Overview

Dataset statistics

Number of variables32
Number of observations173
Missing cells531
Missing cells (%)9.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory43.9 KiB
Average record size in memory259.8 B

Variable types

Text12
Categorical15
DateTime2
Numeric3

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 서천군 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=69&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109274

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 is highly imbalanced (57.9%)Imbalance
TM방생위도 is highly imbalanced (65.9%)Imbalance
방생위도 has 138 (79.8%) missing valuesMissing
방생경도 has 138 (79.8%) missing valuesMissing
발견장소상세 has 15 (8.7%) missing valuesMissing
TM구조위도 has 49 (28.3%) missing valuesMissing
TM구조경도 has 49 (28.3%) missing valuesMissing
TM방생경도 has 138 (79.8%) missing valuesMissing
임상적최종진단 has 4 (2.3%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 7 (4.0%) zerosZeros

Reproduction

Analysis started2024-01-09 22:30:17.401517
Analysis finished2024-01-09 22:30:18.028667
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct173
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:18.218556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters1557
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

Unique173 ?
Unique (%)100.0%

Sample

1st row2019-0023
2nd row2019-0560
3rd row2019-0561
4th row2019-0562
5th row2019-0563
ValueCountFrequency (%)
2019-0023 1
 
0.6%
2021-0635 1
 
0.6%
2021-0637 1
 
0.6%
2021-0638 1
 
0.6%
2021-0639 1
 
0.6%
2021-0640 1
 
0.6%
2021-0641 1
 
0.6%
2021-0642 1
 
0.6%
2021-1115 1
 
0.6%
2021-1582 1
 
0.6%
Other values (163) 163
94.2%
2024-01-10T07:30:18.589549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 412
26.5%
0 321
20.6%
1 235
15.1%
- 173
11.1%
9 83
 
5.3%
3 68
 
4.4%
6 64
 
4.1%
4 57
 
3.7%
7 55
 
3.5%
8 46
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1384
88.9%
Dash Punctuation 173
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 412
29.8%
0 321
23.2%
1 235
17.0%
9 83
 
6.0%
3 68
 
4.9%
6 64
 
4.6%
4 57
 
4.1%
7 55
 
4.0%
8 46
 
3.3%
5 43
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 173
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1557
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 412
26.5%
0 321
20.6%
1 235
15.1%
- 173
11.1%
9 83
 
5.3%
3 68
 
4.4%
6 64
 
4.1%
4 57
 
3.7%
7 55
 
3.5%
8 46
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1557
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 412
26.5%
0 321
20.6%
1 235
15.1%
- 173
11.1%
9 83
 
5.3%
3 68
 
4.4%
6 64
 
4.1%
4 57
 
3.7%
7 55
 
3.5%
8 46
 
3.0%

동물국문명
Categorical

Distinct30
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
너구리
37 
고라니
33 
참새
15 
꿩
14 
왜가리
10 
Other values (25)
64 

Length

Max length7
Median length3
Mean length3.0404624
Min length1

Unique

Unique11 ?
Unique (%)6.4%

Sample

1st row쇠기러기
2nd row꿩
3rd row꿩
4th row꿩
5th row꿩

Common Values

ValueCountFrequency (%)
너구리 37
21.4%
고라니 33
19.1%
참새 15
8.7%
꿩 14
 
8.1%
왜가리 10
 
5.8%
멧비둘기 9
 
5.2%
흰뺨검둥오리 7
 
4.0%
괭이갈매기 6
 
3.5%
중백로 5
 
2.9%
어치 5
 
2.9%
Other values (20) 32
18.5%

Length

2024-01-10T07:30:18.711023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
너구리 37
21.4%
고라니 33
19.1%
참새 15
8.7%
꿩 14
 
8.1%
왜가리 10
 
5.8%
멧비둘기 9
 
5.2%
흰뺨검둥오리 7
 
4.0%
괭이갈매기 6
 
3.5%
중백로 5
 
2.9%
어치 5
 
2.9%
Other values (20) 32
18.5%

강
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
조강(Aves)
99 
포유강(Mammalia)
74 

Length

Max length13
Median length8
Mean length10.138728
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) 99
57.2%
포유강(Mammalia) 74
42.8%

Length

2024-01-10T07:30:18.820183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:18.907868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 99
57.2%
포유강(mammalia 74
42.8%

목
Categorical

Distinct12
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
식육목
38 
소목
33 
참새목
30 
황새목
26 
닭목
14 
Other values (7)
32 

Length

Max length5
Median length3
Mean length2.867052
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row기러기목
2nd row닭목
3rd row닭목
4th row닭목
5th row닭목

Common Values

ValueCountFrequency (%)
식육목 38
22.0%
소목 33
19.1%
참새목 30
17.3%
황새목 26
15.0%
닭목 14
 
8.1%
기러기목 9
 
5.2%
비둘기목 9
 
5.2%
도요목 7
 
4.0%
딱다구리목 2
 
1.2%
파랑새목 2
 
1.2%
Other values (2) 3
 
1.7%

Length

2024-01-10T07:30:19.028656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식육목 38
22.0%
소목 33
19.1%
참새목 30
17.3%
황새목 26
15.0%
닭목 14
 
8.1%
기러기목 9
 
5.2%
비둘기목 9
 
5.2%
도요목 7
 
4.0%
딱다구리목 2
 
1.2%
파랑새목 2
 
1.2%
Other values (2) 3
 
1.7%

과
Categorical

Distinct20
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
개과
37 
사슴과
33 
왜가리과
26 
참새과
15 
꿩과
14 
Other values (15)
48 

Length

Max length5
Median length4
Mean length3.0867052
Min length2

Unique

Unique6 ?
Unique (%)3.5%

Sample

1st row오리과
2nd row꿩과
3rd row꿩과
4th row꿩과
5th row꿩과

Common Values

ValueCountFrequency (%)
개과 37
21.4%
사슴과 33
19.1%
왜가리과 26
15.0%
참새과 15
8.7%
꿩과 14
 
8.1%
오리과 9
 
5.2%
비둘기과 9
 
5.2%
까마귀과 8
 
4.6%
갈매기과 6
 
3.5%
박새과 2
 
1.2%
Other values (10) 14
 
8.1%

Length

2024-01-10T07:30:19.156080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개과 37
21.4%
사슴과 33
19.1%
왜가리과 26
15.0%
참새과 15
8.7%
꿩과 14
 
8.1%
오리과 9
 
5.2%
비둘기과 9
 
5.2%
까마귀과 8
 
4.6%
갈매기과 6
 
3.5%
딱다구리과 2
 
1.2%
Other values (10) 14
 
8.1%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
해당없음
173 

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 173
100.0%

Length

2024-01-10T07:30:19.266085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:19.348530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 173
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
해당없음
173 

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 173
100.0%

Length

2024-01-10T07:30:19.434792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:19.515150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 173
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
해당없음
173 

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 173
100.0%

Length

2024-01-10T07:30:19.604542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:19.697133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 173
100.0%

구조일시
Date

Distinct138
Distinct (%)79.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2019-01-03 00:00:00
Maximum2022-12-26 00:00:00
2024-01-10T07:30:19.788601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:19.911090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct132
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2019-01-04 00:00:00
Maximum2023-02-27 00:00:00
2024-01-10T07:30:20.049355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:20.176707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
안락사
49 
방생
47 
DOA
36 
폐사체
23 
폐사
17 

Length

Max length3
Median length3
Mean length2.6242775
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
안락사 49
28.3%
방생 47
27.2%
DOA 36
20.8%
폐사체 23
13.3%
폐사 17
 
9.8%
기타 1
 
0.6%

Length

2024-01-10T07:30:20.299867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:20.405004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
안락사 49
28.3%
방생 47
27.2%
doa 36
20.8%
폐사체 23
13.3%
폐사 17
 
9.8%
기타 1
 
0.6%

이첩 방생 위치
Categorical

IMBALANCE 

Distinct24
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
126 
충청남도 예산군 대흥면 대야리 산 12-11
 
8
충청남도 서천군 문산면 문장리 산 56-7
 
8
충남 예산군 오가면 원평리 721
 
5
세종특별자치시 금남면 남곡리 386
 
3
Other values (19)
23 

Length

Max length37
Median length4
Mean length8.9075145
Min length4

Unique

Unique16 ?
Unique (%)9.2%

Sample

1st row<NA>
2nd row충청남도 예산군 대흥면 대야리 산 12-11
3rd row충청남도 예산군 대흥면 대야리 산 12-11
4th row충청남도 예산군 대흥면 대야리 산 12-11
5th row충청남도 예산군 대흥면 대야리 산 12-11

Common Values

ValueCountFrequency (%)
<NA> 126
72.8%
충청남도 예산군 대흥면 대야리 산 12-11 8
 
4.6%
충청남도 서천군 문산면 문장리 산 56-7 8
 
4.6%
충남 예산군 오가면 원평리 721 5
 
2.9%
세종특별자치시 금남면 남곡리 386 3
 
1.7%
충청남도 서천군 마서면 송내리 753 복원생태관 3
 
1.7%
충청남도 예산군 예산읍 대회리 1 2
 
1.2%
충청남도 서천군 마서면 송내리 755 2
 
1.2%
충청남도 서천군 종천면 지석리 7-2 1
 
0.6%
충청남도 청양군 청양읍 벽천리 569 1
 
0.6%
Other values (14) 14
 
8.1%

Length

2024-01-10T07:30:20.550011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 126
32.9%
충청남도 32
 
8.4%
서천군 21
 
5.5%
예산군 20
 
5.2%
산 19
 
5.0%
충남 12
 
3.1%
대흥면 9
 
2.3%
대야리 9
 
2.3%
12-11 9
 
2.3%
마서면 8
 
2.1%
Other values (60) 118
30.8%

사체처리
Categorical

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
기타
92 
<NA>
48 
폐기
15 
냉동(신냉동창고)(투입박스(일반))
 
7
기타(협조)
 
6
Other values (2)
 
5

Length

Max length24
Median length2
Mean length3.9884393
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
기타 92
53.2%
<NA> 48
27.7%
폐기 15
 
8.7%
냉동(신냉동창고)(투입박스(일반)) 7
 
4.0%
기타(협조) 6
 
3.5%
냉동(구냉동창고)(성체고라니, 개선충너구리) 4
 
2.3%
냉동(신냉동창고)(투입박스(천기)) 1
 
0.6%

Length

2024-01-10T07:30:20.682243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:20.789838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 92
52.0%
na 48
27.1%
폐기 15
 
8.5%
냉동(신냉동창고)(투입박스(일반 7
 
4.0%
기타(협조 6
 
3.4%
냉동(구냉동창고)(성체고라니 4
 
2.3%
개선충너구리 4
 
2.3%
냉동(신냉동창고)(투입박스(천기 1
 
0.6%

동물성별
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Unknown
109 
Female
33 
Male
31 

Length

Max length7
Median length7
Mean length6.2716763
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 109
63.0%
Female 33
 
19.1%
Male 31
 
17.9%

Length

2024-01-10T07:30:20.915272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:21.006255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 109
63.0%
female 33
 
19.1%
male 31
 
17.9%

동물연령
Categorical

Distinct20
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0년0월0일
39 
Juvenile
30 
Nestling
27 
Adult
24 
Unknown
18 
Other values (15)
35 

Length

Max length8
Median length7
Mean length6.6416185
Min length5

Unique

Unique6 ?
Unique (%)3.5%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 39
22.5%
Juvenile 30
17.3%
Nestling 27
15.6%
Adult 24
13.9%
Unknown 18
10.4%
0년0월3일 7
 
4.0%
0년1월0일 4
 
2.3%
0년3월0일 4
 
2.3%
0년6월0일 3
 
1.7%
0년7월0일 3
 
1.7%
Other values (10) 14
 
8.1%

Length

2024-01-10T07:30:21.104616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 39
22.5%
juvenile 30
17.3%
nestling 27
15.6%
adult 24
13.9%
unknown 18
10.4%
0년0월3일 7
 
4.0%
0년1월0일 4
 
2.3%
0년3월0일 4
 
2.3%
0년6월0일 3
 
1.7%
0년7월0일 3
 
1.7%
Other values (10) 14
 
8.1%

구조위도
Text

Distinct130
Distinct (%)75.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:21.598658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8150289
Min length1

Characters and Unicode

Total characters1525
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

Unique116 ?
Unique (%)67.1%

Sample

1st row36.184056
2nd row36.120028
3rd row36.120028
4th row36.120028
5th row36.120028
ValueCountFrequency (%)
36.120028 11
 
6.4%
36.032444 8
 
4.6%
36.01.184 5
 
2.9%
36.030111 5
 
2.9%
36.080389 4
 
2.3%
36.043333 4
 
2.3%
36.030056 4
 
2.3%
36.072556 4
 
2.3%
0 2
 
1.2%
36.029167 2
 
1.2%
Other values (120) 124
71.7%
2024-01-10T07:30:21.985542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 269
17.6%
6 230
15.1%
. 220
14.4%
0 213
14.0%
1 138
9.0%
4 110
7.2%
8 92
 
