Overview

Dataset statistics

Number of variables34
Number of observations413
Missing cells2292
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory112.7 KiB
Average record size in memory279.3 B

Variable types

Text11
Categorical12
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 당진시 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=15109261

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (58.2%)Imbalance
멸종위기등급 is highly imbalanced (50.9%)Imbalance
발견일시 has 412 (99.8%) missing valuesMissing
접수일시 has 412 (99.8%) missing valuesMissing
이첩 방생 위치 has 278 (67.3%) missing valuesMissing
방생위도 has 280 (67.8%) missing valuesMissing
방생경도 has 280 (67.8%) missing valuesMissing
발견장소상세 has 51 (12.3%) missing valuesMissing
발생원인 세부사항 has 16 (3.9%) missing valuesMissing
방생위도(TM방생위도) has 280 (67.8%) missing valuesMissing
방생경도(TM방생경도) has 280 (67.8%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 8 (1.9%) zerosZeros
등록체중 has 50 (12.1%) zerosZeros
현재체중 has 52 (12.6%) zerosZeros

Reproduction

Analysis started2024-01-09 21:45:58.297458
Analysis finished2024-01-09 21:45:59.085884
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct413
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T06:45:59.292033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3717
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

Unique413 ?
Unique (%)100.0%

Sample

1st row2019-0843
2nd row2019-0844
3rd row2019-0845
4th row2019-1249
5th row2019-1250
ValueCountFrequency (%)
2019-0843 1
 
0.2%
2021-0116 1
 
0.2%
2021-0086 1
 
0.2%
2021-0063 1
 
0.2%
2021-0076 1
 
0.2%
2020-0584 1
 
0.2%
2020-2000 1
 
0.2%
2020-1999 1
 
0.2%
2020-1998 1
 
0.2%
2020-1997 1
 
0.2%
Other values (403) 403
97.6%
2024-01-10T06:45:59.640508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 939
25.3%
2 848
22.8%
1 580
15.6%
- 413
11.1%
9 242
 
6.5%
6 131
 
3.5%
4 126
 
3.4%
5 120
 
3.2%
3 112
 
3.0%
8 110
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3304
88.9%
Dash Punctuation 413
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 939
28.4%
2 848
25.7%
1 580
17.6%
9 242
 
7.3%
6 131
 
4.0%
4 126
 
3.8%
5 120
 
3.6%
3 112
 
3.4%
8 110
 
3.3%
7 96
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 413
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3717
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 939
25.3%
2 848
22.8%
1 580
15.6%
- 413
11.1%
9 242
 
6.5%
6 131
 
3.5%
4 126
 
3.4%
5 120
 
3.2%
3 112
 
3.0%
8 110
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3717
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 939
25.3%
2 848
22.8%
1 580
15.6%
- 413
11.1%
9 242
 
6.5%
6 131
 
3.5%
4 126
 
3.4%
5 120
 
3.2%
3 112
 
3.0%
8 110
 
3.0%

동물국문명
Text

Distinct62
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T06:45:59.791873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.3728814
Min length1

Characters and Unicode

Total characters1393
Distinct characters108
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)7.0%

Sample

1st row원앙
2nd row원앙
3rd row원앙
4th row흰뺨검둥오리
5th row흰뺨검둥오리
ValueCountFrequency (%)
고라니 88
21.3%
너구리 47
11.4%
멧비둘기 34
 
8.2%
독수리 31
 
7.5%
까치 27
 
6.5%
수리부엉이 19
 
4.6%
흰뺨검둥오리 16
 
3.9%
황조롱이 15
 
3.6%
참새 12
 
2.9%
말똥가리 9
 
2.2%
Other values (52) 115
27.8%
2024-01-10T06:46:00.033147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 143
 
10.3%
고 95
 
6.8%
니 95
 
6.8%
라 90
 
6.5%
기 59
 
4.2%
수 55
 
3.9%
구 54
 
3.9%
이 52
 
3.7%
너 47
 
3.4%
새 38
 
2.7%
Other values (98) 665
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1390
99.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 143
 
10.3%
고 95
 
6.8%
니 95
 
6.8%
라 90
 
6.5%
기 59
 
4.2%
수 55
 
4.0%
구 54
 
3.9%
이 52
 
3.7%
너 47
 
3.4%
새 38
 
2.7%
Other values (95) 662
47.6%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Symbol
ValueCountFrequency (%)
㉵ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1391
99.9%
Common 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 143
 
10.3%
고 95
 
6.8%
니 95
 
6.8%
라 90
 
6.5%
기 59
 
4.2%
수 55
 
4.0%
구 54
 
3.9%
이 52
 
3.7%
너 47
 
3.4%
새 38
 
2.7%
Other values (96) 663
47.7%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1390
99.8%
ASCII 2
 
0.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 143
 
10.3%
고 95
 
6.8%
니 95
 
6.8%
라 90
 
6.5%
기 59
 
4.2%
수 55
 
4.0%
구 54
 
3.9%
이 52
 
3.7%
너 47
 
3.4%
새 38
 
2.7%
Other values (95) 662
47.6%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%
None
ValueCountFrequency (%)
㉵ 1
100.0%

강
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
조강(Aves)
263 
포유강(Mammalia)
148 
파충강(Reptilia)
 
2

Length

Max length13
Median length8
Mean length9.8159806
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) 263
63.7%
포유강(Mammalia) 148
35.8%
파충강(Reptilia) 2
 
0.5%

Length

2024-01-10T06:46:00.136371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:00.214935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 263
63.7%
포유강(mammalia 148
35.8%
파충강(reptilia 2
 
0.5%

목
Categorical

Distinct17
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
소목
88 
매목
64 
참새목
60 
식육목
55 
올빼미목
37 
Other values (12)
109 

Length

Max length5
Median length4
Mean length2.9104116
Min length2

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
소목 88
21.3%
매목 64
15.5%
참새목 60
14.5%
식육목 55
13.3%
올빼미목 37
9.0%
기러기목 35
 
8.5%
비둘기목 34
 
8.2%
도요목 12
 
2.9%
황새목 7
 
1.7%
파랑새목 5
 
1.2%
Other values (7) 16
 
3.9%

Length

2024-01-10T06:46:00.305085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 88
21.3%
매목 64
15.5%
참새목 60
14.5%
식육목 55
13.3%
올빼미목 37
9.0%
기러기목 35
 
8.5%
비둘기목 34
 
8.2%
도요목 12
 
2.9%
황새목 7
 
1.7%
파랑새목 5
 
1.2%
Other values (7) 16
 
3.9%

과
Categorical

Distinct32
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
사슴과
88 
개과
47 
수리과
44 
올빼미과
37 
오리과
35 
Other values (27)
162 

Length

Max length9
Median length5
Mean length3.2421308
Min length2

Unique

Unique12 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 88
21.3%
개과 47
11.4%
수리과 44
10.7%
올빼미과 37
9.0%
오리과 35
 
8.5%
까마귀과 34
 
8.2%
비둘기과 34
 
8.2%
매과 20
 
4.8%
참새과 12
 
2.9%
갈매기과 9
 
2.2%
Other values (22) 53
12.8%

Length

2024-01-10T06:46:00.409041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 88
21.3%
개과 47
11.4%
수리과 44
10.7%
올빼미과 37
9.0%
오리과 35
 
8.5%
까마귀과 34
 
8.2%
비둘기과 34
 
8.2%
매과 20
 
4.8%
참새과 12
 
2.9%
갈매기과 9
 
2.2%
Other values (22) 53
12.8%

천연기념물
Categorical

IMBALANCE 

Distinct14
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
해당없음
308 
243-1
31 
324-2
 
19
323-8
 
15
324-6
 
9
Other values (9)
31 

Length

Max length5
Median length4
Mean length4.2154964
Min length3

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row327
2nd row327
3rd row327
4th row해당없음
5th row해당없음

