Difference between Filter pane, Slicers & Cross Filtering In the case of a filter window, the name from the data model will always be used. Slicers can also be given a name that more accurately suits the context in which they will be utilized.įor example, if the data model has a product table, we can filter by items bought, sold, in stock, or manufactured products, depending on the report. They can take the form of checkboxes, a horizontal orientation bar, a list, a drop-down menu, sliders, and other elements. Furthermore, filters are only available in basic and advanced layouts, but slicers have their own set of visualization templates. The filter window, on the other hand, is fixed to the right side of the report workspace and cannot be moved at the moment. If the slicer and another display, such as a chart, are closely related and this layout is more logical for the user, it is sometimes important to position them close together when constructing reports. This is a huge benefit and a huge disadvantage at the same time. Slicers and filters are both to be applied on data pertaining to visual, thus they have the same flexibility of movement as the other visualizations on the report. This is justified when the periods are tailored - for example, we wish to compare sales from the last weekend before Christmas on one screen with sales from last Thursday. This method makes it simple to construct a mechanism that compares sales from periods 1 and 2. Slicers are the sole way to customize this visual interaction filters cannot create the same effect. You may use this functionality to configure the slicer so that it doesn’t affect our selection of some items while filtering out the rest. The “ Edit interaction” in “Format” can be used to control this. Users can fine-tune the impact of the slicer on other visualizations in the report using Power BI. For example, on the first tab, the user picks the client segment in which he is interested, then moves on to the second tab, where he examines the products, they buy and selects the product categories of value to them that have been purchased by previously defined consumers.Īfter deciding on the categories of interest, the user can proceed to the third screen, where he can examine allowed discounts and profit margins achieved in previously selected segments on defined products. You can use this option to create a consistent history on a report with multiple tabs that we will guide the user through. This gives you a lot of freedom and makes solving unique modeling challenges a breeze. Slicers, in turn, allow you to pick which party reports to filter and which page is displayed to the user by utilizing the selective sync option (tab “View” -> option ” Slicers synchronization “). Even though the filtering window can cover most of our fundamental data filtering needs in visualization, there are a few instances why we might still prefer to use slicers when building reports.įilters can now be applied to a single visualization, all visualizations on a page, or the full report (visual level, page level, and report level filters). Slicers take up an important real estate on report page, but they don’t appear to provide enough value to be chosen before filters. With some similarities & differences let’s find how slicer vs filter work in Power BI. Furthermore, it appears that the advanced setting filters offer far more versatility than the original slicer. A similar option is available in the filter panel, which includes relative date filters. It enables you to specify a specific range of days, such as today or yesterday, current or previous year, etc., without having to specify a specific range of days. You can use traditional controls like the checkbox or complex date slicers like the relative slicer. At the most basic level of formatting, the distinction between filters and slicers is obvious.
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