10. Data sources

2015RainfallByMonthByCountry.xls: This dataset came from the World Bank, but does not seem to be easily available on their website any longer at the monthly level. A similar source of data would be their dataset “Average precipitation in depth (mm per year)”

2015TemperaturesByMonthByCountry.xls: This data also came from World Bank, but does not seem to be easily found on their website any longer. Another source of temperature data is Statista. For example, their dataset “Annual anomalies in global land and ocean surface temperature from 1880 to 2024, based on temperature departure”

2016PopulationByRegion.xls: United Nations, Department of Economic and Social Affairs, Population Division (2017). The most current version is World Population Prospects: The 2024 Revision, custom data acquired via their data portal

RomeoAndJulietWordFrequenciesByAct.xls file from the play Romeo and Juliet by William Shakespeare full text: acquired via http://shakespeare.mit.edu/romeo_juliet/full.html and then split into a document per act and run through Voyant Tools: https://voyant-tools.org

Technique: Data Visualization | Tools: Tableau