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An interactive Power BI dashboard that visualizes the impact of remote work on employee well-being, including mental health, productivity, stress, and lifestyle patterns across various job roles and regions.

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Manish210103/WorkSphere

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WorkSphere

This interactive Power BI dashboard visualizes the impact of remote work on employees' mental health, productivity, stress levels, and lifestyle choices across different job roles and regions.

Dashboard Screenshot


πŸ“Œ Project Overview

Remote work has reshaped how organizations operate and how employees manage their work-life balance. This dashboard analyzes multiple aspects of remote work and its implications on:

  • Mental health conditions (Burnout, Anxiety)
  • Stress and productivity levels
  • Sleep and physical activity patterns
  • Workload and job satisfaction
  • Work location preferences and their impact

πŸš€ Features

  • Total Mental Health Cases tracker
  • Workload vs. Work-Life Balance correlation analysis
  • Job Role-based Filtering
  • Work Location Distribution (Remote, Hybrid, Onsite)
  • Mental Health Condition Spread (Burnout, Anxiety)
  • Sleep Quality & Physical Activity Analysis
  • Regional Stress Distribution
  • Stress Level Distribution
  • Employee Productivity & Satisfaction Breakdown
  • Job Role-based Productivity Trends

πŸ›  Tech Stack

  • Power BI: Data visualization and dashboard creation
  • CSV/Excel: Source data inputs

πŸ—‚ Dataset Overview

Columns used (example structure):

  • Job_Role
  • Work_Location
  • Hours_Worked_Per_Week
  • Work_Life_Balance_Rating
  • Mental_Health_Condition
  • Stress_Level
  • Sleep_Quality
  • Physical_Activity
  • Region
  • Productivity_Change
  • Satisfaction_Level

πŸ§‘β€πŸ’» How to Use

  1. Download the .pbix file (Power BI Desktop file).
  2. Open with Microsoft Power BI Desktop.
  3. Connect to your dataset (if not embedded).
  4. Interact with slicers and visuals to explore:
    • Filter by job roles
    • View trends by location and role
    • Examine stress, mental health, and productivity patterns

πŸ“ˆ Key Insights (Sample)

  • Average weekly hours worked: ~40 hours
  • Most employees experience moderate to high stress regardless of physical activity
  • Hybrid work models show slightly better sleep quality
  • Mental health concerns like burnout and anxiety are evenly spread across job roles

πŸ“ƒ License

This project is for educational and analytical purposes. For commercial use, please contact the author.

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An interactive Power BI dashboard that visualizes the impact of remote work on employee well-being, including mental health, productivity, stress, and lifestyle patterns across various job roles and regions.

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