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Master the Tidyverse 4: readr

Master the Tidyverse 4: readr Online

Have you been curious about R but hesitant to dive in? Would you like to develop reproducible code for processing, cleaning, and visualizing your data? Join us for a 60-minute introductory workshop about reading data into RStudio using the readr package. Readr is part of the tidyverse, a coherent system of packages for data manipulation, exploration, and visualization that share common design philosophy. The goal of readr is to provide a fast and friendly way to read rectangular data (like CSV, tsv, and fwf). It is designed to flexibly parse many types of data found in the wild while still cleanly failing when data unexpectedly changes—part 4 of a 6 part workshop series, Master the Tidyverse. While you do not need to have attended previous sessions to attend this workshop, please review the materials from the first three workshops to ensure that you will feel comfortable stepping into the sequence.

R is a free software environment for statistical computing and graphics which compiles and runs on a wide variety of computer platforms. It has become increasingly popular among researchers in many academic disciplines. R is the most widely used tool for reproducible research, enabling open access to reproducible science. After you register for this class, we will write to you with a Zoom link to be good for all workshops in this series.

Related LibGuide: Library Workshop Descriptions by Gabriele Hayden

Dates & Times:
12:00pm - 1:30pm, Friday, January 8, 2021
12:00pm - 1:30pm, Friday, January 15, 2021
12:00pm - 1:30pm, Friday, January 22, 2021
12:00pm - 1:30pm, Friday, January 29, 2021
12:00pm - 1:30pm, Friday, February 5, 2021
12:00pm - 1:30pm, Friday, February 12, 2021
Time Zone:
Pacific Time - US & Canada (change)
Categories:
  R     Workshop  
Online:
This is an online event. Event URL will be sent via registration email.

Registration is required. There are 32 seats available.

Event Organizer

Profile photo of Gabriele Hayden
Gabriele Hayden
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Data Services