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.

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Experimental

Based on the README, here's a technical summary: The project implements a **narrative pipeline architecture** combining Streamlit for reactive web UI, Plotly for fully-interactive visualizations (with native hover/zoom/filter), and Pandas for data transformation—enabling end-to-end control over logic unlike traditional BI tools. It demonstrates advanced analytics patterns including RFM segmentation, cohort retention analysis, and time-series decomposition on a synthetic e-commerce dataset, with sidebar filters that redefine visualization context in real-time as users explore. The dashboard prioritizes guided exploration through structured story chapters (overview → trends → breakdowns → behavior) rather than static metric displays.

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Maintenance 6 / 25
Adoption 6 / 25
Maturity 9 / 25
Community 0 / 25

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MIT

Last pushed

Nov 02, 2025

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