Overview

Dataset statistics

Number of variables32
Number of observations50
Missing cells211
Missing cells (%)13.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory261.6 B

Variable types

Text14
Categorical15
DateTime2
Numeric1

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 계룡시 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=68&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109252

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
방생위도 is highly imbalanced (64.8%)Imbalance
방생경도 is highly imbalanced (64.8%)Imbalance
이첩 방생 위치 has 39 (78.0%) missing valuesMissing
구조위도 has 9 (18.0%) missing valuesMissing
구조경도 has 9 (18.0%) missing valuesMissing
구조고도 has 9 (18.0%) missing valuesMissing
발견장소상세 has 11 (22.0%) missing valuesMissing
구조위도(TM구조위도) has 23 (46.0%) missing valuesMissing
구조경도(TM구조경도) has 23 (46.0%) missing valuesMissing
방생위도(TM방생위도) has 44 (88.0%) missing valuesMissing
방생경도(TM방생경도) has 44 (88.0%) missing valuesMissing
접수번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:34:24.480409
Analysis finished2024-01-09 20:34:25.122942
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-10T05:34:25.261763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters450
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

Unique50 ?
Unique (%)100.0%

Sample

1st row2019-1450
2nd row2019-1216
3rd row2019-0376
4th row2019-0893
5th row2019-0341
ValueCountFrequency (%)
2019-1450 1
 
2.0%
2022-1617 1
 
2.0%
2022-2289 1
 
2.0%
2020-0163 1
 
2.0%
2020-0628 1
 
2.0%
2020-1474 1
 
2.0%
2020-1551 1
 
2.0%
2020-1694 1
 
2.0%
2020-0164 1
 
2.0%
2021-1380 1
 
2.0%
Other values (40) 40
80.0%
2024-01-10T05:34:25.586920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 109
24.2%
0 102
22.7%
1 64
14.2%
- 50
11.1%
9 26
 
5.8%
6 22
 
4.9%
4 19
 
4.2%
3 18
 
4.0%
5 16
 
3.6%
8 13
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 400
88.9%
Dash Punctuation 50
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 109
27.3%
0 102
25.5%
1 64
16.0%
9 26
 
6.5%
6 22
 
5.5%
4 19
 
4.8%
3 18
 
4.5%
5 16
 
4.0%
8 13
 
3.2%
7 11
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 450
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 109
24.2%
0 102
22.7%
1 64
14.2%
- 50
11.1%
9 26
 
5.8%
6 22
 
4.9%
4 19
 
4.2%
3 18
 
4.0%
5 16
 
3.6%
8 13
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 450
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 109
24.2%
0 102
22.7%
1 64
14.2%
- 50
11.1%
9 26
 
5.8%
6 22
 
4.9%
4 19
 
4.2%
3 18
 
4.0%
5 16
 
3.6%
8 13
 
2.9%

동물국문명
Categorical

Distinct17
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
고라니
12 
참새
8 
너구리
6 
파랑새
4 
집비둘기
4 
Other values (12)
16 

Length

Max length6
Median length5.5
Mean length3.04
Min length2

Unique

Unique9 ?
Unique (%)18.0%

Sample

1st row오색딱다구리
2nd row멧비둘기
3rd row까치
4th row박새
5th row참새

Common Values

ValueCountFrequency (%)
고라니 12
24.0%
참새 8
16.0%
너구리 6
12.0%
파랑새 4
 
8.0%
집비둘기 4
 
8.0%
멧비둘기 3
 
6.0%
어치 2
 
4.0%
물까치 2
 
4.0%
흰뺨검둥오리 1
 
2.0%
까치 1
 
2.0%
Other values (7) 7
14.0%

Length

2024-01-10T05:34:25.715898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 12
24.0%
참새 8
16.0%
너구리 6
12.0%
파랑새 4
 
8.0%
집비둘기 4
 
8.0%
멧비둘기 3
 
6.0%
어치 2
 
4.0%
물까치 2
 
4.0%
오색딱다구리 1
 
2.0%
직박구리 1
 
2.0%
Other values (7) 7
14.0%

강
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
조강(Aves)
31 
포유강(Mammalia)
19 

Length

Max length13
Median length8
Mean length9.9
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row조강(Aves)
2nd row조강(Aves)
3rd row조강(Aves)
4th row조강(Aves)
5th row조강(Aves)

Common Values

ValueCountFrequency (%)
조강(Aves) 31
62.0%
포유강(Mammalia) 19
38.0%

Length

2024-01-10T05:34:25.837866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:25.924796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 31
62.0%
포유강(mammalia 19
38.0%

목
Categorical

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
참새목
16 
소목
12 
비둘기목
7 
식육목
7 
파랑새목
4 
Other values (3)
4 

Length

Max length5
Median length4
Mean length3.08
Min length2

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row딱다구리목
2nd row비둘기목
3rd row참새목
4th row참새목
5th row참새목

Common Values

ValueCountFrequency (%)
참새목 16
32.0%
소목 12
24.0%
비둘기목 7
14.0%
식육목 7
14.0%
파랑새목 4
 
8.0%
딱다구리목 2
 
4.0%
기러기목 1
 
2.0%
황새목 1
 
2.0%

Length

2024-01-10T05:34:26.019439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:26.125409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
참새목 16
32.0%
소목 12
24.0%
비둘기목 7
14.0%
식육목 7
14.0%
파랑새목 4
 
8.0%
딱다구리목 2
 
4.0%
기러기목 1
 
2.0%
황새목 1
 
2.0%

과
Categorical

Distinct13
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
사슴과
12 
참새과
8 
비둘기과
7 
개과
6 
까마귀과
5 
Other values (8)
12 

Length

Max length5
Median length4
Mean length3.38
Min length2

Unique

Unique6 ?
Unique (%)12.0%

Sample

1st row딱다구리과
2nd row비둘기과
3rd row까마귀과
4th row박새과
5th row참새과

Common Values

ValueCountFrequency (%)
사슴과 12
24.0%
참새과 8
16.0%
비둘기과 7
14.0%
개과 6
12.0%
까마귀과 5
10.0%
파랑새과 4
 
8.0%
딱다구리과 2
 
4.0%
박새과 1
 
2.0%
오리과 1
 
2.0%
솔딱새과 1
 
2.0%
Other values (3) 3
 
6.0%

Length

2024-01-10T05:34:26.239248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 12
24.0%
참새과 8
16.0%
비둘기과 7
14.0%
개과 6
12.0%
까마귀과 5
10.0%
파랑새과 4
 
8.0%
딱다구리과 2
 
4.0%
박새과 1
 
2.0%
오리과 1
 
2.0%
솔딱새과 1
 
2.0%
Other values (3) 3
 
6.0%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
해당없음
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 50
100.0%

