The charts will show you either one or the other, but not both together, because these are two separate random samples. Real time is a random sample of searches from the last seven days, while non-real time is another random sample of the full Google dataset that can go back anywhere from 2004 to ~36 hours ago. There are two ways to filter the Trends data: real time and non-real time. Use the tool and you can see search interest in a topic or search term over time, where it’s most-searched, or what else people search for in connection with it. You can do it, too - the free data explorer on Google Trends allows you to search for a particular topic on Google or a specific set of search terms. This allows us to measure interest in a particular topic across search, from around the globe, right down to city-level geography. It’s anonymized (no one is personally identified), categorized (determining the topic for a search query) and aggregated (grouped together). Trends data is an unbiased sample of our Google search data. So when a big news story happens, how can you best interpret this data? What is Trends data? Examining what people search for provides a unique perspective on what they are currently interested in and curious about. The vast amount of searches - trillions take place every year - make Google Trends one of the world’s largest real time datasets. ![]() What is Google Trends data - and what does it mean?Ī little more than a year ago, we made Google Trends data available in real time and increasingly, it’s helping people around the world explore the global reaction to major events.
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