In data science, it’s not enough to be able to analyze data. You must also be able to create compelling visualizations to share your insights and help people understand your findings.
In this course, you’ll learn the ggplot2 package, a powerful data visualization library for R. You’ll also learn how to add and work with multiple plots in your code to show different visualizations. By the end of this course, you’ll be able to create visualizations such as line charts, bar plots, scatter plots, histograms, and box plots to help others understand your data.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, we’ll conclude with a guided data science project that uses real-world data about forest fires in Portugal.
- Visualizing changes over time using line graphs
- Understanding data distributions using histograms
- Comparing graphs using bar charts and box plots
- Understanding relationships between variables using scatter plots
Introduction to Data Visualization in R [5 lessons]
Projects in this course
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