This section details on the original issue you should resolve

<issue_title>Dashboard Data Quality: Download and Integrate Missing CIA CSV Files</issue_title>
<issue_description>## 📋 Issue Type
Performance / Data Integration

🎯 Objective

Download and integrate all missing CIA Platform CSV files to eliminate empty/sparse data in dashboards and replace mock data fallbacks with real intelligence data from the CIA Platform PostgreSQL views.

📊 Current State

Data Quality Analysis

Measured: 2026-02-18

Empty/Sparse CSV Files (< 1KB):

• distribution_crisis_resilience.csv - 441 bytes (15 lines)
• distribution_experience_levels.csv - 218 bytes (9 lines)
• distribution_influence_buckets.csv - 188 bytes (7 lines)
• distribution_ministry_risk_levels.csv - 91 bytes (2 lines) ⚠️
• distribution_ministry_risk_quarterly.csv - 405 bytes (17 lines)
• distribution_politician_risk_levels.csv - 83 bytes (3 lines) ⚠️
• distribution_risk_by_party.csv - 466 bytes (27 lines)
• distribution_risk_score_buckets.csv - 164 bytes (8 lines)
• distribution_voting_anomaly_classification.csv - 66 bytes (2 lines) ⚠️
• percentile_risk_score_evolution.csv - 519 bytes (30 lines)
• percentile_voting_anomaly_detection.csv - 278 bytes (13 lines)

Total: 11 files with insufficient data for meaningful visualization

Mock Data Fallback Active:

• js/risk-dashboard.js - Uses generated mock data when CSV is empty
• Risk assessment dashboard showing synthetic data instead of real CIA intelligence

Available in CIA Repository:

• 50+ CSV files in https://github.com/Hack23/cia/tree/master/service.data.impl/sample-data/
• Real PostgreSQL view exports with complete data
• Includes: party performance, election cycles, committee activity, ministry data, seasonal patterns

🚀 Desired State

Complete Data Coverage:

• ✅ All distribution_* CSV files populated with real data
• ✅ All percentile_* CSV files populated with real data
• ✅ Risk dashboard uses real CIA intelligence (no mock data)
• ✅ Ministry dashboards show actual government performance
• ✅ Anomaly detection based on real voting patterns
• ✅ Election cycle predictions use historical data (1994-2024)

File Size Targets:

• distribution_politician_risk_levels.csv: > 10KB (400+ politicians)
• distribution_ministry_risk_levels.csv: > 5KB (all ministries)
• distribution_voting_anomaly_classification.csv: > 10KB (all anomaly types)
• All other distribution files: > 5KB minimum

📊 CIA Data Integration Context

CIA Product(s):

• Party Performance Dashboard
• Risk Assessment Intelligence
• Ministry Effectiveness Scorecard
• Committee Productivity Matrix
• Election Cycle Analysis
• Seasonal Activity Patterns
• Anomaly Detection Intelligence

Data Source:

• Repository: https://github.com/Hack23/cia/tree/master/service.data.impl/sample-data/
• PostgreSQL Views: Real production database exports
• Format: CSV with UTF-8 encoding, comma-delimited

Sample Data Examples:

• view_riksdagen_politician_sample.csv - 2081 lines (2.1MB)
• view_riksdagen_politician_experience_summary_sample.csv - 2095 lines
• distribution_annual_committee_documents.csv - 820 lines
• distribution_party_momentum.csv - 451 lines
• view_riksdagen_committee_decisions.csv - 503 lines

Methodology:

• CIA Platform OSINT methodology from DATA_ANALYSIS_INTOP_OSINT.md
• 45 risk rules across 349 MPs (15,705 assessment points)
• Historical data: 2494 politicians (1971-2024)
• Real-time parliamentary data integration

Implementation Notes:

• Review data manifest: /cia-data/data-manifest.json
• Existing download script: /cia-data/download-csv.sh
• Validate against schemas in CIA repo
• Check for new files added since last sync

🔧 Implementation Approach

1. Data Discovery & Inventory (2 hours)

# Clone CIA repo sample-data directory
git clone --depth 1 --filter=blob:none --sparse https://github.com/Hack23/cia.git /tmp/cia-repo
cd /tmp/cia-repo
git sparse-checkout set service.data.impl/sample-data

# Generate file inventory
find service.data.impl/sample-data -name "*.csv" -type f -exec ls -lh {} \; > /tmp/cia-csv-inventory.txt

# Compare with existing riksdagsmonitor files
comm -23 <(sort /tmp/cia-csv-inventory.txt) <(cd /path/to/riksdagsmonitor && ls cia-data/*.csv | sort)

2. Download Missing/Updated Files (3 hours)

# Update download-csv.sh script to include all missing files
cd /path/to/riksdagsmonitor

# Add new file mappings to download-csv.sh:
MISSING_FILES=(
  "distribution_party_performance.csv"
  "distribution_annual_ballots.csv"
  "distribution_annual_party_members.csv"
  "distribution_gender_by_party.csv"
  "distribution_behavioral_patterns_by_party.csv"
  "distribution_decision_patterns_by_party.csv"
  "top10_*.csv"  # All Top 10 rankings
  # ... (complete list from inventory comparison)
)

# Download with validation
./cia-data/download-csv.sh --validate --update-manifest

3. Da...