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Dashboards have become popular in recent years as uniquely powerful tools for communicating important information at a glance. Although dashboards are potentially powerful, this potential is rarely realized. The greatest display technology in the world won't solve this if you fail to use effective visual design. And if a dashboard fails to tell you precisely what you need to know in an instant, you'll never use it, even if it's filled with cute gauges, meters, and traffic lights. Don't let your investment in dashboard technology go to waste. This book will teach you the visual design skills you need to create dashboards that communicate clearly, rapidly, and compellingly. "Information Dashbo...
"Teaches simple, fundamental, and practical techniques that anyone can use to make sense of numbers." - cover.
Argues against the value of big data, suggesting that it is a marketing campaign that distracts from the real and important work of deriving value from data.
Information, no matter how important, cannot speak for itself. To tell its story, it relies on us to give it a clear voice. No information is more critical than quantitative data ... numbers that reveal what's happening, how our organizations are performing, and opportunities to do better. Numbers are usually presented in tables and graphs, but few are properly designed, resulting not only in poor communication, but at times in miscommunication. This is a travesty, because the skills needed to present quantitative information effectively are simple to learn. Good communication doesn't just happen; it is the result of good design.
Dashboards have become a popular means to present critical information for rapid monitoring, but few do this effectively. When designed well, dashboards engage the power of visual perception to communicate a dense collection of information efficiently, with exceptional clarity. This can only be achieved, however, by applying visual design skills that address the unique challenges of dashboards. These skills are not intuitive; they must be learned. The author teaches a comprehensive set of effective design practices through examples that reveal what works, what doesn't, and why.
Before you can present information to others, you must understand its story. Now You See It teaches the concepts, principles, and practices of visual data sensemaking. The skills taught in this book rely primarily on something that most of us possess--vision--interactively using graphs to find and examine the meaningful patterns and relationships that reside in quantitative data. Although some questions about quantitative data can only be answered using sophisticated statistical techniques, most can be answered using relatively simple visual data sensemaking skills. Until Now You See It was published, no book taught these basic skills comprehensively and in a way that was accessible to a broad audience. Even though these skills can be developed by anyone with eyes to see, they are not intuitive--they must be learned. Without these skills, even the best data visualization tools are of little use, and data will remain nothing but noise.
Contrary to popular myth, we do not yet live in the "Information Age." At best, we live the "Data Age," obsessed with the production, collection, storage, dissemination, and monetization of digital data. But data, in and of itself, isn't valuable. Data only becomes valuable when we make sense of it. We rely on "information professionals" to help us understand data, but most fail in their efforts. Why? Not because they lack intelligence or tools, but mostly because they lack the necessary skills. Most information professionals have been trained primarily in the use of data analysis tools (Tableau, PowerBI, Qlik, SAS, Excel, R, etc.), but even the best tools are only useful in the hands of ski...
Teaches the analytical skills necessary to glean value from the warehouses of accumulating data In this age of so-called Big Data, organizations are scrambling to implement new software and hardware to increase the amount of data they collect and store. However, in doing so they are unwittingly making it harder to find the needles of useful information in the rapidly growing mounds of hay. If you don't know how to differentiate signals from noise, adding more noise only makes things worse. When we rely on data for making decisions, how do we tell what qualifies as a signal and what is merely noise? In and of itself, data is neither. Assuming that data is accurate, it is merely a collection o...
Information visualization is a language. Like any language, it can be used for multiple purposes. A poem, a novel, and an essay all share the same language, but each one has its own set of rules. The same is true with information visualization: a product manager, statistician, and graphic designer each approach visualization from different perspectives. Data at Work was written with you, the spreadsheet user, in mind. This book will teach you how to think about and organize data in ways that directly relate to your work, using the skills you already have. In other words, you don’t need to be a graphic designer to create functional, elegant charts: this book will show you how. Although all ...