Summary  
This chapter covers how to programmatically enrich data visualizations by adding trend lines, average/min/max lines, shading, and forecasting features to reveal insights and project future trends.

General domain of usage  
Business intelligence dashboards

Learn how to use the **Analyze** feature in Power BI to automatically uncover patterns and insights within your data. You will explore how to add **trend lines**, create **forecasts**, and include **statistical aggregations** in your visuals to identify trends and make data-driven decisions more efficiently. These tools help you enhance your reports with deeper analytical capabilities and clearer visual interpretations.


What does the Analyze feature in Power BI help you do?

Power BI is an essential tool for any aspiring data analyst or business professional. Learn how to transform raw data into insightful visualizations and interactive dashboards, connect to various data sources, and create compelling reports for informed decision-making.

Dive into the world of Power BI and build a solid foundation. You'll cover everything from installation and setup to connecting data sources and creating your first report.

Explore essential data preparation techniques, including cleaning, transforming, and combining multiple data sources. You'll also tackle handling missing values, data profiling, and various data manipulation methods.


Master the fundamentals of data modeling, from understanding data models and creating relationships to getting the hang of DAX basics. You'll also learn to create measures and calculated columns.


Discover various visualization techniques and customize visuals for better insights. You'll also explore advanced features like slicers, filters, and drill-down/drill-through capabilities to enhance your data analysis.


Boost the usability and storytelling power of your reports by using themes, configuring report pages, and leveraging advanced features like the Analyze feature and identifying outliers. You'll also create groups, bins, and clusters for deeper insights.


Analyzing Features

Analyzing Features