Overview

Dataset statistics

Number of variables34
Number of observations192
Missing cells1061
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory52.4 KiB
Average record size in memory279.7 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 보령시 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=15109263

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (50.3%)Imbalance
멸종위기등급 is highly imbalanced (55.0%)Imbalance
발견일시 has 191 (99.5%) missing valuesMissing
접수일시 has 191 (99.5%) missing valuesMissing
이첩 방생 위치 has 132 (68.8%) missing valuesMissing
방생위도 has 132 (68.8%) missing valuesMissing
방생경도 has 132 (68.8%) missing valuesMissing
발견장소상세 has 17 (8.9%) missing valuesMissing
방생위도(TM방생위도) has 132 (68.8%) missing valuesMissing
방생경도(TM방생경도) has 132 (68.8%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 4 (2.1%) zerosZeros
등록체중 has 12 (6.2%) zerosZeros
현재체중 has 12 (6.2%) zerosZeros

Reproduction

Analysis started2024-01-09 21:49:36.034745
Analysis finished2024-01-09 21:49:36.976013
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T06:49:37.181868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters1728
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

Unique192 ?
Unique (%)100.0%

Sample

1st row2019-1266
2nd row2019-1054
3rd row2019-1125
4th row2019-1141
5th row2019-1339
ValueCountFrequency (%)
2019-1266 1
 
0.5%
2019-1054 1
 
0.5%
2021-1396 1
 
0.5%
2020-1735 1
 
0.5%
2020-1863 1
 
0.5%
2020-0102 1
 
0.5%
2020-0603 1
 
0.5%
2021-0078 1
 
0.5%
2021-0048 1
 
0.5%
2021-1005 1
 
0.5%
Other values (182) 182
94.8%
2024-01-10T06:49:37.532620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 414
24.0%
2 400
23.1%
1 284
16.4%
- 192
11.1%
9 96
 
5.6%
3 64
 
3.7%
4 59
 
3.4%
8 58
 
3.4%
5 56
 
3.2%
6 55
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1536
88.9%
Dash Punctuation 192
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 414
27.0%
2 400
26.0%
1 284
18.5%
9 96
 
6.2%
3 64
 
4.2%
4 59
 
3.8%
8 58
 
3.8%
5 56
 
3.6%
6 55
 
3.6%
7 50
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1728
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 414
24.0%
2 400
23.1%
1 284
16.4%
- 192
11.1%
9 96
 
5.6%
3 64
 
3.7%
4 59
 
3.4%
8 58
 
3.4%
5 56
 
3.2%
6 55
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1728
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 414
24.0%
2 400
23.1%
1 284
16.4%
- 192
11.1%
9 96
 
5.6%
3 64
 
3.7%
4 59
 
3.4%
8 58
 
3.4%
5 56
 
3.2%
6 55
 
3.2%

동물국문명
Categorical

Distinct46
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
고라니
38 
괭이갈매기
17 
너구리
14 
황조롱이
13 
수리부엉이
12 
Other values (41)
98 

Length

Max length8
Median length7
Mean length3.6666667
Min length1

Unique

Unique20 ?
Unique (%)10.4%

Sample

1st row
2nd row괭이갈매기
3rd row괭이갈매기
4th row괭이갈매기
5th row괭이갈매기

Common Values

ValueCountFrequency (%)
고라니 38
19.8%
괭이갈매기 17
 
8.9%
너구리 14
 
7.3%
황조롱이 13
 
6.8%
수리부엉이 12
 
6.2%
흰뺨검둥오리 8
 
4.2%
소쩍새 8
 
4.2%
솔부엉이 6
 
3.1%
물총새 5
 
2.6%
멧비둘기 5
 
2.6%
Other values (36) 66
34.4%

Length

2024-01-10T06:49:37.650431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 38
19.8%
괭이갈매기 17
 
8.9%
너구리 14
 
7.3%
황조롱이 13
 
6.8%
수리부엉이 12
 
6.2%
흰뺨검둥오리 8
 
4.2%
소쩍새 8
 
4.2%
솔부엉이 6
 
3.1%
수달 5
 
2.6%
참매 5
 
2.6%
Other values (36) 66
34.4%


Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
조강(Aves)
129 
포유강(Mammalia)
63 

Length

Max length13
Median length8
Mean length9.640625
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) 129
67.2%
포유강(Mammalia) 63
32.8%

Length

2024-01-10T06:49:37.743361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:37.835460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 129
67.2%
포유강(mammalia 63
32.8%


Categorical

Distinct16
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
소목
38 
올빼미목
29 
매목
23 
식육목
22 
도요목
18 
Other values (11)
62 

Length

Max length5
Median length4
Mean length2.984375
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
소목 38
19.8%
올빼미목 29
15.1%
매목 23
12.0%
식육목 22
11.5%
도요목 18
9.4%
참새목 14
 
7.3%
황새목 14
 
7.3%
기러기목 10
 
5.2%
파랑새목 9
 
4.7%
비둘기목 5
 
2.6%
Other values (6) 10
 
5.2%

Length

2024-01-10T06:49:37.949021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 38
19.8%
올빼미목 29
15.1%
매목 23
12.0%
식육목 22
11.5%
도요목 18
9.4%
참새목 14
 
7.3%
황새목 14
 
7.3%
기러기목 10
 
5.2%
파랑새목 9
 
4.7%
비둘기목 5
 
2.6%
Other values (6) 10
 
5.2%


Categorical

Distinct26
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
사슴과
38 
올빼미과
29 
갈매기과
18 
매과
15 
개과
14 
Other values (21)
78 

Length

Max length5
Median length4
Mean length3.4322917
Min length2

Unique

Unique6 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 38
19.8%
올빼미과 29
15.1%
갈매기과 18
9.4%
매과 15
 
7.8%
개과 14
 
7.3%
왜가리과 14
 
7.3%
오리과 10
 
5.2%
수리과 8
 
4.2%
족제비과 6
 
3.1%
비둘기과 5
 
2.6%
Other values (16) 35
18.2%

Length

2024-01-10T06:49:38.080010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 38
19.8%
올빼미과 29
15.1%
갈매기과 18
9.4%
매과 15
 
7.8%
개과 14
 
7.3%
왜가리과 14
 
7.3%
오리과 10
 
5.2%
수리과 8
 
4.2%
족제비과 6
 
3.1%
비둘기과 5
 
2.6%
Other values (16) 35
18.2%

천연기념물
Categorical

IMBALANCE 

Distinct9
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
해당없음
140 
323-8
 
13
324-2
 
12
324-6
 
8
324-3
 
6
Other values (4)
 
13

Length

Max length5
Median length4
Mean length4.21875
Min length3

Unique

Unique1 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 140
72.9%
323-8 13
 
6.8%
324-2 12
 
6.2%
324-6 8
 
4.2%
324-3 6
 
3.1%
323-1 5
 
2.6%
330 5
 
2.6%
324-1 2
 
1.0%
324-5 1
 
0.5%

Length

2024-01-10T06:49:38.194057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:38.291954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 140
72.9%
323-8 13
 
6.8%
324-2 12
 
6.2%
324-6 8
 
4.2%
324-3 6
 
3.1%
323-1 5
 
2.6%
330 5
 
2.6%
324-1 2
 
1.0%
324-5 1
 
0.5%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
해당없음
163 
2 급
24 
1 급
 
5

Length

Max length4
Median length4
Mean length3.8489583
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 163
84.9%
2 급 24
 
12.5%
1 급 5
 
2.6%

Length

2024-01-10T06:49:38.408824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:38.517564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 163
73.8%
29
 
13.1%
2 24
 
10.9%
1 5
 
2.3%
Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
해당없음
133 
부속서 2종
54 
부속서 1종
 
5

Length

Max length6
Median length4
Mean length4.6145833
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 133
69.3%
부속서 2종 54
28.1%
부속서 1종 5
 
2.6%

Length

2024-01-10T06:49:38.635903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:38.751408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 133
53.0%
부속서 59
23.5%
2종 54
21.5%
1종 5
 
2.0%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing191
Missing (%)99.5%
Memory size1.6 KiB
Minimum2019-08-03 00:00:00
Maximum2019-08-03 00:00:00
2024-01-10T06:49:38.838618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:49:38.929296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing191
Missing (%)99.5%
Memory size1.6 KiB
Minimum2019-08-03 00:00:00
Maximum2019-08-03 00:00:00
2024-01-10T06:49:39.016463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:49:39.104417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct158
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2018-12-31 00:00:00
Maximum2021-12-20 00:00:00
2024-01-10T06:49:39.197209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:49:39.311377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct155
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2019-01-07 00:00:00
Maximum2021-12-20 00:00:00
2024-01-10T06:49:39.407269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:49:39.535012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
방생
60 
안락사
58 
폐사
29 
DOA
28 
폐사체
17 

Length

Max length3
Median length3
Mean length2.5364583
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 60
31.2%
안락사 58
30.2%
폐사 29
15.1%
DOA 28
14.6%
폐사체 17
 
8.9%

Length

2024-01-10T06:49:39.660097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:39.769262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 60
31.2%
안락사 58
30.2%
폐사 29
15.1%
doa 28
14.6%
폐사체 17
 
8.9%

이첩 방생 위치
Text

MISSING 

Distinct49
Distinct (%)81.7%
Missing132
Missing (%)68.8%
Memory size1.6 KiB
2024-01-10T06:49:39.993999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length21.25
Min length18

Characters and Unicode

Total characters1275
Distinct characters112
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)66.7%

Sample

1st row충청남도 서산시 고북면 사기리 1109
2nd row충청남도 보령시 주산면 주야리 558-10
3rd row충청남도 보령시 청라면 의평리 593
4th row충청남도 예산군 예산읍 주교리 488-7
5th row충청남도 서산시 인지면 산동리 939
ValueCountFrequency (%)
충청남도 59
 
19.2%
보령시 21
 
6.8%
예산군 14
 
4.5%
14
 
4.5%
서산시 7
 
2.3%
대흥면 6
 
1.9%
예산읍 6
 
1.9%
홍성군 5
 
1.6%
손지리 5
 
1.6%
송악면 4
 
1.3%
Other values (126) 167
54.2%
2024-01-10T06:49:40.341877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
254
19.9%
64
 
5.0%
62
 
4.9%
61
 
4.8%
59
 
4.6%
57
 
4.5%
54
 
4.2%
1 45
 
3.5%
40
 
3.1%
38
 
3.0%
Other values (102) 541
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
61.6%
Space Separator 254
 
19.9%
Decimal Number 199
 
15.6%
Dash Punctuation 36
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
64
 
8.1%
62
 
7.9%
61
 
7.8%
59
 
7.5%
57
 
7.3%
54
 
6.9%
40
 
5.1%
38
 
4.8%
23
 
2.9%
22
 
2.8%
Other values (90) 306
38.9%
Decimal Number
ValueCountFrequency (%)
1 45
22.6%
5 26
13.1%
3 23
11.6%
4 18
 
9.0%
2 17
 
8.5%
9 17
 
8.5%
7 16
 
8.0%
8 14
 
7.0%
6 12
 
6.0%
0 11
 
5.5%
Space Separator
ValueCountFrequency (%)
254
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
61.6%
Common 489
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
8.1%
62
 
7.9%
61
 
7.8%
59
 
7.5%
57
 
7.3%
54
 
6.9%
40
 
5.1%
38
 
4.8%
23
 
2.9%
22
 
2.8%
Other values (90) 306
38.9%
Common
ValueCountFrequency (%)
254
51.9%
1 45
 
9.2%
- 36
 
7.4%
5 26
 
5.3%
3 23
 
4.7%
4 18
 
3.7%
2 17
 
3.5%
9 17
 
3.5%
7 16
 
3.3%
8 14
 
2.9%
Other values (2) 23
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
61.6%
ASCII 489
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
254
51.9%
1 45
 
9.2%
- 36
 
7.4%
5 26
 
5.3%
3 23
 
4.7%
4 18
 
3.7%
2 17
 
3.5%
9 17
 
3.5%
7 16
 
3.3%
8 14
 
2.9%
Other values (2) 23
 
4.7%
Hangul
ValueCountFrequency (%)
64
 
8.1%
62
 
7.9%
61
 
7.8%
59
 
7.5%
57
 
7.3%
54
 
6.9%
40
 
5.1%
38
 
4.8%
23
 
2.9%
22
 
2.8%
Other values (90) 306
38.9%

사체처리
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
기타
132 
<NA>
60 

Length

Max length4
Median length2
Mean length2.625
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 132
68.8%
<NA> 60
31.2%

Length

2024-01-10T06:49:40.461613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:40.545325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 132
68.8%
na 60
31.2%

동물성별
Categorical

Distinct5
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Unknown
130 
Male
32 
Female
26 
Female(?)
 
2
Male(?)
 
2

Length

Max length9
Median length7
Mean length6.3854167
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 130
67.7%
Male 32
 
16.7%
Female 26
 
13.5%
Female(?) 2
 
1.0%
Male(?) 2
 
1.0%

Length

2024-01-10T06:49:40.625877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:40.706792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 130
67.7%
male 34
 
17.7%
female 28
 
14.6%

동물연령
Categorical

Distinct20
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Adult
43 
Juvenile
34 
Unknown
33 
0년0월0일
30 
Nestling
19 
Other values (15)
33 

Length

Max length8
Median length7
Mean length6.515625
Min length5

Unique

Unique9 ?
Unique (%)4.7%

Sample

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

Common Values

ValueCountFrequency (%)
Adult 43
22.4%
Juvenile 34
17.7%
Unknown 33
17.2%
0년0월0일 30
15.6%
Nestling 19
9.9%
0년6월0일 6
 
3.1%
0년1월0일 5
 
2.6%
0년7월0일 4
 
2.1%
0년2월0일 4
 
2.1%
0년11월0일 3
 
1.6%
Other values (10) 11
 
5.7%

Length

2024-01-10T06:49:40.821854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
adult 43
22.4%
juvenile 34
17.7%
unknown 33
17.2%
0년0월0일 30
15.6%
nestling 19
9.9%
0년6월0일 6
 
