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I wonder about feasibility of enhanced support for geom_histogram in future? Specifically the question of applying either a specific different binwidth to the zoomed facet, or by applying the same bin argument. The current implementation seems to zoom the post-binned summary:
set.seed(0)
x = tibble(date = as.Date('2018-01-01') + rnorm(500, sd=3)^3)
p = x %>% ggplot(aes(date)) + geom_histogram(bins = 50, col = 'white', size=.1) + theme_light()
p + facet_zoom(x = date >= "2017-12-01" & date <= "2018-02-01", zoom.size = 1)
It would be really useful to be able to drill into histograms to explore spikes and strange distributions.
The text was updated successfully, but these errors were encountered:
I wonder about feasibility of enhanced support for geom_histogram in future? Specifically the question of applying either a specific different
binwidth
to the zoomed facet, or by applying the samebin
argument. The current implementation seems to zoom the post-binned summary:It would be really useful to be able to drill into histograms to explore spikes and strange distributions.
The text was updated successfully, but these errors were encountered: