Sometimes we need to fetch certain data from multiple files of a multi-level directory during text processing. The operation is too complicated to be well performed at the command line. Though it can be realized in high-level languages, the code is difficult to write; and the involvement of big files will increase the difficulty. esProc, however, can import big files with cursors and call the script recursively and thus can process the data fetching in batch.[read more]
In last part we mentioned that the Operation Department of the Web Company brought about a new demand: adding new conditions to the way the online time are computed. As IT department was using esProc as the tool for computation, it's easy to handle such changes in requirements.[read more]
The interrow computation is quite common, such as the aggregate, comparison with same period of any previous year, and link relative ratio in business statistics and analytics. Both R language and esProc provide a pretty good interrow computation ability with slight difference to each other.[read more]
Do you find Vector Computing tiresome while using statistical computing tools? Here we go for a Vector Computing Comparison: R Language vs. esProc. To me, one of the most attractive features of R language and esProc is that their codes are both agile, that is, only requiring a few lines of codes to implement plentiful functions.[read more]
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