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by peatmoss
3289 days ago
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This is really similar to the Shiny framework (http://shiny.rstudio.com/) for R that is dead simple for creating quick and easy data interactives. Plotly is also an amazing plotting library. If you're using Shiny, you can can create plots in ggplot2, and effortlessly change over to semi-interactive javascript versions with mouseovers and whatnot simply by changing the render type and render output to shiny. No change to your ggplot invocations in most cases. Where Plotly falls down in my opinion, is in how they communicate pricing. I dig through their website and see that many things are open source, but then I see pricing information that makes me wonder whether I should be using Plotly for fear of getting locked into something that has licensing fees. IMHO, this is something that RStudio got right. They have a clear model and communication around what is in their community editions vs. what is in their paid professional versions vs. what you are paying for with their Shiny hosting services. |
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Don't get me wrong, I use R almost everyday in my analysis, but setting up a dashboard that connects to a remote data source is a bit of a hassle and quite tiresome to set an entire R environment.
Ill play around with it, but working with virtualenv + requests + pandas + dash will make it easy to easily prototype some dashboards...