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I want to calculate the frequency distribution(return most common element in each column and the number of times it appeared) of a dataframe using spark and scala. I've tried using DataFrameStatFunctions library but after I filter my dataframe for only numeric type columns, I cant apply any functions from the library. Is the best way to do this to create a UDF?

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you can use val newDF = df.groupBy("columnName").count() newDF.show()

it will show you the frequency count for unique entries.

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