text: """
  Use this python file as for interactive jupyter notebook data analysis.
  This isn't an .ipynb file format, but you can export output cells into a 
  notebook after analysis.
  Using a regular python file as my workflow, I have a clearler view
  of the defined variables.
  Also, you can better commit code and have full vscode tools at your disposal.
  """
  
  #%%
  # import all the modules needed for data analysis
  import sys
  import logging
  
  import numpy as np
  
  # import scipy as sp
  # import sklearn
  # import statsmodels.api as sm
  # from statsmodels.formula.api import ols
  
  # import pandas as pd
  import pandas as pd
  
  pd.set_option("display.max_rows", 120)
  pd.set_option("display.max_columns", 120)
  
  # %load_ext autoreload
  # %autoreload 2
  
  # import matplotlib as mpl
  # import matplotlib.pyplot as plt
  # %matplotlib inline
  # %config InlineBackend.figure_format = 'retina'
  
  # import seaborn as sns
  # sns.set_context("poster")
  # sns.set(rc={'figure.figsize': (16, 9.)})
  # sns.set_style("whitegrid")
  
  
  #%%
  frame_data = np.random.randint(0, 100, size=(2 ** 10, 2 ** 8))
  df = pd.DataFrame(frame_data)
  df.head()
  
  #%%
  frame_data
  
  #%%
  