6.0%
2 90
 
5.9%
5 62
 
4.1%
7 51
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1305
85.6%
Other Punctuation 220
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 269
20.6%
6 230
17.6%
0 213
16.3%
1 138
10.6%
4 110
8.4%
8 92
 
7.0%
2 90
 
6.9%
5 62
 
4.8%
7 51
 
3.9%
9 50
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1525
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 269
17.6%
6 230
15.1%
. 220
14.4%
0 213
14.0%
1 138
9.0%
4 110
7.2%
8 92
 
6.0%
2 90
 
5.9%
5 62
 
4.1%
7 51
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1525
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 269
17.6%
6 230
15.1%
. 220
14.4%
0 213
14.0%
1 138
9.0%
4 110
7.2%
8 92
 
6.0%
2 90
 
5.9%
5 62
 
4.1%
7 51
 
3.3%

구조경도
Text

Distinct128
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:22.239187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.7572254
Min length1

Characters and Unicode

Total characters1688
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

Unique112 ?
Unique (%)64.7%

Sample

1st row126.549611
2nd row126.792556
3rd row126.792556
4th row126.792556
5th row126.792556
ValueCountFrequency (%)
126.792556 11
 
6.4%
126.747806 8
 
4.6%
126.39.585 5
 
2.9%
126.720167 5
 
2.9%
126.681417 4
 
2.3%
126.682917 4
 
2.3%
126.691694 4
 
2.3%
126.7225 4
 
2.3%
126.692389 2
 
1.2%
126.709167 2
 
1.2%
Other values (118) 124
71.7%
2024-01-10T07:30:22.608984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 309
18.3%
2 281
16.6%
1 255
15.1%
. 220
13.0%
7 121
 
7.2%
5 103
 
6.1%
4 101
 
6.0%
9 88
 
5.2%
8 81
 
4.8%
3 66
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1468
87.0%
Other Punctuation 220
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 309
21.0%
2 281
19.1%
1 255
17.4%
7 121
 
8.2%
5 103
 
7.0%
4 101
 
6.9%
9 88
 
6.0%
8 81
 
5.5%
3 66
 
4.5%
0 63
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 309
18.3%
2 281
16.6%
1 255
15.1%
. 220
13.0%
7 121
 
7.2%
5 103
 
6.1%
4 101
 
6.0%
9 88
 
5.2%
8 81
 
4.8%
3 66
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 309
18.3%
2 281
16.6%
1 255
15.1%
. 220
13.0%
7 121
 
7.2%
5 103
 
6.1%
4 101
 
6.0%
9 88
 
5.2%
8 81
 
4.8%
3 66
 
3.9%

구조고도
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.971098
Minimum0
Maximum252
Zeros7
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-10T07:30:22.738405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q16
median13
Q325
95-th percentile50
Maximum252
Range252
Interquartile range (IQR)19

Descriptive statistics

Standard deviation23.910791
Coefficient of variation (CV)1.2603799
Kurtosis54.118488
Mean18.971098
Median Absolute Deviation (MAD)7
Skewness6.1394227
Sum3282
Variance571.7259
MonotonicityNot monotonic
2024-01-10T07:30:22.848150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
6 14
 
8.1%
4 14
 
8.1%
12 14
 
8.1%
30 13
 
7.5%
13 12
 
6.9%
11 8
 
4.6%
8 7
 
4.0%
0 7
 
4.0%
25 7
 
4.0%
5 6
 
3.5%
Other values (32) 71
41.0%
ValueCountFrequency (%)
0 7
4.0%
1 1
 
0.6%
3 2
 
1.2%
4 14
8.1%
5 6
3.5%
6 14
8.1%
7 4
 
2.3%
8 7
4.0%
9 5
 
2.9%
10 3
 
1.7%
ValueCountFrequency (%)
252 1
0.6%
126 1
0.6%
73 1
0.6%
58 1
0.6%
55 2
1.2%
51 2
1.2%
50 2
1.2%
48 1
0.6%
46 1
0.6%
45 1
0.6%

방생위도
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)40.0%
Missing138
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean36.330228
Minimum36.010068
Maximum36.724345
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-10T07:30:22.953732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.010068
5-th percentile36.029312
Q136.099537
median36.126273
Q336.613151
95-th percentile36.670081
Maximum36.724345
Range0.71427729
Interquartile range (IQR)0.51361383

Descriptive statistics

Standard deviation0.26671891
Coefficient of variation (CV)0.0073415149
Kurtosis-1.8816826
Mean36.330228
Median Absolute Deviation (MAD)0.11620566
Skewness0.1362219
Sum1271.558
Variance0.071138975
MonotonicityNot monotonic
2024-01-10T07:30:23.050952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
36.61315107 9
 
5.2%
36.12627336 8
 
4.6%
36.46605692 3
 
1.7%
36.03056875 3
 
1.7%
36.67008139 2
 
1.2%
36.02931173 2
 
1.2%
36.44256416 1
 
0.6%
36.72434499 1
 
0.6%
36.0100677 1
 
0.6%
36.64925223 1
 
0.6%
Other values (4) 4
 
2.3%
(Missing) 138
79.8%
ValueCountFrequency (%)
36.0100677 1
 
0.6%
36.02931173 2
 
1.2%
36.03056875 3
 
1.7%
36.03697132 1
 
0.6%
36.07847862 1
 
0.6%
36.08139458 1
 
0.6%
36.1176799 1
 
0.6%
36.12627336 8
4.6%
36.44256416 1
 
0.6%
36.46605692 3
 
1.7%
ValueCountFrequency (%)
36.72434499 1
 
0.6%
36.67008139 2
 
1.2%
36.64925223 1
 
0.6%
36.61315107 9
5.2%
36.46605692 3
 
1.7%
36.44256416 1
 
0.6%
36.12627336 8
4.6%
36.1176799 1
 
0.6%
36.08139458 1
 
0.6%
36.07847862 1
 
0.6%

방생경도
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)40.0%
Missing138
Missing (%)79.8%
Infinite0
Infinite (%)0.0%
Mean126.80003
Minimum126.64243
Maximum127.30276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-01-10T07:30:23.157541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64243
5-th percentile126.67165
Q1126.72352
median126.72418
Q3126.81372
95-th percentile127.30276
Maximum127.30276
Range0.6603227
Interquartile range (IQR)0.0902085

