Overview

Dataset statistics

Number of variables34
Number of observations155
Missing cells857
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory42.4 KiB
Average record size in memory279.9 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

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

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (65.7%)Imbalance
멸종위기등급 is highly imbalanced (50.1%)Imbalance
발견일시 has 154 (99.4%) missing valuesMissing
접수일시 has 154 (99.4%) missing valuesMissing
이첩 방생 위치 has 106 (68.4%) missing valuesMissing
방생위도 has 106 (68.4%) missing valuesMissing
방생경도 has 106 (68.4%) missing valuesMissing
발견장소상세 has 19 (12.3%) missing valuesMissing
방생위도(TM방생위도) has 106 (68.4%) missing valuesMissing
방생경도(TM방생경도) has 106 (68.4%) missing valuesMissing
접수번호 has unique valuesUnique
구조위도 has 2 (1.3%) zerosZeros
구조경도 has 2 (1.3%) zerosZeros
구조고도 has 5 (3.2%) zerosZeros
등록체중 has 21 (13.5%) zerosZeros
현재체중 has 21 (13.5%) zerosZeros

Reproduction

Analysis started2024-01-09 22:30:31.504001
Analysis finished2024-01-09 22:30:32.120374
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct155
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:30:32.335763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters1395
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

Unique155 ?
Unique (%)100.0%

Sample

1st row2019-0023
2nd row2019-0022
3rd row2019-0560
4th row2019-0561
5th row2019-0562
ValueCountFrequency (%)
2019-0023 1
 
0.6%
2021-1655 1
 
0.6%
2021-1371 1
 
0.6%
2021-1583 1
 
0.6%
2021-0137 1
 
0.6%
2021-0049 1
 
0.6%
2021-1704 1
 
0.6%
2021-1763 1
 
0.6%
2021-0497 1
 
0.6%
2021-1698 1
 
0.6%
Other values (145) 145
93.5%
2024-01-10T07:30:32.744316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 314
22.5%
2 311
22.3%
1 228
16.3%
- 155
11.1%
9 94
 
6.7%
3 60
 
4.3%
6 58
 
4.2%
7 56
 
4.0%
8 42
 
3.0%
5 39
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1240
88.9%
Dash Punctuation 155
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 314
25.3%
2 311
25.1%
1 228
18.4%
9 94
 
7.6%
3 60
 
4.8%
6 58
 
4.7%
7 56
 
4.5%
8 42
 
3.4%
5 39
 
3.1%
4 38
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1395
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 314
22.5%
2 311
22.3%
1 228
16.3%
- 155
11.1%
9 94
 
6.7%
3 60
 
4.3%
6 58
 
4.2%
7 56
 
4.0%
8 42
 
3.0%
5 39
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1395
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 314
22.5%
2 311
22.3%
1 228
16.3%
- 155
11.1%
9 94
 
6.7%
3 60
 
4.3%
6 58
 
4.2%
7 56
 
4.0%
8 42
 
3.0%
5 39
 
2.8%

동물국문명
Categorical

Distinct37
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
너구리
32 
고라니
23 
꿩
13 
참새
13 
황조롱이
 
6
Other values (32)
68 

Length

Max length7
Median length3
Mean length3.0580645
Min length1

Unique

Unique17 ?
Unique (%)11.0%

Sample

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

Common Values

ValueCountFrequency (%)
너구리 32
20.6%
고라니 23
14.8%
꿩 13
 
8.4%
참새 13
 
8.4%
황조롱이 6
 
3.9%
멧비둘기 5
 
3.2%
중백로 5
 
3.2%
수리부엉이 5
 
3.2%
올빼미 5
 
3.2%
왜가리 5
 
3.2%
Other values (27) 43
27.7%

Length

2024-01-10T07:30:32.877512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
너구리 32
20.6%
고라니 23
14.8%
꿩 13
 
8.4%
참새 13
 
8.4%
황조롱이 6
 
3.9%
멧비둘기 5
 
3.2%
중백로 5
 
3.2%
수리부엉이 5
 
3.2%
올빼미 5
 
3.2%
왜가리 5
 
3.2%
Other values (27) 43
27.7%

강
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
조강(Aves)
96 
포유강(Mammalia)
59 

Length

Max length13
Median length8
Mean length9.9032258
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) 96
61.9%
포유강(Mammalia) 59
38.1%

Length

2024-01-10T07:30:32.984701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:33.098839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 96
61.9%
포유강(mammalia 59
38.1%

목
Categorical

Distinct14
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
식육목
33 
소목
23 
참새목
19 
황새목
16 
올빼미목
14 
Other values (9)
50 

Length

Max length5
Median length4
Mean length2.8903226
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
식육목 33
21.3%
소목 23
14.8%
참새목 19
12.3%
황새목 16
10.3%
올빼미목 14
9.0%
닭목 13
 
8.4%
매목 13
 
8.4%
기러기목 7
 
4.5%
도요목 5
 
3.2%
비둘기목 5
 
3.2%
Other values (4) 7
 
4.5%

Length

2024-01-10T07:30:33.228543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식육목 33
21.3%
소목 23
14.8%
참새목 19
12.3%
황새목 16
10.3%
올빼미목 14
9.0%
닭목 13
 
8.4%
매목 13
 
8.4%
기러기목 7
 
4.5%
도요목 5
 
3.2%
비둘기목 5
 
3.2%
Other values (4) 7
 
4.5%

과
Categorical

Distinct21
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
개과
32 
사슴과
23 
왜가리과
16 
올빼미과
14 
참새과
13 
Other values (16)
57 

Length

Max length5
Median length4
Mean length3.0193548
Min length2

Unique

Unique6 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
개과 32
20.6%
사슴과 23
14.8%
왜가리과 16
10.3%
올빼미과 14
9.0%
참새과 13
8.4%
꿩과 13
8.4%
오리과 7
 
4.5%
수리과 7
 
4.5%
매과 6
 
3.9%
비둘기과 5
 
3.2%
Other values (11) 19
12.3%

Length

2024-01-10T07:30:33.376904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
개과 32
20.6%
사슴과 23
14.8%
왜가리과 16
10.3%
올빼미과 14
9.0%
참새과 13
8.4%
꿩과 13
8.4%
오리과 7
 
4.5%
수리과 7
 
4.5%
매과 6
 
3.9%
비둘기과 5
 
3.2%
Other values (11) 19
12.3%

천연기념물
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
132 
323-8
 
6
324-2
 
5
324-1
 
5
324-6
 
4
Other values (2)
 
3

Length

Max length5
Median length4
Mean length4.1483871
Min length4

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 132
85.2%
323-8 6
 
3.9%
324-2 5
 
3.2%
324-1 5
 
3.2%
324-6 4
 
2.6%
201-2 2
 
1.3%
323-1 1
 
0.6%

Length

2024-01-10T07:30:33.508430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:33.620842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 132
85.2%
323-8 6
 
3.9%
324-2 5
 
3.2%
324-1 5
 
3.2%
324-6 4
 
2.6%
201-2 2
 
1.3%
323-1 1
 
0.6%

멸종위기등급
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
138 
2 급
17 

Length

Max length4
Median length4
Mean length3.8903226
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 138
89.0%
2 급 17
 
11.0%

Length

2024-01-10T07:30:33.729593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:33.853595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 138
80.2%
2 17
 
9.9%
급 17
 
9.9%

야생동물보호협약
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
해당없음
127 
부속서 2종
28 

Length

Max length6
Median length4
Mean length4.3612903
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 127
81.9%
부속서 2종 28
 
18.1%

Length

2024-01-10T07:30:33.970908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:34.065372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 127
69.4%
부속서 28
 
15.3%
2종 28
 
15.3%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing154
Missing (%)99.4%
Memory size1.3 KiB
Minimum2019-01-09 00:00:00
Maximum2019-01-09 00:00:00
2024-01-10T07:30:34.147127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:34.221830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing154
Missing (%)99.4%
Memory size1.3 KiB
Minimum2019-01-09 00:00:00
Maximum2019-01-09 00:00:00
2024-01-10T07:30:34.295255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:34.396631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct117
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2019-01-03 00:00:00
Maximum2021-12-24 00:00:00
2024-01-10T07:30:34.519978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:34.685226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct116
Distinct (%)74.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2019-01-04 00:00:00
Maximum2021-12-24 00:00:00
2024-01-10T07:30:35.096880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:30:35.212075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
방생
49 
안락사
47 
DOA
24 
폐사체
20 
폐사
15 

Length

Max length3
Median length3
Mean length2.5870968
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 49
31.6%
안락사 47
30.3%
DOA 24
15.5%
폐사체 20
12.9%
폐사 15
 
9.7%

Length

2024-01-10T07:30:35.314612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:35.406668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 49
31.6%
안락사 47
30.3%
doa 24
15.5%
폐사체 20
12.9%
폐사 15
 
9.7%

이첩 방생 위치
Text

MISSING 

Distinct27
Distinct (%)55.1%
Missing106
Missing (%)68.4%
Memory size1.3 KiB
2024-01-10T07:30:35.614116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length22.571429
Min length18

Characters and Unicode

Total characters1106
Distinct characters79
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

Unique20 ?
Unique (%)40.8%

Sample

1st row충청남도 예산군 대흥면 대야리 산 12-11
2nd row충청남도 예산군 대흥면 대야리 산 12-11
3rd row충청남도 예산군 대흥면 대야리 산 12-11
4th row충청남도 예산군 대흥면 대야리 산 12-11
5th row충청남도 예산군 대흥면 대야리 산 12-11
ValueCountFrequency (%)
충청남도 46
17.1%
서천군 26
 
9.7%
산 21
 
7.8%
예산군 16
 
5.9%
12-11 9
 
3.3%
대흥면 9
 
3.3%
대야리 9
 
3.3%
56-7 8
 
3.0%
문장리 8
 
3.0%
문산면 8
 
3.0%
Other values (68) 109
40.5%
2024-01-10T07:30:35.986692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
21.1%
산 55
 
5.0%
남 53
 
4.8%
청 49
 
4.4%
리 48
 
4.3%
충 46
 
4.2%
도 46
 
4.2%
군 44
 
4.0%
서 40
 
3.6%
1 39
 
3.5%
Other values (69) 453
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 678
61.3%
Space Separator 233
 
21.1%
Decimal Number 162
 
14.6%
Dash Punctuation 33
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 55
 
8.1%
남 53
 
7.8%
청 49
 
7.2%
리 48
 
7.1%
충 46
 
6.8%
도 46
 
6.8%
군 44
 
6.5%
서 40
 
5.9%
면 38
 
5.6%
천 33
 
4.9%
Other values (57) 226
33.3%
Decimal Number
ValueCountFrequency (%)
1 39
24.1%
2 29
17.9%
5 21
13.0%
6 21
13.0%
7 16
9.9%
3 13
 
8.0%
9 8
 
4.9%
4 8
 
4.9%
8 6
 
3.7%
0 1
 
0.6%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 678
61.3%
Common 428
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 55
 
8.1%
남 53
 
7.8%
청 49
 
7.2%
리 48
 
7.1%
충 46
 
6.8%
도 46
 
6.8%
군 44
 
6.5%
서 40
 
5.9%
면 38
 
5.6%
천 33
 
4.9%
Other values (57) 226
33.3%
Common
ValueCountFrequency (%)
233
54.4%
1 39
 
9.1%
- 33
 
7.7%
2 29
 
6.8%
5 21
 
4.9%
6 21
 
4.9%
7 16
 
3.7%
3 13
 
3.0%
9 8
 
1.9%
4 8
 
1.9%
Other values (2) 7
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 678
61.3%
ASCII 428
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
54.4%
1 39
 
9.1%
- 33
 
7.7%
2 29
 
6.8%
5 21
 
4.9%
6 21
 
4.9%
7 16
 
3.7%
3 13
 
3.0%
9 8
 
1.9%
4 8
 
1.9%
Other values (2) 7
 
1.6%
Hangul
ValueCountFrequency (%)
산 55
 
8.1%
남 53
 
7.8%
청 49
 
7.2%
리 48
 
7.1%
충 46
 
6.8%
도 46
 
6.8%
군 44
 
6.5%
서 40
 
5.9%
면 38
 
5.6%
천 33
 
4.9%
Other values (57) 226
33.3%

사체처리
Categorical

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기타
106 
<NA>
49 

Length

Max length4
Median length2
Mean length2.6322581
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 106
68.4%
<NA> 49
31.6%

Length

2024-01-10T07:30:36.113749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:36.220502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 106
68.4%
na 49
31.6%

동물성별
Categorical

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Unknown
97 
Male
31 
Female
25 
Male(?)
 
2

Length

Max length7
Median length7
Mean length6.2387097
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 97
62.6%
Male 31
 
20.0%
Female 25
 
16.1%
Male(?) 2
 
1.3%

Length

2024-01-10T07:30:36.315055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:36.415557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 97
62.6%
male 33
 
21.3%
female 25
 
16.1%

동물연령
Categorical

Distinct19
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Adult
26 
Juvenile
26 
0년0월0일
25 
Nestling
23 
Unknown
21 
Other values (14)
34 

Length

Max length8
Median length7
Mean length6.6129032
Min length5

Unique

Unique5 ?
Unique (%)3.2%

Sample

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

Common Values

ValueCountFrequency (%)
Adult 26
16.8%
Juvenile 26
16.8%
0년0월0일 25
16.1%
Nestling 23
14.8%
Unknown 21
13.5%
0년0월3일 7
 
4.5%
0년3월0일 4
 
2.6%
0년1월0일 4
 
2.6%
0년6월0일 3
 
1.9%
0년7월0일 3
 
1.9%
Other values (9) 13
8.4%

Length

2024-01-10T07:30:36.520310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
adult 26
16.8%
juvenile 26
16.8%
0년0월0일 25
16.1%
nestling 23
14.8%
unknown 21
13.5%
0년0월3일 7
 
4.5%
0년3월0일 4
 
2.6%
0년1월0일 4
 
2.6%
0년7월0일 3
 
1.9%
0년6월0일 3
 
1.9%
Other values (9) 13
8.4%

구조위도
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.618711
Minimum0
Maximum36.267194
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:36.656876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.013389
Q136.037555
median36.07875
Q336.120028
95-th percentile36.164
Maximum36.267194
Range36.267194
Interquartile range (IQR)0.0824725

Descriptive statistics

Standard deviation4.0858667
Coefficient of variation (CV)0.11471125
Kurtosis74.925032
Mean35.618711
Median Absolute Deviation (MAD)0.041278
Skewness-8.7147471
Sum5520.9002
Variance16.694307
MonotonicityNot monotonic
2024-01-10T07:30:36.795923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.12002800000001 11
 
7.1%
36.032444 8
 
5.2%
36.072556 5
 
3.2%
36.030111 5
 
3.2%
36.030056 4
 
2.6%
36.043333 4
 
2.6%
36.080389 4
 
2.6%
36.057722 3
 
1.9%
36.10827800000001 3
 
1.9%
0.0 2
 
1.3%
Other values (102) 106
68.4%
ValueCountFrequency (%)
0.0 2
1.3%
36.004611 1
0.6%
36.009111 1
0.6%
36.010944 1
0.6%
36.012611 1
0.6%
36.01302800000001 1
0.6%
36.01338900000001 2
1.3%
36.016361 1
0.6%
36.016889 2
1.3%
36.017361 1
0.6%
ValueCountFrequency (%)
36.267194 1
0.6%
36.184056 1
0.6%
36.182944 1
0.6%
36.175806 1
0.6%
36.171889 1
0.6%
36.171861 1
0.6%
36.168111 1
0.6%
36.1675 1
0.6%
36.1625 1
0.6%
36.162333 1
0.6%

구조경도
Real number (ℝ)

ZEROS 

Distinct110
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.0685
Minimum0
Maximum127.25625
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:36.938488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.54955
Q1126.67883
median126.69697
Q3126.74781
95-th percentile126.80317
Maximum127.25625
Range127.25625
Interquartile range (IQR)0.0689725

Descriptive statistics

Standard deviation14.345975
Coefficient of variation (CV)0.11470494
Kurtosis74.942166
Mean125.0685
Median Absolute Deviation (MAD)0.030306
Skewness-8.7162225
Sum19385.617
Variance205.807
MonotonicityNot monotonic
2024-01-10T07:30:37.084876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.792556 11
 
7.1%
126.747806 8
 
5.2%
126.681417 5
 
3.2%
126.720167 5
 
3.2%
126.682917 4
 
2.6%
126.7225 4
 
2.6%
126.691694 4
 
2.6%
126.804222 3
 
1.9%
126.793806 3
 
1.9%
126.6785 2
 
1.3%
Other values (100) 106
68.4%
ValueCountFrequency (%)
0.0 2
1.3%
126.505083 1
0.6%
126.517306 1
0.6%
126.522556 1
0.6%
126.524806 1
0.6%
126.547583 1
0.6%
126.549528 1
0.6%
126.549556 1
0.6%
126.549611 1
0.6%
126.555194 1
0.6%
ValueCountFrequency (%)
127.25625 1
 
0.6%
126.841806 1
 
0.6%
126.837056 1
 
0.6%
126.833333 1
 
0.6%
126.830472 1
 
0.6%
126.804222 3
 
1.9%
126.802722 1
 
0.6%
126.793806 3
 
1.9%
126.792556 11
7.1%
126.788444 1
 
0.6%

구조고도
Real number (ℝ)

ZEROS 

Distinct44
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.587097
Minimum0
Maximum252
Zeros5
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:37.228089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q17
median13
Q327.5
95-th percentile51
Maximum252
Range252
Interquartile range (IQR)20.5

Descriptive statistics

Standard deviation26.140178
Coefficient of variation (CV)1.269736
Kurtosis41.628749
Mean20.587097
Median Absolute Deviation (MAD)8
Skewness5.404046
Sum3191
Variance683.30892
MonotonicityNot monotonic
2024-01-10T07:30:37.347539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
30 16
 
10.3%
13 13
 
8.4%
6 13
 
8.4%
4 12
 
7.7%
11 8
 
5.2%
8 7
 
4.5%
12 7
 
4.5%
5 6
 
3.9%
0 5
 
3.2%
7 5
 
3.2%
Other values (34) 63
40.6%
ValueCountFrequency (%)
0 5
 
3.2%
1 1
 
0.6%
3 1
 
0.6%
4 12
7.7%
5 6
3.9%
6 13
8.4%
7 5
 
3.2%
8 7
4.5%
9 4
 
2.6%
10 2
 
1.3%
ValueCountFrequency (%)
252 1
0.6%
126 1
0.6%
114 1
0.6%
72 1
0.6%
65 1
0.6%
58 1
0.6%
55 1
0.6%
51 2
1.3%
50 2
1.3%
48 1
0.6%

방생위도
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)53.1%
Missing106
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean36.332571
Minimum36.010068
Maximum36.956173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:37.474661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.010068
5-th percentile36.029312
Q136.081395
median36.159286
Q336.613151
95-th percentile36.713598
Maximum36.956173
Range0.94610499
Interquartile range (IQR)0.53175649

Descriptive statistics

Standard deviation0.27872719
Coefficient of variation (CV)0.0076715514
Kurtosis-1.4766806
Mean36.332571
Median Absolute Deviation (MAD)0.14650878
Skewness0.32166435
Sum1780.296
Variance0.077688844
MonotonicityNot monotonic
2024-01-10T07:30:37.591850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
36.61315107 9
 
