Overview

Dataset statistics

Number of variables32
Number of observations231
Missing cells978
Missing cells (%)13.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory58.6 KiB
Average record size in memory259.6 B

Variable types

Text13
Categorical14
DateTime2
Numeric3

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 공주시 내에서 발생한 구조 건에 대한 자료임
URLhttps://www.data.go.kr/data/15109255/fileData.do

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
구조위도 has 23 (10.0%) missing valuesMissing
구조경도 has 23 (10.0%) missing valuesMissing
구조고도 has 23 (10.0%) missing valuesMissing
방생위도 has 172 (74.5%) missing valuesMissing
방생경도 has 172 (74.5%) missing valuesMissing
발견장소상세 has 50 (21.6%) missing valuesMissing
발생원인 세부사항 has 4 (1.7%) missing valuesMissing
TM구조위도 has 83 (35.9%) missing valuesMissing
TM구조경도 has 83 (35.9%) missing valuesMissing
TM방생위도 has 171 (74.0%) missing valuesMissing
TM방생경도 has 171 (74.0%) missing valuesMissing
임상적최종진단 has 3 (1.3%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 3 (1.3%) zerosZeros

Reproduction

Analysis started2023-12-12 06:39:48.065485
Analysis finished2023-12-12 06:39:49.055641
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct231
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T15:39:49.371157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters2079
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

Unique231 ?
Unique (%)100.0%

Sample

1st row2019-1108
2nd row2019-0904
3rd row2019-0910
4th row2019-1548
5th row2019-0530
ValueCountFrequency (%)
2019-1108 1
 
0.4%
2022-0385 1
 
0.4%
2021-0362 1
 
0.4%
2021-1169 1
 
0.4%
2021-1627 1
 
0.4%
2021-1834 1
 
0.4%
2021-1168 1
 
0.4%
2021-1620 1
 
0.4%
2021-1718 1
 
0.4%
2021-0034 1
 
0.4%
Other values (221) 221
95.7%
2023-12-12T15:39:49.993136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 566
27.2%
0 508
24.4%
1 237
11.4%
- 231
11.1%
9 103
 
5.0%
3 88
 
4.2%
5 75
 
3.6%
8 74
 
3.6%
6 72
 
3.5%
7 63
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1848
88.9%
Dash Punctuation 231
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 566
30.6%
0 508
27.5%
1 237
12.8%
9 103
 
5.6%
3 88
 
4.8%
5 75
 
4.1%
8 74
 
4.0%
6 72
 
3.9%
7 63
 
3.4%
4 62
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2079
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 566
27.2%
0 508
24.4%
1 237
11.4%
- 231
11.1%
9 103
 
5.0%
3 88
 
4.2%
5 75
 
3.6%
8 74
 
3.6%
6 72
 
3.5%
7 63
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2079
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 566
27.2%
0 508
24.4%
1 237
11.4%
- 231
11.1%
9 103
 
5.0%
3 88
 
4.2%
5 75
 
3.6%
8 74
 
3.6%
6 72
 
3.5%
7 63
 
3.0%

동물국문명
Categorical

Distinct34
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
고라니
67 
너구리
29 
멧비둘기
19 
물까치
14 
참새
14 
Other values (29)
88 

Length

Max length8
Median length3
Mean length3.2510823
Min length2

Unique

Unique12 ?
Unique (%)5.2%

Sample

1st row청딱다구리
2nd row멧비둘기
3rd row물까치
4th row큰부리까마귀
5th row박새

Common Values

ValueCountFrequency (%)
고라니 67
29.0%
너구리 29
12.6%
멧비둘기 19
 
8.2%
물까치 14
 
6.1%
참새 14
 
6.1%
귀제비 12
 
5.2%
흰뺨검둥오리 12
 
5.2%
박새 9
 
3.9%
딱새 6
 
2.6%
알락할미새 5
 
2.2%
Other values (24) 44
19.0%

Length

2023-12-12T15:39:50.204760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 67
29.0%
너구리 29
12.6%
멧비둘기 19
 
8.2%
물까치 14
 
6.1%
참새 14
 
6.1%
귀제비 12
 
5.2%
흰뺨검둥오리 12
 
5.2%
박새 9
 
3.9%
딱새 6
 
2.6%
알락할미새 5
 
2.2%
Other values (24) 44
19.0%

강
Categorical

Distinct2
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
조강(Aves)
128 
포유강(Mammalia)
103 

Length

Max length13
Median length8
Mean length10.229437
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) 128
55.4%
포유강(Mammalia) 103
44.6%

Length

2023-12-12T15:39:50.353407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:50.463954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 128
55.4%
포유강(mammalia 103
44.6%

목
Categorical

Distinct10
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
참새목
80 
소목
71 
식육목
29 
비둘기목
21 
기러기목
12 
Other values (5)
18 

Length

Max length5
Median length3
Mean length2.8831169
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
참새목 80
34.6%
소목 71
30.7%
식육목 29
 
12.6%
비둘기목 21
 
9.1%
기러기목 12
 
5.2%
황새목 7
 
3.0%
파랑새목 4
 
1.7%
딱다구리목 3
 
1.3%
박쥐목 3
 
1.3%
쏙독새목 1
 
0.4%

Length

2023-12-12T15:39:50.586835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:50.717406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
참새목 80
34.6%
소목 71
30.7%
식육목 29
 
12.6%
비둘기목 21
 
9.1%
기러기목 12
 
5.2%
황새목 7
 
3.0%
파랑새목 4
 
1.7%
딱다구리목 3
 
1.3%
박쥐목 3
 
1.3%
쏙독새목 1
 
0.4%

과
Categorical

Distinct24
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
사슴과
67 
개과
29 
비둘기과
21 
까마귀과
20 
제비과
16 
Other values (19)
78 

Length

Max length9
Median length3
Mean length3.2987013
Min length2

Unique

Unique7 ?
Unique (%)3.0%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 67
29.0%
개과 29
12.6%
비둘기과 21
 
9.1%
까마귀과 20
 
8.7%
제비과 16
 
6.9%
참새과 14
 
6.1%
오리과 12
 
5.2%
박새과 9
 
3.9%
왜가리과 7
 
3.0%
솔딱새과 6
 
2.6%
Other values (14) 30
13.0%

Length

2023-12-12T15:39:50.872163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 67
29.0%
개과 29
12.6%
비둘기과 21
 
9.1%
까마귀과 20
 
8.7%
제비과 16
 
6.9%
참새과 14
 
6.1%
오리과 12
 
5.2%
박새과 9
 
3.9%
왜가리과 7
 
3.0%
솔딱새과 6
 
2.6%
Other values (14) 30
13.0%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
해당없음
231 

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 231
100.0%

Length

2023-12-12T15:39:50.992785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:51.087424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 231
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
해당없음
231 

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 231
100.0%

Length

2023-12-12T15:39:51.179800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:51.283644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 231
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
해당없음
231 

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 231
100.0%

Length

2023-12-12T15:39:51.385072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:51.501758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 231
100.0%

