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The Open University

Visualisation: visual representations of data and information

The Open University via OpenLearn

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Overview

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PLEASE NOTE: This course will be closing soon and will be removed from OpenLearn on Tuesday 1 April 2025. Please make sure you have finished studying the course by then. Modern society is often referred to as 'the information society' - but how can we make sense of all the information we are bombarded with? In this free course, Visualisation: visual representations of data and information, you will learn how to interpret, and in some cases create, visual representations of data and information that help us to see things in a different way.

Syllabus

  • Introduction
  • Learning outcomes
  • 1 Before you begin your study
  • 1 Before you begin your study
  • 1.1 An introduction to visualisation
  • 2 The most common spreadsheet charts
  • 2 The most common spreadsheet charts
  • 3 Cheating with charts
  • 3 Cheating with charts
  • 3.1 Cheating with line charts
  • 3.2 Cheating with bar charts
  • 3.3 Cheating with pie charts
  • 4 Hierarchical data
  • 4 Hierarchical data
  • 4.1 Radial and hyperbolic trees
  • 4.2 Treemaps
  • 5 Geographical data
  • 5 Geographical data
  • 5.1 Maps on the web
  • 5.2 Making your mark – plotting data points on a map
  • 5.3 Geocoding your data
  • 5.4 Proportional symbol maps
  • 5.5 Choropleth maps
  • 5.6 Heat (isopleth) maps
  • 5.7 Cartograms
  • 6 Multi-dimensional data
  • 6 Multi-dimensional data
  • 7 Some caveats
  • 7 Some caveats
  • 8 Conclusion
  • 8 Conclusion
  • 9 Taking it further (optional material)
  • 9 Taking it further (optional material)
  • 9.1 Exploring time-series data (optional)
  • 9.2 Creating organisational charts (optional)
  • 9.3 Mind-mapping tools (optional)
  • 9.4 Exploring KML further (optional)
  • 9.5 Map overlaying skills (optional)
  • 9.6 Web developer skills (optional)
  • 9.7 Further visualisation skills (optional)
  • References
  • Acknowledgements

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Reviews

5.0 rating, based on 2 Class Central reviews

3.8 rating at OpenLearn based on 16 ratings

Start your review of Visualisation: visual representations of data and information

  • Profile image for Zishan Haider
    Zishan Haider
    1
    great, I really appreciate the effort of team . this type of course is very useful for those student who started the field of data science.
  • Profile image for Anjas Dwi Kusuma Atmaja
    Anjas Dwi Kusuma Atmaja
    1
    Great information regarding data visualisation and reference nd introduction into the world of data visualisation and its complexity. Very useful links and references provided
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