Overview

Dataset statistics

Number of variables32
Number of observations1491
Missing cells6767
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory377.2 KiB
Average record size in memory259.1 B

Variable types

Text15
Categorical12
DateTime2
Numeric3

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

천연기념물 has constant value ""Constant
멸종위기등급 has constant value ""Constant
야생동물보호협약 has constant value ""Constant
이첩 방생 위치 has 1009 (67.7%) missing valuesMissing
방생위도 has 1153 (77.3%) missing valuesMissing
방생경도 has 1153 (77.3%) missing valuesMissing
발견장소상세 has 129 (8.7%) missing valuesMissing
TM구조위도 has 519 (34.8%) missing valuesMissing
TM구조경도 has 519 (34.8%) missing valuesMissing
TM방생위도 has 1136 (76.2%) missing valuesMissing
TM방생경도 has 1136 (76.2%) missing valuesMissing
접수번호 has unique valuesUnique
구조고도 has 46 (3.1%) zerosZeros

Reproduction

Analysis started2024-01-09 21:02:46.885197
Analysis finished2024-01-09 21:02:48.021211
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Text

UNIQUE 

Distinct1491
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:02:48.294803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters13419
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

Unique1491 ?
Unique (%)100.0%

Sample

1st row2019-1706
2nd row2019-0640
3rd row2019-0641
4th row2019-0642
5th row2019-0643
ValueCountFrequency (%)
2019-1706 1
 
0.1%
2022-0037 1
 
0.1%
2022-0047 1
 
0.1%
2022-0046 1
 
0.1%
2022-0045 1
 
0.1%
2022-0044 1
 
0.1%
2022-0043 1
 
0.1%
2022-0042 1
 
0.1%
2022-0041 1
 
0.1%
2022-0040 1
 
0.1%
Other values (1481) 1481
99.3%
2024-01-10T06:02:48.779636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 3804
28.3%
0 3000
22.4%
1 1745
13.0%
- 1491
 
11.1%
9 674
 
5.0%
6 489
 
3.6%
7 474
 
3.5%
4 463
 
3.5%
3 442
 
3.3%
8 435
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11928
88.9%
Dash Punctuation 1491
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3804
31.9%
0 3000
25.2%
1 1745
14.6%
9 674
 
5.7%
6 489
 
4.1%
7 474
 
4.0%
4 463
 
3.9%
3 442
 
3.7%
8 435
 
3.6%
5 402
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1491
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13419
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 3804
28.3%
0 3000
22.4%
1 1745
13.0%
- 1491
 
11.1%
9 674
 
5.0%
6 489
 
3.6%
7 474
 
3.5%
4 463
 
3.5%
3 442
 
3.3%
8 435
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13419
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 3804
28.3%
0 3000
22.4%
1 1745
13.0%
- 1491
 
11.1%
9 674
 
5.0%
6 489
 
3.6%
7 474
 
3.5%
4 463
 
3.5%
3 442
 
3.3%
8 435
 
3.2%

동물국문명
Text

Distinct74
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:02:48.959467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.5171026
Min length1

Characters and Unicode

Total characters5244
Distinct characters124
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

Unique24 ?
Unique (%)1.6%

Sample

1st row쇠기러기
2nd row흰뺨검둥오리
3rd row흰뺨검둥오리
4th row흰뺨검둥오리
5th row흰뺨검둥오리
ValueCountFrequency (%)
고라니 492
33.0%
멧비둘기 160
 
10.7%
흰뺨검둥오리 155
 
10.4%
너구리 121
 
8.1%
청둥오리 88
 
5.9%
까치 63
 
4.2%
참새 51
 
3.4%
집비둘기 49
 
3.3%
박새 35
 
2.3%
물까치 31
 
2.1%
Other values (64) 246
16.5%
2024-01-10T06:02:49.243097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
라 495
 
9.4%
고 493
 
9.4%
니 492
 
9.4%
리 424
 
8.1%
오 265
 
5.1%
기 259
 
4.9%
둥 249
 
4.7%
비 246
 
4.7%
둘 209
 
4.0%
멧 163
 
3.1%
Other values (114) 1949
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5235
99.8%
Other Symbol 7
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 495
 
9.5%
고 493
 
9.4%
니 492
 
9.4%
리 424
 
8.1%
오 265
 
5.1%
기 259
 
4.9%
둥 249
 
4.8%
비 246
 
4.7%
둘 209
 
4.0%
멧 163
 
3.1%
Other values (111) 1940
37.1%
Other Symbol
ValueCountFrequency (%)
㉵ 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5242
> 99.9%
Common 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 495
 
9.4%
고 493
 
9.4%
니 492
 
9.4%
리 424
 
8.1%
오 265
 
5.1%
기 259
 
4.9%
둥 249
 
4.8%
비 246
 
4.7%
둘 209
 
4.0%
멧 163
 
3.1%
Other values (112) 1947
37.1%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5235
99.8%
None 7
 
0.1%
ASCII 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
라 495
 
9.5%
고 493
 
9.4%
니 492
 
9.4%
리 424
 
8.1%
오 265
 
5.1%
기 259
 
4.9%
둥 249
 
4.8%
비 246
 
4.7%
둘 209
 
4.0%
멧 163
 
3.1%
Other values (111) 1940
37.1%
None
ValueCountFrequency (%)
㉵ 7
100.0%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

강
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
조강(Aves)
833 
포유강(Mammalia)
645 
파충강(Reptilia)
 
11
양서강(Amphibia)
 
2

Length

Max length13
Median length8
Mean length10.206573
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) 833
55.9%
포유강(Mammalia) 645
43.3%
파충강(Reptilia) 11
 
0.7%
양서강(Amphibia) 2
 
0.1%

Length

2024-01-10T06:02:49.375476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:49.496736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조강(aves 833
55.9%
포유강(mammalia 645
43.3%
파충강(reptilia 11
 
0.7%
양서강(amphibia 2
 
0.1%

목
Categorical

Distinct19
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
소목
492 
참새목
288 
기러기목
254 
비둘기목
209 
식육목
129 
Other values (14)
119 

Length

Max length5
Median length4
Mean length3.0100604
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
소목 492
33.0%
참새목 288
19.3%
기러기목 254
17.0%
비둘기목 209
14.0%
식육목 129
 
8.7%
황새목 31
 
2.1%
박쥐목 21
 
1.4%
딱다구리목 16
 
1.1%
파랑새목 16
 
1.1%
뱀목 8
 
0.5%
Other values (9) 27
 
1.8%

Length

2024-01-10T06:02:49.626236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
소목 492
33.0%
참새목 288
19.3%
기러기목 254
17.0%
비둘기목 209
14.0%
식육목 129
 
8.7%
황새목 31
 
2.1%
박쥐목 21
 
1.4%
딱다구리목 16
 
1.1%
파랑새목 16
 
1.1%
뱀목 8
 
0.5%
Other values (9) 27
 
1.8%

과
Categorical

Distinct41
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
사슴과
492 
오리과
254 
비둘기과
209 
개과
121 
까마귀과
96 
Other values (36)
319 

Length

Max length9
Median length3
Mean length3.2917505
Min length2

Unique

Unique5 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
사슴과 492
33.0%
오리과 254
17.0%
비둘기과 209
14.0%
개과 121
 
8.1%
까마귀과 96
 
6.4%
참새과 51
 
3.4%
박새과 39
 
2.6%
왜가리과 31
 
2.1%
제비과 25
 
1.7%
애기박쥐과 20
 
1.3%
Other values (31) 153
 
10.3%

Length

2024-01-10T06:02:49.767247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사슴과 492
33.0%
오리과 254
17.0%
비둘기과 209
14.0%
개과 121
 
