Overview

Dataset statistics

Number of variables34
Number of observations79
Missing cells416
Missing cells (%)15.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.7 KiB
Average record size in memory280.7 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 금산군 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=68&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109256

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (61.5%)Imbalance
멸종위기등급 is highly imbalanced (59.4%)Imbalance
발견일시 has 78 (98.7%) missing valuesMissing
접수일시 has 78 (98.7%) missing valuesMissing
이첩 방생 위치 has 49 (62.0%) missing valuesMissing
방생위도 has 50 (63.3%) missing valuesMissing
방생경도 has 50 (63.3%) missing valuesMissing
발견장소상세 has 11 (13.9%) missing valuesMissing
방생위도(TM방생위도) has 50 (63.3%) missing valuesMissing
방생경도(TM방생경도) has 50 (63.3%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 1 (1.3%) zerosZeros
등록체중 has 16 (20.3%) zerosZeros
현재체중 has 16 (20.3%) zerosZeros

Reproduction

Analysis started2024-01-09 20:17:41.062823
Analysis finished2024-01-09 20:17:41.711009
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct79
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-10T05:17:41.876274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters711
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

Unique79 ?
Unique (%)100.0%

Sample

1st row2019-1715
2nd row2019-1714
3rd row2019-0624
4th row2019-1040
5th row2019-0254
ValueCountFrequency (%)
2019-1715 1
 
1.3%
2021-1711 1
 
1.3%
2021-0336 1
 
1.3%
2021-2006 1
 
1.3%
2021-1309 1
 
1.3%
2020-1619 1
 
1.3%
2020-1382 1
 
1.3%
2020-1124 1
 
1.3%
2020-0897 1
 
1.3%
2020-0328 1
 
1.3%
Other values (69) 69
87.3%
2024-01-10T05:17:42.183008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 174
24.5%
2 151
21.2%
1 103
14.5%
- 79
11.1%
9 48
 
6.8%
5 32
 
4.5%
3 32
 
4.5%
6 26
 
3.7%
7 25
 
3.5%
4 21
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
88.9%
Dash Punctuation 79
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 174
27.5%
2 151
23.9%
1 103
16.3%
9 48
 
7.6%
5 32
 
5.1%
3 32
 
5.1%
6 26
 
4.1%
7 25
 
4.0%
4 21
 
3.3%
8 20
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 711
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 174
24.5%
2 151
21.2%
1 103
14.5%
- 79
11.1%
9 48
 
6.8%
5 32
 
4.5%
3 32
 
4.5%
6 26
 
3.7%
7 25
 
3.5%
4 21
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 711
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 174
24.5%
2 151
21.2%
1 103
14.5%
- 79
11.1%
9 48
 
6.8%
5 32
 
4.5%
3 32
 
4.5%
6 26
 
3.7%
7 25
 
3.5%
4 21
 
3.0%

동물국문명
Categorical

Distinct31
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
고라니
12 
딱새
11 
물까치
너구리
알락할미새
Other values (26)
38 

Length

Max length6
Median length3
Mean length3.0759494
Min length1

Unique

Unique19 ?
Unique (%)24.1%

Sample

1st row참매
2nd row멧비둘기
3rd row소쩍새
4th row소쩍새
5th row방울새

Common Values

ValueCountFrequency (%)
고라니 12
15.2%
딱새 11
13.9%
물까치 7
 
8.9%
너구리 6
 
7.6%
알락할미새 5
 
6.3%
소쩍새 4
 
5.1%
수리부엉이 3
 
3.8%
멧비둘기 3
 
3.8%
참매 3
 
3.8%
파랑새 2
 
2.5%
Other values (21) 23
29.1%

Length

2024-01-10T05:17:42.518811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 12
15.2%
딱새 11
13.9%
물까치 7
 
8.9%
너구리 6
 
7.6%
알락할미새 5
 
6.3%
소쩍새 4
 
5.1%
수리부엉이 3
 
3.8%
멧비둘기 3
 
3.8%
참매 3
 
3.8%
중대백로㉵ 2
 
2.5%
Other values (21) 23
29.1%


Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
조강(Aves)
56 
포유강(Mammalia)
23 

Length

Max length13
Median length8
Mean length9.4556962
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) 56
70.9%
포유강(Mammalia) 23
29.1%

Length

2024-01-10T05:17:42.603677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:42.683124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 56
70.9%
포유강(mammalia 23
29.1%


Categorical

Distinct11
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
참새목
28 
소목
12 
식육목
11 
올빼미목
매목
Other values (6)
14 

Length

Max length4
Median length3
Mean length2.9620253
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
참새목 28
35.4%
소목 12
15.2%
식육목 11
 
13.9%
올빼미목 8
 
10.1%
매목 6
 
7.6%
파랑새목 4
 
5.1%
비둘기목 3
 
3.8%
황새목 3
 
3.8%
닭목 2
 
2.5%
두견이목 1
 
1.3%

Length

2024-01-10T05:17:42.782641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참새목 28
35.4%
소목 12
15.2%
식육목 11
 
13.9%
올빼미목 8
 
10.1%
매목 6
 
7.6%
파랑새목 4
 
5.1%
비둘기목 3
 
3.8%
황새목 3
 
3.8%
닭목 2
 
2.5%
두견이목 1
 
1.3%


Categorical

Distinct21
Distinct (%)26.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
사슴과
12 
솔딱새과
11 
올빼미과
까마귀과
개과
Other values (16)
34 

Length

Max length4
Median length4
Mean length3.5316456
Min length2

Unique

Unique7 ?
Unique (%)8.9%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 12
15.2%
솔딱새과 11
13.9%
올빼미과 8
10.1%
까마귀과 8
10.1%
개과 6
 
7.6%
할미새과 5
 
6.3%
수리과 5
 
6.3%
왜가리과 3
 
3.8%
비둘기과 3
 
3.8%
족제비과 3
 
3.8%
Other values (11) 15
19.0%

Length

2024-01-10T05:17:42.892905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 12
15.2%
솔딱새과 11
13.9%
올빼미과 8
10.1%
까마귀과 8
10.1%
개과 6
 
7.6%
할미새과 5
 
6.3%
수리과 5
 
6.3%
왜가리과 3
 
3.8%
비둘기과 3
 
3.8%
족제비과 3
 
3.8%
Other values (11) 15
19.0%

천연기념물
Categorical

IMBALANCE 

Distinct9
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Memory size764.0 B
해당없음
64 
324-6
 
4
323-1
 
3
324-2
 
3
323-8
 
1
Other values (4)
 
4

Length

Max length5
Median length4
Mean length4.1392405
Min length3

Unique

Unique5 ?
Unique (%)6.3%

Sample

1st row323-1
2nd row해당없음
3rd row324-6
4th row324-6
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 64
81.0%
324-6 4
 
5.1%
323-1 3
 
3.8%
324-2 3
 
3.8%
323-8 1
 
1.3%
324-3 1
 
1.3%
330 1
 
1.3%
323-4 1
 
1.3%
204 1
 
1.3%

Length

2024-01-10T05:17:43.003913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:43.106626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 64
81.0%
324-6 4
 
5.1%
323-1 3
 
3.8%
324-2 3
 
3.8%
323-8 1
 
1.3%
324-3 1
 
1.3%
330 1
 
1.3%
323-4 1
 
1.3%
204 1
 
1.3%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
해당없음
68 
2 급
10 
1 급
 
1

Length

Max length4
Median length4
Mean length3.8607595
Min length3

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 68
86.1%
2 급 10
 
12.7%
1 급 1
 
1.3%

Length

2024-01-10T05:17:43.209150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:43.292631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 68
75.6%
11
 
12.2%
2 10
 
11.1%
1 1
 
1.1%
Distinct3
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size764.0 B
해당없음
61 
부속서 2종
17 
부속서 1종
 
1

Length

Max length6
Median length4
Mean length4.4556962
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 61
77.2%
부속서 2종 17
 
21.5%
부속서 1종 1
 
1.3%

Length

2024-01-10T05:17:43.387823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:43.489086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 61
62.9%
부속서 18
 
18.6%
2종 17
 
17.5%
1종 1
 
1.0%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing78
Missing (%)98.7%
Memory size764.0 B
Minimum2019-12-11 00:00:00
Maximum2019-12-11 00:00:00
2024-01-10T05:17:43.558724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:17:43.630398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing78
Missing (%)98.7%
Memory size764.0 B
Minimum2019-12-11 00:00:00
Maximum2019-12-11 00:00:00
2024-01-10T05:17:43.705419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:17:43.774280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct58
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2019-03-06 00:00:00
Maximum2021-12-06 00:00:00
2024-01-10T05:17:43.866712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:17:43.982779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct60
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
Minimum2019-03-18 00:00:00
Maximum2021-12-08 00:00:00
2024-01-10T05:17:44.087357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:17:44.190689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct7
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
방생
29 
안락사
19 
폐사체
14 
폐사
10 
DOA
Other values (2)
 
2

Length

Max length3
Median length2
Mean length2.4810127
Min length2

Unique

Unique2 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
방생 29
36.7%
안락사 19
24.1%
폐사체 14
17.7%
폐사 10
 
12.7%
DOA 5
 
6.3%
이첩 1
 
1.3%
계류 1
 
1.3%

Length

2024-01-10T05:17:44.286376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:44.375300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 29
36.7%
안락사 19
24.1%
폐사체 14
17.7%
폐사 10
 
12.7%
doa 5
 
6.3%
이첩 1
 
1.3%
계류 1
 
1.3%

이첩 방생 위치
Text

MISSING 

Distinct20
Distinct (%)66.7%
Missing49
Missing (%)62.0%
Memory size764.0 B
2024-01-10T05:17:44.544897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.1
Min length5

Characters and Unicode

Total characters603
Distinct characters74
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

Unique17 ?
Unique (%)56.7%

Sample

1st row충청남도 금산군 군북면 상곡리 산 32
2nd row충청남도 아산시 도고면 신유리 산 38-7
3rd row충청남도 예산군 예산읍 대회리 1
4th row충청남도 금산군 추부면 요광리 952-1
5th row충청남도 금산군 추부면 요광리 952-1
ValueCountFrequency (%)
충청남도 28
18.8%
금산군 16
 
10.7%
진산면 7
 
4.7%
예산군 7
 
4.7%
지방리 6
 
4.0%
108 6
 
4.0%
추부면 5
 
3.4%
요광리 5
 
3.4%
952-1 5
 
3.4%
5
 
3.4%
Other values (48) 59
39.6%
2024-01-10T05:17:44.850868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
121
20.1%
41
 
6.8%
29
 
4.8%
29
 
4.8%
29
 
4.8%
28
 
4.6%
28
 
4.6%
26
 
4.3%
1 25
 
4.1%
24
 
4.0%
Other values (64) 223
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
62.9%
Space Separator 121
 
20.1%
Decimal Number 88
 
14.6%
Dash Punctuation 15
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
41
 
10.8%
29
 
7.7%
29
 
7.7%
29
 
7.7%
28
 
7.4%
28
 
7.4%
26
 
6.9%
24
 
6.3%
17
 
4.5%
10
 
2.6%
Other values (52) 118
31.1%
Decimal Number
ValueCountFrequency (%)
1 25
28.4%
8 13
14.8%
2 12
13.6%
0 9
 
10.2%
3 8
 
9.1%
5 7
 
8.0%
4 5
 
5.7%
9 5
 
5.7%
7 3
 
3.4%
6 1
 
1.1%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
62.9%
Common 224
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
10.8%
29
 
7.7%
29
 
7.7%
29
 
7.7%
28
 
7.4%
28
 
7.4%
26
 
6.9%
24
 
6.3%
17
 
4.5%
10
 
2.6%
Other values (52) 118
31.1%
Common
ValueCountFrequency (%)
121
54.0%
1 25
 
11.2%
- 15
 
6.7%
8 13
 
5.8%
2 12
 
5.4%
0 9
 
4.0%
3 8
 
3.6%
5 7
 
3.1%
4 5
 
2.2%
9 5
 
2.2%
Other values (2) 4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
62.9%
ASCII 224
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
121
54.0%
1 25
 
11.2%
- 15
 
6.7%
8 13
 
5.8%
2 12
 
5.4%
0 9
 
4.0%
3 8
 
3.6%
5 7
 
3.1%
4 5
 
2.2%
9 5
 
2.2%
Other values (2) 4
 
1.8%
Hangul
ValueCountFrequency (%)
41
 
10.8%
29
 
7.7%
29
 
7.7%
29
 
7.7%
28
 
7.4%
28
 
7.4%
26
 
6.9%
24
 
6.3%
17
 
4.5%
10
 
2.6%
Other values (52) 118
31.1%

사체처리
Categorical

Distinct2
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
기타
48 
<NA>
31 

Length

Max length4
Median length2
Mean length2.7848101
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 48
60.8%
<NA> 31
39.2%

Length

2024-01-10T05:17:44.968128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:45.058299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 48
60.8%
na 31
39.2%

동물성별
Categorical

Distinct4
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size764.0 B
Unknown
59 
Female
12 
Male
Female(?)
 
1

Length

Max length9
Median length7
Mean length6.6075949
Min length4

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 59
74.7%
Female 12
 
15.2%
Male 7
 
8.9%
Female(?) 1
 
1.3%

Length

2024-01-10T05:17:45.143739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:45.229730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 59
74.7%
female 13
 
16.5%
male 7
 
8.9%

동물연령
Categorical

Distinct13
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size764.0 B
Nestling
23 
Juvenile
12 
0년0월0일
12 
Unknown
11 
Adult
10 
Other values (8)
11 

Length

Max length8
Median length7
Mean length6.9367089
Min length5

Unique

Unique5 ?
Unique (%)6.3%

Sample

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

Common Values

ValueCountFrequency (%)
Nestling 23
29.1%
Juvenile 12
15.2%
0년0월0일 12
15.2%
Unknown 11
13.9%
Adult 10
12.7%
0년11월0일 2
 
2.5%
0년2월0일 2
 
2.5%
0년3월0일 2
 
2.5%
0년7월0일 1
 
1.3%
1년0월0일 1
 
1.3%
Other values (3) 3
 
3.8%

Length

2024-01-10T05:17:45.325572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nestling 23
29.1%
juvenile 12
15.2%
0년0월0일 12
15.2%
unknown 11
13.9%
adult 10
12.7%
0년11월0일 2
 
2.5%
0년2월0일 2
 
2.5%
0년3월0일 2
 
2.5%
0년7월0일 1
 
1.3%
1년0월0일 1
 
1.3%
Other values (3) 3
 
3.8%

구조위도
Real number (ℝ)

Distinct55
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.154244
Minimum36.028889
Maximum36.239417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:45.429077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.028889
5-th percentile36.071278
Q136.108055
median36.162611
Q336.200111
95-th percentile36.227456
Maximum36.239417
Range0.210528
Interquartile range (IQR)0.0920555

Descriptive statistics

Standard deviation0.051382857
Coefficient of variation (CV)0.0014212123
Kurtosis-0.91496325
Mean36.154244
Median Absolute Deviation (MAD)0.043528
Skewness-0.30981891
Sum2856.1853
Variance0.002640198
MonotonicityNot monotonic
2024-01-10T05:17:45.534072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.18175 7
 
8.9%
36.200111 7
 
8.9%
36.213028 5
 
6.3%
36.090944 4
 
5.1%
36.206139 2
 
2.5%
36.108694 2
 
2.5%
36.171056 2
 
2.5%
36.102861 2
 
2.5%
36.159944 2
 
2.5%
36.157 1
 
1.3%
Other values (45) 45
57.0%
ValueCountFrequency (%)
36.028889 1
 
1.3%
36.051333 1
 
1.3%
36.064389 1
 
1.3%
36.064528 1
 
1.3%
36.072028 1
 
1.3%
36.083833 1
 
1.3%
36.088278 1
 
1.3%
36.090944 4
5.1%
36.09125 1
 
1.3%
36.094472 1
 
1.3%
ValueCountFrequency (%)
36.239417 1
 
1.3%
36.23602800000001 1
 
1.3%
36.232972 1
 
1.3%
36.232306 1
 
1.3%
36.226917 1
 
1.3%
36.223917 1
 
1.3%
36.221639 1
 
1.3%
36.213028 5
6.3%
36.206139 2
 
2.5%
36.201583 1
 
1.3%

구조경도
Real number (ℝ)

Distinct57
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.45141
Minimum127.32631
Maximum127.59767
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:45.637329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.32631
5-th percentile127.35686
Q1127.38628
median127.47694
Q3127.50336
95-th percentile127.5361
Maximum127.59767
Range0.271361
Interquartile range (IQR)0.117083

Descriptive statistics

Standard deviation0.068024183
Coefficient of variation (CV)0.0005337264
Kurtosis-1.0229198
Mean127.45141
Median Absolute Deviation (MAD)0.043695
Skewness-0.14701791
Sum10068.661
Variance0.0046272894
MonotonicityNot monotonic
2024-01-10T05:17:45.774097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.358722 7
 
8.9%
127.357028 6
 
7.6%
127.491333 5
 
6.3%
127.520639 4
 
5.1%
127.487639 2
 
2.5%
127.441028 2
 
2.5%
127.405472 2
 
2.5%
127.491556 2
 
2.5%
127.436389 1
 
1.3%
127.477639 1
 
1.3%
Other values (47) 47
59.5%
ValueCountFrequency (%)
127.326306 1
 
1.3%
127.341056 1
 
1.3%
127.354944 1
 
1.3%
127.355333 1
 
1.3%
127.357028 6
7.6%
127.358722 7
8.9%
127.361056 1
 
1.3%
127.379472 1
 
1.3%
127.384 1
 
1.3%
127.388556 1
 
1.3%
ValueCountFrequency (%)
127.597667 1
 
1.3%
127.579861 1
 
1.3%
127.571778 1
 
1.3%
127.571722 1
 
1.3%
127.532139 1
 
1.3%
127.528306 1
 
1.3%
127.526639 1
 
1.3%
127.523417 1
 
1.3%
127.520778 1
 
1.3%
127.520639 4
5.1%

구조고도
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)57.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.79747
Minimum0
Maximum384
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:45.888541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile137
Q1160
median173
Q3201.5
95-th percentile294
Maximum384
Range384
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation52.875369
Coefficient of variation (CV)0.28458606
Kurtosis4.1915524
Mean185.79747
Median Absolute Deviation (MAD)15
Skewness0.9607607
Sum14678
Variance2795.8046
MonotonicityNot monotonic
2024-01-10T05:17:46.007008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
137 7
 
8.9%
166 6
 
7.6%
174 6
 
7.6%
163 4
 
5.1%
159 4
 
5.1%
161 3
 
3.8%
178 2
 
2.5%
173 2
 
2.5%
170 2
 
2.5%
224 2
 
2.5%
Other values (35) 41
51.9%
ValueCountFrequency (%)
0 1
 
1.3%
124 1
 
1.3%
137 7
8.9%
148 1
 
1.3%
149 1
 
1.3%
150 1
 
1.3%
151 1
 
1.3%
155 1
 
1.3%
158 2
 
2.5%
159 4
5.1%
ValueCountFrequency (%)
384 1
1.3%
346 1
1.3%
298 1
1.3%
294 2
2.5%
287 1
1.3%
274 1
1.3%
256 1
1.3%
244 2
2.5%
234 1
1.3%
227 1
1.3%

방생위도
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)62.1%
Missing50
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean36.412111
Minimum36.064326
Maximum36.984981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:46.114186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.064326
5-th percentile36.149383
Q136.182274
median36.212925
Q336.670081
95-th percentile36.851549
Maximum36.984981
Range0.92065468
Interquartile range (IQR)0.48780728

Descriptive statistics

Standard deviation0.27905594
Coefficient of variation (CV)0.0076638221
Kurtosis-1.3237226
Mean36.412111
Median Absolute Deviation (MAD)0.06434427
Skewness0.53128695
Sum1055.9512
Variance0.077872218
MonotonicityNot monotonic
2024-01-10T05:17:46.201049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
36.18227411 6
 
