Skip to main content

Welcome to the book publishing industry 🎉

A data-led analysis of the publishing industry through gender and nationality for COM-480.

This project explores a Goodreads book dataset and an International Bestsellers dataset through questions of authorship, geography, language, publishing, and gender representation.

Instead of reading the dataset as a static table, each visualization gives you a different way to move through it: compare groups, follow changes over time, filter the library, or look for the categories where the patterns become surprising.

These vizualisations where build with the following questions in mind:

  • What are the most published voices, where do they come from ?
  • Is there a correlation between gender and genres ?
  • Is there a discrepancy in the way books are rated depending on the author’s gender ?
  • Is there a discrepancy between male/female authors across nationality ?
  • What is the language distribution of published books?

By building the different views of the datasets we have found different ways to explore and answer these questions. We invite you to come to your own conclusions by exploring our visualizations!

Visualizations #

Filtering Gender

Filter genres or author nationalities and compare male, female, and other authorship totals.

The Gender Scatter

Compare average price and rating by gender group across genres or nationalities.

Exploring Gender

Inspect women-led and men-led representation by genre or author nationality.

Authors Across The World

Scale countries by the number of books from authors with those nationalities.

The Countries Race

Watch the leading author nationalities change over time, with optional population scaling.

The Most Published Languages

See the distribution of books by language as a waffle chart.

Equality By Publishers

Compare gender representation across major publishers.

The Bookshop

Browse and filter books on an interactive shelf.

The Bestseller's Timeline

Follow bestseller ratings year by year, split by author gender around a shared timeline.

Johanna, Paul and Pol

Johanna, Paul and Pol

Not your ordinary team!

We are three EPFL Cybersecurity students, welcome to our website. 🐶