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  1. GOOGL - Alphabet Inc.

    Yahoo Finance

    104.75-0.85 (-0.80%)

    at Fri, Mar 24, 2023, 9:32AM EDT - U.S. markets close in 6 hours 28 minutes

    Nasdaq Real Time Price

    • Open 105.06
    • High 105.32
    • Low 104.71
    • Prev. Close 105.60
    • 52 Wk. High 143.79
    • 52 Wk. Low 83.34
    • P/E 22.10
    • Mkt. Cap 1345.5B
  2. Web results:
  3. Google Trends

    trends.google.com

    Welcome to our data visualization project: where the Trends Data Team works with the best designers around the world to tell stories with data — and make the results open source. arrow_forward...

  4. Google Trends

    trends.google.com/trends/explore?hl=en-US

    Google Trends

  5. Google Trends

    trends.google.com.au

    Welcome to our data visualisation project: where the Trends data team works with the best designers around the world to tell stories with data – and make the results open source arrow_forward Visit OECD Weekly Tracker of Economic Activity

  6. Google Trends

    trends.google.com/trends/trendingsearches/daily

    Google Trends ... Google apps

  7. How to Use Google Trends - Google for Small Business

    smallbusiness.withgoogle.com/free-google...

    With Google Trends, you can see what people are searching for on Google, and how those searches change over time, by season, and by geographic location so you can get relevant insights into what your customers are researching online. This lesson covers best practices for using Google Trends to explore what’s top of mind for your audience and ...

  8. Trends Help - Google

    support.google.com/trends

    Explore Trends. Compare Trends search terms. Explore results by region. Find related searches. Export, embed, and cite Trends data. Refine Trends results by category. Search tips for Trends. Get started with the Google Trends dataset.

  9. FAQ about Google Trends data - Trends Help

    support.google.com/trends/answer/4365533

    Google Trends normalizes search data to make comparisons between terms easier. Search results are normalized to the time and location of a query by the following process: Each data point is divided by the total searches of the geography and time range it represents to compare relative popularity.