7.6%
36.21292512 5
 
6.3%
36.67008139 3
 
3.8%
36.06432616 1
 
1.3%
36.85554797 1
 
1.3%
36.66847615 1
 
1.3%
36.14858085 1
 
1.3%
36.6657283 1
 
1.3%
36.17306931 1
 
1.3%
36.20998578 1
 
1.3%
Other values (8) 8
 
10.1%
(Missing) 50
63.3%
ValueCountFrequency (%)
36.06432616 1
 
1.3%
36.14858085 1
 
1.3%
36.15058662 1
 
1.3%
36.17306931 1
 
1.3%
36.18227411 6
7.6%
36.20998578 1
 
1.3%
36.21292512 5
6.3%
36.36423388 1
 
1.3%
36.60228676 1
 
1.3%
36.62027762 1
 
1.3%
ValueCountFrequency (%)
36.98498084 1
 
1.3%
36.85554797 1
 
1.3%
36.8455508 1
 
1.3%
36.7391509 1
 
1.3%
36.68992275 1
 
1.3%
36.67008139 3
3.8%
36.66847615 1
 
1.3%
36.6657283 1
 
1.3%
36.62027762 1
 
1.3%
36.60228676 1
 
1.3%

방생경도
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)62.1%
Missing50
Missing (%)63.3%
Infinite0
Infinite (%)0.0%
Mean127.1848
Minimum126.53775
Maximum127.57416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:46.291858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53775
5-th percentile126.77765
Q1126.86749
median127.35734
Q3127.45648
95-th percentile127.49118
Maximum127.57416
Range1.0364078
Interquartile range (IQR)0.5889961

Descriptive statistics

Standard deviation0.30426628
Coefficient of variation (CV)0.0023923164
Kurtosis-1.3158951
Mean127.1848
Median Absolute Deviation (MAD)0.1338456
Skewness-0.46293419
Sum3688.3591
Variance0.092577969
MonotonicityNot monotonic
2024-01-10T05:17:46.386868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
127.3573393 6
 
7.6%
127.49118490000002 5
 
6.3%
126.85966609999998 3
 
3.8%
127.4582567 1
 
1.3%
127.0073085 1
 
1.3%
126.8674882 1
 
1.3%
127.4044763 1
 
1.3%
126.8597498 1
 
1.3%
127.4392382 1
 
1.3%
127.5741597 1
 
1.3%
Other values (8) 8
 
10.1%
(Missing) 50
63.3%
ValueCountFrequency (%)
126.5377519 1
 
1.3%
126.7382852 1
 
1.3%
126.8366882 1
 
1.3%
126.85966609999998 3
3.8%
126.8597498 1
 
1.3%
126.8674882 1
 
1.3%
126.87357040000002 1
 
1.3%
126.9054754 1
 
1.3%
126.9510594 1
 
1.3%
127.0073085 1
 
1.3%
ValueCountFrequency (%)
127.5741597 1
 
1.3%
127.49118490000002 5
6.3%
127.4582567 1
 
1.3%
127.4564843 1
 
1.3%
127.4392382 1
 
1.3%
127.4044763 1
 
1.3%
127.3573393 6
7.6%
127.2701479 1
 
1.3%
127.0073085 1
 
1.3%
126.9510594 1
 
1.3%

발견장소상세
Text

MISSING 

Distinct46
Distinct (%)67.6%
Missing11
Missing (%)13.9%
Memory size764.0 B
2024-01-10T05:17:46.580586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length18
Mean length10.794118
Min length1

Characters and Unicode

Total characters734
Distinct characters133
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)55.9%

Sample

1st row상곡초등학교
2nd row상곡초등학교
3rd row금산간디중학교 기숙사
4th row위 주소는 인계지 주소
5th row(실학로 463) 레미콘 공장
ValueCountFrequency (%)
주소지 10
 
4.7%
부근 9
 
4.3%
공장 9
 
4.3%
주택 8
 
3.8%
8
 
3.8%
실학로 7
 
3.3%
주소 7
 
3.3%
7
 
3.3%
건물 7
 
3.3%
7
 
3.3%
Other values (67) 132
62.6%
2024-01-10T05:17:46.894359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
156
 
21.3%
31
 
4.2%
24
 
3.3%
24
 
3.3%
23
 
3.1%
19
 
2.6%
19
 
2.6%
17
 
2.3%
13
 
1.8%
( 13
 
1.8%
Other values (123) 395
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
70.3%
Space Separator 156
 
21.3%
Decimal Number 31
 
4.2%
Open Punctuation 13
 
1.8%
Close Punctuation 13
 
1.8%
Dash Punctuation 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
31
 
6.0%
24
 
4.7%
24
 
4.7%
23
 
4.5%
19
 
3.7%
19
 
3.7%
17
 
3.3%
13
 
2.5%
13
 
2.5%
11
 
2.1%
Other values (114) 322
62.4%
Decimal Number
ValueCountFrequency (%)
6 7
22.6%
4 7
22.6%
3 7
22.6%
9 5
16.1%
8 5
16.1%
Space Separator
ValueCountFrequency (%)
156
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
70.3%
Common 218
29.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
31
 
6.0%
24
 
4.7%
24
 
4.7%
23
 
4.5%
19
 
3.7%
19
 
3.7%
17
 
3.3%
13
 
2.5%
13
 
2.5%
11
 
2.1%
Other values (114) 322
62.4%
Common
ValueCountFrequency (%)
156
71.6%
( 13
 
6.0%
) 13
 
6.0%
6 7
 
3.2%
4 7
 
3.2%
3 7
 
3.2%
- 5
 
2.3%
9 5
 
2.3%
8 5
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
70.3%
ASCII 218
29.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
156
71.6%
( 13
 
6.0%
) 13
 
6.0%
6 7
 
3.2%
4 7
 
3.2%
3 7
 
3.2%
- 5
 
2.3%
9 5
 
2.3%
8 5
 
2.3%
Hangul
ValueCountFrequency (%)
31
 
6.0%
24
 
4.7%
24
 
4.7%
23
 
4.5%
19
 
3.7%
19
 
3.7%
17
 
3.3%
13
 
2.5%
13
 
2.5%
11
 
2.1%
Other values (114) 322
62.4%
Distinct56
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-10T05:17:47.127080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.734177
Min length11

Characters and Unicode

Total characters1638
Distinct characters83
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

Unique47 ?
Unique (%)59.5%

Sample

1st row충청남도 금산군 군북면 상곡리 159
2nd row충청남도 금산군 군북면 상곡리 159
3rd row충청남도 금산군 남이면 석동리 75
4th row충청남도 금산군 복수면 곡남리 59
5th row충청남도 금산군 금산읍 신대리 807
ValueCountFrequency (%)
충청남도 79
20.1%
금산군 79
20.1%
진산면 22
 
5.6%
추부면 13
 
3.3%
금산읍 11
 
2.8%
복수면 9
 
2.3%
막현리 8
 
2.0%
288 7
 
1.8%
지방리 7
 
1.8%
금성면 7
 
1.8%
Other values (97) 151
38.4%
2024-01-10T05:17:47.463923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314
19.2%
114
 
7.0%
98
 
6.0%
86
 
5.3%
83
 
5.1%
83
 
5.1%
81
 
4.9%
79
 
4.8%
79
 
4.8%
67
 
4.1%
Other values (73) 554
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1023
62.5%
Space Separator 314
 
