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+---
+title: "Visualising high dimensional data with Hiplot"
+layout: single
+excerpt: ""
+tags: [til, visualisation]
+---
+
+Today I learnt about the **parallel coordinates** technique to visualise high dimensional data.
+
+As demonstrated in this [talk](https://youtu.be/C9p7suS-NGk?si=tvpsTHYfemCvuuug), Hiplot is a tool that allows you to visualise high dimensional tabular data. Not only is this useful for exploring a new data set, but it can help you manually find cuts in the data to create a sort of dumb decision tree - useful as a target to beat with a fancier machine learning model later in the project.
+
+The speaker (Vincent Warmerdam), who is also the creator of the amazing [calmcode project](https://calmcode.io/), demonstrates that such a tool can be used to [evaluate the best hyperparameters in a grid search](https://calmcode.io/course/hiplot/grid-search).
+
+Try exploring how the house price in London varies with postcode, property type and number of bedrooms. Narrow down the range of each column, by dragging a box vertically, to see how the price changes (as represented by the colour and right most column)
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+HiPlot
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