Overview

Dataset statistics

Number of variables32
Number of observations76
Missing cells353
Missing cells (%)14.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.4 KiB
Average record size in memory260.7 B

Variable types

Text14
Categorical13
DateTime2
Numeric3

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 금산군 내에서 발생한 구조 건에 대한 자료임
URLhttps://www.data.go.kr/data/15109256/fileData.do

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 has 45 (59.2%) missing valuesMissing
구조위도 has 8 (10.5%) missing valuesMissing
구조경도 has 8 (10.5%) missing valuesMissing
구조고도 has 8 (10.5%) missing valuesMissing
방생위도 has 56 (73.7%) missing valuesMissing
방생경도 has 56 (73.7%) missing valuesMissing
발견장소상세 has 14 (18.4%) missing valuesMissing
TM구조위도 has 23 (30.3%) missing valuesMissing
TM구조경도 has 23 (30.3%) missing valuesMissing
TM방생위도 has 56 (73.7%) missing valuesMissing
TM방생경도 has 56 (73.7%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 1 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-12 14:39:09.209335
Analysis finished2023-12-12 14:39:10.024007
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T23:39:10.301297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters684
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

Unique76 ?
Unique (%)100.0%

Sample

1st row2019-1714
2nd row2019-0254
3rd row2019-0121
4th row2019-0333
5th row2019-0334
ValueCountFrequency (%)
2019-1714 1
 
1.3%
2021-0750 1
 
1.3%
2021-1091 1
 
1.3%
2021-1045 1
 
1.3%
2021-0754 1
 
1.3%
2021-1668 1
 
1.3%
2021-1383 1
 
1.3%
2021-0753 1
 
1.3%
2021-0752 1
 
1.3%
2019-0254 1
 
1.3%
Other values (66) 66
86.8%
2023-12-12T23:39:10.851586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 169
24.7%
0 153
22.4%
1 95
13.9%
- 76
11.1%
9 43
 
6.3%
5 32
 
4.7%
3 27
 
3.9%
7 25
 
3.7%
6 24
 
3.5%
4 20
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 608
88.9%
Dash Punctuation 76
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 169
27.8%
0 153
25.2%
1 95
15.6%
9 43
 
7.1%
5 32
 
5.3%
3 27
 
4.4%
7 25
 
4.1%
6 24
 
3.9%
4 20
 
3.3%
8 20
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 169
24.7%
0 153
22.4%
1 95
13.9%
- 76
11.1%
9 43
 
6.3%
5 32
 
4.7%
3 27
 
3.9%
7 25
 
3.7%
6 24
 
3.5%
4 20
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 169
24.7%
0 153
22.4%
1 95
13.9%
- 76
11.1%
9 43
 
6.3%
5 32
 
4.7%
3 27
 
3.9%
7 25
 
3.7%
6 24
 
3.5%
4 20
 
2.9%

동물국문명
Categorical

Distinct24
Distinct (%)31.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
딱새
16 
고라니
15 
너구리
8 
물까치
7 
알락할미새
5 
Other values (19)
25 

Length

Max length8
Median length3
Mean length3.1052632
Min length1

Unique

Unique14 ?
Unique (%)18.4%

Sample

1st row멧비둘기
2nd row방울새
3rd row박새
4th row딱새
5th row딱새

Common Values

ValueCountFrequency (%)
딱새 16
21.1%
고라니 15
19.7%
너구리 8
10.5%
물까치 7
9.2%
알락할미새 5
 
6.6%
멧비둘기 3
 
3.9%
중대백로㉵ 2
 
2.6%
파랑새 2
 
2.6%
왜가리 2
 
2.6%
물총새 2
 
2.6%
Other values (14) 14
18.4%

Length

2023-12-12T23:39:11.008501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
딱새 16
21.1%
고라니 15
19.7%
너구리 8
10.5%
물까치 7
9.2%
알락할미새 5
 
6.6%
멧비둘기 3
 
3.9%
중대백로㉵ 2
 
2.6%
파랑새 2
 
2.6%
왜가리 2
 
2.6%
물총새 2
 
2.6%
Other values (14) 14
18.4%

강
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
조강(Aves)
50 
포유강(Mammalia)
26 

Length

Max length13
Median length8
Mean length9.7105263
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) 50
65.8%
포유강(Mammalia) 26
34.2%

Length

2023-12-12T23:39:11.154465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:11.275632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 50
65.8%
포유강(mammalia 26
34.2%

목
Categorical

Distinct10
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
참새목
33 
소목
16 
식육목
10 
파랑새목
5 
황새목
4 
Other values (5)
8 

Length

Max length4
Median length3
Mean length2.9078947
Min length2

Unique

Unique3 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
참새목 33
43.4%
소목 16
21.1%
식육목 10
 
13.2%
파랑새목 5
 
6.6%
황새목 4
 
5.3%
비둘기목 3
 
3.9%
닭목 2
 
2.6%
두견이목 1
 
1.3%
쏙독새목 1
 
1.3%
기러기목 1
 
1.3%

Length

2023-12-12T23:39:11.411760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:11.568979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
참새목 33
43.4%
소목 16
21.1%
식육목 10
 
13.2%
파랑새목 5
 
6.6%
황새목 4
 
5.3%
비둘기목 3
 
3.9%
닭목 2
 
2.6%
두견이목 1
 
1.3%
쏙독새목 1
 
1.3%
기러기목 1
 
1.3%

과
Categorical

Distinct18
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
솔딱새과
16 
사슴과
16 
까마귀과
8 
개과
8 
할미새과
5 
Other values (13)
23 

Length

Max length9
Median length4
Mean length3.5526316
Min length2

Unique

Unique7 ?
Unique (%)9.2%

Sample

1st row비둘기과
2nd row되새과
3rd row박새과
4th row솔딱새과
5th row솔딱새과

Common Values

ValueCountFrequency (%)
솔딱새과 16
21.1%
사슴과 16
21.1%
까마귀과 8
10.5%
개과 8
10.5%
할미새과 5
 
6.6%
왜가리과 4
 
5.3%
비둘기과 3
 
3.9%
물총새과 3
 
3.9%
파랑새과 2
 
2.6%
꿩과 2
 
2.6%
Other values (8) 9
11.8%

Length

2023-12-12T23:39:11.732420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
솔딱새과 16
21.1%
사슴과 16
21.1%
까마귀과 8
10.5%
개과 8
10.5%
할미새과 5
 
6.6%
왜가리과 4
 
5.3%
비둘기과 3
 
3.9%
물총새과 3
 
3.9%
족제비과 2
 
2.6%
꿩과 2
 
2.6%
Other values (8) 9
11.8%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
해당없음
76 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 76
100.0%

Length

2023-12-12T23:39:11.856873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:11.979301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 76
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
해당없음
76 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 76
100.0%

Length

2023-12-12T23:39:12.109022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:12.218956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 76
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
해당없음
76 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 76
100.0%

Length

2023-12-12T23:39:12.335220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:12.433065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 76
100.0%

구조일시
Date

Distinct53
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2019-03-06 00:00:00
Maximum2022-10-25 00:00:00
2023-12-12T23:39:12.559593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:12.733815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct53
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
Minimum2019-03-18 00:00:00
Maximum2022-10-25 00:00:00
2023-12-12T23:39:12.893963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:13.038171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
방생
31 
안락사
15 
폐사체
14 
DOA
9 
폐사
7 

Length

Max length3
Median length2.5
Mean length2.5
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 31
40.8%
안락사 15
19.7%
폐사체 14
18.4%
DOA 9
 
11.8%
폐사 7
 
9.2%

Length

2023-12-12T23:39:13.166043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:13.289790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 31
40.8%
안락사 15
19.7%
폐사체 14
18.4%
doa 9
 
11.8%
폐사 7
 
9.2%

이첩 방생 위치
Text

MISSING 

Distinct18
Distinct (%)58.1%
Missing45
Missing (%)59.2%
Memory size740.0 B
2023-12-12T23:39:13.494476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length18.322581
Min length8

Characters and Unicode

Total characters568
Distinct characters61
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

Unique13 ?
Unique (%)41.9%

Sample

1st row충청남도 예산군
2nd row충청남도 금산군 추부면 요광리 952-1
3rd row충청남도 금산군 추부면 요광리 952-1
4th row충청남도 금산군 추부면 요광리 952-1
5th row충청남도 금산군
ValueCountFrequency (%)
충청남도 22
14.9%
금산군 14
 
9.5%
예산군 12
 
8.1%
충남 8
 
5.4%
예산읍 7
 
4.7%
대회리 7
 
4.7%
1 7
 
4.7%
진산면 6
 
4.1%
지방리 6
 
4.1%
108 6
 
4.1%
Other values (37) 53
35.8%
2023-12-12T23:39:13.932732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
20.6%
산 51
 
9.0%
남 31
 
5.5%
충 30
 
5.3%
군 28
 
4.9%
리 28
 
4.9%
1 26
 
4.6%
도 22
 
3.9%
청 22
 
3.9%
면 21
 
3.7%
Other values (51) 192
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 367
64.6%
Space Separator 117
 
20.6%
Decimal Number 72
 
12.7%
Dash Punctuation 12
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 51
13.9%
남 31
 
8.4%
충 30
 
8.2%
군 28
 
7.6%
리 28
 
7.6%
도 22
 
6.0%
청 22
 
6.0%
면 21
 
5.7%
예 19
 
5.2%
금 15
 
4.1%
Other values (39) 100
27.2%
Decimal Number
ValueCountFrequency (%)
1 26
36.1%
8 9
 
12.5%
0 8
 
11.1%
2 8
 
11.1%
3 7
 
9.7%
4 6
 
8.3%
5 3
 
4.2%
9 3
 
4.2%
6 1
 
1.4%
7 1
 
1.4%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 367
64.6%
Common 201
35.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 51
13.9%
남 31
 
8.4%
충 30
 
8.2%
군 28
 
7.6%
리 28
 
7.6%
도 22
 
6.0%
청 22
 
6.0%
면 21
 
5.7%
예 19
 
5.2%
금 15
 
4.1%
Other values (39) 100
27.2%
Common
ValueCountFrequency (%)
117
58.2%
1 26
 
12.9%
- 12
 
6.0%
8 9
 
4.5%
0 8
 
4.0%
2 8
 
4.0%
3 7
 
3.5%
4 6
 
3.0%
5 3
 
1.5%
9 3
 
1.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 367
64.6%
ASCII 201
35.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
58.2%
1 26
 
12.9%
- 12
 
6.0%
8 9
 
4.5%
0 8
 
4.0%
2 8
 
4.0%
3 7
 
3.5%
4 6
 
3.0%
5 3
 
1.5%
9 3
 
1.5%
Other values (2) 2
 
1.0%
Hangul
ValueCountFrequency (%)
산 51
13.9%
남 31
 
8.4%
충 30
 
8.2%
군 28
 
7.6%
리 28
 
7.6%
도 22
 
6.0%
청 22
 
6.0%
면 21
 
5.7%
예 19
 
5.2%
금 15
 
4.1%
Other values (39) 100
27.2%

사체처리
Categorical

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
기타
41 
<NA>
31 
폐기
 
2
박제(서산버드랜드)
 
1
냉동(구냉동창고)(성체고라니, 개선충너구리)
 
1

Length

Max length24
Median length2
Mean length3.2105263
Min length2

Unique

Unique2 ?
Unique (%)2.6%

Sample

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

Common Values

ValueCountFrequency (%)
기타 41
53.9%
<NA> 31
40.8%
폐기 2
 
2.6%
박제(서산버드랜드) 1
 
1.3%
냉동(구냉동창고)(성체고라니, 개선충너구리) 1
 
1.3%

Length

2023-12-12T23:39:14.103471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:14.243495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 41
53.2%
na 31
40.3%
폐기 2
 
2.6%
박제(서산버드랜드 1
 
1.3%
냉동(구냉동창고)(성체고라니 1
 
1.3%
개선충너구리 1
 
1.3%

동물성별
Categorical

Distinct3
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size740.0 B
Unknown
55 
Female
15 
Male
6 

Length

Max length7
Median length7
Mean length6.5657895
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 55
72.4%
Female 15
 
19.7%
Male 6
 
7.9%

Length

2023-12-12T23:39:14.397303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:14.525133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 55
72.4%
female 15
 
19.7%
male 6
 
7.9%

동물연령
Categorical

Distinct13
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
Nestling
26 
0년0월0일
15 
Juvenile
10 
Unknown
8 
Adult
6 
Other values (8)
11 

Length

Max length8
Median length7
Mean length7.0131579
Min length5

Unique

Unique5 ?
Unique (%)6.6%

Sample

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

Common Values

ValueCountFrequency (%)
Nestling 26
34.2%
0년0월0일 15
19.7%
Juvenile 10
 
13.2%
Unknown 8
 
10.5%
Adult 6
 
7.9%
0년11월0일 2
 
2.6%
0년2월0일 2
 
2.6%
0년3월0일 2
 
2.6%
0년7월0일 1
 
1.3%
1년0월0일 1
 
1.3%
Other values (3) 3
 
3.9%

Length

2023-12-12T23:39:14.667008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nestling 26
34.2%
0년0월0일 15
19.7%
juvenile 10
 
