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Heat Complaints in NYC
Heat Complaints in NYC: Borough Focused Analysis from August ’23 to April ’25 is an interactive project that addresses two critical questions for those NYC residents who experience no-heat situations in their residences. Using elements of Tableau, this project determines 1) how different winter temperature patterns affect the number of complaints and 2) that there were strong policy implementation ideas based on the Tableau data analytics. The key PIT message here is that, with the existing data infrastructure (NYC 311 Service Request Data) and with elementary knowledge of Tableau, we can develop clear policy insights.
With the existing data structure, such as the NYC public data pool, and an elementary understanding of data visualization tools, anyone can develop robust policy suggestions for New York City. With the planned introduction of agentic AI to data visualization tools like Tableau and Spotfire, this will become even easier. Heat Complaints in NYC is one such example of bringing information power to anybody willing to spend a few hours learning a few elements of data visualization tools.
Heat Complaints in NYC is a project by Masaru Kakutani, CUNY Graduate Center, MS in Data Visualization and Analysis.
About Masaru Kakutani:
Since obtaining his MBA in 1981, Masaru Kakutani has worked for over 40 years at large financial institutions as a risk analyst. Having recently retired, he has been studying new skills in data analysis and visualization to pursue new challenges, focusing on different approaches to managing public challenges and complex economic development.
Learn More about Masaru Kakutani’s work: