Summary

Tableau’s visual environment allows a rapid and iterative process of exploring and analyzing data visually. You’ve taken your first steps toward understanding how to use the platform. You connected to data and then explored and analyzed the data using some key visualization types, such as bar charts, line charts, and geographic visualizations. Along the way, you focused on learning the techniques and understanding key concepts such as the difference between measures and dimensions and discrete and continuous fields. Finally, you put all of the pieces together to create a fully functional dashboard that allows an end user to understand your analysis and make discoveries of their own.

Congratulations! You’ve begun your journey with Tableau. The concepts we’ve covered are far more than theoretical. Dimensions and measures, discrete and continuous fields, sheets, dashboards, and stories – all the interface terminology; it all forms a solid foundation for understanding the Tableau paradigm. As you work through the rest of the book, come back to this chapter to review the concepts. They will become second nature and will help you every step of the way!

In the next chapter, we’ll explore how Tableau works with data. You will be exposed to fundamental concepts and practical examples of how to connect to various data sources. Combined with the key concepts you just learned about building visualizations, you will be well equipped to move on to more advanced visualizations, deeper analysis, and telling fully interactive data stories.

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