gglaplot 
The package provides several wrappers and tools to use with ggplot2 and plotly to make graphics that follow the GLA City Intelligence Data Design Guidelines.
Installation
# To install from github use the devtools function:
# This will install all required dependencies
devtools::install_github("Greater-London-Authority/gglaplot")Usage
library(ggplot2)
library(gglaplot)
library(dplyr)
library(scales)
library(lubridate)
pal <- gla_pal(gla_theme = "default", palette_type = "highlight", n = c(1, 1))
theme_set(theme_gla(gla_theme = "default"))
plot <- ggplot(data = LDNUK, mapping = aes(x = Year, y = GPG, group = location,
colour = location)) +
ggla_line(aes(size = location)) +
scale_size_manual(values = c(4 * mm_to_pt, 2 * mm_to_pt)) +
scale_colour_manual(values = pal) +
ggla_highlight(filter_type = "end") +
ggla_axisat0() +
scale_y_continuous(expand = c(0, 0), limits = c(0, 32.5),
labels = dollar_format(prefix = "", suffix = "%")) +
scale_x_date(date_breaks = "1 year", date_labels = "'%y",
expand = expansion(mult = c(0.05, 0.01))) +
labs(title = "Gender Pay Gap - Total (Median)",
subtitle = "Gender Pay Gap - Total (Median) - London VS UK",
caption = "Note: 2017 data is provisional\nChart: GLA City Intelligence Source: London Datastore")
plot
Plots can be incorporated in Rmarkdown/Notebooks or exported to be included in documents/slideshows etc
ggsave(plot = plot, path = "example_plot.svg").svg is the best format to export plots, and the size and dpi of the
output can be adjusted within ggsave().
Getting Help
ggplot2
There are many online resources for ggplot2, including:
plotly
gglaplot
For help with gglaplot itself, see the vignettes which are available on the gglaplot github pages.
The BBC has a similar package for their house style which has some comprehensive help pages here.