{"product_id":"visualize-this-the-flowingdata-guide-design-visualization-statistics-nathan-yau","title":"Visualize This The FlowingData Guide Design Visualization Statistics by Nathan Yau","description":"\u003cp style=\"box-sizing: border-box; padding: 0px; margin: 0px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003cspan class=\"a-text-bold\" style=\"box-sizing: border-box; font-weight: 700 !important;\"\u003eOne of the most influential data visualization books―updated with new techniques, technologies, and examples\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; font-style: italic !important;\"\u003eVisualize This\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e demonstrates how to explain data visually, so that you can present and communicate information in a way that is appealing and easy to understand. Today, there is a continuous flow of data available to answer almost any question. Thoughtful charts, maps, and analysis can help us make sense of this data. But the data does not speak for itself. As leading data expert Nathan Yau explains in this book, graphics provide little value unless they are built upon a firm understanding of the data behind them. \u003c\/span\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; font-style: italic !important;\"\u003eVisualize This\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e teaches you a data-first approach from a practical point of view. You'll start by exploring what your data has to say, and then you'll design visualizations that are both remarkable and meaningful.\u003c\/span\u003e\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003cspan style=\"box-sizing: border-box;\"\u003eWith this book, you'll discover what tools are available to you without becoming overwhelmed with options. You'll be exposed to a variety of software and code and jump right into real-world datasets so that you can learn visualization by doing. You'll learn to ask and answer questions with data, so that you can make charts that are both beautiful and useful. \u003c\/span\u003e\u003cspan class=\"a-text-italic\" style=\"box-sizing: border-box; font-style: italic !important;\"\u003eVisualize This\u003c\/span\u003e\u003cspan style=\"box-sizing: border-box;\"\u003e also provides you with opportunities to apply what you learn to your own data. This completely updated, full-color second edition:\u003c\/span\u003e\u003c\/p\u003e\u003cul class=\"a-unordered-list a-vertical\" style=\"box-sizing: border-box; margin: 0px 0px 0px 18px; color: rgb(15, 17, 17); padding: 0px; font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003ePresents a unique approach to visualizing and telling stories with data, from data visualization expert Nathan Yau\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003eOffers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003eDetails tools that can be used to visualize data graphics for reports, presentations, and stories, for the web or for print, with major updates for the latest R packages, Python libraries, JavaScript libraries, illustration software, and point-and-click applications\u003c\/span\u003e\u003c\/li\u003e\n\u003cli style=\"box-sizing: border-box; list-style: disc; overflow-wrap: break-word; margin: 0px;\"\u003e\u003cspan class=\"a-list-item\" style=\"box-sizing: border-box;\"\u003eContains numerous examples and descriptions of patterns and outliers and explains how to show them\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: -4px 0px 14px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003c\/p\u003e\u003cp style=\"box-sizing: border-box; padding: 0px; margin: -4px 0px 0px; color: rgb(15, 17, 17); font-family: \" amazon ember arial sans-serif font-size:=\"\"\u003e\u003cspan style=\"box-sizing: border-box;\"\u003eInformation designers, analysts, journalists, statisticians, data scientists―as well as anyone studying for careers in these fields―will gain a valuable background in the concepts and techniques of data visualization, thanks to this legendary book.\u003c\/span\u003e\u003c\/p\u003e","brand":"Pearl Press","offers":[{"title":"Default Title","offer_id":46285958054085,"sku":"D10526002","price":53.95,"currency_code":"AUD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0685\/7660\/8453\/files\/57_4976e41a-8b50-40e0-814b-e48d0460c173.jpg?v=1779964754","url":"https:\/\/pearlpress.com.au\/products\/visualize-this-the-flowingdata-guide-design-visualization-statistics-nathan-yau","provider":"Pearl Press","version":"1.0","type":"link"}