Overview

Dataset statistics

Number of variables34
Number of observations127
Missing cells715
Missing cells (%)16.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory34.7 KiB
Average record size in memory280.0 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 부여군 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=68&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109270

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (57.9%)Imbalance
멸종위기등급 is highly imbalanced (54.0%)Imbalance
발견일시 has 126 (99.2%) missing valuesMissing
접수일시 has 126 (99.2%) missing valuesMissing
이첩 방생 위치 has 89 (70.1%) missing valuesMissing
방생위도 has 89 (70.1%) missing valuesMissing
방생경도 has 89 (70.1%) missing valuesMissing
발견장소상세 has 16 (12.6%) missing valuesMissing
방생위도(TM방생위도) has 89 (70.1%) missing valuesMissing
방생경도(TM방생경도) has 89 (70.1%) missing valuesMissing
접수번호 has unique valuesUnique
등록체중 has 16 (12.6%) zerosZeros
현재체중 has 18 (14.2%) zerosZeros

Reproduction

Analysis started2024-01-09 20:19:47.559657
Analysis finished2024-01-09 20:19:48.124547
Duration0.56 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct127
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:19:48.324621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters1143
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

Unique127 ?
Unique (%)100.0%

Sample

1st row2019-1491
2nd row2019-0185
3rd row2019-1492
4th row2019-1567
5th row2019-1568
ValueCountFrequency (%)
2019-1491 1
 
0.8%
2021-1454 1
 
0.8%
2021-1802 1
 
0.8%
2021-1735 1
 
0.8%
2021-1600 1
 
0.8%
2021-1565 1
 
0.8%
2021-1536 1
 
0.8%
2021-0897 1
 
0.8%
2021-0713 1
 
0.8%
2021-1476 1
 
0.8%
Other values (117) 117
92.1%
2024-01-10T05:19:48.693364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 275
24.1%
0 249
21.8%
1 200
17.5%
- 127
11.1%
9 67
 
5.9%
7 46
 
4.0%
5 41
 
3.6%
4 40
 
3.5%
8 38
 
3.3%
3 30
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1016
88.9%
Dash Punctuation 127
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 275
27.1%
0 249
24.5%
1 200
19.7%
9 67
 
6.6%
7 46
 
4.5%
5 41
 
4.0%
4 40
 
3.9%
8 38
 
3.7%
3 30
 
3.0%
6 30
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 275
24.1%
0 249
21.8%
1 200
17.5%
- 127
11.1%
9 67
 
5.9%
7 46
 
4.0%
5 41
 
3.6%
4 40
 
3.5%
8 38
 
3.3%
3 30
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 275
24.1%
0 249
21.8%
1 200
17.5%
- 127
11.1%
9 67
 
5.9%
7 46
 
4.0%
5 41
 
3.6%
4 40
 
3.5%
8 38
 
3.3%
3 30
 
2.6%

동물국문명
Categorical

Distinct31
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
고라니
28 
너구리
19 
수리부엉이
12 
물까치
10 
멧비둘기
8 
Other values (26)
50 

Length

Max length5
Median length3
Mean length3.2598425
Min length1

Unique

Unique13 ?
Unique (%)10.2%

Sample

1st row꿩
2nd row멧비둘기
3rd row멧비둘기
4th row멧비둘기
5th row멧비둘기

Common Values

ValueCountFrequency (%)
고라니 28
22.0%
너구리 19
15.0%
수리부엉이 12
 
9.4%
물까치 10
 
7.9%
멧비둘기 8
 
6.3%
황조롱이 6
 
4.7%
올빼미 4
 
3.1%
참새 4
 
3.1%
까치 3
 
2.4%
말똥가리 3
 
2.4%
Other values (21) 30
23.6%

Length

2024-01-10T05:19:48.824454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 28
22.0%
너구리 19
15.0%
수리부엉이 12
 
9.4%
물까치 10
 
7.9%
멧비둘기 8
 
6.3%
황조롱이 6
 
4.7%
올빼미 4
 
3.1%
참새 4
 
3.1%
까치 3
 
2.4%
말똥가리 3
 
2.4%
Other values (21) 30
23.6%

강
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
조강(Aves)
74 
포유강(Mammalia)
53 

Length

Max length13
Median length8
Mean length10.086614
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) 74
58.3%
포유강(Mammalia) 53
41.7%

Length

2024-01-10T05:19:48.940847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:49.024895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 74
58.3%
포유강(mammalia 53
41.7%

목
Categorical

Distinct12
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
소목
28 
식육목
23 
참새목
21 
올빼미목
20 
매목
13 
Other values (7)
22 

Length

Max length4
Median length3
Mean length2.9291339
Min length2

Unique

Unique3 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
소목 28
22.0%
식육목 23
18.1%
참새목 21
16.5%
올빼미목 20
15.7%
매목 13
10.2%
비둘기목 8
 
6.3%
황새목 5
 
3.9%
파랑새목 4
 
3.1%
박쥐목 2
 
1.6%
닭목 1
 
0.8%
Other values (2) 2
 
1.6%

Length

2024-01-10T05:19:49.128006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 28
22.0%
식육목 23
18.1%
참새목 21
16.5%
올빼미목 20
15.7%
매목 13
10.2%
비둘기목 8
 
6.3%
황새목 5
 
3.9%
파랑새목 4
 
3.1%
박쥐목 2
 
1.6%
닭목 1
 
0.8%
Other values (2) 2
 
1.6%

과
Categorical

Distinct20
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
사슴과
28 
올빼미과
20 
개과
19 
까마귀과
13 
비둘기과
8 
Other values (15)
39 

Length

Max length5
Median length4
Mean length3.2755906
Min length2

Unique

Unique6 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 28
22.0%
올빼미과 20
15.7%
개과 19
15.0%
까마귀과 13
10.2%
비둘기과 8
 
6.3%
수리과 7
 
5.5%
매과 6
 
4.7%
왜가리과 5
 
3.9%
참새과 4
 
3.1%
파랑새과 3
 
2.4%
Other values (10) 14
11.0%

Length

2024-01-10T05:19:49.248220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 28
22.0%
올빼미과 20
15.7%
개과 19
15.0%
까마귀과 13
10.2%
비둘기과 8
 
6.3%
수리과 7
 
5.5%
매과 6
 
4.7%
왜가리과 5
 
3.9%
참새과 4
 
3.1%
파랑새과 3
 
2.4%
Other values (10) 14
11.0%

천연기념물
Categorical

IMBALANCE 

Distinct11
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
해당없음
96 
324-2
12 
323-8
 
6
324-1
 
4
324-6
 
2
Other values (6)
 
7

Length

Max length5
Median length4
Mean length4.2125984
Min length3

Unique

Unique5 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 96
75.6%
324-2 12
 
9.4%
323-8 6
 
4.7%
324-1 4
 
3.1%
324-6 2
 
1.6%
324-3 2
 
1.6%
327 1
 
0.8%
243-1 1
 
0.8%
323-4 1
 
0.8%
323-1 1
 
0.8%

Length

2024-01-10T05:19:49.365931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 96
75.6%
324-2 12
 
9.4%
323-8 6
 
4.7%
324-1 4
 
3.1%
324-6 2
 
1.6%
324-3 2
 
1.6%
327 1
 
0.8%
243-1 1
 
0.8%
323-4 1
 
0.8%
323-1 1
 
0.8%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
해당없음
104 
2 급
22 
1 급
 
1

Length

Max length4
Median length4
Mean length3.8188976
Min length3

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 104
81.9%
2 급 22
 
17.3%
1 급 1
 
0.8%

Length

2024-01-10T05:19:49.521979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:49.621090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 104
69.3%
급 23
 
