A few weeks ago we got to participate in a small hackathon hosted by the New York Public Library’s Labs team. It was a really nice event, built around data, maps, and conversations. It gave participants the opportunity to interact with some really fantastic mapper-historian-developer types. It also gave us a first-hand look at some of the Library’s APIs and datasets. In fact, the NYPL just released a lot of that data through the new Digital Collections page. We think it is awesome and can’t wait to see some of the things people build and create from it.
During our day at the hackathon we explored a lot of data and built a few really interesting maps. These were the types of maps that are very often used to publish and share data on the web, but we also used them exploratory tools to learn from the data. CartoDB serves as an amazing platform to quickly drill into dataset and try to extract the interesting stories. We found that a fun goal of the hackathon was to try and find a story!
We have rarely seen the process of taking a dataset and finding the stories it holds described. The process is a fun at times and very challenging most of the time. So instead of telling a single story about a single map, we thought it would be interesting to share the process itself as the story. We hope you find this interesting and motivating. Enjoy
Data is an essential ingredient for spatial analysis—which is predicated on access to your own data, plus useful third-party data. In the end, spatial analysis is about put...News
Today, perhaps more than ever before, people are on the move. Transitioning between roles as consumers, parents, employees, tourists, and more means making a lot of stops i...Spatial Data
The 3rd annual Spatial Data Science Conference is just three weeks away and we couldn’t be more excited. Being held at Columbia University, this year’s iteration of the for...News
Please fill out the below form and we'll be in touch real soon.