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Location
UM Bannatyne: Chown Building: Room 474, George & Fay Yee Centre for Healthcare Innovation
Address:
Please only register for this event if you are using tidyverse. Please contact the event organizers if you have any questions or concerns. Thank you!
Please note that previous introductory experience with R is required for this workshop.
Description:
Everyone has heard that “data analysis is 80% loading, cleaning, reshaping and otherwise preparing your data for analysis”. In this 3-day, hands-on workshop, you will learn more advance techniques that will make your data wrangling easier and more effective. Picking up where our Using R for Absolute Beginners ended, we will focus on effective techniques for preparing your data to be easy to analyse. Specific topics include wrangling data with missing values, calculating derived fields in your data, joining multiple pieces of data together.
Previous introductory experience with R is required for this workshop. To see our upcoming R for Absolute Beginners workshop, click here.
In-person sessions will be held from 9am to 12pm (CT) on Tuesday, May 23rd; Wednesday, May 24th and Friday, May 26th.
Please note, these workshops are in-person and will not be available virtually.
Objectives:
- Practice loading, cleaning and reshaping data originally collected and stored in .CSV and Excel files.
- Learn the basic principles of “tidy data” and how following these principles will make your data analysis work much easier.
- Write scripts for a basic data analysis project from beginning to end – load, clean, prep, summarize, plot, and analyze.
Cost:
$50.00 – Academic, $150 – Non-profit, $300 – Commercial
Contact Information:
For more information, please click here to email Yixiu Liu and Robert Balshaw.
Registration Cancellation Policy:
A registration refund will be made upon written request on or before May 19, 2023. A $35 administrative fee will be retained. No refunds will be made for cancellations after this date.
