Overview

Dataset statistics

Number of variables32
Number of observations409
Missing cells1858
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory103.6 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, 서산시 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=15109273

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 has 274 (67.0%) missing valuesMissing
방생위도 has 324 (79.2%) missing valuesMissing
방생경도 has 324 (79.2%) missing valuesMissing
발견장소상세 has 21 (5.1%) missing valuesMissing
TM구조위도 has 134 (32.8%) missing valuesMissing
TM구조경도 has 134 (32.8%) missing valuesMissing
TM방생위도 has 323 (79.0%) missing valuesMissing
TM방생경도 has 323 (79.0%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 10 (2.4%) zerosZeros

Reproduction

Analysis started2024-01-09 21:42:36.073830
Analysis finished2024-01-09 21:42:36.937796
Duration0.86 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct409
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:37.146193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3681
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

Unique409 ?
Unique (%)100.0%

Sample

1st row2019-1038
2nd row2019-1447
3rd row2019-1048
4th row2019-1209
5th row2019-0028
ValueCountFrequency (%)
2019-1038 1
 
0.2%
2021-1842 1
 
0.2%
2022-1183 1
 
0.2%
2022-0272 1
 
0.2%
2022-0298 1
 
0.2%
2022-0177 1
 
0.2%
2021-0436 1
 
0.2%
2021-1986 1
 
0.2%
2021-1978 1
 
0.2%
2021-1973 1
 
0.2%
Other values (399) 399
97.6%
2024-01-10T06:42:37.489279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1030
28.0%
0 839
22.8%
1 494
13.4%
- 409
 
11.1%
9 165
 
4.5%
4 143
 
3.9%
3 133
 
3.6%
6 124
 
3.4%
7 116
 
3.2%
8 114
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3272
88.9%
Dash Punctuation 409
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1030
31.5%
0 839
25.6%
1 494
15.1%
9 165
 
5.0%
4 143
 
4.4%
3 133
 
4.1%
6 124
 
3.8%
7 116
 
3.5%
8 114
 
3.5%
5 114
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 409
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3681
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1030
28.0%
0 839
22.8%
1 494
13.4%
- 409
 
11.1%
9 165
 
4.5%
4 143
 
3.9%
3 133
 
3.6%
6 124
 
3.4%
7 116
 
3.2%
8 114
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3681
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1030
28.0%
0 839
22.8%
1 494
13.4%
- 409
 
11.1%
9 165
 
4.5%
4 143
 
3.9%
3 133
 
3.6%
6 124
 
3.4%
7 116
 
3.2%
8 114
 
3.1%

동물국문명
Text

Distinct56
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:37.648778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.3569682
Min length1

Characters and Unicode

Total characters1373
Distinct characters98
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)5.4%

Sample

1st row꿩
2nd row꿩
3rd row괭이갈매기
4th row괭이갈매기
5th row물닭
ValueCountFrequency (%)
고라니 78
19.1%
너구리 53
13.0%
멧비둘기 48
11.7%
까치 25
 
6.1%
직박구리 18
 
4.4%
흰뺨검둥오리 17
 
4.2%
괭이갈매기 17
 
4.2%
참새 12
 
2.9%
딱새 12
 
2.9%
물까치 11
 
2.7%
Other values (46) 118
28.9%
2024-01-10T06:42:37.903540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 108
 
7.9%
기 90
 
6.6%
라 79
 
5.8%
고 78
 
5.7%
니 78
 
5.7%
구 75
 
5.5%
비 71
 
5.2%
새 56
 
4.1%
너 53
 
3.9%
둘 53
 
3.9%
Other values (88) 632
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1370
99.8%
Other Symbol 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 108
 
7.9%
기 90
 
6.6%
라 79
 
5.8%
고 78
 
5.7%
니 78
 
5.7%
구 75
 
5.5%
비 71
 
5.2%
새 56
 
4.1%
너 53
 
3.9%
둘 53
 
3.9%
Other values (87) 629
45.9%
Other Symbol
ValueCountFrequency (%)
㉵ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1373
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 108
 
7.9%
기 90
 
6.6%
라 79
 
5.8%
고 78
 
5.7%
니 78
 
5.7%
구 75
 
5.5%
비 71
 
5.2%
새 56
 
4.1%
너 53
 
3.9%
둘 53
 
3.9%
Other values (88) 632
46.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1370
99.8%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 108
 
7.9%
기 90
 
6.6%
라 79
 
5.8%
고 78
 
5.7%
니 78
 
5.7%
구 75
 
5.5%
비 71
 
5.2%
새 56
 
4.1%
너 53
 
3.9%
둘 53
 
3.9%
Other values (87) 629
45.9%
None
ValueCountFrequency (%)
㉵ 3
100.0%

강
Categorical

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
조강(Aves)
263 
포유강(Mammalia)
143 
파충강(Reptilia)
 
3

Length

Max length13
Median length8
Mean length9.7848411
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
64.3%
포유강(Mammalia) 143
35.0%
파충강(Reptilia) 3
 
0.7%

Length

2024-01-10T06:42:38.002032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:38.081112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 263
64.3%
포유강(mammalia 143
35.0%
파충강(reptilia 3
 
0.7%

목
Categorical

Distinct15
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
참새목
128 
소목
78 
식육목
63 
비둘기목
53 
기러기목
25 
Other values (10)
62 

Length

Max length5
Median length3
Mean length3.0366748
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row닭목
2nd row닭목
3rd row도요목
4th row도요목
5th row두루미목

Common Values

ValueCountFrequency (%)
참새목 128
31.3%
소목 78
19.1%
식육목 63
15.4%
비둘기목 53
13.0%
기러기목 25
 
6.1%
도요목 18
 
4.4%
황새목 13
 
3.2%
파랑새목 12
 
2.9%
닭목 6
 
1.5%
두루미목 3
 
0.7%
Other values (5) 10
 
2.4%

Length

2024-01-10T06:42:38.170331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참새목 128
31.3%
소목 78
19.1%
식육목 63
15.4%
비둘기목 53
13.0%
기러기목 25
 
6.1%
도요목 18
 
4.4%
황새목 13
 
3.2%
파랑새목 12
 
2.9%
닭목 6
 
1.5%
두루미목 3
 
0.7%
Other values (5) 10
 
2.4%

과
Categorical

Distinct31
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
사슴과
78 
비둘기과
53 
개과
53 
까마귀과
38 
오리과
25 
Other values (26)
162 

Length

Max length9
Median length5
Mean length3.4621027
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

1st row꿩과
2nd row꿩과
3rd row갈매기과
4th row갈매기과
5th row뜸부기과

Common Values

ValueCountFrequency (%)
사슴과 78
19.1%
비둘기과 53
13.0%
개과 53
13.0%
까마귀과 38
9.3%
오리과 25
 
6.1%
직박구리과 19
 
4.6%
갈매기과 18
 
4.4%
솔딱새과 13
 
3.2%
왜가리과 13
 
3.2%
참새과 12
 
2.9%
Other values (21) 87
21.3%

Length

2024-01-10T06:42:38.263030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 78
19.1%
비둘기과 53
13.0%
개과 53
13.0%
까마귀과 38
9.3%
오리과 25
 
6.1%
직박구리과 19
 
4.6%
갈매기과 18
 
4.4%
솔딱새과 13
 
3.2%
왜가리과 13
 
3.2%
참새과 12
 
2.9%
Other values (21) 87
21.3%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
해당없음
409 

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 409
100.0%

Length

2024-01-10T06:42:38.563661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:38.634130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 409
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
해당없음
409 

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 409
100.0%

Length

2024-01-10T06:42:38.714602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:38.808993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 409
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
해당없음
409 

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 409
100.0%

Length

2024-01-10T06:42:38.905326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:39.000484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 409
100.0%

구조일시
Date

Distinct285
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2019-01-02 00:00:00
Maximum2022-12-25 00:00:00
2024-01-10T06:42:39.110606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:42:39.219921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct288
Distinct (%)70.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2019-01-10 00:00:00
Maximum2022-12-26 00:00:00
2024-01-10T06:42:39.322111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:42:39.435723image/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 size3.3 KiB
방생
134 
안락사
102 
폐사체
62 
폐사
59 
DOA
50 
Other values (2)
 
2

Length

Max length3
Median length3
Mean length2.5232274
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
방생 134
32.8%
안락사 102
24.9%
폐사체 62
15.2%
폐사 59
14.4%
DOA 50
 
12.2%
이첩 1
 
0.2%
기타 1
 
0.2%

Length

2024-01-10T06:42:39.536808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:39.631631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 134
32.8%
안락사 102
24.9%
폐사체 62
15.2%
폐사 59
14.4%
doa 50
 
12.2%
이첩 1
 
0.2%
기타 1
 
0.2%

이첩 방생 위치
Text

MISSING 

Distinct88
Distinct (%)65.2%
Missing274
Missing (%)67.0%
Memory size3.3 KiB
2024-01-10T06:42:39.831747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length20.118519
Min length9

Characters and Unicode

Total characters2716
Distinct characters128
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

Unique70 ?
Unique (%)51.9%

Sample

1st row충청남도 서산시 읍내동 562-14
2nd row충청남도 예산군 예산읍 주교리 460
3rd row충청남도 홍성군 장곡면 신풍리 582-3
4th row충청남도 예산군 대흥면 갈신리 산 53
5th row충청남도 서천군 화양면 활동리 283
ValueCountFrequency (%)
충청남도 86
 
12.5%
서산시 58
 
8.4%
예산군 51
 
7.4%
충남 48
 
7.0%
산 31
 
4.5%
예산읍 24
 
3.5%
대흥면 19
 
2.8%
해미면 17
 
2.5%
1 11
 
1.6%
대곡리 10
 
1.5%
Other values (185) 334
48.5%
2024-01-10T06:42:40.182094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
565
20.8%
산 196
 
7.2%
남 137
 
5.0%
충 135
 
5.0%
리 114
 
4.2%
1 104
 
3.8%
청 93
 
3.4%
도 89
 
3.3%
면 87
 
3.2%
예 86
 
3.2%
Other values (118) 1110
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1663
61.2%
Space Separator 565
 
20.8%
Decimal Number 413
 
15.2%
Dash Punctuation 75
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 196
 
11.8%
남 137
 
8.2%
충 135
 
8.1%
리 114
 
6.9%
청 93
 
5.6%
도 89
 
5.4%
면 87
 
5.2%
예 86
 
5.2%
시 70
 
4.2%
군 66
 
4.0%
Other values (106) 590
35.5%
Decimal Number
ValueCountFrequency (%)
1 104
25.2%
2 52
12.6%
8 46
11.1%
3 44
10.7%
5 39
 
9.4%
4 36
 
8.7%
9 30
 
7.3%
7 25
 
6.1%
0 23
 
5.6%
6 14
 
3.4%
Space Separator
ValueCountFrequency (%)
565
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1663
61.2%
Common 1053
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 196
 
11.8%
남 137
 
8.2%
충 135
 
8.1%
리 114
 
6.9%
청 93
 
5.6%
도 89
 
5.4%
면 87
 
5.2%
예 86
 
5.2%
시 70
 
4.2%
군 66
 
4.0%
Other values (106) 590
35.5%
Common
ValueCountFrequency (%)
565
53.7%
1 104
 
9.9%
- 75
 
7.1%
2 52
 
4.9%
8 46
 
4.4%
3 44
 
4.2%
5 39
 
3.7%
4 36
 
3.4%
9 30
 
2.8%
7 25
 
2.4%
Other values (2) 37
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1663
61.2%
ASCII 1053
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
565
53.7%
1 104
 
9.9%
- 75
 
7.1%
2 52
 
4.9%
8 46
 
4.4%
3 44
 
4.2%
5 39
 
3.7%
4 36
 
3.4%
9 30
 
2.8%
7 25
 
2.4%
Other values (2) 37
 
3.5%
Hangul
ValueCountFrequency (%)
산 196
 
11.8%
남 137
 
8.2%
충 135
 
8.1%
리 114
 
6.9%
청 93
 
5.6%
도 89
 
5.4%
면 87
 
5.2%
예 86
 
5.2%
시 70
 
4.2%
군 66
 
4.0%
Other values (106) 590
35.5%

사체처리
Categorical

Distinct8
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
기타
198 
<NA>
136 
냉동(신냉동창고)(투입박스(일반))
34 
폐기
26 
기타(협조)
 
9
Other values (3)
 
6

Length

Max length24
Median length2
Mean length4.4449878
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
기타 198
48.4%
<NA> 136
33.3%
냉동(신냉동창고)(투입박스(일반)) 34
 
8.3%
폐기 26
 
6.4%
기타(협조) 9
 
2.2%
냉동(구냉동창고)(성체고라니, 개선충너구리) 4
 
1.0%
냉동(표본제작실)(소형조류 1) 1
 
0.2%
냉동(신냉동창고)(선반) 1
 
0.2%

Length

2024-01-10T06:42:40.289287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:40.379655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 198
47.8%
na 136
32.9%
냉동(신냉동창고)(투입박스(일반 34
 
8.2%
폐기 26
 
6.3%
기타(협조 9
 
2.2%
냉동(구냉동창고)(성체고라니 4
 
1.0%
개선충너구리 4
 
1.0%
냉동(표본제작실)(소형조류 1
 
0.2%
1 1
 
0.2%
냉동(신냉동창고)(선반 1
 
0.2%

동물성별
Categorical

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Unknown
301 
Male
65 
Female
40 
Female()
 
3

Length

Max length8
Median length7
Mean length6.4327628
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 301
73.6%
Male 65
 
15.9%
Female 40
 
9.8%
Female() 3
 
0.7%

Length

2024-01-10T06:42:40.490671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:40.582729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 301
73.6%
male 65
 
15.9%
female 43
 
10.5%

동물연령
Categorical

Distinct26
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Juvenile
101 
0년0월0일
99 
Adult
70 
Unknown
47 
Nestling
45 
Other values (21)
47 

Length

Max length8
Median length7
Mean length6.6674817
Min length5

Unique

Unique10 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
Juvenile 101
24.7%
0년0월0일 99
24.2%
Adult 70
17.1%
Unknown 47
11.5%
Nestling 45
11.0%
0년3월0일 11
 
2.7%
0년1월0일 5
 
1.2%
0년8월0일 4
 
1.0%
0년4월0일 3
 
0.7%
0년10월0일 2
 
0.5%
Other values (16) 22
 
5.4%

Length

2024-01-10T06:42:40.676272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
juvenile 101
24.7%
0년0월0일 99
24.2%
adult 70
17.1%
unknown 47
11.5%
nestling 45
11.0%
0년3월0일 11
 
2.7%
0년1월0일 5
 
1.2%
0년8월0일 4
 
1.0%
0년4월0일 3
 
0.7%
1년0월0일 2
 
0.5%
Other values (16) 22
 
5.4%

구조위도
Text

Distinct316
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:40.909509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8606357
Min length1

Characters and Unicode

Total characters3624
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

Unique284 ?
Unique (%)69.4%

Sample

1st row36.630667
2nd row36.771944
3rd row36.966306
4th row36.626194
5th row36.662306
ValueCountFrequency (%)
36.47.562 10
 
2.4%
36.622306 9
 
2.2%
36.815333 9
 
2.2%
36.6955 8
 
2.0%
36.785611 7
 
1.7%
36.725611 6
 
1.5%
36.56.164 6
 
1.5%
36.763778 6
 
1.5%
36.41.480 5
 
1.2%
36.45.524 5
 
1.2%
Other values (306) 338
82.6%
2024-01-10T06:42:41.261283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 679
18.7%
3 616
17.0%
. 542
15.0%
7 356
9.8%
8 252
 
7.0%
4 231
 
6.4%
1 217
 
6.0%
5 213
 
5.9%
2 191
 
5.3%
9 175
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3082
85.0%
Other Punctuation 542
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 679
22.0%
3 616
20.0%
7 356
11.6%
8 252
 
8.2%
4 231
 
7.5%
1 217
 
7.0%
5 213
 
6.9%
2 191
 
6.2%
9 175
 
5.7%
0 152
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 542
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 679
18.7%
3 616
17.0%
. 542
15.0%
7 356
9.8%
8 252
 
7.0%
4 231
 
6.4%
1 217
 
6.0%
5 213
 
5.9%
2 191
 
5.3%
9 175
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 679
18.7%
3 616
17.0%
. 542
15.0%
7 356
9.8%
8 252
 
7.0%
4 231
 
6.4%
1 217
 
6.0%
5 213
 
5.9%
2 191
 
5.3%
9 175
 
4.8%

구조경도
Text

Distinct316
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:41.528166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8606357
Min length1

Characters and Unicode

Total characters4033
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

Unique280 ?
Unique (%)68.5%

Sample

1st row126.378417
2nd row126.434
3rd row126.335917
4th row126.363056
5th row126.362139
ValueCountFrequency (%)
126.566028 9
 
2.2%
126.380611 9
 
2.2%
126.30.487 9
 
2.2%
126.587417 8
 
2.0%
126.447917 7
 
1.7%
126.25.138 6
 
1.5%
126.539667 6
 
1.5%
126.452806 5
 
1.2%
126.30.029 5
 
1.2%
126.30.203 5
 
1.2%
Other values (306) 340
83.1%
2024-01-10T06:42:41.887428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 678
16.8%
6 636
15.8%
1 615
15.2%
. 542
13.4%
4 356
8.8%
3 260
 
6.4%
5 225
 
5.6%
0 200
 
5.0%
8 184
 
4.6%
7 180
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3491
86.6%
Other Punctuation 542
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 678
19.4%
6 636
18.2%
1 615
17.6%
4 356
10.2%
3 260
 
7.4%
5 225
 
6.4%
0 200
 
5.7%
8 184
 
5.3%
7 180
 
5.2%
9 157
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 542
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4033
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 678
16.8%
6 636
15.8%
1 615
15.2%
. 542
13.4%
4 356
8.8%
3 260
 
6.4%
5 225
 
5.6%
0 200
 
5.0%
8 184
 
4.6%
7 180
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4033
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 678
16.8%
6 636
15.8%
1 615
15.2%
. 542
13.4%
4 356
8.8%
3 260
 
6.4%
5 225
 
5.6%
0 200
 
5.0%
8 184
 
4.6%
7 180
 
4.5%

구조고도
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)23.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.256724
Minimum-6
Maximum188
Zeros10
Zeros (%)2.4%
Negative6
Negative (%)1.5%
Memory size3.7 KiB
2024-01-10T06:42:42.003485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6
5-th percentile2
Q116
median29
Q348
95-th percentile102.8
Maximum188
Range194
Interquartile range (IQR)32

Descriptive statistics

Standard deviation31.719359
Coefficient of variation (CV)0.87485454
Kurtosis5.1199771
Mean36.256724
Median Absolute Deviation (MAD)15
Skewness1.9685951
Sum14829
Variance1006.1178
MonotonicityNot monotonic
2024-01-10T06:42:42.116132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 18
 
4.4%
69 13
 
3.2%
48 13
 
3.2%
2 11
 
2.7%
15 11
 
2.7%
10 11
 
2.7%
17 10
 
2.4%
42 10
 
2.4%
0 10
 
2.4%
18 9
 
2.2%
Other values (84) 293
71.6%
ValueCountFrequency (%)
-6 1
 
0.2%
-5 1
 
0.2%
-2 2
 
0.5%
-1 2
 
0.5%
0 10
2.4%
1 1
 
0.2%
2 11
2.7%
3 2
 
0.5%
4 2
 
0.5%
5 9
2.2%
ValueCountFrequency (%)
188 1
 
0.2%
181 1
 
0.2%
179 1
 
0.2%
173 1
 
0.2%
142 1
 
0.2%
138 1
 
0.2%
137 8
2.0%
130 1
 
0.2%
126 1
 
0.2%
123 1
 
0.2%

방생위도
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)62.4%
Missing324
Missing (%)79.2%
Infinite0
Infinite (%)0.0%
Mean36.678734
Minimum36.064226
Maximum36.986698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-10T06:42:42.228529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.064226
5-th percentile36.462561
Q136.66023
median36.682111
Q336.765641
95-th percentile36.832362
Maximum36.986698
Range0.92247181
Interquartile range (IQR)0.10541165

Descriptive statistics

Standard deviation0.13781259
Coefficient of variation (CV)0.0037572887
Kurtosis7.5260679
Mean36.678734
Median Absolute Deviation (MAD)0.04391844
Skewness-2.1202449
Sum3117.6924
Variance0.018992311
MonotonicityNot monotonic
2024-01-10T06:42:42.330039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.67008139 8
 
2.0%
36.6956274 8
 
2.0%
36.66022951 7
 
1.7%
36.72602988 5
 
1.2%
36.76564116 4
 
1.0%
36.54518988 2
 
0.5%
36.77705442 2
 
0.5%
36.74747692 2
 
0.5%
36.66816249 2
 
0.5%
36.66606467 2
 
0.5%
Other values (43) 43
 
10.5%
(Missing) 324
79.2%
ValueCountFrequency (%)
36.06422618 1
0.2%
36.12216326 1
0.2%
36.25859263 1
0.2%
36.39631113 1
0.2%
36.46109385 1
0.2%
36.4684289 1
0.2%
36.48061028 1
0.2%
36.54518988 2
0.5%
36.5913255 1
0.2%
36.59639052 1
0.2%
ValueCountFrequency (%)
36.98669799 1
0.2%
36.92471354 1
0.2%
36.86168466 1
0.2%
36.84937242 1
0.2%
36.83523342 1
0.2%
36.82087755 1
0.2%
36.80449426 1
0.2%
36.79679157 1
0.2%
36.7930641 1
0.2%
36.79061142 1
0.2%

방생경도
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)62.4%
Missing324
Missing (%)79.2%
Infinite0
Infinite (%)0.0%
Mean126.67939
Minimum126.24515
Maximum127.35121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2024-01-10T06:42:42.433549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.24515
5-th percentile126.39841
Q1126.4874
median126.6051
Q3126.85967
95-th percentile127.01261
Maximum127.35121
Range1.1060688
Interquartile range (IQR)0.3722613

Descriptive statistics

Standard deviation0.22002294
Coefficient of variation (CV)0.0017368487
Kurtosis-0.25909303
Mean126.67939
Median Absolute Deviation (MAD)0.189424
Skewness0.3413975
Sum10767.748
Variance0.048410095
MonotonicityNot monotonic
2024-01-10T06:42:42.542252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8596661 8
 
2.0%
126.5874115 8
 
2.0%
126.812534 7
 
1.7%
126.5405653 5
 
1.2%
126.4749803 4
 
1.0%
127.0126067 2
 
0.5%
126.4874048 2
 
0.5%
126.2451452 2
 
0.5%
126.8644697 2
 
0.5%
126.8663143 2
 
0.5%
Other values (43) 43
 
10.5%
(Missing) 324
79.2%
ValueCountFrequency (%)
126.2451452 2
0.5%
126.331577 1
0.2%
126.3842421 1
0.2%
126.3940879 1
0.2%
126.4156788 1
0.2%
126.4201928 1
0.2%
126.4249631 1
0.2%
126.4272953 1
0.2%
126.4345645 1
0.2%
126.4422483 1
0.2%
ValueCountFrequency (%)
127.351214 1
0.2%
127.1448096 1
0.2%
127.0995629 1
0.2%
127.0963651 1
0.2%
127.0126067 2
0.5%
126.9384224 1
0.2%
126.9081588 1
0.2%
126.8764479 1
0.2%
126.8746726 1
0.2%
126.8671633 1
0.2%

발견장소상세
Text

MISSING 

Distinct248
Distinct (%)63.9%
Missing21
Missing (%)5.1%
Memory size3.3 KiB
2024-01-10T06:42:42.753808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length8.7139175
Min length1

Characters and Unicode

Total characters3381
Distinct characters311
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

Unique214 ?
Unique (%)55.2%

Sample

1st row서산버드랜드 내
2nd row(공림4로 19) 주소지 부근 건물 옆
3rd row벌천포해수욕장
4th row서산B지구 방조재 도로변
5th row미니스톱 서산부영점
ValueCountFrequency (%)
주소지 71
 
7.1%
부근 55
 
5.5%
도로변 41
 
4.1%
내 41
 
4.1%
앞 37
 
3.7%
건물 33
 
3.3%
옆 33
 
3.3%
인근 24
 
2.4%
농경지 21
 
2.1%
내부 19
 
1.9%
Other values (335) 624
62.5%
2024-01-10T06:42:43.100521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
626
 
18.5%
지 140
 
4.1%
주 122
 
3.6%
로 120
 
3.5%
소 100
 
3.0%
부 95
 
2.8%
근 87
 
2.6%
도 76
 
2.2%
내 65
 
1.9%
변 56
 
1.7%
Other values (301) 1894
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2620
77.5%
Space Separator 626
 
18.5%
Decimal Number 73
 
2.2%
Close Punctuation 18
 
0.5%
Open Punctuation 18
 
0.5%
Uppercase Letter 16
 
0.5%
Other Punctuation 6
 
0.2%
Dash Punctuation 3
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 140
 
5.3%
주 122
 
4.7%
로 120
 
4.6%
소 100
 
3.8%
부 95
 
3.6%
근 87
 
3.3%
도 76
 
2.9%
내 65
 
2.5%
변 56
 
2.1%
수 54
 
2.1%
Other values (275) 1705
65.1%
Decimal Number
ValueCountFrequency (%)
2 18
24.7%
1 18
24.7%
3 11
15.1%
0 6
 
8.2%
4 4
 
5.5%
9 4
 
5.5%
7 4
 
5.5%
6 3
 
4.1%
5 3
 
4.1%
8 2
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
B 3
18.8%
C 3
18.8%
S 2
12.5%
G 2
12.5%
U 2
12.5%
D 1
 
6.2%
A 1
 
6.2%
L 1
 
6.2%
K 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 4
66.7%
' 2
33.3%
Space Separator
ValueCountFrequency (%)
626
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2620
77.5%
Common 744
 
22.0%
Latin 17
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 140
 
5.3%
주 122
 
4.7%
로 120
 
4.6%
소 100
 
3.8%
부 95
 
3.6%
근 87
 
3.3%
도 76
 
2.9%
내 65
 
2.5%
변 56
 
2.1%
수 54
 
2.1%
Other values (275) 1705
65.1%
Common
ValueCountFrequency (%)
626
84.1%
) 18
 
2.4%
2 18
 
2.4%
1 18
 
2.4%
( 18
 
2.4%
3 11
 
1.5%
0 6
 
0.8%
, 4
 
0.5%
4 4
 
0.5%
9 4
 
0.5%
Other values (6) 17
 
2.3%
Latin
ValueCountFrequency (%)
B 3
17.6%
C 3
17.6%
S 2
11.8%
G 2
11.8%
U 2
11.8%
D 1
 
5.9%
A 1
 
5.9%
L 1
 
5.9%
K 1
 
5.9%
e 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2620
77.5%
ASCII 761
 
22.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
626
82.3%
) 18
 
2.4%
2 18
 
2.4%
1 18
 
2.4%
( 18
 
2.4%
3 11
 
1.4%
0 6
 
0.8%
, 4
 
0.5%
4 4
 
0.5%
9 4
 
0.5%
Other values (16) 34
 
4.5%
Hangul
ValueCountFrequency (%)
지 140
 
5.3%
주 122
 
4.7%
로 120
 
4.6%
소 100
 
3.8%
부 95
 
3.6%
근 87
 
3.3%
도 76
 
2.9%
내 65
 
2.5%
변 56
 
2.1%
수 54
 
2.1%
Other values (275) 1705
65.1%

발견주소
Text

Distinct322
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:43.299443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length19.537897
Min length12

Characters and Unicode

Total characters7991
Distinct characters145
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

Unique294 ?
Unique (%)71.9%

Sample

1st row충청남도 서산시 부석면 창리 5-1
2nd row충청남도 서산시 예천동 617-4
3rd row충청남도 서산시 대산읍 오지리 317-30
4th row충청남도 서산시 부석면 창리 338
5th row충청남도 서산시 부석면 마룡리 925
ValueCountFrequency (%)
서산시 406
21.2%
충청남도 275
 
14.4%
충남 134
 
7.0%
음암면 45
 
2.4%
대산읍 41
 
2.1%
부석면 39
 
2.0%
해미면 37
 
1.9%
읍내동 30
 
1.6%
성연면 22
 
1.2%
예천동 22
 
1.2%
Other values (452) 862
45.1%
2024-01-10T06:42:43.577620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1516
19.0%
산 527
 
6.6%
남 424
 
5.3%
서 416
 
5.2%
시 412
 
5.2%
충 411
 
5.1%
1 320
 
4.0%
도 302
 
3.8%
청 275
 
3.4%
- 269
 
3.4%
Other values (135) 3119
39.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4653
58.2%
Decimal Number 1553
 
19.4%
Space Separator 1516
 
19.0%
Dash Punctuation 269
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 527
11.3%
남 424
 
9.1%
서 416
 
8.9%
시 412
 
8.9%
충 411
 
8.8%
도 302
 
6.5%
청 275
 
5.9%
리 230
 
4.9%
면 221
 
4.7%
동 139
 
3.0%
Other values (123) 1296
27.9%
Decimal Number
ValueCountFrequency (%)
1 320
20.6%
2 222
14.3%
6 174
11.2%
3 162
10.4%
4 142
9.1%
5 141
9.1%
9 121
 
7.8%
0 109
 
7.0%
7 88
 
5.7%
8 74
 
4.8%
Space Separator
ValueCountFrequency (%)
1516
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 269
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4653
58.2%
Common 3338
41.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 527
11.3%
남 424
 
9.1%
서 416
 
8.9%
시 412
 
8.9%
충 411
 
8.8%
도 302
 
6.5%
청 275
 
5.9%
리 230
 
4.9%
면 221
 
4.7%
동 139
 
3.0%
Other values (123) 1296
27.9%
Common
ValueCountFrequency (%)
1516
45.4%
1 320
 
