005. google trends: spotting search patterns (ks3)
Explore Google Trends to analyse real-world search data, discovering what the world is thinking.
Have you ever wondered what the most popular video game in the world is right now, or what questions people are asking during a major news event? Google keeps a record of everything we search for. In this lesson, we will use Google Trends to analyse real-world data, spotting fascinating patterns and seeing exactly what the world is thinking about.
Surfing the Zeitgeist: A Deep Dive into Google Trends
What is Google Trends?
Imagine you could see a graph of the entire world's curiosity. That's essentially what Google Trends is. It's a free, public website created by Google that shows how often a specific search term is entered into their search engine over a given period of time. It doesn't show you the raw number of searches (that would be a massive, messy number!), but instead plots the term's popularity on a clean, simple graph. It is one of the most powerful tools for understanding the zeitgeist - a German word meaning "the spirit of the age".
How Does it Work?
When you look at a Google Trends graph, you're not seeing millions of searches. Instead, the data is anonymised (all personal information is removed) and then normalised. This means Google finds the point where the search term was most popular (its peak popularity) and gives that point a score of 100. Every other point on the graph is then scored relative to that peak. A score of 50 means the term was half as popular as it was at its peak. This clever system makes it incredibly easy to compare the popularity of different topics, even if one is searched for millions of times and the other only thousands.
Spotting Patterns and Telling Stories
The real magic of Google Trends is in finding patterns. An analyst can look at a graph and instantly understand a global story. There are a few common types of trends:
Cyclical Trends: These are patterns that repeat over time. For example, searches for "World Cup" will see a gigantic spike every four years. Searches for "Christmas presents" will spike every December.
Long-Term Trends: This shows a topic becoming more or less popular over many years. For example, searches for the social media app "TikTok" have shown a huge upward trend since 2018, while searches for "Facebook" have slowly declined.
News Spikes: These are sudden, sharp spikes in interest that happen when a major news story breaks. For example, a search for a specific volcano would spike dramatically on the day it erupts.
Why Do Analysts Care?
This data isn't just for fun; it's a vital tool for professionals. Businesses use it for market research, helping them decide when to launch a new product. Journalists use it to see what topics the public are most interested in, helping them find new stories. Even public health officials can use it to track search trends for flu symptoms to predict where an outbreak might be happening. By analysing these patterns, we can turn a simple line on a graph into powerful, actionable knowledge.
Plugged Task: The Trend Tracker's Report
A major online news website has hired you as a Junior Data Analyst. Your first task is to investigate the public interest in two competing topics over the last year. They want a one-page report that compares the trends and explains what the data is telling you.
The Persona
You are The Analyst. Your job is not just to show the data, but to interpret it. Look for the story behind the numbers. Why did a trend spike? Which one is more popular overall?
1
Access the tool
Your primary tool is Google Trends. You will need to use its interface to gather all the evidence for your report. You can access the tool here: Google Trends.
2
Choose your trends
Decide on two competing things you want to investigate. A good comparison makes for a good story.
Examples:
Gaming: "PlayStation" vs "Xbox"
Social Media: "TikTok" vs "Instagram"
Entertainment: "Marvel" vs "DC"
Sport: "Premier League" vs "Champions League"
Enter your first search term in the box and press Enter. Then, click on + Compare and add your second term.
Act as a data science teacher. Explain the concept of data normalisation on a scale of 0-100 for a KS3 student. Use a simple analogy like a video game high score table. Limit your response to 100 words. Keep the tone simple and encouraging. Use bullet points for the key steps. NO intro, NO outro, NO deviation from the topic, NO follow-up questions.
3
Set your parameters
Data is only useful in context. We need to make sure we are looking at the right time and place.
Just below the search terms, find the location button. It probably says "Worldwide" by default. Change this to United Kingdom.
Next to that, find the time range. Change this from "Past day" to Past 12 months.
4
Analyse the data
Now you're an analyst! It's time to find the story. Look at all the information on the page.
Interest over time: Look at the main line graph. Are there any big spikes or dips? Hover your mouse over them to see the date. Can you guess what might have caused a spike (e.g., a new game release, a movie premiere)?
Interest by region: Look at the map of the UK. Is one of your topics more popular in England than in Scotland?
Related queries: Scroll down to the tables at the bottom. This shows you what else people were searching for. This is a great way to understand why a trend might be popular.
5
Write your report
Open a word processor (like Microsoft Word or Google Docs) and create your one-page report.
Title: Give your report a clear, professional title (e.g., "A Data Analysis of PlayStation vs. Xbox Search Trends in the UK").
Introduction: Write a short paragraph explaining which two trends you chose to investigate.
Evidence: Take a screenshot of your Google Trends graph and paste it into your document.
Analysis: Write two or three paragraphs explaining what your data shows. Point out any interesting spikes, compare the overall popularity, and use the 'Related queries' to support your ideas.
Conclusion: Write a final short paragraph summarising your findings. Which trend was more popular over the last year, and what is your main piece of evidence for this?
Outcome
Your final submission is a professional, one-page report.
The report contains a clear title and a screenshot of your evidence.
Your analysis explains the patterns in the data, not just describes them.
Your conclusion is a clear summary supported by the data you have presented.
Unplugged Task: The Trend Forecaster's Doodle
On a piece of plain paper, you are going to predict the future!
1
Choose a single search term for an event that you know is coming up in the future. This could be anything from the release of a new movie or video game, a major sporting event like the Olympics, or a seasonal event like "Halloween".
2
Draw a simple graph. The horizontal axis is 'Time' (over the next 12 months) and the vertical axis is 'Search Interest' (from 0 to 100).
3
Now, sketch the line graph that you predict the search interest will follow. Will it be a single massive spike? A gradual rise? A repeating pattern?
4
Annotate your drawing. Next to every key spike or dip on your graph, write a short note explaining why you think the interest will change at that specific time. For example, "Spike here because the movie trailer is released" or "Goes down here because the school holidays have ended".
Last modified: June 25th, 2026
