Overview

Dataset statistics

Number of variables34
Number of observations47
Missing cells262
Missing cells (%)16.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory281.8 B

Variable types

Text10
Categorical13
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 계룡시 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=68&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109252

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (53.2%)Imbalance
멸종위기등급 is highly imbalanced (74.7%)Imbalance
발견일시 has 46 (97.9%) missing valuesMissing
접수일시 has 46 (97.9%) missing valuesMissing
이첩 방생 위치 has 33 (70.2%) missing valuesMissing
방생위도 has 33 (70.2%) missing valuesMissing
방생경도 has 33 (70.2%) missing valuesMissing
발견장소상세 has 4 (8.5%) missing valuesMissing
발생원인 세부사항 has 1 (2.1%) missing valuesMissing
방생위도(TM) has 33 (70.2%) missing valuesMissing
방생경도(TM) has 33 (70.2%) missing valuesMissing
접수번호 has unique valuesUnique
등록체중 has 2 (4.3%) zerosZeros
현재체중 has 1 (2.1%) zerosZeros

Reproduction

Analysis started2024-01-09 20:34:36.796833
Analysis finished2024-01-09 20:34:37.350030
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T05:34:37.479968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters423
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

Unique47 ?
Unique (%)100.0%

Sample

1st row2019-1450
2nd row2019-1121
3rd row2019-1216
4th row2019-1255
5th row2019-0376
ValueCountFrequency (%)
2019-1450 1
 
2.1%
2020-0565 1
 
2.1%
2020-1102 1
 
2.1%
2020-1289 1
 
2.1%
2020-1401 1
 
2.1%
2020-1515 1
 
2.1%
2020-1897 1
 
2.1%
2020-1586 1
 
2.1%
2020-1180 1
 
2.1%
2020-0076 1
 
2.1%
Other values (37) 37
78.7%
2024-01-10T05:34:37.784925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 102
24.1%
2 81
19.1%
1 73
17.3%
- 47
11.1%
9 27
 
6.4%
3 20
 
4.7%
5 19
 
4.5%
6 18
 
4.3%
4 16
 
3.8%
8 11
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 376
88.9%
Dash Punctuation 47
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
27.1%
2 81
21.5%
1 73
19.4%
9 27
 
7.2%
3 20
 
5.3%
5 19
 
5.1%
6 18
 
4.8%
4 16
 
4.3%
8 11
 
2.9%
7 9
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 102
24.1%
2 81
19.1%
1 73
17.3%
- 47
11.1%
9 27
 
6.4%
3 20
 
4.7%
5 19
 
4.5%
6 18
 
4.3%
4 16
 
3.8%
8 11
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 102
24.1%
2 81
19.1%
1 73
17.3%
- 47
11.1%
9 27
 
6.4%
3 20
 
4.7%
5 19
 
4.5%
6 18
 
4.3%
4 16
 
3.8%
8 11
 
2.6%

동물국문명
Categorical

Distinct19
Distinct (%)40.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
고라니
9 
참새
8 
너구리
4 
집비둘기
3 
솔부엉이
3 
Other values (14)
20 

Length

Max length6
Median length5
Mean length3.106383
Min length1

Unique

Unique10 ?
Unique (%)21.3%

Sample

1st row오색딱다구리
2nd row황조롱이
3rd row멧비둘기
4th row솔부엉이
5th row까치

Common Values

ValueCountFrequency (%)
고라니 9
19.1%
참새 8
17.0%
너구리 4
8.5%
집비둘기 3
 
6.4%
솔부엉이 3
 
6.4%
파랑새 3
 
6.4%
황조롱이 3
 
6.4%
물까치 2
 
4.3%
소쩍새 2
 
4.3%
수달 1
 
2.1%
Other values (9) 9
19.1%

Length

2024-01-10T05:34:37.925288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 9
19.1%
참새 8
17.0%
너구리 4
8.5%
집비둘기 3
 
6.4%
솔부엉이 3
 
6.4%
파랑새 3
 
6.4%
황조롱이 3
 
6.4%
물까치 2
 
4.3%
소쩍새 2
 
4.3%
흰뺨검둥오리 1
 
2.1%
Other values (9) 9
19.1%

강
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
조강(Aves)
31 
포유강(Mammalia)
16 

Length

Max length13
Median length8
Mean length9.7021277
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) 31
66.0%
포유강(Mammalia) 16
34.0%

Length

2024-01-10T05:34:38.036527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:38.129782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 31
66.0%
포유강(mammalia 16
34.0%

목
Categorical

Distinct10
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
참새목
14 
소목
9 
식육목
6 
올빼미목
5 
비둘기목
4 
Other values (5)
9 

Length

Max length5
Median length4
Mean length3.0425532
Min length2

Unique

Unique3 ?
Unique (%)6.4%

Sample

1st row딱다구리목
2nd row매목
3rd row비둘기목
4th row올빼미목
5th row참새목

Common Values

ValueCountFrequency (%)
참새목 14
29.8%
소목 9
19.1%
식육목 6
12.8%
올빼미목 5
 
10.6%
비둘기목 4
 
8.5%
매목 3
 
6.4%
파랑새목 3
 
6.4%
딱다구리목 1
 
2.1%
기러기목 1
 
2.1%
쥐목 1
 
2.1%

Length

2024-01-10T05:34:38.250535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:38.391305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
참새목 14
29.8%
소목 9
19.1%
식육목 6
12.8%
올빼미목 5
 
10.6%
비둘기목 4
 
8.5%
매목 3
 
6.4%
파랑새목 3
 
6.4%
딱다구리목 1
 
2.1%
기러기목 1
 
2.1%
쥐목 1
 
2.1%

과
Categorical

Distinct16
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
사슴과
9 
참새과
8 
올빼미과
5 
비둘기과
4 
개과
4 
Other values (11)
17 

Length

Max length5
Median length4
Mean length3.3191489
Min length2

Unique

Unique8 ?
Unique (%)17.0%

Sample

1st row딱다구리과
2nd row매과
3rd row비둘기과
4th row올빼미과
5th row까마귀과

Common Values

ValueCountFrequency (%)
사슴과 9
19.1%
참새과 8
17.0%
올빼미과 5
10.6%
비둘기과 4
8.5%
개과 4
8.5%
매과 3
 
6.4%
까마귀과 3
 
6.4%
파랑새과 3
 
6.4%
딱다구리과 1
 
2.1%
박새과 1
 
2.1%
Other values (6) 6
12.8%

Length

2024-01-10T05:34:38.557345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 9
19.1%
참새과 8
17.0%
올빼미과 5
10.6%
비둘기과 4
8.5%
개과 4
8.5%
매과 3
 
6.4%
까마귀과 3
 
6.4%
파랑새과 3
 
6.4%
딱다구리과 1
 
2.1%
박새과 1
 
2.1%
Other values (6) 6
12.8%

천연기념물
Categorical

IMBALANCE 

Distinct6
Distinct (%)12.8%
Missing0
Missing (%)0.0%
Memory size508.0 B
해당없음
37 
323-8
 
3
324-3
 
3
324-6
 
2
330
 
1

Length

Max length5
Median length4
Mean length4.1276596
Min length3

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row해당없음
2nd row323-8
3rd row해당없음
4th row324-3
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 37
78.7%
323-8 3
 
