INFORMATION IS BEAUTIFUL
VITTA Conference 2010
Session 2320
Margaret Lawson
About Me
 Teaching since 1994
 IT/Humanities background
 Contributing authors to “Information
Technology Unit 1 and 2” ...
What am I talking about?
2011 Unit 2 study design, Area of Study 1
 Defining “DataVisualisation”
 Study design requireme...
“A better experience through
good design”
goincase.com
The love affair …
© 1999 http://www.peacockmaps.com/
 Atlas of Cyberspace:
http://personalpages.manchester.ac.uk/staff/
m.dodge/cybergeography//atlas/atlas.html
 An old web ...
Obsession with analytics
What is Data Visualisation
 boring data -> compelling visualisation
 Example:
 List of late students
 Visualisation = ...
Background
 EdwardTufte (http://www.edwardtufte.com/)
 Statistician
 expert in the presentation of informational
graphi...
http://www.edwardtufte.com/tufte/nymag
Understanding the Study
Design
 DataVisualisation
 Knowledge
 Types
 Purpose
 Suitability
 Needs of Users
 Evaluati...
http://www.visual-literacy.org/periodic_table/periodic_table.html
Types
 “Your data is meant for action”
 Juice Analytics
http://www.juiceanalytics.com/chartchooser/
 Comparing data
 D...
Chart Chooser
Purpose
 Comparing data
 ‘Where is the web traffic coming from?’Australia or
USA -> Pie Chart
 Distribution of data
 ‘...
The Whitburn Project
 120 years of chart history in the US
 Spreadsheet of 37,000 songs and 112 columns
of raw data
 Re...
21 Mb file available through text book web site
Compare frequency of word use using wordle.net
Suitability
 Choose appropriate data for visualisation
 Students access big databases, understand
what the data is telli...
Sites you should visit
 Australian Bureau of statistics
 http://www.abs.gov.au/
 OECD
 http://www.oecd.org/
 Google P...
Implementing the Outcome
 Problem to be solved
 Kids accessing authentic data from large data
repositories
 Local vs. g...
Possible examples
 Students have to visualise data to aid in
decision making
 Sponsorship of Child
 Which country is in...
Example from the book
 Your school has sponsored a child in Sudan
 needs to choose another sponsor child
 Produce a ser...
Tools for Data visualisation
 MS Excel
 Simple charts
 Many Eyes
http://manyeyes.alphaworks.ibm.com/manye
yes/
 Google...
Research
 7 things you should know about Data visualisation
http://www.educause.edu/ELI/7ThingsYouShouldKnowAbo
utDataV/1...
Contact me
 Margaret Lawson
 mlawson@stmichaels.vic.edu.au
St. Michael’s Grammar School
(on leave throughout 2011)
 mar...
Information is beautiful
Information is beautiful
Information is beautiful
Information is beautiful
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Information is beautiful

  1. 1. INFORMATION IS BEAUTIFUL VITTA Conference 2010 Session 2320 Margaret Lawson
  2. 2. About Me  Teaching since 1994  IT/Humanities background  Contributing authors to “Information Technology Unit 1 and 2” Cengage  DataVisualisation Chapter 5
  3. 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. 4. “A better experience through good design” goincase.com
  5. 5. The love affair … © 1999 http://www.peacockmaps.com/
  6. 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. 7. Obsession with analytics
  8. 8. What is Data Visualisation  boring data -> compelling visualisation  Example:  List of late students  Visualisation = greater meaning
  9. 9. Background  EdwardTufte (http://www.edwardtufte.com/)  Statistician  expert in the presentation of informational graphics such as charts and diagrams
  10. 10. http://www.edwardtufte.com/tufte/nymag
  11. 11. Understanding the Study Design  DataVisualisation  Knowledge  Types  Purpose  Suitability  Needs of Users  Evaluating  Skills  Create effective data visualisation
  12. 12. http://www.visual-literacy.org/periodic_table/periodic_table.html
  13. 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. 14. Chart Chooser
  15. 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. 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. 17. 21 Mb file available through text book web site
  18. 18. Compare frequency of word use using wordle.net
  19. 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. 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. 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. 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. 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. 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. 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. 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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