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      <image:title>Data Cleaning Project - Raw dataset:</image:title>
      <image:caption>Messy, inconsistent, and difficult to use: mixed name formats multiple date styles varied attendance and payment codes typos and abbreviations notes entered in different styles</image:caption>
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      <image:title>Data Cleaning Project - Cleaned &amp; deduped dataset:</image:title>
      <image:caption>Standardised, structured, and analysis‑ready: consistent names unified dates normalised workshop types clear attendance and payment categories tidy notes true duplicates removed</image:caption>
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      <image:title>Data Analysis Project - Raw dataset:</image:title>
      <image:caption>The dataset included: inconsistent product names mixed date formats varied category labels untidy notes small structural issues It was usable, but not analysis‑ready.</image:caption>
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      <image:title>Data Analysis Project - Dashboard Overview:</image:title>
      <image:caption>The dashboard includes: YTD revenue, volume, averages Category performance Top products Payment method breakdown Customer type comparison Notes themes Clear, simple visuals designed for small‑team decision‑making</image:caption>
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      <image:title>Data Joining Project - Raw dataset:</image:title>
      <image:caption>The dataset included: inconsistent product names mixed date formats varied category labels untidy notes small structural issues It was usable, but not analysis‑ready.</image:caption>
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      <image:title>Data Joining Project - Dashboard Overview:</image:title>
      <image:caption>The dashboard includes: YTD revenue, volume, averages Category performance Top products Payment method breakdown Customer type comparison Notes themes Clear, simple visuals designed for small‑team decision‑making</image:caption>
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