Презентация на тему "Data visualization"

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  Data Visualization

  Connecting research to the world

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  Why is visualizing data important? A big problem with social research (and many other types of research) today is that it doesn’t reach many of the most important audiences (the public, research participants etc.) What does research generally produce? HUGE BORING REPORTS NOBODY WANTS TO READ!

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  Why the disconnect? Most researchers communicate in language only researchers use Most organizations paying for research don’t know to ask for something different Like all other industries, researchers have their own dogma – change is difficult Why the does it matter? Much of the research done is wasted People who are researched deserve to see the results The bigger the audience is, the more information you will draw from the research

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  Visualizing data is about telling a story Every data point has a story – just like a character in a book There are relationships, and interactions with data – just like characters in a book How you present data can help people remember Good visualization can make people take action Raw Data Story Telling Action!

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  The art and science of data visualization Part scientist / researcher, part computer programmer, part graphic designer, part story teller Raw data Computer programming Graphic design

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  Common types of “out-of-the-box” visualizations Sociologist generally use SPSS Many other analysts use Excel Statisticians use “R” Graphic designers use Illustrator or Inkskape All have their advantages and disadvantages as seen next…

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  SPSS: Advantages: Widely used in social sciences Extensive number of features Very rigorous analytical capabilities Able to handle large amounts of data Disadvantages: UGLY charts Limited number of visualizations Incredibly expensive Not used by anyone but sociologists

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  Excel: Advantages: Used in nearly every office Very easy Able to handle somewhat large datasets Decent graphic quality Disadvantages: Limited chart types Not the best graphics

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  R: Advantages: Free! (legally) Able to handle large datasets Countless analytical functions Disadvantages: Requires coding knowledge Ugly graphics

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  Illustrator / Inkscape: Advantages: Amazing graphic quality Limitless flexibility for types of graphics Disadvantages: No analysis functions Easier to make mistakes

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  The best outcomes are a mix of programming and graphic design Programming Options: Java Javascript HTML Python PHP Flash HTML

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  Static examples:

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  Static examples:

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  Static examples:

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  Dynamic examples: Tableau and Gapminder http://www.tableausoftware.com/learn/gallery/high-school-reading-and-math-scores http://www.gapminder.org/world/ http://www.gapminder.org/videos/200-years-that-changed-the-world-bbc/

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  What story do you want to tell?