Descriptive statistics

Standard deviation0.16563539
Coefficient of variation (CV)0.0013062725
Kurtosis5.7413613
Mean126.80003
Median Absolute Deviation (MAD)0.0519291
Skewness2.5023399
Sum4438.0009
Variance0.027435083
MonotonicityNot monotonic
2024-01-10T07:30:23.247839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
126.8137242 9
 
5.2%
126.7241799 8
 
4.6%
127.3027559 3
 
1.7%
126.7231027 3
 
1.7%
126.8596661 2
 
1.2%
126.7239287 2
 
1.2%
126.8020963 1
 
0.6%
126.7479433 1
 
0.6%
126.6722508 1
 
0.6%
126.6424332 1
 
0.6%
Other values (4) 4
 
2.3%
(Missing) 138
79.8%
ValueCountFrequency (%)
126.6424332 1
 
0.6%
126.6702543 1
 
0.6%
126.6722508 1
 
0.6%
126.6903062 1
 
0.6%
126.69382 1
 
0.6%
126.7201125 1
 
0.6%
126.7231027 3
 
1.7%
126.7239287 2
 
1.2%
126.7241799 8
4.6%
126.7479433 1
 
0.6%
ValueCountFrequency (%)
127.3027559 3
 
1.7%
126.8596661 2
 
1.2%
126.8137242 9
5.2%
126.8020963 1
 
0.6%
126.7479433 1
 
0.6%
126.7241799 8
4.6%
126.7239287 2
 
1.2%
126.7231027 3
 
1.7%
126.7201125 1
 
0.6%
126.69382 1
 
0.6%

발견장소상세
Text

MISSING 

Distinct107
Distinct (%)67.7%
Missing15
Missing (%)8.7%
Memory size1.5 KiB
2024-01-10T07:30:23.559166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length10.056962
Min length1

Characters and Unicode

Total characters1589
Distinct characters191
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique95 ?
Unique (%)60.1%

Sample

1st row부사호 주변 농경지, 주소 정확하지 않음
2nd row(한마로 456-51) 마산면문화활력소 부근
3rd row(한마로 456-51) 마산면문화활력소 부근
4th row(한마로 456-51) 마산면문화활력소 부근
5th row(한마로 456-51) 마산면문화활력소 부근
ValueCountFrequency (%)
부근 28
 
6.5%
주소지 23
 
5.3%
도로변 20
 
4.6%
국립생태원 15
 
3.5%
주소 15
 
3.5%
농경지 14
 
3.2%
마산면문화활력소 11
 
2.5%
456-51 11
 
2.5%
한마로 11
 
2.5%
2층 10
 
2.3%
Other values (146) 275
63.5%
2024-01-10T07:30:23.971759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
285
 
17.9%
주 65
 
4.1%
소 57
 
3.6%
로 56
 
3.5%
지 52
 
3.3%
근 40
 
2.5%
부 34
 
2.1%
도 30
 
1.9%
변 30
 
1.9%
마 28
 
1.8%
Other values (181) 912
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1171
73.7%
Space Separator 285
 
17.9%
Decimal Number 84
 
5.3%
Close Punctuation 16
 
1.0%
Open Punctuation 16
 
1.0%
Dash Punctuation 12
 
0.8%
Other Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 65
 
5.6%
소 57
 
4.9%
로 56
 
4.8%
지 52
 
4.4%
근 40
 
3.4%
부 34
 
2.9%
도 30
 
2.6%
변 30
 
2.6%
마 28
 
2.4%
원 27
 
2.3%
Other values (166) 752
64.2%
Decimal Number
ValueCountFrequency (%)
5 24
28.6%
1 15
17.9%
6 14
16.7%
4 14
16.7%
2 13
15.5%
9 2
 
2.4%
3 1
 
1.2%
7 1
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
285
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1171
73.7%
Common 416
 
26.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 65
 
5.6%
소 57
 
4.9%
로 56
 
4.8%
지 52
 
4.4%
근 40
 
3.4%
부 34
 
2.9%
도 30
 
2.6%
변 30
 
2.6%
마 28
 
2.4%
원 27
 
2.3%
Other values (166) 752
64.2%
Common
ValueCountFrequency (%)
285
68.5%
5 24
 
5.8%
) 16
 
3.8%
( 16
 
3.8%
1 15
 
3.6%
6 14
 
3.4%
4 14
 
3.4%
2 13
 
3.1%
- 12
 
2.9%
, 3
 
0.7%
Other values (3) 4
 
1.0%
Latin
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1171
73.7%
ASCII 418
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
285
68.2%
5 24
 
5.7%
) 16
 
3.8%
( 16
 
3.8%
1 15
 
3.6%
6 14
 
3.3%
4 14
 
3.3%
2 13
 
3.1%
- 12
 
2.9%
, 3
 
0.7%
Other values (5) 6
 
1.4%
Hangul
ValueCountFrequency (%)
주 65
 
5.6%
소 57
 
4.9%
로 56
 
4.8%
지 52
 
4.4%
근 40
 
3.4%
부 34
 
2.9%
도 30
 
2.6%
변 30
 
2.6%
마 28
 
2.4%
원 27
 
2.3%
Other values (166) 752
64.2%

발견주소
Text

Distinct128
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:24.367739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length20.907514
Min length12

Characters and Unicode

Total characters3617
Distinct characters99
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

Unique114 ?
Unique (%)65.9%

Sample

1st row충청남도 서천군 서면 부사리 564
2nd row충청남도 서천군 마산면 신장리 371-1
3rd row충청남도 서천군 마산면 신장리 371-1
4th row충청남도 서천군 마산면 신장리 371-1
5th row충청남도 서천군 마산면 신장리 371-1
ValueCountFrequency (%)
서천군 173
20.2%
충청남도 124
 
14.5%
충남 49
 
5.7%
서천읍 48
 
5.6%
마서면 27
 
3.2%
군사리 26
 
3.0%
장항읍 25
 
2.9%
비인면 18
 
2.1%
마산면 13
 
1.5%
송내리 11
 
1.3%
Other values (199) 342
40.0%
2024-01-10T07:30:24.868737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
692
19.1%
서 262
 
7.2%
천 228
 
6.3%
군 205
 
5.7%
남 179
 
4.9%
충 173
 
4.8%
리 149
 
4.1%
도 132
 
3.6%
청 130
 
3.6%
1 123
 
3.4%
Other values (89) 1344
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2168
59.9%
Space Separator 692
 
