Academic journals increasingly require that researchers seeking publication supply their data and the code used for its analysis so others can reproduce their results. Therefore, researchers who visualize their data through charts, graphs, and tables must have ready-to-share code for these visualizations. Workshop participants will use R to create and format advanced data visualizations that they can embed in their research papers and share the code for when it's time to publish.

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*Example of Descriptive Statistics Table

*Figure of Correlation Plot

Learning Objectives:

• Use R code to create and save reproducible data visualizations.

• Apply advanced formatting code so data visualizations display features like data markers, color mapping, significance, and legends.

• Embed advanced data visualizations into a manuscript. 

Helpful Information:

• Install R (windows, mac)

• Install RStudio

• Install and load packages

• Basics of R

• RMarkdown

• To follow along hands-on during the workshop and/or use the software after the workshop: Request access to CCSS Cloud Computing resources 

Instructor: Samantha De Leon Sautu