A PivotTable is an interactive way to quickly summarize large amounts of data. You can use a PivotTable to analyze numerical data in detail, and answer unanticipated questions about your data. A PivotTable is especially designed for: Querying large amounts of data in many user-friendly ways.
A Pivot table is a table of stats which summarizes the data as sums, averages, and many other statistical measures. Let's assume that we got data of any real estate project with different fields like type of flats, block names, area of the individual flats, and their different cost as per different services, etc.
An Excel table is basically just a very simple database, consisting of one table. It has data elements (columns) and a set of members having those data elements (rows). It is detailed at the row level. A Pivot Table is a reporting and summation tool that gives you information *about* an Excel table.
To insert a pivot table, execute the following steps.
Pivot tables are particularly useful if you have long rows or columns that hold values you need to track the sums of and easily compare to one another. In other words, pivot tables extract meaning from that seemingly endless jumble of numbers on your screen.
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Pivot Tables, like most other Excel features, is easy to understand but requires some practice to use it effectively. The best way is to load data into Excel and create a Pivot Table, which is really about clicking and selecting your data. The real skill is in using how to use the power of Pivot to analyse your data.
Before we dive in to the steps requires to create your table, here's a quick list of the benefits pivot tables provide:
May 1, 2017
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