# electoral-analysis > Election forecasting, campaign analysis, coalition prediction, voter behavior modeling - Author: James Pether Sörling - Repository: Hack23/riksdagsmonitor - Version: 20260207233310 - Stars: 2 - Forks: 1 - Last Updated: 2026-02-08 - Source: https://github.com/Hack23/riksdagsmonitor - Web: https://mule.run/skillshub/@@Hack23/riksdagsmonitor~electoral-analysis:20260207233310 --- --- name: electoral-analysis description: Election forecasting, campaign analysis, coalition prediction, voter behavior modeling license: Apache-2.0 --- # Electoral Analysis Skill ## Purpose Election forecasting and voter behavior analysis for Riksdagsmonitor's political intelligence platform. ## Core Capabilities ### 1. Election Forecasting - Historical trend analysis (1970-present) - Polling aggregation and weighting - Swing calculations and projections - Confidence intervals and uncertainty modeling ### 2. Campaign Analysis - Media visibility tracking - Issue positioning analysis - Coalition signaling detection - Electoral strategy assessment ### 3. Coalition Prediction - Seat projection modeling - Coalition viability assessment - Policy alignment analysis - Historical pattern recognition ### 4. Voter Behavior Modeling - Demographic voting patterns - Regional variations - Issue salience impact - Turnout forecasting ## Swedish Electoral Context ### Key Metrics - **Turnout**: Typically 85-90% (very high) - **Volatility**: Moderate (10-15% vote swing) - **Fragmentation**: 8 parties in parliament - **Threshold Effects**: 4% creates uncertainty for L, KD ### Historical Data (Elections 1970-2024) - 14 parliamentary elections - Party performance trends - Coalition formation patterns - Electoral system changes ## Visualization for Riksdagsmonitor ### HTML/CSS Dashboard Elements ```html

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``` ## ISMS Compliance ### ISO 27001:2022 - **A.5.10**: Objective forecasting methods - **A.8.3**: Electoral data access control ## References - **Valmyndigheten**: https://www.val.se/ - **Historical Data**: CIA election datasets - **Forecasting Methods**: Nate Silver, FiveThirtyEight