Concatenate, Merge or Combine multiple rows into one value - Power Query for Power BI
Click to Register. Now back to the regularly scheduled programming…take it away Andrew. You know those quiet evenings at home, sipping tea by the fire, wishing only that you had a crisp list of sequential numbers to serve as potential discount rates for your custom XIRR function? Sure, we have all been there.
There is no question that the process of creating a sequential list of values in Excel was painful … but then came List.
DAX Aggregation - GENERATE function
Generate to save the day! Download Example File. Exploring my imagination with the M programming language is something that I have only recently started to enjoy. Initially, I found that M was difficult to understand and follow, but that might be because I was relying solely on the MSDN documentation. Example below to illustrate the potential for frustration for learners. Having worked with M now for a while, the above example seems very simple, but at first it was daunting.
There was one formula in particular that was very confusing and I thought I would never touch it; List. To someone used to writing measures in DAX, the above looked totally foreign. As with everything however, the more you read, the more you know. So I decided to put my initial impressions aside and give List. Generate a shot. Generate — The name of the function. Start as as any — What does the list start as? This is the same thing as creating a function in Power Query as follows:.
Condition as item as any as logical — Here is where you define the boundaries of the list you are creating. Once the List. Generate function will terminate. The XIRR is the discount rate at which a series of uniform or non-uniform cash flows sums to 0. Here, you have to either use calculus to find rate, or make successive guesses. OR brute force with a large list of numbers! I created this discount rate table in Power Query on the fly to test out this method, along with some iterative measures in Power Pivot to calculate XIRR:.
Is it the most efficient way to find XIRR?
No… but it sure is fun! In the below function, simply enter the loan amount as P, interest rate as I and total number of payments as n. The function will return an entire amortization table for you. I know that this is only the beginning of my work with M and List.
Generate in Power BI. Once again, the M engine, together with the DAX engine, prove flexible and powerful.
Check out this workbook with the Mortgage Amortization function! FYI: let Formatting on the first example should be first letter lower case and let followed by a carriage return. I believe the format was changed by the blog editor.Some of the techniques described in this page are not obsolete.
A static table has a fixed number of rows and columns and cannot be refreshed. For example, you might have a table defining a list of segments, such as one you might use in a Static Segmentation :. Depending on the tool where you are using DAX, you have different options to create a static table. When you paste a table content from the clipboard, you create a new static table, or append data to an existing static table, or replace an existing static table. The data model stores the content of the table in its internal metadata.
You cannot create a similar table in DAX. You can also use linked tables, but technically a linked table is a table connected to the underlying Excel workbook, so you can modify its content by modifying the Excel table.
Similar to Power Pivot, you create a static table by pasting a table into the data model in Visual Studio. If you open the content of the.
Creating a Table in Power BI Using DAX Table Constructor
This is the same technique used by Power Pivot. You have several options to create a static table in Power BI Desktop. In this case, the new table is embedded in the data model as a Power Query expression. Internally, the list of constant values is stored as an encoded compressed JSON document, resulting in the following M code:.
This is the same technique used when you import in Power BI Desktop an Excel workbook containing a static table. If you want to keep the data visible, you might use a calculated table with the union of different rows, such as the following expression:.
Such a syntax is verbose, because you replicate the column names in each row, even if only the first one defined the column names in the output table.
Moreover, you do not have a direct control over the data type of the columns, which are inferred by the expressions of the values included in the ROW syntax. Currently CTP 3. This feature should be implemented before RTM, and we will update this article as soon as it will be available. Nevertheless, in CTP 3. After you defined all the columns, you provide a list of rows, embedded between curly brackets braces.As you probably know, whenever you are doing any kind of date or time-based calculations in DAX you should always have a separate Date table in your Power Pivot model.
This table is automatically marked as the Date Table in your model. The table contains a continuous range of dates starting from the beginning of the year of the earliest date found in any column in any table in your Data Model, up to the end of the year containing the latest date found in any column in any table in your Data Model.
Obviously, this means that your table could contain a very large date range if, for example, you have a Customer table containing a Date Of Birth column.
Luckily, you also have the option of manually configuring the range of dates used by clicking the Update Range button:. One other thing to point out is that the resulting table is a table like any other, so you can add, delete or rename columns as you wish. If you do make changes like adding calculated columns, such as the Month Year calculated column shown below:. You can then click the Save Configuration button to save the current state of the table as your default. This means that the next time you create a new Date table in the same workbook, the table will include any customisations.
All in all, this is a very handy feature that will save Power Pivot modellers a lot of time. Reblogged this on SutoCom Solutions. Running Excel version In addition one needs to have a date column in the imported data table. If you create a date column using Calculated Columns, the New Date Table feature is still greyed out. Reblogged this on Cum parchez eu? Pingback: Info Roundup 6 — reports.
This site uses Akismet to reduce spam. Learn how your comment data is processed. Luckily, you also have the option of manually configuring the range of dates used by clicking the Update Range button: One other thing to point out is that the resulting table is a table like any other, so you can add, delete or rename columns as you wish.
