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Amazon Book Trends Data
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About
This dataset provides a curated list of Amazon's Top 50 bestselling books annually from 2009 to 2019. It contains information on 550 unique book entries, which were categorised into fiction and non-fiction genres using Goodreads. The dataset was collected in October 2020 and serves as a valuable resource for analysing book market trends, popularity, and consumer behaviour over a decade.
Columns
- Name: The title of the book.
- Author: The author of the book.
- User Rating: The average Amazon user rating for the book, ranging from 3.3 to 4.9. The mean rating is 4.62.
- Reviews: The total number of written reviews on Amazon for the book, with counts ranging from 37 to 87,841. The mean review count is approximately 12,000.
- Price: The price of the book in GBP (as at 13th October 2020). Prices range from £0 to £105, with a mean price of £13.10.
- Year: The year or years the book ranked on the bestseller list, covering the period from 2009 to 2019.
- Genre: Indicates whether the book is categorised as fiction or non-fiction.
Distribution
The dataset comprises 550 records, representing Amazon's top-selling books. All columns have valid entries, with no mismatched or missing values reported. Non-fiction books constitute 56% of the dataset, while fiction books make up 44%. The year distribution shows 50 entries for each year from 2009 to 2017, and 100 entries for the period covering 2018-2019.
Usage
This dataset is suitable for various analytical purposes, including:
- Data Analytics: Identifying trends in book sales, pricing strategies, and user engagement over time.
- Data Visualisation: Creating visual representations of bestseller trends, genre popularity, and rating distributions.
- Exploratory Data Analysis: Gaining insights into the characteristics of top-selling books and their market performance.
- Market research for publishing houses and authors.
- Academic research on literary trends and consumer preferences.
Coverage
The dataset covers Amazon's top 50 bestselling books annually for the years 2009 through 2019. Specifically, it includes 50 distinct book entries for each year from 2009 to 2017, and 100 entries spanning the years 2018 and 2019. The genre categorisation separates books into fiction and non-fiction.
License
CC0: Public Domain
Who Can Use It
This dataset is ideal for:
- Data Analysts: For trend analysis, statistical modelling, and reporting on book market dynamics.
- Publishers and Authors: To understand bestseller characteristics and inform publishing strategies.
- Researchers: For studies on reading habits, literary success, and e-commerce trends in books.
- Students: As a practical dataset for learning data analytics, visualisation, and data science techniques.
- Marketers: To identify popular themes and genres in the book industry.
Dataset Name Suggestions
- Amazon Bestsellers 2009-2019
- Decade of Amazon Top Books
- Amazon Book Trends Data
- Fiction Non-Fiction Bestseller Data
- Global Bestselling Books
Attributes
Original Data Source: Amazon Book Trends Data
QUALITY