Data Analysis From Goodreads Project: A Trend

Posted on May 18, 2020
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

The data set is from Goodreads. It contains around 11kΒ  records on books. The target audience of this project are book-lovers .The books come in many different languages. The fields used for data analysis areΒ  Book Title, Authors, Average Ratings ,Β  Language code, Number of reviews given to each book and publication date.

Goal of the project

  • Find a trend for number of books published by year
  • List of top 30 Authors by they average user ratings
  • Number of Books by language code
  • Top 50 books by the number of user reviews

Number of books by year

Β Β Β 

Top 30 Authors by Average User Ratings

Number of Books by language code

 

Top 50 books by the number of user reviews

About Author

Swarup Malli

Swarup has a Bachelors's degree in Information Technology. He started his career as an ETL developer and eventually transitioned into the Business Intelligence space. He has been consulting as a Business Intelligence professional with 10 + years plus...
View all posts by Swarup Malli >

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