Sankey Diagrams: Designing and Analyzing Data Flows

Visualizing how resources, energy, or users move through a system is critical for making data-driven decisions. Sankey diagrams are the gold standard for representing these complex flows, yet designing them to be clear and readable requires specific techniques. This text-based course guides you from the fundamental principles of flow visualization to creating your own Sankey diagrams. You will learn to map out inputs, nodes, and outputs, ensuring your data tells a compelling and accurate story. What you'll learn: - Understand the core anatomy of Sankey diagrams, including nodes, links, and flow weights. - Interpret complex flow data across energy, finance, and web analytics use cases. - Apply design best practices for color coding, node spacing, and visual hierarchy. - Avoid common pitfalls such as loops, mismatched totals, and overwhelming visual clutter. - Explore modern tools and libraries, including Python's Plotly, to programmatically generate diagrams. - Practice evaluating and refining diagrams through written analysis exercises. You will start with foundational definitions and historical context, progress to structural rules and design principles, and conclude with hands-on written walkthroughs for building and auditing diagrams. This course is designed for beginners, data analysts, and researchers looking to expand their visualization toolkit, with no prior design or programming experience required. Start reading today to master the art of flow-based data storytelling.