This project analyzes layoff trends in the tech industry from March 2022 to February 2025, aiming to provide a data-driven understanding of the causes and impacts of workforce reductions. Our analysis covers multiple perspectives, including:
- Time-series analysis: Tracking layoffs over time and identifying key trends.
- Industry segmentation: Analyzing layoffs across different sub-industries.
- Geospatial distribution: Identifying the most affected regions worldwide.
- News analysis: Extracting key themes and reasons behind layoffs from industry news.
- Social media insights: Analyzing job market discussions from Reddit's jobs section.
By integrating data visualization, news analysis, and social media analysis, this project provides a comprehensive assessment of layoffs in the technology sector.
data/: Contains retrieved and processed datasets.docs/: Hosts interactive visualizations, which are available on GitHub Pages.images/: Stores static images and charts from the analysis.notebooks/: Includes Python notebooks for web scraping and data analysis.
Our data are sourced from:
- Layoffs.fyi - Real-time layoff tracker
- Wikipedia - Company informations, including background details and revenues
- Tech & business news - Articles from TechCrunch, Business Insider, GeekWire, and other industry sources
- Social media discussions - Posts and discussions from Reddit’s r/jobs section
Layoffs, Tech Industry, Job Market, Visualization, Topic Modeling, Natural Language Processing