For information, I was given a large spreadsheet (not as big as the one 
mentioned, as it
had only about a dozen columns but around a million rows). It took several 
minutes to load
into Gnumeric or OOcalc. From CSV form R loaded it in 11 seconds. Then a quick 
"summary"
almost immediately revealed a very suspicious cell with a "payment" of $ -2 
billion. (This
was a government accounts item.) As the colleague who asked for help said 
"Tomorrow is
going to be a very interesting day at the office.",  I'm afraid I was not privy 
to the
consequences. Probably a fumble fingers by a data entry person, but in the 
meantime a lot
of corrupted reports.

The message is that spreadsheets are quite good for data entry and edit, but for
processing, something like R (which has good read and write csv capabilities) 
will be faster.

JN
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