Overview

Dataset statistics

Number of variables3
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.6%
Total size in memory4.1 KiB
Average record size in memory24.8 B

Variable types

Text2
Categorical1

Dataset

Description본 데이터는 산림청에서 수행한 백두대간 자원실태변화 조사 결과를 바탕으로 한다. 본 데이터는 백두대간 자원실태변화 조사의 5개 권역 공간에 대한 총괄적인 자료이며 백두대간 마루금을 조사하며 출현한 동물의 국문명, 학명 등을 제공한다.
Author산림청
URLhttps://www.data.go.kr/data/15072472/fileData.do

Alerts

Dataset has 1 (0.6%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 04:17:13.097354
Analysis finished2023-12-12 04:17:13.364102
Duration0.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

동물명(국명)
Text

Distinct156
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:17:13.564117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.7647059
Min length1

Characters and Unicode

Total characters810
Distinct characters227
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)84.1%

Sample

1st row두점박이사슴벌레
2nd row저어새
3rd row상제나비
4th row크낙새
5th row꼬치동자개
ValueCountFrequency (%)
감돌고기 3
 
1.8%
꼬치동자개 2
 
1.2%
산굴뚝나비 2
 
1.2%
벌매 2
 
1.2%
흰수마자 2
 
1.2%
가는돌고기 2
 
1.2%
노랑부리백로 2
 
1.2%
둑중개 2
 
1.2%
고리무늬물범 2
 
1.2%
개리 2
 
1.2%
Other values (146) 149
87.6%
2023-12-12T13:17:13.964861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 51
 
6.3%
기 22
 
2.7%
수 21
 
2.6%
이 18
 
2.2%
고 17
 
2.1%
개 17
 
2.1%
미 15
 
1.9%
새 14
 
1.7%
호 14
 
1.7%
산 14
 
1.7%
Other values (217) 607
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 810
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 51
 
6.3%
기 22
 
2.7%
수 21
 
2.6%
이 18
 
2.2%
고 17
 
2.1%
개 17
 
2.1%
미 15
 
1.9%
새 14
 
1.7%
호 14
 
1.7%
산 14
 
1.7%
Other values (217) 607
74.9%

Most occurring scripts

ValueCountFrequency (%)
Hangul 810
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 51
 
6.3%
기 22
 
2.7%
수 21
 
2.6%
이 18
 
2.2%
고 17
 
2.1%
개 17
 
2.1%
미 15
 
1.9%
새 14
 
1.7%
호 14
 
1.7%
산 14
 
1.7%
Other values (217) 607
74.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 810
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 51
 
6.3%
기 22
 
2.7%
수 21
 
2.6%
이 18
 
2.2%
고 17
 
2.1%
개 17
 
2.1%
미 15
 
1.9%
새 14
 
1.7%
호 14
 
1.7%
산 14
 
1.7%
Other values (217) 607
74.9%

동물명(학명)
Text

Distinct169
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T13:17:14.268892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length17.717647
Min length9

Characters and Unicode

Total characters3012
Distinct characters48
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)98.8%

Sample

1st rowProsopocoilus blanchardi
2nd rowPlatalea minor
3rd rowAporia crataegi
4th rowDryocopus javensis
5th rowCoreobagrus brevicorpus
ValueCountFrequency (%)
grus 6
 
1.8%
dendronephthya 5
 
1.5%
gobiobotia 5
 
1.5%
buteo 4
 
1.2%
falco 4
 
1.2%
pseudopungtungia 4
 
1.2%
anser 4
 
1.2%
accipiter 4
 
1.2%
circus 4
 
1.2%
cygnus 4
 
1.2%
Other values (262) 296
87.1%
2023-12-12T13:17:14.716535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 307
 
10.2%
i 254
 
8.4%
s 253
 
8.4%
e 205
 
6.8%
o 204
 
6.8%
u 192
 
6.4%
r 191
 
6.3%
n 173
 
5.7%
170
 
5.6%
l 138
 
4.6%
Other values (38) 925
30.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2671
88.7%
Space Separator 170
 
