In this image, the pivot table is using a date-filter in which you can choose a specific day. Alternatively, you can sort the data by product name to identify which products sell the most, or sort by profit margin to see which products generate the most revenue. Users can easily change how data is displayed, sorted, and filtered, allowing them to explore different aspects of the data and identify trends and patterns that may not be apparent at first glance.įor example, you can create a pivot table that shows total sales by product, and then filter the information to show only sales for a specific region or time period. Flexibility in data analysisĮxcel’s PivotTables are incredibly flexible when it comes to data analysis. This image shows a Pivot table with total sums of quantity and price total with the company names as categories and the products as sub-categories. By creating a pivot table, you can quickly summarize this data to show total sales by customer, product, or date, as well as calculate average order size, profit margins, and other key metrics. Instead of manually sifting through data and calculating totals, averages, and other metrics, pivot tables allow users to do all of this with just a few clicks.įor example, imagine you have a data set that contains information about customer orders, including the customer’s name, order date, product name, quantity, and price. One of the main advantages of Excel’s PivotTables is the ability to quickly and easily summarize large sets of data. Summarize large data sets quickly and easily
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