6.4%
324-3 3
 
6.4%
324-6 2
 
4.3%
330 1
 
2.1%
328 1
 
2.1%

Length

2024-01-10T05:34:38.712505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:38.846681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 37
78.7%
323-8 3
 
6.4%
324-3 3
 
6.4%
324-6 2
 
4.3%
330 1
 
2.1%
328 1
 
2.1%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
해당없음
44 
2 급
 
2
1 급
 
1

Length

Max length4
Median length4
Mean length3.9361702
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 44
93.6%
2 급 2
 
4.3%
1 급 1
 
2.1%

Length

2024-01-10T05:34:38.954468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:39.042348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 44
88.0%
급 3
 
6.0%
2 2
 
4.0%
1 1
 
2.0%

야생동물보호협약
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
해당없음
36 
부속서 2종
10 
부속서 1종
 
1

Length

Max length6
Median length4
Mean length4.4680851
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 36
76.6%
부속서 2종 10
 
21.3%
부속서 1종 1
 
2.1%

Length

2024-01-10T05:34:39.141740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:39.241878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 36
62.1%
부속서 11
 
19.0%
2종 10
 
17.2%
1종 1
 
1.7%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing46
Missing (%)97.9%
Memory size508.0 B
Minimum2019-09-24 00:00:00
Maximum2019-09-24 00:00:00
2024-01-10T05:34:39.316933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:34:39.393584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing46
Missing (%)97.9%
Memory size508.0 B
Minimum2019-09-24 00:00:00
Maximum2019-09-24 00:00:00
2024-01-10T05:34:39.470363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:34:39.556150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2019-01-02 00:00:00
Maximum2021-07-22 00:00:00
2024-01-10T05:34:39.658468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:34:40.027379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)

구조결과일자
Date

Distinct41
Distinct (%)87.2%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2019-01-18 00:00:00
Maximum2021-08-30 00:00:00
2024-01-10T05:34:40.150597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:34:40.269458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)

구조결과
Categorical

Distinct5
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
방생
14 
안락사
14 
DOA
9 
폐사
7 
폐사체
3 

Length

Max length3
Median length3
Mean length2.5531915
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 14
29.8%
안락사 14
29.8%
DOA 9
19.1%
폐사 7
14.9%
폐사체 3
 
6.4%

Length

2024-01-10T05:34:40.384805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:40.482723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 14
29.8%
안락사 14
29.8%
doa 9
19.1%
폐사 7
14.9%
폐사체 3
 
6.4%

이첩 방생 위치
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing33
Missing (%)70.2%
Memory size508.0 B
2024-01-10T05:34:40.629900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length20.214286
Min length18

Characters and Unicode

Total characters283
Distinct characters57
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

Unique7 ?
Unique (%)50.0%

Sample

1st row충청남도 천안시 서북구 쌍용동 5
2nd row충청남도 예산군 예산읍 발연리 344
3rd row충청남도 예산군 예산읍 대회리 1
4th row충청남도 예산군 예산읍 대회리 1
5th row충청남도 예산군 예산읍 대회리 1
ValueCountFrequency (%)
충청남도 14
18.9%
예산읍 6
 
8.1%
예산군 6
 
8.1%
산 5
 
6.8%
대회리 5
 
6.8%
1 5
 
6.8%
계룡시 3
 
4.1%
초대리 2
 
2.7%
12-5 2
 
2.7%
당진시 2
 
2.7%
Other values (23) 24
32.4%
2024-01-10T05:34:40.924195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
61
21.6%
산 17
 
6.0%
충 14
 
4.9%
남 14
 
4.9%
도 14
 
4.9%
청 14
 
4.9%
예 12
 
4.2%
리 12
 
4.2%
1 10
 
3.5%
시 7
 
2.5%
Other values (47) 108
38.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
65.0%
Space Separator 61
 
21.6%
Decimal Number 31
 
11.0%
Dash Punctuation 7
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 17
 
9.2%
충 14
 
7.6%
남 14
 
7.6%
도 14
 
7.6%
청 14
 
7.6%
예 12
 
6.5%
리 12
 
6.5%
시 7
 
3.8%
군 7
 
3.8%
대 7
 
3.8%
Other values (36) 66
35.9%
Decimal Number
ValueCountFrequency (%)
1 10
32.3%
5 5
16.1%
3 4
 
12.9%
6 3
 
9.7%
2 3
 
9.7%
4 3
 
9.7%
0 1
 
3.2%
9 1
 
3.2%
8 1
 
3.2%
Space Separator
ValueCountFrequency (%)
61
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
65.0%
Common 99
35.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 17
 
9.2%
충 14
 
7.6%
남 14
 
7.6%
도 14
 
7.6%
청 14
 
7.6%
예 12
 
6.5%
리 12
 
6.5%
시 7
 
3.8%
군 7
 
3.8%
대 7
 
3.8%
Other values (36) 66
35.9%
Common
ValueCountFrequency (%)
61
61.6%
1 10
 
10.1%
- 7
 
7.1%
5 5
 
5.1%
3 4
 
4.0%
6 3
 
3.0%
2 3
 
3.0%
4 3
 
3.0%
0 1
 
1.0%
9 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
65.0%
ASCII 99
35.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
61
61.6%
1 10
 
10.1%
- 7
 
7.1%
5 5
 
5.1%
3 4
 
4.0%
6 3
 
3.0%
2 3
 
3.0%
4 3
 
3.0%
0 1
 
1.0%
9 1
 
1.0%
Hangul
ValueCountFrequency (%)
산 17
 
9.2%
충 14
 
7.6%
남 14
 
7.6%
도 14
 
7.6%
청 14
 
7.6%
예 12
 
6.5%
리 12
 
6.5%
시 7
 
3.8%
군 7
 
3.8%
대 7
 
3.8%
Other values (36) 66
35.9%

사체처리
Categorical

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
기타
33 
<NA>
14 

Length

Max length4
Median length2
Mean length2.5957447
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 33
70.2%
<NA> 14
29.8%

Length

2024-01-10T05:34:41.055348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:41.147123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 33
70.2%
na 14
29.8%

동물성별
Categorical

Distinct3
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size508.0 B
Unknown
29 
Male
9 
Female
9 

Length

Max length7
Median length7
Mean length6.2340426
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 29
61.7%
Male 9
 
19.1%
Female 9
 
19.1%

Length

2024-01-10T05:34:41.248546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:41.372196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 29
61.7%
male 9
 
19.1%
female 9
 
19.1%

동물연령
Categorical

Distinct15
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
Nestling
15 
Juvenile
10 
0년0월0일
6 
Adult
4 
Unknown
2 
Other values (10)
10 

Length

Max length8
Median length8
Mean length7.0851064
Min length5

Unique

Unique10 ?
Unique (%)21.3%

Sample

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

Common Values

ValueCountFrequency (%)
Nestling 15
31.9%
Juvenile 10
21.3%
0년0월0일 6
 
12.8%
Adult 4
 
8.5%
Unknown 2
 
4.3%
2년6월0일 1
 
2.1%
4년6월0일 1
 
2.1%
0년9월0일 1
 
2.1%
0년10월0일 1
 
2.1%
0년7월0일 1
 
2.1%
Other values (5) 5
 
10.6%

Length

2024-01-10T05:34:41.500632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
nestling 15
31.9%
juvenile 10
21.3%
0년0월0일 6
 
12.8%
adult 4
 
8.5%
unknown 2
 
4.3%
2년6월0일 1
 
2.1%
4년6월0일 1
 
2.1%
0년9월0일 1
 
2.1%
0년10월0일 1
 
2.1%
0년7월0일 1
 
2.1%
Other values (5) 5
 
10.6%

구조위도
Real number (ℝ)

Distinct38
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.278028
Minimum36.242972
Maximum36.31725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:41.637055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.242972
5-th percentile36.249316
Q136.268389
median36.280111
Q336.287833
95-th percentile36.310614
Maximum36.31725
Range0.074278
Interquartile range (IQR)0.019444

Descriptive statistics

Standard deviation0.017826187
Coefficient of variation (CV)0.00049137694
Kurtosis-0.068529024
Mean36.278028
Median Absolute Deviation (MAD)0.011028
Skewness0.151048
Sum1705.0673
Variance0.00031777293
MonotonicityNot monotonic
2024-01-10T05:34:41.773060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
36.287833 6
 
12.8%
36.269806 3
 
6.4%
36.286278 2
 
4.3%
36.280111 2
 
4.3%
36.277944 1
 
2.1%
36.281694 1
 
2.1%
36.269056 1
 
2.1%
36.242972 1
 
2.1%
36.243111 1
 
2.1%
36.258694 1
 
2.1%
Other values (28) 28
59.6%
ValueCountFrequency (%)
36.242972 1
2.1%
36.243111 1
2.1%
36.248833 1
2.1%
36.250444 1
2.1%
36.251833 1
2.1%
36.256972 1
2.1%
36.258694 1
2.1%
36.261167 1
2.1%
36.262556 1
2.1%
36.266694 1
2.1%
ValueCountFrequency (%)
36.31725 1
 
2.1%
36.317222 1
 
2.1%
36.313389 1
 
2.1%
36.304139 1
 
2.1%
36.300056 1
 
2.1%
36.298333 1
 
2.1%
36.297944 1
 
2.1%
36.293417 1
 
2.1%
36.287833 6
12.8%
36.286889 1
 
2.1%

구조경도
Real number (ℝ)

Distinct38
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.24786
Minimum127.21408
Maximum127.28303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:41.904499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.21408
5-th percentile127.22669
Q1127.23054
median127.24825
Q3127.26214
95-th percentile127.27539
Maximum127.28303
Range0.068945
Interquartile range (IQR)0.031597

Descriptive statistics

Standard deviation0.01741099
Coefficient of variation (CV)0.00013682737
Kurtosis-0.94467563
Mean127.24786
Median Absolute Deviation (MAD)0.016861
Skewness0.1452259
Sum5980.6496
Variance0.00030314259
MonotonicityNot monotonic
2024-01-10T05:34:42.028872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
127.229778 6
 
12.8%
127.265111 2
 
4.3%
127.237583 2
 
4.3%
127.257028 2
 
4.3%
127.242139 2
 
4.3%
127.242861 1
 
2.1%
127.276222 1
 
2.1%
127.236778 1
 
2.1%
127.266333 1
 
2.1%
127.256 1
 
2.1%
Other values (28) 28
59.6%
ValueCountFrequency (%)
127.214083 1
 
2.1%
127.216944 1
 
2.1%
127.226528 1
 
2.1%
127.227083 1
 
2.1%
127.229028 1
 
2.1%
127.229556 1
 
2.1%
127.229778 6
12.8%
127.231306 1
 
2.1%
127.236778 1
 
2.1%
127.237583 2
 
4.3%
ValueCountFrequency (%)
127.283028 1
2.1%
127.276778 1
2.1%
127.276222 1
2.1%
127.273444 1
2.1%
127.273111 1
2.1%
127.2695 1
2.1%
127.268944 1
2.1%
127.268556 1
2.1%
127.266333 1
2.1%
127.266306 1
2.1%

구조고도
Real number (ℝ)

Distinct30
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130.02128
Minimum85
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:42.147031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85
5-th percentile104.9
Q1117.5
median130
Q3141.5
95-th percentile151.1
Maximum177
Range92
Interquartile range (IQR)24

Descriptive statistics

Standard deviation17.624698
Coefficient of variation (CV)0.13555241
Kurtosis1.1289146
Mean130.02128
Median Absolute Deviation (MAD)12
Skewness0.25735038
Sum6111
Variance310.62997
MonotonicityNot monotonic
2024-01-10T05:34:42.255250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
135 6
 
12.8%
134 3
 
6.4%
142 3
 
6.4%
124 2
 
4.3%
130 2
 
4.3%
149 2
 
4.3%
126 2
 
4.3%
111 2
 
4.3%
127 2
 
4.3%
177 2
 
4.3%
Other values (20) 21
44.7%
ValueCountFrequency (%)
85 1
2.1%
103 1
2.1%
104 1
2.1%
107 1
2.1%
108 1
2.1%
110 1
2.1%
111 2
4.3%
112 1
2.1%
113 1
2.1%
115 1
2.1%
ValueCountFrequency (%)
177 2
 
4.3%
152 1
 
2.1%
149 2
 
4.3%
148 1
 
2.1%
145 1
 
2.1%
144 2
 
4.3%
142 3
6.4%
141 1
 
2.1%
139 1
 
2.1%
135 6
12.8%

방생위도
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing33
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean36.603484
Minimum36.265836
Maximum36.90334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:42.350554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.265836
5-th percentile36.268285
Q136.421567
median36.670081
Q336.692091
95-th percentile36.90334
Maximum36.90334
Range0.6375036
Interquartile range (IQR)0.27052419

Descriptive statistics

Standard deviation0.2205422
Coefficient of variation (CV)0.0060251696
Kurtosis-0.9454987
Mean36.603484
Median Absolute Deviation (MAD)0.11510135
Skewness-0.44398623
Sum512.44877
Variance0.048638862
MonotonicityNot monotonic
2024-01-10T05:34:42.443257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
36.67008139 5
 
10.6%
36.90333997 2
 
4.3%
36.81266696 1
 
2.1%
36.69942719 1
 
2.1%
36.26960274 1
 
2.1%
36.26583637 1
 
2.1%
36.58246426 1
 
2.1%
36.29375658 1
 
2.1%
36.36793398 1
 
2.1%
(Missing) 33
70.2%
ValueCountFrequency (%)
36.26583637 1
 
2.1%
36.26960274 1
 
2.1%
36.29375658 1
 
2.1%
36.36793398 1
 
2.1%
36.58246426 1
 
2.1%
36.67008139 5
10.6%
36.69942719 1
 
2.1%
36.81266696 1
 
2.1%
36.90333997 2
 
4.3%
ValueCountFrequency (%)
36.90333997 2
 
4.3%
36.81266696 1
 
2.1%
36.69942719 1
 
2.1%
36.67008139 5
10.6%
36.58246426 1
 
2.1%
36.36793398 1
 
2.1%
36.29375658 1
 
2.1%
36.26960274 1
 
2.1%
36.26583637 1
 
2.1%

방생경도
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)64.3%
Missing33
Missing (%)70.2%
Infinite0
Infinite (%)0.0%
Mean126.95792
Minimum126.63145
Maximum127.26876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:42.549309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63145
5-th percentile126.70954
Q1126.83185
median126.85967
Q3127.20482
95-th percentile127.26854
Maximum127.26876
Range0.6373192
Interquartile range (IQR)0.37296978

Descriptive statistics

Standard deviation0.22310372
Coefficient of variation (CV)0.0017573044
Kurtosis-1.3939017
Mean126.95792
Median Absolute Deviation (MAD)0.1080775
Skewness0.43661454
Sum1777.4109
Variance0.04977527
MonotonicityNot monotonic
2024-01-10T05:34:42.656683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
126.8596661 5
 
10.6%
126.7515886 2
 
4.3%
127.1223528 1
 
2.1%
126.8225772 1
 
2.1%
127.2684227 1
 
2.1%
127.2635301 1
 
2.1%
126.6314457 1
 
2.1%
127.232308 1
 
2.1%
127.2687649 1
 
2.1%
(Missing) 33
70.2%
ValueCountFrequency (%)
126.6314457 1
 
2.1%
126.7515886 2
 
4.3%
126.8225772 1
 
2.1%
126.8596661 5
10.6%
127.1223528 1
 
2.1%
127.232308 1
 
2.1%
127.2635301 1
 
2.1%
127.2684227 1
 
2.1%
127.2687649 1
 
2.1%
ValueCountFrequency (%)
127.2687649 1
 
2.1%
127.2684227 1
 
2.1%
127.2635301 1
 
2.1%
127.232308 1
 
2.1%
127.1223528 1
 
2.1%
126.8596661 5
10.6%
126.8225772 1
 
2.1%
126.7515886 2
 
4.3%
126.6314457 1
 
2.1%

발견장소상세
Text

MISSING 

Distinct36
Distinct (%)83.7%
Missing4
Missing (%)8.5%
Memory size508.0 B
2024-01-10T05:34:42.855894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length17
Mean length11.697674
Min length2

Characters and Unicode

Total characters503
Distinct characters113
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)76.7%

Sample

1st row계룡대림e편한세상아파트
2nd row세화주택 옥상
3rd row(엄사중앙로 65-9) 주소지 부근 건물 옆
4th row계룡대해미르 아파트 107동 앞 단지
5th row(번영11길 3) 엄사중학교 교내
ValueCountFrequency (%)
엄사중학교 7
 
5.3%
단지 7
 
5.3%
번영11길 6
 
4.5%
앞 6
 
4.5%
교내 6
 
4.5%
부근 6
 
4.5%
아파트 6
 
4.5%
내 6
 
4.5%
3 6
 
4.5%
주변 5
 
3.8%
Other values (57) 72
54.1%
2024-01-10T05:34:43.183655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
18.5%
지 15
 
3.0%
교 15
 
3.0%
1 14
 
2.8%
아 14
 
2.8%
내 14
 
2.8%
파 12
 
2.4%
트 11
 
2.2%
사 11
 
2.2%
부 11
 
2.2%
Other values (103) 293
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 357
71.0%
Space Separator 93
 
18.5%
Decimal Number 30
 
6.0%
Open Punctuation 10
 
2.0%
Close Punctuation 10
 
2.0%
Lowercase Letter 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 15
 
4.2%
교 15
 
4.2%
아 14
 
3.9%
내 14
 
3.9%
파 12
 
3.4%
트 11
 
3.1%
사 11
 
3.1%
부 11
 
3.1%
주 10
 
2.8%
로 10
 
2.8%
Other values (90) 234
65.5%
Decimal Number
ValueCountFrequency (%)
1 14
46.7%
3 6
20.0%
7 4
 
13.3%
5 2
 
6.7%
2 1
 
3.3%
6 1
 
3.3%
0 1
 
3.3%
9 1
 
3.3%
Space Separator
ValueCountFrequency (%)
93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 357
71.0%
Common 144
28.6%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 15
 
4.2%
교 15
 
4.2%
아 14
 
3.9%
내 14
 
3.9%
파 12
 
3.4%
트 11
 
3.1%
사 11
 
3.1%
부 11
 
3.1%
주 10
 
2.8%
로 10
 
2.8%
Other values (90) 234
65.5%
Common
ValueCountFrequency (%)
93
64.6%
1 14
 
9.7%
( 10
 
6.9%
) 10
 
6.9%
3 6
 
4.2%
7 4
 
2.8%
5 2
 
1.4%
2 1
 
0.7%
6 1
 
0.7%
0 1
 
0.7%
Other values (2) 2
 
1.4%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 357
71.0%
ASCII 146
29.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
63.7%
1 14
 
9.6%
( 10
 
6.8%
) 10
 
6.8%
3 6
 
4.1%
7 4
 
2.7%
e 2
 
1.4%
5 2
 
1.4%
2 1
 
0.7%
6 1
 
0.7%
Other values (3) 3
 
2.1%
Hangul
ValueCountFrequency (%)
지 15
 
4.2%
교 15
 
4.2%
아 14
 
3.9%
내 14
 
3.9%
파 12
 
3.4%
트 11
 
3.1%
사 11
 
3.1%
부 11
 
3.1%
주 10
 
2.8%
로 10
 
2.8%
Other values (90) 234
65.5%

발견주소
Text

Distinct34
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T05:34:43.369853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length20.595745
Min length15

Characters and Unicode

Total characters968
Distinct characters50
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

Unique28 ?
Unique (%)59.6%

Sample

1st row충청남도 계룡시 두마면 두계리 116
2nd row충청남도 계룡시 두마면 입암길 41-4
3rd row충청남도 계룡시 엄사면 엄사리 367
4th row충청남도 계룡시 신도안면 남선리 계룡대아파트
5th row충청남도 계룡시 두마면 두계리 19-18
ValueCountFrequency (%)
충청남도 47
20.6%
계룡시 47
20.6%
엄사면 17
 
7.5%
두마면 15
 
6.6%
엄사리 12
 
5.3%
금암동 8
 
3.5%
신도안면 7
 
3.1%
396-9 7
 
3.1%
두계리 6
 
2.6%
입암리 4
 
1.8%
Other values (45) 58
25.4%
2024-01-10T05:34:43.659801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
19.1%
계 56
 
5.8%
도 54
 
5.6%
남 50
 
5.2%
룡 48
 
5.0%
충 47
 
4.9%
시 47
 
4.9%
청 47
 
4.9%
면 39
 
4.0%
리 38
 
3.9%
Other values (40) 357
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 601
62.1%
Space Separator 185
 
19.1%
Decimal Number 156
 
16.1%
Dash Punctuation 26
 
2.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 56
 
9.3%
도 54
 
9.0%
남 50
 
8.3%
룡 48
 
8.0%
충 47
 
7.8%
시 47
 
7.8%
청 47
 
7.8%
면 39
 
6.5%
리 38
 
6.3%
엄 29
 
4.8%
Other values (28) 146
24.3%
Decimal Number
ValueCountFrequency (%)
1 29
18.6%
9 23
14.7%
2 22
14.1%
6 22
14.1%
4 16
10.3%
3 16
10.3%
7 12
7.7%
5 8
 
5.1%
8 4
 
2.6%
0 4
 
2.6%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 601
62.1%
Common 367
37.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 56
 
9.3%
도 54
 
9.0%
남 50
 
8.3%
룡 48
 
8.0%
충 47
 
7.8%
시 47
 
7.8%
청 47
 
7.8%
면 39
 
6.5%
리 38
 
6.3%
엄 29
 
4.8%
Other values (28) 146
24.3%
Common
ValueCountFrequency (%)
185
50.4%
1 29
 
7.9%
- 26
 
7.1%
9 23
 
6.3%
2 22
 
6.0%
6 22
 
6.0%
4 16
 
4.4%
3 16
 
4.4%
7 12
 
3.3%
5 8
 
2.2%
Other values (2) 8
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 601
62.1%
ASCII 367
37.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
50.4%
1 29
 
7.9%
- 26
 
7.1%
9 23
 
6.3%
2 22
 
6.0%
6 22
 
6.0%
4 16
 
4.4%
3 16
 
4.4%
7 12
 
3.3%
5 8
 
2.2%
Other values (2) 8
 
2.2%
Hangul
ValueCountFrequency (%)
계 56
 
9.3%
도 54
 
9.0%
남 50
 
8.3%
룡 48
 
8.0%
충 47
 
7.8%
시 47
 
7.8%
청 47
 
7.8%
면 39
 
6.5%
리 38
 
6.3%
엄 29
 
4.8%
Other values (28) 146
24.3%

발견장소특징
Categorical

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
건물옆
31 
도로변
11 
숲
 
3
기타
 
2

Length

Max length3
Median length3
Mean length2.8297872
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 31
66.0%
도로변 11
 
23.4%
숲 3
 
6.4%
기타 2
 
4.3%

Length

2024-01-10T05:34:43.784717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:34:43.877400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 31
66.0%
도로변 11
 
23.4%
숲 3
 
6.4%
기타 2
 
4.3%

발생원인
Categorical

Distinct12
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
어미를 잃음(미아)
17 
전선/건물과의 충돌
10 
차량과의 충돌
7 
추락
3 
알 수 없는 사고
2 
Other values (7)
8 

Length

Max length11
Median length10
Mean length8.3829787
Min length1

Unique

Unique6 ?
Unique (%)12.8%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 17
36.2%
전선/건물과의 충돌 10
21.3%
차량과의 충돌 7
14.9%
추락 3
 
6.4%
알 수 없는 사고 2
 
4.3%
기생충 중감염 2
 
4.3%
덫 1
 
2.1%
기타 1
 
2.1%
개, 고양이 공격 1
 
2.1%
기아 및 탈진 1
 
2.1%
Other values (2) 2
 
4.3%

Length

2024-01-10T05:34:43.971436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
어미를 17
17.9%
충돌 17
17.9%
잃음(미아 17
17.9%
전선/건물과의 10
10.5%
차량과의 7
7.4%
추락 3
 
3.2%
사고 2
 
2.1%
중감염 2
 
2.1%
기생충 2
 
2.1%
없는 2
 
2.1%
Other values (14) 16
16.8%

발생원인 세부사항
Text

MISSING 

Distinct31
Distinct (%)67.4%
Missing1
Missing (%)2.1%
Memory size508.0 B
2024-01-10T05:34:44.161221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length20
Mean length12.869565
Min length2

Characters and Unicode

Total characters592
Distinct characters109
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)45.7%

Sample

1st row아파트 유리창 충돌
2nd row충돌 추정
3rd row아파트 단지 바닥에 있는 개체 구조
4th row미아
5th row미아
ValueCountFrequency (%)
충돌 15
 
9.6%
어미를 11
 
7.1%
추정 10
 
6.4%
잃음 9
 
5.8%
철거하는 6
 
3.8%
인공구조물을 6
 
3.8%
훼손 6
 
3.8%
둥지가 6
 
3.8%
과정에서 6
 
3.8%
미아 5
 
3.2%
Other values (58) 76
48.7%
2024-01-10T05:34:44.486391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
 
20.6%
충 20
 
3.4%
미 18
 
3.0%
돌 17
 
2.9%
정 17
 
2.9%
추 14
 
2.4%
에 13
 
2.2%
인 12
 
2.0%
음 11
 
1.9%
어 11
 
1.9%
Other values (99) 337
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
76.4%
Space Separator 122
 
20.6%
Other Punctuation 12
 
2.0%
Close Punctuation 3
 
0.5%
Open Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 20
 
4.4%
미 18
 
4.0%
돌 17
 
3.8%
정 17
 
3.8%
추 14
 
3.1%
에 13
 
2.9%
인 12
 
2.7%
음 11
 
2.4%
어 11
 
2.4%
잃 11
 
2.4%
Other values (94) 308
68.1%
Other Punctuation
ValueCountFrequency (%)
, 10
83.3%
/ 2
 
16.7%
Space Separator
ValueCountFrequency (%)
122
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
76.4%
Common 140
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 20
 
4.4%
미 18
 
4.0%
돌 17
 
3.8%
정 17
 
3.8%
추 14
 
3.1%
에 13
 
2.9%
인 12
 
2.7%
음 11
 
2.4%
어 11
 
2.4%
잃 11
 
2.4%
Other values (94) 308
68.1%
Common
ValueCountFrequency (%)
122
87.1%
, 10
 
7.1%
) 3
 
2.1%
( 3
 
2.1%
/ 2
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
76.4%
ASCII 140
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
87.1%
, 10
 
7.1%
) 3
 
2.1%
( 3
 
2.1%
/ 2
 
1.4%
Hangul
ValueCountFrequency (%)
충 20
 
4.4%
미 18
 
4.0%
돌 17
 
3.8%
정 17
 
3.8%
추 14
 
3.1%
에 13
 
2.9%
인 12
 
2.7%
음 11
 
2.4%
어 11
 
2.4%
잃 11
 
2.4%
Other values (94) 308
68.1%

구조위도(TM)
Text

Distinct38
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T05:34:44.649952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters470
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

Unique34 ?
Unique (%)72.3%

Sample

1st row36 16 11.3
2nd row36 15 06.6
3rd row36 17 10.0
4th row36 17 52.6
5th row36 16 00.1
ValueCountFrequency (%)
36 47
33.3%
16 19
13.5%
17 14
 
9.9%
15 6
 
4.3%
16.2 6
 
4.3%
11.3 3
 
2.1%
18 3
 
2.1%
14 3
 
2.1%
10.6 2
 
1.4%
48.4 2
 
1.4%
Other values (35) 36
25.5%
2024-01-10T05:34:44.903234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
94
20.0%
6 82
17.4%
1 74
15.7%
3 58
12.3%
. 47
10.0%
0 24
 
5.1%
7 19
 
4.0%
2 18
 
3.8%
5 18
 
3.8%
4 16
 
3.4%
Other values (2) 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 329
70.0%
Space Separator 94
 
20.0%
Other Punctuation 47
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 82
24.9%
1 74
22.5%
3 58
17.6%
0 24
 
