Visualize This 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. Visualize This 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.

With 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. Visualize This also provides you with opportunities to apply what you learn to your own data. This completely updated, full-color second edition:

Presents a unique approach to visualizing and telling stories with data, from data visualization expert Nathan Yau
Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design
Details 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
Contains numerous examples and descriptions of patterns and outliers and explains how to show them

Information 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.

� propos de l?auteur:

Nathan Yau earned his PhD in Statistics at UCLA. His goal is to make data available and useful to everyone, regardless of data background. He believes that visualization is the best way to do this. You can follow his data experiments at www.flowingdata.com.

Les informations fournies dans la section � A propos du livre � peuvent faire r�f�rence � une autre �dition de ce titre.

Description de la librairie

Kennys.ie is the largest exporter of books from Ireland currently exporting to approximately 100 countries around the world. Kennys Bookshop houses hundreds of thousands of books and specialises in collection development and library services, supplying booksellers and state and university libraries on a global scale including the U.S.A.,Japan and Europe. Kennys.ie is Ireland's Largest Online Bookshop.

Visitez la page d�accueil du vendeur