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LinkedIn Learning

Data Visualization in R with ggplot2

via LinkedIn Learning

Overview

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

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.

Syllabus

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?

Taught by

Mike Chapple

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