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This livestream event was originally recorded on August 29, 2023.
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Links/Timestamps from Video:
00:34 Pain point: Visualizations in SAS
04:54 Answer to the question: Why choose R over other programs for healthcare data visualizations?
05:40 Quick overview of architecture of R application – and how data visualizations fit in
07:48 Monika’s blog post on using base R (and other approaches) for box plots: https://buff.ly/3uK49fN
09:14 Dataframe structure for ggplot2 explained
12:58 Running basic ggplot2 plot and breaking down the code
17:44 Changing default colors in ggplot2 using a vector
20:02 Changing default plot colors to a palette inspired by nature!
22:03 Adding features to improve plot clarity, like error bars
25:36 Adding text to plot – calculated ones (like data labels), and annotations (free text)
29:30 Answer to the question: If you already use SAS for visualizations, why should you also learn R ggplot2?
31:15 Monika’s ggplot2 tips
33:30 Monika’s video on ggsave: • How to Use ggsave() to Export a Plot in R ...
36:55 Preview of Monika’s ggplot2 online resources