Data Tech

A major part of persuading with data is how you present it. For many data scientists and related professionals, the heavy lifting of data crunching is done in Python, R, Julia, Scala, etc. But making interactive visualizations of data and serving up the results in an app yourself means working with JavaScript. If you are like the presenter, starting a second side-career as a front-end developer is not a realistic option. Fortunately, it has gotten easier in the past few years to get the benefits of interactive plotting without having to become a JavaScript expert (and without paying for an expensive licensed product). I will walk through several examples of how to take data from Python code and serve it up for free as interactive plots in easily deployable apps. I will provide examples on github for trying out afterwards.