How to apply local table level filters

Applying local table-level filters is a powerful way to slice and dice your data within a specific dataset. These filters allow you to focus on a subset of data that meets specific criteria, providing a more detailed and tailored view.

Applying Local Table-Level Filters:

1. Open the Data Table:

   • Navigate to the data table within your application or analytics platform where you want to apply filters.

2. Identify Columns for Filtering:

   • Determine the columns (attributes or dimensions) in your dataset that you want to use for filtering. These could be categorical or numerical variables.

3. Select Columns to Filter:

   • Choose the columns you want to filter by. For example, if you have a "Date" column, you might want to filter data for a specific time range.

4. Define Filter Criteria:

   • Specify the filter criteria based on your requirements. This could include selecting specific values, setting a date range, or defining a numerical range.

5. Apply Filters:

   • Once you've set the filter criteria, apply the filters to the dataset. The table will update to display only the rows that meet the specified conditions.

6. Review Filtered Data:

   • Take a moment to review the filtered data. You should now see a subset of information that aligns with the criteria you set.

7. Modify or Remove Filters:

   • If needed, you can modify or remove filters to adjust your view of the data. This flexibility allows you to interactively explore different aspects of your dataset.

Example Use Cases:

• Time-Based Filtering:

  • Filter data to show only records within a specific date range.

• Numeric Range Filtering:

  • Narrow down data based on numerical criteria, like sales values within a certain range.

• Text-Based Filtering:

  • Filter data to include only rows that contain specific keywords or text.

Text Filter :

Open

Status Filter :

Open

Numeric Filter :

Assignee Filter :

Date Filter :