Interactive Streamlit lab to explore, compare, and export Seaborn & Matplotlib visualizations.
A Python script to analyze sales performance using Pandas and Matplotlib. Loads, cleans, and visualizes sales data, calculating key metrics (total sales, average order value, unique customers) and generating trends (monthly sales, product category performance). Includes error handling for robust execution.
Examining the factors that have contributed to happiness in various countries over the past five years (2019-2023), with a particular focus on the impact of economic prosperity.
Web application for crime data analysis in Los Angeles, CA (2020 - early 2024)
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