Overview

Dataset statistics

Number of variables34
Number of observations593
Missing cells3108
Missing cells (%)15.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory161.7 KiB
Average record size in memory279.2 B

Variable types

Text11
Categorical12
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 예산군 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=69&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109276

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (75.0%)Imbalance
멸종위기등급 is highly imbalanced (70.8%)Imbalance
야생동물보호협약 is highly imbalanced (60.7%)Imbalance
발견일시 has 592 (99.8%) missing valuesMissing
접수일시 has 592 (99.8%) missing valuesMissing
이첩 방생 위치 has 364 (61.4%) missing valuesMissing
방생위도 has 372 (62.7%) missing valuesMissing
방생경도 has 372 (62.7%) missing valuesMissing
발견장소상세 has 84 (14.2%) missing valuesMissing
방생위도(TM방생위도) has 364 (61.4%) missing valuesMissing
방생경도(TM방생경도) has 364 (61.4%) missing valuesMissing
접수번호 has unique valuesUnique
등록체중 has 127 (21.4%) zerosZeros
현재체중 has 133 (22.4%) zerosZeros

Reproduction

Analysis started2024-01-09 22:55:29.646079
Analysis finished2024-01-09 22:55:30.969796
Duration1.32 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct593
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-01-10T07:55:31.194621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters5337
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

Unique593 ?
Unique (%)100.0%

Sample

1st row2019-0046
2nd row2019-0749
3rd row2019-0750
4th row2019-0751
5th row2019-0752
ValueCountFrequency (%)
2019-0046 1
 
0.2%
2021-0088 1
 
0.2%
2021-0983 1
 
0.2%
2021-0138 1
 
0.2%
2021-0195 1
 
0.2%
2021-0749 1
 
0.2%
2021-0778 1
 
0.2%
2021-0981 1
 
0.2%
2021-0982 1
 
0.2%
2021-0984 1
 
0.2%
Other values (583) 583
98.3%
2024-01-10T07:55:31.612049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1295
24.3%
2 1169
21.9%
1 851
15.9%
- 593
11.1%
9 351
 
6.6%
5 212
 
4.0%
7 186
 
3.5%
4 173
 
3.2%
8 172
 
3.2%
3 168
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4744
88.9%
Dash Punctuation 593
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1295
27.3%
2 1169
24.6%
1 851
17.9%
9 351
 
7.4%
5 212
 
4.5%
7 186
 
3.9%
4 173
 
3.6%
8 172
 
3.6%
3 168
 
3.5%
6 167
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5337
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1295
24.3%
2 1169
21.9%
1 851
15.9%
- 593
11.1%
9 351
 
6.6%
5 212
 
4.0%
7 186
 
3.5%
4 173
 
3.2%
8 172
 
3.2%
3 168
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1295
24.3%
2 1169
21.9%
1 851
15.9%
- 593
11.1%
9 351
 
6.6%
5 212
 
4.0%
7 186
 
3.5%
4 173
 
3.2%
8 172
 
3.2%
3 168
 
3.1%

동물국문명
Text

Distinct73
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-01-10T07:55:31.842358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.2698145
Min length1

Characters and Unicode

Total characters1939
Distinct characters115
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)3.7%

Sample

1st row흰뺨검둥오리
2nd row흰뺨검둥오리
3rd row흰뺨검둥오리
4th row흰뺨검둥오리
5th row흰뺨검둥오리
ValueCountFrequency (%)
고라니 146
24.6%
참새 48
 
8.1%
멧비둘기 38
 
6.4%
너구리 37
 
6.2%
제비 30
 
5.1%
흰뺨검둥오리 26
 
4.4%
수리부엉이 24
 
4.0%
까치 22
 
3.7%
꿩 17
 
2.9%
황조롱이 17
 
2.9%
Other values (63) 188
31.7%
2024-01-10T07:55:32.161304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 148
 
7.6%
니 148
 
7.6%
라 147
 
7.6%
리 128
 
6.6%
새 103
 
5.3%
비 85
 
4.4%
기 68
 
3.5%
이 63
 
3.2%
참 51
 
2.6%
둘 51
 
2.6%
Other values (105) 947
48.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1936
99.8%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 148
 
7.6%
니 148
 
7.6%
라 147
 
7.6%
리 128
 
6.6%
새 103
 
5.3%
비 85
 
4.4%
기 68
 
3.5%
이 63
 
3.3%
참 51
 
2.6%
둘 51
 
2.6%
Other values (104) 944
48.8%
Other Symbol
ValueCountFrequency (%)
㉵ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1939
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 148
 
7.6%
니 148
 
7.6%
라 147
 
7.6%
리 128
 
6.6%
새 103
 
5.3%
비 85
 
4.4%
기 68
 
3.5%
이 63
 
3.2%
참 51
 
2.6%
둘 51
 
2.6%
Other values (105) 947
48.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1936
99.8%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 148
 
7.6%
니 148
 
7.6%
라 147
 
7.6%
리 128
 
6.6%
새 103
 
5.3%
비 85
 
4.4%
기 68
 
3.5%
이 63
 
3.3%
참 51
 
2.6%
둘 51
 
2.6%
Other values (104) 944
48.8%
None
ValueCountFrequency (%)
㉵ 3
100.0%

강
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
조강(Aves)
378 
포유강(Mammalia)
209 
파충강(Reptilia)
 
6

Length

Max length13
Median length8
Mean length9.8128162
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) 378
63.7%
포유강(Mammalia) 209
35.2%
파충강(Reptilia) 6
 
1.0%

Length

2024-01-10T07:55:32.288796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:32.377444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 378
63.7%
포유강(mammalia 209
35.2%
파충강(reptilia 6
 
1.0%

목
Categorical

Distinct19
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
참새목
168 
소목
146 
비둘기목
51 
식육목
49 
기러기목
39 
Other values (14)
140 

Length

Max length5
Median length4
Mean length2.9055649
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
참새목 168
28.3%
소목 146
24.6%
비둘기목 51
 
8.6%
식육목 49
 
8.3%
기러기목 39
 
6.6%
올빼미목 38
 
6.4%
매목 37
 
6.2%
닭목 17
 
2.9%
황새목 10
 
1.7%
딱다구리목 8
 
1.3%
Other values (9) 30
 
5.1%

Length

2024-01-10T07:55:32.478446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참새목 168
28.3%
소목 146
24.6%
비둘기목 51
 
8.6%
식육목 49
 
8.3%
기러기목 39
 
6.6%
올빼미목 38
 
6.4%
매목 37
 
6.2%
닭목 17
 
2.9%
황새목 10
 
1.7%
딱다구리목 8
 
1.3%
Other values (9) 30
 
5.1%

과
Categorical

Distinct39
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
사슴과
146 
비둘기과
51 
참새과
48 
오리과
39 
올빼미과
38 
Other values (34)
271 

Length

Max length9
Median length3
Mean length3.3490725
Min length2

Unique

Unique8 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 146
24.6%
비둘기과 51
 
8.6%
참새과 48
 
8.1%
오리과 39
 
6.6%
올빼미과 38
 
6.4%
개과 37
 
6.2%
제비과 30
 
5.1%
까마귀과 28
 
4.7%
매과 19
 
3.2%
수리과 18
 
3.0%
Other values (29) 139
23.4%

Length

2024-01-10T07:55:32.589668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 146
24.6%
비둘기과 51
 
