Summary  
This chapter covers creating scatter plots by mapping two numeric fields to the X and Y axes and customizing data points’ labels, colors, and sizes to analyze correlations, trends, and outliers.

General domain of usage  
Business analytics

 A **scatter plot** in Tableau visually represents the relationship between two **numeric fields**. Each point on the chart corresponds to a combination of values from these fields, allowing you to analyze correlations, trends, and outliers effectively.  


Here are the key features of scatter plots:



## Why Scatter Plots?  

Scatter plots are particularly useful for:  
- Analyzing the correlation between two measures (e.g., **Sales** vs. **Profit**);  
- Identifying outliers and trends within your data;  
- Gaining deeper insights by incorporating additional fields for color and size coding.   

What do the X and Y axes in a scatter plot represent?

This streamlined beginner course focuses on the essential Tableau skills needed for business intelligence: connecting data sources, working with dimensions and measures, creating interactive visualizations, designing dashboards, and sharing insights. Each chapter includes practical tasks and projects for hands-on learning.