Over the last few years, we have seen an increased call for data collection and disaggregation related to diversity, equity, and inclusion metrics. Data matters, and having access to a more complete view allows organizations to identify gaps, get clear on goals, and advance more meaningful outcomes. Yet, how we present the data also matters as we consider the conclusions that may be drawn from our presentation modes.
Daily we come across graphs, infographics, and other visual representations highlighting key information about the studied communities. We are all busy, and visualizations can quickly help us feel like we understand the concepts without digging deeper. Which leads me to wonder, what priority are we giving to understanding how the data may be interpreted based on narratives we carry about the communities under the microscope?
In Unfair Comparisons: How Visualizing Social Inequality Can Make It Worse, Eli Holder shares insights on how we might unintentionally be increasing viewers stereotyping of people and driving deficit thinking through the findings we are visualizing.
What steps is your organization taking to present data in an inclusive and culturally relevant manner?