The final project asks you to expand a baseline Economic Hardship Index (EHI) by adding one to four additional indicators and analyze how the spatial patterns, hot spot clusters, and policy implications change. This is fundamentally an exercise in measurement sensitivity analysis — a core skill in applied policy research. You are not writing new code. You are uncommenting pre-built options, re-rendering the dashboard, and writing substantive analysis of what changes and why. The instructor dashboard uses a 3-variable baseline EHI (poverty rate, unemployment rate, median household income). Your student dashboard includes four additional variables that are commented out by default. By uncommenting one or more, you expand the index and observe how the spatial story shifts.