Data Visualization in R with ggplot2 (2018)

2h 27mIntermediate2018-04-11

Authors

Mike Chapple

Teaching Professor at the University of Notre Dame

Course details

Discover how to create informative and visually appealing data visualizations using ggplot2, the leading visualization package for R. In this course, Mike Chapple shows how to work with ggplot2 to create basic visualizations, how to beautify those visualizations by applying different aesthetics, and how to visualize data with maps. Throughout the course, Mike also covers key concepts such as the grammar of graphics and how to apply different geometries to visualize data. To wrap up, he shares a case study that lends a practical context to the concepts covered in the course.

Learning objectives
Building visualizations
Applying different geometries to visualize data
Applying aesthetic mappings to geometries
Beautifying visualizations to prepare them for publication
Visualizing data with maps
Annotating a visualization
Plotting points on a map
Creating a choropleth map

Skills covered

RStudioRStatisticsData VisualizationProgramming LanguagesData ScienceBusiness Analysis and StrategyBusiness Software and ToolsOpen SourceSoftware DevelopmentOne-Off

Concepts

0. Introduction

01 - Welcome
02 - What you need to know
03 - Using the exercise files

1. Introducing ggplot2

04 - Introducing ggplot2
05 - The grammar of graphics
06 - Loading data sets with read csv
07 - Build your first visualization

2. Geometry Types and Aesthetics

08 - Scatterplots
09 - Lines and smoothers
10 - Bars and columns
11 - Histograms
12 - Box plots

3. Beautifying Your Visualizations

13 - Modifying the background
14 - Working with axes
15 - Changing scales
16 - Cleaning up legends
17 - Annotating your visualization
18 - Adding titles
19 - Using themes

4. Geospatial Visualizations

20 - Visualizing data with maps
21 - Obtaining a Google Maps API key
22 - Working with maps
23 - Geocoding points
24 - Changing map types
25 - Plotting points on a map
26 - Building a map manually
27 - Creating a choropleth map

5. Case Study - Colleges and Universities

28 - Challenge assignment
29 - Mapping colleges and universities
30 - Adding institution size and control
31 - Zooming in on California
32 - Adding city names
33 - Cleaning the legends
34 - Adding a title and subtitle

Conclusion

35 - What's next