[R Course] R nanocourse 2. Data Import and Graphics

R Courses R Nanocourses

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

Author

Affiliation

Thierry Warin

HEC Montréal and CIRANO (Canada)

Published

May 23, 2019

DOI

10.6084/m9.figshare.11842416.v2

Introduction

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!

Goals

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



ACCESS TO THE COURSE



Footnotes

    Citation

    For attribution, please cite this work as

    Warin (2019, May 23). Thierry Warin, PhD: [R Course] R nanocourse 2. Data Import and Graphics. Retrieved from https://warin.ca/posts/rcourse-rnanocourse2/

    BibTeX citation

    @misc{warin2019[r,
  author = {Warin, Thierry},
  title = {Thierry Warin, PhD: [R Course] R nanocourse 2. Data Import and Graphics},
  url = {https://warin.ca/posts/rcourse-rnanocourse2/},
  year = {2019}
}