9.6%
- 269
 
8.1%
2 222
 
6.7%
6 174
 
5.2%
3 162
 
4.9%
4 142
 
4.3%
5 141
 
4.2%
9 121
 
3.6%
0 109
 
3.3%
Other values (2) 162
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4653
58.2%
ASCII 3338
41.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1516
45.4%
1 320
 
9.6%
- 269
 
8.1%
2 222
 
6.7%
6 174
 
5.2%
3 162
 
4.9%
4 142
 
4.3%
5 141
 
4.2%
9 121
 
3.6%
0 109
 
3.3%
Other values (2) 162
 
4.9%
Hangul
ValueCountFrequency (%)
산 527
11.3%
남 424
 
9.1%
서 416
 
8.9%
시 412
 
8.9%
충 411
 
8.8%
도 302
 
6.5%
청 275
 
5.9%
리 230
 
4.9%
면 221
 
4.7%
동 139
 
3.0%
Other values (123) 1296
27.9%

발견장소특징
Categorical

Distinct7
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
건물옆
223 
도로변
87 
농경지
55 
숲
 
16
기타
 
15
Other values (2)
 
13

Length

Max length5
Median length3
Mean length2.9413203
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 223
54.5%
도로변 87
 
21.3%
농경지 55
 
13.4%
숲 16
 
3.9%
기타 15
 
3.7%
강, 바다 12
 
2.9%
전선 1
 
0.2%

Length

2024-01-10T06:42:43.691487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:42:43.786093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 223
53.0%
도로변 87
 
20.7%
농경지 55
 
13.1%
숲 16
 
3.8%
기타 15
 
3.6%
강 12
 
2.9%
바다 12
 
2.9%
전선 1
 
0.2%

발생원인
Categorical

Distinct35
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
전선/건물과의 충돌
79 
차량과의 충돌
49 
- 어미를 잃음(미아)
48 
어미를 잃음(미아)
48 
기생충 중감염
28 
Other values (30)
157 

Length

Max length14
Median length13
Mean length9.5574572
Min length1

Unique

Unique7 ?
Unique (%)1.7%

Sample

1st row알 수 없는 사고
2nd row전선/건물과의 충돌
3rd row전선/건물과의 충돌
4th row차량과의 충돌
5th row차량과의 충돌

Common Values

ValueCountFrequency (%)
전선/건물과의 충돌 79
19.3%
차량과의 충돌 49
12.0%
- 어미를 잃음(미아) 48
11.7%
어미를 잃음(미아) 48
11.7%
기생충 중감염 28
 
6.8%
인공구조물 침입·고립 18
 
4.4%
- 차량과의 충돌 18
 
4.4%
- 전선/건물과의 충돌 18
 
4.4%
- 농수로 고립 14
 
3.4%
개, 고양이 공격 10
 
2.4%
Other values (25) 79
19.3%

Length

2024-01-10T06:42:43.888838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 164
16.8%
134
13.7%
전선/건물과의 97
9.9%
어미를 96
9.8%
잃음(미아 96
9.8%
차량과의 67
 
6.9%
기생충 37
 
3.8%
중감염 37
 
3.8%
인공구조물 23
 
2.4%
침입·고립 23
 
2.4%
Other values (27) 204
20.9%

발생원인 세부사항
Text

Distinct134
Distinct (%)32.8%
Missing1
Missing (%)0.2%
Memory size3.3 KiB
2024-01-10T06:42:44.085643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length23
Mean length10.078431
Min length1

Characters and Unicode

Total characters4112
Distinct characters189
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)21.1%

Sample

1st row원인파악 불가, 서산버드랜드 방문객이 구조 후 사무소에 전달
2nd row건물 유리창과 충돌
3rd row전선과의 충돌 추정
4th row차량과의 충돌 추정
5th row차량충돌 추정
ValueCountFrequency (%)
충돌 148
 
13.8%
어미를 70
 
6.5%
잃음(미아 57
 
5.3%
차량과의 51
 
4.7%
추정 50
 
4.7%
고립 39
 
3.6%
유리 29
 
2.7%
구조물 28
 
2.6%
기생충 24
 
2.2%
미아 23
 
2.1%
Other values (167) 556
51.7%
2024-01-10T06:42:44.351962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
683
 
16.6%
충 245
 
6.0%
돌 183
 
4.5%
미 159
 
3.9%
물 95
 
2.3%
아 91
 
2.2%
음 87
 
2.1%
/ 86
 
2.1%
( 83
 
2.0%
) 83
 
2.0%
Other values (179) 2317
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3155
76.7%
Space Separator 683
 
16.6%
Other Punctuation 106
 
2.6%
Open Punctuation 83
 
2.0%
Close Punctuation 83
 
2.0%
Decimal Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 245
 
7.8%
돌 183
 
5.8%
미 159
 
5.0%
물 95
 
3.0%
아 91
 
2.9%
음 87
 
2.8%
고 80
 
2.5%
의 78
 
2.5%
차 76
 
2.4%
량 76
 
2.4%
Other values (171) 1985
62.9%
Other Punctuation
ValueCountFrequency (%)
/ 86
81.1%
, 15
 
14.2%
· 4
 
3.8%
. 1
 
0.9%
Space Separator
ValueCountFrequency (%)
683
100.0%
Open Punctuation
ValueCountFrequency (%)
( 83
100.0%
Close Punctuation
ValueCountFrequency (%)
) 83
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3155
76.7%
Common 957
 
23.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 245
 
7.8%
돌 183
 
5.8%
미 159
 
5.0%
물 95
 
3.0%
아 91
 
2.9%
음 87
 
2.8%
고 80
 
2.5%
의 78
 
2.5%
차 76
 
2.4%
량 76
 
2.4%
Other values (171) 1985
62.9%
Common
ValueCountFrequency (%)
683
71.4%
/ 86
 
9.0%
( 83
 
8.7%
) 83
 
8.7%
, 15
 
1.6%
· 4
 
0.4%
1 2
 
0.2%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3155
76.7%
ASCII 953
 
23.2%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
683
71.7%
/ 86
 
9.0%
( 83
 
8.7%
) 83
 
8.7%
, 15
 
1.6%
1 2
 
0.2%
. 1
 
0.1%
Hangul
ValueCountFrequency (%)
충 245
 
7.8%
돌 183
 
5.8%
미 159
 
5.0%
물 95
 
3.0%
아 91
 
2.9%
음 87
 
2.8%
고 80
 
2.5%
의 78
 
2.5%
차 76
 
2.4%
량 76
 
2.4%
Other values (171) 1985
62.9%
None
ValueCountFrequency (%)
· 4
100.0%

TM구조위도
Text

MISSING 

Distinct215
Distinct (%)78.2%
Missing134
Missing (%)32.8%
Memory size3.3 KiB
2024-01-10T06:42:44.639795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2750
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

Unique195 ?
Unique (%)70.9%

Sample

1st row36 37 50.4
2nd row36 46 19.0
3rd row36 57 58.7
4th row36 37 34.3
5th row36 39 44.3
ValueCountFrequency (%)
36 272
33.0%
46 64
 
7.8%
47 37
 
4.5%
45 23
 
2.8%
48 21
 
2.5%
41 20
 
2.4%
37 19
 
2.3%
43 14
 
1.7%
42 13
 
1.6%
20.3 11
 
1.3%
Other values (198) 331
40.1%
2024-01-10T06:42:45.021259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
550
20.0%
3 427
15.5%
6 388
14.1%
4 313
11.4%
. 275
10.0%
5 161
 
5.9%
0 157
 
5.7%
2 120
 
4.4%
1 104
 
3.8%
7 98
 
3.6%
Other values (2) 157
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1925
70.0%
Space Separator 550
 
20.0%
Other Punctuation 275
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 427
22.2%
6 388
20.2%
4 313
16.3%
5 161
 
8.4%
0 157
 
8.2%
2 120
 
6.2%
1 104
 
5.4%
7 98
 
5.1%
8 86
 
4.5%
9 71
 
3.7%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 275
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2750
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
550
20.0%
3 427
15.5%
6 388
14.1%
4 313
11.4%
. 275
10.0%
5 161
 
5.9%
0 157
 
5.7%
2 120
 
4.4%
1 104
 
3.8%
7 98
 
3.6%
Other values (2) 157
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2750
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
550
20.0%
3 427
15.5%
6 388
14.1%
4 313
11.4%
. 275
10.0%
5 161
 
5.9%
0 157
 
5.7%
2 120
 
4.4%
1 104
 
3.8%
7 98
 
3.6%
Other values (2) 157
 
5.7%

TM구조경도
Text

MISSING 

Distinct214
Distinct (%)77.8%
Missing134
Missing (%)32.8%
Memory size3.3 KiB
2024-01-10T06:42:45.321071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3025
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique190 ?
Unique (%)69.1%

Sample

1st row126 22 42.3
2nd row126 26 02.4
3rd row126 20 09.3
4th row126 21 47.0
5th row126 21 43.7
ValueCountFrequency (%)
126 274
33.2%
27 59
 
7.2%
26 55
 
6.7%
22 20
 
2.4%
25 15
 
1.8%
32 14
 
1.7%
30 13
 
1.6%
21 13
 
1.6%
35 13
 
1.6%
24 12
 
1.5%
Other values (200) 337
40.8%
2024-01-10T06:42:45.708234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 620
20.5%
550
18.2%
1 401
13.3%
6 379
12.5%
. 275
9.1%
3 192
 
6.3%
5 131
 
4.3%
7 123
 
4.1%
4 115
 
3.8%
0 111
 
3.7%
Other values (2) 128
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2200
72.7%
Space Separator 550
 
18.2%
Other Punctuation 275
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 620
28.2%
1 401
18.2%
6 379
17.2%
3 192
 
8.7%
5 131
 
6.0%
7 123
 
5.6%
4 115
 
5.2%
0 111
 
5.0%
9 69
 
3.1%
8 59
 
2.7%
Space Separator
ValueCountFrequency (%)
550
100.0%
Other Punctuation
ValueCountFrequency (%)
. 275
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3025
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 620
20.5%
550
18.2%
1 401
13.3%
6 379
12.5%
. 275
9.1%
3 192
 
6.3%
5 131
 
4.3%
7 123
 
4.1%
4 115
 
3.8%
0 111
 
3.7%
Other values (2) 128
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3025
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 620
20.5%
550
18.2%
1 401
13.3%
6 379
12.5%
. 275
9.1%
3 192
 
6.3%
5 131
 
4.3%
7 123
 
4.1%
4 115
 
3.8%
0 111
 
3.7%
Other values (2) 128
 
4.2%

TM방생위도
Text

MISSING 

Distinct62
Distinct (%)72.1%
Missing323
Missing (%)79.0%
Memory size3.3 KiB
2024-01-10T06:42:45.890356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters860
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

Unique54 ?
Unique (%)62.8%

Sample

1st row36 47 25.8
2nd row36 40 50.7
3rd row36 28 55.4
4th row36 39 57.7
5th row36 03 51.0
ValueCountFrequency (%)
36 87
33.7%
40 15
 
5.8%
39 12
 
4.7%
41 9
 
3.5%
43.8 8
 
3.1%
36.6 7
 
2.7%
43 7
 
2.7%
46 7
 
2.7%
32.2 5
 
1.9%
56.3 4
 
1.6%
Other values (75) 97
37.6%
2024-01-10T06:42:46.158150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
20.0%
3 158
18.4%
6 121
14.1%
. 86
10.0%
4 81
9.4%
5 46
 
5.3%
0 42
 
4.9%
1 38
 
4.4%
2 38
 
4.4%
7 30
 
3.5%
Other values (2) 48
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 602
70.0%
Space Separator 172
 
20.0%
Other Punctuation 86
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 158
26.2%
6 121
20.1%
4 81
13.5%
5 46
 
7.6%
0 42
 
7.0%
1 38
 
6.3%
2 38
 
6.3%
7 30
 
5.0%
9 26
 
4.3%
8 22
 
3.7%
Space Separator
ValueCountFrequency (%)
172
100.0%
Other Punctuation
ValueCountFrequency (%)
. 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 860
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
172
20.0%
3 158
18.4%
6 121
14.1%
. 86
10.0%
4 81
9.4%
5 46
 
5.3%
0 42
 
4.9%
1 38
 
4.4%
2 38
 
4.4%
7 30
 
3.5%
Other values (2) 48
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 860
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
20.0%
3 158
18.4%
6 121
14.1%
. 86
10.0%
4 81
9.4%
5 46
 
5.3%
0 42
 
4.9%
1 38
 
4.4%
2 38
 
4.4%
7 30
 
3.5%
Other values (2) 48
 
5.6%

TM방생경도
Text

MISSING 

Distinct62
Distinct (%)72.1%
Missing323
Missing (%)79.0%
Memory size3.3 KiB
2024-01-10T06:42:46.351101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters946
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

Unique54 ?
Unique (%)62.8%

Sample

1st row126 26 43.1
2nd row126 49 19.6
3rd row126 41 52.8
4th row126 51 58.8
5th row126 47 22.0
ValueCountFrequency (%)
126 80
31.0%
51 15
 
5.8%
14.7 8
 
3.1%
48 8
 
3.1%
35 8
 
3.1%
45.0 7
 
2.7%
32 7
 
2.7%
127 6
 
2.3%
26 5
 
1.9%
29.5 5
 
1.9%
Other values (84) 109
42.2%
2024-01-10T06:42:46.909087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
172
18.2%
2 157
16.6%
1 130
13.7%
6 97
10.3%
. 86
9.1%
5 69
7.3%
4 66
 
7.0%
3 46
 
4.9%
8 42
 
4.4%
0 36
 
3.8%
Other values (2) 45
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 688
72.7%
Space Separator 172
 
18.2%
Other Punctuation 86
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 157
22.8%
1 130
18.9%
6 97
14.1%
5 69
10.0%
4 66
9.6%
3 46
 
6.7%
8 42
 
6.1%
0 36
 
5.2%
7 26
 
3.8%
9 19
 
2.8%
Space Separator
ValueCountFrequency (%)
172
100.0%
Other Punctuation
ValueCountFrequency (%)
. 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 946
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
172
18.2%
2 157
16.6%
1 130
13.7%
6 97
10.3%
. 86
9.1%
5 69
7.3%
4 66
 
7.0%
3 46
 
4.9%
8 42
 
4.4%
0 36
 
3.8%
Other values (2) 45
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 946
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
172
18.2%
2 157
16.6%
1 130
13.7%
6 97
10.3%
. 86
9.1%
5 69
7.3%
4 66
 
7.0%
3 46
 
4.9%
8 42
 
4.4%
0 36
 
3.8%
Other values (2) 45
 
4.8%

등록체중
Text

Distinct262
Distinct (%)64.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:47.192444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9119804
Min length1

Characters and Unicode

Total characters1191
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

Unique218 ?
Unique (%)53.3%

Sample

1st row222
2nd row1152
3rd row424
4th row400
5th row446
ValueCountFrequency (%)
0 82
 