Length

2024-01-10T05:34:26.343100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:26.419705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 50
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
해당없음
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 50
100.0%

Length

2024-01-10T05:34:26.503820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:26.582056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 50
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
해당없음
50 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 50
100.0%

Length

2024-01-10T05:34:26.665014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:26.767557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 50
100.0%

구조일시
Date

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2019-01-02 00:00:00
Maximum2022-11-08 00:00:00
2024-01-10T05:34:26.866244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:34:26.993643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

구조결과일자
Date

Distinct45
Distinct (%)90.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2019-01-18 00:00:00
Maximum2022-11-11 00:00:00
2024-01-10T05:34:27.106771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:34:27.231567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

구조결과
Categorical

Distinct5
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
안락사
16 
방생
11 
폐사
10 
DOA
9 
폐사체
4 

Length

Max length3
Median length3
Mean length2.58
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row방생
2nd row안락사
3rd rowDOA
4th row폐사
5th row방생

Common Values

ValueCountFrequency (%)
안락사 16
32.0%
방생 11
22.0%
폐사 10
20.0%
DOA 9
18.0%
폐사체 4
 
8.0%

Length

2024-01-10T05:34:27.344701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:27.436490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안락사 16
32.0%
방생 11
22.0%
폐사 10
20.0%
doa 9
18.0%
폐사체 4
 
8.0%

이첩 방생 위치
Text

MISSING 

Distinct7
Distinct (%)63.6%
Missing39
Missing (%)78.0%
Memory size532.0 B
2024-01-10T05:34:27.569228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length16.909091
Min length8

Characters and Unicode

Total characters186
Distinct characters35
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

Unique4 ?
Unique (%)36.4%

Sample

1st row충청남도 천안시
2nd row충청남도 예산군
3rd row충청남도 예산군
4th row충청남도 예산군 예산읍 대회리 1
5th row충청남도 예산군 예산읍 대회리 1
ValueCountFrequency (%)
충청남도 9
18.4%
예산군 7
14.3%
예산읍 4
 
8.2%
대회리 3
 
6.1%
1 3
 
6.1%
산 3
 
6.1%
충남 2
 
4.1%
당진시 2
 
4.1%
신평면 2
 
4.1%
초대리 2
 
4.1%
Other values (11) 12
24.5%
2024-01-10T05:34:27.862148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38
20.4%
산 15
 
8.1%
충 11
 
5.9%
남 11
 
5.9%
예 11
 
5.9%
청 9
 
4.8%
도 9
 
4.8%
리 8
 
4.3%
1 7
 
3.8%
군 7
 
3.8%
Other values (25) 60
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124
66.7%
Space Separator 38
 
20.4%
Decimal Number 20
 
10.8%
Dash Punctuation 4
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 15
12.1%
충 11
 
8.9%
남 11
 
8.9%
예 11
 
8.9%
청 9
 
7.3%
도 9
 
7.3%
리 8
 
6.5%
군 7
 
5.6%
대 6
 
4.8%
읍 4
 
3.2%
Other values (17) 33
26.6%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
5 4
20.0%
2 4
20.0%
3 3
15.0%
6 1
 
5.0%
7 1
 
5.0%
Space Separator
ValueCountFrequency (%)
38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124
66.7%
Common 62
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 15
12.1%
충 11
 
8.9%
남 11
 
8.9%
예 11
 
8.9%
청 9
 
7.3%
도 9
 
7.3%
리 8
 
6.5%
군 7
 
5.6%
대 6
 
4.8%
읍 4
 
3.2%
Other values (17) 33
26.6%
Common
ValueCountFrequency (%)
38
61.3%
1 7
 
11.3%
5 4
 
6.5%
2 4
 
6.5%
- 4
 
6.5%
3 3
 
4.8%
6 1
 
1.6%
7 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124
66.7%
ASCII 62
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38
61.3%
1 7
 
11.3%
5 4
 
6.5%
2 4
 
6.5%
- 4
 
6.5%
3 3
 
4.8%
6 1
 
1.6%
7 1
 
1.6%
Hangul
ValueCountFrequency (%)
산 15
12.1%
충 11
 
8.9%
남 11
 
8.9%
예 11
 
8.9%
청 9
 
7.3%
도 9
 
7.3%
리 8
 
6.5%
군 7
 
5.6%
대 6
 
4.8%
읍 4
 
3.2%
Other values (17) 33
26.6%

사체처리
Categorical

Distinct8
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
기타
28 
<NA>
11 
폐기
4 
냉동(신냉동창고)(투입박스(일반))
 
2
냉동(구냉동창고)(성체고라니, 개선충너구리)
 
2
Other values (3)
3 

Length

Max length24
Median length2
Mean length4.3
Min length2

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row<NA>
2nd row기타
3rd row기타
4th row기타
5th row<NA>

Common Values

ValueCountFrequency (%)
기타 28
56.0%
<NA> 11
 
22.0%
폐기 4
 
8.0%
냉동(신냉동창고)(투입박스(일반)) 2
 
4.0%
냉동(구냉동창고)(성체고라니, 개선충너구리) 2
 
4.0%
냉동 1
 
2.0%
기타(협조) 1
 
2.0%
냉동(신냉동창고)(선반) 1
 
2.0%

Length

2024-01-10T05:34:27.993333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:28.111348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 28
53.8%
na 11
 
21.2%
폐기 4
 
7.7%
냉동(신냉동창고)(투입박스(일반 2
 
3.8%
냉동(구냉동창고)(성체고라니 2
 
3.8%
개선충너구리 2
 
3.8%
냉동 1
 
1.9%
기타(협조 1
 
1.9%
냉동(신냉동창고)(선반 1
 
1.9%

동물성별
Categorical

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Unknown
32 
Male
10 
Female
8 

Length

Max length7
Median length7
Mean length6.24
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 32
64.0%
Male 10
 
20.0%
Female 8
 
16.0%

Length

2024-01-10T05:34:28.244965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:28.339169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 32
64.0%
male 10
 
20.0%
female 8
 
16.0%

동물연령
Categorical

Distinct15
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Nestling
15 
Juvenile
11 
0년0월0일
9 
Unknown
3 
Adult
2 
Other values (10)
10 

Length

Max length8
Median length8
Mean length7.12
Min length5

Unique

Unique10 ?
Unique (%)20.0%

Sample

1st rowJuvenile
2nd rowJuvenile
3rd rowJuvenile
4th rowNestling
5th rowNestling

Common Values

ValueCountFrequency (%)
Nestling 15
30.0%
Juvenile 11
22.0%
0년0월0일 9
18.0%
Unknown 3
 
