Dynamic Property Valuation Sensitivity Model

Create an Excel workbook with a comprehensive property valuation sensitivity analysis that dynamically adjusts property value based on multiple input variables. Develop a Monte Carlo simulation using data tables and probabilistic modeling that can simultaneously calculate potential value ranges for residential and commercial properties. The model should include sensitivity sliders for variables like market appreciation rate, local economic indicators, property condition score, and comparative market analysis data. Include visualization tools that can instantly generate heat maps and probability distribution charts showing potential valuation outcomes.