— In the News —
Fantastic article by Jeff Klukas that describes Simple's data analytics stack. The article breaks down their infrastructure, how it's used, the decisions they made along the way, and how their team is organized.
If you like this article, you'll also be interested in these from prior issues of Data Elixir:
Six years ago, the U.S. government made its data "open by default" and since then has made nearly 200,000 datasets available! Nearly 70 other countries have followed suit, opening up an astonishing amount of data. The results have been underwhelming but don't lose hope. Open-data is just getting started.
— Tools and Techniques —
The hardest part of data science isn’t building an accurate model or obtaining good, clean data. It's much harder to define feasible problems and come up with reasonable ways of measuring solutions. There are some great insights here, including examples and ways to approach the issues.
Plot a basketball court, access NBA's game data, and display the movements of the ball or any player. All in R.
Easy to follow TensorFlow examples with code, screenshots, and sample data.
— Data Viz —
There are some fantastic entries in this year's Kantar Information is Beautiful Awards. This link goes to the Data Viz Shortlist and if you like that, the entire site is worth exploring.