구조일시
Date

Distinct159
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2019-04-08 00:00:00
Maximum2022-12-29 00:00:00
2023-12-12T15:39:51.639820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:51.797483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct173
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum2019-04-25 00:00:00
Maximum2023-05-09 00:00:00
2023-12-12T15:39:51.947197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:39:52.096835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
방생
85 
안락사
54 
폐사
38 
DOA
37 
폐사체
16 

Length

Max length3
Median length2
Mean length2.4632035
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
방생 85
36.8%
안락사 54
23.4%
폐사 38
16.5%
DOA 37
16.0%
폐사체 16
 
6.9%
기타 1
 
0.4%

Length

2023-12-12T15:39:52.220404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:52.314720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 85
36.8%
안락사 54
23.4%
폐사 38
16.5%
doa 37
16.0%
폐사체 16
 
6.9%
기타 1
 
0.4%

이첩 방생 위치
Categorical

Distinct42
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
147 
충청남도 예산군 예산읍 주교리 508-2
 
9
충청남도 예산군 예산읍 대회리 1
 
8
충청남도 공주시 신관동 180-5 대동다숲1단지 아파트 106동 702호
 
6
충청남도 공주시 금흥동 628
 
5
Other values (37)
56 

Length

Max length40
Median length4
Mean length9.7489177
Min length4

Unique

Unique26 ?
Unique (%)11.3%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row충청남도 공주시 금흥동 628

Common Values

ValueCountFrequency (%)
<NA> 147
63.6%
충청남도 예산군 예산읍 주교리 508-2 9
 
3.9%
충청남도 예산군 예산읍 대회리 1 8
 
3.5%
충청남도 공주시 신관동 180-5 대동다숲1단지 아파트 106동 702호 6
 
2.6%
충청남도 공주시 금흥동 628 5
 
2.2%
충청남도 공주시 5
 
2.2%
충남 예산군 대흥면 갈신리 559 4
 
1.7%
충청남도 예산군 예산읍 향천리 56 4
 
1.7%
충청남도 공주시 금흥동 101 3
 
1.3%
충청남도 예산군 오가면 원천리 752-1 2
 
0.9%
Other values (32) 38
 
16.5%

Length

2023-12-12T15:39:52.421667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 147
26.7%
충청남도 68
 
12.3%
예산군 45
 
8.2%
공주시 29
 
5.3%
예산읍 24
 
4.4%
충남 15
 
2.7%
1 10
 
1.8%
주교리 9
 
1.6%
508-2 9
 
1.6%
대회리 9
 
1.6%
Other values (85) 186
33.8%

사체처리
Categorical

Distinct7
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
기타
101 
<NA>
87 
폐기
23 
냉동(신냉동창고)(투입박스(일반))
 
10
냉동(구냉동창고)(성체고라니, 개선충너구리)
 
5
Other values (2)
 
5

Length

Max length24
Median length2
Mean length4.0995671
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
기타 101
43.7%
<NA> 87
37.7%
폐기 23
 
10.0%
냉동(신냉동창고)(투입박스(일반)) 10
 
4.3%
냉동(구냉동창고)(성체고라니, 개선충너구리) 5
 
2.2%
기타(협조) 4
 
1.7%
냉동(표본제작실)(소형조류 1) 1
 
0.4%

Length

2023-12-12T15:39:52.522177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:52.602522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 101
42.6%
na 87
36.7%
폐기 23
 
9.7%
냉동(신냉동창고)(투입박스(일반 10
 
4.2%
냉동(구냉동창고)(성체고라니 5
 
2.1%
개선충너구리 5
 
2.1%
기타(협조 4
 
1.7%
냉동(표본제작실)(소형조류 1
 
0.4%
1 1
 
0.4%

동물성별
Categorical

Distinct3
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Unknown
147 
Male
46 
Female
38 

Length

Max length7
Median length7
Mean length6.2380952
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 147
63.6%
Male 46
 
19.9%
Female 38
 
16.5%

Length

2023-12-12T15:39:52.735827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:52.835074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 147
63.6%
male 46
 
19.9%
female 38
 
16.5%

동물연령
Categorical

Distinct26
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
0년0월0일
61 
Nestling
47 
Juvenile
47 
Unknown
19 
Adult
15 
Other values (21)
42 

Length

Max length8
Median length7
Mean length6.8571429
Min length5

Unique

Unique13 ?
Unique (%)5.6%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 61
26.4%
Nestling 47
20.3%
Juvenile 47
20.3%
Unknown 19
 
8.2%
Adult 15
 
6.5%
0년1월0일 9
 
3.9%
0년2월0일 5
 
2.2%
1년0월0일 4
 
1.7%
1년5월0일 3
 
1.3%
0년5월0일 2
 
0.9%
Other values (16) 19
 
8.2%

Length

2023-12-12T15:39:52.935562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 61
26.4%
juvenile 47
20.3%
nestling 47
20.3%
unknown 19
 
8.2%
adult 15
 
6.5%
0년1월0일 9
 
3.9%
0년2월0일 5
 
2.2%
1년0월0일 4
 
1.7%
1년5월0일 3
 
1.3%
0년4월0일 2
 
0.9%
Other values (16) 19
 
8.2%

구조위도
Text

MISSING 

Distinct154
Distinct (%)74.0%
Missing23
Missing (%)10.0%
Memory size1.9 KiB
2023-12-12T15:39:53.251800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9038462
Min length6

Characters and Unicode

Total characters1852
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

Unique133 ?
Unique (%)63.9%

Sample

1st row36.462944
2nd row36.357333
3rd row36.478556
4th row36.478556
5th row36.478556
ValueCountFrequency (%)
36.474722 9
 
4.3%
36.469639 6
 
2.9%
36.488139 5
 
2.4%
36.432472 5
 
2.4%
36.478556 5
 
2.4%
36.27.460 4
 
1.9%
36.396361 4
 
1.9%
36.512694 4
 
1.9%
36.475139 4
 
1.9%
36.402333 3
 
1.4%
Other values (144) 159
76.4%
2023-12-12T15:39:53.751035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 372
20.1%
6 309
16.7%
. 268
14.5%
4 183
9.9%
2 152
8.2%
5 120
 
6.5%
7 107
 
5.8%
9 102
 
5.5%
8 86
 
4.6%
1 82
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1584
85.5%
Other Punctuation 268
 
14.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 372
23.5%
6 309
19.5%
4 183
11.6%
2 152
9.6%
5 120
 
7.6%
7 107
 
6.8%
9 102
 
6.4%
8 86
 
5.4%
1 82
 
5.2%
0 71
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 268
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1852
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 372
20.1%
6 309
16.7%
. 268
14.5%
4 183
9.9%
2 152
8.2%
5 120
 
6.5%
7 107
 
5.8%
9 102
 
5.5%
8 86
 
4.6%
1 82
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1852
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 372
20.1%
6 309
16.7%
. 268
14.5%
4 183
9.9%
2 152
8.2%
5 120
 
6.5%
7 107
 
5.8%
9 102
 
5.5%
8 86
 
4.6%
1 82
 
4.4%

구조경도
Text

MISSING 

Distinct154
Distinct (%)74.0%
Missing23
Missing (%)10.0%
Memory size1.9 KiB
2023-12-12T15:39:54.089265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8894231
Min length7

