Firstly, you need to ensure that your date column is recognized as a date type in Power BI. To do this, select the date column in the Fields pane and go to the Modeling tab. From there, you can choose the data type as ‘Date’.
Next, you can create a new column to extract the month from the date. To do this, go to the Modeling tab and select ‘New Column’. Use the following DAX formula to extract the month:
MonthName = FORMAT([DateColumn], "MMMM")
This formula will create a new column with the full month names.
You can also create a column with abbreviated month names by using the following formula:
MonthNameAbbreviated = FORMAT([DateColumn], "MMM")
Now that you have created the month columns, you can arrange them in any preferred order. To do this, go to the ‘Fields’ pane and drag the ‘MonthName’ or ‘MonthNameAbbreviated’ column to the desired location on your report canvas.
If you have a date slicer or filter, you can use it to filter the data by specific months. This way, you can further arrange and analyze your data based on the selected months.
Finally, you can enhance the visual representation of the months by formatting the visual itself. You can adjust the font size, color, or alignment to align with your report’s styling.
By following these steps, you can easily arrange and visualize your data based on months in Power BI. Play around with the available options to customize the visual appearance and functionality as per your requirements.
