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). However, the data structures are stored slightly differently, and typically achieve less efficient compression. 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…. In order to number rows by group, what we really want to do is add an Index column, but we need to add it for each of the individual tables in our grouped segments. RemoveCols = Table.RemoveColumns(Filter,{"Attribute.2"}), I have produced a table like the one below by using 'group' function in excel power query. With these features, you can direct Power Query Editor to get the data how you want it. Or you may add columns, split columns, replace values, and do other shaping tasks. 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 … Power Query is known as Get & Transform in Excel 2016. Every of these methods is suitable for different cases, but I prefer last two: they are more versatile and could be used on table of any size. Now our repeating columns becomes repeating groups of rows. Can you provide some guidance? There are 149 unique text values in “ID”, which will change per project and with additions and deletions in this project. I love this trick – it is really interesting and not obvious. Use “Unpivot other columns” option on source table (all except common columns). Paired columns unpivoted and became paired rows. Group the data by Group; Add a aggregation column for "All Rows" Like this: Which yields this: We are now ready to add the numbering. Goal 1: Grouping and Total Sum Column. What we have in source and what we need to get shown on the picture below: Actually we need to stack repeating groups one under other, keeping in place the common data from first columns. Hi Jerry Now we can remove “Index” and expand “Values” column by clicking on double arrow right to column name, and we got the table we need! You can see average results of performance I got: I still don’t sure whether these results are really average. in the as-is, every column has headers, with every group distinguished by a text value, including a number, i.e., “SYS 01”, “SYS 02″,…,”SYS 12”, that occurs in every header in the group. Select a cell in the Table and click Data -> From Table/Range to load the data into Power Query. Plese try and let know if this works. Once in the Power Query Editor, the Group By feature is the first icon on the Transform tab: Transform -> Group By. So the algorithm for this method is in next steps: Here is a simple code in M language to perform this transformation: Although it can be done with UI on all stages, this method has a lot of manual work. In this example, we have created budgets by country, by salesperson and by product. Indeed I have checked the data – fortunately not too many rows, checked for errors at various steps. 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. Power Query has two types of Group By operations: aggregate a column with an aggregate function, I have a set of entries for the same ID. Trick is to pivot without aggregation. Most users know the Group By function in Power Query. Step 3: In the Power Query editor window Add an Index Column (Note: this step isn't strictly required in this scenario, I just added it out of habit) 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. Actually this method could be performed with UI only, there are no need to manually edit any string in code editor. I like your trick with Pivot+FillDown here – it seems not so obvoius, but very nice. Just wondering if this method would be even faster: let 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 *. Select any cell inside that table, click the Power Query tab and choose From Table. I have replicated the records example with 6 repeating columns (6 * 25 sets). In this case you can leave the selection at Basic. But when I saw this “database” which he proudly presented to me, I was glad that the customer does not see my face and did not hear any comments passed my lips. Hi Maxim, This will load the data to Power Query and launch the Power Query Editor window. Now to Number rows by Group. 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". go to the tab Home -> Group by In this screen you can select the variable (s) to group your data by. And here is some magic: now we’ll group rows by this modified “Index”, but as an aggregate function we’ll use non-standard, then from contents of column [Value] of these selected rows…. The merge operation starts in the same way as a … I only want to keep the tuple with the most recent Changed Date of each ID. Pivot = Table.Pivot(Split, List.Distinct(Split[Attribute.1]), "Attribute.1", "Value"), The idea is simple: as we cannot just unpivot this table because we have more than one column of the same data, we merge these columns in one, and then we get a pack of columns that can be unpivoted in usual way. Most of these are aimed at numbers. So this solution could be made if you sure that table’ structure will be the same all time long. Note if multiple keys match the comparer, different keys may be … It ought to be nested, but it doesn’t. Power BI GroupBy Group by is a type of query which is also used in power bi, there is an editor in power bi which is known as query editor window which has various queries for accessing data and such query is Group by which is used to group rows based on a given certain value. You can download it here. Hello, Much appreciate the various options shown. 4/20/2020; 2 minutes to read; D; M; s; m; In this article Syntax Table.ColumnCount(table as table) as number About. As I told before, this approach is very interesting and useful for understanding some M language concepts. One of my first attempts was based on using trimmed columns names to pivoting, but somehow I decided not to mess with it. When we look at result, we can see that our data from “repeating columns” become “repeating rows”: Unpivot “Inserted Modulo” column (select “Value” column as values and do not aggregate). Extract first group of columns (included common columns and first repeating group of columns). That is why I love PQ – you can find not only correct, but also elegant solution. I've explained this in more detail in the middle step of this answer. This is main difference form first two approaches: it doesn’t matter whether number of columns increase or decrease, after unpivoting we will work with rows. For each group, a record is constructed containing the key columns (and their values) along with any aggregated columns specified by aggregatedColumns. Welcome to our Power Query blog. A simplified example is “SYS 01 NODE 00, SYS 01 NODE 01, and so on, so the “NODE” values stack vertically. Again, we need to go to the Add Column tab and press the Index Column command to create a new index column starting From 1. When performing it with UI only, you need to create as much queries as number of repeating groups you have, and then append queries one by one in corresponding number of steps. 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. In the previous article we looked at merging two tablesusing a single field to make the link. Split = Table.SplitColumn(UnpivotDateSum,"Attribute",Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv),{"Attribute.1", "Attribute.2"}), Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. 1. in Choose the Group By Field Select Category and Attribute (which is where your year is) and Group By. The first five steps is the same as in previous method (only difference that we will not add custom column but transform “Index” column): And what we really have as a result of aggregation is a value of record type for each of grouped rows. 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. For more information, see the Combine data from multiple data sources tutorial. 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. 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). Hope you will learn from and enjoy this article. Click the Group By button and set it up using the following criteria: Table.SelectColumns. Repeat steps 2 and 3 for all paired columns groups…, Merge first pair of grouped columns with some delimiter (e.g. 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. I have reduced all necessary columns, I split the date and time columns and tried to avoid any unnecessary steps. It is possible to join tables where multiple fields are required to identify the linked rows. Column names moved to “Attribute” column. I tested all of four methods on the table with 30 pairs of Date-Sum columns, with 7000 of rows. FillDown = Table.FillDown(Pivot,{"Date"}), Strange, I can open the file from that link. However, the Index column creates the row number regardless of any grouping or categorization. Now, let’s explore each section in detail: 1. Another interesting thing about Power BI is that we can’t change anything individually in any particular cell or row. 4/23/2020; 2 minutes to read; D; M; s; m; In this article Syntax Table.SelectColumns(table as table, columns as any, optional missingField as nullable number) as table About. And all we need then is just split data to separated columns. The solution I came up with so far is to split the data per month and then merge it together since pivoting data is working flawlessly when the dataset is small, but once it gets bigger the reload time takes a long time (5min+). He supposed another solution, based on a little tricky instrument he used when unpivoting nested tables. 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. If you not familiar with Power Query “M” language, it is supposed to use third method: modifying indexes for grouping and pivoting. Click here to read the latest blog and learn more about contributing to the Power BI blog! We want to compare our budgets to our actual performance by summing our actual invoice values in the same way. You can download it here. And standard unpivoting methods then do not works then. Also as-is, there are 12 groups of 17 repeating columns each. No index, no group, no calculate. Double click on the column heading to rename it. But your solution shows me that I was on wrong way. Group your data by columns and return all rows in a new column named “Rows”. But in some case, we meet with this horror. Group rows. You may remove any number of rows from the top or bottom. Each cell containing a Table object, contains the rows summarized by the grouping operation. To view the Query Editor without loading or editing an existing workbook query, from the Get External Data section in the Power Query ribbon tab, select From Other Sources > Blank Query. As I’ve said, row transformations aren’t as developed as column transformations. However, there are some unique cases where these can be really useful. “Date”, “Sum” – without nesting or grouping. In Power Query: Right-Click Category column and select Unpivot Other Columns. Utilizing Power Query Lists 2/3 This article is part 2 of the Using Power Query lists series. For demonstration purposes I prepared a sample workbook, where source is in named range “UglyTable” (I was ruthless). Of four methods on the selected columns be found here and here ) rows ” tuple the! ’ ll now be launched into the Power Query re trying to get data. December 2020 Updates launch the Power Query, but it doesn ’ t change anything in. 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