data visualization
http://laurengibbons.com/portal
NYC Neighborhoods
This project began as an information graphic in poster format to display the US Census data from the 2006-2008 American Consumer Survey 3-Year Estimates. From there, additional data was added to best portray the dynamics of NYC Neighborhoods, including the NYC Feedback Citywide Customer Survey, to display neighboorhood ratings and data from the Metropolitan Transit Authority (MTA) to indicate the subway lines available in the region. Then to better serve as a piece to serve the Parsons community to help new students identify potential neighborhoods, Google Maps data was then added to show the approximate proximity of each neighborhood from Parsons. Download Paper
http://laurengibbons.com/mashup
Moods Mashup
Moods Mashup takes an emotional pulse of YouTube videos and Flickr images by querying API data and filtering results based on tags to fit a curated array of moods. Users can filter how many videos or images that pertain to certain emotions that have been uploaded by date, either on that day or that recent week. Then, with a simple click, the user can flip through the videos and images with a lightbox feature directly built into the data visualization. This visualization was built as a collaboration process with Ryan Oh for the Data Visualization class at Parsons in Spring 2011 using Jquery, JSON, PHP, HTML & CSS.
International Focus
Whenever I visit the nytimes.com, I noticed that the front page news is often geared toward international issues, instead of national or even local New York articles. I wanted to poll exactly how many articles the New York Times indeed publishes from the USA section v. the World section. The visualization queries the NYTimes Newsire API to display how many articles are published over the last 2, 24, 48, 72 hours, 7, 10 day and 2 week period. Coded in openFrameworks in Spring 2011.