Developed a basic E-commerce Analysis web application using Python and Streamlit, utilizing datasets from Kaggle. This project focused on displaying key statistical insights, including data correlations and value distributions such as minimum, maximum, mean, and standard deviation. The interactive dashboard provided a user-friendly way to explore e-commerce data, helping users gain a deeper understanding of trends and relationships within the dataset.