While {ggplot2} provides a powerful tools for producing engaging
visualizations, it also confronts would-be users with an overwhelming
array of technical and stylistic choices: how tailor the look of common
plot types, which colors to use, etc.
The goals of {wbplot} are to:
- Promote “on-brand” plots. Offering tools to easily align data viz with the World Bank Group’s Branding and Visual Identity Guidelines.
- Collect corporate colors and curated color palettes. Providing easy access to primary and secondary corporate colors (e.g., World Bank Group’s blues) as well as curated color palettes for different data needs (e.g., qualitative, converging, diverging, etc).
- Streamline plot production through brand-aware and plot-specific
{ggplot2}themes. Supply a set of simple theme functions that effortlessly meet common viz needs (e.g., column plot, bar plot, line plot, etc.).
Since {wbplot} is not yet available on CRAN, it can be installed from
GitHub as follows:
if (!require("pak")) install.packages("pak")
pak::pak("lsms-worldbank/wbplot")Step 1: compose a {ggplot2} plot.
Step 2: add the appropriate wbplot theme (e.g. + wb_theme_bar()):
wb_theme(). General theme.wb_theme_bar(). Implements sensible defaults for a (horizontal) bar plots. Offers options: whether to include x-axis grid lines; whether to show x-axis scale, title, and labels; whether to have axis titles on the x and y axes.wb_theme_column(). Implements sensible defaults for column plots. Offers options: whether to include y-axis grid lines; whether to show y-axis scale, title, and labels; whether to have axis title son the x and y axis.wb_theme_line(). Implements sensible defaults for line plots. Offers options: whether to include y-axis scale, title, and labels; whether to use axis titles on x and y axes.
COMING SOON