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Project Overview: Wine Ratings Data Preparation

Data-Processing Steps

  1. Data Loading:
    Imported the dataset, focusing on the following key columns:

    • country
    • description
    • points
    • price
    • province
    • variety
    • winery
  2. Data Cleaning:

    • Removed Missing Values:
      Dropped rows with missing data in any of the selected columns.
  3. Handled Duplicates:

    • Exact Matches:
      Excluded exact duplicates with identical descriptions.
    • Different Descriptions:
      Merged ratings and combined descriptions for entries representing the same wine rated by different users.

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Dataset containing ~130k wine reviews published to WineEnthusiast from Kaggle

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