Visualizations Gone Wild
Who said art had to be intentional?
I don’t spend as much time making art as I would like, so it’s always a pleasant surprise when bad code inadvertently helps me fix that.
Under a Yellowcake Sun
This is “Desert Mountains, Sunken Sun” and is brought to you by ggplot2
.
Usingstat_binhex()
you can create colorful heat map density plots with hexagons representing a collection of observations with adjacent values. There is a problem with stretch, such that hexagons will becomes exceptionally large if few observations with comparable values exist.
What’s the quick solution? Toggle the number of bins over which the data is represented using stat_binhex(bins = n)
, where the default n
is 30, and consider applying a log or log10 transform (e.g., trans = "log10"
in your scale_fill_XXXX
command) which controls the values that correspond to the legend’s tick marks. You’ll likely have to toy around with a few combinations before finding the most visually informative values.
A Fragmented Country
This was a byproduct of a poorly executed filtering procedure using a Census ZCTA5 shapefile. plot(st_geometry(object["column"))
helped drive us home.