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Filtering Data

Along with summarizing and trending, filtering can be an extremely effective analysis technique. For example, looking over a page or two of stock reports in the newspaper can be time-consuming, if not downright frustrating. If you own 20 or 50 stocks, for example, you can’t gather results for just the stocks you own (at least without a highlighter pen or scissors!). As another example of filtering, most e-mail programs allow you to automatically delete or move unwanted email messages that meet specific conditions.

The benefits of summarizing data apply to filtering data as well, but filtering differs from summarization in that filtering displays only individual records or fields that match specific conditions. A summary does not necessarily indicate how many records or fields contributed to the final summarized value.


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