Your task is to create a bullet graph to compare the **Profit** from **2016** and **2017** across different categories.

1. Drag the **"Sub-Category"** field to the **Rows Shelf**.  
2. Drag the **"2017s Profit"** field (created in the previous chapter) to the **Columns Shelf**.  
3. Drag the **"2016s Profit"** field to the **Marks area** and place it under **"Detail"**.  
4. Add a **Reference Line**:  
   - Set the **Value** to **"2016s Profit"**;  
   - Set the **Aggregation** to **"Total, Per Cell"**.  
5. Customize the **Reference Line** by adjusting the **color** and **transparency** to make it more visible.  
6. Review the chart to identify categories with **negative "2017s Profit"** but **positive "2016s Profit"**. 

Which categories had a negative "2017s Profit" but a positive "2016s Profit"?

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.

Challenge: Analyzing Profit Changes Between 2016 and 2017