Teaching Computers to See Scatterplots with Scagnostics

Hello friends! It has been a while since our last event and we are excited to announce our next R-Ladies event! Come and join us to learn about how computers can see scatterplots! This will be a hybid event and zoomlink will be posted prior to the event.

As the number of dimensions in a data set increases, visualising its structure and variable dependencies becomes more tedious. Scagnostics (scatterplot diagnostics) are numerical measures that describe the visual features of scatter plots. These features can be used to identify interesting and abnormal scatterplots within high-dimensional datasets and thus give a sense of priority to the variables we choose to visualise. A set of scagnostics is implemented in the `cassowaryr` R package, which provides a user-friendly method to apply these diagnostics to data. The scagnostics have been effective tools in both high-dimensional data visualisation and projection pursuit, which Harriet will illustrate with examples from sports and astrophysics.