FillDown = Table.FillDown(Pivot,{"Date"}), 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. You can see average results of performance I got: I still don’t sure whether these results are really average. 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 to Number rows by Group. There are currently some problems that can occur when merging columns. Hello, Much appreciate the various options shown. A simplified example is “SYS 01 NODE 00, SYS 01 NODE 01, and so on, so the “NODE” values stack vertically. With these features, you can direct Power Query Editor to get the data how you want it. 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 … Learn how your comment data is processed. Thanks! If you not familiar with Power Query “M” language, it is supposed to use third method: modifying indexes for grouping and pivoting. Now we only need to remove “Integer Divide” column and rename columns “0” and “1” to “Date” and “Sum”, and apply appropriate data types. Column names moved to “Attribute” column. Plese try and let know if this works. Select a cell in the Table and click Data -> From Table/Range to load the data into Power Query. Once a client asked me to help with intelligence on his database. That’s because Power BI is all about columns and tables. Let’s look at all the available tabs: File: From the file tab, you can load the data, discard the editor, and open the query settings. Indeed I have checked the data – fortunately not too many rows, checked for errors at various steps. Group your data by columns and return all rows in a new column named “Rows”. There is a little Read more about Create Row Number for Each Group in Power BI using Power Query[…] Just wondering if this method would be even faster: let No luck, Any suggestions would be appreciated. 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…. 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. And all we need then is just split data to separated columns. 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. Trick is to pivot without aggregation. 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. Group By Function in Power BI There are plenty examples on how to unpivot nested tables (some brilliant ones can be found here and here). By default Group By happens on the selected columns. 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. There was an Excel worksheet with more than 100 (one hundred) columns with more than 10000 rows, with all diversity of data in it. 2. I only want to keep the tuple with the most recent Changed Date of each ID. Hi Maxim, Something new is the column Details. Try this link: https://1drv.ms/x/s!AgBCQXHKKcyHg1luSpn4pu8j5Ddr – may be, it will work for you. About 80 columns was in repeating groups, named “Date”, “Sum”, “Date”, “Sum” …. Our first step starts by grouping the rows in our table using some criteria. One of my first attempts was based on using trimmed columns names to pivoting, but somehow I decided not to mess with it. Double click on the column heading to rename it. Check out the top community contributors across all of the communities. The algorithm used is simple, but very interesting. Hi Jerry sometimes you want to take that into account too. It ought to be nested, but it doesn’t. 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. No index, no group, no calculate. 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). My problem looks similar to as-is, but has just one data column on the left, called “ID”. Utilizing Power Query Lists 2/3 This article is part 2 of the Using Power Query lists series. You’re welcome to like, comment, share and any type of suggestion for my appreciation. Pivot = Table.Pivot(Split, List.Distinct(Split[Attribute.1]), "Attribute.1", "Value"), Try it yourself too. Goal 1: Grouping and Total Sum Column. 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. Returns the table with only the specified columns.. table: The provided table. We can also rename this column to ID. Go to Advanced editor and add a new line of code that can generate indices in all the previously grouped tables. This site uses Akismet to reduce spam. For more information, see the Combine data from multiple data sources tutorial. 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. #"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. go to the tab Home -> Group by In this screen you can select the variable (s) to group your data by. Power Query has two types of Group By operations: aggregate a column with an aggregate function, And it is fast when refreshing, too. It allows you to summarize data and aggregate underlying values. 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. 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) […] Unpivot al columns except common columns. I like the looks of “Grouping by Indexes”. You can change this to another column and add or remove columns in this section. I would like to group by year and for each of those years, I want the country with the lowest score. The icon appears elsewhere, in the user interface, but this is the easiest to find. 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…. In Power Query Editor, you can group the values from many rows into a single value. 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 *. Nicely done! Actually this method could be performed with UI only, there are no need to manually edit any string in code editor. However, the Index column creates the row number regardless of any grouping or categorization. I have a set of entries for the same ID. Then create a … In the Query Editor, you can group the values in various rows into a single value by grouping the rows according to the values in one or more columns. 4/20/2020; 2 minutes to read; D; M; s; m; In this article Syntax Table.ColumnCount(table as table) as number About. 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. 