The Amazon Fine Food Reviews dataset consists of 568,454 food reviews Amazon users left up to October 2012.

Number of reviews     568,454
Number of users     256,059
Number of products     74,258
Users with > 50 reviews     260
Median no. of words per review 56
Timespan     Oct 1999 - Oct 2012

This dataset consists of a single CSV file, Reviews.csv, and a corresponding SQLite table named Reviews in database.sqlite. 
The   columns in the table are:
Id - Unique row number
ProductId - unique identifier for the product
UserId - unqiue identifier for the user
ProfileName
HelpfulnessNumerator - number of users who found the review helpful
HelpfulnessDenominator - number of users who indicated whether they found the review helpful
Score - rating between 1 and 5
Time - timestamp for the review
Summary - brief summary of the review
Text - text of the review

 Analysing the data & plot the required graphs to show that these conclusions are true:
 a. Positive reviews are very common.
 b. Positive reviews are shorter.
 c. Longer reviews are more helpful.
 d. Despite being more common and shorter, positive reviews are found more helpful.
 e. Frequent reviewers are more discerning in their ratings, write longer reviews, and write more helpful reviews