Overview of this book

The Tableau Certified Data Analyst certification validates the essential skills needed to explore, analyze, and present data, propelling your career in data analytics. Whether you're a seasoned Tableau user or just starting out, this comprehensive resource is your roadmap to mastering Tableau and achieving certification success. The book begins by exploring the fundamentals of data analysis, from connecting to various data sources to transforming and cleaning data for meaningful insights. With practical exercises and realistic mock exams, you'll gain hands-on experience that reinforces your understanding of Tableau concepts and prepares you for the challenges of the certification exam. As you progress, expert guidance and clear explanations make it easy to navigate complex topics as each chapter builds upon the last, providing a seamless learning experience—from creating impactful visualizations to managing content on Tableau Cloud. Written by a team of experts, this Tableau book not only helps you pass the certification exam but also equips you with the skills and confidence needed to excel in your career. It is an indispensable resource for unlocking the full potential of Tableau.
Chapter 2: Transforming Data
Chapter 3: Calculations
Chapter 4: Grouping and Filtering
Chapter 5: Charts
Chapter 6: Dashboards
Chapter 7: Formatting
Chapter 8: Publishing and Managing Content
Chapter 9: Accessing the Online Practice Resources
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Area Chart

Area charts are very similar to line charts, except that the space between the line and the base of the axis is shaded in color, as shown in Figure 5.1. This is used to display changes over time and allows the stacking of multiple lines to show the breakdown of the value.

Figure 5.1: Example of an area chart

To build an area chart, you will need the following:

 Columns 1 Dimension Rows 1 Measure Marks Area

Table 5.1: Requirements to build an area chart

Here are the steps you need to follow to build an area chart:

1. Start by choosing dimensions and measures. For the chart shown in Figure 5.1, Superstore Data, Sales, Order Date, and Category were used.
2. Drag the dimension(s) that represents the categories or time intervals...