Articles in this section
Category / Section

Master-Slave Filtering in Data Visualization

Published:

Data visualization tools often provide a feature known as Master-Slave filtering. This feature allows users to filter data in one widget (the slave) based on the selection in another widget (the master). This can be particularly useful when you want to display detailed information for a specific data point in your dataset.

In this article, we will walk you through the steps to set up a Master-Slave filter with a custom option for your filtering. This will allow you to click on a name in a bar chart (the master) and display a line graph (the slave) with a monthly breakdown of all years associated with that name.

Steps to Set Up Master-Slave Filtering

  1. Drag the bar chart and line chart and assign data for your requirement.

    Start by setting up your bar chart and line chart with the necessary data. The bar chart will serve as the master widget, while the line chart will be the slave widget.

  2. Open the filter configuration window and add the master widget as bar chart and slave as a line chart.

    Once your charts are set up, open the filter configuration window. Here, you will need to add the bar chart as the master widget and the line chart as the slave widget.

  3. Choose the custom option in the master-slave filter configuration window and remove the Year column from the list.

    In the master-slave filter configuration window, select the custom option. This will allow you to customize the filter based on your specific needs. In this case, you will need to remove the Year column from the list. This field was used in the Row of the bar chart.

    image.png

    image.png

  4. Click the person in the bar chart.

    Now, when you click on a name in the bar chart, the line chart will display the month counts across multiple years for that person.

    image.png

By following these steps, you can set up a Master-Slave filter that allows you to display detailed, person-specific data across multiple years. This can be a powerful tool for comparing data year over year.

References

Was this article useful?
Like
Dislike
Help us improve this page
Please provide feedback or comments
RM
Written by Reethika Moovendhan
Updated
Comments (0)
Please  to leave a comment
Access denied
Access denied