Overview

Dataset statistics

Number of variables34
Number of observations86
Missing cells457
Missing cells (%)15.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.6 KiB
Average record size in memory280.5 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 청양군 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=15109281

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
발견일시 has 85 (98.8%) missing valuesMissing
접수일시 has 85 (98.8%) missing valuesMissing
이첩 방생 위치 has 54 (62.8%) missing valuesMissing
방생위도 has 55 (64.0%) missing valuesMissing
방생경도 has 55 (64.0%) missing valuesMissing
발견장소상세 has 13 (15.1%) missing valuesMissing
방생위도(TM방생위도) has 55 (64.0%) missing valuesMissing
방생경도(TM방생경도) has 55 (64.0%) missing valuesMissing
접수번호 has unique valuesUnique
등록체중 has 17 (19.8%) zerosZeros
현재체중 has 17 (19.8%) zerosZeros

Reproduction

Analysis started2024-01-09 22:38:14.056572
Analysis finished2024-01-09 22:38:14.614222
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct86
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-10T07:38:14.821822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters774
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

Unique86 ?
Unique (%)100.0%

Sample

1st row2019-0615
2nd row2019-1721
3rd row2019-1202
4th row2019-1773
5th row2019-1377
ValueCountFrequency (%)
2019-0615 1
 
1.2%
2021-0177 1
 
1.2%
2021-1690 1
 
1.2%
2021-1585 1
 
1.2%
2021-1541 1
 
1.2%
2021-0209 1
 
1.2%
2021-0557 1
 
1.2%
2021-0003 1
 
1.2%
2021-0235 1
 
1.2%
2021-1744 1
 
1.2%
Other values (76) 76
88.4%
2024-01-10T07:38:15.182615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 183
23.6%
0 177
22.9%
1 142
18.3%
- 86
11.1%
9 44
 
5.7%
6 33
 
4.3%
5 25
 
3.2%
4 25
 
3.2%
3 23
 
3.0%
7 19
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
88.9%
Dash Punctuation 86
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 183
26.6%
0 177
25.7%
1 142
20.6%
9 44
 
6.4%
6 33
 
4.8%
5 25
 
3.6%
4 25
 
3.6%
3 23
 
3.3%
7 19
 
2.8%
8 17
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 774
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 183
23.6%
0 177
22.9%
1 142
18.3%
- 86
11.1%
9 44
 
5.7%
6 33
 
4.3%
5 25
 
3.2%
4 25
 
3.2%
3 23
 
3.0%
7 19
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 774
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 183
23.6%
0 177
22.9%
1 142
18.3%
- 86
11.1%
9 44
 
5.7%
6 33
 
4.3%
5 25
 
3.2%
4 25
 
3.2%
3 23
 
3.0%
7 19
 
2.5%

동물국문명
Categorical

Distinct29
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size820.0 B
고라니
15 
황조롱이
13 
수리부엉이
너구리
제비
Other values (24)
39 

Length

Max length8
Median length7
Mean length3.3255814
Min length2

Unique

Unique17 ?
Unique (%)19.8%

Sample

1st row독수리
2nd row새매
3rd row참매
4th row참매
5th row멧비둘기

Common Values

ValueCountFrequency (%)
고라니 15
17.4%
황조롱이 13
15.1%
수리부엉이 8
 
9.3%
너구리 7
 
8.1%
제비 4
 
4.7%
까치 4
 
4.7%
독수리 4
 
4.7%
참매 4
 
4.7%
참새 3
 
3.5%
말똥가리 3
 
3.5%
Other values (19) 21
24.4%

Length

2024-01-10T07:38:15.323407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 15
17.4%
황조롱이 13
15.1%
수리부엉이 8
 
9.3%
너구리 7
 
8.1%
제비 4
 
4.7%
까치 4
 
4.7%
독수리 4
 
4.7%
참매 4
 
4.7%
참새 3
 
3.5%
말똥가리 3
 
3.5%
Other values (19) 21
24.4%


Categorical

Distinct2
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
조강(Aves)
61 
포유강(Mammalia)
25 

Length

Max length13
Median length8
Mean length9.4534884
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) 61
70.9%
포유강(Mammalia) 25
29.1%

Length

2024-01-10T07:38:15.437738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:15.526822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 61
70.9%
포유강(mammalia 25
29.1%


Categorical

Distinct11
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
매목
27 
참새목
15 
소목
15 
올빼미목
11 
식육목
Other values (6)
10 

Length

Max length5
Median length4.5
Mean length2.6976744
Min length2

Unique

Unique3 ?
Unique (%)3.5%

Sample

1st row매목
2nd row매목
3rd row매목
4th row매목
5th row비둘기목

Common Values

ValueCountFrequency (%)
매목 27
31.4%
참새목 15
17.4%
소목 15
17.4%
올빼미목 11
12.8%
식육목 8
 
9.3%
황새목 3
 
3.5%
비둘기목 2
 
2.3%
파랑새목 2
 
2.3%
박쥐목 1
 
1.2%
딱다구리목 1
 
1.2%

Length

2024-01-10T07:38:15.625220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
매목 27
31.4%
참새목 15
17.4%
소목 15
17.4%
올빼미목 11
12.8%
식육목 8
 
9.3%
황새목 3
 
3.5%
비둘기목 2
 
2.3%
파랑새목 2
 
2.3%
박쥐목 1
 
1.2%
딱다구리목 1
 
1.2%


Categorical

Distinct18
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
사슴과
15 
매과
14 
수리과
13 
올빼미과
11 
개과
Other values (13)
26 

Length

Max length5
Median length4
Mean length3.1046512
Min length2

Unique

Unique7 ?
Unique (%)8.1%

Sample

1st row수리과
2nd row수리과
3rd row수리과
4th row수리과
5th row비둘기과

Common Values

ValueCountFrequency (%)
사슴과 15
17.4%
매과 14
16.3%
수리과 13
15.1%
올빼미과 11
12.8%
개과 7
8.1%
까마귀과 5
 
5.8%
제비과 4
 
4.7%
왜가리과 3
 
3.5%
참새과 3
 
3.5%
지빠귀과 2
 
2.3%
Other values (8) 9
10.5%

Length

2024-01-10T07:38:15.738222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 15
17.4%
매과 14
16.3%
수리과 13
15.1%
올빼미과 11
12.8%
개과 7
8.1%
까마귀과 5
 
5.8%
제비과 4
 
4.7%
왜가리과 3
 
3.5%
참새과 3
 
3.5%
비둘기과 2
 
2.3%
Other values (8) 9
10.5%

천연기념물
Categorical

Distinct10
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size820.0 B
해당없음
51 
323-8
13 
324-2
243-1
 
4
323-1
 
4
Other values (5)

Length

Max length5
Median length4
Mean length4.3837209
Min length3

Unique

Unique4 ?
Unique (%)4.7%

Sample

1st row243-1
2nd row323-4
3rd row323-1
4th row323-1
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 51
59.3%
323-8 13
 
15.1%
324-2 8
 
9.3%
243-1 4
 
4.7%
323-1 4
 
4.7%
323-4 2
 
2.3%
324-3 1
 
1.2%
324-1 1
 
1.2%
330 1
 
1.2%
324-6 1
 
1.2%

Length

2024-01-10T07:38:15.870885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:16.017441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 51
59.3%
323-8 13
 
