Jared Lander

Maps are one of the best forms of data visualization that readily understood while conveying a considerable amount of information. With the modern web, interactive, pannable, zoomable maps---known as slippy maps---have become the norm. Thanks to packages like {leaflet} it has never been easier to ge

Installing the data science stack, including the RStudio suite of products, poses it's own challenges even in ordinary environments, but this gets significantly more difficult in locked down and airgapped environments. We have successfully installed tools in a variety of environments in different st

Most companies don't have big data, but rather medium data, that awkward in between where the data are too big to fit in memory but not big enough for Google-scale systems. Fortunately R has many options for working with data of this size. We will look at using the command line, {data.table} and {dp

When facing a problem on a few millions rows of data, Jared wrote code that took hours to run, if at all. To speed things up he first split the data into smaller pieces, then did so in a smarter way. Still needing faster results, he wrote a custom function with a smarter algorithm, then sped it up f

While babies are commonly called bundles of joy, they are also bundles of data. Being the child of a data scientist and neuroscientist my son was certain to be analyzed myriad ways. So in this talk I'll discuss how we used data to narrow down possible names then look at using time series methods to