Dude, computational load is my nemesis. I was working with a huge panel dataset last month, and my laptop almost gave up on life.
Switched to `data.table` in R instead of `dplyr`, and it was like night and day—way faster. Also, if you’re using Stata, `xtset` is your best friend for panel data ops.
For missing data, have you tried interpolation? It’s not always appropriate, but for small gaps, it can save your sanity.
Switched to `data.table` in R instead of `dplyr`, and it was like night and day—way faster. Also, if you’re using Stata, `xtset` is your best friend for panel data ops.
For missing data, have you tried interpolation? It’s not always appropriate, but for small gaps, it can save your sanity.