R Stats and Google Colab

If you read my other post on using cloud notebooks, you'll remember that I mentioned Google Colaboratory.  Google Colab is a great resource for those who are used to performing data science in Jupyter Notebooks or in RStudio.  It is a great place to collaborate with other coders as well.  The notebooks can be imported, exported and shared.  You can find tutorials online, in Kaggle, Github, to name a few.

As an R lover, I have built the first part of two tutorials on linear regression.  It's for beginners, going back to my roots as a statistics instructor.  This first tutorial is on Exploratory Data Analysis (EDAs). 

I've posted it in GitHub, and the notebook can be dowloaded.  It's commented out for someone who is new to R, stats, or Colab.  Because the dataset is native to R, it's plug-and-play, therefore the code can easily be run in any R environment.

Here's the link: GitHub EDAs Kaggle

Look for the second half soon and let me know what you think!