PAL4C Labs | Data Analysis in Palantir Foundry: Contour vs Quiver

This PAL4C Labs walkthrough uses one set of equipment and parts data to compare Foundry’s two main analysis tools, Contour and Quiver. Part 1: Contour Two course datasets are brought into a Contour analysis. Data prep: filtering, renaming columns, removing the “P-” prefix from part purity values, and changing purity from text to a number. Parts are joined to equipment by ID, with averages added to give the numbers context. Charts include a histogram of inspection alert severity, a pivot table, and a bar chart of purity by part. These are combined into a dashboard you can filter. Part 2: Quiver The equipment and parts datasets are imported, with a graph showing how the objects relate to each other. Transform tables handle the join, the filtering, and the same purity cleanup as in Contour. Charts include a plot, a histogram, a bar chart and a custom Vega chart, combined into a dashboard with a plant selector. One lesson from the demo: switching to Plant 2 updates every chart except the Vega one. That’s because the filter was added after the transform that feeds the Vega chart, so the order of steps matters. Built by PAL4C Labs, specialists in operational intelligence on Palantir Foundry and AIP.