15.1%
324-2 8
 
9.3%
243-1 4
 
4.7%
323-1 4
 
4.7%
323-4 2
 
2.3%
324-3 1
 
1.2%
324-1 1
 
1.2%
330 1
 
1.2%
324-6 1
 
1.2%
Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
해당없음
65 
2 급
20 
1 급
 
1

Length

Max length4
Median length4
Mean length3.755814
Min length3

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row2 급
2nd row2 급
3rd row2 급
4th row2 급
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 65
75.6%
2 급 20
 
23.3%
1 급 1
 
1.2%

Length

2024-01-10T07:38:16.142430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:16.238281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 65
60.7%
21
 
19.6%
2 20
 
18.7%
1 1
 
0.9%
Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
해당없음
47 
부속서 2종
38 
부속서 1종
 
1

Length

Max length6
Median length4
Mean length4.9069767
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 47
54.7%
부속서 2종 38
44.2%
부속서 1종 1
 
1.2%

Length

2024-01-10T07:38:16.345830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:16.456001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 47
37.6%
부속서 39
31.2%
2종 38
30.4%
1종 1
 
0.8%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing85
Missing (%)98.8%
Memory size820.0 B
Minimum2019-05-30 00:00:00
Maximum2019-05-30 00:00:00
2024-01-10T07:38:16.546595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:38:16.640556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing85
Missing (%)98.8%
Memory size820.0 B
Minimum2019-05-30 00:00:00
Maximum2019-05-30 00:00:00
2024-01-10T07:38:16.752605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:38:16.841640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct68
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2019-05-02 00:00:00
Maximum2021-12-30 00:00:00
2024-01-10T07:38:16.946509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:38:17.065708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct73
Distinct (%)84.9%
Missing0
Missing (%)0.0%
Memory size820.0 B
Minimum2019-05-30 00:00:00
Maximum2022-01-14 00:00:00
2024-01-10T07:38:17.188061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:38:17.321079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct6
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size820.0 B
방생
31 
안락사
24 
폐사체
13 
폐사
DOA

Length

Max length3
Median length3
Mean length2.5232558
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row안락사
2nd row안락사
3rd row폐사체
4th rowDOA
5th row안락사

Common Values

ValueCountFrequency (%)
방생 31
36.0%
안락사 24
27.9%
폐사체 13
15.1%
폐사 9
 
10.5%
DOA 8
 
9.3%
이첩 1
 
1.2%

Length

2024-01-10T07:38:17.437048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:17.544999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 31
36.0%
안락사 24
27.9%
폐사체 13
15.1%
폐사 9
 
10.5%
doa 8
 
9.3%
이첩 1
 
1.2%

이첩 방생 위치
Text

MISSING 

Distinct25
Distinct (%)78.1%
Missing54
Missing (%)62.8%
Memory size820.0 B
2024-01-10T07:38:17.753530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21.5
Mean length20.25
Min length5

Characters and Unicode

Total characters648
Distinct characters86
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

Unique22 ?
Unique (%)68.8%

Sample

1st row충청남도 청양군 대치면 탄정리 34-22
2nd row충청남도 청양군 비봉면 관산리 산 18-8
3rd row충청남도 청양군 정산면 백곡리 76-1
4th row충청남도 청양군 정산면 백곡리 76-1
5th row충청남도 청양군 청양읍 읍내리 3-15
ValueCountFrequency (%)
충청남도 29
 
18.2%
청양군 15
 
9.4%
정산면 7
 
4.4%
서산시 6
 
3.8%
5
 
3.1%
역촌리 5
 
3.1%
671 5
 
3.1%
예산군 5
 
3.1%
성연면 3
 
1.9%
고남리 3
 
1.9%
Other values (65) 76
47.8%
2024-01-10T07:38:18.113212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
132
20.4%
47
 
7.3%
33
 
5.1%
30
 
4.6%
29
 
4.5%
29
 
4.5%
27
 
4.2%
27
 
4.2%
1 23
 
3.5%
20
 
3.1%
Other values (76) 251
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 405
62.5%
Space Separator 132
 
20.4%
Decimal Number 95
 
14.7%
Dash Punctuation 16
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
47
 
11.6%
33
 
8.1%
30
 
7.4%
29
 
7.2%
29
 
7.2%
27
 
6.7%
27
 
6.7%
20
 
4.9%
18
 
4.4%
13
 
3.2%
Other values (64) 132
32.6%
Decimal Number
ValueCountFrequency (%)
1 23
24.2%
7 13
13.7%
4 11
11.6%
3 11
11.6%
6 10
10.5%
2 8
 
8.4%
9 5
 
5.3%
8 5
 
5.3%
5 5
 
5.3%
0 4
 
4.2%
Space Separator
ValueCountFrequency (%)
132
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 405
62.5%
Common 243
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
47
 
11.6%
33
 
8.1%
30
 
7.4%
29
 
7.2%
29
 
7.2%
27
 
6.7%
27
 
6.7%
20
 
4.9%
18
 
4.4%
13
 
3.2%
Other values (64) 132
32.6%
Common
ValueCountFrequency (%)
132
54.3%
1 23
 
9.5%
- 16
 
6.6%
7 13
 
5.3%
4 11
 
4.5%
3 11
 
4.5%
6 10
 
4.1%
2 8
 
3.3%
9 5
 
2.1%
8 5
 
2.1%
Other values (2) 9
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 405
62.5%
ASCII 243
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
132
54.3%
1 23
 
9.5%
- 16
 
6.6%
7 13
 
5.3%
4 11
 
4.5%
3 11
 
4.5%
6 10
 
4.1%
2 8
 
3.3%
9 5
 
2.1%
8 5
 
2.1%
Other values (2) 9
 
3.7%
Hangul
ValueCountFrequency (%)
47
 
11.6%
33
 
8.1%
30
 
7.4%
29
 
7.2%
29
 
7.2%
27
 
6.7%
27
 
6.7%
20
 
4.9%
18
 
4.4%
13
 
3.2%
Other values (64) 132
32.6%

사체처리
Categorical

Distinct3
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size820.0 B
기타
53 
<NA>
32 
냉동
 
1

Length

Max length4
Median length2
Mean length2.744186
Min length2

Unique

Unique1 ?
Unique (%)1.2%

Sample

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

Common Values

ValueCountFrequency (%)
기타 53
61.6%
<NA> 32
37.2%
냉동 1
 
1.2%

Length

2024-01-10T07:38:18.253671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:18.370938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 53
61.6%
na 32
37.2%
냉동 1
 
1.2%

동물성별
Categorical

Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
Unknown
59 
Female
12 
Male
11 
Female(?)
 
