This beginner-level session is the first in our Humanities and Social Sciences data organization and analysis series. To use tools that make computation and analysis more efficient, such as programming languages like R or Python, we need to structure our data the way that computers need the data. In this workshop, you will learn good data entry practices, how to avoid common formatting mistakes, approaches for handling dates in spreadsheets, basic quality control and data manipulation, and exporting data from spreadsheets. We will focus on examples and challenges from the Humanities, Social Sciences, and library research fields and use librarycarpentry.org materials. There are no prerequisites.

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