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Personal Goodreads Library Export Data
Data Science and Analytics
Tags and Keywords
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"No reviews yet"
Free
About
Data originates from a personal Goodreads account export, detailing 777 books read over many years, spanning the user's progression from childhood to adulthood. The primary reading genres captured in this resource include sci-fi, fantasy, and popular psychology. The material provides metadata such as titles, authors, and publishers, alongside both the user's personal rating and the public Goodreads average rating for each entry.
Columns
The primary file,
goodreads_library_export.csv, includes 10 relevant fields from 31 available columns across 777 records:- Book Id: Goodreads' unique identification number (100% valid). Values have a mean of 15.1 million and range up to 57.4 million.
- Title: The full title of the book, including any series information (100% valid). There are 777 unique values.
- Author: The main author's name (100% valid). There are 465 unique authors recorded, with Valerie Tripp being the most frequently listed (3%).
- Author l-f: The main author's name presented in Last, First format (100% valid).
- Additional Authors: Names of any other authors involved. This field is 75% missing, with only 25% of records containing data.
- ISBN: The book's ISBN. This field is 79% valid, with 21% of records missing data.
- ISBN13: The book's ISBN13 number. This field is 79% valid, with 21% of records missing data.
- My Rating: The user's personal rating on a 1-5 scale (100% valid). The average rating is 1.77, though many books carry a rating of 0.
- Average Rating: The public average Goodreads rating for the book (100% valid). The mean rating is 4.06.
- Publisher: The publisher of the book, excluding country information. This field is 96% valid, with the publisher American Girl Publishing Inc being the most common entry (3%).
Distribution
The material is distributed as a single CSV file,
goodreads_library_export.csv, which is 160.69 kB in size and contains 777 records. Core metadata fields like Book Id, Title, and Author are 100% valid. However, secondary identifiers such as ISBNs and details regarding Additional Authors show significant gaps in data, with missing values exceeding 20% in those fields. The expected update frequency is Never.Usage
This resource is valuable for projects focused on analyzing personal reading habits, developing recommendation systems based on genre affinity (sci-fi, fantasy, popular psychology), or performing comparative studies between public perception (
Average Rating) and individual user enjoyment (My Rating). It is also suitable for text analysis of titles and author patterns.Coverage
The scope is limited to a single user's Goodreads library. The temporal coverage spans many years, documenting books read from childhood through adulthood. The subject matter predominantly covers literature, specifically science fiction, fantasy, and popular psychology.
License
Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
Who Can Use It
The dataset is intended for researchers and data scientists studying literature analysis, personal data trends, and data science professionals requiring a clean, tagged set of reading data. The material has a maximum usability rating of 10.00.
Dataset Name Suggestions
- Personal Goodreads Library Export Data
- User Reading History and Book Metadata
- Sci-Fi and Fantasy Book Ratings
Attributes
Original Data Source: Personal Goodreads Library Export Data
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