7.3%
7 19
 
5.8%
2 18
 
5.5%
5 18
 
5.5%
4 16
 
4.9%
8 12
 
3.6%
9 8
 
2.4%
Space Separator
ValueCountFrequency (%)
94
100.0%
Other Punctuation
ValueCountFrequency (%)
. 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 470
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
94
20.0%
6 82
17.4%
1 74
15.7%
3 58
12.3%
. 47
10.0%
0 24
 
5.1%
7 19
 
4.0%
2 18
 
3.8%
5 18
 
3.8%
4 16
 
3.4%
Other values (2) 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 470
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
94
20.0%
6 82
17.4%
1 74
15.7%
3 58
12.3%
. 47
10.0%
0 24
 
5.1%
7 19
 
4.0%
2 18
 
3.8%
5 18
 
3.8%
4 16
 
3.4%
Other values (2) 20
 
4.3%

구조경도(TM)
Text

Distinct38
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T05:34:45.084912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters517
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

Unique33 ?
Unique (%)70.2%

Sample

1st row127 15 54.4
2nd row127 16 06.8
3rd row127 14 22.9
4th row127 14 53.7
5th row127 16 24.4
ValueCountFrequency (%)
127 47
33.3%
14 13
 
9.2%
15 13
 
9.2%
13 12
 
8.5%
16 8
 
5.7%
47.2 6
 
4.3%
31.7 2
 
1.4%
54.4 2
 
1.4%
25.3 2
 
1.4%
15.3 2
 
1.4%
Other values (34) 34
24.1%
2024-01-10T05:34:45.393889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 106
20.5%
94
18.2%
2 71
13.7%
7 60
11.6%
. 47
9.1%
4 35
 
6.8%
5 35
 
6.8%
3 33
 
6.4%
6 14
 
2.7%
0 10
 
1.9%
Other values (2) 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 376
72.7%
Space Separator 94
 
18.2%
Other Punctuation 47
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 106
28.2%
2 71
18.9%
7 60
16.0%
4 35
 
9.3%
5 35
 
9.3%
3 33
 
8.8%
6 14
 
3.7%
0 10
 
2.7%
8 9
 
2.4%
9 3
 
0.8%
Space Separator
ValueCountFrequency (%)
94
100.0%
Other Punctuation
ValueCountFrequency (%)
. 47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 106
20.5%
94
18.2%
2 71
13.7%
7 60
11.6%
. 47
9.1%
4 35
 
6.8%
5 35
 
6.8%
3 33
 
6.4%
6 14
 
2.7%
0 10
 
1.9%
Other values (2) 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 106
20.5%
94
18.2%
2 71
13.7%
7 60
11.6%
. 47
9.1%
4 35
 
6.8%
5 35
 
6.8%
3 33
 
6.4%
6 14
 
2.7%
0 10
 
1.9%
Other values (2) 12
 
2.3%

방생위도(TM)
Text

MISSING 

Distinct10
Distinct (%)71.4%
Missing33
Missing (%)70.2%
Memory size508.0 B
2024-01-10T05:34:45.540765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters140
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

Unique8 ?
Unique (%)57.1%

Sample

1st row36 48 45.3
2nd row36 41 52.0
3rd row36 40 13.4
4th row36 40 13.4
5th row36 40 13.4
ValueCountFrequency (%)
36 14
33.3%
40 5
 
11.9%
13.4 4
 
9.5%
54 2
 
4.8%
11.8 2
 
4.8%
15 1
 
2.4%
22 1
 
2.4%
37.4 1
 
2.4%
17 1
 
2.4%
54.9 1
 
2.4%
Other values (10) 10
23.8%
2024-01-10T05:34:45.767461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
20.0%
3 24
17.1%
4 19
13.6%
6 15
10.7%
1 15
10.7%
. 14
10.0%
0 7
 
5.0%
5 7
 
5.0%
8 3
 
2.1%
2 3
 
2.1%
Other values (2) 5
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 98
70.0%
Space Separator 28
 
20.0%
Other Punctuation 14
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 24
24.5%
4 19
19.4%
6 15
15.3%
1 15
15.3%
0 7
 
7.1%
5 7
 
7.1%
8 3
 
3.1%
2 3
 
3.1%
7 3
 
3.1%
9 2
 
2.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 140
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
28
20.0%
3 24
17.1%
4 19
13.6%
6 15
10.7%
1 15
10.7%
. 14
10.0%
0 7
 
5.0%
5 7
 
5.0%
8 3
 
2.1%
2 3
 
2.1%
Other values (2) 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 140
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
20.0%
3 24
17.1%
4 19
13.6%
6 15
10.7%
1 15
10.7%
. 14
10.0%
0 7
 
5.0%
5 7
 
5.0%
8 3
 
2.1%
2 3
 
2.1%
Other values (2) 5
 
3.6%

방생경도(TM)
Text

MISSING 

Distinct9
Distinct (%)64.3%
Missing33
Missing (%)70.2%
Memory size508.0 B
2024-01-10T05:34:45.897098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters154
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

Unique7 ?
Unique (%)50.0%

Sample

1st row127 07 20.3
2nd row126 49 21.1
3rd row126 51 45.7
4th row126 51 45.7
5th row126 51 45.7
ValueCountFrequency (%)
126 9
21.4%
45.7 5
11.9%
127 5
11.9%
51 5
11.9%
07.2 3
 
7.1%
45 2
 
4.8%
16 2
 
4.8%
15 1
 
2.4%
13 1
 
2.4%
54.0 1
 
2.4%
Other values (8) 8
19.0%
2024-01-10T05:34:46.129281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
18.2%
1 25
16.2%
2 19
12.3%
7 16
10.4%
5 15
9.7%
. 14
9.1%
6 13
8.4%
4 12
7.8%
0 7
 
4.5%
3 3
 
1.9%
Other values (2) 2
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 112
72.7%
Space Separator 28
 
18.2%
Other Punctuation 14
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 25
22.3%
2 19
17.0%
7 16
14.3%
5 15
13.4%
6 13
11.6%
4 12
10.7%
0 7
 
6.2%
3 3
 
2.7%
9 1
 
0.9%
8 1
 
0.9%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
. 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 154
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
28
18.2%
1 25
16.2%
2 19
12.3%
7 16
10.4%
5 15
9.7%
. 14
9.1%
6 13
8.4%
4 12
7.8%
0 7
 
4.5%
3 3
 
1.9%
Other values (2) 2
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 154
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
18.2%
1 25
16.2%
2 19
12.3%
7 16
10.4%
5 15
9.7%
. 14
9.1%
6 13
8.4%
4 12
7.8%
0 7
 
4.5%
3 3
 
1.9%
Other values (2) 2
 
1.3%

등록체중
Real number (ℝ)

ZEROS 

Distinct40
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3313.0213
Minimum0
Maximum19840
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:46.265385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q119.5
median118
Q32940
95-th percentile16904
Maximum19840
Range19840
Interquartile range (IQR)2920.5

Descriptive statistics

Standard deviation6099.8861
Coefficient of variation (CV)1.8411853
Kurtosis1.335301
Mean3313.0213
Median Absolute Deviation (MAD)109
Skewness1.7050171
Sum155712
Variance37208611
MonotonicityNot monotonic
2024-01-10T05:34:46.424703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
9 6
 
