Each year, 80,000 NYC 8th grade students apply to high school choosing from more than 700 options. Yesterday, the NYC Department of Education’s Innovation team (iZone) held the School Choice Design Challenge Demo Night featuring new apps aimed at helping families navigate the admissions process.
For the challenge, Pediacities, former NYC BigApps winners and data platform providers, created a set of public APIs (data integration tools), so developers could easily integrate NYC high school data into their applications. Six apps are now live helping students discover the best school based on criteria like location, extracurricular activities, or entrance requirements.
- Learn more about iZone and the School Choice Design Challenge (SCDC)
- Check out the apps: FindtheBest, InsideSchools, Noodle, Unigo, Admitted.ly and Vital.AI
- Access NYC high school data via Pediacities
Image: FindTheBest - the SCDC winning app selected by a panel of 9th grade students as part of the School Choice Design Challenge.
Open data is letting the genie out of the bottle – we are not the owners, but the custodians of the data and we can do so much more good when we let the solution makers use it.
New York City is gathering data, processing data, and distributing data like never before. Listen to the BBC’s story on the City’s data efforts.
An Interactive Guide to NYC OpenData
This interactive graphic shows the range and quantity of data available on the NYC OpenData portal.
Filter by category - business, city government, education, environment, health, housing & development, social services and more - to explore the City’s trove of unique open datasets and user-created views.
Visualizing NYC’s 1,100+ Datasets
Chris Whong recently visualized New York City’s 1,100+ open datasets, bundling them by category — business, education, social services, transportation, recreation, etc. By clicking on one of the dots you are taken to the specific dataset on NYC OpenData.
According to a post on the Code for America Brigade Tumblr, ”this is a force-directed graph generated with the charting library d3.js. NYC’s open data portal runs on the Socrata platform and this visualization was created using the “dataset of datasets" and the Socrata Open Data API (SODA).”
Check out the data visualization of NYC OpenData here
An excellent refresher on dataviz:
"Humans have a powerful capacity to process visual information, skills that date far back in our evolutionary lineage. And since the advent of science, we have employed intricate visual strategies to communicate data, often utilizing design principles that draw on these basic cognitive skills. In a modern world where we have far more data than we can process, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating data into the media experience. Data has emerged as such a critical part of modern life that it has entered into the realm of art, where data-driven visual experiences challenge viewers to find personal meaning from a sea of information, a task that is increasingly present in every aspect of our information-infused lives."
NYC Historic Neighborhoods Data Mashup
Do you like exploring New York City and discovering its history? Check out nychistoricdistricts.com for a map of New York City’s historic neighborhoods and take a virtual tour of places like Brooklyn Heights, Governor’s Island and DUMBO with information on the neighborhood’s history and photos of historic buildings nearby.
What do 1,551,402 service requests look like? Check out a visualization of NYC 311 requests (received via phone, text, online) in 2012.
The NYC 311 dataset is available at NYC Open Data - www.nyc.gov/data
Check out this video of a visualization of NYC’s transit system which was compiled through General Transit Feed Specification data and illustrates a day — from 4 A.M. to 4 A.M. — of transit operations.
The NYC Parks Department brought full dumps of their databases and a handful of questions. Volunteers brought their modeling, data munging, visualizing, and overall hacking skills.
Our project was provide a good understanding of what the tree diversity is like across the city, and how it is changing over time. The results are above. An interactive map where you can find all of the tree types in the city, the diversity of each census block (“diversity” being the number of unique species seen), some information about each tree type, and more. It was in a near-complete state in just one full day of work from Christopher Reed, Andrew Hill, Brian Abelson, Bennett Andrews, and myself. Chris did all of the front end work and has been updating the project relentlessly, making it better pretty much every day. Andrew set up the cartography database (CartoDB) which exposes an amazing API for querying the data. Bennett pulled in all of the tree information from Encyclopedia of Live. And Brian and I took the raw data provided by the parks department and transformed it into a workable shape.