NHSrplotthedots is an R package designed to make it easier to produce statistical process control (SPC) charts, which are a widely well-regarded way to report on KPIs in trusts and other organisations across the country.
Pairing well with reporting tools like Quarto or rmarkdown, as well as dashboarding tools like R Shiny, this battle-tested package used in trusts across the country can help to automate and improve reporting, using the same underlying methodology as the Excel tool originally provided by the
More about SPC charts
Take a look at our technique page for more information about the theory behind SPC charts.
Looking for some code snippets? Head to our graph page.
Related Projects
These Excel templates support the creation of statistical process control (SPC) charts adhering to the making data count rules and style. SPC charts are a good alternative to red-amber-green (RAG) rated reporting of metrics, helping to build a more informed picture of a metric's performance over time and spot signals of improvement or deterioration.
This custom PowerBI visual (based on NHSRplotthedots) simplifies the creation and automation of statistical process control (SPC) charts for KPIs. It helps analysts and teams move beyond static KPIs to understand true performance variation and identify opportunities for improvement, producing R-backed visuals within the setting of PowerBI and integrating with PowerBIs data model and filters.
NHSpy-plotthedots is a Python port of the NHSRplotthedots package that simplifies the creation and automation of statistical process control (SPC) charts for KPIs. It helps analysts and teams move beyond static KPIs to understand true performance variation and identify opportunities for improvement.