3.1%
0년1월0일 5
 
2.6%
0년7월0일 4
 
2.1%
0년2월0일 4
 
2.1%
0년11월0일 3
 
1.6%
Other values (10) 11
 
5.7%

구조위도
Real number (ℝ)

Distinct162
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.335746
Minimum36.175694
Maximum36.495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:40.954447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.175694
5-th percentile36.230872
Q136.305458
median36.342597
Q336.36575
95-th percentile36.437944
Maximum36.495
Range0.319306
Interquartile range (IQR)0.06029175

Descriptive statistics

Standard deviation0.059995549
Coefficient of variation (CV)0.001651144
Kurtosis0.22273457
Mean36.335746
Median Absolute Deviation (MAD)0.0274445
Skewness-0.24359803
Sum6976.4633
Variance0.0035994659
MonotonicityNot monotonic
2024-01-10T06:49:41.100750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.36575 6
 
3.1%
36.437944 5
 
2.6%
36.351083 4
 
2.1%
36.322278 3
 
1.6%
36.348194 3
 
1.6%
36.363778 3
 
1.6%
36.333194 3
 
1.6%
36.377778 2
 
1.0%
36.301444 2
 
1.0%
36.341889 2
 
1.0%
Other values (152) 159
82.8%
ValueCountFrequency (%)
36.175694 1
0.5%
36.187944 1
0.5%
36.193917 1
0.5%
36.203861 1
0.5%
36.204139 1
0.5%
36.206306 1
0.5%
36.220028000000006 1
0.5%
36.224167 1
0.5%
36.22625 1
0.5%
36.229833 1
0.5%
ValueCountFrequency (%)
36.495 1
 
0.5%
36.480528 1
 
0.5%
36.469278 1
 
0.5%
36.464083 1
 
0.5%
36.460444 1
 
0.5%
36.439694 1
 
0.5%
36.437944 5
2.6%
36.437639 1
 
0.5%
36.436167 1
 
0.5%
36.426 1
 
0.5%

구조경도
Real number (ℝ)

Distinct165
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.57131
Minimum126.08039
Maximum126.69203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:41.248657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.08039
5-th percentile126.49306
Q1126.5335
median126.58896
Q3126.61035
95-th percentile126.65839
Maximum126.69203
Range0.611639
Interquartile range (IQR)0.076847

Descriptive statistics

Standard deviation0.072696083
Coefficient of variation (CV)0.0005743488
Kurtosis13.457862
Mean126.57131
Median Absolute Deviation (MAD)0.030041
Skewness-2.7067553
Sum24301.692
Variance0.0052847205
MonotonicityNot monotonic
2024-01-10T06:49:41.392851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.611194 7
 
3.6%
126.588944 5
 
2.6%
126.5945 4
 
2.1%
126.526389 3
 
1.6%
126.611556 3
 
1.6%
126.5335 3
 
1.6%
126.607528 2
 
1.0%
126.593139 2
 
1.0%
126.538444 2
 
1.0%
126.530444 2
 
1.0%
Other values (155) 159
82.8%
ValueCountFrequency (%)
126.080389 1
0.5%
126.26161100000002 2
1.0%
126.346111 1
0.5%
126.360556 1
0.5%
126.392972 1
0.5%
126.398139 1
0.5%
126.487833 1
0.5%
126.492056 2
1.0%
126.493889 1
0.5%
126.49625 1
0.5%
ValueCountFrequency (%)
126.692028 1
0.5%
126.691222 1
0.5%
126.684278 1
0.5%
126.681444 1
0.5%
126.679639 1
0.5%
126.6775 1
0.5%
126.676694 1
0.5%
126.66475 1
0.5%
126.663833 1
0.5%
126.661917 1
0.5%

구조고도
Real number (ℝ)

ZEROS 

Distinct73
Distinct (%)38.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.380208
Minimum0
Maximum256
Zeros4
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:41.540250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q18
median18
Q337.5
95-th percentile151.25
Maximum256
Range256
Interquartile range (IQR)29.5

Descriptive statistics

Standard deviation50.291363
Coefficient of variation (CV)1.3823825
Kurtosis7.4416977
Mean36.380208
Median Absolute Deviation (MAD)11
Skewness2.6939493
Sum6985
Variance2529.2212
MonotonicityNot monotonic
2024-01-10T06:49:41.683037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 12
 
6.2%
16 10
 
5.2%
8 10
 
5.2%
22 8
 
4.2%
5 7
 
3.6%
1 6
 
3.1%
17 5
 
2.6%
9 5
 
2.6%
28 5
 
2.6%
26 5
 
2.6%
Other values (63) 119
62.0%
ValueCountFrequency (%)
0 4
 
2.1%
1 6
3.1%
2 3
 
1.6%
3 3
 
1.6%
4 3
 
1.6%
5 7
3.6%
6 3
 
1.6%
7 12
6.2%
8 10
5.2%
9 5
2.6%
ValueCountFrequency (%)
256 1
0.5%
252 2
1.0%
234 1
0.5%
214 1
0.5%
213 1
0.5%
197 1
0.5%
181 1
0.5%
179 1
0.5%
154 1
0.5%
149 1
0.5%

방생위도
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)81.7%
Missing132
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean36.525901
Minimum36.070794
Maximum36.924714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:41.815333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.070794
5-th percentile36.240001
Q136.362572
median36.574088
Q336.670081
95-th percentile36.733134
Maximum36.924714
Range0.85391996
Interquartile range (IQR)0.30750952

Descriptive statistics

Standard deviation0.18986453
Coefficient of variation (CV)0.0051980794
Kurtosis-0.84069797
Mean36.525901
Median Absolute Deviation (MAD)0.14471823
Skewness-0.24208259
Sum2191.5541
Variance0.036048541
MonotonicityNot monotonic
2024-01-10T06:49:41.911857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
36.67008139 3
 
1.6%
36.65913757 3
 
1.6%
36.32801755 2
 
1.0%
36.71609726 2
 
1.0%
36.24016249 2
 
1.0%
36.35115444 2
 
1.0%
36.66022951 2
 
1.0%
36.50939719 2
 
1.0%
36.39311170000001 2
 
1.0%
36.29276916 1
 
0.5%
Other values (39) 39
 
20.3%
(Missing) 132
68.8%
ValueCountFrequency (%)
36.07079358 1
0.5%
36.21686487 1
0.5%
36.23694245 1
0.5%
36.24016249 2
1.0%
36.24460094 1
0.5%
36.28045331 1
0.5%
36.29276916 1
0.5%
36.29676679 1
0.5%
36.32291504 1
0.5%
36.32801755 2
1.0%
ValueCountFrequency (%)
36.92471354 1
0.5%
36.89335168 1
0.5%
36.74138457 1
0.5%
36.73269995 1
0.5%
36.72352245 1
0.5%
36.71997529 1
0.5%
36.71763735 1
0.5%
36.71609726 2
1.0%
36.69863217 1
0.5%
36.69009433 1
0.5%

