Summary  
This chapter demonstrates how to define a custom sort order for categorical data and apply conditional formatting alongside built-in anomaly detection to automatically identify and highlight outliers in tabular and time-series visualizations.

General domain of usage  
Business intelligence dashboards

Let's find out how to detect anomalies in your data using a matrix with conditional formatting and the **Analyze** feature in Power BI:

What can you use to identify unusual patterns or outliers in your data in Power BI?

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.


Finding Anomalies

Awesome!

Finding Anomalies