Determining relationships between number of ratings and ratings

Given the preceding results it appears that people mostly only vote in a positive manner. We can look to see if there is a relationship between how many votes a company has received and their rating.

First, we accumulate the dataset using the following script, extracting the number of votes and rating for each firm:

#determine relationship between number of reviews and star ratingimport pandas as pdfrom pandas import DataFrame as df  import numpy as np  dfr2 = pd.DataFrame(columns=['reviews', 'rating'])mynparray = dfr2.valuesfor line in lines:    line = unicode(line, errors='ignore')    obj = json.loads(line)    reviews = int(obj['review_count'])    rating = float(obj['stars'])    arow = [reviews,rating]    mynparray = np.vstack((mynparray,arow)) dfr2 = df(mynparray)print (len(dfr2))

This coding just builds the data frame with our two variables. We are using NumPy as it more easily adds a row to a data frame. Once we are done with...