Data wrangling in R

Date: Friday, 21 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: As part of the data science life cycle series, this workshop will introduce you to R functions that help you to clean and manipulate your data sets. This so-called data wrangling often is the crucial step to prepare your data for your analyses. We will use tidyverse packages in this workshop.

At the end of this workshop, you will be able to:
     · import data sets using the readr package;
     · apply the most common dplyr and tidyr functions for data wrangling;
     · understand the principles of piping;
     · different methods to treat missing values.

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