Presentation narrative document
 Introduce the platforms you tracked
 Report minimum ten (10) statistics in the presentation
May be integrated as data visualizations
Four (4) of these must come from resources
Six (6) from the aggregated class data
 Six (6) data visualizations from the aggregated class data should be displayed in the presentation
Data visualizations from resources may be included in addition to the required six
 Analysis:
Synthesize information, analyses, critiques, and conclusions from the exercise above and
resources to form a cohesive analysis of the web-activities
Present the main points of the analysis as recorded narration accompanied by summary
statements and bullet points
 These should be integrated with the statistics and visualizations
 The presentation should tell a social story about our relationship with the web
Individual Work Preparation:
• Download the Data becomes you Data Entry Template in Module 5.1
 Collect your personal data for two (2) weeks, 14 consecutive days
• Locate at least two (2) good media pieces that discuss quantitative aspects about your platform (this will also serve as a resource for the team project)
Data:
• Using the rules of level of measurement choose the appropriate statistics to
 Calculate at least eight (8) distinct statistics: 4 for the individual data and 4 for the class level data
 Ensure to combine variables, i.e. rate, frequency and time
 Create at least four (4) data visualizations
Areas to Explore and in preparation
What you thought of
Personal web-based habits
 How much time do you assume you spend online, generally
 What do you usually do online
 Do you interact with others online
 What’s the content of your interactions like, generally
 What interests you about web behavior turning into data?
 Does it cause you concerns? What/Why?

What you found out
Discuss your individual data/findings
 Integrate the various calculated statistics
 Include data visualization examples (with own data)
 Reflect on these findings
• How do the patterns you identified relate to your
 Self-understanding
 Habits
 Relationships
• Discuss your personalized experiences on the web and how “good” the predictive
methods are relative to your tastes and interests
• Discuss class-level data/findings
  Integrate the various calculated statistics
  Include data visualization examples (with own data)
  Reflect on these findings
 What you know understand
o Integrate the resources (media, articles, readings) into an analysis of the aggregated individual
o data for the larger social analysis
o Turn results into informed statements about the social and personal implications of the web activities explored and the general dynamic of data-driven web services and consumption