I was wondering how can I enable zooming into the plot by scrolling rather than using the zoom button to select a specific area since I need a dynamic exploration of the data at different resolutions. Ideally, I would have something like google maps label strategy where you see only major labels in high level, but as you zoom in more labels are being shown.
An issue related to zoom, when I plot textual labels, their size remain relative to the presented plot area, meaning that zooming in doesn’t increase the font size. is there a way to make the font size appear bigger upon zoom?
and after zoom showing labels size is smaller
Also, the tooltip configuration doesn’t work for me with the following strategy of adding the variables to aes in ggplot and adding their names to ggplotly tooltip parameter.
p <- ggplot(mtcars, aes(x = disp, y= am, color = as.factor(cyl), gear=gear, hp=hp))+geom_point() ggplotly(p,tooltip = c("x", "gear", "hp"))
Finally, is there any possibility to have a list of labels appear on the right as text when I select a bunch of points on that scatter plot? I’m basically looking to identify features with select (by the box select or lasso option) characteristics and export them for analysis in another platform, or just save which ones qualified.