Common Values

ValueCountFrequency (%)
해당없음 308
74.6%
243-1 31
 
7.5%
324-2 19
 
4.6%
323-8 15
 
3.6%
324-6 9
 
2.2%
324-3 7
 
1.7%
201-2 7
 
1.7%
330 5
 
1.2%
327 3
 
0.7%
323-7 3
 
0.7%
Other values (4) 6
 
1.5%

Length

2024-01-10T06:46:00.516143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 308
74.6%
243-1 31
 
7.5%
324-2 19
 
4.6%
323-8 15
 
3.6%
324-6 9
 
2.2%
324-3 7
 
1.7%
201-2 7
 
1.7%
330 5
 
1.2%
327 3
 
0.7%
323-7 3
 
0.7%
Other values (4) 6
 
1.5%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
해당없음
337 
2 급
68 
1 급
 
8

Length

Max length4
Median length4
Mean length3.8159806
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 337
81.6%
2 급 68
 
16.5%
1 급 8
 
1.9%

Length

2024-01-10T06:46:00.615656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:00.697267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 337
68.9%
급 76
 
15.5%
2 68
 
13.9%
1 8
 
1.6%

야생동물보호협약
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
해당없음
305 
부속서 2종
100 
부속서 1종
 
8

Length

Max length6
Median length4
Mean length4.5230024
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 305
73.8%
부속서 2종 100
 
24.2%
부속서 1종 8
 
1.9%

Length

2024-01-10T06:46:00.790492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:00.875530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 305
58.5%
부속서 108
 
20.7%
2종 100
 
19.2%
1종 8
 
1.5%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing412
Missing (%)99.8%
Memory size3.4 KiB
Minimum2019-06-21 00:00:00
Maximum2019-06-21 00:00:00
2024-01-10T06:46:00.943756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:46:01.012792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing412
Missing (%)99.8%
Memory size3.4 KiB
Minimum2019-06-21 00:00:00
Maximum2019-06-21 00:00:00
2024-01-10T06:46:01.103423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:46:01.202014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct299
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2018-12-29 00:00:00
Maximum2021-12-22 00:00:00
2024-01-10T06:46:01.316947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:46:01.453694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct297
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Minimum2019-01-02 00:00:00
Maximum2022-04-22 00:00:00
2024-01-10T06:46:01.586738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:46:01.727288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
방생
133 
안락사
121 
폐사
56 
DOA
51 
폐사체
49 
Other values (2)
 
3

Length

Max length3
Median length3
Mean length2.535109
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
방생 133
32.2%
안락사 121
29.3%
폐사 56
13.6%
DOA 51
 
12.3%
폐사체 49
 
11.9%
이첩 2
 
0.5%
기타 1
 
0.2%

Length

2024-01-10T06:46:01.848466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:01.963153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 133
32.2%
안락사 121
29.3%
폐사 56
13.6%
doa 51
 
12.3%
폐사체 49
 
11.9%
이첩 2
 
0.5%
기타 1
 
0.2%

이첩 방생 위치
Text

MISSING 

Distinct101
Distinct (%)74.8%
Missing278
Missing (%)67.3%
Memory size3.4 KiB
2024-01-10T06:46:02.266513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.288889
Min length8

Characters and Unicode

Total characters2874
Distinct characters135
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)59.3%

Sample

1st row충청남도 보령시 청라면 의평리 593
2nd row충청남도 보령시 청라면 의평리 593
3rd row충청남도 보령시 청라면 의평리 593
4th row충청남도 당진시 송악읍 복운리 산 34-10
5th row충청남도 아산시 송악면 외암리 595-8
ValueCountFrequency (%)
충청남도 131
 
18.8%
당진시 48
 
6.9%
산 34
 
4.9%
예산군 32
 
4.6%
서산시 19
 
2.7%
예산읍 15
 
2.2%
아산시 15
 
2.2%
부석면 13
 
1.9%
신평면 10
 
1.4%
보령시 8
 
1.2%
Other values (221) 370
53.2%
2024-01-10T06:46:02.660761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
575
20.0%
산 144
 
5.0%
도 139
 
4.8%
남 135
 
4.7%
청 135
 
4.7%
충 131
 
4.6%
리 124
 
4.3%
면 99
 
3.4%
시 97
 
3.4%
1 90
 
3.1%
Other values (125) 1205
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1771
61.6%
Space Separator 575
 
20.0%
Decimal Number 446
 
15.5%
Dash Punctuation 82
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 144
 
8.1%
도 139
 
7.8%
남 135
 
7.6%
청 135
 
7.6%
충 131
 
7.4%
리 124
 
7.0%
면 99
 
5.6%
시 97
 
5.5%
당 55
 
3.1%
예 48
 
2.7%
Other values (113) 664
37.5%
Decimal Number
ValueCountFrequency (%)
1 90
20.2%
3 72
16.1%
2 51
11.4%
5 45
10.1%
4 39
8.7%
7 37
8.3%
6 32
 
7.2%
8 32
 
7.2%
9 31
 
7.0%
0 17
 
3.8%
Space Separator
ValueCountFrequency (%)
575
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1771
61.6%
Common 1103
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 144
 
8.1%
도 139
 
7.8%
남 135
 
7.6%
청 135
 
7.6%
충 131
 
7.4%
리 124
 
7.0%
면 99
 
5.6%
시 97
 
5.5%
당 55
 
3.1%
예 48
 
2.7%
Other values (113) 664
37.5%
Common
ValueCountFrequency (%)
575
52.1%
1 90
 
8.2%
- 82
 
7.4%
3 72
 
6.5%
2 51
 
4.6%
5 45
 
4.1%
4 39
 
3.5%
7 37
 
3.4%
6 32
 
2.9%
8 32
 
2.9%
Other values (2) 48
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1771
61.6%
ASCII 1103
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
575
52.1%
1 90
 
8.2%
- 82
 
7.4%
3 72
 
6.5%
2 51
 
4.6%
5 45
 
4.1%
4 39
 
3.5%
7 37
 
3.4%
6 32
 
2.9%
8 32
 
2.9%
Other values (2) 48
 
4.4%
Hangul
ValueCountFrequency (%)
산 144
 
8.1%
도 139
 
7.8%
남 135
 
7.6%
청 135
 
7.6%
충 131
 
7.4%
리 124
 
7.0%
면 99
 
5.6%
시 97
 
5.5%
당 55
 
3.1%
예 48
 
2.7%
Other values (113) 664
37.5%

사체처리
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
기타
277 
<NA>
136 

Length

Max length4
Median length2
Mean length2.6585956
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 277
67.1%
<NA> 136
32.9%

Length

2024-01-10T06:46:02.795159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:02.917648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 277
67.1%
na 136
32.9%

동물성별
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Unknown
281 
Male
71 
Female
52 
Female(?)
 
