Thijssen, JulianTian, ZonglinTelea, AlexandruAngelini, MarcoEl-Assady, Mennatallah2023-06-102023-06-102023978-3-03868-222-62664-4487https://doi.org/10.2312/eurova.20231098https://diglib.eg.org:443/handle/10.2312/eurova20231098We present a set of interactive visual analysis techniques aiming at explaining data patterns in multidimensional projections. Our novel techniques include a global value-based encoding that highlights point groups having outlier values in any dimension as well as several local tools that provide details on the statistics of all dimensions for a user-selected projection area. Our techniques generically apply to any projection algorithm and scale computationally well to hundreds of thousands of points and hundreds of dimensions. We describe a user study that shows that our visual tools can be quickly learned and applied by users to obtain non-trivial insights in real-world multidimensional datasets.Attribution 4.0 International LicenseCCS Concepts: Human-centered computing -> Visualization techniques; Visual analyticsHuman centered computingVisualization techniquesVisual analytics10.2312/eurova.2023109861-666 pages