Big data analystics on amazon dataset.

1. CS 185c-Big Data Analytics
Team 6: Nupur Kohli (009292972) Poonam Mehetrey (009417122) Prijila Nair (009389107)

2. •Product Id: CS185c
•Title: Hadoop Project/Hive
•Price: Priceless
•User Id: 009292972,009417122, 009389107
•ProfileName: Nupur Kohli, Poonam Mehetrey, Prijila Nair
•Helpfulness: 10/10
•Score: 5.0
•Time: 1413922670
•Review-Summary: Amazon User Reviews
•Review: Reviews include product and user information, ratings, and a plaintext review.
About

3. Data Set Description

4. Books Vs Kindle

5. Which month do we get most reviews ?

6. Most Loved Books

7. The Crazy Book Worms
•Oh wait..!! 15813 reviews in 10 years..??
15,813

8. Star Ratings by Our Top Reviewer
•How can someone be so generous towards every book ?
•Is it possible for a person to like every book they read ?
99.7% of the Ratings are equal to and above 4.
Star Rating
Count

9. Harriet Klausner vs General Population
There seems something fishy.. LETS DIG IN..!!

10. Fraud or Legitimate ?

11. What we found out about reviewer ?

13. References
[1] Harriet Klausner , Retrieved from : http://en.wikipedia.org/wiki/Harriet_Klausner
[2] Amazon User Profile , Retrieved from: http://www.amazon.com/gp/pdp/profile/AFVQZQ8PW0L/ref=cm_cr_rdp_pdp
[3] The Harriet Klausner: Is she a fraud? Retrieved from :
http://asiturnthepages.blogspot.com/2012/12/the-harriet-klausner-is- she-fraud.html
[4] The Harriet Klausner Appreciation Society, Retrieved from: http://harriet-rules.blogspot.com/
[5] Amazon User Reviews Dataset, Retrieved from : http://snap.stanford.edu/data/web-Amazon-links.html

14. Thank you !