Book Image

Tableau Desktop Certified Associate: Exam Guide

By : Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, Gleb Makarenko
Book Image

Tableau Desktop Certified Associate: Exam Guide

By: Dmitry Anoshin, JC Gillet, Fabian Peri, Radhika Biyani, Gleb Makarenko

Overview of this book

The Tableau Desktop Certified Associate exam measures your knowledge of Tableau Desktop and your ability to work with data and data visualization techniques. This book will help you to become well-versed in Tableau software and use its business intelligence (BI) features to solve BI and analytics challenges. With the help of this book, you'll explore the authors' success stories and their experience with Tableau. You'll start by understanding the importance of Tableau certification and the different certification exams, along with covering the exam format, Tableau basics, and best practices for preparing data for analysis and visualization. The book builds on your knowledge of advanced Tableau topics such as table calculations for solving problems. You'll learn to effectively visualize geographic data using vector maps. Later, you'll discover the analytics capabilities of Tableau by learning how to use features such as forecasting. Finally, you'll understand how to build and customize dashboards, while ensuring they convey information effectively. Every chapter has examples and tests to reinforce your learning, along with mock tests in the last section. By the end of this book, you'll be able to efficiently prepare for the certification exam with the help of mock tests, detailed explanations, and expert advice from the authors.
Table of Contents (15 chapters)
Free Chapter
1
Section 1: Getting Started with Tableau
3
Section 2: Answering Questions with Data
8
Section 3: Advanced Tableau
13
Mock Test A + B (Assessment)

Using background images to plot spatial data

There may be situations when spatial data is not enough to accurately plot data on the map. In such cases, we can also use background images as a background. While this option allows for the most flexibility in how to plot, it also requires the most effort in defining the boundary and point coordinates.

For example, say you wanted to plot the house plan of your house and have the following data:

Location

Location ID

X

Y

Size

Room 3

1

15

20

100

Room 1

2

15

50

100

Room 4

3

40

20

125

Room 5

4

40

50

125

Porch

5

60

40

60

You also have this screenshot:

We add the screenshot data as the data source. To test how the appropriate positions would look, create a scatter plot with unaggregated measures. For the preceding example, plotting the X and Y values, we get the...