RStudio: To get started with R, download and install RStudio’s open-source desktop IDE
swirl: Once RStudio is installed (or your IDE of choice), installing the swirl package is as easy as typing install.packages(“swirl”) in the RStudio console
This R package includes 15 interactive lessons (about 30 minutes each) that teach you the fundamentals of R programming and the data structures
R for Excel Users: Pivoting from a financial modeling background to data science, this blog was helpful in understanding how to do common “Excel stuff” in R
RStudio shortcuts: Keystrokes make everything faster, and this certainly helps
Tip for Excel users: If you’re using Excel regularly, stop using your mouse!
PSS: I love Excel, and R. So if you’re crushing Excel regularly and have any R questions, let me know.
[Introduction to dplyr]: After installing the dplyr package, you can copy/paste sample R code from this site to learn how to use dplyr functions
dplyr is one of the Tidyverse packages that makes data manipulation and summarization easier and faster to do in R
ggplot2: While R’s base graphing capabilities are powerful, the ggplot2 package makes it easier to produce high-quality plots and visualizations (ggplot2 sample below)
