Note the multiple tabs
The source data is here: http://entaroadun.github.com/dns_raphael_vis/impact.js
Here is my shitty python script to convert that json to csv for g.docs https://www.dropbox.com/s/tq821nglmijt11n
I'm experimenting and leaning new ways to visualize the data. I think there are better ways of doing it than a bar graphs or line plots. Well, it seems it did not work that well. GitHub uses similar visualization technique, though. Maybe next time I get it right. Here is my inspiration:
http://raphaeljs.com/github/impact.html
EDIT: Initially I wanted to do Sankey diagram but that came out way too complicated and there wasn't a good way to show new and deleted domains.
Two specific problems with your visualization are the margin between the veins and the fact that you scroll horizontally.
This data is very much like tracking the active users on a service, with new, churned, retained, and resurrected users. I'm very familiar with that topic and think your visualization is bad for this data.
For instance, look at Dec 23 and Dec 24: the top orange section drops from 31k to 29k, but the visualization shows a thicker orange height on the 24th than the 23rd. In fact, the entire graph is significantly higher on the 24th, but it is not clear what this means either.
Before every variable was normalized according to its own min/max, now there is a global min/max. Thank you all for the suggestions.
On an unrelated note: if you view multiple tabs, the back button in your browser will take you back through every tab you viewed. This is super annoying.