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.
Overview
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
Tags
Reviews
5.0 rating, based on 2 Class Central reviews
3.9 rating at OpenLearn based on 9 ratings
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Zishan Haidergreat, I really appreciate the effort of team . this type of course is very useful for those student who started the field of data science. -
Great information regarding data visualisation and reference nd introduction into the world of data visualisation and its complexity. Very useful links and references provided
