team_hopper/index.html at master · philipstubbs13/team_hopper · GitHub

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<!DOCTYPE html>
<html lang="en">
<head>
  <meta charset="UTF-8">
  <meta name="viewport" content="width=device-width, initial-scale=1.0">
  <meta http-equiv="X-UA-Compatible" content="ie=edge">
  <title>YouTube Trending Video Analysis</title>
</head>
<body>
  <h1>YouTube Trending Video Analysis</h1>
  <div style="display: flex; width: 50%">
    <img src="https://marketingland.com/wp-content/ml-loads/2017/08/youtube-logo-1920-800x450.jpg" alt="YouTube Logo" style="width: 200px;" />
    <p style="margin-left: 20px;">
      Data analysis of YouTube trending videos. Using a public dataset powered by the YouTube API, this project uncovers some key observations and insights into trending videos in the US and around the world for one of the largest search engines and one of the largest social media platforms.
    </p>
  </div>
  <hr style=" margin-top: 20px;">

  <div style="width: 50%">
    <h2>About the Project</h2>
    <p>
      YouTube is one of the largest search engines and one of the largest social media platforms. It is used by people all over the US and around the world. People use YouTube for a variety of reasons, such as watching music videos, learning how to do something new, watching sports highlights, or just watching random videos for entertainment. Because of the popularity of YouTube, we decided to dig a little deeper into some of the characteristics that videos (in particular, trending videos) share. After gathering the information, we used that data to uncover some observations into what makes up a trending video and some insights for how a YouTube creator can improve their viewer engagement (likes, comments, dislikes, etc).
    </p>
  </div>
</body>
</html>