8.6%
참새과 48
 
8.1%
오리과 39
 
6.6%
올빼미과 38
 
6.4%
개과 37
 
6.2%
제비과 30
 
5.1%
까마귀과 28
 
4.7%
매과 19
 
3.2%
수리과 18
 
3.0%
Other values (29) 139
23.4%

천연기념물
Categorical

IMBALANCE 

Distinct16
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
해당없음
512 
324-2
 
24
323-8
 
17
324-6
 
7
327
 
7
Other values (11)
 
26

Length

Max length5
Median length4
Mean length4.1028668
Min length3

Unique

Unique5 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 512
86.3%
324-2 24
 
4.0%
323-8 17
 
2.9%
324-6 7
 
1.2%
327 7
 
1.2%
323-4 7
 
1.2%
324-3 5
 
0.8%
323-1 3
 
0.5%
324-7 2
 
0.3%
330 2
 
0.3%
Other values (6) 7
 
1.2%

Length

2024-01-10T07:55:32.714967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 512
86.3%
324-2 24
 
4.0%
323-8 17
 
2.9%
324-6 7
 
1.2%
327 7
 
1.2%
323-4 7
 
1.2%
324-3 5
 
0.8%
323-1 3
 
0.5%
324-7 2
 
0.3%
330 2
 
0.3%
Other values (6) 7
 
1.2%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
해당없음
541 
2 급
 
48
1 급
 
4

Length

Max length4
Median length4
Mean length3.9123103
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 541
91.2%
2 급 48
 
8.1%
1 급 4
 
0.7%

Length

2024-01-10T07:55:32.831740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:32.926419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 541
83.9%
급 52
 
8.1%
2 48
 
7.4%
1 4
 
0.6%

야생동물보호협약
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
해당없음
510 
부속서 2종
79 
부속서 1종
 
4

Length

Max length6
Median length4
Mean length4.2799325
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 510
86.0%
부속서 2종 79
 
13.3%
부속서 1종 4
 
0.7%

Length

2024-01-10T07:55:33.036569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:33.130732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 510
75.4%
부속서 83
 
12.3%
2종 79
 
11.7%
1종 4
 
0.6%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing592
Missing (%)99.8%
Memory size4.8 KiB
Minimum2019-01-22 00:00:00
Maximum2019-01-22 00:00:00
2024-01-10T07:55:33.206192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:55:33.284395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing592
Missing (%)99.8%
Memory size4.8 KiB
Minimum2019-01-22 00:00:00
Maximum2019-01-22 00:00:00
2024-01-10T07:55:33.364497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:55:33.455446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct365
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2019-01-19 00:00:00
Maximum2021-12-30 00:00:00
2024-01-10T07:55:33.560456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:55:33.675971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct368
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum2019-01-19 00:00:00
Maximum2022-01-21 00:00:00
2024-01-10T07:55:33.797255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:55:33.917546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct7
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
방생
229 
안락사
120 
폐사체
111 
DOA
67 
폐사
64 
Other values (2)
 
2

Length

Max length3
Median length3
Mean length2.5025295
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
방생 229
38.6%
안락사 120
20.2%
폐사체 111
18.7%
DOA 67
 
11.3%
폐사 64
 
10.8%
기타 1
 
0.2%
이첩 1
 
0.2%

Length

2024-01-10T07:55:34.028112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:34.132466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 229
38.6%
안락사 120
20.2%
폐사체 111
18.7%
doa 67
 
11.3%
폐사 64
 
10.8%
기타 1
 
0.2%
이첩 1
 
0.2%

이첩 방생 위치
Text

MISSING 

Distinct146
Distinct (%)63.8%
Missing364
Missing (%)61.4%
Memory size4.8 KiB
2024-01-10T07:55:34.478411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length27
Mean length21.074236
Min length5

Characters and Unicode

Total characters4826
Distinct characters138
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

Unique112 ?
Unique (%)48.9%

Sample

1st row충청남도 예산군 대흥면 손지리 542
2nd row충청남도 예산군 대흥면 손지리563
3rd row충청남도 예산군 대흥면 손지리 563
4th row충청남도 예산군 대흥면 손지리 563
5th row충청남도 예산군 대흥면 손지리563
ValueCountFrequency (%)
충청남도 227
19.1%
예산군 199
 
16.7%
예산읍 72
 
6.1%
산 47
 
4.0%
대흥면 38
 
3.2%
대회리 30
 
2.5%
1 21
 
1.8%
오가면 20
 
1.7%
갈신리 19
 
1.6%
신양면 14
 
1.2%
Other values (251) 502
42.2%
2024-01-10T07:55:34.950320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
989
20.5%
산 366
 
7.6%
예 274
 
5.7%
충 233
 
4.8%
청 233
 
4.8%
도 231
 
4.8%
남 229
 
4.7%
리 221
 
4.6%
군 208
 
4.3%
면 149
 
3.1%
Other values (128) 1693
35.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3047
63.1%
Space Separator 989
 
20.5%
Decimal Number 674
 
14.0%
Dash Punctuation 116
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 366
12.0%
예 274
 
9.0%
충 233
 
7.6%
청 233
 
7.6%
도 231
 
7.6%
남 229
 
7.5%
리 221
 
7.3%
군 208
 
6.8%
면 149
 
4.9%
대 93
 
3.1%
Other values (116) 810
26.6%
Decimal Number
ValueCountFrequency (%)
1 143
21.2%
2 96
14.2%
3 81
12.0%
7 67
9.9%
4 61
9.1%
5 52
 
7.7%
6 50
 
7.4%
8 47
 
7.0%
0 42
 
6.2%
9 35
 
5.2%
Space Separator
ValueCountFrequency (%)
989
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3047
63.1%
Common 1779
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 366
12.0%
예 274
 
9.0%
충 233
 
7.6%
청 233
 
7.6%
도 231
 
7.6%
남 229
 
7.5%
리 221
 
7.3%
군 208
 
6.8%
면 149
 
4.9%
대 93
 
3.1%
Other values (116) 810
26.6%
Common
ValueCountFrequency (%)
989
55.6%
1 143
 
8.0%
- 116
 
6.5%
2 96
 
5.4%
3 81
 
4.6%
7 67
 
3.8%
4 61
 
3.4%
5 52
 
2.9%
6 50
 
2.8%
8 47
 
2.6%
Other values (2) 77
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3047
63.1%
ASCII 1779
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
989
55.6%
1 143
 
8.0%
- 116
 
6.5%
2 96
 
5.4%
3 81
 
4.6%
7 67
 
3.8%
4 61
 
3.4%
5 52
 
2.9%
6 50
 
2.8%
8 47
 
2.6%
Other values (2) 77
 
4.3%
Hangul
ValueCountFrequency (%)
산 366
12.0%
예 274
 
9.0%
충 233
 
7.6%
청 233
 
7.6%
도 231
 
7.6%
남 229
 
7.5%
리 221
 
7.3%
군 208
 
6.8%
면 149
 
4.9%
대 93
 
3.1%
Other values (116) 810
26.6%

사체처리
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
기타
362 
<NA>
231 

Length

Max length4
Median length2
Mean length2.7790894
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 362
61.0%
<NA> 231
39.0%

Length

2024-01-10T07:55:35.087443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:35.183592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 362
61.0%
na 231
39.0%

동물성별
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Unknown
387 
Male
118 
Female
78 
Male(?)
 
5
Female(?)
 
5

Length

Max length9
Median length7
Mean length6.2883642
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 387
65.3%
Male 118
 
19.9%
Female 78
 
13.2%
Male(?) 5
 
0.8%
Female(?) 5
 
0.8%

Length

2024-01-10T07:55:35.271413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:35.361353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 387
65.3%
male 123
 
20.7%
female 83
 
14.0%

동물연령
Categorical

Distinct32
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
0년0월0일
128 
Unknown
106 
Juvenile
105 
Nestling
86 
Adult
81 
Other values (27)
87 

Length

Max length8
Median length7
Mean length6.7082631
Min length5

Unique

Unique11 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 128
21.6%
Unknown 106
17.9%
Juvenile 105
17.7%
Nestling 86
14.5%
Adult 81
13.7%
0년1월0일 19
 
3.2%
1년0월0일 10
 
1.7%
0년10월0일 9
 
1.5%
0년2월0일 5
 
0.8%
0년8월0일 4
 
0.7%
Other values (22) 40
 
6.7%

Length

2024-01-10T07:55:35.471501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 128
21.6%
unknown 106
17.9%
juvenile 105
17.7%
nestling 86
14.5%
adult 81
13.7%
0년1월0일 19
 
3.2%
1년0월0일 10
 
1.7%
0년10월0일 9
 
1.5%
0년2월0일 5
 
0.8%
0년5월0일 4
 
0.7%
Other values (22) 40
 
6.7%

구조위도
Real number (ℝ)

Distinct419
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.674168
Minimum35.747556
Maximum36.790361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:35.596710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.747556
5-th percentile36.589983
Q136.660472
median36.678278
Q336.697194
95-th percentile36.746528
Maximum36.790361
Range1.042805
Interquartile range (IQR)0.036722

Descriptive statistics

Standard deviation0.058867939
Coefficient of variation (CV)0.0016051609
Kurtosis103.08272
Mean36.674168
Median Absolute Deviation (MAD)0.018028
Skewness-6.8521227
Sum21747.782
Variance0.0034654343
MonotonicityNot monotonic
2024-01-10T07:55:35.732534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.755694 12
 
2.0%
36.669667 12
 
2.0%
36.746361 11
 
1.9%
36.61475 10
 
1.7%
36.701389 7
 
1.2%
36.533333 7
 
1.2%
36.681194 7
 
1.2%
36.677389 6
 
1.0%
36.696278 6
 
1.0%
36.646667 5
 
0.8%
Other values (409) 510
86.0%
ValueCountFrequency (%)
35.747556 1
 
0.2%
36.533333 7
1.2%
36.533917 1
 
0.2%
36.538778 1
 
0.2%
36.543639 1
 
0.2%
36.546139 1
 
0.2%
36.546889 1
 
0.2%
36.552361 2
 
0.3%
36.571944 1
 
0.2%
36.572778 3
0.5%
ValueCountFrequency (%)
36.790361 1
 
0.2%
36.773139 1
 
0.2%
36.767167 1
 
0.2%
36.764417 1
 
0.2%
36.759111 1
 
0.2%
36.757583 1
 
0.2%
36.757444 1
 
0.2%
36.755694 12
2.0%
36.755472 1
 
0.2%
36.753833 1
 
0.2%

구조경도
Real number (ℝ)

Distinct427
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.7984
Minimum126.59031
Maximum126.95494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:35.861861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59031
5-th percentile126.66885
Q1126.75836
median126.81672
Q3126.85464
95-th percentile126.88196
Maximum126.95494
Range0.364638
Interquartile range (IQR)0.096278

Descriptive statistics

Standard deviation0.069017001
Coefficient of variation (CV)0.00054430499
Kurtosis-0.27601389
Mean126.7984
Median Absolute Deviation (MAD)0.0415
Skewness-0.76741959
Sum75191.451
Variance0.0047633465
MonotonicityNot monotonic
2024-01-10T07:55:35.995833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.685056 12
 
2.0%
126.70375 11
 
1.9%
126.859917 11
 
1.9%
126.808889 10
 
1.7%
126.838306 8
 
1.3%
126.732444 7
 
1.2%
126.77825 7
 
1.2%
126.840389 6
 
1.0%
126.7915 6
 
1.0%
126.673833 5
 
0.8%
Other values (417) 510
86.0%
ValueCountFrequency (%)
126.590306 1
0.2%
126.605111 1
0.2%
126.610556 1
0.2%
126.612111 1
0.2%
126.622667 1
0.2%
126.623194 1
0.2%
126.628778 1
0.2%
126.63075 1
0.2%
126.632083 1
0.2%
126.635611 2
0.3%
ValueCountFrequency (%)
126.954944 1
0.2%
126.935806 1
0.2%
126.925722 1
0.2%
126.922028 1
0.2%
126.918111 1
0.2%
126.917528 1
0.2%
126.906889 1
0.2%
126.903222 1
0.2%
126.900722 1
0.2%
126.89775 1
0.2%

구조고도
Real number (ℝ)

Distinct117
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.586847
Minimum5
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:36.159651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile11
Q124
median36
Q359
95-th percentile107.4
Maximum269
Range264
Interquartile range (IQR)35

Descriptive statistics

Standard deviation35.875012
Coefficient of variation (CV)0.77006741
Kurtosis8.1221705
Mean46.586847
Median Absolute Deviation (MAD)15
Skewness2.3414854
Sum27626
Variance1287.0165
MonotonicityNot monotonic
2024-01-10T07:55:36.319429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 26
 
4.4%
25 25
 
4.2%
40 25
 
4.2%
30 21
 
3.5%
34 17
 
2.9%
14 14
 
2.4%
46 14
 
2.4%
33 13
 
2.2%
91 12
 
2.0%
68 12
 
2.0%
Other values (107) 414
69.8%
ValueCountFrequency (%)
5 2
 
0.3%
6 2
 
0.3%
7 6
1.0%
8 4
 
0.7%
9 3
 
0.5%
10 9
1.5%
11 5
 
0.8%
12 2
 
0.3%
13 9
1.5%
14 14
2.4%
ValueCountFrequency (%)
269 1
 
0.2%
239 3
0.5%
217 1
 
0.2%
194 2
0.3%
188 1
 
0.2%
177 1
 
0.2%
162 1
 
0.2%
153 2
0.3%
150 2
0.3%
149 1
 
0.2%

방생위도
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)61.5%
Missing372
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean36.663753
Minimum36.064226
Maximum36.84227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:36.473842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.064226
5-th percentile36.57326
Q136.655403
median36.671366
Q336.691844
95-th percentile36.746446
Maximum36.84227
Range0.77804415
Interquartile range (IQR)0.03644119

Descriptive statistics

Standard deviation0.077918183
Coefficient of variation (CV)0.0021252102
Kurtosis22.059387
Mean36.663753
Median Absolute Deviation (MAD)0.02000889
Skewness-3.7105055
Sum8102.6893
Variance0.0060712432
MonotonicityNot monotonic
2024-01-10T07:55:36.600346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.67008139 19
 
3.2%
36.6657283 9
 
1.5%
36.69637063 6
 
1.0%
36.66147179 5
 
0.8%
36.65135741 5
 
0.8%
36.74644565 5
 
0.8%
36.68728617 5
 
0.8%
36.60296061 4
 
0.7%
36.38986495 4
 
0.7%
36.67682848 4
 
0.7%
Other values (126) 155
26.1%
(Missing) 372
62.7%
ValueCountFrequency (%)
36.06422618 1
 
0.2%
36.21404598 1
 
0.2%
36.38986495 4
0.7%
36.46990627 1
 
0.2%
36.51186286 1
 
0.2%
36.5530255 1
 
0.2%
36.57010259 2
0.3%
36.57325951 1
 
0.2%
36.58246426 1
 
0.2%
36.58928752 1
 
0.2%
ValueCountFrequency (%)
36.84227033 1
0.2%
36.79102164 1
0.2%
36.79066913 1
0.2%
36.77910524 1
0.2%
36.77528585 1
0.2%
36.7676436 1
0.2%
36.76198773 1
0.2%
36.7615691 1
0.2%
36.75065246 1
0.2%
36.74827467 1
0.2%

방생경도
Real number (ℝ)

MISSING 

Distinct136
Distinct (%)61.5%
Missing372
Missing (%)62.7%
Infinite0
Infinite (%)0.0%
Mean126.81299
Minimum126.38344
Maximum127.24701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:36.728362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.38344
5-th percentile126.63431
Q1126.79153
median126.82956
Q3126.85975
95-th percentile126.95516
Maximum127.24701
Range0.8635725
Interquartile range (IQR)0.068217

Descriptive statistics

Standard deviation0.10676279
Coefficient of variation (CV)0.00084189157
Kurtosis5.045449
Mean126.81299
Median Absolute Deviation (MAD)0.0328699
Skewness-1.2588013
Sum28025.671
Variance0.011398293
MonotonicityNot monotonic
2024-01-10T07:55:36.855353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.85966609999998 19
 
3.2%
126.8597498 9
 
1.5%
126.7915328 6
 
1.0%
126.8125188 5
 
0.8%
126.80006609999998 5
 
0.8%
126.7036613 5
 
0.8%
126.8275826 5
 
0.8%
126.8670831 4
 
0.7%
126.6493807 4
 
0.7%
126.8234697 4
 
0.7%
Other values (126) 155
26.1%
(Missing) 372
62.7%
ValueCountFrequency (%)
126.3834354 1
0.2%
126.3873741 1
0.2%
126.4189611 1
0.2%
126.4358662 2
0.3%
126.4649635 1
0.2%
126.5107363 2
0.3%
126.612669 1
0.2%
126.6255993 1
0.2%
126.6314457 1
0.2%
126.6343079 1
0.2%
ValueCountFrequency (%)
127.2470079 1
 
0.2%
127.0427095 1
 
0.2%
127.0327792 1
 
0.2%
127.0176192 1
 
0.2%
126.99080990000002 3
0.5%
126.9619076 1
 
0.2%
126.9604185 1
 
0.2%
126.9551574 3
0.5%
126.9542871 1
 
0.2%
126.949132 1
 
0.2%

발견장소상세
Text

MISSING 

Distinct300
Distinct (%)58.9%
Missing84
Missing (%)14.2%
Memory size4.8 KiB
2024-01-10T07:55:37.124660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length21
Mean length8.56778
Min length1

Characters and Unicode

Total characters4361
Distinct characters332
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

Unique250 ?
Unique (%)49.1%

Sample

1st row광시한우공원 내 인공 호수
2nd row주소지 부근 농경지
3rd row주소지 부근 농경지
4th row주소지 부근 농경지
5th row주소지 부근 농경지
ValueCountFrequency (%)
주소지 105
 
8.4%
부근 91
 
7.3%
도로변 64
 
5.1%
옆 41
 
3.3%
도로 41
 
3.3%
농경지 36
 
2.9%
건물 34
 
2.7%
앞 31
 
2.5%
내 24
 
1.9%
농수로 21
 
1.7%
Other values (353) 757
60.8%
2024-01-10T07:55:37.781012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
751
 
17.2%
지 177
 
4.1%
로 169
 
3.9%
주 156
 
3.6%
도 140
 
3.2%
부 125
 
2.9%
소 120
 
2.8%
근 104
 
2.4%
변 81
 
1.9%
물 67
 
1.5%
Other values (322) 2471
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3368
77.2%
Space Separator 751
 
17.2%
Decimal Number 123
 
2.8%
Open Punctuation 34
 
0.8%
Close Punctuation 34
 
0.8%
Other Punctuation 16
 
0.4%
Lowercase Letter 16
 
0.4%
Uppercase Letter 11
 
0.3%
Dash Punctuation 8
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 177
 
5.3%
로 169
 
5.0%
주 156
 
4.6%
도 140
 
4.2%
부 125
 
3.7%
소 120
 
3.6%
근 104
 
3.1%
변 81
 
2.4%
물 67
 
2.0%
농 66
 
2.0%
Other values (287) 2163
64.2%
Lowercase Letter
ValueCountFrequency (%)
s 2
12.5%
i 2
12.5%
c 2
12.5%
l 2
12.5%
o 1
6.2%
u 1
6.2%
e 1
6.2%
f 1
6.2%
a 1
6.2%
p 1
6.2%
Other values (2) 2
12.5%
Decimal Number
ValueCountFrequency (%)
1 32
26.0%
2 22
17.9%
5 15
12.2%
4 14
11.4%
3 12
 
9.8%
0 12
 
9.8%
6 11
 
8.9%
8 4
 
3.3%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
G 3
27.3%
S 3
27.3%
L 1
 
9.1%
C 1
 
9.1%
I 1
 
9.1%
K 1
 
9.1%
U 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 14
87.5%
& 1
 
6.2%
. 1
 
6.2%
Space Separator
ValueCountFrequency (%)
751
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3368
77.2%
Common 966
 
22.2%
Latin 27
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 177
 
5.3%
로 169
 
5.0%
주 156
 
4.6%
도 140
 
4.2%
부 125
 
3.7%
소 120
 
3.6%
근 104
 
3.1%
변 81
 
2.4%
물 67
 
2.0%
농 66
 
2.0%
Other values (287) 2163
64.2%
Latin
ValueCountFrequency (%)
G 3
 
11.1%
S 3
 
11.1%
s 2
 
7.4%
i 2
 
7.4%
c 2
 
7.4%
l 2
 
7.4%
o 1
 
3.7%
u 1
 
3.7%
L 1
 
3.7%
e 1
 
3.7%
Other values (9) 9
33.3%
Common
ValueCountFrequency (%)
751
77.7%
( 34
 
3.5%
) 34
 
3.5%
1 32
 
3.3%
2 22
 
2.3%
5 15
 
1.6%
, 14
 
1.4%
4 14
 
1.4%
3 12
 
1.2%
0 12
 
1.2%
Other values (6) 26
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3368
77.2%
ASCII 993
 
22.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
751
75.6%
( 34
 
3.4%
) 34
 
3.4%
1 32
 
3.2%
2 22
 
2.2%
5 15
 
1.5%
, 14
 
1.4%
4 14
 
1.4%
3 12
 
1.2%
0 12
 
1.2%
Other values (25) 53
 
5.3%
Hangul
ValueCountFrequency (%)
지 177
 
5.3%
로 169
 
5.0%
주 156
 
4.6%
도 140
 
4.2%
부 125
 
3.7%
소 120
 
3.6%
근 104
 
3.1%
변 81
 
2.4%
물 67
 
2.0%
농 66
 
2.0%
Other values (287) 2163
64.2%

발견주소
Text

Distinct406
Distinct (%)68.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-01-10T07:55:38.031852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length21.254637
Min length17

Characters and Unicode

Total characters12604
Distinct characters147
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

Unique342 ?
Unique (%)57.7%

Sample

1st row충청남도 예산군 광시면 광시리 48
2nd row충청남도 예산군 삽교읍 신가리 148-6
3rd row충청남도 예산군 삽교읍 신가리 148-6
4th row충청남도 예산군 삽교읍 신가리 148-6
5th row충청남도 예산군 삽교읍 신가리 148-6
ValueCountFrequency (%)
충청남도 593
19.9%
예산군 593
19.9%
예산읍 197
 
6.6%
삽교읍 69
 
2.3%
대흥면 62
 
2.1%
오가면 46
 
1.5%
대회리 45
 
1.5%
1 44
 
1.5%
응봉면 42
 
1.4%
신양면 37
 
1.2%
Other values (554) 1258
42.1%
2024-01-10T07:55:38.411413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2409
19.1%
산 940
 
7.5%
예 819
 
6.5%
도 596
 
4.7%
충 594
 
4.7%
청 593
 
4.7%
남 593
 
4.7%
군 593
 
4.7%
리 555
 
4.4%
1 416
 
3.3%
Other values (137) 4496
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7726
61.3%
Space Separator 2409
 
19.1%
Decimal Number 2069
 
16.4%
Dash Punctuation 400
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 940
12.2%
예 819
10.6%
도 596
 
7.7%
충 594
 
7.7%
청 593
 
7.7%
남 593
 
7.7%
군 593
 
7.7%
리 555
 
7.2%
면 330
 
4.3%
읍 269
 
3.5%
Other values (125) 1844
23.9%
Decimal Number
ValueCountFrequency (%)
1 416
20.1%
2 346
16.7%
3 249
12.0%
4 226
10.9%
5 168
8.1%
6 149
 
7.2%
7 141
 
6.8%
8 135
 
6.5%
0 120
 
5.8%
9 119
 
5.8%
Space Separator
ValueCountFrequency (%)
2409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7726
61.3%
Common 4878
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 940
12.2%
예 819
10.6%
도 596
 
7.7%
충 594
 
7.7%
청 593
 
7.7%
남 593
 
7.7%
군 593
 
7.7%
리 555
 
7.2%
면 330
 
4.3%
읍 269
 
3.5%
Other values (125) 1844
23.9%
Common
ValueCountFrequency (%)
2409
49.4%
1 416
 
8.5%
- 400
 
8.2%
2 346
 
7.1%
3 249
 
5.1%
4 226
 
4.6%
5 168
 
3.4%
6 149
 
3.1%
7 141
 
2.9%
8 135
 
2.8%
Other values (2) 239
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7726
61.3%
ASCII 4878
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2409
49.4%
1 416
 
8.5%
- 400
 
8.2%
2 346
 
7.1%
3 249
 
5.1%
4 226
 
4.6%
5 168
 
3.4%
6 149
 
3.1%
7 141
 
2.9%
8 135
 
2.8%
Other values (2) 239
 
4.9%
Hangul
ValueCountFrequency (%)
산 940
12.2%
예 819
10.6%
도 596
 
7.7%
충 594
 
7.7%
청 593
 
7.7%
남 593
 
7.7%
군 593
 
7.7%
리 555
 
7.2%
면 330
 
4.3%
읍 269
 
3.5%
Other values (125) 1844
23.9%

발견장소특징
Categorical

Distinct6
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
건물옆
224 
도로변
181 
농경지
115 
기타
39 
숲
26 

Length

Max length5
Median length3
Mean length2.8735245
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 224
37.8%
도로변 181
30.5%
농경지 115
19.4%
기타 39
 
6.6%
숲 26
 
4.4%
강, 바다 8
 
1.3%

Length

2024-01-10T07:55:38.544162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:55:38.645506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 224
37.3%
도로변 181
30.1%
농경지 115
19.1%
기타 39
 
6.5%
숲 26
 
4.3%
강 8
 
1.3%
바다 8
 
1.3%

발생원인
Categorical

Distinct21
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
어미를 잃음(미아)
139 
전선/건물과의 충돌
128 
차량과의 충돌
110 
인공구조물에 얽힘
52 
인공구조물 침입·고립
33 
Other values (16)
131 

Length

Max length12
Median length11
Mean length8.6256324
Min length1

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row인공구조물에 얽힘
2nd row부적절한 사육
3rd row부적절한 사육
4th row부적절한 사육
5th row부적절한 사육

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 139
23.4%
전선/건물과의 충돌 128
21.6%
차량과의 충돌 110
18.5%
인공구조물에 얽힘 52
 
8.8%
인공구조물 침입·고립 33
 
5.6%
기생충 중감염 27
 
4.6%
농수로 고립 19
 
3.2%
개, 고양이 공격 14
 
2.4%
부적절한 사육 13
 
2.2%
알 수 없는 사고 10
 
1.7%
Other values (11) 48
 
8.1%

Length

2024-01-10T07:55:38.754098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 238
19.8%
어미를 139
11.6%
잃음(미아 139
11.6%
전선/건물과의 128
10.7%
차량과의 110
9.2%
인공구조물에 52
 
4.3%
얽힘 52
 
4.3%
인공구조물 33
 
2.7%
침입·고립 33
 
2.7%
중감염 27
 
2.2%
Other values (28) 250
20.8%

발생원인 세부사항
Text

Distinct222
Distinct (%)37.6%
Missing3
Missing (%)0.5%
Memory size4.8 KiB
2024-01-10T07:55:38.963070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length34
Mean length10.388136
Min length1

Characters and Unicode

Total characters6129
Distinct characters232
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)26.1%

Sample

1st row인공호수에 설치한 그물에 얽힘
2nd row부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)
3rd row부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)
4th row부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)
5th row부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)
ValueCountFrequency (%)
충돌 196
 
12.3%
어미를 88
 
5.5%
차량과의 81
 
5.1%
추정 70
 
4.4%
잃음(미아 60
 
3.8%
미아 51
 
3.2%
고립 44
 
2.8%
얽힘 42
 
2.6%
유리창 40
 
2.5%
인공구조물 36
 
2.3%
Other values (276) 890
55.7%
2024-01-10T07:55:39.338271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1073
 
17.5%
충 298
 
4.9%
돌 257
 
4.2%
미 214
 
3.5%
물 152
 
2.5%
의 142
 
2.3%
아 132
 
2.2%
차 121
 
2.0%
량 120
 
2.0%
과 117
 
1.9%
Other values (222) 3503
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4763
77.7%
Space Separator 1073
 
17.5%
Other Punctuation 110
 
1.8%
Close Punctuation 91
 
1.5%
Open Punctuation 91
 
1.5%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 298
 
6.3%
돌 257
 
5.4%
미 214
 
4.5%
물 152
 
3.2%
의 142
 
3.0%
아 132
 
2.8%
차 121
 
2.5%
량 120
 
2.5%
과 117
 
2.5%
음 114
 
2.4%
Other values (212) 3096
65.0%
Other Punctuation
ValueCountFrequency (%)
/ 82
74.5%
, 16
 
14.5%
· 8
 
7.3%
. 2
 
1.8%
? 1
 
0.9%
: 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1073
100.0%
Close Punctuation
ValueCountFrequency (%)
) 91
100.0%
Open Punctuation
ValueCountFrequency (%)
( 91
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4763
77.7%
Common 1366
 
22.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 298
 
6.3%
돌 257
 
5.4%
미 214
 
4.5%
물 152
 
3.2%
의 142
 
3.0%
아 132
 
2.8%
차 121
 
2.5%
량 120
 
2.5%
과 117
 
2.5%
음 114
 
2.4%
Other values (212) 3096
65.0%
Common
ValueCountFrequency (%)
1073
78.6%
) 91
 
6.7%
( 91
 
6.7%
/ 82
 
6.0%
, 16
 
1.2%
· 8
 
0.6%
. 2
 
0.1%
2 1
 
0.1%
? 1
 
0.1%
: 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4763
77.7%
ASCII 1358
 
