Hi, I’m in a molecular biology lab, and I am creating a web app that allows users to search for a certain biological nano-molecule, which will return a plotly generated line graph of the performance of the nano-molecule in various conditions. There are only a few hundred of these graphs, and I am currently working with the data in R/ggplot2.
My first thought was to simply export these R graphs to Plotly using the given libraries, and then embed the iframes in my web-app and then use Jquery to make the queried iframe visible upon search, but I thought that would be terrible performance/maintenance wise.
I then thought to just use a database (key-pair or document-based like mongodb) to store the urls of the iframes of the R-converted plotly graphs, and then use the database api and ajax to show the requested iframe on search.
Another way is how I think most other people do it (although I may be mistaken): storing my biological data into a database like mongodb and then upon search, the web-app would request the data and then use plotly.js library to visualize on-demand.
I believe that Method 2 would be easier than Method 3 to code because I don’t have to worry about how to format/input the data for plotly.js generation, but maybe it’s only marginally so? Or perhaps method 2 is inefficient? I don’t know much about web development so I’m unsure of the best way to do this (in terms of ease of coding, maintenance performance, etc).
If you have any input, I would really appreciate it. Thanks!