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      <title>Make Your Own AI Prompt by Josh Wynn Lim</title>
      <link>https://padlet.com/joshwynnglim/cbgi53ad1vuzif5j</link>
      <description>Why make it difficult for yourself to do Analytics when AI is one of the most powerful tools out there to analyze information for you right now! This activity implores you to make an AI prompt that would be effective in analyzing the data Suzy and we have been dissecting over the last few segments. </description>
      <language>en-us</language>
      <pubDate>2025-08-15 06:56:40 UTC</pubDate>
      <lastBuildDate>2025-08-15 08:00:02 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <title></title>
         <author>joshwynnglim</author>
         <link>https://padlet.com/joshwynnglim/cbgi53ad1vuzif5j/wish/3544052712</link>
         <description><![CDATA[<p><strong>Instruction:</strong><br>Compare February and May sales to find why <strong>May peaked</strong> and <strong>February dipped</strong>. Use <strong>Payment Method and Age Band</strong> to identify the biggest shifts and briefly explain why each change matters.</p><p><br/></p><p><strong>Context:</strong><br>File: Customer_Transactions_Sample_Modified_v3(Data) (2).csv<br>Columns: <strong>Purchase Date, Sales, Product Category, Payment Method, Region, Age Band, Gender, Promo Used</strong>. Focus on <strong>2024</strong>, Feb vs May only.</p><p><strong>Format:</strong><br>For each segment, give a mini table (segment, Feb sales, May sales, % change) + <strong>1 short bullet</strong> on the top mover. End with <strong>3 quick “Overall Drivers” bullets</strong> ranked by impact.</p>]]></description>
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         <pubDate>2025-08-15 07:10:44 UTC</pubDate>
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