What function allows you to analyze differences in data over time in Power BI?

The concept of analyzing differences in data over time is encapsulated well in the idea of Time Series Analysis. This function enables users to examine how a particular dataset evolves over different periods, allowing for the identification of patterns, trends, and anomalies. Time Series Analysis often utilizes various techniques and methods to interpret temporal data, making it essential for understanding fluctuations or shifts in data metrics across time intervals.

While Comparative Analysis might suggest looking at differences, it generally focuses on comparing static points rather than tracking changes over continuous periods. DAX Functions, while powerful for data manipulation and creating calculated columns and measures within Power BI, are not specifically tailored for time-based analysis as a standalone approach. Trend Line Functionality can illustrate trends within a dataset, but it operates on the data presented in charts rather than providing comprehensive analysis capabilities like Time Series Analysis does. Thus, Time Series Analysis is the most appropriate choice for understanding changes in data over time in Power BI.