pengunes_data_example

Pengunes Data

• First we will have to install tidyvers packages
• Second, will have to load packages form the library
• Third, will need to clean the data with dplyr package

Data chunks

library(tidyverse)
library(palmerpenguins)

Data views

head(penguins)

str(penguins)

tibble [344 × 8] (S3: tbl_df/tbl/data.frame)
 $ species          : Factor w/ 3 levels "Adelie","Chinstrap",..: 1 1 1 1 1 1 1 1 1 1 ...
 $ island           : Factor w/ 3 levels "Biscoe","Dream",..: 3 3 3 3 3 3 3 3 3 3 ...
 $ bill_length_mm   : num [1:344] 39.1 39.5 40.3 NA 36.7 39.3 38.9 39.2 34.1 42 ...
 $ bill_depth_mm    : num [1:344] 18.7 17.4 18 NA 19.3 20.6 17.8 19.6 18.1 20.2 ...
 $ flipper_length_mm: int [1:344] 181 186 195 NA 193 190 181 195 193 190 ...
 $ body_mass_g      : int [1:344] 3750 3800 3250 NA 3450 3650 3625 4675 3475 4250 ...
 $ sex              : Factor w/ 2 levels "female","male": 2 1 1 NA 1 2 1 2 NA NA ...
 $ year             : int [1:344] 2007 2007 2007 2007 2007 2007 2007 2007 2007 2007 ...

colnames(penguins)

[1] "species"           "island"           
[3] "bill_length_mm"    "bill_depth_mm"    
[5] "flipper_length_mm" "body_mass_g"      
[7] "sex"               "year"             

Data viuails and ploting

ggplot(data = penguins)+
  geom_point(mapping = aes(x= flipper_length_mm,y=body_mass_g))