Today, Matt will discuss how the tidyr package can help us merge multiple datasets together, then explore how we can reshape a dataset to make analysis or visualization easier.  This covers material from Chapter 12 and Chapter 13 in R … Read more

Today, Nuvan will guide you through working with text and categorical data while exploring strings and factors. This is also covered in R for Data Science Chapters 14 and 15.

Now that we’ve got some practice importing and cleaning data in R, it’s time to move on to the next step: analysis. This week, Lorin will show you how to use EDA techniques in R to discover patterns in your … Read more

Do you ever wonder how we are able to present R code, plots, and formatted text all together on a single web page for our weekly lessons? The answer is R Markdown. This week, Nuvan will show you how to … Read more