It's easy to imagine how a given dataset can be visualized, but it takes time to implement each possible way. Here's a Google Doc: Dataset vs. Visualization Matrix. This crosses datasets with visualization techniques. For each cell, if there is an X with a link, then it links to a block on bl.ocks.org that implements that visualization of that dataset. If there is an X that is not a link, then it should be possible to visualize the dataset with that visualization technique, but it just hasn't been done yet.
The proposed session is that we break into teams of two or three and collectively fill in all Xs with links to fresh blocks that we develop on the spot. The end product will be a nice collection of many different visualizations for each dataset listed. During the session, to claim that you are working on a given cell of the table, put your github user name there. This will ensure that there is no duplicated work, and that as many cells of the table get filled in as possible.
It's easy to imagine how a given dataset can be visualized, but it takes time to implement each possible way. Here's a Google Doc: Dataset vs. Visualization Matrix. This crosses datasets with visualization techniques. For each cell, if there is an X with a link, then it links to a block on bl.ocks.org that implements that visualization of that dataset. If there is an X that is not a link, then it should be possible to visualize the dataset with that visualization technique, but it just hasn't been done yet.
The proposed session is that we break into teams of two or three and collectively fill in all Xs with links to fresh blocks that we develop on the spot. The end product will be a nice collection of many different visualizations for each dataset listed. During the session, to claim that you are working on a given cell of the table, put your github user name there. This will ensure that there is no duplicated work, and that as many cells of the table get filled in as possible.