Why
Making data usable
The idea started while I was looking at crime data. Reliable crime data is hard to get, hard to compare, and often incomplete. That pushed me toward a different question: could other public data reveal similar patterns from another angle?
Census data does not measure crime directly. It measures the social and economic conditions around people: education, employment, housing, services, household resources, and pressure. My hunch is that many visible outcomes in a city are connected to those underlying conditions, so mapping them can become a useful starting point for asking better questions.
Data
What the map shows
The current version uses census-derived variables aggregated into states, municipalities, and hexagons. Metrics include a socioeconomic index, education, employment, housing quality, services access, household goods access, and pressure indicators such as overcrowding, marginalization, and dependency.
Reading
Start broad, then inspect locally
Begin with the national view, choose a metric, then select a state or municipality to inspect finer detail. The colors are meant to reveal relative patterns, not final answers. The dashboard panels are there to help compare areas faster than reading the map alone.
