Overview

Dataset statistics

Number of variables34
Number of observations318
Missing cells1819
Missing cells (%)16.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory86.8 KiB
Average record size in memory279.4 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 태안군 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=15109282

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (66.2%)Imbalance
멸종위기등급 is highly imbalanced (60.8%)Imbalance
야생동물보호협약 is highly imbalanced (53.4%)Imbalance
발견일시 has 317 (99.7%) missing valuesMissing
접수일시 has 317 (99.7%) missing valuesMissing
이첩 방생 위치 has 219 (68.9%) missing valuesMissing
방생위도 has 221 (69.5%) missing valuesMissing
방생경도 has 221 (69.5%) missing valuesMissing
발견장소상세 has 80 (25.2%) missing valuesMissing
방생위도(TM방생위도) has 220 (69.2%) missing valuesMissing
방생경도(TM방생경도) has 220 (69.2%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 9 (2.8%) zerosZeros
등록체중 has 100 (31.4%) zerosZeros
현재체중 has 99 (31.1%) zerosZeros

Reproduction

Analysis started2024-01-09 21:24:42.400540
Analysis finished2024-01-09 21:24:43.170439
Duration0.77 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct318
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T06:24:43.370696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters2862
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

Unique318 ?
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%
2021-1029 1
 
0.3%
2021-1504 1
 
0.3%
2021-1352 1
 
0.3%
2021-1329 1
 
0.3%
2021-1224 1
 
0.3%
2021-1192 1
 
0.3%
2021-1171 1
 
0.3%
2021-1623 1
 
0.3%
2021-1021 1
 
0.3%
Other values (308) 308
96.9%
2024-01-10T06:24:43.717750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 699
24.4%
2 661
23.1%
1 473
16.5%
- 318
11.1%
9 193
 
6.7%
6 94
 
3.3%
5 92
 
3.2%
3 91
 
3.2%
4 83
 
2.9%
7 83
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2544
88.9%
Dash Punctuation 318
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 699
27.5%
2 661
26.0%
1 473
18.6%
9 193
 
7.6%
6 94
 
3.7%
5 92
 
3.6%
3 91
 
3.6%
4 83
 
3.3%
7 83
 
3.3%
8 75
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2862
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 699
24.4%
2 661
23.1%
1 473
16.5%
- 318
11.1%
9 193
 
6.7%
6 94
 
3.3%
5 92
 
3.2%
3 91
 
3.2%
4 83
 
2.9%
7 83
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2862
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 699
24.4%
2 661
23.1%
1 473
16.5%
- 318
11.1%
9 193
 
6.7%
6 94
 
3.3%
5 92
 
3.2%
3 91
 
3.2%
4 83
 
2.9%
7 83
 
2.9%

동물국문명
Categorical

Distinct47
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
고라니
87 
너구리
37 
괭이갈매기
31 
독수리
15 
멧비둘기
14 
Other values (42)
134 

Length

Max length6
Median length3
Mean length3.3018868
Min length1

Unique

Unique22 ?
Unique (%)6.9%

Sample

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

Common Values

ValueCountFrequency (%)
고라니 87
27.4%
너구리 37
11.6%
괭이갈매기 31
 
9.7%
독수리 15
 
4.7%
멧비둘기 14
 
4.4%
왜가리 12
 
3.8%
참새 12
 
3.8%
박새 12
 
3.8%
소쩍새 10
 
3.1%
수리부엉이 7
 
2.2%
Other values (37) 81
25.5%

Length

2024-01-10T06:24:43.841191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 87
27.4%
너구리 37
11.6%
괭이갈매기 31
 
9.7%
독수리 15
 
4.7%
멧비둘기 14
 
4.4%
왜가리 12
 
3.8%
참새 12
 
3.8%
박새 12
 
3.8%
소쩍새 10
 
3.1%
수리부엉이 7
 
2.2%
Other values (37) 81
25.5%

강
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
조강(Aves)
186 
포유강(Mammalia)
131 
파충강(Reptilia)
 
1

Length

Max length13
Median length8
Mean length10.075472
Min length8

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row조강(Aves)
2nd row조강(Aves)
3rd row조강(Aves)
4th row조강(Aves)
5th row조강(Aves)

Common Values

ValueCountFrequency (%)
조강(Aves) 186
58.5%
포유강(Mammalia) 131
41.2%
파충강(Reptilia) 1
 
0.3%

Length

2024-01-10T06:24:43.933417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:44.011477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 186
58.5%
포유강(mammalia 131
41.2%
파충강(reptilia 1
 
0.3%

목
Categorical

Distinct16
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
소목
87 
참새목
44 
식육목
43 
도요목
33 
매목
32 
Other values (11)
79 

Length

Max length5
Median length4
Mean length2.7955975
Min length2

Unique

Unique5 ?
Unique (%)1.6%

Sample

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

Common Values

ValueCountFrequency (%)
소목 87
27.4%
참새목 44
13.8%
식육목 43
13.5%
도요목 33
 
10.4%
매목 32
 
10.1%
황새목 21
 
6.6%
올빼미목 20
 
6.3%
비둘기목 14
 
4.4%
기러기목 9
 
2.8%
사다새목 6
 
1.9%
Other values (6) 9
 
2.8%

Length

2024-01-10T06:24:44.098272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 87
27.4%
참새목 44
13.8%
식육목 43
13.5%
도요목 33
 
10.4%
매목 32
 
10.1%
황새목 21
 
6.6%
올빼미목 20
 
6.3%
비둘기목 14
 
4.4%
기러기목 9
 
2.8%
사다새목 6
 
1.9%
Other values (6) 9
 
2.8%

과
Categorical

Distinct30
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
사슴과
87 
개과
37 
갈매기과
31 
수리과
25 
왜가리과
21 
Other values (25)
117 

Length

Max length6
Median length5
Mean length3.254717
Min length2

Unique

Unique9 ?
Unique (%)2.8%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 87
27.4%
개과 37
11.6%
갈매기과 31
 
9.7%
수리과 25
 
7.9%
왜가리과 21
 
6.6%
올빼미과 20
 
6.3%
비둘기과 14
 
4.4%
박새과 12
 
3.8%
참새과 12
 
3.8%
오리과 9
 
2.8%
Other values (20) 50
15.7%

Length

2024-01-10T06:24:44.202097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 87
27.4%
개과 37
11.6%
갈매기과 31
 
9.7%
수리과 25
 
7.9%
왜가리과 21
 
6.6%
올빼미과 20
 
6.3%
비둘기과 14
 
4.4%
박새과 12
 
3.8%
참새과 12
 
3.8%
오리과 9
 
2.8%
Other values (20) 50
15.7%

천연기념물
Categorical

IMBALANCE 

Distinct10
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
해당없음
265 
243-1
 
15
324-6
 
10
324-2
 
7
323-8
 
6
Other values (5)
 
15

Length

Max length5
Median length4
Mean length4.1477987
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 265
83.3%
243-1 15
 
