This workshop is an active learning "code-along" overview of visualization using the popular R package 'ggplot2'. This is an expansion and extension of the R plotting materials presented inData Carpentry, based around principles of data visualization featured inSurvival Skills 101: Data-driven Visualizations.

After this workshop, you should be able to use R's ggplot2 to:

• create multiple plot types that show both summaries and individual data points
• customize plot appearance for accessibility and efficiency (including changing font and line/point size and colors, adding summaries, and grouping categories)
• edit axis labels and legend titles and add annotations for clarity

请带着一台电脑RandRStudio(suggested) installed and R packages `ggplot2`, `RColorBrewer`, and `dplyr` installed.Prior experience coding in R is required.I.e., most of the code inchapters 1-4 in Data Carpentry with Rshould be familiar to you. Complete novices to R should attendData or Software Carpentryinstead. AttendingSurvival Skills 101: Data-driven Visualizationsbefore this workshop will enhance your learning experience but is not required. The curriculum and code from past workshops are available online athttps://osf.io/dbp9t/

Zoom will provide for automated closed captions. This workshop is online only and will not have a hybrid in-person option, but it will be offered as an in-person-only workshop in Fall 2022.

Registration is required to receive Zoom link!

Questions, comments, or concerns? Contact Claire Curry,cmcurry@ou.edu.

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