Video Description
In this course, Kara Woo teaches you how to create great looking, insightful data visualizations using the R package ggplot2. Designed for researchers, data journalists, and budding data scientists with basic R knowledge (i.e., how to install packages, read data, perform simple data manipulations), this video covers the principles of data visualization and the specifics of how to use ggplot2 to create and customize a variety of visualizations.
After completing the course you'll have a thorough understanding of ggplot2 and a basic comprehension of visualization allowing you to work with the advanced tools required on complex projects and interactive visualizations.
- Master the principles of data visualization and their use in ggplot2's grammar of graphics
- Review data variable types and the kinds of visualizations that make sense for each data type
- Explore basic plots, trellis plots, scatter plots, and how to view data distributions
- Learn to customize axis scales, color scales, and other aspects of plot appearance
- Discover ways to add complexity to visualizations using color, shapes, and themes
Table of Contents
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Introduction
- Introduction 00:01:24
- About The Author 00:01:02
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Data Visualization Principles
- What Is A Data Visualization And Why Do We Visualize Data? 00:02:40
- Types Of Variables And Encodings 00:03:35
- Choosing Effective Visual Encodings 00:03:30
- Color 00:03:08
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Introduction To Visualization In ggplot2
- Getting Set Up With ggplot2 00:03:34
- ggplot2's Grammar Of Graphics 00:03:30
- Tidy Data And Data Manipulation 00:04:37
- Basic Plots 00:05:51
- Viewing Data Distributions 00:03:52
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Adding Complexity To Visualizations
- Additional Visual Encodings: Color, Shape, And Size 00:02:24
- Small Multiples 00:02:59
- Smoothing Functions 00:03:11
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Customizing Your Plots
- Axis Scales 00:03:06
- Alternate Color Scales 00:03:11
- Themes 00:03:14
- Customizing Titles, Axis Labels, And Legends 00:03:50
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Conclusion
- Conclusion 00:01:37