Overview

Dataset statistics

Number of variables32
Number of observations456
Missing cells2230
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory115.5 KiB
Average record size in memory259.3 B

Variable types

Text15
Categorical12
DateTime2
Numeric3

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

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 has 326 (71.5%) missing valuesMissing
방생위도 has 377 (82.7%) missing valuesMissing
방생경도 has 377 (82.7%) missing valuesMissing
발견장소상세 has 48 (10.5%) missing valuesMissing
발생원인 세부사항 has 13 (2.9%) missing valuesMissing
TM구조위도 has 164 (36.0%) missing valuesMissing
TM구조경도 has 164 (36.0%) missing valuesMissing
TM방생위도 has 377 (82.7%) missing valuesMissing
TM방생경도 has 377 (82.7%) missing valuesMissing
임상적최종진단 has 7 (1.5%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 29 (6.4%) zerosZeros

Reproduction

Analysis started2024-01-09 21:45:43.270241
Analysis finished2024-01-09 21:45:44.126754
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct456
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:44.321134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters4104
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

Unique456 ?
Unique (%)100.0%

Sample

1st row2019-1249
2nd row2019-1250
3rd row2019-1251
4th row2019-0761
5th row2019-0762
ValueCountFrequency (%)
2019-1249 1
 
0.2%
2022-2025 1
 
0.2%
2022-1811 1
 
0.2%
2022-1804 1
 
0.2%
2022-1500 1
 
0.2%
2022-1259 1
 
0.2%
2022-1228 1
 
0.2%
2022-1185 1
 
0.2%
2022-0538 1
 
0.2%
2022-0475 1
 
0.2%
Other values (446) 446
97.8%
2024-01-10T06:45:44.668164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1190
29.0%
0 916
22.3%
1 528
12.9%
- 456
 
11.1%
9 223
 
5.4%
4 147
 
3.6%
3 141
 
3.4%
5 136
 
3.3%
7 129
 
3.1%
6 128
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3648
88.9%
Dash Punctuation 456
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1190
32.6%
0 916
25.1%
1 528
14.5%
9 223
 
6.1%
4 147
 
4.0%
3 141
 
3.9%
5 136
 
3.7%
7 129
 
3.5%
6 128
 
3.5%
8 110
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 456
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4104
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1190
29.0%
0 916
22.3%
1 528
12.9%
- 456
 
11.1%
9 223
 
5.4%
4 147
 
3.6%
3 141
 
3.4%
5 136
 
3.3%
7 129
 
3.1%
6 128
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4104
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1190
29.0%
0 916
22.3%
1 528
12.9%
- 456
 
11.1%
9 223
 
5.4%
4 147
 
3.6%
3 141
 
3.4%
5 136
 
3.3%
7 129
 
3.1%
6 128
 
3.1%

동물국문명
Text

Distinct60
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:44.841111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.2741228
Min length1

Characters and Unicode

Total characters1493
Distinct characters110
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

Unique32 ?
Unique (%)7.0%

Sample

1st row흰뺨검둥오리
2nd row흰뺨검둥오리
3rd row흰뺨검둥오리
4th row꿩
5th row꿩
ValueCountFrequency (%)
고라니 140
30.7%
너구리 63
13.8%
멧비둘기 47
 
10.3%
까치 42
 
9.2%
참새 18
 
3.9%
흰뺨검둥오리 16
 
3.5%
물까치 12
 
2.6%
괭이갈매기 10
 
2.2%
딱새 9
 
2.0%
꿩 7
 
1.5%
Other values (50) 92
20.2%
2024-01-10T06:45:45.106369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
라 143
 
9.6%
고 141
 
9.4%
니 140
 
9.4%
리 108
 
7.2%
기 74
 
5.0%
구 73
 
4.9%
너 63
 
4.2%
치 60
 
4.0%
비 55
 
3.7%
까 54
 
3.6%
Other values (100) 582
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1488
99.7%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 143
 
9.6%
고 141
 
9.5%
니 140
 
9.4%
리 108
 
7.3%
기 74
 
5.0%
구 73
 
4.9%
너 63
 
4.2%
치 60
 
4.0%
비 55
 
3.7%
까 54
 
3.6%
Other values (97) 577
38.8%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Symbol
ValueCountFrequency (%)
㉵ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1489
99.7%
Common 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 143
 
9.6%
고 141
 
9.5%
니 140
 
9.4%
리 108
 
7.3%
기 74
 
5.0%
구 73
 
4.9%
너 63
 
4.2%
치 60
 
4.0%
비 55
 
3.7%
까 54
 
3.6%
Other values (98) 578
38.8%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1488
99.7%
ASCII 4
 
0.3%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
라 143
 
9.6%
고 141
 
9.5%
니 140
 
9.4%
리 108
 
7.3%
기 74
 
5.0%
구 73
 
4.9%
너 63
 
4.2%
치 60
 
4.0%
비 55
 
3.7%
까 54
 
3.6%
Other values (97) 577
38.8%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%
None
ValueCountFrequency (%)
㉵ 1
100.0%

강
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
조강(Aves)
241 
포유강(Mammalia)
213 
파충강(Reptilia)
 
2

Length

Max length13
Median length8
Mean length10.357456
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) 241
52.9%
포유강(Mammalia) 213
46.7%
파충강(Reptilia) 2
 
0.4%

Length

2024-01-10T06:45:45.210873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:45.282259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 241
52.9%
포유강(mammalia 213
46.7%
파충강(reptilia 2
 
0.4%

목
Categorical

Distinct18
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
소목
140 
참새목
116 
식육목
65 
비둘기목
50 
기러기목
24 
Other values (13)
61 

Length

Max length5
Median length4
Mean length2.877193
Min length2

Unique

Unique5 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
소목 140
30.7%
참새목 116
25.4%
식육목 65
14.3%
비둘기목 50
 
11.0%
기러기목 24
 
5.3%
도요목 15
 
3.3%
황새목 13
 
2.9%
닭목 7
 
1.5%
파랑새목 6
 
1.3%
딱다구리목 5
 
1.1%
Other values (8) 15
 
3.3%

Length

2024-01-10T06:45:45.365555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 140
30.7%
참새목 116
25.4%
식육목 65
14.3%
비둘기목 50
 
11.0%
기러기목 24
 
5.3%
도요목 15
 
3.3%
황새목 13
 
2.9%
닭목 7
 
1.5%
파랑새목 6
 
1.3%
딱다구리목 5
 
1.1%
Other values (8) 15
 
3.3%

과
Categorical

Distinct36
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
사슴과
140 
개과
63 
까마귀과
60 
비둘기과
50 
오리과
24 
Other values (31)
119 

Length

Max length9
Median length5
Mean length3.3530702
Min length2

Unique

Unique13 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 140
30.7%
개과 63
13.8%
까마귀과 60
13.2%
비둘기과 50
 
11.0%
오리과 24
 
5.3%
참새과 18
 
3.9%
왜가리과 13
 
2.9%
갈매기과 11
 
2.4%
솔딱새과 11
 
2.4%
꿩과 7
 
1.5%
Other values (26) 59
12.9%

Length

2024-01-10T06:45:45.461562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 140
30.7%
개과 63
13.8%
까마귀과 60
13.2%
비둘기과 50
 