20.0%
31 7
 
1.7%
9.1 6
 
1.5%
9 4
 
1.0%
64 4
 
1.0%
130 4
 
1.0%
138 3
 
0.7%
7 3
 
0.7%
44 3
 
0.7%
29 3
 
0.7%
Other values (252) 290
70.9%
2024-01-10T06:42:47.576901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 268
22.5%
1 187
15.7%
4 147
12.3%
2 109
9.2%
6 96
 
8.1%
8 85
 
7.1%
3 84
 
7.1%
5 58
 
4.9%
9 55
 
4.6%
7 41
 
3.4%
Other values (2) 61
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1130
94.9%
Other Punctuation 61
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 268
23.7%
1 187
16.5%
4 147
13.0%
2 109
9.6%
6 96
 
8.5%
8 85
 
7.5%
3 84
 
7.4%
5 58
 
5.1%
9 55
 
4.9%
7 41
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 31
50.8%
. 30
49.2%

Most occurring scripts

ValueCountFrequency (%)
Common 1191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 268
22.5%
1 187
15.7%
4 147
12.3%
2 109
9.2%
6 96
 
8.1%
8 85
 
7.1%
3 84
 
7.1%
5 58
 
4.9%
9 55
 
4.6%
7 41
 
3.4%
Other values (2) 61
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 268
22.5%
1 187
15.7%
4 147
12.3%
2 109
9.2%
6 96
 
8.1%
8 85
 
7.1%
3 84
 
7.1%
5 58
 
4.9%
9 55
 
4.6%
7 41
 
3.4%
Other values (2) 61
 
5.1%

현재체중
Text

Distinct263
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:47.892547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.9290954
Min length1

Characters and Unicode

Total characters1198
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

Unique219 ?
Unique (%)53.5%

Sample

1st row380
2nd row1152
3rd row424
4th row386
5th row446
ValueCountFrequency (%)
0 83
 
20.3%
453 7
 
1.7%
14 4
 
1.0%
138 4
 
1.0%
16 3
 
0.7%
124 3
 
0.7%
180 3
 
0.7%
64 3
 
0.7%
44 3
 
0.7%
56 3
 
0.7%
Other values (253) 293
71.6%
2024-01-10T06:42:48.286422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 278
23.2%
1 171
14.3%
4 149
12.4%
2 103
 
8.6%
6 98
 
8.2%
3 96
 
8.0%
8 93
 
7.8%
5 70
 
5.8%
9 42
 
3.5%
7 41
 
3.4%
Other values (2) 57
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1141
95.2%
Other Punctuation 57
 
4.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 278
24.4%
1 171
15.0%
4 149
13.1%
2 103
 
9.0%
6 98
 
8.6%
3 96
 
8.4%
8 93
 
8.2%
5 70
 
6.1%
9 42
 
3.7%
7 41
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 32
56.1%
. 25
43.9%

Most occurring scripts

ValueCountFrequency (%)
Common 1198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 278
23.2%
1 171
14.3%
4 149
12.4%
2 103
 
8.6%
6 98
 
8.2%
3 96
 
8.0%
8 93
 
7.8%
5 70
 
5.8%
9 42
 
3.5%
7 41
 
3.4%
Other values (2) 57
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 278
23.2%
1 171
14.3%
4 149
12.4%
2 103
 
8.6%
6 98
 
8.2%
3 96
 
8.0%
8 93
 
7.8%
5 70
 
5.8%
9 42
 
3.5%
7 41
 
3.4%
Other values (2) 57
 
4.8%

임상적최종진단
Text

Distinct265
Distinct (%)64.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2024-01-10T06:42:48.510352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length34
Mean length12.858191
Min length2

Characters and Unicode

Total characters5259
Distinct characters306
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

Unique239 ?
Unique (%)58.4%

Sample

1st row양측 부척골 폐쇄골절
2nd row유리창 충돌 개체
3rd row우측 상완골 진구성 개방골절, malunion
4th row좌측 요골 및 척골 개방골절/좌측 대퇴골 골절
5th row차량충돌 추정 개체
ValueCountFrequency (%)
미아 85
 
5.5%
의한 81
 
5.2%
및 74
 
4.8%
골절 63
 
4.0%
단순 57
 
3.7%
개체 50
 
3.2%
충돌에 49
 
3.1%
우측 46
 
3.0%
좌측 35
 
2.2%
뇌진탕 35
 
2.2%
Other values (380) 981
63.0%
2024-01-10T06:42:48.839273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1164
 
22.1%
골 204
 
3.9%
충 136
 
2.6%
개 132
 
2.5%
절 128
 
2.4%
한 120
 
2.3%
의 100
 
1.9%
돌 97
 
1.8%
측 97
 
1.8%
아 96
 
1.8%
Other values (296) 2985
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3779
71.9%
Space Separator 1164
 
22.1%
Lowercase Letter 131
 
2.5%
Other Punctuation 74
 
1.4%
Decimal Number 32
 
0.6%
Close Punctuation 25
 
0.5%
Open Punctuation 25
 
0.5%
Uppercase Letter 24
 
0.5%
Math Symbol 3
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 204
 
5.4%
충 136
 
3.6%
개 132
 
3.5%
절 128
 
3.4%
한 120
 
3.2%
의 100
 
2.6%
돌 97
 
2.6%
측 97
 
2.6%
아 96
 
2.5%
상 95
 
2.5%
Other values (254) 2574
68.1%
Lowercase Letter
ValueCountFrequency (%)
a 19
14.5%
l 14
10.7%
r 13
9.9%
e 11
 
8.4%
i 10
 
7.6%
t 10
 
7.6%
o 7
 
5.3%
p 6
 
4.6%
n 6
 
4.6%
u 5
 
3.8%
Other values (9) 30
22.9%
Decimal Number
ValueCountFrequency (%)
1 6
18.8%
2 6
18.8%
6 6
18.8%
3 4
12.5%
4 3
9.4%
7 3
9.4%
5 2
 
6.2%
9 1
 
3.1%
0 1
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
L 15
62.5%
T 3
 
12.5%
C 2
 
8.3%
R 2
 
8.3%
B 1
 
4.2%
H 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 57
77.0%
/ 12
 
16.2%
. 5
 
6.8%
Space Separator
ValueCountFrequency (%)
1164
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3779
71.9%
Common 1325
 
25.2%
Latin 155
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 204
 
5.4%
충 136
 
3.6%
개 132
 
3.5%
절 128
 
3.4%
한 120
 
3.2%
의 100
 
2.6%
돌 97
 
2.6%
측 97
 
2.6%
아 96
 
2.5%
상 95
 
2.5%
Other values (254) 2574
68.1%
Latin
ValueCountFrequency (%)
a 19
12.3%
L 15
 
9.7%
l 14
 
9.0%
r 13
 
8.4%
e 11
 
7.1%
i 10
 
6.5%
t 10
 
6.5%
o 7
 
4.5%
p 6
 
3.9%
n 6
 
3.9%
Other values (15) 44
28.4%
Common
ValueCountFrequency (%)
1164
87.8%
, 57
 
4.3%
) 25
 
1.9%
( 25
 
1.9%
/ 12
 
0.9%
1 6
 
0.5%
2 6
 
0.5%
6 6
 
0.5%
. 5
 
0.4%
3 4
 
0.3%
Other values (7) 15
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3779
71.9%
ASCII 1480
 
