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Best Trilogies and Book Series Ever
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About
This file offers a curated list of top-ranking book series and trilogies, detailing their success based on reader engagement. It includes essential metrics such as average ratings, total counts of ratings, score values, and the number of people who participated in the voting process. The dataset is derived from scraping a Good Reads list and serves as a valuable resource for understanding the popularity dynamics of established literary works.
Columns
The dataset contains six key attributes focusing on book identity and performance.
- bookTitle: The specific title of the book or series entry (1392 unique titles).
- authorName: The name of the author (592 unique authors).
- avgRating: The average numerical rating assigned by readers.
- totalRating: The total number of ratings recorded.
- scoreValue: A numerical value assigned to the entry, ranging from a minimum of 73 up to 25.3k.
- peopleVoted: The total count of unique individuals who contributed votes, with a maximum recorded value of 255.
Distribution
The structure is a single data file named
BestTrilogies_BookSeriesEver.csv, which has a file size of 101.05 kB. It is presented in a flat file format (CSV). The dataset structure includes six columns and 1396 records, all of which are valid with no missing or mismatched values. There are no anticipated updates, as the expected update frequency is 'Never'.Usage
This data is highly applicable for Exploratory Data Analysis (EDA) focused on literary trends and reader behaviour. It is well-suited for data analytics projects aimed at assessing the success factors behind top literary series or for academic research into the convergence of Arts and Entertainment with reader metrics.
Coverage
The data reflects global input scraped from the Good Reads platform. It captures the performance of series labelled among the best ever, focusing on literary works without a specific date constraint on the publication years or series timelines.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: For generating visualizations and reports on reader engagement with literature.
- Literary Researchers: To quantify the success and reception of popular book series.
- Content Strategists: To understand reader interest in relation to potential adaptations for Movies and TV Shows.
Dataset Name Suggestions
- Good Reads Top Literary Series Metrics
- Best Trilogies and Book Series Ever
- Reader Popularity Scores for Literary Works
Attributes
Original Data Source: Best Trilogies and Book Series Ever
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