11.0%
오리과 24
 
5.3%
참새과 18
 
3.9%
왜가리과 13
 
2.9%
갈매기과 11
 
2.4%
솔딱새과 11
 
2.4%
꿩과 7
 
1.5%
Other values (26) 59
12.9%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
해당없음
456 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 456
100.0%

Length

2024-01-10T06:45:45.558059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:45.624993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 456
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
해당없음
456 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 456
100.0%

Length

2024-01-10T06:45:45.693221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:45.759253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 456
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
해당없음
456 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 456
100.0%

Length

2024-01-10T06:45:45.825308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:45.890254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 456
100.0%

구조일시
Date

Distinct319
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2018-12-29 00:00:00
Maximum2022-12-29 00:00:00
2024-01-10T06:45:45.982047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:45:46.310971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct324
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Minimum2019-01-04 00:00:00
Maximum2023-02-17 00:00:00
2024-01-10T06:45:46.412591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:45:46.520827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
방생
130 
안락사
125 
폐사
69 
DOA
68 
폐사체
64 

Length

Max length3
Median length3
Mean length2.5635965
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 130
28.5%
안락사 125
27.4%
폐사 69
15.1%
DOA 68
14.9%
폐사체 64
14.0%

Length

2024-01-10T06:45:46.620769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:46.708550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 130
28.5%
안락사 125
27.4%
폐사 69
15.1%
doa 68
14.9%
폐사체 64
14.0%

이첩 방생 위치
Text

MISSING 

Distinct82
Distinct (%)63.1%
Missing326
Missing (%)71.5%
Memory size3.7 KiB
2024-01-10T06:45:46.975222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length20.407692
Min length11

Characters and Unicode

Total characters2653
Distinct characters116
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

Unique60 ?
Unique (%)46.2%

Sample

1st row충청남도 보령시 청라면 의평리 593
2nd row충청남도 보령시 청라면 의평리 593
3rd row충청남도 보령시 청라면 의평리 593
4th row충청남도 예산군 예산읍 주교리 460
5th row충청남도 예산군 예산읍 향천리 산 10
ValueCountFrequency (%)
충청남도 78
 
11.8%
당진시 67
 
10.2%
충남 50
 
7.6%
산 31
 
4.7%
예산군 29
 
4.4%
예산읍 18
 
2.7%
송악읍 14
 
2.1%
아산시 10
 
1.5%
송산면 9
 
1.4%
시곡동 9
 
1.4%
Other values (187) 345
52.3%
2024-01-10T06:45:47.376458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
537
20.2%
남 132
 
5.0%
산 130
 
4.9%
충 128
 
4.8%
1 107
 
4.0%
시 103
 
3.9%
리 101
 
3.8%
- 92
 
3.5%
청 86
 
3.2%
도 80
 
3.0%
Other values (106) 1157
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1578
59.5%
Space Separator 537
 
20.2%
Decimal Number 446
 
16.8%
Dash Punctuation 92
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 132
 
8.4%
산 130
 
8.2%
충 128
 
8.1%
시 103
 
6.5%
리 101
 
6.4%
청 86
 
5.4%
도 80
 
5.1%
면 75
 
4.8%
당 70
 
4.4%
진 68
 
4.3%
Other values (94) 605
38.3%
Decimal Number
ValueCountFrequency (%)
1 107
24.0%
3 78
17.5%
2 59
13.2%
6 45
10.1%
5 40
 
9.0%
4 32
 
7.2%
7 25
 
5.6%
9 23
 
5.2%
8 19
 
4.3%
0 18
 
4.0%
Space Separator
ValueCountFrequency (%)
537
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1578
59.5%
Common 1075
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 132
 
8.4%
산 130
 
8.2%
충 128
 
8.1%
시 103
 
6.5%
리 101
 
6.4%
청 86
 
5.4%
도 80
 
5.1%
면 75
 
4.8%
당 70
 
4.4%
진 68
 
4.3%
Other values (94) 605
38.3%
Common
ValueCountFrequency (%)
537
50.0%
1 107
 
10.0%
- 92
 
8.6%
3 78
 
7.3%
2 59
 
5.5%
6 45
 
4.2%
5 40
 
3.7%
4 32
 
3.0%
7 25
 
2.3%
9 23
 
2.1%
Other values (2) 37
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1578
59.5%
ASCII 1075
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
537
50.0%
1 107
 
10.0%
- 92
 
8.6%
3 78
 
7.3%
2 59
 
5.5%
6 45
 
4.2%
5 40
 
3.7%
4 32
 
3.0%
7 25
 
2.3%
9 23
 
2.1%
Other values (2) 37
 
3.4%
Hangul
ValueCountFrequency (%)
남 132
 
8.4%
산 130
 
8.2%
충 128
 
8.1%
시 103
 
6.5%
리 101
 
6.4%
청 86
 
5.4%
도 80
 
5.1%
면 75
 
4.8%
당 70
 
4.4%
진 68
 
4.3%
Other values (94) 605
38.3%

사체처리
Categorical

Distinct8
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
기타
218 
<NA>
131 
냉동(신냉동창고)(투입박스(일반))
36 
폐기
31 
냉동(구냉동창고)(성체고라니, 개선충너구리)
25 
Other values (3)
 
15

Length

Max length24
Median length2
Mean length5.3574561
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 218
47.8%
<NA> 131
28.7%
냉동(신냉동창고)(투입박스(일반)) 36
 
7.9%
폐기 31
 
6.8%
냉동(구냉동창고)(성체고라니, 개선충너구리) 25
 
5.5%
기타(협조) 10
 
2.2%
냉동(표본제작실)(소형조류 1) 3
 
0.7%
냉동(신냉동창고)(선반) 2
 
0.4%

Length

2024-01-10T06:45:47.488397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:47.573288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 218
45.0%
na 131
27.1%
냉동(신냉동창고)(투입박스(일반 36
 
7.4%
폐기 31
 
6.4%
냉동(구냉동창고)(성체고라니 25
 
5.2%
개선충너구리 25
 
5.2%
기타(협조 10
 
2.1%
냉동(표본제작실)(소형조류 3
 
0.6%
1 3
 
0.6%
냉동(신냉동창고)(선반 2
 
0.4%

동물성별
Categorical

Distinct5
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
Unknown
294 
Male
96 
Female
60 
Male()
 
4
Female()
 
2

Length

Max length8
Median length7
Mean length6.2324561
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 294
64.5%
Male 96
 
21.1%
Female 60
 
13.2%
Male() 4
 
0.9%
Female() 2
 
0.4%

Length

2024-01-10T06:45:47.681001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:47.770936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 294
64.5%
male 100
 
21.9%
female 62
 
13.6%

동물연령
Categorical

Distinct31
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
0년0월0일
140 
Juvenile
81 
Nestling
68 
Unknown
50 
Adult
42 
Other values (26)
75 

Length

Max length8
Median length7
Mean length6.7061404
Min length5

Unique

Unique13 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 140
30.7%
Juvenile 81
17.8%
Nestling 68
14.9%
Unknown 50
 
11.0%
Adult 42
 
9.2%
0년11월0일 10
 
2.2%
1년0월0일 9
 
2.0%
0년9월0일 8
 
1.8%
0년6월0일 7
 
1.5%
0년2월0일 5
 
1.1%
Other values (21) 36
 
7.9%

Length

2024-01-10T06:45:47.890020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 140
30.7%
juvenile 81
17.8%
nestling 68
14.9%
unknown 50
 
