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library(apexcharter)
data("economics", package = "ggplot2")

Synchronize charts

With Apexcharts you can sync (tooltip, zoom) several charts together by providing a common id in synchronize argument. This works in Shiny and Markdown. Here an example where we create two charts, tooltip will be displayed on both charts when you hover one, and if you zoom on one, the other one will be synced :

apex(
  data = tail(economics, 150), 
  mapping = aes(x = date, y = pce),
  type = "line", 
  synchronize = "economics"
) %>% 
  ax_yaxis(
    decimalsInFloat = 0,
    labels = list(
      formatter = format_num("~s"),
      minWidth = 40
    )
  ) %>%
  ax_tooltip(x = list(format = "yyyy"))

apex(
  data = tail(economics, 150), 
  mapping = aes(x = date, y = psavert),
  type = "line", 
  synchronize = "economics"
) %>% 
  ax_yaxis(
    decimalsInFloat = 0,
    labels = list(
      formatter = format_num("~s"),
      minWidth = 40
    )
  ) %>%
  ax_tooltip(x = list(format = "yyyy"))

Note that you have to set a common minWidth for y axis labels. Different width yaxis in different charts will produce incorrect results when hovering or interacting.

For an example in Shiny, you can run:

run_sync_demo()

Brush chart

Create a brush chart to navigate into a synced chart : use the chart below to navigate in the chart above.

apex(
  data = economics, 
  mapping = aes(x = date, y = psavert),
  type = "line"
) %>% 
  ax_chart(
    id = "target-chart", # <-- define target id here
    toolbar = list(
      autoSelected = "pan",
      show = FALSE
    )
  )

apex(
  data = economics, 
  mapping = aes(x = date, y = psavert),
  type = "line", 
  height = "130px"
) %>% 
  ax_chart(
    brush = list(
      target = "target-chart", # <-- use target id here
      enabled = TRUE
    ),
    offsetY = -20,
    selection = list(
      enabled = TRUE, # <-- enable selection and define starting range
      xaxis = list(
        min = format_date(economics$date[1]),
        max = format_date(economics$date[100])
      )
    )
  ) %>% 
  ax_xaxis(labels = list(show = FALSE)) %>% 
  ax_yaxis(labels = list(show = FALSE))