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Data Bloom: Data Visualization with R

Data Bloom: Data Visualization with R Online

Want to show what happened on the Titanic? Join the UR Libraries for an exciting workshop on creating visualizations using R in RStudio (a free, open-source tool). Starting from basics and going up to intermediate-level skills, participants will learn how to create visualizations using both default R and ggplot2, explore programming in R Script and R Markdown, and get tips for further sprucing up the plots with Adobe Illustrator. Please note, this workshop is structured for beginners, but does include more intermediate-level skills which would be useful for more experienced programmers. All are welcome and questions are encouraged.

This workshop is part of the Data Bloom Workshop Series, run by the Data Services Team. Please visit our webpage to learn about our other offerings. Participants are encouraged to download RStudio before the workshop begins (instructions below). We will use the Titanic dataset, which is part of the “titanic” R package.

Use the following links to install R and RStudio on your machines. Important: you need to download both for RStudio to work. If you have R on your machines but haven’t used it in a while, we strongly recommend updating to the latest versions.

Visit https://cran.r-project.org/ for R.

Visit https://posit.co/download/rstudio-desktop/ for RStudio Desktop.

Please register for the workshop in order to receive the zoom link. 

Related LibGuide: Data Bloom by Sarah Siddiqui

Date:
Wednesday, October 23, 2024
Time:
1:00pm - 2:30pm
Time Zone:
Eastern Time - US & Canada (change)
Location:
Online/Zoom
Online:
This is an online event. Event URL will be sent via registration email.
Audience:
  Faculty or Staff     General Public     Graduate students or Postdocs     Other     Undergraduate students  
Categories:
  Data Bloom: Blossoming Data Visualizations  
Registration has closed.

Event Organizer

Profile photo of Sarah Siddiqui
Sarah Siddiqui

Reproducibility Librarian

Profile photo of Heather Owen
Heather Owen

Data Librarian