Overview

Dataset statistics

Number of variables32
Number of observations364
Missing cells1728
Missing cells (%)14.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory92.2 KiB
Average record size in memory259.4 B

Variable types

Text14
Categorical13
DateTime2
Numeric3

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 태안군 내에서 발생한 구조 건에 대한 자료임
URLhttps://www.data.go.kr/data/15109282/fileData.do

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 has 260 (71.4%) missing valuesMissing
방생위도 has 295 (81.0%) missing valuesMissing
방생경도 has 295 (81.0%) missing valuesMissing
발견장소상세 has 70 (19.2%) missing valuesMissing
TM구조위도 has 109 (29.9%) missing valuesMissing
TM구조경도 has 109 (29.9%) missing valuesMissing
TM방생위도 has 294 (80.8%) missing valuesMissing
TM방생경도 has 294 (80.8%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 16 (4.4%) zerosZeros

Reproduction

Analysis started2023-12-12 22:31:53.279857
Analysis finished2023-12-12 22:31:54.014459
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct364
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:31:54.253149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3276
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

Unique364 ?
Unique (%)100.0%

Sample

1st row2019-0150
2nd row2019-0690
3rd row2019-0915
4th row2019-0631
5th row2019-1060
ValueCountFrequency (%)
2019-0150 1
 
0.3%
2021-1714 1
 
0.3%
2021-1177 1
 
0.3%
2021-0541 1
 
0.3%
2021-0399 1
 
0.3%
2021-0341 1
 
0.3%
2021-0221 1
 
0.3%
2021-0176 1
 
0.3%
2021-2028 1
 
0.3%
2021-2000 1
 
0.3%
Other values (354) 354
97.3%
2023-12-13T07:31:54.659440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 888
27.1%
0 719
21.9%
1 473
14.4%
- 364
11.1%
9 195
 
6.0%
6 114
 
3.5%
3 113
 
3.4%
5 112
 
3.4%
4 110
 
3.4%
7 99
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2912
88.9%
Dash Punctuation 364
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 888
30.5%
0 719
24.7%
1 473
16.2%
9 195
 
6.7%
6 114
 
3.9%
3 113
 
3.9%
5 112
 
3.8%
4 110
 
3.8%
7 99
 
3.4%
8 89
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 364
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3276
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 888
27.1%
0 719
21.9%
1 473
14.4%
- 364
11.1%
9 195
 
6.0%
6 114
 
3.5%
3 113
 
3.4%
5 112
 
3.4%
4 110
 
3.4%
7 99
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3276
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 888
27.1%
0 719
21.9%
1 473
14.4%
- 364
11.1%
9 195
 
6.0%
6 114
 
3.5%
3 113
 
3.4%
5 112
 
3.4%
4 110
 
3.4%
7 99
 
3.0%

동물국문명
Categorical

Distinct41
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
고라니
123 
너구리
50 
괭이갈매기
46 
멧비둘기
18 
흰뺨검둥오리
18 
Other values (36)
109 

Length

Max length6
Median length3
Mean length3.4505495
Min length1

Unique

Unique23 ?
Unique (%)6.3%

Sample

1st row쇠기러기
2nd row흰뺨검둥오리
3rd row흰뺨검둥오리
4th row괭이갈매기
5th row괭이갈매기

Common Values

ValueCountFrequency (%)
고라니 123
33.8%
너구리 50
13.7%
괭이갈매기 46
 
12.6%
멧비둘기 18
 
4.9%
흰뺨검둥오리 18
 
4.9%
참새 18
 
4.9%
왜가리 16
 
4.4%
박새 13
 
3.6%
제비 7
 
1.9%
가마우지 6
 
1.6%
Other values (31) 49
 
13.5%

Length

2023-12-13T07:31:54.776258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 123
33.8%
너구리 50
13.7%
괭이갈매기 46
 
12.6%
멧비둘기 18
 
4.9%
흰뺨검둥오리 18
 
4.9%
참새 18
 
4.9%
왜가리 16
 
4.4%
박새 13
 
3.6%
제비 7
 
1.9%
가마우지 6
 
1.6%
Other values (31) 49
 
13.5%

강
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
조강(Aves)
189 
포유강(Mammalia)
175 

Length

Max length13
Median length8
Mean length10.403846
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) 189
51.9%
포유강(Mammalia) 175
48.1%

Length

2023-12-13T07:31:54.885753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:54.996907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 189
51.9%
포유강(mammalia 175
48.1%

목
Categorical

Distinct14
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
소목
123 
참새목
59 
식육목
51 
도요목
50 
황새목
25 
Other values (9)
56 

Length

Max length5
Median length3
Mean length2.8104396
Min length2

Unique

Unique4 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
소목 123
33.8%
참새목 59
16.2%
식육목 51
14.0%
도요목 50
13.7%
황새목 25
 
6.9%
기러기목 22
 
6.0%
비둘기목 18
 
4.9%
사다새목 6
 
1.6%
파랑새목 4
 
1.1%
논병아리목 2
 
0.5%
Other values (4) 4
 
1.1%

Length

2023-12-13T07:31:55.105457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 123
33.8%
참새목 59
16.2%
식육목 51
14.0%
도요목 50
13.7%
황새목 25
 
6.9%
기러기목 22
 
6.0%
비둘기목 18
 
4.9%
사다새목 6
 
1.6%
파랑새목 4
 
1.1%
논병아리목 2
 
0.5%
Other values (4) 4
 
1.1%

과
Categorical

Distinct27
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
사슴과
123 
개과
50 
갈매기과
46 
왜가리과
25 
오리과
22 
Other values (22)
98 

Length

Max length5
Median length3
Mean length3.2252747
Min length2

Unique

Unique9 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 123
33.8%
개과 50
13.7%
갈매기과 46
 
12.6%
왜가리과 25
 
6.9%
오리과 22
 
6.0%
비둘기과 18
 
4.9%
참새과 18
 
4.9%
박새과 13
 
3.6%
제비과 7
 
1.9%
가마우지과 6
 
1.6%
Other values (17) 36
 
9.9%

Length

2023-12-13T07:31:55.215866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 123
33.8%
개과 50
13.7%
갈매기과 46
 
12.6%
왜가리과 25
 
6.9%
오리과 22
 
6.0%
비둘기과 18
 
4.9%
참새과 18
 
4.9%
박새과 13
 
3.6%
제비과 7
 
1.9%
가마우지과 6
 
1.6%
Other values (17) 36
 
9.9%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
해당없음
364 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 364
100.0%

Length

2023-12-13T07:31:55.329613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:55.418881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 364
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
해당없음
364 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 364
100.0%

Length

2023-12-13T07:31:55.510944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:55.618397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 364
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
해당없음
364 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 364
100.0%

Length

2023-12-13T07:31:55.700007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:55.774846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 364
100.0%

구조일시
Date

Distinct277
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2019-01-04 00:00:00
Maximum2022-12-28 00:00:00
2023-12-13T07:31:55.867659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:56.005620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct280
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2019-01-07 00:00:00
Maximum2023-04-30 00:00:00
2023-12-13T07:31:56.132646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:31:56.254569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
폐사체
123 
방생
104 
안락사
73 
DOA
33 
폐사
31 

Length

Max length3
Median length3
Mean length2.6291209
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
폐사체 123
33.8%
방생 104
28.6%
안락사 73
20.1%
DOA 33
 
9.1%
폐사 31
 
8.5%

Length

2023-12-13T07:31:56.376211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:56.479785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐사체 123
33.8%
방생 104
28.6%
안락사 73
20.1%
doa 33
 
9.1%
폐사 31
 
8.5%

이첩 방생 위치
Text

MISSING 

Distinct88
Distinct (%)84.6%
Missing260
Missing (%)71.4%
Memory size3.0 KiB
2023-12-13T07:31:56.753213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length21.182692
Min length16

Characters and Unicode

Total characters2203
Distinct characters124
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

Unique80 ?
Unique (%)76.9%

Sample

1st row충청남도 서산시 부석면 창리 274-10
2nd row충청남도 예산군 대흥면 갈신리 산 53
3rd row충청남도 태안군 안면읍 창기리 1265-3
4th row충청남도 태안군 안면읍 창기리 1265-3
5th row충청남도 태안군 안면읍 창기리 1265-3
ValueCountFrequency (%)
충청남도 69
 
12.6%
태안군 50
 
9.2%
충남 32
 
5.9%
산 30
 
5.5%
예산군 23
 
4.2%
안면읍 21
 
3.8%
서산시 12
 
2.2%
창기리 11
 
2.0%
부석면 10
 
1.8%
예산읍 9
 
1.6%
Other values (182) 279
51.1%
2023-12-13T07:31:57.161362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
453
20.6%
남 117
 
5.3%
충 101
 
4.6%
리 99
 
4.5%
산 96
 
4.4%
면 83
 
3.8%
안 81
 
3.7%
군 80
 
3.6%
1 78
 
3.5%
- 71
 
3.2%
Other values (114) 944
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1300
59.0%
Space Separator 453
 
20.6%
Decimal Number 379
 
17.2%
Dash Punctuation 71
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 117
 
9.0%
충 101
 
7.8%
리 99
 
7.6%
산 96
 
7.4%
면 83
 
6.4%
안 81
 
6.2%
군 80
 
6.2%
도 70
 
5.4%
청 70
 
5.4%
태 56
 
4.3%
Other values (102) 447
34.4%
Decimal Number
ValueCountFrequency (%)
1 78
20.6%
3 62
16.4%
2 47
12.4%
5 38
10.0%
7 32
8.4%
6 31
 
8.2%
4 28
 
7.4%
9 24
 
6.3%
0 20
 
5.3%
8 19
 
5.0%
Space Separator
ValueCountFrequency (%)
453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 71
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1300
59.0%
Common 903
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 117
 
9.0%
충 101
 
7.8%
리 99
 
7.6%
산 96
 
7.4%
면 83
 
6.4%
안 81
 
6.2%
군 80
 
6.2%
도 70
 
5.4%
청 70
 
5.4%
태 56
 
4.3%
Other values (102) 447
34.4%
Common
ValueCountFrequency (%)
453
50.2%
1 78
 
8.6%
- 71
 
7.9%
3 62
 
6.9%
2 47
 
5.2%
5 38
 
4.2%
7 32
 
3.5%
6 31
 
3.4%
4 28
 
3.1%
9 24
 
2.7%
Other values (2) 39
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1300
59.0%
ASCII 903
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
453
50.2%
1 78
 
8.6%
- 71
 
7.9%
3 62
 
6.9%
2 47
 
5.2%
5 38
 
4.2%
7 32
 
3.5%
6 31
 
3.4%
4 28
 
3.1%
9 24
 
2.7%
Other values (2) 39
 
4.3%
Hangul
ValueCountFrequency (%)
남 117
 
9.0%
충 101
 
7.8%
리 99
 
7.6%
산 96
 
7.4%
면 83
 
6.4%
안 81
 
6.2%
군 80
 
6.2%
도 70
 
5.4%
청 70
 
5.4%
태 56
 
4.3%
Other values (102) 447
34.4%

사체처리
Categorical

Distinct10
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
기타
189 
<NA>
104 
폐기
31 
냉동(신냉동창고)(투입박스(일반))
20 
냉동(구냉동창고)(성체고라니, 개선충너구리)
 
8
Other values (5)
 
12

Length

Max length24
Median length2
Mean length4.2335165
Min length2

Unique

Unique3 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
기타 189
51.9%
<NA> 104
28.6%
폐기 31
 
8.5%
냉동(신냉동창고)(투입박스(일반)) 20
 
5.5%
냉동(구냉동창고)(성체고라니, 개선충너구리) 8
 
2.2%
기타(협조) 7
 
1.9%
냉동(표본제작실)(중소형조류 1) 2
 
0.5%
부검 1
 
0.3%
냉동(표본제작실)(중소형조류 2) 1
 
0.3%
냉동(신냉동창고)(협조예정) 1
 
0.3%

Length

2023-12-13T07:31:57.280615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:57.395145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 189
50.4%
na 104
27.7%
폐기 31
 
8.3%
냉동(신냉동창고)(투입박스(일반 20
 
5.3%
냉동(구냉동창고)(성체고라니 8
 
2.1%
개선충너구리 8
 
2.1%
기타(협조 7
 
1.9%
냉동(표본제작실)(중소형조류 3
 
0.8%
1 2
 
0.5%
부검 1
 
0.3%
Other values (2) 2
 
0.5%

동물성별
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Unknown
248 
Male
71 
Female
45 

Length

Max length7
Median length7
Mean length6.2912088
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 248
68.1%
Male 71
 
19.5%
Female 45
 
12.4%

Length

2023-12-13T07:31:57.764735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:31:57.853022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 248
68.1%
male 71
 
19.5%
female 45
 
12.4%

동물연령
Categorical

Distinct29
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
0년0월0일
119 
Adult
57 
Unknown
47 
Nestling
47 
Juvenile
38 
Other values (24)
56 

Length

Max length8
Median length7
Mean length6.4532967
Min length5

Unique

Unique13 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 119
32.7%
Adult 57
15.7%
Unknown 47
 
12.9%
Nestling 47
 
12.9%
Juvenile 38
 
10.4%
0년3월0일 10
 
2.7%
0년6월0일 6
 
1.6%
0년7월0일 5
 
1.4%
0년1월0일 5
 
1.4%
0년2월0일 3
 
0.8%
Other values (19) 27
 
7.4%

Length

2023-12-13T07:31:57.953910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 119
32.7%
adult 57
15.7%
unknown 47
 
12.9%
nestling 47
 
12.9%
juvenile 38
 
10.4%
0년3월0일 10
 
2.7%
0년6월0일 6
 
1.6%
0년7월0일 5
 
1.4%
0년1월0일 5
 
1.4%
0년2월0일 3
 
0.8%
Other values (19) 27
 
7.4%

구조위도
Text

Distinct290
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:31:58.242671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8516484
Min length1

Characters and Unicode

Total characters3222
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

Unique258 ?
Unique (%)70.9%

Sample

1st row36.687417
2nd row36.497167
3rd row36.501694
4th row36.826528
5th row36.509278
ValueCountFrequency (%)
36.514417 8
 
