If you’re not completely new to the data science community (specifically, the #rstats community), then you’ve probably seen a version of the “famous” data science workflow diagram. 1 If one is fairly familiar with a certain topic, then one might not spend much time with the initial “visualize” step ...

This code simulates Normal(0,1), and this visualization shows smaller samples can vary much more than large samples from the true distribution. Maybe it’s not a fascinating picture although there is a deep mystery or two in there. Can we know the tru...

We’ve just released the newest version of NIMBLE on CRAN and on our website. Version 0.6-8 has a few new features, and more are on the way in the next few months. New features include: the proper Gaussian CAR (conditional autoregressive) model can now be used in BUGS code ...

I love emoji ❤️ and I love xkcd, so this recent comic from Randall Munroe was quite a delight for me. I sat there, enjoying the thought of these new sports like horse hole and multiplayer avocado and I thought, “I can make more of these in just the barest handful ...

Introduction Market Basket Analysis or association rules mining can be a very useful technique to gain insights in transactional data sets, and it can be useful for product recommendation. The classical example is data in a supermarket. For each customer … Continue reading →

The concept of categories was introduced in G-Cloud 9. Might they need some adjustments in readiness for the next iteration of G-Cloud? The post Do G-Cloud categories need a tweak? appeared first on thinkr.

Now we’ve recovered from over indulging in Boston’s culinary delights, we’re ready to share our highlights from this year’s EARL Boston Conference. Day 1 highli...

Sentiment Analysis is one of the most obvious things Data Analysts with unlabelled Text data (with no score or no rating) end up doing in an attempt to extract some insights out of it and the same Sentiment analysis is also one of the potential research areas for any NLP (...

Hello R users! We just launched another course today: Working with Dates and Times in R by Charlotte Wickham! Dates and times are abundant in data and essential for answering questions that start with when, how long, or how often. However, they can be...

We have been writing a lot on higher-order data transforms lately: Coordinatized Data: A Fluid Data Specification Data Wrangling at Scale Fluid Data Big Data Transforms. What I want to do now is "write a bit more, so I finally feel I have been concise." The cdata R package supplies ...