What types of filters are available in platform analytics?

The types of filters available in platform analytics are designed to help users refine their data analysis effectively. The correct answer identifies four distinct types of filters that serve unique purposes:

• Single select filters allow users to choose one option from a predefined list, making it ideal for situations where only one value is relevant at a time.

• Multi-select filters enable users to select multiple values from a list, which is useful for aggregating data from various categories or criteria.

• True/false filters are binary in nature and are particularly effective in scenarios where the data needs to be segmented based on a condition that returns a yes or no response.

• Date filters allow users to define specific time ranges or select individual dates, making it easy to analyze data based on time-dependent factors.

This combination of filters provides a robust toolkit for data manipulation and analysis, allowing users to tailor their queries to extract specific insights from complex datasets. By utilizing single select, multi-select, true/false, and date filters together, users can create comprehensive data views that reflect their analytical needs.