Which feature allows filtering based on time in new pivots?

The feature that allows filtering based on time in new pivots is the time range filter. This feature is essential for users who need to analyze data only from specific time periods, enabling them to focus on relevant data sets and insights. By applying a time range filter, users can specify a start and end date, which ensures that only the data that falls within that timeframe is included in the pivot analysis. This capability is crucial for trend analysis, reporting, and understanding changes over time, making it a powerful tool for data analysis in Splunk.

Other options, while valuable, do not specifically address the requirement to filter data solely based on time. Custom date logic might allow for personalized date criteria but does not inherently function as a filter for existing data. Data segmentation relates more to how data can be categorized rather than focusing on temporal constraints. Dynamic date selection could involve setting date selections that update based on user input but does not directly reference the time-based filtering aspect central to this question. Thus, the time range filter stands out as the feature tailored for time-based analysis in new pivots.