Question: Dataset: https://drive.google.com/file/d/1brORy0nugKmBmzldZweift-4C5ogR8Q7/view?usp=drive_link 1.3 Extracting and Cleaning Data Using Regex e Use Regex only to: o Extract numeric values from text-based numeric columns (e.g., Property GFA,

Dataset: https://drive.google.com/file/d/1brORy0nugKmBmzldZweift-4C5ogR8Q7/view?usp=drive_link

Dataset:
1.3 Extracting and Cleaning Data Using Regex e Use Regex only to: o Extract numeric values from text-based numeric columns (e.g., Property GFA, Energy Use, Emissions). o Standardize Postal Codes to follow the Canadian format (A1A 1A1). o Clean and extract meaningful text from Property Names and Addresses. o Ensure extracted values are properly converted to numerical types for analysis. Part 2: Exploratory Data Analysis (EDA) and Aggregations 2.1 Statistical Summary Generate summary statistics for numerical features using extracted data. Identify and explain key observations (e.g., outliers, mean vs. median differences)

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