Individual vs. "Global" Filters

So when should we use individual filters and when should we take advantage of global filters? Individual filters are great when you want to apply filters on a case by case basis. Here we can see from a single data table, each visual is linked to its own filter. In this data example, although each visual is linked to the same data table, this one will filter by artist name, and this one won't filter by updated after. So even though we don't have a common filter here, there's an individual filter which could be used as the ideal choice. However, say for example we wanted to filter everything downstream from the data table by one filter, for example by a date range, country, or currency. So this is where we'd use a global filter. Have a look at our video on how to get started in our help guide. If we have a look at this example here, we've added a global filter in so everything downstream can be filtered by artist ID. With a global filter you can add it once and there's no need to connect it to each individual source. This visual uses both an individual and a global filter, which you can visually see here by the different colours. So it can be automatically filtered by artist ID, but individually filtered on updated by date. This provides you with options to filter depending on the best use case for your data.