🏛️ Dashboard: Committee Performance & Network Analytics

## 📋 Issue Type
Feature - Data Visualization Dashboard

## 🎯 Objective
Implement comprehensive committee performance and network dashboard displaying productivity metrics, decision effectiveness, network connections, and temporal activity patterns across Riksdag's 15+ committees using CIA platform data with D3.js network visualizations.

## 📊 Current State
- No committee-specific visualizations
- CIA committee data available but not consumed
- No committee network diagrams
- No productivity matrix displays

## 🚀 Desired State
Interactive dashboard featuring:
- **Committee Network Diagram**: D3.js network showing inter-committee connections
- **Productivity Matrix**: Committee productivity over time (heat map)
- **Decision Effectiveness**: Committee decision outcomes
- **Activity Patterns**: Temporal committee activity (seasonal trends)
- **Committee Comparison**: Cross-committee benchmarking

## 📊 CIA Data Integration Context

**CIA Product(s)**: 
- Committee Network Analysis Dashboard
- Committee Productivity Metrics
- Committee Performance Scorecard

**Data Sources**:
```
Primary CSV Files:
Committee Productivity:
- distribution_committee_productivity.csv (productivity breakdown)
- distribution_committee_productivity_matrix.csv (temporal matrix)
- percentile_committee_productivity_matrix.csv (P1-P99 percentiles)

Committee Activity:
- distribution_committee_activity.csv (activity levels)
- distribution_annual_committee_documents.csv (documents by year)
- distribution_annual_committee_assignments.csv (assignments by year)

Committee Decisions:
- view_riksdagen_committee_decisions.csv (decision records)
- view_riksdagen_committee_ballot_decision_summary.csv (ballot decisions)
- distribution_committee_decision_type_org_summary.csv (decision types)

Network Analysis:
- view_riksdagen_committee_ballot_decision_party_summary.csv (party connections)
- view_riksdagen_committee_ballot_decision_politician_summary.csv (MP connections)

Seasonal Patterns:
- percentile_seasonal_activity_patterns.csv (seasonal trends)

Sample Size: 500 rows (committee data)
Coverage: 15+ committees, 50+ years historical
```

**Sample Data**: Reference https://github.com/Hack23/cia/tree/master/service.data.impl/sample-data/

**Methodology**: 
- Network analysis from committee membership overlaps
- Productivity scoring based on output volume and quality
- Seasonal pattern detection (quarterly analysis)
- Percentile benchmarking (P50, P75, P90)

**Implementation Notes**:
- Fetch CSV files via GitHub raw content API
- Cache locally in `/data/cia/committees/`
- Update frequency: Weekly (committee activities weekly)
- Handle 15+ Swedish Riksdag committees

## 🔧 Implementation Approach

### 1. Data Integration
```javascript
async function loadCommitteeData() {
  const datasets = {
    productivity: 'distribution_committee_productivity_matrix.csv',
    decisions: 'view_riksdagen_committee_decisions.csv',
    activity: 'distribution_annual_committee_documents.csv',
    network: 'view_riksdagen_committee_ballot_decision_party_summary.csv',
    seasonal: 'percentile_seasonal_activity_patterns.csv'
  };
  
  const data = await fetchMultipleCIADatasets(datasets);
  
  return {
    productivityMatrix: buildProductivityMatrix(data.productivity),
    network: buildCommitteeNetwork(data.network),
    seasonal: analyzeSeasonalPatterns(data.seasonal)
  };
}
```

### 2. D3.js Network Visualization
```javascript
// Committee network diagram
function renderCommitteeNetwork(data) {
  // Nodes = Committees (15+)
  // Links = Shared members or joint decisions
  // Color = Committee domain (finance, defense, etc.)
  // Size = Productivity score
  
  const svg = d3.select('#committeeNetwork')
    .append('svg')
    .attr('width', width)
    .attr('height', height);
  
  const simulation = d3.forceSimulation(nodes)
    .force('link', d3.forceLink(links).distance(150))
    .force('charge', d3.forceManyBody().strength(-200))
    .force('center', d3.forceCenter(width / 2, height / 2))
    .force('collision', d3.forceCollide().radius(50));
  
  // Add tooltips with committee details
  nodes.on('mouseover', showCommitteeTooltip)
       .on('click', showCommitteeDetails);
}
```

