What type of analytics is performed with DAX in Power BI?

DAX, or Data Analysis Expressions, is primarily designed for performing custom calculations and data analysis within Power BI. It allows users to create new information from the data already in the model through calculated columns, measures, and calculated tables. DAX functions enable complex computations, aggregations, and filtering, catering to the specific analytical needs of users. This capability to create tailored analytical solutions makes it integral for building meaningful visualizations and reports in Power BI.

The other options represent different types of analytics that either fall outside the functionality provided by DAX or emphasize different aspects of data analysis. While real-time predictive analytics focuses on forecasting future trends based on real-time data, this is not something that DAX inherently offers, as it operates on data that typically must be pre-aggregated or pre-calculated. Statistical analysis involves techniques that may require significant historical data processing capabilities, which DAX simplifies but does not specialize in. Lastly, networking analytics pertains to performance measures within network systems and infrastructure, areas which DAX is not equipped to analyze. Hence, the core strength of DAX lies in its ability to facilitate custom calculations and data analysis directly within Power BI, affirming the accuracy of the provided answer.