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Data wrangling in R In-Person / Online
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.
· 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.
Instructor: Jake Lawlor, PhD student, Dept. of Biology, Faculty of Science, McGill.
IMPORTANT NOTE: for those attending the workshop online, you must log-into your McGill Zoom account. Otherwise, the link will not work. You can do so on the browser here: https://mcgill.zoom.us/ . For more information on McGill Zoom, please visit this website: https://www.mcgill.ca/tls/students/learning-resources/use-technology/learning-zoom
- Date:
- Tuesday, January 28, 2025
- Time:
- 10:00am - 12:00pm
- Location:
- Burnside 1104 (11th floor) (Map )
- Categories:
- Data Science R R