Data-Driven Personas

from a Demographic Study at A. Philip Randolph Square

A Philip Randolph Square is a park located in Central Harlem South and is in the process of being redesigned. The A Philip Randolph Neighborhood Alliance and the Friends of A Philip Randolph Square are working with the community members and stakeholders to develop plans to revitalize this park into a community space to honor the legacy of this labor unionist and civil rights activist. This project runs a demographic analysis from the survey results to see if and what patterns emerge in the revitalization preferences. By examining this data in different demographic “cross-sections”, the intent is to tell the story of the people that make up the community and their opinions on the revitalization of the park to the community members themselves.

I used Tableau to run preliminary analysis on demographic data of the survey responses and performed a clustering network analysis of attributes to develop 3-4 personas to help tell the story of programming preferences. From there I created groups based on general characteristics of the personas that filters all the overall programming results based on those personas. The final deliverable is an interactive dashboard identifying the personas, and when selected (an image is clicked), it will filter the color ramp graphs to the left to show the selected persona’s preferences. This project was presented at Pratt Institute’s InfoShow23.