• A pivot table is a cross-table that summarises business data and shows it in a cross-table manner. It enables the production of multidimensional views for the analysis and satisfaction of business user requirements. Analysts in the financial sector frequently utilise pivot tables to organise and analyse enormous data sets.
• A pivot table has fundamental functions such as sorting, filtering, and grouping, but the following seven characteristics differentiate it as a useful widget for complex scenarios:
• The totals in the pivot table are the sum of the values in each row or column. The grand totals for each row are presented below all rows at the bottom of the pivot table. At the end of each column, grand totals for each column are presented to the right of the pivot table.
• Data from pivot tables can be aggregated to make it easier to analyse as a subset. One or more rows, columns, or both can be used to organise data in pivot tables.
• You may need to focus on specific categories and would like to extend only select nodes and conduct dynamic operations like sorting and filtering on them when dealing with huge data sets that have many unique categories in a column that must be grouped.
• By default, the pivot table only displays a row or column item if that row and column combination has data.
• Conditional formatting is best for real-time use cases in which a user needs to be notified when a threshold value is exceeded.

Read More: How to create pivot tables in excel?