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The ggplot2 R package offers a lot of flexibility in representing color using discrete or continuous values as a gradient. In this episode of Code Club, Pat will use scale_color_manual, scale_color_gradient, and scale_color_gradient2 to customize the change in attitudes around receiving the COVID-19 vaccine. The data depict the percentage of people in 15 countries who would be willing to receive the COVID-19 vaccine as of August and October of 2020. Pat uses the #scale_color_manual, scale_color_gradient, and #scale_color_gradient2 functions from #ggplot2 and a variety of functions from the #dplyr, showtext, and ggtext packages in #RStudio. Nearly all of the concepts Pat talks about for color can also be used with fills using scale_fill_manual, scale_fill_gradient, and scale_fill_gradient2. The accompanying blog post can be found at https://www.riffomonas.org/code_club/.... Want more practice on the concepts covered in Code Club? You can sign up for my weekly newsletter at https://shop.riffomonas.org/youtube to get practice problems, tips, and insights. R: https://r-project.org RStudio: https://rstudio.com Workshops: https://www.mothur.org/wiki/workshops Here's a link for the chartr newsletter: https://www.chartr.co If you're interested in taking an upcoming 3 day R workshop be sure to check out our schedule at https://riffomonas.org/workshops/ You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ 0:00 Using ggrepel to separate text labels 1:06 Coloring lines by whether intent increased or decreased 4:07 Customizing the choice of colors 7:41 Coloring lines by level of intent 8:48 Customizing the color gradient 11:07 Imposing limits on the gradient range 14:25 Critique of figure