Excel is the command line of the data manipulation world.
Except when Excel mangles your genomics. Or dates.
Excel is the worst thing ever happened to data scientists.
If sciencist knew awk/perl + gnuplot and basic C, most of the errors would't happened.
From HN: Scientists rename human genes to stop MS Excel from misreading them as dates
R is pretty good to boot, and has been around since the 1990s too. I would’ve said that Excel is the assembly of data manipulation and dplyr is the command line. The higher level of abstraction and the guardrails help.
Throw away all other software, you don’t need any of that.