6
Male(?)
 
3

Length

Max length9
Median length7
Mean length6.3874092
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 281
68.0%
Male 71
 
17.2%
Female 52
 
12.6%
Female(?) 6
 
1.5%
Male(?) 3
 
0.7%

Length

2024-01-10T06:46:03.027182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:03.109209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 281
68.0%
male 74
 
17.9%
female 58
 
14.0%

동물연령
Categorical

Distinct29
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
Unknown
85 
0년0월0일
84 
Juvenile
76 
Adult
62 
Nestling
40 
Other values (24)
66 

Length

Max length8
Median length7
Mean length6.6561743
Min length5

Unique

Unique13 ?
Unique (%)3.1%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 85
20.6%
0년0월0일 84
20.3%
Juvenile 76
18.4%
Adult 62
15.0%
Nestling 40
9.7%
0년11월0일 10
 
2.4%
0년9월0일 7
 
1.7%
0년6월0일 7
 
1.7%
1년0월0일 6
 
1.5%
0년7월0일 5
 
1.2%
Other values (19) 31
 
7.5%

Length

2024-01-10T06:46:03.207290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
unknown 85
20.6%
0년0월0일 84
20.3%
juvenile 76
18.4%
adult 62
15.0%
nestling 40
9.7%
0년11월0일 10
 
2.4%
0년9월0일 7
 
1.7%
0년6월0일 7
 
1.7%
1년0월0일 6
 
1.5%
0년7월0일 5
 
1.2%
Other values (19) 31
 
7.5%

구조위도
Real number (ℝ)

Distinct343
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.900455
Minimum36
Maximum37.055139
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T06:46:03.315411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36
5-th percentile36.792784
Q136.863722
median36.896722
Q336.950833
95-th percentile37.015039
Maximum37.055139
Range1.055139
Interquartile range (IQR)0.087111

Descriptive statistics

Standard deviation0.078515064
Coefficient of variation (CV)0.0021277533
Kurtosis40.832511
Mean36.900455
Median Absolute Deviation (MAD)0.044556
Skewness-3.5676278
Sum15239.888
Variance0.0061646153
MonotonicityNot monotonic
2024-01-10T06:46:03.421302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.778972 8
 
1.9%
36.931111 8
 
1.9%
36.963028 8
 
1.9%
37.046833 6
 
1.5%
36.891139 5
 
1.2%
36.828694 5
 
1.2%
36.890778 4
 
1.0%
37.032639 3
 
0.7%
36.881028 3
 
0.7%
36.896556 3
 
0.7%
Other values (333) 360
87.2%
ValueCountFrequency (%)
36.0 1
 
0.2%
36.766194 1
 
0.2%
36.772139 1
 
0.2%
36.772333 1
 
0.2%
36.773028 1
 
0.2%
36.778444 1
 
0.2%
36.778972 8
1.9%
36.779806 1
 
0.2%
36.780667 1
 
0.2%
36.782 1
 
0.2%
ValueCountFrequency (%)
37.055139 1
 
0.2%
37.053833 1
 
0.2%
37.053472 1
 
0.2%
37.051472 1
 
0.2%
37.050722 1
 
0.2%
37.046833 6
1.5%
37.043778 1
 
0.2%
37.042139 1
 
0.2%
37.038556 1
 
0.2%
37.032639 3
0.7%

구조경도
Real number (ℝ)

Distinct343
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.68819
Minimum126.44036
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T06:46:03.525192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.44036
5-th percentile126.52599
Q1126.62453
median126.68422
Q3126.76197
95-th percentile126.82028
Maximum128
Range1.559639
Interquartile range (IQR)0.137444

Descriptive statistics

Standard deviation0.11188538
Coefficient of variation (CV)0.00088315555
Kurtosis44.541929
Mean126.68819
Median Absolute Deviation (MAD)0.069861
Skewness3.7399461
Sum52322.222
Variance0.012518337
MonotonicityNot monotonic
2024-01-10T06:46:03.635061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.820278 8
 
1.9%
126.647583 8
 
1.9%
126.707444 8
 
1.9%
126.527694 6
 
1.5%
126.830167 5
 
1.2%
126.819306 5
 
1.2%
126.639361 4
 
1.0%
126.750028 3
 
0.7%
126.693056 3
 
0.7%
126.509611 3
 
0.7%
Other values (333) 360
87.2%
ValueCountFrequency (%)
126.440361 1
 
0.2%
126.450944 1
 
0.2%
126.48175 1
 
0.2%
126.482167 1
 
0.2%
126.488667 1
 
0.2%
126.494306 1
 
0.2%
126.496694 1
 
0.2%
126.496861 1
 
0.2%
126.504278 1
 
0.2%
126.509611 3
0.7%
ValueCountFrequency (%)
128.0 1
 
0.2%
126.841111 1
 
0.2%
126.839472 1
 
0.2%
126.833278 1
 
0.2%
126.830167 5
1.2%
126.826722 1
 
0.2%
126.826694 1
 
0.2%
126.826667 1
 
0.2%
126.826222 1
 
0.2%
126.825556 1
 
0.2%

구조고도
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)19.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.973366
Minimum-3
Maximum252
Zeros8
Zeros (%)1.9%
Negative5
Negative (%)1.2%
Memory size3.8 KiB
2024-01-10T06:46:03.756738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3
5-th percentile2
Q17
median18
Q334
95-th percentile65
Maximum252
Range255
Interquartile range (IQR)27

Descriptive statistics

Standard deviation27.522925
Coefficient of variation (CV)1.1020912
Kurtosis23.553839
Mean24.973366
Median Absolute Deviation (MAD)12
Skewness3.733183
Sum10314
Variance757.51142
MonotonicityNot monotonic
2024-01-10T06:46:04.074536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 20
 
4.8%
9 19
 
4.6%
2 19
 
4.6%
5 16
 
3.9%
6 15
 
3.6%
4 14
 
3.4%
18 13
 
3.1%
25 12
 
2.9%
14 11
 
2.7%
8 11
 
2.7%
Other values (72) 263
63.7%
ValueCountFrequency (%)
-3 1
 
0.2%
-2 2
 
0.5%
-1 2
 
0.5%
0 8
1.9%
1 5
 
1.2%
2 19
4.6%
3 4
 
1.0%
4 14
3.4%
5 16
3.9%
6 15
3.6%
ValueCountFrequency (%)
252 2
0.5%
152 1
0.2%
135 1
0.2%
125 2
0.5%
107 1
0.2%
106 1
0.2%
93 1
0.2%
88 1
0.2%
87 1
0.2%
85 1
0.2%

방생위도
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)74.4%
Missing280
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean36.729357
Minimum36.126273
Maximum36.984981
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T06:46:04.182567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.126273
5-th percentile36.397492
Q136.66023
median36.737722
Q336.85705
95-th percentile36.913873
Maximum36.984981
Range0.85870748
Interquartile range (IQR)0.19682088

Descriptive statistics

Standard deviation0.1598165
Coefficient of variation (CV)0.0043511924
Kurtosis1.7379028
Mean36.729357
Median Absolute Deviation (MAD)0.10582575
Skewness-1.1304245
Sum4885.0045
Variance0.025541313
MonotonicityNot monotonic
2024-01-10T06:46:04.287103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.78111471 6
 
1.5%
36.67008139 4
 
1.0%
36.68985894 4
 
1.0%
36.90878408 3
 
0.7%
36.89324833 3
 
0.7%
36.85705039 3
 
0.7%
36.42413932 3
 
0.7%
36.38986495 3
 
0.7%
36.85803491 2
 
0.5%
36.66022951 2
 
0.5%
Other values (89) 100
 
24.2%
(Missing) 280
67.8%
ValueCountFrequency (%)
36.12627336 1
 
0.2%
36.16799571 1
 
0.2%
36.34838035 1
 
0.2%
36.38541825 1
 
0.2%
36.38986495 3
0.7%
36.40257587 1
 
0.2%
36.42413932 3
0.7%
36.46109385 1
 
0.2%
36.46990627 1
 
0.2%
36.53100102 1
 
0.2%
ValueCountFrequency (%)
36.98498084 1
 
0.2%
36.96365373 1
 
0.2%
36.94150811 1
 
0.2%
36.93891112 1
 
0.2%
36.93115068 1
 
0.2%
36.91700003 1
 
0.2%
36.91387722 1
 
0.2%
36.91387003 2
0.5%
36.90878408 3
0.7%
36.90770508 1
 
0.2%

방생경도
Real number (ℝ)