11.0%
adult 42
 
9.2%
0년11월0일 10
 
2.2%
1년0월0일 9
 
2.0%
0년9월0일 8
 
1.8%
0년6월0일 7
 
1.5%
0년2월0일 5
 
1.1%
Other values (21) 36
 
7.9%

구조위도
Text

Distinct375
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:48.114554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.9144737
Min length2

Characters and Unicode

Total characters4065
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

Unique337 ?
Unique (%)73.9%

Sample

1st row36.97475
2nd row36.97475
3rd row36.97475
4th row36.984556
5th row36.985583
ValueCountFrequency (%)
36.931111 8
 
1.8%
36.778972 8
 
1.8%
36.54.035 7
 
1.5%
37.046833 6
 
1.3%
36.828694 5
 
1.1%
36.53.483 5
 
1.1%
36.891139 5
 
1.1%
36.53.055 4
 
0.9%
36.48.113 4
 
0.9%
36.53.582 4
 
0.9%
Other values (365) 400
87.7%
2024-01-10T06:45:48.447656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 713
17.5%
6 619
15.2%
. 619
15.2%
8 367
9.0%
5 313
7.7%
9 297
7.3%
7 271
 
6.7%
1 228
 
5.6%
0 221
 
5.4%
4 212
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3446
84.8%
Other Punctuation 619
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 713
20.7%
6 619
18.0%
8 367
10.7%
5 313
9.1%
9 297
8.6%
7 271
 
7.9%
1 228
 
6.6%
0 221
 
6.4%
4 212
 
6.2%
2 205
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 619
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4065
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 713
17.5%
6 619
15.2%
. 619
15.2%
8 367
9.0%
5 313
7.7%
9 297
7.3%
7 271
 
6.7%
1 228
 
5.6%
0 221
 
5.4%
4 212
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4065
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 713
17.5%
6 619
15.2%
. 619
15.2%
8 367
9.0%
5 313
7.7%
9 297
7.3%
7 271
 
6.7%
1 228
 
5.6%
0 221
 
5.4%
4 212
 
5.2%

구조경도
Text

Distinct375
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:48.702650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8684211
Min length3

Characters and Unicode

Total characters4500
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

Unique339 ?
Unique (%)74.3%

Sample

1st row126.750028
2nd row126.750028
3rd row126.750028
4th row126.586
5th row126.585667
ValueCountFrequency (%)
126.647583 8
 
1.8%
126.820278 8
 
1.8%
126.40.327 7
 
1.5%
126.527694 6
 
1.3%
126.37.157 5
 
1.1%
126.830167 5
 
1.1%
126.819306 5
 
1.1%
126.45.001 4
 
0.9%
126.37.387 4
 
0.9%
126.43.032 4
 
0.9%
Other values (365) 400
87.7%
2024-01-10T06:45:49.073778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 769
17.1%
2 688
15.3%
1 682
15.2%
. 619
13.8%
3 301
 
6.7%
7 300
 
6.7%
4 295
 
6.6%
8 246
 
5.5%
5 235
 
5.2%
9 183
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3881
86.2%
Other Punctuation 619
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 769
19.8%
2 688
17.7%
1 682
17.6%
3 301
 
7.8%
7 300
 
7.7%
4 295
 
7.6%
8 246
 
6.3%
5 235
 
6.1%
9 183
 
4.7%
0 182
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 619
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4500
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 769
17.1%
2 688
15.3%
1 682
15.2%
. 619
13.8%
3 301
 
6.7%
7 300
 
6.7%
4 295
 
6.6%
8 246
 
5.5%
5 235
 
5.2%
9 183
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4500
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 769
17.1%
2 688
15.3%
1 682
15.2%
. 619
13.8%
3 301
 
6.7%
7 300
 
6.7%
4 295
 
6.6%
8 246
 
5.5%
5 235
 
5.2%
9 183
 
4.1%

구조고도
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.504386
Minimum-4
Maximum252
Zeros29
Zeros (%)6.4%
Negative5
Negative (%)1.1%
Memory size4.1 KiB
2024-01-10T06:45:49.191011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4
5-th percentile0
Q17
median17
Q335
95-th percentile65
Maximum252
Range256
Interquartile range (IQR)28

Descriptive statistics

Standard deviation26.913128
Coefficient of variation (CV)1.0982984
Kurtosis23.315219
Mean24.504386
Median Absolute Deviation (MAD)11
Skewness3.6018509
Sum11174
Variance724.31646
MonotonicityNot monotonic
2024-01-10T06:45:49.305089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
6.4%
7 23
 
5.0%
5 17
 
3.7%
9 16
 
3.5%
10 15
 
3.3%
8 14
 
3.1%
4 13
 
2.9%
17 13
 
2.9%
14 12
 
2.6%
12 12
 
2.6%
Other values (70) 292
64.0%
ValueCountFrequency (%)
-4 1
 
0.2%
-3 2
 
0.4%
-2 1
 
0.2%
-1 1
 
0.2%
0 29
6.4%
1 5
 
1.1%
2 10
 
2.2%
3 5
 
1.1%
4 13
2.9%
5 17
3.7%
ValueCountFrequency (%)
252 2
0.4%
152 1
0.2%
135 1
0.2%
125 2
0.4%
93 1
0.2%
89 2
0.4%
88 1
0.2%
82 2
0.4%
79 1
0.2%
78 1
0.2%

방생위도
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)67.1%
Missing377
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean36.725355
Minimum36.126273
Maximum36.941508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-01-10T06:45:49.409086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.126273
5-th percentile36.389865
Q136.667808
median36.735881
Q336.868817
95-th percentile36.91387
Maximum36.941508
Range0.81523475
Interquartile range (IQR)0.20100822

Descriptive statistics

Standard deviation0.17792123
Coefficient of variation (CV)0.0048446428
Kurtosis1.4684072
Mean36.725355
Median Absolute Deviation (MAD)0.12116954
Skewness-1.2049063
Sum2901.303
Variance0.031655963
MonotonicityNot monotonic
2024-01-10T06:45:49.520646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.78111471 6
 
1.3%
36.68985894 4
 
0.9%
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%
36.67008139 3
 
0.7%
36.91387003 2
 
0.4%
36.90333997 2
 
0.4%
Other values (43) 47
 
10.3%
(Missing) 377
82.7%
ValueCountFrequency (%)
36.12627336 1
 
0.2%
36.16799571 1
 
0.2%
36.38986495 3
0.7%
36.40257587 1
 
0.2%
36.42413932 3
0.7%
36.46109385 1
 
0.2%
36.53100102 1
 
0.2%
36.53908865 1
 
0.2%
36.5874155 1
 
0.2%
36.5913255 1
 
0.2%
ValueCountFrequency (%)
36.94150811 1
 
0.2%
36.93115068 1
 
0.2%
36.91700003 1
 
0.2%
36.91387003 2
0.4%
36.90878408 3
0.7%
36.90770508 1
 
0.2%
36.90419044 1
 
0.2%
36.90333997 2
0.4%
36.90254688 1
 
0.2%
36.90233724 1
 
0.2%

방생경도
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)67.1%
Missing377
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean126.76207
Minimum126.39409
Maximum127.43718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.1 KiB
2024-01-10T06:45:49.637475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.39409
5-th percentile126.51816
Q1126.66493
median126.76642
Q3126.85954
95-th percentile126.97274
Maximum127.43718
Range1.0430894
Interquartile range (IQR)0.19460515

