Banner for Data Visualization with R ( Intermediate Level ) - Change of date from 10 slash 26 to 11 slash 9 and change of location

Data Visualization with R (Intermediate Level)- Change of date from 10/26 to 11/9 and change of location

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Training/Workshop Programming Languages Research & Data Analysis

Thu, Nov 9, 2023

10 AM – 12 PM EST (GMT-5)

Private Location (sign in to display)

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Registration

Details

Want easier ways to make better graphs in R? This workshop is for researchers who have beginner-level experience with R’s ggplot2 package, but would like tools for creating more efficient workflows and improving the appearance of their visualizations. More specifically, this workshop will cover: (1) ggthemes - package that facilitates customization of plots made with ggplot2, (2) camcorder - package that ensures consistent sizing when exporting plots from R (no more meticulous work on an image, only to save it and discover everything looks off!), and (3) overview of options for including multiple plots in one image, often for publication

Time permitting, we may also cover how to make 3D plots, interactive plots, or animated videos.

Workshop format: Presentation and demo, with some optional interactive sections.

Target audience: This workshop is geared toward researchers who use R to create graphics.

Knowledge prerequisites: This workshop requires beginner-level experience using R’s ggplot2 package. If, for example, you’ve created a few of your own visualizations with ggplot2, or you’ve attended some sort of introductory workshop on ggplot2, this workshop is for you.

Hardware/software prerequisites:
This workshop will use the Adroit training cluster.
If you do not already have an account on Adroit, you should request one by filling out the following form *at least* two days before the workshop:
https://forms.rc.princeton.edu/registration/?q=adroit

Participants should ensure they have met these requirements in advance, as THERE WILL BE NO TECHNICAL TROUBLESHOOTING DURING THE WORKSHOP ITSELF!

Learning objectives: Participants will learn to use R packages that allow them to customize their graphs and create more efficient workflows in R.

Speakers

Carolina Roe-Raymond's profile photo

Carolina Roe-Raymond

Visualization Analyst

Princeton University

Carolina Roe-Raymond is a Visualization Analyst in Research Computing at Princeton University. As a Visualization Analyst, Carolina helps Princeton faculty, staff, and students explore and communicate their data through graphs, charts, and other visuals. Prior to her current position, Carolina created static and interactive data visualization applications for academic research groups. Carolina has a Ph.D. in Resource Ecology and Management, where she used visualizations created in R and GIS programs to advance research in urban bee ecology.

 

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