If we have data for products and we want a unique identifier for each product name in the list. But as you can see below each product appears multiple times in the data table. Create Grouped Serial Numbers In Power Query But we want to keep the same serial number for the product each time...Read More

The Power Query M language allows you to create a list containing a sequence of numbers or characters very easily. This is possible when you are defining lists by using expressions in the format- Create A Sequential List With Power Query {lowest_integer..highest_integer} Let us take an example to understand this feature. Step 1: Add Custom...Read More

While using Power Query, you might’ve come across a step that reads ‘Navigation’  in Applied Steps pane and it is automatically created by Power Query. But, do you know what it is used for? Navigate Query Editor Using Power Query The code generated by this step is = Source{[Item=”Sheet1″,Kind=”Sheet”]}[Data] This is one of the ways...Read More

Power Query also allows you to edit a query that you have already generated. Let’s take an example. Suppose you have a data table as shown below. Editing A Query By Power Query This is an employee data and you have to create the post for each employee based on their experience given in the...Read More

This is another feature of Power Query that will speed up your queries. When you load your data into the data model from power query, Excel will try to find and build relationships between the new data and other tables in the present in the data model. Thus, it will take extra processing time and will...Read More

If you want to delete some steps, you can do it in one shot. The Power Query Delete Until End feature helps to delete as many steps up to the end in one click. Delete Steps Until End By Power Query Let us understand this feature with the help of an example. Step 1: Load...Read More

Power Query can perform a lot of complex steps with any kind of data source. However wouldn’t it be fun unless you understand what is happening under the cover. Advanced Editor With Power Query Let’s go through the steps in detail to understand the magic of Power Query. Step 1: Load the data into Power...Read More

Sometimes it happens that the things we want to do are not built in the user interface.  But Power Query’s programming language M has made this possible. Data Type Conversion With ‘M’ Using Power Query One of the unique functionality of M is that it takes data types very seriously. If we try to concatenate a text...Read More

If you want to use the Excel LEFT Function in Power Query, then you can’t directly go for it. This is because the Excel LEFT Function it is not supported in M. Use Excel’s Right Function With ‘M’ To Extract Left Side Data But there is an alternate way for using the LEFT Function in...Read More

If we want to use the Excel’s RIGHT Function, it is not possible as it is not supported in M. But we can use the RIGHT Function in M in other way using Power Query and the Text. End formula! Use Excel’s Right Function With M To Extract Right Side Data Let’s see how to...Read More

If we want to use the Excel LEN Function to get the length of strings, it is not supported in M. Let us see how to use the LEN Function in M to get the length of strings. Get The Length Of Strings Using M Step 1: Select the Name Column First, load the data...Read More

In the above example, you learned how to concatenate the columns using the M language. Unfortunately, not all of the Excel’s formulas can be used in M query. Replicating Excel’s Right Function With ‘M’ Using Power Query For instance, if we want to use the Excel’s FIND Function to find a specific character in the...Read More

There are times when we want to perform such tasks that are not built in the user interface i.e. features that are not available on the ribbon. But still, this can be possible with Power Query’s programming language which is called M language. Concatenate Datausing ‘M’ With Power Query Initially, we will do a simple...Read More

Sometimes we need to transform the text from a huge data table which is not directly possible. But, with Power Query, you can easily do it using Add Column from Examples feature. Add Column From Examples By Power Query Step 1– Select the column on which you want to apply changes Suppose you have a...Read More

In Power Query, there is a feature to add a new column called Conditional Column feature. You can define IF-THEN-ELSE conditions to add the conditional column. When the conditions are fulfilled, the conditional column will automatically demonstrate the values that you have specified using IF-THEN-ELSE conditions. Add Conditional Column Using Power Query Let’s take an...Read More

As you can import the data from CSV, the same way you can import the data from the text file. The reason is that Power BI provides the same option to import the CSV file as well as a text file. Let us understand this with the help of below steps. Import Data From Text...Read More

Now you know how to import data from an XML file in Power Query. But what if your data source is in the form of CSV file? There is no need to worry if you have your data inside a CSV file (Comma Separated Values). This is because it’s very easy to import data from CSV...Read More

You can easily load the data files like Excel spreadsheets in Power Query. But what if your data source is not in Excel spreadsheet? Import Data From XML Using Power Query It’s very usual nowadays to get data from a company’s accounting or sales system in the XML format. If the data is inside an...Read More

The good thing with Power Query is that there are multiple ways to pull in data. Import Web Data Using Power Query One of the way is to get data from the internet by using the importing web data feature.  Let us see how we can parse a webpage and use it for Power Query....Read More

Filter records is a feature of Power Query that allows you to filter the data from your data table. Let’s see how to filter the records in Power Query with an example. Filter Records By Power Query Step 1: Load Data in Power Query Sometimes the data table is too huge and you do not want...Read More