Author Description

Good research can only be impactful if the message gets across. Tables and graphs are essential for scientific communication, but those we see rarely meet their full design potential. To date, progress in data visualization has not resulted in specific guidance for biomedical science. This book aims to fill these gaps, using a hands-on, stepwise approach to make scientific tables and graphs that work. From design principles and basic forms to complex matrix graphs, high-impact publications and presentations. Richly illustrated and documented, its broad scope should appeal to both young and experienced investigators.