Tracking Residential Mortgage Lending Activity in Jupyter Notebook (iPywidgets & Plotly)

A step-by-step python code to extract, transform and explore official mortgage lending statistics in the UK

The notebook creates a simple interactive visualisation by combining iPywidgets input devices to render dynamic Plotly graphs. The dashboard explores how Bank of England's Official Bank Rate affects the density of residential mortgage lending, defaults and securitisation activity by commercial banks. It allows users to select a custom range of nominal interest rates from which a historic density distribution of gross lending is then rendered.  See the full repo on GitHub.