Pandas, Matplotlib and Seaborn: A Beginner's Guide with Clinic Data

Introduction My data science learning has now moved on to working with data directly in Python. Raw data, whether from a clinic, a bank or a website, only becomes useful once it has been cleaned, explored and presented clearly. Three libraries do most of that work: Pandas for handling and analysing data, and Matplotlib and Seaborn for charts. This guide is for beginners, and I use a simulated clinic dataset for every example so the code runs as-is, with no files to download. Setting Up What Is Pandas, and Why Does It Matter?
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