Overview

Dataset statistics

Number of variables3
Number of observations202
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory25.6 B

Variable types

Categorical2
Text1

Dataset

Description울산 멸종위기야생동식물 목록 으로 환경부지 지정 등급 1급과 2급으로 구분하여 식물과 포유류 및 어류 조류 등으로 나눠서 정리 함
Author울산광역시
URLhttps://www.data.go.kr/data/15126882/fileData.do

Alerts

명칭 has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:47:02.348293
Analysis finished2024-03-14 11:47:02.864619
Duration0.52 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct7
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
식물
65 
조류
46 
무척추동물
29 
곤충류
20 
포유류
18 
Other values (2)
24 

Length

Max length5
Median length2
Mean length2.7079208
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식물 65
32.2%
조류 46
22.8%
무척추동물 29
14.4%
곤충류 20
 
9.9%
포유류 18
 
8.9%
어류 18
 
8.9%
양서파충류 6
 
3.0%

Length

2024-03-14T20:47:03.026042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:47:03.308014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식물 65
32.2%
조류 46
22.8%
무척추동물 29
14.4%
곤충류 20
 
9.9%
포유류 18
 
8.9%
어류 18
 
8.9%
양서파충류 6
 
3.0%

명칭
Text

UNIQUE 

Distinct202
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2024-03-14T20:47:04.515799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.460396
Min length1

Characters and Unicode

Total characters901
Distinct characters262
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)100.0%

Sample

1st row붉은박쥐
2nd row늑대
3rd row여우
4th row표범
5th row호랑이
ValueCountFrequency (%)
붉은박쥐 1
 
0.5%
장수삿간조개 1
 
0.5%
흰수지맨드라미 1
 
0.5%
삼백초 1
 
0.5%
밤수지맨드라미 1
 
0.5%
연수지맨드라미 1
 
0.5%
자색수지맨드라미 1
 
0.5%
검붉은수지맨드라미 1
 
0.5%
유착나무돌산호 1
 
0.5%
잔가지나무돌산호 1
 
0.5%
Other values (192) 192
95.0%
2024-03-14T20:47:05.920171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
42
 
4.7%
22
 
2.4%
20
 
2.2%
19
 
2.1%
18
 
2.0%
18
 
2.0%
15
 
1.7%
15
 
1.7%
15
 
1.7%
14
 
1.6%
Other values (252) 703
78.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 899
99.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
4.7%
22
 
2.4%
20
 
2.2%
19
 
2.1%
18
 
2.0%
18
 
2.0%
15
 
1.7%
15
 
1.7%
15
 
1.7%
14
 
1.6%
Other values (250) 701
78.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 899
99.8%
Common 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
4.7%
22
 
2.4%
20
 
2.2%
19
 
2.1%
18
 
2.0%
18
 
2.0%
15
 
1.7%
15
 
1.7%
15
 
1.7%
14
 
1.6%
Other values (250) 701
78.0%
Common
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 899
99.8%
ASCII 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
42
 
4.7%
22
 
2.4%
20
 
2.2%
19
 
2.1%
18
 
2.0%
18
 
2.0%
15
 
1.7%
15
 
1.7%
15
 
1.7%
14
 
1.6%
Other values (250) 701
78.0%
ASCII
ValueCountFrequency (%)
( 1
50.0%
) 1
50.0%

멸종등급
Categorical

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2
156 
1
46 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
2 156
77.2%
1 46
 
22.8%

Length

2024-03-14T20:47:06.138746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:47:06.314424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 156
77.2%
1 46
 
22.8%

Correlations

2024-03-14T20:47:06.510361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분멸종등급
구분1.0000.156
멸종등급0.1561.000
2024-03-14T20:47:06.739344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분멸종등급
구분1.0000.165
멸종등급0.1651.000
2024-03-14T20:47:06.966194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분멸종등급
구분1.0000.165
멸종등급0.1651.000

Missing values

2024-03-14T20:47:02.656284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:47:02.811096image/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

구분명칭멸종등급
0포유류붉은박쥐1
1포유류늑대1
2포유류여우1
3포유류표범1
4포유류호랑이1
5포유류시라소니1
6포유류수달1
7포유류바다사자1
8조류노랑부리백로1
9조류황새1
구분명칭멸종등급
192식물진노랑상사화2
193식물노랑무늬붓꽃2
194식물노랑붓꽃2
195식물대청부채2
196식물털복주머니란2
197식물으름난초2
198식물백운란2
199식물대흥란2
200식물지네발란2
201식물삼나무말(해조류)2