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This project visualizes historical automobile sales data using Python, Pandas, Matplotlib, Seaborn, and Dash. It provides interactive dashboards for analyzing trends, recession impacts, vehicle types, seasonality, and sales correlations, helping stakeholders make informed decisions
Automated ImageJ/Fiji and Python pipeline for quantifying PTBP1 and RRM2 domain subcellular localization from fluorescence microscopy images in heterokaryon assays.