In this article, we have learned about implementing variable in DAX query in Power BI. In this case you can leave the selection at Basic. I have all the required data and have related it in PowerBI but I just cant work out how to group / chop it up correctly to get percentage values. Now our repeating columns becomes repeating groups of rows. Another interesting thing about Power BI is that we can’t change anything individually in any particular cell or row. For demonstration purposes I prepared a sample workbook, where source is in named range “UglyTable” (I was ruthless). The first solution (looking obvious) for this task that I found after some googling and thinking was using of “append queries” method. It ought to be nested, but it doesn’t. Select any cell inside that table, click the Power Query tab and choose From Table. Unpivot al columns except common columns. As I was dissatisfied with the first method, I resumed googling and then asked Gil Raviv (a Microsoft fellow who runs Get & Transform Data in Excel 2016 blog on TechNet) in Twitter. Result = Table.TransformColumnTypes(RemoveCols,{{"Date", type date}, {"Sum", Int64.Type}, {"Customer", type text}, {"Cust.Id", type text}}) There was an Excel worksheet with more than 100 (one hundred) columns with more than 10000 rows, with all diversity of data in it. Groups the rows of table by the values in the specified column, key, for each row. Once in the Power Query Editor, the Group By feature is the first icon on the Transform tab: Transform -> Group By. score 1 score 2 score 3 A 6 25 50 B 8 30 20 C 15 15 30 D 20 0 10 I want to add a totals row (equivalent to "show totals for column" in a normal pivot table), so result would be like this. You’re welcome to like, comment, share and any type of suggestion for my appreciation. Paired columns unpivoted and became paired rows. You perform transformation and aggregation steps, and combine data from both sources to produce a Total Sales per Product and Year report. 1. In short, the Group By Operation inside Power BI / Power Query tries to do 2 things: Summarize your Data – you get your table summarized by only the columns that you select. Now each pair of row has the same corresponding number. He supposed another solution, based on a little tricky instrument he used when unpivoting nested tables. “Date”, “Sum” – without nesting or grouping. You’ll now be launched into the Power Query editor. The problem is that I lose the country column. This would be the best option as the dataset can be variable. Go to Advanced editor and add a new line of code that can generate indices in all the previously grouped tables. Expand the Grouped Data Column. ; columns: The list of columns from the table table to return. The icon appears elsewhere, in the user interface, but this is the easiest to find. But this approach also has a limitation, the same as for previous method: if number of columns changed, you need to manually add or remove steps of columns merging. With these features, you can direct Power Query Editor to get the data how you want it. Now, let’s explore each section in detail: 1. The link to the UGLY data spreadsheet is broken. I adopt it to this case, and it works perfectly. I’ll test it on big file, and think your solution will be the winner )), Your email address will not be published / Required fields are marked *. If you want to create a row-number statically as a pre-calculation in Power BI, then Power Query has a very simple way of doing it; Add Index Column. Initially my data was 4 tables, but I have merged the Hostname table with the staff table and removed staff rows for which I didn't know the hostname. I have found the List.Max function but so far all other columns have been removed except for the one I am grouping by but I need to keep all for this specific date. Click ok. Now the table will have ID, Date, AllRows columns. Group By Function in Power BI Can you provide some guidance? Home: In the HOME Tab, you have options to manage the loaded data, like, delete and move columns and rows. Indeed I have checked the data – fortunately not too many rows, checked for errors at various steps. The Record.FromList function itself allows to create a Record from list of values and a list of corresponding fileds names (as a second argument this function can take a value of record type, which allows to apply data types right inside function). Unfortunately, we can’t. For demonstration purposes I prepared a sample workbook, where source is in named range “UglyTable” (I was ruthless). Use “Unpivot other columns” option on source table (all except common columns). Select a cell in the Table and click Data -> From Table/Range to load the data into Power Query. As you can see below, the data had been loaded in the power query editor. Table.SelectColumns. This will load the data to Power Query and launch the Power Query Editor