13.2%
unknown 8
 
10.5%
adult 6
 
7.9%
0년11월0일 2
 
2.6%
0년2월0일 2
 
2.6%
0년3월0일 2
 
2.6%
0년7월0일 1
 
1.3%
1년0월0일 1
 
1.3%
Other values (3) 3
 
3.9%

구조위도
Text

MISSING 

Distinct47
Distinct (%)69.1%
Missing8
Missing (%)10.5%
Memory size740.0 B
2023-12-12T23:39:14.923146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8088235
Min length6

Characters and Unicode

Total characters599
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

Unique39 ?
Unique (%)57.4%

Sample

1st row36.206139
2nd row36.200111
3rd row36.200111
4th row36.200111
5th row36.200111
ValueCountFrequency (%)
36.18175 7
 
10.3%
36.07.141 5
 
7.4%
36.090944 4
 
5.9%
36.200111 4
 
5.9%
36.213028 3
 
4.4%
36.171056 2
 
2.9%
36.14.161 2
 
2.9%
36.108694 2
 
2.9%
36.45.036 1
 
1.5%
36.152583 1
 
1.5%
Other values (37) 37
54.4%
2023-12-12T23:39:15.363650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 94
15.7%
1 92
15.4%
3 91
15.2%
. 83
13.9%
0 52
8.7%
2 40
6.7%
8 35
 
5.8%
4 33
 
5.5%
7 31
 
5.2%
5 24
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 516
86.1%
Other Punctuation 83
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 94
18.2%
1 92
17.8%
3 91
17.6%
0 52
10.1%
2 40
7.8%
8 35
 
6.8%
4 33
 
6.4%
7 31
 
6.0%
5 24
 
4.7%
9 24
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 599
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 94
15.7%
1 92
15.4%
3 91
15.2%
. 83
13.9%
0 52
8.7%
2 40
6.7%
8 35
 
5.8%
4 33
 
5.5%
7 31
 
5.2%
5 24
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 599
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 94
15.7%
1 92
15.4%
3 91
15.2%
. 83
13.9%
0 52
8.7%
2 40
6.7%
8 35
 
5.8%
4 33
 
5.5%
7 31
 
5.2%
5 24
 
4.0%

구조경도
Text

MISSING 

Distinct48
Distinct (%)70.6%
Missing8
Missing (%)10.5%
Memory size740.0 B
2023-12-12T23:39:15.605840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9264706
Min length8

Characters and Unicode

Total characters675
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)58.8%

Sample

1st row127.571722
2nd row127.358722
3rd row127.358722
4th row127.358722
5th row127.358722
ValueCountFrequency (%)
127.357028 6
 
8.8%
127.28.514 5
 
7.4%
127.520639 4
 
5.9%
127.358722 4
 
5.9%
127.491333 3
 
4.4%
127.441028 2
 
2.9%
127.31.470 2
 
2.9%
127.487639 2
 
2.9%
127.326306 1
 
1.5%
127.30.204 1
 
1.5%
Other values (38) 38
55.9%
2023-12-12T23:39:15.992206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 119
17.6%
7 103
15.3%
1 99
14.7%
. 83
12.3%
3 57
8.4%
4 50
7.4%
5 48
7.1%
8 32
 
4.7%
0 30
 
4.4%
9 28
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 592
87.7%
Other Punctuation 83
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 119
20.1%
7 103
17.4%
1 99
16.7%
3 57
9.6%
4 50
8.4%
5 48
8.1%
8 32
 
5.4%
0 30
 
5.1%
9 28
 
4.7%
6 26
 
4.4%
Other Punctuation
ValueCountFrequency (%)
. 83
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 675
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 119
17.6%
7 103
15.3%
1 99
14.7%
. 83
12.3%
3 57
8.4%
4 50
7.4%
5 48
7.1%
8 32
 
4.7%
0 30
 
4.4%
9 28
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 119
17.6%
7 103
15.3%
1 99
14.7%
. 83
12.3%
3 57
8.4%
4 50
7.4%
5 48
7.1%
8 32
 
4.7%
0 30
 
4.4%
9 28
 
4.1%

구조고도
Real number (ℝ)

MISSING  ZEROS 

Distinct41
Distinct (%)60.3%
Missing8
Missing (%)10.5%
Infinite0
Infinite (%)0.0%
Mean177.25
Minimum0
Maximum346
Zeros1
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-12T23:39:16.141384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile137
Q1159
median169.5
Q3188.25
95-th percentile257.3
Maximum346
Range346
Interquartile range (IQR)29.25

Descriptive statistics

Standard deviation47.13853
Coefficient of variation (CV)0.26594375
Kurtosis5.2851351
Mean177.25
Median Absolute Deviation (MAD)12
Skewness0.099868153
Sum12053
Variance2222.041
MonotonicityNot monotonic
2023-12-12T23:39:16.315261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
159 9
 
11.8%
166 6
 
7.9%
174 4
 
5.3%
137 4
 
5.3%
226 3
 
3.9%
161 2
 
2.6%
204 2
 
2.6%
171 2
 
2.6%
170 2
 
2.6%
178 2
 
2.6%
Other values (31) 32
42.1%
(Missing) 8
 
10.5%
ValueCountFrequency (%)
0 1
 
1.3%
42 1
 
1.3%
137 4
5.3%
144 1
 
1.3%
149 1
 
1.3%
150 1
 
1.3%
151 1
 
1.3%
152 1
 
1.3%
155 1
 
1.3%
158 1
 
1.3%
ValueCountFrequency (%)
346 1
 
1.3%
294 1
 
1.3%
274 1
 
1.3%
258 1
 
1.3%
256 1
 
1.3%
244 1
 
1.3%
226 3
3.9%
224 1
 
1.3%
215 1
 
1.3%
206 1
 
1.3%

방생위도
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)60.0%
Missing56
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean36.417201
Minimum36.150587
Maximum36.855548
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-12T23:39:16.440680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.150587
5-th percentile36.171945
Q136.182274
median36.212925
Q336.668877
95-th percentile36.846051
Maximum36.855548
Range0.70496135
Interquartile range (IQR)0.48660335

Descriptive statistics

Standard deviation0.26806528
Coefficient of variation (CV)0.0073609522
Kurtosis-1.7614124
Mean36.417201
Median Absolute Deviation (MAD)0.051097155
Skewness0.3779943
Sum728.34403
Variance0.071858995
MonotonicityNot monotonic
2023-12-12T23:39:16.535612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
36.18227411 6
 
