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I've noticed the old legacy microsoft query seems a lot faster to query and return data than power query.

Why is r so much faster than excel. R is easier to learn,. Excel, those who lean towards r always overlook a critical piece of the puzzle when listing the drawbacks. After researching the advantages/disadvantages of r vs.

In general, when's it faster to use excel than to use r to do things besides doing multiple linear regression where i'd obviously use r? Volatile formulas are called so because of a reason. This effects many programs that read data, such as r, python,.

R is better for doing complex jobs. Is there a program that can do simple excel functions on huge datasets faster than excel? Functions such as now, today, indirect, rand, offset etc.

Have task manager and blank document excel open and look at what excel does when you open. It was taking a long time on my laptop, originally 15 minutes, so i put together a very past pc, i5 sky lake cpu overclocked to 4.5 ghz, ddr4 ram at 3.5ghz, m.2. I've been working with data sets in excel for years and with the latest versions in particular i've noticed that excel becomes really slow and crashes a lot much more than it used to.

Depending on how your sheets are made core speed can be very important. I was using power query and power pivot for heavy lifting in excel, rebuilding something in r takes me a while, but r executes it much faster than power. R is faster than excel.

The environment is: We used the two packages xlsx and readxl and now it seems, readxl is much faster.

More accurate and automated forecasting processes. Recalculate every time there is. R is much better than excel for forecasting because of r packages like fable and tsibble.

It was really quick for me, about a week. Wide data sets are typically slower to read into memory than long data sets (i.e. What kind of plotting or.

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