Visualisation: visual representations of data and information

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.

• 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