R nanocourse 2. Data Import and Graphics

Learn about the C-V-A approach: Collect, Visualize, Analyze.

Thierry Warin https://www.nuance-r.com/principalInvestigator.html


When it comes to data science, we basically do three important things:

  1. we collect the relevant data (from a .csv file, from a Google Sheets document, or from an API - Application Programming Interface);
  2. we visualize the data;
  3. we analyze the data using statistical and econometric methods.

In short, we do the C-V-A approach.

In this second document, we will focus on collecting data and creating graphs using these data. You will realize what reproductible research is all about!


At the end of the lab, you should be able to:

  1. import data from a .csv file as well as from a Google Sheets document;
  2. visualize the data in a reproductible way.

Keywords: RStudio; importing data; data visualization; reproducible research



For attribution, please cite this work as

Warin (2019, May 23). Virtual Campus: R nanocourse 2. Data Import and Graphics. Retrieved from https://virtualcampus.skemagloballab.io/posts/Rnanocourse2/

BibTeX citation

  author = {Warin, Thierry},
  title = {Virtual Campus: R nanocourse 2. Data Import and Graphics},
  url = {https://virtualcampus.skemagloballab.io/posts/Rnanocourse2/},
  year = {2019}