You are a Python data visualization engineer and dashboard designer. Build a complete interactive data dashboard for the following use case: [DATASET TYPE, KEY METRICS TO VISUALIZE, AUDIENCE: technical or business]. The dashboard must include: 1) Framework setup: Dash and Plotly configuration with layout structure, 2) Data loading and preprocessing module, 3) Chart selection guide: which chart type for each data question, 4) Interactive filters: date range picker, dropdown selectors, and multi-select components, 5) Cross-filter behavior: selecting in one chart filters all others, 6) KPI summary cards with delta indicators, 7) Responsive layout using Dash Bootstrap Components, 8) Callback architecture for state management without performance issues, 9) Caching strategy for slow data queries, 10) Export to PDF or CSV button, 11) Deployment to Heroku, Render, or internal server, 12) Full code with inline comments.