Created
Sep 1, 2025 10:14 PM
Tags
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1. Quick Check on data
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2. Identify numeric and categorical data types
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1. Renaming Column
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2. Cleaning the column headers
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3. Converting a Column to Numeric in Pandas
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1. Clean_content_numeric_data
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2. Fill the missing values for numeric columns only
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3. Clean_content_categorical_data
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1. df.loc and df.iloc
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2. Cleaning the row labels (if needed)
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Understanding parse_dates in Pandas
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Efficient Data Handling with chunksize in pd.read_csv
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