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Jan 25th, 2020
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  1. import numpy as np
  2. import pandas as pd
  3.  
  4. dataFrame = pd.read_csv('student.csv', delimiter=';')
  5.  
  6. x = dataFrame.corrwith(dataFrame['G3'])
  7. male = dataFrame.loc[dataFrame["sex"] == "M"]
  8. female = dataFrame.loc[dataFrame["sex"] == "F"]
  9. rom = dataFrame.loc[dataFrame["romantic"] == "yes"]
  10. nonrom = dataFrame.loc[dataFrame["romantic"] == "no"]
  11.  
  12. print("Correlation")
  13. print(x.sort_values(kind="quicksort"))
  14.  
  15. print("Male means")
  16. print(male.mean())
  17. print("Female means")
  18. print(female.mean())
  19.  
  20. print("Romantic mean")
  21. print(rom.mean())
  22. print("Non romantic mean")
  23. print(nonrom.mean())
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