MISSING 

Distinct99
Distinct (%)74.4%
Missing280
Missing (%)67.8%
Infinite0
Infinite (%)0.0%
Mean126.72609
Minimum126.3088
Maximum127.49718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T06:46:04.391880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3088
5-th percentile126.39969
Q1126.62148
median126.73139
Q3126.85373
95-th percentile127.00774
Maximum127.49718
Range1.188386
Interquartile range (IQR)0.2322456

Descriptive statistics

Standard deviation0.1938126
Coefficient of variation (CV)0.0015293819
Kurtosis2.1891539
Mean126.72609
Median Absolute Deviation (MAD)0.1223403
Skewness0.55596144
Sum16854.57
Variance0.037563323
MonotonicityNot monotonic
2024-01-10T06:46:04.500489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8537273 6
 
1.5%
126.8596661 4
 
1.0%
126.861433 4
 
1.0%
126.5927433 3
 
0.7%
126.8160224 3
 
0.7%
126.6823732 3
 
0.7%
126.5181604 3
 
0.7%
126.6493807 3
 
0.7%
126.5261907 2
 
0.5%
126.812534 2
 
0.5%
Other values (89) 100
 
24.2%
(Missing) 280
67.8%
ValueCountFrequency (%)
126.3087961 1
0.2%
126.3781078 1
0.2%
126.3826569 1
0.2%
126.3897803 1
0.2%
126.3940879 1
0.2%
126.3982345 2
0.5%
126.4006562 1
0.2%
126.4172529 1
0.2%
126.4189611 1
0.2%
126.4218232 1
0.2%
ValueCountFrequency (%)
127.4971821 1
0.2%
127.4371773 1
0.2%
127.2167361 1
0.2%
127.0427095 1
0.2%
127.0359631 1
0.2%
127.0296688 1
0.2%
127.0077424 2
0.5%
126.9804398 1
0.2%
126.9664151 1
0.2%
126.9510594 1
0.2%

발견장소상세
Text

MISSING 

Distinct265
Distinct (%)73.2%
Missing51
Missing (%)12.3%
Memory size3.4 KiB
2024-01-10T06:46:04.705078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22.5
Mean length8.4033149
Min length1

Characters and Unicode

Total characters3042
Distinct characters316
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

Unique239 ?
Unique (%)66.0%

Sample

1st row해당 주소지 건물 옥상
2nd row해당 주소지 건물 옥상
3rd row해당 주소지 건물 옥상
4th row참이슬밥상
5th row참이슬밥상
ValueCountFrequency (%)
주소지 54
 
6.2%
부근 48
 
5.5%
도로변 38
 
4.4%
옆 28
 
3.2%
도로 25
 
2.9%
앞 25
 
2.9%
건물 22
 
2.5%
내 20
 
2.3%
농경지 16
 
1.8%
논 13
 
1.5%
Other values (339) 578
66.7%
2024-01-10T06:46:05.027858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
518
 
17.0%
로 114
 
3.7%
지 101
 
3.3%
주 81
 
2.7%
도 80
 
2.6%
소 78
 
2.6%
부 70
 
2.3%
근 64
 
2.1%
변 55
 
1.8%
장 42
 
1.4%
Other values (306) 1839
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2314
76.1%
Space Separator 518
 
17.0%
Decimal Number 126
 
4.1%
Uppercase Letter 25
 
0.8%
Close Punctuation 24
 
0.8%
Open Punctuation 24
 
0.8%
Dash Punctuation 6
 
0.2%
Lowercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 114
 
4.9%
지 101
 
4.4%
주 81
 
3.5%
도 80
 
3.5%
소 78
 
3.4%
부 70
 
3.0%
근 64
 
2.8%
변 55
 
2.4%
장 42
 
1.8%
내 41
 
1.8%
Other values (276) 1588
68.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
24.0%
P 5
20.0%
K 3
12.0%
S 2
 
8.0%
G 2
 
8.0%
L 2
 
8.0%
A 1
 
4.0%
I 1
 
4.0%
H 1
 
4.0%
M 1
 
4.0%
Decimal Number
ValueCountFrequency (%)
1 40
31.7%
3 16
 
12.7%
4 13
 
10.3%
2 13
 
10.3%
0 10
 
7.9%
8 10
 
7.9%
7 9
 
7.1%
5 7
 
5.6%
9 6
 
4.8%
6 2
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
k 1
25.0%
s 1
25.0%
i 1
25.0%
c 1
25.0%
Space Separator
ValueCountFrequency (%)
518
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2314
76.1%
Common 699
 
23.0%
Latin 29
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 114
 
4.9%
지 101
 
4.4%
주 81
 
3.5%
도 80
 
3.5%
소 78
 
3.4%
부 70
 
3.0%
근 64
 
2.8%
변 55
 
2.4%
장 42
 
1.8%
내 41
 
1.8%
Other values (276) 1588
68.6%
Common
ValueCountFrequency (%)
518
74.1%
1 40
 
5.7%
) 24
 
3.4%
( 24
 
3.4%
3 16
 
2.3%
4 13
 
1.9%
2 13
 
1.9%
0 10
 
1.4%
8 10
 
1.4%
7 9
 
1.3%
Other values (5) 22
 
3.1%
Latin
ValueCountFrequency (%)
C 6
20.7%
P 5
17.2%
K 3
10.3%
S 2
 
6.9%
G 2
 
6.9%
L 2
 
6.9%
A 1
 
3.4%
I 1
 
3.4%
k 1
 
3.4%
s 1
 
3.4%
Other values (5) 5
17.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2314
76.1%
ASCII 728
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
518
71.2%
1 40
 
5.5%
) 24
 
3.3%
( 24
 
3.3%
3 16
 
2.2%
4 13
 
1.8%
2 13
 
1.8%
0 10
 
1.4%
8 10
 
1.4%
7 9
 
1.2%
Other values (20) 51
 
7.0%
Hangul
ValueCountFrequency (%)
로 114
 
4.9%
지 101
 
4.4%
주 81
 
3.5%
도 80
 
3.5%
소 78
 
3.4%
부 70
 
3.0%
근 64
 
2.8%
변 55
 
2.4%
장 42
 
1.8%
내 41
 
1.8%
Other values (276) 1588
68.6%

발견주소
Text

Distinct347
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T06:46:05.269804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length20.905569
Min length15

Characters and Unicode

Total characters8634
Distinct characters148
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique319 ?
Unique (%)77.2%

Sample

1st row충청남도 당진시 읍내동 25-5
2nd row충청남도 당진시 읍내동 25-5
3rd row충청남도 당진시 읍내동 25-5
4th row충청남도 당진시 송악읍 고대리 39-12
5th row충청남도 당진시 송악읍 고대리 39-12
ValueCountFrequency (%)
충청남도 413
20.7%
당진시 413
20.7%
송악읍 64
 
3.2%
신평면 57
 
2.9%
석문면 40
 
2.0%
송산면 40
 
2.0%
합덕읍 39
 
2.0%
읍내동 22
 
1.1%
고대면 18
 
0.9%
고대리 18
 
0.9%
Other values (470) 871
43.7%
2024-01-10T06:46:05.611534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1595
18.5%
당 434
 
5.0%
시 433
 
5.0%
진 430
 
5.0%
도 424
 
4.9%
청 418
 
4.8%
남 418
 
4.8%
충 413
 
4.8%
리 311
 
3.6%
1 294
 
3.4%
Other values (138) 3464
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5195
60.2%
Space Separator 1595
 
18.5%
Decimal Number 1561
 
18.1%
Dash Punctuation 281
 
3.3%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 434
 
8.4%
시 433
 
8.3%
진 430
 
8.3%
도 424
 
8.2%
청 418
 
8.0%
남 418
 
8.0%
충 413
 
7.9%
리 311
 
6.0%
면 243
 
4.7%
읍 125
 
2.4%
Other values (124) 1546
29.8%
Decimal Number
ValueCountFrequency (%)
1 294
18.8%
2 215
13.8%
3 186
11.9%
5 162
10.4%
4 139
8.9%
8 125
8.0%
7 121
7.8%
6 118
7.6%
9 108
 
6.9%
0 93
 
6.0%
Space Separator
ValueCountFrequency (%)
1595
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5195
60.2%
Common 3439
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 434
 
8.4%
시 433
 
8.3%
진 430
 
8.3%
도 424
 
8.2%
청 418
 
8.0%
남 418
 
8.0%
충 413
 
7.9%
리 311
 
6.0%
면 243
 
4.7%
읍 125
 
2.4%
Other values (124) 1546
29.8%
Common
ValueCountFrequency (%)
1595
46.4%
1 294
 
8.5%
- 281
 
8.2%
2 215
 
6.3%
3 186
 
5.4%
5 162
 
4.7%
4 139
 
4.0%
8 125
 
3.6%
7 121
 
3.5%
6 118
 
3.4%
Other values (4) 203
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5195
60.2%
ASCII 3439
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1595
46.4%
1 294
 
8.5%
- 281
 
8.2%
2 215
 
6.3%
3 186
 
5.4%
5 162
 
4.7%
4 139
 
4.0%
8 125
 
3.6%
7 121
 
3.5%
6 118
 
3.4%
Other values (4) 203
 
5.9%
Hangul
ValueCountFrequency (%)
당 434
 
8.4%
시 433
 
8.3%
진 430
 
8.3%
도 424
 
8.2%
청 418
 
8.0%
남 418
 
8.0%
충 413
 
7.9%
리 311
 
6.0%
면 243
 
4.7%
읍 125
 
2.4%
Other values (124) 1546
29.8%

발견장소특징
Categorical

Distinct6
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
건물옆
160 
도로변
109 
농경지
67 
기타
43 
강, 바다
17 

Length

Max length5
Median length3
Mean length2.8958838
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 160
38.7%
도로변 109
26.4%
농경지 67
16.2%
기타 43
 
10.4%
강, 바다 17
 
4.1%
숲 17
 
4.1%

Length

2024-01-10T06:46:05.726779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:46:05.829298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 160
37.2%
도로변 109
25.3%
농경지 67
15.6%
기타 43
 
10.0%
강 17
 
4.0%
바다 17
 
4.0%
숲 17
 
4.0%

발생원인
Categorical

Distinct20
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
차량과의 충돌
86 
전선/건물과의 충돌
78 
어미를 잃음(미아)
77 
인공구조물 침입·고립
30 
기생충 중감염
24 
Other values (15)
118 

Length

Max length11
Median length10
Mean length8.4673123
Min length1

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row어미를 잃음(미아)
2nd row어미를 잃음(미아)
3rd row어미를 잃음(미아)
4th row어미를 잃음(미아)
5th row어미를 잃음(미아)

Common Values

ValueCountFrequency (%)
차량과의 충돌 86
20.8%
전선/건물과의 충돌 78
18.9%
어미를 잃음(미아) 77
18.6%
인공구조물 침입·고립 30
 
7.3%
기생충 중감염 24
 
5.8%
중독사고(농약) 23
 
5.6%
알 수 없는 사고 21
 
5.1%
기아 및 탈진 20
 
4.8%
농수로 고립 10
 
2.4%
바이러스 감염 10
 
2.4%
Other values (10) 34
 
8.2%

Length

2024-01-10T06:46:05.926492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 164
19.1%
차량과의 86
 
10.0%
전선/건물과의 78
 
9.1%
어미를 77
 
9.0%
잃음(미아 77
 
9.0%
인공구조물 30
 
3.5%
침입·고립 30
 
3.5%
사고 24
 
2.8%
기생충 24
 
2.8%
중감염 24
 
2.8%
Other values (25) 245
28.5%

발생원인 세부사항
Text

MISSING 

Distinct181
Distinct (%)45.6%
Missing16
Missing (%)3.9%
Memory size3.4 KiB
2024-01-10T06:46:06.120953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length39
Mean length10.992443
Min length2

Characters and Unicode

Total characters4364
Distinct characters256
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique127 ?
Unique (%)32.0%

Sample

1st row미아
2nd row미아
3rd row미아
4th row어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨
5th row어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨
ValueCountFrequency (%)
충돌 119
 
10.4%
추정 96
 
8.4%
차량과의 48
 
4.2%
고립 35
 
3.1%
어미를 33
 
2.9%
잃음(미아 28
 
2.4%
미아 27
 
2.4%
차량충돌 26
 
2.3%
인공구조물 20
 
1.7%
및 19
 
1.7%
Other values (261) 695
60.6%
2024-01-10T06:46:06.433470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
770
 
17.6%
충 203
 
4.7%
돌 164
 
3.8%
정 111
 
2.5%
추 110
 
2.5%
고 94
 
2.2%
미 93
 
2.1%
차 84
 
1.9%
량 84
 
1.9%
물 79
 
1.8%
Other values (246) 2572
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3314
75.9%
Space Separator 770
 
17.6%
Other Punctuation 114
 
2.6%
Close Punctuation 56
 
1.3%
Open Punctuation 56
 
1.3%
Decimal Number 39
 
0.9%
Lowercase Letter 12
 
0.3%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 203
 
6.1%
돌 164
 
4.9%
정 111
 
3.3%
추 110
 
3.3%
고 94
 
2.8%
미 93
 
2.8%
차 84
 
2.5%
량 84
 
2.5%
물 79
 
2.4%
과 75
 
2.3%
Other values (221) 2217
66.9%
Lowercase Letter
ValueCountFrequency (%)
s 3
25.0%
c 2
16.7%
m 1
 
8.3%
a 1
 
8.3%
i 1
 
8.3%
t 1
 
8.3%
y 1
 
8.3%
o 1
 
8.3%
r 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
/ 75
65.8%
, 19
 
16.7%
? 9
 
7.9%
· 7
 
6.1%
. 3
 
2.6%
' 1
 
0.9%
Decimal Number
ValueCountFrequency (%)
1 13
33.3%
8 10
25.6%
2 6
15.4%
9 5
 
12.8%
3 3
 
7.7%
0 2
 
5.1%
Space Separator
ValueCountFrequency (%)
770
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3314
75.9%
Common 1038
 
23.8%
Latin 12
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 203
 
6.1%
돌 164
 
4.9%
정 111
 
3.3%
추 110
 
3.3%
고 94
 
2.8%
미 93
 
2.8%
차 84
 
2.5%
량 84
 
2.5%
물 79
 
2.4%
과 75
 
2.3%
Other values (221) 2217
66.9%
Common
ValueCountFrequency (%)
770
74.2%
/ 75
 
7.2%
) 56
 
5.4%
( 56
 
5.4%
, 19
 
1.8%
1 13
 
1.3%
8 10
 
1.0%
? 9
 
0.9%
· 7
 
0.7%
2 6
 
0.6%
Other values (6) 17
 
1.6%
Latin
ValueCountFrequency (%)
s 3
25.0%
c 2
16.7%
m 1
 
8.3%
a 1
 
8.3%
i 1
 
8.3%
t 1
 
8.3%
y 1
 
8.3%
o 1
 
8.3%
r 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3314
75.9%
ASCII 1043
 
23.9%
None 7
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
770
73.8%
/ 75
 
7.2%
) 56
 
5.4%
( 56
 
5.4%
, 19
 
1.8%
1 13
 
1.2%
8 10
 
1.0%
? 9
 
0.9%
2 6
 
0.6%
9 5
 
0.5%
Other values (14) 24
 
2.3%
Hangul
ValueCountFrequency (%)
충 203
 
6.1%
돌 164
 
4.9%
정 111
 
3.3%
추 110
 
3.3%
고 94
 
2.8%
미 93
 
2.8%
차 84
 
2.5%
량 84
 
2.5%
물 79
 
2.4%
과 75
 
2.3%
Other values (221) 2217
66.9%
None
ValueCountFrequency (%)
· 7
100.0%

구조위도(TM구조위도)
Text

Distinct343
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T06:46:06.715628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters4130
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

