Introduction
Visualizaing data in R
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What you need to know
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Using the exercise files
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1. Introducing ggplot2
Introducing ggplot2
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The Grammar of Graphics
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Loading datasets with read_csv
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Build your first visualization
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2. Geometry Types and Aesthetics
Scatterplots
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Lines and smoothers
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Bars and columns
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Histograms
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Boxplots
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3. Beautifying Your Visualizations
Modifying the background
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Working with axes
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Changing scales
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Cleaning up legends
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Annotating your visualization
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Adding titles
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Using themes
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4. Geospatial Visualizations
Visualizing data with maps
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Obtaining a Google Maps API key
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Working with map data
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Geocoding points
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Changing map types
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Plotting points on a map
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Building a map manually
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Creating a choropleth map
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5. Case Study: Colleges and Universities
Challenge intro
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Mapping colleges
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Adding institution size and control
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Zooming in on California
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Adding city names
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Cleaning the legends
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Adding titles
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Continuing Your ggplot Learning Journey
What's next? Additional resources and more
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Ex_Files_Data_Vis_in_R.zip
(40 KB)