4.7%
324-6 10
 
3.1%
324-2 7
 
2.2%
323-8 6
 
1.9%
323-1 5
 
1.6%
323-4 4
 
1.3%
330 3
 
0.9%
324-3 2
 
0.6%
324-7 1
 
0.3%

Length

2024-01-10T06:24:44.312248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:44.412626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 265
83.3%
243-1 15
 
4.7%
324-6 10
 
3.1%
324-2 7
 
2.2%
323-8 6
 
1.9%
323-1 5
 
1.6%
323-4 4
 
1.3%
330 3
 
0.9%
324-3 2
 
0.6%
324-7 1
 
0.3%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
해당없음
275 
2 급
40 
1 급
 
3

Length

Max length4
Median length4
Mean length3.8647799
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 275
86.5%
2 급 40
 
12.6%
1 급 3
 
0.9%

Length

2024-01-10T06:24:44.508793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:44.584202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 275
76.2%
급 43
 
11.9%
2 40
 
11.1%
1 3
 
0.8%

야생동물보호협약
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
해당없음
260 
부속서 2종
55 
부속서 1종
 
3

Length

Max length6
Median length4
Mean length4.3647799
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 260
81.8%
부속서 2종 55
 
17.3%
부속서 1종 3
 
0.9%

Length

2024-01-10T06:24:44.669884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:44.754410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 260
69.1%
부속서 58
 
15.4%
2종 55
 
14.6%
1종 3
 
0.8%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing317
Missing (%)99.7%
Memory size2.6 KiB
Minimum2019-03-17 00:00:00
Maximum2019-03-17 00:00:00
2024-01-10T06:24:44.823397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:24:44.890934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing317
Missing (%)99.7%
Memory size2.6 KiB
Minimum2019-03-17 00:00:00
Maximum2019-03-17 00:00:00
2024-01-10T06:24:44.959285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:24:45.026830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct239
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2019-01-04 00:00:00
Maximum2021-12-29 00:00:00
2024-01-10T06:24:45.115122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:24:45.217196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct231
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Minimum2019-01-07 00:00:00
Maximum2022-03-25 00:00:00
2024-01-10T06:24:45.319219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:24:45.421486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
폐사체
106 
방생
98 
안락사
59 
DOA
30 
폐사
24 

Length

Max length3
Median length3
Mean length2.6132075
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
폐사체 106
33.3%
방생 98
30.8%
안락사 59
18.6%
DOA 30
 
9.4%
폐사 24
 
7.5%
이첩 1
 
0.3%

Length

2024-01-10T06:24:45.512711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:45.593959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐사체 106
33.3%
방생 98
30.8%
안락사 59
18.6%
doa 30
 
9.4%
폐사 24
 
7.5%
이첩 1
 
0.3%

이첩 방생 위치
Text

MISSING 

Distinct80
Distinct (%)80.8%
Missing219
Missing (%)68.9%
Memory size2.6 KiB
2024-01-10T06:24:45.873677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length21.434343
Min length8

Characters and Unicode

Total characters2122
Distinct characters137
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

Unique73 ?
Unique (%)73.7%

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 96
 
18.6%
태안군 40
 
7.8%
산 29
 
5.6%
서산시 22
 
4.3%
부석면 19
 
3.7%
예산군 19
 
3.7%
안면읍 17
 
3.3%
창리 12
 
2.3%
창기리 10
 
1.9%
363 9
 
1.7%
Other values (172) 242
47.0%
2024-01-10T06:24:46.338786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
430
20.3%
남 111
 
5.2%
도 98
 
4.6%
충 96
 
4.5%
청 96
 
4.5%
산 92
 
4.3%
리 91
 
4.3%
면 83
 
3.9%
1 79
 
3.7%
3 65
 
3.1%
Other values (127) 881
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1290
60.8%
Space Separator 430
 
20.3%
Decimal Number 345
 
16.3%
Dash Punctuation 57
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 111
 
8.6%
도 98
 
7.6%
충 96
 
7.4%
청 96
 
7.4%
산 92
 
7.1%
리 91
 
7.1%
면 83
 
6.4%
군 64
 
5.0%
안 61
 
4.7%
태 43
 
3.3%
Other values (115) 455
35.3%
Decimal Number
ValueCountFrequency (%)
1 79
22.9%
3 65
18.8%
6 38
11.0%
2 37
10.7%
5 37
10.7%
4 21
 
6.1%
9 21
 
6.1%
7 20
 
5.8%
8 16
 
4.6%
0 11
 
3.2%
Space Separator
ValueCountFrequency (%)
430
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1290
60.8%
Common 832
39.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 111
 
8.6%
도 98
 
7.6%
충 96
 
7.4%
청 96
 
7.4%
산 92
 
7.1%
리 91
 
7.1%
면 83
 
6.4%
군 64
 
5.0%
안 61
 
4.7%
태 43
 
3.3%
Other values (115) 455
35.3%
Common
ValueCountFrequency (%)
430
51.7%
1 79
 
9.5%
3 65
 
7.8%
- 57
 
6.9%
6 38
 
4.6%
2 37
 
4.4%
5 37
 
4.4%
4 21
 
2.5%
9 21
 
2.5%
7 20
 
2.4%
Other values (2) 27
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1290
60.8%
ASCII 832
39.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
430
51.7%
1 79
 
9.5%
3 65
 
7.8%
- 57
 
6.9%
6 38
 
4.6%
2 37
 
4.4%
5 37
 
4.4%
4 21
 
2.5%
9 21
 
2.5%
7 20
 
2.4%
Other values (2) 27
 
3.2%
Hangul
ValueCountFrequency (%)
남 111
 
8.6%
도 98
 
7.6%
충 96
 
7.4%
청 96
 
7.4%
산 92
 
7.1%
리 91
 
7.1%
면 83
 
6.4%
군 64
 
5.0%
안 61
 
4.7%
태 43
 
3.3%
Other values (115) 455
35.3%

사체처리
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
기타
218 
<NA>
99 
부검
 
1

Length

Max length4
Median length2
Mean length2.6226415
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
기타 218
68.6%
<NA> 99
31.1%
부검 1
 
0.3%

Length

2024-01-10T06:24:46.455546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:46.538291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 218
68.6%
na 99
31.1%
부검 1
 
0.3%

동물성별
Categorical

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
Unknown
221 
Male
55 
Female
38 
Male(?)
 
