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Data visualisation workshop
- 1. Newspaper Data Visualisation Workshop 2 October 2019 British Library & London College of Communication
- 2. www.bl.uk Newspapers at the British Library • The national collection, from 1619 to present day • Over 34,000 titles, or 60 million individual issues, or 450 million pages • 25,000 titles from the UK and Ireland • 34 million pages are available at www.britishnewspaperarchive.co.uk • To date, selection of newspaper titles for digitization undertaken by Findmypast • To date, all data created through digitisation is owned by Findmypast 2
- 3. www.bl.uk Heritage Made Digital Newspapers 3 • British Library project to digitise newspapers for itself, alongside Findmypast operation • Target – 1.3 million pages by 2022 • Over 200 titles, with focus on poor/unfit titles published in London • Titles will all be made available on British Newspaper Archive • All titles will eventually be openly available online • All metadata, including derived data (OCR, entities) owned by British Library and to be made openly available, with other newspaper data to follow
- 4. www.bl.uk Our newspaper data plans 4 • To encourage multiple uses of data derived from newspapers • Treating newspaper data as a ‘collection’ in its own right Outputs • Bibliographical list of all BL UK and Irish newspapers • HMD and other newspaper data openly available through BL’s new digital repository • Visualisations of the collection to help explore and understand it Users • Academics using ‘big data’ for new kinds of research • General users unfamiliar with data or easy-to-use tools • Creatives
- 5. www.bl.uk • We aim to develop a series of workshops with London College of Communication, which will integrate newspaper data analytics with creative design • Today is a trial workshop to test ideas • The wider goal is to help researchers understand how to visualise the complexities of the Library’s newspaper collection 5 Workshop goals
- 6. www.bl.uk Python Programming language, becoming the industry standard for data analytics 6 Programming tools we use R Programming language with good visualisation packages Jupyter Notebooks & JupyterHub Tools which allow for interactive and shareable Python code e.g. https://github.com/GLAM-Workbench BL Labs version coming soon
- 7. www.bl.uk • Learn how to use these at: • https://programminghistorian.org/ • https://software-carpentry.org/ • Watch out for Adult Learning courses at British Library next Autumn 7 Programming tools we use
- 8. www.bl.uk Voyant https://voyant-tools.org/ Easy-to-use web application for text mining 8 Visualisation tools we use Palladio https://hdlab.stanford.edu/palladio/ Online tool for visualising structured historical data (people and places)
- 9. www.bl.uk • Named Entity Recognition using the Python library NLTK • Named Entity Recognition is the term for a range of methods for detecting certain types of words in text, such as people, places and organisations • Can be used to analyse the prominence of certain people or places in a large dataset 9 Methods used for today
- 10. www.bl.uk • Simple text mining with R and the library tidytext • Counting word frequencies can help us to ‘see inside’ large amounts of text, and detect patterns we might otherwise miss • We might use it to understand the focus of a particular newspaper title, or to compare reporting over different chunks of time 10 Methods used for today
- 11. www.bl.uk Thanks for attending, we really value your participation and your thoughts 11