You have a mound of data front of you & a suite of computation tools at your disposal Which parts of the data actually matter? Where is the insight hiding? If you're a data scientist trying to navigate the murky space between data & insight this practical book shows you how to make sense of your data through high-level questions well-defined data analysis tasks & visualizations to clarify understanding & gain insights along the way When incorporated into the process early & often iterative visualization can help you refine the questions you ask of your data Authors Danyel Fisher & Miriah Meyer provide detailed case studies that demonstrate how this process can evolve in the real world You'll learn The data counseling process for moving from general to more precise questions about your data & arriving at a working visualization The role that visual representations play in data discovery Common visualization types by the tasks they fulfill & the data they use Visualization techniques that use multiple views & interaction to support analysis of large complex data sets