input: Write a python function to create a DataFrame, add an aggregate column, and return the modified DataFrame.
  assert create_dataframe_with_aggregate([[0, 34, 2, 6], [1, 21, 9, 0]])['Aggregate'].tolist() == [42, 31]
  assert create_dataframe_with_aggregate([[2, 3, 4, 5], [6, 7, 8, 9]])['Aggregate'].tolist() == [14, 30]
  assert create_dataframe_with_aggregate([[10, 20, 30, 40], [50, 60, 70, 80]])['Aggregate'].tolist() == [100, 260]
output: def create_dataframe_with_aggregate(data):
      import pandas as pd
  
      df = pd.DataFrame(data)
      df['Aggregate'] = df.sum(axis=1)
      return df