Overview

Dataset statistics

Number of variables32
Number of observations382
Missing cells1680
Missing cells (%)13.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory96.7 KiB
Average record size in memory259.3 B

Variable types

Text14
Categorical13
DateTime2
Numeric3

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 홍성군 내에서 발생한 구조 건에 대한 자료임
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=69&beforeMenuCd=DOM_000000201001001000&publicdatapk=15109284

Alerts

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 has 262 (68.6%) missing valuesMissing
방생위도 has 299 (78.3%) missing valuesMissing
방생경도 has 299 (78.3%) missing valuesMissing
발견장소상세 has 24 (6.3%) missing valuesMissing
구조위도(TM구조위도) has 102 (26.7%) missing valuesMissing
구조경도(TM구조경도) has 102 (26.7%) missing valuesMissing
방생위도(TM방생위도) has 295 (77.2%) missing valuesMissing
방생경도(TM방생경도) has 295 (77.2%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 12 (3.1%) zerosZeros

Reproduction

Analysis started2024-01-09 21:09:00.018401
Analysis finished2024-01-09 21:09:00.869423
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct382
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:01.066974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters3438
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

Unique382 ?
Unique (%)100.0%

Sample

1st row2019-0154
2nd row2019-0490
3rd row2019-0392
4th row2019-0810
5th row2019-0935
ValueCountFrequency (%)
2019-0154 1
 
0.3%
2021-1341 1
 
0.3%
2021-2055 1
 
0.3%
2021-2041 1
 
0.3%
2021-1967 1
 
0.3%
2021-1918 1
 
0.3%
2021-1914 1
 
0.3%
2021-1792 1
 
0.3%
2021-1762 1
 
0.3%
2021-1759 1
 
0.3%
Other values (372) 372
97.4%
2024-01-10T06:09:01.425565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 918
26.7%
0 720
20.9%
1 546
15.9%
- 382
11.1%
9 221
 
6.4%
5 125
 
3.6%
3 125
 
3.6%
4 123
 
3.6%
7 110
 
3.2%
8 84
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3056
88.9%
Dash Punctuation 382
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 918
30.0%
0 720
23.6%
1 546
17.9%
9 221
 
7.2%
5 125
 
4.1%
3 125
 
4.1%
4 123
 
4.0%
7 110
 
3.6%
8 84
 
2.7%
6 84
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 382
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3438
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 918
26.7%
0 720
20.9%
1 546
15.9%
- 382
11.1%
9 221
 
6.4%
5 125
 
3.6%
3 125
 
3.6%
4 123
 
3.6%
7 110
 
3.2%
8 84
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 918
26.7%
0 720
20.9%
1 546
15.9%
- 382
11.1%
9 221
 
6.4%
5 125
 
3.6%
3 125
 
3.6%
4 123
 
3.6%
7 110
 
3.2%
8 84
 
2.4%

동물국문명
Categorical

Distinct38
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
고라니
119 
너구리
50 
참새
42 
멧비둘기
33 
까치
24 
Other values (33)
114 

Length

Max length8
Median length3
Mean length3.0680628
Min length2

Unique

Unique18 ?
Unique (%)4.7%

Sample

1st row괭이갈매기
2nd row알락도요
3rd row멧비둘기
4th row멧비둘기
5th row멧비둘기

Common Values

ValueCountFrequency (%)
고라니 119
31.2%
너구리 50
13.1%
참새 42
 
11.0%
멧비둘기 33
 
8.6%
까치 24
 
6.3%
박새 19
 
5.0%
딱새 15
 
3.9%
직박구리 9
 
2.4%
흰뺨검둥오리 9
 
2.4%
집비둘기 6
 
1.6%
Other values (28) 56
14.7%

Length

2024-01-10T06:09:01.561752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고라니 119
31.2%
너구리 50
13.1%
참새 42
 
11.0%
멧비둘기 33
 
8.6%
까치 24
 
6.3%
박새 19
 
5.0%
딱새 15
 
3.9%
직박구리 9
 
2.4%
흰뺨검둥오리 9
 
2.4%
집비둘기 6
 
1.6%
Other values (28) 56
14.7%

강
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
조강(Aves)
207 
포유강(Mammalia)
175 

Length

Max length13
Median length8
Mean length10.290576
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) 207
54.2%
포유강(Mammalia) 175
45.8%

Length

2024-01-10T06:09:01.674223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:01.769890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 207
54.2%
포유강(mammalia 175
45.8%

목
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
참새목
127 
소목
119 
식육목
51 
비둘기목
39 
기러기목
 
11
Other values (7)
35 

Length

Max length5
Median length3
Mean length2.8795812
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
참새목 127
33.2%
소목 119
31.2%
식육목 51
13.4%
비둘기목 39
 
10.2%
기러기목 11
 
2.9%
황새목 9
 
2.4%
파랑새목 9
 
2.4%
딱다구리목 7
 
1.8%
도요목 4
 
1.0%
박쥐목 4
 
1.0%
Other values (2) 2
 
0.5%

Length

2024-01-10T06:09:01.868057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
참새목 127
33.2%
소목 119
31.2%
식육목 51
13.4%
비둘기목 39
 
10.2%
기러기목 11
 
2.9%
황새목 9
 
2.4%
파랑새목 9
 
2.4%
딱다구리목 7
 
1.8%
도요목 4
 
1.0%
박쥐목 4
 
1.0%
Other values (2) 2
 
0.5%

과
Categorical

Distinct26
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
사슴과
119 
개과
50 
참새과
42 
비둘기과
39 
까마귀과
29 
Other values (21)
103 

Length

Max length9
Median length3
Mean length3.3298429
Min length2

Unique

Unique8 ?
Unique (%)2.1%

Sample

1st row갈매기과
2nd row도요과
3rd row비둘기과
4th row비둘기과
5th row비둘기과

Common Values

ValueCountFrequency (%)
사슴과 119
31.2%
개과 50
13.1%
참새과 42
 
11.0%
비둘기과 39
 
10.2%
까마귀과 29
 
7.6%
박새과 19
 
5.0%
솔딱새과 15
 
3.9%
오리과 11
 
2.9%
직박구리과 9
 
2.4%
왜가리과 9
 
2.4%
Other values (16) 40
 
10.5%

Length

2024-01-10T06:09:01.984405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 119
31.2%
개과 50
13.1%
참새과 42
 
11.0%
비둘기과 39
 
10.2%
까마귀과 29
 
7.6%
박새과 19
 
5.0%
솔딱새과 15
 
3.9%
오리과 11
 
2.9%
직박구리과 9
 
2.4%
왜가리과 9
 
2.4%
Other values (16) 40
 
10.5%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
해당없음
382 

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 382
100.0%

Length

2024-01-10T06:09:02.097175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:02.192814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 382
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
해당없음
382 

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 382
100.0%

Length

2024-01-10T06:09:02.274399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:02.352815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 382
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
해당없음
382 

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 382
100.0%

Length

2024-01-10T06:09:02.435953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:02.521538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 382
100.0%

구조일시
Date

Distinct264
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2019-01-01 00:00:00
Maximum2022-12-18 00:00:00
2024-01-10T06:09:02.618359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:09:02.752030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct267
Distinct (%)69.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Minimum2019-01-02 00:00:00
Maximum2023-05-15 00:00:00
2024-01-10T06:09:02.859270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:09:02.973918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct5
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
방생
121 
안락사
94 
폐사체
69 
DOA
58 
폐사
40 

Length

Max length3
Median length3
Mean length2.578534
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 121
31.7%
안락사 94
24.6%
폐사체 69
18.1%
DOA 58
15.2%
폐사 40
 