15.3%
2 22
 
14.7%
1 1
 
0.7%

야생동물보호협약
Categorical

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
해당없음
91 
부속서 2종
35 
부속서 1종
 
1

Length

Max length6
Median length4
Mean length4.5669291
Min length4

Unique

Unique1 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 91
71.7%
부속서 2종 35
 
27.6%
부속서 1종 1
 
0.8%

Length

2024-01-10T05:19:49.741192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:49.849359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 91
55.8%
부속서 36
 
22.1%
2종 35
 
21.5%
1종 1
 
0.6%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing126
Missing (%)99.2%
Memory size1.1 KiB
Minimum2019-10-05 00:00:00
Maximum2019-10-05 00:00:00
2024-01-10T05:19:49.924477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:19:50.012854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing126
Missing (%)99.2%
Memory size1.1 KiB
Minimum2019-10-05 00:00:00
Maximum2019-10-05 00:00:00
2024-01-10T05:19:50.100658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:19:50.184557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct106
Distinct (%)83.5%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2019-01-24 00:00:00
Maximum2021-12-18 00:00:00
2024-01-10T05:19:50.295936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:19:50.699192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct108
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2019-01-24 00:00:00
Maximum2022-02-22 00:00:00
2024-01-10T05:19:50.849708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:19:50.998266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
방생
38 
안락사
30 
DOA
26 
폐사체
17 
폐사
16 

Length

Max length3
Median length3
Mean length2.5748031
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 38
29.9%
안락사 30
23.6%
DOA 26
20.5%
폐사체 17
13.4%
폐사 16
12.6%

Length

2024-01-10T05:19:51.139769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:51.252090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 38
29.9%
안락사 30
23.6%
doa 26
20.5%
폐사체 17
13.4%
폐사 16
12.6%

이첩 방생 위치
Text

MISSING 

Distinct28
Distinct (%)73.7%
Missing89
Missing (%)70.1%
Memory size1.1 KiB
2024-01-10T05:19:51.441265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length21.526316
Min length18

Characters and Unicode

Total characters818
Distinct characters76
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

Unique24 ?
Unique (%)63.2%

Sample

1st row충청남도 예산군 예산읍 향천리 54
2nd row충청남도 예산군 예산읍 향천리 54
3rd row충청남도 부여군 내산면 천보리 산7
4th row충청남도 부여군 내산면 천보리 산7
5th row충청남도 부여군 내산면 천보리 산7
ValueCountFrequency (%)
충청남도 38
19.2%
부여군 17
 
8.6%
예산군 10
 
5.1%
산 9
 
4.5%
부여읍 8
 
4.0%
성왕로328번길 7
 
3.5%
15 7
 
3.5%
예산읍 6
 
3.0%
아산시 4
 
2.0%
송악면 4
 
2.0%
Other values (69) 88
44.4%
2024-01-10T05:19:52.064395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
20.5%
산 43
 
5.3%
청 41
 
5.0%
도 39
 
4.8%
충 38
 
4.6%
남 38
 
4.6%
군 30
 
3.7%
리 30
 
3.7%
부 27
 
3.3%
여 25
 
3.1%
Other values (66) 339
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 515
63.0%
Space Separator 168
 
20.5%
Decimal Number 120
 
14.7%
Dash Punctuation 15
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 43
 
8.3%
청 41
 
8.0%
도 39
 
7.6%
충 38
 
7.4%
남 38
 
7.4%
군 30
 
5.8%
리 30
 
5.8%
부 27
 
5.2%
여 25
 
4.9%
면 21
 
4.1%
Other values (54) 183
35.5%
Decimal Number
ValueCountFrequency (%)
3 21
17.5%
1 21
17.5%
4 19
15.8%
5 16
13.3%
2 12
10.0%
7 10
8.3%
8 9
7.5%
6 5
 
4.2%
0 4
 
3.3%
9 3
 
2.5%
Space Separator
ValueCountFrequency (%)
168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 515
63.0%
Common 303
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 43
 
8.3%
청 41
 
8.0%
도 39
 
7.6%
충 38
 
7.4%
남 38
 
7.4%
군 30
 
5.8%
리 30
 
5.8%
부 27
 
5.2%
여 25
 
4.9%
면 21
 
4.1%
Other values (54) 183
35.5%
Common
ValueCountFrequency (%)
168
55.4%
3 21
 
6.9%
1 21
 
6.9%
4 19
 
6.3%
5 16
 
5.3%
- 15
 
5.0%
2 12
 
4.0%
7 10
 
3.3%
8 9
 
3.0%
6 5
 
1.7%
Other values (2) 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 515
63.0%
ASCII 303
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
55.4%
3 21
 
6.9%
1 21
 
6.9%
4 19
 
6.3%
5 16
 
5.3%
- 15
 
5.0%
2 12
 
4.0%
7 10
 
3.3%
8 9
 
3.0%
6 5
 
1.7%
Other values (2) 7
 
2.3%
Hangul
ValueCountFrequency (%)
산 43
 
8.3%
청 41
 
8.0%
도 39
 
7.6%
충 38
 
7.4%
남 38
 
7.4%
군 30
 
5.8%
리 30
 
5.8%
부 27
 
5.2%
여 25
 
4.9%
면 21
 
4.1%
Other values (54) 183
35.5%

사체처리
Categorical

Distinct2
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
기타
89 
<NA>
38 

Length

Max length4
Median length2
Mean length2.5984252
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 89
70.1%
<NA> 38
29.9%

Length

2024-01-10T05:19:52.235969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:52.350734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 89
70.1%
na 38
29.9%

동물성별
Categorical

Distinct5
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Unknown
75 
Male
25 
Female
23 
Male(?)
 
2
Female(?)
 
2

Length

Max length9
Median length7
Mean length6.2598425
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 75
59.1%
Male 25
 
19.7%
Female 23
 
18.1%
Male(?) 2
 
1.6%
Female(?) 2
 
1.6%

Length

2024-01-10T05:19:52.462921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:52.562543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 75
59.1%
male 27
 
21.3%
female 25
 
19.7%

동물연령
Categorical

Distinct17
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
0년0월0일
24 
Adult
23 
Unknown
19 
Nestling
18 
Juvenile
14 
Other values (12)
29 

Length

Max length8
Median length7
Mean length6.488189
Min length5

Unique

Unique5 ?
Unique (%)3.9%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 24
18.9%
Adult 23
18.1%
Unknown 19
15.0%
Nestling 18
14.2%
Juvenile 14
11.0%
0년1월0일 9
 
7.1%
0년3월0일 4
 
3.1%
0년2월0일 3
 
2.4%
0년7월0일 2
 
1.6%
1년0월0일 2
 
1.6%
Other values (7) 9
 
7.1%

Length

2024-01-10T05:19:52.681643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 24
18.9%
adult 23
18.1%
unknown 19
15.0%
nestling 18
14.2%
juvenile 14
11.0%
0년1월0일 9
 
7.1%
0년3월0일 4
 
3.1%
0년2월0일 3
 
2.4%
0년5월0일 2
 
1.6%
0년11월0일 2
 
1.6%
Other values (7) 9
 
7.1%

구조위도
Real number (ℝ)

