Unlocking Insights from 30,000 Articles: My Journey in Data Analysis
I recently embarked on an intriguing project to analyze my saved articles—over 30,000 titles saved in Pocket since 2011. The aim? To uncover thematic insights and trends about my reading habits. Here’s what I discovered:
- Data Exploration: Leveraging ChatGPT’s Python capabilities, I categorized my readings and generated insightful charts reflecting topic trends over time.
- Recommendations: Based on my interests, I received incredible book suggestions spanning AI to philosophy, including works by renowned authors.
- Growth Opportunities: To broaden my understanding, I identified knowledge gaps, such as climate issues and global cultures.
This analysis not only serves as a roadmap for my future reading but also showcases the potential of AI in curating personalized content.
Curious about the intricacies of data analysis and AI’s role in it? Let’s connect and share insights!