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LinkedIn Learning

Data Visualization in R with ggplot2

via LinkedIn Learning

Overview

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

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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4.8 rating at LinkedIn Learning based on 146 ratings

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