Visual Concensus is a data visualization project which looks at the 2000 US Census data. By plotting individual zip codes as colored circles on a map, users are engaged with the information before them and can easily spot patterns. The data focuses on population size, ethnicity, and houeshold income.
The project was coded in C++ and Cinder and is currently available as a stand-alone application for Mac OSX. Users can pan and zoom around on the map to investigate various areas, and can toggle numerous filters to focus on particular regions and demographics.
Video Demonstration
Project Download
This project is available for download at this link.
Project Overview
As part of a series of tutorials on how to learn Cinder and it’s 2d drawing library, Cairo, an image processing application was developed.
Starting with a hyper-real sunset photo by Yury Prokopenko, an algorithm was devised to scan an original image, process it’s pixels, and replace the image with a stylized illustration made up of colored discs.
Outputted Images
One variable in the application is the cell size of the pixel sample area and overlaid discs. Below are two processed final outputted images, one with a cell size of 24 and a second with a cell size of 6.
Project Overview
Is there a way to simply visualize a massive dataset like 80+ years of stock market data? This programming project investigated this question and visualized Dow Jones Industrial Average data for instantaneous, simple analysis.
Link to the LIVE INTERACTIVE PROGRAM.
Concept and Code by Digital Noah. Programmed with Processing.
Video Demonstration
Project Overview
For the last five years, I’ve taught 3d CAD computer classes at Pratt Institute, in Brooklyn. Rather than writing a textbook, I’ve chosen to publish my lesson plans and tutorials as screencasts on the web. Sandbox3 holds this video content and also functions as a community for CAD professionals and students.
Demo Video Content
Technical Details of the Site
The core premise of the site is that each member has different permissions. This is achieved through a login database, storing credentials in the “session” data, and setting permissions for each page of content. The entire site is database driven and was built using the CodeIgniter PHP framework. Adding content is done through intuitive form-based uploading, and all content is served dynamically through the database and using Amazon’s cloud storage. This project is ongoing, with new content added regularly and the community of members growing each day.
