Pivot tables, also known as pivot tables, help researchers visualize survey response data relative to a single question. Creating a pivot table is relatively simple and can be done with a few clicks. Pivot tables or tabs are useful in analyzing quantitative data, especially for analyzing responses between different groups.
A pivot table helps you perform multivariate analysis by creating secondary pivots or nested pivots. It helps you understand and compare how different respondents reacted to the survey.
For example, one of your questions may be, “Where are you from?” Possible answers might include:
Research pivot tables allow researchers to visualize how respondents from each answer option responded to all the questions without creating groups and segments for each option. The question that you use to segment the rest of the survey is referred to as the pivot question.
Researchers use pivot tables for the following:
Pivot tables are advantageous as they expand a researcher’s research capabilities by helping them gain more precise insights from their research data. Here are some more advantages of using pivot tables:
Learn how to set up and use this feature with our help file on Pivot tables.