Welcome to the latest post of the Viz4Sci Substack! In this post we will learn how to reconstruct one of the most famous visualizations of the effects of vaccination of disease prevalence, originally published by the Wall Street Journal in 2015. We’ll use the original WSJ data and build the entire visualization using nothing but matplotlib.
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In a previous post, we explore the inverse correlation between vaccination rates and deaths. Here we explore the effect that vaccination has on disease prevalence, the number of infected individuals per capita.
The original visualization was published in the Wall Street Journal back on Feb 11th, 2015 and covers 7 different disease/vaccine pairs. For simplicity, we’ll focus on the figure for Measles, a childhood diesease that used to kill up to 2.6 million people per year, before the advent of va…
