Data Viz | 2017

Supporting Aging in Place Programs

How can we investigate the efficacy of state investments in home & community-based programs on the elderly?

Studio Datavis Assignment: Week 1

For my Design Engineering studio's Data Visualization unit, we were tasked with visualizing a set of aging/healthcare data across three scales. I chose to visualize the impacts of aging alone across individual, community, and national scales. My process began in Sketch, pulling in precedents and creating my aesthetic concepts. Working in Sketch instead of Adobe Illustrator has become surprisingly natural and versatile.

Studio Datavis: Week 1

Without having pulled any actual data, I explored what types of visualizations could be helpful. In hindsight, this process was completely flawed -- I will never attempt to structure the visuals of a visualization without having 95% cleaned data again.

Studio Datavis: Week 2

Jumping from visuals to D3, we were tasked with translating our data into an implementable coded visualization. Sticking with the good ole chloropleth, I overlaid 2 data sets on nursing home expenditures and funding for the Older Americans Act, a program that supports home meal delivery and facilitates aging in place.

Studio Datavis: Week 3

To further increase the sophistication and "density of data" for iterating, I tried to overlay the chloropleth data against both state level funding data and resulting nutrition levels.

Studio Datavis: Week 4 (Final Product)

The final version of my initial investigation into the impact of loneliness among aging Americans evolved to overlay two data sets to answer the question of how funding for home-based care impacted the overall healthcare spending on nursing homes. I wanted to investigate whether increasing support for Aging in Place, home and community based services (HCBS) could reduce overall aging expenditures, and how different states handled the process.