### 3. D3.js Productivity Heat Map
```javascript
// Committee productivity matrix (time × committee)
function renderProductivityMatrix(data) {
  const svg = d3.select('#productivityMatrix')
    .append('svg');
  
  // Y-axis = Committees (15+)
  // X-axis = Years/Quarters
  // Color = Productivity score (green=high, red=low)
  
  const heatmap = svg.selectAll('rect')
    .data(data)
    .enter()
    .append('rect')
    .attr('x', d => xScale(d.period))
    .attr('y', d => yScale(d.committee))
    .attr('width', cellWidth)
    .attr('height', cellHeight)
    .attr('fill', d => colorScale(d.productivity))
    .on('mouseover', showProductivityTooltip);
}
```

### 4. HTML Structure
```html
<section id="committee-dashboard" class="dashboard-container">
  <h2>🏛️ Committee Performance & Network</h2>
  
  <div class="dashboard-grid">
    <div class="chart-card wide">
      <h3>Committee Network Diagram</h3>
      <div id="committeeNetwork" role="img" aria-label="Committee network connections"></div>
      <table class="sr-only" id="committeeNetworkTable">
        
      </table>
    </div>
    
    <div class="chart-card wide">
      <h3>Productivity Matrix (2020-2026)</h3>
      <div id="productivityMatrix"></div>
    </div>
    
    <div class="chart-card">
      <h3>Committee Comparison</h3>
      <canvas id="committeeComparisonChart"></canvas>
    </div>
    
    <div class="chart-card">
      <h3>Decision Effectiveness</h3>
      <canvas id="decisionEffectivenessChart"></canvas>
    </div>
    
    <div class="chart-card wide">
      <h3>Seasonal Activity Patterns</h3>
      <canvas id="seasonalPatternsChart"></canvas>
    </div>
  </div>
</section>
```

### 5. Committee List (Swedish Riksdag)
```javascript
const COMMITTEES = [
  { code: 'AU', name: 'Foreign Affairs Committee', color: '#1e88e5' },
  { code: 'CU', name: 'Civil Affairs Committee', color: '#43a047' },
  { code: 'FiU', name: 'Finance Committee', color: '#fb8c00' },
  { code: 'FöU', name: 'Defense Committee', color: '#e53935' },
  { code: 'JuU', name: 'Justice Committee', color: '#8e24aa' },
  { code: 'KU', name: 'Constitutional Committee', color: '#3949ab' },
  { code: 'KrU', name: 'Cultural Affairs Committee', color: '#00acc1' },
  { code: 'MjU', name: 'Environment Committee', color: '#7cb342' },
  { code: 'NU', name: 'Business Committee', color: '#ff6f00' },
  { code: 'SkU', name: 'Taxation Committee', color: '#d32f2f' },
  { code: 'SoU', name: 'Social Insurance Committee', color: '#c2185b' },
  { code: 'TU', name: 'Transport Committee', color: '#0097a7' },
  { code: 'UbU', name: 'Education Committee', color: '#5e35b1' },
  { code: 'UFöU', name: 'Foreign Defense Committee', color: '#f57c00' },
  { code: 'UU', name: 'Foreign Affairs Sub-Committee', color: '#1565c0' }
];
```

### 6. Accessibility
- Network diagram keyboard navigation
- Alternative tables for all visualizations
- ARIA labels and descriptions
- High contrast mode
- Focus indicators

## 🤖 Recommended Agent
**data-visualization-specialist** - Expert in D3.js network diagrams, heat maps, and committee analytics

**Rationale**: Requires advanced D3.js expertise for network diagrams and heat maps, plus understanding of Swedish parliamentary committee structure.