22.2%
None 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1073
79.0%
) 91
 
6.7%
( 91
 
6.7%
/ 82
 
6.0%
, 16
 
1.2%
. 2
 
0.1%
2 1
 
0.1%
? 1
 
0.1%
: 1
 
0.1%
Hangul
ValueCountFrequency (%)
충 298
 
6.3%
돌 257
 
5.4%
미 214
 
4.5%
물 152
 
3.2%
의 142
 
3.0%
아 132
 
2.8%
차 121
 
2.5%
량 120
 
2.5%
과 117
 
2.5%
음 114
 
2.4%
Other values (212) 3096
65.0%
None
ValueCountFrequency (%)
· 8
100.0%

구조위도(TM구조위도)
Text

Distinct419
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-01-10T07:55:39.652101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters5930
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

Unique343 ?
Unique (%)57.8%

Sample

1st row36 33 08.5
2nd row36 40 52.3
3rd row36 40 52.3
4th row36 40 52.3
5th row36 40 52.3
ValueCountFrequency (%)
36 621
34.9%
40 151
 
8.5%
41 116
 
6.5%
39 60
 
3.4%
42 49
 
2.8%
44 39
 
2.2%
43 31
 
1.7%
38 30
 
1.7%
37 24
 
1.3%
45 22
 
1.2%
Other values (316) 636
35.8%
2024-01-10T07:55:40.073995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1186
20.0%
3 1019
17.2%
6 771
13.0%
4 642
10.8%
. 593
10.0%
0 397
 
6.7%
1 349
 
5.9%
5 257
 
4.3%
2 247
 
4.2%
9 175
 
3.0%
Other values (2) 294
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4151
70.0%
Space Separator 1186
 
20.0%
Other Punctuation 593
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1019
24.5%
6 771
18.6%
4 642
15.5%
0 397
 
9.6%
1 349
 
8.4%
5 257
 
6.2%
2 247
 
6.0%
9 175
 
4.2%
8 163
 
3.9%
7 131
 
3.2%
Space Separator
ValueCountFrequency (%)
1186
100.0%
Other Punctuation
ValueCountFrequency (%)
. 593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5930
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1186
20.0%
3 1019
17.2%
6 771
13.0%
4 642
10.8%
. 593
10.0%
0 397
 
6.7%
1 349
 
5.9%
5 257
 
4.3%
2 247
 
4.2%
9 175
 
3.0%
Other values (2) 294
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5930
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1186
20.0%
3 1019
17.2%
6 771
13.0%
4 642
10.8%
. 593
10.0%
0 397
 
6.7%
1 349
 
5.9%
5 257
 
4.3%
2 247
 
4.2%
9 175
 
3.0%
Other values (2) 294
 
5.0%

구조경도(TM구조경도)
Text

Distinct427
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-01-10T07:55:40.430403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters6523
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

Unique359 ?
Unique (%)60.5%

Sample

1st row126 46 29.4
2nd row126 43 56.8
3rd row126 43 56.8
4th row126 43 56.8
5th row126 43 56.8
ValueCountFrequency (%)
126 593
33.3%
51 112
 
6.3%
50 83
 
4.7%
49 52
 
2.9%
48 50
 
2.8%
47 49
 
2.8%
46 36
 
2.0%
52 28
 
1.6%
40 27
 
1.5%
41 26
 
1.5%
Other values (341) 723
40.6%
2024-01-10T07:55:40.864694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1186
18.2%
1 913
14.0%
2 881
13.5%
6 751
11.5%
. 593
9.1%
4 549
8.4%
5 505
7.7%
0 322
 
4.9%
3 272
 
4.2%
9 192
 
2.9%
Other values (2) 359
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4744
72.7%
Space Separator 1186
 
18.2%
Other Punctuation 593
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 913
19.2%
2 881
18.6%
6 751
15.8%
4 549
11.6%
5 505
10.6%
0 322
 
6.8%
3 272
 
5.7%
9 192
 
4.0%
7 183
 
3.9%
8 176
 
3.7%
Space Separator
ValueCountFrequency (%)
1186
100.0%
Other Punctuation
ValueCountFrequency (%)
. 593
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6523
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1186
18.2%
1 913
14.0%
2 881
13.5%
6 751
11.5%
. 593
9.1%
4 549
8.4%
5 505
7.7%
0 322
 
4.9%
3 272
 
4.2%
9 192
 
2.9%
Other values (2) 359
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1186
18.2%
1 913
14.0%
2 881
13.5%
6 751
11.5%
. 593
9.1%
4 549
8.4%
5 505
7.7%
0 322
 
4.9%
3 272
 
4.2%
9 192
 
2.9%
Other values (2) 359
 
5.5%

방생위도(TM방생위도)
Text

MISSING 

Distinct161
Distinct (%)70.3%
Missing364
Missing (%)61.4%
Memory size4.8 KiB
2024-01-10T07:55:41.171141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2290
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

Unique131 ?
Unique (%)57.2%

Sample

1st row36 39 32.9
2nd row36 39 41.3
3rd row36 39 41.2
4th row36 39 41.2
5th row36 39 41.2
ValueCountFrequency (%)
36 241
35.1%
40 61
 
8.9%
41 45
 
6.6%
39 32
 
4.7%
38 12
 
1.7%
42 11
 
1.6%
44 10
 
1.5%
43 10
 
1.5%
56.3 9
 
1.3%
37 9
 
1.3%
Other values (156) 247
36.0%
2024-01-10T07:55:41.579495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
20.0%
3 402
17.6%
6 299
13.1%
4 248
10.8%
. 229
10.0%
0 154
 
6.7%
1 148
 
6.5%
2 110
 
4.8%
5 81
 
3.5%
9 60
 
2.6%
Other values (2) 101
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1603
70.0%
Space Separator 458
 
20.0%
Other Punctuation 229
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 402
25.1%
6 299
18.7%
4 248
15.5%
0 154
 
9.6%
1 148
 
9.2%
2 110
 
6.9%
5 81
 
5.1%
9 60
 
3.7%
7 54
 
3.4%
8 47
 
2.9%
Space Separator
ValueCountFrequency (%)
458
100.0%
Other Punctuation
ValueCountFrequency (%)
. 229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2290
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
458
20.0%
3 402
17.6%
6 299
13.1%
4 248
10.8%
. 229
10.0%
0 154
 
6.7%
1 148
 
6.5%
2 110
 
4.8%
5 81
 
3.5%
9 60
 
2.6%
Other values (2) 101
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2290
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
20.0%
3 402
17.6%
6 299
13.1%
4 248
10.8%
. 229
10.0%
0 154
 
6.7%
1 148
 
6.5%
2 110
 
4.8%
5 81
 
3.5%
9 60
 
2.6%
Other values (2) 101
 
4.4%

방생경도(TM방생경도)
Text

MISSING 

Distinct159
Distinct (%)69.4%
Missing364
Missing (%)61.4%
Memory size4.8 KiB
2024-01-10T07:55:41.906925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2519
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

Unique126 ?
Unique (%)55.0%

Sample

1st row126 48 42.4
2nd row126 48 44.7
3rd row126 48 44.7
4th row126 48 44.7
5th row126 48 44.7
ValueCountFrequency (%)
126 225
32.8%
51 64
 
9.3%
49 26
 
3.8%
48 23
 
3.3%
47 19
 
2.8%
52 13
 
1.9%
50 12
 
1.7%
35.0 9
 
1.3%
53 8
 
1.2%
44.7 7
 
1.0%
Other values (164) 281
40.9%
2024-01-10T07:55:42.327214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
18.2%
1 365
14.5%
2 331
13.1%
6 283
11.2%
. 229
9.1%
4 225
8.9%
5 197
7.8%
3 107
 