Unique310 ?
Unique (%)75.1%

Sample

1st row36 53 47.6
2nd row36 53 47.6
3rd row36 53 47.6
4th row36 58 29.1
5th row36 58 29.1
ValueCountFrequency (%)
36 388
31.3%
53 72
 
5.8%
54 44
 
3.6%
52 39
 
3.1%
57 34
 
2.7%
55 30
 
2.4%
58 30
 
2.4%
37 25
 
2.0%
49 22
 
1.8%
50 19
 
1.5%
Other values (270) 536
43.3%
2024-01-10T06:46:07.091948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
826
20.0%
3 642
15.5%
6 506
12.3%
5 490
11.9%
. 413
10.0%
4 284
 
6.9%
2 211
 
5.1%
0 183
 
4.4%
1 157
 
3.8%
7 152
 
3.7%
Other values (2) 266
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2891
70.0%
Space Separator 826
 
20.0%
Other Punctuation 413
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 642
22.2%
6 506
17.5%
5 490
16.9%
4 284
9.8%
2 211
 
7.3%
0 183
 
6.3%
1 157
 
5.4%
7 152
 
5.3%
8 151
 
5.2%
9 115
 
4.0%
Space Separator
ValueCountFrequency (%)
826
100.0%
Other Punctuation
ValueCountFrequency (%)
. 413
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4130
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
826
20.0%
3 642
15.5%
6 506
12.3%
5 490
11.9%
. 413
10.0%
4 284
 
6.9%
2 211
 
5.1%
0 183
 
4.4%
1 157
 
3.8%
7 152
 
3.7%
Other values (2) 266
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4130
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
826
20.0%
3 642
15.5%
6 506
12.3%
5 490
11.9%
. 413
10.0%
4 284
 
6.9%
2 211
 
5.1%
0 183
 
4.4%
1 157
 
3.8%
7 152
 
3.7%
Other values (2) 266
 
6.4%

구조경도(TM구조경도)
Text

Distinct343
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size3.4 KiB
2024-01-10T06:46:07.395800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters4543
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

Unique310 ?
Unique (%)75.1%

Sample

1st row126 38 06.8
2nd row126 38 06.8
3rd row126 38 06.8
4th row126 45 00.1
5th row126 45 00.1
ValueCountFrequency (%)
126 412
33.3%
38 46
 
3.7%
49 32
 
2.6%
45 31
 
2.5%
46 29
 
2.3%
42 24
 
1.9%
37 23
 
1.9%
41 22
 
1.8%
40 22
 
1.8%
35 21
 
1.7%
Other values (284) 577
46.6%
2024-01-10T06:46:07.776386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
826
18.2%
1 596
13.1%
2 593
13.1%
6 550
12.1%
. 413
9.1%
4 391
8.6%
3 369
8.1%
5 197
 
4.3%
0 188
 
4.1%
8 169
 
3.7%
Other values (2) 251
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3304
72.7%
Space Separator 826
 
18.2%
Other Punctuation 413
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 596
18.0%
2 593
17.9%
6 550
16.6%
4 391
11.8%
3 369
11.2%
5 197
 
6.0%
0 188
 
5.7%
8 169
 
5.1%
7 131
 
4.0%
9 120
 
3.6%
Space Separator
ValueCountFrequency (%)
826
100.0%
Other Punctuation
ValueCountFrequency (%)
. 413
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4543
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
826
18.2%
1 596
13.1%
2 593
13.1%
6 550
12.1%
. 413
9.1%
4 391
8.6%
3 369
8.1%
5 197
 
4.3%
0 188
 
4.1%
8 169
 
3.7%
Other values (2) 251
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4543
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
826
18.2%
1 596
13.1%
2 593
13.1%
6 550
12.1%
. 413
9.1%
4 391
8.6%
3 369
8.1%
5 197
 
4.3%
0 188
 
4.1%
8 169
 
3.7%
Other values (2) 251
 
5.5%

방생위도(TM방생위도)
Text

MISSING 

Distinct103
Distinct (%)77.4%
Missing280
Missing (%)67.8%
Memory size3.4 KiB
2024-01-10T06:46:08.012674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1330
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

Unique83 ?
Unique (%)62.4%

Sample

1st row36 23 23.5
2nd row36 23 23.5
3rd row36 23 23.8
4th row36 56 19.9
5th row36 44 17.6
ValueCountFrequency (%)
36 134
33.6%
46 12
 
3.0%
54 12
 
3.0%
40 11
 
2.8%
51 9
 
2.3%
37 9
 
2.3%
41 8
 
2.0%
51.5 7
 
1.8%
53 6
 
1.5%
39 6
 
1.5%
Other values (123) 185
46.4%
2024-01-10T06:46:08.338849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
20.0%
3 203
15.3%
6 179
13.5%
. 133
10.0%
4 109
8.2%
5 102
 
7.7%
1 87
 
6.5%
2 73
 
5.5%
0 55
 
4.1%
8 43
 
3.2%
Other values (2) 80
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 931
70.0%
Space Separator 266
 
20.0%
Other Punctuation 133
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 203
21.8%
6 179
19.2%
4 109
11.7%
5 102
11.0%
1 87
9.3%
2 73
 
7.8%
0 55
 
5.9%
8 43
 
4.6%
7 41
 
4.4%
9 39
 
4.2%
Space Separator
ValueCountFrequency (%)
266
100.0%
Other Punctuation
ValueCountFrequency (%)
. 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1330
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
266
20.0%
3 203
15.3%
6 179
13.5%
. 133
10.0%
4 109
8.2%
5 102
 
7.7%
1 87
 
6.5%
2 73
 
5.5%
0 55
 
4.1%
8 43
 
3.2%
Other values (2) 80
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1330
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
20.0%
3 203
15.3%
6 179
13.5%
. 133
10.0%
4 109
8.2%
5 102
 
7.7%
1 87
 
6.5%
2 73
 
5.5%
0 55
 
4.1%
8 43
 
3.2%
Other values (2) 80
 
6.0%

방생경도(TM방생경도)
Text

MISSING 

Distinct104
Distinct (%)78.2%
Missing280
Missing (%)67.8%
Memory size3.4 KiB
2024-01-10T06:46:08.572532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters1463
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

Unique85 ?
Unique (%)63.9%

Sample

1st row126 38 57.5
2nd row126 38 57.5
3rd row126 38 56.6
4th row126 46 02.4
5th row127 00 28.7
ValueCountFrequency (%)
126 125
31.3%
51 22
 
5.5%
40 10
 
2.5%
127 8
 
2.0%
49 8
 
2.0%
25 7
 
1.8%
14.1 6
 
1.5%
38 6
 
1.5%
43 6
 
1.5%
48 6
 
1.5%
Other values (123) 195
48.9%
2024-01-10T06:46:08.888716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
266
18.2%
1 219
15.0%
2 205
14.0%
6 171
11.7%
. 133
9.1%
5 105
 
7.2%
4 103
 
7.0%
3 80
 
5.5%
0 65
 
4.4%
7 46
 
3.1%
Other values (2) 70
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1064
72.7%
Space Separator 266
 
18.2%
Other Punctuation 133
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 219
20.6%
2 205
19.3%
6 171
16.1%
5 105
9.9%
4 103
9.7%
3 80
 
7.5%
0 65
 
6.1%
7 46
 
4.3%
9 37
 
3.5%
8 33
 
3.1%
Space Separator
ValueCountFrequency (%)
266
100.0%
Other Punctuation
ValueCountFrequency (%)
. 133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1463
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
266
18.2%
1 219
15.0%
2 205
14.0%
6 171
11.7%
. 133
9.1%
5 105
 
7.2%
4 103
 
7.0%
3 80
 
5.5%
0 65
 
4.4%
7 46
 
3.1%
Other values (2) 70
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1463
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
266
18.2%
1 219
15.0%
2 205
14.0%
6 171
11.7%
. 133
9.1%
5 105
 
7.2%
4 103
 
7.0%
3 80
 
5.5%
0 65
 
4.4%
7 46
 
3.1%
Other values (2) 70
 
4.8%

등록체중
Real number (ℝ)

ZEROS 

Distinct287
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3465.1114
Minimum0
Maximum20240
Zeros50
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T06:46:09.010717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q168
median276
Q35300
95-th percentile15288
Maximum20240
Range20240
Interquartile range (IQR)5232

Descriptive statistics

Standard deviation5294.0966
Coefficient of variation (CV)1.5278287
Kurtosis0.67696831
Mean3465.1114
Median Absolute Deviation (MAD)276
Skewness1.4484511
Sum1431091
Variance28027459
MonotonicityNot monotonic
2024-01-10T06:46:09.156103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 50
 
12.1%
24 5
 
1.2%
22 4
 
1.0%
120 4
 
1.0%
11 4
 
1.0%
216 4
 
1.0%
80 4
 
1.0%
196 4
 
1.0%
30 4
 
1.0%
14 3
 
0.7%
Other values (277) 327
79.2%
ValueCountFrequency (%)
0 50
12.1%
4 2
 
0.5%
7 3
 
0.7%
8 1
 
0.2%
9 1
 
0.2%
10 2
 
0.5%
11 4
 
1.0%
13 1
 
0.2%
14 3
 
0.7%
15 2
 
0.5%
ValueCountFrequency (%)
20240 1
0.2%
18640 1
0.2%
17640 1
0.2%
17560 1
0.2%
17180 1
0.2%
17120 1
0.2%
17080 1
0.2%
16900 1
0.2%
16800 1
0.2%
16580 1
0.2%

현재체중
Real number (ℝ)

ZEROS 

Distinct287
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3474.7167
Minimum0
Maximum20240
Zeros52
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size3.8 KiB
2024-01-10T06:46:09.262643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q175
median304
Q35240
95-th percentile15160
Maximum20240
Range20240
Interquartile range (IQR)5165

Descriptive statistics

Standard deviation5196.8254
Coefficient of variation (CV)1.4956112
Kurtosis0.71326821
Mean3474.7167
Median Absolute Deviation (MAD)304
Skewness1.4431452
Sum1435058
Variance27006994
MonotonicityNot monotonic
2024-01-10T06:46:09.372732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
12.6%
24 5
 
1.2%
22 4
 
1.0%
70 4
 
1.0%
196 4
 
1.0%
210 3
 
0.7%
8880 3
 
0.7%
120 3
 
0.7%
10 3
 
0.7%
11 3
 
0.7%
Other values (277) 329
79.7%
ValueCountFrequency (%)
0 52
12.6%
4 2
 
0.5%
7 2
 
0.5%
8 2
 
0.5%
9 1
 
0.2%
10 3
 
0.7%
11 3
 
0.7%
12 2
 
0.5%
13 1
 
0.2%
14 1
 
0.2%
ValueCountFrequency (%)
20240 1
0.2%
18640 1
0.2%
17640 1
0.2%
17560 1
0.2%
17180 1
0.2%
17080 1
0.2%
16900 1
0.2%
16800 1
0.2%
16580 1
0.2%
16360 1
0.2%

임상적최종진단
Text

Distinct273
Distinct (%)66.6%
Missing3
Missing (%)0.7%
Memory size3.4 KiB
2024-01-10T06:46:09.611101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length34
Mean length12.739024
Min length2

Characters and Unicode

Total characters5223
Distinct characters286
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique236 ?
Unique (%)57.6%

Sample

1st row미아
2nd row미아
3rd row미아
4th row미아
5th row미아
ValueCountFrequency (%)
의한 83
 
5.5%
및 79
 
5.2%
미아 76
 
5.0%
충돌에 62
 
4.1%
좌측 60
 
3.9%
골절 57
 
3.8%
우측 39
 
2.6%
개방골절 33
 
2.2%
뇌진탕 31
 
2.0%
단순 24
 
1.6%
Other values (344) 975
64.2%
2024-01-10T06:46:09.956980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1117
 
21.4%
골 231
 
4.4%
절 154
 
2.9%
한 125
 
2.4%
측 118
 
2.3%
충 111
 
2.1%
개 98
 
1.9%
의 98
 
1.9%
에 95
 
1.8%
아 92
 
1.8%
Other values (276) 2984
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3807
72.9%
Space Separator 1117
 
21.4%
Other Punctuation 82
 
1.6%
Lowercase Letter 66
 
1.3%
Uppercase Letter 47
 
0.9%
Decimal Number 41
 
0.8%
Open Punctuation 30
 
0.6%
Close Punctuation 30
 
0.6%
Math Symbol 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 231
 
6.1%
절 154
 
4.0%
한 125
 
3.3%
측 118
 
3.1%
충 111
 
2.9%
개 98
 
2.6%
의 98
 
2.6%
에 95
 
2.5%
아 92
 
2.4%
상 89
 
2.3%
Other values (234) 2596
68.2%
Lowercase Letter
ValueCountFrequency (%)
t 9
13.6%
a 8
12.1%
o 6
9.1%
r 5
 
7.6%
n 5
 
7.6%
i 5
 
7.6%
u 4
 
6.1%
s 4
 
6.1%
l 4
 
6.1%
e 3
 
4.5%
Other values (9) 13
19.7%
Uppercase Letter
ValueCountFrequency (%)
L 24
51.1%
T 5
 
10.6%
H 5
 
10.6%
B 5
 
10.6%
C 5
 
10.6%
I 1
 
2.1%
A 1
 
2.1%
R 1
 
2.1%
Decimal Number
ValueCountFrequency (%)
2 14
34.1%
5 9
22.0%
3 6
14.6%
4 4
 
9.8%
6 4
 
9.8%
1 4
 
9.8%
Other Punctuation
ValueCountFrequency (%)
, 49
59.8%
/ 25
30.5%
. 5
 
6.1%
? 3
 
3.7%
Space Separator
ValueCountFrequency (%)
1117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3807
72.9%
Common 1303
 
24.9%
Latin 113
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 231
 
6.1%
절 154
 
4.0%
한 125
 
3.3%
측 118
 
3.1%
충 111
 
2.9%
개 98
 
2.6%
의 98
 
2.6%
에 95
 
2.5%
아 92
 
2.4%
상 89
 
2.3%
Other values (234) 2596
68.2%
Latin
ValueCountFrequency (%)
L 24
21.2%
t 9
 
8.0%
a 8
 
7.1%
o 6
 
5.3%
r 5
 
4.4%
T 5
 
4.4%
H 5
 
4.4%
B 5
 
4.4%
C 5
 
4.4%
n 5
 
4.4%
Other values (17) 36
31.9%
Common
ValueCountFrequency (%)
1117
85.7%
, 49
 
3.8%
( 30
 
2.3%
) 30
 
2.3%
/ 25
 
1.9%
2 14
 
1.1%
5 9
 
0.7%
3 6
 
0.5%
. 5
 
0.4%
4 4
 
0.3%
Other values (5) 14
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3807
72.9%
ASCII 1416
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1117
78.9%
, 49
 
