Premium Project

Analyzing Forest Fire Data

For this project, we’ll step into the role of data analysts to explore a dataset on forest fires. Using R and data visualization techniques, we’ll analyze trends and factors related to fire occurrence and severity.

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4.8 (359 reviews)
366,013 learners enrolled in this project
  • Intermediate
  • Guided project
  • 8 steps
  • R
Joel Ampong

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Joel Ampong

Data Scientist

Analyzing Forest Fire Data

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Project overview

In this project, you’ll assume the role of a data analyst exploring a dataset on forest fires in Portugal. Forest fires can create ecological problems and endanger lives, so understanding their occurrence is crucial. You’ll apply your skills in R and data visualization to analyze trends and factors related to the timing and severity of fires.

This project allows you to expand your portfolio, demonstrating your ability to use data visualization techniques to explore real-world data and draw meaningful insights. You’ll identify relationships between variables and fire occurrence, strengthening your analytical skills.

Objective: Analyze forest fire data to understand trends and factors influencing fire occurrence and severity, enhancing your data visualization and analysis abilities for real-world applications.

Key skill required

To complete this project, it's recommended to build these foundational skills in R

  • Working with variables, data types, and data structures in R
  • Importing and manipulating data using R data frames
  • Identifying appropriate data visualizations for different analysis goals
  • Transforming and preparing data for visualization using R

Projects steps

Step 1: Exploring Data Through Visualizations: Independent Investigations

Step 2: The Importance of Forest Fire Data

Step 3: Data Processing

Step 4: When Do Most Forest Fires Occur?

Step 5: Plotting Other Variables Against Time

Step 6: Examining Forest Fire Severity

Step 7: Outlier Problems

Step 8: Next Steps

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