How to Use R for Connecting Neo4j and Tableau (A Recommendation Use Case) by Roberto Rösler.
From the post:
Year is just a little bit more than two months old and we got the good news from Tableau – beta testing for version 9.0 started. But it looks like that one of my most favored features didn’t manage to be part of the first release – the Tableau Web Data Connector (it’s mentioned in Christian Chabot keynote at 01:18:00 you can find here). The connector can be used to access REST APIs from within Tableau.
Instead of waiting for the unknown release containing the Web Data Connector, I will show in this post how you can still use the current version of Tableau together with R to build your own “Web Data Connector”. Specifically, this means we connect to an instance of the graph database Neo4j using Neo4js REST API. However, that is not the only good news: our approach that will create a life connection to the “REST API data source” goes beyond any attempt that utilizes Tableaus Data Extract API, static tde files that could be loaded in Tableau.…
In case you aren’t familiar with Tableau, it is business analytics/visualization software that has both commercial and public versions.
Roberto moves data crunching off of Tableau (into Neo4j) and builds a dashboard (playing to Tableau’s strengths) for display of the results.
If you don’t have the time to follow R-Bloggers, you should make the time to follow Roberto’s blog, Data * Science + R. His posts explore interesting issues at length, with data and code.
I first saw this in a tweet by DataSciGeek.