Debra Dalgleish

Excel 2007 PivotTables Recipes (eBook, PDF)

A Problem-Solution Approach

• Format: PDF

Produktbeschreibung

Excel's PivotTables and PivotCharts features have long been admired by the historically small community that made use of them, but Microsoft has made great efforts in the 2007 release of Office to expose them and make them more evident to users. In this book, Debra Dalgleish, Microsoft Office Excel MVP since 2001 as well as an expert and trainer in Excel, presents tips and techniques that can't be found in Excel's Help section. She carefully explains the most confusing features of PivotTables so that they can be used to their full potential. PivotTables Recipes will enable users to take real-world scenarios from the author, customize the PivotTables and supporting code around them, and use them directly in their work. It is a must-have resource for anyone who frequently uses Excel.

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Produktdetails

• Verlag: Apress
• Seitenzahl: 272
• Erscheinungstermin: 11. März 2008
• Englisch
• ISBN-13: 9781430205043
• Artikelnr.: 37344885

Autorenporträt

Debra Dalgleish is a computer consultant in Mississauga, Ontario, Canada, serving local and international clients. Self-employed since 1985, she has extensive experience in designing complex Excel and Access applications, as well as sophisticated Word forms and documents. She has led hundreds of Microsoft Office corporate training sessions, from beginner to advanced level. In recognition of her contributions to the Excel newsgroups, she has received the Microsoft Office Excel "Most Valuable Professional" award each year since 2001. You can find a wide variety of Excel tips and tutorials, and sample files, on her Contextures website: Contextures.com/tiptech.html.

Inhaltsangabe

Creating a Pivot Table.- Sorting and Filtering Pivot Table Data.- Calculations in a Pivot Table.- Formatting a Pivot Table.- Grouping and Totaling Pivot Table Data.- Modifying a Pivot Table.- Updating a Pivot Table.- Pivot Table Security, Limits, and Performance.- Printing and Extracting Pivot Table Data.- Pivot Charts.- Programming a Pivot Table.