Overview

Dataset statistics

Number of variables34
Number of observations1164
Missing cells6018
Missing cells (%)15.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory317.3 KiB
Average record size in memory279.1 B

Variable types

Text11
Categorical12
DateTime4
Numeric7

Dataset

Description충남 야생동물 구조센터에서 구조한 야생동물의 종, 구조시점, 위치 자료 및 구조 이후 조치결과에 대한 자료 중, 아산시 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=15109275

Alerts

발견일시 has constant value ""Constant
접수일시 has constant value ""Constant
천연기념물 is highly imbalanced (73.1%)Imbalance
멸종위기등급 is highly imbalanced (73.7%)Imbalance
야생동물보호협약 is highly imbalanced (60.8%)Imbalance
발견일시 has 1163 (99.9%) missing valuesMissing
접수일시 has 1163 (99.9%) missing valuesMissing
이첩 방생 위치 has 699 (60.1%) missing valuesMissing
방생위도 has 720 (61.9%) missing valuesMissing
방생경도 has 720 (61.9%) missing valuesMissing
발견장소상세 has 135 (11.6%) missing valuesMissing
방생위도(TM방생위도) has 703 (60.4%) missing valuesMissing
방생경도(TM방생경도) has 703 (60.4%) missing valuesMissing
접수번호 has unique valuesUnique
등록체중 has 219 (18.8%) zerosZeros
현재체중 has 225 (19.3%) zerosZeros

Reproduction

Analysis started2024-01-09 21:03:05.281211
Analysis finished2024-01-09 21:03:06.338182
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct1164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-01-10T06:03:06.560414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters10476
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

Unique1164 ?
Unique (%)100.0%

Sample

1st row2019-1706
2nd row2019-0578
3rd row2019-0579
4th row2019-0580
5th row2019-0581
ValueCountFrequency (%)
2019-1706 1
 
0.1%
2021-0852 1
 
0.1%
2021-1073 1
 
0.1%
2021-1778 1
 
0.1%
2021-1423 1
 
0.1%
2021-1533 1
 
0.1%
2021-1466 1
 
0.1%
2021-0021 1
 
0.1%
2021-1465 1
 
0.1%
2021-1463 1
 
0.1%
Other values (1154) 1154
99.1%
2024-01-10T06:03:06.997843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2471
23.6%
2 2362
22.5%
1 1672
16.0%
- 1164
11.1%
9 662
 
6.3%
6 393
 
3.8%
7 377
 
3.6%
4 354
 
3.4%
8 349
 
3.3%
3 348
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9312
88.9%
Dash Punctuation 1164
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2471
26.5%
2 2362
25.4%
1 1672
18.0%
9 662
 
7.1%
6 393
 
4.2%
7 377
 
4.0%
4 354
 
3.8%
8 349
 
3.7%
3 348
 
3.7%
5 324
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 1164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10476
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2471
23.6%
2 2362
22.5%
1 1672
16.0%
- 1164
11.1%
9 662
 
6.3%
6 393
 
3.8%
7 377
 
3.6%
4 354
 
3.4%
8 349
 
3.3%
3 348
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10476
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2471
23.6%
2 2362
22.5%
1 1672
16.0%
- 1164
11.1%
9 662
 
6.3%
6 393
 
3.8%
7 377
 
3.6%
4 354
 
3.4%
8 349
 
3.3%
3 348
 
3.3%

동물국문명
Text

Distinct81
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-01-10T06:03:07.189389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.4931271
Min length1

Characters and Unicode

Total characters4066
Distinct characters127
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)2.7%

Sample

1st row쇠기러기
2nd row원앙
3rd row원앙
4th row원앙
5th row원앙
ValueCountFrequency (%)
고라니 349
30.0%
멧비둘기 114
 
9.8%
너구리 91
 
7.8%
흰뺨검둥오리 89
 
7.6%
황조롱이 60
 
5.2%
참새 40
 
3.4%
수리부엉이 39
 
3.4%
집비둘기 35
 
3.0%
까치 34
 
2.9%
독수리 30
 
2.6%
Other values (71) 283
24.3%
2024-01-10T06:03:07.502181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
라 352
 
8.7%
고 350
 
8.6%
니 349
 
8.6%
리 306
 
7.5%
기 212
 
5.2%
비 178
 
4.4%
둘 149
 
3.7%
새 120
 
3.0%
멧 117
 
2.9%
구 115
 
2.8%
Other values (117) 1818
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4059
99.8%
Other Symbol 5
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 352
 
8.7%
고 350
 
8.6%
니 349
 
8.6%
리 306
 
7.5%
기 212
 
5.2%
비 178
 
4.4%
둘 149
 
3.7%
새 120
 
3.0%
멧 117
 
2.9%
구 115
 
2.8%
Other values (114) 1811
44.6%
Other Symbol
ValueCountFrequency (%)
㉵ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4064
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 352
 
8.7%
고 350
 
8.6%
니 349
 
8.6%
리 306
 
7.5%
기 212
 
5.2%
비 178
 
4.4%
둘 149
 
3.7%
새 120
 
3.0%
멧 117
 
2.9%
구 115
 
2.8%
Other values (115) 1816
44.7%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4059
99.8%
None 5
 
0.1%
ASCII 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
라 352
 
8.7%
고 350
 
8.6%
니 349
 
8.6%
리 306
 
7.5%
기 212
 
5.2%
비 178
 
4.4%
둘 149
 
3.7%
새 120
 
3.0%
멧 117
 
2.9%
구 115
 
2.8%
Other values (114) 1811
44.6%
None
ValueCountFrequency (%)
㉵ 5
100.0%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

강
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
조강(Aves)
689 
포유강(Mammalia)
470 
파충강(Reptilia)
 
5

Length

Max length13
Median length8
Mean length10.040378
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) 689
59.2%
포유강(Mammalia) 470
40.4%
파충강(Reptilia) 5
 
0.4%

Length

2024-01-10T06:03:07.641526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:07.746650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 689
59.2%
포유강(mammalia 470
40.4%
파충강(reptilia 5
 
0.4%

목
Categorical

Distinct20
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
소목
349 
참새목
202 
비둘기목
149 
매목
116 
기러기목
115 
Other values (15)
233 

Length

Max length5
Median length4
Mean length2.9046392
Min length2

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
소목 349
30.0%
참새목 202
17.4%
비둘기목 149
12.8%
매목 116
 
10.0%
기러기목 115
 
9.9%
식육목 99
 
8.5%
올빼미목 56
 
4.8%
황새목 20
 
1.7%
박쥐목 19
 
1.6%
딱다구리목 13
 
1.1%
Other values (10) 26
 
2.2%

Length

2024-01-10T06:03:07.855170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 349
30.0%
참새목 202
17.4%
비둘기목 149
12.8%
매목 116
 
10.0%
기러기목 115
 
9.9%
식육목 99
 
8.5%
올빼미목 56
 
4.8%
황새목 20
 
1.7%
박쥐목 19
 
1.6%
딱다구리목 13
 
1.1%
Other values (10) 26
 
2.2%

과
Categorical

Distinct44
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
사슴과
349 
비둘기과
149 
오리과
115 
개과
91 
매과
67 
Other values (39)
393 

Length

Max length5
Median length3
Mean length3.2448454
Min length2

Unique

Unique11 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 349
30.0%
비둘기과 149
12.8%
오리과 115
 
9.9%
개과 91
 
7.8%
매과 67
 
5.8%
까마귀과 56
 
4.8%
올빼미과 56
 
4.8%
수리과 49
 
4.2%
참새과 40
 
3.4%
박새과 27
 
2.3%
Other values (34) 165
14.2%

Length

2024-01-10T06:03:07.967082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 349
30.0%
비둘기과 149
12.8%
오리과 115
 
