GitHub - TutiB-sys/NBA_Data_Challage_Project: NBA Data Challenge analyze 2018-19 NBA players for their scored points, Win Percentage(WIP), 3-point percentage, player efficiency rating(PER), blocks, and Free Throw Line(FTL). Also, it looks at the highly paid players, youngest roster, and average age of the players.

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NBA_Data_Challage_Project

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NBA Data Challenge analyze 2018-19 NBA players for their scored points, Win Percentage(WIP), 3-point percentage, player efficiency rating(PER), blocks, and Free Throw Line(FTL). Also, it looks at the highly paid players, youngest roster, and average age of the players.

aggregation numpy numpy-arrays numpy-groupby pandas pandas-dataframe python3

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