You will be responsible for posting to the Canvas Discussion Board an example of data visualization being used â€œin the wild.â€ This can come from a news source, social media, think tank report, YouTube commercial, academic article, or virtually any other source that has some relevance to your life. Your assignment is to post a link to the source and critically reflect on the visualization using some aspect of either: 1) Dâ€™Ignazioâ€™s framework for implementing feminist data vizÂ (see reading & discussion for Jan 13); 2) Cairoâ€™s framework for evaluating the qualities of great visualizations (see reading for Jan 15); or 3) some amalgamation of the two frameworks. Prior to the first due date, we will practice evaluating data visualizations using this framework so that you have a general idea of how to approach the assignment. I expect your reflections to be about 500 words (~1 single-spaced page).
Each post is worth five points. You will receive full credit if you post a link and provide a ~500 word (or longer if you desire) narrative that represents a meaningful attempt to reflect on the example using some aspect of Cairoâ€™s framework. Two points will be given to those who simply post a link without a narrative, and three points will be given to those whose narrative lacks any meaningful reflection. My standard for what constitutes â€œmeaningfulâ€ will increase as the quarter progresses, as I will be looking for growth in the depth with which you are able to critically reflect on the technical and contextual details of data visualization.
The following represent suggestions for how you might structure your critique:
Start by discussing the background of the visualization, such as information about the publisher, source(s) of data used, and the general context of publication (i.e., What was happening in the world that motivated or gave meaning to the visualization?).
Who appears to be the target audience(s) for this visualization? What qualities about the visualization and its context (i.e., where it is published) support your conclusion?
What story – or stories – is the author of the visualization intending to tell? What insights were gained by visualizing the data in this way that text alone could not accomplish?
What are some alternative ways to interpret the visualization that may not have been intended by the author? In what ways, if any, is the visualization potentially misleading?
How, if at all, might the interpretation of the visualization change depending on who is reading the visualization? What factors might influence these changes (e.g., the identities of the reader, level of education, cultural familiarity)?
What else strikes you about the visualization? How might Cairo and/or Dâ€™Ignazio suggest that it be improved based on their respective frameworks for creating visualizations?
I do not expect that you will go into the same level of depth for all of these questions. Instead, I offer them here as a guide to help you structure your analysis. Ultimately, I am looking for you to move beyond simply looking at data visualizations and begin the practice of reading them.
We value our customers and so we ensure that what we do is 100% original..
With us you are guaranteed of quality work done by our qualified experts.Your information and everything that you do with us is kept completely confidential.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.Read more
The Product ordered is guaranteed to be original. Orders are checked by the most advanced anti-plagiarism software in the market to assure that the Product is 100% original. The Company has a zero tolerance policy for plagiarism.Read more
The Free Revision policy is a courtesy service that the Company provides to help ensure Customer’s total satisfaction with the completed Order. To receive free revision the Company requires that the Customer provide the request within fourteen (14) days from the first completion date and within a period of thirty (30) days for dissertations.Read more
The Company is committed to protect the privacy of the Customer and it will never resell or share any of Customer’s personal information, including credit card data, with any third party. All the online transactions are processed through the secure and reliable online payment systems.Read more
By placing an order with us, you agree to the service we provide. We will endear to do all that it takes to deliver a comprehensive paper as per your requirements. We also count on your cooperation to ensure that we deliver on this mandate.Read more