Effective Data Visualization: The Right Chart for the Right Data 2nd Edition

I had to buy this book for a graduate-level statistics course. I thought it was kinda silly at first, but it has been a great tool. It has beautiful graphics with fantastic step-by-step instructions and explanations on the whats and whys of tables and figures. I've made some great infographics with the help of this book. Highly recommend for anyone who ever has to present data in some form of fashion.

This book is a great resource. I need to manipulate data for work and present results in PowerPoint and didn’t have much experience. I’ve found this book very straightforward and well organized.

Has great infromation

This book will help you to know not only when to use a specific chart but how to create them in a very user friendly format. Great for data analysis professionals.

Practical guide to having an awesome dashboard

Good ideas, well written

I had the first edition of this book and was excited to see a 2nd edition come out. This one offers additional tips for Excel shortcuts and some great advice on dashboards. The full color version is nice although in some places in the book the color makes the pages seem a bit chaotic (which is odd since this book is about effective visualization - so maybe it's just me?) Still The tips in this book and the step-by-step details walk you through making some amazing charts that you didn't know you could do with Excel.I refer to this book at lot and have recommended it to many folks. In fact, our office just ordered a copy for use in our "technical library" and I'm hoping the data nerds around here take advantage of it. I have seensome really awful charts come from folks and at one point I thought it was a competition to see how many slices they could put in a pie chart - seriously. 58 slices!? The best pie chart is a bar chart. But, I digress.Stephanie Evergreen is well know for her experience in data visualization. She's done extensive research on the subject and it shows. If you really want to make effective charts that your audience will comprehend (and won't cause their eyes to bleed just looking at it) then get this book. You won't regret it!

Design, analytics, graphics and PowerPoint has conspired to create a need for a new data and visual language. This book is expertly written to support the vast majority of us who have to present data but are not visual designers. The book is organized into a series of communication needs / use cases that enable you to zero in and get support for your processing challenge.Here are the chapters, which provide you with some insight into the book’s coverage and structure.1. Our backbone, why we visualize2. When a single number is more important: showing mean, frequency, and measures of variability3. How two or more numbers are alike or different: visualizing comparisons4. How we are better or worse than a benchmark: displaying relative performance5. What the survey says showing liberty, ranking, check-all-that-apply, and more6. When there are parts of a whole, visualizing beyond the pie chart7. How this thing changes when that thing does: communicating correlation and regression8. When the words have the meaning: visualizing qualitative data9. How things change over time: depicting trends10. Reporting out: sharing your data with the world11. Its about more than the buttonsThe chapters explain the concepts, illustrate them and provides support on how to create them with tools like XL.Overall highly recommended as it is as insightful as Tufte and as practical as a support manual, but much better written.