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: