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<title>mapschool: Sequential & Categorical: a free introduction to geo</title>
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<h1><a href='./'>mapschool: Sequential & Categorical</a></h1>
<p>a free introduction to geo.</p>
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<p><img src="img/scales.jpg" alt=""></p>
<p>Symbolization tends to highlight two different characteristics of data: sequential and categorical. Sequential, or continuous data could also be called linear - it tends to be number values within a set range, like graduation rates between 0 and 100, or elevation. Categorical, or discrete data is, instead, one of a set number of values - like 'true', 'false', 'democrat' or 'republican'.</p>
<p>This division between data is one of the main concerns for symbolization - a sequential datasource would fit with a scaled point map or a gradient color ramp on a raster, whereas categorical data generally is displayed using multiple symbols for markers, or discrete bucketing of colors.</p>
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