Data wrangling in R
Date: Friday, 21 October, 2022.
Time: 9:30 a.m. to 11:30 a.m.
Location: Hybrid; in person at room 1104 (11th floor) and online via zoom
Instructor: Dr. Tim Elrick, Faculty Lecturer in the Faculty of Science.
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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:
听听听听听路 import data sets using the readr package;
听听听听听路 apply the most common dplyr and tidyr functions for data wrangling;
听听听听听路 understand the principles of piping;
听听听听听路 different methods to treat missing values.
Prerequisites:
听听听听听 路 Introductory knowledge of R, e.g. from McGill's R summer camp, or from our Introduction to programming with R workshop.
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