Distinct105
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.262624
Minimum36.13725
Maximum36.355806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:52.819941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.13725
5-th percentile36.165939
Q136.241111
median36.274944
Q336.287806
95-th percentile36.32258
Maximum36.355806
Range0.218556
Interquartile range (IQR)0.046695

Descriptive statistics

Standard deviation0.044924893
Coefficient of variation (CV)0.001238876
Kurtosis0.78959643
Mean36.262624
Median Absolute Deviation (MAD)0.021972
Skewness-1.0128579
Sum4605.3532
Variance0.0020182461
MonotonicityNot monotonic
2024-01-10T05:19:52.963683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.281861 7
 
5.5%
36.308861 4
 
3.1%
36.258444 3
 
2.4%
36.286667 3
 
2.4%
36.252167 3
 
2.4%
36.267167 2
 
1.6%
36.275639 2
 
1.6%
36.326111 2
 
1.6%
36.292722 2
 
1.6%
36.307972 2
 
1.6%
Other values (95) 97
76.4%
ValueCountFrequency (%)
36.13725 1
0.8%
36.14013900000001 1
0.8%
36.143472 1
0.8%
36.143556 1
0.8%
36.159 1
0.8%
36.162667 1
0.8%
36.164056 1
0.8%
36.170333 2
1.6%
36.173611 1
0.8%
36.175444 1
0.8%
ValueCountFrequency (%)
36.355806 1
 
0.8%
36.339639 1
 
0.8%
36.327528 1
 
0.8%
36.326111 2
1.6%
36.325944 1
 
0.8%
36.323222 1
 
0.8%
36.321083 1
 
0.8%
36.310194 1
 
0.8%
36.308861 4
3.1%
36.307972 2
1.6%

구조경도
Real number (ℝ)

Distinct103
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.87651
Minimum126.70825
Maximum127.051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:53.101110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.70825
5-th percentile126.74006
Q1126.8381
median126.89281
Q3126.92189
95-th percentile126.97911
Maximum127.051
Range0.34275
Interquartile range (IQR)0.0837915

Descriptive statistics

Standard deviation0.070182668
Coefficient of variation (CV)0.0005531573
Kurtosis0.0047285776
Mean126.87651
Median Absolute Deviation (MAD)0.036028
Skewness-0.38447621
Sum16113.317
Variance0.0049256069
MonotonicityNot monotonic
2024-01-10T05:19:53.244770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.925222 7
 
5.5%
126.902333 4
 
3.1%
126.921889 3
 
2.4%
126.776194 3
 
2.4%
126.84538899999998 3
 
2.4%
126.979111 2
 
1.6%
126.894667 2
 
1.6%
126.784056 2
 
1.6%
126.914056 2
 
1.6%
126.946139 2
 
1.6%
Other values (93) 97
76.4%
ValueCountFrequency (%)
126.70825 1
0.8%
126.719528 1
0.8%
126.722056 1
0.8%
126.728694 1
0.8%
126.733583 1
0.8%
126.736056 1
0.8%
126.740056 2
1.6%
126.75136100000002 1
0.8%
126.756833 1
0.8%
126.769417 1
0.8%
ValueCountFrequency (%)
127.051 1
0.8%
127.042056 1
0.8%
127.015222 1
0.8%
126.999722 1
0.8%
126.999306 1
0.8%
126.985806 1
0.8%
126.979111 2
1.6%
126.978528 1
0.8%
126.964694 1
0.8%
126.961194 1
0.8%

구조고도
Real number (ℝ)

Distinct57
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.015748
Minimum2
Maximum261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:53.391233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.3
Q116
median27
Q342.5
95-th percentile120.9
Maximum261
Range259
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation38.447652
Coefficient of variation (CV)1.0386837
Kurtosis11.980361
Mean37.015748
Median Absolute Deviation (MAD)12
Skewness3.1224937
Sum4701
Variance1478.222
MonotonicityNot monotonic
2024-01-10T05:19:53.526904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 9
 
7.1%
32 7
 
5.5%
16 6
 
4.7%
10 6
 
4.7%
20 5
 
3.9%
31 5
 
3.9%
30 5
 
3.9%
14 5
 
3.9%
18 3
 
2.4%
28 3
 
2.4%
Other values (47) 73
57.5%
ValueCountFrequency (%)
2 1
 
0.8%
5 1
 
0.8%
6 3
2.4%
7 2
 
1.6%
8 1
 
0.8%
9 2
 
1.6%
10 6
4.7%
11 1
 
0.8%
12 1
 
0.8%
13 3
2.4%
ValueCountFrequency (%)
261 1
0.8%
186 1
0.8%
170 1
0.8%
156 1
0.8%
148 2
1.6%
132 1
0.8%
95 1
0.8%
78 1
0.8%
77 2
1.6%
73 1
0.8%

방생위도
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)71.1%
Missing89
Missing (%)70.1%
Infinite0
Infinite (%)0.0%
Mean36.461101
Minimum36.070794
Maximum36.779105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:53.633520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.070794
5-th percentile36.233105
Q136.282088
median36.366553
Q336.689313
95-th percentile36.737941
Maximum36.779105
Range0.70831166
Interquartile range (IQR)0.40722442

Descriptive statistics

Standard deviation0.21656061
Coefficient of variation (CV)0.0059394973
Kurtosis-1.6753451
Mean36.461101
Median Absolute Deviation (MAD)0.13917009
Skewness0.12498538
Sum1385.5218
Variance0.046898498
MonotonicityNot monotonic
2024-01-10T05:19:53.748290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
36.28208847 7
 
5.5%
36.25251325 3
 
2.4%
36.73233832 3
 
2.4%
36.69009433 2
 
1.6%
36.41195162 1
 
0.8%
36.6713663 1
 
0.8%
36.32115415 1
 
0.8%
36.63875502 1
 
0.8%
36.07079358 1
 
0.8%
36.69042881 1
 
0.8%
Other values (17) 17
 
13.4%
(Missing) 89
70.1%
ValueCountFrequency (%)
36.07079358 1
 
0.8%
36.21920866 1
 
0.8%
36.23555694 1
 
0.8%
36.23807645 1
 
0.8%
36.24209304 1
 
0.8%
36.25251325 3
2.4%
36.28208847 7
5.5%
36.28832684 1
 
0.8%
36.30988028 1
 
0.8%
36.31847598 1
 
0.8%
ValueCountFrequency (%)
36.77910524 1
 
0.8%
36.7676436 1
 
0.8%
36.73269995 1
 
0.8%
36.73233832 3
2.4%
36.69051827 1
 
0.8%
36.69042881 1
 
0.8%
36.69009433 2
1.6%
36.68696856 1
 
0.8%
36.6713663 1
 
0.8%
36.67008139 1
 
0.8%

방생경도
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)71.1%
Missing89
Missing (%)70.1%
Infinite0
Infinite (%)0.0%
Mean126.82269
Minimum126.38737
Maximum126.98756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:53.860359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.38737
5-th percentile126.39363
Q1126.77635
median126.86269
Q3126.9242
95-th percentile126.96642
Maximum126.98756
Range0.6001845
Interquartile range (IQR)0.147847

Descriptive statistics

Standard deviation0.15477186
Coefficient of variation (CV)0.00122038
Kurtosis2.8405802
Mean126.82269
Median Absolute Deviation (MAD)0.0615101
Skewness-1.7428002
Sum4819.2621
Variance0.02395433
MonotonicityNot monotonic
2024-01-10T05:19:53.959832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.9241976 7
 
