If a category is spread across multiple columns, we can reshape those columns from long to wide with one simple function.
Sorting data frames can help you get a better idea of your data. I’ll show you one way using dplyr’s arrange to do just that.
Revenue data often comes with dollar signs and commas. In this article, I’ll show you how to remove characters so we can convert that raw data into a numeric value.
Using the handy lubridate package, we can convert values R reads in as Characters to Date’s.
Using two methods, base R and the readr package, we can read in our csv files with little effort!