6.0%
Adult 2
 
4.0%
2년6월0일 1
 
2.0%
4년6월0일 1
 
2.0%
0년9월0일 1
 
2.0%
0년10월0일 1
 
2.0%
0년7월0일 1
 
2.0%
Other values (5) 5
 
10.0%

Length

2024-01-10T05:34:28.435328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nestling 15
30.0%
juvenile 11
22.0%
0년0월0일 9
18.0%
unknown 3
 
6.0%
adult 2
 
4.0%
2년6월0일 1
 
2.0%
4년6월0일 1
 
2.0%
0년9월0일 1
 
2.0%
0년10월0일 1
 
2.0%
0년7월0일 1
 
2.0%
Other values (5) 5
 
10.0%

구조위도
Text

MISSING 

Distinct36
Distinct (%)87.8%
Missing9
Missing (%)18.0%
Memory size532.0 B
2024-01-10T05:34:28.618102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9756098
Min length8

Characters and Unicode

Total characters368
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

Unique33 ?
Unique (%)80.5%

Sample

1st row36.286111
2nd row36.287833
3rd row36.287833
4th row36.287833
5th row36.31725
ValueCountFrequency (%)
36.16.132 3
 
7.3%
36.287833 3
 
7.3%
36.280111 2
 
4.9%
36.17.261 1
 
2.4%
36.281361 1
 
2.4%
36.23.418 1
 
2.4%
36.18.348 1
 
2.4%
36.18.007 1
 
2.4%
36.15.152 1
 
2.4%
36.15.278 1
 
2.4%
Other values (26) 26
63.4%
2024-01-10T05:34:29.193624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 66
17.9%
6 66
17.9%
. 55
14.9%
1 41
11.1%
2 41
11.1%
8 28
7.6%
7 19
 
5.2%
0 15
 
4.1%
9 14
 
3.8%
5 12
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
85.1%
Other Punctuation 55
 
14.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 66
21.1%
6 66
21.1%
1 41
13.1%
2 41
13.1%
8 28
8.9%
7 19
 
6.1%
0 15
 
4.8%
9 14
 
4.5%
5 12
 
3.8%
4 11
 
3.5%
Other Punctuation
ValueCountFrequency (%)
. 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 368
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 66
17.9%
6 66
17.9%
. 55
14.9%
1 41
11.1%
2 41
11.1%
8 28
7.6%
7 19
 
5.2%
0 15
 
4.1%
9 14
 
3.8%
5 12
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 368
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 66
17.9%
6 66
17.9%
. 55
14.9%
1 41
11.1%
2 41
11.1%
8 28
7.6%
7 19
 
5.2%
0 15
 
4.1%
9 14
 
3.8%
5 12
 
3.3%

구조경도
Text

MISSING 

Distinct36
Distinct (%)87.8%
Missing9
Missing (%)18.0%
Memory size532.0 B
2024-01-10T05:34:29.402823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8292683
Min length7

Characters and Unicode

Total characters403
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

Unique33 ?
Unique (%)80.5%

Sample

1st row127.239694
2nd row127.229778
3rd row127.229778
4th row127.229778
5th row127.240306
ValueCountFrequency (%)
127.14.538 3
 
7.3%
127.229778 3
 
7.3%
127.237583 2
 
4.9%
127.14.175 1
 
2.4%
127.250861 1
 
2.4%
127.08.466 1
 
2.4%
127.15.059 1
 
2.4%
127.13.512 1
 
2.4%
127.15.106 1
 
2.4%
127.12.313 1
 
2.4%
Other values (26) 26
63.4%
2024-01-10T05:34:29.766798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 90
22.3%
1 62
15.4%
7 62
15.4%
. 55
13.6%
5 30
 
7.4%
3 24
 
6.0%
8 21
 
5.2%
6 19
 
4.7%
4 15
 
3.7%
0 13
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 348
86.4%
Other Punctuation 55
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 90
25.9%
1 62
17.8%
7 62
17.8%
5 30
 
8.6%
3 24
 
6.9%
8 21
 
6.0%
6 19
 
5.5%
4 15
 
4.3%
0 13
 
3.7%
9 12
 
3.4%
Other Punctuation
ValueCountFrequency (%)
. 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 90
22.3%
1 62
15.4%
7 62
15.4%
. 55
13.6%
5 30
 
7.4%
3 24
 
6.0%
8 21
 
5.2%
6 19
 
4.7%
4 15
 
3.7%
0 13
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 90
22.3%
1 62
15.4%
7 62
15.4%
. 55
13.6%
5 30
 
7.4%
3 24
 
6.0%
8 21
 
5.2%
6 19
 
4.7%
4 15
 
3.7%
0 13
 
3.2%

구조고도
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)68.3%
Missing9
Missing (%)18.0%
Infinite0
Infinite (%)0.0%
Mean129.56098
Minimum50
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-01-10T05:34:29.903526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile83
Q1124
median133
Q3142
95-th percentile157
Maximum177
Range127
Interquartile range (IQR)18

Descriptive statistics

Standard deviation24.599846
Coefficient of variation (CV)0.1898708
Kurtosis3.6754866
Mean129.56098
Median Absolute Deviation (MAD)9
Skewness-1.4714957
Sum5312
Variance605.15244
MonotonicityNot monotonic
2024-01-10T05:34:30.072183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
130 5
 
10.0%
142 3
 
6.0%
135 3
 
6.0%
149 2
 
4.0%
139 2
 
4.0%
128 2
 
4.0%
148 2
 
4.0%
144 2
 
4.0%
126 1
 
2.0%
118 1
 
2.0%
Other values (18) 18
36.0%
(Missing) 9
18.0%
ValueCountFrequency (%)
50 1
2.0%
54 1
2.0%
83 1
2.0%
107 1
2.0%
108 1
2.0%
110 1
2.0%
113 1
2.0%
115 1
2.0%
117 1
2.0%
118 1
2.0%
ValueCountFrequency (%)
177 1
 
2.0%
169 1
 
2.0%
157 1
 
2.0%
152 1
 
2.0%
149 2
4.0%
148 2
4.0%
144 2
4.0%
142 3
6.0%
141 1
 
2.0%
139 2
4.0%

방생위도
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
36.67008139
 
3
36.90333997
 
2
36.26960274
 
1

Length

Max length11
Median length4
Mean length4.84
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
36.67008139 3
 
6.0%
36.90333997 2
 
4.0%
36.26960274 1
 
2.0%

Length

2024-01-10T05:34:30.214657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:30.314610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
36.67008139 3
 
