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In this video tutorial, Fabian discusses the importance of data cleaning and preparation before analyzing collected data. He emphasizes the need to carefully screen, clean, and prepare the data to avoid including wrong or false data, which can lead to inaccurate results. Fabian covers three key points: data cleaning techniques, identifying bias in the data, and ways to reduce that bias. Proper data cleaning is crucial to ensuring accurate data analysis for large datasets collected from surveys.
