Data Manipulation in R using dplyr summarise and group_by function - 1 (e)

Published: 25 April 2020
on channel: R Programming
3,174
62

Grouped summaries - where group data is processed using summarise function
Summarise function helps to evaluate various statistics
Group_by function helps to create grouped data objects for further manipulation and processing

"group_by in R" and "summarise in R" are important for data manipulation

dplyr package provides a general framework for the manipulation of data frames in R

filter function link
   • Data Manipulation in R using dplyr filter ...  
select function link
   • Data manipulation in R using dplyr select ...  
arrange function link
   • Data Manipulation in R using dplyr arrange...  
mutate and rename link
   • Data Manipulation in R using dplyr arrange...  
pipe
   • Data Manipulation in R using pipe operator...  


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