Tantalizing Book Selection
Discover literary treasures spanning four decades through our meticulously.
@kaggle.willianoliveiragibin_tantalizing_book_selection
Discover literary treasures spanning four decades through our meticulously.
@kaggle.willianoliveiragibin_tantalizing_book_selection
Discover literary treasures spanning four decades through our meticulously curated dataset, the Ultimate Book Collection, featuring the top 100 books from each year based on Goodreads ratings. This extensive compilation offers a gateway to the literary world, showcasing timeless classics, hidden gems, and influential works that have left an indelible mark on literature.
Data Overview:
A Glimpse into Literary Excellence:
Our dataset offers highly regarded books from each year, providing a panoramic view of literature over the past 40 years, from bestsellers to hidden gems.
In-Depth Book Information:
Explore series details, release numbers, and author profiles for a comprehensive understanding of each masterpiece.
Ratings and Reader Engagement:
Gain insights into reader perspectives with detailed ratings and vote counts, showcasing a book's popularity and reader reception.
Versatility for Various Applications:
Ideal for academic research or personalized book recommendations, this versatile dataset enables trend analysis, genre evolution tracking, and reader engagement exploration.
Conclusion:
Embark on a timeless literary journey with the Ultimate Book Collection, spanning 1980 to 2023. Meticulously curated and focused on reader engagement, this dataset celebrates the enduring power of storytelling. Explore, analyze, and unlock the magic of literature with the top 100 books from each year, embodying literary excellence.
CREATE TABLE goodreads_top100_from1980to2023_v2_new (
"sequecence" BIGINT,
"book" VARCHAR,
"series" VARCHAR,
"release_number" VARCHAR,
"author" VARCHAR,
"description" VARCHAR,
"num_pages" DOUBLE,
"format" VARCHAR,
"genres" VARCHAR,
"publication_date" VARCHAR,
"rating" VARCHAR,
"number_of_voters" BIGINT
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