Skip to content

zcoder365/ReadingTrendAnalysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

Β 

History

50 Commits
Β 
Β 
Β 
Β 
Β 
Β 

Repository files navigation

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 4.39β˜…, memoir 4.27β˜…) 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.

πŸ“– Fable Trends (coming soon)

Planned: Comparative analysis of reading trends on Fable platform

Tech Stack

Data Collection: Python β€’ Selenium β€’ Beautiful Soup
Analysis & Visualization: Pandas β€’ Tableau β€’ Matplotlib β€’ Seaborn

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages