How to use data analysis in excel using a spreadsheet

#How to use data analysis in excel using a spreadsheet how to

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.ДЇor 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, weвЂ™ll hit вЂњClose and LoadвЂќ to see the finished, merged dataset in our blank worksheet.ДЄs the scale and complexity of your data sources grow, you might find merging data with Excel is harder to do.

Once weвЂ™re finished selecting, we can rearrange these columns as it makes sense for our analysis.

We donвЂ™t need to bring in member ID, as itвЂ™s already a column in our member info dataset. Here, weвЂ™re going to select the columns that we want from our member loans dataset.When weвЂ™re finished, weвЂ™re going to click on the icon next to вЂњmember_loansвЂќ to expand the dataset we just brought in. Now, weвЂ™re going to delete some of the columns that we donвЂ™t need from our member information dataset.We know that the common data field is вЂњmember IDвЂќ so weвЂ™re going to select that column for both datasets.To merge these two datasets, weвЂ™re going to select вЂњMerge QueriesвЂќ and вЂњMerge as NewвЂќ so that we can have a separate space for our new dataset.Next, weвЂ™ll bring in our other dataset by selecting вЂњNew SourceвЂќ and вЂњText/CSVвЂќ and weвЂ™ll see the dataset on loan information added to the left-hand side.WeвЂ™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 вЂњGet Data.вЂќ Next, weвЂ™ll click on the вЂњDataвЂќ tab of our new worksheet and select вЂњFrom Text/CSVвЂќ because the files that weвЂ™re working with are csv files.First, weвЂ™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, weвЂ™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, letвЂ™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 вЂOK,вЂ™ watch the data propagate, and begin reviewing or analyzing the new sheet.

Important: Make sure the labels match.

Under вЂReference,вЂ™ select вЂBrowseвЂ™ to identify the Excel workbooks you want to consolidate the data from.

In this example, weвЂ™re using вЂњSumвЂќ to add together the total loans borrowed per member.

In the вЂFunctionвЂ™ box, select the function you want to use.

In a new empty worksheet, select вЂConsolidate.вЂ™.

Open each sheet you plan to use and confirm that the data types you want to consolidate in Excel match. If both sets of numeric data are already formatted in a similar way, such as prices always formatted as $1.00, you can use the Excel consolidate feature (under the вЂDataвЂ™ dropdown menu).

#How to use data analysis in excel using a spreadsheet how to

You want to understand the total amount of loans borrowed by each member, so you may naturally wonder how to combine data in Excel. For this example, letвЂ™s say you are given two sets of data about the amount of loans a group of members have borrowed per year, each in an independent Excel workbook.