Introduction by Volunteer Editor (Florian Cafiero): This post outlines the benefits of using a statistical software such as R for data analysis and visualization in DH, through the study of a correspondence network.
When beginning the process of counting, the first instinct is to open a spreadsheet. The end result might be the production of tables and charts created in the very same spreadsheet document. In this post, I want to show why this spreadsheet-centric workflow is problematic and recommend the use of a programming language such as R as an alternative for both analyzing and visualizing data.
Original publication date: 02/10/2017