Prepare data for a emission intensity plot
Arguments
- data
A data frame. Requirements:
The structure must be like sda.
The column
sector
must have a single value (e.g. "cement").(Optional) If present, the column
label
is used for data labels.
- convert_label
A symbol. The unquoted name of a function to apply to y-axis labels. For example:
To convert labels to uppercase use
convert_label = toupper
.To get the default behavior of
qplot_emission_intensity()
useconvert_label = to_title
.
- span_5yr
Logical. Use
TRUE
to restrict the time span to 5 years from the start year (the default behavior ofqplot_emission_intensity()
), or useFALSE
to impose no restriction.
Value
A data-frame ready to be plotted using plot_emission_intensity()
.
See also
Other plotting functions:
plot_emission_intensity()
,
plot_techmix()
,
plot_trajectory()
,
prep_techmix()
,
prep_trajectory()
,
qplot_emission_intensity()
,
qplot_techmix()
,
qplot_trajectory()
,
recode_metric_techmix()
,
recode_metric_trajectory()
,
scale_colour_r2dii()
,
scale_colour_r2dii_sector()
,
scale_colour_r2dii_tech()
,
scale_fill_r2dii()
,
scale_fill_r2dii_sector()
,
scale_fill_r2dii_tech()
,
spell_out_technology()
,
theme_2dii()
,
to_title()
Examples
# `data` must meet documented "Requirements"
data <- subset(sda, sector == "cement" & region == "global")
prep_emission_intensity(data)
#> # A tibble: 74 × 7
#> sector year region scenario_source emission_factor_metric
#> <chr> <date> <chr> <chr> <chr>
#> 1 cement 2020-01-01 global demo_2020 projected
#> 2 cement 2021-01-01 global demo_2020 projected
#> 3 cement 2022-01-01 global demo_2020 projected
#> 4 cement 2023-01-01 global demo_2020 projected
#> 5 cement 2024-01-01 global demo_2020 projected
#> 6 cement 2025-01-01 global demo_2020 projected
#> 7 cement 2020-01-01 global demo_2020 corporate_economy
#> 8 cement 2021-01-01 global demo_2020 corporate_economy
#> 9 cement 2022-01-01 global demo_2020 corporate_economy
#> 10 cement 2023-01-01 global demo_2020 corporate_economy
#> # ℹ 64 more rows
#> # ℹ 2 more variables: emission_factor_value <dbl>, label <chr>