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US Election 2020: Interactive Dashboard on Tableau Public

What happens when you visualize the 2020 US presidential election results in Tableau — and let the viewer simulate alternative outcomes? A data project as a thought experiment.

We built an interactive dashboard on Tableau Public for the 2020 US presidential election. The goal was not to report the news — the results were known — but to explore: what do the data really show when you look deeper? How are votes distributed at the state level? Which swing states could have flipped the outcome, and by how much?

Thinking at state level

The American electoral system is not a popular vote but a federal system with an Electoral College. That makes the visualization more interesting — and more complex. Each state carries its own weight in the Electoral College. Looking only at total vote counts does not explain the result. The dashboard makes this mechanism visible: it shows not just who won, but which states were the deciding factor — and what a swing of a few thousand votes in Pennsylvania or Georgia would have meant.

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Simulating alternative outcomes

The most interesting part of the dashboard is the simulation layer. Users can interactively flip individual states and see in real time how that changes the Electoral College distribution. It is a simple exercise — but it makes one thing clear: elections are not won in averages, they are won in a small number of key states. This principle applies far beyond politics: in business management too, a handful of critical variables often determine the overall outcome.

The dashboard works best on a large monitor — the US map needs room to have impact. It is an example of what Tableau can do in the hands of an experienced analyst: not just display data, but generate understanding.
Good visualizations don't just explain what happened — they make it possible to experience why it happened and what could have been different.

Sascha Lübow-Westendorf

Partner & Founder at Pentalink. Advisor for Data Architecture, Digital Finance and data-driven business management.

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