방생경도
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)81.7%
Missing132
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean126.71472
Minimum126.34584
Maximum127.25954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:42.229280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.34584
5-th percentile126.45956
Q1126.58981
median126.65514
Q3126.84785
95-th percentile127.02683
Maximum127.25954
Range0.9136965
Interquartile range (IQR)0.2580444

Descriptive statistics

Standard deviation0.1957325
Coefficient of variation (CV)0.0015446705
Kurtosis0.47811747
Mean126.71472
Median Absolute Deviation (MAD)0.1254601
Skewness0.82133522
Sum7602.8834
Variance0.03831121
MonotonicityNot monotonic
2024-01-10T06:49:42.330076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126.85966609999998 3
 
1.6%
126.8125091 3
 
1.6%
126.591606 2
 
1.0%
126.5296801 2
 
1.0%
126.531602 2
 
1.0%
126.59452009999998 2
 
1.0%
126.812534 2
 
1.0%
126.61228529999998 2
 
1.0%
126.5715732 2
 
1.0%
126.5921606 1
 
0.5%
Other values (39) 39
 
20.3%
(Missing) 132
68.8%
ValueCountFrequency (%)
126.3458432 1
0.5%
126.4201928 1
0.5%
126.4515462 1
0.5%
126.45998090000002 1
0.5%
126.5264689 1
0.5%
126.5277281 1
0.5%
126.5296801 2
1.0%
126.531602 2
1.0%
126.5365795 1
0.5%
126.5715732 2
1.0%
ValueCountFrequency (%)
127.2595397 1
0.5%
127.2470079 1
0.5%
127.1448096 1
0.5%
127.0206229 1
0.5%
126.9912994 1
0.5%
126.9870213 1
0.5%
126.9658272 1
0.5%
126.9642735 1
0.5%
126.94944479999998 1
0.5%
126.8896733 1
0.5%

발견장소상세
Text

MISSING 

Distinct147
Distinct (%)84.0%
Missing17
Missing (%)8.9%
Memory size1.6 KiB
2024-01-10T06:49:42.584296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length21
Mean length9.2914286
Min length1

Characters and Unicode

Total characters1626
Distinct characters247
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

Unique137 ?
Unique (%)78.3%

Sample

1st row주소지 확실치 않음
2nd row대천해수욕장 부근 건물 옆
3rd row대천해수욕장
4th row(대천항중앙길 46) 유람선터미널 부근
5th row대천해수욕장
ValueCountFrequency (%)
주소지 35
 
7.6%
부근 34
 
7.4%
18
 
3.9%
14
 
3.0%
도로 14
 
3.0%
농수로 13
 
2.8%
10
 
2.2%
도로변 10
 
2.2%
10
 
2.2%
건물 9
 
2.0%
Other values (209) 293
63.7%
2024-01-10T06:49:42.957084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
293
 
18.0%
60
 
3.7%
58
 
3.6%
57
 
3.5%
50
 
3.1%
47
 
2.9%
42
 
2.6%
39
 
2.4%
30
 
1.8%
30
 
1.8%
Other values (237) 920
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1232
75.8%
Space Separator 293
 
18.0%
Decimal Number 57
 
3.5%
Open Punctuation 17
 
1.0%
Close Punctuation 17
 
1.0%
Dash Punctuation 6
 
0.4%
Other Punctuation 2
 
0.1%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
60
 
4.9%
58
 
4.7%
57
 
4.6%
50
 
4.1%
47
 
3.8%
42
 
3.4%
39
 
3.2%
30
 
2.4%
30
 
2.4%
28
 
2.3%
Other values (220) 791
64.2%
Decimal Number
ValueCountFrequency (%)
1 14
24.6%
2 8
14.0%
8 7
12.3%
0 6
10.5%
6 5
 
8.8%
3 5
 
8.8%
9 5
 
8.8%
7 3
 
5.3%
5 2
 
3.5%
4 2
 
3.5%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
293
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1232
75.8%
Common 392
 
24.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
60
 
4.9%
58
 
4.7%
57
 
4.6%
50
 
4.1%
47
 
3.8%
42
 
3.4%
39
 
3.2%
30
 
2.4%
30
 
2.4%
28
 
2.3%
Other values (220) 791
64.2%
Common
ValueCountFrequency (%)
293
74.7%
( 17
 
4.3%
) 17
 
4.3%
1 14
 
3.6%
2 8
 
2.0%
8 7
 
1.8%
0 6
 
1.5%
- 6
 
1.5%
6 5
 
1.3%
3 5
 
1.3%
Other values (5) 14
 
3.6%
Latin
ValueCountFrequency (%)
c 1
50.0%
i 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1232
75.8%
ASCII 394
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
293
74.4%
( 17
 
4.3%
) 17
 
4.3%
1 14
 
3.6%
2 8
 
2.0%
8 7
 
1.8%
0 6
 
1.5%
- 6
 
1.5%
6 5
 
1.3%
3 5
 
1.3%
Other values (7) 16
 
4.1%
Hangul
ValueCountFrequency (%)
60
 
4.9%
58
 
4.7%
57
 
4.6%
50
 
4.1%
47
 
3.8%
42
 
3.4%
39
 
3.2%
30
 
2.4%
30
 
2.4%
28
 
2.3%
Other values (220) 791
64.2%
Distinct172
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T06:49:43.251287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.921875
Min length15

Characters and Unicode

Total characters3825
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

Unique163 ?
Unique (%)84.9%

Sample

1st row충청남도 보령시 웅천읍 두룡리 539-2
2nd row충청남도 보령시 신흑동 2284-4
3rd row충청남도 보령시 신흑동 2107
4th row충청남도 보령시 신흑동 2240-12
5th row충청남도 보령시 신흑동 2267-3
ValueCountFrequency (%)
충청남도 192
21.9%
보령시 192
21.9%
웅천읍 22
 
2.5%
주교면 19
 
2.2%
신흑동 18
 
2.1%
남포면 17
 
1.9%
대천동 15
 
1.7%
오천면 15
 
1.7%
죽정동 13
 
1.5%
동대동 11
 
1.3%
Other values (239) 364
41.5%
2024-01-10T06:49:43.638172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
699
18.3%
210
 
5.5%
209
 
5.5%
201
 
5.3%
196
 
5.1%
194
 
5.1%
193
 
5.0%
192
 
5.0%
1 134
 
3.5%
- 131
 
3.4%
Other values (100) 1466
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2272
59.4%
Decimal Number 723
 
18.9%
Space Separator 699
 
18.3%
Dash Punctuation 131
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
210
 
9.2%
209
 
9.2%
201
 
8.8%
196
 
8.6%
194
 
8.5%
193
 
8.5%
192
 
8.5%
103
 
4.5%
92
 
4.0%
86
 
3.8%
Other values (88) 596
26.2%
Decimal Number
ValueCountFrequency (%)
1 134
18.5%
2 105
14.5%
3 83
11.5%
6 69
9.5%
4 68
9.4%
5 68
9.4%
8 53
 
7.3%
7 51
 
7.1%
0 50
 
6.9%
9 42
 
5.8%
Space Separator
ValueCountFrequency (%)
699
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2272
59.4%
Common 1553
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
210
 
9.2%
209
 
9.2%
201
 
8.8%
196
 
8.6%
194
 
8.5%
193
 
8.5%
192
 
8.5%
103
 
4.5%
92
 
4.0%
86
 
3.8%
Other values (88) 596
26.2%
Common
ValueCountFrequency (%)
699
45.0%
1 134
 
8.6%
- 131
 
8.4%
2 105
 
6.8%
3 83
 
5.3%
6 69
 
4.4%
4 68
 
4.4%
5 68
 
4.4%
8 53
 
3.4%
7 51
 
3.3%
Other values (2) 92
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2272
59.4%
ASCII 1553
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
699
45.0%
1 134
 
8.6%
- 131
 
8.4%
2 105
 
6.8%
3 83
 
5.3%
6 69
 
4.4%
4 68
 
4.4%
5 68
 
4.4%
8 53
 
3.4%
7 51
 
3.3%
Other values (2) 92
 
5.9%
Hangul
ValueCountFrequency (%)
210
 
9.2%
209
 
9.2%
201
 
8.8%
196
 
8.6%
194
 
8.5%
193
 
8.5%
192
 
8.5%
103
 
4.5%
92
 
4.0%
86
 
3.8%
Other values (88) 596
26.2%
Distinct7
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
건물옆
73 
도로변
47 
농경지
25 
강, 바다
21 
15 
Other values (2)
11 

Length

Max length5
Median length3
Mean length3.0052083
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row건물옆
3rd row강, 바다
4th row건물옆
5th row강, 바다

Common Values

ValueCountFrequency (%)
건물옆 73
38.0%
도로변 47
24.5%
농경지 25
 
13.0%
강, 바다 21
 
10.9%
15
 
7.8%
기타 8
 
4.2%
전선 3
 
1.6%

Length

2024-01-10T06:49:43.759799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:49:43.859521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 73
34.3%
도로변 47
22.1%
농경지 25
 
11.7%
21
 
9.9%
바다 21
 
9.9%
15
 
7.0%
기타 8
 
3.8%
전선 3
 
1.4%

발생원인
Categorical

Distinct19
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
전선/건물과의 충돌
53 
차량과의 충돌
39 
어미를 잃음(미아)
31 
인공구조물에 얽힘
11 
기생충 중감염
11 
Other values (14)
47 

Length

Max length11
Median length10
Mean length8.4427083
Min length1

Unique

Unique6 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
전선/건물과의 충돌 53
27.6%
차량과의 충돌 39
20.3%
어미를 잃음(미아) 31
16.1%
인공구조물에 얽힘 11
 
5.7%
기생충 중감염 11
 
5.7%
농수로 고립 10
 
5.2%
알 수 없는 사고 9
 
4.7%
인공구조물 침입·고립 7
 
3.6%
개, 고양이 공격 4
 
2.1%
낚시 쓰레기 4
 
2.1%
Other values (9) 13
 
6.8%

Length

2024-01-10T06:49:43.952657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 92
22.9%
전선/건물과의 53
13.2%
차량과의 39
 
9.7%
어미를 31
 
7.7%
잃음(미아 31
 
7.7%
인공구조물에 11
 
2.7%
얽힘 11
 
2.7%
기생충 11
 
2.7%
중감염 11
 
2.7%
사고 10
 
2.5%
Other values (25) 102
25.4%
Distinct105
Distinct (%)55.0%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-01-10T06:49:44.174644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length30
Mean length10.596859
Min length1

Characters and Unicode

Total characters2024
Distinct characters194
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

Unique77 ?
Unique (%)40.3%

Sample

1st row어미를 잃음
2nd row전선/또는 건물과의 충돌 후 시간이 경과한 것으로 보임
3rd row추후 기재
4th row전선 충돌 추정
5th row전선 충돌 추정
ValueCountFrequency (%)
충돌 65
 
11.6%
추정 42
 
7.5%
어미를 22
 
3.9%
차량과의 20
 
3.6%
잃음(미아 17
 
3.0%
차량충돌 15
 
2.7%
미아 12
 
2.2%
농수로 11
 
2.0%
10
 
1.8%
유리 10
 
1.8%
Other values (157) 334
59.9%
2024-01-10T06:49:44.520662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
386
 
19.1%
118
 
5.8%
100
 
4.9%
56
 
2.8%
49
 
2.4%
45
 
2.2%
45
 
2.2%
45
 
2.2%
44
 
2.2%
39
 
1.9%
Other values (184) 1097
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1550
76.6%
Space Separator 386
 
19.1%
Other Punctuation 34
 
1.7%
Close Punctuation 26
 
1.3%
Open Punctuation 26
 
1.3%
Lowercase Letter 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
118
 
7.6%
100
 
6.5%
56
 
3.6%
49
 
3.2%
45
 
2.9%
45
 
2.9%
45
 
2.9%
44
 
2.8%
39
 
2.5%
38
 
2.5%
Other values (175) 971
62.6%
Other Punctuation
ValueCountFrequency (%)
/ 24
70.6%
, 7
 
20.6%
? 2
 
5.9%
. 1
 
2.9%
Space Separator
ValueCountFrequency (%)
386
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1550
76.6%
Common 472
 
23.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
118
 
7.6%
100
 
6.5%
56
 
3.6%
49
 
3.2%
45
 
2.9%
45
 
2.9%
45
 
2.9%
44
 
2.8%
39
 
2.5%
38
 
2.5%
Other values (175) 971
62.6%
Common
ValueCountFrequency (%)
386
81.8%
) 26
 
5.5%
( 26
 
5.5%
/ 24
 
5.1%
, 7
 
1.5%
? 2
 
0.4%
. 1
 
0.2%
Latin
ValueCountFrequency (%)
t 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1550
76.6%
ASCII 474
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
386
81.4%
) 26
 
5.5%
( 26
 
5.5%
/ 24
 
5.1%
, 7
 
1.5%
? 2
 
0.4%
. 1
 
0.2%
t 1
 
0.2%
L 1
 
0.2%
Hangul
ValueCountFrequency (%)
118
 
7.6%
100
 
6.5%
56
 
3.6%
49
 
3.2%
45
 
2.9%
45
 
2.9%
45
 
2.9%
44
 
2.8%
39
 
2.5%
38
 
2.5%
Other values (175) 971
62.6%
Distinct162
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T06:49:44.777708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1920
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

Unique145 ?
Unique (%)75.5%

Sample

1st row36 14 38.6
2nd row36 18 54.4
3rd row36 19 20.2
4th row36 19 37.5
5th row36 18 20.2
ValueCountFrequency (%)
36 192
33.3%
21 35
 
6.1%
20 33
 
5.7%
19 22
 
3.8%
18 17
 
3.0%
14 14
 
2.4%
22 12
 
2.1%
23 9
 
1.6%
16 8
 
1.4%
26 8
 
1.4%
Other values (154) 226
39.2%
2024-01-10T06:49:45.128513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
20.0%
3 277
14.4%
6 264
13.8%
. 192
10.0%
2 187
9.7%
1 171
8.9%
0 119
 
6.2%
4 86
 
4.5%
5 84
 
4.4%
9 60
 
3.1%
Other values (2) 96
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1344
70.0%
Space Separator 384
 
