Data powers society, information that changes situations. How can we use data to help people understand the world they live in? With the use of the publicly available data, this talk aims to see past our external identities of our jobs, physical traits, and even geographical origin. This talk is a story of New York, narrated by data science, written in code, illustrated with art.
The talk is a walkthrough analysis of New York open data, a representation of the way data scientists can be more active in the public sector. Datasets will be pulled from public data portals, illustrating psychologist Abraham Maslow’s hierarchy of needs. The aim will be to establish that the cardinal and common needs among all humans is to have that sense of fulfillment with shelter, safety, belonginess, and prestige. These basic needs transcend every way a person is classified. Driven by data science tools of visualizations and analytics, we begin to realize there is no significant difference in self-actualization regardless of the variation within our external differences.