code: import pandas as pd
  import matplotlib.pyplot as plt
  import matplotlib
  
  # Look pretty...
  # matplotlib.style.use('ggplot')
  plt.style.use('ggplot')
  
  
  #
  # TODO: Load up the Seeds Dataset into a Dataframe
  # It's located at 'Datasets/wheat.data'
  # 
  wheat_df = pd.read_csv('/home/dipanjan/DAT210x/Module3/Datasets/wheat.data', index_col=0);
  
  
  #
  # TODO: Create a 2d scatter plot that graphs the
  # area and perimeter features
  # 
  # .. your code here ..
  wheat_df.plot.scatter(x='area', y='perimeter')
  
  #
  # TODO: Create a 2d scatter plot that graphs the
  # groove and asymmetry features
  # 
  # .. your code here ..
  wheat_df.plot.scatter(x='groove', y='asymmetry')
  
  #
  # TODO: Create a 2d scatter plot that graphs the
  # compactness and width features
  # 
  # .. your code here ..
  wheat_df.plot.scatter(x='compactness', y='width')
  
  
  # BONUS TODO:
  # After completing the above, go ahead and run your program
  # Check out the results, and see what happens when you add
  # in the optional display parameter marker with values of
  # either '^', '.', or 'o'.
  wheat_df.plot.scatter(x='compactness', y='width', marker='o')
  
  plt.show()
  
  
  
apis: pandas.read_csv matplotlib.pyplot.style.use matplotlib.pyplot.show