In the previous session, you worked with statistical functions like AVERAGEIF() to summarise data across multiple groups, for example, Marital Status categories such as Single, Married, and Divorced.
Pivot Tables are a powerful alternative that allows you to aggregate and analyse data efficiently without writing formulas. They simplify the analysis process and reduce reliance on manual calculations.
In the upcoming video, you will learn how to create a Pivot Table. The process is very straightforward – just drag and drop your data fields. Let’s get started!
Understanding Pivot Table Structure
In the previous video, you learned how to create a Pivot Table using the Insert Menu in the Ribbon Bar.
A Pivot Table is organised similarly to a standard table. The rows display individual values of a chosen field, while the columns show the aggregated results for these fields. The Value Field Settings option allows you to choose different ways to calculate or format the aggregated data.
Before moving forward, try aggregating the response rates by age group in your Pivot Table. Do your results match the previous calculations using AVERAGEIF()?
In the next section, you will explore techniques for analysing data directly within a Pivot Table.