Descriptive statistics

Standard deviation0.15872684
Coefficient of variation (CV)0.0012521636
Kurtosis3.8049434
Mean126.76207
Median Absolute Deviation (MAD)0.094671
Skewness0.951786
Sum10014.203
Variance0.025194211
MonotonicityNot monotonic
2024-01-10T06:45:49.743482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8537273 6
 
1.3%
126.861433 4
 
0.9%
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%
126.8596661 3
 
0.7%
126.6697017 2
 
0.4%
126.7515886 2
 
0.4%
Other values (43) 47
 
10.3%
(Missing) 377
82.7%
ValueCountFrequency (%)
126.3940879 1
 
0.2%
126.4345645 1
 
0.2%
126.5181604 3
0.7%
126.5232893 1
 
0.2%
126.5666482 1
 
0.2%
126.5901304 1
 
0.2%
126.5927433 3
0.7%
126.6214817 1
 
0.2%
126.6243786 1
 
0.2%
126.6422083 1
 
0.2%
ValueCountFrequency (%)
127.4371773 1
0.2%
127.2167361 1
0.2%
127.0359631 1
0.2%
127.0296688 1
0.2%
126.9664151 1
0.2%
126.9510594 1
0.2%
126.8879578 1
0.2%
126.8772734 1
0.2%
126.867447 1
0.2%
126.8671633 1
0.2%

발견장소상세
Text

MISSING 

Distinct289
Distinct (%)70.8%
Missing48
Missing (%)10.5%
Memory size3.7 KiB
2024-01-10T06:45:49.988639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length8.7034314
Min length1

Characters and Unicode

Total characters3551
Distinct characters319
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)63.5%

Sample

1st row참이슬밥상
2nd row참이슬밥상
3rd row참이슬밥상
4th row해변 공원 내
5th row주소지 부근 실외 야구연습장
ValueCountFrequency (%)
주소지 63
 
6.2%
도로변 50
 
5.0%
부근 40
 
4.0%
옆 34
 
3.4%
내 31
 
3.1%
앞 31
 
3.1%
도로 29
 
2.9%
농수로 27
 
2.7%
아파트 18
 
1.8%
인근 18
 
1.8%
Other values (355) 668
66.2%
2024-01-10T06:45:50.351153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
621
 
17.5%
로 153
 
4.3%
지 132
 
3.7%
도 99
 
2.8%
주 94
 
2.6%
소 84
 
2.4%
변 70
 
2.0%
부 65
 
1.8%
근 63
 
1.8%
아 52
 
1.5%
Other values (309) 2118
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2722
76.7%
Space Separator 621
 
17.5%
Decimal Number 138
 
3.9%
Uppercase Letter 23
 
0.6%
Open Punctuation 19
 
0.5%
Close Punctuation 19
 
0.5%
Dash Punctuation 5
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 153
 
5.6%
지 132
 
4.8%
도 99
 
3.6%
주 94
 
3.5%
소 84
 
3.1%
변 70
 
2.6%
부 65
 
2.4%
근 63
 
2.3%
아 52
 
1.9%
내 51
 
1.9%
Other values (281) 1859
68.3%
Decimal Number
ValueCountFrequency (%)
1 48
34.8%
0 19
 
13.8%
3 16
 
11.6%
4 14
 
10.1%
2 12
 
8.7%
8 10
 
7.2%
7 7
 
5.1%
5 6
 
4.3%
9 5
 
3.6%
6 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
C 5
21.7%
P 4
17.4%
G 3
13.0%
L 2
 
8.7%
S 2
 
8.7%
K 2
 
8.7%
A 2
 
8.7%
M 1
 
4.3%
H 1
 
4.3%
I 1
 
4.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
i 1
25.0%
k 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
621
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2722
76.7%
Common 802
 
22.6%
Latin 27
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 153
 
5.6%
지 132
 
4.8%
도 99
 
3.6%
주 94
 
3.5%
소 84
 
3.1%
변 70
 
2.6%
부 65
 
2.4%
근 63
 
2.3%
아 52
 
1.9%
내 51
 
1.9%
Other values (281) 1859
68.3%
Common
ValueCountFrequency (%)
621
77.4%
1 48
 
6.0%
( 19
 
2.4%
) 19
 
2.4%
0 19
 
2.4%
3 16
 
2.0%
4 14
 
1.7%
2 12
 
1.5%
8 10
 
1.2%
7 7
 
0.9%
Other values (4) 17
 
2.1%
Latin
ValueCountFrequency (%)
C 5
18.5%
P 4
14.8%
G 3
11.1%
L 2
 
7.4%
S 2
 
7.4%
K 2
 
7.4%
A 2
 
7.4%
M 1
 
3.7%
H 1
 
3.7%
c 1
 
3.7%
Other values (4) 4
14.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2722
76.7%
ASCII 829
 
23.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
621
74.9%
1 48
 
5.8%
( 19
 
2.3%
) 19
 
2.3%
0 19
 
2.3%
3 16
 
1.9%
4 14
 
1.7%
2 12
 
1.4%
8 10
 
1.2%
7 7
 
0.8%
Other values (18) 44
 
5.3%
Hangul
ValueCountFrequency (%)
로 153
 
5.6%
지 132
 
4.8%
도 99
 
3.6%
주 94
 
3.5%
소 84
 
3.1%
변 70
 
2.6%
부 65
 
2.4%
근 63
 
2.3%
아 52
 
1.9%
내 51
 
1.9%
Other values (281) 1859
68.3%

발견주소
Text

Distinct372
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:50.547173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length20.118421
Min length13

Characters and Unicode

Total characters9174
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

Unique333 ?
Unique (%)73.0%

Sample

1st row충청남도 당진시 송악읍 고대리 39-12
2nd row충청남도 당진시 송악읍 고대리 39-12
3rd row충청남도 당진시 송악읍 고대리 39-12
4th row충청남도 당진시 석문면 통정리 621-14
5th row충청남도 당진시 석문면 통정리 621-14
ValueCountFrequency (%)
당진시 456
20.8%
충청남도 292
 
13.3%
충남 164
 
7.5%
신평면 70
 
3.2%
송악읍 69
 
3.2%
송산면 47
 
2.1%
석문면 44
 
2.0%
합덕읍 35
 
1.6%
면천면 21
 
1.0%
읍내동 20
 
0.9%
Other values (509) 971
44.4%
2024-01-10T06:45:50.851952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1743
19.0%
시 485
 
5.3%
당 479
 
5.2%
진 471
 
5.1%
남 462
 
5.0%
충 456
 
5.0%
1 370
 
4.0%
- 310
 
3.4%
리 305
 
3.3%
도 303
 
3.3%
Other values (138) 3790
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5378
58.6%
Space Separator 1743
 
19.0%
Decimal Number 1741
 
19.0%
Dash Punctuation 310
 
3.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 485
 
9.0%
당 479
 
8.9%
진 471
 
8.8%
남 462
 
8.6%
충 456
 
8.5%
리 305
 
5.7%
도 303
 
5.6%
청 297
 
5.5%
면 274
 
5.1%
송 130
 
2.4%
Other values (124) 1716
31.9%
Decimal Number
ValueCountFrequency (%)
1 370
21.3%
2 221
12.7%
3 211
12.1%
5 173
9.9%
4 160
9.2%
6 145
 
