- Uses the Pandas library to read the csv files.
- Then, numpy is used to extract the data (1d array) because a list is no bueno
- Create a common grid, finding the biggest step so no fake details
- Interpolate the data by estimating the values between the data.
- Calculate the SAM which is the dot product
- Find the cosine similarity and normalization (linear).
- Plot the graph using matplotlib.