Book Image

Tableau Data Visualization Cookbook

By : Ashutosh Nandeshwar
Book Image

Tableau Data Visualization Cookbook

By: Ashutosh Nandeshwar

Overview of this book

<p>You know the feeling when you are asked to change or add a certain data point in your graph at the last minute. Usually, you have to scramble to complete the project and risk accuracy; this is not so with Tableau, however. Tableau is a revolutionary toolkit that lets you simply and effectively create high quality data visualizations.</p> <p>"Tableau Data Visualization Cookbook" will show you the exact steps required to generate simple to complex graphics. Whether they are pie charts or box plots, you can create such graphics with ease and confidence; no more searching for scripts or laborious Excel hacks. This book will help you make the most of Tableau and show you how to finish your projects quicker using this toolkit.<br />In this book you’ll start with getting your data into Tableau, move onto generating progressively complex graphics, and end with the finishing touches and packaging your work for distribution.</p> <p>This book is filled with practical recipes to help you create filled maps, use custom markers, add slider selectors, and create dashboards. You will learn how to manipulate data in various ways by applying various filters, logic, and calculating various aggregate measures. Then, we will create animated graphs and provide search box and drop-down selectors to users. This book will help you to create stunning graphics in very short amount of time.</p> <p>If you want to effortlessly create beautiful visualizations of data then "Tableau Data Visualization Cookbook" is for you!</p>
Table of Contents (16 chapters)
Tableau Data Visualization Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Chapter 1. Connecting to Data Sources

We will cover the following topics in this chapter:

  • Connecting to text files

  • Connecting to Excel files

  • Connecting to Access databases

  • Connecting to a SQL Server

  • Pasting from a clipboard

  • Connecting to other databases

  • Connecting to Windows Azure Marketplace

  • Understanding dimensions and measures

  • Changing data types

  • Applying filters

  • Merging multiple data sources