Authored by Prof Kavitha Ranganathan, faculty in the Information Systems Area at IIMA. She has been teaching Data Visualization courses to MBA and doctoral students, analytics professionals and in a wide range of corporate training programs, for more than a decade now. She draws from this vast and rich experience for her book, which captures the main principles for avoiding misleading graphs and creating effective and intuitive visualizations.
With data all around us, there is scarcely a role that does not require us to understand, analyse and present it. Charts, graphs and maps are everywhere. However many of these data visuals leave the viewer bewildered, confused or (even worse) with an incorrect understanding of the data. In contrast, if designed well, data visualizations help us make sense of data and communicate our insights better.
Bringing her clear classroom teaching style (that has helped hundreds of data wranglers) to this book, Kavitha Ranganathan walks you through the myriad ways graphs can mislead, helping spot visualization traps and prevent misinterpretations. She illustrates core design principles for creating truthful, effective data visualizations, helping you master the art and science behind creating impactful and accurate graphs.
Packed with examples to clearly explain the dos and don’ts of data visualization and backed by empirical research, this book will transform the way you create and analyse graphs and charts.
