Data manipulation with R – Week #3 Update (Jay)

Hello all,

I did a couple of things in the past week:

  • Learned about the dplyr library in R, which helps get data frames and matrices in a useable format and wrote an R script to merge some data files from a plant trait database.
  • Learned about parallelizing matrix operations with mpi4py.
  • Learned about remote sensing and geospatial mapping with LIDAR (which also maybe where self-driving car technology may go as LIDAR gets cheaper).
  • Learned about data visualization with ggplot2 utilizing the Grammar of Graphics.
  • Read some cool articles about predicting missing data values from sparsely populated data sets.

If you are using R and need to convert or transform data in a particular format, then dpylr is extremely useful. Here’s some documentation:



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