Visualizing Income Inequality: Notes from a Census Data Project

Before a chart says anything, the cleaning process has already made decisions. Missing values, grouped categories, and outliers shape the story.

I treated the preparation steps as part of the analysis, not a chore before the analysis begins.

The goal was not to make a dashboard full of charts. It was to make comparison easier across education, occupation, age, and geography.

That pushed me toward simpler visual forms with clearer axes and fewer ornamental choices.

A chart can show a pattern without proving a cause. That distinction matters, especially with income data.

The final notes include caveats because responsible visualization is not just about what is visible. It is also about what remains uncertain.