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The way you're cleaning messy text data in Python is probably wrong 📊 Most analysts chain replace methods to clean phone numbers. It works until a new format appears and everything breaks. Here's the one line fix that handles infinite variations: Junior approach: chain multiple replace methods (fragile, breaks constantly). Senior approach: regex with \\D (non digit pattern). One line of logic that says
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Learning how to clean data in Python from fixing data types and duplicates to handling missing values and record linkage. Data cleaning is one of the most important steps in data science. Follow my journey as I learn data science step by step!! #WomenInTech #DataScience #STEM #DataCleaning
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Learning how to clean data in Python from fixing data types and duplicates to handling missing values and record linkage. Data cleaning is one of the most important steps in data science. Follow my journey as I learn data science step by step!! #WomenInTech #DataScience #STEM #DataCleaning
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