8.3%
7 128
 
7.4%
8 120
 
6.9%
9 109
 
6.3%
0 104
 
6.0%
Space Separator
ValueCountFrequency (%)
1743
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5378
58.6%
Common 3796
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 485
 
9.0%
당 479
 
8.9%
진 471
 
8.8%
남 462
 
8.6%
충 456
 
8.5%
리 305
 
5.7%
도 303
 
5.6%
청 297
 
5.5%
면 274
 
5.1%
송 130
 
2.4%
Other values (124) 1716
31.9%
Common
ValueCountFrequency (%)
1743
45.9%
1 370
 
9.7%
- 310
 
8.2%
2 221
 
5.8%
3 211
 
5.6%
5 173
 
4.6%
4 160
 
4.2%
6 145
 
3.8%
7 128
 
3.4%
8 120
 
3.2%
Other values (4) 215
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5378
58.6%
ASCII 3796
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1743
45.9%
1 370
 
9.7%
- 310
 
8.2%
2 221
 
5.8%
3 211
 
5.6%
5 173
 
4.6%
4 160
 
4.2%
6 145
 
3.8%
7 128
 
3.4%
8 120
 
3.2%
Other values (4) 215
 
5.7%
Hangul
ValueCountFrequency (%)
시 485
 
9.0%
당 479
 
8.9%
진 471
 
8.8%
남 462
 
8.6%
충 456
 
8.5%
리 305
 
5.7%
도 303
 
5.6%
청 297
 
5.5%
면 274
 
5.1%
송 130
 
2.4%
Other values (124) 1716
31.9%

발견장소특징
Categorical

Distinct6
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
건물옆
207 
도로변
129 
농경지
62 
기타
35 
강, 바다
 
14

Length

Max length5
Median length3
Mean length2.9451754
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 207
45.4%
도로변 129
28.3%
농경지 62
 
13.6%
기타 35
 
7.7%
강, 바다 14
 
3.1%
숲 9
 
2.0%

Length

2024-01-10T06:45:50.962588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:45:51.070531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 207
44.0%
도로변 129
27.4%
농경지 62
 
13.2%
기타 35
 
7.4%
강 14
 
3.0%
바다 14
 
3.0%
숲 9
 
1.9%

발생원인
Categorical

Distinct33
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
차량과의 충돌
76 
- 어미를 잃음(미아)
56 
어미를 잃음(미아)
55 
전선/건물과의 충돌
43 
- 차량과의 충돌
36 
Other values (28)
190 

Length

Max length14
Median length13
Mean length9.4495614
Min length2

Unique

Unique7 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
차량과의 충돌 76
16.7%
- 어미를 잃음(미아) 56
12.3%
어미를 잃음(미아) 55
12.1%
전선/건물과의 충돌 43
9.4%
- 차량과의 충돌 36
 
7.9%
인공구조물 침입·고립 28
 
6.1%
기생충 중감염 24
 
5.3%
- 전선/건물과의 충돌 21
 
4.6%
- 농수로 고립 16
 
3.5%
기아 및 탈진 11
 
2.4%
Other values (23) 90
19.7%

Length

2024-01-10T06:45:51.201599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 176
15.8%
164
14.7%
차량과의 112
10.1%
어미를 111
10.0%
잃음(미아 111
10.0%
전선/건물과의 64
 
5.8%
인공구조물 35
 
3.1%
침입·고립 35
 
3.1%
기생충 32
 
2.9%
중감염 32
 
2.9%
Other values (25) 241
21.7%

발생원인 세부사항
Text

MISSING 

Distinct157
Distinct (%)35.4%
Missing13
Missing (%)2.9%
Memory size3.7 KiB
2024-01-10T06:45:51.480324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length41
Mean length10.225734
Min length1

Characters and Unicode

Total characters4530
Distinct characters224
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

Unique107 ?
Unique (%)24.2%

Sample

1st row어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨
2nd row어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨
3rd row어미와 유조 8마리가 식당으로 들어온 후 빠져나가는 과정에서 3마리가 낙오됨
4th row차량충돌 추정, 도로 중앙선에서 발견됨
5th row차량충돌 추정, 도로 중앙선에서 발견됨
ValueCountFrequency (%)
충돌 139
 
11.8%
차량과의 80
 
6.8%
어미를 76
 
6.5%
잃음(미아 71
 
6.0%
추정 58
 
4.9%
고립 56
 
4.8%
농수로 25
 
2.1%
인공구조물 25
 
2.1%
구조물 22
 
1.9%
차량충돌 22
 
1.9%
Other values (215) 603
51.2%
2024-01-10T06:45:51.844726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
752
 
16.6%
충 225
 
5.0%
돌 174
 
3.8%
미 171
 
3.8%
량 110
 
2.4%
차 110
 
2.4%
고 102
 
2.3%
과 99
 
2.2%
아 97
 
2.1%
의 97
 
2.1%
Other values (214) 2593
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3458
76.3%
Space Separator 752
 
16.6%
Other Punctuation 108
 
2.4%
Close Punctuation 83
 
1.8%
Open Punctuation 83
 
1.8%
Decimal Number 32
 
0.7%
Lowercase Letter 11
 
0.2%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 225
 
6.5%
돌 174
 
5.0%
미 171
 
4.9%
량 110
 
3.2%
차 110
 
3.2%
고 102
 
2.9%
과 99
 
2.9%
아 97
 
2.8%
의 97
 
2.8%
어 90
 
2.6%
Other values (193) 2183
63.1%
Lowercase Letter
ValueCountFrequency (%)
s 3
27.3%
c 2
18.2%
t 1
 
9.1%
a 1
 
9.1%
r 1
 
9.1%
o 1
 
9.1%
y 1
 
9.1%
i 1
 
9.1%
Decimal Number
ValueCountFrequency (%)
1 11
34.4%
8 9
28.1%
9 5
15.6%
2 4
 
12.5%
3 3
 
9.4%
Other Punctuation
ValueCountFrequency (%)
/ 77
71.3%
, 23
 
21.3%
· 6
 
5.6%
. 2
 
1.9%
Space Separator
ValueCountFrequency (%)
752
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3458
76.3%
Common 1061
 
23.4%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 225
 
6.5%
돌 174
 
5.0%
미 171
 
4.9%
량 110
 
3.2%
차 110
 
3.2%
고 102
 
2.9%
과 99
 
2.9%
아 97
 
2.8%
의 97
 
2.8%
어 90
 
2.6%
Other values (193) 2183
63.1%
Common
ValueCountFrequency (%)
752
70.9%
) 83
 
7.8%
( 83
 
7.8%
/ 77
 
7.3%
, 23
 
2.2%
1 11
 
1.0%
8 9
 
0.8%
· 6
 
0.6%
9 5
 
0.5%
2 4
 
0.4%
Other values (3) 8
 
0.8%
Latin
ValueCountFrequency (%)
s 3
27.3%
c 2
18.2%
t 1
 
9.1%
a 1
 
9.1%
r 1
 
9.1%
o 1
 
9.1%
y 1
 
9.1%
i 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3458
76.3%
ASCII 1066
 
23.5%
None 6
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
752
70.5%
) 83
 
7.8%
( 83
 
7.8%
/ 77
 
7.2%
, 23
 
2.2%
1 11
 
1.0%
8 9
 
0.8%
9 5
 
0.5%
2 4
 
0.4%
- 3
 
0.3%
Other values (10) 16
 
1.5%
Hangul
ValueCountFrequency (%)
충 225
 
6.5%
돌 174
 
5.0%
미 171
 
4.9%
량 110
 
3.2%
차 110
 
3.2%
고 102
 
2.9%
과 99
 
2.9%
아 97
 
2.8%
의 97
 
2.8%
어 90
 
2.6%
Other values (193) 2183
63.1%
None
ValueCountFrequency (%)
· 6
100.0%

TM구조위도
Text

MISSING 

Distinct241
Distinct (%)82.5%
Missing164
Missing (%)36.0%
Memory size3.7 KiB
2024-01-10T06:45:52.133409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2920
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

Unique218 ?
Unique (%)74.7%

Sample

1st row36 58 29.1
2nd row36 58 29.1
3rd row36 58 29.1
4th row36 59 04.4
5th row36 59 08.1
ValueCountFrequency (%)
36 275
31.4%
53 57
 
6.5%
54 34
 
3.9%
52 25
 
2.9%
55 22
 
2.5%
57 20
 
2.3%
58 20
 
2.3%
37 17
 
1.9%
56 16
 
1.8%
49 15
 
1.7%
Other values (212) 375
42.8%
2024-01-10T06:45:52.523925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
584
20.0%
3 452
15.5%
6 354
12.1%
5 353
12.1%
. 292
10.0%
4 196
 
6.7%
2 158
 
5.4%
0 134
 
4.6%
1 116
 
4.0%
8 110
 
3.8%
Other values (2) 171
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2044
70.0%
Space Separator 584
 
20.0%
Other Punctuation 292
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 452
22.1%
6 354
17.3%
5 353
17.3%
4 196
9.6%
2 158
 
7.7%
0 134
 
6.6%
1 116
 
5.7%
8 110
 
5.4%
7 101
 
4.9%
9 70
 
3.4%
Space Separator
ValueCountFrequency (%)
584
100.0%
Other Punctuation
ValueCountFrequency (%)
. 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
584
20.0%
3 452
15.5%
6 354
12.1%
5 353
12.1%
. 292
10.0%
4 196
 
6.7%
2 158
 
5.4%
0 134
 
4.6%
1 116
 
4.0%
8 110
 
3.8%
Other values (2) 171
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
584
20.0%
3 452
15.5%
6 354
12.1%
5 353
12.1%
. 292
10.0%
4 196
 
6.7%
2 158
 
5.4%
0 134
 
4.6%
1 116
 
4.0%
8 110
 
3.8%
Other values (2) 171
 
5.9%

TM구조경도
Text

MISSING 

Distinct241
Distinct (%)82.5%
Missing164
Missing (%)36.0%
Memory size3.7 KiB
2024-01-10T06:45:52.829219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3212
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

Unique219 ?
Unique (%)75.0%

Sample

1st row126 45 00.1
2nd row126 45 00.1
3rd row126 45 00.1
4th row126 35 09.6
5th row126 35 08.4
ValueCountFrequency (%)
126 291
33.2%
38 38
 
4.3%
49 31
 
3.5%
45 22
 
2.5%
41 20
 
2.3%
40 19
 
2.2%
46 19
 
2.2%
35 17
 
1.9%
37 16
 
1.8%
39 14
 
1.6%
Other values (220) 389
44.4%
2024-01-10T06:45:53.220544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
584
18.2%
1 427
13.3%
2 403
12.5%
6 382
11.9%
. 292
9.1%
4 277
8.6%
3 260
8.1%
0 143
 
4.5%
5 138
 
4.3%
8 123
 
3.8%
Other values (2) 183
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2336
72.7%
Space Separator 584
 
18.2%
Other Punctuation 292
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 427
18.3%
2 403
17.3%
6 382
16.4%
4 277
11.9%
3 260
11.1%
0 143
 
6.1%
5 138
 
5.9%
8 123
 
5.3%
7 92
 
3.9%
9 91
 
3.9%
Space Separator
ValueCountFrequency (%)
584
100.0%
Other Punctuation
ValueCountFrequency (%)
. 292
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3212
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
584
18.2%
1 427
13.3%
2 403
12.5%
6 382
11.9%
. 292
9.1%
4 277
8.6%
3 260
8.1%
0 143
 
4.5%
5 138
 
4.3%
8 123
 
3.8%
Other values (2) 183
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3212
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
584
18.2%
1 427
13.3%
2 403
12.5%
6 382
11.9%
. 292
9.1%
4 277
8.6%
3 260
8.1%
0 143
 
4.5%
5 138
 
4.3%
8 123
 
3.8%
Other values (2) 183
 
5.7%

TM방생위도
Text

MISSING 

Distinct57
Distinct (%)72.2%
Missing377
Missing (%)82.7%
Memory size3.7 KiB
2024-01-10T06:45:53.444619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters790
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

Unique45 ?
Unique (%)57.0%

Sample

1st row36 23 23.5
2nd row36 23 23.5
3rd row36 23 23.8
4th row36 40 51.6
5th row36 41 20.1
ValueCountFrequency (%)
36 79
33.3%
54 11
 
4.6%
41 8
 
3.4%
51 7
 
3.0%
46 7
 
3.0%
40 7
 
3.0%
51.5 7
 
3.0%
53 5
 
2.1%
39 5
 
2.1%
24.8 4
 
1.7%
Other values (73) 97
40.9%
2024-01-10T06:45:53.707934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
20.0%
3 124
15.7%
6 103
13.0%
. 79
10.0%
5 72
9.1%
4 61
 
7.7%
1 59
 
7.5%
2 48
 
6.1%
0 31
 
3.9%
9 20
 
2.5%
Other values (2) 35
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 553
70.0%
Space Separator 158
 
20.0%
Other Punctuation 79
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 124
22.4%
6 103
18.6%
5 72
13.0%
4 61
11.0%
1 59
10.7%
2 48
 
8.7%
0 31
 
5.6%
9 20
 
3.6%
7 18
 
3.3%
8 17
 
3.1%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 790
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
158
20.0%
3 124
15.7%
6 103
13.0%
. 79
10.0%
5 72
9.1%
4 61
 
7.7%
1 59
 
7.5%
2 48
 
6.1%
0 31
 
3.9%
9 20
 
2.5%
Other values (2) 35
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 790
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
20.0%
3 124
15.7%
6 103
13.0%
. 79
10.0%
5 72
9.1%
4 61
 
7.7%
1 59
 
7.5%
2 48
 
6.1%
0 31
 
3.9%
9 20
 
2.5%
Other values (2) 35
 
4.4%

TM방생경도
Text

MISSING 

Distinct57
Distinct (%)72.2%
Missing377
Missing (%)82.7%
Memory size3.7 KiB
2024-01-10T06:45:53.884711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters869
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

Unique45 ?
Unique (%)57.0%

Sample

1st row126 38 57.5
2nd row126 38 57.5
3rd row126 38 56.6
4th row126 49 17.4
5th row126 51 48.6
ValueCountFrequency (%)
126 75
31.6%
51 19
 
