Data Visualization with Small Multiples in RAWGraphs

Comparing dense datasets can be overwhelming when crammed into a single chart, but small multiples offer a clean, elegant solution. By breaking your data into a grid of simplified charts, you allow readers to spot trends and patterns instantly. This text-based course guides you from the fundamental principles of information design to constructing your first small multiple visualizations. You will learn how to structure your data, select the right chart types, and use the open-source RAWGraphs tool to generate high-quality, presentation-ready visual grids. What you will learn: 1. Understand the core principles of small multiples and grid-based data visualization. 2. Prepare and clean raw datasets to ensure compatibility with modern visualization tools. 3. Navigate the RAWGraphs interface to upload data and map variables correctly. 4. Configure layout, scales, and axes to maintain consistency across all subplots. 5. Apply design best practices to avoid visual clutter and maximize readability. 6. Export finished visualizations in web-friendly formats for reports and presentations. The course begins with essential data visualization terminology and layout theory before walking you through step-by-step data mapping and customization workflows. Designed entirely for beginners, this course requires no prior design or programming experience. Start reading today to transform your complex datasets into clear, comparative visual stories.