He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships.Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan YauOffers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbersDetails tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and IllustratorContains numerous examples and descriptions of patterns and outliers and explains how to show themVisualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing. You can see the populations getting older as the distributions shift up. Each section provides plenty of examples and some good ideas. Sorry, your blog cannot share posts by email. It depends on what you want to see. Taking the difference between men and women populations by age, she highlighted whether there were more men or more women for various age groups over time. Thanks to the creative genius of Nathan Yau, we can. I particularly like that Yau urges his readers to clearly figure out what story they want to tell by visualizing data. You can write a book review and share your experiences. explains how to gather, parse, and format data and then design high quality graphics Wouldn?t it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? This accomplishes a few things: A question can give you a place to start when presented with a dataset, which can lead to more questions.
Robert Grant wants to improve his own ways of communicating. This accomplishes a few things: A different route that people take is to simply ask the data type sans context and then pick a fitting chart type. While working through the recent animated pyramid chart tutorial, I came across a chart showing the shrinking surplus of women in Germany by Lisa Charlotte Rost. Despite the tremendous attention, there are only a few good books about this topic in the market. Entering different parameters at the top, such as changing gender or age, causes the lines to shift to feature that demographic. geographical maps, and information design to find meaning in the numbers, Details No matter where I go, people are taking a huge interest in it. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Then I grew curious about other views for the same dataset. Instead, you can orient static histograms in the same direction to make it easier to compare. Thanks to the creative genius of Nathan Yau, is definitely a good book. Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing. do I use a line-chart to show the trend, or do I use a bar chart to show the variances? With this full-color book, data visualization guru and author Nathan Yau uses If you only care about whether there are more men or women, then you go for the first chart. It may take up to 1-5 minutes before you receive it. While the base of your charts and graphs will share many of the same properties – bars, slices, dots, and lines – the final design elements will and should vary by your unique dataset. Other readers will always be interested in your opinion of the books you've read.