8.0%
40 7
 
3.0%
38 6
 
2.5%
14.1 6
 
2.5%
48 5
 
2.1%
57.5 5
 
2.1%
43.6 4
 
1.7%
127 4
 
1.7%
43 4
 
1.7%
Other values (72) 102
43.0%
2024-01-10T06:45:54.145834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
158
18.2%
1 138
15.9%
2 106
12.2%
6 103
11.9%
. 79
9.1%
5 70
8.1%
4 59
 
6.8%
3 49
 
5.6%
0 37
 
4.3%
7 32
 
3.7%
Other values (2) 38
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
72.7%
Space Separator 158
 
18.2%
Other Punctuation 79
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 138
21.8%
2 106
16.8%
6 103
16.3%
5 70
11.1%
4 59
9.3%
3 49
 
7.8%
0 37
 
5.9%
7 32
 
5.1%
8 21
 
3.3%
9 17
 
2.7%
Space Separator
ValueCountFrequency (%)
158
100.0%
Other Punctuation
ValueCountFrequency (%)
. 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 869
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
158
18.2%
1 138
15.9%
2 106
12.2%
6 103
11.9%
. 79
9.1%
5 70
8.1%
4 59
 
6.8%
3 49
 
5.6%
0 37
 
4.3%
7 32
 
3.7%
Other values (2) 38
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 869
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
158
18.2%
1 138
15.9%
2 106
12.2%
6 103
11.9%
. 79
9.1%
5 70
8.1%
4 59
 
6.8%
3 49
 
5.6%
0 37
 
4.3%
7 32
 
3.7%
Other values (2) 38
 
4.4%

등록체중
Text

Distinct283
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:54.427062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.0504386
Min length1

Characters and Unicode

Total characters1391
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)50.4%

Sample

1st row30
2nd row30
3rd row30
4th row104
5th row70
ValueCountFrequency (%)
0 100
 
21.9%
24 6
 
1.3%
112 4
 
0.9%
120 4
 
0.9%
11 4
 
0.9%
14 3
 
0.7%
30 3
 
0.7%
128 3
 
0.7%
44 3
 
0.7%
68 3
 
0.7%
Other values (273) 323
70.8%
2024-01-10T06:45:54.819728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 344
24.7%
1 237
17.0%
2 140
10.1%
4 135
 
9.7%
6 117
 
8.4%
8 100
 
7.2%
3 87
 
6.3%
5 60
 
4.3%
7 56
 
4.0%
9 49
 
3.5%
Other values (2) 66
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1325
95.3%
Other Punctuation 66
 
4.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 344
26.0%
1 237
17.9%
2 140
10.6%
4 135
 
10.2%
6 117
 
8.8%
8 100
 
7.5%
3 87
 
6.6%
5 60
 
4.5%
7 56
 
4.2%
9 49
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 44
66.7%
. 22
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 1391
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 344
24.7%
1 237
17.0%
2 140
10.1%
4 135
 
9.7%
6 117
 
8.4%
8 100
 
7.2%
3 87
 
6.3%
5 60
 
4.3%
7 56
 
4.0%
9 49
 
3.5%
Other values (2) 66
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1391
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 344
24.7%
1 237
17.0%
2 140
10.1%
4 135
 
9.7%
6 117
 
8.4%
8 100
 
7.2%
3 87
 
6.3%
5 60
 
4.3%
7 56
 
4.0%
9 49
 
3.5%
Other values (2) 66
 
4.7%

현재체중
Text

Distinct292
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Memory size3.7 KiB
2024-01-10T06:45:55.106637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.0767544
Min length1

Characters and Unicode

Total characters1403
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)53.7%

Sample

1st row1008
2nd row1008
3rd row1008
4th row98
5th row70
ValueCountFrequency (%)
0 101
 
22.1%
24 5
 
1.1%
128 4
 
0.9%
68 4
 
0.9%
1008 3
 
0.7%
120 3
 
0.7%
10 3
 
0.7%
82 3
 
0.7%
142 3
 
0.7%
8 3
 
0.7%
Other values (282) 324
71.1%
2024-01-10T06:45:55.715610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 363
25.9%
1 221
15.8%
2 148
10.5%
4 129
 
9.2%
6 112
 
8.0%
8 103
 
7.3%
3 81
 
5.8%
5 64
 
4.6%
7 58
 
4.1%
9 57
 
4.1%
Other values (2) 67
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1336
95.2%
Other Punctuation 67
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 363
27.2%
1 221
16.5%
2 148
11.1%
4 129
 
9.7%
6 112
 
8.4%
8 103
 
7.7%
3 81
 
6.1%
5 64
 
4.8%
7 58
 
4.3%
9 57
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 45
67.2%
. 22
32.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1403
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 363
25.9%
1 221
15.8%
2 148
10.5%
4 129
 
9.2%
6 112
 
8.0%
8 103
 
7.3%
3 81
 
5.8%
5 64
 
4.6%
7 58
 
4.1%
9 57
 
4.1%
Other values (2) 67
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1403
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 363
25.9%
1 221
15.8%
2 148
10.5%
4 129
 
9.2%
6 112
 
8.0%
8 103
 
7.3%
3 81
 
5.8%
5 64
 
4.6%
7 58
 
4.1%
9 57
 
4.1%
Other values (2) 67
 
4.8%

임상적최종진단
Text

MISSING 

Distinct293
Distinct (%)65.3%
Missing7
Missing (%)1.5%
Memory size3.7 KiB
2024-01-10T06:45:55.946015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39
Mean length12.501114
Min length2

Characters and Unicode

Total characters5613
Distinct characters293
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

Unique260 ?
Unique (%)57.9%

Sample

1st row미아
2nd row미아
3rd row미아
4th row척추 골절
5th row척추 골절
ValueCountFrequency (%)
미아 105
 
6.4%
의한 83
 
5.1%
및 71
 
4.3%
골절 71
 
4.3%
충돌에 60
 
3.7%
단순 56
 
3.4%
좌측 54
 
3.3%
우측 53
 
3.2%
개방골절 35
 
2.1%
뇌진탕 35
 
2.1%
Other values (393) 1014
61.9%
2024-01-10T06:45:56.331897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1206
 
21.5%
골 239
 
4.3%
절 171
 
3.0%
한 127
 
2.3%
측 125
 
2.2%
미 121
 
2.2%
아 116
 
2.1%
개 115
 
2.0%
충 113
 
2.0%
의 96
 
1.7%
Other values (283) 3184
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4013
71.5%
Space Separator 1206
 
21.5%
Lowercase Letter 121
 
2.2%
Other Punctuation 110
 
2.0%
Uppercase Letter 69
 
1.2%
Decimal Number 55
 
1.0%
Open Punctuation 17
 
0.3%
Close Punctuation 17
 
0.3%
Math Symbol 3
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 239
 
6.0%
절 171
 
4.3%
한 127
 
3.2%
측 125
 
3.1%
미 121
 
3.0%
아 116
 
2.9%
개 115
 
2.9%
충 113
 
2.8%
의 96
 
2.4%
에 92
 
2.3%
Other values (233) 2698
67.2%
Lowercase Letter
ValueCountFrequency (%)
a 16
13.2%
n 11
 