19.1%
Decimal Number 636
 
17.6%
Dash Punctuation 121
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 262
12.1%
천 228
10.5%
군 205
 
9.5%
남 179
 
8.3%
충 173
 
8.0%
리 149
 
6.9%
도 132
 
6.1%
청 130
 
6.0%
면 100
 
4.6%
읍 73
 
3.4%
Other values (77) 537
24.8%
Decimal Number
ValueCountFrequency (%)
1 123
19.3%
3 96
15.1%
2 83
13.1%
4 73
11.5%
7 71
11.2%
5 66
10.4%
8 36
 
5.7%
0 30
 
4.7%
9 30
 
4.7%
6 28
 
4.4%
Space Separator
ValueCountFrequency (%)
692
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2168
59.9%
Common 1449
40.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 262
12.1%
천 228
10.5%
군 205
 
9.5%
남 179
 
8.3%
충 173
 
8.0%
리 149
 
6.9%
도 132
 
6.1%
청 130
 
6.0%
면 100
 
4.6%
읍 73
 
3.4%
Other values (77) 537
24.8%
Common
ValueCountFrequency (%)
692
47.8%
1 123
 
8.5%
- 121
 
8.4%
3 96
 
6.6%
2 83
 
5.7%
4 73
 
5.0%
7 71
 
4.9%
5 66
 
4.6%
8 36
 
2.5%
0 30
 
2.1%
Other values (2) 58
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2168
59.9%
ASCII 1449
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
692
47.8%
1 123
 
8.5%
- 121
 
8.4%
3 96
 
6.6%
2 83
 
5.7%
4 73
 
5.0%
7 71
 
4.9%
5 66
 
4.6%
8 36
 
2.5%
0 30
 
2.1%
Other values (2) 58
 
4.0%
Hangul
ValueCountFrequency (%)
서 262
12.1%
천 228
10.5%
군 205
 
9.5%
남 179
 
8.3%
충 173
 
8.0%
리 149
 
6.9%
도 132
 
6.1%
청 130
 
6.0%
면 100
 
4.6%
읍 73
 
3.4%
Other values (77) 537
24.8%

발견장소특징
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
건물옆
81 
도로변
38 
농경지
23 
숲
17 
기타
10 

Length

Max length5
Median length3
Mean length2.7919075
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row농경지
2nd row숲
3rd row숲
4th row숲
5th row숲

Common Values

ValueCountFrequency (%)
건물옆 81
46.8%
도로변 38
22.0%
농경지 23
 
13.3%
숲 17
 
9.8%
기타 10
 
5.8%
강, 바다 4
 
2.3%

Length

2024-01-10T07:30:24.996128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:25.105154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 81
45.8%
도로변 38
21.5%
농경지 23
 
13.0%
숲 17
 
9.6%
기타 10
 
5.6%
강 4
 
2.3%
바다 4
 
2.3%

발생원인
Categorical

Distinct26
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
어미를 잃음(미아)
37 
차량과의 충돌
19 
전선/건물과의 충돌
19 
- 어미를 잃음(미아)
15 
기생충 중감염
15 
Other values (21)
68 

Length

Max length14
Median length13
Mean length9.1560694
Min length1

Unique

Unique4 ?
Unique (%)2.3%

Sample

1st row총상
2nd row어미를 잃음(미아)
3rd row어미를 잃음(미아)
4th row어미를 잃음(미아)
5th row어미를 잃음(미아)

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 37
21.4%
차량과의 충돌 19
11.0%
전선/건물과의 충돌 19
11.0%
- 어미를 잃음(미아) 15
8.7%
기생충 중감염 15
8.7%
- 차량과의 충돌 14
 
8.1%
- 전선/건물과의 충돌 7
 
4.0%
개, 고양이 공격 5
 
2.9%
- 인공구조물 침입·고립 5
 
2.9%
기아 및 탈진 4
 
2.3%
Other values (16) 33
19.1%

Length

2024-01-10T07:30:25.225650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 59
14.7%
어미를 52
12.9%
잃음(미아 52
12.9%
49
12.2%
차량과의 33
8.2%
전선/건물과의 26
 
6.5%
기생충 18
 
4.5%
중감염 18
 
4.5%
인공구조물 7
 
1.7%
사고 7
 
1.7%
Other values (24) 81
20.1%

발생원인 세부사항
Text

Distinct69
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:25.480198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length10.50289
Min length1

Characters and Unicode

Total characters1817
Distinct characters138
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

Unique46 ?
Unique (%)26.6%

Sample

1st row총상
2nd row어미를 잃음
3rd row어미를 잃음
4th row어미를 잃음
5th row어미를 잃음
ValueCountFrequency (%)
어미를 48
 
10.5%
충돌 46
 
10.1%
잃음(미아 30
 
6.6%
차량과의 28
 
6.1%
추정 26
 
5.7%
기생충 14
 
3.1%
중감염/개선충 11
 
2.4%
잃음 11
 
2.4%
따른 8
 
1.8%
소실 8
 
1.8%
Other values (93) 226
49.6%
2024-01-10T07:30:25.851213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
290
 
16.0%
충 98
 
5.4%
미 87
 
4.8%
돌 66
 
3.6%
음 50
 
2.8%
어 48
 
2.6%
잃 48
 
2.6%
를 48
 
2.6%
아 44
 
2.4%
( 42
 
2.3%
Other values (128) 996
54.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1391
76.6%
Space Separator 290
 
16.0%
Other Punctuation 52
 
2.9%
Open Punctuation 42
 
2.3%
Close Punctuation 42
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 98
 
7.0%
미 87
 
6.3%
돌 66
 
4.7%
음 50
 
3.6%
어 48
 
3.5%
잃 48
 
3.5%
를 48
 
3.5%
아 44
 
3.2%
의 38
 
2.7%
차 37
 
2.7%
Other values (123) 827
59.5%
Other Punctuation
ValueCountFrequency (%)
/ 41
78.8%
, 11
 
21.2%
Space Separator
ValueCountFrequency (%)
290
100.0%
Open Punctuation
ValueCountFrequency (%)
( 42
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1391
76.6%
Common 426
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 98
 
7.0%
미 87
 
6.3%
돌 66
 
4.7%
음 50
 
3.6%
어 48
 
3.5%
잃 48
 
3.5%
를 48
 
3.5%
아 44
 
3.2%
의 38
 
2.7%
차 37
 
2.7%
Other values (123) 827
59.5%
Common
ValueCountFrequency (%)
290
68.1%
( 42
 
9.9%
) 42
 
9.9%
/ 41
 
9.6%
, 11
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1391
76.6%
ASCII 426
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
290
68.1%
( 42
 