Characters and Unicode

Total characters2057
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

Unique134 ?
Unique (%)64.4%

Sample

1st row127.110194
2nd row127.23575
3rd row127.150889
4th row127.150889
5th row127.150889
ValueCountFrequency (%)
127.120361 9
 
4.3%
127.137056 7
 
3.4%
127.145361 6
 
2.9%
127.210667 5
 
2.4%
127.150889 5
 
2.4%
127.066222 4
 
1.9%
127.06.261 4
 
1.9%
127.122611 4
 
1.9%
127.235778 4
 
1.9%
127.109667 3
 
1.4%
Other values (144) 157
75.5%
2023-12-12T15:39:54.590936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 418
20.3%
2 334
16.2%
7 288
14.0%
. 268
13.0%
0 154
 
7.5%
6 148
 
7.2%
5 108
 
5.3%
4 89
 
4.3%
3 86
 
4.2%
9 84
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1789
87.0%
Other Punctuation 268
 
13.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 418
23.4%
2 334
18.7%
7 288
16.1%
0 154
 
8.6%
6 148
 
8.3%
5 108
 
6.0%
4 89
 
5.0%
3 86
 
4.8%
9 84
 
4.7%
8 80
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 268
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2057
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 418
20.3%
2 334
16.2%
7 288
14.0%
. 268
13.0%
0 154
 
7.5%
6 148
 
7.2%
5 108
 
5.3%
4 89
 
4.3%
3 86
 
4.2%
9 84
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2057
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 418
20.3%
2 334
16.2%
7 288
14.0%
. 268
13.0%
0 154
 
7.5%
6 148
 
7.2%
5 108
 
5.3%
4 89
 
4.3%
3 86
 
4.2%
9 84
 
4.1%

구조고도
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)48.1%
Missing23
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean65.423077
Minimum0
Maximum261
Zeros3
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:39:55.148541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q126
median46
Q373.5
95-th percentile193
Maximum261
Range261
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation56.028063
Coefficient of variation (CV)0.85639602
Kurtosis1.6023506
Mean65.423077
Median Absolute Deviation (MAD)21.5
Skewness1.5084134
Sum13608
Variance3139.1438
MonotonicityNot monotonic
2023-12-12T15:39:55.324984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 14
 
6.1%
29 11
 
4.8%
26 10
 
4.3%
42 9
 
3.9%
19 8
 
3.5%
69 5
 
2.2%
34 5
 
2.2%
23 5
 
2.2%
32 4
 
1.7%
55 4
 
1.7%
Other values (90) 133
57.6%
(Missing) 23
 
10.0%
ValueCountFrequency (%)
0 3
 
1.3%
11 2
 
0.9%
12 1
 
0.4%
14 1
 
0.4%
15 1
 
0.4%
16 1
 
0.4%
17 14
6.1%
18 1
 
0.4%
19 8
3.5%
20 1
 
0.4%
ValueCountFrequency (%)
261 1
0.4%
252 1
0.4%
251 1
0.4%
235 1
0.4%
207 1
0.4%
201 1
0.4%
198 1
0.4%
196 1
0.4%
195 1
0.4%
194 1
0.4%

방생위도
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)44.1%
Missing172
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean36.602753
Minimum36.359519
Maximum36.794243
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:39:55.470450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.359519
5-th percentile36.365207
Q136.478447
median36.670081
Q336.683328
95-th percentile36.72742
Maximum36.794243
Range0.43472473
Interquartile range (IQR)0.2048814

Descriptive statistics

Standard deviation0.11720214
Coefficient of variation (CV)0.0032020034
Kurtosis-0.88764294
Mean36.602753
Median Absolute Deviation (MAD)0.02630839
Skewness-0.6914888
Sum2159.5624
Variance0.013736341
MonotonicityNot monotonic
2023-12-12T15:39:55.619276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
36.68332791 9
 
3.9%
36.67008139 8
 
3.5%
36.46936102 6
 
2.6%
36.47844651 5
 
2.2%
36.68985894 4
 
1.7%
36.48805437 3
 
1.3%
36.66816249 2
 
0.9%
36.69638978 2
 
0.9%
36.72742023 2
 
0.9%
36.64925223 2
 
0.9%
Other values (16) 16
 
6.9%
(Missing) 172
74.5%
ValueCountFrequency (%)
36.35951864 1
 
0.4%
36.36077297 1
 
0.4%
36.36398718 1
 
0.4%
36.36534294 1
 
0.4%
36.41103947 1
 
0.4%
36.46936102 6
2.6%
36.47482139 1
 
0.4%
36.47844651 5
2.2%
36.48805437 3
1.3%
36.55837511 1
 
0.4%
ValueCountFrequency (%)
36.79424337 1
 
0.4%
36.77094336 1
 
0.4%
36.72742023 2
 
0.9%
36.69902923 1
 
0.4%
36.69638978 2
 
0.9%
36.69244714 1
 
0.4%
36.68985894 4
1.7%
36.68332791 9
3.9%
36.68280428 1
 
0.4%
36.67802003 1
 
0.4%

방생경도
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)44.1%
Missing172
Missing (%)74.5%
Infinite0
Infinite (%)0.0%
Mean126.93101
Minimum126.3656
Maximum127.29111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2023-12-12T15:39:55.757741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3656
5-th percentile126.62462
Q1126.82132
median126.86143
Q3127.1369
95-th percentile127.25249
Maximum127.29111
Range0.9255086
Interquartile range (IQR)0.3155859

Descriptive statistics

Standard deviation0.20700198
Coefficient of variation (CV)0.0016308228
Kurtosis0.17767423
Mean126.93101
Median Absolute Deviation (MAD)0.0716687
Skewness-0.30743767
Sum7488.9295
Variance0.04284982
MonotonicityNot monotonic
2023-12-12T15:39:55.892679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
126.8213157 9
 
3.9%
126.8596661 8
 
3.5%
127.1369016 6
 
2.6%
127.1511779 5
 
2.2%
126.861433 4
 
1.7%
127.1451121 3
 
1.3%
126.8644697 2
 
0.9%
126.7897643 2
 
0.9%
126.6246191 2
 
0.9%
126.6424332 2
 
0.9%
Other values (16) 16
 
6.9%
(Missing) 172
74.5%
ValueCountFrequency (%)
126.3655969 1
 
0.4%
126.379893 1
 
0.4%
126.6246191 2
 
0.9%
126.6424332 2
 
0.9%
126.7897643 2
 
0.9%
126.8026194 1
 
0.4%
126.8213157 9
3.9%
126.823104 1
 
0.4%
126.826405 1
 
0.4%
126.8507948 1
 
0.4%
ValueCountFrequency (%)
127.2911055 1
 
0.4%
127.2656946 1
 
0.4%
127.2572255 1
 
0.4%
127.2519688 1
 
0.4%
127.2438974 1
 
0.4%
127.1511779 5
2.2%
127.1451121 3
1.3%
127.1369016 6
2.6%
127.1336554 1
 
0.4%
127.0621997 1
 
0.4%

발견장소상세
Text

MISSING 

Distinct112
Distinct (%)61.9%
Missing50
Missing (%)21.6%
Memory size1.9 KiB
2023-12-12T15:39:56.189795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length9.1657459
Min length1

