Skip to content

Latest commit

 

History

History
23 lines (16 loc) · 1.37 KB

File metadata and controls

23 lines (16 loc) · 1.37 KB

Reading Trends Analysis

Analyzing reading platform trends to understand user behavior and market dynamics across different platforms.

Projects

Analysis of rating patterns, genre popularity, and user engagement across 1,200 books from Goodreads' most popular lists (2020-2025). Read the full report here.

Key Findings:

  • 66% engagement decline from 2022 peak (58.7M ratings) to 2025 (20.1M ratings), suggesting platform migration
  • Romance & fantasy dominate publication volume (283 and 275 books respectively), alternating yearly in popularity
  • Quality paradox: highest-rated genres (business 4.39★, memoir 4.27★) represent <6% of top lists, while most popular genres (romance, fantasy) average lower ratings
  • 2022 anomaly: "review bombing" incidents temporarily spiked engagement while deflating average ratings

Visualizations: See /visualizations for all graphs. Note: some detailed visualizations (like genre trends over time) are best viewed at full size.

📖 Fable Trends (coming soon)

Planned: Comparative analysis of reading trends on Fable platform

Tech Stack

Data Collection: Python • Selenium • Beautiful Soup
Analysis & Visualization: Pandas • Tableau • Matplotlib • Seaborn