Blog

Mar
2014

What is R and Why Should You Use It?

The ability to analyse and interpret data is becoming an increasingly critical factor in driving commercial innovation and success. Businesses are collecting data on a scale previously unseen, but if you want to understand and use your data, how do you go about it?

read more
Jan
2014

Hidden Data and Surviving a Sinking Ship: Simpson’s Paradox

When dealing with data it generally pays to be curious, rather than take them at face value. Blindly analysing the data without properly understanding their provenance and context can lead to surprisingly misleading results, especially if there are influential factors that you either ignore or fail to record.

read more
Nov
2013

Interacting with Your Data

We regularly analyse data to help our clients gain key insights so that they can make effective decisions. In many cases, clients will be interested in the results for different scenarios and we've been developing the capability to enable our clients to interact with their data via online interactive tools or web apps.

read more
Oct
2013

Data Scientist – What’s in a Name?

There has been a dramatic growth of new roles such as “data scientist” and “informatician” that were all but unheard of just a few years ago. But what distinguishes the role of a data scientist from that of a statistician, informatician or analyst? What do these different groups actually do?

read more
Jul
2013

Motion Charts in R

Last month Markus Gesmann joined us as one of our keynote speakers at Talking Data South West. Markus talked about the tools that he uses to communicate with his colleagues about his data analysis. Markus has developed a R package called googleVis that allows users to create their very own Motion Charts using R.

read more
Apr
2013

Breaking News: 1 in 20 Statistical Tests Are Wrong!

This lighthearted cartoon from XKCD makes an important point about classical hypothesis testing: if you test enough things you’re bound to find something that’s significant. To avoid this and many other pitfalls of a naive application of statistical methods, it is important to seek statistical advice.

read more