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Data presentation

  • Julian Flowers*
  • , Katie Johnson
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

    1 Citation (Scopus)

    Abstract

    This chapter will address key issues in the presentation of data in public health intelligence. Data needs to be communicated to create insight, or infl uence change and the visualisation and presentation of data in public health practice is a core skill and growing in importance. It will show how to select and create appropriate charts, discuss some of the new and developing tools available, and give some examples of how data can infl uence policy and practice and visualisation can bring insight and clarity. After reading this chapter you will be able to: • Describe the importance of effective data presentation and the key considerations when choosing how to present the data. • Understand the different types of data presentation, their strengths and limitations, and when they are best used. • Know the key principles and common pitfalls of data presentation. • Understand the benefits of interactive data visualisation and how different techniques can be used to enhance data presentation. • Know where to go to find further reading and tools that may help you present your data.

    Original languageEnglish
    Title of host publicationPublic Health Intelligence
    Subtitle of host publicationIssues of Measure and Method
    PublisherSpringer International Publishing
    Pages203-223
    Number of pages21
    ISBN (Electronic)9783319283265
    ISBN (Print)9783319283241
    DOIs
    Publication statusPublished - 26 Apr 2016

    Bibliographical note

    Publisher Copyright:
    © Springer International Publishing Switzerland 2016.

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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