Last summer, I started a project on visualizing topic clusters from TED Talks 2013 - that can be seen in some of previous posts. I felt that the tool I had used to display my topic clusters was, well, a little clunky. I can't really complain because Datacratic open sourced it and they inspired me to make ....
which is an acronym of this posts title (& for my linguist friends, its dreɪ'ɾə ).
If you check it out, you'll see there are a few examples of data to choose from - the first one is just the data from my previous posts on TED Talks and really the impetus for the project - just looking at data from different angles.
If you decided to look at the tutorial, you'll see the structure needed to upload your own file for visualization:
The project as a whole was really a chance for me to check out three.js and the possibility of doing more data visualization in the browser. I've used d3 before but was curious how three.js would hold up - its definitely a lot of work, but I enjoy the product. It was also a fun experience getting to know semantic-ui a little better through this project. Also, learning how to fully crash browsers before I found out what billboarding was - thanks to Winnie Wang <3.
For me, the end goal was met - having a place to immediately visualize dimensionality reduced datasets from an iPython notebook in a fun, interactive modality.
Of course you'll find some bugs in it - but I open sourced it so complaints = pull requests, right? Haha, but seriously, check out the source here if you're interested.