You find a data set of Fortune 500 companies spanning over 50 years since the list's first publication in 1955, put together from Fortune's public archive. So, let's say you're a data analyst and you've been tasked with finding out how the profits of the largest companies in the US changed historically. We will walk through a sample analysis, to answer a real-life question, so you can see how the flow of a notebook makes the task intuitive to work through ourselves, as well as for others to understand when we share it with them. Indeed, this article is a Jupyter Notebook! Everything here was written in the Jupyter Notebook environment and you are viewing it in a read-only form.Įxample data analysis in a Jupyter Notebook
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