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    <title>topic Amazon-Data-Analysis-using-Power-BI in Data Stories Gallery</title>
    <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Amazon-Data-Analysis-using-Power-BI/m-p/4605476#M14092</link>
    <description>&lt;P&gt;This project analyzes Amazon product data using Power BI to gain insights into product ratings, discount prices, and category-based performance. The interactive dashboard helps visualize key metrics for better decision-making.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":bar_chart:"&gt;📊&lt;/span&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Key Features&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Total Ratings Analysis&lt;/STRONG&gt;: Displays the total number of ratings for all products.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Average Rating by Category&lt;/STRONG&gt;: Shows average ratings for products in each category.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Review Analysis Based on Discount Price&lt;/STRONG&gt;: Analyzes customer reviews in relation to discounted prices.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Discount Impact on Ratings&lt;/STRONG&gt;: Visualizes how discounts affect product ratings.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Category Breakdown&lt;/STRONG&gt;: Provides a hierarchical view of product categories and subcategories.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":hammer_and_wrench:"&gt;🛠&lt;/span&gt;️&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Tools &amp;amp; Technologies Used&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Power BI&lt;/STRONG&gt;: For data visualization and dashboard creation.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Amazon Dataset&lt;/STRONG&gt;: Used for analysis.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;DAX (Data Analysis Expressions)&lt;/STRONG&gt;: For custom calculations.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Power Query&lt;/STRONG&gt;: For data transformation.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="reportid hidden"&gt;eyJrIjoiMjQ5NDBmZTAtNmVkNy00ZDdhLWI2OTgtNWI3NjczNWVmNGMzIiwidCI6ImE3NjhlZmQ4LTAxYzEtNDVmMC1hMzc2LWY1YjJiNjBlMzM2MiJ9&lt;/SPAN&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 11 Mar 2025 15:56:32 GMT</pubDate>
    <dc:creator>Rufyda</dc:creator>
    <dc:date>2025-03-11T15:56:32Z</dc:date>
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      <title>Amazon-Data-Analysis-using-Power-BI</title>
      <link>https://community.fabric.microsoft.com/t5/Data-Stories-Gallery/Amazon-Data-Analysis-using-Power-BI/m-p/4605476#M14092</link>
      <description>&lt;P&gt;This project analyzes Amazon product data using Power BI to gain insights into product ratings, discount prices, and category-based performance. The interactive dashboard helps visualize key metrics for better decision-making.&lt;/P&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":bar_chart:"&gt;📊&lt;/span&gt;&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Key Features&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Total Ratings Analysis&lt;/STRONG&gt;: Displays the total number of ratings for all products.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Average Rating by Category&lt;/STRONG&gt;: Shows average ratings for products in each category.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Review Analysis Based on Discount Price&lt;/STRONG&gt;: Analyzes customer reviews in relation to discounted prices.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Discount Impact on Ratings&lt;/STRONG&gt;: Visualizes how discounts affect product ratings.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Category Breakdown&lt;/STRONG&gt;: Provides a hierarchical view of product categories and subcategories.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&lt;span class="lia-unicode-emoji" title=":hammer_and_wrench:"&gt;🛠&lt;/span&gt;️&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Tools &amp;amp; Technologies Used&lt;/STRONG&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;&lt;STRONG&gt;Power BI&lt;/STRONG&gt;: For data visualization and dashboard creation.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Amazon Dataset&lt;/STRONG&gt;: Used for analysis.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;DAX (Data Analysis Expressions)&lt;/STRONG&gt;: For custom calculations.&lt;/LI&gt;&lt;LI&gt;&lt;STRONG&gt;Power Query&lt;/STRONG&gt;: For data transformation.&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN class="reportid hidden"&gt;eyJrIjoiMjQ5NDBmZTAtNmVkNy00ZDdhLWI2OTgtNWI3NjczNWVmNGMzIiwidCI6ImE3NjhlZmQ4LTAxYzEtNDVmMC1hMzc2LWY1YjJiNjBlMzM2MiJ9&lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 11 Mar 2025 15:56:32 GMT</pubDate>
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      <dc:creator>Rufyda</dc:creator>
      <dc:date>2025-03-11T15:56:32Z</dc:date>
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