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Pat creates a ridgeline plot (aka a joy plot) using the ggridges R package to show the distribution of annual average temperature anomalies. As part of this episode he shows how to read data from a NetCDF file into R and flatten it into a tidy data frame using the data.table R package. He also makes use of tools from the dplyr, ggplot2, and other packages from the tidyverse. The data depicted are the average annual temperature anomalies by latitude and longitude using NASA's GISS data. 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 #ggridges #ridgeline #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 2:20 Getting and reading in NetCDF file 9:53 Converting 3D array to a tibble 13:20 Calculating average annual anomalies 15:26 Creating ridgeline plot of annual anomalies 20:31 Adjusting axis labels 22:34 Styling the ridgeline plot 27:18 Cleaning up data files