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Advanced Analytics with R and Tableau (Paperback)
Loot Price: R1,133
Discovery Miles 11 330
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Advanced Analytics with R and Tableau (Paperback)
Expected to ship within 10 - 15 working days
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Leverage the power of advanced analytics and predictive modeling in
Tableau using the statistical powers of R About This Book * A
comprehensive guide that will bring out the creativity in you to
visualize 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 For
This 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 Tableau's analytics with the industry-standard,
statistical prowess of R. * Make R function calls in Tableau, and
visualize 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 to return values to Tableau. * 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 functions. In Detail Tableau 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. Style and approach Tableau (uniquely) offers
excellent visualization combined with advanced analytics; R is at
the pinnacle of statistical computational languages. When you want
to move from one view of data to another, backed up by complex
computations, the combination of R and Tableau makes the perfect
solution. This example-rich guide will teach you how to combine
these two to perform advanced analytics by integrating Tableau with
R and create beautiful data visualizations.
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