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In many situations when working with
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Excel, we are faced with large volumes
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of data. Filtering and comparing this
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data can be a time-consuming task if
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done manually. However, with just a few
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simple clicks, Excel allows us to
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efficiently filter and summarize our
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data using pivot tables. This is
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extremely useful when we want to analyze
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information without having to manually
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compile individual reports or apply
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formulas repeatedly. In this video, we
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will learn how to create a pivot table
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in Excel 365, which is a powerful
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feature for data analysis. First, select
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the data set you want to use for your
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summary. This data should be organized
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in a tabular format with clear headers
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for each column. Once your data is
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selected, go to the insert tab and
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choose the pivot table option. Excel
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will automatically detect the range you
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selected and ask where you want the
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pivot table to appear, either in a new
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worksheet or in the existing one. You
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can choose based on your preference. To
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make the data easier to analyze, start
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by dragging the column that contains
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product names into the row section of
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the pivot table field list. This step
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will organize your table by product,
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showing each item as a row. Next, if you
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want to compare different aspects of the
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data, such as sales figures or
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quantities, drag the corresponding
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fields into the values section. Excel
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will automatically summarize the data,
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usually by summing the values, and
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display the results neatly grouped by
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product. As you can see, this method
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provides a clear summary of the product
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data without having to manually filter
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or reorganize anything. The pivot table
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automatically groups and calculates the
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information for you, which makes it much
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easier to interpret large data sets
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quickly. This is one of the most
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efficient ways to summarize and compare
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large sets of information in Excel. By
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using pivot tables, you save time and
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reduce the chances of manual errors
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while gaining better insights into your