19.2%
Decimal Number 262
 
16.0%
Dash Punctuation 39
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
114
11.1%
98
9.6%
86
 
8.4%
83
 
8.1%
83
 
8.1%
81
 
7.9%
79
 
7.7%
79
 
7.7%
67
 
6.5%
25
 
2.4%
Other values (61) 228
22.3%
Decimal Number
ValueCountFrequency (%)
2 39
14.9%
1 36
13.7%
8 35
13.4%
3 34
13.0%
5 31
11.8%
9 23
8.8%
7 19
7.3%
4 17
6.5%
0 16
6.1%
6 12
 
4.6%
Space Separator
ValueCountFrequency (%)
314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1023
62.5%
Common 615
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
114
11.1%
98
9.6%
86
 
8.4%
83
 
8.1%
83
 
8.1%
81
 
7.9%
79
 
7.7%
79
 
7.7%
67
 
6.5%
25
 
2.4%
Other values (61) 228
22.3%
Common
ValueCountFrequency (%)
314
51.1%
- 39
 
6.3%
2 39
 
6.3%
1 36
 
5.9%
8 35
 
5.7%
3 34
 
5.5%
5 31
 
5.0%
9 23
 
3.7%
7 19
 
3.1%
4 17
 
2.8%
Other values (2) 28
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1023
62.5%
ASCII 615
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
314
51.1%
- 39
 
6.3%
2 39
 
6.3%
1 36
 
5.9%
8 35
 
5.7%
3 34
 
5.5%
5 31
 
5.0%
9 23
 
3.7%
7 19
 
3.1%
4 17
 
2.8%
Other values (2) 28
 
4.6%
Hangul
ValueCountFrequency (%)
114
11.1%
98
9.6%
86
 
8.4%
83
 
8.1%
83
 
8.1%
81
 
7.9%
79
 
7.7%
79
 
7.7%
67
 
6.5%
25
 
2.4%
Other values (61) 228
22.3%
Distinct6
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
건물옆
41 
기타
16 
도로변
농경지

Length

Max length5
Median length3
Mean length2.6962025
Min length1

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 41
51.9%
기타 16
 
20.3%
도로변 9
 
11.4%
농경지 7
 
8.9%
5
 
6.3%
강, 바다 1
 
1.3%

Length

2024-01-10T05:17:47.583450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:17:47.680026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 41
51.2%
기타 16
 
20.0%
도로변 9
 
11.2%
농경지 7
 
8.8%
5
 
6.2%
1
 
1.2%
바다 1
 
1.2%

발생원인
Categorical

Distinct14
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
어미를 잃음(미아)
22 
전선/건물과의 충돌
18 
차량과의 충돌
기타
기생충 중감염
Other values (9)
20 

Length

Max length11
Median length10
Mean length8.2025316
Min length1

Unique

Unique3 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 22
27.8%
전선/건물과의 충돌 18
22.8%
차량과의 충돌 8
 
10.1%
기타 6
 
7.6%
기생충 중감염 5
 
6.3%
인공구조물 침입·고립 4
 
5.1%
부적절한 사육 4
 
5.1%
알 수 없는 사고 3
 
3.8%
추락 2
 
2.5%
2
 
2.5%
Other values (4) 5
 
6.3%

Length

2024-01-10T05:17:47.774029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 26
16.7%
어미를 22
14.1%
잃음(미아 22
14.1%
전선/건물과의 18
11.5%
차량과의 8
 
5.1%
기타 6
 
3.8%
기생충 5
 
3.2%
중감염 5
 
3.2%
인공구조물 4
 
2.6%
침입·고립 4
 
2.6%
Other values (17) 36
23.1%
Distinct44
Distinct (%)55.7%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-10T05:17:48.012487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length12.493671
Min length2

Characters and Unicode

Total characters987
Distinct characters156
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)39.2%

Sample

1st row유리창 충돌
2nd row유리창 충돌
3rd row유리창 충돌 추정
4th row유조를 발견한 사람이 119에 전달
5th row이소 과정에서 낙오된 개체 도로변에서 구조됨
ValueCountFrequency (%)
충돌 24
 
8.8%
둥지 14
 
5.1%
추정 12
 
4.4%
어미를 11
 
4.0%
잃음 8
 
2.9%
인위적인 7
 
2.6%
이동에 7
 
2.6%
의해 7
 
2.6%
유리창 6
 
2.2%
기타 6
 
2.2%
Other values (114) 170
62.5%
2024-01-10T05:17:48.427223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
203
 
20.6%
35
 
3.5%
28
 
2.8%
27
 
2.7%
23
 
2.3%
22
 
2.2%
20
 
2.0%
19
 
1.9%
17
 
1.7%
17
 
1.7%
Other values (146) 576
58.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 750
76.0%
Space Separator 203
 
20.6%
Other Punctuation 12
 
1.2%
Close Punctuation 8
 
0.8%
Open Punctuation 8
 
0.8%
Decimal Number 5
 
0.5%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
35
 
4.7%
28
 
3.7%
27
 
3.6%
23
 
3.1%
22
 
2.9%
20
 
2.7%
19
 
2.5%
17
 
2.3%
17
 
2.3%
16
 
2.1%
Other values (136) 526
70.1%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
2 1
20.0%
3 1
20.0%
9 1
20.0%
Other Punctuation
ValueCountFrequency (%)
/ 8
66.7%
, 4
33.3%
Space Separator
ValueCountFrequency (%)
203
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 750
76.0%
Common 237
 
24.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
35
 
4.7%
28
 
3.7%
27
 
3.6%
23
 
3.1%
22
 
2.9%
20
 
2.7%
19
 
2.5%
17
 
2.3%
17
 
2.3%
16
 
2.1%
Other values (136) 526
70.1%
Common
ValueCountFrequency (%)
203
85.7%
/ 8
 
3.4%
) 8
 
3.4%
( 8
 
3.4%
, 4
 
1.7%
1 2
 
0.8%
2 1
 
0.4%
3 1
 
0.4%
~ 1
 
0.4%
9 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 750
76.0%
ASCII 237
 
24.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
203
85.7%
/ 8
 
3.4%
) 8
 
3.4%
( 8
 
3.4%
, 4
 
1.7%
1 2
 
0.8%
2 1
 
0.4%
3 1
 
0.4%
~ 1
 
0.4%
9 1
 
0.4%
Hangul
ValueCountFrequency (%)
35
 
4.7%
28
 
3.7%
27
 
3.6%
23
 
3.1%
22
 
2.9%
20
 
2.7%
19
 
2.5%
17
 
2.3%
17
 
2.3%
16
 
2.1%
Other values (136) 526
70.1%
Distinct55
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-10T05:17:48.593954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters790
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

Unique46 ?
Unique (%)58.2%

Sample

1st row36 12 22.1
2nd row36 12 22.1
3rd row36 03 04.8
4th row36 09 35.8
5th row36 05 28.5
ValueCountFrequency (%)
36 79
33.3%
10 16
 
