Books Sales and Ratings

Books Dataset: Analyzing Sales, Ratings, and Genres

By Josh Murrey [source]

About this dataset

The Books Dataset: Sales, Ratings, and Publication provides comprehensive information on various aspects of books, including their publishing year, author details, ratings given by readers, sales performance data, and genre classification. The dataset consists of several key columns that capture important attributes related to each book.

The Publishing Year column indicates the year in which each book was published. This information helps in understanding the chronological distribution of books in the dataset.

The Book Name column contains the titles of the books. Each book has a unique name that distinguishes it from others in the dataset.

The Author column specifies the name(s) of the author(s) responsible for creating each book. This information is crucial for understanding different authors' contributions and analyzing their impact on sales and ratings.

The language_code column represents a specific code assigned to indicate the language in which each book is written. This code serves as a reference point for language-based analysis within the dataset.

Each author's rating is captured in the Author_Rating column. This rating is based on their previous works and serves as an indicator of their reputation or acclaim among readers.

The average rating given by readers for each book is recorded in the Book_average_rating column. This value reflects how well-received a particular book is by its audience.

The number of ratings given to each book by readers can be found in the Book_ratings_count column. This metric helps gauge reader engagement and provides insights into popular or widely-discussed books within this dataset.

Books are classified into different genres or categories which are mentioned under the genre column. Genre classification allows for analyzing trends across specific literary genres or identifying patterns related to certain types of books.

Sales-related data includes both gross sales revenue (gross sales) generated by each book and publisher revenue (publisher revenue) earned from these sales transactions. These numeric values provide insights into financial performance aspects associated with the book market.

The sale price column denotes the specific price at which each book is sold. This information helps evaluate pricing strategies and their potential impact on sales figures.

Sales performance is further quantified through the sales rank column, which assigns a numerical rank to each book based on its sales performance. This ranking system aids in identifying high-performing books within the dataset.

Lastly, the units sold column captures the number of units of each book that have been sold. This data highlights popular books based on reader demand and serves as a crucial measure of commercial success within the dataset.

Overall, this expansive and comprehensive Books Dataset

How to use the dataset

Introduction:

• Getting Familiar with the Columns: The dataset contains multiple columns that provide different kinds of information:

• Book Name: The title of each book.

• Author: The name of the author who wrote the book.

• language_code: The code representing the language in which the book is written.

• Author_Rating: The rating assigned to the author based on their previous works.

• Book_average_rating: The average rating given to the book by readers.

• Book_ratings_count: The number of ratings given to the book by readers.

• genre: The genre or category to which the book belongs.

• gross sales: The total sales revenue generated by each book.

• publisher revenue: The revenue earned by publishers from selling each book.

• sale price: The price at which each copy of a book is sold.

• sales rank: A numeric value indicating a book's rank based on its sales performance in comparison to other books within its category (genre).

• units sold : Total number of copies sold for each specific title.

• Understanding Numeric and Textual Data: Numeric columns in this dataset include Publishing Year, Author_Rating, Book_average_rating, Book_ratings_count,gross sales,publisher revenue,sale price,sales rank and units sold; these provide quantitative insights that can be used for statistical analysis and comparisons.

Additionally,the columns 'Author','Book Name',and 'genre' contain textual data that provides descriptive elements such as authors' names and categorization genres.

• Exploring Relationships Between Data Points: By combining different co...

Adult fiction book sales increased by *** percent between H1 2024 and H1 2025, with 2025 unit sales hitting ***** million between January and June that year. Adult nonfiction sales saw the biggest decline year over year with a drop of *** percent.

In the first half of 2018, general adult fiction books were the most successful in terms of sales with over **** million units sold in the United States during that time, but certain genres were far more popular than others. Unit sales of classics reached almost *** million, outperforming books in the fantasy category, and almost *** million graphic novels were sold. Among the most popular genres were romance and suspense/thrillers, with unit sales surpassing **** million and *** million respectively.

When it comes to nonfiction, business and economics books sold well in the first six months of 2018, as well as biographies, autobiographies, and memoirs. However, **** million religious books and bibles were sold, superseding general nonfiction sales and making religion the best-selling adult nonfiction category in the U.S. during that time period.

The changing book market

Whilst it is true that demand for and spending on traditional media is waning as digital sources take over, books are still a popular source of entertainment, education, and recreation. But, like the newspaper and magazine market, the book industry found itself needing to adapt.

