BrandonMushaz/Yango-Data-Analytics-with-python

# Yango-Data-Analytics-with-python Data Analytics System:Case for Yango Drive Namibia A data-driven web system designed to optimize operations and maximize profits for Yango Drive Namibia. Combines Jupyter Notebook analytics with a PHP/HTML front-end, offering user/admin dashboards, login functionality, and simulated data insights on trips, revenue, and route performance. Note: Dataset used is simulated to enable analysis and support data-driven decision-making in the absence of official data. This project was carried out as part of my System Development Project and showcases how data analytics can improve decision-making in ride-hailing operations. Features Admin and user login system Interactive data visualizations and analytics Dashboard with route performance, revenue per km, and peak hour insights HTML/PHP frontend integrated with Python-generated insights Simulated dataset processing in Jupyter Notebook Tech Stack Python (Pandas, Matplotlib) for analytics Jupyter Notebook for data exploration PHP & HTML/CSS for front-end and backend integration MySQL for user data storage XAMPP for local hosting 🎯 Purpose To demonstrate the potential of using simulated data and analytics tools for solving real-world business challenges—specifically in transport and logistics sectors in Namibia.