decision-visualization

# Decision Visualization ## Overview The Decision Visualization skill provides specialized visualization capabilities for decision support, creating clear, actionable visual representations that communicate analysis results effectively to decision-makers and stakeholders. ## Capabilities - Decision tree diagrams - Strategy tables and consequence matrices - Trade-off scatter plots - Value-of-information graphs - Confidence/uncertainty bands - Waterfall charts for sensitivity - Heat maps for MCDA - Interactive dashboards ## Used By Processes - Executive Dashboard Development - Structured Decision Making Process - Multi-Criteria Decision Analysis (MCDA) - Decision Documentation and Learning ## Usage ### Decision Tree Visualization ```python # Decision tree diagram configuration decision_tree_viz = { "type": "decision_tree", "data": decision_tree_structure, "options": { "node_shapes": { "decision": "square", "chance": "circle", "terminal": "triangle" }, "show_probabilities": True, "show_payoffs": True, "highlight_optimal_path": True, "color_scheme": "sequential", "orientation": "horizontal" } } ``` ### Strategy Table ```python # Strategy comparison table strategy_table = { "type": "strategy_table", "alternatives": ["Strategy A", "Strategy B", "Strategy C"], "criteria": ["Cost", "Time", "Quality", "Risk"], "data": performance_matrix, "options":...