Book Image

Learning Tableau 2019 - Third Edition

By : Joshua N. Milligan
Book Image

Learning Tableau 2019 - Third Edition

By: Joshua N. Milligan

Overview of this book

Tableau is the gold standard of business intelligence and visual analytics tools in every industry. It enables rapid data visualization and interpretation with charts, graphs, dashboards, and much more. Updated with the latest features of Tableau, this book takes you from the foundations of the Tableau 2019 paradigm through to advanced topics. This third edition of the bestselling guide by Tableau Zen Master, Joshua Milligan, will help you come to grips with updated features, such as set actions and transparent views. Beginning with installation, you'll create your first visualizations with Tableau and then explore practical examples and advanced techniques. You'll create bar charts, tree maps, scatterplots, time series, and a variety of other visualizations. Next, you'll discover techniques to overcome challenges presented by data structure and quality and engage in effective data storytelling and decision making with business critical information. Finally, you'll be introduced to Tableau Prep, and learn how to use it to integrate and shape data for analysis. By the end of this book, you will be equipped to leverage the powerful features of Tableau 2019 for decision making.
Table of Contents (18 chapters)
Free Chapter
1
Section 1: Tableau Foundations
5
Section 2: Leveraging the Full Power of Tableau
10
Digging Deeper - Trends, Clustering, Distributions, and Forecasting
11
Section 3: Data Prep and Structuring
14
Section 4: Advanced Techniques and Sharing with Others

Filtering data

Often, you will want to filter data in Tableau in order to perform an analysis on a subset of data, narrow your focus, or drill into detail. Tableau offers multiple ways to filter data.

If you want to limit the scope of your analysis to a subset of data, you can filter the data at the source using one of the following techniques:

  • Data Source Filters are applied before all other filters and are useful when you want to limit your analysis to a subset of data. These filters are applied before any other filters.
  • Extract Filters limit the data that is stored in an extract (.tde or .hyper). Data source filters are often converted into extract filters if they are present when you extract the data.
  • Custom SQL Filters can be accomplished using a live connection with custom SQL, which has a Tableau parameter in the WHERE clause. We'll examine parameters in Chapter...