Amazon Book Dataset:30000+ Books With 30+ Category
Enhance Projects: 30K+ Books, 30+ Categories Fuel your Recommendation System.
@kaggle.rajkumardubey10_amazon_book_dataset30000_books_with_30_category
Enhance Projects: 30K+ Books, 30+ Categories Fuel your Recommendation System.
@kaggle.rajkumardubey10_amazon_book_dataset30000_books_with_30_category
Context:
Introducing Amazon Book Explorer: A meticulously crafted dataset featuring 30,000+ books spanning 30+ diverse categories. Your ultimate companion for insightful analysis and groundbreaking projects on Kaggle.
Inspirations for Amazon Book Dataset:
Unleash the power of Amazon Book Explorer for a myriad of impactful and creative endeavors!
Data Collection methodology
1.Scraping Adventure Begins:
Utilized Beautiful Soup in Python on Google Colab for Amazon book website.
2.Diverse Categories Unveiled:
Scoped each category, extracting rich data like book names, authors, and more.
3.Data Harvesting in Batches:
Executed scraping iteratively, ensuring all categories contribute to the dataset.
4.Merge and Unify:
Consolidated individual category datasets into a harmonious single CSV format.
5.CSV Creation for Clarity:
Organized data into a CSV file for seamless accessibility and future analysis.
6.Verification and Cleaning:
Ensured dataset integrity by validating and cleaning entries for accuracy.
7.Ready for Exploration:
Completed the process, presenting a comprehensive Amazon Books dataset.
CREATE TABLE merged_dataset (
"book_name" VARCHAR,
"book_price" DOUBLE,
"book_author" VARCHAR,
"book_rating" DOUBLE,
"book_release_date" VARCHAR,
"book_image" VARCHAR
);Anyone who has the link will be able to view this.