In this project, I performed a comprehensive Exploratory Data Analysis (EDA) on a COVID-19 dataset using Python libraries such as Pandas, NumPy, Matplotlib, Seaborn, and Plotly. The analysis aimed to uncover meaningful insights and answer key questions related to the spread, impact, and trends of the pandemic across different countries and regions. The project involved data cleaning, transformation, visualization, and statistical exploration to provide a deep understanding of the dataset and its patterns.