  This paper extends an existing visualization, the Parallel Coordinates Plot
(PCP), specifically its polar coordinate representation, the $\textit{Polar
Parallel Coordinates Plot (P2CP)}$. With the additional incorporation of
techniques borrowed from Hive Plot network visualizations, we demonstrate
improved capabilities to explore multidimensional data in flatland, with a
particular emphasis on the unique ability to represent 3-dimensional data. To
demonstrate these techniques on P2CPs, we consider toy data, the Iris dataset,
and socioeconomic data for counties in the United States. We conclude with an
exploration of Covid-19 data from counties in the contiguous United States.
