Picture this – the data science team you manage primarily uses R and heavily relies on dplyr for implementing data processing pipelines. All is good, but then out of the blue you’re working with a client that has a massive dataset, and all of a sudden dplyr becomes the bottleneck. …
Continue reading: <a href=“https://www.r-bloggers.com/2023/12/r-data-processing-frameworks-how-to-speed-up-your-data-processing- …