A key example of how the book market has changed is the advent of audiobooks, which allow users to enjoy books on the go in the same way they would listen to a podcast or stream their favorite music. Audiobooks in the fiction category are far more popular than nonfiction audiobooks, suggesting that buyers tend to use audiobooks more for recreation than education and listen to them on the go. Equally, the share of adults in the U.S. who listen to audiobooks in their car rather than at home grew between 2018 and 2019, demonstrating a growing trend towards on the go book consumption.

E-books are another popular, modern way to enjoy reading, though what they offer the consumer is not dissimilar to a print book when it comes to the act of reading itself. E-readers allow users to access any number of books at a given time, and as such e-books have less to do with flexibility in terms of consumption location or habit, but more to do with ease of access (and for avid readers, likely how many book shelves they need).

• The dataset contains information about world best-selling books and it focus on their sales volume and related details.
• It is structured in such a way to provide deep insights of the most popular books based on global sales figures.
• This dataset is particularly useful for understanding trends in literature consumption and popularity across different genres authors by volume sales
• This Dataset consists of Six Columns such as Rank, Title, Author, Volume Sales, Publisher and Genre ## About Discription:

1. Rank: This column indicates the position of each Top sellingbook relative to the other Books.
2. Title: It contains the Lists of the names of those books that have achieved significant sales.
3. Author: It Provides the names of the authors who wrote the best-selling books.
4. Volume Sales: It Represents the total number of copies sold globally of each book.
5. Publisher: It Indicates the entity responsible for publishing each book.
6. Genre: It Categorizes each book into a specific literary genre or type. ## Usefulness of Dataset:
7. Market Insights: This Dataset can be used by the analysts to identify trends in book sales across different genres over time.
8. Author Analysis: By Analyzing this Dataset the researchers and enthusiasts can study the success of authors and their impact on the literary market.
9. Publisher Trends: By taking Deep Insights about the Dataset we can know that the publishing houses can analyze their competitors and market performance based on the success of their published books.
10. Consumer Behavior: By analyzing this Dataset we can understand which genres and authors are most popular can and provide insights into reader preferences and consumption patterns. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F17226110%2Fb3d66e63cf338b78ac3a84dd96b4d67f%2F_333a5ff2-e15e-4aae-95da-6e6205e97708.jpg?generation=1720017462173374&alt=media" alt="">

In 2024, the retail sales revenue of books amounted to *** billion yuan. Children, school, and literature were the top genres, contributing over ** percent of the total book sales. Daily life books registered the highest year-over-year growth rates among the major genres.

Data Description

Dataset Information:

The Books Dataset contains 1070 rows of information relating to Sales, Ratings, and Publication of various types of books. It provides comprehensive information on various aspects of books, including their publishing year, author details, ratings given by readers, sales performance data, and genre classification. The dataset consists of several key columns that capture important attributes related to each book.

Attribute Information:

The dataset contains multiple columns that provide different kinds of information: - Index – a sequential row index for the data - Publishing Year - the year in which each book was published - Book Name: The title of each book. - Author: The name of the author who wrote the book. - language_code: The code representing the language in which the book is written. - Author_Rating: The rating assigned to the author based on their previous works. - Book_average_rating: The average rating given to the book by readers. - Book_ratings_count: The number of ratings given to the book by readers. - genre: The genre or category to which the book belongs. - gross sales: The total sales revenue generated by each book. - publisher revenue: The revenue earned by publishers from selling each book. - sale price: The price at which each copy of a book is sold. - sales rank: A numeric value indicating a book's rank based on its sales performance in comparison to other books within its category (genre). - units sold : Total number of copies sold for each specific title.

Dataset created by Josh Murray: https://data.world/josh-nbu

Regression:

Type: Linear Target variable: units sold, sales rank or publisher revenue

In 2023, the revenue from children's and youth book sales in printed format in Sweden amounted to ***** million Swedish kronor, making printed books in this category one of the most lucrative revenue sources for the book market. Crime and suspense literature however generated a total sales revenue of over ****** million Swedish kronor in both printed and streamed format, making it overall the most lucrative revenue source on the Swedish book market.

In Hungary, romance was the leading e-book genre in 2022, accounting for ** percent of the books sold. World literature followed in the ranking, with a ** percent share.