4.2%
0 103
 
4.1%
9 88
 
3.5%
Other values (2) 133
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1832
72.7%
Space Separator 458
 
18.2%
Other Punctuation 229
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 365
19.9%
2 331
18.1%
6 283
15.4%
4 225
12.3%
5 197
10.8%
3 107
 
5.8%
0 103
 
5.6%
9 88
 
4.8%
7 80
 
4.4%
8 53
 
2.9%
Space Separator
ValueCountFrequency (%)
458
100.0%
Other Punctuation
ValueCountFrequency (%)
. 229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2519
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
458
18.2%
1 365
14.5%
2 331
13.1%
6 283
11.2%
. 229
9.1%
4 225
8.9%
5 197
7.8%
3 107
 
4.2%
0 103
 
4.1%
9 88
 
3.5%
Other values (2) 133
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2519
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
18.2%
1 365
14.5%
2 331
13.1%
6 283
11.2%
. 229
9.1%
4 225
8.9%
5 197
7.8%
3 107
 
4.2%
0 103
 
4.1%
9 88
 
3.5%
Other values (2) 133
 
5.3%

등록체중
Real number (ℝ)

ZEROS 

Distinct304
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2690.0371
Minimum0
Maximum21440
Zeros127
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:42.464062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median104
Q31432
95-th percentile15604
Maximum21440
Range21440
Interquartile range (IQR)1422

Descriptive statistics

Standard deviation5380.9675
Coefficient of variation (CV)2.0003321
Kurtosis2.5754234
Mean2690.0371
Median Absolute Deviation (MAD)104
Skewness2.0106592
Sum1595192
Variance28954811
MonotonicityNot monotonic
2024-01-10T07:55:42.584284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 127
 
21.4%
10 11
 
1.9%
12 10
 
1.7%
18 10
 
1.7%
14 10
 
1.7%
13 9
 
1.5%
17 9
 
1.5%
16 9
 
1.5%
178 8
 
1.3%
27 7
 
1.2%
Other values (294) 383
64.6%
ValueCountFrequency (%)
0 127
21.4%
1 1
 
0.2%
3 1
 
0.2%
4 4
 
0.7%
6 3
 
0.5%
7 2
 
0.3%
8 2
 
0.3%
9 1
 
0.2%
10 11
 
1.9%
11 3
 
0.5%
ValueCountFrequency (%)
21440 1
0.2%
21360 1
0.2%
21260 1
0.2%
21160 1
0.2%
20660 1
0.2%
20020 1
0.2%
19840 1
0.2%
19520 1
0.2%
19440 1
0.2%
18600 2
0.3%

현재체중
Real number (ℝ)

ZEROS 

Distinct310
Distinct (%)52.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2686.9747
Minimum0
Maximum21440
Zeros133
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size5.3 KiB
2024-01-10T07:55:42.701055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median144
Q31710
95-th percentile15548
Maximum21440
Range21440
Interquartile range (IQR)1700

Descriptive statistics

Standard deviation5268.4424
Coefficient of variation (CV)1.9607339
Kurtosis2.6404291
Mean2686.9747
Median Absolute Deviation (MAD)144
Skewness2.0182103
Sum1593376
Variance27756485
MonotonicityNot monotonic
2024-01-10T07:55:42.828523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 133
 
22.4%
16 14
 
2.4%
14 10
 
1.7%
144 10
 
1.7%
10 9
 
1.5%
12 9
 
1.5%
15 8
 
1.3%
178 7
 
1.2%
6 6
 
1.0%
402 5
 
0.8%
Other values (300) 382
64.4%
ValueCountFrequency (%)
0 133
22.4%
1 1
 
0.2%
3 1
 
0.2%
5 1
 
0.2%
6 6
 
1.0%
7 1
 
0.2%
8 1
 
0.2%
9 2
 
0.3%
10 9
 
1.5%
11 4
 
0.7%
ValueCountFrequency (%)
21440 1
0.2%
21360 1
0.2%
21260 1
0.2%
20660 1
0.2%
20020 1
0.2%
19520 1
0.2%
19440 1
0.2%
18600 2
0.3%
18380 1
0.2%
18280 1
0.2%

임상적최종진단
Text

Distinct359
Distinct (%)60.6%
Missing1
Missing (%)0.2%
Memory size4.8 KiB
2024-01-10T07:55:43.128788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length35
Mean length13.214527
Min length2

Characters and Unicode

Total characters7823
Distinct characters335
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique313 ?
Unique (%)52.9%

Sample

1st row그물에 얽힌 개체
2nd row단순 미아
3rd row단순 미아
4th row단순 미아
5th row단순 미아
ValueCountFrequency (%)
의한 117
 
5.2%
미아 103
 
4.6%
및 96
 
4.3%
단순 74
 
3.3%
개체 73
 
3.3%
충돌에 70
 
3.1%
골절 70
 
3.1%
좌측 55
 
2.5%
우측 49
 
2.2%
뇌진탕 48
 
2.1%
Other values (497) 1480
66.2%
2024-01-10T07:55:43.575245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1669
 
21.3%
골 236
 
3.0%
한 186
 
2.4%
충 177
 
2.3%
에 174
 
2.2%
절 172
 
2.2%
개 156
 
2.0%
상 150
 
1.9%
돌 147
 
1.9%
의 140
 
1.8%
Other values (325) 4616
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5639
72.1%
Space Separator 1669
 
21.3%
Lowercase Letter 192
 
2.5%
Other Punctuation 107
 
1.4%
Uppercase Letter 76
 
1.0%
Open Punctuation 47
 
0.6%
Close Punctuation 47
 
0.6%
Decimal Number 42
 
0.5%
Math Symbol 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 236
 
4.2%
한 186
 
3.3%
충 177
 
3.1%
에 174
 
3.1%
절 172
 
3.1%
개 156
 
2.8%
상 150
 
2.7%
돌 147
 
2.6%
의 140
 
2.5%
미 139
 
2.5%
Other values (277) 3962
70.3%
Lowercase Letter
ValueCountFrequency (%)
a 27
14.1%
t 26
13.5%
i 16
 
8.3%
o 15
 
7.8%
n 11
 
5.7%
e 11
 
5.7%
l 11
 
5.7%
r 10
 
5.2%
u 9
 
4.7%
c 8
 
4.2%
Other values (13) 48
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 26
34.2%
C 14
18.4%
H 10
 
13.2%
B 10
 
13.2%
T 9
 
11.8%
R 5
 
6.6%
D 1
 
1.3%
O 1
 
1.3%
Decimal Number
ValueCountFrequency (%)
1 11
26.2%
3 8
19.0%
5 7
16.7%
6 6
14.3%
4 5
11.9%
2 4
 
9.5%
0 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 66
61.7%
/ 26
 
24.3%
. 13
 
12.1%
& 1
 
0.9%
? 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1669
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5639
72.1%
Common 1916
 
24.5%
Latin 268
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 236
 
4.2%
한 186
 
3.3%
충 177
 
3.1%
에 174
 
3.1%
절 172
 
3.1%
개 156
 
2.8%
상 150
 
2.7%
돌 147
 
2.6%
의 140
 
2.5%
미 139
 
2.5%
Other values (277) 3962
70.3%
Latin
ValueCountFrequency (%)
a 27
 
10.1%
L 26
 
9.7%
t 26
 
9.7%
i 16
 
6.0%
o 15
 
5.6%
C 14
 
5.2%
n 11
 
4.1%
e 11
 
4.1%
l 11
 
4.1%
H 10
 
3.7%
Other values (21) 101
37.7%
Common
ValueCountFrequency (%)
1669
87.1%
, 66
 
3.4%
( 47
 
2.5%
) 47
 
2.5%
/ 26
 
1.4%
. 13
 
0.7%
1 11
 
0.6%
3 8
 
0.4%
5 7
 
0.4%
6 6
 
0.3%
Other values (7) 16
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5639
72.1%
ASCII 2184
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1669
76.4%
, 66
 
