Bug
When plotting clustered numeric variables, the visualization matrix breaks down. Because the engine fails to apply scaling or coordinate jittering to dense data distributions, the points collapse into tiny blocks floating in a sea of empty white space.
This layout failure completely masks the descriptive density of the underlying data, making it impossible for an analyst to interpret the actual distribution.
Dataset used
trades.csv
Suggested Solution
The chart component needs to conditionally apply standard coordinate jittering or support log-scaling on axes where variance is heavily concentrated at polar extremes --> values tightly locked at 0.0 and 1.0.
Screenshot
Bug
When plotting clustered numeric variables, the visualization matrix breaks down. Because the engine fails to apply scaling or coordinate jittering to dense data distributions, the points collapse into tiny blocks floating in a sea of empty white space.
This layout failure completely masks the descriptive density of the underlying data, making it impossible for an analyst to interpret the actual distribution.
Dataset used
trades.csv
Suggested Solution
The chart component needs to conditionally apply standard coordinate jittering or support log-scaling on axes where variance is heavily concentrated at polar extremes --> values tightly locked at 0.0 and 1.0.
Screenshot