20.0%
Other Punctuation 192
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 277
20.6%
6 264
19.6%
2 187
13.9%
1 171
12.7%
0 119
8.9%
4 86
 
6.4%
5 84
 
6.2%
9 60
 
4.5%
8 50
 
3.7%
7 46
 
3.4%
Space Separator
ValueCountFrequency (%)
384
100.0%
Other Punctuation
ValueCountFrequency (%)
. 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
384
20.0%
3 277
14.4%
6 264
13.8%
. 192
10.0%
2 187
9.7%
1 171
8.9%
0 119
 
6.2%
4 86
 
4.5%
5 84
 
4.4%
9 60
 
3.1%
Other values (2) 96
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
20.0%
3 277
14.4%
6 264
13.8%
. 192
10.0%
2 187
9.7%
1 171
8.9%
0 119
 
6.2%
4 86
 
4.5%
5 84
 
4.4%
9 60
 
3.1%
Other values (2) 96
 
5.0%
Distinct165
Distinct (%)85.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-01-10T06:49:45.395106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2112
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

Unique151 ?
Unique (%)78.6%

Sample

1st row126 34 59.1
2nd row126 30 43.5
3rd row126 31 35.0
4th row126 30 41.3
5th row126 30 58.0
ValueCountFrequency (%)
126 192
33.3%
35 40
 
6.9%
36 40
 
6.9%
31 20
 
3.5%
32 18
 
3.1%
30 14
 
2.4%
34 13
 
2.3%
39 8
 
1.4%
40.3 7
 
1.2%
38 7
 
1.2%
Other values (149) 217
37.7%
2024-01-10T06:49:45.746890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
384
18.2%
1 284
13.4%
2 283
13.4%
6 269
12.7%
3 254
12.0%
. 192
9.1%
4 106
 
5.0%
0 99
 
4.7%
5 96
 
4.5%
8 58
 
2.7%
Other values (2) 87
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1536
72.7%
Space Separator 384
 
18.2%
Other Punctuation 192
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 284
18.5%
2 283
18.4%
6 269
17.5%
3 254
16.5%
4 106
 
6.9%
0 99
 
6.4%
5 96
 
6.2%
8 58
 
3.8%
9 51
 
3.3%
7 36
 
2.3%
Space Separator
ValueCountFrequency (%)
384
100.0%
Other Punctuation
ValueCountFrequency (%)
. 192
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2112
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
384
18.2%
1 284
13.4%
2 283
13.4%
6 269
12.7%
3 254
12.0%
. 192
9.1%
4 106
 
5.0%
0 99
 
4.7%
5 96
 
4.5%
8 58
 
2.7%
Other values (2) 87
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2112
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
384
18.2%
1 284
13.4%
2 283
13.4%
6 269
12.7%
3 254
12.0%
. 192
9.1%
4 106
 
5.0%
0 99
 
4.7%
5 96
 
4.5%
8 58
 
2.7%
Other values (2) 87
 
4.1%
Distinct54
Distinct (%)90.0%
Missing132
Missing (%)68.8%
Memory size1.6 KiB
2024-01-10T06:49:45.929558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters600
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)80.0%

Sample

1st row36 39 23.1
2nd row36 12 59.0
3rd row36 23 23.5
4th row36 40 59.7
5th row36 41 54.9
ValueCountFrequency (%)
36 61
33.9%
39 7
 
3.9%
40 7
 
3.9%
21 4
 
2.2%
24 4
 
2.2%
14 4
 
2.2%
43 4
 
2.2%
23 3
 
1.7%
30 3
 
1.7%
38 3
 
1.7%
Other values (68) 80
44.4%
2024-01-10T06:49:46.200384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
20.0%
3 116
19.3%
6 75
12.5%
4 61
10.2%
. 60
10.0%
2 39
 
6.5%
1 31
 
5.2%
0 24
 
4.0%
9 22
 
3.7%
5 22
 
3.7%
Other values (2) 30
 
5.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 116
27.6%
6 75
17.9%
4 61
14.5%
2 39
 
9.3%
1 31
 
7.4%
0 24
 
5.7%
9 22
 
5.2%
5 22
 
5.2%
8 15
 
3.6%
7 15
 
3.6%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 600
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
120
20.0%
3 116
19.3%
6 75
12.5%
4 61
10.2%
. 60
10.0%
2 39
 
6.5%
1 31
 
5.2%
0 24
 
4.0%
9 22
 
3.7%
5 22
 
3.7%
Other values (2) 30
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 600
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
20.0%
3 116
19.3%
6 75
12.5%
4 61
10.2%
. 60
10.0%
2 39
 
6.5%
1 31
 
5.2%
0 24
 
4.0%
9 22
 
3.7%
5 22
 
3.7%
Other values (2) 30
 
5.0%
Distinct55
Distinct (%)91.7%
Missing132
Missing (%)68.8%
Memory size1.6 KiB
2024-01-10T06:49:46.379936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters660
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)83.3%

Sample

1st row126 27 04.3
2nd row126 36 43.3
3rd row126 38 57.5
4th row126 49 13.3
5th row126 27 05.3
ValueCountFrequency (%)
126 56
31.1%
35 8
 
4.4%
51 6
 
3.3%
31 6
 
3.3%
36 5
 
2.8%
48 5
 
2.8%
127 4
 
2.2%
34 3
 
1.7%
38.9 3
 
1.7%
40 3
 
1.7%
Other values (70) 81
45.0%
2024-01-10T06:49:46.659272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
18.2%
1 88
13.3%
2 88
13.3%
6 75
11.4%
. 60
9.1%
3 57
8.6%
5 46
 
7.0%
4 43
 
6.5%
7 28
 
4.2%
0 22
 
3.3%
Other values (2) 33
 
5.0%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 88
18.3%
2 88
18.3%
6 75
15.6%
3 57
11.9%
5 46
9.6%
4 43
9.0%
7 28
 
5.8%
0 22
 
4.6%
8 20
 
4.2%
9 13
 
2.7%
Space Separator
ValueCountFrequency (%)
120
100.0%
Other Punctuation
ValueCountFrequency (%)
. 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 660
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
120
18.2%
1 88
13.3%
2 88
13.3%
6 75
11.4%
. 60
9.1%
3 57
8.6%
5 46
 
7.0%
4 43
 
6.5%
7 28
 
4.2%
0 22
 
3.3%
Other values (2) 33
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 660
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
18.2%
1 88
13.3%
2 88
13.3%
6 75
11.4%
. 60
9.1%
3 57
8.6%
5 46
 
7.0%
4 43
 
6.5%
7 28
 
4.2%
0 22
 
3.3%
Other values (2) 33
 
5.0%

등록체중
Real number (ℝ)

ZEROS 

Distinct160
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2574.2708
Minimum0
Maximum25280
Zeros12
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:46.779797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1103
median486
Q31928
95-th percentile15172
Maximum25280
Range25280
Interquartile range (IQR)1825