6.0%
36.90333997 2
 
4.0%
36.26960274 1
 
2.0%

방생경도
Categorical

IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
44 
126.8596661
 
3
126.7515886
 
2
127.2684227
 
1

Length

Max length11
Median length4
Mean length4.84
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
88.0%
126.8596661 3
 
6.0%
126.7515886 2
 
4.0%
127.2684227 1
 
2.0%

Length

2024-01-10T05:34:30.417954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:30.512693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
88.0%
126.8596661 3
 
6.0%
126.7515886 2
 
4.0%
127.2684227 1
 
2.0%

발견장소상세
Text

MISSING 

Distinct34
Distinct (%)87.2%
Missing11
Missing (%)22.0%
Memory size532.0 B
2024-01-10T05:34:30.720538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length17
Mean length10.923077
Min length2

Characters and Unicode

Total characters426
Distinct characters113
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)76.9%

Sample

1st row(엄사중앙로 65-9) 주소지 부근 건물 옆
2nd row(번영11길 3) 엄사중학교 교내
3rd row(번영11길 3) 엄사중학교 교내
4th row(번영11길 3) 엄사중학교 교내
5th row계룡대 내부(군사보안시설이라 자세한 위치 파악 불가)
ValueCountFrequency (%)
단지 6
 
5.1%
옆 5
 
4.3%
아파트 5
 
4.3%
내 5
 
4.3%
엄사중학교 4
 
3.4%
주소지 4
 
3.4%
부근 4
 
3.4%
도로변 4
 
3.4%
번영11길 3
 
2.6%
교내 3
 
2.6%
Other values (62) 74
63.2%
2024-01-10T05:34:31.079661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
 
19.2%
지 19
 
4.5%
아 12
 
2.8%
로 11
 
2.6%
트 10
 
2.3%
파 10
 
2.3%
내 10
 
2.3%
교 9
 
2.1%
근 8
 
1.9%
단 8
 
1.9%
Other values (103) 247
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 309
72.5%
Space Separator 82
 
19.2%
Decimal Number 20
 
4.7%
Open Punctuation 7
 
1.6%
Close Punctuation 7
 
1.6%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 19
 
6.1%
아 12
 
3.9%
로 11
 
3.6%
트 10
 
3.2%
파 10
 
3.2%
내 10
 
3.2%
교 9
 
2.9%
근 8
 
2.6%
단 8
 
2.6%
사 8
 
2.6%
Other values (92) 204
66.0%
Decimal Number
ValueCountFrequency (%)
1 8
40.0%
3 4
20.0%
7 3
 
15.0%
5 2
 
10.0%
0 1
 
5.0%
6 1
 
5.0%
9 1
 
5.0%
Space Separator
ValueCountFrequency (%)
82
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 309
72.5%
Common 117
 
27.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 19
 
6.1%
아 12
 
3.9%
로 11
 
3.6%
트 10
 
3.2%
파 10
 
3.2%
내 10
 
3.2%
교 9
 
2.9%
근 8
 
2.6%
단 8
 
2.6%
사 8
 
2.6%
Other values (92) 204
66.0%
Common
ValueCountFrequency (%)
82
70.1%
1 8
 
6.8%
( 7
 
6.0%
) 7
 
6.0%
3 4
 
3.4%
7 3
 
2.6%
5 2
 
1.7%
0 1
 
0.9%
6 1
 
0.9%
- 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 309
72.5%
ASCII 117
 
27.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
70.1%
1 8
 
6.8%
( 7
 
6.0%
) 7
 
6.0%
3 4
 
3.4%
7 3
 
2.6%
5 2
 
1.7%
0 1
 
0.9%
6 1
 
0.9%
- 1
 
0.9%
Hangul
ValueCountFrequency (%)
지 19
 
6.1%
아 12
 
3.9%
로 11
 
3.6%
트 10
 
3.2%
파 10
 
3.2%
내 10
 
3.2%
교 9
 
2.9%
근 8
 
2.6%
단 8
 
2.6%
사 8
 
2.6%
Other values (92) 204
66.0%

발견주소
Text

Distinct36
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-10T05:34:31.289091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length17.66
Min length8

Characters and Unicode

Total characters883
Distinct characters49
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

Unique32 ?
Unique (%)64.0%

Sample

1st row충청남도 계룡시
2nd row충청남도 계룡시 엄사면 엄사리 367
3rd row충청남도 계룡시
4th row충청남도 계룡시
5th row충청남도 계룡시
ValueCountFrequency (%)
계룡시 48
22.4%
충청남도 36
16.8%
엄사면 14
 
6.5%
충남 14
 
6.5%
엄사리 9
 
4.2%
두마면 8
 
3.7%
금암동 7
 
3.3%
신도안면 7
 
3.3%
396-9 4
 
1.9%
남선리 3
 
1.4%
Other values (46) 64
29.9%
2024-01-10T05:34:31.624994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
18.9%
남 53
 
6.0%
계 53
 
6.0%
충 50
 
5.7%
시 50
 
5.7%
룡 50
 
5.7%
도 45
 
5.1%
청 36
 
4.1%
면 31
 
3.5%
리 30
 
3.4%
Other values (39) 318
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 548
62.1%
Space Separator 167
 
18.9%
Decimal Number 144
 
16.3%
Dash Punctuation 24
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 53
9.7%
계 53
9.7%
충 50
 
9.1%
시 50
 
9.1%
룡 50
 
9.1%
도 45
 
8.2%
청 36
 
6.6%
면 31
 
5.7%
리 30
 
5.5%
사 24
 
4.4%
Other values (27) 126
23.0%
Decimal Number
ValueCountFrequency (%)
1 27
18.8%
2 24
16.7%
6 20
13.9%
7 15
10.4%
9 15
10.4%
4 13
9.0%
3 13
9.0%
5 8
 
5.6%
0 5
 
3.5%
8 4
 
2.8%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 548
62.1%
Common 335
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 53
9.7%
계 53
9.7%
충 50
 
9.1%
시 50
 
9.1%
룡 50
 
9.1%
도 45
 
8.2%
청 36
 
6.6%
면 31
 
5.7%
리 30
 
5.5%
사 24
 
4.4%
Other values (27) 126
23.0%
Common
ValueCountFrequency (%)
167
49.9%
1 27
 
8.1%
- 24
 
7.2%
2 24
 
7.2%
6 20
 
6.0%
7 15
 
4.5%
9 15
 
4.5%
4 13
 
3.9%
3 13
 
3.9%
5 8
 
2.4%
Other values (2) 9
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 548
62.1%
ASCII 335
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
49.9%
1 27
 
