The groupby() function in Spark SQL and DataFrames is used to group data based on one or more columns, allowing for aggregated calculations on those groups. This function is essential for performing operations like counting, summing, or averaging within specific segments of a dataset, making it a vital tool for data analysis and manipulation in Spark. By creating subsets of data that share common attributes, groupby() helps streamline complex queries and enhances the efficiency of data processing.
congrats on reading the definition of groupby(). now let's actually learn it.