7.9%
36.21292512 3
 
3.9%
36.67008139 2
 
2.6%
36.68992275 1
 
1.3%
36.15058662 1
 
1.3%
36.60228676 1
 
1.3%
36.8455508 1
 
1.3%
36.62027762 1
 
1.3%
36.17306931 1
 
1.3%
36.6657283 1
 
1.3%
Other values (2) 2
 
2.6%
(Missing) 56
73.7%
ValueCountFrequency (%)
36.15058662 1
 
1.3%
36.17306931 1
 
1.3%
36.18227411 6
7.9%
36.21292512 3
3.9%
36.60228676 1
 
1.3%
36.62027762 1
 
1.3%
36.6657283 1
 
1.3%
36.66847615 1
 
1.3%
36.67008139 2
 
2.6%
36.68992275 1
 
1.3%
ValueCountFrequency (%)
36.85554797 1
 
1.3%
36.8455508 1
 
1.3%
36.68992275 1
 
1.3%
36.67008139 2
 
2.6%
36.66847615 1
 
1.3%
36.6657283 1
 
1.3%
36.62027762 1
 
1.3%
36.60228676 1
 
1.3%
36.21292512 3
3.9%
36.18227411 6
7.9%

방생경도
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)60.0%
Missing56
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean127.16834
Minimum126.73829
Maximum127.49118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-12T23:39:16.631769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.73829
5-th percentile126.83177
Q1126.86555
median127.35734
Q3127.37781
95-th percentile127.49118
Maximum127.49118
Range0.7528997
Interquartile range (IQR)0.51226043

Descriptive statistics

Standard deviation0.2823486
Coefficient of variation (CV)0.0022202743
Kurtosis-1.8944905
Mean127.16834
Median Absolute Deviation (MAD)0.1338456
Skewness-0.22405292
Sum2543.3668
Variance0.079720732
MonotonicityNot monotonic
2023-12-12T23:39:16.744458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
127.3573393 6
 
7.9%
127.4911849 3
 
3.9%
126.8596661 2
 
2.6%
126.9510594 1
 
1.3%
127.4564843 1
 
1.3%
126.8735704 1
 
1.3%
126.7382852 1
 
1.3%
126.8366882 1
 
1.3%
127.4392382 1
 
1.3%
126.8597498 1
 
1.3%
Other values (2) 2
 
2.6%
(Missing) 56
73.7%
ValueCountFrequency (%)
126.7382852 1
 
1.3%
126.8366882 1
 
1.3%
126.8596661 2
 
2.6%
126.8597498 1
 
1.3%
126.8674882 1
 
1.3%
126.8735704 1
 
1.3%
126.9510594 1
 
1.3%
127.0073085 1
 
1.3%
127.3573393 6
7.9%
127.4392382 1
 
1.3%
ValueCountFrequency (%)
127.4911849 3
3.9%
127.4564843 1
 
1.3%
127.4392382 1
 
1.3%
127.3573393 6
7.9%
127.0073085 1
 
1.3%
126.9510594 1
 
1.3%
126.8735704 1
 
1.3%
126.8674882 1
 
1.3%
126.8597498 1
 
1.3%
126.8596661 2
 
2.6%

발견장소상세
Text

MISSING 

Distinct41
Distinct (%)66.1%
Missing14
Missing (%)18.4%
Memory size740.0 B
2023-12-12T23:39:16.970150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length17
Mean length10.080645
Min length1

Characters and Unicode

Total characters625
Distinct characters121
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

Unique34 ?
Unique (%)54.8%

Sample

1st row상곡초등학교
2nd row(실학로 463) 레미콘 공장
3rd row(실학로 463) 레미콘 공장
4th row(실학로 463) 레미콘 공장
5th row(실학로 463) 레미콘 공장
ValueCountFrequency (%)
내 11
 
5.9%
주소지 10
 
5.3%
주택 8
 
4.3%
건물 7
 
3.7%
앞 7
 
3.7%
부근 7
 
3.7%
조경 6
 
3.2%
내부 6
 
3.2%
공사중인 5
 
2.7%
목조 5
 
2.7%
Other values (61) 116
61.7%
2023-12-12T23:39:17.392803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
135
21.6%
주 26
 
4.2%
조 20
 
3.2%
지 20
 
3.2%
부 20
 
3.2%
인 18
 
2.9%
소 18
 
2.9%
공 18
 
2.9%
내 17
 
2.7%
로 16
 
2.6%
Other values (111) 317
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 455
72.8%
Space Separator 135
 
21.6%
Decimal Number 18
 
2.9%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 26
 
5.7%
조 20
 
4.4%
지 20
 
4.4%
부 20
 
4.4%
인 18
 
4.0%
소 18
 
4.0%
공 18
 
4.0%
내 17
 
3.7%
로 16
 
3.5%
물 12
 
2.6%
Other values (102) 270
59.3%
Decimal Number
ValueCountFrequency (%)
3 4
22.2%
6 4
22.2%
4 4
22.2%
8 3
16.7%
9 3
16.7%
Space Separator
ValueCountFrequency (%)
135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 455
72.8%
Common 170
 
27.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 26
 
5.7%
조 20
 
4.4%
지 20
 
4.4%
부 20
 
4.4%
인 18
 
4.0%
소 18
 
4.0%
공 18
 
4.0%
내 17
 
3.7%
로 16
 
3.5%
물 12
 
2.6%
Other values (102) 270
59.3%
Common
ValueCountFrequency (%)
135
79.4%
) 7
 
4.1%
( 7
 
4.1%
3 4
 
2.4%
6 4
 
2.4%
4 4
 
2.4%
8 3
 
1.8%
9 3
 
1.8%
- 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 455
72.8%
ASCII 170
 
27.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
135
79.4%
) 7
 
4.1%
( 7
 
4.1%
3 4
 
2.4%
6 4
 
2.4%
4 4
 
2.4%
8 3
 
1.8%
9 3
 
1.8%
- 3
 
1.8%
Hangul
ValueCountFrequency (%)
주 26
 
5.7%
조 20
 
4.4%
지 20
 
4.4%
부 20
 
4.4%
인 18
 
4.0%
소 18
 
4.0%
공 18
 
4.0%
내 17
 
3.7%
로 16
 
3.5%
물 12
 
2.6%
Other values (102) 270
59.3%

발견주소
Text

Distinct49
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T23:39:17.639127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length19.289474
Min length8

Characters and Unicode

Total characters1466
Distinct characters80
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

Unique40 ?
Unique (%)52.6%

Sample

1st row충청남도 금산군 군북면 상곡리 159
2nd row충청남도 금산군
3rd row충청남도 금산군
4th row충청남도 금산군
5th row충청남도 금산군
ValueCountFrequency (%)
금산군 75
21.0%
충청남도 61
17.1%
충남 15
 
4.2%
진산면 15
 
4.2%
추부면 13
 
3.6%
금성면 10
 
2.8%
금산읍 9
 
2.5%
지방리 7
 
2.0%
108 6
 
1.7%
부리면 6
 
1.7%
Other values (89) 140
39.2%
2023-12-12T23:39:18.603364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
281
19.2%
산 103
 
7.0%
금 96
 
6.5%
남 82
 
5.6%
군 79
 
5.4%
충 76
 
5.2%
리 67
 
4.6%
도 63
 
4.3%
청 62
 
4.2%
면 59
 
4.0%
Other values (70) 498
34.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 909
62.0%
Space Separator 281
 
19.2%
Decimal Number 237
 
16.2%
Dash Punctuation 39
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 103
11.3%
금 96
10.6%
남 82
9.0%
군 79
 
8.7%
충 76
 
8.4%
리 67
 
7.4%
도 63
 
6.9%
청 62
 
6.8%
면 59
 
6.5%
부 19
 
2.1%
Other values (58) 203
22.3%
Decimal Number
ValueCountFrequency (%)
1 39
16.5%
2 36
15.2%
3 29
12.2%
4 29
12.2%
8 26
11.0%
5 21
8.9%
0 18
7.6%
9 17
7.2%
6 12
 
5.1%
7 10
 
4.2%
Space Separator
ValueCountFrequency (%)
281
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 909
62.0%
Common 557
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 103
11.3%
금 96
10.6%
남 82
9.0%
군 79
 
8.7%
충 76
 
8.4%
리 67
 
7.4%
도 63
 
6.9%
청 62
 
6.8%
면 59
 
6.5%
부 19
 
2.1%
Other values (58) 203
22.3%
Common
ValueCountFrequency (%)
281
50.4%
1 39
 
7.0%
- 39
 
7.0%
2 36
 
6.5%
3 29
 
5.2%
4 29
 
5.2%
8 26
 
4.7%
5 21
 
3.8%
0 18
 
3.2%
9 17
 
3.1%
Other values (2) 22
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 909
62.0%
ASCII 557
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
281
50.4%
1 39
 
7.0%
- 39
 
7.0%
2 36
 
6.5%
3 29
 
5.2%
4 29
 
5.2%
8 26
 
4.7%
5 21
 
3.8%
0 18
 
3.2%
9 17
 
3.1%
Other values (2) 22
 
3.9%
Hangul
ValueCountFrequency (%)
산 103
11.3%
금 96
10.6%
남 82
9.0%
군 79
 
8.7%
충 76
 
8.4%
리 67
 
7.4%
도 63
 
6.9%
청 62
 
6.8%
면 59
 
6.5%
부 19
 
2.1%
Other values (58) 203
22.3%

발견장소특징
Categorical

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
건물옆
43 
기타
13 
도로변
11 
농경지
6 
숲
 
3

Length

Max length3
Median length3
Mean length2.75
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 43
56.6%
기타 13
 
17.1%
도로변 11
 
14.5%
농경지 6
 
7.9%
숲 3
 
3.9%

Length

2023-12-12T23:39:18.809280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:18.976483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 43
56.6%
기타 13
 
17.1%
도로변 11
 
14.5%
농경지 6
 
7.9%
숲 3
 
3.9%

발생원인
Categorical

Distinct13
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size740.0 B
어미를 잃음(미아)
24 
전선/건물과의 충돌
15 
차량과의 충돌
9 
기생충 중감염
7 
기타
6 
Other values (8)
15 

Length

Max length11
Median length10
Mean length8.1578947
Min length1

Unique

Unique4 ?
Unique (%)5.3%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 24
31.6%
전선/건물과의 충돌 15
19.7%
차량과의 충돌 9
 
11.8%
기생충 중감염 7
 
9.2%
기타 6
 
7.9%
부적절한 사육 4
 
5.3%
인공구조물에 얽힘 3
 
3.9%
추락 2
 
2.6%
인공구조물 침입·고립 2
 
2.6%
덫 1
 
1.3%
Other values (3) 3
 
3.9%

Length

2023-12-12T23:39:19.124361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어미를 24
16.7%
잃음(미아 24
16.7%
충돌 24
16.7%
전선/건물과의 15
10.4%
차량과의 9
 
6.2%
기생충 7
 
4.9%
중감염 7
 
4.9%
기타 6
 
4.2%
부적절한 4
 
2.8%
사육 4
 
2.8%
Other values (13) 20
13.9%

발생원인 세부사항
Text

Distinct38
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T23:39:19.449102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length28
Mean length12.486842
Min length2

Characters and Unicode

Total characters949
Distinct characters140
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

Unique26 ?
Unique (%)34.2%

Sample

1st row유리창 충돌
2nd row이소 과정에서 낙오된 개체 도로변에서 구조됨
3rd row컨테이너 박스 내에 들어간 후 창문에 2~3회 충돌
4th row인위적인 둥지 이동에 의해 어미를 잃음
5th row인위적인 둥지 이동에 의해 어미를 잃음
ValueCountFrequency (%)
충돌 24
 
9.6%
어미를 15
 
6.0%
둥지 13
 
5.2%
추정 9
 
3.6%
잃음(미아 8
 
3.2%
차량과의 7
 
2.8%
인위적인 7
 
2.8%
이동에 7
 
2.8%
의해 7
 
2.8%
잃음 7
 
2.8%
Other values (92) 146
58.4%
2023-12-12T23:39:19.973725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
184
 
19.4%
충 39
 
4.1%
돌 28
 
3.0%
에 27
 
2.8%
의 25
 
2.6%
미 24
 
2.5%
이 22
 
2.3%
인 18
 
1.9%
어 17
 
1.8%
음 16
 
1.7%
Other values (130) 549
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 727
76.6%
Space Separator 184
 
19.4%
Close Punctuation 12
 
1.3%
Open Punctuation 12
 
1.3%
Other Punctuation 11
 
1.2%
Decimal Number 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 39
 
5.4%
돌 28
 
3.9%
에 27
 
3.7%
의 25
 
3.4%
미 24
 
3.3%
이 22
 
3.0%
인 18
 
2.5%
어 17
 
2.3%
음 16
 
2.2%
정 16
 
2.2%
Other values (122) 495
68.1%
Other Punctuation
ValueCountFrequency (%)
/ 9
81.8%
, 2
 
18.2%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
184
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 727
76.6%
Common 222
 
23.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 39
 
5.4%
돌 28
 
3.9%
에 27
 
3.7%
의 25
 
3.4%
미 24
 
3.3%
이 22
 
3.0%
인 18
 
2.5%
어 17
 
2.3%
음 16
 
2.2%
정 16
 
2.2%
Other values (122) 495
68.1%
Common
ValueCountFrequency (%)
184
82.9%
) 12
 
5.4%
( 12
 
5.4%
/ 9
 
4.1%
, 2
 
0.9%
~ 1
 
0.5%
3 1
 
0.5%
2 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 727
76.6%
ASCII 222
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
184
82.9%
) 12
 
