Data visualization best practice means designing with a firm understanding of the data and audience. A visualization should communicate an intended story, support appropriate conclusions, and avoid misleading interpretation. section 1.3
Before deploying a visualization, ask:
- Does the audience need explanation, and which conclusions can users draw while interacting with the project? section 1.3
- Does the visualization tell a coherent story rather than merely display data? section 1.3
- Is the chosen chart appropriate for the type of data being represented? section 1.3
Treat flexibility as a responsibility: visualizations can carry misinformation when they are not carefully designed from an informed perspective. Review established visualization practice to strengthen design decisions. section 1.3
Apply these principles to interactive and dynamic work as well as static charts. Even a few mouse-driven interactions can improve readability and invite users to explore rather than simply read. section 1.3
