A recent BBC article discussed an apparent north-south divide in GCSE attainment. We've investigated these data in more detail to find out whether there is statistical evidence of this divide and whether it has changed over time.
read moreIn this latest blog post in our Market Research terminology series, we discuss CHAID - an algorithm that is useful when looking for patterns in datasets with lots of categorical variables and that offers a convenient way of visualising relationships in the data.
read moreInteracting with social media is a key element of any strategy for businesses wishing both to better understand and interact with their customers. But how can you measure the success of a marketing campaign on Twitter?
read moreWe 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 moreLast 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 moreSurveys often comprise tick-box questions, resulting in what are referred to statistically as categorical data. Analysing categorical data requires the use of a specialist set of statistical tools as they are not normally amenable to the standard tools available for continuous data.
read moreAccording to IBM's calculations, "every day, we create 2.5 quintillion (2.5 billion billions, or 25 with 17 zeros) bytes of data! Not only are new forms of computer processing being developed to handle this so called 'big data', but the way we are communicating data is also evolving.
read moreThe 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?
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