**Custom Instructions**:
```
- Use D3.js v7+ for network diagram and heat map
- Use Chart.js for time series and bar charts
- Implement committee network with 15+ nodes
- Create productivity heat map (quarters × committees)
- Use committee-specific color coding
- Add zoom/pan to network diagram
- Ensure WCAG 2.1 AA accessibility
- Support all 14 languages (committee names)
- Cache committee data locally
- Update weekly (committee activities)
- No JavaScript frameworks (vanilla JS + D3/Chart.js)
```

## ✅ Acceptance Criteria

### Data Integration
- [x] CIA committee CSV files fetched and parsed
- [x] Productivity matrix data processed
- [x] Network connections calculated
- [x] Seasonal patterns analyzed
- [x] Local caching in `/data/cia/committees/`

### Network Diagram
- [x] D3.js force-directed graph with 15+ committees
- [x] Committee-specific colors assigned
- [x] Node size = productivity score
- [x] Links = shared members/decisions
- [x] Interactive: click for details, drag to rearrange
- [x] Zoom and pan functionality

### Productivity Matrix
- [x] D3.js heat map (time × committee)
- [x] Color scale: green (high) to red (low)
- [x] Interactive tooltips with details
- [x] Quarterly or annual view toggle
- [x] Percentile benchmarks displayed

### Quality
- [x] HTML validation passes
- [x] WCAG 2.1 AA compliance
- [x] Color-blind friendly palette
- [x] Responsive design (320px-1440px+)
- [x] Load time < 4 seconds
- [x] D3.js v7+ and Chart.js via CDN with SRI

### Seasonal Analysis
- [x] Seasonal activity patterns displayed
- [x] Q1-Q4 breakdown
- [x] Identify high/low activity periods
- [x] Trend lines for multi-year patterns

### Multi-Language
- [x] Committee names localized (14 languages)
- [x] Swedish abbreviations (AU, FiU, etc.) preserved
- [x] Chart labels translated
- [x] Tooltips localized

### Documentation
- [x] Committee network methodology
- [x] Productivity scoring explained
- [x] Seasonal pattern detection algorithm
- [x] Update ARCHITECTURE.md with committee component

## 📚 References
- **Repository**: https://github.com/Hack23/riksdagsmonitor
- **CIA Sample Data**: https://github.com/Hack23/cia/tree/master/service.data.impl/sample-data
- **CIA Committee Analysis**: Focus on committee_* CSV files
- **Swedish Riksdag Committees**: https://www.riksdagen.se/sv/utskott-eu-namnden/
- **D3.js Force Graph**: https://d3-graph-gallery.com/network.html
- **D3.js Heat Map**: https://d3-graph-gallery.com/heatmap.html
- **ISMS Policy**: https://github.com/Hack23/ISMS-PUBLIC/blob/main/Secure_Development_Policy.md

## 🏷️ Labels
`type:feature`, `priority:high`, `component:visualization`, `component:data-integration`, `agent:data-visualization-specialist`, `cia-data`, `dashboard`, `committee-analytics`, `network-diagram`, `heat-map`

## 🌐 Multi-Language Support
All 14 languages supported with localized committee names

## 🔐 Security & Compliance
- **Public Data**: Parliamentary committee records (public domain)
- **No PII**: Aggregated committee-level data
- **HTTPS-only**: Secure data transmission
- **SRI**: D3.js and Chart.js with integrity hashes
- **ISMS**: Follows committee data standards

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🏛️ Dashboard: Committee Performance & Network Analytics #54

📋 Issue Type

🎯 Objective

📊 Current State

🚀 Desired State

📊 CIA Data Integration Context

🔧 Implementation Approach

1. Data Integration

2. D3.js Network Visualization

3. D3.js Productivity Heat Map

4. HTML Structure

5. Committee List (Swedish Riksdag)

6. Accessibility

🤖 Recommended Agent

✅ Acceptance Criteria

Data Integration

Network Diagram

Productivity Matrix

Quality

Seasonal Analysis

Multi-Language

Documentation

📚 References

🏷️ Labels

🌐 Multi-Language Support

🔐 Security & Compliance

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

🏛️ Dashboard: Committee Performance & Network Analytics #54

Description

📋 Issue Type

🎯 Objective

📊 Current State

🚀 Desired State

📊 CIA Data Integration Context

🔧 Implementation Approach

1. Data Integration

2. D3.js Network Visualization

3. D3.js Productivity Heat Map

4. HTML Structure

5. Committee List (Swedish Riksdag)

6. Accessibility

🤖 Recommended Agent

✅ Acceptance Criteria

Data Integration

Network Diagram

Productivity Matrix

Quality

Seasonal Analysis

Multi-Language

Documentation

📚 References

🏷️ Labels

🌐 Multi-Language Support

🔐 Security & Compliance

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions