PySpark Groupby : Use the Groupby() to Aggregate data
PySpark Groupby : We will see in this tutorial how to aggregate data with the Groupby function present in Spark. Introduction PySpark’s groupBy() function is used to aggregate identical data from a dataframe and then combine with aggregation functions. There are a multitude of aggregation functions that can be combined with a group by : count(): It returns the number of rows for each of the groups from group by.sum() : It returns the total number of values of each group.max() – Returns the maximum number of values for each group.min() – Returns the minimum value of values for each group.mean(): Returns the average…
