Data Visualization with ggplot2

The fifth and final video in a series on using R and RStudio.

0:00 Setup & Installation
3:25 Basic ggplot Format
10:47 Boxplot
15:12 Time Series
19:26 Integrating Pipes
23:08 Faceting
32:12 Customization
41:22 Arranging Plots
47:12 Exporting Plots

This series is based on the Data Carpentry R for Ecologists tutorial.
Michonneau et al. (2020). “datacarpentry/R-ecology-lesson: Data Carpentry: Data Analysis and Visualization in R for Ecologists, June 2019.” doi: 10.5281/zenodo.3264888, https://datacarpentry.org/R-ecology-l...

By the end of this tutorial you will be able to:
Produce scatter plots, boxplots, and time series plots using ggplot.
Set universal plot settings.
Describe what faceting is and apply faceting in ggplot.
Modify the aesthetics of an existing ggplot plot (including axis labels and color).
Build complex and customized plots from data in a data frame.