5.4%
( 12
 
5.4%
/ 9
 
4.1%
, 2
 
0.9%
~ 1
 
0.5%
3 1
 
0.5%
2 1
 
0.5%
Hangul
ValueCountFrequency (%)
충 39
 
5.4%
돌 28
 
3.9%
에 27
 
3.7%
의 25
 
3.4%
미 24
 
3.3%
이 22
 
3.0%
인 18
 
2.5%
어 17
 
2.3%
음 16
 
2.2%
정 16
 
2.2%
Other values (122) 495
68.1%

TM구조위도
Text

MISSING 

Distinct37
Distinct (%)69.8%
Missing23
Missing (%)30.3%
Memory size740.0 B
2023-12-12T23:39:20.221187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters530
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

Unique31 ?
Unique (%)58.5%

Sample

1st row36 12 22.1
2nd row36 12 00.4
3rd row36 12 00.4
4th row36 12 00.4
5th row36 12 00.4
ValueCountFrequency (%)
36 53
33.3%
10 15
 
9.4%
12 9
 
5.7%
06 8
 
5.0%
54.3 7
 
4.4%
05 5
 
3.1%
13 4
 
2.5%
09 4
 
2.5%
27.4 4
 
2.5%
00.4 4
 
2.5%
Other values (39) 46
28.9%
2023-12-12T23:39:20.555395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
106
20.0%
3 81
15.3%
6 69
13.0%
0 58
10.9%
. 53
10.0%
1 44
8.3%
4 27
 
5.1%
2 27
 
5.1%
5 25
 
4.7%
7 15
 
2.8%
Other values (2) 25
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 371
70.0%
Space Separator 106
 
20.0%
Other Punctuation 53
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 81
21.8%
6 69
18.6%
0 58
15.6%
1 44
11.9%
4 27
 
7.3%
2 27
 
7.3%
5 25
 
6.7%
7 15
 
4.0%
9 14
 
3.8%
8 11
 
3.0%
Space Separator
ValueCountFrequency (%)
106
100.0%
Other Punctuation
ValueCountFrequency (%)
. 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
106
20.0%
3 81
15.3%
6 69
13.0%
0 58
10.9%
. 53
10.0%
1 44
8.3%
4 27
 
5.1%
2 27
 
5.1%
5 25
 
4.7%
7 15
 
2.8%
Other values (2) 25
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
106
20.0%
3 81
15.3%
6 69
13.0%
0 58
10.9%
. 53
10.0%
1 44
8.3%
4 27
 
5.1%
2 27
 
5.1%
5 25
 
4.7%
7 15
 
2.8%
Other values (2) 25
 
4.7%

TM구조경도
Text

MISSING 

Distinct38
Distinct (%)71.7%
Missing23
Missing (%)30.3%
Memory size740.0 B
2023-12-12T23:39:20.778352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters583
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

Unique32 ?
Unique (%)60.4%

Sample

1st row127 34 18.2
2nd row127 21 31.4
3rd row127 21 31.4
4th row127 21 31.4
5th row127 21 31.4
ValueCountFrequency (%)
127 53
33.3%
21 12
 
7.5%
31 9
 
5.7%
29 9
 
5.7%
25.3 6
 
3.8%
30 5
 
3.1%
26 5
 
3.1%
14.3 4
 
2.5%
31.4 4
 
2.5%
28.8 3
 
1.9%
Other values (42) 49
30.8%
2023-12-12T23:39:21.138475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 110
18.9%
106
18.2%
1 103
17.7%
7 70
12.0%
. 53
9.1%
3 39
 
6.7%
4 28
 
4.8%
5 19
 
3.3%
9 16
 
2.7%
8 14
 
2.4%
Other values (2) 25
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 424
72.7%
Space Separator 106
 
18.2%
Other Punctuation 53
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 110
25.9%
1 103
24.3%
7 70
16.5%
3 39
 
9.2%
4 28
 
6.6%
5 19
 
4.5%
9 16
 
3.8%
8 14
 
3.3%
0 14
 
3.3%
6 11
 
2.6%
Space Separator
ValueCountFrequency (%)
106
100.0%
Other Punctuation
ValueCountFrequency (%)
. 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 583
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 110
18.9%
106
18.2%
1 103
17.7%
7 70
12.0%
. 53
9.1%
3 39
 
6.7%
4 28
 
4.8%
5 19
 
3.3%
9 16
 
2.7%
8 14
 
2.4%
Other values (2) 25
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 583
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 110
18.9%
106
18.2%
1 103
17.7%
7 70
12.0%
. 53
9.1%
3 39
 
6.7%
4 28
 
4.8%
5 19
 
3.3%
9 16
 
2.7%
8 14
 
2.4%
Other values (2) 25
 
4.3%

TM방생위도
Text

MISSING 

Distinct13
Distinct (%)65.0%
Missing56
Missing (%)73.7%
Memory size740.0 B
2023-12-12T23:39:21.309838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters200
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

Unique11 ?
Unique (%)55.0%

Sample

1st row36 12 46.9
2nd row36 12 46.9
3rd row36 12 46.9
4th row36 41 23.0
5th row36 09 02.4
ValueCountFrequency (%)
36 21
35.0%
10 7
 
11.7%
54.3 6
 
10.0%
40 3
 
5.0%
12 3
 
5.0%
46.9 3
 
5.0%
23.0 2
 
3.3%
51 1
 
1.7%
06.8 1
 
1.7%
13.2 1
 
1.7%
Other values (12) 12
20.0%
2023-12-12T23:39:21.620952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40
20.0%
3 34
17.0%
6 27
13.5%
. 20
10.0%
0 17
8.5%
1 16
 
8.0%
4 16
 
8.0%
5 10
 
5.0%
2 8
 
4.0%
9 6
 
3.0%
Other values (2) 6
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 140
70.0%
Space Separator 40
 
20.0%
Other Punctuation 20
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 34
24.3%
6 27
19.3%
0 17
12.1%
1 16
11.4%
4 16
11.4%
5 10
 
7.1%
2 8
 
5.7%
9 6
 
4.3%
8 4
 
2.9%
7 2
 
1.4%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
40
20.0%
3 34
17.0%
6 27
13.5%
. 20
10.0%
0 17
8.5%
1 16
 
8.0%
4 16
 
8.0%
5 10
 
5.0%
2 8
 
4.0%
9 6
 
3.0%
Other values (2) 6
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40
20.0%
3 34
17.0%
6 27
13.5%
. 20
10.0%
0 17
8.5%
1 16
 
8.0%
4 16
 
8.0%
5 10
 
5.0%
2 8
 
4.0%
9 6
 
3.0%
Other values (2) 6
 
3.0%

TM방생경도
Text

MISSING 

Distinct13
Distinct (%)65.0%
Missing56
Missing (%)73.7%
Memory size740.0 B
2023-12-12T23:39:21.822609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters220
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

Unique11 ?
Unique (%)55.0%

Sample

1st row127 29 28.8
2nd row127 29 28.8
3rd row127 29 28.8
4th row126 57 12.7
5th row127 27 24.8
ValueCountFrequency (%)
127 12
20.0%
126 8
13.3%
25.3 6
 