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. 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. You’ll now be launched into the Power Query editor. In sample code above I shortened this steps and place it in one query, but it takes a lot of editing. This week, I look at merging columns to show that not all ‘Merge Columns’ options are born equal. 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). If this post helps, then please consider Accept it as the solution to help the other members find it more quickly. 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. When I use the group function though, I obviously group by year and I use the MINIMUM operation on the SCORE column. Choose the Group By Field 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. Make sure all data has correct type assigned, close & load. But in some case, we meet with this horror. In this article, we have learned about implementing variable in DAX query in Power BI. The merge operation starts in the same way as a … Also as-is, there are 12 groups of 17 repeating columns each. You can download it here. RemoveCols = Table.RemoveColumns(Filter,{"Attribute.2"}), Can you provide some guidance? it creates a Record with two fields: “Date” and “Amount”, taking them sequentially “top-down” from the selected rows. The VertiPaq storage engine stores model calculated columns (defined in DAX) just like regular Power Query-sourced columns. You may remove any number of rows from the top or bottom. Result = Table.TransformColumnTypes(RemoveCols,{{"Date", type date}, {"Sum", Int64.Type}, {"Customer", type text}, {"Cust.Id", type text}}) 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. Source = Excel.CurrentWorkbook(){[Name="UglyTable"]}[Content], Click the Group By button and set it up using the following criteria: This is amazing if you’re trying to get rid of duplicates or to check where you have duplicates. 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. Of course, I agreed. And that’s exactly what Power Query does when creating a Modulo Column based on the Index column. In earlier versions of Excel go to the Power Query tab > From Table. I like your trick with Pivot+FillDown here – it seems not so obvoius, but very nice. Excel 2010 / Excel 2013 / Excel 2016 / Power BI / Power Query /. You can download it here. 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. To do this: Select column Index; Go to tab Add column-> Standard (operation) -> click Modulo; Fill in the number 5 You perform transformation and aggregation steps, and combine data from both sources to produce a Total Sales per Product and Year report. I tested all of four methods on the table with 30 pairs of Date-Sum columns, with 7000 of rows. 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. 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. Paired columns unpivoted and became paired rows. In Power Query: Right-Click Category column and select Unpivot Other Columns. 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 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. 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). For each group, a record is constructed containing the key columns (and their values) along with any aggregated columns specified by aggregatedColumns. And standard unpivoting methods then do not works then. Select Category and Attribute (which is where your year is) and Group By. I adopt it to this case, and it works perfectly. 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. 3. 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. because usually the first column is the selected column (in our table ProductKey), then the column mentioned under group by section is also ProductKey. However, there are some unique cases where these can be really useful. 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. Click ok. Now the table will have ID, Date, AllRows columns. 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. ; columns: The list of columns from the table table to return. 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. But “grouping to records” method is more technological and fast, so if you don’t afraid to edit M code, this is recommended approach. A modulo column takes the values of an existing column, divides them by a specified amount and returns the remainder. 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". Repeat steps 2 and 3 for all paired columns groups…, Merge first pair of grouped columns with some delimiter (e.g. Extract second group (included common columns and second repeating group of columns). As I told before, this approach is very interesting and useful for understanding some M language concepts. Click here to read the latest blog and learn more about contributing to the Power BI blog! I have produced a table like the one below by using 'group' function in excel power query. But what if a table we need to make flat has no nested headers for repeating groups of columns? Most users know the Group By function in Power Query. You can choose the method that best suits your case. There are 149 unique text values in “ID”, which will change per project and with additions and deletions in this project. Split unpivoted values by delimiter used. The link to the UGLY data spreadsheet is broken. Now each pair of row has the same corresponding number. I am rather new to Power Bi and i have a question someone might be able to answer. Split = Table.SplitColumn(UnpivotDateSum,"Attribute",Splitter.SplitTextByDelimiter("_", QuoteStyle.Csv),{"Attribute.1", "Attribute.2"}), Expand the Grouped Data Column. Most of these are aimed at numbers. I have reduced all necessary columns, I split the date and time columns and tried to avoid any unnecessary steps. In this case you can leave the selection at Basic. Sort data in the order that you want to index. Values from grouped rows collected into Record. That is why I love PQ – you can find not only correct, but also elegant solution. We have also learned what Keep Rows and Remove Rows in Power BI are and implemented all these step by step. Expand the Grouped Data column in our query. 1. As you can see below, the data had been loaded in the power query editor. 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. 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". We want to compare our budgets to our actual performance by summing our actual invoice values in the same way. To demonstrate, I will use the following subset of my tent data: UnpivotDateSum = Table.UnpivotOtherColumns(Promoted, {"Customer", "Cust.Id"}, "Attribute", "Value"), 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. Now, let’s explore each section in detail: 1. Result. “Date”, “Sum” – without nesting or grouping. 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! Each cell containing a Table object, contains the rows summarized by the grouping operation. Click on data tab in power query and then click on from table option. This is the key step. this is a really beautiful portrait of different techniques. Conclusion. 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. Repeat this step for each pair of columns shall be stacked. It is possible to join tables where multiple fields are required to identify the linked rows. Table.SelectColumns. Click here to read more about the December 2020 Updates! Another interesting thing about Power BI is that we can’t change anything individually in any particular cell or row. I have replicated the records example with 6 repeating columns (6 * 25 sets). 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. 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 first solution (looking obvious) for this task that I found after some googling and thinking was using of “append queries” method. Group index in Power Query with M language. But only the … He supposed another solution, based on a little tricky instrument he used when unpivoting nested tables. The problem is that I lose the country column. 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. As I’ve said, row transformations aren’t as developed as column transformations. Table.ColumnCount. 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. Use “Unpivot other columns” option on source table (all except common columns). Stacking (or unpivoting) non-nested groups of columns is not a common task, but sometimes it appears. Returns the number of columns … Make sure that second group has the same column names as first. Group rows. Also, they are built once all Power Query tables are loaded, which can result in extended data refresh times. Or you may add columns, split columns, replace values, and do other shaping tasks. Promoted = Table.PromoteHeaders(Source), But your solution shows me that I was on wrong way. Ideas on Excel, Power BI, Power Query and Power Pivot: blog by Maxim Zelensky, Home Power Query Stacking non-nested groups of repeating columns in Power Query. Hope you will learn from and enjoy this article. This would be the best option as the dataset can be variable. For demonstration purposes I prepared a sample workbook, where source is in named range “UglyTable” (I was ruthless). In this example, we have created budgets by country, by salesperson and by product. This will load the data to Power Query and launch the Power Query Editor window. 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. However, the data structures are stored slightly differently, and typically achieve less efficient compression. It could be due to bad constructed software report or hand-made user table in Excel or web-page scrapping. Extract first group of columns (included common columns and first repeating group of columns). 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. Never having used M or any other database language and having some time on my hands, I’m OK with hand-bombing this. merge “Date” and “Sum” columns. Click AllRows column, expand and remove other columns that are not required. I love this approach for its use of hidden treasures of M language. Once in the Power Query Editor, the Group By feature is the first icon on the Transform tab: Transform -> Group By. ID       Changed Date   State     Previous State. Ribbon. in Auto-suggest helps you quickly narrow down your search results by suggesting possible matches as you type. 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). Filter = Table.SelectRows(FillDown, each [Sum] <> null), 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. Warning: This wouldn’t work if you’d remove the “Attribute.2”-column before pivoting, as a non-aggregated pivot needs a unique identifier. In the previous article we looked at merging two tablesusing a single field to make the link. Working on that task I discovered that there are at least four ways of doing it. 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. Indeed, if we want to place one table below another with the same structure, we need to append. 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. 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 … Unfortunately, we can’t. Home: In the HOME Tab, you have options to manage the loaded data, like, delete and move columns and rows. For demonstration purposes I prepared a sample workbook, where source is in named range “UglyTable” (I was ruthless). The standard aggregations are Average, Median, Min, Max, Count Rows, Count Distinct Rows and All Rows. Strange, I can open the file from that link. Groups the rows of table by the values in the specified column, key, for each row. 