Generate a time-series plot for ABS Time Series Data.

abs_plot() can automatically generate appropriate plots for ABS Time Series indicators for both static display in documents, or RMarkdown, as well as interactive plots through plotly.

abs_plot_wpi(), abs_plot_labour_force() can be called directly and create plots for WPI and Labour Force data respectively.

Usage

abs_plot(data = NULL, filter_with, type, years = 2015, ...)

abs_plot_wpi(
  data,
  filter_with,
  years,
  index_to = "2020-03-01",
  compare_aus = FALSE
)

abs_plot_labour_force(
  data,
  filter_with,
  years,
  compare_aus = TRUE,
  markdown = FALSE,
  facet = NULL,
  plotly = FALSE,
  void = FALSE
)

Arguments

data

ABS Time Series data

filter_with

named list specifying what should be plot.

type

One of "wpi" for Wage Price Index plots or "labour_force" for Labour Force plots.

years

How many years of data to plot, defaults to years.

...

other arguments passed to various functions depending on type.

index_to

Date as "yyyy-mm-dd" to re-index data to, defaults to "2020-03-01"

compare_aus

Whether to automatically add Australian data to plot, defaults to FALSE

markdown

Whether to use markdown formatting of titles and subtitles. NYI.

facet

Whether to facet the plot to include additional dimensions. NYI.

plotly

Whether to use ggplotly to create a plotly interactive plot. NYI.

void

Whether to strip all theme elements from the plot.

Value

A ggplot2 time-series plot or a plotly time-series plot if plotly = TRUE

See also

• abs_plot_wpi for WPI plots.

• abs_plot_labour_force for Labour Force plots.

Examples

if (FALSE) { # \dontrun{
#Plot employed total for Australia and South Australia
abs_plot(filter_with = list(indicator = "Employed total", state = c("South Australia", "Australia")), type = "labour_force")
} # }