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Top Selling Books Metrics
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About
Explaining data related to the top 50 bestselling novels on Amazon each year from 2009 through to 2020. The collection covers titles categorised as both fiction and non-fiction. The initial data served as an update to a prior collection focused on Amazon’s top-selling books from 2009 to 2019. The dataset is provided in both CSV and Excel formats for user convenience.
Columns
- Name: The title of the novel. The most frequently occurring title is the Publication Manual of the American Psychological Association, 6th Edition.
- Author: The author of the novel. Jeff Kinney and Suzanne Collins are the most common authors represented.
- User Rating: The rating assigned to the novel on the Amazon platform. Ratings span from 3.3 to 4.9, maintaining a mean rating of 4.63.
- Reviews: The count of reviews left for the novel on Amazon. Review counts range from 37 up to 121,000, with an approximate mean of 13.9 thousand.
- Price: The price of the novel. Prices vary between 0 and 105, with an average price of 12.9.
- Year: The specific year in which the novel was recorded as a bestseller, covering 2009 through to 2020.
- Genre: The novel’s genre, which is split between Non Fiction (56%) and Fiction (44%).
Distribution
The data is delivered in both CSV and Excel file formats. It consists of 7 distinct columns and contains 600 valid records in total. There are no missing or mismatched values recorded across any of the included fields. This data product is not expected to receive any further updates.
Usage
This collection is suitable for various statistical and analytical purposes, including Data Analytics, Data Visualization, and Exploratory Data Analysis. It offers valuable material for studying annual book sales trends and customer engagement metrics over a decade.
Coverage
The data covers the period from 2009 to 2020. The scope is defined by the top 50 bestselling novels listed on Amazon within that twelve-year time frame, encompassing titles across both fiction and non-fiction categories.
License
CC0: Public Domain
Who Can Use It
The dataset is highly suitable for both Beginners and Intermediate data practitioners. Ideal users include market researchers studying publishing trends, students conducting statistical analysis of consumer ratings, and developers looking for real-world e-commerce sales data.
Dataset Name Suggestions
- Amazon Top 50 Bestselling Novels 2009-2020
- Amazon Books Data 2009-2020
- Top Selling Books Metrics
- US Bestseller Analysis
Attributes
Original Data Source: Top Selling Books Metrics
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