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The Open University

Visualisation: visual representations of data and information

The Open University via OpenLearn

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Overview

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 15 ratings

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

  • Profile image for Zishan Haider
    Zishan Haider
    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
    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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