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In this project, we're going to analyze how NBA players performed over years by;

  • Creating season and player dictionaries to cast our analysis through the years and the players.
  • Using NumPy package to create arrays and matrixes.
  • Performing mathematical operations on array elements.
  • Using the matplotlib library and our own created function to generate the final plot to help us analyze the data.


In this project, we will analyse the specific genre types and the publisher studios that we picked from the data set by;

  • Reading the CSV file.
  • Changing the columns' types of variables if needed.
  • Filtering the data.
  • Creating a boxplot by using the seaborn library.