3
Male(?)
 
1

Length

Max length9
Median length7
Mean length6.5465116
Min length4

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st rowUnknown
2nd rowFemale(?)
3rd rowFemale
4th rowMale
5th rowUnknown

Common Values

ValueCountFrequency (%)
Unknown 59
68.6%
Female 12
 
14.0%
Male 11
 
12.8%
Female(?) 3
 
3.5%
Male(?) 1
 
1.2%

Length

2024-01-10T07:38:18.471437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:18.580329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 59
68.6%
female 15
 
17.4%
male 12
 
14.0%

동물연령
Categorical

Distinct15
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
Juvenile
20 
Unknown
17 
Adult
13 
0년0월0일
13 
Nestling
11 
Other values (10)
12 

Length

Max length8
Median length7
Mean length6.8023256
Min length5

Unique

Unique8 ?
Unique (%)9.3%

Sample

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

Common Values

ValueCountFrequency (%)
Juvenile 20
23.3%
Unknown 17
19.8%
Adult 13
15.1%
0년0월0일 13
15.1%
Nestling 11
12.8%
0년10월0일 2
 
2.3%
0년1월0일 2
 
2.3%
0년11월0일 1
 
1.2%
0년3월0일 1
 
1.2%
1년4월0일 1
 
1.2%
Other values (5) 5
 
5.8%

Length

2024-01-10T07:38:18.713810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
juvenile 20
23.3%
unknown 17
19.8%
adult 13
15.1%
0년0월0일 13
15.1%
nestling 11
12.8%
0년10월0일 2
 
2.3%
0년1월0일 2
 
2.3%
0년11월0일 1
 
1.2%
0년3월0일 1
 
1.2%
1년4월0일 1
 
1.2%
Other values (5) 5
 
5.8%

구조위도
Real number (ℝ)

Distinct69
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.431211
Minimum36.334583
Maximum36.556833
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:18.825211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.334583
5-th percentile36.36541
Q136.409215
median36.422167
Q336.451222
95-th percentile36.510875
Maximum36.556833
Range0.22225
Interquartile range (IQR)0.0420065

Descriptive statistics

Standard deviation0.042904561
Coefficient of variation (CV)0.0011776869
Kurtosis1.0840951
Mean36.431211
Median Absolute Deviation (MAD)0.0243055
Skewness0.68687865
Sum3133.0842
Variance0.0018408014
MonotonicityNot monotonic
2024-01-10T07:38:18.946782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.42125 10
 
11.6%
36.494083 4
 
4.7%
36.41238900000001 3
 
3.5%
36.451583 2
 
2.3%
36.451222 2
 
2.3%
36.45325 2
 
2.3%
36.395111 1
 
1.2%
36.493556 1
 
1.2%
36.45502800000001 1
 
1.2%
36.426444 1
 
1.2%
Other values (59) 59
68.6%
ValueCountFrequency (%)
36.334583 1
1.2%
36.349417 1
1.2%
36.358056 1
1.2%
36.358083 1
1.2%
36.364417 1
1.2%
36.368389 1
1.2%
36.374472 1
1.2%
36.380611 1
1.2%
36.381306 1
1.2%
36.38275 1
1.2%
ValueCountFrequency (%)
36.55683300000001 1
 
1.2%
36.555806 1
 
1.2%
36.538556 1
 
1.2%
36.524972 1
 
1.2%
36.516472 1
 
1.2%
36.494083 4
4.7%
36.493556 1
 
1.2%
36.489306 1
 
1.2%
36.48625 1
 
1.2%
36.459333 1
 
1.2%

구조경도
Real number (ℝ)

Distinct70
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.85585
Minimum126.69453
Maximum127.01653
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:19.350626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.69453
5-th percentile126.71969
Q1126.79247
median126.83922
Q3126.94836
95-th percentile126.9864
Maximum127.01653
Range0.322
Interquartile range (IQR)0.155889

Descriptive statistics

Standard deviation0.084430906
Coefficient of variation (CV)0.00066556573
Kurtosis-1.1232031
Mean126.85585
Median Absolute Deviation (MAD)0.0515555
Skewness0.16979987
Sum10909.603
Variance0.0071285779
MonotonicityNot monotonic
2024-01-10T07:38:19.468050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.948361 10
 
11.6%
126.788833 4
 
4.7%
126.971083 3
 
3.5%
126.792472 2
 
2.3%
126.79225 2
 
2.3%
126.820889 1
 
1.2%
126.801083 1
 
1.2%
126.936083 1
 
1.2%
126.773722 1
 
1.2%
126.758111 1
 
1.2%
Other values (60) 60
69.8%
ValueCountFrequency (%)
126.694528 1
1.2%
126.704944 1
1.2%
126.710389 1
1.2%
126.717306 1
1.2%
126.718861 1
1.2%
126.722194 1
1.2%
126.734083 1
1.2%
126.758111 1
1.2%
126.770833 1
1.2%
126.773722 1
1.2%
ValueCountFrequency (%)
127.016528 1
 
1.2%
127.000333 1
 
1.2%
126.996917 1
 
1.2%
126.993111 1
 
1.2%
126.986778 1
 
1.2%
126.985278 1
 
1.2%
126.976667 1
 
1.2%
126.971083 3
3.5%
126.960917 1
 
1.2%
126.95036100000002 1
 
1.2%

구조고도
Real number (ℝ)

Distinct48
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.197674
Minimum22
Maximum198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:19.612835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile29
Q151
median85
Q397.75
95-th percentile151.75
Maximum198
Range176
Interquartile range (IQR)46.75

Descriptive statistics

Standard deviation39.584851
Coefficient of variation (CV)0.48751213
Kurtosis0.51802542
Mean81.197674
Median Absolute Deviation (MAD)34
Skewness0.79859143
Sum6983
Variance1566.9605
MonotonicityNot monotonic
2024-01-10T07:38:19.735233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
51 12
 
14.0%
90 4
 
4.7%
67 4
 
4.7%
36 4
 
4.7%
95 4
 
4.7%
91 4
 
4.7%
102 3
 
3.5%
87 3
 
3.5%
29 3
 
3.5%
82 2
 
2.3%
Other values (38) 43
50.0%
ValueCountFrequency (%)
22 1
 
1.2%
24 2
2.3%
28 1
 
1.2%
29 3
3.5%
36 4
4.7%
38 2
2.3%
40 1
 
1.2%
42 2
2.3%
47 1
 
1.2%
48 1
 
1.2%
ValueCountFrequency (%)
198 1
1.2%
194 1
1.2%
174 1
1.2%
170 1
1.2%
153 1
1.2%
148 1
1.2%
145 1
1.2%
144 1
1.2%
143 1
1.2%
127 1
1.2%

방생위도
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing55
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean36.544682
Minimum36.336335
Maximum36.820878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:19.845289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.336335
5-th percentile36.398904
Q136.42185
median36.513185
Q336.646192
95-th percentile36.820878
Maximum36.820878
Range0.48454223
Interquartile range (IQR)0.22434186

Descriptive statistics

Standard deviation0.14250845
Coefficient of variation (CV)0.0038995674
Kurtosis-0.67754287
Mean36.544682
Median Absolute Deviation (MAD)0.09343554
Skewness0.68175098
Sum1132.8851
Variance0.020308658
MonotonicityNot monotonic
2024-01-10T07:38:19.945305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
36.42184979 5
 