9.9%
개과 91
 
7.8%
매과 67
 
5.8%
까마귀과 56
 
4.8%
올빼미과 56
 
4.8%
수리과 49
 
4.2%
참새과 40
 
3.4%
박새과 27
 
2.3%
Other values (34) 165
14.2%

천연기념물
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
해당없음
996 
323-8
 
60
324-2
 
39
243-1
 
30
327
 
11
Other values (7)
 
28

Length

Max length5
Median length4
Mean length4.1237113
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 996
85.6%
323-8 60
 
5.2%
324-2 39
 
3.4%
243-1 30
 
2.6%
327 11
 
0.9%
324-6 11
 
0.9%
324-3 5
 
0.4%
323-4 4
 
0.3%
323-1 4
 
0.3%
323-7 2
 
0.2%
Other values (2) 2
 
0.2%

Length

2024-01-10T06:03:08.091706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
해당없음 996
85.6%
323-8 60
 
5.2%
324-2 39
 
3.4%
243-1 30
 
2.6%
327 11
 
0.9%
324-6 11
 
0.9%
324-3 5
 
0.4%
323-4 4
 
0.3%
323-1 4
 
0.3%
323-7 2
 
0.2%
Other values (2) 2
 
0.2%

멸종위기등급
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
해당없음
1070 
2 급
 
92
1 급
 
2

Length

Max length4
Median length4
Mean length3.919244
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 1070
91.9%
2 급 92
 
7.9%
1 급 2
 
0.2%

Length

2024-01-10T06:03:08.211244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:08.298681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 1070
85.1%
급 94
 
7.5%
2 92
 
7.3%
1 2
 
0.2%

야생동물보호협약
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
해당없음
990 
부속서 2종
172 
부속서 1종
 
2

Length

Max length6
Median length4
Mean length4.2989691
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
해당없음 990
85.1%
부속서 2종 172
 
14.8%
부속서 1종 2
 
0.2%

Length

2024-01-10T06:03:08.411924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:08.517278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 990
74.0%
부속서 174
 
13.0%
2종 172
 
12.9%
1종 2
 
0.1%

발견일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1163
Missing (%)99.9%
Memory size9.2 KiB
Minimum2019-12-09 00:00:00
Maximum2019-12-09 00:00:00
2024-01-10T06:03:08.591488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:03:08.956438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

접수일시
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing1163
Missing (%)99.9%
Memory size9.2 KiB
Minimum2019-12-09 00:00:00
Maximum2019-12-09 00:00:00
2024-01-10T06:03:09.068448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:03:09.146281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

구조일시
Date

Distinct584
Distinct (%)50.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Minimum2019-01-01 00:00:00
Maximum2021-12-30 00:00:00
2024-01-10T06:03:09.246568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:03:09.369175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct589
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Minimum2019-01-01 00:00:00
Maximum2022-03-15 00:00:00
2024-01-10T06:03:09.488022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:03:09.624231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct8
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
방생
461 
안락사
259 
폐사체
154 
폐사
148 
DOA
133 
Other values (3)
 
9

Length

Max length3
Median length2
Mean length2.4690722
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
방생 461
39.6%
안락사 259
22.3%
폐사체 154
 
13.2%
폐사 148
 
12.7%
DOA 133
 
11.4%
이첩 4
 
0.3%
기타 4
 
0.3%
계류 1
 
0.1%

Length

2024-01-10T06:03:09.751314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:09.855697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 461
39.6%
안락사 259
22.3%
폐사체 154
 
13.2%
폐사 148
 
12.7%
doa 133
 
11.4%
이첩 4
 
0.3%
기타 4
 
0.3%
계류 1
 
0.1%

이첩 방생 위치
Text

MISSING 

Distinct278
Distinct (%)59.8%
Missing699
Missing (%)60.1%
Memory size9.2 KiB
2024-01-10T06:03:10.203436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.739785
Min length5

Characters and Unicode

Total characters9644
Distinct characters186
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

Unique213 ?
Unique (%)45.8%

Sample

1st row충청남도 예산군 대흥면 손지리 577
2nd row충청남도 예산군 대흥면 손지리 577
3rd row충청남도 예산군 대흥면 손지리 577
4th row충청남도 예산군 대흥면 손지리 577
5th row충청남도 예산군 대흥면 손지리 577
ValueCountFrequency (%)
충청남도 454
 
19.1%
예산군 203
 
8.6%
아산시 179
 
7.5%
산 97
 
4.1%
예산읍 68
 
2.9%
대흥면 63
 
2.7%
대회리 46
 
1.9%
손지리 40
 
1.7%
송악면 34
 
1.4%
서산시 31
 
1.3%
Other values (472) 1159
48.8%
2024-01-10T06:03:10.664218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1960
20.3%
산 632
 
6.6%
도 476
 
4.9%
남 469
 
4.9%
청 457
 
4.7%
충 454
 
4.7%
리 410
 
4.3%
면 319
 
3.3%
1 291
 
3.0%
예 273
 
2.8%
Other values (176) 3903
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6040
62.6%
Space Separator 1960
 
20.3%
Decimal Number 1409
 
14.6%
Dash Punctuation 235
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 632
 
10.5%
도 476
 
7.9%
남 469
 
7.8%
청 457
 
7.6%
충 454
 
7.5%
리 410
 
6.8%
면 319
 
5.3%
예 273
 
4.5%
시 246
 
4.1%
군 223
 
3.7%
Other values (164) 2081
34.5%
Decimal Number
ValueCountFrequency (%)
1 291
20.7%
3 177
12.6%
5 176
12.5%
2 151
10.7%
4 141
10.0%
6 120
8.5%
7 118
8.4%
8 81
 
5.7%
0 80
 
5.7%
9 74
 
5.3%
Space Separator
ValueCountFrequency (%)
1960
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6040
62.6%
Common 3604
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 632
 
10.5%
도 476
 
7.9%
남 469
 
7.8%
청 457
 
7.6%
충 454
 
7.5%
리 410
 
6.8%
면 319
 
5.3%
예 273
 
4.5%
시 246
 
4.1%
군 223
 
3.7%
Other values (164) 2081
34.5%
Common
ValueCountFrequency (%)
1960
54.4%
1 291
 
8.1%
- 235
 
6.5%
3 177
 
4.9%
5 176
 
4.9%
2 151
 
4.2%
4 141
 
3.9%
6 120
 
3.3%
7 118
 
3.3%
8 81
 
2.2%
Other values (2) 154
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6040
62.6%
ASCII 3604
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1960
54.4%
1 291
 
8.1%
- 235
 
6.5%
3 177
 
4.9%
5 176
 
4.9%
2 151
 
4.2%
4 141
 
3.9%
6 120
 
3.3%
7 118
 
3.3%
8 81
 
2.2%
Other values (2) 154
 
4.3%
Hangul
ValueCountFrequency (%)
산 632
 
10.5%
도 476
 
7.9%
남 469
 
7.8%
청 457
 
7.6%
충 454
 
7.5%
리 410
 
6.8%
면 319
 
5.3%
예 273
 
4.5%
시 246
 
4.1%
군 223
 
3.7%
Other values (164) 2081
34.5%

사체처리
Categorical

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
기타
694 
<NA>
470 

Length

Max length4
Median length2
Mean length2.8075601
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 694
59.6%
<NA> 470
40.4%

Length

2024-01-10T06:03:10.797502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:10.898211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 694
59.6%
na 470
40.4%

동물성별
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
Unknown
756 
Male
215 
Female
176 
Female(?)
 
