Exploratory Data Analysis in R

Date: Friday, 28 October, 2022.
Time: 9:30 a.m. to 11:30 a.m.
Location: Hybrid; in person at Burnside Hall room 1104 (11th floor) and online via zoom
Instructor: Dr. Tim Elrick, Faculty Lecturer in the Faculty of Science.

Overview:

Exploratory Data Analysis (EDA) is used to perform 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
     > apply different pattern discovery tools (projection/dimensionality reduction and clustering)

Prerequisites:
      · Introductory knowledge of R, e.g. from McGill's R summer camp, or from our Introduction to programming with R workshop.