I’m back on the R thang with F1 data from ergast.com, and started having a look at how drivers and teams compare at a circuit. One metric I came across for comparing teams over a season is the supertime, typically calculated for each manufacturer as the average of ...

Modern MacBook Pros have a fairly useless (c’mon, admit it!) “Touch Bar” that did little more than cause severe ire in the developer community after turning a full-fledged, tactile Escape key into a hollow version if its former self. Having said, that, some apps do make OK use of ...

Almost everybody that handles large data sets in R is familiar with the data.table package. It provides several functions to subset, merge, and manipulate tabular data. The post Benchmarking the six most used manipulations for data.tables in R appeared first on Opremic.

If you read my reflection #1 on rOpenSci Onboarding, then you know I see value in the Onboarding process. A LOT of value even. This post is about where that value lies. This question has important corollaries which I will explore here based on my experience as a reviewer of bowerbird: ...

Geospatial data is becoming increasingly used to solve numerous ‘real-life’ problems (check out some examples here.) In turn, R is becoming a powerful open-source solution to handle this type of data, currently providing an exceptional range of functions and tools for GIS and Remote Sensing data analysis. In particular, raster ...

Preface I’ve realized that all my previous posts were quite substantial in length and took quite a long time to create them. From this point forward I’ll be generating posts of shorter length (partially for my sanity and more for my impulsivity with ideas). A few of these ...

I have noticed even people who claim everything is predestined, and that we can do nothing to change it, look before they cross the road (Stephen Hawking) Imagine a salesman and a set of cities. The salesman has to visit each one of the cities starting from a certain one ...

Four years ago today authors Nina Zumel and John Mount received our author’s copies of Practical Data Science with R! It has its imitators, but it remains the best “I have R, now what do I do with it?” book (as it works the user through non-trivial projects, analyses, ...

There’s a yuge chance you’re reading this post (at least initially) on R-Bloggers right now (though you should also check out R Weekly and add their live feed to your RSS reader pronto!). It’s a central “watering hole” for R folks and is read by many (IIRC ...

Nic Crane, Data Scientist This article was first published on Nic Crane's Blog and kindly contributed to the Mango Blog. I’m going to begin this post somewhat backwards, and start with the conclusion: tidy eval is important to anyone who writes R functions and uses dplyr and/or tidyr. ...