12
Male(?)
 
5

Length

Max length9
Median length7
Mean length6.3152921
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 756
64.9%
Male 215
 
18.5%
Female 176
 
15.1%
Female(?) 12
 
1.0%
Male(?) 5
 
0.4%

Length

2024-01-10T06:03:11.002153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:11.112583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 756
64.9%
male 220
 
18.9%
female 188
 
16.2%

동물연령
Categorical

Distinct45
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
0년0월0일
253 
Juvenile
249 
Nestling
175 
Unknown
146 
Adult
118 
Other values (40)
223 

Length

Max length8
Median length7
Mean length6.7878007
Min length5

Unique

Unique12 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 253
21.7%
Juvenile 249
21.4%
Nestling 175
15.0%
Unknown 146
12.5%
Adult 118
10.1%
0년1월0일 26
 
2.2%
0년6월0일 19
 
1.6%
1년0월0일 19
 
1.6%
0년11월0일 18
 
1.5%
0년10월0일 14
 
1.2%
Other values (35) 127
10.9%

Length

2024-01-10T06:03:11.227271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 253
21.7%
juvenile 249
21.4%
nestling 175
15.0%
unknown 146
12.5%
adult 118
10.1%
0년1월0일 26
 
2.2%
0년6월0일 19
 
1.6%
1년0월0일 19
 
1.6%
0년11월0일 18
 
1.5%
0년10월0일 14
 
1.2%
Other values (36) 128
11.0%

구조위도
Real number (ℝ)

Distinct824
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.804674
Minimum36.430972
Maximum37.791444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:11.349680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.430972
5-th percentile36.725694
Q136.770993
median36.7905
Q336.841715
95-th percentile36.90475
Maximum37.791444
Range1.360472
Interquartile range (IQR)0.070722

Descriptive statistics

Standard deviation0.060867294
Coefficient of variation (CV)0.0016537925
Kurtosis59.443401
Mean36.804674
Median Absolute Deviation (MAD)0.0304305
Skewness3.7570546
Sum42840.64
Variance0.0037048275
MonotonicityNot monotonic
2024-01-10T06:03:11.496061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.841417 18
 
1.5%
36.738167 13
 
1.1%
36.826056 10
 
0.9%
36.843833 9
 
0.8%
36.828694 9
 
0.8%
36.77275 8
 
0.7%
36.7905 8
 
0.7%
36.798194 8
 
0.7%
36.783972 7
 
0.6%
36.872083 7
 
0.6%
Other values (814) 1067
91.7%
ValueCountFrequency (%)
36.430972 1
0.1%
36.662694 1
0.1%
36.668083 1
0.1%
36.672389 1
0.1%
36.676361 1
0.1%
36.677 1
0.1%
36.685583 1
0.1%
36.689972 1
0.1%
36.691722 1
0.1%
36.69233300000001 1
0.1%
ValueCountFrequency (%)
37.791444 1
 
0.1%
36.936583 1
 
0.1%
36.930583 1
 
0.1%
36.929778000000006 1
 
0.1%
36.929694 5
0.4%
36.928861 1
 
0.1%
36.92802800000001 1
 
0.1%
36.927917 3
0.3%
36.927889 1
 
0.1%
36.926722 1
 
0.1%

구조경도
Real number (ℝ)

Distinct861
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.00104
Minimum126.37808
Maximum127.21025
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:11.632946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.37808
5-th percentile126.86671
Q1126.96099
median127.01046
Q3127.05889
95-th percentile127.09886
Maximum127.21025
Range0.832167
Interquartile range (IQR)0.09789625

Descriptive statistics

Standard deviation0.070781065
Coefficient of variation (CV)0.00055732666
Kurtosis4.3139507
Mean127.00104
Median Absolute Deviation (MAD)0.0490695
Skewness-0.99580431
Sum147829.21
Variance0.0050099592
MonotonicityNot monotonic
2024-01-10T06:03:11.782590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.073444 20
 
1.7%
126.860278 13
 
1.1%
126.967861 10
 
0.9%
126.860472 9
 
0.8%
127.099139 9
 
0.8%
127.093278 8
 
0.7%
127.08275 7
 
0.6%
127.01775 7
 
0.6%
127.051361 6
 
0.5%
126.900611 6
 
0.5%
Other values (851) 1069
91.8%
ValueCountFrequency (%)
126.378083 1
 
0.1%
126.837778 1
 
0.1%
126.841056 1
 
0.1%
126.847556 3
0.3%
126.848083 1
 
0.1%
126.848361 1
 
0.1%
126.853222 1
 
0.1%
126.856 1
 
0.1%
126.856556 1
 
0.1%
126.857444 1
 
0.1%
ValueCountFrequency (%)
127.21025 1
 
0.1%
127.11325 1
 
0.1%
127.1125 1
 
0.1%
127.111806 1
 
0.1%
127.111778 2
0.2%
127.109278 1
 
0.1%
127.10925 1
 
0.1%
127.108889 1
 
0.1%
127.108722 4
0.3%
127.108639 1
 
0.1%

구조고도
Real number (ℝ)

Distinct134
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.769759
Minimum0
Maximum311
Zeros2
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:11.905702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q119
median31
Q350
95-th percentile97
Maximum311
Range311
Interquartile range (IQR)31

Descriptive statistics

Standard deviation33.042539
Coefficient of variation (CV)0.83084583
Kurtosis14.03065
Mean39.769759
Median Absolute Deviation (MAD)14
Skewness2.9285872
Sum46292
Variance1091.8094
MonotonicityNot monotonic
2024-01-10T06:03:12.030885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 50
 
4.3%
18 38
 
3.3%
27 32
 
2.7%
17 30
 
2.6%
6 30
 
2.6%
26 28
 
2.4%
19 27
 
2.3%
29 26
 
2.2%
32 25
 
2.1%
63 25
 
2.1%
Other values (124) 853
73.3%
ValueCountFrequency (%)
0 2
 
0.2%
1 3
 
0.3%
2 5
 
0.4%
3 2
 
0.2%
4 17
1.5%
5 4
 
0.3%
6 30
2.6%
7 5
 
0.4%
8 6
 
0.5%
9 11
 
0.9%
ValueCountFrequency (%)
311 1
 
0.1%
272 1
 
0.1%
252 4
0.3%
228 1
 
0.1%
219 1
 
0.1%
184 2
0.2%
179 1
 
0.1%
173 1
 
0.1%
167 1
 
0.1%
162 1
 
0.1%

방생위도
Real number (ℝ)

MISSING 

Distinct254
Distinct (%)57.2%
Missing720
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean36.700871
Minimum36.064226
Maximum36.95933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:12.165101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.064226
5-th percentile36.52765
Q136.66023
median36.689592
Q336.767147
95-th percentile36.869198
Maximum36.95933
Range0.89510348
Interquartile range (IQR)0.10691756

Descriptive statistics

Standard deviation0.11833527
Coefficient of variation (CV)0.0032243176
Kurtosis6.4699728
Mean36.700871
Median Absolute Deviation (MAD)0.050228895
Skewness-1.6109821
Sum16295.187
Variance0.014003235
MonotonicityNot monotonic
2024-01-10T06:03:12.340192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.67008139 26
 
2.2%
36.66022951 16
 
1.4%
36.65922437 12
 
1.0%
36.84984967 11
 
0.9%
36.66606467 10
 
0.9%
36.61547653 9
 
0.8%
36.67682848 9
 
0.8%
36.87675129 6
 
0.5%
36.78012244 5
 
0.4%
36.79044748 5
 
0.4%
Other values (244) 335
28.8%
(Missing) 720
61.9%
ValueCountFrequency (%)
36.06422618 1
 
