Analyzing Forest Fire Data

In this guided project, you will put together everything you’ve learned in this course to practice your data visualization skills and learn to use R notebooks as you explore forest fire data. Building on skills you’ve learned so far in our R path, you’ll create a data science portfolio project that you can show to employers to demonstrate proficiency in data visualization to ensure you’re sufficiently prepared to land your first job in data!

In this project, you will use data visualization techniques to explore data on forest fire occurrence. You will work through identifying variables related to forest fire severity as a premise for discovering why and where a forest fire might occur.

While completing the project, you will work with forest fire data from Portugal, but the principles and techniques you’ll put to use in this project could be applied to forest fire data from anywhere, and to many other kinds of exploratory data analysis projects.

To complete this project, we highly recommend downloading R and work with R Notebooks to work and follow along with the instructions.


  • Practice creating bar charts, box plots, scatter plots, and other data visualizations.
  • Build intuition around when to use different data visualization techniques.
  • Explore ways to use data visualization to answer questions about data.

Lesson Outline

  1. Exploring Data Through Visualizations: Independent Investigations
  2. The Importance of Forest Fire Data
  3. When Do Most Forest Fires Occur?
  4. Working With Factor Data
  5. Why Do Forest Fires Occur When They Do?
  6. What Variables Are Related To Forest Fire Severity?
  7. Deciding on Subsets of Data for Scatter Plots
  8. Next Steps

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