window. So this solution could be made if you sure that table’ structure will be the same all time long. This is the key step. As I’ve said, row transformations aren’t as developed as column transformations. I like your trick with Pivot+FillDown here – it seems not so obvoius, but very nice. First group by at the lowest level, next group by the higher level, adding aggregation "all rows": This is the generated code, in which Value.Type (#"Grouped Rows") in step #"Grouped Rows1" is a manual replacement of the generated type table. You can choose the method that best suits your case. This week, I look at merging columns to show that not all ‘Merge Columns’ options are born equal. Repeat this step for each pair of columns shall be stacked. Select Category and Attribute (which is where your year is) and Group By. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. In the previous article we looked at merging two tablesusing a single field to make the link. You may remove any number of rows from the top or bottom. Just wondering if this method would be even faster: let I love this trick – it is really interesting and not obvious. Please use Group By in Edit Queries using Advanced Option, Group by column as ID and MAX of Changed Date, and All rows with Column name as "AllRows". Returns the number of columns … In Power Query Editor, you can group the values from many rows into a single value. I think that I need to extract the “SYS” numbers as a new column for each group, so 12 columns, with the same value all the way down, “01” in the first column before the first group, “02” in the column before the second group, etc., then stack the groups. Part 1, https://1drv.ms/x/s!AgBCQXHKKcyHg1luSpn4pu8j5Ddr, Power Query Connection to Excel PowerPivot Data Model, Classical Incremental Refresh For Cloud Data Sources in Power BI Service (for Pro accounts), Video: Semi-incremental refresh for Pro accounts in Power BI, Incremental Refresh For Pro Accounts With Power BI Service Dataflows. I only want to keep the tuple with the most recent Changed Date of each ID. A modulo column takes the values of an existing column, divides them by a specified amount and returns the remainder. Filter = Table.SelectRows(FillDown, each [Sum] <> null), As we want to group by month, let us add a custom column for the month.Go to Add column->Date-Month->Month A new column called month has been added to … But only the … Click here to read more about the December 2020 Updates! Choose the Group By Field No luck, Any suggestions would be appreciated. Ribbon. Promote headers (note that as columns headers initially has same names, Power Query adds numeric indexes to them because columns in a table should have different names). Welcome to our Power Query blog. The standard aggregations are Average, Median, Min, Max, Count Rows, Count Distinct Rows and All Rows. It could be due to bad constructed software report or hand-made user table in Excel or web-page scrapping. So let us use some trick with index column: Here is the full M code of this method from sample workbook: This method could be applied on tables with any number of paired columns. And the main lack of this method is that whether number of groups changed, you need to add/remove some queries and edit last step (appending). And if number of groups of columns is big, it is kind of boring and need a lot of attention when you manually select two columns and merge, then repeat, then repeat…. There are currently some problems that can occur when merging columns. Column names moved to “Attribute” column. To do this: Select column Index; Go to tab Add column-> Standard (operation) -> click Modulo; Fill in the number 5 The first time I saw this trick was on Power Query TechNet forum, when Ehren, another good Microsoft fellow, used it to collect values from one column when grouping by values in another. In Power Query: Right-Click Category column and select Unpivot Other Columns. merge “Date” and “Sum” columns. Pivot = Table.Pivot(Split, List.Distinct(Split[Attribute.1]), "Attribute.1", "Value"), You can change this to another column and add or remove columns in this section. To do this in the query editor, you can Group By the code column and then modify the aggregator to use Text.Combine to do the concatenation on the note column. But what if a table we need to make flat has no nested headers for repeating groups of columns? Make sure all data has correct type assigned, close & load. And that’s exactly what Power Query does when creating a Modulo Column based on the Index column. For some reasons, when a VBA solution couldn’t be applied (especially if you work in Power BI and want to pull data in it without voodoo dances), the only way to flatten this table was using the Power Query for Excel 2010-2013 (or “Get Data” in Power BI, “Get & Transform” in Excel 2016). 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