I am Amelia Kohm, Ph.D., the founder of Data Viz for Nonprofits (DVN) in Chicago. DVN helps organizations to effectively and beautifully present their data on websites, reports, slide decks, interactive data dashboards and more. Data visualizations can provide something that photos and case studies—for all of their visceral appeal—cannot. Context. Charts, maps, and graphs give us the critical context that we cannot see in a photo or in a story about one person. They show how prevalent a problem is, where it is occurring, or the impact of a program over time.
Data visualizations, of course, also have a downside. A chart, map, or graph is an abstraction that aggregates the stories of many individuals. And, as Joshua Smith points out: “It’s really hard to tell a powerful story in aggregate when all of the humans and all of their lives and moments and emotions are plotted under a single data point, often represented through a behavioral variable, e.g. “sales”, or “likes”. In aggregate, we lose all the parts and pieces that make characters relatable and memorable.”
So can we have the best of both worlds? Can we put photos and other information about real people into data visualizations? Yes! Consider one of these Hot Tips for Data Visualization:
1) Follow Individuals Through The Data
The idea is to explain an issue, a problem, or a situation through the stories of select individuals. Ludovic Tavernier explains the situation of Somali refugees through the stories of two Somali women. Ayaan and Shamshi, in a series of visualizations entitled Two Years Late. Tavernier labels particular data points to show where Ayaan and Shamshi fit into the larger picture.
Source: Ludovic Tavernier (on Tableau Public)
3) Dot = Person
Another approach is to make each mark (e.g. dot, square, bar) represent an actual person and allow the viewer to scroll over marks to learn more about these individuals. This is Eve Thomas’ strategy in Stop and Search which shows the disproportionate rate at which Black people are stopped and searched in London.
Source: Eve Thomas (on Tableau Public)
3) Show Both The Forest and The Trees
Perhaps the simplest strategy is to include both aggregated data (the forest) and disaggregated data (the trees) in the same visualization. The chart below shows the number of absences for both individual students and the average number of absences across all students.
Source:Data Viz for Nonprofits
What do you think of these strategies? What are your strategies for displaying data about people?
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