Mar
2019

Restaurant Ratings Model: Visualising the Key Findings

Recently we were inspired by an article in The Economist that looked at the demographic predictors of voting intention in the 2018 US congressional election. The article used one of our workhorse models, a logistic regression, and it contained a great visualisation of the results. We were keen to use the concept to present our own work.

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Dec
2017

CHAID (Chi-square Automatic Interaction Detector)

In 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.

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Jan
2016

Mapping and Analysing GCSE Performance Data

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.

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Jan
2015

Analysing Categorical Survey Data

Surveys 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.

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Nov
2014

Data Visualisation

According 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.

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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?

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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.

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