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. It ought to be nested, but it doesn’t. In this example, we have created budgets by country, by salesperson and by product. This is the key step. Now we only need to remove “Integer Divide” column and rename columns “0” and “1” to “Date” and “Sum”, and apply appropriate data types. 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. Just wondering if this method would be even faster: let I want the to-be to have: the ID column, repeating 12 times, every 149 rows; a new column that shows the group number, also repeating 12 times, and 17 columns of data. My problem looks similar to as-is, but has just one data column on the left, called “ID”. Of course, I agreed. For demonstration purposes I prepared a sample workbook, where source is in named range “UglyTable” (I was ruthless). 1. Welcome to our Power Query blog. About 80 columns was in repeating groups, named “Date”, “Sum”, “Date”, “Sum” …. This would be the best option as the dataset can be variable. You may remove any number of rows from the top or bottom. Click the Group By button and set it up using the following criteria: 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). Split unpivoted values by delimiter used. UnpivotDateSum = Table.UnpivotOtherColumns(Promoted, {"Customer", "Cust.Id"}, "Attribute", "Value"), Group rows. Choose the Group By Field Returns the table with only the specified columns.. table: The provided table. Go to Advanced editor and add a new line of code that can generate indices in all the previously grouped tables. Note: The Query Editor only appears when you load, edit, or create a new query using Power Query.The following video shows the Query Editor window appearing after editing a query from an Excel workbook. You can download it here. Table.SelectColumns. Split = Table.SplitColumn(UnpivotDateSum,"Attribute",Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv),{"Attribute.1", "Attribute.2"}), 3. And that’s exactly what Power Query does when creating a Modulo Column based on the Index column. And all we need then is just split data to separated columns. Hello, Much appreciate the various options shown. We can also rename this column to ID. Something new is the column Details. The link to the UGLY data spreadsheet is broken. this is a really beautiful portrait of different techniques. The algorithm used is simple, but very interesting. merge “Date” and “Sum” columns. I have a set of entries for the same ID. The merge operation starts in the same way as a … You’ll now be launched into the Power Query editor. sometimes you want to take that into account too. With these features, you can direct Power Query Editor to get the data how you want it. In earlier versions of Excel go to the Power Query tab > From Table. In this case you can leave the selection at Basic. 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). He supposed another solution, based on a little tricky instrument he used when unpivoting nested tables. To demonstrate, I will use the following subset of my tent data: 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. Thanks! I adopt it to this case, and it works perfectly. Stacking (or unpivoting) non-nested groups of columns is not a common task, but sometimes it appears. Warning: This wouldn’t work if you’d remove the “Attribute.2”-column before pivoting, as a non-aggregated pivot needs a unique identifier. If you not familiar with Power Query “M” language, it is supposed to use third method: modifying indexes for grouping and pivoting. Conclusion. Extract first group of columns (included common columns and first repeating group of columns). Try it yourself too. You can change this to another column and add or remove columns in this section. 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) Once in the Power Query Editor, the Group By feature is the first icon on the Transform tab: Transform -> Group By. Working on that task I discovered that there are at least four ways of doing it. Group index in Power Query with M language. Goal 1: Grouping and Total Sum Column. Expand the Grouped Data Column. Note if multiple keys match the comparer, different keys may be … There was an Excel worksheet with more than 100 (one hundred) columns with more than 10000 rows, with all diversity of data in it. Then create a … In this series, we will look at how we can use lists to do the following: Dynamic Filtering on a Column Using Lists Changing a Table of Attributes and Values to retain only Top 10 Attributes (by values) […] in Values from grouped rows collected into Record. Use “Unpivot other columns” option on source table (all except common columns). However, there are some unique cases where these can be really useful. 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. Try this link: https://1drv.ms/x/s!AgBCQXHKKcyHg1luSpn4pu8j5Ddr – may be, it will work for you. Extract second group (included common columns and second repeating group of columns). 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. Most users know the Group By function in Power Query. Indeed, if we want to place one table below another with the same structure, we need to append. 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. The icon appears elsewhere, in the user interface, but this is the easiest to find. 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. There are 149 unique text values in “ID”, which will change per project and with additions and deletions in this project. As you can see below, the data had been loaded in the power query editor. Plese try and let know if this works. Expand the Grouped Data column in our query. Unpivot al columns except common columns. I am rather new to Power Bi and i have a question someone might be able to answer. A simplified example is “SYS 01 NODE 00, SYS 01 NODE 01, and so on, so the “NODE” values stack vertically. Trick is to pivot without aggregation. Group By Function in Power BI I've explained this in more detail in the middle step of this answer. 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! Home: In the HOME Tab, you have options to manage the loaded data, like, delete and move columns and rows. By telling Power Query to add a column using the All Rows operation, it adds a Table object to each row of the resulting column. Result. I like your trick with Pivot+FillDown here – it seems not so obvoius, but very nice. Click on data tab in power query and then click on from table option. Actually this method could be performed with UI only, there are no need to manually edit any string in code editor. 