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Second, I could stop the complicated sheet from recalculating everything every time the workbook recalculated, but I like having everything in one place.To start with, just to test the theory that this was indeed what was slowing down the analysis I did the neat trick of replacing all the “=” signs with “$$$” on the analysis worksheet.This ten-fold increase in running time got to be very frustrating.And as the well as the code slowing down, I’m now working with around four times as many cases for each report.I’ve written about this before, and wrote some Python code to interact with their API.
Fredric wrote about a problem he was having with a macro.
When he is running the macro in the VB Editor using F8 (stepping through the macro), it completes in just a few minutes.
When he runs the macro outright, it seems to take forever to run, often taking 20 minutes or more to execute.
I’m really glad I found this out and hope it helps someone else out there wrestling with a slow monster of a spreadsheet.
Wi GLE is a popular platform which can be used for finding the location of a device using the names of Wi Fi networks in its vicinity.
Then from all of the possible options, further analysis hunts out the Pareto optimal options and presents them on a graph like this one, which as I’ve said before is a great way of visualising the best set of options when you’re trying to maximise carbon saving and minimise cost of the lifecycle of your building. When I started using the model it took around 0.1 seconds to set up a new case, read out the results (NPV, life cycle carbon footprint, payback time, etc) and write a new results row.