5.5%
126.7763506 3
 
2.4%
126.96641509999998 3
 
2.4%
126.8626875 2
 
1.6%
126.8364806 1
 
0.8%
126.8631409 1
 
0.8%
126.719546 1
 
0.8%
126.391016 1
 
0.8%
126.6743764 1
 
0.8%
126.8620524 1
 
0.8%
Other values (17) 17
 
13.4%
(Missing) 89
70.1%
ValueCountFrequency (%)
126.3873741 1
 
0.8%
126.391016 1
 
0.8%
126.3940879 1
 
0.8%
126.6465942 1
 
0.8%
126.6743764 1
 
0.8%
126.681325 1
 
0.8%
126.719546 1
 
0.8%
126.7515496 1
 
0.8%
126.7763506 3
2.4%
126.8099568 1
 
0.8%
ValueCountFrequency (%)
126.9875586 1
 
0.8%
126.96641509999998 3
2.4%
126.9661 1
 
0.8%
126.9658272 1
 
0.8%
126.9241976 7
5.5%
126.9053074 1
 
0.8%
126.9044116 1
 
0.8%
126.8890182 1
 
0.8%
126.87847920000002 1
 
0.8%
126.8631409 1
 
0.8%

발견장소상세
Text

MISSING 

Distinct86
Distinct (%)77.5%
Missing16
Missing (%)12.6%
Memory size1.1 KiB
2024-01-10T05:19:54.192020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length8.9009009
Min length1

Characters and Unicode

Total characters988
Distinct characters174
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)69.4%

Sample

1st row주소지 부근 농경지
2nd row(나루터로 37) 주소지 부근
3rd row밤나무 산
4th row밤나무 산
5th row주소지 부근 숲
ValueCountFrequency (%)
주소지 25
 
8.7%
부근 25
 
8.7%
도로변 11
 
3.8%
농경지 10
 
3.5%
옆 8
 
2.8%
실외기 7
 
2.4%
108동 7
 
2.4%
숲 7
 
2.4%
도로 7
 
2.4%
내 7
 
2.4%
Other values (114) 172
60.1%
2024-01-10T05:19:54.540041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
 
18.9%
지 47
 
4.8%
주 39
 
3.9%
소 39
 
3.9%
부 38
 
3.8%
로 34
 
3.4%
근 29
 
2.9%
도 20
 
2.0%
산 14
 
1.4%
가 14
 
1.4%
Other values (164) 527
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 724
73.3%
Space Separator 187
 
18.9%
Decimal Number 59
 
6.0%
Open Punctuation 5
 
0.5%
Close Punctuation 5
 
0.5%
Other Punctuation 4
 
0.4%
Dash Punctuation 3
 
0.3%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 47
 
6.5%
주 39
 
5.4%
소 39
 
5.4%
부 38
 
5.2%
로 34
 
4.7%
근 29
 
4.0%
도 20
 
2.8%
산 14
 
1.9%
가 14
 
1.9%
농 14
 
1.9%
Other values (148) 436
60.2%
Decimal Number
ValueCountFrequency (%)
0 14
23.7%
1 11
18.6%
5 9
15.3%
8 8
13.6%
4 7
11.9%
2 3
 
5.1%
6 3
 
5.1%
3 2
 
3.4%
9 1
 
1.7%
7 1
 
1.7%
Space Separator
ValueCountFrequency (%)
187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 724
73.3%
Common 263
 
26.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 47
 
6.5%
주 39
 
5.4%
소 39
 
5.4%
부 38
 
5.2%
로 34
 
4.7%
근 29
 
4.0%
도 20
 
2.8%
산 14
 
1.9%
가 14
 
1.9%
농 14
 
1.9%
Other values (148) 436
60.2%
Common
ValueCountFrequency (%)
187
71.1%
0 14
 
5.3%
1 11
 
4.2%
5 9
 
3.4%
8 8
 
3.0%
4 7
 
2.7%
( 5
 
1.9%
) 5
 
1.9%
, 4
 
1.5%
2 3
 
1.1%
Other values (5) 10
 
3.8%
Latin
ValueCountFrequency (%)
k 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 724
73.3%
ASCII 264
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
70.8%
0 14
 
5.3%
1 11
 
4.2%
5 9
 
3.4%
8 8
 
3.0%
4 7
 
2.7%
( 5
 
1.9%
) 5
 
1.9%
, 4
 
1.5%
2 3
 
1.1%
Other values (6) 11
 
4.2%
Hangul
ValueCountFrequency (%)
지 47
 
6.5%
주 39
 
5.4%
소 39
 
5.4%
부 38
 
5.2%
로 34
 
4.7%
근 29
 
4.0%
도 20
 
2.8%
산 14
 
1.9%
가 14
 
1.9%
농 14
 
1.9%
Other values (148) 436
60.2%

발견주소
Text

Distinct107
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:19:54.872357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.488189
Min length18

Characters and Unicode

Total characters2729
Distinct characters110
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

Unique95 ?
Unique (%)74.8%

Sample

1st row충청남도 부여군 부여읍 중정리 106
2nd row충청남도 부여군 부여읍 정동리 440-9
3rd row충청남도 부여군 부여읍 구아리 99
4th row충청남도 부여군 외산면 화성리 652-3
5th row충청남도 부여군 외산면 화성리 652-3
ValueCountFrequency (%)
충청남도 127
19.8%
부여군 127
19.8%
부여읍 36
 
5.6%
규암면 29
 
4.5%
내산면 9
 
1.4%
장암면 9
 
1.4%
성왕로328번길 7
 
1.1%
15 7
 
1.1%
합정리 7
 
1.1%
쌍북리 7
 
1.1%
Other values (189) 276
43.1%
2024-01-10T05:19:55.315183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
522
19.1%
부 168
 
6.2%
여 164
 
6.0%
남 132
 
4.8%
충 131
 
4.8%
도 131
 
4.8%
청 130
 
4.8%
군 128
 
4.7%
리 110
 
4.0%
면 89
 
3.3%
Other values (100) 1024
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1679
61.5%
Space Separator 522
 
19.1%
Decimal Number 453
 
16.6%
Dash Punctuation 75
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 168
 
10.0%
여 164
 
9.8%
남 132
 
7.9%
충 131
 
7.8%
도 131
 
7.8%
청 130
 
7.7%
군 128
 
7.6%
리 110
 
6.6%
면 89
 
5.3%
암 43
 
2.6%
Other values (88) 453
27.0%
Decimal Number
ValueCountFrequency (%)
1 88
19.4%
3 64
14.1%
2 64
14.1%
6 43
9.5%
4 38
8.4%
5 36
7.9%
8 34
 
7.5%
7 32
 
7.1%
9 31
 
6.8%
0 23
 
5.1%
Space Separator
ValueCountFrequency (%)
522
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1679
61.5%
Common 1050
38.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 168
 
10.0%
여 164
 
9.8%
남 132
 
7.9%
충 131
 
7.8%
도 131
 
7.8%
청 130
 
7.7%
군 128
 
7.6%
리 110
 
6.6%
면 89
 
5.3%
암 43
 
2.6%
Other values (88) 453
27.0%
Common
ValueCountFrequency (%)
522
49.7%
1 88
 
8.4%
- 75
 
7.1%
3 64
 
6.1%
2 64
 
6.1%
6 43
 
4.1%
4 38
 
3.6%
5 36
 
3.4%
8 34
 
3.2%
7 32
 
3.0%
Other values (2) 54
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1679
61.5%
ASCII 1050
38.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
522
49.7%
1 88
 
