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Jodie Adams
Jodie Adams

This document outlines a project to analyze different types of data visualizations. It will gather data from a Facebook group on information visualization by tracking likes, comments, and shares to determine which visualizations are most popular. The project will classify visualizations as scientific, middle, or artistic and display the findings in a visualization. It will also examine relationships between themes in visualizations and integrate technical, creative, and contextual skills.

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DATA VISUALIZATION Jodie Adams
SUMMARY My project will look at different types of data visualisations and determent, which is more popular. It will take data from a Facebook group called Information Aesthetics which is linked to blog where people post links to their visualisations they have made. I will determine which visualisation are the most popular by how many likes, comments and shares each of them have. I will display the information I have found in a visualisation.
VISUALISATION BLOG
GATHERING INFORMATION
FACEBOOK GRAPH API EXPLORER
SCIENTIFIC VISUALISATION There is the very basic type of visualisation, this includes things like charts and simple diagrams. These are mostly used in teaching or when presenting statistics. Fields, A (2009) discovering statistics using SPSS. 3rd edition. London: SAGE publishing Ltd
THE MIDDLE VISUALISATION The next type of visualisation uses both writing and pictures to get the information across. This is a more common form of visualisation, we see this in our day-to-day lives. It is used for such things as maps, the weather, more complicated diagrams and to show trends Mosher, D. (2011) Data as Art: 10 Striking Science Maps Wired Science, 8th March. Available at http://www.wired.com/wiredscience/2011/03/best-science-maps/?pid=1052 (accessed: 24th November 2011)
ARTISTIC VISUALISATION The last type of data visualisation is used for artistic purposes. These tend to be pictures that use data to create them, even though looking at the end result it is not possible to tell that data was the reason for the artwork. Reichardt. A (1971) The computer in art. London: Studio Visia Limt R旦mhild, C. & Harrison, C. (2007) Bible Cross-References. Available at http://www.chrisharrison.net/index.php/Visualizations/BibleViz (accessed: 24th November 2011)
TIMETABLE
SCIENTIFIC OUTCOME
MIDDLE VISUALISATION OUTCOME
ARTISTIC OUTCOME
RELATIONSHIP THEME CNN's Ecosphere (2011) CNN Ecosphere: 3D Ecosystem Globe Grows on #cop17 Tweets. Available at http://infosthetics.com/archives/2011/11/cnn_ ecosphere.html (accessed: 24th November 2011)
ANALYSIS AND PROBLEM SOLVING
RESEARCH AND CRITICAL CONTEXT
REALIZATION
INNOVATION AND CREATIVITY
INTEGRATION OF TECHNICAL, CREATIVE AND CONTEXTUAL SKILLS
THANK YOU Presentation by Jodie Adams Thank you for listening Any Questions

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201

  • 1. DATA VISUALIZATION Jodie Adams
  • 2. SUMMARY My project will look at different types of data visualisations and determent, which is more popular. It will take data from a Facebook group called Information Aesthetics which is linked to blog where people post links to their visualisations they have made. I will determine which visualisation are the most popular by how many likes, comments and shares each of them have. I will display the information I have found in a visualisation.
  • 6. SCIENTIFIC VISUALISATION There is the very basic type of visualisation, this includes things like charts and simple diagrams. These are mostly used in teaching or when presenting statistics. Fields, A (2009) discovering statistics using SPSS. 3rd edition. London: SAGE publishing Ltd
  • 7. THE MIDDLE VISUALISATION The next type of visualisation uses both writing and pictures to get the information across. This is a more common form of visualisation, we see this in our day-to-day lives. It is used for such things as maps, the weather, more complicated diagrams and to show trends Mosher, D. (2011) Data as Art: 10 Striking Science Maps Wired Science, 8th March. Available at http://www.wired.com/wiredscience/2011/03/best-science-maps/?pid=1052 (accessed: 24th November 2011)
  • 8. ARTISTIC VISUALISATION The last type of data visualisation is used for artistic purposes. These tend to be pictures that use data to create them, even though looking at the end result it is not possible to tell that data was the reason for the artwork. Reichardt. A (1971) The computer in art. London: Studio Visia Limt R旦mhild, C. & Harrison, C. (2007) Bible Cross-References. Available at http://www.chrisharrison.net/index.php/Visualizations/BibleViz (accessed: 24th November 2011)
  • 13. RELATIONSHIP THEME CNN's Ecosphere (2011) CNN Ecosphere: 3D Ecosystem Globe Grows on #cop17 Tweets. Available at http://infosthetics.com/archives/2011/11/cnn_ ecosphere.html (accessed: 24th November 2011)
  • 18. INTEGRATION OF TECHNICAL, CREATIVE AND CONTEXTUAL SKILLS
  • 19. THANK YOU Presentation by Jodie Adams Thank you for listening Any Questions