Introduction:
In today’s data-driven world, businesses need efficient tools to extract valuable insights from large datasets. Top N filtering in Power BI feature provides a powerful mechanism to analyze and focus on the most significant data points. In this blog, we will explore the capabilities and benefits of Top N filtering in Power BI and demonstrate how it enables users to uncover crucial information for informed decision-making.
Step 1:
Select the target visualization: Identify the visualization where you want to apply the Top N filtering. This can be a bar chart, column chart, table, or any other suitable visualization.
- We are using Table in our case.
- Select Table from visualizations pane.
Drag and drop the columns you want in your Table Visual.
This is how Our Table look (Before Filter)
- Set Top N in Filter type
- Set the desired N value: Specify the desired N value, which represents the number of top data points you want to display. This value can be set based on your analysis requirements or the insights you want to convey. For example, setting N to 10 will display the top 10 values.
- Choose the measure or field: Select the measure or field that will determine the ranking for the Top N filtering. This can be a numeric measure like sales, profit, or quantity, or a categorical field like product category or region.
This is how Our Table look (After Filter)
Conclusion: With Top N filtering in Power BI, users can focus their analysis on the most significant data points, enabling them to make informed decisions quickly. By implementing the techniques discussed in this blog, you can harness the power of Top N filtering to gain valuable insights, identify trends, and drive business growth. Embrace the potential of Top N filtering in Power BI and elevate your data analysis capabilities to new heights.