The most profitable distribution channel for fiction books in Denmark were online bookstores in 2023. Physical bookstores were however most valuable for specialized literature that year. By comparison, educational book publishers as well as literature for youth and children generated the highest revenue through sales to public institutions.

The Genre-Based Book Data from Powell's city of Book dataset could include book information such as title, author name, publisher, publication date, ISBN or other unique identifiers, genre, book description, customer reviews, and price.

Additional data that could be extracted from the website might include the popularity of books based on sales rank, ratings, and reviews. Powell's City of Books may also offer additional information on each book, such as whether it is a signed copy, a first edition, or a rare book.

The dataset may require additional processing or cleaning steps to ensure that the data is accurate and ready for analysis. For example, some books may have multiple authors or editions, which could require data cleaning to standardize and group the data correctly. https://upload.wikimedia.org/wikipedia/commons/6/67/Powell%27s_City_of_Books_%28logo%29.png"> Powell's Books is an independent bookseller serving Portland, Oregon, since 1971. Through Powells.com and our expansive online community, we also reach readers around the world, people who are as excited about books as we are.

We are grounded by our company's core values, which have guided us through the ups and downs of the bookselling industry. Each and every employee's love of books drives us forward.

We look forward to a future filled with many new opportunities, new innovations, and, of course, new books!

In 2017, textbooks generated an estimated revenue of ****** million U.S. dollars, making books in this category the best-selling type of print book in terms of online sales. Meanwhile, the second most lucrative category were printed children’s books, and online sales of print books centered around business amounted to almost *** million U.S. dollars.

The U.S. book market: an overview

Although many traditional industries are struggling to keep up with consumers’ growing demand for digital formats, retail sales of U.S. bookstores tend to reach between *** and *** million dollars per month. In the months of December, January, and August, such sales frequently either hit or surpass the *** billion dollar mark, a trend which has been evident for the last five years.

However, whilst bookstore sales remain comparatively healthy, other elements of the U.S. book industry are suffering. Higher education book publishing revenue has dropped by more than one billion U.S. dollars since 2013, and student spending on course material also noticeably decreased during the same time period. Major chain Barnes & Noble hasn’t had it easy, either – the company’s retail sales have dropped consistently year on year since 2012 and show no signs of improving. Barnes & Noble’s e-reader brand NOOK also proved to be somewhat of a disappointment, with net sales taking a nosedive from over *** million U.S. dollars in 2012 to less than *** million in 2018.

Snapshot img

E-Book Market Size 2025-2029

The e-book market size is forecast to increase by USD 14.52 billion, at a CAGR of 10.7% between 2024 and 2029.

Major Market Trends & Insights

North America dominated the market and accounted for a 45% growth during the forecast period.
By the Product - Consumer e-book segment was valued at USD 7.86 billion in 2023
By the Platform - Smartphones segment accounted for the largest market revenue share in 2023

Market Size & Forecast

Market Opportunities: USD 163.63 billion
Market Future Opportunities: USD USD 14.52 billion 
CAGR : 10.7%
North America: Largest market in 2023

Market Summary

The market continues to evolve, with various formats gaining traction among publishers and readers. According to recent studies, the number of e-books sold has surpassed print books, representing a significant shift in consumer preferences. In 2020, e-books accounted for approximately 25% of all book sales, marking a noticeable increase from the previous year. Moreover, the market's dynamism extends to the diverse range of applications across industries. Education, business, and entertainment sectors have embraced e-books due to their convenience, accessibility, and cost-effectiveness.
However, this growth trajectory comes with challenges, such as privacy concerns. Reports indicate that over 50% of e-book users have experienced privacy breaches, with unsecured downloads and unencrypted files being common vulnerabilities. Despite these challenges, the market's continuous evolution underscores its potential for further growth and innovation.

What will be the Size of the E-Book Market during the forecast period?

Explore market size, adoption trends, and growth potential for e-book market Request Free Sample

The market exhibits a steady expansion, with current sales accounting for approximately 20% of the global publishing industry's revenue. This figure underscores the increasing preference for digital content among businesses and consumers alike. Looking ahead, industry experts project a 15% annual growth rate, indicating a significant expansion in the coming years. A comparison of sales trends reveals a noticeable shift towards e-books. In 2015, e-books represented 17% of total book sales, while in 2020, they accounted for 23% of the market.
This growth trajectory underscores the market's continuous evolution and the increasing importance of digital content in the publishing sector. Despite this growth, print books still maintain a substantial market share, accounting for around 77% of total book sales in 2020. However, the gap between e-books and print books is closing, highlighting the potential for further market disruption and growth in the digital publishing space.

How is this E-Book Industry segmented?

The e-book industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Product

  Consumer e-book
  Professional e-book
  Educational e-book


Platform

  Smartphones
  Tablet and laptops
  Desktops
  Smart TVs


Business Model

  Pay-per-download
  Subscription-based
  Freemium
  Lending/Borrowing


Genre

  Fiction
  Non-fiction
  Young Adult
  Comics/Graphic Novels


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Spain
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan
    South Korea


  South America

    Brazil


  Rest of World (ROW)

By Product Insights

The consumer e-book segment is estimated to witness significant growth during the forecast period.

The market, a significant segment of digital content consumption, is experiencing notable growth driven by the increasing popularity of fiction books among readers. Approximately 60% of e-Book sales stem from fiction titles, with young adult literature accounting for a substantial portion of this demand. European countries, including Germany, Italy, the Netherlands, and Belgium, generate a substantial portion of their e-Book revenues from fiction sales. Fiction books, categorized into literary and commercial genres, have seen a surge in demand due to evolving reading habits. The allure of compelling stories has made fiction a preferred choice for many individuals.

For instance, literary fiction offers insightful narratives and character development, while commercial fiction caters to popular trends and genres. Moreover, the adoption of technology and the convenience it offers have contributed to the growth of the market. For example, e-Books can be accessed instantly, and their portability makes them an ideal choice for avid readers. Additionally, e-Books offer features like adjustable font sizes, text-to-speech, and note-taking capabilities, enhancing the

Context

This dataset provides lists of best-selling books and book series to date and in any language. "Best-selling" refers to the estimated number of copies sold of each book, rather than the number of books printed. Comics and textbooks are not included in this list.

Content

The dataset contains data of best-selling individual books.

Data Columns and description

• Index - row index to identify each row uniquely.
• Book - Contains title of the book(s).
• Author - Contains Name of the author(s) who wrote the book.
• Original language - Language in which the book was originally written.
• First published - The year in which the book was first published.
• Approximate sales - Approximate sales of the book.
• Genre - Genre of the book.

Source

This data was scrapped from Wikipedia.

This dataset contains detailed information about a wide range of books available for purchase on an online retailer's website. It includes data such as book titles, authors, categories, prices, stock status, number of copies left, book length in pages, edition details, publication information, and customer engagement metrics like wished users counts and discount offers. This dataset is ideal for data analysis projects focusing on book sales trends, customer preferences, and market insights within the online retail book industry. Whether you're exploring pricing strategies, customer behavior, or genre popularity, this dataset provides a rich resource for data-driven exploration and analysis in the domain of online book retailing. Content:

Book Title: Title of the book. Author: Author(s) of the book. Category: Category or genre of the book. Price (TK): Price of the book in TK (local currency). Stock Status: Availability status of the book (In Stock/Out of Stock). Copies Left: Number of copies currently available. Book Length (Pages): Number of pages in the book. Edition: Edition details of the book. Publication: Publisher or publication details. Wished Users: Number of users who have added this book to their wish list. Discount Offer: Any available discount or promotional offer on the book. https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F17551034%2F8d16bae9e2eb4046322d2423daaaad97%2F949302f2-fb09-4fbf-95d6-338388c4a753.png?generation=1719996201879469&alt=media" alt="">

This statistic shows the distribution of general book sales in the Netherlands in 2017, by genre. In 2017, ** percent of general books sold in the Netherlands were non-fiction leisure books.

Top Books in Spain: Ranking & Details

2020 Market Trends in Fiction & Non-Fiction Books

By [source]

About this dataset

This dataset provides an in-depth analysis of the best-selling books in Spain. It offers comprehensive information on the top 100 titles, including their ranking, author, title, language of publication, genre, ISBN and EAN numbers and respective publisher details such as translator and illustrator. Furthermore, it also includes data about other important metrics such as the published date (where known), dimensions and weight plus number of pages making it ideal for those interested in obtaining a comprehensive insight into Spain's book market.

Those wanting to gauge success within the Spanish book industry can benefit from valuable insights gathered from this dataset. Publishers looking for new opportunities within this market can gain a better understanding about popular authors/genres by analysing the rank positions that titles have achieved as well as useful information regarding hardcover versus paperback releases or books with availability in various languages. Similarly researchers keen to assess trends regarding cultural phenomena found within Spanish society may find insight into potential correlations between reading material preferences and societal topics that define current interests when referring to literature sales.

As such this dataset with its relevant attributes could offer users many opportunities which could further enable exploration into other areas beyond just traditional publishing insights including among others: education links with publishing markets; foreign exchange students' interests when studying abroad compared to autochthonous readerships; festivals that promote culture through literature etc. All these could open up exciting new avenues for publishers as well potential clients who advertise alongside these products.

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How to use the dataset

This dataset provides comprehensive information about the top 100 best-selling books in Spain in 2020, including ranking, author, title, language of publication, genre, ISBN and EAN, publisher, translator and illustrator. This data can be used to gain an understanding of the trendiest books in Spain at the time of dataset compilation as well as learn more about successful authors or publishers. It is especially useful for bookstores looking to increase their market share in Spain by stocking popular titles from popular authors or publishers.

The following are practical steps on how to use this dataset: - Identify the columns that contain relevant data for your analysis - these could include Ranking (Puesto), Author (Autor), Title (Título), Genre (Materias), Publisher (Editorial) and Translator/Illustrator names if they are applicable to your project goals; - Explore each column individually and make note of any trends you find across all 100 titles; - Cross reference your findings with other sources such as IMDb if specific names come up;
- Use filtering techniques like sorting by Ranking (lowest to highest) or Genre to narrow down the list focused around any given criteria;
- Finally analyse various metrics such as number of titles per author/publisher/genre etc., most popular topics among top ranking books etc., for insightful conclusions about best-selling books in Spain at this particular time

Research Ideas

• Analyzing and predicting the sales of new titles by comparing their genre, author, number of pages and other relevant features to the success of the books present in the dataset.
• Predicting trends in Spain's book market by analyzing how ratings are distributed between different genres, authors and writers at different points in time since books were published or reproduced.
• Measuring engagement with specific topics, authors or genres within Spain’s book market by tracking how often specific titles are included in best-selling lists over time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: libros_mas_vendidos.csv | Column name | Desc...

The E-Book Market Report is Segmented by Revenue Model (Subscription, Pay-Per-Download, Freemium/Ad-supported, and Institutional Licensing), Genre (Fiction, Non-Fiction, Education and Academic, Comics and Graphic Novels, and Professional and Technical), End-User (Individual Consumers, and Institutional), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

This statistic displays a breakdown of book publisher’s sales volume in France from 2010 to 2018, by genre. It shows that the children's literature segment continuously accounted for approximately ********* of books sold during this time period. In 2018, youth literature amounted to 14 percent of publishers’ revenue.

A surprisingly stable market

It would be incorrect to consider that the emergence of new media such as video games or social networks would have damaged the book industry. As a matter of fact, the revenues recorded by publishing houses have remained relatively stable over the past few years. The same is true for Hachette, one of the most prominent French publishing houses, which recorded profits amounting to *** million euros in 2018.

The advent of digital reading In 2019, more than ******* of French readers claimed to have read twenty books or more over the past 12 months, **** percent of them had done so via an e-book reader. Although still an alternative, digital books have become highly popular among French readers, who quickly adopted the flexibility and adaptability they offered. The value of digital book sales has quadrupled between 2010 and 2017 alone.

Throughout 2022, approximately *** million book copies were sold across Mexico. Out of the total, ** million were pieces related to basic education. Textbooks and children's literature (counted as a single genre) and books on learning the English language followed, selling ** million and ** million copies that year. Altogether, schools and universities accounted for around one-fifth of book sales revenue in Mexico in 2022.

We'll customize a Goodreads dataset to align with your unique requirements, incorporating data on book genres, reader reviews, publishing trends, popular authors, demographic insights, sales figures, and other relevant metrics. Leverage our Goodreads datasets for various applications to strengthen strategic planning and market analysis. Examining these datasets enables organizations to understand consumer preferences and reading trends, facilitating refined book selections and marketing campaigns. Tailor your access to the complete dataset or specific subsets according to your business needs. Popular use cases include optimizing book assortment based on consumer insights, refining marketing strategies through targeted reader segmentation, and identifying and predicting trends to maintain a competitive edge in the publishing and retail book market.