Data Visualization in R with ggplot2

Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R.

Introduction

• Welcome
• What you need to know
• Using the exercise files

1. Introducing ggplot2

• Introducing ggplot2
• The grammar of graphics
• Loading data sets with read_csv
• Build your first visualization

2. Geometry Types and Aesthetics

• Scatterplots
• Lines and smoothers
• Bars and columns
• Histograms
• Box plots

3. Beautifying Your Visualizations

• Modifying the background
• Working with axes
• Changing scales
• Cleaning up legends
• Annotating your visualization
• Adding titles
• Using themes

4. Geospatial Visualizations

• 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

5. Case Study: Colleges and Universities

• 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

Conclusion

• What's next?