Visualizing data in maps can be a bit of a challenge although widespread tools like MS Excel recently got improved functionalities in this context (see for example our blog post called Where the donors are from earlier this year). There are two R packages that are definitely worth taking a look at when it comes to producing maps with data.
Click on the Image below to see the interactive result:
Another recommendable package is Plotly (also spelt Plot.ly like its URL). Plotly is a virtual data analytics and visualization tool. The platform as such invites to play around. Plotly contains libraries for languages like Python, Perl and MATLAB and last not least a package for R. I have created a simple example with made-up data on the number of potential beneficiaries per country on a world map.
This is the result (click image below):
There are sources with way more impressing showcases than mine, e.g in the R Graph Gallery. Three examples I found inspiring in a broader fundraising and charity context are maps with illustrations of Nepal earthquakes as well as a London income map.
The possibilities with Leaflet and Plotly seem limitless. I have made the experience that working with the two – after some initial tweaking with the data and getting used – is really fun!