R package for analyzing and visualizing data from Microsoft Workplace Analytics
-
Updated
Aug 28, 2025 - R
R package for analyzing and visualizing data from Microsoft Workplace Analytics
Analyze and predict daily productivity using SQL, machine learning, and psychology. This project combines behavioral data, circadian rhythm analysis, and ElasticNet regression to model focus, stress, and performance, transforming work patterns into actionable insights.
The Workplace Intelligence Accelerator leverages machine learning and big data analytics to combine and transform data, allowing customer to easily identify factors that influence how people work in their organization.
The Workplace Sentiment Analyzer Tool uses the Reddit API to process discussions from work-related subreddits. It applies NLP and data analysis to track sentiment trends and career-related insights across industry discussions.
📊 Track and analyze daily productivity using SQL, machine learning, and behavioral insights to enhance your work efficiency and personal well-being.
📊 Analyze Reddit discussions for clear insights, filtering noise to reveal genuine community opinions in organized, readable markdown.
Add a description, image, and links to the workplace-analytics topic page so that developers can more easily learn about it.
To associate your repository with the workplace-analytics topic, visit your repo's landing page and select "manage topics."