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