DimensionalData.jl: Named Dimensions for Julia Data

Explore the capabilities of DimensionalData.jl, a Julia package for working with named dimensions in data arrays, in this JuliaCon 2024 conference talk by Rafael Schouten. Learn how this package stands out with its focus on extensibility, spawning objects across spatial sciences, statistics, machine learning, and image processing. Discover its ability to accurately represent various lookup values and behaviors, including points, intervals, regular and irregular data, ordered and unordered sets, sampled and categorical data, linear and cyclic patterns, and grid-aligned or transformed coordinates. Understand how DimensionalData.jl can handle CF-compliant NetCDF files and GDAL affine transformed coordinates and projections. Gain insights into its plotting capabilities with Plots.jl and Makie.jl recipes. Get a comprehensive overview of both using and extending DimensionalData.jl for package developers in this 17-minute presentation.