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Conversion Flow Exploration (Python)

Purpose

This project explores how to analyze conversion data using Python and visualize user flows through funnels and Sankey diagrams.

The goal is to:

  • Model linear and branching user journeys
  • Calculate step-to-step and cumulative conversion
  • Visualize drop-offs and outcomes clearly
  • Experiment with different visual representations to better reason about product flows

The work is intentionally exploratory and focused on learning, iteration, and clarity rather than building a polished library.

What’s inside

  • Conversion calculations from simple funnel tables
  • Transformation of linear funnels into source → target flow data
  • Funnel-style visualizations
  • Sankey diagrams for branching user paths
  • Styling and layout experiments to improve readability and storytelling

Tooling

  • Python
  • Pandas
  • Matplotlib (for funnel-style charts)
  • Plotly (for Sankey diagrams)

Collaboration & Attribution

  • The Python code in this repository was pair programmed using ChatGPT 5.2
  • This README file was created with ChatGPT 5.2

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An experiment to create conversion diagrams and get PM insights using python

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