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|a 1119560225
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| 100 |
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|a Loth, Alexander
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| 245 |
0 |
0 |
|a Visual analytics with Tableau
|c Alexander Loth ; [forewords by Nate Vogel, Sophie Sparkes]
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| 260 |
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|a Indianapolis
|b John Wiley & Sons
|c 2019
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| 300 |
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|a xxvii, 254 pages
|b color illustrations
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| 505 |
0 |
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|a Foreword / by Nate Vogel -- Foreword / by Sophie Sparkes -- Introduction and getting started with Tableau -- Adding data sources in Tableau -- Creating data visualizations -- Aggregate functions, calculated fields, and parameters -- Table calculations and level of detail calculations -- Maps -- Advanced analytics : trends, forecasts, clusters, and other statistical tools -- Interactive dashboards -- Sharing insights with colleagues and the world -- Data preparation with Tableau Prep
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| 653 |
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|a Visual analytics / Computer programs
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| 653 |
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|a Tableau (Computer file) / fast
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| 653 |
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|a Tableau (Computer file) / http://id.loc.gov/authorities/names/n2014079610
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| 653 |
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|a Analyse visuelle / Logiciels
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| 653 |
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|a Information visualization / Computer programs
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| 653 |
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|a Visualisation de l'information / Logiciels
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| 653 |
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|a REFERENCE / Questions & Answers / bisacsh
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| 653 |
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|a Information visualization / Computer programs / fast
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| 653 |
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|a Visual analytics / Computer programs / fast
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| 700 |
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|a Vogel, Nate
|e writer of foreword
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|a Sparkes, Sophie
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|a eng
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Includes index
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|x Verlag
|3 Volltext
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|a 700
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| 520 |
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|a "A four-color journey through a complete Tableau visualization 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 leadership, and many other job roles to present data visually for easy understanding, it's no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. * Learn the different types of charts you can create * Use aggregation, calculated fields, and parameters * Create insightful maps * Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away."--
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| 520 |
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|a 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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