Mapping 19 years of assistance with social income in Zurich Zurich open data, covering information on social income assistance over a 19 year period The column types were incorrect, so initial importing was a problem (changed). Spatial file issues too,
Files were exported but not the images
Mapping of wealth in Zurich Data gained from Swiss government and were not R-ready, but some easy data cleaning, cut and rename a few variables. The initial Shape files were middle east rcs data huge and had to be cut down. R visualisation tools
Choropleth by party, and clicking on a party highlights region where seats were won
National picture of fertility in Denmark Danish Statistics databank, fertility data from 2007-2013 Initially connecting to the API was difficult, and data format issues. As new to R, hard to merge the Shape file with the data. R. Stats show a decline in fertility across the years. Would like to go onto look at contributing causes
Visualising human rights abuses Statistics about the prison population via the API for the World Prison Brief, from the Ministry of Justice website. Hard to make the Shape files work. The API was inconsistent. Used ggplot to cluster prison population by continent. Used httr, R Natural Earth and SF packages (latter did not work with ggplot).
Added code to GitHub
Plotting the magnitude of earthquakes Earthquakes data from Kaggle Classified detailed levels of magnitudes into moderate, extreme etc. Used ggplot and leaflet to map them by location.
Trends in COVID 19 infection and country-level strategies COVID 19 API logging confirmed cases by country Premium data was expensive; free data quite basic Aimed to use ggplot and httr to plot country level cases by strategy