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| # Penguin bars | |
| # Make a graph ---- | |
| summary_penguins <- penguins |> | |
| dplyr::group_by(species, sex) |> | |
| dplyr::summarise(count = length(bill_len)) |> | |
| dplyr::filter(!is.na(sex)) | |
| ggplot(summary_penguins, aes(y = species, x = count, fill = species)) + | |
| geom_bar(stat = "identity") + | |
| facet_grid(~sex) + | |
| labs(title = "Let's count the penguins") + | |
| theme_minimal() + | |
| theme(legend.position = "none", axis.title.y = element_blank()) | |
| # Change the colours ---- | |
| penguin_colours <- c( | |
| "Adelie" = "pink", | |
| "Chinstrap" = "orange", | |
| "Gentoo" = "darkgreen" | |
| ) | |
| ggplot(summary_penguins, aes(y = species, x = count, fill = species)) + | |
| geom_bar(stat = "identity") + | |
| facet_grid(~sex) + | |
| labs(title = "Let's count the penguins") + | |
| scale_fill_manual(values = penguin_colours) + | |
| theme_minimal() + | |
| theme(legend.position = "none", axis.title = element_blank()) | |
| # Add theme_afbi() ---- | |
| ggplot(summary_penguins, aes(y = species, x = count, fill = species)) + | |
| geom_bar(stat = "identity") + | |
| facet_grid(~sex) + | |
| labs(title = "Let's count the penguins") + | |
| scale_fill_manual(values = penguin_colours) + | |
| theme_afbi() + | |
| theme(legend.position = "none", axis.title = element_blank()) | |
| # Add annotations ---- | |
| ggplot(summary_penguins, aes(y = species, x = count, fill = species)) + | |
| geom_bar(stat = "identity") + | |
| facet_grid(~ toupper(sex)) + | |
| labs(title = "Let's count the penguins") + | |
| scale_fill_manual(values = penguin_colours) + | |
| ggtext::geom_textbox( | |
| aes( | |
| label = paste0(species, "<br>", count), | |
| colour = dplyr::case_when( | |
| species == "Gentoo" ~ "white", | |
| .default = "black" | |
| ) | |
| ), | |
| hjust = 1, | |
| halign = 1, | |
| fontface = "bold", | |
| family = "Open Sans", | |
| box.colour = NA, | |
| fill = NA | |
| ) + | |
| scale_colour_identity() + | |
| theme_afbi() + | |
| theme( | |
| legend.position = "none", | |
| axis.title = element_blank(), | |
| axis.text.y = element_blank() | |
| ) | |
| # Make interactive ---- | |
| # |- Rework the data a bit to give us something to add to the tooltip | |
| summary_penguins <- penguins |> | |
| dplyr::group_by(species, sex) |> | |
| dplyr::mutate( | |
| tooltip_content = paste0( | |
| "Living on<br>- <b>Biscoe</b>: ", | |
| sum(island == "Biscoe"), | |
| "<br>", | |
| "- <b>Torgersen</b>: ", | |
| sum(island == "Torgersen"), | |
| "<br>", | |
| "- <b>Dream</b>: ", | |
| sum(island == "Dream") | |
| ) | |
| ) |> | |
| dplyr::summarise( | |
| count = length(bill_len), | |
| tooltip_content = unique(tooltip_content) | |
| ) |> | |
| dplyr::filter(!is.na(sex)) | |
| # |- Build a make a small change to the plot | |
| interactive_plot <- ggplot( | |
| summary_penguins, | |
| aes(y = species, x = count, fill = species) | |
| ) + | |
| ggiraph::geom_bar_interactive( | |
| aes(tooltip = tooltip_content, data_id = species), | |
| stat = "identity" | |
| ) + | |
| facet_grid(~ toupper(sex)) + | |
| labs(title = "Let's count the penguins") + | |
| scale_fill_manual(values = penguin_colours) + | |
| ggtext::geom_textbox( | |
| aes( | |
| label = paste0(species, "<br>", count), | |
| colour = dplyr::case_when( | |
| species == "Gentoo" ~ "white", | |
| .default = "black" | |
| ) | |
| ), | |
| hjust = 1, | |
| halign = 1, | |
| fontface = "bold", | |
| family = "Open Sans", | |
| box.colour = NA, | |
| fill = NA | |
| ) + | |
| scale_colour_identity() + | |
| theme_afbi() + | |
| theme( | |
| legend.position = "none", | |
| axis.title = element_blank(), | |
| axis.text.y = element_blank() | |
| ) | |
| ggiraph::girafe( | |
| ggobj = interactive_plot, | |
| options = list( | |
| ggiraph::opts_tooltip(css = afbi_tooltip_css), | |
| ggiraph::opts_hover(css = "stroke:#30373b"), | |
| ggiraph::opts_hover_inv(css = "opacity:0.5") | |
| ), | |
| # Play around with these dimensions to get the desired aspect ratio | |
| height_svg = 9, | |
| width_svg = 6 | |
| ) | |
| # Exporting graphs | |
| ggsave(plot = my_plot_name, | |
| filename = "the-path/filename.png", height = 9, width = 6, dpi = 300) | |
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