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?