This isn't a typical how do I question, but I would like to pose this to the experts here:
Are there any known public implementations of the CRAN library in use with classic ASP?
The reason I am asking(sorry this is going to be lengthy) is that I work on a corp intranet system that is written in 85% classic ASP.
I have recently been tasked with(and completed) development of an AJAX UI that will query multiple database backends(Oracle , MSSQL, Informix).
Essentially, using AJAX, JS/DHTML I have created a way for end users to build, create and save ad-hoc reports(Busines s Objects style) in a single interface. I have also integrated the Raphael JS framework and created modules that allow for dynamic generation of data visualization(g raphs, charts).
In addition, <div> report output layers are stacked 5 levels deep(these are referred to as Data Panes, each has 3 levels: Summary, Detail, Visualization). Using a global js variable, I control the xml response output to ensure that the correct data set ends up in the correct data pane. This allows a user to load up to 5 different reports in the same browser window and switch views quickly via on-click events.
I am wanting to step it up a notch and do some really powerful data analytics. I could use large disconnected recordsets, however I have to mindful of the resource drain on the web server.
From what I have read, R is geared directly towards statistical evaluation and I wondering if it would be possible to pull back query results and feed them to R and allow R to do the heavy analytical lifting. Then just use AJAX to feed to the UI.
I know this is a bunch to take in and I have spared much detail. However, thank you for taking the time to review this request.
Cheers,
Jenkins
Are there any known public implementations of the CRAN library in use with classic ASP?
The reason I am asking(sorry this is going to be lengthy) is that I work on a corp intranet system that is written in 85% classic ASP.
I have recently been tasked with(and completed) development of an AJAX UI that will query multiple database backends(Oracle , MSSQL, Informix).
Essentially, using AJAX, JS/DHTML I have created a way for end users to build, create and save ad-hoc reports(Busines s Objects style) in a single interface. I have also integrated the Raphael JS framework and created modules that allow for dynamic generation of data visualization(g raphs, charts).
In addition, <div> report output layers are stacked 5 levels deep(these are referred to as Data Panes, each has 3 levels: Summary, Detail, Visualization). Using a global js variable, I control the xml response output to ensure that the correct data set ends up in the correct data pane. This allows a user to load up to 5 different reports in the same browser window and switch views quickly via on-click events.
I am wanting to step it up a notch and do some really powerful data analytics. I could use large disconnected recordsets, however I have to mindful of the resource drain on the web server.
From what I have read, R is geared directly towards statistical evaluation and I wondering if it would be possible to pull back query results and feed them to R and allow R to do the heavy analytical lifting. Then just use AJAX to feed to the UI.
I know this is a bunch to take in and I have spared much detail. However, thank you for taking the time to review this request.
Cheers,
Jenkins