Is there any other way to implement plotly R’s cumulative animation?

[Byeong-Jun]

accumulate_by <- function(dat, var) {
  var <- lazyeval::f_eval(var, dat)
  lvls <- plotly:::getLevels(var)
  dats <- lapply(seq_along(lvls), function(x) {
    cbind(dat[var %in% lvls[seq(1, x)], ], frame = lvls[[x]])
  })
  dplyr::bind_rows(dats)
}

d <- txhousing %>%
  filter(year > 2005, city %in% c("Abilene", "Bay Area")) %>%
  accumulate_by(~date)

If you implement a cumulative animation in the manner of the function above, the number of rows will increase too much.

I use a thousand frames and a row of ten thousand. Because of the large number of data, the work in progress has been disturbed.

https://plot.ly/r/cumulative-animations/

Is there any way to create a cumulative animation other than the example?