9.9%
) 42
 
9.9%
/ 41
 
9.6%
, 11
 
2.6%
Hangul
ValueCountFrequency (%)
충 98
 
7.0%
미 87
 
6.3%
돌 66
 
4.7%
음 50
 
3.6%
어 48
 
3.5%
잃 48
 
3.5%
를 48
 
3.5%
아 44
 
3.2%
의 38
 
2.7%
차 37
 
2.7%
Other values (123) 827
59.5%

TM구조위도
Text

MISSING 

Distinct85
Distinct (%)68.5%
Missing49
Missing (%)28.3%
Memory size1.5 KiB
2024-01-10T07:30:26.063551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1240
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

Unique72 ?
Unique (%)58.1%

Sample

1st row36 11 02.6
2nd row36 07 12.1
3rd row36 07 12.1
4th row36 07 12.1
5th row36 07 12.1
ValueCountFrequency (%)
36 122
32.8%
04 31
 
8.3%
01 24
 
6.5%
07 19
 
5.1%
12.1 11
 
3.0%
00 10
 
2.7%
02 10
 
2.7%
56.8 9
 
2.4%
08 9
 
2.4%
09 8
 
2.2%
Other values (83) 119
32.0%
2024-01-10T07:30:26.387830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
20.0%
0 180
14.5%
3 156
12.6%
6 154
12.4%
. 124
10.0%
4 92
 
7.4%
1 84
 
6.8%
2 63
 
5.1%
8 51
 
4.1%
5 36
 
2.9%
Other values (2) 52
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 868
70.0%
Space Separator 248
 
20.0%
Other Punctuation 124
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 180
20.7%
3 156
18.0%
6 154
17.7%
4 92
10.6%
1 84
9.7%
2 63
 
7.3%
8 51
 
5.9%
5 36
 
4.1%
7 27
 
3.1%
9 25
 
2.9%
Space Separator
ValueCountFrequency (%)
248
100.0%
Other Punctuation
ValueCountFrequency (%)
. 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
248
20.0%
0 180
14.5%
3 156
12.6%
6 154
12.4%
. 124
10.0%
4 92
 
7.4%
1 84
 
6.8%
2 63
 
5.1%
8 51
 
4.1%
5 36
 
2.9%
Other values (2) 52
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
20.0%
0 180
14.5%
3 156
12.6%
6 154
12.4%
. 124
10.0%
4 92
 
7.4%
1 84
 
6.8%
2 63
 
5.1%
8 51
 
4.1%
5 36
 
2.9%
Other values (2) 52
 
4.2%

TM구조경도
Text

MISSING 

Distinct83
Distinct (%)66.9%
Missing49
Missing (%)28.3%
Memory size1.5 KiB
2024-01-10T07:30:26.612159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1364
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

Unique68 ?
Unique (%)54.8%

Sample

1st row126 32 58.6
2nd row126 47 33.2
3rd row126 47 33.2
4th row126 47 33.2
5th row126 47 33.2
ValueCountFrequency (%)
126 121
32.5%
41 26
 
7.0%
40 16
 
4.3%
43 14
 
3.8%
47 12
 
3.2%
33.2 11
 
3.0%
42 10
 
2.7%
44 9
 
2.4%
52.1 8
 
2.2%
36 7
 
1.9%
Other values (92) 138
37.1%
2024-01-10T07:30:26.986387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
248
18.2%
1 203
14.9%
2 196
14.4%
6 151
11.1%
4 131
9.6%
. 124
9.1%
3 109
8.0%
0 75
 
5.5%
5 47
 
3.4%
7 34
 
2.5%
Other values (2) 46
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
72.7%
Space Separator 248
 
18.2%
Other Punctuation 124
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 203
20.5%
2 196
19.8%
6 151
15.2%
4 131
13.2%
3 109
11.0%
0 75
 
7.6%
5 47
 
4.7%
7 34
 
3.4%
8 28
 
2.8%
9 18
 
1.8%
Space Separator
ValueCountFrequency (%)
248
100.0%
Other Punctuation
ValueCountFrequency (%)
. 124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1364
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
248
18.2%
1 203
14.9%
2 196
14.4%
6 151
11.1%
4 131
9.6%
. 124
9.1%
3 109
8.0%
0 75
 
5.5%
5 47
 
3.4%
7 34
 
2.5%
Other values (2) 46
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1364
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
248
18.2%
1 203
14.9%
2 196
14.4%
6 151
11.1%
4 131
9.6%
. 124
9.1%
3 109
8.0%
0 75
 
5.5%
5 47
 
3.4%
7 34
 
2.5%
Other values (2) 46
 
3.4%

TM방생위도
Categorical

IMBALANCE 

Distinct18
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
138 
36 36 46.8
 
9
36 07 34.2
 
8
36 27 57.7
 
3
36 01 48.7
 
2
Other values (13)
 
13

Length

Max length10
Median length4
Mean length5.2138728
Min length4

Unique

Unique13 ?
Unique (%)7.5%

Sample

1st row<NA>
2nd row36 36 46.8
3rd row36 36 46.8
4th row36 36 46.8
5th row36 36 46.8

Common Values

ValueCountFrequency (%)
<NA> 138
79.8%
36 36 46.8 9
 
5.2%
36 07 34.2 8
 
4.6%
36 27 57.7 3
 
1.7%
36 01 48.7 2
 
1.2%
36 40 10.5 1
 
0.6%
36 04 42.4 1
 
0.6%
36 07 03.5 1
 
0.6%
36 04 52.8 1
 
0.6%
36 01 48.3 1
 
0.6%
Other values (8) 8
 
4.6%

Length

2024-01-10T07:30:27.114596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 138
56.8%
36 44
 
18.1%
46.8 9
 
3.7%
07 9
 
3.7%
34.2 8
 
3.3%
01 6
 
2.5%
27 3
 
1.2%
57.7 3
 
1.2%
04 2
 
0.8%
40 2
 
0.8%
Other values (18) 19
 
7.8%

TM방생경도
Text

MISSING 

Distinct18
Distinct (%)51.4%
Missing138
Missing (%)79.8%
Memory size1.5 KiB
2024-01-10T07:30:27.236392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters385
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

Unique15 ?
Unique (%)42.9%

Sample

1st row126 48 48.6
2nd row126 48 48.6
3rd row126 48 48.6
4th row126 48 48.6
5th row126 48 48.6
ValueCountFrequency (%)
126 32
30.5%
43 14
13.3%
48 10
 
