Posts tagged ‘ggplot2’


Getting Started with AnalytiXagility Mini-apps ➜

As you may know we launched the updated version of AnalytiXagility last week, and the platform now includes some great new capabilities in the form …



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 …