text: __author__ = "blu3crab"
  __license__ = "Apache License 2.0"
  __version__ = "0.0.1"
  
  import pandas as pd
  pd.plotting.register_matplotlib_converters()
  import matplotlib.pyplot as plt
  #%matplotlib inline
  import seaborn as sns
  print("Setup Complete")
  
  # Path of the file to read
  spotify_filepath = "../data/spotify.csv"
  
  # Read the file into a variable spotify_data
  spotify_data = pd.read_csv(spotify_filepath, index_col="Date", parse_dates=True)
  
  # Print the first 5 rows of the data
  print(spotify_data.head())
  
  # Print the last five rows of the data
  print(spotify_data.tail())
  
  # Line chart showing daily global streams of each song
  sns.lineplot(data=spotify_data)
  plt.show()
  
  # Set the width and height of the figure (inches)
  plt.figure(figsize=(14,6))
  
  # Add title
  plt.title("Daily Global Streams of Popular Songs in 2017-2018")
  
  # Line chart showing daily global streams of each song
  sns.lineplot(data=spotify_data)
  plt.show()
  
  list(spotify_data.columns)
  
  # Set the width and height of the figure
  plt.figure(figsize=(14,6))
  
  # Add title
  plt.title("Daily Global Streams of Popular Songs in 2017-2018")
  
  # Line chart showing daily global streams of 'Shape of You'
  sns.lineplot(data=spotify_data['Shape of You'], label="Shape of You")
  
  # Line chart showing daily global streams of 'Despacito'
  sns.lineplot(data=spotify_data['Despacito'], label="Despacito")
  plt.show()
  
  # Add label for horizontal axis
  plt.xlabel("Date")
  
  # Line chart showing daily global streams of 'Shape of You'
  sns.lineplot(data=spotify_data['Shape of You'], label="Shape of You")
  plt.show()
  
  print("!adios amigos!")