If you do make changes like adding calculated columns, such as the Month Year calculated column shown below: You can then click the Save Configuration button to save the current state of the table as your default. Share this: Twitter LinkedIn Facebook.
Like this: Like Loading Leave a Reply Cancel reply.There are some functions in DAX that are useful in very specific scenarios. For example, sometimes, you might want to create a table entirely in DAX. If you want to do that, what are your ways and how it is possible? This might be helpful especially in the first days of learning about DAX. Table constructor is not a function in DAX, it is a set of characters which using those, you can create a table in DAX. The syntax of table constructor is simple, It is like below:.
This means value1 will be the value of the first column in the table, value2 would be the value of the second column and etc. The Value column automatically takes the data type of the Whole Number. As you see, even the comma separates the rows. However, what if we want to have more columns? If you want to have multiple rows and columns in the table, you can write an expression like this:.
With the table constructor, you can have different data types in each column, but then, Power BI convert all values to a common data type.
Like below example. When you are using constructors, you can put any values you like as the values of cells and rows. However, all rows should have the same number of columns.
And that is why you get the error: Each tuple in table constructor must have the same number of columns. If you want to pass a cell with no value, you can either leave that part blank or use the BLANK function. Like the below example:.
Column names are always Value1, Value2, Value3,…. You can, however, change it afterwards with just renaming it, or even using SelectColumns function. Data types of columns are defined automatically, which you can then go and change it manually.Most of the time, you create tables by importing data into your model from an external data source.
But calculated tables let you add new tables based on data you've already loaded into the model. Instead of querying and loading values into your new table's columns from a data source, you create a Data Analysis Expressions DAX formula to define the table's values. DAX includes a library of over functions, operators, and constructs, providing immense flexibility in creating formulas to calculate results for just about any data analysis need.
Calculated tables are best for intermediate calculations and data you want to store as part of the model, rather than calculating on the fly or as query results. For example, you might choose to union or cross join two existing tables. Just like other Power BI Desktop tables, calculated tables can have relationships with other tables. Calculated table columns have data types, formatting, and can belong to a data category.
You can name your columns whatever you want, and add them to report visualizations just like other fields. Calculated tables are recalculated if any of the tables they pull data from are refreshed or updated. For example, imagine you're a personnel manager who has a table of Northwest Employees and another table of Southwest Employees.
You want to combine the two tables into a single table called Western Region Employees. It's a bit easier to do in Data View, because then you can immediately see your new calculated table. A new table named Western Region Employees is created, and appears just like any other table in the Fields pane.
You can create relationships to other tables, add measures and calculated columns, and add the fields to reports just like with any other table. You can define a calculated table by any DAX expression that returns a table, including a simple reference to another table. For example:. This article provides only a quick introduction to calculated tables. You can use calculated tables with DAX to solve many analytical problems. Here are some of the more common DAX table functions you might use:.
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Then I created a calculated table, which gives result as sum of sales group by ProductSubCategory and ProductCategory. Below is the DAX for the calculated table.
Below is the DAX to do this. I want this TOPn rows to be displayed based on filter condition on product category. Something like below. This works fine when I hardcode the product category value in the DAX itself. What you are asking for is not possible as Power BI is currently designed.
Slicers cannot affect calculated tables. Calculated columns and calculated tables are evaluated once when the data is first loaded and are static until the data is refreshed. However, you can get the table visual you want in a much simpler manner by writing the appropriate measure and putting that in the table instead of defining an entirely separate table.
As you suggested, I know that I can get TopN Product Sub Category values by creating appropriate measures and without creating entirely separate calculated table. But my requirement is different. I want this visual filter to be applied dynamically. To achieve this requirement, I thought dynamic calculated table will help me, which will give always give top 3 Product Sub Categories based on my Product Category slicer selection.
Please suggest if there is any workaround or alternate approach to get result for my requirement. Learn more. Asked 1 year, 8 months ago. Active 1 month ago. Viewed 10k times. Currently facing similar issue explained below in my product development. I have created power bi modle with below dimensions and facts from adventureworksDW. James Z Rajendra Rajendra 19 1 1 gold badge 1 1 silver badge 3 3 bronze badges.How can we create a date dimension table in Power BI?
We need data such as month name, year, financial quarter, etc. Also, how can we access this data directly with DAX? A date dimension is an integral part of a data warehouse. In this approach, I will make use of a Power BI calculated table to generate date values. The calendar function returns a table with a single column that contains a continuous set of dates. The start and end date range will be supplied as parameters.
Creating a Date Table in Power BI
The following formula returns a calculated table with dates between January 1st, and December 31st, I will be using the Calendar function to generate date values. In this example, I will be creating date values between 1st January and 31st December This function accepts start and end dates as parameters.
Once updated, the Power BI will generate the date values in the query. I have provided the DAX expression for each attribute below. The data in the calculated table is self-contained and source independent. Based on the configuration of start and end date, the date range can be extended easily. Hence this approach is ideal for reporting and analysis purposes. Post a comment or let the author know this tip helped.
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I have read the privacy statement and understand I may unsubscribe at any time. I am currently all over DAX expressions and the computed calendar table at present