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Power BI Basket Analysis

A Power BI project for association analysis between categories and keywords using Support, Confidence, and Lift metrics.

Description

This report implements a Basket Analysis on a dataset of books, calculating key metrics to understand relationships between categories and keywords.

Technologies Used:

  • Power BI
  • DAX
  • Dataset of books with categories and keywords

📂 Repository Contents

  • basket-analysis.pbix → The complete Power BI file (if you want to share the data).
  • basket-analysis.pbit → The Power BI template (without data, lighter version).
  • DataSet_MaKtaba.xlsx → Sample dataset used for analysis.
  • ITA - Market Basket Analysis in PowerBI.pptx → Presentation in Italian language of the methodology and results.

📈 Metrics Calculated

This analysis includes:

  • Support → Frequency with which a category-keyword pair appears in the dataset.
  • Confidence → Probability that a category/keyword appears given that the other is present.
  • Lift → Strength of the relationship between a category and a keyword.

🛠️ How to Use

  1. Download the .pbix file or the .pbit template.
  2. Open it in Power BI Desktop.
  3. If using the .pbit file, connect your dataset and refresh the report.

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An unconventional example of using a Market Basket Analysis on PowerBI, for analysing key associations between categories and keywords in a dataset of books using Support, Confidence and Lift metrics.

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