Chapter 38. Filtering Data

Joolas is a small makeup company. In an Excel spreadsheet, they track each sales transaction. They often want to extract, or "filter out," a subset of their sales data. For example, they often want to identify sales transactions that satisfy the following conditions:

  • All transactions in which Jen sold lip gloss.

  • The ten largest transactions (by revenue).

  • The bottom 5 percent of transactions (by revenue) in which Colleen was the salesperson.

  • All 2005 lipstick transactions in which Ashley was the salesperson.

  • All foundation transactions in the first six months of 2005 in which Emilee or Jen was the salesperson and the average per unit price was more than $3.20.

Excel’s filtering capabilities make identifying the subset of ...

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