9.5%
48.6 9
 
8.6%
26.6 8
 
7.6%
127 3
 
2.9%
18 3
 
2.9%
09.8 3
 
2.9%
41 2
 
1.9%
33.7 2
 
1.9%
Other values (17) 19
18.1%
2024-01-10T07:30:27.487990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
70
18.2%
6 62
16.1%
2 50
13.0%
1 48
12.5%
4 43
11.2%
. 35
9.1%
8 27
 
7.0%
3 24
 
6.2%
7 8
 
2.1%
0 8
 
2.1%
Other values (2) 10
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
72.7%
Space Separator 70
 
18.2%
Other Punctuation 35
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 62
22.1%
2 50
17.9%
1 48
17.1%
4 43
15.4%
8 27
9.6%
3 24
 
8.6%
7 8
 
2.9%
0 8
 
2.9%
9 6
 
2.1%
5 4
 
1.4%
Space Separator
ValueCountFrequency (%)
70
100.0%
Other Punctuation
ValueCountFrequency (%)
. 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 385
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
70
18.2%
6 62
16.1%
2 50
13.0%
1 48
12.5%
4 43
11.2%
. 35
9.1%
8 27
 
7.0%
3 24
 
6.2%
7 8
 
2.1%
0 8
 
2.1%
Other values (2) 10
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 385
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
70
18.2%
6 62
16.1%
2 50
13.0%
1 48
12.5%
4 43
11.2%
. 35
9.1%
8 27
 
7.0%
3 24
 
6.2%
7 8
 
2.1%
0 8
 
2.1%
Other values (2) 10
 
2.6%

등록체중
Text

Distinct132
Distinct (%)76.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:27.745898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.2023121
Min length1

Characters and Unicode

Total characters554
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

Unique125 ?
Unique (%)72.3%

Sample

1st row2298
2nd row16
3rd row16
4th row16
5th row16
ValueCountFrequency (%)
0 24
 
13.9%
16 12
 
6.9%
23 4
 
2.3%
110 2
 
1.2%
304 2
 
1.2%
121 2
 
1.2%
16520 2
 
1.2%
135 1
 
0.6%
3420 1
 
0.6%
86 1
 
0.6%
Other values (122) 122
70.5%
2024-01-10T07:30:28.113065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 124
22.4%
1 90
16.2%
2 60
10.8%
6 51
9.2%
4 50
9.0%
8 45
 
8.1%
3 44
 
7.9%
5 27
 
4.9%
7 21
 
3.8%
9 20
 
3.6%
Other values (2) 22
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 532
96.0%
Other Punctuation 22
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 124
23.3%
1 90
16.9%
2 60
11.3%
6 51
9.6%
4 50
9.4%
8 45
 
8.5%
3 44
 
8.3%
5 27
 
5.1%
7 21
 
3.9%
9 20
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 17
77.3%
. 5
 
22.7%

Most occurring scripts

ValueCountFrequency (%)
Common 554
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 124
22.4%
1 90
16.2%
2 60
10.8%
6 51
9.2%
4 50
9.0%
8 45
 
8.1%
3 44
 
7.9%
5 27
 
4.9%
7 21
 
3.8%
9 20
 
3.6%
Other values (2) 22
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 554
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 124
22.4%
1 90
16.2%
2 60
10.8%
6 51
9.2%
4 50
9.0%
8 45
 
8.1%
3 44
 
7.9%
5 27
 
4.9%
7 21
 
3.8%
9 20
 
3.6%
Other values (2) 22
 
4.0%

현재체중
Text

Distinct129
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:28.382981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length3.3872832
Min length1

Characters and Unicode

Total characters586
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

Unique118 ?
Unique (%)68.2%

Sample

1st row2038
2nd row208
3rd row208
4th row208
5th row208
ValueCountFrequency (%)
0 24
 
13.9%
208 9
 
5.2%
35.8 5
 
2.9%
3300 3
 
1.7%
15 2
 
1.2%
16520 2
 
1.2%
5680 2
 
1.2%
304 2
 
1.2%
106 2
 
1.2%
12 2
 
1.2%
Other values (119) 120
69.4%
2024-01-10T07:30:28.758794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 147
25.1%
1 75
12.8%
2 65
11.1%
8 58
 
9.9%
4 55
 
9.4%
3 45
 
7.7%
6 41
 
7.0%
5 35
 
6.0%
9 21
 
3.6%
, 18
 
3.1%
Other values (2) 26
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 558
95.2%
Other Punctuation 28
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 147
26.3%
1 75
13.4%
2 65
11.6%
8 58
 
10.4%
4 55
 
9.9%
3 45
 
8.1%
6 41
 
7.3%
5 35
 
6.3%
9 21
 
3.8%
7 16
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 18
64.3%
. 10
35.7%

Most occurring scripts

ValueCountFrequency (%)
Common 586
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 147
25.1%
1 75
12.8%
2 65
11.1%
8 58
 
9.9%
4 55
 
9.4%
3 45
 
7.7%
6 41
 
7.0%
5 35
 
6.0%
9 21
 
3.6%
, 18
 
3.1%
Other values (2) 26
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 586
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 147
25.1%
1 75
12.8%
2 65
11.1%
8 58
 
9.9%
4 55
 
9.4%
3 45
 
7.7%
6 41
 
7.0%
5 35
 
6.0%
9 21
 
3.6%
, 18
 
3.1%
Other values (2) 26
 
4.4%

임상적최종진단
Text

MISSING 

Distinct120
Distinct (%)71.0%
Missing4
Missing (%)2.3%
Memory size1.5 KiB
2024-01-10T07:30:29.059527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length33
Mean length14.508876
Min length2

Characters and Unicode

Total characters2452
Distinct characters226
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

Unique110 ?
Unique (%)65.1%

Sample

1st row우측 날개 proximal phalanx(2nd digit) 개방골절
2nd row인공부화 개체, splayed legs
3rd row인공부화 개체, splayed legs
4th row인공부화 개체, splayed legs
5th row인공부화 개체, splayed legs
ValueCountFrequency (%)
의한 38
 
5.4%
및 35
 
5.0%
미아 33
 
4.7%
좌측 28
 
4.0%
골절 25
 
3.6%
개체 24
 
3.4%
충돌에 22
 
3.1%
우측 21
 
3.0%
개선충 19
 
2.7%
개방골절 14
 
2.0%
Other values (213) 441
63.0%
2024-01-10T07:30:29.476159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
534
 
