This repository houses tools for graphing a few simple statistical plots. The idea is to run these as iPython Notebooks in the cloud, so somebody who wants to use the tools does not need to know anything about Python or programming. Perhaps tmpnb.org would make this possible, or perhaps it will require a dedicated server somewhere.
Tools:
[Comparing click-through-rates.ipynb] Suppose you are performing an A/B test on two online ads. One of the ads has a higher click-through-rate (CTR). Is the improvement in CTR significant or just a reflection of insufficient data? This tool lets you find out.