5.8%
36.12627336 8
 
5.2%
36.46605692 3
 
1.9%
36.53905328 3
 
1.9%
36.03056875 3
 
1.9%
36.67008139 2
 
1.3%
36.02931173 2
 
1.3%
36.06875158 1
 
0.6%
36.15928604 1
 
0.6%
36.69747720000001 1
 
0.6%
Other values (16) 16
 
10.3%
(Missing) 106
68.4%
ValueCountFrequency (%)
36.0100677 1
 
0.6%
36.01277726 1
 
0.6%
36.02931173 2
1.3%
36.03056875 3
1.9%
36.03697132 1
 
0.6%
36.03864926 1
 
0.6%
36.04704825 1
 
0.6%
36.06875158 1
 
0.6%
36.07847862 1
 
0.6%
36.08139458 1
 
0.6%
ValueCountFrequency (%)
36.95617269 1
 
0.6%
36.74138457 1
 
0.6%
36.72434499 1
 
0.6%
36.69747720000001 1
 
0.6%
36.67008139 2
 
1.3%
36.64925223 1
 
0.6%
36.61315107 9
5.8%
36.53905328 3
 
1.9%
36.46605692 3
 
1.9%
36.44256416 1
 
0.6%

방생경도
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)53.1%
Missing106
Missing (%)68.4%
Infinite0
Infinite (%)0.0%
Mean126.77027
Minimum126.40991
Maximum127.30276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:37.706175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.40991
5-th percentile126.58167
Q1126.71536
median126.72418
Q3126.81372
95-th percentile127.1899
Maximum127.30276
Range0.892843
Interquartile range (IQR)0.0983645

Descriptive statistics

Standard deviation0.16881316
Coefficient of variation (CV)0.0013316464
Kurtosis4.8944629
Mean126.77027
Median Absolute Deviation (MAD)0.0539256
Skewness1.6459809
Sum6211.743
Variance0.028497885
MonotonicityNot monotonic
2024-01-10T07:30:37.829454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
126.8137242 9
 
5.8%
126.7241799 8
 
5.2%
127.3027559 3
 
1.9%
126.8120379 3
 
1.9%
126.7231027 3
 
1.9%
126.85966609999998 2
 
1.3%
126.7239287 2
 
1.3%
126.68406840000002 1
 
0.6%
126.6381835 1
 
0.6%
126.4358662 1
 
0.6%
Other values (16) 16
 
10.3%
(Missing) 106
68.4%
ValueCountFrequency (%)
126.4099129 1
0.6%
126.4358662 1
0.6%
126.5439924 1
0.6%
126.6381835 1
0.6%
126.6424332 1
0.6%
126.6702543 1
0.6%
126.6722508 1
0.6%
126.6813277 1
0.6%
126.68406840000002 1
0.6%
126.6903062 1
0.6%
ValueCountFrequency (%)
127.3027559 3
 
1.9%
127.0206229 1
 
0.6%
126.85966609999998 2
 
1.3%
126.8137242 9
5.8%
126.8120379 3
 
1.9%
126.8020963 1
 
0.6%
126.7504757 1
 
0.6%
126.7479433 1
 
0.6%
126.7301812 1
 
0.6%
126.7241799 8
5.2%

발견장소상세
Text

MISSING 

Distinct85
Distinct (%)62.5%
Missing19
Missing (%)12.3%
Memory size1.3 KiB
2024-01-10T07:30:38.100080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length9.9338235
Min length1

Characters and Unicode

Total characters1351
Distinct characters169
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

Unique72 ?
Unique (%)52.9%

Sample

1st row부사호 주변 농경지, 주소 정확하지 않음
2nd row부사호 주변 농경지, 주소 정확하지 않음
3rd row(한마로 456-51) 마산면문화활력소 부근
4th row(한마로 456-51) 마산면문화활력소 부근
5th row(한마로 456-51) 마산면문화활력소 부근
ValueCountFrequency (%)
부근 26
 
7.2%
농경지 18
 
5.0%
국립생태원 15
 
4.2%
주소 14
 
3.9%
주소지 13
 
3.6%
도로변 12
 
3.3%
2층 11
 
3.1%
마산면문화활력소 11
 
3.1%
한마로 11
 
3.1%
456-51 11
 
3.1%
Other values (121) 218
60.6%
2024-01-10T07:30:38.477764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
231
 
17.1%
주 48
 
3.6%
소 46
 
3.4%
지 44
 
3.3%
로 42
 
3.1%
부 33
 
2.4%
마 30
 
2.2%
근 28
 
2.1%
원 27
 
2.0%
생 24
 
1.8%
Other values (159) 798
59.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 974
72.1%
Space Separator 231
 
17.1%
Decimal Number 94
 
7.0%
Close Punctuation 17
 
1.3%
Open Punctuation 17
 
1.3%
Dash Punctuation 12
 
0.9%
Other Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
4.9%
소 46
 
4.7%
지 44
 
4.5%
로 42
 
4.3%
부 33
 
3.4%
마 30
 
3.1%
근 28
 
2.9%
원 27
 
2.8%
생 24
 
2.5%
태 24
 
2.5%
Other values (145) 628
64.5%
Decimal Number
ValueCountFrequency (%)
5 24
25.5%
1 20
21.3%
4 15
16.0%
6 14
14.9%
2 13
13.8%
9 4
 
4.3%
3 2
 
2.1%
0 1
 
1.1%
7 1
 
1.1%
Space Separator
ValueCountFrequency (%)
231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 974
72.1%
Common 377
 
27.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
4.9%
소 46
 
4.7%
지 44
 
4.5%
로 42
 
4.3%
부 33
 
3.4%
마 30
 
3.1%
근 28
 
2.9%
원 27
 
2.8%
생 24
 
2.5%
태 24
 
2.5%
Other values (145) 628
64.5%
Common
ValueCountFrequency (%)
231
61.3%
5 24
 
6.4%
1 20
 
5.3%
) 17
 
4.5%
( 17
 
4.5%
4 15
 
4.0%
6 14
 
3.7%
2 13
 
3.4%
- 12
 
3.2%
, 6
 
1.6%
Other values (4) 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 974
72.1%
ASCII 377
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
231
61.3%
5 24
 
6.4%
1 20
 
5.3%
) 17
 
4.5%
( 17
 
4.5%
4 15
 
4.0%
6 14
 
3.7%
2 13
 
3.4%
- 12
 
3.2%
, 6
 
1.6%
Other values (4) 8
 
2.1%
Hangul
ValueCountFrequency (%)
주 48
 
4.9%
소 46
 
4.7%
지 44
 
4.5%
로 42
 
4.3%
부 33
 
3.4%
마 30
 
3.1%
근 28
 
2.9%
원 27
 
2.8%
생 24
 
2.5%
태 24
 
2.5%
Other values (145) 628
64.5%

발견주소
Text

Distinct108
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:30:38.785468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.954839
Min length12

Characters and Unicode

Total characters3248
Distinct characters93
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

Unique93 ?
Unique (%)60.0%

Sample

1st row충청남도 서천군 서면 부사리 564
2nd row충청남도 서천군 서면 부사리 564
3rd row충청남도 서천군 마산면 신장리 371-1
4th row충청남도 서천군 마산면 신장리 371-1
5th row충청남도 서천군 마산면 신장리 371-1
ValueCountFrequency (%)
충청남도 155
20.3%
서천군 155
20.3%
서천읍 40
 
5.2%
마서면 27
 
3.5%
군사리 25
 
3.3%
마산면 17
 
2.2%
장항읍 15
 
2.0%
서면 13
 
1.7%
화양면 13
 
1.7%
비인면 12
 
1.6%
Other values (173) 293
38.3%
2024-01-10T07:30:39.230017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
620
19.1%
서 236
 
