Date: Wednesday, 22 February 2023.
Time: 12:30 p.m. to 2:30 p.m.
Location: hybrid (in-person at Burnside Hall 1104, and online via Zoom).
Instructor: Jake Lawlor, PhD student, Dept. of Biology, Faculty of Science, McGill.
Overview: Exploratory Data Analysis (EDA) is used to perform an initial analysis of your data in order to get a feel for the variables involved and whether your data entails certain patterns.
At the end of this workshop, you will be able to
> use different visualization tools to analyze distributions and correlations
> know and apply different ways to treat missing data
> apply classification and standardization methods
Prerequisites:
· Introductory knowledge of R, e.g. from Introduction to programming in R workshop, or from McGill's R summer camp.
· You need to bring your own laptop for this workshop. Install R and RStudio on your computer. You can find installation instructions here. Please contact us (cdsi.science [at] mcgill.ca) if you are having trouble with installation. Contact us if you would like to attend but it's impossible for you to bring a laptop to this workshop.
Registration
Registration for this workshop will start on February 15th. Sign up to get notified when registration opens.
