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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