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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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    Information is beautiful Information is beautiful Presentation Transcript

    • 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” Cengage
      Data Visualisation Chapter 5
    • What am I talking about?
      2011 Unit 2 study design, Area of Study 1
      Defining “Data Visualisation”
      Study design requirements
      What do we mean by “big databases”
      How can we teach this to our kids?
      Possible Project ideas
    • “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 site
      Feb 2004
      Artistic
      Conceptual
      Geographical Maps
    • Obsession with analytics
    • What is Data Visualisation
      boring data -> compelling visualisation
      Example:
      List of late students
      Visualisation = greater meaning
    • Background
      Edward Tufte (http://www.edwardtufte.com/)
      Statistician
      expert in the presentation of informational graphics such as charts and diagrams
    • http://www.edwardtufte.com/tufte/nymag
    • Understanding the Study Design
      Data Visualisation
      Knowledge
      Types
      Purpose
      Suitability
      Needs of Users
      Evaluating
      Skills
      Create effective data visualisation
    • http://www.visual-literacy.org/periodic_table/periodic_table.html
    • Types
      “Your data is meant for action”
      Juice Analyticshttp://www.juiceanalytics.com/chartchooser/
      Comparing data
      Distribution of data
      Relationships between two data sets
      Composition of data
    • Chart Chooser
    • 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? -> Column Chart
      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?
    • 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_project/
    • 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 telling them and then choose what they need to use.
    • 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
    • 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
    • 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?
    • 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.
      Identify three potential sponsorship children
      Use big databases (http://data.worldbank.org/) to choose suitable information about Health and Education
      Perhaps compare with Australian data
      Present a compelling presentation
    • Tools for Data visualisation
      MS Excel
      Simple charts
      Many Eyes http://manyeyes.alphaworks.ibm.com/manyeyes/
      Google charthttp://code.google.com/apis/chart/docs/gallery/chart_gall.html
    • Research
      7 things you should know about Data visualisationhttp://www.educause.edu/ELI/7ThingsYouShouldKnowAboutDataV/162091
      16 Awesome Data visualisation toolshttp://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 Charthttp://teethgrinder.co.uk/open-flash-chart/
      28 rich Data Visualisation Toolshttp://insideria.com/2009/12/28-rich-data-visualization-too.html
    • Contact me
      Margaret Lawson
      mlawson@stmichaels.vic.edu.auSt. Michael’s Grammar School(on leave throughout 2011)
      margaret.lawson@konstantkaos.net