10.5%

Length

2024-01-10T06:09:03.092176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:03.194340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 121
31.7%
안락사 94
24.6%
폐사체 69
18.1%
doa 58
15.2%
폐사 40
 
10.5%

이첩 방생 위치
Text

MISSING 

Distinct84
Distinct (%)70.0%
Missing262
Missing (%)68.6%
Memory size3.1 KiB
2024-01-10T06:09:03.504797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.708333
Min length14

Characters and Unicode

Total characters2485
Distinct characters113
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

Unique68 ?
Unique (%)56.7%

Sample

1st row충청남도 예산군 예산읍 주교리 488-7
2nd row충청남도 예산군 대흥면 갈신리 1
3rd row충청남도 예산군 예산읍 산성리 275-56
4th row충청남도 예산군 오가면 신장리 970
5th row충청남도 아산시 염치읍 대동리 264-1
ValueCountFrequency (%)
충청남도 86
 
13.6%
예산군 51
 
8.1%
홍성군 41
 
6.5%
산 35
 
5.5%
충남 33
 
5.2%
예산읍 26
 
4.1%
홍성읍 13
 
2.1%
홍북읍 13
 
2.1%
신경리 13
 
2.1%
대회리 13
 
2.1%
Other values (168) 309
48.8%
2024-01-10T06:09:03.927054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
526
21.2%
산 156
 
6.3%
충 123
 
4.9%
남 120
 
4.8%
리 114
 
4.6%
군 92
 
3.7%
도 89
 
3.6%
청 87
 
3.5%
예 78
 
3.1%
홍 74
 
3.0%
Other values (103) 1026
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1533
61.7%
Space Separator 526
 
21.2%
Decimal Number 370
 
14.9%
Dash Punctuation 56
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 156
 
10.2%
충 123
 
8.0%
남 120
 
7.8%
리 114
 
7.4%
군 92
 
6.0%
도 89
 
5.8%
청 87
 
5.7%
예 78
 
5.1%
홍 74
 
4.8%
면 62
 
4.0%
Other values (91) 538
35.1%
Decimal Number
ValueCountFrequency (%)
1 73
19.7%
5 51
13.8%
3 49
13.2%
2 40
10.8%
4 37
10.0%
7 28
 
7.6%
9 25
 
6.8%
6 24
 
6.5%
8 22
 
5.9%
0 21
 
5.7%
Space Separator
ValueCountFrequency (%)
526
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1533
61.7%
Common 952
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 156
 
10.2%
충 123
 
8.0%
남 120
 
7.8%
리 114
 
7.4%
군 92
 
6.0%
도 89
 
5.8%
청 87
 
5.7%
예 78
 
5.1%
홍 74
 
4.8%
면 62
 
4.0%
Other values (91) 538
35.1%
Common
ValueCountFrequency (%)
526
55.3%
1 73
 
7.7%
- 56
 
5.9%
5 51
 
5.4%
3 49
 
5.1%
2 40
 
4.2%
4 37
 
3.9%
7 28
 
2.9%
9 25
 
2.6%
6 24
 
2.5%
Other values (2) 43
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1533
61.7%
ASCII 952
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
526
55.3%
1 73
 
7.7%
- 56
 
5.9%
5 51
 
5.4%
3 49
 
5.1%
2 40
 
4.2%
4 37
 
3.9%
7 28
 
2.9%
9 25
 
2.6%
6 24
 
2.5%
Other values (2) 43
 
4.5%
Hangul
ValueCountFrequency (%)
산 156
 
10.2%
충 123
 
8.0%
남 120
 
7.8%
리 114
 
7.4%
군 92
 
6.0%
도 89
 
5.8%
청 87
 
5.7%
예 78
 
5.1%
홍 74
 
4.8%
면 62
 
4.0%
Other values (91) 538
35.1%

사체처리
Categorical

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
기타
195 
<NA>
122 
폐기
32 
냉동(신냉동창고)(투입박스(일반))
 
15
냉동(구냉동창고)(성체고라니, 개선충너구리)
 
14
Other values (3)
 
4

Length

Max length24
Median length2
Mean length4.1518325
Min length2

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
기타 195
51.0%
<NA> 122
31.9%
폐기 32
 
8.4%
냉동(신냉동창고)(투입박스(일반)) 15
 
3.9%
냉동(구냉동창고)(성체고라니, 개선충너구리) 14
 
3.7%
기타(협조) 2
 
0.5%
냉동 1
 
0.3%
냉동(신냉동창고) 1
 
0.3%

Length

2024-01-10T06:09:04.056661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:04.192696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 195
49.2%
na 122
30.8%
폐기 32
 
8.1%
냉동(신냉동창고)(투입박스(일반 15
 
3.8%
냉동(구냉동창고)(성체고라니 14
 
3.5%
개선충너구리 14
 
3.5%
기타(협조 2
 
0.5%
냉동 1
 
0.3%
냉동(신냉동창고 1
 
0.3%

동물성별
Categorical

Distinct3
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
Unknown
226 
Male
95 
Female
61 

Length

Max length7
Median length7
Mean length6.0942408
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 226
59.2%
Male 95
24.9%
Female 61
 
16.0%

Length

2024-01-10T06:09:04.353811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:04.470492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 226
59.2%
male 95
24.9%
female 61
 
16.0%

동물연령
Categorical

Distinct31
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0년0월0일
111 
Juvenile
76 
Unknown
58 
Nestling
41 
Adult
32 
Other values (26)
64 

Length

Max length8
Median length7
Mean length6.7198953
Min length5

Unique

Unique11 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 111
29.1%
Juvenile 76
19.9%
Unknown 58
15.2%
Nestling 41
 
10.7%
Adult 32
 
8.4%
0년1월0일 8
 
2.1%
0년11월0일 6
 
1.6%
1년0월0일 6
 
1.6%
0년10월0일 4
 
1.0%
0년6월0일 4
 
1.0%
Other values (21) 36
 
9.4%

Length

2024-01-10T06:09:04.604682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 111
29.1%
juvenile 76
19.9%
unknown 58
15.2%
nestling 41
 
10.7%
adult 32
 
8.4%
0년1월0일 8
 
2.1%
0년11월0일 6
 
1.6%
1년0월0일 6
 
1.6%
0년5월0일 4
 
1.0%
0년10월0일 4
 
1.0%
Other values (21) 36
 
9.4%

구조위도
Text

Distinct275
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:04.865840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8036649
Min length5

Characters and Unicode

Total characters3363
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

Unique236 ?
Unique (%)61.8%

Sample

1st row36.533889
2nd row36.504694
3rd row36.601528
4th row36.592861
5th row36.599083
ValueCountFrequency (%)
36.635111 22
 
5.8%
36.635056 14
 
3.7%
36.651 8
 
2.1%
36.651556 7
 
1.8%
36.580417 6
 
1.6%
36.593333 6
 
1.6%
36.652861 6
 
1.6%
36.497028 5
 
1.3%
36.575417 4
 
1.0%
36.575611 4
 
1.0%
Other values (265) 300
78.5%
2024-01-10T06:09:05.255121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 696
20.7%
6 682
20.3%
. 484
14.4%
5 385
11.4%
1 254
 
7.6%
8 166
 
4.9%
7 165
 
4.9%
0 142
 
4.2%
9 142
 
4.2%
4 135
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2879
85.6%
Other Punctuation 484
 
14.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 696
24.2%
6 682
23.7%
5 385
13.4%
1 254
 