0.1%
36.1107018 1
 
0.1%
36.16799571 3
0.3%
36.21120766 1
 
0.1%
36.25859263 1
 
0.1%
36.29276916 1
 
0.1%
36.32660454 1
 
0.1%
36.36345959 2
0.2%
36.39479744 1
 
0.1%
36.40500963 1
 
0.1%
ValueCountFrequency (%)
36.95932966 1
 
0.1%
36.92972469 5
0.4%
36.92714245 1
 
0.1%
36.92273865 2
 
0.2%
36.91969898 3
0.3%
36.91377887 1
 
0.1%
36.89865226 1
 
0.1%
36.89394132 1
 
0.1%
36.89337216 1
 
0.1%
36.87675129 6
0.5%

방생경도
Real number (ℝ)

MISSING 

Distinct254
Distinct (%)57.2%
Missing720
Missing (%)61.9%
Infinite0
Infinite (%)0.0%
Mean126.88284
Minimum126.33987
Maximum127.49897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:12.473558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.33987
5-th percentile126.41191
Q1126.82034
median126.86989
Q3127.00774
95-th percentile127.09094
Maximum127.49897
Range1.1591034
Interquartile range (IQR)0.187398

Descriptive statistics

Standard deviation0.18597368
Coefficient of variation (CV)0.0014657118
Kurtosis1.9428983
Mean126.88284
Median Absolute Deviation (MAD)0.080804
Skewness-0.88326313
Sum56335.983
Variance0.034586211
MonotonicityNot monotonic
2024-01-10T06:03:12.601247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.85966609999998 26
 
2.2%
126.812534 16
 
1.4%
126.8117789 12
 
1.0%
127.0779084 11
 
0.9%
126.8663143 10
 
0.9%
126.8451227 9
 
0.8%
126.8234697 9
 
0.8%
126.8698903 6
 
0.5%
126.94395559999998 5
 
0.4%
127.0827948 5
 
0.4%
Other values (244) 335
28.8%
(Missing) 720
61.9%
ValueCountFrequency (%)
126.33987 2
0.2%
126.3655969 1
 
0.1%
126.3781078 2
0.2%
126.379893 3
0.3%
126.3826569 1
 
0.1%
126.383956 1
 
0.1%
126.3877698 2
0.2%
126.3907112 1
 
0.1%
126.391016 2
0.2%
126.3929763 1
 
0.1%
ValueCountFrequency (%)
127.4989734 1
 
0.1%
127.4371773 3
0.3%
127.2911055 1
 
0.1%
127.2595397 2
0.2%
127.2470079 1
 
0.1%
127.196901 1
 
0.1%
127.1872935 1
 
0.1%
127.1673554 1
 
0.1%
127.1371317 1
 
0.1%
127.1251345 1
 
0.1%

발견장소상세
Text

MISSING 

Distinct682
Distinct (%)66.3%
Missing135
Missing (%)11.6%
Memory size9.2 KiB
2024-01-10T06:03:12.917538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length9.6462585
Min length1

Characters and Unicode

Total characters9926
Distinct characters426
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

Unique594 ?
Unique (%)57.7%

Sample

1st row송전탑 아래
2nd row(아산로 645-50) 레미콘 사업장 부근
3rd row(아산로 645-50) 레미콘 사업장 부근
4th row(아산로 645-50) 레미콘 사업장 부근
5th row(아산로 645-50) 레미콘 사업장 부근
ValueCountFrequency (%)
앞 119
 
4.3%
도로변 110
 
4.0%
주소지 96
 
3.5%
부근 95
 
3.4%
건물 91
 
3.3%
아파트 88
 
3.2%
내 77
 
2.8%
옆 76
 
2.7%
도로 61
 
2.2%
단지 56
 
2.0%
Other values (836) 1898
68.6%
2024-01-10T06:03:13.358787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1780
 
17.9%
로 352
 
3.5%
지 274
 
2.8%
아 235
 
2.4%
도 224
 
2.3%
주 187
 
1.9%
부 165
 
1.7%
파 153
 
1.5%
트 150
 
1.5%
1 149
 
1.5%
Other values (416) 6257
63.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7233
72.9%
Space Separator 1780
 
17.9%
Decimal Number 670
 
6.7%
Close Punctuation 87
 
0.9%
Open Punctuation 87
 
0.9%
Dash Punctuation 43
 
0.4%
Uppercase Letter 10
 
0.1%
Other Punctuation 8
 
0.1%
Lowercase Letter 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 352
 
4.9%
지 274
 
3.8%
아 235
 
3.2%
도 224
 
3.1%
주 187
 
2.6%
부 165
 
2.3%
파 153
 
2.1%
트 150
 
2.1%
물 142
 
2.0%
근 140
 
1.9%
Other values (386) 5211
72.0%
Decimal Number
ValueCountFrequency (%)
1 149
22.2%
0 105
15.7%
3 86
12.8%
2 80
11.9%
5 66
9.9%
4 53
 
7.9%
8 45
 
6.7%
7 37
 
5.5%
6 35
 
5.2%
9 14
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
S 2
20.0%
K 2
20.0%
C 2
20.0%
M 1
10.0%
T 1
10.0%
A 1
10.0%
G 1
10.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
25.0%
a 1
12.5%
j 1
12.5%
c 1
12.5%
i 1
12.5%
h 1
12.5%
g 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Space Separator
ValueCountFrequency (%)
1780
100.0%
Close Punctuation
ValueCountFrequency (%)
) 87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7233
72.9%
Common 2675
 
26.9%
Latin 18
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 352
 
4.9%
지 274
 
3.8%
아 235
 
3.2%
도 224
 
3.1%
주 187
 
2.6%
부 165
 
2.3%
파 153
 
2.1%
트 150
 
2.1%
물 142
 
2.0%
근 140
 
1.9%
Other values (386) 5211
72.0%
Common
ValueCountFrequency (%)
1780
66.5%
1 149
 
5.6%
0 105
 
3.9%
) 87
 
3.3%
( 87
 
3.3%
3 86
 
3.2%
2 80
 
3.0%
5 66
 
2.5%
4 53
 
2.0%
8 45
 
1.7%
Other values (6) 137
 
5.1%
Latin
ValueCountFrequency (%)
S 2
11.1%
K 2
11.1%
C 2
11.1%
e 2
11.1%
M 1
 
5.6%
a 1
 
5.6%
j 1
 
5.6%
T 1
 
5.6%
A 1
 
5.6%
c 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7233
72.9%
ASCII 2693
 
27.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1780
66.1%
1 149
 
5.5%
0 105
 
3.9%
) 87
 
3.2%
( 87
 
3.2%
3 86
 
3.2%
2 80
 
3.0%
5 66
 
2.5%
4 53
 
2.0%
8 45
 
1.7%
Other values (20) 155
 
5.8%
Hangul
ValueCountFrequency (%)
로 352
 
4.9%
지 274
 
3.8%
아 235
 
3.2%
도 224
 
3.1%
주 187
 
2.6%
부 165
 
2.3%
파 153
 
2.1%
트 150
 
2.1%
물 142
 
2.0%
근 140
 
1.9%
Other values (386) 5211
72.0%

발견주소
Text

Distinct878
Distinct (%)75.4%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-01-10T06:03:13.667384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.471649
Min length9

Characters and Unicode

Total characters23829
Distinct characters177
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

Unique769 ?
Unique (%)66.1%

Sample

1st row충청남도 아산시 선장면 신동리 97-5
2nd row충청남도 아산시 염치읍 염성리 132
3rd row충청남도 아산시 염치읍 염성리 132
4th row충청남도 아산시 염치읍 염성리 132
5th row충청남도 아산시 염치읍 염성리 132
ValueCountFrequency (%)
충청남도 1164
20.9%
아산시 1164
20.9%
배방읍 177
 
