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While blank rows make the data look more readable and easier, it is a bane for data analysis. That’s it, your data will now be cleaner. To remove duplicates, click within the data range, and go to the Data Menu.
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So whether you capture data from the Web, or SalesForce, SAP or load from Text or CSV files, the first thing is to clean up the duplicates. Remove any Duplicates.ĭuplicate rows can often sneak in from the data capture sources. This way the top row becomes the Header row. Column Heading will make it easy to analyze data with any tool in Excel. Don’t leave any column without a heading, even though it may be obvious.
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Also, ensure there is no blank columns in between adjacent cells.įor each column, make sure that you have a short and unique column heading. You need to make sure that the data range is correctly set up before you begin to analyze the data. Get The Data Ready For Summarizationīefore you begin your summarization, it is important to make sure that your original data is in a good shape.ĭuplicate, a blank cell or missing values can often spoil your data summarization. Let’s get started by exploring the different methods of summarizing data. We cover how to use the Pivot Table to Summarize Data in depth later in this article. It always begins to give me numerous insights into the data. The easiest methods of summarization are listed in the beginning.Īnd the Pivot Table technique is one of my favorite for a quick and dirty data summarization within Microsoft Excel. You can apply the different ways to summarize data based on your familiarity with Excel.
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