Plot alignment scatterplot

Usage

plot_scatter_alignment_exposure(
  data,
  floor_outliers,
  cap_outliers,
  group_var,
  currency
)

prep_scatter_alignment_exposure(
  data,
  year,
  region,
  scenario,
  group_var,
  exclude_groups = "benchmark"
)

Arguments

data: data.frame. Holds net aggregated alignment metrics on the loan book level. Must contain columns: "scenario", "region", "sector", "year", "exposure_weighted_net_alignment", "sum_loan_size_outstanding" and any column implied by group_var.
floor_outliers: Numeric. Floor which should be applied to the alignment values in the data. Values smaller than floor are plotted on the border of the plot.
cap_outliers: Numeric. Cap which should be applied to the alignment values in the data. Values bigger than cap are plotted on the border of the plot.
group_var: Character. Vector of length 1. A column to group by. Must be available variables in data.
currency: Character. Currency to display in the plot labels.
year: Integer. Year on which data should be filtered.
region: Character. Region to filter data data frame on.
scenario: Character. Scenario to filter data data frame on.
exclude_groups: Character. Character specifying any values from group_var that should not be included in the analysis. This is useful to remove benchmarks that are not meant to be compared at the same level. Defaults to "benchmark".

Value

object of type "ggplot"

data.frame

Examples

# TODO