8.8%
8 166
 
5.8%
7 165
 
5.7%
0 142
 
4.9%
9 142
 
4.9%
4 135
 
4.7%
2 112
 
3.9%
Other Punctuation
ValueCountFrequency (%)
. 484
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3363
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 696
20.7%
6 682
20.3%
. 484
14.4%
5 385
11.4%
1 254
 
7.6%
8 166
 
4.9%
7 165
 
4.9%
0 142
 
4.2%
9 142
 
4.2%
4 135
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3363
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 696
20.7%
6 682
20.3%
. 484
14.4%
5 385
11.4%
1 254
 
7.6%
8 166
 
4.9%
7 165
 
4.9%
0 142
 
4.2%
9 142
 
4.2%
4 135
 
4.0%

구조경도
Text

Distinct277
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:05.507149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.8769634
Min length6

Characters and Unicode

Total characters3773
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

Unique240 ?
Unique (%)62.8%

Sample

1st row126.481778
2nd row126.625139
3rd row126.664333
4th row126.664333
5th row126.648139
ValueCountFrequency (%)
126.538611 36
 
9.4%
126.667111 8
 
2.1%
126.669306 7
 
1.8%
126.67125 7
 
1.8%
126.589944 6
 
1.6%
126.673389 5
 
1.3%
126.663667 4
 
1.0%
126.697667 4
 
1.0%
126.663139 4
 
1.0%
126.667056 4
 
1.0%
Other values (267) 297
77.7%
2024-01-10T06:09:05.886250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 817
21.7%
1 598
15.8%
2 531
14.1%
. 484
12.8%
3 266
 
7.1%
5 218
 
5.8%
8 195
 
5.2%
7 190
 
5.0%
4 187
 
5.0%
9 155
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3289
87.2%
Other Punctuation 484
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 817
24.8%
1 598
18.2%
2 531
16.1%
3 266
 
8.1%
5 218
 
6.6%
8 195
 
5.9%
7 190
 
5.8%
4 187
 
5.7%
9 155
 
4.7%
0 132
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 484
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3773
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 817
21.7%
1 598
15.8%
2 531
14.1%
. 484
12.8%
3 266
 
7.1%
5 218
 
5.8%
8 195
 
5.2%
7 190
 
5.0%
4 187
 
5.0%
9 155
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3773
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 817
21.7%
1 598
15.8%
2 531
14.1%
. 484
12.8%
3 266
 
7.1%
5 218
 
5.8%
8 195
 
5.2%
7 190
 
5.0%
4 187
 
5.0%
9 155
 
4.1%

구조고도
Real number (ℝ)

ZEROS 

Distinct80
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.536649
Minimum0
Maximum150
Zeros12
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T06:09:06.018319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.05
Q132
median39
Q354
95-th percentile71.95
Maximum150
Range150
Interquartile range (IQR)22

Descriptive statistics

Standard deviation20.441902
Coefficient of variation (CV)0.48057152
Kurtosis3.4690636
Mean42.536649
Median Absolute Deviation (MAD)10
Skewness0.89868302
Sum16249
Variance417.87136
MonotonicityNot monotonic
2024-01-10T06:09:06.152222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 41
 
10.7%
44 17
 
4.5%
39 17
 
4.5%
31 15
 
3.9%
38 14
 
3.7%
0 12
 
3.1%
40 12
 
3.1%
37 11
 
2.9%
51 10
 
2.6%
30 8
 
2.1%
Other values (70) 225
58.9%
ValueCountFrequency (%)
0 12
3.1%
1 2
 
0.5%
2 1
 
0.3%
4 1
 
0.3%
5 2
 
0.5%
6 1
 
0.3%
8 1
 
0.3%
9 1
 
0.3%
10 3
 
0.8%
12 3
 
0.8%
ValueCountFrequency (%)
150 1
 
0.3%
138 1
 
0.3%
111 3
0.8%
104 1
 
0.3%
97 1
 
0.3%
91 2
0.5%
89 1
 
0.3%
88 1
 
0.3%
80 1
 
0.3%
77 1
 
0.3%

방생위도
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)60.2%
Missing299
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean36.642052
Minimum36.24803
Maximum36.82551
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T06:09:06.285642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.24803
5-th percentile36.524401
Q136.619705
median36.6541
Q336.673341
95-th percentile36.758834
Maximum36.82551
Range0.57747954
Interquartile range (IQR)0.05363578

Descriptive statistics

Standard deviation0.08181428
Coefficient of variation (CV)0.0022327975
Kurtosis7.4136784
Mean36.642052
Median Absolute Deviation (MAD)0.02794495
Skewness-1.9418206
Sum3041.2903
Variance0.0066935764
MonotonicityNot monotonic
2024-01-10T06:09:06.408317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.65410004 8
 
2.1%
36.67008139 8
 
2.1%
36.6298228 6
 
1.6%
36.57573185 5
 
1.3%
36.66606467 3
 
0.8%
36.76177798 3
 
0.8%
36.67334059 2
 
0.5%
36.6996597 2
 
0.5%
36.70100436 2
 
0.5%
36.67245016 2
 
0.5%
Other values (40) 42
 
11.0%
(Missing) 299
78.3%
ValueCountFrequency (%)
36.2480304 1
 
0.3%
36.36345959 1
 
0.3%
36.42413932 1
 
0.3%
36.48061028 1
 
0.3%
36.52211181 1
 
0.3%
36.54500605 1
 
0.3%
36.54848827 1
 
0.3%
36.57573185 5
1.3%
36.58404675 1
 
0.3%
36.58987595 1
 
0.3%
ValueCountFrequency (%)
36.82550994 1
 
0.3%
36.77528585 1
 
0.3%
36.76177798 3
0.8%
36.73233832 1
 
0.3%
36.73187411 1
 
0.3%
36.72134802 1
 
0.3%
36.71997529 1
 
0.3%
36.70100436 2
0.5%
36.6996597 2
0.5%
36.69902923 1
 
0.3%

방생경도
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)60.2%
Missing299
Missing (%)78.3%
Infinite0
Infinite (%)0.0%
Mean126.73588
Minimum126.38396
Maximum127.25954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-01-10T06:09:06.795029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.38396
5-th percentile126.39409
Q1126.66364
median126.75785
Q3126.85967
95-th percentile126.96633
Maximum127.25954
Range0.8755837
Interquartile range (IQR)0.1960287

Descriptive statistics

Standard deviation0.17558786
Coefficient of variation (CV)0.0013854629
Kurtosis0.27203896
Mean126.73588
Median Absolute Deviation (MAD)0.1018165
Skewness-0.24205241
Sum10519.078
Variance0.030831098
MonotonicityNot monotonic
2024-01-10T06:09:06.927693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6750166 8
 
2.1%
126.8596661 8
 
2.1%
126.3940879 6
 
1.6%
126.6636374 5
 
1.3%
126.8663143 3
 
0.8%
126.851879 3
 
0.8%
126.8564069 2
 
0.5%
126.612669 2
 
0.5%
126.8447788 2
 
0.5%
126.8639108 2
 
0.5%
Other values (40) 42
 
11.0%
(Missing) 299
78.3%
ValueCountFrequency (%)
126.383956 1
 
0.3%
126.3842421 1
 
0.3%
126.391016 1
 
0.3%
126.3940879 6
1.6%
126.5181604 1
 
0.3%
126.5498157 1
 
0.3%
126.5512537 1
 
0.3%
126.5784814 1
 
0.3%
126.5812276 1
 
0.3%
126.6044375 1
 
0.3%
ValueCountFrequency (%)
127.2595397 1
 
0.3%
127.0329023 1
 
0.3%
127.0262225 1
 
0.3%
127.0199075 1
 
0.3%
126.9664151 1
 
0.3%
126.9655342 1
 
0.3%
126.9318531 1
 
0.3%
126.9168175 1
 
0.3%
126.905787 1
 
0.3%
126.8663143 3
0.8%

발견장소상세
Text

MISSING 

Distinct231
Distinct (%)64.5%
Missing24
Missing (%)6.3%
Memory size3.1 KiB
2024-01-10T06:09:07.219359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length8.0837989
Min length1