8.1%
까마귀과 96
 
6.4%
참새과 51
 
3.4%
박새과 39
 
2.6%
왜가리과 31
 
2.1%
제비과 25
 
1.7%
애기박쥐과 20
 
1.3%
Other values (31) 153
 
10.3%

천연기념물
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
해당없음
1491 

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 1491
100.0%

Length

2024-01-10T06:02:49.895793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:50.001665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 1491
100.0%

멸종위기등급
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
해당없음
1491 

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 1491
100.0%

Length

2024-01-10T06:02:50.108186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:50.215920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 1491
100.0%

야생동물보호협약
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
해당없음
1491 

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 1491
100.0%

Length

2024-01-10T06:02:50.324107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:50.409374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
해당없음 1491
100.0%

구조일시
Date

Distinct716
Distinct (%)48.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2019-01-01 00:00:00
Maximum2022-12-30 00:00:00
2024-01-10T06:02:50.507406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:02:50.634752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과일자
Date

Distinct736
Distinct (%)49.4%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Minimum2019-01-01 00:00:00
Maximum2023-04-23 00:00:00
2024-01-10T06:02:50.754255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:02:50.883860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

구조결과
Categorical

Distinct8
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
방생
478 
폐사체
324 
안락사
293 
폐사
197 
DOA
191 
Other values (3)
 
8

Length

Max length3
Median length3
Mean length2.5419182
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
방생 478
32.1%
폐사체 324
21.7%
안락사 293
19.7%
폐사 197
13.2%
DOA 191
 
12.8%
이첩 4
 
0.3%
기타 2
 
0.1%
계류 2
 
0.1%

Length

2024-01-10T06:02:51.018231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:51.119026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
방생 478
32.1%
폐사체 324
21.7%
안락사 293
19.7%
폐사 197
13.2%
doa 191
 
12.8%
이첩 4
 
0.3%
기타 2
 
0.1%
계류 2
 
0.1%

이첩 방생 위치
Text

MISSING 

Distinct288
Distinct (%)59.8%
Missing1009
Missing (%)67.7%
Memory size11.8 KiB
2024-01-10T06:02:51.367821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.282158
Min length5

Characters and Unicode

Total characters9776
Distinct characters179
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

Unique214 ?
Unique (%)44.4%

Sample

1st row충청남도 예산군 대흥면 손지리 542
2nd row충청남도 예산군 대흥면 손지리 542
3rd row충청남도 예산군 대흥면 손지리 542
4th row충청남도 예산군 대흥면 손지리 542
5th row충청남도 예산군 대흥면 손지리 542
ValueCountFrequency (%)
충청남도 348
 
14.2%
예산군 228
 
9.3%
아산시 181
 
7.4%
충남 122
 
5.0%
산 93
 
3.8%
예산읍 81
 
3.3%
대흥면 58
 
2.4%
대회리 46
 
1.9%
1 35
 
1.4%
오가면 31
 
1.3%
Other values (467) 1232
50.2%
2024-01-10T06:02:51.745793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2011
20.6%
산 690
 
7.1%
남 490
 
5.0%
충 470
 
4.8%
리 423
 
4.3%
도 363
 
3.7%
청 350
 
3.6%
1 334
 
3.4%
면 320
 
3.3%
예 311
 
3.2%
Other values (169) 4014
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6036
61.7%
Space Separator 2011
 
20.6%
Decimal Number 1476
 
15.1%
Dash Punctuation 253
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 690
 
11.4%
남 490
 
8.1%
충 470
 
7.8%
리 423
 
7.0%
도 363
 
6.0%
청 350
 
5.8%
면 320
 
5.3%
예 311
 
5.2%
군 251
 
4.2%
시 235
 
3.9%
Other values (157) 2133
35.3%
Decimal Number
ValueCountFrequency (%)
1 334
22.6%
2 176
11.9%
5 170
11.5%
3 168
11.4%
6 144
9.8%
4 142
9.6%
0 102
 
6.9%
7 101
 
6.8%
8 79
 
5.4%
9 60
 
4.1%
Space Separator
ValueCountFrequency (%)
2011
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 253
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6036
61.7%
Common 3740
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 690
 
11.4%
남 490
 
8.1%
충 470
 
7.8%
리 423
 
7.0%
도 363
 
6.0%
청 350
 
5.8%
면 320
 
5.3%
예 311
 
5.2%
군 251
 
4.2%
시 235
 
3.9%
Other values (157) 2133
35.3%
Common
ValueCountFrequency (%)
2011
53.8%
1 334
 
8.9%
- 253
 
6.8%
2 176
 
4.7%
5 170
 
4.5%
3 168
 
4.5%
6 144
 
3.9%
4 142
 
3.8%
0 102
 
2.7%
7 101
 
2.7%
Other values (2) 139
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6036
61.7%
ASCII 3740
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2011
53.8%
1 334
 
8.9%
- 253
 
6.8%
2 176
 
4.7%
5 170
 
4.5%
3 168
 
4.5%
6 144
 
3.9%
4 142
 
3.8%
0 102
 
2.7%
7 101
 
2.7%
Other values (2) 139
 
3.7%
Hangul
ValueCountFrequency (%)
산 690
 
11.4%
남 490
 
8.1%
충 470
 
7.8%
리 423
 
7.0%
도 363
 
6.0%
청 350
 
5.8%
면 320
 
5.3%
예 311
 
5.2%
군 251
 
4.2%
시 235
 
3.9%
Other values (157) 2133
35.3%

사체처리
Categorical

Distinct9
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
기타
634 
<NA>
488 
폐기
164 
기타(협조)
86 
냉동(신냉동창고)(투입박스(일반))
80 
Other values (4)
 
39

Length

Max length24
Median length2
Mean length4.3353454
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 634
42.5%
<NA> 488
32.7%
폐기 164
 
11.0%
기타(협조) 86
 
5.8%
냉동(신냉동창고)(투입박스(일반)) 80
 
5.4%
냉동(구냉동창고)(성체고라니, 개선충너구리) 32
 
2.1%
냉동(표본제작실)(소형조류 1) 4
 
0.3%
냉동(신냉동창고)(선반) 2
 
0.1%
냉동(표본제작실)(중소형조류 2) 1
 
0.1%

Length

2024-01-10T06:02:51.869893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:51.976065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 634
41.5%
na 488
31.9%
폐기 164
 
10.7%
기타(협조 86
 
5.6%
냉동(신냉동창고)(투입박스(일반 80
 
5.2%
냉동(구냉동창고)(성체고라니 32
 
2.1%
개선충너구리 32
 
2.1%
냉동(표본제작실)(소형조류 4
 
0.3%
1 4
 
0.3%
냉동(신냉동창고)(선반 2
 
0.1%
Other values (2) 2
 
0.1%

동물성별
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
Unknown
1009 
Male
263 
Female
207 
Female()
 
7
Male()
 
5

Length

Max length8
Median length7
Mean length6.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
Unknown 1009
67.7%
Male 263
 
17.6%
Female 207
 
13.9%
Female() 7
 
0.5%
Male() 5
 
0.3%

Length

2024-01-10T06:02:52.109784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:52.215705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
unknown 1009
67.7%
male 268
 
18.0%
female 214
 
14.4%

동물연령
Categorical

Distinct46
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
0년0월0일
417 
Juvenile
268 
Nestling
230 
Adult
192 
Unknown
143 
Other values (41)
241 

Length

Max length8
Median length7
Mean length6.6633132
Min length5

Unique

Unique13 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
0년0월0일 417
28.0%
Juvenile 268
18.0%
Nestling 230
15.4%
Adult 192
12.9%
Unknown 143
 
9.6%
0년1월0일 31
 
2.1%
1년0월0일 24
 
1.6%
0년6월0일 21
 
1.4%
0년11월0일 18
 
1.2%
0년10월0일 14
 
0.9%
Other values (36) 133
 
8.9%

Length

2024-01-10T06:02:52.328001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
0년0월0일 417
28.0%
juvenile 268
18.0%
nestling 230
15.4%
adult 192
12.9%
unknown 143
 
9.6%
0년1월0일 31
 
2.1%
1년0월0일 24
 
1.6%
0년6월0일 21
 
1.4%
0년11월0일 18
 
1.2%
0년10월0일 14
 
0.9%
Other values (36) 133
 
8.9%

구조위도
Text

Distinct1045
Distinct (%)70.1%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:02:52.537692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length8.8490946
Min length5

Characters and Unicode

Total characters13194
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

Unique878 ?
Unique (%)58.9%

Sample

1st row36.794639
2nd row36.738167
3rd row36.738167
4th row36.738167
5th row36.738167
ValueCountFrequency (%)
36.53.050 86
 
5.8%
36.841417 18
 
1.2%
36.738167 13
 
0.9%
36.46.186 11
 
0.7%
36.47.476 10
 
0.7%
36.843833 9
 
0.6%
36.47.477 9
 
0.6%
36.798194 8
 
0.5%
36.7905 8
 
0.5%
36.47.085 8
 
0.5%
Other values (1035) 1311
87.9%
2024-01-10T06:02:52.910249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 2188
16.6%
6 2184
16.6%
. 2010
15.2%
7 1321
10.0%
4 1083
8.2%
8 1000
7.6%
5 889
6.7%
1 642
 
4.9%
0 634
 
4.8%
2 631
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11184
84.8%
Other Punctuation 2010
 
15.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2188
19.6%
6 2184
19.5%
7 1321
11.8%
4 1083
9.7%
8 1000
8.9%
5 889
7.9%
1 642
 
5.7%
0 634
 
5.7%
2 631
 
5.6%
9 612
 
5.5%
Other Punctuation
ValueCountFrequency (%)
. 2010
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13194
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 2188
16.6%
6 2184
16.6%
. 2010
15.2%
7 1321
10.0%
4 1083
8.2%
8 1000
7.6%
5 889
6.7%
1 642
 
4.9%
0 634
 
4.8%
2 631
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13194
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 2188
16.6%
6 2184
16.6%
. 2010
15.2%
7 1321
10.0%
4 1083
8.2%
8 1000
7.6%
5 889
6.7%
1 642
 
4.9%
0 634
 
4.8%
2 631
 
4.8%

구조경도
Text

Distinct1074
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:02:53.204328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.878605
Min length6

Characters and Unicode

Total characters14729
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

Unique925 ?
Unique (%)62.0%

Sample

1st row126.880556
2nd row126.860278
3rd row126.860278
4th row126.860278
5th row126.860278
ValueCountFrequency (%)
126.53.073 86
 
5.8%
127.073444 19
 
1.3%
126.860278 13
 
0.9%
127.03.349 11
 
0.7%
127.06.208 10
 
0.7%
127.06.198 9
 
0.6%
127.099139 9
 
0.6%
127.05.477 8
 
0.5%
127.093278 8
 
0.5%
126.860472 7
 
0.5%
Other values (1064) 1311
87.9%
2024-01-10T06:02:53.613572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 2241
15.2%
2 2121
14.4%
. 2010
13.6%
7 1566
10.6%
0 1463
9.9%
6 1265
8.6%
5 903
6.1%
3 886
 
6.0%
9 868
 
5.9%
8 738
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12719
86.4%
Other Punctuation 2010
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 2241
17.6%
2 2121
16.7%
7 1566
12.3%
0 1463
11.5%
6 1265
9.9%
5 903
7.1%
3 886
 
7.0%
9 868
 
6.8%
8 738
 
5.8%
4 668
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 2010
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14729
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 2241
15.2%
2 2121
14.4%
. 2010
13.6%
7 1566
10.6%
0 1463
9.9%
6 1265
8.6%
5 903
6.1%
3 886
 
6.0%
9 868
 
5.9%
8 738
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14729
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 2241
15.2%
2 2121
14.4%
. 2010
13.6%
7 1566
10.6%
0 1463
9.9%
6 1265
8.6%
5 903
6.1%
3 886
 
6.0%
9 868
 
5.9%
8 738
 
5.0%

구조고도
Real number (ℝ)

ZEROS 

Distinct140
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.847753
Minimum0
Maximum311
Zeros46
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-01-10T06:02:53.753231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q118
median30
Q347
95-th percentile95
Maximum311
Range311
Interquartile range (IQR)29

Descriptive statistics

Standard deviation32.188293
Coefficient of variation (CV)0.87354832
Kurtosis13.642091
Mean36.847753
Median Absolute Deviation (MAD)14
Skewness2.784247
Sum54940
Variance1036.0862
MonotonicityNot monotonic
2024-01-10T06:02:53.879416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 110
 
7.4%
20 54
 
3.6%
0 46
 
3.1%
18 41
 
2.7%
32 36
 
2.4%
27 36
 
2.4%
17 34
 
2.3%
26 33
 
2.2%
23 32
 
2.1%
19 32
 
2.1%
Other values (130) 1037
69.6%
ValueCountFrequency (%)
0 46
3.1%
1 3
 
0.2%
2 4
 
0.3%
3 2
 
0.1%
4 8
 
0.5%
5 9
 
0.6%
6 110
7.4%
7 5
 
0.3%
8 13
 
0.9%
9 14
 
0.9%
ValueCountFrequency (%)
311 1
 
0.1%
286 1
 
0.1%
272 1
 
0.1%
252 3
0.2%
219 1
 
0.1%
184 2
0.1%
179 1
 
0.1%
173 1
 
0.1%
170 1
 
0.1%
167 1
 
0.1%

방생위도
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)55.6%
Missing1153
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean36.704768
Minimum36.064226
Maximum36.929725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-01-10T06:02:54.288418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.064226
5-th percentile36.532699
Q136.665884
median36.691844
Q336.768304
95-th percentile36.876751
Maximum36.929725
Range0.86549851
Interquartile range (IQR)0.10242043

Descriptive statistics

Standard deviation0.11966143
Coefficient of variation (CV)0.0032601058
Kurtosis7.3384005
Mean36.704768
Median Absolute Deviation (MAD)0.045390215
Skewness-1.797599
Sum12406.211
Variance0.014318857
MonotonicityNot monotonic
2024-01-10T06:02:54.416424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.67008139 24
 
1.6%
36.65922437 12
 
0.8%
36.84984967 11
 
0.7%
36.67682848 9
 
0.6%
36.61547653 9
 
0.6%
36.66606467 6
 
0.4%
36.87675129 6
 
0.4%
36.65132038 5
 
0.3%
36.79044748 5
 
0.3%
36.92972469 5
 
0.3%
Other values (178) 246
 
16.5%
(Missing) 1153
77.3%
ValueCountFrequency (%)
36.06422618 1
 
0.1%
36.1107018 1
 
0.1%
36.16799571 3
0.2%
36.25859263 1
 
0.1%
36.36345959 2
0.1%
36.39479744 1
 
0.1%
36.40500963 1
 
0.1%
36.41103947 1
 
0.1%
36.42413932 1
 
0.1%
36.46093524 2
0.1%
ValueCountFrequency (%)
36.92972469 5
0.3%
36.92714245 1
 
0.1%
36.92273865 2
 
0.1%
36.91969898 3
0.2%
36.89394132 1
 
0.1%
36.87675129 6
0.4%
36.86811845 1
 
0.1%
36.86383433 1
 
0.1%
36.85851553 1
 
0.1%
36.85264036 2
 
0.1%

방생경도
Real number (ℝ)

MISSING 

Distinct188
Distinct (%)55.6%
Missing1153
Missing (%)77.3%
Infinite0
Infinite (%)0.0%
Mean126.90767
Minimum126.3656
Maximum127.49897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.2 KiB
2024-01-10T06:02:54.547033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.3656
5-th percentile126.61267
Q1126.82347
median126.88124
Q3127.01989
95-th percentile127.09707
Maximum127.49897
Range1.1333765
Interquartile range (IQR)0.19641592

Descriptive statistics

Standard deviation0.16181157
Coefficient of variation (CV)0.0012750338
Kurtosis3.1079736
Mean126.90767
Median Absolute Deviation (MAD)0.06946375
Skewness-0.51982726
Sum42894.792
Variance0.026182983
MonotonicityNot monotonic
2024-01-10T06:02:54.677262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8596661 24
 
1.6%
126.8117789 12
 
0.8%
127.0779084 11
 
0.7%
126.8234697 9
 
0.6%
126.8451227 9
 
0.6%
126.8663143 6
 
0.4%
126.8698903 6
 
0.4%
126.8115113 5
 
0.3%
127.0827948 5
 
0.3%
127.0388708 5
 
0.3%
Other values (178) 246
 
16.5%
(Missing) 1153
77.3%
ValueCountFrequency (%)
126.3655969 1
 
0.1%
126.379893 3
0.2%
126.383956 1
 
0.1%
126.3907112 1
 
0.1%
126.391016 2
0.1%
126.4109667 1
 
0.1%
126.4335169 1
 
0.1%
126.4355645 1
 
0.1%
126.4769389 1
 
0.1%
126.5181604 1
 
0.1%
ValueCountFrequency (%)
127.4989734 1
 
0.1%
127.4371773 3
0.2%
127.2911055 1
 
0.1%
127.2595397 2
0.1%
127.2470079 1
 
0.1%
127.196901 1
 
0.1%
127.1872935 1
 
0.1%
127.1371317 1
 
0.1%
127.1236982 1
 
0.1%
127.1200009 1
 
0.1%

발견장소상세
Text

MISSING 

Distinct813
Distinct (%)59.7%
Missing129
Missing (%)8.7%
Memory size11.8 KiB
2024-01-10T06:02:54.980008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length9.2782673
Min length1

Characters and Unicode

Total characters12637
Distinct characters444
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

Unique702 ?
Unique (%)51.5%

Sample

1st row송전탑 아래
2nd row(벚꽃로708번길 3) 건물 앞 마당
3rd row(벚꽃로708번길 3) 건물 앞 마당
4th row(벚꽃로708번길 3) 건물 앞 마당
5th row(벚꽃로708번길 3) 건물 앞 마당
ValueCountFrequency (%)
도로변 166
 
4.6%
주소지 159
 
4.4%
앞 136
 
3.8%
농경지 130
 
3.6%
건물 126
 
3.5%
옆 119
 
3.3%
주변 109
 
3.0%
부근 107
 
3.0%
아파트 104
 
2.9%
내 90
 
2.5%
Other values (905) 2358
65.4%
2024-01-10T06:02:55.444019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2291
 
18.1%
로 466
 
3.7%
지 451
 
3.6%
주 371
 
2.9%
도 349
 
2.8%
변 288
 
2.3%
아 287
 
2.3%
트 218
 
1.7%
소 199
 
1.6%
파 195
 
1.5%
Other values (434) 7522
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9468
74.9%
Space Separator 2291
 
18.1%
Decimal Number 669
 
5.3%
Close Punctuation 70
 
0.6%
Open Punctuation 70
 
0.6%
Dash Punctuation 29
 
0.2%
Uppercase Letter 17
 
0.1%
Other Punctuation 13
 
0.1%
Lowercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 466
 
4.9%
지 451
 
4.8%
주 371
 
3.9%
도 349
 
3.7%
변 288
 
3.0%
아 287
 
3.0%
트 218
 
2.3%
소 199
 
2.1%
파 195
 
2.1%
물 191
 
2.0%
Other values (398) 6453
68.2%
Uppercase Letter
ValueCountFrequency (%)
K 3
17.6%
B 2
11.8%
S 2
11.8%
G 2
11.8%
C 2
11.8%
W 1
 
5.9%
P 1
 
5.9%
I 1
 
5.9%
A 1
 
5.9%
M 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 167
25.0%
0 110
16.4%
3 94
14.1%
2 85
12.7%
5 47
 
7.0%
7 42
 
6.3%
4 41
 
6.1%
8 40
 
6.0%
6 28
 
4.2%
9 15
 
2.2%
Lowercase Letter
ValueCountFrequency (%)
e 2
20.0%
c 2
20.0%
u 1
10.0%
s 1
10.0%
g 1
10.0%
j 1
10.0%
a 1
10.0%
i 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 10
76.9%
' 2
 
15.4%
. 1
 
7.7%
Space Separator
ValueCountFrequency (%)
2291
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9468
74.9%
Common 3142
 
24.9%
Latin 27
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 466
 
4.9%
지 451
 
4.8%
주 371
 
3.9%
도 349
 
3.7%
변 288
 
3.0%
아 287
 
3.0%
트 218
 
2.3%
소 199
 
2.1%
파 195
 
2.1%
물 191
 
2.0%
Other values (398) 6453
68.2%
Latin
ValueCountFrequency (%)
K 3
 
11.1%
B 2
 
7.4%
S 2
 
7.4%
e 2
 
7.4%
G 2
 
7.4%
c 2
 
7.4%
C 2
 
7.4%
u 1
 
3.7%
W 1
 
3.7%
P 1
 
3.7%
Other values (9) 9
33.3%
Common
ValueCountFrequency (%)
2291
72.9%
1 167
 
5.3%
0 110
 
3.5%
3 94
 
3.0%
2 85
 
2.7%
) 70
 
2.2%
( 70
 
2.2%
5 47
 
1.5%
7 42
 
1.3%
4 41
 
1.3%
Other values (7) 125
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9468
74.9%
ASCII 3169
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2291
72.3%
1 167
 
5.3%
0 110
 
3.5%
3 94
 
3.0%
2 85
 
2.7%
) 70
 
2.2%
( 70
 
2.2%
5 47
 
1.5%
7 42
 
1.3%
4 41
 
1.3%
Other values (26) 152
 
4.8%
Hangul
ValueCountFrequency (%)
로 466
 
4.9%
지 451
 
4.8%
주 371
 
3.9%
도 349
 
3.7%
변 288
 
3.0%
아 287
 
3.0%
트 218
 
2.3%
소 199
 
2.1%
파 195
 
2.1%
물 191
 
2.0%
Other values (398) 6453
68.2%

발견주소
Text

Distinct1088
Distinct (%)73.0%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:02:55.731114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length19.77666
Min length9

Characters and Unicode

Total characters29487
Distinct characters184
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

Unique961 ?
Unique (%)64.5%

Sample

1st row충청남도 아산시 선장면 신동리 97-5
2nd row충청남도 아산시 도고면 효자리 174-5
3rd row충청남도 아산시 도고면 효자리 174-5
4th row충청남도 아산시 도고면 효자리 174-5
5th row충청남도 아산시 도고면 효자리 174-5
ValueCountFrequency (%)
아산시 1491
20.9%
충청남도 972
 