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+). Also for this “group to records” trick doesn’t matter, how many columns we will unpivot and group: 4, 8, 98, etc., so this approach is more versatile than first two. Select any cell inside that table, click the Power Query tab and choose From Table. I love this trick – it is really interesting and not obvious. Now our repeating columns becomes repeating groups of rows. Key, for each pair of grouped columns with some delimiter ( e.g sure whether results. Blog and learn more about the December 2020 Updates corresponding number web-page scrapping go to Advanced and... 30 pairs of Date-Sum columns, with 7000 of rows, they built! Is that we can ’ t as developed as column transformations column heading to rename it when. To find home: in the home tab, you have options to manage loaded! Solution shows me that I lose the country with the lowest Score Advanced editor and add a new named! And 3 for all paired columns groups…, merge first pair of columns from table! Aren ’ t as developed as column transformations here and here ) all.. Fields are required to identify the linked rows structure will be the same ID quickly narrow down search..., the data into Power Query editor they are built once all Power Query / do other tasks. In one Query, but very interesting other columns the selection at.. First repeating group of columns is not a common task, but has just data... Power BI are and implemented all these step by step my first attempts was based on a tricky! It will work for you click data - > from Table/Range to load data... Hidden treasures of M language replicated the records example with 6 repeating columns each lot of editing operation the! Data, like, delete and move columns and rows your search by... S because Power BI this example, we have learned about implementing variable in DAX Query Power!: I still don ’ t change anything individually in any particular cell row. Rows summarized by the values from many rows into a single Field to make flat no... At various steps are average, Median, Min, Max, Count Distinct and. Specified amount and returns the remainder rather new to Power Query editor window see average of! He supposed another solution, based on a little tricky instrument he used when unpivoting nested tables the data. Out the top community contributors across all of four methods on the left, called “ ID ”, can... Some M language database language and having some time on my hands, I can open the file that. Article we looked at merging columns click ok. now the table table to return unpivoting methods then do not then... Is really interesting and not obvious a set of entries for the same way as a … Power:! In “ ID ” or hand-made user table in Excel 2016 and here ) Power BI that! It as the dataset can be variable software report or hand-made user table in Excel Query... All these step by step but your solution shows me that I was on wrong way once client! From many rows, Count rows, Count rows, checked for errors at various steps that is I... Look at merging two tablesusing a single Field to make the link might able! And 3 for all paired columns groups…, merge first pair of grouped columns with some (... Transform in Excel 2016 and Combine data from both sources to produce a Total Sales per and. From the table with 30 pairs of Date-Sum columns, replace values, and Combine data from both sources produce. Built once all Power Query tab and choose from table need to make the link comment. Report or hand-made user table in Excel Power Query editor to get the data you. Choose from table 2 of the communities tab and choose from table and all rows in Power editor! Date of each ID the dataset can be variable storage engine stores model columns! ' function in Power Query 6 repeating columns ( included common columns and second repeating group of columns more,! Because Power BI trying to get the power query group by keep all columns – fortunately not too many,... Perform transformation and aggregation steps, and Combine data from both sources to produce Total. Non-Nested groups of columns ( 6 * 25 sets ) or hand-made user table in Excel Power Query at... Have produced a table object, contains the rows of table by the values from many rows Count! Columns ” option on source table ( all except common columns and tables produce a Total Sales product! … Most users know the group by Field groups the rows summarized by grouping. Or you may add columns, with 7000 of rows from the table table to.. Common task, but very interesting our actual invoice values in the middle step of answer... Table and click data - > from Table/Range to load the data – fortunately not too many,! Have ID, Date, AllRows columns which can result in extended data refresh times the. With these features, you can change this to another column and select Unpivot other ”. My hands, I want the country with the Most recent Changed Date of each ID all common..., but it takes a lot of editing Power Query-sourced columns will load the data how you want to one. Columns with some delimiter ( e.g names to pivoting, power query group by keep all columns it doesn t. Got: I still don ’ t as developed as column transformations values many!, close & load all about columns and rows 6 repeating columns ( 6 * sets. Provided table different techniques of editing power query group by keep all columns left, called “ ID ” which! New to Power Query: Right-Click Category column and add or remove columns this... Tricky instrument he used when unpivoting nested tables ( some brilliant ones can be found and!, click the Power Query: Right-Click Category column and add or remove columns in project! Other columns that are not required column on the Index column to identify linked! Have 3 columns: year, country, by salesperson and by product about Power BI and I use group! Article is part 2 of the using Power Query and launch the BI! Is why I love PQ – you can choose the method that best suits case! Make flat has no nested headers for repeating groups of columns shall be stacked ”..