Code
years <- levels(RplotterPkg::gapminder_data$year)
build_plot <- (function(id, dt, years) {
plot_dt <- dt[year == years[[id]], ]
aplot <- RplotterPkg::create_scatter_plot(df = plot_dt, aes_x = "lifeExp",
aes_y = "pop", aes_fill = "continent", x_limits = c(20, 80),
x_major_breaks = seq(from = 20, to = 80, by = 10), y_limits = c(0, 400),
y_major_breaks = seq(from = 0, to = 400, by = 50), subtitle = years[[id]],
title = "Life Expectancy Across Continents", x_title = "Life Expectancy",
y_title = "Population", pts_size = 5, legend_key_width = 0.8,
legend_key_height = 0.6, show_minor_grids = F, silent_NA_warning = TRUE)
return(aplot)
})
plot_lst <- purrr::map(1:4, build_plot, dt = RplotterPkg::gapminder_data,
years = years)
layout <- list(plots = plot_lst, rows = c(1, 1, 2, 2), cols = c(1, 2, 1, 2))
a_plot <- RplotterPkg::multi_panel_grid(layout = layout, title = "Life expectancy vs population(millions) across continents",
plot_titles = c("1952", "1972", "1992", "2002"), cell_width = 10)
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