8.1%
- 24
 
7.2%
2 24
 
7.2%
6 20
 
6.0%
7 15
 
4.5%
9 15
 
4.5%
4 13
 
3.9%
3 13
 
3.9%
5 8
 
2.4%
Other values (2) 9
 
2.7%
Hangul
ValueCountFrequency (%)
남 53
9.7%
계 53
9.7%
충 50
 
9.1%
시 50
 
9.1%
룡 50
 
9.1%
도 45
 
8.2%
청 36
 
6.6%
면 31
 
5.7%
리 30
 
5.5%
사 24
 
4.4%
Other values (27) 126
23.0%

발견장소특징
Categorical

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
건물옆
32 
도로변
11 
농경지
 
3
기타
 
2
숲
 
1

Length

Max length5
Median length3
Mean length2.96
Min length1

Unique

Unique2 ?
Unique (%)4.0%

Sample

1st row건물옆
2nd row건물옆
3rd row도로변
4th row건물옆
5th row건물옆

Common Values

ValueCountFrequency (%)
건물옆 32
64.0%
도로변 11
 
22.0%
농경지 3
 
6.0%
기타 2
 
4.0%
숲 1
 
2.0%
강, 바다 1
 
2.0%

Length

2024-01-10T05:34:31.751619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:31.859151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 32
62.7%
도로변 11
 
21.6%
농경지 3
 
5.9%
기타 2
 
3.9%
숲 1
 
2.0%
강 1
 
2.0%
바다 1
 
2.0%

발생원인
Categorical

Distinct11
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
어미를 잃음(미아)
17 
전선/건물과의 충돌
8 
차량과의 충돌
7 
알 수 없는 사고
4 
추락
3 
Other values (6)
11 

Length

Max length11
Median length10.5
Mean length8.24
Min length1

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row전선/건물과의 충돌
2nd row전선/건물과의 충돌
3rd row어미를 잃음(미아)
4th row어미를 잃음(미아)
5th row어미를 잃음(미아)

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 17
34.0%
전선/건물과의 충돌 8
16.0%
차량과의 충돌 7
14.0%
알 수 없는 사고 4
 
8.0%
추락 3
 
6.0%
기생충 중감염 3
 
6.0%
개, 고양이 공격 3
 
6.0%
기타 2
 
4.0%
덫 1
 
2.0%
인공구조물 침입·고립 1
 
2.0%

Length

2024-01-10T05:34:31.961426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어미를 17
16.0%
잃음(미아 17
16.0%
충돌 15
14.2%
전선/건물과의 8
 
7.5%
차량과의 7
 
6.6%
알 4
 
3.8%
수 4
 
3.8%
없는 4
 
3.8%
사고 4
 
3.8%
개 3
 
2.8%
Other values (12) 23
21.7%

발생원인 세부사항
Text

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-10T05:34:32.180878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length12.8
Min length2

Characters and Unicode

Total characters640
Distinct characters106
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)56.0%

Sample

1st row아파트 유리창 충돌
2nd row충돌 추정
3rd row미아
4th row미아
5th row인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
ValueCountFrequency (%)
충돌 15
 
8.9%
어미를 13
 
7.7%
잃음 9
 
5.3%
추정 7
 
4.1%
인공구조물을 6
 
3.6%
과정에서 6
 
3.6%
둥지가 6
 
3.6%
훼손 6
 
3.6%
철거하는 6
 
3.6%
중감염 4
 
2.4%
Other values (62) 91
53.8%
2024-01-10T05:34:32.517726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
 
20.6%
미 22
 
3.4%
충 20
 
3.1%
돌 16
 
2.5%
정 15
 
2.3%
음 13
 
2.0%
잃 13
 
2.0%
를 13
 
2.0%
과 13
 
2.0%
에 13
 
2.0%
Other values (96) 370
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 483
75.5%
Space Separator 132
 
20.6%
Other Punctuation 15
 
2.3%
Open Punctuation 5
 
0.8%
Close Punctuation 5
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 22
 
4.6%
충 20
 
4.1%
돌 16
 
3.3%
정 15
 
3.1%
음 13
 
2.7%
잃 13
 
2.7%
를 13
 
2.7%
과 13
 
2.7%
에 13
 
2.7%
어 13
 
2.7%
Other values (91) 332
68.7%
Other Punctuation
ValueCountFrequency (%)
, 11
73.3%
/ 4
 
26.7%
Space Separator
ValueCountFrequency (%)
132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 483
75.5%
Common 157
 
24.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 22
 
4.6%
충 20
 
4.1%
돌 16
 
3.3%
정 15
 
3.1%
음 13
 
2.7%
잃 13
 
2.7%
를 13
 
2.7%
과 13
 
2.7%
에 13
 
2.7%
어 13
 
2.7%
Other values (91) 332
68.7%
Common
ValueCountFrequency (%)
132
84.1%
, 11
 
7.0%
( 5
 
3.2%
) 5
 
3.2%
/ 4
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 483
75.5%
ASCII 157
 
24.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
84.1%
, 11
 
7.0%
( 5
 
3.2%
) 5
 
3.2%
/ 4
 
2.5%
Hangul
ValueCountFrequency (%)
미 22
 
4.6%
충 20
 
4.1%
돌 16
 
3.3%
정 15
 
3.1%
음 13
 
2.7%
잃 13
 
2.7%
를 13
 
2.7%
과 13
 
2.7%
에 13
 
2.7%
어 13
 
2.7%
Other values (91) 332
68.7%

구조위도(TM구조위도)
Text

MISSING 

Distinct24
Distinct (%)88.9%
Missing23
Missing (%)46.0%
Memory size532.0 B
2024-01-10T05:34:32.661687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters270
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)81.5%

Sample

1st row36 17 10.0
2nd row36 17 16.2
3rd row36 17 16.2
4th row36 17 16.2
5th row36 19 02.1
ValueCountFrequency (%)
36 27
33.3%
16 12
14.8%
17 7
 
8.6%
16.2 3
 
3.7%
15 3
 
3.7%
18 2
 
2.5%
14 2
 
2.5%
48.4 2
 
2.5%
48.2 1
 
1.2%
45.2 1
 
1.2%
Other values (21) 21
25.9%
2024-01-10T05:34:32.912829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
20.0%
6 46
17.0%
1 41
15.2%
3 36
13.3%
. 27
10.0%
4 13
 
4.8%
2 12
 
4.4%
0 12
 
4.4%
7 8
 
3.0%
8 8
 
3.0%
Other values (2) 13
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 189
70.0%
Space Separator 54
 
20.0%
Other Punctuation 27
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 46
24.3%
1 41
21.7%
3 36
19.0%
4 13
 
