Book Image

Tableau 10 Complete Reference

By : Joshua N. Milligan, Tristan Guillevin
Book Image

Tableau 10 Complete Reference

By: Joshua N. Milligan, Tristan Guillevin

Overview of this book

Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You’ll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau. This Learning Path includes content from the following Packt products: • Learning Tableau 10 - Second Edition by Joshua N. Milligan • Getting Started with Tableau 2018.x by Tristan Guillevin
Table of Contents (20 chapters)
Title Page
About Packt
Deeper Analysis - Trends, Clustering, Distributions, and Forecasting

Techniques for dealing with data structure issues

In some cases, restructuring data at the source is not an option. The source may be secured and read-only. Or you might not even have access to the original data and instead receive periodic dumps of data in a specific format. In such cases, there are techniques for dealing with structural issues once you have connected to the data in Tableau.

We'll consider some examples of data structure issues to demonstrate some techniques for handling those issues in Tableau. None of the solutions is the only right way to resolve the given issue. Often, there are several approaches that might work. Additionally, these are only examples of issues you might encounter. Take time to understand how the proposed solutions build on the foundational principles we've considered in previous chapters and how you can use similar techniques to solve your data issues.

Restructuring data in Tableau connections

The Excel workbook World Population Data.xlsx, included in...