3.2%
음봉면 130
 
2.3%
탕정면 90
 
1.6%
인주면 73
 
1.3%
신창면 72
 
1.3%
둔포면 71
 
1.3%
도고면 65
 
1.2%
염치읍 65
 
1.2%
Other values (1023) 2502
44.9%
2024-01-10T06:03:14.122508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4484
18.8%
산 1329
 
5.6%
도 1234
 
5.2%
아 1191
 
5.0%
남 1185
 
5.0%
시 1175
 
4.9%
청 1169
 
4.9%
충 1166
 
4.9%
1 851
 
3.6%
리 844
 
3.5%
Other values (167) 9201
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14500
60.9%
Space Separator 4484
 
18.8%
Decimal Number 4198
 
17.6%
Dash Punctuation 645
 
2.7%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1329
 
9.2%
도 1234
 
8.5%
아 1191
 
8.2%
남 1185
 
8.2%
시 1175
 
8.1%
청 1169
 
8.1%
충 1166
 
8.0%
리 844
 
5.8%
면 662
 
4.6%
동 315
 
2.2%
Other values (153) 4230
29.2%
Decimal Number
ValueCountFrequency (%)
1 851
20.3%
2 520
12.4%
4 438
10.4%
3 437
10.4%
5 417
9.9%
7 351
8.4%
6 323
 
7.7%
0 307
 
7.3%
8 295
 
7.0%
9 259
 
6.2%
Space Separator
ValueCountFrequency (%)
4484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 645
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14500
60.9%
Common 9329
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1329
 
9.2%
도 1234
 
8.5%
아 1191
 
8.2%
남 1185
 
8.2%
시 1175
 
8.1%
청 1169
 
8.1%
충 1166
 
8.0%
리 844
 
5.8%
면 662
 
4.6%
동 315
 
2.2%
Other values (153) 4230
29.2%
Common
ValueCountFrequency (%)
4484
48.1%
1 851
 
9.1%
- 645
 
6.9%
2 520
 
5.6%
4 438
 
4.7%
3 437
 
4.7%
5 417
 
4.5%
7 351
 
3.8%
6 323
 
3.5%
0 307
 
3.3%
Other values (4) 556
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14500
60.9%
ASCII 9329
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4484
48.1%
1 851
 
9.1%
- 645
 
6.9%
2 520
 
5.6%
4 438
 
4.7%
3 437
 
4.7%
5 417
 
4.5%
7 351
 
3.8%
6 323
 
3.5%
0 307
 
3.3%
Other values (4) 556
 
6.0%
Hangul
ValueCountFrequency (%)
산 1329
 
9.2%
도 1234
 
8.5%
아 1191
 
8.2%
남 1185
 
8.2%
시 1175
 
8.1%
청 1169
 
8.1%
충 1166
 
8.0%
리 844
 
5.8%
면 662
 
4.6%
동 315
 
2.2%
Other values (153) 4230
29.2%

발견장소특징
Categorical

Distinct7
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
건물옆
581 
도로변
306 
농경지
137 
기타
66 
숲
 
50
Other values (2)
 
24

Length

Max length5
Median length3
Mean length2.8883162
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 581
49.9%
도로변 306
26.3%
농경지 137
 
11.8%
기타 66
 
5.7%
숲 50
 
4.3%
강, 바다 20
 
1.7%
전선 4
 
0.3%

Length

2024-01-10T06:03:14.259157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:03:14.374517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 581
49.1%
도로변 306
25.8%
농경지 137
 
11.6%
기타 66
 
5.6%
숲 50
 
4.2%
강 20
 
1.7%
바다 20
 
1.7%
전선 4
 
0.3%

발생원인
Categorical

Distinct23
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
어미를 잃음(미아)
292 
차량과의 충돌
228 
전선/건물과의 충돌
177 
인공구조물 침입·고립
123 
기생충 중감염
64 
Other values (18)
280 

Length

Max length11
Median length10
Mean length8.6649485
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
어미를 잃음(미아) 292
25.1%
차량과의 충돌 228
19.6%
전선/건물과의 충돌 177
15.2%
인공구조물 침입·고립 123
10.6%
기생충 중감염 64
 
5.5%
인공구조물에 얽힘 54
 
4.6%
개, 고양이 공격 38
 
3.3%
중독사고(농약) 36
 
3.1%
바이러스 감염 29
 
2.5%
농수로 고립 27
 
2.3%
Other values (13) 96
 
8.2%

Length

2024-01-10T06:03:14.492266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 405
17.3%
어미를 292
12.4%
잃음(미아 292
12.4%
차량과의 228
9.7%
전선/건물과의 177
 
7.5%
인공구조물 123
 
5.2%
침입·고립 123
 
5.2%
기생충 64
 
2.7%
중감염 64
 
2.7%
얽힘 54
 
2.3%
Other values (29) 525
22.4%

발생원인 세부사항
Text

Distinct409
Distinct (%)35.3%
Missing4
Missing (%)0.3%
Memory size9.2 KiB
2024-01-10T06:03:14.733939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length40
Mean length10.902586
Min length2

Characters and Unicode

Total characters12647
Distinct characters340
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)25.2%

Sample

1st row전선 충
2nd row어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)
3rd row어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)
4th row어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)
5th row어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)
ValueCountFrequency (%)
충돌 308
 
9.3%
어미를 166
 
5.0%
추정 152
 
4.6%
차량과의 142
 
4.3%
고립 123
 
3.7%
잃음(미아 105
 
3.2%
인공구조물 92
 
2.8%
미아 82
 
2.5%
차량충돌 72
 
2.2%
침입 69
 
2.1%
Other values (511) 2017
60.6%
2024-01-10T06:03:15.114164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2275
 
18.0%
충 539
 
4.3%
돌 429
 
3.4%
미 365
 
2.9%
물 283
 
2.2%
고 275
 
2.2%
량 249
 
2.0%
차 245
 
1.9%
아 226
 
1.8%
의 219
 
1.7%
Other values (330) 7542
59.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9711
76.8%
Space Separator 2275
 
18.0%
Other Punctuation 289
 
2.3%
Close Punctuation 165
 
1.3%
Open Punctuation 165
 
1.3%
Lowercase Letter 28
 
0.2%
Decimal Number 13
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 539
 
5.6%
돌 429
 
4.4%
미 365
 
3.8%
물 283
 
2.9%
고 275
 
2.8%
량 249
 
2.6%
차 245
 
2.5%
아 226
 
2.3%
의 219
 
2.3%
과 216
 
2.2%
Other values (303) 6665
68.6%
Lowercase Letter
ValueCountFrequency (%)
r 4
14.3%
u 3
10.7%
p 3
10.7%
c 3
10.7%
v 3
10.7%
t 2
7.1%
o 2
7.1%
a 2
7.1%
i 2
7.1%
s 1
 
3.6%
Other values (3) 3
10.7%
Other Punctuation
ValueCountFrequency (%)
/ 194
67.1%
, 62
 
21.5%
· 23
 
8.0%
. 5
 
1.7%
: 4
 
1.4%
? 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
5 7
53.8%
4 4
30.8%
2 1
 
7.7%
3 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2275
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9711
76.8%
Common 2908
 
23.0%
Latin 28
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 539
 
5.6%
돌 429
 
4.4%
미 365
 
3.8%
물 283
 
2.9%
고 275
 
2.8%
량 249
 
2.6%
차 245
 
2.5%
아 226
 
2.3%
의 219
 
2.3%
과 216
 
2.2%
Other values (303) 6665
68.6%
Common
ValueCountFrequency (%)
2275
78.2%
/ 194
 