8.4%
- 75
 
7.1%
3 64
 
6.1%
2 64
 
6.1%
6 43
 
4.1%
4 38
 
3.6%
5 36
 
3.4%
8 34
 
3.2%
7 32
 
3.0%
Other values (2) 54
 
5.1%
Hangul
ValueCountFrequency (%)
부 168
 
10.0%
여 164
 
9.8%
남 132
 
7.9%
충 131
 
7.8%
도 131
 
7.8%
청 130
 
7.7%
군 128
 
7.6%
리 110
 
6.6%
면 89
 
5.3%
암 43
 
2.6%
Other values (88) 453
27.0%

발견장소특징
Categorical

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
건물옆
45 
도로변
27 
농경지
24 
숲
20 
기타
9 

Length

Max length5
Median length3
Mean length2.6456693
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 45
35.4%
도로변 27
21.3%
농경지 24
18.9%
숲 20
15.7%
기타 9
 
7.1%
강, 바다 2
 
1.6%

Length

2024-01-10T05:19:55.450822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:19:55.565188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 45
34.9%
도로변 27
20.9%
농경지 24
18.6%
숲 20
15.5%
기타 9
 
7.0%
강 2
 
1.6%
바다 2
 
1.6%

발생원인
Categorical

Distinct17
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
어미를 잃음(미아)
29 
전선/건물과의 충돌
21 
차량과의 충돌
20 
기생충 중감염
17 
기아 및 탈진
6 
Other values (12)
34 

Length

Max length11
Median length10
Mean length8.4409449
Min length1

Unique

Unique5 ?
Unique (%)3.9%

Sample

1st row인공구조물 침입·고립
2nd row전선/건물과의 충돌
3rd row바이러스 감염
4th row어미를 잃음(미아)
5th row어미를 잃음(미아)

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 29
22.8%
전선/건물과의 충돌 21
16.5%
차량과의 충돌 20
15.7%
기생충 중감염 17
13.4%
기아 및 탈진 6
 
4.7%
알 수 없는 사고 6
 
4.7%
인공구조물에 얽힘 5
 
3.9%
인공구조물 침입·고립 5
 
3.9%
개, 고양이 공격 4
 
3.1%
바이러스 감염 4
 
3.1%
Other values (7) 10
 
7.9%

Length

2024-01-10T05:19:55.673440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 41
15.1%
어미를 29
 
10.7%
잃음(미아 29
 
10.7%
전선/건물과의 21
 
7.7%
차량과의 20
 
7.4%
기생충 17
 
6.3%
중감염 17
 
6.3%
사고 7
 
2.6%
기아 6
 
2.2%
및 6
 
2.2%
Other values (22) 78
28.8%

발생원인 세부사항
Text

Distinct71
Distinct (%)56.3%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-01-10T05:19:55.920565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length25
Mean length10.277778
Min length2

Characters and Unicode

Total characters1295
Distinct characters161
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

Unique52 ?
Unique (%)41.3%

Sample

1st row인공구조물 끼임 추정
2nd row방음벽 충돌 추정
3rd row폭스 바이러스 감염
4th row미아
5th row미아
ValueCountFrequency (%)
충돌 32
 
9.1%
어미를 23
 
6.5%
추정 20
 
5.7%
잃음(미아 18
 
5.1%
차량과의 14
 
4.0%
개선충 12
 
3.4%
중감염 12
 
3.4%
감염 9
 
2.6%
없는 6
 
1.7%
기생충 6
 
1.7%
Other values (112) 200
56.8%
2024-01-10T05:19:56.304976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
238
 
18.4%
충 63
 
4.9%
미 47
 
3.6%
돌 43
 
3.3%
아 30
 
2.3%
음 29
 
2.2%
어 25
 
1.9%
를 25
 
1.9%
감 25
 
1.9%
선 24
 
1.9%
Other values (151) 746
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 975
75.3%
Space Separator 238
 
18.4%
Other Punctuation 28
 
2.2%
Close Punctuation 22
 
1.7%
Open Punctuation 22
 
1.7%
Lowercase Letter 9
 
0.7%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 63
 
6.5%
미 47
 
4.8%
돌 43
 
4.4%
아 30
 
3.1%
음 29
 
3.0%
어 25
 
2.6%
를 25
 
2.6%
감 25
 
2.6%
선 24
 
2.5%
염 24
 
2.5%
Other values (136) 640
65.6%
Lowercase Letter
ValueCountFrequency (%)
e 2
22.2%
d 1
11.1%
i 1
11.1%
s 1
11.1%
t 1
11.1%
m 1
11.1%
p 1
11.1%
r 1
11.1%
Other Punctuation
ValueCountFrequency (%)
/ 17
60.7%
, 9
32.1%
. 2
 
7.1%
Space Separator
ValueCountFrequency (%)
238
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 975
75.3%
Common 311
 
24.0%
Latin 9
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 63
 
6.5%
미 47
 
4.8%
돌 43
 
4.4%
아 30
 
3.1%
음 29
 
3.0%
어 25
 
2.6%
를 25
 
2.6%
감 25
 
2.6%
선 24
 
2.5%
염 24
 
2.5%
Other values (136) 640
65.6%
Latin
ValueCountFrequency (%)
e 2
22.2%
d 1
11.1%
i 1
11.1%
s 1
11.1%
t 1
11.1%
m 1
11.1%
p 1
11.1%
r 1
11.1%
Common
ValueCountFrequency (%)
238
76.5%
) 22
 
7.1%
( 22
 
7.1%
/ 17
 
5.5%
, 9
 
2.9%
. 2
 
0.6%
- 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 975
75.3%
ASCII 320
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
238
74.4%
) 22
 
6.9%
( 22
 
6.9%
/ 17
 
5.3%
, 9
 
2.8%
e 2
 
0.6%
. 2
 
0.6%
- 1
 
0.3%
d 1
 
0.3%
i 1
 
0.3%
Other values (5) 5
 
1.6%
Hangul
ValueCountFrequency (%)
충 63
 
6.5%
미 47
 
4.8%
돌 43
 
4.4%
아 30
 
3.1%
음 29
 
3.0%
어 25
 
2.6%
를 25
 
2.6%
감 25
 
2.6%
선 24
 
2.5%
염 24
 
2.5%
Other values (136) 640
65.6%

구조위도(TM구조위도)
Text

Distinct105
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:19:56.525326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1270
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

Unique93 ?
Unique (%)73.2%

Sample

1st row36 15 59.5
2nd row36 17 55.0
3rd row36 17 08.5
4th row36 19 34.0
5th row36 19 34.0
ValueCountFrequency (%)
36 127
33.3%
16 33
 
8.7%
17 21
 
5.5%
15 15
 
3.9%
18 14
 
3.7%
13 10
 
2.6%
14 9
 
2.4%
54.7 7
 
1.8%
19 6
 
1.6%
10 5
 
1.3%
Other values (102) 134
35.2%
2024-01-10T05:19:56.864495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
20.0%
6 190
15.0%
3 185
14.6%
1 178
14.0%
. 127
10.0%
5 58
 
4.6%
0 54
 
4.3%
4 52
 
4.1%
7 49
 
3.9%
2 47
 
3.7%
Other values (2) 76
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 889
70.0%
Space Separator 254
 
20.0%
Other Punctuation 127
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 190
21.4%
3 185
20.8%
1 178
20.0%
5 58
 
6.5%
0 54
 
6.1%
4 52
 
5.8%
7 49
 
5.5%
2 47
 
5.3%
8 44
 
4.9%
9 32
 
3.6%
Space Separator
ValueCountFrequency (%)
254
100.0%
Other Punctuation
ValueCountFrequency (%)
. 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
254
20.0%
6 190
15.0%
3 185
14.6%
1 178
14.0%
. 127
10.0%
5 58
 
4.6%
0 54
 
4.3%
4 52
 
4.1%
7 49
 
3.9%
2 47
 
3.7%
Other values (2) 76
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
20.0%
6 190
15.0%
3 185
14.6%
1 178
14.0%
. 127
10.0%
5 58
 
4.6%
0 54
 
4.3%
4 52
 
4.1%
7 49
 
3.9%
2 47
 
3.7%
Other values (2) 76
 
6.0%

구조경도(TM구조경도)
Text

Distinct103
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:19:57.110435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1397
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

Unique89 ?
Unique (%)70.1%

Sample

1st row126 55 52.4
2nd row126 56 13.1
3rd row126 54 33.0
4th row126 44 24.2
5th row126 44 24.2
ValueCountFrequency (%)
126 124
32.5%
55 19
 
5.0%
54 18
 
4.7%
53 16
 
4.2%
52 11
 
2.9%
50 9
 
2.4%
46 8
 
2.1%
30.8 7
 
1.8%
51 7
 
1.8%
56 6
 
1.6%
Other values (105) 156
40.9%
2024-01-10T05:19:57.427010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
18.2%
2 176
12.6%
1 166
11.9%
6 161
11.5%
5 159
11.4%
. 127
9.1%
4 116
8.3%
0 71
 
5.1%
3 70
 
5.0%
8 44
 
3.1%
Other values (2) 53
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1016
72.7%
Space Separator 254
 
18.2%
Other Punctuation 127
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 176
17.3%
1 166
16.3%
6 161
15.8%
5 159
15.6%
4 116
11.4%
0 71
7.0%
3 70
 
6.9%
8 44
 
4.3%
9 34
 
3.3%
7 19
 
1.9%
Space Separator
ValueCountFrequency (%)
254
100.0%
Other Punctuation
ValueCountFrequency (%)
. 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1397
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
254
18.2%
2 176
12.6%
1 166
11.9%
6 161
11.5%
5 159
11.4%
. 127
9.1%
4 116
8.3%
0 71
 
5.1%
3 70
 
5.0%
8 44
 
3.1%
Other values (2) 53
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1397
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
18.2%
2 176
12.6%
1 166
11.9%
6 161
11.5%
5 159
11.4%
. 127
9.1%
4 116
8.3%
0 71
 
5.1%
3 70
 
5.0%
8 44
 
3.1%
Other values (2) 53
 
3.8%

방생위도(TM방생위도)
Text

MISSING 

Distinct27
Distinct (%)71.1%
Missing89
Missing (%)70.1%
Memory size1.1 KiB
2024-01-10T05:19:57.573082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters380
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

Unique23 ?
Unique (%)60.5%

Sample

1st row36 41 24.0
2nd row36 41 24.0
3rd row36 15 07.8
4th row36 15 07.8
5th row36 15 07.8
ValueCountFrequency (%)
36 39
34.2%
54.7 7
 
6.1%
16 7
 
6.1%
41 5
 
4.4%
43 4
 
3.5%
56.2 3
 
2.6%
14 3
 
2.6%
07.8 3
 
2.6%
15 3
 
2.6%
31.9 2
 
1.8%
Other values (33) 38
33.3%
2024-01-10T05:19:57.812088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
20.0%
3 52
13.7%
6 52
13.7%
4 41
10.8%
. 38
10.0%
1 35
9.2%
7 23
 
6.1%
5 17
 
4.5%
0 15
 
3.9%
2 14
 
3.7%
Other values (2) 17
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 266
70.0%
Space Separator 76
 
20.0%
Other Punctuation 38
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 52
19.5%
6 52
19.5%
4 41
15.4%
1 35
13.2%
7 23
8.6%
5 17
 
6.4%
0 15
 
5.6%
2 14
 
5.3%
8 10
 
3.8%
9 7
 
2.6%
Space Separator
ValueCountFrequency (%)
76
100.0%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 380
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
76
20.0%
3 52
13.7%
6 52
13.7%
4 41
10.8%
. 38
10.0%
1 35
9.2%
7 23
 
6.1%
5 17
 
4.5%
0 15
 
3.9%
2 14
 
3.7%
Other values (2) 17
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 380
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
20.0%
3 52
13.7%
6 52
13.7%
4 41
10.8%
. 38
10.0%
1 35
9.2%
7 23
 
6.1%
5 17
 
4.5%
0 15
 
3.9%
2 14
 
3.7%
Other values (2) 17
 
4.5%

방생경도(TM방생경도)
Text

MISSING 

Distinct27
Distinct (%)71.1%
Missing89
Missing (%)70.1%
Memory size1.1 KiB
2024-01-10T05:19:57.976719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters418
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

Unique23 ?
Unique (%)60.5%

Sample

1st row126 51 46.1
2nd row126 51 46.1
3rd row126 46 34.3
4th row126 46 34.3
5th row126 46 34.3
ValueCountFrequency (%)
126 38
33.3%
30.8 7
 
6.1%
55 7
 
6.1%
51 5
 
4.4%
57 5
 
4.4%
59.0 3
 
2.6%
23 3
 
2.6%
34.3 3
 
2.6%
46 3
 
2.6%
54 2
 
1.8%
Other values (34) 38
33.3%
2024-01-10T05:19:58.218434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
76
18.2%
1 55
13.2%
2 51
12.2%
6 50
12.0%
5 39
9.3%
. 38
9.1%
4 28
 
6.7%
3 27
 
6.5%
0 21
 
5.0%
8 14
 
3.3%
Other values (2) 19
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 304
72.7%
Space Separator 76
 
18.2%
Other Punctuation 38
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 55
18.1%
2 51
16.8%
6 50
16.4%
5 39
12.8%
4 28
9.2%
3 27
8.9%
0 21
 
6.9%
8 14
 
4.6%
7 10
 
3.3%
9 9
 
3.0%
Space Separator
ValueCountFrequency (%)
76
100.0%
Other Punctuation
ValueCountFrequency (%)
. 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 418
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
76
18.2%
1 55
13.2%
2 51
12.2%
6 50
12.0%
5 39
9.3%
. 38
9.1%
4 28
 
6.7%
3 27
 
6.5%
0 21
 
5.0%
8 14
 
3.3%
Other values (2) 19
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 418
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
76
18.2%
1 55
13.2%
2 51
12.2%
6 50
12.0%
5 39
9.3%
. 38
9.1%
4 28
 
6.7%
3 27
 
6.5%
0 21
 
5.0%
8 14
 
3.3%
Other values (2) 19
 
4.5%

등록체중
Real number (ℝ)

ZEROS 

Distinct102
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2654.3858
Minimum0
Maximum17860
Zeros16
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:58.342426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q163
median686
Q32330
95-th percentile14640
Maximum17860
Range17860
Interquartile range (IQR)2267

