Generate timeseries plot data — generate_time_series_plot • gsClusterDetect

Generate a timeseries plot of count information by date and location given a frame of count-by-location-and-date data and an optional end_date

Usage

generate_time_series_plot(
  time_series_data,
  end_date = NULL,
  plot_type = c("ggplot", "plotly"),
  locations = "All Locations",
  ...
)

Arguments

time_series_data: data frame generated by `generate_time_series_data`
end_date: optional end date to truncate date
plot_type: string indicating either a "ggplot" or "plotly" result. If the requested backend is unavailable, the function warns and falls back to the other backend when available.
locations: string indicating location name (defaults to "All Locations")
...: passed onto plotly

Value

a ggplot or plotly object

Examples

ts <- generate_time_series_data(example_count_data)
generate_time_series_plot(ts)

generate_time_series_plot(ts, plot_type = "plotly")