PUBLIC MARKS with search patterns

This site lets you explore traffic patterns of MBTA commuters across the various lines and stations over a single day. The data for this visualization was released as part of the Visualization Challenge by the Executive Office of Transportation.

What is "parsing"? Parsing is processing a series of symbols to extract their meaning. Typically, this means reading the words of a sentence and drawing information from them. When application programs need to process data that is provided as text, they must use some form of parsing logic. This logic scans the text characters and character groups (words) and recognizes patterns of groups to extract the underlying commands or information.

tldr is an application for navigating through large-scale online discussions. The application visualizes structures and patterns within ongoing conversations to let the user browse to content of most interest. In addition to visual overviews, it also incorporates features such as thread summarization, non-linear navigation, multi-dimensional filtering, and various other features that improve the experience of participating in large-discussions.

The patterns and examples on this site help you create websites the color blind can use without problems.

About 8% of the male population has some sort of color blindness. The color blind have the inability to clearly distinguish different colors of the spectrum, they tend to see colors in a limited range of hues. Because of this, the color blind have trouble with a lot of websites.

About 8% of the male population has some sort of color blindness. The color blind have the inability to clearly distinguish different colors of the spectrum, they tend to see colors in a limited range of hues. Because of this, the color blind have trouble with a lot of websites.

Summarize a set of RESTful design practices that I have used quite successfully.

One of the 8 works I created for the Data Art Show at the Pink Hobo Gallery in Minneapolis.

All these pieces are a pun on the new craze for data visualization. The goals of data visualization as I understand them are to make complicated issues more understandable, to make obscured connections visible and to reveal hidden patterns in the data. After all these tasks have been solved ideally the result should be aesthetically pleasing as well.

But when I look around what is being done in data visualization today I have the suspicion that in many cases the design is more important than the actual information and that the use of data is more an excuse to justify the use of aesthetics.

Since I do not have a problem with aesthetics for their own sake in these pieces I deliberately took the opposite direction. Since I wanted to create something visually interesting I made up my own data which would give me the desired results. All these works are the result of generative algorithms, so all the elements and their connections are actually data and not something I assembled manually in Illustrator.