Characters and Unicode

Total characters1659
Distinct characters207
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)50.8%

Sample

1st row공주한옥마을 내 역사박물관 주변
2nd row(무령로 599-40) 홍화아파트 단지 내
3rd row(무령로 599-40) 홍화아파트 단지 내
4th row(무령로 599-40) 홍화아파트 단지 내
5th row(무령로 599-40) 홍화아파트 단지 내
ValueCountFrequency (%)
도로변 38
 
8.4%
주소지 29
 
6.4%
내 19
 
4.2%
부근 15
 
3.3%
앞 15
 
3.3%
옆 14
 
3.1%
인근 14
 
3.1%
아파트 9
 
2.0%
농경지 8
 
1.8%
단지 8
 
1.8%
Other values (163) 284
62.7%
2023-12-12T15:39:56.636627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
279
 
16.8%
로 70
 
4.2%
지 64
 
3.9%
도 61
 
3.7%
주 53
 
3.2%
변 44
 
2.7%
소 35
 
2.1%
공 32
 
1.9%
근 30
 
1.8%
내 27
 
1.6%
Other values (197) 964
58.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
74.7%
Space Separator 279
 
16.8%
Decimal Number 102
 
6.1%
Open Punctuation 13
 
0.8%
Close Punctuation 13
 
0.8%
Dash Punctuation 9
 
0.5%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 70
 
5.6%
지 64
 
5.2%
도 61
 
4.9%
주 53
 
4.3%
변 44
 
3.5%
소 35
 
2.8%
공 32
 
2.6%
근 30
 
2.4%
내 27
 
2.2%
부 25
 
2.0%
Other values (180) 799
64.4%
Decimal Number
ValueCountFrequency (%)
0 19
18.6%
1 15
14.7%
2 14
13.7%
6 11
10.8%
9 10
9.8%
3 8
7.8%
7 8
7.8%
4 8
7.8%
5 8
7.8%
8 1
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
T 1
33.3%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
279
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
74.7%
Common 416
 
25.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 70
 
5.6%
지 64
 
5.2%
도 61
 
4.9%
주 53
 
4.3%
변 44
 
3.5%
소 35
 
2.8%
공 32
 
2.6%
근 30
 
2.4%
내 27
 
2.2%
부 25
 
2.0%
Other values (180) 799
64.4%
Common
ValueCountFrequency (%)
279
67.1%
0 19
 
4.6%
1 15
 
3.6%
2 14
 
3.4%
( 13
 
3.1%
) 13
 
3.1%
6 11
 
2.6%
9 10
 
2.4%
- 9
 
2.2%
3 8
 
1.9%
Other values (4) 25
 
6.0%
Latin
ValueCountFrequency (%)
C 1
33.3%
T 1
33.3%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
74.7%
ASCII 419
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
279
66.6%
0 19
 
4.5%
1 15
 
3.6%
2 14
 
3.3%
( 13
 
3.1%
) 13
 
3.1%
6 11
 
2.6%
9 10
 
2.4%
- 9
 
2.1%
3 8
 
1.9%
Other values (7) 28
 
6.7%
Hangul
ValueCountFrequency (%)
로 70
 
5.6%
지 64
 
5.2%
도 61
 
4.9%
주 53
 
4.3%
변 44
 
3.5%
소 35
 
2.8%
공 32
 
2.6%
근 30
 
2.4%
내 27
 
2.2%
부 25
 
2.0%
Other values (180) 799
64.4%

발견주소
Text

Distinct159
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T15:39:57.070720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length18.359307
Min length8

Characters and Unicode

Total characters4241
Distinct characters131
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

Unique139 ?
Unique (%)60.2%

Sample

1st row충청남도 공주시
2nd row충청남도 공주시
3rd row충청남도 공주시 웅진동 325-11
4th row충청남도 공주시 반포면 학봉리 718-2
5th row충청남도 공주시 금흥동 628
ValueCountFrequency (%)
공주시 231
22.7%
충청남도 171
16.8%
충남 60
 
5.9%
반포면 30
 
3.0%
신관동 22
 
2.2%
우성면 22
 
2.2%
계룡면 16
 
1.6%
정안면 13
 
1.3%
금흥동 13
 
1.3%
산 11
 
1.1%
Other values (256) 427
42.0%
2023-12-12T15:39:57.608319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
802
18.9%
주 238
 
5.6%
공 234
 
5.5%
남 232
 
5.5%
충 231
 
5.4%
시 231
 
5.4%
도 176
 
4.1%
청 172
 
4.1%
- 147
 
3.5%
1 142
 
3.3%
Other values (121) 1636
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2533
59.7%
Space Separator 802
 
18.9%
Decimal Number 757
 
17.8%
Dash Punctuation 147
 
3.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 238
 
9.4%
공 234
 
9.2%
남 232
 
9.2%
충 231
 
9.1%
시 231
 
9.1%
도 176
 
6.9%
청 172
 
6.8%
면 117
 
4.6%
리 116
 
4.6%
동 73
 
2.9%
Other values (107) 713
28.1%
Decimal Number
ValueCountFrequency (%)
1 142
18.8%
2 106
14.0%
3 92
12.2%
5 89
11.8%
6 68
9.0%
4 60
7.9%
7 56
 
7.4%
0 54
 
7.1%
8 49
 
6.5%
9 41
 
5.4%
Space Separator
ValueCountFrequency (%)
802
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2533
59.7%
Common 1708
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 238
 
9.4%
공 234
 
9.2%
남 232
 
9.2%
충 231
 
9.1%
시 231
 
9.1%
도 176
 
6.9%
청 172
 
6.8%
면 117
 
4.6%
리 116
 
4.6%
동 73
 
2.9%
Other values (107) 713
28.1%
Common
ValueCountFrequency (%)
802
47.0%
- 147
 
8.6%
1 142
 
8.3%
2 106
 
6.2%
3 92
 
5.4%
5 89
 
5.2%
6 68
 
4.0%
4 60
 
3.5%
7 56
 
3.3%
0 54
 
3.2%
Other values (4) 92
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2533
59.7%
ASCII 1708
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
802
47.0%
- 147
 
8.6%
1 142
 
8.3%
2 106
 
6.2%
3 92
 
5.4%
5 89
 
5.2%
6 68
 
4.0%
4 60
 
3.5%
7 56
 
3.3%
0 54
 
3.2%
Other values (4) 92
 
5.4%
Hangul
ValueCountFrequency (%)
주 238
 
9.4%
공 234
 
9.2%
남 232
 
9.2%
충 231
 
9.1%
시 231
 
9.1%
도 176
 
6.9%
청 172
 
6.8%
면 117
 
4.6%
리 116
 
4.6%
동 73
 
2.9%
Other values (107) 713
28.1%

발견장소특징
Categorical

Distinct7
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
건물옆
112 
도로변
71 
농경지
22 
숲
15 
기타
 
8
Other values (2)
 
3

Length

Max length5
Median length3
Mean length2.8484848
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 112
48.5%
도로변 71
30.7%
농경지 22
 
9.5%
숲 15
 
6.5%
기타 8
 
3.5%
강, 바다 2
 
0.9%
전선 1
 
0.4%

Length

2023-12-12T15:39:57.746491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:39:57.869733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 112
48.1%
도로변 71
30.5%
농경지 22
 
9.4%
숲 15
 
6.4%
기타 8
 
3.4%
강 2
 
0.9%
바다 2
 
0.9%
전선 1
 
0.4%

발생원인
Categorical

Distinct16
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
어미를 잃음(미아)
82 
차량과의 충돌
49 
전선/건물과의 충돌
30 
기생충 중감염
23 
인공구조물 침입·고립
13 
Other values (11)
34 

Length

Max length11
Median length10
Mean length8.5627706
Min length1

Unique

Unique3 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 82
35.5%
차량과의 충돌 49
21.2%
전선/건물과의 충돌 30
 
13.0%
기생충 중감염 23
 
10.0%
인공구조물 침입·고립 13
 
5.6%
개, 고양이 공격 7
 
3.0%
알 수 없는 사고 4
 
1.7%
끈끈이 4
 
1.7%
인공구조물에 얽힘 4
 
1.7%
기아 및 탈진 4
 
1.7%
Other values (6) 11
 
4.8%

Length

2023-12-12T15:39:57.986320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어미를 82
17.5%
잃음(미아 82
17.5%
충돌 79
16.8%
차량과의 49
10.4%
전선/건물과의 30
 
6.4%
기생충 23
 
4.9%
중감염 23
 
4.9%
침입·고립 13
 
2.8%
인공구조물 13
 
2.8%
개 7
 
1.5%
Other values (19) 68
14.5%

발생원인 세부사항
Text

MISSING 

Distinct94
Distinct (%)41.4%
Missing4
Missing (%)1.7%
Memory size1.9 KiB
2023-12-12T15:39:58.168750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length10.264317
Min length2

Characters and Unicode

Total characters2330
Distinct characters150
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique61 ?
Unique (%)26.9%

Sample

1st row인공구조물과의 충돌 추정
2nd row인공구조물과의 충돌 추정
3rd row미아(둥지추락)
4th row어미를 잃은 것으로 오인해 신고
5th row어미를 잃은 것으로 오인해 신고
ValueCountFrequency (%)
충돌 64
 
10.4%
차량과의 39
 
6.3%
어미를 28
 
4.6%
미아 24
 
3.9%
잃음(미아 20
 
3.3%
추정 19
 
3.1%
둥지 18
 
2.9%
구조 15
 
2.4%
기생충 14
 
2.3%
중감염 12
 
2.0%
Other values (123) 362
58.9%
2023-12-12T15:39:58.496788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
403
 
17.3%
충 126
 
5.4%
돌 89
 
3.8%
미 83
 
3.6%
과 64
 
2.7%
의 56
 
2.4%
차 54
 
2.3%
량 54
 
2.3%
아 50
 
2.1%
조 44
 
1.9%
Other values (140) 1307
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1812
77.8%
Space Separator 403
 
17.3%
Other Punctuation 56
 
2.4%
Open Punctuation 28
 
1.2%
Close Punctuation 28
 
1.2%
Decimal Number 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 126
 
7.0%
돌 89
 
4.9%
미 83
 
4.6%
과 64
 
3.5%
의 56
 
3.1%
차 54
 
3.0%
량 54
 
3.0%
아 50
 
2.8%
조 44
 
2.4%
구 41
 
2.3%
Other values (133) 1151
63.5%
Other Punctuation
ValueCountFrequency (%)
/ 37
66.1%
, 13
 
23.2%
· 6
 
10.7%
Space Separator
ValueCountFrequency (%)
403
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Decimal Number
ValueCountFrequency (%)
3 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1812
77.8%
Common 518
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 126
 
7.0%
돌 89
 
4.9%
미 83
 
4.6%
과 64
 
3.5%
의 56
 
3.1%
차 54
 
3.0%
량 54
 
3.0%
아 50
 
2.8%
조 44
 
2.4%
구 41
 
2.3%
Other values (133) 1151
63.5%
Common
ValueCountFrequency (%)
403
77.8%
/ 37
 
7.1%
( 28
 
5.4%
) 28
 
5.4%
, 13
 
2.5%
· 6
 
1.2%
3 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1812
77.8%
ASCII 512
 
22.0%
None 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
403
78.7%
/ 37
 
7.2%
( 28
 
5.5%
) 28
 
5.5%
, 13
 
2.5%
3 3
 
0.6%
Hangul
ValueCountFrequency (%)
충 126
 
7.0%
돌 89
 
4.9%
미 83
 
4.6%
과 64
 
3.5%
의 56
 
3.1%
차 54
 
3.0%
량 54
 
3.0%
아 50
 
2.8%
조 44
 
2.4%
구 41
 
2.3%
Other values (133) 1151
63.5%
None
ValueCountFrequency (%)
· 6
100.0%

TM구조위도
Text

MISSING 

Distinct101
Distinct (%)68.2%
Missing83
Missing (%)35.9%
Memory size1.9 KiB
2023-12-12T15:39:58.712906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1480
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

Unique84 ?
Unique (%)56.8%

Sample

1st row36 27 46.6
2nd row36 21 26.4
3rd row36 28 42.8
4th row36 28 42.8
5th row36 28 42.8
ValueCountFrequency (%)
36 149
33.6%
28 36
 
8.1%
29 15
 
3.4%
21 12
 
2.7%
27 10
 
2.3%
29.0 9
 
2.0%
26 9
 
2.0%
24 9
 
2.0%
23 8
 
1.8%
30 8
 
1.8%
Other values (103) 179
40.3%
2023-12-12T15:39:59.091099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
20.0%
3 240
16.2%
6 195
13.2%
2 162
10.9%
. 148
10.0%
1 78
 
5.3%
4 74
 
5.0%
0 70
 
4.7%
8 67
 
4.5%
9 56
 
3.8%
Other values (2) 94
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1036
70.0%
Space Separator 296
 
20.0%
Other Punctuation 148
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 240
23.2%
6 195
18.8%
2 162
15.6%
1 78
 
7.5%
4 74
 
7.1%
0 70
 
6.8%
8 67
 
6.5%
9 56
 
5.4%
5 55
 
5.3%
7 39
 
3.8%
Space Separator
ValueCountFrequency (%)
296
100.0%
Other Punctuation
ValueCountFrequency (%)
. 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1480
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
296
20.0%
3 240
16.2%
6 195
13.2%
2 162
10.9%
. 148
10.0%
1 78
 
5.3%
4 74
 
5.0%
0 70
 
4.7%
8 67
 
4.5%
9 56
 
3.8%
Other values (2) 94
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1480
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
296
20.0%
3 240
16.2%
6 195
13.2%
2 162
10.9%
. 148
10.0%
1 78
 
5.3%
4 74
 
5.0%
0 70
 
4.7%
8 67
 
4.5%
9 56
 
3.8%
Other values (2) 94
 
6.4%

TM구조경도
Text

MISSING 

Distinct101
Distinct (%)68.2%
Missing83
Missing (%)35.9%
Memory size1.9 KiB
2023-12-12T15:39:59.361797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1628
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