12.8%
58 2
 
4.3%
0 2
 
4.3%
17000 1
 
2.1%
64 1
 
2.1%
14 1
 
2.1%
54 1
 
2.1%
4 1
 
2.1%
17520 1
 
2.1%
11320 1
 
2.1%
Other values (30) 30
63.8%
ValueCountFrequency (%)
0 2
 
4.3%
4 1
 
2.1%
5 1
 
2.1%
8 1
 
2.1%
9 6
12.8%
14 1
 
2.1%
25 1
 
2.1%
46 1
 
2.1%
54 1
 
2.1%
58 2
 
4.3%
ValueCountFrequency (%)
19840 1
2.1%
17520 1
2.1%
17000 1
2.1%
16680 1
2.1%
15960 1
2.1%
15680 1
2.1%
14260 1
2.1%
11320 1
2.1%
7680 1
2.1%
5580 1
2.1%

현재체중
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3328.9574
Minimum0
Maximum19840
Zeros1
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size555.0 B
2024-01-10T05:34:46.587082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.5
Q148
median124
Q32940
95-th percentile16904
Maximum19840
Range19840
Interquartile range (IQR)2892

Descriptive statistics

Standard deviation6088.9822
Coefficient of variation (CV)1.8290958
Kurtosis1.3463375
Mean3328.9574
Median Absolute Deviation (MAD)112
Skewness1.7086955
Sum156461
Variance37075704
MonotonicityNot monotonic
2024-01-10T05:34:46.750412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
66 2
 
4.3%
18 2
 
4.3%
17000 1
 
2.1%
164 1
 
2.1%
46 1
 
2.1%
64 1
 
2.1%
12 1
 
2.1%
54 1
 
2.1%
4 1
 
2.1%
17520 1
 
2.1%
Other values (35) 35
74.5%
ValueCountFrequency (%)
0 1
2.1%
4 1
2.1%
5 1
2.1%
10 1
2.1%
11 1
2.1%
12 1
2.1%
14 1
2.1%
16 1
2.1%
17 1
2.1%
18 2
4.3%
ValueCountFrequency (%)
19840 1
2.1%
17520 1
2.1%
17000 1
2.1%
16680 1
2.1%
15960 1
2.1%
15680 1
2.1%
14260 1
2.1%
11320 1
2.1%
7680 1
2.1%
5580 1
2.1%

임상적최종진단
Text

Distinct36
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size508.0 B
2024-01-10T05:34:47.012136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length25
Mean length14.574468
Min length2

Characters and Unicode

Total characters685
Distinct characters155
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

Unique32 ?
Unique (%)68.1%

Sample

1st row충돌에 의한 내부 장기 손상(추정) 및 척추 손상 의심
2nd row우측 견갑골 골절/우측 등 타박상
3rd row척추 골절
4th row우측 대퇴골 부위 승저증/뇌진탕
5th row미아 개체
ValueCountFrequency (%)
및 10
 
5.2%
미아 8
 
4.2%
의한 8
 
4.2%
인공구조물을 6
 
3.1%
과정에서 6
 
3.1%
둥지가 6
 
3.1%
훼손 6
 
3.1%
어미를 6
 
3.1%
잃음 6
 
3.1%
철거하는 6
 
3.1%
Other values (87) 123
64.4%
2024-01-10T05:34:47.394920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
21.9%
골 18
 
2.6%
절 16
 
2.3%
에 15
 
2.2%
한 14
 
2.0%
미 14
 
2.0%
의 11
 
1.6%
추 11
 
1.6%
상 11
 
1.6%
인 10
 
1.5%
Other values (145) 415
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 500
73.0%
Space Separator 150
 
21.9%
Other Punctuation 12
 
1.8%
Lowercase Letter 9
 
1.3%
Decimal Number 4
 
0.6%
Close Punctuation 3
 
0.4%
Open Punctuation 3
 
0.4%
Uppercase Letter 3
 
0.4%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 18
 
3.6%
절 16
 
3.2%
에 15
 
3.0%
한 14
 
2.8%
미 14
 
2.8%
의 11
 
2.2%
추 11
 
2.2%
상 11
 
2.2%
인 10
 
2.0%
지 10
 
2.0%
Other values (124) 370
74.0%
Lowercase Letter
ValueCountFrequency (%)
t 1
11.1%
v 1
11.1%
s 1
11.1%
l 1
11.1%
u 1
11.1%
a 1
11.1%
i 1
11.1%
o 1
11.1%
n 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
/ 4
33.3%
. 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
5 2
50.0%
1 1
25.0%
6 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 2
66.7%
R 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 500
73.0%
Common 173
 
25.3%
Latin 12
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 18
 
3.6%
절 16
 
3.2%
에 15
 
3.0%
한 14
 
2.8%
미 14
 
2.8%
의 11
 
2.2%
추 11
 
2.2%
상 11
 
2.2%
인 10
 
2.0%
지 10
 
2.0%
Other values (124) 370
74.0%
Latin
ValueCountFrequency (%)
L 2
16.7%
R 1
8.3%
t 1
8.3%
v 1
8.3%
s 1
8.3%
l 1
8.3%
u 1
8.3%
a 1
8.3%
i 1
8.3%
o 1
8.3%
Common
ValueCountFrequency (%)
150
86.7%
, 7
 
4.0%
/ 4
 
2.3%
) 3
 
1.7%
( 3
 
1.7%
5 2
 
1.2%
. 1
 
0.6%
1 1
 
0.6%
6 1
 
0.6%
~ 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 500
73.0%
ASCII 185
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
81.1%
, 7
 
