In this document you can see how to do some important data cleaning, such as substitute NA values for 0 using the is.na.data.frame() function, omit NA values using the na.omit() function, and filter the table using the filter() function from tidyverse library.
-
Notifications
You must be signed in to change notification settings - Fork 0
brunacaveion/cleaning-data-Rstudio
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
In this document you can see how to do some important data cleaning
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published