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Data Science Blog > Web Scraping > Habits of a Top Author in the 21st Century

Habits of a Top Author in the 21st Century

Devin Fagan
Posted on May 18, 2020
Please find my code to this project here and my Github here.

Background

To be a writer is one of the most sought ought careers in the 21st Century. Pollsters data found that 80% of Americans want to write a book. Established authors can make between $100,000 to $1,000,000 a year. About 2.2 million books are published annually. 

Millennials read more than any other generation, and are more likely to visit a public library. The average American millennial reads five books a year while previous generations average at four books a year, and 25% of American adults have not read a book in the past 12 months. To summarize, Americans are reading more than ever. 

Goodreads

Goodreads is a website where users submit reviews and rank books that they have read. A bibliophile safe haven, it serves as a catalog and social networking site for bookworms and their public reading lists. 

The Dataset: "Best Books of the 21st Century" 

The titles generated in this dataset are entirely based on user generated data.  Goodreads clientele can vote, rank and comment on their favorite books of the 21 century. The dataset includes the title, genre, and year. It contains over 8,000 books. I used this particular dataset because I wanted it to be relevant to the current book market. 

Data Analysis:

My first priority was to see which was the most popular genre in the dataset. It is immediately apparent that Fiction and Fantasy are the most popular genres on the list. As seen in the graph above.

The graph above displays the median score of the most popular genres. Fantasy has the most diverse range of score out of the genres. Whereas Nonfiction has the highest median score of the genres.

My next goal was to analyze the frequency of the highest review scores on the list. As displayed by the histogram above, most review scores fall in to the 3.7 to 4.2 range. As expected from a best books list, the majority are favorable but we can see that a 5.0/5.0 is very rare. 

As expected based on the top genre graph, several of the authors who appear most frequently on the best books list write fiction and fantasy. The most frequently appearing author, however, was revealed to be a romance writer. A common factor among the most frequent authors is the number of books they publish on an annual basis. Several of them, including James Patterson, Terry Pratchett, and Neil Gaiman, regularly collaborate with other authors, write in multiple genres, and publish one or more books a year. 

When examining the scores of the most frequently appearing authors it is readily apparent that the best performing authors have produced both highly rated and low rated literature. This revelation displays that even with low rated scores fans were still likely to vote their books onto the best books of the 21st century list. 

Conclusion

In conclusion, to be a top author in the 21st century a person must have a diverse writing portfolio and write consistently. They will have a higher advantage if they publish in the fantasy, fiction, and/or romance genres, although they will have more competition. Quantity seems to play a role in creating a strong and loyal fanbase. 

Further Work

In the future I would like to create a linear regression model to determine the future scores of of each genre and models. I would also like to scrape the ratings and reviews of each reviewer on the website in order to create  more nuanced analysis of each authors portfolio. I would also like to compare the scores and popularity of top authors who write under aliases.

Please find my code to this project here and my Github here.
The skills I demoed here can be learned through taking Data Science with Machine Learning bootcamp with NYC Data Science Academy.

About Author

Devin Fagan

Devin graduated from City College of NY with a Bachelor's degree in Political Science. His background includes exposure to economics, public policy, and campaign strategy. He plans to use data to create data-driven public policy that helps the...
View all posts by Devin Fagan >

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