This is the code repository for Mastering ggplot2 [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
This course is a detailed exploration of the advanced data visualization concepts of ggplot2. It provides hands-on solutions to complex data visualization problems and allows you to thoroughly simplify the intricacies of visualizing your data using ggplot2
- Learn to create data visualizations layer by layer with ggplot2
- Learn how to customize the look and feel of plots in R with ggplot2
- Learn how to plot correlations, scatterplots, jitter plots, count charts, bubble plots, and histograms
- Learn to plot diverging bars, lollipop charts, dot plots, and area charts, and visualize deviations
- Visualize data distributions using various ggplot2 plots
- Visualize data composition using waffle charts, pie charts, treemaps, and bar charts
- Learn to plot changes in data using time series, stacked area, heat map, and more
To fully benefit from the coverage included in this course, you will need:
Basic knowledge of R and ggplot is assumed
Hardware Requirements:
- OS: Windows 7 or higher \ Mac OS X \ Linux (any modern flavor)
- Processor: Intel \ AMD
- Memory: 4GB
- Storage: 50 GB Free Space on the Hard Disk
Software Requirements:
- Browser: Chrome or Firefox
- R Studio, Latest Version
- ggplot2