6.7%
) 165
 
5.7%
( 165
 
5.7%
, 62
 
2.1%
· 23
 
0.8%
5 7
 
0.2%
. 5
 
0.2%
4 4
 
0.1%
: 4
 
0.1%
Other values (4) 4
 
0.1%
Latin
ValueCountFrequency (%)
r 4
14.3%
u 3
10.7%
p 3
10.7%
c 3
10.7%
v 3
10.7%
t 2
7.1%
o 2
7.1%
a 2
7.1%
i 2
7.1%
s 1
 
3.6%
Other values (3) 3
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9711
76.8%
ASCII 2913
 
23.0%
None 23
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2275
78.1%
/ 194
 
6.7%
) 165
 
5.7%
( 165
 
5.7%
, 62
 
2.1%
5 7
 
0.2%
. 5
 
0.2%
4 4
 
0.1%
: 4
 
0.1%
r 4
 
0.1%
Other values (16) 28
 
1.0%
Hangul
ValueCountFrequency (%)
충 539
 
5.6%
돌 429
 
4.4%
미 365
 
3.8%
물 283
 
2.9%
고 275
 
2.8%
량 249
 
2.6%
차 245
 
2.5%
아 226
 
2.3%
의 219
 
2.3%
과 216
 
2.2%
Other values (303) 6665
68.6%
None
ValueCountFrequency (%)
· 23
100.0%

구조위도(TM구조위도)
Text

Distinct824
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-01-10T06:03:15.422451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters11640
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

Unique664 ?
Unique (%)57.0%

Sample

1st row36 47 40.7
2nd row36 49 33.8
3rd row36 49 33.8
4th row36 49 33.8
5th row36 49 33.8
ValueCountFrequency (%)
36 1163
33.3%
47 222
 
6.4%
46 217
 
6.2%
50 111
 
3.2%
45 109
 
3.1%
49 80
 
2.3%
48 74
 
2.1%
52 61
 
1.7%
44 57
 
1.6%
53 48
 
1.4%
Other values (483) 1350
38.7%
2024-01-10T06:03:15.832306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2328
20.0%
3 1669
14.3%
6 1598
13.7%
4 1330
11.4%
. 1164
10.0%
5 911
 
7.8%
2 527
 
4.5%
1 527
 
4.5%
0 526
 
4.5%
7 462
 
4.0%
Other values (2) 598
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8148
70.0%
Space Separator 2328
 
20.0%
Other Punctuation 1164
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1669
20.5%
6 1598
19.6%
4 1330
16.3%
5 911
11.2%
2 527
 
6.5%
1 527
 
6.5%
0 526
 
6.5%
7 462
 
5.7%
9 324
 
4.0%
8 274
 
3.4%
Space Separator
ValueCountFrequency (%)
2328
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2328
20.0%
3 1669
14.3%
6 1598
13.7%
4 1330
11.4%
. 1164
10.0%
5 911
 
7.8%
2 527
 
4.5%
1 527
 
4.5%
0 526
 
4.5%
7 462
 
4.0%
Other values (2) 598
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2328
20.0%
3 1669
14.3%
6 1598
13.7%
4 1330
11.4%
. 1164
10.0%
5 911
 
7.8%
2 527
 
4.5%
1 527
 
4.5%
0 526
 
4.5%
7 462
 
4.0%
Other values (2) 598
 
5.1%

구조경도(TM구조경도)
Text

Distinct861
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2024-01-10T06:03:16.185971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters12804
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

Unique719 ?
Unique (%)61.8%

Sample

1st row126 52 50.0
2nd row126 58 04.3
3rd row126 58 04.3
4th row126 58 04.3
5th row126 58 04.3
ValueCountFrequency (%)
127 669
19.2%
126 495
 
14.2%
00 158
 
4.5%
03 119
 
3.4%
04 112
 
3.2%
59 103
 
2.9%
01 102
 
2.9%
58 84
 
2.4%
05 75
 
2.1%
02 57
 
1.6%
Other values (481) 1518
43.5%
2024-01-10T06:03:16.629397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2328
18.2%
2 1729
13.5%
1 1725
13.5%
0 1295
10.1%
. 1164
9.1%
5 993
7.8%
7 957
7.5%
6 801
 
6.3%
4 591
 
4.6%
3 581
 
4.5%
Other values (2) 640
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9312
72.7%
Space Separator 2328
 
18.2%
Other Punctuation 1164
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1729
18.6%
1 1725
18.5%
0 1295
13.9%
5 993
10.7%
7 957
10.3%
6 801
8.6%
4 591
 
6.3%
3 581
 
6.2%
9 335
 
3.6%
8 305
 
3.3%
Space Separator
ValueCountFrequency (%)
2328
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1164
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12804
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2328
18.2%
2 1729
13.5%
1 1725
13.5%
0 1295
10.1%
. 1164
9.1%
5 993
7.8%
7 957
7.5%
6 801
 
6.3%
4 591
 
4.6%
3 581
 
4.5%
Other values (2) 640
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12804
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2328
18.2%
2 1729
13.5%
1 1725
13.5%
0 1295
10.1%
. 1164
9.1%
5 993
7.8%
7 957
7.5%
6 801
 
6.3%
4 591
 
4.6%
3 581
 
4.5%
Other values (2) 640
 
5.0%

방생위도(TM방생위도)
Text

MISSING 

Distinct298
Distinct (%)64.6%
Missing703
Missing (%)60.4%
Memory size9.2 KiB
2024-01-10T06:03:16.967413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters4610
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

Unique230 ?
Unique (%)49.9%

Sample

1st row36 39 36.8
2nd row36 39 36.6
3rd row36 39 36.4
4th row36 39 36.9
5th row36 39 36.6
ValueCountFrequency (%)
36 472
34.1%
40 79
 
5.7%
39 60
 
4.3%
41 34
 
2.5%
45 30
 
2.2%
44 27
 
2.0%
50 22
 
1.6%
46 20
 
1.4%
47 20
 
1.4%
42 19
 
1.4%
Other values (262) 600
43.4%
2024-01-10T06:03:17.701632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
922
20.0%
3 796
17.3%
6 624
13.5%
. 461
10.0%
4 436
9.5%
0 258
 
5.6%
5 253
 
5.5%
1 243
 
5.3%
2 190
 
4.1%
9 167
 
3.6%
Other values (2) 260
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3227
70.0%
Space Separator 922
 
20.0%
Other Punctuation 461
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 796
24.7%
6 624
19.3%
4 436
13.5%
0 258
 
8.0%
5 253
 
7.8%
1 243
 
7.5%
2 190
 
5.9%
9 167
 
5.2%
7 146
 
4.5%
8 114
 
3.5%
Space Separator
ValueCountFrequency (%)
922
100.0%
Other Punctuation
ValueCountFrequency (%)
. 461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4610
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
922
20.0%
3 796
17.3%
6 624
13.5%
. 461
10.0%
4 436
9.5%
0 258
 
5.6%
5 253
 
5.5%
1 243
 
5.3%
2 190
 
4.1%
9 167
 
3.6%
Other values (2) 260
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4610
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
922
20.0%
3 796
17.3%
6 624
13.5%
. 461
10.0%
4 436
9.5%
0 258
 
5.6%
5 253
 
5.5%
1 243
 
5.3%
2 190
 
4.1%
9 167
 
3.6%
Other values (2) 260
 
5.6%

방생경도(TM방생경도)
Text

MISSING 

Distinct301
Distinct (%)65.3%
Missing703
Missing (%)60.4%
Memory size9.2 KiB
2024-01-10T06:03:18.074549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters5071
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

