Understanding Different Types of Filters in Power BI

Filters in Power BI

There are different filters that are present in the entire system of Power BI. Describing Power BI, it can be said that it is a proper application that is a part of the Microsoft Power Platform.

So, proceeding with the different filters of the Power BI platform, the main goal here is to sort through different pieces of information as well as huge amounts of data on the basis of different parameters. Users will be allowed to pick and select the different values and fields on the basis of which the information should be sorted out.

Different Filters Available in MS Power BI

In this portion of the article, we are going to talk about the different filters that are present in the Power BI platform. These filters help in the intelligent sorting of data in order to create amazing and learned insights that can help in the process of decision making. Hence, the Power BI filters are definitely a pretty important part of the entire Power Platform for sure.

  • Report-Level: Now these are the filters that are able to provide an influence over all the data that is mentioned in the report. It doesn’t matter what field or what value the user has selected. The report-level filters are also called universal filters by the users. Here is a pretty good example. In case the report has about 10 different pages, you will be able to properly utilize this filter in order to easily go through these pages individually without any hindrance.
  • Page-Level: Now these are the filters that are actually helpful when it comes to designing the pages that have the main focus on different subsets of the data that has been collected. The reason behind this is the fact that these filters are able to sort through the data that has been mentioned on that particular page. Here is another example to prove the point.

These amazing page-level filters can be used in order to create focus on just one page such as Income data while the second page can be used for focusing just on the spending information and data. These filters tend to work properly inside a particular framework of the report-level filters. So, this technically means that these filters will not be able to negate the use of the filters in the report-level when used with MS Power BI.

  • Visual-Level: Now when it comes to the visual-level filters, these tend to have an effect on the data that is presented as a single visual such as a graph, card, table, slicer, and others. Hence, these filters are considered to be counted amongst the most comprehensive and amazing filters that you will easily be able to apply with the data that you have.

One thing about these filters is that they tend to work completely in conjugation with report-level as well as page-level filters. Hence, it is not possible for the filters of the visual level to ignore these other filters since the former will not be able to filter the whole data by itself. Let us make a point with an example. In the case of visual-level filters, a pie chart can be presented properly with certain markets that are deemed to be important.

  • Drill Down: The case of Drill-down filters is pretty simple as well. These are the ones that tend to be automatically added to any particular filter pane when the users are trying to use the drill-down function for placing a visual in any report. For those who are able to properly modify the report without any trouble, it is also easy to make changes in the filter or remove it completely.

What Does Cross-Filtering Mean?

This is basically one of the main features that come forth with Power BI Implementation. This amazing feature of the Power BI system can help in the removal of all the information and data except the part that is in your primary focus. Hence, you will be able to redraw an entire chart with the parts that you want when you are using this particular filter. It is surely a very integral part of the Power BI system and hence is widely used by the people.

Different Filter Modes in Power BI?

When you are trying to access the different Power BI services, there are the most important parts that need to be in your focus for sure. Filtering can help with that and for that purpose, the use of Power BI filters is definitely crucial for sure.

In order to know about filtering properly, first, you need to gather some information regarding the modes of filtering that comes forth with the Power BI filter. While these filters can be used properly for sorting through the data, it is actually the mode of filtering that will decide the efficiency of the entire process of filtering the data for sure.

So, this is surely a very big deal if people got to know about the filtering modes before they used the Power BI filters for efficient and effective sorting of data. Talking about filtering modes, there are 2 different types. One of the filtering modes is called Basic and the other is called Advanced filtering. In the next portion, we shall have an important discussion about these two different modes of filtering in Power BI.

  1. Basic Filtering

With the assistance of Basic filtering options, the users will be able to get a proper extendable and searchable list. All that is to be done is the insertion of a perfect identifier or any term into the filter’s search box and then the users can look for the value. There are also some important lists of values that are already available and effectively updated on the basis of the important search keywords that have been entered by the users.

  1. Advanced Filtering

With Advanced Filtering mode, users will be provided with an effective and more precise regulation over the filtering process. On the basis of the column types, there might be different variations of the advanced filtering mode.

Conclusion 

Microsoft Power BI is an efficient system from Microsoft Power Platform and has been used as a dedicated technology for the improvement of business operations. With Power BI filters and Power BI Services, companies can utilize the full power of the system to automate and improve business processes.

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