10.0%
21 6
 
10.0%
51 3
 
5.0%
29 3
 
5.0%
28.8 3
 
5.0%
52 2
 
3.3%
00 1
 
1.7%
03.3 1
 
1.7%
Other values (15) 15
25.0%
2023-12-12T23:39:22.176144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 48
21.8%
40
18.2%
1 35
15.9%
. 20
9.1%
7 16
 
7.3%
5 14
 
6.4%
3 11
 
5.0%
8 10
 
4.5%
6 10
 
4.5%
0 7
 
3.2%
Other values (2) 9
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
72.7%
Space Separator 40
 
18.2%
Other Punctuation 20
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 48
30.0%
1 35
21.9%
7 16
 
10.0%
5 14
 
8.8%
3 11
 
6.9%
8 10
 
6.2%
6 10
 
6.2%
0 7
 
4.4%
4 5
 
3.1%
9 4
 
2.5%
Space Separator
ValueCountFrequency (%)
40
100.0%
Other Punctuation
ValueCountFrequency (%)
. 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 48
21.8%
40
18.2%
1 35
15.9%
. 20
9.1%
7 16
 
7.3%
5 14
 
6.4%
3 11
 
5.0%
8 10
 
4.5%
6 10
 
4.5%
0 7
 
3.2%
Other values (2) 9
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 48
21.8%
40
18.2%
1 35
15.9%
. 20
9.1%
7 16
 
7.3%
5 14
 
6.4%
3 11
 
5.0%
8 10
 
4.5%
6 10
 
4.5%
0 7
 
3.2%
Other values (2) 9
 
4.1%

등록체중
Text

Distinct49
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T23:39:22.373900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.6710526
Min length1

Characters and Unicode

Total characters203
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)56.6%

Sample

1st row240
2nd row14
3rd row15
4th row3
5th row3
ValueCountFrequency (%)
0 17
22.4%
3 7
 
9.2%
15 3
 
3.9%
74 2
 
2.6%
14 2
 
2.6%
4100 2
 
2.6%
4580 1
 
1.3%
1,170 1
 
1.3%
240 1
 
1.3%
9.96 1
 
1.3%
Other values (39) 39
51.3%
2023-12-12T23:39:22.771402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 46
22.7%
1 36
17.7%
4 24
11.8%
3 19
9.4%
2 15
 
7.4%
6 14
 
6.9%
5 12
 
5.9%
8 10
 
4.9%
9 8
 
3.9%
. 7
 
3.4%
Other values (2) 12
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 190
93.6%
Other Punctuation 13
 
6.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 46
24.2%
1 36
18.9%
4 24
12.6%
3 19
10.0%
2 15
 
7.9%
6 14
 
7.4%
5 12
 
6.3%
8 10
 
5.3%
9 8
 
4.2%
7 6
 
3.2%
Other Punctuation
ValueCountFrequency (%)
. 7
53.8%
, 6
46.2%

Most occurring scripts

ValueCountFrequency (%)
Common 203
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 46
22.7%
1 36
17.7%
4 24
11.8%
3 19
9.4%
2 15
 
7.4%
6 14
 
6.9%
5 12
 
5.9%
8 10
 
4.9%
9 8
 
3.9%
. 7
 
3.4%
Other values (2) 12
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 46
22.7%
1 36
17.7%
4 24
11.8%
3 19
9.4%
2 15
 
7.4%
6 14
 
6.9%
5 12
 
5.9%
8 10
 
4.9%
9 8
 
3.9%
. 7
 
3.4%
Other values (2) 12
 
5.9%

현재체중
Text

Distinct48
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T23:39:22.974443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.5657895
Min length1

Characters and Unicode

Total characters195
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)56.6%

Sample

1st row240
2nd row11
3rd row14
4th row3
5th row3
ValueCountFrequency (%)
0 17
22.4%
3 7
 
9.2%
4 5
 
6.6%
14 2
 
2.6%
4100 2
 
2.6%
14040 1
 
1.3%
812 1
 
1.3%
240 1
 
1.3%
13760 1
 
1.3%
15 1
 
1.3%
Other values (38) 38
50.0%
2023-12-12T23:39:23.340353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 49
25.1%
1 37
19.0%
4 25
12.8%
3 18
 
9.2%
6 14
 
7.2%
2 13
 
6.7%
8 11
 
5.6%
9 7
 
3.6%
5 7
 
3.6%
7 6
 
3.1%
Other values (2) 8
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 187
95.9%
Other Punctuation 8
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 49
26.2%
1 37
19.8%
4 25
13.4%
3 18
 
9.6%
6 14
 
7.5%
2 13
 
7.0%
8 11
 
5.9%
9 7
 
3.7%
5 7
 
3.7%
7 6
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 2
 
25.0%

Most occurring scripts

ValueCountFrequency (%)
Common 195
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 49
25.1%
1 37
19.0%
4 25
12.8%
3 18
 
9.2%
6 14
 
7.2%
2 13
 
6.7%
8 11
 
5.6%
9 7
 
3.6%
5 7
 
3.6%
7 6
 
3.1%
Other values (2) 8
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 195
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 49
25.1%
1 37
19.0%
4 25
12.8%
3 18
 
9.2%
6 14
 
7.2%
2 13
 
6.7%
8 11
 
5.6%
9 7
 
3.6%
5 7
 
3.6%
7 6
 
3.1%
Other values (2) 8
 
4.1%

임상적최종진단
Text

Distinct49
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T23:39:23.687811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length20
Mean length12.276316
Min length2

Characters and Unicode

Total characters933
Distinct characters141
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

Unique40 ?
Unique (%)52.6%

Sample

1st row유리창 충돌 개체
2nd row이소 중 둥지에서 추락하여 낙오된 개체
3rd row충돌에 의한 뇌진탕
4th row인위적인 둥지 이동에 의해 어미를 잃음
5th row인위적인 둥지 이동에 의해 어미를 잃음
ValueCountFrequency (%)
의한 19
 
6.9%
골절 14
 
5.1%
미아 13
 
4.7%
둥지 12
 
4.4%
충돌에 10
 
3.6%
및 10
 
3.6%
단순 9
 
3.3%
어미를 8
 
2.9%
잃음 7
 
2.6%
인위적인 7
 
2.6%
Other values (93) 165
60.2%
2023-12-12T23:39:24.156830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
207
22.2%
골 33
 
3.5%
의 29
 
3.1%
에 27
 
2.9%
한 27
 
2.9%
미 23
 
2.5%
절 22
 
2.4%
인 20
 
2.1%
충 20
 
2.1%
정 16
 
1.7%
Other values (131) 509
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 696
74.6%
Space Separator 207
 