2.2%
36.758111 7
 
1.9%
36.407611 7
 
1.9%
36.40.212 7
 
1.9%
36.31.114 6
 
1.6%
36.585806 5
 
1.4%
36.757556 5
 
1.4%
36.43.576 5
 
1.4%
36.30.519 4
 
1.1%
36.68675 4
 
1.1%
Other values (280) 306
84.1%
2023-12-13T07:31:58.676563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 567
17.6%
3 543
16.9%
. 472
14.6%
7 265
8.2%
4 246
7.6%
5 244
7.6%
1 221
 
6.9%
8 203
 
6.3%
2 168
 
5.2%
9 151
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2750
85.4%
Other Punctuation 472
 
14.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 567
20.6%
3 543
19.7%
7 265
9.6%
4 246
8.9%
5 244
8.9%
1 221
 
8.0%
8 203
 
7.4%
2 168
 
6.1%
9 151
 
5.5%
0 142
 
5.2%
Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3222
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 567
17.6%
3 543
16.9%
. 472
14.6%
7 265
8.2%
4 246
7.6%
5 244
7.6%
1 221
 
6.9%
8 203
 
6.3%
2 168
 
5.2%
9 151
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3222
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 567
17.6%
3 543
16.9%
. 472
14.6%
7 265
8.2%
4 246
7.6%
5 244
7.6%
1 221
 
6.9%
8 203
 
6.3%
2 168
 
5.2%
9 151
 
4.7%

구조경도
Text

Distinct290
Distinct (%)79.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:31:58.955506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8104396
Min length1

Characters and Unicode

Total characters3571
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

Unique261 ?
Unique (%)71.7%

Sample

1st row126.289667
2nd row126.335278
3rd row126.335278
4th row126.16075
5th row126.348528
ValueCountFrequency (%)
126.352917 8
 
2.2%
126.17.121 7
 
1.9%
126.419167 7
 
1.9%
126.171 7
 
1.9%
126.20.428 6
 
1.6%
126.296333 5
 
1.4%
126.18.167 5
 
1.4%
126.317222 5
 
1.4%
126.21.105 4
 
1.1%
126.297583 4
 
1.1%
Other values (280) 306
84.1%
2023-12-13T07:31:59.405269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 675
18.9%
1 671
18.8%
6 520
14.6%
. 472
13.2%
3 308
8.6%
8 169
 
4.7%
7 164
 
4.6%
4 150
 
4.2%
0 148
 
4.1%
5 147
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3099
86.8%
Other Punctuation 472
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 675
21.8%
1 671
21.7%
6 520
16.8%
3 308
9.9%
8 169
 
5.5%
7 164
 
5.3%
4 150
 
4.8%
0 148
 
4.8%
5 147
 
4.7%
9 147
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 472
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3571
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 675
18.9%
1 671
18.8%
6 520
14.6%
. 472
13.2%
3 308
8.6%
8 169
 
4.7%
7 164
 
4.6%
4 150
 
4.2%
0 148
 
4.1%
5 147
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3571
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 675
18.9%
1 671
18.8%
6 520
14.6%
. 472
13.2%
3 308
8.6%
8 169
 
4.7%
7 164
 
4.6%
4 150
 
4.2%
0 148
 
4.1%
5 147
 
4.1%

구조고도
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.505495
Minimum0
Maximum82
Zeros16
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T07:31:59.538260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median13
Q323
95-th percentile37
Maximum82
Range82
Interquartile range (IQR)16

Descriptive statistics

Standard deviation13.060042
Coefficient of variation (CV)0.79125423
Kurtosis1.8530868
Mean16.505495
Median Absolute Deviation (MAD)8
Skewness1.18766
Sum6008
Variance170.56471
MonotonicityNot monotonic
2023-12-13T07:31:59.654081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 22
 
6.0%
12 19
 
5.2%
5 18
 
4.9%
0 16
 
4.4%
37 16
 
4.4%
7 15
 
4.1%
6 15
 
4.1%
10 15
 
4.1%
4 14
 
3.8%
20 14
 
3.8%
Other values (42) 200
54.9%
ValueCountFrequency (%)
0 16
4.4%
1 14
3.8%
2 5
 
1.4%
3 5
 
1.4%
4 14
3.8%
5 18
4.9%
6 15
4.1%
7 15
4.1%
8 22
6.0%
9 12
3.3%
ValueCountFrequency (%)
82 1
0.3%
67 1
0.3%
60 1
0.3%
53 2
0.5%
52 2
0.5%
50 1
0.3%
49 1
0.3%
45 1
0.3%
44 2
0.5%
43 1
0.3%

방생위도
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)87.0%
Missing295
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean36.620183
Minimum36.021526
Maximum36.887326
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T07:31:59.772617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.021526
5-th percentile36.423106
Q136.570175
median36.639763
Q336.692224
95-th percentile36.788608
Maximum36.887326
Range0.86579968
Interquartile range (IQR)0.12204881

Descriptive statistics

Standard deviation0.12852372
Coefficient of variation (CV)0.0035096417
Kurtosis5.9164752
Mean36.620183
Median Absolute Deviation (MAD)0.06000369
Skewness-1.556577
Sum2526.7926
Variance0.016518347
MonotonicityNot monotonic
2023-12-13T07:31:59.909443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.58538642 5
 
1.4%
36.66606467 4
 
1.1%
36.73269995 2
 
0.5%
36.53362706 2
 
0.5%
36.66960818 1
 
0.3%
36.70036915 1
 
0.3%
36.67008139 1
 
0.3%
36.67366602 1
 
0.3%
36.84064795 1
 
0.3%
36.02152591 1
 
0.3%
Other values (50) 50
 
13.7%
(Missing) 295
81.0%
ValueCountFrequency (%)
36.02152591 1
0.3%
36.36345959 1
0.3%
36.39970411 1
0.3%
36.42174287 1
0.3%
36.42515113 1
0.3%
36.42884481 1
0.3%
36.46605692 1
0.3%
36.47606549 1
0.3%
36.47654359 1
0.3%
36.49935355 1
0.3%
ValueCountFrequency (%)
36.88732559 1
0.3%
36.84064795 1
0.3%
36.80406176 1
0.3%
36.80393827 1
0.3%
36.76561266 1
0.3%
36.7654949 1
0.3%
36.74907178 1
0.3%
36.74827467 1
0.3%
36.7372186 1
0.3%
36.73269995 2
0.5%

방생경도
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)87.0%
Missing295
Missing (%)81.0%
Infinite0
Infinite (%)0.0%
Mean126.54608
Minimum126.15617
Maximum127.30276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2023-12-13T07:32:00.090503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.15617
5-th percentile126.19542
Q1126.32258
median126.38396
Q3126.84512
95-th percentile126.96614
Maximum127.30276
Range1.1465869
Interquartile range (IQR)0.5225427

Descriptive statistics

Standard deviation0.29477567
Coefficient of variation (CV)0.0023293939
Kurtosis-0.7778639
Mean126.54608
Median Absolute Deviation (MAD)0.1031611
Skewness0.67632374
Sum8731.6799
Variance0.086892698
MonotonicityNot monotonic
2023-12-13T07:32:00.251516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.3171293 5
 
