Sales Trends Over Time
Author Gender Distribution
Top Genres by Sales
Top Publishers
Top Selling Books
Filters
Comparisons
Books
Sales Trends
Interactive time-series analysis of sales across years and dimensions.
Filters & Controls
Sales Over Time
Total Sales Summary
Total sales across all years for each group in your current selection.
Summary Statistics
Detailed Results
Author & Gender Analysis
Comprehensive analysis of author performance, gender disparities, and career metrics.
Analysis Controls
Analysis Results
Key Insights
Primary Visualization
Comparative Analysis
Author Network Analysis
Explore relationships between authors based on shared publishers, publication periods, and collaboration patterns using the new author_id field.
Network Controls
Network Statistics
Author Network
Author Details
Royalty Structure Analysis
Analyze royalty rates, tier structures, and payment schemes across different books, authors, and publishers.
Analysis Controls
Summary Statistics
Royalty Analysis
Royalty Tier Details
Book Royalty Details
Royalty Income Query
Calculate royalty income from book sales within a specified date range. Choose between book-specific queries or author-wide summaries.
Query Type
Query Parameters
Royalty Income Results
Calculation Details
Formula:
Note: For books with complex royalty tiers, different rates may apply to different sales volumes.
How to Use
Step-by-Step Instructions:
- Select the date range for your query using the slider
- Search and select a book title from the dropdown
- Optionally choose a specific binding state, or leave blank to see all formats (use × to clear selection)
- Click 'Calculate Royalty Income' to run the query
- View the results in the table below
- Download the results as CSV if needed
Understanding the Results:
- Total Sales: Number of copies sold in the specified date range
- Retail Price: Price per copy at retail
- Royalty Income: Total royalty earned (Sales × Price × Rate)
Genre & Market Analysis
Comprehensive analysis of literary genre trends, market dynamics, and publishing patterns.
Analysis Controls
Analysis Results
Market Insights
Primary Visualization
Market Trends
About This Dashboard
This dashboard enables interactive exploration of a "Database of American Authorship, 1860-1920," drawing upon publishing and sales data from major American publishing houses during the transformative period of the late 19th and early 20th centuries.
Wherever possible, the database includes actual sales figures (or informed estimates) and royalty information for a broad sample of authors and works, allowing for a much more accurate reconstruction of the literary marketplace and facilitating comparative analyses across specific periods and according to variables such as authorship gender, literary genre, binding states, and retail price.
This dynamic, accessible data dashboard aggregates and visualizes economic data for American authorship, from book sales to authorial earnings. This resource will provide a robust foundation for scholars to investigate trends and disparities in the literary marketplace across variables like gender, genre, and historical periods. With this data, researchers will be able to perform longitudinal analyses that reveal shifts over time, offering a valuable perspective on the socio-economic landscape of American literature during this era.
Existing scholarship on this period has often relied on anecdotal evidence from publishers' memoirs and "official" house histories, almost all lacking comprehensive quantitative data. This project, however, moves beyond these sources, building a database grounded in empirical evidence derived from prominent publishers' archives.
Acknowledgments
Shortly after the inception of this project, two research assistants helped code data from the primary sources: Stephen Szaraz (at Harvard) and Matthew Inman (at Penn State). Steve Maczuga at Penn State constructed a preliminary version of the database. As platforms evolved, Mason Slingerland converted the original data files into a form now compatible with Microsoft Excel. Since then, their work has been enhanced by new design possibilities incorporated by other Penn State affiliates: Jennifer Isasi, Nick Mclean, and Siyang Ni. Funding to support this research has come from the College of the Liberal Arts and the Center for the Study of Data Analytics at Penn State.
Project Information
- Principal Investigator:
- Dr. Michael Anesko
- Penn State University
- Data Period:
- 1860-1920
- Total Records:
- 627 books, 27,771 sales records
- Version:
- 1.0.0
- Last Updated:
- February 22, 2026
Technical Details
Built with:
- R Shiny
- PostgreSQL Database
- Interactive Plotly Charts
- Responsive Bootstrap UI
For technical support or questions about this dashboard, please contact the development team.