5.8%
36.82087755 3
 
3.5%
36.41238944 2
 
2.3%
36.33633532 1
 
1.2%
36.66816249 1
 
1.2%
36.67008139 1
 
1.2%
36.55622037 1
 
1.2%
36.65734845 1
 
1.2%
36.50474495 1
 
1.2%
36.63007458 1
 
1.2%
Other values (14) 14
 
16.3%
(Missing) 55
64.0%
ValueCountFrequency (%)
36.33633532 1
 
1.2%
36.38541825 1
 
1.2%
36.41238944 2
 
2.3%
36.41663596 1
 
1.2%
36.42184979 5
5.8%
36.43077812 1
 
1.2%
36.45349663 1
 
1.2%
36.45489267 1
 
1.2%
36.48059979999999 1
 
1.2%
36.50474495 1
 
1.2%
ValueCountFrequency (%)
36.82087755 3
3.5%
36.7676436 1
 
1.2%
36.73233832 1
 
1.2%
36.67008139 1
 
1.2%
36.66816249 1
 
1.2%
36.65734845 1
 
1.2%
36.63503486 1
 
1.2%
36.63007458 1
 
1.2%
36.60662026 1
 
1.2%
36.55622037 1
 
1.2%

방생경도
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)77.4%
Missing55
Missing (%)64.0%
Infinite0
Infinite (%)0.0%
Mean126.81882
Minimum126.38978
Maximum127.49718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:20.051410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.38978
5-th percentile126.39841
Q1126.78914
median126.83123
Q3126.94845
95-th percentile127.05828
Maximum127.49718
Range1.1074018
Interquartile range (IQR)0.1593015

Descriptive statistics

Standard deviation0.2420253
Coefficient of variation (CV)0.0019084337
Kurtosis1.2288361
Mean126.81882
Median Absolute Deviation (MAD)0.1172137
Skewness-0.087626727
Sum3931.3834
Variance0.058576246
MonotonicityNot monotonic
2024-01-10T07:38:20.152205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
126.9484454 5
 
5.8%
126.4345645 3
 
3.5%
126.971038 2
 
2.3%
126.9404261 1
 
1.2%
126.8644697 1
 
1.2%
126.85966609999998 1
 
1.2%
127.0550293 1
 
1.2%
126.4006562 1
 
1.2%
126.9406614 1
 
1.2%
126.3897803 1
 
1.2%
Other values (14) 14
 
16.3%
(Missing) 55
64.0%
ValueCountFrequency (%)
126.3897803 1
 
1.2%
126.3961738 1
 
1.2%
126.4006562 1
 
1.2%
126.4345645 3
3.5%
126.70331570000002 1
 
1.2%
126.7720285 1
 
1.2%
126.8062593 1
 
1.2%
126.8077397 1
 
1.2%
126.8099737 1
 
1.2%
126.8103018 1
 
1.2%
ValueCountFrequency (%)
127.4971821 1
 
1.2%
127.0615295 1
 
1.2%
127.0550293 1
 
1.2%
126.971038 2
 
2.3%
126.96641509999998 1
 
1.2%
126.9484454 5
5.8%
126.9406614 1
 
1.2%
126.9404261 1
 
1.2%
126.8644697 1
 
1.2%
126.85966609999998 1
 
1.2%

발견장소상세
Text

MISSING 

Distinct55
Distinct (%)75.3%
Missing13
Missing (%)15.1%
Memory size820.0 B
2024-01-10T07:38:20.358907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length9.2328767
Min length1

Characters and Unicode

Total characters674
Distinct characters133
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

Unique50 ?
Unique (%)68.5%

Sample

1st row주소지 부근 도로(칠갑산로) 방음벽 앞
2nd row청양고추문화마을 화장실 앞 도로변
3rd row주소지 앞 도로 위
4th row주소지 인근 밭
5th row
ValueCountFrequency (%)
주소지 17
 
9.0%
부근 11
 
5.9%
내부 11
 
5.9%
애경산업청양공장 10
 
5.3%
도로변 9
 
4.8%
도로 9
 
4.8%
6
 
3.2%
방음벽 5
 
2.7%
건물 4
 
2.1%
인계지 4
 
2.1%
Other values (76) 102
54.3%
2024-01-10T07:38:20.690986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
119
 
17.7%
30
 
4.5%
27
 
4.0%
27
 
4.0%
27
 
4.0%
25
 
3.7%
20
 
3.0%
16
 
2.4%
14
 
2.1%
13
 
1.9%
Other values (123) 356
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 541
80.3%
Space Separator 119
 
17.7%
Decimal Number 6
 
0.9%
Open Punctuation 4
 
0.6%
Close Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
 
5.5%
27
 
5.0%
27
 
5.0%
27
 
5.0%
25
 
4.6%
20
 
3.7%
16
 
3.0%
14
 
2.6%
13
 
2.4%
13
 
2.4%
Other values (116) 329
60.8%
Decimal Number
ValueCountFrequency (%)
1 3
50.0%
3 1
 
16.7%
6 1
 
16.7%
9 1
 
16.7%
Space Separator
ValueCountFrequency (%)
119
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 541
80.3%
Common 133
 
19.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
 
5.5%
27
 
5.0%
27
 
5.0%
27
 
5.0%
25
 
4.6%
20
 
3.7%
16
 
3.0%
14
 
2.6%
13
 
2.4%
13
 
2.4%
Other values (116) 329
60.8%
Common
ValueCountFrequency (%)
119
89.5%
( 4
 
3.0%
) 4
 
3.0%
1 3
 
2.3%
3 1
 
0.8%
6 1
 
0.8%
9 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 541
80.3%
ASCII 133
 
19.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
119
89.5%
( 4
 
3.0%
) 4
 
3.0%
1 3
 
2.3%
3 1
 
0.8%
6 1
 
0.8%
9 1
 
0.8%
Hangul
ValueCountFrequency (%)
30
 
5.5%
27
 
5.0%
27
 
5.0%
27
 
5.0%
25
 
4.6%
20
 
3.7%
16
 
3.0%
14
 
2.6%
13
 
2.4%
13
 
2.4%
Other values (116) 329
60.8%
Distinct71
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-10T07:38:20.960925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.953488
Min length13

Characters and Unicode

Total characters1802
Distinct characters89
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

Unique67 ?
Unique (%)77.9%

Sample

1st row충청남도 청양군 장평면 락지리 454-1
2nd row충청남도 청양군 목면 대평리 647
3rd row충청남도 청양군 청양읍 군량리 207
4th row충청남도 청양군 청양읍 읍내리 19-1
5th row충청남도 청양군 대치면 작천리 8-6
ValueCountFrequency (%)
충청남도 86
19.9%
청양군 86
19.9%
정산면 20
 
4.6%
청양읍 18
 
4.2%
역촌리 10
 
2.3%
671 10
 
2.3%
송방리 7
 
1.6%
화성면 7
 
1.6%
읍내리 7
 
1.6%
남양면 7
 
1.6%
Other values (118) 174
40.3%
2024-01-10T07:38:21.343879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
351
19.5%
193
 
10.7%
113
 
6.3%
95
 
5.3%
87
 
4.8%
86
 
4.8%
86
 
4.8%
83
 
4.6%
1 70
 
3.9%
67
 
3.7%
Other values (79) 571
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1116
61.9%
Space Separator 351
 
19.5%
Decimal Number 284
 
15.8%
Dash Punctuation 51
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
193
17.3%
113
10.1%
95
 
8.5%
87
 
7.8%
86
 
7.7%
86
 
7.7%
83
 
7.4%
67
 
6.0%
31
 
2.8%
25
 
2.2%
Other values (67) 250
22.4%
Decimal Number
ValueCountFrequency (%)
1 70
24.6%
7 38
13.4%
3 36
12.7%
6 35
12.3%
2 25
 
