Summary

In this recorded, three-part livecoding series, Christopher Wolfram shows how the Wolfram Language can be used to analyze systematically curated data. Semantic interpretation combined with the ability to work with numerical as well as textual data provides a robust framework for data analysis. Dataset functionalities, along with visualization functions built into the language, help to explore various attributes of the data and to draw relevant conclusions. Example datasets are investigated; in particular, geo-computation capabilities of the Wolfram Language are showcased to view the geographic distribution of a specific parameter.