Which of the following features in Power BI groups data points together?

The feature that effectively groups data points together in Power BI is "Groups and bins." This functionality allows users to categorize continuous numerical values into discrete groups, making it easier to analyze data trends or patterns. For instance, when you have a range of sales figures, using groups and bins can help you break down the data into intervals, such as sales ranges (e.g., $0-$100, $100-$200, etc.).

This grouping is particularly useful in visualizations where summarizing data can help identify trends or anomalies across different ranges. Additionally, it aids in simplifying complex data into more understandable segments, enhancing the overall readability of reports and dashboards. By allowing users to define their grouping criteria, this feature provides flexibility in data analysis and visualization.

The other options, while useful for specific analytical tasks, do not inherently group data points in the same manner. For example, the Analyze feature is designed to derive insights and identify trends but does not group data in a categorical sense. Quick Insights provides automated insights from data but does not organize data into groups. Time series analysis focuses on data over time but again does not involve the grouping process as described.