8.8%
4 25
 
8.8%
8 18
 
6.3%
5 14
 
4.9%
0 12
 
4.2%
9 11
 
3.9%
Space Separator
ValueCountFrequency (%)
351
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1116
61.9%
Common 686
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
193
17.3%
113
10.1%
95
 
8.5%
87
 
7.8%
86
 
7.7%
86
 
7.7%
83
 
7.4%
67
 
6.0%
31
 
2.8%
25
 
2.2%
Other values (67) 250
22.4%
Common
ValueCountFrequency (%)
351
51.2%
1 70
 
10.2%
- 51
 
7.4%
7 38
 
5.5%
3 36
 
5.2%
6 35
 
5.1%
2 25
 
3.6%
4 25
 
3.6%
8 18
 
2.6%
5 14
 
2.0%
Other values (2) 23
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1116
61.9%
ASCII 686
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
351
51.2%
1 70
 
10.2%
- 51
 
7.4%
7 38
 
5.5%
3 36
 
5.2%
6 35
 
5.1%
2 25
 
3.6%
4 25
 
3.6%
8 18
 
2.6%
5 14
 
2.0%
Other values (2) 23
 
3.4%
Hangul
ValueCountFrequency (%)
193
17.3%
113
10.1%
95
 
8.5%
87
 
7.8%
86
 
7.7%
86
 
7.7%
83
 
7.4%
67
 
6.0%
31
 
2.8%
25
 
2.2%
Other values (67) 250
22.4%
Distinct5
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size820.0 B
건물옆
29 
도로변
26 
농경지
15 
기타
14 
 
2

Length

Max length3
Median length3
Mean length2.7906977
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 29
33.7%
도로변 26
30.2%
농경지 15
17.4%
기타 14
16.3%
2
 
2.3%

Length

2024-01-10T07:38:21.481097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:38:21.599097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 29
33.7%
도로변 26
30.2%
농경지 15
17.4%
기타 14
16.3%
2
 
2.3%

발생원인
Categorical

Distinct14
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
전선/건물과의 충돌
25 
어미를 잃음(미아)
18 
차량과의 충돌
14 
인공구조물에 얽힘
기아 및 탈진
Other values (9)
18 

Length

Max length11
Median length10.5
Mean length8.5116279
Min length1

Unique

Unique4 ?
Unique (%)4.7%

Sample

1st row전선/건물과의 충돌
2nd row전선/건물과의 충돌
3rd row전선/건물과의 충돌
4th row전선/건물과의 충돌
5th row차량과의 충돌

Common Values

ValueCountFrequency (%)
전선/건물과의 충돌 25
29.1%
어미를 잃음(미아) 18
20.9%
차량과의 충돌 14
16.3%
인공구조물에 얽힘 6
 
7.0%
기아 및 탈진 5
 
5.8%
기생충 중감염 5
 
5.8%
추락 3
 
3.5%
인공구조물 침입·고립 2
 
2.3%
중독사고(농약) 2
 
2.3%
알 수 없는 사고 2
 
2.3%
Other values (4) 4
 
4.7%

Length

2024-01-10T07:38:21.704175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 39
22.3%
전선/건물과의 25
14.3%
어미를 18
10.3%
잃음(미아 18
10.3%
차량과의 14
 
8.0%
인공구조물에 6
 
3.4%
얽힘 6
 
3.4%
기아 5
 
2.9%
5
 
2.9%
탈진 5
 
2.9%
Other values (17) 34
19.4%
Distinct45
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-10T07:38:21.875555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length9.2674419
Min length2

Characters and Unicode

Total characters797
Distinct characters95
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

Unique32 ?
Unique (%)37.2%

Sample

1st row전선 충돌 추정
2nd row방음벽과의 충돌
3rd row전선과의 충돌 추정
4th row유리창 충돌
5th row차량충돌 추정
ValueCountFrequency (%)
충돌 35
17.2%
어미를 17
 
8.3%
잃음(미아 16
 
7.8%
추정 15
 
7.4%
차량과의 10
 
4.9%
기아 5
 
2.5%
유리 5
 
2.5%
구조물 5
 
2.5%
기생충 5
 
2.5%
얽힘 4
 
2.0%
Other values (52) 87
42.6%
2024-01-10T07:38:22.172676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
 
15.2%
51
 
6.4%
41
 
5.1%
33
 
4.1%
22
 
2.8%
( 21
 
2.6%
21
 
2.6%
) 21
 
2.6%
21
 
2.6%
18
 
2.3%
Other values (85) 427
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 619
77.7%
Space Separator 121
 
15.2%
Open Punctuation 21
 
2.6%
Close Punctuation 21
 
2.6%
Other Punctuation 15
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
 
8.2%
41
 
6.6%
33
 
5.3%
22
 
3.6%
21
 
3.4%
21
 
3.4%
18
 
2.9%
18
 
2.9%
18
 
2.9%
17
 
2.7%
Other values (80) 359
58.0%
Other Punctuation
ValueCountFrequency (%)
/ 14
93.3%
? 1
 
6.7%
Space Separator
ValueCountFrequency (%)
121
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 619
77.7%
Common 178
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
 
8.2%
41
 
6.6%
33
 
5.3%
22
 
3.6%
21
 
3.4%
21
 
3.4%
18
 
2.9%
18
 
2.9%
18
 
2.9%
17
 
2.7%
Other values (80) 359
58.0%
Common
ValueCountFrequency (%)
121
68.0%
( 21
 
11.8%
) 21
 
11.8%
/ 14
 
7.9%
? 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 619
77.7%
ASCII 178
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
68.0%
( 21
 
11.8%
) 21
 
11.8%
/ 14
 
7.9%
? 1
 
0.6%
Hangul
ValueCountFrequency (%)
51
 
8.2%
41
 
6.6%
33
 
5.3%
22
 
3.6%
21
 
3.4%
21
 
3.4%
18
 
2.9%
18
 
2.9%
18
 
2.9%
17
 
2.7%
Other values (80) 359
58.0%
Distinct69
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-10T07:38:22.350827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters860
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

Unique63 ?
Unique (%)73.3%

Sample

1st row36 22 28.1
2nd row36 24 33.7
3rd row36 26 22.6
4th row36 27 11.7
5th row36 23 52.0
ValueCountFrequency (%)
36 86
33.3%
25 17
 
6.6%
24 14
 
5.4%
26 14
 
5.4%
27 11
 
4.3%
16.5 10
 
3.9%
23 8
 
3.1%
29 7
 
2.7%
22 5
 
1.9%
38.7 4
 
1.6%
Other values (68) 82
31.8%
2024-01-10T07:38:22.655069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
20.0%
3 131
15.2%
6 124
14.4%
2 114
13.3%
. 86
10.0%
5 57
 
6.6%
4 43
 
5.0%
1 39
 
4.5%
7 33
 
3.8%
9 25
 
2.9%
Other values (2) 36
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 602
70.0%
Space Separator 172
 
20.0%
Other Punctuation 86
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 131
21.8%
6 124
20.6%
2 114
18.9%
5 57
9.5%
4 43
 
