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Feb 28th, 2020
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  1. data = [
  2. ['Grinning', 2.26, 1.02, 87.3],
  3. ['Beaming', 19.1, 1.69, 150.0],
  4. ['ROFL', 25.6, 0.774, 0.0],
  5. ['Tears of Joy', 233.0, 7.31, 2270.0],
  6. ['Winking', 15.2, 2.36, 264.0],
  7. ['Happy', 22.7, 4.26, 565.0],
  8. ['Heart Eyes', 64.6, 11.2, 834.0],
  9. ['Kissing', 87.5, 5.13, 432.0],
  10. ['Thinking', 6.81, 0.636, 0.0],
  11. ['Unamused', 6.0, 0.236, 478.0],
  12. ['Sunglasses', 4.72, 3.93, 198.0],
  13. ['Loudly Crying', 24.7, 1.35, 654.0],
  14. ['Kiss Mark', 21.7, 2.87, 98.7],
  15. ['Two Hearts', 10.0, 5.69, 445.0],
  16. ['Heart', 118.0, 26.0, 1080.0],
  17. ['Heart Suit', 3.31, 1.82, 697.0],
  18. ['Thumbs Up', 23.1, 3.75, 227.0],
  19. ['Shrugging', 1.74, 0.11, 0.0],
  20. ['Fire', 4.5, 2.49, 150.0],
  21. ['Recycle', 0.0333, 0.056, 932.0]
  22. ]
  23.  
  24. emojixpress_sum = 0
  25. instagram_sum = 0
  26. twitter_sum = 0
  27. for row in data:
  28. emojixpress_sum += row[1]
  29. instagram_sum += row[2]
  30. twitter_sum += row[3]
  31.  
  32. emojixpress_mean = emojixpress_sum / len(data)
  33. instagram_mean = instagram_sum / len(data)
  34. twitter_mean = twitter_sum / len(data)
  35.  
  36. for i in range(len(data)):
  37. emojixpress_normalized = data[i][1] / emojixpress_mean
  38. instagram_normalized = data[i][2] / instagram_mean
  39. twitter_normalized = data[i][3] / twitter_mean
  40. index = emojixpress_normalized + instagram_normalized + twitter_normalized
  41. data[i].append(index)
  42.  
  43. print("Emoji name | Usage index")
  44. print('---------------------------------------')
  45. for row in data:
  46. print('{: <16} | {: >20.2f}'.format(row[0], row[4]))
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