Blog

Since the advent of Gutenberg’s press, typesetting has relegated text to the margins of visualization—legends, axes, captions and footnotes. But modern web-based platforms can infuse rich textual information into interactive graphs and charts.

What if you could move freely through Manhattan and watch every licensed taxi pick up and drop off every one of its passengers at the same time? What movement patterns would you see? That’s what we aimed to find out by extending our Salt library to plot high-density New York City traffic data in three dimensions.

While sentiment analysis on Twitter data has become commonplace, Uncharted’s Richard Brath got us thinking about going deeper and looking at the emotional content.

We’ve been looking at characteristics of break-out tweets and memes. All memes are NOT the same. One interesting approach is to use our Salt library to plot time (horizontally) and number of retweets (vertically).

Last summer we began tracking tweets that mention Donald Trump in preparation for our talk at Strata NY. We’ve continued monitoring the topic and, as of March 3rd 2016, we’ve processed over 91 million tweets.