As mentioned in my last post for the course, Bill Ferster discusses his ASSERT model in Interactive Visualizations. The ASSERT model consists of six aspects of creating a visualization:
Search for evidence to answer the question
Structure that information to answer the question
Envision ways to answer the question using the data
Represent the data into a compelling visualization
Tell a meaningful story using the evidence to answer the question
Looking at my project for the course, it is still a little bit in flux. I am working on cleaning up the data I currently have and trying to figure out the best way to visualize it, in order to “tell a meaningful story using the evidence to answer the question” (Ferster, Interactive Visualizations). Ultimately, what I would like to do is use my overall data to show a larger narrative of psychological trauma from the nurses’ pension record (and other sources), but also focus in on one of two of the women to tell an individual story using that larger set of data. I think that will convey both the data on a macro level and micro level. In terms of looking at my project through the ASSERT model, this is what I have so far:
Ask: I think based on the data I have collected (discussed below) some of the questions I will be looking at include: what psychological disorders did these women get diagnosed with and, if a second diagnosis is listed, how does it relate to the primary psychological diagnosis? Are there correlations between other aspects of the nurses’ service and their diagnoses, such as length of engagement, branch, and locations during the war?
Search: My project began with collecting data. As stated in my previous blog post for the course, I have compiled a data set from a small set of pension records from UK nurses (trained and volunteer) that served in the First World War. I have collected data from records that have specifically listed the diagnosis related to psychological disorders, and have looked for additional information on the women through other documents.
Structure: I believe I have my data structured to help answer the questions above and any others that may come up. My data is currently in Google Sheets, with a number of columns. I have nurses’ names, their branch, diagnoses, and other information found in other primary sources.
Envision / Represent: As of right now, I am considering using Tableau to help create visualizations from my data. I believe it would be the most visually compelling for the data set.
Tell: Again, I would like to focus on one or two of the women that I have information beyond the pension records, telling their stories, but using the larger set of data I have to put the stories and their psychological disabilities into context.
By next week I plan to have the data as cleaned up as possible, a selection of one or two women to focus on their stories, and to have a solid sense of what visualizations I will be using.