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Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
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Information is beautiful

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Presentation for VITTA Conference 2010

Presentation for VITTA Conference 2010

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  • 1. INFORMATION IS BEAUTIFUL VITTA Conference 2010 Session 2320 Margaret Lawson
  • 2. About Me  Teaching since 1994  IT/Humanities background  Contributing authors to “Information Technology Unit 1 and 2” Cengage  DataVisualisation Chapter 5
  • 3. What am I talking about? 2011 Unit 2 study design, Area of Study 1  Defining “DataVisualisation”  Study design requirements  What do we mean by “big databases”  How can we teach this to our kids?  Possible Project ideas
  • 4. “A better experience through good design” goincase.com
  • 5. The love affair … © 1999 http://www.peacockmaps.com/
  • 6.  Atlas of Cyberspace: http://personalpages.manchester.ac.uk/staff/ m.dodge/cybergeography//atlas/atlas.html  An old web site  Feb 2004  Artistic  Conceptual  Geographical Maps
  • 7. Obsession with analytics
  • 8. What is Data Visualisation  boring data -> compelling visualisation  Example:  List of late students  Visualisation = greater meaning
  • 9. Background  EdwardTufte (http://www.edwardtufte.com/)  Statistician  expert in the presentation of informational graphics such as charts and diagrams
  • 10. http://www.edwardtufte.com/tufte/nymag
  • 11. Understanding the Study Design  DataVisualisation  Knowledge  Types  Purpose  Suitability  Needs of Users  Evaluating  Skills  Create effective data visualisation
  • 12. http://www.visual-literacy.org/periodic_table/periodic_table.html
  • 13. Types  “Your data is meant for action”  Juice Analytics http://www.juiceanalytics.com/chartchooser/  Comparing data  Distribution of data  Relationships between two data sets  Composition of data
  • 14. Chart Chooser
  • 15. Purpose  Comparing data  ‘Where is the web traffic coming from?’Australia or USA -> Pie Chart  Distribution of data  ‘When are people accessing the web site?’ Morning or night? -> ColumnChart  Relationships between two data sets  ‘Hits on the blog vs. Sales on online store’  -> Scatter Chart  Composition of data  How does the data change over time?
  • 16. The Whitburn Project  120 years of chart history in the US  Spreadsheet of 37,000 songs and 112 columns of raw data  Relationship between song duration and length of stay in chart  http://waxy.org/2008/05/the_whitburn_projec t/
  • 17. 21 Mb file available through text book web site
  • 18. Compare frequency of word use using wordle.net
  • 19. Suitability  Choose appropriate data for visualisation  Students access big databases, understand what the data is telling them and then choose what they need to use.
  • 20. Sites you should visit  Australian Bureau of statistics  http://www.abs.gov.au/  OECD  http://www.oecd.org/  Google Public Data  http://www.google.com/publicdata/directory
  • 21. Implementing the Outcome  Problem to be solved  Kids accessing authentic data from large data repositories  Local vs. global problems  Presenting key aspects of the data in a visual form back to the client/user  Suitability of data chosen  Suitability of Data visualisation chosen
  • 22. Possible examples  Students have to visualise data to aid in decision making  Sponsorship of Child  Which country is in need of your money?  Where should the soccer world cup go?  Which country would benefit economically by the decision?
  • 23. Example from the book  Your school has sponsored a child in Sudan  needs to choose another sponsor child  Produce a series of data visualisations that would assist them with their decision. 1. Identify three potential sponsorship children 2. Use big databases (http://data.worldbank.org/) to choose suitable information about Health and Education 3. Perhaps compare with Australian data 4. Present a compelling presentation
  • 24. Tools for Data visualisation  MS Excel  Simple charts  Many Eyes http://manyeyes.alphaworks.ibm.com/manye yes/  Google chart http://code.google.com/apis/chart/docs/galle ry/chart_gall.html
  • 25. Research  7 things you should know about Data visualisation http://www.educause.edu/ELI/7ThingsYouShouldKnowAbo utDataV/162091  16 Awesome Data visualisation tools http://mashable.com/2007/05/15/16-awesome-data- visualization-tools/  40 essential tools to visualise data http://flowingdata.com/2008/10/20/40-essential-tools-and- resources-to-visualize-data/  Open Flash Chart http://teethgrinder.co.uk/open-flash-chart/  28 rich DataVisualisationTools http://insideria.com/2009/12/28-rich-data-visualization- too.html
  • 26. Contact me  Margaret Lawson  mlawson@stmichaels.vic.edu.au St. Michael’s Grammar School (on leave throughout 2011)  margaret.lawson@konstantkaos.net

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