2
Female(?)
 
2

Length

Max length9
Median length7
Mean length6.3742138
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 221
69.5%
Male 55
 
17.3%
Female 38
 
11.9%
Male(?) 2
 
0.6%
Female(?) 2
 
0.6%

Length

2024-01-10T06:24:46.617580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:46.697480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 221
69.5%
male 57
 
17.9%
female 40
 
12.6%

동물연령
Categorical

Distinct28
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
0년0월0일
84 
Unknown
66 
Adult
54 
Juvenile
39 
Nestling
27 
Other values (23)
48 

Length

Max length8
Median length7
Mean length6.4654088
Min length5

Unique

Unique12 ?
Unique (%)3.8%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 84
26.4%
Unknown 66
20.8%
Adult 54
17.0%
Juvenile 39
12.3%
Nestling 27
 
8.5%
0년3월0일 7
 
2.2%
0년6월0일 6
 
1.9%
0년7월0일 5
 
1.6%
0년8월0일 3
 
0.9%
1년0월0일 3
 
0.9%
Other values (18) 24
 
7.5%

Length

2024-01-10T06:24:46.789850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 84
26.4%
unknown 66
20.8%
adult 54
17.0%
juvenile 39
12.3%
nestling 27
 
8.5%
0년3월0일 7
 
2.2%
0년6월0일 6
 
1.9%
0년7월0일 5
 
1.6%
0년8월0일 3
 
0.9%
1년0월0일 3
 
0.9%
Other values (18) 24
 
7.5%

구조위도
Real number (ℝ)

Distinct253
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.542855
Minimum0
Maximum36.948472
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:46.890354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36.407729
Q136.52125
median36.687167
Q336.758111
95-th percentile36.876718
Maximum36.948472
Range36.948472
Interquartile range (IQR)0.23686075

Descriptive statistics

Standard deviation2.0613463
Coefficient of variation (CV)0.056409011
Kurtosis314.48867
Mean36.542855
Median Absolute Deviation (MAD)0.101361
Skewness-17.685634
Sum11620.628
Variance4.2491486
MonotonicityNot monotonic
2024-01-10T06:24:46.998111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.752583 9
 
2.8%
36.514417 9
 
2.8%
36.758111 7
 
2.2%
36.407611 7
 
2.2%
36.696417 6
 
1.9%
36.757556 5
 
1.6%
36.585806 5
 
1.6%
36.68675 4
 
1.3%
36.486611 3
 
0.9%
36.458639 3
 
0.9%
Other values (243) 260
81.8%
ValueCountFrequency (%)
0.0 1
 
0.3%
35.589972 1
 
0.3%
36.399667 2
 
0.6%
36.400833 1
 
0.3%
36.401639 1
 
0.3%
36.403972 1
 
0.3%
36.404028 1
 
0.3%
36.407556 1
 
0.3%
36.407611 7
2.2%
36.40775 1
 
0.3%
ValueCountFrequency (%)
36.948472 1
0.3%
36.935806 1
0.3%
36.934972 1
0.3%
36.919167 1
0.3%
36.89977800000001 1
0.3%
36.898944 1
0.3%
36.897167 1
0.3%
36.896389 1
0.3%
36.894806 2
0.6%
36.891778 1
0.3%

구조경도
Real number (ℝ)

Distinct253
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean125.89867
Minimum0
Maximum126.64514
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:47.108809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile126.15246
Q1126.2611
median126.3046
Q3126.34265
95-th percentile126.41917
Maximum126.64514
Range126.64514
Interquartile range (IQR)0.08154175

Descriptive statistics

Standard deviation7.0827164
Coefficient of variation (CV)0.056257279
Kurtosis317.92778
Mean125.89867
Median Absolute Deviation (MAD)0.040459
Skewness-17.829527
Sum40035.776
Variance50.164872
MonotonicityNot monotonic
2024-01-10T06:24:47.428030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.352917 9
 
2.8%
126.345056 9
 
2.8%
126.171 7
 
2.2%
126.419167 7
 
2.2%
126.296333 6
 
1.9%
126.322556 6
 
1.9%
126.317222 5
 
1.6%
126.297583 4
 
1.3%
126.335028 3
 
0.9%
126.38325 3
 
0.9%
Other values (243) 259
81.4%
ValueCountFrequency (%)
0.0 1
0.3%
126.125083 1
0.3%
126.1335 1
0.3%
126.136306 1
0.3%
126.140972 1
0.3%
126.141056 1
0.3%
126.141278 2
0.6%
126.142056 1
0.3%
126.142139 1
0.3%
126.142917 1
0.3%
ValueCountFrequency (%)
126.645139 1
0.3%
126.427833 1
0.3%
126.427306 1
0.3%
126.426 1
0.3%
126.425944 1
0.3%
126.422556 1
0.3%
126.422333 1
0.3%
126.422194 1
0.3%
126.422139 1
0.3%
126.419361 1
0.3%

구조고도
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.694969
Minimum0
Maximum82
Zeros9
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:47.548675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16.25
median13
Q325
95-th percentile39.15
Maximum82
Range82
Interquartile range (IQR)18.75

Descriptive statistics

Standard deviation13.428325
Coefficient of variation (CV)0.80433365
Kurtosis1.6505484
Mean16.694969
Median Absolute Deviation (MAD)8
Skewness1.1749654
Sum5309
Variance180.31991
MonotonicityNot monotonic
2024-01-10T06:24:47.654568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 22
 
6.9%
3 16
 
5.0%
5 14
 
4.4%
7 13
 
4.1%
37 13
 
4.1%
10 13
 
4.1%
4 13
 
4.1%
6 12
 
3.8%
1 12
 
3.8%
12 12
 
3.8%
Other values (41) 178
56.0%
ValueCountFrequency (%)
0 9
2.8%
1 12
3.8%
2 4
 
1.3%
3 16
5.0%
4 13
4.1%
5 14
4.4%
6 12
3.8%
7 13
4.1%
8 22
6.9%
9 8
 
2.5%
ValueCountFrequency (%)
82 1
0.3%
64 1
0.3%
60 1
0.3%
53 2
0.6%
52 1
0.3%
51 1
0.3%
50 1
0.3%
49 1
0.3%
45 1
0.3%
44 1
0.3%

방생위도
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)80.4%
Missing221
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean36.624135
Minimum36.021526
Maximum36.945929
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:47.763658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.021526
5-th percentile36.417335
Q136.585386
median36.632661
Q336.69029
95-th percentile36.791128
Maximum36.945929
Range0.92440355
Interquartile range (IQR)0.10490381

Descriptive statistics

Standard deviation0.12435654
Coefficient of variation (CV)0.0033954806
Kurtosis5.3448158
Mean36.624135
Median Absolute Deviation (MAD)0.05762889
Skewness-1.2894873
Sum3552.5411
Variance0.015464549
MonotonicityNot monotonic
2024-01-10T06:24:47.874801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.63000923 9
 
