How do computeExpression and computeRelative transformations differ?

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The difference between computeExpression and computeRelative transformations lies in how they process data. ComputeExpression is designed to perform calculations based on the current row's values, allowing for manipulations and derivations that incorporate specific values from that row. This is useful for scenarios where you need calculations that rely solely on the current data point being analyzed.

On the other hand, computeRelative utilizes values from previous rows to perform calculations. This enables the transformation to create results that depend on historical data or trends over time, which is especially useful for running calculations like moving averages or rolling totals.

By understanding the distinction, you can effectively utilize these transformations based on the specific needs of your analytics tasks. Each serves a unique purpose in data analysis, making them integral tools in CRM Analytics. The other options do not accurately capture this fundamental aspect of how each transformation operates with row values versus previous values.

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