Code the following question in Python

1(a) Read in the data CSV and store it as a pandas dataframe named spotify_df. The first column of the .csv file should be set as the index. In [ ]: 1(b) Run the following line of code to split the data. How many training and test examples do we have? Note: we are setting the random_state so that everyone has the same split on their assignments. In [ ]: Ndf_train, df_test = train_test_split(spotify_df, test_size=0.2, random_state=321) Type Markdown and LaTeX: a2 1(c) Print out the output of describe() on the training split. This will compute some summary statistics of the numeric columns. Which feature has the smallest range (max-min)? Note that describe returns another DataFrame. Type Markdown and LaTeX: a2 1(a) Read in the data CSV and store it as a pandas dataframe named spotify_df. The first column of the .csv file should be set as the index. In [ ]: 1(b) Run the following line of code to split the data. How many training and test examples do we have? Note: we are setting the random_state so that everyone has the same split on their assignments. In [ ]: Ndf_train, df_test = train_test_split(spotify_df, test_size=0.2, random_state=321) Type Markdown and LaTeX: a2 1(c) Print out the output of describe() on the training split. This will compute some summary statistics of the numeric columns. Which feature has the smallest range (max-min)? Note that describe returns another DataFrame. Type Markdown and LaTeX: a2