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Wattpad Author & Story Analysis
To gain insights into top-performing authors, their content, and posting behavior, I scraped and analyzed publicly available data from Wattpad. This project involved examining various facets of author success, genre popularity, and reader engagement patterns to provide a comprehensive report on what drives success on the platform.
Project Details
Tools & Technologies
Python
Jupyter Notebook
Excel
Data Scraping
Data Visualization
Pandas
Key Achievements
- Identified top authors based on followers, story count, and total reads.
- Analyzed genre popularity, highlighting Romance as the dominant category with over 2 billion reads.
- Uncovered posting patterns, showing a peak in 2015 and long story active periods (avg. 2.88 years).
- Correlated readership with engagement, showing that more popular stories receive significantly more votes.
- Analyzed author tenure to show that longevity on the platform is a key factor for top performers.
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