When pruning material from the 3 hour Data visualization workshop, the first thing I removed was the base-R plotting examples. This may cause issues with teaching if the module is ran before data-wrangling in a module sequence, (since ggplot2 layering is so much like dplyr pipes), but may be less of a stretch for students if they're exposed to dplyr first.
I regrettably removed heatmap and viridis examples.
added pacman and pload() automation to prevent library loading kerfuffles in situ.
Going to compose introduction narrative, explicitly referencing 3 hour visualization workshop as source material and learning resource to cover the missing parts.
Considering reducing challenges from 5 to 3.
When pruning material from the 3 hour Data visualization workshop, the first thing I removed was the base-R plotting examples. This may cause issues with teaching if the module is ran before data-wrangling in a module sequence, (since ggplot2 layering is so much like dplyr pipes), but may be less of a stretch for students if they're exposed to
dplyrfirst.I regrettably removed heatmap and viridis examples.
added
pacmanand pload() automation to prevent library loading kerfuffles in situ.Going to compose introduction narrative, explicitly referencing 3 hour visualization workshop as source material and learning resource to cover the missing parts.
Considering reducing challenges from 5 to 3.