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Descriptive Analytics

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  1. Data Understanding & Preprocessing
  2. Briefly describe the dataset, including types of variables, number of observations, and sources.
  3. Apply necessary data cleaning and preprocessing techniques (e.g., handling missing values, outliers, encoding, and normalization).
  4. Justify the preprocessing steps taken.

Attached Files (PDF/DOCX): Assignment 2 – CLO2docx.pdf

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