1. Research Question(s): Brief summary of the research questions motivating your data visualization. These should be answerable and expressed in a way that guides your visualization design decisions. 2. Data Source(s): Give the titles and URLs of all data sources , e.g. Global unemployment forecast to hit 212m - http://www.theguardian.com/news/datablog/2015/jan/20/global-unemployment-forecast-to-hit-212m-country-by-country-breakdown) 3. User Instructions: Brief instructions on how to use your data visualization. You may include screen shots if you wish. . If technical problems have prevented you from implementing everything you intended, you may include mockups/brief descriptions of you intended design here too 4. Design Justification: Provide a detailed justification for the design choices you made in creating your visualization sketch. They should be categorized under the following two headings (you may wish to refer to Munzner, 2014 Ch.4 and Ch. 5 to help structure your answer). 4.1 Visual Encoding: 4.2 Interaction: 5. Data Insights: Provide a description of what your data visualization has allowed you to discover about the data that helped to answer your research questions. You will get credit for demonstrating that it was the visualization specifically that led to these insights. 6. Critical Evaluation and Reflection (Postgraduate students only): Evaluate the degree to which your visualization has helped to answer your research questions. What are the strengths and limitations of the visualization process in answering your questions? What might you do differently if you were to do this exercise again? 7. References [on a single separate page, using Harvard referencing style: http://www.citethisforme.com/harvard-referencing]