On occasion, we find patterns in statistical noise that lead us to incorrect conclusions about the underlying data.
The funnel plot helps you compare samples, and find true outliers among the measurements with varying precision. It’s widely used for comparing institutional performance and medical data analysis.
In our example, the measurements are rates of certain events (such as births) in populations (such as countries) of given size.
This visual uses a fixed effect model estimator. You can control the visual attributes to suit your needs.
This tutorial will take you from simple R script via R visuals till store-level Interactive R Custom Visual (HTML-based) . Each step is very detailed and includes tips and tricks for developers.
