Advanced Analytics with R and Tableau: Advanced analytics using data classification, unsupervised learning and data visualization

Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of RAbout This Book* Comprehensive guide that will bring out the creativity inside you in visualizing the results of complex calculations using Tableau and R* Combine Tableau analytics and visualization with the power of R using this step-by-step guide* Wondering how R can be used with Tableau? This book is your one-stop solution.Who This Book Is ForThis 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.What you will learn* Integrate Tableaus analytics with the industry-standard, statistical prowess of R.* Make R function calls in Tableau, visualizing R functions with Tableau using RServe.* Use the CRISP-DM methodology to create a roadmap for analytics investigations.* Implement various supervised and unsupervised learning algorithms in R that return values to Tableau.* Get to grips with advanced calculations in R and Tableau for analytics and prediction with the help of use cases and hands-on examples.* Make 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 functionsIn DetailMoving 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.Together, Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. 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.

• | Author: Jen Stirrup
• | Publisher: Packt Publishing
• | Publication Date: Aug 23, 2017
• | Number of Pages: 178 pages
• | Language: English
• | Binding: Paperback
• | ISBN-10: 1786460114
• | ISBN-13: 9781786460110