28.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1164
78.6%
, 57
 
3.9%
) 25
 
1.7%
( 25
 
1.7%
a 19
 
1.3%
L 15
 
1.0%
l 14
 
0.9%
r 13
 
0.9%
/ 12
 
0.8%
e 11
 
0.7%
Other values (32) 125
 
8.4%
Hangul
ValueCountFrequency (%)
골 204
 
5.4%
충 136
 
3.6%
개 132
 
3.5%
절 128
 
3.4%
한 120
 
3.2%
의 100
 
2.6%
돌 97
 
2.6%
측 97
 
2.6%
아 96
 
2.5%
상 95
 
2.5%
Other values (254) 2574
68.1%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-1038꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-07-132019-08-08폐사<NA>기타UnknownJuvenile36.630667126.37841728<NA><NA>서산버드랜드 내충청남도 서산시 부석면 창리 5-1건물옆알 수 없는 사고원인파악 불가, 서산버드랜드 방문객이 구조 후 사무소에 전달36 37 50.4126 22 42.3<NA><NA>222380양측 부척골 폐쇄골절
12019-1447꿩조강(Aves)닭목꿩과해당없음해당없음해당없음2019-09-242019-09-24폐사체<NA>기타MaleJuvenile36.771944126.43434<NA><NA>(공림4로 19) 주소지 부근 건물 옆충청남도 서산시 예천동 617-4건물옆전선/건물과의 충돌건물 유리창과 충돌36 46 19.0126 26 02.4<NA><NA>11521152유리창 충돌 개체
22019-1048괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-07-142019-07-14안락사<NA>기타UnknownAdult36.966306126.3359173<NA><NA>벌천포해수욕장충청남도 서산시 대산읍 오지리 317-30강, 바다전선/건물과의 충돌전선과의 충돌 추정36 57 58.7126 20 09.3<NA><NA>424424우측 상완골 진구성 개방골절, malunion
32019-1209괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-07-282019-08-07안락사<NA>기타UnknownJuvenile36.626194126.3630561<NA><NA>서산B지구 방조재 도로변충청남도 서산시 부석면 창리 338도로변차량과의 충돌차량과의 충돌 추정36 37 34.3126 21 47.0<NA><NA>400386좌측 요골 및 척골 개방골절/좌측 대퇴골 골절
42019-0028물닭조강(Aves)두루미목뜸부기과해당없음해당없음해당없음2019-01-102019-01-10폐사체<NA>기타UnknownAdult36.662306126.362139-1<NA><NA><NA>충청남도 서산시 부석면 마룡리 925도로변차량과의 충돌차량충돌 추정36 39 44.3126 21 43.7<NA><NA>446446차량충돌 추정 개체
52019-0029물닭조강(Aves)두루미목뜸부기과해당없음해당없음해당없음2019-01-102019-01-10폐사체<NA>기타UnknownAdult36.662306126.362139-1<NA><NA><NA>충청남도 서산시 부석면 마룡리 925도로변차량과의 충돌차량충돌 추정36 39 44.3126 21 43.7<NA><NA>396396차량충돌 추정 개체
62019-0964큰오색딱다구리조강(Aves)딱다구리목딱다구리과해당없음해당없음해당없음2019-07-042019-07-31방생충청남도 서산시 읍내동 562-14<NA>FemaleUnknown36.7835126.4450285236.790611126.445397미니스톱 서산부영점충청남도 서산시 읍내동 619-1건물옆전선/건물과의 충돌편의점 유리창 충돌36 47 00.6126 26 42.136 47 25.8126 26 43.1100102충돌에 의한 우측 견갑골 폐쇄골절과 내상(추정)
72019-0200멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-04-052019-04-22방생충청남도 예산군 예산읍 주교리 460<NA>UnknownNestling36.786083126.5092224036.682111126.822316현대빌라충청남도 서산시 음암면 도당리 1550-98건물옆어미를 잃음(미아)둥지에서 이탈해 어미를 잃음36 47 09.9126 30 33.236 40 50.7126 49 19.6166174미아
82019-0380멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-05-082019-05-09안락사<NA>기타UnknownJuvenile36.83525126.47922255<NA><NA>공장 내 녹지충청남도 서산시 성연면 갈현리 703-4건물옆전선/건물과의 충돌건물 유리창 충돌 추정36 50 06.9126 28 45.2<NA><NA>166166충돌에 의한 뇌진탕 및 내부장기 손상(추정)
92019-0381멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-05-082019-05-24안락사<NA>기타UnknownJuvenile36.83525126.47922255<NA><NA>공장 내 녹지충청남도 서산시 성연면 갈현리 703-4건물옆전선/건물과의 충돌건물 유리창 충돌 추정36 50 06.9126 28 45.2<NA><NA>146136충돌에 의한 우측 오훼골 골절
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
3992022-1573너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-082022-09-14방생충남 공주시 유구읍 녹천리 산103-2<NA>Female0년3월0일36.50.413126.28.2889<NA><NA>주소지 부근 농수로 내부충남 서산시 성연면 명천리 821-80농경지- 농수로 고립농수로 고립/<NA><NA><NA><NA>1,1243,600고립된 미아 개체
4002022-1742너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-232022-10-24방생충남 예산군 신양면 하천리 259<NA>Female0년0월0일36.57.181126.27.00425<NA><NA>인삼밭 옆 수풀충남 서산시 대산읍 운산리 773-7농경지- 기생충 중감염기생충 중감염<NA><NA><NA><NA>1,4304,250개선충 감염
4012022-1744너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-242022-09-26기타<NA><NA>Female0년0월0일36.47.187126.26.03967<NA><NA>고양이 쉼터안충남 서산시 충의로 200-3건물옆- 기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>4,1005,080개선충중감염, 등쪽 심한 농주머니
4022022-1651오소리포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-07-162022-07-16방생충남 서산시 팔봉면 금학리 산245-2<NA>Unknown0년0월0일36.48.382126.23.02684<NA><NA>주소지 내 농로변충남 서산시 팔봉면 금학리 산245-2농경지- 덫덫/멧돼지트랩<NA><NA><NA><NA>00단순 고립 개체
4032022-2033오소리포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-09-092022-09-11폐사<NA>냉동(신냉동창고)(투입박스(일반))Male0년4월0일36.45.535126.36.061130<NA><NA>보원사지 인근 소로상충남 서산시 운산면 용현리 160도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>4,3024,302차량 충돌에 의한 뇌진탕
4042022-0343족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-03-202022-03-20방생충남 서산시 음암면 탑곡리 700<NA>Unknown0년0월0일36.48.211126.32.17444<NA><NA>민가주변충남 서산시 음암면 탑곡리 700건물옆- 기타기타/개선충 너구리 포획용 트랩에 잡힘<NA><NA><NA><NA>00단순 고립
4052022-1866족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-08-092022-10-13방생충남 청양군 화성면 신정리 산97-14<NA>Unknown0년0월0일36.49.189126.29.24072<NA><NA>민가 근처충남 서산시 음암면 율목리 651-2숲- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>64342단순 미아
4062022-1867족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-08-092022-10-13방생충남 청양군 화성면 신정리 산97-14<NA>Unknown0년0월0일36.49.189126.29.24072<NA><NA>민가 근처충남 서산시 음암면 율목리 651-2숲- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>69464단순 미아
4072022-1868족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-08-092022-08-11폐사<NA>냉동(신냉동창고)(투입박스(일반))Unknown0년0월0일36.49.189126.29.24072<NA><NA>민가 근처충남 서산시 음암면 율목리 651-2숲- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>65.760.92단순 미아
4082022-1869족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-08-092022-10-12폐사<NA>냉동(신냉동창고)(투입박스(일반))Unknown0년0월0일36.49.189126.29.24072<NA><NA>민가 근처충남 서산시 음암면 율목리 651-2숲- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>64.1360미아, 우측 안구 부종