Dataset: Books Clean Dataset

About this Dataset

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.

Tables

Clean Books

@kaggle.mahmoudshaheen1134_books_clean_dataset.clean_books

21.17 KB
350 rows
5 columns


CREATE TABLE clean_books (
  "name" VARCHAR,
  "author" VARCHAR,
  "rating" DOUBLE,
  "year" BIGINT,
  "genre" VARCHAR
);