7.3%
천 200
 
6.2%
군 183
 
5.6%
도 163
 
5.0%
남 158
 
4.9%
청 158
 
4.9%
충 155
 
4.8%
리 145
 
4.5%
1 108
 
3.3%
Other values (83) 1122
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1995
61.4%
Space Separator 620
 
19.1%
Decimal Number 529
 
16.3%
Dash Punctuation 104
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 236
11.8%
천 200
10.0%
군 183
9.2%
도 163
 
8.2%
남 158
 
7.9%
청 158
 
7.9%
충 155
 
7.8%
리 145
 
7.3%
면 100
 
5.0%
읍 55
 
2.8%
Other values (71) 442
22.2%
Decimal Number
ValueCountFrequency (%)
1 108
20.4%
3 77
14.6%
4 62
11.7%
7 59
11.2%
5 56
10.6%
2 54
10.2%
8 35
 
6.6%
9 29
 
5.5%
6 28
 
5.3%
0 21
 
4.0%
Space Separator
ValueCountFrequency (%)
620
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1995
61.4%
Common 1253
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 236
11.8%
천 200
10.0%
군 183
9.2%
도 163
 
8.2%
남 158
 
7.9%
청 158
 
7.9%
충 155
 
7.8%
리 145
 
7.3%
면 100
 
5.0%
읍 55
 
2.8%
Other values (71) 442
22.2%
Common
ValueCountFrequency (%)
620
49.5%
1 108
 
8.6%
- 104
 
8.3%
3 77
 
6.1%
4 62
 
4.9%
7 59
 
4.7%
5 56
 
4.5%
2 54
 
4.3%
8 35
 
2.8%
9 29
 
2.3%
Other values (2) 49
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1995
61.4%
ASCII 1253
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
620
49.5%
1 108
 
8.6%
- 104
 
8.3%
3 77
 
6.1%
4 62
 
4.9%
7 59
 
4.7%
5 56
 
4.5%
2 54
 
4.3%
8 35
 
2.8%
9 29
 
2.3%
Other values (2) 49
 
3.9%
Hangul
ValueCountFrequency (%)
서 236
11.8%
천 200
10.0%
군 183
9.2%
도 163
 
8.2%
남 158
 
7.9%
청 158
 
7.9%
충 155
 
7.8%
리 145
 
7.3%
면 100
 
5.0%
읍 55
 
2.8%
Other values (71) 442
22.2%

발견장소특징
Categorical

Distinct6
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
건물옆
64 
농경지
34 
도로변
29 
숲
16 
기타
10 

Length

Max length5
Median length3
Mean length2.7548387
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 64
41.3%
농경지 34
21.9%
도로변 29
18.7%
숲 16
 
10.3%
기타 10
 
6.5%
강, 바다 2
 
1.3%

Length

2024-01-10T07:30:39.377125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:30:39.501098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 64
40.8%
농경지 34
21.7%
도로변 29
18.5%
숲 16
 
10.2%
기타 10
 
6.4%
강 2
 
1.3%
바다 2
 
1.3%

발생원인
Categorical

Distinct20
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
어미를 잃음(미아)
44 
전선/건물과의 충돌
24 
차량과의 충돌
23 
기생충 중감염
15 
알 수 없는 사고
7 
Other values (15)
42 

Length

Max length11
Median length10
Mean length8.1032258
Min length1

Unique

Unique3 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 44
28.4%
전선/건물과의 충돌 24
15.5%
차량과의 충돌 23
14.8%
기생충 중감염 15
 
9.7%
알 수 없는 사고 7
 
4.5%
개, 고양이 공격 5
 
3.2%
기아 및 탈진 5
 
3.2%
총상 4
 
2.6%
끈끈이 4
 
2.6%
중독사고(농약) 3
 
1.9%
Other values (10) 21
13.5%

Length

2024-01-10T07:30:39.615033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 47
14.9%
어미를 44
13.9%
잃음(미아 44
13.9%
전선/건물과의 24
 
7.6%
차량과의 23
 
7.3%
기생충 15
 
4.7%
중감염 15
 
4.7%
사고 9
 
2.8%
없는 7
 
2.2%
수 7
 
2.2%
Other values (26) 81
25.6%

발생원인 세부사항
Text

Distinct75
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:30:39.872165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length10.451613
Min length1

Characters and Unicode

Total characters1620
Distinct characters150
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)33.5%

Sample

1st row총상
2nd row총상
3rd row어미를 잃음
4th row어미를 잃음
5th row어미를 잃음
ValueCountFrequency (%)
어미를 37
 
8.7%
충돌 36
 
8.5%
추정 28
 
6.6%
차량과의 16
 
3.8%
잃음(미아 16
 
3.8%
잃음 12
 
2.8%
기생충 11
 
2.6%
차량충돌 9
 
2.1%
중감염/개선충 9
 
2.1%
소실 8
 
1.9%
Other values (112) 241
57.0%
2024-01-10T07:30:40.286035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
275
 
17.0%
충 82
 
5.1%
미 67
 
4.1%
돌 55
 
3.4%
음 41
 
2.5%
어 39
 
2.4%
를 38
 
2.3%
아 37
 
2.3%
잃 36
 
2.2%
추 35
 
2.2%
Other values (140) 915
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1240
76.5%
Space Separator 275
 
17.0%
Other Punctuation 41
 
2.5%
Close Punctuation 32
 
2.0%
Open Punctuation 32
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 82
 
6.6%
미 67
 
5.4%
돌 55
 
4.4%
음 41
 
3.3%
어 39
 
3.1%
를 38
 
3.1%
아 37
 
3.0%
잃 36
 
2.9%
추 35
 
2.8%
선 34
 
2.7%
Other values (135) 776
62.6%
Other Punctuation
ValueCountFrequency (%)
/ 35
85.4%
, 6
 
14.6%
Space Separator
ValueCountFrequency (%)
275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1240
76.5%
Common 380
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 82
 
6.6%
미 67
 
5.4%
돌 55
 
4.4%
음 41
 
3.3%
어 39
 
3.1%
를 38
 
3.1%
아 37
 
3.0%
잃 36
 
2.9%
추 35
 
2.8%
선 34
 
2.7%
Other values (135) 776
62.6%
Common
ValueCountFrequency (%)
275
72.4%
/ 35
 
9.2%
) 32
 
8.4%
( 32
 
8.4%
, 6
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1240
76.5%
ASCII 380
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
275
72.4%
/ 35
 
9.2%
) 32
 
8.4%
( 32
 
8.4%
, 6
 
1.6%
Hangul
ValueCountFrequency (%)
충 82
 
6.6%
미 67
 
5.4%
돌 55
 
4.4%
음 41
 
3.3%
어 39
 
3.1%
를 38
 
3.1%
아 37
 
3.0%
잃 36
 
2.9%
추 35
 
2.8%
선 34
 
2.7%
Other values (135) 776
62.6%

구조위도(TM구조위도)
Text

Distinct112
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:30:40.539137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1550
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

Unique98 ?
Unique (%)63.2%

Sample

1st row36 11 02.6
2nd row36 10 58.6
3rd row36 07 12.1
4th row36 07 12.1
5th row36 07 12.1
ValueCountFrequency (%)
36 153
32.9%
04 37
 
8.0%
01 27
 
5.8%
07 20
 
4.3%
09 12
 
2.6%
00 12
 
2.6%
03 12
 
2.6%
12.1 11
 
2.4%
02 10
 
2.2%
08 9
 
1.9%
Other values (105) 162
34.8%
2024-01-10T07:30:40.904833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
20.0%
0 220
14.2%
3 199
12.8%
6 195
12.6%
. 155
10.0%
4 112
 
7.2%
1 102
 
6.6%
2 77
 
5.0%
8 59
 
3.8%
5 46
 
3.0%
Other values (2) 75
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1085
70.0%
Space Separator 310
 
20.0%
Other Punctuation 155
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 220
20.3%
3 199
18.3%
6 195
18.0%
4 112
10.3%
1 102
9.4%
2 77
 
7.1%
8 59
 
5.4%
5 46
 
4.2%
7 38
 
3.5%
9 37
 
3.4%
Space Separator
ValueCountFrequency (%)
310
100.0%
Other Punctuation
ValueCountFrequency (%)
. 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
310
20.0%
0 220
14.2%
3 199
12.8%
6 195
12.6%
. 155
10.0%
4 112
 
7.2%
1 102
 
6.6%
2 77
 
5.0%
8 59
 
3.8%
5 46
 
3.0%
Other values (2) 75
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
20.0%
0 220
14.2%
3 199
12.8%
6 195
12.6%
. 155
10.0%
4 112
 
7.2%
1 102
 
6.6%
2 77
 
5.0%
8 59
 
3.8%
5 46
 
3.0%
Other values (2) 75
 
4.8%

구조경도(TM구조경도)
Text

Distinct110
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:30:41.153920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1705
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

Unique94 ?
Unique (%)60.6%

Sample

1st row126 32 58.6
2nd row126 32 51.3
3rd row126 47 33.2
4th row126 47 33.2
5th row126 47 33.2
ValueCountFrequency (%)
126 152
32.7%
41 32
 
6.9%
40 17
 
3.7%
43 16
 
3.4%
47 16
 
3.4%
44 13
 
2.8%
42 13
 
2.8%
33.2 11
 
2.4%
52.1 8
 
1.7%
36 7
 
1.5%
Other values (113) 180
38.7%
2024-01-10T07:30:41.537395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
310
18.2%
1 255
15.0%
2 240
14.1%
6 187
11.0%
4 168
9.9%
. 155
9.1%
3 137
8.0%
0 88
 
5.2%
5 58
 
3.4%
7 49
 
2.9%
Other values (2) 58
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1240
72.7%
Space Separator 310
 
18.2%
Other Punctuation 155
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 255
20.6%
2 240
19.4%
6 187
15.1%
4 168
13.5%
3 137
11.0%
0 88
 
7.1%
5 58
 
4.7%
7 49
 
4.0%
8 35
 
2.8%
9 23
 
1.9%
Space Separator
ValueCountFrequency (%)
310
100.0%
Other Punctuation
ValueCountFrequency (%)
. 155
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1705
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
310
18.2%
1 255
15.0%
2 240
14.1%
6 187
11.0%
4 168
9.9%
. 155
9.1%
3 137
8.0%
0 88
 
5.2%
5 58
 
3.4%
7 49
 
2.9%
Other values (2) 58
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1705
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
310
18.2%
1 255
15.0%
2 240
14.1%
6 187
11.0%
4 168
9.9%
. 155
9.1%
3 137
8.0%
0 88
 
5.2%
5 58
 
3.4%
7 49
 
2.9%
Other values (2) 58
 
3.4%

방생위도(TM방생위도)
Text

MISSING 

Distinct29
Distinct (%)59.2%
Missing106
Missing (%)68.4%
Memory size1.3 KiB
2024-01-10T07:30:41.709810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters490
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

Unique24 ?
Unique (%)49.0%

Sample

1st row36 36 46.8
2nd row36 36 46.8
3rd row36 36 46.8
4th row36 36 46.8
5th row36 36 46.8
ValueCountFrequency (%)
36 58
39.5%
07 9
 
6.1%
46.8 9
 
6.1%
34.2 8
 
5.4%
01 6
 
4.1%
20.2 3
 
2.0%
04 3
 
2.0%
32 3
 
2.0%
57.7 3
 
2.0%
27 3
 
2.0%
Other values (37) 42
28.6%
2024-01-10T07:30:41.970755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
20.0%
3 81
16.5%
6 72
14.7%
. 49
10.0%
4 46
9.4%
0 40
8.2%
2 29
 
5.9%
7 24
 
4.9%
8 20
 
4.1%
5 15
 
3.1%
Other values (2) 16
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 343
70.0%
Space Separator 98
 
20.0%
Other Punctuation 49
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 81
23.6%
6 72
21.0%
4 46
13.4%
0 40
11.7%
2 29
 
8.5%
7 24
 
7.0%
8 20
 
5.8%
5 15
 
4.4%
1 12
 
3.5%
9 4
 
1.2%
Space Separator
ValueCountFrequency (%)
98
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 490
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
98
20.0%
3 81
16.5%
6 72
14.7%
. 49
10.0%
4 46
9.4%
0 40
8.2%
2 29
 
5.9%
7 24
 
4.9%
8 20
 
4.1%
5 15
 
3.1%
Other values (2) 16
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 490
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
20.0%
3 81
16.5%
6 72
14.7%
. 49
10.0%
4 46
9.4%
0 40
8.2%
2 29
 
5.9%
7 24
 
4.9%
8 20
 
4.1%
5 15
 
3.1%
Other values (2) 16
 
3.3%

방생경도(TM방생경도)
Text

MISSING 

Distinct30
Distinct (%)61.2%
Missing106
Missing (%)68.4%
Memory size1.3 KiB
2024-01-10T07:30:42.129041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters539
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

Unique26 ?
Unique (%)53.1%

Sample

1st row126 48 48.6
2nd row126 48 48.6
3rd row126 48 48.6
4th row126 48 48.6
5th row126 48 48.6
ValueCountFrequency (%)
126 45
30.6%
43 15
 
10.2%
48 13
 
8.8%
48.6 9
 
6.1%
26.6 8
 
5.4%
127 4
 
2.7%
41 4
 
2.7%
18 3
 
2.0%
09.8 3
 
2.0%
43.2 3
 
2.0%
Other values (35) 40
27.2%
2024-01-10T07:30:42.399031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
98
18.2%
6 77
14.3%
2 73
13.5%
1 70
13.0%
4 61
11.3%
. 49
9.1%
8 35
 
6.5%
3 34
 
6.3%
0 14
 
2.6%
7 10
 
1.9%
Other values (2) 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 392
72.7%
Space Separator 98
 
18.2%
Other Punctuation 49
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 77
19.6%
2 73
18.6%
1 70
17.9%
4 61
15.6%
8 35
8.9%
3 34
8.7%
0 14
 
3.6%
7 10
 
2.6%
9 9
 
2.3%
5 9
 
2.3%
Space Separator
ValueCountFrequency (%)
98
100.0%
Other Punctuation
ValueCountFrequency (%)
. 49
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 539
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
98
18.2%
6 77
14.3%
2 73
13.5%
1 70
13.0%
4 61
11.3%
. 49
9.1%
8 35
 
6.5%
3 34
 
6.3%
0 14
 
2.6%
7 10
 
1.9%
Other values (2) 18
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 539
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
98
18.2%
6 77
14.3%
2 73
13.5%
1 70
13.0%
4 61
11.3%
. 49
9.1%
8 35
 
6.5%
3 34
 
6.3%
0 14
 
2.6%
7 10
 
1.9%
Other values (2) 18
 
3.3%

등록체중
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2529.3806
Minimum0
Maximum19380
Zeros21
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:42.557445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median398
Q32820
95-th percentile15172
Maximum19380
Range19380
Interquartile range (IQR)2757

Descriptive statistics

Standard deviation4763.0571
Coefficient of variation (CV)1.8830923
Kurtosis4.4698155
Mean2529.3806
Median Absolute Deviation (MAD)398
Skewness2.3603229
Sum392054
Variance22686713
MonotonicityNot monotonic
2024-01-10T07:30:42.700663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
13.5%
16 12
 
7.7%
304 2
 
1.3%
121 2
 
1.3%
16520 2
 
1.3%
80 1
 
0.6%
1864 1
 
0.6%
54 1
 
0.6%
70 1
 
0.6%
430 1
 
0.6%
Other values (111) 111
71.6%
ValueCountFrequency (%)
0 21
13.5%
12 1
 
0.6%
15 1
 
0.6%
16 12
7.7%
18 1
 
0.6%
19 1
 
0.6%
54 1
 
0.6%
62 1
 
0.6%
64 1
 
0.6%
70 1
 
0.6%
ValueCountFrequency (%)
19380 1
0.6%
18760 1
0.6%
18560 1
0.6%
18480 1
0.6%
17850 1
0.6%
16520 2
1.3%
15340 1
0.6%
15100 1
0.6%
15060 1
0.6%
14600 1
0.6%

현재체중
Real number (ℝ)

ZEROS 

Distinct117
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2853.2774
Minimum0
Maximum19380
Zeros21
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-01-10T07:30:42.846129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1148
median582
Q33220
95-th percentile15172
Maximum19380
Range19380
Interquartile range (IQR)3072

Descriptive statistics

Standard deviation4751.6404
Coefficient of variation (CV)1.6653272
Kurtosis3.9025194
Mean2853.2774
Median Absolute Deviation (MAD)582
Skewness2.192564
Sum442258
Variance22578087
MonotonicityNot monotonic
2024-01-10T07:30:43.303784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 21
 
13.5%
208 9
 
5.8%
3300 3
 
1.9%
304 2
 
1.3%
212 2
 
1.3%
15 2
 
1.3%
5680 2
 
1.3%
16520 2
 
1.3%
64 2
 
1.3%
4420 2
 
1.3%
Other values (107) 108
69.7%
ValueCountFrequency (%)
0 21
13.5%
12 2
 
1.3%
15 2
 
1.3%
16 1
 
0.6%
19 1
 
0.6%
50 1
 
0.6%
54 1
 
0.6%
64 2
 
1.3%
69 1
 
0.6%
78 1
 
0.6%
ValueCountFrequency (%)
19380 1
0.6%
18760 1
0.6%
18560 1
0.6%
18480 1
0.6%
17850 1
0.6%
16520 2
1.3%
15340 1
0.6%
15100 1
0.6%
15060 1
0.6%
14600 1
0.6%

임상적최종진단
Text

Distinct110
Distinct (%)71.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-01-10T07:30:43.621570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length15.135484
Min length2

Characters and Unicode

Total characters2346
Distinct characters226
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique100 ?
Unique (%)64.5%

Sample

1st row우측 날개 proximal phalanx(2nd digit) 개방골절
2nd row총상에 의한 좌측 완전골, 우측 척골, 우측 경비골 골절
3rd row인공부화 개체, splayed legs
4th row인공부화 개체, splayed legs
5th row인공부화 개체, splayed legs
ValueCountFrequency (%)
및 35
 
5.3%
의한 34
 
5.1%
좌측 26
 
3.9%
우측 25
 
3.8%
골절 24
 
3.6%
개체 23
 
3.5%
미아 22
 
3.3%
충돌에 21
 
3.2%
개방골절 16
 
2.4%
개선충 15
 
2.3%
Other values (203) 420
63.5%
2024-01-10T07:30:44.089453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
506
 
21.6%
골 92
 
3.9%
절 69
 
2.9%
개 66
 
2.8%
측 57
 
2.4%
한 50
 
2.1%
충 41
 
1.7%
의 39
 
1.7%
에 36
 
1.5%
및 35
 
1.5%
Other values (216) 1355
57.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1575
67.1%
Space Separator 506
 
21.6%
Lowercase Letter 176
 
7.5%
Other Punctuation 48
 
2.0%
Uppercase Letter 12
 
0.5%
Decimal Number 10
 
0.4%
Open Punctuation 9
 
0.4%
Close Punctuation 9
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 92
 
5.8%
절 69
 
4.4%
개 66
 
4.2%
측 57
 
3.6%
한 50
 
3.2%
충 41
 
2.6%
의 39
 
2.5%
에 36
 
2.3%
및 35
 
2.2%
부 34
 
2.2%
Other values (181) 1056
67.0%
Lowercase Letter
ValueCountFrequency (%)
l 27
15.3%
e 24
13.6%
s 23
13.1%
a 17
9.7%
d 15
8.5%
p 14
8.0%
g 13
7.4%
y 11
6.2%
t 6
 
3.4%
i 5
 
2.8%
Other values (9) 21
11.9%
Uppercase Letter
ValueCountFrequency (%)
L 7
58.3%
R 2
 
16.7%
T 1
 
8.3%
C 1
 
8.3%
S 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
2 6
60.0%
3 2
 
20.0%
1 1
 
10.0%
6 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 35
72.9%
/ 8
 
16.7%
. 5
 
10.4%
Space Separator
ValueCountFrequency (%)
506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1575
67.1%
Common 583
 