2.8%
36.58538642 5
 
1.6%
36.66606467 4
 
1.3%
36.73269995 2
 
0.6%
36.65608307 2
 
0.6%
36.53362706 2
 
0.6%
36.63266134 2
 
0.6%
36.57180388 1
 
0.3%
36.56344792 1
 
0.3%
36.78792587 1
 
0.3%
Other values (68) 68
 
21.4%
(Missing) 221
69.5%
ValueCountFrequency (%)
36.02152591 1
0.3%
36.32660454 1
0.3%
36.36345959 1
0.3%
36.36513737 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%
ValueCountFrequency (%)
36.94592946 1
0.3%
36.88732559 1
0.3%
36.84064795 1
0.3%
36.80406176 1
0.3%
36.80393827 1
0.3%
36.78792587 1
0.3%
36.76561266 1
0.3%
36.76549489999999 1
0.3%
36.76438902 1
0.3%
36.75025737 1
0.3%

방생경도
Real number (ℝ)

MISSING 

Distinct78
Distinct (%)80.4%
Missing221
Missing (%)69.5%
Infinite0
Infinite (%)0.0%
Mean126.52906
Minimum126.15617
Maximum127.30276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:47.992049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.15617
5-th percentile126.22606
Q1126.32324
median126.38266
Q3126.82304
95-th percentile126.96593
Maximum127.30276
Range1.1465869
Interquartile range (IQR)0.4998064

Descriptive statistics

Standard deviation0.28365859
Coefficient of variation (CV)0.0022418453
Kurtosis-0.38669239
Mean126.52906
Median Absolute Deviation (MAD)0.0826864
Skewness0.89760536
Sum12273.319
Variance0.080462194
MonotonicityNot monotonic
2024-01-10T06:24:48.105069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.3826569 9
 
2.8%
126.3171293 5
 
1.6%
126.8663143 4
 
1.3%
126.9658272 2
 
0.6%
126.4395171 2
 
0.6%
126.9410072 2
 
0.6%
126.3797623 2
 
0.6%
126.31829170000002 1
 
0.3%
126.3373968 1
 
0.3%
126.80786270000002 1
 
0.3%
Other values (68) 68
 
21.4%
(Missing) 221
69.5%
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%
126.25397859999998 1
0.3%
126.2807949 1
0.3%
126.2825229 1
0.3%
126.2838603 1
0.3%
ValueCountFrequency (%)
127.3027559 1
0.3%
127.2595397 1
0.3%
127.2470767 1
0.3%
127.0264673 1
0.3%
126.9663512 1
0.3%
126.9658272 2
0.6%
126.9654902 1
0.3%
126.9638693 1
0.3%
126.9513378 1
0.3%
126.9410072 2
0.6%

발견장소상세
Text

MISSING 

Distinct181
Distinct (%)76.1%
Missing80
Missing (%)25.2%
Memory size2.6 KiB
2024-01-10T06:24:48.365547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length8.4747899
Min length1

Characters and Unicode

Total characters2017
Distinct characters230
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

Unique164 ?
Unique (%)68.9%

Sample

1st row공사장 주변 도로
2nd row꽃지해수욕장
3rd row꽃지해수욕장 주차장
4th row의항해수욕장
5th row주소지 부근 건물 옆
ValueCountFrequency (%)
부근 57
 
10.0%
주소지 42
 
7.4%
도로변 27
 
4.8%
농경지 24
 
4.2%
앞 16
 
2.8%
도로 13
 
2.3%
펜션 11
 
1.9%
건물 11
 
1.9%
주변 11
 
1.9%
해수욕장 10
 
1.8%
Other values (212) 346
60.9%
2024-01-10T06:24:48.710224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
342
 
17.0%
지 77
 
3.8%
부 74
 
3.7%
근 73
 
3.6%
주 70
 
3.5%
로 65
 
3.2%
소 57
 
2.8%
장 51
 
2.5%
도 47
 
2.3%
변 47
 
2.3%
Other values (220) 1114
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1544
76.5%
Space Separator 342
 
17.0%
Decimal Number 75
 
3.7%
Open Punctuation 20
 
1.0%
Close Punctuation 20
 
1.0%
Dash Punctuation 9
 
0.4%
Other Punctuation 5
 
0.2%
Lowercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 77
 
5.0%
부 74
 
4.8%
근 73
 
4.7%
주 70
 
4.5%
로 65
 
4.2%
소 57
 
3.7%
장 51
 
3.3%
도 47
 
3.0%
변 47
 
3.0%
해 43
 
2.8%
Other values (203) 940
60.9%
Decimal Number
ValueCountFrequency (%)
1 17
22.7%
2 12
16.0%
3 11
14.7%
4 8
10.7%
0 8
10.7%
5 6
 
8.0%
7 4
 
5.3%
9 4
 
5.3%
6 3
 
4.0%
8 2
 
2.7%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
& 1
 
20.0%
Space Separator
ValueCountFrequency (%)
342
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1544
76.5%
Common 471
 
23.4%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 77
 
5.0%
부 74
 
4.8%
근 73
 
4.7%
주 70
 
4.5%
로 65
 
4.2%
소 57
 
3.7%
장 51
 
3.3%
도 47
 
3.0%
변 47
 
3.0%
해 43
 
2.8%
Other values (203) 940
60.9%
Common
ValueCountFrequency (%)
342
72.6%
( 20
 
4.2%
) 20
 
4.2%
1 17
 
3.6%
2 12
 
2.5%
3 11
 
2.3%
- 9
 
1.9%
4 8
 
1.7%
0 8
 
1.7%
5 6
 
1.3%
Other values (6) 18
 
3.8%
Latin
ValueCountFrequency (%)
c 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1544
76.5%
ASCII 473
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
342
72.3%
( 20
 
4.2%
) 20
 
4.2%
1 17
 
3.6%
2 12
 
2.5%
3 11
 
2.3%
- 9
 
1.9%
4 8
 
1.7%
0 8
 
1.7%
5 6
 
1.3%
Other values (7) 20
 
4.2%
Hangul
ValueCountFrequency (%)
지 77
 
5.0%
부 74
 
4.8%
근 73
 
4.7%
주 70
 
4.5%
로 65
 
4.2%
소 57
 
3.7%
장 51
 
3.3%
도 47
 
3.0%
변 47
 
3.0%
해 43
 
2.8%
Other values (203) 940
60.9%

발견주소
Text

Distinct263
Distinct (%)82.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T06:24:48.880160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length21.738994
Min length8

Characters and Unicode

Total characters6913
Distinct characters108
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

Unique241 ?
Unique (%)75.8%

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 (%)
충청남도 318
20.0%
태안군 318
20.0%
안면읍 82
 
5.2%
태안읍 60
 
3.8%
남면 47
 
3.0%
승언리 35
 
2.2%
소원면 35
 
2.2%
고남면 30
 
1.9%
원북면 28
 
1.8%
근흥면 23
 
1.4%
Other values (331) 614
38.6%
2024-01-10T06:24:49.158195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1289
18.6%
안 465
 
