Visualizing Data on a Mesh with Displacement Mapping in R

This page summarizes the projects mentioned and recommended in the original post on news.ycombinator.com

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  1. rayshader

    R Package for 2D and 3D mapping and data visualization

    Looking forward to reading this post but just wanted to say that the work Tyler has done on ray tracing in R is phenomenal. I highly recommend checking out this package website: https://www.rayshader.com

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  3. rayvertex

    3D Software Rasterizer for R

  4. rayrender

    A pathtracer for R. Build and render complex scenes and 3D data visualizations directly from R

  5. r4ds

    R for data science: a book

    My personal favorite resource is "R for Data Science" by Hadley Wickham. It covers lots of nice data manipulation and visualization examples, and provides a good introduction to the tidyverse, which is a particular dialect of R that's well-suited for data analysis. It's available for free at:

    https://r4ds.hadley.nz/

    For more specialized analytical methods there are lots of textbooks out there that provide a deep dive into packages for a specific field (e.g. survival analysis, machine learning, time series), but for general data manipulation and visualization it's hard to beat R4DS.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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