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Attribute Tables
The main focus of this lab was working with U.S. demographic and geographic datasets in ArcGIS Pro, using classification and symbology tools to turn raw data into readable, meaningful maps.
The first map displays Median Age Range by County across the U.S., which involved pulling in the dataset and using custom symbology to create a color gradient that communicates age variation geographically. It's one of those maps where the right color scheme makes all the difference done well, patterns jump out immediately; done poorly, it just looks like noise.
The second takes that demographic lens a step further by highlighting counties with both high populations and high old-to-young ratios. That kind of combined filter is where the analysis starts to get interesting, because it moves beyond just displaying data and starts asking actual questions about it; where are these places, and what might that mean for things like healthcare demand or workforce trends?
The most challenging piece of the lab was putting together the Mason County Soil Fertility map. The tools needed for that one weren't as familiar, and it took some trial and error to figure out the right approach.
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