Characters and Unicode

Total characters2894
Distinct characters283
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

Unique196 ?
Unique (%)54.7%

Sample

1st row남해수산 앞
2nd row읍사무소 앞
3rd row톰스피자 가게
4th row음식점 건물 옆
5th row도로 방음벽
ValueCountFrequency (%)
주소지 53
 
6.2%
도로 52
 
6.1%
도로변 44
 
5.1%
방음벽 39
 
4.5%
부근 32
 
3.7%
옆 28
 
3.3%
앞 26
 
3.0%
가정집 25
 
2.9%
내 24
 
2.8%
아파트 16
 
1.9%
Other values (273) 519
60.5%
2024-01-10T06:09:07.639067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
507
 
17.5%
로 134
 
4.6%
도 123
 
4.3%
지 98
 
3.4%
주 93
 
3.2%
소 70
 
2.4%
변 56
 
1.9%
근 50
 
1.7%
가 45
 
1.6%
내 43
 
1.5%
Other values (273) 1675
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2260
78.1%
Space Separator 507
 
17.5%
Decimal Number 84
 
2.9%
Uppercase Letter 13
 
0.4%
Open Punctuation 8
 
0.3%
Close Punctuation 8
 
0.3%
Dash Punctuation 7
 
0.2%
Lowercase Letter 4
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 134
 
5.9%
도 123
 
5.4%
지 98
 
4.3%
주 93
 
4.1%
소 70
 
3.1%
변 56
 
2.5%
근 50
 
2.2%
가 45
 
2.0%
내 43
 
1.9%
방 43
 
1.9%
Other values (247) 1505
66.6%
Decimal Number
ValueCountFrequency (%)
2 24
28.6%
1 18
21.4%
0 8
 
9.5%
4 8
 
9.5%
3 7
 
8.3%
5 6
 
7.1%
9 5
 
6.0%
6 4
 
4.8%
7 3
 
3.6%
8 1
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
H 4
30.8%
L 4
30.8%
A 2
15.4%
T 1
 
7.7%
P 1
 
7.7%
S 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
s 1
25.0%
e 1
25.0%
n 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
507
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2260
78.1%
Common 617
 
21.3%
Latin 17
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 134
 
5.9%
도 123
 
5.4%
지 98
 
4.3%
주 93
 
4.1%
소 70
 
3.1%
변 56
 
2.5%
근 50
 
2.2%
가 45
 
2.0%
내 43
 
1.9%
방 43
 
1.9%
Other values (247) 1505
66.6%
Common
ValueCountFrequency (%)
507
82.2%
2 24
 
3.9%
1 18
 
2.9%
0 8
 
1.3%
( 8
 
1.3%
) 8
 
1.3%
4 8
 
1.3%
3 7
 
1.1%
- 7
 
1.1%
5 6
 
1.0%
Other values (6) 16
 
2.6%
Latin
ValueCountFrequency (%)
H 4
23.5%
L 4
23.5%
A 2
11.8%
T 1
 
5.9%
o 1
 
5.9%
P 1
 
5.9%
s 1
 
5.9%
S 1
 
5.9%
e 1
 
5.9%
n 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2260
78.1%
ASCII 634
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
507
80.0%
2 24
 
3.8%
1 18
 
2.8%
0 8
 
1.3%
( 8
 
1.3%
) 8
 
1.3%
4 8
 
1.3%
3 7
 
1.1%
- 7
 
1.1%
5 6
 
0.9%
Other values (16) 33
 
5.2%
Hangul
ValueCountFrequency (%)
로 134
 
5.9%
도 123
 
5.4%
지 98
 
4.3%
주 93
 
4.1%
소 70
 
3.1%
변 56
 
2.5%
근 50
 
2.2%
가 45
 
2.0%
내 43
 
1.9%
방 43
 
1.9%
Other values (247) 1505
66.6%

발견주소
Text

Distinct281
Distinct (%)73.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:07.914833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length21.314136
Min length16

Characters and Unicode

Total characters8142
Distinct characters120
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

Unique245 ?
Unique (%)64.1%

Sample

1st row충청남도 홍성군 서부면 남당리 160-159
2nd row충청남도 홍성군 광천읍 신진리 411-40
3rd row충청남도 홍성군 홍성읍 아문길29번길 51 (오관리)
4th row충청남도 홍성군 홍성읍 남장리 108-3
5th row충청남도 홍성군 홍성읍 월산리 840-2
ValueCountFrequency (%)
홍성군 382
19.7%
충청남도 280
 
14.4%
홍성읍 121
 
6.2%
충남 102
 
5.3%
홍북읍 74
 
3.8%
갈산면 51
 
2.6%
신경리 51
 
2.6%
취생리 38
 
2.0%
202-1 36
 
1.9%
금마면 29
 
1.5%
Other values (401) 775
40.0%
2024-01-10T06:09:08.303898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1567
19.2%
홍 619
 
7.6%
성 510
 
6.3%
남 405
 
5.0%
충 395
 
4.9%
군 382
 
4.7%
리 310
 
3.8%
1 298
 
3.7%
도 284
 
3.5%
청 283
 
3.5%
Other values (110) 3089
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4888
60.0%
Space Separator 1567
 
19.2%
Decimal Number 1463
 
18.0%
Dash Punctuation 218
 
2.7%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 619
12.7%
성 510
 
10.4%
남 405
 
8.3%
충 395
 
8.1%
군 382
 
7.8%
리 310
 
6.3%
도 284
 
5.8%
청 283
 
5.8%
읍 212
 
4.3%
면 168
 
3.4%
Other values (96) 1320
27.0%
Decimal Number
ValueCountFrequency (%)
1 298
20.4%
2 226
15.4%
3 142
9.7%
0 139
9.5%
4 137
9.4%
5 121
8.3%
9 117
 
8.0%
6 101
 
6.9%
7 96
 
6.6%
8 86
 
5.9%
Space Separator
ValueCountFrequency (%)
1567
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4888
60.0%
Common 3254
40.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 619
12.7%
성 510
 
10.4%
남 405
 
8.3%
충 395
 
8.1%
군 382
 
7.8%
리 310
 
6.3%
도 284
 
5.8%
청 283
 
5.8%
읍 212
 
4.3%
면 168
 
3.4%
Other values (96) 1320
27.0%
Common
ValueCountFrequency (%)
1567
48.2%
1 298
 
9.2%
2 226
 
6.9%
- 218
 
6.7%
3 142
 
4.4%
0 139
 
4.3%
4 137
 
4.2%
5 121
 
3.7%
9 117
 
3.6%
6 101
 
3.1%
Other values (4) 188
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4888
60.0%
ASCII 3254
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1567
48.2%
1 298
 
