Motivation:

I gained the idea for this project because I live in Northern California, which has been plagued by wildfires every summer for the past several years. Through this data exploration and analysis, I am hoping to find out more about the causes, severity, and other factors concerning these fires. I am curious to see if there is some special factor that causes more fires in some years than others, and hope to discover more about the cause and effect as well. I have obtained my data from Kaggle as well as a Github repository that I found where some data visualizations were created concerning wildfires in the US.

Methods and Findings:

So far, for my first dataset, I have cleaned up the data by removing all the unnecessary columns (such as comments). I have created a few visuals like a correlation matrix and some bar graphs. But in doing so, I realized I didn't have data that gave me a good estimation of wildfire severity, so I found a second dataset that I have begun cleaning and exploring.

Data Visualizations:

Correlation Matrices:

Acres Burned Distribution:

Injury Distribution:

Structures Damaged per Year:

Cleaned Dataset:

https://docs.google.com/spreadsheets/d/1TGpSzRuodgJPqKuOdEiqg0-EOYB4Fb6NBSL2AkO5tQA/edit?usp=sharing https://docs.google.com/spreadsheets/d/1fmUuh2e8-4xpa-TVr9iUOtnPmR6R3XU2ARLZ4weayQk/edit?usp=sharing

Project Members: