Recently my team embarked on a mission to make data more accessible and useful to everyone, creating free resources to utilise whilst studying, analyzing and interpreting data. The first resource we created was 'Data Fallacies to Avoid', an illustrated collection of mistakes people often make when analyzing data. 1. Cherry Picking The practice of selecting results that fit your claim and exclud…
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