WRI363 Analyzing, Interpreting, and Communicating Data
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- Course Code: WRI363
- Course Title: Communicating in a World of Data
- Referencing Styles: APA
- Words: 2500
- University: University of Toronto
- Country: CA
Project 2: Visualize a Dataset
PROMPT: Choose a data set from our 4 open data sources. You may use the same data set that you used for Project 1 if you wish. Filter the data for a set of attributes with the wish to make a simple visualization according to the basics outlined in this week’s lecture. See “approach” below for more details about what is expected.
SOURCE OF DATASETS: Government of Canada Open Data Portal (Links to an external site.) Gapminder (data on global economic inequity) (Links to an external site.) Pew Research Center’s Open Datasets: (Links to an external site.) Statista (open business data platform).
APPROACH: – Filter your dataset for a good subset of numbers that respond to a specific context. That is to say, and there should be a reason you chose this piece of the dataset. – Play with the data you’ve chosen to visualize in visualization software. You may use one of the two simple tools that are linked in this week’s module or something more sophisticated if you are comfortable. The point of this project is that you get the basics, which are clarity, emphasis, and appeal. This visualization should be quite simple; it doesn’t have to be flashy! – After you play around a bit, decide on one visual to submit. Be sure that the type of chart/graphic you choose is appropriate to the data type, as described in this week’s lecture. – Be sure to give your visual a title, legend, and clear citation of the data source. Include the software you used to make the image in the caption along with your citation.
AUDIENCE: Your fellow students, for now. Think of this as a visualization that could be used in a larger piece about a more complex problem.
LENGTH: Depending on how you size your image, this project will probably fit on one page.
Criteria: Context There’s a clear reason you’ve chosen this data subset. Clarity You’ve simplified and used design elements to make what you want us to see clearly. Emphasis Design elements emphasize what you want us to see. Appeal The visualization looks good. Appropriate Chart Type You’ve chosen a chart appropriate for the type of data. Title, Legend, and Citation You’ve given your visualization these three key elements. Be sure to include the software you used in the citation caption.