Yesterday’s workshop provided an overview of common visualisation techniques, including maps, timelines, graphs, network visualisations, entity recognition and topic modelling. We learned how to access, manipulate and analyse data using visualisation tools such as Gephi, Google Ngram, Bookworm Open Library and TextRazor, and were encouraged to think critically about what’s happening “under the hood” in scholarly data visualisation sites such as Digital Harlem, Visualizing Emancipation, Lost Change and Mapping the Republic of Letters. Finally we were introduced to Google’s Fusion Tables and shown how to create maps from geocoded data.
This was a very satisfying course to have attended and I’m sure everyone came away from it feeling, like me, that they could now confidently produce pie-charts, graphs, networks and other “pretty pictures” to enhance their various projects. If you’d like to know more, there are links to visualisation blogs and other specialist sites on Mia’s Resources blogpost at http://www.miaridge.com/resources-for-data-visualisation-for-analysis-in-scholarly-research/ . It’s a colourful and fascinating world to dive into.