You have a table in Excel and what you want is to combine two columns, row-by-row, into one.
Is there a way to merge cells in excel without losing data for free#
Sign up for Free Trifacta Wrangler today.From this short article you will learn how to merge multiple Excel columns into one without losing data. At Trifacta, we live and breathe data in order to provide easy-to-use, intelligent, visual data analysis that improves data understanding for any project or organization. Trifacta was designed from the ground up to help reduce data cleansing and data preparation time. By providing a connected application for users to explore, structure, and produce dashboard-ready datasets, Trifacta helps users deliver faster, more accurate analysis. With Trifacta, data preparation is accessible, intuitive, and scalable across the organization. Trifacta is specifically designed to make this preparation process easier and more intuitive.įor example, imagine being able to save the specific merge functions you use to consolidate data in Excel, customized to each unique data source, and then reuse and share them with your colleagues effortlessly. For large and varied data sets, Excel becomes too complicated, cumbersome and slow to use. And finally, we’ll hit “Close and Load” to see the finished, merged dataset in our blank worksheet.Īs the scale and complexity of your data sources grow, you might find merging data with Excel is harder to do.Once we’re finished selecting, we can rearrange these columns as it makes sense for our analysis.We don’t need to bring in member ID, as it’s already a column in our member info dataset. Here, we’re going to select the columns that we want from our member loans dataset.When we’re finished, we’re going to click on the icon next to “member_loans” to expand the dataset we just brought in. Now, we’re going to delete some of the columns that we don’t need from our member information dataset.We know that the common data field is “member ID” so we’re going to select that column for both datasets.To merge these two datasets, we’re going to select “Merge Queries” and “Merge as New” so that we can have a separate space for our new dataset.Next, we’ll bring in our other dataset by selecting “New Source” and “Text/CSV” and we’ll see the dataset on loan information added to the left-hand side.
We’ll start by importing our file on basic member info, which will bring us into the Power Query editor.You can also import Excel files by selecting “Get Data.” Next, we’ll click on the “Data” tab of our new worksheet and select “From Text/CSV” because the files that we’re working with are csv files.First, we’ll take a look at each dataset to roughly analyze their contents, and then open up a new worksheet for our merged dataset.Each dataset also contains a member ID, which will allow us to join the data on that common field in order to compare all of this data side by side. In this example, we’re using two individual datasets, the first containing basic member information, such as income, education, phone number, etc., and the second containing member loan information, such as the loan amount, interest rate, loan status, etc. Instead, let’s take a look at how we can do this same process all within the Excel Power Query editor. Traditionally, VLookup has been one of the most important tools for merging data in Excel, but the process requires multiple steps and can easily tire analysts who must merge multiple columns across many datasets.
Then hit ‘OK,’ watch the data propagate, and begin reviewing or analyzing the new sheet.