1.4%
126.8663143 4
 
1.1%
126.9658272 2
 
0.5%
126.9410072 2
 
0.5%
126.2869307 1
 
0.3%
126.842032 1
 
0.3%
126.8596661 1
 
0.3%
126.2838603 1
 
0.3%
126.1903124 1
 
0.3%
126.7407953 1
 
0.3%
Other values (50) 50
 
13.7%
(Missing) 295
81.0%
ValueCountFrequency (%)
126.156169 1
0.3%
126.1568871 1
0.3%
126.1903124 1
0.3%
126.1923159 1
0.3%
126.20008 1
0.3%
126.2325583 1
0.3%
126.2807949 1
0.3%
126.2838603 1
0.3%
126.2861158 1
0.3%
126.2862668 1
0.3%
ValueCountFrequency (%)
127.3027559 1
0.3%
127.2595397 1
0.3%
127.0264673 1
0.3%
126.9663512 1
0.3%
126.9658272 2
0.5%
126.9513378 1
0.3%
126.9410072 2
0.5%
126.9020997 1
0.3%
126.8890182 1
0.3%
126.8801758 1
0.3%

발견장소상세
Text

MISSING 

Distinct209
Distinct (%)71.1%
Missing70
Missing (%)19.2%
Memory size3.0 KiB
2023-12-13T07:32:00.532555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length8.5816327
Min length2

Characters and Unicode

Total characters2523
Distinct characters251
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

Unique186 ?
Unique (%)63.3%

Sample

1st row공사장 주변 도로
2nd row꽃지해수욕장
3rd row꽃지해수욕장 주차장
4th row의항해수욕장
5th row주소지 부근 건물 옆
ValueCountFrequency (%)
주소지 65
 
9.3%
부근 58
 
8.3%
도로변 45
 
6.4%
인근 25
 
3.6%
농경지 23
 
3.3%
앞 23
 
3.3%
주변 16
 
2.3%
도로 15
 
2.1%
해수욕장 13
 
1.9%
옆 12
 
1.7%
Other values (236) 403
57.7%
2023-12-13T07:32:00.948552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
415
 
16.4%
지 104
 
4.1%
주 98
 
3.9%
로 95
 
3.8%
근 95
 
3.8%
소 80
 
3.2%
도 77
 
3.1%
변 74
 
2.9%
부 72
 
2.9%
장 71
 
2.8%
Other values (241) 1342
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1973
78.2%
Space Separator 415
 
16.4%
Decimal Number 76
 
3.0%
Close Punctuation 21
 
0.8%
Open Punctuation 21
 
0.8%
Dash Punctuation 9
 
0.4%
Lowercase Letter 4
 
0.2%
Other Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 104
 
5.3%
주 98
 
5.0%
로 95
 
4.8%
근 95
 
4.8%
소 80
 
4.1%
도 77
 
3.9%
변 74
 
3.8%
부 72
 
3.6%
장 71
 
3.6%
해 62
 
3.1%
Other values (225) 1145
58.0%
Decimal Number
ValueCountFrequency (%)
1 18
23.7%
2 13
17.1%
3 10
13.2%
4 8
10.5%
0 7
 
9.2%
5 6
 
7.9%
9 5
 
6.6%
7 4
 
5.3%
6 3
 
3.9%
8 2
 
2.6%
Space Separator
ValueCountFrequency (%)
415
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1973
78.2%
Common 546
 
21.6%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 104
 
5.3%
주 98
 
5.0%
로 95
 
4.8%
근 95
 
4.8%
소 80
 
4.1%
도 77
 
3.9%
변 74
 
3.8%
부 72
 
3.6%
장 71
 
3.6%
해 62
 
3.1%
Other values (225) 1145
58.0%
Common
ValueCountFrequency (%)
415
76.0%
) 21
 
3.8%
( 21
 
3.8%
1 18
 
3.3%
2 13
 
2.4%
3 10
 
1.8%
- 9
 
1.6%
4 8
 
1.5%
0 7
 
1.3%
5 6
 
1.1%
Other values (5) 18
 
3.3%
Latin
ValueCountFrequency (%)
c 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1973
78.2%
ASCII 550
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
415
75.5%
) 21
 
3.8%
( 21
 
3.8%
1 18
 
3.3%
2 13
 
2.4%
3 10
 
1.8%
- 9
 
1.6%
4 8
 
1.5%
0 7
 
1.3%
5 6
 
1.1%
Other values (6) 22
 
4.0%
Hangul
ValueCountFrequency (%)
지 104
 
5.3%
주 98
 
5.0%
로 95
 
4.8%
근 95
 
4.8%
소 80
 
4.1%
도 77
 
3.9%
변 74
 
3.8%
부 72
 
3.6%
장 71
 
3.6%
해 62
 
3.1%
Other values (225) 1145
58.0%

발견주소
Text

Distinct301
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:32:01.165294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length21.14011
Min length8

Characters and Unicode

Total characters7695
Distinct characters121
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

Unique274 ?
Unique (%)75.3%

Sample

1st row충청남도 태안군 남면 신장리 499-1
2nd row충청남도 태안군 안면읍 승언리
3rd row충청남도 태안군 안면읍 승언리 339-180
4th row충청남도 태안군 소원면 의항리 산 81-1
5th row충청남도 태안군 안면읍 승언리 339-358
ValueCountFrequency (%)
태안군 364
20.0%
충청남도 255
 
14.0%
충남 109
 
6.0%
안면읍 109
 
6.0%
남면 63
 
3.5%
태안읍 55
 
3.0%
승언리 47
 
2.6%
소원면 38
 
2.1%
고남면 32
 
1.8%
원북면 30
 
1.6%
Other values (379) 718
39.5%
2023-12-13T07:32:01.482812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1472
19.1%
안 537
 
7.0%
남 491
 
6.4%
태 419
 
5.4%
군 365
 
4.7%
충 364
 
4.7%
면 311
 
4.0%
리 306
 
4.0%
1 299
 
3.9%
청 265
 
3.4%
Other values (111) 2866
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4487
58.3%
Decimal Number 1478
 
19.2%
Space Separator 1472
 
19.1%
Dash Punctuation 258
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 537
12.0%
남 491
10.9%
태 419
9.3%
군 365
 
8.1%
충 364
 
8.1%
면 311
 
6.9%
리 306
 
6.8%
청 265
 
5.9%
도 265
 
5.9%
읍 164
 
3.7%
Other values (99) 1000
22.3%
Decimal Number
ValueCountFrequency (%)
1 299
20.2%
2 213
14.4%
3 189
12.8%
5 131
8.9%
4 129
8.7%
9 120
8.1%
6 109
 
7.4%
7 105
 
7.1%
8 96
 
6.5%
0 87
 
5.9%
Space Separator
ValueCountFrequency (%)
1472
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4487
58.3%
Common 3208
41.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 537
12.0%
남 491
10.9%
태 419
9.3%
군 365
 
8.1%
충 364
 
8.1%
면 311
 
6.9%
리 306
 
6.8%
청 265
 
5.9%
도 265
 
5.9%
읍 164
 
3.7%
Other values (99) 1000
22.3%
Common
ValueCountFrequency (%)
1472
45.9%
1 299
 
