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In this Code Club, Pat uses tools from the ggplot2 R packge to recreate a temperature index plot as bars using NASA's GISS data. This figure shows the deviation in annual global mean temperatures from the normalized temperatures of 1951 to 1980. The bars are colored according to the deviation from the average global temperature. He uses geom_col, scale_fill_gradient, scale_fill_gradient2, scale_fill_gradientn, scale_fillstepsn, and a smattering of arguments from the theme function. All of this is done in R with the help of RStudio. You can find my blog post for this episode at https://www.riffomonas.org/code_club/.... #ggplot2 #Rstudio #climatechange #R #Rstats 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. 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 Introduction 1:41 Creating initial bar plot 4:17 Labelling initial and final year 7:37 Reversing the color of the figure 8:10 Setting bar colors with scale_fill_gradient2 10:40 Setting bar colors with scale_fill_gradientn 12:16 Setting bar colors with scale_fill_stepsn 13:54 Adding a caption to the figure 18:36 Critique of figure