Reproducibility in science is becoming increasingly important. The rise of meta-analysis and systematic reviews such as the Cochrane Reviews and a number of recent studies ... Read more ➜
If you’ve spent any time looking into the visualisation of large-scale genomic data then you’ve probably encountered Circos, a visualisation tool developed for displaying and ... Read more ➜
Following on from last week’s post where I introduced our new mini-apps capability, today I’m going to demonstrate how to create more advanced and interactive ... Read more ➜
This post provides an introduction to the XML library contained within R. It takes us through the process of parsing XML documents, transforming data into ... Read more ➜
Why Do We Need to Calculate Age Standardised Incidence Rates? When comparing incidence rates between different countries the distribution of the population needs to be taken ... Read more ➜
If you are analysing a big data set you will likely hit the limits of in-memory analytics. Carrying out the same analysis in-database, can be ... Read more ➜
The health effects of air pollution have been reported in research studies over the past 30 years. These effects include respiratory diseases such as asthma, ... Read more ➜
Datazones in Scotland are geographical areas used for producing small area statistics that allow comparison of economic, environmental, health and demographic data between zones. As ... Read more ➜
In analytics, run charts are used to identify and display trends in data over time. We will show how we can visualise variant CPs due ... Read more ➜
In analytics, run charts are used to identify and display trends in data over time. In this post we show how to use the AnalytiXagility ... Read more ➜
The AnalytiXagility platform is probably very different to other analytics applications that you may have used before, so we are here to help with a range of tutorials which demonstrate how you can use it to perform both simple and complex analyses. That can mean looking at the interpretation of data in a clinical context, how to visualise your data, or how to do specific technical tasks.
Have a look around this section, and if you can't see what you need there is also the User Guide should you need it.
If you have specific questions which aren't answered in any of these way then please get in touch - the Data Science Team like a challenge, and your problem might become the subject of our next tutorial!