See how creators are answering everyday questions with open data
Here you can find examples of open data in action and gain inspiration for projects of your own.
Welcome to the NYC Open Data Project Gallery!
NYC Open Data powers companies, universities, and nonprofits in New York and around the world. See how it is used by local activists to advocate for change, by entrepreneurs to develop products, and by teachers to teach analytics skills the classroom.
From March 3 - May 1st we ran a contest; you can see the winners called out below. We plan to run additional contests in the future but if you'd like to submit your project to be considered for the website you can do so at any time!
The app leverages the complaints in this data set to understand what life is truly like in New York City, as told, albeit, indirectly from the people themselves. It’s a deep dive into the top most frequent complaints to understand life in NYC.
The “Map Community Resources” tool is the most recent addition to the Keeping Track Online platform—a database housing hundreds of indicators of child well-being in New York City.
How much of a problem is school bullying in NYC? The answer depends on who you ask. We compared local surveys with federal data, and talked with researchers, advocates, and journalists to better understand these disparities.
Citygram is a geographic notification platform that allows residents to designate area(s) of a city they are interested in and subscribe to one or more topics.
BoardStat is an interactive tool for community boards that empowers users; it was designed with community board for community boards, and empowers them to gain timely insights.
The 4 maps you will be seeing in the following slides compare the 2010 and 2012 AP results of 186 schools in New York. With this map, you will be able to see the improvements or the degeneration of each school in a span of 2 years.
Open Sewer Atlas NYC is a unique community planning project with the goal of creating transparency into the confusing world of NYC’s sewer system. The project uses publicly available maps and data to display a more complete picture of how NYC’s sewer system works.
An easy to use portal that lets you visualize and lookup cool tid-bits of data about New York City. From Potholes, to Noise Complaints and Restaurant Inspections.
This project allows people to look at the rates of stop, question, and frisk actions in NYC by race/ethnicity, as well as see the exact location of each stop over the course of 2003 to 2016 in an interactive visualization.
Geopipe automatically reconstructs semantically rich virtual 3D models of the real world for simulations, gaming, and architecture.
JailVizNYC is an interactive dashboard that allows people to easily filter the data, view population trends, and explore the charges holding people in jail. It can help identify where reforms are needed at arrest or arraignment and during case processing or sentencing to reduce the jail population.
Using data provided by NYC Open Data, this visualization shows the variety and quantity of street trees in all five New York City boroughs.
City trees only survive for a small fraction of their natural lifespan in the wild. My app advises on the trees with the best survival record in any NYC address.
PBNYC-curious community members can use their smartphone to find a variety of resources and information about Participatory Budgeting in NYC!
We wanted to explore how we can use data to better understand and define communities of people, going beyond spatial borders.
The audience was students in an urban-planning themed honors seminar (“Seminar 4: Shaping the Future of New York City”). The project assumes students have already built choropleth maps and focused on data wrangling.
Rentlogic uses verified, city-issued data for multifamily buildings to give renters a fair comparison of overall quality as they navigate the rental market.
The goal was to introduce to choropleth maps, so that we could use the tool with more complex data sets. The audience was students in an urban-planning themed honors seminar.
This project looks at hotspots of where people went after the Gay Pride parade in New York City. We use an algorithm called DBSCAN to find clusters of taxi drop-offs from people being picked up around the parade.