Descriptive statistics

Standard deviation4682.0848
Coefficient of variation (CV)1.7639051
Kurtosis3.2858867
Mean2654.3858
Median Absolute Deviation (MAD)678
Skewness2.1391918
Sum337107
Variance21921918
MonotonicityNot monotonic
2024-01-10T05:19:58.459748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
12.6%
8 3
 
2.4%
118 3
 
2.4%
6 2
 
1.6%
128 2
 
1.6%
62 2
 
1.6%
248 2
 
1.6%
154 2
 
1.6%
18 2
 
1.6%
46 1
 
0.8%
Other values (92) 92
72.4%
ValueCountFrequency (%)
0 16
12.6%
6 2
 
1.6%
8 3
 
2.4%
9 1
 
0.8%
12 1
 
0.8%
14 1
 
0.8%
18 2
 
1.6%
19 1
 
0.8%
32 1
 
0.8%
46 1
 
0.8%
ValueCountFrequency (%)
17860 1
0.8%
17680 1
0.8%
17240 1
0.8%
16220 1
0.8%
16080 1
0.8%
15460 1
0.8%
14700 1
0.8%
14500 1
0.8%
14040 1
0.8%
13400 1
0.8%

현재체중
Real number (ℝ)

ZEROS 

Distinct103
Distinct (%)81.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2793.0945
Minimum0
Maximum17860
Zeros18
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:19:58.579907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165
median700
Q32760
95-th percentile14640
Maximum17860
Range17860
Interquartile range (IQR)2695

Descriptive statistics

Standard deviation4673.4431
Coefficient of variation (CV)1.6732134
Kurtosis3.0742744
Mean2793.0945
Median Absolute Deviation (MAD)700
Skewness2.0664956
Sum354723
Variance21841070
MonotonicityNot monotonic
2024-01-10T05:19:58.714807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 18
 
14.2%
8 2
 
1.6%
54 2
 
1.6%
128 2
 
1.6%
168 2
 
1.6%
118 2
 
1.6%
6 2
 
1.6%
18 2
 
1.6%
568 1
 
0.8%
1768 1
 
0.8%
Other values (93) 93
73.2%
ValueCountFrequency (%)
0 18
14.2%
6 2
 
1.6%
8 2
 
1.6%
9 1
 
0.8%
13 1
 
0.8%
16 1
 
0.8%
18 2
 
1.6%
19 1
 
0.8%
32 1
 
0.8%
50 1
 
0.8%
ValueCountFrequency (%)
17860 1
0.8%
17680 1
0.8%
17240 1
0.8%
16220 1
0.8%
16080 1
0.8%
15460 1
0.8%
14700 1
0.8%
14500 1
0.8%
14040 1
0.8%
13400 1
0.8%

임상적최종진단
Text

Distinct98
Distinct (%)77.8%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-01-10T05:19:59.027722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length28
Mean length13.531746
Min length2

Characters and Unicode

Total characters1705
Distinct characters242
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

Unique91 ?
Unique (%)72.2%

Sample

1st row우측 슬관절 탈구 및 좌측 대퇴골 탈구
2nd row방음벽 충돌 개체
3rd row폭스바이러스 중감염
4th row미아
5th row미아
ValueCountFrequency (%)
및 28
 
5.7%
의한 27
 
5.5%
미아 18
 
3.7%
개선충 16
 
3.3%
우측 15
 
3.0%
충돌에 14
 
2.8%
중감염 13
 
2.6%
골절 12
 
2.4%
좌측 10
 
2.0%
탈구 9
 
1.8%
Other values (205) 330
67.1%
2024-01-10T05:19:59.707175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
368
 
21.6%
골 48
 
2.8%
한 43
 
2.5%
충 40
 
2.3%
절 38
 
2.2%
개 36
 
2.1%
의 31
 
1.8%
에 31
 
1.8%
상 29
 
1.7%
및 28
 
1.6%
Other values (232) 1013
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1226
71.9%
Space Separator 368
 
21.6%
Lowercase Letter 27
 
1.6%
Other Punctuation 25
 
1.5%
Decimal Number 16
 
0.9%
Close Punctuation 14
 
0.8%
Open Punctuation 14
 
0.8%
Uppercase Letter 14
 
0.8%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 48
 
3.9%
한 43
 
3.5%
충 40
 
3.3%
절 38
 
3.1%
개 36
 
2.9%
의 31
 
2.5%
에 31
 
2.5%
상 29
 
2.4%
및 28
 
2.3%
측 28
 
2.3%
Other values (201) 874
71.3%
Lowercase Letter
ValueCountFrequency (%)
t 6
22.2%
i 4
14.8%
u 3
11.1%
s 2
 
7.4%
n 2
 
7.4%
p 2
 
7.4%
e 2
 
7.4%
m 1
 
3.7%
l 1
 
3.7%
r 1
 
3.7%
Other values (3) 3
11.1%
Decimal Number
ValueCountFrequency (%)
4 4
25.0%
1 3
18.8%
2 3
18.8%
3 2
12.5%
5 2
12.5%
6 1
 
6.2%
0 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 16
64.0%
. 5
 
20.0%
/ 3
 
12.0%
? 1
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
L 8
57.1%
R 4
28.6%
T 2
 
14.3%
Space Separator
ValueCountFrequency (%)
368
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1226
71.9%
Common 438
 
25.7%
Latin 41
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 48
 
3.9%
한 43
 
3.5%
충 40
 
3.3%
절 38
 
3.1%
개 36
 
2.9%
의 31
 
2.5%
에 31
 
2.5%
상 29
 
2.4%
및 28
 
2.3%
측 28
 
2.3%
Other values (201) 874
71.3%
Latin
ValueCountFrequency (%)
L 8
19.5%
t 6
14.6%
i 4
9.8%
R 4
9.8%
u 3
 
7.3%
s 2
 
4.9%
n 2
 
4.9%
T 2
 
4.9%
p 2
 
4.9%
e 2
 
4.9%
Other values (6) 6
14.6%
Common
ValueCountFrequency (%)
368
84.0%
, 16
 
3.7%
) 14
 
3.2%
( 14
 
3.2%
. 5
 
1.1%
4 4
 
0.9%
/ 3
 
0.7%
1 3
 
0.7%
2 3
 
0.7%
3 2
 
0.5%
Other values (5) 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1226
71.9%
ASCII 479
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
368
76.8%
, 16
 
3.3%
) 14
 
2.9%
( 14
 
2.9%
L 8
 
1.7%
t 6
 
1.3%
. 5
 
1.0%
i 4
 
0.8%
R 4
 
0.8%
4 4
 
0.8%
Other values (21) 36
 
7.5%
Hangul
ValueCountFrequency (%)
골 48
 
3.9%
한 43
 
3.5%
충 40
 
3.3%
절 38
 
3.1%
개 36
 
2.9%
의 31
 
2.5%
에 31
 
2.5%
상 29
 
2.4%
및 28
 
2.3%
측 28
 
2.3%
Other values (201) 874
71.3%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-1491꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-10-052019-10-052019-10-052019-10-07폐사체<NA>기타UnknownJuvenile36.266528126.93122218<NA><NA>주소지 부근 농경지충청남도 부여군 부여읍 중정리 106농경지인공구조물 침입·고립인공구조물 끼임 추정36 15 59.5126 55 52.4<NA><NA>310310우측 슬관절 탈구 및 좌측 대퇴골 탈구
12019-0185멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-03-292019-03-29폐사체<NA>기타UnknownUnknown36.298611126.93697212<NA><NA><NA>충청남도 부여군 부여읍 정동리 440-9도로변전선/건물과의 충돌방음벽 충돌 추정36 17 55.0126 56 13.1<NA><NA>248248방음벽 충돌 개체
22019-1492멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-10-072019-10-07안락사<NA>기타UnknownUnknown36.285694126.90916720<NA><NA>(나루터로 37) 주소지 부근충청남도 부여군 부여읍 구아리 99건물옆바이러스 감염폭스 바이러스 감염36 17 08.5126 54 33.0<NA><NA>00폭스바이러스 중감염
32019-1567멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-10-262019-11-27방생충청남도 예산군 예산읍 향천리 54<NA>UnknownNestling36.326111126.74005614836.690094126.862688밤나무 산충청남도 부여군 외산면 화성리 652-3숲어미를 잃음(미아)미아36 19 34.0126 44 24.236 41 24.0126 51 46.166171미아
42019-1568멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-10-262019-11-27방생충청남도 예산군 예산읍 향천리 54<NA>UnknownNestling36.326111126.74005614836.690094126.862688밤나무 산충청남도 부여군 외산면 화성리 652-3숲어미를 잃음(미아)미아36 19 34.0126 44 24.236 41 24.0126 51 46.164168미아
52019-0358소쩍새조강(Aves)올빼미목올빼미과324-6해당없음부속서 2종<NA><NA>2019-05-062019-06-18안락사<NA>기타UnknownAdult36.28525126.77091746<NA><NA><NA>충청남도 부여군 내산면 저동리 12-2건물옆차량과의 충돌차량충돌 추정36 17 06.9126 46 15.3<NA><NA>6284충돌에 의한 좌측 요골 골절
62019-1657수리부엉이조강(Aves)올빼미목올빼미과324-22 급부속서 2종<NA><NA>2019-11-222019-11-23폐사체<NA>기타UnknownUnknown36.264194126.8512518<NA><NA><NA>충청남도 부여군 규암면 흥수로 590번길건물옆기아 및 탈진기아36 15 51.1126 51 04.5<NA><NA>12781278극심한 기아 및 탈진
72019-1658수리부엉이조강(Aves)올빼미목올빼미과324-22 급부속서 2종<NA><NA>2019-11-232019-11-23폐사체<NA>기타UnknownUnknown36.229694126.87333<NA><NA><NA>충청남도 부여군 장암면 합곡리 48-1숲알 수 없는 사고알수 없는 사고36 13 46.9126 52 22.8<NA><NA>11701170극심한 기아 및 탈진(추정)
82019-0239올빼미조강(Aves)올빼미목올빼미과324-12 급부속서 2종<NA><NA>2019-04-172019-04-17방생충청남도 부여군 내산면 천보리 산7<NA>UnknownNestling36.252167126.7761945236.252513126.776351주소지 부근 숲충청남도 부여군 내산면 천보리 산7숲어미를 잃음(미아)벌목으로 인한 둥지 훼손, 어미를 잃음36 15 07.8126 46 34.336 15 07.8126 46 34.300둥지 훼손으로 인한 어미의 보살핌 중단
92019-0240올빼미조강(Aves)올빼미목올빼미과324-12 급부속서 2종<NA><NA>2019-04-172019-04-17방생충청남도 부여군 내산면 천보리 산7<NA>UnknownNestling36.252167126.7761945236.252513126.776351주소지 부근 숲충청남도 부여군 내산면 천보리 산7숲어미를 잃음(미아)벌목으로 인한 둥지 훼손, 어미를 잃음36 15 07.8126 46 34.336 15 07.8126 46 34.300둥지 훼손으로 인한 어미의 보살핌 중단
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
1172021-1794고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-10-242021-10-24안락사<NA>기타Female0년0월0일36.245556126.99972227<NA><NA>부여 사비문 광장 주차장에서 태안방면 도로 진입부근충청남도 부여군 석성면 증산리 1136-2도로변차량과의 충돌차량과의 충돌36 14 44.0126 59 59.0<NA><NA>1470014700차량 충돌에 의한 L6 골절 및 Rt. 고관절 탈구
1182021-1999고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-12-052021-12-05폐사체<NA>기타Female0년0월0일36.2915126.9217519<NA><NA>백제관광호텔 앞 도로충청남도 부여군 부여읍 쌍북리 433-4도로변차량과의 충돌차량과의 충돌36 17 29.4126 55 18.3<NA><NA>1724017240둔부~배면 심한 열상
1192021-2043고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-12-172021-12-17안락사<NA>기타Male3년7월0일36.308861126.90233332<NA><NA>백제역사문화관 위례성충청남도 부여군 규암면 합정리 580숲알 수 없는 사고알 수 없는 사고36 18 31.9126 54 08.4<NA><NA>1546015460T10, T11 단열
1202021-2048고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-12-182021-12-19안락사<NA>기타Male1년7월0일36.229528126.73605695<NA><NA>산길 도로변충청남도 부여군 홍산면 토정리 499-11도로변차량과의 충돌차량과의 충돌36 13 46.3126 44 09.8<NA><NA>1608016080차량충돌에 의한 Lt. 고관절 탈구, Rt. 무릎관절 개방 탈구
1212021-1421너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-07-282021-07-31폐사<NA>기타Male0년0월0일36.286667126.92188931<NA><NA>가정집 뒷산충청남도 부여군 부여읍 부소로95번길 23-4숲기생충 중감염기생충 중감염36 17 12.0126 55 18.8<NA><NA>10201020개선충 중감염
1222021-1427너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-07-292021-08-05폐사<NA>기타Female0년1월0일36.286667126.92188931<NA><NA>가정집 뒷산충청남도 부여군 부여읍 부소로95번길 23-4숲기생충 중감염기생충 중감염36 17 12.0126 55 18.8<NA><NA>13221220개선충 중감염
1232021-1428너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-07-292021-08-05폐사<NA>기타Female0년1월0일36.286667126.92188931<NA><NA>가정집 뒷산충청남도 부여군 부여읍 부소로95번길 23-4숲기생충 중감염기생충 중감염36 17 12.0126 55 18.8<NA><NA>11141210개선충 중감염
1242021-1905너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-162022-02-22방생충청남도 서산시 부석면 마룡리 523-16<NA>Male0년0월0일36.294917126.8983611736.638755126.391016가정집 마당충청남도 부여군 규암면 신리로 16-17건물옆기생충 중감염기생충 중감염/개선충 감염36 17 41.7126 53 54.136 38 15.7126 23 20.938804990개선충 중감염
1252021-0289삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-03-222021-03-22방생충청남도 부여군 외산면 장항리 113<NA>Unknown0년0월0일36.321083126.71952815636.321154126.719546주소지 부근 숲충청남도 부여군 외산면 장항리 113숲올가미올가미36 19 15.9126 43 10.336 19 15.9126 43 10.300올가미에 의한 우측 앞다리 혈행장애
1262021-0255수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-03-132021-03-19폐사<NA>기타Unknown0년0월0일36.188389126.85669420<NA><NA>주소지 부근 농지, 하천 경계충청남도 부여군 충화면 만지리 417-3강, 바다덫덫 (창애)36 11 18.2126 51 24.1<NA><NA>61404860우측 대퇴골 원위부 성장판 골절, 덫에 의한 피부 손상