A Pivot table has four different sections, which include –
- Values Area
- Rows Area
- Column Area
- Filter Area
In a pivot table, the different sections typically include:
- Row Labels (Rows): This section displays the unique values from one of the categorical variables in the dataset along the rows of the pivot table. Each unique value represents a different category or group.
- Column Labels (Columns): This section displays the unique values from another categorical variable in the dataset along the columns of the pivot table. Similar to the row labels, each unique value represents a different category or group.
- Values: This section displays the summary values (e.g., sum, count, average) based on the numerical variable(s) in the dataset. The summary values are aggregated based on the intersections of the row and column labels.
- Filters: This section allows users to filter the data displayed in the pivot table based on specific criteria or conditions. It helps in analyzing a subset of the data according to the filter conditions set by the user.
These sections together provide a flexible and interactive way to summarize and analyze large datasets, allowing users to quickly gain insights and identify patterns or trends in the data.