Book contents
- Front matter
- Contents
- List of figures
- List of tables
- Acknowledgements
- Glossary
- Introduction
- 1 The context of digital history
- 2 Formulating your research questions
- 3 How a digital project begins
- 4 Working with text 1: Unstructured text
- 5 Working with text 2: Structured text
- 6 Caring for your digital history project
- 7 Visualising your data
- 8 What next for digital history?
- Test yourself answers
- Appendix 1: Getting the data
- Appendix 2: Some command line recipes
- Appendix 3: Regular expressions
- References
- Index
7 - Visualising your data
Published online by Cambridge University Press: 28 February 2026
Book contents
- Front matter
- Contents
- List of figures
- List of tables
- Acknowledgements
- Glossary
- Introduction
- 1 The context of digital history
- 2 Formulating your research questions
- 3 How a digital project begins
- 4 Working with text 1: Unstructured text
- 5 Working with text 2: Structured text
- 6 Caring for your digital history project
- 7 Visualising your data
- 8 What next for digital history?
- Test yourself answers
- Appendix 1: Getting the data
- Appendix 2: Some command line recipes
- Appendix 3: Regular expressions
- References
- Index
Summary
This chapter offers a guide to visualising historical data, with two case studies centred on the Post Office directory data used throughout the book. The first visualisation is two stacked bar charts showing the most common female professions against men in the same professions and breaking down professions by married and unmarried women. The second visualisation is a map of one London street in 1879, with discussion of the process and the thinking that led to the finished visualisation.
Information
- Type
- Chapter
- Information
- Doing digital historyA beginner’s guide to working with text as data, pp. 123 - 148Publisher: Manchester University PressFirst published in: 2026
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