About this Dataset

Top Goodreads Books Collection (1980-2023)

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Discover the literary treasures of the past four decades through our meticulously curated dataset, the Ultimate Book Collection, showcasing the top 100 books from each year FROM 1980 TO 2023 according to Goodreads ratings.

20 columns are contained in this dataset including:

Data Overview:

ISBN : ISBN codes of the books.

Title: The title of the book, serving as the primary identifier for each literary work.

Series: Indicates whether the book is part of a series, with details on the series name.

Release Number: Specifies the position of the book within a series, offering insights into its chronological order.

Publisher: Publishers of the books.

Language: Language in which the books are written.

Author: The name of the author or authors associated with the book.

Description: A textual overview of the book's plot, providing a glimpse into its narrative.

Num Pages: The total number of pages in the book, offering insights into its length.

Format: Specifies the physical or digital format of the book, such as paperback, hardcover, or e-book.

Genres: he literary genres associated with the book, offering insights into its thematic categorization.

Publication Date: The date when the book was first published, providing historical context to its release.

Rating: The average rating of the book on Goodreads, reflecting reader assessments.

Number of Voters: The count of votes or ratings received by the book on Goodreads, indicating reader engagement.

Current Readers: The current number of readers of the book.

Want to Read: The number of people interested in reading the book.

Price: The price of the book.

URL: The URL of the book.

A Glimpse into Literary Excellence:

The dataset is a curated selection of the most highly regarded books from each year, providing a panoramic view of the literary scene over the past forty years. Each entry has been meticulously chosen based on the ratings and reviews from the Goodreads community, offering readers a chance to explore not only popular bestsellers but also hidden gems that may have slipped under the radar.

In-Depth Book Information:

Dive deep into each book's profile, gaining access to a wealth of information. Uncover series details, release numbers, and author profiles, allowing for a comprehensive understanding of the context surrounding each literary masterpiece. Whether you are a seasoned bibliophile or a researcher, this dataset provides a valuable resource for exploring the evolution of writing styles, genre preferences, and author contributions.

Ratings and Reader Engagement:

The dataset includes detailed information on each book's ratings and the number of votes it has garnered on Goodreads. Gain insights into the reader's perspective and engagement, with a breakdown of the average rating and the quantity of votes received. This feature not only serves as a testament to a book's popularity but also offers a dynamic snapshot of the reader's reception over time.

Versatility for Various Applications:

Ideal for a range of applications, from academic research to personalized book recommendations, the Ultimate Book Collection is a versatile dataset. Researchers can analyze trends in literary preferences, track the evolution of genres, and explore patterns in reader engagement. For book enthusiasts, it serves as a treasure trove, offering a curated list for diverse reading experiences.

Conclusion:

The Ultimate Book Collection invites you on a literary journey that transcends time and genre. With meticulous curation and a focus on reader engagement, this dataset stands as a testament to the enduring power of storytelling. Explore, analyze, and unlock the magic of literature with the top 100 books from each year, a collection that encapsulates the essence of literary excellence from 1980 to 2023.

Tables

Goodreads Top100 From1980to2023 Final

@kaggle.cristaliss_ultimate_book_collection_top_100_books_up_to_2023.goodreads_top100_from1980to2023_final

3.04 MB
4400 rows
20 columns


CREATE TABLE goodreads_top100_from1980to2023_final (
  "unnamed_0" BIGINT,
  "isbn" VARCHAR,
  "title" VARCHAR,
  "series_title" VARCHAR,
  "series_release_number" VARCHAR,
  "authors" VARCHAR,
  "publisher" VARCHAR,
  "language" VARCHAR,
  "description" VARCHAR,
  "num_pages" VARCHAR,
  "format" VARCHAR,
  "genres" VARCHAR,
  "publication_date" VARCHAR,
  "rating_score" DOUBLE,
  "num_ratings" DOUBLE,
  "num_reviews" DOUBLE,
  "current_readers" DOUBLE,
  "want_to_read" DOUBLE,
  "price" DOUBLE,
  "url" VARCHAR
);