Transformed wildfire data into SQL, leveraging Python, Pandas, and interactive JavaScript dashboards to uncover trends in wildfire frequency, damage, and economic impact (2008-2022).
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Updated
Sep 7, 2024 - Jupyter Notebook
Transformed wildfire data into SQL, leveraging Python, Pandas, and interactive JavaScript dashboards to uncover trends in wildfire frequency, damage, and economic impact (2008-2022).
In this project, I explore savings and investment behaviors to analyze trends and assess confidence in financial institutions. Through this analysis, I provide insights into the current financial landscape and offer recommendations for enhancing financial strategies.
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