A showcase of Data Analysis in Python and R: A case study using COVID-19 data
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.
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
This webinar is open to anyone (not just to Intersect member universities)