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Instead of looking at your information based on individual sales, you get aggregated data of the number of Units you sold in each Location for every Ship Date. Depending on the information you want to derive, using pivot tables can make your data look like this: Shifting (or pivoting) the table’s axes lets you add another dimension to your data. Using the table above as an example, you begin with every sale as its own row, with each column offering different data about the sale. To get your desired insights, you will need to add data on another level.
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These typically have “flat data” represented by vertical (rows) and horizontal (columns) axes. To explain this further, think of your standard spreadsheets.
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Pivot tables are composed of columns, rows, pages, and data fields that can be moved around, helping you isolate, group, expand, and sum your data in real-time.Įssentially, pivot tables summarize large sets of data, giving you a bird’s eye view of specific data sets, helping you organize and understand your raw information better. These data selections serve as the data sources that you can condense into aggregated forms to extract the data you want to find.įor example, by using pivot tables, you can have a clear view of the amount of revenue you generated from a specific product over a certain period in a certain store location. What are Pivot Tables and does Google Sheets have them?įrom a 30,000 foot perspective, a pivot table is a summary of data selections you already entered into or saved in Google sheets. This guide takes a comprehensive look into pivot tables in Google Sheets, why you should use them, and a few tips on creating your first pivot table. They are versatile, flexible, and essentially faster to use for exploring your data than spreadsheet formulas. Pivot tables in Google Sheets are a game-changer for efficient data analysis. With huge amounts of data, it can be challenging to come up with clear-cut conclusions or summarize information from a simple spreadsheet table view.