5.6%
Uppercase Letter 170
 
5.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 307
11.5%
i 254
9.5%
s 253
9.5%
e 205
 
7.7%
o 204
 
7.6%
u 192
 
7.2%
r 191
 
7.2%
n 173
 
6.5%
l 138
 
5.2%
t 137
 
5.1%
Other values (16) 617
23.1%
Uppercase Letter
ValueCountFrequency (%)
P 30
17.6%
C 28
16.5%
A 19
11.2%
G 15
8.8%
D 10
 
5.9%
E 9
 
5.3%
M 9
 
5.3%
L 8
 
4.7%
F 7
 
4.1%
S 7
 
4.1%
Other values (10) 28
16.5%
Space Separator
ValueCountFrequency (%)
170
100.0%
Other Punctuation
ValueCountFrequency (%)
" 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2841
94.3%
Common 171
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 307
 
10.8%
i 254
 
8.9%
s 253
 
8.9%
e 205
 
7.2%
o 204
 
7.2%
u 192
 
6.8%
r 191
 
6.7%
n 173
 
6.1%
l 138
 
4.9%
t 137
 
4.8%
Other values (36) 787
27.7%
Common
ValueCountFrequency (%)
170
99.4%
" 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 307
 
10.2%
i 254
 
8.4%
s 253
 
8.4%
e 205
 
6.8%
o 204
 
6.8%
u 192
 
6.4%
r 191
 
6.3%
n 173
 
5.7%
170
 
5.6%
l 138
 
4.6%
Other values (38) 925
30.7%

분류기준
Categorical

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
멸종위기 야생동물 2급
123 
멸종위기 야생동물 1급
47 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row멸종위기 야생동물 1급
2nd row멸종위기 야생동물 1급
3rd row멸종위기 야생동물 1급
4th row멸종위기 야생동물 1급
5th row멸종위기 야생동물 1급

Common Values

ValueCountFrequency (%)
멸종위기 야생동물 2급 123
72.4%
멸종위기 야생동물 1급 47
 
27.6%

Length

2023-12-12T13:17:14.855099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:17:14.957796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
멸종위기 170
33.3%
야생동물 170
33.3%
2급 123
24.1%
1급 47
 
9.2%

Missing values

2023-12-12T13:17:13.262055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:17:13.334512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

동물명(국명)동물명(학명)분류기준
0두점박이사슴벌레Prosopocoilus blanchardi멸종위기 야생동물 1급
1저어새Platalea minor멸종위기 야생동물 1급
2상제나비Aporia crataegi멸종위기 야생동물 1급
3크낙새Dryocopus javensis멸종위기 야생동물 1급
4꼬치동자개Coreobagrus brevicorpus멸종위기 야생동물 1급
5구렁이Elaphe schrenckii멸종위기 야생동물 1급
6퉁사리Liobagrus obesus멸종위기 야생동물 1급
7꼬치동자개Pseudobagrus brevicorpus멸종위기 야생동물 1급
8장수하늘소Callipogon relictus멸종위기 야생동물 1급
9청다리도요사촌Tringa guttifer멸종위기 야생동물 1급
동물명(국명)동물명(학명)분류기준
160칠성장어Lampetra japonica멸종위기 야생동물 2급
161다묵장어Lampetra reissneri멸종위기 야생동물 2급
162가시고기Pungitius sinensis멸종위기 야생동물 2급
163먹황새Ciconia nigra멸종위기 야생동물 2급
164쇠황조롱이Falco columbarius멸종위기 야생동물 2급
165새호리기Falco subbuteo멸종위기 야생동물 2급
166참달팽이Koreanohadra koreana멸종위기 야생동물 2급
167붉은배새배Accipiter soloensis멸종위기 야생동물 2급
168새매Accipiter nisus멸종위기 야생동물 2급
169벌매Pernis ptilorhynchus멸종위기 야생동물 2급

Duplicate rows

Most frequently occurring

동물명(국명)동물명(학명)분류기준# duplicates
0벌매Pernis ptilorhynchus멸종위기 야생동물 2급2