Unique237 ?
Unique (%)51.4%

Sample

1st row126 48 43.6
2nd row126 48 43.3
3rd row126 48 44.5
4th row126 48 43.1
5th row126 48 45.0
ValueCountFrequency (%)
126 343
24.8%
127 116
 
8.4%
51 73
 
5.3%
48 55
 
4.0%
57 29
 
2.1%
01 26
 
1.9%
49 26
 
1.9%
50 21
 
1.5%
03 21
 
1.5%
59 20
 
1.4%
Other values (272) 653
47.2%
2024-01-10T06:03:18.525632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
922
18.2%
2 699
13.8%
1 691
13.6%
6 480
9.5%
. 461
9.1%
5 404
8.0%
4 361
 
7.1%
0 321
 
6.3%
7 240
 
4.7%
3 182
 
3.6%
Other values (2) 310
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3688
72.7%
Space Separator 922
 
18.2%
Other Punctuation 461
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 699
19.0%
1 691
18.7%
6 480
13.0%
5 404
11.0%
4 361
9.8%
0 321
8.7%
7 240
 
6.5%
3 182
 
4.9%
8 157
 
4.3%
9 153
 
4.1%
Space Separator
ValueCountFrequency (%)
922
100.0%
Other Punctuation
ValueCountFrequency (%)
. 461
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5071
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
922
18.2%
2 699
13.8%
1 691
13.6%
6 480
9.5%
. 461
9.1%
5 404
8.0%
4 361
 
7.1%
0 321
 
6.3%
7 240
 
4.7%
3 182
 
3.6%
Other values (2) 310
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5071
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
922
18.2%
2 699
13.8%
1 691
13.6%
6 480
9.5%
. 461
9.1%
5 404
8.0%
4 361
 
7.1%
0 321
 
6.3%
7 240
 
4.7%
3 182
 
3.6%
Other values (2) 310
 
6.1%

등록체중
Real number (ℝ)

ZEROS 

Distinct536
Distinct (%)46.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3358.5017
Minimum0
Maximum27300
Zeros219
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:18.663983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median163
Q33330
95-th percentile16060
Maximum27300
Range27300
Interquartile range (IQR)3316

Descriptive statistics

Standard deviation5795.1619
Coefficient of variation (CV)1.72552
Kurtosis1.1655019
Mean3358.5017
Median Absolute Deviation (MAD)163
Skewness1.6154759
Sum3909296
Variance33583902
MonotonicityNot monotonic
2024-01-10T06:03:18.784454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 219
 
18.8%
26 19
 
1.6%
22 17
 
1.5%
10 14
 
1.2%
11 13
 
1.1%
34 12
 
1.0%
27 12
 
1.0%
16 12
 
1.0%
42 12
 
1.0%
162 11
 
0.9%
Other values (526) 823
70.7%
ValueCountFrequency (%)
0 219
18.8%
3 1
 
0.1%
4 1
 
0.1%
6 9
 
0.8%
7 4
 
0.3%
8 3
 
0.3%
9 6
 
0.5%
10 14
 
1.2%
11 13
 
1.1%
12 7
 
0.6%
ValueCountFrequency (%)
27300 1
0.1%
24680 1
0.1%
24200 1
0.1%
21900 1
0.1%
21300 1
0.1%
20960 1
0.1%
20720 1
0.1%
20120 1
0.1%
19980 1
0.1%
19900 1
0.1%

현재체중
Real number (ℝ)

ZEROS 

Distinct552
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3367.2672
Minimum0
Maximum27300
Zeros225
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size10.4 KiB
2024-01-10T06:03:18.900061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median206
Q33535
95-th percentile15960
Maximum27300
Range27300
Interquartile range (IQR)3521

Descriptive statistics

Standard deviation5679.3069
Coefficient of variation (CV)1.686622
Kurtosis1.1961509
Mean3367.2672
Median Absolute Deviation (MAD)206
Skewness1.6154008
Sum3919499
Variance32254527
MonotonicityNot monotonic
2024-01-10T06:03:19.020578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 225
 
19.3%
22 19
 
1.6%
13 17
 
1.5%
150 14
 
1.2%
14 12
 
1.0%
15 12
 
1.0%
458 11
 
0.9%
550 9
 
0.8%
11 8
 
0.7%
16 8
 
0.7%
Other values (542) 829
71.2%
ValueCountFrequency (%)
0 225
19.3%
4 1
 
0.1%
5 2
 
0.2%
6 3
 
0.3%
7 6
 
0.5%
8 4
 
0.3%
9 5
 
0.4%
10 8
 
0.7%
11 8
 
0.7%
12 6
 
0.5%
ValueCountFrequency (%)
27300 1
0.1%
24680 1
0.1%
21900 1
0.1%
21300 1
0.1%
20960 1
0.1%
20720 1
0.1%
20120 1
0.1%
19980 1
0.1%
19900 1
0.1%
19880 1
0.1%

임상적최종진단
Text

Distinct718
Distinct (%)62.1%
Missing8
Missing (%)0.7%
Memory size9.2 KiB
2024-01-10T06:03:19.305340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length13.131488
Min length2

Characters and Unicode

Total characters15180
Distinct characters378
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

Unique641 ?
Unique (%)55.4%

Sample

1st row좌측 날개 상완골 이하 절단 소실
2nd row인공구조물 고립에 의한 미아
3rd row인공구조물 고립에 의한 미아
4th row인공구조물 고립에 의한 미아
5th row인공구조물 고립에 의한 미아
ValueCountFrequency (%)
의한 294
 
6.7%
미아 238
 
5.4%
및 192
 
4.4%
충돌에 161
 
3.7%
골절 153
 
3.5%
좌측 118
 
2.7%
단순 106
 
2.4%
개체 94
 
2.1%
우측 92
 
2.1%
뇌진탕 76
 
1.7%
Other values (791) 2870
65.3%
2024-01-10T06:03:19.765282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3253
 
21.4%
골 488
 
3.2%
한 416
 
2.7%
에 351
 
2.3%
절 347
 
2.3%
의 345
 
2.3%
충 307
 
2.0%
아 287
 
1.9%
상 280
 
1.8%
미 271
 
1.8%
Other values (368) 8835
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10837
71.4%
Space Separator 3253
 
21.4%
Lowercase Letter 465
 
3.1%
Other Punctuation 193
 
1.3%
Uppercase Letter 126
 
0.8%
Close Punctuation 99
 
0.7%
Open Punctuation 99
 
0.7%
Decimal Number 96
 
0.6%
Math Symbol 7
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
골 488
 
4.5%
한 416
 
3.8%
에 351
 
3.2%
절 347
 
3.2%
의 345
 
3.2%
충 307
 
2.8%
아 287
 
2.6%
상 280
 
2.6%
미 271
 
2.5%
측 264
 
2.4%
Other values (319) 7481
69.0%
Lowercase Letter
ValueCountFrequency (%)
a 58
12.5%
o 41
 
8.8%
t 40
 
8.6%
n 36
 
7.7%
r 36
 
7.7%
i 35
 
7.5%
e 34
 
7.3%
l 26
 
5.6%
u 20
 
4.3%
s 19
 
4.1%
Other values (14) 120
25.8%
Uppercase Letter
ValueCountFrequency (%)
L 66
52.4%
C 15
 
11.9%
H 14
 
11.1%
B 14
 
11.1%
R 7
 
5.6%
T 5
 
4.0%
S 3
 
2.4%
D 1
 
0.8%
V 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
6 23
24.0%
2 23
24.0%
3 17
17.7%
5 15
15.6%
4 9
 
9.4%
1 8
 
8.3%
7 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 121
62.7%
/ 51
26.4%
. 16
 
8.3%
? 5
 
2.6%
Space Separator
ValueCountFrequency (%)
3253
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10837
71.4%
Common 3752
 
