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It's hard to say which software is best. Because of that users' requirements are different. And each software has its advantages and disadvantages. For instance, Excel is a very widely used tool but not great enough to deal with complex computing. R is a good opensource, it has the elegant and agile mechanics of syntax and the open interface for secondary development. But it lacks of friendly UI and requires strong technical background to use it well. Just list a few.

For new statistical software, I should say esProc and esCalc. These two software is script for statistical computing and analytics. It's very easy to use and can do complex computing with step by step mode. Its syntax is agile and has cell-style interface.

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