길 206-7
94420000000000002021-09-30 10:00영월읍 태화산로 100-7길고양이길고양이삼색암컷2.21살추정Y2021-09-30 18:002021-10-02 16:00영월읍 태화산로 100-7
관리번호포획일시포획장소축종품종색상성별체중나이중성화(TNR)중성화(TNR)일시방사일시방사장소
874420000000000002019-11-04 10:00영월읍 요리골목길길고양이길고양이검정수컷3.52살추정Y2019-11-04 15:002019-11-06 16:00영월읍 요리골목길
884420000000000002019-09-23 10:00무릉도원면 무릉리188-7길고양이길고양이황색암컷4.73살추정Y2019-09-23 14:002019-09-25 17:00무릉도원면 무릉길188-7
894420000000000002019-09-06 10:00상동읍 구름재길17길고양이길고양이삼색암컷4.52살추정Y2019-09-06 15:002019-09-09 17:00상동읍 구름재길17
904420000000000002019-06-20 10:00영월군 법원청사내길고양이길고양이검/흰수컷5.25살추정Y2019-06-20 16:002019-06-21 17:00영월군 법원청사내
914420000000000002019-06-20 10:00영월군 법원길고양이길고양이검정수컷3.51살추정Y2019-06-20 15:002019-06-21 17:00영월군 법원
924420000000000002019-06-17 11:00강원도 영월군 영월읍 태화산로 477-7길고양이길고양이흰/노암컷3.02살추정Y2019-06-17 14:002019-06-20 15:00영월읍 태화산로 477-7
934420000000000002019-06-04 10:00강원도 영월군 영월읍 국유림관리소길고양이길고양이흰/노암컷3.01살추정Y2019-06-04 12:002019-06-07 13:00강원도 영월군 영월읍 국유림관리소
944420000000000002019-06-02 14:00강원도 영월군 영월읍 법원청사길고양이길고양이흰/노수컷4.01살추정Y2019-06-03 9:002019-06-04 10:00강원도 영월군 영월읍 법원청사내
954420000000000002019-05-10 10:00영월군 영월읍 요리골목길21길고양이길고양이흰/갈암컷5.43살추정Y2019-05-10 17:002019-05-13 17:00영월군 영월읍 요리골목길21
964420000000000002019-04-16 14:00영월군 영월읍 영월검찰청 청사내길고양이길고양이흰/회수컷3.11살추정Y2019-04-16 16:002019-04-17 17:00영월군 영월읍 영월검찰청 청사내