21.8%
골 85
 
3.5%
개 70
 
2.9%
절 68
 
2.8%
측 54
 
2.2%
한 54
 
2.2%
충 47
 
1.9%
의 46
 
1.9%
아 44
 
1.8%
미 42
 
1.7%
Other values (216) 1408
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1657
67.6%
Space Separator 534
 
21.8%
Lowercase Letter 168
 
6.9%
Other Punctuation 46
 
1.9%
Uppercase Letter 14
 
0.6%
Open Punctuation 11
 
0.4%
Close Punctuation 11
 
0.4%
Decimal Number 10
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 85
 
5.1%
개 70
 
4.2%
절 68
 
4.1%
측 54
 
3.3%
한 54
 
3.3%
충 47
 
2.8%
의 46
 
2.8%
아 44
 
2.7%
미 42
 
2.5%
에 40
 
2.4%
Other values (179) 1107
66.8%
Lowercase Letter
ValueCountFrequency (%)
l 26
15.5%
e 24
14.3%
s 23
13.7%
a 16
9.5%
d 15
8.9%
p 14
8.3%
g 13
7.7%
y 11
6.5%
i 5
 
3.0%
t 3
 
1.8%
Other values (9) 18
10.7%
Uppercase Letter
ValueCountFrequency (%)
L 6
42.9%
T 2
 
14.3%
C 2
 
14.3%
B 1
 
7.1%
H 1
 
7.1%
R 1
 
7.1%
S 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
6 3
30.0%
3 2
20.0%
1 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 39
84.8%
/ 5
 
10.9%
. 2
 
4.3%
Space Separator
ValueCountFrequency (%)
534
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1657
67.6%
Common 613
 
25.0%
Latin 182
 
7.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 85
 
5.1%
개 70
 
4.2%
절 68
 
4.1%
측 54
 
3.3%
한 54
 
3.3%
충 47
 
2.8%
의 46
 
2.8%
아 44
 
2.7%
미 42
 
2.5%
에 40
 
2.4%
Other values (179) 1107
66.8%
Latin
ValueCountFrequency (%)
l 26
14.3%
e 24
13.2%
s 23
12.6%
a 16
8.8%
d 15
8.2%
p 14
7.7%
g 13
7.1%
y 11
 
6.0%
L 6
 
3.3%
i 5
 
2.7%
Other values (16) 29
15.9%
Common
ValueCountFrequency (%)
534
87.1%
, 39
 
6.4%
( 11
 
1.8%
) 11
 
1.8%
/ 5
 
0.8%
2 4
 
0.7%
6 3
 
0.5%
. 2
 
0.3%
3 2
 
0.3%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1657
67.6%
ASCII 795
32.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
534
67.2%
, 39
 
4.9%
l 26
 
3.3%
e 24
 
3.0%
s 23
 
2.9%
a 16
 
2.0%
d 15
 
1.9%
p 14
 
1.8%
g 13
 
1.6%
( 11
 
1.4%
Other values (27) 80
 
10.1%
Hangul
ValueCountFrequency (%)
골 85
 
5.1%
개 70
 
4.2%
절 68
 
4.1%
측 54
 
3.3%
한 54
 
3.3%
충 47
 
2.8%
의 46
 
2.8%
아 44
 
2.7%
미 42
 
2.5%
에 40
 
2.4%
Other values (179) 1107
66.8%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-0023쇠기러기조강(Aves)기러기목오리과해당없음해당없음해당없음2019-01-092019-01-31안락사<NA>기타UnknownAdult36.184056126.5496110<NA><NA>부사호 주변 농경지, 주소 정확하지 않음충청남도 서천군 서면 부사리 564농경지총상총상36 11 02.6126 32 58.6<NA><NA>22982038우측 날개 proximal phalanx(2nd digit) 개방골절
12019-0560꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-262019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
22019-0561꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
32019-0562꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
42019-0563꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
52019-0564꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
62019-0565꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
72019-0566꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
82019-0567꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
92019-0568꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
1632022-1634고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-07-142022-07-14폐사체<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.01.233126.44.1593<NA><NA>추후 기입필요충남 서천군 마서면 도삼리 185-7도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>17,90017,900좌측 다리 열상
1642022-1640고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-07-152022-07-15안락사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Female0년0월0일36.04.552126.41.52525<NA><NA>도로옆 인도충남 서천군 서천읍 사곡리 산 61-70도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>18,04018,040<NA>
1652022-2475고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-12-222022-12-26방생충남 예산군 대술면 송석리 35<NA>Female0년0월0일36.50.512126.40.1350<NA><NA>도로변충남 서천군 종천면 화산리 179-1도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>20,16019,680좌측 안검 경미한 열상
1662022-2496고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-12-262022-12-26안락사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.08.400126.35.5230<NA><NA>성내사거리 인근 도로변충남 서천군 비인면 성북리 238-6도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>14,58014,580<NA>
1672022-0145너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-01-162022-01-16폐사체<NA>기타(협조)Female0년8월0일36.06.520126.43.52318<NA><NA>주소지 부근 도로변충남 서천군 문산면 문장리 260-15도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>4,1804,180차량 충돌에 의한 내출혈 및 탈진(추정)에 의한 폐사
1682022-0365너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-03-252022-03-26DOA<NA>기타(협조)Male0년0월0일36.05.512126.41.16410<NA><NA>가정집 옆 수풀충남 서천군 서천읍 대백제로 1176-32건물옆- 기생충 중감염기생충 중감염<NA><NA><NA><NA>3,4603,460개선충 중감염
1692022-1424너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-06-272022-10-17방생충남 예산군 대술면 시산리 산 108<NA>Female0년1월27일36.09.128126.37.25073<NA><NA>민가 주변충남 서천군 비인면 성검로287번길 29-37건물옆- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>5564,110개선충, 미아
1702022-1944너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-08-212022-08-21DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.06.553126.43.57417<NA><NA>주소지 부근 주택가충남 서천군 문산면 문장리 252-2건물옆- 기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>1,1901,190개선충 중감염
1712022-2382너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-302023-02-27기타<NA><NA>Male0년0월0일36.06.005126.44.0810<NA><NA>추후 기입충남 서천군 시초면 선동리 산 11건물옆- 기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>3,8604,820개선충 중감염 및 저체온증, 기아 탈진
1722022-0563오소리포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-05-032022-05-04안락사<NA>냉동(신냉동창고)(투입박스(천기))Female0년0월0일36.07.494126.36.31145<NA><NA>주소지 부근 도로변충남 서천군 비인면 관리 839-9도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>4,7604,760차량 충돌에 의한 두개골 다발성 골절