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This lesson shows how to choose the appropriate graphic to represent your data
and research question, inspired by Choosing a good chart, and then
how to implement construction of the graphic using ggplot2.
Learners must understand basic data management and manipulation. They have likely worked with spreadsheets and interactive stats tools (SAS, R), are familiar with tabular data structure, filtering and summarizing data in groups, and basic statistics (mean, stdev, lm) to compare groups.
Learners should have some limited programming experience in R, including content from Lessons 00 - 04 of Data Carpentry's analyzing ecological data in R. This specifically includes how to load a CSV (
read.csv()), and basicdplyrfunction (filter(),summarize(), etc.)Learners must install R and download the gapminder data before class starts: please see the [setup instructions][setup] for details. {: .prereq}
[setup]: {{ site.baseurl }}/setup/