9.3%
- 258
 
8.0%
2 213
 
6.6%
3 189
 
5.9%
5 131
 
4.1%
4 129
 
4.0%
9 120
 
3.7%
6 109
 
3.4%
7 105
 
3.3%
Other values (2) 183
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4487
58.3%
ASCII 3208
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1472
45.9%
1 299
 
9.3%
- 258
 
8.0%
2 213
 
6.6%
3 189
 
5.9%
5 131
 
4.1%
4 129
 
4.0%
9 120
 
3.7%
6 109
 
3.4%
7 105
 
3.3%
Other values (2) 183
 
5.7%
Hangul
ValueCountFrequency (%)
안 537
12.0%
남 491
10.9%
태 419
9.3%
군 365
 
8.1%
충 364
 
8.1%
면 311
 
6.9%
리 306
 
6.8%
청 265
 
5.9%
도 265
 
5.9%
읍 164
 
3.7%
Other values (99) 1000
22.3%

발견장소특징
Categorical

Distinct7
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
건물옆
117 
도로변
114 
강, 바다
58 
농경지
51 
기타
 
11
Other values (2)
13 

Length

Max length5
Median length3
Mean length3.2252747
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 117
32.1%
도로변 114
31.3%
강, 바다 58
15.9%
농경지 51
14.0%
기타 11
 
3.0%
숲 10
 
2.7%
전선 3
 
0.8%

Length

2023-12-13T07:32:01.627039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:32:01.764707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 117
27.7%
도로변 114
27.0%
강 58
13.7%
바다 58
13.7%
농경지 51
12.1%
기타 11
 
2.6%
숲 10
 
2.4%
전선 3
 
0.7%

발생원인
Categorical

Distinct21
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
차량과의 충돌
92 
전선/건물과의 충돌
60 
어미를 잃음(미아)
55 
기생충 중감염
34 
인공구조물에 얽힘
26 
Other values (16)
97 

Length

Max length12
Median length11
Mean length8.282967
Min length1

Unique

Unique5 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
차량과의 충돌 92
25.3%
전선/건물과의 충돌 60
16.5%
어미를 잃음(미아) 55
15.1%
기생충 중감염 34
 
9.3%
인공구조물에 얽힘 26
 
7.1%
인공구조물 침입·고립 25
 
6.9%
기아 및 탈진 20
 
5.5%
알 수 없는 사고 16
 
4.4%
낚시 쓰레기 11
 
3.0%
자연적 사고 5
 
1.4%
Other values (11) 20
 
5.5%

Length

2023-12-13T07:32:01.917823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 152
19.8%
차량과의 92
12.0%
전선/건물과의 60
 
7.8%
어미를 55
 
7.2%
잃음(미아 55
 
7.2%
기생충 34
 
4.4%
중감염 34
 
4.4%
인공구조물에 26
 
3.4%
얽힘 26
 
3.4%
침입·고립 25
 
3.3%
Other values (27) 210
27.3%

발생원인 세부사항
Text

Distinct121
Distinct (%)33.3%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-13T07:32:02.129092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length21
Mean length9.6831956
Min length2

Characters and Unicode

Total characters3515
Distinct characters187
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)20.4%

Sample

1st row차량충돌 추정
2nd row어미를 잃음(미아)
3rd row꽃지해수욕장 주차장에서 발견
4th row자연적으로 생긴 종양
5th row인공구조물과의 충돌 추정
ValueCountFrequency (%)
충돌 129
 
13.8%
차량과의 72
 
7.7%
추정 39
 
4.2%
어미를 30
 
3.2%
잃음(미아 28
 
3.0%
얽힘 26
 
2.8%
인공구조물 23
 
2.5%
고립 22
 
2.3%
기생충 20
 
2.1%
사고 19
 
2.0%
Other values (163) 530
56.5%
2023-12-13T07:32:02.490713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
608
 
17.3%
충 211
 
6.0%
돌 158
 
4.5%
차 101
 
2.9%
량 98
 
2.8%
과 95
 
2.7%
의 95
 
2.7%
물 88
 
2.5%
/ 78
 
2.2%
미 75
 
2.1%
Other values (177) 1908
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2733
77.8%
Space Separator 608
 
17.3%
Other Punctuation 100
 
2.8%
Open Punctuation 37
 
1.1%
Close Punctuation 37
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 211
 
7.7%
돌 158
 
5.8%
차 101
 
3.7%
량 98
 
3.6%
과 95
 
3.5%
의 95
 
3.5%
물 88
 
3.2%
미 75
 
2.7%
아 63
 
2.3%
선 62
 
2.3%
Other values (171) 1687
61.7%
Other Punctuation
ValueCountFrequency (%)
/ 78
78.0%
, 21
 
21.0%
· 1
 
1.0%
Space Separator
ValueCountFrequency (%)
608
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2733
77.8%
Common 782
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 211
 
7.7%
돌 158
 
5.8%
차 101
 
3.7%
량 98
 
3.6%
과 95
 
3.5%
의 95
 
3.5%
물 88
 
3.2%
미 75
 
2.7%
아 63
 
2.3%
선 62
 
2.3%
Other values (171) 1687
61.7%
Common
ValueCountFrequency (%)
608
77.7%
/ 78
 
10.0%
( 37
 
4.7%
) 37
 
4.7%
, 21
 
2.7%
· 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2733
77.8%
ASCII 781
 
22.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
608
77.8%
/ 78
 
10.0%
( 37
 
4.7%
) 37
 
4.7%
, 21
 
2.7%
Hangul
ValueCountFrequency (%)
충 211
 
7.7%
돌 158
 
5.8%
차 101
 
3.7%
량 98
 
3.6%
과 95
 
3.5%
의 95
 
3.5%
물 88
 
3.2%
미 75
 
2.7%
아 63
 
2.3%
선 62
 
2.3%
Other values (171) 1687
61.7%
None
ValueCountFrequency (%)
· 1
100.0%

TM구조위도
Text

MISSING 

Distinct207
Distinct (%)81.2%
Missing109
Missing (%)29.9%
Memory size3.0 KiB
2023-12-13T07:32:02.832619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2550
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

Unique187 ?
Unique (%)73.3%

Sample

1st row36 41 14.7
2nd row36 29 49.8
3rd row36 30 06.1
4th row36 49 35.5
5th row36 30 33.4
ValueCountFrequency (%)
36 257
33.6%
45 30
 
3.9%
30 22
 
2.9%
24 16
 
2.1%
40 15
 
2.0%
41 14
 
1.8%
35 12
 
1.6%
44 11
 
1.4%
46 11
 
1.4%
34 11
 
1.4%
Other values (197) 366
47.8%
2023-12-13T07:32:03.278608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
510
20.0%
3 421
16.5%
6 303
11.9%
. 255
10.0%
4 243
9.5%
2 161
 
6.3%
0 152
 
6.0%
5 147
 
5.8%
1 129
 
5.1%
9 89
 
3.5%
Other values (2) 140
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1785
70.0%
Space Separator 510
 
20.0%
Other Punctuation 255
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 421
23.6%
6 303
17.0%
4 243
13.6%
2 161
 