6.7%
남 427
 
6.2%
태 378
 
5.5%
청 326
 
4.7%
도 325
 
4.7%
충 318
 
4.6%
군 318
 
4.6%
리 291
 
4.2%
1 272
 
3.9%
Other values (98) 2504
36.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4098
59.3%
Decimal Number 1297
 
18.8%
Space Separator 1289
 
18.6%
Dash Punctuation 229
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 465
11.3%
남 427
10.4%
태 378
9.2%
청 326
 
8.0%
도 325
 
7.9%
충 318
 
7.8%
군 318
 
7.8%
리 291
 
7.1%
면 257
 
6.3%
읍 142
 
3.5%
Other values (86) 851
20.8%
Decimal Number
ValueCountFrequency (%)
1 272
21.0%
2 178
13.7%
3 159
12.3%
9 128
9.9%
5 117
9.0%
4 117
9.0%
6 112
8.6%
0 76
 
5.9%
8 74
 
5.7%
7 64
 
4.9%
Space Separator
ValueCountFrequency (%)
1289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 229
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4098
59.3%
Common 2815
40.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 465
11.3%
남 427
10.4%
태 378
9.2%
청 326
 
8.0%
도 325
 
7.9%
충 318
 
7.8%
군 318
 
7.8%
리 291
 
7.1%
면 257
 
6.3%
읍 142
 
3.5%
Other values (86) 851
20.8%
Common
ValueCountFrequency (%)
1289
45.8%
1 272
 
9.7%
- 229
 
8.1%
2 178
 
6.3%
3 159
 
5.6%
9 128
 
4.5%
5 117
 
4.2%
4 117
 
4.2%
6 112
 
4.0%
0 76
 
2.7%
Other values (2) 138
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4098
59.3%
ASCII 2815
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1289
45.8%
1 272
 
9.7%
- 229
 
8.1%
2 178
 
6.3%
3 159
 
5.6%
9 128
 
4.5%
5 117
 
4.2%
4 117
 
4.2%
6 112
 
4.0%
0 76
 
2.7%
Other values (2) 138
 
4.9%
Hangul
ValueCountFrequency (%)
안 465
11.3%
남 427
10.4%
태 378
9.2%
청 326
 
8.0%
도 325
 
7.9%
충 318
 
7.8%
군 318
 
7.8%
리 291
 
7.1%
면 257
 
6.3%
읍 142
 
3.5%
Other values (86) 851
20.8%

발견장소특징
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
건물옆
100 
도로변
92 
농경지
56 
강, 바다
47 
기타
 
10
Other values (2)
13 

Length

Max length5
Median length3
Mean length3.1949686
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 100
31.4%
도로변 92
28.9%
농경지 56
17.6%
강, 바다 47
14.8%
기타 10
 
3.1%
숲 9
 
2.8%
전선 4
 
1.3%

Length

2024-01-10T06:24:49.267364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:24:49.367025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 100
27.4%
도로변 92
25.2%
농경지 56
15.3%
강 47
12.9%
바다 47
12.9%
기타 10
 
2.7%
숲 9
 
2.5%
전선 4
 
1.1%

발생원인
Categorical

Distinct18
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
차량과의 충돌
76 
전선/건물과의 충돌
67 
어미를 잃음(미아)
43 
기생충 중감염
25 
인공구조물에 얽힘
24 
Other values (13)
83 

Length

Max length11
Median length10
Mean length8.3490566
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
차량과의 충돌 76
23.9%
전선/건물과의 충돌 67
21.1%
어미를 잃음(미아) 43
13.5%
기생충 중감염 25
 
7.9%
인공구조물에 얽힘 24
 
7.5%
알 수 없는 사고 18
 
5.7%
기아 및 탈진 15
 
4.7%
인공구조물 침입·고립 12
 
3.8%
중독사고(농약) 12
 
3.8%
낚시 쓰레기 11
 
3.5%
Other values (8) 15
 
4.7%

Length

2024-01-10T06:24:49.466541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 143
21.3%
차량과의 76
11.3%
전선/건물과의 67
 
10.0%
어미를 43
 
6.4%
잃음(미아 43
 
6.4%
기생충 25
 
3.7%
중감염 25
 
3.7%
인공구조물에 24
 
3.6%
얽힘 24
 
3.6%
사고 21
 
3.1%
Other values (22) 179
26.7%

발생원인 세부사항
Text

Distinct127
Distinct (%)40.2%
Missing2
Missing (%)0.6%
Memory size2.6 KiB
2024-01-10T06:24:49.621486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length21
Mean length9.7310127
Min length2

Characters and Unicode

Total characters3075
Distinct characters191
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

Unique81 ?
Unique (%)25.6%

Sample

1st row차량충돌 추정
2nd row어미를 잃음(미아)
3rd row꽃지해수욕장 주차장에서 발견
4th row자연적으로 생긴 종양
5th row인공구조물과의 충돌 추정
ValueCountFrequency (%)
충돌 115
 
13.5%
추정 60
 
7.1%
차량과의 51
 
6.0%
얽힘 24
 
2.8%
사고 20
 
2.4%
알 19
 
2.2%
수 19
 
2.2%
없는 19
 
2.2%
차량충돌 18
 
2.1%
어미를 17
 
2.0%
Other values (174) 488
57.4%
2024-01-10T06:24:49.896106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
568
 
18.5%
충 190
 
6.2%
돌 150
 
4.9%
차 87
 
2.8%
량 82
 
2.7%
의 72
 
2.3%
과 72
 
2.3%
물 72
 
2.3%
추 69
 
2.2%
정 62
 
2.0%
Other values (181) 1651
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2391
77.8%
Space Separator 568
 
18.5%
Other Punctuation 68
 
2.2%
Open Punctuation 23
 
0.7%
Close Punctuation 23
 
0.7%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 190
 
7.9%
돌 150
 
6.3%
차 87
 
3.6%
량 82
 
3.4%
의 72
 
3.0%
과 72
 
3.0%
물 72
 
3.0%
추 69
 
2.9%
정 62
 
2.6%
선 59
 
2.5%
Other values (173) 1476
61.7%
Other Punctuation
ValueCountFrequency (%)
/ 59
86.8%
, 7
 
10.3%
? 1
 
1.5%
· 1
 
1.5%
Space Separator
ValueCountFrequency (%)
568
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Decimal Number
ValueCountFrequency (%)
2 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2391
77.8%
Common 684
 