6.8%
12 15
 
6.3%
06 11
 
4.6%
05 10
 
4.2%
09 8
 
3.4%
54.3 7
 
3.0%
00.4 7
 
3.0%
46.9 5
 
2.1%
13 5
 
2.1%
Other values (58) 74
31.2%
2024-01-10T05:17:49.125982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
20.0%
3 118
14.9%
6 104
13.2%
0 88
11.1%
. 79
10.0%
1 64
8.1%
2 40
 
5.1%
4 39
 
4.9%
5 35
 
4.4%
9 28
 
3.5%
Other values (2) 37
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 553
70.0%
Space Separator 158
 
20.0%
Other Punctuation 79
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 118
21.3%
6 104
18.8%
0 88
15.9%
1 64
11.6%
2 40
 
7.2%
4 39
 
7.1%
5 35
 
6.3%
9 28
 
5.1%
8 19
 
3.4%
7 18
 
3.3%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
158
20.0%
3 118
14.9%
6 104
13.2%
0 88
11.1%
. 79
10.0%
1 64
8.1%
2 40
 
5.1%
4 39
 
4.9%
5 35
 
4.4%
9 28
 
3.5%
Other values (2) 37
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
20.0%
3 118
14.9%
6 104
13.2%
0 88
11.1%
. 79
10.0%
1 64
8.1%
2 40
 
5.1%
4 39
 
4.9%
5 35
 
4.4%
9 28
 
3.5%
Other values (2) 37
 
4.7%
Distinct57
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-10T05:17:49.304760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters869
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

Unique49 ?
Unique (%)62.0%

Sample

1st row127 34 18.4
2nd row127 34 18.2
3rd row127 28 42.3
4th row127 24 19.7
5th row127 30 18.8
ValueCountFrequency (%)
127 79
33.3%
21 16
 
6.8%
29 13
 
5.5%
31 9
 
3.8%
30 8
 
3.4%
28 7
 
3.0%
31.4 7
 
3.0%
25.3 6
 
2.5%
26 6
 
2.5%
28.8 5
 
2.1%
Other values (61) 81
34.2%
2024-01-10T05:17:49.555145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 169
19.4%
158
18.2%
1 145
16.7%
7 102
11.7%
. 79
9.1%
3 55
 
6.3%
4 41
 
4.7%
8 33
 
3.8%
9 28
 
3.2%
0 24
 
2.8%
Other values (2) 35
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
72.7%
Space Separator 158
 
18.2%
Other Punctuation 79
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 169
26.7%
1 145
22.9%
7 102
16.1%
3 55
 
8.7%
4 41
 
6.5%
8 33
 
5.2%
9 28
 
4.4%
0 24
 
3.8%
5 22
 
3.5%
6 13
 
2.1%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 169
19.4%
158
18.2%
1 145
16.7%
7 102
11.7%
. 79
9.1%
3 55
 
6.3%
4 41
 
4.7%
8 33
 
3.8%
9 28
 
3.2%
0 24
 
2.8%
Other values (2) 35
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 169
19.4%
158
18.2%
1 145
16.7%
7 102
11.7%
. 79
9.1%
3 55
 
6.3%
4 41
 
4.7%
8 33
 
3.8%
9 28
 
3.2%
0 24
 
2.8%
Other values (2) 35
 
4.0%
Distinct20
Distinct (%)69.0%
Missing50
Missing (%)63.3%
Memory size764.0 B
2024-01-10T05:17:49.686662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters290
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

Unique18 ?
Unique (%)62.1%

Sample

1st row36 12 36.4
2nd row36 44 19.9
3rd row36 40 11.8
4th row36 12 46.9
5th row36 12 46.9
ValueCountFrequency (%)
36 30
34.5%
10 7
 
8.0%
54.3 6
 
6.9%
12 6
 
6.9%
46.9 5
 
5.7%
40 4
 
4.6%
23.0 2
 
2.3%
21 1
 
1.1%
51.1 1
 
1.1%
39 1
 
1.1%
Other values (24) 24
27.6%
2024-01-10T05:17:49.917054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
20.0%
3 45
15.5%
6 39
13.4%
. 29
10.0%
1 26
9.0%
4 23
 
7.9%
0 21
 
7.2%
5 15
 
5.2%
2 12
 
4.1%
9 11
 
3.8%
Other values (2) 11
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 203
70.0%
Space Separator 58
 
20.0%
Other Punctuation 29
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 45
22.2%
6 39
19.2%
1 26
12.8%
4 23
11.3%
0 21
10.3%
5 15
 
7.4%
2 12
 
5.9%
9 11
 
5.4%
8 9
 
4.4%
7 2
 
1.0%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
58
20.0%
3 45
15.5%
6 39
13.4%
. 29
10.0%
1 26
9.0%
4 23
 
7.9%
0 21
 
7.2%
5 15
 
5.2%
2 12
 
4.1%
9 11
 
3.8%
Other values (2) 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58
20.0%
3 45
15.5%
6 39
13.4%
. 29
10.0%
1 26
9.0%
4 23
 
7.9%
0 21
 
7.2%
5 15
 
5.2%
2 12
 
4.1%
9 11
 
3.8%
Other values (2) 11
 
3.8%
Distinct20
Distinct (%)69.0%
Missing50
Missing (%)63.3%
Memory size764.0 B
2024-01-10T05:17:50.068457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters319
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

Unique18 ?
Unique (%)62.1%

Sample

1st row127 33 50.1
2nd row126 54 18.7
3rd row126 51 45.9
4th row127 29 28.8
5th row127 29 28.8
ValueCountFrequency (%)
127 18
20.7%
126 11
12.6%
25.3 6
 
6.9%
21 6
 
6.9%
29 5
 
5.7%
28.8 5
 
5.7%
51 4
 
4.6%
27 2
 
2.3%
52 2
 
2.3%
26 1
 
1.1%
Other values (27) 27
31.0%
2024-01-10T05:17:50.315978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 65
20.4%
58
18.2%
1 51
16.0%
. 29
9.1%
7 25
 
7.8%
5 20
 
6.3%
8 16
 
5.0%
3 15
 
4.7%
6 14
 
4.4%
0 10
 
3.1%
Other values (2) 16
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 232
72.7%
Space Separator 58
 
18.2%
Other Punctuation 29
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 65
28.0%
1 51
22.0%
7 25
 
10.8%
5 20
 
8.6%
8 16
 
6.9%
3 15
 
6.5%
6 14
 
6.0%
0 10
 
4.3%
9 8
 
3.4%
4 8
 
3.4%
Space Separator
ValueCountFrequency (%)
58
100.0%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 319
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 65
20.4%
58
18.2%
1 51
16.0%
. 29
9.1%
7 25
 
7.8%
5 20
 
6.3%
8 16
 
5.0%
3 15
 
4.7%
6 14
 
4.4%
0 10
 
3.1%
Other values (2) 16
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 319
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 65
20.4%
58
18.2%
1 51
16.0%
. 29
9.1%
7 25
 
7.8%
5 20
 
6.3%
8 16
 
5.0%
3 15
 
4.7%
6 14
 
4.4%
0 10
 
3.1%
Other values (2) 16
 
5.0%

등록체중
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)65.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1874.443
Minimum0
Maximum17560
Zeros16
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:50.430476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median86
Q31061
95-th percentile14104
Maximum17560
Range17560
Interquartile range (IQR)1058

Descriptive statistics

Standard deviation4160.6362
Coefficient of variation (CV)2.2196653
Kurtosis6.012057
Mean1874.443
Median Absolute Deviation (MAD)86
Skewness2.6634903
Sum148081
Variance17310894
MonotonicityNot monotonic
2024-01-10T05:17:50.542042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
20.3%
3 7
 
8.9%
15 3
 
3.8%
72 2
 
2.5%
74 2
 
2.5%
14 2
 
2.5%
4100 2
 
2.5%
620 1
 
1.3%
712 1
 
1.3%
2364 1
 
1.3%
Other values (42) 42
53.2%
ValueCountFrequency (%)
0 16
20.3%
3 7
8.9%
14 2
 
2.5%
15 3
 
3.8%
16 1
 
1.3%
20 1
 
1.3%
25 1
 
1.3%
34 1
 
1.3%
68 1
 
1.3%
72 2
 
2.5%
ValueCountFrequency (%)
17560 1
1.3%
15160 1
1.3%
14940 1
1.3%
14680 1
1.3%
14040 1
1.3%
13760 1
1.3%
11040 1
1.3%
6000 1
1.3%
4580 1
1.3%
4100 2
2.5%

현재체중
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)70.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.9367
Minimum0
Maximum17560
Zeros16
Zeros (%)20.3%
Negative0
Negative (%)0.0%
Memory size843.0 B
2024-01-10T05:17:50.651726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median96
Q31453
95-th percentile14104
Maximum17560
Range17560
Interquartile range (IQR)1450

Descriptive statistics

Standard deviation4190.3856
Coefficient of variation (CV)2.0931659
Kurtosis5.4405199
Mean2001.9367
Median Absolute Deviation (MAD)96
Skewness2.52983
Sum158153
Variance17559332
MonotonicityNot monotonic
2024-01-10T05:17:50.760139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
20.3%
3 7
 
8.9%
14 2
 
2.5%
4100 2
 
2.5%
648 1
 
1.3%
1959 1
 
1.3%
16 1
 
1.3%
86 1
 
1.3%
74 1
 
1.3%
2502 1
 
1.3%
Other values (46) 46
58.2%
ValueCountFrequency (%)
0 16
20.3%
3 7
8.9%
11 1
 
1.3%
13 1
 
1.3%
14 2
 
2.5%
15 1
 
1.3%
16 1
 
1.3%
20 1
 
1.3%
34 1
 
1.3%
64 1
 
1.3%
ValueCountFrequency (%)
17560 1
1.3%
15160 1
1.3%
14940 1
1.3%
14680 1
1.3%
14040 1
1.3%
13760 1
1.3%
11040 1
1.3%
6000 1
1.3%
5840 1
1.3%
5340 1
1.3%
Distinct57
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size764.0 B
2024-01-10T05:17:50.973181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length12.683544
Min length2

Characters and Unicode

Total characters1002
Distinct characters153
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

Unique50 ?
Unique (%)63.3%

Sample

1st row충돌에 의한 우측 아랫부리 골절 및 내부 장기 손상
2nd row유리창 충돌 개체
3rd row충돌에 의한 좌측 상완골 분쇄골절, 요척골 복잡골절
4th row미아
5th row이소 중 둥지에서 추락하여 낙오된 개체
ValueCountFrequency (%)
의한 20
 
6.8%
13
 
4.5%
둥지 13
 
4.5%
골절 13
 
4.5%
충돌에 12
 
4.1%
우측 9
 
3.1%
미아 9
 
3.1%
어미를 8
 
2.7%
인위적인 7
 
2.4%
이동에 7
 
2.4%
Other values (104) 181
62.0%
2024-01-10T05:17:51.303707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
22.0%
45
 
4.5%
29
 
2.9%
29
 
2.9%
28
 
2.8%
26
 
2.6%
22
 
2.2%
21
 
2.1%
19
 
1.9%
19
 
1.9%
Other values (143) 544
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 745
74.4%
Space Separator 220
 
22.0%
Other Punctuation 8
 
0.8%
Open Punctuation 7
 
0.7%
Close Punctuation 7
 
0.7%
Lowercase Letter 7
 
0.7%
Decimal Number 5
 
0.5%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
45
 
6.0%
29
 
3.9%
29
 
3.9%
28
 
3.8%
26
 
3.5%
22
 
3.0%
21
 
2.8%
19
 
2.6%
19
 
2.6%
18
 
2.4%
Other values (128) 489
65.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
28.6%
t 2
28.6%
p 1
14.3%
c 1
14.3%
n 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 1
 
12.5%
/ 1
 
12.5%
Decimal Number
ValueCountFrequency (%)
3 3
60.0%
1 1
 
20.0%
6 1
 
20.0%
Space Separator
ValueCountFrequency (%)
220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 745
74.4%
Common 247
 
24.7%
Latin 10
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
45
 
6.0%
29
 
3.9%
29
 
3.9%
28
 
3.8%
26
 
3.5%
22
 
3.0%
21
 
2.8%
19
 
2.6%
19
 
2.6%
18
 
2.4%
Other values (128) 489
65.6%
Common
ValueCountFrequency (%)
220
89.1%
( 7
 
2.8%
) 7
 
2.8%
, 6
 
2.4%
3 3
 
1.2%
. 1
 
0.4%
/ 1
 
0.4%
1 1
 
0.4%
6 1
 
0.4%
Latin
ValueCountFrequency (%)
L 3
30.0%
e 2
20.0%
t 2
20.0%
p 1
 
10.0%
c 1
 
10.0%
n 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 745
74.4%
ASCII 257
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
85.6%
( 7
 
