Transform Tab in Query Editor: Transpose, Reverse Row and Count Rows in Transform Tab of Query Editor in Power BI: Lesson-7 P-2

IT 24.02.2024 0 Comments Add to Reading List

TransformTab of Query Editor in Power BI: Transpose, Reverse Rows, and Count Rows Lesson-7 P-2

The Power BI Query Editor offers a versatile set of tools to transform your data before analysis. Here's a breakdown of how to use three specific options:

1. Transpose:

Purpose: Swaps rows and columns, effectively rotating your data table by 90 degrees.
Steps:
1. In Power Query Editor, select the table you want to transpose.
2. Select "Transform" tab and select "Transpose".
- then you have view after change columns into rows
Use case: You might have a table with product names in rows and sales figures in columns. Transposing would create rows for each product, with columns representing different sales metrics.

2. Reverse Rows:

Purpose: Flips the order of rows in your table, placing the last row at the top and vice versa.
Steps:
1. In Power Query Editor, select the table you want to reverse.
2. Go to the "Home" tab and click the "Reverse Rows" button.
- After Reverse Rows option use
- You have
Use case: This can be helpful when you want to analyze data from the latest to the earliest timeframe, or if your data was imported in reverse order.

3. Count Rows:

Purpose: Calculates the total number of rows in your table.
Steps:
1. In Power Query Editor, select the table you want to count.
2. Go to the Transform Option from main menu
3. Click on Count Rows option
- Then you have
Use case: Knowing the number of rows can be helpful for various tasks, such as checking data completeness or calculating percentages.

Additional Tips:

You can combine these transformations to achieve more complex data manipulation. For example, you could transpose a table, reverse the rows, and then count the number of rows in the resulting table.
Remember that these transformations modify your data. It's recommended to work on a copy of your original table to avoid unintended changes.
Consider using the "Preview" option to see the results of your transformations before applying them permanently.

By understanding and applying these transformation options, you gain greater control over your data in Power BI, enabling you to prepare it for insightful analysis and compelling visualizations.