Generate table of journal paper percentages, by continent and year

Usage

scatter_journal_year(
  data,
  method = "lm",
  ymin = 0,
  ymax = 100,
  yby = 20,
  plotly = TRUE,
  citation = NULL,
  citation_size = 15,
  ncol = 4,
  ...
)

Arguments

data: The processed dataframe of data
method: Which method to use for the regression line, either "lm" (default) or "loess"
ymin: Minimum value for y-axis
ymax: Maximum value for y-axis
yby: Tick increments for y-axis
plotly: Logical, whether to use plotly for dynamic data visualization
citation: Optionally, a citation to add as a footer
citation_size: Font size of the citation
ncol: How many columns for ggplot2::facet_wrap
...: Further arguments passed to rempsyc::nice_scatter

Examples

if (FALSE) { # \dontrun{
data <- fetch_openalex_pubs(journal_name = "Collabra", pages = 1)
data <- clean_journals_continents(data)
scatter_journal_year(data)
} # }