Parliamentary votes contain much information about the official positions of the members.
Usually this kind of data is complex to handle because of its high dimensionality.
In order to understand it, you need to use statistical techniques capable to summarize the essential information.

We use t-SNE: a technique to represent the space of the votes with two dimensions, keeping much crucial information about the relative position of individual MPs.
It allows us to explore data with a high dimensionality, creating well-defined clusters.

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