22.2%
Other Punctuation 9
 
1.0%
Close Punctuation 7
 
0.8%
Open Punctuation 7
 
0.8%
Uppercase Letter 3
 
0.3%
Decimal Number 3
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 33
 
4.7%
의 29
 
4.2%
에 27
 
3.9%
한 27
 
3.9%
미 23
 
3.3%
절 22
 
3.2%
인 20
 
2.9%
충 20
 
2.9%
정 16
 
2.3%
아 16
 
2.3%
Other values (121) 463
66.5%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
. 1
 
11.1%
/ 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
207
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 696
74.6%
Common 233
 
25.0%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 33
 
4.7%
의 29
 
4.2%
에 27
 
3.9%
한 27
 
3.9%
미 23
 
3.3%
절 22
 
3.2%
인 20
 
2.9%
충 20
 
2.9%
정 16
 
2.3%
아 16
 
2.3%
Other values (121) 463
66.5%
Common
ValueCountFrequency (%)
207
88.8%
) 7
 
3.0%
, 7
 
3.0%
( 7
 
3.0%
3 2
 
0.9%
6 1
 
0.4%
. 1
 
0.4%
/ 1
 
0.4%
Latin
ValueCountFrequency (%)
L 3
75.0%
t 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 696
74.6%
ASCII 237
 
25.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
207
87.3%
) 7
 
3.0%
, 7
 
3.0%
( 7
 
3.0%
L 3
 
1.3%
3 2
 
0.8%
6 1
 
0.4%
t 1
 
0.4%
. 1
 
0.4%
/ 1
 
0.4%
Hangul
ValueCountFrequency (%)
골 33
 
4.7%
의 29
 
4.2%
에 27
 
3.9%
한 27
 
3.9%
미 23
 
3.3%
절 22
 
3.2%
인 20
 
2.9%
충 20
 
2.9%
정 16
 
2.3%
아 16
 
2.3%
Other values (121) 463
66.5%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-1714멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-12-112019-12-11폐사체<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
12019-0254방울새조강(Aves)참새목되새과해당없음해당없음해당없음2019-04-192019-04-21폐사<NA>기타FemaleNestling<NA><NA><NA><NA><NA><NA>충청남도 금산군도로변추락이소 과정에서 낙오된 개체 도로변에서 구조됨<NA><NA><NA><NA>1411이소 중 둥지에서 추락하여 낙오된 개체
22019-0121박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-03-062019-03-18방생충청남도 예산군<NA>FemaleAdult<NA><NA><NA><NA><NA><NA>충청남도 금산군건물옆전선/건물과의 충돌컨테이너 박스 내에 들어간 후 창문에 2~3회 충돌<NA><NA><NA><NA>1514충돌에 의한 뇌진탕
32019-0333딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<NA>기타UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 금산군기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음<NA><NA><NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
42019-0334딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<NA>기타UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 금산군기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음<NA><NA><NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
52019-0335딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<NA>기타UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 금산군기타어미를 잃음(미아)인위적인 둥지 이동에 의해 어미를 잃음<NA><NA><NA><NA>33인위적인 둥지 이동에 의해 어미를 잃음
62019-0336딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<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
72019-0337딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<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
82019-0338딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<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
92019-0339딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2019-05-022019-05-03폐사체<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
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
662022-1200딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2022-06-092022-06-15방생충남 예산군 예산읍 대회리 1<NA>UnknownNestling36.07.141127.28.514159<NA><NA>공사중인 목조 골조 내충남 금산군 금성면 음전2길 14-4건물옆어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>5.24단순 미아
672022-1201딱새조강(Aves)참새목솔딱새과해당없음해당없음해당없음2022-06-092022-06-15방생충남 예산군 예산읍 대회리 1<NA>UnknownNestling36.07.141127.28.514159<NA><NA>공사중인 목조 골조 내충남 금산군 금성면 음전2길 14-4건물옆어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>4.64단순 미아
682022-1542물총새조강(Aves)파랑새목물총새과해당없음해당없음해당없음2022-07-052022-07-06DOA<NA>기타UnknownAdult36.05.323127.30.204144<NA><NA>가정집 마당충남 금산군 금산읍 무금로 2256건물옆전선/건물과의 충돌유리 구조물 충돌<NA><NA><NA><NA>22.622.6유리창 충돌에 의한 중증의 뇌진탕
692022-1298왜가리조강(Aves)황새목왜가리과해당없음해당없음해당없음2022-06-162022-06-16안락사<NA>기타UnknownJuvenile36.06.319127.29.166171<NA><NA>정보 누락으로 인계지 설정충남 금산군 금산읍 군청길 13건물옆전선/건물과의 충돌전선과의 충돌<NA><NA><NA><NA>1,0321,032양쪽 경비골 개방골절 및 신경손상
702022-1474고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-06-292022-06-29안락사<NA>폐기Unknown0년1월0일36.09.444127.24.100152<NA><NA>주소지 인근 밭에서 발견충남 금산군 복수면 곡남리 81-2농경지차량과의 충돌차량과의 충돌<NA><NA><NA><NA>3,3803,380좌측 경비 골절, 우측 슬관절 외측 탈구
712022-2150고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-10-072022-10-07DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Female0년0월0일36.10.158127.26.277226<NA><NA>인계지 주소충남 금산군 추부면 용지리 430도로변인공구조물에 얽힘인공구조물에 얽힘/밭그물 추정<NA><NA><NA><NA>19,18019,180밭그물 얽힘에 의한 우측 전지 손상 및 탈진, 탈수
722022-2223고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-10-252022-10-25폐사체<NA>기타Unknown0년0월0일36.45.036126.53.04542<NA><NA>도로변충남 아산시 도고면 금산리 1-10도로변차량과의 충돌차량과의 충돌<NA><NA><NA><NA>00차량 충돌에 의한 폐사
732022-0504노루포유강(Mammalia)소목사슴과해당없음해당없음해당없음2022-04-252022-04-25방생충남 금산군 남이면 역평리 산 132<NA>Male0년0월0일36.03.381127.24.414258<NA><NA>인삼밭충남 금산군 남이면 역평리 343-1농경지인공구조물에 얽힘인공구조물에 얽힘<NA><NA><NA><NA>00밭그물 얽힘
742022-1806너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-08-012022-10-13방생충남 서천군 문산면 북산리 산43-1<NA>Female0년0월0일36.14.161127.31.470204<NA><NA>주소지 가택 마당충남 금산군 추부면 성당리 204-3건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>1,9344,150개선충 중감염된 미아
752022-1807너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-08-012022-10-13방생충남 서천군 문산면 북산리 산43-1<NA>Female0년3월0일36.14.161127.31.470204<NA><NA>주소지 가택 마당충남 금산군 추부면 성당리 204-3건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>1,6343,800개선충 중감염된 미아