Dataset on Amazon's Top 50 best selling books from 2009 to 2019. Contains 550 books, data has been categorized into fiction and non-fiction using Goodreads.
- 1- Name: Name of the Book
- 2- Author: The author of the Book
- 3- User Rating: Amazon User Rating
- 4- Reviews: Number of written reviews on amazon
- 5- Price: The price of the book (As at 13/10/2020)
- 6- Year: The Year(s) it ranked on the bestseller
- 7- Genre: Whether fiction or non-fiction
In my analysis I have tried to have the analysis through which it is possible to reveal the common characteristics of the best-selling books, but I have not reached a specific reason for making these books in the best-selling list. But I found some information; Like not all bestsellers have a high rating.
- 1- It is not the most expensive books that are popular.
- 2- The most expensive books are not the ones with the highest ratings and reviews.
- 4- most common books are found in range 0 to 20 $.
- 5- non- fiction books are the best seller than fiction books.
- 6- the price of the books is less in last 3 year.
I try to help place your book on the bestseller list by extrapolating the common characteristics from the bestsellers, such that the book is a cheap price and be non-fiction book.
you must download and then run presentation in jupter nootbook to work with you as a slideshow.
Eslam Abou-shashaa