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#### Summary | Related Issue(s)
Scaffolding the MA causal project described in [this issue](#71)
#### Changes
Added the `bindings/jupyter-modules/jupyter-ma-causal` experimental module, allow it to be used inside Jupyter as such
![image](https://user-images.githubusercontent.com/7333962/69565131-2b42c400-0f69-11ea-93d0-f4db7035c46b.png)
The line chart draws the two curves representing different uplift effect, with the x axis being the percentile of users ranked according to their likelihood of being influenced by the treatment, and the y axis being the magnitude of the uplift effect scaled between 0 to 1.
The slider will be able to control the percentile of users and the uplift effect corresponding the percentile will be highlighted accordingly.
Summary
Create a visualization prototype sketched in this doc
#88
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