Overview
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Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R.
Syllabus
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Introduction
- Welcome
- What you need to know
- Using the exercise files
- Introducing ggplot2
- The grammar of graphics
- Loading data sets with read_csv
- Build your first visualization
- Scatterplots
- Lines and smoothers
- Bars and columns
- Histograms
- Box plots
- Modifying the background
- Working with axes
- Changing scales
- Cleaning up legends
- Annotating your visualization
- Adding titles
- Using themes
- Visualizing data with maps
- Obtaining a Google Maps API key
- Working with maps
- Geocoding points
- Changing map types
- Plotting points on a map
- Building a map manually
- Creating a choropleth map
- Challenge assignment
- Mapping colleges and universities
- Adding institution size and control
- Zooming in on California
- Adding city names
- Cleaning the legends
- Adding a title and subtitle
- What's next?
