This is a data analytics project utilizing Python v.3 libraries Numpy, PANDAS, Matplotlib & Seaborn through Jupyter Notebook in order to investigate and analyze factors that may potentially affect rates of no shows in roughly 100,000 medical appointments in Brazil.
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This is a data analytics project investigating the multifaceted factors that may influence rates of no shows in doctor's appointments in Brazil using Python Numpy, PANDAS, Matplotlib and Seaborn.
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jpadillo/Investigate-No-Show-Dataset
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This is a data analytics project investigating the multifaceted factors that may influence rates of no shows in doctor's appointments in Brazil using Python Numpy, PANDAS, Matplotlib and Seaborn.
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