Analysis notebooks

This page collects together a number of analytical ‘notebooks’, which combine code and descriptive text to show how publicly available data on housing (including data from the London Datastore) can be analysed and visualised using open source programming languages.

All of these notebooks were created using the R programming environment, and can be replicated or adapted by copying the code into R or RStudio. The notebooks are hosted on Github, and will be added to over time.

• Tidying housebuilding statistics
• Tidying Energy Performance Certificate statistics
• Reproducing London Plan Annual Monitoring Report tables
• Animation of the local house price ‘ripple effect’