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  • Book
  • © 2017

Pro Tableau

A Step-by-Step Guide

Apress
  • Showcases the connectivity of tableau to different Big Data sources such as Hadoop and various NoSQL databases as well as to multi-dimensional data structures such as SSAS cube, PowerPivot etc
  • Our book will have in its scope the implementation of data mining algorithms such as association rule mining, clustering, etc. leveraging the integration of Tableau with R
  • Focuses on topics as required from a developer perspective and share industry best tips and techniques

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Softcover Book USD 84.99
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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxiii
  2. Introducing Visualization and Tableau

    • Seema Acharya, Subhashini Chellappan
    Pages 1-48
  3. Working with Single and Multiple Data Sources

    • Seema Acharya, Subhashini Chellappan
    Pages 49-120
  4. Simplifying and Sorting Your Data

    • Seema Acharya, Subhashini Chellappan
    Pages 121-236
  5. Measure Names and Measure Values

    • Seema Acharya, Subhashini Chellappan
    Pages 237-319
  6. Table Calculations

    • Seema Acharya, Subhashini Chellappan
    Pages 321-431
  7. Customizing Data

    • Seema Acharya, Subhashini Chellappan
    Pages 433-493
  8. Statistics

    • Seema Acharya, Subhashini Chellappan
    Pages 495-545
  9. Chart Forms

    • Seema Acharya, Subhashini Chellappan
    Pages 547-663
  10. Advanced Visualization

    • Seema Acharya, Subhashini Chellappan
    Pages 665-727
  11. Dashboard and Stories

    • Seema Acharya, Subhashini Chellappan
    Pages 729-793
  12. Integration of Tableau with R

    • Seema Acharya, Subhashini Chellappan
    Pages 795-833
  13. Back Matter

    Pages 835-845

About this book

Leverage the power of visualization in business intelligence and data science to make quicker and better decisions. Use statistics and data mining to make compelling and interactive dashboards. This book will help those familiar with Tableau software chart their journey to being a visualization expert.

Pro Tableau demonstrates the power of visual analytics and teaches you how to:

  • Connect to various data sources such as spreadsheets, text files, relational databases (Microsoft SQL Server, MySQL, etc.), non-relational databases (NoSQL such as MongoDB, Cassandra), R data files, etc.
  • Write your own custom SQL, etc.
  • Perform statistical analysis in Tableau using R
  • Use a multitude of charts (pie, bar, stacked bar, line, scatter plots, dual axis, histograms, heat maps, tree maps, highlight tables, box and whisker, etc.)

What you’ll learn

  • Connect to various data sources such as relational databases (Microsoft SQL Server, MySQL), non-relational databases (NoSQL such as MongoDB, Cassandra), write your own custom SQL, join and blend data sources, etc.
  • Leverage table calculations (moving average, year over year growth, LOD (Level of Detail), etc.
  • Integrate Tableau with R
  • Tell a compelling story with data by creating highly interactive dashboards

Who this book is for




All levels of IT professionals, from executives responsible for determining IT strategies to systems administrators, to data analysts, to decision makers responsible for driving strategic initiatives, etc. The book will help those familiar with Tableau software chart their journey to a visualization expert. 

Authors and Affiliations

  • Pune, India

    Seema Acharya

  • Bangalore, India

    Subhashini Chellappan

About the authors

Seema Acharya is a Lead Principal with the Education, Training and Assessment department of Infosys Limited. She is an educator by choice and vocation, and has rich experience in both academia and the software industry. She is also the author of the books, “Fundamentals of Business Analytics”, ISBN: 978-81-265-3203-2, publisher – Wiley India and “Big Data and Analytics”, ISBN: 9788126554782, publisher – Wiley India. She has co-authored a paper on “Collaborative Engineering Competency Development” for ASEE (American Society for Engineering Education). She holds the patent on “Method and system for automatically generating questions for a programming language”. Her areas of interest and expertise are centered on Business Intelligence, Big Data and Analytics technologies such as Data Warehousing, Data Mining, Data Analytics, Text Mining and Data Visualisation.

Subhashini Chellappan is a Software Engineering Team Lead with the talent division of Accenture. She has rich experience in both academia and the software industry.
She has published couple of papers in various Journals and Conferences.
Her areas of interest and expertise are centered on Business Intelligence, Big Data and Analytics technologies such as Hadoop, NoSQL Databases, Spark and Machine Learning.



Bibliographic Information

Buy it now

Buying options

eBook USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access