Define a function called merge$\_$tables that takes a year and a dataset consisting of several tables such as baseball$\_$data as input and outputs a single dataframe that has been merged using pandas.merge and filtered by year using filter$\_$by$\_$year. Pay close attention to columns that have the same names but different values, and use suffixes to indicate the table each column originally came from. Remove columns containing duplicate data prior to returning the dataframe. Apply merge$\_$tables to baseball$\_$data for the year $2008,$ and print the first five rows of the dataframe.

Preset Code, please do not add any code above the function, or modify any of the preset code :

def merge$\_$tables$($baseball$\_$data, year$)$:

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merged $=$ merge$\_$tables$($baseball$\_$data, $2008)$

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