I’m trying to mimic
dplyr::count() using only the aggregate transofrms from
plot_ly() in R.
Rather than doing something like:
library(tidyverse) library(plotly) iris %>% count(Species) %>% plot_ly(...)
I want to do something like:
library(plotly) plot_ly( data = iris, type = "bar", x = ~Species, y = ?????, mode = "markers", transforms = list( list( type = "aggregate", groups = ~Species, aggregations = list( list( target = "y", func = "count", enabled = T ) ) ) ) )
How would I be able to accomplish this?