9.2%
2 226
 
6.9%
- 218
 
6.7%
3 142
 
4.4%
0 139
 
4.3%
4 137
 
4.2%
5 121
 
3.7%
9 117
 
3.6%
6 101
 
3.1%
Other values (4) 188
 
5.8%
Hangul
ValueCountFrequency (%)
홍 619
12.7%
성 510
 
10.4%
남 405
 
8.3%
충 395
 
8.1%
군 382
 
7.8%
리 310
 
6.3%
도 284
 
5.8%
청 283
 
5.8%
읍 212
 
4.3%
면 168
 
3.4%
Other values (96) 1320
27.0%

발견장소특징
Categorical

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
건물옆
155 
도로변
141 
기타
34 
농경지
25 
숲
20 
Other values (2)
 
7

Length

Max length5
Median length3
Mean length2.8350785
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 155
40.6%
도로변 141
36.9%
기타 34
 
8.9%
농경지 25
 
6.5%
숲 20
 
5.2%
강, 바다 6
 
1.6%
전선 1
 
0.3%

Length

2024-01-10T06:09:08.443610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:09:08.555073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 155
39.9%
도로변 141
36.3%
기타 34
 
8.8%
농경지 25
 
6.4%
숲 20
 
5.2%
강 6
 
1.5%
바다 6
 
1.5%
전선 1
 
0.3%

발생원인
Categorical

Distinct29
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
어미를 잃음(미아)
74 
전선/건물과의 충돌
67 
차량과의 충돌
57 
기생충 중감염
35 
- 차량과의 충돌
33 
Other values (24)
116 

Length

Max length14
Median length13
Mean length9.3298429
Min length1

Unique

Unique4 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 74
19.4%
전선/건물과의 충돌 67
17.5%
차량과의 충돌 57
14.9%
기생충 중감염 35
9.2%
- 차량과의 충돌 33
8.6%
- 어미를 잃음(미아) 28
 
7.3%
개, 고양이 공격 13
 
3.4%
- 전선/건물과의 충돌 11
 
2.9%
인공구조물 침입·고립 7
 
1.8%
- 인공구조물 침입·고립 6
 
1.6%
Other values (19) 51
13.4%

Length

2024-01-10T06:09:08.671805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 168
19.0%
어미를 102
11.6%
102
11.6%
잃음(미아 102
11.6%
차량과의 90
10.2%
전선/건물과의 78
8.8%
기생충 41
 
4.6%
중감염 41
 
4.6%
공격 16
 
1.8%
개 16
 
1.8%
Other values (24) 126
14.3%

발생원인 세부사항
Text

Distinct116
Distinct (%)30.5%
Missing2
Missing (%)0.5%
Memory size3.1 KiB
2024-01-10T06:09:08.870638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length25
Mean length9.0342105
Min length1

Characters and Unicode

Total characters3433
Distinct characters177
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)20.8%

Sample

1st row전선 충돌로 추정
2nd row어딘가에 걸려 날개 죽지 피부가 찢어진 듯함
3rd row미아(재확인 필요)
4th row도로변에서 구조
5th row음식점 유리창에 충돌함
ValueCountFrequency (%)
충돌 143
 
15.9%
어미를 80
 
8.9%
차량과의 72
 
8.0%
잃음(미아 56
 
6.2%
방음벽 40
 
4.5%
기생충 30
 
3.3%
추정 24
 
2.7%
감염 22
 
2.4%
중감염 22
 
2.4%
구조물 19
 
2.1%
Other values (148) 390
43.4%
2024-01-10T06:09:09.200295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
539
 
15.7%
충 241
 
7.0%
돌 175
 
5.1%
미 162
 
4.7%
음 126
 
3.7%
량 95
 
2.8%
차 95
 
2.8%
어 88
 
2.6%
를 84
 
2.4%
아 81
 
2.4%
Other values (167) 1747
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2683
78.2%
Space Separator 539
 
15.7%
Other Punctuation 75
 
2.2%
Open Punctuation 67
 
2.0%
Close Punctuation 67
 
2.0%
Decimal Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 241
 
9.0%
돌 175
 
6.5%
미 162
 
6.0%
음 126
 
4.7%
량 95
 
3.5%
차 95
 
3.5%
어 88
 
3.3%
를 84
 
3.1%
아 81
 
3.0%
과 81
 
3.0%
Other values (158) 1455
54.2%
Other Punctuation
ValueCountFrequency (%)
/ 56
74.7%
, 12
 
16.0%
. 6
 
8.0%
· 1
 
1.3%
Space Separator
ValueCountFrequency (%)
539
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2683
78.2%
Common 750
 
21.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 241
 
9.0%
돌 175
 
6.5%
미 162
 
6.0%
음 126
 
4.7%
량 95
 
3.5%
차 95
 
3.5%
어 88
 
3.3%
를 84
 
3.1%
아 81
 
3.0%
과 81
 
3.0%
Other values (158) 1455
54.2%
Common
ValueCountFrequency (%)
539
71.9%
( 67
 
8.9%
) 67
 
8.9%
/ 56
 
7.5%
, 12
 
1.6%
. 6
 
0.8%
3 1
 
0.1%
· 1
 
0.1%
+ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2683
78.2%
ASCII 749
 
21.8%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
539
72.0%
( 67
 
8.9%
) 67
 
8.9%
/ 56
 
7.5%
, 12
 
1.6%
. 6
 
0.8%
3 1
 
0.1%
+ 1
 
0.1%
Hangul
ValueCountFrequency (%)
충 241
 
9.0%
돌 175
 
6.5%
미 162
 
6.0%
음 126
 
4.7%
량 95
 
3.5%
차 95
 
3.5%
어 88
 
3.3%
를 84
 
3.1%
아 81
 
3.0%
과 81
 
3.0%
Other values (158) 1455
54.2%
None
ValueCountFrequency (%)
· 1
100.0%

구조위도(TM구조위도)
Text

MISSING 

Distinct188
Distinct (%)67.1%
Missing102
Missing (%)26.7%
Memory size3.1 KiB
2024-01-10T06:09:09.505193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2800
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

Unique163 ?
Unique (%)58.2%

Sample

1st row36 32 02.0
2nd row36 30 16.9
3rd row36 36 05.5
4th row36 35 34.3
5th row36 35 56.7
ValueCountFrequency (%)
36 306
36.4%
35 62
 
7.4%
38 50
 
6.0%
39 46
 
5.5%
34 36
 
4.3%
06.4 22
 
2.6%
33 16
 
1.9%
06.2 14
 
1.7%
37 13
 
1.5%
30 9
 
1.1%
Other values (163) 266
31.7%
2024-01-10T06:09:09.921608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 681
24.3%
560
20.0%
6 403
14.4%
. 280
10.0%
0 157
 
5.6%
5 145
 
5.2%
4 131
 
4.7%
2 126
 
4.5%
9 106
 
3.8%
1 91
 
3.2%
Other values (2) 120
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1960
70.0%
Space Separator 560
 
20.0%
Other Punctuation 280
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 681
34.7%
6 403
20.6%
0 157
 
8.0%
5 145
 
7.4%
4 131
 
6.7%
2 126
 
6.4%
9 106
 
5.4%
1 91
 
4.6%
8 80
 
4.1%
7 40
 
2.0%
Space Separator
ValueCountFrequency (%)
560
100.0%
Other Punctuation
ValueCountFrequency (%)
. 280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2800
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 681
24.3%
560
20.0%
6 403
14.4%
. 280
10.0%
0 157
 
5.6%
5 145
 
5.2%
4 131
 
4.7%
2 126
 
4.5%
9 106
 
3.8%
1 91
 
3.2%
Other values (2) 120
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2800
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 681
24.3%
560
20.0%
6 403
14.4%
. 280
10.0%
0 157
 
5.6%
5 145
 
5.2%
4 131
 
4.7%
2 126
 
4.5%
9 106
 
3.8%
1 91
 
3.2%
Other values (2) 120
 
4.3%

구조경도(TM구조경도)
Text

MISSING 

Distinct189
Distinct (%)67.5%
Missing102
Missing (%)26.7%
Memory size3.1 KiB
2024-01-10T06:09:10.243979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3080
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

Unique165 ?
Unique (%)58.9%

Sample

1st row126 28 54.4
2nd row126 37 30.5
3rd row126 39 51.6
4th row126 39 51.6
5th row126 38 53.3
ValueCountFrequency (%)
126 280
33.3%
39 63
 
7.5%
40 62
 
7.4%
32 44
 
5.2%
19.0 36
 
4.3%
41 27
 
3.2%
38 14
 
1.7%
37 13
 
1.5%
35 12
 
1.4%
01.6 8
 
1.0%
Other values (177) 281
33.5%
2024-01-10T06:09:10.682299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
560
18.2%
2 430
14.0%
1 412
13.4%
6 343
11.1%
. 280
9.1%
3 254
8.2%
4 215
 
7.0%
0 179
 
5.8%
9 164
 
5.3%
5 119
 
3.9%
Other values (2) 124
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2240
72.7%
Space Separator 560
 
18.2%
Other Punctuation 280
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 430
19.2%
1 412
18.4%
6 343
15.3%
3 254
11.3%
4 215
9.6%
0 179
8.0%
9 164
 
7.3%
5 119
 
5.3%
8 68
 
3.0%
7 56
 
2.5%
Space Separator
ValueCountFrequency (%)
560
100.0%
Other Punctuation
ValueCountFrequency (%)
. 280
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3080
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
560
18.2%
2 430
14.0%
1 412
13.4%
6 343
11.1%
. 280
9.1%
3 254
8.2%
4 215
 
7.0%
0 179
 
5.8%
9 164
 
5.3%
5 119
 
3.9%
Other values (2) 124
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3080
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
560
18.2%
2 430
14.0%
1 412
13.4%
6 343
11.1%
. 280
9.1%
3 254
8.2%
4 215
 
7.0%
0 179
 
5.8%
9 164
 
5.3%
5 119
 
3.9%
Other values (2) 124
 
4.0%

방생위도(TM방생위도)
Text

MISSING 

Distinct66
Distinct (%)75.9%
Missing295
Missing (%)77.2%
Memory size3.1 KiB
2024-01-10T06:09:10.894505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters870
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 (%)62.1%

Sample

1st row36 40 58.4
2nd row36 39 58.4
3rd row36 41 31.8
4th row36 39 51.9
5th row36 49 31.3
ValueCountFrequency (%)
36 88
33.7%
39 17
 
6.5%
40 16
 
6.1%
37 10
 
3.8%
41 7
 
2.7%
35 6
 
2.3%
47.3 6
 
2.3%
38 6
 
2.3%
14.5 5
 
1.9%
34 5
 
1.9%
Other values (71) 95
36.4%
2024-01-10T06:09:11.219546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 177
20.3%
174
20.0%
6 103
11.8%
. 87
10.0%
4 83
9.5%
1 53
 
6.1%
5 43
 
4.9%
0 41
 
4.7%
7 36
 
4.1%
2 29
 
3.3%
Other values (2) 44
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 609
70.0%
Space Separator 174
 
20.0%
Other Punctuation 87
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 177
29.1%
6 103
16.9%
4 83
13.6%
1 53
 
8.7%
5 43
 
7.1%
0 41
 
6.7%
7 36
 
5.9%
2 29
 
4.8%
9 24
 
3.9%
8 20
 
3.3%
Space Separator
ValueCountFrequency (%)
174
100.0%
Other Punctuation
ValueCountFrequency (%)
. 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 870
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 177
20.3%
174
20.0%
6 103
11.8%
. 87
10.0%
4 83
9.5%
1 53
 
6.1%
5 43
 
4.9%
0 41
 
4.7%
7 36
 
4.1%
2 29
 
3.3%
Other values (2) 44
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 870
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 177
20.3%
174
20.0%
6 103
11.8%
. 87
10.0%
4 83
9.5%
1 53
 
6.1%
5 43
 
4.9%
0 41
 
4.7%
7 36
 
4.1%
2 29
 
3.3%
Other values (2) 44
 
5.1%

방생경도(TM방생경도)
Text

MISSING 

Distinct67
Distinct (%)77.0%
Missing295
Missing (%)77.2%
Memory size3.1 KiB
2024-01-10T06:09:11.436370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters957
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 (%)62.1%

Sample

1st row126 49 13.8
2nd row126 51 47.2
3rd row126 49 23.6
4th row126 48 42.0
5th row127 01 58.6
ValueCountFrequency (%)
126 83
31.8%
51 22
 
8.4%
40 13
 
5.0%
23 9
 
3.4%
39 8
 
3.1%
38.3 6
 
2.3%
49 6
 
2.3%
41 4
 
1.5%
127 4
 
1.5%
36 4
 
1.5%
Other values (72) 102
39.1%
2024-01-10T06:09:11.820243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
174
18.2%
1 132
13.8%
2 125
13.1%
6 109
11.4%
. 87
9.1%
3 74
7.7%
4 67
 
7.0%
5 60
 
6.3%
0 45
 
4.7%
7 33
 
3.4%
Other values (2) 51
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 696
72.7%
Space Separator 174
 
18.2%
Other Punctuation 87
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 132
19.0%
2 125
18.0%
6 109
15.7%
3 74
10.6%
4 67
9.6%
5 60
8.6%
0 45
 
6.5%
7 33
 
4.7%
9 27
 
3.9%
8 24
 
3.4%
Space Separator
ValueCountFrequency (%)
174
100.0%
Other Punctuation
ValueCountFrequency (%)
. 87
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 957
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
174
18.2%
1 132
13.8%
2 125
13.1%
6 109
11.4%
. 87
9.1%
3 74
7.7%
4 67
 
7.0%
5 60
 
6.3%
0 45
 
4.7%
7 33
 
3.4%
Other values (2) 51
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 957
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
174
18.2%
1 132
13.8%
2 125
13.1%
6 109
11.4%
. 87
9.1%
3 74
7.7%
4 67
 
7.0%
5 60
 
6.3%
0 45
 
4.7%
7 33
 
3.4%
Other values (2) 51
 
5.3%

등록체중
Text

Distinct239
Distinct (%)62.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:12.154552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.0471204
Min length1

Characters and Unicode

Total characters1164
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

Unique214 ?
Unique (%)56.0%

Sample

1st row386
2nd row84
3rd row160
4th row60
5th row158
ValueCountFrequency (%)
0 91
 
23.8%
16 9
 
2.4%
10 6
 
1.6%
11 6
 
1.6%
12 5
 
1.3%
13 5
 
1.3%
8 4
 
1.0%
142 4
 
1.0%
150 4
 
1.0%
9 3
 
0.8%
Other values (229) 245
64.1%
2024-01-10T06:09:12.636590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 307
26.4%
1 225
19.3%
2 97
 
8.3%
6 96
 
8.2%
8 93
 
8.0%
4 90
 
7.7%
3 66
 
5.7%
5 60
 
5.2%
9 40
 
3.4%
, 40
 
3.4%
Other values (2) 50
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1113
95.6%
Other Punctuation 51
 
4.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 307
27.6%
1 225
20.2%
2 97
 
