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Mastering Tableau

Mastering Tableau

By : Jen Stirrup, Baldwin
4.4 (10)
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Mastering Tableau

Mastering Tableau

4.4 (10)
By: Jen Stirrup, Baldwin

Overview of this book

Tableau has emerged as one of the most popular Business Intelligence solutions in recent times, thanks to its powerful and interactive data visualization capabilities. This book will empower you to become a master in Tableau by exploiting the many new features introduced in Tableau 10.0. You will embark on this exciting journey by getting to know the valuable methods of utilizing advanced calculations to solve complex problems. These techniques include creative use of different types of calculations such as row-level, aggregate-level, and more. You will discover how almost any data visualization challenge can be met in Tableau by getting a proper understanding of the tool’s inner workings and creatively exploring possibilities. You’ll be armed with an arsenal of advanced chart types and techniques to enable you to efficiently and engagingly present information to a variety of audiences through the use of clear, efficient, and engaging dashboards. Explanations and examples of efficient and inefficient visualization techniques, well-designed and poorly designed dashboards, and compromise options when Tableau consumers will not embrace data visualization will build on your understanding of Tableau and how to use it efficiently. By the end of the book, you will be equipped with all the information you need to create effective dashboards and data visualization solutions using Tableau.
Table of Contents (14 chapters)
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Summary

R is often cited as the most popular statistical package. Indeed, it's more than a package; it is a development platform dedicated to advanced statistical analysis. As mentioned at the beginning of this chapter, according to the 2015 Gartner Report for Analytics and Business Intelligence, Tableau is the leading software solution in its space. Thus, the integration of R with Tableau is arguably a union of best-breed tools.

This chapter just scratched the surface regarding the options of working with R. Although we've covered architecture, workflow, installation, as well as some of the more popular R functions such as lm, cor, cluster, and quantile, there is much more to explore. In fact, the possibilities of Tableau R integration remain largely uncharted territory in the BI community. The intrepid in data visualization are pushing the envelope, but there's much to be done. For those readers looking to enhance their career options, expertise in both packages could open...

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