13.6%
충남 519
 
7.3%
배방읍 290
 
4.1%
인주면 152
 
2.1%
음봉면 136
 
1.9%
탕정면 113
 
1.6%
걸매리 103
 
1.4%
장재리 98
 
1.4%
신창면 88
 
1.2%
Other values (1220) 3181
44.5%
2024-01-10T06:02:56.129312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5715
19.4%
산 1675
 
5.7%
아 1519
 
5.2%
남 1519
 
5.2%
시 1501
 
5.1%
충 1494
 
5.1%
도 1049
 
3.6%
리 1022
 
3.5%
1 1010
 
3.4%
청 977
 
3.3%
Other values (174) 12006
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17598
59.7%
Space Separator 5715
 
19.4%
Decimal Number 5395
 
18.3%
Dash Punctuation 777
 
2.6%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1675
 
9.5%
아 1519
 
8.6%
남 1519
 
8.6%
시 1501
 
8.5%
충 1494
 
8.5%
도 1049
 
6.0%
리 1022
 
5.8%
청 977
 
5.6%
면 813
 
4.6%
읍 373
 
2.1%
Other values (160) 5656
32.1%
Decimal Number
ValueCountFrequency (%)
1 1010
18.7%
2 675
12.5%
7 626
11.6%
3 617
11.4%
4 511
9.5%
5 496
9.2%
6 421
7.8%
8 362
 
6.7%
0 359
 
6.7%
9 318
 
5.9%
Space Separator
ValueCountFrequency (%)
5715
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 777
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17598
59.7%
Common 11889
40.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1675
 
9.5%
아 1519
 
8.6%
남 1519
 
8.6%
시 1501
 
8.5%
충 1494
 
8.5%
도 1049
 
6.0%
리 1022
 
5.8%
청 977
 
5.6%
면 813
 
4.6%
읍 373
 
2.1%
Other values (160) 5656
32.1%
Common
ValueCountFrequency (%)
5715
48.1%
1 1010
 
8.5%
- 777
 
6.5%
2 675
 
5.7%
7 626
 
5.3%
3 617
 
5.2%
4 511
 
4.3%
5 496
 
4.2%
6 421
 
3.5%
8 362
 
3.0%
Other values (4) 679
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17598
59.7%
ASCII 11889
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5715
48.1%
1 1010
 
8.5%
- 777
 
6.5%
2 675
 
5.7%
7 626
 
5.3%
3 617
 
5.2%
4 511
 
4.3%
5 496
 
4.2%
6 421
 
3.5%
8 362
 
3.0%
Other values (4) 679
 
5.7%
Hangul
ValueCountFrequency (%)
산 1675
 
9.5%
아 1519
 
8.6%
남 1519
 
8.6%
시 1501
 
8.5%
충 1494
 
8.5%
도 1049
 
6.0%
리 1022
 
5.8%
청 977
 
5.6%
면 813
 
4.6%
읍 373
 
2.1%
Other values (160) 5656
32.1%

발견장소특징
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
건물옆
708 
도로변
411 
농경지
208 
기타
82 
숲
 
55
Other values (2)
 
27

Length

Max length5
Median length3
Mean length2.9014085
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
건물옆 708
47.5%
도로변 411
27.6%
농경지 208
 
14.0%
기타 82
 
5.5%
숲 55
 
3.7%
강, 바다 24
 
1.6%
전선 3
 
0.2%

Length

2024-01-10T06:02:56.355663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:02:56.497405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건물옆 708
46.7%
도로변 411
27.1%
농경지 208
 
13.7%
기타 82
 
5.4%
숲 55
 
3.6%
강 24
 
1.6%
바다 24
 
1.6%
전선 3
 
0.2%

발생원인
Categorical

Distinct23
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
어미를 잃음(미아)
338 
차량과의 충돌
324 
인공구조물 침입·고립
189 
전선/건물과의 충돌
171 
중독사고(농약)
93 
Other values (18)
376 

Length

Max length11
Median length10
Mean length8.602951
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) 338
22.7%
차량과의 충돌 324
21.7%
인공구조물 침입·고립 189
12.7%
전선/건물과의 충돌 171
11.5%
중독사고(농약) 93
 
6.2%
기생충 중감염 86
 
5.8%
인공구조물에 얽힘 59
 
4.0%
개, 고양이 공격 58
 
3.9%
바이러스 감염 39
 
2.6%
농수로 고립 33
 
2.2%
Other values (13) 101
 
6.8%

Length

2024-01-10T06:02:56.617398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충돌 495
16.8%
어미를 338
11.5%
잃음(미아 338
11.5%
차량과의 324
11.0%
인공구조물 189
 
6.4%
침입·고립 189
 
6.4%
전선/건물과의 171
 
5.8%
중독사고(농약 93
 
3.2%
기생충 86
 
2.9%
중감염 86
 
2.9%
Other values (29) 641
21.7%

발생원인 세부사항
Text

Distinct389
Distinct (%)26.1%
Missing3
Missing (%)0.2%
Memory size11.8 KiB
2024-01-10T06:02:56.902457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length40
Mean length10.188844
Min length2

Characters and Unicode

Total characters15161
Distinct characters314
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

Unique265 ?
Unique (%)17.8%

Sample

1st row전선 충
2nd row부화 후 이동하는 과정에서 어미를 잃음
3rd row부화 후 이동하는 과정에서 어미를 잃음
4th row부화 후 이동하는 과정에서 어미를 잃음
5th row부화 후 이동하는 과정에서 어미를 잃음
ValueCountFrequency (%)
충돌 411
 
10.8%
차량과의 249
 
6.5%
어미를 221
 
5.8%
고립 186
 
4.9%
잃음(미아 181
 
4.7%
인공구조물 165
 
4.3%
침입 119
 
3.1%
추정 114
 
3.0%
중독사고(농약 86
 
2.3%
기생충 68
 
1.8%
Other values (452) 2018
52.9%
2024-01-10T06:02:57.411021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2452
 
16.2%
충 664
 
4.4%
돌 516
 
3.4%
미 481
 
3.2%
고 441
 
2.9%
물 355
 
2.3%
차 339
 
2.2%
량 338
 
2.2%
공 313
 
2.1%
구 312
 
2.1%
Other values (304) 8950
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11697
77.2%
Space Separator 2452
 
16.2%
Other Punctuation 397
 
2.6%
Close Punctuation 289
 
1.9%
Open Punctuation 289
 
1.9%
Lowercase Letter 24
 
0.2%
Decimal Number 12
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
충 664
 
5.7%
돌 516
 
4.4%
미 481
 
4.1%
고 441
 
3.8%
물 355
 
3.0%
차 339
 
2.9%
량 338
 
2.9%
공 313
 
2.7%
구 312
 
2.7%
조 311
 
2.7%
Other values (279) 7627
65.2%
Lowercase Letter
ValueCountFrequency (%)
r 4
16.7%
p 3
12.5%
u 3
12.5%
i 2
8.3%
v 2
8.3%
a 2
8.3%
o 2
8.3%
n 1
 
4.2%
x 1
 
4.2%
s 1
 
4.2%
Other values (3) 3
12.5%
Other Punctuation
ValueCountFrequency (%)
/ 241
60.7%
, 127
32.0%
· 21
 
5.3%
. 4
 
1.0%
: 4
 
1.0%
Decimal Number
ValueCountFrequency (%)
5 7
58.3%
4 4
33.3%
3 1
 
8.3%
Space Separator
ValueCountFrequency (%)
2452
100.0%
Close Punctuation
ValueCountFrequency (%)
) 289
100.0%
Open Punctuation
ValueCountFrequency (%)
( 289
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11697
77.2%
Common 3440
 
22.7%
Latin 24
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
충 664
 
5.7%
돌 516
 
4.4%
미 481
 
4.1%
고 441
 
3.8%
물 355
 
3.0%
차 339
 
2.9%
량 338
 
2.9%
공 313
 
2.7%
구 312
 
2.7%
조 311
 
2.7%
Other values (279) 7627
65.2%
Latin
ValueCountFrequency (%)
r 4
16.7%
p 3
12.5%
u 3
12.5%
i 2
8.3%
v 2
8.3%
a 2
8.3%
o 2
8.3%
n 1
 
4.2%
x 1
 
4.2%
s 1
 
4.2%
Other values (3) 3
12.5%
Common
ValueCountFrequency (%)
2452
71.3%
) 289
 
8.4%
( 289
 
8.4%
/ 241
 
7.0%
, 127
 
3.7%
· 21
 
0.6%
5 7
 
0.2%
4 4
 
0.1%
. 4
 
0.1%
: 4
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11697
77.2%
ASCII 3443
 
22.7%
None 21
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2452
71.2%
) 289
 
8.4%
( 289
 
8.4%
/ 241
 
7.0%
, 127
 
3.7%
5 7
 
0.2%
4 4
 
0.1%
r 4
 
0.1%
. 4
 
0.1%
: 4
 
0.1%
Other values (14) 22
 
0.6%
Hangul
ValueCountFrequency (%)
충 664
 
5.7%
돌 516
 
4.4%
미 481
 
4.1%
고 441
 
3.8%
물 355
 
3.0%
차 339
 
2.9%
량 338
 
2.9%
공 313
 
2.7%
구 312
 
2.7%
조 311
 
2.7%
Other values (279) 7627
65.2%
None
ValueCountFrequency (%)
· 21
100.0%

TM구조위도
Text

MISSING 

Distinct700
Distinct (%)72.0%
Missing519
Missing (%)34.8%
Memory size11.8 KiB
2024-01-10T06:02:57.752310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters9720
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

Unique573 ?
Unique (%)59.0%

Sample

1st row36 47 40.7
2nd row36 44 17.4
3rd row36 44 17.4
4th row36 44 17.4
5th row36 44 17.4
ValueCountFrequency (%)
36 971
33.3%
47 194
 
6.7%
46 190
 
6.5%
45 95
 
3.3%
50 95
 
3.3%
48 66
 
2.3%
49 58
 
2.0%
44 52
 
1.8%
43 40
 
1.4%
51 35
 
1.2%
Other values (441) 1120
38.4%
2024-01-10T06:02:58.206170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
20.0%
3 1370
14.1%
6 1335
13.7%
4 1132
11.6%
. 972
10.0%
5 743
 
7.6%
1 456
 
4.7%
0 439
 
4.5%
2 435
 
4.5%
7 406
 
4.2%
Other values (2) 488
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6804
70.0%
Space Separator 1944
 
20.0%
Other Punctuation 972
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1370
20.1%
6 1335
19.6%
4 1132
16.6%
5 743
10.9%
1 456
 
6.7%
0 439
 
6.5%
2 435
 
6.4%
7 406
 
6.0%
9 261
 
3.8%
8 227
 
3.3%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Other Punctuation
ValueCountFrequency (%)
. 972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9720
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1944
20.0%
3 1370
14.1%
6 1335
13.7%
4 1132
11.6%
. 972
10.0%
5 743
 
7.6%
1 456
 
4.7%
0 439
 
4.5%
2 435
 
4.5%
7 406
 
4.2%
Other values (2) 488
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9720
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
20.0%
3 1370
14.1%
6 1335
13.7%
4 1132
11.6%
. 972
10.0%
5 743
 
7.6%
1 456
 
4.7%
0 439
 
4.5%
2 435
 
4.5%
7 406
 
4.2%
Other values (2) 488
 
5.0%

TM구조경도
Text

MISSING 

Distinct726
Distinct (%)74.7%
Missing519
Missing (%)34.8%
Memory size11.8 KiB
2024-01-10T06:02:58.555493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters10692
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

Unique614 ?
Unique (%)63.2%

Sample

1st row126 52 50.0
2nd row126 51 37.0
3rd row126 51 37.0
4th row126 51 37.0
5th row126 51 37.0
ValueCountFrequency (%)
127 588
20.2%
126 384
 
13.2%
00 142
 
4.9%
03 107
 
3.7%
04 98
 
3.4%
01 82
 
2.8%
59 81
 
2.8%
05 67
 
2.3%
58 62
 
2.1%
02 48
 
1.6%
Other values (439) 1257
43.1%
2024-01-10T06:02:59.031474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
18.2%
2 1446
13.5%
1 1444
13.5%
0 1100
10.3%
. 972
9.1%
7 830
7.8%
5 807
7.5%
6 651
 
6.1%
3 497
 
4.6%
4 492
 
4.6%
Other values (2) 509
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7776
72.7%
Space Separator 1944
 
18.2%
Other Punctuation 972
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1446
18.6%
1 1444
18.6%
0 1100
14.1%
7 830
10.7%
5 807
10.4%
6 651
8.4%
3 497
 
6.4%
4 492
 
6.3%
9 266
 
3.4%
8 243
 
3.1%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Other Punctuation
ValueCountFrequency (%)
. 972
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10692
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1944
18.2%
2 1446
13.5%
1 1444
13.5%
0 1100
10.3%
. 972
9.1%
7 830
7.8%
5 807
7.5%
6 651
 
6.1%
3 497
 
4.6%
4 492
 
4.6%
Other values (2) 509
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
18.2%
2 1446
13.5%
1 1444
13.5%
0 1100
10.3%
. 972
9.1%
7 830
7.8%
5 807
7.5%
6 651
 
6.1%
3 497
 
4.6%
4 492
 
4.6%
Other values (2) 509
 
4.8%

TM방생위도
Text

MISSING 

Distinct222
Distinct (%)62.5%
Missing1136
Missing (%)76.2%
Memory size11.8 KiB
2024-01-10T06:02:59.392649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters3550
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

Unique166 ?
Unique (%)46.8%

Sample

1st row36 39 32.9
2nd row36 39 32.9
3rd row36 39 32.9
4th row36 39 32.9
5th row36 39 32.9
ValueCountFrequency (%)
36 364
34.2%
40 72
 
6.8%
39 43
 
4.0%
41 31
 
2.9%
45 25
 
2.3%
50 20
 
1.9%
12.8 18
 
1.7%
44 18
 
1.7%
42 17
 
1.6%
47 17
 
1.6%
Other values (208) 440
41.3%
2024-01-10T06:02:59.877292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
20.0%
3 593
16.7%
6 460
13.0%
. 355
10.0%
4 341
9.6%
0 210
 
5.9%
5 208
 
5.9%
1 202
 
5.7%
2 162
 
4.6%
9 125
 
3.5%
Other values (2) 184
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2485
70.0%
Space Separator 710
 
20.0%
Other Punctuation 355
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 593
23.9%
6 460
18.5%
4 341
13.7%
0 210
 
8.5%
5 208
 
8.4%
1 202
 
8.1%
2 162
 
6.5%
9 125
 
5.0%
7 99
 
4.0%
8 85
 
3.4%
Space Separator
ValueCountFrequency (%)
710
100.0%
Other Punctuation
ValueCountFrequency (%)
. 355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
710
20.0%
3 593
16.7%
6 460
13.0%
. 355
10.0%
4 341
9.6%
0 210
 
5.9%
5 208
 
5.9%
1 202
 
5.7%
2 162
 
4.6%
9 125
 
3.5%
Other values (2) 184
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
20.0%
3 593
16.7%
6 460
13.0%
. 355
10.0%
4 341
9.6%
0 210
 
5.9%
5 208
 
5.9%
1 202
 
5.7%
2 162
 
4.6%
9 125
 
3.5%
Other values (2) 184
 
5.2%

TM방생경도
Text

MISSING 

Distinct227
Distinct (%)63.9%
Missing1136
Missing (%)76.2%
Memory size11.8 KiB
2024-01-10T06:03:00.224680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length11
Mean length11
Min length11

Characters and Unicode

Total characters3905
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

Unique176 ?
Unique (%)49.6%

Sample

1st row126 48 42.4
2nd row126 48 42.4
3rd row126 48 42.4
4th row126 48 42.4
5th row126 48 42.4
ValueCountFrequency (%)
126 255
23.9%
127 98
 
9.2%
51 63
 
5.9%
48 42
 
3.9%
49 22
 
2.1%
01 20
 
1.9%
03 20
 
1.9%
57 20
 
1.9%
50 17
 
1.6%
04 17
 
1.6%
Other values (220) 491
46.1%
2024-01-10T06:03:00.677468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
710
18.2%
1 538
13.8%
2 532
13.6%
6 372
9.5%
. 355
9.1%
4 300
7.7%
5 293
7.5%
0 249
 
6.4%
7 191
 
4.9%
3 133
 
3.4%
Other values (2) 232
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2840
72.7%
Space Separator 710
 
18.2%
Other Punctuation 355
 
9.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 538
18.9%
2 532
18.7%
6 372
13.1%
4 300
10.6%
5 293
10.3%
0 249
8.8%
7 191
 
6.7%
3 133
 
4.7%
9 117
 
4.1%
8 115
 
4.0%
Space Separator
ValueCountFrequency (%)
710
100.0%
Other Punctuation
ValueCountFrequency (%)
. 355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3905
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
710
18.2%
1 538
13.8%
2 532
13.6%
6 372
9.5%
. 355
9.1%
4 300
7.7%
5 293
7.5%
0 249
 
6.4%
7 191
 
4.9%
3 133
 
3.4%
Other values (2) 232
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3905
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
710
18.2%
1 538
13.8%
2 532
13.6%
6 372
9.5%
. 355
9.1%
4 300
7.7%
5 293
7.5%
0 249
 
6.4%
7 191
 
4.9%
3 133
 
3.4%
Other values (2) 232
 
5.9%

등록체중
Text

Distinct625
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:03:01.009891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.01945
Min length1

Characters and Unicode

Total characters4502
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

Unique465 ?
Unique (%)31.2%

Sample

1st row2050
2nd row26
3rd row26
4th row26
5th row26
ValueCountFrequency (%)
0 312
 
20.9%
1,066 86
 
5.8%
34 23
 
1.5%
27 20
 
1.3%
26 20
 
1.3%
22 18
 
1.2%
28 16
 
1.1%
10 14
 
0.9%
11 14
 
0.9%
24 13
 
0.9%
Other values (615) 955
64.1%
2024-01-10T06:03:01.460688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1102
24.5%
1 781
17.3%
2 505
11.2%
6 495
11.0%
4 375
 
8.3%
3 276
 
6.1%
8 274
 
6.1%
, 185
 
4.1%
5 181
 
4.0%
7 152
 
3.4%
Other values (2) 176
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4271
94.9%
Other Punctuation 231
 
5.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1102
25.8%
1 781
18.3%
2 505
11.8%
6 495
11.6%
4 375
 
8.8%
3 276
 
6.5%
8 274
 
6.4%
5 181
 
4.2%
7 152
 
3.6%
9 130
 
3.0%
Other Punctuation
ValueCountFrequency (%)
, 185
80.1%
. 46
 
19.9%

Most occurring scripts

ValueCountFrequency (%)
Common 4502
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1102
24.5%
1 781
17.3%
2 505
11.2%
6 495
11.0%
4 375
 
8.3%
3 276
 
6.1%
8 274
 
6.1%
, 185
 
4.1%
5 181
 
4.0%
7 152
 
3.4%
Other values (2) 176
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4502
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1102
24.5%
1 781
17.3%
2 505
11.2%
6 495
11.0%
4 375
 
8.3%
3 276
 
6.1%
8 274
 
6.1%
, 185
 
4.1%
5 181
 
4.0%
7 152
 
3.4%
Other values (2) 176
 
3.9%

현재체중
Text

Distinct659
Distinct (%)44.2%
Missing0
Missing (%)0.0%
Memory size11.8 KiB
2024-01-10T06:03:01.779336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.1052985
Min length1

Characters and Unicode

Total characters4630
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

Unique496 ?
Unique (%)33.3%

Sample

1st row2050
2nd row150
3rd row150
4th row150
5th row150
ValueCountFrequency (%)
0 319
 
21.4%
1,066 86
 
5.8%
22 19
 
1.3%
13 18
 
1.2%
608 17
 
1.1%
150 15
 
1.0%
15 13
 
0.9%
14 13
 
0.9%
550 9
 
0.6%
11 9
 
0.6%
Other values (649) 973
65.3%
2024-01-10T06:03:02.227220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1145
24.7%
1 815
17.6%
6 503
10.9%
2 442
 
9.5%
4 382
 
8.3%
8 323
 
7.0%
3 266
 
5.7%
5 228
 
4.9%
, 186
 
4.0%
7 144
 
3.1%
Other values (2) 196
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4386
94.7%
Other Punctuation 244
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1145
26.1%
1 815
18.6%
6 503
11.5%
2 442
 
10.1%
4 382
 
8.7%
8 323
 
7.4%
3 266
 
6.1%
5 228
 
5.2%
7 144
 
3.3%
9 138
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 186
76.2%
. 58
 
23.8%

Most occurring scripts

ValueCountFrequency (%)
Common 4630
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1145
24.7%
1 815
17.6%
6 503
10.9%
2 442
 
9.5%
4 382
 
8.3%
8 323
 
7.0%
3 266
 
5.7%
5 228
 
4.9%
, 186
 
4.0%
7 144
 
3.1%
Other values (2) 196
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4630
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1145
24.7%
1 815
17.6%
6 503
10.9%
2 442
 
9.5%
4 382
 
8.3%
8 323
 
7.0%
3 266
 
5.7%
5 228
 
4.9%
, 186
 
4.0%
7 144
 
3.1%
Other values (2) 196
 
4.2%

임상적최종진단
Text

Distinct849
Distinct (%)57.3%
Missing10
Missing (%)0.7%
Memory size11.8 KiB
2024-01-10T06:03:02.520802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length45
Mean length12.900743
Min length2

Characters and Unicode

Total characters19106
Distinct characters386
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

Unique755 ?
Unique (%)51.0%

Sample

1st row좌측 날개 상완골 이하 절단 소실
2nd row단순 미아
3rd row단순 미아
4th row단순 미아
5th row단순 미아
ValueCountFrequency (%)
의한 433
 
7.7%
미아 315
 
5.6%
및 223
 
4.0%
골절 182
 
3.2%
충돌에 182
 
3.2%
단순 153
 
2.7%
좌측 133
 
2.4%
우측 120
 
2.1%
폐사 104
 
1.8%
뇌진탕 101
 
1.8%
Other values (884) 3696
65.5%
2024-01-10T06:03:02.958613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4203
 
22.0%
한 569
 
3.0%
골 519
 
2.7%
에 490
 
2.6%
의 489
 
2.6%
절 394
 
2.1%
아 369
 
1.9%
미 360
 
1.9%
상 356
 
1.9%
충 351
 
1.8%
Other values (376) 11006
57.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13451
70.4%
Space Separator 4203
 