8.7%
6 96
 
8.6%
8 93
 
8.4%
4 90
 
8.1%
3 66
 
5.9%
5 60
 
5.4%
9 40
 
3.6%
7 39
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 40
78.4%
. 11
 
21.6%

Most occurring scripts

ValueCountFrequency (%)
Common 1164
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 307
26.4%
1 225
19.3%
2 97
 
8.3%
6 96
 
8.2%
8 93
 
8.0%
4 90
 
7.7%
3 66
 
5.7%
5 60
 
5.2%
9 40
 
3.4%
, 40
 
3.4%
Other values (2) 50
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1164
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 307
26.4%
1 225
19.3%
2 97
 
8.3%
6 96
 
8.2%
8 93
 
8.0%
4 90
 
7.7%
3 66
 
5.7%
5 60
 
5.2%
9 40
 
3.4%
, 40
 
3.4%
Other values (2) 50
 
4.3%

현재체중
Text

Distinct241
Distinct (%)63.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:12.930690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.1020942
Min length1

Characters and Unicode

Total characters1185
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

Unique214 ?
Unique (%)56.0%

Sample

1st row386
2nd row84
3rd row178
4th row142
5th row198
ValueCountFrequency (%)
0 92
 
24.1%
16 8
 
2.1%
13 6
 
1.6%
12 5
 
1.3%
11 4
 
1.0%
9 4
 
1.0%
15 3
 
0.8%
7 3
 
0.8%
14 3
 
0.8%
10 3
 
0.8%
Other values (231) 251
65.7%
2024-01-10T06:09:13.364796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 315
26.6%
1 215
18.1%
2 106
 
8.9%
4 96
 
8.1%
6 92
 
7.8%
8 82
 
6.9%
3 66
 
5.6%
5 65
 
5.5%
7 54
 
4.6%
, 43
 
3.6%
Other values (2) 51
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1130
95.4%
Other Punctuation 55
 
4.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 315
27.9%
1 215
19.0%
2 106
 
9.4%
4 96
 
8.5%
6 92
 
8.1%
8 82
 
7.3%
3 66
 
5.8%
5 65
 
5.8%
7 54
 
4.8%
9 39
 
3.5%
Other Punctuation
ValueCountFrequency (%)
, 43
78.2%
. 12
 
21.8%

Most occurring scripts

ValueCountFrequency (%)
Common 1185
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 315
26.6%
1 215
18.1%
2 106
 
8.9%
4 96
 
8.1%
6 92
 
7.8%
8 82
 
6.9%
3 66
 
5.6%
5 65
 
5.5%
7 54
 
4.6%
, 43
 
3.6%
Other values (2) 51
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1185
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 315
26.6%
1 215
18.1%
2 106
 
8.9%
4 96
 
8.1%
6 92
 
7.8%
8 82
 
6.9%
3 66
 
5.6%
5 65
 
5.5%
7 54
 
4.6%
, 43
 
3.6%
Other values (2) 51
 
4.3%

임상적최종진단
Text

Distinct243
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-01-10T06:09:13.597537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length38
Mean length12.806283
Min length2

Characters and Unicode

Total characters4892
Distinct characters300
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

Unique218 ?
Unique (%)57.1%

Sample

1st row우측 요척골 개방골절
2nd row우측 어깻죽지 피부 광범위한 열상
3rd row충돌 개체
4th row미아
5th row충돌에 의한 내상 및 흉골 골절, 우측 metacarpophalangeal joint 탈구
ValueCountFrequency (%)
의한 79
 
5.5%
미아 71
 
5.0%
및 66
 
4.6%
골절 63
 
4.4%
충돌에 52
 
3.6%
좌측 42
 
2.9%
충돌 42
 
2.9%
방음벽 40
 
2.8%
개선충 37
 
2.6%
단순 37
 
2.6%
Other values (377) 903
63.1%
2024-01-10T06:09:13.966274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1054
 
21.5%
골 189
 
3.9%
충 143
 
2.9%
절 131
 
2.7%
한 120
 
2.5%
돌 101
 
2.1%
측 95
 
1.9%
의 93
 
1.9%
아 90
 
1.8%
개 88
 
1.8%
Other values (290) 2788
57.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3427
70.1%
Space Separator 1054
 
21.5%
Lowercase Letter 193
 
3.9%
Other Punctuation 95
 
1.9%
Uppercase Letter 45
 
0.9%
Decimal Number 38
 
0.8%
Close Punctuation 17
 
0.3%
Open Punctuation 17
 
0.3%
Math Symbol 3
 
0.1%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 189
 
5.5%
충 143
 
4.2%
절 131
 
3.8%
한 120
 
3.5%
돌 101
 
2.9%
측 95
 
2.8%
의 93
 
2.7%
아 90
 
2.6%
개 88
 
2.6%
미 85
 
2.5%
Other values (242) 2292
66.9%
Lowercase Letter
ValueCountFrequency (%)
a 28
14.5%
t 17
 
8.8%
e 17
 
8.8%
n 16
 
8.3%
o 15
 
7.8%
r 14
 
7.3%
i 14
 
7.3%
l 11
 
5.7%
p 9
 
4.7%
m 7
 
3.6%
Other values (13) 45
23.3%
Uppercase Letter
ValueCountFrequency (%)
L 26
57.8%
T 5
 
11.1%
R 3
 
6.7%
S 3
 
6.7%
C 2
 
4.4%
B 2
 
4.4%
H 2
 
4.4%
A 1
 
2.2%
G 1
 
2.2%
Decimal Number
ValueCountFrequency (%)
6 9
23.7%
1 8
21.1%
3 7
18.4%
4 6
15.8%
2 4
10.5%
5 3
 
7.9%
7 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 70
73.7%
. 14
 
14.7%
/ 10
 
10.5%
& 1
 
1.1%
Space Separator
ValueCountFrequency (%)
1054
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3427
70.1%
Common 1227
 
25.1%
Latin 238
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 189
 
5.5%
충 143
 
4.2%
절 131
 
3.8%
한 120
 
3.5%
돌 101
 
2.9%
측 95
 
2.8%
의 93
 
2.7%
아 90
 
2.6%
개 88
 
2.6%
미 85
 
2.5%
Other values (242) 2292
66.9%
Latin
ValueCountFrequency (%)
a 28
 
11.8%
L 26
 
10.9%
t 17
 
7.1%
e 17
 
7.1%
n 16
 
6.7%
o 15
 
6.3%
r 14
 
5.9%
i 14
 
5.9%
l 11
 
4.6%
p 9
 
3.8%
Other values (22) 71
29.8%
Common
ValueCountFrequency (%)
1054
85.9%
, 70
 
5.7%
) 17
 
1.4%
( 17
 
1.4%
. 14
 
1.1%
/ 10
 
0.8%
6 9
 
0.7%
1 8
 
0.7%
3 7
 
0.6%
4 6
 
0.5%
Other values (6) 15
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3427
70.1%
ASCII 1465
29.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1054
71.9%
, 70
 
4.8%
a 28
 
1.9%
L 26
 
1.8%
t 17
 
1.2%
) 17
 
1.2%
e 17
 
1.2%
( 17
 
1.2%
n 16
 
1.1%
o 15
 
1.0%
Other values (38) 188
 
12.8%
Hangul
ValueCountFrequency (%)
골 189
 
5.5%
충 143
 
4.2%
절 131
 
3.8%
한 120
 
3.5%
돌 101
 
2.9%
측 95
 
2.8%
의 93
 
2.7%
아 90
 
2.6%
개 88
 
2.6%
미 85
 
2.5%
Other values (242) 2292
66.9%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-0154괭이갈매기조강(Aves)도요목갈매기과해당없음해당없음해당없음2019-03-202019-03-20안락사<NA>기타UnknownAdult36.533889126.4817784<NA><NA>남해수산 앞충청남도 홍성군 서부면 남당리 160-159건물옆전선/건물과의 충돌전선 충돌로 추정36 32 02.0126 28 54.4<NA><NA>386386우측 요척골 개방골절
12019-0490알락도요조강(Aves)도요목도요과해당없음해당없음해당없음2019-05-172019-05-18DOA<NA>기타UnknownUnknown36.504694126.62513916<NA><NA>읍사무소 앞충청남도 홍성군 광천읍 신진리 411-40도로변알 수 없는 사고어딘가에 걸려 날개 죽지 피부가 찢어진 듯함36 30 16.9126 37 30.5<NA><NA>8484우측 어깻죽지 피부 광범위한 열상
22019-0392멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-05-092019-06-09폐사<NA>기타UnknownJuvenile36.601528126.66433331<NA><NA>톰스피자 가게충청남도 홍성군 홍성읍 아문길29번길 51 (오관리)건물옆어미를 잃음(미아)미아(재확인 필요)36 36 05.5126 39 51.6<NA><NA>160178충돌 개체
32019-0810멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-06-192019-07-23방생충청남도 예산군 예산읍 주교리 488-7<NA>UnknownNestling36.592861126.6643335636.682045126.820489<NA>충청남도 홍성군 홍성읍 남장리 108-3도로변어미를 잃음(미아)도로변에서 구조36 35 34.3126 39 51.636 40 58.4126 49 13.860142미아
42019-0935멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-07-032019-08-14방생충청남도 예산군 대흥면 갈신리 1<NA>UnknownJuvenile36.599083126.6481395136.668162126.86447음식점 건물 옆충청남도 홍성군 홍성읍 월산리 840-2건물옆전선/건물과의 충돌음식점 유리창에 충돌함36 35 56.7126 38 53.336 39 58.4126 51 47.2158198충돌에 의한 내상 및 흉골 골절, 우측 metacarpophalangeal joint 탈구
52019-1198멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-07-272019-07-27폐사체<NA>기타UnknownJuvenile36.635056126.53861134<NA><NA>도로 방음벽충청남도 홍성군 갈산면 취생리 202-1도로변전선/건물과의 충돌방음벽 충돌36 38 06.2126 32 19.0<NA><NA>00방음벽 충돌
62019-1225멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-07-302019-08-22방생충청남도 예산군 예산읍 산성리 275-56<NA>UnknownJuvenile36.597889126.6624723136.692224126.823044카센터 건물옆충청남도 홍성군 홍성읍 문화로 117건물옆전선/건물과의 충돌카센타 옆에서 발견. 날지 못하는 유조를 발견해 이틀간 길렀음.건물 충돌 추정36 35 52.4126 39 44.936 41 31.8126 49 23.6170192충돌에 의한 쇄골 및 흉골 골절
72019-1634멧비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-11-182020-01-21방생충청남도 예산군 오가면 신장리 970<NA>UnknownUnknown36.594667126.6531943936.663741126.812192회관 맞은편 도로충청남도 홍성군 홍성읍 옥암리 산 114-1도로변전선/건물과의 충돌건물충돌 추정36 35 40.8126 39 11.536 39 51.9126 48 42.0240210우측 오훼골 골절
82019-1701집비둘기조강(Aves)비둘기목비둘기과해당없음해당없음해당없음2019-12-052019-12-05DOA<NA>기타UnknownAdult36.593333126.67338938<NA><NA>주차장 부근충청남도 홍성군 홍성읍 충절로953번길 20건물옆전선/건물과의 충돌<NA>36 35 36.0126 40 24.2<NA><NA>202208우측 척골 팔꿈치머리 골절/우측 어깨관절 탈구
92019-0349까치조강(Aves)참새목까마귀과해당없음해당없음해당없음2019-05-052019-05-15방생충청남도 아산시 염치읍 대동리 264-1<NA>UnknownJuvenile36.599861126.6507224536.82551127.032902정수닭집충청남도 홍성군 홍성읍 법원로 22건물옆인공구조물 침입·고립인공구조물 고립36 35 59.5126 39 02.636 49 31.3127 01 58.6188206인공구조물에 고립된 미아 개체
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
3722022-0345너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-03-222022-03-24폐사<NA>기타(협조)Male0년0월0일36.32.338126.39.47461<NA><NA>가정집 마당충남 홍성군 홍동면 충서로 726번길 312건물옆- 기생충 중감염기생충 중감염<NA><NA><NA><NA>3,8804,000개선충 중감염, 심한 빈혈 탈수
3732022-0441너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-04-142022-04-17폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.38.599126.41.08129<NA><NA>홍성기상대 화단충남 홍성군 홍북읍 홍예로 350건물옆- 기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>3,5804,320개선충 중감염
3742022-1511너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-032022-10-24방생충남 예산군 신양면 하천리 산104-1<NA>Male0년0월0일36.36.085126.38.31266<NA><NA>건물옆충남 홍성군 홍성읍 월산리 539-1건물옆- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>8524,280개선충, 미아
3752022-1512너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-032022-10-17방생충남 예산군 대술면 시산리 산 108<NA>Female0년0월0일36.36.085126.38.31266<NA><NA>건물옆충남 홍성군 홍성읍 월산리 539-1건물옆- 어미를 잃음(미아)어미를 잃음(미아)<NA><NA><NA><NA>6844,490개선충, 좌이 소실
3762022-1653너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-172022-10-24방생충남 예산군 신양면 하천리 259<NA>Male0년0월0일36.36.100126.38.33161<NA><NA>가정집 뒷편충남 홍성군 홍성읍 월계1길 91-20건물옆- 기생충 중감염기생충 중감염<NA><NA><NA><NA>8403,940우측 외이 소실
3772022-1654너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-172022-07-17안락사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Female0년0월0일36.36.100126.38.33161<NA><NA>가정집 뒷편충남 홍성군 홍성읍 월계1길 91-20건물옆- 기생충 중감염기생충 중감염<NA><NA><NA><NA>700700양측 외이 소실
3782022-1677너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-07-192022-11-14방생충남 예산군 대흥면 갈신리 산 53<NA>Male0년3월0일36.36.097126.38.31563<NA><NA>주소지 부근 농경지, 주택가 경계충남 홍성군 홍성읍 월계1길 91-20건물옆- 기생충 중감염기생충 중감염/개선충 감염<NA><NA><NA><NA>1,4524,650개선충 중감염
3792022-2199너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-10-192022-10-19안락사<NA>냉동(신냉동창고)(투입박스(일반))Male0년0월0일36.38.570126.39.58746<NA><NA>주소지 인근 도로상충남 홍성군 홍북읍 신경리 509-221도로변- 차량과의 충돌차량과의 충돌 추정<NA><NA><NA><NA>5,0605,060L7,S1골절, 우측 대퇴 골두 골절
3802022-2348너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-202022-11-20DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.37.371126.38.2740<NA><NA>도로변 풀숲충남 홍성군 홍북읍 중계리 753도로변- 기생충 중감염기생충 중감염/개선충 감염<NA><NA><NA><NA>3,4003,400개선충중감염, 승저증
3812022-2365너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-242022-11-24폐사체<NA>냉동(신냉동창고)(투입박스(일반))Male0년0월0일36.31.439126.39.0460<NA><NA>주소지 내 도로변충남 홍성군 광천읍 월림리 401-3도로변- 차량과의 충돌차량과의 충돌<NA><NA><NA><NA>6,5406,540알 수 없음