Have you ever wondered “why do I have blank values in my Power BI Report?” In this video Mitchell will show how to identify blank values in Power BI and then how to fix this issue by cleaning up your dimension tables using the Power Query Editor!
Understanding and fixing blank values in Power BI is a process that involves identifying any blank or missing values in a dataset, understanding the source of the blank values, and then using the appropriate methods to fix the blank values. Blank values can be caused by a variety of reasons such as data errors, data corruption, missing values, or incorrect data type.
To identify blank values, Power BI has a variety of tools, including the Table and Matrix visuals, the Data Profiling and Data Quality tools, and the Power Query Editor. Once the blank values have been identified, it is important to understand the source of the blank values and the appropriate method for fixing the blank. This could involve removing the blank values, replacing them with an appropriate value, or using a calculated column to fill in the blank values.
It is important to note that some blank values may be valid, and should not be changed or removed. For example, empty cells in a column may indicate that a customer has not yet purchased a certain product. In this case, the blank value should be left as is and not replaced with any other value.
Finally, it is important to ensure that all blank values are handled consistently across the entire dataset. This will help ensure that the data is reliable and consistent, and avoid any issues that could arise due to incorrect or inconsistent data.
Missing: fixing | Must include: fixing
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7 key moments in this video
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