In this second blog post in the series of data science in R, I will introduce the basics of data frames. The credit for all the material in this and the future posts goes to DataCamp.
COMING SOON!
In this blog, we will look at how to describe relationships between two numerical quantities and perform simple regression models.
INCOMPLETE POST - IN PROGRESS!
This blog post looks at how to work with non-numerical data, such as job titles, survey responses, or demographic information. R has a special way of representing them, called factors, and in this post we will look at how to deal with them using the tidyverse package forcats.
In this series of blog posts to data science in R, I will introduce the basics of R such as vectors and matrices. The credit for all the material in this and the future posts goes to DataCamp.
This post shows how to format your RMarkdown. Markdown is a simple formatting syntax for authoring HTML, PDF, and MS Word documents. For more details on using R Markdown see http://rmarkdown.rstudio.com.
