Skip to main content
  • 1066 Accesses

Abstract

Data visualisation is an effective tool in the scientific process that can also be a powerful tool for communication. The challenge of visually communicating data often comes from different levels of literacy possessed by our intended audience—from field experts to policymakers to the general public. While there are many useful tools to visualise data, providing value to a diverse audience requires a user-centred approach. In this chapter, we discuss “good” visualisation. From understanding your audience and context to principles essential for creating and evaluating a visualisation, this chapter will take you through the key considerations in the iterative development of a valuable and effective visualisation.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 49.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Phillip Gough .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Gough, P., Zhao, J. (2023). Data Visualisation. In: Rowland, S., Kuchel, L. (eds) Teaching Science Students to Communicate: A Practical Guide. Springer, Cham. https://doi.org/10.1007/978-3-030-91628-2_7

Download citation

Publish with us

Policies and ethics