Task 1.A lef drop_sparse_columns(frame, sparsity_threshold): return Notimplemented orint("Dropping any column with at least 50\% empty values:") drop_sparse_columns(world_data, 0.50) passed-in frame. For cells with ambiguous dataumbers, it is your job to do your best to honor what that data's author likely intended. type.) Ignore any numpy. nan values. Return the passed-in frame. def guess_types(frame): return Notimplemented print("Data description after types are assigned:") guess_types(world_data) world_data.describe() Task 1.A lef drop_sparse_columns(frame, sparsity_threshold): return Notimplemented orint("Dropping any column with at least 50\% empty values:") drop_sparse_columns(world_data, 0.50) passed-in frame. For cells with ambiguous dataumbers, it is your job to do your best to honor what that data's author likely intended. type.) Ignore any numpy. nan values. Return the passed-in frame. def guess_types(frame): return Notimplemented print("Data description after types are assigned:") guess_types(world_data) world_data.describe()