In my previous post More on Rebalancing | With Data from Research Affiliates , I did some really basic visualizations, but I thought this data would be great for some more powerful interactive discovery using an interesting javascript SQL-like query language objeq along with the d3.js charting library dimple.js. Next, I hope to extend to use lodash or lazy.js.
This exercise helps me think through a couple of lingering issues:
- After we create the plot, do we need to maintain the overhead of a connection with R using something like shiny, or can we port some of the aggregation, filtering, and calculations to javascript as we did in this example?
- How can we use the rCharts templates with other languages such as Python, Ruby, and Javascript?
- What can we do with some more specific and customized page templates for rCharts?
- Is a Lyra-like interface better or will this type interface work for more advanced users?
Help me with your thoughts after you have played with the example shown by the screenshot below.
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