Build an Interactive Sales Dashboard with Python and Streamlit
Published by John Oruebi Eniekpo in Data Analytics & BI
Businesses often store thousands of sales records in Excel or CSV files without an efficient way to monitor revenue, identify top-performing products, or compare regional performance. This tutorial shows you how to build an interactive sales dashboard using Python, Pandas, and Streamlit, with dynamic charts, business KPIs, data filters, and downloadable reports.
Build an Interactive Sales Dashboard with Python and Streamlit
Introduction: Turning Sales Data into Business Intelligence
Imagine managing a business with five regional offices, 20 products, and 10,000 monthly transactions.
Your sales team submits reports in CSV files, but management needs answers to important questions:
* What is the total revenue? * Which products generate the most sales? * Which region performs best? * How does revenue change over time?
Manually answering these questions can take hours.