CAnD3 Data Viz
Aug 30, 2025
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1 min read
At the beginning of my CAnD3 journey, Tuğce Kırmacı Kamber and I worked on one of our first projects, leveraging skills we learned at the CAnD3 PopAging Data Viz workshops in August 2025 to investigate how patterns of self-reported poor mental health days changed among Americans between 2002 and 2022, across gender and age groups. We further explore whether defining national events (the 2008 financial crisis, the 2016 Elections as a point of heightened political polarization, and the COVID-19 pandemic) correspond with shifts in mental health patterns. The resulting data viz presentation and summary report are available to view here.
Authors
Leah Houseman, MA
(she/her)
PhD Student & Programs Officer
I specialize in disability studies, adulthood emergence, and applied data analytics, combining sociological theory with advanced quantitative methods to address health and social inequities. My work bridges research and practice using R and Python for data wrangling, visualization, and reproducible workflows. I am passionate about translating complex demographic and health data into actionable insights for policy and practice. My goal is to leverage these skills to contribute to evidence-based policy and innovative solutions that address health and social inequities, particularly for populations navigating disability and transitions to adulthood.