text: '''
      Mahnoor Anjum
      Python:
          Bivariate Analysis
  '''
  import seaborn as sns
  import matplotlib.pyplot as plt
  import pandas as pd
  import numpy as np
  import math
  import random 
  
  path = 'data/private/savepath/'
  filename = 'v3_1'
  savepath = 'data/private/saveslice/'
  data = pd.read_csv(path + filename+'.csv')
  
  for i in [500, 1000, 2000, 3000, len(data.index)]:
      _temp = data.sample(n=i)
      _temp.to_csv(savepath + filename + '_' + str(i) + '.csv', index=None)
      