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Learning Tableau 2019

Learning Tableau 2019

By : Joshua N. Milligan
4.6 (7)
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Learning Tableau 2019

Learning Tableau 2019

4.6 (7)
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)
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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

Using background images

Background images allow you to plot data on top of any image. Consider the possibilities! You could plot ticket sales by seat on an image of a stadium, room occupancy on the floor plan of an office building, the number of errors by piece of equipment on a network diagram, or meteor impacts on the surface of the moon.

In this example, we'll plot the number of patients per month in various rooms in a hospital. We'll use two images of floorplans for the ground floor and second floor of the hospital. The data source is located in the Chapter 11 directory and is named Hospital.xlsx. It consists of two tabs: one for patient counts and another for room locations based on the x/y coordinates mapped to the images. We'll consider shortly how that works. You can view the completed example in the Chapter 11 Complete.twbx workbook or start from scratch...

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