6.9%
2 12
 
6.3%
0 12
 
6.3%
7 8
 
4.2%
8 8
 
4.2%
5 8
 
4.2%
9 5
 
2.6%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Punctuation
ValueCountFrequency (%)
. 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
54
20.0%
6 46
17.0%
1 41
15.2%
3 36
13.3%
. 27
10.0%
4 13
 
4.8%
2 12
 
4.4%
0 12
 
4.4%
7 8
 
3.0%
8 8
 
3.0%
Other values (2) 13
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
20.0%
6 46
17.0%
1 41
15.2%
3 36
13.3%
. 27
10.0%
4 13
 
4.8%
2 12
 
4.4%
0 12
 
4.4%
7 8
 
3.0%
8 8
 
3.0%
Other values (2) 13
 
4.8%

구조경도(TM구조경도)
Text

MISSING 

Distinct24
Distinct (%)88.9%
Missing23
Missing (%)46.0%
Memory size532.0 B
2024-01-10T05:34:33.061278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters297
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)81.5%

Sample

1st row127 14 22.9
2nd row127 13 47.2
3rd row127 13 47.2
4th row127 13 47.2
5th row127 14 25.1
ValueCountFrequency (%)
127 27
33.3%
15 9
 
11.1%
14 9
 
11.1%
13 6
 
7.4%
16 3
 
3.7%
47.2 3
 
3.7%
15.3 2
 
2.5%
12.4 1
 
1.2%
58.9 1
 
1.2%
37.5 1
 
1.2%
Other values (19) 19
23.5%
2024-01-10T05:34:33.313619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 64
21.5%
54
18.2%
2 40
13.5%
7 32
10.8%
. 27
9.1%
5 21
 
7.1%
4 20
 
6.7%
3 19
 
6.4%
6 7
 
2.4%
8 5
 
1.7%
Other values (2) 8
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 216
72.7%
Space Separator 54
 
18.2%
Other Punctuation 27
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 64
29.6%
2 40
18.5%
7 32
14.8%
5 21
 
9.7%
4 20
 
9.3%
3 19
 
8.8%
6 7
 
3.2%
8 5
 
2.3%
0 5
 
2.3%
9 3
 
1.4%
Space Separator
ValueCountFrequency (%)
54
100.0%
Other Punctuation
ValueCountFrequency (%)
. 27
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 297
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 64
21.5%
54
18.2%
2 40
13.5%
7 32
10.8%
. 27
9.1%
5 21
 
7.1%
4 20
 
6.7%
3 19
 
6.4%
6 7
 
2.4%
8 5
 
1.7%
Other values (2) 8
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 297
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 64
21.5%
54
18.2%
2 40
13.5%
7 32
10.8%
. 27
9.1%
5 21
 
7.1%
4 20
 
6.7%
3 19
 
6.4%
6 7
 
2.4%
8 5
 
1.7%
Other values (2) 8
 
2.7%

방생위도(TM방생위도)
Text

MISSING 

Distinct4
Distinct (%)66.7%
Missing44
Missing (%)88.0%
Memory size532.0 B
2024-01-10T05:34:33.434017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters60
Distinct characters10
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row36 40 13.4
2nd row36 40 13.3
3rd row36 40 13.4
4th row36 16 11.9
5th row36 54 11.8
ValueCountFrequency (%)
36 6
33.3%
40 3
16.7%
13.4 2
 
11.1%
54 2
 
11.1%
11.8 2
 
11.1%
13.3 1
 
5.6%
16 1
 
5.6%
11.9 1
 
5.6%
2024-01-10T05:34:33.651043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
20.0%
3 10
16.7%
1 10
16.7%
6 7
11.7%
4 7
11.7%
. 6
10.0%
0 3
 
5.0%
5 2
 
3.3%
8 2
 
3.3%
9 1
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 42
70.0%
Space Separator 12
 
20.0%
Other Punctuation 6
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 10
23.8%
1 10
23.8%
6 7
16.7%
4 7
16.7%
0 3
 
7.1%
5 2
 
4.8%
8 2
 
4.8%
9 1
 
2.4%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
12
20.0%
3 10
16.7%
1 10
16.7%
6 7
11.7%
4 7
11.7%
. 6
10.0%
0 3
 
5.0%
5 2
 
3.3%
8 2
 
3.3%
9 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
20.0%
3 10
16.7%
1 10
16.7%
6 7
11.7%
4 7
11.7%
. 6
10.0%
0 3
 
5.0%
5 2
 
3.3%
8 2
 
3.3%
9 1
 
1.7%

방생경도(TM방생경도)
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing44
Missing (%)88.0%
Memory size532.0 B
2024-01-10T05:34:33.763072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters66
Distinct characters9
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)16.7%

Sample

1st row126 51 45.7
2nd row126 51 45.7
3rd row126 51 45.7
4th row127 16 06.4
5th row126 45 07.2
ValueCountFrequency (%)
126 5
27.8%
51 3
16.7%
45.7 3
16.7%
45 2
 
11.1%
07.2 2
 
11.1%
127 1
 
5.6%
16 1
 
5.6%
06.4 1
 
5.6%
2024-01-10T05:34:33.990635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
18.2%
1 10
15.2%
2 8
12.1%
5 8
12.1%
6 7
10.6%
4 6
9.1%
. 6
9.1%
7 6
9.1%
0 3
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48
72.7%
Space Separator 12
 
18.2%
Other Punctuation 6
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 10
20.8%
2 8
16.7%
5 8
16.7%
6 7
14.6%
4 6
12.5%
7 6
12.5%
0 3
 
6.2%
Space Separator
ValueCountFrequency (%)
12
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
12
18.2%
1 10
15.2%
2 8
12.1%
5 8
12.1%
6 7
10.6%
4 6
9.1%
. 6
9.1%
7 6
9.1%
0 3
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12
18.2%
1 10
15.2%
2 8
12.1%
5 8
12.1%
6 7
10.6%
4 6
9.1%
. 6
9.1%
7 6
9.1%
0 3
 
4.5%

등록체중
Text

Distinct43
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-10T05:34:34.153790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.1
Min length1

Characters and Unicode

Total characters155
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

Unique40 ?
Unique (%)80.0%

Sample

1st row58
2nd row118
3rd row110
4th row8
5th row9
ValueCountFrequency (%)
9 6
 
12.0%
138 2
 
4.0%
108 2
 
4.0%
678 1
 
2.0%
154 1
 
2.0%
4,460 1
 
2.0%
58 1
 
2.0%
184 1
 
2.0%
17000 1
 
2.0%
7680 1
 
2.0%
Other values (33) 33
66.0%
2024-01-10T05:34:34.446784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 28
18.1%
0 27
17.4%
4 19
12.3%
8 16
10.3%
6 15
9.7%
9 11
 