9.1%
o 10
 
8.3%
t 10
 
8.3%
r 9
 
7.4%
i 8
 
6.6%
l 8
 
6.6%
e 7
 
5.8%
x 5
 
4.1%
u 5
 
4.1%
Other values (11) 32
26.4%
Uppercase Letter
ValueCountFrequency (%)
L 30
43.5%
H 8
 
11.6%
C 8
 
11.6%
B 8
 
11.6%
T 7
 
10.1%
A 2
 
2.9%
R 2
 
2.9%
E 1
 
1.4%
M 1
 
1.4%
N 1
 
1.4%
Decimal Number
ValueCountFrequency (%)
5 14
25.5%
2 13
23.6%
3 8
14.5%
1 7
12.7%
6 6
10.9%
4 5
 
9.1%
9 1
 
1.8%
7 1
 
1.8%
Other Punctuation
ValueCountFrequency (%)
, 81
73.6%
/ 19
 
17.3%
. 8
 
7.3%
& 1
 
0.9%
# 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4013
71.5%
Common 1410
 
25.1%
Latin 190
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 239
 
6.0%
절 171
 
4.3%
한 127
 
3.2%
측 125
 
3.1%
미 121
 
3.0%
아 116
 
2.9%
개 115
 
2.9%
충 113
 
2.8%
의 96
 
2.4%
에 92
 
2.3%
Other values (233) 2698
67.2%
Latin
ValueCountFrequency (%)
L 30
15.8%
a 16
 
8.4%
n 11
 
5.8%
o 10
 
5.3%
t 10
 
5.3%
r 9
 
4.7%
H 8
 
4.2%
i 8
 
4.2%
C 8
 
4.2%
B 8
 
4.2%
Other values (22) 72
37.9%
Common
ValueCountFrequency (%)
1206
85.5%
, 81
 
5.7%
/ 19
 
1.3%
( 17
 
1.2%
) 17
 
1.2%
5 14
 
1.0%
2 13
 
0.9%
. 8
 
0.6%
3 8
 
0.6%
1 7
 
0.5%
Other values (8) 20
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4013
71.5%
ASCII 1600
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1206
75.4%
, 81
 
5.1%
L 30
 
1.9%
/ 19
 
1.2%
( 17
 
1.1%
) 17
 
1.1%
a 16
 
1.0%
5 14
 
0.9%
2 13
 
0.8%
n 11
 
0.7%
Other values (40) 176
 
11.0%
Hangul
ValueCountFrequency (%)
골 239
 
6.0%
절 171
 
4.3%
한 127
 
3.2%
측 125
 
3.1%
미 121
 
3.0%
아 116
 
2.9%
개 115
 
2.9%
충 113
 
2.8%
의 96
 
2.4%
에 92
 
2.3%
Other values (233) 2698
67.2%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-1249흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-08-012019-10-09방생충청남도 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
12019-1250흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-08-012019-10-09방생충청남도 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
22019-1251흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-08-012019-10-09방생충청남도 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
32019-0761꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-06-132019-06-14안락사<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
42019-0762꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-06-132019-06-14안락사<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
52019-1313괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-08-182019-08-19DOA<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
62019-1506큰재갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-10-122019-10-12DOA<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
72019-0090오색딱다구리조강(Aves)딱다구리목딱다구리과해당없음해당없음해당없음2019-02-202019-02-22DOA<NA>기타FemaleAdult37.020528126.52794412<NA><NA><NA>충청남도 당진시 석문면 교로리 557-59건물옆전선/건물과의 충돌유리창 충돌37 01 13.9126 31 40.6<NA><NA>5858충돌로 인한 뇌진탕
82019-0011멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2018-12-292019-01-04폐사체<NA>기타UnknownAdult37.032639126.5096112<NA><NA>논 근처(추정)충청남도 당진시 석문면 교로리 1490농경지총상밀렵단속중 발견,18-1289 쇠기러기와 함께 발견된 폐사체37 01 57.5126 30 34.6<NA><NA>270270총상과 그로 인한 양측 대퇴골, 우측 척골 원위부 골절
92019-0012멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2018-12-292019-01-04폐사체<NA>기타UnknownAdult37.032639126.5096112<NA><NA>논 근처(추정)충청남도 당진시 석문면 교로리 1490농경지총상밀렵단속중 발견,18-1289 쇠기러기와 함께 발견된 폐사체37 01 57.5126 30 34.6<NA><NA>260260총상으로 인한 다발성 골절
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
4462022-2244너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-10-312022-10-31폐사체<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일37.00.219126.31.52319<NA><NA>도로충남 당진시 석문면 삼봉리 1123-26도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>6,0006,000우측 대퇴 골절, 복강장기 노출
4472022-2245너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-10-312022-10-31폐사체<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.52.550126.48.04214<NA><NA>자강산업 부지 내충남 당진시 신평면 도성리 453-1건물옆- 기생충 중감염개선충 중감염<NA><NA><NA><NA>2,7802,780개선충 중감염
4482022-2254너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-012022-11-02DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.52.395126.48.41117<NA><NA>주소지 내 밭충남 당진시 신평면 신당리 10-3농경지- 기생충 중감염개선충 감염<NA><NA><NA><NA>4,5404,540개선충, 좌측 대퇴골절
4492022-2367너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-242022-12-06폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일37.03.026126.30.4490<NA><NA>한국동서발전 화력발전소 부지 내충남 당진시 석문면 교로길 30건물옆- 기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>4,3003,410개선충 중감염
4502022-2373너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-272022-11-27DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.54.503126.44.3720<NA><NA>가정집충남 당진시 송악읍 금곡길 147-2건물옆- 기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>00개선충 중감염
4512022-2432너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-12-122022-12-12폐사체<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Unknown0년0월0일36.54.425126.47.4980<NA><NA>당진평택항 중앙부두 창고 A동 인근충남 당진시 신평면 매산리 976-4건물옆- 알 수 없는 사고알 수 없는 사고/<NA><NA><NA><NA>1,4001,400알 수 없음
4522022-1938족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-08-202022-08-20폐사체<NA>냉동(신냉동창고)(투입박스(일반))Male0년0월0일36.48.237126.43.20238<NA><NA>도로 위충남 당진시 합덕읍 도곡리 434-8도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>930930차량 충돌에 의한 다발성 골절 및 심각한 두부 손상
4532022-0011집쥐(시궁쥐)포유강(Mammalia)쥐목쥐과해당없음해당없음해당없음2022-01-032022-01-03DOA<NA>냉동(신냉동창고)(투입박스(일반))Unknown0년0월0일36.58.455126.36.21913<NA><NA>GS25 당진석문로드점 화장실 앞충남 당진시 석문면 통정리 65-3건물옆- 개, 고양이 공격개, 고양이 공격/고양이 공격<NA><NA><NA><NA>128128고양이 공격에 의한 내부 장기 손상 추정
4542022-0319청설모포유강(Mammalia)쥐목청서과해당없음해당없음해당없음2022-03-122022-03-12폐사체<NA>폐기Unknown0년0월0일36.51.126126.31.56744<NA><NA>건물앞 도로변충남 당진시 정미면 하성리 199-4도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>00차량 충돌에 의한 폐사 추정
4552022-1664청설모포유강(Mammalia)쥐목청서과해당없음해당없음해당없음2022-07-172022-07-17폐사체<NA>폐기Unknown0년0월0일36.48.330126.45.33938<NA><NA>도로중앙선충남 당진시 합덕읍 운산리 741-32도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>00HBC