- Modify
- Include
- Restore
- Exclude
The correct answer: Restore
Applying filters within Google Analytics data views has the effect of either constraining or adjusting the presented data. For example, the filters feature can be utilized to eliminate traffic originating from specific IP addresses, thereby incorporating only data pertinent to distinct directories and subdomains. Conversely, this functionality can also be employed to transform dynamic webpage URLs into more legible text strings.
However, a notable drawback associated with the application of filters in Google Analytics lies in their comprehensive data modification. These filters not only completely reshape and modify the data but also dictate which data is encompassed or omitted, constituting a form of data alteration. Consequently, utilizing filters within Google Analytics results in a complete overhaul of the data.
Given that applying filters leads to data transformation within Google Analytics, experts commonly advocate for utilizing unfiltered data views. This approach ensures consistent and comprehensive access to datasets within Google Analytics. This article primarily focuses on delving into the realm of filters within Google Analytics.
What Is Not A Filter Setting For Data In Views?
In Google Analytics, the primary filters encompass exclusion, modification, case alteration (lowercase/uppercase), search and replace, as well as Advanced options. From the choices provided in the aforementioned question, it becomes evident that “restore” is not among the filter settings applicable to data views in Google Analytics.
Nonetheless, you possess the capability to generate and oversee filters at both the view and account levels. According to Google Analytics, “You can craft filters at the account level and subsequently implement them across one or multiple views. Filters can also be established at the view level, exclusively affecting that specific view, while retaining the ability to manage account-level filters that have been applied to the view.”