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Historical Trends in Literature and Genre Analytics
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About
Accessing metadata for over 50,000 literary works provides a unique window into the world’s most celebrated prose, poetry, and historical texts. This collection gathers extensive details on reader reception, critical acclaim, and narrative structural elements, allowing for a deep exploration of the world’s best practices in authorship. By documenting everything from plot summaries and character lists to specific ISBN codes and award histories, the resource bridges the gap between ancient classics and modern newcomers. It serves as an essential foundation for anyone looking to identify literary trends or discover hidden gems across varied genres and time periods.
Columns
- bookId: A unique numerical identifier assigned to each specific entry.
- title: The official name of the book or poetic work.
- series: The name of the collection if the book belongs to a multi-part series.
- author: The name of the creator or creators responsible for the text.
- rating: The average reader and critic score measured on a scale of 1 to 5.
- description: A short summary highlighting the plot, themes, or characteristics of the work.
- language: The specific tongue in which the book is written.
- isbn: The International Standard Book Number used for unique identification.
- genres: The various categories and styles the book is classified under.
- characters: A list of the fictional figures that inhabit the storyworld.
- bookFormat: The physical or digital medium, such as paperback or hardcover.
- edition: Details regarding the specific version or printing of the title.
- pages: The total number of pages contained within the volume.
- publisher: The company or entity that produced and distributed the work.
- publishDate: The date on which the specific edition in the record was released.
- firstPublishDate: The original date the work was first introduced to the public.
- awards: A record of any literary prizes or recognitions bestowed upon the title.
- numRatings: The total count of individual ratings the text has received.
- ratingsByStars: A granular breakdown of scores ranging from one to five stars.
- likedPercent: The percentage of readers who expressed a positive preference for the book.
- setting: The geographical or temporal location where the story takes place.
- coverImg: A visual representation of the book's front jacket.
- bbeScore: The 'Best Books Ever' score calculated for the title.
- bbeVotes: The total number of community votes cast for the book’s ranking.
- price: The estimated market cost or publishing value of the text.
Distribution
The information is contained within a single CSV file titled
books_1.Best_Books_Ever.csv, which is approximately 73.84 MB in size. The collection consists of 52,424 records, each identified by a unique ID. Core identification fields such as titles and authors are 100% valid, while more niche variables like series names or character lists show varying degrees of population (45% and 26% respectively). This resource maintains a usability score of 10.00 and is intended to remain a static historical archive.Usage
This resource is ideal for developing advanced recommendation engines that combine user interests with community metrics like bbeScore and reader votes. It is well-suited for natural language processing tasks, such as clustering or topic modelling, to uncover common themes across different literary eras. Additionally, developers can use the detailed metadata to create mobile applications that allow users to search for new titles based on specific settings, awards, or character types.
Coverage
The geographic and demographic scope is global, featuring works in 81 different languages, though English accounts for 81% of the entries. Temporally, the data spans centuries, contrasting first publication dates with subsequent modern editions. The records cover a vast array of genres and formats, providing a representative look at high-quality literature from historical masterpieces to contemporary bestsellers.
License
CC0: Public Domain
Who Can Use It
Literary historians can leverage these records to track the evolution of genres and the recognition of authors over time. Data scientists may utilise the ratings and engagement percentages to build predictive models for book popularity. Furthermore, students and librarians can use the ISBNs and descriptions to assist in the curation of reading lists and the discovery of niche academic texts.
Dataset Name Suggestions
- Global Literary Masterpieces: 50,000+ Titles and Metrics
- World Best Books: Historical Metadata and Reader Ratings
- The Universal Bibliographic and Award Registry
- Literary Greats: An Extensive Collection of Book Metrics
- Historical Trends in Literature and Genre Analytics
Attributes
Original Data Source: Historical Trends in Literature and Genre Analytics
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