Data Visualization and Cleaning with Pandas, Seaborn, and Matplotlib Analyzed donor data to identify trends and optimize strategies. Key Contributions: Cleaned and standardized data for reliable analysis. Created DonationCount feature for enhanced donor contribution analysis. Visualized donation trends, initiative focus, and payment preferences to guide marketing and operational strategies. Impact: Delivered insights that improved resource allocation and donor engagement.
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