layoffs
Here are 36 public repositories matching this topic...
Track and Document Your Weekly Work with devtrackr!
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Jan 29, 2025 - JavaScript
Layoff Lens (Group 11) - A workforce trend dashboard for job seekers.
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Mar 8, 2026 - Python
SQL project analyzing company layoffs over the past 3–4 years. Includes data cleaning (handling duplicates, nulls, formatting, standardize data ) and exploratory data analysis (EDA) to identify layoff trends. @AlexTheAnalyst
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Feb 28, 2025
an experimental layoff tracking repo for the recent tech layoffs in the United States
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Jan 20, 2023 - Python
Recently, Meta lately let go 13% of its staff, or further than 11,000 people, due to the recent profitable recession. This dataset was created with the expedients that it'll help the Kaggle community examine the current technological earthquake and unearth perceptive facts.
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Feb 8, 2023
Performed data visualization using Tableau to track and analyze tech layoffs trends. Obtained data from Kaggle, utilized various charts to communicate insights, user-friendly interface.
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Feb 11, 2023
LayoffsTracker is a data visualization dashboard focused on tracking layoffs in the tech industry. It provides insightful, real-time charts and timelines to explore job cuts by company, date, and sector.
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Mar 6, 2026 - TypeScript
A live dashboard tracking tech industry layoffs, built with React.
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Mar 5, 2026 - JavaScript
This project is about cleaning and preparing a global layoffs dataset for analysis, focusing on handling null values, correcting data types, and ensuring data integrity for more accurate insights.
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Aug 30, 2024
Full SQL project using MySQL to clean and analyze a real-world tech layoff dataset from 2020–2023.
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Jul 1, 2025
Unofficial project to automatically run BigLocalNews' WARN (layoff notice) scraper, commit what it finds
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Feb 6, 2022 - Python
A SQL-driven analysis of global layoffs during COVID-19, highlighting industry impact, geographic trends, and workforce shifts.
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Jun 30, 2025
UC Davis STA 220 Web Scraping Project
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Mar 26, 2024 - Jupyter Notebook
Python VAR implementation of "Macroeconomic Variables that directly affects the Layoffs in Tech Sector"
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Apr 1, 2024 - Python
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