A fun before and after for me was when trying to explore correlations over samples with a lot of features. In particular, on survey results on why teams adopt

A fun before and after for me was when trying to explore correlations over samples with a lot of features. In particular, on survey results on why teams adopt different programming languages: V1: Correlations as an interactive heatmap -- http://lmeyerov.github.io/projects/socioplt/viz/rank.html http://lmeyerov.github.io/projects/socioplt/viz/rank.html V2: Correlations as an interactive graph -- https://labs.graphistry.com/graph/graph.html?dataset=PyGraphistry%2FPC7D53HHS5 https://labs.graphistry.com/graph/graph.html?dataset=PyGraph... Nowadays when we're dealing with wide event data (security, fraud, operations, etc. investigations), even more fun!