Unique85 ?
Unique (%)57.4%

Sample

1st row127 06 36.7
2nd row127 14 08.7
3rd row127 09 03.2
4th row127 09 03.2
5th row127 09 03.2
ValueCountFrequency (%)
127 139
31.3%
08 30
 
6.8%
07 25
 
5.6%
09 14
 
3.2%
03 11
 
2.5%
13.3 9
 
2.0%
10 9
 
2.0%
126 9
 
2.0%
06 8
 
1.8%
14 8
 
1.8%
Other values (107) 182
41.0%
2023-12-12T15:39:59.741460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
296
18.2%
1 243
14.9%
2 196
12.0%
7 193
11.9%
0 165
10.1%
. 148
9.1%
3 94
 
5.8%
8 75
 
4.6%
4 74
 
4.5%
5 64
 
3.9%
Other values (2) 80
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1184
72.7%
Space Separator 296
 
18.2%
Other Punctuation 148
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 243
20.5%
2 196
16.6%
7 193
16.3%
0 165
13.9%
3 94
 
7.9%
8 75
 
6.3%
4 74
 
6.2%
5 64
 
5.4%
6 41
 
3.5%
9 39
 
3.3%
Space Separator
ValueCountFrequency (%)
296
100.0%
Other Punctuation
ValueCountFrequency (%)
. 148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1628
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
296
18.2%
1 243
14.9%
2 196
12.0%
7 193
11.9%
0 165
10.1%
. 148
9.1%
3 94
 
5.8%
8 75
 
4.6%
4 74
 
4.5%
5 64
 
3.9%
Other values (2) 80
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1628
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
296
18.2%
1 243
14.9%
2 196
12.0%
7 193
11.9%
0 165
10.1%
. 148
9.1%
3 94
 
5.8%
8 75
 
4.6%
4 74
 
4.5%
5 64
 
3.9%
Other values (2) 80
 
4.9%

TM방생위도
Text

MISSING 

Distinct37
Distinct (%)61.7%
Missing171
Missing (%)74.0%
Memory size1.9 KiB
2023-12-12T15:39:59.914057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters600
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

Unique25 ?
Unique (%)41.7%

Sample

1st row36 28 42.9
2nd row36 28 42.8
3rd row36 28 42.7
4th row36 28 42.9
5th row36 28 42.7
ValueCountFrequency (%)
36 61
33.9%
40 23
 
12.8%
28 12
 
6.7%
59.6 9
 
5.0%
41 8
 
4.4%
21 4
 
2.2%
24.8 4
 
2.2%
10.7 3
 
1.7%
38 3
 
1.7%
29 3
 
1.7%
Other values (39) 50
27.8%
2023-12-12T15:40:00.200521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
20.0%
3 83
13.8%
6 81
13.5%
. 60
10.0%
4 57
9.5%
0 42
 
7.0%
2 35
 
5.8%
8 35
 
5.8%
1 34
 
5.7%
5 20
 
3.3%
Other values (2) 33
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 420
70.0%
Space Separator 120
 
20.0%
Other Punctuation 60
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 83
19.8%
6 81
19.3%
4 57
13.6%
0 42
10.0%
2 35
8.3%
8 35
8.3%
1 34
8.1%
5 20
 
4.8%
9 19
 
4.5%
7 14
 
3.3%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
120
20.0%
3 83
13.8%
6 81
13.5%
. 60
10.0%
4 57
9.5%
0 42
 
7.0%
2 35
 
5.8%
8 35
 
5.8%
1 34
 
5.7%
5 20
 
3.3%
Other values (2) 33
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
20.0%
3 83
13.8%
6 81
13.5%
. 60
10.0%
4 57
9.5%
0 42
 
7.0%
2 35
 
5.8%
8 35
 
5.8%
1 34
 
5.7%
5 20
 
3.3%
Other values (2) 33
 
5.5%

TM방생경도
Text

MISSING 

Distinct39
Distinct (%)65.0%
Missing171
Missing (%)74.0%
Memory size1.9 KiB
2023-12-12T15:40:00.380327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters660
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

Unique29 ?
Unique (%)48.3%

Sample

1st row127 09 03.3
2nd row127 09 03.7
3rd row127 09 03.5
4th row127 09 03.2
5th row127 09 03.5
ValueCountFrequency (%)
126 39
21.7%
127 21
 
11.7%
51 16
 
8.9%
49 11
 
6.1%
08 10
 
5.6%
16.7 9
 
5.0%
43.6 6
 
3.3%
09 5
 
2.8%
13.4 4
 
2.2%
23.1 3
 
1.7%
Other values (44) 56
31.1%
2023-12-12T15:40:00.683408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.2%
1 109
16.5%
2 72
10.9%
6 63
9.5%
. 60
9.1%
3 47
 
7.1%
7 44
 
6.7%
4 37
 
5.6%
5 36
 
5.5%
0 28
 
4.2%
Other values (2) 44
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 480
72.7%
Space Separator 120
 
18.2%
Other Punctuation 60
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 109
22.7%
2 72
15.0%
6 63
13.1%
3 47
9.8%
7 44
9.2%
4 37
 
7.7%
5 36
 
7.5%
0 28
 
5.8%
8 23
 
4.8%
9 21
 
4.4%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
120
18.2%
1 109
16.5%
2 72
10.9%
6 63
9.5%
. 60
9.1%
3 47
 
7.1%
7 44
 
6.7%
4 37
 
5.6%
5 36
 
5.5%
0 28
 
4.2%
Other values (2) 44
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
18.2%
1 109
16.5%
2 72
10.9%
6 63
9.5%
. 60
9.1%
3 47
 
7.1%
7 44
 
6.7%
4 37
 
5.6%
5 36
 
5.5%
0 28
 
4.2%
Other values (2) 44
 
6.7%

등록체중
Text

Distinct149
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T15:40:00.980984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.1341991
Min length1

Characters and Unicode

Total characters724
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

Unique126 ?
Unique (%)54.5%

Sample

1st row116
2nd row132
3rd row38
4th row278
5th row0
ValueCountFrequency (%)
0 44
 
19.0%
10 7
 
3.0%
12 6
 
2.6%
16 5
 
2.2%
9 5
 
2.2%
8 3
 
1.3%
36.3 3
 
1.3%
11640 2
 
0.9%
12,720 2
 
0.9%
3,660 2
 
0.9%
Other values (139) 152
65.8%
2023-12-12T15:40:01.380677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 178
24.6%
1 131
18.1%
2 81
11.2%
6 61
 
8.4%
4 58
 
8.0%
3 46
 
6.4%
8 45
 
6.2%
, 32
 
4.4%
9 26
 
3.6%
5 26
 
3.6%
Other values (2) 40
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 677
93.5%
Other Punctuation 47
 
6.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
26.3%
1 131
19.4%
2 81
12.0%
6 61
 
9.0%
4 58
 
8.6%
3 46
 
6.8%
8 45
 
6.6%
9 26
 
3.8%
5 26
 
3.8%
7 25
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 32
68.1%
. 15
31.9%

Most occurring scripts

ValueCountFrequency (%)
Common 724
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 178
24.6%
1 131
18.1%
2 81
11.2%
6 61
 
