Written for students, professionals, and social scientists with little or no knowledge of data visualization principles, this complete guide presents step-by-step instructions for clearly and effectively presenting data using MS Office programs. Throughout the book, the focus is on turning raw, quantitative data into attractive, well-designed charts and tables that tell an accurate narrative about underlying information. Helpful illustrations, expert tips for solving common issues, and discussions on working efficiently are included to equip readers with the tools they need to engage their audience using a visual format.

Pivot Tables and Pivot Charts

Learning Objectives

  • Describe Excel’s pivot tables and charts
  • Identify data appropriate for pivot tables
  • Create and modify pivot tables
  • Create pivot charts

In the previous chapter we examined how to use many of Excel’s features and functions to review, analyze, and summarize data. In this chapter we explore Excel’s powerful pivot table feature and see how it is useful for data exploration, analysis, and summary. We’ll also look at pivot charts, which offer an easy way to create interactive charts.

Introduction to Pivot Tables

Pivot tables can be thought of as dynamic, interactive summary data reports. They can be used to quickly summarize large data sets. Frequency distributions and crosstab reports allow users to review and analyze data quickly and efficiently. The ability to filter, slice, ...

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