7.1%
2 10
 
6.5%
5 9
 
5.8%
3 8
 
5.2%
7 7
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 150
96.8%
Other Punctuation 5
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 28
18.7%
0 27
18.0%
4 19
12.7%
8 16
10.7%
6 15
10.0%
9 11
 
7.3%
2 10
 
6.7%
5 9
 
6.0%
3 8
 
5.3%
7 7
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 155
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 28
18.1%
0 27
17.4%
4 19
12.3%
8 16
10.3%
6 15
9.7%
9 11
 
7.1%
2 10
 
6.5%
5 9
 
5.8%
3 8
 
5.2%
7 7
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 155
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 28
18.1%
0 27
17.4%
4 19
12.3%
8 16
10.3%
6 15
9.7%
9 11
 
7.1%
2 10
 
6.5%
5 9
 
5.8%
3 8
 
5.2%
7 7
 
4.5%

현재체중
Text

Distinct47
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-10T05:34:34.655800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.34
Min length1

Characters and Unicode

Total characters167
Distinct characters12
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

Unique44 ?
Unique (%)88.0%

Sample

1st row50
2nd row118
3rd row110
4th row11
5th row17
ValueCountFrequency (%)
110 2
 
4.0%
18 2
 
4.0%
108 2
 
4.0%
20,980 1
 
2.0%
274 1
 
2.0%
678 1
 
2.0%
50 1
 
2.0%
100 1
 
2.0%
15960 1
 
2.0%
17000 1
 
2.0%
Other values (37) 37
74.0%
2024-01-10T05:34:34.966728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
21.0%
0 32
19.2%
6 18
10.8%
4 18
10.8%
8 15
9.0%
2 11
 
6.6%
5 11
 
6.6%
7 8
 
4.8%
3 7
 
4.2%
9 6
 
3.6%
Other values (2) 6
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 161
96.4%
Other Punctuation 6
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
21.7%
0 32
19.9%
6 18
11.2%
4 18
11.2%
8 15
9.3%
2 11
 
6.8%
5 11
 
6.8%
7 8
 
5.0%
3 7
 
4.3%
9 6
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
. 1
 
16.7%

Most occurring scripts

ValueCountFrequency (%)
Common 167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
21.0%
0 32
19.2%
6 18
10.8%
4 18
10.8%
8 15
9.0%
2 11
 
6.6%
5 11
 
6.6%
7 8
 
4.8%
3 7
 
4.2%
9 6
 
3.6%
Other values (2) 6
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
21.0%
0 32
19.2%
6 18
10.8%
4 18
10.8%
8 15
9.0%
2 11
 
6.6%
5 11
 
6.6%
7 8
 
4.8%
3 7
 
4.2%
9 6
 
3.6%
Other values (2) 6
 
3.6%

임상적최종진단
Text

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-01-10T05:34:35.231762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length28
Mean length15.56
Min length2

Characters and Unicode

Total characters778
Distinct characters157
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)64.0%

Sample

1st row충돌에 의한 내부 장기 손상(추정) 및 척추 손상 의심
2nd row척추 골절
3rd row미아 개체
4th row미아
5th row인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
ValueCountFrequency (%)
및 11
 
5.1%
미아 10
 
4.6%
의한 9
 
4.1%
인공구조물을 6
 
2.8%
충돌에 6
 
2.8%
과정에서 6
 
2.8%
둥지가 6
 
2.8%
훼손 6
 
2.8%
어미를 6
 
2.8%
잃음 6
 
2.8%
Other values (94) 145
66.8%
2024-01-10T05:34:35.625907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
 
22.6%
골 19
 
2.4%
미 17
 
2.2%
절 16
 
2.1%
에 16
 
2.1%
한 14
 
1.8%
상 14
 
1.8%
의 12
 
1.5%
아 12
 
1.5%
, 12
 
1.5%
Other values (147) 470
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 537
69.0%
Space Separator 176
 
22.6%
Lowercase Letter 32
 
4.1%
Other Punctuation 16
 
2.1%
Uppercase Letter 5
 
0.6%
Decimal Number 5
 
0.6%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 19
 
3.5%
미 17
 
3.2%
절 16
 
3.0%
에 16
 
3.0%
한 14
 
2.6%
상 14
 
2.6%
의 12
 
2.2%
아 12
 
2.2%
손 11
 
2.0%
측 11
 
2.0%
Other values (121) 395
73.6%
Lowercase Letter
ValueCountFrequency (%)
u 4
12.5%
n 4
12.5%
t 4
12.5%
a 3
9.4%
o 2
 
6.2%
i 2
 
6.2%
s 2
 
6.2%
l 2
 
6.2%
c 2
 
6.2%
e 2
 
6.2%
Other values (4) 5
15.6%
Other Punctuation
ValueCountFrequency (%)
, 12
75.0%
. 2
 
12.5%
/ 2
 
12.5%
Decimal Number
ValueCountFrequency (%)
5 3
60.0%
6 1
 
20.0%
4 1
 
20.0%
Uppercase Letter
ValueCountFrequency (%)
L 4
80.0%
R 1
 
20.0%
Space Separator
ValueCountFrequency (%)
176
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 537
69.0%
Common 204
 
26.2%
Latin 37
 
4.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 19
 
3.5%
미 17
 
3.2%
절 16
 
3.0%
에 16
 
3.0%
한 14
 
2.6%
상 14
 
2.6%
의 12
 
2.2%
아 12
 
2.2%
손 11
 
2.0%
측 11
 
2.0%
Other values (121) 395
73.6%
Latin
ValueCountFrequency (%)
u 4
10.8%
n 4
10.8%
t 4
10.8%
L 4
10.8%
a 3
 
8.1%
o 2
 
5.4%
i 2
 
5.4%
s 2
 
5.4%
l 2
 
5.4%
c 2
 
5.4%
Other values (6) 8
21.6%
Common
ValueCountFrequency (%)
176
86.3%
, 12
 
5.9%
( 3
 
1.5%
) 3
 
1.5%
5 3
 
1.5%
. 2
 
1.0%
/ 2
 
1.0%
6 1
 
0.5%
4 1
 
0.5%
~ 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 537
69.0%
ASCII 241
31.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
73.0%
, 12
 
