Study Recommends Gnumeric Over MS Excel

Jody Goldberg writes "A recent study of analytic quality, and responsiveness to problems strongly preferred Gnumeric in place of MS Excel. With new problems popping up in Office XP the case for spreadsheet users to migrate is only getting stronger. In some related Gnumeric quickies, a new stable version 1.2.6 was released, and Open has done an interview with the Maintainer."

Comments

Gnumeric's RND was *too* random

[wowbagger]

I love that one of the "failings" of Gnumeric was that the random number generator function RND was *too* random - Gnumeric uses the /dev/urandom device that generates random numbers from noise sources in the system (noise diodes, interrupt events, user input, etc.) rather than using a psuedo-random number generator with a predictable sequence.

True, there are times it is nice to have a "random" number generator that you can re-run for testing, but having a really random number generator is better for a host of problems.

I use excel all day

[HMA2000]

I use excel at work all day and I have to say that no Open source solution comes close to providing what I expect a spreadsheet to do.

The idea that one should switch from excel to an open source solution because of a small set of statistics problems cannot be properly solved by excel seems a bit like throwing the baby out with the bath water. (unless you do nothing but statistical modelling all day)

Re:I use excel all day

[kannibal_klown]

"If you are using VBA in your spread sheet you need to move to a better solution - a dbms and a decent programming language. You are doing the equivilant of using a table knife for a screwdriver."

However, you're suggesting we use a bulldozer when a shovel will work just fine.

I work for a Pharmaceutical company as a software developer. Our scientists use Excel spreadsheets as reports; they enter in some raw data (or it's streamed in from an external program) and a combination of VBA and Excel formulas do the rest. These spreadhseets summarize data, predict flows, highlite trouble data, etc.

THEN, in some cases (at least those that are needed), we have the ability to export the data stored in the Excel spreadsheets into Oracle tables.

The spreadsheet acts as an intermediary for the scientists. It gives them something visual. They can modify things themselves, look at graphs for select data, etc. In some cases, they've even written their own VBA code to perform certain tasks. It's a horrible language, but simple enough for someone to pick up.

Try writing software to allow them to do all of this, and to work with about 150 different macros that were written in the past. A biologist is not going to try to learn C++ or Java, because it's too time consuming and overkill for what they need. And any application, as simple as you make it, will not be as customizable and visual as Excel. You'd be robbing them of that important aspect.

Sure, VBA is a pain in the ass; I wish it would go away forever. But it's made its niche; it allows the non-computer-savvy to do complex things. Anything better would be overkill and would reduce functionality.