Advanced Analytics with R and Tableau:

bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics a...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
1. Verfasser: Stirrup, Jen (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Birmingham Packt Publishing Limited 2017
Ausgabe:1
Schlagworte:
Zusammenfassung:bLeverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R/bh2About This Book/h2ulliA comprehensive guide that will bring out the creativity in you to visualize the results of complex calculations using Tableau and R/liliCombine Tableau analytics and visualization with the power of R using this step-by-step guide/liliWondering how R can be used with Tableau? This book is your one-stop solution./li/ulh2Who This Book Is For/h2This book will appeal to Tableau users who want to go beyond the Tableau interface and deploy the full potential of Tableau, by using R to perform advanced analytics with Tableau.A basic familiarity with R is useful but not compulsory, as the book will start off with concrete examples of R and will move quickly into more advanced spheres of analytics using online data sources to support hands-on learning.
Those R developers who want to integrate R in Tableau will also benefit from this book.h2What You Will Learn/h2ulliIntegrate Tableau's analytics with the industry-standard, statistical prowess of R./liliMake R function calls in Tableau, and visualize R functions with Tableau using RServe./liliUse the CRISP-DM methodology to create a roadmap for analytics investigations./liliImplement various supervised and unsupervised learning algorithms in R to return values to Tableau./liliMake quick, cogent, and data-driven decisions for your business using advanced analytical techniques such as forecasting, predictions, association rules, clustering, classification, and other advanced Tableau/R calculated field functions./li/ulh2In Detail/h2Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation.Moving from data visualization into deeper,
more advanced analytics? This book will intensify data skills for data viz-savvy users who want to move into analytics and data science in order to enhance their businesses by harnessing the analytical power of R and the stunning visualization capabilities of Tableau. Readers will come across a wide range of machine learning algorithms and learn how descriptive, prescriptive, predictive, and visually appealing analytical solutions can be designed with R and Tableau. In order to maximize learning, hands-on examples will ease the transition from being a data-savvy user to a data analyst using sound statistical tools to perform advanced analytics.By the end of this book, you will get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.h2Style and approach/h2Tableau (uniquely) offers excellent visualization combined with advanced analytics; R is at the pinnacle of statistical computational languages.
Beschreibung:1 Online-Ressource (178 Seiten)
ISBN:9781786460240

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