Motivation

> Being a bibliophile and a book lover, I decided to create this dataset for all the book enthusiasts out there who are looking to unravel patterns and connections in their favorite books and explore some of the most interesting and finest books ever written.

Description

> This dataset has been scraped from Goodreads and contains information on popular and trending books listed on Goodreads spanning 125 years. The features of the dataset are described below:

Features

This file contains some general information about a book such as its title, author, score etc. > - Title: Title of the book

• Author: Author of the book
• Score: Average user rating/score of the book
• Ratings: Total number of ratings given to the book by users
• Shelvings: Total number of users having the book saved on their Goodreads account
• Published: The year in which the book was published
• Description: Description of the book
• Image: Image URL of the book

Use cases

This dataset presents numerous opportunities for exploration and analysis, offering valuable insights into the world of literature, reader preferences, and the art of storytelling. Some of the potential use cases include: > - Recommendation Systems: The dataset can be employed to develop recommendation algorithms that match readers with books tailored to their preferences based on user ratings.

• Context Analysis: Perform text analysis on book descriptions to understand the emerging patterns in trending books and how it contributes to their success.
• Author Insights: Study author patterns and trends to understand how certain authors consistently produce beloved and influential works.

Please, provide an upvote👍if the dataset was useful for your task. It would be much appreciated😄