24.9%
Latin 188
 
8.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 92
 
5.8%
절 69
 
4.4%
개 66
 
4.2%
측 57
 
3.6%
한 50
 
3.2%
충 41
 
2.6%
의 39
 
2.5%
에 36
 
2.3%
및 35
 
2.2%
부 34
 
2.2%
Other values (181) 1056
67.0%
Latin
ValueCountFrequency (%)
l 27
14.4%
e 24
12.8%
s 23
12.2%
a 17
9.0%
d 15
8.0%
p 14
7.4%
g 13
6.9%
y 11
 
5.9%
L 7
 
3.7%
t 6
 
3.2%
Other values (14) 31
16.5%
Common
ValueCountFrequency (%)
506
86.8%
, 35
 
6.0%
( 9
 
1.5%
) 9
 
1.5%
/ 8
 
1.4%
2 6
 
1.0%
. 5
 
0.9%
3 2
 
0.3%
1 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1575
67.1%
ASCII 771
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
506
65.6%
, 35
 
4.5%
l 27
 
3.5%
e 24
 
3.1%
s 23
 
3.0%
a 17
 
2.2%
d 15
 
1.9%
p 14
 
1.8%
g 13
 
1.7%
y 11
 
1.4%
Other values (25) 86
 
11.2%
Hangul
ValueCountFrequency (%)
골 92
 
5.8%
절 69
 
4.4%
개 66
 
4.2%
측 57
 
3.6%
한 50
 
3.2%
충 41
 
2.6%
의 39
 
2.5%
에 36
 
2.3%
및 35
 
2.2%
부 34
 
2.2%
Other values (181) 1056
67.0%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0023쇠기러기조강(Aves)기러기목오리과해당없음해당없음해당없음2019-01-092019-01-092019-01-092019-01-31안락사<NA>기타UnknownAdult36.184056126.5496110<NA><NA>부사호 주변 농경지, 주소 정확하지 않음충청남도 서천군 서면 부사리 564농경지총상총상36 11 02.6126 32 58.6<NA><NA>22982038우측 날개 proximal phalanx(2nd digit) 개방골절
12019-0022큰기러기조강(Aves)기러기목오리과해당없음2 급해당없음<NA><NA>2019-01-082019-01-09폐사체<NA>기타UnknownAdult36.182944126.5475830<NA><NA>부사호 주변 농경지, 주소 정확하지 않음충청남도 서천군 서면 부사리 564농경지총상총상36 10 58.6126 32 51.3<NA><NA>31083108총상에 의한 좌측 완전골, 우측 척골, 우측 경비골 골절
22019-0560꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-262019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
32019-0561꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
42019-0562꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
52019-0563꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
62019-0564꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
72019-0565꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
82019-0566꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
92019-0567꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-05-272019-07-23방생충청남도 예산군 대흥면 대야리 산 12-11<NA>UnknownNestling36.120028126.7925563036.613151126.813724(한마로 456-51) 마산면문화활력소 부근충청남도 서천군 마산면 신장리 371-1숲어미를 잃음(미아)어미를 잃음36 07 12.1126 47 33.236 36 46.8126 48 48.616208인공부화 개체, splayed legs
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
1452021-0641너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-05-162021-11-11방생충청남도 서천군 문산면 문장리 산 56-7<NA>Female0년0월3일36.032444126.747806636.126273126.72418농경지충청남도 서천군 화양면 망월리 454-1농경지어미를 잃음(미아)어미를 잃음(미아)/개발에 따른 서식지 소실36 01 56.8126 44 52.136 07 34.2126 43 26.61354420어미와 함께 발견된 어린 개체
1462021-0642너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-05-162021-11-11방생충청남도 서천군 문산면 문장리 산 56-7<NA>Female0년0월3일36.032444126.747806636.126273126.72418농경지충청남도 서천군 화양면 망월리 454-1농경지어미를 잃음(미아)어미를 잃음(미아)/개발에 따른 서식지 소실36 01 56.8126 44 52.136 07 34.2126 43 26.61215440어미와 함께 발견된 어린 개체
1472021-1115너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-06-222021-06-22DOA<NA>기타Male0년0월0일36.09126.6556399<NA><NA>세부주소 부족충청남도 서천군 종천면 장구리건물옆기생충 중감염기생충 중감염/개선충증36 05 24.0126 39 20.3<NA><NA>34203420개선충 중감염
1482021-1582너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-08-282021-08-28안락사<NA>기타Female0년0월0일36.141806126.60113920<NA><NA>도로변충청남도 서천군 비인면 성내리 308-2도로변차량과의 충돌차량과의 충돌36 08 30.5126 36 04.1<NA><NA>31203120차량과의 충돌에 의한 골반 골절
1492021-1835너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-10-312021-11-01DOA<NA>기타Unknown0년0월0일36.120944126.60755610<NA><NA>도로옆 농경지 수로충청남도 서천군 비인면 장포리 277-3농경지개, 고양이 공격개, 고양이 공격36 07 15.4126 36 27.2<NA><NA>51405140우측상완, 좌측경비골 골절 /안면부 교상
1502021-1994너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-022021-12-03폐사체<NA>기타Male0년7월0일36.05675126.83333311<NA><NA>주소지 부근 논 위충청남도 서천군 화양면 죽산리 31농경지개, 고양이 공격개, 고양이 공격/개 공격 추정36 03 24.3126 50 00.0<NA><NA>52005200견교상
1512021-2005너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-062021-12-06폐사체<NA>기타Male0년0월0일36.080111126.66897219<NA><NA>신송교회충청남도 서천군 서천읍 신송리 287-27건물옆기생충 중감염기생충 중감염/개선충36 04 48.4126 40 08.3<NA><NA>33003300개선충 중감염
1522021-2021너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-112021-12-11DOA<NA>기타Female0년8월0일36.104944126.67205623<NA><NA>밭충청남도 서천군 종천면 산천리 385농경지기생충 중감염기생충 중감염/개선충36 06 17.8126 40 19.4<NA><NA>00개선충 중감염
1532021-2067너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-242021-12-24폐사체<NA>기타Female0년7월0일36.119944126.78841<NA><NA>농경지, 산지 경계 부근충청남도 서천군 마산면 삼월리 167-1숲알 수 없는 사고알 수 없는 사고36 07 11.8126 47 16.8<NA><NA>37303730옆구리에 가해진 충격에 의한 장기 및 조직 손상
1542021-0861삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-06-032021-11-09방생충청남도 서산시 부석면 지산리 1372<NA>Male0년2월0일36.100944126.6855282836.697477126.435866<NA>충청남도 서천군 서천읍 오석리 506-1농경지어미를 잃음(미아)어미를 잃음(미아)36 06 03.4126 41 07.936 41 50.8126 26 09.04201220단순미아