Basic ML: Data Visualization & Analytics Dashboard

## 📈 **Basic ML: Data Visualization & Analytics Dashboard**

### **Assigned to: @27804balaji**

### **Objective**
Create data visualization and analytics dashboard for FairMind's ML pipeline.

### **Tasks**

#### **1. Data Visualization**
- Implement data distribution plots
- Create correlation analysis visualizations
- Add feature importance visualizations
- Implement model performance charts
- Create bias analysis visualizations

#### **2. Analytics Dashboard**
- Create interactive dashboard components
- Add real-time data visualization
- Implement filtering and sorting
- Create export functionality
- Add dashboard customization

#### **3. ML Metrics Visualization**
- Implement model performance metrics
- Create bias detection visualizations
- Add fairness metrics charts
- Implement explainability visualizations
- Create comparison charts

#### **4. Integration with FairMind**
- Integrate with existing dashboard
- Add new visualization components
- Create responsive design
- Implement real-time updates

### **Technical Requirements**
- Python, Matplotlib, Seaborn, Plotly
- Basic understanding of data visualization
- Experience with dashboard development

### **Success Criteria**
- 10+ visualization components created
- Interactive dashboard functional
- Real-time updates working
- Integration with FairMind complete

### **Learning Opportunities**
- Learn advanced data visualization
- Understand dashboard development
- Practice with real-time data
- Gain experience with ML metrics

## 🏷️ **Labels**
good first issue, enhancement, ai/ml, ui/ux