22.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 190
 
7.9%
돌 150
 
6.3%
차 87
 
3.6%
량 82
 
3.4%
의 72
 
3.0%
과 72
 
3.0%
물 72
 
3.0%
추 69
 
2.9%
정 62
 
2.6%
선 59
 
2.5%
Other values (173) 1476
61.7%
Common
ValueCountFrequency (%)
568
83.0%
/ 59
 
8.6%
( 23
 
3.4%
) 23
 
3.4%
, 7
 
1.0%
2 2
 
0.3%
? 1
 
0.1%
· 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2391
77.8%
ASCII 683
 
22.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
568
83.2%
/ 59
 
8.6%
( 23
 
3.4%
) 23
 
3.4%
, 7
 
1.0%
2 2
 
0.3%
? 1
 
0.1%
Hangul
ValueCountFrequency (%)
충 190
 
7.9%
돌 150
 
6.3%
차 87
 
3.6%
량 82
 
3.4%
의 72
 
3.0%
과 72
 
3.0%
물 72
 
3.0%
추 69
 
2.9%
정 62
 
2.6%
선 59
 
2.5%
Other values (173) 1476
61.7%
None
ValueCountFrequency (%)
· 1
100.0%

구조위도(TM구조위도)
Text

Distinct253
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T06:24:50.184406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters3180
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

Unique227 ?
Unique (%)71.4%

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 (%)
36 321
33.6%
45 50
 
5.2%
30 25
 
2.6%
24 19
 
2.0%
41 19
 
2.0%
40 16
 
1.7%
44 14
 
1.5%
46 13
 
1.4%
34 12
 
1.3%
35 12
 
1.3%
Other values (222) 453
47.5%
2024-01-10T06:24:50.578700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
636
20.0%
3 520
16.4%
6 383
12.0%
. 318
10.0%
4 315
9.9%
0 193
 
6.1%
5 193
 
6.1%
2 190
 
6.0%
1 155
 
4.9%
9 115
 
3.6%
Other values (2) 162
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2226
70.0%
Space Separator 636
 
20.0%
Other Punctuation 318
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 520
23.4%
6 383
17.2%
4 315
14.2%
0 193
 
8.7%
5 193
 
8.7%
2 190
 
8.5%
1 155
 
7.0%
9 115
 
5.2%
7 89
 
4.0%
8 73
 
3.3%
Space Separator
ValueCountFrequency (%)
636
100.0%
Other Punctuation
ValueCountFrequency (%)
. 318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
636
20.0%
3 520
16.4%
6 383
12.0%
. 318
10.0%
4 315
9.9%
0 193
 
6.1%
5 193
 
6.1%
2 190
 
6.0%
1 155
 
4.9%
9 115
 
3.6%
Other values (2) 162
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
636
20.0%
3 520
16.4%
6 383
12.0%
. 318
10.0%
4 315
9.9%
0 193
 
6.1%
5 193
 
6.1%
2 190
 
6.0%
1 155
 
4.9%
9 115
 
3.6%
Other values (2) 162
 
5.1%

구조경도(TM구조경도)
Text

Distinct253
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2024-01-10T06:24:50.876095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3498
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

Unique229 ?
Unique (%)72.0%

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 (%)
126 317
33.2%
20 52
 
5.5%
17 52
 
5.5%
19 34
 
3.6%
18 24
 
2.5%
25 19
 
2.0%
21 18
 
1.9%
22 15
 
1.6%
16 14
 
1.5%
10 14
 
1.5%
Other values (225) 395
41.4%
2024-01-10T06:24:51.262729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 647
18.5%
636
18.2%
2 595
17.0%
6 398
11.4%
. 318
9.1%
0 242
 
6.9%
5 132
 
3.8%
9 121
 
3.5%
4 118
 
3.4%
7 112
 
3.2%
Other values (2) 179
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2544
72.7%
Space Separator 636
 
18.2%
Other Punctuation 318
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 647
25.4%
2 595
23.4%
6 398
15.6%
0 242
 
9.5%
5 132
 
5.2%
9 121
 
4.8%
4 118
 
4.6%
7 112
 
4.4%
3 99
 
3.9%
8 80
 
3.1%
Space Separator
ValueCountFrequency (%)
636
100.0%
Other Punctuation
ValueCountFrequency (%)
. 318
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 647
18.5%
636
18.2%
2 595
17.0%
6 398
11.4%
. 318
9.1%
0 242
 
6.9%
5 132
 
3.8%
9 121
 
3.5%
4 118
 
3.4%
7 112
 
3.2%
Other values (2) 179
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 647
18.5%
636
18.2%
2 595
17.0%
6 398
11.4%
. 318
9.1%
0 242
 
6.9%
5 132
 
3.8%
9 121
 
3.5%
4 118
 
3.4%
7 112
 
3.2%
Other values (2) 179
 
5.1%

방생위도(TM방생위도)
Text

MISSING 

Distinct86
Distinct (%)87.8%
Missing220
Missing (%)69.2%
Memory size2.6 KiB
2024-01-10T06:24:51.473941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters980
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

Unique79 ?
Unique (%)80.6%

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 (%)
36 102
34.7%
37 13
 
4.4%
41 9
 
3.1%
39 8
 
2.7%
40 7
 
2.4%
57.7 7
 
2.4%
35 7
 
2.4%
38 6
 
2.0%
34 5
 
1.7%
07.4 5
 
1.7%
Other values (99) 125
42.5%
2024-01-10T06:24:51.781907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
20.0%
3 175
17.9%
6 120
12.2%
. 98
10.0%
4 86
8.8%
5 65
 
6.6%
1 52
 
5.3%
7 51
 
5.2%
0 45
 
4.6%
2 32
 
3.3%
Other values (2) 60
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 686
70.0%
Space Separator 196
 
20.0%
Other Punctuation 98
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 175
25.5%
6 120
17.5%
4 86
12.5%
5 65
 
9.5%
1 52
 
7.6%
7 51
 
7.4%
0 45
 
6.6%
2 32
 
4.7%
8 31
 
4.5%
9 29
 
4.2%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
. 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 980
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
196
20.0%
3 175
17.9%
6 120
12.2%
. 98
10.0%
4 86
8.8%
5 65
 
6.6%
1 52
 
5.3%
7 51
 
5.2%
0 45
 
4.6%
2 32
 
3.3%
Other values (2) 60
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 980
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
20.0%
3 175
17.9%
6 120
12.2%
. 98
10.0%
4 86
8.8%
5 65
 
6.6%
1 52
 
5.3%
7 51
 
5.2%
0 45
 
4.6%
2 32
 
3.3%
Other values (2) 60
 
6.1%

방생경도(TM방생경도)
Text

MISSING 

Distinct82
Distinct (%)83.7%
Missing220
Missing (%)69.2%
Memory size2.6 KiB
2024-01-10T06:24:51.986531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1078
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

Unique72 ?
Unique (%)73.5%

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 93
31.6%
22 17
 
5.8%
19 11
 
3.7%
20 8
 
2.7%
57 6
 
2.0%
17 5
 
1.7%
02.0 5
 
1.7%
51 5
 
1.7%
23 5
 
1.7%
49 4
 
1.4%
Other values (100) 135
45.9%
2024-01-10T06:24:52.284499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
196
18.2%
2 190
17.6%
1 159
14.7%
6 121
11.2%
. 98
9.1%
5 70
 
