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Data cleaning is messy. It is also perpetual. If you handle raw data, the chances are that it requires cleaning. You often hear that data scientists or data analysts spend up to 80% of their time cleaning data. However, for a beginner, it isn’t always clear how to go about cleaning data. What is clean? Here follows some techniques and concepts that I have learnt on the matter so far.