AmirhosseinHonardoust/Beyond-Charts-Interactive-Storytelling
A comprehensive guide and codebase for building interactive storytelling dashboards with Python, Streamlit, and Plotly. Learn how to transform static analytics into dynamic, user-driven data experiences that engage and inspire, featuring RFM segmentation, cohort analysis, and real-world insights.
This project helps business analysts and marketers transform raw e-commerce transaction data into dynamic, interactive dashboards. Instead of static reports, you can create engaging web applications that allow stakeholders to explore sales trends, customer behavior, and product performance using intuitive filters. This empowers users to answer their own questions and uncover deeper insights from data like orders, revenue, and customer IDs.
Use this if you want to move beyond static charts and build interactive data narratives that allow your audience to explore e-commerce data like sales, customer segments, and product performance on their own.
Not ideal if you need a plug-and-play solution with pre-built templates or if you are not comfortable writing Python code to build custom applications.
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MIT
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Last pushed
Nov 02, 2025
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