Which is a benefit of filtering data for analysis?
- To sort it by degree of importance.
- To aggregate data into useful chunks.
- To quickly identify statistical outliers.
- To hide non-relevant information.
In YouTube, you can use free analytics and use various reports available for analysis. When you need to answer a question the first thing you need is to focus on the right data which only shows the information you need. This will help you to decide what really matters. This is where filters become very handy.
For example, if you need to determine whether a video is likely to be more popular with 17-34 years old 34-45 old males, one of your very first steps should be to rule out female viewing trends from the dataset. That’s can be done with filters. Also, you can filter data by the uploader, viewer type, content type, and viewing platform.
So, to answer the question which is a benefit of filtering data for analysis don’t require any YouTube knowledge. It’s obvious that the purpose of filtering data is to exclude irrelevant information. No matter which data analysis tools you use.
Learn more on the official Google support website.