9.0%
0 152
 
8.5%
5 147
 
8.2%
1 129
 
7.2%
9 89
 
5.0%
7 77
 
4.3%
8 63
 
3.5%
Space Separator
ValueCountFrequency (%)
510
100.0%
Other Punctuation
ValueCountFrequency (%)
. 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
510
20.0%
3 421
16.5%
6 303
11.9%
. 255
10.0%
4 243
9.5%
2 161
 
6.3%
0 152
 
6.0%
5 147
 
5.8%
1 129
 
5.1%
9 89
 
3.5%
Other values (2) 140
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
510
20.0%
3 421
16.5%
6 303
11.9%
. 255
10.0%
4 243
9.5%
2 161
 
6.3%
0 152
 
6.0%
5 147
 
5.8%
1 129
 
5.1%
9 89
 
3.5%
Other values (2) 140
 
5.5%

TM구조경도
Text

MISSING 

Distinct208
Distinct (%)81.6%
Missing109
Missing (%)29.9%
Memory size3.0 KiB
2023-12-13T07:32:03.710738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters2805
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

Unique190 ?
Unique (%)74.5%

Sample

1st row126 17 22.8
2nd row126 20 07.0
3rd row126 20 07.0
4th row126 09 38.7
5th row126 20 54.7
ValueCountFrequency (%)
126 254
33.2%
17 43
 
5.6%
20 34
 
4.4%
19 30
 
3.9%
18 22
 
2.9%
25 16
 
2.1%
21 15
 
2.0%
10 13
 
1.7%
22 12
 
1.6%
09 12
 
1.6%
Other values (196) 314
41.0%
2023-12-13T07:32:04.216239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 531
18.9%
510
18.2%
2 449
16.0%
6 322
11.5%
. 255
9.1%
0 197
 
7.0%
5 114
 
4.1%
9 109
 
3.9%
7 93
 
3.3%
4 79
 
2.8%
Other values (2) 146
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2040
72.7%
Space Separator 510
 
18.2%
Other Punctuation 255
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 531
26.0%
2 449
22.0%
6 322
15.8%
0 197
 
9.7%
5 114
 
5.6%
9 109
 
5.3%
7 93
 
4.6%
4 79
 
3.9%
3 75
 
3.7%
8 71
 
3.5%
Space Separator
ValueCountFrequency (%)
510
100.0%
Other Punctuation
ValueCountFrequency (%)
. 255
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2805
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 531
18.9%
510
18.2%
2 449
16.0%
6 322
11.5%
. 255
9.1%
0 197
 
7.0%
5 114
 
4.1%
9 109
 
3.9%
7 93
 
3.3%
4 79
 
2.8%
Other values (2) 146
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2805
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 531
18.9%
510
18.2%
2 449
16.0%
6 322
11.5%
. 255
9.1%
0 197
 
7.0%
5 114
 
4.1%
9 109
 
3.9%
7 93
 
3.3%
4 79
 
2.8%
Other values (2) 146
 
5.2%

TM방생위도
Text

MISSING 

Distinct61
Distinct (%)87.1%
Missing294
Missing (%)80.8%
Memory size3.0 KiB
2023-12-13T07:32:04.455191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters700
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

Unique57 ?
Unique (%)81.4%

Sample

1st row36 37 19.0
2nd row36 39 57.7
3rd row36 35 07.4
4th row36 35 07.4
5th row36 35 07.4
ValueCountFrequency (%)
36 72
34.3%
41 7
 
3.3%
57.7 7
 
3.3%
35 6
 
2.9%
40 6
 
2.9%
38 6
 
2.9%
39 6
 
2.9%
07.4 5
 
2.4%
34 4
 
1.9%
25 3
 
1.4%
Other values (73) 88
41.9%
2023-12-13T07:32:04.830620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
20.0%
3 122
17.4%
6 84
12.0%
. 70
10.0%
4 59
8.4%
5 48
 
6.9%
1 40
 
5.7%
0 39
 
5.6%
7 33
 
4.7%
2 26
 
3.7%
Other values (2) 39
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 490
70.0%
Space Separator 140
 
20.0%
Other Punctuation 70
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 122
24.9%
6 84
17.1%
4 59
12.0%
5 48
 
9.8%
1 40
 
8.2%
0 39
 
8.0%
7 33
 
6.7%
2 26
 
5.3%
8 22
 
4.5%
9 17
 
3.5%
Space Separator
ValueCountFrequency (%)
140
100.0%
Other Punctuation
ValueCountFrequency (%)
. 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 700
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
140
20.0%
3 122
17.4%
6 84
12.0%
. 70
10.0%
4 59
8.4%
5 48
 
6.9%
1 40
 
5.7%
0 39
 
5.6%
7 33
 
4.7%
2 26
 
3.7%
Other values (2) 39
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 700
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
20.0%
3 122
17.4%
6 84
12.0%
. 70
10.0%
4 59
8.4%
5 48
 
6.9%
1 40
 
5.7%
0 39
 
5.6%
7 33
 
4.7%
2 26
 
3.7%
Other values (2) 39
 
5.6%

TM방생경도
Text

MISSING 

Distinct60
Distinct (%)85.7%
Missing294
Missing (%)80.8%
Memory size3.0 KiB
2023-12-13T07:32:05.081516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters770
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

Unique55 ?
Unique (%)78.6%

Sample

1st row126 22 26.0
2nd row126 51 58.8
3rd row126 19 02.0
4th row126 19 02.0
5th row126 19 02.0
ValueCountFrequency (%)
126 66
31.4%
19 9
 
4.3%
20 7
 
3.3%
22 6
 
2.9%
02.0 5
 
2.4%
51 5
 
2.4%
58.8 4
 
1.9%
57 4
 
1.9%
17 4
 
1.9%
23 4
 
1.9%
Other values (81) 96
45.7%
2023-12-13T07:32:05.459198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
140
18.2%
2 123
16.0%
1 119
15.5%
6 85
11.0%
. 70
9.1%
0 51
 
6.6%
5 50
 
6.5%
3 29
 
3.8%
7 28
 
3.6%
9 27
 
3.5%
Other values (2) 48
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 560
72.7%
Space Separator 140
 
18.2%
Other Punctuation 70
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 123
22.0%
1 119
21.2%
6 85
15.2%
0 51
9.1%
5 50
8.9%
3 29
 
5.2%
7 28
 
5.0%
9 27
 
4.8%
8 24
 
4.3%
4 24
 
4.3%
Space Separator
ValueCountFrequency (%)
140
100.0%
Other Punctuation
ValueCountFrequency (%)
. 70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
140
18.2%
2 123
16.0%
1 119
15.5%
6 85
11.0%
. 70
9.1%
0 51
 
6.6%
5 50
 
6.5%
3 29
 
3.8%
7 28
 
3.6%
9 27
 
3.5%
Other values (2) 48
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
140
18.2%
2 123
16.0%
1 119
15.5%
6 85
11.0%
. 70
9.1%
0 51
 
6.6%
5 50
 
6.5%
3 29
 
3.8%
7 28
 
3.6%
9 27
 
3.5%
Other values (2) 48
 
6.2%

등록체중
Text

Distinct190
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:32:05.826303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.6483516
Min length1

Characters and Unicode

Total characters964
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)46.4%

Sample

1st row0
2nd row24
3rd row18
4th row340
5th row418
ValueCountFrequency (%)
0 131
36.0%
10 9
 
2.5%
23.5 7
 
1.9%
13 6
 
1.6%
28 6
 
1.6%
18 4
 
1.1%
20 3
 
0.8%
21 3
 
0.8%
100 2
 
0.5%
14340 2
 
0.5%
Other values (180) 191
52.5%
2023-12-13T07:32:06.341225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 301
31.2%
1 133
13.8%
4 113
 
11.7%
2 93
 
9.6%
3 76
 
7.9%
8 62
 
6.4%
6 59
 
6.1%
5 52
 
5.4%
, 26
 
2.7%
7 21
 
2.2%
Other values (2) 28
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 929
96.4%
Other Punctuation 35
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 301
32.4%
1 133
14.3%
4 113
 
12.2%
2 93
 
10.0%
3 76
 
8.2%
8 62
 
6.7%
6 59
 
6.4%
5 52
 
5.6%
7 21
 
2.3%
9 19
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 26
74.3%
. 9
 
25.7%

Most occurring scripts

ValueCountFrequency (%)
Common 964
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 301
31.2%
1 133
13.8%
4 113
 
11.7%
2 93
 
9.6%
3 76
 
7.9%
8 62
 
6.4%
6 59
 
6.1%
5 52
 
5.4%
, 26
 
2.7%
7 21
 
2.2%
Other values (2) 28
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 964
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 301
31.2%
1 133
13.8%
4 113
 
11.7%
2 93
 
9.6%
3 76
 
7.9%
8 62
 
6.4%
6 59
 
6.1%
5 52
 
5.4%
, 26
 
2.7%
7 21
 
2.2%
Other values (2) 28
 
2.9%

현재체중
Text

Distinct192
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-13T07:32:06.703340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.6593407
Min length1

Characters and Unicode

Total characters968
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)45.3%

Sample

1st row0
2nd row24
3rd row18
4th row394
5th row418
ValueCountFrequency (%)
0 130
35.7%
75 5
 
1.4%
7 5
 
1.4%
18 4
 
1.1%
10 4
 
1.1%
727 4
 
1.1%
23 3
 
0.8%
464 3
 
0.8%
13 3
 
0.8%
20 3
 
0.8%
Other values (182) 200
54.9%
2023-12-13T07:32:07.190404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 299
30.9%
1 125
12.9%
4 113
 
11.7%
2 83
 
8.6%
6 69
 
7.1%
3 63
 
6.5%
5 60
 
6.2%
8 54
 
5.6%
7 41
 
4.2%
9 30
 
3.1%
Other values (2) 31
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 937
96.8%
Other Punctuation 31
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 299
31.9%
1 125
13.3%
4 113
 
12.1%
2 83
 
8.9%
6 69
 
7.4%
3 63
 
6.7%
5 60
 
6.4%
8 54
 
5.8%
7 41
 
4.4%
9 30
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 27
87.1%
. 4
 
12.9%

Most occurring scripts

ValueCountFrequency (%)
Common 968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 299
30.9%
1 125
12.9%
4 113
 
11.7%
2 83
 
8.6%
6 69
 
7.1%
3 63
 
6.5%
5 60
 
6.2%
8 54
 
5.6%
7 41
 
4.2%
9 30
 
3.1%
Other values (2) 31
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 299
30.9%
1 125
12.9%
4 113
 
11.7%
2 83
 
8.6%
6 69
 
7.1%
3 63
 
6.5%
5 60
 
6.2%
8 54
 
5.6%
7 41
 
4.2%
9 30
 
3.1%
Other values (2) 31
 
3.2%

임상적최종진단
Text

Distinct247
Distinct (%)68.0%
Missing1
Missing (%)0.3%
Memory size3.0 KiB
2023-12-13T07:32:07.495309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length31
Mean length12.225895
Min length2

Characters and Unicode

Total characters4438
Distinct characters280
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

Unique220 ?
Unique (%)60.6%

Sample

1st row차량충돌 추정
2nd row미아
3rd row미아
4th row흑색종(melanoma)
5th row우측 상완골 개방골절 및 골절부 이하 피부 괴사
ValueCountFrequency (%)
의한 68
 
5.2%
및 68
 
5.2%
미아 47
 
3.6%
골절 41
 
3.1%
좌측 36
 
2.8%
충돌에 34
 
2.6%
개선충 32
 
2.4%
우측 30
 
2.3%
개체 28
 
2.1%
개방골절 27
 
2.1%
Other values (352) 897
68.6%
2023-12-13T07:32:08.020097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
952
 
21.5%
골 159
 
3.6%
한 122
 
2.7%
개 112
 
2.5%
절 112
 
2.5%
충 104
 
2.3%
에 82
 
1.8%
상 82
 
1.8%
측 79
 
1.8%
의 78
 
1.8%
Other values (270) 2556
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3174
71.5%
Space Separator 952
 
21.5%
Lowercase Letter 104
 
2.3%
Uppercase Letter 70
 
1.6%
Other Punctuation 61
 
1.4%
Close Punctuation 25
 
0.6%
Open Punctuation 25
 
0.6%
Decimal Number 25
 
0.6%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 159
 
5.0%
한 122
 
3.8%
개 112
 
3.5%
절 112
 
3.5%
충 104
 
3.3%
에 82
 
2.6%
상 82
 
2.6%
측 79
 
2.5%
의 78
 
2.5%
아 70
 
2.2%
Other values (230) 2174
68.5%
Lowercase Letter
ValueCountFrequency (%)
t 12
11.5%
e 12
11.5%
a 12
11.5%
n 7
 
6.7%
m 7
 
6.7%
o 7
 
6.7%
i 7
 
6.7%
l 6
 
5.8%
c 5
 
4.8%
s 5
 
4.8%
Other values (11) 24
23.1%
Uppercase Letter
ValueCountFrequency (%)
L 23
32.9%
H 15
21.4%
B 14
20.0%
C 14
20.0%
R 3
 
4.3%
T 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
6 8
32.0%
5 6
24.0%
4 5
20.0%
2 3
 
12.0%
3 2
 
8.0%
1 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 49
80.3%
. 8
 
13.1%
/ 4
 
6.6%
Space Separator
ValueCountFrequency (%)
952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3174
71.5%
Common 1090
 
24.6%
Latin 174
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 159
 
5.0%
한 122
 
3.8%
개 112
 
3.5%
절 112
 
3.5%
충 104
 
3.3%
에 82
 
2.6%
상 82
 
2.6%
측 79
 
2.5%
의 78
 
2.5%
아 70
 
2.2%
Other values (230) 2174
68.5%
Latin
ValueCountFrequency (%)
L 23
13.2%
H 15
 
8.6%
B 14
 
8.0%
C 14
 
8.0%
t 12
 
6.9%
e 12
 
6.9%
a 12
 
6.9%
n 7
 
4.0%
m 7
 
4.0%
o 7
 
4.0%
Other values (17) 51
29.3%
Common
ValueCountFrequency (%)
952
87.3%
, 49
 
4.5%
) 25
 
2.3%
( 25
 
2.3%
. 8
 
0.7%
6 8
 
0.7%
5 6
 
0.6%
4 5
 
0.5%
/ 4
 
0.4%
2 3
 
0.3%
Other values (3) 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3174
71.5%
ASCII 1264
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
952
75.3%
, 49
 
3.9%
) 25
 
2.0%
( 25
 
2.0%
L 23
 
1.8%
H 15
 
1.2%
B 14
 
1.1%
C 14
 
1.1%
t 12
 
0.9%
e 12
 
0.9%
Other values (30) 123
 
9.7%
Hangul
ValueCountFrequency (%)
골 159
 
5.0%
한 122
 
3.8%
개 112
 
3.5%
절 112
 
3.5%
충 104
 
3.3%
에 82
 
2.6%
상 82
 
2.6%
측 79
 
2.5%
의 78
 
2.5%
아 70
 
2.2%
Other values (230) 2174
68.5%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-0150쇠기러기조강(Aves)기러기목오리과해당없음해당없음해당없음2019-03-172019-03-18폐사체<NA>기타UnknownAdult36.687417126.28966719<NA><NA>공사장 주변 도로충청남도 태안군 남면 신장리 499-1도로변차량과의 충돌차량충돌 추정36 41 14.7126 17 22.8<NA><NA>00차량충돌 추정
12019-0690흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-072019-06-08DOA<NA>기타UnknownNestling36.497167126.3352780<NA><NA>꽃지해수욕장충청남도 태안군 안면읍 승언리강, 바다어미를 잃음(미아)어미를 잃음(미아)36 29 49.8126 20 07.0<NA><NA>2424미아
22019-0915흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-302019-07-01DOA<NA>기타UnknownJuvenile36.501694126.3352788<NA><NA>꽃지해수욕장 주차장충청남도 태안군 안면읍 승언리 339-180강, 바다어미를 잃음(미아)꽃지해수욕장 주차장에서 발견36 30 06.1126 20 07.0<NA><NA>1818미아
32019-0631괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-05-312019-06-16안락사<NA>기타FemaleAdult36.826528126.160753<NA><NA>의항해수욕장충청남도 태안군 소원면 의항리 산 81-1강, 바다자연적 사고자연적으로 생긴 종양36 49 35.5126 09 38.7<NA><NA>340394흑색종(melanoma)
42019-1060괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-07-162019-07-16안락사<NA>기타UnknownAdult36.509278126.3485286<NA><NA>주소지 부근 건물 옆충청남도 태안군 안면읍 승언리 339-358건물옆전선/건물과의 충돌인공구조물과의 충돌 추정36 30 33.4126 20 54.7<NA><NA>418418우측 상완골 개방골절 및 골절부 이하 피부 괴사
52019-1131괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-07-242019-07-31방생충청남도 서산시 부석면 창리 274-10<NA>UnknownAdult36.487833126.334417036.622705126.374549리솜오션캐슬 앞 해수욕장충청남도 태안군 안면읍 중장리 765-166강, 바다인공구조물에 얽힘낚싯줄에 다리 얽힘36 29 16.2126 20 03.936 37 19.0126 22 26.0430490낚싯줄 얽힌 개체
62019-1314괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-08-172019-08-19DOA<NA>기타UnknownJuvenile36.458139126.3336672<NA><NA>해안가충청남도 태안군 안면읍 신야리 725-5강, 바다전선/건물과의 충돌전선 충돌 추정36 27 29.3126 20 01.2<NA><NA>00좌측 요척골 개방골절
72019-0320꺅도요조강(Aves)도요목도요과해당없음해당없음해당없음2019-05-022019-05-02폐사체<NA>기타UnknownAdult36.813222126.2749441<NA><NA><NA>충청남도 태안군 원북면 청산리 658도로변차량과의 충돌차량충돌 추정36 48 47.6126 16 29.8<NA><NA>00로드킬 개체
82019-0153멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-03-202019-03-20DOA<NA>기타UnknownUnknown36.679126.27672236<NA><NA><NA>충청남도 태안군 남면 몽산리 249-3건물옆전선/건물과의 충돌유리창 충돌 추정36 40 44.4126 16 36.2<NA><NA>256256충돌로 인한 내부장기 손상
92019-0361멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-05-062019-05-28방생충청남도 예산군 대흥면 갈신리 산 53<NA>UnknownNestling36.782639126.277753236.666065126.866314해송마을아파트 내 길가충청남도 태안군 태안읍 삭선리 281-25건물옆어미를 잃음(미아)미아36 46 57.5126 16 39.936 39 57.7126 51 58.8118176우측 경비골 폐쇄골절
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
3542022-0568너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-05-042022-05-06폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.31.029126.20.43613<NA><NA>꽃지해송펜션 인근충남 태안군 안면읍 꽃지2길 35-9건물옆기생충 중감염기생충 중감염<NA><NA><NA><NA>3,2843,284개선충 중감염 및 중증의 승저증
3552022-1505너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-022022-07-03DOA<NA>냉동(신냉동창고)(투입박스(일반))Male0년1월0일36.34.507126.19.42520<NA><NA>도로변충남 태안군 안면읍 창기리 1208-7도로변어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>470470개선충 감염 미아 개체
3562022-1546너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-062022-07-08폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년3월0일36.47.497126.15.01622<NA><NA><NA>충남 태안군 원북면 대기리 403-1농경지기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>936870개선충 중감염, 승저증
3572022-1647너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-152022-07-17폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년3월0일36.26.559126.20.1065<NA><NA>주소지 인근 도로상충남 태안군 안면읍 신야리 734-35건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>530530개선충 중감염
3582022-1648너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-152022-07-16DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년3월0일36.26.559126.20.1065<NA><NA>주소지 인근 도로상충남 태안군 안면읍 신야리 734-35건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>526526개선충 중감염
3592022-2125너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-09-302022-09-30안락사<NA>냉동(신냉동창고)(투입박스(일반))Male0년0월0일36.49.159126.16.40538<NA><NA>축사 옆길충남 태안군 원북면 청산길 231-25건물옆덫덫/창애<NA><NA><NA><NA>3,9403,940좌측 발목, 손목허리뼈 골절
3602022-2285너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-082022-11-08폐사체<NA>냉동(신냉동창고)(투입박스(일반))Female0년0월0일36.25.057126.21.48834<NA><NA>장산포 해수욕장충남 태안군 고남면 장곡리 산18-1강, 바다덫덫/창애<NA><NA><NA><NA>4,5464,546창애에 의한 좌전지 개방골절 및 익사
3612022-2333너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-172022-11-17폐사체<NA>폐기Unknown0년0월0일36.46.436126.20.3280<NA><NA>주소지 인근 농경지충남 태안군 태안읍 항동1길 77-23농경지기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>00개선충 중감염
3622022-2338너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-182022-11-18방생충남 태안군 원북면 동해리 266<NA>Unknown0년0월0일36.48.148126.14.1590<NA><NA>주소지 인근 농경지와 야산 경계상충남 태안군 원북면 동해리 266농경지올가미올가미<NA><NA><NA><NA>00올가미 얽힘에 의한 경미한 탈진
3632022-1912족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-08-152022-08-16폐사체<NA>기타(협조)Unknown0년0월0일36.23.572126.25.3721<NA><NA>도로변충남 태안군 고남면 영목항로 30-48도로변차량과의 충돌차량과의 충돌/<NA><NA><NA><NA>464464차량충돌로 인한 쇼크사