Alephbet / Alephbet/gimel

Looking for contributors

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enhancement help wanted
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Python
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Descripción

# Looking for contributors

I'm looking for open-source contributors to alephbet / gimel. In particular:
## Statistics

If you're good with statistics, understand p-values, [bayesian](https://www.chrisstucchio.com/blog/2014/bayesian_ab_decision_rule.html) vs. frequentist vs [sequential analysis](http://www.evanmiller.org/sequential-ab-testing.html) approaches... I could really use your expertise. Currently the experiment data is raw, which makes it harder to digest. I'm hoping to be able to provide some insight (something similar to [SmartStats](http://cdn2.hubspot.net/hubfs/310840/VWO_SmartStats_technical_whitepaper.pdf) or [Stats Engine](http://pages.optimizely.com/rs/optimizely/images/stats_engine_technical_paper.pdf) perhaps?). Anything that can help people use this tool and reach informed decisions about their experiments.
## Dashboard

Front-end / Design / CSS / HTML / Data Visualization - would love to add a simple dashboard to display the experiment results clearly, and could definitely use help there.
## Other directions

The architecture lends itself to other analytics tasks. There's a [branch that uses Google BigQuery](https://github.com/Alephbet/gimel/tree/bigquery) for example. The platform can therefore evolve to a more general-purpose event tracking and analytics. If you have ideas in this direction, it could be interesting to explore.

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