Descriptive statistics

Standard deviation4801.2505
Coefficient of variation (CV)1.8650914
Kurtosis4.8375364
Mean2574.2708
Median Absolute Deviation (MAD)433
Skewness2.3573917
Sum494260
Variance23052006
MonotonicityNot monotonic
2024-01-10T06:49:46.895404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
6.2%
103 6
 
3.1%
64 3
 
1.6%
170 3
 
1.6%
70 2
 
1.0%
586 2
 
1.0%
692 2
 
1.0%
152 2
 
1.0%
94 2
 
1.0%
2480 2
 
1.0%
Other values (150) 156
81.2%
ValueCountFrequency (%)
0 12
6.2%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
10 1
 
0.5%
14 2
 
1.0%
18 1
 
0.5%
24 1
 
0.5%
27 1
 
0.5%
ValueCountFrequency (%)
25280 1
0.5%
18400 1
0.5%
18260 1
0.5%
16700 1
0.5%
16360 1
0.5%
15980 1
0.5%
15940 1
0.5%
15780 1
0.5%
15340 1
0.5%
15260 1
0.5%

현재체중
Real number (ℝ)

ZEROS 

Distinct162
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2629.1771
Minimum0
Maximum25280
Zeros12
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-01-10T06:49:46.997495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1155
median506
Q32233
95-th percentile15172
Maximum25280
Range25280
Interquartile range (IQR)2078

Descriptive statistics

Standard deviation4786.1344
Coefficient of variation (CV)1.8203926
Kurtosis4.8249953
Mean2629.1771
Median Absolute Deviation (MAD)464.5
Skewness2.3474267
Sum504802
Variance22907083
MonotonicityNot monotonic
2024-01-10T06:49:47.103732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
6.2%
206 4
 
2.1%
170 3
 
1.6%
196 3
 
1.6%
194 3
 
1.6%
112 2
 
1.0%
214 2
 
1.0%
20 2
 
1.0%
68 2
 
1.0%
452 2
 
1.0%
Other values (152) 157
81.8%
ValueCountFrequency (%)
0 12
6.2%
4 1
 
0.5%
5 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
10 1
 
0.5%
13 1
 
0.5%
14 1
 
0.5%
16 1
 
0.5%
17 1
 
0.5%
ValueCountFrequency (%)
25280 1
0.5%
18400 1
0.5%
18260 1
0.5%
16700 1
0.5%
16360 1
0.5%
15980 1
0.5%
15940 1
0.5%
15780 1
0.5%
15340 1
0.5%
15260 1
0.5%
Distinct161
Distinct (%)84.3%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-01-10T06:49:47.315982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length27
Mean length13.958115
Min length2

Characters and Unicode

Total characters2666
Distinct characters251
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

Unique151 ?
Unique (%)79.1%

Sample

1st row기력 쇠약
2nd row좌측 견관절 탈구
3rd row충돌에 의한 좌측 상완골 개방골절
4th row충돌에 의한 우측 요척골 원위부 폐쇄골절
5th row기아 및 탈진
ValueCountFrequency (%)
의한 53
 
7.0%
37
 
4.9%
충돌에 37
 
4.9%
좌측 32
 
4.2%
미아 29
 
3.8%
골절 28
 
3.7%
우측 22
 
2.9%
개방골절 19
 
2.5%
뇌진탕 19
 
2.5%
추정 14
 
1.8%
Other values (251) 470
61.8%
2024-01-10T06:49:47.626659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
571
 
21.4%
130
 
4.9%
82
 
3.1%
74
 
2.8%
62
 
2.3%
61
 
2.3%
61
 
2.3%
59
 
2.2%
51
 
1.9%
48
 
1.8%
Other values (241) 1467
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1943
72.9%
Space Separator 571
 
21.4%
Lowercase Letter 53
 
2.0%
Other Punctuation 35
 
1.3%
Close Punctuation 17
 
0.6%
Open Punctuation 17
 
0.6%
Uppercase Letter 13
 
0.5%
Decimal Number 13
 
0.5%
Math Symbol 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
130
 
6.7%
82
 
4.2%
74
 
3.8%
62
 
3.2%
61
 
3.1%
61
 
3.1%
59
 
3.0%
51
 
2.6%
48
 
2.5%
47
 
2.4%
Other values (205) 1268
65.3%
Lowercase Letter
ValueCountFrequency (%)
t 7
13.2%
n 7
13.2%
i 6
11.3%
o 6
11.3%
a 5
9.4%
e 4
7.5%
r 4
7.5%
s 2
 
3.8%
u 2
 
3.8%
c 2
 
3.8%
Other values (7) 8
15.1%
Uppercase Letter
ValueCountFrequency (%)
L 7
53.8%
R 2
 
15.4%
B 1
 
7.7%
C 1
 
7.7%
H 1
 
7.7%
T 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
3 4
30.8%
2 3
23.1%
6 2
15.4%
4 2
15.4%
1 1
 
7.7%
5 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 21
60.0%
/ 12
34.3%
. 2
 
5.7%
Space Separator
ValueCountFrequency (%)
571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1943
72.9%
Common 657
 
24.6%
Latin 66
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
130
 
6.7%
82
 
4.2%
74
 
3.8%
62
 
3.2%
61
 
3.1%
61
 
3.1%
59
 
3.0%
51
 
2.6%
48
 
2.5%
47
 
2.4%
Other values (205) 1268
65.3%
Latin
ValueCountFrequency (%)
t 7
10.6%
n 7
10.6%
L 7
10.6%
i 6
 
9.1%
o 6
 
9.1%
a 5
 
7.6%
e 4
 
6.1%
r 4
 
6.1%
R 2
 
3.0%
s 2
 
3.0%
Other values (13) 16
24.2%
Common
ValueCountFrequency (%)
571
86.9%
, 21
 
3.2%
) 17
 
2.6%
( 17
 
2.6%
/ 12
 
1.8%
~ 4
 
0.6%
3 4
 
0.6%
2 3
 
0.5%
6 2
 
0.3%
. 2
 
0.3%
Other values (3) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1943
72.9%
ASCII 723
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
571
79.0%
, 21
 
2.9%
) 17
 
2.4%
( 17
 
2.4%
/ 12
 
1.7%
t 7
 
1.0%
n 7
 
1.0%
L 7
 
1.0%
i 6
 
0.8%
o 6
 
0.8%
Other values (26) 52
 
7.2%
Hangul
ValueCountFrequency (%)
130
 
6.7%
82
 
4.2%
74
 
3.8%
62
 
3.2%
61
 
3.1%
61
 
3.1%
59
 
3.0%
51
 
2.6%
48
 
2.5%
47
 
2.4%
Other values (205) 1268
65.3%

Sample

접수번호동물국문명천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-1266조강(Aves)닭목꿩과해당없음해당없음해당없음2019-08-032019-08-032019-08-032019-08-05폐사<NA>기타UnknownNestling36.244056126.58308335<NA><NA>주소지 확실치 않음충청남도 보령시 웅천읍 두룡리 539-2어미를 잃음(미아)어미를 잃음36 14 38.6126 34 59.1<NA><NA>1414기력 쇠약
12019-1054괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-152019-07-15안락사<NA>기타UnknownJuvenile36.315111126.5120838<NA><NA>대천해수욕장 부근 건물 옆충청남도 보령시 신흑동 2284-4건물옆전선/건물과의 충돌전선/또는 건물과의 충돌 후 시간이 경과한 것으로 보임36 18 54.4126 30 43.5<NA><NA>232232좌측 견관절 탈구
22019-1125괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-232019-08-13안락사<NA>기타UnknownAdult36.322278126.52638931<NA><NA>대천해수욕장충청남도 보령시 신흑동 2107강, 바다전선/건물과의 충돌추후 기재36 19 20.2126 31 35.0<NA><NA>524504충돌에 의한 좌측 상완골 개방골절
32019-1141괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-252019-09-10방생충청남도 서산시 고북면 사기리 1109<NA>UnknownJuvenile36.327083126.511472036.657386126.459981(대천항중앙길 46) 유람선터미널 부근충청남도 보령시 신흑동 2240-12건물옆전선/건물과의 충돌전선 충돌 추정36 19 37.5126 30 41.336 39 23.1126 27 04.3408444충돌에 의한 우측 요척골 원위부 폐쇄골절
42019-1339괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-08-242019-09-01폐사<NA>기타UnknownJuvenile36.305611126.5161119<NA><NA>대천해수욕장충청남도 보령시 신흑동 2267-3강, 바다전선/건물과의 충돌전선 충돌 추정36 18 20.2126 30 58.0<NA><NA>468386기아 및 탈진
52019-1359괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-08-302019-09-02안락사<NA>기타UnknownUnknown36.311611126.5128338<NA><NA><NA>충청남도 보령시 신흑동 2107강, 바다전선/건물과의 충돌전선충돌 추정36 18 41.8126 30 46.2<NA><NA>530454충돌에 의한 우측 날개 신경 손상(추정) 및 흉근 피부 열상, 좌측 견갑골 골절
62019-0007황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2019-01-022019-01-17방생충청남도 보령시 주산면 주야리 558-10<NA>MaleAdult36.203861126.6230833536.216865126.611976강산건설 건물 유리창 아래충청남도 보령시 주산면 야룡리 244-2건물옆전선/건물과의 충돌강산건설 건물 유리창 아래에서 발견됨36 12 13.9126 37 23.136 12 59.0126 36 43.3166218충돌에 의한 좌측 견갑골 골절 및 흉근 좌상
72019-1443황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2019-09-242019-10-09방생충청남도 보령시 청라면 의평리 593<NA>UnknownUnknown36.347694126.6110832836.389865126.649381어영차바다야 횟집충청남도 보령시 동대동 340-13건물옆전선/건물과의 충돌건물 충돌 추정36 20 51.7126 36 39.936 23 23.5126 38 57.5174202좌측 견관절 탈구(추정)
82019-0140참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-03-132019-03-18안락사<NA>기타Female(?)Adult36.305126.61616784<NA><NA>(읍성향교길 108-8) 주소지 부근 건물 옆충청남도 보령시 남포면 옥동리 58건물옆전선/건물과의 충돌건물 충돌 추정36 18 18.0126 36 58.2<NA><NA>822810척추 골절
92019-0146참매조강(Aves)매목수리과323-12 급부속서 2종<NA><NA>2019-03-172019-03-18DOA<NA>기타Female(?)Adult36.348361126.60691715<NA><NA>건물 주변충청남도 보령시 동대동 1622건물옆전선/건물과의 충돌유리창 충돌 추정36 20 54.1126 36 24.9<NA><NA>644644충돌로 인한 뇌진탕 및 두부외상
접수번호동물국문명천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
1822021-2050고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-12-202021-12-20DOA<NA>기타Female0년0월0일36.329361126.53708318<NA><NA>주소지 뒷편 밭충청남도 보령시 배달골길 53-10농경지인공구조물에 얽힘인공구조물에 얽힘/밭그물 얽힘36 19 45.7126 32 13.5<NA><NA>1012010120원인불명의 후지마비
1832021-0194너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-02-132021-02-14DOA<NA>기타Male0년0월0일36.229833126.532524<NA><NA>주소지 부근 도로와 풀숲 경계충청남도 보령시 웅천읍 독산리 726기생충 중감염기생충 중감염/개선충 감염36 13 47.4126 31 57.0<NA><NA>29802980개선충 중감염, 저체온
1842021-0234너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-03-022021-04-29방생충청남도 예산군 예산읍 대회리 1<NA>Female0년0월0일36.309917126.5994445036.670081126.859666공장 앞 마당충청남도 보령시 남포면 옥동리 305-11건물옆기생충 중감염기생충 중감염/개선충 감염36 18 35.7126 35 58.036 40 12.2126 51 50.548803580개선충 중감염, 항문주위 열상
1852021-0257너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-03-132021-03-15폐사<NA>기타Unknown0년0월0일36.410972126.5217516<NA><NA>주소지 부근 민가 옆충청남도 보령시 오천면 오포리 661-16건물옆기생충 중감염기생충 중감염/개선충 감염36 24 39.5126 31 18.3<NA><NA>32203520기생충 중감염
1862021-0401너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-04-192021-04-19안락사<NA>기타Female0년0월0일36.347111126.66475181<NA><NA>도로변충청남도 보령시 성주면 성주리 65-21도로변차량과의 충돌차량과의 충돌36 20 49.6126 39 53.1<NA><NA>46004600두개골 골절, 하악골절, 좌측상완골절
1872021-1350너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-07-182021-07-20폐사<NA>기타Female0년2월0일36.277417126.53844413<NA><NA>상화원 단지 내부충청남도 보령시 남포면 월전리 844-7기생충 중감염개선충 중감염36 16 38.7126 32 18.4<NA><NA>724746미아 및 개선충
1882021-1984너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-012021-12-19폐사<NA>기타Male0년0월0일36.277722126.5388067<NA><NA>길고양이집충청남도 보령시 남포면 월전리 843-15건물옆기생충 중감염기생충 중감염/개선충36 16 39.8126 32 19.7<NA><NA>40803140개선충 중감염
1892021-0321수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-04-022021-04-05안락사<NA>기타Male0년0월0일36.304139126.61669496<NA><NA>저수지와 산지 경계 부근충청남도 보령시 남포면 옥동리 35덫/칭애36 18 14.9126 37 00.1<NA><NA>50005000좌측 주관절탈구, 좌측 요척골 골절
1902021-1478수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-08-052021-08-05DOA<NA>기타Unknown0년0월0일36.298444126.26161113<NA><NA>녹도충청남도 보령시 오천면 녹도리기타개, 고양이 공격개, 고양이 공격36 17 54.4126 15 41.8<NA><NA>57605760안면부 심한 교상 및 승저증
1912021-0345다람쥐포유강(Mammalia)쥐목청서과해당없음해당없음해당없음<NA><NA>2021-04-092021-05-20방생충청남도 예산군 예산읍 향천리 54<NA>Unknown0년0월0일36.388972126.64055536.690094126.862688둘레길 중앙충청남도 보령시 청라면 의평리 774-7도로변어미를 잃음(미아)어미를 잃음(미아)36 23 20.3126 38 25.836 41 24.0126 51 46.12765탈진 추정