Subscribe To Our YouTube Channel

We all like to use shortcuts in our daily usage of various programs. For some people it’s easy access to various programs operations that can not be easily accessed, while for some, it’s a display of knowledge and competitiveness with friends or colleagues.

Either way, like most programs have various inbuilt shortcuts so does, Power Bi desktop too. For the purpose of this write-up, we will be looking at Seven (7) Power Query Shortcuts and Functionalities.

Let’s Go!!!

1) Deleting Columns in Power Query

Basically, in Power Query when you want to remove a column, what you need to do is to right click on the column, then select remove column or use the remove column function under the home tab.

In a case when you have several columns to remove, you hold down the CTRL key and use your Mouse to select the Columns to delete, right click and remove columns or use the function under the home tab and delete. Sounds good right? But all these could be done by simply using the Delete Key (Select the column to delete and simply use the delete key). 

2) Zoom (In, Out and Default View)

You want to see a text, number or value bigger and clearer? Power Query solves these problems by using these keys

  • Zoom in – CTRL + Shift and +
  • Zoom out – CTRL + shift and – 
  • Default view – CTRL and O

3) Adding Column(s)

While Working with Power Query, and you want to add a column to your data set using a column as Example, what you need to do is 

    1. Go to the add column tab 
    2. Select a column from your data set
    3. Click on column by Example
    4. Choose from Selection
    5. Type a set of values from the data set in any of the columns and Power Query will investigate the set and fill all columns based on the inputted values.

Well as fun that as that can be, just a simple CTRL+E would have simplified all these processes

Type in your desired value and Click CTRL+ Enter

4) Searching For Columns

Looking for a column in power query can be very stressful, because you must scroll right or left and stress your eyes looking at headers to identify the column you need.

Next time when you are on Power Query and come across this problem, kindly use  CTRL+ G to either search or choose from a list of all columns.

5) Editing headers

If you want to edit a header in Power Query, what you need to do is select the column, right click on the column, go to rename and change the header. 

Now, a faster way is to simply use the F2 key after selecting the column to edit header.  

6) Navigate Select/ Unselect Columns

Navigating through Power Query using the scroll bar can be very tedious and stressful. So instead of using the scroll bar, you could easily scroll through using the Arrow keys on your keyboard.

And if you want to select multiple columns, all you have to do is to hold down the CTRL key + left or Right Arrow key, then click CTRL+ Enter key to select any column of your choice. To unselect a selected column simply use the space bar key.

7) Change Data Type

There are several ways to change a data type in Power Query, so if you want to change the data type of a column, let’s say from Text to Number. One way is to 

  1. Select the column right click and select change type and choose your desired data type
  2. Go to transform tab, select data type from list of functions under the tab and click enter
  3. Under the home tab, we can see data type 
  4. To click on the right-hand corner of the selected column and change data type

Using keyboard function: CTRL+ Down Arrow key

If you find it difficult mastering shortcuts at first, most of us find it difficult anyway and we feel it actually slows us down because of time it takes to either remember the right key strokes or the time it takes to strike them on the keyboard. Here’s my advice, take the pain of being slow now to master the strokes. In the long run, it pays so much and you will recover all the lost time from the beginning.

Hi, my name is Akeem Hussain. I am an enthusiast of data science with a keen interest in data analytics. My passion for data analytics fuels my quest for knowledge & self development in the use & application of Excel, Python and Power BI. My LinkedIn Profile

Leave a Comment

Your email address will not be published. Required fields are marked *

*
*