6.5%
0 59
 
5.5%
9 39
 
3.6%
8 38
 
3.5%
4 37
 
3.4%
Other values (2) 71
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 784
72.7%
Space Separator 196
 
18.2%
Other Punctuation 98
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 190
24.2%
1 159
20.3%
6 121
15.4%
5 70
 
8.9%
0 59
 
7.5%
9 39
 
5.0%
8 38
 
4.8%
4 37
 
4.7%
3 36
 
4.6%
7 35
 
4.5%
Space Separator
ValueCountFrequency (%)
196
100.0%
Other Punctuation
ValueCountFrequency (%)
. 98
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1078
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
196
18.2%
2 190
17.6%
1 159
14.7%
6 121
11.2%
. 98
9.1%
5 70
 
6.5%
0 59
 
5.5%
9 39
 
3.6%
8 38
 
3.5%
4 37
 
3.4%
Other values (2) 71
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1078
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
196
18.2%
2 190
17.6%
1 159
14.7%
6 121
11.2%
. 98
9.1%
5 70
 
6.5%
0 59
 
5.5%
9 39
 
3.6%
8 38
 
3.5%
4 37
 
3.4%
Other values (2) 71
 
6.6%

등록체중
Real number (ℝ)

ZEROS 

Distinct185
Distinct (%)58.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2693.2956
Minimum0
Maximum17040
Zeros100
Zeros (%)31.4%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:52.401057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median154
Q32558
95-th percentile14881
Maximum17040
Range17040
Interquartile range (IQR)2558

Descriptive statistics

Standard deviation4911.1537
Coefficient of variation (CV)1.8234737
Kurtosis1.7960175
Mean2693.2956
Median Absolute Deviation (MAD)154
Skewness1.8142711
Sum856468
Variance24119431
MonotonicityNot monotonic
2024-01-10T06:24:52.509668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 100
31.4%
10 9
 
2.8%
13 5
 
1.6%
18 4
 
1.3%
20 3
 
0.9%
21 3
 
0.9%
840 2
 
0.6%
338 2
 
0.6%
66 2
 
0.6%
7 2
 
0.6%
Other values (175) 186
58.5%
ValueCountFrequency (%)
0 100
31.4%
7 2
 
0.6%
9 1
 
0.3%
10 9
 
2.8%
11 2
 
0.6%
13 5
 
1.6%
16 1
 
0.3%
17 1
 
0.3%
18 4
 
1.3%
19 1
 
0.3%
ValueCountFrequency (%)
17040 1
0.3%
17000 1
0.3%
16920 1
0.3%
16640 1
0.3%
16500 1
0.3%
16460 1
0.3%
15860 1
0.3%
15660 1
0.3%
15640 1
0.3%
15570 1
0.3%

현재체중
Real number (ℝ)

ZEROS 

Distinct183
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.6101
Minimum0
Maximum17040
Zeros99
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2024-01-10T06:24:52.641869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median176
Q33035
95-th percentile14843
Maximum17040
Range17040
Interquartile range (IQR)3035

Descriptive statistics

Standard deviation4884.3942
Coefficient of variation (CV)1.7610241
Kurtosis1.6754766
Mean2773.6101
Median Absolute Deviation (MAD)176
Skewness1.7681093
Sum882008
Variance23857306
MonotonicityNot monotonic
2024-01-10T06:24:52.785110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 99
31.1%
7 5
 
1.6%
18 4
 
1.3%
10 4
 
1.3%
20 3
 
0.9%
13 3
 
0.9%
21 3
 
0.9%
146 2
 
0.6%
8320 2
 
0.6%
56 2
 
0.6%
Other values (173) 191
60.1%
ValueCountFrequency (%)
0 99
31.1%
6 1
 
0.3%
7 5
 
1.6%
8 1
 
0.3%
9 1
 
0.3%
10 4
 
1.3%
13 3
 
0.9%
14 2
 
0.6%
16 1
 
0.3%
17 2
 
0.6%
ValueCountFrequency (%)
17040 1
0.3%
17000 1
0.3%
16920 1
0.3%
16500 1
0.3%
16460 1
0.3%
15860 1
0.3%
15660 1
0.3%
15640 1
0.3%
15570 1
0.3%
15510 1
0.3%

임상적최종진단
Text

Distinct219
Distinct (%)69.3%
Missing2
Missing (%)0.6%
Memory size2.6 KiB
2024-01-10T06:24:53.055880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length31
Mean length12.762658
Min length2

Characters and Unicode

Total characters4033
Distinct characters279
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

Unique193 ?
Unique (%)61.1%

Sample

1st row차량충돌 추정
2nd row미아
3rd row미아
4th row흑색종(melanoma)
5th row우측 상완골 개방골절 및 골절부 이하 피부 괴사
ValueCountFrequency (%)
의한 66
 
5.6%
및 63
 
5.3%
골절 38
 
3.2%
충돌에 36
 
3.0%
좌측 32
 
2.7%
미아 30
 
2.5%
개체 30
 
2.5%
우측 28
 
2.4%
개방골절 25
 
2.1%
개선충 23
 
1.9%
Other values (343) 812
68.6%
2024-01-10T06:24:53.408192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
870
 
21.6%
골 138
 
3.4%
한 115
 
2.9%
개 103
 
2.6%
충 101
 
2.5%
절 96
 
2.4%
에 82
 
2.0%
돌 76
 
1.9%
의 74
 
1.8%
측 73
 
1.8%
Other values (269) 2305
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2907
72.1%
Space Separator 870
 
21.6%
Lowercase Letter 85
 
2.1%
Uppercase Letter 45
 
1.1%
Other Punctuation 38
 
0.9%
Open Punctuation 32
 
0.8%
Close Punctuation 32
 
0.8%
Decimal Number 22
 
0.5%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 138
 
4.7%
한 115
 
4.0%
개 103
 
3.5%
충 101
 
3.5%
절 96
 
3.3%
에 82
 
2.8%
돌 76
 
2.6%
의 74
 
2.5%
측 73
 
2.5%
상 72
 
2.5%
Other values (231) 1977
68.0%
Lowercase Letter
ValueCountFrequency (%)
a 15
17.6%
n 9
10.6%
e 8
9.4%
o 6
 
7.1%
l 6
 
7.1%
r 6
 
7.1%
m 5
 
5.9%
s 5
 
5.9%
t 5
 
5.9%
i 4
 
4.7%
Other values (9) 16
18.8%
Decimal Number
ValueCountFrequency (%)
4 6
27.3%
6 6
27.3%
5 5
22.7%
3 2
 
9.1%
2 2
 
9.1%
1 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
L 17
37.8%
C 9
20.0%
B 9
20.0%
H 9
20.0%
R 1
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 28
73.7%
/ 4
 
