There are many reasons that patients fail to make their appointments and there are demographic similarities across patients who no-show more consistently than others. Practice managers work hard to reduce no-shows using a variety of strategies, but often those strategies involve manual processes or difficult-to-enforce policies, resulting in a low impact.
The aim of this project is to carry out an exploratory data analysis of the no-show appointment data
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