Another aspect it outperforms in is data protection, ensuring that company information remains secure.Microsoft Power BI Pro is a collection of services, apps, and connectors that work together to help you. While it’s more advanced than Excel but not as good as Tableau, it has powerful tools to turn your insight into reports and dashboards. Microsoft Power BI is a business intelligence and data analytics program that’s free for individuals but has a subscription package for companies or teams.
![]() Power Bi Free For IndividualsWhat is the difference between Power Query and Power Pivot?Power Pivot is often associated with Power Query because it is a Microsoft Office add-in that eases data analysis. It doesn’t slow down your computer!).To sum up, Power Query is a data analysis tool making ETL (Extract-Transform-Load) processes both more simple and effective.2. What’s so great about that? Well, since the source data is not directly imported, it does not make your Excel file heavier (i.e. The outcome is like a snapshot of reshaped data brought to Excel. ![]() In order to flatten the data, we are going to apply further steps (see the Queries pane)! A query is basically a connection to a data source.You may have also noticed that some applied steps have already appeared in the Query Settings pane. This is the first step of your query. Easily edit the steps order of different steps through dragging-and-dropping! Also, you can add and delete unnecessary steps by a simple click.(see Part 2 – Section3: How to get started with Power Query?)However Power Query can’t replace VBA when it comes to interacting with Excel’s interface, automating processes, generating new files, sending emails, etc.Congrats, you are now connected to the data source “Exchange Rates”. Visualize your operations step by step without running a single macro. Process your tables simply by clicking on buttons. Games good for the macPromote your first row as a header: click “ Use First Row as Headers”. Get rid of blank rows: Remove rows > Remove blank rows (as shown below). You will instantly see the transformation on the Data table preview as well as in the applied steps (Query Settings). Remove the top 3 rows, go to Remove rows > Remove top rows and type “3”. Rename the columns: click on the header cells, enter “Date” in the first one, “Currency” in the second one and “Rate” in the third one. Unpivot the columns: Select the “Exchange Rate” column, then in the Transform tab, go to Unpivot columns > Unpivot Other columns (you can also select the five other columns and select “Unpivot columns”). Remove blank columns: click “ Choose columns” and uncheck columns 7, 8, 9 and 10.You’re doing good! Three more steps and you will be all set! * Please note that you need to complete all steps in the previous section before starting to manipulate the tables.Firstly, let’s import the whole folder including the three different source files: It is time-consuming to convert them to Euros, even more to then consolidate them into the final report.What if you could automate the process and compute your report in a few minutes only using Power Query?Now we will see how to consolidate different data sources and merge them with the table we prepared in the previous section. Problem: each file lists the sales in the country’s own denomination. Now, y ou have to consolidate the December 2018 data that the country managers sent you. Let’s go further with Power Query (Re)imagine the following situation:Thanks to your Power Query skills, you are now a SENIOR financial controller of the technology firm. In the Home tab, click on Close and Load to load the final table in a new sheet.Well done! You shaped your first data table.5. ![]() Let’s type the Revenue formula: Once the column appears, click on its type symbol (just before the name) and select “ Decimal Number”.We have to do the same to generate the “Revenue” column: Double click on “Unit Price Local Currency” (or select it and then click on Insert). Let’s write the formula of the Price in Euros: Go to Home tab > Close & Load > Close & Load.Now you can fully benefit from Excel features to analyze the data, make a pivot table, etc.Wow! If you made it to the end, congratulations! You now know how Power Query works. Again, change the column type to “ Decimal Number”.To finish, let’s export it to a new data table in Excel!
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