2.7%
) 7
 
2.7%
, 6
 
2.3%
L 3
 
1.2%
3 3
 
1.2%
e 2
 
0.8%
t 2
 
0.8%
. 1
 
0.4%
/ 1
 
0.4%
Other values (5) 5
 
1.9%
Hangul
ValueCountFrequency (%)
45
 
6.0%
29
 
3.9%
29
 
3.9%
28
 
3.8%
26
 
3.5%
22
 
3.0%
21
 
2.8%
19
 
2.6%
19
 
2.6%
18
 
2.4%
Other values (128) 489
65.6%

Sample

접수번호동물국문명천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-1715참매조강(Aves)매목수리과323-12 급부속서 2종2019-12-112019-12-112019-12-112020-03-17방생충청남도 금산군 군북면 상곡리 산 32<NA>UnknownJuvenile36.206139127.57177824436.209986127.57416상곡초등학교충청남도 금산군 군북면 상곡리 159건물옆전선/건물과의 충돌유리창 충돌36 12 22.1127 34 18.436 12 36.4127 33 50.1620648충돌에 의한 우측 아랫부리 골절 및 내부 장기 손상
12019-1714멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-12-112019-12-11폐사체<NA>기타UnknownJuvenile36.206139127.571722244<NA><NA>상곡초등학교충청남도 금산군 군북면 상곡리 159건물옆전선/건물과의 충돌유리창 충돌36 12 22.1127 34 18.2<NA><NA>240240유리창 충돌 개체
22019-0624소쩍새조강(Aves)올빼미목올빼미과324-6해당없음부속서 2종<NA><NA>2019-05-312019-05-31안락사<NA>기타UnknownAdult36.051333127.478417224<NA><NA>금산간디중학교 기숙사충청남도 금산군 남이면 석동리 75건물옆전선/건물과의 충돌유리창 충돌 추정36 03 04.8127 28 42.3<NA><NA>7272충돌에 의한 좌측 상완골 분쇄골절, 요척골 복잡골절
32019-1040소쩍새조강(Aves)올빼미목올빼미과324-6해당없음부속서 2종<NA><NA>2019-07-122019-08-14방생충청남도 아산시 도고면 신유리 산 38-7<NA>UnknownNestling36.159944127.40547219836.739151126.905475위 주소는 인계지 주소충청남도 금산군 복수면 곡남리 59어미를 잃음(미아)유조를 발견한 사람이 119에 전달36 09 35.8127 24 19.736 44 19.9126 54 18.76882미아
42019-0254방울새조강(Aves)참새목되새과해당없음해당없음해당없음<NA><NA>2019-04-192019-04-21폐사<NA>기타Female(?)Nestling36.09125127.505222150<NA><NA><NA>충청남도 금산군 금산읍 신대리 807도로변추락이소 과정에서 낙오된 개체 도로변에서 구조됨36 05 28.5127 30 18.8<NA><NA>1411이소 중 둥지에서 추락하여 낙오된 개체
52019-0121박새조강(Aves)참새목박새과해당없음해당없음해당없음<NA><NA>2019-03-062019-03-18방생충청남도 예산군 예산읍 대회리 1<NA>FemaleAdult36.195278127.38412436.670081126.859666<NA>충청남도 금산군 복수면 구례리 347-2건물옆전선/건물과의 충돌컨테이너 박스 내에 들어간 후 창문에 2~3회 충돌36 11 43.0127 23 02.436 40 11.8126 51 45.91514충돌에 의한 뇌진탕
62019-0333딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음<NA><NA>2019-05-022019-05-03폐사체<NA>기타UnknownNestling36.200111127.358722137<NA><NA>(실학로 463) 레미콘 공장충청남도 금산군 진산면 막현리 288기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음36 12 00.4127 21 31.4<NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
72019-0334딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음<NA><NA>2019-05-022019-05-03폐사체<NA>기타UnknownNestling36.200111127.358722137<NA><NA>(실학로 463) 레미콘 공장충청남도 금산군 진산면 막현리 288기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음36 12 00.4127 21 31.4<NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
82019-0335딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음<NA><NA>2019-05-022019-05-03폐사체<NA>기타UnknownNestling36.200111127.358722137<NA><NA>(실학로 463) 레미콘 공장충청남도 금산군 진산면 막현리 288기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음36 12 00.4127 21 31.4<NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
92019-0336딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음<NA><NA>2019-05-022019-05-03폐사체<NA>기타UnknownNestling36.200111127.358722137<NA><NA>(실학로 463) 레미콘 공장충청남도 금산군 진산면 막현리 288기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음36 12 00.4127 21 31.4<NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
접수번호동물국문명천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
692021-1668호반새조강(Aves)파랑새목물총새과해당없음해당없음해당없음<NA><NA>2021-09-172021-10-13안락사<NA>기타UnknownAdult36.064528127.507722151<NA><NA>농수로충청남도 금산군 남일면 상동리 87-2농경지전선/건물과의 충돌전선과의 충돌36 03 52.3127 30 27.8<NA><NA>7485전선과의 충돌(추정)에 의한 어깨관절 탈구
702021-0754왜가리조강(Aves)황새목왜가리과해당없음해당없음해당없음<NA><NA>2021-05-262021-05-27폐사체<NA>기타UnknownUnknown36.108694127.487639170<NA><NA>발견지 주소가 누락으로 인계지 주소 설정충청남도 금산군 금산읍 상리 25-1건물옆기아 및 탈진기아 및 탈진36 06 31.3127 29 15.5<NA><NA>834834기아 및 탈진 추정
712021-1045고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-06-152021-06-15안락사<NA>기타Male2년1월0일36.201583127.354944163<NA><NA>채석장 절벽충청남도 금산군 진산면 막현리 299-5추락추락36 12 05.7127 21 17.8<NA><NA>1404014040골반 골절 및 목쪽 열상
722021-1091고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-06-202021-06-23폐사<NA>기타Unknown0년0월20일36.152583127.326306294<NA><NA>에딘버러컨트리클럽 골프장충청남도 금산군 진산면 행정리 산 473-5기타어미를 잃음(미아)어미를 잃음(미아)36 09 09.3127 19 34.7<NA><NA>830812단순 미아
732021-1656고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-09-152021-09-15폐사체<NA>기타Female0년0월0일36.168056127.484694215<NA><NA>고속도로 위충청남도 금산군 금성면 대암리 362-4도로변차량과의 충돌차량과의 충돌36 10 05.0127 29 04.9<NA><NA>1756017560우측 골반뼈 골절
742021-1898고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-11-152021-11-15안락사<NA>기타Male0년0월0일36.223917127.51225174<NA><NA>도로변충청남도 금산군 추부면 신평리 147-7도로변차량과의 충돌차량과의 충돌36 13 26.1127 30 44.1<NA><NA>1376013760L6 골절
752021-0139너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-01-292021-01-30DOA<NA>기타Female0년0월0일36.157127.476944224<NA><NA>금성공단단지충청남도 금산군 금성면 하신리 754건물옆기생충 중감염기생충 중감염/개선충 감염36 09 25.2127 28 37.0<NA><NA>31203120만성 염증으로 인한 쇼크, 빈혈
762021-0414너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-04-202021-06-11방생충청남도 아산시 음봉면 산정리 32-1<NA>Unknown0년0월0일36.088278127.53213917136.855548127.007308주소지 부근 주택충청남도 금산군 부리면 선원리 1158건물옆기생충 중감염기생충 중감염/개선충 감염36 05 17.8127 31 55.736 51 19.8127 00 26.245805340개선충중감염
772021-1889포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-11-132021-11-13안락사<NA>기타Unknown0년0월0일36.097111127.388556298<NA><NA><NA>충청남도 금산군 진산면 오항리 37덫/창애36 05 49.6127 23 18.8<NA><NA>37403740우측 전지 허혈괴사
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