3.8%
/ 4
 
2.2%
) 3
 
1.6%
( 3
 
1.6%
5 2
 
1.1%
L 2
 
1.1%
. 1
 
0.5%
R 1
 
0.5%
t 1
 
0.5%
Other values (11) 11
 
5.9%
Hangul
ValueCountFrequency (%)
골 18
 
3.6%
절 16
 
3.2%
에 15
 
3.0%
한 14
 
2.8%
미 14
 
2.8%
의 11
 
2.2%
추 11
 
2.2%
상 11
 
2.2%
인 10
 
2.0%
지 10
 
2.0%
Other values (124) 370
74.0%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM)구조경도(TM)방생위도(TM)방생경도(TM)등록체중현재체중임상적최종진단
02019-1450오색딱다구리조강(Aves)딱다구리목딱다구리과해당없음해당없음해당없음2019-09-242019-09-242019-09-242019-10-10방생충청남도 천안시 서북구 쌍용동 5<NA>UnknownJuvenile36.269806127.26511112436.812667127.122353계룡대림e편한세상아파트충청남도 계룡시 두마면 두계리 116건물옆전선/건물과의 충돌아파트 유리창 충돌36 16 11.3127 15 54.436 48 45.3127 07 20.35850충돌에 의한 내부 장기 손상(추정) 및 척추 손상 의심
12019-1121황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2019-07-222019-08-22방생충청남도 예산군 예산읍 발연리 344<NA>UnknownJuvenile36.251833127.26855611136.699427126.822577세화주택 옥상충청남도 계룡시 두마면 입암길 41-4건물옆전선/건물과의 충돌<NA>36 15 06.6127 16 06.836 41 52.0126 49 21.1172222우측 견갑골 골절/우측 등 타박상
22019-1216멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2019-07-292019-07-29안락사<NA>기타UnknownJuvenile36.286111127.239694141<NA><NA>(엄사중앙로 65-9) 주소지 부근 건물 옆충청남도 계룡시 엄사면 엄사리 367건물옆전선/건물과의 충돌충돌 추정36 17 10.0127 14 22.9<NA><NA>118118척추 골절
32019-1255솔부엉이조강(Aves)올빼미목올빼미과324-3해당없음부속서 2종<NA><NA>2019-08-012019-08-02안락사<NA>기타UnknownNestling36.297944127.24825129<NA><NA><NA>충청남도 계룡시 신도안면 남선리 계룡대아파트건물옆어미를 잃음(미아)아파트 단지 바닥에 있는 개체 구조36 17 52.6127 14 53.7<NA><NA>9292우측 대퇴골 부위 승저증/뇌진탕
42019-0376까치조강(Aves)참새목까마귀과해당없음해당없음해당없음<NA><NA>2019-05-082019-05-08DOA<NA>기타UnknownJuvenile36.266694127.273444104<NA><NA><NA>충청남도 계룡시 두마면 두계리 19-18도로변어미를 잃음(미아)미아36 16 00.1127 16 24.4<NA><NA>110110미아 개체
52019-0893박새조강(Aves)참새목박새과해당없음해당없음해당없음<NA><NA>2019-06-272019-07-11폐사<NA>기타UnknownNestling36.298333127.242861123<NA><NA>계룡대해미르 아파트 107동 앞 단지충청남도 계룡시 신도안면 남선리 1340건물옆어미를 잃음(미아)미아36 17 54.0127 14 34.3<NA><NA>811미아
62019-0341참새조강(Aves)참새목참새과해당없음해당없음해당없음<NA><NA>2019-05-032019-05-23방생충청남도 예산군 예산읍 대회리 1<NA>UnknownNestling36.287833127.22977813536.670081126.859666(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.236 40 13.4126 51 45.7917인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
72019-0342참새조강(Aves)참새목참새과해당없음해당없음해당없음<NA><NA>2019-05-032019-05-17폐사<NA>기타UnknownNestling36.287833127.229778135<NA><NA>(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.2<NA><NA>910인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
82019-0343참새조강(Aves)참새목참새과해당없음해당없음해당없음<NA><NA>2019-05-032019-05-23방생충청남도 예산군 예산읍 대회리 1<NA>UnknownNestling36.287833127.22977813536.670081126.859666(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.236 40 13.4126 51 45.7916인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
92019-0344참새조강(Aves)참새목참새과해당없음해당없음해당없음<NA><NA>2019-05-032019-05-23방생충청남도 예산군 예산읍 대회리 1<NA>UnknownNestling36.287833127.22977813536.670081126.859666(번영11길 3) 엄사중학교 교내충청남도 계룡시 엄사면 엄사리 396-9건물옆어미를 잃음(미아)인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음36 17 16.2127 13 47.236 40 13.4126 51 45.7918인공구조물을 철거하는 과정에서 둥지가 훼손, 어미를 잃음
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM)구조경도(TM)방생위도(TM)방생경도(TM)등록체중현재체중임상적최종진단
372020-1551고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2020-08-282020-08-28안락사<NA>기타Female0년3월0일36.262556127.276222130<NA><NA>(사계로 177) 농업기술센터 단지 내충청남도 계룡시 두마면 왕대리 251-21건물옆추락콘크리트 벽 위에서 추락36 15 45.2127 16 34.4<NA><NA>76807680하악골절/복부 좌상
382020-1694고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2020-10-052020-10-22안락사<NA>기타Male1년3월0일36.313389127.227083144<NA><NA>석계리 체육공원충청남도 계룡시 신도안면 석계리 599건물옆차량과의 충돌차량충돌 추정36 18 48.2127 13 37.5<NA><NA>1568015680차량충돌에 의한 두부 손상
392020-0164너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2020-02-192020-02-20폐사체<NA>기타Female0년0월0일36.261167127.283028107<NA><NA>대문 앞충청남도 계룡시 두마면 왕대리 46건물옆기생충 중감염개선충 중감염36 15 40.2127 16 58.9<NA><NA>24802480개선충 감염
402020-1640하늘다람쥐포유강(Mammalia)쥐목청서과3282 급부속서 2종<NA><NA>2020-09-202020-09-22방생충청남도 계룡시 엄사면 엄사리 산 35-10<NA>Unknown0년0월0일36.304139127.21694417736.293757127.232308부대 안 지하가게충청남도 계룡시 신도안면 부남리 963숲부적절한 사육부적절한 사육36 18 14.9127 13 01.036 17 37.4127 13 56.4066부적절한 사육
412021-1117황조롱이조강(Aves)매목매과323-8해당없음부속서 2종<NA><NA>2021-06-222021-07-26안락사<NA>기타UnknownJuvenile36.286278127.242139134<NA><NA>성원아파트 앞 닭장 주변충청남도 계룡시 엄사면 엄사리 282건물옆전선/건물과의 충돌그 밖의 인공구조물 충돌36 17 10.6127 14 31.7<NA><NA>162192뇌진탕 및 심한 각막궤양, 좌측 후지 1지 골절
422021-1380집비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2021-07-222021-08-30방생충청남도 당진시 신평면 초대리 산 12-5<NA>UnknownNestling36.280111127.23758314236.90334126.751589아파트 단지 내 정자충청남도 계룡시 엄사면 유동리 14-6건물옆어미를 잃음(미아)어미를 잃음(미아)36 16 48.4127 14 15.336 54 11.8126 45 07.2154274단순 미아
432021-1381집비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음<NA><NA>2021-07-222021-08-30방생충청남도 당진시 신평면 초대리 산 12-5<NA>UnknownNestling36.280111127.23758314236.90334126.751589아파트 단지 내 정자충청남도 계룡시 엄사면 유동리 14-6건물옆어미를 잃음(미아)어미를 잃음(미아)36 16 48.4127 14 15.336 54 11.8126 45 07.2138254단순 미아
442021-0605소쩍새조강(Aves)올빼미목올빼미과324-6해당없음부속서 2종<NA><NA>2021-05-132021-05-24안락사<NA>기타UnknownAdult36.256972127.276778103<NA><NA>주소지 부근 건물 옆충청남도 계룡시 두마면 왕대리 271건물옆전선/건물과의 충돌유리 구조물 충돌36 15 25.1127 16 36.4<NA><NA>7878뇌진탕
452021-0486고라니포유강(Mammalia)소목사슴과해당없음해당없음해당없음<NA><NA>2021-04-292021-04-29안락사<NA>기타Male1년10월0일36.293417127.24275118<NA><NA>주소지 부근 도로변충청남도 계룡시 엄사면 엄사리 95도로변차량과의 충돌차량과의 충돌36 17 36.3127 14 33.9<NA><NA>1668016680L5 척추골절
462021-0072삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-01-142021-01-14방생충청남도 공주시 반포면 온천리 산 38-1<NA>Unknown0년0월0일36.285444127.21408313436.367934127.268765산아래 민가충청남도 계룡시 엄사면 향한리 493-4숲인공구조물 침입·고립인공구조물 침입, 고립/민가침입36 17 07.6127 12 50.736 22 04.4127 16 07.200단순 인가 침입