7.1%
1 39
 
6.5%
7 33
 
5.5%
9 25
 
4.2%
0 23
 
3.8%
8 13
 
2.2%
Space Separator
ValueCountFrequency (%)
172
100.0%
Other Punctuation
ValueCountFrequency (%)
. 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
172
20.0%
3 131
15.2%
6 124
14.4%
2 114
13.3%
. 86
10.0%
5 57
 
6.6%
4 43
 
5.0%
1 39
 
4.5%
7 33
 
3.8%
9 25
 
2.9%
Other values (2) 36
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
20.0%
3 131
15.2%
6 124
14.4%
2 114
13.3%
. 86
10.0%
5 57
 
6.6%
4 43
 
5.0%
1 39
 
4.5%
7 33
 
3.8%
9 25
 
2.9%
Other values (2) 36
 
4.2%
Distinct70
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-10T07:38:22.857801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters946
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

Unique65 ?
Unique (%)75.6%

Sample

1st row126 53 01.9
2nd row126 59 35.2
3rd row126 46 48.2
4th row126 48 30.3
5th row126 51 36.9
ValueCountFrequency (%)
126 84
32.6%
47 15
 
5.8%
56 14
 
5.4%
48 11
 
4.3%
54.1 10
 
3.9%
50 7
 
2.7%
46 5
 
1.9%
51 5
 
1.9%
58 4
 
1.6%
59 4
 
1.6%
Other values (78) 99
38.4%
2024-01-10T07:38:23.143217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
18.2%
1 132
14.0%
2 118
12.5%
6 117
12.4%
. 86
9.1%
5 75
7.9%
4 72
7.6%
0 38
 
4.0%
7 37
 
3.9%
3 37
 
3.9%
Other values (2) 62
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
72.7%
Space Separator 172
 
18.2%
Other Punctuation 86
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 132
19.2%
2 118
17.2%
6 117
17.0%
5 75
10.9%
4 72
10.5%
0 38
 
5.5%
7 37
 
5.4%
3 37
 
5.4%
9 34
 
4.9%
8 28
 
4.1%
Space Separator
ValueCountFrequency (%)
172
100.0%
Other Punctuation
ValueCountFrequency (%)
. 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
172
18.2%
1 132
14.0%
2 118
12.5%
6 117
12.4%
. 86
9.1%
5 75
7.9%
4 72
7.6%
0 38
 
4.0%
7 37
 
3.9%
3 37
 
3.9%
Other values (2) 62
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
18.2%
1 132
14.0%
2 118
12.5%
6 117
12.4%
. 86
9.1%
5 75
7.9%
4 72
7.6%
0 38
 
4.0%
7 37
 
3.9%
3 37
 
3.9%
Other values (2) 62
 
6.6%
Distinct24
Distinct (%)77.4%
Missing55
Missing (%)64.0%
Memory size820.0 B
2024-01-10T07:38:23.292019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters310
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

Unique21 ?
Unique (%)67.7%

Sample

1st row36 25 50.1
2nd row36 31 25.5
3rd row36 24 44.7
4th row36 24 44.7
5th row36 27 18.3
ValueCountFrequency (%)
36 32
34.4%
25 6
 
6.5%
16.5 5
 
5.4%
24 3
 
3.2%
31 3
 
3.2%
14.4 3
 
3.2%
49 3
 
3.2%
44.7 2
 
2.2%
27 2
 
2.2%
40 2
 
2.2%
Other values (31) 32
34.4%
2024-01-10T07:38:23.542606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
20.0%
3 48
15.5%
6 43
13.9%
. 31
10.0%
2 28
9.0%
4 24
 
7.7%
5 20
 
6.5%
1 18
 
5.8%
0 15
 
4.8%
7 8
 
2.6%
Other values (2) 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 217
70.0%
Space Separator 62
 
20.0%
Other Punctuation 31
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
22.1%
6 43
19.8%
2 28
12.9%
4 24
11.1%
5 20
9.2%
1 18
 
8.3%
0 15
 
6.9%
7 8
 
3.7%
9 7
 
3.2%
8 6
 
2.8%
Space Separator
ValueCountFrequency (%)
62
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 310
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
62
20.0%
3 48
15.5%
6 43
13.9%
. 31
10.0%
2 28
9.0%
4 24
 
7.7%
5 20
 
6.5%
1 18
 
5.8%
0 15
 
4.8%
7 8
 
2.6%
Other values (2) 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 310
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
20.0%
3 48
15.5%
6 43
13.9%
. 31
10.0%
2 28
9.0%
4 24
 
7.7%
5 20
 
6.5%
1 18
 
5.8%
0 15
 
4.8%
7 8
 
2.6%
Other values (2) 13
 
4.2%
Distinct24
Distinct (%)77.4%
Missing55
Missing (%)64.0%
Memory size820.0 B
2024-01-10T07:38:23.708042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters341
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

Unique21 ?
Unique (%)67.7%

Sample

1st row126 49 54.4
2nd row126 48 35.8
3rd row126 58 15.8
4th row126 58 15.8
5th row126 48 26.0
ValueCountFrequency (%)
126 28
30.1%
56 7
 
7.5%
54.1 5
 
5.4%
48 4
 
4.3%
49 4
 
4.3%
26 3
 
3.2%
00.2 3
 
3.2%
127 3
 
3.2%
23 2
 
2.2%
03 2
 
2.2%
Other values (30) 32
34.4%
2024-01-10T07:38:23.977834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
62
18.2%
2 51
15.0%
1 49
14.4%
6 42
12.3%
. 31
9.1%
4 26
7.6%
5 24
 
7.0%
0 15
 
4.4%
8 12
 
3.5%
9 12
 
3.5%
Other values (2) 17
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 248
72.7%
Space Separator 62
 
18.2%
Other Punctuation 31
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 51
20.6%
1 49
19.8%
6 42
16.9%
4 26
10.5%
5 24
9.7%
0 15
 
6.0%
8 12
 
4.8%
9 12
 
4.8%
3 11
 
4.4%
7 6
 
2.4%
Space Separator
ValueCountFrequency (%)
62
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 341
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
62
18.2%
2 51
15.0%
1 49
14.4%
6 42
12.3%
. 31
9.1%
4 26
7.6%
5 24
 
7.0%
0 15
 
4.4%
8 12
 
3.5%
9 12
 
3.5%
Other values (2) 17
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 341
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
62
18.2%
2 51
15.0%
1 49
14.4%
6 42
12.3%
. 31
9.1%
4 26
7.6%
5 24
 
7.0%
0 15
 
4.4%
8 12
 
3.5%
9 12
 
3.5%
Other values (2) 17
 
5.0%

등록체중
Real number (ℝ)

ZEROS 

Distinct67
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2765.2791
Minimum0
Maximum18180
Zeros17
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:24.092715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q149.5
median229
Q31623
95-th percentile15935
Maximum18180
Range18180
Interquartile range (IQR)1573.5

Descriptive statistics

Standard deviation5147.257
Coefficient of variation (CV)1.8613879
Kurtosis2.4422339
Mean2765.2791
Median Absolute Deviation (MAD)229
Skewness1.9684612
Sum237814
Variance26494254
MonotonicityNot monotonic
2024-01-10T07:38:24.210786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
19.8%
212 2
 
2.3%
126 2
 
2.3%
168 2
 
2.3%
6520 1
 
1.2%
2316 1
 
1.2%
14 1
 
1.2%
182 1
 
1.2%
192 1
 
1.2%
198 1
 
1.2%
Other values (57) 57
66.3%
ValueCountFrequency (%)
0 17
19.8%
3 1
 
1.2%
11 1
 
1.2%
14 1
 
1.2%
24 1
 
1.2%
44 1
 
1.2%
66 1
 
1.2%
68 1
 
1.2%
82 1
 
1.2%
126 2
 
2.3%
ValueCountFrequency (%)
18180 1
1.2%
18100 1
1.2%
16460 1
1.2%
16140 1
1.2%
16040 1
1.2%
15620 1
1.2%
14360 1
1.2%
13740 1
1.2%
13520 1
1.2%
13040 1
1.2%

현재체중
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2834.6744
Minimum0
Maximum18100
Zeros17
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size906.0 B
2024-01-10T07:38:24.329390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q166.25
median252
Q32539.5
95-th percentile15305
Maximum18100
Range18100
Interquartile range (IQR)2473.25

Descriptive statistics

Standard deviation5003.5364
Coefficient of variation (CV)1.7651186
Kurtosis2.1948055
Mean2834.6744
Median Absolute Deviation (MAD)252
Skewness1.8942433
Sum243782
Variance25035377
MonotonicityNot monotonic
2024-01-10T07:38:24.446558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 17
 
19.8%
106 1
 
1.2%
12 1
 
1.2%
136 1
 
1.2%
172 1
 
1.2%
180 1
 
1.2%
194 1
 
1.2%
2314 1
 
1.2%
1336 1
 
1.2%
6520 1
 
1.2%
Other values (60) 60
69.8%
ValueCountFrequency (%)
0 17
19.8%
4 1
 
1.2%
11 1
 
1.2%
12 1
 
1.2%
19 1
 
1.2%
66 1
 
1.2%
67 1
 
1.2%
72 1
 
1.2%
82 1
 
1.2%
106 1
 
1.2%
ValueCountFrequency (%)
18100 1
1.2%
16460 1
1.2%
16140 1
1.2%
16040 1
1.2%
15620 1
1.2%
14360 1
1.2%
14140 1
1.2%
13740 1
1.2%
13520 1
1.2%
13040 1
1.2%
Distinct63
Distinct (%)73.3%
Missing0
Missing (%)0.0%
Memory size820.0 B
2024-01-10T07:38:24.731088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length27
Mean length13.976744
Min length2

Characters and Unicode

Total characters1202
Distinct characters178
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

Unique56 ?
Unique (%)65.1%

Sample

1st row좌측 주관절 탈구
2nd row우측 안구손상 및 내상(추정)
3rd row충돌에 의한 좌측 오훼골, 요/척골 골절
4th row충돌에 의한 뇌진탕 및 좌측 견관절 탈구, 기아/탈진
5th row충돌에 의한 우측 완전골 근위부 개방골절
ValueCountFrequency (%)
골절 20
 
5.7%
19
 
5.4%
미아 16
 
4.6%
의한 15
 
4.3%
단순 13
 
3.7%
충돌에 13
 
3.7%
좌측 12
 
3.4%
우측 11
 
3.1%
탈구 9
 
2.6%
뇌진탕 8
 
2.3%
Other values (128) 214
61.1%
2024-01-10T07:38:25.142591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
269
 
22.4%
48
 
4.0%
38
 
3.2%
28
 
2.3%
27
 
2.2%
26
 
2.2%
23
 
1.9%
22
 
1.8%
21
 
1.7%
20
 
1.7%
Other values (168) 680
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 831
69.1%
Space Separator 269
 
22.4%
Lowercase Letter 39
 
3.2%
Other Punctuation 24
 
2.0%
Uppercase Letter 14
 
1.2%
Decimal Number 9
 
0.7%
Open Punctuation 7
 
0.6%
Close Punctuation 7
 
0.6%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
 
5.8%
38
 
4.6%
28
 
3.4%
27
 
3.2%
26
 
3.1%
23
 
2.8%
22
 
2.6%
21
 
2.5%
20
 
2.4%
19
 
2.3%
Other values (134) 559
67.3%
Lowercase Letter
ValueCountFrequency (%)
l 5
12.8%
t 4
10.3%
s 4
10.3%
e 3
 
7.7%
r 3
 
7.7%
a 3
 
7.7%
o 3
 
7.7%
u 2
 
5.1%
d 2
 
5.1%
c 2
 
5.1%
Other values (7) 8
20.5%
Uppercase Letter
ValueCountFrequency (%)
L 6
42.9%
T 2
 
14.3%
B 2
 
14.3%
H 2
 
14.3%
C 2
 
14.3%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
5 2
22.2%
3 1
 
11.1%
7 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 16
66.7%
/ 5
 
20.8%
. 3
 
12.5%
Space Separator
ValueCountFrequency (%)
269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 831
69.1%
Common 318
 
26.5%
Latin 53
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
 
5.8%
38
 
4.6%
28
 
3.4%
27
 
3.2%
26
 
3.1%
23
 
2.8%
22
 
2.6%
21
 
2.5%
20
 
2.4%
19
 
2.3%
Other values (134) 559
67.3%
Latin
ValueCountFrequency (%)
L 6
 
11.3%
l 5
 
9.4%
t 4
 
7.5%
s 4
 
7.5%
e 3
 
5.7%
r 3
 
5.7%
a 3
 
5.7%
o 3
 
5.7%
T 2
 
3.8%
B 2
 
3.8%
Other values (12) 18
34.0%
Common
ValueCountFrequency (%)
269
84.6%
, 16
 
5.0%
( 7
 
2.2%
) 7
 
2.2%
/ 5
 
1.6%
2 3
 
0.9%
. 3
 
0.9%
1 2
 
0.6%
~ 2
 
0.6%
5 2
 
0.6%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 831
69.1%
ASCII 371
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
269
72.5%
, 16
 
