START... Visualising Data with Python

Southampton Digital Humanitiesenables staff and students to take digital and computational approaches to the humanities work. It provides access to technologies that enable us to make and explore virtual worlds, sonify pictures, scan and manipulate heritage objects, immerse ourselves in data visualisations, and much more. And it provides expertise in digital humanities approaches and methods, including digital infrastructures, critical data studies, and computational analysis.To make clear what is expected, all participants (including speakers, exhibitors, organisers and volunteers) at our events are required to agree to and abide by aCode of Conduct.

Southampton Digital Humanities

In this START session, we will use Python to manipulate and visualise historical data

<p>Data visualisation is an active process. It involves decisions and choices that amount to a form of storytelling. Creating data visualisations is also a good way into learning a new programming language. In this START session, you'll learn how to use Python (a programming language widely used in research) to explore, visualise, and tell stories with data.This session will be hosted online. Please download and unzip the dataset 'A Bibliographic Dataset for Beyond Notability' <a href="https://zenodo.org/records/13684929" title="https://zenodo.org/records/13684929" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">https://zenodo.org/records/13684929</a> in advance of the workshop</p><p>Thank you for providing your data to the University of Southampton’s School of Humanities. By providing us with your email address, we will use it to contact you in regards to this event. We are committed to protecting your data and privacy. You can read more about what we do with your data in the University of Southampton's <a href="https://www.southampton.ac.uk/about/governance/policies/privacy-policy.page" title="https://www.southampton.ac.uk/about/governance/policies/privacy-policy.page" target="_blank" data-msys-clicktrack="0" rel="nofollow noopener noreferrer">privacy notice</a>.</p>

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START... Visualising Data with Python

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START... Visualising Data with Python

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