Using XML within AnalytiXagility
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 …
The Performance Gains of Using MADlib for In-Database Analytics
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 …
Visualising air pollution data over time
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, …
Mapping Hospital Admission Data to Scottish Datazone
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 …
Using Run Charts to Visualise Variant CPs Due to Changing Targets of A&E Waiting Time Data
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 …
Visualising Features of A&E Waiting Time Data Using Run Charts
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 …
The Fundamentals of ggplot2 Explained
ggplot2 is a data exploration and visualisation package written in R. Developed by Hadley Wickham, the principals of ggplot2 were defined in the Grammar of …
This post demonstrates basic charts in R; specifically simple, stacked and grouped bar charts, line charts and scatter plots. Using the built-in R dataset mtcars, …