Make sure you have the following software installed:
Once you have R and Rstudio installed, open Rstudio and run the following code:
install.packages(c("ggplot2", "plyr", "reshape2", "stringr", "lubridate"))
You can check everything is installed correctly by running:
library(ggplot2)
qplot(mpg, wt, data = mtcars)
Introductions and course outline.
Create informative scatterplots: add extra variables with aesthetics (like color, shape and size) or facetting.
Create graphics for large data: histograms and bar charts for displaying distributional summaries; boxplots; scatterplots variations that overcome the over-plotting problems associated with large data.
Learn how to get data into and our of R.
Basic tools for manipulation data: subsetting, transforming, summarising and re-arranging. Group-wise variants.
Basic techniques for visualising data that has time and or space components. Merging/joining data
Polish your plots: tweak your plots for maximum presentation impact; introduction to color theory; labels, legends and axes; tweaking the plot themes.
What is tidy data, why it’s useful and how to make messy data tidy
Models as tools, linear models, removing group means