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Filters |
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The filters window allows you to manage the filters for the current data source.
To open the filters window:
Adding filters To add a filter, click on the This will open the filter dialog:
In the first drop down list at the top, you can choose if you want to only show results meeting the specified condition or remove all results that meet the specified condition. Next you need to select the column that you want to define the filter on. You can select a column from the list of columns. The middle drop down list allows you to choose the type of filter you want to use. See the list of filter types below for a description of the types. On the right hand side you can edit the value(s) to filter on. This can either be a whole or floating point number, depending on the underlying measure of the column you want to filter on. Note: when defining the values for 'In' type filters, the various comparison values should be separated with semicolons (;).
If you want to add another filter click on
And/Or By default, all conditions specified must be met, i.e. they are "Anded". If only one of the specified conditions needs to be met, you can change this clicking on the "And" and choose "Or" from the menu. This mechanism can be used to create much more complex condition groups.
Order The conditions are applied in the order they appear in the list. This means that a condition will always be applied to the result of the previous condition in the list (if present). You can change the order of the filters using the The following types of filters are supported:
Editing filters A filter can be edited by:
This will open the filter in the filter dialog window as shown above. Removing filters Individual conditions or condition groups can be deleted by selecting the condition or group and pressing the Delete key or clicking on the To delete all the conditions at once, click the Example If you want to see all the data for a specific slice with a Internet Sales Amount greater than 5 million or the top 4 values for Internet Order Quantity, the filter will look like this:
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