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SUMMARY:PLUTO and City of Yes: How NYC Planning turns legislation into data
DESCRIPTION:City of Yes for Housing Opportunity is a city-wide zoning text amendment that addresses New York City’s housing crisis by making it possible to build a little more housing in every neighborhood. It was adopted by the City Council in December 2024 and is already being put to use to create homes across all five boroughs. \nHow do legislative changes translate to data changes? How can new and old zoning tools be reflected in land use data? What do people need to know about the City’s tax lots to make informed decisions? \nIn this session\, the Data Engineering team from the NYC Department of City Planning (DCP) will share how the agency added new fields to one of it’s most popular datasets: PLUTO. New fields about Mandatory Inclusionary Housing (MIH) and transit zones will soon be available in PLUTO to give data users a more complete picture of the City’s zoning and land use. \nDCP subject matter experts in zoning\, housing\, and transportation worked with engineers to understand the relevant Zoning Resolution text\, the intentions of City of Yes amendments\, and the data necessary to relate them to every tax lot in the City. Attendees will learn about the processes\, decisions\, and surprises that have been a part of this journey through legislation\, code\, and open data.
URL:https://opendataweek.nyc/event/pluto-and-city-of-yes-how-nyc-planning-turns-legislation-into-data/
LOCATION:https://opendataweek.nyc/event/pluto-and-city-of-yes-how-nyc-planning-turns-legislation-into-data/
CATEGORIES:Presentation
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DTSTART;TZID=America/New_York:20260326T130000
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SUMMARY:Establishing a Central Data Function at a Public Agency
DESCRIPTION:Using data insights to make decisions is what every organization seeks to do\, but there are many reasons why this doesn’t happen in practice: data is hard to find\, it is siloed and inaccessible\, it is undocumented and difficult to understand\, it is too large or complex for the skills and tools available. All these problems existed at Metropolitan Transportation Authority \n(MTA) and were the motivation for the recent establishment of a central data team\, which has the goal of facilitating analytical work for teams all across the company. Standing up such a team is challenging\, especially for public sector agencies with many internal and external stakeholders\, legacy systems and limited resources. In this talk\, Andy Kuziemko\, who leads the Data & Analytics team at the MTA\, will describe the progress to date at the agency\, lessons learned along the way\, and the remaining challenges the agency faces.
URL:https://opendataweek.nyc/event/establishing-a-central-data-function-at-a-public-agency/
LOCATION:https://opendataweek.nyc/event/establishing-a-central-data-function-at-a-public-agency/
CATEGORIES:Presentation
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DTSTART;TZID=America/New_York:20260326T180000
DTEND;TZID=America/New_York:20260326T200000
DTSTAMP:20260515T071955
CREATED:20260317T205702Z
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UID:10001953-1774548000-1774555200@opendataweek.nyc
SUMMARY:PyData NYC: Making Static and Interactive Viz Using Matplotlib
DESCRIPTION:In this workshop with PyData NYC\, we will explore 311 dataset\, starting with exploratory charts (including maps)\, maybe creating a linked animation\, and concluding with a simple interactive visualization. In doing so\, we will unpack some of the fundamental concepts that underlie the architecture of Matplotlib\, hopefully providing attendees with the foundation for creating effective visualizations using Matplotlib. And the vocabulary to make more effective use of AI tools. Matplotlib is a big library\, and it can be difficult to know where to start. \nThis demo-tutorial is a guided tour through many of the essential features and concepts of Matplotlib so you can get started making publication-quality\, animated\, and interactive figures. We will be using the 311 dataset as a case study. \nThis event will be held at the CUNY Graduate Center (365 5th Avenue) in Manhattan. Register here.
URL:https://opendataweek.nyc/event/pydata-nyc-making-static-and-interactive-viz-using-matplotlib/
LOCATION:CUNY Graduate Center\, 365 5th Avenue\, Room C201/202/203\, New York\, NY\, 10016
CATEGORIES:Workshop
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