Books Clean Dataset

Columns:

Name: The title of the book.
Author: The name of the author(s) of the book.
Rating: A numerical rating assigned to the book, typically on a scale of 1-5.
Year: The year the book was published.
Genre: The genre or category of the book (e.g., fiction, non-fiction, mystery, romance).

Potential Use Cases:

Recommendation Systems: Building algorithms to suggest books to users based on their preferences and reading history.
Sentiment Analysis: Analyzing the ratings and reviews to understand public sentiment towards different books and authors.
Market Analysis: Identifying popular genres, authors, and publication years to understand trends in the book industry.
Data Visualization: Creating visualizations to explore relationships between book attributes (e.g., rating vs. year, genre distribution).
Academic Research: Studying topics such as literary trends, author popularity, and reader behavior.