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mysqldatabaseexcelvbapowerpoint

solution to perform lots of calculations on 3 million data points and make charts

i have an excel spreadsheet that is about 300,000 rows and about 100 columns

i need to perform various functions on this spreadsheet and out of this spreadsheet i need to create about 3000 other spreadsheets which are SIGNIFICANTLY smaller

for every created spreadsheet i will need to have a separate powerpoint file that will have an automatically generated graph

i've done lots of VBA programming, but i am a little lost with this project

  1. if i dump the data into a mysql file would it be easier for me to handle my task?
  2. is it feasible to do this all in VBA excel?
  3. is it possible to easily add graphs from excel into powerpoint programmatically? or perhaps should i use a different solution for graphs?
Solution

    1. It depends strongly on how you plan to process the data. If you plan to write code in Excel, it makes much more sense to leave it in Excel. Having said that, I would dump the data to CSV (comma-delimited) for further processing with a different tool, like Python.

    2. Everything is always feasible given enough time and money. If you're like most other programmers, you don't have too much of either, so you want the most efficient solution, or close to it. If it were me, I would write code in Python to read the data from a CSV file, perform all required operations, and save the 3000 separate output sets as individual CSV files which can be imported back into Excel.

    3. Charts can be tricky to create and manipulate from VBA. I would use a Python library like Matplotlib to produce all graphical output, which would be saved to disk as PNG images, which can be inserted into the Powerpoint presentation(s).

    Python is mentioned here only as an example. You should use a tool that you feel most familiar with; however, the concepts of processing the data programmatically (not via interconnected cell references and formulas with a little VBA thrown in to copy sheets and so on) should still apply, and will be your best way forward here. I have done a ton of the kind of work you describe. Get the data into CSV and process the data with code.