8.4%
4 58
 
8.0%
3 46
 
6.4%
8 45
 
6.2%
, 32
 
4.4%
9 26
 
3.6%
5 26
 
3.6%
Other values (2) 40
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 724
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 178
24.6%
1 131
18.1%
2 81
11.2%
6 61
 
8.4%
4 58
 
8.0%
3 46
 
6.4%
8 45
 
6.2%
, 32
 
4.4%
9 26
 
3.6%
5 26
 
3.6%
Other values (2) 40
 
5.5%

현재체중
Text

Distinct162
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T15:40:01.721339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.1904762
Min length1

Characters and Unicode

Total characters737
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

Unique144 ?
Unique (%)62.3%

Sample

1st row100
2nd row144
3rd row34
4th row278
5th row0
ValueCountFrequency (%)
0 44
 
19.0%
8 5
 
2.2%
18 5
 
2.2%
14 4
 
1.7%
15 3
 
1.3%
19 2
 
0.9%
10 2
 
0.9%
46 2
 
0.9%
9 2
 
0.9%
16 2
 
0.9%
Other values (152) 160
69.3%
2023-12-12T15:40:02.182857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 193
26.2%
1 133
18.0%
2 71
 
9.6%
4 67
 
9.1%
6 52
 
7.1%
8 49
 
6.6%
3 47
 
6.4%
, 32
 
4.3%
7 29
 
3.9%
5 28
 
3.8%
Other values (2) 36
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 692
93.9%
Other Punctuation 45
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 193
27.9%
1 133
19.2%
2 71
 
10.3%
4 67
 
9.7%
6 52
 
7.5%
8 49
 
7.1%
3 47
 
6.8%
7 29
 
4.2%
5 28
 
4.0%
9 23
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 32
71.1%
. 13
28.9%

Most occurring scripts

ValueCountFrequency (%)
Common 737
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 193
26.2%
1 133
18.0%
2 71
 
9.6%
4 67
 
9.1%
6 52
 
7.1%
8 49
 
6.6%
3 47
 
6.4%
, 32
 
4.3%
7 29
 
3.9%
5 28
 
3.8%
Other values (2) 36
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 737
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 193
26.2%
1 133
18.0%
2 71
 
9.6%
4 67
 
9.1%
6 52
 
7.1%
8 49
 
6.6%
3 47
 
6.4%
, 32
 
4.3%
7 29
 
3.9%
5 28
 
3.8%
Other values (2) 36
 
4.9%

임상적최종진단
Text

MISSING 

Distinct140
Distinct (%)61.4%
Missing3
Missing (%)1.3%
Memory size1.9 KiB
2023-12-12T15:40:02.519952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length30
Mean length12.758772
Min length2

Characters and Unicode

Total characters2909
Distinct characters250
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique122 ?
Unique (%)53.5%

Sample

1st row등쪽 둔부 타격에 의한 타박상 및 내상
2nd row우측 요골 폐쇄골절 및 경비골 원위부 개방골절
3rd row둥지에서 추락
4th row수척-괴사성장염(추정)
5th row어미를 잃은 것으로 오인해 신고한 정상 개체
ValueCountFrequency (%)
미아 57
 
6.9%
의한 38
 
4.6%
개체 31
 
3.7%
우측 30
 
3.6%
및 28
 
3.4%
골절 27
 
3.2%
충돌에 24
 
2.9%
개선충 23
 
2.8%
좌측 21
 
2.5%
단순 20
 
2.4%
Other values (261) 532
64.0%
2023-12-12T15:40:03.087472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
610
 
21.0%
골 115
 
4.0%
절 83
 
2.9%
개 80
 
2.8%
미 76
 
2.6%
아 76
 
2.6%
한 75
 
2.6%
측 60
 
2.1%
상 55
 
1.9%
충 55
 
1.9%
Other values (240) 1624
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2078
71.4%
Space Separator 610
 
21.0%
Lowercase Letter 76
 
2.6%
Other Punctuation 51
 
1.8%
Uppercase Letter 31
 
1.1%
Decimal Number 28
 
1.0%
Open Punctuation 15
 
0.5%
Close Punctuation 15
 
0.5%
Math Symbol 4
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 115
 
5.5%
절 83
 
4.0%
개 80
 
3.8%
미 76
 
3.7%
아 76
 
3.7%
한 75
 
3.6%
측 60
 
2.9%
상 55
 
2.6%
충 55
 
2.6%
의 44
 
2.1%
Other values (199) 1359
65.4%
Lowercase Letter
ValueCountFrequency (%)
l 9
11.8%
e 9
11.8%
a 9
11.8%
t 8
10.5%
o 7
9.2%
r 6
7.9%
n 5
 
6.6%
s 3
 
3.9%
p 3
 
3.9%
c 3
 
3.9%
Other values (9) 14
18.4%
Uppercase Letter
ValueCountFrequency (%)
L 16
51.6%
T 4
 
12.9%
C 3
 
9.7%
R 3
 
9.7%
B 2
 
6.5%
M 1
 
3.2%
H 1
 
3.2%
P 1
 
3.2%
Decimal Number
ValueCountFrequency (%)
1 7
25.0%
4 6
21.4%
5 5
17.9%
6 4
14.3%
3 3
10.7%
2 3
10.7%
Other Punctuation
ValueCountFrequency (%)
, 35
68.6%
/ 9
 
17.6%
. 7
 
13.7%
Space Separator
ValueCountFrequency (%)
610
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2078
71.4%
Common 724
 
24.9%
Latin 107
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 115
 
5.5%
절 83
 
4.0%
개 80
 
3.8%
미 76
 
3.7%
아 76
 
3.7%
한 75
 
3.6%
측 60
 
2.9%
상 55
 
2.6%
충 55
 
2.6%
의 44
 
2.1%
Other values (199) 1359
65.4%
Latin
ValueCountFrequency (%)
L 16
15.0%
l 9
 
8.4%
e 9
 
8.4%
a 9
 
8.4%
t 8
 
7.5%
o 7
 
6.5%
r 6
 
5.6%
n 5
 
4.7%
T 4
 
3.7%
C 3
 
2.8%
Other values (17) 31
29.0%
Common
ValueCountFrequency (%)
610
84.3%
, 35
 
4.8%
( 15
 
2.1%
) 15
 
2.1%
/ 9
 
1.2%
. 7
 
1.0%
1 7
 
1.0%
4 6
 
0.8%
5 5
 
0.7%
6 4
 
0.6%
Other values (4) 11
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2078
71.4%
ASCII 831
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
610
73.4%
, 35
 
