Data are fun!

In recent weeks, I have been trying to learn more about using the {paws} software development kit to interact with Amazon Web Services from R. So far, my focus was on the basics of DynamoDB.

blast and BlasterJS I recently learned about a really slick JavaScript component for interactive visualization of NCBI’s blast output. BlasterJS (Website, Paper) makes it possible to visualize blast results in a way similar to the typical viz available on NCBI’s website.

In our previous post we covered some basics of using the paws SDK to interact with AWS DynamoDB from R. We wrote a few simple functions to prepare R lists in the appropriate format for DynamoDB and some wrappers to put these lists as items in the remote NoSQL database.

About {brochure} {shiny}, and the closely linked packages like {bslib}, {thematic}, {shinytest}, etc, are a fantastic resource for R programmers that enable building powerful interactive applications. Building on top of these, are some new (and not so new) R packages that that streamline and standardize the development of {shiny} applications.

R and AWS DynamoDB In recent weeks we’ve been using AWS services for a few our projects. One of the things that came up was to populate DynamoDB tables with data from R.