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The Practical Guide to Python for Scientists and Engineers

Finding Correlation Between the Movie Ratings

Let’s look at how to find correlations between different datasets.

We'll cover the following...

We’ve generated some random data for a few movie ratings. Let’s have a look at it.

{'Terminator': {'Tom': 4.0,
  'Jack': 1.5,
  'Lisa': 3.0,
  'Sally': 2.0},
  
 'Terminator 2': {'Tom': 5.0,
  'Jack' : 1.0,
  'Lisa': 3.5,
  'Sally': 2.0},
  
 'It happened one night': {'Tom': 3.5,
  'Jack': 3.5,
  'Tiger': 4.0,
  'Lisa': 5.0,
  'Michele': 3.0,
  'Sally': 4.0,},
  
 '27 Dresses': {'Tom': 3.0,
  'Jack': 3.5,
  'Tiger': 3.0,
  'Lisa': 5.0,
  'Michele': 4.0,
  'Sally': 4.0},
  'Poirot': {'Tom': 4.0,
  'Jack': 3.0,
  'Tiger': 5.0,
  'Lisa': 4.0,
  'Michele': 3.5,
  'Sally': 3.0,
  },
 'Sherlock Holmes': {'Tom': 4.0,
  'Jack': 3.0,
  'Tiger': 3.5,
  'Lisa': 3.5,
  'Sally': 2.0,
  }}

The movie data is stored as a dictionary. Each dictionary has its sub-dictionary. Let’s look at the first movie:

'Terminator': {'Tom': 4.0,
  'Jack': 1.5,
  'Lisa': 3.0,
  'Sally': 2.0},

The movie ...