Crash Course in ggplot2 - A Beginners Guide to Visualizations in R

If you're just getting started in R, you've likely tried to visualize your data and come across the ggplot2 package. As a fan of the tidyverse myself (I use it for as much as possible), I realize ggplot2 can be confusing for those getting started.

In this video, I cover the basics of line graphs, bar plots, scatter plots, histograms, and boxplots in ggplot2 using flight data from NYC airports in 2013.

After we cover all of the plots, we give a brief treatment to setting various parameters such as axes labels, plot titles, legend titles, and changing the colors of the plot.

There's plenty left to cover in a topic as robust as using ggplot2 to visualize data in R, but this should give you a good start if you're brand new or have just stepped away for a bit.

Introduction/Data: 0:00
Line Graphs: 1:45
Scatter Plot: 5:05
Bar Plot: 8:54
Histograms: 12:51
Facet Wrap: 15:12
Boxplot: 16:51
Changing Axes Labels: 21:18
Plot Title: 21:40
Background Themes: 22:51
Legend: 23:45
Changing Bar Colors: 23:33
Saving Plots: 26:00
Wrapping Up: 27:41

[jandrew]

I highly recommend watching this at 1.25 speed. Other than that, it's a perfect video. Great balance between depth and getting straight to the point. Thank you 🤙🏽