The goal of wdiquickplots is to provide, well, quick plots for World
Development Indicators (WDI, “the primary World Bank collection of
development indicators, compiled from officially recognized
international sources.”).
Just jump to the “Get started” page if you want to take a look at all
the quick plots examples. To get WDI data, this package is powered by
WDI package, developed by
Vincent Arel-Bundock.s
You can install it from this Github repo with:
remotes::install_github("edalfon/wdiquickplots")Use case: hey I have to present this study I have been working on in my home country to an audience where I currently live (studying abroad or whatever). Thus, some background data on my home country is in order. A table would certainly do, but it is boring. So let’s put some plots in there.
library(wdiquickplots)
plot_dist_wdi("NY.GDP.PCAP.PP.CD", p = 0)
There you go. That’s the spirit of this package. One line of code and bang!, a relatively decent plot that you can put in your slides to convey a quick message.
Using this package goes as follows:
- Find the code of the indicator of interest. You can use
WDI::WDIsearchfor this, but I actually find it a bit more user-friendly to simply go to the indicators page (https://data.worldbank.org/indicator) and get the code from there (it’s in the URL). - You pass the indicator code as the first argument of the different plotting functions in this package.
- As second argument, you pass the countries you want to highlight.
And that’s it.
You can read other details and description of features in the pkgdown
site for this little package
(I know, a pkgdown site may be overkill, but anyway). There you can
also see examples for all the quick plots in this package, but in
general, they quickly show:
- Where the highlighted countries stand in terms of the indicator of interest.
- How do they compare among highlighted countries, and against the rest of the world, regions or income groups.
- What have been the changes in time.