10.5%
. 4
 
10.5%
? 2
 
5.3%
Space Separator
ValueCountFrequency (%)
870
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2907
72.1%
Common 996
 
24.7%
Latin 130
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 138
 
4.7%
한 115
 
4.0%
개 103
 
3.5%
충 101
 
3.5%
절 96
 
3.3%
에 82
 
2.8%
돌 76
 
2.6%
의 74
 
2.5%
측 73
 
2.5%
상 72
 
2.5%
Other values (231) 1977
68.0%
Latin
ValueCountFrequency (%)
L 17
13.1%
a 15
11.5%
n 9
 
6.9%
C 9
 
6.9%
B 9
 
6.9%
H 9
 
6.9%
e 8
 
6.2%
o 6
 
4.6%
l 6
 
4.6%
r 6
 
4.6%
Other values (14) 36
27.7%
Common
ValueCountFrequency (%)
870
87.3%
( 32
 
3.2%
) 32
 
3.2%
, 28
 
2.8%
4 6
 
0.6%
6 6
 
0.6%
5 5
 
0.5%
/ 4
 
0.4%
. 4
 
0.4%
? 2
 
0.2%
Other values (4) 7
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2907
72.1%
ASCII 1126
 
27.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
870
77.3%
( 32
 
2.8%
) 32
 
2.8%
, 28
 
2.5%
L 17
 
1.5%
a 15
 
1.3%
n 9
 
0.8%
C 9
 
0.8%
B 9
 
0.8%
H 9
 
0.8%
Other values (28) 96
 
8.5%
Hangul
ValueCountFrequency (%)
골 138
 
4.7%
한 115
 
4.0%
개 103
 
3.5%
충 101
 
3.5%
절 96
 
3.3%
에 82
 
2.8%
돌 76
 
2.6%
의 74
 
2.5%
측 73
 
2.5%
상 72
 
2.5%
Other values (231) 1977
68.0%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0150쇠기러기조강(Aves)기러기목오리과해당없음해당없음해당없음2019-03-172019-03-172019-03-172019-03-18폐사체<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)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-072019-06-08DOA<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)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-06-302019-07-01DOA<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)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-05-312019-06-16안락사<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)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-162019-07-16안락사<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)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-07-242019-07-31방생충청남도 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)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-08-172019-08-19DOA<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)도요목도요과해당없음해당없음해당없음<NA><NA>2019-05-022019-05-02폐사체<NA>기타UnknownAdult36.813222126.2749441<NA><NA><NA>충청남도 태안군 원북면 청산리 658도로변차량과의 충돌차량충돌 추정36 48 47.6126 16 29.8<NA><NA>00로드킬 개체
82019-0919황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2019-06-252019-07-01안락사<NA>기타FemaleJuvenile36.781583126.27341730<NA><NA><NA>충청남도 태안군 태안읍 삭선리 750-23건물옆전선/건물과의 충돌<NA>36 46 53.7126 16 24.3<NA><NA>200200좌측 상완골 원위부 진구성 개방골절
92019-0153멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-03-202019-03-20DOA<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
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
3082021-0541너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-05-062021-05-06폐사체<NA>기타Unknown0년0월0일36.801917126.30630623<NA><NA>가정집 뒷마당충청남도 태안군 태안읍 어은리 567농경지기생충 중감염기생충 중감염/개선충36 48 06.9126 18 22.7<NA><NA>00개선충 중감염
3092021-1177너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-06-252021-09-13방생충청남도 서산시 부석면 원적참새골길 61<NA>Male0년2월0일36.568333126.3271391236.638924126.379893블루나인리조트 내충청남도 태안군 안면읍 창기리 846-1건물옆어미를 잃음(미아)어미를 잃음(미아)36 34 06.0126 19 37.736 38 18.7126 22 47.43003460단순 미아
3102021-1665너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-09-172021-09-17폐사체<NA>기타Unknown0년0월0일36.418917126.36938914<NA><NA>농경지충청남도 태안군 고남면 큰장돌길 182-5농경지중독사고(농약)중독사고(농약)36 25 08.1126 22 09.8<NA><NA>35403540원인불명
3112021-1714너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-10-032022-03-25방생충청남도 서산시 부석면 마룡리 산 198<NA>Female0년5월0일36.486611126.383253636.639443126.383956주변 농경지충청남도 태안군 안면읍 중장리 510-1농경지덫덫/창애36 29 11.8126 22 59.736 38 18.6126 23 03.531404440창애에 의한 좌측 전지 요척골 개방골절
3122021-1732너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-10-092021-10-09폐사체<NA>기타Unknown0년0월0일36.779028126.16783335<NA><NA>농경지 주변 민가 처마 밑충청남도 태안군 소원면 송현리 222농경지기생충 중감염기생충 중감염/개선충36 46 44.5126 10 04.2<NA><NA>00개선충 중감염
3132021-1856너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-042021-11-04안락사<NA>기타Male0년0월0일36.747833126.214257<NA><NA>주소지 부근 가정집 마당충청남도 태안군 소원면 법산길 520-56건물옆기생충 중감염기생충 중감염/개선충 감염36 44 52.2126 12 51.3<NA><NA>30403040중증의 개선충 감염 및 승저증
3142021-1895너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-142022-02-22방생충청남도 서산시 부석면 마룡리 523-16<NA>Female0년0월0일36.49275126.33751336.638755126.391016펜션 마당 앞충청남도 태안군 안면읍 꽃지2길 35-15건물옆기생충 중감염기생충 중감염/개선충36 29 33.9126 20 15.036 38 15.7126 23 20.926844560개선충 중감염, 우측 후지 욕창
3152021-1919너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-182021-11-19DOA<NA>기타Male0년0월0일36.765167126.333529<NA><NA>주소지 부근 민가충청남도 태안군 태안읍 마당산길 121-5건물옆기생충 중감염기생충 중감염/개선충 중감염36 45 54.6126 20 00.6<NA><NA>29802980개선충 중감염
3162021-1998너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-052022-03-03방생충청남도 서산시 부석면 마룡리 544-1<NA>Male0년0월0일36.492917126.3381236.641768126.384242꽃지해송팬션충청남도 태안군 안면읍 꽃지 2길 35-9건물옆기생충 중감염기생충 중감염/개선충36 29 34.5126 20 16.836 38 29.2126 23 05.037405120개선충 중감염, 저체온증, 우측아킬레스건 손상
3172021-1056수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-06-162021-08-20이첩한국수달연구센터<NA>Female(?)0년0월0일36.733694126.22261125<NA><NA>마금리 이하 세부주소 알 수 없음충청남도 태안군 근흥면 마금리강, 바다어미를 잃음(미아)어미를 잃음(미아)36 44 01.3126 13 21.4<NA><NA>8691168단순 미아