Mastering ggplot2 [Video]

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.

About the Video Course

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

What You Will Learn

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

Instructions and Navigation

Assumed Knowledge

To fully benefit from the coverage included in this course, you will need:
Basic knowledge of R and ggplot is assumed

Technical Requirements

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

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