Visual analytics with Tableau
Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers. statisticians, business and sales professionals, data scientists, developers, and many others who need to explore insights and present visual, easy-t...
| Otros Autores: | |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Indianapolis :
John Wiley & Sons
2019.
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| Colección: | Wiley ebooks.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b40639757*spi |
| Sumario: | Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers. statisticians, business and sales professionals, data scientists, developers, and many others who need to explore insights and present visual, easy-to-understand data. [This book] is an accessible, step-by-step introduction to the world of visual analytics. This up-to-date guide is ideal for both beginners and more experienced users seeking a practical introduction to the fields of data analysis and visualization. Through hands-on examples and exercises, readers learn how to analyze their own data and clearly communicate the results. This guide covers everything you need to get started with Tableau, from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, clusters, and R, Python, and MATLAB integration for sophisticated statistical modelling. User-friendly instructions for existing options within the Tableau ecosystem--Tableau Desktop, Tableau Prep, Tableau Server, Tableau Online, and Tableau Public--enable you to integrate, clean, and prepare your data and share your work with others. [The book] covers the newest versions of Tableau 2018.3 and 2019.1 plus Tableau Prep, Tableau's brand-new data integration application; requires no background in mathematics nor any programming experience; focuses on the visual analytics functionality of Tableau rather than complex statistical programming; offers expert guidance from popular Tableau Germany employee and visualization expert Alexander Loth; discusses advanced Tableau functionality and working with different data structures; Provides easy-to-follow instructions, full-color illustrations, learning tools, online resources, and more.--Back cover of print version. |
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| Notas: | Incluye índice. |
| Descripción Física: | 1 recurso electrónico (xxvii, 254 p.) : il. col |
| Formato: | Forma de acceso: World Wide Web. |
| ISBN: | 9781119560227 9781119561996 9781119562030 |
