Summary  
This chapter explains how to define and manage sets for grouping and filtering data based on Boolean conditions—covering static vs. dynamic sets, expression-based creation, and integrating them into visual elements.  

General domain of usage  
Interactive data visualization and analysis

The table below highlights the key features of sets in Tableau:

## Example: States with Negative Profit  

To illustrate the power of sets, we'll create a **set** for states with negative profit.  

Let's first create a bar chart of **profit by state**. Notice that some states have negative profits. To focus on these, you can select them by holding down the **Ctrl** key. 

Now, let's combine the selected states into a single set by right-clicking on the selection, choosing **Create > Set...**, and naming it **"Negatively Profitable States"**.

The set is now ready for use. In one of the following chapters, we’ll explore how to leverage it effectively. 

What is the main function of sets in Tableau?

This corse provides a comprehensive introduction to Tableau's core features, empowering learners to create impactful data visualizations and dashboards. We will cover essential topics such as working with charts, filters, calculated fields, and parameters, as well as advanced techniques like combining data and creating interactive dashboards. By the end, you will have the skills to transform raw data into actionable insights with ease and confidence.

This section lays the groundwork for mastering Tableau by guiding you through installation, navigation, and foundational operations. From performing joins and splitting columns to understanding filters, marks, and the data pane, you will be equipped with essential tools for data exploration and visualization. 

This section delves into Tableau's powerful tools for data organization, filtering, and customization. You'll learn to differentiate dimensions and measures, work with continuous and discrete fields, and create calculated fields and interactive dashboards. Through practical challenges, you'll apply these tools to analyze data, uncover insights, and enhance your visualizations.

This section focuses on creating impactful visualizations to uncover patterns and trends in your data. From heatmaps and scatter plots to treemaps and combination charts, you'll explore a variety of chart types tailored to different analytical needs.

This section introduces advanced visualization techniques to enhance data analysis and storytelling. You'll learn to create bullet graphs, stacked area charts, histograms, and box plots, enabling deeper insights into trends, distributions, and comparisons.

Working with Sets

Example: States with Negative Profit