Many thanks go to Betterment, the sponsor of this event, for providing the food, space and drinks, and to Big Data Meetup, the co-host of this event!
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Slides:
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R is quickly becoming a must-have tool in a data worker's tool-belt. You know its potency for statistical analysis and charting, but did you now that it can serve you well in a light-weight dashboarding and reporting function too?
In this hands-on session, Jon and Yuriy showed how R could be integrated into an existing agile development environment to enable a workflow by which any R beginner or expert could produce, deploy, and schedule R driven reports and dashboards. No license fees and no proprietary software: just a tiny bit of DevOps elbow grease to create automation against readily available and familiar open source tools.
The walkthrough dealt with the stack currently humming at Betterment (R Studio, S3, Linux, MySQL, GitHub, Jenkins, Confluence, a shell script, Cron), but it's quite easy to swap in alternative components to fit your own environment. It was the workflow that matters.
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1. RWizFlowy
Combines the nimbleness and expressive power of R with some engineering elbow grease to enable agile and collaborative authoring of Reports and Dashboards in R.
Setup doc for local development:https://docs.google.com/document/d/1AcbX8aH_UnYDHx8wU75xRuteSZdMpJIxLxl2TpH0K-c/edit?usp=sharing
Slides from the presentation: https://docs.google.com/a/betterment.com/presentation/d/1ekIdY-VpPeOWWC7VgD2aBsT9IU34I9K_98eD_zmuFAM/edit#slide=id.g1dd976d0a_059
2. The Workflow
1) Authoring. Data Analyst:
2) Staging. Data Analyst:
3) Deployment. GitHub and Travis-CI:
This project provides scaffolding for
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