22.0%
Lowercase Letter 628
 
3.3%
Other Punctuation 282
 
1.5%
Uppercase Letter 232
 
1.2%
Decimal Number 120
 
0.6%
Open Punctuation 89
 
0.5%
Close Punctuation 88
 
0.5%
Math Symbol 8
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
한 569
 
4.2%
골 519
 
3.9%
에 490
 
3.6%
의 489
 
3.6%
절 394
 
2.9%
아 369
 
2.7%
미 360
 
2.7%
상 356
 
2.6%
충 351
 
2.6%
개 309
 
2.3%
Other values (326) 9245
68.7%
Lowercase Letter
ValueCountFrequency (%)
a 70
11.1%
t 56
 
8.9%
i 55
 
8.8%
o 52
 
8.3%
n 50
 
8.0%
r 47
 
7.5%
e 46
 
7.3%
l 32
 
5.1%
u 28
 
4.5%
p 25
 
4.0%
Other values (14) 167
26.6%
Uppercase Letter
ValueCountFrequency (%)
L 82
35.3%
C 42
18.1%
H 42
18.1%
B 41
17.7%
T 9
 
3.9%
R 8
 
3.4%
S 5
 
2.2%
E 1
 
0.4%
D 1
 
0.4%
V 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
6 29
24.2%
3 20
16.7%
2 20
16.7%
5 19
15.8%
1 16
13.3%
4 14
11.7%
0 1
 
0.8%
7 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 211
74.8%
/ 43
 
15.2%
. 28
 
9.9%
Space Separator
ValueCountFrequency (%)
4203
100.0%
Open Punctuation
ValueCountFrequency (%)
( 89
100.0%
Close Punctuation
ValueCountFrequency (%)
) 88
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13451
70.4%
Common 4795
 
25.1%
Latin 860
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
한 569
 
4.2%
골 519
 
3.9%
에 490
 
3.6%
의 489
 
3.6%
절 394
 
2.9%
아 369
 
2.7%
미 360
 
2.7%
상 356
 
2.6%
충 351
 
2.6%
개 309
 
2.3%
Other values (326) 9245
68.7%
Latin
ValueCountFrequency (%)
L 82
 
9.5%
a 70
 
8.1%
t 56
 
6.5%
i 55
 
6.4%
o 52
 
6.0%
n 50
 
5.8%
r 47
 
5.5%
e 46
 
5.3%
C 42
 
4.9%
H 42
 
4.9%
Other values (24) 318
37.0%
Common
ValueCountFrequency (%)
4203
87.7%
, 211
 
4.4%
( 89
 
1.9%
) 88
 
1.8%
/ 43
 
0.9%
6 29
 
0.6%
. 28
 
0.6%
3 20
 
0.4%
2 20
 
0.4%
5 19
 
0.4%
Other values (6) 45
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13451
70.4%
ASCII 5655
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4203
74.3%
, 211
 
3.7%
( 89
 
1.6%
) 88
 
1.6%
L 82
 
1.5%
a 70
 
1.2%
t 56
 
1.0%
i 55
 
1.0%
o 52
 
0.9%
n 50
 
0.9%
Other values (40) 699
 
12.4%
Hangul
ValueCountFrequency (%)
한 569
 
4.2%
골 519
 
3.9%
에 490
 
3.6%
의 489
 
3.6%
절 394
 
2.9%
아 369
 
2.7%
미 360
 
2.7%
상 356
 
2.6%
충 351
 
2.6%
개 309
 
2.3%
Other values (326) 9245
68.7%

Sample

접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
02019-1706쇠기러기조강(Aves)기러기목오리과해당없음해당없음해당없음2019-12-092019-12-09안락사<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
12019-0640흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
22019-0641흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
32019-0642흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
42019-0643흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
52019-0644흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
62019-0645흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
72019-0646흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
82019-0647흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
92019-0648흰뺨검둥오리조강(Aves)기러기목오리과해당없음해당없음해당없음2019-06-032019-08-09방생충청남도 예산군 대흥면 손지리 542<NA>UnknownNestling36.738167126.8602782036.659224126.811779(벚꽃로708번길 3) 건물 앞 마당충청남도 아산시 도고면 효자리 174-5건물옆어미를 잃음(미아)부화 후 이동하는 과정에서 어미를 잃음36 44 17.4126 51 37.036 39 32.9126 48 42.426150단순 미아
접수번호동물국문명강목과천연기념물멸종위기등급야생동물보호협약구조일시구조결과일자구조결과이첩 방생 위치사체처리동물성별동물연령구조위도구조경도구조고도방생위도방생경도발견장소상세발견주소발견장소특징발생원인발생원인 세부사항TM구조위도TM구조경도TM방생위도TM방생경도등록체중현재체중임상적최종진단
14812022-2305너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-132022-11-13안락사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Female0년0월0일36.45.558127.02.22327<NA><NA>크라운제과 입구 도로변 쪽충남 아산시 배방읍 공수리 971도로변기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>4,0404,040개선충중감염, 심한 승저증
14822022-2307너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-142022-11-14DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.48.525126.55.37016<NA><NA><NA>충남 아산시 신창면 가덕리 156농경지기생충 중감염기생충 중감염//개선충중감염<NA><NA><NA><NA>2,5802,580개선충중감염, 기아
14832022-2311너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-142022-11-18폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.46.391127.02.03514<NA><NA>주택충남 아산시 신동 307기타기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>3,3403,360개선충 중감염 및 피하 농양
14842022-2312너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-142023-03-17방생충남 서산시 부석면 창리 산 25<NA>Male0년0월0일36.42.535127.01.304152<NA><NA>주소지 원두막충남 아산시 송악면 강당로177번길 103건물옆기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>4,2204,530개선충 중감염 및 피하 농양, 승저증
14852022-2334너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-172022-11-18폐사체<NA>폐기Unknown0년0월0일36.53.048126.59.4820<NA><NA>KBI에이스텍 공장 인근충남 아산시 영인면 윤보선로 69건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>00개선충 중감염
14862022-2351너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-212022-11-22DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.47.186126.59.1520<NA><NA>아산신정중학교 주차장 펜스 뒤 경계녹지 상충남 아산시 온천대로 1333번길 31건물옆기생충 중감염기생충 중감염/개선충 중감염<NA><NA><NA><NA>3,1003,100개선충 중감염, 승저증(등,목)
14872022-2354너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-222022-11-23DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.46.291127.03.4260<NA><NA>주소지 부근 가정집 마당충남 아산시 배방읍 모산로 170-7건물옆기생충 중감염기생충 중감염/개선충 감염<NA><NA><NA><NA>3,2803,280개선충 중감염, 승저증
14882022-2357너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-232022-11-24DOA<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Female0년0월0일36.46.345126.50.2660<NA><NA>건물 옆충남 아산시 선장면 돈포리 265-1건물옆기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>5,0605,060등 교상, 개선충중감염
14892022-2361너구리포유강(Mammalia)식육목개과해당없음해당없음해당없음2022-11-232022-11-30폐사<NA>냉동(구냉동창고)(성체고라니, 개선충너구리)Male0년0월0일36.52.501127.04.3540<NA><NA><NA>충남 아산시 음봉면 쌍암리 288-10숲기생충 중감염기생충 중감염/개선충<NA><NA><NA><NA>3,5403,540개선충 중감염
14902022-1422족제비포유강(Mammalia)식육목족제비과해당없음해당없음해당없음2022-06-272022-06-27폐사체<NA>폐기Unknown0년0월0일36.46.445127.00.34428<NA><NA>도로중앙선 근처충남 아산시 외암로 1631도로변차량과의 충돌차량과의 충돌<NA><NA><NA><NA>00HBC