3.0%
( 47
 
2.2%
) 47
 
2.2%
a 27
 
1.2%
L 26
 
1.2%
t 26
 
1.2%
/ 26
 
1.2%
i 16
 
0.7%
o 15
 
0.7%
Other values (38) 219
 
10.0%
Hangul
ValueCountFrequency (%)
골 236
 
4.2%
한 186
 
3.3%
충 177
 
3.1%
에 174
 
3.1%
절 172
 
3.1%
개 156
 
2.8%
상 150
 
2.7%
돌 147
 
2.6%
의 140
 
2.5%
미 139
 
2.5%
Other values (277) 3962
70.3%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0046흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-01-222019-01-222019-01-222019-01-31안락사<NA>기타UnknownAdult36.552361126.77483328<NA><NA>광시한우공원 내 인공 호수충청남도 예산군 광시면 광시리 48강, 바다인공구조물에 얽힘인공호수에 설치한 그물에 얽힘36 33 08.5126 46 29.4<NA><NA>1004978그물에 얽힌 개체
12019-0749흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.681194126.7324441436.659224126.811779주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.836 39 32.9126 48 42.427150단순 미아
22019-0750흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-08-19방생충청남도 예산군 대흥면 손지리563<NA>UnknownNestling36.681194126.7324441436.661472126.812519주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.836 39 41.3126 48 44.727842단순 미아
32019-0751흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-08-19방생충청남도 예산군 대흥면 손지리 563<NA>UnknownNestling36.681194126.7324441436.661472126.812519주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.836 39 41.2126 48 44.727820단순 미아
42019-0752흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-08-19방생충청남도 예산군 대흥면 손지리 563<NA>UnknownNestling36.681194126.7324441436.661472126.812519주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.836 39 41.2126 48 44.727838단순 미아
52019-0753흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-08-19방생충청남도 예산군 대흥면 손지리563<NA>UnknownNestling36.681194126.7324441436.661472126.812519주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.836 39 41.2126 48 44.727842단순 미아
62019-0754흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-08-19방생충청남도 예산군 대흥면 손지리563<NA>UnknownNestling36.681194126.7324441436.661472126.812519주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.836 39 41.2126 48 44.727766단순 미아
72019-0755흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-122019-06-23폐사<NA>기타UnknownNestling36.681194126.73244414<NA><NA>주소지 부근 농경지충청남도 예산군 삽교읍 신가리 148-6농경지부적절한 사육부적절한 사육(임의적으로 알을 습득한 후 부화시켜 발생한 미아)36 40 52.3126 43 56.8<NA><NA>27144단순 미아
82019-1013흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-07-102019-10-09방생충청남도 보령시 청라면 의평리 593<NA>UnknownJuvenile36.677389126.8403892636.389865126.649381<NA>충청남도 예산군 예산읍 예산리 743도로변어미를 잃음(미아)미아36 40 38.6126 50 25.436 23 23.5126 38 57.5301068미아
92019-1014흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-07-102019-09-25방생충청남도 예산군 광시면 장신리 192<NA>UnknownJuvenile36.677389126.8403892636.570103126.795221<NA>충청남도 예산군 예산읍 예산리 743도로변어미를 잃음(미아)미아36 40 38.6126 50 25.436 34 12.4126 47 41.5301084미아
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
5832021-1804너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-10-262021-10-26안락사<NA>기타Unknown0년0월0일36.609444126.86680630<NA><NA>농경지 전봇대충청남도 예산군 신양면 서계양리 833-1농경지올가미올가미36 36 34.0126 52 00.5<NA><NA>41804180Lt. 고관절 탈구 및 Rt. 대퇴골 골절
5842021-1848너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-032021-11-03DOA<NA>기타Unknown0년0월0일36.683126.67241747<NA><NA>수암산수도원충청남도 예산군 삽교읍 수암산로 238-20건물옆기생충 중감염기생충 중감염/개선충36 40 58.8126 40 20.7<NA><NA>00개선충 중감염
5852021-1884너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-132021-11-13DOA<NA>기타Unknown0년0월0일36.731389126.82213917<NA><NA><NA>충청남도 예산군 신암면 종경길 29-15농경지기생충 중감염기생충 중감염/개선충 감염36 43 53.0126 49 19.7<NA><NA>00개선충 중감염
5862021-0513삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-04-302021-11-09방생충청남도 서산시 부석면 지산리 1372<NA>Female0년1월0일36.630194126.7817226036.697477126.435866나뭇가지 더미충청남도 예산군 응봉면 평촌리 266-1숲어미를 잃음(미아)어미를 잃음(미아)/미아36 37 48.7126 46 54.236 41 50.8126 26 09.03061440단순 미아
5872021-0514삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-04-302021-11-09방생충청남도 서산시 부석면 지산리 1372<NA>Female0년1월0일36.630194126.7817226036.697477126.435866나뭇가지 더미충청남도 예산군 응봉면 평촌리 266-1숲어미를 잃음(미아)어미를 잃음(미아)/미아36 37 48.7126 46 54.236 41 50.8126 26 09.02681680단순 미아
5882021-0515삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-04-302021-10-25이첩청주동물원<NA>Male0년1월0일36.630194126.78172260<NA><NA>나뭇가지 더미충청남도 예산군 응봉면 평촌리 266-1숲어미를 잃음(미아)어미를 잃음(미아)/미아36 37 48.7126 46 54.2<NA><NA>2884200단순 미아
5892021-0161족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-02-082021-02-16방생충청남도 예산군 예산읍 향천리 산 10<NA>Female0년0월0일36.707861126.721751436.691733126.867447주소지 부근 주택 내부충청남도 예산군 삽교읍 용동리 380건물옆끈끈이끈끈이/쥐 포획용 끈끈이에 붙음36 42 28.3126 43 18.336 41 29.7126 51 58.3268260끈끈이 오염
5902021-1849족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-11-032021-11-03방생충청남도 예산군 예산읍 산성리 164-12<NA>Unknown0년0월0일36.69225126.8339443036.689003126.833982여자화장실충청남도 예산군 예산읍 산성공원2길 15건물옆인공구조물 침입·고립인공구조물 침입, 고립36 41 32.1126 50 02.236 41 20.2126 50 02.400단순 고립 개체
5912021-1086두더지포유강(Mammalia)식충목두더지과해당없음해당없음해당없음<NA><NA>2021-06-202021-06-20폐사체<NA>기타Unknown0년0월0일36.669667126.85991768<NA><NA>도로변충청남도 예산군 예산읍 대학로 54도로변차량과의 충돌차량과의 충돌36 40 10.8126 51 35.7<NA><NA>00차량 충돌로 의한 다발성 손상 및 쇼크 추정
5922021-0411다람쥐포유강(Mammalia)쥐목청서과해당없음해당없음해당없음<NA><NA>2021-04-192021-05-20방생충청남도 예산군 예산읍 향천리 54<NA>Unknown0년0월0일36.695667126.8343612636.690094126.862688아파트 단지 화단충청남도 예산군 예산읍 발연리 90-1건물옆개, 고양이 공격개, 고양이 공격/고양이 공격 추정36 41 44.4126 50 03.736 41 24.0126 51 46.14268교상에 의한 다발성 열상