A showcase of Data Analysis in Python and R: A Case Study using COVID-19 data

Authors: Dr Malcolm Ramsay

Webinar duration: 1 hour

See data cleaning and manipulation demonstrated in both R and Python using COVID-19 datasets.

This webinar is open to anyone (not just to Intersect member universities)

 

About this webinar

In all fields of research we are being confronted with a deluge of data; data that needs cleaning and transformation to be used in further analysis. This webinar demonstrates the effective use of programming tools for an initial analysis of COVID-19 datasets, with examples using both R and Python.

 

Webinar Topics

  • Cleaning up a dataset for analysis
  • Using Jupyter lab for interactive analysis
  • Making the most of the tidyverse (R) and pandas (python)
  • Simple data visualisation using ggplot (R) and seaborn (python)
  • Best practices for readable code

Licence

Copyright © 2021 Intersect Australia Ltd. All rights reserved.