🚀 Continuous Performance Analytics Dashboard

📊 Overview

The Continuous Performance Analytics Dashboard is a Streamlit-powered web application for tracking, analyzing, and visualizing employee performance over time.

Unlike static weekly/monthly snapshots, this dashboard lets you continuously upload performance reports (CSV files) to build a comprehensive timeline with employee journeys, team insights, and long-term rankings.

It transforms raw CSV inputs into KPIs, interactive charts, trend analyses, and heatmaps, empowering managers and teams to make informed, data-driven decisions.

---

✨ Key Features

• Continuous Data Upload

  • Upload CSV reports anytime to extend the timeline.
  • Tracks both team-wide and individual employee histories.

• Smart Data Cleaning & Mapping

  • Flexible column recognition (works with different naming conventions).
  • Fills missing values and standardizes productivity scores.
  • Auto-creates unique employee identifiers.

• Performance KPIs

  • Total, average, and role-specific metrics:

    • 🎬 Video Editors – Videos Created
    • 🎨 Designers – Designs Created
    • 📝 Account Managers – Scripts Produced, Posts Published, Client Meetings
    • 🎥 Filmmakers – Projects Worked
    • 👥 Team Leaders – Meetings, Weekly Reviews

  • Productivity scores with performance badges (🌟 Excellent, ✨ Good, 📊 Average, ⚡ Needs Focus).

• Visual Analytics

  • 📈 Timeline Analysis – Track team size, outputs, and productivity over multiple reports.
  • 👤 Individual Journeys – Historical output, productivity growth, issues, and comments per employee.
  • 🔥 Heatmap – Compare employee productivity across all reports.
  • 🏆 Long-term Rankings – Identify top performers, consistency levels, and improvement trends.

• Insights & Feedback

  • Automatic extraction of issues and suggestions from reports.
  • Trend insights highlighting recent performance changes.
  • Spotlight cards for top performers and team growth.

---

🖥️ Getting Started

Install Dependencies

pip install streamlit pandas plotly numpy matplotlib wordcloud

Run the App

streamlit run performance_dashboard.py

Upload Data

• Upload one or more weekly CSV reports in the sidebar.
• Each new file extends the continuous timeline automatically.

Required columns (flexible naming supported):

• Name, Role, Week Start Date, Week End Date
• Role-specific metrics (e.g., Videos Created, Designs Created, Scripts Produced, etc.)

---

📂 Views Available

• 📊 Overview – All-time KPIs and comparison of first vs latest report.
• 📈 Timeline Analysis – Trends in output, productivity, and team growth.
• 👤 Individual Journey – Employee-specific performance timelines and feedback history.
• 🔥 Heatmap – Visual team-wide performance distribution.
• 🏆 Rankings – Long-term top performers and comprehensive scores.

---

⚙️ Under the Hood

• Class ContinuousPerformanceDashboard handles:

  • Data cleaning & column mapping
  • Timeline management (multi-file uploads)
  • KPI calculations & trend metrics
  • Interactive Plotly charts & heatmaps
  • Individual employee history rendering
  • Long-term rankings with consistency and improvement scoring

---

🛠️ Technologies

• Streamlit – Interactive UI framework
• Pandas / NumPy – Data cleaning & calculations
• Plotly – Interactive charts & visualizations
• Matplotlib + WordCloud – Word cloud generation
• Regex, Datetime – Data parsing & cleaning

---

🚀 Benefits

• Continuous tracking of performance across multiple weeks.
• Rich employee timelines with personal improvement insights.
• Visual analytics for spotting trends and team growth.
• Ranking system for long-term recognition.
• Flexible CSV handling for real-world data variety.

---

📌 Future Roadmap

• Export insights as PDF reports.
• Compare performance across multiple months/quarters.
• Integration with Google Sheets / APIs for real-time data.
• Secure user authentication for team-based access.

---

🔗 Live Demo

DEMO

👨‍💻 Credits

Designed & developed by Reda HEDDAD

---