What type of data categorization can Bucket Groups provide?

Bucket Groups provide a way to categorize data into discrete values based on specific ranges. This is particularly useful for organizing data in a way that allows for better analysis and visualization, such as when grouping numerical values into defined intervals (e.g., sales figures into ranges like $0-$1000, $1001-$5000, etc.). This method enhances the ability to identify patterns and trends within the data by segmenting it into manageable and interpretable categories.

While forecasting trends, real-time data analysis, and aggregate historical data are valuable functions of data analytics, they do not specifically pertain to the categorization of data in the manner that Bucket Groups achieve through the use of ranges. Bucket Groups focus on the structuring and simplification of datasets by segmenting them into distinct groups, making them an essential tool for detailed analysis in situations where understanding distributions is key.