Assignment Descriptions Number Stories And Visualization Analysis

ESS 33634-01: Data Visualization, Society, and Student Learning Assignment Descriptions: Spring 2019 Individual Explorations Instructor: Christine Trinter Phone: (574) 631-5763 Email: [email protected]

Teaching Assistant: Catherine Floyd Phone (574) 631-1712 Email: [email protected]

Workshop Day 4 (March 19th): Number Stories and Visualization Analysis The purpose of this assignment is to provide you with the opportunity to conduct your own data visualization experiment in the spirit of the research studies we have read. For this assignment, you have the choice to either create your own data visualizations or use existing graphics. If you choose to create your own, you might consider exploring the Tableau tool as this is an easy to use and powerful tool for creating visualizations (although, this is not required). Using anywhere from one to three datasets, create six visualizations. For example, if you are using one dataset, you might create 6 different visualizations representing that data. If you are using 2 different data sets, you would create three different visualizations for each set, and if you are using 3 different data sets, you will create 2 visualizations for each set. Once you have created these visualizations, you will share them with three friends and ask these friends at least four questions pertaining to their perceptions of each data set. The questions you craft should garner information about the viewers’ understandings of the graphics. Your questions should be based on principles that we have learned about in class. In essence, you are testing some of the theories that we explored. You may choose to focus on elementary perceptual tasks as in Cleveland and McGill (1984), or you may choose to focus on another theory of more interest to you. What are you curious about testing? Craft a presentation that includes the visualizations, the questions, your raw data (participant writing and recorded interview), and an analysis of the data. Consider your results in light of the readings to generate your analysis. Grading Scale (20%) Six visualizations were used and explanations or 5% justifications for these choices are described. At least four questions were included that were relevant and garner revelatory information about the graphic.

5%

The raw data was included as well as a thoughtful and clearly articulated analysis of the findings.

5%

The presentation was thoughtful, clearly communicated, and includes relevant information for relaying project findings.

5%