Making Data Visual: A Practical Guide to Using Visualization for Insight

Which part of that data actually matters, and where is this insight hidden?If you’re a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It’s ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data.With this book, you’ll learn:Task analysis, driven by a series of leading questions that draw out the important aspects of the data to be exploredVisualization patterns, each of which take a different perspective on data and answer different questionsA taxonomy of visualizations for common data typesTechniques for gathering

Miriah Meyer is an assistant professor at the University of Utah, where she runs the Visualization Design Lab. Miriah has collaborated with experts in a broad range of fields, including biology, geography, and poetry. She earned a PhD from the University of Utah in 2008, and worked as a postdoctoral research fellow at Harvard University until 2011.. Her work focuses on designing visualizations for researchers and scholars that help them make sense of complex data

About the AuthorMiriah Meyer is an assistant professor at the University of Utah, where she runs the Visualization Design Lab. She earned a PhD from the University of Utah in 2008, and worked as a postdoctoral research fellow at Harvard University until 2011.. Miriah has collaborated with experts in a broad range of fields, including biology, geography, and poetry. Her work focuses on designing visualizations for researchers and scholars that help them make sense of complex data