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. No index, no group, no calculate. Indeed I have checked the data – fortunately not too many rows, checked for errors at various steps. But what if a table we need to make flat has no nested headers for repeating groups of columns? The VertiPaq storage engine stores model calculated columns (defined in DAX) just like regular Power Query-sourced columns. Use Power Query's Query Editor to import data from a local Excel file that contains product information, and from an OData feed that contains product order information. it creates a Record with two fields: “Date” and “Amount”, taking them sequentially “top-down” from the selected rows. You perform transformation and aggregation steps, and combine data from both sources to produce a Total Sales per Product and Year report. Filter = Table.SelectRows(FillDown, each [Sum] <> null), 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. You can see average results of performance I got: I still don’t sure whether these results are really average. #"Inserted Modulo"]), "Inserted Modulo", "Value"), Using the header of the report as the data for table columns in Power Query, BIN2DEC in Power Query: Implementations of List.Accumulate. To do this: Select column Index; Go to tab Add column-> Standard (operation) -> click Modulo; Fill in the number 5 Make sure all data has correct type assigned, close & load. I would like to group by year and for each of those years, I want the country with the lowest score. Table.ColumnCount. I have produced a table like the one below by using 'group' function in excel power query. That’s because Power BI is all about columns and tables. Click here to read the latest blog and learn more about contributing to the Power BI blog! Excel 2010 / Excel 2013 / Excel 2016 / Power BI / Power Query /. Check out the top community contributors across all of the communities. 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. Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. Source = Excel.CurrentWorkbook(){[Name="UglyTable"]}[Content], However, the data structures are stored slightly differently, and typically achieve less efficient compression. Ribbon. But “grouping to records” method is more technological and fast, so if you don’t afraid to edit M code, this is recommended approach. I tested all of four methods on the table with 30 pairs of Date-Sum columns, with 7000 of rows. 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. Never having used M or any other database language and having some time on my hands, I’m OK with hand-bombing this. Also, they are built once all Power Query tables are loaded, which can result in extended data refresh times. Pivot = Table.Pivot(Split, List.Distinct(Split[Attribute.1]), "Attribute.1", "Value"), RemoveCols = Table.RemoveColumns(Filter,{"Attribute.2"}), If they will be the same each time (“Date”, “Sum”) and has not index added to name by Power Query, it will be very easy to pivot this table by these names. It is possible to join tables where multiple fields are required to identify the linked rows. 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). Unfortunately, we can’t. 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. So this solution could be made if you sure that table’ structure will be the same all time long. Select any cell inside that table, click the Power Query tab and choose From Table. My problem is with using the TABLE.GROUP( ) I have 3 columns: Year, Country, Score. 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. This site uses Akismet to reduce spam. It allows you to summarize data and aggregate underlying values. This week, I look at merging columns to show that not all ‘Merge Columns’ options are born equal. ; columns: The list of columns from the table table to return. When I use the group function though, I obviously group by year and I use the MINIMUM operation on the SCORE column. In sample code above I shortened this steps and place it in one query, but it takes a lot of editing. Hope you will learn from and enjoy this article. 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. FillDown = Table.FillDown(Pivot,{"Date"}), Once a client asked me to help with intelligence on his database. And it is fast when refreshing, too. 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. 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. The standard aggregations are Average, Median, Min, Max, Count Rows, Count Distinct Rows and All Rows. 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. I have reduced all necessary columns, I split the date and time columns and tried to avoid any unnecessary steps. Make sure that second group has the same column names as first. 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. 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". Click ok. Now the table will have ID, Date, AllRows columns. It could be due to bad constructed software report or hand-made user table in Excel or web-page scrapping. Now, let’s explore each section in detail: 1. Returns the number of columns … 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. 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 *. This approach I do not peeped and “invented” myself (although I’m sure I’m not the first one), so I proudly present it here. 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. 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+). By default Group By happens on the selected columns. 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. 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…. I only want to keep the tuple with the most recent Changed Date of each ID. go to the tab Home -> Group by In this screen you can select the variable (s) to group your data by. Double click on the column heading to rename it. Column names moved to “Attribute” column. Power Query is known as Get & Transform in Excel 2016. In this article, we have learned about implementing variable in DAX query in Power BI. because usually the first column is the selected column (in our table ProductKey), then the column mentioned under group by section is also ProductKey. Select a cell in the Table and click Data -> From Table/Range to load the data into Power Query. 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. Hi Jerry 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. Each cell containing a Table object, contains the rows summarized by the grouping operation. 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. I love this approach for its use of hidden treasures of M language. You select Advanced only when you want to group by multiple variables or when you want to perform an operation on more than one variable. There are plenty examples on how to unpivot nested tables (some brilliant ones can be found here and here). When I expand the Values within the data I receive one row with Expression.Error: 6 keys were specified, but 4 values were provided.Then the next row is similar Expression.Error: 6 keys were specified, but 2 values were provided. We want to compare our budgets to our actual performance by summing our actual invoice values in the same way. Power Query has two types of Group By operations: aggregate a column with an aggregate function, Learn how your comment data is processed. A modulo column takes the values of an existing column, divides them by a specified amount and returns the remainder. In the previous article we looked at merging two tablesusing a single field to make the link. Another interesting thing about Power BI is that we can’t change anything individually in any particular cell or row. Can ’ t this project another with the same way as a Power. Table in Excel or web-page scrapping group by function in Power BI and I have set! 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