5.0%
u 4
 
1.7%
n 4
 
1.7%
t 4
 
1.7%
L 4
 
1.7%
( 3
 
1.2%
) 3
 
1.2%
5 3
 
1.2%
a 3
 
1.2%
Other values (16) 25
 
10.4%
Hangul
ValueCountFrequency (%)
골 19
 
3.5%
미 17
 
3.2%
절 16
 
3.0%
에 16
 
3.0%
한 14
 
2.6%
상 14
 
2.6%
의 12
 
2.2%
아 12
 
2.2%
손 11
 
2.0%
측 11
 
2.0%
Other values (121) 395
73.6%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-1450오색딱다구리조강(Aves)딱다구리목딱다구리과해당없음해당없음해당없음2019-09-242019-10-10방생충청남도 천안시<NA>UnknownJuvenile<NA><NA><NA><NA><NA><NA>충청남도 계룡시건물옆전선/건물과의 충돌아파트 유리창 충돌<NA><NA><NA><NA>5850충돌에 의한 내부 장기 손상(추정) 및 척추 손상 의심
12019-1216멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-07-292019-07-29안락사<NA>기타UnknownJuvenile36.286111127.239694141<NA><NA>(엄사중앙로 65-9) 주소지 부근 건물 옆충청남도 계룡시 엄사면 엄사리 367건물옆전선/건물과의 충돌충돌 추정36 17 10.0127 14 22.9<NA><NA>118118척추 골절
22019-0376까치조강(Aves)참새목까마귀과해당없음해당없음해당없음2019-05-082019-05-08DOA<NA>기타UnknownJuvenile<NA><NA><NA><NA><NA><NA>충청남도 계룡시도로변어미를 잃음(미아)미아<NA><NA><NA><NA>110110미아 개체
32019-0893박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-06-272019-07-11폐사<NA>기타UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 계룡시건물옆어미를 잃음(미아)미아<NA><NA><NA><NA>811미아
42019-0341참새조강(Aves)참새목참새과해당없음해당없음해당없음2019-05-032019-05-23방생충청남도 예산군<NA>UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 계룡시건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음<NA><NA><NA><NA>917인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
52019-0342참새조강(Aves)참새목참새과해당없음해당없음해당없음2019-05-032019-05-17폐사<NA>기타UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 계룡시건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음<NA><NA><NA><NA>910인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
62019-0343참새조강(Aves)참새목참새과해당없음해당없음해당없음2019-05-032019-05-23방생충청남도 예산군<NA>UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 계룡시건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음<NA><NA><NA><NA>916인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
72019-0344참새조강(Aves)참새목참새과해당없음해당없음해당없음2019-05-032019-05-23방생충청남도 예산군 예산읍 대회리 1<NA>UnknownNestling36.287833127.22977813536.670081126.859666(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.236 40 13.4126 51 45.7918인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
82019-0345참새조강(Aves)참새목참새과해당없음해당없음해당없음2019-05-032019-05-23방생충청남도 예산군 예산읍 대회리 1<NA>UnknownNestling36.287833127.22977813536.670081126.859666(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.236 40 13.3126 51 45.7918인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
92019-0346참새조강(Aves)참새목참새과해당없음해당없음해당없음2019-05-032019-05-23방생충청남도 예산군 예산읍 대회리 1<NA>UnknownNestling36.287833127.22977813536.670081126.859666(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.236 40 13.4126 51 45.7914인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
402022-0819어치조강(Aves)참새목까마귀과해당없음해당없음해당없음2022-05-182022-06-13방생충남 예산군 대흥면 갈신리 산 53<NA>UnknownJuvenile36.16.132127.14.538130<NA><NA>우림아파트 인근충남 계룡시 장안로 75건물옆어미를 잃음(미아)어미를 잃음(미아)/미아<NA><NA><NA><NA>98110단순 미아
412022-1790어치조강(Aves)참새목까마귀과해당없음해당없음해당없음2022-07-292022-07-31폐사<NA>폐기UnknownNestling36.16.272127.14.557139<NA><NA>계룡시청 왼편 녹지대충남 계룡시 장안로 46건물옆어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>7469.96균형을 잘 잡지 못하는 미아
422022-1662파랑새조강(Aves)파랑새목파랑새과해당없음해당없음해당없음2022-07-172022-08-16방생충남 예산군 예산읍 산성리 275-13<NA>UnknownJuvenile36.17.261127.14.175148<NA><NA><NA>충남 계룡시 엄사면 엄사리 128-13건물옆전선/건물과의 충돌유리구조물 충돌<NA><NA><NA><NA>134154경미한 뇌진탕
432022-2205황로조강(Aves)황새목왜가리과해당없음해당없음해당없음2022-10-192022-10-19안락사<NA>기타(협조)UnknownUnknown36.15.278127.12.313128<NA><NA>도곡저수지 인근 논충남 계룡시 엄사면 도곡리 409농경지전선/건물과의 충돌전선과의 충돌<NA><NA><NA><NA>336336우측 요척골 골절 및 골단 괴사
442022-1161고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-06-072022-06-07안락사<NA>폐기Unknown0년0월0일36.15.152127.15.106133<NA><NA>주소지 인근 농경지충남 계룡시 두마면 농소리 277-2농경지기타기타/예초기에 의한 신체 손상<NA><NA><NA><NA>1,7901,790Lt. Rt. calcanius tendon rupture, 좌측 경비골 골절
452022-1401고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-06-242022-06-24안락사<NA>폐기Unknown0년0월0일36.18.007127.13.512157<NA><NA>우수 집수정충남 계룡시 신도안면 정장리 268도로변인공구조물 침입·고립인공구조물 침입 및 고립/우수 집수정 고립<NA><NA><NA><NA>1,3161,316안구, 좌측귀, 온몸 피부 승저증
462022-2240고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-10-302022-10-30폐사체<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Female0년0월0일36.18.348127.15.059169<NA><NA>도로변충남 계룡시 신도안면 남선리 1347건물옆차량과의 충돌차량과의 충돌<NA><NA><NA><NA>20,98020,980L4 5 골절
472022-1672너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-182022-07-19DOA<NA>냉동(신냉동창고)(투입박스(일반))Female0년0월0일36.23.418127.08.46654<NA><NA>농경지 옆 수풀충남 공주시 계룡면 기산리 263-2농경지기아 및 탈진기아 및 탈진<NA><NA><NA><NA>678678심한 기아 탈진
482022-2289너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-082022-11-11폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.16.132127.14.538130<NA><NA>우림루미아트아파트 103동 뒤 배수로충남 계룡시 금암동 167-1건물옆기생충 중감염개선충 중감염<NA><NA><NA><NA>4,4604,460개선충 중감염
492022-0607오소리포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-05-072022-05-07안락사<NA>냉동(신냉동창고)(선반)Male0년0월0일36.16.007127.12.52383<NA><NA>하천충남 계룡시 엄사면 도곡리 109-10강, 바다알 수 없는 사고알 수 없는 사고<NA><NA><NA><NA>4,0004,000알 수 없는 사고로 인한 머리쪽 피부 열상, 승저증