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An Introduction to Jupyter Notebooks for Social Science Research

Presenter(s): Vernon Gayle


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I'm going to tell you about Jupyter notebooks and how they can help benefit Social Science research. If you're a social science researcher and interested in improving how you undertake statistical data analysis, in this video, it is designed to introduce you to Jupyter notebooks. I'm a fairly recent convert to use in Jupyter notebooks but in the next 10 minutes I hope to convey some of my enthusiasm and to encourage you to consider using them in your research.

What are Jupyter notebooks?

Jupyter notebooks are an open-source web application that facilitates the creation and sharing of documents that contain LIVE code and supporting commentary in the form of an explanatory text. It's a platform that can be used throughout the research process to organize an articulate elements of the social science workflow. The Jupyter notebook is open source and supports interactive data analysis in over 40 programming languages.



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About the author

My work involves the statistical analysis of large-scale and complex social science datasets. These datasets include both social surveys and administrative data resources. The analysis of longitudinal (i.e. repeated contacts) data is an area in which I specialize. The main substantive focus of my work is social stratification. I have particular interests in the sociology of youth and youth transitions, education and sport. I also have interests in demography, with a focus on migration, and to a lesser extent fertility. I have also undertaken work in the area of digital social research.

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