24.7%
Latin 591
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
골 488
 
4.5%
한 416
 
3.8%
에 351
 
3.2%
절 347
 
3.2%
의 345
 
3.2%
충 307
 
2.8%
아 287
 
2.6%
상 280
 
2.6%
미 271
 
2.5%
측 264
 
2.4%
Other values (319) 7481
69.0%
Latin
ValueCountFrequency (%)
L 66
 
11.2%
a 58
 
9.8%
o 41
 
6.9%
t 40
 
6.8%
n 36
 
6.1%
r 36
 
6.1%
i 35
 
5.9%
e 34
 
5.8%
l 26
 
4.4%
u 20
 
3.4%
Other values (23) 199
33.7%
Common
ValueCountFrequency (%)
3253
86.7%
, 121
 
3.2%
) 99
 
2.6%
( 99
 
2.6%
/ 51
 
1.4%
6 23
 
0.6%
2 23
 
0.6%
3 17
 
0.5%
. 16
 
0.4%
5 15
 
0.4%
Other values (6) 35
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10837
71.4%
ASCII 4343
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3253
74.9%
, 121
 
2.8%
) 99
 
2.3%
( 99
 
2.3%
L 66
 
1.5%
a 58
 
1.3%
/ 51
 
1.2%
o 41
 
0.9%
t 40
 
0.9%
n 36
 
0.8%
Other values (39) 479
 
11.0%
Hangul
ValueCountFrequency (%)
골 488
 
4.5%
한 416
 
3.8%
에 351
 
3.2%
절 347
 
3.2%
의 345
 
3.2%
충 307
 
2.8%
아 287
 
2.6%
상 280
 
2.6%
미 271
 
2.5%
측 264
 
2.4%
Other values (319) 7481
69.0%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
02019-1706쇠기러기조강(Aves)기러기목오리과해당없음해당없음해당없음2019-12-092019-12-092019-12-092019-12-09안락사<NA>기타UnknownAdult36.794639126.88055613<NA><NA>송전탑 아래충청남도 아산시 선장면 신동리 97-5전선전선/건물과의 충돌전선 충36 47 40.7126 52 50.0<NA><NA>20502050좌측 날개 상완골 이하 절단 소실
12019-0578원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.8126 48 43.642458인공구조물 고립에 의한 미아
22019-0579원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.6126 48 43.342458인공구조물 고립에 의한 미아
32019-0580원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.4126 48 44.542458인공구조물 고립에 의한 미아
42019-0581원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.9126 48 43.142458인공구조물 고립에 의한 미아
52019-0582원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.6126 48 45.042458인공구조물 고립에 의한 미아
62019-0583원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.6126 48 45.042458인공구조물 고립에 의한 미아
72019-0584원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.6126 48 45.042458인공구조물 고립에 의한 미아
82019-0585원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.6126 48 45.042458인공구조물 고립에 의한 미아
92019-0586원앙조강(Aves)기러기목오리과327해당없음해당없음<NA><NA>2019-05-282019-07-22방생충청남도 예산군 대흥면 손지리 577<NA>UnknownNestling36.826056126.9678615836.66023126.812534(아산로 645-50) 레미콘 사업장 부근충청남도 아산시 염치읍 염성리 132건물옆어미를 잃음(미아)어미를 잃음 (주변 환경에 의해 어미를 따라가지 못함)36 49 33.8126 58 04.336 39 36.6126 48 45.042458인공구조물 고립에 의한 미아
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약발견일시접수일시구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항구조위도(TM구조위도)구조경도(TM구조경도)방생위도(TM방생위도)방생경도(TM방생경도)등록체중현재체중임상적최종진단
11542021-1951너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-252021-11-25폐사체<NA>기타Unknown0년0월0일36.81225126.9865289<NA><NA><NA>충청남도 아산시 염치읍 곡교리 436-1도로변차량과의 충돌차량과의 충돌36 48 44.1126 59 11.5<NA><NA>00차량 충돌에 의한 폐사
11552021-1961너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-11-262021-11-27DOA<NA>기타Unknown0년0월0일36.798417126.98213912<NA><NA>공장 옆충청남도 아산시 실옥동 287-8건물옆기생충 중감염기생충 중감염/ 개선충 감염36 47 54.3126 58 55.7<NA><NA>48804880개선충 중감염 및 하악 골절
11562021-1995너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-032022-02-22방생충청남도 서산시 부석면 마룡리 523-16<NA>Female0년0월0일36.826806126.87825236.638755126.391016농경지, 하천 경계 풀숲충청남도 아산시 선장면 채신언리 19-508농경지기생충 중감염기생충 중감염/개선충36 49 36.5126 52 41.736 38 15.7126 23 20.952806360개선충 중감염 및 견교상
11572021-2066너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음<NA><NA>2021-12-242022-01-02폐사<NA>기타Female0년0월0일36.714778126.949583110<NA><NA>가정집 앞충청남도 아산시 송악면 강장리 418-1건물옆기생충 중감염기생충 중감염/개선충36 42 53.2126 56 58.5<NA><NA>31203220개선충 중감염
11582021-1542삵포유강(Mammalia)식육목고양이과해당없음2 급부속서 2종<NA><NA>2021-08-182021-11-09기타<NA><NA>Unknown0년0월0일36.818528126.8989444<NA><NA>농수로충청남도 아산시 신창면 신곡리 247-70농경지농수로 고립농수로 고립36 49 06.7126 53 56.2<NA><NA>4541640농수로 고립에 의한 약한 탈진 추정되는 미아
11592021-0172족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-02-102021-02-13폐사<NA>기타Male0년0월0일36.795861126.89916731<NA><NA>농가 창고 앞충청남도 아산시 신창면 가내리 78-11건물옆알 수 없는 사고알 수 없는 사고/36 47 45.1126 53 57.0<NA><NA>922922원인불명
11602021-0576족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음<NA><NA>2021-05-102021-05-10DOA<NA>기타Male1년0월0일36.904889127.075535<NA><NA>조아테크 부근 풀섶에서 발견충청남도 아산시 둔포면 염작리 89-8건물옆개, 고양이 공격개, 고양이 공격36 54 17.6127 04 31.8<NA><NA>296296교상에 의한 척추손상
11612021-0093작은땃쥐포유강(Mammalia)식충목땃쥐과해당없음해당없음해당없음<NA><NA>2021-01-192021-01-19방생충청남도 예산군 예산읍 대회리 산 45<NA>Unknown0년0월0일36.786083127.0324441536.671366126.863141주소지 마당 앞충청남도 아산시 신동 654-2도로변자연적 사고자연적 사고/ 동면 중 발견36 47 09.9127 01 56.836 40 16.7126 51 46.644동면 중 발견된 개체
11622021-0402다람쥐포유강(Mammalia)쥐목청서과해당없음해당없음해당없음<NA><NA>2021-04-182021-05-20방생충청남도 예산군 예산읍 향천리 54<NA>Unknown0년0월0일36.716278127.04730617336.690094126.862688도로 중앙충청남도 아산시 배방읍 수철리 506도로변어미를 잃음(미아)어미를 잃음(미아)36 42 58.6127 02 50.336 41 24.0126 51 46.12545기아, 탈진, 미아
11632021-1685청설모포유강(Mammalia)쥐목청서과해당없음해당없음해당없음<NA><NA>2021-09-242021-09-25DOA<NA>기타Male0년0월0일36.786639127.11177839<NA><NA>천안아산역 리슈빌 아파트 1106동 앞 정원충청남도 아산시 배방읍 장재리 1844건물옆기아 및 탈진기아 및 탈진36 47 11.9127 06 42.4<NA><NA>202202기아 탈진