Now You See It: Simple Visualization Techniques for Quantitative Analysis
| Author | : | |
| Rating | : | 4.78 (754 Votes) |
| Asin | : | 0970601980 |
| Format Type | : | paperback |
| Number of Pages | : | 329 Pages |
| Publish Date | : | 2015-10-01 |
| Language | : | English |
DESCRIPTION:
Stephen is recognized as a world leader in the field of data visualization and he has worked for 30 years as an information technology innovator, educator, and consultant. As the principal of the consultancy Perceptual Edge, he focuses on practical uses of data visualization to explore, analyze, and present quantitative information.. Stephen Few is the author of Now You See It: Simple Visualization Techniques for Quantitative Analysis&n
This is an excellent book. Highmark I'm only on page 53, starting chapter 4, but Stephen broke it down line by line. Literally! I am a Senior in college and I figured out why I struggle in college. It's not that I am stupid. The authors who write books write them with YEARS of experience (15, 20, 25, etc) under their belt. I guess they forgot the simple stuff. They never did teach ANYTHING about ways to improve our memory to aid in data analysis. Basically, here's some charts, study them, understand the material, and if you don't understand it, "you need to study. "Visualization Tools For Business Analytics" according to Rich Johnson. "Now You See It" is the latest book by author Stephen Few. The description says this book is a companion to "Show Me The Numbers," which is a favorite book of mine. "Show Me The Numbers" is about building charts and tables that will help you show others what you see in your data. "Now You See It" is about helping you to find new ways to display your data for your own analysis. Before you can show others your data you need to understand it yourself, and that's where this book fits in.Creating charts is front and center as the fo. Finding the Forest in the Trees John M. Ford Stephen Few introduces the visual analysis of data. He shows readers how to discover patterns in large data sets through clever arrangement, highlighting and filtering of data points. I encountered the book as the text in a four-week online class on visual data analysis. But it also works well as a standalone introduction to this area.The first half of the book has a different focus than I expected. Few suggests that "we've largely ignored the primary tool that makes information meaningful and useful: the human brain. While con
Now You See It: Simple Visualization Techniques for Quantitative Analysis teaches simple, practical means to explore and analyze quantitative data--techniques that rely primarily on using your eyes. This book features graphical techniques that can be applied to a broad range of software tools, including Microsoft Excel, because so many people have nothing else, but also more powerful visual analysis tools that can dramatically extend your analytical reach. Now You See It is not just for those with "analyst" in their titles, but for everyone who's interested in discovering the stories in their data that reveal their organization's performance and how it can be improved.. You'll learn to make sense of quantitative data by discerning the meaningful patterns, trends, relationships, and exceptions that measure your organization's performance, identify potential problems and opportunities, and reveal what will likely happen in the future
About the AuthorStephen Few is the author of Now You See It: Simple Visualization Techniques for Quantitative Analysis (2009), Show Me the Numbers: Designing Tables and Graphs to Enlighten, Second Edition (2012), Information Dashboard Design: Displaying Data for At-a-Glance Monitoring, Second Edition (2013), and Signal: Understanding What Matters in a World of Noise (2015). Stephen is recognized as a world leader in the field of data visualization and he has worked for 30 years as an information technology innovator, educator, and consultant. As the principal of the consultancy Perceptual Edge, he focuses on practical uses of data visualization to explore, analyze, and present quantitative information.