

Yes,
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Then you have 4 main plus these 5-6 extra. Just put your boot drive on a data drive instead of m.2 or get an adaptor and you are good to go. 8 data drives plus a boot drive
Ugh I hate excel. It can’t do the most basic things like search and replace things reliably in all cases. I have moved literally all data analysis besides the absolute basic “count” and “sum” operations to python in spyder. 200x faster, repeatable, won’t freeze up with large datssetd, and has never once failed a basic operation like a search and replace. Not to mention the localization issues and the fact that it will fuck things up completely if you install a new printer because Microsoft decided the printer has priority of your document and spreadsheet layouts over choosing a default.
I had some evaluation board software that whenever the value dipped below -1, would place the comma completely randomly in the floating point number.
Excel almost had a heart attack when I asked it to search and replace ”-1” with “-1,” and it found all of the cases just fine, but decides to ignore the replace and not place a comma at all. If I tried to convert them to a number, it freaked out and placed the decimal place also randomly, different than the input. And of course trying to do in-place operations on a column for export is just painful.
Hell, in notepad++ I could just regex the digit range that was preceded by a ”-1” and get everything replaced using a few brackets.
Not to mention how terrible the graphs work in comparison and how bad they look with the default options 😅. But hey, you can automatically put in a drop shadow or frame it in a useless way.
There are some people who can work very efficiently and do some crazy things in excel (like the excel doom) but unless you have literally been using it daily for many years and actively looking for ways to speed up, then it is just as easy or easier to do things in an actual data processing program like matlab, octave, python, or R (And I am not a coder) and you can literally copy paste a file name for the next full dataset.