4.3%
( 7
 
1.9%
) 7
 
1.9%
L 6
 
1.6%
l 5
 
1.3%
/ 5
 
1.3%
t 4
 
1.1%
s 4
 
1.1%
e 3
 
0.8%
Other values (24) 45
 
12.1%
Hangul
ValueCountFrequency (%)
48
 
5.8%
38
 
4.6%
28
 
3.4%
27
 
3.2%
26
 
3.1%
23
 
2.8%
22
 
2.6%
21
 
2.5%
20
 
2.4%
19
 
2.3%
Other values (134) 559
67.3%

Sample

접수번호동물국문명천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0615독수리조강(Aves)매목수리과243-12 급부속서 2종2019-05-302019-05-302019-05-302019-05-30안락사<NA>기타UnknownUnknown36.374472126.883861103<NA><NA><NA>충청남도 청양군 장평면 락지리 454-1건물옆전선/건물과의 충돌전선 충돌 추정36 22 28.1126 53 01.9<NA><NA>65206520좌측 주관절 탈구
12019-1721새매조강(Aves)매목수리과323-42 급부속서 2종<NA><NA>2019-12-152019-12-27안락사<NA>기타Female(?)Unknown36.409361126.99311136<NA><NA>주소지 부근 도로(칠갑산로) 방음벽 앞충청남도 청양군 목면 대평리 647도로변전선/건물과의 충돌방음벽과의 충돌36 24 33.7126 59 35.2<NA><NA>212226우측 안구손상 및 내상(추정)
22019-1202참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-07-282019-07-28폐사체<NA>기타FemaleAdult36.439611126.780056116<NA><NA>청양고추문화마을 화장실 앞 도로변충청남도 청양군 청양읍 군량리 207도로변전선/건물과의 충돌전선과의 충돌 추정36 26 22.6126 46 48.2<NA><NA>816816충돌에 의한 좌측 오훼골, 요/척골 골절
32019-1773참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-12-302019-12-30DOA<NA>기타MaleJuvenile36.45325126.808417100<NA><NA><NA>충청남도 청양군 청양읍 읍내리 19-1건물옆전선/건물과의 충돌유리창 충돌36 27 11.7126 48 30.3<NA><NA>420420충돌에 의한 뇌진탕 및 좌측 견관절 탈구, 기아/탈진
42019-1377멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-09-032019-09-03안락사<NA>기타UnknownJuvenile36.397778126.8602558<NA><NA><NA>충청남도 청양군 대치면 작천리 8-6도로변차량과의 충돌차량충돌 추정36 23 52.0126 51 36.9<NA><NA>162162충돌에 의한 우측 완전골 근위부 개방골절
52019-1123솔부엉이조강(Aves)올빼미목올빼미과324-3해당없음부속서 2종<NA><NA>2019-07-222019-07-25폐사<NA>기타UnknownJuvenile36.411126.94742<NA><NA>주소지 앞 도로 위충청남도 청양군 정산면 서정리 173-4도로변어미를 잃음(미아)어미를 잃은 개체36 24 39.6126 56 49.2<NA><NA>148152두부 열상/미아
62019-0597수리부엉이조강(Aves)올빼미목올빼미과324-22 급부속서 2종<NA><NA>2019-05-292019-06-27방생충청남도 청양군 대치면 탄정리 34-22<NA>UnknownUnknown36.364417126.8375282936.430778126.831232주소지 인근 밭충청남도 청양군 장평면 죽림리 168농경지인공구조물에 얽힘밭그물 걸림36 21 51.9126 50 15.136 25 50.1126 49 54.415122068밭그물에 얽힌 개체
72019-0694수리부엉이조강(Aves)올빼미목올빼미과324-22 급부속서 2종<NA><NA>2019-06-072019-06-10안락사<NA>기타UnknownUnknown36.409167126.98677829<NA><NA>충청남도 청양군 목면 대평리 685-1농경지인공구조물에 얽힘밭그물에 걸림36 24 33.0126 59 12.4<NA><NA>01590밭그물에 걸린 개체, 좌측 발 승저증
82019-0318올빼미조강(Aves)올빼미목올빼미과324-12 급부속서 2종<NA><NA>2019-05-022019-07-05방생충청남도 청양군 비봉면 관산리 산 18-8<NA>UnknownNestling36.458861126.80552817036.523774126.809974<NA>충청남도 청양군 청양읍 읍내리 산 4-1어미를 잃음(미아)둥지 추락으로 추정됨36 27 31.9126 48 19.936 31 25.5126 48 35.8298438둥지추락으로 인한 미아 상태의 개체
92019-1158제비조강(Aves)참새목제비과해당없음해당없음해당없음<NA><NA>2019-07-262019-07-27방생충청남도 청양군 정산면 백곡리 76-1<NA>UnknownNestling36.412389126.9710833636.412389126.971038<NA>충청남도 청양군 정산면 백곡리 76-1건물옆추락둥지째로 추락함36 24 44.6126 58 15.936 24 44.7126 58 15.800둥지 추락으로 인한 가벼운 부상
접수번호동물국문명천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
762021-1194고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-06-292021-07-11폐사<NA>기타Male0년1월0일36.556833126.87769487<NA><NA>비닐하우스 뒤에 있는 주택충청남도 청양군 운곡면 추광리 165건물옆어미를 잃음(미아)어미를 잃음(미아)36 33 24.6126 52 39.7<NA><NA>9661100단순 미아
772021-1205고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-06-292021-06-29안락사<NA>기타Unknown1년1월0일36.416126.694528153<NA><NA>도로변충청남도 청양군 화성면 장계리 741-14도로변차량과의 충돌차량과의 충돌36 24 57.6126 41 40.3<NA><NA>1352013520차량 충돌에 의한 요추 골절
782021-1245고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-07-042021-07-04방생충청남도 청양군 청남면 왕진리 산 43<NA>Unknown0년0월0일36.334583126.9413332936.336335126.940426농수로충청남도 청양군 청남면 왕진리 867농경지농수로 고립농수로 고립36 20 04.5126 56 28.836 20 10.4126 56 25.300단순 미아
792021-1923고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-11-192021-11-19안락사<NA>기타Female3년6월0일36.453667126.809194102<NA><NA><NA>충청남도 청양군 청양읍 읍내리 23-3도로변차량과의 충돌차량과의 충돌36 27 13.2126 48 33.1<NA><NA>1304013040차량 충돌에 의한 다발성 골절 및 뇌진탕
802021-2081고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-12-302022-01-14안락사<NA>기타Female2년7월0일36.428306126.71038983<NA><NA>도로변충청남도 청양군 화성면 화강리 219-1도로변차량과의 충돌차량과의 충돌36 25 41.9126 42 37.4<NA><NA>1818014140차량 충돌에 의한 심한 뇌진탕 및 우측 뒷발목허리뼈 골절, 전후지 발가락 피부 열상
812021-0256너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-03-132021-03-15폐사<NA>기타Male0년0월0일36.358083126.84702851<NA><NA>주소지 부근 민가충청남도 청양군 장평면 죽림리 28-2건물옆기생충 중감염기생충 중감염/개선충36 21 29.1126 50 49.3<NA><NA>32203220개선충 중감염
822021-1861너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-052021-11-15폐사<NA>냉동Male0년7월0일36.368389126.79575119<NA><NA>주소지 부근 건물 옆 자재 더미충청남도 청양군 남양면 온직리 601건물옆기생충 중감염기생충 중감염/개선충 중감염36 22 06.2126 47 44.7<NA><NA>38403680개선충 중감염
832021-2065너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-232021-12-27폐사<NA>기타Female0년0월0일36.409639126.79047298<NA><NA>비닐하우스충청남도 청양군 남양면 금정리 616-1건물옆기생충 중감염기생충 중감염/개선충36 24 34.7126 47 25.7<NA><NA>43204320개선충 중감염
842021-2074너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-282021-12-31폐사<NA>기타Female0년0월0일36.404639126.79177895<NA><NA><NA>충청남도 청양군 남양면 대봉리 7-1농경지기생충 중감염기생충 중감염/개선충36 24 16.7126 47 30.4<NA><NA>33603360개선충 중감염, 저체온증, 심한 탈수
852021-1548청설모포유강(Mammalia)쥐목청서과해당없음해당없음해당없음<NA><NA>2021-08-192021-08-19안락사<NA>기타Female0년0월0일36.349417126.96091724<NA><NA>주소지 부근 염소 축사 내부충청남도 청양군 청남면 청소리 122-1건물옆기타기타/가축(염소)에게 공격받음36 20 57.9126 57 39.3<NA><NA>356356L7 손상 추정/ 후지쪽 심한 승저증