Compared to plot_techmix() this function:

  • is restricted to plotting future as 5 years from the start year,

  • outputs pretty bar labels, based on metric column,

  • outputs pretty legend labels, based on technology column,

  • outputs a title.

qplot_techmix(data)

Arguments

data

A data frame. Requirements:

  • The structure must be like market_share.

  • The following columns must have a single value: sector, region, scenario_source.

  • The column metric must have a portfolio (e.g. "projected"), a benchmark (e.g. "corporate_economy"), and a single scenario (e.g. "target_sds").

  • (Optional) If present, the column label is used for data labels.

  • (Optional) If present, the column label_tech is used for technology labels.

Value

An object of class "ggplot".

See also

plot_techmix

Examples

# `data` must meet documented "Requirements"
data <- subset(
  market_share,
  sector == "power" &
    region == "global" &
    scenario_source == "demo_2020" &
    metric %in% c("projected", "corporate_economy", "target_sds")
)

qplot_techmix(data)
#> The `technology_share` values are plotted for extreme years.
#> Do you want to plot different years? E.g. filter data with:`subset(data, year %in% c(2020, 2030))`.