3.5%
( 30
 
2.1%
) 30
 
2.1%
/ 25
 
1.8%
L 24
 
1.7%
2 14
 
1.0%
5 9
 
0.6%
t 9
 
0.6%
a 8
 
0.6%
Other values (32) 101
 
7.1%
Hangul
ValueCountFrequency (%)
골 231
 
6.1%
절 154
 
4.0%
한 125
 
3.3%
측 118
 
3.1%
충 111
 
2.9%
개 98
 
2.6%
의 98
 
2.6%
에 95
 
2.5%
아 92
 
2.4%
상 89
 
2.3%
Other values (234) 2596
68.2%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0843원앙조강(Aves)기러기목오리과327해당없음해당없음2019-06-212019-06-212019-06-212019-06-24폐사<NA>기타UnknownJuvenile36.896556126.63522233<NA><NA>해당 주소지 건물 옥상충청남도 당진시 읍내동 25-5기타어미를 잃음(미아)미아36 53 47.6126 38 06.8<NA><NA>2222미아
12019-0844원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-06-212019-06-24폐사<NA>기타UnknownJuvenile36.896556126.63522233<NA><NA>해당 주소지 건물 옥상충청남도 당진시 읍내동 25-5기타어미를 잃음(미아)미아36 53 47.6126 38 06.8<NA><NA>2222미아
22019-0845원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-06-212019-06-23폐사<NA>기타UnknownJuvenile36.896556126.63522233<NA><NA>해당 주소지 건물 옥상충청남도 당진시 읍내동 25-5기타어미를 잃음(미아)미아36 53 47.6126 38 06.8<NA><NA>2222미아
32019-1249흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-08-012019-10-09방생충청남도 보령시 청라면 의평리 593<NA>UnknownJuvenile36.97475126.7500281336.389865126.649381참이슬밥상충청남도 당진시 송악읍 고대리 39-12건물옆어미를 잃음(미아)어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨36 58 29.1126 45 00.136 23 23.5126 38 57.5301008미아
42019-1250흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-08-012019-10-09방생충청남도 보령시 청라면 의평리 593<NA>UnknownJuvenile36.97475126.7500281336.389865126.649381참이슬밥상충청남도 당진시 송악읍 고대리 39-12건물옆어미를 잃음(미아)어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨36 58 29.1126 45 00.136 23 23.5126 38 57.5301008미아
52019-1251흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음<NA><NA>2019-08-012019-10-09방생충청남도 보령시 청라면 의평리 593<NA>UnknownJuvenile36.97475126.7500281336.389865126.649381참이슬밥상충청남도 당진시 송악읍 고대리 39-12건물옆어미를 잃음(미아)어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨36 58 29.1126 45 00.136 23 23.8126 38 56.6301008미아
62019-0761꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-06-132019-06-14안락사<NA>기타UnknownJuvenile36.984556126.58628<NA><NA><NA>충청남도 당진시 석문면 통정리 621-14도로변차량과의 충돌차량충돌 추정, 도로 중앙선에서 발견됨36 59 04.4126 35 09.6<NA><NA>10498척추 골절
72019-0762꿩조강(Aves)닭목꿩과해당없음해당없음해당없음<NA><NA>2019-06-132019-06-14안락사<NA>기타UnknownJuvenile36.985583126.58566738<NA><NA><NA>충청남도 당진시 석문면 통정리 621-14농경지차량과의 충돌차량충돌 추정, 도로 중앙선에서 발견됨36 59 08.1126 35 08.4<NA><NA>7070척추 골절
82019-1313괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-08-182019-08-19DOA<NA>기타UnknownJuvenile36.889583126.8267221<NA><NA>해변 공원 내충청남도 당진시 신평면 운정리 187-16도로변기아 및 탈진기아 및 탈진36 53 22.5126 49 36.2<NA><NA>270270기아 및 탈진
92019-1506큰재갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음<NA><NA>2019-10-122019-10-12DOA<NA>기타UnknownJuvenile36.879126.8244728<NA><NA>주소지 부근 실외 야구연습장충청남도 당진시 신평면 운정리 822강, 바다전선/건물과의 충돌인공구조물(그물망)에 충돌36 52 44.4126 49 28.1<NA><NA>898898충돌에 의한 뇌진탕
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
4032021-1897너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-152021-11-15안락사<NA>기타Unknown0년0월0일36.863722126.75355629<NA><NA>과수원앞충청남도 당진시 신평면 예전길 61농경지기생충 중감염기생충 중감염/개선충 중감염36 51 49.4126 45 12.8<NA><NA>29002900기생충 중감염 및 심한 승저증
4042021-1903너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-162021-11-20폐사<NA>기타Unknown0년0월0일36.961722126.6285<NA><NA>공장안충청남도 당진시 석문면 삼화리 179-4건물옆기생충 중감염기생충 중감염//개선충 중감염36 57 42.2126 37 40.8<NA><NA>42604260개선충 중감염
4052021-1937너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-232021-11-26폐사<NA>기타Female0년0월0일36.893222126.64158344<NA><NA>고양이 집충청남도 당진시 읍내동 38건물옆기생충 중감염기생충 중감염/개선충36 53 35.6126 38 29.7<NA><NA>39603800개선충 중감염, 좌측 앞다리 심한 농주머니
4062021-2024너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-132022-04-22방생충청남도 청양군 남양면 신왕리 658-2<NA>Male0년0월0일36.879361126.7517781336.402576126.72588거산모터스 뒤뜰충청남도 당진시 신평면 덕평로 1396건물옆기생충 중감염기생충 중감염/개선충36 52 45.7126 45 06.436 24 09.1126 43 33.234005140개선충 중감염
4072021-0566무산쇠족제비포유강(Mammalia)식육목족제비과해당없음2 급부속서 2종<NA><NA>2021-05-102021-05-10DOA<NA>기타Unknown0년0월0일36.902194126.67630641<NA><NA>도로변충청남도 당진시 시곡동 131-8도로변알 수 없는 사고알 수 없는 사고36 54 07.9126 40 34.7<NA><NA>3030심한 탈진
4082021-0763수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-05-272021-08-20이첩한국수달연구센터<NA>Female(?)0년0월0일36.887556126.6367516<NA><NA>교량 밑 하천충청남도 당진시 읍내동 119-20강, 바다어미를 잃음(미아)어미를 잃음(미아)36 53 15.2126 38 12.3<NA><NA>6601798미아
4092021-1155수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-06-252021-06-25폐사체<NA>기타Unknown0년0월0일36.904139126.74638911<NA><NA>초대2리 마을회관 부근충청남도 당진시 신평면 초대리 883-1농경지차량과의 충돌차량과의 충돌36 54 14.9126 44 47.0<NA><NA>86608660차량과의 충돌로 인한 전신 다발성 골절 및 내부 장기 손상
4102021-1213수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-07-012021-07-01폐사체<NA>기타Female0년0월0일36.869167126.6091949<NA><NA>수변충청남도 당진시 행정동 477-3도로변차량과의 충돌차량과의 충돌36 52 09.0126 36 33.1<NA><NA>55405540폐사체
4112021-1271수달포유강(Mammalia)식육목족제비과3301 급부속서 1종<NA><NA>2021-07-062021-08-20이첩한국수달연구센터<NA>Female0년1월0일36.890444126.62722214<NA><NA>식당내부충청남도 당진시 당진천2길 20건물옆어미를 잃음(미아)어미를 잃음(미아)36 53 25.6126 37 38.0<NA><NA>7801798단순 미아
4122021-1675오소리포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-09-202021-09-23방생충청남도 당진시 송악읍 본당리 산 77-4<NA>Male0년0월0일36.872361126.7163062236.870046126.721857기지시 119안전센터충청남도 당진시 송악읍 본당리 672기타농수로 고립농수로 고립36 52 20.5126 42 58.736 52 11.5126 43 19.765806580알 수 없는 사고에 의한 탈진 및 가벼운 찰과상