3 posts found under,

data visualization

Twitter is an excellent way to gain insight into a wide variety of social phenomena. Data can be sliced in many different ways, looking at user, geography or topic/hashtag as well as diving down to the level of individual tweets. In fact, MapD originated when Todd Mostak needed to build a better interactive analysis tool to understand the Arab Spring. Streaming data from Twitter was added later. MapD recently released an open source Tweetmap Demo online showing roughly 390 m... read more

First, clone the repo to your local workstation and refer to platform-specific tips. https://github.com/mapd/mapd-charting Mac OS X Overview Easy install. No problems. Very few external dependencies. npm install #downloads all dependencies and devDependencies npm install mapbox-gl@https://github.com/mapd/mapbox-gl-js/tarball/9c04de6949fe498c8c79f5c0627dfd6d6321f307 #downloads mapbox peer dependency npm run start Community tested configurations Node v6.11 Mac OS X 10.12.5 Xcod... read more

It's nearing the end of my summer as an intern at MapD, and looking back, I've learned quite a few essential engineering skills and completed some impactful work. At the top of my list of projects is a redesign of the Tweetmap Demo. Tweetmap is a living visualization of Twitter data built on top of MapD database technology. There are a lot of gems hidden in this dataset, including the path of the 2017 solar eclipse. The new Tweetmap is open source and serves as a guide for bu... read more