4.2%
L 16
 
1.9%
( 15
 
1.8%
) 15
 
1.8%
/ 9
 
1.1%
l 9
 
1.1%
e 9
 
1.1%
a 9
 
1.1%
t 8
 
1.0%
Other values (31) 96
 
11.6%
Hangul
ValueCountFrequency (%)
골 115
 
5.5%
절 83
 
4.0%
개 80
 
3.8%
미 76
 
3.7%
아 76
 
3.7%
한 75
 
3.6%
측 60
 
2.9%
상 55
 
2.6%
충 55
 
2.6%
의 44
 
2.1%
Other values (199) 1359
65.4%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-1108청딱다구리조강(Aves)딱다구리목딱다구리과해당없음해당없음해당없음2019-07-202019-08-11폐사<NA>기타UnknownAdult<NA><NA><NA><NA><NA><NA>충청남도 공주시건물옆전선/건물과의 충돌인공구조물과의 충돌 추정<NA><NA><NA><NA>116100등쪽 둔부 타격에 의한 타박상 및 내상
12019-0904멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-06-282019-07-08안락사<NA>기타UnknownNestling<NA><NA><NA><NA><NA><NA>충청남도 공주시숲전선/건물과의 충돌인공구조물과의 충돌 추정<NA><NA><NA><NA>132144우측 요골 폐쇄골절 및 경비골 원위부 개방골절
22019-0910물까치조강(Aves)참새목까마귀과해당없음해당없음해당없음2019-06-282019-07-01폐사<NA>기타UnknownJuvenile36.462944127.11019434<NA><NA>공주한옥마을 내 역사박물관 주변충청남도 공주시 웅진동 325-11건물옆어미를 잃음(미아)미아(둥지추락)36 27 46.6127 06 36.7<NA><NA>3834둥지에서 추락
32019-1548큰부리까마귀조강(Aves)참새목까마귀과해당없음해당없음해당없음2019-10-232019-10-24DOA<NA>기타UnknownUnknown36.357333127.23575172<NA><NA><NA>충청남도 공주시 반포면 학봉리 718-2건물옆알 수 없는 사고<NA>36 21 26.4127 14 08.7<NA><NA>278278수척-괴사성장염(추정)
42019-0530박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-05-232019-05-23방생충청남도 공주시 금흥동 628<NA>UnknownNestling36.478556127.1508892636.478447127.151178(무령로 599-40) 홍화아파트 단지 내충청남도 공주시 금흥동 628건물옆어미를 잃음(미아)어미를 잃은 것으로 오인해 신고36 28 42.8127 09 03.236 28 42.9127 09 03.300어미를 잃은 것으로 오인해 신고한 정상 개체
52019-0531박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-05-232019-05-23방생충청남도 공주시 금흥동 628<NA>UnknownNestling36.478556127.1508892636.478447127.151178(무령로 599-40) 홍화아파트 단지 내충청남도 공주시 금흥동 628건물옆어미를 잃음(미아)어미를 잃은 것으로 오인해 신고36 28 42.8127 09 03.236 28 42.8127 09 03.700어미를 잃은 것으로 오인해 신고한 정상 개체
62019-0532박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-05-232019-05-23방생충청남도 공주시 금흥동 628<NA>UnknownNestling36.478556127.1508892636.478447127.151178(무령로 599-40) 홍화아파트 단지 내충청남도 공주시 금흥동 628건물옆어미를 잃음(미아)어미를 잃은 것으로 오인해 신고36 28 42.8127 09 03.236 28 42.7127 09 03.500어미를 잃은 것으로 오인해 신고한 정상 개체
72019-0533박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-05-232019-05-23방생충청남도 공주시 금흥동 628<NA>UnknownNestling36.478556127.1508892636.478447127.151178(무령로 599-40) 홍화아파트 단지 내충청남도 공주시 금흥동 628건물옆어미를 잃음(미아)어미를 잃은 것으로 오인해 신고36 28 42.8127 09 03.236 28 42.9127 09 03.200어미를 잃은 것으로 오인해 신고한 정상 개체
82019-0534박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-05-232019-05-23방생충청남도 공주시 금흥동 628<NA>UnknownNestling36.478556127.1508892636.478447127.151178(무령로 599-40) 홍화아파트 단지 내충청남도 공주시 금흥동 628건물옆어미를 잃음(미아)어미를 잃은 것으로 오인해 신고36 28 42.8127 09 03.236 28 42.7127 09 03.500어미를 잃은 것으로 오인해 신고한 정상 개체
92019-0546박새조강(Aves)참새목박새과해당없음해당없음해당없음2019-05-242019-05-27폐사<NA>기타UnknownJuvenile<NA><NA><NA><NA><NA><NA>충청남도 공주시도로변어미를 잃음(미아)도로변에서 걸어다니는 유조 3개체 신고자가 구조<NA><NA><NA><NA>98미아
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
2212022-0283너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-02-282022-06-16방생충남 공주시 사곡면 신영리 산 57-83<NA>Male0년0월0일36.31.057126.56.59661<NA><NA>농경지충남 공주시 신풍면 산정리 601-7농경지기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>4,3205,760개선충 중감염
2222022-0284너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-02-282022-03-07폐사<NA>기타(협조)Female0년0월0일36.31.057126.56.59661<NA><NA>농경지충남 공주시 신풍면 산정리 601-7농경지기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>3,4403,440개선충 중감염
2232022-0594너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-05-062022-07-07방생충남 아산시 송악면 유곡리 592-2<NA>Female0년0월0일36.23.044127.13.058156<NA><NA>상신식당 뒷편 폐 비닐하우스충남 공주시 반포면 상신리 184건물옆기생충 중감염기생충 중감염/ 개선충<NA><NA><NA><NA>3,6603,990개선충 중감염
2242022-1291너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-06-162022-08-31방생충남 서산시 부석면 창리 617<NA>Male0년0월0일36.23.203127.13.025192<NA><NA>주소지 부근 주택가충남 공주시 반포면 상신리 586-12건물옆기생충 중감염기생충 중감염/개선충 감염<NA><NA><NA><NA>4,2604,360개선충 중감염, 탈수 빈혈 , Bilateral MPL
2252022-1672너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-182022-07-19DOA<NA>냉동(신냉동창고)(투입박스(일반))Female0년0월0일36.23.418127.08.46654<NA><NA>농경지 옆 수풀충남 공주시 계룡면 기산리 263-2농경지기아 및 탈진기아 및 탈진<NA><NA><NA><NA>678678심한 기아 탈진
2262022-1831너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-08-052022-08-06DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.27.599127.04.40015<NA><NA>비닐하우스 내부충남 공주시 우성면 방문리 65-13농경지기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>3,8403,840개선충 중감염
2272022-2058너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-09-142022-09-14폐사체<NA>냉동(신냉동창고)(투입박스(일반))Male0년5월0일36.30.015127.01.26068<NA><NA>주소지 부근 도로변충남 공주시 사곡면 호계리 326-4도로변차량과의 충돌차량과의 충돌<NA><NA><NA><NA>4,2444,244두개골, 골반 골절
2282022-2297너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-112022-11-12DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.27.161127.06.35055<NA><NA>주소지 내 체육관 뒷편 배수로 내충남 공주시 웅진동 220건물옆기생충 중감염개선충 중감염<NA><NA><NA><NA>3,6603,660개선충 중감염
2292022-2298너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-112022-12-07폐사<NA><NA>Male0년0월0일36.25.030127.13.04745<NA><NA>민가 인근 폐가 공터충남 공주시 반포면 마암리 167-5건물옆기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>3,2403,430개선충 중감염 및 승저증
2302022-2324너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-162023-05-09방생충남 서산시 부석면 마룡리 950<NA>Male0년0월0일36.46.106127.10.3310<NA><NA>충청남도교통연수원 주차장 인근 녹지상충남 공주시 연수원길 83건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>5,4805,000개선충 중감염, 우측 전완절단